oura-correlations.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploring Oura ring data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#%pip install pandas mlplot\n",
    " \n",
    "import json\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as ticker\n",
    "from matplotlib.pyplot import figure\n",
    "from matplotlib.dates import DateFormatter\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## First, let's grab data from local json file, using only sleep data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def grab_oura_json(file_path):    \n",
    "    with open(file_path) as activities_file:\n",
    "        data = json.load(activities_file)\n",
    "        return data\n",
    "\n",
    "file_path = 'data/oura_activities.json'\n",
    "data = grab_oura_json(file_path)\n",
    "# activity, notes, readiness, restful_periods, sleep    \n",
    "full_df = pd.DataFrame.from_dict(data['sleep'])\n",
    "#full_df.info()\n",
    "#full_df.head()\n",
    "#full_df.describe()\n",
    "#full_df['bedtime_end']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now, let's build an index of bedtime_end date components"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 471 entries, 2020-08-19 to 2022-01-07\n",
      "Data columns (total 40 columns):\n",
      " #   Column                       Non-Null Count  Dtype              \n",
      "---  ------                       --------------  -----              \n",
      " 0   awake                        471 non-null    int64              \n",
      " 1   bedtime_end                  471 non-null    object             \n",
      " 2   bedtime_end_delta            471 non-null    int64              \n",
      " 3   bedtime_start                471 non-null    object             \n",
      " 4   bedtime_start_delta          471 non-null    int64              \n",
      " 5   breath_average               471 non-null    float64            \n",
      " 6   deep                         471 non-null    int64              \n",
      " 7   duration                     471 non-null    int64              \n",
      " 8   efficiency                   471 non-null    int64              \n",
      " 9   hr_5min                      471 non-null    object             \n",
      " 10  hr_average                   471 non-null    float64            \n",
      " 11  hr_lowest                    471 non-null    float64            \n",
      " 12  hypnogram_5min               471 non-null    object             \n",
      " 13  is_longest                   471 non-null    int64              \n",
      " 14  light                        471 non-null    int64              \n",
      " 15  midpoint_at_delta            471 non-null    int64              \n",
      " 16  midpoint_time                471 non-null    int64              \n",
      " 17  onset_latency                471 non-null    int64              \n",
      " 18  period_id                    471 non-null    int64              \n",
      " 19  rem                          471 non-null    int64              \n",
      " 20  restless                     471 non-null    int64              \n",
      " 21  rmssd                        471 non-null    int64              \n",
      " 22  rmssd_5min                   471 non-null    object             \n",
      " 23  score                        471 non-null    int64              \n",
      " 24  score_alignment              471 non-null    int64              \n",
      " 25  score_deep                   471 non-null    int64              \n",
      " 26  score_disturbances           471 non-null    int64              \n",
      " 27  score_efficiency             471 non-null    int64              \n",
      " 28  score_latency                471 non-null    int64              \n",
      " 29  score_rem                    471 non-null    int64              \n",
      " 30  score_total                  471 non-null    int64              \n",
      " 31  summary_date                 471 non-null    object             \n",
      " 32  temperature_delta            471 non-null    float64            \n",
      " 33  temperature_deviation        471 non-null    float64            \n",
      " 34  timezone                     471 non-null    int64              \n",
      " 35  total                        471 non-null    int64              \n",
      " 36  temperature_trend_deviation  467 non-null    float64            \n",
      " 37  datetime                     471 non-null    datetime64[ns, UTC]\n",
      " 38  weekday                      471 non-null    int64              \n",
      " 39  weekend                      471 non-null    int64              \n",
      "dtypes: datetime64[ns, UTC](1), float64(6), int64(27), object(6)\n",
      "memory usage: 150.9+ KB\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "datetime_naive\n",
       "2020-08-19    0\n",
       "2020-08-20    0\n",
       "2020-08-21    0\n",
       "2020-08-22    1\n",
       "2020-08-23    1\n",
       "             ..\n",
       "2022-01-03    0\n",
       "2022-01-04    0\n",
       "2022-01-05    0\n",
       "2022-01-06    0\n",
       "2022-01-07    0\n",
       "Name: weekend, Length: 471, dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "# Reindex by bedtime end date\n",
    "full_df['datetime'] = pd.to_datetime(full_df['bedtime_end'], utc=True).dt.normalize()\n",
    "full_df['weekday'] = full_df['datetime'].dt.dayofweek\n",
    "full_df['weekend'] = (full_df['datetime'].dt.dayofweek > 4).astype(int)\n",
    "full_df['datetime_naive'] = full_df['datetime'].apply(lambda t: t.replace(tzinfo=None))\n",
    "full_df = full_df.set_index('datetime_naive')\n",
    "full_df.info()\n",
    "full_df['weekend']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# So, how about some correlation plots?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_10240/1608345348.py:11: FutureWarning: this method is deprecated in favour of `Styler.format(precision=..)`\n",
      "  corr.style.background_gradient(cmap='coolwarm').set_precision(2)\n"
     ]
    },
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       "#T_aabf5_row1_col12, #T_aabf5_row8_col27, #T_aabf5_row12_col4, #T_aabf5_row15_col22, #T_aabf5_row18_col7, #T_aabf5_row21_col29 {\n",
       "  background-color: #6c8ff1;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row1_col13, #T_aabf5_row1_col27, #T_aabf5_row4_col27, #T_aabf5_row6_col16, #T_aabf5_row6_col25, #T_aabf5_row6_col26, #T_aabf5_row7_col18, #T_aabf5_row8_col11, #T_aabf5_row16_col5, #T_aabf5_row16_col24, #T_aabf5_row20_col14, #T_aabf5_row20_col28 {\n",
       "  background-color: #9abbff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row1_col14, #T_aabf5_row2_col1, #T_aabf5_row7_col1, #T_aabf5_row7_col3, #T_aabf5_row14_col31 {\n",
       "  background-color: #f7b89c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row1_col15, #T_aabf5_row8_col15, #T_aabf5_row9_col3, #T_aabf5_row10_col9, #T_aabf5_row13_col20, #T_aabf5_row17_col10, #T_aabf5_row18_col20, #T_aabf5_row19_col30, #T_aabf5_row20_col8, #T_aabf5_row22_col8, #T_aabf5_row31_col15, #T_aabf5_row32_col8 {\n",
       "  background-color: #bad0f8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row1_col16, #T_aabf5_row3_col11, #T_aabf5_row3_col23, #T_aabf5_row12_col5, #T_aabf5_row15_col3, #T_aabf5_row19_col15, #T_aabf5_row22_col25, #T_aabf5_row22_col26, #T_aabf5_row32_col14 {\n",
       "  background-color: #94b6ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row1_col17, #T_aabf5_row5_col7, #T_aabf5_row19_col21, #T_aabf5_row33_col8, #T_aabf5_row33_col23 {\n",
       "  background-color: #e0dbd8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row1_col18, #T_aabf5_row2_col32, #T_aabf5_row8_col16, #T_aabf5_row15_col19 {\n",
       "  background-color: #455cce;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row1_col19, #T_aabf5_row11_col13, #T_aabf5_row12_col29, #T_aabf5_row19_col25, #T_aabf5_row19_col26, #T_aabf5_row25_col4, #T_aabf5_row26_col4 {\n",
       "  background-color: #7da0f9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row1_col21, #T_aabf5_row13_col3, #T_aabf5_row20_col24, #T_aabf5_row21_col1, #T_aabf5_row23_col3, #T_aabf5_row32_col5, #T_aabf5_row33_col4 {\n",
       "  background-color: #a2c1ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row1_col22, #T_aabf5_row2_col29, #T_aabf5_row3_col16, #T_aabf5_row3_col22, #T_aabf5_row12_col19, #T_aabf5_row14_col32, #T_aabf5_row19_col9 {\n",
       "  background-color: #5f7fe8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row1_col23, #T_aabf5_row3_col29, #T_aabf5_row17_col20, #T_aabf5_row20_col17, #T_aabf5_row24_col25, #T_aabf5_row24_col26, #T_aabf5_row25_col21, #T_aabf5_row25_col30, #T_aabf5_row26_col21, #T_aabf5_row26_col30, #T_aabf5_row28_col6, #T_aabf5_row29_col9 {\n",
       "  background-color: #dcdddd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row1_col24, #T_aabf5_row5_col31 {\n",
       "  background-color: #f7b093;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row1_col25, #T_aabf5_row1_col26, #T_aabf5_row2_col3, #T_aabf5_row4_col11, #T_aabf5_row5_col15, #T_aabf5_row9_col21, #T_aabf5_row14_col20, #T_aabf5_row32_col20 {\n",
       "  background-color: #c5d6f2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row1_col28, #T_aabf5_row24_col33 {\n",
       "  background-color: #f59d7e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row1_col29, #T_aabf5_row8_col18, #T_aabf5_row10_col21, #T_aabf5_row13_col11, #T_aabf5_row14_col3, #T_aabf5_row16_col1, #T_aabf5_row19_col2, #T_aabf5_row25_col15, #T_aabf5_row26_col15, #T_aabf5_row29_col2, #T_aabf5_row33_col29 {\n",
       "  background-color: #b1cbfc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row1_col30, #T_aabf5_row30_col10 {\n",
       "  background-color: #f59c7d;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row1_col31, #T_aabf5_row5_col1 {\n",
       "  background-color: #e9785d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row1_col33, #T_aabf5_row33_col1 {\n",
       "  background-color: #c83836;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row2_col0, #T_aabf5_row9_col8, #T_aabf5_row9_col18, #T_aabf5_row11_col16, #T_aabf5_row15_col9, #T_aabf5_row16_col6, #T_aabf5_row21_col10, #T_aabf5_row30_col20 {\n",
       "  background-color: #b9d0f9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row2_col4, #T_aabf5_row6_col13, #T_aabf5_row11_col22, #T_aabf5_row22_col4, #T_aabf5_row25_col19, #T_aabf5_row26_col19, #T_aabf5_row29_col13 {\n",
       "  background-color: #6e90f2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row2_col8, #T_aabf5_row3_col25, #T_aabf5_row3_col26, #T_aabf5_row17_col18, #T_aabf5_row25_col11, #T_aabf5_row26_col11, #T_aabf5_row31_col8, #T_aabf5_row32_col18, #T_aabf5_row33_col17 {\n",
       "  background-color: #e5d8d1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row2_col10 {\n",
       "  background-color: #da5a49;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row2_col12, #T_aabf5_row9_col12, #T_aabf5_row12_col23, #T_aabf5_row23_col13, #T_aabf5_row32_col12 {\n",
       "  background-color: #779af7;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row2_col13, #T_aabf5_row8_col12, #T_aabf5_row9_col27, #T_aabf5_row10_col16, #T_aabf5_row11_col19, #T_aabf5_row11_col27, #T_aabf5_row13_col4, #T_aabf5_row16_col12, #T_aabf5_row27_col9, #T_aabf5_row29_col12, #T_aabf5_row32_col25, #T_aabf5_row32_col26 {\n",
       "  background-color: #86a9fc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row2_col15, #T_aabf5_row4_col2, #T_aabf5_row4_col23, #T_aabf5_row5_col8, #T_aabf5_row6_col28, #T_aabf5_row8_col17, #T_aabf5_row17_col29, #T_aabf5_row20_col30, #T_aabf5_row20_col31, #T_aabf5_row21_col30, #T_aabf5_row24_col18, #T_aabf5_row25_col2, #T_aabf5_row26_col2, #T_aabf5_row33_col15 {\n",
       "  background-color: #adc9fd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row2_col16, #T_aabf5_row12_col9, #T_aabf5_row16_col30, #T_aabf5_row17_col3 {\n",
       "  background-color: #8fb1fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row2_col18, #T_aabf5_row4_col13, #T_aabf5_row5_col2, #T_aabf5_row10_col22, #T_aabf5_row19_col12, #T_aabf5_row21_col13, #T_aabf5_row24_col2 {\n",
       "  background-color: #6788ee;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row2_col19, #T_aabf5_row4_col3, #T_aabf5_row18_col9, #T_aabf5_row19_col13 {\n",
       "  background-color: #6180e9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row2_col21, #T_aabf5_row7_col28, #T_aabf5_row10_col11, #T_aabf5_row13_col2, #T_aabf5_row13_col21, #T_aabf5_row19_col0, #T_aabf5_row30_col23 {\n",
       "  background-color: #d3dbe7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row2_col22, #T_aabf5_row4_col29, #T_aabf5_row5_col22, #T_aabf5_row8_col4, #T_aabf5_row14_col12, #T_aabf5_row19_col29, #T_aabf5_row22_col32, #T_aabf5_row24_col12 {\n",
       "  background-color: #6282ea;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row2_col25, #T_aabf5_row2_col26, #T_aabf5_row9_col22, #T_aabf5_row16_col22, #T_aabf5_row19_col3, #T_aabf5_row20_col27, #T_aabf5_row23_col27, #T_aabf5_row27_col19, #T_aabf5_row27_col23, #T_aabf5_row31_col18 {\n",
       "  background-color: #6b8df0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row2_col30, #T_aabf5_row7_col21, #T_aabf5_row9_col25, #T_aabf5_row9_col26, #T_aabf5_row12_col10, #T_aabf5_row31_col6, #T_aabf5_row32_col21 {\n",
       "  background-color: #d7dce3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row2_col31, #T_aabf5_row6_col18, #T_aabf5_row8_col31, #T_aabf5_row14_col7, #T_aabf5_row19_col16, #T_aabf5_row21_col17, #T_aabf5_row25_col10, #T_aabf5_row26_col10, #T_aabf5_row30_col14 {\n",
       "  background-color: #e9d5cb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row2_col33 {\n",
       "  background-color: #f4c6af;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row3_col4, #T_aabf5_row17_col2 {\n",
       "  background-color: #4055c8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row3_col5, #T_aabf5_row10_col17, #T_aabf5_row16_col2, #T_aabf5_row16_col28, #T_aabf5_row19_col8, #T_aabf5_row21_col4, #T_aabf5_row21_col15, #T_aabf5_row21_col19, #T_aabf5_row27_col11, #T_aabf5_row31_col16, #T_aabf5_row33_col16 {\n",
       "  background-color: #92b4fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row3_col6, #T_aabf5_row8_col6, #T_aabf5_row19_col17 {\n",
       "  background-color: #e7d7ce;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row3_col7, #T_aabf5_row11_col23, #T_aabf5_row17_col9, #T_aabf5_row28_col31 {\n",
       "  background-color: #f7aa8c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row3_col8 {\n",
       "  background-color: #f6bea4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row3_col9, #T_aabf5_row6_col14, #T_aabf5_row11_col6, #T_aabf5_row14_col15, #T_aabf5_row15_col6, #T_aabf5_row15_col11, #T_aabf5_row16_col10, #T_aabf5_row23_col16 {\n",
       "  background-color: #aec9fc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row3_col10, #T_aabf5_row8_col1, #T_aabf5_row12_col0, #T_aabf5_row23_col31, #T_aabf5_row29_col33 {\n",
       "  background-color: #ead5c9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row3_col12, #T_aabf5_row16_col9, #T_aabf5_row17_col12, #T_aabf5_row17_col32, #T_aabf5_row18_col32, #T_aabf5_row23_col2 {\n",
       "  background-color: #7295f4;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row3_col13, #T_aabf5_row11_col2, #T_aabf5_row17_col27, #T_aabf5_row18_col22, #T_aabf5_row20_col32, #T_aabf5_row28_col2 {\n",
       "  background-color: #6687ed;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row3_col15, #T_aabf5_row6_col1, #T_aabf5_row6_col24, #T_aabf5_row6_col33, #T_aabf5_row7_col15, #T_aabf5_row14_col29, #T_aabf5_row18_col0, #T_aabf5_row32_col31 {\n",
       "  background-color: #afcafc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row3_col17, #T_aabf5_row19_col11, #T_aabf5_row31_col20, #T_aabf5_row31_col29, #T_aabf5_row33_col3, #T_aabf5_row33_col21 {\n",
       "  background-color: #abc8fd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row3_col18, #T_aabf5_row11_col15, #T_aabf5_row13_col15, #T_aabf5_row13_col30, #T_aabf5_row23_col18 {\n",
       "  background-color: #c7d7f0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row3_col20, #T_aabf5_row5_col29, #T_aabf5_row6_col10, #T_aabf5_row10_col24, #T_aabf5_row15_col27, #T_aabf5_row17_col4, #T_aabf5_row21_col2, #T_aabf5_row22_col15, #T_aabf5_row28_col4, #T_aabf5_row30_col25, #T_aabf5_row30_col26 {\n",
       "  background-color: #c0d4f5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row3_col27, #T_aabf5_row3_col28, #T_aabf5_row8_col24, #T_aabf5_row19_col7, #T_aabf5_row20_col4, #T_aabf5_row22_col5, #T_aabf5_row22_col24, #T_aabf5_row23_col19, #T_aabf5_row32_col3, #T_aabf5_row32_col9 {\n",
       "  background-color: #9dbdff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row3_col30, #T_aabf5_row17_col16, #T_aabf5_row27_col21, #T_aabf5_row29_col18 {\n",
       "  background-color: #c6d6f1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row3_col31, #T_aabf5_row4_col1, #T_aabf5_row7_col2, #T_aabf5_row11_col7, #T_aabf5_row28_col7 {\n",
       "  background-color: #e4d9d2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row3_col32 {\n",
       "  background-color: #4f69d9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row4_col6, #T_aabf5_row8_col21, #T_aabf5_row17_col31, #T_aabf5_row25_col5, #T_aabf5_row26_col5, #T_aabf5_row29_col8, #T_aabf5_row30_col2, #T_aabf5_row30_col8, #T_aabf5_row31_col17 {\n",
       "  background-color: #e1dad6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row4_col8, #T_aabf5_row8_col9, #T_aabf5_row10_col13, #T_aabf5_row11_col3, #T_aabf5_row12_col3, #T_aabf5_row16_col11, #T_aabf5_row21_col14, #T_aabf5_row21_col28, #T_aabf5_row27_col20, #T_aabf5_row30_col27, #T_aabf5_row31_col27 {\n",
       "  background-color: #98b9ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row4_col9, #T_aabf5_row4_col22, #T_aabf5_row21_col12 {\n",
       "  background-color: #4a63d3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row4_col12, #T_aabf5_row6_col32, #T_aabf5_row23_col32, #T_aabf5_row24_col22, #T_aabf5_row28_col12, #T_aabf5_row29_col19, #T_aabf5_row31_col12, #T_aabf5_row33_col22 {\n",
       "  background-color: #6384eb;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row4_col16, #T_aabf5_row11_col10, #T_aabf5_row17_col21, #T_aabf5_row30_col5 {\n",
       "  background-color: #f2cab5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row4_col18, #T_aabf5_row4_col28, #T_aabf5_row6_col8, #T_aabf5_row20_col33, #T_aabf5_row22_col1, #T_aabf5_row30_col21, #T_aabf5_row32_col10 {\n",
       "  background-color: #d1dae9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row4_col19, #T_aabf5_row10_col30, #T_aabf5_row33_col0, #T_aabf5_row33_col24 {\n",
       "  background-color: #f7b497;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row4_col21, #T_aabf5_row11_col25, #T_aabf5_row11_col26, #T_aabf5_row13_col6, #T_aabf5_row20_col18, #T_aabf5_row29_col24 {\n",
       "  background-color: #d8dce2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row4_col24, #T_aabf5_row7_col9, #T_aabf5_row7_col24, #T_aabf5_row13_col7, #T_aabf5_row19_col20, #T_aabf5_row20_col2, #T_aabf5_row28_col21, #T_aabf5_row31_col21, #T_aabf5_row32_col1 {\n",
       "  background-color: #cedaeb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row4_col25, #T_aabf5_row4_col26, #T_aabf5_row7_col27, #T_aabf5_row10_col12, #T_aabf5_row15_col13, #T_aabf5_row20_col9 {\n",
       "  background-color: #7a9df8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row4_col30, #T_aabf5_row5_col25, #T_aabf5_row5_col26, #T_aabf5_row9_col15, #T_aabf5_row29_col6, #T_aabf5_row31_col3 {\n",
       "  background-color: #d5dbe5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row4_col31, #T_aabf5_row7_col5, #T_aabf5_row32_col33 {\n",
       "  background-color: #ccd9ed;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row4_col32, #T_aabf5_row7_col32, #T_aabf5_row16_col14, #T_aabf5_row30_col22, #T_aabf5_row33_col18 {\n",
       "  background-color: #5470de;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row4_col33, #T_aabf5_row15_col18, #T_aabf5_row17_col30, #T_aabf5_row28_col25, #T_aabf5_row28_col26, #T_aabf5_row29_col28, #T_aabf5_row30_col6 {\n",
       "  background-color: #dbdcde;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row5_col0, #T_aabf5_row17_col11 {\n",
       "  background-color: #f08b6e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row5_col4, #T_aabf5_row5_col16, #T_aabf5_row6_col30, #T_aabf5_row7_col20, #T_aabf5_row10_col6, #T_aabf5_row12_col2, #T_aabf5_row12_col20, #T_aabf5_row15_col31, #T_aabf5_row21_col3, #T_aabf5_row24_col16, #T_aabf5_row28_col15, #T_aabf5_row30_col3, #T_aabf5_row33_col6 {\n",
       "  background-color: #bbd1f8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row5_col9, #T_aabf5_row31_col1 {\n",
       "  background-color: #e36c55;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row5_col11, #T_aabf5_row11_col5 {\n",
       "  background-color: #b50927;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row5_col13, #T_aabf5_row7_col12, #T_aabf5_row13_col27, #T_aabf5_row14_col19, #T_aabf5_row15_col29, #T_aabf5_row18_col8, #T_aabf5_row21_col27, #T_aabf5_row22_col14, #T_aabf5_row25_col16, #T_aabf5_row26_col16 {\n",
       "  background-color: #80a3fa;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row5_col14, #T_aabf5_row9_col5, #T_aabf5_row11_col9, #T_aabf5_row14_col11, #T_aabf5_row14_col24 {\n",
       "  background-color: #e36b54;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row5_col17, #T_aabf5_row11_col1, #T_aabf5_row14_col17, #T_aabf5_row24_col9 {\n",
       "  background-color: #ea7b60;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row5_col19, #T_aabf5_row22_col23, #T_aabf5_row27_col28, #T_aabf5_row30_col29 {\n",
       "  background-color: #8db0fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row5_col21, #T_aabf5_row12_col11, #T_aabf5_row13_col23, #T_aabf5_row16_col20, #T_aabf5_row22_col30, #T_aabf5_row23_col29, #T_aabf5_row24_col19, #T_aabf5_row32_col11 {\n",
       "  background-color: #a3c2fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row5_col24, #T_aabf5_row24_col5 {\n",
       "  background-color: #d0473d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row5_col27, #T_aabf5_row12_col25, #T_aabf5_row12_col26, #T_aabf5_row18_col12 {\n",
       "  background-color: #89acfd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row5_col28, #T_aabf5_row28_col5 {\n",
       "  background-color: #bd1f2d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row5_col30, #T_aabf5_row23_col1 {\n",
       "  background-color: #f5c2aa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row5_col32, #T_aabf5_row18_col28, #T_aabf5_row20_col22, #T_aabf5_row21_col5, #T_aabf5_row22_col13 {\n",
       "  background-color: #5a78e4;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row5_col33, #T_aabf5_row11_col0, #T_aabf5_row30_col1 {\n",
       "  background-color: #f08a6c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row6_col2, #T_aabf5_row6_col3, #T_aabf5_row10_col3, #T_aabf5_row11_col29, #T_aabf5_row13_col17, #T_aabf5_row22_col16, #T_aabf5_row28_col29, #T_aabf5_row29_col14, #T_aabf5_row33_col20 {\n",
       "  background-color: #c1d4f4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row6_col4, #T_aabf5_row8_col28, #T_aabf5_row15_col24, #T_aabf5_row15_col28, #T_aabf5_row23_col4, #T_aabf5_row28_col3, #T_aabf5_row30_col16, #T_aabf5_row32_col23 {\n",
       "  background-color: #9fbfff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row6_col9, #T_aabf5_row12_col28, #T_aabf5_row14_col13, #T_aabf5_row30_col13 {\n",
       "  background-color: #88abfd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row6_col11, #T_aabf5_row7_col22, #T_aabf5_row13_col12, #T_aabf5_row20_col13, #T_aabf5_row24_col32, #T_aabf5_row29_col32 {\n",
       "  background-color: #6485ec;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row6_col15, #T_aabf5_row6_col19, #T_aabf5_row10_col4, #T_aabf5_row19_col27, #T_aabf5_row20_col25, #T_aabf5_row20_col26, #T_aabf5_row22_col27 {\n",
       "  background-color: #8badfd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row6_col20, #T_aabf5_row25_col8, #T_aabf5_row26_col8, #T_aabf5_row28_col10, #T_aabf5_row29_col3 {\n",
       "  background-color: #efcfbf;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row6_col21, #T_aabf5_row21_col6, #T_aabf5_row24_col28, #T_aabf5_row28_col24 {\n",
       "  background-color: #c53334;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row6_col23, #T_aabf5_row7_col23, #T_aabf5_row8_col0, #T_aabf5_row12_col8, #T_aabf5_row22_col6, #T_aabf5_row24_col15, #T_aabf5_row32_col7, #T_aabf5_row32_col16 {\n",
       "  background-color: #bcd2f7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row6_col27, #T_aabf5_row18_col4, #T_aabf5_row18_col19, #T_aabf5_row32_col13, #T_aabf5_row32_col19 {\n",
       "  background-color: #799cf8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row6_col29, #T_aabf5_row24_col27, #T_aabf5_row25_col22, #T_aabf5_row26_col22, #T_aabf5_row27_col14 {\n",
       "  background-color: #7597f6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row7_col4, #T_aabf5_row13_col32 {\n",
       "  background-color: #688aef;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row7_col6, #T_aabf5_row8_col30, #T_aabf5_row19_col6, #T_aabf5_row27_col0, #T_aabf5_row27_col10, #T_aabf5_row29_col31 {\n",
       "  background-color: #dedcdb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row7_col8, #T_aabf5_row28_col14 {\n",
       "  background-color: #d95847;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row7_col10 {\n",
       "  background-color: #f7b396;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row7_col13, #T_aabf5_row16_col23, #T_aabf5_row25_col12, #T_aabf5_row26_col12, #T_aabf5_row28_col13, #T_aabf5_row28_col27, #T_aabf5_row30_col19, #T_aabf5_row32_col29 {\n",
       "  background-color: #82a6fb;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row7_col14, #T_aabf5_row9_col6, #T_aabf5_row13_col31, #T_aabf5_row18_col17, #T_aabf5_row20_col1, #T_aabf5_row22_col17, #T_aabf5_row27_col2, #T_aabf5_row31_col25, #T_aabf5_row31_col26, #T_aabf5_row32_col17 {\n",
       "  background-color: #cdd9ec;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row7_col19 {\n",
       "  background-color: #4b64d5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row7_col25, #T_aabf5_row7_col26, #T_aabf5_row8_col3 {\n",
       "  background-color: #f3c7b1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row7_col31, #T_aabf5_row11_col31, #T_aabf5_row14_col9, #T_aabf5_row31_col7 {\n",
       "  background-color: #f7b194;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row7_col33, #T_aabf5_row9_col0, #T_aabf5_row9_col31, #T_aabf5_row28_col30, #T_aabf5_row33_col14 {\n",
       "  background-color: #f6bda2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row8_col2, #T_aabf5_row13_col1, #T_aabf5_row18_col21, #T_aabf5_row23_col6, #T_aabf5_row31_col0, #T_aabf5_row31_col2 {\n",
       "  background-color: #ead4c8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row8_col7, #T_aabf5_row23_col17 {\n",
       "  background-color: #d85646;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row8_col13, #T_aabf5_row11_col12, #T_aabf5_row12_col24, #T_aabf5_row15_col12, #T_aabf5_row24_col13, #T_aabf5_row27_col33, #T_aabf5_row29_col22 {\n",
       "  background-color: #84a7fc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row8_col14, #T_aabf5_row10_col25, #T_aabf5_row10_col26, #T_aabf5_row12_col31, #T_aabf5_row20_col0, #T_aabf5_row21_col24, #T_aabf5_row27_col7 {\n",
       "  background-color: #a7c5fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row8_col19, #T_aabf5_row21_col22 {\n",
       "  background-color: #4961d2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row8_col23, #T_aabf5_row9_col16, #T_aabf5_row10_col27, #T_aabf5_row11_col21, #T_aabf5_row14_col4, #T_aabf5_row21_col33, #T_aabf5_row32_col30, #T_aabf5_row33_col13 {\n",
       "  background-color: #a1c0ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row8_col25, #T_aabf5_row8_col26, #T_aabf5_row14_col21, #T_aabf5_row19_col18, #T_aabf5_row22_col10, #T_aabf5_row22_col18, #T_aabf5_row23_col10, #T_aabf5_row24_col21, #T_aabf5_row29_col5 {\n",
       "  background-color: #d9dce1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row8_col29, #T_aabf5_row19_col28, #T_aabf5_row19_col31, #T_aabf5_row23_col15, #T_aabf5_row28_col20, #T_aabf5_row30_col4, #T_aabf5_row32_col15 {\n",
       "  background-color: #b7cff9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row8_col32, #T_aabf5_row30_col12 {\n",
       "  background-color: #5d7ce6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row8_col33, #T_aabf5_row23_col21 {\n",
       "  background-color: #ecd3c5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row9_col1, #T_aabf5_row30_col33, #T_aabf5_row33_col5 {\n",
       "  background-color: #f5a081;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row9_col2, #T_aabf5_row12_col14, #T_aabf5_row13_col19, #T_aabf5_row22_col19, #T_aabf5_row32_col22, #T_aabf5_row33_col12 {\n",
       "  background-color: #7093f3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row9_col7, #T_aabf5_row10_col8, #T_aabf5_row14_col6, #T_aabf5_row18_col6, #T_aabf5_row18_col16, #T_aabf5_row23_col0, #T_aabf5_row29_col10, #T_aabf5_row30_col0 {\n",
       "  background-color: #e6d7cf;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row9_col10, #T_aabf5_row9_col30, #T_aabf5_row15_col0, #T_aabf5_row24_col10, #T_aabf5_row25_col31, #T_aabf5_row26_col31 {\n",
       "  background-color: #ebd3c6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row9_col11, #T_aabf5_row17_col28, #T_aabf5_row31_col30 {\n",
       "  background-color: #e26952;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row9_col13, #T_aabf5_row13_col29, #T_aabf5_row14_col2, #T_aabf5_row15_col14, #T_aabf5_row29_col27, #T_aabf5_row30_col18, #T_aabf5_row32_col27 {\n",
       "  background-color: #7b9ff9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row9_col14, #T_aabf5_row24_col31 {\n",
       "  background-color: #f7b599;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row9_col17, #T_aabf5_row28_col23 {\n",
       "  background-color: #f4987a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row9_col19, #T_aabf5_row21_col0 {\n",
       "  background-color: #3e51c5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row9_col20, #T_aabf5_row16_col27, #T_aabf5_row16_col33, #T_aabf5_row17_col15, #T_aabf5_row21_col16 {\n",
       "  background-color: #a5c3fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row9_col24 {\n",
       "  background-color: #e97a5f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row9_col28, #T_aabf5_row10_col2, #T_aabf5_row30_col31 {\n",
       "  background-color: #e0654f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row9_col32, #T_aabf5_row19_col22, #T_aabf5_row21_col32, #T_aabf5_row23_col12, #T_aabf5_row28_col32 {\n",
       "  background-color: #5e7de7;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row9_col33, #T_aabf5_row19_col4, #T_aabf5_row25_col7, #T_aabf5_row26_col7 {\n",
       "  background-color: #f7ad90;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row10_col0, #T_aabf5_row31_col14 {\n",
       "  background-color: #f0cdbb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row10_col1 {\n",
       "  background-color: #cd423b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row10_col20, #T_aabf5_row17_col19, #T_aabf5_row20_col7, #T_aabf5_row22_col2, #T_aabf5_row22_col7, #T_aabf5_row24_col4, #T_aabf5_row29_col23 {\n",
       "  background-color: #bed2f6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row10_col23, #T_aabf5_row24_col3 {\n",
       "  background-color: #97b8ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row10_col31, #T_aabf5_row28_col33 {\n",
       "  background-color: #f29274;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row10_col32 {\n",
       "  background-color: #485fd1;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row10_col33, #T_aabf5_row17_col23, #T_aabf5_row28_col17 {\n",
       "  background-color: #de614d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row11_col14, #T_aabf5_row23_col24, #T_aabf5_row24_col14 {\n",
       "  background-color: #e57058;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row11_col17, #T_aabf5_row14_col23 {\n",
       "  background-color: #ec7f63;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row11_col24 {\n",
       "  background-color: #d44e41;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row11_col28, #T_aabf5_row28_col11 {\n",
       "  background-color: #c12b30;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row11_col32, #T_aabf5_row18_col24, #T_aabf5_row20_col29, #T_aabf5_row23_col22, #T_aabf5_row31_col22 {\n",
       "  background-color: #5b7ae5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row11_col33, #T_aabf5_row17_col14 {\n",
       "  background-color: #f18d6f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row12_col13 {\n",
       "  background-color: #4e68d8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row12_col16, #T_aabf5_row16_col17, #T_aabf5_row21_col23, #T_aabf5_row27_col6 {\n",
       "  background-color: #c4d5f3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row12_col22 {\n",
       "  background-color: #f7ac8e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row12_col32, #T_aabf5_row15_col32, #T_aabf5_row27_col13 {\n",
       "  background-color: #506bda;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row12_col33, #T_aabf5_row19_col24, #T_aabf5_row21_col7, #T_aabf5_row22_col21, #T_aabf5_row29_col15, #T_aabf5_row29_col30, #T_aabf5_row33_col25, #T_aabf5_row33_col26 {\n",
       "  background-color: #c3d5f4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row13_col10, #T_aabf5_row25_col33, #T_aabf5_row26_col33 {\n",
       "  background-color: #edd2c3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row13_col22, #T_aabf5_row15_col4, #T_aabf5_row19_col32, #T_aabf5_row21_col11, #T_aabf5_row25_col32, #T_aabf5_row26_col32, #T_aabf5_row27_col22, #T_aabf5_row33_col32 {\n",
       "  background-color: #5875e1;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row13_col25, #T_aabf5_row13_col26, #T_aabf5_row27_col4 {\n",
       "  background-color: #8caffe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row13_col28, #T_aabf5_row19_col23, #T_aabf5_row21_col31, #T_aabf5_row22_col31, #T_aabf5_row24_col8, #T_aabf5_row28_col8 {\n",
       "  background-color: #b6cefa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row14_col0, #T_aabf5_row25_col1, #T_aabf5_row26_col1, #T_aabf5_row30_col24 {\n",
       "  background-color: #f1ccb8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row14_col1 {\n",
       "  background-color: #f39577;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row14_col5, #T_aabf5_row28_col9 {\n",
       "  background-color: #e16751;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row14_col10, #T_aabf5_row25_col3, #T_aabf5_row26_col3, #T_aabf5_row31_col9 {\n",
       "  background-color: #efcebd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row14_col22 {\n",
       "  background-color: #5673e0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row14_col27, #T_aabf5_row20_col12, #T_aabf5_row21_col9, #T_aabf5_row27_col12, #T_aabf5_row27_col24, #T_aabf5_row33_col19 {\n",
       "  background-color: #7ea1fa;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row14_col28 {\n",
       "  background-color: #d75445;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row14_col30, #T_aabf5_row29_col7, #T_aabf5_row33_col9 {\n",
       "  background-color: #f3c8b2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row14_col33 {\n",
       "  background-color: #f59f80;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row15_col10, #T_aabf5_row25_col23, #T_aabf5_row26_col23, #T_aabf5_row31_col23 {\n",
       "  background-color: #d4dbe6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row15_col16, #T_aabf5_row16_col0, #T_aabf5_row29_col0 {\n",
       "  background-color: #e3d9d3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row15_col25, #T_aabf5_row15_col26, #T_aabf5_row18_col23, #T_aabf5_row29_col4 {\n",
       "  background-color: #7699f6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row16_col18, #T_aabf5_row17_col6 {\n",
       "  background-color: #f2c9b4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row16_col32 {\n",
       "  background-color: #5572df;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row17_col0, #T_aabf5_row24_col6, #T_aabf5_row25_col6, #T_aabf5_row25_col9, #T_aabf5_row26_col6, #T_aabf5_row26_col9, #T_aabf5_row29_col17, #T_aabf5_row30_col9 {\n",
       "  background-color: #dfdbd9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row17_col1, #T_aabf5_row17_col33, #T_aabf5_row21_col18, #T_aabf5_row21_col20, #T_aabf5_row25_col17, #T_aabf5_row26_col17 {\n",
       "  background-color: #edd1c2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row17_col5, #T_aabf5_row31_col33 {\n",
       "  background-color: #ef886b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row17_col13, #T_aabf5_row25_col13, #T_aabf5_row26_col13, #T_aabf5_row31_col19 {\n",
       "  background-color: #6f92f3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row17_col24 {\n",
       "  background-color: #cf453c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row18_col3, #T_aabf5_row20_col5, #T_aabf5_row20_col11, #T_aabf5_row25_col27, #T_aabf5_row26_col27, #T_aabf5_row32_col4 {\n",
       "  background-color: #85a8fc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row18_col5, #T_aabf5_row18_col11, #T_aabf5_row18_col29 {\n",
       "  background-color: #536edd;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row18_col14 {\n",
       "  background-color: #445acc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row18_col25, #T_aabf5_row18_col26, #T_aabf5_row27_col29, #T_aabf5_row28_col22 {\n",
       "  background-color: #5977e3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row19_col33, #T_aabf5_row29_col21, #T_aabf5_row32_col0 {\n",
       "  background-color: #cfdaea;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row22_col3, #T_aabf5_row31_col4 {\n",
       "  background-color: #9ebeff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row22_col12 {\n",
       "  background-color: #f6a385;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row23_col11 {\n",
       "  background-color: #f7a688;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row23_col14, #T_aabf5_row31_col10 {\n",
       "  background-color: #ed8366;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row24_col11 {\n",
       "  background-color: #d24b40;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row24_col17 {\n",
       "  background-color: #cb3e38;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row24_col23 {\n",
       "  background-color: #e67259;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row25_col29, #T_aabf5_row26_col29 {\n",
       "  background-color: #f39778;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row28_col0 {\n",
       "  background-color: #f7bca1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row28_col1 {\n",
       "  background-color: #ee8468;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row29_col1 {\n",
       "  background-color: #eed0c0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row30_col11, #T_aabf5_row33_col2 {\n",
       "  background-color: #f1cdba;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row30_col32 {\n",
       "  background-color: #4257c9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row31_col5 {\n",
       "  background-color: #f6bfa6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row31_col28 {\n",
       "  background-color: #f7b99e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row31_col32 {\n",
       "  background-color: #4358cb;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row33_col10 {\n",
       "  background-color: #dc5d4a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_aabf5_row33_col11 {\n",
       "  background-color: #f6a283;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_aabf5_row33_col30 {\n",
       "  background-color: #f7af91;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_aabf5_\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th class=\"col_heading level0 col0\" >awake</th>\n",
       "      <th class=\"col_heading level0 col1\" >bedtime_end_delta</th>\n",
       "      <th class=\"col_heading level0 col2\" >bedtime_start_delta</th>\n",
       "      <th class=\"col_heading level0 col3\" >breath_average</th>\n",
       "      <th class=\"col_heading level0 col4\" >deep</th>\n",
       "      <th class=\"col_heading level0 col5\" >duration</th>\n",
       "      <th class=\"col_heading level0 col6\" >efficiency</th>\n",
       "      <th class=\"col_heading level0 col7\" >hr_average</th>\n",
       "      <th class=\"col_heading level0 col8\" >hr_lowest</th>\n",
       "      <th class=\"col_heading level0 col9\" >light</th>\n",
       "      <th class=\"col_heading level0 col10\" >midpoint_at_delta</th>\n",
       "      <th class=\"col_heading level0 col11\" >midpoint_time</th>\n",
       "      <th class=\"col_heading level0 col12\" >onset_latency</th>\n",
       "      <th class=\"col_heading level0 col13\" >period_id</th>\n",
       "      <th class=\"col_heading level0 col14\" >rem</th>\n",
       "      <th class=\"col_heading level0 col15\" >restless</th>\n",
       "      <th class=\"col_heading level0 col16\" >rmssd</th>\n",
       "      <th class=\"col_heading level0 col17\" >score</th>\n",
       "      <th class=\"col_heading level0 col18\" >score_alignment</th>\n",
       "      <th class=\"col_heading level0 col19\" >score_deep</th>\n",
       "      <th class=\"col_heading level0 col20\" >score_disturbances</th>\n",
       "      <th class=\"col_heading level0 col21\" >score_efficiency</th>\n",
       "      <th class=\"col_heading level0 col22\" >score_latency</th>\n",
       "      <th class=\"col_heading level0 col23\" >score_rem</th>\n",
       "      <th class=\"col_heading level0 col24\" >score_total</th>\n",
       "      <th class=\"col_heading level0 col25\" >temperature_delta</th>\n",
       "      <th class=\"col_heading level0 col26\" >temperature_deviation</th>\n",
       "      <th class=\"col_heading level0 col27\" >timezone</th>\n",
       "      <th class=\"col_heading level0 col28\" >total</th>\n",
       "      <th class=\"col_heading level0 col29\" >temperature_trend_deviation</th>\n",
       "      <th class=\"col_heading level0 col30\" >weekday</th>\n",
       "      <th class=\"col_heading level0 col31\" >weekend</th>\n",
       "      <th class=\"col_heading level0 col32\" >bedtime_start_hour</th>\n",
       "      <th class=\"col_heading level0 col33\" >bedtime_end_hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row0\" class=\"row_heading level0 row0\" >awake</th>\n",
       "      <td id=\"T_aabf5_row0_col0\" class=\"data row0 col0\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row0_col1\" class=\"data row0 col1\" >0.46</td>\n",
       "      <td id=\"T_aabf5_row0_col2\" class=\"data row0 col2\" >-0.18</td>\n",
       "      <td id=\"T_aabf5_row0_col3\" class=\"data row0 col3\" >-0.14</td>\n",
       "      <td id=\"T_aabf5_row0_col4\" class=\"data row0 col4\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row0_col5\" class=\"data row0 col5\" >0.59</td>\n",
       "      <td id=\"T_aabf5_row0_col6\" class=\"data row0 col6\" >-0.89</td>\n",
       "      <td id=\"T_aabf5_row0_col7\" class=\"data row0 col7\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row0_col8\" class=\"data row0 col8\" >-0.15</td>\n",
       "      <td id=\"T_aabf5_row0_col9\" class=\"data row0 col9\" >0.34</td>\n",
       "      <td id=\"T_aabf5_row0_col10\" class=\"data row0 col10\" >0.22</td>\n",
       "      <td id=\"T_aabf5_row0_col11\" class=\"data row0 col11\" >0.60</td>\n",
       "      <td id=\"T_aabf5_row0_col12\" class=\"data row0 col12\" >0.16</td>\n",
       "      <td id=\"T_aabf5_row0_col13\" class=\"data row0 col13\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row0_col14\" class=\"data row0 col14\" >0.24</td>\n",
       "      <td id=\"T_aabf5_row0_col15\" class=\"data row0 col15\" >0.17</td>\n",
       "      <td id=\"T_aabf5_row0_col16\" class=\"data row0 col16\" >0.11</td>\n",
       "      <td id=\"T_aabf5_row0_col17\" class=\"data row0 col17\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row0_col18\" class=\"data row0 col18\" >-0.23</td>\n",
       "      <td id=\"T_aabf5_row0_col19\" class=\"data row0 col19\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row0_col20\" class=\"data row0 col20\" >-0.27</td>\n",
       "      <td id=\"T_aabf5_row0_col21\" class=\"data row0 col21\" >-0.86</td>\n",
       "      <td id=\"T_aabf5_row0_col22\" class=\"data row0 col22\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row0_col23\" class=\"data row0 col23\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row0_col24\" class=\"data row0 col24\" >0.29</td>\n",
       "      <td id=\"T_aabf5_row0_col25\" class=\"data row0 col25\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row0_col26\" class=\"data row0 col26\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row0_col27\" class=\"data row0 col27\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row0_col28\" class=\"data row0 col28\" >0.35</td>\n",
       "      <td id=\"T_aabf5_row0_col29\" class=\"data row0 col29\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row0_col30\" class=\"data row0 col30\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row0_col31\" class=\"data row0 col31\" >0.16</td>\n",
       "      <td id=\"T_aabf5_row0_col32\" class=\"data row0 col32\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row0_col33\" class=\"data row0 col33\" >0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row1\" class=\"row_heading level0 row1\" >bedtime_end_delta</th>\n",
       "      <td id=\"T_aabf5_row1_col0\" class=\"data row1 col0\" >0.46</td>\n",
       "      <td id=\"T_aabf5_row1_col1\" class=\"data row1 col1\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row1_col2\" class=\"data row1 col2\" >0.38</td>\n",
       "      <td id=\"T_aabf5_row1_col3\" class=\"data row1 col3\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row1_col4\" class=\"data row1 col4\" >0.12</td>\n",
       "      <td id=\"T_aabf5_row1_col5\" class=\"data row1 col5\" >0.68</td>\n",
       "      <td id=\"T_aabf5_row1_col6\" class=\"data row1 col6\" >-0.22</td>\n",
       "      <td id=\"T_aabf5_row1_col7\" class=\"data row1 col7\" >0.38</td>\n",
       "      <td id=\"T_aabf5_row1_col8\" class=\"data row1 col8\" >0.17</td>\n",
       "      <td id=\"T_aabf5_row1_col9\" class=\"data row1 col9\" >0.50</td>\n",
       "      <td id=\"T_aabf5_row1_col10\" class=\"data row1 col10\" >0.87</td>\n",
       "      <td id=\"T_aabf5_row1_col11\" class=\"data row1 col11\" >0.66</td>\n",
       "      <td id=\"T_aabf5_row1_col12\" class=\"data row1 col12\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row1_col13\" class=\"data row1 col13\" >0.17</td>\n",
       "      <td id=\"T_aabf5_row1_col14\" class=\"data row1 col14\" >0.55</td>\n",
       "      <td id=\"T_aabf5_row1_col15\" class=\"data row1 col15\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row1_col16\" class=\"data row1 col16\" >-0.20</td>\n",
       "      <td id=\"T_aabf5_row1_col17\" class=\"data row1 col17\" >0.20</td>\n",
       "      <td id=\"T_aabf5_row1_col18\" class=\"data row1 col18\" >-0.87</td>\n",
       "      <td id=\"T_aabf5_row1_col19\" class=\"data row1 col19\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row1_col20\" class=\"data row1 col20\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row1_col21\" class=\"data row1 col21\" >-0.29</td>\n",
       "      <td id=\"T_aabf5_row1_col22\" class=\"data row1 col22\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row1_col23\" class=\"data row1 col23\" >0.31</td>\n",
       "      <td id=\"T_aabf5_row1_col24\" class=\"data row1 col24\" >0.56</td>\n",
       "      <td id=\"T_aabf5_row1_col25\" class=\"data row1 col25\" >0.24</td>\n",
       "      <td id=\"T_aabf5_row1_col26\" class=\"data row1 col26\" >0.24</td>\n",
       "      <td id=\"T_aabf5_row1_col27\" class=\"data row1 col27\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row1_col28\" class=\"data row1 col28\" >0.63</td>\n",
       "      <td id=\"T_aabf5_row1_col29\" class=\"data row1 col29\" >0.21</td>\n",
       "      <td id=\"T_aabf5_row1_col30\" class=\"data row1 col30\" >0.60</td>\n",
       "      <td id=\"T_aabf5_row1_col31\" class=\"data row1 col31\" >0.72</td>\n",
       "      <td id=\"T_aabf5_row1_col32\" class=\"data row1 col32\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row1_col33\" class=\"data row1 col33\" >0.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row2\" class=\"row_heading level0 row2\" >bedtime_start_delta</th>\n",
       "      <td id=\"T_aabf5_row2_col0\" class=\"data row2 col0\" >-0.18</td>\n",
       "      <td id=\"T_aabf5_row2_col1\" class=\"data row2 col1\" >0.38</td>\n",
       "      <td id=\"T_aabf5_row2_col2\" class=\"data row2 col2\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row2_col3\" class=\"data row2 col3\" >0.15</td>\n",
       "      <td id=\"T_aabf5_row2_col4\" class=\"data row2 col4\" >-0.09</td>\n",
       "      <td id=\"T_aabf5_row2_col5\" class=\"data row2 col5\" >-0.43</td>\n",
       "      <td id=\"T_aabf5_row2_col6\" class=\"data row2 col6\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row2_col7\" class=\"data row2 col7\" >0.21</td>\n",
       "      <td id=\"T_aabf5_row2_col8\" class=\"data row2 col8\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row2_col9\" class=\"data row2 col9\" >-0.38</td>\n",
       "      <td id=\"T_aabf5_row2_col10\" class=\"data row2 col10\" >0.78</td>\n",
       "      <td id=\"T_aabf5_row2_col11\" class=\"data row2 col11\" >-0.43</td>\n",
       "      <td id=\"T_aabf5_row2_col12\" class=\"data row2 col12\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row2_col13\" class=\"data row2 col13\" >0.11</td>\n",
       "      <td id=\"T_aabf5_row2_col14\" class=\"data row2 col14\" >-0.33</td>\n",
       "      <td id=\"T_aabf5_row2_col15\" class=\"data row2 col15\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row2_col16\" class=\"data row2 col16\" >-0.23</td>\n",
       "      <td id=\"T_aabf5_row2_col17\" class=\"data row2 col17\" >-0.63</td>\n",
       "      <td id=\"T_aabf5_row2_col18\" class=\"data row2 col18\" >-0.67</td>\n",
       "      <td id=\"T_aabf5_row2_col19\" class=\"data row2 col19\" >-0.08</td>\n",
       "      <td id=\"T_aabf5_row2_col20\" class=\"data row2 col20\" >0.08</td>\n",
       "      <td id=\"T_aabf5_row2_col21\" class=\"data row2 col21\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row2_col22\" class=\"data row2 col22\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row2_col23\" class=\"data row2 col23\" >-0.38</td>\n",
       "      <td id=\"T_aabf5_row2_col24\" class=\"data row2 col24\" >-0.43</td>\n",
       "      <td id=\"T_aabf5_row2_col25\" class=\"data row2 col25\" >-0.09</td>\n",
       "      <td id=\"T_aabf5_row2_col26\" class=\"data row2 col26\" >-0.09</td>\n",
       "      <td id=\"T_aabf5_row2_col27\" class=\"data row2 col27\" >0.08</td>\n",
       "      <td id=\"T_aabf5_row2_col28\" class=\"data row2 col28\" >-0.44</td>\n",
       "      <td id=\"T_aabf5_row2_col29\" class=\"data row2 col29\" >-0.08</td>\n",
       "      <td id=\"T_aabf5_row2_col30\" class=\"data row2 col30\" >0.20</td>\n",
       "      <td id=\"T_aabf5_row2_col31\" class=\"data row2 col31\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row2_col32\" class=\"data row2 col32\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row2_col33\" class=\"data row2 col33\" >0.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row3\" class=\"row_heading level0 row3\" >breath_average</th>\n",
       "      <td id=\"T_aabf5_row3_col0\" class=\"data row3 col0\" >-0.14</td>\n",
       "      <td id=\"T_aabf5_row3_col1\" class=\"data row3 col1\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row3_col2\" class=\"data row3 col2\" >0.15</td>\n",
       "      <td id=\"T_aabf5_row3_col3\" class=\"data row3 col3\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row3_col4\" class=\"data row3 col4\" >-0.28</td>\n",
       "      <td id=\"T_aabf5_row3_col5\" class=\"data row3 col5\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row3_col6\" class=\"data row3 col6\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row3_col7\" class=\"data row3 col7\" >0.52</td>\n",
       "      <td id=\"T_aabf5_row3_col8\" class=\"data row3 col8\" >0.44</td>\n",
       "      <td id=\"T_aabf5_row3_col9\" class=\"data row3 col9\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row3_col10\" class=\"data row3 col10\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row3_col11\" class=\"data row3 col11\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row3_col12\" class=\"data row3 col12\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row3_col13\" class=\"data row3 col13\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row3_col14\" class=\"data row3 col14\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row3_col15\" class=\"data row3 col15\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row3_col16\" class=\"data row3 col16\" >-0.45</td>\n",
       "      <td id=\"T_aabf5_row3_col17\" class=\"data row3 col17\" >-0.08</td>\n",
       "      <td id=\"T_aabf5_row3_col18\" class=\"data row3 col18\" >-0.12</td>\n",
       "      <td id=\"T_aabf5_row3_col19\" class=\"data row3 col19\" >-0.23</td>\n",
       "      <td id=\"T_aabf5_row3_col20\" class=\"data row3 col20\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row3_col21\" class=\"data row3 col21\" >0.11</td>\n",
       "      <td id=\"T_aabf5_row3_col22\" class=\"data row3 col22\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row3_col23\" class=\"data row3 col23\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row3_col24\" class=\"data row3 col24\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row3_col25\" class=\"data row3 col25\" >0.39</td>\n",
       "      <td id=\"T_aabf5_row3_col26\" class=\"data row3 col26\" >0.39</td>\n",
       "      <td id=\"T_aabf5_row3_col27\" class=\"data row3 col27\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row3_col28\" class=\"data row3 col28\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row3_col29\" class=\"data row3 col29\" >0.39</td>\n",
       "      <td id=\"T_aabf5_row3_col30\" class=\"data row3 col30\" >0.11</td>\n",
       "      <td id=\"T_aabf5_row3_col31\" class=\"data row3 col31\" >0.23</td>\n",
       "      <td id=\"T_aabf5_row3_col32\" class=\"data row3 col32\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row3_col33\" class=\"data row3 col33\" >0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row4\" class=\"row_heading level0 row4\" >deep</th>\n",
       "      <td id=\"T_aabf5_row4_col0\" class=\"data row4 col0\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row4_col1\" class=\"data row4 col1\" >0.12</td>\n",
       "      <td id=\"T_aabf5_row4_col2\" class=\"data row4 col2\" >-0.09</td>\n",
       "      <td id=\"T_aabf5_row4_col3\" class=\"data row4 col3\" >-0.28</td>\n",
       "      <td id=\"T_aabf5_row4_col4\" class=\"data row4 col4\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row4_col5\" class=\"data row4 col5\" >0.20</td>\n",
       "      <td id=\"T_aabf5_row4_col6\" class=\"data row4 col6\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row4_col7\" class=\"data row4 col7\" >-0.12</td>\n",
       "      <td id=\"T_aabf5_row4_col8\" class=\"data row4 col8\" >-0.14</td>\n",
       "      <td id=\"T_aabf5_row4_col9\" class=\"data row4 col9\" >-0.31</td>\n",
       "      <td id=\"T_aabf5_row4_col10\" class=\"data row4 col10\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row4_col11\" class=\"data row4 col11\" >0.16</td>\n",
       "      <td id=\"T_aabf5_row4_col12\" class=\"data row4 col12\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row4_col13\" class=\"data row4 col13\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row4_col14\" class=\"data row4 col14\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row4_col15\" class=\"data row4 col15\" >-0.18</td>\n",
       "      <td id=\"T_aabf5_row4_col16\" class=\"data row4 col16\" >0.35</td>\n",
       "      <td id=\"T_aabf5_row4_col17\" class=\"data row4 col17\" >0.22</td>\n",
       "      <td id=\"T_aabf5_row4_col18\" class=\"data row4 col18\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row4_col19\" class=\"data row4 col19\" >0.60</td>\n",
       "      <td id=\"T_aabf5_row4_col20\" class=\"data row4 col20\" >0.08</td>\n",
       "      <td id=\"T_aabf5_row4_col21\" class=\"data row4 col21\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row4_col22\" class=\"data row4 col22\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row4_col23\" class=\"data row4 col23\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row4_col24\" class=\"data row4 col24\" >0.21</td>\n",
       "      <td id=\"T_aabf5_row4_col25\" class=\"data row4 col25\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row4_col26\" class=\"data row4 col26\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row4_col27\" class=\"data row4 col27\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row4_col28\" class=\"data row4 col28\" >0.22</td>\n",
       "      <td id=\"T_aabf5_row4_col29\" class=\"data row4 col29\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row4_col30\" class=\"data row4 col30\" >0.18</td>\n",
       "      <td id=\"T_aabf5_row4_col31\" class=\"data row4 col31\" >0.08</td>\n",
       "      <td id=\"T_aabf5_row4_col32\" class=\"data row4 col32\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row4_col33\" class=\"data row4 col33\" >0.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row5\" class=\"row_heading level0 row5\" >duration</th>\n",
       "      <td id=\"T_aabf5_row5_col0\" class=\"data row5 col0\" >0.59</td>\n",
       "      <td id=\"T_aabf5_row5_col1\" class=\"data row5 col1\" >0.68</td>\n",
       "      <td id=\"T_aabf5_row5_col2\" class=\"data row5 col2\" >-0.43</td>\n",
       "      <td id=\"T_aabf5_row5_col3\" class=\"data row5 col3\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row5_col4\" class=\"data row5 col4\" >0.20</td>\n",
       "      <td id=\"T_aabf5_row5_col5\" class=\"data row5 col5\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row5_col6\" class=\"data row5 col6\" >-0.21</td>\n",
       "      <td id=\"T_aabf5_row5_col7\" class=\"data row5 col7\" >0.20</td>\n",
       "      <td id=\"T_aabf5_row5_col8\" class=\"data row5 col8\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row5_col9\" class=\"data row5 col9\" >0.79</td>\n",
       "      <td id=\"T_aabf5_row5_col10\" class=\"data row5 col10\" >0.23</td>\n",
       "      <td id=\"T_aabf5_row5_col11\" class=\"data row5 col11\" >0.99</td>\n",
       "      <td id=\"T_aabf5_row5_col12\" class=\"data row5 col12\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row5_col13\" class=\"data row5 col13\" >0.08</td>\n",
       "      <td id=\"T_aabf5_row5_col14\" class=\"data row5 col14\" >0.80</td>\n",
       "      <td id=\"T_aabf5_row5_col15\" class=\"data row5 col15\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row5_col16\" class=\"data row5 col16\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row5_col17\" class=\"data row5 col17\" >0.70</td>\n",
       "      <td id=\"T_aabf5_row5_col18\" class=\"data row5 col18\" >-0.31</td>\n",
       "      <td id=\"T_aabf5_row5_col19\" class=\"data row5 col19\" >0.08</td>\n",
       "      <td id=\"T_aabf5_row5_col20\" class=\"data row5 col20\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row5_col21\" class=\"data row5 col21\" >-0.28</td>\n",
       "      <td id=\"T_aabf5_row5_col22\" class=\"data row5 col22\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row5_col23\" class=\"data row5 col23\" >0.60</td>\n",
       "      <td id=\"T_aabf5_row5_col24\" class=\"data row5 col24\" >0.88</td>\n",
       "      <td id=\"T_aabf5_row5_col25\" class=\"data row5 col25\" >0.31</td>\n",
       "      <td id=\"T_aabf5_row5_col26\" class=\"data row5 col26\" >0.31</td>\n",
       "      <td id=\"T_aabf5_row5_col27\" class=\"data row5 col27\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row5_col28\" class=\"data row5 col28\" >0.96</td>\n",
       "      <td id=\"T_aabf5_row5_col29\" class=\"data row5 col29\" >0.27</td>\n",
       "      <td id=\"T_aabf5_row5_col30\" class=\"data row5 col30\" >0.43</td>\n",
       "      <td id=\"T_aabf5_row5_col31\" class=\"data row5 col31\" >0.49</td>\n",
       "      <td id=\"T_aabf5_row5_col32\" class=\"data row5 col32\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row5_col33\" class=\"data row5 col33\" >0.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row6\" class=\"row_heading level0 row6\" >efficiency</th>\n",
       "      <td id=\"T_aabf5_row6_col0\" class=\"data row6 col0\" >-0.89</td>\n",
       "      <td id=\"T_aabf5_row6_col1\" class=\"data row6 col1\" >-0.22</td>\n",
       "      <td id=\"T_aabf5_row6_col2\" class=\"data row6 col2\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row6_col3\" class=\"data row6 col3\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row6_col4\" class=\"data row6 col4\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row6_col5\" class=\"data row6 col5\" >-0.21</td>\n",
       "      <td id=\"T_aabf5_row6_col6\" class=\"data row6 col6\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row6_col7\" class=\"data row6 col7\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row6_col8\" class=\"data row6 col8\" >0.14</td>\n",
       "      <td id=\"T_aabf5_row6_col9\" class=\"data row6 col9\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row6_col10\" class=\"data row6 col10\" >-0.16</td>\n",
       "      <td id=\"T_aabf5_row6_col11\" class=\"data row6 col11\" >-0.24</td>\n",
       "      <td id=\"T_aabf5_row6_col12\" class=\"data row6 col12\" >-0.26</td>\n",
       "      <td id=\"T_aabf5_row6_col13\" class=\"data row6 col13\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row6_col14\" class=\"data row6 col14\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row6_col15\" class=\"data row6 col15\" >-0.23</td>\n",
       "      <td id=\"T_aabf5_row6_col16\" class=\"data row6 col16\" >-0.17</td>\n",
       "      <td id=\"T_aabf5_row6_col17\" class=\"data row6 col17\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row6_col18\" class=\"data row6 col18\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row6_col19\" class=\"data row6 col19\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row6_col20\" class=\"data row6 col20\" >0.32</td>\n",
       "      <td id=\"T_aabf5_row6_col21\" class=\"data row6 col21\" >0.91</td>\n",
       "      <td id=\"T_aabf5_row6_col22\" class=\"data row6 col22\" >-0.16</td>\n",
       "      <td id=\"T_aabf5_row6_col23\" class=\"data row6 col23\" >0.16</td>\n",
       "      <td id=\"T_aabf5_row6_col24\" class=\"data row6 col24\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row6_col25\" class=\"data row6 col25\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row6_col26\" class=\"data row6 col26\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row6_col27\" class=\"data row6 col27\" >-0.11</td>\n",
       "      <td id=\"T_aabf5_row6_col28\" class=\"data row6 col28\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row6_col29\" class=\"data row6 col29\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row6_col30\" class=\"data row6 col30\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row6_col31\" class=\"data row6 col31\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row6_col32\" class=\"data row6 col32\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row6_col33\" class=\"data row6 col33\" >-0.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row7\" class=\"row_heading level0 row7\" >hr_average</th>\n",
       "      <td id=\"T_aabf5_row7_col0\" class=\"data row7 col0\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row7_col1\" class=\"data row7 col1\" >0.38</td>\n",
       "      <td id=\"T_aabf5_row7_col2\" class=\"data row7 col2\" >0.21</td>\n",
       "      <td id=\"T_aabf5_row7_col3\" class=\"data row7 col3\" >0.52</td>\n",
       "      <td id=\"T_aabf5_row7_col4\" class=\"data row7 col4\" >-0.12</td>\n",
       "      <td id=\"T_aabf5_row7_col5\" class=\"data row7 col5\" >0.20</td>\n",
       "      <td id=\"T_aabf5_row7_col6\" class=\"data row7 col6\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row7_col7\" class=\"data row7 col7\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row7_col8\" class=\"data row7 col8\" >0.82</td>\n",
       "      <td id=\"T_aabf5_row7_col9\" class=\"data row7 col9\" >0.24</td>\n",
       "      <td id=\"T_aabf5_row7_col10\" class=\"data row7 col10\" >0.39</td>\n",
       "      <td id=\"T_aabf5_row7_col11\" class=\"data row7 col11\" >0.22</td>\n",
       "      <td id=\"T_aabf5_row7_col12\" class=\"data row7 col12\" >0.00</td>\n",
       "      <td id=\"T_aabf5_row7_col13\" class=\"data row7 col13\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row7_col14\" class=\"data row7 col14\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row7_col15\" class=\"data row7 col15\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row7_col16\" class=\"data row7 col16\" >-0.65</td>\n",
       "      <td id=\"T_aabf5_row7_col17\" class=\"data row7 col17\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row7_col18\" class=\"data row7 col18\" >-0.38</td>\n",
       "      <td id=\"T_aabf5_row7_col19\" class=\"data row7 col19\" >-0.16</td>\n",
       "      <td id=\"T_aabf5_row7_col20\" class=\"data row7 col20\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row7_col21\" class=\"data row7 col21\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row7_col22\" class=\"data row7 col22\" >0.00</td>\n",
       "      <td id=\"T_aabf5_row7_col23\" class=\"data row7 col23\" >0.16</td>\n",
       "      <td id=\"T_aabf5_row7_col24\" class=\"data row7 col24\" >0.21</td>\n",
       "      <td id=\"T_aabf5_row7_col25\" class=\"data row7 col25\" >0.50</td>\n",
       "      <td id=\"T_aabf5_row7_col26\" class=\"data row7 col26\" >0.50</td>\n",
       "      <td id=\"T_aabf5_row7_col27\" class=\"data row7 col27\" >-0.11</td>\n",
       "      <td id=\"T_aabf5_row7_col28\" class=\"data row7 col28\" >0.23</td>\n",
       "      <td id=\"T_aabf5_row7_col29\" class=\"data row7 col29\" >0.36</td>\n",
       "      <td id=\"T_aabf5_row7_col30\" class=\"data row7 col30\" >0.38</td>\n",
       "      <td id=\"T_aabf5_row7_col31\" class=\"data row7 col31\" >0.48</td>\n",
       "      <td id=\"T_aabf5_row7_col32\" class=\"data row7 col32\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row7_col33\" class=\"data row7 col33\" >0.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row8\" class=\"row_heading level0 row8\" >hr_lowest</th>\n",
       "      <td id=\"T_aabf5_row8_col0\" class=\"data row8 col0\" >-0.15</td>\n",
       "      <td id=\"T_aabf5_row8_col1\" class=\"data row8 col1\" >0.17</td>\n",
       "      <td id=\"T_aabf5_row8_col2\" class=\"data row8 col2\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row8_col3\" class=\"data row8 col3\" >0.44</td>\n",
       "      <td id=\"T_aabf5_row8_col4\" class=\"data row8 col4\" >-0.14</td>\n",
       "      <td id=\"T_aabf5_row8_col5\" class=\"data row8 col5\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row8_col6\" class=\"data row8 col6\" >0.14</td>\n",
       "      <td id=\"T_aabf5_row8_col7\" class=\"data row8 col7\" >0.82</td>\n",
       "      <td id=\"T_aabf5_row8_col8\" class=\"data row8 col8\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row8_col9\" class=\"data row8 col9\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row8_col10\" class=\"data row8 col10\" >0.27</td>\n",
       "      <td id=\"T_aabf5_row8_col11\" class=\"data row8 col11\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row8_col12\" class=\"data row8 col12\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row8_col13\" class=\"data row8 col13\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row8_col14\" class=\"data row8 col14\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row8_col15\" class=\"data row8 col15\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row8_col16\" class=\"data row8 col16\" >-0.59</td>\n",
       "      <td id=\"T_aabf5_row8_col17\" class=\"data row8 col17\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row8_col18\" class=\"data row8 col18\" >-0.25</td>\n",
       "      <td id=\"T_aabf5_row8_col19\" class=\"data row8 col19\" >-0.17</td>\n",
       "      <td id=\"T_aabf5_row8_col20\" class=\"data row8 col20\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row8_col21\" class=\"data row8 col21\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row8_col22\" class=\"data row8 col22\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row8_col23\" class=\"data row8 col23\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row8_col24\" class=\"data row8 col24\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row8_col25\" class=\"data row8 col25\" >0.33</td>\n",
       "      <td id=\"T_aabf5_row8_col26\" class=\"data row8 col26\" >0.33</td>\n",
       "      <td id=\"T_aabf5_row8_col27\" class=\"data row8 col27\" >-0.16</td>\n",
       "      <td id=\"T_aabf5_row8_col28\" class=\"data row8 col28\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row8_col29\" class=\"data row8 col29\" >0.23</td>\n",
       "      <td id=\"T_aabf5_row8_col30\" class=\"data row8 col30\" >0.24</td>\n",
       "      <td id=\"T_aabf5_row8_col31\" class=\"data row8 col31\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row8_col32\" class=\"data row8 col32\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row8_col33\" class=\"data row8 col33\" >0.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row9\" class=\"row_heading level0 row9\" >light</th>\n",
       "      <td id=\"T_aabf5_row9_col0\" class=\"data row9 col0\" >0.34</td>\n",
       "      <td id=\"T_aabf5_row9_col1\" class=\"data row9 col1\" >0.50</td>\n",
       "      <td id=\"T_aabf5_row9_col2\" class=\"data row9 col2\" >-0.38</td>\n",
       "      <td id=\"T_aabf5_row9_col3\" class=\"data row9 col3\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row9_col4\" class=\"data row9 col4\" >-0.31</td>\n",
       "      <td id=\"T_aabf5_row9_col5\" class=\"data row9 col5\" >0.79</td>\n",
       "      <td id=\"T_aabf5_row9_col6\" class=\"data row9 col6\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row9_col7\" class=\"data row9 col7\" >0.24</td>\n",
       "      <td id=\"T_aabf5_row9_col8\" class=\"data row9 col8\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row9_col9\" class=\"data row9 col9\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row9_col10\" class=\"data row9 col10\" >0.15</td>\n",
       "      <td id=\"T_aabf5_row9_col11\" class=\"data row9 col11\" >0.80</td>\n",
       "      <td id=\"T_aabf5_row9_col12\" class=\"data row9 col12\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row9_col13\" class=\"data row9 col13\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row9_col14\" class=\"data row9 col14\" >0.57</td>\n",
       "      <td id=\"T_aabf5_row9_col15\" class=\"data row9 col15\" >0.14</td>\n",
       "      <td id=\"T_aabf5_row9_col16\" class=\"data row9 col16\" >-0.14</td>\n",
       "      <td id=\"T_aabf5_row9_col17\" class=\"data row9 col17\" >0.60</td>\n",
       "      <td id=\"T_aabf5_row9_col18\" class=\"data row9 col18\" >-0.21</td>\n",
       "      <td id=\"T_aabf5_row9_col19\" class=\"data row9 col19\" >-0.22</td>\n",
       "      <td id=\"T_aabf5_row9_col20\" class=\"data row9 col20\" >-0.11</td>\n",
       "      <td id=\"T_aabf5_row9_col21\" class=\"data row9 col21\" >-0.09</td>\n",
       "      <td id=\"T_aabf5_row9_col22\" class=\"data row9 col22\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row9_col23\" class=\"data row9 col23\" >0.45</td>\n",
       "      <td id=\"T_aabf5_row9_col24\" class=\"data row9 col24\" >0.75</td>\n",
       "      <td id=\"T_aabf5_row9_col25\" class=\"data row9 col25\" >0.33</td>\n",
       "      <td id=\"T_aabf5_row9_col26\" class=\"data row9 col26\" >0.33</td>\n",
       "      <td id=\"T_aabf5_row9_col27\" class=\"data row9 col27\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row9_col28\" class=\"data row9 col28\" >0.81</td>\n",
       "      <td id=\"T_aabf5_row9_col29\" class=\"data row9 col29\" >0.31</td>\n",
       "      <td id=\"T_aabf5_row9_col30\" class=\"data row9 col30\" >0.32</td>\n",
       "      <td id=\"T_aabf5_row9_col31\" class=\"data row9 col31\" >0.43</td>\n",
       "      <td id=\"T_aabf5_row9_col32\" class=\"data row9 col32\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row9_col33\" class=\"data row9 col33\" >0.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row10\" class=\"row_heading level0 row10\" >midpoint_at_delta</th>\n",
       "      <td id=\"T_aabf5_row10_col0\" class=\"data row10 col0\" >0.22</td>\n",
       "      <td id=\"T_aabf5_row10_col1\" class=\"data row10 col1\" >0.87</td>\n",
       "      <td id=\"T_aabf5_row10_col2\" class=\"data row10 col2\" >0.78</td>\n",
       "      <td id=\"T_aabf5_row10_col3\" class=\"data row10 col3\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row10_col4\" class=\"data row10 col4\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row10_col5\" class=\"data row10 col5\" >0.23</td>\n",
       "      <td id=\"T_aabf5_row10_col6\" class=\"data row10 col6\" >-0.16</td>\n",
       "      <td id=\"T_aabf5_row10_col7\" class=\"data row10 col7\" >0.39</td>\n",
       "      <td id=\"T_aabf5_row10_col8\" class=\"data row10 col8\" >0.27</td>\n",
       "      <td id=\"T_aabf5_row10_col9\" class=\"data row10 col9\" >0.15</td>\n",
       "      <td id=\"T_aabf5_row10_col10\" class=\"data row10 col10\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row10_col11\" class=\"data row10 col11\" >0.23</td>\n",
       "      <td id=\"T_aabf5_row10_col12\" class=\"data row10 col12\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row10_col13\" class=\"data row10 col13\" >0.17</td>\n",
       "      <td id=\"T_aabf5_row10_col14\" class=\"data row10 col14\" >0.19</td>\n",
       "      <td id=\"T_aabf5_row10_col15\" class=\"data row10 col15\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row10_col16\" class=\"data row10 col16\" >-0.27</td>\n",
       "      <td id=\"T_aabf5_row10_col17\" class=\"data row10 col17\" >-0.20</td>\n",
       "      <td id=\"T_aabf5_row10_col18\" class=\"data row10 col18\" >-0.94</td>\n",
       "      <td id=\"T_aabf5_row10_col19\" class=\"data row10 col19\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row10_col20\" class=\"data row10 col20\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row10_col21\" class=\"data row10 col21\" >-0.20</td>\n",
       "      <td id=\"T_aabf5_row10_col22\" class=\"data row10 col22\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row10_col23\" class=\"data row10 col23\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row10_col24\" class=\"data row10 col24\" >0.15</td>\n",
       "      <td id=\"T_aabf5_row10_col25\" class=\"data row10 col25\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row10_col26\" class=\"data row10 col26\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row10_col27\" class=\"data row10 col27\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row10_col28\" class=\"data row10 col28\" >0.19</td>\n",
       "      <td id=\"T_aabf5_row10_col29\" class=\"data row10 col29\" >0.11</td>\n",
       "      <td id=\"T_aabf5_row10_col30\" class=\"data row10 col30\" >0.50</td>\n",
       "      <td id=\"T_aabf5_row10_col31\" class=\"data row10 col31\" >0.62</td>\n",
       "      <td id=\"T_aabf5_row10_col32\" class=\"data row10 col32\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row10_col33\" class=\"data row10 col33\" >0.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row11\" class=\"row_heading level0 row11\" >midpoint_time</th>\n",
       "      <td id=\"T_aabf5_row11_col0\" class=\"data row11 col0\" >0.60</td>\n",
       "      <td id=\"T_aabf5_row11_col1\" class=\"data row11 col1\" >0.66</td>\n",
       "      <td id=\"T_aabf5_row11_col2\" class=\"data row11 col2\" >-0.43</td>\n",
       "      <td id=\"T_aabf5_row11_col3\" class=\"data row11 col3\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row11_col4\" class=\"data row11 col4\" >0.16</td>\n",
       "      <td id=\"T_aabf5_row11_col5\" class=\"data row11 col5\" >0.99</td>\n",
       "      <td id=\"T_aabf5_row11_col6\" class=\"data row11 col6\" >-0.24</td>\n",
       "      <td id=\"T_aabf5_row11_col7\" class=\"data row11 col7\" >0.22</td>\n",
       "      <td id=\"T_aabf5_row11_col8\" class=\"data row11 col8\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row11_col9\" class=\"data row11 col9\" >0.80</td>\n",
       "      <td id=\"T_aabf5_row11_col10\" class=\"data row11 col10\" >0.23</td>\n",
       "      <td id=\"T_aabf5_row11_col11\" class=\"data row11 col11\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row11_col12\" class=\"data row11 col12\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row11_col13\" class=\"data row11 col13\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row11_col14\" class=\"data row11 col14\" >0.79</td>\n",
       "      <td id=\"T_aabf5_row11_col15\" class=\"data row11 col15\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row11_col16\" class=\"data row11 col16\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row11_col17\" class=\"data row11 col17\" >0.69</td>\n",
       "      <td id=\"T_aabf5_row11_col18\" class=\"data row11 col18\" >-0.32</td>\n",
       "      <td id=\"T_aabf5_row11_col19\" class=\"data row11 col19\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row11_col20\" class=\"data row11 col20\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row11_col21\" class=\"data row11 col21\" >-0.29</td>\n",
       "      <td id=\"T_aabf5_row11_col22\" class=\"data row11 col22\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row11_col23\" class=\"data row11 col23\" >0.60</td>\n",
       "      <td id=\"T_aabf5_row11_col24\" class=\"data row11 col24\" >0.87</td>\n",
       "      <td id=\"T_aabf5_row11_col25\" class=\"data row11 col25\" >0.33</td>\n",
       "      <td id=\"T_aabf5_row11_col26\" class=\"data row11 col26\" >0.33</td>\n",
       "      <td id=\"T_aabf5_row11_col27\" class=\"data row11 col27\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row11_col28\" class=\"data row11 col28\" >0.95</td>\n",
       "      <td id=\"T_aabf5_row11_col29\" class=\"data row11 col29\" >0.27</td>\n",
       "      <td id=\"T_aabf5_row11_col30\" class=\"data row11 col30\" >0.42</td>\n",
       "      <td id=\"T_aabf5_row11_col31\" class=\"data row11 col31\" >0.48</td>\n",
       "      <td id=\"T_aabf5_row11_col32\" class=\"data row11 col32\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row11_col33\" class=\"data row11 col33\" >0.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row12\" class=\"row_heading level0 row12\" >onset_latency</th>\n",
       "      <td id=\"T_aabf5_row12_col0\" class=\"data row12 col0\" >0.16</td>\n",
       "      <td id=\"T_aabf5_row12_col1\" class=\"data row12 col1\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row12_col2\" class=\"data row12 col2\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row12_col3\" class=\"data row12 col3\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row12_col4\" class=\"data row12 col4\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row12_col5\" class=\"data row12 col5\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row12_col6\" class=\"data row12 col6\" >-0.26</td>\n",
       "      <td id=\"T_aabf5_row12_col7\" class=\"data row12 col7\" >0.00</td>\n",
       "      <td id=\"T_aabf5_row12_col8\" class=\"data row12 col8\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row12_col9\" class=\"data row12 col9\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row12_col10\" class=\"data row12 col10\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row12_col11\" class=\"data row12 col11\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row12_col12\" class=\"data row12 col12\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row12_col13\" class=\"data row12 col13\" >-0.09</td>\n",
       "      <td id=\"T_aabf5_row12_col14\" class=\"data row12 col14\" >-0.11</td>\n",
       "      <td id=\"T_aabf5_row12_col15\" class=\"data row12 col15\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row12_col16\" class=\"data row12 col16\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row12_col17\" class=\"data row12 col17\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row12_col18\" class=\"data row12 col18\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row12_col19\" class=\"data row12 col19\" >-0.08</td>\n",
       "      <td id=\"T_aabf5_row12_col20\" class=\"data row12 col20\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row12_col21\" class=\"data row12 col21\" >-0.20</td>\n",
       "      <td id=\"T_aabf5_row12_col22\" class=\"data row12 col22\" >0.65</td>\n",
       "      <td id=\"T_aabf5_row12_col23\" class=\"data row12 col23\" >-0.12</td>\n",
       "      <td id=\"T_aabf5_row12_col24\" class=\"data row12 col24\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row12_col25\" class=\"data row12 col25\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row12_col26\" class=\"data row12 col26\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row12_col27\" class=\"data row12 col27\" >0.00</td>\n",
       "      <td id=\"T_aabf5_row12_col28\" class=\"data row12 col28\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row12_col29\" class=\"data row12 col29\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row12_col30\" class=\"data row12 col30\" >-0.12</td>\n",
       "      <td id=\"T_aabf5_row12_col31\" class=\"data row12 col31\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row12_col32\" class=\"data row12 col32\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row12_col33\" class=\"data row12 col33\" >-0.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row13\" class=\"row_heading level0 row13\" >period_id</th>\n",
       "      <td id=\"T_aabf5_row13_col0\" class=\"data row13 col0\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row13_col1\" class=\"data row13 col1\" >0.17</td>\n",
       "      <td id=\"T_aabf5_row13_col2\" class=\"data row13 col2\" >0.11</td>\n",
       "      <td id=\"T_aabf5_row13_col3\" class=\"data row13 col3\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row13_col4\" class=\"data row13 col4\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row13_col5\" class=\"data row13 col5\" >0.08</td>\n",
       "      <td id=\"T_aabf5_row13_col6\" class=\"data row13 col6\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row13_col7\" class=\"data row13 col7\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row13_col8\" class=\"data row13 col8\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row13_col9\" class=\"data row13 col9\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row13_col10\" class=\"data row13 col10\" >0.17</td>\n",
       "      <td id=\"T_aabf5_row13_col11\" class=\"data row13 col11\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row13_col12\" class=\"data row13 col12\" >-0.09</td>\n",
       "      <td id=\"T_aabf5_row13_col13\" class=\"data row13 col13\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row13_col14\" class=\"data row13 col14\" >0.11</td>\n",
       "      <td id=\"T_aabf5_row13_col15\" class=\"data row13 col15\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row13_col16\" class=\"data row13 col16\" >-0.09</td>\n",
       "      <td id=\"T_aabf5_row13_col17\" class=\"data row13 col17\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row13_col18\" class=\"data row13 col18\" >-0.17</td>\n",
       "      <td id=\"T_aabf5_row13_col19\" class=\"data row13 col19\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row13_col20\" class=\"data row13 col20\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row13_col21\" class=\"data row13 col21\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row13_col22\" class=\"data row13 col22\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row13_col23\" class=\"data row13 col23\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row13_col24\" class=\"data row13 col24\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row13_col25\" class=\"data row13 col25\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row13_col26\" class=\"data row13 col26\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row13_col27\" class=\"data row13 col27\" >-0.08</td>\n",
       "      <td id=\"T_aabf5_row13_col28\" class=\"data row13 col28\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row13_col29\" class=\"data row13 col29\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row13_col30\" class=\"data row13 col30\" >0.11</td>\n",
       "      <td id=\"T_aabf5_row13_col31\" class=\"data row13 col31\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row13_col32\" class=\"data row13 col32\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row13_col33\" class=\"data row13 col33\" >0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row14\" class=\"row_heading level0 row14\" >rem</th>\n",
       "      <td id=\"T_aabf5_row14_col0\" class=\"data row14 col0\" >0.24</td>\n",
       "      <td id=\"T_aabf5_row14_col1\" class=\"data row14 col1\" >0.55</td>\n",
       "      <td id=\"T_aabf5_row14_col2\" class=\"data row14 col2\" >-0.33</td>\n",
       "      <td id=\"T_aabf5_row14_col3\" class=\"data row14 col3\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row14_col4\" class=\"data row14 col4\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row14_col5\" class=\"data row14 col5\" >0.80</td>\n",
       "      <td id=\"T_aabf5_row14_col6\" class=\"data row14 col6\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row14_col7\" class=\"data row14 col7\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row14_col8\" class=\"data row14 col8\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row14_col9\" class=\"data row14 col9\" >0.57</td>\n",
       "      <td id=\"T_aabf5_row14_col10\" class=\"data row14 col10\" >0.19</td>\n",
       "      <td id=\"T_aabf5_row14_col11\" class=\"data row14 col11\" >0.79</td>\n",
       "      <td id=\"T_aabf5_row14_col12\" class=\"data row14 col12\" >-0.11</td>\n",
       "      <td id=\"T_aabf5_row14_col13\" class=\"data row14 col13\" >0.11</td>\n",
       "      <td id=\"T_aabf5_row14_col14\" class=\"data row14 col14\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row14_col15\" class=\"data row14 col15\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row14_col16\" class=\"data row14 col16\" >-0.22</td>\n",
       "      <td id=\"T_aabf5_row14_col17\" class=\"data row14 col17\" >0.71</td>\n",
       "      <td id=\"T_aabf5_row14_col18\" class=\"data row14 col18\" >-0.29</td>\n",
       "      <td id=\"T_aabf5_row14_col19\" class=\"data row14 col19\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row14_col20\" class=\"data row14 col20\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row14_col21\" class=\"data row14 col21\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row14_col22\" class=\"data row14 col22\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row14_col23\" class=\"data row14 col23\" >0.74</td>\n",
       "      <td id=\"T_aabf5_row14_col24\" class=\"data row14 col24\" >0.79</td>\n",
       "      <td id=\"T_aabf5_row14_col25\" class=\"data row14 col25\" >0.32</td>\n",
       "      <td id=\"T_aabf5_row14_col26\" class=\"data row14 col26\" >0.32</td>\n",
       "      <td id=\"T_aabf5_row14_col27\" class=\"data row14 col27\" >-0.09</td>\n",
       "      <td id=\"T_aabf5_row14_col28\" class=\"data row14 col28\" >0.85</td>\n",
       "      <td id=\"T_aabf5_row14_col29\" class=\"data row14 col29\" >0.21</td>\n",
       "      <td id=\"T_aabf5_row14_col30\" class=\"data row14 col30\" >0.40</td>\n",
       "      <td id=\"T_aabf5_row14_col31\" class=\"data row14 col31\" >0.45</td>\n",
       "      <td id=\"T_aabf5_row14_col32\" class=\"data row14 col32\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row14_col33\" class=\"data row14 col33\" >0.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row15\" class=\"row_heading level0 row15\" >restless</th>\n",
       "      <td id=\"T_aabf5_row15_col0\" class=\"data row15 col0\" >0.17</td>\n",
       "      <td id=\"T_aabf5_row15_col1\" class=\"data row15 col1\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row15_col2\" class=\"data row15 col2\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row15_col3\" class=\"data row15 col3\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row15_col4\" class=\"data row15 col4\" >-0.18</td>\n",
       "      <td id=\"T_aabf5_row15_col5\" class=\"data row15 col5\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row15_col6\" class=\"data row15 col6\" >-0.23</td>\n",
       "      <td id=\"T_aabf5_row15_col7\" class=\"data row15 col7\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row15_col8\" class=\"data row15 col8\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row15_col9\" class=\"data row15 col9\" >0.14</td>\n",
       "      <td id=\"T_aabf5_row15_col10\" class=\"data row15 col10\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row15_col11\" class=\"data row15 col11\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row15_col12\" class=\"data row15 col12\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row15_col13\" class=\"data row15 col13\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row15_col14\" class=\"data row15 col14\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row15_col15\" class=\"data row15 col15\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row15_col16\" class=\"data row15 col16\" >0.22</td>\n",
       "      <td id=\"T_aabf5_row15_col17\" class=\"data row15 col17\" >-0.11</td>\n",
       "      <td id=\"T_aabf5_row15_col18\" class=\"data row15 col18\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row15_col19\" class=\"data row15 col19\" >-0.18</td>\n",
       "      <td id=\"T_aabf5_row15_col20\" class=\"data row15 col20\" >-0.63</td>\n",
       "      <td id=\"T_aabf5_row15_col21\" class=\"data row15 col21\" >-0.20</td>\n",
       "      <td id=\"T_aabf5_row15_col22\" class=\"data row15 col22\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row15_col23\" class=\"data row15 col23\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row15_col24\" class=\"data row15 col24\" >0.00</td>\n",
       "      <td id=\"T_aabf5_row15_col25\" class=\"data row15 col25\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row15_col26\" class=\"data row15 col26\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row15_col27\" class=\"data row15 col27\" >0.17</td>\n",
       "      <td id=\"T_aabf5_row15_col28\" class=\"data row15 col28\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row15_col29\" class=\"data row15 col29\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row15_col30\" class=\"data row15 col30\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row15_col31\" class=\"data row15 col31\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row15_col32\" class=\"data row15 col32\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row15_col33\" class=\"data row15 col33\" >-0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row16\" class=\"row_heading level0 row16\" >rmssd</th>\n",
       "      <td id=\"T_aabf5_row16_col0\" class=\"data row16 col0\" >0.11</td>\n",
       "      <td id=\"T_aabf5_row16_col1\" class=\"data row16 col1\" >-0.20</td>\n",
       "      <td id=\"T_aabf5_row16_col2\" class=\"data row16 col2\" >-0.23</td>\n",
       "      <td id=\"T_aabf5_row16_col3\" class=\"data row16 col3\" >-0.45</td>\n",
       "      <td id=\"T_aabf5_row16_col4\" class=\"data row16 col4\" >0.35</td>\n",
       "      <td id=\"T_aabf5_row16_col5\" class=\"data row16 col5\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row16_col6\" class=\"data row16 col6\" >-0.17</td>\n",
       "      <td id=\"T_aabf5_row16_col7\" class=\"data row16 col7\" >-0.65</td>\n",
       "      <td id=\"T_aabf5_row16_col8\" class=\"data row16 col8\" >-0.59</td>\n",
       "      <td id=\"T_aabf5_row16_col9\" class=\"data row16 col9\" >-0.14</td>\n",
       "      <td id=\"T_aabf5_row16_col10\" class=\"data row16 col10\" >-0.27</td>\n",
       "      <td id=\"T_aabf5_row16_col11\" class=\"data row16 col11\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row16_col12\" class=\"data row16 col12\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row16_col13\" class=\"data row16 col13\" >-0.09</td>\n",
       "      <td id=\"T_aabf5_row16_col14\" class=\"data row16 col14\" >-0.22</td>\n",
       "      <td id=\"T_aabf5_row16_col15\" class=\"data row16 col15\" >0.22</td>\n",
       "      <td id=\"T_aabf5_row16_col16\" class=\"data row16 col16\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row16_col17\" class=\"data row16 col17\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row16_col18\" class=\"data row16 col18\" >0.24</td>\n",
       "      <td id=\"T_aabf5_row16_col19\" class=\"data row16 col19\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row16_col20\" class=\"data row16 col20\" >-0.12</td>\n",
       "      <td id=\"T_aabf5_row16_col21\" class=\"data row16 col21\" >-0.12</td>\n",
       "      <td id=\"T_aabf5_row16_col22\" class=\"data row16 col22\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row16_col23\" class=\"data row16 col23\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row16_col24\" class=\"data row16 col24\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row16_col25\" class=\"data row16 col25\" >-0.30</td>\n",
       "      <td id=\"T_aabf5_row16_col26\" class=\"data row16 col26\" >-0.30</td>\n",
       "      <td id=\"T_aabf5_row16_col27\" class=\"data row16 col27\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row16_col28\" class=\"data row16 col28\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row16_col29\" class=\"data row16 col29\" >-0.22</td>\n",
       "      <td id=\"T_aabf5_row16_col30\" class=\"data row16 col30\" >-0.15</td>\n",
       "      <td id=\"T_aabf5_row16_col31\" class=\"data row16 col31\" >-0.21</td>\n",
       "      <td id=\"T_aabf5_row16_col32\" class=\"data row16 col32\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row16_col33\" class=\"data row16 col33\" >-0.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row17\" class=\"row_heading level0 row17\" >score</th>\n",
       "      <td id=\"T_aabf5_row17_col0\" class=\"data row17 col0\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row17_col1\" class=\"data row17 col1\" >0.20</td>\n",
       "      <td id=\"T_aabf5_row17_col2\" class=\"data row17 col2\" >-0.63</td>\n",
       "      <td id=\"T_aabf5_row17_col3\" class=\"data row17 col3\" >-0.08</td>\n",
       "      <td id=\"T_aabf5_row17_col4\" class=\"data row17 col4\" >0.22</td>\n",
       "      <td id=\"T_aabf5_row17_col5\" class=\"data row17 col5\" >0.70</td>\n",
       "      <td id=\"T_aabf5_row17_col6\" class=\"data row17 col6\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row17_col7\" class=\"data row17 col7\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row17_col8\" class=\"data row17 col8\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row17_col9\" class=\"data row17 col9\" >0.60</td>\n",
       "      <td id=\"T_aabf5_row17_col10\" class=\"data row17 col10\" >-0.20</td>\n",
       "      <td id=\"T_aabf5_row17_col11\" class=\"data row17 col11\" >0.69</td>\n",
       "      <td id=\"T_aabf5_row17_col12\" class=\"data row17 col12\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row17_col13\" class=\"data row17 col13\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row17_col14\" class=\"data row17 col14\" >0.71</td>\n",
       "      <td id=\"T_aabf5_row17_col15\" class=\"data row17 col15\" >-0.11</td>\n",
       "      <td id=\"T_aabf5_row17_col16\" class=\"data row17 col16\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row17_col17\" class=\"data row17 col17\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row17_col18\" class=\"data row17 col18\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row17_col19\" class=\"data row17 col19\" >0.25</td>\n",
       "      <td id=\"T_aabf5_row17_col20\" class=\"data row17 col20\" >0.18</td>\n",
       "      <td id=\"T_aabf5_row17_col21\" class=\"data row17 col21\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row17_col22\" class=\"data row17 col22\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row17_col23\" class=\"data row17 col23\" >0.82</td>\n",
       "      <td id=\"T_aabf5_row17_col24\" class=\"data row17 col24\" >0.89</td>\n",
       "      <td id=\"T_aabf5_row17_col25\" class=\"data row17 col25\" >0.30</td>\n",
       "      <td id=\"T_aabf5_row17_col26\" class=\"data row17 col26\" >0.30</td>\n",
       "      <td id=\"T_aabf5_row17_col27\" class=\"data row17 col27\" >-0.19</td>\n",
       "      <td id=\"T_aabf5_row17_col28\" class=\"data row17 col28\" >0.79</td>\n",
       "      <td id=\"T_aabf5_row17_col29\" class=\"data row17 col29\" >0.20</td>\n",
       "      <td id=\"T_aabf5_row17_col30\" class=\"data row17 col30\" >0.22</td>\n",
       "      <td id=\"T_aabf5_row17_col31\" class=\"data row17 col31\" >0.21</td>\n",
       "      <td id=\"T_aabf5_row17_col32\" class=\"data row17 col32\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row17_col33\" class=\"data row17 col33\" >0.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row18\" class=\"row_heading level0 row18\" >score_alignment</th>\n",
       "      <td id=\"T_aabf5_row18_col0\" class=\"data row18 col0\" >-0.23</td>\n",
       "      <td id=\"T_aabf5_row18_col1\" class=\"data row18 col1\" >-0.87</td>\n",
       "      <td id=\"T_aabf5_row18_col2\" class=\"data row18 col2\" >-0.67</td>\n",
       "      <td id=\"T_aabf5_row18_col3\" class=\"data row18 col3\" >-0.12</td>\n",
       "      <td id=\"T_aabf5_row18_col4\" class=\"data row18 col4\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row18_col5\" class=\"data row18 col5\" >-0.31</td>\n",
       "      <td id=\"T_aabf5_row18_col6\" class=\"data row18 col6\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row18_col7\" class=\"data row18 col7\" >-0.38</td>\n",
       "      <td id=\"T_aabf5_row18_col8\" class=\"data row18 col8\" >-0.25</td>\n",
       "      <td id=\"T_aabf5_row18_col9\" class=\"data row18 col9\" >-0.21</td>\n",
       "      <td id=\"T_aabf5_row18_col10\" class=\"data row18 col10\" >-0.94</td>\n",
       "      <td id=\"T_aabf5_row18_col11\" class=\"data row18 col11\" >-0.32</td>\n",
       "      <td id=\"T_aabf5_row18_col12\" class=\"data row18 col12\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row18_col13\" class=\"data row18 col13\" >-0.17</td>\n",
       "      <td id=\"T_aabf5_row18_col14\" class=\"data row18 col14\" >-0.29</td>\n",
       "      <td id=\"T_aabf5_row18_col15\" class=\"data row18 col15\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row18_col16\" class=\"data row18 col16\" >0.24</td>\n",
       "      <td id=\"T_aabf5_row18_col17\" class=\"data row18 col17\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row18_col18\" class=\"data row18 col18\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row18_col19\" class=\"data row18 col19\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row18_col20\" class=\"data row18 col20\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row18_col21\" class=\"data row18 col21\" >0.17</td>\n",
       "      <td id=\"T_aabf5_row18_col22\" class=\"data row18 col22\" >0.00</td>\n",
       "      <td id=\"T_aabf5_row18_col23\" class=\"data row18 col23\" >-0.12</td>\n",
       "      <td id=\"T_aabf5_row18_col24\" class=\"data row18 col24\" >-0.27</td>\n",
       "      <td id=\"T_aabf5_row18_col25\" class=\"data row18 col25\" >-0.17</td>\n",
       "      <td id=\"T_aabf5_row18_col26\" class=\"data row18 col26\" >-0.17</td>\n",
       "      <td id=\"T_aabf5_row18_col27\" class=\"data row18 col27\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row18_col28\" class=\"data row18 col28\" >-0.29</td>\n",
       "      <td id=\"T_aabf5_row18_col29\" class=\"data row18 col29\" >-0.13</td>\n",
       "      <td id=\"T_aabf5_row18_col30\" class=\"data row18 col30\" >-0.54</td>\n",
       "      <td id=\"T_aabf5_row18_col31\" class=\"data row18 col31\" >-0.64</td>\n",
       "      <td id=\"T_aabf5_row18_col32\" class=\"data row18 col32\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row18_col33\" class=\"data row18 col33\" >-0.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row19\" class=\"row_heading level0 row19\" >score_deep</th>\n",
       "      <td id=\"T_aabf5_row19_col0\" class=\"data row19 col0\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row19_col1\" class=\"data row19 col1\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row19_col2\" class=\"data row19 col2\" >-0.08</td>\n",
       "      <td id=\"T_aabf5_row19_col3\" class=\"data row19 col3\" >-0.23</td>\n",
       "      <td id=\"T_aabf5_row19_col4\" class=\"data row19 col4\" >0.60</td>\n",
       "      <td id=\"T_aabf5_row19_col5\" class=\"data row19 col5\" >0.08</td>\n",
       "      <td id=\"T_aabf5_row19_col6\" class=\"data row19 col6\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row19_col7\" class=\"data row19 col7\" >-0.16</td>\n",
       "      <td id=\"T_aabf5_row19_col8\" class=\"data row19 col8\" >-0.17</td>\n",
       "      <td id=\"T_aabf5_row19_col9\" class=\"data row19 col9\" >-0.22</td>\n",
       "      <td id=\"T_aabf5_row19_col10\" class=\"data row19 col10\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row19_col11\" class=\"data row19 col11\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row19_col12\" class=\"data row19 col12\" >-0.08</td>\n",
       "      <td id=\"T_aabf5_row19_col13\" class=\"data row19 col13\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row19_col14\" class=\"data row19 col14\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row19_col15\" class=\"data row19 col15\" >-0.18</td>\n",
       "      <td id=\"T_aabf5_row19_col16\" class=\"data row19 col16\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row19_col17\" class=\"data row19 col17\" >0.25</td>\n",
       "      <td id=\"T_aabf5_row19_col18\" class=\"data row19 col18\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row19_col19\" class=\"data row19 col19\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row19_col20\" class=\"data row19 col20\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row19_col21\" class=\"data row19 col21\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row19_col22\" class=\"data row19 col22\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row19_col23\" class=\"data row19 col23\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row19_col24\" class=\"data row19 col24\" >0.16</td>\n",
       "      <td id=\"T_aabf5_row19_col25\" class=\"data row19 col25\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row19_col26\" class=\"data row19 col26\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row19_col27\" class=\"data row19 col27\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row19_col28\" class=\"data row19 col28\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row19_col29\" class=\"data row19 col29\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row19_col30\" class=\"data row19 col30\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row19_col31\" class=\"data row19 col31\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row19_col32\" class=\"data row19 col32\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row19_col33\" class=\"data row19 col33\" >0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row20\" class=\"row_heading level0 row20\" >score_disturbances</th>\n",
       "      <td id=\"T_aabf5_row20_col0\" class=\"data row20 col0\" >-0.27</td>\n",
       "      <td id=\"T_aabf5_row20_col1\" class=\"data row20 col1\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row20_col2\" class=\"data row20 col2\" >0.08</td>\n",
       "      <td id=\"T_aabf5_row20_col3\" class=\"data row20 col3\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row20_col4\" class=\"data row20 col4\" >0.08</td>\n",
       "      <td id=\"T_aabf5_row20_col5\" class=\"data row20 col5\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row20_col6\" class=\"data row20 col6\" >0.32</td>\n",
       "      <td id=\"T_aabf5_row20_col7\" class=\"data row20 col7\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row20_col8\" class=\"data row20 col8\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row20_col9\" class=\"data row20 col9\" >-0.11</td>\n",
       "      <td id=\"T_aabf5_row20_col10\" class=\"data row20 col10\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row20_col11\" class=\"data row20 col11\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row20_col12\" class=\"data row20 col12\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row20_col13\" class=\"data row20 col13\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row20_col14\" class=\"data row20 col14\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row20_col15\" class=\"data row20 col15\" >-0.63</td>\n",
       "      <td id=\"T_aabf5_row20_col16\" class=\"data row20 col16\" >-0.12</td>\n",
       "      <td id=\"T_aabf5_row20_col17\" class=\"data row20 col17\" >0.18</td>\n",
       "      <td id=\"T_aabf5_row20_col18\" class=\"data row20 col18\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row20_col19\" class=\"data row20 col19\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row20_col20\" class=\"data row20 col20\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row20_col21\" class=\"data row20 col21\" >0.30</td>\n",
       "      <td id=\"T_aabf5_row20_col22\" class=\"data row20 col22\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row20_col23\" class=\"data row20 col23\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row20_col24\" class=\"data row20 col24\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row20_col25\" class=\"data row20 col25\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row20_col26\" class=\"data row20 col26\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row20_col27\" class=\"data row20 col27\" >-0.17</td>\n",
       "      <td id=\"T_aabf5_row20_col28\" class=\"data row20 col28\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row20_col29\" class=\"data row20 col29\" >-0.09</td>\n",
       "      <td id=\"T_aabf5_row20_col30\" class=\"data row20 col30\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row20_col31\" class=\"data row20 col31\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row20_col32\" class=\"data row20 col32\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row20_col33\" class=\"data row20 col33\" >0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row21\" class=\"row_heading level0 row21\" >score_efficiency</th>\n",
       "      <td id=\"T_aabf5_row21_col0\" class=\"data row21 col0\" >-0.86</td>\n",
       "      <td id=\"T_aabf5_row21_col1\" class=\"data row21 col1\" >-0.29</td>\n",
       "      <td id=\"T_aabf5_row21_col2\" class=\"data row21 col2\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row21_col3\" class=\"data row21 col3\" >0.11</td>\n",
       "      <td id=\"T_aabf5_row21_col4\" class=\"data row21 col4\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row21_col5\" class=\"data row21 col5\" >-0.28</td>\n",
       "      <td id=\"T_aabf5_row21_col6\" class=\"data row21 col6\" >0.91</td>\n",
       "      <td id=\"T_aabf5_row21_col7\" class=\"data row21 col7\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row21_col8\" class=\"data row21 col8\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row21_col9\" class=\"data row21 col9\" >-0.09</td>\n",
       "      <td id=\"T_aabf5_row21_col10\" class=\"data row21 col10\" >-0.20</td>\n",
       "      <td id=\"T_aabf5_row21_col11\" class=\"data row21 col11\" >-0.29</td>\n",
       "      <td id=\"T_aabf5_row21_col12\" class=\"data row21 col12\" >-0.20</td>\n",
       "      <td id=\"T_aabf5_row21_col13\" class=\"data row21 col13\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row21_col14\" class=\"data row21 col14\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row21_col15\" class=\"data row21 col15\" >-0.20</td>\n",
       "      <td id=\"T_aabf5_row21_col16\" class=\"data row21 col16\" >-0.12</td>\n",
       "      <td id=\"T_aabf5_row21_col17\" class=\"data row21 col17\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row21_col18\" class=\"data row21 col18\" >0.17</td>\n",
       "      <td id=\"T_aabf5_row21_col19\" class=\"data row21 col19\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row21_col20\" class=\"data row21 col20\" >0.30</td>\n",
       "      <td id=\"T_aabf5_row21_col21\" class=\"data row21 col21\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row21_col22\" class=\"data row21 col22\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row21_col23\" class=\"data row21 col23\" >0.19</td>\n",
       "      <td id=\"T_aabf5_row21_col24\" class=\"data row21 col24\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row21_col25\" class=\"data row21 col25\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row21_col26\" class=\"data row21 col26\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row21_col27\" class=\"data row21 col27\" >-0.08</td>\n",
       "      <td id=\"T_aabf5_row21_col28\" class=\"data row21 col28\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row21_col29\" class=\"data row21 col29\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row21_col30\" class=\"data row21 col30\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row21_col31\" class=\"data row21 col31\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row21_col32\" class=\"data row21 col32\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row21_col33\" class=\"data row21 col33\" >-0.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row22\" class=\"row_heading level0 row22\" >score_latency</th>\n",
       "      <td id=\"T_aabf5_row22_col0\" class=\"data row22 col0\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row22_col1\" class=\"data row22 col1\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row22_col2\" class=\"data row22 col2\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row22_col3\" class=\"data row22 col3\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row22_col4\" class=\"data row22 col4\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row22_col5\" class=\"data row22 col5\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row22_col6\" class=\"data row22 col6\" >-0.16</td>\n",
       "      <td id=\"T_aabf5_row22_col7\" class=\"data row22 col7\" >0.00</td>\n",
       "      <td id=\"T_aabf5_row22_col8\" class=\"data row22 col8\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row22_col9\" class=\"data row22 col9\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row22_col10\" class=\"data row22 col10\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row22_col11\" class=\"data row22 col11\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row22_col12\" class=\"data row22 col12\" >0.65</td>\n",
       "      <td id=\"T_aabf5_row22_col13\" class=\"data row22 col13\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row22_col14\" class=\"data row22 col14\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row22_col15\" class=\"data row22 col15\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row22_col16\" class=\"data row22 col16\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row22_col17\" class=\"data row22 col17\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row22_col18\" class=\"data row22 col18\" >0.00</td>\n",
       "      <td id=\"T_aabf5_row22_col19\" class=\"data row22 col19\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row22_col20\" class=\"data row22 col20\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row22_col21\" class=\"data row22 col21\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row22_col22\" class=\"data row22 col22\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row22_col23\" class=\"data row22 col23\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row22_col24\" class=\"data row22 col24\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row22_col25\" class=\"data row22 col25\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row22_col26\" class=\"data row22 col26\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row22_col27\" class=\"data row22 col27\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row22_col28\" class=\"data row22 col28\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row22_col29\" class=\"data row22 col29\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row22_col30\" class=\"data row22 col30\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row22_col31\" class=\"data row22 col31\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row22_col32\" class=\"data row22 col32\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row22_col33\" class=\"data row22 col33\" >-0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row23\" class=\"row_heading level0 row23\" >score_rem</th>\n",
       "      <td id=\"T_aabf5_row23_col0\" class=\"data row23 col0\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row23_col1\" class=\"data row23 col1\" >0.31</td>\n",
       "      <td id=\"T_aabf5_row23_col2\" class=\"data row23 col2\" >-0.38</td>\n",
       "      <td id=\"T_aabf5_row23_col3\" class=\"data row23 col3\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row23_col4\" class=\"data row23 col4\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row23_col5\" class=\"data row23 col5\" >0.60</td>\n",
       "      <td id=\"T_aabf5_row23_col6\" class=\"data row23 col6\" >0.16</td>\n",
       "      <td id=\"T_aabf5_row23_col7\" class=\"data row23 col7\" >0.16</td>\n",
       "      <td id=\"T_aabf5_row23_col8\" class=\"data row23 col8\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row23_col9\" class=\"data row23 col9\" >0.45</td>\n",
       "      <td id=\"T_aabf5_row23_col10\" class=\"data row23 col10\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row23_col11\" class=\"data row23 col11\" >0.60</td>\n",
       "      <td id=\"T_aabf5_row23_col12\" class=\"data row23 col12\" >-0.12</td>\n",
       "      <td id=\"T_aabf5_row23_col13\" class=\"data row23 col13\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row23_col14\" class=\"data row23 col14\" >0.74</td>\n",
       "      <td id=\"T_aabf5_row23_col15\" class=\"data row23 col15\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row23_col16\" class=\"data row23 col16\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row23_col17\" class=\"data row23 col17\" >0.82</td>\n",
       "      <td id=\"T_aabf5_row23_col18\" class=\"data row23 col18\" >-0.12</td>\n",
       "      <td id=\"T_aabf5_row23_col19\" class=\"data row23 col19\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row23_col20\" class=\"data row23 col20\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row23_col21\" class=\"data row23 col21\" >0.19</td>\n",
       "      <td id=\"T_aabf5_row23_col22\" class=\"data row23 col22\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row23_col23\" class=\"data row23 col23\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row23_col24\" class=\"data row23 col24\" >0.78</td>\n",
       "      <td id=\"T_aabf5_row23_col25\" class=\"data row23 col25\" >0.27</td>\n",
       "      <td id=\"T_aabf5_row23_col26\" class=\"data row23 col26\" >0.27</td>\n",
       "      <td id=\"T_aabf5_row23_col27\" class=\"data row23 col27\" >-0.16</td>\n",
       "      <td id=\"T_aabf5_row23_col28\" class=\"data row23 col28\" >0.66</td>\n",
       "      <td id=\"T_aabf5_row23_col29\" class=\"data row23 col29\" >0.16</td>\n",
       "      <td id=\"T_aabf5_row23_col30\" class=\"data row23 col30\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row23_col31\" class=\"data row23 col31\" >0.27</td>\n",
       "      <td id=\"T_aabf5_row23_col32\" class=\"data row23 col32\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row23_col33\" class=\"data row23 col33\" >0.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row24\" class=\"row_heading level0 row24\" >score_total</th>\n",
       "      <td id=\"T_aabf5_row24_col0\" class=\"data row24 col0\" >0.29</td>\n",
       "      <td id=\"T_aabf5_row24_col1\" class=\"data row24 col1\" >0.56</td>\n",
       "      <td id=\"T_aabf5_row24_col2\" class=\"data row24 col2\" >-0.43</td>\n",
       "      <td id=\"T_aabf5_row24_col3\" class=\"data row24 col3\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row24_col4\" class=\"data row24 col4\" >0.21</td>\n",
       "      <td id=\"T_aabf5_row24_col5\" class=\"data row24 col5\" >0.88</td>\n",
       "      <td id=\"T_aabf5_row24_col6\" class=\"data row24 col6\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row24_col7\" class=\"data row24 col7\" >0.21</td>\n",
       "      <td id=\"T_aabf5_row24_col8\" class=\"data row24 col8\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row24_col9\" class=\"data row24 col9\" >0.75</td>\n",
       "      <td id=\"T_aabf5_row24_col10\" class=\"data row24 col10\" >0.15</td>\n",
       "      <td id=\"T_aabf5_row24_col11\" class=\"data row24 col11\" >0.87</td>\n",
       "      <td id=\"T_aabf5_row24_col12\" class=\"data row24 col12\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row24_col13\" class=\"data row24 col13\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row24_col14\" class=\"data row24 col14\" >0.79</td>\n",
       "      <td id=\"T_aabf5_row24_col15\" class=\"data row24 col15\" >0.00</td>\n",
       "      <td id=\"T_aabf5_row24_col16\" class=\"data row24 col16\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row24_col17\" class=\"data row24 col17\" >0.89</td>\n",
       "      <td id=\"T_aabf5_row24_col18\" class=\"data row24 col18\" >-0.27</td>\n",
       "      <td id=\"T_aabf5_row24_col19\" class=\"data row24 col19\" >0.16</td>\n",
       "      <td id=\"T_aabf5_row24_col20\" class=\"data row24 col20\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row24_col21\" class=\"data row24 col21\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row24_col22\" class=\"data row24 col22\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row24_col23\" class=\"data row24 col23\" >0.78</td>\n",
       "      <td id=\"T_aabf5_row24_col24\" class=\"data row24 col24\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row24_col25\" class=\"data row24 col25\" >0.35</td>\n",
       "      <td id=\"T_aabf5_row24_col26\" class=\"data row24 col26\" >0.35</td>\n",
       "      <td id=\"T_aabf5_row24_col27\" class=\"data row24 col27\" >-0.13</td>\n",
       "      <td id=\"T_aabf5_row24_col28\" class=\"data row24 col28\" >0.93</td>\n",
       "      <td id=\"T_aabf5_row24_col29\" class=\"data row24 col29\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row24_col30\" class=\"data row24 col30\" >0.42</td>\n",
       "      <td id=\"T_aabf5_row24_col31\" class=\"data row24 col31\" >0.47</td>\n",
       "      <td id=\"T_aabf5_row24_col32\" class=\"data row24 col32\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row24_col33\" class=\"data row24 col33\" >0.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row25\" class=\"row_heading level0 row25\" >temperature_delta</th>\n",
       "      <td id=\"T_aabf5_row25_col0\" class=\"data row25 col0\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row25_col1\" class=\"data row25 col1\" >0.24</td>\n",
       "      <td id=\"T_aabf5_row25_col2\" class=\"data row25 col2\" >-0.09</td>\n",
       "      <td id=\"T_aabf5_row25_col3\" class=\"data row25 col3\" >0.39</td>\n",
       "      <td id=\"T_aabf5_row25_col4\" class=\"data row25 col4\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row25_col5\" class=\"data row25 col5\" >0.31</td>\n",
       "      <td id=\"T_aabf5_row25_col6\" class=\"data row25 col6\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row25_col7\" class=\"data row25 col7\" >0.50</td>\n",
       "      <td id=\"T_aabf5_row25_col8\" class=\"data row25 col8\" >0.33</td>\n",
       "      <td id=\"T_aabf5_row25_col9\" class=\"data row25 col9\" >0.33</td>\n",
       "      <td id=\"T_aabf5_row25_col10\" class=\"data row25 col10\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row25_col11\" class=\"data row25 col11\" >0.33</td>\n",
       "      <td id=\"T_aabf5_row25_col12\" class=\"data row25 col12\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row25_col13\" class=\"data row25 col13\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row25_col14\" class=\"data row25 col14\" >0.32</td>\n",
       "      <td id=\"T_aabf5_row25_col15\" class=\"data row25 col15\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row25_col16\" class=\"data row25 col16\" >-0.30</td>\n",
       "      <td id=\"T_aabf5_row25_col17\" class=\"data row25 col17\" >0.30</td>\n",
       "      <td id=\"T_aabf5_row25_col18\" class=\"data row25 col18\" >-0.17</td>\n",
       "      <td id=\"T_aabf5_row25_col19\" class=\"data row25 col19\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row25_col20\" class=\"data row25 col20\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row25_col21\" class=\"data row25 col21\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row25_col22\" class=\"data row25 col22\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row25_col23\" class=\"data row25 col23\" >0.27</td>\n",
       "      <td id=\"T_aabf5_row25_col24\" class=\"data row25 col24\" >0.35</td>\n",
       "      <td id=\"T_aabf5_row25_col25\" class=\"data row25 col25\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row25_col26\" class=\"data row25 col26\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row25_col27\" class=\"data row25 col27\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row25_col28\" class=\"data row25 col28\" >0.34</td>\n",
       "      <td id=\"T_aabf5_row25_col29\" class=\"data row25 col29\" >0.70</td>\n",
       "      <td id=\"T_aabf5_row25_col30\" class=\"data row25 col30\" >0.22</td>\n",
       "      <td id=\"T_aabf5_row25_col31\" class=\"data row25 col31\" >0.28</td>\n",
       "      <td id=\"T_aabf5_row25_col32\" class=\"data row25 col32\" >0.00</td>\n",
       "      <td id=\"T_aabf5_row25_col33\" class=\"data row25 col33\" >0.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row26\" class=\"row_heading level0 row26\" >temperature_deviation</th>\n",
       "      <td id=\"T_aabf5_row26_col0\" class=\"data row26 col0\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row26_col1\" class=\"data row26 col1\" >0.24</td>\n",
       "      <td id=\"T_aabf5_row26_col2\" class=\"data row26 col2\" >-0.09</td>\n",
       "      <td id=\"T_aabf5_row26_col3\" class=\"data row26 col3\" >0.39</td>\n",
       "      <td id=\"T_aabf5_row26_col4\" class=\"data row26 col4\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row26_col5\" class=\"data row26 col5\" >0.31</td>\n",
       "      <td id=\"T_aabf5_row26_col6\" class=\"data row26 col6\" >0.07</td>\n",
       "      <td id=\"T_aabf5_row26_col7\" class=\"data row26 col7\" >0.50</td>\n",
       "      <td id=\"T_aabf5_row26_col8\" class=\"data row26 col8\" >0.33</td>\n",
       "      <td id=\"T_aabf5_row26_col9\" class=\"data row26 col9\" >0.33</td>\n",
       "      <td id=\"T_aabf5_row26_col10\" class=\"data row26 col10\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row26_col11\" class=\"data row26 col11\" >0.33</td>\n",
       "      <td id=\"T_aabf5_row26_col12\" class=\"data row26 col12\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row26_col13\" class=\"data row26 col13\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row26_col14\" class=\"data row26 col14\" >0.32</td>\n",
       "      <td id=\"T_aabf5_row26_col15\" class=\"data row26 col15\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row26_col16\" class=\"data row26 col16\" >-0.30</td>\n",
       "      <td id=\"T_aabf5_row26_col17\" class=\"data row26 col17\" >0.30</td>\n",
       "      <td id=\"T_aabf5_row26_col18\" class=\"data row26 col18\" >-0.17</td>\n",
       "      <td id=\"T_aabf5_row26_col19\" class=\"data row26 col19\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row26_col20\" class=\"data row26 col20\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row26_col21\" class=\"data row26 col21\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row26_col22\" class=\"data row26 col22\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row26_col23\" class=\"data row26 col23\" >0.27</td>\n",
       "      <td id=\"T_aabf5_row26_col24\" class=\"data row26 col24\" >0.35</td>\n",
       "      <td id=\"T_aabf5_row26_col25\" class=\"data row26 col25\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row26_col26\" class=\"data row26 col26\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row26_col27\" class=\"data row26 col27\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row26_col28\" class=\"data row26 col28\" >0.34</td>\n",
       "      <td id=\"T_aabf5_row26_col29\" class=\"data row26 col29\" >0.70</td>\n",
       "      <td id=\"T_aabf5_row26_col30\" class=\"data row26 col30\" >0.22</td>\n",
       "      <td id=\"T_aabf5_row26_col31\" class=\"data row26 col31\" >0.28</td>\n",
       "      <td id=\"T_aabf5_row26_col32\" class=\"data row26 col32\" >0.00</td>\n",
       "      <td id=\"T_aabf5_row26_col33\" class=\"data row26 col33\" >0.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row27\" class=\"row_heading level0 row27\" >timezone</th>\n",
       "      <td id=\"T_aabf5_row27_col0\" class=\"data row27 col0\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row27_col1\" class=\"data row27 col1\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row27_col2\" class=\"data row27 col2\" >0.08</td>\n",
       "      <td id=\"T_aabf5_row27_col3\" class=\"data row27 col3\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row27_col4\" class=\"data row27 col4\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row27_col5\" class=\"data row27 col5\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row27_col6\" class=\"data row27 col6\" >-0.11</td>\n",
       "      <td id=\"T_aabf5_row27_col7\" class=\"data row27 col7\" >-0.11</td>\n",
       "      <td id=\"T_aabf5_row27_col8\" class=\"data row27 col8\" >-0.16</td>\n",
       "      <td id=\"T_aabf5_row27_col9\" class=\"data row27 col9\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row27_col10\" class=\"data row27 col10\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row27_col11\" class=\"data row27 col11\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row27_col12\" class=\"data row27 col12\" >0.00</td>\n",
       "      <td id=\"T_aabf5_row27_col13\" class=\"data row27 col13\" >-0.08</td>\n",
       "      <td id=\"T_aabf5_row27_col14\" class=\"data row27 col14\" >-0.09</td>\n",
       "      <td id=\"T_aabf5_row27_col15\" class=\"data row27 col15\" >0.17</td>\n",
       "      <td id=\"T_aabf5_row27_col16\" class=\"data row27 col16\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row27_col17\" class=\"data row27 col17\" >-0.19</td>\n",
       "      <td id=\"T_aabf5_row27_col18\" class=\"data row27 col18\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row27_col19\" class=\"data row27 col19\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row27_col20\" class=\"data row27 col20\" >-0.17</td>\n",
       "      <td id=\"T_aabf5_row27_col21\" class=\"data row27 col21\" >-0.08</td>\n",
       "      <td id=\"T_aabf5_row27_col22\" class=\"data row27 col22\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row27_col23\" class=\"data row27 col23\" >-0.16</td>\n",
       "      <td id=\"T_aabf5_row27_col24\" class=\"data row27 col24\" >-0.13</td>\n",
       "      <td id=\"T_aabf5_row27_col25\" class=\"data row27 col25\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row27_col26\" class=\"data row27 col26\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row27_col27\" class=\"data row27 col27\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row27_col28\" class=\"data row27 col28\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row27_col29\" class=\"data row27 col29\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row27_col30\" class=\"data row27 col30\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row27_col31\" class=\"data row27 col31\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row27_col32\" class=\"data row27 col32\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row27_col33\" class=\"data row27 col33\" >-0.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row28\" class=\"row_heading level0 row28\" >total</th>\n",
       "      <td id=\"T_aabf5_row28_col0\" class=\"data row28 col0\" >0.35</td>\n",
       "      <td id=\"T_aabf5_row28_col1\" class=\"data row28 col1\" >0.63</td>\n",
       "      <td id=\"T_aabf5_row28_col2\" class=\"data row28 col2\" >-0.44</td>\n",
       "      <td id=\"T_aabf5_row28_col3\" class=\"data row28 col3\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row28_col4\" class=\"data row28 col4\" >0.22</td>\n",
       "      <td id=\"T_aabf5_row28_col5\" class=\"data row28 col5\" >0.96</td>\n",
       "      <td id=\"T_aabf5_row28_col6\" class=\"data row28 col6\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row28_col7\" class=\"data row28 col7\" >0.23</td>\n",
       "      <td id=\"T_aabf5_row28_col8\" class=\"data row28 col8\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row28_col9\" class=\"data row28 col9\" >0.81</td>\n",
       "      <td id=\"T_aabf5_row28_col10\" class=\"data row28 col10\" >0.19</td>\n",
       "      <td id=\"T_aabf5_row28_col11\" class=\"data row28 col11\" >0.95</td>\n",
       "      <td id=\"T_aabf5_row28_col12\" class=\"data row28 col12\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row28_col13\" class=\"data row28 col13\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row28_col14\" class=\"data row28 col14\" >0.85</td>\n",
       "      <td id=\"T_aabf5_row28_col15\" class=\"data row28 col15\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row28_col16\" class=\"data row28 col16\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row28_col17\" class=\"data row28 col17\" >0.79</td>\n",
       "      <td id=\"T_aabf5_row28_col18\" class=\"data row28 col18\" >-0.29</td>\n",
       "      <td id=\"T_aabf5_row28_col19\" class=\"data row28 col19\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row28_col20\" class=\"data row28 col20\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row28_col21\" class=\"data row28 col21\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row28_col22\" class=\"data row28 col22\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row28_col23\" class=\"data row28 col23\" >0.66</td>\n",
       "      <td id=\"T_aabf5_row28_col24\" class=\"data row28 col24\" >0.93</td>\n",
       "      <td id=\"T_aabf5_row28_col25\" class=\"data row28 col25\" >0.34</td>\n",
       "      <td id=\"T_aabf5_row28_col26\" class=\"data row28 col26\" >0.34</td>\n",
       "      <td id=\"T_aabf5_row28_col27\" class=\"data row28 col27\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row28_col28\" class=\"data row28 col28\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row28_col29\" class=\"data row28 col29\" >0.27</td>\n",
       "      <td id=\"T_aabf5_row28_col30\" class=\"data row28 col30\" >0.46</td>\n",
       "      <td id=\"T_aabf5_row28_col31\" class=\"data row28 col31\" >0.52</td>\n",
       "      <td id=\"T_aabf5_row28_col32\" class=\"data row28 col32\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row28_col33\" class=\"data row28 col33\" >0.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row29\" class=\"row_heading level0 row29\" >temperature_trend_deviation</th>\n",
       "      <td id=\"T_aabf5_row29_col0\" class=\"data row29 col0\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row29_col1\" class=\"data row29 col1\" >0.21</td>\n",
       "      <td id=\"T_aabf5_row29_col2\" class=\"data row29 col2\" >-0.08</td>\n",
       "      <td id=\"T_aabf5_row29_col3\" class=\"data row29 col3\" >0.39</td>\n",
       "      <td id=\"T_aabf5_row29_col4\" class=\"data row29 col4\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row29_col5\" class=\"data row29 col5\" >0.27</td>\n",
       "      <td id=\"T_aabf5_row29_col6\" class=\"data row29 col6\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row29_col7\" class=\"data row29 col7\" >0.36</td>\n",
       "      <td id=\"T_aabf5_row29_col8\" class=\"data row29 col8\" >0.23</td>\n",
       "      <td id=\"T_aabf5_row29_col9\" class=\"data row29 col9\" >0.31</td>\n",
       "      <td id=\"T_aabf5_row29_col10\" class=\"data row29 col10\" >0.11</td>\n",
       "      <td id=\"T_aabf5_row29_col11\" class=\"data row29 col11\" >0.27</td>\n",
       "      <td id=\"T_aabf5_row29_col12\" class=\"data row29 col12\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row29_col13\" class=\"data row29 col13\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row29_col14\" class=\"data row29 col14\" >0.21</td>\n",
       "      <td id=\"T_aabf5_row29_col15\" class=\"data row29 col15\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row29_col16\" class=\"data row29 col16\" >-0.22</td>\n",
       "      <td id=\"T_aabf5_row29_col17\" class=\"data row29 col17\" >0.20</td>\n",
       "      <td id=\"T_aabf5_row29_col18\" class=\"data row29 col18\" >-0.13</td>\n",
       "      <td id=\"T_aabf5_row29_col19\" class=\"data row29 col19\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row29_col20\" class=\"data row29 col20\" >-0.09</td>\n",
       "      <td id=\"T_aabf5_row29_col21\" class=\"data row29 col21\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row29_col22\" class=\"data row29 col22\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row29_col23\" class=\"data row29 col23\" >0.16</td>\n",
       "      <td id=\"T_aabf5_row29_col24\" class=\"data row29 col24\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row29_col25\" class=\"data row29 col25\" >0.70</td>\n",
       "      <td id=\"T_aabf5_row29_col26\" class=\"data row29 col26\" >0.70</td>\n",
       "      <td id=\"T_aabf5_row29_col27\" class=\"data row29 col27\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row29_col28\" class=\"data row29 col28\" >0.27</td>\n",
       "      <td id=\"T_aabf5_row29_col29\" class=\"data row29 col29\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row29_col30\" class=\"data row29 col30\" >0.08</td>\n",
       "      <td id=\"T_aabf5_row29_col31\" class=\"data row29 col31\" >0.19</td>\n",
       "      <td id=\"T_aabf5_row29_col32\" class=\"data row29 col32\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row29_col33\" class=\"data row29 col33\" >0.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row30\" class=\"row_heading level0 row30\" >weekday</th>\n",
       "      <td id=\"T_aabf5_row30_col0\" class=\"data row30 col0\" >0.13</td>\n",
       "      <td id=\"T_aabf5_row30_col1\" class=\"data row30 col1\" >0.60</td>\n",
       "      <td id=\"T_aabf5_row30_col2\" class=\"data row30 col2\" >0.20</td>\n",
       "      <td id=\"T_aabf5_row30_col3\" class=\"data row30 col3\" >0.11</td>\n",
       "      <td id=\"T_aabf5_row30_col4\" class=\"data row30 col4\" >0.18</td>\n",
       "      <td id=\"T_aabf5_row30_col5\" class=\"data row30 col5\" >0.43</td>\n",
       "      <td id=\"T_aabf5_row30_col6\" class=\"data row30 col6\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row30_col7\" class=\"data row30 col7\" >0.38</td>\n",
       "      <td id=\"T_aabf5_row30_col8\" class=\"data row30 col8\" >0.24</td>\n",
       "      <td id=\"T_aabf5_row30_col9\" class=\"data row30 col9\" >0.32</td>\n",
       "      <td id=\"T_aabf5_row30_col10\" class=\"data row30 col10\" >0.50</td>\n",
       "      <td id=\"T_aabf5_row30_col11\" class=\"data row30 col11\" >0.42</td>\n",
       "      <td id=\"T_aabf5_row30_col12\" class=\"data row30 col12\" >-0.12</td>\n",
       "      <td id=\"T_aabf5_row30_col13\" class=\"data row30 col13\" >0.11</td>\n",
       "      <td id=\"T_aabf5_row30_col14\" class=\"data row30 col14\" >0.40</td>\n",
       "      <td id=\"T_aabf5_row30_col15\" class=\"data row30 col15\" >-0.04</td>\n",
       "      <td id=\"T_aabf5_row30_col16\" class=\"data row30 col16\" >-0.15</td>\n",
       "      <td id=\"T_aabf5_row30_col17\" class=\"data row30 col17\" >0.22</td>\n",
       "      <td id=\"T_aabf5_row30_col18\" class=\"data row30 col18\" >-0.54</td>\n",
       "      <td id=\"T_aabf5_row30_col19\" class=\"data row30 col19\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row30_col20\" class=\"data row30 col20\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row30_col21\" class=\"data row30 col21\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row30_col22\" class=\"data row30 col22\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row30_col23\" class=\"data row30 col23\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row30_col24\" class=\"data row30 col24\" >0.42</td>\n",
       "      <td id=\"T_aabf5_row30_col25\" class=\"data row30 col25\" >0.22</td>\n",
       "      <td id=\"T_aabf5_row30_col26\" class=\"data row30 col26\" >0.22</td>\n",
       "      <td id=\"T_aabf5_row30_col27\" class=\"data row30 col27\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row30_col28\" class=\"data row30 col28\" >0.46</td>\n",
       "      <td id=\"T_aabf5_row30_col29\" class=\"data row30 col29\" >0.08</td>\n",
       "      <td id=\"T_aabf5_row30_col30\" class=\"data row30 col30\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row30_col31\" class=\"data row30 col31\" >0.78</td>\n",
       "      <td id=\"T_aabf5_row30_col32\" class=\"data row30 col32\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row30_col33\" class=\"data row30 col33\" >0.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row31\" class=\"row_heading level0 row31\" >weekend</th>\n",
       "      <td id=\"T_aabf5_row31_col0\" class=\"data row31 col0\" >0.16</td>\n",
       "      <td id=\"T_aabf5_row31_col1\" class=\"data row31 col1\" >0.72</td>\n",
       "      <td id=\"T_aabf5_row31_col2\" class=\"data row31 col2\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row31_col3\" class=\"data row31 col3\" >0.23</td>\n",
       "      <td id=\"T_aabf5_row31_col4\" class=\"data row31 col4\" >0.08</td>\n",
       "      <td id=\"T_aabf5_row31_col5\" class=\"data row31 col5\" >0.49</td>\n",
       "      <td id=\"T_aabf5_row31_col6\" class=\"data row31 col6\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row31_col7\" class=\"data row31 col7\" >0.48</td>\n",
       "      <td id=\"T_aabf5_row31_col8\" class=\"data row31 col8\" >0.26</td>\n",
       "      <td id=\"T_aabf5_row31_col9\" class=\"data row31 col9\" >0.43</td>\n",
       "      <td id=\"T_aabf5_row31_col10\" class=\"data row31 col10\" >0.62</td>\n",
       "      <td id=\"T_aabf5_row31_col11\" class=\"data row31 col11\" >0.48</td>\n",
       "      <td id=\"T_aabf5_row31_col12\" class=\"data row31 col12\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row31_col13\" class=\"data row31 col13\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row31_col14\" class=\"data row31 col14\" >0.45</td>\n",
       "      <td id=\"T_aabf5_row31_col15\" class=\"data row31 col15\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row31_col16\" class=\"data row31 col16\" >-0.21</td>\n",
       "      <td id=\"T_aabf5_row31_col17\" class=\"data row31 col17\" >0.21</td>\n",
       "      <td id=\"T_aabf5_row31_col18\" class=\"data row31 col18\" >-0.64</td>\n",
       "      <td id=\"T_aabf5_row31_col19\" class=\"data row31 col19\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row31_col20\" class=\"data row31 col20\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row31_col21\" class=\"data row31 col21\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row31_col22\" class=\"data row31 col22\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row31_col23\" class=\"data row31 col23\" >0.27</td>\n",
       "      <td id=\"T_aabf5_row31_col24\" class=\"data row31 col24\" >0.47</td>\n",
       "      <td id=\"T_aabf5_row31_col25\" class=\"data row31 col25\" >0.28</td>\n",
       "      <td id=\"T_aabf5_row31_col26\" class=\"data row31 col26\" >0.28</td>\n",
       "      <td id=\"T_aabf5_row31_col27\" class=\"data row31 col27\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row31_col28\" class=\"data row31 col28\" >0.52</td>\n",
       "      <td id=\"T_aabf5_row31_col29\" class=\"data row31 col29\" >0.19</td>\n",
       "      <td id=\"T_aabf5_row31_col30\" class=\"data row31 col30\" >0.78</td>\n",
       "      <td id=\"T_aabf5_row31_col31\" class=\"data row31 col31\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row31_col32\" class=\"data row31 col32\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row31_col33\" class=\"data row31 col33\" >0.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row32\" class=\"row_heading level0 row32\" >bedtime_start_hour</th>\n",
       "      <td id=\"T_aabf5_row32_col0\" class=\"data row32 col0\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row32_col1\" class=\"data row32 col1\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row32_col2\" class=\"data row32 col2\" >-0.06</td>\n",
       "      <td id=\"T_aabf5_row32_col3\" class=\"data row32 col3\" >-0.03</td>\n",
       "      <td id=\"T_aabf5_row32_col4\" class=\"data row32 col4\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row32_col5\" class=\"data row32 col5\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row32_col6\" class=\"data row32 col6\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row32_col7\" class=\"data row32 col7\" >-0.01</td>\n",
       "      <td id=\"T_aabf5_row32_col8\" class=\"data row32 col8\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row32_col9\" class=\"data row32 col9\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row32_col10\" class=\"data row32 col10\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row32_col11\" class=\"data row32 col11\" >0.02</td>\n",
       "      <td id=\"T_aabf5_row32_col12\" class=\"data row32 col12\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row32_col13\" class=\"data row32 col13\" >0.06</td>\n",
       "      <td id=\"T_aabf5_row32_col14\" class=\"data row32 col14\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row32_col15\" class=\"data row32 col15\" >-0.02</td>\n",
       "      <td id=\"T_aabf5_row32_col16\" class=\"data row32 col16\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row32_col17\" class=\"data row32 col17\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row32_col18\" class=\"data row32 col18\" >0.09</td>\n",
       "      <td id=\"T_aabf5_row32_col19\" class=\"data row32 col19\" >0.01</td>\n",
       "      <td id=\"T_aabf5_row32_col20\" class=\"data row32 col20\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row32_col21\" class=\"data row32 col21\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row32_col22\" class=\"data row32 col22\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row32_col23\" class=\"data row32 col23\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row32_col24\" class=\"data row32 col24\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row32_col25\" class=\"data row32 col25\" >0.00</td>\n",
       "      <td id=\"T_aabf5_row32_col26\" class=\"data row32 col26\" >0.00</td>\n",
       "      <td id=\"T_aabf5_row32_col27\" class=\"data row32 col27\" >-0.10</td>\n",
       "      <td id=\"T_aabf5_row32_col28\" class=\"data row32 col28\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row32_col29\" class=\"data row32 col29\" >0.05</td>\n",
       "      <td id=\"T_aabf5_row32_col30\" class=\"data row32 col30\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row32_col31\" class=\"data row32 col31\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row32_col32\" class=\"data row32 col32\" >1.00</td>\n",
       "      <td id=\"T_aabf5_row32_col33\" class=\"data row32 col33\" >0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_aabf5_level0_row33\" class=\"row_heading level0 row33\" >bedtime_end_hour</th>\n",
       "      <td id=\"T_aabf5_row33_col0\" class=\"data row33 col0\" >0.40</td>\n",
       "      <td id=\"T_aabf5_row33_col1\" class=\"data row33 col1\" >0.90</td>\n",
       "      <td id=\"T_aabf5_row33_col2\" class=\"data row33 col2\" >0.32</td>\n",
       "      <td id=\"T_aabf5_row33_col3\" class=\"data row33 col3\" >0.04</td>\n",
       "      <td id=\"T_aabf5_row33_col4\" class=\"data row33 col4\" >0.10</td>\n",
       "      <td id=\"T_aabf5_row33_col5\" class=\"data row33 col5\" >0.62</td>\n",
       "      <td id=\"T_aabf5_row33_col6\" class=\"data row33 col6\" >-0.16</td>\n",
       "      <td id=\"T_aabf5_row33_col7\" class=\"data row33 col7\" >0.38</td>\n",
       "      <td id=\"T_aabf5_row33_col8\" class=\"data row33 col8\" >0.23</td>\n",
       "      <td id=\"T_aabf5_row33_col9\" class=\"data row33 col9\" >0.46</td>\n",
       "      <td id=\"T_aabf5_row33_col10\" class=\"data row33 col10\" >0.77</td>\n",
       "      <td id=\"T_aabf5_row33_col11\" class=\"data row33 col11\" >0.61</td>\n",
       "      <td id=\"T_aabf5_row33_col12\" class=\"data row33 col12\" >-0.05</td>\n",
       "      <td id=\"T_aabf5_row33_col13\" class=\"data row33 col13\" >0.19</td>\n",
       "      <td id=\"T_aabf5_row33_col14\" class=\"data row33 col14\" >0.53</td>\n",
       "      <td id=\"T_aabf5_row33_col15\" class=\"data row33 col15\" >-0.07</td>\n",
       "      <td id=\"T_aabf5_row33_col16\" class=\"data row33 col16\" >-0.21</td>\n",
       "      <td id=\"T_aabf5_row33_col17\" class=\"data row33 col17\" >0.24</td>\n",
       "      <td id=\"T_aabf5_row33_col18\" class=\"data row33 col18\" >-0.78</td>\n",
       "      <td id=\"T_aabf5_row33_col19\" class=\"data row33 col19\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row33_col20\" class=\"data row33 col20\" >0.03</td>\n",
       "      <td id=\"T_aabf5_row33_col21\" class=\"data row33 col21\" >-0.23</td>\n",
       "      <td id=\"T_aabf5_row33_col22\" class=\"data row33 col22\" >-0.00</td>\n",
       "      <td id=\"T_aabf5_row33_col23\" class=\"data row33 col23\" >0.33</td>\n",
       "      <td id=\"T_aabf5_row33_col24\" class=\"data row33 col24\" >0.54</td>\n",
       "      <td id=\"T_aabf5_row33_col25\" class=\"data row33 col25\" >0.23</td>\n",
       "      <td id=\"T_aabf5_row33_col26\" class=\"data row33 col26\" >0.23</td>\n",
       "      <td id=\"T_aabf5_row33_col27\" class=\"data row33 col27\" >-0.38</td>\n",
       "      <td id=\"T_aabf5_row33_col28\" class=\"data row33 col28\" >0.58</td>\n",
       "      <td id=\"T_aabf5_row33_col29\" class=\"data row33 col29\" >0.21</td>\n",
       "      <td id=\"T_aabf5_row33_col30\" class=\"data row33 col30\" >0.52</td>\n",
       "      <td id=\"T_aabf5_row33_col31\" class=\"data row33 col31\" >0.63</td>\n",
       "      <td id=\"T_aabf5_row33_col32\" class=\"data row33 col32\" >0.00</td>\n",
       "      <td id=\"T_aabf5_row33_col33\" class=\"data row33 col33\" >1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f8f2ce075e0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop non-numerical column to make it neater, but use full range of data\n",
    "df = full_df.drop('is_longest', axis=1) \n",
    "\n",
    "# calculate some extra numerical statistics for fun correlations\n",
    "df['bedtime_start_hour'] = pd.to_datetime(df['bedtime_start'], utc=True).dt.hour\n",
    "df['bedtime_end_hour'] = pd.to_datetime(df['bedtime_end'], utc=True).dt.hour\n",
    "\n",
    "# Here is the fast and easy way to plot correlations\n",
    "corr = df.corr()\n",
    "corr.style.background_gradient(cmap='coolwarm')\n",
    "corr.style.background_gradient(cmap='coolwarm').set_precision(2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2016x1296 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Here's another way (Create a plot)\n",
    "f = plt.figure(figsize=(28, 18))\n",
    "plt.matshow(df.corr(), fignum=f.number)\n",
    "plt.xticks(range(df.select_dtypes(['number']).shape[1]), df.select_dtypes(['number']).columns, fontsize=14, rotation=90)\n",
    "plt.yticks(range(df.select_dtypes(['number']).shape[1]), df.select_dtypes(['number']).columns, fontsize=14)\n",
    "cb = plt.colorbar()\n",
    "cb.ax.tick_params(labelsize=14)\n",
    "plt.title('Correlation Matrix', fontsize=16);\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bedtime_start_delta           -0.632276\n",
      "midpoint_at_delta             -0.200545\n",
      "timezone                      -0.185122\n",
      "restless                      -0.106189\n",
      "breath_average                -0.079967\n",
      "hr_lowest                     -0.073732\n",
      "onset_latency                 -0.042528\n",
      "period_id                      0.028542\n",
      "rmssd                          0.041672\n",
      "hr_average                     0.068408\n",
      "awake                          0.072425\n",
      "bedtime_start_hour             0.088548\n",
      "score_alignment                0.093969\n",
      "score_latency                  0.094400\n",
      "score_disturbances             0.183497\n",
      "temperature_trend_deviation    0.196897\n",
      "bedtime_end_delta              0.204358\n",
      "weekend                        0.212286\n",
      "deep                           0.218609\n",
      "weekday                        0.219646\n",
      "bedtime_end_hour               0.240686\n",
      "score_deep                     0.251285\n",
      "efficiency                     0.255832\n",
      "score_efficiency               0.262852\n",
      "temperature_delta              0.299754\n",
      "temperature_deviation          0.299754\n",
      "light                          0.595933\n",
      "midpoint_time                  0.691144\n",
      "duration                       0.703152\n",
      "rem                            0.705857\n",
      "total                          0.793509\n",
      "score_rem                      0.822558\n",
      "score_total                    0.892129\n",
      "score                          1.000000\n",
      "Name: score, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# Or, just check one column and print all matches\n",
    "corr = df.corr()['score'].sort_values()\n",
    "with pd.option_context('display.max_rows', None, 'display.max_columns', None):  # more options can be specified also\n",
    "    print(corr)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Do my previous days metrics effect my next days sleep score?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime_naive\n",
       "2020-08-19    78\n",
       "2020-08-20    76\n",
       "2020-08-21    87\n",
       "2020-08-22    81\n",
       "2020-08-23    73\n",
       "Name: score, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_next = df['score'] # Create another subset of data to compare\n",
    "df_next = df_next.shift(periods=-1, axis=0, fill_value=0) # Shift back by one (compare days data with next days score)\n",
    "df = df.join(df_next, rsuffix=\"_next\") # Join to original df with a new name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_10240/3870308080.py:4: FutureWarning: this method is deprecated in favour of `Styler.format(precision=..)`\n",
      "  corr.style.background_gradient(cmap='coolwarm').set_precision(2)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
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       "#T_07e66_row2_col0, #T_07e66_row9_col8, #T_07e66_row9_col18, #T_07e66_row11_col16, #T_07e66_row15_col9, #T_07e66_row16_col6, #T_07e66_row21_col10, #T_07e66_row30_col20 {\n",
       "  background-color: #b9d0f9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row2_col4, #T_07e66_row6_col13, #T_07e66_row11_col22, #T_07e66_row22_col4, #T_07e66_row25_col19, #T_07e66_row26_col19, #T_07e66_row29_col13 {\n",
       "  background-color: #6e90f2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row2_col8, #T_07e66_row3_col25, #T_07e66_row3_col26, #T_07e66_row17_col18, #T_07e66_row25_col11, #T_07e66_row26_col11, #T_07e66_row31_col8, #T_07e66_row32_col18, #T_07e66_row33_col17 {\n",
       "  background-color: #e5d8d1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row2_col10 {\n",
       "  background-color: #da5a49;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row2_col12, #T_07e66_row9_col12, #T_07e66_row12_col23, #T_07e66_row23_col13, #T_07e66_row32_col12 {\n",
       "  background-color: #779af7;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row2_col13, #T_07e66_row8_col12, #T_07e66_row9_col27, #T_07e66_row10_col16, #T_07e66_row11_col19, #T_07e66_row11_col27, #T_07e66_row13_col4, #T_07e66_row16_col12, #T_07e66_row27_col9, #T_07e66_row29_col12, #T_07e66_row32_col25, #T_07e66_row32_col26, #T_07e66_row34_col29 {\n",
       "  background-color: #86a9fc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row2_col15, #T_07e66_row4_col2, #T_07e66_row4_col23, #T_07e66_row5_col8, #T_07e66_row6_col28, #T_07e66_row8_col17, #T_07e66_row17_col29, #T_07e66_row20_col30, #T_07e66_row20_col31, #T_07e66_row21_col30, #T_07e66_row24_col18, #T_07e66_row25_col2, #T_07e66_row26_col2, #T_07e66_row33_col15 {\n",
       "  background-color: #adc9fd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row2_col16, #T_07e66_row12_col9, #T_07e66_row16_col30, #T_07e66_row17_col3 {\n",
       "  background-color: #8fb1fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row2_col18, #T_07e66_row4_col13, #T_07e66_row5_col2, #T_07e66_row10_col22, #T_07e66_row19_col12, #T_07e66_row21_col13, #T_07e66_row24_col2, #T_07e66_row25_col34, #T_07e66_row26_col34 {\n",
       "  background-color: #6788ee;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row2_col19, #T_07e66_row4_col3, #T_07e66_row4_col34, #T_07e66_row18_col9, #T_07e66_row19_col13, #T_07e66_row28_col34 {\n",
       "  background-color: #6180e9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row2_col21, #T_07e66_row7_col28, #T_07e66_row10_col11, #T_07e66_row13_col2, #T_07e66_row13_col21, #T_07e66_row19_col0, #T_07e66_row30_col23, #T_07e66_row34_col0, #T_07e66_row34_col21 {\n",
       "  background-color: #d3dbe7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row2_col22, #T_07e66_row4_col29, #T_07e66_row5_col22, #T_07e66_row6_col34, #T_07e66_row8_col4, #T_07e66_row14_col12, #T_07e66_row19_col29, #T_07e66_row22_col32, #T_07e66_row24_col12 {\n",
       "  background-color: #6282ea;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row2_col25, #T_07e66_row2_col26, #T_07e66_row9_col22, #T_07e66_row15_col34, #T_07e66_row16_col22, #T_07e66_row19_col3, #T_07e66_row20_col27, #T_07e66_row23_col27, #T_07e66_row23_col34, #T_07e66_row27_col19, #T_07e66_row27_col23, #T_07e66_row31_col18 {\n",
       "  background-color: #6b8df0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row2_col30, #T_07e66_row7_col21, #T_07e66_row9_col25, #T_07e66_row9_col26, #T_07e66_row12_col10, #T_07e66_row31_col6, #T_07e66_row32_col21, #T_07e66_row34_col6 {\n",
       "  background-color: #d7dce3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row2_col31, #T_07e66_row6_col18, #T_07e66_row8_col31, #T_07e66_row14_col7, #T_07e66_row19_col16, #T_07e66_row21_col17, #T_07e66_row25_col10, #T_07e66_row26_col10, #T_07e66_row30_col14 {\n",
       "  background-color: #e9d5cb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row2_col33 {\n",
       "  background-color: #f4c6af;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row2_col34, #T_07e66_row10_col32 {\n",
       "  background-color: #485fd1;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row3_col4, #T_07e66_row17_col2 {\n",
       "  background-color: #4055c8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row3_col5, #T_07e66_row10_col17, #T_07e66_row16_col2, #T_07e66_row16_col28, #T_07e66_row19_col8, #T_07e66_row21_col4, #T_07e66_row21_col15, #T_07e66_row21_col19, #T_07e66_row27_col11, #T_07e66_row31_col16, #T_07e66_row33_col16 {\n",
       "  background-color: #92b4fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row3_col6, #T_07e66_row8_col6, #T_07e66_row19_col17 {\n",
       "  background-color: #e7d7ce;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row3_col7, #T_07e66_row11_col23, #T_07e66_row17_col9, #T_07e66_row28_col31 {\n",
       "  background-color: #f7aa8c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row3_col8 {\n",
       "  background-color: #f6bea4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row3_col9, #T_07e66_row6_col14, #T_07e66_row11_col6, #T_07e66_row14_col15, #T_07e66_row15_col6, #T_07e66_row15_col11, #T_07e66_row16_col10, #T_07e66_row23_col16 {\n",
       "  background-color: #aec9fc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row3_col10, #T_07e66_row8_col1, #T_07e66_row12_col0, #T_07e66_row23_col31, #T_07e66_row29_col33 {\n",
       "  background-color: #ead5c9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row3_col12, #T_07e66_row16_col9, #T_07e66_row17_col12, #T_07e66_row17_col32, #T_07e66_row18_col32, #T_07e66_row23_col2 {\n",
       "  background-color: #7295f4;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row3_col13, #T_07e66_row8_col34, #T_07e66_row11_col2, #T_07e66_row17_col27, #T_07e66_row18_col22, #T_07e66_row20_col32, #T_07e66_row20_col34, #T_07e66_row28_col2 {\n",
       "  background-color: #6687ed;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row3_col15, #T_07e66_row6_col1, #T_07e66_row6_col24, #T_07e66_row6_col33, #T_07e66_row7_col15, #T_07e66_row14_col29, #T_07e66_row18_col0, #T_07e66_row32_col31, #T_07e66_row34_col2 {\n",
       "  background-color: #afcafc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row3_col17, #T_07e66_row19_col11, #T_07e66_row31_col20, #T_07e66_row31_col29, #T_07e66_row33_col3, #T_07e66_row33_col21 {\n",
       "  background-color: #abc8fd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row3_col18, #T_07e66_row11_col15, #T_07e66_row13_col15, #T_07e66_row13_col30, #T_07e66_row23_col18 {\n",
       "  background-color: #c7d7f0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row3_col20, #T_07e66_row5_col29, #T_07e66_row6_col10, #T_07e66_row10_col24, #T_07e66_row15_col27, #T_07e66_row17_col4, #T_07e66_row21_col2, #T_07e66_row22_col15, #T_07e66_row28_col4, #T_07e66_row30_col25, #T_07e66_row30_col26, #T_07e66_row34_col20 {\n",
       "  background-color: #c0d4f5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row3_col27, #T_07e66_row3_col28, #T_07e66_row8_col24, #T_07e66_row19_col7, #T_07e66_row20_col4, #T_07e66_row22_col5, #T_07e66_row22_col24, #T_07e66_row23_col19, #T_07e66_row32_col3, #T_07e66_row32_col9 {\n",
       "  background-color: #9dbdff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row3_col30, #T_07e66_row17_col16, #T_07e66_row27_col21, #T_07e66_row29_col18 {\n",
       "  background-color: #c6d6f1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row3_col31, #T_07e66_row4_col1, #T_07e66_row7_col2, #T_07e66_row11_col7, #T_07e66_row28_col7 {\n",
       "  background-color: #e4d9d2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row3_col32 {\n",
       "  background-color: #4f69d9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row3_col34, #T_07e66_row18_col5, #T_07e66_row18_col11, #T_07e66_row18_col29 {\n",
       "  background-color: #536edd;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row4_col6, #T_07e66_row8_col21, #T_07e66_row17_col31, #T_07e66_row25_col5, #T_07e66_row26_col5, #T_07e66_row29_col8, #T_07e66_row30_col2, #T_07e66_row30_col8, #T_07e66_row31_col17 {\n",
       "  background-color: #e1dad6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row4_col8, #T_07e66_row8_col9, #T_07e66_row10_col13, #T_07e66_row11_col3, #T_07e66_row12_col3, #T_07e66_row16_col11, #T_07e66_row21_col14, #T_07e66_row21_col28, #T_07e66_row27_col20, #T_07e66_row30_col27, #T_07e66_row31_col27, #T_07e66_row34_col3, #T_07e66_row34_col9 {\n",
       "  background-color: #98b9ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row4_col9, #T_07e66_row4_col22, #T_07e66_row21_col12 {\n",
       "  background-color: #4a63d3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row4_col12, #T_07e66_row6_col32, #T_07e66_row7_col34, #T_07e66_row9_col34, #T_07e66_row23_col32, #T_07e66_row24_col22, #T_07e66_row28_col12, #T_07e66_row29_col19, #T_07e66_row31_col12, #T_07e66_row33_col22 {\n",
       "  background-color: #6384eb;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row4_col16, #T_07e66_row11_col10, #T_07e66_row17_col21, #T_07e66_row30_col5 {\n",
       "  background-color: #f2cab5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row4_col18, #T_07e66_row4_col28, #T_07e66_row6_col8, #T_07e66_row20_col33, #T_07e66_row22_col1, #T_07e66_row30_col21, #T_07e66_row32_col10 {\n",
       "  background-color: #d1dae9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row4_col19, #T_07e66_row10_col30, #T_07e66_row33_col0, #T_07e66_row33_col24 {\n",
       "  background-color: #f7b497;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row4_col21, #T_07e66_row11_col25, #T_07e66_row11_col26, #T_07e66_row13_col6, #T_07e66_row20_col18, #T_07e66_row29_col24 {\n",
       "  background-color: #d8dce2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row4_col24, #T_07e66_row7_col9, #T_07e66_row7_col24, #T_07e66_row13_col7, #T_07e66_row19_col20, #T_07e66_row20_col2, #T_07e66_row28_col21, #T_07e66_row31_col21, #T_07e66_row32_col1 {\n",
       "  background-color: #cedaeb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row4_col25, #T_07e66_row4_col26, #T_07e66_row7_col27, #T_07e66_row10_col12, #T_07e66_row15_col13, #T_07e66_row17_col34, #T_07e66_row20_col9 {\n",
       "  background-color: #7a9df8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row4_col30, #T_07e66_row5_col25, #T_07e66_row5_col26, #T_07e66_row9_col15, #T_07e66_row29_col6, #T_07e66_row31_col3 {\n",
       "  background-color: #d5dbe5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row4_col31, #T_07e66_row7_col5, #T_07e66_row32_col33, #T_07e66_row34_col10 {\n",
       "  background-color: #ccd9ed;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row4_col32, #T_07e66_row7_col32, #T_07e66_row13_col34, #T_07e66_row16_col14, #T_07e66_row30_col22, #T_07e66_row33_col18 {\n",
       "  background-color: #5470de;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row4_col33, #T_07e66_row15_col18, #T_07e66_row17_col30, #T_07e66_row28_col25, #T_07e66_row28_col26, #T_07e66_row29_col28, #T_07e66_row30_col6 {\n",
       "  background-color: #dbdcde;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row5_col0, #T_07e66_row17_col11 {\n",
       "  background-color: #f08b6e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row5_col4, #T_07e66_row5_col16, #T_07e66_row6_col30, #T_07e66_row7_col20, #T_07e66_row10_col6, #T_07e66_row12_col2, #T_07e66_row12_col20, #T_07e66_row15_col31, #T_07e66_row21_col3, #T_07e66_row24_col16, #T_07e66_row28_col15, #T_07e66_row30_col3, #T_07e66_row33_col6, #T_07e66_row34_col8 {\n",
       "  background-color: #bbd1f8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row5_col9, #T_07e66_row31_col1 {\n",
       "  background-color: #e36c55;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row5_col11, #T_07e66_row11_col5 {\n",
       "  background-color: #b50927;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row5_col13, #T_07e66_row7_col12, #T_07e66_row13_col27, #T_07e66_row14_col19, #T_07e66_row15_col29, #T_07e66_row18_col8, #T_07e66_row21_col27, #T_07e66_row22_col14, #T_07e66_row25_col16, #T_07e66_row26_col16, #T_07e66_row34_col19 {\n",
       "  background-color: #80a3fa;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row5_col14, #T_07e66_row9_col5, #T_07e66_row11_col9, #T_07e66_row14_col11, #T_07e66_row14_col24 {\n",
       "  background-color: #e36b54;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row5_col17, #T_07e66_row11_col1, #T_07e66_row14_col17, #T_07e66_row24_col9 {\n",
       "  background-color: #ea7b60;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row5_col19, #T_07e66_row22_col23, #T_07e66_row27_col28, #T_07e66_row30_col29 {\n",
       "  background-color: #8db0fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row5_col21, #T_07e66_row12_col11, #T_07e66_row13_col23, #T_07e66_row16_col20, #T_07e66_row22_col30, #T_07e66_row23_col29, #T_07e66_row24_col19, #T_07e66_row32_col11 {\n",
       "  background-color: #a3c2fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row5_col24, #T_07e66_row24_col5 {\n",
       "  background-color: #d0473d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row5_col27, #T_07e66_row12_col25, #T_07e66_row12_col26, #T_07e66_row18_col12, #T_07e66_row34_col4 {\n",
       "  background-color: #89acfd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row5_col28, #T_07e66_row28_col5 {\n",
       "  background-color: #bd1f2d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row5_col30, #T_07e66_row23_col1 {\n",
       "  background-color: #f5c2aa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row5_col32, #T_07e66_row14_col34, #T_07e66_row18_col28, #T_07e66_row20_col22, #T_07e66_row21_col5, #T_07e66_row22_col13 {\n",
       "  background-color: #5a78e4;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row5_col33, #T_07e66_row11_col0, #T_07e66_row30_col1 {\n",
       "  background-color: #f08a6c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row6_col2, #T_07e66_row6_col3, #T_07e66_row10_col3, #T_07e66_row11_col29, #T_07e66_row13_col17, #T_07e66_row22_col16, #T_07e66_row28_col29, #T_07e66_row29_col14, #T_07e66_row33_col20, #T_07e66_row34_col7 {\n",
       "  background-color: #c1d4f4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row6_col4, #T_07e66_row8_col28, #T_07e66_row15_col24, #T_07e66_row15_col28, #T_07e66_row23_col4, #T_07e66_row28_col3, #T_07e66_row30_col16, #T_07e66_row32_col23, #T_07e66_row34_col11, #T_07e66_row34_col23 {\n",
       "  background-color: #9fbfff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row6_col9, #T_07e66_row12_col28, #T_07e66_row14_col13, #T_07e66_row30_col13, #T_07e66_row34_col14 {\n",
       "  background-color: #88abfd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row6_col11, #T_07e66_row7_col22, #T_07e66_row13_col12, #T_07e66_row20_col13, #T_07e66_row24_col32, #T_07e66_row29_col32 {\n",
       "  background-color: #6485ec;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row6_col15, #T_07e66_row6_col19, #T_07e66_row10_col4, #T_07e66_row19_col27, #T_07e66_row20_col25, #T_07e66_row20_col26, #T_07e66_row22_col27, #T_07e66_row34_col22 {\n",
       "  background-color: #8badfd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row6_col20, #T_07e66_row25_col8, #T_07e66_row26_col8, #T_07e66_row28_col10, #T_07e66_row29_col3 {\n",
       "  background-color: #efcfbf;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row6_col21, #T_07e66_row21_col6, #T_07e66_row24_col28, #T_07e66_row28_col24 {\n",
       "  background-color: #c53334;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row6_col23, #T_07e66_row7_col23, #T_07e66_row8_col0, #T_07e66_row12_col8, #T_07e66_row22_col6, #T_07e66_row24_col15, #T_07e66_row32_col7, #T_07e66_row32_col16, #T_07e66_row34_col16 {\n",
       "  background-color: #bcd2f7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row6_col27, #T_07e66_row18_col4, #T_07e66_row18_col19, #T_07e66_row32_col13, #T_07e66_row32_col19 {\n",
       "  background-color: #799cf8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row6_col29, #T_07e66_row24_col27, #T_07e66_row25_col22, #T_07e66_row26_col22, #T_07e66_row27_col14 {\n",
       "  background-color: #7597f6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row7_col4, #T_07e66_row13_col32, #T_07e66_row19_col34 {\n",
       "  background-color: #688aef;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row7_col6, #T_07e66_row8_col30, #T_07e66_row19_col6, #T_07e66_row27_col0, #T_07e66_row27_col10, #T_07e66_row29_col31 {\n",
       "  background-color: #dedcdb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row7_col8, #T_07e66_row28_col14 {\n",
       "  background-color: #d95847;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row7_col10 {\n",
       "  background-color: #f7b396;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row7_col13, #T_07e66_row16_col23, #T_07e66_row25_col12, #T_07e66_row26_col12, #T_07e66_row28_col13, #T_07e66_row28_col27, #T_07e66_row30_col19, #T_07e66_row32_col29 {\n",
       "  background-color: #82a6fb;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row7_col14, #T_07e66_row9_col6, #T_07e66_row13_col31, #T_07e66_row18_col17, #T_07e66_row20_col1, #T_07e66_row22_col17, #T_07e66_row27_col2, #T_07e66_row31_col25, #T_07e66_row31_col26, #T_07e66_row32_col17, #T_07e66_row34_col17 {\n",
       "  background-color: #cdd9ec;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row7_col25, #T_07e66_row7_col26, #T_07e66_row8_col3 {\n",
       "  background-color: #f3c7b1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row7_col31, #T_07e66_row11_col31, #T_07e66_row14_col9, #T_07e66_row31_col7 {\n",
       "  background-color: #f7b194;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row7_col33, #T_07e66_row9_col0, #T_07e66_row9_col31, #T_07e66_row28_col30, #T_07e66_row33_col14 {\n",
       "  background-color: #f6bda2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row8_col2, #T_07e66_row13_col1, #T_07e66_row18_col21, #T_07e66_row23_col6, #T_07e66_row31_col0, #T_07e66_row31_col2 {\n",
       "  background-color: #ead4c8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row8_col7, #T_07e66_row23_col17 {\n",
       "  background-color: #d85646;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row8_col13, #T_07e66_row11_col12, #T_07e66_row12_col24, #T_07e66_row15_col12, #T_07e66_row24_col13, #T_07e66_row27_col33, #T_07e66_row29_col22 {\n",
       "  background-color: #84a7fc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row8_col14, #T_07e66_row10_col25, #T_07e66_row10_col26, #T_07e66_row12_col31, #T_07e66_row20_col0, #T_07e66_row21_col24, #T_07e66_row27_col7 {\n",
       "  background-color: #a7c5fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row8_col19, #T_07e66_row21_col22 {\n",
       "  background-color: #4961d2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row8_col23, #T_07e66_row9_col16, #T_07e66_row10_col27, #T_07e66_row11_col21, #T_07e66_row14_col4, #T_07e66_row21_col33, #T_07e66_row32_col30, #T_07e66_row33_col13, #T_07e66_row34_col12, #T_07e66_row34_col28 {\n",
       "  background-color: #a1c0ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row8_col25, #T_07e66_row8_col26, #T_07e66_row14_col21, #T_07e66_row19_col18, #T_07e66_row22_col10, #T_07e66_row22_col18, #T_07e66_row23_col10, #T_07e66_row24_col21, #T_07e66_row29_col5 {\n",
       "  background-color: #d9dce1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row8_col29, #T_07e66_row19_col28, #T_07e66_row19_col31, #T_07e66_row23_col15, #T_07e66_row28_col20, #T_07e66_row30_col4, #T_07e66_row32_col15 {\n",
       "  background-color: #b7cff9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row8_col32, #T_07e66_row16_col34, #T_07e66_row30_col12 {\n",
       "  background-color: #5d7ce6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row8_col33, #T_07e66_row23_col21 {\n",
       "  background-color: #ecd3c5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row9_col1, #T_07e66_row30_col33, #T_07e66_row33_col5 {\n",
       "  background-color: #f5a081;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row9_col2, #T_07e66_row12_col14, #T_07e66_row13_col19, #T_07e66_row22_col19, #T_07e66_row29_col34, #T_07e66_row32_col22, #T_07e66_row33_col12 {\n",
       "  background-color: #7093f3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row9_col7, #T_07e66_row10_col8, #T_07e66_row14_col6, #T_07e66_row18_col6, #T_07e66_row18_col16, #T_07e66_row23_col0, #T_07e66_row29_col10, #T_07e66_row30_col0 {\n",
       "  background-color: #e6d7cf;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row9_col10, #T_07e66_row9_col30, #T_07e66_row15_col0, #T_07e66_row24_col10, #T_07e66_row25_col31, #T_07e66_row26_col31 {\n",
       "  background-color: #ebd3c6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row9_col11, #T_07e66_row17_col28, #T_07e66_row31_col30 {\n",
       "  background-color: #e26952;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row9_col13, #T_07e66_row13_col29, #T_07e66_row14_col2, #T_07e66_row15_col14, #T_07e66_row29_col27, #T_07e66_row30_col18, #T_07e66_row32_col27 {\n",
       "  background-color: #7b9ff9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row9_col14, #T_07e66_row24_col31 {\n",
       "  background-color: #f7b599;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row9_col17, #T_07e66_row28_col23 {\n",
       "  background-color: #f4987a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row9_col19, #T_07e66_row21_col0 {\n",
       "  background-color: #3e51c5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row9_col20, #T_07e66_row16_col27, #T_07e66_row16_col33, #T_07e66_row17_col15, #T_07e66_row21_col16 {\n",
       "  background-color: #a5c3fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row9_col24 {\n",
       "  background-color: #e97a5f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row9_col28, #T_07e66_row10_col2, #T_07e66_row30_col31 {\n",
       "  background-color: #e0654f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row9_col32, #T_07e66_row19_col22, #T_07e66_row21_col32, #T_07e66_row23_col12, #T_07e66_row28_col32, #T_07e66_row33_col34 {\n",
       "  background-color: #5e7de7;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row9_col33, #T_07e66_row19_col4, #T_07e66_row25_col7, #T_07e66_row26_col7 {\n",
       "  background-color: #f7ad90;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row10_col0, #T_07e66_row31_col14 {\n",
       "  background-color: #f0cdbb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row10_col1 {\n",
       "  background-color: #cd423b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row10_col20, #T_07e66_row17_col19, #T_07e66_row20_col7, #T_07e66_row22_col2, #T_07e66_row22_col7, #T_07e66_row24_col4, #T_07e66_row29_col23 {\n",
       "  background-color: #bed2f6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row10_col23, #T_07e66_row24_col3 {\n",
       "  background-color: #97b8ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row10_col31, #T_07e66_row28_col33 {\n",
       "  background-color: #f29274;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row10_col33, #T_07e66_row17_col23, #T_07e66_row28_col17 {\n",
       "  background-color: #de614d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row10_col34 {\n",
       "  background-color: #465ecf;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row11_col14, #T_07e66_row23_col24, #T_07e66_row24_col14 {\n",
       "  background-color: #e57058;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row11_col17, #T_07e66_row14_col23 {\n",
       "  background-color: #ec7f63;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row11_col24 {\n",
       "  background-color: #d44e41;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row11_col28, #T_07e66_row28_col11 {\n",
       "  background-color: #c12b30;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row11_col33, #T_07e66_row17_col14 {\n",
       "  background-color: #f18d6f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row12_col13, #T_07e66_row34_col32 {\n",
       "  background-color: #4e68d8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row12_col16, #T_07e66_row16_col17, #T_07e66_row21_col23, #T_07e66_row27_col6, #T_07e66_row34_col15 {\n",
       "  background-color: #c4d5f3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row12_col22 {\n",
       "  background-color: #f7ac8e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row12_col32, #T_07e66_row15_col32, #T_07e66_row27_col13 {\n",
       "  background-color: #506bda;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row12_col33, #T_07e66_row19_col24, #T_07e66_row21_col7, #T_07e66_row22_col21, #T_07e66_row29_col15, #T_07e66_row29_col30, #T_07e66_row33_col25, #T_07e66_row33_col26 {\n",
       "  background-color: #c3d5f4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row12_col34, #T_07e66_row18_col3, #T_07e66_row20_col5, #T_07e66_row20_col11, #T_07e66_row22_col34, #T_07e66_row25_col27, #T_07e66_row26_col27, #T_07e66_row32_col4 {\n",
       "  background-color: #85a8fc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row13_col10, #T_07e66_row25_col33, #T_07e66_row26_col33 {\n",
       "  background-color: #edd2c3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row13_col22, #T_07e66_row15_col4, #T_07e66_row19_col32, #T_07e66_row21_col11, #T_07e66_row25_col32, #T_07e66_row26_col32, #T_07e66_row27_col22, #T_07e66_row33_col32 {\n",
       "  background-color: #5875e1;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row13_col25, #T_07e66_row13_col26, #T_07e66_row27_col4, #T_07e66_row34_col25, #T_07e66_row34_col26 {\n",
       "  background-color: #8caffe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row13_col28, #T_07e66_row19_col23, #T_07e66_row21_col31, #T_07e66_row22_col31, #T_07e66_row24_col8, #T_07e66_row28_col8 {\n",
       "  background-color: #b6cefa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row14_col0, #T_07e66_row25_col1, #T_07e66_row26_col1, #T_07e66_row30_col24 {\n",
       "  background-color: #f1ccb8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row14_col1 {\n",
       "  background-color: #f39577;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row14_col5, #T_07e66_row28_col9 {\n",
       "  background-color: #e16751;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row14_col10, #T_07e66_row25_col3, #T_07e66_row26_col3, #T_07e66_row31_col9 {\n",
       "  background-color: #efcebd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row14_col22, #T_07e66_row32_col34 {\n",
       "  background-color: #5673e0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row14_col27, #T_07e66_row20_col12, #T_07e66_row21_col9, #T_07e66_row27_col12, #T_07e66_row27_col24, #T_07e66_row33_col19 {\n",
       "  background-color: #7ea1fa;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row14_col28 {\n",
       "  background-color: #d75445;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row14_col30, #T_07e66_row29_col7, #T_07e66_row33_col9 {\n",
       "  background-color: #f3c8b2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row14_col33 {\n",
       "  background-color: #f59f80;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row15_col10, #T_07e66_row25_col23, #T_07e66_row26_col23, #T_07e66_row31_col23 {\n",
       "  background-color: #d4dbe6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row15_col16, #T_07e66_row16_col0, #T_07e66_row29_col0, #T_07e66_row34_col18 {\n",
       "  background-color: #e3d9d3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row15_col25, #T_07e66_row15_col26, #T_07e66_row18_col23, #T_07e66_row18_col34, #T_07e66_row29_col4 {\n",
       "  background-color: #7699f6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row16_col18, #T_07e66_row17_col6 {\n",
       "  background-color: #f2c9b4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row16_col32, #T_07e66_row30_col34 {\n",
       "  background-color: #5572df;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row17_col0, #T_07e66_row24_col6, #T_07e66_row25_col6, #T_07e66_row25_col9, #T_07e66_row26_col6, #T_07e66_row26_col9, #T_07e66_row29_col17, #T_07e66_row30_col9 {\n",
       "  background-color: #dfdbd9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row17_col1, #T_07e66_row17_col33, #T_07e66_row21_col18, #T_07e66_row21_col20, #T_07e66_row25_col17, #T_07e66_row26_col17 {\n",
       "  background-color: #edd1c2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row17_col5, #T_07e66_row31_col33 {\n",
       "  background-color: #ef886b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row17_col13, #T_07e66_row25_col13, #T_07e66_row26_col13, #T_07e66_row31_col19 {\n",
       "  background-color: #6f92f3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row17_col24 {\n",
       "  background-color: #cf453c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row18_col14 {\n",
       "  background-color: #445acc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row18_col25, #T_07e66_row18_col26, #T_07e66_row27_col29, #T_07e66_row28_col22 {\n",
       "  background-color: #5977e3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row19_col33, #T_07e66_row29_col21, #T_07e66_row32_col0 {\n",
       "  background-color: #cfdaea;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row22_col3, #T_07e66_row31_col4, #T_07e66_row34_col5 {\n",
       "  background-color: #9ebeff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row22_col12 {\n",
       "  background-color: #f6a385;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row23_col11 {\n",
       "  background-color: #f7a688;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row23_col14, #T_07e66_row31_col10 {\n",
       "  background-color: #ed8366;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row24_col11 {\n",
       "  background-color: #d24b40;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row24_col17 {\n",
       "  background-color: #cb3e38;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row24_col23 {\n",
       "  background-color: #e67259;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row25_col29, #T_07e66_row26_col29 {\n",
       "  background-color: #f39778;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row28_col0 {\n",
       "  background-color: #f7bca1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row28_col1 {\n",
       "  background-color: #ee8468;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row29_col1 {\n",
       "  background-color: #eed0c0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row30_col11, #T_07e66_row33_col2 {\n",
       "  background-color: #f1cdba;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row30_col32 {\n",
       "  background-color: #4257c9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row31_col5 {\n",
       "  background-color: #f6bfa6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row31_col28 {\n",
       "  background-color: #f7b99e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row31_col32 {\n",
       "  background-color: #4358cb;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row33_col10 {\n",
       "  background-color: #dc5d4a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_07e66_row33_col11 {\n",
       "  background-color: #f6a283;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_07e66_row33_col30 {\n",
       "  background-color: #f7af91;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_07e66_\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th class=\"col_heading level0 col0\" >awake</th>\n",
       "      <th class=\"col_heading level0 col1\" >bedtime_end_delta</th>\n",
       "      <th class=\"col_heading level0 col2\" >bedtime_start_delta</th>\n",
       "      <th class=\"col_heading level0 col3\" >breath_average</th>\n",
       "      <th class=\"col_heading level0 col4\" >deep</th>\n",
       "      <th class=\"col_heading level0 col5\" >duration</th>\n",
       "      <th class=\"col_heading level0 col6\" >efficiency</th>\n",
       "      <th class=\"col_heading level0 col7\" >hr_average</th>\n",
       "      <th class=\"col_heading level0 col8\" >hr_lowest</th>\n",
       "      <th class=\"col_heading level0 col9\" >light</th>\n",
       "      <th class=\"col_heading level0 col10\" >midpoint_at_delta</th>\n",
       "      <th class=\"col_heading level0 col11\" >midpoint_time</th>\n",
       "      <th class=\"col_heading level0 col12\" >onset_latency</th>\n",
       "      <th class=\"col_heading level0 col13\" >period_id</th>\n",
       "      <th class=\"col_heading level0 col14\" >rem</th>\n",
       "      <th class=\"col_heading level0 col15\" >restless</th>\n",
       "      <th class=\"col_heading level0 col16\" >rmssd</th>\n",
       "      <th class=\"col_heading level0 col17\" >score</th>\n",
       "      <th class=\"col_heading level0 col18\" >score_alignment</th>\n",
       "      <th class=\"col_heading level0 col19\" >score_deep</th>\n",
       "      <th class=\"col_heading level0 col20\" >score_disturbances</th>\n",
       "      <th class=\"col_heading level0 col21\" >score_efficiency</th>\n",
       "      <th class=\"col_heading level0 col22\" >score_latency</th>\n",
       "      <th class=\"col_heading level0 col23\" >score_rem</th>\n",
       "      <th class=\"col_heading level0 col24\" >score_total</th>\n",
       "      <th class=\"col_heading level0 col25\" >temperature_delta</th>\n",
       "      <th class=\"col_heading level0 col26\" >temperature_deviation</th>\n",
       "      <th class=\"col_heading level0 col27\" >timezone</th>\n",
       "      <th class=\"col_heading level0 col28\" >total</th>\n",
       "      <th class=\"col_heading level0 col29\" >temperature_trend_deviation</th>\n",
       "      <th class=\"col_heading level0 col30\" >weekday</th>\n",
       "      <th class=\"col_heading level0 col31\" >weekend</th>\n",
       "      <th class=\"col_heading level0 col32\" >bedtime_start_hour</th>\n",
       "      <th class=\"col_heading level0 col33\" >bedtime_end_hour</th>\n",
       "      <th class=\"col_heading level0 col34\" >score_next</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row0\" class=\"row_heading level0 row0\" >awake</th>\n",
       "      <td id=\"T_07e66_row0_col0\" class=\"data row0 col0\" >1.00</td>\n",
       "      <td id=\"T_07e66_row0_col1\" class=\"data row0 col1\" >0.46</td>\n",
       "      <td id=\"T_07e66_row0_col2\" class=\"data row0 col2\" >-0.18</td>\n",
       "      <td id=\"T_07e66_row0_col3\" class=\"data row0 col3\" >-0.14</td>\n",
       "      <td id=\"T_07e66_row0_col4\" class=\"data row0 col4\" >0.04</td>\n",
       "      <td id=\"T_07e66_row0_col5\" class=\"data row0 col5\" >0.59</td>\n",
       "      <td id=\"T_07e66_row0_col6\" class=\"data row0 col6\" >-0.89</td>\n",
       "      <td id=\"T_07e66_row0_col7\" class=\"data row0 col7\" >0.01</td>\n",
       "      <td id=\"T_07e66_row0_col8\" class=\"data row0 col8\" >-0.15</td>\n",
       "      <td id=\"T_07e66_row0_col9\" class=\"data row0 col9\" >0.34</td>\n",
       "      <td id=\"T_07e66_row0_col10\" class=\"data row0 col10\" >0.22</td>\n",
       "      <td id=\"T_07e66_row0_col11\" class=\"data row0 col11\" >0.60</td>\n",
       "      <td id=\"T_07e66_row0_col12\" class=\"data row0 col12\" >0.16</td>\n",
       "      <td id=\"T_07e66_row0_col13\" class=\"data row0 col13\" >0.01</td>\n",
       "      <td id=\"T_07e66_row0_col14\" class=\"data row0 col14\" >0.24</td>\n",
       "      <td id=\"T_07e66_row0_col15\" class=\"data row0 col15\" >0.17</td>\n",
       "      <td id=\"T_07e66_row0_col16\" class=\"data row0 col16\" >0.11</td>\n",
       "      <td id=\"T_07e66_row0_col17\" class=\"data row0 col17\" >0.07</td>\n",
       "      <td id=\"T_07e66_row0_col18\" class=\"data row0 col18\" >-0.23</td>\n",
       "      <td id=\"T_07e66_row0_col19\" class=\"data row0 col19\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row0_col20\" class=\"data row0 col20\" >-0.27</td>\n",
       "      <td id=\"T_07e66_row0_col21\" class=\"data row0 col21\" >-0.86</td>\n",
       "      <td id=\"T_07e66_row0_col22\" class=\"data row0 col22\" >0.10</td>\n",
       "      <td id=\"T_07e66_row0_col23\" class=\"data row0 col23\" >0.13</td>\n",
       "      <td id=\"T_07e66_row0_col24\" class=\"data row0 col24\" >0.29</td>\n",
       "      <td id=\"T_07e66_row0_col25\" class=\"data row0 col25\" >0.06</td>\n",
       "      <td id=\"T_07e66_row0_col26\" class=\"data row0 col26\" >0.06</td>\n",
       "      <td id=\"T_07e66_row0_col27\" class=\"data row0 col27\" >0.06</td>\n",
       "      <td id=\"T_07e66_row0_col28\" class=\"data row0 col28\" >0.35</td>\n",
       "      <td id=\"T_07e66_row0_col29\" class=\"data row0 col29\" >0.10</td>\n",
       "      <td id=\"T_07e66_row0_col30\" class=\"data row0 col30\" >0.13</td>\n",
       "      <td id=\"T_07e66_row0_col31\" class=\"data row0 col31\" >0.16</td>\n",
       "      <td id=\"T_07e66_row0_col32\" class=\"data row0 col32\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row0_col33\" class=\"data row0 col33\" >0.40</td>\n",
       "      <td id=\"T_07e66_row0_col34\" class=\"data row0 col34\" >-0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row1\" class=\"row_heading level0 row1\" >bedtime_end_delta</th>\n",
       "      <td id=\"T_07e66_row1_col0\" class=\"data row1 col0\" >0.46</td>\n",
       "      <td id=\"T_07e66_row1_col1\" class=\"data row1 col1\" >1.00</td>\n",
       "      <td id=\"T_07e66_row1_col2\" class=\"data row1 col2\" >0.38</td>\n",
       "      <td id=\"T_07e66_row1_col3\" class=\"data row1 col3\" >0.07</td>\n",
       "      <td id=\"T_07e66_row1_col4\" class=\"data row1 col4\" >0.12</td>\n",
       "      <td id=\"T_07e66_row1_col5\" class=\"data row1 col5\" >0.68</td>\n",
       "      <td id=\"T_07e66_row1_col6\" class=\"data row1 col6\" >-0.22</td>\n",
       "      <td id=\"T_07e66_row1_col7\" class=\"data row1 col7\" >0.38</td>\n",
       "      <td id=\"T_07e66_row1_col8\" class=\"data row1 col8\" >0.17</td>\n",
       "      <td id=\"T_07e66_row1_col9\" class=\"data row1 col9\" >0.50</td>\n",
       "      <td id=\"T_07e66_row1_col10\" class=\"data row1 col10\" >0.87</td>\n",
       "      <td id=\"T_07e66_row1_col11\" class=\"data row1 col11\" >0.66</td>\n",
       "      <td id=\"T_07e66_row1_col12\" class=\"data row1 col12\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row1_col13\" class=\"data row1 col13\" >0.17</td>\n",
       "      <td id=\"T_07e66_row1_col14\" class=\"data row1 col14\" >0.55</td>\n",
       "      <td id=\"T_07e66_row1_col15\" class=\"data row1 col15\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row1_col16\" class=\"data row1 col16\" >-0.20</td>\n",
       "      <td id=\"T_07e66_row1_col17\" class=\"data row1 col17\" >0.20</td>\n",
       "      <td id=\"T_07e66_row1_col18\" class=\"data row1 col18\" >-0.87</td>\n",
       "      <td id=\"T_07e66_row1_col19\" class=\"data row1 col19\" >0.02</td>\n",
       "      <td id=\"T_07e66_row1_col20\" class=\"data row1 col20\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row1_col21\" class=\"data row1 col21\" >-0.29</td>\n",
       "      <td id=\"T_07e66_row1_col22\" class=\"data row1 col22\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row1_col23\" class=\"data row1 col23\" >0.31</td>\n",
       "      <td id=\"T_07e66_row1_col24\" class=\"data row1 col24\" >0.56</td>\n",
       "      <td id=\"T_07e66_row1_col25\" class=\"data row1 col25\" >0.24</td>\n",
       "      <td id=\"T_07e66_row1_col26\" class=\"data row1 col26\" >0.24</td>\n",
       "      <td id=\"T_07e66_row1_col27\" class=\"data row1 col27\" >0.02</td>\n",
       "      <td id=\"T_07e66_row1_col28\" class=\"data row1 col28\" >0.63</td>\n",
       "      <td id=\"T_07e66_row1_col29\" class=\"data row1 col29\" >0.21</td>\n",
       "      <td id=\"T_07e66_row1_col30\" class=\"data row1 col30\" >0.60</td>\n",
       "      <td id=\"T_07e66_row1_col31\" class=\"data row1 col31\" >0.72</td>\n",
       "      <td id=\"T_07e66_row1_col32\" class=\"data row1 col32\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row1_col33\" class=\"data row1 col33\" >0.90</td>\n",
       "      <td id=\"T_07e66_row1_col34\" class=\"data row1 col34\" >-0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row2\" class=\"row_heading level0 row2\" >bedtime_start_delta</th>\n",
       "      <td id=\"T_07e66_row2_col0\" class=\"data row2 col0\" >-0.18</td>\n",
       "      <td id=\"T_07e66_row2_col1\" class=\"data row2 col1\" >0.38</td>\n",
       "      <td id=\"T_07e66_row2_col2\" class=\"data row2 col2\" >1.00</td>\n",
       "      <td id=\"T_07e66_row2_col3\" class=\"data row2 col3\" >0.15</td>\n",
       "      <td id=\"T_07e66_row2_col4\" class=\"data row2 col4\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row2_col5\" class=\"data row2 col5\" >-0.43</td>\n",
       "      <td id=\"T_07e66_row2_col6\" class=\"data row2 col6\" >0.01</td>\n",
       "      <td id=\"T_07e66_row2_col7\" class=\"data row2 col7\" >0.21</td>\n",
       "      <td id=\"T_07e66_row2_col8\" class=\"data row2 col8\" >0.26</td>\n",
       "      <td id=\"T_07e66_row2_col9\" class=\"data row2 col9\" >-0.38</td>\n",
       "      <td id=\"T_07e66_row2_col10\" class=\"data row2 col10\" >0.78</td>\n",
       "      <td id=\"T_07e66_row2_col11\" class=\"data row2 col11\" >-0.43</td>\n",
       "      <td id=\"T_07e66_row2_col12\" class=\"data row2 col12\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row2_col13\" class=\"data row2 col13\" >0.11</td>\n",
       "      <td id=\"T_07e66_row2_col14\" class=\"data row2 col14\" >-0.33</td>\n",
       "      <td id=\"T_07e66_row2_col15\" class=\"data row2 col15\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row2_col16\" class=\"data row2 col16\" >-0.23</td>\n",
       "      <td id=\"T_07e66_row2_col17\" class=\"data row2 col17\" >-0.63</td>\n",
       "      <td id=\"T_07e66_row2_col18\" class=\"data row2 col18\" >-0.67</td>\n",
       "      <td id=\"T_07e66_row2_col19\" class=\"data row2 col19\" >-0.08</td>\n",
       "      <td id=\"T_07e66_row2_col20\" class=\"data row2 col20\" >0.08</td>\n",
       "      <td id=\"T_07e66_row2_col21\" class=\"data row2 col21\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row2_col22\" class=\"data row2 col22\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row2_col23\" class=\"data row2 col23\" >-0.38</td>\n",
       "      <td id=\"T_07e66_row2_col24\" class=\"data row2 col24\" >-0.43</td>\n",
       "      <td id=\"T_07e66_row2_col25\" class=\"data row2 col25\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row2_col26\" class=\"data row2 col26\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row2_col27\" class=\"data row2 col27\" >0.08</td>\n",
       "      <td id=\"T_07e66_row2_col28\" class=\"data row2 col28\" >-0.44</td>\n",
       "      <td id=\"T_07e66_row2_col29\" class=\"data row2 col29\" >-0.08</td>\n",
       "      <td id=\"T_07e66_row2_col30\" class=\"data row2 col30\" >0.20</td>\n",
       "      <td id=\"T_07e66_row2_col31\" class=\"data row2 col31\" >0.26</td>\n",
       "      <td id=\"T_07e66_row2_col32\" class=\"data row2 col32\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row2_col33\" class=\"data row2 col33\" >0.32</td>\n",
       "      <td id=\"T_07e66_row2_col34\" class=\"data row2 col34\" >-0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row3\" class=\"row_heading level0 row3\" >breath_average</th>\n",
       "      <td id=\"T_07e66_row3_col0\" class=\"data row3 col0\" >-0.14</td>\n",
       "      <td id=\"T_07e66_row3_col1\" class=\"data row3 col1\" >0.07</td>\n",
       "      <td id=\"T_07e66_row3_col2\" class=\"data row3 col2\" >0.15</td>\n",
       "      <td id=\"T_07e66_row3_col3\" class=\"data row3 col3\" >1.00</td>\n",
       "      <td id=\"T_07e66_row3_col4\" class=\"data row3 col4\" >-0.28</td>\n",
       "      <td id=\"T_07e66_row3_col5\" class=\"data row3 col5\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row3_col6\" class=\"data row3 col6\" >0.13</td>\n",
       "      <td id=\"T_07e66_row3_col7\" class=\"data row3 col7\" >0.52</td>\n",
       "      <td id=\"T_07e66_row3_col8\" class=\"data row3 col8\" >0.44</td>\n",
       "      <td id=\"T_07e66_row3_col9\" class=\"data row3 col9\" >0.10</td>\n",
       "      <td id=\"T_07e66_row3_col10\" class=\"data row3 col10\" >0.13</td>\n",
       "      <td id=\"T_07e66_row3_col11\" class=\"data row3 col11\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row3_col12\" class=\"data row3 col12\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row3_col13\" class=\"data row3 col13\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row3_col14\" class=\"data row3 col14\" >0.06</td>\n",
       "      <td id=\"T_07e66_row3_col15\" class=\"data row3 col15\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row3_col16\" class=\"data row3 col16\" >-0.45</td>\n",
       "      <td id=\"T_07e66_row3_col17\" class=\"data row3 col17\" >-0.08</td>\n",
       "      <td id=\"T_07e66_row3_col18\" class=\"data row3 col18\" >-0.12</td>\n",
       "      <td id=\"T_07e66_row3_col19\" class=\"data row3 col19\" >-0.23</td>\n",
       "      <td id=\"T_07e66_row3_col20\" class=\"data row3 col20\" >0.03</td>\n",
       "      <td id=\"T_07e66_row3_col21\" class=\"data row3 col21\" >0.11</td>\n",
       "      <td id=\"T_07e66_row3_col22\" class=\"data row3 col22\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row3_col23\" class=\"data row3 col23\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row3_col24\" class=\"data row3 col24\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row3_col25\" class=\"data row3 col25\" >0.39</td>\n",
       "      <td id=\"T_07e66_row3_col26\" class=\"data row3 col26\" >0.39</td>\n",
       "      <td id=\"T_07e66_row3_col27\" class=\"data row3 col27\" >0.03</td>\n",
       "      <td id=\"T_07e66_row3_col28\" class=\"data row3 col28\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row3_col29\" class=\"data row3 col29\" >0.39</td>\n",
       "      <td id=\"T_07e66_row3_col30\" class=\"data row3 col30\" >0.11</td>\n",
       "      <td id=\"T_07e66_row3_col31\" class=\"data row3 col31\" >0.23</td>\n",
       "      <td id=\"T_07e66_row3_col32\" class=\"data row3 col32\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row3_col33\" class=\"data row3 col33\" >0.04</td>\n",
       "      <td id=\"T_07e66_row3_col34\" class=\"data row3 col34\" >-0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row4\" class=\"row_heading level0 row4\" >deep</th>\n",
       "      <td id=\"T_07e66_row4_col0\" class=\"data row4 col0\" >0.04</td>\n",
       "      <td id=\"T_07e66_row4_col1\" class=\"data row4 col1\" >0.12</td>\n",
       "      <td id=\"T_07e66_row4_col2\" class=\"data row4 col2\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row4_col3\" class=\"data row4 col3\" >-0.28</td>\n",
       "      <td id=\"T_07e66_row4_col4\" class=\"data row4 col4\" >1.00</td>\n",
       "      <td id=\"T_07e66_row4_col5\" class=\"data row4 col5\" >0.20</td>\n",
       "      <td id=\"T_07e66_row4_col6\" class=\"data row4 col6\" >0.09</td>\n",
       "      <td id=\"T_07e66_row4_col7\" class=\"data row4 col7\" >-0.12</td>\n",
       "      <td id=\"T_07e66_row4_col8\" class=\"data row4 col8\" >-0.14</td>\n",
       "      <td id=\"T_07e66_row4_col9\" class=\"data row4 col9\" >-0.31</td>\n",
       "      <td id=\"T_07e66_row4_col10\" class=\"data row4 col10\" >0.01</td>\n",
       "      <td id=\"T_07e66_row4_col11\" class=\"data row4 col11\" >0.16</td>\n",
       "      <td id=\"T_07e66_row4_col12\" class=\"data row4 col12\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row4_col13\" class=\"data row4 col13\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row4_col14\" class=\"data row4 col14\" >0.10</td>\n",
       "      <td id=\"T_07e66_row4_col15\" class=\"data row4 col15\" >-0.18</td>\n",
       "      <td id=\"T_07e66_row4_col16\" class=\"data row4 col16\" >0.35</td>\n",
       "      <td id=\"T_07e66_row4_col17\" class=\"data row4 col17\" >0.22</td>\n",
       "      <td id=\"T_07e66_row4_col18\" class=\"data row4 col18\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row4_col19\" class=\"data row4 col19\" >0.60</td>\n",
       "      <td id=\"T_07e66_row4_col20\" class=\"data row4 col20\" >0.08</td>\n",
       "      <td id=\"T_07e66_row4_col21\" class=\"data row4 col21\" >0.04</td>\n",
       "      <td id=\"T_07e66_row4_col22\" class=\"data row4 col22\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row4_col23\" class=\"data row4 col23\" >0.09</td>\n",
       "      <td id=\"T_07e66_row4_col24\" class=\"data row4 col24\" >0.21</td>\n",
       "      <td id=\"T_07e66_row4_col25\" class=\"data row4 col25\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row4_col26\" class=\"data row4 col26\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row4_col27\" class=\"data row4 col27\" >0.02</td>\n",
       "      <td id=\"T_07e66_row4_col28\" class=\"data row4 col28\" >0.22</td>\n",
       "      <td id=\"T_07e66_row4_col29\" class=\"data row4 col29\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row4_col30\" class=\"data row4 col30\" >0.18</td>\n",
       "      <td id=\"T_07e66_row4_col31\" class=\"data row4 col31\" >0.08</td>\n",
       "      <td id=\"T_07e66_row4_col32\" class=\"data row4 col32\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row4_col33\" class=\"data row4 col33\" >0.10</td>\n",
       "      <td id=\"T_07e66_row4_col34\" class=\"data row4 col34\" >0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row5\" class=\"row_heading level0 row5\" >duration</th>\n",
       "      <td id=\"T_07e66_row5_col0\" class=\"data row5 col0\" >0.59</td>\n",
       "      <td id=\"T_07e66_row5_col1\" class=\"data row5 col1\" >0.68</td>\n",
       "      <td id=\"T_07e66_row5_col2\" class=\"data row5 col2\" >-0.43</td>\n",
       "      <td id=\"T_07e66_row5_col3\" class=\"data row5 col3\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row5_col4\" class=\"data row5 col4\" >0.20</td>\n",
       "      <td id=\"T_07e66_row5_col5\" class=\"data row5 col5\" >1.00</td>\n",
       "      <td id=\"T_07e66_row5_col6\" class=\"data row5 col6\" >-0.21</td>\n",
       "      <td id=\"T_07e66_row5_col7\" class=\"data row5 col7\" >0.20</td>\n",
       "      <td id=\"T_07e66_row5_col8\" class=\"data row5 col8\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row5_col9\" class=\"data row5 col9\" >0.79</td>\n",
       "      <td id=\"T_07e66_row5_col10\" class=\"data row5 col10\" >0.23</td>\n",
       "      <td id=\"T_07e66_row5_col11\" class=\"data row5 col11\" >0.99</td>\n",
       "      <td id=\"T_07e66_row5_col12\" class=\"data row5 col12\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row5_col13\" class=\"data row5 col13\" >0.08</td>\n",
       "      <td id=\"T_07e66_row5_col14\" class=\"data row5 col14\" >0.80</td>\n",
       "      <td id=\"T_07e66_row5_col15\" class=\"data row5 col15\" >0.05</td>\n",
       "      <td id=\"T_07e66_row5_col16\" class=\"data row5 col16\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row5_col17\" class=\"data row5 col17\" >0.70</td>\n",
       "      <td id=\"T_07e66_row5_col18\" class=\"data row5 col18\" >-0.31</td>\n",
       "      <td id=\"T_07e66_row5_col19\" class=\"data row5 col19\" >0.08</td>\n",
       "      <td id=\"T_07e66_row5_col20\" class=\"data row5 col20\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row5_col21\" class=\"data row5 col21\" >-0.28</td>\n",
       "      <td id=\"T_07e66_row5_col22\" class=\"data row5 col22\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row5_col23\" class=\"data row5 col23\" >0.60</td>\n",
       "      <td id=\"T_07e66_row5_col24\" class=\"data row5 col24\" >0.88</td>\n",
       "      <td id=\"T_07e66_row5_col25\" class=\"data row5 col25\" >0.31</td>\n",
       "      <td id=\"T_07e66_row5_col26\" class=\"data row5 col26\" >0.31</td>\n",
       "      <td id=\"T_07e66_row5_col27\" class=\"data row5 col27\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row5_col28\" class=\"data row5 col28\" >0.96</td>\n",
       "      <td id=\"T_07e66_row5_col29\" class=\"data row5 col29\" >0.27</td>\n",
       "      <td id=\"T_07e66_row5_col30\" class=\"data row5 col30\" >0.43</td>\n",
       "      <td id=\"T_07e66_row5_col31\" class=\"data row5 col31\" >0.49</td>\n",
       "      <td id=\"T_07e66_row5_col32\" class=\"data row5 col32\" >0.01</td>\n",
       "      <td id=\"T_07e66_row5_col33\" class=\"data row5 col33\" >0.62</td>\n",
       "      <td id=\"T_07e66_row5_col34\" class=\"data row5 col34\" >0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row6\" class=\"row_heading level0 row6\" >efficiency</th>\n",
       "      <td id=\"T_07e66_row6_col0\" class=\"data row6 col0\" >-0.89</td>\n",
       "      <td id=\"T_07e66_row6_col1\" class=\"data row6 col1\" >-0.22</td>\n",
       "      <td id=\"T_07e66_row6_col2\" class=\"data row6 col2\" >0.01</td>\n",
       "      <td id=\"T_07e66_row6_col3\" class=\"data row6 col3\" >0.13</td>\n",
       "      <td id=\"T_07e66_row6_col4\" class=\"data row6 col4\" >0.09</td>\n",
       "      <td id=\"T_07e66_row6_col5\" class=\"data row6 col5\" >-0.21</td>\n",
       "      <td id=\"T_07e66_row6_col6\" class=\"data row6 col6\" >1.00</td>\n",
       "      <td id=\"T_07e66_row6_col7\" class=\"data row6 col7\" >0.07</td>\n",
       "      <td id=\"T_07e66_row6_col8\" class=\"data row6 col8\" >0.14</td>\n",
       "      <td id=\"T_07e66_row6_col9\" class=\"data row6 col9\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row6_col10\" class=\"data row6 col10\" >-0.16</td>\n",
       "      <td id=\"T_07e66_row6_col11\" class=\"data row6 col11\" >-0.24</td>\n",
       "      <td id=\"T_07e66_row6_col12\" class=\"data row6 col12\" >-0.26</td>\n",
       "      <td id=\"T_07e66_row6_col13\" class=\"data row6 col13\" >0.02</td>\n",
       "      <td id=\"T_07e66_row6_col14\" class=\"data row6 col14\" >0.13</td>\n",
       "      <td id=\"T_07e66_row6_col15\" class=\"data row6 col15\" >-0.23</td>\n",
       "      <td id=\"T_07e66_row6_col16\" class=\"data row6 col16\" >-0.17</td>\n",
       "      <td id=\"T_07e66_row6_col17\" class=\"data row6 col17\" >0.26</td>\n",
       "      <td id=\"T_07e66_row6_col18\" class=\"data row6 col18\" >0.13</td>\n",
       "      <td id=\"T_07e66_row6_col19\" class=\"data row6 col19\" >0.07</td>\n",
       "      <td id=\"T_07e66_row6_col20\" class=\"data row6 col20\" >0.32</td>\n",
       "      <td id=\"T_07e66_row6_col21\" class=\"data row6 col21\" >0.91</td>\n",
       "      <td id=\"T_07e66_row6_col22\" class=\"data row6 col22\" >-0.16</td>\n",
       "      <td id=\"T_07e66_row6_col23\" class=\"data row6 col23\" >0.16</td>\n",
       "      <td id=\"T_07e66_row6_col24\" class=\"data row6 col24\" >0.07</td>\n",
       "      <td id=\"T_07e66_row6_col25\" class=\"data row6 col25\" >0.07</td>\n",
       "      <td id=\"T_07e66_row6_col26\" class=\"data row6 col26\" >0.07</td>\n",
       "      <td id=\"T_07e66_row6_col27\" class=\"data row6 col27\" >-0.11</td>\n",
       "      <td id=\"T_07e66_row6_col28\" class=\"data row6 col28\" >0.05</td>\n",
       "      <td id=\"T_07e66_row6_col29\" class=\"data row6 col29\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row6_col30\" class=\"data row6 col30\" >0.05</td>\n",
       "      <td id=\"T_07e66_row6_col31\" class=\"data row6 col31\" >0.01</td>\n",
       "      <td id=\"T_07e66_row6_col32\" class=\"data row6 col32\" >0.04</td>\n",
       "      <td id=\"T_07e66_row6_col33\" class=\"data row6 col33\" >-0.16</td>\n",
       "      <td id=\"T_07e66_row6_col34\" class=\"data row6 col34\" >0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row7\" class=\"row_heading level0 row7\" >hr_average</th>\n",
       "      <td id=\"T_07e66_row7_col0\" class=\"data row7 col0\" >0.01</td>\n",
       "      <td id=\"T_07e66_row7_col1\" class=\"data row7 col1\" >0.38</td>\n",
       "      <td id=\"T_07e66_row7_col2\" class=\"data row7 col2\" >0.21</td>\n",
       "      <td id=\"T_07e66_row7_col3\" class=\"data row7 col3\" >0.52</td>\n",
       "      <td id=\"T_07e66_row7_col4\" class=\"data row7 col4\" >-0.12</td>\n",
       "      <td id=\"T_07e66_row7_col5\" class=\"data row7 col5\" >0.20</td>\n",
       "      <td id=\"T_07e66_row7_col6\" class=\"data row7 col6\" >0.07</td>\n",
       "      <td id=\"T_07e66_row7_col7\" class=\"data row7 col7\" >1.00</td>\n",
       "      <td id=\"T_07e66_row7_col8\" class=\"data row7 col8\" >0.82</td>\n",
       "      <td id=\"T_07e66_row7_col9\" class=\"data row7 col9\" >0.24</td>\n",
       "      <td id=\"T_07e66_row7_col10\" class=\"data row7 col10\" >0.39</td>\n",
       "      <td id=\"T_07e66_row7_col11\" class=\"data row7 col11\" >0.22</td>\n",
       "      <td id=\"T_07e66_row7_col12\" class=\"data row7 col12\" >0.00</td>\n",
       "      <td id=\"T_07e66_row7_col13\" class=\"data row7 col13\" >0.09</td>\n",
       "      <td id=\"T_07e66_row7_col14\" class=\"data row7 col14\" >0.26</td>\n",
       "      <td id=\"T_07e66_row7_col15\" class=\"data row7 col15\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row7_col16\" class=\"data row7 col16\" >-0.65</td>\n",
       "      <td id=\"T_07e66_row7_col17\" class=\"data row7 col17\" >0.07</td>\n",
       "      <td id=\"T_07e66_row7_col18\" class=\"data row7 col18\" >-0.38</td>\n",
       "      <td id=\"T_07e66_row7_col19\" class=\"data row7 col19\" >-0.16</td>\n",
       "      <td id=\"T_07e66_row7_col20\" class=\"data row7 col20\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row7_col21\" class=\"data row7 col21\" >0.02</td>\n",
       "      <td id=\"T_07e66_row7_col22\" class=\"data row7 col22\" >0.00</td>\n",
       "      <td id=\"T_07e66_row7_col23\" class=\"data row7 col23\" >0.16</td>\n",
       "      <td id=\"T_07e66_row7_col24\" class=\"data row7 col24\" >0.21</td>\n",
       "      <td id=\"T_07e66_row7_col25\" class=\"data row7 col25\" >0.50</td>\n",
       "      <td id=\"T_07e66_row7_col26\" class=\"data row7 col26\" >0.50</td>\n",
       "      <td id=\"T_07e66_row7_col27\" class=\"data row7 col27\" >-0.11</td>\n",
       "      <td id=\"T_07e66_row7_col28\" class=\"data row7 col28\" >0.23</td>\n",
       "      <td id=\"T_07e66_row7_col29\" class=\"data row7 col29\" >0.36</td>\n",
       "      <td id=\"T_07e66_row7_col30\" class=\"data row7 col30\" >0.38</td>\n",
       "      <td id=\"T_07e66_row7_col31\" class=\"data row7 col31\" >0.48</td>\n",
       "      <td id=\"T_07e66_row7_col32\" class=\"data row7 col32\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row7_col33\" class=\"data row7 col33\" >0.38</td>\n",
       "      <td id=\"T_07e66_row7_col34\" class=\"data row7 col34\" >0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row8\" class=\"row_heading level0 row8\" >hr_lowest</th>\n",
       "      <td id=\"T_07e66_row8_col0\" class=\"data row8 col0\" >-0.15</td>\n",
       "      <td id=\"T_07e66_row8_col1\" class=\"data row8 col1\" >0.17</td>\n",
       "      <td id=\"T_07e66_row8_col2\" class=\"data row8 col2\" >0.26</td>\n",
       "      <td id=\"T_07e66_row8_col3\" class=\"data row8 col3\" >0.44</td>\n",
       "      <td id=\"T_07e66_row8_col4\" class=\"data row8 col4\" >-0.14</td>\n",
       "      <td id=\"T_07e66_row8_col5\" class=\"data row8 col5\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row8_col6\" class=\"data row8 col6\" >0.14</td>\n",
       "      <td id=\"T_07e66_row8_col7\" class=\"data row8 col7\" >0.82</td>\n",
       "      <td id=\"T_07e66_row8_col8\" class=\"data row8 col8\" >1.00</td>\n",
       "      <td id=\"T_07e66_row8_col9\" class=\"data row8 col9\" >0.01</td>\n",
       "      <td id=\"T_07e66_row8_col10\" class=\"data row8 col10\" >0.27</td>\n",
       "      <td id=\"T_07e66_row8_col11\" class=\"data row8 col11\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row8_col12\" class=\"data row8 col12\" >0.03</td>\n",
       "      <td id=\"T_07e66_row8_col13\" class=\"data row8 col13\" >0.10</td>\n",
       "      <td id=\"T_07e66_row8_col14\" class=\"data row8 col14\" >0.10</td>\n",
       "      <td id=\"T_07e66_row8_col15\" class=\"data row8 col15\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row8_col16\" class=\"data row8 col16\" >-0.59</td>\n",
       "      <td id=\"T_07e66_row8_col17\" class=\"data row8 col17\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row8_col18\" class=\"data row8 col18\" >-0.25</td>\n",
       "      <td id=\"T_07e66_row8_col19\" class=\"data row8 col19\" >-0.17</td>\n",
       "      <td id=\"T_07e66_row8_col20\" class=\"data row8 col20\" >0.02</td>\n",
       "      <td id=\"T_07e66_row8_col21\" class=\"data row8 col21\" >0.10</td>\n",
       "      <td id=\"T_07e66_row8_col22\" class=\"data row8 col22\" >0.02</td>\n",
       "      <td id=\"T_07e66_row8_col23\" class=\"data row8 col23\" >0.04</td>\n",
       "      <td id=\"T_07e66_row8_col24\" class=\"data row8 col24\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row8_col25\" class=\"data row8 col25\" >0.33</td>\n",
       "      <td id=\"T_07e66_row8_col26\" class=\"data row8 col26\" >0.33</td>\n",
       "      <td id=\"T_07e66_row8_col27\" class=\"data row8 col27\" >-0.16</td>\n",
       "      <td id=\"T_07e66_row8_col28\" class=\"data row8 col28\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row8_col29\" class=\"data row8 col29\" >0.23</td>\n",
       "      <td id=\"T_07e66_row8_col30\" class=\"data row8 col30\" >0.24</td>\n",
       "      <td id=\"T_07e66_row8_col31\" class=\"data row8 col31\" >0.26</td>\n",
       "      <td id=\"T_07e66_row8_col32\" class=\"data row8 col32\" >0.02</td>\n",
       "      <td id=\"T_07e66_row8_col33\" class=\"data row8 col33\" >0.23</td>\n",
       "      <td id=\"T_07e66_row8_col34\" class=\"data row8 col34\" >0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row9\" class=\"row_heading level0 row9\" >light</th>\n",
       "      <td id=\"T_07e66_row9_col0\" class=\"data row9 col0\" >0.34</td>\n",
       "      <td id=\"T_07e66_row9_col1\" class=\"data row9 col1\" >0.50</td>\n",
       "      <td id=\"T_07e66_row9_col2\" class=\"data row9 col2\" >-0.38</td>\n",
       "      <td id=\"T_07e66_row9_col3\" class=\"data row9 col3\" >0.10</td>\n",
       "      <td id=\"T_07e66_row9_col4\" class=\"data row9 col4\" >-0.31</td>\n",
       "      <td id=\"T_07e66_row9_col5\" class=\"data row9 col5\" >0.79</td>\n",
       "      <td id=\"T_07e66_row9_col6\" class=\"data row9 col6\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row9_col7\" class=\"data row9 col7\" >0.24</td>\n",
       "      <td id=\"T_07e66_row9_col8\" class=\"data row9 col8\" >0.01</td>\n",
       "      <td id=\"T_07e66_row9_col9\" class=\"data row9 col9\" >1.00</td>\n",
       "      <td id=\"T_07e66_row9_col10\" class=\"data row9 col10\" >0.15</td>\n",
       "      <td id=\"T_07e66_row9_col11\" class=\"data row9 col11\" >0.80</td>\n",
       "      <td id=\"T_07e66_row9_col12\" class=\"data row9 col12\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row9_col13\" class=\"data row9 col13\" >0.07</td>\n",
       "      <td id=\"T_07e66_row9_col14\" class=\"data row9 col14\" >0.57</td>\n",
       "      <td id=\"T_07e66_row9_col15\" class=\"data row9 col15\" >0.14</td>\n",
       "      <td id=\"T_07e66_row9_col16\" class=\"data row9 col16\" >-0.14</td>\n",
       "      <td id=\"T_07e66_row9_col17\" class=\"data row9 col17\" >0.60</td>\n",
       "      <td id=\"T_07e66_row9_col18\" class=\"data row9 col18\" >-0.21</td>\n",
       "      <td id=\"T_07e66_row9_col19\" class=\"data row9 col19\" >-0.22</td>\n",
       "      <td id=\"T_07e66_row9_col20\" class=\"data row9 col20\" >-0.11</td>\n",
       "      <td id=\"T_07e66_row9_col21\" class=\"data row9 col21\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row9_col22\" class=\"data row9 col22\" >0.02</td>\n",
       "      <td id=\"T_07e66_row9_col23\" class=\"data row9 col23\" >0.45</td>\n",
       "      <td id=\"T_07e66_row9_col24\" class=\"data row9 col24\" >0.75</td>\n",
       "      <td id=\"T_07e66_row9_col25\" class=\"data row9 col25\" >0.33</td>\n",
       "      <td id=\"T_07e66_row9_col26\" class=\"data row9 col26\" >0.33</td>\n",
       "      <td id=\"T_07e66_row9_col27\" class=\"data row9 col27\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row9_col28\" class=\"data row9 col28\" >0.81</td>\n",
       "      <td id=\"T_07e66_row9_col29\" class=\"data row9 col29\" >0.31</td>\n",
       "      <td id=\"T_07e66_row9_col30\" class=\"data row9 col30\" >0.32</td>\n",
       "      <td id=\"T_07e66_row9_col31\" class=\"data row9 col31\" >0.43</td>\n",
       "      <td id=\"T_07e66_row9_col32\" class=\"data row9 col32\" >0.03</td>\n",
       "      <td id=\"T_07e66_row9_col33\" class=\"data row9 col33\" >0.46</td>\n",
       "      <td id=\"T_07e66_row9_col34\" class=\"data row9 col34\" >0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row10\" class=\"row_heading level0 row10\" >midpoint_at_delta</th>\n",
       "      <td id=\"T_07e66_row10_col0\" class=\"data row10 col0\" >0.22</td>\n",
       "      <td id=\"T_07e66_row10_col1\" class=\"data row10 col1\" >0.87</td>\n",
       "      <td id=\"T_07e66_row10_col2\" class=\"data row10 col2\" >0.78</td>\n",
       "      <td id=\"T_07e66_row10_col3\" class=\"data row10 col3\" >0.13</td>\n",
       "      <td id=\"T_07e66_row10_col4\" class=\"data row10 col4\" >0.01</td>\n",
       "      <td id=\"T_07e66_row10_col5\" class=\"data row10 col5\" >0.23</td>\n",
       "      <td id=\"T_07e66_row10_col6\" class=\"data row10 col6\" >-0.16</td>\n",
       "      <td id=\"T_07e66_row10_col7\" class=\"data row10 col7\" >0.39</td>\n",
       "      <td id=\"T_07e66_row10_col8\" class=\"data row10 col8\" >0.27</td>\n",
       "      <td id=\"T_07e66_row10_col9\" class=\"data row10 col9\" >0.15</td>\n",
       "      <td id=\"T_07e66_row10_col10\" class=\"data row10 col10\" >1.00</td>\n",
       "      <td id=\"T_07e66_row10_col11\" class=\"data row10 col11\" >0.23</td>\n",
       "      <td id=\"T_07e66_row10_col12\" class=\"data row10 col12\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row10_col13\" class=\"data row10 col13\" >0.17</td>\n",
       "      <td id=\"T_07e66_row10_col14\" class=\"data row10 col14\" >0.19</td>\n",
       "      <td id=\"T_07e66_row10_col15\" class=\"data row10 col15\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row10_col16\" class=\"data row10 col16\" >-0.27</td>\n",
       "      <td id=\"T_07e66_row10_col17\" class=\"data row10 col17\" >-0.20</td>\n",
       "      <td id=\"T_07e66_row10_col18\" class=\"data row10 col18\" >-0.94</td>\n",
       "      <td id=\"T_07e66_row10_col19\" class=\"data row10 col19\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row10_col20\" class=\"data row10 col20\" >0.01</td>\n",
       "      <td id=\"T_07e66_row10_col21\" class=\"data row10 col21\" >-0.20</td>\n",
       "      <td id=\"T_07e66_row10_col22\" class=\"data row10 col22\" >0.01</td>\n",
       "      <td id=\"T_07e66_row10_col23\" class=\"data row10 col23\" >0.01</td>\n",
       "      <td id=\"T_07e66_row10_col24\" class=\"data row10 col24\" >0.15</td>\n",
       "      <td id=\"T_07e66_row10_col25\" class=\"data row10 col25\" >0.13</td>\n",
       "      <td id=\"T_07e66_row10_col26\" class=\"data row10 col26\" >0.13</td>\n",
       "      <td id=\"T_07e66_row10_col27\" class=\"data row10 col27\" >0.04</td>\n",
       "      <td id=\"T_07e66_row10_col28\" class=\"data row10 col28\" >0.19</td>\n",
       "      <td id=\"T_07e66_row10_col29\" class=\"data row10 col29\" >0.11</td>\n",
       "      <td id=\"T_07e66_row10_col30\" class=\"data row10 col30\" >0.50</td>\n",
       "      <td id=\"T_07e66_row10_col31\" class=\"data row10 col31\" >0.62</td>\n",
       "      <td id=\"T_07e66_row10_col32\" class=\"data row10 col32\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row10_col33\" class=\"data row10 col33\" >0.77</td>\n",
       "      <td id=\"T_07e66_row10_col34\" class=\"data row10 col34\" >-0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row11\" class=\"row_heading level0 row11\" >midpoint_time</th>\n",
       "      <td id=\"T_07e66_row11_col0\" class=\"data row11 col0\" >0.60</td>\n",
       "      <td id=\"T_07e66_row11_col1\" class=\"data row11 col1\" >0.66</td>\n",
       "      <td id=\"T_07e66_row11_col2\" class=\"data row11 col2\" >-0.43</td>\n",
       "      <td id=\"T_07e66_row11_col3\" class=\"data row11 col3\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row11_col4\" class=\"data row11 col4\" >0.16</td>\n",
       "      <td id=\"T_07e66_row11_col5\" class=\"data row11 col5\" >0.99</td>\n",
       "      <td id=\"T_07e66_row11_col6\" class=\"data row11 col6\" >-0.24</td>\n",
       "      <td id=\"T_07e66_row11_col7\" class=\"data row11 col7\" >0.22</td>\n",
       "      <td id=\"T_07e66_row11_col8\" class=\"data row11 col8\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row11_col9\" class=\"data row11 col9\" >0.80</td>\n",
       "      <td id=\"T_07e66_row11_col10\" class=\"data row11 col10\" >0.23</td>\n",
       "      <td id=\"T_07e66_row11_col11\" class=\"data row11 col11\" >1.00</td>\n",
       "      <td id=\"T_07e66_row11_col12\" class=\"data row11 col12\" >0.02</td>\n",
       "      <td id=\"T_07e66_row11_col13\" class=\"data row11 col13\" >0.07</td>\n",
       "      <td id=\"T_07e66_row11_col14\" class=\"data row11 col14\" >0.79</td>\n",
       "      <td id=\"T_07e66_row11_col15\" class=\"data row11 col15\" >0.06</td>\n",
       "      <td id=\"T_07e66_row11_col16\" class=\"data row11 col16\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row11_col17\" class=\"data row11 col17\" >0.69</td>\n",
       "      <td id=\"T_07e66_row11_col18\" class=\"data row11 col18\" >-0.32</td>\n",
       "      <td id=\"T_07e66_row11_col19\" class=\"data row11 col19\" >0.05</td>\n",
       "      <td id=\"T_07e66_row11_col20\" class=\"data row11 col20\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row11_col21\" class=\"data row11 col21\" >-0.29</td>\n",
       "      <td id=\"T_07e66_row11_col22\" class=\"data row11 col22\" >0.03</td>\n",
       "      <td id=\"T_07e66_row11_col23\" class=\"data row11 col23\" >0.60</td>\n",
       "      <td id=\"T_07e66_row11_col24\" class=\"data row11 col24\" >0.87</td>\n",
       "      <td id=\"T_07e66_row11_col25\" class=\"data row11 col25\" >0.33</td>\n",
       "      <td id=\"T_07e66_row11_col26\" class=\"data row11 col26\" >0.33</td>\n",
       "      <td id=\"T_07e66_row11_col27\" class=\"data row11 col27\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row11_col28\" class=\"data row11 col28\" >0.95</td>\n",
       "      <td id=\"T_07e66_row11_col29\" class=\"data row11 col29\" >0.27</td>\n",
       "      <td id=\"T_07e66_row11_col30\" class=\"data row11 col30\" >0.42</td>\n",
       "      <td id=\"T_07e66_row11_col31\" class=\"data row11 col31\" >0.48</td>\n",
       "      <td id=\"T_07e66_row11_col32\" class=\"data row11 col32\" >0.02</td>\n",
       "      <td id=\"T_07e66_row11_col33\" class=\"data row11 col33\" >0.61</td>\n",
       "      <td id=\"T_07e66_row11_col34\" class=\"data row11 col34\" >0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row12\" class=\"row_heading level0 row12\" >onset_latency</th>\n",
       "      <td id=\"T_07e66_row12_col0\" class=\"data row12 col0\" >0.16</td>\n",
       "      <td id=\"T_07e66_row12_col1\" class=\"data row12 col1\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row12_col2\" class=\"data row12 col2\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row12_col3\" class=\"data row12 col3\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row12_col4\" class=\"data row12 col4\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row12_col5\" class=\"data row12 col5\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row12_col6\" class=\"data row12 col6\" >-0.26</td>\n",
       "      <td id=\"T_07e66_row12_col7\" class=\"data row12 col7\" >0.00</td>\n",
       "      <td id=\"T_07e66_row12_col8\" class=\"data row12 col8\" >0.03</td>\n",
       "      <td id=\"T_07e66_row12_col9\" class=\"data row12 col9\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row12_col10\" class=\"data row12 col10\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row12_col11\" class=\"data row12 col11\" >0.02</td>\n",
       "      <td id=\"T_07e66_row12_col12\" class=\"data row12 col12\" >1.00</td>\n",
       "      <td id=\"T_07e66_row12_col13\" class=\"data row12 col13\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row12_col14\" class=\"data row12 col14\" >-0.11</td>\n",
       "      <td id=\"T_07e66_row12_col15\" class=\"data row12 col15\" >0.02</td>\n",
       "      <td id=\"T_07e66_row12_col16\" class=\"data row12 col16\" >0.03</td>\n",
       "      <td id=\"T_07e66_row12_col17\" class=\"data row12 col17\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row12_col18\" class=\"data row12 col18\" >0.04</td>\n",
       "      <td id=\"T_07e66_row12_col19\" class=\"data row12 col19\" >-0.08</td>\n",
       "      <td id=\"T_07e66_row12_col20\" class=\"data row12 col20\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row12_col21\" class=\"data row12 col21\" >-0.20</td>\n",
       "      <td id=\"T_07e66_row12_col22\" class=\"data row12 col22\" >0.65</td>\n",
       "      <td id=\"T_07e66_row12_col23\" class=\"data row12 col23\" >-0.12</td>\n",
       "      <td id=\"T_07e66_row12_col24\" class=\"data row12 col24\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row12_col25\" class=\"data row12 col25\" >0.01</td>\n",
       "      <td id=\"T_07e66_row12_col26\" class=\"data row12 col26\" >0.01</td>\n",
       "      <td id=\"T_07e66_row12_col27\" class=\"data row12 col27\" >0.00</td>\n",
       "      <td id=\"T_07e66_row12_col28\" class=\"data row12 col28\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row12_col29\" class=\"data row12 col29\" >0.03</td>\n",
       "      <td id=\"T_07e66_row12_col30\" class=\"data row12 col30\" >-0.12</td>\n",
       "      <td id=\"T_07e66_row12_col31\" class=\"data row12 col31\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row12_col32\" class=\"data row12 col32\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row12_col33\" class=\"data row12 col33\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row12_col34\" class=\"data row12 col34\" >0.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row13\" class=\"row_heading level0 row13\" >period_id</th>\n",
       "      <td id=\"T_07e66_row13_col0\" class=\"data row13 col0\" >0.01</td>\n",
       "      <td id=\"T_07e66_row13_col1\" class=\"data row13 col1\" >0.17</td>\n",
       "      <td id=\"T_07e66_row13_col2\" class=\"data row13 col2\" >0.11</td>\n",
       "      <td id=\"T_07e66_row13_col3\" class=\"data row13 col3\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row13_col4\" class=\"data row13 col4\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row13_col5\" class=\"data row13 col5\" >0.08</td>\n",
       "      <td id=\"T_07e66_row13_col6\" class=\"data row13 col6\" >0.02</td>\n",
       "      <td id=\"T_07e66_row13_col7\" class=\"data row13 col7\" >0.09</td>\n",
       "      <td id=\"T_07e66_row13_col8\" class=\"data row13 col8\" >0.10</td>\n",
       "      <td id=\"T_07e66_row13_col9\" class=\"data row13 col9\" >0.07</td>\n",
       "      <td id=\"T_07e66_row13_col10\" class=\"data row13 col10\" >0.17</td>\n",
       "      <td id=\"T_07e66_row13_col11\" class=\"data row13 col11\" >0.07</td>\n",
       "      <td id=\"T_07e66_row13_col12\" class=\"data row13 col12\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row13_col13\" class=\"data row13 col13\" >1.00</td>\n",
       "      <td id=\"T_07e66_row13_col14\" class=\"data row13 col14\" >0.11</td>\n",
       "      <td id=\"T_07e66_row13_col15\" class=\"data row13 col15\" >0.06</td>\n",
       "      <td id=\"T_07e66_row13_col16\" class=\"data row13 col16\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row13_col17\" class=\"data row13 col17\" >0.03</td>\n",
       "      <td id=\"T_07e66_row13_col18\" class=\"data row13 col18\" >-0.17</td>\n",
       "      <td id=\"T_07e66_row13_col19\" class=\"data row13 col19\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row13_col20\" class=\"data row13 col20\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row13_col21\" class=\"data row13 col21\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row13_col22\" class=\"data row13 col22\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row13_col23\" class=\"data row13 col23\" >0.05</td>\n",
       "      <td id=\"T_07e66_row13_col24\" class=\"data row13 col24\" >0.10</td>\n",
       "      <td id=\"T_07e66_row13_col25\" class=\"data row13 col25\" >0.03</td>\n",
       "      <td id=\"T_07e66_row13_col26\" class=\"data row13 col26\" >0.03</td>\n",
       "      <td id=\"T_07e66_row13_col27\" class=\"data row13 col27\" >-0.08</td>\n",
       "      <td id=\"T_07e66_row13_col28\" class=\"data row13 col28\" >0.09</td>\n",
       "      <td id=\"T_07e66_row13_col29\" class=\"data row13 col29\" >0.02</td>\n",
       "      <td id=\"T_07e66_row13_col30\" class=\"data row13 col30\" >0.11</td>\n",
       "      <td id=\"T_07e66_row13_col31\" class=\"data row13 col31\" >0.09</td>\n",
       "      <td id=\"T_07e66_row13_col32\" class=\"data row13 col32\" >0.06</td>\n",
       "      <td id=\"T_07e66_row13_col33\" class=\"data row13 col33\" >0.19</td>\n",
       "      <td id=\"T_07e66_row13_col34\" class=\"data row13 col34\" >-0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row14\" class=\"row_heading level0 row14\" >rem</th>\n",
       "      <td id=\"T_07e66_row14_col0\" class=\"data row14 col0\" >0.24</td>\n",
       "      <td id=\"T_07e66_row14_col1\" class=\"data row14 col1\" >0.55</td>\n",
       "      <td id=\"T_07e66_row14_col2\" class=\"data row14 col2\" >-0.33</td>\n",
       "      <td id=\"T_07e66_row14_col3\" class=\"data row14 col3\" >0.06</td>\n",
       "      <td id=\"T_07e66_row14_col4\" class=\"data row14 col4\" >0.10</td>\n",
       "      <td id=\"T_07e66_row14_col5\" class=\"data row14 col5\" >0.80</td>\n",
       "      <td id=\"T_07e66_row14_col6\" class=\"data row14 col6\" >0.13</td>\n",
       "      <td id=\"T_07e66_row14_col7\" class=\"data row14 col7\" >0.26</td>\n",
       "      <td id=\"T_07e66_row14_col8\" class=\"data row14 col8\" >0.10</td>\n",
       "      <td id=\"T_07e66_row14_col9\" class=\"data row14 col9\" >0.57</td>\n",
       "      <td id=\"T_07e66_row14_col10\" class=\"data row14 col10\" >0.19</td>\n",
       "      <td id=\"T_07e66_row14_col11\" class=\"data row14 col11\" >0.79</td>\n",
       "      <td id=\"T_07e66_row14_col12\" class=\"data row14 col12\" >-0.11</td>\n",
       "      <td id=\"T_07e66_row14_col13\" class=\"data row14 col13\" >0.11</td>\n",
       "      <td id=\"T_07e66_row14_col14\" class=\"data row14 col14\" >1.00</td>\n",
       "      <td id=\"T_07e66_row14_col15\" class=\"data row14 col15\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row14_col16\" class=\"data row14 col16\" >-0.22</td>\n",
       "      <td id=\"T_07e66_row14_col17\" class=\"data row14 col17\" >0.71</td>\n",
       "      <td id=\"T_07e66_row14_col18\" class=\"data row14 col18\" >-0.29</td>\n",
       "      <td id=\"T_07e66_row14_col19\" class=\"data row14 col19\" >0.03</td>\n",
       "      <td id=\"T_07e66_row14_col20\" class=\"data row14 col20\" >0.05</td>\n",
       "      <td id=\"T_07e66_row14_col21\" class=\"data row14 col21\" >0.05</td>\n",
       "      <td id=\"T_07e66_row14_col22\" class=\"data row14 col22\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row14_col23\" class=\"data row14 col23\" >0.74</td>\n",
       "      <td id=\"T_07e66_row14_col24\" class=\"data row14 col24\" >0.79</td>\n",
       "      <td id=\"T_07e66_row14_col25\" class=\"data row14 col25\" >0.32</td>\n",
       "      <td id=\"T_07e66_row14_col26\" class=\"data row14 col26\" >0.32</td>\n",
       "      <td id=\"T_07e66_row14_col27\" class=\"data row14 col27\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row14_col28\" class=\"data row14 col28\" >0.85</td>\n",
       "      <td id=\"T_07e66_row14_col29\" class=\"data row14 col29\" >0.21</td>\n",
       "      <td id=\"T_07e66_row14_col30\" class=\"data row14 col30\" >0.40</td>\n",
       "      <td id=\"T_07e66_row14_col31\" class=\"data row14 col31\" >0.45</td>\n",
       "      <td id=\"T_07e66_row14_col32\" class=\"data row14 col32\" >0.03</td>\n",
       "      <td id=\"T_07e66_row14_col33\" class=\"data row14 col33\" >0.53</td>\n",
       "      <td id=\"T_07e66_row14_col34\" class=\"data row14 col34\" >-0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row15\" class=\"row_heading level0 row15\" >restless</th>\n",
       "      <td id=\"T_07e66_row15_col0\" class=\"data row15 col0\" >0.17</td>\n",
       "      <td id=\"T_07e66_row15_col1\" class=\"data row15 col1\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row15_col2\" class=\"data row15 col2\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row15_col3\" class=\"data row15 col3\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row15_col4\" class=\"data row15 col4\" >-0.18</td>\n",
       "      <td id=\"T_07e66_row15_col5\" class=\"data row15 col5\" >0.05</td>\n",
       "      <td id=\"T_07e66_row15_col6\" class=\"data row15 col6\" >-0.23</td>\n",
       "      <td id=\"T_07e66_row15_col7\" class=\"data row15 col7\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row15_col8\" class=\"data row15 col8\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row15_col9\" class=\"data row15 col9\" >0.14</td>\n",
       "      <td id=\"T_07e66_row15_col10\" class=\"data row15 col10\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row15_col11\" class=\"data row15 col11\" >0.06</td>\n",
       "      <td id=\"T_07e66_row15_col12\" class=\"data row15 col12\" >0.02</td>\n",
       "      <td id=\"T_07e66_row15_col13\" class=\"data row15 col13\" >0.06</td>\n",
       "      <td id=\"T_07e66_row15_col14\" class=\"data row15 col14\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row15_col15\" class=\"data row15 col15\" >1.00</td>\n",
       "      <td id=\"T_07e66_row15_col16\" class=\"data row15 col16\" >0.22</td>\n",
       "      <td id=\"T_07e66_row15_col17\" class=\"data row15 col17\" >-0.11</td>\n",
       "      <td id=\"T_07e66_row15_col18\" class=\"data row15 col18\" >0.02</td>\n",
       "      <td id=\"T_07e66_row15_col19\" class=\"data row15 col19\" >-0.18</td>\n",
       "      <td id=\"T_07e66_row15_col20\" class=\"data row15 col20\" >-0.63</td>\n",
       "      <td id=\"T_07e66_row15_col21\" class=\"data row15 col21\" >-0.20</td>\n",
       "      <td id=\"T_07e66_row15_col22\" class=\"data row15 col22\" >0.03</td>\n",
       "      <td id=\"T_07e66_row15_col23\" class=\"data row15 col23\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row15_col24\" class=\"data row15 col24\" >0.00</td>\n",
       "      <td id=\"T_07e66_row15_col25\" class=\"data row15 col25\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row15_col26\" class=\"data row15 col26\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row15_col27\" class=\"data row15 col27\" >0.17</td>\n",
       "      <td id=\"T_07e66_row15_col28\" class=\"data row15 col28\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row15_col29\" class=\"data row15 col29\" >0.04</td>\n",
       "      <td id=\"T_07e66_row15_col30\" class=\"data row15 col30\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row15_col31\" class=\"data row15 col31\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row15_col32\" class=\"data row15 col32\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row15_col33\" class=\"data row15 col33\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row15_col34\" class=\"data row15 col34\" >0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row16\" class=\"row_heading level0 row16\" >rmssd</th>\n",
       "      <td id=\"T_07e66_row16_col0\" class=\"data row16 col0\" >0.11</td>\n",
       "      <td id=\"T_07e66_row16_col1\" class=\"data row16 col1\" >-0.20</td>\n",
       "      <td id=\"T_07e66_row16_col2\" class=\"data row16 col2\" >-0.23</td>\n",
       "      <td id=\"T_07e66_row16_col3\" class=\"data row16 col3\" >-0.45</td>\n",
       "      <td id=\"T_07e66_row16_col4\" class=\"data row16 col4\" >0.35</td>\n",
       "      <td id=\"T_07e66_row16_col5\" class=\"data row16 col5\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row16_col6\" class=\"data row16 col6\" >-0.17</td>\n",
       "      <td id=\"T_07e66_row16_col7\" class=\"data row16 col7\" >-0.65</td>\n",
       "      <td id=\"T_07e66_row16_col8\" class=\"data row16 col8\" >-0.59</td>\n",
       "      <td id=\"T_07e66_row16_col9\" class=\"data row16 col9\" >-0.14</td>\n",
       "      <td id=\"T_07e66_row16_col10\" class=\"data row16 col10\" >-0.27</td>\n",
       "      <td id=\"T_07e66_row16_col11\" class=\"data row16 col11\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row16_col12\" class=\"data row16 col12\" >0.03</td>\n",
       "      <td id=\"T_07e66_row16_col13\" class=\"data row16 col13\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row16_col14\" class=\"data row16 col14\" >-0.22</td>\n",
       "      <td id=\"T_07e66_row16_col15\" class=\"data row16 col15\" >0.22</td>\n",
       "      <td id=\"T_07e66_row16_col16\" class=\"data row16 col16\" >1.00</td>\n",
       "      <td id=\"T_07e66_row16_col17\" class=\"data row16 col17\" >0.04</td>\n",
       "      <td id=\"T_07e66_row16_col18\" class=\"data row16 col18\" >0.24</td>\n",
       "      <td id=\"T_07e66_row16_col19\" class=\"data row16 col19\" >0.26</td>\n",
       "      <td id=\"T_07e66_row16_col20\" class=\"data row16 col20\" >-0.12</td>\n",
       "      <td id=\"T_07e66_row16_col21\" class=\"data row16 col21\" >-0.12</td>\n",
       "      <td id=\"T_07e66_row16_col22\" class=\"data row16 col22\" >0.02</td>\n",
       "      <td id=\"T_07e66_row16_col23\" class=\"data row16 col23\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row16_col24\" class=\"data row16 col24\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row16_col25\" class=\"data row16 col25\" >-0.30</td>\n",
       "      <td id=\"T_07e66_row16_col26\" class=\"data row16 col26\" >-0.30</td>\n",
       "      <td id=\"T_07e66_row16_col27\" class=\"data row16 col27\" >0.06</td>\n",
       "      <td id=\"T_07e66_row16_col28\" class=\"data row16 col28\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row16_col29\" class=\"data row16 col29\" >-0.22</td>\n",
       "      <td id=\"T_07e66_row16_col30\" class=\"data row16 col30\" >-0.15</td>\n",
       "      <td id=\"T_07e66_row16_col31\" class=\"data row16 col31\" >-0.21</td>\n",
       "      <td id=\"T_07e66_row16_col32\" class=\"data row16 col32\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row16_col33\" class=\"data row16 col33\" >-0.21</td>\n",
       "      <td id=\"T_07e66_row16_col34\" class=\"data row16 col34\" >-0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row17\" class=\"row_heading level0 row17\" >score</th>\n",
       "      <td id=\"T_07e66_row17_col0\" class=\"data row17 col0\" >0.07</td>\n",
       "      <td id=\"T_07e66_row17_col1\" class=\"data row17 col1\" >0.20</td>\n",
       "      <td id=\"T_07e66_row17_col2\" class=\"data row17 col2\" >-0.63</td>\n",
       "      <td id=\"T_07e66_row17_col3\" class=\"data row17 col3\" >-0.08</td>\n",
       "      <td id=\"T_07e66_row17_col4\" class=\"data row17 col4\" >0.22</td>\n",
       "      <td id=\"T_07e66_row17_col5\" class=\"data row17 col5\" >0.70</td>\n",
       "      <td id=\"T_07e66_row17_col6\" class=\"data row17 col6\" >0.26</td>\n",
       "      <td id=\"T_07e66_row17_col7\" class=\"data row17 col7\" >0.07</td>\n",
       "      <td id=\"T_07e66_row17_col8\" class=\"data row17 col8\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row17_col9\" class=\"data row17 col9\" >0.60</td>\n",
       "      <td id=\"T_07e66_row17_col10\" class=\"data row17 col10\" >-0.20</td>\n",
       "      <td id=\"T_07e66_row17_col11\" class=\"data row17 col11\" >0.69</td>\n",
       "      <td id=\"T_07e66_row17_col12\" class=\"data row17 col12\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row17_col13\" class=\"data row17 col13\" >0.03</td>\n",
       "      <td id=\"T_07e66_row17_col14\" class=\"data row17 col14\" >0.71</td>\n",
       "      <td id=\"T_07e66_row17_col15\" class=\"data row17 col15\" >-0.11</td>\n",
       "      <td id=\"T_07e66_row17_col16\" class=\"data row17 col16\" >0.04</td>\n",
       "      <td id=\"T_07e66_row17_col17\" class=\"data row17 col17\" >1.00</td>\n",
       "      <td id=\"T_07e66_row17_col18\" class=\"data row17 col18\" >0.09</td>\n",
       "      <td id=\"T_07e66_row17_col19\" class=\"data row17 col19\" >0.25</td>\n",
       "      <td id=\"T_07e66_row17_col20\" class=\"data row17 col20\" >0.18</td>\n",
       "      <td id=\"T_07e66_row17_col21\" class=\"data row17 col21\" >0.26</td>\n",
       "      <td id=\"T_07e66_row17_col22\" class=\"data row17 col22\" >0.09</td>\n",
       "      <td id=\"T_07e66_row17_col23\" class=\"data row17 col23\" >0.82</td>\n",
       "      <td id=\"T_07e66_row17_col24\" class=\"data row17 col24\" >0.89</td>\n",
       "      <td id=\"T_07e66_row17_col25\" class=\"data row17 col25\" >0.30</td>\n",
       "      <td id=\"T_07e66_row17_col26\" class=\"data row17 col26\" >0.30</td>\n",
       "      <td id=\"T_07e66_row17_col27\" class=\"data row17 col27\" >-0.19</td>\n",
       "      <td id=\"T_07e66_row17_col28\" class=\"data row17 col28\" >0.79</td>\n",
       "      <td id=\"T_07e66_row17_col29\" class=\"data row17 col29\" >0.20</td>\n",
       "      <td id=\"T_07e66_row17_col30\" class=\"data row17 col30\" >0.22</td>\n",
       "      <td id=\"T_07e66_row17_col31\" class=\"data row17 col31\" >0.21</td>\n",
       "      <td id=\"T_07e66_row17_col32\" class=\"data row17 col32\" >0.09</td>\n",
       "      <td id=\"T_07e66_row17_col33\" class=\"data row17 col33\" >0.24</td>\n",
       "      <td id=\"T_07e66_row17_col34\" class=\"data row17 col34\" >0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row18\" class=\"row_heading level0 row18\" >score_alignment</th>\n",
       "      <td id=\"T_07e66_row18_col0\" class=\"data row18 col0\" >-0.23</td>\n",
       "      <td id=\"T_07e66_row18_col1\" class=\"data row18 col1\" >-0.87</td>\n",
       "      <td id=\"T_07e66_row18_col2\" class=\"data row18 col2\" >-0.67</td>\n",
       "      <td id=\"T_07e66_row18_col3\" class=\"data row18 col3\" >-0.12</td>\n",
       "      <td id=\"T_07e66_row18_col4\" class=\"data row18 col4\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row18_col5\" class=\"data row18 col5\" >-0.31</td>\n",
       "      <td id=\"T_07e66_row18_col6\" class=\"data row18 col6\" >0.13</td>\n",
       "      <td id=\"T_07e66_row18_col7\" class=\"data row18 col7\" >-0.38</td>\n",
       "      <td id=\"T_07e66_row18_col8\" class=\"data row18 col8\" >-0.25</td>\n",
       "      <td id=\"T_07e66_row18_col9\" class=\"data row18 col9\" >-0.21</td>\n",
       "      <td id=\"T_07e66_row18_col10\" class=\"data row18 col10\" >-0.94</td>\n",
       "      <td id=\"T_07e66_row18_col11\" class=\"data row18 col11\" >-0.32</td>\n",
       "      <td id=\"T_07e66_row18_col12\" class=\"data row18 col12\" >0.04</td>\n",
       "      <td id=\"T_07e66_row18_col13\" class=\"data row18 col13\" >-0.17</td>\n",
       "      <td id=\"T_07e66_row18_col14\" class=\"data row18 col14\" >-0.29</td>\n",
       "      <td id=\"T_07e66_row18_col15\" class=\"data row18 col15\" >0.02</td>\n",
       "      <td id=\"T_07e66_row18_col16\" class=\"data row18 col16\" >0.24</td>\n",
       "      <td id=\"T_07e66_row18_col17\" class=\"data row18 col17\" >0.09</td>\n",
       "      <td id=\"T_07e66_row18_col18\" class=\"data row18 col18\" >1.00</td>\n",
       "      <td id=\"T_07e66_row18_col19\" class=\"data row18 col19\" >0.01</td>\n",
       "      <td id=\"T_07e66_row18_col20\" class=\"data row18 col20\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row18_col21\" class=\"data row18 col21\" >0.17</td>\n",
       "      <td id=\"T_07e66_row18_col22\" class=\"data row18 col22\" >0.00</td>\n",
       "      <td id=\"T_07e66_row18_col23\" class=\"data row18 col23\" >-0.12</td>\n",
       "      <td id=\"T_07e66_row18_col24\" class=\"data row18 col24\" >-0.27</td>\n",
       "      <td id=\"T_07e66_row18_col25\" class=\"data row18 col25\" >-0.17</td>\n",
       "      <td id=\"T_07e66_row18_col26\" class=\"data row18 col26\" >-0.17</td>\n",
       "      <td id=\"T_07e66_row18_col27\" class=\"data row18 col27\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row18_col28\" class=\"data row18 col28\" >-0.29</td>\n",
       "      <td id=\"T_07e66_row18_col29\" class=\"data row18 col29\" >-0.13</td>\n",
       "      <td id=\"T_07e66_row18_col30\" class=\"data row18 col30\" >-0.54</td>\n",
       "      <td id=\"T_07e66_row18_col31\" class=\"data row18 col31\" >-0.64</td>\n",
       "      <td id=\"T_07e66_row18_col32\" class=\"data row18 col32\" >0.09</td>\n",
       "      <td id=\"T_07e66_row18_col33\" class=\"data row18 col33\" >-0.78</td>\n",
       "      <td id=\"T_07e66_row18_col34\" class=\"data row18 col34\" >0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row19\" class=\"row_heading level0 row19\" >score_deep</th>\n",
       "      <td id=\"T_07e66_row19_col0\" class=\"data row19 col0\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row19_col1\" class=\"data row19 col1\" >0.02</td>\n",
       "      <td id=\"T_07e66_row19_col2\" class=\"data row19 col2\" >-0.08</td>\n",
       "      <td id=\"T_07e66_row19_col3\" class=\"data row19 col3\" >-0.23</td>\n",
       "      <td id=\"T_07e66_row19_col4\" class=\"data row19 col4\" >0.60</td>\n",
       "      <td id=\"T_07e66_row19_col5\" class=\"data row19 col5\" >0.08</td>\n",
       "      <td id=\"T_07e66_row19_col6\" class=\"data row19 col6\" >0.07</td>\n",
       "      <td id=\"T_07e66_row19_col7\" class=\"data row19 col7\" >-0.16</td>\n",
       "      <td id=\"T_07e66_row19_col8\" class=\"data row19 col8\" >-0.17</td>\n",
       "      <td id=\"T_07e66_row19_col9\" class=\"data row19 col9\" >-0.22</td>\n",
       "      <td id=\"T_07e66_row19_col10\" class=\"data row19 col10\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row19_col11\" class=\"data row19 col11\" >0.05</td>\n",
       "      <td id=\"T_07e66_row19_col12\" class=\"data row19 col12\" >-0.08</td>\n",
       "      <td id=\"T_07e66_row19_col13\" class=\"data row19 col13\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row19_col14\" class=\"data row19 col14\" >0.03</td>\n",
       "      <td id=\"T_07e66_row19_col15\" class=\"data row19 col15\" >-0.18</td>\n",
       "      <td id=\"T_07e66_row19_col16\" class=\"data row19 col16\" >0.26</td>\n",
       "      <td id=\"T_07e66_row19_col17\" class=\"data row19 col17\" >0.25</td>\n",
       "      <td id=\"T_07e66_row19_col18\" class=\"data row19 col18\" >0.01</td>\n",
       "      <td id=\"T_07e66_row19_col19\" class=\"data row19 col19\" >1.00</td>\n",
       "      <td id=\"T_07e66_row19_col20\" class=\"data row19 col20\" >0.10</td>\n",
       "      <td id=\"T_07e66_row19_col21\" class=\"data row19 col21\" >0.10</td>\n",
       "      <td id=\"T_07e66_row19_col22\" class=\"data row19 col22\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row19_col23\" class=\"data row19 col23\" >0.13</td>\n",
       "      <td id=\"T_07e66_row19_col24\" class=\"data row19 col24\" >0.16</td>\n",
       "      <td id=\"T_07e66_row19_col25\" class=\"data row19 col25\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row19_col26\" class=\"data row19 col26\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row19_col27\" class=\"data row19 col27\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row19_col28\" class=\"data row19 col28\" >0.10</td>\n",
       "      <td id=\"T_07e66_row19_col29\" class=\"data row19 col29\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row19_col30\" class=\"data row19 col30\" >0.04</td>\n",
       "      <td id=\"T_07e66_row19_col31\" class=\"data row19 col31\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row19_col32\" class=\"data row19 col32\" >0.01</td>\n",
       "      <td id=\"T_07e66_row19_col33\" class=\"data row19 col33\" >0.03</td>\n",
       "      <td id=\"T_07e66_row19_col34\" class=\"data row19 col34\" >0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row20\" class=\"row_heading level0 row20\" >score_disturbances</th>\n",
       "      <td id=\"T_07e66_row20_col0\" class=\"data row20 col0\" >-0.27</td>\n",
       "      <td id=\"T_07e66_row20_col1\" class=\"data row20 col1\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row20_col2\" class=\"data row20 col2\" >0.08</td>\n",
       "      <td id=\"T_07e66_row20_col3\" class=\"data row20 col3\" >0.03</td>\n",
       "      <td id=\"T_07e66_row20_col4\" class=\"data row20 col4\" >0.08</td>\n",
       "      <td id=\"T_07e66_row20_col5\" class=\"data row20 col5\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row20_col6\" class=\"data row20 col6\" >0.32</td>\n",
       "      <td id=\"T_07e66_row20_col7\" class=\"data row20 col7\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row20_col8\" class=\"data row20 col8\" >0.02</td>\n",
       "      <td id=\"T_07e66_row20_col9\" class=\"data row20 col9\" >-0.11</td>\n",
       "      <td id=\"T_07e66_row20_col10\" class=\"data row20 col10\" >0.01</td>\n",
       "      <td id=\"T_07e66_row20_col11\" class=\"data row20 col11\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row20_col12\" class=\"data row20 col12\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row20_col13\" class=\"data row20 col13\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row20_col14\" class=\"data row20 col14\" >0.05</td>\n",
       "      <td id=\"T_07e66_row20_col15\" class=\"data row20 col15\" >-0.63</td>\n",
       "      <td id=\"T_07e66_row20_col16\" class=\"data row20 col16\" >-0.12</td>\n",
       "      <td id=\"T_07e66_row20_col17\" class=\"data row20 col17\" >0.18</td>\n",
       "      <td id=\"T_07e66_row20_col18\" class=\"data row20 col18\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row20_col19\" class=\"data row20 col19\" >0.10</td>\n",
       "      <td id=\"T_07e66_row20_col20\" class=\"data row20 col20\" >1.00</td>\n",
       "      <td id=\"T_07e66_row20_col21\" class=\"data row20 col21\" >0.30</td>\n",
       "      <td id=\"T_07e66_row20_col22\" class=\"data row20 col22\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row20_col23\" class=\"data row20 col23\" >0.07</td>\n",
       "      <td id=\"T_07e66_row20_col24\" class=\"data row20 col24\" >0.02</td>\n",
       "      <td id=\"T_07e66_row20_col25\" class=\"data row20 col25\" >0.02</td>\n",
       "      <td id=\"T_07e66_row20_col26\" class=\"data row20 col26\" >0.02</td>\n",
       "      <td id=\"T_07e66_row20_col27\" class=\"data row20 col27\" >-0.17</td>\n",
       "      <td id=\"T_07e66_row20_col28\" class=\"data row20 col28\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row20_col29\" class=\"data row20 col29\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row20_col30\" class=\"data row20 col30\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row20_col31\" class=\"data row20 col31\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row20_col32\" class=\"data row20 col32\" >0.05</td>\n",
       "      <td id=\"T_07e66_row20_col33\" class=\"data row20 col33\" >0.03</td>\n",
       "      <td id=\"T_07e66_row20_col34\" class=\"data row20 col34\" >0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row21\" class=\"row_heading level0 row21\" >score_efficiency</th>\n",
       "      <td id=\"T_07e66_row21_col0\" class=\"data row21 col0\" >-0.86</td>\n",
       "      <td id=\"T_07e66_row21_col1\" class=\"data row21 col1\" >-0.29</td>\n",
       "      <td id=\"T_07e66_row21_col2\" class=\"data row21 col2\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row21_col3\" class=\"data row21 col3\" >0.11</td>\n",
       "      <td id=\"T_07e66_row21_col4\" class=\"data row21 col4\" >0.04</td>\n",
       "      <td id=\"T_07e66_row21_col5\" class=\"data row21 col5\" >-0.28</td>\n",
       "      <td id=\"T_07e66_row21_col6\" class=\"data row21 col6\" >0.91</td>\n",
       "      <td id=\"T_07e66_row21_col7\" class=\"data row21 col7\" >0.02</td>\n",
       "      <td id=\"T_07e66_row21_col8\" class=\"data row21 col8\" >0.10</td>\n",
       "      <td id=\"T_07e66_row21_col9\" class=\"data row21 col9\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row21_col10\" class=\"data row21 col10\" >-0.20</td>\n",
       "      <td id=\"T_07e66_row21_col11\" class=\"data row21 col11\" >-0.29</td>\n",
       "      <td id=\"T_07e66_row21_col12\" class=\"data row21 col12\" >-0.20</td>\n",
       "      <td id=\"T_07e66_row21_col13\" class=\"data row21 col13\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row21_col14\" class=\"data row21 col14\" >0.05</td>\n",
       "      <td id=\"T_07e66_row21_col15\" class=\"data row21 col15\" >-0.20</td>\n",
       "      <td id=\"T_07e66_row21_col16\" class=\"data row21 col16\" >-0.12</td>\n",
       "      <td id=\"T_07e66_row21_col17\" class=\"data row21 col17\" >0.26</td>\n",
       "      <td id=\"T_07e66_row21_col18\" class=\"data row21 col18\" >0.17</td>\n",
       "      <td id=\"T_07e66_row21_col19\" class=\"data row21 col19\" >0.10</td>\n",
       "      <td id=\"T_07e66_row21_col20\" class=\"data row21 col20\" >0.30</td>\n",
       "      <td id=\"T_07e66_row21_col21\" class=\"data row21 col21\" >1.00</td>\n",
       "      <td id=\"T_07e66_row21_col22\" class=\"data row21 col22\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row21_col23\" class=\"data row21 col23\" >0.19</td>\n",
       "      <td id=\"T_07e66_row21_col24\" class=\"data row21 col24\" >0.04</td>\n",
       "      <td id=\"T_07e66_row21_col25\" class=\"data row21 col25\" >0.06</td>\n",
       "      <td id=\"T_07e66_row21_col26\" class=\"data row21 col26\" >0.06</td>\n",
       "      <td id=\"T_07e66_row21_col27\" class=\"data row21 col27\" >-0.08</td>\n",
       "      <td id=\"T_07e66_row21_col28\" class=\"data row21 col28\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row21_col29\" class=\"data row21 col29\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row21_col30\" class=\"data row21 col30\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row21_col31\" class=\"data row21 col31\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row21_col32\" class=\"data row21 col32\" >0.03</td>\n",
       "      <td id=\"T_07e66_row21_col33\" class=\"data row21 col33\" >-0.23</td>\n",
       "      <td id=\"T_07e66_row21_col34\" class=\"data row21 col34\" >0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row22\" class=\"row_heading level0 row22\" >score_latency</th>\n",
       "      <td id=\"T_07e66_row22_col0\" class=\"data row22 col0\" >0.10</td>\n",
       "      <td id=\"T_07e66_row22_col1\" class=\"data row22 col1\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row22_col2\" class=\"data row22 col2\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row22_col3\" class=\"data row22 col3\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row22_col4\" class=\"data row22 col4\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row22_col5\" class=\"data row22 col5\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row22_col6\" class=\"data row22 col6\" >-0.16</td>\n",
       "      <td id=\"T_07e66_row22_col7\" class=\"data row22 col7\" >0.00</td>\n",
       "      <td id=\"T_07e66_row22_col8\" class=\"data row22 col8\" >0.02</td>\n",
       "      <td id=\"T_07e66_row22_col9\" class=\"data row22 col9\" >0.02</td>\n",
       "      <td id=\"T_07e66_row22_col10\" class=\"data row22 col10\" >0.01</td>\n",
       "      <td id=\"T_07e66_row22_col11\" class=\"data row22 col11\" >0.03</td>\n",
       "      <td id=\"T_07e66_row22_col12\" class=\"data row22 col12\" >0.65</td>\n",
       "      <td id=\"T_07e66_row22_col13\" class=\"data row22 col13\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row22_col14\" class=\"data row22 col14\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row22_col15\" class=\"data row22 col15\" >0.03</td>\n",
       "      <td id=\"T_07e66_row22_col16\" class=\"data row22 col16\" >0.02</td>\n",
       "      <td id=\"T_07e66_row22_col17\" class=\"data row22 col17\" >0.09</td>\n",
       "      <td id=\"T_07e66_row22_col18\" class=\"data row22 col18\" >0.00</td>\n",
       "      <td id=\"T_07e66_row22_col19\" class=\"data row22 col19\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row22_col20\" class=\"data row22 col20\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row22_col21\" class=\"data row22 col21\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row22_col22\" class=\"data row22 col22\" >1.00</td>\n",
       "      <td id=\"T_07e66_row22_col23\" class=\"data row22 col23\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row22_col24\" class=\"data row22 col24\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row22_col25\" class=\"data row22 col25\" >0.05</td>\n",
       "      <td id=\"T_07e66_row22_col26\" class=\"data row22 col26\" >0.05</td>\n",
       "      <td id=\"T_07e66_row22_col27\" class=\"data row22 col27\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row22_col28\" class=\"data row22 col28\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row22_col29\" class=\"data row22 col29\" >0.10</td>\n",
       "      <td id=\"T_07e66_row22_col30\" class=\"data row22 col30\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row22_col31\" class=\"data row22 col31\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row22_col32\" class=\"data row22 col32\" >0.04</td>\n",
       "      <td id=\"T_07e66_row22_col33\" class=\"data row22 col33\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row22_col34\" class=\"data row22 col34\" >0.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row23\" class=\"row_heading level0 row23\" >score_rem</th>\n",
       "      <td id=\"T_07e66_row23_col0\" class=\"data row23 col0\" >0.13</td>\n",
       "      <td id=\"T_07e66_row23_col1\" class=\"data row23 col1\" >0.31</td>\n",
       "      <td id=\"T_07e66_row23_col2\" class=\"data row23 col2\" >-0.38</td>\n",
       "      <td id=\"T_07e66_row23_col3\" class=\"data row23 col3\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row23_col4\" class=\"data row23 col4\" >0.09</td>\n",
       "      <td id=\"T_07e66_row23_col5\" class=\"data row23 col5\" >0.60</td>\n",
       "      <td id=\"T_07e66_row23_col6\" class=\"data row23 col6\" >0.16</td>\n",
       "      <td id=\"T_07e66_row23_col7\" class=\"data row23 col7\" >0.16</td>\n",
       "      <td id=\"T_07e66_row23_col8\" class=\"data row23 col8\" >0.04</td>\n",
       "      <td id=\"T_07e66_row23_col9\" class=\"data row23 col9\" >0.45</td>\n",
       "      <td id=\"T_07e66_row23_col10\" class=\"data row23 col10\" >0.01</td>\n",
       "      <td id=\"T_07e66_row23_col11\" class=\"data row23 col11\" >0.60</td>\n",
       "      <td id=\"T_07e66_row23_col12\" class=\"data row23 col12\" >-0.12</td>\n",
       "      <td id=\"T_07e66_row23_col13\" class=\"data row23 col13\" >0.05</td>\n",
       "      <td id=\"T_07e66_row23_col14\" class=\"data row23 col14\" >0.74</td>\n",
       "      <td id=\"T_07e66_row23_col15\" class=\"data row23 col15\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row23_col16\" class=\"data row23 col16\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row23_col17\" class=\"data row23 col17\" >0.82</td>\n",
       "      <td id=\"T_07e66_row23_col18\" class=\"data row23 col18\" >-0.12</td>\n",
       "      <td id=\"T_07e66_row23_col19\" class=\"data row23 col19\" >0.13</td>\n",
       "      <td id=\"T_07e66_row23_col20\" class=\"data row23 col20\" >0.07</td>\n",
       "      <td id=\"T_07e66_row23_col21\" class=\"data row23 col21\" >0.19</td>\n",
       "      <td id=\"T_07e66_row23_col22\" class=\"data row23 col22\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row23_col23\" class=\"data row23 col23\" >1.00</td>\n",
       "      <td id=\"T_07e66_row23_col24\" class=\"data row23 col24\" >0.78</td>\n",
       "      <td id=\"T_07e66_row23_col25\" class=\"data row23 col25\" >0.27</td>\n",
       "      <td id=\"T_07e66_row23_col26\" class=\"data row23 col26\" >0.27</td>\n",
       "      <td id=\"T_07e66_row23_col27\" class=\"data row23 col27\" >-0.16</td>\n",
       "      <td id=\"T_07e66_row23_col28\" class=\"data row23 col28\" >0.66</td>\n",
       "      <td id=\"T_07e66_row23_col29\" class=\"data row23 col29\" >0.16</td>\n",
       "      <td id=\"T_07e66_row23_col30\" class=\"data row23 col30\" >0.26</td>\n",
       "      <td id=\"T_07e66_row23_col31\" class=\"data row23 col31\" >0.27</td>\n",
       "      <td id=\"T_07e66_row23_col32\" class=\"data row23 col32\" >0.04</td>\n",
       "      <td id=\"T_07e66_row23_col33\" class=\"data row23 col33\" >0.33</td>\n",
       "      <td id=\"T_07e66_row23_col34\" class=\"data row23 col34\" >0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row24\" class=\"row_heading level0 row24\" >score_total</th>\n",
       "      <td id=\"T_07e66_row24_col0\" class=\"data row24 col0\" >0.29</td>\n",
       "      <td id=\"T_07e66_row24_col1\" class=\"data row24 col1\" >0.56</td>\n",
       "      <td id=\"T_07e66_row24_col2\" class=\"data row24 col2\" >-0.43</td>\n",
       "      <td id=\"T_07e66_row24_col3\" class=\"data row24 col3\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row24_col4\" class=\"data row24 col4\" >0.21</td>\n",
       "      <td id=\"T_07e66_row24_col5\" class=\"data row24 col5\" >0.88</td>\n",
       "      <td id=\"T_07e66_row24_col6\" class=\"data row24 col6\" >0.07</td>\n",
       "      <td id=\"T_07e66_row24_col7\" class=\"data row24 col7\" >0.21</td>\n",
       "      <td id=\"T_07e66_row24_col8\" class=\"data row24 col8\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row24_col9\" class=\"data row24 col9\" >0.75</td>\n",
       "      <td id=\"T_07e66_row24_col10\" class=\"data row24 col10\" >0.15</td>\n",
       "      <td id=\"T_07e66_row24_col11\" class=\"data row24 col11\" >0.87</td>\n",
       "      <td id=\"T_07e66_row24_col12\" class=\"data row24 col12\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row24_col13\" class=\"data row24 col13\" >0.10</td>\n",
       "      <td id=\"T_07e66_row24_col14\" class=\"data row24 col14\" >0.79</td>\n",
       "      <td id=\"T_07e66_row24_col15\" class=\"data row24 col15\" >0.00</td>\n",
       "      <td id=\"T_07e66_row24_col16\" class=\"data row24 col16\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row24_col17\" class=\"data row24 col17\" >0.89</td>\n",
       "      <td id=\"T_07e66_row24_col18\" class=\"data row24 col18\" >-0.27</td>\n",
       "      <td id=\"T_07e66_row24_col19\" class=\"data row24 col19\" >0.16</td>\n",
       "      <td id=\"T_07e66_row24_col20\" class=\"data row24 col20\" >0.02</td>\n",
       "      <td id=\"T_07e66_row24_col21\" class=\"data row24 col21\" >0.04</td>\n",
       "      <td id=\"T_07e66_row24_col22\" class=\"data row24 col22\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row24_col23\" class=\"data row24 col23\" >0.78</td>\n",
       "      <td id=\"T_07e66_row24_col24\" class=\"data row24 col24\" >1.00</td>\n",
       "      <td id=\"T_07e66_row24_col25\" class=\"data row24 col25\" >0.35</td>\n",
       "      <td id=\"T_07e66_row24_col26\" class=\"data row24 col26\" >0.35</td>\n",
       "      <td id=\"T_07e66_row24_col27\" class=\"data row24 col27\" >-0.13</td>\n",
       "      <td id=\"T_07e66_row24_col28\" class=\"data row24 col28\" >0.93</td>\n",
       "      <td id=\"T_07e66_row24_col29\" class=\"data row24 col29\" >0.26</td>\n",
       "      <td id=\"T_07e66_row24_col30\" class=\"data row24 col30\" >0.42</td>\n",
       "      <td id=\"T_07e66_row24_col31\" class=\"data row24 col31\" >0.47</td>\n",
       "      <td id=\"T_07e66_row24_col32\" class=\"data row24 col32\" >0.05</td>\n",
       "      <td id=\"T_07e66_row24_col33\" class=\"data row24 col33\" >0.54</td>\n",
       "      <td id=\"T_07e66_row24_col34\" class=\"data row24 col34\" >0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row25\" class=\"row_heading level0 row25\" >temperature_delta</th>\n",
       "      <td id=\"T_07e66_row25_col0\" class=\"data row25 col0\" >0.06</td>\n",
       "      <td id=\"T_07e66_row25_col1\" class=\"data row25 col1\" >0.24</td>\n",
       "      <td id=\"T_07e66_row25_col2\" class=\"data row25 col2\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row25_col3\" class=\"data row25 col3\" >0.39</td>\n",
       "      <td id=\"T_07e66_row25_col4\" class=\"data row25 col4\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row25_col5\" class=\"data row25 col5\" >0.31</td>\n",
       "      <td id=\"T_07e66_row25_col6\" class=\"data row25 col6\" >0.07</td>\n",
       "      <td id=\"T_07e66_row25_col7\" class=\"data row25 col7\" >0.50</td>\n",
       "      <td id=\"T_07e66_row25_col8\" class=\"data row25 col8\" >0.33</td>\n",
       "      <td id=\"T_07e66_row25_col9\" class=\"data row25 col9\" >0.33</td>\n",
       "      <td id=\"T_07e66_row25_col10\" class=\"data row25 col10\" >0.13</td>\n",
       "      <td id=\"T_07e66_row25_col11\" class=\"data row25 col11\" >0.33</td>\n",
       "      <td id=\"T_07e66_row25_col12\" class=\"data row25 col12\" >0.01</td>\n",
       "      <td id=\"T_07e66_row25_col13\" class=\"data row25 col13\" >0.03</td>\n",
       "      <td id=\"T_07e66_row25_col14\" class=\"data row25 col14\" >0.32</td>\n",
       "      <td id=\"T_07e66_row25_col15\" class=\"data row25 col15\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row25_col16\" class=\"data row25 col16\" >-0.30</td>\n",
       "      <td id=\"T_07e66_row25_col17\" class=\"data row25 col17\" >0.30</td>\n",
       "      <td id=\"T_07e66_row25_col18\" class=\"data row25 col18\" >-0.17</td>\n",
       "      <td id=\"T_07e66_row25_col19\" class=\"data row25 col19\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row25_col20\" class=\"data row25 col20\" >0.02</td>\n",
       "      <td id=\"T_07e66_row25_col21\" class=\"data row25 col21\" >0.06</td>\n",
       "      <td id=\"T_07e66_row25_col22\" class=\"data row25 col22\" >0.05</td>\n",
       "      <td id=\"T_07e66_row25_col23\" class=\"data row25 col23\" >0.27</td>\n",
       "      <td id=\"T_07e66_row25_col24\" class=\"data row25 col24\" >0.35</td>\n",
       "      <td id=\"T_07e66_row25_col25\" class=\"data row25 col25\" >1.00</td>\n",
       "      <td id=\"T_07e66_row25_col26\" class=\"data row25 col26\" >1.00</td>\n",
       "      <td id=\"T_07e66_row25_col27\" class=\"data row25 col27\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row25_col28\" class=\"data row25 col28\" >0.34</td>\n",
       "      <td id=\"T_07e66_row25_col29\" class=\"data row25 col29\" >0.70</td>\n",
       "      <td id=\"T_07e66_row25_col30\" class=\"data row25 col30\" >0.22</td>\n",
       "      <td id=\"T_07e66_row25_col31\" class=\"data row25 col31\" >0.28</td>\n",
       "      <td id=\"T_07e66_row25_col32\" class=\"data row25 col32\" >0.00</td>\n",
       "      <td id=\"T_07e66_row25_col33\" class=\"data row25 col33\" >0.23</td>\n",
       "      <td id=\"T_07e66_row25_col34\" class=\"data row25 col34\" >0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row26\" class=\"row_heading level0 row26\" >temperature_deviation</th>\n",
       "      <td id=\"T_07e66_row26_col0\" class=\"data row26 col0\" >0.06</td>\n",
       "      <td id=\"T_07e66_row26_col1\" class=\"data row26 col1\" >0.24</td>\n",
       "      <td id=\"T_07e66_row26_col2\" class=\"data row26 col2\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row26_col3\" class=\"data row26 col3\" >0.39</td>\n",
       "      <td id=\"T_07e66_row26_col4\" class=\"data row26 col4\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row26_col5\" class=\"data row26 col5\" >0.31</td>\n",
       "      <td id=\"T_07e66_row26_col6\" class=\"data row26 col6\" >0.07</td>\n",
       "      <td id=\"T_07e66_row26_col7\" class=\"data row26 col7\" >0.50</td>\n",
       "      <td id=\"T_07e66_row26_col8\" class=\"data row26 col8\" >0.33</td>\n",
       "      <td id=\"T_07e66_row26_col9\" class=\"data row26 col9\" >0.33</td>\n",
       "      <td id=\"T_07e66_row26_col10\" class=\"data row26 col10\" >0.13</td>\n",
       "      <td id=\"T_07e66_row26_col11\" class=\"data row26 col11\" >0.33</td>\n",
       "      <td id=\"T_07e66_row26_col12\" class=\"data row26 col12\" >0.01</td>\n",
       "      <td id=\"T_07e66_row26_col13\" class=\"data row26 col13\" >0.03</td>\n",
       "      <td id=\"T_07e66_row26_col14\" class=\"data row26 col14\" >0.32</td>\n",
       "      <td id=\"T_07e66_row26_col15\" class=\"data row26 col15\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row26_col16\" class=\"data row26 col16\" >-0.30</td>\n",
       "      <td id=\"T_07e66_row26_col17\" class=\"data row26 col17\" >0.30</td>\n",
       "      <td id=\"T_07e66_row26_col18\" class=\"data row26 col18\" >-0.17</td>\n",
       "      <td id=\"T_07e66_row26_col19\" class=\"data row26 col19\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row26_col20\" class=\"data row26 col20\" >0.02</td>\n",
       "      <td id=\"T_07e66_row26_col21\" class=\"data row26 col21\" >0.06</td>\n",
       "      <td id=\"T_07e66_row26_col22\" class=\"data row26 col22\" >0.05</td>\n",
       "      <td id=\"T_07e66_row26_col23\" class=\"data row26 col23\" >0.27</td>\n",
       "      <td id=\"T_07e66_row26_col24\" class=\"data row26 col24\" >0.35</td>\n",
       "      <td id=\"T_07e66_row26_col25\" class=\"data row26 col25\" >1.00</td>\n",
       "      <td id=\"T_07e66_row26_col26\" class=\"data row26 col26\" >1.00</td>\n",
       "      <td id=\"T_07e66_row26_col27\" class=\"data row26 col27\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row26_col28\" class=\"data row26 col28\" >0.34</td>\n",
       "      <td id=\"T_07e66_row26_col29\" class=\"data row26 col29\" >0.70</td>\n",
       "      <td id=\"T_07e66_row26_col30\" class=\"data row26 col30\" >0.22</td>\n",
       "      <td id=\"T_07e66_row26_col31\" class=\"data row26 col31\" >0.28</td>\n",
       "      <td id=\"T_07e66_row26_col32\" class=\"data row26 col32\" >0.00</td>\n",
       "      <td id=\"T_07e66_row26_col33\" class=\"data row26 col33\" >0.23</td>\n",
       "      <td id=\"T_07e66_row26_col34\" class=\"data row26 col34\" >0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row27\" class=\"row_heading level0 row27\" >timezone</th>\n",
       "      <td id=\"T_07e66_row27_col0\" class=\"data row27 col0\" >0.06</td>\n",
       "      <td id=\"T_07e66_row27_col1\" class=\"data row27 col1\" >0.02</td>\n",
       "      <td id=\"T_07e66_row27_col2\" class=\"data row27 col2\" >0.08</td>\n",
       "      <td id=\"T_07e66_row27_col3\" class=\"data row27 col3\" >0.03</td>\n",
       "      <td id=\"T_07e66_row27_col4\" class=\"data row27 col4\" >0.02</td>\n",
       "      <td id=\"T_07e66_row27_col5\" class=\"data row27 col5\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row27_col6\" class=\"data row27 col6\" >-0.11</td>\n",
       "      <td id=\"T_07e66_row27_col7\" class=\"data row27 col7\" >-0.11</td>\n",
       "      <td id=\"T_07e66_row27_col8\" class=\"data row27 col8\" >-0.16</td>\n",
       "      <td id=\"T_07e66_row27_col9\" class=\"data row27 col9\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row27_col10\" class=\"data row27 col10\" >0.04</td>\n",
       "      <td id=\"T_07e66_row27_col11\" class=\"data row27 col11\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row27_col12\" class=\"data row27 col12\" >0.00</td>\n",
       "      <td id=\"T_07e66_row27_col13\" class=\"data row27 col13\" >-0.08</td>\n",
       "      <td id=\"T_07e66_row27_col14\" class=\"data row27 col14\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row27_col15\" class=\"data row27 col15\" >0.17</td>\n",
       "      <td id=\"T_07e66_row27_col16\" class=\"data row27 col16\" >0.06</td>\n",
       "      <td id=\"T_07e66_row27_col17\" class=\"data row27 col17\" >-0.19</td>\n",
       "      <td id=\"T_07e66_row27_col18\" class=\"data row27 col18\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row27_col19\" class=\"data row27 col19\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row27_col20\" class=\"data row27 col20\" >-0.17</td>\n",
       "      <td id=\"T_07e66_row27_col21\" class=\"data row27 col21\" >-0.08</td>\n",
       "      <td id=\"T_07e66_row27_col22\" class=\"data row27 col22\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row27_col23\" class=\"data row27 col23\" >-0.16</td>\n",
       "      <td id=\"T_07e66_row27_col24\" class=\"data row27 col24\" >-0.13</td>\n",
       "      <td id=\"T_07e66_row27_col25\" class=\"data row27 col25\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row27_col26\" class=\"data row27 col26\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row27_col27\" class=\"data row27 col27\" >1.00</td>\n",
       "      <td id=\"T_07e66_row27_col28\" class=\"data row27 col28\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row27_col29\" class=\"data row27 col29\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row27_col30\" class=\"data row27 col30\" >0.01</td>\n",
       "      <td id=\"T_07e66_row27_col31\" class=\"data row27 col31\" >0.01</td>\n",
       "      <td id=\"T_07e66_row27_col32\" class=\"data row27 col32\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row27_col33\" class=\"data row27 col33\" >-0.38</td>\n",
       "      <td id=\"T_07e66_row27_col34\" class=\"data row27 col34\" >-0.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row28\" class=\"row_heading level0 row28\" >total</th>\n",
       "      <td id=\"T_07e66_row28_col0\" class=\"data row28 col0\" >0.35</td>\n",
       "      <td id=\"T_07e66_row28_col1\" class=\"data row28 col1\" >0.63</td>\n",
       "      <td id=\"T_07e66_row28_col2\" class=\"data row28 col2\" >-0.44</td>\n",
       "      <td id=\"T_07e66_row28_col3\" class=\"data row28 col3\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row28_col4\" class=\"data row28 col4\" >0.22</td>\n",
       "      <td id=\"T_07e66_row28_col5\" class=\"data row28 col5\" >0.96</td>\n",
       "      <td id=\"T_07e66_row28_col6\" class=\"data row28 col6\" >0.05</td>\n",
       "      <td id=\"T_07e66_row28_col7\" class=\"data row28 col7\" >0.23</td>\n",
       "      <td id=\"T_07e66_row28_col8\" class=\"data row28 col8\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row28_col9\" class=\"data row28 col9\" >0.81</td>\n",
       "      <td id=\"T_07e66_row28_col10\" class=\"data row28 col10\" >0.19</td>\n",
       "      <td id=\"T_07e66_row28_col11\" class=\"data row28 col11\" >0.95</td>\n",
       "      <td id=\"T_07e66_row28_col12\" class=\"data row28 col12\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row28_col13\" class=\"data row28 col13\" >0.09</td>\n",
       "      <td id=\"T_07e66_row28_col14\" class=\"data row28 col14\" >0.85</td>\n",
       "      <td id=\"T_07e66_row28_col15\" class=\"data row28 col15\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row28_col16\" class=\"data row28 col16\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row28_col17\" class=\"data row28 col17\" >0.79</td>\n",
       "      <td id=\"T_07e66_row28_col18\" class=\"data row28 col18\" >-0.29</td>\n",
       "      <td id=\"T_07e66_row28_col19\" class=\"data row28 col19\" >0.10</td>\n",
       "      <td id=\"T_07e66_row28_col20\" class=\"data row28 col20\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row28_col21\" class=\"data row28 col21\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row28_col22\" class=\"data row28 col22\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row28_col23\" class=\"data row28 col23\" >0.66</td>\n",
       "      <td id=\"T_07e66_row28_col24\" class=\"data row28 col24\" >0.93</td>\n",
       "      <td id=\"T_07e66_row28_col25\" class=\"data row28 col25\" >0.34</td>\n",
       "      <td id=\"T_07e66_row28_col26\" class=\"data row28 col26\" >0.34</td>\n",
       "      <td id=\"T_07e66_row28_col27\" class=\"data row28 col27\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row28_col28\" class=\"data row28 col28\" >1.00</td>\n",
       "      <td id=\"T_07e66_row28_col29\" class=\"data row28 col29\" >0.27</td>\n",
       "      <td id=\"T_07e66_row28_col30\" class=\"data row28 col30\" >0.46</td>\n",
       "      <td id=\"T_07e66_row28_col31\" class=\"data row28 col31\" >0.52</td>\n",
       "      <td id=\"T_07e66_row28_col32\" class=\"data row28 col32\" >0.03</td>\n",
       "      <td id=\"T_07e66_row28_col33\" class=\"data row28 col33\" >0.58</td>\n",
       "      <td id=\"T_07e66_row28_col34\" class=\"data row28 col34\" >0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row29\" class=\"row_heading level0 row29\" >temperature_trend_deviation</th>\n",
       "      <td id=\"T_07e66_row29_col0\" class=\"data row29 col0\" >0.10</td>\n",
       "      <td id=\"T_07e66_row29_col1\" class=\"data row29 col1\" >0.21</td>\n",
       "      <td id=\"T_07e66_row29_col2\" class=\"data row29 col2\" >-0.08</td>\n",
       "      <td id=\"T_07e66_row29_col3\" class=\"data row29 col3\" >0.39</td>\n",
       "      <td id=\"T_07e66_row29_col4\" class=\"data row29 col4\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row29_col5\" class=\"data row29 col5\" >0.27</td>\n",
       "      <td id=\"T_07e66_row29_col6\" class=\"data row29 col6\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row29_col7\" class=\"data row29 col7\" >0.36</td>\n",
       "      <td id=\"T_07e66_row29_col8\" class=\"data row29 col8\" >0.23</td>\n",
       "      <td id=\"T_07e66_row29_col9\" class=\"data row29 col9\" >0.31</td>\n",
       "      <td id=\"T_07e66_row29_col10\" class=\"data row29 col10\" >0.11</td>\n",
       "      <td id=\"T_07e66_row29_col11\" class=\"data row29 col11\" >0.27</td>\n",
       "      <td id=\"T_07e66_row29_col12\" class=\"data row29 col12\" >0.03</td>\n",
       "      <td id=\"T_07e66_row29_col13\" class=\"data row29 col13\" >0.02</td>\n",
       "      <td id=\"T_07e66_row29_col14\" class=\"data row29 col14\" >0.21</td>\n",
       "      <td id=\"T_07e66_row29_col15\" class=\"data row29 col15\" >0.04</td>\n",
       "      <td id=\"T_07e66_row29_col16\" class=\"data row29 col16\" >-0.22</td>\n",
       "      <td id=\"T_07e66_row29_col17\" class=\"data row29 col17\" >0.20</td>\n",
       "      <td id=\"T_07e66_row29_col18\" class=\"data row29 col18\" >-0.13</td>\n",
       "      <td id=\"T_07e66_row29_col19\" class=\"data row29 col19\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row29_col20\" class=\"data row29 col20\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row29_col21\" class=\"data row29 col21\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row29_col22\" class=\"data row29 col22\" >0.10</td>\n",
       "      <td id=\"T_07e66_row29_col23\" class=\"data row29 col23\" >0.16</td>\n",
       "      <td id=\"T_07e66_row29_col24\" class=\"data row29 col24\" >0.26</td>\n",
       "      <td id=\"T_07e66_row29_col25\" class=\"data row29 col25\" >0.70</td>\n",
       "      <td id=\"T_07e66_row29_col26\" class=\"data row29 col26\" >0.70</td>\n",
       "      <td id=\"T_07e66_row29_col27\" class=\"data row29 col27\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row29_col28\" class=\"data row29 col28\" >0.27</td>\n",
       "      <td id=\"T_07e66_row29_col29\" class=\"data row29 col29\" >1.00</td>\n",
       "      <td id=\"T_07e66_row29_col30\" class=\"data row29 col30\" >0.08</td>\n",
       "      <td id=\"T_07e66_row29_col31\" class=\"data row29 col31\" >0.19</td>\n",
       "      <td id=\"T_07e66_row29_col32\" class=\"data row29 col32\" >0.05</td>\n",
       "      <td id=\"T_07e66_row29_col33\" class=\"data row29 col33\" >0.21</td>\n",
       "      <td id=\"T_07e66_row29_col34\" class=\"data row29 col34\" >0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row30\" class=\"row_heading level0 row30\" >weekday</th>\n",
       "      <td id=\"T_07e66_row30_col0\" class=\"data row30 col0\" >0.13</td>\n",
       "      <td id=\"T_07e66_row30_col1\" class=\"data row30 col1\" >0.60</td>\n",
       "      <td id=\"T_07e66_row30_col2\" class=\"data row30 col2\" >0.20</td>\n",
       "      <td id=\"T_07e66_row30_col3\" class=\"data row30 col3\" >0.11</td>\n",
       "      <td id=\"T_07e66_row30_col4\" class=\"data row30 col4\" >0.18</td>\n",
       "      <td id=\"T_07e66_row30_col5\" class=\"data row30 col5\" >0.43</td>\n",
       "      <td id=\"T_07e66_row30_col6\" class=\"data row30 col6\" >0.05</td>\n",
       "      <td id=\"T_07e66_row30_col7\" class=\"data row30 col7\" >0.38</td>\n",
       "      <td id=\"T_07e66_row30_col8\" class=\"data row30 col8\" >0.24</td>\n",
       "      <td id=\"T_07e66_row30_col9\" class=\"data row30 col9\" >0.32</td>\n",
       "      <td id=\"T_07e66_row30_col10\" class=\"data row30 col10\" >0.50</td>\n",
       "      <td id=\"T_07e66_row30_col11\" class=\"data row30 col11\" >0.42</td>\n",
       "      <td id=\"T_07e66_row30_col12\" class=\"data row30 col12\" >-0.12</td>\n",
       "      <td id=\"T_07e66_row30_col13\" class=\"data row30 col13\" >0.11</td>\n",
       "      <td id=\"T_07e66_row30_col14\" class=\"data row30 col14\" >0.40</td>\n",
       "      <td id=\"T_07e66_row30_col15\" class=\"data row30 col15\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row30_col16\" class=\"data row30 col16\" >-0.15</td>\n",
       "      <td id=\"T_07e66_row30_col17\" class=\"data row30 col17\" >0.22</td>\n",
       "      <td id=\"T_07e66_row30_col18\" class=\"data row30 col18\" >-0.54</td>\n",
       "      <td id=\"T_07e66_row30_col19\" class=\"data row30 col19\" >0.04</td>\n",
       "      <td id=\"T_07e66_row30_col20\" class=\"data row30 col20\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row30_col21\" class=\"data row30 col21\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row30_col22\" class=\"data row30 col22\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row30_col23\" class=\"data row30 col23\" >0.26</td>\n",
       "      <td id=\"T_07e66_row30_col24\" class=\"data row30 col24\" >0.42</td>\n",
       "      <td id=\"T_07e66_row30_col25\" class=\"data row30 col25\" >0.22</td>\n",
       "      <td id=\"T_07e66_row30_col26\" class=\"data row30 col26\" >0.22</td>\n",
       "      <td id=\"T_07e66_row30_col27\" class=\"data row30 col27\" >0.01</td>\n",
       "      <td id=\"T_07e66_row30_col28\" class=\"data row30 col28\" >0.46</td>\n",
       "      <td id=\"T_07e66_row30_col29\" class=\"data row30 col29\" >0.08</td>\n",
       "      <td id=\"T_07e66_row30_col30\" class=\"data row30 col30\" >1.00</td>\n",
       "      <td id=\"T_07e66_row30_col31\" class=\"data row30 col31\" >0.78</td>\n",
       "      <td id=\"T_07e66_row30_col32\" class=\"data row30 col32\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row30_col33\" class=\"data row30 col33\" >0.52</td>\n",
       "      <td id=\"T_07e66_row30_col34\" class=\"data row30 col34\" >-0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row31\" class=\"row_heading level0 row31\" >weekend</th>\n",
       "      <td id=\"T_07e66_row31_col0\" class=\"data row31 col0\" >0.16</td>\n",
       "      <td id=\"T_07e66_row31_col1\" class=\"data row31 col1\" >0.72</td>\n",
       "      <td id=\"T_07e66_row31_col2\" class=\"data row31 col2\" >0.26</td>\n",
       "      <td id=\"T_07e66_row31_col3\" class=\"data row31 col3\" >0.23</td>\n",
       "      <td id=\"T_07e66_row31_col4\" class=\"data row31 col4\" >0.08</td>\n",
       "      <td id=\"T_07e66_row31_col5\" class=\"data row31 col5\" >0.49</td>\n",
       "      <td id=\"T_07e66_row31_col6\" class=\"data row31 col6\" >0.01</td>\n",
       "      <td id=\"T_07e66_row31_col7\" class=\"data row31 col7\" >0.48</td>\n",
       "      <td id=\"T_07e66_row31_col8\" class=\"data row31 col8\" >0.26</td>\n",
       "      <td id=\"T_07e66_row31_col9\" class=\"data row31 col9\" >0.43</td>\n",
       "      <td id=\"T_07e66_row31_col10\" class=\"data row31 col10\" >0.62</td>\n",
       "      <td id=\"T_07e66_row31_col11\" class=\"data row31 col11\" >0.48</td>\n",
       "      <td id=\"T_07e66_row31_col12\" class=\"data row31 col12\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row31_col13\" class=\"data row31 col13\" >0.09</td>\n",
       "      <td id=\"T_07e66_row31_col14\" class=\"data row31 col14\" >0.45</td>\n",
       "      <td id=\"T_07e66_row31_col15\" class=\"data row31 col15\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row31_col16\" class=\"data row31 col16\" >-0.21</td>\n",
       "      <td id=\"T_07e66_row31_col17\" class=\"data row31 col17\" >0.21</td>\n",
       "      <td id=\"T_07e66_row31_col18\" class=\"data row31 col18\" >-0.64</td>\n",
       "      <td id=\"T_07e66_row31_col19\" class=\"data row31 col19\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row31_col20\" class=\"data row31 col20\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row31_col21\" class=\"data row31 col21\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row31_col22\" class=\"data row31 col22\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row31_col23\" class=\"data row31 col23\" >0.27</td>\n",
       "      <td id=\"T_07e66_row31_col24\" class=\"data row31 col24\" >0.47</td>\n",
       "      <td id=\"T_07e66_row31_col25\" class=\"data row31 col25\" >0.28</td>\n",
       "      <td id=\"T_07e66_row31_col26\" class=\"data row31 col26\" >0.28</td>\n",
       "      <td id=\"T_07e66_row31_col27\" class=\"data row31 col27\" >0.01</td>\n",
       "      <td id=\"T_07e66_row31_col28\" class=\"data row31 col28\" >0.52</td>\n",
       "      <td id=\"T_07e66_row31_col29\" class=\"data row31 col29\" >0.19</td>\n",
       "      <td id=\"T_07e66_row31_col30\" class=\"data row31 col30\" >0.78</td>\n",
       "      <td id=\"T_07e66_row31_col31\" class=\"data row31 col31\" >1.00</td>\n",
       "      <td id=\"T_07e66_row31_col32\" class=\"data row31 col32\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row31_col33\" class=\"data row31 col33\" >0.63</td>\n",
       "      <td id=\"T_07e66_row31_col34\" class=\"data row31 col34\" >-0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row32\" class=\"row_heading level0 row32\" >bedtime_start_hour</th>\n",
       "      <td id=\"T_07e66_row32_col0\" class=\"data row32 col0\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row32_col1\" class=\"data row32 col1\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row32_col2\" class=\"data row32 col2\" >-0.06</td>\n",
       "      <td id=\"T_07e66_row32_col3\" class=\"data row32 col3\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row32_col4\" class=\"data row32 col4\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row32_col5\" class=\"data row32 col5\" >0.01</td>\n",
       "      <td id=\"T_07e66_row32_col6\" class=\"data row32 col6\" >0.04</td>\n",
       "      <td id=\"T_07e66_row32_col7\" class=\"data row32 col7\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row32_col8\" class=\"data row32 col8\" >0.02</td>\n",
       "      <td id=\"T_07e66_row32_col9\" class=\"data row32 col9\" >0.03</td>\n",
       "      <td id=\"T_07e66_row32_col10\" class=\"data row32 col10\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row32_col11\" class=\"data row32 col11\" >0.02</td>\n",
       "      <td id=\"T_07e66_row32_col12\" class=\"data row32 col12\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row32_col13\" class=\"data row32 col13\" >0.06</td>\n",
       "      <td id=\"T_07e66_row32_col14\" class=\"data row32 col14\" >0.03</td>\n",
       "      <td id=\"T_07e66_row32_col15\" class=\"data row32 col15\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row32_col16\" class=\"data row32 col16\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row32_col17\" class=\"data row32 col17\" >0.09</td>\n",
       "      <td id=\"T_07e66_row32_col18\" class=\"data row32 col18\" >0.09</td>\n",
       "      <td id=\"T_07e66_row32_col19\" class=\"data row32 col19\" >0.01</td>\n",
       "      <td id=\"T_07e66_row32_col20\" class=\"data row32 col20\" >0.05</td>\n",
       "      <td id=\"T_07e66_row32_col21\" class=\"data row32 col21\" >0.03</td>\n",
       "      <td id=\"T_07e66_row32_col22\" class=\"data row32 col22\" >0.04</td>\n",
       "      <td id=\"T_07e66_row32_col23\" class=\"data row32 col23\" >0.04</td>\n",
       "      <td id=\"T_07e66_row32_col24\" class=\"data row32 col24\" >0.05</td>\n",
       "      <td id=\"T_07e66_row32_col25\" class=\"data row32 col25\" >0.00</td>\n",
       "      <td id=\"T_07e66_row32_col26\" class=\"data row32 col26\" >0.00</td>\n",
       "      <td id=\"T_07e66_row32_col27\" class=\"data row32 col27\" >-0.10</td>\n",
       "      <td id=\"T_07e66_row32_col28\" class=\"data row32 col28\" >0.03</td>\n",
       "      <td id=\"T_07e66_row32_col29\" class=\"data row32 col29\" >0.05</td>\n",
       "      <td id=\"T_07e66_row32_col30\" class=\"data row32 col30\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row32_col31\" class=\"data row32 col31\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row32_col32\" class=\"data row32 col32\" >1.00</td>\n",
       "      <td id=\"T_07e66_row32_col33\" class=\"data row32 col33\" >0.00</td>\n",
       "      <td id=\"T_07e66_row32_col34\" class=\"data row32 col34\" >-0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row33\" class=\"row_heading level0 row33\" >bedtime_end_hour</th>\n",
       "      <td id=\"T_07e66_row33_col0\" class=\"data row33 col0\" >0.40</td>\n",
       "      <td id=\"T_07e66_row33_col1\" class=\"data row33 col1\" >0.90</td>\n",
       "      <td id=\"T_07e66_row33_col2\" class=\"data row33 col2\" >0.32</td>\n",
       "      <td id=\"T_07e66_row33_col3\" class=\"data row33 col3\" >0.04</td>\n",
       "      <td id=\"T_07e66_row33_col4\" class=\"data row33 col4\" >0.10</td>\n",
       "      <td id=\"T_07e66_row33_col5\" class=\"data row33 col5\" >0.62</td>\n",
       "      <td id=\"T_07e66_row33_col6\" class=\"data row33 col6\" >-0.16</td>\n",
       "      <td id=\"T_07e66_row33_col7\" class=\"data row33 col7\" >0.38</td>\n",
       "      <td id=\"T_07e66_row33_col8\" class=\"data row33 col8\" >0.23</td>\n",
       "      <td id=\"T_07e66_row33_col9\" class=\"data row33 col9\" >0.46</td>\n",
       "      <td id=\"T_07e66_row33_col10\" class=\"data row33 col10\" >0.77</td>\n",
       "      <td id=\"T_07e66_row33_col11\" class=\"data row33 col11\" >0.61</td>\n",
       "      <td id=\"T_07e66_row33_col12\" class=\"data row33 col12\" >-0.05</td>\n",
       "      <td id=\"T_07e66_row33_col13\" class=\"data row33 col13\" >0.19</td>\n",
       "      <td id=\"T_07e66_row33_col14\" class=\"data row33 col14\" >0.53</td>\n",
       "      <td id=\"T_07e66_row33_col15\" class=\"data row33 col15\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row33_col16\" class=\"data row33 col16\" >-0.21</td>\n",
       "      <td id=\"T_07e66_row33_col17\" class=\"data row33 col17\" >0.24</td>\n",
       "      <td id=\"T_07e66_row33_col18\" class=\"data row33 col18\" >-0.78</td>\n",
       "      <td id=\"T_07e66_row33_col19\" class=\"data row33 col19\" >0.03</td>\n",
       "      <td id=\"T_07e66_row33_col20\" class=\"data row33 col20\" >0.03</td>\n",
       "      <td id=\"T_07e66_row33_col21\" class=\"data row33 col21\" >-0.23</td>\n",
       "      <td id=\"T_07e66_row33_col22\" class=\"data row33 col22\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row33_col23\" class=\"data row33 col23\" >0.33</td>\n",
       "      <td id=\"T_07e66_row33_col24\" class=\"data row33 col24\" >0.54</td>\n",
       "      <td id=\"T_07e66_row33_col25\" class=\"data row33 col25\" >0.23</td>\n",
       "      <td id=\"T_07e66_row33_col26\" class=\"data row33 col26\" >0.23</td>\n",
       "      <td id=\"T_07e66_row33_col27\" class=\"data row33 col27\" >-0.38</td>\n",
       "      <td id=\"T_07e66_row33_col28\" class=\"data row33 col28\" >0.58</td>\n",
       "      <td id=\"T_07e66_row33_col29\" class=\"data row33 col29\" >0.21</td>\n",
       "      <td id=\"T_07e66_row33_col30\" class=\"data row33 col30\" >0.52</td>\n",
       "      <td id=\"T_07e66_row33_col31\" class=\"data row33 col31\" >0.63</td>\n",
       "      <td id=\"T_07e66_row33_col32\" class=\"data row33 col32\" >0.00</td>\n",
       "      <td id=\"T_07e66_row33_col33\" class=\"data row33 col33\" >1.00</td>\n",
       "      <td id=\"T_07e66_row33_col34\" class=\"data row33 col34\" >-0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_07e66_level0_row34\" class=\"row_heading level0 row34\" >score_next</th>\n",
       "      <td id=\"T_07e66_row34_col0\" class=\"data row34 col0\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row34_col1\" class=\"data row34 col1\" >-0.07</td>\n",
       "      <td id=\"T_07e66_row34_col2\" class=\"data row34 col2\" >-0.08</td>\n",
       "      <td id=\"T_07e66_row34_col3\" class=\"data row34 col3\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row34_col4\" class=\"data row34 col4\" >0.01</td>\n",
       "      <td id=\"T_07e66_row34_col5\" class=\"data row34 col5\" >0.00</td>\n",
       "      <td id=\"T_07e66_row34_col6\" class=\"data row34 col6\" >0.01</td>\n",
       "      <td id=\"T_07e66_row34_col7\" class=\"data row34 col7\" >0.02</td>\n",
       "      <td id=\"T_07e66_row34_col8\" class=\"data row34 col8\" >0.03</td>\n",
       "      <td id=\"T_07e66_row34_col9\" class=\"data row34 col9\" >0.01</td>\n",
       "      <td id=\"T_07e66_row34_col10\" class=\"data row34 col10\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row34_col11\" class=\"data row34 col11\" >0.00</td>\n",
       "      <td id=\"T_07e66_row34_col12\" class=\"data row34 col12\" >0.12</td>\n",
       "      <td id=\"T_07e66_row34_col13\" class=\"data row34 col13\" >-0.04</td>\n",
       "      <td id=\"T_07e66_row34_col14\" class=\"data row34 col14\" >-0.02</td>\n",
       "      <td id=\"T_07e66_row34_col15\" class=\"data row34 col15\" >0.04</td>\n",
       "      <td id=\"T_07e66_row34_col16\" class=\"data row34 col16\" >-0.01</td>\n",
       "      <td id=\"T_07e66_row34_col17\" class=\"data row34 col17\" >0.09</td>\n",
       "      <td id=\"T_07e66_row34_col18\" class=\"data row34 col18\" >0.08</td>\n",
       "      <td id=\"T_07e66_row34_col19\" class=\"data row34 col19\" >0.03</td>\n",
       "      <td id=\"T_07e66_row34_col20\" class=\"data row34 col20\" >0.02</td>\n",
       "      <td id=\"T_07e66_row34_col21\" class=\"data row34 col21\" >0.00</td>\n",
       "      <td id=\"T_07e66_row34_col22\" class=\"data row34 col22\" >0.13</td>\n",
       "      <td id=\"T_07e66_row34_col23\" class=\"data row34 col23\" >0.04</td>\n",
       "      <td id=\"T_07e66_row34_col24\" class=\"data row34 col24\" >0.04</td>\n",
       "      <td id=\"T_07e66_row34_col25\" class=\"data row34 col25\" >0.03</td>\n",
       "      <td id=\"T_07e66_row34_col26\" class=\"data row34 col26\" >0.03</td>\n",
       "      <td id=\"T_07e66_row34_col27\" class=\"data row34 col27\" >-0.13</td>\n",
       "      <td id=\"T_07e66_row34_col28\" class=\"data row34 col28\" >0.00</td>\n",
       "      <td id=\"T_07e66_row34_col29\" class=\"data row34 col29\" >0.06</td>\n",
       "      <td id=\"T_07e66_row34_col30\" class=\"data row34 col30\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row34_col31\" class=\"data row34 col31\" >-0.09</td>\n",
       "      <td id=\"T_07e66_row34_col32\" class=\"data row34 col32\" >-0.03</td>\n",
       "      <td id=\"T_07e66_row34_col33\" class=\"data row34 col33\" >-0.00</td>\n",
       "      <td id=\"T_07e66_row34_col34\" class=\"data row34 col34\" >1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f8f2d7040a0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Here is the fast and easy way to plot correlations\n",
    "corr = df.corr()\n",
    "corr.style.background_gradient(cmap='coolwarm')\n",
    "corr.style.background_gradient(cmap='coolwarm').set_precision(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Does my daily activity effect my next night's sleep score?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 504 entries, 2020-08-18 to 2022-01-07\n",
      "Data columns (total 36 columns):\n",
      " #   Column                    Non-Null Count  Dtype  \n",
      "---  ------                    --------------  -----  \n",
      " 0   average_met               504 non-null    float64\n",
      " 1   cal_active                504 non-null    int64  \n",
      " 2   cal_total                 504 non-null    int64  \n",
      " 3   class_5min                504 non-null    object \n",
      " 4   daily_movement            504 non-null    int64  \n",
      " 5   day_end                   504 non-null    object \n",
      " 6   day_start                 504 non-null    object \n",
      " 7   high                      504 non-null    int64  \n",
      " 8   inactive                  504 non-null    int64  \n",
      " 9   inactivity_alerts         504 non-null    int64  \n",
      " 10  low                       504 non-null    int64  \n",
      " 11  medium                    504 non-null    int64  \n",
      " 12  met_1min                  504 non-null    object \n",
      " 13  met_min_high              504 non-null    int64  \n",
      " 14  met_min_inactive          504 non-null    int64  \n",
      " 15  met_min_low               504 non-null    int64  \n",
      " 16  met_min_medium            504 non-null    int64  \n",
      " 17  non_wear                  504 non-null    int64  \n",
      " 18  rest                      504 non-null    int64  \n",
      " 19  score                     504 non-null    int64  \n",
      " 20  score_meet_daily_targets  504 non-null    int64  \n",
      " 21  score_move_every_hour     504 non-null    int64  \n",
      " 22  score_recovery_time       504 non-null    int64  \n",
      " 23  score_stay_active         504 non-null    int64  \n",
      " 24  score_training_frequency  504 non-null    int64  \n",
      " 25  score_training_volume     504 non-null    int64  \n",
      " 26  steps                     504 non-null    int64  \n",
      " 27  summary_date              504 non-null    object \n",
      " 28  target_calories           504 non-null    int64  \n",
      " 29  target_km                 504 non-null    float64\n",
      " 30  target_miles              504 non-null    float64\n",
      " 31  timezone                  504 non-null    int64  \n",
      " 32  to_target_km              504 non-null    float64\n",
      " 33  to_target_miles           504 non-null    float64\n",
      " 34  total                     504 non-null    int64  \n",
      " 35  rest_mode_state           368 non-null    float64\n",
      "dtypes: float64(6), int64(25), object(5)\n",
      "memory usage: 145.7+ KB\n"
     ]
    }
   ],
   "source": [
    "full_activity_df = pd.DataFrame.from_dict(data['activity'])\n",
    "# Index by summary_date aka day when activity period started, 4AM\n",
    "full_activity_df['datetime'] = pd.to_datetime(full_activity_df['summary_date']).dt.normalize()\n",
    "full_activity_df.head()\n",
    "full_activity_df = full_activity_df.set_index('datetime')\n",
    "full_activity_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Join activity with sleep score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>average_met</th>\n",
       "      <th>cal_active</th>\n",
       "      <th>cal_total</th>\n",
       "      <th>class_5min</th>\n",
       "      <th>daily_movement</th>\n",
       "      <th>day_end</th>\n",
       "      <th>day_start</th>\n",
       "      <th>high</th>\n",
       "      <th>inactive</th>\n",
       "      <th>inactivity_alerts</th>\n",
       "      <th>...</th>\n",
       "      <th>summary_date</th>\n",
       "      <th>target_calories</th>\n",
       "      <th>target_km</th>\n",
       "      <th>target_miles</th>\n",
       "      <th>timezone</th>\n",
       "      <th>to_target_km</th>\n",
       "      <th>to_target_miles</th>\n",
       "      <th>total</th>\n",
       "      <th>rest_mode_state</th>\n",
       "      <th>score_sleep</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-08-19</th>\n",
       "      <td>1.50000</td>\n",
       "      <td>509</td>\n",
       "      <td>2621</td>\n",
       "      <td>1111111111111111111111122332222222222223322222...</td>\n",
       "      <td>7929</td>\n",
       "      <td>2020-08-20T03:59:59+03:00</td>\n",
       "      <td>2020-08-19T04:00:00+03:00</td>\n",
       "      <td>31</td>\n",
       "      <td>811</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2020-08-19</td>\n",
       "      <td>300</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.728226</td>\n",
       "      <td>180</td>\n",
       "      <td>-3.9</td>\n",
       "      <td>-2.423347</td>\n",
       "      <td>221</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-20</th>\n",
       "      <td>1.46875</td>\n",
       "      <td>376</td>\n",
       "      <td>2525</td>\n",
       "      <td>1111111111111111111111122233222222222233333222...</td>\n",
       "      <td>5886</td>\n",
       "      <td>2020-08-21T03:59:59+03:00</td>\n",
       "      <td>2020-08-20T04:00:00+03:00</td>\n",
       "      <td>19</td>\n",
       "      <td>851</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>2020-08-20</td>\n",
       "      <td>450</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.592339</td>\n",
       "      <td>180</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.932057</td>\n",
       "      <td>207</td>\n",
       "      <td>NaN</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-21</th>\n",
       "      <td>1.37500</td>\n",
       "      <td>263</td>\n",
       "      <td>2388</td>\n",
       "      <td>1111111111111111111111122233222222222222333322...</td>\n",
       "      <td>4249</td>\n",
       "      <td>2020-08-22T03:59:59+03:00</td>\n",
       "      <td>2020-08-21T04:00:00+03:00</td>\n",
       "      <td>8</td>\n",
       "      <td>833</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>2020-08-21</td>\n",
       "      <td>450</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.592339</td>\n",
       "      <td>180</td>\n",
       "      <td>3.7</td>\n",
       "      <td>2.299073</td>\n",
       "      <td>171</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-22</th>\n",
       "      <td>1.28125</td>\n",
       "      <td>214</td>\n",
       "      <td>2242</td>\n",
       "      <td>1111111111111111111111111111111111111111112223...</td>\n",
       "      <td>4156</td>\n",
       "      <td>2020-08-23T03:59:59+03:00</td>\n",
       "      <td>2020-08-22T04:00:00+03:00</td>\n",
       "      <td>0</td>\n",
       "      <td>620</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2020-08-22</td>\n",
       "      <td>450</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.592339</td>\n",
       "      <td>180</td>\n",
       "      <td>4.7</td>\n",
       "      <td>2.920444</td>\n",
       "      <td>207</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-23</th>\n",
       "      <td>1.21875</td>\n",
       "      <td>137</td>\n",
       "      <td>2147</td>\n",
       "      <td>1111111111111111111111111111111111111111112233...</td>\n",
       "      <td>2412</td>\n",
       "      <td>2020-08-24T03:59:59+03:00</td>\n",
       "      <td>2020-08-23T04:00:00+03:00</td>\n",
       "      <td>0</td>\n",
       "      <td>525</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>2020-08-23</td>\n",
       "      <td>450</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.592339</td>\n",
       "      <td>180</td>\n",
       "      <td>6.2</td>\n",
       "      <td>3.852500</td>\n",
       "      <td>164</td>\n",
       "      <td>NaN</td>\n",
       "      <td>73.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            average_met  cal_active  cal_total  \\\n",
       "datetime                                         \n",
       "2020-08-19      1.50000         509       2621   \n",
       "2020-08-20      1.46875         376       2525   \n",
       "2020-08-21      1.37500         263       2388   \n",
       "2020-08-22      1.28125         214       2242   \n",
       "2020-08-23      1.21875         137       2147   \n",
       "\n",
       "                                                   class_5min  daily_movement  \\\n",
       "datetime                                                                        \n",
       "2020-08-19  1111111111111111111111122332222222222223322222...            7929   \n",
       "2020-08-20  1111111111111111111111122233222222222233333222...            5886   \n",
       "2020-08-21  1111111111111111111111122233222222222222333322...            4249   \n",
       "2020-08-22  1111111111111111111111111111111111111111112223...            4156   \n",
       "2020-08-23  1111111111111111111111111111111111111111112233...            2412   \n",
       "\n",
       "                              day_end                  day_start  high  \\\n",
       "datetime                                                                 \n",
       "2020-08-19  2020-08-20T03:59:59+03:00  2020-08-19T04:00:00+03:00    31   \n",
       "2020-08-20  2020-08-21T03:59:59+03:00  2020-08-20T04:00:00+03:00    19   \n",
       "2020-08-21  2020-08-22T03:59:59+03:00  2020-08-21T04:00:00+03:00     8   \n",
       "2020-08-22  2020-08-23T03:59:59+03:00  2020-08-22T04:00:00+03:00     0   \n",
       "2020-08-23  2020-08-24T03:59:59+03:00  2020-08-23T04:00:00+03:00     0   \n",
       "\n",
       "            inactive  inactivity_alerts  ...  summary_date  target_calories  \\\n",
       "datetime                                 ...                                  \n",
       "2020-08-19       811                  1  ...    2020-08-19              300   \n",
       "2020-08-20       851                  2  ...    2020-08-20              450   \n",
       "2020-08-21       833                  2  ...    2020-08-21              450   \n",
       "2020-08-22       620                  1  ...    2020-08-22              450   \n",
       "2020-08-23       525                  1  ...    2020-08-23              450   \n",
       "\n",
       "           target_km  target_miles  timezone  to_target_km  to_target_miles  \\\n",
       "datetime                                                                      \n",
       "2020-08-19       6.0      3.728226       180          -3.9        -2.423347   \n",
       "2020-08-20       9.0      5.592339       180           1.5         0.932057   \n",
       "2020-08-21       9.0      5.592339       180           3.7         2.299073   \n",
       "2020-08-22       9.0      5.592339       180           4.7         2.920444   \n",
       "2020-08-23       9.0      5.592339       180           6.2         3.852500   \n",
       "\n",
       "            total  rest_mode_state  score_sleep  \n",
       "datetime                                         \n",
       "2020-08-19    221              NaN         78.0  \n",
       "2020-08-20    207              NaN         76.0  \n",
       "2020-08-21    171              NaN         87.0  \n",
       "2020-08-22    207              NaN         81.0  \n",
       "2020-08-23    164              NaN         73.0  \n",
       "\n",
       "[5 rows x 37 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_next = df['score'] # Create another subset of data to compare\n",
    "df_next = df_next.shift(periods=-1, axis=0, fill_value=0) # Shift back by one (compare days data with next days score)\n",
    "full_activity_df = full_activity_df.join(df_next, lsuffix='_activity', rsuffix='_sleep') # Join to original df with a new name\n",
    "\n",
    "# Cleanup the data a bit by dropping NaN and 0 values\n",
    "full_activity_df = full_activity_df.dropna(subset=['score_sleep'])\n",
    "\n",
    "full_activity_df.head()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inactivity_alerts          -0.228648\n",
      "score_meet_daily_targets   -0.176195\n",
      "high                       -0.144201\n",
      "met_min_high               -0.142457\n",
      "timezone                   -0.138509\n",
      "score_training_volume      -0.131180\n",
      "score_training_frequency   -0.120894\n",
      "average_met                -0.120347\n",
      "daily_movement             -0.118415\n",
      "cal_active                 -0.103285\n",
      "inactive                   -0.088068\n",
      "score_activity             -0.085842\n",
      "met_min_medium             -0.001942\n",
      "steps                      -0.001700\n",
      "non_wear                    0.000162\n",
      "medium                      0.004790\n",
      "cal_total                   0.012674\n",
      "rest_mode_state             0.036164\n",
      "score_recovery_time         0.073219\n",
      "total                       0.096146\n",
      "met_min_low                 0.103738\n",
      "target_km                   0.120219\n",
      "target_miles                0.120219\n",
      "target_calories             0.135230\n",
      "to_target_km                0.142746\n",
      "to_target_miles             0.142746\n",
      "low                         0.151778\n",
      "met_min_inactive            0.159882\n",
      "score_stay_active           0.208074\n",
      "score_move_every_hour       0.237256\n",
      "rest                        0.308278\n",
      "score_sleep                 1.000000\n",
      "Name: score_sleep, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "#corr = full_activity_df.corr()\n",
    "#corr.style.background_gradient(cmap='coolwarm')\n",
    "#corr.style.background_gradient(cmap='coolwarm').set_precision(2)\n",
    "\n",
    "\n",
    "corr = full_activity_df.corr()['score_sleep'].sort_values()\n",
    "with pd.option_context('display.max_rows', None, 'display.max_columns', None):  # more options can be specified also\n",
    "    print(corr)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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