From 159007e48c5901e24568a124f6809d52d33c5139 Mon Sep 17 00:00:00 2001
From: Justin Bois <bois@caltech.edu>
Date: Wed, 12 Jun 2024 23:59:06 -0700
Subject: [PATCH] Updates to Pandas using assign

---
 .../lessons/l16_intro_to_pandas.ipynb.txt     | 1716 ++++++++---------
 .../lessons/l17_split_apply_combine.ipynb.txt |   14 +-
 2024/_sources/lessons/l18_plotting.ipynb.txt  |   46 +-
 .../lessons/l19_high_level_plotting.ipynb.txt |   86 +-
 .../lessons/l20_styling_bokeh.ipynb.txt       |   94 +-
 .../_sources/lessons/l28_dashboards.ipynb.txt |   66 +-
 .../l29_javascript_for_bokeh.ipynb.txt        |   26 +-
 2024/_sources/lessons/l40_holoviews.ipynb.txt |  279 ++-
 2024/_sources/lessons/l41_altair.ipynb.txt    |   86 +-
 .../lessons/l42_more_altair.ipynb.txt         |  134 +-
 2024/exercises/exercise_1/exercise_1.1.html   |    2 +-
 2024/exercises/exercise_1/exercise_1.2.html   |    2 +-
 2024/exercises/exercise_1/exercise_1.3.html   |    2 +-
 2024/exercises/exercise_1/exercise_1.4.html   |    2 +-
 2024/exercises/exercise_1/exercise_1.5.html   |    2 +-
 2024/exercises/exercise_1/exercise_1.6.html   |    2 +-
 2024/exercises/exercise_1/index.html          |    2 +-
 2024/exercises/exercise_2/exercise_2.1.html   |    2 +-
 2024/exercises/exercise_2/exercise_2.2.html   |    2 +-
 2024/exercises/exercise_2/exercise_2.3.html   |    2 +-
 2024/exercises/exercise_2/exercise_2.4.html   |    2 +-
 2024/exercises/exercise_2/index.html          |    2 +-
 2024/exercises/exercise_3/exercise_3.1.html   |    2 +-
 2024/exercises/exercise_3/exercise_3.2.html   |    2 +-
 2024/exercises/exercise_3/exercise_3.3.html   |    2 +-
 2024/exercises/exercise_3/exercise_3.4.html   |    2 +-
 2024/exercises/exercise_3/exercise_3.5.html   |    2 +-
 2024/exercises/exercise_3/index.html          |    2 +-
 2024/exercises/exercise_4/exercise_4.1.html   |    2 +-
 2024/exercises/exercise_4/exercise_4.2.html   |    2 +-
 2024/exercises/exercise_4/exercise_4.3.html   |    2 +-
 2024/exercises/exercise_4/exercise_4.4.html   |    2 +-
 2024/exercises/exercise_4/exercise_4.5.html   |    2 +-
 2024/exercises/exercise_4/index.html          |    2 +-
 2024/exercises/exercise_5/exercise_5.1.html   |    2 +-
 2024/exercises/exercise_5/exercise_5.10.html  |    2 +-
 2024/exercises/exercise_5/exercise_5.11.html  |    2 +-
 2024/exercises/exercise_5/exercise_5.12.html  |    2 +-
 2024/exercises/exercise_5/exercise_5.2.html   |    2 +-
 2024/exercises/exercise_5/exercise_5.3.html   |    2 +-
 2024/exercises/exercise_5/exercise_5.4.html   |    2 +-
 2024/exercises/exercise_5/exercise_5.5.html   |    2 +-
 2024/exercises/exercise_5/exercise_5.6.html   |    2 +-
 2024/exercises/exercise_5/exercise_5.7.html   |    2 +-
 2024/exercises/exercise_5/exercise_5.8.html   |    2 +-
 2024/exercises/exercise_5/exercise_5.9.html   |    2 +-
 2024/exercises/exercise_5/index.html          |    2 +-
 2024/genindex.html                            |    2 +-
 2024/index.html                               |    2 +-
 2024/lessons/Untitled.html                    |    2 +-
 2024/lessons/Untitled1.html                   |    2 +-
 2024/lessons/Untitled2.html                   |    2 +-
 .../l00_configuring_your_computer.html        |    2 +-
 2024/lessons/l01_welcome.html                 |    2 +-
 .../l02_basic_command_line_skills.html        |    2 +-
 .../l03_variables_operators_types.html        |    2 +-
 .../l04_more_operators_and_conditionals.html  |    2 +-
 2024/lessons/l05_lists_and_tuples.html        |    2 +-
 2024/lessons/l06_iteration.html               |    2 +-
 2024/lessons/l07_intro_to_functions.html      |    2 +-
 2024/lessons/l08_string_methods.html          |    2 +-
 2024/lessons/l09_dictionaries.html            |    2 +-
 2024/lessons/l10_packages_and_modules.html    |    2 +-
 2024/lessons/l11_file_io.html                 |    2 +-
 .../lessons/l12_version_control_with_git.html |    4 +-
 .../l13_exceptions_and_error_handling.html    |    2 +-
 2024/lessons/l14_style.html                   |    2 +-
 2024/lessons/l15_comprehensions.html          |    2 +-
 2024/lessons/l16_intro_to_pandas.html         | 1710 ++++++++--------
 2024/lessons/l16_intro_to_pandas.ipynb        | 1716 ++++++++---------
 2024/lessons/l17_split_apply_combine.html     |   16 +-
 2024/lessons/l17_split_apply_combine.ipynb    |   14 +-
 2024/lessons/l18_plotting.html                |   46 +-
 2024/lessons/l18_plotting.ipynb               |   46 +-
 2024/lessons/l19_high_level_plotting.html     |   86 +-
 2024/lessons/l19_high_level_plotting.ipynb    |   86 +-
 2024/lessons/l20_styling_bokeh.html           |   94 +-
 2024/lessons/l20_styling_bokeh.ipynb          |   94 +-
 .../lessons/l21_intro_to_numpy_and_scipy.html |    2 +-
 ...2_plotting_time_series_generated_data.html |    2 +-
 .../l23_other_packages_and_languages.html     |    2 +-
 2024/lessons/l24_bootcamp_recap.html          |    2 +-
 .../lessons/l25_random_number_generation.html |    2 +-
 2024/lessons/l26_hackerstats_1.html           |    2 +-
 2024/lessons/l27_hackerstats_2.html           |    2 +-
 2024/lessons/l28_dashboards.html              |   60 +-
 2024/lessons/l28_dashboards.ipynb             |   66 +-
 2024/lessons/l29_javascript_for_bokeh.html    |   26 +-
 2024/lessons/l29_javascript_for_bokeh.ipynb   |   26 +-
 2024/lessons/l30_control_of_devices.html      |    2 +-
 .../l31_apps_for_external_devices.html        |    2 +-
 2024/lessons/l32_control_panels.html          |    2 +-
 2024/lessons/l33_more_command_line.html       |    2 +-
 2024/lessons/l34_regular_expressions.html     |    2 +-
 2024/lessons/l35_intro_to_scripting.html      |    2 +-
 2024/lessons/l36_intro_to_oop.html            |    2 +-
 2024/lessons/l37_algorithmic_complexity.html  |    2 +-
 2024/lessons/l38_testing_and_tdd.html         |    2 +-
 2024/lessons/l39_examples_of_tdd.html         |    2 +-
 2024/lessons/l40_holoviews.html               |  275 ++-
 2024/lessons/l40_holoviews.ipynb              |  279 ++-
 2024/lessons/l41_altair.html                  |   88 +-
 2024/lessons/l41_altair.ipynb                 |   86 +-
 2024/lessons/l42_more_altair.html             |  136 +-
 2024/lessons/l42_more_altair.ipynb            |  134 +-
 2024/lessons/l43_overplotting.html            |    2 +-
 .../l44_intro_to_image_processing.html        |    2 +-
 2024/lessons/l45_segmentation.html            |    2 +-
 .../lessons/l46_plotting_with_matplotlib.html |    2 +-
 2024/resources.html                           |    2 +-
 2024/schedule.html                            |    2 +-
 2024/search.html                              |    2 +-
 2024/searchindex.js                           |    2 +-
 113 files changed, 4018 insertions(+), 3781 deletions(-)

diff --git a/2024/_sources/lessons/l16_intro_to_pandas.ipynb.txt b/2024/_sources/lessons/l16_intro_to_pandas.ipynb.txt
index 4d8347f0..a4d93f3a 100644
--- a/2024/_sources/lessons/l16_intro_to_pandas.ipynb.txt
+++ b/2024/_sources/lessons/l16_intro_to_pandas.ipynb.txt
@@ -1737,7 +1737,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "This tells use who is an insomniac. We can simply add this back to the data frame."
+    "This tells use who is an insomniac. We can simply add this column to the data frame using the `assign()` method. The `assign()` method takes a set of keyword arguments where the name of the keyword is the column heading and the argument is a list (or tuple, NumPy array, etc.) that populates the column."
    ]
   },
   {
@@ -1928,7 +1928,7 @@
    ],
    "source": [
     "# Add the column to the DataFrame\n",
-    "df['insomnia'] = df['sci'] <= 16\n",
+    "df = df.assign(insomnia=df['sci'] <= 16)\n",
     "\n",
     "# Take a look\n",
     "df.head()"
@@ -2371,231 +2371,231 @@
      "data": {
       "text/html": [
        "<style type=\"text/css\">\n",
-       "#T_fc6e8_row0_col0, #T_fc6e8_row0_col1, #T_fc6e8_row0_col2, #T_fc6e8_row0_col3, #T_fc6e8_row0_col4, #T_fc6e8_row0_col5, #T_fc6e8_row0_col6, #T_fc6e8_row0_col7, #T_fc6e8_row0_col8, #T_fc6e8_row0_col9, #T_fc6e8_row0_col10, #T_fc6e8_row0_col11, #T_fc6e8_row0_col12, #T_fc6e8_row0_col13, #T_fc6e8_row0_col14, #T_fc6e8_row0_col15, #T_fc6e8_row1_col0, #T_fc6e8_row1_col1, #T_fc6e8_row1_col2, #T_fc6e8_row1_col3, #T_fc6e8_row1_col4, #T_fc6e8_row1_col5, #T_fc6e8_row1_col6, #T_fc6e8_row1_col7, #T_fc6e8_row1_col8, #T_fc6e8_row1_col9, #T_fc6e8_row1_col10, #T_fc6e8_row1_col11, #T_fc6e8_row1_col12, #T_fc6e8_row1_col13, #T_fc6e8_row1_col14, #T_fc6e8_row1_col15, #T_fc6e8_row4_col0, #T_fc6e8_row4_col1, #T_fc6e8_row4_col2, #T_fc6e8_row4_col3, #T_fc6e8_row4_col4, #T_fc6e8_row4_col5, #T_fc6e8_row4_col6, #T_fc6e8_row4_col7, #T_fc6e8_row4_col8, #T_fc6e8_row4_col9, #T_fc6e8_row4_col10, #T_fc6e8_row4_col11, #T_fc6e8_row4_col12, #T_fc6e8_row4_col13, #T_fc6e8_row4_col14, #T_fc6e8_row4_col15, #T_fc6e8_row5_col0, #T_fc6e8_row5_col1, #T_fc6e8_row5_col2, #T_fc6e8_row5_col3, #T_fc6e8_row5_col4, #T_fc6e8_row5_col5, #T_fc6e8_row5_col6, #T_fc6e8_row5_col7, #T_fc6e8_row5_col8, #T_fc6e8_row5_col9, #T_fc6e8_row5_col10, #T_fc6e8_row5_col11, #T_fc6e8_row5_col12, #T_fc6e8_row5_col13, #T_fc6e8_row5_col14, #T_fc6e8_row5_col15, #T_fc6e8_row6_col0, #T_fc6e8_row6_col1, #T_fc6e8_row6_col2, #T_fc6e8_row6_col3, #T_fc6e8_row6_col4, #T_fc6e8_row6_col5, #T_fc6e8_row6_col6, #T_fc6e8_row6_col7, #T_fc6e8_row6_col8, #T_fc6e8_row6_col9, #T_fc6e8_row6_col10, #T_fc6e8_row6_col11, #T_fc6e8_row6_col12, #T_fc6e8_row6_col13, #T_fc6e8_row6_col14, #T_fc6e8_row6_col15, #T_fc6e8_row7_col0, #T_fc6e8_row7_col1, #T_fc6e8_row7_col2, #T_fc6e8_row7_col3, #T_fc6e8_row7_col4, #T_fc6e8_row7_col5, #T_fc6e8_row7_col6, #T_fc6e8_row7_col7, #T_fc6e8_row7_col8, #T_fc6e8_row7_col9, #T_fc6e8_row7_col10, #T_fc6e8_row7_col11, #T_fc6e8_row7_col12, #T_fc6e8_row7_col13, #T_fc6e8_row7_col14, #T_fc6e8_row7_col15 {\n",
+       "#T_045de_row0_col0, #T_045de_row0_col1, #T_045de_row0_col2, #T_045de_row0_col3, #T_045de_row0_col4, #T_045de_row0_col5, #T_045de_row0_col6, #T_045de_row0_col7, #T_045de_row0_col8, #T_045de_row0_col9, #T_045de_row0_col10, #T_045de_row0_col11, #T_045de_row0_col12, #T_045de_row0_col13, #T_045de_row0_col14, #T_045de_row0_col15, #T_045de_row1_col0, #T_045de_row1_col1, #T_045de_row1_col2, #T_045de_row1_col3, #T_045de_row1_col4, #T_045de_row1_col5, #T_045de_row1_col6, #T_045de_row1_col7, #T_045de_row1_col8, #T_045de_row1_col9, #T_045de_row1_col10, #T_045de_row1_col11, #T_045de_row1_col12, #T_045de_row1_col13, #T_045de_row1_col14, #T_045de_row1_col15, #T_045de_row4_col0, #T_045de_row4_col1, #T_045de_row4_col2, #T_045de_row4_col3, #T_045de_row4_col4, #T_045de_row4_col5, #T_045de_row4_col6, #T_045de_row4_col7, #T_045de_row4_col8, #T_045de_row4_col9, #T_045de_row4_col10, #T_045de_row4_col11, #T_045de_row4_col12, #T_045de_row4_col13, #T_045de_row4_col14, #T_045de_row4_col15, #T_045de_row5_col0, #T_045de_row5_col1, #T_045de_row5_col2, #T_045de_row5_col3, #T_045de_row5_col4, #T_045de_row5_col5, #T_045de_row5_col6, #T_045de_row5_col7, #T_045de_row5_col8, #T_045de_row5_col9, #T_045de_row5_col10, #T_045de_row5_col11, #T_045de_row5_col12, #T_045de_row5_col13, #T_045de_row5_col14, #T_045de_row5_col15, #T_045de_row6_col0, #T_045de_row6_col1, #T_045de_row6_col2, #T_045de_row6_col3, #T_045de_row6_col4, #T_045de_row6_col5, #T_045de_row6_col6, #T_045de_row6_col7, #T_045de_row6_col8, #T_045de_row6_col9, #T_045de_row6_col10, #T_045de_row6_col11, #T_045de_row6_col12, #T_045de_row6_col13, #T_045de_row6_col14, #T_045de_row6_col15, #T_045de_row7_col0, #T_045de_row7_col1, #T_045de_row7_col2, #T_045de_row7_col3, #T_045de_row7_col4, #T_045de_row7_col5, #T_045de_row7_col6, #T_045de_row7_col7, #T_045de_row7_col8, #T_045de_row7_col9, #T_045de_row7_col10, #T_045de_row7_col11, #T_045de_row7_col12, #T_045de_row7_col13, #T_045de_row7_col14, #T_045de_row7_col15 {\n",
        "  background-color: lightgray;\n",
        "}\n",
-       "#T_fc6e8_row2_col0, #T_fc6e8_row2_col1, #T_fc6e8_row2_col2, #T_fc6e8_row2_col3, #T_fc6e8_row2_col4, #T_fc6e8_row2_col5, #T_fc6e8_row2_col6, #T_fc6e8_row2_col7, #T_fc6e8_row2_col8, #T_fc6e8_row2_col9, #T_fc6e8_row2_col10, #T_fc6e8_row2_col11, #T_fc6e8_row2_col12, #T_fc6e8_row2_col13, #T_fc6e8_row2_col14, #T_fc6e8_row2_col15, #T_fc6e8_row3_col0, #T_fc6e8_row3_col1, #T_fc6e8_row3_col2, #T_fc6e8_row3_col3, #T_fc6e8_row3_col4, #T_fc6e8_row3_col5, #T_fc6e8_row3_col6, #T_fc6e8_row3_col7, #T_fc6e8_row3_col8, #T_fc6e8_row3_col9, #T_fc6e8_row3_col10, #T_fc6e8_row3_col11, #T_fc6e8_row3_col12, #T_fc6e8_row3_col13, #T_fc6e8_row3_col14, #T_fc6e8_row3_col15, #T_fc6e8_row8_col0, #T_fc6e8_row8_col1, #T_fc6e8_row8_col2, #T_fc6e8_row8_col3, #T_fc6e8_row8_col4, #T_fc6e8_row8_col5, #T_fc6e8_row8_col6, #T_fc6e8_row8_col7, #T_fc6e8_row8_col8, #T_fc6e8_row8_col9, #T_fc6e8_row8_col10, #T_fc6e8_row8_col11, #T_fc6e8_row8_col12, #T_fc6e8_row8_col13, #T_fc6e8_row8_col14, #T_fc6e8_row8_col15, #T_fc6e8_row9_col0, #T_fc6e8_row9_col1, #T_fc6e8_row9_col2, #T_fc6e8_row9_col3, #T_fc6e8_row9_col4, #T_fc6e8_row9_col5, #T_fc6e8_row9_col6, #T_fc6e8_row9_col7, #T_fc6e8_row9_col8, #T_fc6e8_row9_col9, #T_fc6e8_row9_col10, #T_fc6e8_row9_col11, #T_fc6e8_row9_col12, #T_fc6e8_row9_col13, #T_fc6e8_row9_col14, #T_fc6e8_row9_col15 {\n",
+       "#T_045de_row2_col0, #T_045de_row2_col1, #T_045de_row2_col2, #T_045de_row2_col3, #T_045de_row2_col4, #T_045de_row2_col5, #T_045de_row2_col6, #T_045de_row2_col7, #T_045de_row2_col8, #T_045de_row2_col9, #T_045de_row2_col10, #T_045de_row2_col11, #T_045de_row2_col12, #T_045de_row2_col13, #T_045de_row2_col14, #T_045de_row2_col15, #T_045de_row3_col0, #T_045de_row3_col1, #T_045de_row3_col2, #T_045de_row3_col3, #T_045de_row3_col4, #T_045de_row3_col5, #T_045de_row3_col6, #T_045de_row3_col7, #T_045de_row3_col8, #T_045de_row3_col9, #T_045de_row3_col10, #T_045de_row3_col11, #T_045de_row3_col12, #T_045de_row3_col13, #T_045de_row3_col14, #T_045de_row3_col15, #T_045de_row8_col0, #T_045de_row8_col1, #T_045de_row8_col2, #T_045de_row8_col3, #T_045de_row8_col4, #T_045de_row8_col5, #T_045de_row8_col6, #T_045de_row8_col7, #T_045de_row8_col8, #T_045de_row8_col9, #T_045de_row8_col10, #T_045de_row8_col11, #T_045de_row8_col12, #T_045de_row8_col13, #T_045de_row8_col14, #T_045de_row8_col15, #T_045de_row9_col0, #T_045de_row9_col1, #T_045de_row9_col2, #T_045de_row9_col3, #T_045de_row9_col4, #T_045de_row9_col5, #T_045de_row9_col6, #T_045de_row9_col7, #T_045de_row9_col8, #T_045de_row9_col9, #T_045de_row9_col10, #T_045de_row9_col11, #T_045de_row9_col12, #T_045de_row9_col13, #T_045de_row9_col14, #T_045de_row9_col15 {\n",
        "  background-color: #7fc97f;\n",
        "}\n",
        "</style>\n",
-       "<table id=\"T_fc6e8\">\n",
+       "<table id=\"T_045de\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_fc6e8_level0_col0\" class=\"col_heading level0 col0\" >participant number</th>\n",
-       "      <th id=\"T_fc6e8_level0_col1\" class=\"col_heading level0 col1\" >gender</th>\n",
-       "      <th id=\"T_fc6e8_level0_col2\" class=\"col_heading level0 col2\" >age</th>\n",
-       "      <th id=\"T_fc6e8_level0_col3\" class=\"col_heading level0 col3\" >correct hit percentage</th>\n",
-       "      <th id=\"T_fc6e8_level0_col4\" class=\"col_heading level0 col4\" >correct reject percentage</th>\n",
-       "      <th id=\"T_fc6e8_level0_col5\" class=\"col_heading level0 col5\" >percent correct</th>\n",
-       "      <th id=\"T_fc6e8_level0_col6\" class=\"col_heading level0 col6\" >confidence when correct hit</th>\n",
-       "      <th id=\"T_fc6e8_level0_col7\" class=\"col_heading level0 col7\" >confidence when incorrect hit</th>\n",
-       "      <th id=\"T_fc6e8_level0_col8\" class=\"col_heading level0 col8\" >confidence when correct reject</th>\n",
-       "      <th id=\"T_fc6e8_level0_col9\" class=\"col_heading level0 col9\" >confidence when incorrect reject</th>\n",
-       "      <th id=\"T_fc6e8_level0_col10\" class=\"col_heading level0 col10\" >confidence when correct</th>\n",
-       "      <th id=\"T_fc6e8_level0_col11\" class=\"col_heading level0 col11\" >confidence when incorrect</th>\n",
-       "      <th id=\"T_fc6e8_level0_col12\" class=\"col_heading level0 col12\" >sci</th>\n",
-       "      <th id=\"T_fc6e8_level0_col13\" class=\"col_heading level0 col13\" >psqi</th>\n",
-       "      <th id=\"T_fc6e8_level0_col14\" class=\"col_heading level0 col14\" >ess</th>\n",
-       "      <th id=\"T_fc6e8_level0_col15\" class=\"col_heading level0 col15\" >insomnia</th>\n",
+       "      <th id=\"T_045de_level0_col0\" class=\"col_heading level0 col0\" >participant number</th>\n",
+       "      <th id=\"T_045de_level0_col1\" class=\"col_heading level0 col1\" >gender</th>\n",
+       "      <th id=\"T_045de_level0_col2\" class=\"col_heading level0 col2\" >age</th>\n",
+       "      <th id=\"T_045de_level0_col3\" class=\"col_heading level0 col3\" >correct hit percentage</th>\n",
+       "      <th id=\"T_045de_level0_col4\" class=\"col_heading level0 col4\" >correct reject percentage</th>\n",
+       "      <th id=\"T_045de_level0_col5\" class=\"col_heading level0 col5\" >percent correct</th>\n",
+       "      <th id=\"T_045de_level0_col6\" class=\"col_heading level0 col6\" >confidence when correct hit</th>\n",
+       "      <th id=\"T_045de_level0_col7\" class=\"col_heading level0 col7\" >confidence when incorrect hit</th>\n",
+       "      <th id=\"T_045de_level0_col8\" class=\"col_heading level0 col8\" >confidence when correct reject</th>\n",
+       "      <th id=\"T_045de_level0_col9\" class=\"col_heading level0 col9\" >confidence when incorrect reject</th>\n",
+       "      <th id=\"T_045de_level0_col10\" class=\"col_heading level0 col10\" >confidence when correct</th>\n",
+       "      <th id=\"T_045de_level0_col11\" class=\"col_heading level0 col11\" >confidence when incorrect</th>\n",
+       "      <th id=\"T_045de_level0_col12\" class=\"col_heading level0 col12\" >sci</th>\n",
+       "      <th id=\"T_045de_level0_col13\" class=\"col_heading level0 col13\" >psqi</th>\n",
+       "      <th id=\"T_045de_level0_col14\" class=\"col_heading level0 col14\" >ess</th>\n",
+       "      <th id=\"T_045de_level0_col15\" class=\"col_heading level0 col15\" >insomnia</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
-       "      <td id=\"T_fc6e8_row0_col0\" class=\"data row0 col0\" >8</td>\n",
-       "      <td id=\"T_fc6e8_row0_col1\" class=\"data row0 col1\" >f</td>\n",
-       "      <td id=\"T_fc6e8_row0_col2\" class=\"data row0 col2\" >39</td>\n",
-       "      <td id=\"T_fc6e8_row0_col3\" class=\"data row0 col3\" >65</td>\n",
-       "      <td id=\"T_fc6e8_row0_col4\" class=\"data row0 col4\" >80</td>\n",
-       "      <td id=\"T_fc6e8_row0_col5\" class=\"data row0 col5\" >72.500000</td>\n",
-       "      <td id=\"T_fc6e8_row0_col6\" class=\"data row0 col6\" >91.000000</td>\n",
-       "      <td id=\"T_fc6e8_row0_col7\" class=\"data row0 col7\" >90.000000</td>\n",
-       "      <td id=\"T_fc6e8_row0_col8\" class=\"data row0 col8\" >93.000000</td>\n",
-       "      <td id=\"T_fc6e8_row0_col9\" class=\"data row0 col9\" >83.500000</td>\n",
-       "      <td id=\"T_fc6e8_row0_col10\" class=\"data row0 col10\" >93.000000</td>\n",
-       "      <td id=\"T_fc6e8_row0_col11\" class=\"data row0 col11\" >90.000000</td>\n",
-       "      <td id=\"T_fc6e8_row0_col12\" class=\"data row0 col12\" >9</td>\n",
-       "      <td id=\"T_fc6e8_row0_col13\" class=\"data row0 col13\" >13</td>\n",
-       "      <td id=\"T_fc6e8_row0_col14\" class=\"data row0 col14\" >2</td>\n",
-       "      <td id=\"T_fc6e8_row0_col15\" class=\"data row0 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
-       "      <td id=\"T_fc6e8_row1_col0\" class=\"data row1 col0\" >16</td>\n",
-       "      <td id=\"T_fc6e8_row1_col1\" class=\"data row1 col1\" >m</td>\n",
-       "      <td id=\"T_fc6e8_row1_col2\" class=\"data row1 col2\" >42</td>\n",
-       "      <td id=\"T_fc6e8_row1_col3\" class=\"data row1 col3\" >90</td>\n",
-       "      <td id=\"T_fc6e8_row1_col4\" class=\"data row1 col4\" >90</td>\n",
-       "      <td id=\"T_fc6e8_row1_col5\" class=\"data row1 col5\" >90.000000</td>\n",
-       "      <td id=\"T_fc6e8_row1_col6\" class=\"data row1 col6\" >75.500000</td>\n",
-       "      <td id=\"T_fc6e8_row1_col7\" class=\"data row1 col7\" >55.500000</td>\n",
-       "      <td id=\"T_fc6e8_row1_col8\" class=\"data row1 col8\" >70.500000</td>\n",
-       "      <td id=\"T_fc6e8_row1_col9\" class=\"data row1 col9\" >50.000000</td>\n",
-       "      <td id=\"T_fc6e8_row1_col10\" class=\"data row1 col10\" >75.000000</td>\n",
-       "      <td id=\"T_fc6e8_row1_col11\" class=\"data row1 col11\" >50.000000</td>\n",
-       "      <td id=\"T_fc6e8_row1_col12\" class=\"data row1 col12\" >4</td>\n",
-       "      <td id=\"T_fc6e8_row1_col13\" class=\"data row1 col13\" >11</td>\n",
-       "      <td id=\"T_fc6e8_row1_col14\" class=\"data row1 col14\" >7</td>\n",
-       "      <td id=\"T_fc6e8_row1_col15\" class=\"data row1 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
-       "      <td id=\"T_fc6e8_row2_col0\" class=\"data row2 col0\" >18</td>\n",
-       "      <td id=\"T_fc6e8_row2_col1\" class=\"data row2 col1\" >f</td>\n",
-       "      <td id=\"T_fc6e8_row2_col2\" class=\"data row2 col2\" >31</td>\n",
-       "      <td id=\"T_fc6e8_row2_col3\" class=\"data row2 col3\" >90</td>\n",
-       "      <td id=\"T_fc6e8_row2_col4\" class=\"data row2 col4\" >95</td>\n",
-       "      <td id=\"T_fc6e8_row2_col5\" class=\"data row2 col5\" >92.500000</td>\n",
-       "      <td id=\"T_fc6e8_row2_col6\" class=\"data row2 col6\" >89.500000</td>\n",
-       "      <td id=\"T_fc6e8_row2_col7\" class=\"data row2 col7\" >90.000000</td>\n",
-       "      <td id=\"T_fc6e8_row2_col8\" class=\"data row2 col8\" >86.000000</td>\n",
-       "      <td id=\"T_fc6e8_row2_col9\" class=\"data row2 col9\" >81.000000</td>\n",
-       "      <td id=\"T_fc6e8_row2_col10\" class=\"data row2 col10\" >89.000000</td>\n",
-       "      <td id=\"T_fc6e8_row2_col11\" class=\"data row2 col11\" >88.000000</td>\n",
-       "      <td id=\"T_fc6e8_row2_col12\" class=\"data row2 col12\" >10</td>\n",
-       "      <td id=\"T_fc6e8_row2_col13\" class=\"data row2 col13\" >9</td>\n",
-       "      <td id=\"T_fc6e8_row2_col14\" class=\"data row2 col14\" >3</td>\n",
-       "      <td id=\"T_fc6e8_row2_col15\" class=\"data row2 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
-       "      <td id=\"T_fc6e8_row3_col0\" class=\"data row3 col0\" >22</td>\n",
-       "      <td id=\"T_fc6e8_row3_col1\" class=\"data row3 col1\" >f</td>\n",
-       "      <td id=\"T_fc6e8_row3_col2\" class=\"data row3 col2\" >35</td>\n",
-       "      <td id=\"T_fc6e8_row3_col3\" class=\"data row3 col3\" >100</td>\n",
-       "      <td id=\"T_fc6e8_row3_col4\" class=\"data row3 col4\" >75</td>\n",
-       "      <td id=\"T_fc6e8_row3_col5\" class=\"data row3 col5\" >87.500000</td>\n",
-       "      <td id=\"T_fc6e8_row3_col6\" class=\"data row3 col6\" >89.500000</td>\n",
-       "      <td id=\"T_fc6e8_row3_col7\" class=\"data row3 col7\" >nan</td>\n",
-       "      <td id=\"T_fc6e8_row3_col8\" class=\"data row3 col8\" >71.000000</td>\n",
-       "      <td id=\"T_fc6e8_row3_col9\" class=\"data row3 col9\" >80.000000</td>\n",
-       "      <td id=\"T_fc6e8_row3_col10\" class=\"data row3 col10\" >88.000000</td>\n",
-       "      <td id=\"T_fc6e8_row3_col11\" class=\"data row3 col11\" >80.000000</td>\n",
-       "      <td id=\"T_fc6e8_row3_col12\" class=\"data row3 col12\" >13</td>\n",
-       "      <td id=\"T_fc6e8_row3_col13\" class=\"data row3 col13\" >8</td>\n",
-       "      <td id=\"T_fc6e8_row3_col14\" class=\"data row3 col14\" >20</td>\n",
-       "      <td id=\"T_fc6e8_row3_col15\" class=\"data row3 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
-       "      <td id=\"T_fc6e8_row4_col0\" class=\"data row4 col0\" >27</td>\n",
-       "      <td id=\"T_fc6e8_row4_col1\" class=\"data row4 col1\" >f</td>\n",
-       "      <td id=\"T_fc6e8_row4_col2\" class=\"data row4 col2\" >74</td>\n",
-       "      <td id=\"T_fc6e8_row4_col3\" class=\"data row4 col3\" >60</td>\n",
-       "      <td id=\"T_fc6e8_row4_col4\" class=\"data row4 col4\" >65</td>\n",
-       "      <td id=\"T_fc6e8_row4_col5\" class=\"data row4 col5\" >62.500000</td>\n",
-       "      <td id=\"T_fc6e8_row4_col6\" class=\"data row4 col6\" >68.500000</td>\n",
-       "      <td id=\"T_fc6e8_row4_col7\" class=\"data row4 col7\" >49.000000</td>\n",
-       "      <td id=\"T_fc6e8_row4_col8\" class=\"data row4 col8\" >61.000000</td>\n",
-       "      <td id=\"T_fc6e8_row4_col9\" class=\"data row4 col9\" >49.000000</td>\n",
-       "      <td id=\"T_fc6e8_row4_col10\" class=\"data row4 col10\" >65.000000</td>\n",
-       "      <td id=\"T_fc6e8_row4_col11\" class=\"data row4 col11\" >49.000000</td>\n",
-       "      <td id=\"T_fc6e8_row4_col12\" class=\"data row4 col12\" >13</td>\n",
-       "      <td id=\"T_fc6e8_row4_col13\" class=\"data row4 col13\" >9</td>\n",
-       "      <td id=\"T_fc6e8_row4_col14\" class=\"data row4 col14\" >12</td>\n",
-       "      <td id=\"T_fc6e8_row4_col15\" class=\"data row4 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
-       "      <td id=\"T_fc6e8_row5_col0\" class=\"data row5 col0\" >28</td>\n",
-       "      <td id=\"T_fc6e8_row5_col1\" class=\"data row5 col1\" >f</td>\n",
-       "      <td id=\"T_fc6e8_row5_col2\" class=\"data row5 col2\" >61</td>\n",
-       "      <td id=\"T_fc6e8_row5_col3\" class=\"data row5 col3\" >80</td>\n",
-       "      <td id=\"T_fc6e8_row5_col4\" class=\"data row5 col4\" >20</td>\n",
-       "      <td id=\"T_fc6e8_row5_col5\" class=\"data row5 col5\" >50.000000</td>\n",
-       "      <td id=\"T_fc6e8_row5_col6\" class=\"data row5 col6\" >71.000000</td>\n",
-       "      <td id=\"T_fc6e8_row5_col7\" class=\"data row5 col7\" >63.000000</td>\n",
-       "      <td id=\"T_fc6e8_row5_col8\" class=\"data row5 col8\" >31.000000</td>\n",
-       "      <td id=\"T_fc6e8_row5_col9\" class=\"data row5 col9\" >72.500000</td>\n",
-       "      <td id=\"T_fc6e8_row5_col10\" class=\"data row5 col10\" >64.500000</td>\n",
-       "      <td id=\"T_fc6e8_row5_col11\" class=\"data row5 col11\" >70.500000</td>\n",
-       "      <td id=\"T_fc6e8_row5_col12\" class=\"data row5 col12\" >15</td>\n",
-       "      <td id=\"T_fc6e8_row5_col13\" class=\"data row5 col13\" >14</td>\n",
-       "      <td id=\"T_fc6e8_row5_col14\" class=\"data row5 col14\" >2</td>\n",
-       "      <td id=\"T_fc6e8_row5_col15\" class=\"data row5 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
-       "      <td id=\"T_fc6e8_row6_col0\" class=\"data row6 col0\" >30</td>\n",
-       "      <td id=\"T_fc6e8_row6_col1\" class=\"data row6 col1\" >m</td>\n",
-       "      <td id=\"T_fc6e8_row6_col2\" class=\"data row6 col2\" >32</td>\n",
-       "      <td id=\"T_fc6e8_row6_col3\" class=\"data row6 col3\" >90</td>\n",
-       "      <td id=\"T_fc6e8_row6_col4\" class=\"data row6 col4\" >75</td>\n",
-       "      <td id=\"T_fc6e8_row6_col5\" class=\"data row6 col5\" >82.500000</td>\n",
-       "      <td id=\"T_fc6e8_row6_col6\" class=\"data row6 col6\" >67.000000</td>\n",
-       "      <td id=\"T_fc6e8_row6_col7\" class=\"data row6 col7\" >56.500000</td>\n",
-       "      <td id=\"T_fc6e8_row6_col8\" class=\"data row6 col8\" >66.000000</td>\n",
-       "      <td id=\"T_fc6e8_row6_col9\" class=\"data row6 col9\" >65.000000</td>\n",
-       "      <td id=\"T_fc6e8_row6_col10\" class=\"data row6 col10\" >66.000000</td>\n",
-       "      <td id=\"T_fc6e8_row6_col11\" class=\"data row6 col11\" >64.000000</td>\n",
-       "      <td id=\"T_fc6e8_row6_col12\" class=\"data row6 col12\" >16</td>\n",
-       "      <td id=\"T_fc6e8_row6_col13\" class=\"data row6 col13\" >9</td>\n",
-       "      <td id=\"T_fc6e8_row6_col14\" class=\"data row6 col14\" >3</td>\n",
-       "      <td id=\"T_fc6e8_row6_col15\" class=\"data row6 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
-       "      <td id=\"T_fc6e8_row7_col0\" class=\"data row7 col0\" >33</td>\n",
-       "      <td id=\"T_fc6e8_row7_col1\" class=\"data row7 col1\" >m</td>\n",
-       "      <td id=\"T_fc6e8_row7_col2\" class=\"data row7 col2\" >62</td>\n",
-       "      <td id=\"T_fc6e8_row7_col3\" class=\"data row7 col3\" >45</td>\n",
-       "      <td id=\"T_fc6e8_row7_col4\" class=\"data row7 col4\" >90</td>\n",
-       "      <td id=\"T_fc6e8_row7_col5\" class=\"data row7 col5\" >67.500000</td>\n",
-       "      <td id=\"T_fc6e8_row7_col6\" class=\"data row7 col6\" >54.000000</td>\n",
-       "      <td id=\"T_fc6e8_row7_col7\" class=\"data row7 col7\" >37.000000</td>\n",
-       "      <td id=\"T_fc6e8_row7_col8\" class=\"data row7 col8\" >65.000000</td>\n",
-       "      <td id=\"T_fc6e8_row7_col9\" class=\"data row7 col9\" >81.500000</td>\n",
-       "      <td id=\"T_fc6e8_row7_col10\" class=\"data row7 col10\" >62.000000</td>\n",
-       "      <td id=\"T_fc6e8_row7_col11\" class=\"data row7 col11\" >61.000000</td>\n",
-       "      <td id=\"T_fc6e8_row7_col12\" class=\"data row7 col12\" >14</td>\n",
-       "      <td id=\"T_fc6e8_row7_col13\" class=\"data row7 col13\" >9</td>\n",
-       "      <td id=\"T_fc6e8_row7_col14\" class=\"data row7 col14\" >9</td>\n",
-       "      <td id=\"T_fc6e8_row7_col15\" class=\"data row7 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
-       "      <td id=\"T_fc6e8_row8_col0\" class=\"data row8 col0\" >34</td>\n",
-       "      <td id=\"T_fc6e8_row8_col1\" class=\"data row8 col1\" >f</td>\n",
-       "      <td id=\"T_fc6e8_row8_col2\" class=\"data row8 col2\" >33</td>\n",
-       "      <td id=\"T_fc6e8_row8_col3\" class=\"data row8 col3\" >80</td>\n",
-       "      <td id=\"T_fc6e8_row8_col4\" class=\"data row8 col4\" >100</td>\n",
-       "      <td id=\"T_fc6e8_row8_col5\" class=\"data row8 col5\" >90.000000</td>\n",
-       "      <td id=\"T_fc6e8_row8_col6\" class=\"data row8 col6\" >70.500000</td>\n",
-       "      <td id=\"T_fc6e8_row8_col7\" class=\"data row8 col7\" >76.500000</td>\n",
-       "      <td id=\"T_fc6e8_row8_col8\" class=\"data row8 col8\" >64.500000</td>\n",
-       "      <td id=\"T_fc6e8_row8_col9\" class=\"data row8 col9\" >nan</td>\n",
-       "      <td id=\"T_fc6e8_row8_col10\" class=\"data row8 col10\" >68.000000</td>\n",
-       "      <td id=\"T_fc6e8_row8_col11\" class=\"data row8 col11\" >76.500000</td>\n",
-       "      <td id=\"T_fc6e8_row8_col12\" class=\"data row8 col12\" >14</td>\n",
-       "      <td id=\"T_fc6e8_row8_col13\" class=\"data row8 col13\" >12</td>\n",
-       "      <td id=\"T_fc6e8_row8_col14\" class=\"data row8 col14\" >10</td>\n",
-       "      <td id=\"T_fc6e8_row8_col15\" class=\"data row8 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
-       "      <td id=\"T_fc6e8_row9_col0\" class=\"data row9 col0\" >35</td>\n",
-       "      <td id=\"T_fc6e8_row9_col1\" class=\"data row9 col1\" >f</td>\n",
-       "      <td id=\"T_fc6e8_row9_col2\" class=\"data row9 col2\" >53</td>\n",
-       "      <td id=\"T_fc6e8_row9_col3\" class=\"data row9 col3\" >100</td>\n",
-       "      <td id=\"T_fc6e8_row9_col4\" class=\"data row9 col4\" >50</td>\n",
-       "      <td id=\"T_fc6e8_row9_col5\" class=\"data row9 col5\" >75.000000</td>\n",
-       "      <td id=\"T_fc6e8_row9_col6\" class=\"data row9 col6\" >74.500000</td>\n",
-       "      <td id=\"T_fc6e8_row9_col7\" class=\"data row9 col7\" >nan</td>\n",
-       "      <td id=\"T_fc6e8_row9_col8\" class=\"data row9 col8\" >60.500000</td>\n",
-       "      <td id=\"T_fc6e8_row9_col9\" class=\"data row9 col9\" >65.000000</td>\n",
-       "      <td id=\"T_fc6e8_row9_col10\" class=\"data row9 col10\" >71.000000</td>\n",
-       "      <td id=\"T_fc6e8_row9_col11\" class=\"data row9 col11\" >65.000000</td>\n",
-       "      <td id=\"T_fc6e8_row9_col12\" class=\"data row9 col12\" >14</td>\n",
-       "      <td id=\"T_fc6e8_row9_col13\" class=\"data row9 col13\" >8</td>\n",
-       "      <td id=\"T_fc6e8_row9_col14\" class=\"data row9 col14\" >7</td>\n",
-       "      <td id=\"T_fc6e8_row9_col15\" class=\"data row9 col15\" >True</td>\n",
+       "      <th id=\"T_045de_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+       "      <td id=\"T_045de_row0_col0\" class=\"data row0 col0\" >8</td>\n",
+       "      <td id=\"T_045de_row0_col1\" class=\"data row0 col1\" >f</td>\n",
+       "      <td id=\"T_045de_row0_col2\" class=\"data row0 col2\" >39</td>\n",
+       "      <td id=\"T_045de_row0_col3\" class=\"data row0 col3\" >65</td>\n",
+       "      <td id=\"T_045de_row0_col4\" class=\"data row0 col4\" >80</td>\n",
+       "      <td id=\"T_045de_row0_col5\" class=\"data row0 col5\" >72.500000</td>\n",
+       "      <td id=\"T_045de_row0_col6\" class=\"data row0 col6\" >91.000000</td>\n",
+       "      <td id=\"T_045de_row0_col7\" class=\"data row0 col7\" >90.000000</td>\n",
+       "      <td id=\"T_045de_row0_col8\" class=\"data row0 col8\" >93.000000</td>\n",
+       "      <td id=\"T_045de_row0_col9\" class=\"data row0 col9\" >83.500000</td>\n",
+       "      <td id=\"T_045de_row0_col10\" class=\"data row0 col10\" >93.000000</td>\n",
+       "      <td id=\"T_045de_row0_col11\" class=\"data row0 col11\" >90.000000</td>\n",
+       "      <td id=\"T_045de_row0_col12\" class=\"data row0 col12\" >9</td>\n",
+       "      <td id=\"T_045de_row0_col13\" class=\"data row0 col13\" >13</td>\n",
+       "      <td id=\"T_045de_row0_col14\" class=\"data row0 col14\" >2</td>\n",
+       "      <td id=\"T_045de_row0_col15\" class=\"data row0 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+       "      <td id=\"T_045de_row1_col0\" class=\"data row1 col0\" >16</td>\n",
+       "      <td id=\"T_045de_row1_col1\" class=\"data row1 col1\" >m</td>\n",
+       "      <td id=\"T_045de_row1_col2\" class=\"data row1 col2\" >42</td>\n",
+       "      <td id=\"T_045de_row1_col3\" class=\"data row1 col3\" >90</td>\n",
+       "      <td id=\"T_045de_row1_col4\" class=\"data row1 col4\" >90</td>\n",
+       "      <td id=\"T_045de_row1_col5\" class=\"data row1 col5\" >90.000000</td>\n",
+       "      <td id=\"T_045de_row1_col6\" class=\"data row1 col6\" >75.500000</td>\n",
+       "      <td id=\"T_045de_row1_col7\" class=\"data row1 col7\" >55.500000</td>\n",
+       "      <td id=\"T_045de_row1_col8\" class=\"data row1 col8\" >70.500000</td>\n",
+       "      <td id=\"T_045de_row1_col9\" class=\"data row1 col9\" >50.000000</td>\n",
+       "      <td id=\"T_045de_row1_col10\" class=\"data row1 col10\" >75.000000</td>\n",
+       "      <td id=\"T_045de_row1_col11\" class=\"data row1 col11\" >50.000000</td>\n",
+       "      <td id=\"T_045de_row1_col12\" class=\"data row1 col12\" >4</td>\n",
+       "      <td id=\"T_045de_row1_col13\" class=\"data row1 col13\" >11</td>\n",
+       "      <td id=\"T_045de_row1_col14\" class=\"data row1 col14\" >7</td>\n",
+       "      <td id=\"T_045de_row1_col15\" class=\"data row1 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+       "      <td id=\"T_045de_row2_col0\" class=\"data row2 col0\" >18</td>\n",
+       "      <td id=\"T_045de_row2_col1\" class=\"data row2 col1\" >f</td>\n",
+       "      <td id=\"T_045de_row2_col2\" class=\"data row2 col2\" >31</td>\n",
+       "      <td id=\"T_045de_row2_col3\" class=\"data row2 col3\" >90</td>\n",
+       "      <td id=\"T_045de_row2_col4\" class=\"data row2 col4\" >95</td>\n",
+       "      <td id=\"T_045de_row2_col5\" class=\"data row2 col5\" >92.500000</td>\n",
+       "      <td id=\"T_045de_row2_col6\" class=\"data row2 col6\" >89.500000</td>\n",
+       "      <td id=\"T_045de_row2_col7\" class=\"data row2 col7\" >90.000000</td>\n",
+       "      <td id=\"T_045de_row2_col8\" class=\"data row2 col8\" >86.000000</td>\n",
+       "      <td id=\"T_045de_row2_col9\" class=\"data row2 col9\" >81.000000</td>\n",
+       "      <td id=\"T_045de_row2_col10\" class=\"data row2 col10\" >89.000000</td>\n",
+       "      <td id=\"T_045de_row2_col11\" class=\"data row2 col11\" >88.000000</td>\n",
+       "      <td id=\"T_045de_row2_col12\" class=\"data row2 col12\" >10</td>\n",
+       "      <td id=\"T_045de_row2_col13\" class=\"data row2 col13\" >9</td>\n",
+       "      <td id=\"T_045de_row2_col14\" class=\"data row2 col14\" >3</td>\n",
+       "      <td id=\"T_045de_row2_col15\" class=\"data row2 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+       "      <td id=\"T_045de_row3_col0\" class=\"data row3 col0\" >22</td>\n",
+       "      <td id=\"T_045de_row3_col1\" class=\"data row3 col1\" >f</td>\n",
+       "      <td id=\"T_045de_row3_col2\" class=\"data row3 col2\" >35</td>\n",
+       "      <td id=\"T_045de_row3_col3\" class=\"data row3 col3\" >100</td>\n",
+       "      <td id=\"T_045de_row3_col4\" class=\"data row3 col4\" >75</td>\n",
+       "      <td id=\"T_045de_row3_col5\" class=\"data row3 col5\" >87.500000</td>\n",
+       "      <td id=\"T_045de_row3_col6\" class=\"data row3 col6\" >89.500000</td>\n",
+       "      <td id=\"T_045de_row3_col7\" class=\"data row3 col7\" >nan</td>\n",
+       "      <td id=\"T_045de_row3_col8\" class=\"data row3 col8\" >71.000000</td>\n",
+       "      <td id=\"T_045de_row3_col9\" class=\"data row3 col9\" >80.000000</td>\n",
+       "      <td id=\"T_045de_row3_col10\" class=\"data row3 col10\" >88.000000</td>\n",
+       "      <td id=\"T_045de_row3_col11\" class=\"data row3 col11\" >80.000000</td>\n",
+       "      <td id=\"T_045de_row3_col12\" class=\"data row3 col12\" >13</td>\n",
+       "      <td id=\"T_045de_row3_col13\" class=\"data row3 col13\" >8</td>\n",
+       "      <td id=\"T_045de_row3_col14\" class=\"data row3 col14\" >20</td>\n",
+       "      <td id=\"T_045de_row3_col15\" class=\"data row3 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+       "      <td id=\"T_045de_row4_col0\" class=\"data row4 col0\" >27</td>\n",
+       "      <td id=\"T_045de_row4_col1\" class=\"data row4 col1\" >f</td>\n",
+       "      <td id=\"T_045de_row4_col2\" class=\"data row4 col2\" >74</td>\n",
+       "      <td id=\"T_045de_row4_col3\" class=\"data row4 col3\" >60</td>\n",
+       "      <td id=\"T_045de_row4_col4\" class=\"data row4 col4\" >65</td>\n",
+       "      <td id=\"T_045de_row4_col5\" class=\"data row4 col5\" >62.500000</td>\n",
+       "      <td id=\"T_045de_row4_col6\" class=\"data row4 col6\" >68.500000</td>\n",
+       "      <td id=\"T_045de_row4_col7\" class=\"data row4 col7\" >49.000000</td>\n",
+       "      <td id=\"T_045de_row4_col8\" class=\"data row4 col8\" >61.000000</td>\n",
+       "      <td id=\"T_045de_row4_col9\" class=\"data row4 col9\" >49.000000</td>\n",
+       "      <td id=\"T_045de_row4_col10\" class=\"data row4 col10\" >65.000000</td>\n",
+       "      <td id=\"T_045de_row4_col11\" class=\"data row4 col11\" >49.000000</td>\n",
+       "      <td id=\"T_045de_row4_col12\" class=\"data row4 col12\" >13</td>\n",
+       "      <td id=\"T_045de_row4_col13\" class=\"data row4 col13\" >9</td>\n",
+       "      <td id=\"T_045de_row4_col14\" class=\"data row4 col14\" >12</td>\n",
+       "      <td id=\"T_045de_row4_col15\" class=\"data row4 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
+       "      <td id=\"T_045de_row5_col0\" class=\"data row5 col0\" >28</td>\n",
+       "      <td id=\"T_045de_row5_col1\" class=\"data row5 col1\" >f</td>\n",
+       "      <td id=\"T_045de_row5_col2\" class=\"data row5 col2\" >61</td>\n",
+       "      <td id=\"T_045de_row5_col3\" class=\"data row5 col3\" >80</td>\n",
+       "      <td id=\"T_045de_row5_col4\" class=\"data row5 col4\" >20</td>\n",
+       "      <td id=\"T_045de_row5_col5\" class=\"data row5 col5\" >50.000000</td>\n",
+       "      <td id=\"T_045de_row5_col6\" class=\"data row5 col6\" >71.000000</td>\n",
+       "      <td id=\"T_045de_row5_col7\" class=\"data row5 col7\" >63.000000</td>\n",
+       "      <td id=\"T_045de_row5_col8\" class=\"data row5 col8\" >31.000000</td>\n",
+       "      <td id=\"T_045de_row5_col9\" class=\"data row5 col9\" >72.500000</td>\n",
+       "      <td id=\"T_045de_row5_col10\" class=\"data row5 col10\" >64.500000</td>\n",
+       "      <td id=\"T_045de_row5_col11\" class=\"data row5 col11\" >70.500000</td>\n",
+       "      <td id=\"T_045de_row5_col12\" class=\"data row5 col12\" >15</td>\n",
+       "      <td id=\"T_045de_row5_col13\" class=\"data row5 col13\" >14</td>\n",
+       "      <td id=\"T_045de_row5_col14\" class=\"data row5 col14\" >2</td>\n",
+       "      <td id=\"T_045de_row5_col15\" class=\"data row5 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
+       "      <td id=\"T_045de_row6_col0\" class=\"data row6 col0\" >30</td>\n",
+       "      <td id=\"T_045de_row6_col1\" class=\"data row6 col1\" >m</td>\n",
+       "      <td id=\"T_045de_row6_col2\" class=\"data row6 col2\" >32</td>\n",
+       "      <td id=\"T_045de_row6_col3\" class=\"data row6 col3\" >90</td>\n",
+       "      <td id=\"T_045de_row6_col4\" class=\"data row6 col4\" >75</td>\n",
+       "      <td id=\"T_045de_row6_col5\" class=\"data row6 col5\" >82.500000</td>\n",
+       "      <td id=\"T_045de_row6_col6\" class=\"data row6 col6\" >67.000000</td>\n",
+       "      <td id=\"T_045de_row6_col7\" class=\"data row6 col7\" >56.500000</td>\n",
+       "      <td id=\"T_045de_row6_col8\" class=\"data row6 col8\" >66.000000</td>\n",
+       "      <td id=\"T_045de_row6_col9\" class=\"data row6 col9\" >65.000000</td>\n",
+       "      <td id=\"T_045de_row6_col10\" class=\"data row6 col10\" >66.000000</td>\n",
+       "      <td id=\"T_045de_row6_col11\" class=\"data row6 col11\" >64.000000</td>\n",
+       "      <td id=\"T_045de_row6_col12\" class=\"data row6 col12\" >16</td>\n",
+       "      <td id=\"T_045de_row6_col13\" class=\"data row6 col13\" >9</td>\n",
+       "      <td id=\"T_045de_row6_col14\" class=\"data row6 col14\" >3</td>\n",
+       "      <td id=\"T_045de_row6_col15\" class=\"data row6 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
+       "      <td id=\"T_045de_row7_col0\" class=\"data row7 col0\" >33</td>\n",
+       "      <td id=\"T_045de_row7_col1\" class=\"data row7 col1\" >m</td>\n",
+       "      <td id=\"T_045de_row7_col2\" class=\"data row7 col2\" >62</td>\n",
+       "      <td id=\"T_045de_row7_col3\" class=\"data row7 col3\" >45</td>\n",
+       "      <td id=\"T_045de_row7_col4\" class=\"data row7 col4\" >90</td>\n",
+       "      <td id=\"T_045de_row7_col5\" class=\"data row7 col5\" >67.500000</td>\n",
+       "      <td id=\"T_045de_row7_col6\" class=\"data row7 col6\" >54.000000</td>\n",
+       "      <td id=\"T_045de_row7_col7\" class=\"data row7 col7\" >37.000000</td>\n",
+       "      <td id=\"T_045de_row7_col8\" class=\"data row7 col8\" >65.000000</td>\n",
+       "      <td id=\"T_045de_row7_col9\" class=\"data row7 col9\" >81.500000</td>\n",
+       "      <td id=\"T_045de_row7_col10\" class=\"data row7 col10\" >62.000000</td>\n",
+       "      <td id=\"T_045de_row7_col11\" class=\"data row7 col11\" >61.000000</td>\n",
+       "      <td id=\"T_045de_row7_col12\" class=\"data row7 col12\" >14</td>\n",
+       "      <td id=\"T_045de_row7_col13\" class=\"data row7 col13\" >9</td>\n",
+       "      <td id=\"T_045de_row7_col14\" class=\"data row7 col14\" >9</td>\n",
+       "      <td id=\"T_045de_row7_col15\" class=\"data row7 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
+       "      <td id=\"T_045de_row8_col0\" class=\"data row8 col0\" >34</td>\n",
+       "      <td id=\"T_045de_row8_col1\" class=\"data row8 col1\" >f</td>\n",
+       "      <td id=\"T_045de_row8_col2\" class=\"data row8 col2\" >33</td>\n",
+       "      <td id=\"T_045de_row8_col3\" class=\"data row8 col3\" >80</td>\n",
+       "      <td id=\"T_045de_row8_col4\" class=\"data row8 col4\" >100</td>\n",
+       "      <td id=\"T_045de_row8_col5\" class=\"data row8 col5\" >90.000000</td>\n",
+       "      <td id=\"T_045de_row8_col6\" class=\"data row8 col6\" >70.500000</td>\n",
+       "      <td id=\"T_045de_row8_col7\" class=\"data row8 col7\" >76.500000</td>\n",
+       "      <td id=\"T_045de_row8_col8\" class=\"data row8 col8\" >64.500000</td>\n",
+       "      <td id=\"T_045de_row8_col9\" class=\"data row8 col9\" >nan</td>\n",
+       "      <td id=\"T_045de_row8_col10\" class=\"data row8 col10\" >68.000000</td>\n",
+       "      <td id=\"T_045de_row8_col11\" class=\"data row8 col11\" >76.500000</td>\n",
+       "      <td id=\"T_045de_row8_col12\" class=\"data row8 col12\" >14</td>\n",
+       "      <td id=\"T_045de_row8_col13\" class=\"data row8 col13\" >12</td>\n",
+       "      <td id=\"T_045de_row8_col14\" class=\"data row8 col14\" >10</td>\n",
+       "      <td id=\"T_045de_row8_col15\" class=\"data row8 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
+       "      <td id=\"T_045de_row9_col0\" class=\"data row9 col0\" >35</td>\n",
+       "      <td id=\"T_045de_row9_col1\" class=\"data row9 col1\" >f</td>\n",
+       "      <td id=\"T_045de_row9_col2\" class=\"data row9 col2\" >53</td>\n",
+       "      <td id=\"T_045de_row9_col3\" class=\"data row9 col3\" >100</td>\n",
+       "      <td id=\"T_045de_row9_col4\" class=\"data row9 col4\" >50</td>\n",
+       "      <td id=\"T_045de_row9_col5\" class=\"data row9 col5\" >75.000000</td>\n",
+       "      <td id=\"T_045de_row9_col6\" class=\"data row9 col6\" >74.500000</td>\n",
+       "      <td id=\"T_045de_row9_col7\" class=\"data row9 col7\" >nan</td>\n",
+       "      <td id=\"T_045de_row9_col8\" class=\"data row9 col8\" >60.500000</td>\n",
+       "      <td id=\"T_045de_row9_col9\" class=\"data row9 col9\" >65.000000</td>\n",
+       "      <td id=\"T_045de_row9_col10\" class=\"data row9 col10\" >71.000000</td>\n",
+       "      <td id=\"T_045de_row9_col11\" class=\"data row9 col11\" >65.000000</td>\n",
+       "      <td id=\"T_045de_row9_col12\" class=\"data row9 col12\" >14</td>\n",
+       "      <td id=\"T_045de_row9_col13\" class=\"data row9 col13\" >8</td>\n",
+       "      <td id=\"T_045de_row9_col14\" class=\"data row9 col14\" >7</td>\n",
+       "      <td id=\"T_045de_row9_col15\" class=\"data row9 col15\" >True</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x1738ba090>"
+       "<pandas.io.formats.style.Styler at 0x107cc3210>"
       ]
      },
      "execution_count": 24,
@@ -2629,261 +2629,261 @@
      "data": {
       "text/html": [
        "<style type=\"text/css\">\n",
-       "#T_ae02b_row0_col5 {\n",
+       "#T_4b89a_row0_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 72.5%, transparent 72.5%);\n",
        "}\n",
-       "#T_ae02b_row1_col5, #T_ae02b_row8_col5 {\n",
+       "#T_4b89a_row1_col5, #T_4b89a_row8_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 90.0%, transparent 90.0%);\n",
        "}\n",
-       "#T_ae02b_row2_col5 {\n",
+       "#T_4b89a_row2_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 92.5%, transparent 92.5%);\n",
        "}\n",
-       "#T_ae02b_row3_col5 {\n",
+       "#T_4b89a_row3_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 87.5%, transparent 87.5%);\n",
        "}\n",
-       "#T_ae02b_row4_col5 {\n",
+       "#T_4b89a_row4_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 62.5%, transparent 62.5%);\n",
        "}\n",
-       "#T_ae02b_row5_col5 {\n",
+       "#T_4b89a_row5_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 50.0%, transparent 50.0%);\n",
        "}\n",
-       "#T_ae02b_row6_col5 {\n",
+       "#T_4b89a_row6_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 82.5%, transparent 82.5%);\n",
        "}\n",
-       "#T_ae02b_row7_col5 {\n",
+       "#T_4b89a_row7_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 67.5%, transparent 67.5%);\n",
        "}\n",
-       "#T_ae02b_row9_col5 {\n",
+       "#T_4b89a_row9_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 75.0%, transparent 75.0%);\n",
        "}\n",
        "</style>\n",
-       "<table id=\"T_ae02b\">\n",
+       "<table id=\"T_4b89a\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_ae02b_level0_col0\" class=\"col_heading level0 col0\" >participant number</th>\n",
-       "      <th id=\"T_ae02b_level0_col1\" class=\"col_heading level0 col1\" >gender</th>\n",
-       "      <th id=\"T_ae02b_level0_col2\" class=\"col_heading level0 col2\" >age</th>\n",
-       "      <th id=\"T_ae02b_level0_col3\" class=\"col_heading level0 col3\" >correct hit percentage</th>\n",
-       "      <th id=\"T_ae02b_level0_col4\" class=\"col_heading level0 col4\" >correct reject percentage</th>\n",
-       "      <th id=\"T_ae02b_level0_col5\" class=\"col_heading level0 col5\" >percent correct</th>\n",
-       "      <th id=\"T_ae02b_level0_col6\" class=\"col_heading level0 col6\" >confidence when correct hit</th>\n",
-       "      <th id=\"T_ae02b_level0_col7\" class=\"col_heading level0 col7\" >confidence when incorrect hit</th>\n",
-       "      <th id=\"T_ae02b_level0_col8\" class=\"col_heading level0 col8\" >confidence when correct reject</th>\n",
-       "      <th id=\"T_ae02b_level0_col9\" class=\"col_heading level0 col9\" >confidence when incorrect reject</th>\n",
-       "      <th id=\"T_ae02b_level0_col10\" class=\"col_heading level0 col10\" >confidence when correct</th>\n",
-       "      <th id=\"T_ae02b_level0_col11\" class=\"col_heading level0 col11\" >confidence when incorrect</th>\n",
-       "      <th id=\"T_ae02b_level0_col12\" class=\"col_heading level0 col12\" >sci</th>\n",
-       "      <th id=\"T_ae02b_level0_col13\" class=\"col_heading level0 col13\" >psqi</th>\n",
-       "      <th id=\"T_ae02b_level0_col14\" class=\"col_heading level0 col14\" >ess</th>\n",
-       "      <th id=\"T_ae02b_level0_col15\" class=\"col_heading level0 col15\" >insomnia</th>\n",
+       "      <th id=\"T_4b89a_level0_col0\" class=\"col_heading level0 col0\" >participant number</th>\n",
+       "      <th id=\"T_4b89a_level0_col1\" class=\"col_heading level0 col1\" >gender</th>\n",
+       "      <th id=\"T_4b89a_level0_col2\" class=\"col_heading level0 col2\" >age</th>\n",
+       "      <th id=\"T_4b89a_level0_col3\" class=\"col_heading level0 col3\" >correct hit percentage</th>\n",
+       "      <th id=\"T_4b89a_level0_col4\" class=\"col_heading level0 col4\" >correct reject percentage</th>\n",
+       "      <th id=\"T_4b89a_level0_col5\" class=\"col_heading level0 col5\" >percent correct</th>\n",
+       "      <th id=\"T_4b89a_level0_col6\" class=\"col_heading level0 col6\" >confidence when correct hit</th>\n",
+       "      <th id=\"T_4b89a_level0_col7\" class=\"col_heading level0 col7\" >confidence when incorrect hit</th>\n",
+       "      <th id=\"T_4b89a_level0_col8\" class=\"col_heading level0 col8\" >confidence when correct reject</th>\n",
+       "      <th id=\"T_4b89a_level0_col9\" class=\"col_heading level0 col9\" >confidence when incorrect reject</th>\n",
+       "      <th id=\"T_4b89a_level0_col10\" class=\"col_heading level0 col10\" >confidence when correct</th>\n",
+       "      <th id=\"T_4b89a_level0_col11\" class=\"col_heading level0 col11\" >confidence when incorrect</th>\n",
+       "      <th id=\"T_4b89a_level0_col12\" class=\"col_heading level0 col12\" >sci</th>\n",
+       "      <th id=\"T_4b89a_level0_col13\" class=\"col_heading level0 col13\" >psqi</th>\n",
+       "      <th id=\"T_4b89a_level0_col14\" class=\"col_heading level0 col14\" >ess</th>\n",
+       "      <th id=\"T_4b89a_level0_col15\" class=\"col_heading level0 col15\" >insomnia</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
-       "      <td id=\"T_ae02b_row0_col0\" class=\"data row0 col0\" >8</td>\n",
-       "      <td id=\"T_ae02b_row0_col1\" class=\"data row0 col1\" >f</td>\n",
-       "      <td id=\"T_ae02b_row0_col2\" class=\"data row0 col2\" >39</td>\n",
-       "      <td id=\"T_ae02b_row0_col3\" class=\"data row0 col3\" >65</td>\n",
-       "      <td id=\"T_ae02b_row0_col4\" class=\"data row0 col4\" >80</td>\n",
-       "      <td id=\"T_ae02b_row0_col5\" class=\"data row0 col5\" >72.500000</td>\n",
-       "      <td id=\"T_ae02b_row0_col6\" class=\"data row0 col6\" >91.000000</td>\n",
-       "      <td id=\"T_ae02b_row0_col7\" class=\"data row0 col7\" >90.000000</td>\n",
-       "      <td id=\"T_ae02b_row0_col8\" class=\"data row0 col8\" >93.000000</td>\n",
-       "      <td id=\"T_ae02b_row0_col9\" class=\"data row0 col9\" >83.500000</td>\n",
-       "      <td id=\"T_ae02b_row0_col10\" class=\"data row0 col10\" >93.000000</td>\n",
-       "      <td id=\"T_ae02b_row0_col11\" class=\"data row0 col11\" >90.000000</td>\n",
-       "      <td id=\"T_ae02b_row0_col12\" class=\"data row0 col12\" >9</td>\n",
-       "      <td id=\"T_ae02b_row0_col13\" class=\"data row0 col13\" >13</td>\n",
-       "      <td id=\"T_ae02b_row0_col14\" class=\"data row0 col14\" >2</td>\n",
-       "      <td id=\"T_ae02b_row0_col15\" class=\"data row0 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
-       "      <td id=\"T_ae02b_row1_col0\" class=\"data row1 col0\" >16</td>\n",
-       "      <td id=\"T_ae02b_row1_col1\" class=\"data row1 col1\" >m</td>\n",
-       "      <td id=\"T_ae02b_row1_col2\" class=\"data row1 col2\" >42</td>\n",
-       "      <td id=\"T_ae02b_row1_col3\" class=\"data row1 col3\" >90</td>\n",
-       "      <td id=\"T_ae02b_row1_col4\" class=\"data row1 col4\" >90</td>\n",
-       "      <td id=\"T_ae02b_row1_col5\" class=\"data row1 col5\" >90.000000</td>\n",
-       "      <td id=\"T_ae02b_row1_col6\" class=\"data row1 col6\" >75.500000</td>\n",
-       "      <td id=\"T_ae02b_row1_col7\" class=\"data row1 col7\" >55.500000</td>\n",
-       "      <td id=\"T_ae02b_row1_col8\" class=\"data row1 col8\" >70.500000</td>\n",
-       "      <td id=\"T_ae02b_row1_col9\" class=\"data row1 col9\" >50.000000</td>\n",
-       "      <td id=\"T_ae02b_row1_col10\" class=\"data row1 col10\" >75.000000</td>\n",
-       "      <td id=\"T_ae02b_row1_col11\" class=\"data row1 col11\" >50.000000</td>\n",
-       "      <td id=\"T_ae02b_row1_col12\" class=\"data row1 col12\" >4</td>\n",
-       "      <td id=\"T_ae02b_row1_col13\" class=\"data row1 col13\" >11</td>\n",
-       "      <td id=\"T_ae02b_row1_col14\" class=\"data row1 col14\" >7</td>\n",
-       "      <td id=\"T_ae02b_row1_col15\" class=\"data row1 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
-       "      <td id=\"T_ae02b_row2_col0\" class=\"data row2 col0\" >18</td>\n",
-       "      <td id=\"T_ae02b_row2_col1\" class=\"data row2 col1\" >f</td>\n",
-       "      <td id=\"T_ae02b_row2_col2\" class=\"data row2 col2\" >31</td>\n",
-       "      <td id=\"T_ae02b_row2_col3\" class=\"data row2 col3\" >90</td>\n",
-       "      <td id=\"T_ae02b_row2_col4\" class=\"data row2 col4\" >95</td>\n",
-       "      <td id=\"T_ae02b_row2_col5\" class=\"data row2 col5\" >92.500000</td>\n",
-       "      <td id=\"T_ae02b_row2_col6\" class=\"data row2 col6\" >89.500000</td>\n",
-       "      <td id=\"T_ae02b_row2_col7\" class=\"data row2 col7\" >90.000000</td>\n",
-       "      <td id=\"T_ae02b_row2_col8\" class=\"data row2 col8\" >86.000000</td>\n",
-       "      <td id=\"T_ae02b_row2_col9\" class=\"data row2 col9\" >81.000000</td>\n",
-       "      <td id=\"T_ae02b_row2_col10\" class=\"data row2 col10\" >89.000000</td>\n",
-       "      <td id=\"T_ae02b_row2_col11\" class=\"data row2 col11\" >88.000000</td>\n",
-       "      <td id=\"T_ae02b_row2_col12\" class=\"data row2 col12\" >10</td>\n",
-       "      <td id=\"T_ae02b_row2_col13\" class=\"data row2 col13\" >9</td>\n",
-       "      <td id=\"T_ae02b_row2_col14\" class=\"data row2 col14\" >3</td>\n",
-       "      <td id=\"T_ae02b_row2_col15\" class=\"data row2 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
-       "      <td id=\"T_ae02b_row3_col0\" class=\"data row3 col0\" >22</td>\n",
-       "      <td id=\"T_ae02b_row3_col1\" class=\"data row3 col1\" >f</td>\n",
-       "      <td id=\"T_ae02b_row3_col2\" class=\"data row3 col2\" >35</td>\n",
-       "      <td id=\"T_ae02b_row3_col3\" class=\"data row3 col3\" >100</td>\n",
-       "      <td id=\"T_ae02b_row3_col4\" class=\"data row3 col4\" >75</td>\n",
-       "      <td id=\"T_ae02b_row3_col5\" class=\"data row3 col5\" >87.500000</td>\n",
-       "      <td id=\"T_ae02b_row3_col6\" class=\"data row3 col6\" >89.500000</td>\n",
-       "      <td id=\"T_ae02b_row3_col7\" class=\"data row3 col7\" >nan</td>\n",
-       "      <td id=\"T_ae02b_row3_col8\" class=\"data row3 col8\" >71.000000</td>\n",
-       "      <td id=\"T_ae02b_row3_col9\" class=\"data row3 col9\" >80.000000</td>\n",
-       "      <td id=\"T_ae02b_row3_col10\" class=\"data row3 col10\" >88.000000</td>\n",
-       "      <td id=\"T_ae02b_row3_col11\" class=\"data row3 col11\" >80.000000</td>\n",
-       "      <td id=\"T_ae02b_row3_col12\" class=\"data row3 col12\" >13</td>\n",
-       "      <td id=\"T_ae02b_row3_col13\" class=\"data row3 col13\" >8</td>\n",
-       "      <td id=\"T_ae02b_row3_col14\" class=\"data row3 col14\" >20</td>\n",
-       "      <td id=\"T_ae02b_row3_col15\" class=\"data row3 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
-       "      <td id=\"T_ae02b_row4_col0\" class=\"data row4 col0\" >27</td>\n",
-       "      <td id=\"T_ae02b_row4_col1\" class=\"data row4 col1\" >f</td>\n",
-       "      <td id=\"T_ae02b_row4_col2\" class=\"data row4 col2\" >74</td>\n",
-       "      <td id=\"T_ae02b_row4_col3\" class=\"data row4 col3\" >60</td>\n",
-       "      <td id=\"T_ae02b_row4_col4\" class=\"data row4 col4\" >65</td>\n",
-       "      <td id=\"T_ae02b_row4_col5\" class=\"data row4 col5\" >62.500000</td>\n",
-       "      <td id=\"T_ae02b_row4_col6\" class=\"data row4 col6\" >68.500000</td>\n",
-       "      <td id=\"T_ae02b_row4_col7\" class=\"data row4 col7\" >49.000000</td>\n",
-       "      <td id=\"T_ae02b_row4_col8\" class=\"data row4 col8\" >61.000000</td>\n",
-       "      <td id=\"T_ae02b_row4_col9\" class=\"data row4 col9\" >49.000000</td>\n",
-       "      <td id=\"T_ae02b_row4_col10\" class=\"data row4 col10\" >65.000000</td>\n",
-       "      <td id=\"T_ae02b_row4_col11\" class=\"data row4 col11\" >49.000000</td>\n",
-       "      <td id=\"T_ae02b_row4_col12\" class=\"data row4 col12\" >13</td>\n",
-       "      <td id=\"T_ae02b_row4_col13\" class=\"data row4 col13\" >9</td>\n",
-       "      <td id=\"T_ae02b_row4_col14\" class=\"data row4 col14\" >12</td>\n",
-       "      <td id=\"T_ae02b_row4_col15\" class=\"data row4 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
-       "      <td id=\"T_ae02b_row5_col0\" class=\"data row5 col0\" >28</td>\n",
-       "      <td id=\"T_ae02b_row5_col1\" class=\"data row5 col1\" >f</td>\n",
-       "      <td id=\"T_ae02b_row5_col2\" class=\"data row5 col2\" >61</td>\n",
-       "      <td id=\"T_ae02b_row5_col3\" class=\"data row5 col3\" >80</td>\n",
-       "      <td id=\"T_ae02b_row5_col4\" class=\"data row5 col4\" >20</td>\n",
-       "      <td id=\"T_ae02b_row5_col5\" class=\"data row5 col5\" >50.000000</td>\n",
-       "      <td id=\"T_ae02b_row5_col6\" class=\"data row5 col6\" >71.000000</td>\n",
-       "      <td id=\"T_ae02b_row5_col7\" class=\"data row5 col7\" >63.000000</td>\n",
-       "      <td id=\"T_ae02b_row5_col8\" class=\"data row5 col8\" >31.000000</td>\n",
-       "      <td id=\"T_ae02b_row5_col9\" class=\"data row5 col9\" >72.500000</td>\n",
-       "      <td id=\"T_ae02b_row5_col10\" class=\"data row5 col10\" >64.500000</td>\n",
-       "      <td id=\"T_ae02b_row5_col11\" class=\"data row5 col11\" >70.500000</td>\n",
-       "      <td id=\"T_ae02b_row5_col12\" class=\"data row5 col12\" >15</td>\n",
-       "      <td id=\"T_ae02b_row5_col13\" class=\"data row5 col13\" >14</td>\n",
-       "      <td id=\"T_ae02b_row5_col14\" class=\"data row5 col14\" >2</td>\n",
-       "      <td id=\"T_ae02b_row5_col15\" class=\"data row5 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
-       "      <td id=\"T_ae02b_row6_col0\" class=\"data row6 col0\" >30</td>\n",
-       "      <td id=\"T_ae02b_row6_col1\" class=\"data row6 col1\" >m</td>\n",
-       "      <td id=\"T_ae02b_row6_col2\" class=\"data row6 col2\" >32</td>\n",
-       "      <td id=\"T_ae02b_row6_col3\" class=\"data row6 col3\" >90</td>\n",
-       "      <td id=\"T_ae02b_row6_col4\" class=\"data row6 col4\" >75</td>\n",
-       "      <td id=\"T_ae02b_row6_col5\" class=\"data row6 col5\" >82.500000</td>\n",
-       "      <td id=\"T_ae02b_row6_col6\" class=\"data row6 col6\" >67.000000</td>\n",
-       "      <td id=\"T_ae02b_row6_col7\" class=\"data row6 col7\" >56.500000</td>\n",
-       "      <td id=\"T_ae02b_row6_col8\" class=\"data row6 col8\" >66.000000</td>\n",
-       "      <td id=\"T_ae02b_row6_col9\" class=\"data row6 col9\" >65.000000</td>\n",
-       "      <td id=\"T_ae02b_row6_col10\" class=\"data row6 col10\" >66.000000</td>\n",
-       "      <td id=\"T_ae02b_row6_col11\" class=\"data row6 col11\" >64.000000</td>\n",
-       "      <td id=\"T_ae02b_row6_col12\" class=\"data row6 col12\" >16</td>\n",
-       "      <td id=\"T_ae02b_row6_col13\" class=\"data row6 col13\" >9</td>\n",
-       "      <td id=\"T_ae02b_row6_col14\" class=\"data row6 col14\" >3</td>\n",
-       "      <td id=\"T_ae02b_row6_col15\" class=\"data row6 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
-       "      <td id=\"T_ae02b_row7_col0\" class=\"data row7 col0\" >33</td>\n",
-       "      <td id=\"T_ae02b_row7_col1\" class=\"data row7 col1\" >m</td>\n",
-       "      <td id=\"T_ae02b_row7_col2\" class=\"data row7 col2\" >62</td>\n",
-       "      <td id=\"T_ae02b_row7_col3\" class=\"data row7 col3\" >45</td>\n",
-       "      <td id=\"T_ae02b_row7_col4\" class=\"data row7 col4\" >90</td>\n",
-       "      <td id=\"T_ae02b_row7_col5\" class=\"data row7 col5\" >67.500000</td>\n",
-       "      <td id=\"T_ae02b_row7_col6\" class=\"data row7 col6\" >54.000000</td>\n",
-       "      <td id=\"T_ae02b_row7_col7\" class=\"data row7 col7\" >37.000000</td>\n",
-       "      <td id=\"T_ae02b_row7_col8\" class=\"data row7 col8\" >65.000000</td>\n",
-       "      <td id=\"T_ae02b_row7_col9\" class=\"data row7 col9\" >81.500000</td>\n",
-       "      <td id=\"T_ae02b_row7_col10\" class=\"data row7 col10\" >62.000000</td>\n",
-       "      <td id=\"T_ae02b_row7_col11\" class=\"data row7 col11\" >61.000000</td>\n",
-       "      <td id=\"T_ae02b_row7_col12\" class=\"data row7 col12\" >14</td>\n",
-       "      <td id=\"T_ae02b_row7_col13\" class=\"data row7 col13\" >9</td>\n",
-       "      <td id=\"T_ae02b_row7_col14\" class=\"data row7 col14\" >9</td>\n",
-       "      <td id=\"T_ae02b_row7_col15\" class=\"data row7 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
-       "      <td id=\"T_ae02b_row8_col0\" class=\"data row8 col0\" >34</td>\n",
-       "      <td id=\"T_ae02b_row8_col1\" class=\"data row8 col1\" >f</td>\n",
-       "      <td id=\"T_ae02b_row8_col2\" class=\"data row8 col2\" >33</td>\n",
-       "      <td id=\"T_ae02b_row8_col3\" class=\"data row8 col3\" >80</td>\n",
-       "      <td id=\"T_ae02b_row8_col4\" class=\"data row8 col4\" >100</td>\n",
-       "      <td id=\"T_ae02b_row8_col5\" class=\"data row8 col5\" >90.000000</td>\n",
-       "      <td id=\"T_ae02b_row8_col6\" class=\"data row8 col6\" >70.500000</td>\n",
-       "      <td id=\"T_ae02b_row8_col7\" class=\"data row8 col7\" >76.500000</td>\n",
-       "      <td id=\"T_ae02b_row8_col8\" class=\"data row8 col8\" >64.500000</td>\n",
-       "      <td id=\"T_ae02b_row8_col9\" class=\"data row8 col9\" >nan</td>\n",
-       "      <td id=\"T_ae02b_row8_col10\" class=\"data row8 col10\" >68.000000</td>\n",
-       "      <td id=\"T_ae02b_row8_col11\" class=\"data row8 col11\" >76.500000</td>\n",
-       "      <td id=\"T_ae02b_row8_col12\" class=\"data row8 col12\" >14</td>\n",
-       "      <td id=\"T_ae02b_row8_col13\" class=\"data row8 col13\" >12</td>\n",
-       "      <td id=\"T_ae02b_row8_col14\" class=\"data row8 col14\" >10</td>\n",
-       "      <td id=\"T_ae02b_row8_col15\" class=\"data row8 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
-       "      <td id=\"T_ae02b_row9_col0\" class=\"data row9 col0\" >35</td>\n",
-       "      <td id=\"T_ae02b_row9_col1\" class=\"data row9 col1\" >f</td>\n",
-       "      <td id=\"T_ae02b_row9_col2\" class=\"data row9 col2\" >53</td>\n",
-       "      <td id=\"T_ae02b_row9_col3\" class=\"data row9 col3\" >100</td>\n",
-       "      <td id=\"T_ae02b_row9_col4\" class=\"data row9 col4\" >50</td>\n",
-       "      <td id=\"T_ae02b_row9_col5\" class=\"data row9 col5\" >75.000000</td>\n",
-       "      <td id=\"T_ae02b_row9_col6\" class=\"data row9 col6\" >74.500000</td>\n",
-       "      <td id=\"T_ae02b_row9_col7\" class=\"data row9 col7\" >nan</td>\n",
-       "      <td id=\"T_ae02b_row9_col8\" class=\"data row9 col8\" >60.500000</td>\n",
-       "      <td id=\"T_ae02b_row9_col9\" class=\"data row9 col9\" >65.000000</td>\n",
-       "      <td id=\"T_ae02b_row9_col10\" class=\"data row9 col10\" >71.000000</td>\n",
-       "      <td id=\"T_ae02b_row9_col11\" class=\"data row9 col11\" >65.000000</td>\n",
-       "      <td id=\"T_ae02b_row9_col12\" class=\"data row9 col12\" >14</td>\n",
-       "      <td id=\"T_ae02b_row9_col13\" class=\"data row9 col13\" >8</td>\n",
-       "      <td id=\"T_ae02b_row9_col14\" class=\"data row9 col14\" >7</td>\n",
-       "      <td id=\"T_ae02b_row9_col15\" class=\"data row9 col15\" >True</td>\n",
+       "      <th id=\"T_4b89a_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+       "      <td id=\"T_4b89a_row0_col0\" class=\"data row0 col0\" >8</td>\n",
+       "      <td id=\"T_4b89a_row0_col1\" class=\"data row0 col1\" >f</td>\n",
+       "      <td id=\"T_4b89a_row0_col2\" class=\"data row0 col2\" >39</td>\n",
+       "      <td id=\"T_4b89a_row0_col3\" class=\"data row0 col3\" >65</td>\n",
+       "      <td id=\"T_4b89a_row0_col4\" class=\"data row0 col4\" >80</td>\n",
+       "      <td id=\"T_4b89a_row0_col5\" class=\"data row0 col5\" >72.500000</td>\n",
+       "      <td id=\"T_4b89a_row0_col6\" class=\"data row0 col6\" >91.000000</td>\n",
+       "      <td id=\"T_4b89a_row0_col7\" class=\"data row0 col7\" >90.000000</td>\n",
+       "      <td id=\"T_4b89a_row0_col8\" class=\"data row0 col8\" >93.000000</td>\n",
+       "      <td id=\"T_4b89a_row0_col9\" class=\"data row0 col9\" >83.500000</td>\n",
+       "      <td id=\"T_4b89a_row0_col10\" class=\"data row0 col10\" >93.000000</td>\n",
+       "      <td id=\"T_4b89a_row0_col11\" class=\"data row0 col11\" >90.000000</td>\n",
+       "      <td id=\"T_4b89a_row0_col12\" class=\"data row0 col12\" >9</td>\n",
+       "      <td id=\"T_4b89a_row0_col13\" class=\"data row0 col13\" >13</td>\n",
+       "      <td id=\"T_4b89a_row0_col14\" class=\"data row0 col14\" >2</td>\n",
+       "      <td id=\"T_4b89a_row0_col15\" class=\"data row0 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+       "      <td id=\"T_4b89a_row1_col0\" class=\"data row1 col0\" >16</td>\n",
+       "      <td id=\"T_4b89a_row1_col1\" class=\"data row1 col1\" >m</td>\n",
+       "      <td id=\"T_4b89a_row1_col2\" class=\"data row1 col2\" >42</td>\n",
+       "      <td id=\"T_4b89a_row1_col3\" class=\"data row1 col3\" >90</td>\n",
+       "      <td id=\"T_4b89a_row1_col4\" class=\"data row1 col4\" >90</td>\n",
+       "      <td id=\"T_4b89a_row1_col5\" class=\"data row1 col5\" >90.000000</td>\n",
+       "      <td id=\"T_4b89a_row1_col6\" class=\"data row1 col6\" >75.500000</td>\n",
+       "      <td id=\"T_4b89a_row1_col7\" class=\"data row1 col7\" >55.500000</td>\n",
+       "      <td id=\"T_4b89a_row1_col8\" class=\"data row1 col8\" >70.500000</td>\n",
+       "      <td id=\"T_4b89a_row1_col9\" class=\"data row1 col9\" >50.000000</td>\n",
+       "      <td id=\"T_4b89a_row1_col10\" class=\"data row1 col10\" >75.000000</td>\n",
+       "      <td id=\"T_4b89a_row1_col11\" class=\"data row1 col11\" >50.000000</td>\n",
+       "      <td id=\"T_4b89a_row1_col12\" class=\"data row1 col12\" >4</td>\n",
+       "      <td id=\"T_4b89a_row1_col13\" class=\"data row1 col13\" >11</td>\n",
+       "      <td id=\"T_4b89a_row1_col14\" class=\"data row1 col14\" >7</td>\n",
+       "      <td id=\"T_4b89a_row1_col15\" class=\"data row1 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+       "      <td id=\"T_4b89a_row2_col0\" class=\"data row2 col0\" >18</td>\n",
+       "      <td id=\"T_4b89a_row2_col1\" class=\"data row2 col1\" >f</td>\n",
+       "      <td id=\"T_4b89a_row2_col2\" class=\"data row2 col2\" >31</td>\n",
+       "      <td id=\"T_4b89a_row2_col3\" class=\"data row2 col3\" >90</td>\n",
+       "      <td id=\"T_4b89a_row2_col4\" class=\"data row2 col4\" >95</td>\n",
+       "      <td id=\"T_4b89a_row2_col5\" class=\"data row2 col5\" >92.500000</td>\n",
+       "      <td id=\"T_4b89a_row2_col6\" class=\"data row2 col6\" >89.500000</td>\n",
+       "      <td id=\"T_4b89a_row2_col7\" class=\"data row2 col7\" >90.000000</td>\n",
+       "      <td id=\"T_4b89a_row2_col8\" class=\"data row2 col8\" >86.000000</td>\n",
+       "      <td id=\"T_4b89a_row2_col9\" class=\"data row2 col9\" >81.000000</td>\n",
+       "      <td id=\"T_4b89a_row2_col10\" class=\"data row2 col10\" >89.000000</td>\n",
+       "      <td id=\"T_4b89a_row2_col11\" class=\"data row2 col11\" >88.000000</td>\n",
+       "      <td id=\"T_4b89a_row2_col12\" class=\"data row2 col12\" >10</td>\n",
+       "      <td id=\"T_4b89a_row2_col13\" class=\"data row2 col13\" >9</td>\n",
+       "      <td id=\"T_4b89a_row2_col14\" class=\"data row2 col14\" >3</td>\n",
+       "      <td id=\"T_4b89a_row2_col15\" class=\"data row2 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+       "      <td id=\"T_4b89a_row3_col0\" class=\"data row3 col0\" >22</td>\n",
+       "      <td id=\"T_4b89a_row3_col1\" class=\"data row3 col1\" >f</td>\n",
+       "      <td id=\"T_4b89a_row3_col2\" class=\"data row3 col2\" >35</td>\n",
+       "      <td id=\"T_4b89a_row3_col3\" class=\"data row3 col3\" >100</td>\n",
+       "      <td id=\"T_4b89a_row3_col4\" class=\"data row3 col4\" >75</td>\n",
+       "      <td id=\"T_4b89a_row3_col5\" class=\"data row3 col5\" >87.500000</td>\n",
+       "      <td id=\"T_4b89a_row3_col6\" class=\"data row3 col6\" >89.500000</td>\n",
+       "      <td id=\"T_4b89a_row3_col7\" class=\"data row3 col7\" >nan</td>\n",
+       "      <td id=\"T_4b89a_row3_col8\" class=\"data row3 col8\" >71.000000</td>\n",
+       "      <td id=\"T_4b89a_row3_col9\" class=\"data row3 col9\" >80.000000</td>\n",
+       "      <td id=\"T_4b89a_row3_col10\" class=\"data row3 col10\" >88.000000</td>\n",
+       "      <td id=\"T_4b89a_row3_col11\" class=\"data row3 col11\" >80.000000</td>\n",
+       "      <td id=\"T_4b89a_row3_col12\" class=\"data row3 col12\" >13</td>\n",
+       "      <td id=\"T_4b89a_row3_col13\" class=\"data row3 col13\" >8</td>\n",
+       "      <td id=\"T_4b89a_row3_col14\" class=\"data row3 col14\" >20</td>\n",
+       "      <td id=\"T_4b89a_row3_col15\" class=\"data row3 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+       "      <td id=\"T_4b89a_row4_col0\" class=\"data row4 col0\" >27</td>\n",
+       "      <td id=\"T_4b89a_row4_col1\" class=\"data row4 col1\" >f</td>\n",
+       "      <td id=\"T_4b89a_row4_col2\" class=\"data row4 col2\" >74</td>\n",
+       "      <td id=\"T_4b89a_row4_col3\" class=\"data row4 col3\" >60</td>\n",
+       "      <td id=\"T_4b89a_row4_col4\" class=\"data row4 col4\" >65</td>\n",
+       "      <td id=\"T_4b89a_row4_col5\" class=\"data row4 col5\" >62.500000</td>\n",
+       "      <td id=\"T_4b89a_row4_col6\" class=\"data row4 col6\" >68.500000</td>\n",
+       "      <td id=\"T_4b89a_row4_col7\" class=\"data row4 col7\" >49.000000</td>\n",
+       "      <td id=\"T_4b89a_row4_col8\" class=\"data row4 col8\" >61.000000</td>\n",
+       "      <td id=\"T_4b89a_row4_col9\" class=\"data row4 col9\" >49.000000</td>\n",
+       "      <td id=\"T_4b89a_row4_col10\" class=\"data row4 col10\" >65.000000</td>\n",
+       "      <td id=\"T_4b89a_row4_col11\" class=\"data row4 col11\" >49.000000</td>\n",
+       "      <td id=\"T_4b89a_row4_col12\" class=\"data row4 col12\" >13</td>\n",
+       "      <td id=\"T_4b89a_row4_col13\" class=\"data row4 col13\" >9</td>\n",
+       "      <td id=\"T_4b89a_row4_col14\" class=\"data row4 col14\" >12</td>\n",
+       "      <td id=\"T_4b89a_row4_col15\" class=\"data row4 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
+       "      <td id=\"T_4b89a_row5_col0\" class=\"data row5 col0\" >28</td>\n",
+       "      <td id=\"T_4b89a_row5_col1\" class=\"data row5 col1\" >f</td>\n",
+       "      <td id=\"T_4b89a_row5_col2\" class=\"data row5 col2\" >61</td>\n",
+       "      <td id=\"T_4b89a_row5_col3\" class=\"data row5 col3\" >80</td>\n",
+       "      <td id=\"T_4b89a_row5_col4\" class=\"data row5 col4\" >20</td>\n",
+       "      <td id=\"T_4b89a_row5_col5\" class=\"data row5 col5\" >50.000000</td>\n",
+       "      <td id=\"T_4b89a_row5_col6\" class=\"data row5 col6\" >71.000000</td>\n",
+       "      <td id=\"T_4b89a_row5_col7\" class=\"data row5 col7\" >63.000000</td>\n",
+       "      <td id=\"T_4b89a_row5_col8\" class=\"data row5 col8\" >31.000000</td>\n",
+       "      <td id=\"T_4b89a_row5_col9\" class=\"data row5 col9\" >72.500000</td>\n",
+       "      <td id=\"T_4b89a_row5_col10\" class=\"data row5 col10\" >64.500000</td>\n",
+       "      <td id=\"T_4b89a_row5_col11\" class=\"data row5 col11\" >70.500000</td>\n",
+       "      <td id=\"T_4b89a_row5_col12\" class=\"data row5 col12\" >15</td>\n",
+       "      <td id=\"T_4b89a_row5_col13\" class=\"data row5 col13\" >14</td>\n",
+       "      <td id=\"T_4b89a_row5_col14\" class=\"data row5 col14\" >2</td>\n",
+       "      <td id=\"T_4b89a_row5_col15\" class=\"data row5 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
+       "      <td id=\"T_4b89a_row6_col0\" class=\"data row6 col0\" >30</td>\n",
+       "      <td id=\"T_4b89a_row6_col1\" class=\"data row6 col1\" >m</td>\n",
+       "      <td id=\"T_4b89a_row6_col2\" class=\"data row6 col2\" >32</td>\n",
+       "      <td id=\"T_4b89a_row6_col3\" class=\"data row6 col3\" >90</td>\n",
+       "      <td id=\"T_4b89a_row6_col4\" class=\"data row6 col4\" >75</td>\n",
+       "      <td id=\"T_4b89a_row6_col5\" class=\"data row6 col5\" >82.500000</td>\n",
+       "      <td id=\"T_4b89a_row6_col6\" class=\"data row6 col6\" >67.000000</td>\n",
+       "      <td id=\"T_4b89a_row6_col7\" class=\"data row6 col7\" >56.500000</td>\n",
+       "      <td id=\"T_4b89a_row6_col8\" class=\"data row6 col8\" >66.000000</td>\n",
+       "      <td id=\"T_4b89a_row6_col9\" class=\"data row6 col9\" >65.000000</td>\n",
+       "      <td id=\"T_4b89a_row6_col10\" class=\"data row6 col10\" >66.000000</td>\n",
+       "      <td id=\"T_4b89a_row6_col11\" class=\"data row6 col11\" >64.000000</td>\n",
+       "      <td id=\"T_4b89a_row6_col12\" class=\"data row6 col12\" >16</td>\n",
+       "      <td id=\"T_4b89a_row6_col13\" class=\"data row6 col13\" >9</td>\n",
+       "      <td id=\"T_4b89a_row6_col14\" class=\"data row6 col14\" >3</td>\n",
+       "      <td id=\"T_4b89a_row6_col15\" class=\"data row6 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
+       "      <td id=\"T_4b89a_row7_col0\" class=\"data row7 col0\" >33</td>\n",
+       "      <td id=\"T_4b89a_row7_col1\" class=\"data row7 col1\" >m</td>\n",
+       "      <td id=\"T_4b89a_row7_col2\" class=\"data row7 col2\" >62</td>\n",
+       "      <td id=\"T_4b89a_row7_col3\" class=\"data row7 col3\" >45</td>\n",
+       "      <td id=\"T_4b89a_row7_col4\" class=\"data row7 col4\" >90</td>\n",
+       "      <td id=\"T_4b89a_row7_col5\" class=\"data row7 col5\" >67.500000</td>\n",
+       "      <td id=\"T_4b89a_row7_col6\" class=\"data row7 col6\" >54.000000</td>\n",
+       "      <td id=\"T_4b89a_row7_col7\" class=\"data row7 col7\" >37.000000</td>\n",
+       "      <td id=\"T_4b89a_row7_col8\" class=\"data row7 col8\" >65.000000</td>\n",
+       "      <td id=\"T_4b89a_row7_col9\" class=\"data row7 col9\" >81.500000</td>\n",
+       "      <td id=\"T_4b89a_row7_col10\" class=\"data row7 col10\" >62.000000</td>\n",
+       "      <td id=\"T_4b89a_row7_col11\" class=\"data row7 col11\" >61.000000</td>\n",
+       "      <td id=\"T_4b89a_row7_col12\" class=\"data row7 col12\" >14</td>\n",
+       "      <td id=\"T_4b89a_row7_col13\" class=\"data row7 col13\" >9</td>\n",
+       "      <td id=\"T_4b89a_row7_col14\" class=\"data row7 col14\" >9</td>\n",
+       "      <td id=\"T_4b89a_row7_col15\" class=\"data row7 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
+       "      <td id=\"T_4b89a_row8_col0\" class=\"data row8 col0\" >34</td>\n",
+       "      <td id=\"T_4b89a_row8_col1\" class=\"data row8 col1\" >f</td>\n",
+       "      <td id=\"T_4b89a_row8_col2\" class=\"data row8 col2\" >33</td>\n",
+       "      <td id=\"T_4b89a_row8_col3\" class=\"data row8 col3\" >80</td>\n",
+       "      <td id=\"T_4b89a_row8_col4\" class=\"data row8 col4\" >100</td>\n",
+       "      <td id=\"T_4b89a_row8_col5\" class=\"data row8 col5\" >90.000000</td>\n",
+       "      <td id=\"T_4b89a_row8_col6\" class=\"data row8 col6\" >70.500000</td>\n",
+       "      <td id=\"T_4b89a_row8_col7\" class=\"data row8 col7\" >76.500000</td>\n",
+       "      <td id=\"T_4b89a_row8_col8\" class=\"data row8 col8\" >64.500000</td>\n",
+       "      <td id=\"T_4b89a_row8_col9\" class=\"data row8 col9\" >nan</td>\n",
+       "      <td id=\"T_4b89a_row8_col10\" class=\"data row8 col10\" >68.000000</td>\n",
+       "      <td id=\"T_4b89a_row8_col11\" class=\"data row8 col11\" >76.500000</td>\n",
+       "      <td id=\"T_4b89a_row8_col12\" class=\"data row8 col12\" >14</td>\n",
+       "      <td id=\"T_4b89a_row8_col13\" class=\"data row8 col13\" >12</td>\n",
+       "      <td id=\"T_4b89a_row8_col14\" class=\"data row8 col14\" >10</td>\n",
+       "      <td id=\"T_4b89a_row8_col15\" class=\"data row8 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
+       "      <td id=\"T_4b89a_row9_col0\" class=\"data row9 col0\" >35</td>\n",
+       "      <td id=\"T_4b89a_row9_col1\" class=\"data row9 col1\" >f</td>\n",
+       "      <td id=\"T_4b89a_row9_col2\" class=\"data row9 col2\" >53</td>\n",
+       "      <td id=\"T_4b89a_row9_col3\" class=\"data row9 col3\" >100</td>\n",
+       "      <td id=\"T_4b89a_row9_col4\" class=\"data row9 col4\" >50</td>\n",
+       "      <td id=\"T_4b89a_row9_col5\" class=\"data row9 col5\" >75.000000</td>\n",
+       "      <td id=\"T_4b89a_row9_col6\" class=\"data row9 col6\" >74.500000</td>\n",
+       "      <td id=\"T_4b89a_row9_col7\" class=\"data row9 col7\" >nan</td>\n",
+       "      <td id=\"T_4b89a_row9_col8\" class=\"data row9 col8\" >60.500000</td>\n",
+       "      <td id=\"T_4b89a_row9_col9\" class=\"data row9 col9\" >65.000000</td>\n",
+       "      <td id=\"T_4b89a_row9_col10\" class=\"data row9 col10\" >71.000000</td>\n",
+       "      <td id=\"T_4b89a_row9_col11\" class=\"data row9 col11\" >65.000000</td>\n",
+       "      <td id=\"T_4b89a_row9_col12\" class=\"data row9 col12\" >14</td>\n",
+       "      <td id=\"T_4b89a_row9_col13\" class=\"data row9 col13\" >8</td>\n",
+       "      <td id=\"T_4b89a_row9_col14\" class=\"data row9 col14\" >7</td>\n",
+       "      <td id=\"T_4b89a_row9_col15\" class=\"data row9 col15\" >True</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x16a77c610>"
+       "<pandas.io.formats.style.Styler at 0x169764290>"
       ]
      },
      "execution_count": 25,
@@ -2913,261 +2913,261 @@
      "data": {
       "text/html": [
        "<style type=\"text/css\">\n",
-       "#T_1f587_row0_col5 {\n",
+       "#T_cc820_row0_col5 {\n",
        "  background-color: #f85f43;\n",
        "  color: #f1f1f1;\n",
        "}\n",
-       "#T_1f587_row1_col5, #T_1f587_row8_col5 {\n",
+       "#T_cc820_row1_col5, #T_cc820_row8_col5 {\n",
        "  background-color: #840711;\n",
        "  color: #f1f1f1;\n",
        "}\n",
-       "#T_1f587_row2_col5 {\n",
+       "#T_cc820_row2_col5 {\n",
        "  background-color: #67000d;\n",
        "  color: #f1f1f1;\n",
        "}\n",
-       "#T_1f587_row3_col5 {\n",
+       "#T_cc820_row3_col5 {\n",
        "  background-color: #a10e15;\n",
        "  color: #f1f1f1;\n",
        "}\n",
-       "#T_1f587_row4_col5 {\n",
+       "#T_cc820_row4_col5 {\n",
        "  background-color: #fcad90;\n",
        "  color: #000000;\n",
        "}\n",
-       "#T_1f587_row5_col5 {\n",
+       "#T_cc820_row5_col5 {\n",
        "  background-color: #fff5f0;\n",
        "  color: #000000;\n",
        "}\n",
-       "#T_1f587_row6_col5 {\n",
+       "#T_cc820_row6_col5 {\n",
        "  background-color: #c7171c;\n",
        "  color: #f1f1f1;\n",
        "}\n",
-       "#T_1f587_row7_col5 {\n",
+       "#T_cc820_row7_col5 {\n",
        "  background-color: #fc8666;\n",
        "  color: #f1f1f1;\n",
        "}\n",
-       "#T_1f587_row9_col5 {\n",
+       "#T_cc820_row9_col5 {\n",
        "  background-color: #f34935;\n",
        "  color: #f1f1f1;\n",
        "}\n",
        "</style>\n",
-       "<table id=\"T_1f587\">\n",
+       "<table id=\"T_cc820\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_1f587_level0_col0\" class=\"col_heading level0 col0\" >participant number</th>\n",
-       "      <th id=\"T_1f587_level0_col1\" class=\"col_heading level0 col1\" >gender</th>\n",
-       "      <th id=\"T_1f587_level0_col2\" class=\"col_heading level0 col2\" >age</th>\n",
-       "      <th id=\"T_1f587_level0_col3\" class=\"col_heading level0 col3\" >correct hit percentage</th>\n",
-       "      <th id=\"T_1f587_level0_col4\" class=\"col_heading level0 col4\" >correct reject percentage</th>\n",
-       "      <th id=\"T_1f587_level0_col5\" class=\"col_heading level0 col5\" >percent correct</th>\n",
-       "      <th id=\"T_1f587_level0_col6\" class=\"col_heading level0 col6\" >confidence when correct hit</th>\n",
-       "      <th id=\"T_1f587_level0_col7\" class=\"col_heading level0 col7\" >confidence when incorrect hit</th>\n",
-       "      <th id=\"T_1f587_level0_col8\" class=\"col_heading level0 col8\" >confidence when correct reject</th>\n",
-       "      <th id=\"T_1f587_level0_col9\" class=\"col_heading level0 col9\" >confidence when incorrect reject</th>\n",
-       "      <th id=\"T_1f587_level0_col10\" class=\"col_heading level0 col10\" >confidence when correct</th>\n",
-       "      <th id=\"T_1f587_level0_col11\" class=\"col_heading level0 col11\" >confidence when incorrect</th>\n",
-       "      <th id=\"T_1f587_level0_col12\" class=\"col_heading level0 col12\" >sci</th>\n",
-       "      <th id=\"T_1f587_level0_col13\" class=\"col_heading level0 col13\" >psqi</th>\n",
-       "      <th id=\"T_1f587_level0_col14\" class=\"col_heading level0 col14\" >ess</th>\n",
-       "      <th id=\"T_1f587_level0_col15\" class=\"col_heading level0 col15\" >insomnia</th>\n",
+       "      <th id=\"T_cc820_level0_col0\" class=\"col_heading level0 col0\" >participant number</th>\n",
+       "      <th id=\"T_cc820_level0_col1\" class=\"col_heading level0 col1\" >gender</th>\n",
+       "      <th id=\"T_cc820_level0_col2\" class=\"col_heading level0 col2\" >age</th>\n",
+       "      <th id=\"T_cc820_level0_col3\" class=\"col_heading level0 col3\" >correct hit percentage</th>\n",
+       "      <th id=\"T_cc820_level0_col4\" class=\"col_heading level0 col4\" >correct reject percentage</th>\n",
+       "      <th id=\"T_cc820_level0_col5\" class=\"col_heading level0 col5\" >percent correct</th>\n",
+       "      <th id=\"T_cc820_level0_col6\" class=\"col_heading level0 col6\" >confidence when correct hit</th>\n",
+       "      <th id=\"T_cc820_level0_col7\" class=\"col_heading level0 col7\" >confidence when incorrect hit</th>\n",
+       "      <th id=\"T_cc820_level0_col8\" class=\"col_heading level0 col8\" >confidence when correct reject</th>\n",
+       "      <th id=\"T_cc820_level0_col9\" class=\"col_heading level0 col9\" >confidence when incorrect reject</th>\n",
+       "      <th id=\"T_cc820_level0_col10\" class=\"col_heading level0 col10\" >confidence when correct</th>\n",
+       "      <th id=\"T_cc820_level0_col11\" class=\"col_heading level0 col11\" >confidence when incorrect</th>\n",
+       "      <th id=\"T_cc820_level0_col12\" class=\"col_heading level0 col12\" >sci</th>\n",
+       "      <th id=\"T_cc820_level0_col13\" class=\"col_heading level0 col13\" >psqi</th>\n",
+       "      <th id=\"T_cc820_level0_col14\" class=\"col_heading level0 col14\" >ess</th>\n",
+       "      <th id=\"T_cc820_level0_col15\" class=\"col_heading level0 col15\" >insomnia</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
-       "      <td id=\"T_1f587_row0_col0\" class=\"data row0 col0\" >8</td>\n",
-       "      <td id=\"T_1f587_row0_col1\" class=\"data row0 col1\" >f</td>\n",
-       "      <td id=\"T_1f587_row0_col2\" class=\"data row0 col2\" >39</td>\n",
-       "      <td id=\"T_1f587_row0_col3\" class=\"data row0 col3\" >65</td>\n",
-       "      <td id=\"T_1f587_row0_col4\" class=\"data row0 col4\" >80</td>\n",
-       "      <td id=\"T_1f587_row0_col5\" class=\"data row0 col5\" >72.500000</td>\n",
-       "      <td id=\"T_1f587_row0_col6\" class=\"data row0 col6\" >91.000000</td>\n",
-       "      <td id=\"T_1f587_row0_col7\" class=\"data row0 col7\" >90.000000</td>\n",
-       "      <td id=\"T_1f587_row0_col8\" class=\"data row0 col8\" >93.000000</td>\n",
-       "      <td id=\"T_1f587_row0_col9\" class=\"data row0 col9\" >83.500000</td>\n",
-       "      <td id=\"T_1f587_row0_col10\" class=\"data row0 col10\" >93.000000</td>\n",
-       "      <td id=\"T_1f587_row0_col11\" class=\"data row0 col11\" >90.000000</td>\n",
-       "      <td id=\"T_1f587_row0_col12\" class=\"data row0 col12\" >9</td>\n",
-       "      <td id=\"T_1f587_row0_col13\" class=\"data row0 col13\" >13</td>\n",
-       "      <td id=\"T_1f587_row0_col14\" class=\"data row0 col14\" >2</td>\n",
-       "      <td id=\"T_1f587_row0_col15\" class=\"data row0 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
-       "      <td id=\"T_1f587_row1_col0\" class=\"data row1 col0\" >16</td>\n",
-       "      <td id=\"T_1f587_row1_col1\" class=\"data row1 col1\" >m</td>\n",
-       "      <td id=\"T_1f587_row1_col2\" class=\"data row1 col2\" >42</td>\n",
-       "      <td id=\"T_1f587_row1_col3\" class=\"data row1 col3\" >90</td>\n",
-       "      <td id=\"T_1f587_row1_col4\" class=\"data row1 col4\" >90</td>\n",
-       "      <td id=\"T_1f587_row1_col5\" class=\"data row1 col5\" >90.000000</td>\n",
-       "      <td id=\"T_1f587_row1_col6\" class=\"data row1 col6\" >75.500000</td>\n",
-       "      <td id=\"T_1f587_row1_col7\" class=\"data row1 col7\" >55.500000</td>\n",
-       "      <td id=\"T_1f587_row1_col8\" class=\"data row1 col8\" >70.500000</td>\n",
-       "      <td id=\"T_1f587_row1_col9\" class=\"data row1 col9\" >50.000000</td>\n",
-       "      <td id=\"T_1f587_row1_col10\" class=\"data row1 col10\" >75.000000</td>\n",
-       "      <td id=\"T_1f587_row1_col11\" class=\"data row1 col11\" >50.000000</td>\n",
-       "      <td id=\"T_1f587_row1_col12\" class=\"data row1 col12\" >4</td>\n",
-       "      <td id=\"T_1f587_row1_col13\" class=\"data row1 col13\" >11</td>\n",
-       "      <td id=\"T_1f587_row1_col14\" class=\"data row1 col14\" >7</td>\n",
-       "      <td id=\"T_1f587_row1_col15\" class=\"data row1 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
-       "      <td id=\"T_1f587_row2_col0\" class=\"data row2 col0\" >18</td>\n",
-       "      <td id=\"T_1f587_row2_col1\" class=\"data row2 col1\" >f</td>\n",
-       "      <td id=\"T_1f587_row2_col2\" class=\"data row2 col2\" >31</td>\n",
-       "      <td id=\"T_1f587_row2_col3\" class=\"data row2 col3\" >90</td>\n",
-       "      <td id=\"T_1f587_row2_col4\" class=\"data row2 col4\" >95</td>\n",
-       "      <td id=\"T_1f587_row2_col5\" class=\"data row2 col5\" >92.500000</td>\n",
-       "      <td id=\"T_1f587_row2_col6\" class=\"data row2 col6\" >89.500000</td>\n",
-       "      <td id=\"T_1f587_row2_col7\" class=\"data row2 col7\" >90.000000</td>\n",
-       "      <td id=\"T_1f587_row2_col8\" class=\"data row2 col8\" >86.000000</td>\n",
-       "      <td id=\"T_1f587_row2_col9\" class=\"data row2 col9\" >81.000000</td>\n",
-       "      <td id=\"T_1f587_row2_col10\" class=\"data row2 col10\" >89.000000</td>\n",
-       "      <td id=\"T_1f587_row2_col11\" class=\"data row2 col11\" >88.000000</td>\n",
-       "      <td id=\"T_1f587_row2_col12\" class=\"data row2 col12\" >10</td>\n",
-       "      <td id=\"T_1f587_row2_col13\" class=\"data row2 col13\" >9</td>\n",
-       "      <td id=\"T_1f587_row2_col14\" class=\"data row2 col14\" >3</td>\n",
-       "      <td id=\"T_1f587_row2_col15\" class=\"data row2 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
-       "      <td id=\"T_1f587_row3_col0\" class=\"data row3 col0\" >22</td>\n",
-       "      <td id=\"T_1f587_row3_col1\" class=\"data row3 col1\" >f</td>\n",
-       "      <td id=\"T_1f587_row3_col2\" class=\"data row3 col2\" >35</td>\n",
-       "      <td id=\"T_1f587_row3_col3\" class=\"data row3 col3\" >100</td>\n",
-       "      <td id=\"T_1f587_row3_col4\" class=\"data row3 col4\" >75</td>\n",
-       "      <td id=\"T_1f587_row3_col5\" class=\"data row3 col5\" >87.500000</td>\n",
-       "      <td id=\"T_1f587_row3_col6\" class=\"data row3 col6\" >89.500000</td>\n",
-       "      <td id=\"T_1f587_row3_col7\" class=\"data row3 col7\" >nan</td>\n",
-       "      <td id=\"T_1f587_row3_col8\" class=\"data row3 col8\" >71.000000</td>\n",
-       "      <td id=\"T_1f587_row3_col9\" class=\"data row3 col9\" >80.000000</td>\n",
-       "      <td id=\"T_1f587_row3_col10\" class=\"data row3 col10\" >88.000000</td>\n",
-       "      <td id=\"T_1f587_row3_col11\" class=\"data row3 col11\" >80.000000</td>\n",
-       "      <td id=\"T_1f587_row3_col12\" class=\"data row3 col12\" >13</td>\n",
-       "      <td id=\"T_1f587_row3_col13\" class=\"data row3 col13\" >8</td>\n",
-       "      <td id=\"T_1f587_row3_col14\" class=\"data row3 col14\" >20</td>\n",
-       "      <td id=\"T_1f587_row3_col15\" class=\"data row3 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
-       "      <td id=\"T_1f587_row4_col0\" class=\"data row4 col0\" >27</td>\n",
-       "      <td id=\"T_1f587_row4_col1\" class=\"data row4 col1\" >f</td>\n",
-       "      <td id=\"T_1f587_row4_col2\" class=\"data row4 col2\" >74</td>\n",
-       "      <td id=\"T_1f587_row4_col3\" class=\"data row4 col3\" >60</td>\n",
-       "      <td id=\"T_1f587_row4_col4\" class=\"data row4 col4\" >65</td>\n",
-       "      <td id=\"T_1f587_row4_col5\" class=\"data row4 col5\" >62.500000</td>\n",
-       "      <td id=\"T_1f587_row4_col6\" class=\"data row4 col6\" >68.500000</td>\n",
-       "      <td id=\"T_1f587_row4_col7\" class=\"data row4 col7\" >49.000000</td>\n",
-       "      <td id=\"T_1f587_row4_col8\" class=\"data row4 col8\" >61.000000</td>\n",
-       "      <td id=\"T_1f587_row4_col9\" class=\"data row4 col9\" >49.000000</td>\n",
-       "      <td id=\"T_1f587_row4_col10\" class=\"data row4 col10\" >65.000000</td>\n",
-       "      <td id=\"T_1f587_row4_col11\" class=\"data row4 col11\" >49.000000</td>\n",
-       "      <td id=\"T_1f587_row4_col12\" class=\"data row4 col12\" >13</td>\n",
-       "      <td id=\"T_1f587_row4_col13\" class=\"data row4 col13\" >9</td>\n",
-       "      <td id=\"T_1f587_row4_col14\" class=\"data row4 col14\" >12</td>\n",
-       "      <td id=\"T_1f587_row4_col15\" class=\"data row4 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
-       "      <td id=\"T_1f587_row5_col0\" class=\"data row5 col0\" >28</td>\n",
-       "      <td id=\"T_1f587_row5_col1\" class=\"data row5 col1\" >f</td>\n",
-       "      <td id=\"T_1f587_row5_col2\" class=\"data row5 col2\" >61</td>\n",
-       "      <td id=\"T_1f587_row5_col3\" class=\"data row5 col3\" >80</td>\n",
-       "      <td id=\"T_1f587_row5_col4\" class=\"data row5 col4\" >20</td>\n",
-       "      <td id=\"T_1f587_row5_col5\" class=\"data row5 col5\" >50.000000</td>\n",
-       "      <td id=\"T_1f587_row5_col6\" class=\"data row5 col6\" >71.000000</td>\n",
-       "      <td id=\"T_1f587_row5_col7\" class=\"data row5 col7\" >63.000000</td>\n",
-       "      <td id=\"T_1f587_row5_col8\" class=\"data row5 col8\" >31.000000</td>\n",
-       "      <td id=\"T_1f587_row5_col9\" class=\"data row5 col9\" >72.500000</td>\n",
-       "      <td id=\"T_1f587_row5_col10\" class=\"data row5 col10\" >64.500000</td>\n",
-       "      <td id=\"T_1f587_row5_col11\" class=\"data row5 col11\" >70.500000</td>\n",
-       "      <td id=\"T_1f587_row5_col12\" class=\"data row5 col12\" >15</td>\n",
-       "      <td id=\"T_1f587_row5_col13\" class=\"data row5 col13\" >14</td>\n",
-       "      <td id=\"T_1f587_row5_col14\" class=\"data row5 col14\" >2</td>\n",
-       "      <td id=\"T_1f587_row5_col15\" class=\"data row5 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
-       "      <td id=\"T_1f587_row6_col0\" class=\"data row6 col0\" >30</td>\n",
-       "      <td id=\"T_1f587_row6_col1\" class=\"data row6 col1\" >m</td>\n",
-       "      <td id=\"T_1f587_row6_col2\" class=\"data row6 col2\" >32</td>\n",
-       "      <td id=\"T_1f587_row6_col3\" class=\"data row6 col3\" >90</td>\n",
-       "      <td id=\"T_1f587_row6_col4\" class=\"data row6 col4\" >75</td>\n",
-       "      <td id=\"T_1f587_row6_col5\" class=\"data row6 col5\" >82.500000</td>\n",
-       "      <td id=\"T_1f587_row6_col6\" class=\"data row6 col6\" >67.000000</td>\n",
-       "      <td id=\"T_1f587_row6_col7\" class=\"data row6 col7\" >56.500000</td>\n",
-       "      <td id=\"T_1f587_row6_col8\" class=\"data row6 col8\" >66.000000</td>\n",
-       "      <td id=\"T_1f587_row6_col9\" class=\"data row6 col9\" >65.000000</td>\n",
-       "      <td id=\"T_1f587_row6_col10\" class=\"data row6 col10\" >66.000000</td>\n",
-       "      <td id=\"T_1f587_row6_col11\" class=\"data row6 col11\" >64.000000</td>\n",
-       "      <td id=\"T_1f587_row6_col12\" class=\"data row6 col12\" >16</td>\n",
-       "      <td id=\"T_1f587_row6_col13\" class=\"data row6 col13\" >9</td>\n",
-       "      <td id=\"T_1f587_row6_col14\" class=\"data row6 col14\" >3</td>\n",
-       "      <td id=\"T_1f587_row6_col15\" class=\"data row6 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
-       "      <td id=\"T_1f587_row7_col0\" class=\"data row7 col0\" >33</td>\n",
-       "      <td id=\"T_1f587_row7_col1\" class=\"data row7 col1\" >m</td>\n",
-       "      <td id=\"T_1f587_row7_col2\" class=\"data row7 col2\" >62</td>\n",
-       "      <td id=\"T_1f587_row7_col3\" class=\"data row7 col3\" >45</td>\n",
-       "      <td id=\"T_1f587_row7_col4\" class=\"data row7 col4\" >90</td>\n",
-       "      <td id=\"T_1f587_row7_col5\" class=\"data row7 col5\" >67.500000</td>\n",
-       "      <td id=\"T_1f587_row7_col6\" class=\"data row7 col6\" >54.000000</td>\n",
-       "      <td id=\"T_1f587_row7_col7\" class=\"data row7 col7\" >37.000000</td>\n",
-       "      <td id=\"T_1f587_row7_col8\" class=\"data row7 col8\" >65.000000</td>\n",
-       "      <td id=\"T_1f587_row7_col9\" class=\"data row7 col9\" >81.500000</td>\n",
-       "      <td id=\"T_1f587_row7_col10\" class=\"data row7 col10\" >62.000000</td>\n",
-       "      <td id=\"T_1f587_row7_col11\" class=\"data row7 col11\" >61.000000</td>\n",
-       "      <td id=\"T_1f587_row7_col12\" class=\"data row7 col12\" >14</td>\n",
-       "      <td id=\"T_1f587_row7_col13\" class=\"data row7 col13\" >9</td>\n",
-       "      <td id=\"T_1f587_row7_col14\" class=\"data row7 col14\" >9</td>\n",
-       "      <td id=\"T_1f587_row7_col15\" class=\"data row7 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
-       "      <td id=\"T_1f587_row8_col0\" class=\"data row8 col0\" >34</td>\n",
-       "      <td id=\"T_1f587_row8_col1\" class=\"data row8 col1\" >f</td>\n",
-       "      <td id=\"T_1f587_row8_col2\" class=\"data row8 col2\" >33</td>\n",
-       "      <td id=\"T_1f587_row8_col3\" class=\"data row8 col3\" >80</td>\n",
-       "      <td id=\"T_1f587_row8_col4\" class=\"data row8 col4\" >100</td>\n",
-       "      <td id=\"T_1f587_row8_col5\" class=\"data row8 col5\" >90.000000</td>\n",
-       "      <td id=\"T_1f587_row8_col6\" class=\"data row8 col6\" >70.500000</td>\n",
-       "      <td id=\"T_1f587_row8_col7\" class=\"data row8 col7\" >76.500000</td>\n",
-       "      <td id=\"T_1f587_row8_col8\" class=\"data row8 col8\" >64.500000</td>\n",
-       "      <td id=\"T_1f587_row8_col9\" class=\"data row8 col9\" >nan</td>\n",
-       "      <td id=\"T_1f587_row8_col10\" class=\"data row8 col10\" >68.000000</td>\n",
-       "      <td id=\"T_1f587_row8_col11\" class=\"data row8 col11\" >76.500000</td>\n",
-       "      <td id=\"T_1f587_row8_col12\" class=\"data row8 col12\" >14</td>\n",
-       "      <td id=\"T_1f587_row8_col13\" class=\"data row8 col13\" >12</td>\n",
-       "      <td id=\"T_1f587_row8_col14\" class=\"data row8 col14\" >10</td>\n",
-       "      <td id=\"T_1f587_row8_col15\" class=\"data row8 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
-       "      <td id=\"T_1f587_row9_col0\" class=\"data row9 col0\" >35</td>\n",
-       "      <td id=\"T_1f587_row9_col1\" class=\"data row9 col1\" >f</td>\n",
-       "      <td id=\"T_1f587_row9_col2\" class=\"data row9 col2\" >53</td>\n",
-       "      <td id=\"T_1f587_row9_col3\" class=\"data row9 col3\" >100</td>\n",
-       "      <td id=\"T_1f587_row9_col4\" class=\"data row9 col4\" >50</td>\n",
-       "      <td id=\"T_1f587_row9_col5\" class=\"data row9 col5\" >75.000000</td>\n",
-       "      <td id=\"T_1f587_row9_col6\" class=\"data row9 col6\" >74.500000</td>\n",
-       "      <td id=\"T_1f587_row9_col7\" class=\"data row9 col7\" >nan</td>\n",
-       "      <td id=\"T_1f587_row9_col8\" class=\"data row9 col8\" >60.500000</td>\n",
-       "      <td id=\"T_1f587_row9_col9\" class=\"data row9 col9\" >65.000000</td>\n",
-       "      <td id=\"T_1f587_row9_col10\" class=\"data row9 col10\" >71.000000</td>\n",
-       "      <td id=\"T_1f587_row9_col11\" class=\"data row9 col11\" >65.000000</td>\n",
-       "      <td id=\"T_1f587_row9_col12\" class=\"data row9 col12\" >14</td>\n",
-       "      <td id=\"T_1f587_row9_col13\" class=\"data row9 col13\" >8</td>\n",
-       "      <td id=\"T_1f587_row9_col14\" class=\"data row9 col14\" >7</td>\n",
-       "      <td id=\"T_1f587_row9_col15\" class=\"data row9 col15\" >True</td>\n",
+       "      <th id=\"T_cc820_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+       "      <td id=\"T_cc820_row0_col0\" class=\"data row0 col0\" >8</td>\n",
+       "      <td id=\"T_cc820_row0_col1\" class=\"data row0 col1\" >f</td>\n",
+       "      <td id=\"T_cc820_row0_col2\" class=\"data row0 col2\" >39</td>\n",
+       "      <td id=\"T_cc820_row0_col3\" class=\"data row0 col3\" >65</td>\n",
+       "      <td id=\"T_cc820_row0_col4\" class=\"data row0 col4\" >80</td>\n",
+       "      <td id=\"T_cc820_row0_col5\" class=\"data row0 col5\" >72.500000</td>\n",
+       "      <td id=\"T_cc820_row0_col6\" class=\"data row0 col6\" >91.000000</td>\n",
+       "      <td id=\"T_cc820_row0_col7\" class=\"data row0 col7\" >90.000000</td>\n",
+       "      <td id=\"T_cc820_row0_col8\" class=\"data row0 col8\" >93.000000</td>\n",
+       "      <td id=\"T_cc820_row0_col9\" class=\"data row0 col9\" >83.500000</td>\n",
+       "      <td id=\"T_cc820_row0_col10\" class=\"data row0 col10\" >93.000000</td>\n",
+       "      <td id=\"T_cc820_row0_col11\" class=\"data row0 col11\" >90.000000</td>\n",
+       "      <td id=\"T_cc820_row0_col12\" class=\"data row0 col12\" >9</td>\n",
+       "      <td id=\"T_cc820_row0_col13\" class=\"data row0 col13\" >13</td>\n",
+       "      <td id=\"T_cc820_row0_col14\" class=\"data row0 col14\" >2</td>\n",
+       "      <td id=\"T_cc820_row0_col15\" class=\"data row0 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+       "      <td id=\"T_cc820_row1_col0\" class=\"data row1 col0\" >16</td>\n",
+       "      <td id=\"T_cc820_row1_col1\" class=\"data row1 col1\" >m</td>\n",
+       "      <td id=\"T_cc820_row1_col2\" class=\"data row1 col2\" >42</td>\n",
+       "      <td id=\"T_cc820_row1_col3\" class=\"data row1 col3\" >90</td>\n",
+       "      <td id=\"T_cc820_row1_col4\" class=\"data row1 col4\" >90</td>\n",
+       "      <td id=\"T_cc820_row1_col5\" class=\"data row1 col5\" >90.000000</td>\n",
+       "      <td id=\"T_cc820_row1_col6\" class=\"data row1 col6\" >75.500000</td>\n",
+       "      <td id=\"T_cc820_row1_col7\" class=\"data row1 col7\" >55.500000</td>\n",
+       "      <td id=\"T_cc820_row1_col8\" class=\"data row1 col8\" >70.500000</td>\n",
+       "      <td id=\"T_cc820_row1_col9\" class=\"data row1 col9\" >50.000000</td>\n",
+       "      <td id=\"T_cc820_row1_col10\" class=\"data row1 col10\" >75.000000</td>\n",
+       "      <td id=\"T_cc820_row1_col11\" class=\"data row1 col11\" >50.000000</td>\n",
+       "      <td id=\"T_cc820_row1_col12\" class=\"data row1 col12\" >4</td>\n",
+       "      <td id=\"T_cc820_row1_col13\" class=\"data row1 col13\" >11</td>\n",
+       "      <td id=\"T_cc820_row1_col14\" class=\"data row1 col14\" >7</td>\n",
+       "      <td id=\"T_cc820_row1_col15\" class=\"data row1 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+       "      <td id=\"T_cc820_row2_col0\" class=\"data row2 col0\" >18</td>\n",
+       "      <td id=\"T_cc820_row2_col1\" class=\"data row2 col1\" >f</td>\n",
+       "      <td id=\"T_cc820_row2_col2\" class=\"data row2 col2\" >31</td>\n",
+       "      <td id=\"T_cc820_row2_col3\" class=\"data row2 col3\" >90</td>\n",
+       "      <td id=\"T_cc820_row2_col4\" class=\"data row2 col4\" >95</td>\n",
+       "      <td id=\"T_cc820_row2_col5\" class=\"data row2 col5\" >92.500000</td>\n",
+       "      <td id=\"T_cc820_row2_col6\" class=\"data row2 col6\" >89.500000</td>\n",
+       "      <td id=\"T_cc820_row2_col7\" class=\"data row2 col7\" >90.000000</td>\n",
+       "      <td id=\"T_cc820_row2_col8\" class=\"data row2 col8\" >86.000000</td>\n",
+       "      <td id=\"T_cc820_row2_col9\" class=\"data row2 col9\" >81.000000</td>\n",
+       "      <td id=\"T_cc820_row2_col10\" class=\"data row2 col10\" >89.000000</td>\n",
+       "      <td id=\"T_cc820_row2_col11\" class=\"data row2 col11\" >88.000000</td>\n",
+       "      <td id=\"T_cc820_row2_col12\" class=\"data row2 col12\" >10</td>\n",
+       "      <td id=\"T_cc820_row2_col13\" class=\"data row2 col13\" >9</td>\n",
+       "      <td id=\"T_cc820_row2_col14\" class=\"data row2 col14\" >3</td>\n",
+       "      <td id=\"T_cc820_row2_col15\" class=\"data row2 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+       "      <td id=\"T_cc820_row3_col0\" class=\"data row3 col0\" >22</td>\n",
+       "      <td id=\"T_cc820_row3_col1\" class=\"data row3 col1\" >f</td>\n",
+       "      <td id=\"T_cc820_row3_col2\" class=\"data row3 col2\" >35</td>\n",
+       "      <td id=\"T_cc820_row3_col3\" class=\"data row3 col3\" >100</td>\n",
+       "      <td id=\"T_cc820_row3_col4\" class=\"data row3 col4\" >75</td>\n",
+       "      <td id=\"T_cc820_row3_col5\" class=\"data row3 col5\" >87.500000</td>\n",
+       "      <td id=\"T_cc820_row3_col6\" class=\"data row3 col6\" >89.500000</td>\n",
+       "      <td id=\"T_cc820_row3_col7\" class=\"data row3 col7\" >nan</td>\n",
+       "      <td id=\"T_cc820_row3_col8\" class=\"data row3 col8\" >71.000000</td>\n",
+       "      <td id=\"T_cc820_row3_col9\" class=\"data row3 col9\" >80.000000</td>\n",
+       "      <td id=\"T_cc820_row3_col10\" class=\"data row3 col10\" >88.000000</td>\n",
+       "      <td id=\"T_cc820_row3_col11\" class=\"data row3 col11\" >80.000000</td>\n",
+       "      <td id=\"T_cc820_row3_col12\" class=\"data row3 col12\" >13</td>\n",
+       "      <td id=\"T_cc820_row3_col13\" class=\"data row3 col13\" >8</td>\n",
+       "      <td id=\"T_cc820_row3_col14\" class=\"data row3 col14\" >20</td>\n",
+       "      <td id=\"T_cc820_row3_col15\" class=\"data row3 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+       "      <td id=\"T_cc820_row4_col0\" class=\"data row4 col0\" >27</td>\n",
+       "      <td id=\"T_cc820_row4_col1\" class=\"data row4 col1\" >f</td>\n",
+       "      <td id=\"T_cc820_row4_col2\" class=\"data row4 col2\" >74</td>\n",
+       "      <td id=\"T_cc820_row4_col3\" class=\"data row4 col3\" >60</td>\n",
+       "      <td id=\"T_cc820_row4_col4\" class=\"data row4 col4\" >65</td>\n",
+       "      <td id=\"T_cc820_row4_col5\" class=\"data row4 col5\" >62.500000</td>\n",
+       "      <td id=\"T_cc820_row4_col6\" class=\"data row4 col6\" >68.500000</td>\n",
+       "      <td id=\"T_cc820_row4_col7\" class=\"data row4 col7\" >49.000000</td>\n",
+       "      <td id=\"T_cc820_row4_col8\" class=\"data row4 col8\" >61.000000</td>\n",
+       "      <td id=\"T_cc820_row4_col9\" class=\"data row4 col9\" >49.000000</td>\n",
+       "      <td id=\"T_cc820_row4_col10\" class=\"data row4 col10\" >65.000000</td>\n",
+       "      <td id=\"T_cc820_row4_col11\" class=\"data row4 col11\" >49.000000</td>\n",
+       "      <td id=\"T_cc820_row4_col12\" class=\"data row4 col12\" >13</td>\n",
+       "      <td id=\"T_cc820_row4_col13\" class=\"data row4 col13\" >9</td>\n",
+       "      <td id=\"T_cc820_row4_col14\" class=\"data row4 col14\" >12</td>\n",
+       "      <td id=\"T_cc820_row4_col15\" class=\"data row4 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
+       "      <td id=\"T_cc820_row5_col0\" class=\"data row5 col0\" >28</td>\n",
+       "      <td id=\"T_cc820_row5_col1\" class=\"data row5 col1\" >f</td>\n",
+       "      <td id=\"T_cc820_row5_col2\" class=\"data row5 col2\" >61</td>\n",
+       "      <td id=\"T_cc820_row5_col3\" class=\"data row5 col3\" >80</td>\n",
+       "      <td id=\"T_cc820_row5_col4\" class=\"data row5 col4\" >20</td>\n",
+       "      <td id=\"T_cc820_row5_col5\" class=\"data row5 col5\" >50.000000</td>\n",
+       "      <td id=\"T_cc820_row5_col6\" class=\"data row5 col6\" >71.000000</td>\n",
+       "      <td id=\"T_cc820_row5_col7\" class=\"data row5 col7\" >63.000000</td>\n",
+       "      <td id=\"T_cc820_row5_col8\" class=\"data row5 col8\" >31.000000</td>\n",
+       "      <td id=\"T_cc820_row5_col9\" class=\"data row5 col9\" >72.500000</td>\n",
+       "      <td id=\"T_cc820_row5_col10\" class=\"data row5 col10\" >64.500000</td>\n",
+       "      <td id=\"T_cc820_row5_col11\" class=\"data row5 col11\" >70.500000</td>\n",
+       "      <td id=\"T_cc820_row5_col12\" class=\"data row5 col12\" >15</td>\n",
+       "      <td id=\"T_cc820_row5_col13\" class=\"data row5 col13\" >14</td>\n",
+       "      <td id=\"T_cc820_row5_col14\" class=\"data row5 col14\" >2</td>\n",
+       "      <td id=\"T_cc820_row5_col15\" class=\"data row5 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
+       "      <td id=\"T_cc820_row6_col0\" class=\"data row6 col0\" >30</td>\n",
+       "      <td id=\"T_cc820_row6_col1\" class=\"data row6 col1\" >m</td>\n",
+       "      <td id=\"T_cc820_row6_col2\" class=\"data row6 col2\" >32</td>\n",
+       "      <td id=\"T_cc820_row6_col3\" class=\"data row6 col3\" >90</td>\n",
+       "      <td id=\"T_cc820_row6_col4\" class=\"data row6 col4\" >75</td>\n",
+       "      <td id=\"T_cc820_row6_col5\" class=\"data row6 col5\" >82.500000</td>\n",
+       "      <td id=\"T_cc820_row6_col6\" class=\"data row6 col6\" >67.000000</td>\n",
+       "      <td id=\"T_cc820_row6_col7\" class=\"data row6 col7\" >56.500000</td>\n",
+       "      <td id=\"T_cc820_row6_col8\" class=\"data row6 col8\" >66.000000</td>\n",
+       "      <td id=\"T_cc820_row6_col9\" class=\"data row6 col9\" >65.000000</td>\n",
+       "      <td id=\"T_cc820_row6_col10\" class=\"data row6 col10\" >66.000000</td>\n",
+       "      <td id=\"T_cc820_row6_col11\" class=\"data row6 col11\" >64.000000</td>\n",
+       "      <td id=\"T_cc820_row6_col12\" class=\"data row6 col12\" >16</td>\n",
+       "      <td id=\"T_cc820_row6_col13\" class=\"data row6 col13\" >9</td>\n",
+       "      <td id=\"T_cc820_row6_col14\" class=\"data row6 col14\" >3</td>\n",
+       "      <td id=\"T_cc820_row6_col15\" class=\"data row6 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
+       "      <td id=\"T_cc820_row7_col0\" class=\"data row7 col0\" >33</td>\n",
+       "      <td id=\"T_cc820_row7_col1\" class=\"data row7 col1\" >m</td>\n",
+       "      <td id=\"T_cc820_row7_col2\" class=\"data row7 col2\" >62</td>\n",
+       "      <td id=\"T_cc820_row7_col3\" class=\"data row7 col3\" >45</td>\n",
+       "      <td id=\"T_cc820_row7_col4\" class=\"data row7 col4\" >90</td>\n",
+       "      <td id=\"T_cc820_row7_col5\" class=\"data row7 col5\" >67.500000</td>\n",
+       "      <td id=\"T_cc820_row7_col6\" class=\"data row7 col6\" >54.000000</td>\n",
+       "      <td id=\"T_cc820_row7_col7\" class=\"data row7 col7\" >37.000000</td>\n",
+       "      <td id=\"T_cc820_row7_col8\" class=\"data row7 col8\" >65.000000</td>\n",
+       "      <td id=\"T_cc820_row7_col9\" class=\"data row7 col9\" >81.500000</td>\n",
+       "      <td id=\"T_cc820_row7_col10\" class=\"data row7 col10\" >62.000000</td>\n",
+       "      <td id=\"T_cc820_row7_col11\" class=\"data row7 col11\" >61.000000</td>\n",
+       "      <td id=\"T_cc820_row7_col12\" class=\"data row7 col12\" >14</td>\n",
+       "      <td id=\"T_cc820_row7_col13\" class=\"data row7 col13\" >9</td>\n",
+       "      <td id=\"T_cc820_row7_col14\" class=\"data row7 col14\" >9</td>\n",
+       "      <td id=\"T_cc820_row7_col15\" class=\"data row7 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
+       "      <td id=\"T_cc820_row8_col0\" class=\"data row8 col0\" >34</td>\n",
+       "      <td id=\"T_cc820_row8_col1\" class=\"data row8 col1\" >f</td>\n",
+       "      <td id=\"T_cc820_row8_col2\" class=\"data row8 col2\" >33</td>\n",
+       "      <td id=\"T_cc820_row8_col3\" class=\"data row8 col3\" >80</td>\n",
+       "      <td id=\"T_cc820_row8_col4\" class=\"data row8 col4\" >100</td>\n",
+       "      <td id=\"T_cc820_row8_col5\" class=\"data row8 col5\" >90.000000</td>\n",
+       "      <td id=\"T_cc820_row8_col6\" class=\"data row8 col6\" >70.500000</td>\n",
+       "      <td id=\"T_cc820_row8_col7\" class=\"data row8 col7\" >76.500000</td>\n",
+       "      <td id=\"T_cc820_row8_col8\" class=\"data row8 col8\" >64.500000</td>\n",
+       "      <td id=\"T_cc820_row8_col9\" class=\"data row8 col9\" >nan</td>\n",
+       "      <td id=\"T_cc820_row8_col10\" class=\"data row8 col10\" >68.000000</td>\n",
+       "      <td id=\"T_cc820_row8_col11\" class=\"data row8 col11\" >76.500000</td>\n",
+       "      <td id=\"T_cc820_row8_col12\" class=\"data row8 col12\" >14</td>\n",
+       "      <td id=\"T_cc820_row8_col13\" class=\"data row8 col13\" >12</td>\n",
+       "      <td id=\"T_cc820_row8_col14\" class=\"data row8 col14\" >10</td>\n",
+       "      <td id=\"T_cc820_row8_col15\" class=\"data row8 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
+       "      <td id=\"T_cc820_row9_col0\" class=\"data row9 col0\" >35</td>\n",
+       "      <td id=\"T_cc820_row9_col1\" class=\"data row9 col1\" >f</td>\n",
+       "      <td id=\"T_cc820_row9_col2\" class=\"data row9 col2\" >53</td>\n",
+       "      <td id=\"T_cc820_row9_col3\" class=\"data row9 col3\" >100</td>\n",
+       "      <td id=\"T_cc820_row9_col4\" class=\"data row9 col4\" >50</td>\n",
+       "      <td id=\"T_cc820_row9_col5\" class=\"data row9 col5\" >75.000000</td>\n",
+       "      <td id=\"T_cc820_row9_col6\" class=\"data row9 col6\" >74.500000</td>\n",
+       "      <td id=\"T_cc820_row9_col7\" class=\"data row9 col7\" >nan</td>\n",
+       "      <td id=\"T_cc820_row9_col8\" class=\"data row9 col8\" >60.500000</td>\n",
+       "      <td id=\"T_cc820_row9_col9\" class=\"data row9 col9\" >65.000000</td>\n",
+       "      <td id=\"T_cc820_row9_col10\" class=\"data row9 col10\" >71.000000</td>\n",
+       "      <td id=\"T_cc820_row9_col11\" class=\"data row9 col11\" >65.000000</td>\n",
+       "      <td id=\"T_cc820_row9_col12\" class=\"data row9 col12\" >14</td>\n",
+       "      <td id=\"T_cc820_row9_col13\" class=\"data row9 col13\" >8</td>\n",
+       "      <td id=\"T_cc820_row9_col14\" class=\"data row9 col14\" >7</td>\n",
+       "      <td id=\"T_cc820_row9_col15\" class=\"data row9 col15\" >True</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x173c359d0>"
+       "<pandas.io.formats.style.Styler at 0x169d3bb50>"
       ]
      },
      "execution_count": 26,
@@ -3195,281 +3195,281 @@
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        "  background-color: lightgray;\n",
        "}\n",
-       "#T_4fd43_row2_col0, #T_4fd43_row2_col1, #T_4fd43_row2_col2, #T_4fd43_row2_col3, #T_4fd43_row2_col4, #T_4fd43_row2_col6, #T_4fd43_row2_col7, #T_4fd43_row2_col8, #T_4fd43_row2_col9, #T_4fd43_row2_col10, #T_4fd43_row2_col11, #T_4fd43_row2_col12, #T_4fd43_row2_col13, #T_4fd43_row2_col14, #T_4fd43_row2_col15, #T_4fd43_row3_col0, #T_4fd43_row3_col1, #T_4fd43_row3_col2, #T_4fd43_row3_col3, #T_4fd43_row3_col4, #T_4fd43_row3_col6, #T_4fd43_row3_col7, #T_4fd43_row3_col8, #T_4fd43_row3_col9, #T_4fd43_row3_col10, #T_4fd43_row3_col11, #T_4fd43_row3_col12, #T_4fd43_row3_col13, #T_4fd43_row3_col14, #T_4fd43_row3_col15, #T_4fd43_row8_col0, #T_4fd43_row8_col1, #T_4fd43_row8_col2, #T_4fd43_row8_col3, #T_4fd43_row8_col4, #T_4fd43_row8_col6, #T_4fd43_row8_col7, #T_4fd43_row8_col8, #T_4fd43_row8_col9, #T_4fd43_row8_col10, #T_4fd43_row8_col11, #T_4fd43_row8_col12, #T_4fd43_row8_col13, #T_4fd43_row8_col14, #T_4fd43_row8_col15, #T_4fd43_row9_col0, #T_4fd43_row9_col1, #T_4fd43_row9_col2, #T_4fd43_row9_col3, #T_4fd43_row9_col4, #T_4fd43_row9_col6, #T_4fd43_row9_col7, #T_4fd43_row9_col8, #T_4fd43_row9_col9, #T_4fd43_row9_col10, #T_4fd43_row9_col11, #T_4fd43_row9_col12, #T_4fd43_row9_col13, #T_4fd43_row9_col14, #T_4fd43_row9_col15 {\n",
+       "#T_05696_row2_col0, #T_05696_row2_col1, #T_05696_row2_col2, #T_05696_row2_col3, #T_05696_row2_col4, #T_05696_row2_col6, #T_05696_row2_col7, #T_05696_row2_col8, #T_05696_row2_col9, #T_05696_row2_col10, #T_05696_row2_col11, #T_05696_row2_col12, #T_05696_row2_col13, #T_05696_row2_col14, #T_05696_row2_col15, #T_05696_row3_col0, #T_05696_row3_col1, #T_05696_row3_col2, #T_05696_row3_col3, #T_05696_row3_col4, #T_05696_row3_col6, #T_05696_row3_col7, #T_05696_row3_col8, #T_05696_row3_col9, #T_05696_row3_col10, #T_05696_row3_col11, #T_05696_row3_col12, #T_05696_row3_col13, #T_05696_row3_col14, #T_05696_row3_col15, #T_05696_row8_col0, #T_05696_row8_col1, #T_05696_row8_col2, #T_05696_row8_col3, #T_05696_row8_col4, #T_05696_row8_col6, #T_05696_row8_col7, #T_05696_row8_col8, #T_05696_row8_col9, #T_05696_row8_col10, #T_05696_row8_col11, #T_05696_row8_col12, #T_05696_row8_col13, #T_05696_row8_col14, #T_05696_row8_col15, #T_05696_row9_col0, #T_05696_row9_col1, #T_05696_row9_col2, #T_05696_row9_col3, #T_05696_row9_col4, #T_05696_row9_col6, #T_05696_row9_col7, #T_05696_row9_col8, #T_05696_row9_col9, #T_05696_row9_col10, #T_05696_row9_col11, #T_05696_row9_col12, #T_05696_row9_col13, #T_05696_row9_col14, #T_05696_row9_col15 {\n",
        "  background-color: #7fc97f;\n",
        "}\n",
-       "#T_4fd43_row2_col5 {\n",
+       "#T_05696_row2_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 92.5%, transparent 92.5%);\n",
        "  background-color: #7fc97f;\n",
        "}\n",
-       "#T_4fd43_row3_col5 {\n",
+       "#T_05696_row3_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 87.5%, transparent 87.5%);\n",
        "  background-color: #7fc97f;\n",
        "}\n",
-       "#T_4fd43_row4_col5 {\n",
+       "#T_05696_row4_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 62.5%, transparent 62.5%);\n",
        "  background-color: lightgray;\n",
        "}\n",
-       "#T_4fd43_row5_col5 {\n",
+       "#T_05696_row5_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 50.0%, transparent 50.0%);\n",
        "  background-color: lightgray;\n",
        "}\n",
-       "#T_4fd43_row6_col5 {\n",
+       "#T_05696_row6_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 82.5%, transparent 82.5%);\n",
        "  background-color: lightgray;\n",
        "}\n",
-       "#T_4fd43_row7_col5 {\n",
+       "#T_05696_row7_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 67.5%, transparent 67.5%);\n",
        "  background-color: lightgray;\n",
        "}\n",
-       "#T_4fd43_row8_col5 {\n",
+       "#T_05696_row8_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 90.0%, transparent 90.0%);\n",
        "  background-color: #7fc97f;\n",
        "}\n",
-       "#T_4fd43_row9_col5 {\n",
+       "#T_05696_row9_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 75.0%, transparent 75.0%);\n",
        "  background-color: #7fc97f;\n",
        "}\n",
        "</style>\n",
-       "<table id=\"T_4fd43\">\n",
+       "<table id=\"T_05696\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_4fd43_level0_col0\" class=\"col_heading level0 col0\" >participant number</th>\n",
-       "      <th id=\"T_4fd43_level0_col1\" class=\"col_heading level0 col1\" >gender</th>\n",
-       "      <th id=\"T_4fd43_level0_col2\" class=\"col_heading level0 col2\" >age</th>\n",
-       "      <th id=\"T_4fd43_level0_col3\" class=\"col_heading level0 col3\" >correct hit percentage</th>\n",
-       "      <th id=\"T_4fd43_level0_col4\" class=\"col_heading level0 col4\" >correct reject percentage</th>\n",
-       "      <th id=\"T_4fd43_level0_col5\" class=\"col_heading level0 col5\" >percent correct</th>\n",
-       "      <th id=\"T_4fd43_level0_col6\" class=\"col_heading level0 col6\" >confidence when correct hit</th>\n",
-       "      <th id=\"T_4fd43_level0_col7\" class=\"col_heading level0 col7\" >confidence when incorrect hit</th>\n",
-       "      <th id=\"T_4fd43_level0_col8\" class=\"col_heading level0 col8\" >confidence when correct reject</th>\n",
-       "      <th id=\"T_4fd43_level0_col9\" class=\"col_heading level0 col9\" >confidence when incorrect reject</th>\n",
-       "      <th id=\"T_4fd43_level0_col10\" class=\"col_heading level0 col10\" >confidence when correct</th>\n",
-       "      <th id=\"T_4fd43_level0_col11\" class=\"col_heading level0 col11\" >confidence when incorrect</th>\n",
-       "      <th id=\"T_4fd43_level0_col12\" class=\"col_heading level0 col12\" >sci</th>\n",
-       "      <th id=\"T_4fd43_level0_col13\" class=\"col_heading level0 col13\" >psqi</th>\n",
-       "      <th id=\"T_4fd43_level0_col14\" class=\"col_heading level0 col14\" >ess</th>\n",
-       "      <th id=\"T_4fd43_level0_col15\" class=\"col_heading level0 col15\" >insomnia</th>\n",
+       "      <th id=\"T_05696_level0_col0\" class=\"col_heading level0 col0\" >participant number</th>\n",
+       "      <th id=\"T_05696_level0_col1\" class=\"col_heading level0 col1\" >gender</th>\n",
+       "      <th id=\"T_05696_level0_col2\" class=\"col_heading level0 col2\" >age</th>\n",
+       "      <th id=\"T_05696_level0_col3\" class=\"col_heading level0 col3\" >correct hit percentage</th>\n",
+       "      <th id=\"T_05696_level0_col4\" class=\"col_heading level0 col4\" >correct reject percentage</th>\n",
+       "      <th id=\"T_05696_level0_col5\" class=\"col_heading level0 col5\" >percent correct</th>\n",
+       "      <th id=\"T_05696_level0_col6\" class=\"col_heading level0 col6\" >confidence when correct hit</th>\n",
+       "      <th id=\"T_05696_level0_col7\" class=\"col_heading level0 col7\" >confidence when incorrect hit</th>\n",
+       "      <th id=\"T_05696_level0_col8\" class=\"col_heading level0 col8\" >confidence when correct reject</th>\n",
+       "      <th id=\"T_05696_level0_col9\" class=\"col_heading level0 col9\" >confidence when incorrect reject</th>\n",
+       "      <th id=\"T_05696_level0_col10\" class=\"col_heading level0 col10\" >confidence when correct</th>\n",
+       "      <th id=\"T_05696_level0_col11\" class=\"col_heading level0 col11\" >confidence when incorrect</th>\n",
+       "      <th id=\"T_05696_level0_col12\" class=\"col_heading level0 col12\" >sci</th>\n",
+       "      <th id=\"T_05696_level0_col13\" class=\"col_heading level0 col13\" >psqi</th>\n",
+       "      <th id=\"T_05696_level0_col14\" class=\"col_heading level0 col14\" >ess</th>\n",
+       "      <th id=\"T_05696_level0_col15\" class=\"col_heading level0 col15\" >insomnia</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
-       "      <td id=\"T_4fd43_row0_col0\" class=\"data row0 col0\" >8</td>\n",
-       "      <td id=\"T_4fd43_row0_col1\" class=\"data row0 col1\" >f</td>\n",
-       "      <td id=\"T_4fd43_row0_col2\" class=\"data row0 col2\" >39</td>\n",
-       "      <td id=\"T_4fd43_row0_col3\" class=\"data row0 col3\" >65</td>\n",
-       "      <td id=\"T_4fd43_row0_col4\" class=\"data row0 col4\" >80</td>\n",
-       "      <td id=\"T_4fd43_row0_col5\" class=\"data row0 col5\" >72.500000</td>\n",
-       "      <td id=\"T_4fd43_row0_col6\" class=\"data row0 col6\" >91.000000</td>\n",
-       "      <td id=\"T_4fd43_row0_col7\" class=\"data row0 col7\" >90.000000</td>\n",
-       "      <td id=\"T_4fd43_row0_col8\" class=\"data row0 col8\" >93.000000</td>\n",
-       "      <td id=\"T_4fd43_row0_col9\" class=\"data row0 col9\" >83.500000</td>\n",
-       "      <td id=\"T_4fd43_row0_col10\" class=\"data row0 col10\" >93.000000</td>\n",
-       "      <td id=\"T_4fd43_row0_col11\" class=\"data row0 col11\" >90.000000</td>\n",
-       "      <td id=\"T_4fd43_row0_col12\" class=\"data row0 col12\" >9</td>\n",
-       "      <td id=\"T_4fd43_row0_col13\" class=\"data row0 col13\" >13</td>\n",
-       "      <td id=\"T_4fd43_row0_col14\" class=\"data row0 col14\" >2</td>\n",
-       "      <td id=\"T_4fd43_row0_col15\" class=\"data row0 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
-       "      <td id=\"T_4fd43_row1_col0\" class=\"data row1 col0\" >16</td>\n",
-       "      <td id=\"T_4fd43_row1_col1\" class=\"data row1 col1\" >m</td>\n",
-       "      <td id=\"T_4fd43_row1_col2\" class=\"data row1 col2\" >42</td>\n",
-       "      <td id=\"T_4fd43_row1_col3\" class=\"data row1 col3\" >90</td>\n",
-       "      <td id=\"T_4fd43_row1_col4\" class=\"data row1 col4\" >90</td>\n",
-       "      <td id=\"T_4fd43_row1_col5\" class=\"data row1 col5\" >90.000000</td>\n",
-       "      <td id=\"T_4fd43_row1_col6\" class=\"data row1 col6\" >75.500000</td>\n",
-       "      <td id=\"T_4fd43_row1_col7\" class=\"data row1 col7\" >55.500000</td>\n",
-       "      <td id=\"T_4fd43_row1_col8\" class=\"data row1 col8\" >70.500000</td>\n",
-       "      <td id=\"T_4fd43_row1_col9\" class=\"data row1 col9\" >50.000000</td>\n",
-       "      <td id=\"T_4fd43_row1_col10\" class=\"data row1 col10\" >75.000000</td>\n",
-       "      <td id=\"T_4fd43_row1_col11\" class=\"data row1 col11\" >50.000000</td>\n",
-       "      <td id=\"T_4fd43_row1_col12\" class=\"data row1 col12\" >4</td>\n",
-       "      <td id=\"T_4fd43_row1_col13\" class=\"data row1 col13\" >11</td>\n",
-       "      <td id=\"T_4fd43_row1_col14\" class=\"data row1 col14\" >7</td>\n",
-       "      <td id=\"T_4fd43_row1_col15\" class=\"data row1 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
-       "      <td id=\"T_4fd43_row2_col0\" class=\"data row2 col0\" >18</td>\n",
-       "      <td id=\"T_4fd43_row2_col1\" class=\"data row2 col1\" >f</td>\n",
-       "      <td id=\"T_4fd43_row2_col2\" class=\"data row2 col2\" >31</td>\n",
-       "      <td id=\"T_4fd43_row2_col3\" class=\"data row2 col3\" >90</td>\n",
-       "      <td id=\"T_4fd43_row2_col4\" class=\"data row2 col4\" >95</td>\n",
-       "      <td id=\"T_4fd43_row2_col5\" class=\"data row2 col5\" >92.500000</td>\n",
-       "      <td id=\"T_4fd43_row2_col6\" class=\"data row2 col6\" >89.500000</td>\n",
-       "      <td id=\"T_4fd43_row2_col7\" class=\"data row2 col7\" >90.000000</td>\n",
-       "      <td id=\"T_4fd43_row2_col8\" class=\"data row2 col8\" >86.000000</td>\n",
-       "      <td id=\"T_4fd43_row2_col9\" class=\"data row2 col9\" >81.000000</td>\n",
-       "      <td id=\"T_4fd43_row2_col10\" class=\"data row2 col10\" >89.000000</td>\n",
-       "      <td id=\"T_4fd43_row2_col11\" class=\"data row2 col11\" >88.000000</td>\n",
-       "      <td id=\"T_4fd43_row2_col12\" class=\"data row2 col12\" >10</td>\n",
-       "      <td id=\"T_4fd43_row2_col13\" class=\"data row2 col13\" >9</td>\n",
-       "      <td id=\"T_4fd43_row2_col14\" class=\"data row2 col14\" >3</td>\n",
-       "      <td id=\"T_4fd43_row2_col15\" class=\"data row2 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
-       "      <td id=\"T_4fd43_row3_col0\" class=\"data row3 col0\" >22</td>\n",
-       "      <td id=\"T_4fd43_row3_col1\" class=\"data row3 col1\" >f</td>\n",
-       "      <td id=\"T_4fd43_row3_col2\" class=\"data row3 col2\" >35</td>\n",
-       "      <td id=\"T_4fd43_row3_col3\" class=\"data row3 col3\" >100</td>\n",
-       "      <td id=\"T_4fd43_row3_col4\" class=\"data row3 col4\" >75</td>\n",
-       "      <td id=\"T_4fd43_row3_col5\" class=\"data row3 col5\" >87.500000</td>\n",
-       "      <td id=\"T_4fd43_row3_col6\" class=\"data row3 col6\" >89.500000</td>\n",
-       "      <td id=\"T_4fd43_row3_col7\" class=\"data row3 col7\" >nan</td>\n",
-       "      <td id=\"T_4fd43_row3_col8\" class=\"data row3 col8\" >71.000000</td>\n",
-       "      <td id=\"T_4fd43_row3_col9\" class=\"data row3 col9\" >80.000000</td>\n",
-       "      <td id=\"T_4fd43_row3_col10\" class=\"data row3 col10\" >88.000000</td>\n",
-       "      <td id=\"T_4fd43_row3_col11\" class=\"data row3 col11\" >80.000000</td>\n",
-       "      <td id=\"T_4fd43_row3_col12\" class=\"data row3 col12\" >13</td>\n",
-       "      <td id=\"T_4fd43_row3_col13\" class=\"data row3 col13\" >8</td>\n",
-       "      <td id=\"T_4fd43_row3_col14\" class=\"data row3 col14\" >20</td>\n",
-       "      <td id=\"T_4fd43_row3_col15\" class=\"data row3 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
-       "      <td id=\"T_4fd43_row4_col0\" class=\"data row4 col0\" >27</td>\n",
-       "      <td id=\"T_4fd43_row4_col1\" class=\"data row4 col1\" >f</td>\n",
-       "      <td id=\"T_4fd43_row4_col2\" class=\"data row4 col2\" >74</td>\n",
-       "      <td id=\"T_4fd43_row4_col3\" class=\"data row4 col3\" >60</td>\n",
-       "      <td id=\"T_4fd43_row4_col4\" class=\"data row4 col4\" >65</td>\n",
-       "      <td id=\"T_4fd43_row4_col5\" class=\"data row4 col5\" >62.500000</td>\n",
-       "      <td id=\"T_4fd43_row4_col6\" class=\"data row4 col6\" >68.500000</td>\n",
-       "      <td id=\"T_4fd43_row4_col7\" class=\"data row4 col7\" >49.000000</td>\n",
-       "      <td id=\"T_4fd43_row4_col8\" class=\"data row4 col8\" >61.000000</td>\n",
-       "      <td id=\"T_4fd43_row4_col9\" class=\"data row4 col9\" >49.000000</td>\n",
-       "      <td id=\"T_4fd43_row4_col10\" class=\"data row4 col10\" >65.000000</td>\n",
-       "      <td id=\"T_4fd43_row4_col11\" class=\"data row4 col11\" >49.000000</td>\n",
-       "      <td id=\"T_4fd43_row4_col12\" class=\"data row4 col12\" >13</td>\n",
-       "      <td id=\"T_4fd43_row4_col13\" class=\"data row4 col13\" >9</td>\n",
-       "      <td id=\"T_4fd43_row4_col14\" class=\"data row4 col14\" >12</td>\n",
-       "      <td id=\"T_4fd43_row4_col15\" class=\"data row4 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
-       "      <td id=\"T_4fd43_row5_col0\" class=\"data row5 col0\" >28</td>\n",
-       "      <td id=\"T_4fd43_row5_col1\" class=\"data row5 col1\" >f</td>\n",
-       "      <td id=\"T_4fd43_row5_col2\" class=\"data row5 col2\" >61</td>\n",
-       "      <td id=\"T_4fd43_row5_col3\" class=\"data row5 col3\" >80</td>\n",
-       "      <td id=\"T_4fd43_row5_col4\" class=\"data row5 col4\" >20</td>\n",
-       "      <td id=\"T_4fd43_row5_col5\" class=\"data row5 col5\" >50.000000</td>\n",
-       "      <td id=\"T_4fd43_row5_col6\" class=\"data row5 col6\" >71.000000</td>\n",
-       "      <td id=\"T_4fd43_row5_col7\" class=\"data row5 col7\" >63.000000</td>\n",
-       "      <td id=\"T_4fd43_row5_col8\" class=\"data row5 col8\" >31.000000</td>\n",
-       "      <td id=\"T_4fd43_row5_col9\" class=\"data row5 col9\" >72.500000</td>\n",
-       "      <td id=\"T_4fd43_row5_col10\" class=\"data row5 col10\" >64.500000</td>\n",
-       "      <td id=\"T_4fd43_row5_col11\" class=\"data row5 col11\" >70.500000</td>\n",
-       "      <td id=\"T_4fd43_row5_col12\" class=\"data row5 col12\" >15</td>\n",
-       "      <td id=\"T_4fd43_row5_col13\" class=\"data row5 col13\" >14</td>\n",
-       "      <td id=\"T_4fd43_row5_col14\" class=\"data row5 col14\" >2</td>\n",
-       "      <td id=\"T_4fd43_row5_col15\" class=\"data row5 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
-       "      <td id=\"T_4fd43_row6_col0\" class=\"data row6 col0\" >30</td>\n",
-       "      <td id=\"T_4fd43_row6_col1\" class=\"data row6 col1\" >m</td>\n",
-       "      <td id=\"T_4fd43_row6_col2\" class=\"data row6 col2\" >32</td>\n",
-       "      <td id=\"T_4fd43_row6_col3\" class=\"data row6 col3\" >90</td>\n",
-       "      <td id=\"T_4fd43_row6_col4\" class=\"data row6 col4\" >75</td>\n",
-       "      <td id=\"T_4fd43_row6_col5\" class=\"data row6 col5\" >82.500000</td>\n",
-       "      <td id=\"T_4fd43_row6_col6\" class=\"data row6 col6\" >67.000000</td>\n",
-       "      <td id=\"T_4fd43_row6_col7\" class=\"data row6 col7\" >56.500000</td>\n",
-       "      <td id=\"T_4fd43_row6_col8\" class=\"data row6 col8\" >66.000000</td>\n",
-       "      <td id=\"T_4fd43_row6_col9\" class=\"data row6 col9\" >65.000000</td>\n",
-       "      <td id=\"T_4fd43_row6_col10\" class=\"data row6 col10\" >66.000000</td>\n",
-       "      <td id=\"T_4fd43_row6_col11\" class=\"data row6 col11\" >64.000000</td>\n",
-       "      <td id=\"T_4fd43_row6_col12\" class=\"data row6 col12\" >16</td>\n",
-       "      <td id=\"T_4fd43_row6_col13\" class=\"data row6 col13\" >9</td>\n",
-       "      <td id=\"T_4fd43_row6_col14\" class=\"data row6 col14\" >3</td>\n",
-       "      <td id=\"T_4fd43_row6_col15\" class=\"data row6 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
-       "      <td id=\"T_4fd43_row7_col0\" class=\"data row7 col0\" >33</td>\n",
-       "      <td id=\"T_4fd43_row7_col1\" class=\"data row7 col1\" >m</td>\n",
-       "      <td id=\"T_4fd43_row7_col2\" class=\"data row7 col2\" >62</td>\n",
-       "      <td id=\"T_4fd43_row7_col3\" class=\"data row7 col3\" >45</td>\n",
-       "      <td id=\"T_4fd43_row7_col4\" class=\"data row7 col4\" >90</td>\n",
-       "      <td id=\"T_4fd43_row7_col5\" class=\"data row7 col5\" >67.500000</td>\n",
-       "      <td id=\"T_4fd43_row7_col6\" class=\"data row7 col6\" >54.000000</td>\n",
-       "      <td id=\"T_4fd43_row7_col7\" class=\"data row7 col7\" >37.000000</td>\n",
-       "      <td id=\"T_4fd43_row7_col8\" class=\"data row7 col8\" >65.000000</td>\n",
-       "      <td id=\"T_4fd43_row7_col9\" class=\"data row7 col9\" >81.500000</td>\n",
-       "      <td id=\"T_4fd43_row7_col10\" class=\"data row7 col10\" >62.000000</td>\n",
-       "      <td id=\"T_4fd43_row7_col11\" class=\"data row7 col11\" >61.000000</td>\n",
-       "      <td id=\"T_4fd43_row7_col12\" class=\"data row7 col12\" >14</td>\n",
-       "      <td id=\"T_4fd43_row7_col13\" class=\"data row7 col13\" >9</td>\n",
-       "      <td id=\"T_4fd43_row7_col14\" class=\"data row7 col14\" >9</td>\n",
-       "      <td id=\"T_4fd43_row7_col15\" class=\"data row7 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
-       "      <td id=\"T_4fd43_row8_col0\" class=\"data row8 col0\" >34</td>\n",
-       "      <td id=\"T_4fd43_row8_col1\" class=\"data row8 col1\" >f</td>\n",
-       "      <td id=\"T_4fd43_row8_col2\" class=\"data row8 col2\" >33</td>\n",
-       "      <td id=\"T_4fd43_row8_col3\" class=\"data row8 col3\" >80</td>\n",
-       "      <td id=\"T_4fd43_row8_col4\" class=\"data row8 col4\" >100</td>\n",
-       "      <td id=\"T_4fd43_row8_col5\" class=\"data row8 col5\" >90.000000</td>\n",
-       "      <td id=\"T_4fd43_row8_col6\" class=\"data row8 col6\" >70.500000</td>\n",
-       "      <td id=\"T_4fd43_row8_col7\" class=\"data row8 col7\" >76.500000</td>\n",
-       "      <td id=\"T_4fd43_row8_col8\" class=\"data row8 col8\" >64.500000</td>\n",
-       "      <td id=\"T_4fd43_row8_col9\" class=\"data row8 col9\" >nan</td>\n",
-       "      <td id=\"T_4fd43_row8_col10\" class=\"data row8 col10\" >68.000000</td>\n",
-       "      <td id=\"T_4fd43_row8_col11\" class=\"data row8 col11\" >76.500000</td>\n",
-       "      <td id=\"T_4fd43_row8_col12\" class=\"data row8 col12\" >14</td>\n",
-       "      <td id=\"T_4fd43_row8_col13\" class=\"data row8 col13\" >12</td>\n",
-       "      <td id=\"T_4fd43_row8_col14\" class=\"data row8 col14\" >10</td>\n",
-       "      <td id=\"T_4fd43_row8_col15\" class=\"data row8 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
-       "      <td id=\"T_4fd43_row9_col0\" class=\"data row9 col0\" >35</td>\n",
-       "      <td id=\"T_4fd43_row9_col1\" class=\"data row9 col1\" >f</td>\n",
-       "      <td id=\"T_4fd43_row9_col2\" class=\"data row9 col2\" >53</td>\n",
-       "      <td id=\"T_4fd43_row9_col3\" class=\"data row9 col3\" >100</td>\n",
-       "      <td id=\"T_4fd43_row9_col4\" class=\"data row9 col4\" >50</td>\n",
-       "      <td id=\"T_4fd43_row9_col5\" class=\"data row9 col5\" >75.000000</td>\n",
-       "      <td id=\"T_4fd43_row9_col6\" class=\"data row9 col6\" >74.500000</td>\n",
-       "      <td id=\"T_4fd43_row9_col7\" class=\"data row9 col7\" >nan</td>\n",
-       "      <td id=\"T_4fd43_row9_col8\" class=\"data row9 col8\" >60.500000</td>\n",
-       "      <td id=\"T_4fd43_row9_col9\" class=\"data row9 col9\" >65.000000</td>\n",
-       "      <td id=\"T_4fd43_row9_col10\" class=\"data row9 col10\" >71.000000</td>\n",
-       "      <td id=\"T_4fd43_row9_col11\" class=\"data row9 col11\" >65.000000</td>\n",
-       "      <td id=\"T_4fd43_row9_col12\" class=\"data row9 col12\" >14</td>\n",
-       "      <td id=\"T_4fd43_row9_col13\" class=\"data row9 col13\" >8</td>\n",
-       "      <td id=\"T_4fd43_row9_col14\" class=\"data row9 col14\" >7</td>\n",
-       "      <td id=\"T_4fd43_row9_col15\" class=\"data row9 col15\" >True</td>\n",
+       "      <th id=\"T_05696_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+       "      <td id=\"T_05696_row0_col0\" class=\"data row0 col0\" >8</td>\n",
+       "      <td id=\"T_05696_row0_col1\" class=\"data row0 col1\" >f</td>\n",
+       "      <td id=\"T_05696_row0_col2\" class=\"data row0 col2\" >39</td>\n",
+       "      <td id=\"T_05696_row0_col3\" class=\"data row0 col3\" >65</td>\n",
+       "      <td id=\"T_05696_row0_col4\" class=\"data row0 col4\" >80</td>\n",
+       "      <td id=\"T_05696_row0_col5\" class=\"data row0 col5\" >72.500000</td>\n",
+       "      <td id=\"T_05696_row0_col6\" class=\"data row0 col6\" >91.000000</td>\n",
+       "      <td id=\"T_05696_row0_col7\" class=\"data row0 col7\" >90.000000</td>\n",
+       "      <td id=\"T_05696_row0_col8\" class=\"data row0 col8\" >93.000000</td>\n",
+       "      <td id=\"T_05696_row0_col9\" class=\"data row0 col9\" >83.500000</td>\n",
+       "      <td id=\"T_05696_row0_col10\" class=\"data row0 col10\" >93.000000</td>\n",
+       "      <td id=\"T_05696_row0_col11\" class=\"data row0 col11\" >90.000000</td>\n",
+       "      <td id=\"T_05696_row0_col12\" class=\"data row0 col12\" >9</td>\n",
+       "      <td id=\"T_05696_row0_col13\" class=\"data row0 col13\" >13</td>\n",
+       "      <td id=\"T_05696_row0_col14\" class=\"data row0 col14\" >2</td>\n",
+       "      <td id=\"T_05696_row0_col15\" class=\"data row0 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+       "      <td id=\"T_05696_row1_col0\" class=\"data row1 col0\" >16</td>\n",
+       "      <td id=\"T_05696_row1_col1\" class=\"data row1 col1\" >m</td>\n",
+       "      <td id=\"T_05696_row1_col2\" class=\"data row1 col2\" >42</td>\n",
+       "      <td id=\"T_05696_row1_col3\" class=\"data row1 col3\" >90</td>\n",
+       "      <td id=\"T_05696_row1_col4\" class=\"data row1 col4\" >90</td>\n",
+       "      <td id=\"T_05696_row1_col5\" class=\"data row1 col5\" >90.000000</td>\n",
+       "      <td id=\"T_05696_row1_col6\" class=\"data row1 col6\" >75.500000</td>\n",
+       "      <td id=\"T_05696_row1_col7\" class=\"data row1 col7\" >55.500000</td>\n",
+       "      <td id=\"T_05696_row1_col8\" class=\"data row1 col8\" >70.500000</td>\n",
+       "      <td id=\"T_05696_row1_col9\" class=\"data row1 col9\" >50.000000</td>\n",
+       "      <td id=\"T_05696_row1_col10\" class=\"data row1 col10\" >75.000000</td>\n",
+       "      <td id=\"T_05696_row1_col11\" class=\"data row1 col11\" >50.000000</td>\n",
+       "      <td id=\"T_05696_row1_col12\" class=\"data row1 col12\" >4</td>\n",
+       "      <td id=\"T_05696_row1_col13\" class=\"data row1 col13\" >11</td>\n",
+       "      <td id=\"T_05696_row1_col14\" class=\"data row1 col14\" >7</td>\n",
+       "      <td id=\"T_05696_row1_col15\" class=\"data row1 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+       "      <td id=\"T_05696_row2_col0\" class=\"data row2 col0\" >18</td>\n",
+       "      <td id=\"T_05696_row2_col1\" class=\"data row2 col1\" >f</td>\n",
+       "      <td id=\"T_05696_row2_col2\" class=\"data row2 col2\" >31</td>\n",
+       "      <td id=\"T_05696_row2_col3\" class=\"data row2 col3\" >90</td>\n",
+       "      <td id=\"T_05696_row2_col4\" class=\"data row2 col4\" >95</td>\n",
+       "      <td id=\"T_05696_row2_col5\" class=\"data row2 col5\" >92.500000</td>\n",
+       "      <td id=\"T_05696_row2_col6\" class=\"data row2 col6\" >89.500000</td>\n",
+       "      <td id=\"T_05696_row2_col7\" class=\"data row2 col7\" >90.000000</td>\n",
+       "      <td id=\"T_05696_row2_col8\" class=\"data row2 col8\" >86.000000</td>\n",
+       "      <td id=\"T_05696_row2_col9\" class=\"data row2 col9\" >81.000000</td>\n",
+       "      <td id=\"T_05696_row2_col10\" class=\"data row2 col10\" >89.000000</td>\n",
+       "      <td id=\"T_05696_row2_col11\" class=\"data row2 col11\" >88.000000</td>\n",
+       "      <td id=\"T_05696_row2_col12\" class=\"data row2 col12\" >10</td>\n",
+       "      <td id=\"T_05696_row2_col13\" class=\"data row2 col13\" >9</td>\n",
+       "      <td id=\"T_05696_row2_col14\" class=\"data row2 col14\" >3</td>\n",
+       "      <td id=\"T_05696_row2_col15\" class=\"data row2 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+       "      <td id=\"T_05696_row3_col0\" class=\"data row3 col0\" >22</td>\n",
+       "      <td id=\"T_05696_row3_col1\" class=\"data row3 col1\" >f</td>\n",
+       "      <td id=\"T_05696_row3_col2\" class=\"data row3 col2\" >35</td>\n",
+       "      <td id=\"T_05696_row3_col3\" class=\"data row3 col3\" >100</td>\n",
+       "      <td id=\"T_05696_row3_col4\" class=\"data row3 col4\" >75</td>\n",
+       "      <td id=\"T_05696_row3_col5\" class=\"data row3 col5\" >87.500000</td>\n",
+       "      <td id=\"T_05696_row3_col6\" class=\"data row3 col6\" >89.500000</td>\n",
+       "      <td id=\"T_05696_row3_col7\" class=\"data row3 col7\" >nan</td>\n",
+       "      <td id=\"T_05696_row3_col8\" class=\"data row3 col8\" >71.000000</td>\n",
+       "      <td id=\"T_05696_row3_col9\" class=\"data row3 col9\" >80.000000</td>\n",
+       "      <td id=\"T_05696_row3_col10\" class=\"data row3 col10\" >88.000000</td>\n",
+       "      <td id=\"T_05696_row3_col11\" class=\"data row3 col11\" >80.000000</td>\n",
+       "      <td id=\"T_05696_row3_col12\" class=\"data row3 col12\" >13</td>\n",
+       "      <td id=\"T_05696_row3_col13\" class=\"data row3 col13\" >8</td>\n",
+       "      <td id=\"T_05696_row3_col14\" class=\"data row3 col14\" >20</td>\n",
+       "      <td id=\"T_05696_row3_col15\" class=\"data row3 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+       "      <td id=\"T_05696_row4_col0\" class=\"data row4 col0\" >27</td>\n",
+       "      <td id=\"T_05696_row4_col1\" class=\"data row4 col1\" >f</td>\n",
+       "      <td id=\"T_05696_row4_col2\" class=\"data row4 col2\" >74</td>\n",
+       "      <td id=\"T_05696_row4_col3\" class=\"data row4 col3\" >60</td>\n",
+       "      <td id=\"T_05696_row4_col4\" class=\"data row4 col4\" >65</td>\n",
+       "      <td id=\"T_05696_row4_col5\" class=\"data row4 col5\" >62.500000</td>\n",
+       "      <td id=\"T_05696_row4_col6\" class=\"data row4 col6\" >68.500000</td>\n",
+       "      <td id=\"T_05696_row4_col7\" class=\"data row4 col7\" >49.000000</td>\n",
+       "      <td id=\"T_05696_row4_col8\" class=\"data row4 col8\" >61.000000</td>\n",
+       "      <td id=\"T_05696_row4_col9\" class=\"data row4 col9\" >49.000000</td>\n",
+       "      <td id=\"T_05696_row4_col10\" class=\"data row4 col10\" >65.000000</td>\n",
+       "      <td id=\"T_05696_row4_col11\" class=\"data row4 col11\" >49.000000</td>\n",
+       "      <td id=\"T_05696_row4_col12\" class=\"data row4 col12\" >13</td>\n",
+       "      <td id=\"T_05696_row4_col13\" class=\"data row4 col13\" >9</td>\n",
+       "      <td id=\"T_05696_row4_col14\" class=\"data row4 col14\" >12</td>\n",
+       "      <td id=\"T_05696_row4_col15\" class=\"data row4 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
+       "      <td id=\"T_05696_row5_col0\" class=\"data row5 col0\" >28</td>\n",
+       "      <td id=\"T_05696_row5_col1\" class=\"data row5 col1\" >f</td>\n",
+       "      <td id=\"T_05696_row5_col2\" class=\"data row5 col2\" >61</td>\n",
+       "      <td id=\"T_05696_row5_col3\" class=\"data row5 col3\" >80</td>\n",
+       "      <td id=\"T_05696_row5_col4\" class=\"data row5 col4\" >20</td>\n",
+       "      <td id=\"T_05696_row5_col5\" class=\"data row5 col5\" >50.000000</td>\n",
+       "      <td id=\"T_05696_row5_col6\" class=\"data row5 col6\" >71.000000</td>\n",
+       "      <td id=\"T_05696_row5_col7\" class=\"data row5 col7\" >63.000000</td>\n",
+       "      <td id=\"T_05696_row5_col8\" class=\"data row5 col8\" >31.000000</td>\n",
+       "      <td id=\"T_05696_row5_col9\" class=\"data row5 col9\" >72.500000</td>\n",
+       "      <td id=\"T_05696_row5_col10\" class=\"data row5 col10\" >64.500000</td>\n",
+       "      <td id=\"T_05696_row5_col11\" class=\"data row5 col11\" >70.500000</td>\n",
+       "      <td id=\"T_05696_row5_col12\" class=\"data row5 col12\" >15</td>\n",
+       "      <td id=\"T_05696_row5_col13\" class=\"data row5 col13\" >14</td>\n",
+       "      <td id=\"T_05696_row5_col14\" class=\"data row5 col14\" >2</td>\n",
+       "      <td id=\"T_05696_row5_col15\" class=\"data row5 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
+       "      <td id=\"T_05696_row6_col0\" class=\"data row6 col0\" >30</td>\n",
+       "      <td id=\"T_05696_row6_col1\" class=\"data row6 col1\" >m</td>\n",
+       "      <td id=\"T_05696_row6_col2\" class=\"data row6 col2\" >32</td>\n",
+       "      <td id=\"T_05696_row6_col3\" class=\"data row6 col3\" >90</td>\n",
+       "      <td id=\"T_05696_row6_col4\" class=\"data row6 col4\" >75</td>\n",
+       "      <td id=\"T_05696_row6_col5\" class=\"data row6 col5\" >82.500000</td>\n",
+       "      <td id=\"T_05696_row6_col6\" class=\"data row6 col6\" >67.000000</td>\n",
+       "      <td id=\"T_05696_row6_col7\" class=\"data row6 col7\" >56.500000</td>\n",
+       "      <td id=\"T_05696_row6_col8\" class=\"data row6 col8\" >66.000000</td>\n",
+       "      <td id=\"T_05696_row6_col9\" class=\"data row6 col9\" >65.000000</td>\n",
+       "      <td id=\"T_05696_row6_col10\" class=\"data row6 col10\" >66.000000</td>\n",
+       "      <td id=\"T_05696_row6_col11\" class=\"data row6 col11\" >64.000000</td>\n",
+       "      <td id=\"T_05696_row6_col12\" class=\"data row6 col12\" >16</td>\n",
+       "      <td id=\"T_05696_row6_col13\" class=\"data row6 col13\" >9</td>\n",
+       "      <td id=\"T_05696_row6_col14\" class=\"data row6 col14\" >3</td>\n",
+       "      <td id=\"T_05696_row6_col15\" class=\"data row6 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
+       "      <td id=\"T_05696_row7_col0\" class=\"data row7 col0\" >33</td>\n",
+       "      <td id=\"T_05696_row7_col1\" class=\"data row7 col1\" >m</td>\n",
+       "      <td id=\"T_05696_row7_col2\" class=\"data row7 col2\" >62</td>\n",
+       "      <td id=\"T_05696_row7_col3\" class=\"data row7 col3\" >45</td>\n",
+       "      <td id=\"T_05696_row7_col4\" class=\"data row7 col4\" >90</td>\n",
+       "      <td id=\"T_05696_row7_col5\" class=\"data row7 col5\" >67.500000</td>\n",
+       "      <td id=\"T_05696_row7_col6\" class=\"data row7 col6\" >54.000000</td>\n",
+       "      <td id=\"T_05696_row7_col7\" class=\"data row7 col7\" >37.000000</td>\n",
+       "      <td id=\"T_05696_row7_col8\" class=\"data row7 col8\" >65.000000</td>\n",
+       "      <td id=\"T_05696_row7_col9\" class=\"data row7 col9\" >81.500000</td>\n",
+       "      <td id=\"T_05696_row7_col10\" class=\"data row7 col10\" >62.000000</td>\n",
+       "      <td id=\"T_05696_row7_col11\" class=\"data row7 col11\" >61.000000</td>\n",
+       "      <td id=\"T_05696_row7_col12\" class=\"data row7 col12\" >14</td>\n",
+       "      <td id=\"T_05696_row7_col13\" class=\"data row7 col13\" >9</td>\n",
+       "      <td id=\"T_05696_row7_col14\" class=\"data row7 col14\" >9</td>\n",
+       "      <td id=\"T_05696_row7_col15\" class=\"data row7 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
+       "      <td id=\"T_05696_row8_col0\" class=\"data row8 col0\" >34</td>\n",
+       "      <td id=\"T_05696_row8_col1\" class=\"data row8 col1\" >f</td>\n",
+       "      <td id=\"T_05696_row8_col2\" class=\"data row8 col2\" >33</td>\n",
+       "      <td id=\"T_05696_row8_col3\" class=\"data row8 col3\" >80</td>\n",
+       "      <td id=\"T_05696_row8_col4\" class=\"data row8 col4\" >100</td>\n",
+       "      <td id=\"T_05696_row8_col5\" class=\"data row8 col5\" >90.000000</td>\n",
+       "      <td id=\"T_05696_row8_col6\" class=\"data row8 col6\" >70.500000</td>\n",
+       "      <td id=\"T_05696_row8_col7\" class=\"data row8 col7\" >76.500000</td>\n",
+       "      <td id=\"T_05696_row8_col8\" class=\"data row8 col8\" >64.500000</td>\n",
+       "      <td id=\"T_05696_row8_col9\" class=\"data row8 col9\" >nan</td>\n",
+       "      <td id=\"T_05696_row8_col10\" class=\"data row8 col10\" >68.000000</td>\n",
+       "      <td id=\"T_05696_row8_col11\" class=\"data row8 col11\" >76.500000</td>\n",
+       "      <td id=\"T_05696_row8_col12\" class=\"data row8 col12\" >14</td>\n",
+       "      <td id=\"T_05696_row8_col13\" class=\"data row8 col13\" >12</td>\n",
+       "      <td id=\"T_05696_row8_col14\" class=\"data row8 col14\" >10</td>\n",
+       "      <td id=\"T_05696_row8_col15\" class=\"data row8 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
+       "      <td id=\"T_05696_row9_col0\" class=\"data row9 col0\" >35</td>\n",
+       "      <td id=\"T_05696_row9_col1\" class=\"data row9 col1\" >f</td>\n",
+       "      <td id=\"T_05696_row9_col2\" class=\"data row9 col2\" >53</td>\n",
+       "      <td id=\"T_05696_row9_col3\" class=\"data row9 col3\" >100</td>\n",
+       "      <td id=\"T_05696_row9_col4\" class=\"data row9 col4\" >50</td>\n",
+       "      <td id=\"T_05696_row9_col5\" class=\"data row9 col5\" >75.000000</td>\n",
+       "      <td id=\"T_05696_row9_col6\" class=\"data row9 col6\" >74.500000</td>\n",
+       "      <td id=\"T_05696_row9_col7\" class=\"data row9 col7\" >nan</td>\n",
+       "      <td id=\"T_05696_row9_col8\" class=\"data row9 col8\" >60.500000</td>\n",
+       "      <td id=\"T_05696_row9_col9\" class=\"data row9 col9\" >65.000000</td>\n",
+       "      <td id=\"T_05696_row9_col10\" class=\"data row9 col10\" >71.000000</td>\n",
+       "      <td id=\"T_05696_row9_col11\" class=\"data row9 col11\" >65.000000</td>\n",
+       "      <td id=\"T_05696_row9_col12\" class=\"data row9 col12\" >14</td>\n",
+       "      <td id=\"T_05696_row9_col13\" class=\"data row9 col13\" >8</td>\n",
+       "      <td id=\"T_05696_row9_col14\" class=\"data row9 col14\" >7</td>\n",
+       "      <td id=\"T_05696_row9_col15\" class=\"data row9 col15\" >True</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x173c3cc50>"
+       "<pandas.io.formats.style.Styler at 0x169d3ff10>"
       ]
      },
      "execution_count": 27,
diff --git a/2024/_sources/lessons/l17_split_apply_combine.ipynb.txt b/2024/_sources/lessons/l17_split_apply_combine.ipynb.txt
index db3748d8..21c4345c 100644
--- a/2024/_sources/lessons/l17_split_apply_combine.ipynb.txt
+++ b/2024/_sources/lessons/l17_split_apply_combine.ipynb.txt
@@ -276,7 +276,7 @@
    ],
    "source": [
     "df = pd.read_csv('data/gfmt_sleep.csv', na_values='*')\n",
-    "df['insomnia'] = df['sci'] <= 16\n",
+    "df = df.assign(insomnia=df['sci'] <= 16)\n",
     "\n",
     "# Take a look\n",
     "df.head()"
@@ -325,7 +325,7 @@
     {
      "data": {
       "text/plain": [
-       "<pandas.core.groupby.generic.DataFrameGroupBy object at 0x1208c3d90>"
+       "<pandas.core.groupby.generic.DataFrameGroupBy object at 0x138635d10>"
       ]
      },
      "execution_count": 3,
@@ -1050,7 +1050,9 @@
     }
    ],
    "source": [
-    "df['rank grouped by insomnia'] = grouped['percent correct'].rank(method='first')\n",
+    "df = df.assign(\n",
+    "    **{\"rank grouped by insomnia\": grouped[\"percent correct\"].rank(method=\"first\")}\n",
+    ")\n",
     "\n",
     "# Take a look\n",
     "df.head()"
@@ -1351,7 +1353,7 @@
    ],
    "source": [
     "cols = df.columns[(df.columns != 'gender') & (df.columns != 'insomnia')]\n",
-    "grouped[cols].agg(coeff_of_var).reset_index()"
+    "df.groupby('insomnia')[cols].agg(coeff_of_var).reset_index()"
    ]
   },
   {
@@ -1589,7 +1591,9 @@
     }
    ],
    "source": [
-    "df['ecdf_y grouped by insomnia'] = grouped['percent correct'].transform(ecdf_y)\n",
+    "df = df.assign(\n",
+    "    **{\"ecdf_y grouped by insomnia\": grouped[\"percent correct\"].transform(ecdf_y)}\n",
+    ")\n",
     "\n",
     "# Take a look\n",
     "df.head()"
diff --git a/2024/_sources/lessons/l18_plotting.ipynb.txt b/2024/_sources/lessons/l18_plotting.ipynb.txt
index e82c1aa4..2bc96e42 100644
--- a/2024/_sources/lessons/l18_plotting.ipynb.txt
+++ b/2024/_sources/lessons/l18_plotting.ipynb.txt
@@ -29,7 +29,7 @@
        "    </style>\n",
        "    <div>\n",
        "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-notebook-logo\"></a>\n",
-       "        <span id=\"f2797d17-6d49-4c14-8b96-1b769f43d38d\">Loading BokehJS ...</span>\n",
+       "        <span id=\"bfcfb16b-2520-40e5-8d62-b6d477e7866a\">Loading BokehJS ...</span>\n",
        "    </div>\n"
       ]
      },
@@ -202,7 +202,7 @@
        "     \"</div>\"}};\n",
        "\n",
        "  function display_loaded(error = null) {\n",
-       "    const el = document.getElementById(\"f2797d17-6d49-4c14-8b96-1b769f43d38d\");\n",
+       "    const el = document.getElementById(\"bfcfb16b-2520-40e5-8d62-b6d477e7866a\");\n",
        "    if (el != null) {\n",
        "      const html = (() => {\n",
        "        if (typeof root.Bokeh === \"undefined\") {\n",
@@ -336,7 +336,7 @@
        "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
        "      root._bokeh_failed_load = true;\n",
        "    } else if (force !== true) {\n",
-       "      const cell = $(document.getElementById(\"f2797d17-6d49-4c14-8b96-1b769f43d38d\")).parents('.cell').data().cell;\n",
+       "      const cell = $(document.getElementById(\"bfcfb16b-2520-40e5-8d62-b6d477e7866a\")).parents('.cell').data().cell;\n",
        "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
        "    }\n",
        "  }\n",
@@ -352,7 +352,7 @@
        "  }\n",
        "}(window));"
       ],
-      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"f2797d17-6d49-4c14-8b96-1b769f43d38d\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"f2797d17-6d49-4c14-8b96-1b769f43d38d\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
+      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"bfcfb16b-2520-40e5-8d62-b6d477e7866a\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"bfcfb16b-2520-40e5-8d62-b6d477e7866a\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -428,7 +428,7 @@
    ],
    "source": [
     "df = pd.read_csv('data/gfmt_sleep.csv', na_values='*')\n",
-    "df['insomnia'] = df['sci'] <= 16\n",
+    "df = df.assign(insomnia=df['sci'] <= 16)\n",
     "\n",
     "df.groupby('insomnia')['percent correct'].median()"
    ]
@@ -518,7 +518,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"fe6c9a49-8c3e-4e7c-8d3a-ea1fa9a19c0a\" data-root-id=\"p1001\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"e0778d11-69fd-4d02-9dc4-98351ba5aa73\" data-root-id=\"p1001\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -529,8 +529,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"1c8ce8f6-b1c8-4bf8-994b-f176e7e9d65b\":{\"version\":\"3.4.1\",\"title\":\"Bokeh 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+       "  const render_items = [{\"docid\":\"7c0f9cf2-9609-4985-b161-b68d3bf69fee\",\"roots\":{\"p1001\":\"e0778d11-69fd-4d02-9dc4-98351ba5aa73\"},\"root_ids\":[\"p1001\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -682,7 +682,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"daf1c92f-37c8-400e-b16a-f466089be927\" data-root-id=\"p1063\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"d4154554-fa9e-405e-b989-002ca214e578\" data-root-id=\"p1063\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
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       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"c0e8187a-7ce0-49f4-916b-92378fab25a2\",\"roots\":{\"p1063\":\"d4154554-fa9e-405e-b989-002ca214e578\"},\"root_ids\":[\"p1063\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -788,7 +788,7 @@
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        "\n",
-       "  <div id=\"e2d35d47-34a2-4190-b78f-5edaffe93bce\" data-root-id=\"p1125\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"fbde4a5a-97bd-4c9b-bda3-84de513097ef\" data-root-id=\"p1125\" style=\"display: contents;\"></div>\n"
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+       "  const render_items = [{\"docid\":\"a50ffb5a-7d90-4669-a9b9-c7ab6b638cb1\",\"roots\":{\"p1125\":\"fbde4a5a-97bd-4c9b-bda3-84de513097ef\"},\"root_ids\":[\"p1125\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -890,7 +890,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"a9be02be-eca2-4345-893d-811012f57360\" data-root-id=\"p1125\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"b2f58680-35d1-45e0-bba1-9244c4d41129\" data-root-id=\"p1125\" style=\"display: contents;\"></div>\n"
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      },
      "metadata": {},
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+       "  const render_items = [{\"docid\":\"d0887410-123c-4f68-94b8-7bcfa3cb8de4\",\"roots\":{\"p1125\":\"b2f58680-35d1-45e0-bba1-9244c4d41129\"},\"root_ids\":[\"p1125\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -963,7 +963,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"b086fcb5-53a5-4f9c-97bc-6759634376b5\" data-root-id=\"p1250\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"bd7ac7ee-21a8-453a-b073-cea7b43cee60\" data-root-id=\"p1250\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -974,8 +974,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"54518d6d-258f-4172-ad7b-e457248ef47b\",\"roots\":{\"p1250\":\"bd7ac7ee-21a8-453a-b073-cea7b43cee60\"},\"root_ids\":[\"p1250\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1071,7 +1071,7 @@
      "data": {
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        "\n",
-       "  <div id=\"c15db730-873b-4ebe-95ef-1b0c192b914a\" data-root-id=\"p1250\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"fb579391-9d80-473e-876a-ee3d4c96a6cc\" data-root-id=\"p1250\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1082,8 +1082,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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when correct\"},\"y\":{\"type\":\"field\",\"field\":\"confidence when incorrect\"},\"line_color\":{\"type\":\"value\",\"value\":\"orange\"},\"fill_color\":{\"type\":\"value\",\"value\":\"orange\"},\"hatch_color\":{\"type\":\"value\",\"value\":\"orange\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p1306\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"confidence when correct\"},\"y\":{\"type\":\"field\",\"field\":\"confidence when incorrect\"},\"line_color\":{\"type\":\"value\",\"value\":\"orange\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"fill_color\":{\"type\":\"value\",\"value\":\"orange\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.1},\"hatch_color\":{\"type\":\"value\",\"value\":\"orange\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.1}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p1307\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"confidence when correct\"},\"y\":{\"type\":\"field\",\"field\":\"confidence when incorrect\"},\"line_color\":{\"type\":\"value\",\"value\":\"orange\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"orange\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_color\":{\"type\":\"value\",\"value\":\"orange\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1258\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1273\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1274\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1275\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1276\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1281\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1282\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p1283\"},{\"type\":\"object\",\"name\":\"HoverTool\",\"id\":\"p1284\",\"attributes\":{\"renderers\":\"auto\",\"tooltips\":[[\"p-number\",\"@{participant number}\"],[\"gender\",\"@gender\"],[\"age\",\"@age\"]]}}]}},\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1268\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1269\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1270\"},\"axis_label\":\"confidence when incorrect\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1271\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1263\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1264\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1265\"},\"axis_label\":\"confidence when correct\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1266\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1267\",\"attributes\":{\"axis\":{\"id\":\"p1263\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1272\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1268\"}}},{\"type\":\"object\",\"name\":\"Legend\",\"id\":\"p1297\",\"attributes\":{\"location\":\"top_left\",\"click_policy\":\"hide\",\"items\":[{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1298\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"normal sleepers\"},\"renderers\":[{\"id\":\"p1294\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1311\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"insomniacs\"},\"renderers\":[{\"id\":\"p1308\"}]}}]}}],\"frame_width\":300,\"frame_height\":300,\"output_backend\":\"svg\"}}]}};\n",
+       "  const render_items = [{\"docid\":\"68e36ed8-a7b2-4c05-8013-ea4b2e176d89\",\"roots\":{\"p1250\":\"fb579391-9d80-473e-876a-ee3d4c96a6cc\"},\"root_ids\":[\"p1250\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
diff --git a/2024/_sources/lessons/l19_high_level_plotting.ipynb.txt b/2024/_sources/lessons/l19_high_level_plotting.ipynb.txt
index 6d387786..06d8888d 100644
--- a/2024/_sources/lessons/l19_high_level_plotting.ipynb.txt
+++ b/2024/_sources/lessons/l19_high_level_plotting.ipynb.txt
@@ -27,7 +27,7 @@
        "    </style>\n",
        "    <div>\n",
        "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-notebook-logo\"></a>\n",
-       "        <span id=\"a34095f4-bb7f-4eec-8850-6713252b423a\">Loading BokehJS ...</span>\n",
+       "        <span id=\"e7f5a0af-e907-4b8c-a916-397274583f6c\">Loading BokehJS ...</span>\n",
        "    </div>\n"
       ]
      },
@@ -200,7 +200,7 @@
        "     \"</div>\"}};\n",
        "\n",
        "  function display_loaded(error = null) {\n",
-       "    const el = document.getElementById(\"a34095f4-bb7f-4eec-8850-6713252b423a\");\n",
+       "    const el = document.getElementById(\"e7f5a0af-e907-4b8c-a916-397274583f6c\");\n",
        "    if (el != null) {\n",
        "      const html = (() => {\n",
        "        if (typeof root.Bokeh === \"undefined\") {\n",
@@ -334,7 +334,7 @@
        "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
        "      root._bokeh_failed_load = true;\n",
        "    } else if (force !== true) {\n",
-       "      const cell = $(document.getElementById(\"a34095f4-bb7f-4eec-8850-6713252b423a\")).parents('.cell').data().cell;\n",
+       "      const cell = $(document.getElementById(\"e7f5a0af-e907-4b8c-a916-397274583f6c\")).parents('.cell').data().cell;\n",
        "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
        "    }\n",
        "  }\n",
@@ -350,7 +350,7 @@
        "  }\n",
        "}(window));"
       ],
-      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"a34095f4-bb7f-4eec-8850-6713252b423a\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"a34095f4-bb7f-4eec-8850-6713252b423a\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
+      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"e7f5a0af-e907-4b8c-a916-397274583f6c\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"e7f5a0af-e907-4b8c-a916-397274583f6c\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -728,7 +728,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"ca21fa4c-2d74-445d-a96a-b5116e442c28\" data-root-id=\"p1001\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"fb7403c2-0fa0-4204-a6dd-899340c9314d\" data-root-id=\"p1001\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -739,8 +739,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"8435dca7-0b61-4df4-81f0-594868e2a7c7\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1001\",\"attributes\":{\"x_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1003\",\"attributes\":{\"start\":0}},\"y_range\":{\"type\":\"object\",\"name\":\"FactorRange\",\"id\":\"p1010\",\"attributes\":{\"factors\":[\"IV\",\"III\",\"II\",\"I\"]}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1011\"},\"y_scale\":{\"type\":\"object\",\"name\":\"CategoricalScale\",\"id\":\"p1012\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1008\"},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1036\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1027\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1028\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1029\"},\"data\":{\"type\":\"map\",\"entries\":[[\"index\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAAEAAAACAAAAAwAAAA==\"},\"shape\":[4],\"dtype\":\"int32\",\"order\":\"little\"}],[\"ID\",{\"type\":\"ndarray\",\"array\":[\"I\",\"II\",\"III\",\"IV\"],\"shape\":[4],\"dtype\":\"object\",\"order\":\"little\"}],[\"impact force (mN)\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"zczMzMzol0DNzMzMzBqGQM3MzMzMMIFAmpmZmZkxekA=\"},\"shape\":[4],\"dtype\":\"float64\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1037\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1038\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"HBar\",\"id\":\"p1033\",\"attributes\":{\"y\":{\"type\":\"field\",\"field\":\"ID\"},\"height\":{\"type\":\"value\",\"value\":0.6},\"right\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"HBar\",\"id\":\"p1034\",\"attributes\":{\"y\":{\"type\":\"field\",\"field\":\"ID\"},\"height\":{\"type\":\"value\",\"value\":0.6},\"right\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.1},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.1}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"HBar\",\"id\":\"p1035\",\"attributes\":{\"y\":{\"type\":\"field\",\"field\":\"ID\"},\"height\":{\"type\":\"value\",\"value\":0.6},\"right\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1009\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1023\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1024\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1025\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1026\"}]}},\"left\":[{\"type\":\"object\",\"name\":\"CategoricalAxis\",\"id\":\"p1018\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"CategoricalTicker\",\"id\":\"p1019\"},\"formatter\":{\"type\":\"object\",\"name\":\"CategoricalTickFormatter\",\"id\":\"p1020\"},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1021\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1013\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1014\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1015\"},\"axis_label\":\"impact force (mN)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1016\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1017\",\"attributes\":{\"axis\":{\"id\":\"p1013\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1022\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1018\"},\"grid_line_color\":null}}],\"frame_width\":400,\"frame_height\":200}}]}};\n",
-       "  const render_items = [{\"docid\":\"8435dca7-0b61-4df4-81f0-594868e2a7c7\",\"roots\":{\"p1001\":\"ca21fa4c-2d74-445d-a96a-b5116e442c28\"},\"root_ids\":[\"p1001\"]}];\n",
+       "  const docs_json = {\"ceabee29-198d-451f-af78-3daafd60627e\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1001\",\"attributes\":{\"x_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1003\",\"attributes\":{\"start\":0}},\"y_range\":{\"type\":\"object\",\"name\":\"FactorRange\",\"id\":\"p1010\",\"attributes\":{\"factors\":[\"IV\",\"III\",\"II\",\"I\"]}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1011\"},\"y_scale\":{\"type\":\"object\",\"name\":\"CategoricalScale\",\"id\":\"p1012\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1008\"},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1036\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1027\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1028\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1029\"},\"data\":{\"type\":\"map\",\"entries\":[[\"index\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAAEAAAACAAAAAwAAAA==\"},\"shape\":[4],\"dtype\":\"int32\",\"order\":\"little\"}],[\"ID\",{\"type\":\"ndarray\",\"array\":[\"I\",\"II\",\"III\",\"IV\"],\"shape\":[4],\"dtype\":\"object\",\"order\":\"little\"}],[\"impact force (mN)\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"zczMzMzol0DNzMzMzBqGQM3MzMzMMIFAmpmZmZkxekA=\"},\"shape\":[4],\"dtype\":\"float64\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1037\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1038\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"HBar\",\"id\":\"p1033\",\"attributes\":{\"y\":{\"type\":\"field\",\"field\":\"ID\"},\"height\":{\"type\":\"value\",\"value\":0.6},\"right\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"HBar\",\"id\":\"p1034\",\"attributes\":{\"y\":{\"type\":\"field\",\"field\":\"ID\"},\"height\":{\"type\":\"value\",\"value\":0.6},\"right\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.1},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.1}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"HBar\",\"id\":\"p1035\",\"attributes\":{\"y\":{\"type\":\"field\",\"field\":\"ID\"},\"height\":{\"type\":\"value\",\"value\":0.6},\"right\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1009\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1023\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1024\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1025\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1026\"}]}},\"left\":[{\"type\":\"object\",\"name\":\"CategoricalAxis\",\"id\":\"p1018\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"CategoricalTicker\",\"id\":\"p1019\"},\"formatter\":{\"type\":\"object\",\"name\":\"CategoricalTickFormatter\",\"id\":\"p1020\"},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1021\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1013\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1014\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1015\"},\"axis_label\":\"impact force (mN)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1016\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1017\",\"attributes\":{\"axis\":{\"id\":\"p1013\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1022\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1018\"},\"grid_line_color\":null}}],\"frame_width\":400,\"frame_height\":200}}]}};\n",
+       "  const render_items = [{\"docid\":\"ceabee29-198d-451f-af78-3daafd60627e\",\"roots\":{\"p1001\":\"fb7403c2-0fa0-4204-a6dd-899340c9314d\"},\"root_ids\":[\"p1001\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -807,7 +807,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"c0769838-b794-4e84-8791-9eba4ae779a4\" data-root-id=\"p1041\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"d89fb939-35da-4fbe-bd0b-8b620c12f713\" data-root-id=\"p1041\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -818,8 +818,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"2d16c1e1-e237-44e0-803a-bdd58f823972\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1041\",\"attributes\":{\"x_range\":{\"type\":\"object\",\"name\":\"FactorRange\",\"id\":\"p1050\",\"attributes\":{\"factors\":[\"I\",\"II\",\"III\",\"IV\"]}},\"y_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1043\",\"attributes\":{\"start\":0}},\"x_scale\":{\"type\":\"object\",\"name\":\"CategoricalScale\",\"id\":\"p1051\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1052\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1048\"},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1080\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1027\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1028\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1029\"},\"data\":{\"type\":\"map\",\"entries\":[[\"index\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAAEAAAACAAAAAwAAAA==\"},\"shape\":[4],\"dtype\":\"int32\",\"order\":\"little\"}],[\"ID\",{\"type\":\"ndarray\",\"array\":[\"I\",\"II\",\"III\",\"IV\"],\"shape\":[4],\"dtype\":\"object\",\"order\":\"little\"}],[\"impact force (mN)\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"zczMzMzol0DNzMzMzBqGQM3MzMzMMIFAmpmZmZkxekA=\"},\"shape\":[4],\"dtype\":\"float64\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1081\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1082\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"VBar\",\"id\":\"p1077\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"ID\"},\"width\":{\"type\":\"value\",\"value\":0.6},\"top\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"VBar\",\"id\":\"p1078\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"ID\"},\"width\":{\"type\":\"value\",\"value\":0.6},\"top\":{\"type\":\"field\",\"field\":\"impact force 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(mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1049\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1063\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1064\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1065\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1066\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1071\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1072\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p1073\"}]}},\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1058\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1059\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1060\"},\"axis_label\":\"impact force (mN)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1061\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"CategoricalAxis\",\"id\":\"p1053\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"CategoricalTicker\",\"id\":\"p1054\"},\"formatter\":{\"type\":\"object\",\"name\":\"CategoricalTickFormatter\",\"id\":\"p1055\"},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1056\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1057\",\"attributes\":{\"axis\":{\"id\":\"p1053\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1062\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1058\"}}}],\"frame_width\":250,\"frame_height\":250}}]}};\n",
-       "  const render_items = [{\"docid\":\"2d16c1e1-e237-44e0-803a-bdd58f823972\",\"roots\":{\"p1041\":\"c0769838-b794-4e84-8791-9eba4ae779a4\"},\"root_ids\":[\"p1041\"]}];\n",
+       "  const docs_json = {\"9e8c03be-4cf5-4112-a975-2554b8f8c9c3\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1041\",\"attributes\":{\"x_range\":{\"type\":\"object\",\"name\":\"FactorRange\",\"id\":\"p1050\",\"attributes\":{\"factors\":[\"I\",\"II\",\"III\",\"IV\"]}},\"y_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1043\",\"attributes\":{\"start\":0}},\"x_scale\":{\"type\":\"object\",\"name\":\"CategoricalScale\",\"id\":\"p1051\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1052\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1048\"},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1080\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1027\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1028\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1029\"},\"data\":{\"type\":\"map\",\"entries\":[[\"index\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAAEAAAACAAAAAwAAAA==\"},\"shape\":[4],\"dtype\":\"int32\",\"order\":\"little\"}],[\"ID\",{\"type\":\"ndarray\",\"array\":[\"I\",\"II\",\"III\",\"IV\"],\"shape\":[4],\"dtype\":\"object\",\"order\":\"little\"}],[\"impact force (mN)\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"zczMzMzol0DNzMzMzBqGQM3MzMzMMIFAmpmZmZkxekA=\"},\"shape\":[4],\"dtype\":\"float64\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1081\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1082\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"VBar\",\"id\":\"p1077\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"ID\"},\"width\":{\"type\":\"value\",\"value\":0.6},\"top\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"VBar\",\"id\":\"p1078\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"ID\"},\"width\":{\"type\":\"value\",\"value\":0.6},\"top\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.1},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.1}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"VBar\",\"id\":\"p1079\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"ID\"},\"width\":{\"type\":\"value\",\"value\":0.6},\"top\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1049\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1063\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1064\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1065\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1066\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1071\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1072\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p1073\"}]}},\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1058\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1059\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1060\"},\"axis_label\":\"impact force (mN)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1061\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"CategoricalAxis\",\"id\":\"p1053\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"CategoricalTicker\",\"id\":\"p1054\"},\"formatter\":{\"type\":\"object\",\"name\":\"CategoricalTickFormatter\",\"id\":\"p1055\"},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1056\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1057\",\"attributes\":{\"axis\":{\"id\":\"p1053\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1062\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1058\"}}}],\"frame_width\":250,\"frame_height\":250}}]}};\n",
+       "  const render_items = [{\"docid\":\"9e8c03be-4cf5-4112-a975-2554b8f8c9c3\",\"roots\":{\"p1041\":\"d89fb939-35da-4fbe-bd0b-8b620c12f713\"},\"root_ids\":[\"p1041\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -931,7 +931,7 @@
      "data": {
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+       "  const render_items = [{\"docid\":\"a47c77a8-016c-48d5-b224-47e2bf8302b6\",\"roots\":{\"p1086\":\"d721d1f0-7d5f-4da3-a416-c981415ebb13\"},\"root_ids\":[\"p1086\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1029,7 +1029,7 @@
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+       "  const render_items = [{\"docid\":\"f60981b0-bfe0-4373-bdd1-8cb0330aae9c\",\"roots\":{\"p1173\":\"b051a12d-0106-4579-b545-b95a9b896488\"},\"root_ids\":[\"p1173\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1108,7 +1108,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"ff8aed1e-7921-4b65-925a-26d1ce1e06a2\" data-root-id=\"p1220\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"e027080f-d490-4acd-b204-7fad8379edf7\" data-root-id=\"p1220\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1119,8 +1119,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"eb8df920-095a-4d70-be22-8b0471903ef9\",\"roots\":{\"p1220\":\"e027080f-d490-4acd-b204-7fad8379edf7\"},\"root_ids\":[\"p1220\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1180,7 +1180,7 @@
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        "\n",
-       "  <div id=\"c0909a27-065b-4b39-bc6a-781bba895e2e\" data-root-id=\"p1331\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"dcf4ca8e-cd8c-4b33-bee0-6275051959a9\" data-root-id=\"p1331\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
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        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"49f1a71b-e78d-4d59-bc98-e2fb0508bab7\",\"roots\":{\"p1331\":\"dcf4ca8e-cd8c-4b33-bee0-6275051959a9\"},\"root_ids\":[\"p1331\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1252,7 +1252,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"c9564c58-92b5-4c3e-86ab-70dc3af2e255\" data-root-id=\"p1860\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"aa3c1ae4-6b86-450a-babb-11b7afa5f826\" data-root-id=\"p1860\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1263,8 +1263,8 @@
       "application/javascript": [
        "(function(root) {\n",
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+       "  const render_items = [{\"docid\":\"5201a519-5ae6-4bf9-b841-aa7fae88b38a\",\"roots\":{\"p1860\":\"aa3c1ae4-6b86-450a-babb-11b7afa5f826\"},\"root_ids\":[\"p1860\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1333,7 +1333,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"e2180afc-b8b8-4e55-bd69-da0eb8270754\" data-root-id=\"p1988\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"b87edc9d-78a0-4ed7-b55c-9be7531bf6ec\" data-root-id=\"p1988\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1344,8 +1344,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"e0afa285-0f0f-437a-9cad-ea7b105e172b\":{\"version\":\"3.4.1\",\"title\":\"Bokeh 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-       "  const render_items = [{\"docid\":\"e0afa285-0f0f-437a-9cad-ea7b105e172b\",\"roots\":{\"p1988\":\"e2180afc-b8b8-4e55-bd69-da0eb8270754\"},\"root_ids\":[\"p1988\"]}];\n",
+       "  const docs_json = {\"00431045-da0a-4851-9900-60137225bfd1\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1988\",\"attributes\":{\"x_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1990\"},\"y_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1987\",\"attributes\":{\"start\":0}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1997\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1998\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1995\"},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p2029\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p2020\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p2021\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p2022\"},\"data\":{\"type\":\"map\",\"entries\":[[\"index\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAAEAAAACAAAAAwAAAAQAAAAFAAAABgAAAAcAAAAIAAAACQAAAAoAAAALAAAADAAAAA0AAAAOAAAADwAAAA==\"},\"shape\":[16],\"dtype\":\"int32\",\"order\":\"little\"}],[\"psqi\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"BAAAAAUAAAABAAAAAgAAAAcAAAADAAAACAAAAAYAAAAJAAAADQAAAAsAAAAMAAAACgAAAA4AAAAPAAAAAAAAAA==\"},\"shape\":[16],\"dtype\":\"int32\",\"order\":\"little\"}],[\"__count\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"DgAAAAwAAAAMAAAADAAAAAoAAAAKAAAABwAAAAcAAAAGAAAAAwAAAAIAAAACAAAAAgAAAAEAAAABAAAAAQAAAA==\"},\"shape\":[16],\"dtype\":\"int32\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p2030\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p2031\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Segment\",\"id\":\"p2026\",\"attributes\":{\"x0\":{\"type\":\"field\",\"field\":\"psqi\"},\"y0\":{\"type\":\"value\",\"value\":0},\"x1\":{\"type\":\"field\",\"field\":\"psqi\"},\"y1\":{\"type\":\"field\",\"field\":\"__count\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_width\":{\"type\":\"value\",\"value\":2}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Segment\",\"id\":\"p2027\",\"attributes\":{\"x0\":{\"type\":\"field\",\"field\":\"psqi\"},\"y0\":{\"type\":\"value\",\"value\":0},\"x1\":{\"type\":\"field\",\"field\":\"psqi\"},\"y1\":{\"type\":\"field\",\"field\":\"__count\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"line_width\":{\"type\":\"value\",\"value\":2}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Segment\",\"id\":\"p2028\",\"attributes\":{\"x0\":{\"type\":\"field\",\"field\":\"psqi\"},\"y0\":{\"type\":\"value\",\"value\":0},\"x1\":{\"type\":\"field\",\"field\":\"psqi\"},\"y1\":{\"type\":\"field\",\"field\":\"__count\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"line_width\":{\"type\":\"value\",\"value\":2}}}}},{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p2041\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p2032\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p2033\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p2034\"},\"data\":{\"type\":\"map\",\"entries\":[[\"index\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAAEAAAACAAAAAwAAAAQAAAAFAAAABgAAAAcAAAAIAAAACQAAAAoAAAALAAAADAAAAA0AAAAOAAAADwAAAA==\"},\"shape\":[16],\"dtype\":\"int32\",\"order\":\"little\"}],[\"psqi\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"BAAAAAUAAAABAAAAAgAAAAcAAAADAAAACAAAAAYAAAAJAAAADQAAAAsAAAAMAAAACgAAAA4AAAAPAAAAAAAAAA==\"},\"shape\":[16],\"dtype\":\"int32\",\"order\":\"little\"}],[\"__count\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"DgAAAAwAAAAMAAAADAAAAAoAAAAKAAAABwAAAAcAAAAGAAAAAwAAAAIAAAACAAAAAgAAAAEAAAABAAAAAQAAAA==\"},\"shape\":[16],\"dtype\":\"int32\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p2042\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p2043\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p2038\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"psqi\"},\"y\":{\"type\":\"field\",\"field\":\"__count\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p2039\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"psqi\"},\"y\":{\"type\":\"field\",\"field\":\"__count\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"fill_alpha\":{\"type\":\"val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+       "  const render_items = [{\"docid\":\"00431045-da0a-4851-9900-60137225bfd1\",\"roots\":{\"p1988\":\"b87edc9d-78a0-4ed7-b55c-9be7531bf6ec\"},\"root_ids\":[\"p1988\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1404,7 +1404,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"abad916e-e817-4aac-9710-3709f6b1a91f\" data-root-id=\"p2051\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"e2e258d3-59f7-4a26-8973-28adb947ca9b\" data-root-id=\"p2051\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1415,8 +1415,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"d9788983-3fd7-465a-b691-d8efb50af1a9\":{\"version\":\"3.4.1\",\"title\":\"Bokeh 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object\",\"name\":\"Grid\",\"id\":\"p2066\",\"attributes\":{\"axis\":{\"id\":\"p2062\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2071\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p2067\"}}}],\"frame_width\":375,\"frame_height\":275}}]}};\n",
-       "  const render_items = [{\"docid\":\"d9788983-3fd7-465a-b691-d8efb50af1a9\",\"roots\":{\"p2051\":\"abad916e-e817-4aac-9710-3709f6b1a91f\"},\"root_ids\":[\"p2051\"]}];\n",
+       "  const docs_json = {\"aece0e77-8e81-46cb-813e-24be9ae0cda1\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p2051\",\"attributes\":{\"x_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p2053\"},\"y_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p2050\",\"attributes\":{\"start\":0}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p2060\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p2061\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p2058\"},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p2089\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p2083\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p2084\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p2085\"},\"data\":{\"type\":\"map\",\"entries\":[[\"x\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"4D20Y8ElDcDgPbRjwSUNwDWMimLVxArANYyKYtXECsCL2mBh6WMIwIvaYGHpYwjA4Cg3YP0CBsDgKDdg/QIGwDZ3DV8RogPANncNXxGiA8CLxeNdJUEBwIvF410lQQHAwCd0uXLA/b/AJ3S5csD9v2zEILea/vi/bMQgt5r++L8WYc20wjz0vxZhzbTCPPS/gPvzZNX17r+A+/Nk1fXuv9g0TWAlcuW/2DRNYCVy5b9Y3Ey36tzXv1jcTLfq3Ne/ADz9typWs78APP23Klazv6B8nLaqY8w/oHyctqpjzD/Q5U2ympzgP9DlTbKanOA/gKz0tkog6j+ArPS2SiDqP5S5zV390fE/lLnNXf3R8T/oHCFg1ZP2P+gcIWDVk/Y/QIB0Yq1V+z9AgHRirVX7P8rxY7LCCwBAyvFjssILAEB0o42zrmwCQHSjjbOubAJAIFW3tJrNBEAgVbe0ms0EQA==\"},\"shape\":[44],\"dtype\":\"float64\",\"order\":\"little\"}],[\"y\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAAAAAAAAAAAAAADwPwAAAAAAAPA/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAFEAAAAAAAAAUQAAAAAAAAAhAAAAAAAAACEAAAAAAAAAuQAAAAAAAAC5AAAAAAAAALkAAAAAAAAAuQAAAAAAAAEFAAAAAAAAAQUAAAAAAAABAQAAAAAAAAEBAAAAAAAAASkAAAAAAAABKQAAAAAAAQFFAAAAAAABAUUAAAAAAAEBQQAAAAAAAQFBAAAAAAACAT0AAAAAAAIBPQAAAAAAAAEtAAAAAAAAAS0AAAAAAAABBQAAAAAAAAEFAAAAAAAAAN0AAAAAAAAA3QAAAAAAAACZAAAAAAAAAJkAAAAAAAAAiQAAAAAAAACJAAAAAAAAAIEAAAAAAAAAgQAAAAAAAABRAAAAAAAAAFEAAAAAAAAAAAA==\"},\"shape\":[44],\"dtype\":\"float64\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p2090\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p2091\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p2086\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#1f77b3\",\"line_width\":2}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p2087\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#1f77b3\",\"line_alpha\":0.1,\"line_width\":2}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p2088\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#1f77b3\",\"line_alpha\":0.2,\"line_width\":2}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p2059\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p2072\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p2073\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p2074\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p2075\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p2080\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p2081\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p2082\"}]}},\"toolbar_location\":\"above\",\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2067\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2068\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2069\"},\"axis_label\":\"count\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2070\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2062\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2063\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2064\"},\"axis_label\":\"x\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2065\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2066\",\"attributes\":{\"axis\":{\"id\":\"p2062\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2071\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p2067\"}}}],\"frame_width\":375,\"frame_height\":275}}]}};\n",
+       "  const render_items = [{\"docid\":\"aece0e77-8e81-46cb-813e-24be9ae0cda1\",\"roots\":{\"p2051\":\"e2e258d3-59f7-4a26-8973-28adb947ca9b\"},\"root_ids\":[\"p2051\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1499,7 +1499,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"cf0213ba-1c9b-46c3-b27d-d875faa7d58e\" data-root-id=\"p2094\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"c1c032b4-ba0e-4812-9ae8-2a7d5d09ec2a\" data-root-id=\"p2094\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1510,8 +1510,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"afcdd299-2de0-4dc4-92ab-bf9b5efca58c\":{\"version\":\"3.4.1\",\"title\":\"Bokeh 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"value\",\"value\":\"#1f77b3\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"line_width\":{\"type\":\"value\",\"value\":2}}}}},{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p2150\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p2144\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p2145\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p2146\"},\"data\":{\"type\":\"map\"}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p2151\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p2152\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Ray\",\"id\":\"p2147\",\"attributes\":{\"x\":{\"type\":\"value\",\"value\":2.600392734379639},\"y\":{\"type\":\"value\",\"value\":1},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_width\":{\"type\":\"value\",\"value\":2}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Ray\",\"id\":\"p2148\",\"attributes\":{\"x\":{\"type\":\"value\",\"value\":2.600392734379639},\"y\":{\"type\":\"value\",\"value\":1},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"line_width\":{\"type\":\"value\",\"value\":2}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Ray\",\"id\":\"p2149\",\"attributes\":{\"x\":{\"type\":\"value\",\"value\":2.600392734379639},\"y\":{\"type\":\"value\",\"value\":1},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"line_width\":{\"type\":\"value\",\"value\":2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p2102\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p2115\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p2116\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p2117\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p2118\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p2123\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p2124\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p2125\"}]}},\"toolbar_location\":\"above\",\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2110\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2111\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2112\"},\"axis_label\":\"ECDF\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2113\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2105\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2106\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2107\"},\"axis_label\":\"x\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2108\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2109\",\"attributes\":{\"axis\":{\"id\":\"p2105\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2114\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p2110\"}}}],\"frame_width\":375,\"frame_height\":275}}]}};\n",
-       "  const render_items = [{\"docid\":\"afcdd299-2de0-4dc4-92ab-bf9b5efca58c\",\"roots\":{\"p2094\":\"cf0213ba-1c9b-46c3-b27d-d875faa7d58e\"},\"root_ids\":[\"p2094\"]}];\n",
+       "  const docs_json = {\"edc6d903-fea2-41d3-842f-1880491671c9\":{\"version\":\"3.4.1\",\"title\":\"Bokeh 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+       "  const render_items = [{\"docid\":\"edc6d903-fea2-41d3-842f-1880491671c9\",\"roots\":{\"p2094\":\"c1c032b4-ba0e-4812-9ae8-2a7d5d09ec2a\"},\"root_ids\":[\"p2094\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1565,7 +1565,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"d9f13023-3bd2-4da7-ba27-5d11d01f217e\" data-root-id=\"p2155\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"fd71feef-dde9-4559-a5d6-9b840373db89\" data-root-id=\"p2155\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1576,8 +1576,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"fbded40e-4587-404d-868e-4635bc4951d4\",\"roots\":{\"p2155\":\"fd71feef-dde9-4559-a5d6-9b840373db89\"},\"root_ids\":[\"p2155\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1635,7 +1635,7 @@
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+       "  <div id=\"aecc0db4-7004-4768-950e-da8a88ed9195\" data-root-id=\"p2308\" style=\"display: contents;\"></div>\n"
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      "metadata": {},
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+       "  const render_items = [{\"docid\":\"a5854c21-bd15-404a-bf1c-4bc592d59e9d\",\"roots\":{\"p2308\":\"aecc0db4-7004-4768-950e-da8a88ed9195\"},\"root_ids\":[\"p2308\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1706,7 +1706,7 @@
      "data": {
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        "\n",
-       "  <div id=\"b6e91ab2-4ccb-4b90-ab96-0e9906662270\" data-root-id=\"p2308\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"ce098cf6-8c54-4d4a-a088-99f23d968344\" data-root-id=\"p2308\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1717,8 +1717,8 @@
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        "(function(root) {\n",
        "  function embed_document(root) {\n",
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force (mN)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2322\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2323\",\"attributes\":{\"axis\":{\"id\":\"p2319\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2328\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p2324\"}}}],\"frame_width\":375,\"frame_height\":275}}]}};\n",
+       "  const render_items = [{\"docid\":\"048f1c08-d08f-48a8-b700-3d29b91e58e3\",\"roots\":{\"p2308\":\"ce098cf6-8c54-4d4a-a088-99f23d968344\"},\"root_ids\":[\"p2308\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
diff --git a/2024/_sources/lessons/l20_styling_bokeh.ipynb.txt b/2024/_sources/lessons/l20_styling_bokeh.ipynb.txt
index 4cf5882f..4ddb5d5c 100644
--- a/2024/_sources/lessons/l20_styling_bokeh.ipynb.txt
+++ b/2024/_sources/lessons/l20_styling_bokeh.ipynb.txt
@@ -27,7 +27,7 @@
        "    </style>\n",
        "    <div>\n",
        "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-notebook-logo\"></a>\n",
-       "        <span id=\"ee6b9d26-3444-4683-9acc-67d0d286edd7\">Loading BokehJS ...</span>\n",
+       "        <span id=\"e7407e54-5d8d-4b8f-8ccb-4d803c4e290b\">Loading BokehJS ...</span>\n",
        "    </div>\n"
       ]
      },
@@ -200,7 +200,7 @@
        "     \"</div>\"}};\n",
        "\n",
        "  function display_loaded(error = null) {\n",
-       "    const el = document.getElementById(\"ee6b9d26-3444-4683-9acc-67d0d286edd7\");\n",
+       "    const el = document.getElementById(\"e7407e54-5d8d-4b8f-8ccb-4d803c4e290b\");\n",
        "    if (el != null) {\n",
        "      const html = (() => {\n",
        "        if (typeof root.Bokeh === \"undefined\") {\n",
@@ -334,7 +334,7 @@
        "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
        "      root._bokeh_failed_load = true;\n",
        "    } else if (force !== true) {\n",
-       "      const cell = $(document.getElementById(\"ee6b9d26-3444-4683-9acc-67d0d286edd7\")).parents('.cell').data().cell;\n",
+       "      const cell = $(document.getElementById(\"e7407e54-5d8d-4b8f-8ccb-4d803c4e290b\")).parents('.cell').data().cell;\n",
        "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
        "    }\n",
        "  }\n",
@@ -350,7 +350,7 @@
        "  }\n",
        "}(window));"
       ],
-      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"ee6b9d26-3444-4683-9acc-67d0d286edd7\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"ee6b9d26-3444-4683-9acc-67d0d286edd7\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
+      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"e7407e54-5d8d-4b8f-8ccb-4d803c4e290b\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"e7407e54-5d8d-4b8f-8ccb-4d803c4e290b\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -432,7 +432,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"ee062076-2262-4f2e-b237-7a663b6da9df\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"aa8d791f-a621-4af3-aa7a-0e2a1b3546c9\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -443,8 +443,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"808f4846-a1cc-47e7-b4ed-64f55907862c\",\"roots\":{\"p1002\":\"aa8d791f-a621-4af3-aa7a-0e2a1b3546c9\"},\"root_ids\":[\"p1002\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -503,7 +503,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"c5d0a9a6-ec2f-4fd9-a649-b29b0574458f\" data-root-id=\"p1089\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"da455536-4e98-402a-8053-88264e3ebb32\" data-root-id=\"p1089\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -514,8 +514,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"aa980df7-c71f-4fb1-9ef7-c7e00e823ff5\",\"roots\":{\"p1089\":\"da455536-4e98-402a-8053-88264e3ebb32\"},\"root_ids\":[\"p1089\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -579,7 +579,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"ab6b79cf-6f4d-43ce-869d-a4da297fadaa\" data-root-id=\"p1191\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"fc359224-bbc0-4d13-8b74-4b07095e4fb7\" data-root-id=\"p1191\" style=\"display: contents;\"></div>\n"
       ]
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      "metadata": {},
@@ -590,8 +590,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"44ec0a4b-6a5b-4172-a034-4c5fb08a8a0d\",\"roots\":{\"p1191\":\"fc359224-bbc0-4d13-8b74-4b07095e4fb7\"},\"root_ids\":[\"p1191\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -651,7 +651,7 @@
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+       "  <div id=\"a22a06ec-475a-4d3d-9473-bfe2de74cb26\" data-root-id=\"p1238\" style=\"display: contents;\"></div>\n"
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        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"f7ec283d-180c-48ee-99ed-3244175844aa\",\"roots\":{\"p1238\":\"a22a06ec-475a-4d3d-9473-bfe2de74cb26\"},\"root_ids\":[\"p1238\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -728,7 +728,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"c035a9bf-24c3-4061-b294-f23253bb3978\" data-root-id=\"p1287\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"bbcf4d61-95aa-4da4-8739-5cd2d25f2b35\" data-root-id=\"p1287\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -739,8 +739,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"13d1671e-8d06-46e8-b34a-2208bbe1f612\",\"roots\":{\"p1287\":\"bbcf4d61-95aa-4da4-8739-5cd2d25f2b35\"},\"root_ids\":[\"p1287\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -805,7 +805,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"c99f608e-fecc-4698-be79-056accd0cadf\" data-root-id=\"p1335\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"f48d507b-6875-42d0-b611-076b17aea28f\" data-root-id=\"p1335\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -816,8 +816,8 @@
       "application/javascript": [
        "(function(root) {\n",
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(mN)\"},\"y\":{\"type\":\"field\",\"field\":\"cat\"},\"line_color\":{\"type\":\"value\",\"value\":\"#d62628\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"#d62628\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_color\":{\"type\":\"value\",\"value\":\"#d62628\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}},{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1424\",\"attributes\":{\"name\":\"hover_glyphs\",\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1415\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1416\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1417\"},\"data\":{\"type\":\"map\",\"entries\":[[\"index\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"DgAAABMAAAA=\"},\"shape\":[2],\"dtype\":\"int32\",\"order\":\"little\"}],[\"ID\",{\"type\":\"ndarray\",\"array\":[\"I\",\"I\"],\"shape\":[2],\"dtype\":\"object\",\"order\":\"little\"}],[\"trial number\",{\"type\":\"ndarray\",\"array\":[\"5\",\"5\"],\"shape\":[2],\"dtype\":\"object\",\"order\":\"little\"}],[\"impact force (mN)\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"BwYAANkBAAA=\"},\"shape\":[2],\"dtype\":\"int32\",\"order\":\"little\"}],[\"cat\",{\"type\":\"ndarray\",\"array\":[[\"I\",\"5\"],[\"I\",\"5\"]],\"shape\":[2],\"dtype\":\"object\",\"order\":\"little\"}],[\"__label\",{\"type\":\"ndarray\",\"array\":[\"5\",\"5\"],\"shape\":[2],\"dtype\":\"object\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1425\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1426\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p1421\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"y\":{\"type\":\"field\",\"field\":\"cat\"},\"line_color\":{\"type\":\"value\",\"value\":\"#9367bc\"},\"fill_color\":{\"type\":\"value\",\"value\":\"#9367bc\"},\"hatch_color\":{\"type\":\"value\",\"value\":\"#9367bc\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p1422\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"y\":{\"type\":\"field\",\"field\":\"cat\"},\"line_color\":{\"type\":\"value\",\"value\":\"#9367bc\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"fill_color\":{\"type\":\"value\",\"value\":\"#9367bc\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.1},\"hatch_color\":{\"type\":\"value\",\"value\":\"#9367bc\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.1}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p1423\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"y\":{\"type\":\"field\",\"field\":\"cat\"},\"line_color\":{\"type\":\"value\",\"value\":\"#9367bc\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"#9367bc\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_color\":{\"type\":\"value\",\"value\":\"#9367bc\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1343\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1356\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1357\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1358\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1359\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1364\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1365\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p1366\"}]}},\"toolbar_location\":\"above\",\"left\":[{\"type\":\"object\",\"name\":\"CategoricalAxis\",\"id\":\"p1351\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"CategoricalTicker\",\"id\":\"p1352\"},\"formatter\":{\"type\":\"object\",\"name\":\"CategoricalTickFormatter\",\"id\":\"p1353\"},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1354\"}}}],\"right\":[{\"type\":\"object\",\"name\":\"Legend\",\"id\":\"p1427\",\"attributes\":{\"location\":\"center\",\"title\":\"trial number\",\"click_policy\":\"hide\",\"items\":[{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1428\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"1\"},\"renderers\":[{\"id\":\"p1376\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1429\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"2\"},\"renderers\":[{\"id\":\"p1388\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1430\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"3\"},\"renderers\":[{\"id\":\"p1400\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1431\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"4\"},\"renderers\":[{\"id\":\"p1412\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1432\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"5\"},\"renderers\":[{\"id\":\"p1424\"}]}}]}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1346\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1347\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1348\"},\"axis_label\":\"impact force (mN)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1349\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1350\",\"attributes\":{\"axis\":{\"id\":\"p1346\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1355\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1351\"},\"grid_line_color\":null}}],\"frame_height\":275}}]}};\n",
+       "  const render_items = [{\"docid\":\"3dd5f76f-cd51-4a38-a749-e8a819b798ad\",\"roots\":{\"p1335\":\"f48d507b-6875-42d0-b611-076b17aea28f\"},\"root_ids\":[\"p1335\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -879,7 +879,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"d4bddedd-5bc5-43c5-b00b-2ba30d463720\" data-root-id=\"p1444\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"bae28590-515f-4f1b-93f6-d4dec18ae97e\" data-root-id=\"p1444\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -890,8 +890,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"55dcb6dd-e817-47b3-9760-df7a348667ad\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1444\",\"attributes\":{\"x_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1446\"},\"y_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1443\",\"attributes\":{\"start\":0}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1453\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1454\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1451\"},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1482\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1476\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1477\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1478\"},\"data\":{\"type\":\"map\",\"entries\":[[\"x\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[102],\"dtype\":\"float64\",\"order\":\"little\"}],[\"y\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[102],\"dtype\":\"float64\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1483\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1484\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1479\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#1f77b3\",\"line_width\":2}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1480\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#1f77b3\",\"line_alpha\":0.1,\"line_width\":2}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1481\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#1f77b3\",\"line_alpha\":0.2,\"line_width\":2}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1452\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1465\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1466\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1467\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1468\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1473\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1474\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p1475\"}]}},\"toolbar_location\":\"above\",\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1460\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1461\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1462\"},\"axis_label\":\"density\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1463\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1455\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1456\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1457\"},\"axis_label\":\"x\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1458\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1459\",\"attributes\":{\"axis\":{\"id\":\"p1455\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1464\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1460\"}}}],\"frame_width\":375,\"frame_height\":275}}]}};\n",
-       "  const render_items = [{\"docid\":\"55dcb6dd-e817-47b3-9760-df7a348667ad\",\"roots\":{\"p1444\":\"d4bddedd-5bc5-43c5-b00b-2ba30d463720\"},\"root_ids\":[\"p1444\"]}];\n",
+       "  const docs_json = {\"f0b38c5f-afb8-41ce-b96a-0acdd2f77c83\":{\"version\":\"3.4.1\",\"title\":\"Bokeh 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canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1473\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1474\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p1475\"}]}},\"toolbar_location\":\"above\",\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1460\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1461\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1462\"},\"axis_label\":\"density\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1463\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1455\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1456\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1457\"},\"axis_label\":\"x\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1458\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1459\",\"attributes\":{\"axis\":{\"id\":\"p1455\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1464\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1460\"}}}],\"frame_width\":375,\"frame_height\":275}}]}};\n",
+       "  const render_items = [{\"docid\":\"f0b38c5f-afb8-41ce-b96a-0acdd2f77c83\",\"roots\":{\"p1444\":\"bae28590-515f-4f1b-93f6-d4dec18ae97e\"},\"root_ids\":[\"p1444\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -951,7 +951,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"f02712c9-cc28-471b-b3b3-ee3df72afeaf\" data-root-id=\"p1487\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"bef2222b-336b-47a3-b0d1-e831ac480060\" data-root-id=\"p1487\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -962,8 +962,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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force (mN)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1501\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1502\",\"attributes\":{\"axis\":{\"id\":\"p1498\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1507\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1503\"}}}],\"frame_width\":375,\"frame_height\":275}}]}};\n",
+       "  const render_items = [{\"docid\":\"6bcee56e-7ce8-4ff1-9e72-00ebb19bacba\",\"roots\":{\"p1487\":\"bef2222b-336b-47a3-b0d1-e831ac480060\"},\"root_ids\":[\"p1487\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1026,7 +1026,7 @@
    "outputs": [],
    "source": [
     "df = pd.read_csv(\"data/gfmt_sleep.csv\", na_values=\"*\")\n",
-    "df[\"insomnia\"] = df[\"sci\"] <= 16"
+    "df = df.assign(insomnia=df[\"sci\"] <= 16)"
    ]
   },
   {
@@ -1148,7 +1148,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"aacf3106-1f71-4f9b-a385-49b463cff9e6\" data-root-id=\"p1593\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"adf36220-1bb2-4942-9afa-2ca0653cd204\" data-root-id=\"p1593\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1159,8 +1159,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"e5f8de54-410f-4c24-bc90-63f232013747\",\"roots\":{\"p1593\":\"adf36220-1bb2-4942-9afa-2ca0653cd204\"},\"root_ids\":[\"p1593\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1291,7 +1291,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"a5b79777-e635-4acf-ac87-e04629deb93e\" data-root-id=\"p1593\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"c7bae242-164e-4e98-beb9-ccc3b1a150b0\" data-root-id=\"p1593\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
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       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"f30d061c-9a9f-4e4b-8fa8-68a7bc237e09\",\"roots\":{\"p1593\":\"c7bae242-164e-4e98-beb9-ccc3b1a150b0\"},\"root_ids\":[\"p1593\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1477,7 +1477,7 @@
      "data": {
       "text/html": [
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-       "  <div id=\"c5ff29f0-b1a9-47e0-91f0-6c4ac25de317\" data-root-id=\"p1719\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"edc35149-bfe4-45fe-a51c-cfc586cafba7\" data-root-id=\"p1719\" style=\"display: contents;\"></div>\n"
       ]
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      "metadata": {},
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        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"9d93d9f4-e4d9-49e7-8918-f0fd554c4d11\",\"roots\":{\"p1719\":\"edc35149-bfe4-45fe-a51c-cfc586cafba7\"},\"root_ids\":[\"p1719\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1631,7 +1631,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"a223f4eb-3b9f-4ea4-ae84-ee8736f787db\" data-root-id=\"p1807\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"f4037073-35ee-48d3-a65b-913a2249b7ad\" data-root-id=\"p1807\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
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       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"377896d6-e49a-4d48-8e89-a3fb6997cc2c\",\"roots\":{\"p1807\":\"f4037073-35ee-48d3-a65b-913a2249b7ad\"},\"root_ids\":[\"p1807\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1695,7 +1695,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"f6401cf2-fdc0-4b50-8567-d108e2222aad\" data-root-id=\"p1895\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"d1c73b73-0d1e-4a64-8286-f4b6dec7492a\" data-root-id=\"p1895\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
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       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"119431c6-12e0-49d0-afd4-f73c1ced9225\",\"roots\":{\"p1895\":\"d1c73b73-0d1e-4a64-8286-f4b6dec7492a\"},\"root_ids\":[\"p1895\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1807,7 +1807,7 @@
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        "\n",
-       "  <div id=\"c539d257-bfe1-442a-9576-6128e48cde44\" data-root-id=\"p1983\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"ef584116-f82c-419a-994b-f2e8910aa459\" data-root-id=\"p1983\" style=\"display: contents;\"></div>\n"
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      "metadata": {},
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       "application/javascript": [
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        "  function embed_document(root) {\n",
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incorrect\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAACAVkAAAAAAAABJQAAAAAAAAFZAAAAAAAAAVEAAAAAAAIBIQAAAAAAAoFFAAAAAAAAAUEAAAAAAAIBOQAAAAAAAIFNAAAAAAABAUEAAAAAAAABQQAAAAAAA4FJAAAAAAACAT0AAAAAAAIBNQAAAAAAA4FRAAAAAAAAATEAAAAAAAEBSQAAAAAAAAFBAAAAAAAAATkAAAAAAAABZQAAAAAAAoFFAAAAAAAAAWUAAAAAAAABOQAAAAAAAYFJAAAAAAAAAS0A=\"},\"shape\":[25],\"dtype\":\"float64\",\"order\":\"little\"}],[\"sci\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"CQAAAAQAAAAKAAAADQAAAA0AAAAPAAAAEAAAAA4AAAAOAAAADgAAAA4AAAAPAAAACgAAAA4AAAAFAAAAAAAAABAAAAALAAAADgAAAAwAAAAOAAAADgAAABAAAAABAAAADgAAAA==\"},\"shape\":[25],\"dtype\":\"int32\",\"order\":\"little\"}],[\"psqi\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"DQAAAAsAAAAJAAAACAAAAAkAAAAOAAAACQAAAAkAAAAMAAAACAAAAAUAAAAHAAAADAAAAA0AAAANAAAACwAAAAQAAAAKAAAABgAAAAcAAAAIAAAACQAAAAcAAAAPAAAABwAAAA==\"},\"shape\":[25],\"dtype\":\"int32\",\"order\":\"little\"}],[\"ess\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AgAAAAcAAAADAAAAFAAAAAwAAAACAAAAAwAAAAkAAAAKAAAABwAAABMAAAAAAAAACAAAAAQAAAAHAAAADgAAAAwAAAAKAAAACwAAAAwAAAABAAAABgAAAAQAAAAGAAAAAgAAAA==\"},\"shape\":[25],\"dtype\":\"int32\",\"order\":\"little\"}],[\"insomnia\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ==\"},\"shape\":[25],\"dtype\":\"bool\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p2033\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p2034\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p2029\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"confidence when correct\"},\"y\":{\"type\":\"field\",\"field\":\"confidence when incorrect\"},\"size\":{\"type\":\"value\",\"value\":5},\"line_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"line_width\":{\"type\":\"value\",\"value\":0},\"fill_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.8},\"hatch_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p2030\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"confidence when correct\"},\"y\":{\"type\":\"field\",\"field\":\"confidence when incorrect\"},\"size\":{\"type\":\"value\",\"value\":5},\"line_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"line_width\":{\"type\":\"value\",\"value\":0},\"fill_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.1},\"hatch_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.1}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p2031\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"confidence when correct\"},\"y\":{\"type\":\"field\",\"field\":\"confidence when incorrect\"},\"size\":{\"type\":\"value\",\"value\":5},\"line_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"line_width\":{\"type\":\"value\",\"value\":0},\"fill_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1991\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p2006\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p2007\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p2008\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p2009\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p2014\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p2015\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p2016\"}]}},\"toolbar_location\":\"above\",\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2001\",\"attributes\":{\"level\":\"overlay\",\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2002\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2003\"},\"axis_label\":\"condifence when incorrect\",\"axis_label_text_font_size\":\"9pt\",\"axis_label_text_font_style\":\"bold\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2004\"},\"major_label_text_font_size\":\"7.5pt\",\"axis_line_color\":\"dimgray\",\"major_tick_line_color\":\"dimgray\"}}],\"right\":[{\"type\":\"object\",\"name\":\"Legend\",\"id\":\"p2035\",\"attributes\":{\"level\":\"overlay\",\"title_text_font\":\"helvetica\",\"title_text_font_size\":\"8pt\",\"title_text_font_style\":\"bold\",\"border_line_color\":\"darkgray\",\"border_line_width\":0.75,\"background_fill_color\":\"#ffffff\",\"background_fill_alpha\":0.7,\"click_policy\":\"hide\",\"label_text_font\":\"helvetica\",\"label_text_font_size\":\"7.5pt\",\"items\":[{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2036\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"normal\"},\"renderers\":[{\"id\":\"p2023\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2037\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"insomnia\"},\"renderers\":[{\"id\":\"p2032\"}]}}]}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1996\",\"attributes\":{\"level\":\"overlay\",\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1997\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1998\"},\"axis_label\":\"confidence when correct\",\"axis_label_text_font_size\":\"9pt\",\"axis_label_text_font_style\":\"bold\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1999\"},\"major_label_text_font_size\":\"7.5pt\",\"axis_line_color\":\"dimgray\",\"major_tick_line_color\":\"dimgray\"}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2000\",\"attributes\":{\"level\":\"underlay\",\"axis\":{\"id\":\"p1996\"},\"grid_line_color\":\"lightgray\"}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2005\",\"attributes\":{\"level\":\"underlay\",\"dimension\":1,\"axis\":{\"id\":\"p2001\"},\"grid_line_color\":\"lightgray\"}}],\"frame_width\":300,\"frame_height\":300}}]}};\n",
+       "  const render_items = [{\"docid\":\"13afe487-adda-4918-9e9b-2cb79871c41f\",\"roots\":{\"p1983\":\"ef584116-f82c-419a-994b-f2e8910aa459\"},\"root_ids\":[\"p1983\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
diff --git a/2024/_sources/lessons/l28_dashboards.ipynb.txt b/2024/_sources/lessons/l28_dashboards.ipynb.txt
index c7b844fb..6986e537 100644
--- a/2024/_sources/lessons/l28_dashboards.ipynb.txt
+++ b/2024/_sources/lessons/l28_dashboards.ipynb.txt
@@ -29,7 +29,7 @@
        "    </style>\n",
        "    <div>\n",
        "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-notebook-logo\"></a>\n",
-       "        <span id=\"a5356216-ce80-4ac6-be13-4797a54856b5\">Loading BokehJS ...</span>\n",
+       "        <span id=\"e546d8f4-9dcc-4999-b379-d97850965b50\">Loading BokehJS ...</span>\n",
        "    </div>\n"
       ]
      },
@@ -202,7 +202,7 @@
        "     \"</div>\"}};\n",
        "\n",
        "  function display_loaded(error = null) {\n",
-       "    const el = document.getElementById(\"a5356216-ce80-4ac6-be13-4797a54856b5\");\n",
+       "    const el = document.getElementById(\"e546d8f4-9dcc-4999-b379-d97850965b50\");\n",
        "    if (el != null) {\n",
        "      const html = (() => {\n",
        "        if (typeof root.Bokeh === \"undefined\") {\n",
@@ -310,7 +310,7 @@
        "    document.body.appendChild(element);\n",
        "  }\n",
        "\n",
-       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.0.min.js\"];\n",
+       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n",
        "  const css_urls = [];\n",
        "\n",
        "  const inline_js = [    function(Bokeh) {\n",
@@ -336,7 +336,7 @@
        "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
        "      root._bokeh_failed_load = true;\n",
        "    } else if (force !== true) {\n",
-       "      const cell = $(document.getElementById(\"a5356216-ce80-4ac6-be13-4797a54856b5\")).parents('.cell').data().cell;\n",
+       "      const cell = $(document.getElementById(\"e546d8f4-9dcc-4999-b379-d97850965b50\")).parents('.cell').data().cell;\n",
        "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
        "    }\n",
        "  }\n",
@@ -352,7 +352,7 @@
        "  }\n",
        "}(window));"
       ],
-      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"a5356216-ce80-4ac6-be13-4797a54856b5\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.0.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"a5356216-ce80-4ac6-be13-4797a54856b5\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
+      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"e546d8f4-9dcc-4999-b379-d97850965b50\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"e546d8f4-9dcc-4999-b379-d97850965b50\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -564,7 +564,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {
     "tags": []
    },
@@ -573,11 +573,11 @@
      "data": {
       "application/vnd.bokehjs_exec.v0+json": "",
       "text/html": [
-       "<script id=\"db8c0998-2b84-4036-a3c3-fedf36ce0057\">\n",
+       "<script id=\"c37478f3-a29d-4b06-97ba-11f683cb10b2\">\n",
        "  (function() {\n",
        "    const xhr = new XMLHttpRequest()\n",
        "    xhr.responseType = 'blob';\n",
-       "    xhr.open('GET', \"http://localhost:60795/autoload.js?bokeh-autoload-element=db8c0998-2b84-4036-a3c3-fedf36ce0057&bokeh-absolute-url=http://localhost:60795&resources=none\", true);\n",
+       "    xhr.open('GET', \"http://localhost:53756/autoload.js?bokeh-autoload-element=c37478f3-a29d-4b06-97ba-11f683cb10b2&bokeh-absolute-url=http://localhost:53756&resources=none\", true);\n",
        "    xhr.onload = function (event) {\n",
        "      const script = document.createElement('script');\n",
        "      const src = URL.createObjectURL(event.target.response);\n",
@@ -591,7 +591,7 @@
      },
      "metadata": {
       "application/vnd.bokehjs_exec.v0+json": {
-       "server_id": "b4c18fe83bb542c0a0d35c9a5f962c06"
+       "server_id": "3796816cb58849c6b77c3034febd647f"
       }
      },
      "output_type": "display_data"
@@ -645,7 +645,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {
     "tags": []
    },
@@ -677,7 +677,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {
     "tags": []
    },
@@ -711,7 +711,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {
     "tags": []
    },
@@ -753,7 +753,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {
     "tags": []
    },
@@ -782,7 +782,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 15,
    "metadata": {
     "tags": []
    },
@@ -791,11 +791,11 @@
      "data": {
       "application/vnd.bokehjs_exec.v0+json": "",
       "text/html": [
-       "<script id=\"ca1a927d-8dd3-4c48-b625-9eca6a6fe673\">\n",
+       "<script id=\"b5d12763-0a3f-4fc6-abd3-50a2e98b21df\">\n",
        "  (function() {\n",
        "    const xhr = new XMLHttpRequest()\n",
        "    xhr.responseType = 'blob';\n",
-       "    xhr.open('GET', \"http://localhost:60798/autoload.js?bokeh-autoload-element=ca1a927d-8dd3-4c48-b625-9eca6a6fe673&bokeh-absolute-url=http://localhost:60798&resources=none\", true);\n",
+       "    xhr.open('GET', \"http://localhost:53759/autoload.js?bokeh-autoload-element=b5d12763-0a3f-4fc6-abd3-50a2e98b21df&bokeh-absolute-url=http://localhost:53759&resources=none\", true);\n",
        "    xhr.onload = function (event) {\n",
        "      const script = document.createElement('script');\n",
        "      const src = URL.createObjectURL(event.target.response);\n",
@@ -809,7 +809,7 @@
      },
      "metadata": {
       "application/vnd.bokehjs_exec.v0+json": {
-       "server_id": "cbd6fa902cb542c7b12f375f221889f3"
+       "server_id": "c94f3d9db5f84e5f90de503533f94e59"
       }
      },
      "output_type": "display_data"
@@ -851,7 +851,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 16,
    "metadata": {
     "tags": []
    },
@@ -1032,7 +1032,7 @@
        "4                       49.0   13     9   12      True  "
       ]
      },
-     "execution_count": 14,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1041,7 +1041,7 @@
     "df = pd.read_csv('data/gfmt_sleep.csv', na_values='*')\n",
     "\n",
     "# Add column for insomnia\n",
-    "df['insomnia'] = df['sci'] <= 16\n",
+    "df = df.assign(insomnia=df['sci'] <= 16)\n",
     "\n",
     "df.head()"
    ]
@@ -1059,7 +1059,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 17,
    "metadata": {
     "tags": []
    },
@@ -1080,7 +1080,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 18,
    "metadata": {
     "tags": []
    },
@@ -1108,7 +1108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 19,
    "metadata": {
     "tags": []
    },
@@ -1129,7 +1129,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 20,
    "metadata": {
     "tags": []
    },
@@ -1155,7 +1155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 21,
    "metadata": {
     "tags": []
    },
@@ -1195,7 +1195,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 22,
    "metadata": {
     "tags": []
    },
@@ -1215,7 +1215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 24,
    "metadata": {
     "tags": []
    },
@@ -1224,11 +1224,11 @@
      "data": {
       "application/vnd.bokehjs_exec.v0+json": "",
       "text/html": [
-       "<script id=\"fdf35378-acdf-4f0d-90de-062653ac1bca\">\n",
+       "<script id=\"ddad855b-3b6d-4066-8481-6e9f9d69c4b8\">\n",
        "  (function() {\n",
        "    const xhr = new XMLHttpRequest()\n",
        "    xhr.responseType = 'blob';\n",
-       "    xhr.open('GET', \"http://localhost:60802/autoload.js?bokeh-autoload-element=fdf35378-acdf-4f0d-90de-062653ac1bca&bokeh-absolute-url=http://localhost:60802&resources=none\", true);\n",
+       "    xhr.open('GET', \"http://localhost:53762/autoload.js?bokeh-autoload-element=ddad855b-3b6d-4066-8481-6e9f9d69c4b8&bokeh-absolute-url=http://localhost:53762&resources=none\", true);\n",
        "    xhr.onload = function (event) {\n",
        "      const script = document.createElement('script');\n",
        "      const src = URL.createObjectURL(event.target.response);\n",
@@ -1242,7 +1242,7 @@
      },
      "metadata": {
       "application/vnd.bokehjs_exec.v0+json": {
-       "server_id": "75c1e0b95cd44569b81f1a5bdad71a66"
+       "server_id": "791a512a32514deea0859f0c2a61db2c"
       }
      },
      "output_type": "display_data"
@@ -1406,7 +1406,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 25,
    "metadata": {
     "tags": [
      "hide-input"
@@ -1422,9 +1422,9 @@
       "IPython version      : 8.20.0\n",
       "\n",
       "numpy     : 1.26.4\n",
-      "scipy     : 1.13.0\n",
+      "scipy     : 1.13.1\n",
       "pandas    : 2.2.1\n",
-      "bokeh     : 3.4.0\n",
+      "bokeh     : 3.4.1\n",
       "jupyterlab: 4.0.13\n",
       "\n"
      ]
diff --git a/2024/_sources/lessons/l29_javascript_for_bokeh.ipynb.txt b/2024/_sources/lessons/l29_javascript_for_bokeh.ipynb.txt
index 0b5104f3..5589f3ba 100644
--- a/2024/_sources/lessons/l29_javascript_for_bokeh.ipynb.txt
+++ b/2024/_sources/lessons/l29_javascript_for_bokeh.ipynb.txt
@@ -27,7 +27,7 @@
        "    </style>\n",
        "    <div>\n",
        "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-notebook-logo\"></a>\n",
-       "        <span id=\"d4ba02d5-64c2-4988-90e1-5b4832d651d4\">Loading BokehJS ...</span>\n",
+       "        <span id=\"ec209cab-459d-42f7-ae3b-6382ad808e20\">Loading BokehJS ...</span>\n",
        "    </div>\n"
       ]
      },
@@ -200,7 +200,7 @@
        "     \"</div>\"}};\n",
        "\n",
        "  function display_loaded(error = null) {\n",
-       "    const el = document.getElementById(\"d4ba02d5-64c2-4988-90e1-5b4832d651d4\");\n",
+       "    const el = document.getElementById(\"ec209cab-459d-42f7-ae3b-6382ad808e20\");\n",
        "    if (el != null) {\n",
        "      const html = (() => {\n",
        "        if (typeof root.Bokeh === \"undefined\") {\n",
@@ -308,7 +308,7 @@
        "    document.body.appendChild(element);\n",
        "  }\n",
        "\n",
-       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.0.min.js\"];\n",
+       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n",
        "  const css_urls = [];\n",
        "\n",
        "  const inline_js = [    function(Bokeh) {\n",
@@ -334,7 +334,7 @@
        "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
        "      root._bokeh_failed_load = true;\n",
        "    } else if (force !== true) {\n",
-       "      const cell = $(document.getElementById(\"d4ba02d5-64c2-4988-90e1-5b4832d651d4\")).parents('.cell').data().cell;\n",
+       "      const cell = $(document.getElementById(\"ec209cab-459d-42f7-ae3b-6382ad808e20\")).parents('.cell').data().cell;\n",
        "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
        "    }\n",
        "  }\n",
@@ -350,7 +350,7 @@
        "  }\n",
        "}(window));"
       ],
-      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"d4ba02d5-64c2-4988-90e1-5b4832d651d4\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.0.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"d4ba02d5-64c2-4988-90e1-5b4832d651d4\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
+      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"ec209cab-459d-42f7-ae3b-6382ad808e20\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"ec209cab-459d-42f7-ae3b-6382ad808e20\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -689,7 +689,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"b284d557-db82-4862-a74d-66f45ec91fc0\" data-root-id=\"p1052\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"dca7210e-99f1-4d07-b9f0-ce5e43f1e9b9\" data-root-id=\"p1052\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -700,8 +700,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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normalPDF(x, mu, sigma) {\\n    let expArg = (x - mu) ** 2 / 2.0 / sigma ** 2;\\n    return Math.exp(-expArg) / sigma / Math.sqrt(2 * Math.PI);\\n}\\n\\n// For convenience, get views into the ColumnDataSource data\\nlet x = source.data['x'];\\nlet pdf = source.data['pdf'];\\n\\n// Pull the values off of the sliders\\nlet mu = mu_slider.value;\\nlet sigma = sigma_slider.value;\\n\\n// Loop through and update\\nlet xLen = x.length;\\nfor (let i = 0; i < xLen; i++) {\\n    pdf[i] = normalPDF(x[i], mu, sigma);\\n}\\n\\n// Once the ColumnDataSource is changed, we need to use its \\n// .change.emit() method to update the plot\\nsource.change.emit();\\n\"}}]]]},\"title\":\"\\u03c3\",\"start\":0.1,\"end\":5,\"value\":1,\"step\":0.1}}]]},\"code\":\"\\nfunction normalPDF(x, mu, sigma) {\\n    let expArg = (x - mu) ** 2 / 2.0 / sigma ** 2;\\n    return Math.exp(-expArg) / sigma / Math.sqrt(2 * Math.PI);\\n}\\n\\n// For convenience, get views into the ColumnDataSource data\\nlet x = source.data['x'];\\nlet pdf = source.data['pdf'];\\n\\n// Pull the values off of the sliders\\nlet mu = mu_slider.value;\\nlet sigma = sigma_slider.value;\\n\\n// Loop through and update\\nlet xLen = x.length;\\nfor (let i = 0; i < xLen; i++) {\\n    pdf[i] = normalPDF(x[i], mu, sigma);\\n}\\n\\n// Once the ColumnDataSource is changed, we need to use its \\n// .change.emit() method to update the plot\\nsource.change.emit();\\n\"}}]]]},\"title\":\"\\u00b5\",\"start\":-5,\"end\":5,\"value\":0,\"step\":0.1}},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1049\",\"attributes\":{\"height\":15}},{\"id\":\"p1002\"}]}}]}}]}};\n",
+       "  const render_items = [{\"docid\":\"239458b7-6de7-44a1-824d-8c7d2656b774\",\"roots\":{\"p1052\":\"dca7210e-99f1-4d07-b9f0-ce5e43f1e9b9\"},\"root_ids\":[\"p1052\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -977,7 +977,7 @@
     "df = pd.read_csv('data/gfmt_sleep.csv', na_values='*')\n",
     "\n",
     "# Add column for insomnia\n",
-    "df['insomnia'] = df['sci'] <= 16\n",
+    "df = df.assign(insomnia=df['sci'] <= 16)\n",
     "\n",
     "df.head()"
    ]
@@ -1252,7 +1252,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"bfbc6719-0aec-4cce-9963-5c552399f383\" data-root-id=\"p1116\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"e156f9d1-8293-4cd4-90ac-de7c4fbfca1b\" data-root-id=\"p1116\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1263,8 +1263,8 @@
       "application/javascript": [
        "(function(root) {\n",
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correct\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAABAV0AAAAAAAMBSQAAAAAAAQFZAAAAAAAAAVkAAAAAAAEBQQAAAAAAAIFBAAAAAAACAUEAAAAAAAABPQAAAAAAAAFFAAAAAAADAUUAAAAAAAIBUQAAAAAAAAFNAAAAAAADgU0AAAAAAAIBLQAAAAAAAQFVAAAAAAACAUUAAAAAAAEBLQAAAAAAAIFZAAAAAAADgVUAAAAAAAABZQAAAAAAAQFNAAAAAAAAAWUAAAAAAAABUQAAAAAAAYFFAAAAAAABAVEAAAAAAAIBJQAAAAAAAoFNAAAAAAACATEAAAAAAAABOQAAAAAAAAFRAAAAAAADAWEAAAAAAAIBTQAAAAAAAoFNAAAAAAACAVkAAAAAAAIBRQAAAAAAAgFJAAAAAAACAR0AAAAAAAABKQAAAAAAAAFVAAAAAAACAT0AAAAAAAABPQAAAAAAAwE1AAAAAAADgUkAAAAAAAIBTQAAAAAAAgE9AAAAAAABAVEAAAAAAAAA4QAAAAAAAAElAAAAAAABAVEAAAAAAAMBQQAAAAAAAQFNAAAAAAAAAWUAAAAAAAABRQAAAAAAAAEhAAAAAAACAUkAAAAAAAIBUQAAAAAAAwFBAAAAAAACgVEAAAAAAAMBQQAAAAAAAAFZAAAAAAADAVEAAAAAAAMBPQAAAAAAAIFRAAAAAAADAUUAAAAAAAMBXQAAAAAAAoFNAAAAAAABASkAAAAAAAEBRQAAAAAAAgE5AAAAAAACAUEAAAAAAAIBSQAAAAAAAAFdAAAAAAAAAVEAAAAAAAABXQAAAAAAAwFRAAAAAAABATkAAAAAAACBSQAAAAAAAYFhAAAAAAAAAUUAAAAAAAMBQQAAAAAAAQFBAAAAAAACAVEAAAAAAAMBSQAAAAAAAgFdAAAAAAABAU0AAAAAAAABXQAAAAAAAQFRAAAAAAAAATUAAAAAAAOBWQAAAAAAAAFlAAAAAAABAVUAAAAAAAIBSQAAAAAAA4FNAAAAAAACgUUAAAAAAAABSQAAAAAAAQFVAAAAAAAAAUEAAAAAAAEBTQAAAAAAAgFJAAAAAAABAUEAAAAAAAEBUQAAAAAAAQFRA\"},\"shape\":[102],\"dtype\":\"float64\",\"order\":\"little\"}],[\"confidence when incorrect\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[102],\"dtype\":\"float64\",\"order\":\"little\"}],[\"sci\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[102],\"dtype\":\"int32\",\"order\":\"little\"}],[\"psqi\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[102],\"dtype\":\"int32\",\"order\":\"little\"}],[\"ess\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[102],\"dtype\":\"int32\",\"order\":\"little\"}],[\"insomnia\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\"},\"shape\":[102],\"dtype\":\"bool\",\"order\":\"little\"}]]}}}],[\"colorby_selector\",{\"type\":\"object\",\"name\":\"Select\",\"id\":\"p1061\",\"attributes\":{\"js_property_callbacks\":{\"type\":\"map\",\"entries\":[[\"change:value\",[{\"type\":\"object\",\"name\":\"CustomJS\",\"id\":\"p1109\",\"attributes\":{\"args\":{\"type\":\"map\",\"entries\":[[\"render_source\",{\"id\":\"p1062\"}],[\"source\",{\"id\":\"p1065\"}],[\"colorby_selector\",{\"id\":\"p1061\"}],[\"x_selector\",{\"id\":\"p1059\"}],[\"y_selector\",{\"type\":\"object\",\"name\":\"Select\",\"id\":\"p1060\",\"attributes\":{\"js_property_callbacks\":{\"type\":\"map\",\"entries\":[[\"change:value\",[{\"type\":\"object\",\"name\":\"CustomJS\",\"id\":\"p1111\",\"attributes\":{\"args\":{\"type\":\"map\",\"entries\":[[\"render_source\",{\"id\":\"p1062\"}],[\"source\",{\"id\":\"p1065\"}],[\"colorby_selector\",{\"id\":\"p1061\"}],[\"x_selector\",{\"id\":\"p1059\"}],[\"y_selector\",{\"id\":\"p1060\"}],[\"xaxis\",[{\"id\":\"p1079\"}]],[\"yaxis\",[{\"id\":\"p1084\"}]]]},\"code\":\"\\n// Extract what we want to color by from selector\\nlet colorby = colorby_selector.value;\\n\\n// View of the colors for convenience\\nlet colors = render_source.data['color'];\\n\\n// Convenient to have the number of data points\\nlet n = colors.length;\\n\\n// New data\\nrender_source.data['x'] = source.data[x_selector.value];\\nrender_source.data['y'] = source.data[y_selector.value];\\n\\n// Update colors\\nif (colorby === 'none') {\\n    for (let i = 0; i < n; i++) {\\n        colors[i] = '#1f77b3';\\n    }\\n}\\nelse if (colorby === 'gender') {\\n    for (let i = 0; i < n; i++) {\\n        if (source.data['gender'][i] === 'f') {\\n            colors[i] = '#1f77b3';\\n        }\\n        else {\\n            colors[i] = '#ff7e0e';\\n        }\\n    }\\n}\\nelse if (colorby === 'insomnia') {\\n    for (let i = 0; i < n; i++) {\\n        if (source.data['insomnia'][i]) {\\n            colors[i] = '#1f77b3';\\n        }\\n        else {\\n            colors[i] = '#ff7e0e';\\n        }\\n    }\\n}\\n\\n// Update axis labels to reflect what was selected\\nxaxis[0].axis_label = x_selector.value;\\nyaxis[0].axis_label = y_selector.value;\\n\\nrender_source.change.emit();\\n\"}}]]]},\"width\":200,\"title\":\"y\",\"options\":[\"age\",\"correct hit percentage\",\"correct reject percentage\",\"percent correct\",\"confidence when correct hit\",\"confidence when incorrect hit\",\"confidence when correct reject\",\"confidence when incorrect reject\",\"confidence when correct\",\"confidence when incorrect\",\"sci\",\"psqi\",\"ess\"],\"value\":\"confidence when correct\"}}],[\"xaxis\",[{\"id\":\"p1079\"}]],[\"yaxis\",[{\"id\":\"p1084\"}]]]},\"code\":\"\\n// Extract what we want to color by from selector\\nlet colorby = colorby_selector.value;\\n\\n// View of the colors for convenience\\nlet colors = render_source.data['color'];\\n\\n// Convenient to have the number of data points\\nlet n = colors.length;\\n\\n// New data\\nrender_source.data['x'] = source.data[x_selector.value];\\nrender_source.data['y'] = source.data[y_selector.value];\\n\\n// Update colors\\nif (colorby === 'none') {\\n    for (let i = 0; i < n; i++) {\\n        colors[i] = '#1f77b3';\\n    }\\n}\\nelse if (colorby === 'gender') {\\n    for (let i = 0; i < n; i++) {\\n        if (source.data['gender'][i] === 'f') {\\n            colors[i] = '#1f77b3';\\n        }\\n        else {\\n            colors[i] = '#ff7e0e';\\n        }\\n    }\\n}\\nelse if (colorby === 'insomnia') {\\n    for (let i = 0; i < n; i++) {\\n        if (source.data['insomnia'][i]) {\\n            colors[i] = '#1f77b3';\\n        }\\n        else {\\n            colors[i] = '#ff7e0e';\\n        }\\n    }\\n}\\n\\n// Update axis labels to reflect what was selected\\nxaxis[0].axis_label = x_selector.value;\\nyaxis[0].axis_label = y_selector.value;\\n\\nrender_source.change.emit();\\n\"}}]]]},\"width\":200,\"title\":\"color by\",\"options\":[\"none\",\"gender\",\"insomnia\"],\"value\":\"none\"}}],[\"x_selector\",{\"id\":\"p1059\"}],[\"y_selector\",{\"id\":\"p1060\"}],[\"xaxis\",[{\"id\":\"p1079\"}]],[\"yaxis\",[{\"id\":\"p1084\"}]]]},\"code\":\"\\n// Extract what we want to color by from selector\\nlet colorby = colorby_selector.value;\\n\\n// View of the colors for convenience\\nlet colors = render_source.data['color'];\\n\\n// Convenient to have the number of data points\\nlet n = colors.length;\\n\\n// New data\\nrender_source.data['x'] = source.data[x_selector.value];\\nrender_source.data['y'] = source.data[y_selector.value];\\n\\n// Update colors\\nif (colorby === 'none') {\\n    for (let i = 0; i < n; i++) {\\n        colors[i] = '#1f77b3';\\n    }\\n}\\nelse if (colorby === 'gender') {\\n    for (let i = 0; i < n; i++) {\\n        if (source.data['gender'][i] === 'f') {\\n            colors[i] = '#1f77b3';\\n        }\\n        else {\\n            colors[i] = '#ff7e0e';\\n        }\\n    }\\n}\\nelse if (colorby === 'insomnia') {\\n    for (let i = 0; i < n; i++) {\\n        if (source.data['insomnia'][i]) {\\n            colors[i] = '#1f77b3';\\n        }\\n        else {\\n            colors[i] = '#ff7e0e';\\n        }\\n    }\\n}\\n\\n// Update axis labels to reflect what was selected\\nxaxis[0].axis_label = x_selector.value;\\nyaxis[0].axis_label = y_selector.value;\\n\\nrender_source.change.emit();\\n\"}}]]]},\"width\":200,\"title\":\"x\",\"options\":[\"age\",\"correct hit percentage\",\"correct reject percentage\",\"percent correct\",\"confidence when correct hit\",\"confidence when incorrect hit\",\"confidence when correct reject\",\"confidence when incorrect reject\",\"confidence when correct\",\"confidence when incorrect\",\"sci\",\"psqi\",\"ess\"],\"value\":\"percent correct\"}},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1113\",\"attributes\":{\"height\":15}},{\"id\":\"p1060\"},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1114\",\"attributes\":{\"height\":15}},{\"id\":\"p1061\"}]}}]}}]}};\n",
+       "  const render_items = [{\"docid\":\"2683fb5e-ffd7-4b2d-9b73-454f55b48d25\",\"roots\":{\"p1116\":\"e156f9d1-8293-4cd4-90ac-de7c4fbfca1b\"},\"root_ids\":[\"p1116\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1375,7 +1375,7 @@
       "\n",
       "numpy     : 1.26.4\n",
       "pandas    : 2.2.1\n",
-      "bokeh     : 3.4.0\n",
+      "bokeh     : 3.4.1\n",
       "jupyterlab: 4.0.13\n",
       "\n"
      ]
diff --git a/2024/_sources/lessons/l40_holoviews.ipynb.txt b/2024/_sources/lessons/l40_holoviews.ipynb.txt
index 4ff5652d..2efc3189 100644
--- a/2024/_sources/lessons/l40_holoviews.ipynb.txt
+++ b/2024/_sources/lessons/l40_holoviews.ipynb.txt
@@ -29,7 +29,7 @@
        "    </style>\n",
        "    <div>\n",
        "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-notebook-logo\"></a>\n",
-       "        <span id=\"f4bdf27b-8e65-42ee-a501-5fc1b142d80a\">Loading BokehJS ...</span>\n",
+       "        <span id=\"ff87c8af-a091-4d0b-915e-13ffacc289f4\">Loading BokehJS ...</span>\n",
        "    </div>\n"
       ]
      },
@@ -202,7 +202,7 @@
        "     \"</div>\"}};\n",
        "\n",
        "  function display_loaded(error = null) {\n",
-       "    const el = document.getElementById(\"f4bdf27b-8e65-42ee-a501-5fc1b142d80a\");\n",
+       "    const el = document.getElementById(\"ff87c8af-a091-4d0b-915e-13ffacc289f4\");\n",
        "    if (el != null) {\n",
        "      const html = (() => {\n",
        "        if (typeof root.Bokeh === \"undefined\") {\n",
@@ -310,7 +310,7 @@
        "    document.body.appendChild(element);\n",
        "  }\n",
        "\n",
-       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.0.min.js\", \"https://unpkg.com/@holoviz/panel@1.4.2/dist/panel.min.js\"];\n",
+       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\", \"https://unpkg.com/@holoviz/panel@1.4.4/dist/panel.min.js\"];\n",
        "  const css_urls = [];\n",
        "\n",
        "  const inline_js = [    function(Bokeh) {\n",
@@ -336,7 +336,7 @@
        "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
        "      root._bokeh_failed_load = true;\n",
        "    } else if (force !== true) {\n",
-       "      const cell = $(document.getElementById(\"f4bdf27b-8e65-42ee-a501-5fc1b142d80a\")).parents('.cell').data().cell;\n",
+       "      const cell = $(document.getElementById(\"ff87c8af-a091-4d0b-915e-13ffacc289f4\")).parents('.cell').data().cell;\n",
        "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
        "    }\n",
        "  }\n",
@@ -352,7 +352,7 @@
        "  }\n",
        "}(window));"
       ],
-      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"f4bdf27b-8e65-42ee-a501-5fc1b142d80a\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.0.min.js\", \"https://unpkg.com/@holoviz/panel@1.4.2/dist/panel.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"f4bdf27b-8e65-42ee-a501-5fc1b142d80a\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
+      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"ff87c8af-a091-4d0b-915e-13ffacc289f4\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\", \"https://unpkg.com/@holoviz/panel@1.4.4/dist/panel.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"ff87c8af-a091-4d0b-915e-13ffacc289f4\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -366,7 +366,7 @@
        "  }\n",
        "\n",
        "  var force = true;\n",
-       "  var py_version = '3.4.0'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
+       "  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
        "  var reloading = false;\n",
        "  var Bokeh = root.Bokeh;\n",
        "\n",
@@ -522,7 +522,7 @@
        "    document.body.appendChild(element);\n",
        "  }\n",
        "\n",
-       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.holoviz.org/panel/1.4.2/dist/panel.min.js\"];\n",
+       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js\"];\n",
        "  var js_modules = [];\n",
        "  var js_exports = {};\n",
        "  var css_urls = [];\n",
@@ -595,7 +595,7 @@
        "  setTimeout(load_or_wait, 100)\n",
        "}(window));"
       ],
-      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.0'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks;\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.holoviz.org/panel/1.4.2/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
+      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks;\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -877,25 +877,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1002'>\n",
-       "  <div id=\"a3b4897b-5229-4137-bca0-ed7c7964a74c\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"b64faf9c-ff03-4df6-ae50-a00b114d95e0\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"42775466-1c7b-44e5-8f89-25699040b2b1\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1002\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1003\",\"attributes\":{\"plot_id\":\"p1002\",\"comm_id\":\"f2e9af29ab01478a9dc4a1242bbb9fba\",\"client_comm_id\":\"de1e435dcbd8462896e84159cc372a73\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
-       "  var render_items = [{\"docid\":\"42775466-1c7b-44e5-8f89-25699040b2b1\",\"roots\":{\"p1002\":\"a3b4897b-5229-4137-bca0-ed7c7964a74c\"},\"root_ids\":[\"p1002\"]}];\n",
+       "  var docs_json = {\"730b4bc8-5a81-4f4d-a6ff-caca8125eb50\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1002\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1003\",\"attributes\":{\"plot_id\":\"p1002\",\"comm_id\":\"ab67728558254b4e825b4c0980274896\",\"client_comm_id\":\"fb18f313c98f4939ba3aa69b2abcd58f\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"730b4bc8-5a81-4f4d-a6ff-caca8125eb50\",\"roots\":{\"p1002\":\"b64faf9c-ff03-4df6-ae50-a00b114d95e0\"},\"root_ids\":[\"p1002\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -1224,25 +1229,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1004'>\n",
-       "  <div id=\"f78b258b-3910-4942-bb52-59232d633831\" data-root-id=\"p1004\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"b992ada2-c8eb-454e-9226-0a36416bf281\" data-root-id=\"p1004\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"bd4a0358-8bb6-49c4-b40f-66295b9e462a\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1004\",\"attributes\":{\"name\":\"Row00866\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 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(mm)\"},\"size\":{\"type\":\"value\",\"value\":2.449489742783178},\"line_color\":{\"type\":\"value\",\"value\":\"#30a2da\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"#30a2da\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_color\":{\"type\":\"value\",\"value\":\"#30a2da\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1024\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1014\",\"attributes\":{\"tags\":[\"hv_created\"],\"renderers\":\"auto\",\"zoom_together\":\"none\"}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1037\"},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1038\"},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1039\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1040\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1045\"}],\"active_drag\":{\"id\":\"p1038\"},\"active_scroll\":{\"id\":\"p1014\"}}},\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1032\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1033\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1034\"},\"axis_label\":\"beak 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(mm)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1030\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1031\",\"attributes\":{\"axis\":{\"id\":\"p1027\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1036\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1032\"},\"grid_line_color\":null}}],\"min_border_top\":10,\"min_border_bottom\":10,\"min_border_left\":10,\"min_border_right\":10,\"output_backend\":\"webgl\"}},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1060\",\"attributes\":{\"name\":\"HSpacer00873\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 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fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"67cec309-4bd7-45ca-a252-8a74526ed286\",\"roots\":{\"p1004\":\"b992ada2-c8eb-454e-9226-0a36416bf281\"},\"root_ids\":[\"p1004\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -1364,25 +1374,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1066'>\n",
-       "  <div id=\"e4457454-f67c-4fd7-8d4b-c5dc5cc78187\" data-root-id=\"p1066\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"ed7db15a-c671-4523-a906-294b5e2e1dc7\" data-root-id=\"p1066\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"50bfcf02-ac6b-4502-9b4e-17a43f14a092\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1066\",\"attributes\":{\"name\":\"Row00914\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1069\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1124\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1067\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1068\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/native.css\"}}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1070\",\"attributes\":{\"name\":\"HSpacer00921\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1069\"},{\"id\":\"p1067\"},{\"id\":\"p1068\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}},{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1077\",\"attributes\":{\"width\":null,\"height\":null,\"margin\":[5,10],\"sizing_mode\":\"fixed\",\"align\":\"start\",\"x_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1071\",\"attributes\":{\"tags\":[[[\"beak length (mm)\",\"beak length (mm)\",null]],[]],\"start\":8.38,\"end\":15.819999999999999,\"reset_start\":8.38,\"reset_end\":15.819999999999999}},\"y_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1072\",\"attributes\":{\"tags\":[[[\"beak depth (mm)\",\"beak depth (mm)\",null]],{\"type\":\"map\",\"entries\":[[\"invert_yaxis\",false],[\"autorange\",false]]}],\"start\":6.8100000000000005,\"end\":11.49,\"reset_start\":6.8100000000000005,\"reset_end\":11.49}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1087\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1088\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1080\",\"attributes\":{\"text_color\":\"black\",\"text_font_size\":\"12pt\"}},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1117\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1108\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1109\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1110\"},\"data\":{\"type\":\"map\",\"entries\":[[\"beak length 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400px));\\n}\",{\"id\":\"p1069\"},{\"id\":\"p1067\"},{\"id\":\"p1068\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"04ac8944-0fc9-40f0-98db-fae477cd8685\",\"roots\":{\"p1066\":\"ed7db15a-c671-4523-a906-294b5e2e1dc7\"},\"root_ids\":[\"p1066\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -1482,25 +1497,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1128'>\n",
-       "  <div id=\"b3ee494a-d5ca-4548-bf22-224d03063742\" data-root-id=\"p1128\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"cde38543-d5a2-49ec-ad18-afb8d2953eb4\" data-root-id=\"p1128\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"46aa7118-4932-4673-919f-1be69577ecc2\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1128\",\"attributes\":{\"name\":\"Row04300\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1131\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1186\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1129\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1130\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/native.css\"}}],\"min_width\":450,\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1132\",\"attributes\":{\"name\":\"HSpacer04306\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1131\"},{\"id\":\"p1129\"},{\"id\":\"p1130\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}},{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1139\",\"attributes\":{\"width\":450,\"height\":350,\"margin\":[5,10],\"sizing_mode\":\"fixed\",\"align\":\"start\",\"x_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1133\",\"attributes\":{\"tags\":[[[\"beak length (mm)\",\"beak length (mm)\",null]],[]],\"start\":8.758888888888889,\"end\":15.44111111111111,\"reset_start\":8.758888888888889,\"reset_end\":15.44111111111111}},\"y_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1134\",\"attributes\":{\"tags\":[[[\"beak depth (mm)\",\"beak depth (mm)\",null]],{\"type\":\"map\",\"entries\":[[\"invert_yaxis\",false],[\"autorange\",false]]}],\"start\":7.005,\"end\":11.295,\"reset_start\":7.005,\"reset_end\":11.295}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1149\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1150\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1142\",\"attributes\":{\"text_color\":\"black\",\"text_font_size\":\"12pt\"}},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1179\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1170\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1171\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1172\"},\"data\":{\"type\":\"map\",\"entries\":[[\"beak length 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+       "  var render_items = [{\"docid\":\"b5c17905-376e-4d50-979c-ea38fc3b30f9\",\"roots\":{\"p1128\":\"cde38543-d5a2-49ec-ad18-afb8d2953eb4\"},\"root_ids\":[\"p1128\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -1594,25 +1614,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1190'>\n",
-       "  <div id=\"a4259f0f-6c28-440c-a160-1d4c54fd6b44\" data-root-id=\"p1190\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"d2b32c11-5d5c-47b5-8ca4-fe6c247b659c\" data-root-id=\"p1190\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
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(mm)\\\"]}]}\"]]}]]},\"widgets\":{\"type\":\"map\",\"entries\":[[\"p1250\",0]]},\"values\":[\"fortis\"]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"22c568f9-dc19-4c95-9662-be00e9dbee20\",\"roots\":{\"p1190\":\"d2b32c11-5d5c-47b5-8ca4-fe6c247b659c\"},\"root_ids\":[\"p1190\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -1707,25 +1732,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1266'>\n",
-       "  <div id=\"d808c140-8f8b-46f8-9ebf-c940a8f881e1\" data-root-id=\"p1266\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"d0bd6bec-4ee5-40ea-ae4d-2de2f2a5a070\" data-root-id=\"p1266\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"79eed866-a151-4103-aeb4-85293ff51706\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1266\",\"attributes\":{\"name\":\"Row04474\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1269\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1381\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1267\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1268\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/native.css\"}}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1270\",\"attributes\":{\"name\":\"HSpacer04480\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1269\"},{\"id\":\"p1267\"},{\"id\":\"p1268\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}},{\"type\":\"object\",\"name\":\"GridPlot\",\"id\":\"p1370\",\"attributes\":{\"rows\":null,\"cols\":null,\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1377\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p1372\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1276\",\"attributes\":{\"tags\":[\"hv_created\"],\"renderers\":\"auto\",\"zoom_together\":\"none\"}},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1324\",\"attributes\":{\"tags\":[\"hv_created\"],\"renderers\":\"auto\",\"zoom_together\":\"none\"}}]}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1373\"},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p1374\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1300\"},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1348\"}]}},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p1375\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1301\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1302\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1349\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1350\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}}]}},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p1376\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1307\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1355\"}]}}]}},\"children\":[[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1277\",\"attributes\":{\"width\":null,\"height\":null,\"sizing_mode\":\"fixed\",\"align\":\"start\",\"x_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1271\",\"attributes\":{\"tags\":[[[\"beak 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+       "  var render_items = [{\"docid\":\"c668838f-b114-4cb1-884d-e806c46293dd\",\"roots\":{\"p1266\":\"d0bd6bec-4ee5-40ea-ae4d-2de2f2a5a070\"},\"root_ids\":[\"p1266\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -1822,25 +1852,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1387'>\n",
-       "  <div id=\"ab516c51-6154-44b6-9035-2ce404ecc68b\" data-root-id=\"p1387\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"d06689cd-6a3a-4624-9320-435a241d3202\" data-root-id=\"p1387\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"7ae57a2b-2346-4e80-b305-ecd3ed167720\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1387\",\"attributes\":{\"name\":\"Row04604\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 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fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"08820e10-b18a-48cc-9f97-6a01e561a0a3\",\"roots\":{\"p1387\":\"d06689cd-6a3a-4624-9320-435a241d3202\"},\"root_ids\":[\"p1387\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -1946,25 +1981,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1469'>\n",
-       "  <div id=\"be943324-9af4-4f37-adaf-a4829460360d\" data-root-id=\"p1469\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"b12bf2d6-1d41-41bc-8984-f8ae0ce483a6\" data-root-id=\"p1469\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"9638ba28-f493-462e-b401-5b831b09db65\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1469\",\"attributes\":{\"name\":\"Row04724\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 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depth (mm)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1504\"}}}],\"right\":[{\"type\":\"object\",\"name\":\"Legend\",\"id\":\"p1527\",\"attributes\":{\"location\":[10,100],\"title\":\"species\",\"click_policy\":\"hide\",\"label_text_font_size\":\"8pt\",\"items\":[{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1528\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"fortis\"},\"renderers\":[{\"id\":\"p1524\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1542\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"scandens\"},\"renderers\":[{\"id\":\"p1539\"}]}}]}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1496\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1497\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1498\"},\"axis_label\":\"beak length (mm)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1499\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1500\",\"attributes\":{\"axis\":{\"id\":\"p1496\"},\"ticker\":{\"id\":\"p1497\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1505\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1501\"},\"ticker\":{\"id\":\"p1502\"}}}],\"min_border_top\":10,\"min_border_bottom\":10,\"min_border_left\":10,\"min_border_right\":10,\"output_backend\":\"webgl\"}},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1545\",\"attributes\":{\"name\":\"HSpacer04731\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1472\"},{\"id\":\"p1470\"},{\"id\":\"p1471\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"e402fd3f-bc2c-456d-aae3-e2f9119a358a\",\"roots\":{\"p1469\":\"b12bf2d6-1d41-41bc-8984-f8ae0ce483a6\"},\"root_ids\":[\"p1469\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -2060,25 +2100,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1557'>\n",
-       "  <div id=\"bbeda764-acd5-4846-8fbe-754f981a9308\" data-root-id=\"p1557\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"ca4da9d2-d981-4466-b44b-5ae74031daa4\" data-root-id=\"p1557\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"9bb16274-32dd-416b-84ee-30401943ef96\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1557\",\"attributes\":{\"name\":\"Row05000\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1560\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1641\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1558\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1559\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/native.css\"}}],\"min_width\":450,\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1561\",\"attributes\":{\"name\":\"HSpacer05027\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1560\"},{\"id\":\"p1558\"},{\"id\":\"p1559\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}},{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1572\",\"attributes\":{\"width\":450,\"height\":350,\"margin\":[5,10],\"sizing_mode\":\"fixed\",\"align\":\"start\",\"x_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1562\",\"attributes\":{\"tags\":[[[\"beak length (mm)\",\"beak length (mm)\",null]],[]],\"start\":8.41611111111111,\"end\":16.28388888888889,\"reset_start\":8.41611111111111,\"reset_end\":16.28388888888889}},\"y_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1563\",\"attributes\":{\"tags\":[[[\"beak depth (mm)\",\"beak depth 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+       "  var render_items = [{\"docid\":\"a16b7f24-07ba-4eed-b714-6069fa39cff7\",\"roots\":{\"p1557\":\"ca4da9d2-d981-4466-b44b-5ae74031daa4\"},\"root_ids\":[\"p1557\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -2200,7 +2245,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "                                                                                \r"
+      "                                                                                     \r"
      ]
     }
    ],
@@ -2214,7 +2259,7 @@
    "source": [
     "When we open `finch_plot.html`, the result is a fully interactive plot, self-contained in the HTML file. This file can be emailed to a colleague or even embedded in a publication.\n",
     "\n",
-    "When we discuss [dashboarding](l26_dashboards.ipynb), we will see that we can make even more elaborate, informative interactive plots, though exporting these to standalone HTML is more challenging."
+    "When we discuss [dashboarding](l28_dashboards.ipynb), we will see that we can make even more elaborate, informative interactive plots, though exporting these to standalone HTML is more challenging."
    ]
   },
   {
@@ -2235,7 +2280,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"a247218f-d3d4-4ba2-afa3-16a5558d5946\" data-root-id=\"p1903\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"bc65bbce-3982-4553-bf2a-2d1f90518e03\" data-root-id=\"p1903\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -2246,8 +2291,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"95660466-97da-47df-ba98-bfc3b173146a\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1903\",\"attributes\":{\"width\":450,\"height\":350,\"sizing_mode\":\"fixed\",\"align\":\"start\",\"x_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1893\",\"attributes\":{\"tags\":[[[\"beak length (mm)\",\"beak length (mm)\",null]],[]],\"start\":8.41611111111111,\"end\":16.28388888888889,\"reset_start\":8.41611111111111,\"reset_end\":16.28388888888889}},\"y_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1894\",\"attributes\":{\"tags\":[[[\"beak depth (mm)\",\"beak depth 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+       "  const render_items = [{\"docid\":\"f14d6d39-456c-4795-8b7f-aaec8314c76f\",\"roots\":{\"p1903\":\"bc65bbce-3982-4553-bf2a-2d1f90518e03\"},\"root_ids\":[\"p1903\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -2342,25 +2387,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
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-       "  <div id=\"c2813862-9d4e-4a63-a71f-a02caf978a4b\" data-root-id=\"p1970\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"fe52dd59-26c7-41b9-9d5a-2b44531ef204\" data-root-id=\"p1970\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
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+       "  var render_items = [{\"docid\":\"2341c6b6-3da5-4c61-8bd0-2f2a55cde188\",\"roots\":{\"p1970\":\"fe52dd59-26c7-41b9-9d5a-2b44531ef204\"},\"root_ids\":[\"p1970\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -2466,25 +2516,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p2032'>\n",
-       "  <div id=\"b81140c5-8cc1-4a96-8edb-9303d04efb97\" data-root-id=\"p2032\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"cdbdd297-ba8b-4ae5-a3b8-9905df9b5983\" data-root-id=\"p2032\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
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fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"050b9daa-7cfc-48b5-8936-1c48471a198c\",\"roots\":{\"p2032\":\"cdbdd297-ba8b-4ae5-a3b8-9905df9b5983\"},\"root_ids\":[\"p2032\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -2580,25 +2635,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p2183'>\n",
-       "  <div id=\"ce1c308e-0ed8-428c-847e-59ff4719e7a3\" data-root-id=\"p2183\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"e3ffb494-e683-40f5-815a-f701933299db\" data-root-id=\"p2183\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"61e14e76-c25e-45d6-a84e-6b172cc668e4\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p2183\",\"attributes\":{\"name\":\"Row07832\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p2186\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p2305\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p2184\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p2185\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/native.css\"}}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p2187\",\"attributes\":{\"name\":\"HSpacer07838\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  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400px));\\n}\",{\"id\":\"p2186\"},{\"id\":\"p2184\"},{\"id\":\"p2185\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}},{\"type\":\"object\",\"name\":\"GridPlot\",\"id\":\"p2294\",\"attributes\":{\"rows\":null,\"cols\":null,\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p2301\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p2296\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p2193\",\"attributes\":{\"tags\":[\"hv_created\"],\"renderers\":\"auto\",\"zoom_together\":\"none\"}},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p2245\",\"attributes\":{\"tags\":[\"hv_created\"],\"renderers\":\"auto\",\"zoom_together\":\"none\"}}]}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p2297\"},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p2298\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p2217\"},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p2269\"}]}},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p2299\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p2218\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p2219\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p2270\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p2271\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}}]}},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p2300\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p2224\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p2276\"}]}}]}},\"children\":[[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p2194\",\"attributes\":{\"width\":400,\"height\":250,\"sizing_mode\":\"fixed\",\"align\":\"start\",\"x_range\":{\"type\":\"object\",\"name\":\"FactorRange\",\"id\":\"p2188\",\"attributes\":{\"tags\":[[[\"year_str\",\"year\",null]],[]],\"factors\":[\"1973\",\"1975\",\"1987\",\"1991\",\"2012\"]}},\"y_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p2189\",\"attributes\":{\"tags\":[[[\"beak depth (mm)\",\"beak depth (mm)\",null]],{\"type\":\"map\",\"entries\":[[\"invert_yaxis\",false],[\"autorange\",false]]}],\"start\":6.61,\"end\":12.989999999999998,\"reset_start\":6.61,\"reset_end\":12.989999999999998}},\"x_scale\":{\"type\":\"object\",\"name\":\"CategoricalScale\",\"id\":\"p2204\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p2205\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p2197\",\"attributes\":{\"text\":\"species: 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fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"289782ac-5ded-49c2-b4f2-0bf0e0c81285\",\"roots\":{\"p2183\":\"e3ffb494-e683-40f5-815a-f701933299db\"},\"root_ids\":[\"p2183\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -2719,25 +2779,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p2309'>\n",
-       "  <div id=\"fa0bcbf6-bd27-45fc-9b93-b363367198d5\" data-root-id=\"p2309\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"dbb9744e-4429-458a-8ae3-2ef6156171a5\" data-root-id=\"p2309\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"82ebd05d-d4d4-4ce9-ba02-16de8e003ac6\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p2309\",\"attributes\":{\"name\":\"Row07921\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 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-       "  var render_items = [{\"docid\":\"82ebd05d-d4d4-4ce9-ba02-16de8e003ac6\",\"roots\":{\"p2309\":\"fa0bcbf6-bd27-45fc-9b93-b363367198d5\"},\"root_ids\":[\"p2309\"]}];\n",
+       "  var docs_json = {\"758d6caf-38b9-4afc-bdb6-22710a110b4a\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p2309\",\"attributes\":{\"name\":\"Row07921\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 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fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"758d6caf-38b9-4afc-bdb6-22710a110b4a\",\"roots\":{\"p2309\":\"dbb9744e-4429-458a-8ae3-2ef6156171a5\"},\"root_ids\":[\"p2309\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -2822,9 +2887,14 @@
     "def ecdf_transform(data):\n",
     "    return data.rank(method=\"first\") / len(data)\n",
     "\n",
-    "df_2012[\"beak depth ECDF\"] = df_2012.groupby(\"species\")[\n",
-    "    \"beak depth (mm)\"\n",
-    "].transform(ecdf_transform).values"
+    "\n",
+    "df_2012 = df_2012.assign(\n",
+    "    **{\n",
+    "        \"beak depth ECDF\": df_2012.groupby(\"species\")[\"beak depth (mm)\"]\n",
+    "        .transform(ecdf_transform)\n",
+    "        .values\n",
+    "    }\n",
+    ")"
    ]
   },
   {
@@ -2849,25 +2919,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p2372'>\n",
-       "  <div id=\"b0361460-f273-48de-8483-160ca5ad8dbf\" data-root-id=\"p2372\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"e5e06e41-a29e-481b-9b5e-ba987ccc5960\" data-root-id=\"p2372\" style=\"display: contents;\"></div>\n",
        "</div>\n",
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depth ECDF\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[126],\"dtype\":\"float64\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p2441\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p2442\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p2437\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"beak depth (mm)\"},\"y\":{\"type\":\"field\",\"field\":\"beak depth ECDF\"},\"line_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.75},\"fill_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.75},\"hatch_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.75}}},\"selection_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p2444\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"beak depth (mm)\"},\"y\":{\"type\":\"field\",\"field\":\"beak depth ECDF\"},\"size\":{\"type\":\"value\",\"value\":4},\"angle\":{\"type\":\"value\",\"value\":0.0},\"line_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.75},\"line_width\":{\"type\":\"value\",\"value\":1},\"line_join\":{\"type\":\"value\",\"value\":\"bevel\"},\"line_cap\":{\"type\":\"value\",\"value\":\"butt\"},\"line_dash\":{\"type\":\"value\",\"value\":[]},\"line_dash_offset\":{\"type\":\"value\",\"value\":0},\"fill_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.75},\"hatch_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.75},\"hatch_scale\":{\"type\":\"value\",\"value\":12.0},\"hatch_pattern\":{\"type\":\"value\",\"value\":null},\"hatch_weight\":{\"type\":\"value\",\"value\":1.0},\"marker\":{\"type\":\"value\",\"value\":\"circle\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p2438\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"beak depth (mm)\"},\"y\":{\"type\":\"field\",\"field\":\"beak depth ECDF\"},\"line_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.75},\"fill_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.75},\"hatch_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.1}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p2439\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"beak depth (mm)\"},\"y\":{\"type\":\"field\",\"field\":\"beak depth ECDF\"},\"line_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"fill_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_color\":{\"type\":\"value\",\"value\":\"#ff7e0e\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p2394\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p2382\",\"attributes\":{\"tags\":[\"hv_created\"],\"renderers\":\"auto\",\"zoom_together\":\"none\"}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p2407\"},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p2408\"},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p2409\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p2410\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p2415\"}],\"active_drag\":{\"id\":\"p2408\"},\"active_scroll\":{\"id\":\"p2382\"}}},\"toolbar_location\":\"above\",\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2402\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2403\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2404\"},\"axis_label\":\"ECDF\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2405\"}}}],\"right\":[{\"type\":\"object\",\"name\":\"Legend\",\"id\":\"p2428\",\"attributes\":{\"location\":[10,100],\"title\":\"species\",\"click_policy\":\"hide\",\"label_text_font_size\":\"8pt\",\"items\":[{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2429\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"fortis\"},\"renderers\":[{\"id\":\"p2425\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2443\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"scandens\"},\"renderers\":[{\"id\":\"p2440\"}]}}]}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2397\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2398\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2399\"},\"axis_label\":\"beak depth (mm)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2400\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2401\",\"attributes\":{\"axis\":{\"id\":\"p2397\"},\"ticker\":{\"id\":\"p2398\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2406\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p2402\"},\"ticker\":{\"id\":\"p2403\"}}}],\"min_border_top\":10,\"min_border_bottom\":10,\"min_border_left\":10,\"min_border_right\":10,\"output_backend\":\"webgl\"}},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p2446\",\"attributes\":{\"name\":\"HSpacer07980\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p2375\"},{\"id\":\"p2373\"},{\"id\":\"p2374\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"e97572b0-ffa9-4b9e-9dbf-2f8b4984540e\",\"roots\":{\"p2372\":\"e5e06e41-a29e-481b-9b5e-ba987ccc5960\"},\"root_ids\":[\"p2372\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -2977,10 +3052,10 @@
       "IPython version      : 8.20.0\n",
       "\n",
       "numpy         : 1.26.4\n",
-      "scipy         : 1.13.0\n",
+      "scipy         : 1.13.1\n",
       "pandas        : 2.2.1\n",
       "bootcamp_utils: 0.0.7\n",
-      "bokeh         : 3.4.0\n",
+      "bokeh         : 3.4.1\n",
       "holoviews     : 1.18.3\n",
       "jupyterlab    : 4.0.13\n",
       "\n"
diff --git a/2024/_sources/lessons/l41_altair.ipynb.txt b/2024/_sources/lessons/l41_altair.ipynb.txt
index 109c86db..b87abaa5 100644
--- a/2024/_sources/lessons/l41_altair.ipynb.txt
+++ b/2024/_sources/lessons/l41_altair.ipynb.txt
@@ -40,7 +40,7 @@
    "outputs": [],
    "source": [
     "df = pd.read_csv('data/gfmt_sleep.csv', na_values='*')\n",
-    "df['insomnia'] = df['sci'] <= 16"
+    "df = df.assign(insomnia=df['sci'] <= 16)"
    ]
   },
   {
@@ -62,23 +62,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-531a315b76fc474193d0ff42c9cf0466.vega-embed {\n",
+       "  #altair-viz-6ff02af174f14bd3a7633c42c0af0af5.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-531a315b76fc474193d0ff42c9cf0466.vega-embed details,\n",
-       "  #altair-viz-531a315b76fc474193d0ff42c9cf0466.vega-embed details summary {\n",
+       "  #altair-viz-6ff02af174f14bd3a7633c42c0af0af5.vega-embed details,\n",
+       "  #altair-viz-6ff02af174f14bd3a7633c42c0af0af5.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-531a315b76fc474193d0ff42c9cf0466\"></div>\n",
+       "<div id=\"altair-viz-6ff02af174f14bd3a7633c42c0af0af5\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-531a315b76fc474193d0ff42c9cf0466\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-531a315b76fc474193d0ff42c9cf0466\");\n",
+       "    if (outputDiv.id !== \"altair-viz-6ff02af174f14bd3a7633c42c0af0af5\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-6ff02af174f14bd3a7633c42c0af0af5\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -191,23 +191,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-99eef1a42026412790750797865974d6.vega-embed {\n",
+       "  #altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-99eef1a42026412790750797865974d6.vega-embed details,\n",
-       "  #altair-viz-99eef1a42026412790750797865974d6.vega-embed details summary {\n",
+       "  #altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9.vega-embed details,\n",
+       "  #altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-99eef1a42026412790750797865974d6\"></div>\n",
+       "<div id=\"altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-99eef1a42026412790750797865974d6\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-99eef1a42026412790750797865974d6\");\n",
+       "    if (outputDiv.id !== \"altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -313,23 +313,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34.vega-embed {\n",
+       "  #altair-viz-2f2cfdf4162b441094be52da05fa03ff.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34.vega-embed details,\n",
-       "  #altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34.vega-embed details summary {\n",
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        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34\"></div>\n",
+       "<div id=\"altair-viz-2f2cfdf4162b441094be52da05fa03ff\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34\");\n",
+       "    if (outputDiv.id !== \"altair-viz-2f2cfdf4162b441094be52da05fa03ff\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-2f2cfdf4162b441094be52da05fa03ff\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -414,23 +414,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-1c8e00fbed6a494c8c4cefc6315c901a.vega-embed {\n",
+       "  #altair-viz-7ddb269646d94fe6bc1fe95c0adf6771.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
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        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-1c8e00fbed6a494c8c4cefc6315c901a\"></div>\n",
+       "<div id=\"altair-viz-7ddb269646d94fe6bc1fe95c0adf6771\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-1c8e00fbed6a494c8c4cefc6315c901a\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-1c8e00fbed6a494c8c4cefc6315c901a\");\n",
+       "    if (outputDiv.id !== \"altair-viz-7ddb269646d94fe6bc1fe95c0adf6771\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-7ddb269646d94fe6bc1fe95c0adf6771\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -520,23 +520,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-f9a4db84d9514548ab292850592e73fa.vega-embed {\n",
+       "  #altair-viz-450267754f604feea9407ec947bc9ca9.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
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-       "  #altair-viz-f9a4db84d9514548ab292850592e73fa.vega-embed details summary {\n",
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        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-f9a4db84d9514548ab292850592e73fa\"></div>\n",
+       "<div id=\"altair-viz-450267754f604feea9407ec947bc9ca9\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-f9a4db84d9514548ab292850592e73fa\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-f9a4db84d9514548ab292850592e73fa\");\n",
+       "    if (outputDiv.id !== \"altair-viz-450267754f604feea9407ec947bc9ca9\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-450267754f604feea9407ec947bc9ca9\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -629,23 +629,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-28ef80d44adb4a0989cbcb811d27c9f7.vega-embed {\n",
+       "  #altair-viz-36f7d4b47d1a457a936742c54e5b7c38.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-28ef80d44adb4a0989cbcb811d27c9f7.vega-embed details,\n",
-       "  #altair-viz-28ef80d44adb4a0989cbcb811d27c9f7.vega-embed details summary {\n",
+       "  #altair-viz-36f7d4b47d1a457a936742c54e5b7c38.vega-embed details,\n",
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        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-28ef80d44adb4a0989cbcb811d27c9f7\"></div>\n",
+       "<div id=\"altair-viz-36f7d4b47d1a457a936742c54e5b7c38\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-28ef80d44adb4a0989cbcb811d27c9f7\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-28ef80d44adb4a0989cbcb811d27c9f7\");\n",
+       "    if (outputDiv.id !== \"altair-viz-36f7d4b47d1a457a936742c54e5b7c38\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-36f7d4b47d1a457a936742c54e5b7c38\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -730,23 +730,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-a82ad945eddd4df5a383a71a0cc0dc87.vega-embed {\n",
+       "  #altair-viz-41a41e709c4e4ddf988af6c307adad14.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-a82ad945eddd4df5a383a71a0cc0dc87.vega-embed details,\n",
-       "  #altair-viz-a82ad945eddd4df5a383a71a0cc0dc87.vega-embed details summary {\n",
+       "  #altair-viz-41a41e709c4e4ddf988af6c307adad14.vega-embed details,\n",
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        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-a82ad945eddd4df5a383a71a0cc0dc87\"></div>\n",
+       "<div id=\"altair-viz-41a41e709c4e4ddf988af6c307adad14\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-a82ad945eddd4df5a383a71a0cc0dc87\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-a82ad945eddd4df5a383a71a0cc0dc87\");\n",
+       "    if (outputDiv.id !== \"altair-viz-41a41e709c4e4ddf988af6c307adad14\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-41a41e709c4e4ddf988af6c307adad14\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
diff --git a/2024/_sources/lessons/l42_more_altair.ipynb.txt b/2024/_sources/lessons/l42_more_altair.ipynb.txt
index 74bc06f0..a48279a3 100644
--- a/2024/_sources/lessons/l42_more_altair.ipynb.txt
+++ b/2024/_sources/lessons/l42_more_altair.ipynb.txt
@@ -250,23 +250,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-8b04dc640af0408cadc08e2c6d1a877f.vega-embed {\n",
+       "  #altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-8b04dc640af0408cadc08e2c6d1a877f.vega-embed details,\n",
-       "  #altair-viz-8b04dc640af0408cadc08e2c6d1a877f.vega-embed details summary {\n",
+       "  #altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce.vega-embed details,\n",
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        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-8b04dc640af0408cadc08e2c6d1a877f\"></div>\n",
+       "<div id=\"altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-8b04dc640af0408cadc08e2c6d1a877f\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-8b04dc640af0408cadc08e2c6d1a877f\");\n",
+       "    if (outputDiv.id !== \"altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -353,23 +353,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-54a72b022d944e58a2c2c76403ab1c4b.vega-embed {\n",
+       "  #altair-viz-f7a4f9fa9a2c4cfd99cb3f4617aec0a1.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-54a72b022d944e58a2c2c76403ab1c4b.vega-embed details,\n",
-       "  #altair-viz-54a72b022d944e58a2c2c76403ab1c4b.vega-embed details summary {\n",
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        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-54a72b022d944e58a2c2c76403ab1c4b\"></div>\n",
+       "<div id=\"altair-viz-f7a4f9fa9a2c4cfd99cb3f4617aec0a1\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-54a72b022d944e58a2c2c76403ab1c4b\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-54a72b022d944e58a2c2c76403ab1c4b\");\n",
+       "    if (outputDiv.id !== \"altair-viz-f7a4f9fa9a2c4cfd99cb3f4617aec0a1\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-f7a4f9fa9a2c4cfd99cb3f4617aec0a1\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -475,23 +475,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7.vega-embed {\n",
+       "  #altair-viz-16da14d0f2714a55b6ce13374c5202a7.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7.vega-embed details,\n",
-       "  #altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7.vega-embed details summary {\n",
+       "  #altair-viz-16da14d0f2714a55b6ce13374c5202a7.vega-embed details,\n",
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        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7\"></div>\n",
+       "<div id=\"altair-viz-16da14d0f2714a55b6ce13374c5202a7\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7\");\n",
+       "    if (outputDiv.id !== \"altair-viz-16da14d0f2714a55b6ce13374c5202a7\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-16da14d0f2714a55b6ce13374c5202a7\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -600,23 +600,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-93b3985ecf0f4d5884290635215779d1.vega-embed {\n",
+       "  #altair-viz-812739c44b6f470c940969bb7d335f1e.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-93b3985ecf0f4d5884290635215779d1.vega-embed details,\n",
-       "  #altair-viz-93b3985ecf0f4d5884290635215779d1.vega-embed details summary {\n",
+       "  #altair-viz-812739c44b6f470c940969bb7d335f1e.vega-embed details,\n",
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        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-93b3985ecf0f4d5884290635215779d1\"></div>\n",
+       "<div id=\"altair-viz-812739c44b6f470c940969bb7d335f1e\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-93b3985ecf0f4d5884290635215779d1\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-93b3985ecf0f4d5884290635215779d1\");\n",
+       "    if (outputDiv.id !== \"altair-viz-812739c44b6f470c940969bb7d335f1e\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-812739c44b6f470c940969bb7d335f1e\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -709,23 +709,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-6fea39f19c27432a9d55df8776d60d1d.vega-embed {\n",
+       "  #altair-viz-729846533f704a1085510338b1df0667.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-6fea39f19c27432a9d55df8776d60d1d.vega-embed details,\n",
-       "  #altair-viz-6fea39f19c27432a9d55df8776d60d1d.vega-embed details summary {\n",
+       "  #altair-viz-729846533f704a1085510338b1df0667.vega-embed details,\n",
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        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-6fea39f19c27432a9d55df8776d60d1d\"></div>\n",
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        "<script type=\"text/javascript\">\n",
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+       "    if (outputDiv.id !== \"altair-viz-729846533f704a1085510338b1df0667\") {\n",
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        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -828,23 +828,23 @@
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        "\n",
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-       "  #altair-viz-e4ef56880463474e9bb25f669162b932.vega-embed {\n",
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-       "  #altair-viz-e4ef56880463474e9bb25f669162b932.vega-embed details summary {\n",
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        "<script type=\"text/javascript\">\n",
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@@ -933,23 +933,23 @@
       "text/html": [
        "\n",
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-       "  #altair-viz-effdcaf944264c30bf34603c337a658c.vega-embed {\n",
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@@ -1040,23 +1040,23 @@
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-       "<div id=\"altair-viz-ea5f22c732dd4156b034124e4cc7337e\"></div>\n",
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@@ -1153,23 +1153,23 @@
       "text/html": [
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@@ -1455,23 +1455,23 @@
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+       "  #altair-viz-5be88da9b5d845778fbd8f6dc90d9b12.vega-embed details,\n",
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        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-34dd1d851e214d83aa46916f8a9e7860\"></div>\n",
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        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
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@@ -1517,7 +1517,7 @@
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        "        .then(() => displayChart(vegaEmbed));\n",
        "    }\n",
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+       "  })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}, \"scale\": {\"bandPaddingInner\": 0.5}}, \"layer\": [{\"mark\": {\"type\": \"bar\"}, \"encoding\": {\"x\": {\"field\": \"mean\", \"title\": \"impact force (mN)\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"ID\", \"title\": \"Frog ID\", \"type\": \"nominal\"}}}, {\"mark\": {\"type\": \"rule\"}, \"encoding\": {\"x\": {\"field\": \"error_low\", \"type\": \"quantitative\"}, \"x2\": {\"field\": \"error_high\"}, \"y\": {\"field\": \"ID\", \"title\": \"Frog ID\", \"type\": \"nominal\"}}}], \"data\": {\"name\": \"data-5df560a9e2ae837878b18363f4cfd683\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.17.0.json\", \"datasets\": {\"data-5df560a9e2ae837878b18363f4cfd683\": [{\"ID\": \"I\", \"mean\": 1530.2, \"sem\": 140.91878213316613, \"error_low\": 1253.9991870189945, \"error_high\": 1806.4008129810056}, {\"ID\": \"II\", \"mean\": 707.35, \"sem\": 94.93746626069183, \"error_low\": 521.272566129044, \"error_high\": 893.4274338709561}, {\"ID\": \"III\", \"mean\": 550.1, \"sem\": 27.788477354547705, \"error_low\": 495.6345843850865, \"error_high\": 604.5654156149135}, {\"ID\": \"IV\", \"mean\": 419.1, \"sem\": 52.51726032057411, \"error_low\": 316.1661697716748, \"error_high\": 522.0338302283253}]}}, {\"mode\": \"vega-lite\"});\n",
        "</script>"
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       "text/plain": [
@@ -1599,23 +1599,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-f19692c372004ff8bf149352bbc69d95.vega-embed {\n",
+       "  #altair-viz-b7d4c4dc45a447d2a34805fa9b018afa.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-f19692c372004ff8bf149352bbc69d95.vega-embed details,\n",
-       "  #altair-viz-f19692c372004ff8bf149352bbc69d95.vega-embed details summary {\n",
+       "  #altair-viz-b7d4c4dc45a447d2a34805fa9b018afa.vega-embed details,\n",
+       "  #altair-viz-b7d4c4dc45a447d2a34805fa9b018afa.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-f19692c372004ff8bf149352bbc69d95\"></div>\n",
+       "<div id=\"altair-viz-b7d4c4dc45a447d2a34805fa9b018afa\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
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+       "    if (outputDiv.id !== \"altair-viz-b7d4c4dc45a447d2a34805fa9b018afa\") {\n",
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diff --git a/2024/exercises/exercise_1/exercise_1.1.html b/2024/exercises/exercise_1/exercise_1.1.html
index 584e7843..61af0488 100644
--- a/2024/exercises/exercise_1/exercise_1.1.html
+++ b/2024/exercises/exercise_1/exercise_1.1.html
@@ -213,7 +213,7 @@ <h1>Exercise 1.1: Command line exercises<a class="headerlink" href="#Exercise-1.
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1375ca790> 
+   <jinja2.runtime.BlockReference object at 0x1390e9290> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/exercises/exercise_1/exercise_1.2.html b/2024/exercises/exercise_1/exercise_1.2.html
index a4bae186..c8e6daa8 100644
--- a/2024/exercises/exercise_1/exercise_1.2.html
+++ b/2024/exercises/exercise_1/exercise_1.2.html
@@ -211,7 +211,7 @@ <h1>Exercise 1.2: Making an rc file<a class="headerlink" href="#Exercise-1.2:-Ma
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x13768b310> 
+   <jinja2.runtime.BlockReference object at 0x1392c5650> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/exercises/exercise_1/exercise_1.3.html b/2024/exercises/exercise_1/exercise_1.3.html
index 74651be1..b832ba77 100644
--- a/2024/exercises/exercise_1/exercise_1.3.html
+++ b/2024/exercises/exercise_1/exercise_1.3.html
@@ -203,7 +203,7 @@ <h1>Exercise 1.3: Time and type conversions<a class="headerlink" href="#Exercise
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157582e50> 
+   <jinja2.runtime.BlockReference object at 0x14d6e6290> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/exercises/exercise_1/exercise_1.4.html b/2024/exercises/exercise_1/exercise_1.4.html
index efb8c48f..9d65aeea 100644
--- a/2024/exercises/exercise_1/exercise_1.4.html
+++ b/2024/exercises/exercise_1/exercise_1.4.html
@@ -195,7 +195,7 @@ <h1>Exercise 1.4: Using string methods<a class="headerlink" href="#Exercise-1.4:
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157546350> 
+   <jinja2.runtime.BlockReference object at 0x14d68d850> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/exercises/exercise_1/exercise_1.5.html b/2024/exercises/exercise_1/exercise_1.5.html
index bd28e098..f4519ae5 100644
--- a/2024/exercises/exercise_1/exercise_1.5.html
+++ b/2024/exercises/exercise_1/exercise_1.5.html
@@ -229,7 +229,7 @@ <h1>Exercise 1.5: Longest common substring<a class="headerlink" href="#Exercise-
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1575498d0> 
+   <jinja2.runtime.BlockReference object at 0x14d6a2750> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/exercises/exercise_1/exercise_1.6.html b/2024/exercises/exercise_1/exercise_1.6.html
index 29676a99..176d1763 100644
--- a/2024/exercises/exercise_1/exercise_1.6.html
+++ b/2024/exercises/exercise_1/exercise_1.6.html
@@ -235,7 +235,7 @@ <h2>RNA secondary structure validator<a class="headerlink" href="#RNA-secondary-
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157634550> 
+   <jinja2.runtime.BlockReference object at 0x14d78b610> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/exercises/exercise_1/index.html b/2024/exercises/exercise_1/index.html
index 5712892a..e8909b15 100644
--- a/2024/exercises/exercise_1/index.html
+++ b/2024/exercises/exercise_1/index.html
@@ -202,7 +202,7 @@ <h1>Exercise 1<a class="headerlink" href="#exercise-1" title="Link to this headi
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1575fa410> 
+   <jinja2.runtime.BlockReference object at 0x14d76aed0> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/exercises/exercise_2/exercise_2.1.html b/2024/exercises/exercise_2/exercise_2.1.html
index 3791a285..bd56adab 100644
--- a/2024/exercises/exercise_2/exercise_2.1.html
+++ b/2024/exercises/exercise_2/exercise_2.1.html
@@ -196,7 +196,7 @@ <h1>Exercise 2.1: Parsing a FASTA file<a class="headerlink" href="#Exercise-2.1:
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x15765f390> 
+   <jinja2.runtime.BlockReference object at 0x14d7c3a90> 
 
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diff --git a/2024/exercises/exercise_2/exercise_2.2.html b/2024/exercises/exercise_2/exercise_2.2.html
index 9f4b7145..8b1f789d 100644
--- a/2024/exercises/exercise_2/exercise_2.2.html
+++ b/2024/exercises/exercise_2/exercise_2.2.html
@@ -216,7 +216,7 @@ <h1>Exercise 2.2: Restriction enzyme cut sites<a class="headerlink" href="#Exerc
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157640290> 
+   <jinja2.runtime.BlockReference object at 0x14d7f1590> 
 
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diff --git a/2024/exercises/exercise_2/exercise_2.3.html b/2024/exercises/exercise_2/exercise_2.3.html
index 1a30cd2d..058b3a3e 100644
--- a/2024/exercises/exercise_2/exercise_2.3.html
+++ b/2024/exercises/exercise_2/exercise_2.3.html
@@ -214,7 +214,7 @@ <h1>Exercise 2.3: Pathogenicity islands<a class="headerlink" href="#Exercise-2.3
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x15759c690> 
+   <jinja2.runtime.BlockReference object at 0x14d6fe010> 
 
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diff --git a/2024/exercises/exercise_2/exercise_2.4.html b/2024/exercises/exercise_2/exercise_2.4.html
index efc90a9f..bc1c5908 100644
--- a/2024/exercises/exercise_2/exercise_2.4.html
+++ b/2024/exercises/exercise_2/exercise_2.4.html
@@ -207,7 +207,7 @@ <h1>Exercise 2.4: ORF detection<a class="headerlink" href="#Exercise-2.4:-ORF-de
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1576fadd0> 
+   <jinja2.runtime.BlockReference object at 0x14d8562d0> 
 
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diff --git a/2024/exercises/exercise_2/index.html b/2024/exercises/exercise_2/index.html
index 8c58c511..8195eaab 100644
--- a/2024/exercises/exercise_2/index.html
+++ b/2024/exercises/exercise_2/index.html
@@ -198,7 +198,7 @@ <h1>Exercise 2<a class="headerlink" href="#exercise-2" title="Link to this headi
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157636dd0> 
+   <jinja2.runtime.BlockReference object at 0x14d6f7050> 
 
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diff --git a/2024/exercises/exercise_3/exercise_3.1.html b/2024/exercises/exercise_3/exercise_3.1.html
index 07253db7..f4811d82 100644
--- a/2024/exercises/exercise_3/exercise_3.1.html
+++ b/2024/exercises/exercise_3/exercise_3.1.html
@@ -236,7 +236,7 @@ <h1>Exercise 3.1: Mastering .loc for Pandas data frames<a class="headerlink" hre
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157749e90> 
+   <jinja2.runtime.BlockReference object at 0x14d8a8c10> 
 
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diff --git a/2024/exercises/exercise_3/exercise_3.2.html b/2024/exercises/exercise_3/exercise_3.2.html
index 9a18f75b..ae60f74e 100644
--- a/2024/exercises/exercise_3/exercise_3.2.html
+++ b/2024/exercises/exercise_3/exercise_3.2.html
@@ -197,7 +197,7 @@ <h1>Exercise 3.2: Split-Apply-Combine of the frog data set<a class="headerlink"
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x15777b410> 
+   <jinja2.runtime.BlockReference object at 0x14d8db090> 
 
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diff --git a/2024/exercises/exercise_3/exercise_3.3.html b/2024/exercises/exercise_3/exercise_3.3.html
index a88f0bce..0a9a31a1 100644
--- a/2024/exercises/exercise_3/exercise_3.3.html
+++ b/2024/exercises/exercise_3/exercise_3.3.html
@@ -255,7 +255,7 @@ <h1>Exercise 3.3: Adding data to a data frame<a class="headerlink" href="#Exerci
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1575f86d0> 
+   <jinja2.runtime.BlockReference object at 0x14d7cebd0> 
 
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diff --git a/2024/exercises/exercise_3/exercise_3.4.html b/2024/exercises/exercise_3/exercise_3.4.html
index 6fa8edfd..8dcee78c 100644
--- a/2024/exercises/exercise_3/exercise_3.4.html
+++ b/2024/exercises/exercise_3/exercise_3.4.html
@@ -239,7 +239,7 @@ <h1>Exercise 3.4: Axes with logarithmic scale and error bars<a class="headerlink
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157582250> 
+   <jinja2.runtime.BlockReference object at 0x14d796990> 
 
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diff --git a/2024/exercises/exercise_3/exercise_3.5.html b/2024/exercises/exercise_3/exercise_3.5.html
index bd314c9a..c4af5c19 100644
--- a/2024/exercises/exercise_3/exercise_3.5.html
+++ b/2024/exercises/exercise_3/exercise_3.5.html
@@ -205,7 +205,7 @@ <h1>Exercise 3.5: Automating scatter plots<a class="headerlink" href="#Exercise-
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1578005d0> 
+   <jinja2.runtime.BlockReference object at 0x14d95ff50> 
 
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diff --git a/2024/exercises/exercise_3/index.html b/2024/exercises/exercise_3/index.html
index 1cb372f9..2b7deef9 100644
--- a/2024/exercises/exercise_3/index.html
+++ b/2024/exercises/exercise_3/index.html
@@ -200,7 +200,7 @@ <h1>Exercise 3<a class="headerlink" href="#exercise-3" title="Link to this headi
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1575fd010> 
+   <jinja2.runtime.BlockReference object at 0x14d75da10> 
 
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diff --git a/2024/exercises/exercise_4/exercise_4.1.html b/2024/exercises/exercise_4/exercise_4.1.html
index 303a09c0..e472b6aa 100644
--- a/2024/exercises/exercise_4/exercise_4.1.html
+++ b/2024/exercises/exercise_4/exercise_4.1.html
@@ -220,7 +220,7 @@ <h1>Exercise 4.1: Long-term trends in hybridization of Darwin finches<a class="h
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157875d90> 
+   <jinja2.runtime.BlockReference object at 0x14d9d9250> 
 
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diff --git a/2024/exercises/exercise_4/exercise_4.2.html b/2024/exercises/exercise_4/exercise_4.2.html
index 6a01c066..411098ca 100644
--- a/2024/exercises/exercise_4/exercise_4.2.html
+++ b/2024/exercises/exercise_4/exercise_4.2.html
@@ -217,7 +217,7 @@ <h1>Exercise 4.2: Computing things!<a class="headerlink" href="#Exercise-4.2:-Co
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x15779ea10> 
+   <jinja2.runtime.BlockReference object at 0x14d8d6310> 
 
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diff --git a/2024/exercises/exercise_4/exercise_4.3.html b/2024/exercises/exercise_4/exercise_4.3.html
index 048be9b1..98b51983 100644
--- a/2024/exercises/exercise_4/exercise_4.3.html
+++ b/2024/exercises/exercise_4/exercise_4.3.html
@@ -237,7 +237,7 @@ <h1>Exercise 4.3: Working with two-dimensional arrays<a class="headerlink" href=
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x15773bc50> 
+   <jinja2.runtime.BlockReference object at 0x14d76ba50> 
 
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diff --git a/2024/exercises/exercise_4/exercise_4.4.html b/2024/exercises/exercise_4/exercise_4.4.html
index c6abf38b..bcbf8f31 100644
--- a/2024/exercises/exercise_4/exercise_4.4.html
+++ b/2024/exercises/exercise_4/exercise_4.4.html
@@ -587,7 +587,7 @@ <h1>Exercise 4.4: Understanding and building ECDFs<a class="headerlink" href="#E
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1578cb250> 
+   <jinja2.runtime.BlockReference object at 0x14da2e5d0> 
 
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diff --git a/2024/exercises/exercise_4/exercise_4.5.html b/2024/exercises/exercise_4/exercise_4.5.html
index 27ef91e3..86d1a10a 100644
--- a/2024/exercises/exercise_4/exercise_4.5.html
+++ b/2024/exercises/exercise_4/exercise_4.5.html
@@ -284,7 +284,7 @@ <h1>Exercise 4.5: Data collapse<a class="headerlink" href="#Exercise-4.5:-Data-c
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157546350> 
+   <jinja2.runtime.BlockReference object at 0x14d9e4bd0> 
 
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diff --git a/2024/exercises/exercise_4/index.html b/2024/exercises/exercise_4/index.html
index fbbe334f..456c06db 100644
--- a/2024/exercises/exercise_4/index.html
+++ b/2024/exercises/exercise_4/index.html
@@ -200,7 +200,7 @@ <h1>Exercise 4<a class="headerlink" href="#exercise-4" title="Link to this headi
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1578b1850> 
+   <jinja2.runtime.BlockReference object at 0x14da12310> 
 
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diff --git a/2024/exercises/exercise_5/exercise_5.1.html b/2024/exercises/exercise_5/exercise_5.1.html
index 90c9f495..ad2b9e83 100644
--- a/2024/exercises/exercise_5/exercise_5.1.html
+++ b/2024/exercises/exercise_5/exercise_5.1.html
@@ -209,7 +209,7 @@ <h1>Exercise 5.1: Writing functions for bootstrap replicates<a class="headerlink
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x15793f450> 
+   <jinja2.runtime.BlockReference object at 0x14daa2810> 
 
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diff --git a/2024/exercises/exercise_5/exercise_5.10.html b/2024/exercises/exercise_5/exercise_5.10.html
index 91bcf66f..e160e68e 100644
--- a/2024/exercises/exercise_5/exercise_5.10.html
+++ b/2024/exercises/exercise_5/exercise_5.10.html
@@ -214,7 +214,7 @@ <h1>Exercise 5.10: Growth curves from a movie<a class="headerlink" href="#Exerci
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1578757d0> 
+   <jinja2.runtime.BlockReference object at 0x14d9c2f90> 
 
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diff --git a/2024/exercises/exercise_5/exercise_5.11.html b/2024/exercises/exercise_5/exercise_5.11.html
index 3c693589..45a5ce2b 100644
--- a/2024/exercises/exercise_5/exercise_5.11.html
+++ b/2024/exercises/exercise_5/exercise_5.11.html
@@ -209,7 +209,7 @@ <h1>Exercise 5.11: Filter, extract, rinse, repeat<a class="headerlink" href="#Ex
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1579b24d0> 
+   <jinja2.runtime.BlockReference object at 0x14db15cd0> 
 
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diff --git a/2024/exercises/exercise_5/exercise_5.12.html b/2024/exercises/exercise_5/exercise_5.12.html
index 16ae5077..e16d70eb 100644
--- a/2024/exercises/exercise_5/exercise_5.12.html
+++ b/2024/exercises/exercise_5/exercise_5.12.html
@@ -202,7 +202,7 @@ <h1>Exercise 5.12: Building and Etch-A-Sketch<a class="headerlink" href="#Exerci
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157982310> 
+   <jinja2.runtime.BlockReference object at 0x14daeae50> 
 
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diff --git a/2024/exercises/exercise_5/exercise_5.2.html b/2024/exercises/exercise_5/exercise_5.2.html
index 729de8cb..2e5dd5aa 100644
--- a/2024/exercises/exercise_5/exercise_5.2.html
+++ b/2024/exercises/exercise_5/exercise_5.2.html
@@ -207,7 +207,7 @@ <h1>Exercise 5.2: Hacker stats with bee sperm data<a class="headerlink" href="#E
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157973b50> 
+   <jinja2.runtime.BlockReference object at 0x14dadb110> 
 
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diff --git a/2024/exercises/exercise_5/exercise_5.3.html b/2024/exercises/exercise_5/exercise_5.3.html
index fe4cd0d5..9caaf312 100644
--- a/2024/exercises/exercise_5/exercise_5.3.html
+++ b/2024/exercises/exercise_5/exercise_5.3.html
@@ -204,7 +204,7 @@ <h1>Exercise 5.3: Bootstrapping “theory” with hacker stats<a class="headerli
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157a1ea90> 
+   <jinja2.runtime.BlockReference object at 0x14db86510> 
 
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diff --git a/2024/exercises/exercise_5/exercise_5.4.html b/2024/exercises/exercise_5/exercise_5.4.html
index 9ad70128..9c0ec208 100644
--- a/2024/exercises/exercise_5/exercise_5.4.html
+++ b/2024/exercises/exercise_5/exercise_5.4.html
@@ -229,7 +229,7 @@ <h1>Exercise 5.4: Monte Carlo simulation of transcriptional pausing<a class="hea
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1579cc690> 
+   <jinja2.runtime.BlockReference object at 0x14db94a90> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/exercises/exercise_5/exercise_5.5.html b/2024/exercises/exercise_5/exercise_5.5.html
index c71a8111..ded4e09e 100644
--- a/2024/exercises/exercise_5/exercise_5.5.html
+++ b/2024/exercises/exercise_5/exercise_5.5.html
@@ -201,7 +201,7 @@ <h1>Exercise 5.5: Heat maps with Bokeh<a class="headerlink" href="#Exercise-5.5:
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157a14d10> 
+   <jinja2.runtime.BlockReference object at 0x14d9b9210> 
 
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diff --git a/2024/exercises/exercise_5/exercise_5.6.html b/2024/exercises/exercise_5/exercise_5.6.html
index face7bdc..bbf078f4 100644
--- a/2024/exercises/exercise_5/exercise_5.6.html
+++ b/2024/exercises/exercise_5/exercise_5.6.html
@@ -201,7 +201,7 @@ <h1>Exercise 5.6: Building dashboards<a class="headerlink" href="#Exercise-5.6:-
       </span></p>
   </div>
 
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 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/exercises/exercise_5/exercise_5.7.html b/2024/exercises/exercise_5/exercise_5.7.html
index f071cd0e..d4be6c49 100644
--- a/2024/exercises/exercise_5/exercise_5.7.html
+++ b/2024/exercises/exercise_5/exercise_5.7.html
@@ -228,7 +228,7 @@ <h1>Exercise 5.7: Making a stand-alone app for exploring parameters<a class="hea
       </span></p>
   </div>
 
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diff --git a/2024/exercises/exercise_5/exercise_5.8.html b/2024/exercises/exercise_5/exercise_5.8.html
index 390e3054..df95c5c2 100644
--- a/2024/exercises/exercise_5/exercise_5.8.html
+++ b/2024/exercises/exercise_5/exercise_5.8.html
@@ -200,7 +200,7 @@ <h1>Exercise 5.8: Detecting dropped frames<a class="headerlink" href="#Exercise-
       </span></p>
   </div>
 
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diff --git a/2024/exercises/exercise_5/exercise_5.9.html b/2024/exercises/exercise_5/exercise_5.9.html
index 59bdcf58..510756b4 100644
--- a/2024/exercises/exercise_5/exercise_5.9.html
+++ b/2024/exercises/exercise_5/exercise_5.9.html
@@ -212,7 +212,7 @@ <h1>Exercise 5.9: Writing your own segmentation function<a class="headerlink" hr
       </span></p>
   </div>
 
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diff --git a/2024/exercises/exercise_5/index.html b/2024/exercises/exercise_5/index.html
index 1998ca7d..ad068b64 100644
--- a/2024/exercises/exercise_5/index.html
+++ b/2024/exercises/exercise_5/index.html
@@ -214,7 +214,7 @@ <h1>Exercise 5<a class="headerlink" href="#exercise-5" title="Link to this headi
       </span></p>
   </div>
 
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diff --git a/2024/genindex.html b/2024/genindex.html
index 43724d3c..6b811ab2 100644
--- a/2024/genindex.html
+++ b/2024/genindex.html
@@ -175,7 +175,7 @@ <h1 id="index">Index</h1>
       </span></p>
   </div>
 
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diff --git a/2024/index.html b/2024/index.html
index 114bbab3..110c5bc5 100644
--- a/2024/index.html
+++ b/2024/index.html
@@ -292,7 +292,7 @@ <h2>Git repository<a class="headerlink" href="#git-repository" title="Link to th
       </span></p>
   </div>
 
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diff --git a/2024/lessons/Untitled.html b/2024/lessons/Untitled.html
index 9e752992..7cdac570 100644
--- a/2024/lessons/Untitled.html
+++ b/2024/lessons/Untitled.html
@@ -2247,7 +2247,7 @@
       </span></p>
   </div>
 
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diff --git a/2024/lessons/Untitled1.html b/2024/lessons/Untitled1.html
index 8ea507a3..565bfc6b 100644
--- a/2024/lessons/Untitled1.html
+++ b/2024/lessons/Untitled1.html
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       </span></p>
   </div>
 
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diff --git a/2024/lessons/Untitled2.html b/2024/lessons/Untitled2.html
index c7d75069..b0bb3221 100644
--- a/2024/lessons/Untitled2.html
+++ b/2024/lessons/Untitled2.html
@@ -185,7 +185,7 @@
       </span></p>
   </div>
 
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diff --git a/2024/lessons/l00_configuring_your_computer.html b/2024/lessons/l00_configuring_your_computer.html
index d07e4eb5..0a78a7a7 100644
--- a/2024/lessons/l00_configuring_your_computer.html
+++ b/2024/lessons/l00_configuring_your_computer.html
@@ -820,7 +820,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
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diff --git a/2024/lessons/l01_welcome.html b/2024/lessons/l01_welcome.html
index 8d8a770f..b7f1b7d1 100644
--- a/2024/lessons/l01_welcome.html
+++ b/2024/lessons/l01_welcome.html
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       </span></p>
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diff --git a/2024/lessons/l02_basic_command_line_skills.html b/2024/lessons/l02_basic_command_line_skills.html
index 8629cf64..8f858869 100644
--- a/2024/lessons/l02_basic_command_line_skills.html
+++ b/2024/lessons/l02_basic_command_line_skills.html
@@ -485,7 +485,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
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diff --git a/2024/lessons/l03_variables_operators_types.html b/2024/lessons/l03_variables_operators_types.html
index 42739e6c..b72b9aa8 100644
--- a/2024/lessons/l03_variables_operators_types.html
+++ b/2024/lessons/l03_variables_operators_types.html
@@ -1259,7 +1259,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
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diff --git a/2024/lessons/l04_more_operators_and_conditionals.html b/2024/lessons/l04_more_operators_and_conditionals.html
index 0daf28b1..3fedcba8 100644
--- a/2024/lessons/l04_more_operators_and_conditionals.html
+++ b/2024/lessons/l04_more_operators_and_conditionals.html
@@ -1309,7 +1309,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
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diff --git a/2024/lessons/l05_lists_and_tuples.html b/2024/lessons/l05_lists_and_tuples.html
index fd30343b..377061b8 100644
--- a/2024/lessons/l05_lists_and_tuples.html
+++ b/2024/lessons/l05_lists_and_tuples.html
@@ -1313,7 +1313,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
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diff --git a/2024/lessons/l06_iteration.html b/2024/lessons/l06_iteration.html
index 741f3951..b4e5f9db 100644
--- a/2024/lessons/l06_iteration.html
+++ b/2024/lessons/l06_iteration.html
@@ -806,7 +806,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
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diff --git a/2024/lessons/l07_intro_to_functions.html b/2024/lessons/l07_intro_to_functions.html
index df5960e5..485ff58e 100644
--- a/2024/lessons/l07_intro_to_functions.html
+++ b/2024/lessons/l07_intro_to_functions.html
@@ -766,7 +766,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
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diff --git a/2024/lessons/l08_string_methods.html b/2024/lessons/l08_string_methods.html
index 5fdb2d6b..901ca1f1 100644
--- a/2024/lessons/l08_string_methods.html
+++ b/2024/lessons/l08_string_methods.html
@@ -705,7 +705,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
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diff --git a/2024/lessons/l09_dictionaries.html b/2024/lessons/l09_dictionaries.html
index 39d0834d..e8a61052 100644
--- a/2024/lessons/l09_dictionaries.html
+++ b/2024/lessons/l09_dictionaries.html
@@ -1032,7 +1032,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
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diff --git a/2024/lessons/l10_packages_and_modules.html b/2024/lessons/l10_packages_and_modules.html
index a6100f83..922a8f89 100644
--- a/2024/lessons/l10_packages_and_modules.html
+++ b/2024/lessons/l10_packages_and_modules.html
@@ -599,7 +599,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
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diff --git a/2024/lessons/l11_file_io.html b/2024/lessons/l11_file_io.html
index 862e8c7e..ac68e89d 100644
--- a/2024/lessons/l11_file_io.html
+++ b/2024/lessons/l11_file_io.html
@@ -711,7 +711,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
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diff --git a/2024/lessons/l12_version_control_with_git.html b/2024/lessons/l12_version_control_with_git.html
index 0a797fea..a9887ad4 100644
--- a/2024/lessons/l12_version_control_with_git.html
+++ b/2024/lessons/l12_version_control_with_git.html
@@ -282,7 +282,7 @@ <h3>Relationships among your local machine, your fork, and upstream<a class="hea
 <h2>Creating your own repository<a class="headerlink" href="#Creating-your-own-repository" title="Link to this heading"></a></h2>
 <p>Now, you will create your own repository for practice. For this bootcamp, let’s name the repository with your initials followed by <code class="docutils literal notranslate"><span class="pre">_bootcamp</span></code>. In my case, my repository is <code class="docutils literal notranslate"><span class="pre">jb_bootcamp</span></code>.</p>
 <p>Only in rare circumstances would you not want to host your repository remotely, so we will take an easy path toward creating a repository using GitHub. Prior to the bootcamp, you all should have set up a GitHub account. Log in to GitHub. In the upper right corner of the page, click on the “<strong>``+``</strong>” icon and select “New repository.” You will then get a page that looks like this:</p>
-<center><p><img alt="fcefa2ddc2dc4756a7cdfe14403dbd8c" class="no-scaled-link" src="../_images/github2.png" style="width: 600px;" /></p>
+<center><p><img alt="bdb5b43b6a34490fbd7ce1723a1009b2" class="no-scaled-link" src="../_images/github2.png" style="width: 600px;" /></p>
 </center><p>I called the new repository <code class="docutils literal notranslate"><span class="pre">jb_bootcamp</span></code> (yours will obviously have your own initials, and you can substitute them for <code class="docutils literal notranslate"><span class="pre">jb</span></code> wherever you see that in this lesson), and gave a little description. You can choose the repository to be either private of public; if you are not an academic, you have to pay for private repositories. Public repositories can be viewed by anyone. I will choose public for this one.</p>
 <p>I have checked the box to initialized the repository with a README. This is convenient because GitHub will set up the repository and populate it with a README file that you can generate right in your browser. I also selected to add a Python <code class="docutils literal notranslate"><span class="pre">.gitignore</span></code>, which is convenient for keeping your version control clean (more on that <a class="reference external" href="#.gitignore">later</a>). Finally, I chose an MIT license, which is a liberal license that will let others use your code if they would like to.</p>
 <p>After clicking “Create repository,” you will get a page that looks like this:</p>
@@ -458,7 +458,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
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diff --git a/2024/lessons/l13_exceptions_and_error_handling.html b/2024/lessons/l13_exceptions_and_error_handling.html
index 9e763174..912b110e 100644
--- a/2024/lessons/l13_exceptions_and_error_handling.html
+++ b/2024/lessons/l13_exceptions_and_error_handling.html
@@ -611,7 +611,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
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diff --git a/2024/lessons/l14_style.html b/2024/lessons/l14_style.html
index e4ee9e58..4c96f3f7 100644
--- a/2024/lessons/l14_style.html
+++ b/2024/lessons/l14_style.html
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       </span></p>
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diff --git a/2024/lessons/l15_comprehensions.html b/2024/lessons/l15_comprehensions.html
index 0bb28818..867662a8 100644
--- a/2024/lessons/l15_comprehensions.html
+++ b/2024/lessons/l15_comprehensions.html
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       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x127c3d350> 
+   <jinja2.runtime.BlockReference object at 0x138ebd0d0> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l16_intro_to_pandas.html b/2024/lessons/l16_intro_to_pandas.html
index 2612cb87..51dc0ef6 100644
--- a/2024/lessons/l16_intro_to_pandas.html
+++ b/2024/lessons/l16_intro_to_pandas.html
@@ -1493,13 +1493,13 @@ <h2>Calculating with data frames<a class="headerlink" href="#Calculating-with-da
 Name: sci, Length: 102, dtype: bool
 </pre></div></div>
 </div>
-<p>This tells use who is an insomniac. We can simply add this back to the data frame.</p>
+<p>This tells use who is an insomniac. We can simply add this column to the data frame using the <code class="docutils literal notranslate"><span class="pre">assign()</span></code> method. The <code class="docutils literal notranslate"><span class="pre">assign()</span></code> method takes a set of keyword arguments where the name of the keyword is the column heading and the argument is a list (or tuple, NumPy array, etc.) that populates the column.</p>
 <div class="nbinput docutils container">
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[17]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Add the column to the DataFrame</span>
-<span class="n">df</span><span class="p">[</span><span class="s1">&#39;insomnia&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;sci&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="mi">16</span>
+<span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">insomnia</span><span class="o">=</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;sci&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="mi">16</span><span class="p">)</span>
 
 <span class="c1"># Take a look</span>
 <span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
@@ -1970,225 +1970,225 @@ <h2>Styling a data frame<a class="headerlink" href="#Styling-a-data-frame" title
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-<table id="T_fc6e8">
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   <thead>
     <tr>
       <th class="blank level0" >&nbsp;</th>
-      <th id="T_fc6e8_level0_col0" class="col_heading level0 col0" >participant number</th>
-      <th id="T_fc6e8_level0_col1" class="col_heading level0 col1" >gender</th>
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-      <th id="T_fc6e8_level0_col11" class="col_heading level0 col11" >confidence when incorrect</th>
-      <th id="T_fc6e8_level0_col12" class="col_heading level0 col12" >sci</th>
-      <th id="T_fc6e8_level0_col13" class="col_heading level0 col13" >psqi</th>
-      <th id="T_fc6e8_level0_col14" class="col_heading level0 col14" >ess</th>
-      <th id="T_fc6e8_level0_col15" class="col_heading level0 col15" >insomnia</th>
+      <th id="T_045de_level0_col0" class="col_heading level0 col0" >participant number</th>
+      <th id="T_045de_level0_col1" class="col_heading level0 col1" >gender</th>
+      <th id="T_045de_level0_col2" class="col_heading level0 col2" >age</th>
+      <th id="T_045de_level0_col3" class="col_heading level0 col3" >correct hit percentage</th>
+      <th id="T_045de_level0_col4" class="col_heading level0 col4" >correct reject percentage</th>
+      <th id="T_045de_level0_col5" class="col_heading level0 col5" >percent correct</th>
+      <th id="T_045de_level0_col6" class="col_heading level0 col6" >confidence when correct hit</th>
+      <th id="T_045de_level0_col7" class="col_heading level0 col7" >confidence when incorrect hit</th>
+      <th id="T_045de_level0_col8" class="col_heading level0 col8" >confidence when correct reject</th>
+      <th id="T_045de_level0_col9" class="col_heading level0 col9" >confidence when incorrect reject</th>
+      <th id="T_045de_level0_col10" class="col_heading level0 col10" >confidence when correct</th>
+      <th id="T_045de_level0_col11" class="col_heading level0 col11" >confidence when incorrect</th>
+      <th id="T_045de_level0_col12" class="col_heading level0 col12" >sci</th>
+      <th id="T_045de_level0_col13" class="col_heading level0 col13" >psqi</th>
+      <th id="T_045de_level0_col14" class="col_heading level0 col14" >ess</th>
+      <th id="T_045de_level0_col15" class="col_heading level0 col15" >insomnia</th>
     </tr>
   </thead>
   <tbody>
     <tr>
-      <th id="T_fc6e8_level0_row0" class="row_heading level0 row0" >0</th>
-      <td id="T_fc6e8_row0_col0" class="data row0 col0" >8</td>
-      <td id="T_fc6e8_row0_col1" class="data row0 col1" >f</td>
-      <td id="T_fc6e8_row0_col2" class="data row0 col2" >39</td>
-      <td id="T_fc6e8_row0_col3" class="data row0 col3" >65</td>
-      <td id="T_fc6e8_row0_col4" class="data row0 col4" >80</td>
-      <td id="T_fc6e8_row0_col5" class="data row0 col5" >72.500000</td>
-      <td id="T_fc6e8_row0_col6" class="data row0 col6" >91.000000</td>
-      <td id="T_fc6e8_row0_col7" class="data row0 col7" >90.000000</td>
-      <td id="T_fc6e8_row0_col8" class="data row0 col8" >93.000000</td>
-      <td id="T_fc6e8_row0_col9" class="data row0 col9" >83.500000</td>
-      <td id="T_fc6e8_row0_col10" class="data row0 col10" >93.000000</td>
-      <td id="T_fc6e8_row0_col11" class="data row0 col11" >90.000000</td>
-      <td id="T_fc6e8_row0_col12" class="data row0 col12" >9</td>
-      <td id="T_fc6e8_row0_col13" class="data row0 col13" >13</td>
-      <td id="T_fc6e8_row0_col14" class="data row0 col14" >2</td>
-      <td id="T_fc6e8_row0_col15" class="data row0 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_fc6e8_level0_row1" class="row_heading level0 row1" >1</th>
-      <td id="T_fc6e8_row1_col0" class="data row1 col0" >16</td>
-      <td id="T_fc6e8_row1_col1" class="data row1 col1" >m</td>
-      <td id="T_fc6e8_row1_col2" class="data row1 col2" >42</td>
-      <td id="T_fc6e8_row1_col3" class="data row1 col3" >90</td>
-      <td id="T_fc6e8_row1_col4" class="data row1 col4" >90</td>
-      <td id="T_fc6e8_row1_col5" class="data row1 col5" >90.000000</td>
-      <td id="T_fc6e8_row1_col6" class="data row1 col6" >75.500000</td>
-      <td id="T_fc6e8_row1_col7" class="data row1 col7" >55.500000</td>
-      <td id="T_fc6e8_row1_col8" class="data row1 col8" >70.500000</td>
-      <td id="T_fc6e8_row1_col9" class="data row1 col9" >50.000000</td>
-      <td id="T_fc6e8_row1_col10" class="data row1 col10" >75.000000</td>
-      <td id="T_fc6e8_row1_col11" class="data row1 col11" >50.000000</td>
-      <td id="T_fc6e8_row1_col12" class="data row1 col12" >4</td>
-      <td id="T_fc6e8_row1_col13" class="data row1 col13" >11</td>
-      <td id="T_fc6e8_row1_col14" class="data row1 col14" >7</td>
-      <td id="T_fc6e8_row1_col15" class="data row1 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_fc6e8_level0_row2" class="row_heading level0 row2" >2</th>
-      <td id="T_fc6e8_row2_col0" class="data row2 col0" >18</td>
-      <td id="T_fc6e8_row2_col1" class="data row2 col1" >f</td>
-      <td id="T_fc6e8_row2_col2" class="data row2 col2" >31</td>
-      <td id="T_fc6e8_row2_col3" class="data row2 col3" >90</td>
-      <td id="T_fc6e8_row2_col4" class="data row2 col4" >95</td>
-      <td id="T_fc6e8_row2_col5" class="data row2 col5" >92.500000</td>
-      <td id="T_fc6e8_row2_col6" class="data row2 col6" >89.500000</td>
-      <td id="T_fc6e8_row2_col7" class="data row2 col7" >90.000000</td>
-      <td id="T_fc6e8_row2_col8" class="data row2 col8" >86.000000</td>
-      <td id="T_fc6e8_row2_col9" class="data row2 col9" >81.000000</td>
-      <td id="T_fc6e8_row2_col10" class="data row2 col10" >89.000000</td>
-      <td id="T_fc6e8_row2_col11" class="data row2 col11" >88.000000</td>
-      <td id="T_fc6e8_row2_col12" class="data row2 col12" >10</td>
-      <td id="T_fc6e8_row2_col13" class="data row2 col13" >9</td>
-      <td id="T_fc6e8_row2_col14" class="data row2 col14" >3</td>
-      <td id="T_fc6e8_row2_col15" class="data row2 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_fc6e8_level0_row3" class="row_heading level0 row3" >3</th>
-      <td id="T_fc6e8_row3_col0" class="data row3 col0" >22</td>
-      <td id="T_fc6e8_row3_col1" class="data row3 col1" >f</td>
-      <td id="T_fc6e8_row3_col2" class="data row3 col2" >35</td>
-      <td id="T_fc6e8_row3_col3" class="data row3 col3" >100</td>
-      <td id="T_fc6e8_row3_col4" class="data row3 col4" >75</td>
-      <td id="T_fc6e8_row3_col5" class="data row3 col5" >87.500000</td>
-      <td id="T_fc6e8_row3_col6" class="data row3 col6" >89.500000</td>
-      <td id="T_fc6e8_row3_col7" class="data row3 col7" >nan</td>
-      <td id="T_fc6e8_row3_col8" class="data row3 col8" >71.000000</td>
-      <td id="T_fc6e8_row3_col9" class="data row3 col9" >80.000000</td>
-      <td id="T_fc6e8_row3_col10" class="data row3 col10" >88.000000</td>
-      <td id="T_fc6e8_row3_col11" class="data row3 col11" >80.000000</td>
-      <td id="T_fc6e8_row3_col12" class="data row3 col12" >13</td>
-      <td id="T_fc6e8_row3_col13" class="data row3 col13" >8</td>
-      <td id="T_fc6e8_row3_col14" class="data row3 col14" >20</td>
-      <td id="T_fc6e8_row3_col15" class="data row3 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_fc6e8_level0_row4" class="row_heading level0 row4" >4</th>
-      <td id="T_fc6e8_row4_col0" class="data row4 col0" >27</td>
-      <td id="T_fc6e8_row4_col1" class="data row4 col1" >f</td>
-      <td id="T_fc6e8_row4_col2" class="data row4 col2" >74</td>
-      <td id="T_fc6e8_row4_col3" class="data row4 col3" >60</td>
-      <td id="T_fc6e8_row4_col4" class="data row4 col4" >65</td>
-      <td id="T_fc6e8_row4_col5" class="data row4 col5" >62.500000</td>
-      <td id="T_fc6e8_row4_col6" class="data row4 col6" >68.500000</td>
-      <td id="T_fc6e8_row4_col7" class="data row4 col7" >49.000000</td>
-      <td id="T_fc6e8_row4_col8" class="data row4 col8" >61.000000</td>
-      <td id="T_fc6e8_row4_col9" class="data row4 col9" >49.000000</td>
-      <td id="T_fc6e8_row4_col10" class="data row4 col10" >65.000000</td>
-      <td id="T_fc6e8_row4_col11" class="data row4 col11" >49.000000</td>
-      <td id="T_fc6e8_row4_col12" class="data row4 col12" >13</td>
-      <td id="T_fc6e8_row4_col13" class="data row4 col13" >9</td>
-      <td id="T_fc6e8_row4_col14" class="data row4 col14" >12</td>
-      <td id="T_fc6e8_row4_col15" class="data row4 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_fc6e8_level0_row5" class="row_heading level0 row5" >5</th>
-      <td id="T_fc6e8_row5_col0" class="data row5 col0" >28</td>
-      <td id="T_fc6e8_row5_col1" class="data row5 col1" >f</td>
-      <td id="T_fc6e8_row5_col2" class="data row5 col2" >61</td>
-      <td id="T_fc6e8_row5_col3" class="data row5 col3" >80</td>
-      <td id="T_fc6e8_row5_col4" class="data row5 col4" >20</td>
-      <td id="T_fc6e8_row5_col5" class="data row5 col5" >50.000000</td>
-      <td id="T_fc6e8_row5_col6" class="data row5 col6" >71.000000</td>
-      <td id="T_fc6e8_row5_col7" class="data row5 col7" >63.000000</td>
-      <td id="T_fc6e8_row5_col8" class="data row5 col8" >31.000000</td>
-      <td id="T_fc6e8_row5_col9" class="data row5 col9" >72.500000</td>
-      <td id="T_fc6e8_row5_col10" class="data row5 col10" >64.500000</td>
-      <td id="T_fc6e8_row5_col11" class="data row5 col11" >70.500000</td>
-      <td id="T_fc6e8_row5_col12" class="data row5 col12" >15</td>
-      <td id="T_fc6e8_row5_col13" class="data row5 col13" >14</td>
-      <td id="T_fc6e8_row5_col14" class="data row5 col14" >2</td>
-      <td id="T_fc6e8_row5_col15" class="data row5 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_fc6e8_level0_row6" class="row_heading level0 row6" >6</th>
-      <td id="T_fc6e8_row6_col0" class="data row6 col0" >30</td>
-      <td id="T_fc6e8_row6_col1" class="data row6 col1" >m</td>
-      <td id="T_fc6e8_row6_col2" class="data row6 col2" >32</td>
-      <td id="T_fc6e8_row6_col3" class="data row6 col3" >90</td>
-      <td id="T_fc6e8_row6_col4" class="data row6 col4" >75</td>
-      <td id="T_fc6e8_row6_col5" class="data row6 col5" >82.500000</td>
-      <td id="T_fc6e8_row6_col6" class="data row6 col6" >67.000000</td>
-      <td id="T_fc6e8_row6_col7" class="data row6 col7" >56.500000</td>
-      <td id="T_fc6e8_row6_col8" class="data row6 col8" >66.000000</td>
-      <td id="T_fc6e8_row6_col9" class="data row6 col9" >65.000000</td>
-      <td id="T_fc6e8_row6_col10" class="data row6 col10" >66.000000</td>
-      <td id="T_fc6e8_row6_col11" class="data row6 col11" >64.000000</td>
-      <td id="T_fc6e8_row6_col12" class="data row6 col12" >16</td>
-      <td id="T_fc6e8_row6_col13" class="data row6 col13" >9</td>
-      <td id="T_fc6e8_row6_col14" class="data row6 col14" >3</td>
-      <td id="T_fc6e8_row6_col15" class="data row6 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_fc6e8_level0_row7" class="row_heading level0 row7" >7</th>
-      <td id="T_fc6e8_row7_col0" class="data row7 col0" >33</td>
-      <td id="T_fc6e8_row7_col1" class="data row7 col1" >m</td>
-      <td id="T_fc6e8_row7_col2" class="data row7 col2" >62</td>
-      <td id="T_fc6e8_row7_col3" class="data row7 col3" >45</td>
-      <td id="T_fc6e8_row7_col4" class="data row7 col4" >90</td>
-      <td id="T_fc6e8_row7_col5" class="data row7 col5" >67.500000</td>
-      <td id="T_fc6e8_row7_col6" class="data row7 col6" >54.000000</td>
-      <td id="T_fc6e8_row7_col7" class="data row7 col7" >37.000000</td>
-      <td id="T_fc6e8_row7_col8" class="data row7 col8" >65.000000</td>
-      <td id="T_fc6e8_row7_col9" class="data row7 col9" >81.500000</td>
-      <td id="T_fc6e8_row7_col10" class="data row7 col10" >62.000000</td>
-      <td id="T_fc6e8_row7_col11" class="data row7 col11" >61.000000</td>
-      <td id="T_fc6e8_row7_col12" class="data row7 col12" >14</td>
-      <td id="T_fc6e8_row7_col13" class="data row7 col13" >9</td>
-      <td id="T_fc6e8_row7_col14" class="data row7 col14" >9</td>
-      <td id="T_fc6e8_row7_col15" class="data row7 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_fc6e8_level0_row8" class="row_heading level0 row8" >8</th>
-      <td id="T_fc6e8_row8_col0" class="data row8 col0" >34</td>
-      <td id="T_fc6e8_row8_col1" class="data row8 col1" >f</td>
-      <td id="T_fc6e8_row8_col2" class="data row8 col2" >33</td>
-      <td id="T_fc6e8_row8_col3" class="data row8 col3" >80</td>
-      <td id="T_fc6e8_row8_col4" class="data row8 col4" >100</td>
-      <td id="T_fc6e8_row8_col5" class="data row8 col5" >90.000000</td>
-      <td id="T_fc6e8_row8_col6" class="data row8 col6" >70.500000</td>
-      <td id="T_fc6e8_row8_col7" class="data row8 col7" >76.500000</td>
-      <td id="T_fc6e8_row8_col8" class="data row8 col8" >64.500000</td>
-      <td id="T_fc6e8_row8_col9" class="data row8 col9" >nan</td>
-      <td id="T_fc6e8_row8_col10" class="data row8 col10" >68.000000</td>
-      <td id="T_fc6e8_row8_col11" class="data row8 col11" >76.500000</td>
-      <td id="T_fc6e8_row8_col12" class="data row8 col12" >14</td>
-      <td id="T_fc6e8_row8_col13" class="data row8 col13" >12</td>
-      <td id="T_fc6e8_row8_col14" class="data row8 col14" >10</td>
-      <td id="T_fc6e8_row8_col15" class="data row8 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_fc6e8_level0_row9" class="row_heading level0 row9" >9</th>
-      <td id="T_fc6e8_row9_col0" class="data row9 col0" >35</td>
-      <td id="T_fc6e8_row9_col1" class="data row9 col1" >f</td>
-      <td id="T_fc6e8_row9_col2" class="data row9 col2" >53</td>
-      <td id="T_fc6e8_row9_col3" class="data row9 col3" >100</td>
-      <td id="T_fc6e8_row9_col4" class="data row9 col4" >50</td>
-      <td id="T_fc6e8_row9_col5" class="data row9 col5" >75.000000</td>
-      <td id="T_fc6e8_row9_col6" class="data row9 col6" >74.500000</td>
-      <td id="T_fc6e8_row9_col7" class="data row9 col7" >nan</td>
-      <td id="T_fc6e8_row9_col8" class="data row9 col8" >60.500000</td>
-      <td id="T_fc6e8_row9_col9" class="data row9 col9" >65.000000</td>
-      <td id="T_fc6e8_row9_col10" class="data row9 col10" >71.000000</td>
-      <td id="T_fc6e8_row9_col11" class="data row9 col11" >65.000000</td>
-      <td id="T_fc6e8_row9_col12" class="data row9 col12" >14</td>
-      <td id="T_fc6e8_row9_col13" class="data row9 col13" >8</td>
-      <td id="T_fc6e8_row9_col14" class="data row9 col14" >7</td>
-      <td id="T_fc6e8_row9_col15" class="data row9 col15" >True</td>
+      <th id="T_045de_level0_row0" class="row_heading level0 row0" >0</th>
+      <td id="T_045de_row0_col0" class="data row0 col0" >8</td>
+      <td id="T_045de_row0_col1" class="data row0 col1" >f</td>
+      <td id="T_045de_row0_col2" class="data row0 col2" >39</td>
+      <td id="T_045de_row0_col3" class="data row0 col3" >65</td>
+      <td id="T_045de_row0_col4" class="data row0 col4" >80</td>
+      <td id="T_045de_row0_col5" class="data row0 col5" >72.500000</td>
+      <td id="T_045de_row0_col6" class="data row0 col6" >91.000000</td>
+      <td id="T_045de_row0_col7" class="data row0 col7" >90.000000</td>
+      <td id="T_045de_row0_col8" class="data row0 col8" >93.000000</td>
+      <td id="T_045de_row0_col9" class="data row0 col9" >83.500000</td>
+      <td id="T_045de_row0_col10" class="data row0 col10" >93.000000</td>
+      <td id="T_045de_row0_col11" class="data row0 col11" >90.000000</td>
+      <td id="T_045de_row0_col12" class="data row0 col12" >9</td>
+      <td id="T_045de_row0_col13" class="data row0 col13" >13</td>
+      <td id="T_045de_row0_col14" class="data row0 col14" >2</td>
+      <td id="T_045de_row0_col15" class="data row0 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_045de_level0_row1" class="row_heading level0 row1" >1</th>
+      <td id="T_045de_row1_col0" class="data row1 col0" >16</td>
+      <td id="T_045de_row1_col1" class="data row1 col1" >m</td>
+      <td id="T_045de_row1_col2" class="data row1 col2" >42</td>
+      <td id="T_045de_row1_col3" class="data row1 col3" >90</td>
+      <td id="T_045de_row1_col4" class="data row1 col4" >90</td>
+      <td id="T_045de_row1_col5" class="data row1 col5" >90.000000</td>
+      <td id="T_045de_row1_col6" class="data row1 col6" >75.500000</td>
+      <td id="T_045de_row1_col7" class="data row1 col7" >55.500000</td>
+      <td id="T_045de_row1_col8" class="data row1 col8" >70.500000</td>
+      <td id="T_045de_row1_col9" class="data row1 col9" >50.000000</td>
+      <td id="T_045de_row1_col10" class="data row1 col10" >75.000000</td>
+      <td id="T_045de_row1_col11" class="data row1 col11" >50.000000</td>
+      <td id="T_045de_row1_col12" class="data row1 col12" >4</td>
+      <td id="T_045de_row1_col13" class="data row1 col13" >11</td>
+      <td id="T_045de_row1_col14" class="data row1 col14" >7</td>
+      <td id="T_045de_row1_col15" class="data row1 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_045de_level0_row2" class="row_heading level0 row2" >2</th>
+      <td id="T_045de_row2_col0" class="data row2 col0" >18</td>
+      <td id="T_045de_row2_col1" class="data row2 col1" >f</td>
+      <td id="T_045de_row2_col2" class="data row2 col2" >31</td>
+      <td id="T_045de_row2_col3" class="data row2 col3" >90</td>
+      <td id="T_045de_row2_col4" class="data row2 col4" >95</td>
+      <td id="T_045de_row2_col5" class="data row2 col5" >92.500000</td>
+      <td id="T_045de_row2_col6" class="data row2 col6" >89.500000</td>
+      <td id="T_045de_row2_col7" class="data row2 col7" >90.000000</td>
+      <td id="T_045de_row2_col8" class="data row2 col8" >86.000000</td>
+      <td id="T_045de_row2_col9" class="data row2 col9" >81.000000</td>
+      <td id="T_045de_row2_col10" class="data row2 col10" >89.000000</td>
+      <td id="T_045de_row2_col11" class="data row2 col11" >88.000000</td>
+      <td id="T_045de_row2_col12" class="data row2 col12" >10</td>
+      <td id="T_045de_row2_col13" class="data row2 col13" >9</td>
+      <td id="T_045de_row2_col14" class="data row2 col14" >3</td>
+      <td id="T_045de_row2_col15" class="data row2 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_045de_level0_row3" class="row_heading level0 row3" >3</th>
+      <td id="T_045de_row3_col0" class="data row3 col0" >22</td>
+      <td id="T_045de_row3_col1" class="data row3 col1" >f</td>
+      <td id="T_045de_row3_col2" class="data row3 col2" >35</td>
+      <td id="T_045de_row3_col3" class="data row3 col3" >100</td>
+      <td id="T_045de_row3_col4" class="data row3 col4" >75</td>
+      <td id="T_045de_row3_col5" class="data row3 col5" >87.500000</td>
+      <td id="T_045de_row3_col6" class="data row3 col6" >89.500000</td>
+      <td id="T_045de_row3_col7" class="data row3 col7" >nan</td>
+      <td id="T_045de_row3_col8" class="data row3 col8" >71.000000</td>
+      <td id="T_045de_row3_col9" class="data row3 col9" >80.000000</td>
+      <td id="T_045de_row3_col10" class="data row3 col10" >88.000000</td>
+      <td id="T_045de_row3_col11" class="data row3 col11" >80.000000</td>
+      <td id="T_045de_row3_col12" class="data row3 col12" >13</td>
+      <td id="T_045de_row3_col13" class="data row3 col13" >8</td>
+      <td id="T_045de_row3_col14" class="data row3 col14" >20</td>
+      <td id="T_045de_row3_col15" class="data row3 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_045de_level0_row4" class="row_heading level0 row4" >4</th>
+      <td id="T_045de_row4_col0" class="data row4 col0" >27</td>
+      <td id="T_045de_row4_col1" class="data row4 col1" >f</td>
+      <td id="T_045de_row4_col2" class="data row4 col2" >74</td>
+      <td id="T_045de_row4_col3" class="data row4 col3" >60</td>
+      <td id="T_045de_row4_col4" class="data row4 col4" >65</td>
+      <td id="T_045de_row4_col5" class="data row4 col5" >62.500000</td>
+      <td id="T_045de_row4_col6" class="data row4 col6" >68.500000</td>
+      <td id="T_045de_row4_col7" class="data row4 col7" >49.000000</td>
+      <td id="T_045de_row4_col8" class="data row4 col8" >61.000000</td>
+      <td id="T_045de_row4_col9" class="data row4 col9" >49.000000</td>
+      <td id="T_045de_row4_col10" class="data row4 col10" >65.000000</td>
+      <td id="T_045de_row4_col11" class="data row4 col11" >49.000000</td>
+      <td id="T_045de_row4_col12" class="data row4 col12" >13</td>
+      <td id="T_045de_row4_col13" class="data row4 col13" >9</td>
+      <td id="T_045de_row4_col14" class="data row4 col14" >12</td>
+      <td id="T_045de_row4_col15" class="data row4 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_045de_level0_row5" class="row_heading level0 row5" >5</th>
+      <td id="T_045de_row5_col0" class="data row5 col0" >28</td>
+      <td id="T_045de_row5_col1" class="data row5 col1" >f</td>
+      <td id="T_045de_row5_col2" class="data row5 col2" >61</td>
+      <td id="T_045de_row5_col3" class="data row5 col3" >80</td>
+      <td id="T_045de_row5_col4" class="data row5 col4" >20</td>
+      <td id="T_045de_row5_col5" class="data row5 col5" >50.000000</td>
+      <td id="T_045de_row5_col6" class="data row5 col6" >71.000000</td>
+      <td id="T_045de_row5_col7" class="data row5 col7" >63.000000</td>
+      <td id="T_045de_row5_col8" class="data row5 col8" >31.000000</td>
+      <td id="T_045de_row5_col9" class="data row5 col9" >72.500000</td>
+      <td id="T_045de_row5_col10" class="data row5 col10" >64.500000</td>
+      <td id="T_045de_row5_col11" class="data row5 col11" >70.500000</td>
+      <td id="T_045de_row5_col12" class="data row5 col12" >15</td>
+      <td id="T_045de_row5_col13" class="data row5 col13" >14</td>
+      <td id="T_045de_row5_col14" class="data row5 col14" >2</td>
+      <td id="T_045de_row5_col15" class="data row5 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_045de_level0_row6" class="row_heading level0 row6" >6</th>
+      <td id="T_045de_row6_col0" class="data row6 col0" >30</td>
+      <td id="T_045de_row6_col1" class="data row6 col1" >m</td>
+      <td id="T_045de_row6_col2" class="data row6 col2" >32</td>
+      <td id="T_045de_row6_col3" class="data row6 col3" >90</td>
+      <td id="T_045de_row6_col4" class="data row6 col4" >75</td>
+      <td id="T_045de_row6_col5" class="data row6 col5" >82.500000</td>
+      <td id="T_045de_row6_col6" class="data row6 col6" >67.000000</td>
+      <td id="T_045de_row6_col7" class="data row6 col7" >56.500000</td>
+      <td id="T_045de_row6_col8" class="data row6 col8" >66.000000</td>
+      <td id="T_045de_row6_col9" class="data row6 col9" >65.000000</td>
+      <td id="T_045de_row6_col10" class="data row6 col10" >66.000000</td>
+      <td id="T_045de_row6_col11" class="data row6 col11" >64.000000</td>
+      <td id="T_045de_row6_col12" class="data row6 col12" >16</td>
+      <td id="T_045de_row6_col13" class="data row6 col13" >9</td>
+      <td id="T_045de_row6_col14" class="data row6 col14" >3</td>
+      <td id="T_045de_row6_col15" class="data row6 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_045de_level0_row7" class="row_heading level0 row7" >7</th>
+      <td id="T_045de_row7_col0" class="data row7 col0" >33</td>
+      <td id="T_045de_row7_col1" class="data row7 col1" >m</td>
+      <td id="T_045de_row7_col2" class="data row7 col2" >62</td>
+      <td id="T_045de_row7_col3" class="data row7 col3" >45</td>
+      <td id="T_045de_row7_col4" class="data row7 col4" >90</td>
+      <td id="T_045de_row7_col5" class="data row7 col5" >67.500000</td>
+      <td id="T_045de_row7_col6" class="data row7 col6" >54.000000</td>
+      <td id="T_045de_row7_col7" class="data row7 col7" >37.000000</td>
+      <td id="T_045de_row7_col8" class="data row7 col8" >65.000000</td>
+      <td id="T_045de_row7_col9" class="data row7 col9" >81.500000</td>
+      <td id="T_045de_row7_col10" class="data row7 col10" >62.000000</td>
+      <td id="T_045de_row7_col11" class="data row7 col11" >61.000000</td>
+      <td id="T_045de_row7_col12" class="data row7 col12" >14</td>
+      <td id="T_045de_row7_col13" class="data row7 col13" >9</td>
+      <td id="T_045de_row7_col14" class="data row7 col14" >9</td>
+      <td id="T_045de_row7_col15" class="data row7 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_045de_level0_row8" class="row_heading level0 row8" >8</th>
+      <td id="T_045de_row8_col0" class="data row8 col0" >34</td>
+      <td id="T_045de_row8_col1" class="data row8 col1" >f</td>
+      <td id="T_045de_row8_col2" class="data row8 col2" >33</td>
+      <td id="T_045de_row8_col3" class="data row8 col3" >80</td>
+      <td id="T_045de_row8_col4" class="data row8 col4" >100</td>
+      <td id="T_045de_row8_col5" class="data row8 col5" >90.000000</td>
+      <td id="T_045de_row8_col6" class="data row8 col6" >70.500000</td>
+      <td id="T_045de_row8_col7" class="data row8 col7" >76.500000</td>
+      <td id="T_045de_row8_col8" class="data row8 col8" >64.500000</td>
+      <td id="T_045de_row8_col9" class="data row8 col9" >nan</td>
+      <td id="T_045de_row8_col10" class="data row8 col10" >68.000000</td>
+      <td id="T_045de_row8_col11" class="data row8 col11" >76.500000</td>
+      <td id="T_045de_row8_col12" class="data row8 col12" >14</td>
+      <td id="T_045de_row8_col13" class="data row8 col13" >12</td>
+      <td id="T_045de_row8_col14" class="data row8 col14" >10</td>
+      <td id="T_045de_row8_col15" class="data row8 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_045de_level0_row9" class="row_heading level0 row9" >9</th>
+      <td id="T_045de_row9_col0" class="data row9 col0" >35</td>
+      <td id="T_045de_row9_col1" class="data row9 col1" >f</td>
+      <td id="T_045de_row9_col2" class="data row9 col2" >53</td>
+      <td id="T_045de_row9_col3" class="data row9 col3" >100</td>
+      <td id="T_045de_row9_col4" class="data row9 col4" >50</td>
+      <td id="T_045de_row9_col5" class="data row9 col5" >75.000000</td>
+      <td id="T_045de_row9_col6" class="data row9 col6" >74.500000</td>
+      <td id="T_045de_row9_col7" class="data row9 col7" >nan</td>
+      <td id="T_045de_row9_col8" class="data row9 col8" >60.500000</td>
+      <td id="T_045de_row9_col9" class="data row9 col9" >65.000000</td>
+      <td id="T_045de_row9_col10" class="data row9 col10" >71.000000</td>
+      <td id="T_045de_row9_col11" class="data row9 col11" >65.000000</td>
+      <td id="T_045de_row9_col12" class="data row9 col12" >14</td>
+      <td id="T_045de_row9_col13" class="data row9 col13" >8</td>
+      <td id="T_045de_row9_col14" class="data row9 col14" >7</td>
+      <td id="T_045de_row9_col15" class="data row9 col15" >True</td>
     </tr>
   </tbody>
 </table></div>
@@ -2208,255 +2208,255 @@ <h2>Styling a data frame<a class="headerlink" href="#Styling-a-data-frame" title
 </div>
 <div class="output_area rendered_html docutils container">
 <style type="text/css">
-#T_ae02b_row0_col5 {
+#T_4b89a_row0_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 72.5%, transparent 72.5%);
 }
-#T_ae02b_row1_col5, #T_ae02b_row8_col5 {
+#T_4b89a_row1_col5, #T_4b89a_row8_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 90.0%, transparent 90.0%);
 }
-#T_ae02b_row2_col5 {
+#T_4b89a_row2_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 92.5%, transparent 92.5%);
 }
-#T_ae02b_row3_col5 {
+#T_4b89a_row3_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 87.5%, transparent 87.5%);
 }
-#T_ae02b_row4_col5 {
+#T_4b89a_row4_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 62.5%, transparent 62.5%);
 }
-#T_ae02b_row5_col5 {
+#T_4b89a_row5_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 50.0%, transparent 50.0%);
 }
-#T_ae02b_row6_col5 {
+#T_4b89a_row6_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 82.5%, transparent 82.5%);
 }
-#T_ae02b_row7_col5 {
+#T_4b89a_row7_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 67.5%, transparent 67.5%);
 }
-#T_ae02b_row9_col5 {
+#T_4b89a_row9_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 75.0%, transparent 75.0%);
 }
 </style>
-<table id="T_ae02b">
+<table id="T_4b89a">
   <thead>
     <tr>
       <th class="blank level0" >&nbsp;</th>
-      <th id="T_ae02b_level0_col0" class="col_heading level0 col0" >participant number</th>
-      <th id="T_ae02b_level0_col1" class="col_heading level0 col1" >gender</th>
-      <th id="T_ae02b_level0_col2" class="col_heading level0 col2" >age</th>
-      <th id="T_ae02b_level0_col3" class="col_heading level0 col3" >correct hit percentage</th>
-      <th id="T_ae02b_level0_col4" class="col_heading level0 col4" >correct reject percentage</th>
-      <th id="T_ae02b_level0_col5" class="col_heading level0 col5" >percent correct</th>
-      <th id="T_ae02b_level0_col6" class="col_heading level0 col6" >confidence when correct hit</th>
-      <th id="T_ae02b_level0_col7" class="col_heading level0 col7" >confidence when incorrect hit</th>
-      <th id="T_ae02b_level0_col8" class="col_heading level0 col8" >confidence when correct reject</th>
-      <th id="T_ae02b_level0_col9" class="col_heading level0 col9" >confidence when incorrect reject</th>
-      <th id="T_ae02b_level0_col10" class="col_heading level0 col10" >confidence when correct</th>
-      <th id="T_ae02b_level0_col11" class="col_heading level0 col11" >confidence when incorrect</th>
-      <th id="T_ae02b_level0_col12" class="col_heading level0 col12" >sci</th>
-      <th id="T_ae02b_level0_col13" class="col_heading level0 col13" >psqi</th>
-      <th id="T_ae02b_level0_col14" class="col_heading level0 col14" >ess</th>
-      <th id="T_ae02b_level0_col15" class="col_heading level0 col15" >insomnia</th>
+      <th id="T_4b89a_level0_col0" class="col_heading level0 col0" >participant number</th>
+      <th id="T_4b89a_level0_col1" class="col_heading level0 col1" >gender</th>
+      <th id="T_4b89a_level0_col2" class="col_heading level0 col2" >age</th>
+      <th id="T_4b89a_level0_col3" class="col_heading level0 col3" >correct hit percentage</th>
+      <th id="T_4b89a_level0_col4" class="col_heading level0 col4" >correct reject percentage</th>
+      <th id="T_4b89a_level0_col5" class="col_heading level0 col5" >percent correct</th>
+      <th id="T_4b89a_level0_col6" class="col_heading level0 col6" >confidence when correct hit</th>
+      <th id="T_4b89a_level0_col7" class="col_heading level0 col7" >confidence when incorrect hit</th>
+      <th id="T_4b89a_level0_col8" class="col_heading level0 col8" >confidence when correct reject</th>
+      <th id="T_4b89a_level0_col9" class="col_heading level0 col9" >confidence when incorrect reject</th>
+      <th id="T_4b89a_level0_col10" class="col_heading level0 col10" >confidence when correct</th>
+      <th id="T_4b89a_level0_col11" class="col_heading level0 col11" >confidence when incorrect</th>
+      <th id="T_4b89a_level0_col12" class="col_heading level0 col12" >sci</th>
+      <th id="T_4b89a_level0_col13" class="col_heading level0 col13" >psqi</th>
+      <th id="T_4b89a_level0_col14" class="col_heading level0 col14" >ess</th>
+      <th id="T_4b89a_level0_col15" class="col_heading level0 col15" >insomnia</th>
     </tr>
   </thead>
   <tbody>
     <tr>
-      <th id="T_ae02b_level0_row0" class="row_heading level0 row0" >0</th>
-      <td id="T_ae02b_row0_col0" class="data row0 col0" >8</td>
-      <td id="T_ae02b_row0_col1" class="data row0 col1" >f</td>
-      <td id="T_ae02b_row0_col2" class="data row0 col2" >39</td>
-      <td id="T_ae02b_row0_col3" class="data row0 col3" >65</td>
-      <td id="T_ae02b_row0_col4" class="data row0 col4" >80</td>
-      <td id="T_ae02b_row0_col5" class="data row0 col5" >72.500000</td>
-      <td id="T_ae02b_row0_col6" class="data row0 col6" >91.000000</td>
-      <td id="T_ae02b_row0_col7" class="data row0 col7" >90.000000</td>
-      <td id="T_ae02b_row0_col8" class="data row0 col8" >93.000000</td>
-      <td id="T_ae02b_row0_col9" class="data row0 col9" >83.500000</td>
-      <td id="T_ae02b_row0_col10" class="data row0 col10" >93.000000</td>
-      <td id="T_ae02b_row0_col11" class="data row0 col11" >90.000000</td>
-      <td id="T_ae02b_row0_col12" class="data row0 col12" >9</td>
-      <td id="T_ae02b_row0_col13" class="data row0 col13" >13</td>
-      <td id="T_ae02b_row0_col14" class="data row0 col14" >2</td>
-      <td id="T_ae02b_row0_col15" class="data row0 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_ae02b_level0_row1" class="row_heading level0 row1" >1</th>
-      <td id="T_ae02b_row1_col0" class="data row1 col0" >16</td>
-      <td id="T_ae02b_row1_col1" class="data row1 col1" >m</td>
-      <td id="T_ae02b_row1_col2" class="data row1 col2" >42</td>
-      <td id="T_ae02b_row1_col3" class="data row1 col3" >90</td>
-      <td id="T_ae02b_row1_col4" class="data row1 col4" >90</td>
-      <td id="T_ae02b_row1_col5" class="data row1 col5" >90.000000</td>
-      <td id="T_ae02b_row1_col6" class="data row1 col6" >75.500000</td>
-      <td id="T_ae02b_row1_col7" class="data row1 col7" >55.500000</td>
-      <td id="T_ae02b_row1_col8" class="data row1 col8" >70.500000</td>
-      <td id="T_ae02b_row1_col9" class="data row1 col9" >50.000000</td>
-      <td id="T_ae02b_row1_col10" class="data row1 col10" >75.000000</td>
-      <td id="T_ae02b_row1_col11" class="data row1 col11" >50.000000</td>
-      <td id="T_ae02b_row1_col12" class="data row1 col12" >4</td>
-      <td id="T_ae02b_row1_col13" class="data row1 col13" >11</td>
-      <td id="T_ae02b_row1_col14" class="data row1 col14" >7</td>
-      <td id="T_ae02b_row1_col15" class="data row1 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_ae02b_level0_row2" class="row_heading level0 row2" >2</th>
-      <td id="T_ae02b_row2_col0" class="data row2 col0" >18</td>
-      <td id="T_ae02b_row2_col1" class="data row2 col1" >f</td>
-      <td id="T_ae02b_row2_col2" class="data row2 col2" >31</td>
-      <td id="T_ae02b_row2_col3" class="data row2 col3" >90</td>
-      <td id="T_ae02b_row2_col4" class="data row2 col4" >95</td>
-      <td id="T_ae02b_row2_col5" class="data row2 col5" >92.500000</td>
-      <td id="T_ae02b_row2_col6" class="data row2 col6" >89.500000</td>
-      <td id="T_ae02b_row2_col7" class="data row2 col7" >90.000000</td>
-      <td id="T_ae02b_row2_col8" class="data row2 col8" >86.000000</td>
-      <td id="T_ae02b_row2_col9" class="data row2 col9" >81.000000</td>
-      <td id="T_ae02b_row2_col10" class="data row2 col10" >89.000000</td>
-      <td id="T_ae02b_row2_col11" class="data row2 col11" >88.000000</td>
-      <td id="T_ae02b_row2_col12" class="data row2 col12" >10</td>
-      <td id="T_ae02b_row2_col13" class="data row2 col13" >9</td>
-      <td id="T_ae02b_row2_col14" class="data row2 col14" >3</td>
-      <td id="T_ae02b_row2_col15" class="data row2 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_ae02b_level0_row3" class="row_heading level0 row3" >3</th>
-      <td id="T_ae02b_row3_col0" class="data row3 col0" >22</td>
-      <td id="T_ae02b_row3_col1" class="data row3 col1" >f</td>
-      <td id="T_ae02b_row3_col2" class="data row3 col2" >35</td>
-      <td id="T_ae02b_row3_col3" class="data row3 col3" >100</td>
-      <td id="T_ae02b_row3_col4" class="data row3 col4" >75</td>
-      <td id="T_ae02b_row3_col5" class="data row3 col5" >87.500000</td>
-      <td id="T_ae02b_row3_col6" class="data row3 col6" >89.500000</td>
-      <td id="T_ae02b_row3_col7" class="data row3 col7" >nan</td>
-      <td id="T_ae02b_row3_col8" class="data row3 col8" >71.000000</td>
-      <td id="T_ae02b_row3_col9" class="data row3 col9" >80.000000</td>
-      <td id="T_ae02b_row3_col10" class="data row3 col10" >88.000000</td>
-      <td id="T_ae02b_row3_col11" class="data row3 col11" >80.000000</td>
-      <td id="T_ae02b_row3_col12" class="data row3 col12" >13</td>
-      <td id="T_ae02b_row3_col13" class="data row3 col13" >8</td>
-      <td id="T_ae02b_row3_col14" class="data row3 col14" >20</td>
-      <td id="T_ae02b_row3_col15" class="data row3 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_ae02b_level0_row4" class="row_heading level0 row4" >4</th>
-      <td id="T_ae02b_row4_col0" class="data row4 col0" >27</td>
-      <td id="T_ae02b_row4_col1" class="data row4 col1" >f</td>
-      <td id="T_ae02b_row4_col2" class="data row4 col2" >74</td>
-      <td id="T_ae02b_row4_col3" class="data row4 col3" >60</td>
-      <td id="T_ae02b_row4_col4" class="data row4 col4" >65</td>
-      <td id="T_ae02b_row4_col5" class="data row4 col5" >62.500000</td>
-      <td id="T_ae02b_row4_col6" class="data row4 col6" >68.500000</td>
-      <td id="T_ae02b_row4_col7" class="data row4 col7" >49.000000</td>
-      <td id="T_ae02b_row4_col8" class="data row4 col8" >61.000000</td>
-      <td id="T_ae02b_row4_col9" class="data row4 col9" >49.000000</td>
-      <td id="T_ae02b_row4_col10" class="data row4 col10" >65.000000</td>
-      <td id="T_ae02b_row4_col11" class="data row4 col11" >49.000000</td>
-      <td id="T_ae02b_row4_col12" class="data row4 col12" >13</td>
-      <td id="T_ae02b_row4_col13" class="data row4 col13" >9</td>
-      <td id="T_ae02b_row4_col14" class="data row4 col14" >12</td>
-      <td id="T_ae02b_row4_col15" class="data row4 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_ae02b_level0_row5" class="row_heading level0 row5" >5</th>
-      <td id="T_ae02b_row5_col0" class="data row5 col0" >28</td>
-      <td id="T_ae02b_row5_col1" class="data row5 col1" >f</td>
-      <td id="T_ae02b_row5_col2" class="data row5 col2" >61</td>
-      <td id="T_ae02b_row5_col3" class="data row5 col3" >80</td>
-      <td id="T_ae02b_row5_col4" class="data row5 col4" >20</td>
-      <td id="T_ae02b_row5_col5" class="data row5 col5" >50.000000</td>
-      <td id="T_ae02b_row5_col6" class="data row5 col6" >71.000000</td>
-      <td id="T_ae02b_row5_col7" class="data row5 col7" >63.000000</td>
-      <td id="T_ae02b_row5_col8" class="data row5 col8" >31.000000</td>
-      <td id="T_ae02b_row5_col9" class="data row5 col9" >72.500000</td>
-      <td id="T_ae02b_row5_col10" class="data row5 col10" >64.500000</td>
-      <td id="T_ae02b_row5_col11" class="data row5 col11" >70.500000</td>
-      <td id="T_ae02b_row5_col12" class="data row5 col12" >15</td>
-      <td id="T_ae02b_row5_col13" class="data row5 col13" >14</td>
-      <td id="T_ae02b_row5_col14" class="data row5 col14" >2</td>
-      <td id="T_ae02b_row5_col15" class="data row5 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_ae02b_level0_row6" class="row_heading level0 row6" >6</th>
-      <td id="T_ae02b_row6_col0" class="data row6 col0" >30</td>
-      <td id="T_ae02b_row6_col1" class="data row6 col1" >m</td>
-      <td id="T_ae02b_row6_col2" class="data row6 col2" >32</td>
-      <td id="T_ae02b_row6_col3" class="data row6 col3" >90</td>
-      <td id="T_ae02b_row6_col4" class="data row6 col4" >75</td>
-      <td id="T_ae02b_row6_col5" class="data row6 col5" >82.500000</td>
-      <td id="T_ae02b_row6_col6" class="data row6 col6" >67.000000</td>
-      <td id="T_ae02b_row6_col7" class="data row6 col7" >56.500000</td>
-      <td id="T_ae02b_row6_col8" class="data row6 col8" >66.000000</td>
-      <td id="T_ae02b_row6_col9" class="data row6 col9" >65.000000</td>
-      <td id="T_ae02b_row6_col10" class="data row6 col10" >66.000000</td>
-      <td id="T_ae02b_row6_col11" class="data row6 col11" >64.000000</td>
-      <td id="T_ae02b_row6_col12" class="data row6 col12" >16</td>
-      <td id="T_ae02b_row6_col13" class="data row6 col13" >9</td>
-      <td id="T_ae02b_row6_col14" class="data row6 col14" >3</td>
-      <td id="T_ae02b_row6_col15" class="data row6 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_ae02b_level0_row7" class="row_heading level0 row7" >7</th>
-      <td id="T_ae02b_row7_col0" class="data row7 col0" >33</td>
-      <td id="T_ae02b_row7_col1" class="data row7 col1" >m</td>
-      <td id="T_ae02b_row7_col2" class="data row7 col2" >62</td>
-      <td id="T_ae02b_row7_col3" class="data row7 col3" >45</td>
-      <td id="T_ae02b_row7_col4" class="data row7 col4" >90</td>
-      <td id="T_ae02b_row7_col5" class="data row7 col5" >67.500000</td>
-      <td id="T_ae02b_row7_col6" class="data row7 col6" >54.000000</td>
-      <td id="T_ae02b_row7_col7" class="data row7 col7" >37.000000</td>
-      <td id="T_ae02b_row7_col8" class="data row7 col8" >65.000000</td>
-      <td id="T_ae02b_row7_col9" class="data row7 col9" >81.500000</td>
-      <td id="T_ae02b_row7_col10" class="data row7 col10" >62.000000</td>
-      <td id="T_ae02b_row7_col11" class="data row7 col11" >61.000000</td>
-      <td id="T_ae02b_row7_col12" class="data row7 col12" >14</td>
-      <td id="T_ae02b_row7_col13" class="data row7 col13" >9</td>
-      <td id="T_ae02b_row7_col14" class="data row7 col14" >9</td>
-      <td id="T_ae02b_row7_col15" class="data row7 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_ae02b_level0_row8" class="row_heading level0 row8" >8</th>
-      <td id="T_ae02b_row8_col0" class="data row8 col0" >34</td>
-      <td id="T_ae02b_row8_col1" class="data row8 col1" >f</td>
-      <td id="T_ae02b_row8_col2" class="data row8 col2" >33</td>
-      <td id="T_ae02b_row8_col3" class="data row8 col3" >80</td>
-      <td id="T_ae02b_row8_col4" class="data row8 col4" >100</td>
-      <td id="T_ae02b_row8_col5" class="data row8 col5" >90.000000</td>
-      <td id="T_ae02b_row8_col6" class="data row8 col6" >70.500000</td>
-      <td id="T_ae02b_row8_col7" class="data row8 col7" >76.500000</td>
-      <td id="T_ae02b_row8_col8" class="data row8 col8" >64.500000</td>
-      <td id="T_ae02b_row8_col9" class="data row8 col9" >nan</td>
-      <td id="T_ae02b_row8_col10" class="data row8 col10" >68.000000</td>
-      <td id="T_ae02b_row8_col11" class="data row8 col11" >76.500000</td>
-      <td id="T_ae02b_row8_col12" class="data row8 col12" >14</td>
-      <td id="T_ae02b_row8_col13" class="data row8 col13" >12</td>
-      <td id="T_ae02b_row8_col14" class="data row8 col14" >10</td>
-      <td id="T_ae02b_row8_col15" class="data row8 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_ae02b_level0_row9" class="row_heading level0 row9" >9</th>
-      <td id="T_ae02b_row9_col0" class="data row9 col0" >35</td>
-      <td id="T_ae02b_row9_col1" class="data row9 col1" >f</td>
-      <td id="T_ae02b_row9_col2" class="data row9 col2" >53</td>
-      <td id="T_ae02b_row9_col3" class="data row9 col3" >100</td>
-      <td id="T_ae02b_row9_col4" class="data row9 col4" >50</td>
-      <td id="T_ae02b_row9_col5" class="data row9 col5" >75.000000</td>
-      <td id="T_ae02b_row9_col6" class="data row9 col6" >74.500000</td>
-      <td id="T_ae02b_row9_col7" class="data row9 col7" >nan</td>
-      <td id="T_ae02b_row9_col8" class="data row9 col8" >60.500000</td>
-      <td id="T_ae02b_row9_col9" class="data row9 col9" >65.000000</td>
-      <td id="T_ae02b_row9_col10" class="data row9 col10" >71.000000</td>
-      <td id="T_ae02b_row9_col11" class="data row9 col11" >65.000000</td>
-      <td id="T_ae02b_row9_col12" class="data row9 col12" >14</td>
-      <td id="T_ae02b_row9_col13" class="data row9 col13" >8</td>
-      <td id="T_ae02b_row9_col14" class="data row9 col14" >7</td>
-      <td id="T_ae02b_row9_col15" class="data row9 col15" >True</td>
+      <th id="T_4b89a_level0_row0" class="row_heading level0 row0" >0</th>
+      <td id="T_4b89a_row0_col0" class="data row0 col0" >8</td>
+      <td id="T_4b89a_row0_col1" class="data row0 col1" >f</td>
+      <td id="T_4b89a_row0_col2" class="data row0 col2" >39</td>
+      <td id="T_4b89a_row0_col3" class="data row0 col3" >65</td>
+      <td id="T_4b89a_row0_col4" class="data row0 col4" >80</td>
+      <td id="T_4b89a_row0_col5" class="data row0 col5" >72.500000</td>
+      <td id="T_4b89a_row0_col6" class="data row0 col6" >91.000000</td>
+      <td id="T_4b89a_row0_col7" class="data row0 col7" >90.000000</td>
+      <td id="T_4b89a_row0_col8" class="data row0 col8" >93.000000</td>
+      <td id="T_4b89a_row0_col9" class="data row0 col9" >83.500000</td>
+      <td id="T_4b89a_row0_col10" class="data row0 col10" >93.000000</td>
+      <td id="T_4b89a_row0_col11" class="data row0 col11" >90.000000</td>
+      <td id="T_4b89a_row0_col12" class="data row0 col12" >9</td>
+      <td id="T_4b89a_row0_col13" class="data row0 col13" >13</td>
+      <td id="T_4b89a_row0_col14" class="data row0 col14" >2</td>
+      <td id="T_4b89a_row0_col15" class="data row0 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_4b89a_level0_row1" class="row_heading level0 row1" >1</th>
+      <td id="T_4b89a_row1_col0" class="data row1 col0" >16</td>
+      <td id="T_4b89a_row1_col1" class="data row1 col1" >m</td>
+      <td id="T_4b89a_row1_col2" class="data row1 col2" >42</td>
+      <td id="T_4b89a_row1_col3" class="data row1 col3" >90</td>
+      <td id="T_4b89a_row1_col4" class="data row1 col4" >90</td>
+      <td id="T_4b89a_row1_col5" class="data row1 col5" >90.000000</td>
+      <td id="T_4b89a_row1_col6" class="data row1 col6" >75.500000</td>
+      <td id="T_4b89a_row1_col7" class="data row1 col7" >55.500000</td>
+      <td id="T_4b89a_row1_col8" class="data row1 col8" >70.500000</td>
+      <td id="T_4b89a_row1_col9" class="data row1 col9" >50.000000</td>
+      <td id="T_4b89a_row1_col10" class="data row1 col10" >75.000000</td>
+      <td id="T_4b89a_row1_col11" class="data row1 col11" >50.000000</td>
+      <td id="T_4b89a_row1_col12" class="data row1 col12" >4</td>
+      <td id="T_4b89a_row1_col13" class="data row1 col13" >11</td>
+      <td id="T_4b89a_row1_col14" class="data row1 col14" >7</td>
+      <td id="T_4b89a_row1_col15" class="data row1 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_4b89a_level0_row2" class="row_heading level0 row2" >2</th>
+      <td id="T_4b89a_row2_col0" class="data row2 col0" >18</td>
+      <td id="T_4b89a_row2_col1" class="data row2 col1" >f</td>
+      <td id="T_4b89a_row2_col2" class="data row2 col2" >31</td>
+      <td id="T_4b89a_row2_col3" class="data row2 col3" >90</td>
+      <td id="T_4b89a_row2_col4" class="data row2 col4" >95</td>
+      <td id="T_4b89a_row2_col5" class="data row2 col5" >92.500000</td>
+      <td id="T_4b89a_row2_col6" class="data row2 col6" >89.500000</td>
+      <td id="T_4b89a_row2_col7" class="data row2 col7" >90.000000</td>
+      <td id="T_4b89a_row2_col8" class="data row2 col8" >86.000000</td>
+      <td id="T_4b89a_row2_col9" class="data row2 col9" >81.000000</td>
+      <td id="T_4b89a_row2_col10" class="data row2 col10" >89.000000</td>
+      <td id="T_4b89a_row2_col11" class="data row2 col11" >88.000000</td>
+      <td id="T_4b89a_row2_col12" class="data row2 col12" >10</td>
+      <td id="T_4b89a_row2_col13" class="data row2 col13" >9</td>
+      <td id="T_4b89a_row2_col14" class="data row2 col14" >3</td>
+      <td id="T_4b89a_row2_col15" class="data row2 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_4b89a_level0_row3" class="row_heading level0 row3" >3</th>
+      <td id="T_4b89a_row3_col0" class="data row3 col0" >22</td>
+      <td id="T_4b89a_row3_col1" class="data row3 col1" >f</td>
+      <td id="T_4b89a_row3_col2" class="data row3 col2" >35</td>
+      <td id="T_4b89a_row3_col3" class="data row3 col3" >100</td>
+      <td id="T_4b89a_row3_col4" class="data row3 col4" >75</td>
+      <td id="T_4b89a_row3_col5" class="data row3 col5" >87.500000</td>
+      <td id="T_4b89a_row3_col6" class="data row3 col6" >89.500000</td>
+      <td id="T_4b89a_row3_col7" class="data row3 col7" >nan</td>
+      <td id="T_4b89a_row3_col8" class="data row3 col8" >71.000000</td>
+      <td id="T_4b89a_row3_col9" class="data row3 col9" >80.000000</td>
+      <td id="T_4b89a_row3_col10" class="data row3 col10" >88.000000</td>
+      <td id="T_4b89a_row3_col11" class="data row3 col11" >80.000000</td>
+      <td id="T_4b89a_row3_col12" class="data row3 col12" >13</td>
+      <td id="T_4b89a_row3_col13" class="data row3 col13" >8</td>
+      <td id="T_4b89a_row3_col14" class="data row3 col14" >20</td>
+      <td id="T_4b89a_row3_col15" class="data row3 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_4b89a_level0_row4" class="row_heading level0 row4" >4</th>
+      <td id="T_4b89a_row4_col0" class="data row4 col0" >27</td>
+      <td id="T_4b89a_row4_col1" class="data row4 col1" >f</td>
+      <td id="T_4b89a_row4_col2" class="data row4 col2" >74</td>
+      <td id="T_4b89a_row4_col3" class="data row4 col3" >60</td>
+      <td id="T_4b89a_row4_col4" class="data row4 col4" >65</td>
+      <td id="T_4b89a_row4_col5" class="data row4 col5" >62.500000</td>
+      <td id="T_4b89a_row4_col6" class="data row4 col6" >68.500000</td>
+      <td id="T_4b89a_row4_col7" class="data row4 col7" >49.000000</td>
+      <td id="T_4b89a_row4_col8" class="data row4 col8" >61.000000</td>
+      <td id="T_4b89a_row4_col9" class="data row4 col9" >49.000000</td>
+      <td id="T_4b89a_row4_col10" class="data row4 col10" >65.000000</td>
+      <td id="T_4b89a_row4_col11" class="data row4 col11" >49.000000</td>
+      <td id="T_4b89a_row4_col12" class="data row4 col12" >13</td>
+      <td id="T_4b89a_row4_col13" class="data row4 col13" >9</td>
+      <td id="T_4b89a_row4_col14" class="data row4 col14" >12</td>
+      <td id="T_4b89a_row4_col15" class="data row4 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_4b89a_level0_row5" class="row_heading level0 row5" >5</th>
+      <td id="T_4b89a_row5_col0" class="data row5 col0" >28</td>
+      <td id="T_4b89a_row5_col1" class="data row5 col1" >f</td>
+      <td id="T_4b89a_row5_col2" class="data row5 col2" >61</td>
+      <td id="T_4b89a_row5_col3" class="data row5 col3" >80</td>
+      <td id="T_4b89a_row5_col4" class="data row5 col4" >20</td>
+      <td id="T_4b89a_row5_col5" class="data row5 col5" >50.000000</td>
+      <td id="T_4b89a_row5_col6" class="data row5 col6" >71.000000</td>
+      <td id="T_4b89a_row5_col7" class="data row5 col7" >63.000000</td>
+      <td id="T_4b89a_row5_col8" class="data row5 col8" >31.000000</td>
+      <td id="T_4b89a_row5_col9" class="data row5 col9" >72.500000</td>
+      <td id="T_4b89a_row5_col10" class="data row5 col10" >64.500000</td>
+      <td id="T_4b89a_row5_col11" class="data row5 col11" >70.500000</td>
+      <td id="T_4b89a_row5_col12" class="data row5 col12" >15</td>
+      <td id="T_4b89a_row5_col13" class="data row5 col13" >14</td>
+      <td id="T_4b89a_row5_col14" class="data row5 col14" >2</td>
+      <td id="T_4b89a_row5_col15" class="data row5 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_4b89a_level0_row6" class="row_heading level0 row6" >6</th>
+      <td id="T_4b89a_row6_col0" class="data row6 col0" >30</td>
+      <td id="T_4b89a_row6_col1" class="data row6 col1" >m</td>
+      <td id="T_4b89a_row6_col2" class="data row6 col2" >32</td>
+      <td id="T_4b89a_row6_col3" class="data row6 col3" >90</td>
+      <td id="T_4b89a_row6_col4" class="data row6 col4" >75</td>
+      <td id="T_4b89a_row6_col5" class="data row6 col5" >82.500000</td>
+      <td id="T_4b89a_row6_col6" class="data row6 col6" >67.000000</td>
+      <td id="T_4b89a_row6_col7" class="data row6 col7" >56.500000</td>
+      <td id="T_4b89a_row6_col8" class="data row6 col8" >66.000000</td>
+      <td id="T_4b89a_row6_col9" class="data row6 col9" >65.000000</td>
+      <td id="T_4b89a_row6_col10" class="data row6 col10" >66.000000</td>
+      <td id="T_4b89a_row6_col11" class="data row6 col11" >64.000000</td>
+      <td id="T_4b89a_row6_col12" class="data row6 col12" >16</td>
+      <td id="T_4b89a_row6_col13" class="data row6 col13" >9</td>
+      <td id="T_4b89a_row6_col14" class="data row6 col14" >3</td>
+      <td id="T_4b89a_row6_col15" class="data row6 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_4b89a_level0_row7" class="row_heading level0 row7" >7</th>
+      <td id="T_4b89a_row7_col0" class="data row7 col0" >33</td>
+      <td id="T_4b89a_row7_col1" class="data row7 col1" >m</td>
+      <td id="T_4b89a_row7_col2" class="data row7 col2" >62</td>
+      <td id="T_4b89a_row7_col3" class="data row7 col3" >45</td>
+      <td id="T_4b89a_row7_col4" class="data row7 col4" >90</td>
+      <td id="T_4b89a_row7_col5" class="data row7 col5" >67.500000</td>
+      <td id="T_4b89a_row7_col6" class="data row7 col6" >54.000000</td>
+      <td id="T_4b89a_row7_col7" class="data row7 col7" >37.000000</td>
+      <td id="T_4b89a_row7_col8" class="data row7 col8" >65.000000</td>
+      <td id="T_4b89a_row7_col9" class="data row7 col9" >81.500000</td>
+      <td id="T_4b89a_row7_col10" class="data row7 col10" >62.000000</td>
+      <td id="T_4b89a_row7_col11" class="data row7 col11" >61.000000</td>
+      <td id="T_4b89a_row7_col12" class="data row7 col12" >14</td>
+      <td id="T_4b89a_row7_col13" class="data row7 col13" >9</td>
+      <td id="T_4b89a_row7_col14" class="data row7 col14" >9</td>
+      <td id="T_4b89a_row7_col15" class="data row7 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_4b89a_level0_row8" class="row_heading level0 row8" >8</th>
+      <td id="T_4b89a_row8_col0" class="data row8 col0" >34</td>
+      <td id="T_4b89a_row8_col1" class="data row8 col1" >f</td>
+      <td id="T_4b89a_row8_col2" class="data row8 col2" >33</td>
+      <td id="T_4b89a_row8_col3" class="data row8 col3" >80</td>
+      <td id="T_4b89a_row8_col4" class="data row8 col4" >100</td>
+      <td id="T_4b89a_row8_col5" class="data row8 col5" >90.000000</td>
+      <td id="T_4b89a_row8_col6" class="data row8 col6" >70.500000</td>
+      <td id="T_4b89a_row8_col7" class="data row8 col7" >76.500000</td>
+      <td id="T_4b89a_row8_col8" class="data row8 col8" >64.500000</td>
+      <td id="T_4b89a_row8_col9" class="data row8 col9" >nan</td>
+      <td id="T_4b89a_row8_col10" class="data row8 col10" >68.000000</td>
+      <td id="T_4b89a_row8_col11" class="data row8 col11" >76.500000</td>
+      <td id="T_4b89a_row8_col12" class="data row8 col12" >14</td>
+      <td id="T_4b89a_row8_col13" class="data row8 col13" >12</td>
+      <td id="T_4b89a_row8_col14" class="data row8 col14" >10</td>
+      <td id="T_4b89a_row8_col15" class="data row8 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_4b89a_level0_row9" class="row_heading level0 row9" >9</th>
+      <td id="T_4b89a_row9_col0" class="data row9 col0" >35</td>
+      <td id="T_4b89a_row9_col1" class="data row9 col1" >f</td>
+      <td id="T_4b89a_row9_col2" class="data row9 col2" >53</td>
+      <td id="T_4b89a_row9_col3" class="data row9 col3" >100</td>
+      <td id="T_4b89a_row9_col4" class="data row9 col4" >50</td>
+      <td id="T_4b89a_row9_col5" class="data row9 col5" >75.000000</td>
+      <td id="T_4b89a_row9_col6" class="data row9 col6" >74.500000</td>
+      <td id="T_4b89a_row9_col7" class="data row9 col7" >nan</td>
+      <td id="T_4b89a_row9_col8" class="data row9 col8" >60.500000</td>
+      <td id="T_4b89a_row9_col9" class="data row9 col9" >65.000000</td>
+      <td id="T_4b89a_row9_col10" class="data row9 col10" >71.000000</td>
+      <td id="T_4b89a_row9_col11" class="data row9 col11" >65.000000</td>
+      <td id="T_4b89a_row9_col12" class="data row9 col12" >14</td>
+      <td id="T_4b89a_row9_col13" class="data row9 col13" >8</td>
+      <td id="T_4b89a_row9_col14" class="data row9 col14" >7</td>
+      <td id="T_4b89a_row9_col15" class="data row9 col15" >True</td>
     </tr>
   </tbody>
 </table></div>
@@ -2477,255 +2477,255 @@ <h2>Styling a data frame<a class="headerlink" href="#Styling-a-data-frame" title
 </div>
 <div class="output_area rendered_html docutils container">
 <style type="text/css">
-#T_1f587_row0_col5 {
+#T_cc820_row0_col5 {
   background-color: #f85f43;
   color: #f1f1f1;
 }
-#T_1f587_row1_col5, #T_1f587_row8_col5 {
+#T_cc820_row1_col5, #T_cc820_row8_col5 {
   background-color: #840711;
   color: #f1f1f1;
 }
-#T_1f587_row2_col5 {
+#T_cc820_row2_col5 {
   background-color: #67000d;
   color: #f1f1f1;
 }
-#T_1f587_row3_col5 {
+#T_cc820_row3_col5 {
   background-color: #a10e15;
   color: #f1f1f1;
 }
-#T_1f587_row4_col5 {
+#T_cc820_row4_col5 {
   background-color: #fcad90;
   color: #000000;
 }
-#T_1f587_row5_col5 {
+#T_cc820_row5_col5 {
   background-color: #fff5f0;
   color: #000000;
 }
-#T_1f587_row6_col5 {
+#T_cc820_row6_col5 {
   background-color: #c7171c;
   color: #f1f1f1;
 }
-#T_1f587_row7_col5 {
+#T_cc820_row7_col5 {
   background-color: #fc8666;
   color: #f1f1f1;
 }
-#T_1f587_row9_col5 {
+#T_cc820_row9_col5 {
   background-color: #f34935;
   color: #f1f1f1;
 }
 </style>
-<table id="T_1f587">
+<table id="T_cc820">
   <thead>
     <tr>
       <th class="blank level0" >&nbsp;</th>
-      <th id="T_1f587_level0_col0" class="col_heading level0 col0" >participant number</th>
-      <th id="T_1f587_level0_col1" class="col_heading level0 col1" >gender</th>
-      <th id="T_1f587_level0_col2" class="col_heading level0 col2" >age</th>
-      <th id="T_1f587_level0_col3" class="col_heading level0 col3" >correct hit percentage</th>
-      <th id="T_1f587_level0_col4" class="col_heading level0 col4" >correct reject percentage</th>
-      <th id="T_1f587_level0_col5" class="col_heading level0 col5" >percent correct</th>
-      <th id="T_1f587_level0_col6" class="col_heading level0 col6" >confidence when correct hit</th>
-      <th id="T_1f587_level0_col7" class="col_heading level0 col7" >confidence when incorrect hit</th>
-      <th id="T_1f587_level0_col8" class="col_heading level0 col8" >confidence when correct reject</th>
-      <th id="T_1f587_level0_col9" class="col_heading level0 col9" >confidence when incorrect reject</th>
-      <th id="T_1f587_level0_col10" class="col_heading level0 col10" >confidence when correct</th>
-      <th id="T_1f587_level0_col11" class="col_heading level0 col11" >confidence when incorrect</th>
-      <th id="T_1f587_level0_col12" class="col_heading level0 col12" >sci</th>
-      <th id="T_1f587_level0_col13" class="col_heading level0 col13" >psqi</th>
-      <th id="T_1f587_level0_col14" class="col_heading level0 col14" >ess</th>
-      <th id="T_1f587_level0_col15" class="col_heading level0 col15" >insomnia</th>
+      <th id="T_cc820_level0_col0" class="col_heading level0 col0" >participant number</th>
+      <th id="T_cc820_level0_col1" class="col_heading level0 col1" >gender</th>
+      <th id="T_cc820_level0_col2" class="col_heading level0 col2" >age</th>
+      <th id="T_cc820_level0_col3" class="col_heading level0 col3" >correct hit percentage</th>
+      <th id="T_cc820_level0_col4" class="col_heading level0 col4" >correct reject percentage</th>
+      <th id="T_cc820_level0_col5" class="col_heading level0 col5" >percent correct</th>
+      <th id="T_cc820_level0_col6" class="col_heading level0 col6" >confidence when correct hit</th>
+      <th id="T_cc820_level0_col7" class="col_heading level0 col7" >confidence when incorrect hit</th>
+      <th id="T_cc820_level0_col8" class="col_heading level0 col8" >confidence when correct reject</th>
+      <th id="T_cc820_level0_col9" class="col_heading level0 col9" >confidence when incorrect reject</th>
+      <th id="T_cc820_level0_col10" class="col_heading level0 col10" >confidence when correct</th>
+      <th id="T_cc820_level0_col11" class="col_heading level0 col11" >confidence when incorrect</th>
+      <th id="T_cc820_level0_col12" class="col_heading level0 col12" >sci</th>
+      <th id="T_cc820_level0_col13" class="col_heading level0 col13" >psqi</th>
+      <th id="T_cc820_level0_col14" class="col_heading level0 col14" >ess</th>
+      <th id="T_cc820_level0_col15" class="col_heading level0 col15" >insomnia</th>
     </tr>
   </thead>
   <tbody>
     <tr>
-      <th id="T_1f587_level0_row0" class="row_heading level0 row0" >0</th>
-      <td id="T_1f587_row0_col0" class="data row0 col0" >8</td>
-      <td id="T_1f587_row0_col1" class="data row0 col1" >f</td>
-      <td id="T_1f587_row0_col2" class="data row0 col2" >39</td>
-      <td id="T_1f587_row0_col3" class="data row0 col3" >65</td>
-      <td id="T_1f587_row0_col4" class="data row0 col4" >80</td>
-      <td id="T_1f587_row0_col5" class="data row0 col5" >72.500000</td>
-      <td id="T_1f587_row0_col6" class="data row0 col6" >91.000000</td>
-      <td id="T_1f587_row0_col7" class="data row0 col7" >90.000000</td>
-      <td id="T_1f587_row0_col8" class="data row0 col8" >93.000000</td>
-      <td id="T_1f587_row0_col9" class="data row0 col9" >83.500000</td>
-      <td id="T_1f587_row0_col10" class="data row0 col10" >93.000000</td>
-      <td id="T_1f587_row0_col11" class="data row0 col11" >90.000000</td>
-      <td id="T_1f587_row0_col12" class="data row0 col12" >9</td>
-      <td id="T_1f587_row0_col13" class="data row0 col13" >13</td>
-      <td id="T_1f587_row0_col14" class="data row0 col14" >2</td>
-      <td id="T_1f587_row0_col15" class="data row0 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_1f587_level0_row1" class="row_heading level0 row1" >1</th>
-      <td id="T_1f587_row1_col0" class="data row1 col0" >16</td>
-      <td id="T_1f587_row1_col1" class="data row1 col1" >m</td>
-      <td id="T_1f587_row1_col2" class="data row1 col2" >42</td>
-      <td id="T_1f587_row1_col3" class="data row1 col3" >90</td>
-      <td id="T_1f587_row1_col4" class="data row1 col4" >90</td>
-      <td id="T_1f587_row1_col5" class="data row1 col5" >90.000000</td>
-      <td id="T_1f587_row1_col6" class="data row1 col6" >75.500000</td>
-      <td id="T_1f587_row1_col7" class="data row1 col7" >55.500000</td>
-      <td id="T_1f587_row1_col8" class="data row1 col8" >70.500000</td>
-      <td id="T_1f587_row1_col9" class="data row1 col9" >50.000000</td>
-      <td id="T_1f587_row1_col10" class="data row1 col10" >75.000000</td>
-      <td id="T_1f587_row1_col11" class="data row1 col11" >50.000000</td>
-      <td id="T_1f587_row1_col12" class="data row1 col12" >4</td>
-      <td id="T_1f587_row1_col13" class="data row1 col13" >11</td>
-      <td id="T_1f587_row1_col14" class="data row1 col14" >7</td>
-      <td id="T_1f587_row1_col15" class="data row1 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_1f587_level0_row2" class="row_heading level0 row2" >2</th>
-      <td id="T_1f587_row2_col0" class="data row2 col0" >18</td>
-      <td id="T_1f587_row2_col1" class="data row2 col1" >f</td>
-      <td id="T_1f587_row2_col2" class="data row2 col2" >31</td>
-      <td id="T_1f587_row2_col3" class="data row2 col3" >90</td>
-      <td id="T_1f587_row2_col4" class="data row2 col4" >95</td>
-      <td id="T_1f587_row2_col5" class="data row2 col5" >92.500000</td>
-      <td id="T_1f587_row2_col6" class="data row2 col6" >89.500000</td>
-      <td id="T_1f587_row2_col7" class="data row2 col7" >90.000000</td>
-      <td id="T_1f587_row2_col8" class="data row2 col8" >86.000000</td>
-      <td id="T_1f587_row2_col9" class="data row2 col9" >81.000000</td>
-      <td id="T_1f587_row2_col10" class="data row2 col10" >89.000000</td>
-      <td id="T_1f587_row2_col11" class="data row2 col11" >88.000000</td>
-      <td id="T_1f587_row2_col12" class="data row2 col12" >10</td>
-      <td id="T_1f587_row2_col13" class="data row2 col13" >9</td>
-      <td id="T_1f587_row2_col14" class="data row2 col14" >3</td>
-      <td id="T_1f587_row2_col15" class="data row2 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_1f587_level0_row3" class="row_heading level0 row3" >3</th>
-      <td id="T_1f587_row3_col0" class="data row3 col0" >22</td>
-      <td id="T_1f587_row3_col1" class="data row3 col1" >f</td>
-      <td id="T_1f587_row3_col2" class="data row3 col2" >35</td>
-      <td id="T_1f587_row3_col3" class="data row3 col3" >100</td>
-      <td id="T_1f587_row3_col4" class="data row3 col4" >75</td>
-      <td id="T_1f587_row3_col5" class="data row3 col5" >87.500000</td>
-      <td id="T_1f587_row3_col6" class="data row3 col6" >89.500000</td>
-      <td id="T_1f587_row3_col7" class="data row3 col7" >nan</td>
-      <td id="T_1f587_row3_col8" class="data row3 col8" >71.000000</td>
-      <td id="T_1f587_row3_col9" class="data row3 col9" >80.000000</td>
-      <td id="T_1f587_row3_col10" class="data row3 col10" >88.000000</td>
-      <td id="T_1f587_row3_col11" class="data row3 col11" >80.000000</td>
-      <td id="T_1f587_row3_col12" class="data row3 col12" >13</td>
-      <td id="T_1f587_row3_col13" class="data row3 col13" >8</td>
-      <td id="T_1f587_row3_col14" class="data row3 col14" >20</td>
-      <td id="T_1f587_row3_col15" class="data row3 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_1f587_level0_row4" class="row_heading level0 row4" >4</th>
-      <td id="T_1f587_row4_col0" class="data row4 col0" >27</td>
-      <td id="T_1f587_row4_col1" class="data row4 col1" >f</td>
-      <td id="T_1f587_row4_col2" class="data row4 col2" >74</td>
-      <td id="T_1f587_row4_col3" class="data row4 col3" >60</td>
-      <td id="T_1f587_row4_col4" class="data row4 col4" >65</td>
-      <td id="T_1f587_row4_col5" class="data row4 col5" >62.500000</td>
-      <td id="T_1f587_row4_col6" class="data row4 col6" >68.500000</td>
-      <td id="T_1f587_row4_col7" class="data row4 col7" >49.000000</td>
-      <td id="T_1f587_row4_col8" class="data row4 col8" >61.000000</td>
-      <td id="T_1f587_row4_col9" class="data row4 col9" >49.000000</td>
-      <td id="T_1f587_row4_col10" class="data row4 col10" >65.000000</td>
-      <td id="T_1f587_row4_col11" class="data row4 col11" >49.000000</td>
-      <td id="T_1f587_row4_col12" class="data row4 col12" >13</td>
-      <td id="T_1f587_row4_col13" class="data row4 col13" >9</td>
-      <td id="T_1f587_row4_col14" class="data row4 col14" >12</td>
-      <td id="T_1f587_row4_col15" class="data row4 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_1f587_level0_row5" class="row_heading level0 row5" >5</th>
-      <td id="T_1f587_row5_col0" class="data row5 col0" >28</td>
-      <td id="T_1f587_row5_col1" class="data row5 col1" >f</td>
-      <td id="T_1f587_row5_col2" class="data row5 col2" >61</td>
-      <td id="T_1f587_row5_col3" class="data row5 col3" >80</td>
-      <td id="T_1f587_row5_col4" class="data row5 col4" >20</td>
-      <td id="T_1f587_row5_col5" class="data row5 col5" >50.000000</td>
-      <td id="T_1f587_row5_col6" class="data row5 col6" >71.000000</td>
-      <td id="T_1f587_row5_col7" class="data row5 col7" >63.000000</td>
-      <td id="T_1f587_row5_col8" class="data row5 col8" >31.000000</td>
-      <td id="T_1f587_row5_col9" class="data row5 col9" >72.500000</td>
-      <td id="T_1f587_row5_col10" class="data row5 col10" >64.500000</td>
-      <td id="T_1f587_row5_col11" class="data row5 col11" >70.500000</td>
-      <td id="T_1f587_row5_col12" class="data row5 col12" >15</td>
-      <td id="T_1f587_row5_col13" class="data row5 col13" >14</td>
-      <td id="T_1f587_row5_col14" class="data row5 col14" >2</td>
-      <td id="T_1f587_row5_col15" class="data row5 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_1f587_level0_row6" class="row_heading level0 row6" >6</th>
-      <td id="T_1f587_row6_col0" class="data row6 col0" >30</td>
-      <td id="T_1f587_row6_col1" class="data row6 col1" >m</td>
-      <td id="T_1f587_row6_col2" class="data row6 col2" >32</td>
-      <td id="T_1f587_row6_col3" class="data row6 col3" >90</td>
-      <td id="T_1f587_row6_col4" class="data row6 col4" >75</td>
-      <td id="T_1f587_row6_col5" class="data row6 col5" >82.500000</td>
-      <td id="T_1f587_row6_col6" class="data row6 col6" >67.000000</td>
-      <td id="T_1f587_row6_col7" class="data row6 col7" >56.500000</td>
-      <td id="T_1f587_row6_col8" class="data row6 col8" >66.000000</td>
-      <td id="T_1f587_row6_col9" class="data row6 col9" >65.000000</td>
-      <td id="T_1f587_row6_col10" class="data row6 col10" >66.000000</td>
-      <td id="T_1f587_row6_col11" class="data row6 col11" >64.000000</td>
-      <td id="T_1f587_row6_col12" class="data row6 col12" >16</td>
-      <td id="T_1f587_row6_col13" class="data row6 col13" >9</td>
-      <td id="T_1f587_row6_col14" class="data row6 col14" >3</td>
-      <td id="T_1f587_row6_col15" class="data row6 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_1f587_level0_row7" class="row_heading level0 row7" >7</th>
-      <td id="T_1f587_row7_col0" class="data row7 col0" >33</td>
-      <td id="T_1f587_row7_col1" class="data row7 col1" >m</td>
-      <td id="T_1f587_row7_col2" class="data row7 col2" >62</td>
-      <td id="T_1f587_row7_col3" class="data row7 col3" >45</td>
-      <td id="T_1f587_row7_col4" class="data row7 col4" >90</td>
-      <td id="T_1f587_row7_col5" class="data row7 col5" >67.500000</td>
-      <td id="T_1f587_row7_col6" class="data row7 col6" >54.000000</td>
-      <td id="T_1f587_row7_col7" class="data row7 col7" >37.000000</td>
-      <td id="T_1f587_row7_col8" class="data row7 col8" >65.000000</td>
-      <td id="T_1f587_row7_col9" class="data row7 col9" >81.500000</td>
-      <td id="T_1f587_row7_col10" class="data row7 col10" >62.000000</td>
-      <td id="T_1f587_row7_col11" class="data row7 col11" >61.000000</td>
-      <td id="T_1f587_row7_col12" class="data row7 col12" >14</td>
-      <td id="T_1f587_row7_col13" class="data row7 col13" >9</td>
-      <td id="T_1f587_row7_col14" class="data row7 col14" >9</td>
-      <td id="T_1f587_row7_col15" class="data row7 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_1f587_level0_row8" class="row_heading level0 row8" >8</th>
-      <td id="T_1f587_row8_col0" class="data row8 col0" >34</td>
-      <td id="T_1f587_row8_col1" class="data row8 col1" >f</td>
-      <td id="T_1f587_row8_col2" class="data row8 col2" >33</td>
-      <td id="T_1f587_row8_col3" class="data row8 col3" >80</td>
-      <td id="T_1f587_row8_col4" class="data row8 col4" >100</td>
-      <td id="T_1f587_row8_col5" class="data row8 col5" >90.000000</td>
-      <td id="T_1f587_row8_col6" class="data row8 col6" >70.500000</td>
-      <td id="T_1f587_row8_col7" class="data row8 col7" >76.500000</td>
-      <td id="T_1f587_row8_col8" class="data row8 col8" >64.500000</td>
-      <td id="T_1f587_row8_col9" class="data row8 col9" >nan</td>
-      <td id="T_1f587_row8_col10" class="data row8 col10" >68.000000</td>
-      <td id="T_1f587_row8_col11" class="data row8 col11" >76.500000</td>
-      <td id="T_1f587_row8_col12" class="data row8 col12" >14</td>
-      <td id="T_1f587_row8_col13" class="data row8 col13" >12</td>
-      <td id="T_1f587_row8_col14" class="data row8 col14" >10</td>
-      <td id="T_1f587_row8_col15" class="data row8 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_1f587_level0_row9" class="row_heading level0 row9" >9</th>
-      <td id="T_1f587_row9_col0" class="data row9 col0" >35</td>
-      <td id="T_1f587_row9_col1" class="data row9 col1" >f</td>
-      <td id="T_1f587_row9_col2" class="data row9 col2" >53</td>
-      <td id="T_1f587_row9_col3" class="data row9 col3" >100</td>
-      <td id="T_1f587_row9_col4" class="data row9 col4" >50</td>
-      <td id="T_1f587_row9_col5" class="data row9 col5" >75.000000</td>
-      <td id="T_1f587_row9_col6" class="data row9 col6" >74.500000</td>
-      <td id="T_1f587_row9_col7" class="data row9 col7" >nan</td>
-      <td id="T_1f587_row9_col8" class="data row9 col8" >60.500000</td>
-      <td id="T_1f587_row9_col9" class="data row9 col9" >65.000000</td>
-      <td id="T_1f587_row9_col10" class="data row9 col10" >71.000000</td>
-      <td id="T_1f587_row9_col11" class="data row9 col11" >65.000000</td>
-      <td id="T_1f587_row9_col12" class="data row9 col12" >14</td>
-      <td id="T_1f587_row9_col13" class="data row9 col13" >8</td>
-      <td id="T_1f587_row9_col14" class="data row9 col14" >7</td>
-      <td id="T_1f587_row9_col15" class="data row9 col15" >True</td>
+      <th id="T_cc820_level0_row0" class="row_heading level0 row0" >0</th>
+      <td id="T_cc820_row0_col0" class="data row0 col0" >8</td>
+      <td id="T_cc820_row0_col1" class="data row0 col1" >f</td>
+      <td id="T_cc820_row0_col2" class="data row0 col2" >39</td>
+      <td id="T_cc820_row0_col3" class="data row0 col3" >65</td>
+      <td id="T_cc820_row0_col4" class="data row0 col4" >80</td>
+      <td id="T_cc820_row0_col5" class="data row0 col5" >72.500000</td>
+      <td id="T_cc820_row0_col6" class="data row0 col6" >91.000000</td>
+      <td id="T_cc820_row0_col7" class="data row0 col7" >90.000000</td>
+      <td id="T_cc820_row0_col8" class="data row0 col8" >93.000000</td>
+      <td id="T_cc820_row0_col9" class="data row0 col9" >83.500000</td>
+      <td id="T_cc820_row0_col10" class="data row0 col10" >93.000000</td>
+      <td id="T_cc820_row0_col11" class="data row0 col11" >90.000000</td>
+      <td id="T_cc820_row0_col12" class="data row0 col12" >9</td>
+      <td id="T_cc820_row0_col13" class="data row0 col13" >13</td>
+      <td id="T_cc820_row0_col14" class="data row0 col14" >2</td>
+      <td id="T_cc820_row0_col15" class="data row0 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_cc820_level0_row1" class="row_heading level0 row1" >1</th>
+      <td id="T_cc820_row1_col0" class="data row1 col0" >16</td>
+      <td id="T_cc820_row1_col1" class="data row1 col1" >m</td>
+      <td id="T_cc820_row1_col2" class="data row1 col2" >42</td>
+      <td id="T_cc820_row1_col3" class="data row1 col3" >90</td>
+      <td id="T_cc820_row1_col4" class="data row1 col4" >90</td>
+      <td id="T_cc820_row1_col5" class="data row1 col5" >90.000000</td>
+      <td id="T_cc820_row1_col6" class="data row1 col6" >75.500000</td>
+      <td id="T_cc820_row1_col7" class="data row1 col7" >55.500000</td>
+      <td id="T_cc820_row1_col8" class="data row1 col8" >70.500000</td>
+      <td id="T_cc820_row1_col9" class="data row1 col9" >50.000000</td>
+      <td id="T_cc820_row1_col10" class="data row1 col10" >75.000000</td>
+      <td id="T_cc820_row1_col11" class="data row1 col11" >50.000000</td>
+      <td id="T_cc820_row1_col12" class="data row1 col12" >4</td>
+      <td id="T_cc820_row1_col13" class="data row1 col13" >11</td>
+      <td id="T_cc820_row1_col14" class="data row1 col14" >7</td>
+      <td id="T_cc820_row1_col15" class="data row1 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_cc820_level0_row2" class="row_heading level0 row2" >2</th>
+      <td id="T_cc820_row2_col0" class="data row2 col0" >18</td>
+      <td id="T_cc820_row2_col1" class="data row2 col1" >f</td>
+      <td id="T_cc820_row2_col2" class="data row2 col2" >31</td>
+      <td id="T_cc820_row2_col3" class="data row2 col3" >90</td>
+      <td id="T_cc820_row2_col4" class="data row2 col4" >95</td>
+      <td id="T_cc820_row2_col5" class="data row2 col5" >92.500000</td>
+      <td id="T_cc820_row2_col6" class="data row2 col6" >89.500000</td>
+      <td id="T_cc820_row2_col7" class="data row2 col7" >90.000000</td>
+      <td id="T_cc820_row2_col8" class="data row2 col8" >86.000000</td>
+      <td id="T_cc820_row2_col9" class="data row2 col9" >81.000000</td>
+      <td id="T_cc820_row2_col10" class="data row2 col10" >89.000000</td>
+      <td id="T_cc820_row2_col11" class="data row2 col11" >88.000000</td>
+      <td id="T_cc820_row2_col12" class="data row2 col12" >10</td>
+      <td id="T_cc820_row2_col13" class="data row2 col13" >9</td>
+      <td id="T_cc820_row2_col14" class="data row2 col14" >3</td>
+      <td id="T_cc820_row2_col15" class="data row2 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_cc820_level0_row3" class="row_heading level0 row3" >3</th>
+      <td id="T_cc820_row3_col0" class="data row3 col0" >22</td>
+      <td id="T_cc820_row3_col1" class="data row3 col1" >f</td>
+      <td id="T_cc820_row3_col2" class="data row3 col2" >35</td>
+      <td id="T_cc820_row3_col3" class="data row3 col3" >100</td>
+      <td id="T_cc820_row3_col4" class="data row3 col4" >75</td>
+      <td id="T_cc820_row3_col5" class="data row3 col5" >87.500000</td>
+      <td id="T_cc820_row3_col6" class="data row3 col6" >89.500000</td>
+      <td id="T_cc820_row3_col7" class="data row3 col7" >nan</td>
+      <td id="T_cc820_row3_col8" class="data row3 col8" >71.000000</td>
+      <td id="T_cc820_row3_col9" class="data row3 col9" >80.000000</td>
+      <td id="T_cc820_row3_col10" class="data row3 col10" >88.000000</td>
+      <td id="T_cc820_row3_col11" class="data row3 col11" >80.000000</td>
+      <td id="T_cc820_row3_col12" class="data row3 col12" >13</td>
+      <td id="T_cc820_row3_col13" class="data row3 col13" >8</td>
+      <td id="T_cc820_row3_col14" class="data row3 col14" >20</td>
+      <td id="T_cc820_row3_col15" class="data row3 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_cc820_level0_row4" class="row_heading level0 row4" >4</th>
+      <td id="T_cc820_row4_col0" class="data row4 col0" >27</td>
+      <td id="T_cc820_row4_col1" class="data row4 col1" >f</td>
+      <td id="T_cc820_row4_col2" class="data row4 col2" >74</td>
+      <td id="T_cc820_row4_col3" class="data row4 col3" >60</td>
+      <td id="T_cc820_row4_col4" class="data row4 col4" >65</td>
+      <td id="T_cc820_row4_col5" class="data row4 col5" >62.500000</td>
+      <td id="T_cc820_row4_col6" class="data row4 col6" >68.500000</td>
+      <td id="T_cc820_row4_col7" class="data row4 col7" >49.000000</td>
+      <td id="T_cc820_row4_col8" class="data row4 col8" >61.000000</td>
+      <td id="T_cc820_row4_col9" class="data row4 col9" >49.000000</td>
+      <td id="T_cc820_row4_col10" class="data row4 col10" >65.000000</td>
+      <td id="T_cc820_row4_col11" class="data row4 col11" >49.000000</td>
+      <td id="T_cc820_row4_col12" class="data row4 col12" >13</td>
+      <td id="T_cc820_row4_col13" class="data row4 col13" >9</td>
+      <td id="T_cc820_row4_col14" class="data row4 col14" >12</td>
+      <td id="T_cc820_row4_col15" class="data row4 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_cc820_level0_row5" class="row_heading level0 row5" >5</th>
+      <td id="T_cc820_row5_col0" class="data row5 col0" >28</td>
+      <td id="T_cc820_row5_col1" class="data row5 col1" >f</td>
+      <td id="T_cc820_row5_col2" class="data row5 col2" >61</td>
+      <td id="T_cc820_row5_col3" class="data row5 col3" >80</td>
+      <td id="T_cc820_row5_col4" class="data row5 col4" >20</td>
+      <td id="T_cc820_row5_col5" class="data row5 col5" >50.000000</td>
+      <td id="T_cc820_row5_col6" class="data row5 col6" >71.000000</td>
+      <td id="T_cc820_row5_col7" class="data row5 col7" >63.000000</td>
+      <td id="T_cc820_row5_col8" class="data row5 col8" >31.000000</td>
+      <td id="T_cc820_row5_col9" class="data row5 col9" >72.500000</td>
+      <td id="T_cc820_row5_col10" class="data row5 col10" >64.500000</td>
+      <td id="T_cc820_row5_col11" class="data row5 col11" >70.500000</td>
+      <td id="T_cc820_row5_col12" class="data row5 col12" >15</td>
+      <td id="T_cc820_row5_col13" class="data row5 col13" >14</td>
+      <td id="T_cc820_row5_col14" class="data row5 col14" >2</td>
+      <td id="T_cc820_row5_col15" class="data row5 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_cc820_level0_row6" class="row_heading level0 row6" >6</th>
+      <td id="T_cc820_row6_col0" class="data row6 col0" >30</td>
+      <td id="T_cc820_row6_col1" class="data row6 col1" >m</td>
+      <td id="T_cc820_row6_col2" class="data row6 col2" >32</td>
+      <td id="T_cc820_row6_col3" class="data row6 col3" >90</td>
+      <td id="T_cc820_row6_col4" class="data row6 col4" >75</td>
+      <td id="T_cc820_row6_col5" class="data row6 col5" >82.500000</td>
+      <td id="T_cc820_row6_col6" class="data row6 col6" >67.000000</td>
+      <td id="T_cc820_row6_col7" class="data row6 col7" >56.500000</td>
+      <td id="T_cc820_row6_col8" class="data row6 col8" >66.000000</td>
+      <td id="T_cc820_row6_col9" class="data row6 col9" >65.000000</td>
+      <td id="T_cc820_row6_col10" class="data row6 col10" >66.000000</td>
+      <td id="T_cc820_row6_col11" class="data row6 col11" >64.000000</td>
+      <td id="T_cc820_row6_col12" class="data row6 col12" >16</td>
+      <td id="T_cc820_row6_col13" class="data row6 col13" >9</td>
+      <td id="T_cc820_row6_col14" class="data row6 col14" >3</td>
+      <td id="T_cc820_row6_col15" class="data row6 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_cc820_level0_row7" class="row_heading level0 row7" >7</th>
+      <td id="T_cc820_row7_col0" class="data row7 col0" >33</td>
+      <td id="T_cc820_row7_col1" class="data row7 col1" >m</td>
+      <td id="T_cc820_row7_col2" class="data row7 col2" >62</td>
+      <td id="T_cc820_row7_col3" class="data row7 col3" >45</td>
+      <td id="T_cc820_row7_col4" class="data row7 col4" >90</td>
+      <td id="T_cc820_row7_col5" class="data row7 col5" >67.500000</td>
+      <td id="T_cc820_row7_col6" class="data row7 col6" >54.000000</td>
+      <td id="T_cc820_row7_col7" class="data row7 col7" >37.000000</td>
+      <td id="T_cc820_row7_col8" class="data row7 col8" >65.000000</td>
+      <td id="T_cc820_row7_col9" class="data row7 col9" >81.500000</td>
+      <td id="T_cc820_row7_col10" class="data row7 col10" >62.000000</td>
+      <td id="T_cc820_row7_col11" class="data row7 col11" >61.000000</td>
+      <td id="T_cc820_row7_col12" class="data row7 col12" >14</td>
+      <td id="T_cc820_row7_col13" class="data row7 col13" >9</td>
+      <td id="T_cc820_row7_col14" class="data row7 col14" >9</td>
+      <td id="T_cc820_row7_col15" class="data row7 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_cc820_level0_row8" class="row_heading level0 row8" >8</th>
+      <td id="T_cc820_row8_col0" class="data row8 col0" >34</td>
+      <td id="T_cc820_row8_col1" class="data row8 col1" >f</td>
+      <td id="T_cc820_row8_col2" class="data row8 col2" >33</td>
+      <td id="T_cc820_row8_col3" class="data row8 col3" >80</td>
+      <td id="T_cc820_row8_col4" class="data row8 col4" >100</td>
+      <td id="T_cc820_row8_col5" class="data row8 col5" >90.000000</td>
+      <td id="T_cc820_row8_col6" class="data row8 col6" >70.500000</td>
+      <td id="T_cc820_row8_col7" class="data row8 col7" >76.500000</td>
+      <td id="T_cc820_row8_col8" class="data row8 col8" >64.500000</td>
+      <td id="T_cc820_row8_col9" class="data row8 col9" >nan</td>
+      <td id="T_cc820_row8_col10" class="data row8 col10" >68.000000</td>
+      <td id="T_cc820_row8_col11" class="data row8 col11" >76.500000</td>
+      <td id="T_cc820_row8_col12" class="data row8 col12" >14</td>
+      <td id="T_cc820_row8_col13" class="data row8 col13" >12</td>
+      <td id="T_cc820_row8_col14" class="data row8 col14" >10</td>
+      <td id="T_cc820_row8_col15" class="data row8 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_cc820_level0_row9" class="row_heading level0 row9" >9</th>
+      <td id="T_cc820_row9_col0" class="data row9 col0" >35</td>
+      <td id="T_cc820_row9_col1" class="data row9 col1" >f</td>
+      <td id="T_cc820_row9_col2" class="data row9 col2" >53</td>
+      <td id="T_cc820_row9_col3" class="data row9 col3" >100</td>
+      <td id="T_cc820_row9_col4" class="data row9 col4" >50</td>
+      <td id="T_cc820_row9_col5" class="data row9 col5" >75.000000</td>
+      <td id="T_cc820_row9_col6" class="data row9 col6" >74.500000</td>
+      <td id="T_cc820_row9_col7" class="data row9 col7" >nan</td>
+      <td id="T_cc820_row9_col8" class="data row9 col8" >60.500000</td>
+      <td id="T_cc820_row9_col9" class="data row9 col9" >65.000000</td>
+      <td id="T_cc820_row9_col10" class="data row9 col10" >71.000000</td>
+      <td id="T_cc820_row9_col11" class="data row9 col11" >65.000000</td>
+      <td id="T_cc820_row9_col12" class="data row9 col12" >14</td>
+      <td id="T_cc820_row9_col13" class="data row9 col13" >8</td>
+      <td id="T_cc820_row9_col14" class="data row9 col14" >7</td>
+      <td id="T_cc820_row9_col15" class="data row9 col15" >True</td>
     </tr>
   </tbody>
 </table></div>
@@ -2749,275 +2749,275 @@ <h2>Styling a data frame<a class="headerlink" href="#Styling-a-data-frame" title
 </div>
 <div class="output_area rendered_html docutils container">
 <style type="text/css">
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-#T_4fd43_row0_col5 {
+#T_05696_row0_col5 {
   width: 10em;
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   background-color: lightgray;
 }
-#T_4fd43_row1_col5 {
+#T_05696_row1_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 90.0%, transparent 90.0%);
   background-color: lightgray;
 }
-#T_4fd43_row2_col0, #T_4fd43_row2_col1, #T_4fd43_row2_col2, #T_4fd43_row2_col3, #T_4fd43_row2_col4, #T_4fd43_row2_col6, #T_4fd43_row2_col7, #T_4fd43_row2_col8, #T_4fd43_row2_col9, #T_4fd43_row2_col10, #T_4fd43_row2_col11, #T_4fd43_row2_col12, #T_4fd43_row2_col13, #T_4fd43_row2_col14, #T_4fd43_row2_col15, #T_4fd43_row3_col0, #T_4fd43_row3_col1, #T_4fd43_row3_col2, #T_4fd43_row3_col3, #T_4fd43_row3_col4, #T_4fd43_row3_col6, #T_4fd43_row3_col7, #T_4fd43_row3_col8, #T_4fd43_row3_col9, #T_4fd43_row3_col10, #T_4fd43_row3_col11, #T_4fd43_row3_col12, #T_4fd43_row3_col13, #T_4fd43_row3_col14, #T_4fd43_row3_col15, #T_4fd43_row8_col0, #T_4fd43_row8_col1, #T_4fd43_row8_col2, #T_4fd43_row8_col3, #T_4fd43_row8_col4, #T_4fd43_row8_col6, #T_4fd43_row8_col7, #T_4fd43_row8_col8, #T_4fd43_row8_col9, #T_4fd43_row8_col10, #T_4fd43_row8_col11, #T_4fd43_row8_col12, #T_4fd43_row8_col13, #T_4fd43_row8_col14, #T_4fd43_row8_col15, #T_4fd43_row9_col0, #T_4fd43_row9_col1, #T_4fd43_row9_col2, #T_4fd43_row9_col3, #T_4fd43_row9_col4, #T_4fd43_row9_col6, #T_4fd43_row9_col7, #T_4fd43_row9_col8, #T_4fd43_row9_col9, #T_4fd43_row9_col10, #T_4fd43_row9_col11, #T_4fd43_row9_col12, #T_4fd43_row9_col13, #T_4fd43_row9_col14, #T_4fd43_row9_col15 {
+#T_05696_row2_col0, #T_05696_row2_col1, #T_05696_row2_col2, #T_05696_row2_col3, #T_05696_row2_col4, #T_05696_row2_col6, #T_05696_row2_col7, #T_05696_row2_col8, #T_05696_row2_col9, #T_05696_row2_col10, #T_05696_row2_col11, #T_05696_row2_col12, #T_05696_row2_col13, #T_05696_row2_col14, #T_05696_row2_col15, #T_05696_row3_col0, #T_05696_row3_col1, #T_05696_row3_col2, #T_05696_row3_col3, #T_05696_row3_col4, #T_05696_row3_col6, #T_05696_row3_col7, #T_05696_row3_col8, #T_05696_row3_col9, #T_05696_row3_col10, #T_05696_row3_col11, #T_05696_row3_col12, #T_05696_row3_col13, #T_05696_row3_col14, #T_05696_row3_col15, #T_05696_row8_col0, #T_05696_row8_col1, #T_05696_row8_col2, #T_05696_row8_col3, #T_05696_row8_col4, #T_05696_row8_col6, #T_05696_row8_col7, #T_05696_row8_col8, #T_05696_row8_col9, #T_05696_row8_col10, #T_05696_row8_col11, #T_05696_row8_col12, #T_05696_row8_col13, #T_05696_row8_col14, #T_05696_row8_col15, #T_05696_row9_col0, #T_05696_row9_col1, #T_05696_row9_col2, #T_05696_row9_col3, #T_05696_row9_col4, #T_05696_row9_col6, #T_05696_row9_col7, #T_05696_row9_col8, #T_05696_row9_col9, #T_05696_row9_col10, #T_05696_row9_col11, #T_05696_row9_col12, #T_05696_row9_col13, #T_05696_row9_col14, #T_05696_row9_col15 {
   background-color: #7fc97f;
 }
-#T_4fd43_row2_col5 {
+#T_05696_row2_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 92.5%, transparent 92.5%);
   background-color: #7fc97f;
 }
-#T_4fd43_row3_col5 {
+#T_05696_row3_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 87.5%, transparent 87.5%);
   background-color: #7fc97f;
 }
-#T_4fd43_row4_col5 {
+#T_05696_row4_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 62.5%, transparent 62.5%);
   background-color: lightgray;
 }
-#T_4fd43_row5_col5 {
+#T_05696_row5_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 50.0%, transparent 50.0%);
   background-color: lightgray;
 }
-#T_4fd43_row6_col5 {
+#T_05696_row6_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 82.5%, transparent 82.5%);
   background-color: lightgray;
 }
-#T_4fd43_row7_col5 {
+#T_05696_row7_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 67.5%, transparent 67.5%);
   background-color: lightgray;
 }
-#T_4fd43_row8_col5 {
+#T_05696_row8_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 90.0%, transparent 90.0%);
   background-color: #7fc97f;
 }
-#T_4fd43_row9_col5 {
+#T_05696_row9_col5 {
   width: 10em;
   background: linear-gradient(90deg, #d65f5f 75.0%, transparent 75.0%);
   background-color: #7fc97f;
 }
 </style>
-<table id="T_4fd43">
+<table id="T_05696">
   <thead>
     <tr>
       <th class="blank level0" >&nbsp;</th>
-      <th id="T_4fd43_level0_col0" class="col_heading level0 col0" >participant number</th>
-      <th id="T_4fd43_level0_col1" class="col_heading level0 col1" >gender</th>
-      <th id="T_4fd43_level0_col2" class="col_heading level0 col2" >age</th>
-      <th id="T_4fd43_level0_col3" class="col_heading level0 col3" >correct hit percentage</th>
-      <th id="T_4fd43_level0_col4" class="col_heading level0 col4" >correct reject percentage</th>
-      <th id="T_4fd43_level0_col5" class="col_heading level0 col5" >percent correct</th>
-      <th id="T_4fd43_level0_col6" class="col_heading level0 col6" >confidence when correct hit</th>
-      <th id="T_4fd43_level0_col7" class="col_heading level0 col7" >confidence when incorrect hit</th>
-      <th id="T_4fd43_level0_col8" class="col_heading level0 col8" >confidence when correct reject</th>
-      <th id="T_4fd43_level0_col9" class="col_heading level0 col9" >confidence when incorrect reject</th>
-      <th id="T_4fd43_level0_col10" class="col_heading level0 col10" >confidence when correct</th>
-      <th id="T_4fd43_level0_col11" class="col_heading level0 col11" >confidence when incorrect</th>
-      <th id="T_4fd43_level0_col12" class="col_heading level0 col12" >sci</th>
-      <th id="T_4fd43_level0_col13" class="col_heading level0 col13" >psqi</th>
-      <th id="T_4fd43_level0_col14" class="col_heading level0 col14" >ess</th>
-      <th id="T_4fd43_level0_col15" class="col_heading level0 col15" >insomnia</th>
+      <th id="T_05696_level0_col0" class="col_heading level0 col0" >participant number</th>
+      <th id="T_05696_level0_col1" class="col_heading level0 col1" >gender</th>
+      <th id="T_05696_level0_col2" class="col_heading level0 col2" >age</th>
+      <th id="T_05696_level0_col3" class="col_heading level0 col3" >correct hit percentage</th>
+      <th id="T_05696_level0_col4" class="col_heading level0 col4" >correct reject percentage</th>
+      <th id="T_05696_level0_col5" class="col_heading level0 col5" >percent correct</th>
+      <th id="T_05696_level0_col6" class="col_heading level0 col6" >confidence when correct hit</th>
+      <th id="T_05696_level0_col7" class="col_heading level0 col7" >confidence when incorrect hit</th>
+      <th id="T_05696_level0_col8" class="col_heading level0 col8" >confidence when correct reject</th>
+      <th id="T_05696_level0_col9" class="col_heading level0 col9" >confidence when incorrect reject</th>
+      <th id="T_05696_level0_col10" class="col_heading level0 col10" >confidence when correct</th>
+      <th id="T_05696_level0_col11" class="col_heading level0 col11" >confidence when incorrect</th>
+      <th id="T_05696_level0_col12" class="col_heading level0 col12" >sci</th>
+      <th id="T_05696_level0_col13" class="col_heading level0 col13" >psqi</th>
+      <th id="T_05696_level0_col14" class="col_heading level0 col14" >ess</th>
+      <th id="T_05696_level0_col15" class="col_heading level0 col15" >insomnia</th>
     </tr>
   </thead>
   <tbody>
     <tr>
-      <th id="T_4fd43_level0_row0" class="row_heading level0 row0" >0</th>
-      <td id="T_4fd43_row0_col0" class="data row0 col0" >8</td>
-      <td id="T_4fd43_row0_col1" class="data row0 col1" >f</td>
-      <td id="T_4fd43_row0_col2" class="data row0 col2" >39</td>
-      <td id="T_4fd43_row0_col3" class="data row0 col3" >65</td>
-      <td id="T_4fd43_row0_col4" class="data row0 col4" >80</td>
-      <td id="T_4fd43_row0_col5" class="data row0 col5" >72.500000</td>
-      <td id="T_4fd43_row0_col6" class="data row0 col6" >91.000000</td>
-      <td id="T_4fd43_row0_col7" class="data row0 col7" >90.000000</td>
-      <td id="T_4fd43_row0_col8" class="data row0 col8" >93.000000</td>
-      <td id="T_4fd43_row0_col9" class="data row0 col9" >83.500000</td>
-      <td id="T_4fd43_row0_col10" class="data row0 col10" >93.000000</td>
-      <td id="T_4fd43_row0_col11" class="data row0 col11" >90.000000</td>
-      <td id="T_4fd43_row0_col12" class="data row0 col12" >9</td>
-      <td id="T_4fd43_row0_col13" class="data row0 col13" >13</td>
-      <td id="T_4fd43_row0_col14" class="data row0 col14" >2</td>
-      <td id="T_4fd43_row0_col15" class="data row0 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_4fd43_level0_row1" class="row_heading level0 row1" >1</th>
-      <td id="T_4fd43_row1_col0" class="data row1 col0" >16</td>
-      <td id="T_4fd43_row1_col1" class="data row1 col1" >m</td>
-      <td id="T_4fd43_row1_col2" class="data row1 col2" >42</td>
-      <td id="T_4fd43_row1_col3" class="data row1 col3" >90</td>
-      <td id="T_4fd43_row1_col4" class="data row1 col4" >90</td>
-      <td id="T_4fd43_row1_col5" class="data row1 col5" >90.000000</td>
-      <td id="T_4fd43_row1_col6" class="data row1 col6" >75.500000</td>
-      <td id="T_4fd43_row1_col7" class="data row1 col7" >55.500000</td>
-      <td id="T_4fd43_row1_col8" class="data row1 col8" >70.500000</td>
-      <td id="T_4fd43_row1_col9" class="data row1 col9" >50.000000</td>
-      <td id="T_4fd43_row1_col10" class="data row1 col10" >75.000000</td>
-      <td id="T_4fd43_row1_col11" class="data row1 col11" >50.000000</td>
-      <td id="T_4fd43_row1_col12" class="data row1 col12" >4</td>
-      <td id="T_4fd43_row1_col13" class="data row1 col13" >11</td>
-      <td id="T_4fd43_row1_col14" class="data row1 col14" >7</td>
-      <td id="T_4fd43_row1_col15" class="data row1 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_4fd43_level0_row2" class="row_heading level0 row2" >2</th>
-      <td id="T_4fd43_row2_col0" class="data row2 col0" >18</td>
-      <td id="T_4fd43_row2_col1" class="data row2 col1" >f</td>
-      <td id="T_4fd43_row2_col2" class="data row2 col2" >31</td>
-      <td id="T_4fd43_row2_col3" class="data row2 col3" >90</td>
-      <td id="T_4fd43_row2_col4" class="data row2 col4" >95</td>
-      <td id="T_4fd43_row2_col5" class="data row2 col5" >92.500000</td>
-      <td id="T_4fd43_row2_col6" class="data row2 col6" >89.500000</td>
-      <td id="T_4fd43_row2_col7" class="data row2 col7" >90.000000</td>
-      <td id="T_4fd43_row2_col8" class="data row2 col8" >86.000000</td>
-      <td id="T_4fd43_row2_col9" class="data row2 col9" >81.000000</td>
-      <td id="T_4fd43_row2_col10" class="data row2 col10" >89.000000</td>
-      <td id="T_4fd43_row2_col11" class="data row2 col11" >88.000000</td>
-      <td id="T_4fd43_row2_col12" class="data row2 col12" >10</td>
-      <td id="T_4fd43_row2_col13" class="data row2 col13" >9</td>
-      <td id="T_4fd43_row2_col14" class="data row2 col14" >3</td>
-      <td id="T_4fd43_row2_col15" class="data row2 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_4fd43_level0_row3" class="row_heading level0 row3" >3</th>
-      <td id="T_4fd43_row3_col0" class="data row3 col0" >22</td>
-      <td id="T_4fd43_row3_col1" class="data row3 col1" >f</td>
-      <td id="T_4fd43_row3_col2" class="data row3 col2" >35</td>
-      <td id="T_4fd43_row3_col3" class="data row3 col3" >100</td>
-      <td id="T_4fd43_row3_col4" class="data row3 col4" >75</td>
-      <td id="T_4fd43_row3_col5" class="data row3 col5" >87.500000</td>
-      <td id="T_4fd43_row3_col6" class="data row3 col6" >89.500000</td>
-      <td id="T_4fd43_row3_col7" class="data row3 col7" >nan</td>
-      <td id="T_4fd43_row3_col8" class="data row3 col8" >71.000000</td>
-      <td id="T_4fd43_row3_col9" class="data row3 col9" >80.000000</td>
-      <td id="T_4fd43_row3_col10" class="data row3 col10" >88.000000</td>
-      <td id="T_4fd43_row3_col11" class="data row3 col11" >80.000000</td>
-      <td id="T_4fd43_row3_col12" class="data row3 col12" >13</td>
-      <td id="T_4fd43_row3_col13" class="data row3 col13" >8</td>
-      <td id="T_4fd43_row3_col14" class="data row3 col14" >20</td>
-      <td id="T_4fd43_row3_col15" class="data row3 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_4fd43_level0_row4" class="row_heading level0 row4" >4</th>
-      <td id="T_4fd43_row4_col0" class="data row4 col0" >27</td>
-      <td id="T_4fd43_row4_col1" class="data row4 col1" >f</td>
-      <td id="T_4fd43_row4_col2" class="data row4 col2" >74</td>
-      <td id="T_4fd43_row4_col3" class="data row4 col3" >60</td>
-      <td id="T_4fd43_row4_col4" class="data row4 col4" >65</td>
-      <td id="T_4fd43_row4_col5" class="data row4 col5" >62.500000</td>
-      <td id="T_4fd43_row4_col6" class="data row4 col6" >68.500000</td>
-      <td id="T_4fd43_row4_col7" class="data row4 col7" >49.000000</td>
-      <td id="T_4fd43_row4_col8" class="data row4 col8" >61.000000</td>
-      <td id="T_4fd43_row4_col9" class="data row4 col9" >49.000000</td>
-      <td id="T_4fd43_row4_col10" class="data row4 col10" >65.000000</td>
-      <td id="T_4fd43_row4_col11" class="data row4 col11" >49.000000</td>
-      <td id="T_4fd43_row4_col12" class="data row4 col12" >13</td>
-      <td id="T_4fd43_row4_col13" class="data row4 col13" >9</td>
-      <td id="T_4fd43_row4_col14" class="data row4 col14" >12</td>
-      <td id="T_4fd43_row4_col15" class="data row4 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_4fd43_level0_row5" class="row_heading level0 row5" >5</th>
-      <td id="T_4fd43_row5_col0" class="data row5 col0" >28</td>
-      <td id="T_4fd43_row5_col1" class="data row5 col1" >f</td>
-      <td id="T_4fd43_row5_col2" class="data row5 col2" >61</td>
-      <td id="T_4fd43_row5_col3" class="data row5 col3" >80</td>
-      <td id="T_4fd43_row5_col4" class="data row5 col4" >20</td>
-      <td id="T_4fd43_row5_col5" class="data row5 col5" >50.000000</td>
-      <td id="T_4fd43_row5_col6" class="data row5 col6" >71.000000</td>
-      <td id="T_4fd43_row5_col7" class="data row5 col7" >63.000000</td>
-      <td id="T_4fd43_row5_col8" class="data row5 col8" >31.000000</td>
-      <td id="T_4fd43_row5_col9" class="data row5 col9" >72.500000</td>
-      <td id="T_4fd43_row5_col10" class="data row5 col10" >64.500000</td>
-      <td id="T_4fd43_row5_col11" class="data row5 col11" >70.500000</td>
-      <td id="T_4fd43_row5_col12" class="data row5 col12" >15</td>
-      <td id="T_4fd43_row5_col13" class="data row5 col13" >14</td>
-      <td id="T_4fd43_row5_col14" class="data row5 col14" >2</td>
-      <td id="T_4fd43_row5_col15" class="data row5 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_4fd43_level0_row6" class="row_heading level0 row6" >6</th>
-      <td id="T_4fd43_row6_col0" class="data row6 col0" >30</td>
-      <td id="T_4fd43_row6_col1" class="data row6 col1" >m</td>
-      <td id="T_4fd43_row6_col2" class="data row6 col2" >32</td>
-      <td id="T_4fd43_row6_col3" class="data row6 col3" >90</td>
-      <td id="T_4fd43_row6_col4" class="data row6 col4" >75</td>
-      <td id="T_4fd43_row6_col5" class="data row6 col5" >82.500000</td>
-      <td id="T_4fd43_row6_col6" class="data row6 col6" >67.000000</td>
-      <td id="T_4fd43_row6_col7" class="data row6 col7" >56.500000</td>
-      <td id="T_4fd43_row6_col8" class="data row6 col8" >66.000000</td>
-      <td id="T_4fd43_row6_col9" class="data row6 col9" >65.000000</td>
-      <td id="T_4fd43_row6_col10" class="data row6 col10" >66.000000</td>
-      <td id="T_4fd43_row6_col11" class="data row6 col11" >64.000000</td>
-      <td id="T_4fd43_row6_col12" class="data row6 col12" >16</td>
-      <td id="T_4fd43_row6_col13" class="data row6 col13" >9</td>
-      <td id="T_4fd43_row6_col14" class="data row6 col14" >3</td>
-      <td id="T_4fd43_row6_col15" class="data row6 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_4fd43_level0_row7" class="row_heading level0 row7" >7</th>
-      <td id="T_4fd43_row7_col0" class="data row7 col0" >33</td>
-      <td id="T_4fd43_row7_col1" class="data row7 col1" >m</td>
-      <td id="T_4fd43_row7_col2" class="data row7 col2" >62</td>
-      <td id="T_4fd43_row7_col3" class="data row7 col3" >45</td>
-      <td id="T_4fd43_row7_col4" class="data row7 col4" >90</td>
-      <td id="T_4fd43_row7_col5" class="data row7 col5" >67.500000</td>
-      <td id="T_4fd43_row7_col6" class="data row7 col6" >54.000000</td>
-      <td id="T_4fd43_row7_col7" class="data row7 col7" >37.000000</td>
-      <td id="T_4fd43_row7_col8" class="data row7 col8" >65.000000</td>
-      <td id="T_4fd43_row7_col9" class="data row7 col9" >81.500000</td>
-      <td id="T_4fd43_row7_col10" class="data row7 col10" >62.000000</td>
-      <td id="T_4fd43_row7_col11" class="data row7 col11" >61.000000</td>
-      <td id="T_4fd43_row7_col12" class="data row7 col12" >14</td>
-      <td id="T_4fd43_row7_col13" class="data row7 col13" >9</td>
-      <td id="T_4fd43_row7_col14" class="data row7 col14" >9</td>
-      <td id="T_4fd43_row7_col15" class="data row7 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_4fd43_level0_row8" class="row_heading level0 row8" >8</th>
-      <td id="T_4fd43_row8_col0" class="data row8 col0" >34</td>
-      <td id="T_4fd43_row8_col1" class="data row8 col1" >f</td>
-      <td id="T_4fd43_row8_col2" class="data row8 col2" >33</td>
-      <td id="T_4fd43_row8_col3" class="data row8 col3" >80</td>
-      <td id="T_4fd43_row8_col4" class="data row8 col4" >100</td>
-      <td id="T_4fd43_row8_col5" class="data row8 col5" >90.000000</td>
-      <td id="T_4fd43_row8_col6" class="data row8 col6" >70.500000</td>
-      <td id="T_4fd43_row8_col7" class="data row8 col7" >76.500000</td>
-      <td id="T_4fd43_row8_col8" class="data row8 col8" >64.500000</td>
-      <td id="T_4fd43_row8_col9" class="data row8 col9" >nan</td>
-      <td id="T_4fd43_row8_col10" class="data row8 col10" >68.000000</td>
-      <td id="T_4fd43_row8_col11" class="data row8 col11" >76.500000</td>
-      <td id="T_4fd43_row8_col12" class="data row8 col12" >14</td>
-      <td id="T_4fd43_row8_col13" class="data row8 col13" >12</td>
-      <td id="T_4fd43_row8_col14" class="data row8 col14" >10</td>
-      <td id="T_4fd43_row8_col15" class="data row8 col15" >True</td>
-    </tr>
-    <tr>
-      <th id="T_4fd43_level0_row9" class="row_heading level0 row9" >9</th>
-      <td id="T_4fd43_row9_col0" class="data row9 col0" >35</td>
-      <td id="T_4fd43_row9_col1" class="data row9 col1" >f</td>
-      <td id="T_4fd43_row9_col2" class="data row9 col2" >53</td>
-      <td id="T_4fd43_row9_col3" class="data row9 col3" >100</td>
-      <td id="T_4fd43_row9_col4" class="data row9 col4" >50</td>
-      <td id="T_4fd43_row9_col5" class="data row9 col5" >75.000000</td>
-      <td id="T_4fd43_row9_col6" class="data row9 col6" >74.500000</td>
-      <td id="T_4fd43_row9_col7" class="data row9 col7" >nan</td>
-      <td id="T_4fd43_row9_col8" class="data row9 col8" >60.500000</td>
-      <td id="T_4fd43_row9_col9" class="data row9 col9" >65.000000</td>
-      <td id="T_4fd43_row9_col10" class="data row9 col10" >71.000000</td>
-      <td id="T_4fd43_row9_col11" class="data row9 col11" >65.000000</td>
-      <td id="T_4fd43_row9_col12" class="data row9 col12" >14</td>
-      <td id="T_4fd43_row9_col13" class="data row9 col13" >8</td>
-      <td id="T_4fd43_row9_col14" class="data row9 col14" >7</td>
-      <td id="T_4fd43_row9_col15" class="data row9 col15" >True</td>
+      <th id="T_05696_level0_row0" class="row_heading level0 row0" >0</th>
+      <td id="T_05696_row0_col0" class="data row0 col0" >8</td>
+      <td id="T_05696_row0_col1" class="data row0 col1" >f</td>
+      <td id="T_05696_row0_col2" class="data row0 col2" >39</td>
+      <td id="T_05696_row0_col3" class="data row0 col3" >65</td>
+      <td id="T_05696_row0_col4" class="data row0 col4" >80</td>
+      <td id="T_05696_row0_col5" class="data row0 col5" >72.500000</td>
+      <td id="T_05696_row0_col6" class="data row0 col6" >91.000000</td>
+      <td id="T_05696_row0_col7" class="data row0 col7" >90.000000</td>
+      <td id="T_05696_row0_col8" class="data row0 col8" >93.000000</td>
+      <td id="T_05696_row0_col9" class="data row0 col9" >83.500000</td>
+      <td id="T_05696_row0_col10" class="data row0 col10" >93.000000</td>
+      <td id="T_05696_row0_col11" class="data row0 col11" >90.000000</td>
+      <td id="T_05696_row0_col12" class="data row0 col12" >9</td>
+      <td id="T_05696_row0_col13" class="data row0 col13" >13</td>
+      <td id="T_05696_row0_col14" class="data row0 col14" >2</td>
+      <td id="T_05696_row0_col15" class="data row0 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_05696_level0_row1" class="row_heading level0 row1" >1</th>
+      <td id="T_05696_row1_col0" class="data row1 col0" >16</td>
+      <td id="T_05696_row1_col1" class="data row1 col1" >m</td>
+      <td id="T_05696_row1_col2" class="data row1 col2" >42</td>
+      <td id="T_05696_row1_col3" class="data row1 col3" >90</td>
+      <td id="T_05696_row1_col4" class="data row1 col4" >90</td>
+      <td id="T_05696_row1_col5" class="data row1 col5" >90.000000</td>
+      <td id="T_05696_row1_col6" class="data row1 col6" >75.500000</td>
+      <td id="T_05696_row1_col7" class="data row1 col7" >55.500000</td>
+      <td id="T_05696_row1_col8" class="data row1 col8" >70.500000</td>
+      <td id="T_05696_row1_col9" class="data row1 col9" >50.000000</td>
+      <td id="T_05696_row1_col10" class="data row1 col10" >75.000000</td>
+      <td id="T_05696_row1_col11" class="data row1 col11" >50.000000</td>
+      <td id="T_05696_row1_col12" class="data row1 col12" >4</td>
+      <td id="T_05696_row1_col13" class="data row1 col13" >11</td>
+      <td id="T_05696_row1_col14" class="data row1 col14" >7</td>
+      <td id="T_05696_row1_col15" class="data row1 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_05696_level0_row2" class="row_heading level0 row2" >2</th>
+      <td id="T_05696_row2_col0" class="data row2 col0" >18</td>
+      <td id="T_05696_row2_col1" class="data row2 col1" >f</td>
+      <td id="T_05696_row2_col2" class="data row2 col2" >31</td>
+      <td id="T_05696_row2_col3" class="data row2 col3" >90</td>
+      <td id="T_05696_row2_col4" class="data row2 col4" >95</td>
+      <td id="T_05696_row2_col5" class="data row2 col5" >92.500000</td>
+      <td id="T_05696_row2_col6" class="data row2 col6" >89.500000</td>
+      <td id="T_05696_row2_col7" class="data row2 col7" >90.000000</td>
+      <td id="T_05696_row2_col8" class="data row2 col8" >86.000000</td>
+      <td id="T_05696_row2_col9" class="data row2 col9" >81.000000</td>
+      <td id="T_05696_row2_col10" class="data row2 col10" >89.000000</td>
+      <td id="T_05696_row2_col11" class="data row2 col11" >88.000000</td>
+      <td id="T_05696_row2_col12" class="data row2 col12" >10</td>
+      <td id="T_05696_row2_col13" class="data row2 col13" >9</td>
+      <td id="T_05696_row2_col14" class="data row2 col14" >3</td>
+      <td id="T_05696_row2_col15" class="data row2 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_05696_level0_row3" class="row_heading level0 row3" >3</th>
+      <td id="T_05696_row3_col0" class="data row3 col0" >22</td>
+      <td id="T_05696_row3_col1" class="data row3 col1" >f</td>
+      <td id="T_05696_row3_col2" class="data row3 col2" >35</td>
+      <td id="T_05696_row3_col3" class="data row3 col3" >100</td>
+      <td id="T_05696_row3_col4" class="data row3 col4" >75</td>
+      <td id="T_05696_row3_col5" class="data row3 col5" >87.500000</td>
+      <td id="T_05696_row3_col6" class="data row3 col6" >89.500000</td>
+      <td id="T_05696_row3_col7" class="data row3 col7" >nan</td>
+      <td id="T_05696_row3_col8" class="data row3 col8" >71.000000</td>
+      <td id="T_05696_row3_col9" class="data row3 col9" >80.000000</td>
+      <td id="T_05696_row3_col10" class="data row3 col10" >88.000000</td>
+      <td id="T_05696_row3_col11" class="data row3 col11" >80.000000</td>
+      <td id="T_05696_row3_col12" class="data row3 col12" >13</td>
+      <td id="T_05696_row3_col13" class="data row3 col13" >8</td>
+      <td id="T_05696_row3_col14" class="data row3 col14" >20</td>
+      <td id="T_05696_row3_col15" class="data row3 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_05696_level0_row4" class="row_heading level0 row4" >4</th>
+      <td id="T_05696_row4_col0" class="data row4 col0" >27</td>
+      <td id="T_05696_row4_col1" class="data row4 col1" >f</td>
+      <td id="T_05696_row4_col2" class="data row4 col2" >74</td>
+      <td id="T_05696_row4_col3" class="data row4 col3" >60</td>
+      <td id="T_05696_row4_col4" class="data row4 col4" >65</td>
+      <td id="T_05696_row4_col5" class="data row4 col5" >62.500000</td>
+      <td id="T_05696_row4_col6" class="data row4 col6" >68.500000</td>
+      <td id="T_05696_row4_col7" class="data row4 col7" >49.000000</td>
+      <td id="T_05696_row4_col8" class="data row4 col8" >61.000000</td>
+      <td id="T_05696_row4_col9" class="data row4 col9" >49.000000</td>
+      <td id="T_05696_row4_col10" class="data row4 col10" >65.000000</td>
+      <td id="T_05696_row4_col11" class="data row4 col11" >49.000000</td>
+      <td id="T_05696_row4_col12" class="data row4 col12" >13</td>
+      <td id="T_05696_row4_col13" class="data row4 col13" >9</td>
+      <td id="T_05696_row4_col14" class="data row4 col14" >12</td>
+      <td id="T_05696_row4_col15" class="data row4 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_05696_level0_row5" class="row_heading level0 row5" >5</th>
+      <td id="T_05696_row5_col0" class="data row5 col0" >28</td>
+      <td id="T_05696_row5_col1" class="data row5 col1" >f</td>
+      <td id="T_05696_row5_col2" class="data row5 col2" >61</td>
+      <td id="T_05696_row5_col3" class="data row5 col3" >80</td>
+      <td id="T_05696_row5_col4" class="data row5 col4" >20</td>
+      <td id="T_05696_row5_col5" class="data row5 col5" >50.000000</td>
+      <td id="T_05696_row5_col6" class="data row5 col6" >71.000000</td>
+      <td id="T_05696_row5_col7" class="data row5 col7" >63.000000</td>
+      <td id="T_05696_row5_col8" class="data row5 col8" >31.000000</td>
+      <td id="T_05696_row5_col9" class="data row5 col9" >72.500000</td>
+      <td id="T_05696_row5_col10" class="data row5 col10" >64.500000</td>
+      <td id="T_05696_row5_col11" class="data row5 col11" >70.500000</td>
+      <td id="T_05696_row5_col12" class="data row5 col12" >15</td>
+      <td id="T_05696_row5_col13" class="data row5 col13" >14</td>
+      <td id="T_05696_row5_col14" class="data row5 col14" >2</td>
+      <td id="T_05696_row5_col15" class="data row5 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_05696_level0_row6" class="row_heading level0 row6" >6</th>
+      <td id="T_05696_row6_col0" class="data row6 col0" >30</td>
+      <td id="T_05696_row6_col1" class="data row6 col1" >m</td>
+      <td id="T_05696_row6_col2" class="data row6 col2" >32</td>
+      <td id="T_05696_row6_col3" class="data row6 col3" >90</td>
+      <td id="T_05696_row6_col4" class="data row6 col4" >75</td>
+      <td id="T_05696_row6_col5" class="data row6 col5" >82.500000</td>
+      <td id="T_05696_row6_col6" class="data row6 col6" >67.000000</td>
+      <td id="T_05696_row6_col7" class="data row6 col7" >56.500000</td>
+      <td id="T_05696_row6_col8" class="data row6 col8" >66.000000</td>
+      <td id="T_05696_row6_col9" class="data row6 col9" >65.000000</td>
+      <td id="T_05696_row6_col10" class="data row6 col10" >66.000000</td>
+      <td id="T_05696_row6_col11" class="data row6 col11" >64.000000</td>
+      <td id="T_05696_row6_col12" class="data row6 col12" >16</td>
+      <td id="T_05696_row6_col13" class="data row6 col13" >9</td>
+      <td id="T_05696_row6_col14" class="data row6 col14" >3</td>
+      <td id="T_05696_row6_col15" class="data row6 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_05696_level0_row7" class="row_heading level0 row7" >7</th>
+      <td id="T_05696_row7_col0" class="data row7 col0" >33</td>
+      <td id="T_05696_row7_col1" class="data row7 col1" >m</td>
+      <td id="T_05696_row7_col2" class="data row7 col2" >62</td>
+      <td id="T_05696_row7_col3" class="data row7 col3" >45</td>
+      <td id="T_05696_row7_col4" class="data row7 col4" >90</td>
+      <td id="T_05696_row7_col5" class="data row7 col5" >67.500000</td>
+      <td id="T_05696_row7_col6" class="data row7 col6" >54.000000</td>
+      <td id="T_05696_row7_col7" class="data row7 col7" >37.000000</td>
+      <td id="T_05696_row7_col8" class="data row7 col8" >65.000000</td>
+      <td id="T_05696_row7_col9" class="data row7 col9" >81.500000</td>
+      <td id="T_05696_row7_col10" class="data row7 col10" >62.000000</td>
+      <td id="T_05696_row7_col11" class="data row7 col11" >61.000000</td>
+      <td id="T_05696_row7_col12" class="data row7 col12" >14</td>
+      <td id="T_05696_row7_col13" class="data row7 col13" >9</td>
+      <td id="T_05696_row7_col14" class="data row7 col14" >9</td>
+      <td id="T_05696_row7_col15" class="data row7 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_05696_level0_row8" class="row_heading level0 row8" >8</th>
+      <td id="T_05696_row8_col0" class="data row8 col0" >34</td>
+      <td id="T_05696_row8_col1" class="data row8 col1" >f</td>
+      <td id="T_05696_row8_col2" class="data row8 col2" >33</td>
+      <td id="T_05696_row8_col3" class="data row8 col3" >80</td>
+      <td id="T_05696_row8_col4" class="data row8 col4" >100</td>
+      <td id="T_05696_row8_col5" class="data row8 col5" >90.000000</td>
+      <td id="T_05696_row8_col6" class="data row8 col6" >70.500000</td>
+      <td id="T_05696_row8_col7" class="data row8 col7" >76.500000</td>
+      <td id="T_05696_row8_col8" class="data row8 col8" >64.500000</td>
+      <td id="T_05696_row8_col9" class="data row8 col9" >nan</td>
+      <td id="T_05696_row8_col10" class="data row8 col10" >68.000000</td>
+      <td id="T_05696_row8_col11" class="data row8 col11" >76.500000</td>
+      <td id="T_05696_row8_col12" class="data row8 col12" >14</td>
+      <td id="T_05696_row8_col13" class="data row8 col13" >12</td>
+      <td id="T_05696_row8_col14" class="data row8 col14" >10</td>
+      <td id="T_05696_row8_col15" class="data row8 col15" >True</td>
+    </tr>
+    <tr>
+      <th id="T_05696_level0_row9" class="row_heading level0 row9" >9</th>
+      <td id="T_05696_row9_col0" class="data row9 col0" >35</td>
+      <td id="T_05696_row9_col1" class="data row9 col1" >f</td>
+      <td id="T_05696_row9_col2" class="data row9 col2" >53</td>
+      <td id="T_05696_row9_col3" class="data row9 col3" >100</td>
+      <td id="T_05696_row9_col4" class="data row9 col4" >50</td>
+      <td id="T_05696_row9_col5" class="data row9 col5" >75.000000</td>
+      <td id="T_05696_row9_col6" class="data row9 col6" >74.500000</td>
+      <td id="T_05696_row9_col7" class="data row9 col7" >nan</td>
+      <td id="T_05696_row9_col8" class="data row9 col8" >60.500000</td>
+      <td id="T_05696_row9_col9" class="data row9 col9" >65.000000</td>
+      <td id="T_05696_row9_col10" class="data row9 col10" >71.000000</td>
+      <td id="T_05696_row9_col11" class="data row9 col11" >65.000000</td>
+      <td id="T_05696_row9_col12" class="data row9 col12" >14</td>
+      <td id="T_05696_row9_col13" class="data row9 col13" >8</td>
+      <td id="T_05696_row9_col14" class="data row9 col14" >7</td>
+      <td id="T_05696_row9_col15" class="data row9 col15" >True</td>
     </tr>
   </tbody>
 </table></div>
@@ -3069,7 +3069,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x15759ddd0> 
+   <jinja2.runtime.BlockReference object at 0x14d6ffad0> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l16_intro_to_pandas.ipynb b/2024/lessons/l16_intro_to_pandas.ipynb
index 4d8347f0..a4d93f3a 100644
--- a/2024/lessons/l16_intro_to_pandas.ipynb
+++ b/2024/lessons/l16_intro_to_pandas.ipynb
@@ -1737,7 +1737,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "This tells use who is an insomniac. We can simply add this back to the data frame."
+    "This tells use who is an insomniac. We can simply add this column to the data frame using the `assign()` method. The `assign()` method takes a set of keyword arguments where the name of the keyword is the column heading and the argument is a list (or tuple, NumPy array, etc.) that populates the column."
    ]
   },
   {
@@ -1928,7 +1928,7 @@
    ],
    "source": [
     "# Add the column to the DataFrame\n",
-    "df['insomnia'] = df['sci'] <= 16\n",
+    "df = df.assign(insomnia=df['sci'] <= 16)\n",
     "\n",
     "# Take a look\n",
     "df.head()"
@@ -2371,231 +2371,231 @@
      "data": {
       "text/html": [
        "<style type=\"text/css\">\n",
-       "#T_fc6e8_row0_col0, #T_fc6e8_row0_col1, #T_fc6e8_row0_col2, #T_fc6e8_row0_col3, #T_fc6e8_row0_col4, #T_fc6e8_row0_col5, #T_fc6e8_row0_col6, #T_fc6e8_row0_col7, #T_fc6e8_row0_col8, #T_fc6e8_row0_col9, #T_fc6e8_row0_col10, #T_fc6e8_row0_col11, #T_fc6e8_row0_col12, #T_fc6e8_row0_col13, #T_fc6e8_row0_col14, #T_fc6e8_row0_col15, #T_fc6e8_row1_col0, #T_fc6e8_row1_col1, #T_fc6e8_row1_col2, #T_fc6e8_row1_col3, #T_fc6e8_row1_col4, #T_fc6e8_row1_col5, #T_fc6e8_row1_col6, #T_fc6e8_row1_col7, #T_fc6e8_row1_col8, #T_fc6e8_row1_col9, #T_fc6e8_row1_col10, #T_fc6e8_row1_col11, #T_fc6e8_row1_col12, #T_fc6e8_row1_col13, #T_fc6e8_row1_col14, #T_fc6e8_row1_col15, #T_fc6e8_row4_col0, #T_fc6e8_row4_col1, #T_fc6e8_row4_col2, #T_fc6e8_row4_col3, #T_fc6e8_row4_col4, #T_fc6e8_row4_col5, #T_fc6e8_row4_col6, #T_fc6e8_row4_col7, #T_fc6e8_row4_col8, #T_fc6e8_row4_col9, #T_fc6e8_row4_col10, #T_fc6e8_row4_col11, #T_fc6e8_row4_col12, #T_fc6e8_row4_col13, #T_fc6e8_row4_col14, #T_fc6e8_row4_col15, #T_fc6e8_row5_col0, #T_fc6e8_row5_col1, #T_fc6e8_row5_col2, #T_fc6e8_row5_col3, #T_fc6e8_row5_col4, #T_fc6e8_row5_col5, #T_fc6e8_row5_col6, #T_fc6e8_row5_col7, #T_fc6e8_row5_col8, #T_fc6e8_row5_col9, #T_fc6e8_row5_col10, #T_fc6e8_row5_col11, #T_fc6e8_row5_col12, #T_fc6e8_row5_col13, #T_fc6e8_row5_col14, #T_fc6e8_row5_col15, #T_fc6e8_row6_col0, #T_fc6e8_row6_col1, #T_fc6e8_row6_col2, #T_fc6e8_row6_col3, #T_fc6e8_row6_col4, #T_fc6e8_row6_col5, #T_fc6e8_row6_col6, #T_fc6e8_row6_col7, #T_fc6e8_row6_col8, #T_fc6e8_row6_col9, #T_fc6e8_row6_col10, #T_fc6e8_row6_col11, #T_fc6e8_row6_col12, #T_fc6e8_row6_col13, #T_fc6e8_row6_col14, #T_fc6e8_row6_col15, #T_fc6e8_row7_col0, #T_fc6e8_row7_col1, #T_fc6e8_row7_col2, #T_fc6e8_row7_col3, #T_fc6e8_row7_col4, #T_fc6e8_row7_col5, #T_fc6e8_row7_col6, #T_fc6e8_row7_col7, #T_fc6e8_row7_col8, #T_fc6e8_row7_col9, #T_fc6e8_row7_col10, #T_fc6e8_row7_col11, #T_fc6e8_row7_col12, #T_fc6e8_row7_col13, #T_fc6e8_row7_col14, #T_fc6e8_row7_col15 {\n",
+       "#T_045de_row0_col0, #T_045de_row0_col1, #T_045de_row0_col2, #T_045de_row0_col3, #T_045de_row0_col4, #T_045de_row0_col5, #T_045de_row0_col6, #T_045de_row0_col7, #T_045de_row0_col8, #T_045de_row0_col9, #T_045de_row0_col10, #T_045de_row0_col11, #T_045de_row0_col12, #T_045de_row0_col13, #T_045de_row0_col14, #T_045de_row0_col15, #T_045de_row1_col0, #T_045de_row1_col1, #T_045de_row1_col2, #T_045de_row1_col3, #T_045de_row1_col4, #T_045de_row1_col5, #T_045de_row1_col6, #T_045de_row1_col7, #T_045de_row1_col8, #T_045de_row1_col9, #T_045de_row1_col10, #T_045de_row1_col11, #T_045de_row1_col12, #T_045de_row1_col13, #T_045de_row1_col14, #T_045de_row1_col15, #T_045de_row4_col0, #T_045de_row4_col1, #T_045de_row4_col2, #T_045de_row4_col3, #T_045de_row4_col4, #T_045de_row4_col5, #T_045de_row4_col6, #T_045de_row4_col7, #T_045de_row4_col8, #T_045de_row4_col9, #T_045de_row4_col10, #T_045de_row4_col11, #T_045de_row4_col12, #T_045de_row4_col13, #T_045de_row4_col14, #T_045de_row4_col15, #T_045de_row5_col0, #T_045de_row5_col1, #T_045de_row5_col2, #T_045de_row5_col3, #T_045de_row5_col4, #T_045de_row5_col5, #T_045de_row5_col6, #T_045de_row5_col7, #T_045de_row5_col8, #T_045de_row5_col9, #T_045de_row5_col10, #T_045de_row5_col11, #T_045de_row5_col12, #T_045de_row5_col13, #T_045de_row5_col14, #T_045de_row5_col15, #T_045de_row6_col0, #T_045de_row6_col1, #T_045de_row6_col2, #T_045de_row6_col3, #T_045de_row6_col4, #T_045de_row6_col5, #T_045de_row6_col6, #T_045de_row6_col7, #T_045de_row6_col8, #T_045de_row6_col9, #T_045de_row6_col10, #T_045de_row6_col11, #T_045de_row6_col12, #T_045de_row6_col13, #T_045de_row6_col14, #T_045de_row6_col15, #T_045de_row7_col0, #T_045de_row7_col1, #T_045de_row7_col2, #T_045de_row7_col3, #T_045de_row7_col4, #T_045de_row7_col5, #T_045de_row7_col6, #T_045de_row7_col7, #T_045de_row7_col8, #T_045de_row7_col9, #T_045de_row7_col10, #T_045de_row7_col11, #T_045de_row7_col12, #T_045de_row7_col13, #T_045de_row7_col14, #T_045de_row7_col15 {\n",
        "  background-color: lightgray;\n",
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-       "#T_fc6e8_row2_col0, #T_fc6e8_row2_col1, #T_fc6e8_row2_col2, #T_fc6e8_row2_col3, #T_fc6e8_row2_col4, #T_fc6e8_row2_col5, #T_fc6e8_row2_col6, #T_fc6e8_row2_col7, #T_fc6e8_row2_col8, #T_fc6e8_row2_col9, #T_fc6e8_row2_col10, #T_fc6e8_row2_col11, #T_fc6e8_row2_col12, #T_fc6e8_row2_col13, #T_fc6e8_row2_col14, #T_fc6e8_row2_col15, #T_fc6e8_row3_col0, #T_fc6e8_row3_col1, #T_fc6e8_row3_col2, #T_fc6e8_row3_col3, #T_fc6e8_row3_col4, #T_fc6e8_row3_col5, #T_fc6e8_row3_col6, #T_fc6e8_row3_col7, #T_fc6e8_row3_col8, #T_fc6e8_row3_col9, #T_fc6e8_row3_col10, #T_fc6e8_row3_col11, #T_fc6e8_row3_col12, #T_fc6e8_row3_col13, #T_fc6e8_row3_col14, #T_fc6e8_row3_col15, #T_fc6e8_row8_col0, #T_fc6e8_row8_col1, #T_fc6e8_row8_col2, #T_fc6e8_row8_col3, #T_fc6e8_row8_col4, #T_fc6e8_row8_col5, #T_fc6e8_row8_col6, #T_fc6e8_row8_col7, #T_fc6e8_row8_col8, #T_fc6e8_row8_col9, #T_fc6e8_row8_col10, #T_fc6e8_row8_col11, #T_fc6e8_row8_col12, #T_fc6e8_row8_col13, #T_fc6e8_row8_col14, #T_fc6e8_row8_col15, #T_fc6e8_row9_col0, #T_fc6e8_row9_col1, #T_fc6e8_row9_col2, #T_fc6e8_row9_col3, #T_fc6e8_row9_col4, #T_fc6e8_row9_col5, #T_fc6e8_row9_col6, #T_fc6e8_row9_col7, #T_fc6e8_row9_col8, #T_fc6e8_row9_col9, #T_fc6e8_row9_col10, #T_fc6e8_row9_col11, #T_fc6e8_row9_col12, #T_fc6e8_row9_col13, #T_fc6e8_row9_col14, #T_fc6e8_row9_col15 {\n",
+       "#T_045de_row2_col0, #T_045de_row2_col1, #T_045de_row2_col2, #T_045de_row2_col3, #T_045de_row2_col4, #T_045de_row2_col5, #T_045de_row2_col6, #T_045de_row2_col7, #T_045de_row2_col8, #T_045de_row2_col9, #T_045de_row2_col10, #T_045de_row2_col11, #T_045de_row2_col12, #T_045de_row2_col13, #T_045de_row2_col14, #T_045de_row2_col15, #T_045de_row3_col0, #T_045de_row3_col1, #T_045de_row3_col2, #T_045de_row3_col3, #T_045de_row3_col4, #T_045de_row3_col5, #T_045de_row3_col6, #T_045de_row3_col7, #T_045de_row3_col8, #T_045de_row3_col9, #T_045de_row3_col10, #T_045de_row3_col11, #T_045de_row3_col12, #T_045de_row3_col13, #T_045de_row3_col14, #T_045de_row3_col15, #T_045de_row8_col0, #T_045de_row8_col1, #T_045de_row8_col2, #T_045de_row8_col3, #T_045de_row8_col4, #T_045de_row8_col5, #T_045de_row8_col6, #T_045de_row8_col7, #T_045de_row8_col8, #T_045de_row8_col9, #T_045de_row8_col10, #T_045de_row8_col11, #T_045de_row8_col12, #T_045de_row8_col13, #T_045de_row8_col14, #T_045de_row8_col15, #T_045de_row9_col0, #T_045de_row9_col1, #T_045de_row9_col2, #T_045de_row9_col3, #T_045de_row9_col4, #T_045de_row9_col5, #T_045de_row9_col6, #T_045de_row9_col7, #T_045de_row9_col8, #T_045de_row9_col9, #T_045de_row9_col10, #T_045de_row9_col11, #T_045de_row9_col12, #T_045de_row9_col13, #T_045de_row9_col14, #T_045de_row9_col15 {\n",
        "  background-color: #7fc97f;\n",
        "}\n",
        "</style>\n",
-       "<table id=\"T_fc6e8\">\n",
+       "<table id=\"T_045de\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_fc6e8_level0_col0\" class=\"col_heading level0 col0\" >participant number</th>\n",
-       "      <th id=\"T_fc6e8_level0_col1\" class=\"col_heading level0 col1\" >gender</th>\n",
-       "      <th id=\"T_fc6e8_level0_col2\" class=\"col_heading level0 col2\" >age</th>\n",
-       "      <th id=\"T_fc6e8_level0_col3\" class=\"col_heading level0 col3\" >correct hit percentage</th>\n",
-       "      <th id=\"T_fc6e8_level0_col4\" class=\"col_heading level0 col4\" >correct reject percentage</th>\n",
-       "      <th id=\"T_fc6e8_level0_col5\" class=\"col_heading level0 col5\" >percent correct</th>\n",
-       "      <th id=\"T_fc6e8_level0_col6\" class=\"col_heading level0 col6\" >confidence when correct hit</th>\n",
-       "      <th id=\"T_fc6e8_level0_col7\" class=\"col_heading level0 col7\" >confidence when incorrect hit</th>\n",
-       "      <th id=\"T_fc6e8_level0_col8\" class=\"col_heading level0 col8\" >confidence when correct reject</th>\n",
-       "      <th id=\"T_fc6e8_level0_col9\" class=\"col_heading level0 col9\" >confidence when incorrect reject</th>\n",
-       "      <th id=\"T_fc6e8_level0_col10\" class=\"col_heading level0 col10\" >confidence when correct</th>\n",
-       "      <th id=\"T_fc6e8_level0_col11\" class=\"col_heading level0 col11\" >confidence when incorrect</th>\n",
-       "      <th id=\"T_fc6e8_level0_col12\" class=\"col_heading level0 col12\" >sci</th>\n",
-       "      <th id=\"T_fc6e8_level0_col13\" class=\"col_heading level0 col13\" >psqi</th>\n",
-       "      <th id=\"T_fc6e8_level0_col14\" class=\"col_heading level0 col14\" >ess</th>\n",
-       "      <th id=\"T_fc6e8_level0_col15\" class=\"col_heading level0 col15\" >insomnia</th>\n",
+       "      <th id=\"T_045de_level0_col0\" class=\"col_heading level0 col0\" >participant number</th>\n",
+       "      <th id=\"T_045de_level0_col1\" class=\"col_heading level0 col1\" >gender</th>\n",
+       "      <th id=\"T_045de_level0_col2\" class=\"col_heading level0 col2\" >age</th>\n",
+       "      <th id=\"T_045de_level0_col3\" class=\"col_heading level0 col3\" >correct hit percentage</th>\n",
+       "      <th id=\"T_045de_level0_col4\" class=\"col_heading level0 col4\" >correct reject percentage</th>\n",
+       "      <th id=\"T_045de_level0_col5\" class=\"col_heading level0 col5\" >percent correct</th>\n",
+       "      <th id=\"T_045de_level0_col6\" class=\"col_heading level0 col6\" >confidence when correct hit</th>\n",
+       "      <th id=\"T_045de_level0_col7\" class=\"col_heading level0 col7\" >confidence when incorrect hit</th>\n",
+       "      <th id=\"T_045de_level0_col8\" class=\"col_heading level0 col8\" >confidence when correct reject</th>\n",
+       "      <th id=\"T_045de_level0_col9\" class=\"col_heading level0 col9\" >confidence when incorrect reject</th>\n",
+       "      <th id=\"T_045de_level0_col10\" class=\"col_heading level0 col10\" >confidence when correct</th>\n",
+       "      <th id=\"T_045de_level0_col11\" class=\"col_heading level0 col11\" >confidence when incorrect</th>\n",
+       "      <th id=\"T_045de_level0_col12\" class=\"col_heading level0 col12\" >sci</th>\n",
+       "      <th id=\"T_045de_level0_col13\" class=\"col_heading level0 col13\" >psqi</th>\n",
+       "      <th id=\"T_045de_level0_col14\" class=\"col_heading level0 col14\" >ess</th>\n",
+       "      <th id=\"T_045de_level0_col15\" class=\"col_heading level0 col15\" >insomnia</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
-       "      <td id=\"T_fc6e8_row0_col0\" class=\"data row0 col0\" >8</td>\n",
-       "      <td id=\"T_fc6e8_row0_col1\" class=\"data row0 col1\" >f</td>\n",
-       "      <td id=\"T_fc6e8_row0_col2\" class=\"data row0 col2\" >39</td>\n",
-       "      <td id=\"T_fc6e8_row0_col3\" class=\"data row0 col3\" >65</td>\n",
-       "      <td id=\"T_fc6e8_row0_col4\" class=\"data row0 col4\" >80</td>\n",
-       "      <td id=\"T_fc6e8_row0_col5\" class=\"data row0 col5\" >72.500000</td>\n",
-       "      <td id=\"T_fc6e8_row0_col6\" class=\"data row0 col6\" >91.000000</td>\n",
-       "      <td id=\"T_fc6e8_row0_col7\" class=\"data row0 col7\" >90.000000</td>\n",
-       "      <td id=\"T_fc6e8_row0_col8\" class=\"data row0 col8\" >93.000000</td>\n",
-       "      <td id=\"T_fc6e8_row0_col9\" class=\"data row0 col9\" >83.500000</td>\n",
-       "      <td id=\"T_fc6e8_row0_col10\" class=\"data row0 col10\" >93.000000</td>\n",
-       "      <td id=\"T_fc6e8_row0_col11\" class=\"data row0 col11\" >90.000000</td>\n",
-       "      <td id=\"T_fc6e8_row0_col12\" class=\"data row0 col12\" >9</td>\n",
-       "      <td id=\"T_fc6e8_row0_col13\" class=\"data row0 col13\" >13</td>\n",
-       "      <td id=\"T_fc6e8_row0_col14\" class=\"data row0 col14\" >2</td>\n",
-       "      <td id=\"T_fc6e8_row0_col15\" class=\"data row0 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
-       "      <td id=\"T_fc6e8_row1_col0\" class=\"data row1 col0\" >16</td>\n",
-       "      <td id=\"T_fc6e8_row1_col1\" class=\"data row1 col1\" >m</td>\n",
-       "      <td id=\"T_fc6e8_row1_col2\" class=\"data row1 col2\" >42</td>\n",
-       "      <td id=\"T_fc6e8_row1_col3\" class=\"data row1 col3\" >90</td>\n",
-       "      <td id=\"T_fc6e8_row1_col4\" class=\"data row1 col4\" >90</td>\n",
-       "      <td id=\"T_fc6e8_row1_col5\" class=\"data row1 col5\" >90.000000</td>\n",
-       "      <td id=\"T_fc6e8_row1_col6\" class=\"data row1 col6\" >75.500000</td>\n",
-       "      <td id=\"T_fc6e8_row1_col7\" class=\"data row1 col7\" >55.500000</td>\n",
-       "      <td id=\"T_fc6e8_row1_col8\" class=\"data row1 col8\" >70.500000</td>\n",
-       "      <td id=\"T_fc6e8_row1_col9\" class=\"data row1 col9\" >50.000000</td>\n",
-       "      <td id=\"T_fc6e8_row1_col10\" class=\"data row1 col10\" >75.000000</td>\n",
-       "      <td id=\"T_fc6e8_row1_col11\" class=\"data row1 col11\" >50.000000</td>\n",
-       "      <td id=\"T_fc6e8_row1_col12\" class=\"data row1 col12\" >4</td>\n",
-       "      <td id=\"T_fc6e8_row1_col13\" class=\"data row1 col13\" >11</td>\n",
-       "      <td id=\"T_fc6e8_row1_col14\" class=\"data row1 col14\" >7</td>\n",
-       "      <td id=\"T_fc6e8_row1_col15\" class=\"data row1 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
-       "      <td id=\"T_fc6e8_row2_col0\" class=\"data row2 col0\" >18</td>\n",
-       "      <td id=\"T_fc6e8_row2_col1\" class=\"data row2 col1\" >f</td>\n",
-       "      <td id=\"T_fc6e8_row2_col2\" class=\"data row2 col2\" >31</td>\n",
-       "      <td id=\"T_fc6e8_row2_col3\" class=\"data row2 col3\" >90</td>\n",
-       "      <td id=\"T_fc6e8_row2_col4\" class=\"data row2 col4\" >95</td>\n",
-       "      <td id=\"T_fc6e8_row2_col5\" class=\"data row2 col5\" >92.500000</td>\n",
-       "      <td id=\"T_fc6e8_row2_col6\" class=\"data row2 col6\" >89.500000</td>\n",
-       "      <td id=\"T_fc6e8_row2_col7\" class=\"data row2 col7\" >90.000000</td>\n",
-       "      <td id=\"T_fc6e8_row2_col8\" class=\"data row2 col8\" >86.000000</td>\n",
-       "      <td id=\"T_fc6e8_row2_col9\" class=\"data row2 col9\" >81.000000</td>\n",
-       "      <td id=\"T_fc6e8_row2_col10\" class=\"data row2 col10\" >89.000000</td>\n",
-       "      <td id=\"T_fc6e8_row2_col11\" class=\"data row2 col11\" >88.000000</td>\n",
-       "      <td id=\"T_fc6e8_row2_col12\" class=\"data row2 col12\" >10</td>\n",
-       "      <td id=\"T_fc6e8_row2_col13\" class=\"data row2 col13\" >9</td>\n",
-       "      <td id=\"T_fc6e8_row2_col14\" class=\"data row2 col14\" >3</td>\n",
-       "      <td id=\"T_fc6e8_row2_col15\" class=\"data row2 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
-       "      <td id=\"T_fc6e8_row3_col0\" class=\"data row3 col0\" >22</td>\n",
-       "      <td id=\"T_fc6e8_row3_col1\" class=\"data row3 col1\" >f</td>\n",
-       "      <td id=\"T_fc6e8_row3_col2\" class=\"data row3 col2\" >35</td>\n",
-       "      <td id=\"T_fc6e8_row3_col3\" class=\"data row3 col3\" >100</td>\n",
-       "      <td id=\"T_fc6e8_row3_col4\" class=\"data row3 col4\" >75</td>\n",
-       "      <td id=\"T_fc6e8_row3_col5\" class=\"data row3 col5\" >87.500000</td>\n",
-       "      <td id=\"T_fc6e8_row3_col6\" class=\"data row3 col6\" >89.500000</td>\n",
-       "      <td id=\"T_fc6e8_row3_col7\" class=\"data row3 col7\" >nan</td>\n",
-       "      <td id=\"T_fc6e8_row3_col8\" class=\"data row3 col8\" >71.000000</td>\n",
-       "      <td id=\"T_fc6e8_row3_col9\" class=\"data row3 col9\" >80.000000</td>\n",
-       "      <td id=\"T_fc6e8_row3_col10\" class=\"data row3 col10\" >88.000000</td>\n",
-       "      <td id=\"T_fc6e8_row3_col11\" class=\"data row3 col11\" >80.000000</td>\n",
-       "      <td id=\"T_fc6e8_row3_col12\" class=\"data row3 col12\" >13</td>\n",
-       "      <td id=\"T_fc6e8_row3_col13\" class=\"data row3 col13\" >8</td>\n",
-       "      <td id=\"T_fc6e8_row3_col14\" class=\"data row3 col14\" >20</td>\n",
-       "      <td id=\"T_fc6e8_row3_col15\" class=\"data row3 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
-       "      <td id=\"T_fc6e8_row4_col0\" class=\"data row4 col0\" >27</td>\n",
-       "      <td id=\"T_fc6e8_row4_col1\" class=\"data row4 col1\" >f</td>\n",
-       "      <td id=\"T_fc6e8_row4_col2\" class=\"data row4 col2\" >74</td>\n",
-       "      <td id=\"T_fc6e8_row4_col3\" class=\"data row4 col3\" >60</td>\n",
-       "      <td id=\"T_fc6e8_row4_col4\" class=\"data row4 col4\" >65</td>\n",
-       "      <td id=\"T_fc6e8_row4_col5\" class=\"data row4 col5\" >62.500000</td>\n",
-       "      <td id=\"T_fc6e8_row4_col6\" class=\"data row4 col6\" >68.500000</td>\n",
-       "      <td id=\"T_fc6e8_row4_col7\" class=\"data row4 col7\" >49.000000</td>\n",
-       "      <td id=\"T_fc6e8_row4_col8\" class=\"data row4 col8\" >61.000000</td>\n",
-       "      <td id=\"T_fc6e8_row4_col9\" class=\"data row4 col9\" >49.000000</td>\n",
-       "      <td id=\"T_fc6e8_row4_col10\" class=\"data row4 col10\" >65.000000</td>\n",
-       "      <td id=\"T_fc6e8_row4_col11\" class=\"data row4 col11\" >49.000000</td>\n",
-       "      <td id=\"T_fc6e8_row4_col12\" class=\"data row4 col12\" >13</td>\n",
-       "      <td id=\"T_fc6e8_row4_col13\" class=\"data row4 col13\" >9</td>\n",
-       "      <td id=\"T_fc6e8_row4_col14\" class=\"data row4 col14\" >12</td>\n",
-       "      <td id=\"T_fc6e8_row4_col15\" class=\"data row4 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
-       "      <td id=\"T_fc6e8_row5_col0\" class=\"data row5 col0\" >28</td>\n",
-       "      <td id=\"T_fc6e8_row5_col1\" class=\"data row5 col1\" >f</td>\n",
-       "      <td id=\"T_fc6e8_row5_col2\" class=\"data row5 col2\" >61</td>\n",
-       "      <td id=\"T_fc6e8_row5_col3\" class=\"data row5 col3\" >80</td>\n",
-       "      <td id=\"T_fc6e8_row5_col4\" class=\"data row5 col4\" >20</td>\n",
-       "      <td id=\"T_fc6e8_row5_col5\" class=\"data row5 col5\" >50.000000</td>\n",
-       "      <td id=\"T_fc6e8_row5_col6\" class=\"data row5 col6\" >71.000000</td>\n",
-       "      <td id=\"T_fc6e8_row5_col7\" class=\"data row5 col7\" >63.000000</td>\n",
-       "      <td id=\"T_fc6e8_row5_col8\" class=\"data row5 col8\" >31.000000</td>\n",
-       "      <td id=\"T_fc6e8_row5_col9\" class=\"data row5 col9\" >72.500000</td>\n",
-       "      <td id=\"T_fc6e8_row5_col10\" class=\"data row5 col10\" >64.500000</td>\n",
-       "      <td id=\"T_fc6e8_row5_col11\" class=\"data row5 col11\" >70.500000</td>\n",
-       "      <td id=\"T_fc6e8_row5_col12\" class=\"data row5 col12\" >15</td>\n",
-       "      <td id=\"T_fc6e8_row5_col13\" class=\"data row5 col13\" >14</td>\n",
-       "      <td id=\"T_fc6e8_row5_col14\" class=\"data row5 col14\" >2</td>\n",
-       "      <td id=\"T_fc6e8_row5_col15\" class=\"data row5 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
-       "      <td id=\"T_fc6e8_row6_col0\" class=\"data row6 col0\" >30</td>\n",
-       "      <td id=\"T_fc6e8_row6_col1\" class=\"data row6 col1\" >m</td>\n",
-       "      <td id=\"T_fc6e8_row6_col2\" class=\"data row6 col2\" >32</td>\n",
-       "      <td id=\"T_fc6e8_row6_col3\" class=\"data row6 col3\" >90</td>\n",
-       "      <td id=\"T_fc6e8_row6_col4\" class=\"data row6 col4\" >75</td>\n",
-       "      <td id=\"T_fc6e8_row6_col5\" class=\"data row6 col5\" >82.500000</td>\n",
-       "      <td id=\"T_fc6e8_row6_col6\" class=\"data row6 col6\" >67.000000</td>\n",
-       "      <td id=\"T_fc6e8_row6_col7\" class=\"data row6 col7\" >56.500000</td>\n",
-       "      <td id=\"T_fc6e8_row6_col8\" class=\"data row6 col8\" >66.000000</td>\n",
-       "      <td id=\"T_fc6e8_row6_col9\" class=\"data row6 col9\" >65.000000</td>\n",
-       "      <td id=\"T_fc6e8_row6_col10\" class=\"data row6 col10\" >66.000000</td>\n",
-       "      <td id=\"T_fc6e8_row6_col11\" class=\"data row6 col11\" >64.000000</td>\n",
-       "      <td id=\"T_fc6e8_row6_col12\" class=\"data row6 col12\" >16</td>\n",
-       "      <td id=\"T_fc6e8_row6_col13\" class=\"data row6 col13\" >9</td>\n",
-       "      <td id=\"T_fc6e8_row6_col14\" class=\"data row6 col14\" >3</td>\n",
-       "      <td id=\"T_fc6e8_row6_col15\" class=\"data row6 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
-       "      <td id=\"T_fc6e8_row7_col0\" class=\"data row7 col0\" >33</td>\n",
-       "      <td id=\"T_fc6e8_row7_col1\" class=\"data row7 col1\" >m</td>\n",
-       "      <td id=\"T_fc6e8_row7_col2\" class=\"data row7 col2\" >62</td>\n",
-       "      <td id=\"T_fc6e8_row7_col3\" class=\"data row7 col3\" >45</td>\n",
-       "      <td id=\"T_fc6e8_row7_col4\" class=\"data row7 col4\" >90</td>\n",
-       "      <td id=\"T_fc6e8_row7_col5\" class=\"data row7 col5\" >67.500000</td>\n",
-       "      <td id=\"T_fc6e8_row7_col6\" class=\"data row7 col6\" >54.000000</td>\n",
-       "      <td id=\"T_fc6e8_row7_col7\" class=\"data row7 col7\" >37.000000</td>\n",
-       "      <td id=\"T_fc6e8_row7_col8\" class=\"data row7 col8\" >65.000000</td>\n",
-       "      <td id=\"T_fc6e8_row7_col9\" class=\"data row7 col9\" >81.500000</td>\n",
-       "      <td id=\"T_fc6e8_row7_col10\" class=\"data row7 col10\" >62.000000</td>\n",
-       "      <td id=\"T_fc6e8_row7_col11\" class=\"data row7 col11\" >61.000000</td>\n",
-       "      <td id=\"T_fc6e8_row7_col12\" class=\"data row7 col12\" >14</td>\n",
-       "      <td id=\"T_fc6e8_row7_col13\" class=\"data row7 col13\" >9</td>\n",
-       "      <td id=\"T_fc6e8_row7_col14\" class=\"data row7 col14\" >9</td>\n",
-       "      <td id=\"T_fc6e8_row7_col15\" class=\"data row7 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
-       "      <td id=\"T_fc6e8_row8_col0\" class=\"data row8 col0\" >34</td>\n",
-       "      <td id=\"T_fc6e8_row8_col1\" class=\"data row8 col1\" >f</td>\n",
-       "      <td id=\"T_fc6e8_row8_col2\" class=\"data row8 col2\" >33</td>\n",
-       "      <td id=\"T_fc6e8_row8_col3\" class=\"data row8 col3\" >80</td>\n",
-       "      <td id=\"T_fc6e8_row8_col4\" class=\"data row8 col4\" >100</td>\n",
-       "      <td id=\"T_fc6e8_row8_col5\" class=\"data row8 col5\" >90.000000</td>\n",
-       "      <td id=\"T_fc6e8_row8_col6\" class=\"data row8 col6\" >70.500000</td>\n",
-       "      <td id=\"T_fc6e8_row8_col7\" class=\"data row8 col7\" >76.500000</td>\n",
-       "      <td id=\"T_fc6e8_row8_col8\" class=\"data row8 col8\" >64.500000</td>\n",
-       "      <td id=\"T_fc6e8_row8_col9\" class=\"data row8 col9\" >nan</td>\n",
-       "      <td id=\"T_fc6e8_row8_col10\" class=\"data row8 col10\" >68.000000</td>\n",
-       "      <td id=\"T_fc6e8_row8_col11\" class=\"data row8 col11\" >76.500000</td>\n",
-       "      <td id=\"T_fc6e8_row8_col12\" class=\"data row8 col12\" >14</td>\n",
-       "      <td id=\"T_fc6e8_row8_col13\" class=\"data row8 col13\" >12</td>\n",
-       "      <td id=\"T_fc6e8_row8_col14\" class=\"data row8 col14\" >10</td>\n",
-       "      <td id=\"T_fc6e8_row8_col15\" class=\"data row8 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_fc6e8_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
-       "      <td id=\"T_fc6e8_row9_col0\" class=\"data row9 col0\" >35</td>\n",
-       "      <td id=\"T_fc6e8_row9_col1\" class=\"data row9 col1\" >f</td>\n",
-       "      <td id=\"T_fc6e8_row9_col2\" class=\"data row9 col2\" >53</td>\n",
-       "      <td id=\"T_fc6e8_row9_col3\" class=\"data row9 col3\" >100</td>\n",
-       "      <td id=\"T_fc6e8_row9_col4\" class=\"data row9 col4\" >50</td>\n",
-       "      <td id=\"T_fc6e8_row9_col5\" class=\"data row9 col5\" >75.000000</td>\n",
-       "      <td id=\"T_fc6e8_row9_col6\" class=\"data row9 col6\" >74.500000</td>\n",
-       "      <td id=\"T_fc6e8_row9_col7\" class=\"data row9 col7\" >nan</td>\n",
-       "      <td id=\"T_fc6e8_row9_col8\" class=\"data row9 col8\" >60.500000</td>\n",
-       "      <td id=\"T_fc6e8_row9_col9\" class=\"data row9 col9\" >65.000000</td>\n",
-       "      <td id=\"T_fc6e8_row9_col10\" class=\"data row9 col10\" >71.000000</td>\n",
-       "      <td id=\"T_fc6e8_row9_col11\" class=\"data row9 col11\" >65.000000</td>\n",
-       "      <td id=\"T_fc6e8_row9_col12\" class=\"data row9 col12\" >14</td>\n",
-       "      <td id=\"T_fc6e8_row9_col13\" class=\"data row9 col13\" >8</td>\n",
-       "      <td id=\"T_fc6e8_row9_col14\" class=\"data row9 col14\" >7</td>\n",
-       "      <td id=\"T_fc6e8_row9_col15\" class=\"data row9 col15\" >True</td>\n",
+       "      <th id=\"T_045de_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+       "      <td id=\"T_045de_row0_col0\" class=\"data row0 col0\" >8</td>\n",
+       "      <td id=\"T_045de_row0_col1\" class=\"data row0 col1\" >f</td>\n",
+       "      <td id=\"T_045de_row0_col2\" class=\"data row0 col2\" >39</td>\n",
+       "      <td id=\"T_045de_row0_col3\" class=\"data row0 col3\" >65</td>\n",
+       "      <td id=\"T_045de_row0_col4\" class=\"data row0 col4\" >80</td>\n",
+       "      <td id=\"T_045de_row0_col5\" class=\"data row0 col5\" >72.500000</td>\n",
+       "      <td id=\"T_045de_row0_col6\" class=\"data row0 col6\" >91.000000</td>\n",
+       "      <td id=\"T_045de_row0_col7\" class=\"data row0 col7\" >90.000000</td>\n",
+       "      <td id=\"T_045de_row0_col8\" class=\"data row0 col8\" >93.000000</td>\n",
+       "      <td id=\"T_045de_row0_col9\" class=\"data row0 col9\" >83.500000</td>\n",
+       "      <td id=\"T_045de_row0_col10\" class=\"data row0 col10\" >93.000000</td>\n",
+       "      <td id=\"T_045de_row0_col11\" class=\"data row0 col11\" >90.000000</td>\n",
+       "      <td id=\"T_045de_row0_col12\" class=\"data row0 col12\" >9</td>\n",
+       "      <td id=\"T_045de_row0_col13\" class=\"data row0 col13\" >13</td>\n",
+       "      <td id=\"T_045de_row0_col14\" class=\"data row0 col14\" >2</td>\n",
+       "      <td id=\"T_045de_row0_col15\" class=\"data row0 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+       "      <td id=\"T_045de_row1_col0\" class=\"data row1 col0\" >16</td>\n",
+       "      <td id=\"T_045de_row1_col1\" class=\"data row1 col1\" >m</td>\n",
+       "      <td id=\"T_045de_row1_col2\" class=\"data row1 col2\" >42</td>\n",
+       "      <td id=\"T_045de_row1_col3\" class=\"data row1 col3\" >90</td>\n",
+       "      <td id=\"T_045de_row1_col4\" class=\"data row1 col4\" >90</td>\n",
+       "      <td id=\"T_045de_row1_col5\" class=\"data row1 col5\" >90.000000</td>\n",
+       "      <td id=\"T_045de_row1_col6\" class=\"data row1 col6\" >75.500000</td>\n",
+       "      <td id=\"T_045de_row1_col7\" class=\"data row1 col7\" >55.500000</td>\n",
+       "      <td id=\"T_045de_row1_col8\" class=\"data row1 col8\" >70.500000</td>\n",
+       "      <td id=\"T_045de_row1_col9\" class=\"data row1 col9\" >50.000000</td>\n",
+       "      <td id=\"T_045de_row1_col10\" class=\"data row1 col10\" >75.000000</td>\n",
+       "      <td id=\"T_045de_row1_col11\" class=\"data row1 col11\" >50.000000</td>\n",
+       "      <td id=\"T_045de_row1_col12\" class=\"data row1 col12\" >4</td>\n",
+       "      <td id=\"T_045de_row1_col13\" class=\"data row1 col13\" >11</td>\n",
+       "      <td id=\"T_045de_row1_col14\" class=\"data row1 col14\" >7</td>\n",
+       "      <td id=\"T_045de_row1_col15\" class=\"data row1 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+       "      <td id=\"T_045de_row2_col0\" class=\"data row2 col0\" >18</td>\n",
+       "      <td id=\"T_045de_row2_col1\" class=\"data row2 col1\" >f</td>\n",
+       "      <td id=\"T_045de_row2_col2\" class=\"data row2 col2\" >31</td>\n",
+       "      <td id=\"T_045de_row2_col3\" class=\"data row2 col3\" >90</td>\n",
+       "      <td id=\"T_045de_row2_col4\" class=\"data row2 col4\" >95</td>\n",
+       "      <td id=\"T_045de_row2_col5\" class=\"data row2 col5\" >92.500000</td>\n",
+       "      <td id=\"T_045de_row2_col6\" class=\"data row2 col6\" >89.500000</td>\n",
+       "      <td id=\"T_045de_row2_col7\" class=\"data row2 col7\" >90.000000</td>\n",
+       "      <td id=\"T_045de_row2_col8\" class=\"data row2 col8\" >86.000000</td>\n",
+       "      <td id=\"T_045de_row2_col9\" class=\"data row2 col9\" >81.000000</td>\n",
+       "      <td id=\"T_045de_row2_col10\" class=\"data row2 col10\" >89.000000</td>\n",
+       "      <td id=\"T_045de_row2_col11\" class=\"data row2 col11\" >88.000000</td>\n",
+       "      <td id=\"T_045de_row2_col12\" class=\"data row2 col12\" >10</td>\n",
+       "      <td id=\"T_045de_row2_col13\" class=\"data row2 col13\" >9</td>\n",
+       "      <td id=\"T_045de_row2_col14\" class=\"data row2 col14\" >3</td>\n",
+       "      <td id=\"T_045de_row2_col15\" class=\"data row2 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+       "      <td id=\"T_045de_row3_col0\" class=\"data row3 col0\" >22</td>\n",
+       "      <td id=\"T_045de_row3_col1\" class=\"data row3 col1\" >f</td>\n",
+       "      <td id=\"T_045de_row3_col2\" class=\"data row3 col2\" >35</td>\n",
+       "      <td id=\"T_045de_row3_col3\" class=\"data row3 col3\" >100</td>\n",
+       "      <td id=\"T_045de_row3_col4\" class=\"data row3 col4\" >75</td>\n",
+       "      <td id=\"T_045de_row3_col5\" class=\"data row3 col5\" >87.500000</td>\n",
+       "      <td id=\"T_045de_row3_col6\" class=\"data row3 col6\" >89.500000</td>\n",
+       "      <td id=\"T_045de_row3_col7\" class=\"data row3 col7\" >nan</td>\n",
+       "      <td id=\"T_045de_row3_col8\" class=\"data row3 col8\" >71.000000</td>\n",
+       "      <td id=\"T_045de_row3_col9\" class=\"data row3 col9\" >80.000000</td>\n",
+       "      <td id=\"T_045de_row3_col10\" class=\"data row3 col10\" >88.000000</td>\n",
+       "      <td id=\"T_045de_row3_col11\" class=\"data row3 col11\" >80.000000</td>\n",
+       "      <td id=\"T_045de_row3_col12\" class=\"data row3 col12\" >13</td>\n",
+       "      <td id=\"T_045de_row3_col13\" class=\"data row3 col13\" >8</td>\n",
+       "      <td id=\"T_045de_row3_col14\" class=\"data row3 col14\" >20</td>\n",
+       "      <td id=\"T_045de_row3_col15\" class=\"data row3 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+       "      <td id=\"T_045de_row4_col0\" class=\"data row4 col0\" >27</td>\n",
+       "      <td id=\"T_045de_row4_col1\" class=\"data row4 col1\" >f</td>\n",
+       "      <td id=\"T_045de_row4_col2\" class=\"data row4 col2\" >74</td>\n",
+       "      <td id=\"T_045de_row4_col3\" class=\"data row4 col3\" >60</td>\n",
+       "      <td id=\"T_045de_row4_col4\" class=\"data row4 col4\" >65</td>\n",
+       "      <td id=\"T_045de_row4_col5\" class=\"data row4 col5\" >62.500000</td>\n",
+       "      <td id=\"T_045de_row4_col6\" class=\"data row4 col6\" >68.500000</td>\n",
+       "      <td id=\"T_045de_row4_col7\" class=\"data row4 col7\" >49.000000</td>\n",
+       "      <td id=\"T_045de_row4_col8\" class=\"data row4 col8\" >61.000000</td>\n",
+       "      <td id=\"T_045de_row4_col9\" class=\"data row4 col9\" >49.000000</td>\n",
+       "      <td id=\"T_045de_row4_col10\" class=\"data row4 col10\" >65.000000</td>\n",
+       "      <td id=\"T_045de_row4_col11\" class=\"data row4 col11\" >49.000000</td>\n",
+       "      <td id=\"T_045de_row4_col12\" class=\"data row4 col12\" >13</td>\n",
+       "      <td id=\"T_045de_row4_col13\" class=\"data row4 col13\" >9</td>\n",
+       "      <td id=\"T_045de_row4_col14\" class=\"data row4 col14\" >12</td>\n",
+       "      <td id=\"T_045de_row4_col15\" class=\"data row4 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
+       "      <td id=\"T_045de_row5_col0\" class=\"data row5 col0\" >28</td>\n",
+       "      <td id=\"T_045de_row5_col1\" class=\"data row5 col1\" >f</td>\n",
+       "      <td id=\"T_045de_row5_col2\" class=\"data row5 col2\" >61</td>\n",
+       "      <td id=\"T_045de_row5_col3\" class=\"data row5 col3\" >80</td>\n",
+       "      <td id=\"T_045de_row5_col4\" class=\"data row5 col4\" >20</td>\n",
+       "      <td id=\"T_045de_row5_col5\" class=\"data row5 col5\" >50.000000</td>\n",
+       "      <td id=\"T_045de_row5_col6\" class=\"data row5 col6\" >71.000000</td>\n",
+       "      <td id=\"T_045de_row5_col7\" class=\"data row5 col7\" >63.000000</td>\n",
+       "      <td id=\"T_045de_row5_col8\" class=\"data row5 col8\" >31.000000</td>\n",
+       "      <td id=\"T_045de_row5_col9\" class=\"data row5 col9\" >72.500000</td>\n",
+       "      <td id=\"T_045de_row5_col10\" class=\"data row5 col10\" >64.500000</td>\n",
+       "      <td id=\"T_045de_row5_col11\" class=\"data row5 col11\" >70.500000</td>\n",
+       "      <td id=\"T_045de_row5_col12\" class=\"data row5 col12\" >15</td>\n",
+       "      <td id=\"T_045de_row5_col13\" class=\"data row5 col13\" >14</td>\n",
+       "      <td id=\"T_045de_row5_col14\" class=\"data row5 col14\" >2</td>\n",
+       "      <td id=\"T_045de_row5_col15\" class=\"data row5 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
+       "      <td id=\"T_045de_row6_col0\" class=\"data row6 col0\" >30</td>\n",
+       "      <td id=\"T_045de_row6_col1\" class=\"data row6 col1\" >m</td>\n",
+       "      <td id=\"T_045de_row6_col2\" class=\"data row6 col2\" >32</td>\n",
+       "      <td id=\"T_045de_row6_col3\" class=\"data row6 col3\" >90</td>\n",
+       "      <td id=\"T_045de_row6_col4\" class=\"data row6 col4\" >75</td>\n",
+       "      <td id=\"T_045de_row6_col5\" class=\"data row6 col5\" >82.500000</td>\n",
+       "      <td id=\"T_045de_row6_col6\" class=\"data row6 col6\" >67.000000</td>\n",
+       "      <td id=\"T_045de_row6_col7\" class=\"data row6 col7\" >56.500000</td>\n",
+       "      <td id=\"T_045de_row6_col8\" class=\"data row6 col8\" >66.000000</td>\n",
+       "      <td id=\"T_045de_row6_col9\" class=\"data row6 col9\" >65.000000</td>\n",
+       "      <td id=\"T_045de_row6_col10\" class=\"data row6 col10\" >66.000000</td>\n",
+       "      <td id=\"T_045de_row6_col11\" class=\"data row6 col11\" >64.000000</td>\n",
+       "      <td id=\"T_045de_row6_col12\" class=\"data row6 col12\" >16</td>\n",
+       "      <td id=\"T_045de_row6_col13\" class=\"data row6 col13\" >9</td>\n",
+       "      <td id=\"T_045de_row6_col14\" class=\"data row6 col14\" >3</td>\n",
+       "      <td id=\"T_045de_row6_col15\" class=\"data row6 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
+       "      <td id=\"T_045de_row7_col0\" class=\"data row7 col0\" >33</td>\n",
+       "      <td id=\"T_045de_row7_col1\" class=\"data row7 col1\" >m</td>\n",
+       "      <td id=\"T_045de_row7_col2\" class=\"data row7 col2\" >62</td>\n",
+       "      <td id=\"T_045de_row7_col3\" class=\"data row7 col3\" >45</td>\n",
+       "      <td id=\"T_045de_row7_col4\" class=\"data row7 col4\" >90</td>\n",
+       "      <td id=\"T_045de_row7_col5\" class=\"data row7 col5\" >67.500000</td>\n",
+       "      <td id=\"T_045de_row7_col6\" class=\"data row7 col6\" >54.000000</td>\n",
+       "      <td id=\"T_045de_row7_col7\" class=\"data row7 col7\" >37.000000</td>\n",
+       "      <td id=\"T_045de_row7_col8\" class=\"data row7 col8\" >65.000000</td>\n",
+       "      <td id=\"T_045de_row7_col9\" class=\"data row7 col9\" >81.500000</td>\n",
+       "      <td id=\"T_045de_row7_col10\" class=\"data row7 col10\" >62.000000</td>\n",
+       "      <td id=\"T_045de_row7_col11\" class=\"data row7 col11\" >61.000000</td>\n",
+       "      <td id=\"T_045de_row7_col12\" class=\"data row7 col12\" >14</td>\n",
+       "      <td id=\"T_045de_row7_col13\" class=\"data row7 col13\" >9</td>\n",
+       "      <td id=\"T_045de_row7_col14\" class=\"data row7 col14\" >9</td>\n",
+       "      <td id=\"T_045de_row7_col15\" class=\"data row7 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
+       "      <td id=\"T_045de_row8_col0\" class=\"data row8 col0\" >34</td>\n",
+       "      <td id=\"T_045de_row8_col1\" class=\"data row8 col1\" >f</td>\n",
+       "      <td id=\"T_045de_row8_col2\" class=\"data row8 col2\" >33</td>\n",
+       "      <td id=\"T_045de_row8_col3\" class=\"data row8 col3\" >80</td>\n",
+       "      <td id=\"T_045de_row8_col4\" class=\"data row8 col4\" >100</td>\n",
+       "      <td id=\"T_045de_row8_col5\" class=\"data row8 col5\" >90.000000</td>\n",
+       "      <td id=\"T_045de_row8_col6\" class=\"data row8 col6\" >70.500000</td>\n",
+       "      <td id=\"T_045de_row8_col7\" class=\"data row8 col7\" >76.500000</td>\n",
+       "      <td id=\"T_045de_row8_col8\" class=\"data row8 col8\" >64.500000</td>\n",
+       "      <td id=\"T_045de_row8_col9\" class=\"data row8 col9\" >nan</td>\n",
+       "      <td id=\"T_045de_row8_col10\" class=\"data row8 col10\" >68.000000</td>\n",
+       "      <td id=\"T_045de_row8_col11\" class=\"data row8 col11\" >76.500000</td>\n",
+       "      <td id=\"T_045de_row8_col12\" class=\"data row8 col12\" >14</td>\n",
+       "      <td id=\"T_045de_row8_col13\" class=\"data row8 col13\" >12</td>\n",
+       "      <td id=\"T_045de_row8_col14\" class=\"data row8 col14\" >10</td>\n",
+       "      <td id=\"T_045de_row8_col15\" class=\"data row8 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_045de_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
+       "      <td id=\"T_045de_row9_col0\" class=\"data row9 col0\" >35</td>\n",
+       "      <td id=\"T_045de_row9_col1\" class=\"data row9 col1\" >f</td>\n",
+       "      <td id=\"T_045de_row9_col2\" class=\"data row9 col2\" >53</td>\n",
+       "      <td id=\"T_045de_row9_col3\" class=\"data row9 col3\" >100</td>\n",
+       "      <td id=\"T_045de_row9_col4\" class=\"data row9 col4\" >50</td>\n",
+       "      <td id=\"T_045de_row9_col5\" class=\"data row9 col5\" >75.000000</td>\n",
+       "      <td id=\"T_045de_row9_col6\" class=\"data row9 col6\" >74.500000</td>\n",
+       "      <td id=\"T_045de_row9_col7\" class=\"data row9 col7\" >nan</td>\n",
+       "      <td id=\"T_045de_row9_col8\" class=\"data row9 col8\" >60.500000</td>\n",
+       "      <td id=\"T_045de_row9_col9\" class=\"data row9 col9\" >65.000000</td>\n",
+       "      <td id=\"T_045de_row9_col10\" class=\"data row9 col10\" >71.000000</td>\n",
+       "      <td id=\"T_045de_row9_col11\" class=\"data row9 col11\" >65.000000</td>\n",
+       "      <td id=\"T_045de_row9_col12\" class=\"data row9 col12\" >14</td>\n",
+       "      <td id=\"T_045de_row9_col13\" class=\"data row9 col13\" >8</td>\n",
+       "      <td id=\"T_045de_row9_col14\" class=\"data row9 col14\" >7</td>\n",
+       "      <td id=\"T_045de_row9_col15\" class=\"data row9 col15\" >True</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x1738ba090>"
+       "<pandas.io.formats.style.Styler at 0x107cc3210>"
       ]
      },
      "execution_count": 24,
@@ -2629,261 +2629,261 @@
      "data": {
       "text/html": [
        "<style type=\"text/css\">\n",
-       "#T_ae02b_row0_col5 {\n",
+       "#T_4b89a_row0_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 72.5%, transparent 72.5%);\n",
        "}\n",
-       "#T_ae02b_row1_col5, #T_ae02b_row8_col5 {\n",
+       "#T_4b89a_row1_col5, #T_4b89a_row8_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 90.0%, transparent 90.0%);\n",
        "}\n",
-       "#T_ae02b_row2_col5 {\n",
+       "#T_4b89a_row2_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 92.5%, transparent 92.5%);\n",
        "}\n",
-       "#T_ae02b_row3_col5 {\n",
+       "#T_4b89a_row3_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 87.5%, transparent 87.5%);\n",
        "}\n",
-       "#T_ae02b_row4_col5 {\n",
+       "#T_4b89a_row4_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 62.5%, transparent 62.5%);\n",
        "}\n",
-       "#T_ae02b_row5_col5 {\n",
+       "#T_4b89a_row5_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 50.0%, transparent 50.0%);\n",
        "}\n",
-       "#T_ae02b_row6_col5 {\n",
+       "#T_4b89a_row6_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 82.5%, transparent 82.5%);\n",
        "}\n",
-       "#T_ae02b_row7_col5 {\n",
+       "#T_4b89a_row7_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 67.5%, transparent 67.5%);\n",
        "}\n",
-       "#T_ae02b_row9_col5 {\n",
+       "#T_4b89a_row9_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 75.0%, transparent 75.0%);\n",
        "}\n",
        "</style>\n",
-       "<table id=\"T_ae02b\">\n",
+       "<table id=\"T_4b89a\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_ae02b_level0_col0\" class=\"col_heading level0 col0\" >participant number</th>\n",
-       "      <th id=\"T_ae02b_level0_col1\" class=\"col_heading level0 col1\" >gender</th>\n",
-       "      <th id=\"T_ae02b_level0_col2\" class=\"col_heading level0 col2\" >age</th>\n",
-       "      <th id=\"T_ae02b_level0_col3\" class=\"col_heading level0 col3\" >correct hit percentage</th>\n",
-       "      <th id=\"T_ae02b_level0_col4\" class=\"col_heading level0 col4\" >correct reject percentage</th>\n",
-       "      <th id=\"T_ae02b_level0_col5\" class=\"col_heading level0 col5\" >percent correct</th>\n",
-       "      <th id=\"T_ae02b_level0_col6\" class=\"col_heading level0 col6\" >confidence when correct hit</th>\n",
-       "      <th id=\"T_ae02b_level0_col7\" class=\"col_heading level0 col7\" >confidence when incorrect hit</th>\n",
-       "      <th id=\"T_ae02b_level0_col8\" class=\"col_heading level0 col8\" >confidence when correct reject</th>\n",
-       "      <th id=\"T_ae02b_level0_col9\" class=\"col_heading level0 col9\" >confidence when incorrect reject</th>\n",
-       "      <th id=\"T_ae02b_level0_col10\" class=\"col_heading level0 col10\" >confidence when correct</th>\n",
-       "      <th id=\"T_ae02b_level0_col11\" class=\"col_heading level0 col11\" >confidence when incorrect</th>\n",
-       "      <th id=\"T_ae02b_level0_col12\" class=\"col_heading level0 col12\" >sci</th>\n",
-       "      <th id=\"T_ae02b_level0_col13\" class=\"col_heading level0 col13\" >psqi</th>\n",
-       "      <th id=\"T_ae02b_level0_col14\" class=\"col_heading level0 col14\" >ess</th>\n",
-       "      <th id=\"T_ae02b_level0_col15\" class=\"col_heading level0 col15\" >insomnia</th>\n",
+       "      <th id=\"T_4b89a_level0_col0\" class=\"col_heading level0 col0\" >participant number</th>\n",
+       "      <th id=\"T_4b89a_level0_col1\" class=\"col_heading level0 col1\" >gender</th>\n",
+       "      <th id=\"T_4b89a_level0_col2\" class=\"col_heading level0 col2\" >age</th>\n",
+       "      <th id=\"T_4b89a_level0_col3\" class=\"col_heading level0 col3\" >correct hit percentage</th>\n",
+       "      <th id=\"T_4b89a_level0_col4\" class=\"col_heading level0 col4\" >correct reject percentage</th>\n",
+       "      <th id=\"T_4b89a_level0_col5\" class=\"col_heading level0 col5\" >percent correct</th>\n",
+       "      <th id=\"T_4b89a_level0_col6\" class=\"col_heading level0 col6\" >confidence when correct hit</th>\n",
+       "      <th id=\"T_4b89a_level0_col7\" class=\"col_heading level0 col7\" >confidence when incorrect hit</th>\n",
+       "      <th id=\"T_4b89a_level0_col8\" class=\"col_heading level0 col8\" >confidence when correct reject</th>\n",
+       "      <th id=\"T_4b89a_level0_col9\" class=\"col_heading level0 col9\" >confidence when incorrect reject</th>\n",
+       "      <th id=\"T_4b89a_level0_col10\" class=\"col_heading level0 col10\" >confidence when correct</th>\n",
+       "      <th id=\"T_4b89a_level0_col11\" class=\"col_heading level0 col11\" >confidence when incorrect</th>\n",
+       "      <th id=\"T_4b89a_level0_col12\" class=\"col_heading level0 col12\" >sci</th>\n",
+       "      <th id=\"T_4b89a_level0_col13\" class=\"col_heading level0 col13\" >psqi</th>\n",
+       "      <th id=\"T_4b89a_level0_col14\" class=\"col_heading level0 col14\" >ess</th>\n",
+       "      <th id=\"T_4b89a_level0_col15\" class=\"col_heading level0 col15\" >insomnia</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
-       "      <td id=\"T_ae02b_row0_col0\" class=\"data row0 col0\" >8</td>\n",
-       "      <td id=\"T_ae02b_row0_col1\" class=\"data row0 col1\" >f</td>\n",
-       "      <td id=\"T_ae02b_row0_col2\" class=\"data row0 col2\" >39</td>\n",
-       "      <td id=\"T_ae02b_row0_col3\" class=\"data row0 col3\" >65</td>\n",
-       "      <td id=\"T_ae02b_row0_col4\" class=\"data row0 col4\" >80</td>\n",
-       "      <td id=\"T_ae02b_row0_col5\" class=\"data row0 col5\" >72.500000</td>\n",
-       "      <td id=\"T_ae02b_row0_col6\" class=\"data row0 col6\" >91.000000</td>\n",
-       "      <td id=\"T_ae02b_row0_col7\" class=\"data row0 col7\" >90.000000</td>\n",
-       "      <td id=\"T_ae02b_row0_col8\" class=\"data row0 col8\" >93.000000</td>\n",
-       "      <td id=\"T_ae02b_row0_col9\" class=\"data row0 col9\" >83.500000</td>\n",
-       "      <td id=\"T_ae02b_row0_col10\" class=\"data row0 col10\" >93.000000</td>\n",
-       "      <td id=\"T_ae02b_row0_col11\" class=\"data row0 col11\" >90.000000</td>\n",
-       "      <td id=\"T_ae02b_row0_col12\" class=\"data row0 col12\" >9</td>\n",
-       "      <td id=\"T_ae02b_row0_col13\" class=\"data row0 col13\" >13</td>\n",
-       "      <td id=\"T_ae02b_row0_col14\" class=\"data row0 col14\" >2</td>\n",
-       "      <td id=\"T_ae02b_row0_col15\" class=\"data row0 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
-       "      <td id=\"T_ae02b_row1_col0\" class=\"data row1 col0\" >16</td>\n",
-       "      <td id=\"T_ae02b_row1_col1\" class=\"data row1 col1\" >m</td>\n",
-       "      <td id=\"T_ae02b_row1_col2\" class=\"data row1 col2\" >42</td>\n",
-       "      <td id=\"T_ae02b_row1_col3\" class=\"data row1 col3\" >90</td>\n",
-       "      <td id=\"T_ae02b_row1_col4\" class=\"data row1 col4\" >90</td>\n",
-       "      <td id=\"T_ae02b_row1_col5\" class=\"data row1 col5\" >90.000000</td>\n",
-       "      <td id=\"T_ae02b_row1_col6\" class=\"data row1 col6\" >75.500000</td>\n",
-       "      <td id=\"T_ae02b_row1_col7\" class=\"data row1 col7\" >55.500000</td>\n",
-       "      <td id=\"T_ae02b_row1_col8\" class=\"data row1 col8\" >70.500000</td>\n",
-       "      <td id=\"T_ae02b_row1_col9\" class=\"data row1 col9\" >50.000000</td>\n",
-       "      <td id=\"T_ae02b_row1_col10\" class=\"data row1 col10\" >75.000000</td>\n",
-       "      <td id=\"T_ae02b_row1_col11\" class=\"data row1 col11\" >50.000000</td>\n",
-       "      <td id=\"T_ae02b_row1_col12\" class=\"data row1 col12\" >4</td>\n",
-       "      <td id=\"T_ae02b_row1_col13\" class=\"data row1 col13\" >11</td>\n",
-       "      <td id=\"T_ae02b_row1_col14\" class=\"data row1 col14\" >7</td>\n",
-       "      <td id=\"T_ae02b_row1_col15\" class=\"data row1 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
-       "      <td id=\"T_ae02b_row2_col0\" class=\"data row2 col0\" >18</td>\n",
-       "      <td id=\"T_ae02b_row2_col1\" class=\"data row2 col1\" >f</td>\n",
-       "      <td id=\"T_ae02b_row2_col2\" class=\"data row2 col2\" >31</td>\n",
-       "      <td id=\"T_ae02b_row2_col3\" class=\"data row2 col3\" >90</td>\n",
-       "      <td id=\"T_ae02b_row2_col4\" class=\"data row2 col4\" >95</td>\n",
-       "      <td id=\"T_ae02b_row2_col5\" class=\"data row2 col5\" >92.500000</td>\n",
-       "      <td id=\"T_ae02b_row2_col6\" class=\"data row2 col6\" >89.500000</td>\n",
-       "      <td id=\"T_ae02b_row2_col7\" class=\"data row2 col7\" >90.000000</td>\n",
-       "      <td id=\"T_ae02b_row2_col8\" class=\"data row2 col8\" >86.000000</td>\n",
-       "      <td id=\"T_ae02b_row2_col9\" class=\"data row2 col9\" >81.000000</td>\n",
-       "      <td id=\"T_ae02b_row2_col10\" class=\"data row2 col10\" >89.000000</td>\n",
-       "      <td id=\"T_ae02b_row2_col11\" class=\"data row2 col11\" >88.000000</td>\n",
-       "      <td id=\"T_ae02b_row2_col12\" class=\"data row2 col12\" >10</td>\n",
-       "      <td id=\"T_ae02b_row2_col13\" class=\"data row2 col13\" >9</td>\n",
-       "      <td id=\"T_ae02b_row2_col14\" class=\"data row2 col14\" >3</td>\n",
-       "      <td id=\"T_ae02b_row2_col15\" class=\"data row2 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
-       "      <td id=\"T_ae02b_row3_col0\" class=\"data row3 col0\" >22</td>\n",
-       "      <td id=\"T_ae02b_row3_col1\" class=\"data row3 col1\" >f</td>\n",
-       "      <td id=\"T_ae02b_row3_col2\" class=\"data row3 col2\" >35</td>\n",
-       "      <td id=\"T_ae02b_row3_col3\" class=\"data row3 col3\" >100</td>\n",
-       "      <td id=\"T_ae02b_row3_col4\" class=\"data row3 col4\" >75</td>\n",
-       "      <td id=\"T_ae02b_row3_col5\" class=\"data row3 col5\" >87.500000</td>\n",
-       "      <td id=\"T_ae02b_row3_col6\" class=\"data row3 col6\" >89.500000</td>\n",
-       "      <td id=\"T_ae02b_row3_col7\" class=\"data row3 col7\" >nan</td>\n",
-       "      <td id=\"T_ae02b_row3_col8\" class=\"data row3 col8\" >71.000000</td>\n",
-       "      <td id=\"T_ae02b_row3_col9\" class=\"data row3 col9\" >80.000000</td>\n",
-       "      <td id=\"T_ae02b_row3_col10\" class=\"data row3 col10\" >88.000000</td>\n",
-       "      <td id=\"T_ae02b_row3_col11\" class=\"data row3 col11\" >80.000000</td>\n",
-       "      <td id=\"T_ae02b_row3_col12\" class=\"data row3 col12\" >13</td>\n",
-       "      <td id=\"T_ae02b_row3_col13\" class=\"data row3 col13\" >8</td>\n",
-       "      <td id=\"T_ae02b_row3_col14\" class=\"data row3 col14\" >20</td>\n",
-       "      <td id=\"T_ae02b_row3_col15\" class=\"data row3 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
-       "      <td id=\"T_ae02b_row4_col0\" class=\"data row4 col0\" >27</td>\n",
-       "      <td id=\"T_ae02b_row4_col1\" class=\"data row4 col1\" >f</td>\n",
-       "      <td id=\"T_ae02b_row4_col2\" class=\"data row4 col2\" >74</td>\n",
-       "      <td id=\"T_ae02b_row4_col3\" class=\"data row4 col3\" >60</td>\n",
-       "      <td id=\"T_ae02b_row4_col4\" class=\"data row4 col4\" >65</td>\n",
-       "      <td id=\"T_ae02b_row4_col5\" class=\"data row4 col5\" >62.500000</td>\n",
-       "      <td id=\"T_ae02b_row4_col6\" class=\"data row4 col6\" >68.500000</td>\n",
-       "      <td id=\"T_ae02b_row4_col7\" class=\"data row4 col7\" >49.000000</td>\n",
-       "      <td id=\"T_ae02b_row4_col8\" class=\"data row4 col8\" >61.000000</td>\n",
-       "      <td id=\"T_ae02b_row4_col9\" class=\"data row4 col9\" >49.000000</td>\n",
-       "      <td id=\"T_ae02b_row4_col10\" class=\"data row4 col10\" >65.000000</td>\n",
-       "      <td id=\"T_ae02b_row4_col11\" class=\"data row4 col11\" >49.000000</td>\n",
-       "      <td id=\"T_ae02b_row4_col12\" class=\"data row4 col12\" >13</td>\n",
-       "      <td id=\"T_ae02b_row4_col13\" class=\"data row4 col13\" >9</td>\n",
-       "      <td id=\"T_ae02b_row4_col14\" class=\"data row4 col14\" >12</td>\n",
-       "      <td id=\"T_ae02b_row4_col15\" class=\"data row4 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
-       "      <td id=\"T_ae02b_row5_col0\" class=\"data row5 col0\" >28</td>\n",
-       "      <td id=\"T_ae02b_row5_col1\" class=\"data row5 col1\" >f</td>\n",
-       "      <td id=\"T_ae02b_row5_col2\" class=\"data row5 col2\" >61</td>\n",
-       "      <td id=\"T_ae02b_row5_col3\" class=\"data row5 col3\" >80</td>\n",
-       "      <td id=\"T_ae02b_row5_col4\" class=\"data row5 col4\" >20</td>\n",
-       "      <td id=\"T_ae02b_row5_col5\" class=\"data row5 col5\" >50.000000</td>\n",
-       "      <td id=\"T_ae02b_row5_col6\" class=\"data row5 col6\" >71.000000</td>\n",
-       "      <td id=\"T_ae02b_row5_col7\" class=\"data row5 col7\" >63.000000</td>\n",
-       "      <td id=\"T_ae02b_row5_col8\" class=\"data row5 col8\" >31.000000</td>\n",
-       "      <td id=\"T_ae02b_row5_col9\" class=\"data row5 col9\" >72.500000</td>\n",
-       "      <td id=\"T_ae02b_row5_col10\" class=\"data row5 col10\" >64.500000</td>\n",
-       "      <td id=\"T_ae02b_row5_col11\" class=\"data row5 col11\" >70.500000</td>\n",
-       "      <td id=\"T_ae02b_row5_col12\" class=\"data row5 col12\" >15</td>\n",
-       "      <td id=\"T_ae02b_row5_col13\" class=\"data row5 col13\" >14</td>\n",
-       "      <td id=\"T_ae02b_row5_col14\" class=\"data row5 col14\" >2</td>\n",
-       "      <td id=\"T_ae02b_row5_col15\" class=\"data row5 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
-       "      <td id=\"T_ae02b_row6_col0\" class=\"data row6 col0\" >30</td>\n",
-       "      <td id=\"T_ae02b_row6_col1\" class=\"data row6 col1\" >m</td>\n",
-       "      <td id=\"T_ae02b_row6_col2\" class=\"data row6 col2\" >32</td>\n",
-       "      <td id=\"T_ae02b_row6_col3\" class=\"data row6 col3\" >90</td>\n",
-       "      <td id=\"T_ae02b_row6_col4\" class=\"data row6 col4\" >75</td>\n",
-       "      <td id=\"T_ae02b_row6_col5\" class=\"data row6 col5\" >82.500000</td>\n",
-       "      <td id=\"T_ae02b_row6_col6\" class=\"data row6 col6\" >67.000000</td>\n",
-       "      <td id=\"T_ae02b_row6_col7\" class=\"data row6 col7\" >56.500000</td>\n",
-       "      <td id=\"T_ae02b_row6_col8\" class=\"data row6 col8\" >66.000000</td>\n",
-       "      <td id=\"T_ae02b_row6_col9\" class=\"data row6 col9\" >65.000000</td>\n",
-       "      <td id=\"T_ae02b_row6_col10\" class=\"data row6 col10\" >66.000000</td>\n",
-       "      <td id=\"T_ae02b_row6_col11\" class=\"data row6 col11\" >64.000000</td>\n",
-       "      <td id=\"T_ae02b_row6_col12\" class=\"data row6 col12\" >16</td>\n",
-       "      <td id=\"T_ae02b_row6_col13\" class=\"data row6 col13\" >9</td>\n",
-       "      <td id=\"T_ae02b_row6_col14\" class=\"data row6 col14\" >3</td>\n",
-       "      <td id=\"T_ae02b_row6_col15\" class=\"data row6 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
-       "      <td id=\"T_ae02b_row7_col0\" class=\"data row7 col0\" >33</td>\n",
-       "      <td id=\"T_ae02b_row7_col1\" class=\"data row7 col1\" >m</td>\n",
-       "      <td id=\"T_ae02b_row7_col2\" class=\"data row7 col2\" >62</td>\n",
-       "      <td id=\"T_ae02b_row7_col3\" class=\"data row7 col3\" >45</td>\n",
-       "      <td id=\"T_ae02b_row7_col4\" class=\"data row7 col4\" >90</td>\n",
-       "      <td id=\"T_ae02b_row7_col5\" class=\"data row7 col5\" >67.500000</td>\n",
-       "      <td id=\"T_ae02b_row7_col6\" class=\"data row7 col6\" >54.000000</td>\n",
-       "      <td id=\"T_ae02b_row7_col7\" class=\"data row7 col7\" >37.000000</td>\n",
-       "      <td id=\"T_ae02b_row7_col8\" class=\"data row7 col8\" >65.000000</td>\n",
-       "      <td id=\"T_ae02b_row7_col9\" class=\"data row7 col9\" >81.500000</td>\n",
-       "      <td id=\"T_ae02b_row7_col10\" class=\"data row7 col10\" >62.000000</td>\n",
-       "      <td id=\"T_ae02b_row7_col11\" class=\"data row7 col11\" >61.000000</td>\n",
-       "      <td id=\"T_ae02b_row7_col12\" class=\"data row7 col12\" >14</td>\n",
-       "      <td id=\"T_ae02b_row7_col13\" class=\"data row7 col13\" >9</td>\n",
-       "      <td id=\"T_ae02b_row7_col14\" class=\"data row7 col14\" >9</td>\n",
-       "      <td id=\"T_ae02b_row7_col15\" class=\"data row7 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
-       "      <td id=\"T_ae02b_row8_col0\" class=\"data row8 col0\" >34</td>\n",
-       "      <td id=\"T_ae02b_row8_col1\" class=\"data row8 col1\" >f</td>\n",
-       "      <td id=\"T_ae02b_row8_col2\" class=\"data row8 col2\" >33</td>\n",
-       "      <td id=\"T_ae02b_row8_col3\" class=\"data row8 col3\" >80</td>\n",
-       "      <td id=\"T_ae02b_row8_col4\" class=\"data row8 col4\" >100</td>\n",
-       "      <td id=\"T_ae02b_row8_col5\" class=\"data row8 col5\" >90.000000</td>\n",
-       "      <td id=\"T_ae02b_row8_col6\" class=\"data row8 col6\" >70.500000</td>\n",
-       "      <td id=\"T_ae02b_row8_col7\" class=\"data row8 col7\" >76.500000</td>\n",
-       "      <td id=\"T_ae02b_row8_col8\" class=\"data row8 col8\" >64.500000</td>\n",
-       "      <td id=\"T_ae02b_row8_col9\" class=\"data row8 col9\" >nan</td>\n",
-       "      <td id=\"T_ae02b_row8_col10\" class=\"data row8 col10\" >68.000000</td>\n",
-       "      <td id=\"T_ae02b_row8_col11\" class=\"data row8 col11\" >76.500000</td>\n",
-       "      <td id=\"T_ae02b_row8_col12\" class=\"data row8 col12\" >14</td>\n",
-       "      <td id=\"T_ae02b_row8_col13\" class=\"data row8 col13\" >12</td>\n",
-       "      <td id=\"T_ae02b_row8_col14\" class=\"data row8 col14\" >10</td>\n",
-       "      <td id=\"T_ae02b_row8_col15\" class=\"data row8 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ae02b_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
-       "      <td id=\"T_ae02b_row9_col0\" class=\"data row9 col0\" >35</td>\n",
-       "      <td id=\"T_ae02b_row9_col1\" class=\"data row9 col1\" >f</td>\n",
-       "      <td id=\"T_ae02b_row9_col2\" class=\"data row9 col2\" >53</td>\n",
-       "      <td id=\"T_ae02b_row9_col3\" class=\"data row9 col3\" >100</td>\n",
-       "      <td id=\"T_ae02b_row9_col4\" class=\"data row9 col4\" >50</td>\n",
-       "      <td id=\"T_ae02b_row9_col5\" class=\"data row9 col5\" >75.000000</td>\n",
-       "      <td id=\"T_ae02b_row9_col6\" class=\"data row9 col6\" >74.500000</td>\n",
-       "      <td id=\"T_ae02b_row9_col7\" class=\"data row9 col7\" >nan</td>\n",
-       "      <td id=\"T_ae02b_row9_col8\" class=\"data row9 col8\" >60.500000</td>\n",
-       "      <td id=\"T_ae02b_row9_col9\" class=\"data row9 col9\" >65.000000</td>\n",
-       "      <td id=\"T_ae02b_row9_col10\" class=\"data row9 col10\" >71.000000</td>\n",
-       "      <td id=\"T_ae02b_row9_col11\" class=\"data row9 col11\" >65.000000</td>\n",
-       "      <td id=\"T_ae02b_row9_col12\" class=\"data row9 col12\" >14</td>\n",
-       "      <td id=\"T_ae02b_row9_col13\" class=\"data row9 col13\" >8</td>\n",
-       "      <td id=\"T_ae02b_row9_col14\" class=\"data row9 col14\" >7</td>\n",
-       "      <td id=\"T_ae02b_row9_col15\" class=\"data row9 col15\" >True</td>\n",
+       "      <th id=\"T_4b89a_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+       "      <td id=\"T_4b89a_row0_col0\" class=\"data row0 col0\" >8</td>\n",
+       "      <td id=\"T_4b89a_row0_col1\" class=\"data row0 col1\" >f</td>\n",
+       "      <td id=\"T_4b89a_row0_col2\" class=\"data row0 col2\" >39</td>\n",
+       "      <td id=\"T_4b89a_row0_col3\" class=\"data row0 col3\" >65</td>\n",
+       "      <td id=\"T_4b89a_row0_col4\" class=\"data row0 col4\" >80</td>\n",
+       "      <td id=\"T_4b89a_row0_col5\" class=\"data row0 col5\" >72.500000</td>\n",
+       "      <td id=\"T_4b89a_row0_col6\" class=\"data row0 col6\" >91.000000</td>\n",
+       "      <td id=\"T_4b89a_row0_col7\" class=\"data row0 col7\" >90.000000</td>\n",
+       "      <td id=\"T_4b89a_row0_col8\" class=\"data row0 col8\" >93.000000</td>\n",
+       "      <td id=\"T_4b89a_row0_col9\" class=\"data row0 col9\" >83.500000</td>\n",
+       "      <td id=\"T_4b89a_row0_col10\" class=\"data row0 col10\" >93.000000</td>\n",
+       "      <td id=\"T_4b89a_row0_col11\" class=\"data row0 col11\" >90.000000</td>\n",
+       "      <td id=\"T_4b89a_row0_col12\" class=\"data row0 col12\" >9</td>\n",
+       "      <td id=\"T_4b89a_row0_col13\" class=\"data row0 col13\" >13</td>\n",
+       "      <td id=\"T_4b89a_row0_col14\" class=\"data row0 col14\" >2</td>\n",
+       "      <td id=\"T_4b89a_row0_col15\" class=\"data row0 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+       "      <td id=\"T_4b89a_row1_col0\" class=\"data row1 col0\" >16</td>\n",
+       "      <td id=\"T_4b89a_row1_col1\" class=\"data row1 col1\" >m</td>\n",
+       "      <td id=\"T_4b89a_row1_col2\" class=\"data row1 col2\" >42</td>\n",
+       "      <td id=\"T_4b89a_row1_col3\" class=\"data row1 col3\" >90</td>\n",
+       "      <td id=\"T_4b89a_row1_col4\" class=\"data row1 col4\" >90</td>\n",
+       "      <td id=\"T_4b89a_row1_col5\" class=\"data row1 col5\" >90.000000</td>\n",
+       "      <td id=\"T_4b89a_row1_col6\" class=\"data row1 col6\" >75.500000</td>\n",
+       "      <td id=\"T_4b89a_row1_col7\" class=\"data row1 col7\" >55.500000</td>\n",
+       "      <td id=\"T_4b89a_row1_col8\" class=\"data row1 col8\" >70.500000</td>\n",
+       "      <td id=\"T_4b89a_row1_col9\" class=\"data row1 col9\" >50.000000</td>\n",
+       "      <td id=\"T_4b89a_row1_col10\" class=\"data row1 col10\" >75.000000</td>\n",
+       "      <td id=\"T_4b89a_row1_col11\" class=\"data row1 col11\" >50.000000</td>\n",
+       "      <td id=\"T_4b89a_row1_col12\" class=\"data row1 col12\" >4</td>\n",
+       "      <td id=\"T_4b89a_row1_col13\" class=\"data row1 col13\" >11</td>\n",
+       "      <td id=\"T_4b89a_row1_col14\" class=\"data row1 col14\" >7</td>\n",
+       "      <td id=\"T_4b89a_row1_col15\" class=\"data row1 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+       "      <td id=\"T_4b89a_row2_col0\" class=\"data row2 col0\" >18</td>\n",
+       "      <td id=\"T_4b89a_row2_col1\" class=\"data row2 col1\" >f</td>\n",
+       "      <td id=\"T_4b89a_row2_col2\" class=\"data row2 col2\" >31</td>\n",
+       "      <td id=\"T_4b89a_row2_col3\" class=\"data row2 col3\" >90</td>\n",
+       "      <td id=\"T_4b89a_row2_col4\" class=\"data row2 col4\" >95</td>\n",
+       "      <td id=\"T_4b89a_row2_col5\" class=\"data row2 col5\" >92.500000</td>\n",
+       "      <td id=\"T_4b89a_row2_col6\" class=\"data row2 col6\" >89.500000</td>\n",
+       "      <td id=\"T_4b89a_row2_col7\" class=\"data row2 col7\" >90.000000</td>\n",
+       "      <td id=\"T_4b89a_row2_col8\" class=\"data row2 col8\" >86.000000</td>\n",
+       "      <td id=\"T_4b89a_row2_col9\" class=\"data row2 col9\" >81.000000</td>\n",
+       "      <td id=\"T_4b89a_row2_col10\" class=\"data row2 col10\" >89.000000</td>\n",
+       "      <td id=\"T_4b89a_row2_col11\" class=\"data row2 col11\" >88.000000</td>\n",
+       "      <td id=\"T_4b89a_row2_col12\" class=\"data row2 col12\" >10</td>\n",
+       "      <td id=\"T_4b89a_row2_col13\" class=\"data row2 col13\" >9</td>\n",
+       "      <td id=\"T_4b89a_row2_col14\" class=\"data row2 col14\" >3</td>\n",
+       "      <td id=\"T_4b89a_row2_col15\" class=\"data row2 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+       "      <td id=\"T_4b89a_row3_col0\" class=\"data row3 col0\" >22</td>\n",
+       "      <td id=\"T_4b89a_row3_col1\" class=\"data row3 col1\" >f</td>\n",
+       "      <td id=\"T_4b89a_row3_col2\" class=\"data row3 col2\" >35</td>\n",
+       "      <td id=\"T_4b89a_row3_col3\" class=\"data row3 col3\" >100</td>\n",
+       "      <td id=\"T_4b89a_row3_col4\" class=\"data row3 col4\" >75</td>\n",
+       "      <td id=\"T_4b89a_row3_col5\" class=\"data row3 col5\" >87.500000</td>\n",
+       "      <td id=\"T_4b89a_row3_col6\" class=\"data row3 col6\" >89.500000</td>\n",
+       "      <td id=\"T_4b89a_row3_col7\" class=\"data row3 col7\" >nan</td>\n",
+       "      <td id=\"T_4b89a_row3_col8\" class=\"data row3 col8\" >71.000000</td>\n",
+       "      <td id=\"T_4b89a_row3_col9\" class=\"data row3 col9\" >80.000000</td>\n",
+       "      <td id=\"T_4b89a_row3_col10\" class=\"data row3 col10\" >88.000000</td>\n",
+       "      <td id=\"T_4b89a_row3_col11\" class=\"data row3 col11\" >80.000000</td>\n",
+       "      <td id=\"T_4b89a_row3_col12\" class=\"data row3 col12\" >13</td>\n",
+       "      <td id=\"T_4b89a_row3_col13\" class=\"data row3 col13\" >8</td>\n",
+       "      <td id=\"T_4b89a_row3_col14\" class=\"data row3 col14\" >20</td>\n",
+       "      <td id=\"T_4b89a_row3_col15\" class=\"data row3 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+       "      <td id=\"T_4b89a_row4_col0\" class=\"data row4 col0\" >27</td>\n",
+       "      <td id=\"T_4b89a_row4_col1\" class=\"data row4 col1\" >f</td>\n",
+       "      <td id=\"T_4b89a_row4_col2\" class=\"data row4 col2\" >74</td>\n",
+       "      <td id=\"T_4b89a_row4_col3\" class=\"data row4 col3\" >60</td>\n",
+       "      <td id=\"T_4b89a_row4_col4\" class=\"data row4 col4\" >65</td>\n",
+       "      <td id=\"T_4b89a_row4_col5\" class=\"data row4 col5\" >62.500000</td>\n",
+       "      <td id=\"T_4b89a_row4_col6\" class=\"data row4 col6\" >68.500000</td>\n",
+       "      <td id=\"T_4b89a_row4_col7\" class=\"data row4 col7\" >49.000000</td>\n",
+       "      <td id=\"T_4b89a_row4_col8\" class=\"data row4 col8\" >61.000000</td>\n",
+       "      <td id=\"T_4b89a_row4_col9\" class=\"data row4 col9\" >49.000000</td>\n",
+       "      <td id=\"T_4b89a_row4_col10\" class=\"data row4 col10\" >65.000000</td>\n",
+       "      <td id=\"T_4b89a_row4_col11\" class=\"data row4 col11\" >49.000000</td>\n",
+       "      <td id=\"T_4b89a_row4_col12\" class=\"data row4 col12\" >13</td>\n",
+       "      <td id=\"T_4b89a_row4_col13\" class=\"data row4 col13\" >9</td>\n",
+       "      <td id=\"T_4b89a_row4_col14\" class=\"data row4 col14\" >12</td>\n",
+       "      <td id=\"T_4b89a_row4_col15\" class=\"data row4 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
+       "      <td id=\"T_4b89a_row5_col0\" class=\"data row5 col0\" >28</td>\n",
+       "      <td id=\"T_4b89a_row5_col1\" class=\"data row5 col1\" >f</td>\n",
+       "      <td id=\"T_4b89a_row5_col2\" class=\"data row5 col2\" >61</td>\n",
+       "      <td id=\"T_4b89a_row5_col3\" class=\"data row5 col3\" >80</td>\n",
+       "      <td id=\"T_4b89a_row5_col4\" class=\"data row5 col4\" >20</td>\n",
+       "      <td id=\"T_4b89a_row5_col5\" class=\"data row5 col5\" >50.000000</td>\n",
+       "      <td id=\"T_4b89a_row5_col6\" class=\"data row5 col6\" >71.000000</td>\n",
+       "      <td id=\"T_4b89a_row5_col7\" class=\"data row5 col7\" >63.000000</td>\n",
+       "      <td id=\"T_4b89a_row5_col8\" class=\"data row5 col8\" >31.000000</td>\n",
+       "      <td id=\"T_4b89a_row5_col9\" class=\"data row5 col9\" >72.500000</td>\n",
+       "      <td id=\"T_4b89a_row5_col10\" class=\"data row5 col10\" >64.500000</td>\n",
+       "      <td id=\"T_4b89a_row5_col11\" class=\"data row5 col11\" >70.500000</td>\n",
+       "      <td id=\"T_4b89a_row5_col12\" class=\"data row5 col12\" >15</td>\n",
+       "      <td id=\"T_4b89a_row5_col13\" class=\"data row5 col13\" >14</td>\n",
+       "      <td id=\"T_4b89a_row5_col14\" class=\"data row5 col14\" >2</td>\n",
+       "      <td id=\"T_4b89a_row5_col15\" class=\"data row5 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
+       "      <td id=\"T_4b89a_row6_col0\" class=\"data row6 col0\" >30</td>\n",
+       "      <td id=\"T_4b89a_row6_col1\" class=\"data row6 col1\" >m</td>\n",
+       "      <td id=\"T_4b89a_row6_col2\" class=\"data row6 col2\" >32</td>\n",
+       "      <td id=\"T_4b89a_row6_col3\" class=\"data row6 col3\" >90</td>\n",
+       "      <td id=\"T_4b89a_row6_col4\" class=\"data row6 col4\" >75</td>\n",
+       "      <td id=\"T_4b89a_row6_col5\" class=\"data row6 col5\" >82.500000</td>\n",
+       "      <td id=\"T_4b89a_row6_col6\" class=\"data row6 col6\" >67.000000</td>\n",
+       "      <td id=\"T_4b89a_row6_col7\" class=\"data row6 col7\" >56.500000</td>\n",
+       "      <td id=\"T_4b89a_row6_col8\" class=\"data row6 col8\" >66.000000</td>\n",
+       "      <td id=\"T_4b89a_row6_col9\" class=\"data row6 col9\" >65.000000</td>\n",
+       "      <td id=\"T_4b89a_row6_col10\" class=\"data row6 col10\" >66.000000</td>\n",
+       "      <td id=\"T_4b89a_row6_col11\" class=\"data row6 col11\" >64.000000</td>\n",
+       "      <td id=\"T_4b89a_row6_col12\" class=\"data row6 col12\" >16</td>\n",
+       "      <td id=\"T_4b89a_row6_col13\" class=\"data row6 col13\" >9</td>\n",
+       "      <td id=\"T_4b89a_row6_col14\" class=\"data row6 col14\" >3</td>\n",
+       "      <td id=\"T_4b89a_row6_col15\" class=\"data row6 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
+       "      <td id=\"T_4b89a_row7_col0\" class=\"data row7 col0\" >33</td>\n",
+       "      <td id=\"T_4b89a_row7_col1\" class=\"data row7 col1\" >m</td>\n",
+       "      <td id=\"T_4b89a_row7_col2\" class=\"data row7 col2\" >62</td>\n",
+       "      <td id=\"T_4b89a_row7_col3\" class=\"data row7 col3\" >45</td>\n",
+       "      <td id=\"T_4b89a_row7_col4\" class=\"data row7 col4\" >90</td>\n",
+       "      <td id=\"T_4b89a_row7_col5\" class=\"data row7 col5\" >67.500000</td>\n",
+       "      <td id=\"T_4b89a_row7_col6\" class=\"data row7 col6\" >54.000000</td>\n",
+       "      <td id=\"T_4b89a_row7_col7\" class=\"data row7 col7\" >37.000000</td>\n",
+       "      <td id=\"T_4b89a_row7_col8\" class=\"data row7 col8\" >65.000000</td>\n",
+       "      <td id=\"T_4b89a_row7_col9\" class=\"data row7 col9\" >81.500000</td>\n",
+       "      <td id=\"T_4b89a_row7_col10\" class=\"data row7 col10\" >62.000000</td>\n",
+       "      <td id=\"T_4b89a_row7_col11\" class=\"data row7 col11\" >61.000000</td>\n",
+       "      <td id=\"T_4b89a_row7_col12\" class=\"data row7 col12\" >14</td>\n",
+       "      <td id=\"T_4b89a_row7_col13\" class=\"data row7 col13\" >9</td>\n",
+       "      <td id=\"T_4b89a_row7_col14\" class=\"data row7 col14\" >9</td>\n",
+       "      <td id=\"T_4b89a_row7_col15\" class=\"data row7 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
+       "      <td id=\"T_4b89a_row8_col0\" class=\"data row8 col0\" >34</td>\n",
+       "      <td id=\"T_4b89a_row8_col1\" class=\"data row8 col1\" >f</td>\n",
+       "      <td id=\"T_4b89a_row8_col2\" class=\"data row8 col2\" >33</td>\n",
+       "      <td id=\"T_4b89a_row8_col3\" class=\"data row8 col3\" >80</td>\n",
+       "      <td id=\"T_4b89a_row8_col4\" class=\"data row8 col4\" >100</td>\n",
+       "      <td id=\"T_4b89a_row8_col5\" class=\"data row8 col5\" >90.000000</td>\n",
+       "      <td id=\"T_4b89a_row8_col6\" class=\"data row8 col6\" >70.500000</td>\n",
+       "      <td id=\"T_4b89a_row8_col7\" class=\"data row8 col7\" >76.500000</td>\n",
+       "      <td id=\"T_4b89a_row8_col8\" class=\"data row8 col8\" >64.500000</td>\n",
+       "      <td id=\"T_4b89a_row8_col9\" class=\"data row8 col9\" >nan</td>\n",
+       "      <td id=\"T_4b89a_row8_col10\" class=\"data row8 col10\" >68.000000</td>\n",
+       "      <td id=\"T_4b89a_row8_col11\" class=\"data row8 col11\" >76.500000</td>\n",
+       "      <td id=\"T_4b89a_row8_col12\" class=\"data row8 col12\" >14</td>\n",
+       "      <td id=\"T_4b89a_row8_col13\" class=\"data row8 col13\" >12</td>\n",
+       "      <td id=\"T_4b89a_row8_col14\" class=\"data row8 col14\" >10</td>\n",
+       "      <td id=\"T_4b89a_row8_col15\" class=\"data row8 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_4b89a_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
+       "      <td id=\"T_4b89a_row9_col0\" class=\"data row9 col0\" >35</td>\n",
+       "      <td id=\"T_4b89a_row9_col1\" class=\"data row9 col1\" >f</td>\n",
+       "      <td id=\"T_4b89a_row9_col2\" class=\"data row9 col2\" >53</td>\n",
+       "      <td id=\"T_4b89a_row9_col3\" class=\"data row9 col3\" >100</td>\n",
+       "      <td id=\"T_4b89a_row9_col4\" class=\"data row9 col4\" >50</td>\n",
+       "      <td id=\"T_4b89a_row9_col5\" class=\"data row9 col5\" >75.000000</td>\n",
+       "      <td id=\"T_4b89a_row9_col6\" class=\"data row9 col6\" >74.500000</td>\n",
+       "      <td id=\"T_4b89a_row9_col7\" class=\"data row9 col7\" >nan</td>\n",
+       "      <td id=\"T_4b89a_row9_col8\" class=\"data row9 col8\" >60.500000</td>\n",
+       "      <td id=\"T_4b89a_row9_col9\" class=\"data row9 col9\" >65.000000</td>\n",
+       "      <td id=\"T_4b89a_row9_col10\" class=\"data row9 col10\" >71.000000</td>\n",
+       "      <td id=\"T_4b89a_row9_col11\" class=\"data row9 col11\" >65.000000</td>\n",
+       "      <td id=\"T_4b89a_row9_col12\" class=\"data row9 col12\" >14</td>\n",
+       "      <td id=\"T_4b89a_row9_col13\" class=\"data row9 col13\" >8</td>\n",
+       "      <td id=\"T_4b89a_row9_col14\" class=\"data row9 col14\" >7</td>\n",
+       "      <td id=\"T_4b89a_row9_col15\" class=\"data row9 col15\" >True</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x16a77c610>"
+       "<pandas.io.formats.style.Styler at 0x169764290>"
       ]
      },
      "execution_count": 25,
@@ -2913,261 +2913,261 @@
      "data": {
       "text/html": [
        "<style type=\"text/css\">\n",
-       "#T_1f587_row0_col5 {\n",
+       "#T_cc820_row0_col5 {\n",
        "  background-color: #f85f43;\n",
        "  color: #f1f1f1;\n",
        "}\n",
-       "#T_1f587_row1_col5, #T_1f587_row8_col5 {\n",
+       "#T_cc820_row1_col5, #T_cc820_row8_col5 {\n",
        "  background-color: #840711;\n",
        "  color: #f1f1f1;\n",
        "}\n",
-       "#T_1f587_row2_col5 {\n",
+       "#T_cc820_row2_col5 {\n",
        "  background-color: #67000d;\n",
        "  color: #f1f1f1;\n",
        "}\n",
-       "#T_1f587_row3_col5 {\n",
+       "#T_cc820_row3_col5 {\n",
        "  background-color: #a10e15;\n",
        "  color: #f1f1f1;\n",
        "}\n",
-       "#T_1f587_row4_col5 {\n",
+       "#T_cc820_row4_col5 {\n",
        "  background-color: #fcad90;\n",
        "  color: #000000;\n",
        "}\n",
-       "#T_1f587_row5_col5 {\n",
+       "#T_cc820_row5_col5 {\n",
        "  background-color: #fff5f0;\n",
        "  color: #000000;\n",
        "}\n",
-       "#T_1f587_row6_col5 {\n",
+       "#T_cc820_row6_col5 {\n",
        "  background-color: #c7171c;\n",
        "  color: #f1f1f1;\n",
        "}\n",
-       "#T_1f587_row7_col5 {\n",
+       "#T_cc820_row7_col5 {\n",
        "  background-color: #fc8666;\n",
        "  color: #f1f1f1;\n",
        "}\n",
-       "#T_1f587_row9_col5 {\n",
+       "#T_cc820_row9_col5 {\n",
        "  background-color: #f34935;\n",
        "  color: #f1f1f1;\n",
        "}\n",
        "</style>\n",
-       "<table id=\"T_1f587\">\n",
+       "<table id=\"T_cc820\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_1f587_level0_col0\" class=\"col_heading level0 col0\" >participant number</th>\n",
-       "      <th id=\"T_1f587_level0_col1\" class=\"col_heading level0 col1\" >gender</th>\n",
-       "      <th id=\"T_1f587_level0_col2\" class=\"col_heading level0 col2\" >age</th>\n",
-       "      <th id=\"T_1f587_level0_col3\" class=\"col_heading level0 col3\" >correct hit percentage</th>\n",
-       "      <th id=\"T_1f587_level0_col4\" class=\"col_heading level0 col4\" >correct reject percentage</th>\n",
-       "      <th id=\"T_1f587_level0_col5\" class=\"col_heading level0 col5\" >percent correct</th>\n",
-       "      <th id=\"T_1f587_level0_col6\" class=\"col_heading level0 col6\" >confidence when correct hit</th>\n",
-       "      <th id=\"T_1f587_level0_col7\" class=\"col_heading level0 col7\" >confidence when incorrect hit</th>\n",
-       "      <th id=\"T_1f587_level0_col8\" class=\"col_heading level0 col8\" >confidence when correct reject</th>\n",
-       "      <th id=\"T_1f587_level0_col9\" class=\"col_heading level0 col9\" >confidence when incorrect reject</th>\n",
-       "      <th id=\"T_1f587_level0_col10\" class=\"col_heading level0 col10\" >confidence when correct</th>\n",
-       "      <th id=\"T_1f587_level0_col11\" class=\"col_heading level0 col11\" >confidence when incorrect</th>\n",
-       "      <th id=\"T_1f587_level0_col12\" class=\"col_heading level0 col12\" >sci</th>\n",
-       "      <th id=\"T_1f587_level0_col13\" class=\"col_heading level0 col13\" >psqi</th>\n",
-       "      <th id=\"T_1f587_level0_col14\" class=\"col_heading level0 col14\" >ess</th>\n",
-       "      <th id=\"T_1f587_level0_col15\" class=\"col_heading level0 col15\" >insomnia</th>\n",
+       "      <th id=\"T_cc820_level0_col0\" class=\"col_heading level0 col0\" >participant number</th>\n",
+       "      <th id=\"T_cc820_level0_col1\" class=\"col_heading level0 col1\" >gender</th>\n",
+       "      <th id=\"T_cc820_level0_col2\" class=\"col_heading level0 col2\" >age</th>\n",
+       "      <th id=\"T_cc820_level0_col3\" class=\"col_heading level0 col3\" >correct hit percentage</th>\n",
+       "      <th id=\"T_cc820_level0_col4\" class=\"col_heading level0 col4\" >correct reject percentage</th>\n",
+       "      <th id=\"T_cc820_level0_col5\" class=\"col_heading level0 col5\" >percent correct</th>\n",
+       "      <th id=\"T_cc820_level0_col6\" class=\"col_heading level0 col6\" >confidence when correct hit</th>\n",
+       "      <th id=\"T_cc820_level0_col7\" class=\"col_heading level0 col7\" >confidence when incorrect hit</th>\n",
+       "      <th id=\"T_cc820_level0_col8\" class=\"col_heading level0 col8\" >confidence when correct reject</th>\n",
+       "      <th id=\"T_cc820_level0_col9\" class=\"col_heading level0 col9\" >confidence when incorrect reject</th>\n",
+       "      <th id=\"T_cc820_level0_col10\" class=\"col_heading level0 col10\" >confidence when correct</th>\n",
+       "      <th id=\"T_cc820_level0_col11\" class=\"col_heading level0 col11\" >confidence when incorrect</th>\n",
+       "      <th id=\"T_cc820_level0_col12\" class=\"col_heading level0 col12\" >sci</th>\n",
+       "      <th id=\"T_cc820_level0_col13\" class=\"col_heading level0 col13\" >psqi</th>\n",
+       "      <th id=\"T_cc820_level0_col14\" class=\"col_heading level0 col14\" >ess</th>\n",
+       "      <th id=\"T_cc820_level0_col15\" class=\"col_heading level0 col15\" >insomnia</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
-       "      <td id=\"T_1f587_row0_col0\" class=\"data row0 col0\" >8</td>\n",
-       "      <td id=\"T_1f587_row0_col1\" class=\"data row0 col1\" >f</td>\n",
-       "      <td id=\"T_1f587_row0_col2\" class=\"data row0 col2\" >39</td>\n",
-       "      <td id=\"T_1f587_row0_col3\" class=\"data row0 col3\" >65</td>\n",
-       "      <td id=\"T_1f587_row0_col4\" class=\"data row0 col4\" >80</td>\n",
-       "      <td id=\"T_1f587_row0_col5\" class=\"data row0 col5\" >72.500000</td>\n",
-       "      <td id=\"T_1f587_row0_col6\" class=\"data row0 col6\" >91.000000</td>\n",
-       "      <td id=\"T_1f587_row0_col7\" class=\"data row0 col7\" >90.000000</td>\n",
-       "      <td id=\"T_1f587_row0_col8\" class=\"data row0 col8\" >93.000000</td>\n",
-       "      <td id=\"T_1f587_row0_col9\" class=\"data row0 col9\" >83.500000</td>\n",
-       "      <td id=\"T_1f587_row0_col10\" class=\"data row0 col10\" >93.000000</td>\n",
-       "      <td id=\"T_1f587_row0_col11\" class=\"data row0 col11\" >90.000000</td>\n",
-       "      <td id=\"T_1f587_row0_col12\" class=\"data row0 col12\" >9</td>\n",
-       "      <td id=\"T_1f587_row0_col13\" class=\"data row0 col13\" >13</td>\n",
-       "      <td id=\"T_1f587_row0_col14\" class=\"data row0 col14\" >2</td>\n",
-       "      <td id=\"T_1f587_row0_col15\" class=\"data row0 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
-       "      <td id=\"T_1f587_row1_col0\" class=\"data row1 col0\" >16</td>\n",
-       "      <td id=\"T_1f587_row1_col1\" class=\"data row1 col1\" >m</td>\n",
-       "      <td id=\"T_1f587_row1_col2\" class=\"data row1 col2\" >42</td>\n",
-       "      <td id=\"T_1f587_row1_col3\" class=\"data row1 col3\" >90</td>\n",
-       "      <td id=\"T_1f587_row1_col4\" class=\"data row1 col4\" >90</td>\n",
-       "      <td id=\"T_1f587_row1_col5\" class=\"data row1 col5\" >90.000000</td>\n",
-       "      <td id=\"T_1f587_row1_col6\" class=\"data row1 col6\" >75.500000</td>\n",
-       "      <td id=\"T_1f587_row1_col7\" class=\"data row1 col7\" >55.500000</td>\n",
-       "      <td id=\"T_1f587_row1_col8\" class=\"data row1 col8\" >70.500000</td>\n",
-       "      <td id=\"T_1f587_row1_col9\" class=\"data row1 col9\" >50.000000</td>\n",
-       "      <td id=\"T_1f587_row1_col10\" class=\"data row1 col10\" >75.000000</td>\n",
-       "      <td id=\"T_1f587_row1_col11\" class=\"data row1 col11\" >50.000000</td>\n",
-       "      <td id=\"T_1f587_row1_col12\" class=\"data row1 col12\" >4</td>\n",
-       "      <td id=\"T_1f587_row1_col13\" class=\"data row1 col13\" >11</td>\n",
-       "      <td id=\"T_1f587_row1_col14\" class=\"data row1 col14\" >7</td>\n",
-       "      <td id=\"T_1f587_row1_col15\" class=\"data row1 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
-       "      <td id=\"T_1f587_row2_col0\" class=\"data row2 col0\" >18</td>\n",
-       "      <td id=\"T_1f587_row2_col1\" class=\"data row2 col1\" >f</td>\n",
-       "      <td id=\"T_1f587_row2_col2\" class=\"data row2 col2\" >31</td>\n",
-       "      <td id=\"T_1f587_row2_col3\" class=\"data row2 col3\" >90</td>\n",
-       "      <td id=\"T_1f587_row2_col4\" class=\"data row2 col4\" >95</td>\n",
-       "      <td id=\"T_1f587_row2_col5\" class=\"data row2 col5\" >92.500000</td>\n",
-       "      <td id=\"T_1f587_row2_col6\" class=\"data row2 col6\" >89.500000</td>\n",
-       "      <td id=\"T_1f587_row2_col7\" class=\"data row2 col7\" >90.000000</td>\n",
-       "      <td id=\"T_1f587_row2_col8\" class=\"data row2 col8\" >86.000000</td>\n",
-       "      <td id=\"T_1f587_row2_col9\" class=\"data row2 col9\" >81.000000</td>\n",
-       "      <td id=\"T_1f587_row2_col10\" class=\"data row2 col10\" >89.000000</td>\n",
-       "      <td id=\"T_1f587_row2_col11\" class=\"data row2 col11\" >88.000000</td>\n",
-       "      <td id=\"T_1f587_row2_col12\" class=\"data row2 col12\" >10</td>\n",
-       "      <td id=\"T_1f587_row2_col13\" class=\"data row2 col13\" >9</td>\n",
-       "      <td id=\"T_1f587_row2_col14\" class=\"data row2 col14\" >3</td>\n",
-       "      <td id=\"T_1f587_row2_col15\" class=\"data row2 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
-       "      <td id=\"T_1f587_row3_col0\" class=\"data row3 col0\" >22</td>\n",
-       "      <td id=\"T_1f587_row3_col1\" class=\"data row3 col1\" >f</td>\n",
-       "      <td id=\"T_1f587_row3_col2\" class=\"data row3 col2\" >35</td>\n",
-       "      <td id=\"T_1f587_row3_col3\" class=\"data row3 col3\" >100</td>\n",
-       "      <td id=\"T_1f587_row3_col4\" class=\"data row3 col4\" >75</td>\n",
-       "      <td id=\"T_1f587_row3_col5\" class=\"data row3 col5\" >87.500000</td>\n",
-       "      <td id=\"T_1f587_row3_col6\" class=\"data row3 col6\" >89.500000</td>\n",
-       "      <td id=\"T_1f587_row3_col7\" class=\"data row3 col7\" >nan</td>\n",
-       "      <td id=\"T_1f587_row3_col8\" class=\"data row3 col8\" >71.000000</td>\n",
-       "      <td id=\"T_1f587_row3_col9\" class=\"data row3 col9\" >80.000000</td>\n",
-       "      <td id=\"T_1f587_row3_col10\" class=\"data row3 col10\" >88.000000</td>\n",
-       "      <td id=\"T_1f587_row3_col11\" class=\"data row3 col11\" >80.000000</td>\n",
-       "      <td id=\"T_1f587_row3_col12\" class=\"data row3 col12\" >13</td>\n",
-       "      <td id=\"T_1f587_row3_col13\" class=\"data row3 col13\" >8</td>\n",
-       "      <td id=\"T_1f587_row3_col14\" class=\"data row3 col14\" >20</td>\n",
-       "      <td id=\"T_1f587_row3_col15\" class=\"data row3 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
-       "      <td id=\"T_1f587_row4_col0\" class=\"data row4 col0\" >27</td>\n",
-       "      <td id=\"T_1f587_row4_col1\" class=\"data row4 col1\" >f</td>\n",
-       "      <td id=\"T_1f587_row4_col2\" class=\"data row4 col2\" >74</td>\n",
-       "      <td id=\"T_1f587_row4_col3\" class=\"data row4 col3\" >60</td>\n",
-       "      <td id=\"T_1f587_row4_col4\" class=\"data row4 col4\" >65</td>\n",
-       "      <td id=\"T_1f587_row4_col5\" class=\"data row4 col5\" >62.500000</td>\n",
-       "      <td id=\"T_1f587_row4_col6\" class=\"data row4 col6\" >68.500000</td>\n",
-       "      <td id=\"T_1f587_row4_col7\" class=\"data row4 col7\" >49.000000</td>\n",
-       "      <td id=\"T_1f587_row4_col8\" class=\"data row4 col8\" >61.000000</td>\n",
-       "      <td id=\"T_1f587_row4_col9\" class=\"data row4 col9\" >49.000000</td>\n",
-       "      <td id=\"T_1f587_row4_col10\" class=\"data row4 col10\" >65.000000</td>\n",
-       "      <td id=\"T_1f587_row4_col11\" class=\"data row4 col11\" >49.000000</td>\n",
-       "      <td id=\"T_1f587_row4_col12\" class=\"data row4 col12\" >13</td>\n",
-       "      <td id=\"T_1f587_row4_col13\" class=\"data row4 col13\" >9</td>\n",
-       "      <td id=\"T_1f587_row4_col14\" class=\"data row4 col14\" >12</td>\n",
-       "      <td id=\"T_1f587_row4_col15\" class=\"data row4 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
-       "      <td id=\"T_1f587_row5_col0\" class=\"data row5 col0\" >28</td>\n",
-       "      <td id=\"T_1f587_row5_col1\" class=\"data row5 col1\" >f</td>\n",
-       "      <td id=\"T_1f587_row5_col2\" class=\"data row5 col2\" >61</td>\n",
-       "      <td id=\"T_1f587_row5_col3\" class=\"data row5 col3\" >80</td>\n",
-       "      <td id=\"T_1f587_row5_col4\" class=\"data row5 col4\" >20</td>\n",
-       "      <td id=\"T_1f587_row5_col5\" class=\"data row5 col5\" >50.000000</td>\n",
-       "      <td id=\"T_1f587_row5_col6\" class=\"data row5 col6\" >71.000000</td>\n",
-       "      <td id=\"T_1f587_row5_col7\" class=\"data row5 col7\" >63.000000</td>\n",
-       "      <td id=\"T_1f587_row5_col8\" class=\"data row5 col8\" >31.000000</td>\n",
-       "      <td id=\"T_1f587_row5_col9\" class=\"data row5 col9\" >72.500000</td>\n",
-       "      <td id=\"T_1f587_row5_col10\" class=\"data row5 col10\" >64.500000</td>\n",
-       "      <td id=\"T_1f587_row5_col11\" class=\"data row5 col11\" >70.500000</td>\n",
-       "      <td id=\"T_1f587_row5_col12\" class=\"data row5 col12\" >15</td>\n",
-       "      <td id=\"T_1f587_row5_col13\" class=\"data row5 col13\" >14</td>\n",
-       "      <td id=\"T_1f587_row5_col14\" class=\"data row5 col14\" >2</td>\n",
-       "      <td id=\"T_1f587_row5_col15\" class=\"data row5 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
-       "      <td id=\"T_1f587_row6_col0\" class=\"data row6 col0\" >30</td>\n",
-       "      <td id=\"T_1f587_row6_col1\" class=\"data row6 col1\" >m</td>\n",
-       "      <td id=\"T_1f587_row6_col2\" class=\"data row6 col2\" >32</td>\n",
-       "      <td id=\"T_1f587_row6_col3\" class=\"data row6 col3\" >90</td>\n",
-       "      <td id=\"T_1f587_row6_col4\" class=\"data row6 col4\" >75</td>\n",
-       "      <td id=\"T_1f587_row6_col5\" class=\"data row6 col5\" >82.500000</td>\n",
-       "      <td id=\"T_1f587_row6_col6\" class=\"data row6 col6\" >67.000000</td>\n",
-       "      <td id=\"T_1f587_row6_col7\" class=\"data row6 col7\" >56.500000</td>\n",
-       "      <td id=\"T_1f587_row6_col8\" class=\"data row6 col8\" >66.000000</td>\n",
-       "      <td id=\"T_1f587_row6_col9\" class=\"data row6 col9\" >65.000000</td>\n",
-       "      <td id=\"T_1f587_row6_col10\" class=\"data row6 col10\" >66.000000</td>\n",
-       "      <td id=\"T_1f587_row6_col11\" class=\"data row6 col11\" >64.000000</td>\n",
-       "      <td id=\"T_1f587_row6_col12\" class=\"data row6 col12\" >16</td>\n",
-       "      <td id=\"T_1f587_row6_col13\" class=\"data row6 col13\" >9</td>\n",
-       "      <td id=\"T_1f587_row6_col14\" class=\"data row6 col14\" >3</td>\n",
-       "      <td id=\"T_1f587_row6_col15\" class=\"data row6 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
-       "      <td id=\"T_1f587_row7_col0\" class=\"data row7 col0\" >33</td>\n",
-       "      <td id=\"T_1f587_row7_col1\" class=\"data row7 col1\" >m</td>\n",
-       "      <td id=\"T_1f587_row7_col2\" class=\"data row7 col2\" >62</td>\n",
-       "      <td id=\"T_1f587_row7_col3\" class=\"data row7 col3\" >45</td>\n",
-       "      <td id=\"T_1f587_row7_col4\" class=\"data row7 col4\" >90</td>\n",
-       "      <td id=\"T_1f587_row7_col5\" class=\"data row7 col5\" >67.500000</td>\n",
-       "      <td id=\"T_1f587_row7_col6\" class=\"data row7 col6\" >54.000000</td>\n",
-       "      <td id=\"T_1f587_row7_col7\" class=\"data row7 col7\" >37.000000</td>\n",
-       "      <td id=\"T_1f587_row7_col8\" class=\"data row7 col8\" >65.000000</td>\n",
-       "      <td id=\"T_1f587_row7_col9\" class=\"data row7 col9\" >81.500000</td>\n",
-       "      <td id=\"T_1f587_row7_col10\" class=\"data row7 col10\" >62.000000</td>\n",
-       "      <td id=\"T_1f587_row7_col11\" class=\"data row7 col11\" >61.000000</td>\n",
-       "      <td id=\"T_1f587_row7_col12\" class=\"data row7 col12\" >14</td>\n",
-       "      <td id=\"T_1f587_row7_col13\" class=\"data row7 col13\" >9</td>\n",
-       "      <td id=\"T_1f587_row7_col14\" class=\"data row7 col14\" >9</td>\n",
-       "      <td id=\"T_1f587_row7_col15\" class=\"data row7 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
-       "      <td id=\"T_1f587_row8_col0\" class=\"data row8 col0\" >34</td>\n",
-       "      <td id=\"T_1f587_row8_col1\" class=\"data row8 col1\" >f</td>\n",
-       "      <td id=\"T_1f587_row8_col2\" class=\"data row8 col2\" >33</td>\n",
-       "      <td id=\"T_1f587_row8_col3\" class=\"data row8 col3\" >80</td>\n",
-       "      <td id=\"T_1f587_row8_col4\" class=\"data row8 col4\" >100</td>\n",
-       "      <td id=\"T_1f587_row8_col5\" class=\"data row8 col5\" >90.000000</td>\n",
-       "      <td id=\"T_1f587_row8_col6\" class=\"data row8 col6\" >70.500000</td>\n",
-       "      <td id=\"T_1f587_row8_col7\" class=\"data row8 col7\" >76.500000</td>\n",
-       "      <td id=\"T_1f587_row8_col8\" class=\"data row8 col8\" >64.500000</td>\n",
-       "      <td id=\"T_1f587_row8_col9\" class=\"data row8 col9\" >nan</td>\n",
-       "      <td id=\"T_1f587_row8_col10\" class=\"data row8 col10\" >68.000000</td>\n",
-       "      <td id=\"T_1f587_row8_col11\" class=\"data row8 col11\" >76.500000</td>\n",
-       "      <td id=\"T_1f587_row8_col12\" class=\"data row8 col12\" >14</td>\n",
-       "      <td id=\"T_1f587_row8_col13\" class=\"data row8 col13\" >12</td>\n",
-       "      <td id=\"T_1f587_row8_col14\" class=\"data row8 col14\" >10</td>\n",
-       "      <td id=\"T_1f587_row8_col15\" class=\"data row8 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_1f587_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
-       "      <td id=\"T_1f587_row9_col0\" class=\"data row9 col0\" >35</td>\n",
-       "      <td id=\"T_1f587_row9_col1\" class=\"data row9 col1\" >f</td>\n",
-       "      <td id=\"T_1f587_row9_col2\" class=\"data row9 col2\" >53</td>\n",
-       "      <td id=\"T_1f587_row9_col3\" class=\"data row9 col3\" >100</td>\n",
-       "      <td id=\"T_1f587_row9_col4\" class=\"data row9 col4\" >50</td>\n",
-       "      <td id=\"T_1f587_row9_col5\" class=\"data row9 col5\" >75.000000</td>\n",
-       "      <td id=\"T_1f587_row9_col6\" class=\"data row9 col6\" >74.500000</td>\n",
-       "      <td id=\"T_1f587_row9_col7\" class=\"data row9 col7\" >nan</td>\n",
-       "      <td id=\"T_1f587_row9_col8\" class=\"data row9 col8\" >60.500000</td>\n",
-       "      <td id=\"T_1f587_row9_col9\" class=\"data row9 col9\" >65.000000</td>\n",
-       "      <td id=\"T_1f587_row9_col10\" class=\"data row9 col10\" >71.000000</td>\n",
-       "      <td id=\"T_1f587_row9_col11\" class=\"data row9 col11\" >65.000000</td>\n",
-       "      <td id=\"T_1f587_row9_col12\" class=\"data row9 col12\" >14</td>\n",
-       "      <td id=\"T_1f587_row9_col13\" class=\"data row9 col13\" >8</td>\n",
-       "      <td id=\"T_1f587_row9_col14\" class=\"data row9 col14\" >7</td>\n",
-       "      <td id=\"T_1f587_row9_col15\" class=\"data row9 col15\" >True</td>\n",
+       "      <th id=\"T_cc820_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+       "      <td id=\"T_cc820_row0_col0\" class=\"data row0 col0\" >8</td>\n",
+       "      <td id=\"T_cc820_row0_col1\" class=\"data row0 col1\" >f</td>\n",
+       "      <td id=\"T_cc820_row0_col2\" class=\"data row0 col2\" >39</td>\n",
+       "      <td id=\"T_cc820_row0_col3\" class=\"data row0 col3\" >65</td>\n",
+       "      <td id=\"T_cc820_row0_col4\" class=\"data row0 col4\" >80</td>\n",
+       "      <td id=\"T_cc820_row0_col5\" class=\"data row0 col5\" >72.500000</td>\n",
+       "      <td id=\"T_cc820_row0_col6\" class=\"data row0 col6\" >91.000000</td>\n",
+       "      <td id=\"T_cc820_row0_col7\" class=\"data row0 col7\" >90.000000</td>\n",
+       "      <td id=\"T_cc820_row0_col8\" class=\"data row0 col8\" >93.000000</td>\n",
+       "      <td id=\"T_cc820_row0_col9\" class=\"data row0 col9\" >83.500000</td>\n",
+       "      <td id=\"T_cc820_row0_col10\" class=\"data row0 col10\" >93.000000</td>\n",
+       "      <td id=\"T_cc820_row0_col11\" class=\"data row0 col11\" >90.000000</td>\n",
+       "      <td id=\"T_cc820_row0_col12\" class=\"data row0 col12\" >9</td>\n",
+       "      <td id=\"T_cc820_row0_col13\" class=\"data row0 col13\" >13</td>\n",
+       "      <td id=\"T_cc820_row0_col14\" class=\"data row0 col14\" >2</td>\n",
+       "      <td id=\"T_cc820_row0_col15\" class=\"data row0 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+       "      <td id=\"T_cc820_row1_col0\" class=\"data row1 col0\" >16</td>\n",
+       "      <td id=\"T_cc820_row1_col1\" class=\"data row1 col1\" >m</td>\n",
+       "      <td id=\"T_cc820_row1_col2\" class=\"data row1 col2\" >42</td>\n",
+       "      <td id=\"T_cc820_row1_col3\" class=\"data row1 col3\" >90</td>\n",
+       "      <td id=\"T_cc820_row1_col4\" class=\"data row1 col4\" >90</td>\n",
+       "      <td id=\"T_cc820_row1_col5\" class=\"data row1 col5\" >90.000000</td>\n",
+       "      <td id=\"T_cc820_row1_col6\" class=\"data row1 col6\" >75.500000</td>\n",
+       "      <td id=\"T_cc820_row1_col7\" class=\"data row1 col7\" >55.500000</td>\n",
+       "      <td id=\"T_cc820_row1_col8\" class=\"data row1 col8\" >70.500000</td>\n",
+       "      <td id=\"T_cc820_row1_col9\" class=\"data row1 col9\" >50.000000</td>\n",
+       "      <td id=\"T_cc820_row1_col10\" class=\"data row1 col10\" >75.000000</td>\n",
+       "      <td id=\"T_cc820_row1_col11\" class=\"data row1 col11\" >50.000000</td>\n",
+       "      <td id=\"T_cc820_row1_col12\" class=\"data row1 col12\" >4</td>\n",
+       "      <td id=\"T_cc820_row1_col13\" class=\"data row1 col13\" >11</td>\n",
+       "      <td id=\"T_cc820_row1_col14\" class=\"data row1 col14\" >7</td>\n",
+       "      <td id=\"T_cc820_row1_col15\" class=\"data row1 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+       "      <td id=\"T_cc820_row2_col0\" class=\"data row2 col0\" >18</td>\n",
+       "      <td id=\"T_cc820_row2_col1\" class=\"data row2 col1\" >f</td>\n",
+       "      <td id=\"T_cc820_row2_col2\" class=\"data row2 col2\" >31</td>\n",
+       "      <td id=\"T_cc820_row2_col3\" class=\"data row2 col3\" >90</td>\n",
+       "      <td id=\"T_cc820_row2_col4\" class=\"data row2 col4\" >95</td>\n",
+       "      <td id=\"T_cc820_row2_col5\" class=\"data row2 col5\" >92.500000</td>\n",
+       "      <td id=\"T_cc820_row2_col6\" class=\"data row2 col6\" >89.500000</td>\n",
+       "      <td id=\"T_cc820_row2_col7\" class=\"data row2 col7\" >90.000000</td>\n",
+       "      <td id=\"T_cc820_row2_col8\" class=\"data row2 col8\" >86.000000</td>\n",
+       "      <td id=\"T_cc820_row2_col9\" class=\"data row2 col9\" >81.000000</td>\n",
+       "      <td id=\"T_cc820_row2_col10\" class=\"data row2 col10\" >89.000000</td>\n",
+       "      <td id=\"T_cc820_row2_col11\" class=\"data row2 col11\" >88.000000</td>\n",
+       "      <td id=\"T_cc820_row2_col12\" class=\"data row2 col12\" >10</td>\n",
+       "      <td id=\"T_cc820_row2_col13\" class=\"data row2 col13\" >9</td>\n",
+       "      <td id=\"T_cc820_row2_col14\" class=\"data row2 col14\" >3</td>\n",
+       "      <td id=\"T_cc820_row2_col15\" class=\"data row2 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+       "      <td id=\"T_cc820_row3_col0\" class=\"data row3 col0\" >22</td>\n",
+       "      <td id=\"T_cc820_row3_col1\" class=\"data row3 col1\" >f</td>\n",
+       "      <td id=\"T_cc820_row3_col2\" class=\"data row3 col2\" >35</td>\n",
+       "      <td id=\"T_cc820_row3_col3\" class=\"data row3 col3\" >100</td>\n",
+       "      <td id=\"T_cc820_row3_col4\" class=\"data row3 col4\" >75</td>\n",
+       "      <td id=\"T_cc820_row3_col5\" class=\"data row3 col5\" >87.500000</td>\n",
+       "      <td id=\"T_cc820_row3_col6\" class=\"data row3 col6\" >89.500000</td>\n",
+       "      <td id=\"T_cc820_row3_col7\" class=\"data row3 col7\" >nan</td>\n",
+       "      <td id=\"T_cc820_row3_col8\" class=\"data row3 col8\" >71.000000</td>\n",
+       "      <td id=\"T_cc820_row3_col9\" class=\"data row3 col9\" >80.000000</td>\n",
+       "      <td id=\"T_cc820_row3_col10\" class=\"data row3 col10\" >88.000000</td>\n",
+       "      <td id=\"T_cc820_row3_col11\" class=\"data row3 col11\" >80.000000</td>\n",
+       "      <td id=\"T_cc820_row3_col12\" class=\"data row3 col12\" >13</td>\n",
+       "      <td id=\"T_cc820_row3_col13\" class=\"data row3 col13\" >8</td>\n",
+       "      <td id=\"T_cc820_row3_col14\" class=\"data row3 col14\" >20</td>\n",
+       "      <td id=\"T_cc820_row3_col15\" class=\"data row3 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+       "      <td id=\"T_cc820_row4_col0\" class=\"data row4 col0\" >27</td>\n",
+       "      <td id=\"T_cc820_row4_col1\" class=\"data row4 col1\" >f</td>\n",
+       "      <td id=\"T_cc820_row4_col2\" class=\"data row4 col2\" >74</td>\n",
+       "      <td id=\"T_cc820_row4_col3\" class=\"data row4 col3\" >60</td>\n",
+       "      <td id=\"T_cc820_row4_col4\" class=\"data row4 col4\" >65</td>\n",
+       "      <td id=\"T_cc820_row4_col5\" class=\"data row4 col5\" >62.500000</td>\n",
+       "      <td id=\"T_cc820_row4_col6\" class=\"data row4 col6\" >68.500000</td>\n",
+       "      <td id=\"T_cc820_row4_col7\" class=\"data row4 col7\" >49.000000</td>\n",
+       "      <td id=\"T_cc820_row4_col8\" class=\"data row4 col8\" >61.000000</td>\n",
+       "      <td id=\"T_cc820_row4_col9\" class=\"data row4 col9\" >49.000000</td>\n",
+       "      <td id=\"T_cc820_row4_col10\" class=\"data row4 col10\" >65.000000</td>\n",
+       "      <td id=\"T_cc820_row4_col11\" class=\"data row4 col11\" >49.000000</td>\n",
+       "      <td id=\"T_cc820_row4_col12\" class=\"data row4 col12\" >13</td>\n",
+       "      <td id=\"T_cc820_row4_col13\" class=\"data row4 col13\" >9</td>\n",
+       "      <td id=\"T_cc820_row4_col14\" class=\"data row4 col14\" >12</td>\n",
+       "      <td id=\"T_cc820_row4_col15\" class=\"data row4 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
+       "      <td id=\"T_cc820_row5_col0\" class=\"data row5 col0\" >28</td>\n",
+       "      <td id=\"T_cc820_row5_col1\" class=\"data row5 col1\" >f</td>\n",
+       "      <td id=\"T_cc820_row5_col2\" class=\"data row5 col2\" >61</td>\n",
+       "      <td id=\"T_cc820_row5_col3\" class=\"data row5 col3\" >80</td>\n",
+       "      <td id=\"T_cc820_row5_col4\" class=\"data row5 col4\" >20</td>\n",
+       "      <td id=\"T_cc820_row5_col5\" class=\"data row5 col5\" >50.000000</td>\n",
+       "      <td id=\"T_cc820_row5_col6\" class=\"data row5 col6\" >71.000000</td>\n",
+       "      <td id=\"T_cc820_row5_col7\" class=\"data row5 col7\" >63.000000</td>\n",
+       "      <td id=\"T_cc820_row5_col8\" class=\"data row5 col8\" >31.000000</td>\n",
+       "      <td id=\"T_cc820_row5_col9\" class=\"data row5 col9\" >72.500000</td>\n",
+       "      <td id=\"T_cc820_row5_col10\" class=\"data row5 col10\" >64.500000</td>\n",
+       "      <td id=\"T_cc820_row5_col11\" class=\"data row5 col11\" >70.500000</td>\n",
+       "      <td id=\"T_cc820_row5_col12\" class=\"data row5 col12\" >15</td>\n",
+       "      <td id=\"T_cc820_row5_col13\" class=\"data row5 col13\" >14</td>\n",
+       "      <td id=\"T_cc820_row5_col14\" class=\"data row5 col14\" >2</td>\n",
+       "      <td id=\"T_cc820_row5_col15\" class=\"data row5 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
+       "      <td id=\"T_cc820_row6_col0\" class=\"data row6 col0\" >30</td>\n",
+       "      <td id=\"T_cc820_row6_col1\" class=\"data row6 col1\" >m</td>\n",
+       "      <td id=\"T_cc820_row6_col2\" class=\"data row6 col2\" >32</td>\n",
+       "      <td id=\"T_cc820_row6_col3\" class=\"data row6 col3\" >90</td>\n",
+       "      <td id=\"T_cc820_row6_col4\" class=\"data row6 col4\" >75</td>\n",
+       "      <td id=\"T_cc820_row6_col5\" class=\"data row6 col5\" >82.500000</td>\n",
+       "      <td id=\"T_cc820_row6_col6\" class=\"data row6 col6\" >67.000000</td>\n",
+       "      <td id=\"T_cc820_row6_col7\" class=\"data row6 col7\" >56.500000</td>\n",
+       "      <td id=\"T_cc820_row6_col8\" class=\"data row6 col8\" >66.000000</td>\n",
+       "      <td id=\"T_cc820_row6_col9\" class=\"data row6 col9\" >65.000000</td>\n",
+       "      <td id=\"T_cc820_row6_col10\" class=\"data row6 col10\" >66.000000</td>\n",
+       "      <td id=\"T_cc820_row6_col11\" class=\"data row6 col11\" >64.000000</td>\n",
+       "      <td id=\"T_cc820_row6_col12\" class=\"data row6 col12\" >16</td>\n",
+       "      <td id=\"T_cc820_row6_col13\" class=\"data row6 col13\" >9</td>\n",
+       "      <td id=\"T_cc820_row6_col14\" class=\"data row6 col14\" >3</td>\n",
+       "      <td id=\"T_cc820_row6_col15\" class=\"data row6 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
+       "      <td id=\"T_cc820_row7_col0\" class=\"data row7 col0\" >33</td>\n",
+       "      <td id=\"T_cc820_row7_col1\" class=\"data row7 col1\" >m</td>\n",
+       "      <td id=\"T_cc820_row7_col2\" class=\"data row7 col2\" >62</td>\n",
+       "      <td id=\"T_cc820_row7_col3\" class=\"data row7 col3\" >45</td>\n",
+       "      <td id=\"T_cc820_row7_col4\" class=\"data row7 col4\" >90</td>\n",
+       "      <td id=\"T_cc820_row7_col5\" class=\"data row7 col5\" >67.500000</td>\n",
+       "      <td id=\"T_cc820_row7_col6\" class=\"data row7 col6\" >54.000000</td>\n",
+       "      <td id=\"T_cc820_row7_col7\" class=\"data row7 col7\" >37.000000</td>\n",
+       "      <td id=\"T_cc820_row7_col8\" class=\"data row7 col8\" >65.000000</td>\n",
+       "      <td id=\"T_cc820_row7_col9\" class=\"data row7 col9\" >81.500000</td>\n",
+       "      <td id=\"T_cc820_row7_col10\" class=\"data row7 col10\" >62.000000</td>\n",
+       "      <td id=\"T_cc820_row7_col11\" class=\"data row7 col11\" >61.000000</td>\n",
+       "      <td id=\"T_cc820_row7_col12\" class=\"data row7 col12\" >14</td>\n",
+       "      <td id=\"T_cc820_row7_col13\" class=\"data row7 col13\" >9</td>\n",
+       "      <td id=\"T_cc820_row7_col14\" class=\"data row7 col14\" >9</td>\n",
+       "      <td id=\"T_cc820_row7_col15\" class=\"data row7 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
+       "      <td id=\"T_cc820_row8_col0\" class=\"data row8 col0\" >34</td>\n",
+       "      <td id=\"T_cc820_row8_col1\" class=\"data row8 col1\" >f</td>\n",
+       "      <td id=\"T_cc820_row8_col2\" class=\"data row8 col2\" >33</td>\n",
+       "      <td id=\"T_cc820_row8_col3\" class=\"data row8 col3\" >80</td>\n",
+       "      <td id=\"T_cc820_row8_col4\" class=\"data row8 col4\" >100</td>\n",
+       "      <td id=\"T_cc820_row8_col5\" class=\"data row8 col5\" >90.000000</td>\n",
+       "      <td id=\"T_cc820_row8_col6\" class=\"data row8 col6\" >70.500000</td>\n",
+       "      <td id=\"T_cc820_row8_col7\" class=\"data row8 col7\" >76.500000</td>\n",
+       "      <td id=\"T_cc820_row8_col8\" class=\"data row8 col8\" >64.500000</td>\n",
+       "      <td id=\"T_cc820_row8_col9\" class=\"data row8 col9\" >nan</td>\n",
+       "      <td id=\"T_cc820_row8_col10\" class=\"data row8 col10\" >68.000000</td>\n",
+       "      <td id=\"T_cc820_row8_col11\" class=\"data row8 col11\" >76.500000</td>\n",
+       "      <td id=\"T_cc820_row8_col12\" class=\"data row8 col12\" >14</td>\n",
+       "      <td id=\"T_cc820_row8_col13\" class=\"data row8 col13\" >12</td>\n",
+       "      <td id=\"T_cc820_row8_col14\" class=\"data row8 col14\" >10</td>\n",
+       "      <td id=\"T_cc820_row8_col15\" class=\"data row8 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cc820_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
+       "      <td id=\"T_cc820_row9_col0\" class=\"data row9 col0\" >35</td>\n",
+       "      <td id=\"T_cc820_row9_col1\" class=\"data row9 col1\" >f</td>\n",
+       "      <td id=\"T_cc820_row9_col2\" class=\"data row9 col2\" >53</td>\n",
+       "      <td id=\"T_cc820_row9_col3\" class=\"data row9 col3\" >100</td>\n",
+       "      <td id=\"T_cc820_row9_col4\" class=\"data row9 col4\" >50</td>\n",
+       "      <td id=\"T_cc820_row9_col5\" class=\"data row9 col5\" >75.000000</td>\n",
+       "      <td id=\"T_cc820_row9_col6\" class=\"data row9 col6\" >74.500000</td>\n",
+       "      <td id=\"T_cc820_row9_col7\" class=\"data row9 col7\" >nan</td>\n",
+       "      <td id=\"T_cc820_row9_col8\" class=\"data row9 col8\" >60.500000</td>\n",
+       "      <td id=\"T_cc820_row9_col9\" class=\"data row9 col9\" >65.000000</td>\n",
+       "      <td id=\"T_cc820_row9_col10\" class=\"data row9 col10\" >71.000000</td>\n",
+       "      <td id=\"T_cc820_row9_col11\" class=\"data row9 col11\" >65.000000</td>\n",
+       "      <td id=\"T_cc820_row9_col12\" class=\"data row9 col12\" >14</td>\n",
+       "      <td id=\"T_cc820_row9_col13\" class=\"data row9 col13\" >8</td>\n",
+       "      <td id=\"T_cc820_row9_col14\" class=\"data row9 col14\" >7</td>\n",
+       "      <td id=\"T_cc820_row9_col15\" class=\"data row9 col15\" >True</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x173c359d0>"
+       "<pandas.io.formats.style.Styler at 0x169d3bb50>"
       ]
      },
      "execution_count": 26,
@@ -3195,281 +3195,281 @@
      "data": {
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        "  background-color: lightgray;\n",
        "}\n",
-       "#T_4fd43_row0_col5 {\n",
+       "#T_05696_row0_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 72.5%, transparent 72.5%);\n",
        "  background-color: lightgray;\n",
        "}\n",
-       "#T_4fd43_row1_col5 {\n",
+       "#T_05696_row1_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 90.0%, transparent 90.0%);\n",
        "  background-color: lightgray;\n",
        "}\n",
-       "#T_4fd43_row2_col0, #T_4fd43_row2_col1, #T_4fd43_row2_col2, #T_4fd43_row2_col3, #T_4fd43_row2_col4, #T_4fd43_row2_col6, #T_4fd43_row2_col7, #T_4fd43_row2_col8, #T_4fd43_row2_col9, #T_4fd43_row2_col10, #T_4fd43_row2_col11, #T_4fd43_row2_col12, #T_4fd43_row2_col13, #T_4fd43_row2_col14, #T_4fd43_row2_col15, #T_4fd43_row3_col0, #T_4fd43_row3_col1, #T_4fd43_row3_col2, #T_4fd43_row3_col3, #T_4fd43_row3_col4, #T_4fd43_row3_col6, #T_4fd43_row3_col7, #T_4fd43_row3_col8, #T_4fd43_row3_col9, #T_4fd43_row3_col10, #T_4fd43_row3_col11, #T_4fd43_row3_col12, #T_4fd43_row3_col13, #T_4fd43_row3_col14, #T_4fd43_row3_col15, #T_4fd43_row8_col0, #T_4fd43_row8_col1, #T_4fd43_row8_col2, #T_4fd43_row8_col3, #T_4fd43_row8_col4, #T_4fd43_row8_col6, #T_4fd43_row8_col7, #T_4fd43_row8_col8, #T_4fd43_row8_col9, #T_4fd43_row8_col10, #T_4fd43_row8_col11, #T_4fd43_row8_col12, #T_4fd43_row8_col13, #T_4fd43_row8_col14, #T_4fd43_row8_col15, #T_4fd43_row9_col0, #T_4fd43_row9_col1, #T_4fd43_row9_col2, #T_4fd43_row9_col3, #T_4fd43_row9_col4, #T_4fd43_row9_col6, #T_4fd43_row9_col7, #T_4fd43_row9_col8, #T_4fd43_row9_col9, #T_4fd43_row9_col10, #T_4fd43_row9_col11, #T_4fd43_row9_col12, #T_4fd43_row9_col13, #T_4fd43_row9_col14, #T_4fd43_row9_col15 {\n",
+       "#T_05696_row2_col0, #T_05696_row2_col1, #T_05696_row2_col2, #T_05696_row2_col3, #T_05696_row2_col4, #T_05696_row2_col6, #T_05696_row2_col7, #T_05696_row2_col8, #T_05696_row2_col9, #T_05696_row2_col10, #T_05696_row2_col11, #T_05696_row2_col12, #T_05696_row2_col13, #T_05696_row2_col14, #T_05696_row2_col15, #T_05696_row3_col0, #T_05696_row3_col1, #T_05696_row3_col2, #T_05696_row3_col3, #T_05696_row3_col4, #T_05696_row3_col6, #T_05696_row3_col7, #T_05696_row3_col8, #T_05696_row3_col9, #T_05696_row3_col10, #T_05696_row3_col11, #T_05696_row3_col12, #T_05696_row3_col13, #T_05696_row3_col14, #T_05696_row3_col15, #T_05696_row8_col0, #T_05696_row8_col1, #T_05696_row8_col2, #T_05696_row8_col3, #T_05696_row8_col4, #T_05696_row8_col6, #T_05696_row8_col7, #T_05696_row8_col8, #T_05696_row8_col9, #T_05696_row8_col10, #T_05696_row8_col11, #T_05696_row8_col12, #T_05696_row8_col13, #T_05696_row8_col14, #T_05696_row8_col15, #T_05696_row9_col0, #T_05696_row9_col1, #T_05696_row9_col2, #T_05696_row9_col3, #T_05696_row9_col4, #T_05696_row9_col6, #T_05696_row9_col7, #T_05696_row9_col8, #T_05696_row9_col9, #T_05696_row9_col10, #T_05696_row9_col11, #T_05696_row9_col12, #T_05696_row9_col13, #T_05696_row9_col14, #T_05696_row9_col15 {\n",
        "  background-color: #7fc97f;\n",
        "}\n",
-       "#T_4fd43_row2_col5 {\n",
+       "#T_05696_row2_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 92.5%, transparent 92.5%);\n",
        "  background-color: #7fc97f;\n",
        "}\n",
-       "#T_4fd43_row3_col5 {\n",
+       "#T_05696_row3_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 87.5%, transparent 87.5%);\n",
        "  background-color: #7fc97f;\n",
        "}\n",
-       "#T_4fd43_row4_col5 {\n",
+       "#T_05696_row4_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 62.5%, transparent 62.5%);\n",
        "  background-color: lightgray;\n",
        "}\n",
-       "#T_4fd43_row5_col5 {\n",
+       "#T_05696_row5_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 50.0%, transparent 50.0%);\n",
        "  background-color: lightgray;\n",
        "}\n",
-       "#T_4fd43_row6_col5 {\n",
+       "#T_05696_row6_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 82.5%, transparent 82.5%);\n",
        "  background-color: lightgray;\n",
        "}\n",
-       "#T_4fd43_row7_col5 {\n",
+       "#T_05696_row7_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 67.5%, transparent 67.5%);\n",
        "  background-color: lightgray;\n",
        "}\n",
-       "#T_4fd43_row8_col5 {\n",
+       "#T_05696_row8_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 90.0%, transparent 90.0%);\n",
        "  background-color: #7fc97f;\n",
        "}\n",
-       "#T_4fd43_row9_col5 {\n",
+       "#T_05696_row9_col5 {\n",
        "  width: 10em;\n",
        "  background: linear-gradient(90deg, #d65f5f 75.0%, transparent 75.0%);\n",
        "  background-color: #7fc97f;\n",
        "}\n",
        "</style>\n",
-       "<table id=\"T_4fd43\">\n",
+       "<table id=\"T_05696\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_4fd43_level0_col0\" class=\"col_heading level0 col0\" >participant number</th>\n",
-       "      <th id=\"T_4fd43_level0_col1\" class=\"col_heading level0 col1\" >gender</th>\n",
-       "      <th id=\"T_4fd43_level0_col2\" class=\"col_heading level0 col2\" >age</th>\n",
-       "      <th id=\"T_4fd43_level0_col3\" class=\"col_heading level0 col3\" >correct hit percentage</th>\n",
-       "      <th id=\"T_4fd43_level0_col4\" class=\"col_heading level0 col4\" >correct reject percentage</th>\n",
-       "      <th id=\"T_4fd43_level0_col5\" class=\"col_heading level0 col5\" >percent correct</th>\n",
-       "      <th id=\"T_4fd43_level0_col6\" class=\"col_heading level0 col6\" >confidence when correct hit</th>\n",
-       "      <th id=\"T_4fd43_level0_col7\" class=\"col_heading level0 col7\" >confidence when incorrect hit</th>\n",
-       "      <th id=\"T_4fd43_level0_col8\" class=\"col_heading level0 col8\" >confidence when correct reject</th>\n",
-       "      <th id=\"T_4fd43_level0_col9\" class=\"col_heading level0 col9\" >confidence when incorrect reject</th>\n",
-       "      <th id=\"T_4fd43_level0_col10\" class=\"col_heading level0 col10\" >confidence when correct</th>\n",
-       "      <th id=\"T_4fd43_level0_col11\" class=\"col_heading level0 col11\" >confidence when incorrect</th>\n",
-       "      <th id=\"T_4fd43_level0_col12\" class=\"col_heading level0 col12\" >sci</th>\n",
-       "      <th id=\"T_4fd43_level0_col13\" class=\"col_heading level0 col13\" >psqi</th>\n",
-       "      <th id=\"T_4fd43_level0_col14\" class=\"col_heading level0 col14\" >ess</th>\n",
-       "      <th id=\"T_4fd43_level0_col15\" class=\"col_heading level0 col15\" >insomnia</th>\n",
+       "      <th id=\"T_05696_level0_col0\" class=\"col_heading level0 col0\" >participant number</th>\n",
+       "      <th id=\"T_05696_level0_col1\" class=\"col_heading level0 col1\" >gender</th>\n",
+       "      <th id=\"T_05696_level0_col2\" class=\"col_heading level0 col2\" >age</th>\n",
+       "      <th id=\"T_05696_level0_col3\" class=\"col_heading level0 col3\" >correct hit percentage</th>\n",
+       "      <th id=\"T_05696_level0_col4\" class=\"col_heading level0 col4\" >correct reject percentage</th>\n",
+       "      <th id=\"T_05696_level0_col5\" class=\"col_heading level0 col5\" >percent correct</th>\n",
+       "      <th id=\"T_05696_level0_col6\" class=\"col_heading level0 col6\" >confidence when correct hit</th>\n",
+       "      <th id=\"T_05696_level0_col7\" class=\"col_heading level0 col7\" >confidence when incorrect hit</th>\n",
+       "      <th id=\"T_05696_level0_col8\" class=\"col_heading level0 col8\" >confidence when correct reject</th>\n",
+       "      <th id=\"T_05696_level0_col9\" class=\"col_heading level0 col9\" >confidence when incorrect reject</th>\n",
+       "      <th id=\"T_05696_level0_col10\" class=\"col_heading level0 col10\" >confidence when correct</th>\n",
+       "      <th id=\"T_05696_level0_col11\" class=\"col_heading level0 col11\" >confidence when incorrect</th>\n",
+       "      <th id=\"T_05696_level0_col12\" class=\"col_heading level0 col12\" >sci</th>\n",
+       "      <th id=\"T_05696_level0_col13\" class=\"col_heading level0 col13\" >psqi</th>\n",
+       "      <th id=\"T_05696_level0_col14\" class=\"col_heading level0 col14\" >ess</th>\n",
+       "      <th id=\"T_05696_level0_col15\" class=\"col_heading level0 col15\" >insomnia</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
-       "      <td id=\"T_4fd43_row0_col0\" class=\"data row0 col0\" >8</td>\n",
-       "      <td id=\"T_4fd43_row0_col1\" class=\"data row0 col1\" >f</td>\n",
-       "      <td id=\"T_4fd43_row0_col2\" class=\"data row0 col2\" >39</td>\n",
-       "      <td id=\"T_4fd43_row0_col3\" class=\"data row0 col3\" >65</td>\n",
-       "      <td id=\"T_4fd43_row0_col4\" class=\"data row0 col4\" >80</td>\n",
-       "      <td id=\"T_4fd43_row0_col5\" class=\"data row0 col5\" >72.500000</td>\n",
-       "      <td id=\"T_4fd43_row0_col6\" class=\"data row0 col6\" >91.000000</td>\n",
-       "      <td id=\"T_4fd43_row0_col7\" class=\"data row0 col7\" >90.000000</td>\n",
-       "      <td id=\"T_4fd43_row0_col8\" class=\"data row0 col8\" >93.000000</td>\n",
-       "      <td id=\"T_4fd43_row0_col9\" class=\"data row0 col9\" >83.500000</td>\n",
-       "      <td id=\"T_4fd43_row0_col10\" class=\"data row0 col10\" >93.000000</td>\n",
-       "      <td id=\"T_4fd43_row0_col11\" class=\"data row0 col11\" >90.000000</td>\n",
-       "      <td id=\"T_4fd43_row0_col12\" class=\"data row0 col12\" >9</td>\n",
-       "      <td id=\"T_4fd43_row0_col13\" class=\"data row0 col13\" >13</td>\n",
-       "      <td id=\"T_4fd43_row0_col14\" class=\"data row0 col14\" >2</td>\n",
-       "      <td id=\"T_4fd43_row0_col15\" class=\"data row0 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
-       "      <td id=\"T_4fd43_row1_col0\" class=\"data row1 col0\" >16</td>\n",
-       "      <td id=\"T_4fd43_row1_col1\" class=\"data row1 col1\" >m</td>\n",
-       "      <td id=\"T_4fd43_row1_col2\" class=\"data row1 col2\" >42</td>\n",
-       "      <td id=\"T_4fd43_row1_col3\" class=\"data row1 col3\" >90</td>\n",
-       "      <td id=\"T_4fd43_row1_col4\" class=\"data row1 col4\" >90</td>\n",
-       "      <td id=\"T_4fd43_row1_col5\" class=\"data row1 col5\" >90.000000</td>\n",
-       "      <td id=\"T_4fd43_row1_col6\" class=\"data row1 col6\" >75.500000</td>\n",
-       "      <td id=\"T_4fd43_row1_col7\" class=\"data row1 col7\" >55.500000</td>\n",
-       "      <td id=\"T_4fd43_row1_col8\" class=\"data row1 col8\" >70.500000</td>\n",
-       "      <td id=\"T_4fd43_row1_col9\" class=\"data row1 col9\" >50.000000</td>\n",
-       "      <td id=\"T_4fd43_row1_col10\" class=\"data row1 col10\" >75.000000</td>\n",
-       "      <td id=\"T_4fd43_row1_col11\" class=\"data row1 col11\" >50.000000</td>\n",
-       "      <td id=\"T_4fd43_row1_col12\" class=\"data row1 col12\" >4</td>\n",
-       "      <td id=\"T_4fd43_row1_col13\" class=\"data row1 col13\" >11</td>\n",
-       "      <td id=\"T_4fd43_row1_col14\" class=\"data row1 col14\" >7</td>\n",
-       "      <td id=\"T_4fd43_row1_col15\" class=\"data row1 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
-       "      <td id=\"T_4fd43_row2_col0\" class=\"data row2 col0\" >18</td>\n",
-       "      <td id=\"T_4fd43_row2_col1\" class=\"data row2 col1\" >f</td>\n",
-       "      <td id=\"T_4fd43_row2_col2\" class=\"data row2 col2\" >31</td>\n",
-       "      <td id=\"T_4fd43_row2_col3\" class=\"data row2 col3\" >90</td>\n",
-       "      <td id=\"T_4fd43_row2_col4\" class=\"data row2 col4\" >95</td>\n",
-       "      <td id=\"T_4fd43_row2_col5\" class=\"data row2 col5\" >92.500000</td>\n",
-       "      <td id=\"T_4fd43_row2_col6\" class=\"data row2 col6\" >89.500000</td>\n",
-       "      <td id=\"T_4fd43_row2_col7\" class=\"data row2 col7\" >90.000000</td>\n",
-       "      <td id=\"T_4fd43_row2_col8\" class=\"data row2 col8\" >86.000000</td>\n",
-       "      <td id=\"T_4fd43_row2_col9\" class=\"data row2 col9\" >81.000000</td>\n",
-       "      <td id=\"T_4fd43_row2_col10\" class=\"data row2 col10\" >89.000000</td>\n",
-       "      <td id=\"T_4fd43_row2_col11\" class=\"data row2 col11\" >88.000000</td>\n",
-       "      <td id=\"T_4fd43_row2_col12\" class=\"data row2 col12\" >10</td>\n",
-       "      <td id=\"T_4fd43_row2_col13\" class=\"data row2 col13\" >9</td>\n",
-       "      <td id=\"T_4fd43_row2_col14\" class=\"data row2 col14\" >3</td>\n",
-       "      <td id=\"T_4fd43_row2_col15\" class=\"data row2 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
-       "      <td id=\"T_4fd43_row3_col0\" class=\"data row3 col0\" >22</td>\n",
-       "      <td id=\"T_4fd43_row3_col1\" class=\"data row3 col1\" >f</td>\n",
-       "      <td id=\"T_4fd43_row3_col2\" class=\"data row3 col2\" >35</td>\n",
-       "      <td id=\"T_4fd43_row3_col3\" class=\"data row3 col3\" >100</td>\n",
-       "      <td id=\"T_4fd43_row3_col4\" class=\"data row3 col4\" >75</td>\n",
-       "      <td id=\"T_4fd43_row3_col5\" class=\"data row3 col5\" >87.500000</td>\n",
-       "      <td id=\"T_4fd43_row3_col6\" class=\"data row3 col6\" >89.500000</td>\n",
-       "      <td id=\"T_4fd43_row3_col7\" class=\"data row3 col7\" >nan</td>\n",
-       "      <td id=\"T_4fd43_row3_col8\" class=\"data row3 col8\" >71.000000</td>\n",
-       "      <td id=\"T_4fd43_row3_col9\" class=\"data row3 col9\" >80.000000</td>\n",
-       "      <td id=\"T_4fd43_row3_col10\" class=\"data row3 col10\" >88.000000</td>\n",
-       "      <td id=\"T_4fd43_row3_col11\" class=\"data row3 col11\" >80.000000</td>\n",
-       "      <td id=\"T_4fd43_row3_col12\" class=\"data row3 col12\" >13</td>\n",
-       "      <td id=\"T_4fd43_row3_col13\" class=\"data row3 col13\" >8</td>\n",
-       "      <td id=\"T_4fd43_row3_col14\" class=\"data row3 col14\" >20</td>\n",
-       "      <td id=\"T_4fd43_row3_col15\" class=\"data row3 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
-       "      <td id=\"T_4fd43_row4_col0\" class=\"data row4 col0\" >27</td>\n",
-       "      <td id=\"T_4fd43_row4_col1\" class=\"data row4 col1\" >f</td>\n",
-       "      <td id=\"T_4fd43_row4_col2\" class=\"data row4 col2\" >74</td>\n",
-       "      <td id=\"T_4fd43_row4_col3\" class=\"data row4 col3\" >60</td>\n",
-       "      <td id=\"T_4fd43_row4_col4\" class=\"data row4 col4\" >65</td>\n",
-       "      <td id=\"T_4fd43_row4_col5\" class=\"data row4 col5\" >62.500000</td>\n",
-       "      <td id=\"T_4fd43_row4_col6\" class=\"data row4 col6\" >68.500000</td>\n",
-       "      <td id=\"T_4fd43_row4_col7\" class=\"data row4 col7\" >49.000000</td>\n",
-       "      <td id=\"T_4fd43_row4_col8\" class=\"data row4 col8\" >61.000000</td>\n",
-       "      <td id=\"T_4fd43_row4_col9\" class=\"data row4 col9\" >49.000000</td>\n",
-       "      <td id=\"T_4fd43_row4_col10\" class=\"data row4 col10\" >65.000000</td>\n",
-       "      <td id=\"T_4fd43_row4_col11\" class=\"data row4 col11\" >49.000000</td>\n",
-       "      <td id=\"T_4fd43_row4_col12\" class=\"data row4 col12\" >13</td>\n",
-       "      <td id=\"T_4fd43_row4_col13\" class=\"data row4 col13\" >9</td>\n",
-       "      <td id=\"T_4fd43_row4_col14\" class=\"data row4 col14\" >12</td>\n",
-       "      <td id=\"T_4fd43_row4_col15\" class=\"data row4 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
-       "      <td id=\"T_4fd43_row5_col0\" class=\"data row5 col0\" >28</td>\n",
-       "      <td id=\"T_4fd43_row5_col1\" class=\"data row5 col1\" >f</td>\n",
-       "      <td id=\"T_4fd43_row5_col2\" class=\"data row5 col2\" >61</td>\n",
-       "      <td id=\"T_4fd43_row5_col3\" class=\"data row5 col3\" >80</td>\n",
-       "      <td id=\"T_4fd43_row5_col4\" class=\"data row5 col4\" >20</td>\n",
-       "      <td id=\"T_4fd43_row5_col5\" class=\"data row5 col5\" >50.000000</td>\n",
-       "      <td id=\"T_4fd43_row5_col6\" class=\"data row5 col6\" >71.000000</td>\n",
-       "      <td id=\"T_4fd43_row5_col7\" class=\"data row5 col7\" >63.000000</td>\n",
-       "      <td id=\"T_4fd43_row5_col8\" class=\"data row5 col8\" >31.000000</td>\n",
-       "      <td id=\"T_4fd43_row5_col9\" class=\"data row5 col9\" >72.500000</td>\n",
-       "      <td id=\"T_4fd43_row5_col10\" class=\"data row5 col10\" >64.500000</td>\n",
-       "      <td id=\"T_4fd43_row5_col11\" class=\"data row5 col11\" >70.500000</td>\n",
-       "      <td id=\"T_4fd43_row5_col12\" class=\"data row5 col12\" >15</td>\n",
-       "      <td id=\"T_4fd43_row5_col13\" class=\"data row5 col13\" >14</td>\n",
-       "      <td id=\"T_4fd43_row5_col14\" class=\"data row5 col14\" >2</td>\n",
-       "      <td id=\"T_4fd43_row5_col15\" class=\"data row5 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
-       "      <td id=\"T_4fd43_row6_col0\" class=\"data row6 col0\" >30</td>\n",
-       "      <td id=\"T_4fd43_row6_col1\" class=\"data row6 col1\" >m</td>\n",
-       "      <td id=\"T_4fd43_row6_col2\" class=\"data row6 col2\" >32</td>\n",
-       "      <td id=\"T_4fd43_row6_col3\" class=\"data row6 col3\" >90</td>\n",
-       "      <td id=\"T_4fd43_row6_col4\" class=\"data row6 col4\" >75</td>\n",
-       "      <td id=\"T_4fd43_row6_col5\" class=\"data row6 col5\" >82.500000</td>\n",
-       "      <td id=\"T_4fd43_row6_col6\" class=\"data row6 col6\" >67.000000</td>\n",
-       "      <td id=\"T_4fd43_row6_col7\" class=\"data row6 col7\" >56.500000</td>\n",
-       "      <td id=\"T_4fd43_row6_col8\" class=\"data row6 col8\" >66.000000</td>\n",
-       "      <td id=\"T_4fd43_row6_col9\" class=\"data row6 col9\" >65.000000</td>\n",
-       "      <td id=\"T_4fd43_row6_col10\" class=\"data row6 col10\" >66.000000</td>\n",
-       "      <td id=\"T_4fd43_row6_col11\" class=\"data row6 col11\" >64.000000</td>\n",
-       "      <td id=\"T_4fd43_row6_col12\" class=\"data row6 col12\" >16</td>\n",
-       "      <td id=\"T_4fd43_row6_col13\" class=\"data row6 col13\" >9</td>\n",
-       "      <td id=\"T_4fd43_row6_col14\" class=\"data row6 col14\" >3</td>\n",
-       "      <td id=\"T_4fd43_row6_col15\" class=\"data row6 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
-       "      <td id=\"T_4fd43_row7_col0\" class=\"data row7 col0\" >33</td>\n",
-       "      <td id=\"T_4fd43_row7_col1\" class=\"data row7 col1\" >m</td>\n",
-       "      <td id=\"T_4fd43_row7_col2\" class=\"data row7 col2\" >62</td>\n",
-       "      <td id=\"T_4fd43_row7_col3\" class=\"data row7 col3\" >45</td>\n",
-       "      <td id=\"T_4fd43_row7_col4\" class=\"data row7 col4\" >90</td>\n",
-       "      <td id=\"T_4fd43_row7_col5\" class=\"data row7 col5\" >67.500000</td>\n",
-       "      <td id=\"T_4fd43_row7_col6\" class=\"data row7 col6\" >54.000000</td>\n",
-       "      <td id=\"T_4fd43_row7_col7\" class=\"data row7 col7\" >37.000000</td>\n",
-       "      <td id=\"T_4fd43_row7_col8\" class=\"data row7 col8\" >65.000000</td>\n",
-       "      <td id=\"T_4fd43_row7_col9\" class=\"data row7 col9\" >81.500000</td>\n",
-       "      <td id=\"T_4fd43_row7_col10\" class=\"data row7 col10\" >62.000000</td>\n",
-       "      <td id=\"T_4fd43_row7_col11\" class=\"data row7 col11\" >61.000000</td>\n",
-       "      <td id=\"T_4fd43_row7_col12\" class=\"data row7 col12\" >14</td>\n",
-       "      <td id=\"T_4fd43_row7_col13\" class=\"data row7 col13\" >9</td>\n",
-       "      <td id=\"T_4fd43_row7_col14\" class=\"data row7 col14\" >9</td>\n",
-       "      <td id=\"T_4fd43_row7_col15\" class=\"data row7 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
-       "      <td id=\"T_4fd43_row8_col0\" class=\"data row8 col0\" >34</td>\n",
-       "      <td id=\"T_4fd43_row8_col1\" class=\"data row8 col1\" >f</td>\n",
-       "      <td id=\"T_4fd43_row8_col2\" class=\"data row8 col2\" >33</td>\n",
-       "      <td id=\"T_4fd43_row8_col3\" class=\"data row8 col3\" >80</td>\n",
-       "      <td id=\"T_4fd43_row8_col4\" class=\"data row8 col4\" >100</td>\n",
-       "      <td id=\"T_4fd43_row8_col5\" class=\"data row8 col5\" >90.000000</td>\n",
-       "      <td id=\"T_4fd43_row8_col6\" class=\"data row8 col6\" >70.500000</td>\n",
-       "      <td id=\"T_4fd43_row8_col7\" class=\"data row8 col7\" >76.500000</td>\n",
-       "      <td id=\"T_4fd43_row8_col8\" class=\"data row8 col8\" >64.500000</td>\n",
-       "      <td id=\"T_4fd43_row8_col9\" class=\"data row8 col9\" >nan</td>\n",
-       "      <td id=\"T_4fd43_row8_col10\" class=\"data row8 col10\" >68.000000</td>\n",
-       "      <td id=\"T_4fd43_row8_col11\" class=\"data row8 col11\" >76.500000</td>\n",
-       "      <td id=\"T_4fd43_row8_col12\" class=\"data row8 col12\" >14</td>\n",
-       "      <td id=\"T_4fd43_row8_col13\" class=\"data row8 col13\" >12</td>\n",
-       "      <td id=\"T_4fd43_row8_col14\" class=\"data row8 col14\" >10</td>\n",
-       "      <td id=\"T_4fd43_row8_col15\" class=\"data row8 col15\" >True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_4fd43_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
-       "      <td id=\"T_4fd43_row9_col0\" class=\"data row9 col0\" >35</td>\n",
-       "      <td id=\"T_4fd43_row9_col1\" class=\"data row9 col1\" >f</td>\n",
-       "      <td id=\"T_4fd43_row9_col2\" class=\"data row9 col2\" >53</td>\n",
-       "      <td id=\"T_4fd43_row9_col3\" class=\"data row9 col3\" >100</td>\n",
-       "      <td id=\"T_4fd43_row9_col4\" class=\"data row9 col4\" >50</td>\n",
-       "      <td id=\"T_4fd43_row9_col5\" class=\"data row9 col5\" >75.000000</td>\n",
-       "      <td id=\"T_4fd43_row9_col6\" class=\"data row9 col6\" >74.500000</td>\n",
-       "      <td id=\"T_4fd43_row9_col7\" class=\"data row9 col7\" >nan</td>\n",
-       "      <td id=\"T_4fd43_row9_col8\" class=\"data row9 col8\" >60.500000</td>\n",
-       "      <td id=\"T_4fd43_row9_col9\" class=\"data row9 col9\" >65.000000</td>\n",
-       "      <td id=\"T_4fd43_row9_col10\" class=\"data row9 col10\" >71.000000</td>\n",
-       "      <td id=\"T_4fd43_row9_col11\" class=\"data row9 col11\" >65.000000</td>\n",
-       "      <td id=\"T_4fd43_row9_col12\" class=\"data row9 col12\" >14</td>\n",
-       "      <td id=\"T_4fd43_row9_col13\" class=\"data row9 col13\" >8</td>\n",
-       "      <td id=\"T_4fd43_row9_col14\" class=\"data row9 col14\" >7</td>\n",
-       "      <td id=\"T_4fd43_row9_col15\" class=\"data row9 col15\" >True</td>\n",
+       "      <th id=\"T_05696_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
+       "      <td id=\"T_05696_row0_col0\" class=\"data row0 col0\" >8</td>\n",
+       "      <td id=\"T_05696_row0_col1\" class=\"data row0 col1\" >f</td>\n",
+       "      <td id=\"T_05696_row0_col2\" class=\"data row0 col2\" >39</td>\n",
+       "      <td id=\"T_05696_row0_col3\" class=\"data row0 col3\" >65</td>\n",
+       "      <td id=\"T_05696_row0_col4\" class=\"data row0 col4\" >80</td>\n",
+       "      <td id=\"T_05696_row0_col5\" class=\"data row0 col5\" >72.500000</td>\n",
+       "      <td id=\"T_05696_row0_col6\" class=\"data row0 col6\" >91.000000</td>\n",
+       "      <td id=\"T_05696_row0_col7\" class=\"data row0 col7\" >90.000000</td>\n",
+       "      <td id=\"T_05696_row0_col8\" class=\"data row0 col8\" >93.000000</td>\n",
+       "      <td id=\"T_05696_row0_col9\" class=\"data row0 col9\" >83.500000</td>\n",
+       "      <td id=\"T_05696_row0_col10\" class=\"data row0 col10\" >93.000000</td>\n",
+       "      <td id=\"T_05696_row0_col11\" class=\"data row0 col11\" >90.000000</td>\n",
+       "      <td id=\"T_05696_row0_col12\" class=\"data row0 col12\" >9</td>\n",
+       "      <td id=\"T_05696_row0_col13\" class=\"data row0 col13\" >13</td>\n",
+       "      <td id=\"T_05696_row0_col14\" class=\"data row0 col14\" >2</td>\n",
+       "      <td id=\"T_05696_row0_col15\" class=\"data row0 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
+       "      <td id=\"T_05696_row1_col0\" class=\"data row1 col0\" >16</td>\n",
+       "      <td id=\"T_05696_row1_col1\" class=\"data row1 col1\" >m</td>\n",
+       "      <td id=\"T_05696_row1_col2\" class=\"data row1 col2\" >42</td>\n",
+       "      <td id=\"T_05696_row1_col3\" class=\"data row1 col3\" >90</td>\n",
+       "      <td id=\"T_05696_row1_col4\" class=\"data row1 col4\" >90</td>\n",
+       "      <td id=\"T_05696_row1_col5\" class=\"data row1 col5\" >90.000000</td>\n",
+       "      <td id=\"T_05696_row1_col6\" class=\"data row1 col6\" >75.500000</td>\n",
+       "      <td id=\"T_05696_row1_col7\" class=\"data row1 col7\" >55.500000</td>\n",
+       "      <td id=\"T_05696_row1_col8\" class=\"data row1 col8\" >70.500000</td>\n",
+       "      <td id=\"T_05696_row1_col9\" class=\"data row1 col9\" >50.000000</td>\n",
+       "      <td id=\"T_05696_row1_col10\" class=\"data row1 col10\" >75.000000</td>\n",
+       "      <td id=\"T_05696_row1_col11\" class=\"data row1 col11\" >50.000000</td>\n",
+       "      <td id=\"T_05696_row1_col12\" class=\"data row1 col12\" >4</td>\n",
+       "      <td id=\"T_05696_row1_col13\" class=\"data row1 col13\" >11</td>\n",
+       "      <td id=\"T_05696_row1_col14\" class=\"data row1 col14\" >7</td>\n",
+       "      <td id=\"T_05696_row1_col15\" class=\"data row1 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
+       "      <td id=\"T_05696_row2_col0\" class=\"data row2 col0\" >18</td>\n",
+       "      <td id=\"T_05696_row2_col1\" class=\"data row2 col1\" >f</td>\n",
+       "      <td id=\"T_05696_row2_col2\" class=\"data row2 col2\" >31</td>\n",
+       "      <td id=\"T_05696_row2_col3\" class=\"data row2 col3\" >90</td>\n",
+       "      <td id=\"T_05696_row2_col4\" class=\"data row2 col4\" >95</td>\n",
+       "      <td id=\"T_05696_row2_col5\" class=\"data row2 col5\" >92.500000</td>\n",
+       "      <td id=\"T_05696_row2_col6\" class=\"data row2 col6\" >89.500000</td>\n",
+       "      <td id=\"T_05696_row2_col7\" class=\"data row2 col7\" >90.000000</td>\n",
+       "      <td id=\"T_05696_row2_col8\" class=\"data row2 col8\" >86.000000</td>\n",
+       "      <td id=\"T_05696_row2_col9\" class=\"data row2 col9\" >81.000000</td>\n",
+       "      <td id=\"T_05696_row2_col10\" class=\"data row2 col10\" >89.000000</td>\n",
+       "      <td id=\"T_05696_row2_col11\" class=\"data row2 col11\" >88.000000</td>\n",
+       "      <td id=\"T_05696_row2_col12\" class=\"data row2 col12\" >10</td>\n",
+       "      <td id=\"T_05696_row2_col13\" class=\"data row2 col13\" >9</td>\n",
+       "      <td id=\"T_05696_row2_col14\" class=\"data row2 col14\" >3</td>\n",
+       "      <td id=\"T_05696_row2_col15\" class=\"data row2 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
+       "      <td id=\"T_05696_row3_col0\" class=\"data row3 col0\" >22</td>\n",
+       "      <td id=\"T_05696_row3_col1\" class=\"data row3 col1\" >f</td>\n",
+       "      <td id=\"T_05696_row3_col2\" class=\"data row3 col2\" >35</td>\n",
+       "      <td id=\"T_05696_row3_col3\" class=\"data row3 col3\" >100</td>\n",
+       "      <td id=\"T_05696_row3_col4\" class=\"data row3 col4\" >75</td>\n",
+       "      <td id=\"T_05696_row3_col5\" class=\"data row3 col5\" >87.500000</td>\n",
+       "      <td id=\"T_05696_row3_col6\" class=\"data row3 col6\" >89.500000</td>\n",
+       "      <td id=\"T_05696_row3_col7\" class=\"data row3 col7\" >nan</td>\n",
+       "      <td id=\"T_05696_row3_col8\" class=\"data row3 col8\" >71.000000</td>\n",
+       "      <td id=\"T_05696_row3_col9\" class=\"data row3 col9\" >80.000000</td>\n",
+       "      <td id=\"T_05696_row3_col10\" class=\"data row3 col10\" >88.000000</td>\n",
+       "      <td id=\"T_05696_row3_col11\" class=\"data row3 col11\" >80.000000</td>\n",
+       "      <td id=\"T_05696_row3_col12\" class=\"data row3 col12\" >13</td>\n",
+       "      <td id=\"T_05696_row3_col13\" class=\"data row3 col13\" >8</td>\n",
+       "      <td id=\"T_05696_row3_col14\" class=\"data row3 col14\" >20</td>\n",
+       "      <td id=\"T_05696_row3_col15\" class=\"data row3 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
+       "      <td id=\"T_05696_row4_col0\" class=\"data row4 col0\" >27</td>\n",
+       "      <td id=\"T_05696_row4_col1\" class=\"data row4 col1\" >f</td>\n",
+       "      <td id=\"T_05696_row4_col2\" class=\"data row4 col2\" >74</td>\n",
+       "      <td id=\"T_05696_row4_col3\" class=\"data row4 col3\" >60</td>\n",
+       "      <td id=\"T_05696_row4_col4\" class=\"data row4 col4\" >65</td>\n",
+       "      <td id=\"T_05696_row4_col5\" class=\"data row4 col5\" >62.500000</td>\n",
+       "      <td id=\"T_05696_row4_col6\" class=\"data row4 col6\" >68.500000</td>\n",
+       "      <td id=\"T_05696_row4_col7\" class=\"data row4 col7\" >49.000000</td>\n",
+       "      <td id=\"T_05696_row4_col8\" class=\"data row4 col8\" >61.000000</td>\n",
+       "      <td id=\"T_05696_row4_col9\" class=\"data row4 col9\" >49.000000</td>\n",
+       "      <td id=\"T_05696_row4_col10\" class=\"data row4 col10\" >65.000000</td>\n",
+       "      <td id=\"T_05696_row4_col11\" class=\"data row4 col11\" >49.000000</td>\n",
+       "      <td id=\"T_05696_row4_col12\" class=\"data row4 col12\" >13</td>\n",
+       "      <td id=\"T_05696_row4_col13\" class=\"data row4 col13\" >9</td>\n",
+       "      <td id=\"T_05696_row4_col14\" class=\"data row4 col14\" >12</td>\n",
+       "      <td id=\"T_05696_row4_col15\" class=\"data row4 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
+       "      <td id=\"T_05696_row5_col0\" class=\"data row5 col0\" >28</td>\n",
+       "      <td id=\"T_05696_row5_col1\" class=\"data row5 col1\" >f</td>\n",
+       "      <td id=\"T_05696_row5_col2\" class=\"data row5 col2\" >61</td>\n",
+       "      <td id=\"T_05696_row5_col3\" class=\"data row5 col3\" >80</td>\n",
+       "      <td id=\"T_05696_row5_col4\" class=\"data row5 col4\" >20</td>\n",
+       "      <td id=\"T_05696_row5_col5\" class=\"data row5 col5\" >50.000000</td>\n",
+       "      <td id=\"T_05696_row5_col6\" class=\"data row5 col6\" >71.000000</td>\n",
+       "      <td id=\"T_05696_row5_col7\" class=\"data row5 col7\" >63.000000</td>\n",
+       "      <td id=\"T_05696_row5_col8\" class=\"data row5 col8\" >31.000000</td>\n",
+       "      <td id=\"T_05696_row5_col9\" class=\"data row5 col9\" >72.500000</td>\n",
+       "      <td id=\"T_05696_row5_col10\" class=\"data row5 col10\" >64.500000</td>\n",
+       "      <td id=\"T_05696_row5_col11\" class=\"data row5 col11\" >70.500000</td>\n",
+       "      <td id=\"T_05696_row5_col12\" class=\"data row5 col12\" >15</td>\n",
+       "      <td id=\"T_05696_row5_col13\" class=\"data row5 col13\" >14</td>\n",
+       "      <td id=\"T_05696_row5_col14\" class=\"data row5 col14\" >2</td>\n",
+       "      <td id=\"T_05696_row5_col15\" class=\"data row5 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
+       "      <td id=\"T_05696_row6_col0\" class=\"data row6 col0\" >30</td>\n",
+       "      <td id=\"T_05696_row6_col1\" class=\"data row6 col1\" >m</td>\n",
+       "      <td id=\"T_05696_row6_col2\" class=\"data row6 col2\" >32</td>\n",
+       "      <td id=\"T_05696_row6_col3\" class=\"data row6 col3\" >90</td>\n",
+       "      <td id=\"T_05696_row6_col4\" class=\"data row6 col4\" >75</td>\n",
+       "      <td id=\"T_05696_row6_col5\" class=\"data row6 col5\" >82.500000</td>\n",
+       "      <td id=\"T_05696_row6_col6\" class=\"data row6 col6\" >67.000000</td>\n",
+       "      <td id=\"T_05696_row6_col7\" class=\"data row6 col7\" >56.500000</td>\n",
+       "      <td id=\"T_05696_row6_col8\" class=\"data row6 col8\" >66.000000</td>\n",
+       "      <td id=\"T_05696_row6_col9\" class=\"data row6 col9\" >65.000000</td>\n",
+       "      <td id=\"T_05696_row6_col10\" class=\"data row6 col10\" >66.000000</td>\n",
+       "      <td id=\"T_05696_row6_col11\" class=\"data row6 col11\" >64.000000</td>\n",
+       "      <td id=\"T_05696_row6_col12\" class=\"data row6 col12\" >16</td>\n",
+       "      <td id=\"T_05696_row6_col13\" class=\"data row6 col13\" >9</td>\n",
+       "      <td id=\"T_05696_row6_col14\" class=\"data row6 col14\" >3</td>\n",
+       "      <td id=\"T_05696_row6_col15\" class=\"data row6 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
+       "      <td id=\"T_05696_row7_col0\" class=\"data row7 col0\" >33</td>\n",
+       "      <td id=\"T_05696_row7_col1\" class=\"data row7 col1\" >m</td>\n",
+       "      <td id=\"T_05696_row7_col2\" class=\"data row7 col2\" >62</td>\n",
+       "      <td id=\"T_05696_row7_col3\" class=\"data row7 col3\" >45</td>\n",
+       "      <td id=\"T_05696_row7_col4\" class=\"data row7 col4\" >90</td>\n",
+       "      <td id=\"T_05696_row7_col5\" class=\"data row7 col5\" >67.500000</td>\n",
+       "      <td id=\"T_05696_row7_col6\" class=\"data row7 col6\" >54.000000</td>\n",
+       "      <td id=\"T_05696_row7_col7\" class=\"data row7 col7\" >37.000000</td>\n",
+       "      <td id=\"T_05696_row7_col8\" class=\"data row7 col8\" >65.000000</td>\n",
+       "      <td id=\"T_05696_row7_col9\" class=\"data row7 col9\" >81.500000</td>\n",
+       "      <td id=\"T_05696_row7_col10\" class=\"data row7 col10\" >62.000000</td>\n",
+       "      <td id=\"T_05696_row7_col11\" class=\"data row7 col11\" >61.000000</td>\n",
+       "      <td id=\"T_05696_row7_col12\" class=\"data row7 col12\" >14</td>\n",
+       "      <td id=\"T_05696_row7_col13\" class=\"data row7 col13\" >9</td>\n",
+       "      <td id=\"T_05696_row7_col14\" class=\"data row7 col14\" >9</td>\n",
+       "      <td id=\"T_05696_row7_col15\" class=\"data row7 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
+       "      <td id=\"T_05696_row8_col0\" class=\"data row8 col0\" >34</td>\n",
+       "      <td id=\"T_05696_row8_col1\" class=\"data row8 col1\" >f</td>\n",
+       "      <td id=\"T_05696_row8_col2\" class=\"data row8 col2\" >33</td>\n",
+       "      <td id=\"T_05696_row8_col3\" class=\"data row8 col3\" >80</td>\n",
+       "      <td id=\"T_05696_row8_col4\" class=\"data row8 col4\" >100</td>\n",
+       "      <td id=\"T_05696_row8_col5\" class=\"data row8 col5\" >90.000000</td>\n",
+       "      <td id=\"T_05696_row8_col6\" class=\"data row8 col6\" >70.500000</td>\n",
+       "      <td id=\"T_05696_row8_col7\" class=\"data row8 col7\" >76.500000</td>\n",
+       "      <td id=\"T_05696_row8_col8\" class=\"data row8 col8\" >64.500000</td>\n",
+       "      <td id=\"T_05696_row8_col9\" class=\"data row8 col9\" >nan</td>\n",
+       "      <td id=\"T_05696_row8_col10\" class=\"data row8 col10\" >68.000000</td>\n",
+       "      <td id=\"T_05696_row8_col11\" class=\"data row8 col11\" >76.500000</td>\n",
+       "      <td id=\"T_05696_row8_col12\" class=\"data row8 col12\" >14</td>\n",
+       "      <td id=\"T_05696_row8_col13\" class=\"data row8 col13\" >12</td>\n",
+       "      <td id=\"T_05696_row8_col14\" class=\"data row8 col14\" >10</td>\n",
+       "      <td id=\"T_05696_row8_col15\" class=\"data row8 col15\" >True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_05696_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
+       "      <td id=\"T_05696_row9_col0\" class=\"data row9 col0\" >35</td>\n",
+       "      <td id=\"T_05696_row9_col1\" class=\"data row9 col1\" >f</td>\n",
+       "      <td id=\"T_05696_row9_col2\" class=\"data row9 col2\" >53</td>\n",
+       "      <td id=\"T_05696_row9_col3\" class=\"data row9 col3\" >100</td>\n",
+       "      <td id=\"T_05696_row9_col4\" class=\"data row9 col4\" >50</td>\n",
+       "      <td id=\"T_05696_row9_col5\" class=\"data row9 col5\" >75.000000</td>\n",
+       "      <td id=\"T_05696_row9_col6\" class=\"data row9 col6\" >74.500000</td>\n",
+       "      <td id=\"T_05696_row9_col7\" class=\"data row9 col7\" >nan</td>\n",
+       "      <td id=\"T_05696_row9_col8\" class=\"data row9 col8\" >60.500000</td>\n",
+       "      <td id=\"T_05696_row9_col9\" class=\"data row9 col9\" >65.000000</td>\n",
+       "      <td id=\"T_05696_row9_col10\" class=\"data row9 col10\" >71.000000</td>\n",
+       "      <td id=\"T_05696_row9_col11\" class=\"data row9 col11\" >65.000000</td>\n",
+       "      <td id=\"T_05696_row9_col12\" class=\"data row9 col12\" >14</td>\n",
+       "      <td id=\"T_05696_row9_col13\" class=\"data row9 col13\" >8</td>\n",
+       "      <td id=\"T_05696_row9_col14\" class=\"data row9 col14\" >7</td>\n",
+       "      <td id=\"T_05696_row9_col15\" class=\"data row9 col15\" >True</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x173c3cc50>"
+       "<pandas.io.formats.style.Styler at 0x169d3ff10>"
       ]
      },
      "execution_count": 27,
diff --git a/2024/lessons/l17_split_apply_combine.html b/2024/lessons/l17_split_apply_combine.html
index b7a712d0..338572a6 100644
--- a/2024/lessons/l17_split_apply_combine.html
+++ b/2024/lessons/l17_split_apply_combine.html
@@ -223,7 +223,7 @@ <h2>The data set<a class="headerlink" href="#The-data-set" title="Link to this h
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;data/gfmt_sleep.csv&#39;</span><span class="p">,</span> <span class="n">na_values</span><span class="o">=</span><span class="s1">&#39;*&#39;</span><span class="p">)</span>
-<span class="n">df</span><span class="p">[</span><span class="s1">&#39;insomnia&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;sci&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="mi">16</span>
+<span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">insomnia</span><span class="o">=</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;sci&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="mi">16</span><span class="p">)</span>
 
 <span class="c1"># Take a look</span>
 <span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
@@ -404,7 +404,7 @@ <h3>Aggregation: Median percent correct<a class="headerlink" href="#Aggregation:
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-&lt;pandas.core.groupby.generic.DataFrameGroupBy object at 0x1208c3d90&gt;
+&lt;pandas.core.groupby.generic.DataFrameGroupBy object at 0x138635d10&gt;
 </pre></div></div>
 </div>
 <p>There is not much to see in the <code class="docutils literal notranslate"><span class="pre">DataFrameGroupBy</span></code> object that resulted. But there is a lot we can do with this object. Typing <code class="docutils literal notranslate"><span class="pre">grouped.</span></code> and hitting tab will show you the many possibilities. For most of these possibilities, the apply and combine steps happen together and a new data frame is returned. The <code class="docutils literal notranslate"><span class="pre">grouped.median()</span></code> method is exactly what we want.</p>
@@ -784,7 +784,9 @@ <h2>Transformation<a class="headerlink" href="#Transformation" title="Link to th
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[9]:
 </pre></div>
 </div>
-<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;rank grouped by insomnia&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">grouped</span><span class="p">[</span><span class="s1">&#39;percent correct&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">rank</span><span class="p">(</span><span class="n">method</span><span class="o">=</span><span class="s1">&#39;first&#39;</span><span class="p">)</span>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+    <span class="o">**</span><span class="p">{</span><span class="s2">&quot;rank grouped by insomnia&quot;</span><span class="p">:</span> <span class="n">grouped</span><span class="p">[</span><span class="s2">&quot;percent correct&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">rank</span><span class="p">(</span><span class="n">method</span><span class="o">=</span><span class="s2">&quot;first&quot;</span><span class="p">)}</span>
+<span class="p">)</span>
 
 <span class="c1"># Take a look</span>
 <span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
@@ -1072,7 +1074,7 @@ <h2>Aggregating and transforming with custom functions<a class="headerlink" href
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">cols</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">columns</span><span class="p">[(</span><span class="n">df</span><span class="o">.</span><span class="n">columns</span> <span class="o">!=</span> <span class="s1">&#39;gender&#39;</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">df</span><span class="o">.</span><span class="n">columns</span> <span class="o">!=</span> <span class="s1">&#39;insomnia&#39;</span><span class="p">)]</span>
-<span class="n">grouped</span><span class="p">[</span><span class="n">cols</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">coeff_of_var</span><span class="p">)</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
+<span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;insomnia&#39;</span><span class="p">)[</span><span class="n">cols</span><span class="p">]</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">coeff_of_var</span><span class="p">)</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
 </pre></div>
 </div>
 </div>
@@ -1180,7 +1182,9 @@ <h2>Aggregating and transforming with custom functions<a class="headerlink" href
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[14]:
 </pre></div>
 </div>
-<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;ecdf_y grouped by insomnia&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">grouped</span><span class="p">[</span><span class="s1">&#39;percent correct&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">ecdf_y</span><span class="p">)</span>
+<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+    <span class="o">**</span><span class="p">{</span><span class="s2">&quot;ecdf_y grouped by insomnia&quot;</span><span class="p">:</span> <span class="n">grouped</span><span class="p">[</span><span class="s2">&quot;percent correct&quot;</span><span class="p">]</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">ecdf_y</span><span class="p">)}</span>
+<span class="p">)</span>
 
 <span class="c1"># Take a look</span>
 <span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
@@ -1880,7 +1884,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x127c8e210> 
+   <jinja2.runtime.BlockReference object at 0x12d105190> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l17_split_apply_combine.ipynb b/2024/lessons/l17_split_apply_combine.ipynb
index db3748d8..21c4345c 100644
--- a/2024/lessons/l17_split_apply_combine.ipynb
+++ b/2024/lessons/l17_split_apply_combine.ipynb
@@ -276,7 +276,7 @@
    ],
    "source": [
     "df = pd.read_csv('data/gfmt_sleep.csv', na_values='*')\n",
-    "df['insomnia'] = df['sci'] <= 16\n",
+    "df = df.assign(insomnia=df['sci'] <= 16)\n",
     "\n",
     "# Take a look\n",
     "df.head()"
@@ -325,7 +325,7 @@
     {
      "data": {
       "text/plain": [
-       "<pandas.core.groupby.generic.DataFrameGroupBy object at 0x1208c3d90>"
+       "<pandas.core.groupby.generic.DataFrameGroupBy object at 0x138635d10>"
       ]
      },
      "execution_count": 3,
@@ -1050,7 +1050,9 @@
     }
    ],
    "source": [
-    "df['rank grouped by insomnia'] = grouped['percent correct'].rank(method='first')\n",
+    "df = df.assign(\n",
+    "    **{\"rank grouped by insomnia\": grouped[\"percent correct\"].rank(method=\"first\")}\n",
+    ")\n",
     "\n",
     "# Take a look\n",
     "df.head()"
@@ -1351,7 +1353,7 @@
    ],
    "source": [
     "cols = df.columns[(df.columns != 'gender') & (df.columns != 'insomnia')]\n",
-    "grouped[cols].agg(coeff_of_var).reset_index()"
+    "df.groupby('insomnia')[cols].agg(coeff_of_var).reset_index()"
    ]
   },
   {
@@ -1589,7 +1591,9 @@
     }
    ],
    "source": [
-    "df['ecdf_y grouped by insomnia'] = grouped['percent correct'].transform(ecdf_y)\n",
+    "df = df.assign(\n",
+    "    **{\"ecdf_y grouped by insomnia\": grouped[\"percent correct\"].transform(ecdf_y)}\n",
+    ")\n",
     "\n",
     "# Take a look\n",
     "df.head()"
diff --git a/2024/lessons/l18_plotting.html b/2024/lessons/l18_plotting.html
index a8bdcb55..864aa03d 100644
--- a/2024/lessons/l18_plotting.html
+++ b/2024/lessons/l18_plotting.html
@@ -209,7 +209,7 @@ <h1>Lesson 18: Making plots<a class="headerlink" href="#Lesson-18:-Making-plots"
 </style>
 <div>
     <a href="https://bokeh.org" target="_blank" class="bk-notebook-logo"></a>
-    <span id="f2797d17-6d49-4c14-8b96-1b769f43d38d">Loading BokehJS ...</span>
+    <span id="bfcfb16b-2520-40e5-8d62-b6d477e7866a">Loading BokehJS ...</span>
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 </div>
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@@ -382,7 +382,7 @@ <h1>Lesson 18: Making plots<a class="headerlink" href="#Lesson-18:-Making-plots"
      "</div>"}};
 
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@@ -516,7 +516,7 @@ <h1>Lesson 18: Making plots<a class="headerlink" href="#Lesson-18:-Making-plots"
       console.log("Bokeh: BokehJS failed to load within specified timeout.");
       root._bokeh_failed_load = true;
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@@ -550,7 +550,7 @@ <h2>High-level and low-level plotting packages<a class="headerlink" href="#High-
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;data/gfmt_sleep.csv&#39;</span><span class="p">,</span> <span class="n">na_values</span><span class="o">=</span><span class="s1">&#39;*&#39;</span><span class="p">)</span>
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+<span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">insomnia</span><span class="o">=</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;sci&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="mi">16</span><span class="p">)</span>
 
 <span class="n">df</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;insomnia&#39;</span><span class="p">)[</span><span class="s1">&#39;percent correct&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">median</span><span class="p">()</span>
 </pre></div>
@@ -642,7 +642,7 @@ <h2>Bokeh’s grammar and our first plot with Bokeh<a class="headerlink" href="#
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+  const render_items = [{"docid":"68e36ed8-a7b2-4c05-8013-ea4b2e176d89","roots":{"p1250":"fb579391-9d80-473e-876a-ee3d4c96a6cc"},"root_ids":["p1250"]}];
   void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);
   }
   if (root.Bokeh !== undefined) {
@@ -1160,7 +1160,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157626350> 
+   <jinja2.runtime.BlockReference object at 0x11dcc44d0> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l18_plotting.ipynb b/2024/lessons/l18_plotting.ipynb
index e82c1aa4..2bc96e42 100644
--- a/2024/lessons/l18_plotting.ipynb
+++ b/2024/lessons/l18_plotting.ipynb
@@ -29,7 +29,7 @@
        "    </style>\n",
        "    <div>\n",
        "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-notebook-logo\"></a>\n",
-       "        <span id=\"f2797d17-6d49-4c14-8b96-1b769f43d38d\">Loading BokehJS ...</span>\n",
+       "        <span id=\"bfcfb16b-2520-40e5-8d62-b6d477e7866a\">Loading BokehJS ...</span>\n",
        "    </div>\n"
       ]
      },
@@ -202,7 +202,7 @@
        "     \"</div>\"}};\n",
        "\n",
        "  function display_loaded(error = null) {\n",
-       "    const el = document.getElementById(\"f2797d17-6d49-4c14-8b96-1b769f43d38d\");\n",
+       "    const el = document.getElementById(\"bfcfb16b-2520-40e5-8d62-b6d477e7866a\");\n",
        "    if (el != null) {\n",
        "      const html = (() => {\n",
        "        if (typeof root.Bokeh === \"undefined\") {\n",
@@ -336,7 +336,7 @@
        "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
        "      root._bokeh_failed_load = true;\n",
        "    } else if (force !== true) {\n",
-       "      const cell = $(document.getElementById(\"f2797d17-6d49-4c14-8b96-1b769f43d38d\")).parents('.cell').data().cell;\n",
+       "      const cell = $(document.getElementById(\"bfcfb16b-2520-40e5-8d62-b6d477e7866a\")).parents('.cell').data().cell;\n",
        "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
        "    }\n",
        "  }\n",
@@ -352,7 +352,7 @@
        "  }\n",
        "}(window));"
       ],
-      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"f2797d17-6d49-4c14-8b96-1b769f43d38d\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"f2797d17-6d49-4c14-8b96-1b769f43d38d\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
+      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"bfcfb16b-2520-40e5-8d62-b6d477e7866a\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"bfcfb16b-2520-40e5-8d62-b6d477e7866a\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -428,7 +428,7 @@
    ],
    "source": [
     "df = pd.read_csv('data/gfmt_sleep.csv', na_values='*')\n",
-    "df['insomnia'] = df['sci'] <= 16\n",
+    "df = df.assign(insomnia=df['sci'] <= 16)\n",
     "\n",
     "df.groupby('insomnia')['percent correct'].median()"
    ]
@@ -518,7 +518,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"fe6c9a49-8c3e-4e7c-8d3a-ea1fa9a19c0a\" data-root-id=\"p1001\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"e0778d11-69fd-4d02-9dc4-98351ba5aa73\" data-root-id=\"p1001\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -529,8 +529,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"1c8ce8f6-b1c8-4bf8-994b-f176e7e9d65b\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1001\",\"attributes\":{\"x_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1010\",\"attributes\":{\"start\":-5,\"end\":105}},\"y_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1011\",\"attributes\":{\"start\":-5,\"end\":105}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1012\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1013\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1008\"},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1044\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1035\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1036\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1037\"},\"data\":{\"type\":\"map\",\"entries\":[[\"index\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[102],\"dtype\":\"int32\",\"order\":\"little\"}],[\"participant 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+       "  const render_items = [{\"docid\":\"7c0f9cf2-9609-4985-b161-b68d3bf69fee\",\"roots\":{\"p1001\":\"e0778d11-69fd-4d02-9dc4-98351ba5aa73\"},\"root_ids\":[\"p1001\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -682,7 +682,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"daf1c92f-37c8-400e-b16a-f466089be927\" data-root-id=\"p1063\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"d4154554-fa9e-405e-b989-002ca214e578\" data-root-id=\"p1063\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -693,8 +693,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"c0e8187a-7ce0-49f4-916b-92378fab25a2\",\"roots\":{\"p1063\":\"d4154554-fa9e-405e-b989-002ca214e578\"},\"root_ids\":[\"p1063\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -788,7 +788,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"e2d35d47-34a2-4190-b78f-5edaffe93bce\" data-root-id=\"p1125\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"fbde4a5a-97bd-4c9b-bda3-84de513097ef\" data-root-id=\"p1125\" style=\"display: contents;\"></div>\n"
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      },
      "metadata": {},
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        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"a50ffb5a-7d90-4669-a9b9-c7ab6b638cb1\",\"roots\":{\"p1125\":\"fbde4a5a-97bd-4c9b-bda3-84de513097ef\"},\"root_ids\":[\"p1125\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -890,7 +890,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"a9be02be-eca2-4345-893d-811012f57360\" data-root-id=\"p1125\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"b2f58680-35d1-45e0-bba1-9244c4d41129\" data-root-id=\"p1125\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -901,8 +901,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"d0887410-123c-4f68-94b8-7bcfa3cb8de4\",\"roots\":{\"p1125\":\"b2f58680-35d1-45e0-bba1-9244c4d41129\"},\"root_ids\":[\"p1125\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -963,7 +963,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"b086fcb5-53a5-4f9c-97bc-6759634376b5\" data-root-id=\"p1250\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"bd7ac7ee-21a8-453a-b073-cea7b43cee60\" data-root-id=\"p1250\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -974,8 +974,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"54518d6d-258f-4172-ad7b-e457248ef47b\",\"roots\":{\"p1250\":\"bd7ac7ee-21a8-453a-b073-cea7b43cee60\"},\"root_ids\":[\"p1250\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1071,7 +1071,7 @@
      "data": {
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        "\n",
-       "  <div id=\"c15db730-873b-4ebe-95ef-1b0c192b914a\" data-root-id=\"p1250\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"fb579391-9d80-473e-876a-ee3d4c96a6cc\" data-root-id=\"p1250\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
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       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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diff --git a/2024/lessons/l19_high_level_plotting.html b/2024/lessons/l19_high_level_plotting.html
index a3fa5b13..354f5f41 100644
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 </style>
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-<div id="ca21fa4c-2d74-445d-a96a-b5116e442c28" data-root-id="p1001" style="display: contents;"></div></div>
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 </div>
 <div class="nboutput nblast docutils container">
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-  const render_items = [{"docid":"afcdd299-2de0-4dc4-92ab-bf9b5efca58c","roots":{"p2094":"cf0213ba-1c9b-46c3-b27d-d875faa7d58e"},"root_ids":["p2094"]}];
+  const docs_json = {"edc6d903-fea2-41d3-842f-1880491671c9":{"version":"3.4.1","title":"Bokeh 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+  const render_items = [{"docid":"edc6d903-fea2-41d3-842f-1880491671c9","roots":{"p2094":"c1c032b4-ba0e-4812-9ae8-2a7d5d09ec2a"},"root_ids":["p2094"]}];
   void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);
   }
   if (root.Bokeh !== undefined) {
@@ -1431,7 +1431,7 @@ <h2>ECDFs<a class="headerlink" href="#ECDFs" title="Link to this heading"></a
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-<div id="d9f13023-3bd2-4da7-ba27-5d11d01f217e" data-root-id="p2155" style="display: contents;"></div></div>
+<div id="fd71feef-dde9-4559-a5d6-9b840373db89" data-root-id="p2155" style="display: contents;"></div></div>
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@@ -1442,8 +1442,8 @@ <h2>ECDFs<a class="headerlink" href="#ECDFs" title="Link to this heading"></a
 var element = document.currentScript.previousSibling.previousSibling;
 (function(root) {
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-   <jinja2.runtime.BlockReference object at 0x117b529d0> 
+   <jinja2.runtime.BlockReference object at 0x11dd5c150> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l19_high_level_plotting.ipynb b/2024/lessons/l19_high_level_plotting.ipynb
index 6d387786..06d8888d 100644
--- a/2024/lessons/l19_high_level_plotting.ipynb
+++ b/2024/lessons/l19_high_level_plotting.ipynb
@@ -27,7 +27,7 @@
        "    </style>\n",
        "    <div>\n",
        "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-notebook-logo\"></a>\n",
-       "        <span id=\"a34095f4-bb7f-4eec-8850-6713252b423a\">Loading BokehJS ...</span>\n",
+       "        <span id=\"e7f5a0af-e907-4b8c-a916-397274583f6c\">Loading BokehJS ...</span>\n",
        "    </div>\n"
       ]
      },
@@ -200,7 +200,7 @@
        "     \"</div>\"}};\n",
        "\n",
        "  function display_loaded(error = null) {\n",
-       "    const el = document.getElementById(\"a34095f4-bb7f-4eec-8850-6713252b423a\");\n",
+       "    const el = document.getElementById(\"e7f5a0af-e907-4b8c-a916-397274583f6c\");\n",
        "    if (el != null) {\n",
        "      const html = (() => {\n",
        "        if (typeof root.Bokeh === \"undefined\") {\n",
@@ -334,7 +334,7 @@
        "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
        "      root._bokeh_failed_load = true;\n",
        "    } else if (force !== true) {\n",
-       "      const cell = $(document.getElementById(\"a34095f4-bb7f-4eec-8850-6713252b423a\")).parents('.cell').data().cell;\n",
+       "      const cell = $(document.getElementById(\"e7f5a0af-e907-4b8c-a916-397274583f6c\")).parents('.cell').data().cell;\n",
        "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
        "    }\n",
        "  }\n",
@@ -350,7 +350,7 @@
        "  }\n",
        "}(window));"
       ],
-      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"a34095f4-bb7f-4eec-8850-6713252b423a\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"a34095f4-bb7f-4eec-8850-6713252b423a\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
+      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"e7f5a0af-e907-4b8c-a916-397274583f6c\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"e7f5a0af-e907-4b8c-a916-397274583f6c\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -728,7 +728,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"ca21fa4c-2d74-445d-a96a-b5116e442c28\" data-root-id=\"p1001\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"fb7403c2-0fa0-4204-a6dd-899340c9314d\" data-root-id=\"p1001\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -739,8 +739,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"8435dca7-0b61-4df4-81f0-594868e2a7c7\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1001\",\"attributes\":{\"x_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1003\",\"attributes\":{\"start\":0}},\"y_range\":{\"type\":\"object\",\"name\":\"FactorRange\",\"id\":\"p1010\",\"attributes\":{\"factors\":[\"IV\",\"III\",\"II\",\"I\"]}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1011\"},\"y_scale\":{\"type\":\"object\",\"name\":\"CategoricalScale\",\"id\":\"p1012\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1008\"},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1036\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1027\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1028\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1029\"},\"data\":{\"type\":\"map\",\"entries\":[[\"index\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAAEAAAACAAAAAwAAAA==\"},\"shape\":[4],\"dtype\":\"int32\",\"order\":\"little\"}],[\"ID\",{\"type\":\"ndarray\",\"array\":[\"I\",\"II\",\"III\",\"IV\"],\"shape\":[4],\"dtype\":\"object\",\"order\":\"little\"}],[\"impact force (mN)\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"zczMzMzol0DNzMzMzBqGQM3MzMzMMIFAmpmZmZkxekA=\"},\"shape\":[4],\"dtype\":\"float64\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1037\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1038\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"HBar\",\"id\":\"p1033\",\"attributes\":{\"y\":{\"type\":\"field\",\"field\":\"ID\"},\"height\":{\"type\":\"value\",\"value\":0.6},\"right\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"HBar\",\"id\":\"p1034\",\"attributes\":{\"y\":{\"type\":\"field\",\"field\":\"ID\"},\"height\":{\"type\":\"value\",\"value\":0.6},\"right\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.1},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.1}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"HBar\",\"id\":\"p1035\",\"attributes\":{\"y\":{\"type\":\"field\",\"field\":\"ID\"},\"height\":{\"type\":\"value\",\"value\":0.6},\"right\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1009\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1023\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1024\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1025\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1026\"}]}},\"left\":[{\"type\":\"object\",\"name\":\"CategoricalAxis\",\"id\":\"p1018\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"CategoricalTicker\",\"id\":\"p1019\"},\"formatter\":{\"type\":\"object\",\"name\":\"CategoricalTickFormatter\",\"id\":\"p1020\"},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1021\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1013\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1014\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1015\"},\"axis_label\":\"impact force (mN)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1016\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1017\",\"attributes\":{\"axis\":{\"id\":\"p1013\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1022\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1018\"},\"grid_line_color\":null}}],\"frame_width\":400,\"frame_height\":200}}]}};\n",
-       "  const render_items = [{\"docid\":\"8435dca7-0b61-4df4-81f0-594868e2a7c7\",\"roots\":{\"p1001\":\"ca21fa4c-2d74-445d-a96a-b5116e442c28\"},\"root_ids\":[\"p1001\"]}];\n",
+       "  const docs_json = {\"ceabee29-198d-451f-af78-3daafd60627e\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1001\",\"attributes\":{\"x_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1003\",\"attributes\":{\"start\":0}},\"y_range\":{\"type\":\"object\",\"name\":\"FactorRange\",\"id\":\"p1010\",\"attributes\":{\"factors\":[\"IV\",\"III\",\"II\",\"I\"]}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1011\"},\"y_scale\":{\"type\":\"object\",\"name\":\"CategoricalScale\",\"id\":\"p1012\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1008\"},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1036\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1027\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1028\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1029\"},\"data\":{\"type\":\"map\",\"entries\":[[\"index\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAAEAAAACAAAAAwAAAA==\"},\"shape\":[4],\"dtype\":\"int32\",\"order\":\"little\"}],[\"ID\",{\"type\":\"ndarray\",\"array\":[\"I\",\"II\",\"III\",\"IV\"],\"shape\":[4],\"dtype\":\"object\",\"order\":\"little\"}],[\"impact force (mN)\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"zczMzMzol0DNzMzMzBqGQM3MzMzMMIFAmpmZmZkxekA=\"},\"shape\":[4],\"dtype\":\"float64\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1037\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1038\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"HBar\",\"id\":\"p1033\",\"attributes\":{\"y\":{\"type\":\"field\",\"field\":\"ID\"},\"height\":{\"type\":\"value\",\"value\":0.6},\"right\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"HBar\",\"id\":\"p1034\",\"attributes\":{\"y\":{\"type\":\"field\",\"field\":\"ID\"},\"height\":{\"type\":\"value\",\"value\":0.6},\"right\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.1},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.1}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"HBar\",\"id\":\"p1035\",\"attributes\":{\"y\":{\"type\":\"field\",\"field\":\"ID\"},\"height\":{\"type\":\"value\",\"value\":0.6},\"right\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1009\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1023\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1024\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1025\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1026\"}]}},\"left\":[{\"type\":\"object\",\"name\":\"CategoricalAxis\",\"id\":\"p1018\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"CategoricalTicker\",\"id\":\"p1019\"},\"formatter\":{\"type\":\"object\",\"name\":\"CategoricalTickFormatter\",\"id\":\"p1020\"},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1021\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1013\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1014\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1015\"},\"axis_label\":\"impact force (mN)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1016\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1017\",\"attributes\":{\"axis\":{\"id\":\"p1013\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1022\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1018\"},\"grid_line_color\":null}}],\"frame_width\":400,\"frame_height\":200}}]}};\n",
+       "  const render_items = [{\"docid\":\"ceabee29-198d-451f-af78-3daafd60627e\",\"roots\":{\"p1001\":\"fb7403c2-0fa0-4204-a6dd-899340c9314d\"},\"root_ids\":[\"p1001\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -807,7 +807,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"c0769838-b794-4e84-8791-9eba4ae779a4\" data-root-id=\"p1041\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"d89fb939-35da-4fbe-bd0b-8b620c12f713\" data-root-id=\"p1041\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -818,8 +818,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"2d16c1e1-e237-44e0-803a-bdd58f823972\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1041\",\"attributes\":{\"x_range\":{\"type\":\"object\",\"name\":\"FactorRange\",\"id\":\"p1050\",\"attributes\":{\"factors\":[\"I\",\"II\",\"III\",\"IV\"]}},\"y_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1043\",\"attributes\":{\"start\":0}},\"x_scale\":{\"type\":\"object\",\"name\":\"CategoricalScale\",\"id\":\"p1051\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1052\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1048\"},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1080\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1027\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1028\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1029\"},\"data\":{\"type\":\"map\",\"entries\":[[\"index\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAAEAAAACAAAAAwAAAA==\"},\"shape\":[4],\"dtype\":\"int32\",\"order\":\"little\"}],[\"ID\",{\"type\":\"ndarray\",\"array\":[\"I\",\"II\",\"III\",\"IV\"],\"shape\":[4],\"dtype\":\"object\",\"order\":\"little\"}],[\"impact force (mN)\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"zczMzMzol0DNzMzMzBqGQM3MzMzMMIFAmpmZmZkxekA=\"},\"shape\":[4],\"dtype\":\"float64\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1081\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1082\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"VBar\",\"id\":\"p1077\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"ID\"},\"width\":{\"type\":\"value\",\"value\":0.6},\"top\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"VBar\",\"id\":\"p1078\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"ID\"},\"width\":{\"type\":\"value\",\"value\":0.6},\"top\":{\"type\":\"field\",\"field\":\"impact force 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(mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1049\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1063\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1064\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1065\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1066\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1071\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1072\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p1073\"}]}},\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1058\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1059\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1060\"},\"axis_label\":\"impact force (mN)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1061\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"CategoricalAxis\",\"id\":\"p1053\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"CategoricalTicker\",\"id\":\"p1054\"},\"formatter\":{\"type\":\"object\",\"name\":\"CategoricalTickFormatter\",\"id\":\"p1055\"},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1056\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1057\",\"attributes\":{\"axis\":{\"id\":\"p1053\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1062\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1058\"}}}],\"frame_width\":250,\"frame_height\":250}}]}};\n",
-       "  const render_items = [{\"docid\":\"2d16c1e1-e237-44e0-803a-bdd58f823972\",\"roots\":{\"p1041\":\"c0769838-b794-4e84-8791-9eba4ae779a4\"},\"root_ids\":[\"p1041\"]}];\n",
+       "  const docs_json = {\"9e8c03be-4cf5-4112-a975-2554b8f8c9c3\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1041\",\"attributes\":{\"x_range\":{\"type\":\"object\",\"name\":\"FactorRange\",\"id\":\"p1050\",\"attributes\":{\"factors\":[\"I\",\"II\",\"III\",\"IV\"]}},\"y_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1043\",\"attributes\":{\"start\":0}},\"x_scale\":{\"type\":\"object\",\"name\":\"CategoricalScale\",\"id\":\"p1051\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1052\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1048\"},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1080\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1027\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1028\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1029\"},\"data\":{\"type\":\"map\",\"entries\":[[\"index\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAAEAAAACAAAAAwAAAA==\"},\"shape\":[4],\"dtype\":\"int32\",\"order\":\"little\"}],[\"ID\",{\"type\":\"ndarray\",\"array\":[\"I\",\"II\",\"III\",\"IV\"],\"shape\":[4],\"dtype\":\"object\",\"order\":\"little\"}],[\"impact force (mN)\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"zczMzMzol0DNzMzMzBqGQM3MzMzMMIFAmpmZmZkxekA=\"},\"shape\":[4],\"dtype\":\"float64\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1081\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1082\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"VBar\",\"id\":\"p1077\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"ID\"},\"width\":{\"type\":\"value\",\"value\":0.6},\"top\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"VBar\",\"id\":\"p1078\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"ID\"},\"width\":{\"type\":\"value\",\"value\":0.6},\"top\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.1},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.1}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"VBar\",\"id\":\"p1079\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"ID\"},\"width\":{\"type\":\"value\",\"value\":0.6},\"top\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b4\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1049\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1063\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1064\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1065\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1066\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1071\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1072\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p1073\"}]}},\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1058\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1059\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1060\"},\"axis_label\":\"impact force (mN)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1061\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"CategoricalAxis\",\"id\":\"p1053\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"CategoricalTicker\",\"id\":\"p1054\"},\"formatter\":{\"type\":\"object\",\"name\":\"CategoricalTickFormatter\",\"id\":\"p1055\"},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1056\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1057\",\"attributes\":{\"axis\":{\"id\":\"p1053\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1062\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1058\"}}}],\"frame_width\":250,\"frame_height\":250}}]}};\n",
+       "  const render_items = [{\"docid\":\"9e8c03be-4cf5-4112-a975-2554b8f8c9c3\",\"roots\":{\"p1041\":\"d89fb939-35da-4fbe-bd0b-8b620c12f713\"},\"root_ids\":[\"p1041\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -931,7 +931,7 @@
      "data": {
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+       "  const render_items = [{\"docid\":\"a47c77a8-016c-48d5-b224-47e2bf8302b6\",\"roots\":{\"p1086\":\"d721d1f0-7d5f-4da3-a416-c981415ebb13\"},\"root_ids\":[\"p1086\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1029,7 +1029,7 @@
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+       "  const render_items = [{\"docid\":\"f60981b0-bfe0-4373-bdd1-8cb0330aae9c\",\"roots\":{\"p1173\":\"b051a12d-0106-4579-b545-b95a9b896488\"},\"root_ids\":[\"p1173\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1108,7 +1108,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"ff8aed1e-7921-4b65-925a-26d1ce1e06a2\" data-root-id=\"p1220\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"e027080f-d490-4acd-b204-7fad8379edf7\" data-root-id=\"p1220\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1119,8 +1119,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"eb8df920-095a-4d70-be22-8b0471903ef9\",\"roots\":{\"p1220\":\"e027080f-d490-4acd-b204-7fad8379edf7\"},\"root_ids\":[\"p1220\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1180,7 +1180,7 @@
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        "\n",
-       "  <div id=\"c0909a27-065b-4b39-bc6a-781bba895e2e\" data-root-id=\"p1331\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"dcf4ca8e-cd8c-4b33-bee0-6275051959a9\" data-root-id=\"p1331\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
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        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"49f1a71b-e78d-4d59-bc98-e2fb0508bab7\",\"roots\":{\"p1331\":\"dcf4ca8e-cd8c-4b33-bee0-6275051959a9\"},\"root_ids\":[\"p1331\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1252,7 +1252,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"c9564c58-92b5-4c3e-86ab-70dc3af2e255\" data-root-id=\"p1860\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"aa3c1ae4-6b86-450a-babb-11b7afa5f826\" data-root-id=\"p1860\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1263,8 +1263,8 @@
       "application/javascript": [
        "(function(root) {\n",
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+       "  const render_items = [{\"docid\":\"5201a519-5ae6-4bf9-b841-aa7fae88b38a\",\"roots\":{\"p1860\":\"aa3c1ae4-6b86-450a-babb-11b7afa5f826\"},\"root_ids\":[\"p1860\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1333,7 +1333,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"e2180afc-b8b8-4e55-bd69-da0eb8270754\" data-root-id=\"p1988\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"b87edc9d-78a0-4ed7-b55c-9be7531bf6ec\" data-root-id=\"p1988\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1344,8 +1344,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"e0afa285-0f0f-437a-9cad-ea7b105e172b\":{\"version\":\"3.4.1\",\"title\":\"Bokeh 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-       "  const render_items = [{\"docid\":\"e0afa285-0f0f-437a-9cad-ea7b105e172b\",\"roots\":{\"p1988\":\"e2180afc-b8b8-4e55-bd69-da0eb8270754\"},\"root_ids\":[\"p1988\"]}];\n",
+       "  const docs_json = {\"00431045-da0a-4851-9900-60137225bfd1\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1988\",\"attributes\":{\"x_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1990\"},\"y_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1987\",\"attributes\":{\"start\":0}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1997\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1998\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1995\"},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p2029\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p2020\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p2021\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p2022\"},\"data\":{\"type\":\"map\",\"entries\":[[\"index\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAAEAAAACAAAAAwAAAAQAAAAFAAAABgAAAAcAAAAIAAAACQAAAAoAAAALAAAADAAAAA0AAAAOAAAADwAAAA==\"},\"shape\":[16],\"dtype\":\"int32\",\"order\":\"little\"}],[\"psqi\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"BAAAAAUAAAABAAAAAgAAAAcAAAADAAAACAAAAAYAAAAJAAAADQAAAAsAAAAMAAAACgAAAA4AAAAPAAAAAAAAAA==\"},\"shape\":[16],\"dtype\":\"int32\",\"order\":\"little\"}],[\"__count\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"DgAAAAwAAAAMAAAADAAAAAoAAAAKAAAABwAAAAcAAAAGAAAAAwAAAAIAAAACAAAAAgAAAAEAAAABAAAAAQAAAA==\"},\"shape\":[16],\"dtype\":\"int32\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p2030\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p2031\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Segment\",\"id\":\"p2026\",\"attributes\":{\"x0\":{\"type\":\"field\",\"field\":\"psqi\"},\"y0\":{\"type\":\"value\",\"value\":0},\"x1\":{\"type\":\"field\",\"field\":\"psqi\"},\"y1\":{\"type\":\"field\",\"field\":\"__count\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_width\":{\"type\":\"value\",\"value\":2}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Segment\",\"id\":\"p2027\",\"attributes\":{\"x0\":{\"type\":\"field\",\"field\":\"psqi\"},\"y0\":{\"type\":\"value\",\"value\":0},\"x1\":{\"type\":\"field\",\"field\":\"psqi\"},\"y1\":{\"type\":\"field\",\"field\":\"__count\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"line_width\":{\"type\":\"value\",\"value\":2}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Segment\",\"id\":\"p2028\",\"attributes\":{\"x0\":{\"type\":\"field\",\"field\":\"psqi\"},\"y0\":{\"type\":\"value\",\"value\":0},\"x1\":{\"type\":\"field\",\"field\":\"psqi\"},\"y1\":{\"type\":\"field\",\"field\":\"__count\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"line_width\":{\"type\":\"value\",\"value\":2}}}}},{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p2041\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p2032\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p2033\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p2034\"},\"data\":{\"type\":\"map\",\"entries\":[[\"index\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAAEAAAACAAAAAwAAAAQAAAAFAAAABgAAAAcAAAAIAAAACQAAAAoAAAALAAAADAAAAA0AAAAOAAAADwAAAA==\"},\"shape\":[16],\"dtype\":\"int32\",\"order\":\"little\"}],[\"psqi\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"BAAAAAUAAAABAAAAAgAAAAcAAAADAAAACAAAAAYAAAAJAAAADQAAAAsAAAAMAAAACgAAAA4AAAAPAAAAAAAAAA==\"},\"shape\":[16],\"dtype\":\"int32\",\"order\":\"little\"}],[\"__count\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"DgAAAAwAAAAMAAAADAAAAAoAAAAKAAAABwAAAAcAAAAGAAAAAwAAAAIAAAACAAAAAgAAAAEAAAABAAAAAQAAAA==\"},\"shape\":[16],\"dtype\":\"int32\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p2042\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p2043\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p2038\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"psqi\"},\"y\":{\"type\":\"field\",\"field\":\"__count\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p2039\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"psqi\"},\"y\":{\"type\":\"field\",\"field\":\"__count\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"fill_alpha\":{\"type\":\"val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+       "  const render_items = [{\"docid\":\"00431045-da0a-4851-9900-60137225bfd1\",\"roots\":{\"p1988\":\"b87edc9d-78a0-4ed7-b55c-9be7531bf6ec\"},\"root_ids\":[\"p1988\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1404,7 +1404,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"abad916e-e817-4aac-9710-3709f6b1a91f\" data-root-id=\"p2051\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"e2e258d3-59f7-4a26-8973-28adb947ca9b\" data-root-id=\"p2051\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1415,8 +1415,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"d9788983-3fd7-465a-b691-d8efb50af1a9\":{\"version\":\"3.4.1\",\"title\":\"Bokeh 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object\",\"name\":\"Grid\",\"id\":\"p2066\",\"attributes\":{\"axis\":{\"id\":\"p2062\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2071\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p2067\"}}}],\"frame_width\":375,\"frame_height\":275}}]}};\n",
-       "  const render_items = [{\"docid\":\"d9788983-3fd7-465a-b691-d8efb50af1a9\",\"roots\":{\"p2051\":\"abad916e-e817-4aac-9710-3709f6b1a91f\"},\"root_ids\":[\"p2051\"]}];\n",
+       "  const docs_json = {\"aece0e77-8e81-46cb-813e-24be9ae0cda1\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p2051\",\"attributes\":{\"x_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p2053\"},\"y_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p2050\",\"attributes\":{\"start\":0}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p2060\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p2061\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p2058\"},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p2089\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p2083\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p2084\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p2085\"},\"data\":{\"type\":\"map\",\"entries\":[[\"x\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"4D20Y8ElDcDgPbRjwSUNwDWMimLVxArANYyKYtXECsCL2mBh6WMIwIvaYGHpYwjA4Cg3YP0CBsDgKDdg/QIGwDZ3DV8RogPANncNXxGiA8CLxeNdJUEBwIvF410lQQHAwCd0uXLA/b/AJ3S5csD9v2zEILea/vi/bMQgt5r++L8WYc20wjz0vxZhzbTCPPS/gPvzZNX17r+A+/Nk1fXuv9g0TWAlcuW/2DRNYCVy5b9Y3Ey36tzXv1jcTLfq3Ne/ADz9typWs78APP23Klazv6B8nLaqY8w/oHyctqpjzD/Q5U2ympzgP9DlTbKanOA/gKz0tkog6j+ArPS2SiDqP5S5zV390fE/lLnNXf3R8T/oHCFg1ZP2P+gcIWDVk/Y/QIB0Yq1V+z9AgHRirVX7P8rxY7LCCwBAyvFjssILAEB0o42zrmwCQHSjjbOubAJAIFW3tJrNBEAgVbe0ms0EQA==\"},\"shape\":[44],\"dtype\":\"float64\",\"order\":\"little\"}],[\"y\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"AAAAAAAAAAAAAAAAAADwPwAAAAAAAPA/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAABAAAAAAAAAFEAAAAAAAAAUQAAAAAAAAAhAAAAAAAAACEAAAAAAAAAuQAAAAAAAAC5AAAAAAAAALkAAAAAAAAAuQAAAAAAAAEFAAAAAAAAAQUAAAAAAAABAQAAAAAAAAEBAAAAAAAAASkAAAAAAAABKQAAAAAAAQFFAAAAAAABAUUAAAAAAAEBQQAAAAAAAQFBAAAAAAACAT0AAAAAAAIBPQAAAAAAAAEtAAAAAAAAAS0AAAAAAAABBQAAAAAAAAEFAAAAAAAAAN0AAAAAAAAA3QAAAAAAAACZAAAAAAAAAJkAAAAAAAAAiQAAAAAAAACJAAAAAAAAAIEAAAAAAAAAgQAAAAAAAABRAAAAAAAAAFEAAAAAAAAAAAA==\"},\"shape\":[44],\"dtype\":\"float64\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p2090\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p2091\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p2086\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#1f77b3\",\"line_width\":2}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p2087\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#1f77b3\",\"line_alpha\":0.1,\"line_width\":2}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p2088\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#1f77b3\",\"line_alpha\":0.2,\"line_width\":2}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p2059\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p2072\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p2073\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p2074\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p2075\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p2080\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p2081\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p2082\"}]}},\"toolbar_location\":\"above\",\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2067\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2068\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2069\"},\"axis_label\":\"count\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2070\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2062\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2063\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2064\"},\"axis_label\":\"x\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2065\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2066\",\"attributes\":{\"axis\":{\"id\":\"p2062\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2071\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p2067\"}}}],\"frame_width\":375,\"frame_height\":275}}]}};\n",
+       "  const render_items = [{\"docid\":\"aece0e77-8e81-46cb-813e-24be9ae0cda1\",\"roots\":{\"p2051\":\"e2e258d3-59f7-4a26-8973-28adb947ca9b\"},\"root_ids\":[\"p2051\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1499,7 +1499,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"cf0213ba-1c9b-46c3-b27d-d875faa7d58e\" data-root-id=\"p2094\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"c1c032b4-ba0e-4812-9ae8-2a7d5d09ec2a\" data-root-id=\"p2094\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1510,8 +1510,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"afcdd299-2de0-4dc4-92ab-bf9b5efca58c\":{\"version\":\"3.4.1\",\"title\":\"Bokeh 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"value\",\"value\":\"#1f77b3\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"line_width\":{\"type\":\"value\",\"value\":2}}}}},{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p2150\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p2144\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p2145\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p2146\"},\"data\":{\"type\":\"map\"}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p2151\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p2152\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Ray\",\"id\":\"p2147\",\"attributes\":{\"x\":{\"type\":\"value\",\"value\":2.600392734379639},\"y\":{\"type\":\"value\",\"value\":1},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_width\":{\"type\":\"value\",\"value\":2}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Ray\",\"id\":\"p2148\",\"attributes\":{\"x\":{\"type\":\"value\",\"value\":2.600392734379639},\"y\":{\"type\":\"value\",\"value\":1},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"line_width\":{\"type\":\"value\",\"value\":2}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Ray\",\"id\":\"p2149\",\"attributes\":{\"x\":{\"type\":\"value\",\"value\":2.600392734379639},\"y\":{\"type\":\"value\",\"value\":1},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"line_width\":{\"type\":\"value\",\"value\":2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p2102\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p2115\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p2116\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p2117\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p2118\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p2123\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p2124\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p2125\"}]}},\"toolbar_location\":\"above\",\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2110\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2111\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2112\"},\"axis_label\":\"ECDF\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2113\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p2105\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p2106\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p2107\"},\"axis_label\":\"x\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2108\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2109\",\"attributes\":{\"axis\":{\"id\":\"p2105\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2114\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p2110\"}}}],\"frame_width\":375,\"frame_height\":275}}]}};\n",
-       "  const render_items = [{\"docid\":\"afcdd299-2de0-4dc4-92ab-bf9b5efca58c\",\"roots\":{\"p2094\":\"cf0213ba-1c9b-46c3-b27d-d875faa7d58e\"},\"root_ids\":[\"p2094\"]}];\n",
+       "  const docs_json = {\"edc6d903-fea2-41d3-842f-1880491671c9\":{\"version\":\"3.4.1\",\"title\":\"Bokeh 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+       "  const render_items = [{\"docid\":\"edc6d903-fea2-41d3-842f-1880491671c9\",\"roots\":{\"p2094\":\"c1c032b4-ba0e-4812-9ae8-2a7d5d09ec2a\"},\"root_ids\":[\"p2094\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1565,7 +1565,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"d9f13023-3bd2-4da7-ba27-5d11d01f217e\" data-root-id=\"p2155\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"fd71feef-dde9-4559-a5d6-9b840373db89\" data-root-id=\"p2155\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1576,8 +1576,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"fbded40e-4587-404d-868e-4635bc4951d4\",\"roots\":{\"p2155\":\"fd71feef-dde9-4559-a5d6-9b840373db89\"},\"root_ids\":[\"p2155\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1635,7 +1635,7 @@
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+       "  <div id=\"aecc0db4-7004-4768-950e-da8a88ed9195\" data-root-id=\"p2308\" style=\"display: contents;\"></div>\n"
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      "metadata": {},
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+       "  const render_items = [{\"docid\":\"a5854c21-bd15-404a-bf1c-4bc592d59e9d\",\"roots\":{\"p2308\":\"aecc0db4-7004-4768-950e-da8a88ed9195\"},\"root_ids\":[\"p2308\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1706,7 +1706,7 @@
      "data": {
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        "\n",
-       "  <div id=\"b6e91ab2-4ccb-4b90-ab96-0e9906662270\" data-root-id=\"p2308\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"ce098cf6-8c54-4d4a-a088-99f23d968344\" data-root-id=\"p2308\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1717,8 +1717,8 @@
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        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"048f1c08-d08f-48a8-b700-3d29b91e58e3\",\"roots\":{\"p2308\":\"ce098cf6-8c54-4d4a-a088-99f23d968344\"},\"root_ids\":[\"p2308\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
diff --git a/2024/lessons/l20_styling_bokeh.html b/2024/lessons/l20_styling_bokeh.html
index 52fb0d56..966dbac3 100644
--- a/2024/lessons/l20_styling_bokeh.html
+++ b/2024/lessons/l20_styling_bokeh.html
@@ -214,7 +214,7 @@ <h1>Lesson 20: Styling Bokeh plots<a class="headerlink" href="#Lesson-20:-Stylin
 </style>
 <div>
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 </div></div>
 </div>
 <div class="nboutput nblast docutils container">
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   function display_loaded(error = null) {
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+<span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">insomnia</span><span class="o">=</span><span class="n">df</span><span class="p">[</span><span class="s2">&quot;sci&quot;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="mi">16</span><span class="p">)</span>
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incorrect"},"size":{"type":"value","value":5},"line_color":{"type":"value","value":"#ff7e0e"},"line_alpha":{"type":"value","value":0.2},"line_width":{"type":"value","value":0},"fill_color":{"type":"value","value":"#ff7e0e"},"fill_alpha":{"type":"value","value":0.2},"hatch_color":{"type":"value","value":"#ff7e0e"},"hatch_alpha":{"type":"value","value":0.2}}}}}],"toolbar":{"type":"object","name":"Toolbar","id":"p1991","attributes":{"tools":[{"type":"object","name":"PanTool","id":"p2006"},{"type":"object","name":"WheelZoomTool","id":"p2007","attributes":{"renderers":"auto"}},{"type":"object","name":"BoxZoomTool","id":"p2008","attributes":{"overlay":{"type":"object","name":"BoxAnnotation","id":"p2009","attributes":{"syncable":false,"level":"overlay","visible":false,"left":{"type":"number","value":"nan"},"right":{"type":"number","value":"nan"},"top":{"type":"number","value":"nan"},"bottom":{"type":"number","value":"nan"},"left_units":"canvas","right_units":"canvas","top_units":"canvas","bottom_units":"canvas","line_color":"black","line_alpha":1.0,"line_width":2,"line_dash":[4,4],"fill_color":"lightgrey","fill_alpha":0.5}}}},{"type":"object","name":"SaveTool","id":"p2014"},{"type":"object","name":"ResetTool","id":"p2015"},{"type":"object","name":"HelpTool","id":"p2016"}]}},"toolbar_location":"above","left":[{"type":"object","name":"LinearAxis","id":"p2001","attributes":{"level":"overlay","ticker":{"type":"object","name":"BasicTicker","id":"p2002","attributes":{"mantissas":[1,2,5]}},"formatter":{"type":"object","name":"BasicTickFormatter","id":"p2003"},"axis_label":"condifence when incorrect","axis_label_text_font_size":"9pt","axis_label_text_font_style":"bold","major_label_policy":{"type":"object","name":"AllLabels","id":"p2004"},"major_label_text_font_size":"7.5pt","axis_line_color":"dimgray","major_tick_line_color":"dimgray"}}],"right":[{"type":"object","name":"Legend","id":"p2035","attributes":{"level":"overlay","title_text_font":"helvetica","title_text_font_size":"8pt","title_text_font_style":"bold","border_line_color":"darkgray","border_line_width":0.75,"background_fill_color":"#ffffff","background_fill_alpha":0.7,"click_policy":"hide","label_text_font":"helvetica","label_text_font_size":"7.5pt","items":[{"type":"object","name":"LegendItem","id":"p2036","attributes":{"label":{"type":"value","value":"normal"},"renderers":[{"id":"p2023"}]}},{"type":"object","name":"LegendItem","id":"p2037","attributes":{"label":{"type":"value","value":"insomnia"},"renderers":[{"id":"p2032"}]}}]}}],"below":[{"type":"object","name":"LinearAxis","id":"p1996","attributes":{"level":"overlay","ticker":{"type":"object","name":"BasicTicker","id":"p1997","attributes":{"mantissas":[1,2,5]}},"formatter":{"type":"object","name":"BasicTickFormatter","id":"p1998"},"axis_label":"confidence when correct","axis_label_text_font_size":"9pt","axis_label_text_font_style":"bold","major_label_policy":{"type":"object","name":"AllLabels","id":"p1999"},"major_label_text_font_size":"7.5pt","axis_line_color":"dimgray","major_tick_line_color":"dimgray"}}],"center":[{"type":"object","name":"Grid","id":"p2000","attributes":{"level":"underlay","axis":{"id":"p1996"},"grid_line_color":"lightgray"}},{"type":"object","name":"Grid","id":"p2005","attributes":{"level":"underlay","dimension":1,"axis":{"id":"p2001"},"grid_line_color":"lightgray"}}],"frame_width":300,"frame_height":300}}]}};
+  const render_items = [{"docid":"13afe487-adda-4918-9e9b-2cb79871c41f","roots":{"p1983":"ef584116-f82c-419a-994b-f2e8910aa459"},"root_ids":["p1983"]}];
   void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);
   }
   if (root.Bokeh !== undefined) {
@@ -1776,7 +1776,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x116e86610> 
+   <jinja2.runtime.BlockReference object at 0x14d6a1c10> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l20_styling_bokeh.ipynb b/2024/lessons/l20_styling_bokeh.ipynb
index 4cf5882f..4ddb5d5c 100644
--- a/2024/lessons/l20_styling_bokeh.ipynb
+++ b/2024/lessons/l20_styling_bokeh.ipynb
@@ -27,7 +27,7 @@
        "    </style>\n",
        "    <div>\n",
        "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-notebook-logo\"></a>\n",
-       "        <span id=\"ee6b9d26-3444-4683-9acc-67d0d286edd7\">Loading BokehJS ...</span>\n",
+       "        <span id=\"e7407e54-5d8d-4b8f-8ccb-4d803c4e290b\">Loading BokehJS ...</span>\n",
        "    </div>\n"
       ]
      },
@@ -200,7 +200,7 @@
        "     \"</div>\"}};\n",
        "\n",
        "  function display_loaded(error = null) {\n",
-       "    const el = document.getElementById(\"ee6b9d26-3444-4683-9acc-67d0d286edd7\");\n",
+       "    const el = document.getElementById(\"e7407e54-5d8d-4b8f-8ccb-4d803c4e290b\");\n",
        "    if (el != null) {\n",
        "      const html = (() => {\n",
        "        if (typeof root.Bokeh === \"undefined\") {\n",
@@ -334,7 +334,7 @@
        "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
        "      root._bokeh_failed_load = true;\n",
        "    } else if (force !== true) {\n",
-       "      const cell = $(document.getElementById(\"ee6b9d26-3444-4683-9acc-67d0d286edd7\")).parents('.cell').data().cell;\n",
+       "      const cell = $(document.getElementById(\"e7407e54-5d8d-4b8f-8ccb-4d803c4e290b\")).parents('.cell').data().cell;\n",
        "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
        "    }\n",
        "  }\n",
@@ -350,7 +350,7 @@
        "  }\n",
        "}(window));"
       ],
-      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"ee6b9d26-3444-4683-9acc-67d0d286edd7\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"ee6b9d26-3444-4683-9acc-67d0d286edd7\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
+      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"e7407e54-5d8d-4b8f-8ccb-4d803c4e290b\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"e7407e54-5d8d-4b8f-8ccb-4d803c4e290b\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -432,7 +432,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"ee062076-2262-4f2e-b237-7a663b6da9df\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"aa8d791f-a621-4af3-aa7a-0e2a1b3546c9\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -443,8 +443,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"e6c1faf7-c7d4-4f35-893e-2b7c13dafd1b\":{\"version\":\"3.4.1\",\"title\":\"Bokeh 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+       "  const render_items = [{\"docid\":\"808f4846-a1cc-47e7-b4ed-64f55907862c\",\"roots\":{\"p1002\":\"aa8d791f-a621-4af3-aa7a-0e2a1b3546c9\"},\"root_ids\":[\"p1002\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -503,7 +503,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"c5d0a9a6-ec2f-4fd9-a649-b29b0574458f\" data-root-id=\"p1089\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"da455536-4e98-402a-8053-88264e3ebb32\" data-root-id=\"p1089\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -514,8 +514,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"aa980df7-c71f-4fb1-9ef7-c7e00e823ff5\",\"roots\":{\"p1089\":\"da455536-4e98-402a-8053-88264e3ebb32\"},\"root_ids\":[\"p1089\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -579,7 +579,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"ab6b79cf-6f4d-43ce-869d-a4da297fadaa\" data-root-id=\"p1191\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"fc359224-bbc0-4d13-8b74-4b07095e4fb7\" data-root-id=\"p1191\" style=\"display: contents;\"></div>\n"
       ]
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      "metadata": {},
@@ -590,8 +590,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"44ec0a4b-6a5b-4172-a034-4c5fb08a8a0d\",\"roots\":{\"p1191\":\"fc359224-bbc0-4d13-8b74-4b07095e4fb7\"},\"root_ids\":[\"p1191\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -651,7 +651,7 @@
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+       "  <div id=\"a22a06ec-475a-4d3d-9473-bfe2de74cb26\" data-root-id=\"p1238\" style=\"display: contents;\"></div>\n"
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        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"f7ec283d-180c-48ee-99ed-3244175844aa\",\"roots\":{\"p1238\":\"a22a06ec-475a-4d3d-9473-bfe2de74cb26\"},\"root_ids\":[\"p1238\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -728,7 +728,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"c035a9bf-24c3-4061-b294-f23253bb3978\" data-root-id=\"p1287\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"bbcf4d61-95aa-4da4-8739-5cd2d25f2b35\" data-root-id=\"p1287\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -739,8 +739,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"13d1671e-8d06-46e8-b34a-2208bbe1f612\",\"roots\":{\"p1287\":\"bbcf4d61-95aa-4da4-8739-5cd2d25f2b35\"},\"root_ids\":[\"p1287\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -805,7 +805,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"c99f608e-fecc-4698-be79-056accd0cadf\" data-root-id=\"p1335\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"f48d507b-6875-42d0-b611-076b17aea28f\" data-root-id=\"p1335\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -816,8 +816,8 @@
       "application/javascript": [
        "(function(root) {\n",
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(mN)\"},\"y\":{\"type\":\"field\",\"field\":\"cat\"},\"line_color\":{\"type\":\"value\",\"value\":\"#d62628\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"#d62628\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_color\":{\"type\":\"value\",\"value\":\"#d62628\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}},{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1424\",\"attributes\":{\"name\":\"hover_glyphs\",\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1415\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1416\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1417\"},\"data\":{\"type\":\"map\",\"entries\":[[\"index\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"DgAAABMAAAA=\"},\"shape\":[2],\"dtype\":\"int32\",\"order\":\"little\"}],[\"ID\",{\"type\":\"ndarray\",\"array\":[\"I\",\"I\"],\"shape\":[2],\"dtype\":\"object\",\"order\":\"little\"}],[\"trial number\",{\"type\":\"ndarray\",\"array\":[\"5\",\"5\"],\"shape\":[2],\"dtype\":\"object\",\"order\":\"little\"}],[\"impact force (mN)\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"BwYAANkBAAA=\"},\"shape\":[2],\"dtype\":\"int32\",\"order\":\"little\"}],[\"cat\",{\"type\":\"ndarray\",\"array\":[[\"I\",\"5\"],[\"I\",\"5\"]],\"shape\":[2],\"dtype\":\"object\",\"order\":\"little\"}],[\"__label\",{\"type\":\"ndarray\",\"array\":[\"5\",\"5\"],\"shape\":[2],\"dtype\":\"object\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1425\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1426\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p1421\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"y\":{\"type\":\"field\",\"field\":\"cat\"},\"line_color\":{\"type\":\"value\",\"value\":\"#9367bc\"},\"fill_color\":{\"type\":\"value\",\"value\":\"#9367bc\"},\"hatch_color\":{\"type\":\"value\",\"value\":\"#9367bc\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p1422\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"y\":{\"type\":\"field\",\"field\":\"cat\"},\"line_color\":{\"type\":\"value\",\"value\":\"#9367bc\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.1},\"fill_color\":{\"type\":\"value\",\"value\":\"#9367bc\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.1},\"hatch_color\":{\"type\":\"value\",\"value\":\"#9367bc\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.1}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p1423\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"impact force (mN)\"},\"y\":{\"type\":\"field\",\"field\":\"cat\"},\"line_color\":{\"type\":\"value\",\"value\":\"#9367bc\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"#9367bc\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_color\":{\"type\":\"value\",\"value\":\"#9367bc\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1343\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1356\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1357\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1358\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1359\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1364\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1365\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p1366\"}]}},\"toolbar_location\":\"above\",\"left\":[{\"type\":\"object\",\"name\":\"CategoricalAxis\",\"id\":\"p1351\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"CategoricalTicker\",\"id\":\"p1352\"},\"formatter\":{\"type\":\"object\",\"name\":\"CategoricalTickFormatter\",\"id\":\"p1353\"},\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1354\"}}}],\"right\":[{\"type\":\"object\",\"name\":\"Legend\",\"id\":\"p1427\",\"attributes\":{\"location\":\"center\",\"title\":\"trial number\",\"click_policy\":\"hide\",\"items\":[{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1428\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"1\"},\"renderers\":[{\"id\":\"p1376\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1429\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"2\"},\"renderers\":[{\"id\":\"p1388\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1430\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"3\"},\"renderers\":[{\"id\":\"p1400\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1431\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"4\"},\"renderers\":[{\"id\":\"p1412\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1432\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"5\"},\"renderers\":[{\"id\":\"p1424\"}]}}]}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1346\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1347\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1348\"},\"axis_label\":\"impact force (mN)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1349\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1350\",\"attributes\":{\"axis\":{\"id\":\"p1346\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1355\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1351\"},\"grid_line_color\":null}}],\"frame_height\":275}}]}};\n",
+       "  const render_items = [{\"docid\":\"3dd5f76f-cd51-4a38-a749-e8a819b798ad\",\"roots\":{\"p1335\":\"f48d507b-6875-42d0-b611-076b17aea28f\"},\"root_ids\":[\"p1335\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -879,7 +879,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"d4bddedd-5bc5-43c5-b00b-2ba30d463720\" data-root-id=\"p1444\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"bae28590-515f-4f1b-93f6-d4dec18ae97e\" data-root-id=\"p1444\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -890,8 +890,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"55dcb6dd-e817-47b3-9760-df7a348667ad\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1444\",\"attributes\":{\"x_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1446\"},\"y_range\":{\"type\":\"object\",\"name\":\"DataRange1d\",\"id\":\"p1443\",\"attributes\":{\"start\":0}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1453\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1454\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1451\"},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1482\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1476\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1477\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1478\"},\"data\":{\"type\":\"map\",\"entries\":[[\"x\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[102],\"dtype\":\"float64\",\"order\":\"little\"}],[\"y\",{\"type\":\"ndarray\",\"array\":{\"type\":\"bytes\",\"data\":\"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\"},\"shape\":[102],\"dtype\":\"float64\",\"order\":\"little\"}]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1483\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1484\"}}},\"glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1479\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#1f77b3\",\"line_width\":2}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1480\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#1f77b3\",\"line_alpha\":0.1,\"line_width\":2}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Line\",\"id\":\"p1481\",\"attributes\":{\"x\":{\"type\":\"field\",\"field\":\"x\"},\"y\":{\"type\":\"field\",\"field\":\"y\"},\"line_color\":\"#1f77b3\",\"line_alpha\":0.2,\"line_width\":2}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1452\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1465\"},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1466\",\"attributes\":{\"renderers\":\"auto\"}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1467\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1468\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1473\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1474\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p1475\"}]}},\"toolbar_location\":\"above\",\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1460\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1461\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1462\"},\"axis_label\":\"density\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1463\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1455\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1456\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1457\"},\"axis_label\":\"x\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1458\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1459\",\"attributes\":{\"axis\":{\"id\":\"p1455\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1464\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1460\"}}}],\"frame_width\":375,\"frame_height\":275}}]}};\n",
-       "  const render_items = [{\"docid\":\"55dcb6dd-e817-47b3-9760-df7a348667ad\",\"roots\":{\"p1444\":\"d4bddedd-5bc5-43c5-b00b-2ba30d463720\"},\"root_ids\":[\"p1444\"]}];\n",
+       "  const docs_json = {\"f0b38c5f-afb8-41ce-b96a-0acdd2f77c83\":{\"version\":\"3.4.1\",\"title\":\"Bokeh 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canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1473\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1474\"},{\"type\":\"object\",\"name\":\"HelpTool\",\"id\":\"p1475\"}]}},\"toolbar_location\":\"above\",\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1460\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1461\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1462\"},\"axis_label\":\"density\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1463\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1455\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1456\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1457\"},\"axis_label\":\"x\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1458\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1459\",\"attributes\":{\"axis\":{\"id\":\"p1455\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1464\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1460\"}}}],\"frame_width\":375,\"frame_height\":275}}]}};\n",
+       "  const render_items = [{\"docid\":\"f0b38c5f-afb8-41ce-b96a-0acdd2f77c83\",\"roots\":{\"p1444\":\"bae28590-515f-4f1b-93f6-d4dec18ae97e\"},\"root_ids\":[\"p1444\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -951,7 +951,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"f02712c9-cc28-471b-b3b3-ee3df72afeaf\" data-root-id=\"p1487\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"bef2222b-336b-47a3-b0d1-e831ac480060\" data-root-id=\"p1487\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -962,8 +962,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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force (mN)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1501\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1502\",\"attributes\":{\"axis\":{\"id\":\"p1498\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1507\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1503\"}}}],\"frame_width\":375,\"frame_height\":275}}]}};\n",
+       "  const render_items = [{\"docid\":\"6bcee56e-7ce8-4ff1-9e72-00ebb19bacba\",\"roots\":{\"p1487\":\"bef2222b-336b-47a3-b0d1-e831ac480060\"},\"root_ids\":[\"p1487\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1026,7 +1026,7 @@
    "outputs": [],
    "source": [
     "df = pd.read_csv(\"data/gfmt_sleep.csv\", na_values=\"*\")\n",
-    "df[\"insomnia\"] = df[\"sci\"] <= 16"
+    "df = df.assign(insomnia=df[\"sci\"] <= 16)"
    ]
   },
   {
@@ -1148,7 +1148,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"aacf3106-1f71-4f9b-a385-49b463cff9e6\" data-root-id=\"p1593\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"adf36220-1bb2-4942-9afa-2ca0653cd204\" data-root-id=\"p1593\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1159,8 +1159,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"e5f8de54-410f-4c24-bc90-63f232013747\",\"roots\":{\"p1593\":\"adf36220-1bb2-4942-9afa-2ca0653cd204\"},\"root_ids\":[\"p1593\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1291,7 +1291,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"a5b79777-e635-4acf-ac87-e04629deb93e\" data-root-id=\"p1593\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"c7bae242-164e-4e98-beb9-ccc3b1a150b0\" data-root-id=\"p1593\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
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       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"f30d061c-9a9f-4e4b-8fa8-68a7bc237e09\",\"roots\":{\"p1593\":\"c7bae242-164e-4e98-beb9-ccc3b1a150b0\"},\"root_ids\":[\"p1593\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1477,7 +1477,7 @@
      "data": {
       "text/html": [
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-       "  <div id=\"c5ff29f0-b1a9-47e0-91f0-6c4ac25de317\" data-root-id=\"p1719\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"edc35149-bfe4-45fe-a51c-cfc586cafba7\" data-root-id=\"p1719\" style=\"display: contents;\"></div>\n"
       ]
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      "metadata": {},
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        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"9d93d9f4-e4d9-49e7-8918-f0fd554c4d11\",\"roots\":{\"p1719\":\"edc35149-bfe4-45fe-a51c-cfc586cafba7\"},\"root_ids\":[\"p1719\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1631,7 +1631,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"a223f4eb-3b9f-4ea4-ae84-ee8736f787db\" data-root-id=\"p1807\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"f4037073-35ee-48d3-a65b-913a2249b7ad\" data-root-id=\"p1807\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
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       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"377896d6-e49a-4d48-8e89-a3fb6997cc2c\",\"roots\":{\"p1807\":\"f4037073-35ee-48d3-a65b-913a2249b7ad\"},\"root_ids\":[\"p1807\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1695,7 +1695,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"f6401cf2-fdc0-4b50-8567-d108e2222aad\" data-root-id=\"p1895\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"d1c73b73-0d1e-4a64-8286-f4b6dec7492a\" data-root-id=\"p1895\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
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       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
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+       "  const render_items = [{\"docid\":\"119431c6-12e0-49d0-afd4-f73c1ced9225\",\"roots\":{\"p1895\":\"d1c73b73-0d1e-4a64-8286-f4b6dec7492a\"},\"root_ids\":[\"p1895\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1807,7 +1807,7 @@
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        "\n",
-       "  <div id=\"c539d257-bfe1-442a-9576-6128e48cde44\" data-root-id=\"p1983\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"ef584116-f82c-419a-994b-f2e8910aa459\" data-root-id=\"p1983\" style=\"display: contents;\"></div>\n"
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      "metadata": {},
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       "application/javascript": [
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        "  function embed_document(root) {\n",
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when incorrect\",\"axis_label_text_font_size\":\"9pt\",\"axis_label_text_font_style\":\"bold\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p2004\"},\"major_label_text_font_size\":\"7.5pt\",\"axis_line_color\":\"dimgray\",\"major_tick_line_color\":\"dimgray\"}}],\"right\":[{\"type\":\"object\",\"name\":\"Legend\",\"id\":\"p2035\",\"attributes\":{\"level\":\"overlay\",\"title_text_font\":\"helvetica\",\"title_text_font_size\":\"8pt\",\"title_text_font_style\":\"bold\",\"border_line_color\":\"darkgray\",\"border_line_width\":0.75,\"background_fill_color\":\"#ffffff\",\"background_fill_alpha\":0.7,\"click_policy\":\"hide\",\"label_text_font\":\"helvetica\",\"label_text_font_size\":\"7.5pt\",\"items\":[{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2036\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"normal\"},\"renderers\":[{\"id\":\"p2023\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p2037\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"insomnia\"},\"renderers\":[{\"id\":\"p2032\"}]}}]}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1996\",\"attributes\":{\"level\":\"overlay\",\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1997\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1998\"},\"axis_label\":\"confidence when correct\",\"axis_label_text_font_size\":\"9pt\",\"axis_label_text_font_style\":\"bold\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1999\"},\"major_label_text_font_size\":\"7.5pt\",\"axis_line_color\":\"dimgray\",\"major_tick_line_color\":\"dimgray\"}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2000\",\"attributes\":{\"level\":\"underlay\",\"axis\":{\"id\":\"p1996\"},\"grid_line_color\":\"lightgray\"}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p2005\",\"attributes\":{\"level\":\"underlay\",\"dimension\":1,\"axis\":{\"id\":\"p2001\"},\"grid_line_color\":\"lightgray\"}}],\"frame_width\":300,\"frame_height\":300}}]}};\n",
+       "  const render_items = [{\"docid\":\"13afe487-adda-4918-9e9b-2cb79871c41f\",\"roots\":{\"p1983\":\"ef584116-f82c-419a-994b-f2e8910aa459\"},\"root_ids\":[\"p1983\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
diff --git a/2024/lessons/l21_intro_to_numpy_and_scipy.html b/2024/lessons/l21_intro_to_numpy_and_scipy.html
index f9fdde00..cd2038dc 100644
--- a/2024/lessons/l21_intro_to_numpy_and_scipy.html
+++ b/2024/lessons/l21_intro_to_numpy_and_scipy.html
@@ -1866,7 +1866,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x136430a50> 
+   <jinja2.runtime.BlockReference object at 0x11dd4f1d0> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l22_plotting_time_series_generated_data.html b/2024/lessons/l22_plotting_time_series_generated_data.html
index 21a44813..2001384b 100644
--- a/2024/lessons/l22_plotting_time_series_generated_data.html
+++ b/2024/lessons/l22_plotting_time_series_generated_data.html
@@ -914,7 +914,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x15766ae50> 
+   <jinja2.runtime.BlockReference object at 0x14d6bac90> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l23_other_packages_and_languages.html b/2024/lessons/l23_other_packages_and_languages.html
index 0b9e36b6..0a3b78bb 100644
--- a/2024/lessons/l23_other_packages_and_languages.html
+++ b/2024/lessons/l23_other_packages_and_languages.html
@@ -602,7 +602,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157524c50> 
+   <jinja2.runtime.BlockReference object at 0x11dc12610> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l24_bootcamp_recap.html b/2024/lessons/l24_bootcamp_recap.html
index ad7a4472..755d5433 100644
--- a/2024/lessons/l24_bootcamp_recap.html
+++ b/2024/lessons/l24_bootcamp_recap.html
@@ -251,7 +251,7 @@ <h2>This is the beginning!<a class="headerlink" href="#This-is-the-beginning!" t
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x116fb9a90> 
+   <jinja2.runtime.BlockReference object at 0x12d8db710> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l25_random_number_generation.html b/2024/lessons/l25_random_number_generation.html
index 65e42525..ecba2865 100644
--- a/2024/lessons/l25_random_number_generation.html
+++ b/2024/lessons/l25_random_number_generation.html
@@ -1051,7 +1051,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1576fa990> 
+   <jinja2.runtime.BlockReference object at 0x14d803390> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l26_hackerstats_1.html b/2024/lessons/l26_hackerstats_1.html
index a724673d..3ccc7874 100644
--- a/2024/lessons/l26_hackerstats_1.html
+++ b/2024/lessons/l26_hackerstats_1.html
@@ -1231,7 +1231,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x116cf7310> 
+   <jinja2.runtime.BlockReference object at 0x1392c49d0> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l27_hackerstats_2.html b/2024/lessons/l27_hackerstats_2.html
index 347aee4b..6c01dfba 100644
--- a/2024/lessons/l27_hackerstats_2.html
+++ b/2024/lessons/l27_hackerstats_2.html
@@ -1015,7 +1015,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1367b3810> 
+   <jinja2.runtime.BlockReference object at 0x1199f9010> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l28_dashboards.html b/2024/lessons/l28_dashboards.html
index fde58ba4..63228ad7 100644
--- a/2024/lessons/l28_dashboards.html
+++ b/2024/lessons/l28_dashboards.html
@@ -208,7 +208,7 @@ <h1>Lesson 28: Dashboards<a class="headerlink" href="#Lesson-28:-Dashboards" tit
 </style>
 <div>
     <a href="https://bokeh.org" target="_blank" class="bk-notebook-logo"></a>
-    <span id="a5356216-ce80-4ac6-be13-4797a54856b5">Loading BokehJS ...</span>
+    <span id="e546d8f4-9dcc-4999-b379-d97850965b50">Loading BokehJS ...</span>
 </div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -381,7 +381,7 @@ <h1>Lesson 28: Dashboards<a class="headerlink" href="#Lesson-28:-Dashboards" tit
      "</div>"}};
 
   function display_loaded(error = null) {
-    const el = document.getElementById("a5356216-ce80-4ac6-be13-4797a54856b5");
+    const el = document.getElementById("e546d8f4-9dcc-4999-b379-d97850965b50");
     if (el != null) {
       const html = (() => {
         if (typeof root.Bokeh === "undefined") {
@@ -489,7 +489,7 @@ <h1>Lesson 28: Dashboards<a class="headerlink" href="#Lesson-28:-Dashboards" tit
     document.body.appendChild(element);
   }
 
-  const js_urls = ["https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.0.min.js"];
+  const js_urls = ["https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js"];
   const css_urls = [];
 
   const inline_js = [    function(Bokeh) {
@@ -515,7 +515,7 @@ <h1>Lesson 28: Dashboards<a class="headerlink" href="#Lesson-28:-Dashboards" tit
       console.log("Bokeh: BokehJS failed to load within specified timeout.");
       root._bokeh_failed_load = true;
     } else if (force !== true) {
-      const cell = $(document.getElementById("a5356216-ce80-4ac6-be13-4797a54856b5")).parents('.cell').data().cell;
+      const cell = $(document.getElementById("e546d8f4-9dcc-4999-b379-d97850965b50")).parents('.cell').data().cell;
       cell.output_area.append_execute_result(NB_LOAD_WARNING)
     }
   }
@@ -646,7 +646,7 @@ <h2>A simple example<a class="headerlink" href="#A-simple-example" title="Link t
 </div>
 <p>Now, we are ready to show the app. To show it, we need to specify the URL of the notebook so that the callback communicates properly with this notebook. The <code class="docutils literal notranslate"><span class="pre">notebook_url</span></code> keyword argument of <code class="docutils literal notranslate"><span class="pre">bokeh.io.show()</span></code> is a string containing the root URL for the notebook. In this case, I have specified it in the top cell as <code class="docutils literal notranslate"><span class="pre">'localhost:8888'</span></code>.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[8]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[9]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">bokeh</span><span class="o">.</span><span class="n">io</span><span class="o">.</span><span class="n">show</span><span class="p">(</span><span class="n">norm_app</span><span class="p">,</span> <span class="n">notebook_url</span><span class="o">=</span><span class="n">notebook_url</span><span class="p">)</span>
@@ -657,11 +657,11 @@ <h2>A simple example<a class="headerlink" href="#A-simple-example" title="Link t
 <div class="prompt empty docutils container">
 </div>
 <div class="output_area rendered_html docutils container">
-<script id="db8c0998-2b84-4036-a3c3-fedf36ce0057">
+<script id="c37478f3-a29d-4b06-97ba-11f683cb10b2">
   (function() {
     const xhr = new XMLHttpRequest()
     xhr.responseType = 'blob';
-    xhr.open('GET', "http://localhost:60795/autoload.js?bokeh-autoload-element=db8c0998-2b84-4036-a3c3-fedf36ce0057&bokeh-absolute-url=http://localhost:60795&resources=none", true);
+    xhr.open('GET', "http://localhost:53756/autoload.js?bokeh-autoload-element=c37478f3-a29d-4b06-97ba-11f683cb10b2&bokeh-absolute-url=http://localhost:53756&resources=none", true);
     xhr.onload = function (event) {
       const script = document.createElement('script');
       const src = URL.createObjectURL(event.target.response);
@@ -718,7 +718,7 @@ <h2>Using dashboards to explore parameters<a class="headerlink" href="#Using-das
 <p>This is a complicated function of these parameters, and we might want to see how the fold change vs. inducer concentration curve varies based on various parameter values. Dashboarding comes in very handy for this kind of application.</p>
 <p>To build our dashboard, we start by defining functions to compute the fold change as a function of the IPTG concentration and the parameters.</p>
 <div class="nbinput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[9]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[10]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">bohr_parameter</span><span class="p">(</span><span class="n">c</span><span class="p">,</span> <span class="n">R</span><span class="p">,</span> <span class="n">K</span><span class="p">,</span> <span class="n">KdA</span><span class="p">,</span> <span class="n">KdI</span><span class="p">,</span> <span class="n">Kswitch</span><span class="p">):</span>
@@ -740,7 +740,7 @@ <h2>Using dashboards to explore parameters<a class="headerlink" href="#Using-das
 <p>Next, we define our sliders. For convenience, we will store the sliders in a dictionary.</p>
 <p>As we explore this function, we would like the parameter to vary on a logarithmic scale. Bokeh does not allow logarithmic scale sliders (tough there is a hack to get around this that we will discuss in the Bokeh styling lesson).</p>
 <div class="nbinput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[10]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[11]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">sliders</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
@@ -765,7 +765,7 @@ <h2>Using dashboards to explore parameters<a class="headerlink" href="#Using-das
 </div>
 <p>Now, we’ll generate the plot, defining a ColumnDataSource that we can manipulate in callbacks.</p>
 <div class="nbinput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[11]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[12]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Concentration of inducer</span>
@@ -798,7 +798,7 @@ <h2>Using dashboards to explore parameters<a class="headerlink" href="#Using-das
 </div>
 <p>Next, we will write a callback to update the data and link the callback to the sliders.</p>
 <div class="nbinput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[12]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[13]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">induction_callback</span><span class="p">(</span><span class="n">attr</span><span class="p">,</span> <span class="n">old</span><span class="p">,</span> <span class="n">new</span><span class="p">):</span>
@@ -818,7 +818,7 @@ <h2>Using dashboards to explore parameters<a class="headerlink" href="#Using-das
 </div>
 <p>Finally, we can lay out our dashboard and explore the function.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[13]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[15]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">induction_layout</span> <span class="o">=</span> <span class="n">bokeh</span><span class="o">.</span><span class="n">layouts</span><span class="o">.</span><span class="n">row</span><span class="p">(</span>
@@ -841,11 +841,11 @@ <h2>Using dashboards to explore parameters<a class="headerlink" href="#Using-das
 <div class="prompt empty docutils container">
 </div>
 <div class="output_area rendered_html docutils container">
-<script id="ca1a927d-8dd3-4c48-b625-9eca6a6fe673">
+<script id="b5d12763-0a3f-4fc6-abd3-50a2e98b21df">
   (function() {
     const xhr = new XMLHttpRequest()
     xhr.responseType = 'blob';
-    xhr.open('GET', "http://localhost:60798/autoload.js?bokeh-autoload-element=ca1a927d-8dd3-4c48-b625-9eca6a6fe673&bokeh-absolute-url=http://localhost:60798&resources=none", true);
+    xhr.open('GET', "http://localhost:53759/autoload.js?bokeh-autoload-element=b5d12763-0a3f-4fc6-abd3-50a2e98b21df&bokeh-absolute-url=http://localhost:53759&resources=none", true);
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@@ -863,20 +863,20 @@ <h2>Using dashboards to explore parameters<a class="headerlink" href="#Using-das
 <h2>Exploring a data set<a class="headerlink" href="#Exploring-a-data-set" title="Link to this heading"></a></h2>
 <p>As an example of dashboarding put to use to explore a data set, we turn again to the data set from <a class="reference external" href="https://doi.org/10.1098/rsos.160321">Beattie, et al.</a> studying how sleep deprivation affects facial matching ability. Let’s load in the data set and take a look to remind ourselves of the variables.</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[14]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[16]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;data/gfmt_sleep.csv&#39;</span><span class="p">,</span> <span class="n">na_values</span><span class="o">=</span><span class="s1">&#39;*&#39;</span><span class="p">)</span>
 
 <span class="c1"># Add column for insomnia</span>
-<span class="n">df</span><span class="p">[</span><span class="s1">&#39;insomnia&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;sci&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="mi">16</span>
+<span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">insomnia</span><span class="o">=</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;sci&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="mi">16</span><span class="p">)</span>
 
 <span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
 </pre></div>
 </div>
 </div>
 <div class="nboutput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[14]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[16]:
 </pre></div>
 </div>
 <div class="output_area rendered_html docutils container">
@@ -1020,7 +1020,7 @@ <h2>Exploring a data set<a class="headerlink" href="#Exploring-a-data-set" title
 <p>Because the data is high-dimensional, it is difficult to visualize all of the data at once. We would like drop-down menus to choose what we want to plot and then have the plot update. Furthermore, we would like to choose a categorical column, such as <code class="docutils literal notranslate"><span class="pre">'insomnia'</span></code> or <code class="docutils literal notranslate"><span class="pre">'gender'</span></code> to use to color the glyphs. Let’s go about building this dashboard.</p>
 <p>As a first, step, we will get a list of columns we want in the drop-down menus.</p>
 <div class="nbinput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[15]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[17]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Options for x- and y- selector; omit part. num., gender, and insomnia</span>
@@ -1032,7 +1032,7 @@ <h2>Exploring a data set<a class="headerlink" href="#Exploring-a-data-set" title
 </div>
 <p>Now, we’ll build our drop-down menus, constructed using <code class="docutils literal notranslate"><span class="pre">bokeh.models.Select</span></code> instances.</p>
 <div class="nbinput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[16]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[18]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">x_selector</span> <span class="o">=</span> <span class="n">bokeh</span><span class="o">.</span><span class="n">models</span><span class="o">.</span><span class="n">Select</span><span class="p">(</span>
@@ -1051,7 +1051,7 @@ <h2>Exploring a data set<a class="headerlink" href="#Exploring-a-data-set" title
 </div>
 <p>Next, we’ll make a ColumnDataSource. We just need an x-value and a y-value, plus a column for coloring the glyphs, since this is all the plot depends upon. We will adjust the entries in the <code class="docutils literal notranslate"><span class="pre">'x'</span></code> and <code class="docutils literal notranslate"><span class="pre">'y'</span></code> columns of the ColumnDataSource from the data frame <code class="docutils literal notranslate"><span class="pre">df</span></code> according to the values of the selector widgets.</p>
 <div class="nbinput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[17]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[19]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">source</span> <span class="o">=</span> <span class="n">bokeh</span><span class="o">.</span><span class="n">models</span><span class="o">.</span><span class="n">ColumnDataSource</span><span class="p">(</span><span class="nb">dict</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">df</span><span class="p">[</span><span class="n">x_selector</span><span class="o">.</span><span class="n">value</span><span class="p">],</span> <span class="n">y</span><span class="o">=</span><span class="n">df</span><span class="p">[</span><span class="n">y_selector</span><span class="o">.</span><span class="n">value</span><span class="p">]))</span>
@@ -1063,7 +1063,7 @@ <h2>Exploring a data set<a class="headerlink" href="#Exploring-a-data-set" title
 </div>
 <p>Now we can make the plot.</p>
 <div class="nbinput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[18]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[20]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">p</span> <span class="o">=</span> <span class="n">bokeh</span><span class="o">.</span><span class="n">plotting</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span>
@@ -1080,7 +1080,7 @@ <h2>Exploring a data set<a class="headerlink" href="#Exploring-a-data-set" title
 </div>
 <p>With the plot in place, we can write a callback.</p>
 <div class="nbinput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[19]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[21]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">gfmt_callback</span><span class="p">(</span><span class="n">attr</span><span class="p">,</span> <span class="n">old</span><span class="p">,</span> <span class="n">new</span><span class="p">):</span>
@@ -1111,7 +1111,7 @@ <h2>Exploring a data set<a class="headerlink" href="#Exploring-a-data-set" title
 </div>
 <p>Now that we have the callback, we can link the selectors to the callback.</p>
 <div class="nbinput nblast docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[20]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[22]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">colorby_selector</span><span class="o">.</span><span class="n">on_change</span><span class="p">(</span><span class="s2">&quot;value&quot;</span><span class="p">,</span> <span class="n">gfmt_callback</span><span class="p">)</span>
@@ -1122,7 +1122,7 @@ <h2>Exploring a data set<a class="headerlink" href="#Exploring-a-data-set" title
 </div>
 <p>And now we can build the layout and play with the app!</p>
 <div class="nbinput docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[21]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[24]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">gfmt_layout</span> <span class="o">=</span> <span class="n">bokeh</span><span class="o">.</span><span class="n">layouts</span><span class="o">.</span><span class="n">row</span><span class="p">(</span>
@@ -1148,11 +1148,11 @@ <h2>Exploring a data set<a class="headerlink" href="#Exploring-a-data-set" title
 <div class="prompt empty docutils container">
 </div>
 <div class="output_area rendered_html docutils container">
-<script id="fdf35378-acdf-4f0d-90de-062653ac1bca">
+<script id="ddad855b-3b6d-4066-8481-6e9f9d69c4b8">
   (function() {
     const xhr = new XMLHttpRequest()
     xhr.responseType = 'blob';
-    xhr.open('GET', "http://localhost:60802/autoload.js?bokeh-autoload-element=fdf35378-acdf-4f0d-90de-062653ac1bca&bokeh-absolute-url=http://localhost:60802&resources=none", true);
+    xhr.open('GET', "http://localhost:53762/autoload.js?bokeh-autoload-element=ddad855b-3b6d-4066-8481-6e9f9d69c4b8&bokeh-absolute-url=http://localhost:53762&resources=none", true);
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@@ -1283,7 +1283,7 @@ <h2>Conclusions<a class="headerlink" href="#Conclusions" title="Link to this hea
 <section id="Computing-environment">
 <h2>Computing environment<a class="headerlink" href="#Computing-environment" title="Link to this heading"></a></h2>
 <div class="nbinput toggle docutils container">
-<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[22]:
+<div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[25]:
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%</span><span class="k">load_ext</span> watermark
@@ -1301,9 +1301,9 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
 IPython version      : 8.20.0
 
 numpy     : 1.26.4
-scipy     : 1.13.0
+scipy     : 1.13.1
 pandas    : 2.2.1
-bokeh     : 3.4.0
+bokeh     : 3.4.1
 jupyterlab: 4.0.13
 
 </pre></div></div>
@@ -1327,7 +1327,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x127d09a10> 
+   <jinja2.runtime.BlockReference object at 0x14ea0f250> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l28_dashboards.ipynb b/2024/lessons/l28_dashboards.ipynb
index c7b844fb..6986e537 100644
--- a/2024/lessons/l28_dashboards.ipynb
+++ b/2024/lessons/l28_dashboards.ipynb
@@ -29,7 +29,7 @@
        "    </style>\n",
        "    <div>\n",
        "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-notebook-logo\"></a>\n",
-       "        <span id=\"a5356216-ce80-4ac6-be13-4797a54856b5\">Loading BokehJS ...</span>\n",
+       "        <span id=\"e546d8f4-9dcc-4999-b379-d97850965b50\">Loading BokehJS ...</span>\n",
        "    </div>\n"
       ]
      },
@@ -202,7 +202,7 @@
        "     \"</div>\"}};\n",
        "\n",
        "  function display_loaded(error = null) {\n",
-       "    const el = document.getElementById(\"a5356216-ce80-4ac6-be13-4797a54856b5\");\n",
+       "    const el = document.getElementById(\"e546d8f4-9dcc-4999-b379-d97850965b50\");\n",
        "    if (el != null) {\n",
        "      const html = (() => {\n",
        "        if (typeof root.Bokeh === \"undefined\") {\n",
@@ -310,7 +310,7 @@
        "    document.body.appendChild(element);\n",
        "  }\n",
        "\n",
-       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.0.min.js\"];\n",
+       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n",
        "  const css_urls = [];\n",
        "\n",
        "  const inline_js = [    function(Bokeh) {\n",
@@ -336,7 +336,7 @@
        "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
        "      root._bokeh_failed_load = true;\n",
        "    } else if (force !== true) {\n",
-       "      const cell = $(document.getElementById(\"a5356216-ce80-4ac6-be13-4797a54856b5\")).parents('.cell').data().cell;\n",
+       "      const cell = $(document.getElementById(\"e546d8f4-9dcc-4999-b379-d97850965b50\")).parents('.cell').data().cell;\n",
        "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
        "    }\n",
        "  }\n",
@@ -352,7 +352,7 @@
        "  }\n",
        "}(window));"
       ],
-      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"a5356216-ce80-4ac6-be13-4797a54856b5\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.0.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"a5356216-ce80-4ac6-be13-4797a54856b5\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
+      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"e546d8f4-9dcc-4999-b379-d97850965b50\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"e546d8f4-9dcc-4999-b379-d97850965b50\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -564,7 +564,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {
     "tags": []
    },
@@ -573,11 +573,11 @@
      "data": {
       "application/vnd.bokehjs_exec.v0+json": "",
       "text/html": [
-       "<script id=\"db8c0998-2b84-4036-a3c3-fedf36ce0057\">\n",
+       "<script id=\"c37478f3-a29d-4b06-97ba-11f683cb10b2\">\n",
        "  (function() {\n",
        "    const xhr = new XMLHttpRequest()\n",
        "    xhr.responseType = 'blob';\n",
-       "    xhr.open('GET', \"http://localhost:60795/autoload.js?bokeh-autoload-element=db8c0998-2b84-4036-a3c3-fedf36ce0057&bokeh-absolute-url=http://localhost:60795&resources=none\", true);\n",
+       "    xhr.open('GET', \"http://localhost:53756/autoload.js?bokeh-autoload-element=c37478f3-a29d-4b06-97ba-11f683cb10b2&bokeh-absolute-url=http://localhost:53756&resources=none\", true);\n",
        "    xhr.onload = function (event) {\n",
        "      const script = document.createElement('script');\n",
        "      const src = URL.createObjectURL(event.target.response);\n",
@@ -591,7 +591,7 @@
      },
      "metadata": {
       "application/vnd.bokehjs_exec.v0+json": {
-       "server_id": "b4c18fe83bb542c0a0d35c9a5f962c06"
+       "server_id": "3796816cb58849c6b77c3034febd647f"
       }
      },
      "output_type": "display_data"
@@ -645,7 +645,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {
     "tags": []
    },
@@ -677,7 +677,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {
     "tags": []
    },
@@ -711,7 +711,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {
     "tags": []
    },
@@ -753,7 +753,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {
     "tags": []
    },
@@ -782,7 +782,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 15,
    "metadata": {
     "tags": []
    },
@@ -791,11 +791,11 @@
      "data": {
       "application/vnd.bokehjs_exec.v0+json": "",
       "text/html": [
-       "<script id=\"ca1a927d-8dd3-4c48-b625-9eca6a6fe673\">\n",
+       "<script id=\"b5d12763-0a3f-4fc6-abd3-50a2e98b21df\">\n",
        "  (function() {\n",
        "    const xhr = new XMLHttpRequest()\n",
        "    xhr.responseType = 'blob';\n",
-       "    xhr.open('GET', \"http://localhost:60798/autoload.js?bokeh-autoload-element=ca1a927d-8dd3-4c48-b625-9eca6a6fe673&bokeh-absolute-url=http://localhost:60798&resources=none\", true);\n",
+       "    xhr.open('GET', \"http://localhost:53759/autoload.js?bokeh-autoload-element=b5d12763-0a3f-4fc6-abd3-50a2e98b21df&bokeh-absolute-url=http://localhost:53759&resources=none\", true);\n",
        "    xhr.onload = function (event) {\n",
        "      const script = document.createElement('script');\n",
        "      const src = URL.createObjectURL(event.target.response);\n",
@@ -809,7 +809,7 @@
      },
      "metadata": {
       "application/vnd.bokehjs_exec.v0+json": {
-       "server_id": "cbd6fa902cb542c7b12f375f221889f3"
+       "server_id": "c94f3d9db5f84e5f90de503533f94e59"
       }
      },
      "output_type": "display_data"
@@ -851,7 +851,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 16,
    "metadata": {
     "tags": []
    },
@@ -1032,7 +1032,7 @@
        "4                       49.0   13     9   12      True  "
       ]
      },
-     "execution_count": 14,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1041,7 +1041,7 @@
     "df = pd.read_csv('data/gfmt_sleep.csv', na_values='*')\n",
     "\n",
     "# Add column for insomnia\n",
-    "df['insomnia'] = df['sci'] <= 16\n",
+    "df = df.assign(insomnia=df['sci'] <= 16)\n",
     "\n",
     "df.head()"
    ]
@@ -1059,7 +1059,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 17,
    "metadata": {
     "tags": []
    },
@@ -1080,7 +1080,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 18,
    "metadata": {
     "tags": []
    },
@@ -1108,7 +1108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 19,
    "metadata": {
     "tags": []
    },
@@ -1129,7 +1129,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 20,
    "metadata": {
     "tags": []
    },
@@ -1155,7 +1155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 21,
    "metadata": {
     "tags": []
    },
@@ -1195,7 +1195,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 22,
    "metadata": {
     "tags": []
    },
@@ -1215,7 +1215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 24,
    "metadata": {
     "tags": []
    },
@@ -1224,11 +1224,11 @@
      "data": {
       "application/vnd.bokehjs_exec.v0+json": "",
       "text/html": [
-       "<script id=\"fdf35378-acdf-4f0d-90de-062653ac1bca\">\n",
+       "<script id=\"ddad855b-3b6d-4066-8481-6e9f9d69c4b8\">\n",
        "  (function() {\n",
        "    const xhr = new XMLHttpRequest()\n",
        "    xhr.responseType = 'blob';\n",
-       "    xhr.open('GET', \"http://localhost:60802/autoload.js?bokeh-autoload-element=fdf35378-acdf-4f0d-90de-062653ac1bca&bokeh-absolute-url=http://localhost:60802&resources=none\", true);\n",
+       "    xhr.open('GET', \"http://localhost:53762/autoload.js?bokeh-autoload-element=ddad855b-3b6d-4066-8481-6e9f9d69c4b8&bokeh-absolute-url=http://localhost:53762&resources=none\", true);\n",
        "    xhr.onload = function (event) {\n",
        "      const script = document.createElement('script');\n",
        "      const src = URL.createObjectURL(event.target.response);\n",
@@ -1242,7 +1242,7 @@
      },
      "metadata": {
       "application/vnd.bokehjs_exec.v0+json": {
-       "server_id": "75c1e0b95cd44569b81f1a5bdad71a66"
+       "server_id": "791a512a32514deea0859f0c2a61db2c"
       }
      },
      "output_type": "display_data"
@@ -1406,7 +1406,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 25,
    "metadata": {
     "tags": [
      "hide-input"
@@ -1422,9 +1422,9 @@
       "IPython version      : 8.20.0\n",
       "\n",
       "numpy     : 1.26.4\n",
-      "scipy     : 1.13.0\n",
+      "scipy     : 1.13.1\n",
       "pandas    : 2.2.1\n",
-      "bokeh     : 3.4.0\n",
+      "bokeh     : 3.4.1\n",
       "jupyterlab: 4.0.13\n",
       "\n"
      ]
diff --git a/2024/lessons/l29_javascript_for_bokeh.html b/2024/lessons/l29_javascript_for_bokeh.html
index bebfd66f..5b094a74 100644
--- a/2024/lessons/l29_javascript_for_bokeh.html
+++ b/2024/lessons/l29_javascript_for_bokeh.html
@@ -203,7 +203,7 @@ <h1>Lesson 29: JavaScript for stand-alone Bokeh apps<a class="headerlink" href="
 </style>
 <div>
     <a href="https://bokeh.org" target="_blank" class="bk-notebook-logo"></a>
-    <span id="d4ba02d5-64c2-4988-90e1-5b4832d651d4">Loading BokehJS ...</span>
+    <span id="ec209cab-459d-42f7-ae3b-6382ad808e20">Loading BokehJS ...</span>
 </div></div>
 </div>
 <div class="nboutput nblast docutils container">
@@ -376,7 +376,7 @@ <h1>Lesson 29: JavaScript for stand-alone Bokeh apps<a class="headerlink" href="
      "</div>"}};
 
   function display_loaded(error = null) {
-    const el = document.getElementById("d4ba02d5-64c2-4988-90e1-5b4832d651d4");
+    const el = document.getElementById("ec209cab-459d-42f7-ae3b-6382ad808e20");
     if (el != null) {
       const html = (() => {
         if (typeof root.Bokeh === "undefined") {
@@ -484,7 +484,7 @@ <h1>Lesson 29: JavaScript for stand-alone Bokeh apps<a class="headerlink" href="
     document.body.appendChild(element);
   }
 
-  const js_urls = ["https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.0.min.js"];
+  const js_urls = ["https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js"];
   const css_urls = [];
 
   const inline_js = [    function(Bokeh) {
@@ -510,7 +510,7 @@ <h1>Lesson 29: JavaScript for stand-alone Bokeh apps<a class="headerlink" href="
       console.log("Bokeh: BokehJS failed to load within specified timeout.");
       root._bokeh_failed_load = true;
     } else if (force !== true) {
-      const cell = $(document.getElementById("d4ba02d5-64c2-4988-90e1-5b4832d651d4")).parents('.cell').data().cell;
+      const cell = $(document.getElementById("ec209cab-459d-42f7-ae3b-6382ad808e20")).parents('.cell').data().cell;
       cell.output_area.append_execute_result(NB_LOAD_WARNING)
     }
   }
@@ -777,7 +777,7 @@ <h2>Example 1: Exploring the Normal pdf<a class="headerlink" href="#Example-1:-E
 <div class="prompt empty docutils container">
 </div>
 <div class="output_area rendered_html docutils container">
-<div id="b284d557-db82-4862-a74d-66f45ec91fc0" data-root-id="p1052" style="display: contents;"></div></div>
+<div id="dca7210e-99f1-4d07-b9f0-ce5e43f1e9b9" data-root-id="p1052" style="display: contents;"></div></div>
 </div>
 <div class="nboutput nblast docutils container">
 <div class="prompt empty docutils container">
@@ -788,8 +788,8 @@ <h2>Example 1: Exploring the Normal pdf<a class="headerlink" href="#Example-1:-E
 var element = document.currentScript.previousSibling.previousSibling;
 (function(root) {
   function embed_document(root) {
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@@ -845,7 +845,7 @@ <h2>Exploring a data set<a class="headerlink" href="#Exploring-a-data-set" title
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;data/gfmt_sleep.csv&#39;</span><span class="p">,</span> <span class="n">na_values</span><span class="o">=</span><span class="s1">&#39;*&#39;</span><span class="p">)</span>
 
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-<span class="n">df</span><span class="p">[</span><span class="s1">&#39;insomnia&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;sci&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="mi">16</span>
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 <span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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   }
   if (root.Bokeh !== undefined) {
@@ -1307,7 +1307,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
 
 numpy     : 1.26.4
 pandas    : 2.2.1
-bokeh     : 3.4.0
+bokeh     : 3.4.1
 jupyterlab: 4.0.13
 
 </pre></div></div>
@@ -1331,7 +1331,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x116ccf490> 
+   <jinja2.runtime.BlockReference object at 0x1081c1810> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l29_javascript_for_bokeh.ipynb b/2024/lessons/l29_javascript_for_bokeh.ipynb
index 0b5104f3..5589f3ba 100644
--- a/2024/lessons/l29_javascript_for_bokeh.ipynb
+++ b/2024/lessons/l29_javascript_for_bokeh.ipynb
@@ -27,7 +27,7 @@
        "    </style>\n",
        "    <div>\n",
        "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-notebook-logo\"></a>\n",
-       "        <span id=\"d4ba02d5-64c2-4988-90e1-5b4832d651d4\">Loading BokehJS ...</span>\n",
+       "        <span id=\"ec209cab-459d-42f7-ae3b-6382ad808e20\">Loading BokehJS ...</span>\n",
        "    </div>\n"
       ]
      },
@@ -200,7 +200,7 @@
        "     \"</div>\"}};\n",
        "\n",
        "  function display_loaded(error = null) {\n",
-       "    const el = document.getElementById(\"d4ba02d5-64c2-4988-90e1-5b4832d651d4\");\n",
+       "    const el = document.getElementById(\"ec209cab-459d-42f7-ae3b-6382ad808e20\");\n",
        "    if (el != null) {\n",
        "      const html = (() => {\n",
        "        if (typeof root.Bokeh === \"undefined\") {\n",
@@ -308,7 +308,7 @@
        "    document.body.appendChild(element);\n",
        "  }\n",
        "\n",
-       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.0.min.js\"];\n",
+       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n",
        "  const css_urls = [];\n",
        "\n",
        "  const inline_js = [    function(Bokeh) {\n",
@@ -334,7 +334,7 @@
        "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
        "      root._bokeh_failed_load = true;\n",
        "    } else if (force !== true) {\n",
-       "      const cell = $(document.getElementById(\"d4ba02d5-64c2-4988-90e1-5b4832d651d4\")).parents('.cell').data().cell;\n",
+       "      const cell = $(document.getElementById(\"ec209cab-459d-42f7-ae3b-6382ad808e20\")).parents('.cell').data().cell;\n",
        "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
        "    }\n",
        "  }\n",
@@ -350,7 +350,7 @@
        "  }\n",
        "}(window));"
       ],
-      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"d4ba02d5-64c2-4988-90e1-5b4832d651d4\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.0.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"d4ba02d5-64c2-4988-90e1-5b4832d651d4\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
+      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"ec209cab-459d-42f7-ae3b-6382ad808e20\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"ec209cab-459d-42f7-ae3b-6382ad808e20\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -689,7 +689,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"b284d557-db82-4862-a74d-66f45ec91fc0\" data-root-id=\"p1052\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"dca7210e-99f1-4d07-b9f0-ce5e43f1e9b9\" data-root-id=\"p1052\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -700,8 +700,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"c034b1ee-edfa-42b7-9c50-d45707bb494a\":{\"version\":\"3.4.0\",\"title\":\"Bokeh 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normalPDF(x, mu, sigma) {\\n    let expArg = (x - mu) ** 2 / 2.0 / sigma ** 2;\\n    return Math.exp(-expArg) / sigma / Math.sqrt(2 * Math.PI);\\n}\\n\\n// For convenience, get views into the ColumnDataSource data\\nlet x = source.data['x'];\\nlet pdf = source.data['pdf'];\\n\\n// Pull the values off of the sliders\\nlet mu = mu_slider.value;\\nlet sigma = sigma_slider.value;\\n\\n// Loop through and update\\nlet xLen = x.length;\\nfor (let i = 0; i < xLen; i++) {\\n    pdf[i] = normalPDF(x[i], mu, sigma);\\n}\\n\\n// Once the ColumnDataSource is changed, we need to use its \\n// .change.emit() method to update the plot\\nsource.change.emit();\\n\"}}]]]},\"title\":\"\\u03c3\",\"start\":0.1,\"end\":5,\"value\":1,\"step\":0.1}}]]},\"code\":\"\\nfunction normalPDF(x, mu, sigma) {\\n    let expArg = (x - mu) ** 2 / 2.0 / sigma ** 2;\\n    return Math.exp(-expArg) / sigma / Math.sqrt(2 * Math.PI);\\n}\\n\\n// For convenience, get views into the ColumnDataSource data\\nlet x = source.data['x'];\\nlet pdf = source.data['pdf'];\\n\\n// Pull the values off of the sliders\\nlet mu = mu_slider.value;\\nlet sigma = sigma_slider.value;\\n\\n// Loop through and update\\nlet xLen = x.length;\\nfor (let i = 0; i < xLen; i++) {\\n    pdf[i] = normalPDF(x[i], mu, sigma);\\n}\\n\\n// Once the ColumnDataSource is changed, we need to use its \\n// .change.emit() method to update the plot\\nsource.change.emit();\\n\"}}]]]},\"title\":\"\\u00b5\",\"start\":-5,\"end\":5,\"value\":0,\"step\":0.1}},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1049\",\"attributes\":{\"height\":15}},{\"id\":\"p1002\"}]}}]}}]}};\n",
+       "  const render_items = [{\"docid\":\"239458b7-6de7-44a1-824d-8c7d2656b774\",\"roots\":{\"p1052\":\"dca7210e-99f1-4d07-b9f0-ce5e43f1e9b9\"},\"root_ids\":[\"p1052\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -977,7 +977,7 @@
     "df = pd.read_csv('data/gfmt_sleep.csv', na_values='*')\n",
     "\n",
     "# Add column for insomnia\n",
-    "df['insomnia'] = df['sci'] <= 16\n",
+    "df = df.assign(insomnia=df['sci'] <= 16)\n",
     "\n",
     "df.head()"
    ]
@@ -1252,7 +1252,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"bfbc6719-0aec-4cce-9963-5c552399f383\" data-root-id=\"p1116\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"e156f9d1-8293-4cd4-90ac-de7c4fbfca1b\" data-root-id=\"p1116\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -1263,8 +1263,8 @@
       "application/javascript": [
        "(function(root) {\n",
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when 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Extract what we want to color by from selector\\nlet colorby = colorby_selector.value;\\n\\n// View of the colors for convenience\\nlet colors = render_source.data['color'];\\n\\n// Convenient to have the number of data points\\nlet n = colors.length;\\n\\n// New data\\nrender_source.data['x'] = source.data[x_selector.value];\\nrender_source.data['y'] = source.data[y_selector.value];\\n\\n// Update colors\\nif (colorby === 'none') {\\n    for (let i = 0; i < n; i++) {\\n        colors[i] = '#1f77b3';\\n    }\\n}\\nelse if (colorby === 'gender') {\\n    for (let i = 0; i < n; i++) {\\n        if (source.data['gender'][i] === 'f') {\\n            colors[i] = '#1f77b3';\\n        }\\n        else {\\n            colors[i] = '#ff7e0e';\\n        }\\n    }\\n}\\nelse if (colorby === 'insomnia') {\\n    for (let i = 0; i < n; i++) {\\n        if (source.data['insomnia'][i]) {\\n            colors[i] = '#1f77b3';\\n        }\\n        else {\\n            colors[i] = '#ff7e0e';\\n        }\\n    }\\n}\\n\\n// Update axis labels to reflect what was selected\\nxaxis[0].axis_label = x_selector.value;\\nyaxis[0].axis_label = y_selector.value;\\n\\nrender_source.change.emit();\\n\"}}]]]},\"width\":200,\"title\":\"y\",\"options\":[\"age\",\"correct hit percentage\",\"correct reject percentage\",\"percent correct\",\"confidence when correct hit\",\"confidence when incorrect hit\",\"confidence when correct reject\",\"confidence when incorrect reject\",\"confidence when correct\",\"confidence when incorrect\",\"sci\",\"psqi\",\"ess\"],\"value\":\"confidence when correct\"}}],[\"xaxis\",[{\"id\":\"p1079\"}]],[\"yaxis\",[{\"id\":\"p1084\"}]]]},\"code\":\"\\n// Extract what we want to color by from selector\\nlet colorby = colorby_selector.value;\\n\\n// View of the colors for convenience\\nlet colors = render_source.data['color'];\\n\\n// Convenient to have the number of data points\\nlet n = colors.length;\\n\\n// New data\\nrender_source.data['x'] = source.data[x_selector.value];\\nrender_source.data['y'] = source.data[y_selector.value];\\n\\n// Update colors\\nif (colorby === 'none') {\\n    for (let i = 0; i < n; i++) {\\n        colors[i] = '#1f77b3';\\n    }\\n}\\nelse if (colorby === 'gender') {\\n    for (let i = 0; i < n; i++) {\\n        if (source.data['gender'][i] === 'f') {\\n            colors[i] = '#1f77b3';\\n        }\\n        else {\\n            colors[i] = '#ff7e0e';\\n        }\\n    }\\n}\\nelse if (colorby === 'insomnia') {\\n    for (let i = 0; i < n; i++) {\\n        if (source.data['insomnia'][i]) {\\n            colors[i] = '#1f77b3';\\n        }\\n        else {\\n            colors[i] = '#ff7e0e';\\n        }\\n    }\\n}\\n\\n// Update axis labels to reflect what was selected\\nxaxis[0].axis_label = x_selector.value;\\nyaxis[0].axis_label = y_selector.value;\\n\\nrender_source.change.emit();\\n\"}}]]]},\"width\":200,\"title\":\"color by\",\"options\":[\"none\",\"gender\",\"insomnia\"],\"value\":\"none\"}}],[\"x_selector\",{\"id\":\"p1059\"}],[\"y_selector\",{\"id\":\"p1060\"}],[\"xaxis\",[{\"id\":\"p1079\"}]],[\"yaxis\",[{\"id\":\"p1084\"}]]]},\"code\":\"\\n// Extract what we want to color by from selector\\nlet colorby = colorby_selector.value;\\n\\n// View of the colors for convenience\\nlet colors = render_source.data['color'];\\n\\n// Convenient to have the number of data points\\nlet n = colors.length;\\n\\n// New data\\nrender_source.data['x'] = source.data[x_selector.value];\\nrender_source.data['y'] = source.data[y_selector.value];\\n\\n// Update colors\\nif (colorby === 'none') {\\n    for (let i = 0; i < n; i++) {\\n        colors[i] = '#1f77b3';\\n    }\\n}\\nelse if (colorby === 'gender') {\\n    for (let i = 0; i < n; i++) {\\n        if (source.data['gender'][i] === 'f') {\\n            colors[i] = '#1f77b3';\\n        }\\n        else {\\n            colors[i] = '#ff7e0e';\\n        }\\n    }\\n}\\nelse if (colorby === 'insomnia') {\\n    for (let i = 0; i < n; i++) {\\n        if (source.data['insomnia'][i]) {\\n            colors[i] = '#1f77b3';\\n        }\\n        else {\\n            colors[i] = '#ff7e0e';\\n        }\\n    }\\n}\\n\\n// Update axis labels to reflect what was selected\\nxaxis[0].axis_label = x_selector.value;\\nyaxis[0].axis_label = y_selector.value;\\n\\nrender_source.change.emit();\\n\"}}]]]},\"width\":200,\"title\":\"x\",\"options\":[\"age\",\"correct hit percentage\",\"correct reject percentage\",\"percent correct\",\"confidence when correct hit\",\"confidence when incorrect hit\",\"confidence when correct reject\",\"confidence when incorrect reject\",\"confidence when correct\",\"confidence when incorrect\",\"sci\",\"psqi\",\"ess\"],\"value\":\"percent correct\"}},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1113\",\"attributes\":{\"height\":15}},{\"id\":\"p1060\"},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1114\",\"attributes\":{\"height\":15}},{\"id\":\"p1061\"}]}}]}}]}};\n",
+       "  const render_items = [{\"docid\":\"2683fb5e-ffd7-4b2d-9b73-454f55b48d25\",\"roots\":{\"p1116\":\"e156f9d1-8293-4cd4-90ac-de7c4fbfca1b\"},\"root_ids\":[\"p1116\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -1375,7 +1375,7 @@
       "\n",
       "numpy     : 1.26.4\n",
       "pandas    : 2.2.1\n",
-      "bokeh     : 3.4.0\n",
+      "bokeh     : 3.4.1\n",
       "jupyterlab: 4.0.13\n",
       "\n"
      ]
diff --git a/2024/lessons/l30_control_of_devices.html b/2024/lessons/l30_control_of_devices.html
index 8e59b50a..2044edc6 100644
--- a/2024/lessons/l30_control_of_devices.html
+++ b/2024/lessons/l30_control_of_devices.html
@@ -1443,7 +1443,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x136882590> 
+   <jinja2.runtime.BlockReference object at 0x11dd1bf10> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l31_apps_for_external_devices.html b/2024/lessons/l31_apps_for_external_devices.html
index 6d88fa11..fd839583 100644
--- a/2024/lessons/l31_apps_for_external_devices.html
+++ b/2024/lessons/l31_apps_for_external_devices.html
@@ -1552,7 +1552,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x116e0d5d0> 
+   <jinja2.runtime.BlockReference object at 0x14d79d490> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l32_control_panels.html b/2024/lessons/l32_control_panels.html
index 55cfdd7d..c2314210 100644
--- a/2024/lessons/l32_control_panels.html
+++ b/2024/lessons/l32_control_panels.html
@@ -1980,7 +1980,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x137031850> 
+   <jinja2.runtime.BlockReference object at 0x138c5bcd0> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l33_more_command_line.html b/2024/lessons/l33_more_command_line.html
index 05e1702e..f1d99e5a 100644
--- a/2024/lessons/l33_more_command_line.html
+++ b/2024/lessons/l33_more_command_line.html
@@ -408,7 +408,7 @@ <h2>Conclusions<a class="headerlink" href="#Conclusions" title="Link to this hea
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1577a36d0> 
+   <jinja2.runtime.BlockReference object at 0x14d76be90> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l34_regular_expressions.html b/2024/lessons/l34_regular_expressions.html
index 39173727..6218e5cc 100644
--- a/2024/lessons/l34_regular_expressions.html
+++ b/2024/lessons/l34_regular_expressions.html
@@ -1183,7 +1183,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x136e7cf90> 
+   <jinja2.runtime.BlockReference object at 0x14ea21b10> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l35_intro_to_scripting.html b/2024/lessons/l35_intro_to_scripting.html
index 4395fe4a..d94e9b7f 100644
--- a/2024/lessons/l35_intro_to_scripting.html
+++ b/2024/lessons/l35_intro_to_scripting.html
@@ -762,7 +762,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1575803d0> 
+   <jinja2.runtime.BlockReference object at 0x14db5d090> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l36_intro_to_oop.html b/2024/lessons/l36_intro_to_oop.html
index acd4c94c..7cb7dbb1 100644
--- a/2024/lessons/l36_intro_to_oop.html
+++ b/2024/lessons/l36_intro_to_oop.html
@@ -647,7 +647,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x1575cb2d0> 
+   <jinja2.runtime.BlockReference object at 0x138eff450> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l37_algorithmic_complexity.html b/2024/lessons/l37_algorithmic_complexity.html
index 11e0d206..ac8d0ab1 100644
--- a/2024/lessons/l37_algorithmic_complexity.html
+++ b/2024/lessons/l37_algorithmic_complexity.html
@@ -1088,7 +1088,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x137273c50> 
+   <jinja2.runtime.BlockReference object at 0x14d8c5bd0> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l38_testing_and_tdd.html b/2024/lessons/l38_testing_and_tdd.html
index 2f12d097..1f78dfab 100644
--- a/2024/lessons/l38_testing_and_tdd.html
+++ b/2024/lessons/l38_testing_and_tdd.html
@@ -729,7 +729,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157838910> 
+   <jinja2.runtime.BlockReference object at 0x14db5c210> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l39_examples_of_tdd.html b/2024/lessons/l39_examples_of_tdd.html
index edecd4f0..a4415b91 100644
--- a/2024/lessons/l39_examples_of_tdd.html
+++ b/2024/lessons/l39_examples_of_tdd.html
@@ -848,7 +848,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157b2b110> 
+   <jinja2.runtime.BlockReference object at 0x14d9f3490> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l40_holoviews.html b/2024/lessons/l40_holoviews.html
index 66191b89..9f667572 100644
--- a/2024/lessons/l40_holoviews.html
+++ b/2024/lessons/l40_holoviews.html
@@ -225,7 +225,7 @@ <h1>Lesson 40: High level plotting with HoloViews<a class="headerlink" href="#Le
 </style>
 <div>
     <a href="https://bokeh.org" target="_blank" class="bk-notebook-logo"></a>
-    <span id="f4bdf27b-8e65-42ee-a501-5fc1b142d80a">Loading BokehJS ...</span>
+    <span id="ff87c8af-a091-4d0b-915e-13ffacc289f4">Loading BokehJS ...</span>
 </div></div>
 </div>
 <div class="nboutput docutils container">
@@ -398,7 +398,7 @@ <h1>Lesson 40: High level plotting with HoloViews<a class="headerlink" href="#Le
      "</div>"}};
 
   function display_loaded(error = null) {
-    const el = document.getElementById("f4bdf27b-8e65-42ee-a501-5fc1b142d80a");
+    const el = document.getElementById("ff87c8af-a091-4d0b-915e-13ffacc289f4");
     if (el != null) {
       const html = (() => {
         if (typeof root.Bokeh === "undefined") {
@@ -506,7 +506,7 @@ <h1>Lesson 40: High level plotting with HoloViews<a class="headerlink" href="#Le
     document.body.appendChild(element);
   }
 
-  const js_urls = ["https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.0.min.js", "https://unpkg.com/@holoviz/panel@1.4.2/dist/panel.min.js"];
+  const js_urls = ["https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js", "https://unpkg.com/@holoviz/panel@1.4.4/dist/panel.min.js"];
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@@ -532,7 +532,7 @@ <h1>Lesson 40: High level plotting with HoloViews<a class="headerlink" href="#Le
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       root._bokeh_failed_load = true;
     } else if (force !== true) {
-      const cell = $(document.getElementById("f4bdf27b-8e65-42ee-a501-5fc1b142d80a")).parents('.cell').data().cell;
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       cell.output_area.append_execute_result(NB_LOAD_WARNING)
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@@ -562,7 +562,7 @@ <h1>Lesson 40: High level plotting with HoloViews<a class="headerlink" href="#Le
   }
 
   var force = true;
-  var py_version = '3.4.0'.replace('rc', '-rc.').replace('.dev', '-dev.');
+  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');
   var reloading = false;
   var Bokeh = root.Bokeh;
 
@@ -718,7 +718,7 @@ <h1>Lesson 40: High level plotting with HoloViews<a class="headerlink" href="#Le
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+  var js_urls = ["https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js", "https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js"];
   var js_modules = [];
   var js_exports = {};
   var css_urls = [];
@@ -1067,25 +1067,30 @@ <h1>Lesson 40: High level plotting with HoloViews<a class="headerlink" href="#Le
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 <div id='p1002'>
-  <div id="a3b4897b-5229-4137-bca0-ed7c7964a74c" data-root-id="p1002" style="display: contents;"></div>
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   if (!docs) {
     return
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   const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')
-  function embed_document(root) {
+  async function embed_document(root) {
     var Bokeh = get_bokeh(root)
-    Bokeh.embed.embed_items_notebook(docs_json, render_items);
+    await Bokeh.embed.embed_items_notebook(docs_json, render_items);
     for (const render_item of render_items) {
       for (const root_id of render_item.root_ids) {
     const id_el = document.getElementById(root_id)
-    if (id_el.children.length && (id_el.children[0].className === 'bk-root')) {
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+        child.setAttribute('data-lm-suppress-shortcuts', 'true')
+      }
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@@ -1353,25 +1358,30 @@ <h2>An example: A scatter plot of finch beak lengths and depths<a class="headerl
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       root_el.id = root_el.id + '-rendered'
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+            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model
+        child.setAttribute('data-lm-suppress-shortcuts', 'true')
+      }
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   if (!docs) {
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+  async function embed_document(root) {
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     const id_el = document.getElementById(root_id)
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       root_el.id = root_el.id + '-rendered'
+      for (const child of root_el.children) {
+            // Ensure JupyterLab does not capture keyboard shortcuts
+            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model
+        child.setAttribute('data-lm-suppress-shortcuts', 'true')
+      }
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       }
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-  function embed_document(root) {
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     const id_el = document.getElementById(root_id)
-    if (id_el.children.length && (id_el.children[0].className === 'bk-root')) {
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       const root_el = id_el.children[0]
       root_el.id = root_el.id + '-rendered'
+      for (const child of root_el.children) {
+            // Ensure JupyterLab does not capture keyboard shortcuts
+            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model
+        child.setAttribute('data-lm-suppress-shortcuts', 'true')
+      }
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-    if (id_el.children.length && (id_el.children[0].className === 'bk-root')) {
+    if (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {
       const root_el = id_el.children[0]
       root_el.id = root_el.id + '-rendered'
+      for (const child of root_el.children) {
+            // Ensure JupyterLab does not capture keyboard shortcuts
+            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model
+        child.setAttribute('data-lm-suppress-shortcuts', 'true')
+      }
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@@ -2151,7 +2196,7 @@ <h2>Saving a HoloViews plot<a class="headerlink" href="#Saving-a-HoloViews-plot"
 </pre></div></div>
 </div>
 <p>When we open <code class="docutils literal notranslate"><span class="pre">finch_plot.html</span></code>, the result is a fully interactive plot, self-contained in the HTML file. This file can be emailed to a colleague or even embedded in a publication.</p>
-<p>When we discuss <a class="reference external" href="l26_dashboards.ipynb">dashboarding</a>, we will see that we can make even more elaborate, informative interactive plots, though exporting these to standalone HTML is more challenging.</p>
+<p>When we discuss <a class="reference internal" href="l28_dashboards.html"><span class="doc">dashboarding</span></a>, we will see that we can make even more elaborate, informative interactive plots, though exporting these to standalone HTML is more challenging.</p>
 </section>
 <section id="Extracting-the-Bokeh-plotting-object">
 <h2>Extracting the Bokeh plotting object<a class="headerlink" href="#Extracting-the-Bokeh-plotting-object" title="Link to this heading"></a></h2>
@@ -2185,7 +2230,7 @@ <h2>Extracting the Bokeh plotting object<a class="headerlink" href="#Extracting-
 <div class="prompt empty docutils container">
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-<div id="a247218f-d3d4-4ba2-afa3-16a5558d5946" data-root-id="p1903" style="display: contents;"></div></div>
+<div id="bc65bbce-3982-4553-bf2a-2d1f90518e03" data-root-id="p1903" style="display: contents;"></div></div>
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 <div class="nboutput nblast docutils container">
 <div class="prompt empty docutils container">
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fa-exclamation-triangle"],["tagName","i"],["color","white"]]}]]},{"type":"map","entries":[["type","info"],["background","#007bff"],["icon",{"type":"map","entries":[["className","fas fa-info-circle"],["tagName","i"],["color","white"]]}]]}]}]},{"type":"model","name":"Notification","properties":[{"name":"background","kind":"Any","default":null},{"name":"duration","kind":"Any","default":3000},{"name":"icon","kind":"Any","default":null},{"name":"message","kind":"Any","default":""},{"name":"notification_type","kind":"Any","default":null},{"name":"_destroyed","kind":"Any","default":false}]},{"type":"model","name":"TemplateActions1","properties":[{"name":"open_modal","kind":"Any","default":0},{"name":"close_modal","kind":"Any","default":0}]},{"type":"model","name":"BootstrapTemplateActions1","properties":[{"name":"open_modal","kind":"Any","default":0},{"name":"close_modal","kind":"Any","default":0}]},{"type":"model","name":"TemplateEditor1","properties":[{"name":"layout","kind":"Any","default":[]}]},{"type":"model","name":"MaterialTemplateActions1","properties":[{"name":"open_modal","kind":"Any","default":0},{"name":"close_modal","kind":"Any","default":0}]},{"type":"model","name":"copy_to_clipboard1","properties":[{"name":"fill","kind":"Any","default":"none"},{"name":"value","kind":"Any","default":null}]}]}};
+  var render_items = [{"docid":"050b9daa-7cfc-48b5-8936-1c48471a198c","roots":{"p2032":"cdbdd297-ba8b-4ae5-a3b8-9905df9b5983"},"root_ids":["p2032"]}];
   var docs = Object.values(docs_json)
   if (!docs) {
     return
   }
   const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')
-  function embed_document(root) {
+  async function embed_document(root) {
     var Bokeh = get_bokeh(root)
-    Bokeh.embed.embed_items_notebook(docs_json, render_items);
+    await Bokeh.embed.embed_items_notebook(docs_json, render_items);
     for (const render_item of render_items) {
       for (const root_id of render_item.root_ids) {
     const id_el = document.getElementById(root_id)
-    if (id_el.children.length && (id_el.children[0].className === 'bk-root')) {
+    if (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {
       const root_el = id_el.children[0]
       root_el.id = root_el.id + '-rendered'
+      for (const child of root_el.children) {
+            // Ensure JupyterLab does not capture keyboard shortcuts
+            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model
+        child.setAttribute('data-lm-suppress-shortcuts', 'true')
+      }
     }
       }
     }
@@ -2469,25 +2524,30 @@ <h3>Strip plots<a class="headerlink" href="#Strip-plots" title="Link to this hea
 </div>
 <div class="output_area rendered_html docutils container">
 <div id='p2183'>
-  <div id="ce1c308e-0ed8-428c-847e-59ff4719e7a3" data-root-id="p2183" style="display: contents;"></div>
+  <div id="e3ffb494-e683-40f5-815a-f701933299db" data-root-id="p2183" style="display: contents;"></div>
 </div>
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@@ -2646,9 +2711,14 @@ <h3>ECDFs<a class="headerlink" href="#ECDFs" title="Link to this heading"></a
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">ecdf_transform</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
     <span class="k">return</span> <span class="n">data</span><span class="o">.</span><span class="n">rank</span><span class="p">(</span><span class="n">method</span><span class="o">=</span><span class="s2">&quot;first&quot;</span><span class="p">)</span> <span class="o">/</span> <span class="nb">len</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
 
-<span class="n">df_2012</span><span class="p">[</span><span class="s2">&quot;beak depth ECDF&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df_2012</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s2">&quot;species&quot;</span><span class="p">)[</span>
-    <span class="s2">&quot;beak depth (mm)&quot;</span>
-<span class="p">]</span><span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">ecdf_transform</span><span class="p">)</span><span class="o">.</span><span class="n">values</span>
+
+<span class="n">df_2012</span> <span class="o">=</span> <span class="n">df_2012</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span>
+    <span class="o">**</span><span class="p">{</span>
+        <span class="s2">&quot;beak depth ECDF&quot;</span><span class="p">:</span> <span class="n">df_2012</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s2">&quot;species&quot;</span><span class="p">)[</span><span class="s2">&quot;beak depth (mm)&quot;</span><span class="p">]</span>
+        <span class="o">.</span><span class="n">transform</span><span class="p">(</span><span class="n">ecdf_transform</span><span class="p">)</span>
+        <span class="o">.</span><span class="n">values</span>
+    <span class="p">}</span>
+<span class="p">)</span>
 </pre></div>
 </div>
 </div>
@@ -2680,25 +2750,30 @@ <h3>ECDFs<a class="headerlink" href="#ECDFs" title="Link to this heading"></a
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400px));\n}",{"id":"p2375"},{"id":"p2373"},{"id":"p2374"}],"margin":0,"sizing_mode":"stretch_width","align":"start"}}]}}],"defs":[{"type":"model","name":"ReactiveHTML1"},{"type":"model","name":"FlexBox1","properties":[{"name":"align_content","kind":"Any","default":"flex-start"},{"name":"align_items","kind":"Any","default":"flex-start"},{"name":"flex_direction","kind":"Any","default":"row"},{"name":"flex_wrap","kind":"Any","default":"wrap"},{"name":"gap","kind":"Any","default":""},{"name":"justify_content","kind":"Any","default":"flex-start"}]},{"type":"model","name":"FloatPanel1","properties":[{"name":"config","kind":"Any","default":{"type":"map"}},{"name":"contained","kind":"Any","default":true},{"name":"position","kind":"Any","default":"right-top"},{"name":"offsetx","kind":"Any","default":null},{"name":"offsety","kind":"Any","default":null},{"name":"theme","kind":"Any","default":"primary"},{"name":"status","kind":"Any","default":"normalized"}]},{"type":"model","name":"GridStack1","properties":[{"name":"mode","kind":"Any","default":"warn"},{"name":"ncols","kind":"Any","default":null},{"name":"nrows","kind":"Any","default":null},{"name":"allow_resize","kind":"Any","default":true},{"name":"allow_drag","kind":"Any","default":true},{"name":"state","kind":"Any","default":[]}]},{"type":"model","name":"drag1","properties":[{"name":"slider_width","kind":"Any","default":5},{"name":"slider_color","kind":"Any","default":"black"},{"name":"value","kind":"Any","default":50}]},{"type":"model","name":"click1","properties":[{"name":"terminal_output","kind":"Any","default":""},{"name":"debug_name","kind":"Any","default":""},{"name":"clears","kind":"Any","default":0}]},{"type":"model","name":"FastWrapper1","properties":[{"name":"object","kind":"Any","default":null},{"name":"style","kind":"Any","default":null}]},{"type":"model","name":"NotificationAreaBase1","properties":[{"name":"js_events","kind":"Any","default":{"type":"map"}},{"name":"position","kind":"Any","default":"bottom-right"},{"name":"_clear","kind":"Any","default":0}]},{"type":"model","name":"NotificationArea1","properties":[{"name":"js_events","kind":"Any","default":{"type":"map"}},{"name":"notifications","kind":"Any","default":[]},{"name":"position","kind":"Any","default":"bottom-right"},{"name":"_clear","kind":"Any","default":0},{"name":"types","kind":"Any","default":[{"type":"map","entries":[["type","warning"],["background","#ffc107"],["icon",{"type":"map","entries":[["className","fas fa-exclamation-triangle"],["tagName","i"],["color","white"]]}]]},{"type":"map","entries":[["type","info"],["background","#007bff"],["icon",{"type":"map","entries":[["className","fas fa-info-circle"],["tagName","i"],["color","white"]]}]]}]}]},{"type":"model","name":"Notification","properties":[{"name":"background","kind":"Any","default":null},{"name":"duration","kind":"Any","default":3000},{"name":"icon","kind":"Any","default":null},{"name":"message","kind":"Any","default":""},{"name":"notification_type","kind":"Any","default":null},{"name":"_destroyed","kind":"Any","default":false}]},{"type":"model","name":"TemplateActions1","properties":[{"name":"open_modal","kind":"Any","default":0},{"name":"close_modal","kind":"Any","default":0}]},{"type":"model","name":"BootstrapTemplateActions1","properties":[{"name":"open_modal","kind":"Any","default":0},{"name":"close_modal","kind":"Any","default":0}]},{"type":"model","name":"TemplateEditor1","properties":[{"name":"layout","kind":"Any","default":[]}]},{"type":"model","name":"MaterialTemplateActions1","properties":[{"name":"open_modal","kind":"Any","default":0},{"name":"close_modal","kind":"Any","default":0}]},{"type":"model","name":"copy_to_clipboard1","properties":[{"name":"fill","kind":"Any","default":"none"},{"name":"value","kind":"Any","default":null}]}]}};
+  var render_items = [{"docid":"e97572b0-ffa9-4b9e-9dbf-2f8b4984540e","roots":{"p2372":"e5e06e41-a29e-481b-9b5e-ba987ccc5960"},"root_ids":["p2372"]}];
   var docs = Object.values(docs_json)
   if (!docs) {
     return
   }
   const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')
-  function embed_document(root) {
+  async function embed_document(root) {
     var Bokeh = get_bokeh(root)
-    Bokeh.embed.embed_items_notebook(docs_json, render_items);
+    await Bokeh.embed.embed_items_notebook(docs_json, render_items);
     for (const render_item of render_items) {
       for (const root_id of render_item.root_ids) {
     const id_el = document.getElementById(root_id)
-    if (id_el.children.length && (id_el.children[0].className === 'bk-root')) {
+    if (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {
       const root_el = id_el.children[0]
       root_el.id = root_el.id + '-rendered'
+      for (const child of root_el.children) {
+            // Ensure JupyterLab does not capture keyboard shortcuts
+            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model
+        child.setAttribute('data-lm-suppress-shortcuts', 'true')
+      }
     }
       }
     }
@@ -2774,10 +2849,10 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
 IPython version      : 8.20.0
 
 numpy         : 1.26.4
-scipy         : 1.13.0
+scipy         : 1.13.1
 pandas        : 2.2.1
 bootcamp_utils: 0.0.7
-bokeh         : 3.4.0
+bokeh         : 3.4.1
 holoviews     : 1.18.3
 jupyterlab    : 4.0.13
 
@@ -2802,7 +2877,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x136715d50> 
+   <jinja2.runtime.BlockReference object at 0x14dc11c90> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l40_holoviews.ipynb b/2024/lessons/l40_holoviews.ipynb
index 4ff5652d..2efc3189 100644
--- a/2024/lessons/l40_holoviews.ipynb
+++ b/2024/lessons/l40_holoviews.ipynb
@@ -29,7 +29,7 @@
        "    </style>\n",
        "    <div>\n",
        "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-notebook-logo\"></a>\n",
-       "        <span id=\"f4bdf27b-8e65-42ee-a501-5fc1b142d80a\">Loading BokehJS ...</span>\n",
+       "        <span id=\"ff87c8af-a091-4d0b-915e-13ffacc289f4\">Loading BokehJS ...</span>\n",
        "    </div>\n"
       ]
      },
@@ -202,7 +202,7 @@
        "     \"</div>\"}};\n",
        "\n",
        "  function display_loaded(error = null) {\n",
-       "    const el = document.getElementById(\"f4bdf27b-8e65-42ee-a501-5fc1b142d80a\");\n",
+       "    const el = document.getElementById(\"ff87c8af-a091-4d0b-915e-13ffacc289f4\");\n",
        "    if (el != null) {\n",
        "      const html = (() => {\n",
        "        if (typeof root.Bokeh === \"undefined\") {\n",
@@ -310,7 +310,7 @@
        "    document.body.appendChild(element);\n",
        "  }\n",
        "\n",
-       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.0.min.js\", \"https://unpkg.com/@holoviz/panel@1.4.2/dist/panel.min.js\"];\n",
+       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\", \"https://unpkg.com/@holoviz/panel@1.4.4/dist/panel.min.js\"];\n",
        "  const css_urls = [];\n",
        "\n",
        "  const inline_js = [    function(Bokeh) {\n",
@@ -336,7 +336,7 @@
        "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
        "      root._bokeh_failed_load = true;\n",
        "    } else if (force !== true) {\n",
-       "      const cell = $(document.getElementById(\"f4bdf27b-8e65-42ee-a501-5fc1b142d80a\")).parents('.cell').data().cell;\n",
+       "      const cell = $(document.getElementById(\"ff87c8af-a091-4d0b-915e-13ffacc289f4\")).parents('.cell').data().cell;\n",
        "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
        "    }\n",
        "  }\n",
@@ -352,7 +352,7 @@
        "  }\n",
        "}(window));"
       ],
-      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"f4bdf27b-8e65-42ee-a501-5fc1b142d80a\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.0.min.js\", \"https://unpkg.com/@holoviz/panel@1.4.2/dist/panel.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"f4bdf27b-8e65-42ee-a501-5fc1b142d80a\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
+      "application/vnd.bokehjs_load.v0+json": "'use strict';\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded(error = null) {\n    const el = document.getElementById(\"ff87c8af-a091-4d0b-915e-13ffacc289f4\");\n    if (el != null) {\n      const html = (() => {\n        if (typeof root.Bokeh === \"undefined\") {\n          if (error == null) {\n            return \"BokehJS is loading ...\";\n          } else {\n            return \"BokehJS failed to load.\";\n          }\n        } else {\n          const prefix = `BokehJS ${root.Bokeh.version}`;\n          if (error == null) {\n            return `${prefix} successfully loaded.`;\n          } else {\n            return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n          }\n        }\n      })();\n      el.innerHTML = html;\n\n      if (error != null) {\n        const wrapper = document.createElement(\"div\");\n        wrapper.style.overflow = \"auto\";\n        wrapper.style.height = \"5em\";\n        wrapper.style.resize = \"vertical\";\n        const content = document.createElement(\"div\");\n        content.style.fontFamily = \"monospace\";\n        content.style.whiteSpace = \"pre-wrap\";\n        content.style.backgroundColor = \"rgb(255, 221, 221)\";\n        content.textContent = error.stack ?? error.toString();\n        wrapper.append(content);\n        el.append(wrapper);\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(() => display_loaded(error), 100);\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.4.1.min.js\", \"https://unpkg.com/@holoviz/panel@1.4.4/dist/panel.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n      try {\n            for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n\n      } catch (error) {display_loaded(error);throw error;\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"ff87c8af-a091-4d0b-915e-13ffacc289f4\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -366,7 +366,7 @@
        "  }\n",
        "\n",
        "  var force = true;\n",
-       "  var py_version = '3.4.0'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
+       "  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
        "  var reloading = false;\n",
        "  var Bokeh = root.Bokeh;\n",
        "\n",
@@ -522,7 +522,7 @@
        "    document.body.appendChild(element);\n",
        "  }\n",
        "\n",
-       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.holoviz.org/panel/1.4.2/dist/panel.min.js\"];\n",
+       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js\"];\n",
        "  var js_modules = [];\n",
        "  var js_exports = {};\n",
        "  var css_urls = [];\n",
@@ -595,7 +595,7 @@
        "  setTimeout(load_or_wait, 100)\n",
        "}(window));"
       ],
-      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.0'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks;\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.holoviz.org/panel/1.4.2/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
+      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks;\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.holoviz.org/panel/1.4.4/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -877,25 +877,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1002'>\n",
-       "  <div id=\"a3b4897b-5229-4137-bca0-ed7c7964a74c\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"b64faf9c-ff03-4df6-ae50-a00b114d95e0\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"42775466-1c7b-44e5-8f89-25699040b2b1\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1002\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1003\",\"attributes\":{\"plot_id\":\"p1002\",\"comm_id\":\"f2e9af29ab01478a9dc4a1242bbb9fba\",\"client_comm_id\":\"de1e435dcbd8462896e84159cc372a73\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
-       "  var render_items = [{\"docid\":\"42775466-1c7b-44e5-8f89-25699040b2b1\",\"roots\":{\"p1002\":\"a3b4897b-5229-4137-bca0-ed7c7964a74c\"},\"root_ids\":[\"p1002\"]}];\n",
+       "  var docs_json = {\"730b4bc8-5a81-4f4d-a6ff-caca8125eb50\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1002\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1003\",\"attributes\":{\"plot_id\":\"p1002\",\"comm_id\":\"ab67728558254b4e825b4c0980274896\",\"client_comm_id\":\"fb18f313c98f4939ba3aa69b2abcd58f\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"730b4bc8-5a81-4f4d-a6ff-caca8125eb50\",\"roots\":{\"p1002\":\"b64faf9c-ff03-4df6-ae50-a00b114d95e0\"},\"root_ids\":[\"p1002\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -1224,25 +1229,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1004'>\n",
-       "  <div id=\"f78b258b-3910-4942-bb52-59232d633831\" data-root-id=\"p1004\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"b992ada2-c8eb-454e-9226-0a36416bf281\" data-root-id=\"p1004\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"bd4a0358-8bb6-49c4-b40f-66295b9e462a\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1004\",\"attributes\":{\"name\":\"Row00866\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1007\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1062\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1005\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1006\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/native.css\"}}],\"min_width\":300,\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1008\",\"attributes\":{\"name\":\"HSpacer00872\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 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400px));\\n}\",{\"id\":\"p1007\"},{\"id\":\"p1005\"},{\"id\":\"p1006\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"67cec309-4bd7-45ca-a252-8a74526ed286\",\"roots\":{\"p1004\":\"b992ada2-c8eb-454e-9226-0a36416bf281\"},\"root_ids\":[\"p1004\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -1364,25 +1374,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1066'>\n",
-       "  <div id=\"e4457454-f67c-4fd7-8d4b-c5dc5cc78187\" data-root-id=\"p1066\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"ed7db15a-c671-4523-a906-294b5e2e1dc7\" data-root-id=\"p1066\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"50bfcf02-ac6b-4502-9b4e-17a43f14a092\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1066\",\"attributes\":{\"name\":\"Row00914\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1069\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1124\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1067\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1068\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/native.css\"}}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1070\",\"attributes\":{\"name\":\"HSpacer00921\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1069\"},{\"id\":\"p1067\"},{\"id\":\"p1068\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}},{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1077\",\"attributes\":{\"width\":null,\"height\":null,\"margin\":[5,10],\"sizing_mode\":\"fixed\",\"align\":\"start\",\"x_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1071\",\"attributes\":{\"tags\":[[[\"beak length (mm)\",\"beak length (mm)\",null]],[]],\"start\":8.38,\"end\":15.819999999999999,\"reset_start\":8.38,\"reset_end\":15.819999999999999}},\"y_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1072\",\"attributes\":{\"tags\":[[[\"beak depth (mm)\",\"beak depth (mm)\",null]],{\"type\":\"map\",\"entries\":[[\"invert_yaxis\",false],[\"autorange\",false]]}],\"start\":6.8100000000000005,\"end\":11.49,\"reset_start\":6.8100000000000005,\"reset_end\":11.49}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1087\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1088\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1080\",\"attributes\":{\"text_color\":\"black\",\"text_font_size\":\"12pt\"}},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1117\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1108\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1109\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1110\"},\"data\":{\"type\":\"map\",\"entries\":[[\"beak length 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fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"04ac8944-0fc9-40f0-98db-fae477cd8685\",\"roots\":{\"p1066\":\"ed7db15a-c671-4523-a906-294b5e2e1dc7\"},\"root_ids\":[\"p1066\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -1482,25 +1497,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1128'>\n",
-       "  <div id=\"b3ee494a-d5ca-4548-bf22-224d03063742\" data-root-id=\"p1128\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"cde38543-d5a2-49ec-ad18-afb8d2953eb4\" data-root-id=\"p1128\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"46aa7118-4932-4673-919f-1be69577ecc2\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1128\",\"attributes\":{\"name\":\"Row04300\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1131\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1186\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1129\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1130\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/native.css\"}}],\"min_width\":450,\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1132\",\"attributes\":{\"name\":\"HSpacer04306\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 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(mm)\",null]],{\"type\":\"map\",\"entries\":[[\"invert_yaxis\",false],[\"autorange\",false]]}],\"start\":7.005,\"end\":11.295,\"reset_start\":7.005,\"reset_end\":11.295}},\"x_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1149\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p1150\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p1142\",\"attributes\":{\"text_color\":\"black\",\"text_font_size\":\"12pt\"}},\"renderers\":[{\"type\":\"object\",\"name\":\"GlyphRenderer\",\"id\":\"p1179\",\"attributes\":{\"data_source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1170\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1171\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1172\"},\"data\":{\"type\":\"map\",\"entries\":[[\"beak length 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length (mm)\"},\"y\":{\"type\":\"field\",\"field\":\"beak depth (mm)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.75},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.75},\"hatch_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.75}}},\"selection_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p1182\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"beak length (mm)\"},\"y\":{\"type\":\"field\",\"field\":\"beak depth (mm)\"},\"size\":{\"type\":\"value\",\"value\":4},\"angle\":{\"type\":\"value\",\"value\":0.0},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.75},\"line_width\":{\"type\":\"value\",\"value\":1},\"line_join\":{\"type\":\"value\",\"value\":\"bevel\"},\"line_cap\":{\"type\":\"value\",\"value\":\"butt\"},\"line_dash\":{\"type\":\"value\",\"value\":[]},\"line_dash_offset\":{\"type\":\"value\",\"value\":0},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.75},\"hatch_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.75},\"hatch_scale\":{\"type\":\"value\",\"value\":12.0},\"hatch_pattern\":{\"type\":\"value\",\"value\":null},\"hatch_weight\":{\"type\":\"value\",\"value\":1.0},\"marker\":{\"type\":\"value\",\"value\":\"circle\"}}},\"nonselection_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p1177\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"beak length (mm)\"},\"y\":{\"type\":\"field\",\"field\":\"beak depth (mm)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.75},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.75},\"hatch_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.1}}},\"muted_glyph\":{\"type\":\"object\",\"name\":\"Scatter\",\"id\":\"p1178\",\"attributes\":{\"tags\":[\"apply_ranges\"],\"x\":{\"type\":\"field\",\"field\":\"beak length (mm)\"},\"y\":{\"type\":\"field\",\"field\":\"beak depth (mm)\"},\"line_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"line_alpha\":{\"type\":\"value\",\"value\":0.2},\"fill_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"fill_alpha\":{\"type\":\"value\",\"value\":0.2},\"hatch_color\":{\"type\":\"value\",\"value\":\"#1f77b3\"},\"hatch_alpha\":{\"type\":\"value\",\"value\":0.2}}}}}],\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1148\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1138\",\"attributes\":{\"tags\":[\"hv_created\"],\"renderers\":\"auto\",\"zoom_together\":\"none\"}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1161\"},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1162\"},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1163\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1164\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1169\"}],\"active_drag\":{\"id\":\"p1162\"},\"active_scroll\":{\"id\":\"p1138\"}}},\"toolbar_location\":\"above\",\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1156\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1157\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1158\"},\"axis_label\":\"beak depth (mm)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1159\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1151\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1152\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1153\"},\"axis_label\":\"beak length (mm)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1154\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1155\",\"attributes\":{\"axis\":{\"id\":\"p1151\"},\"ticker\":{\"id\":\"p1152\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1160\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1156\"},\"ticker\":{\"id\":\"p1157\"}}}],\"min_border_top\":10,\"min_border_bottom\":10,\"min_border_left\":10,\"min_border_right\":10,\"output_backend\":\"webgl\"}},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1184\",\"attributes\":{\"name\":\"HSpacer04307\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1131\"},{\"id\":\"p1129\"},{\"id\":\"p1130\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"b5c17905-376e-4d50-979c-ea38fc3b30f9\",\"roots\":{\"p1128\":\"cde38543-d5a2-49ec-ad18-afb8d2953eb4\"},\"root_ids\":[\"p1128\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
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(mm)\\\"]}]}\"]]}]]},\"widgets\":{\"type\":\"map\",\"entries\":[[\"p1250\",0]]},\"values\":[\"fortis\"]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"22c568f9-dc19-4c95-9662-be00e9dbee20\",\"roots\":{\"p1190\":\"d2b32c11-5d5c-47b5-8ca4-fe6c247b659c\"},\"root_ids\":[\"p1190\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -1707,25 +1732,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1266'>\n",
-       "  <div id=\"d808c140-8f8b-46f8-9ebf-c940a8f881e1\" data-root-id=\"p1266\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"d0bd6bec-4ee5-40ea-ae4d-2de2f2a5a070\" data-root-id=\"p1266\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"79eed866-a151-4103-aeb4-85293ff51706\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1266\",\"attributes\":{\"name\":\"Row04474\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1269\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1381\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1267\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1268\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/native.css\"}}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1270\",\"attributes\":{\"name\":\"HSpacer04480\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1269\"},{\"id\":\"p1267\"},{\"id\":\"p1268\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}},{\"type\":\"object\",\"name\":\"GridPlot\",\"id\":\"p1370\",\"attributes\":{\"rows\":null,\"cols\":null,\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p1377\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p1372\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1276\",\"attributes\":{\"tags\":[\"hv_created\"],\"renderers\":\"auto\",\"zoom_together\":\"none\"}},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p1324\",\"attributes\":{\"tags\":[\"hv_created\"],\"renderers\":\"auto\",\"zoom_together\":\"none\"}}]}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1373\"},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p1374\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1300\"},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1348\"}]}},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p1375\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1301\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1302\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1349\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1350\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}}]}},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p1376\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1307\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1355\"}]}}]}},\"children\":[[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1277\",\"attributes\":{\"width\":null,\"height\":null,\"sizing_mode\":\"fixed\",\"align\":\"start\",\"x_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1271\",\"attributes\":{\"tags\":[[[\"beak 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+       "  var render_items = [{\"docid\":\"c668838f-b114-4cb1-884d-e806c46293dd\",\"roots\":{\"p1266\":\"d0bd6bec-4ee5-40ea-ae4d-2de2f2a5a070\"},\"root_ids\":[\"p1266\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -1822,25 +1852,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1387'>\n",
-       "  <div id=\"ab516c51-6154-44b6-9035-2ce404ecc68b\" data-root-id=\"p1387\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"d06689cd-6a3a-4624-9320-435a241d3202\" data-root-id=\"p1387\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"7ae57a2b-2346-4e80-b305-ecd3ed167720\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1387\",\"attributes\":{\"name\":\"Row04604\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 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fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"08820e10-b18a-48cc-9f97-6a01e561a0a3\",\"roots\":{\"p1387\":\"d06689cd-6a3a-4624-9320-435a241d3202\"},\"root_ids\":[\"p1387\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -1946,25 +1981,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1469'>\n",
-       "  <div id=\"be943324-9af4-4f37-adaf-a4829460360d\" data-root-id=\"p1469\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"b12bf2d6-1d41-41bc-8984-f8ae0ce483a6\" data-root-id=\"p1469\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"9638ba28-f493-462e-b401-5b831b09db65\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1469\",\"attributes\":{\"name\":\"Row04724\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 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depth (mm)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1504\"}}}],\"right\":[{\"type\":\"object\",\"name\":\"Legend\",\"id\":\"p1527\",\"attributes\":{\"location\":[10,100],\"title\":\"species\",\"click_policy\":\"hide\",\"label_text_font_size\":\"8pt\",\"items\":[{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1528\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"fortis\"},\"renderers\":[{\"id\":\"p1524\"}]}},{\"type\":\"object\",\"name\":\"LegendItem\",\"id\":\"p1542\",\"attributes\":{\"label\":{\"type\":\"value\",\"value\":\"scandens\"},\"renderers\":[{\"id\":\"p1539\"}]}}]}}],\"below\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1496\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1497\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1498\"},\"axis_label\":\"beak length (mm)\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1499\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1500\",\"attributes\":{\"axis\":{\"id\":\"p1496\"},\"ticker\":{\"id\":\"p1497\"}}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1505\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1501\"},\"ticker\":{\"id\":\"p1502\"}}}],\"min_border_top\":10,\"min_border_bottom\":10,\"min_border_left\":10,\"min_border_right\":10,\"output_backend\":\"webgl\"}},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1545\",\"attributes\":{\"name\":\"HSpacer04731\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1472\"},{\"id\":\"p1470\"},{\"id\":\"p1471\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"e402fd3f-bc2c-456d-aae3-e2f9119a358a\",\"roots\":{\"p1469\":\"b12bf2d6-1d41-41bc-8984-f8ae0ce483a6\"},\"root_ids\":[\"p1469\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -2060,25 +2100,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1557'>\n",
-       "  <div id=\"bbeda764-acd5-4846-8fbe-754f981a9308\" data-root-id=\"p1557\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"ca4da9d2-d981-4466-b44b-5ae74031daa4\" data-root-id=\"p1557\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"9bb16274-32dd-416b-84ee-30401943ef96\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1557\",\"attributes\":{\"name\":\"Row05000\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1560\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1641\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1558\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1559\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/native.css\"}}],\"min_width\":450,\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1561\",\"attributes\":{\"name\":\"HSpacer05027\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1560\"},{\"id\":\"p1558\"},{\"id\":\"p1559\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}},{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1572\",\"attributes\":{\"width\":450,\"height\":350,\"margin\":[5,10],\"sizing_mode\":\"fixed\",\"align\":\"start\",\"x_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1562\",\"attributes\":{\"tags\":[[[\"beak length (mm)\",\"beak length (mm)\",null]],[]],\"start\":8.41611111111111,\"end\":16.28388888888889,\"reset_start\":8.41611111111111,\"reset_end\":16.28388888888889}},\"y_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1563\",\"attributes\":{\"tags\":[[[\"beak depth (mm)\",\"beak depth 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+       "  var render_items = [{\"docid\":\"a16b7f24-07ba-4eed-b714-6069fa39cff7\",\"roots\":{\"p1557\":\"ca4da9d2-d981-4466-b44b-5ae74031daa4\"},\"root_ids\":[\"p1557\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -2200,7 +2245,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "                                                                                \r"
+      "                                                                                     \r"
      ]
     }
    ],
@@ -2214,7 +2259,7 @@
    "source": [
     "When we open `finch_plot.html`, the result is a fully interactive plot, self-contained in the HTML file. This file can be emailed to a colleague or even embedded in a publication.\n",
     "\n",
-    "When we discuss [dashboarding](l26_dashboards.ipynb), we will see that we can make even more elaborate, informative interactive plots, though exporting these to standalone HTML is more challenging."
+    "When we discuss [dashboarding](l28_dashboards.ipynb), we will see that we can make even more elaborate, informative interactive plots, though exporting these to standalone HTML is more challenging."
    ]
   },
   {
@@ -2235,7 +2280,7 @@
      "data": {
       "text/html": [
        "\n",
-       "  <div id=\"a247218f-d3d4-4ba2-afa3-16a5558d5946\" data-root-id=\"p1903\" style=\"display: contents;\"></div>\n"
+       "  <div id=\"bc65bbce-3982-4553-bf2a-2d1f90518e03\" data-root-id=\"p1903\" style=\"display: contents;\"></div>\n"
       ]
      },
      "metadata": {},
@@ -2246,8 +2291,8 @@
       "application/javascript": [
        "(function(root) {\n",
        "  function embed_document(root) {\n",
-       "  const docs_json = {\"95660466-97da-47df-ba98-bfc3b173146a\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p1903\",\"attributes\":{\"width\":450,\"height\":350,\"sizing_mode\":\"fixed\",\"align\":\"start\",\"x_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1893\",\"attributes\":{\"tags\":[[[\"beak length (mm)\",\"beak length (mm)\",null]],[]],\"start\":8.41611111111111,\"end\":16.28388888888889,\"reset_start\":8.41611111111111,\"reset_end\":16.28388888888889}},\"y_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p1894\",\"attributes\":{\"tags\":[[[\"beak depth (mm)\",\"beak depth 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+       "  const render_items = [{\"docid\":\"f14d6d39-456c-4795-8b7f-aaec8314c76f\",\"roots\":{\"p1903\":\"bc65bbce-3982-4553-bf2a-2d1f90518e03\"},\"root_ids\":[\"p1903\"]}];\n",
        "  void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "  }\n",
        "  if (root.Bokeh !== undefined) {\n",
@@ -2342,25 +2387,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
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-       "  <div id=\"c2813862-9d4e-4a63-a71f-a02caf978a4b\" data-root-id=\"p1970\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"fe52dd59-26c7-41b9-9d5a-2b44531ef204\" data-root-id=\"p1970\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
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+       "  var render_items = [{\"docid\":\"2341c6b6-3da5-4c61-8bd0-2f2a55cde188\",\"roots\":{\"p1970\":\"fe52dd59-26c7-41b9-9d5a-2b44531ef204\"},\"root_ids\":[\"p1970\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -2466,25 +2516,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p2032'>\n",
-       "  <div id=\"b81140c5-8cc1-4a96-8edb-9303d04efb97\" data-root-id=\"p2032\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"cdbdd297-ba8b-4ae5-a3b8-9905df9b5983\" data-root-id=\"p2032\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
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fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"050b9daa-7cfc-48b5-8936-1c48471a198c\",\"roots\":{\"p2032\":\"cdbdd297-ba8b-4ae5-a3b8-9905df9b5983\"},\"root_ids\":[\"p2032\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -2580,25 +2635,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p2183'>\n",
-       "  <div id=\"ce1c308e-0ed8-428c-847e-59ff4719e7a3\" data-root-id=\"p2183\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"e3ffb494-e683-40f5-815a-f701933299db\" data-root-id=\"p2183\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"61e14e76-c25e-45d6-a84e-6b172cc668e4\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p2183\",\"attributes\":{\"name\":\"Row07832\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p2186\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p2305\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p2184\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p2185\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.2/dist/bundled/theme/native.css\"}}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p2187\",\"attributes\":{\"name\":\"HSpacer07838\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  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400px));\\n}\",{\"id\":\"p2186\"},{\"id\":\"p2184\"},{\"id\":\"p2185\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}},{\"type\":\"object\",\"name\":\"GridPlot\",\"id\":\"p2294\",\"attributes\":{\"rows\":null,\"cols\":null,\"toolbar\":{\"type\":\"object\",\"name\":\"Toolbar\",\"id\":\"p2301\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p2296\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p2193\",\"attributes\":{\"tags\":[\"hv_created\"],\"renderers\":\"auto\",\"zoom_together\":\"none\"}},{\"type\":\"object\",\"name\":\"WheelZoomTool\",\"id\":\"p2245\",\"attributes\":{\"tags\":[\"hv_created\"],\"renderers\":\"auto\",\"zoom_together\":\"none\"}}]}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p2297\"},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p2298\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p2217\"},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p2269\"}]}},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p2299\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p2218\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p2219\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p2270\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p2271\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}}]}},{\"type\":\"object\",\"name\":\"ToolProxy\",\"id\":\"p2300\",\"attributes\":{\"tools\":[{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p2224\"},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p2276\"}]}}]}},\"children\":[[{\"type\":\"object\",\"name\":\"Figure\",\"id\":\"p2194\",\"attributes\":{\"width\":400,\"height\":250,\"sizing_mode\":\"fixed\",\"align\":\"start\",\"x_range\":{\"type\":\"object\",\"name\":\"FactorRange\",\"id\":\"p2188\",\"attributes\":{\"tags\":[[[\"year_str\",\"year\",null]],[]],\"factors\":[\"1973\",\"1975\",\"1987\",\"1991\",\"2012\"]}},\"y_range\":{\"type\":\"object\",\"name\":\"Range1d\",\"id\":\"p2189\",\"attributes\":{\"tags\":[[[\"beak depth (mm)\",\"beak depth (mm)\",null]],{\"type\":\"map\",\"entries\":[[\"invert_yaxis\",false],[\"autorange\",false]]}],\"start\":6.61,\"end\":12.989999999999998,\"reset_start\":6.61,\"reset_end\":12.989999999999998}},\"x_scale\":{\"type\":\"object\",\"name\":\"CategoricalScale\",\"id\":\"p2204\"},\"y_scale\":{\"type\":\"object\",\"name\":\"LinearScale\",\"id\":\"p2205\"},\"title\":{\"type\":\"object\",\"name\":\"Title\",\"id\":\"p2197\",\"attributes\":{\"text\":\"species: 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fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"289782ac-5ded-49c2-b4f2-0bf0e0c81285\",\"roots\":{\"p2183\":\"e3ffb494-e683-40f5-815a-f701933299db\"},\"root_ids\":[\"p2183\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -2719,25 +2779,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p2309'>\n",
-       "  <div id=\"fa0bcbf6-bd27-45fc-9b93-b363367198d5\" data-root-id=\"p2309\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"dbb9744e-4429-458a-8ae3-2ef6156171a5\" data-root-id=\"p2309\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"82ebd05d-d4d4-4ce9-ba02-16de8e003ac6\":{\"version\":\"3.4.0\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p2309\",\"attributes\":{\"name\":\"Row07921\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 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-       "  var render_items = [{\"docid\":\"82ebd05d-d4d4-4ce9-ba02-16de8e003ac6\",\"roots\":{\"p2309\":\"fa0bcbf6-bd27-45fc-9b93-b363367198d5\"},\"root_ids\":[\"p2309\"]}];\n",
+       "  var docs_json = {\"758d6caf-38b9-4afc-bdb6-22710a110b4a\":{\"version\":\"3.4.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p2309\",\"attributes\":{\"name\":\"Row07921\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 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fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"758d6caf-38b9-4afc-bdb6-22710a110b4a\",\"roots\":{\"p2309\":\"dbb9744e-4429-458a-8ae3-2ef6156171a5\"},\"root_ids\":[\"p2309\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -2822,9 +2887,14 @@
     "def ecdf_transform(data):\n",
     "    return data.rank(method=\"first\") / len(data)\n",
     "\n",
-    "df_2012[\"beak depth ECDF\"] = df_2012.groupby(\"species\")[\n",
-    "    \"beak depth (mm)\"\n",
-    "].transform(ecdf_transform).values"
+    "\n",
+    "df_2012 = df_2012.assign(\n",
+    "    **{\n",
+    "        \"beak depth ECDF\": df_2012.groupby(\"species\")[\"beak depth (mm)\"]\n",
+    "        .transform(ecdf_transform)\n",
+    "        .values\n",
+    "    }\n",
+    ")"
    ]
   },
   {
@@ -2849,25 +2919,30 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p2372'>\n",
-       "  <div id=\"b0361460-f273-48de-8483-160ca5ad8dbf\" data-root-id=\"p2372\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"e5e06e41-a29e-481b-9b5e-ba987ccc5960\" data-root-id=\"p2372\" style=\"display: contents;\"></div>\n",
        "</div>\n",
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fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"e97572b0-ffa9-4b9e-9dbf-2f8b4984540e\",\"roots\":{\"p2372\":\"e5e06e41-a29e-481b-9b5e-ba987ccc5960\"},\"root_ids\":[\"p2372\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
        "  }\n",
        "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  function embed_document(root) {\n",
+       "  async function embed_document(root) {\n",
        "    var Bokeh = get_bokeh(root)\n",
-       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
        "    for (const render_item of render_items) {\n",
        "      for (const root_id of render_item.root_ids) {\n",
        "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && (id_el.children[0].className === 'bk-root')) {\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
        "\t  const root_el = id_el.children[0]\n",
        "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
        "\t}\n",
        "      }\n",
        "    }\n",
@@ -2977,10 +3052,10 @@
       "IPython version      : 8.20.0\n",
       "\n",
       "numpy         : 1.26.4\n",
-      "scipy         : 1.13.0\n",
+      "scipy         : 1.13.1\n",
       "pandas        : 2.2.1\n",
       "bootcamp_utils: 0.0.7\n",
-      "bokeh         : 3.4.0\n",
+      "bokeh         : 3.4.1\n",
       "holoviews     : 1.18.3\n",
       "jupyterlab    : 4.0.13\n",
       "\n"
diff --git a/2024/lessons/l41_altair.html b/2024/lessons/l41_altair.html
index 8db3bde2..73c59abd 100644
--- a/2024/lessons/l41_altair.html
+++ b/2024/lessons/l41_altair.html
@@ -195,7 +195,7 @@ <h1>Lesson 41: High level plotting with Vega-Altair<a class="headerlink" href="#
 </pre></div>
 </div>
 <div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;data/gfmt_sleep.csv&#39;</span><span class="p">,</span> <span class="n">na_values</span><span class="o">=</span><span class="s1">&#39;*&#39;</span><span class="p">)</span>
-<span class="n">df</span><span class="p">[</span><span class="s1">&#39;insomnia&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="s1">&#39;sci&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="mi">16</span>
+<span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">insomnia</span><span class="o">=</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;sci&#39;</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="mi">16</span><span class="p">)</span>
 </pre></div>
 </div>
 </div>
@@ -218,23 +218,23 @@ <h2>Our first plot with Vega-Altair<a class="headerlink" href="#Our-first-plot-w
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-531a315b76fc474193d0ff42c9cf0466.vega-embed {
+  #altair-viz-6ff02af174f14bd3a7633c42c0af0af5.vega-embed {
     width: 100%;
     display: flex;
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   }
 </style>
-<div id="altair-viz-531a315b76fc474193d0ff42c9cf0466"></div>
+<div id="altair-viz-6ff02af174f14bd3a7633c42c0af0af5"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-531a315b76fc474193d0ff42c9cf0466") {
-      outputDiv = document.getElementById("altair-viz-531a315b76fc474193d0ff42c9cf0466");
+    if (outputDiv.id !== "altair-viz-6ff02af174f14bd3a7633c42c0af0af5") {
+      outputDiv = document.getElementById("altair-viz-6ff02af174f14bd3a7633c42c0af0af5");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -325,23 +325,23 @@ <h2>Code style in plot specifications<a class="headerlink" href="#Code-style-in-
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-99eef1a42026412790750797865974d6.vega-embed {
+  #altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-99eef1a42026412790750797865974d6.vega-embed details,
-  #altair-viz-99eef1a42026412790750797865974d6.vega-embed details summary {
+  #altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9.vega-embed details,
+  #altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-99eef1a42026412790750797865974d6"></div>
+<div id="altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-99eef1a42026412790750797865974d6") {
-      outputDiv = document.getElementById("altair-viz-99eef1a42026412790750797865974d6");
+    if (outputDiv.id !== "altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9") {
+      outputDiv = document.getElementById("altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -446,23 +446,23 @@ <h2>Vega-Altair data types<a class="headerlink" href="#Vega-Altair-data-types" t
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34.vega-embed {
+  #altair-viz-2f2cfdf4162b441094be52da05fa03ff.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34.vega-embed details,
-  #altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34.vega-embed details summary {
+  #altair-viz-2f2cfdf4162b441094be52da05fa03ff.vega-embed details,
+  #altair-viz-2f2cfdf4162b441094be52da05fa03ff.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34"></div>
+<div id="altair-viz-2f2cfdf4162b441094be52da05fa03ff"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34") {
-      outputDiv = document.getElementById("altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34");
+    if (outputDiv.id !== "altair-viz-2f2cfdf4162b441094be52da05fa03ff") {
+      outputDiv = document.getElementById("altair-viz-2f2cfdf4162b441094be52da05fa03ff");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -531,23 +531,23 @@ <h2>Vega-Altair marks<a class="headerlink" href="#Vega-Altair-marks" title="Link
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-1c8e00fbed6a494c8c4cefc6315c901a.vega-embed {
+  #altair-viz-7ddb269646d94fe6bc1fe95c0adf6771.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-1c8e00fbed6a494c8c4cefc6315c901a.vega-embed details,
-  #altair-viz-1c8e00fbed6a494c8c4cefc6315c901a.vega-embed details summary {
+  #altair-viz-7ddb269646d94fe6bc1fe95c0adf6771.vega-embed details,
+  #altair-viz-7ddb269646d94fe6bc1fe95c0adf6771.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-1c8e00fbed6a494c8c4cefc6315c901a"></div>
+<div id="altair-viz-7ddb269646d94fe6bc1fe95c0adf6771"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-1c8e00fbed6a494c8c4cefc6315c901a") {
-      outputDiv = document.getElementById("altair-viz-1c8e00fbed6a494c8c4cefc6315c901a");
+    if (outputDiv.id !== "altair-viz-7ddb269646d94fe6bc1fe95c0adf6771") {
+      outputDiv = document.getElementById("altair-viz-7ddb269646d94fe6bc1fe95c0adf6771");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -621,23 +621,23 @@ <h2>Vega-Altair encodings<a class="headerlink" href="#Vega-Altair-encodings" tit
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-f9a4db84d9514548ab292850592e73fa.vega-embed {
+  #altair-viz-450267754f604feea9407ec947bc9ca9.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-f9a4db84d9514548ab292850592e73fa.vega-embed details,
-  #altair-viz-f9a4db84d9514548ab292850592e73fa.vega-embed details summary {
+  #altair-viz-450267754f604feea9407ec947bc9ca9.vega-embed details,
+  #altair-viz-450267754f604feea9407ec947bc9ca9.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-f9a4db84d9514548ab292850592e73fa"></div>
+<div id="altair-viz-450267754f604feea9407ec947bc9ca9"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-f9a4db84d9514548ab292850592e73fa") {
-      outputDiv = document.getElementById("altair-viz-f9a4db84d9514548ab292850592e73fa");
+    if (outputDiv.id !== "altair-viz-450267754f604feea9407ec947bc9ca9") {
+      outputDiv = document.getElementById("altair-viz-450267754f604feea9407ec947bc9ca9");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -711,23 +711,23 @@ <h2>Interactive plotting with Vega-Altair<a class="headerlink" href="#Interactiv
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-28ef80d44adb4a0989cbcb811d27c9f7.vega-embed {
+  #altair-viz-36f7d4b47d1a457a936742c54e5b7c38.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-28ef80d44adb4a0989cbcb811d27c9f7.vega-embed details,
-  #altair-viz-28ef80d44adb4a0989cbcb811d27c9f7.vega-embed details summary {
+  #altair-viz-36f7d4b47d1a457a936742c54e5b7c38.vega-embed details,
+  #altair-viz-36f7d4b47d1a457a936742c54e5b7c38.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-28ef80d44adb4a0989cbcb811d27c9f7"></div>
+<div id="altair-viz-36f7d4b47d1a457a936742c54e5b7c38"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-28ef80d44adb4a0989cbcb811d27c9f7") {
-      outputDiv = document.getElementById("altair-viz-28ef80d44adb4a0989cbcb811d27c9f7");
+    if (outputDiv.id !== "altair-viz-36f7d4b47d1a457a936742c54e5b7c38") {
+      outputDiv = document.getElementById("altair-viz-36f7d4b47d1a457a936742c54e5b7c38");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -798,23 +798,23 @@ <h2>Interactive plotting with Vega-Altair<a class="headerlink" href="#Interactiv
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-a82ad945eddd4df5a383a71a0cc0dc87.vega-embed {
+  #altair-viz-41a41e709c4e4ddf988af6c307adad14.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-a82ad945eddd4df5a383a71a0cc0dc87.vega-embed details,
-  #altair-viz-a82ad945eddd4df5a383a71a0cc0dc87.vega-embed details summary {
+  #altair-viz-41a41e709c4e4ddf988af6c307adad14.vega-embed details,
+  #altair-viz-41a41e709c4e4ddf988af6c307adad14.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-a82ad945eddd4df5a383a71a0cc0dc87"></div>
+<div id="altair-viz-41a41e709c4e4ddf988af6c307adad14"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-a82ad945eddd4df5a383a71a0cc0dc87") {
-      outputDiv = document.getElementById("altair-viz-a82ad945eddd4df5a383a71a0cc0dc87");
+    if (outputDiv.id !== "altair-viz-41a41e709c4e4ddf988af6c307adad14") {
+      outputDiv = document.getElementById("altair-viz-41a41e709c4e4ddf988af6c307adad14");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -931,7 +931,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x157b01910> 
+   <jinja2.runtime.BlockReference object at 0x14d901810> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l41_altair.ipynb b/2024/lessons/l41_altair.ipynb
index 109c86db..b87abaa5 100644
--- a/2024/lessons/l41_altair.ipynb
+++ b/2024/lessons/l41_altair.ipynb
@@ -40,7 +40,7 @@
    "outputs": [],
    "source": [
     "df = pd.read_csv('data/gfmt_sleep.csv', na_values='*')\n",
-    "df['insomnia'] = df['sci'] <= 16"
+    "df = df.assign(insomnia=df['sci'] <= 16)"
    ]
   },
   {
@@ -62,23 +62,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-531a315b76fc474193d0ff42c9cf0466.vega-embed {\n",
+       "  #altair-viz-6ff02af174f14bd3a7633c42c0af0af5.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-531a315b76fc474193d0ff42c9cf0466.vega-embed details,\n",
-       "  #altair-viz-531a315b76fc474193d0ff42c9cf0466.vega-embed details summary {\n",
+       "  #altair-viz-6ff02af174f14bd3a7633c42c0af0af5.vega-embed details,\n",
+       "  #altair-viz-6ff02af174f14bd3a7633c42c0af0af5.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-531a315b76fc474193d0ff42c9cf0466\"></div>\n",
+       "<div id=\"altair-viz-6ff02af174f14bd3a7633c42c0af0af5\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-531a315b76fc474193d0ff42c9cf0466\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-531a315b76fc474193d0ff42c9cf0466\");\n",
+       "    if (outputDiv.id !== \"altair-viz-6ff02af174f14bd3a7633c42c0af0af5\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-6ff02af174f14bd3a7633c42c0af0af5\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -191,23 +191,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-99eef1a42026412790750797865974d6.vega-embed {\n",
+       "  #altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-99eef1a42026412790750797865974d6.vega-embed details,\n",
-       "  #altair-viz-99eef1a42026412790750797865974d6.vega-embed details summary {\n",
+       "  #altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9.vega-embed details,\n",
+       "  #altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-99eef1a42026412790750797865974d6\"></div>\n",
+       "<div id=\"altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-99eef1a42026412790750797865974d6\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-99eef1a42026412790750797865974d6\");\n",
+       "    if (outputDiv.id !== \"altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-2b527c3e3db5460cba8c31b3b4af9fd9\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -313,23 +313,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34.vega-embed {\n",
+       "  #altair-viz-2f2cfdf4162b441094be52da05fa03ff.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34.vega-embed details,\n",
-       "  #altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34.vega-embed details summary {\n",
+       "  #altair-viz-2f2cfdf4162b441094be52da05fa03ff.vega-embed details,\n",
+       "  #altair-viz-2f2cfdf4162b441094be52da05fa03ff.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34\"></div>\n",
+       "<div id=\"altair-viz-2f2cfdf4162b441094be52da05fa03ff\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-b85b3020391e40b6b8aeb4ccc3a3cc34\");\n",
+       "    if (outputDiv.id !== \"altair-viz-2f2cfdf4162b441094be52da05fa03ff\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-2f2cfdf4162b441094be52da05fa03ff\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -414,23 +414,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-1c8e00fbed6a494c8c4cefc6315c901a.vega-embed {\n",
+       "  #altair-viz-7ddb269646d94fe6bc1fe95c0adf6771.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-1c8e00fbed6a494c8c4cefc6315c901a.vega-embed details,\n",
-       "  #altair-viz-1c8e00fbed6a494c8c4cefc6315c901a.vega-embed details summary {\n",
+       "  #altair-viz-7ddb269646d94fe6bc1fe95c0adf6771.vega-embed details,\n",
+       "  #altair-viz-7ddb269646d94fe6bc1fe95c0adf6771.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-1c8e00fbed6a494c8c4cefc6315c901a\"></div>\n",
+       "<div id=\"altair-viz-7ddb269646d94fe6bc1fe95c0adf6771\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-1c8e00fbed6a494c8c4cefc6315c901a\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-1c8e00fbed6a494c8c4cefc6315c901a\");\n",
+       "    if (outputDiv.id !== \"altair-viz-7ddb269646d94fe6bc1fe95c0adf6771\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-7ddb269646d94fe6bc1fe95c0adf6771\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -520,23 +520,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-f9a4db84d9514548ab292850592e73fa.vega-embed {\n",
+       "  #altair-viz-450267754f604feea9407ec947bc9ca9.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-f9a4db84d9514548ab292850592e73fa.vega-embed details,\n",
-       "  #altair-viz-f9a4db84d9514548ab292850592e73fa.vega-embed details summary {\n",
+       "  #altair-viz-450267754f604feea9407ec947bc9ca9.vega-embed details,\n",
+       "  #altair-viz-450267754f604feea9407ec947bc9ca9.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-f9a4db84d9514548ab292850592e73fa\"></div>\n",
+       "<div id=\"altair-viz-450267754f604feea9407ec947bc9ca9\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-f9a4db84d9514548ab292850592e73fa\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-f9a4db84d9514548ab292850592e73fa\");\n",
+       "    if (outputDiv.id !== \"altair-viz-450267754f604feea9407ec947bc9ca9\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-450267754f604feea9407ec947bc9ca9\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -629,23 +629,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-28ef80d44adb4a0989cbcb811d27c9f7.vega-embed {\n",
+       "  #altair-viz-36f7d4b47d1a457a936742c54e5b7c38.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-28ef80d44adb4a0989cbcb811d27c9f7.vega-embed details,\n",
-       "  #altair-viz-28ef80d44adb4a0989cbcb811d27c9f7.vega-embed details summary {\n",
+       "  #altair-viz-36f7d4b47d1a457a936742c54e5b7c38.vega-embed details,\n",
+       "  #altair-viz-36f7d4b47d1a457a936742c54e5b7c38.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-28ef80d44adb4a0989cbcb811d27c9f7\"></div>\n",
+       "<div id=\"altair-viz-36f7d4b47d1a457a936742c54e5b7c38\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-28ef80d44adb4a0989cbcb811d27c9f7\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-28ef80d44adb4a0989cbcb811d27c9f7\");\n",
+       "    if (outputDiv.id !== \"altair-viz-36f7d4b47d1a457a936742c54e5b7c38\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-36f7d4b47d1a457a936742c54e5b7c38\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -730,23 +730,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-a82ad945eddd4df5a383a71a0cc0dc87.vega-embed {\n",
+       "  #altair-viz-41a41e709c4e4ddf988af6c307adad14.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-a82ad945eddd4df5a383a71a0cc0dc87.vega-embed details,\n",
-       "  #altair-viz-a82ad945eddd4df5a383a71a0cc0dc87.vega-embed details summary {\n",
+       "  #altair-viz-41a41e709c4e4ddf988af6c307adad14.vega-embed details,\n",
+       "  #altair-viz-41a41e709c4e4ddf988af6c307adad14.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-a82ad945eddd4df5a383a71a0cc0dc87\"></div>\n",
+       "<div id=\"altair-viz-41a41e709c4e4ddf988af6c307adad14\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-a82ad945eddd4df5a383a71a0cc0dc87\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-a82ad945eddd4df5a383a71a0cc0dc87\");\n",
+       "    if (outputDiv.id !== \"altair-viz-41a41e709c4e4ddf988af6c307adad14\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-41a41e709c4e4ddf988af6c307adad14\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
diff --git a/2024/lessons/l42_more_altair.html b/2024/lessons/l42_more_altair.html
index 7fdf8fe8..6b879cf6 100644
--- a/2024/lessons/l42_more_altair.html
+++ b/2024/lessons/l42_more_altair.html
@@ -365,23 +365,23 @@ <h2>More control without shortcuts<a class="headerlink" href="#More-control-with
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-8b04dc640af0408cadc08e2c6d1a877f.vega-embed {
+  #altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-8b04dc640af0408cadc08e2c6d1a877f.vega-embed details,
-  #altair-viz-8b04dc640af0408cadc08e2c6d1a877f.vega-embed details summary {
+  #altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce.vega-embed details,
+  #altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-8b04dc640af0408cadc08e2c6d1a877f"></div>
+<div id="altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-8b04dc640af0408cadc08e2c6d1a877f") {
-      outputDiv = document.getElementById("altair-viz-8b04dc640af0408cadc08e2c6d1a877f");
+    if (outputDiv.id !== "altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce") {
+      outputDiv = document.getElementById("altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -453,23 +453,23 @@ <h2>More control without shortcuts<a class="headerlink" href="#More-control-with
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-54a72b022d944e58a2c2c76403ab1c4b.vega-embed {
+  #altair-viz-f7a4f9fa9a2c4cfd99cb3f4617aec0a1.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-54a72b022d944e58a2c2c76403ab1c4b.vega-embed details,
-  #altair-viz-54a72b022d944e58a2c2c76403ab1c4b.vega-embed details summary {
+  #altair-viz-f7a4f9fa9a2c4cfd99cb3f4617aec0a1.vega-embed details,
+  #altair-viz-f7a4f9fa9a2c4cfd99cb3f4617aec0a1.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-54a72b022d944e58a2c2c76403ab1c4b"></div>
+<div id="altair-viz-f7a4f9fa9a2c4cfd99cb3f4617aec0a1"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-54a72b022d944e58a2c2c76403ab1c4b") {
-      outputDiv = document.getElementById("altair-viz-54a72b022d944e58a2c2c76403ab1c4b");
+    if (outputDiv.id !== "altair-viz-f7a4f9fa9a2c4cfd99cb3f4617aec0a1") {
+      outputDiv = document.getElementById("altair-viz-f7a4f9fa9a2c4cfd99cb3f4617aec0a1");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -559,23 +559,23 @@ <h2>Top-level properties<a class="headerlink" href="#Top-level-properties" title
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7.vega-embed {
+  #altair-viz-16da14d0f2714a55b6ce13374c5202a7.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7.vega-embed details,
-  #altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7.vega-embed details summary {
+  #altair-viz-16da14d0f2714a55b6ce13374c5202a7.vega-embed details,
+  #altair-viz-16da14d0f2714a55b6ce13374c5202a7.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7"></div>
+<div id="altair-viz-16da14d0f2714a55b6ce13374c5202a7"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7") {
-      outputDiv = document.getElementById("altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7");
+    if (outputDiv.id !== "altair-viz-16da14d0f2714a55b6ce13374c5202a7") {
+      outputDiv = document.getElementById("altair-viz-16da14d0f2714a55b6ce13374c5202a7");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -651,23 +651,23 @@ <h3>Strip plots<a class="headerlink" href="#Strip-plots" title="Link to this hea
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-93b3985ecf0f4d5884290635215779d1.vega-embed {
+  #altair-viz-812739c44b6f470c940969bb7d335f1e.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-93b3985ecf0f4d5884290635215779d1.vega-embed details,
-  #altair-viz-93b3985ecf0f4d5884290635215779d1.vega-embed details summary {
+  #altair-viz-812739c44b6f470c940969bb7d335f1e.vega-embed details,
+  #altair-viz-812739c44b6f470c940969bb7d335f1e.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-93b3985ecf0f4d5884290635215779d1"></div>
+<div id="altair-viz-812739c44b6f470c940969bb7d335f1e"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-93b3985ecf0f4d5884290635215779d1") {
-      outputDiv = document.getElementById("altair-viz-93b3985ecf0f4d5884290635215779d1");
+    if (outputDiv.id !== "altair-viz-812739c44b6f470c940969bb7d335f1e") {
+      outputDiv = document.getElementById("altair-viz-812739c44b6f470c940969bb7d335f1e");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -741,23 +741,23 @@ <h3>Histograms<a class="headerlink" href="#Histograms" title="Link to this headi
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-6fea39f19c27432a9d55df8776d60d1d.vega-embed {
+  #altair-viz-729846533f704a1085510338b1df0667.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-6fea39f19c27432a9d55df8776d60d1d.vega-embed details,
-  #altair-viz-6fea39f19c27432a9d55df8776d60d1d.vega-embed details summary {
+  #altair-viz-729846533f704a1085510338b1df0667.vega-embed details,
+  #altair-viz-729846533f704a1085510338b1df0667.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-6fea39f19c27432a9d55df8776d60d1d"></div>
+<div id="altair-viz-729846533f704a1085510338b1df0667"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-6fea39f19c27432a9d55df8776d60d1d") {
-      outputDiv = document.getElementById("altair-viz-6fea39f19c27432a9d55df8776d60d1d");
+    if (outputDiv.id !== "altair-viz-729846533f704a1085510338b1df0667") {
+      outputDiv = document.getElementById("altair-viz-729846533f704a1085510338b1df0667");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -835,23 +835,23 @@ <h3>Jitter plots<a class="headerlink" href="#Jitter-plots" title="Link to this h
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-e4ef56880463474e9bb25f669162b932.vega-embed {
+  #altair-viz-1b4e5e0a4e374232b179dc898aeb7583.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-e4ef56880463474e9bb25f669162b932.vega-embed details,
-  #altair-viz-e4ef56880463474e9bb25f669162b932.vega-embed details summary {
+  #altair-viz-1b4e5e0a4e374232b179dc898aeb7583.vega-embed details,
+  #altair-viz-1b4e5e0a4e374232b179dc898aeb7583.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-e4ef56880463474e9bb25f669162b932"></div>
+<div id="altair-viz-1b4e5e0a4e374232b179dc898aeb7583"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-e4ef56880463474e9bb25f669162b932") {
-      outputDiv = document.getElementById("altair-viz-e4ef56880463474e9bb25f669162b932");
+    if (outputDiv.id !== "altair-viz-1b4e5e0a4e374232b179dc898aeb7583") {
+      outputDiv = document.getElementById("altair-viz-1b4e5e0a4e374232b179dc898aeb7583");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -927,23 +927,23 @@ <h3>Jitter plots<a class="headerlink" href="#Jitter-plots" title="Link to this h
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-effdcaf944264c30bf34603c337a658c.vega-embed {
+  #altair-viz-b3b3a32d87c84f449bb2fa67eef5fc4d.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-effdcaf944264c30bf34603c337a658c.vega-embed details,
-  #altair-viz-effdcaf944264c30bf34603c337a658c.vega-embed details summary {
+  #altair-viz-b3b3a32d87c84f449bb2fa67eef5fc4d.vega-embed details,
+  #altair-viz-b3b3a32d87c84f449bb2fa67eef5fc4d.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-effdcaf944264c30bf34603c337a658c"></div>
+<div id="altair-viz-b3b3a32d87c84f449bb2fa67eef5fc4d"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-effdcaf944264c30bf34603c337a658c") {
-      outputDiv = document.getElementById("altair-viz-effdcaf944264c30bf34603c337a658c");
+    if (outputDiv.id !== "altair-viz-b3b3a32d87c84f449bb2fa67eef5fc4d") {
+      outputDiv = document.getElementById("altair-viz-b3b3a32d87c84f449bb2fa67eef5fc4d");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -1017,23 +1017,23 @@ <h3>Box plots<a class="headerlink" href="#Box-plots" title="Link to this heading
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-ea5f22c732dd4156b034124e4cc7337e.vega-embed {
+  #altair-viz-7a97e7baf4004835ba6b3b01098d0952.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-ea5f22c732dd4156b034124e4cc7337e.vega-embed details,
-  #altair-viz-ea5f22c732dd4156b034124e4cc7337e.vega-embed details summary {
+  #altair-viz-7a97e7baf4004835ba6b3b01098d0952.vega-embed details,
+  #altair-viz-7a97e7baf4004835ba6b3b01098d0952.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-ea5f22c732dd4156b034124e4cc7337e"></div>
+<div id="altair-viz-7a97e7baf4004835ba6b3b01098d0952"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-ea5f22c732dd4156b034124e4cc7337e") {
-      outputDiv = document.getElementById("altair-viz-ea5f22c732dd4156b034124e4cc7337e");
+    if (outputDiv.id !== "altair-viz-7a97e7baf4004835ba6b3b01098d0952") {
+      outputDiv = document.getElementById("altair-viz-7a97e7baf4004835ba6b3b01098d0952");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -1108,23 +1108,23 @@ <h3>Bar charts<a class="headerlink" href="#Bar-charts" title="Link to this headi
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-67be0e1cc49340db85eea7905b501c10.vega-embed {
+  #altair-viz-dfc82c7e505b425fb1becb700583c7fc.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-67be0e1cc49340db85eea7905b501c10.vega-embed details,
-  #altair-viz-67be0e1cc49340db85eea7905b501c10.vega-embed details summary {
+  #altair-viz-dfc82c7e505b425fb1becb700583c7fc.vega-embed details,
+  #altair-viz-dfc82c7e505b425fb1becb700583c7fc.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-67be0e1cc49340db85eea7905b501c10"></div>
+<div id="altair-viz-dfc82c7e505b425fb1becb700583c7fc"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-67be0e1cc49340db85eea7905b501c10") {
-      outputDiv = document.getElementById("altair-viz-67be0e1cc49340db85eea7905b501c10");
+    if (outputDiv.id !== "altair-viz-dfc82c7e505b425fb1becb700583c7fc") {
+      outputDiv = document.getElementById("altair-viz-dfc82c7e505b425fb1becb700583c7fc");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -1369,23 +1369,23 @@ <h3>Bar charts<a class="headerlink" href="#Bar-charts" title="Link to this headi
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-34dd1d851e214d83aa46916f8a9e7860.vega-embed {
+  #altair-viz-5be88da9b5d845778fbd8f6dc90d9b12.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-34dd1d851e214d83aa46916f8a9e7860.vega-embed details,
-  #altair-viz-34dd1d851e214d83aa46916f8a9e7860.vega-embed details summary {
+  #altair-viz-5be88da9b5d845778fbd8f6dc90d9b12.vega-embed details,
+  #altair-viz-5be88da9b5d845778fbd8f6dc90d9b12.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-34dd1d851e214d83aa46916f8a9e7860"></div>
+<div id="altair-viz-5be88da9b5d845778fbd8f6dc90d9b12"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-34dd1d851e214d83aa46916f8a9e7860") {
-      outputDiv = document.getElementById("altair-viz-34dd1d851e214d83aa46916f8a9e7860");
+    if (outputDiv.id !== "altair-viz-5be88da9b5d845778fbd8f6dc90d9b12") {
+      outputDiv = document.getElementById("altair-viz-5be88da9b5d845778fbd8f6dc90d9b12");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -1431,7 +1431,7 @@ <h3>Bar charts<a class="headerlink" href="#Bar-charts" title="Link to this headi
         .catch(showError)
         .then(() => displayChart(vegaEmbed));
     }
-  })({"config": {"view": {"continuousWidth": 300, "continuousHeight": 300}, "scale": {"bandPaddingInner": 0.5}}, "layer": [{"mark": {"type": "bar"}, "encoding": {"x": {"field": "mean", "title": "impact force (mN)", "type": "quantitative"}, "y": {"field": "ID", "title": "Frog ID", "type": "nominal"}}}, {"mark": {"type": "rule"}, "encoding": {"x": {"field": "error_low", "type": "quantitative"}, "x2": {"field": "error_high"}, "y": {"field": "ID", "title": "Frog ID", "type": "nominal"}}}], "data": {"name": "data-636296659c9e65db204e2c7457518e41"}, "$schema": "https://vega.github.io/schema/vega-lite/v5.17.0.json", "datasets": {"data-636296659c9e65db204e2c7457518e41": [{"ID": "I", "mean": 1530.2, "sem": 140.91878213316613, "error_low": 1253.9991870189945, "error_high": 1806.4008129810056}, {"ID": "II", "mean": 707.35, "sem": 94.93746626069183, "error_low": 521.272566129044, "error_high": 893.4274338709561}, {"ID": "III", "mean": 550.1, "sem": 27.78847735454771, "error_low": 495.6345843850865, "error_high": 604.5654156149135}, {"ID": "IV", "mean": 419.1, "sem": 52.51726032057411, "error_low": 316.1661697716748, "error_high": 522.0338302283253}]}}, {"mode": "vega-lite"});
+  })({"config": {"view": {"continuousWidth": 300, "continuousHeight": 300}, "scale": {"bandPaddingInner": 0.5}}, "layer": [{"mark": {"type": "bar"}, "encoding": {"x": {"field": "mean", "title": "impact force (mN)", "type": "quantitative"}, "y": {"field": "ID", "title": "Frog ID", "type": "nominal"}}}, {"mark": {"type": "rule"}, "encoding": {"x": {"field": "error_low", "type": "quantitative"}, "x2": {"field": "error_high"}, "y": {"field": "ID", "title": "Frog ID", "type": "nominal"}}}], "data": {"name": "data-5df560a9e2ae837878b18363f4cfd683"}, "$schema": "https://vega.github.io/schema/vega-lite/v5.17.0.json", "datasets": {"data-5df560a9e2ae837878b18363f4cfd683": [{"ID": "I", "mean": 1530.2, "sem": 140.91878213316613, "error_low": 1253.9991870189945, "error_high": 1806.4008129810056}, {"ID": "II", "mean": 707.35, "sem": 94.93746626069183, "error_low": 521.272566129044, "error_high": 893.4274338709561}, {"ID": "III", "mean": 550.1, "sem": 27.788477354547705, "error_low": 495.6345843850865, "error_high": 604.5654156149135}, {"ID": "IV", "mean": 419.1, "sem": 52.51726032057411, "error_low": 316.1661697716748, "error_high": 522.0338302283253}]}}, {"mode": "vega-lite"});
 </script></div>
 </div>
 <p>Did you see that? To overlay plots, we just use the <code class="docutils literal notranslate"><span class="pre">+</span></code> operator in Vega-Altair! <strong>So</strong> convenient!</p>
@@ -1471,23 +1471,23 @@ <h2>ECDFs<a class="headerlink" href="#ECDFs" title="Link to this heading"></a
 </div>
 <div class="output_area rendered_html docutils container">
 <style>
-  #altair-viz-f19692c372004ff8bf149352bbc69d95.vega-embed {
+  #altair-viz-b7d4c4dc45a447d2a34805fa9b018afa.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-f19692c372004ff8bf149352bbc69d95.vega-embed details,
-  #altair-viz-f19692c372004ff8bf149352bbc69d95.vega-embed details summary {
+  #altair-viz-b7d4c4dc45a447d2a34805fa9b018afa.vega-embed details,
+  #altair-viz-b7d4c4dc45a447d2a34805fa9b018afa.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-f19692c372004ff8bf149352bbc69d95"></div>
+<div id="altair-viz-b7d4c4dc45a447d2a34805fa9b018afa"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-f19692c372004ff8bf149352bbc69d95") {
-      outputDiv = document.getElementById("altair-viz-f19692c372004ff8bf149352bbc69d95");
+    if (outputDiv.id !== "altair-viz-b7d4c4dc45a447d2a34805fa9b018afa") {
+      outputDiv = document.getElementById("altair-viz-b7d4c4dc45a447d2a34805fa9b018afa");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
@@ -1582,7 +1582,7 @@ <h2>Computing environment<a class="headerlink" href="#Computing-environment" tit
       </span></p>
   </div>
 
-   <jinja2.runtime.BlockReference object at 0x136cc4a10> 
+   <jinja2.runtime.BlockReference object at 0x14dc71b10> 
 
 <p>© 2015–2024 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License CC-BY 4.0</a>. All code contained herein is licensed under an <a rel="license" href="https://opensource.org/licenses/MIT">MIT license</a>.</p>
 
diff --git a/2024/lessons/l42_more_altair.ipynb b/2024/lessons/l42_more_altair.ipynb
index 74bc06f0..a48279a3 100644
--- a/2024/lessons/l42_more_altair.ipynb
+++ b/2024/lessons/l42_more_altair.ipynb
@@ -250,23 +250,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-8b04dc640af0408cadc08e2c6d1a877f.vega-embed {\n",
+       "  #altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-8b04dc640af0408cadc08e2c6d1a877f.vega-embed details,\n",
-       "  #altair-viz-8b04dc640af0408cadc08e2c6d1a877f.vega-embed details summary {\n",
+       "  #altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce.vega-embed details,\n",
+       "  #altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-8b04dc640af0408cadc08e2c6d1a877f\"></div>\n",
+       "<div id=\"altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-8b04dc640af0408cadc08e2c6d1a877f\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-8b04dc640af0408cadc08e2c6d1a877f\");\n",
+       "    if (outputDiv.id !== \"altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-f84b6ef90e3e44d5b38a38fff4dfe1ce\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -353,23 +353,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-54a72b022d944e58a2c2c76403ab1c4b.vega-embed {\n",
+       "  #altair-viz-f7a4f9fa9a2c4cfd99cb3f4617aec0a1.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-54a72b022d944e58a2c2c76403ab1c4b.vega-embed details,\n",
-       "  #altair-viz-54a72b022d944e58a2c2c76403ab1c4b.vega-embed details summary {\n",
+       "  #altair-viz-f7a4f9fa9a2c4cfd99cb3f4617aec0a1.vega-embed details,\n",
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        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-54a72b022d944e58a2c2c76403ab1c4b\"></div>\n",
+       "<div id=\"altair-viz-f7a4f9fa9a2c4cfd99cb3f4617aec0a1\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-54a72b022d944e58a2c2c76403ab1c4b\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-54a72b022d944e58a2c2c76403ab1c4b\");\n",
+       "    if (outputDiv.id !== \"altair-viz-f7a4f9fa9a2c4cfd99cb3f4617aec0a1\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-f7a4f9fa9a2c4cfd99cb3f4617aec0a1\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -475,23 +475,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7.vega-embed {\n",
+       "  #altair-viz-16da14d0f2714a55b6ce13374c5202a7.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7.vega-embed details,\n",
-       "  #altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7.vega-embed details summary {\n",
+       "  #altair-viz-16da14d0f2714a55b6ce13374c5202a7.vega-embed details,\n",
+       "  #altair-viz-16da14d0f2714a55b6ce13374c5202a7.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7\"></div>\n",
+       "<div id=\"altair-viz-16da14d0f2714a55b6ce13374c5202a7\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-ff94e5e1cbea4babaee66bb5ec72a7e7\");\n",
+       "    if (outputDiv.id !== \"altair-viz-16da14d0f2714a55b6ce13374c5202a7\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-16da14d0f2714a55b6ce13374c5202a7\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -600,23 +600,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-93b3985ecf0f4d5884290635215779d1.vega-embed {\n",
+       "  #altair-viz-812739c44b6f470c940969bb7d335f1e.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-93b3985ecf0f4d5884290635215779d1.vega-embed details,\n",
-       "  #altair-viz-93b3985ecf0f4d5884290635215779d1.vega-embed details summary {\n",
+       "  #altair-viz-812739c44b6f470c940969bb7d335f1e.vega-embed details,\n",
+       "  #altair-viz-812739c44b6f470c940969bb7d335f1e.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-93b3985ecf0f4d5884290635215779d1\"></div>\n",
+       "<div id=\"altair-viz-812739c44b6f470c940969bb7d335f1e\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-93b3985ecf0f4d5884290635215779d1\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-93b3985ecf0f4d5884290635215779d1\");\n",
+       "    if (outputDiv.id !== \"altair-viz-812739c44b6f470c940969bb7d335f1e\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-812739c44b6f470c940969bb7d335f1e\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -709,23 +709,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-6fea39f19c27432a9d55df8776d60d1d.vega-embed {\n",
+       "  #altair-viz-729846533f704a1085510338b1df0667.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-6fea39f19c27432a9d55df8776d60d1d.vega-embed details,\n",
-       "  #altair-viz-6fea39f19c27432a9d55df8776d60d1d.vega-embed details summary {\n",
+       "  #altair-viz-729846533f704a1085510338b1df0667.vega-embed details,\n",
+       "  #altair-viz-729846533f704a1085510338b1df0667.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-6fea39f19c27432a9d55df8776d60d1d\"></div>\n",
+       "<div id=\"altair-viz-729846533f704a1085510338b1df0667\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-6fea39f19c27432a9d55df8776d60d1d\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-6fea39f19c27432a9d55df8776d60d1d\");\n",
+       "    if (outputDiv.id !== \"altair-viz-729846533f704a1085510338b1df0667\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-729846533f704a1085510338b1df0667\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -828,23 +828,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-e4ef56880463474e9bb25f669162b932.vega-embed {\n",
+       "  #altair-viz-1b4e5e0a4e374232b179dc898aeb7583.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-e4ef56880463474e9bb25f669162b932.vega-embed details,\n",
-       "  #altair-viz-e4ef56880463474e9bb25f669162b932.vega-embed details summary {\n",
+       "  #altair-viz-1b4e5e0a4e374232b179dc898aeb7583.vega-embed details,\n",
+       "  #altair-viz-1b4e5e0a4e374232b179dc898aeb7583.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-e4ef56880463474e9bb25f669162b932\"></div>\n",
+       "<div id=\"altair-viz-1b4e5e0a4e374232b179dc898aeb7583\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-e4ef56880463474e9bb25f669162b932\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-e4ef56880463474e9bb25f669162b932\");\n",
+       "    if (outputDiv.id !== \"altair-viz-1b4e5e0a4e374232b179dc898aeb7583\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-1b4e5e0a4e374232b179dc898aeb7583\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -933,23 +933,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-effdcaf944264c30bf34603c337a658c.vega-embed {\n",
+       "  #altair-viz-b3b3a32d87c84f449bb2fa67eef5fc4d.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-effdcaf944264c30bf34603c337a658c.vega-embed details,\n",
-       "  #altair-viz-effdcaf944264c30bf34603c337a658c.vega-embed details summary {\n",
+       "  #altair-viz-b3b3a32d87c84f449bb2fa67eef5fc4d.vega-embed details,\n",
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        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-effdcaf944264c30bf34603c337a658c\"></div>\n",
+       "<div id=\"altair-viz-b3b3a32d87c84f449bb2fa67eef5fc4d\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-effdcaf944264c30bf34603c337a658c\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-effdcaf944264c30bf34603c337a658c\");\n",
+       "    if (outputDiv.id !== \"altair-viz-b3b3a32d87c84f449bb2fa67eef5fc4d\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-b3b3a32d87c84f449bb2fa67eef5fc4d\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
@@ -1040,23 +1040,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-ea5f22c732dd4156b034124e4cc7337e.vega-embed {\n",
+       "  #altair-viz-7a97e7baf4004835ba6b3b01098d0952.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
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-       "  #altair-viz-ea5f22c732dd4156b034124e4cc7337e.vega-embed details summary {\n",
+       "  #altair-viz-7a97e7baf4004835ba6b3b01098d0952.vega-embed details,\n",
+       "  #altair-viz-7a97e7baf4004835ba6b3b01098d0952.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-ea5f22c732dd4156b034124e4cc7337e\"></div>\n",
+       "<div id=\"altair-viz-7a97e7baf4004835ba6b3b01098d0952\"></div>\n",
        "<script type=\"text/javascript\">\n",
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diff --git a/2024/lessons/l43_overplotting.html b/2024/lessons/l43_overplotting.html
index 685a0ed1..890eeaf3 100644
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diff --git a/2024/lessons/l44_intro_to_image_processing.html b/2024/lessons/l44_intro_to_image_processing.html
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diff --git a/2024/lessons/l45_segmentation.html b/2024/lessons/l45_segmentation.html
index 5799a892..9c6c896c 100644
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diff --git a/2024/lessons/l46_plotting_with_matplotlib.html b/2024/lessons/l46_plotting_with_matplotlib.html
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diff --git a/2024/resources.html b/2024/resources.html
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diff --git a/2024/schedule.html b/2024/schedule.html
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"Choice-of-generator"]], "Choosing elements from an array": [[66, "Choosing-elements-from-an-array"]], "Chunk reading for non-corrupted data": [[72, "Chunk-reading-for-non-corrupted-data"]], "Chunk reading with corrupted data": [[72, "Chunk-reading-with-corrupted-data"]], "Classes": [[77, "Classes"]], "Cloning Repositories": [[53, "Cloning-Repositories"]], "Cloning your fork to your local machine": [[41, "Cloning-your-fork-to-your-local-machine"]], "Code cells": [[42, "Code-cells"]], "Code refactoring and TDD": [[80, "Code-refactoring-and-TDD"]], "Code style in plot specifications": [[59, "Code-style-in-plot-specifications"], [82, "Code-style-in-plot-specifications"]], "Coding style in general and Future You": [[55, "Coding-style-in-general-and-Future-You"]], "Coloring with other dimensions": [[59, "Coloring-with-other-dimensions"]], "Combinations of metacharacters in RE": [[75, "Combinations-of-metacharacters-in-RE"]], "Committing and pushing changes": [[53, "Committing-and-pushing-changes"]], "Compiled languages": [[64, "Compiled-languages"]], "Compiling REs": [[75, "Compiling-REs"]], "Computing GC content": [[49, "Computing-GC-content"]], "Computing environment": [[41, "Computing-environment"], [42, "Computing-environment"], [43, "Computing-environment"], [44, "Computing-environment"], [45, "Computing-environment"], [46, "Computing-environment"], [47, "Computing-environment"], [48, "Computing-environment"], [49, "Computing-environment"], [50, "Computing-environment"], [51, "Computing-environment"], [52, "Computing-environment"], [53, "Computing-environment"], [54, "Computing-environment"], [55, "Computing-environment"], [56, "Computing-environment"], [57, "Computing-environment"], [58, "Computing-environment"], [59, "Computing-environment"], [60, "Computing-environment"], [61, "Computing-environment"], [62, "Computing-environment"], [63, "Computing-environment"], [64, "Computing-environment"], [66, "Computing-environment"], [67, "Computing-environment"], [68, "Computing-environment"], [69, "Computing-environment"], [70, "Computing-environment"], [71, "Computing-environment"], [72, "Computing-environment"], [73, "Computing-environment"], [75, "Computing-environment"], [76, "Computing-environment"], [77, "Computing-environment"], [78, "Computing-environment"], [79, "Computing-environment"], [80, "Computing-environment"], [81, "Computing-environment"], [82, "Computing-environment"], [83, "Computing-environment"], [84, "Computing-environment"], [87, "Computing-environment"]], "Concatenating arrays": [[62, "Concatenating-arrays"]], "Conclusions": [[68, "Conclusions"], [69, "Conclusions"], [70, "Conclusions"], [74, "Conclusions"], [76, "Conclusions"], [81, "Conclusions"]], "Conditionals": [[45, "Conditionals"]], "Configuring Git": [[53, "Configuring-Git"]], "Connecting to Arduino and opening DAQ": [[73, "Connecting-to-Arduino-and-opening-DAQ"]], "Continuously receiving data": [[71, "Continuously-receiving-data"]], "Controlling Arduino with widgets": [[71, "Controlling-Arduino-with-widgets"]], "Converting RNA to DNA": [[49, "Converting-RNA-to-DNA"]], "Copying files and directories: cp": [[43, "Copying-files-and-directories:-cp"]], "Creating your own repository": [[53, "Creating-your-own-repository"]], "Custominzing strip plots": [[61, "Custominzing-strip-plots"]], "Customization with iqplot": [[61, "Customization-with-iqplot"]], "Customizing ECDFs": [[61, "Customizing-ECDFs"]], "Customizing box plots": [[61, "Customizing-box-plots"]], "Customizing histograms": [[61, "Customizing-histograms"]], "Daily schedule": [[89, "daily-schedule"]], "Dask": [[64, "Dask"]], "Data science": [[64, "Data-science"]], "Datashader": [[84, "Datashader"]], "Datashading paths random walk": [[84, "Datashading-paths-random-walk"]], "DeepCell": [[64, "DeepCell"]], "Default branch name": [[53, "Default-branch-name"]], "Determining the type": [[44, "Determining-the-type"]], "Dictionaries are mutable": [[50, "Dictionaries-are-mutable"]], "Dictionary comprehensions": [[56, "Dictionary-comprehensions"]], "Dictionary methods": [[50, "Dictionary-methods"]], "Dictionary syntax": [[50, "Dictionary-syntax"]], "Display of graphics": [[42, "Display-of-graphics"]], "Doing nothing": [[71, "Doing-nothing"]], "Domain-specific languages": [[64, "Domain-specific-languages"]], "Don\u2019t make bar graphs": [[60, "Don't-make-bar-graphs"], [83, "Don't-make-bar-graphs"]], "Downloading and installing Anaconda/Miniconda": [[41, "Downloading-and-installing-Anaconda/Miniconda"]], "Drawing random numbers out of other distributions": [[66, "Drawing-random-numbers-out-of-other-distributions"]], "Dynamic languages": [[64, "Dynamic-languages"]], "Dynamic programming solution": [[78, "Dynamic-programming-solution"]], "Dynamic spreading": [[84, "Dynamic-spreading"]], "ECDFs": [[60, "ECDFs"], [81, "ECDFs"], [83, "ECDFs"]], "Environment variables": [[74, "Environment-variables"]], "Equivalence of standard deviation bootstrap samples of the mean and standard error of the mean": [[67, "Equivalence-of-standard-deviation-bootstrap-samples-of-the-mean-and-standard-error-of-the-mean"]], "Example 1: Exploring the Normal pdf": [[70, "Example-1:-Exploring-the-Normal-pdf"]], "Example 2: Using REs to parse sequence FASTA files": [[75, "Example-2:-Using-REs-to-parse-sequence-FASTA-files"]], "Example and watchout: modifying a list": [[47, "Example-and-watchout:-modifying-a-list"]], "Example: Biological sequences": [[77, "Example:-Biological-sequences"]], "Example: I want to compute the mean and median of a list of numbers": [[51, "Example:-I-want-to-compute-the-mean-and-median-of-a-list-of-numbers"]], "Example: using REs with sequence data": [[75, "Example:-using-REs-with-sequence-data"]], "Examples of dynamic programs": [[78, "Examples-of-dynamic-programs"]], "Exercise 1": [[6, "exercise-1"]], "Exercise 1.1: Command line exercises": [[0, "Exercise-1.1:-Command-line-exercises"]], "Exercise 1.2: Making an rc file": [[1, "Exercise-1.2:-Making-an-rc-file"]], "Exercise 1.3: Time and type conversions": [[2, "Exercise-1.3:-Time-and-type-conversions"]], "Exercise 1.4: Using string methods": [[3, "Exercise-1.4:-Using-string-methods"]], "Exercise 1.5: Longest common substring": [[4, "Exercise-1.5:-Longest-common-substring"]], "Exercise 1.6: RNA secondary structure validator": [[5, "Exercise-1.6:-RNA-secondary-structure-validator"]], "Exercise 2": [[11, "exercise-2"]], "Exercise 2.1: Parsing a FASTA file": [[7, "Exercise-2.1:-Parsing-a-FASTA-file"]], "Exercise 2.2: Restriction enzyme cut sites": [[8, "Exercise-2.2:-Restriction-enzyme-cut-sites"]], "Exercise 2.3: Pathogenicity islands": [[9, "Exercise-2.3:-Pathogenicity-islands"]], "Exercise 2.4: ORF detection": [[10, "Exercise-2.4:-ORF-detection"]], "Exercise 3": [[17, "exercise-3"]], "Exercise 3.1: Mastering .loc for Pandas data frames": [[12, "Exercise-3.1:-Mastering-.loc-for-Pandas-data-frames"]], "Exercise 3.2: Split-Apply-Combine of the frog data set": [[13, "Exercise-3.2:-Split-Apply-Combine-of-the-frog-data-set"]], "Exercise 3.3: Adding data to a data frame": [[14, "Exercise-3.3:-Adding-data-to-a-data-frame"]], "Exercise 3.4: Axes with logarithmic scale and error bars": [[15, "Exercise-3.4:-Axes-with-logarithmic-scale-and-error-bars"]], "Exercise 3.5: Automating scatter plots": [[16, "Exercise-3.5:-Automating-scatter-plots"]], "Exercise 4": [[23, "exercise-4"]], "Exercise 4.1: Long-term trends in hybridization of Darwin finches": [[18, "Exercise-4.1:-Long-term-trends-in-hybridization-of-Darwin-finches"]], "Exercise 4.2: Computing things!": [[19, "Exercise-4.2:-Computing-things!"]], "Exercise 4.3: Working with two-dimensional arrays": [[20, "Exercise-4.3:-Working-with-two-dimensional-arrays"]], "Exercise 4.4: Understanding and building ECDFs": [[21, "Exercise-4.4:-Understanding-and-building-ECDFs"]], "Exercise 4.5: Data collapse": [[22, "Exercise-4.5:-Data-collapse"]], "Exercise 5": [[36, "exercise-5"]], "Exercise 5.10: Growth curves from a movie": [[25, "Exercise-5.10:-Growth-curves-from-a-movie"]], "Exercise 5.11: Filter, extract, rinse, repeat": [[26, "Exercise-5.11:-Filter,-extract,-rinse,-repeat"]], "Exercise 5.12: Building and Etch-A-Sketch": [[27, "Exercise-5.12:-Building-and-Etch-A-Sketch"]], "Exercise 5.1: Writing functions for bootstrap replicates": [[24, "Exercise-5.1:-Writing-functions-for-bootstrap-replicates"]], "Exercise 5.2: Hacker stats with bee sperm data": [[28, "Exercise-5.2:-Hacker-stats-with-bee-sperm-data"]], "Exercise 5.3: Bootstrapping \u201ctheory\u201d with hacker stats": [[29, "Exercise-5.3:-Bootstrapping-%22theory%22-with-hacker-stats"]], "Exercise 5.4: Monte Carlo simulation of transcriptional pausing": [[30, "Exercise-5.4:-Monte-Carlo-simulation-of-transcriptional-pausing"]], "Exercise 5.5: Heat maps with Bokeh": [[31, "Exercise-5.5:-Heat-maps-with-Bokeh"]], "Exercise 5.6: Building dashboards": [[32, "Exercise-5.6:-Building-dashboards"]], "Exercise 5.7: Making a stand-alone app for exploring parameters": [[33, "Exercise-5.7:-Making-a-stand-alone-app-for-exploring-parameters"]], "Exercise 5.8: Detecting dropped frames": [[34, "Exercise-5.8:-Detecting-dropped-frames"]], "Exercise 5.9: Writing your own segmentation function": [[35, "Exercise-5.9:-Writing-your-own-segmentation-function"]], "Exercises": [[37, null]], "Exploring a data set": [[69, "Exploring-a-data-set"], [70, "Exploring-a-data-set"]], "Exploring file content": [[43, "Exploring-file-content"]], "Extracting Numpy arrays from Pandas data frames": [[62, "Extracting-Numpy-arrays-from-Pandas-data-frames"]], "Extracting interpixel distances": [[76, "Extracting-interpixel-distances"]], "Extracting the Bokeh plotting object": [[81, "Extracting-the-Bokeh-plotting-object"]], "Extracting the time points": [[76, "Extracting-the-time-points"]], "Fancy indexing": [[62, "Fancy-indexing"]], "File objects": [[52, "File-objects"]], "Find and replace with regexes": [[75, "Find-and-replace-with-regexes"]], "Finding all subsequences": [[78, "Finding-all-subsequences"]], "Finding files and with glob": [[52, "Finding-files-and-with-glob"]], "Finding the complementary base": [[49, "Finding-the-complementary-base"]], "Finding the index of a start codon": [[49, "Finding-the-index-of-a-start-codon"]], "Finding the last index of a substring": [[49, "Finding-the-last-index-of-a-substring"]], "Finding the port": [[71, "Finding-the-port"]], "First, what exactly is Datashader?": [[84, "First,-what-exactly-is-Datashader?"]], "Flags in REs": [[75, "Flags-in-REs"]], "Forking the bootcamp repository": [[41, "Forking-the-bootcamp-repository"]], "Fortran": [[64, "Fortran"]], "Functions need not have arguments": [[48, "Functions-need-not-have-arguments"]], "Functions need not return anything": [[48, "Functions-need-not-return-anything"]], "Further stylizing": [[81, "Further-stylizing"]], "Generating random sequences": [[66, "Generating-random-sequences"]], "Getting a list of the directory contents: the os and glob modules": [[76, "Getting-a-list-of-the-directory-contents:-the-os-and-glob-modules"]], "Getting started with the command line": [[43, "Getting-started-with-the-command-line"]], "Getting the LCS": [[78, "Getting-the-LCS"]], "Git repository": [[37, "git-repository"]], "Greetings!": [[42, "Greetings!"]], "Griffin Chure\u2019s templates for reproducible publishing": [[88, "griffin-chure-s-templates-for-reproducible-publishing"]], "Grouping by value dimensions": [[81, "Grouping-by-value-dimensions"]], "Handling errors in your code": [[54, "Handling-errors-in-your-code"]], "Handling odd behaviors": [[80, "Handling-odd-behaviors"]], "Hello, world. and the print() function": [[42, "Hello,-world.-and-the-print()-function"]], "High-level and low-level plotting packages": [[59, "High-level-and-low-level-plotting-packages"]], "Histograms": [[60, "Histograms"], [81, "Histograms"], [83, "Histograms"]], "HoloViews": [[64, "HoloViews"]], "Identity operators": [[45, "Identity-operators"]], "Image processing": [[64, "Image-processing"]], "Implementation of naive strategy": [[78, "Implementation-of-naive-strategy"]], "Importing HoloViews and choosing a renderer": [[81, "Importing-HoloViews-and-choosing-a-renderer"]], "Importing modules in your .py files and notebooks": [[51, "Importing-modules-in-your-.py-files-and-notebooks"]], "Imports and updates": [[51, "Imports-and-updates"]], "Improving the seq_features module using TDD: Practice": [[80, "Improving-the-seq_features-module-using-TDD:-Practice"]], "Indexing 2D NumPy arrays": [[62, "Indexing-2D-NumPy-arrays"]], "Indexing and slicing of strings": [[49, "Indexing-and-slicing-of-strings"]], "Indexing data frames": [[57, "Indexing-data-frames"]], "Indexing dictionaries": [[50, "Indexing-dictionaries"]], "Installation of the Arduino IDE": [[41, "Installation-of-the-Arduino-IDE"]], "Installing bootcamp_utils": [[53, "Installing-bootcamp_utils"]], "Installing node.js": [[41, "Installing-node.js"]], "Installing your package": [[51, "Installing-your-package"], [53, "Installing-your-package"]], "Interactive plotting with Vega-Altair": [[82, "Interactive-plotting-with-Vega-Altair"]], "Interpreted and compiled languages": [[62, "Interpreted-and-compiled-languages"]], "Introducing pytest": [[79, "Introducing-pytest"]], "Introducing the for loop": [[47, "Introducing-the-for-loop"]], "Introduction to HoloViews": [[81, "Introduction-to-HoloViews"]], "Introduction to Programming in the Biological Sciences Bootcamp": [[37, "introduction-to-programming-in-the-biological-sciences-bootcamp"]], "Issuing warnings": [[54, "Issuing-warnings"]], "Iterators": [[47, "Iterators"]], "Java": [[64, "Java"]], "JavaScript": [[64, "JavaScript"]], "JavaScript and Bokeh": [[70, "JavaScript-and-Bokeh"]], "Jitter plots": [[83, "Jitter-plots"]], "Julia": [[64, "Julia"]], "Jupyter": [[42, "Jupyter"]], "Just scratching the surface": [[75, "Just-scratching-the-surface"]], "Keras": [[64, "Keras"]], "Key points of PEP 8": [[55, "Key-points-of-PEP-8"]], "Keyword arguments": [[48, "Keyword-arguments"]], "Kinds of errors": [[54, "Kinds-of-errors"]], "Language wars are counterproductive": [[64, "Language-wars-are-counterproductive"]], "Launching JupyterLab and a terminal": [[41, "Launching-JupyterLab-and-a-terminal"]], "Launching JupyterLab from the command line": [[41, "Launching-JupyterLab-from-the-command-line"]], "Launching a Jupyter notebook": [[42, "Launching-a-Jupyter-notebook"]], "Lesson 0: Configuring your computer": [[41, "Lesson-0:-Configuring-your-computer"]], "Lesson 10: Packages and modules": [[51, "Lesson-10:-Packages-and-modules"]], "Lesson 11: File I/O": [[52, "Lesson-11:-File-I/O"]], "Lesson 12: Version control with Git": [[53, "Lesson-12:-Version-control-with-Git"]], "Lesson 13: Errors and exception handling": [[54, "Lesson-13:-Errors-and-exception-handling"]], "Lesson 14: Style": [[55, "Lesson-14:-Style"]], "Lesson 15: Comprehensions": [[56, "Lesson-15:-Comprehensions"]], "Lesson 16: Introduction to Pandas": [[57, "Lesson-16:-Introduction-to-Pandas"]], "Lesson 17: Tidy data and split-apply-combine": [[58, "Lesson-17:-Tidy-data-and-split-apply-combine"]], "Lesson 18: Making plots": [[59, "Lesson-18:-Making-plots"]], "Lesson 19: High level plotting with iqplot": [[60, "Lesson-19:-High-level-plotting-with-iqplot"]], "Lesson 1: Welcome and Introduction to JupyterLab": [[42, "Lesson-1:-Welcome-and-Introduction-to-JupyterLab"]], "Lesson 20: Styling Bokeh plots": [[61, "Lesson-20:-Styling-Bokeh-plots"]], "Lesson 21: Introduction to Numpy and Scipy": [[62, "Lesson-21:-Introduction-to-Numpy-and-Scipy"]], "Lesson 22: Plotting time series and generated data": [[63, "Lesson-22:-Plotting-time-series-and-generated-data"]], "Lesson 23: Survey of other packages and languages": [[64, "Lesson-23:-Survey-of-other-packages-and-languages"]], "Lesson 24: Bootcamp recap": [[65, "Lesson-24:-Bootcamp-recap"]], "Lesson 25: Random number generation": [[66, "Lesson-25:-Random-number-generation"]], "Lesson 26: Hacker stats I": [[67, "Lesson-26:-Hacker-stats-I"]], "Lesson 27: Hacker stats II": [[68, "Lesson-27:-Hacker-stats-II"]], "Lesson 28: Dashboards": [[69, "Lesson-28:-Dashboards"]], "Lesson 29: JavaScript for stand-alone Bokeh apps": [[70, "Lesson-29:-JavaScript-for-stand-alone-Bokeh-apps"]], "Lesson 2: Basic command line skills": [[43, "Lesson-2:-Basic-command-line-skills"]], "Lesson 30: Control of external devices": [[71, "Lesson-30:-Control-of-external-devices"]], "Lesson 31. Apps for controlling external devices": [[72, "Lesson-31.-Apps-for-controlling-external-devices"]], "Lesson 32: Control panels": [[73, "Lesson-32:-Control-panels"]], "Lesson 33: More about the command line": [[74, "Lesson-33:-More-about-the-command-line"]], "Lesson 34: Regular expressions": [[75, "Lesson-34:-Regular-expressions"]], "Lesson 35: Introduction to scripting": [[76, "Lesson-35:-Introduction-to-scripting"]], "Lesson 36: Introduction to object-oriented programming": [[77, "Lesson-36:-Introduction-to-object-oriented-programming"]], "Lesson 37: Algorithmic complexity": [[78, "Lesson-37:-Algorithmic-complexity"]], "Lesson 38: Testing and test-driven development": [[79, "Lesson-38:-Testing-and-test-driven-development"]], "Lesson 39: Examples of TDD": [[80, "Lesson-39:-Examples-of-TDD"]], "Lesson 3: Variables, operators, and types": [[44, "Lesson-3:-Variables,-operators,-and-types"]], "Lesson 40: High level plotting with HoloViews": [[81, "Lesson-40:-High-level-plotting-with-HoloViews"]], "Lesson 41: High level plotting with Vega-Altair": [[82, "Lesson-41:-High-level-plotting-with-Vega-Altair"]], "Lesson 42: More plotting with Vega-Altair": [[83, "Lesson-42:-More-plotting-with-Vega-Altair"]], "Lesson 43: Dealing with overplotting": [[84, "Lesson-43:-Dealing-with-overplotting"]], "Lesson 44: Introduction to image processing with scikit-image": [[85, "Lesson-44:-Introduction-to-image-processing-with-scikit-image"]], "Lesson 45: Basic image quantification": [[86, "Lesson-45:-Basic-image-quantification"]], "Lesson 46: Plotting with Matplotlib and Seaborn": [[87, "Lesson-46:-Plotting-with-Matplotlib-and-Seaborn"]], "Lesson 4: More operators and conditionals": [[45, "Lesson-4:-More-operators-and-conditionals"]], "Lesson 5: Lists and tuples": [[46, "Lesson-5:-Lists-and-tuples"]], "Lesson 6: Iteration": [[47, "Lesson-6:-Iteration"]], "Lesson 7: Introduction to functions": [[48, "Lesson-7:-Introduction-to-functions"]], "Lesson 8: String methods": [[49, "Lesson-8:-String-methods"]], "Lesson 9: Dictionaries": [[50, "Lesson-9:-Dictionaries"]], "Lessons": [[37, null]], "Let\u2019s fail the test": [[78, "Let's-fail-the-test"]], "Let\u2019s plot": [[84, "Let's-plot"]], "Line breaks": [[55, "Line-breaks"]], "List comprehensions": [[56, "List-comprehensions"]], "List creation": [[46, "List-creation"]], "List indexing": [[46, "List-indexing"]], "List methods": [[50, "List-methods"]], "List operators": [[46, "List-operators"]], "List slicing": [[46, "List-slicing"]], "Lists": [[46, "Lists"]], "Logical operators": [[45, "Logical-operators"]], "Looping over a GroupBy object": [[58, "Looping-over-a-GroupBy-object"]], "Machine learning": [[64, "Machine-learning"]], "Main ideas behind HoloViews": [[81, "Main-ideas-behind-HoloViews"]], "Mapping objects and dictionaries": [[50, "Mapping-objects-and-dictionaries"]], "Mathematica": [[64, "Mathematica"]], "Mathematical operations with arrays": [[62, "Mathematical-operations-with-arrays"]], "Matlab": [[64, "Matlab"]], "Matplotlib": [[64, "Matplotlib"]], "Membership operators": [[46, "Membership-operators"]], "Membership operators with dictionaries": [[50, "Membership-operators-with-dictionaries"]], "Membership operators with tuples": [[46, "Membership-operators-with-tuples"]], "Merging dictionaries": [[50, "Merging-dictionaries"]], "Metacharacters in Python REs": [[75, "Metacharacters-in-Python-REs"]], "More control without shortcuts": [[83, "More-control-without-shortcuts"]], "More escaping": [[75, "More-escaping"]], "Mutability": [[46, "Mutability"]], "Naive strategy": [[78, "Naive-strategy"]], "NumPy and SciPy are highly optimized": [[62, "NumPy-and-SciPy-are-highly-optimized"]], "NumPy and SciPy use compiled code!": [[62, "NumPy-and-SciPy-use-compiled-code!"]], "NumPy arrays are mutable": [[62, "NumPy-arrays-are-mutable"]], "NumPy has useful mathematical functions": [[62, "NumPy-has-useful-mathematical-functions"]], "Numba": [[64, "Numba"]], "Online instruction": [[88, "online-instruction"]], "Onwards!": [[42, "Onwards!"]], "Opening a connection": [[71, "Opening-a-connection"]], "Operations on floats": [[44, "Operations-on-floats"]], "Operations on integers": [[44, "Operations-on-integers"]], "Operations on integers and floats": [[44, "Operations-on-integers-and-floats"]], "Operations on strings": [[44, "Operations-on-strings"]], "Operators": [[44, "Operators"]], "Operators we left out": [[45, "Operators-we-left-out"]], "Option 1: Installation of Anaconda": [[41, "Option-1:-Installation-of-Anaconda"]], "Option 2: Installation of Miniconda": [[41, "Option-2:-Installation-of-Miniconda"]], "Order of operations": [[44, "Order-of-operations"]], "Other kinds of plots": [[81, "Other-kinds-of-plots"]], "Other languages": [[64, "Other-languages"]], "Other relational operators": [[45, "Other-relational-operators"]], "Other useful Python packages": [[64, "Other-useful-Python-packages"]], "Other ways to make NumPy arrays": [[62, "Other-ways-to-make-NumPy-arrays"]], "Our example scripting problem": [[76, "Our-example-scripting-problem"]], "Our first plot with Vega-Altair": [[82, "Our-first-plot-with-Vega-Altair"]], "Outputting a new CSV file": [[57, "Outputting-a-new-CSV-file"]], "PATH": [[74, "PATH"]], "PEP 8": [[55, "PEP-8"]], "Package architecture": [[51, "Package-architecture"]], "Package management": [[51, "Package-management"]], "Pairs bootstrap": [[68, "Pairs-bootstrap"]], "Panel": [[64, "Panel"]], "Parsing the metadata": [[76, "Parsing-the-metadata"]], "Paul Romer and Jupyter and open source software": [[56, "Paul-Romer-and-Jupyter-and-open-source-software"]], "Pause and think about testing": [[48, "Pause-and-think-about-testing"]], "People": [[37, "people"]], "Pieces of a Bokeh dashboard": [[69, "Pieces-of-a-Bokeh-dashboard"]], "Pipes (|) and redirects (>)": [[74, "Pipes-(|)-and-redirects-(>)"]], "Pitfall: Aliasing": [[46, "Pitfall:-Aliasing"]], "Plot all your data": [[60, 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file": [[1, "Exercise-1.2:-Making-an-rc-file"]], "Exercise 1.3: Time and type conversions": [[2, "Exercise-1.3:-Time-and-type-conversions"]], "Exercise 1.4: Using string methods": [[3, "Exercise-1.4:-Using-string-methods"]], "Exercise 1.5: Longest common substring": [[4, "Exercise-1.5:-Longest-common-substring"]], "Exercise 1.6: RNA secondary structure validator": [[5, "Exercise-1.6:-RNA-secondary-structure-validator"]], "Exercise 2": [[11, "exercise-2"]], "Exercise 2.1: Parsing a FASTA file": [[7, "Exercise-2.1:-Parsing-a-FASTA-file"]], "Exercise 2.2: Restriction enzyme cut sites": [[8, "Exercise-2.2:-Restriction-enzyme-cut-sites"]], "Exercise 2.3: Pathogenicity islands": [[9, "Exercise-2.3:-Pathogenicity-islands"]], "Exercise 2.4: ORF detection": [[10, "Exercise-2.4:-ORF-detection"]], "Exercise 3": [[17, "exercise-3"]], "Exercise 3.1: Mastering .loc for Pandas data frames": [[12, "Exercise-3.1:-Mastering-.loc-for-Pandas-data-frames"]], "Exercise 3.2: Split-Apply-Combine of the frog data set": [[13, "Exercise-3.2:-Split-Apply-Combine-of-the-frog-data-set"]], "Exercise 3.3: Adding data to a data frame": [[14, "Exercise-3.3:-Adding-data-to-a-data-frame"]], "Exercise 3.4: Axes with logarithmic scale and error bars": [[15, "Exercise-3.4:-Axes-with-logarithmic-scale-and-error-bars"]], "Exercise 3.5: Automating scatter plots": [[16, "Exercise-3.5:-Automating-scatter-plots"]], "Exercise 4": [[23, "exercise-4"]], "Exercise 4.1: Long-term trends in hybridization of Darwin finches": [[18, "Exercise-4.1:-Long-term-trends-in-hybridization-of-Darwin-finches"]], "Exercise 4.2: Computing things!": [[19, "Exercise-4.2:-Computing-things!"]], "Exercise 4.3: Working with two-dimensional arrays": [[20, "Exercise-4.3:-Working-with-two-dimensional-arrays"]], "Exercise 4.4: Understanding and building ECDFs": [[21, "Exercise-4.4:-Understanding-and-building-ECDFs"]], "Exercise 4.5: Data collapse": [[22, "Exercise-4.5:-Data-collapse"]], "Exercise 5": [[36, "exercise-5"]], "Exercise 5.10: Growth curves from a movie": [[25, "Exercise-5.10:-Growth-curves-from-a-movie"]], "Exercise 5.11: Filter, extract, rinse, repeat": [[26, "Exercise-5.11:-Filter,-extract,-rinse,-repeat"]], "Exercise 5.12: Building and Etch-A-Sketch": [[27, "Exercise-5.12:-Building-and-Etch-A-Sketch"]], "Exercise 5.1: Writing functions for bootstrap replicates": [[24, "Exercise-5.1:-Writing-functions-for-bootstrap-replicates"]], "Exercise 5.2: Hacker stats with bee sperm data": [[28, "Exercise-5.2:-Hacker-stats-with-bee-sperm-data"]], "Exercise 5.3: Bootstrapping \u201ctheory\u201d with hacker stats": [[29, "Exercise-5.3:-Bootstrapping-%22theory%22-with-hacker-stats"]], "Exercise 5.4: Monte Carlo simulation of transcriptional pausing": [[30, "Exercise-5.4:-Monte-Carlo-simulation-of-transcriptional-pausing"]], "Exercise 5.5: Heat maps with Bokeh": [[31, "Exercise-5.5:-Heat-maps-with-Bokeh"]], "Exercise 5.6: Building dashboards": [[32, "Exercise-5.6:-Building-dashboards"]], "Exercise 5.7: Making a stand-alone app for exploring parameters": [[33, "Exercise-5.7:-Making-a-stand-alone-app-for-exploring-parameters"]], "Exercise 5.8: Detecting dropped frames": [[34, "Exercise-5.8:-Detecting-dropped-frames"]], "Exercise 5.9: Writing your own segmentation function": [[35, "Exercise-5.9:-Writing-your-own-segmentation-function"]], "Exercises": [[37, null]], "Exploring a data set": [[69, "Exploring-a-data-set"], [70, "Exploring-a-data-set"]], "Exploring file content": [[43, "Exploring-file-content"]], "Extracting Numpy arrays from Pandas data frames": [[62, "Extracting-Numpy-arrays-from-Pandas-data-frames"]], "Extracting interpixel distances": [[76, "Extracting-interpixel-distances"]], "Extracting the Bokeh plotting object": [[81, "Extracting-the-Bokeh-plotting-object"]], "Extracting the time points": [[76, "Extracting-the-time-points"]], "Fancy indexing": [[62, "Fancy-indexing"]], "File objects": [[52, "File-objects"]], "Find and replace with regexes": [[75, "Find-and-replace-with-regexes"]], "Finding all subsequences": [[78, "Finding-all-subsequences"]], "Finding files and with glob": [[52, "Finding-files-and-with-glob"]], "Finding the complementary base": [[49, "Finding-the-complementary-base"]], "Finding the index of a start codon": [[49, "Finding-the-index-of-a-start-codon"]], "Finding the last index of a substring": [[49, "Finding-the-last-index-of-a-substring"]], "Finding the port": [[71, "Finding-the-port"]], "First, what exactly is Datashader?": [[84, "First,-what-exactly-is-Datashader?"]], "Flags in REs": [[75, "Flags-in-REs"]], "Forking the bootcamp repository": [[41, "Forking-the-bootcamp-repository"]], "Fortran": [[64, "Fortran"]], "Functions need not have arguments": [[48, "Functions-need-not-have-arguments"]], "Functions need not return anything": [[48, "Functions-need-not-return-anything"]], "Further stylizing": [[81, "Further-stylizing"]], "Generating random sequences": [[66, "Generating-random-sequences"]], "Getting a list of the directory contents: the os and glob modules": [[76, "Getting-a-list-of-the-directory-contents:-the-os-and-glob-modules"]], "Getting started with the command line": [[43, "Getting-started-with-the-command-line"]], "Getting the LCS": [[78, "Getting-the-LCS"]], "Git repository": [[37, "git-repository"]], "Greetings!": [[42, "Greetings!"]], "Griffin Chure\u2019s templates for reproducible publishing": [[88, "griffin-chure-s-templates-for-reproducible-publishing"]], "Grouping by value dimensions": [[81, "Grouping-by-value-dimensions"]], "Handling errors in your code": [[54, "Handling-errors-in-your-code"]], "Handling odd behaviors": [[80, "Handling-odd-behaviors"]], "Hello, world. and the print() function": [[42, "Hello,-world.-and-the-print()-function"]], "High-level and low-level plotting packages": [[59, "High-level-and-low-level-plotting-packages"]], "Histograms": [[60, "Histograms"], [81, "Histograms"], [83, "Histograms"]], "HoloViews": [[64, "HoloViews"]], "Identity operators": [[45, "Identity-operators"]], "Image processing": [[64, "Image-processing"]], "Implementation of naive strategy": [[78, "Implementation-of-naive-strategy"]], "Importing HoloViews and choosing a renderer": [[81, "Importing-HoloViews-and-choosing-a-renderer"]], "Importing modules in your .py files and notebooks": [[51, "Importing-modules-in-your-.py-files-and-notebooks"]], "Imports and updates": [[51, "Imports-and-updates"]], "Improving the seq_features module using TDD: Practice": [[80, "Improving-the-seq_features-module-using-TDD:-Practice"]], "Indexing 2D NumPy arrays": [[62, "Indexing-2D-NumPy-arrays"]], "Indexing and slicing of strings": [[49, "Indexing-and-slicing-of-strings"]], "Indexing data frames": [[57, "Indexing-data-frames"]], "Indexing dictionaries": [[50, "Indexing-dictionaries"]], "Installation of the Arduino IDE": [[41, "Installation-of-the-Arduino-IDE"]], "Installing bootcamp_utils": [[53, "Installing-bootcamp_utils"]], "Installing node.js": [[41, "Installing-node.js"]], "Installing your package": [[51, "Installing-your-package"], [53, "Installing-your-package"]], "Interactive plotting with Vega-Altair": [[82, "Interactive-plotting-with-Vega-Altair"]], "Interpreted and compiled languages": [[62, "Interpreted-and-compiled-languages"]], "Introducing pytest": [[79, "Introducing-pytest"]], "Introducing the for loop": [[47, "Introducing-the-for-loop"]], "Introduction to HoloViews": [[81, "Introduction-to-HoloViews"]], "Introduction to Programming in the Biological Sciences Bootcamp": [[37, "introduction-to-programming-in-the-biological-sciences-bootcamp"]], "Issuing warnings": [[54, "Issuing-warnings"]], "Iterators": [[47, "Iterators"]], "Java": [[64, "Java"]], "JavaScript": [[64, "JavaScript"]], "JavaScript and Bokeh": [[70, "JavaScript-and-Bokeh"]], "Jitter plots": [[83, "Jitter-plots"]], "Julia": [[64, "Julia"]], "Jupyter": [[42, "Jupyter"]], "Just scratching the surface": [[75, "Just-scratching-the-surface"]], "Keras": [[64, "Keras"]], "Key points of PEP 8": [[55, "Key-points-of-PEP-8"]], "Keyword arguments": [[48, "Keyword-arguments"]], "Kinds of errors": [[54, "Kinds-of-errors"]], "Language wars are counterproductive": [[64, "Language-wars-are-counterproductive"]], "Launching JupyterLab and a terminal": [[41, "Launching-JupyterLab-and-a-terminal"]], "Launching JupyterLab from the command line": [[41, "Launching-JupyterLab-from-the-command-line"]], "Launching a Jupyter notebook": [[42, "Launching-a-Jupyter-notebook"]], "Lesson 0: Configuring your computer": [[41, "Lesson-0:-Configuring-your-computer"]], "Lesson 10: Packages and modules": [[51, "Lesson-10:-Packages-and-modules"]], "Lesson 11: File I/O": [[52, "Lesson-11:-File-I/O"]], "Lesson 12: Version control with Git": [[53, "Lesson-12:-Version-control-with-Git"]], "Lesson 13: Errors and exception handling": [[54, "Lesson-13:-Errors-and-exception-handling"]], "Lesson 14: Style": [[55, "Lesson-14:-Style"]], "Lesson 15: Comprehensions": [[56, "Lesson-15:-Comprehensions"]], "Lesson 16: Introduction to Pandas": [[57, "Lesson-16:-Introduction-to-Pandas"]], "Lesson 17: Tidy data and split-apply-combine": [[58, "Lesson-17:-Tidy-data-and-split-apply-combine"]], "Lesson 18: Making plots": [[59, "Lesson-18:-Making-plots"]], "Lesson 19: High level plotting with iqplot": [[60, "Lesson-19:-High-level-plotting-with-iqplot"]], "Lesson 1: Welcome and Introduction to JupyterLab": [[42, "Lesson-1:-Welcome-and-Introduction-to-JupyterLab"]], "Lesson 20: Styling Bokeh plots": [[61, "Lesson-20:-Styling-Bokeh-plots"]], "Lesson 21: Introduction to Numpy and Scipy": [[62, "Lesson-21:-Introduction-to-Numpy-and-Scipy"]], "Lesson 22: Plotting time series and generated data": [[63, "Lesson-22:-Plotting-time-series-and-generated-data"]], "Lesson 23: Survey of other packages and languages": [[64, "Lesson-23:-Survey-of-other-packages-and-languages"]], "Lesson 24: Bootcamp recap": [[65, "Lesson-24:-Bootcamp-recap"]], "Lesson 25: Random number generation": [[66, "Lesson-25:-Random-number-generation"]], "Lesson 26: Hacker stats I": [[67, "Lesson-26:-Hacker-stats-I"]], "Lesson 27: Hacker stats II": [[68, "Lesson-27:-Hacker-stats-II"]], "Lesson 28: Dashboards": [[69, "Lesson-28:-Dashboards"]], "Lesson 29: JavaScript for stand-alone Bokeh apps": [[70, "Lesson-29:-JavaScript-for-stand-alone-Bokeh-apps"]], "Lesson 2: Basic command line skills": [[43, "Lesson-2:-Basic-command-line-skills"]], "Lesson 30: Control of external devices": [[71, "Lesson-30:-Control-of-external-devices"]], "Lesson 31. Apps for controlling external devices": [[72, "Lesson-31.-Apps-for-controlling-external-devices"]], "Lesson 32: Control panels": [[73, "Lesson-32:-Control-panels"]], "Lesson 33: More about the command line": [[74, "Lesson-33:-More-about-the-command-line"]], "Lesson 34: Regular expressions": [[75, "Lesson-34:-Regular-expressions"]], "Lesson 35: Introduction to scripting": [[76, "Lesson-35:-Introduction-to-scripting"]], "Lesson 36: Introduction to object-oriented programming": [[77, "Lesson-36:-Introduction-to-object-oriented-programming"]], "Lesson 37: Algorithmic complexity": [[78, "Lesson-37:-Algorithmic-complexity"]], "Lesson 38: Testing and test-driven development": [[79, "Lesson-38:-Testing-and-test-driven-development"]], "Lesson 39: Examples of TDD": [[80, "Lesson-39:-Examples-of-TDD"]], "Lesson 3: Variables, operators, and types": [[44, "Lesson-3:-Variables,-operators,-and-types"]], "Lesson 40: High level plotting with HoloViews": [[81, "Lesson-40:-High-level-plotting-with-HoloViews"]], "Lesson 41: High level plotting with Vega-Altair": [[82, "Lesson-41:-High-level-plotting-with-Vega-Altair"]], "Lesson 42: More plotting with Vega-Altair": [[83, "Lesson-42:-More-plotting-with-Vega-Altair"]], "Lesson 43: Dealing with overplotting": [[84, "Lesson-43:-Dealing-with-overplotting"]], "Lesson 44: Introduction to image processing with scikit-image": [[85, "Lesson-44:-Introduction-to-image-processing-with-scikit-image"]], "Lesson 45: Basic image quantification": [[86, "Lesson-45:-Basic-image-quantification"]], "Lesson 46: Plotting with Matplotlib and Seaborn": [[87, "Lesson-46:-Plotting-with-Matplotlib-and-Seaborn"]], "Lesson 4: More operators and conditionals": [[45, "Lesson-4:-More-operators-and-conditionals"]], "Lesson 5: Lists and tuples": [[46, "Lesson-5:-Lists-and-tuples"]], "Lesson 6: Iteration": [[47, "Lesson-6:-Iteration"]], "Lesson 7: Introduction to functions": [[48, "Lesson-7:-Introduction-to-functions"]], "Lesson 8: String methods": [[49, "Lesson-8:-String-methods"]], "Lesson 9: Dictionaries": [[50, "Lesson-9:-Dictionaries"]], "Lessons": [[37, null]], "Let\u2019s fail the test": [[78, "Let's-fail-the-test"]], "Let\u2019s plot": [[84, "Let's-plot"]], "Line breaks": [[55, "Line-breaks"]], "List comprehensions": [[56, "List-comprehensions"]], "List creation": [[46, "List-creation"]], "List indexing": [[46, "List-indexing"]], "List methods": [[50, "List-methods"]], "List operators": [[46, "List-operators"]], "List slicing": [[46, "List-slicing"]], "Lists": [[46, "Lists"]], "Logical operators": [[45, "Logical-operators"]], "Looping over a GroupBy object": [[58, "Looping-over-a-GroupBy-object"]], "Machine learning": [[64, "Machine-learning"]], "Main ideas behind HoloViews": [[81, "Main-ideas-behind-HoloViews"]], "Mapping objects and dictionaries": [[50, "Mapping-objects-and-dictionaries"]], "Mathematica": [[64, "Mathematica"]], "Mathematical operations with arrays": [[62, "Mathematical-operations-with-arrays"]], "Matlab": [[64, "Matlab"]], "Matplotlib": [[64, "Matplotlib"]], "Membership operators": [[46, "Membership-operators"]], "Membership operators with dictionaries": [[50, "Membership-operators-with-dictionaries"]], "Membership operators with tuples": [[46, "Membership-operators-with-tuples"]], "Merging dictionaries": [[50, "Merging-dictionaries"]], "Metacharacters in Python REs": [[75, "Metacharacters-in-Python-REs"]], "More control without shortcuts": [[83, "More-control-without-shortcuts"]], "More escaping": [[75, "More-escaping"]], "Mutability": [[46, "Mutability"]], "Naive strategy": [[78, "Naive-strategy"]], "NumPy and SciPy are highly optimized": [[62, "NumPy-and-SciPy-are-highly-optimized"]], "NumPy and SciPy use compiled code!": [[62, "NumPy-and-SciPy-use-compiled-code!"]], "NumPy arrays are mutable": [[62, "NumPy-arrays-are-mutable"]], "NumPy has useful mathematical functions": [[62, "NumPy-has-useful-mathematical-functions"]], "Numba": [[64, "Numba"]], "Online instruction": [[88, "online-instruction"]], "Onwards!": [[42, "Onwards!"]], "Opening a connection": [[71, "Opening-a-connection"]], "Operations on floats": [[44, "Operations-on-floats"]], "Operations on integers": [[44, "Operations-on-integers"]], "Operations on integers and floats": [[44, "Operations-on-integers-and-floats"]], "Operations on strings": [[44, "Operations-on-strings"]], "Operators": [[44, "Operators"]], "Operators we left out": [[45, "Operators-we-left-out"]], "Option 1: Installation of Anaconda": [[41, "Option-1:-Installation-of-Anaconda"]], "Option 2: Installation of Miniconda": [[41, "Option-2:-Installation-of-Miniconda"]], "Order of operations": [[44, "Order-of-operations"]], "Other kinds of plots": [[81, "Other-kinds-of-plots"]], "Other languages": [[64, "Other-languages"]], "Other relational operators": [[45, "Other-relational-operators"]], "Other useful Python packages": [[64, "Other-useful-Python-packages"]], "Other ways to make NumPy arrays": [[62, "Other-ways-to-make-NumPy-arrays"]], "Our example scripting problem": [[76, "Our-example-scripting-problem"]], "Our first plot with Vega-Altair": [[82, "Our-first-plot-with-Vega-Altair"]], "Outputting a new CSV file": [[57, "Outputting-a-new-CSV-file"]], "PATH": [[74, "PATH"]], "PEP 8": [[55, "PEP-8"]], "Package architecture": [[51, "Package-architecture"]], "Package management": [[51, "Package-management"]], "Pairs bootstrap": [[68, "Pairs-bootstrap"]], "Panel": [[64, "Panel"]], "Parsing the metadata": [[76, "Parsing-the-metadata"]], "Paul Romer and Jupyter and open source software": [[56, "Paul-Romer-and-Jupyter-and-open-source-software"]], "Pause and think about testing": [[48, "Pause-and-think-about-testing"]], "People": [[37, "people"]], "Pieces of a Bokeh dashboard": [[69, "Pieces-of-a-Bokeh-dashboard"]], "Pipes (|) and redirects (>)": [[74, "Pipes-(|)-and-redirects-(>)"]], "Pitfall: Aliasing": [[46, "Pitfall:-Aliasing"]], "Plot all your data": [[60, "Plot-all-your-data"]], "Plotly": [[64, "Plotly"]], "Plots with categorical variables": [[60, "Plots-with-categorical-variables"], [83, "Plots-with-categorical-variables"]], "Plotting": [[64, "Plotting"]], "Plotting and reporting confidence intervals": [[67, "Plotting-and-reporting-confidence-intervals"]], "Plotting generated data": [[63, "Plotting-generated-data"]], "Plotting the density of points": [[84, "Plotting-the-density-of-points"]], "Plotting time series data": [[63, "Plotting-time-series-data"]], "Plotting with Seaborn": [[87, "Plotting-with-Seaborn"]], "Primer design": [[77, "Primer-design"]], "Programmatically saving Vega-Altair charts": [[82, "Programmatically-saving-Vega-Altair-charts"]], "Protein sequences": [[77, "Protein-sequences"]], "Pulling in changes": [[53, "Pulling-in-changes"]], "Pulling in changes from an upstream repository": [[53, "Pulling-in-changes-from-an-upstream-repository"]], "PyMC": [[64, "PyMC"]], "PyTorch": [[64, "PyTorch"]], "Python": [[64, "Python"]], "Quibbler": [[64, "Quibbler"]], "Quick keys": [[42, "Quick-keys"]], "R": [[64, "R"]], "REs in Python": [[75, "REs-in-Python"]], "RNA secondary structure validator": [[5, "RNA-secondary-structure-validator"]], "Reading data in chunks": [[72, "Reading-data-in-chunks"]], "Reading data out of the file with file object methods": [[52, "Reading-data-out-of-the-file-with-file-object-methods"]], "Reading in data": [[57, "Reading-in-data"]], "Reading line-by-line": [[52, "Reading-line-by-line"]], "Receiving data asynchronously": [[72, "Receiving-data-asynchronously"]], "Relational operators": [[45, "Relational-operators"]], "Relationships among your local machine, your fork, and upstream": [[53, "Relationships-among-your-local-machine,-your-fork,-and-upstream"]], "Removing files and directories with rm": [[43, "Removing-files-and-directories-with-rm"]], "Renaming files using the shutil module": [[76, "Renaming-files-using-the-shutil-module"]], "Renaming the files": [[76, "Renaming-the-files"]], "Resources": [[37, null]], "Retrieving data from Arduino": [[71, "Retrieving-data-from-Arduino"]], "Revisiting previous examples using string methods": [[49, "Revisiting-previous-examples-using-string-methods"]], "Ruby": [[64, "Ruby"]], "Running without an existing event loop": [[72, "Running-without-an-existing-event-loop"]], "Runtime errors": [[54, "Runtime-errors"]], "Saving Bokeh plots": [[59, "Saving-Bokeh-plots"]], "Saving a HoloViews plot": [[81, "Saving-a-HoloViews-plot"]], "Schedule": [[37, null]], "Schedule overview": [[89, "schedule-overview"]], "SciPy has even more useful functions (in modules)": [[62, "SciPy-has-even-more-useful-functions-(in-modules)"]], "Scientific Python distribution": [[88, "scientific-python-distribution"]], "Seaborn": [[64, "Seaborn"]], "Searching, Matching, Splitting, and more": [[75, "Searching,-Matching,-Splitting,-and-more"]], "Second, how does Datashader work?": [[84, "Second,-how-does-Datashader-work?"]], "Seeding random number generators": [[66, "Seeding-random-number-generators"]], "Selections from discrete distributions": [[66, "Selections-from-discrete-distributions"]], "Semantic errors": [[54, "Semantic-errors"]], "Separating tests in functional units": [[79, "Separating-tests-in-functional-units"]], "Serving an app": [[69, "Serving-an-app"]], "Set up a GitHub account": [[41, "Set-up-a-GitHub-account"]], "Set up your token": [[41, "Set-up-your-token"]], "Setting up Git": [[41, "Setting-up-Git"]], "Setting up a conda environment": [[41, "Setting-up-a-conda-environment"]], "Setup": [[72, "Setup"]], "Shareable, reusable packages": [[51, "Shareable,-reusable-packages"]], "Shuffling an array": [[66, "Shuffling-an-array"]], "Shutting down JupyterLab": [[41, "Shutting-down-JupyterLab"]], "Sketching a dashboard": [[73, "Sketching-a-dashboard"]], "Slices of NumPy arrays are views, not copies": [[62, "Slices-of-NumPy-arrays-are-views,-not-copies"]], "Slicing NumPy arrays": [[62, "Slicing-NumPy-arrays"]], "Slicing Numpy arrays": [[62, "Slicing-Numpy-arrays"]], "Slicing of tuples": [[46, "Slicing-of-tuples"]], "Smooth function": [[81, "Smooth-function"]], "Some examples of PEP 8-ified code": [[55, "Some-examples-of-PEP-8-ified-code"]], "Specification of dimensions": [[81, "Specification-of-dimensions"]], "Specification of the element type": [[81, "Specification-of-the-element-type"]], "Spike plots": [[60, "Spike-plots"]], "Split-apply-combine": [[58, "Split-apply-combine"]], "Stan/PyStan/CmdStanPy": [[64, "Stan/PyStan/CmdStanPy"]], "Statistics": [[64, "Statistics"]], "Strip plots": [[60, "Strip-plots"], [81, "Strip-plots"], [83, "Strip-plots"]], "Strip-box plots": [[60, "Strip-box-plots"]], "Styling Bokeh plots after they are built": [[61, "Styling-Bokeh-plots-after-they-are-built"]], "Styling Bokeh plots as they are built": [[61, "Styling-Bokeh-plots-as-they-are-built"]], "Styling a data frame": [[57, "Styling-a-data-frame"]], "Stylizing plots": [[81, "Stylizing-plots"]], "Subclasses 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