experiments_python.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Experiment Example\n",
    "\n",
    "The purpose of this notebook is to provide an example for basic A/B Testing (Experiment) analysis and hypothesis testing."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Statements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "code_folding": []
   },
   "outputs": [],
   "source": [
    "# General \n",
    "import datetime\n",
    "from datetime import date\n",
    "import os\n",
    "\n",
    "# Notebook Specific\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "\n",
    "# Data Analysis/Statistics\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import scipy.stats as stats\n",
    "\n",
    "import statsmodels.formula.api as smf\n",
    "import statsmodels.stats.multicomp as multi\n",
    "import scipy\n",
    "from scipy.stats import pearsonr\n",
    "# import pandas as pd\n",
    "from seaborn import regplot\n",
    "import matplotlib.pyplot as plt\n",
    "# import numpy as np\n",
    "import seaborn as sns\n",
    "\n",
    "# Visualization\n",
    "import plotly as ply\n",
    "import plotly.graph_objs as go\n",
    "import ipywidgets as widgets\n",
    "import plotly.express as px\n",
    "import plotly.io as pio"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Notebook Settings and Custom Functions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Notebook Settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Allows multiple outputs per cell\n",
    "InteractiveShell.ast_node_interactivity = \"all\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Show all columns, rows, and set the float format to display 2 decimal places\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "pd.set_option('display.float_format', lambda x: '%.2f' % x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Sets Plotly to offline mode so everything renders locally and not via the web API.\n",
    "ply.offline.init_notebook_mode(connected=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Ingestion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read in .csv\n",
    "df = pd.read_csv('spot_the_fake_smile.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Preparation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "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>StartDate</th>\n",
       "      <th>EndDate</th>\n",
       "      <th>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12/4/18 2:24</td>\n",
       "      <td>12/4/18 2:27</td>\n",
       "      <td>100</td>\n",
       "      <td>205</td>\n",
       "      <td>1</td>\n",
       "      <td>12.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12/4/18 2:24</td>\n",
       "      <td>12/4/18 2:29</td>\n",
       "      <td>100</td>\n",
       "      <td>267</td>\n",
       "      <td>1</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12/4/18 2:24</td>\n",
       "      <td>12/4/18 2:31</td>\n",
       "      <td>100</td>\n",
       "      <td>441</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>18.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>13</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12/4/18 2:25</td>\n",
       "      <td>12/4/18 2:31</td>\n",
       "      <td>100</td>\n",
       "      <td>347</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>18.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>13</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12/4/18 2:26</td>\n",
       "      <td>12/4/18 2:32</td>\n",
       "      <td>100</td>\n",
       "      <td>378</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>14</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      StartDate       EndDate  Progress  Duration  Finished  Estimation  \\\n",
       "0  12/4/18 2:24  12/4/18 2:27       100       205         1       12.00   \n",
       "1  12/4/18 2:24  12/4/18 2:29       100       267         1       15.00   \n",
       "2  12/4/18 2:24  12/4/18 2:31       100       441         1       10.00   \n",
       "3  12/4/18 2:25  12/4/18 2:31       100       347         1       10.00   \n",
       "4  12/4/18 2:26  12/4/18 2:32       100       378         1       10.00   \n",
       "\n",
       "   Gender   Age  Related Job   Q6   Q7   Q8  Q11  Q12  Q13  Q14  Q15  Q16  \\\n",
       "0    2.00 17.00         6.00 0.00 1.00 0.00 1.00 1.00 0.00 0.00 0.00 0.00   \n",
       "1    2.00 17.00         6.00 0.00 1.00 1.00 0.00 1.00 0.00 0.00 1.00 0.00   \n",
       "2    2.00 18.00         6.00 0.00 1.00 1.00 1.00 0.00 0.00 1.00 1.00 1.00   \n",
       "3    2.00 18.00         6.00 0.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00   \n",
       "4    2.00 17.00         6.00 1.00 1.00 0.00 1.00 0.00 1.00 1.00 0.00 1.00   \n",
       "\n",
       "   Q17  Q18  Q19  Q20  Q21  Q22  Q23  Q24  Q25  Q26  Q27  Score  \\\n",
       "0 1.00 0.00 0.00 1.00 0.00 0.00 1.00 0.00 1.00 0.00 0.00     11   \n",
       "1 0.00 0.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 0.00 0.00     11   \n",
       "2 0.00 0.00 0.00 1.00 1.00 1.00 0.00  nan  nan  nan  nan     13   \n",
       "3 0.00 0.00 1.00 1.00 0.00 0.00 0.00 1.00 0.00 0.00 1.00     13   \n",
       "4 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00     14   \n",
       "\n",
       "   Control Group  Doc AND Video Group  Video Group  Document Group  \n",
       "0           1.00                  nan          nan             nan  \n",
       "1           1.00                  nan          nan             nan  \n",
       "2           1.00                  nan          nan             nan  \n",
       "3           1.00                  nan          nan             nan  \n",
       "4           1.00                  nan          nan             nan  "
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>711.00</td>\n",
       "      <td>711.00</td>\n",
       "      <td>711.00</td>\n",
       "      <td>554.00</td>\n",
       "      <td>593.00</td>\n",
       "      <td>569.00</td>\n",
       "      <td>581.00</td>\n",
       "      <td>570.00</td>\n",
       "      <td>561.00</td>\n",
       "      <td>560.00</td>\n",
       "      <td>562.00</td>\n",
       "      <td>563.00</td>\n",
       "      <td>560.00</td>\n",
       "      <td>560.00</td>\n",
       "      <td>559.00</td>\n",
       "      <td>559.00</td>\n",
       "      <td>559.00</td>\n",
       "      <td>559.00</td>\n",
       "      <td>559.00</td>\n",
       "      <td>556.00</td>\n",
       "      <td>558.00</td>\n",
       "      <td>558.00</td>\n",
       "      <td>557.00</td>\n",
       "      <td>554.00</td>\n",
       "      <td>557.00</td>\n",
       "      <td>558.00</td>\n",
       "      <td>559.00</td>\n",
       "      <td>711.00</td>\n",
       "      <td>165.00</td>\n",
       "      <td>159.00</td>\n",
       "      <td>190.00</td>\n",
       "      <td>197.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>96.42</td>\n",
       "      <td>1805.54</td>\n",
       "      <td>0.84</td>\n",
       "      <td>12.55</td>\n",
       "      <td>1.63</td>\n",
       "      <td>21.04</td>\n",
       "      <td>5.75</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.92</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.62</td>\n",
       "      <td>11.60</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.25</td>\n",
       "      <td>9899.52</td>\n",
       "      <td>0.37</td>\n",
       "      <td>4.68</td>\n",
       "      <td>0.48</td>\n",
       "      <td>11.89</td>\n",
       "      <td>0.59</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.48</td>\n",
       "      <td>6.51</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>75.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>182.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>283.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>13.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>14.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>475.50</td>\n",
       "      <td>1.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>21.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>100.00</td>\n",
       "      <td>99822.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>29.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>83.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Progress  Duration  Finished  Estimation  Gender    Age  Related Job  \\\n",
       "count    711.00    711.00    711.00      554.00  593.00 569.00       581.00   \n",
       "mean      96.42   1805.54      0.84       12.55    1.63  21.04         5.75   \n",
       "std        8.25   9899.52      0.37        4.68    0.48  11.89         0.59   \n",
       "min       75.00      5.00      0.00        0.00    1.00   2.00         4.00   \n",
       "25%      100.00    182.00      1.00       10.00    1.00  15.00         6.00   \n",
       "50%      100.00    283.00      1.00       13.00    2.00  17.00         6.00   \n",
       "75%      100.00    475.50      1.00       15.00    2.00  21.00         6.00   \n",
       "max      100.00  99822.00      1.00       29.00    2.00  83.00         6.00   \n",
       "\n",
       "          Q6     Q7     Q8    Q11    Q12    Q13    Q14    Q15    Q16    Q17  \\\n",
       "count 570.00 561.00 560.00 562.00 563.00 560.00 560.00 559.00 559.00 559.00   \n",
       "mean    0.32   0.79   0.48   0.78   0.21   0.18   0.81   0.24   0.79   0.19   \n",
       "std     0.47   0.41   0.50   0.42   0.41   0.39   0.40   0.43   0.41   0.39   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   1.00   0.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "50%     0.00   1.00   0.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "75%     1.00   1.00   1.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "         Q18    Q19    Q20    Q21    Q22    Q23    Q24    Q25    Q26    Q27  \\\n",
       "count 559.00 559.00 556.00 558.00 558.00 557.00 554.00 557.00 558.00 559.00   \n",
       "mean    0.31   0.74   0.88   0.70   0.37   0.26   0.46   0.92   0.20   0.62   \n",
       "std     0.46   0.44   0.33   0.46   0.48   0.44   0.50   0.28   0.40   0.48   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   0.00   1.00   0.00   0.00   0.00   0.00   1.00   0.00   0.00   \n",
       "50%     0.00   1.00   1.00   1.00   0.00   0.00   0.00   1.00   0.00   1.00   \n",
       "75%     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   0.00   1.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "       Score  Control Group  Doc AND Video Group  Video Group  Document Group  \n",
       "count 711.00         165.00               159.00       190.00          197.00  \n",
       "mean   11.60           1.00                 1.00         1.00            1.00  \n",
       "std     6.51           0.00                 0.00         0.00            0.00  \n",
       "min     0.00           1.00                 1.00         1.00            1.00  \n",
       "25%     9.00           1.00                 1.00         1.00            1.00  \n",
       "50%    14.00           1.00                 1.00         1.00            1.00  \n",
       "75%    17.00           1.00                 1.00         1.00            1.00  \n",
       "max    20.00           1.00                 1.00         1.00            1.00  "
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Shows the first 5 columns by default (insert a number in the parentheses if you want to see more or less)\n",
    "df.head()\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we'll need to create some additional dataframes. Specifically, we need:\n",
    "\n",
    "- Control group\n",
    "- Video *and* Document test group\n",
    "- Video only test group\n",
    "- Document only test group\n",
    "\n",
    "But before we split into groups, we first need to filter out only the completed surveys for analysis. As the descriptive statistics above show, not everyone finished. (We'll address attrition later.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create Dataframes for Each Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "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>StartDate</th>\n",
       "      <th>EndDate</th>\n",
       "      <th>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12/4/18 2:24</td>\n",
       "      <td>12/4/18 2:27</td>\n",
       "      <td>100</td>\n",
       "      <td>205</td>\n",
       "      <td>1</td>\n",
       "      <td>12.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12/4/18 2:24</td>\n",
       "      <td>12/4/18 2:29</td>\n",
       "      <td>100</td>\n",
       "      <td>267</td>\n",
       "      <td>1</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12/4/18 2:24</td>\n",
       "      <td>12/4/18 2:31</td>\n",
       "      <td>100</td>\n",
       "      <td>441</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>18.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>13</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12/4/18 2:25</td>\n",
       "      <td>12/4/18 2:31</td>\n",
       "      <td>100</td>\n",
       "      <td>347</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>18.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>13</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12/4/18 2:26</td>\n",
       "      <td>12/4/18 2:32</td>\n",
       "      <td>100</td>\n",
       "      <td>378</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>14</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      StartDate       EndDate  Progress  Duration  Finished  Estimation  \\\n",
       "0  12/4/18 2:24  12/4/18 2:27       100       205         1       12.00   \n",
       "1  12/4/18 2:24  12/4/18 2:29       100       267         1       15.00   \n",
       "2  12/4/18 2:24  12/4/18 2:31       100       441         1       10.00   \n",
       "3  12/4/18 2:25  12/4/18 2:31       100       347         1       10.00   \n",
       "4  12/4/18 2:26  12/4/18 2:32       100       378         1       10.00   \n",
       "\n",
       "   Gender   Age  Related Job   Q6   Q7   Q8  Q11  Q12  Q13  Q14  Q15  Q16  \\\n",
       "0    2.00 17.00         6.00 0.00 1.00 0.00 1.00 1.00 0.00 0.00 0.00 0.00   \n",
       "1    2.00 17.00         6.00 0.00 1.00 1.00 0.00 1.00 0.00 0.00 1.00 0.00   \n",
       "2    2.00 18.00         6.00 0.00 1.00 1.00 1.00 0.00 0.00 1.00 1.00 1.00   \n",
       "3    2.00 18.00         6.00 0.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00   \n",
       "4    2.00 17.00         6.00 1.00 1.00 0.00 1.00 0.00 1.00 1.00 0.00 1.00   \n",
       "\n",
       "   Q17  Q18  Q19  Q20  Q21  Q22  Q23  Q24  Q25  Q26  Q27  Score  \\\n",
       "0 1.00 0.00 0.00 1.00 0.00 0.00 1.00 0.00 1.00 0.00 0.00     11   \n",
       "1 0.00 0.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 0.00 0.00     11   \n",
       "2 0.00 0.00 0.00 1.00 1.00 1.00 0.00  nan  nan  nan  nan     13   \n",
       "3 0.00 0.00 1.00 1.00 0.00 0.00 0.00 1.00 0.00 0.00 1.00     13   \n",
       "4 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00     14   \n",
       "\n",
       "   Control Group  Doc AND Video Group  Video Group  Document Group  \n",
       "0           1.00                  nan          nan             nan  \n",
       "1           1.00                  nan          nan             nan  \n",
       "2           1.00                  nan          nan             nan  \n",
       "3           1.00                  nan          nan             nan  \n",
       "4           1.00                  nan          nan             nan  "
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "count   598.00\n",
       "mean      1.00\n",
       "std       0.00\n",
       "min       1.00\n",
       "25%       1.00\n",
       "50%       1.00\n",
       "75%       1.00\n",
       "max       1.00\n",
       "Name: Finished, dtype: float64"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Completed only\n",
    "dfComplete = df.loc[df['Finished'] == 1]\n",
    "dfComplete.head()\n",
    "dfComplete['Finished'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "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>StartDate</th>\n",
       "      <th>EndDate</th>\n",
       "      <th>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12/4/18 2:24</td>\n",
       "      <td>12/4/18 2:27</td>\n",
       "      <td>100</td>\n",
       "      <td>205</td>\n",
       "      <td>1</td>\n",
       "      <td>12.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12/4/18 2:24</td>\n",
       "      <td>12/4/18 2:29</td>\n",
       "      <td>100</td>\n",
       "      <td>267</td>\n",
       "      <td>1</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12/4/18 2:24</td>\n",
       "      <td>12/4/18 2:31</td>\n",
       "      <td>100</td>\n",
       "      <td>441</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>18.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>13</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12/4/18 2:25</td>\n",
       "      <td>12/4/18 2:31</td>\n",
       "      <td>100</td>\n",
       "      <td>347</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>18.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>13</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12/4/18 2:26</td>\n",
       "      <td>12/4/18 2:32</td>\n",
       "      <td>100</td>\n",
       "      <td>378</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>14</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      StartDate       EndDate  Progress  Duration  Finished  Estimation  \\\n",
       "0  12/4/18 2:24  12/4/18 2:27       100       205         1       12.00   \n",
       "1  12/4/18 2:24  12/4/18 2:29       100       267         1       15.00   \n",
       "2  12/4/18 2:24  12/4/18 2:31       100       441         1       10.00   \n",
       "3  12/4/18 2:25  12/4/18 2:31       100       347         1       10.00   \n",
       "4  12/4/18 2:26  12/4/18 2:32       100       378         1       10.00   \n",
       "\n",
       "   Gender   Age  Related Job   Q6   Q7   Q8  Q11  Q12  Q13  Q14  Q15  Q16  \\\n",
       "0    2.00 17.00         6.00 0.00 1.00 0.00 1.00 1.00 0.00 0.00 0.00 0.00   \n",
       "1    2.00 17.00         6.00 0.00 1.00 1.00 0.00 1.00 0.00 0.00 1.00 0.00   \n",
       "2    2.00 18.00         6.00 0.00 1.00 1.00 1.00 0.00 0.00 1.00 1.00 1.00   \n",
       "3    2.00 18.00         6.00 0.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00   \n",
       "4    2.00 17.00         6.00 1.00 1.00 0.00 1.00 0.00 1.00 1.00 0.00 1.00   \n",
       "\n",
       "   Q17  Q18  Q19  Q20  Q21  Q22  Q23  Q24  Q25  Q26  Q27  Score  \\\n",
       "0 1.00 0.00 0.00 1.00 0.00 0.00 1.00 0.00 1.00 0.00 0.00     11   \n",
       "1 0.00 0.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 0.00 0.00     11   \n",
       "2 0.00 0.00 0.00 1.00 1.00 1.00 0.00  nan  nan  nan  nan     13   \n",
       "3 0.00 0.00 1.00 1.00 0.00 0.00 0.00 1.00 0.00 0.00 1.00     13   \n",
       "4 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00     14   \n",
       "\n",
       "   Control Group  Doc AND Video Group  Video Group  Document Group  \n",
       "0           1.00                  nan          nan             nan  \n",
       "1           1.00                  nan          nan             nan  \n",
       "2           1.00                  nan          nan             nan  \n",
       "3           1.00                  nan          nan             nan  \n",
       "4           1.00                  nan          nan             nan  "
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>154.00</td>\n",
       "      <td>154.00</td>\n",
       "      <td>154.00</td>\n",
       "      <td>124.00</td>\n",
       "      <td>131.00</td>\n",
       "      <td>126.00</td>\n",
       "      <td>129.00</td>\n",
       "      <td>148.00</td>\n",
       "      <td>148.00</td>\n",
       "      <td>148.00</td>\n",
       "      <td>148.00</td>\n",
       "      <td>147.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>145.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>145.00</td>\n",
       "      <td>143.00</td>\n",
       "      <td>145.00</td>\n",
       "      <td>145.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>154.00</td>\n",
       "      <td>154.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>100.00</td>\n",
       "      <td>2685.62</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.50</td>\n",
       "      <td>1.61</td>\n",
       "      <td>20.56</td>\n",
       "      <td>5.74</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.86</td>\n",
       "      <td>0.61</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.23</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.34</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.71</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.56</td>\n",
       "      <td>13.64</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.00</td>\n",
       "      <td>14122.34</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.59</td>\n",
       "      <td>0.49</td>\n",
       "      <td>12.92</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.45</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>100.00</td>\n",
       "      <td>28.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>7.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>203.50</td>\n",
       "      <td>1.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>13.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>283.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>14.50</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>415.50</td>\n",
       "      <td>1.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>21.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>100.00</td>\n",
       "      <td>99299.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>29.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>83.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Progress  Duration  Finished  Estimation  Gender    Age  Related Job  \\\n",
       "count    154.00    154.00    154.00      124.00  131.00 126.00       129.00   \n",
       "mean     100.00   2685.62      1.00       12.50    1.61  20.56         5.74   \n",
       "std        0.00  14122.34      0.00        4.59    0.49  12.92         0.60   \n",
       "min      100.00     28.00      1.00        1.00    1.00   7.00         4.00   \n",
       "25%      100.00    203.50      1.00       10.00    1.00  13.00         6.00   \n",
       "50%      100.00    283.00      1.00       12.00    2.00  17.00         6.00   \n",
       "75%      100.00    415.50      1.00       15.00    2.00  21.00         6.00   \n",
       "max      100.00  99299.00      1.00       29.00    2.00  83.00         6.00   \n",
       "\n",
       "          Q6     Q7     Q8    Q11    Q12    Q13    Q14    Q15    Q16    Q17  \\\n",
       "count 148.00 148.00 148.00 148.00 147.00 146.00 146.00 146.00 145.00 146.00   \n",
       "mean    0.33   0.86   0.61   0.72   0.29   0.23   0.76   0.29   0.67   0.27   \n",
       "std     0.47   0.35   0.49   0.45   0.45   0.42   0.43   0.45   0.47   0.45   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   1.00   0.00   0.00   0.00   0.00   1.00   0.00   0.00   0.00   \n",
       "50%     0.00   1.00   1.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "75%     1.00   1.00   1.00   1.00   1.00   0.00   1.00   1.00   1.00   1.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "         Q18    Q19    Q20    Q21    Q22    Q23    Q24    Q25    Q26    Q27  \\\n",
       "count 146.00 146.00 146.00 146.00 146.00 145.00 143.00 145.00 145.00 146.00   \n",
       "mean    0.34   0.67   0.88   0.71   0.31   0.28   0.39   0.91   0.26   0.56   \n",
       "std     0.47   0.47   0.33   0.45   0.46   0.45   0.49   0.29   0.44   0.50   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   0.00   1.00   0.00   0.00   0.00   0.00   1.00   0.00   0.00   \n",
       "50%     0.00   1.00   1.00   1.00   0.00   0.00   0.00   1.00   0.00   1.00   \n",
       "75%     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "       Score  Control Group  Doc AND Video Group  Video Group  Document Group  \n",
       "count 154.00         154.00                 0.00         0.00            0.00  \n",
       "mean   13.64           1.00                  nan          nan             nan  \n",
       "std     4.45           0.00                  nan          nan             nan  \n",
       "min     0.00           1.00                  nan          nan             nan  \n",
       "25%    12.00           1.00                  nan          nan             nan  \n",
       "50%    14.50           1.00                  nan          nan             nan  \n",
       "75%    17.00           1.00                  nan          nan             nan  \n",
       "max    20.00           1.00                  nan          nan             nan  "
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Control Group\n",
    "dfControl = dfComplete.loc[dfComplete['Control Group'] == 1]\n",
    "dfControl.head()\n",
    "dfControl.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "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>StartDate</th>\n",
       "      <th>EndDate</th>\n",
       "      <th>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>12/4/18 2:24</td>\n",
       "      <td>12/4/18 2:29</td>\n",
       "      <td>100</td>\n",
       "      <td>277</td>\n",
       "      <td>1</td>\n",
       "      <td>12.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>17</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>12/4/18 2:25</td>\n",
       "      <td>12/4/18 2:30</td>\n",
       "      <td>100</td>\n",
       "      <td>256</td>\n",
       "      <td>1</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>15</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>12/4/18 2:24</td>\n",
       "      <td>12/4/18 2:30</td>\n",
       "      <td>100</td>\n",
       "      <td>364</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>18</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>12/4/18 2:24</td>\n",
       "      <td>12/4/18 2:31</td>\n",
       "      <td>100</td>\n",
       "      <td>457</td>\n",
       "      <td>1</td>\n",
       "      <td>15.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>18.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>18</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>12/4/18 3:19</td>\n",
       "      <td>12/4/18 3:24</td>\n",
       "      <td>100</td>\n",
       "      <td>268</td>\n",
       "      <td>1</td>\n",
       "      <td>nan</td>\n",
       "      <td>2.00</td>\n",
       "      <td>19.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>17</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        StartDate       EndDate  Progress  Duration  Finished  Estimation  \\\n",
       "154  12/4/18 2:24  12/4/18 2:29       100       277         1       12.00   \n",
       "155  12/4/18 2:25  12/4/18 2:30       100       256         1       15.00   \n",
       "156  12/4/18 2:24  12/4/18 2:30       100       364         1       10.00   \n",
       "157  12/4/18 2:24  12/4/18 2:31       100       457         1       15.00   \n",
       "158  12/4/18 3:19  12/4/18 3:24       100       268         1         nan   \n",
       "\n",
       "     Gender   Age  Related Job   Q6   Q7   Q8  Q11  Q12  Q13  Q14  Q15  Q16  \\\n",
       "154    2.00 17.00         6.00 0.00 1.00 0.00 1.00 0.00 0.00 1.00 1.00 1.00   \n",
       "155    2.00 17.00         6.00 0.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 0.00   \n",
       "156    2.00 17.00         6.00 0.00 1.00 1.00 1.00 0.00 0.00 1.00 0.00 0.00   \n",
       "157    1.00 18.00         6.00 0.00 1.00 0.00 1.00 0.00 0.00 1.00 0.00 1.00   \n",
       "158    2.00 19.00         6.00 0.00 1.00 0.00 1.00 0.00 0.00 1.00 0.00 1.00   \n",
       "\n",
       "     Q17  Q18  Q19  Q20  Q21  Q22  Q23  Q24  Q25  Q26  Q27  Score  \\\n",
       "154 0.00 0.00 1.00 1.00 1.00 0.00 0.00 1.00 1.00 0.00 1.00     17   \n",
       "155 0.00 0.00 1.00 1.00 1.00 1.00 0.00 1.00 1.00 0.00 1.00     15   \n",
       "156 0.00 0.00 1.00 1.00 1.00 1.00 0.00 0.00 1.00 0.00 1.00     18   \n",
       "157 0.00 0.00 1.00 1.00 0.00 0.00 0.00 0.00 1.00 0.00 1.00     18   \n",
       "158 0.00 0.00 1.00 1.00 1.00 1.00 0.00 1.00 1.00 0.00 1.00     17   \n",
       "\n",
       "     Control Group  Doc AND Video Group  Video Group  Document Group  \n",
       "154            nan                 1.00          nan             nan  \n",
       "155            nan                 1.00          nan             nan  \n",
       "156            nan                 1.00          nan             nan  \n",
       "157            nan                 1.00          nan             nan  \n",
       "158            nan                 1.00          nan             nan  "
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>139.00</td>\n",
       "      <td>139.00</td>\n",
       "      <td>139.00</td>\n",
       "      <td>106.00</td>\n",
       "      <td>115.00</td>\n",
       "      <td>109.00</td>\n",
       "      <td>110.00</td>\n",
       "      <td>132.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>129.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>129.00</td>\n",
       "      <td>129.00</td>\n",
       "      <td>129.00</td>\n",
       "      <td>129.00</td>\n",
       "      <td>139.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>139.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>100.00</td>\n",
       "      <td>1437.10</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.50</td>\n",
       "      <td>1.62</td>\n",
       "      <td>21.72</td>\n",
       "      <td>5.73</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.85</td>\n",
       "      <td>0.68</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.57</td>\n",
       "      <td>13.59</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.00</td>\n",
       "      <td>8675.68</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.58</td>\n",
       "      <td>0.49</td>\n",
       "      <td>12.64</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.45</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>100.00</td>\n",
       "      <td>14.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>223.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>14.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>320.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>515.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>21.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>100.00</td>\n",
       "      <td>99822.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>22.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>69.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Progress  Duration  Finished  Estimation  Gender    Age  Related Job  \\\n",
       "count    139.00    139.00    139.00      106.00  115.00 109.00       110.00   \n",
       "mean     100.00   1437.10      1.00       12.50    1.62  21.72         5.73   \n",
       "std        0.00   8675.68      0.00        4.58    0.49  12.64         0.60   \n",
       "min      100.00     14.00      1.00        1.00    1.00   2.00         4.00   \n",
       "25%      100.00    223.00      1.00       10.00    1.00  14.00         6.00   \n",
       "50%      100.00    320.00      1.00       12.00    2.00  17.00         6.00   \n",
       "75%      100.00    515.00      1.00       15.00    2.00  21.00         6.00   \n",
       "max      100.00  99822.00      1.00       22.00    2.00  69.00         6.00   \n",
       "\n",
       "          Q6     Q7     Q8    Q11    Q12    Q13    Q14    Q15    Q16    Q17  \\\n",
       "count 132.00 130.00 130.00 130.00 130.00 130.00 130.00 130.00 130.00 129.00   \n",
       "mean    0.33   0.73   0.41   0.80   0.19   0.15   0.83   0.32   0.78   0.14   \n",
       "std     0.47   0.45   0.49   0.40   0.40   0.35   0.38   0.47   0.42   0.35   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   0.00   0.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "50%     0.00   1.00   0.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "75%     1.00   1.00   1.00   1.00   0.00   0.00   1.00   1.00   1.00   0.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "         Q18    Q19    Q20    Q21    Q22    Q23    Q24    Q25    Q26    Q27  \\\n",
       "count 130.00 130.00 130.00 130.00 130.00 130.00 129.00 129.00 129.00 129.00   \n",
       "mean    0.35   0.76   0.85   0.68   0.39   0.22   0.47   0.91   0.20   0.57   \n",
       "std     0.48   0.43   0.35   0.47   0.49   0.42   0.50   0.29   0.40   0.50   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   1.00   1.00   0.00   0.00   0.00   0.00   1.00   0.00   0.00   \n",
       "50%     0.00   1.00   1.00   1.00   0.00   0.00   0.00   1.00   0.00   1.00   \n",
       "75%     1.00   1.00   1.00   1.00   1.00   0.00   1.00   1.00   0.00   1.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "       Score  Control Group  Doc AND Video Group  Video Group  Document Group  \n",
       "count 139.00           0.00               139.00         0.00            0.00  \n",
       "mean   13.59            nan                 1.00          nan             nan  \n",
       "std     4.45            nan                 0.00          nan             nan  \n",
       "min     0.00            nan                 1.00          nan             nan  \n",
       "25%    12.00            nan                 1.00          nan             nan  \n",
       "50%    15.00            nan                 1.00          nan             nan  \n",
       "75%    17.00            nan                 1.00          nan             nan  \n",
       "max    20.00            nan                 1.00          nan             nan  "
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Video AND Document Test Group \n",
    "dfVidDoc = dfComplete.loc[dfComplete['Doc AND Video Group'] == 1]\n",
    "dfVidDoc.head()\n",
    "dfVidDoc.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "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>StartDate</th>\n",
       "      <th>EndDate</th>\n",
       "      <th>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>11/29/18 11:50</td>\n",
       "      <td>11/29/18 11:58</td>\n",
       "      <td>100</td>\n",
       "      <td>517</td>\n",
       "      <td>1</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>17</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>12/10/18 8:59</td>\n",
       "      <td>12/10/18 9:04</td>\n",
       "      <td>100</td>\n",
       "      <td>289</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>40.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>11/30/18 11:11</td>\n",
       "      <td>11/30/18 11:23</td>\n",
       "      <td>100</td>\n",
       "      <td>730</td>\n",
       "      <td>1</td>\n",
       "      <td>5.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>27.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>16</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>12/10/18 12:53</td>\n",
       "      <td>12/10/18 12:57</td>\n",
       "      <td>100</td>\n",
       "      <td>223</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>18</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>12/7/18 15:49</td>\n",
       "      <td>12/7/18 15:54</td>\n",
       "      <td>100</td>\n",
       "      <td>266</td>\n",
       "      <td>1</td>\n",
       "      <td>11.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>19</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          StartDate         EndDate  Progress  Duration  Finished  Estimation  \\\n",
       "293  11/29/18 11:50  11/29/18 11:58       100       517         1       15.00   \n",
       "294   12/10/18 8:59   12/10/18 9:04       100       289         1       10.00   \n",
       "295  11/30/18 11:11  11/30/18 11:23       100       730         1        5.00   \n",
       "296  12/10/18 12:53  12/10/18 12:57       100       223         1       10.00   \n",
       "297   12/7/18 15:49   12/7/18 15:54       100       266         1       11.00   \n",
       "\n",
       "     Gender   Age  Related Job   Q6   Q7   Q8  Q11  Q12  Q13  Q14  Q15  Q16  \\\n",
       "293    2.00 16.00         6.00 0.00 1.00 0.00 1.00 0.00 0.00 1.00 0.00 1.00   \n",
       "294    2.00 40.00         6.00 1.00 1.00 0.00 1.00 0.00 1.00 1.00 0.00 1.00   \n",
       "295    2.00 27.00         6.00 0.00 1.00 0.00 1.00 0.00 0.00 1.00 1.00 1.00   \n",
       "296    2.00 16.00         6.00 0.00 1.00 0.00 1.00 0.00 0.00 1.00 0.00 1.00   \n",
       "297    2.00 20.00         6.00 0.00 1.00 1.00 1.00 0.00 0.00 1.00 0.00 1.00   \n",
       "\n",
       "     Q17  Q18  Q19  Q20  Q21  Q22  Q23  Q24  Q25  Q26  Q27  Score  \\\n",
       "293 0.00 0.00 1.00 1.00 1.00 0.00 0.00 1.00 1.00 0.00 0.00     17   \n",
       "294 0.00 0.00 1.00 1.00 1.00 0.00 0.00 1.00 1.00 1.00 0.00     14   \n",
       "295 0.00 0.00 1.00 1.00 1.00 1.00 0.00 0.00 1.00 0.00 0.00     16   \n",
       "296 0.00 0.00 1.00 1.00 1.00 0.00 0.00 1.00 1.00 0.00 1.00     18   \n",
       "297 0.00 0.00 1.00 1.00 1.00 1.00 0.00 0.00 1.00 0.00 1.00     19   \n",
       "\n",
       "     Control Group  Doc AND Video Group  Video Group  Document Group  \n",
       "293            nan                  nan         1.00             nan  \n",
       "294            nan                  nan         1.00             nan  \n",
       "295            nan                  nan         1.00             nan  \n",
       "296            nan                  nan         1.00             nan  \n",
       "297            nan                  nan         1.00             nan  "
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>153.00</td>\n",
       "      <td>153.00</td>\n",
       "      <td>153.00</td>\n",
       "      <td>132.00</td>\n",
       "      <td>137.00</td>\n",
       "      <td>132.00</td>\n",
       "      <td>135.00</td>\n",
       "      <td>143.00</td>\n",
       "      <td>138.00</td>\n",
       "      <td>136.00</td>\n",
       "      <td>138.00</td>\n",
       "      <td>139.00</td>\n",
       "      <td>138.00</td>\n",
       "      <td>138.00</td>\n",
       "      <td>138.00</td>\n",
       "      <td>138.00</td>\n",
       "      <td>138.00</td>\n",
       "      <td>137.00</td>\n",
       "      <td>137.00</td>\n",
       "      <td>135.00</td>\n",
       "      <td>136.00</td>\n",
       "      <td>136.00</td>\n",
       "      <td>136.00</td>\n",
       "      <td>136.00</td>\n",
       "      <td>135.00</td>\n",
       "      <td>136.00</td>\n",
       "      <td>136.00</td>\n",
       "      <td>153.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>153.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>100.00</td>\n",
       "      <td>763.41</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.14</td>\n",
       "      <td>1.67</td>\n",
       "      <td>20.96</td>\n",
       "      <td>5.88</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.52</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.85</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.73</td>\n",
       "      <td>13.81</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.00</td>\n",
       "      <td>3792.24</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.68</td>\n",
       "      <td>0.47</td>\n",
       "      <td>11.73</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.45</td>\n",
       "      <td>5.28</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>100.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>205.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>294.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>11.50</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>473.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>100.00</td>\n",
       "      <td>46154.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>72.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Progress  Duration  Finished  Estimation  Gender    Age  Related Job  \\\n",
       "count    153.00    153.00    153.00      132.00  137.00 132.00       135.00   \n",
       "mean     100.00    763.41      1.00       12.14    1.67  20.96         5.88   \n",
       "std        0.00   3792.24      0.00        4.68    0.47  11.73         0.41   \n",
       "min      100.00     15.00      1.00        0.00    1.00   5.00         4.00   \n",
       "25%      100.00    205.00      1.00       10.00    1.00  16.00         6.00   \n",
       "50%      100.00    294.00      1.00       11.50    2.00  17.00         6.00   \n",
       "75%      100.00    473.00      1.00       15.00    2.00  20.00         6.00   \n",
       "max      100.00  46154.00      1.00       20.00    2.00  72.00         6.00   \n",
       "\n",
       "          Q6     Q7     Q8    Q11    Q12    Q13    Q14    Q15    Q16    Q17  \\\n",
       "count 143.00 138.00 136.00 138.00 139.00 138.00 138.00 138.00 138.00 138.00   \n",
       "mean    0.29   0.79   0.52   0.80   0.16   0.21   0.79   0.20   0.85   0.12   \n",
       "std     0.45   0.41   0.50   0.40   0.37   0.41   0.41   0.40   0.36   0.32   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   1.00   0.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "50%     0.00   1.00   1.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "75%     1.00   1.00   1.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "         Q18    Q19    Q20    Q21    Q22    Q23    Q24    Q25    Q26    Q27  \\\n",
       "count 137.00 137.00 135.00 136.00 136.00 136.00 136.00 135.00 136.00 136.00   \n",
       "mean    0.26   0.76   0.87   0.75   0.36   0.18   0.45   0.91   0.15   0.73   \n",
       "std     0.44   0.43   0.33   0.43   0.48   0.38   0.50   0.29   0.36   0.45   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   1.00   1.00   0.75   0.00   0.00   0.00   1.00   0.00   0.00   \n",
       "50%     0.00   1.00   1.00   1.00   0.00   0.00   0.00   1.00   0.00   1.00   \n",
       "75%     1.00   1.00   1.00   1.00   1.00   0.00   1.00   1.00   0.00   1.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "       Score  Control Group  Doc AND Video Group  Video Group  Document Group  \n",
       "count 153.00           0.00                 0.00       153.00            0.00  \n",
       "mean   13.81            nan                  nan         1.00             nan  \n",
       "std     5.28            nan                  nan         0.00             nan  \n",
       "min     0.00            nan                  nan         1.00             nan  \n",
       "25%    12.00            nan                  nan         1.00             nan  \n",
       "50%    16.00            nan                  nan         1.00             nan  \n",
       "75%    17.00            nan                  nan         1.00             nan  \n",
       "max    20.00            nan                  nan         1.00             nan  "
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Video Test Group\n",
    "dfVideo = dfComplete.loc[dfComplete['Video Group'] == 1]\n",
    "dfVideo.head()\n",
    "dfVideo.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "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>StartDate</th>\n",
       "      <th>EndDate</th>\n",
       "      <th>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>11/29/18 12:51</td>\n",
       "      <td>11/29/18 12:54</td>\n",
       "      <td>100</td>\n",
       "      <td>232</td>\n",
       "      <td>1</td>\n",
       "      <td>5.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>13.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>16</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>12/10/18 9:19</td>\n",
       "      <td>12/10/18 9:31</td>\n",
       "      <td>100</td>\n",
       "      <td>693</td>\n",
       "      <td>1</td>\n",
       "      <td>20.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>28.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>16</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>11/30/18 15:53</td>\n",
       "      <td>11/30/18 15:56</td>\n",
       "      <td>100</td>\n",
       "      <td>231</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>14</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>12/10/18 12:58</td>\n",
       "      <td>12/10/18 13:30</td>\n",
       "      <td>100</td>\n",
       "      <td>1943</td>\n",
       "      <td>1</td>\n",
       "      <td>14.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>17</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>12/9/18 8:52</td>\n",
       "      <td>12/9/18 8:58</td>\n",
       "      <td>100</td>\n",
       "      <td>390</td>\n",
       "      <td>1</td>\n",
       "      <td>16.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>19.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>14</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          StartDate         EndDate  Progress  Duration  Finished  Estimation  \\\n",
       "446  11/29/18 12:51  11/29/18 12:54       100       232         1        5.00   \n",
       "447   12/10/18 9:19   12/10/18 9:31       100       693         1       20.00   \n",
       "448  11/30/18 15:53  11/30/18 15:56       100       231         1       10.00   \n",
       "449  12/10/18 12:58  12/10/18 13:30       100      1943         1       14.00   \n",
       "450    12/9/18 8:52    12/9/18 8:58       100       390         1       16.00   \n",
       "\n",
       "     Gender   Age  Related Job   Q6   Q7   Q8  Q11  Q12  Q13  Q14  Q15  Q16  \\\n",
       "446    2.00 13.00         5.00 0.00 1.00 0.00 1.00 0.00 0.00 1.00 1.00 1.00   \n",
       "447    1.00 28.00         4.00 1.00 1.00 1.00 0.00 0.00 0.00 1.00 0.00 1.00   \n",
       "448    2.00 17.00          nan 0.00  nan 0.00 1.00 1.00 0.00 1.00 0.00 1.00   \n",
       "449    2.00 16.00         6.00 0.00 1.00 0.00 1.00 0.00 0.00 1.00 1.00 1.00   \n",
       "450    2.00 19.00         6.00 1.00 1.00 0.00 0.00 0.00 0.00 0.00 0.00 1.00   \n",
       "\n",
       "     Q17  Q18  Q19  Q20  Q21  Q22  Q23  Q24  Q25  Q26  Q27  Score  \\\n",
       "446 0.00 1.00 1.00 1.00 1.00 1.00 0.00 0.00 1.00 0.00 1.00     16   \n",
       "447 0.00 1.00 1.00 1.00 1.00 0.00 1.00 0.00 1.00 0.00 1.00     16   \n",
       "448 0.00 0.00 0.00 0.00 1.00 0.00 0.00 1.00 1.00 0.00 1.00     14   \n",
       "449 0.00 0.00 1.00 1.00 1.00 0.00 0.00 1.00 1.00 0.00 1.00     17   \n",
       "450 0.00 1.00 1.00 1.00 1.00 0.00 0.00 0.00 1.00 0.00 0.00     14   \n",
       "\n",
       "     Control Group  Doc AND Video Group  Video Group  Document Group  \n",
       "446            nan                  nan          nan            1.00  \n",
       "447            nan                  nan          nan            1.00  \n",
       "448            nan                  nan          nan            1.00  \n",
       "449            nan                  nan          nan            1.00  \n",
       "450            nan                  nan          nan            1.00  "
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>152.00</td>\n",
       "      <td>152.00</td>\n",
       "      <td>152.00</td>\n",
       "      <td>132.00</td>\n",
       "      <td>142.00</td>\n",
       "      <td>137.00</td>\n",
       "      <td>139.00</td>\n",
       "      <td>147.00</td>\n",
       "      <td>145.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>147.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>145.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>145.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>148.00</td>\n",
       "      <td>148.00</td>\n",
       "      <td>148.00</td>\n",
       "      <td>152.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>152.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>100.00</td>\n",
       "      <td>2078.55</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.61</td>\n",
       "      <td>1.66</td>\n",
       "      <td>20.23</td>\n",
       "      <td>5.78</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.84</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.85</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.77</td>\n",
       "      <td>0.90</td>\n",
       "      <td>0.68</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.93</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.64</td>\n",
       "      <td>14.12</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.00</td>\n",
       "      <td>11601.56</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.60</td>\n",
       "      <td>0.47</td>\n",
       "      <td>9.95</td>\n",
       "      <td>0.59</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.48</td>\n",
       "      <td>3.63</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>100.00</td>\n",
       "      <td>36.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>237.25</td>\n",
       "      <td>1.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>321.50</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>14.50</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>486.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>21.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>16.25</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>100.00</td>\n",
       "      <td>83514.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>72.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>19.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Progress  Duration  Finished  Estimation  Gender    Age  Related Job  \\\n",
       "count    152.00    152.00    152.00      132.00  142.00 137.00       139.00   \n",
       "mean     100.00   2078.55      1.00       12.61    1.66  20.23         5.78   \n",
       "std        0.00  11601.56      0.00        4.60    0.47   9.95         0.59   \n",
       "min      100.00     36.00      1.00        1.00    1.00  10.00         4.00   \n",
       "25%      100.00    237.25      1.00       10.00    1.00  16.00         6.00   \n",
       "50%      100.00    321.50      1.00       12.00    2.00  17.00         6.00   \n",
       "75%      100.00    486.00      1.00       15.00    2.00  21.00         6.00   \n",
       "max      100.00  83514.00      1.00       20.00    2.00  72.00         6.00   \n",
       "\n",
       "          Q6     Q7     Q8    Q11    Q12    Q13    Q14    Q15    Q16    Q17  \\\n",
       "count 147.00 145.00 146.00 146.00 147.00 146.00 146.00 145.00 146.00 146.00   \n",
       "mean    0.35   0.76   0.38   0.79   0.22   0.14   0.84   0.15   0.85   0.22   \n",
       "std     0.48   0.43   0.49   0.41   0.41   0.35   0.37   0.36   0.36   0.42   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   1.00   0.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "50%     0.00   1.00   0.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "75%     1.00   1.00   1.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "         Q18    Q19    Q20    Q21    Q22    Q23    Q24    Q25    Q26    Q27  \\\n",
       "count 146.00 146.00 145.00 146.00 146.00 146.00 146.00 148.00 148.00 148.00   \n",
       "mean    0.31   0.77   0.90   0.68   0.42   0.36   0.51   0.93   0.20   0.64   \n",
       "std     0.46   0.42   0.30   0.47   0.49   0.48   0.50   0.25   0.40   0.48   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   1.00   1.00   0.00   0.00   0.00   0.00   1.00   0.00   0.00   \n",
       "50%     0.00   1.00   1.00   1.00   0.00   0.00   1.00   1.00   0.00   1.00   \n",
       "75%     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   0.00   1.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "       Score  Control Group  Doc AND Video Group  Video Group  Document Group  \n",
       "count 152.00           0.00                 0.00         0.00          152.00  \n",
       "mean   14.12            nan                  nan          nan            1.00  \n",
       "std     3.63            nan                  nan          nan            0.00  \n",
       "min     0.00            nan                  nan          nan            1.00  \n",
       "25%    13.00            nan                  nan          nan            1.00  \n",
       "50%    14.50            nan                  nan          nan            1.00  \n",
       "75%    16.25            nan                  nan          nan            1.00  \n",
       "max    19.00            nan                  nan          nan            1.00  "
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Completed only\n",
    "dfDocument = dfComplete.loc[dfComplete['Document Group'] == 1]\n",
    "dfDocument.head()\n",
    "dfDocument.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EDA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Complete Scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "bingroup": "x",
         "hovertemplate": "Total Scores=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa"
         },
         "name": "",
         "offsetgroup": "",
         "orientation": "v",
         "showlegend": false,
         "type": "histogram",
         "x": [
          11,
          11,
          13,
          13,
          14,
          18,
          0,
          10,
          15,
          0,
          12,
          19,
          17,
          17,
          13,
          15,
          17,
          18,
          15,
          3,
          14,
          17,
          0,
          0,
          15,
          16,
          19,
          6,
          16,
          18,
          12,
          12,
          7,
          8,
          9,
          11,
          10,
          12,
          13,
          3,
          10,
          0,
          19,
          13,
          12,
          14,
          11,
          10,
          18,
          16,
          6,
          17,
          14,
          17,
          19,
          15,
          13,
          14,
          18,
          19,
          9,
          16,
          15,
          7,
          17,
          15,
          16,
          12,
          10,
          13,
          15,
          13,
          19,
          11,
          16,
          9,
          14,
          16,
          13,
          18,
          15,
          16,
          17,
          13,
          12,
          19,
          19,
          17,
          17,
          17,
          17,
          0,
          16,
          19,
          17,
          17,
          17,
          14,
          12,
          16,
          18,
          19,
          17,
          13,
          11,
          17,
          13,
          12,
          11,
          13,
          13,
          17,
          9,
          14,
          12,
          12,
          15,
          16,
          20,
          14,
          14,
          18,
          15,
          13,
          11,
          16,
          15,
          17,
          19,
          13,
          17,
          10,
          17,
          17,
          1,
          18,
          15,
          18,
          14,
          11,
          13,
          15,
          12,
          12,
          10,
          16,
          17,
          18,
          13,
          15,
          19,
          17,
          15,
          8,
          17,
          15,
          18,
          18,
          17,
          16,
          17,
          20,
          17,
          17,
          14,
          16,
          15,
          16,
          12,
          20,
          16,
          16,
          14,
          16,
          18,
          16,
          12,
          9,
          16,
          13,
          17,
          16,
          14,
          11,
          19,
          17,
          17,
          0,
          13,
          11,
          13,
          17,
          16,
          16,
          15,
          16,
          17,
          13,
          18,
          17,
          13,
          9,
          0,
          11,
          5,
          17,
          14,
          12,
          19,
          19,
          13,
          13,
          9,
          9,
          12,
          17,
          12,
          18,
          10,
          7,
          18,
          14,
          18,
          14,
          8,
          10,
          16,
          2,
          15,
          15,
          16,
          13,
          19,
          15,
          17,
          18,
          15,
          0,
          10,
          17,
          16,
          13,
          13,
          13,
          11,
          0,
          15,
          15,
          16,
          13,
          15,
          8,
          13,
          16,
          11,
          17,
          11,
          5,
          17,
          17,
          13,
          12,
          16,
          17,
          20,
          13,
          17,
          1,
          10,
          11,
          0,
          13,
          13,
          0,
          12,
          13,
          12,
          14,
          15,
          16,
          13,
          10,
          17,
          16,
          13,
          10,
          13,
          14,
          17,
          11,
          20,
          15,
          14,
          17,
          14,
          16,
          18,
          19,
          10,
          0,
          17,
          13,
          16,
          15,
          15,
          16,
          13,
          11,
          15,
          17,
          17,
          9,
          15,
          15,
          16,
          16,
          19,
          19,
          14,
          0,
          14,
          16,
          16,
          19,
          13,
          13,
          16,
          16,
          14,
          19,
          0,
          13,
          0,
          18,
          0,
          11,
          19,
          11,
          19,
          11,
          19,
          17,
          19,
          8,
          19,
          14,
          1,
          17,
          18,
          19,
          16,
          16,
          17,
          1,
          13,
          12,
          0,
          15,
          16,
          11,
          17,
          16,
          14,
          19,
          16,
          10,
          12,
          13,
          19,
          15,
          0,
          17,
          19,
          20,
          7,
          0,
          18,
          19,
          16,
          13,
          10,
          20,
          18,
          9,
          14,
          17,
          18,
          15,
          15,
          1,
          19,
          12,
          19,
          15,
          16,
          18,
          16,
          19,
          18,
          6,
          17,
          17,
          18,
          14,
          9,
          16,
          13,
          0,
          10,
          16,
          16,
          0,
          16,
          14,
          17,
          15,
          18,
          16,
          17,
          14,
          17,
          18,
          11,
          16,
          13,
          11,
          17,
          17,
          13,
          14,
          17,
          11,
          5,
          17,
          19,
          14,
          7,
          17,
          11,
          17,
          17,
          0,
          16,
          17,
          16,
          9,
          16,
          16,
          14,
          17,
          14,
          15,
          18,
          12,
          17,
          19,
          14,
          16,
          11,
          14,
          12,
          15,
          13,
          17,
          14,
          17,
          18,
          13,
          16,
          16,
          18,
          7,
          15,
          13,
          13,
          18,
          15,
          17,
          17,
          12,
          16,
          10,
          12,
          18,
          16,
          17,
          14,
          16,
          11,
          13,
          16,
          10,
          13,
          16,
          16,
          16,
          10,
          19,
          15,
          14,
          10,
          14,
          17,
          17,
          13,
          10,
          14,
          10,
          18,
          12,
          14,
          18,
          16,
          18,
          15,
          13,
          17,
          13,
          19,
          15,
          15,
          13,
          18,
          18,
          16,
          14,
          12,
          14,
          0,
          14,
          12,
          13,
          17,
          14,
          12,
          14,
          18,
          19,
          11,
          14,
          18,
          18,
          14,
          14,
          18,
          16,
          10,
          16,
          15,
          9,
          14,
          12,
          11,
          16,
          10,
          18,
          0,
          10,
          16,
          7,
          16,
          15,
          13,
          16,
          14,
          14,
          10,
          12,
          18,
          14,
          13,
          16,
          17,
          0,
          14,
          16,
          13,
          15,
          17,
          19,
          15,
          18,
          10,
          18,
          15,
          0,
          12,
          16,
          2,
          14,
          17,
          12,
          12,
          13,
          18,
          15,
          13,
          15
         ],
         "xaxis": "x",
         "yaxis": "y"
        }
       ],
       "layout": {
        "barmode": "relative",
        "legend": {
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Histogram of Total Scores for All Groups"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Total Scores"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "count"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"da121168-85e6-4789-baa4-3549ef6dc8a0\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"da121168-85e6-4789-baa4-3549ef6dc8a0\")) {                    Plotly.newPlot(                        \"da121168-85e6-4789-baa4-3549ef6dc8a0\",                        [{\"alignmentgroup\": \"True\", \"bingroup\": \"x\", \"hovertemplate\": \"Total Scores=%{x}<br>count=%{y}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": \"#636efa\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"v\", \"showlegend\": false, \"type\": \"histogram\", \"x\": [11, 11, 13, 13, 14, 18, 0, 10, 15, 0, 12, 19, 17, 17, 13, 15, 17, 18, 15, 3, 14, 17, 0, 0, 15, 16, 19, 6, 16, 18, 12, 12, 7, 8, 9, 11, 10, 12, 13, 3, 10, 0, 19, 13, 12, 14, 11, 10, 18, 16, 6, 17, 14, 17, 19, 15, 13, 14, 18, 19, 9, 16, 15, 7, 17, 15, 16, 12, 10, 13, 15, 13, 19, 11, 16, 9, 14, 16, 13, 18, 15, 16, 17, 13, 12, 19, 19, 17, 17, 17, 17, 0, 16, 19, 17, 17, 17, 14, 12, 16, 18, 19, 17, 13, 11, 17, 13, 12, 11, 13, 13, 17, 9, 14, 12, 12, 15, 16, 20, 14, 14, 18, 15, 13, 11, 16, 15, 17, 19, 13, 17, 10, 17, 17, 1, 18, 15, 18, 14, 11, 13, 15, 12, 12, 10, 16, 17, 18, 13, 15, 19, 17, 15, 8, 17, 15, 18, 18, 17, 16, 17, 20, 17, 17, 14, 16, 15, 16, 12, 20, 16, 16, 14, 16, 18, 16, 12, 9, 16, 13, 17, 16, 14, 11, 19, 17, 17, 0, 13, 11, 13, 17, 16, 16, 15, 16, 17, 13, 18, 17, 13, 9, 0, 11, 5, 17, 14, 12, 19, 19, 13, 13, 9, 9, 12, 17, 12, 18, 10, 7, 18, 14, 18, 14, 8, 10, 16, 2, 15, 15, 16, 13, 19, 15, 17, 18, 15, 0, 10, 17, 16, 13, 13, 13, 11, 0, 15, 15, 16, 13, 15, 8, 13, 16, 11, 17, 11, 5, 17, 17, 13, 12, 16, 17, 20, 13, 17, 1, 10, 11, 0, 13, 13, 0, 12, 13, 12, 14, 15, 16, 13, 10, 17, 16, 13, 10, 13, 14, 17, 11, 20, 15, 14, 17, 14, 16, 18, 19, 10, 0, 17, 13, 16, 15, 15, 16, 13, 11, 15, 17, 17, 9, 15, 15, 16, 16, 19, 19, 14, 0, 14, 16, 16, 19, 13, 13, 16, 16, 14, 19, 0, 13, 0, 18, 0, 11, 19, 11, 19, 11, 19, 17, 19, 8, 19, 14, 1, 17, 18, 19, 16, 16, 17, 1, 13, 12, 0, 15, 16, 11, 17, 16, 14, 19, 16, 10, 12, 13, 19, 15, 0, 17, 19, 20, 7, 0, 18, 19, 16, 13, 10, 20, 18, 9, 14, 17, 18, 15, 15, 1, 19, 12, 19, 15, 16, 18, 16, 19, 18, 6, 17, 17, 18, 14, 9, 16, 13, 0, 10, 16, 16, 0, 16, 14, 17, 15, 18, 16, 17, 14, 17, 18, 11, 16, 13, 11, 17, 17, 13, 14, 17, 11, 5, 17, 19, 14, 7, 17, 11, 17, 17, 0, 16, 17, 16, 9, 16, 16, 14, 17, 14, 15, 18, 12, 17, 19, 14, 16, 11, 14, 12, 15, 13, 17, 14, 17, 18, 13, 16, 16, 18, 7, 15, 13, 13, 18, 15, 17, 17, 12, 16, 10, 12, 18, 16, 17, 14, 16, 11, 13, 16, 10, 13, 16, 16, 16, 10, 19, 15, 14, 10, 14, 17, 17, 13, 10, 14, 10, 18, 12, 14, 18, 16, 18, 15, 13, 17, 13, 19, 15, 15, 13, 18, 18, 16, 14, 12, 14, 0, 14, 12, 13, 17, 14, 12, 14, 18, 19, 11, 14, 18, 18, 14, 14, 18, 16, 10, 16, 15, 9, 14, 12, 11, 16, 10, 18, 0, 10, 16, 7, 16, 15, 13, 16, 14, 14, 10, 12, 18, 14, 13, 16, 17, 0, 14, 16, 13, 15, 17, 19, 15, 18, 10, 18, 15, 0, 12, 16, 2, 14, 17, 12, 12, 13, 18, 15, 13, 15], \"xaxis\": \"x\", \"yaxis\": \"y\"}],                        {\"barmode\": \"relative\", \"legend\": {\"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"autotypenumbers\": \"strict\", \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Histogram of Total Scores for All Groups\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Total Scores\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"count\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('da121168-85e6-4789-baa4-3549ef6dc8a0');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "completeScoreHist = px.histogram(dfComplete, x='Score',\n",
    "                  title='Histogram of Total Scores for All Groups', \n",
    "                  labels={'Score':'Total Scores'})\n",
    "completeScoreHist.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Control Group "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "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>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>154.00</td>\n",
       "      <td>154.00</td>\n",
       "      <td>154.00</td>\n",
       "      <td>124.00</td>\n",
       "      <td>131.00</td>\n",
       "      <td>126.00</td>\n",
       "      <td>129.00</td>\n",
       "      <td>148.00</td>\n",
       "      <td>148.00</td>\n",
       "      <td>148.00</td>\n",
       "      <td>148.00</td>\n",
       "      <td>147.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>145.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>145.00</td>\n",
       "      <td>143.00</td>\n",
       "      <td>145.00</td>\n",
       "      <td>145.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>154.00</td>\n",
       "      <td>154.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>100.00</td>\n",
       "      <td>2685.62</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.50</td>\n",
       "      <td>1.61</td>\n",
       "      <td>20.56</td>\n",
       "      <td>5.74</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.86</td>\n",
       "      <td>0.61</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.23</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.34</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.71</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.56</td>\n",
       "      <td>13.64</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.00</td>\n",
       "      <td>14122.34</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.59</td>\n",
       "      <td>0.49</td>\n",
       "      <td>12.92</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.45</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>100.00</td>\n",
       "      <td>28.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>7.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>203.50</td>\n",
       "      <td>1.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>13.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>283.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>14.50</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>415.50</td>\n",
       "      <td>1.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>21.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>100.00</td>\n",
       "      <td>99299.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>29.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>83.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Progress  Duration  Finished  Estimation  Gender    Age  Related Job  \\\n",
       "count    154.00    154.00    154.00      124.00  131.00 126.00       129.00   \n",
       "mean     100.00   2685.62      1.00       12.50    1.61  20.56         5.74   \n",
       "std        0.00  14122.34      0.00        4.59    0.49  12.92         0.60   \n",
       "min      100.00     28.00      1.00        1.00    1.00   7.00         4.00   \n",
       "25%      100.00    203.50      1.00       10.00    1.00  13.00         6.00   \n",
       "50%      100.00    283.00      1.00       12.00    2.00  17.00         6.00   \n",
       "75%      100.00    415.50      1.00       15.00    2.00  21.00         6.00   \n",
       "max      100.00  99299.00      1.00       29.00    2.00  83.00         6.00   \n",
       "\n",
       "          Q6     Q7     Q8    Q11    Q12    Q13    Q14    Q15    Q16    Q17  \\\n",
       "count 148.00 148.00 148.00 148.00 147.00 146.00 146.00 146.00 145.00 146.00   \n",
       "mean    0.33   0.86   0.61   0.72   0.29   0.23   0.76   0.29   0.67   0.27   \n",
       "std     0.47   0.35   0.49   0.45   0.45   0.42   0.43   0.45   0.47   0.45   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   1.00   0.00   0.00   0.00   0.00   1.00   0.00   0.00   0.00   \n",
       "50%     0.00   1.00   1.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "75%     1.00   1.00   1.00   1.00   1.00   0.00   1.00   1.00   1.00   1.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "         Q18    Q19    Q20    Q21    Q22    Q23    Q24    Q25    Q26    Q27  \\\n",
       "count 146.00 146.00 146.00 146.00 146.00 145.00 143.00 145.00 145.00 146.00   \n",
       "mean    0.34   0.67   0.88   0.71   0.31   0.28   0.39   0.91   0.26   0.56   \n",
       "std     0.47   0.47   0.33   0.45   0.46   0.45   0.49   0.29   0.44   0.50   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   0.00   1.00   0.00   0.00   0.00   0.00   1.00   0.00   0.00   \n",
       "50%     0.00   1.00   1.00   1.00   0.00   0.00   0.00   1.00   0.00   1.00   \n",
       "75%     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "       Score  Control Group  Doc AND Video Group  Video Group  Document Group  \n",
       "count 154.00         154.00                 0.00         0.00            0.00  \n",
       "mean   13.64           1.00                  nan          nan             nan  \n",
       "std     4.45           0.00                  nan          nan             nan  \n",
       "min     0.00           1.00                  nan          nan             nan  \n",
       "25%    12.00           1.00                  nan          nan             nan  \n",
       "50%    14.50           1.00                  nan          nan             nan  \n",
       "75%    17.00           1.00                  nan          nan             nan  \n",
       "max    20.00           1.00                  nan          nan             nan  "
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfControl.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "bingroup": "x",
         "hovertemplate": "Total Scores=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa"
         },
         "name": "",
         "offsetgroup": "",
         "orientation": "v",
         "showlegend": false,
         "type": "histogram",
         "x": [
          11,
          11,
          13,
          13,
          14,
          18,
          0,
          10,
          15,
          0,
          12,
          19,
          17,
          17,
          13,
          15,
          17,
          18,
          15,
          3,
          14,
          17,
          0,
          0,
          15,
          16,
          19,
          6,
          16,
          18,
          12,
          12,
          7,
          8,
          9,
          11,
          10,
          12,
          13,
          3,
          10,
          0,
          19,
          13,
          12,
          14,
          11,
          10,
          18,
          16,
          6,
          17,
          14,
          17,
          19,
          15,
          13,
          14,
          18,
          19,
          9,
          16,
          15,
          7,
          17,
          15,
          16,
          12,
          10,
          13,
          15,
          13,
          19,
          11,
          16,
          9,
          14,
          16,
          13,
          18,
          15,
          16,
          17,
          13,
          12,
          19,
          19,
          17,
          17,
          17,
          17,
          0,
          16,
          19,
          17,
          17,
          17,
          14,
          12,
          16,
          18,
          19,
          17,
          13,
          11,
          17,
          13,
          12,
          11,
          13,
          13,
          17,
          9,
          14,
          12,
          12,
          15,
          16,
          20,
          14,
          14,
          18,
          15,
          13,
          11,
          16,
          15,
          17,
          19,
          13,
          17,
          10,
          17,
          17,
          1,
          18,
          15,
          18,
          14,
          11,
          13,
          15,
          12,
          12,
          10,
          16,
          17,
          18,
          13,
          15,
          19,
          17,
          15,
          8
         ],
         "xaxis": "x",
         "yaxis": "y"
        }
       ],
       "layout": {
        "barmode": "relative",
        "legend": {
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Histogram of Total Scores for the Control Group"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Total Scores"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "count"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"1ae0cf0a-8c54-4738-9f24-da47ceb14719\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"1ae0cf0a-8c54-4738-9f24-da47ceb14719\")) {                    Plotly.newPlot(                        \"1ae0cf0a-8c54-4738-9f24-da47ceb14719\",                        [{\"alignmentgroup\": \"True\", \"bingroup\": \"x\", \"hovertemplate\": \"Total Scores=%{x}<br>count=%{y}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": \"#636efa\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"v\", \"showlegend\": false, \"type\": \"histogram\", \"x\": [11, 11, 13, 13, 14, 18, 0, 10, 15, 0, 12, 19, 17, 17, 13, 15, 17, 18, 15, 3, 14, 17, 0, 0, 15, 16, 19, 6, 16, 18, 12, 12, 7, 8, 9, 11, 10, 12, 13, 3, 10, 0, 19, 13, 12, 14, 11, 10, 18, 16, 6, 17, 14, 17, 19, 15, 13, 14, 18, 19, 9, 16, 15, 7, 17, 15, 16, 12, 10, 13, 15, 13, 19, 11, 16, 9, 14, 16, 13, 18, 15, 16, 17, 13, 12, 19, 19, 17, 17, 17, 17, 0, 16, 19, 17, 17, 17, 14, 12, 16, 18, 19, 17, 13, 11, 17, 13, 12, 11, 13, 13, 17, 9, 14, 12, 12, 15, 16, 20, 14, 14, 18, 15, 13, 11, 16, 15, 17, 19, 13, 17, 10, 17, 17, 1, 18, 15, 18, 14, 11, 13, 15, 12, 12, 10, 16, 17, 18, 13, 15, 19, 17, 15, 8], \"xaxis\": \"x\", \"yaxis\": \"y\"}],                        {\"barmode\": \"relative\", \"legend\": {\"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"autotypenumbers\": \"strict\", \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Histogram of Total Scores for the Control Group\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Total Scores\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"count\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('1ae0cf0a-8c54-4738-9f24-da47ceb14719');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "controlScoreHist = px.histogram(dfControl, x='Score',\n",
    "                  title='Histogram of Total Scores for the Control Group', \n",
    "                  labels={'Score':'Total Scores'})\n",
    "controlScoreHist.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "dimensions": [
          {
           "axis": {
            "matches": true
           },
           "label": "Duration",
           "values": [
            205,
            267,
            441,
            347,
            378,
            483,
            28,
            309,
            225,
            68,
            629,
            392,
            165,
            256,
            297,
            578,
            256,
            141,
            161,
            408,
            509,
            157,
            86,
            1146,
            111,
            299,
            148,
            212,
            317,
            364,
            157,
            138,
            137,
            359,
            278,
            478,
            69101,
            2970,
            258,
            207,
            84384,
            122,
            355,
            212,
            4851,
            279,
            288,
            294,
            263,
            969,
            237,
            69,
            235,
            244,
            344,
            247,
            197,
            124,
            333,
            866,
            780,
            962,
            999,
            1108,
            78,
            558,
            903,
            220,
            261,
            217,
            712,
            315,
            380,
            574,
            396,
            272,
            307,
            343,
            1816,
            275,
            199,
            254,
            296,
            300,
            273,
            340,
            198,
            201,
            248,
            275,
            203,
            285,
            168,
            224,
            246,
            243,
            264,
            291,
            418,
            358,
            61,
            237,
            1371,
            335,
            294,
            165,
            449,
            167,
            297,
            140,
            144,
            232,
            253,
            345,
            385,
            347,
            533,
            384,
            138,
            822,
            114,
            355,
            381,
            281,
            931,
            200,
            1151,
            510,
            274,
            573,
            99299,
            275,
            121,
            194,
            99012,
            98,
            434,
            356,
            178,
            602,
            446,
            214,
            280,
            386,
            2004,
            317,
            217,
            1097,
            86,
            139,
            548,
            52,
            121,
            101
           ]
          },
          {
           "axis": {
            "matches": true
           },
           "label": "Estimation",
           "values": [
            12,
            15,
            10,
            10,
            10,
            8,
            null,
            10,
            10,
            20,
            10,
            15,
            20,
            14,
            15,
            8,
            10,
            16,
            10,
            13,
            15,
            10,
            null,
            null,
            null,
            null,
            null,
            6,
            10,
            15,
            10,
            20,
            15,
            10,
            5,
            11,
            null,
            3,
            5,
            5,
            null,
            10,
            15,
            null,
            null,
            null,
            null,
            null,
            15,
            10,
            11,
            12,
            10,
            15,
            18,
            10,
            15,
            10,
            12,
            15,
            7,
            8,
            4,
            12,
            null,
            5,
            15,
            12,
            13,
            4,
            20,
            null,
            8,
            11,
            10,
            10,
            null,
            10,
            15,
            16,
            5,
            null,
            15,
            18,
            10,
            10,
            10,
            null,
            null,
            10,
            15,
            null,
            6,
            18,
            15,
            15,
            18,
            15,
            10,
            20,
            null,
            20,
            15,
            10,
            20,
            10,
            29,
            10,
            18,
            10,
            20,
            10,
            17,
            10,
            2,
            14,
            15,
            null,
            1,
            null,
            null,
            20,
            10,
            15,
            4,
            15,
            null,
            10,
            12,
            14,
            null,
            15,
            10,
            14,
            null,
            null,
            10,
            15,
            12,
            null,
            null,
            11,
            18,
            11,
            15,
            15,
            15,
            17,
            16,
            20,
            13,
            20,
            14,
            14
           ]
          },
          {
           "axis": {
            "matches": true
           },
           "label": "Age",
           "values": [
            17,
            17,
            18,
            18,
            17,
            17,
            null,
            19,
            16,
            21,
            14,
            20,
            44,
            13,
            22,
            42,
            12,
            null,
            13,
            13,
            12,
            17,
            null,
            null,
            null,
            null,
            null,
            20,
            20,
            20,
            40,
            19,
            21,
            23,
            24,
            20,
            null,
            14,
            14,
            15,
            null,
            20,
            18,
            60,
            null,
            21,
            21,
            22,
            22,
            22,
            10,
            18,
            17,
            21,
            27,
            11,
            79,
            16,
            20,
            13,
            13,
            14,
            14,
            14,
            null,
            18,
            16,
            18,
            14,
            14,
            14,
            12,
            13,
            12,
            13,
            13,
            null,
            18,
            18,
            16,
            17,
            17,
            17,
            17,
            18,
            13,
            17,
            null,
            null,
            16,
            17,
            null,
            17,
            18,
            17,
            17,
            18,
            16,
            9,
            21,
            null,
            13,
            16,
            16,
            18,
            40,
            83,
            50,
            51,
            54,
            24,
            10,
            null,
            null,
            null,
            11,
            12,
            null,
            12,
            null,
            19,
            13,
            12,
            13,
            12,
            22,
            null,
            16,
            16,
            16,
            null,
            26,
            12,
            34,
            null,
            null,
            21,
            16,
            12,
            null,
            null,
            23,
            null,
            12,
            12,
            12,
            13,
            43,
            36,
            63,
            53,
            7,
            19,
            12
           ]
          },
          {
           "axis": {
            "matches": true
           },
           "label": "Score",
           "values": [
            11,
            11,
            13,
            13,
            14,
            18,
            0,
            10,
            15,
            0,
            12,
            19,
            17,
            17,
            13,
            15,
            17,
            18,
            15,
            3,
            14,
            17,
            0,
            0,
            15,
            16,
            19,
            6,
            16,
            18,
            12,
            12,
            7,
            8,
            9,
            11,
            10,
            12,
            13,
            3,
            10,
            0,
            19,
            13,
            12,
            14,
            11,
            10,
            18,
            16,
            6,
            17,
            14,
            17,
            19,
            15,
            13,
            14,
            18,
            19,
            9,
            16,
            15,
            7,
            17,
            15,
            16,
            12,
            10,
            13,
            15,
            13,
            19,
            11,
            16,
            9,
            14,
            16,
            13,
            18,
            15,
            16,
            17,
            13,
            12,
            19,
            19,
            17,
            17,
            17,
            17,
            0,
            16,
            19,
            17,
            17,
            17,
            14,
            12,
            16,
            18,
            19,
            17,
            13,
            11,
            17,
            13,
            12,
            11,
            13,
            13,
            17,
            9,
            14,
            12,
            12,
            15,
            16,
            20,
            14,
            14,
            18,
            15,
            13,
            11,
            16,
            15,
            17,
            19,
            13,
            17,
            10,
            17,
            17,
            1,
            18,
            15,
            18,
            14,
            11,
            13,
            15,
            12,
            12,
            10,
            16,
            17,
            18,
            13,
            15,
            19,
            17,
            15,
            8
           ]
          }
         ],
         "hovertemplate": "%{xaxis.title.text}=%{x}<br>%{yaxis.title.text}=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa",
          "symbol": "circle"
         },
         "name": "",
         "showlegend": false,
         "type": "splom"
        }
       ],
       "layout": {
        "dragmode": "select",
        "legend": {
         "tracegroupgap": 0
        },
        "margin": {
         "t": 60
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"c7684bbe-9122-473f-9a54-7ead7341754e\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"c7684bbe-9122-473f-9a54-7ead7341754e\")) {                    Plotly.newPlot(                        \"c7684bbe-9122-473f-9a54-7ead7341754e\",                        [{\"dimensions\": [{\"axis\": {\"matches\": true}, \"label\": \"Duration\", \"values\": [205, 267, 441, 347, 378, 483, 28, 309, 225, 68, 629, 392, 165, 256, 297, 578, 256, 141, 161, 408, 509, 157, 86, 1146, 111, 299, 148, 212, 317, 364, 157, 138, 137, 359, 278, 478, 69101, 2970, 258, 207, 84384, 122, 355, 212, 4851, 279, 288, 294, 263, 969, 237, 69, 235, 244, 344, 247, 197, 124, 333, 866, 780, 962, 999, 1108, 78, 558, 903, 220, 261, 217, 712, 315, 380, 574, 396, 272, 307, 343, 1816, 275, 199, 254, 296, 300, 273, 340, 198, 201, 248, 275, 203, 285, 168, 224, 246, 243, 264, 291, 418, 358, 61, 237, 1371, 335, 294, 165, 449, 167, 297, 140, 144, 232, 253, 345, 385, 347, 533, 384, 138, 822, 114, 355, 381, 281, 931, 200, 1151, 510, 274, 573, 99299, 275, 121, 194, 99012, 98, 434, 356, 178, 602, 446, 214, 280, 386, 2004, 317, 217, 1097, 86, 139, 548, 52, 121, 101]}, {\"axis\": {\"matches\": true}, \"label\": \"Estimation\", \"values\": [12.0, 15.0, 10.0, 10.0, 10.0, 8.0, null, 10.0, 10.0, 20.0, 10.0, 15.0, 20.0, 14.0, 15.0, 8.0, 10.0, 16.0, 10.0, 13.0, 15.0, 10.0, null, null, null, null, null, 6.0, 10.0, 15.0, 10.0, 20.0, 15.0, 10.0, 5.0, 11.0, null, 3.0, 5.0, 5.0, null, 10.0, 15.0, null, null, null, null, null, 15.0, 10.0, 11.0, 12.0, 10.0, 15.0, 18.0, 10.0, 15.0, 10.0, 12.0, 15.0, 7.0, 8.0, 4.0, 12.0, null, 5.0, 15.0, 12.0, 13.0, 4.0, 20.0, null, 8.0, 11.0, 10.0, 10.0, null, 10.0, 15.0, 16.0, 5.0, null, 15.0, 18.0, 10.0, 10.0, 10.0, null, null, 10.0, 15.0, null, 6.0, 18.0, 15.0, 15.0, 18.0, 15.0, 10.0, 20.0, null, 20.0, 15.0, 10.0, 20.0, 10.0, 29.0, 10.0, 18.0, 10.0, 20.0, 10.0, 17.0, 10.0, 2.0, 14.0, 15.0, null, 1.0, null, null, 20.0, 10.0, 15.0, 4.0, 15.0, null, 10.0, 12.0, 14.0, null, 15.0, 10.0, 14.0, null, null, 10.0, 15.0, 12.0, null, null, 11.0, 18.0, 11.0, 15.0, 15.0, 15.0, 17.0, 16.0, 20.0, 13.0, 20.0, 14.0, 14.0]}, {\"axis\": {\"matches\": true}, \"label\": \"Age\", \"values\": [17.0, 17.0, 18.0, 18.0, 17.0, 17.0, null, 19.0, 16.0, 21.0, 14.0, 20.0, 44.0, 13.0, 22.0, 42.0, 12.0, null, 13.0, 13.0, 12.0, 17.0, null, null, null, null, null, 20.0, 20.0, 20.0, 40.0, 19.0, 21.0, 23.0, 24.0, 20.0, null, 14.0, 14.0, 15.0, null, 20.0, 18.0, 60.0, null, 21.0, 21.0, 22.0, 22.0, 22.0, 10.0, 18.0, 17.0, 21.0, 27.0, 11.0, 79.0, 16.0, 20.0, 13.0, 13.0, 14.0, 14.0, 14.0, null, 18.0, 16.0, 18.0, 14.0, 14.0, 14.0, 12.0, 13.0, 12.0, 13.0, 13.0, null, 18.0, 18.0, 16.0, 17.0, 17.0, 17.0, 17.0, 18.0, 13.0, 17.0, null, null, 16.0, 17.0, null, 17.0, 18.0, 17.0, 17.0, 18.0, 16.0, 9.0, 21.0, null, 13.0, 16.0, 16.0, 18.0, 40.0, 83.0, 50.0, 51.0, 54.0, 24.0, 10.0, null, null, null, 11.0, 12.0, null, 12.0, null, 19.0, 13.0, 12.0, 13.0, 12.0, 22.0, null, 16.0, 16.0, 16.0, null, 26.0, 12.0, 34.0, null, null, 21.0, 16.0, 12.0, null, null, 23.0, null, 12.0, 12.0, 12.0, 13.0, 43.0, 36.0, 63.0, 53.0, 7.0, 19.0, 12.0]}, {\"axis\": {\"matches\": true}, \"label\": \"Score\", \"values\": [11, 11, 13, 13, 14, 18, 0, 10, 15, 0, 12, 19, 17, 17, 13, 15, 17, 18, 15, 3, 14, 17, 0, 0, 15, 16, 19, 6, 16, 18, 12, 12, 7, 8, 9, 11, 10, 12, 13, 3, 10, 0, 19, 13, 12, 14, 11, 10, 18, 16, 6, 17, 14, 17, 19, 15, 13, 14, 18, 19, 9, 16, 15, 7, 17, 15, 16, 12, 10, 13, 15, 13, 19, 11, 16, 9, 14, 16, 13, 18, 15, 16, 17, 13, 12, 19, 19, 17, 17, 17, 17, 0, 16, 19, 17, 17, 17, 14, 12, 16, 18, 19, 17, 13, 11, 17, 13, 12, 11, 13, 13, 17, 9, 14, 12, 12, 15, 16, 20, 14, 14, 18, 15, 13, 11, 16, 15, 17, 19, 13, 17, 10, 17, 17, 1, 18, 15, 18, 14, 11, 13, 15, 12, 12, 10, 16, 17, 18, 13, 15, 19, 17, 15, 8]}], \"hovertemplate\": \"%{xaxis.title.text}=%{x}<br>%{yaxis.title.text}=%{y}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": \"#636efa\", \"symbol\": \"circle\"}, \"name\": \"\", \"showlegend\": false, \"type\": \"splom\"}],                        {\"dragmode\": \"select\", \"legend\": {\"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"autotypenumbers\": \"strict\", \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('c7684bbe-9122-473f-9a54-7ead7341754e');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "controlScatter = px.scatter_matrix(dfControl, dimensions=[\"Duration\", \"Estimation\", \"Age\", \"Score\"])\n",
    "controlScatter.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Document Only Test Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "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>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>152.00</td>\n",
       "      <td>152.00</td>\n",
       "      <td>152.00</td>\n",
       "      <td>132.00</td>\n",
       "      <td>142.00</td>\n",
       "      <td>137.00</td>\n",
       "      <td>139.00</td>\n",
       "      <td>147.00</td>\n",
       "      <td>145.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>147.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>145.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>145.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>146.00</td>\n",
       "      <td>148.00</td>\n",
       "      <td>148.00</td>\n",
       "      <td>148.00</td>\n",
       "      <td>152.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>152.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>100.00</td>\n",
       "      <td>2078.55</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.61</td>\n",
       "      <td>1.66</td>\n",
       "      <td>20.23</td>\n",
       "      <td>5.78</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.84</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.85</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.77</td>\n",
       "      <td>0.90</td>\n",
       "      <td>0.68</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.93</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.64</td>\n",
       "      <td>14.12</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.00</td>\n",
       "      <td>11601.56</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.60</td>\n",
       "      <td>0.47</td>\n",
       "      <td>9.95</td>\n",
       "      <td>0.59</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.48</td>\n",
       "      <td>3.63</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>100.00</td>\n",
       "      <td>36.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>237.25</td>\n",
       "      <td>1.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>321.50</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>14.50</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>486.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>21.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>16.25</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>100.00</td>\n",
       "      <td>83514.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>72.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>19.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Progress  Duration  Finished  Estimation  Gender    Age  Related Job  \\\n",
       "count    152.00    152.00    152.00      132.00  142.00 137.00       139.00   \n",
       "mean     100.00   2078.55      1.00       12.61    1.66  20.23         5.78   \n",
       "std        0.00  11601.56      0.00        4.60    0.47   9.95         0.59   \n",
       "min      100.00     36.00      1.00        1.00    1.00  10.00         4.00   \n",
       "25%      100.00    237.25      1.00       10.00    1.00  16.00         6.00   \n",
       "50%      100.00    321.50      1.00       12.00    2.00  17.00         6.00   \n",
       "75%      100.00    486.00      1.00       15.00    2.00  21.00         6.00   \n",
       "max      100.00  83514.00      1.00       20.00    2.00  72.00         6.00   \n",
       "\n",
       "          Q6     Q7     Q8    Q11    Q12    Q13    Q14    Q15    Q16    Q17  \\\n",
       "count 147.00 145.00 146.00 146.00 147.00 146.00 146.00 145.00 146.00 146.00   \n",
       "mean    0.35   0.76   0.38   0.79   0.22   0.14   0.84   0.15   0.85   0.22   \n",
       "std     0.48   0.43   0.49   0.41   0.41   0.35   0.37   0.36   0.36   0.42   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   1.00   0.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "50%     0.00   1.00   0.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "75%     1.00   1.00   1.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "         Q18    Q19    Q20    Q21    Q22    Q23    Q24    Q25    Q26    Q27  \\\n",
       "count 146.00 146.00 145.00 146.00 146.00 146.00 146.00 148.00 148.00 148.00   \n",
       "mean    0.31   0.77   0.90   0.68   0.42   0.36   0.51   0.93   0.20   0.64   \n",
       "std     0.46   0.42   0.30   0.47   0.49   0.48   0.50   0.25   0.40   0.48   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   1.00   1.00   0.00   0.00   0.00   0.00   1.00   0.00   0.00   \n",
       "50%     0.00   1.00   1.00   1.00   0.00   0.00   1.00   1.00   0.00   1.00   \n",
       "75%     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   0.00   1.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "       Score  Control Group  Doc AND Video Group  Video Group  Document Group  \n",
       "count 152.00           0.00                 0.00         0.00          152.00  \n",
       "mean   14.12            nan                  nan          nan            1.00  \n",
       "std     3.63            nan                  nan          nan            0.00  \n",
       "min     0.00            nan                  nan          nan            1.00  \n",
       "25%    13.00            nan                  nan          nan            1.00  \n",
       "50%    14.50            nan                  nan          nan            1.00  \n",
       "75%    16.25            nan                  nan          nan            1.00  \n",
       "max    19.00            nan                  nan          nan            1.00  "
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfDocument.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "bingroup": "x",
         "hovertemplate": "Total Scores=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa"
         },
         "name": "",
         "offsetgroup": "",
         "orientation": "v",
         "showlegend": false,
         "type": "histogram",
         "x": [
          16,
          16,
          14,
          17,
          14,
          15,
          18,
          12,
          17,
          19,
          14,
          16,
          11,
          14,
          12,
          15,
          13,
          17,
          14,
          17,
          18,
          13,
          16,
          16,
          18,
          7,
          15,
          13,
          13,
          18,
          15,
          17,
          17,
          12,
          16,
          10,
          12,
          18,
          16,
          17,
          14,
          16,
          11,
          13,
          16,
          10,
          13,
          16,
          16,
          16,
          10,
          19,
          15,
          14,
          10,
          14,
          17,
          17,
          13,
          10,
          14,
          10,
          18,
          12,
          14,
          18,
          16,
          18,
          15,
          13,
          17,
          13,
          19,
          15,
          15,
          13,
          18,
          18,
          16,
          14,
          12,
          14,
          0,
          14,
          12,
          13,
          17,
          14,
          12,
          14,
          18,
          19,
          11,
          14,
          18,
          18,
          14,
          14,
          18,
          16,
          10,
          16,
          15,
          9,
          14,
          12,
          11,
          16,
          10,
          18,
          0,
          10,
          16,
          7,
          16,
          15,
          13,
          16,
          14,
          14,
          10,
          12,
          18,
          14,
          13,
          16,
          17,
          0,
          14,
          16,
          13,
          15,
          17,
          19,
          15,
          18,
          10,
          18,
          15,
          0,
          12,
          16,
          2,
          14,
          17,
          12,
          12,
          13,
          18,
          15,
          13,
          15
         ],
         "xaxis": "x",
         "yaxis": "y"
        }
       ],
       "layout": {
        "barmode": "relative",
        "legend": {
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Histogram of Total Scores for the Document Only Test Group"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Total Scores"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "count"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"abe12f68-4fc2-4549-bb23-0f90640b5535\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"abe12f68-4fc2-4549-bb23-0f90640b5535\")) {                    Plotly.newPlot(                        \"abe12f68-4fc2-4549-bb23-0f90640b5535\",                        [{\"alignmentgroup\": \"True\", \"bingroup\": \"x\", \"hovertemplate\": \"Total Scores=%{x}<br>count=%{y}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": \"#636efa\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"v\", \"showlegend\": false, \"type\": \"histogram\", \"x\": [16, 16, 14, 17, 14, 15, 18, 12, 17, 19, 14, 16, 11, 14, 12, 15, 13, 17, 14, 17, 18, 13, 16, 16, 18, 7, 15, 13, 13, 18, 15, 17, 17, 12, 16, 10, 12, 18, 16, 17, 14, 16, 11, 13, 16, 10, 13, 16, 16, 16, 10, 19, 15, 14, 10, 14, 17, 17, 13, 10, 14, 10, 18, 12, 14, 18, 16, 18, 15, 13, 17, 13, 19, 15, 15, 13, 18, 18, 16, 14, 12, 14, 0, 14, 12, 13, 17, 14, 12, 14, 18, 19, 11, 14, 18, 18, 14, 14, 18, 16, 10, 16, 15, 9, 14, 12, 11, 16, 10, 18, 0, 10, 16, 7, 16, 15, 13, 16, 14, 14, 10, 12, 18, 14, 13, 16, 17, 0, 14, 16, 13, 15, 17, 19, 15, 18, 10, 18, 15, 0, 12, 16, 2, 14, 17, 12, 12, 13, 18, 15, 13, 15], \"xaxis\": \"x\", \"yaxis\": \"y\"}],                        {\"barmode\": \"relative\", \"legend\": {\"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"autotypenumbers\": \"strict\", \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Histogram of Total Scores for the Document Only Test Group\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Total Scores\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"count\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('abe12f68-4fc2-4549-bb23-0f90640b5535');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "documentScoreHist = px.histogram(dfDocument, x='Score',\n",
    "                  title='Histogram of Total Scores for the Document Only Test Group', \n",
    "                  labels={'Score':'Total Scores'})\n",
    "documentScoreHist.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "dimensions": [
          {
           "axis": {
            "matches": true
           },
           "label": "Duration",
           "values": [
            232,
            693,
            231,
            1943,
            390,
            217,
            208,
            324,
            179,
            522,
            180,
            255,
            449,
            444,
            203,
            184,
            544,
            294,
            326,
            309,
            191,
            339,
            455,
            398,
            590,
            1136,
            280,
            451,
            339,
            174,
            352,
            450,
            179,
            589,
            556,
            1837,
            571,
            371,
            366,
            379,
            202,
            380,
            347,
            220,
            340,
            401,
            312,
            307,
            296,
            398,
            250,
            1867,
            234,
            238,
            293,
            1005,
            219,
            220,
            257,
            251,
            238,
            110,
            184,
            235,
            180,
            208,
            226,
            193,
            215,
            451,
            284,
            3114,
            266,
            463,
            210,
            449,
            520,
            371,
            302,
            390,
            232,
            565,
            139,
            324,
            571,
            242,
            450,
            276,
            232,
            122,
            251,
            250,
            1029,
            83514,
            551,
            547,
            238,
            319,
            208,
            285,
            834,
            178,
            133,
            278,
            319,
            162,
            345,
            286,
            251,
            385,
            481,
            273,
            273,
            388,
            380,
            351,
            242,
            247,
            1488,
            836,
            796,
            297,
            547,
            83514,
            3114,
            414,
            301,
            36,
            83514,
            340,
            339,
            1162,
            785,
            99,
            239,
            352,
            248,
            262,
            303,
            855,
            269,
            589,
            646,
            565,
            591,
            501,
            67,
            591,
            208,
            338,
            591,
            215
           ]
          },
          {
           "axis": {
            "matches": true
           },
           "label": "Estimation",
           "values": [
            5,
            20,
            10,
            14,
            16,
            15,
            null,
            15,
            15,
            10,
            14,
            10,
            5,
            10,
            null,
            10,
            15,
            16,
            5,
            null,
            18,
            5,
            10,
            15,
            20,
            10,
            16,
            null,
            5,
            15,
            12,
            18,
            15,
            15,
            15,
            5,
            10,
            5,
            11,
            10,
            5,
            7,
            null,
            18,
            12,
            13,
            10,
            10,
            null,
            15,
            15,
            10,
            10,
            10,
            14,
            20,
            5,
            15,
            null,
            15,
            10,
            18,
            20,
            16,
            14,
            null,
            18,
            12,
            13,
            null,
            15,
            19,
            20,
            12,
            15,
            8,
            20,
            5,
            10,
            16,
            15,
            20,
            null,
            10,
            10,
            10,
            18,
            13,
            15,
            10,
            15,
            null,
            15,
            12,
            15,
            20,
            10,
            1,
            20,
            13,
            12,
            null,
            10,
            7,
            1,
            null,
            10,
            10,
            15,
            10,
            null,
            10,
            10,
            10,
            7,
            18,
            10,
            18,
            12,
            20,
            10,
            8,
            20,
            12,
            19,
            20,
            15,
            null,
            12,
            12,
            5,
            10,
            15,
            16,
            15,
            12,
            null,
            4,
            12,
            20,
            10,
            14,
            null,
            20,
            10,
            16,
            2,
            null,
            null,
            10,
            null,
            13
           ]
          },
          {
           "axis": {
            "matches": true
           },
           "label": "Age",
           "values": [
            13,
            28,
            17,
            16,
            19,
            18,
            17,
            17,
            17,
            13,
            38,
            20,
            null,
            15,
            null,
            22,
            17,
            37,
            21,
            null,
            23,
            30,
            17,
            17,
            17,
            14,
            22,
            21,
            30,
            21,
            17,
            18,
            17,
            17,
            16,
            42,
            17,
            16,
            17,
            18,
            13,
            17,
            null,
            18,
            17,
            12,
            65,
            17,
            null,
            17,
            23,
            22,
            16,
            16,
            11,
            14,
            12,
            16,
            null,
            12,
            16,
            22,
            17,
            14,
            38,
            17,
            17,
            37,
            12,
            21,
            17,
            13,
            50,
            null,
            52,
            12,
            16,
            16,
            17,
            19,
            18,
            15,
            null,
            17,
            17,
            18,
            18,
            22,
            18,
            31,
            42,
            17,
            13,
            12,
            12,
            17,
            16,
            14,
            18,
            17,
            39,
            null,
            47,
            13,
            14,
            18,
            13,
            18,
            12,
            20,
            null,
            22,
            20,
            72,
            17,
            33,
            18,
            17,
            12,
            27,
            17,
            23,
            17,
            12,
            13,
            30,
            14,
            null,
            12,
            17,
            30,
            14,
            35,
            32,
            17,
            19,
            null,
            17,
            17,
            19,
            13,
            17,
            null,
            15,
            14,
            23,
            10,
            null,
            17,
            18,
            null,
            12
           ]
          },
          {
           "axis": {
            "matches": true
           },
           "label": "Score",
           "values": [
            16,
            16,
            14,
            17,
            14,
            15,
            18,
            12,
            17,
            19,
            14,
            16,
            11,
            14,
            12,
            15,
            13,
            17,
            14,
            17,
            18,
            13,
            16,
            16,
            18,
            7,
            15,
            13,
            13,
            18,
            15,
            17,
            17,
            12,
            16,
            10,
            12,
            18,
            16,
            17,
            14,
            16,
            11,
            13,
            16,
            10,
            13,
            16,
            16,
            16,
            10,
            19,
            15,
            14,
            10,
            14,
            17,
            17,
            13,
            10,
            14,
            10,
            18,
            12,
            14,
            18,
            16,
            18,
            15,
            13,
            17,
            13,
            19,
            15,
            15,
            13,
            18,
            18,
            16,
            14,
            12,
            14,
            0,
            14,
            12,
            13,
            17,
            14,
            12,
            14,
            18,
            19,
            11,
            14,
            18,
            18,
            14,
            14,
            18,
            16,
            10,
            16,
            15,
            9,
            14,
            12,
            11,
            16,
            10,
            18,
            0,
            10,
            16,
            7,
            16,
            15,
            13,
            16,
            14,
            14,
            10,
            12,
            18,
            14,
            13,
            16,
            17,
            0,
            14,
            16,
            13,
            15,
            17,
            19,
            15,
            18,
            10,
            18,
            15,
            0,
            12,
            16,
            2,
            14,
            17,
            12,
            12,
            13,
            18,
            15,
            13,
            15
           ]
          }
         ],
         "hovertemplate": "%{xaxis.title.text}=%{x}<br>%{yaxis.title.text}=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa",
          "symbol": "circle"
         },
         "name": "",
         "showlegend": false,
         "type": "splom"
        }
       ],
       "layout": {
        "dragmode": "select",
        "legend": {
         "tracegroupgap": 0
        },
        "margin": {
         "t": 60
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"2137ad1f-7325-4897-8e9e-76454873ef0c\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"2137ad1f-7325-4897-8e9e-76454873ef0c\")) {                    Plotly.newPlot(                        \"2137ad1f-7325-4897-8e9e-76454873ef0c\",                        [{\"dimensions\": [{\"axis\": {\"matches\": true}, \"label\": \"Duration\", \"values\": [232, 693, 231, 1943, 390, 217, 208, 324, 179, 522, 180, 255, 449, 444, 203, 184, 544, 294, 326, 309, 191, 339, 455, 398, 590, 1136, 280, 451, 339, 174, 352, 450, 179, 589, 556, 1837, 571, 371, 366, 379, 202, 380, 347, 220, 340, 401, 312, 307, 296, 398, 250, 1867, 234, 238, 293, 1005, 219, 220, 257, 251, 238, 110, 184, 235, 180, 208, 226, 193, 215, 451, 284, 3114, 266, 463, 210, 449, 520, 371, 302, 390, 232, 565, 139, 324, 571, 242, 450, 276, 232, 122, 251, 250, 1029, 83514, 551, 547, 238, 319, 208, 285, 834, 178, 133, 278, 319, 162, 345, 286, 251, 385, 481, 273, 273, 388, 380, 351, 242, 247, 1488, 836, 796, 297, 547, 83514, 3114, 414, 301, 36, 83514, 340, 339, 1162, 785, 99, 239, 352, 248, 262, 303, 855, 269, 589, 646, 565, 591, 501, 67, 591, 208, 338, 591, 215]}, {\"axis\": {\"matches\": true}, \"label\": \"Estimation\", \"values\": [5.0, 20.0, 10.0, 14.0, 16.0, 15.0, null, 15.0, 15.0, 10.0, 14.0, 10.0, 5.0, 10.0, null, 10.0, 15.0, 16.0, 5.0, null, 18.0, 5.0, 10.0, 15.0, 20.0, 10.0, 16.0, null, 5.0, 15.0, 12.0, 18.0, 15.0, 15.0, 15.0, 5.0, 10.0, 5.0, 11.0, 10.0, 5.0, 7.0, null, 18.0, 12.0, 13.0, 10.0, 10.0, null, 15.0, 15.0, 10.0, 10.0, 10.0, 14.0, 20.0, 5.0, 15.0, null, 15.0, 10.0, 18.0, 20.0, 16.0, 14.0, null, 18.0, 12.0, 13.0, null, 15.0, 19.0, 20.0, 12.0, 15.0, 8.0, 20.0, 5.0, 10.0, 16.0, 15.0, 20.0, null, 10.0, 10.0, 10.0, 18.0, 13.0, 15.0, 10.0, 15.0, null, 15.0, 12.0, 15.0, 20.0, 10.0, 1.0, 20.0, 13.0, 12.0, null, 10.0, 7.0, 1.0, null, 10.0, 10.0, 15.0, 10.0, null, 10.0, 10.0, 10.0, 7.0, 18.0, 10.0, 18.0, 12.0, 20.0, 10.0, 8.0, 20.0, 12.0, 19.0, 20.0, 15.0, null, 12.0, 12.0, 5.0, 10.0, 15.0, 16.0, 15.0, 12.0, null, 4.0, 12.0, 20.0, 10.0, 14.0, null, 20.0, 10.0, 16.0, 2.0, null, null, 10.0, null, 13.0]}, {\"axis\": {\"matches\": true}, \"label\": \"Age\", \"values\": [13.0, 28.0, 17.0, 16.0, 19.0, 18.0, 17.0, 17.0, 17.0, 13.0, 38.0, 20.0, null, 15.0, null, 22.0, 17.0, 37.0, 21.0, null, 23.0, 30.0, 17.0, 17.0, 17.0, 14.0, 22.0, 21.0, 30.0, 21.0, 17.0, 18.0, 17.0, 17.0, 16.0, 42.0, 17.0, 16.0, 17.0, 18.0, 13.0, 17.0, null, 18.0, 17.0, 12.0, 65.0, 17.0, null, 17.0, 23.0, 22.0, 16.0, 16.0, 11.0, 14.0, 12.0, 16.0, null, 12.0, 16.0, 22.0, 17.0, 14.0, 38.0, 17.0, 17.0, 37.0, 12.0, 21.0, 17.0, 13.0, 50.0, null, 52.0, 12.0, 16.0, 16.0, 17.0, 19.0, 18.0, 15.0, null, 17.0, 17.0, 18.0, 18.0, 22.0, 18.0, 31.0, 42.0, 17.0, 13.0, 12.0, 12.0, 17.0, 16.0, 14.0, 18.0, 17.0, 39.0, null, 47.0, 13.0, 14.0, 18.0, 13.0, 18.0, 12.0, 20.0, null, 22.0, 20.0, 72.0, 17.0, 33.0, 18.0, 17.0, 12.0, 27.0, 17.0, 23.0, 17.0, 12.0, 13.0, 30.0, 14.0, null, 12.0, 17.0, 30.0, 14.0, 35.0, 32.0, 17.0, 19.0, null, 17.0, 17.0, 19.0, 13.0, 17.0, null, 15.0, 14.0, 23.0, 10.0, null, 17.0, 18.0, null, 12.0]}, {\"axis\": {\"matches\": true}, \"label\": \"Score\", \"values\": [16, 16, 14, 17, 14, 15, 18, 12, 17, 19, 14, 16, 11, 14, 12, 15, 13, 17, 14, 17, 18, 13, 16, 16, 18, 7, 15, 13, 13, 18, 15, 17, 17, 12, 16, 10, 12, 18, 16, 17, 14, 16, 11, 13, 16, 10, 13, 16, 16, 16, 10, 19, 15, 14, 10, 14, 17, 17, 13, 10, 14, 10, 18, 12, 14, 18, 16, 18, 15, 13, 17, 13, 19, 15, 15, 13, 18, 18, 16, 14, 12, 14, 0, 14, 12, 13, 17, 14, 12, 14, 18, 19, 11, 14, 18, 18, 14, 14, 18, 16, 10, 16, 15, 9, 14, 12, 11, 16, 10, 18, 0, 10, 16, 7, 16, 15, 13, 16, 14, 14, 10, 12, 18, 14, 13, 16, 17, 0, 14, 16, 13, 15, 17, 19, 15, 18, 10, 18, 15, 0, 12, 16, 2, 14, 17, 12, 12, 13, 18, 15, 13, 15]}], \"hovertemplate\": \"%{xaxis.title.text}=%{x}<br>%{yaxis.title.text}=%{y}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": \"#636efa\", \"symbol\": \"circle\"}, \"name\": \"\", \"showlegend\": false, \"type\": \"splom\"}],                        {\"dragmode\": \"select\", \"legend\": {\"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"autotypenumbers\": \"strict\", \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('2137ad1f-7325-4897-8e9e-76454873ef0c');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "documentScatter = px.scatter_matrix(dfDocument, dimensions=[\"Duration\", \"Estimation\", \"Age\", \"Score\"])\n",
    "documentScatter.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this and the other test group sections, we'll also calculate the average treatment effect (ATE). This is simply the difference in the means between the test and control groups."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The average treatment effect between the document only test group and the control group is: 0.49\n"
     ]
    }
   ],
   "source": [
    "documentATE = dfDocument['Score'].mean() - dfControl['Score'].mean()\n",
    "print('The average treatment effect between the document only test group and the control group is:',\n",
    "      \"{:.2f}\".format(documentATE))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Video Only Test Group "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "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>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>153.00</td>\n",
       "      <td>153.00</td>\n",
       "      <td>153.00</td>\n",
       "      <td>132.00</td>\n",
       "      <td>137.00</td>\n",
       "      <td>132.00</td>\n",
       "      <td>135.00</td>\n",
       "      <td>143.00</td>\n",
       "      <td>138.00</td>\n",
       "      <td>136.00</td>\n",
       "      <td>138.00</td>\n",
       "      <td>139.00</td>\n",
       "      <td>138.00</td>\n",
       "      <td>138.00</td>\n",
       "      <td>138.00</td>\n",
       "      <td>138.00</td>\n",
       "      <td>138.00</td>\n",
       "      <td>137.00</td>\n",
       "      <td>137.00</td>\n",
       "      <td>135.00</td>\n",
       "      <td>136.00</td>\n",
       "      <td>136.00</td>\n",
       "      <td>136.00</td>\n",
       "      <td>136.00</td>\n",
       "      <td>135.00</td>\n",
       "      <td>136.00</td>\n",
       "      <td>136.00</td>\n",
       "      <td>153.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>153.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>100.00</td>\n",
       "      <td>763.41</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.14</td>\n",
       "      <td>1.67</td>\n",
       "      <td>20.96</td>\n",
       "      <td>5.88</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.52</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.85</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.73</td>\n",
       "      <td>13.81</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.00</td>\n",
       "      <td>3792.24</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.68</td>\n",
       "      <td>0.47</td>\n",
       "      <td>11.73</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.45</td>\n",
       "      <td>5.28</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>100.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>205.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>294.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>11.50</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>473.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>100.00</td>\n",
       "      <td>46154.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>72.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Progress  Duration  Finished  Estimation  Gender    Age  Related Job  \\\n",
       "count    153.00    153.00    153.00      132.00  137.00 132.00       135.00   \n",
       "mean     100.00    763.41      1.00       12.14    1.67  20.96         5.88   \n",
       "std        0.00   3792.24      0.00        4.68    0.47  11.73         0.41   \n",
       "min      100.00     15.00      1.00        0.00    1.00   5.00         4.00   \n",
       "25%      100.00    205.00      1.00       10.00    1.00  16.00         6.00   \n",
       "50%      100.00    294.00      1.00       11.50    2.00  17.00         6.00   \n",
       "75%      100.00    473.00      1.00       15.00    2.00  20.00         6.00   \n",
       "max      100.00  46154.00      1.00       20.00    2.00  72.00         6.00   \n",
       "\n",
       "          Q6     Q7     Q8    Q11    Q12    Q13    Q14    Q15    Q16    Q17  \\\n",
       "count 143.00 138.00 136.00 138.00 139.00 138.00 138.00 138.00 138.00 138.00   \n",
       "mean    0.29   0.79   0.52   0.80   0.16   0.21   0.79   0.20   0.85   0.12   \n",
       "std     0.45   0.41   0.50   0.40   0.37   0.41   0.41   0.40   0.36   0.32   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   1.00   0.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "50%     0.00   1.00   1.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "75%     1.00   1.00   1.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "         Q18    Q19    Q20    Q21    Q22    Q23    Q24    Q25    Q26    Q27  \\\n",
       "count 137.00 137.00 135.00 136.00 136.00 136.00 136.00 135.00 136.00 136.00   \n",
       "mean    0.26   0.76   0.87   0.75   0.36   0.18   0.45   0.91   0.15   0.73   \n",
       "std     0.44   0.43   0.33   0.43   0.48   0.38   0.50   0.29   0.36   0.45   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   1.00   1.00   0.75   0.00   0.00   0.00   1.00   0.00   0.00   \n",
       "50%     0.00   1.00   1.00   1.00   0.00   0.00   0.00   1.00   0.00   1.00   \n",
       "75%     1.00   1.00   1.00   1.00   1.00   0.00   1.00   1.00   0.00   1.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "       Score  Control Group  Doc AND Video Group  Video Group  Document Group  \n",
       "count 153.00           0.00                 0.00       153.00            0.00  \n",
       "mean   13.81            nan                  nan         1.00             nan  \n",
       "std     5.28            nan                  nan         0.00             nan  \n",
       "min     0.00            nan                  nan         1.00             nan  \n",
       "25%    12.00            nan                  nan         1.00             nan  \n",
       "50%    16.00            nan                  nan         1.00             nan  \n",
       "75%    17.00            nan                  nan         1.00             nan  \n",
       "max    20.00            nan                  nan         1.00             nan  "
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfVideo.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "bingroup": "x",
         "hovertemplate": "Total Scores=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa"
         },
         "name": "",
         "offsetgroup": "",
         "orientation": "v",
         "showlegend": false,
         "type": "histogram",
         "x": [
          17,
          14,
          16,
          18,
          19,
          10,
          0,
          17,
          13,
          16,
          15,
          15,
          16,
          13,
          11,
          15,
          17,
          17,
          9,
          15,
          15,
          16,
          16,
          19,
          19,
          14,
          0,
          14,
          16,
          16,
          19,
          13,
          13,
          16,
          16,
          14,
          19,
          0,
          13,
          0,
          18,
          0,
          11,
          19,
          11,
          19,
          11,
          19,
          17,
          19,
          8,
          19,
          14,
          1,
          17,
          18,
          19,
          16,
          16,
          17,
          1,
          13,
          12,
          0,
          15,
          16,
          11,
          17,
          16,
          14,
          19,
          16,
          10,
          12,
          13,
          19,
          15,
          0,
          17,
          19,
          20,
          7,
          0,
          18,
          19,
          16,
          13,
          10,
          20,
          18,
          9,
          14,
          17,
          18,
          15,
          15,
          1,
          19,
          12,
          19,
          15,
          16,
          18,
          16,
          19,
          18,
          6,
          17,
          17,
          18,
          14,
          9,
          16,
          13,
          0,
          10,
          16,
          16,
          0,
          16,
          14,
          17,
          15,
          18,
          16,
          17,
          14,
          17,
          18,
          11,
          16,
          13,
          11,
          17,
          17,
          13,
          14,
          17,
          11,
          5,
          17,
          19,
          14,
          7,
          17,
          11,
          17,
          17,
          0,
          16,
          17,
          16,
          9
         ],
         "xaxis": "x",
         "yaxis": "y"
        }
       ],
       "layout": {
        "barmode": "relative",
        "legend": {
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Histogram of Total Scores for the Video Only Test Group"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Total Scores"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "count"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"bdf95a90-bde9-4ee8-8938-d9e72de098dc\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"bdf95a90-bde9-4ee8-8938-d9e72de098dc\")) {                    Plotly.newPlot(                        \"bdf95a90-bde9-4ee8-8938-d9e72de098dc\",                        [{\"alignmentgroup\": \"True\", \"bingroup\": \"x\", \"hovertemplate\": \"Total Scores=%{x}<br>count=%{y}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": \"#636efa\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"v\", \"showlegend\": false, \"type\": \"histogram\", \"x\": [17, 14, 16, 18, 19, 10, 0, 17, 13, 16, 15, 15, 16, 13, 11, 15, 17, 17, 9, 15, 15, 16, 16, 19, 19, 14, 0, 14, 16, 16, 19, 13, 13, 16, 16, 14, 19, 0, 13, 0, 18, 0, 11, 19, 11, 19, 11, 19, 17, 19, 8, 19, 14, 1, 17, 18, 19, 16, 16, 17, 1, 13, 12, 0, 15, 16, 11, 17, 16, 14, 19, 16, 10, 12, 13, 19, 15, 0, 17, 19, 20, 7, 0, 18, 19, 16, 13, 10, 20, 18, 9, 14, 17, 18, 15, 15, 1, 19, 12, 19, 15, 16, 18, 16, 19, 18, 6, 17, 17, 18, 14, 9, 16, 13, 0, 10, 16, 16, 0, 16, 14, 17, 15, 18, 16, 17, 14, 17, 18, 11, 16, 13, 11, 17, 17, 13, 14, 17, 11, 5, 17, 19, 14, 7, 17, 11, 17, 17, 0, 16, 17, 16, 9], \"xaxis\": \"x\", \"yaxis\": \"y\"}],                        {\"barmode\": \"relative\", \"legend\": {\"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"autotypenumbers\": \"strict\", \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Histogram of Total Scores for the Video Only Test Group\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Total Scores\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"count\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('bdf95a90-bde9-4ee8-8938-d9e72de098dc');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "videoScoreHist = px.histogram(dfVideo, x='Score',\n",
    "                  title='Histogram of Total Scores for the Video Only Test Group', \n",
    "                  labels={'Score':'Total Scores'})\n",
    "videoScoreHist.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "dimensions": [
          {
           "axis": {
            "matches": true
           },
           "label": "Duration",
           "values": [
            517,
            289,
            730,
            223,
            266,
            233,
            782,
            250,
            124,
            227,
            349,
            294,
            619,
            189,
            283,
            473,
            568,
            203,
            148,
            5068,
            123,
            205,
            452,
            435,
            459,
            892,
            217,
            952,
            205,
            281,
            746,
            229,
            124,
            575,
            567,
            2187,
            121,
            33,
            155,
            253,
            815,
            62,
            390,
            2962,
            102,
            344,
            499,
            429,
            410,
            435,
            114,
            514,
            234,
            15,
            334,
            245,
            209,
            412,
            244,
            101,
            15,
            195,
            331,
            394,
            349,
            205,
            465,
            424,
            97,
            952,
            392,
            268,
            229,
            240,
            210,
            561,
            559,
            33,
            327,
            266,
            847,
            262,
            392,
            543,
            121,
            112,
            229,
            269,
            847,
            210,
            437,
            410,
            386,
            107,
            398,
            568,
            15,
            333,
            336,
            261,
            246,
            432,
            714,
            136,
            333,
            276,
            508,
            512,
            101,
            255,
            203,
            151,
            207,
            575,
            62,
            298,
            112,
            423,
            204,
            233,
            175,
            347,
            568,
            107,
            268,
            582,
            669,
            46154,
            107,
            102,
            205,
            104,
            339,
            415,
            287,
            332,
            461,
            355,
            635,
            1230,
            161,
            326,
            8939,
            262,
            1249,
            236,
            112,
            568,
            782,
            231,
            568,
            97,
            337
           ]
          },
          {
           "axis": {
            "matches": true
           },
           "label": "Estimation",
           "values": [
            15,
            10,
            5,
            10,
            11,
            8,
            15,
            2,
            14,
            10,
            10,
            15,
            null,
            15,
            15,
            15,
            13,
            15,
            10,
            null,
            15,
            14,
            12,
            15,
            20,
            19,
            null,
            5,
            14,
            17,
            20,
            10,
            14,
            10,
            10,
            10,
            14,
            10,
            0,
            null,
            15,
            null,
            7,
            18,
            15,
            12,
            null,
            10,
            15,
            15,
            10,
            17,
            17,
            null,
            10,
            10,
            10,
            10,
            17,
            null,
            null,
            15,
            14,
            null,
            10,
            14,
            16,
            10,
            11,
            5,
            8,
            null,
            8,
            10,
            15,
            20,
            20,
            10,
            10,
            11,
            10,
            0,
            null,
            15,
            14,
            10,
            10,
            20,
            10,
            18,
            13,
            12,
            14,
            10,
            20,
            11,
            null,
            18,
            15,
            5,
            7,
            5,
            0,
            10,
            18,
            15,
            5,
            10,
            null,
            10,
            15,
            null,
            null,
            20,
            null,
            19,
            10,
            15,
            null,
            10,
            null,
            16,
            11,
            10,
            null,
            15,
            20,
            20,
            10,
            15,
            14,
            20,
            10,
            3,
            10,
            17,
            5,
            10,
            10,
            5,
            18,
            18,
            10,
            0,
            5,
            null,
            10,
            15,
            15,
            13,
            15,
            11,
            6
           ]
          },
          {
           "axis": {
            "matches": true
           },
           "label": "Age",
           "values": [
            16,
            40,
            27,
            16,
            20,
            16,
            36,
            17,
            15,
            17,
            17,
            12,
            null,
            13,
            18,
            17,
            16,
            28,
            14,
            16,
            13,
            17,
            16,
            17,
            17,
            51,
            null,
            13,
            17,
            18,
            17,
            17,
            15,
            17,
            17,
            22,
            17,
            37,
            16,
            null,
            12,
            null,
            13,
            34,
            17,
            12,
            null,
            17,
            16,
            17,
            18,
            17,
            17,
            null,
            17,
            16,
            21,
            16,
            22,
            null,
            null,
            17,
            17,
            null,
            17,
            17,
            48,
            24,
            54,
            13,
            17,
            null,
            17,
            16,
            25,
            18,
            17,
            37,
            17,
            20,
            22,
            12,
            null,
            60,
            17,
            17,
            17,
            17,
            22,
            51,
            12,
            null,
            47,
            13,
            21,
            17,
            null,
            17,
            20,
            17,
            17,
            38,
            12,
            72,
            17,
            16,
            14,
            16,
            null,
            20,
            21,
            null,
            null,
            16,
            null,
            13,
            17,
            18,
            null,
            18,
            null,
            18,
            17,
            13,
            null,
            17,
            13,
            36,
            13,
            17,
            17,
            30,
            18,
            13,
            16,
            53,
            19,
            17,
            17,
            5,
            17,
            17,
            13,
            12,
            14,
            null,
            68,
            18,
            36,
            16,
            18,
            54,
            13
           ]
          },
          {
           "axis": {
            "matches": true
           },
           "label": "Score",
           "values": [
            17,
            14,
            16,
            18,
            19,
            10,
            0,
            17,
            13,
            16,
            15,
            15,
            16,
            13,
            11,
            15,
            17,
            17,
            9,
            15,
            15,
            16,
            16,
            19,
            19,
            14,
            0,
            14,
            16,
            16,
            19,
            13,
            13,
            16,
            16,
            14,
            19,
            0,
            13,
            0,
            18,
            0,
            11,
            19,
            11,
            19,
            11,
            19,
            17,
            19,
            8,
            19,
            14,
            1,
            17,
            18,
            19,
            16,
            16,
            17,
            1,
            13,
            12,
            0,
            15,
            16,
            11,
            17,
            16,
            14,
            19,
            16,
            10,
            12,
            13,
            19,
            15,
            0,
            17,
            19,
            20,
            7,
            0,
            18,
            19,
            16,
            13,
            10,
            20,
            18,
            9,
            14,
            17,
            18,
            15,
            15,
            1,
            19,
            12,
            19,
            15,
            16,
            18,
            16,
            19,
            18,
            6,
            17,
            17,
            18,
            14,
            9,
            16,
            13,
            0,
            10,
            16,
            16,
            0,
            16,
            14,
            17,
            15,
            18,
            16,
            17,
            14,
            17,
            18,
            11,
            16,
            13,
            11,
            17,
            17,
            13,
            14,
            17,
            11,
            5,
            17,
            19,
            14,
            7,
            17,
            11,
            17,
            17,
            0,
            16,
            17,
            16,
            9
           ]
          }
         ],
         "hovertemplate": "%{xaxis.title.text}=%{x}<br>%{yaxis.title.text}=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa",
          "symbol": "circle"
         },
         "name": "",
         "showlegend": false,
         "type": "splom"
        }
       ],
       "layout": {
        "dragmode": "select",
        "legend": {
         "tracegroupgap": 0
        },
        "margin": {
         "t": 60
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"49e130d2-36a2-458b-9720-de782e9d283a\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"49e130d2-36a2-458b-9720-de782e9d283a\")) {                    Plotly.newPlot(                        \"49e130d2-36a2-458b-9720-de782e9d283a\",                        [{\"dimensions\": [{\"axis\": {\"matches\": true}, \"label\": \"Duration\", \"values\": [517, 289, 730, 223, 266, 233, 782, 250, 124, 227, 349, 294, 619, 189, 283, 473, 568, 203, 148, 5068, 123, 205, 452, 435, 459, 892, 217, 952, 205, 281, 746, 229, 124, 575, 567, 2187, 121, 33, 155, 253, 815, 62, 390, 2962, 102, 344, 499, 429, 410, 435, 114, 514, 234, 15, 334, 245, 209, 412, 244, 101, 15, 195, 331, 394, 349, 205, 465, 424, 97, 952, 392, 268, 229, 240, 210, 561, 559, 33, 327, 266, 847, 262, 392, 543, 121, 112, 229, 269, 847, 210, 437, 410, 386, 107, 398, 568, 15, 333, 336, 261, 246, 432, 714, 136, 333, 276, 508, 512, 101, 255, 203, 151, 207, 575, 62, 298, 112, 423, 204, 233, 175, 347, 568, 107, 268, 582, 669, 46154, 107, 102, 205, 104, 339, 415, 287, 332, 461, 355, 635, 1230, 161, 326, 8939, 262, 1249, 236, 112, 568, 782, 231, 568, 97, 337]}, {\"axis\": {\"matches\": true}, \"label\": \"Estimation\", \"values\": [15.0, 10.0, 5.0, 10.0, 11.0, 8.0, 15.0, 2.0, 14.0, 10.0, 10.0, 15.0, null, 15.0, 15.0, 15.0, 13.0, 15.0, 10.0, null, 15.0, 14.0, 12.0, 15.0, 20.0, 19.0, null, 5.0, 14.0, 17.0, 20.0, 10.0, 14.0, 10.0, 10.0, 10.0, 14.0, 10.0, 0.0, null, 15.0, null, 7.0, 18.0, 15.0, 12.0, null, 10.0, 15.0, 15.0, 10.0, 17.0, 17.0, null, 10.0, 10.0, 10.0, 10.0, 17.0, null, null, 15.0, 14.0, null, 10.0, 14.0, 16.0, 10.0, 11.0, 5.0, 8.0, null, 8.0, 10.0, 15.0, 20.0, 20.0, 10.0, 10.0, 11.0, 10.0, 0.0, null, 15.0, 14.0, 10.0, 10.0, 20.0, 10.0, 18.0, 13.0, 12.0, 14.0, 10.0, 20.0, 11.0, null, 18.0, 15.0, 5.0, 7.0, 5.0, 0.0, 10.0, 18.0, 15.0, 5.0, 10.0, null, 10.0, 15.0, null, null, 20.0, null, 19.0, 10.0, 15.0, null, 10.0, null, 16.0, 11.0, 10.0, null, 15.0, 20.0, 20.0, 10.0, 15.0, 14.0, 20.0, 10.0, 3.0, 10.0, 17.0, 5.0, 10.0, 10.0, 5.0, 18.0, 18.0, 10.0, 0.0, 5.0, null, 10.0, 15.0, 15.0, 13.0, 15.0, 11.0, 6.0]}, {\"axis\": {\"matches\": true}, \"label\": \"Age\", \"values\": [16.0, 40.0, 27.0, 16.0, 20.0, 16.0, 36.0, 17.0, 15.0, 17.0, 17.0, 12.0, null, 13.0, 18.0, 17.0, 16.0, 28.0, 14.0, 16.0, 13.0, 17.0, 16.0, 17.0, 17.0, 51.0, null, 13.0, 17.0, 18.0, 17.0, 17.0, 15.0, 17.0, 17.0, 22.0, 17.0, 37.0, 16.0, null, 12.0, null, 13.0, 34.0, 17.0, 12.0, null, 17.0, 16.0, 17.0, 18.0, 17.0, 17.0, null, 17.0, 16.0, 21.0, 16.0, 22.0, null, null, 17.0, 17.0, null, 17.0, 17.0, 48.0, 24.0, 54.0, 13.0, 17.0, null, 17.0, 16.0, 25.0, 18.0, 17.0, 37.0, 17.0, 20.0, 22.0, 12.0, null, 60.0, 17.0, 17.0, 17.0, 17.0, 22.0, 51.0, 12.0, null, 47.0, 13.0, 21.0, 17.0, null, 17.0, 20.0, 17.0, 17.0, 38.0, 12.0, 72.0, 17.0, 16.0, 14.0, 16.0, null, 20.0, 21.0, null, null, 16.0, null, 13.0, 17.0, 18.0, null, 18.0, null, 18.0, 17.0, 13.0, null, 17.0, 13.0, 36.0, 13.0, 17.0, 17.0, 30.0, 18.0, 13.0, 16.0, 53.0, 19.0, 17.0, 17.0, 5.0, 17.0, 17.0, 13.0, 12.0, 14.0, null, 68.0, 18.0, 36.0, 16.0, 18.0, 54.0, 13.0]}, {\"axis\": {\"matches\": true}, \"label\": \"Score\", \"values\": [17, 14, 16, 18, 19, 10, 0, 17, 13, 16, 15, 15, 16, 13, 11, 15, 17, 17, 9, 15, 15, 16, 16, 19, 19, 14, 0, 14, 16, 16, 19, 13, 13, 16, 16, 14, 19, 0, 13, 0, 18, 0, 11, 19, 11, 19, 11, 19, 17, 19, 8, 19, 14, 1, 17, 18, 19, 16, 16, 17, 1, 13, 12, 0, 15, 16, 11, 17, 16, 14, 19, 16, 10, 12, 13, 19, 15, 0, 17, 19, 20, 7, 0, 18, 19, 16, 13, 10, 20, 18, 9, 14, 17, 18, 15, 15, 1, 19, 12, 19, 15, 16, 18, 16, 19, 18, 6, 17, 17, 18, 14, 9, 16, 13, 0, 10, 16, 16, 0, 16, 14, 17, 15, 18, 16, 17, 14, 17, 18, 11, 16, 13, 11, 17, 17, 13, 14, 17, 11, 5, 17, 19, 14, 7, 17, 11, 17, 17, 0, 16, 17, 16, 9]}], \"hovertemplate\": \"%{xaxis.title.text}=%{x}<br>%{yaxis.title.text}=%{y}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": \"#636efa\", \"symbol\": \"circle\"}, \"name\": \"\", \"showlegend\": false, \"type\": \"splom\"}],                        {\"dragmode\": \"select\", \"legend\": {\"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"autotypenumbers\": \"strict\", \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('49e130d2-36a2-458b-9720-de782e9d283a');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "videoScatter = px.scatter_matrix(dfVideo, dimensions=[\"Duration\", \"Estimation\", \"Age\", \"Score\"])\n",
    "videoScatter.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The average treatment effect between the video only test group and the control group is: 0.17\n"
     ]
    }
   ],
   "source": [
    "videoATE = dfVideo['Score'].mean() - dfControl['Score'].mean()\n",
    "print('The average treatment effect between the video only test group and the control group is:',\n",
    "      \"{:.2f}\".format(videoATE))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Video and Document Test Group "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "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>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>139.00</td>\n",
       "      <td>139.00</td>\n",
       "      <td>139.00</td>\n",
       "      <td>106.00</td>\n",
       "      <td>115.00</td>\n",
       "      <td>109.00</td>\n",
       "      <td>110.00</td>\n",
       "      <td>132.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>129.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>130.00</td>\n",
       "      <td>129.00</td>\n",
       "      <td>129.00</td>\n",
       "      <td>129.00</td>\n",
       "      <td>129.00</td>\n",
       "      <td>139.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>139.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>100.00</td>\n",
       "      <td>1437.10</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.50</td>\n",
       "      <td>1.62</td>\n",
       "      <td>21.72</td>\n",
       "      <td>5.73</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.85</td>\n",
       "      <td>0.68</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.91</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.57</td>\n",
       "      <td>13.59</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.00</td>\n",
       "      <td>8675.68</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.58</td>\n",
       "      <td>0.49</td>\n",
       "      <td>12.64</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.49</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.50</td>\n",
       "      <td>4.45</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>100.00</td>\n",
       "      <td>14.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>223.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>14.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>320.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>515.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>21.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>100.00</td>\n",
       "      <td>99822.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>22.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>69.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Progress  Duration  Finished  Estimation  Gender    Age  Related Job  \\\n",
       "count    139.00    139.00    139.00      106.00  115.00 109.00       110.00   \n",
       "mean     100.00   1437.10      1.00       12.50    1.62  21.72         5.73   \n",
       "std        0.00   8675.68      0.00        4.58    0.49  12.64         0.60   \n",
       "min      100.00     14.00      1.00        1.00    1.00   2.00         4.00   \n",
       "25%      100.00    223.00      1.00       10.00    1.00  14.00         6.00   \n",
       "50%      100.00    320.00      1.00       12.00    2.00  17.00         6.00   \n",
       "75%      100.00    515.00      1.00       15.00    2.00  21.00         6.00   \n",
       "max      100.00  99822.00      1.00       22.00    2.00  69.00         6.00   \n",
       "\n",
       "          Q6     Q7     Q8    Q11    Q12    Q13    Q14    Q15    Q16    Q17  \\\n",
       "count 132.00 130.00 130.00 130.00 130.00 130.00 130.00 130.00 130.00 129.00   \n",
       "mean    0.33   0.73   0.41   0.80   0.19   0.15   0.83   0.32   0.78   0.14   \n",
       "std     0.47   0.45   0.49   0.40   0.40   0.35   0.38   0.47   0.42   0.35   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   0.00   0.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "50%     0.00   1.00   0.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "75%     1.00   1.00   1.00   1.00   0.00   0.00   1.00   1.00   1.00   0.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "         Q18    Q19    Q20    Q21    Q22    Q23    Q24    Q25    Q26    Q27  \\\n",
       "count 130.00 130.00 130.00 130.00 130.00 130.00 129.00 129.00 129.00 129.00   \n",
       "mean    0.35   0.76   0.85   0.68   0.39   0.22   0.47   0.91   0.20   0.57   \n",
       "std     0.48   0.43   0.35   0.47   0.49   0.42   0.50   0.29   0.40   0.50   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   1.00   1.00   0.00   0.00   0.00   0.00   1.00   0.00   0.00   \n",
       "50%     0.00   1.00   1.00   1.00   0.00   0.00   0.00   1.00   0.00   1.00   \n",
       "75%     1.00   1.00   1.00   1.00   1.00   0.00   1.00   1.00   0.00   1.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "       Score  Control Group  Doc AND Video Group  Video Group  Document Group  \n",
       "count 139.00           0.00               139.00         0.00            0.00  \n",
       "mean   13.59            nan                 1.00          nan             nan  \n",
       "std     4.45            nan                 0.00          nan             nan  \n",
       "min     0.00            nan                 1.00          nan             nan  \n",
       "25%    12.00            nan                 1.00          nan             nan  \n",
       "50%    15.00            nan                 1.00          nan             nan  \n",
       "75%    17.00            nan                 1.00          nan             nan  \n",
       "max    20.00            nan                 1.00          nan             nan  "
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfVidDoc.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "bingroup": "x",
         "hovertemplate": "Total Scores=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa"
         },
         "name": "",
         "offsetgroup": "",
         "orientation": "v",
         "showlegend": false,
         "type": "histogram",
         "x": [
          17,
          15,
          18,
          18,
          17,
          16,
          17,
          20,
          17,
          17,
          14,
          16,
          15,
          16,
          12,
          20,
          16,
          16,
          14,
          16,
          18,
          16,
          12,
          9,
          16,
          13,
          17,
          16,
          14,
          11,
          19,
          17,
          17,
          0,
          13,
          11,
          13,
          17,
          16,
          16,
          15,
          16,
          17,
          13,
          18,
          17,
          13,
          9,
          0,
          11,
          5,
          17,
          14,
          12,
          19,
          19,
          13,
          13,
          9,
          9,
          12,
          17,
          12,
          18,
          10,
          7,
          18,
          14,
          18,
          14,
          8,
          10,
          16,
          2,
          15,
          15,
          16,
          13,
          19,
          15,
          17,
          18,
          15,
          0,
          10,
          17,
          16,
          13,
          13,
          13,
          11,
          0,
          15,
          15,
          16,
          13,
          15,
          8,
          13,
          16,
          11,
          17,
          11,
          5,
          17,
          17,
          13,
          12,
          16,
          17,
          20,
          13,
          17,
          1,
          10,
          11,
          0,
          13,
          13,
          0,
          12,
          13,
          12,
          14,
          15,
          16,
          13,
          10,
          17,
          16,
          13,
          10,
          13,
          14,
          17,
          11,
          20,
          15,
          14
         ],
         "xaxis": "x",
         "yaxis": "y"
        }
       ],
       "layout": {
        "barmode": "relative",
        "legend": {
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Histogram of Total Scores for the Video and Document Test Group"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Total Scores"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "count"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"f493f00b-327c-4b97-b8ba-4f370fa576b3\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"f493f00b-327c-4b97-b8ba-4f370fa576b3\")) {                    Plotly.newPlot(                        \"f493f00b-327c-4b97-b8ba-4f370fa576b3\",                        [{\"alignmentgroup\": \"True\", \"bingroup\": \"x\", \"hovertemplate\": \"Total Scores=%{x}<br>count=%{y}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": \"#636efa\"}, \"name\": \"\", \"offsetgroup\": \"\", \"orientation\": \"v\", \"showlegend\": false, \"type\": \"histogram\", \"x\": [17, 15, 18, 18, 17, 16, 17, 20, 17, 17, 14, 16, 15, 16, 12, 20, 16, 16, 14, 16, 18, 16, 12, 9, 16, 13, 17, 16, 14, 11, 19, 17, 17, 0, 13, 11, 13, 17, 16, 16, 15, 16, 17, 13, 18, 17, 13, 9, 0, 11, 5, 17, 14, 12, 19, 19, 13, 13, 9, 9, 12, 17, 12, 18, 10, 7, 18, 14, 18, 14, 8, 10, 16, 2, 15, 15, 16, 13, 19, 15, 17, 18, 15, 0, 10, 17, 16, 13, 13, 13, 11, 0, 15, 15, 16, 13, 15, 8, 13, 16, 11, 17, 11, 5, 17, 17, 13, 12, 16, 17, 20, 13, 17, 1, 10, 11, 0, 13, 13, 0, 12, 13, 12, 14, 15, 16, 13, 10, 17, 16, 13, 10, 13, 14, 17, 11, 20, 15, 14], \"xaxis\": \"x\", \"yaxis\": \"y\"}],                        {\"barmode\": \"relative\", \"legend\": {\"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"autotypenumbers\": \"strict\", \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Histogram of Total Scores for the Video and Document Test Group\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"Total Scores\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"count\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('f493f00b-327c-4b97-b8ba-4f370fa576b3');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vidDocScoreHist = px.histogram(dfVidDoc, x='Score',\n",
    "                  title='Histogram of Total Scores for the Video and Document Test Group',\n",
    "                  labels={'Score':'Total Scores'})\n",
    "vidDocScoreHist.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "dimensions": [
          {
           "axis": {
            "matches": true
           },
           "label": "Duration",
           "values": [
            277,
            256,
            364,
            457,
            268,
            346,
            17921,
            284,
            130,
            401,
            277,
            268,
            249,
            229,
            230,
            248,
            280,
            190,
            839,
            804,
            599,
            607,
            976,
            481,
            203,
            162,
            236,
            439,
            193,
            197,
            260,
            330,
            256,
            343,
            3081,
            3131,
            523,
            620,
            320,
            569,
            266,
            71,
            137,
            226,
            259,
            471,
            694,
            2079,
            748,
            144,
            101,
            198,
            609,
            297,
            284,
            171,
            1084,
            1004,
            1129,
            377,
            1474,
            240,
            420,
            531,
            688,
            609,
            233,
            537,
            417,
            637,
            516,
            467,
            499,
            135,
            327,
            373,
            424,
            71,
            694,
            245,
            219,
            255,
            310,
            514,
            295,
            228,
            256,
            346,
            360,
            451,
            585,
            424,
            192,
            179,
            357,
            122,
            744,
            149,
            256,
            363,
            209,
            125,
            17629,
            37,
            354,
            143,
            405,
            418,
            507,
            225,
            555,
            428,
            152,
            83,
            1956,
            283,
            14,
            378,
            156,
            187,
            272,
            99822,
            2374,
            4499,
            420,
            589,
            332,
            270,
            469,
            241,
            221,
            251,
            178,
            167,
            508,
            214,
            106,
            102,
            143
           ]
          },
          {
           "axis": {
            "matches": true
           },
           "label": "Estimation",
           "values": [
            12,
            15,
            10,
            15,
            null,
            5,
            20,
            20,
            18,
            20,
            13,
            10,
            15,
            15,
            10,
            22,
            10,
            18,
            null,
            15,
            15,
            null,
            null,
            null,
            null,
            17,
            10,
            8,
            15,
            null,
            15,
            12,
            15,
            null,
            3,
            5,
            null,
            15,
            10,
            10,
            13,
            null,
            15,
            10,
            10,
            10,
            10,
            null,
            null,
            20,
            null,
            null,
            18,
            10,
            16,
            10,
            6,
            16,
            15,
            null,
            10,
            null,
            6,
            17,
            1,
            17,
            15,
            16,
            17,
            10,
            10,
            5,
            10,
            null,
            10,
            10,
            14,
            16,
            null,
            10,
            10,
            10,
            20,
            20,
            null,
            null,
            10,
            2,
            10,
            17,
            14,
            15,
            10,
            15,
            20,
            18,
            12,
            5,
            10,
            12,
            15,
            15,
            15,
            null,
            null,
            20,
            5,
            null,
            5,
            null,
            4,
            16,
            18,
            null,
            null,
            14,
            null,
            null,
            14,
            null,
            null,
            null,
            5,
            10,
            10,
            10,
            null,
            null,
            10,
            10,
            12,
            10,
            15,
            14,
            16,
            10,
            19,
            5,
            12
           ]
          },
          {
           "axis": {
            "matches": true
           },
           "label": "Age",
           "values": [
            17,
            17,
            17,
            18,
            19,
            11,
            38,
            19,
            20,
            38,
            13,
            19,
            26,
            30,
            12,
            69,
            19,
            37,
            12,
            46,
            21,
            null,
            null,
            null,
            null,
            20,
            19,
            19,
            21,
            null,
            20,
            19,
            19,
            null,
            14,
            13,
            null,
            21,
            9,
            20,
            13,
            null,
            38,
            37,
            16,
            17,
            10,
            null,
            null,
            19,
            null,
            20,
            26,
            50,
            47,
            15,
            14,
            13,
            14,
            null,
            24,
            21,
            14,
            13,
            13,
            14,
            20,
            12,
            13,
            13,
            13,
            13,
            20,
            23,
            17,
            17,
            17,
            18,
            null,
            15,
            17,
            17,
            17,
            51,
            null,
            null,
            17,
            null,
            18,
            9,
            9,
            17,
            16,
            13,
            23,
            28,
            15,
            39,
            51,
            21,
            50,
            18,
            17,
            null,
            null,
            21,
            2,
            null,
            13,
            null,
            13,
            null,
            12,
            null,
            null,
            13,
            null,
            null,
            13,
            null,
            null,
            null,
            42,
            66,
            15,
            34,
            null,
            null,
            16,
            15,
            15,
            13,
            24,
            14,
            20,
            17,
            36,
            66,
            34
           ]
          },
          {
           "axis": {
            "matches": true
           },
           "label": "Score",
           "values": [
            17,
            15,
            18,
            18,
            17,
            16,
            17,
            20,
            17,
            17,
            14,
            16,
            15,
            16,
            12,
            20,
            16,
            16,
            14,
            16,
            18,
            16,
            12,
            9,
            16,
            13,
            17,
            16,
            14,
            11,
            19,
            17,
            17,
            0,
            13,
            11,
            13,
            17,
            16,
            16,
            15,
            16,
            17,
            13,
            18,
            17,
            13,
            9,
            0,
            11,
            5,
            17,
            14,
            12,
            19,
            19,
            13,
            13,
            9,
            9,
            12,
            17,
            12,
            18,
            10,
            7,
            18,
            14,
            18,
            14,
            8,
            10,
            16,
            2,
            15,
            15,
            16,
            13,
            19,
            15,
            17,
            18,
            15,
            0,
            10,
            17,
            16,
            13,
            13,
            13,
            11,
            0,
            15,
            15,
            16,
            13,
            15,
            8,
            13,
            16,
            11,
            17,
            11,
            5,
            17,
            17,
            13,
            12,
            16,
            17,
            20,
            13,
            17,
            1,
            10,
            11,
            0,
            13,
            13,
            0,
            12,
            13,
            12,
            14,
            15,
            16,
            13,
            10,
            17,
            16,
            13,
            10,
            13,
            14,
            17,
            11,
            20,
            15,
            14
           ]
          }
         ],
         "hovertemplate": "%{xaxis.title.text}=%{x}<br>%{yaxis.title.text}=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#636efa",
          "symbol": "circle"
         },
         "name": "",
         "showlegend": false,
         "type": "splom"
        }
       ],
       "layout": {
        "dragmode": "select",
        "legend": {
         "tracegroupgap": 0
        },
        "margin": {
         "t": 60
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"c0acbbdd-a01e-49c1-8c9e-5df7979827a5\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"c0acbbdd-a01e-49c1-8c9e-5df7979827a5\")) {                    Plotly.newPlot(                        \"c0acbbdd-a01e-49c1-8c9e-5df7979827a5\",                        [{\"dimensions\": [{\"axis\": {\"matches\": true}, \"label\": \"Duration\", \"values\": [277, 256, 364, 457, 268, 346, 17921, 284, 130, 401, 277, 268, 249, 229, 230, 248, 280, 190, 839, 804, 599, 607, 976, 481, 203, 162, 236, 439, 193, 197, 260, 330, 256, 343, 3081, 3131, 523, 620, 320, 569, 266, 71, 137, 226, 259, 471, 694, 2079, 748, 144, 101, 198, 609, 297, 284, 171, 1084, 1004, 1129, 377, 1474, 240, 420, 531, 688, 609, 233, 537, 417, 637, 516, 467, 499, 135, 327, 373, 424, 71, 694, 245, 219, 255, 310, 514, 295, 228, 256, 346, 360, 451, 585, 424, 192, 179, 357, 122, 744, 149, 256, 363, 209, 125, 17629, 37, 354, 143, 405, 418, 507, 225, 555, 428, 152, 83, 1956, 283, 14, 378, 156, 187, 272, 99822, 2374, 4499, 420, 589, 332, 270, 469, 241, 221, 251, 178, 167, 508, 214, 106, 102, 143]}, {\"axis\": {\"matches\": true}, \"label\": \"Estimation\", \"values\": [12.0, 15.0, 10.0, 15.0, null, 5.0, 20.0, 20.0, 18.0, 20.0, 13.0, 10.0, 15.0, 15.0, 10.0, 22.0, 10.0, 18.0, null, 15.0, 15.0, null, null, null, null, 17.0, 10.0, 8.0, 15.0, null, 15.0, 12.0, 15.0, null, 3.0, 5.0, null, 15.0, 10.0, 10.0, 13.0, null, 15.0, 10.0, 10.0, 10.0, 10.0, null, null, 20.0, null, null, 18.0, 10.0, 16.0, 10.0, 6.0, 16.0, 15.0, null, 10.0, null, 6.0, 17.0, 1.0, 17.0, 15.0, 16.0, 17.0, 10.0, 10.0, 5.0, 10.0, null, 10.0, 10.0, 14.0, 16.0, null, 10.0, 10.0, 10.0, 20.0, 20.0, null, null, 10.0, 2.0, 10.0, 17.0, 14.0, 15.0, 10.0, 15.0, 20.0, 18.0, 12.0, 5.0, 10.0, 12.0, 15.0, 15.0, 15.0, null, null, 20.0, 5.0, null, 5.0, null, 4.0, 16.0, 18.0, null, null, 14.0, null, null, 14.0, null, null, null, 5.0, 10.0, 10.0, 10.0, null, null, 10.0, 10.0, 12.0, 10.0, 15.0, 14.0, 16.0, 10.0, 19.0, 5.0, 12.0]}, {\"axis\": {\"matches\": true}, \"label\": \"Age\", \"values\": [17.0, 17.0, 17.0, 18.0, 19.0, 11.0, 38.0, 19.0, 20.0, 38.0, 13.0, 19.0, 26.0, 30.0, 12.0, 69.0, 19.0, 37.0, 12.0, 46.0, 21.0, null, null, null, null, 20.0, 19.0, 19.0, 21.0, null, 20.0, 19.0, 19.0, null, 14.0, 13.0, null, 21.0, 9.0, 20.0, 13.0, null, 38.0, 37.0, 16.0, 17.0, 10.0, null, null, 19.0, null, 20.0, 26.0, 50.0, 47.0, 15.0, 14.0, 13.0, 14.0, null, 24.0, 21.0, 14.0, 13.0, 13.0, 14.0, 20.0, 12.0, 13.0, 13.0, 13.0, 13.0, 20.0, 23.0, 17.0, 17.0, 17.0, 18.0, null, 15.0, 17.0, 17.0, 17.0, 51.0, null, null, 17.0, null, 18.0, 9.0, 9.0, 17.0, 16.0, 13.0, 23.0, 28.0, 15.0, 39.0, 51.0, 21.0, 50.0, 18.0, 17.0, null, null, 21.0, 2.0, null, 13.0, null, 13.0, null, 12.0, null, null, 13.0, null, null, 13.0, null, null, null, 42.0, 66.0, 15.0, 34.0, null, null, 16.0, 15.0, 15.0, 13.0, 24.0, 14.0, 20.0, 17.0, 36.0, 66.0, 34.0]}, {\"axis\": {\"matches\": true}, \"label\": \"Score\", \"values\": [17, 15, 18, 18, 17, 16, 17, 20, 17, 17, 14, 16, 15, 16, 12, 20, 16, 16, 14, 16, 18, 16, 12, 9, 16, 13, 17, 16, 14, 11, 19, 17, 17, 0, 13, 11, 13, 17, 16, 16, 15, 16, 17, 13, 18, 17, 13, 9, 0, 11, 5, 17, 14, 12, 19, 19, 13, 13, 9, 9, 12, 17, 12, 18, 10, 7, 18, 14, 18, 14, 8, 10, 16, 2, 15, 15, 16, 13, 19, 15, 17, 18, 15, 0, 10, 17, 16, 13, 13, 13, 11, 0, 15, 15, 16, 13, 15, 8, 13, 16, 11, 17, 11, 5, 17, 17, 13, 12, 16, 17, 20, 13, 17, 1, 10, 11, 0, 13, 13, 0, 12, 13, 12, 14, 15, 16, 13, 10, 17, 16, 13, 10, 13, 14, 17, 11, 20, 15, 14]}], \"hovertemplate\": \"%{xaxis.title.text}=%{x}<br>%{yaxis.title.text}=%{y}<extra></extra>\", \"legendgroup\": \"\", \"marker\": {\"color\": \"#636efa\", \"symbol\": \"circle\"}, \"name\": \"\", \"showlegend\": false, \"type\": \"splom\"}],                        {\"dragmode\": \"select\", \"legend\": {\"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"autotypenumbers\": \"strict\", \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('c0acbbdd-a01e-49c1-8c9e-5df7979827a5');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vidDocScatter = px.scatter_matrix(dfVidDoc, dimensions=[\"Duration\", \"Estimation\", \"Age\", \"Score\"])\n",
    "vidDocScatter.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The average treatment effect between the video and document test group and the control group is: -0.05\n"
     ]
    }
   ],
   "source": [
    "vidDocATE = dfVidDoc['Score'].mean() - dfControl['Score'].mean()\n",
    "print('The average treatment effect between the video and document test group and the control group is:',\n",
    "      \"{:.2f}\".format(vidDocATE))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Attrition and Covariate Balance Checks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Attrition Check"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For experiments that involve humans (or non-humans) performing a task that is more involved than a click, expect attrition. Not everyone will finish the test, the program, or in this case, the survey. If you don't see this, be suspicious. Here, we're going to see if the attrition is significantly different across groups."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "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>StartDate</th>\n",
       "      <th>EndDate</th>\n",
       "      <th>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>12/1/18 16:13</td>\n",
       "      <td>12/1/18 17:03</td>\n",
       "      <td>78</td>\n",
       "      <td>2965</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>599</th>\n",
       "      <td>12/10/18 9:25</td>\n",
       "      <td>12/10/18 10:01</td>\n",
       "      <td>78</td>\n",
       "      <td>2171</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>12/5/18 3:35</td>\n",
       "      <td>12/5/18 3:37</td>\n",
       "      <td>75</td>\n",
       "      <td>112</td>\n",
       "      <td>0</td>\n",
       "      <td>16.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>22.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601</th>\n",
       "      <td>12/10/18 8:21</td>\n",
       "      <td>12/10/18 8:22</td>\n",
       "      <td>76</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>17.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>602</th>\n",
       "      <td>12/10/18 6:36</td>\n",
       "      <td>12/10/18 6:37</td>\n",
       "      <td>78</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>15.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>18.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         StartDate         EndDate  Progress  Duration  Finished  Estimation  \\\n",
       "598  12/1/18 16:13   12/1/18 17:03        78      2965         0         nan   \n",
       "599  12/10/18 9:25  12/10/18 10:01        78      2171         0         nan   \n",
       "600   12/5/18 3:35    12/5/18 3:37        75       112         0       16.00   \n",
       "601  12/10/18 8:21   12/10/18 8:22        76        47         0       17.00   \n",
       "602  12/10/18 6:36   12/10/18 6:37        78        17         0       15.00   \n",
       "\n",
       "     Gender   Age  Related Job  Q6  Q7  Q8  Q11  Q12  Q13  Q14  Q15  Q16  Q17  \\\n",
       "598     nan   nan          nan nan nan nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "599     nan   nan          nan nan nan nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "600    2.00 22.00         5.00 nan nan nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "601    1.00 16.00         6.00 nan nan nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "602    1.00 18.00         6.00 nan nan nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "\n",
       "     Q18  Q19  Q20  Q21  Q22  Q23  Q24  Q25  Q26  Q27  Score  Control Group  \\\n",
       "598  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan      0            nan   \n",
       "599  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan      0            nan   \n",
       "600  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan      0            nan   \n",
       "601  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan      0            nan   \n",
       "602  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan      0            nan   \n",
       "\n",
       "     Doc AND Video Group  Video Group  Document Group  \n",
       "598                  nan          nan            1.00  \n",
       "599                 1.00          nan             nan  \n",
       "600                 1.00          nan             nan  \n",
       "601                  nan          nan            1.00  \n",
       "602                  nan         1.00             nan  "
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create an attrition dataframe\n",
    "dfAttrition = df.loc[df['Finished'] != 1]\n",
    "dfAttrition.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we'll create dataframes for each group, then add a column called \"Group\", with each group labeled. This makes it easy to perform an analysis of variance (ANOVA) test.\n",
    "\n",
    "We want to at least start off with an ANOVA test instead of a t-test when we have multiple groups like this. The reason being, it tests for *any* significant difference between the groups. If, instead, we were to use a series of t-tests, the p-values would inflate as an artifact, meaning the tests would be underpowered. Then, if there is a significant difference, we can use t-tests between individual pairs to find where a significant difference (or more) might lie. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfAttControl = dfAttrition.loc[df['Control Group'] == 1]\n",
    "dfAttDocument = dfAttrition.loc[df['Document Group'] == 1]\n",
    "dfAttVideo = dfAttrition.loc[df['Video Group'] == 1]\n",
    "dfAttVidAndDoc = dfAttrition.loc[df['Doc AND Video Group'] == 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-131-8aacde9fdff6>:1: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "<ipython-input-131-8aacde9fdff6>:2: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "<ipython-input-131-8aacde9fdff6>:3: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "<ipython-input-131-8aacde9fdff6>:4: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n"
     ]
    }
   ],
   "source": [
    "dfAttControl['Group'] = 'Control'\n",
    "dfAttDocument['Group'] = 'Document'\n",
    "dfAttVideo['Group'] = 'Video'\n",
    "dfAttVidAndDoc['Group'] = 'Doc AND Video'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "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>StartDate</th>\n",
       "      <th>EndDate</th>\n",
       "      <th>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "      <th>Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>606</th>\n",
       "      <td>12/5/18 0:16</td>\n",
       "      <td>12/5/18 2:20</td>\n",
       "      <td>78</td>\n",
       "      <td>7454</td>\n",
       "      <td>0</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>Control</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>628</th>\n",
       "      <td>12/9/18 21:49</td>\n",
       "      <td>12/9/18 21:50</td>\n",
       "      <td>78</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>6.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>Control</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>635</th>\n",
       "      <td>12/5/18 0:16</td>\n",
       "      <td>12/5/18 2:20</td>\n",
       "      <td>78</td>\n",
       "      <td>7454</td>\n",
       "      <td>0</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>Control</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>647</th>\n",
       "      <td>12/7/18 14:20</td>\n",
       "      <td>12/7/18 14:22</td>\n",
       "      <td>78</td>\n",
       "      <td>76</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>Control</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>12/7/18 8:51</td>\n",
       "      <td>12/7/18 8:52</td>\n",
       "      <td>78</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>Control</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         StartDate        EndDate  Progress  Duration  Finished  Estimation  \\\n",
       "606   12/5/18 0:16   12/5/18 2:20        78      7454         0       10.00   \n",
       "628  12/9/18 21:49  12/9/18 21:50        78        63         0         nan   \n",
       "635   12/5/18 0:16   12/5/18 2:20        78      7454         0       10.00   \n",
       "647  12/7/18 14:20  12/7/18 14:22        78        76         0         nan   \n",
       "657   12/7/18 8:51   12/7/18 8:52        78        45         0         nan   \n",
       "\n",
       "     Gender   Age  Related Job  Q6  Q7  Q8  Q11  Q12  Q13  Q14  Q15  Q16  Q17  \\\n",
       "606    2.00 17.00         6.00 nan nan nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "628    1.00   nan         6.00 nan nan nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "635    2.00 17.00         6.00 nan nan nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "647     nan   nan          nan nan nan nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "657     nan   nan          nan nan nan nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "\n",
       "     Q18  Q19  Q20  Q21  Q22  Q23  Q24  Q25  Q26  Q27  Score  Control Group  \\\n",
       "606  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan      0           1.00   \n",
       "628  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan      0           1.00   \n",
       "635  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan      0           1.00   \n",
       "647  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan      0           1.00   \n",
       "657  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan      0           1.00   \n",
       "\n",
       "     Doc AND Video Group  Video Group  Document Group    Group  \n",
       "606                  nan          nan             nan  Control  \n",
       "628                  nan          nan             nan  Control  \n",
       "635                  nan          nan             nan  Control  \n",
       "647                  nan          nan             nan  Control  \n",
       "657                  nan          nan             nan  Control  "
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>113.00</td>\n",
       "      <td>113.00</td>\n",
       "      <td>113.00</td>\n",
       "      <td>60.00</td>\n",
       "      <td>68.00</td>\n",
       "      <td>65.00</td>\n",
       "      <td>68.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>113.00</td>\n",
       "      <td>11.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>37.00</td>\n",
       "      <td>45.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>77.49</td>\n",
       "      <td>2103.18</td>\n",
       "      <td>0.00</td>\n",
       "      <td>13.53</td>\n",
       "      <td>1.56</td>\n",
       "      <td>22.65</td>\n",
       "      <td>5.49</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.02</td>\n",
       "      <td>7223.10</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5.19</td>\n",
       "      <td>0.50</td>\n",
       "      <td>12.75</td>\n",
       "      <td>0.76</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>75.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>78.00</td>\n",
       "      <td>43.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>16.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>78.00</td>\n",
       "      <td>92.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>18.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>78.00</td>\n",
       "      <td>385.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>16.25</td>\n",
       "      <td>2.00</td>\n",
       "      <td>26.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>78.00</td>\n",
       "      <td>62760.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>57.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Progress  Duration  Finished  Estimation  Gender   Age  Related Job  \\\n",
       "count    113.00    113.00    113.00       60.00   68.00 65.00        68.00   \n",
       "mean      77.49   2103.18      0.00       13.53    1.56 22.65         5.49   \n",
       "std        1.02   7223.10      0.00        5.19    0.50 12.75         0.76   \n",
       "min       75.00      5.00      0.00        0.00    1.00  2.00         4.00   \n",
       "25%       78.00     43.00      0.00       10.00    1.00 16.00         5.00   \n",
       "50%       78.00     92.00      0.00       15.00    2.00 18.00         6.00   \n",
       "75%       78.00    385.00      0.00       16.25    2.00 26.00         6.00   \n",
       "max       78.00  62760.00      0.00       20.00    2.00 57.00         6.00   \n",
       "\n",
       "        Q6   Q7   Q8  Q11  Q12  Q13  Q14  Q15  Q16  Q17  Q18  Q19  Q20  Q21  \\\n",
       "count 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00   \n",
       "mean   nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "std    nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "min    nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "25%    nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "50%    nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "75%    nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "max    nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan  nan   \n",
       "\n",
       "       Q22  Q23  Q24  Q25  Q26  Q27  Score  Control Group  \\\n",
       "count 0.00 0.00 0.00 0.00 0.00 0.00 113.00          11.00   \n",
       "mean   nan  nan  nan  nan  nan  nan   0.00           1.00   \n",
       "std    nan  nan  nan  nan  nan  nan   0.00           0.00   \n",
       "min    nan  nan  nan  nan  nan  nan   0.00           1.00   \n",
       "25%    nan  nan  nan  nan  nan  nan   0.00           1.00   \n",
       "50%    nan  nan  nan  nan  nan  nan   0.00           1.00   \n",
       "75%    nan  nan  nan  nan  nan  nan   0.00           1.00   \n",
       "max    nan  nan  nan  nan  nan  nan   0.00           1.00   \n",
       "\n",
       "       Doc AND Video Group  Video Group  Document Group  \n",
       "count                20.00        37.00           45.00  \n",
       "mean                  1.00         1.00            1.00  \n",
       "std                   0.00         0.00            0.00  \n",
       "min                   1.00         1.00            1.00  \n",
       "25%                   1.00         1.00            1.00  \n",
       "50%                   1.00         1.00            1.00  \n",
       "75%                   1.00         1.00            1.00  \n",
       "max                   1.00         1.00            1.00  "
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfAttrition = pd.concat([dfAttControl,dfAttDocument,dfAttVideo,dfAttVidAndDoc])\n",
    "dfAttrition.head()\n",
    "dfAttrition.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:               Progress   R-squared:                       0.216\n",
      "Model:                            OLS   Adj. R-squared:                  0.195\n",
      "Method:                 Least Squares   F-statistic:                     10.02\n",
      "Date:                Mon, 29 Mar 2021   Prob (F-statistic):           6.88e-06\n",
      "Time:                        21:58:54   Log-Likelihood:                -148.17\n",
      "No. Observations:                 113   AIC:                             304.3\n",
      "Df Residuals:                     109   BIC:                             315.2\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=============================================================================================\n",
      "                                coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------------------\n",
      "Intercept                    78.0000      0.276    282.977      0.000      77.454      78.546\n",
      "C(Group)[T.Doc AND Video]    -1.5000      0.343     -4.371      0.000      -2.180      -0.820\n",
      "C(Group)[T.Document]         -0.4000      0.307     -1.301      0.196      -1.009       0.209\n",
      "C(Group)[T.Video]            -0.2703      0.314     -0.861      0.391      -0.893       0.352\n",
      "==============================================================================\n",
      "Omnibus:                        9.431   Durbin-Watson:                   2.071\n",
      "Prob(Omnibus):                  0.009   Jarque-Bera (JB):               10.245\n",
      "Skew:                          -0.731   Prob(JB):                      0.00596\n",
      "Kurtosis:                       2.806   Cond. No.                         7.59\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "anovaAttrition = smf.ols(formula='Progress ~ C(Group)', data=dfAttrition).fit()\n",
    "print(anovaAttrition.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Covariate Balance Check"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The purpose of the covariate balance check is to see if the covariates such as age and gender are balanced across groups. Essentially, think of this as checking on your randomization and making sure you didn't get an imbalanced sample. It's unlikely but possible, especially with sample sizes this small. We'll follow basically the same steps as we did with attrition, only conduct hypothesis testing regarding the covariates for the fully complete samples instead of the attrition."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-134-a0f8bf458e6e>:1: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "<ipython-input-134-a0f8bf458e6e>:2: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "<ipython-input-134-a0f8bf458e6e>:3: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n",
      "<ipython-input-134-a0f8bf458e6e>:4: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n"
     ]
    }
   ],
   "source": [
    "dfControl['Group'] = 'Control'\n",
    "dfDocument['Group'] = 'Document'\n",
    "dfVideo['Group'] = 'Video'\n",
    "dfVidDoc['Group'] = 'Doc AND Video'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "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>StartDate</th>\n",
       "      <th>EndDate</th>\n",
       "      <th>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "      <th>Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12/4/18 2:24</td>\n",
       "      <td>12/4/18 2:27</td>\n",
       "      <td>100</td>\n",
       "      <td>205</td>\n",
       "      <td>1</td>\n",
       "      <td>12.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>Control</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12/4/18 2:24</td>\n",
       "      <td>12/4/18 2:29</td>\n",
       "      <td>100</td>\n",
       "      <td>267</td>\n",
       "      <td>1</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>Control</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12/4/18 2:24</td>\n",
       "      <td>12/4/18 2:31</td>\n",
       "      <td>100</td>\n",
       "      <td>441</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>18.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>13</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>Control</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12/4/18 2:25</td>\n",
       "      <td>12/4/18 2:31</td>\n",
       "      <td>100</td>\n",
       "      <td>347</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>18.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>13</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>Control</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12/4/18 2:26</td>\n",
       "      <td>12/4/18 2:32</td>\n",
       "      <td>100</td>\n",
       "      <td>378</td>\n",
       "      <td>1</td>\n",
       "      <td>10.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>14</td>\n",
       "      <td>1.00</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>nan</td>\n",
       "      <td>Control</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      StartDate       EndDate  Progress  Duration  Finished  Estimation  \\\n",
       "0  12/4/18 2:24  12/4/18 2:27       100       205         1       12.00   \n",
       "1  12/4/18 2:24  12/4/18 2:29       100       267         1       15.00   \n",
       "2  12/4/18 2:24  12/4/18 2:31       100       441         1       10.00   \n",
       "3  12/4/18 2:25  12/4/18 2:31       100       347         1       10.00   \n",
       "4  12/4/18 2:26  12/4/18 2:32       100       378         1       10.00   \n",
       "\n",
       "   Gender   Age  Related Job   Q6   Q7   Q8  Q11  Q12  Q13  Q14  Q15  Q16  \\\n",
       "0    2.00 17.00         6.00 0.00 1.00 0.00 1.00 1.00 0.00 0.00 0.00 0.00   \n",
       "1    2.00 17.00         6.00 0.00 1.00 1.00 0.00 1.00 0.00 0.00 1.00 0.00   \n",
       "2    2.00 18.00         6.00 0.00 1.00 1.00 1.00 0.00 0.00 1.00 1.00 1.00   \n",
       "3    2.00 18.00         6.00 0.00 1.00 1.00 0.00 1.00 0.00 0.00 0.00 0.00   \n",
       "4    2.00 17.00         6.00 1.00 1.00 0.00 1.00 0.00 1.00 1.00 0.00 1.00   \n",
       "\n",
       "   Q17  Q18  Q19  Q20  Q21  Q22  Q23  Q24  Q25  Q26  Q27  Score  \\\n",
       "0 1.00 0.00 0.00 1.00 0.00 0.00 1.00 0.00 1.00 0.00 0.00     11   \n",
       "1 0.00 0.00 0.00 1.00 1.00 1.00 0.00 1.00 1.00 0.00 0.00     11   \n",
       "2 0.00 0.00 0.00 1.00 1.00 1.00 0.00  nan  nan  nan  nan     13   \n",
       "3 0.00 0.00 1.00 1.00 0.00 0.00 0.00 1.00 0.00 0.00 1.00     13   \n",
       "4 0.00 0.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.00 1.00     14   \n",
       "\n",
       "   Control Group  Doc AND Video Group  Video Group  Document Group    Group  \n",
       "0           1.00                  nan          nan             nan  Control  \n",
       "1           1.00                  nan          nan             nan  Control  \n",
       "2           1.00                  nan          nan             nan  Control  \n",
       "3           1.00                  nan          nan             nan  Control  \n",
       "4           1.00                  nan          nan             nan  Control  "
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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>Progress</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Finished</th>\n",
       "      <th>Estimation</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Related Job</th>\n",
       "      <th>Q6</th>\n",
       "      <th>Q7</th>\n",
       "      <th>Q8</th>\n",
       "      <th>Q11</th>\n",
       "      <th>Q12</th>\n",
       "      <th>Q13</th>\n",
       "      <th>Q14</th>\n",
       "      <th>Q15</th>\n",
       "      <th>Q16</th>\n",
       "      <th>Q17</th>\n",
       "      <th>Q18</th>\n",
       "      <th>Q19</th>\n",
       "      <th>Q20</th>\n",
       "      <th>Q21</th>\n",
       "      <th>Q22</th>\n",
       "      <th>Q23</th>\n",
       "      <th>Q24</th>\n",
       "      <th>Q25</th>\n",
       "      <th>Q26</th>\n",
       "      <th>Q27</th>\n",
       "      <th>Score</th>\n",
       "      <th>Control Group</th>\n",
       "      <th>Doc AND Video Group</th>\n",
       "      <th>Video Group</th>\n",
       "      <th>Document Group</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>598.00</td>\n",
       "      <td>598.00</td>\n",
       "      <td>598.00</td>\n",
       "      <td>494.00</td>\n",
       "      <td>525.00</td>\n",
       "      <td>504.00</td>\n",
       "      <td>513.00</td>\n",
       "      <td>570.00</td>\n",
       "      <td>561.00</td>\n",
       "      <td>560.00</td>\n",
       "      <td>562.00</td>\n",
       "      <td>563.00</td>\n",
       "      <td>560.00</td>\n",
       "      <td>560.00</td>\n",
       "      <td>559.00</td>\n",
       "      <td>559.00</td>\n",
       "      <td>559.00</td>\n",
       "      <td>559.00</td>\n",
       "      <td>559.00</td>\n",
       "      <td>556.00</td>\n",
       "      <td>558.00</td>\n",
       "      <td>558.00</td>\n",
       "      <td>557.00</td>\n",
       "      <td>554.00</td>\n",
       "      <td>557.00</td>\n",
       "      <td>558.00</td>\n",
       "      <td>559.00</td>\n",
       "      <td>598.00</td>\n",
       "      <td>154.00</td>\n",
       "      <td>139.00</td>\n",
       "      <td>153.00</td>\n",
       "      <td>152.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>100.00</td>\n",
       "      <td>1749.30</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.43</td>\n",
       "      <td>1.64</td>\n",
       "      <td>20.83</td>\n",
       "      <td>5.79</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.18</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.37</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.92</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.62</td>\n",
       "      <td>13.79</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.00</td>\n",
       "      <td>10331.60</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.61</td>\n",
       "      <td>0.48</td>\n",
       "      <td>11.78</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.41</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.46</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.48</td>\n",
       "      <td>4.49</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>100.00</td>\n",
       "      <td>14.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>217.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>14.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>298.50</td>\n",
       "      <td>1.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>100.00</td>\n",
       "      <td>480.25</td>\n",
       "      <td>1.00</td>\n",
       "      <td>15.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>21.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>17.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>100.00</td>\n",
       "      <td>99822.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>29.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>83.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Progress  Duration  Finished  Estimation  Gender    Age  Related Job  \\\n",
       "count    598.00    598.00    598.00      494.00  525.00 504.00       513.00   \n",
       "mean     100.00   1749.30      1.00       12.43    1.64  20.83         5.79   \n",
       "std        0.00  10331.60      0.00        4.61    0.48  11.78         0.56   \n",
       "min      100.00     14.00      1.00        0.00    1.00   2.00         4.00   \n",
       "25%      100.00    217.00      1.00       10.00    1.00  14.00         6.00   \n",
       "50%      100.00    298.50      1.00       12.00    2.00  17.00         6.00   \n",
       "75%      100.00    480.25      1.00       15.00    2.00  21.00         6.00   \n",
       "max      100.00  99822.00      1.00       29.00    2.00  83.00         6.00   \n",
       "\n",
       "          Q6     Q7     Q8    Q11    Q12    Q13    Q14    Q15    Q16    Q17  \\\n",
       "count 570.00 561.00 560.00 562.00 563.00 560.00 560.00 559.00 559.00 559.00   \n",
       "mean    0.32   0.79   0.48   0.78   0.21   0.18   0.81   0.24   0.79   0.19   \n",
       "std     0.47   0.41   0.50   0.42   0.41   0.39   0.40   0.43   0.41   0.39   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   1.00   0.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "50%     0.00   1.00   0.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "75%     1.00   1.00   1.00   1.00   0.00   0.00   1.00   0.00   1.00   0.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "         Q18    Q19    Q20    Q21    Q22    Q23    Q24    Q25    Q26    Q27  \\\n",
       "count 559.00 559.00 556.00 558.00 558.00 557.00 554.00 557.00 558.00 559.00   \n",
       "mean    0.31   0.74   0.88   0.70   0.37   0.26   0.46   0.92   0.20   0.62   \n",
       "std     0.46   0.44   0.33   0.46   0.48   0.44   0.50   0.28   0.40   0.48   \n",
       "min     0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   0.00   \n",
       "25%     0.00   0.00   1.00   0.00   0.00   0.00   0.00   1.00   0.00   0.00   \n",
       "50%     0.00   1.00   1.00   1.00   0.00   0.00   0.00   1.00   0.00   1.00   \n",
       "75%     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   0.00   1.00   \n",
       "max     1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   1.00   \n",
       "\n",
       "       Score  Control Group  Doc AND Video Group  Video Group  Document Group  \n",
       "count 598.00         154.00               139.00       153.00          152.00  \n",
       "mean   13.79           1.00                 1.00         1.00            1.00  \n",
       "std     4.49           0.00                 0.00         0.00            0.00  \n",
       "min     0.00           1.00                 1.00         1.00            1.00  \n",
       "25%    12.00           1.00                 1.00         1.00            1.00  \n",
       "50%    15.00           1.00                 1.00         1.00            1.00  \n",
       "75%    17.00           1.00                 1.00         1.00            1.00  \n",
       "max    20.00           1.00                 1.00         1.00            1.00  "
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfComplete = pd.concat([dfControl,dfDocument,dfVideo,dfVidDoc])\n",
    "dfComplete.head()\n",
    "dfComplete.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Gender"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                 Gender   R-squared:                       0.003\n",
      "Model:                            OLS   Adj. R-squared:                 -0.003\n",
      "Method:                 Least Squares   F-statistic:                    0.5402\n",
      "Date:                Mon, 29 Mar 2021   Prob (F-statistic):              0.655\n",
      "Time:                        21:59:02   Log-Likelihood:                -358.18\n",
      "No. Observations:                 525   AIC:                             724.4\n",
      "Df Residuals:                     521   BIC:                             741.4\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=============================================================================================\n",
      "                                coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------------------\n",
      "Intercept                     1.6107      0.042     38.364      0.000       1.528       1.693\n",
      "C(Group)[T.Doc AND Video]     0.0067      0.061      0.109      0.913      -0.114       0.127\n",
      "C(Group)[T.Document]          0.0513      0.058      0.881      0.379      -0.063       0.166\n",
      "C(Group)[T.Video]             0.0608      0.059      1.036      0.301      -0.055       0.176\n",
      "==============================================================================\n",
      "Omnibus:                     3128.686   Durbin-Watson:                   1.969\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               89.162\n",
      "Skew:                          -0.589   Prob(JB):                     4.35e-20\n",
      "Kurtosis:                       1.361   Cond. No.                         4.80\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "anovaGender = smf.ols(formula='Gender ~ C(Group)', data=dfComplete).fit()\n",
    "print(anovaGender.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                    Age   R-squared:                       0.002\n",
      "Model:                            OLS   Adj. R-squared:                 -0.004\n",
      "Method:                 Least Squares   F-statistic:                    0.3554\n",
      "Date:                Mon, 29 Mar 2021   Prob (F-statistic):              0.785\n",
      "Time:                        21:59:03   Log-Likelihood:                -1957.1\n",
      "No. Observations:                 504   AIC:                             3922.\n",
      "Df Residuals:                     500   BIC:                             3939.\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=============================================================================================\n",
      "                                coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------------------\n",
      "Intercept                    20.5635      1.051     19.561      0.000      18.498      22.629\n",
      "C(Group)[T.Doc AND Video]     1.1613      1.544      0.752      0.452      -1.871       4.194\n",
      "C(Group)[T.Document]         -0.3372      1.457     -0.232      0.817      -3.199       2.524\n",
      "C(Group)[T.Video]             0.3986      1.470      0.271      0.786      -2.489       3.286\n",
      "==============================================================================\n",
      "Omnibus:                      269.772   Durbin-Watson:                   1.776\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             1368.235\n",
      "Skew:                           2.441   Prob(JB):                    7.79e-298\n",
      "Kurtosis:                       9.428   Cond. No.                         4.80\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "anovaAge = smf.ols(formula='Age ~ C(Group)', data=dfComplete).fit()\n",
    "print(anovaAge.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Estimation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:             Estimation   R-squared:                       0.002\n",
      "Model:                            OLS   Adj. R-squared:                 -0.005\n",
      "Method:                 Least Squares   F-statistic:                    0.2505\n",
      "Date:                Mon, 29 Mar 2021   Prob (F-statistic):              0.861\n",
      "Time:                        21:59:04   Log-Likelihood:                -1454.6\n",
      "No. Observations:                 494   AIC:                             2917.\n",
      "Df Residuals:                     490   BIC:                             2934.\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=============================================================================================\n",
      "                                coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------------------\n",
      "Intercept                    12.5000      0.415     30.151      0.000      11.685      13.315\n",
      "C(Group)[T.Doc AND Video]  3.109e-15      0.611   5.09e-15      1.000      -1.200       1.200\n",
      "C(Group)[T.Document]          0.1061      0.577      0.184      0.854      -1.028       1.240\n",
      "C(Group)[T.Video]            -0.3561      0.577     -0.617      0.538      -1.490       0.778\n",
      "==============================================================================\n",
      "Omnibus:                        2.932   Durbin-Watson:                   1.920\n",
      "Prob(Omnibus):                  0.231   Jarque-Bera (JB):                2.958\n",
      "Skew:                          -0.187   Prob(JB):                        0.228\n",
      "Kurtosis:                       2.936   Cond. No.                         4.79\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "anovaEstimation = smf.ols(formula='Estimation ~ C(Group)', data=dfComplete).fit()\n",
    "print(anovaEstimation.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Duration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:               Duration   R-squared:                       0.005\n",
      "Model:                            OLS   Adj. R-squared:                 -0.000\n",
      "Method:                 Least Squares   F-statistic:                    0.9797\n",
      "Date:                Mon, 29 Mar 2021   Prob (F-statistic):              0.402\n",
      "Time:                        21:59:07   Log-Likelihood:                -6373.8\n",
      "No. Observations:                 598   AIC:                         1.276e+04\n",
      "Df Residuals:                     594   BIC:                         1.277e+04\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=============================================================================================\n",
      "                                coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------------------\n",
      "Intercept                  2685.6169    832.587      3.226      0.001    1050.445    4320.789\n",
      "C(Group)[T.Doc AND Video] -1248.5162   1208.804     -1.033      0.302   -3622.566    1125.534\n",
      "C(Group)[T.Document]       -607.0708   1181.322     -0.514      0.608   -2927.148    1713.006\n",
      "C(Group)[T.Video]         -1922.2051   1179.378     -1.630      0.104   -4238.463     394.053\n",
      "==============================================================================\n",
      "Omnibus:                      865.254   Durbin-Watson:                   2.027\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):           116740.283\n",
      "Skew:                           8.126   Prob(JB):                         0.00\n",
      "Kurtosis:                      69.491   Cond. No.                         4.73\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "anovaDuration = smf.ols(formula='Duration ~ C(Group)', data=dfComplete).fit()\n",
    "print(anovaDuration.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Final Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this section, we'll first show descriptive statistics again for each group. It's not necessary, but nice to have. Generally speaking, it's better to put the same information in multiple places than it is to dig for it or worse, have others dig for it.\n",
    "\n",
    "Then, we'll predict the average treatment effect (ATE) using simple ordinary least squares (OLS) linear regression models. We'll do both bivariate OLS regression (just the scores and the groups) along with a simple multivariate regression. (While none of the covariates were significant, I added this here for demonstration purposes.) As with above, we'll conduct hypothesis testing using ANOVA."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Descriptive Statistics of the Total Scores per Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count   154.00\n",
       "mean     13.64\n",
       "std       4.45\n",
       "min       0.00\n",
       "25%      12.00\n",
       "50%      14.50\n",
       "75%      17.00\n",
       "max      20.00\n",
       "Name: Score, dtype: float64"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfControl['Score'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count   152.00\n",
       "mean     14.12\n",
       "std       3.63\n",
       "min       0.00\n",
       "25%      13.00\n",
       "50%      14.50\n",
       "75%      16.25\n",
       "max      19.00\n",
       "Name: Score, dtype: float64"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfDocument['Score'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count   153.00\n",
       "mean     13.81\n",
       "std       5.28\n",
       "min       0.00\n",
       "25%      12.00\n",
       "50%      16.00\n",
       "75%      17.00\n",
       "max      20.00\n",
       "Name: Score, dtype: float64"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfVideo['Score'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count   139.00\n",
       "mean     13.59\n",
       "std       4.45\n",
       "min       0.00\n",
       "25%      12.00\n",
       "50%      15.00\n",
       "75%      17.00\n",
       "max      20.00\n",
       "Name: Score, dtype: float64"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfVidDoc['Score'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Regression and Hypothesis Testing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                  Score   R-squared:                       0.002\n",
      "Model:                            OLS   Adj. R-squared:                 -0.003\n",
      "Method:                 Least Squares   F-statistic:                    0.4344\n",
      "Date:                Mon, 29 Mar 2021   Prob (F-statistic):              0.728\n",
      "Time:                        22:01:58   Log-Likelihood:                -1745.0\n",
      "No. Observations:                 598   AIC:                             3498.\n",
      "Df Residuals:                     594   BIC:                             3516.\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=============================================================================================\n",
      "                                coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------------------\n",
      "Intercept                    13.6364      0.362     37.663      0.000      12.925      14.347\n",
      "C(Group)[T.Doc AND Video]    -0.0464      0.526     -0.088      0.930      -1.079       0.986\n",
      "C(Group)[T.Document]          0.4886      0.514      0.951      0.342      -0.520       1.498\n",
      "C(Group)[T.Video]             0.1741      0.513      0.339      0.734      -0.833       1.181\n",
      "==============================================================================\n",
      "Omnibus:                      170.120   Durbin-Watson:                   1.971\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              376.126\n",
      "Skew:                          -1.528   Prob(JB):                     2.11e-82\n",
      "Kurtosis:                       5.399   Cond. No.                         4.73\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "# Bivariate\n",
    "bvOLS = smf.ols(formula='Score ~ C(Group)', data=dfComplete).fit()\n",
    "print(bvOLS.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                  Score   R-squared:                       0.011\n",
      "Model:                            OLS   Adj. R-squared:                  0.004\n",
      "Method:                 Least Squares   F-statistic:                     1.491\n",
      "Date:                Mon, 29 Mar 2021   Prob (F-statistic):              0.204\n",
      "Time:                        22:09:02   Log-Likelihood:                -1422.8\n",
      "No. Observations:                 525   AIC:                             2856.\n",
      "Df Residuals:                     520   BIC:                             2877.\n",
      "Df Model:                           4                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=============================================================================================\n",
      "                                coef    std err          t      P>|t|      [0.025      0.975]\n",
      "---------------------------------------------------------------------------------------------\n",
      "Intercept                    13.6432      0.379     36.033      0.000      12.899      14.387\n",
      "C(Group)[T.Doc AND Video]     0.3903      0.467      0.836      0.404      -0.527       1.308\n",
      "C(Group)[T.Document]          0.5297      0.443      1.196      0.232      -0.341       1.400\n",
      "C(Group)[T.Video]             0.6108      0.447      1.366      0.172      -0.267       1.489\n",
      "C(Gender)[T.2.0]              0.6218      0.333      1.866      0.063      -0.033       1.276\n",
      "==============================================================================\n",
      "Omnibus:                      165.225   Durbin-Watson:                   1.989\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              486.535\n",
      "Skew:                          -1.512   Prob(JB):                    2.24e-106\n",
      "Kurtosis:                       6.619   Cond. No.                         5.71\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "# Multivariate\n",
    "mvOLS = smf.ols(formula='Score ~ C(Group)+C(Gender)', data=dfComplete).fit()\n",
    "print(mvOLS.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Save to .csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfAttrition.to_csv('dfAttrition.csv', index=False, date_format=\"%Y-%m-%d\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfComplete.to_csv('dfComplete.csv', index=False, date_format=\"%Y-%m-%d\") "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  },
  "latex_envs": {
   "LaTeX_envs_menu_present": true,
   "autoclose": false,
   "autocomplete": true,
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 1,
   "hotkeys": {
    "equation": "Ctrl-E",
    "itemize": "Ctrl-I"
   },
   "labels_anchors": false,
   "latex_user_defs": false,
   "report_style_numbering": false,
   "user_envs_cfg": false
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}