Descriptive_Statistics.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **Descriptive Statistics of Participants and Survey Responses**\n",
    "Lindsay Warrenburg & Lauren Fink  \n",
    "lindsay.a.warrenburg@gmail.com  lauren.fink@ae.mpg.de  \n",
    "Final version: December 20, 2020\n",
    "\n",
    "### This script describes basic summary statistics of participants and the major sections of the survey\n",
    "\n",
    "- No statistical tests are conducted\n",
    "- Descriptives primarily consist of means, standard deviations, and percent changes\n",
    "- Country-level differences are reported for the major questionnaire sections: (1) Activities during lockdown, (2) Coping-related behaviors, (3) Functions of music listening/music making, (4) Situations of music listening/music making, (5) Music listening formats, (6) Kinds of music engagement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np, pandas as pd, os, sys, itertools, re, warnings\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "warnings.filterwarnings(action='ignore')\n",
    "%run Coronavirus_Music_Functions.ipynb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5113, 234)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('cleaned_data.csv')\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Participant Information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "demographics = [col for col in data.columns if 'Demographics_' in col]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Country Counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5113\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "    }\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>Country_Country Name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>India</th>\n",
       "      <td>891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UK</th>\n",
       "      <td>621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>USA</th>\n",
       "      <td>854</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Country_Country Name\n",
       "France                    983\n",
       "Germany                   872\n",
       "India                     891\n",
       "Italy                     892\n",
       "UK                        621\n",
       "USA                       854"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(data['Country_Country Name'].value_counts(dropna=False)).sort_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Basic Info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Country_Country Name</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Demographics_COVID_Number Times Leave_mean</th>\n",
       "      <td>3.21</td>\n",
       "      <td>6.74</td>\n",
       "      <td>3.18</td>\n",
       "      <td>2.91</td>\n",
       "      <td>3.23</td>\n",
       "      <td>3.23</td>\n",
       "      <td>3.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Demographics_General_Age_mean</th>\n",
       "      <td>49.51</td>\n",
       "      <td>45.86</td>\n",
       "      <td>37.25</td>\n",
       "      <td>51.18</td>\n",
       "      <td>32.13</td>\n",
       "      <td>45.25</td>\n",
       "      <td>44.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Demographics_General_Education Years_mean</th>\n",
       "      <td>17.64</td>\n",
       "      <td>15.24</td>\n",
       "      <td>12.37</td>\n",
       "      <td>12.63</td>\n",
       "      <td>16.48</td>\n",
       "      <td>16.57</td>\n",
       "      <td>15.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Demographics_Music_Ollen_mean</th>\n",
       "      <td>1.91</td>\n",
       "      <td>2.03</td>\n",
       "      <td>2.90</td>\n",
       "      <td>2.08</td>\n",
       "      <td>2.03</td>\n",
       "      <td>2.11</td>\n",
       "      <td>2.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Demographics_COVID_Number Times Leave_sd</th>\n",
       "      <td>3.56</td>\n",
       "      <td>5.71</td>\n",
       "      <td>4.81</td>\n",
       "      <td>3.71</td>\n",
       "      <td>3.22</td>\n",
       "      <td>3.68</td>\n",
       "      <td>4.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Demographics_General_Age_sd</th>\n",
       "      <td>17.25</td>\n",
       "      <td>12.97</td>\n",
       "      <td>13.67</td>\n",
       "      <td>17.06</td>\n",
       "      <td>11.47</td>\n",
       "      <td>14.51</td>\n",
       "      <td>16.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Demographics_General_Education Years_sd</th>\n",
       "      <td>5.22</td>\n",
       "      <td>5.94</td>\n",
       "      <td>6.84</td>\n",
       "      <td>5.30</td>\n",
       "      <td>3.63</td>\n",
       "      <td>5.50</td>\n",
       "      <td>5.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Demographics_Music_Ollen_sd</th>\n",
       "      <td>0.78</td>\n",
       "      <td>0.81</td>\n",
       "      <td>1.64</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1.18</td>\n",
       "      <td>1.11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country_Country Name                        France  Germany  India  Italy  \\\n",
       "Demographics_COVID_Number Times Leave_mean    3.21     6.74   3.18   2.91   \n",
       "Demographics_General_Age_mean                49.51    45.86  37.25  51.18   \n",
       "Demographics_General_Education Years_mean    17.64    15.24  12.37  12.63   \n",
       "Demographics_Music_Ollen_mean                 1.91     2.03   2.90   2.08   \n",
       "Demographics_COVID_Number Times Leave_sd      3.56     5.71   4.81   3.71   \n",
       "Demographics_General_Age_sd                  17.25    12.97  13.67  17.06   \n",
       "Demographics_General_Education Years_sd       5.22     5.94   6.84   5.30   \n",
       "Demographics_Music_Ollen_sd                   0.78     0.81   1.64   0.76   \n",
       "\n",
       "Country_Country Name                           UK    USA  TOTAL  \n",
       "Demographics_COVID_Number Times Leave_mean   3.23   3.23   3.76  \n",
       "Demographics_General_Age_mean               32.13  45.25  44.22  \n",
       "Demographics_General_Education Years_mean   16.48  16.57  15.12  \n",
       "Demographics_Music_Ollen_mean                2.03   2.11   2.17  \n",
       "Demographics_COVID_Number Times Leave_sd     3.22   3.68   4.44  \n",
       "Demographics_General_Age_sd                 11.47  14.51  16.15  \n",
       "Demographics_General_Education Years_sd      3.63   5.50   5.93  \n",
       "Demographics_Music_Ollen_sd                  0.99   1.18   1.11  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# number of times leave the house per week, age, education, musicianship\n",
    "group_col = 'Country_Country Name'\n",
    "col_list = ['Demographics_COVID_Number Times Leave','Demographics_General_Age', \n",
    "            'Demographics_General_Education Years', 'Demographics_Music_Ollen']\n",
    "\n",
    "tmp = group_numeric(data, col_list, group_col, 0)\n",
    "\n",
    "tmp.transpose().round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>Country_Country Name</th>\n",
       "      <th colspan=\"4\" halign=\"left\">France</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Germany</th>\n",
       "      <th colspan=\"3\" halign=\"left\">India</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Italy</th>\n",
       "      <th colspan=\"4\" halign=\"left\">UK</th>\n",
       "      <th colspan=\"3\" halign=\"left\">USA</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Demographics_General_Gender</th>\n",
       "      <th>1.0</th>\n",
       "      <th>2.0</th>\n",
       "      <th>4.0</th>\n",
       "      <th>NaN</th>\n",
       "      <th>1.0</th>\n",
       "      <th>2.0</th>\n",
       "      <th>3.0</th>\n",
       "      <th>4.0</th>\n",
       "      <th>1.0</th>\n",
       "      <th>2.0</th>\n",
       "      <th>4.0</th>\n",
       "      <th>1.0</th>\n",
       "      <th>2.0</th>\n",
       "      <th>NaN</th>\n",
       "      <th>1.0</th>\n",
       "      <th>2.0</th>\n",
       "      <th>3.0</th>\n",
       "      <th>4.0</th>\n",
       "      <th>1.0</th>\n",
       "      <th>2.0</th>\n",
       "      <th>4.0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Demographics_General_Gender</th>\n",
       "      <td>0.52</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.52</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.47</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.71</td>\n",
       "      <td>0.28</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.57</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country_Country Name        France                 Germany                  \\\n",
       "Demographics_General_Gender    1.0   2.0  4.0  NaN     1.0   2.0  3.0  4.0   \n",
       "Demographics_General_Gender   0.52  0.48  0.0  0.0    0.52  0.48  0.0  0.0   \n",
       "\n",
       "Country_Country Name        India             Italy               UK        \\\n",
       "Demographics_General_Gender   1.0   2.0   4.0   1.0   2.0  NaN   1.0   2.0   \n",
       "Demographics_General_Gender  0.44  0.56  0.01  0.53  0.47  0.0  0.71  0.28   \n",
       "\n",
       "Country_Country Name                     USA             \n",
       "Demographics_General_Gender  3.0   4.0   1.0   2.0  4.0  \n",
       "Demographics_General_Gender  0.0  0.01  0.57  0.43  0.0  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# gender \n",
    "pd.DataFrame(data.groupby(['Country_Country Name'])['Demographics_General_Gender'].value_counts(dropna=False, normalize=True)).sort_index().round(2).T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Infected with the COVID-19 Virus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>group</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cols</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Demographics_Health_COVID Contact Binary</th>\n",
       "      <td>26.45</td>\n",
       "      <td>10.09</td>\n",
       "      <td>28.62</td>\n",
       "      <td>16.03</td>\n",
       "      <td>23.35</td>\n",
       "      <td>33.14</td>\n",
       "      <td>22.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I Am Infected</th>\n",
       "      <td>2.75</td>\n",
       "      <td>1.83</td>\n",
       "      <td>8.42</td>\n",
       "      <td>1.12</td>\n",
       "      <td>4.51</td>\n",
       "      <td>4.80</td>\n",
       "      <td>3.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I Am Mourning A Loss</th>\n",
       "      <td>2.64</td>\n",
       "      <td>0.57</td>\n",
       "      <td>6.17</td>\n",
       "      <td>3.92</td>\n",
       "      <td>2.58</td>\n",
       "      <td>6.32</td>\n",
       "      <td>3.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I Have Professional Contact</th>\n",
       "      <td>6.51</td>\n",
       "      <td>3.44</td>\n",
       "      <td>10.89</td>\n",
       "      <td>2.24</td>\n",
       "      <td>3.86</td>\n",
       "      <td>6.09</td>\n",
       "      <td>5.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>I Live With Someone</th>\n",
       "      <td>2.34</td>\n",
       "      <td>1.38</td>\n",
       "      <td>10.21</td>\n",
       "      <td>0.56</td>\n",
       "      <td>2.09</td>\n",
       "      <td>4.45</td>\n",
       "      <td>3.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Response</th>\n",
       "      <td>4.27</td>\n",
       "      <td>1.72</td>\n",
       "      <td>68.91</td>\n",
       "      <td>2.02</td>\n",
       "      <td>75.52</td>\n",
       "      <td>64.52</td>\n",
       "      <td>33.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>None</th>\n",
       "      <td>61.75</td>\n",
       "      <td>87.04</td>\n",
       "      <td>0.00</td>\n",
       "      <td>77.80</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>40.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Prefer Not To Say</th>\n",
       "      <td>8.14</td>\n",
       "      <td>1.72</td>\n",
       "      <td>2.47</td>\n",
       "      <td>4.93</td>\n",
       "      <td>1.13</td>\n",
       "      <td>2.34</td>\n",
       "      <td>3.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Someone I Am Close To</th>\n",
       "      <td>16.79</td>\n",
       "      <td>4.47</td>\n",
       "      <td>10.44</td>\n",
       "      <td>11.10</td>\n",
       "      <td>14.65</td>\n",
       "      <td>22.37</td>\n",
       "      <td>13.26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "group                                     France  Germany  India  Italy  \\\n",
       "cols                                                                      \n",
       "Demographics_Health_COVID Contact Binary   26.45    10.09  28.62  16.03   \n",
       "I Am Infected                               2.75     1.83   8.42   1.12   \n",
       "I Am Mourning A Loss                        2.64     0.57   6.17   3.92   \n",
       "I Have Professional Contact                 6.51     3.44  10.89   2.24   \n",
       "I Live With Someone                         2.34     1.38  10.21   0.56   \n",
       "No Response                                 4.27     1.72  68.91   2.02   \n",
       "None                                       61.75    87.04   0.00  77.80   \n",
       "Prefer Not To Say                           8.14     1.72   2.47   4.93   \n",
       "Someone I Am Close To                      16.79     4.47  10.44  11.10   \n",
       "\n",
       "group                                        UK    USA  TOTAL  \n",
       "cols                                                           \n",
       "Demographics_Health_COVID Contact Binary  23.35  33.14  22.96  \n",
       "I Am Infected                              4.51   4.80   3.85  \n",
       "I Am Mourning A Loss                       2.58   6.32   3.74  \n",
       "I Have Professional Contact                3.86   6.09   5.61  \n",
       "I Live With Someone                        2.09   4.45   3.56  \n",
       "No Response                               75.52  64.52  33.42  \n",
       "None                                       0.00   0.00  40.29  \n",
       "Prefer Not To Say                          1.13   2.34   3.68  \n",
       "Someone I Am Close To                     14.65  22.37  13.26  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col_list = ['Demographics_Health_COVID Contact Binary']+[c for c in data.columns if 'Infected with COVID' in c]\n",
    "group_col = 'Country_Country Name'\n",
    "\n",
    "tmp = temp_df(group_col, col_list, data)\n",
    "grouped_n, grouped_perc = make_grouped_df(group_col, data, tmp)\n",
    "grouped_perc.transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Living Situation During COVID-19"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>group</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cols</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Alone</th>\n",
       "      <td>20.55</td>\n",
       "      <td>25.23</td>\n",
       "      <td>7.30</td>\n",
       "      <td>10.54</td>\n",
       "      <td>9.98</td>\n",
       "      <td>17.10</td>\n",
       "      <td>15.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Child</th>\n",
       "      <td>30.62</td>\n",
       "      <td>26.83</td>\n",
       "      <td>44.11</td>\n",
       "      <td>23.88</td>\n",
       "      <td>28.02</td>\n",
       "      <td>33.96</td>\n",
       "      <td>31.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elderly</th>\n",
       "      <td>1.12</td>\n",
       "      <td>0.34</td>\n",
       "      <td>2.58</td>\n",
       "      <td>1.68</td>\n",
       "      <td>2.25</td>\n",
       "      <td>2.34</td>\n",
       "      <td>1.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Friend</th>\n",
       "      <td>0.20</td>\n",
       "      <td>1.03</td>\n",
       "      <td>2.36</td>\n",
       "      <td>0.56</td>\n",
       "      <td>5.15</td>\n",
       "      <td>2.22</td>\n",
       "      <td>1.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>0.92</td>\n",
       "      <td>0.57</td>\n",
       "      <td>1.23</td>\n",
       "      <td>6.73</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.94</td>\n",
       "      <td>1.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parent</th>\n",
       "      <td>7.93</td>\n",
       "      <td>9.75</td>\n",
       "      <td>43.77</td>\n",
       "      <td>16.03</td>\n",
       "      <td>26.57</td>\n",
       "      <td>15.34</td>\n",
       "      <td>19.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Partner</th>\n",
       "      <td>62.26</td>\n",
       "      <td>56.19</td>\n",
       "      <td>55.78</td>\n",
       "      <td>63.68</td>\n",
       "      <td>49.28</td>\n",
       "      <td>56.56</td>\n",
       "      <td>57.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pet</th>\n",
       "      <td>25.33</td>\n",
       "      <td>20.76</td>\n",
       "      <td>7.97</td>\n",
       "      <td>19.62</td>\n",
       "      <td>19.97</td>\n",
       "      <td>30.44</td>\n",
       "      <td>20.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shared</th>\n",
       "      <td>0.41</td>\n",
       "      <td>1.83</td>\n",
       "      <td>2.13</td>\n",
       "      <td>1.12</td>\n",
       "      <td>5.80</td>\n",
       "      <td>2.22</td>\n",
       "      <td>2.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SibCous</th>\n",
       "      <td>0.20</td>\n",
       "      <td>2.52</td>\n",
       "      <td>5.27</td>\n",
       "      <td>0.11</td>\n",
       "      <td>12.08</td>\n",
       "      <td>8.31</td>\n",
       "      <td>4.26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "group    France  Germany  India  Italy     UK    USA  TOTAL\n",
       "cols                                                       \n",
       "Alone     20.55    25.23   7.30  10.54   9.98  17.10  15.43\n",
       "Child     30.62    26.83  44.11  23.88  28.02  33.96  31.39\n",
       "Elderly    1.12     0.34   2.58   1.68   2.25   2.34   1.68\n",
       "Friend     0.20     1.03   2.36   0.56   5.15   2.22   1.72\n",
       "Other      0.92     0.57   1.23   6.73   0.48   0.94   1.88\n",
       "Parent     7.93     9.75  43.77  16.03  26.57  15.34  19.40\n",
       "Partner   62.26    56.19  55.78  63.68  49.28  56.56  57.81\n",
       "Pet       25.33    20.76   7.97  19.62  19.97  30.44  20.73\n",
       "Shared     0.41     1.83   2.13   1.12   5.80   2.22   2.03\n",
       "SibCous    0.20     2.52   5.27   0.11  12.08   8.31   4.26"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col_list = [c for c in data.columns if c.startswith('Demographics_COVID_Living Situation')]\n",
    "group_col = 'Country_Country Name'\n",
    "\n",
    "tmp = temp_df(group_col, col_list, data) \n",
    "grouped_n, grouped_perc = make_grouped_df(group_col, data, tmp)\n",
    "grouped_perc.transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ways Work is Affected Due to COVID-19"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        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>group</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cols</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Demographics_COVID_Work Changed Binary</th>\n",
       "      <td>39.37</td>\n",
       "      <td>41.40</td>\n",
       "      <td>73.51</td>\n",
       "      <td>39.57</td>\n",
       "      <td>58.78</td>\n",
       "      <td>59.25</td>\n",
       "      <td>51.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Homeschool Children</th>\n",
       "      <td>11.70</td>\n",
       "      <td>7.34</td>\n",
       "      <td>7.41</td>\n",
       "      <td>17.94</td>\n",
       "      <td>14.01</td>\n",
       "      <td>6.44</td>\n",
       "      <td>10.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Job At Risk</th>\n",
       "      <td>1.32</td>\n",
       "      <td>5.85</td>\n",
       "      <td>16.16</td>\n",
       "      <td>5.72</td>\n",
       "      <td>5.48</td>\n",
       "      <td>5.85</td>\n",
       "      <td>6.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lost Job</th>\n",
       "      <td>2.75</td>\n",
       "      <td>4.59</td>\n",
       "      <td>16.50</td>\n",
       "      <td>8.18</td>\n",
       "      <td>9.34</td>\n",
       "      <td>11.12</td>\n",
       "      <td>8.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lower Income</th>\n",
       "      <td>11.39</td>\n",
       "      <td>15.94</td>\n",
       "      <td>30.30</td>\n",
       "      <td>16.48</td>\n",
       "      <td>19.32</td>\n",
       "      <td>15.93</td>\n",
       "      <td>18.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Now Work From Home</th>\n",
       "      <td>18.41</td>\n",
       "      <td>16.28</td>\n",
       "      <td>39.28</td>\n",
       "      <td>9.42</td>\n",
       "      <td>30.76</td>\n",
       "      <td>30.80</td>\n",
       "      <td>23.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reduced Hours</th>\n",
       "      <td>11.70</td>\n",
       "      <td>11.01</td>\n",
       "      <td>23.79</td>\n",
       "      <td>10.87</td>\n",
       "      <td>10.47</td>\n",
       "      <td>16.51</td>\n",
       "      <td>14.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Still Go To Work</th>\n",
       "      <td>32.96</td>\n",
       "      <td>42.32</td>\n",
       "      <td>13.58</td>\n",
       "      <td>23.77</td>\n",
       "      <td>17.87</td>\n",
       "      <td>21.31</td>\n",
       "      <td>25.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Still Work From Home</th>\n",
       "      <td>22.18</td>\n",
       "      <td>17.43</td>\n",
       "      <td>25.59</td>\n",
       "      <td>24.22</td>\n",
       "      <td>19.32</td>\n",
       "      <td>21.78</td>\n",
       "      <td>21.90</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "group                                   France  Germany  India  Italy     UK  \\\n",
       "cols                                                                           \n",
       "Demographics_COVID_Work Changed Binary   39.37    41.40  73.51  39.57  58.78   \n",
       "Homeschool Children                      11.70     7.34   7.41  17.94  14.01   \n",
       "Job At Risk                               1.32     5.85  16.16   5.72   5.48   \n",
       "Lost Job                                  2.75     4.59  16.50   8.18   9.34   \n",
       "Lower Income                             11.39    15.94  30.30  16.48  19.32   \n",
       "Now Work From Home                       18.41    16.28  39.28   9.42  30.76   \n",
       "Reduced Hours                            11.70    11.01  23.79  10.87  10.47   \n",
       "Still Go To Work                         32.96    42.32  13.58  23.77  17.87   \n",
       "Still Work From Home                     22.18    17.43  25.59  24.22  19.32   \n",
       "\n",
       "group                                     USA  TOTAL  \n",
       "cols                                                  \n",
       "Demographics_COVID_Work Changed Binary  59.25  51.38  \n",
       "Homeschool Children                      6.44  10.70  \n",
       "Job At Risk                              5.85   6.71  \n",
       "Lost Job                                11.12   8.61  \n",
       "Lower Income                            15.93  18.07  \n",
       "Now Work From Home                      30.80  23.68  \n",
       "Reduced Hours                           16.51  14.20  \n",
       "Still Go To Work                        21.31  25.80  \n",
       "Still Work From Home                    21.78  21.90  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col_list = ['Demographics_COVID_Work Changed Binary']+[c for c in data.columns if c.startswith('Demographics_COVID_Ways Work Affected')]\n",
    "group_col = 'Country_Country Name'\n",
    "\n",
    "tmp = temp_df(group_col, col_list, data)\n",
    "grouped_n, grouped_perc = make_grouped_df(group_col, data, tmp)\n",
    "grouped_perc.transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Change in Emotions due to COVID-19"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>Country_Country Name</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Anxious_change</th>\n",
       "      <td>2.08</td>\n",
       "      <td>8.71</td>\n",
       "      <td>20.21</td>\n",
       "      <td>15.41</td>\n",
       "      <td>30.32</td>\n",
       "      <td>26.63</td>\n",
       "      <td>16.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Anxious_mean</th>\n",
       "      <td>4.06</td>\n",
       "      <td>4.26</td>\n",
       "      <td>4.61</td>\n",
       "      <td>4.46</td>\n",
       "      <td>4.91</td>\n",
       "      <td>4.80</td>\n",
       "      <td>4.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Anxious_sd</th>\n",
       "      <td>1.58</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.70</td>\n",
       "      <td>1.42</td>\n",
       "      <td>1.36</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arousal_change</th>\n",
       "      <td>-17.19</td>\n",
       "      <td>-9.04</td>\n",
       "      <td>21.51</td>\n",
       "      <td>-20.90</td>\n",
       "      <td>-27.10</td>\n",
       "      <td>-10.17</td>\n",
       "      <td>-10.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arousal_mean</th>\n",
       "      <td>3.48</td>\n",
       "      <td>3.73</td>\n",
       "      <td>4.65</td>\n",
       "      <td>3.37</td>\n",
       "      <td>3.19</td>\n",
       "      <td>3.69</td>\n",
       "      <td>3.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arousal_sd</th>\n",
       "      <td>1.41</td>\n",
       "      <td>1.09</td>\n",
       "      <td>1.63</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.22</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bored_change</th>\n",
       "      <td>2.21</td>\n",
       "      <td>10.37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.93</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bored_mean</th>\n",
       "      <td>4.07</td>\n",
       "      <td>4.31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.54</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bored_sd</th>\n",
       "      <td>1.73</td>\n",
       "      <td>1.37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.58</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Depressed_change</th>\n",
       "      <td>-17.80</td>\n",
       "      <td>10.85</td>\n",
       "      <td>9.93</td>\n",
       "      <td>-2.75</td>\n",
       "      <td>19.02</td>\n",
       "      <td>15.44</td>\n",
       "      <td>4.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Depressed_mean</th>\n",
       "      <td>3.47</td>\n",
       "      <td>4.33</td>\n",
       "      <td>4.30</td>\n",
       "      <td>3.92</td>\n",
       "      <td>4.57</td>\n",
       "      <td>4.46</td>\n",
       "      <td>4.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Depressed_sd</th>\n",
       "      <td>1.59</td>\n",
       "      <td>1.14</td>\n",
       "      <td>1.89</td>\n",
       "      <td>1.56</td>\n",
       "      <td>1.38</td>\n",
       "      <td>1.38</td>\n",
       "      <td>1.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>General</th>\n",
       "      <td>-6.66</td>\n",
       "      <td>-9.96</td>\n",
       "      <td>26.96</td>\n",
       "      <td>-10.45</td>\n",
       "      <td>-7.41</td>\n",
       "      <td>0.40</td>\n",
       "      <td>-1.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>General</th>\n",
       "      <td>3.80</td>\n",
       "      <td>3.70</td>\n",
       "      <td>4.81</td>\n",
       "      <td>3.69</td>\n",
       "      <td>3.78</td>\n",
       "      <td>4.01</td>\n",
       "      <td>3.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>General</th>\n",
       "      <td>0.90</td>\n",
       "      <td>0.95</td>\n",
       "      <td>1.63</td>\n",
       "      <td>0.95</td>\n",
       "      <td>1.08</td>\n",
       "      <td>1.10</td>\n",
       "      <td>1.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lonely_change</th>\n",
       "      <td>-0.32</td>\n",
       "      <td>13.36</td>\n",
       "      <td>15.41</td>\n",
       "      <td>10.72</td>\n",
       "      <td>19.99</td>\n",
       "      <td>13.43</td>\n",
       "      <td>11.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lonely_mean</th>\n",
       "      <td>3.99</td>\n",
       "      <td>4.40</td>\n",
       "      <td>4.46</td>\n",
       "      <td>4.32</td>\n",
       "      <td>4.60</td>\n",
       "      <td>4.40</td>\n",
       "      <td>4.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lonely_sd</th>\n",
       "      <td>1.62</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.88</td>\n",
       "      <td>1.55</td>\n",
       "      <td>1.48</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Negative Valence_change</th>\n",
       "      <td>10.49</td>\n",
       "      <td>17.67</td>\n",
       "      <td>11.98</td>\n",
       "      <td>21.24</td>\n",
       "      <td>30.92</td>\n",
       "      <td>19.94</td>\n",
       "      <td>18.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Negative Valence_mean</th>\n",
       "      <td>4.31</td>\n",
       "      <td>4.53</td>\n",
       "      <td>4.36</td>\n",
       "      <td>4.64</td>\n",
       "      <td>4.93</td>\n",
       "      <td>4.60</td>\n",
       "      <td>4.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Negative Valence_sd</th>\n",
       "      <td>1.42</td>\n",
       "      <td>1.02</td>\n",
       "      <td>1.75</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Positive Valence_change</th>\n",
       "      <td>-20.51</td>\n",
       "      <td>-16.51</td>\n",
       "      <td>21.47</td>\n",
       "      <td>-19.95</td>\n",
       "      <td>-24.71</td>\n",
       "      <td>-11.26</td>\n",
       "      <td>-11.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Positive Valence_mean</th>\n",
       "      <td>3.38</td>\n",
       "      <td>3.50</td>\n",
       "      <td>4.64</td>\n",
       "      <td>3.40</td>\n",
       "      <td>3.26</td>\n",
       "      <td>3.66</td>\n",
       "      <td>3.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Positive Valence_sd</th>\n",
       "      <td>1.38</td>\n",
       "      <td>1.07</td>\n",
       "      <td>1.80</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.38</td>\n",
       "      <td>1.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stressed_change</th>\n",
       "      <td>-1.61</td>\n",
       "      <td>2.74</td>\n",
       "      <td>18.30</td>\n",
       "      <td>18.08</td>\n",
       "      <td>27.05</td>\n",
       "      <td>27.83</td>\n",
       "      <td>14.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stressed_mean</th>\n",
       "      <td>3.95</td>\n",
       "      <td>4.08</td>\n",
       "      <td>4.55</td>\n",
       "      <td>4.54</td>\n",
       "      <td>4.81</td>\n",
       "      <td>4.83</td>\n",
       "      <td>4.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stressed_sd</th>\n",
       "      <td>1.64</td>\n",
       "      <td>1.33</td>\n",
       "      <td>1.80</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.33</td>\n",
       "      <td>1.54</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country_Country Name     France  Germany  India  Italy     UK    USA  TOTAL\n",
       "Anxious_change             2.08     8.71  20.21  15.41  30.32  26.63  16.26\n",
       "Anxious_mean               4.06     4.26   4.61   4.46   4.91   4.80   4.49\n",
       "Anxious_sd                 1.58     1.19   1.70   1.42   1.36   1.32   1.47\n",
       "Arousal_change           -17.19    -9.04  21.51 -20.90 -27.10 -10.17 -10.08\n",
       "Arousal_mean               3.48     3.73   4.65   3.37   3.19   3.69   3.70\n",
       "Arousal_sd                 1.41     1.09   1.63   1.26   1.22   1.31   1.41\n",
       "Bored_change               2.21    10.37    NaN  17.93    NaN    NaN   9.98\n",
       "Bored_mean                 4.07     4.31    NaN   4.54    NaN    NaN   4.30\n",
       "Bored_sd                   1.73     1.37    NaN   1.58    NaN    NaN   1.58\n",
       "Depressed_change         -17.80    10.85   9.93  -2.75  19.02  15.44   4.64\n",
       "Depressed_mean             3.47     4.33   4.30   3.92   4.57   4.46   4.14\n",
       "Depressed_sd               1.59     1.14   1.89   1.56   1.38   1.38   1.56\n",
       "General                   -6.66    -9.96  26.96 -10.45  -7.41   0.40  -1.19\n",
       "General                    3.80     3.70   4.81   3.69   3.78   4.01   3.96\n",
       "General                    0.90     0.95   1.63   0.95   1.08   1.10   1.19\n",
       "Lonely_change             -0.32    13.36  15.41  10.72  19.99  13.43  11.46\n",
       "Lonely_mean                3.99     4.40   4.46   4.32   4.60   4.40   4.34\n",
       "Lonely_sd                  1.62     1.25   1.88   1.55   1.48   1.44   1.56\n",
       "Negative Valence_change   10.49    17.67  11.98  21.24  30.92  19.94  18.02\n",
       "Negative Valence_mean      4.31     4.53   4.36   4.64   4.93   4.60   4.54\n",
       "Negative Valence_sd        1.42     1.02   1.75   1.27   1.15   1.29   1.36\n",
       "Positive Valence_change  -20.51   -16.51  21.47 -19.95 -24.71 -11.26 -11.67\n",
       "Positive Valence_mean      3.38     3.50   4.64   3.40   3.26   3.66   3.65\n",
       "Positive Valence_sd        1.38     1.07   1.80   1.21   1.25   1.38   1.44\n",
       "Stressed_change           -1.61     2.74  18.30  18.08  27.05  27.83  14.48\n",
       "Stressed_mean              3.95     4.08   4.55   4.54   4.81   4.83   4.43\n",
       "Stressed_sd                1.64     1.33   1.80   1.43   1.41   1.33   1.54"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col_list = ['Demographics_Health_General Health', 'Demographics_Health_Arousal',\n",
    "            'Demographics_Health_Negative Valence','Demographics_Health_Positive Valence',\n",
    "            'Demographics_Health_Anxious','Demographics_Health_Bored',\n",
    "            'Demographics_Health_Depressed','Demographics_Health_Lonely',\n",
    "            'Demographics_Health_Stressed']\n",
    "\n",
    "group_col = 'Country_Country Name'\n",
    "new = group_numeric(data, col_list, group_col, 1)\n",
    "\n",
    "new.columns = new.columns.str.split('Health_').str[1]\n",
    "new.T.round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Comparing Changes in Emotions with Employment Status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>General Health</th>\n",
       "      <th>Arousal</th>\n",
       "      <th>Negative Valence</th>\n",
       "      <th>Positive Valence</th>\n",
       "      <th>Anxious</th>\n",
       "      <th>Bored</th>\n",
       "      <th>Depressed</th>\n",
       "      <th>Lonely</th>\n",
       "      <th>Stressed</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Homeschool Children</th>\n",
       "      <td>-0.134337</td>\n",
       "      <td>-0.183751</td>\n",
       "      <td>0.0441929</td>\n",
       "      <td>-0.218432</td>\n",
       "      <td>0.0905374</td>\n",
       "      <td>-0.0340734</td>\n",
       "      <td>-0.0611161</td>\n",
       "      <td>-0.192632</td>\n",
       "      <td>0.017701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Job At Risk</th>\n",
       "      <td>0.162568</td>\n",
       "      <td>0.0693702</td>\n",
       "      <td>0.458982</td>\n",
       "      <td>0.145759</td>\n",
       "      <td>0.561566</td>\n",
       "      <td>0.241675</td>\n",
       "      <td>0.588852</td>\n",
       "      <td>0.557144</td>\n",
       "      <td>0.559406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lost Job</th>\n",
       "      <td>0.17711</td>\n",
       "      <td>0.147189</td>\n",
       "      <td>0.353928</td>\n",
       "      <td>0.196187</td>\n",
       "      <td>0.460997</td>\n",
       "      <td>0.417742</td>\n",
       "      <td>0.517345</td>\n",
       "      <td>0.329387</td>\n",
       "      <td>0.483363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lower Income</th>\n",
       "      <td>0.0860386</td>\n",
       "      <td>-0.00213847</td>\n",
       "      <td>0.256062</td>\n",
       "      <td>0.0595841</td>\n",
       "      <td>0.359494</td>\n",
       "      <td>0.112081</td>\n",
       "      <td>0.45823</td>\n",
       "      <td>0.375862</td>\n",
       "      <td>0.346011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Now Work From Home</th>\n",
       "      <td>0.273984</td>\n",
       "      <td>0.300384</td>\n",
       "      <td>0.0441438</td>\n",
       "      <td>0.327125</td>\n",
       "      <td>0.179243</td>\n",
       "      <td>0.213053</td>\n",
       "      <td>0.2041</td>\n",
       "      <td>0.192715</td>\n",
       "      <td>0.186907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reduced Hours</th>\n",
       "      <td>0.280035</td>\n",
       "      <td>0.402667</td>\n",
       "      <td>0.119851</td>\n",
       "      <td>0.454863</td>\n",
       "      <td>0.21587</td>\n",
       "      <td>0.111486</td>\n",
       "      <td>0.369151</td>\n",
       "      <td>0.260358</td>\n",
       "      <td>0.182768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Still Go To Work</th>\n",
       "      <td>-0.0110763</td>\n",
       "      <td>0.0942662</td>\n",
       "      <td>-0.123275</td>\n",
       "      <td>0.0449092</td>\n",
       "      <td>-0.240579</td>\n",
       "      <td>-0.226523</td>\n",
       "      <td>-0.2006</td>\n",
       "      <td>-0.152434</td>\n",
       "      <td>-0.123355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Still Work From Home</th>\n",
       "      <td>0.0858585</td>\n",
       "      <td>0.185412</td>\n",
       "      <td>-0.0567193</td>\n",
       "      <td>0.195583</td>\n",
       "      <td>-0.0428414</td>\n",
       "      <td>-0.152958</td>\n",
       "      <td>-0.0541715</td>\n",
       "      <td>0.0104104</td>\n",
       "      <td>-0.0834444</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     General Health     Arousal Negative Valence  \\\n",
       "index                                                              \n",
       "Homeschool Children       -0.134337   -0.183751        0.0441929   \n",
       "Job At Risk                0.162568   0.0693702         0.458982   \n",
       "Lost Job                    0.17711    0.147189         0.353928   \n",
       "Lower Income              0.0860386 -0.00213847         0.256062   \n",
       "Now Work From Home         0.273984    0.300384        0.0441438   \n",
       "Reduced Hours              0.280035    0.402667         0.119851   \n",
       "Still Go To Work         -0.0110763   0.0942662        -0.123275   \n",
       "Still Work From Home      0.0858585    0.185412       -0.0567193   \n",
       "\n",
       "                     Positive Valence    Anxious      Bored  Depressed  \\\n",
       "index                                                                    \n",
       "Homeschool Children         -0.218432  0.0905374 -0.0340734 -0.0611161   \n",
       "Job At Risk                  0.145759   0.561566   0.241675   0.588852   \n",
       "Lost Job                     0.196187   0.460997   0.417742   0.517345   \n",
       "Lower Income                0.0595841   0.359494   0.112081    0.45823   \n",
       "Now Work From Home           0.327125   0.179243   0.213053     0.2041   \n",
       "Reduced Hours                0.454863    0.21587   0.111486   0.369151   \n",
       "Still Go To Work            0.0449092  -0.240579  -0.226523    -0.2006   \n",
       "Still Work From Home         0.195583 -0.0428414  -0.152958 -0.0541715   \n",
       "\n",
       "                         Lonely   Stressed  \n",
       "index                                       \n",
       "Homeschool Children   -0.192632   0.017701  \n",
       "Job At Risk            0.557144   0.559406  \n",
       "Lost Job               0.329387   0.483363  \n",
       "Lower Income           0.375862   0.346011  \n",
       "Now Work From Home     0.192715   0.186907  \n",
       "Reduced Hours          0.260358   0.182768  \n",
       "Still Go To Work      -0.152434  -0.123355  \n",
       "Still Work From Home  0.0104104 -0.0834444  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# mean difference in emotion scores between people who said 'yes' and 'no' to the following work situations\n",
    "col_list = ['Demographics_Health_General Health', 'Demographics_Health_Arousal',\n",
    "            'Demographics_Health_Negative Valence','Demographics_Health_Positive Valence',\n",
    "            'Demographics_Health_Anxious','Demographics_Health_Bored',\n",
    "            'Demographics_Health_Depressed','Demographics_Health_Lonely',\n",
    "            'Demographics_Health_Stressed']\n",
    "\n",
    "index_list = [col for col in demographics if col.startswith('Demographics_COVID_Ways Work Affected') and\n",
    "              'No Response' not in col]\n",
    "\n",
    "yes_minus_no, perc_diff = mean_differences(data, index_list, col_list)\n",
    "\n",
    "yes_minus_no.columns = yes_minus_no.columns.str.split('Health_').str[1]\n",
    "perc_diff.columns = perc_diff.columns.str.split('Health_').str[1]\n",
    "\n",
    "yes_minus_no.index = yes_minus_no.index.str.split('-').str[1]\n",
    "perc_diff.index = perc_diff.index.str.split('-').str[1]\n",
    "\n",
    "yes_minus_no.round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>General Health</th>\n",
       "      <th>Arousal</th>\n",
       "      <th>Negative Valence</th>\n",
       "      <th>Positive Valence</th>\n",
       "      <th>Anxious</th>\n",
       "      <th>Bored</th>\n",
       "      <th>Depressed</th>\n",
       "      <th>Lonely</th>\n",
       "      <th>Stressed</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Homeschool Children</th>\n",
       "      <td>-1.91911</td>\n",
       "      <td>-2.62501</td>\n",
       "      <td>0.631327</td>\n",
       "      <td>-3.12045</td>\n",
       "      <td>1.29339</td>\n",
       "      <td>-0.486763</td>\n",
       "      <td>-0.873088</td>\n",
       "      <td>-2.75189</td>\n",
       "      <td>0.252871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Job At Risk</th>\n",
       "      <td>2.32241</td>\n",
       "      <td>0.991003</td>\n",
       "      <td>6.55689</td>\n",
       "      <td>2.08227</td>\n",
       "      <td>8.02237</td>\n",
       "      <td>3.4525</td>\n",
       "      <td>8.41217</td>\n",
       "      <td>7.95919</td>\n",
       "      <td>7.99152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lost Job</th>\n",
       "      <td>2.53014</td>\n",
       "      <td>2.1027</td>\n",
       "      <td>5.05611</td>\n",
       "      <td>2.80268</td>\n",
       "      <td>6.58567</td>\n",
       "      <td>5.96775</td>\n",
       "      <td>7.39064</td>\n",
       "      <td>4.70552</td>\n",
       "      <td>6.90519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lower Income</th>\n",
       "      <td>1.22912</td>\n",
       "      <td>-0.0305496</td>\n",
       "      <td>3.65802</td>\n",
       "      <td>0.851201</td>\n",
       "      <td>5.13563</td>\n",
       "      <td>1.60116</td>\n",
       "      <td>6.54614</td>\n",
       "      <td>5.36946</td>\n",
       "      <td>4.94301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Now Work From Home</th>\n",
       "      <td>3.91406</td>\n",
       "      <td>4.29119</td>\n",
       "      <td>0.630626</td>\n",
       "      <td>4.67321</td>\n",
       "      <td>2.56062</td>\n",
       "      <td>3.04362</td>\n",
       "      <td>2.91572</td>\n",
       "      <td>2.75307</td>\n",
       "      <td>2.6701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reduced Hours</th>\n",
       "      <td>4.0005</td>\n",
       "      <td>5.75238</td>\n",
       "      <td>1.71216</td>\n",
       "      <td>6.49804</td>\n",
       "      <td>3.08386</td>\n",
       "      <td>1.59266</td>\n",
       "      <td>5.27358</td>\n",
       "      <td>3.7194</td>\n",
       "      <td>2.61096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Still Go To Work</th>\n",
       "      <td>-0.158233</td>\n",
       "      <td>1.34666</td>\n",
       "      <td>-1.76107</td>\n",
       "      <td>0.64156</td>\n",
       "      <td>-3.43684</td>\n",
       "      <td>-3.23605</td>\n",
       "      <td>-2.86572</td>\n",
       "      <td>-2.17762</td>\n",
       "      <td>-1.76222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Still Work From Home</th>\n",
       "      <td>1.22655</td>\n",
       "      <td>2.64875</td>\n",
       "      <td>-0.810276</td>\n",
       "      <td>2.79404</td>\n",
       "      <td>-0.61202</td>\n",
       "      <td>-2.18511</td>\n",
       "      <td>-0.773879</td>\n",
       "      <td>0.14872</td>\n",
       "      <td>-1.19206</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     General Health    Arousal Negative Valence  \\\n",
       "index                                                             \n",
       "Homeschool Children        -1.91911   -2.62501         0.631327   \n",
       "Job At Risk                 2.32241   0.991003          6.55689   \n",
       "Lost Job                    2.53014     2.1027          5.05611   \n",
       "Lower Income                1.22912 -0.0305496          3.65802   \n",
       "Now Work From Home          3.91406    4.29119         0.630626   \n",
       "Reduced Hours                4.0005    5.75238          1.71216   \n",
       "Still Go To Work          -0.158233    1.34666         -1.76107   \n",
       "Still Work From Home        1.22655    2.64875        -0.810276   \n",
       "\n",
       "                     Positive Valence  Anxious     Bored Depressed   Lonely  \\\n",
       "index                                                                         \n",
       "Homeschool Children          -3.12045  1.29339 -0.486763 -0.873088 -2.75189   \n",
       "Job At Risk                   2.08227  8.02237    3.4525   8.41217  7.95919   \n",
       "Lost Job                      2.80268  6.58567   5.96775   7.39064  4.70552   \n",
       "Lower Income                 0.851201  5.13563   1.60116   6.54614  5.36946   \n",
       "Now Work From Home            4.67321  2.56062   3.04362   2.91572  2.75307   \n",
       "Reduced Hours                 6.49804  3.08386   1.59266   5.27358   3.7194   \n",
       "Still Go To Work              0.64156 -3.43684  -3.23605  -2.86572 -2.17762   \n",
       "Still Work From Home          2.79404 -0.61202  -2.18511 -0.773879  0.14872   \n",
       "\n",
       "                      Stressed  \n",
       "index                           \n",
       "Homeschool Children   0.252871  \n",
       "Job At Risk            7.99152  \n",
       "Lost Job               6.90519  \n",
       "Lower Income           4.94301  \n",
       "Now Work From Home      2.6701  \n",
       "Reduced Hours          2.61096  \n",
       "Still Go To Work      -1.76222  \n",
       "Still Work From Home  -1.19206  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# percent difference in emotion scores between people who answer 'yes' and 'no' to the employment questions\n",
    "perc_diff.round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Major Survey Sections"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Activities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>Country_Country Name</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Call People_change</th>\n",
       "      <td>31.20</td>\n",
       "      <td>22.91</td>\n",
       "      <td>46.35</td>\n",
       "      <td>26.46</td>\n",
       "      <td>55.25</td>\n",
       "      <td>46.14</td>\n",
       "      <td>37.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Call People_mean</th>\n",
       "      <td>4.94</td>\n",
       "      <td>4.69</td>\n",
       "      <td>5.39</td>\n",
       "      <td>4.79</td>\n",
       "      <td>5.66</td>\n",
       "      <td>5.38</td>\n",
       "      <td>5.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Call People_sd</th>\n",
       "      <td>1.45</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.72</td>\n",
       "      <td>1.57</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.38</td>\n",
       "      <td>1.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cleaning_change</th>\n",
       "      <td>28.66</td>\n",
       "      <td>14.93</td>\n",
       "      <td>53.06</td>\n",
       "      <td>29.21</td>\n",
       "      <td>39.97</td>\n",
       "      <td>38.73</td>\n",
       "      <td>33.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cleaning_mean</th>\n",
       "      <td>4.86</td>\n",
       "      <td>4.45</td>\n",
       "      <td>5.59</td>\n",
       "      <td>4.88</td>\n",
       "      <td>5.20</td>\n",
       "      <td>5.16</td>\n",
       "      <td>5.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cleaning_sd</th>\n",
       "      <td>1.33</td>\n",
       "      <td>1.05</td>\n",
       "      <td>1.62</td>\n",
       "      <td>1.40</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cooking_change</th>\n",
       "      <td>25.63</td>\n",
       "      <td>17.29</td>\n",
       "      <td>41.27</td>\n",
       "      <td>22.30</td>\n",
       "      <td>33.93</td>\n",
       "      <td>37.42</td>\n",
       "      <td>29.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cooking_mean</th>\n",
       "      <td>4.77</td>\n",
       "      <td>4.52</td>\n",
       "      <td>5.24</td>\n",
       "      <td>4.67</td>\n",
       "      <td>5.02</td>\n",
       "      <td>5.12</td>\n",
       "      <td>4.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cooking_sd</th>\n",
       "      <td>1.31</td>\n",
       "      <td>1.07</td>\n",
       "      <td>1.61</td>\n",
       "      <td>1.42</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.36</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Crafting_change</th>\n",
       "      <td>16.18</td>\n",
       "      <td>8.95</td>\n",
       "      <td>19.61</td>\n",
       "      <td>13.97</td>\n",
       "      <td>11.09</td>\n",
       "      <td>14.78</td>\n",
       "      <td>14.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Crafting_mean</th>\n",
       "      <td>4.49</td>\n",
       "      <td>4.27</td>\n",
       "      <td>4.59</td>\n",
       "      <td>4.42</td>\n",
       "      <td>4.33</td>\n",
       "      <td>4.44</td>\n",
       "      <td>4.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Crafting_sd</th>\n",
       "      <td>1.34</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.72</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Create Online Content_change</th>\n",
       "      <td>4.22</td>\n",
       "      <td>0.47</td>\n",
       "      <td>30.39</td>\n",
       "      <td>-0.97</td>\n",
       "      <td>1.78</td>\n",
       "      <td>12.16</td>\n",
       "      <td>8.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Create Online Content_mean</th>\n",
       "      <td>4.13</td>\n",
       "      <td>4.01</td>\n",
       "      <td>4.91</td>\n",
       "      <td>3.97</td>\n",
       "      <td>4.05</td>\n",
       "      <td>4.36</td>\n",
       "      <td>4.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Create Online Content_sd</th>\n",
       "      <td>1.08</td>\n",
       "      <td>0.93</td>\n",
       "      <td>1.75</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.18</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drugs or Alcohol_change</th>\n",
       "      <td>-5.33</td>\n",
       "      <td>-2.23</td>\n",
       "      <td>6.15</td>\n",
       "      <td>-3.21</td>\n",
       "      <td>-6.65</td>\n",
       "      <td>1.78</td>\n",
       "      <td>-1.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drugs or Alcohol_mean</th>\n",
       "      <td>3.84</td>\n",
       "      <td>3.93</td>\n",
       "      <td>4.18</td>\n",
       "      <td>3.90</td>\n",
       "      <td>3.80</td>\n",
       "      <td>4.05</td>\n",
       "      <td>3.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drugs or Alcohol_sd</th>\n",
       "      <td>0.93</td>\n",
       "      <td>0.82</td>\n",
       "      <td>1.74</td>\n",
       "      <td>0.76</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exercise Indoors_change</th>\n",
       "      <td>14.25</td>\n",
       "      <td>8.56</td>\n",
       "      <td>47.55</td>\n",
       "      <td>6.76</td>\n",
       "      <td>29.59</td>\n",
       "      <td>29.74</td>\n",
       "      <td>22.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exercise Indoors_mean</th>\n",
       "      <td>4.43</td>\n",
       "      <td>4.26</td>\n",
       "      <td>5.43</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.89</td>\n",
       "      <td>4.89</td>\n",
       "      <td>4.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exercise Indoors_sd</th>\n",
       "      <td>1.43</td>\n",
       "      <td>1.13</td>\n",
       "      <td>1.70</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.48</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exercise Outdoors_change</th>\n",
       "      <td>-12.62</td>\n",
       "      <td>-0.47</td>\n",
       "      <td>-6.35</td>\n",
       "      <td>-4.28</td>\n",
       "      <td>11.06</td>\n",
       "      <td>6.63</td>\n",
       "      <td>-1.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exercise Outdoors_mean</th>\n",
       "      <td>3.62</td>\n",
       "      <td>3.99</td>\n",
       "      <td>3.81</td>\n",
       "      <td>3.87</td>\n",
       "      <td>4.33</td>\n",
       "      <td>4.20</td>\n",
       "      <td>3.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exercise Outdoors_sd</th>\n",
       "      <td>1.43</td>\n",
       "      <td>1.18</td>\n",
       "      <td>2.21</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.70</td>\n",
       "      <td>1.62</td>\n",
       "      <td>1.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fashion_change</th>\n",
       "      <td>-16.99</td>\n",
       "      <td>-12.04</td>\n",
       "      <td>9.86</td>\n",
       "      <td>-21.53</td>\n",
       "      <td>-26.65</td>\n",
       "      <td>-7.20</td>\n",
       "      <td>-11.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fashion_mean</th>\n",
       "      <td>3.49</td>\n",
       "      <td>3.64</td>\n",
       "      <td>4.30</td>\n",
       "      <td>3.35</td>\n",
       "      <td>3.20</td>\n",
       "      <td>3.78</td>\n",
       "      <td>3.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fashion_sd</th>\n",
       "      <td>1.18</td>\n",
       "      <td>1.22</td>\n",
       "      <td>2.01</td>\n",
       "      <td>1.36</td>\n",
       "      <td>1.50</td>\n",
       "      <td>1.60</td>\n",
       "      <td>1.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gardening_change</th>\n",
       "      <td>25.44</td>\n",
       "      <td>11.77</td>\n",
       "      <td>36.52</td>\n",
       "      <td>13.43</td>\n",
       "      <td>18.21</td>\n",
       "      <td>16.10</td>\n",
       "      <td>20.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gardening_mean</th>\n",
       "      <td>4.76</td>\n",
       "      <td>4.35</td>\n",
       "      <td>5.10</td>\n",
       "      <td>4.40</td>\n",
       "      <td>4.55</td>\n",
       "      <td>4.48</td>\n",
       "      <td>4.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gardening_sd</th>\n",
       "      <td>1.28</td>\n",
       "      <td>1.07</td>\n",
       "      <td>1.68</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.17</td>\n",
       "      <td>1.33</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Learning New Skills_change</th>\n",
       "      <td>0.80</td>\n",
       "      <td>1.59</td>\n",
       "      <td>50.18</td>\n",
       "      <td>20.36</td>\n",
       "      <td>21.23</td>\n",
       "      <td>17.67</td>\n",
       "      <td>18.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Learning New Skills_mean</th>\n",
       "      <td>4.02</td>\n",
       "      <td>4.05</td>\n",
       "      <td>5.51</td>\n",
       "      <td>4.61</td>\n",
       "      <td>4.64</td>\n",
       "      <td>4.53</td>\n",
       "      <td>4.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Learning New Skills_sd</th>\n",
       "      <td>1.20</td>\n",
       "      <td>1.05</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.42</td>\n",
       "      <td>1.50</td>\n",
       "      <td>1.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Making Music_change</th>\n",
       "      <td>0.81</td>\n",
       "      <td>-0.40</td>\n",
       "      <td>38.99</td>\n",
       "      <td>-1.49</td>\n",
       "      <td>22.51</td>\n",
       "      <td>22.95</td>\n",
       "      <td>13.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Making Music_mean</th>\n",
       "      <td>4.02</td>\n",
       "      <td>3.99</td>\n",
       "      <td>5.17</td>\n",
       "      <td>3.96</td>\n",
       "      <td>4.68</td>\n",
       "      <td>4.69</td>\n",
       "      <td>4.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Making Music_sd</th>\n",
       "      <td>0.99</td>\n",
       "      <td>0.81</td>\n",
       "      <td>1.72</td>\n",
       "      <td>1.09</td>\n",
       "      <td>1.22</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Meditating_change</th>\n",
       "      <td>0.26</td>\n",
       "      <td>2.03</td>\n",
       "      <td>45.63</td>\n",
       "      <td>2.90</td>\n",
       "      <td>6.99</td>\n",
       "      <td>23.38</td>\n",
       "      <td>13.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Meditating_mean</th>\n",
       "      <td>4.01</td>\n",
       "      <td>4.06</td>\n",
       "      <td>5.37</td>\n",
       "      <td>4.09</td>\n",
       "      <td>4.21</td>\n",
       "      <td>4.70</td>\n",
       "      <td>4.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Meditating_sd</th>\n",
       "      <td>1.03</td>\n",
       "      <td>0.83</td>\n",
       "      <td>1.65</td>\n",
       "      <td>1.33</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Music Listening_change</th>\n",
       "      <td>19.03</td>\n",
       "      <td>15.43</td>\n",
       "      <td>49.68</td>\n",
       "      <td>22.13</td>\n",
       "      <td>36.30</td>\n",
       "      <td>36.47</td>\n",
       "      <td>29.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Music Listening_mean</th>\n",
       "      <td>4.57</td>\n",
       "      <td>4.46</td>\n",
       "      <td>5.49</td>\n",
       "      <td>4.66</td>\n",
       "      <td>5.09</td>\n",
       "      <td>5.09</td>\n",
       "      <td>4.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Music Listening_sd</th>\n",
       "      <td>1.34</td>\n",
       "      <td>1.08</td>\n",
       "      <td>1.65</td>\n",
       "      <td>1.46</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Online Dating_change</th>\n",
       "      <td>-2.80</td>\n",
       "      <td>-0.89</td>\n",
       "      <td>12.22</td>\n",
       "      <td>-1.21</td>\n",
       "      <td>-5.04</td>\n",
       "      <td>2.60</td>\n",
       "      <td>1.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Online Dating_mean</th>\n",
       "      <td>3.92</td>\n",
       "      <td>3.97</td>\n",
       "      <td>4.37</td>\n",
       "      <td>3.96</td>\n",
       "      <td>3.85</td>\n",
       "      <td>4.08</td>\n",
       "      <td>4.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Online Dating_sd</th>\n",
       "      <td>0.75</td>\n",
       "      <td>0.81</td>\n",
       "      <td>1.74</td>\n",
       "      <td>1.10</td>\n",
       "      <td>0.89</td>\n",
       "      <td>1.18</td>\n",
       "      <td>1.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Photography_change</th>\n",
       "      <td>-3.50</td>\n",
       "      <td>-3.43</td>\n",
       "      <td>22.00</td>\n",
       "      <td>-8.19</td>\n",
       "      <td>0.11</td>\n",
       "      <td>5.58</td>\n",
       "      <td>2.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Photography_mean</th>\n",
       "      <td>3.89</td>\n",
       "      <td>3.90</td>\n",
       "      <td>4.66</td>\n",
       "      <td>3.75</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.17</td>\n",
       "      <td>4.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Photography_sd</th>\n",
       "      <td>0.87</td>\n",
       "      <td>0.98</td>\n",
       "      <td>1.89</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.37</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Playing Games_change</th>\n",
       "      <td>15.30</td>\n",
       "      <td>11.70</td>\n",
       "      <td>31.13</td>\n",
       "      <td>4.44</td>\n",
       "      <td>26.23</td>\n",
       "      <td>25.26</td>\n",
       "      <td>18.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Playing Games_mean</th>\n",
       "      <td>4.46</td>\n",
       "      <td>4.35</td>\n",
       "      <td>4.93</td>\n",
       "      <td>4.13</td>\n",
       "      <td>4.79</td>\n",
       "      <td>4.76</td>\n",
       "      <td>4.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Playing Games_sd</th>\n",
       "      <td>1.28</td>\n",
       "      <td>1.10</td>\n",
       "      <td>1.83</td>\n",
       "      <td>1.40</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.40</td>\n",
       "      <td>1.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reading Books_change</th>\n",
       "      <td>15.04</td>\n",
       "      <td>12.43</td>\n",
       "      <td>36.87</td>\n",
       "      <td>11.56</td>\n",
       "      <td>27.55</td>\n",
       "      <td>28.32</td>\n",
       "      <td>21.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reading Books_mean</th>\n",
       "      <td>4.45</td>\n",
       "      <td>4.37</td>\n",
       "      <td>5.11</td>\n",
       "      <td>4.35</td>\n",
       "      <td>4.83</td>\n",
       "      <td>4.85</td>\n",
       "      <td>4.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reading Books_sd</th>\n",
       "      <td>1.22</td>\n",
       "      <td>1.09</td>\n",
       "      <td>1.75</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1.24</td>\n",
       "      <td>1.37</td>\n",
       "      <td>1.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Searching for Music Info_change</th>\n",
       "      <td>0.15</td>\n",
       "      <td>0.36</td>\n",
       "      <td>36.08</td>\n",
       "      <td>-1.83</td>\n",
       "      <td>4.81</td>\n",
       "      <td>15.22</td>\n",
       "      <td>9.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Searching for Music Info_mean</th>\n",
       "      <td>4.00</td>\n",
       "      <td>4.01</td>\n",
       "      <td>5.08</td>\n",
       "      <td>3.95</td>\n",
       "      <td>4.14</td>\n",
       "      <td>4.46</td>\n",
       "      <td>4.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Searching for Music Info_sd</th>\n",
       "      <td>1.12</td>\n",
       "      <td>0.94</td>\n",
       "      <td>1.74</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sexual Activity_change</th>\n",
       "      <td>-4.38</td>\n",
       "      <td>-0.13</td>\n",
       "      <td>11.55</td>\n",
       "      <td>-7.93</td>\n",
       "      <td>-1.98</td>\n",
       "      <td>3.94</td>\n",
       "      <td>0.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sexual Activity_mean</th>\n",
       "      <td>3.87</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.35</td>\n",
       "      <td>3.76</td>\n",
       "      <td>3.94</td>\n",
       "      <td>4.12</td>\n",
       "      <td>4.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sexual Activity_sd</th>\n",
       "      <td>1.06</td>\n",
       "      <td>0.87</td>\n",
       "      <td>1.82</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopping Online_change</th>\n",
       "      <td>-5.05</td>\n",
       "      <td>12.04</td>\n",
       "      <td>13.68</td>\n",
       "      <td>9.85</td>\n",
       "      <td>20.45</td>\n",
       "      <td>35.13</td>\n",
       "      <td>13.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopping Online_mean</th>\n",
       "      <td>3.85</td>\n",
       "      <td>4.36</td>\n",
       "      <td>4.41</td>\n",
       "      <td>4.30</td>\n",
       "      <td>4.61</td>\n",
       "      <td>5.05</td>\n",
       "      <td>4.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopping Online_sd</th>\n",
       "      <td>1.50</td>\n",
       "      <td>1.17</td>\n",
       "      <td>2.16</td>\n",
       "      <td>1.52</td>\n",
       "      <td>1.58</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Social Media_change</th>\n",
       "      <td>18.13</td>\n",
       "      <td>13.11</td>\n",
       "      <td>50.06</td>\n",
       "      <td>22.31</td>\n",
       "      <td>26.68</td>\n",
       "      <td>29.68</td>\n",
       "      <td>26.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Social Media_mean</th>\n",
       "      <td>4.54</td>\n",
       "      <td>4.39</td>\n",
       "      <td>5.50</td>\n",
       "      <td>4.67</td>\n",
       "      <td>4.80</td>\n",
       "      <td>4.89</td>\n",
       "      <td>4.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Social Media_sd</th>\n",
       "      <td>1.34</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.66</td>\n",
       "      <td>1.40</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1.48</td>\n",
       "      <td>1.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thinking About Music_change</th>\n",
       "      <td>0.22</td>\n",
       "      <td>0.95</td>\n",
       "      <td>38.45</td>\n",
       "      <td>3.14</td>\n",
       "      <td>19.19</td>\n",
       "      <td>23.17</td>\n",
       "      <td>13.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thinking About Music_mean</th>\n",
       "      <td>4.01</td>\n",
       "      <td>4.03</td>\n",
       "      <td>5.15</td>\n",
       "      <td>4.09</td>\n",
       "      <td>4.58</td>\n",
       "      <td>4.70</td>\n",
       "      <td>4.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thinking About Music_sd</th>\n",
       "      <td>1.05</td>\n",
       "      <td>0.94</td>\n",
       "      <td>1.72</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virtual Exhibitions_change</th>\n",
       "      <td>-3.62</td>\n",
       "      <td>0.36</td>\n",
       "      <td>40.58</td>\n",
       "      <td>-2.88</td>\n",
       "      <td>4.89</td>\n",
       "      <td>17.59</td>\n",
       "      <td>9.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virtual Exhibitions_mean</th>\n",
       "      <td>3.89</td>\n",
       "      <td>4.01</td>\n",
       "      <td>5.22</td>\n",
       "      <td>3.91</td>\n",
       "      <td>4.15</td>\n",
       "      <td>4.53</td>\n",
       "      <td>4.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Virtual Exhibitions_sd</th>\n",
       "      <td>1.05</td>\n",
       "      <td>0.94</td>\n",
       "      <td>1.68</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.06</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Visit People in Person_change</th>\n",
       "      <td>-25.36</td>\n",
       "      <td>-25.15</td>\n",
       "      <td>-17.35</td>\n",
       "      <td>-14.38</td>\n",
       "      <td>-45.49</td>\n",
       "      <td>-31.45</td>\n",
       "      <td>-25.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Visit People in Person_mean</th>\n",
       "      <td>3.24</td>\n",
       "      <td>3.25</td>\n",
       "      <td>3.48</td>\n",
       "      <td>3.57</td>\n",
       "      <td>2.64</td>\n",
       "      <td>3.06</td>\n",
       "      <td>3.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Visit People in Person_sd</th>\n",
       "      <td>1.62</td>\n",
       "      <td>1.66</td>\n",
       "      <td>2.30</td>\n",
       "      <td>1.88</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.02</td>\n",
       "      <td>1.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Volunteering_change</th>\n",
       "      <td>-6.48</td>\n",
       "      <td>-4.47</td>\n",
       "      <td>34.09</td>\n",
       "      <td>-3.16</td>\n",
       "      <td>16.25</td>\n",
       "      <td>7.23</td>\n",
       "      <td>6.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Volunteering_mean</th>\n",
       "      <td>3.81</td>\n",
       "      <td>3.87</td>\n",
       "      <td>5.02</td>\n",
       "      <td>3.91</td>\n",
       "      <td>4.49</td>\n",
       "      <td>4.22</td>\n",
       "      <td>4.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Volunteering_sd</th>\n",
       "      <td>1.10</td>\n",
       "      <td>1.02</td>\n",
       "      <td>1.77</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.48</td>\n",
       "      <td>1.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Watching Movies_change</th>\n",
       "      <td>29.31</td>\n",
       "      <td>19.52</td>\n",
       "      <td>43.52</td>\n",
       "      <td>29.89</td>\n",
       "      <td>40.09</td>\n",
       "      <td>39.93</td>\n",
       "      <td>33.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Watching Movies_mean</th>\n",
       "      <td>4.88</td>\n",
       "      <td>4.59</td>\n",
       "      <td>5.31</td>\n",
       "      <td>4.90</td>\n",
       "      <td>5.20</td>\n",
       "      <td>5.20</td>\n",
       "      <td>5.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Watching Movies_sd</th>\n",
       "      <td>1.36</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1.71</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.24</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Watching News_change</th>\n",
       "      <td>23.50</td>\n",
       "      <td>32.32</td>\n",
       "      <td>56.81</td>\n",
       "      <td>35.17</td>\n",
       "      <td>36.79</td>\n",
       "      <td>42.90</td>\n",
       "      <td>37.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Watching News_mean</th>\n",
       "      <td>4.71</td>\n",
       "      <td>4.97</td>\n",
       "      <td>5.70</td>\n",
       "      <td>5.05</td>\n",
       "      <td>5.10</td>\n",
       "      <td>5.29</td>\n",
       "      <td>5.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Watching News_sd</th>\n",
       "      <td>1.40</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.52</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.46</td>\n",
       "      <td>1.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Writing_change</th>\n",
       "      <td>-5.98</td>\n",
       "      <td>-1.63</td>\n",
       "      <td>23.10</td>\n",
       "      <td>-6.05</td>\n",
       "      <td>4.16</td>\n",
       "      <td>8.99</td>\n",
       "      <td>3.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Writing_mean</th>\n",
       "      <td>3.82</td>\n",
       "      <td>3.95</td>\n",
       "      <td>4.69</td>\n",
       "      <td>3.82</td>\n",
       "      <td>4.12</td>\n",
       "      <td>4.27</td>\n",
       "      <td>4.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Writing_sd</th>\n",
       "      <td>0.94</td>\n",
       "      <td>0.80</td>\n",
       "      <td>1.68</td>\n",
       "      <td>1.05</td>\n",
       "      <td>1.08</td>\n",
       "      <td>1.18</td>\n",
       "      <td>1.20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country_Country Name             France  Germany  India  Italy     UK    USA  \\\n",
       "Call People_change                31.20    22.91  46.35  26.46  55.25  46.14   \n",
       "Call People_mean                   4.94     4.69   5.39   4.79   5.66   5.38   \n",
       "Call People_sd                     1.45     1.27   1.72   1.57   1.32   1.38   \n",
       "Cleaning_change                   28.66    14.93  53.06  29.21  39.97  38.73   \n",
       "Cleaning_mean                      4.86     4.45   5.59   4.88   5.20   5.16   \n",
       "Cleaning_sd                        1.33     1.05   1.62   1.40   1.34   1.41   \n",
       "Cooking_change                    25.63    17.29  41.27  22.30  33.93  37.42   \n",
       "Cooking_mean                       4.77     4.52   5.24   4.67   5.02   5.12   \n",
       "Cooking_sd                         1.31     1.07   1.61   1.42   1.27   1.36   \n",
       "Crafting_change                   16.18     8.95  19.61  13.97  11.09  14.78   \n",
       "Crafting_mean                      4.49     4.27   4.59   4.42   4.33   4.44   \n",
       "Crafting_sd                        1.34     1.15   1.72   1.44   1.21   1.27   \n",
       "Create Online Content_change       4.22     0.47  30.39  -0.97   1.78  12.16   \n",
       "Create Online Content_mean         4.13     4.01   4.91   3.97   4.05   4.36   \n",
       "Create Online Content_sd           1.08     0.93   1.75   1.30   1.18   1.27   \n",
       "Drugs or Alcohol_change           -5.33    -2.23   6.15  -3.21  -6.65   1.78   \n",
       "Drugs or Alcohol_mean              3.84     3.93   4.18   3.90   3.80   4.05   \n",
       "Drugs or Alcohol_sd                0.93     0.82   1.74   0.76   1.25   1.31   \n",
       "Exercise Indoors_change           14.25     8.56  47.55   6.76  29.59  29.74   \n",
       "Exercise Indoors_mean              4.43     4.26   5.43   4.20   4.89   4.89   \n",
       "Exercise Indoors_sd                1.43     1.13   1.70   1.53   1.48   1.41   \n",
       "Exercise Outdoors_change         -12.62    -0.47  -6.35  -4.28  11.06   6.63   \n",
       "Exercise Outdoors_mean             3.62     3.99   3.81   3.87   4.33   4.20   \n",
       "Exercise Outdoors_sd               1.43     1.18   2.21   1.49   1.70   1.62   \n",
       "Fashion_change                   -16.99   -12.04   9.86 -21.53 -26.65  -7.20   \n",
       "Fashion_mean                       3.49     3.64   4.30   3.35   3.20   3.78   \n",
       "Fashion_sd                         1.18     1.22   2.01   1.36   1.50   1.60   \n",
       "Gardening_change                  25.44    11.77  36.52  13.43  18.21  16.10   \n",
       "Gardening_mean                     4.76     4.35   5.10   4.40   4.55   4.48   \n",
       "Gardening_sd                       1.28     1.07   1.68   1.41   1.17   1.33   \n",
       "Learning New Skills_change         0.80     1.59  50.18  20.36  21.23  17.67   \n",
       "Learning New Skills_mean           4.02     4.05   5.51   4.61   4.64   4.53   \n",
       "Learning New Skills_sd             1.20     1.05   1.59   1.44   1.42   1.50   \n",
       "Making Music_change                0.81    -0.40  38.99  -1.49  22.51  22.95   \n",
       "Making Music_mean                  4.02     3.99   5.17   3.96   4.68   4.69   \n",
       "Making Music_sd                    0.99     0.81   1.72   1.09   1.22   1.35   \n",
       "Meditating_change                  0.26     2.03  45.63   2.90   6.99  23.38   \n",
       "Meditating_mean                    4.01     4.06   5.37   4.09   4.21   4.70   \n",
       "Meditating_sd                      1.03     0.83   1.65   1.33   0.99   1.30   \n",
       "Music Listening_change            19.03    15.43  49.68  22.13  36.30  36.47   \n",
       "Music Listening_mean               4.57     4.46   5.49   4.66   5.09   5.09   \n",
       "Music Listening_sd                 1.34     1.08   1.65   1.46   1.20   1.45   \n",
       "Online Dating_change              -2.80    -0.89  12.22  -1.21  -5.04   2.60   \n",
       "Online Dating_mean                 3.92     3.97   4.37   3.96   3.85   4.08   \n",
       "Online Dating_sd                   0.75     0.81   1.74   1.10   0.89   1.18   \n",
       "Photography_change                -3.50    -3.43  22.00  -8.19   0.11   5.58   \n",
       "Photography_mean                   3.89     3.90   4.66   3.75   4.00   4.17   \n",
       "Photography_sd                     0.87     0.98   1.89   1.45   1.30   1.37   \n",
       "Playing Games_change              15.30    11.70  31.13   4.44  26.23  25.26   \n",
       "Playing Games_mean                 4.46     4.35   4.93   4.13   4.79   4.76   \n",
       "Playing Games_sd                   1.28     1.10   1.83   1.40   1.26   1.40   \n",
       "Reading Books_change              15.04    12.43  36.87  11.56  27.55  28.32   \n",
       "Reading Books_mean                 4.45     4.37   5.11   4.35   4.83   4.85   \n",
       "Reading Books_sd                   1.22     1.09   1.75   1.47   1.24   1.37   \n",
       "Searching for Music Info_change    0.15     0.36  36.08  -1.83   4.81  15.22   \n",
       "Searching for Music Info_mean      4.00     4.01   5.08   3.95   4.14   4.46   \n",
       "Searching for Music Info_sd        1.12     0.94   1.74   1.31   1.15   1.34   \n",
       "Sexual Activity_change            -4.38    -0.13  11.55  -7.93  -1.98   3.94   \n",
       "Sexual Activity_mean               3.87     4.00   4.35   3.76   3.94   4.12   \n",
       "Sexual Activity_sd                 1.06     0.87   1.82   1.23   1.35   1.44   \n",
       "Shopping Online_change            -5.05    12.04  13.68   9.85  20.45  35.13   \n",
       "Shopping Online_mean               3.85     4.36   4.41   4.30   4.61   5.05   \n",
       "Shopping Online_sd                 1.50     1.17   2.16   1.52   1.58   1.49   \n",
       "Social Media_change               18.13    13.11  50.06  22.31  26.68  29.68   \n",
       "Social Media_mean                  4.54     4.39   5.50   4.67   4.80   4.89   \n",
       "Social Media_sd                    1.34     1.15   1.66   1.40   1.34   1.48   \n",
       "Thinking About Music_change        0.22     0.95  38.45   3.14  19.19  23.17   \n",
       "Thinking About Music_mean          4.01     4.03   5.15   4.09   4.58   4.70   \n",
       "Thinking About Music_sd            1.05     0.94   1.72   1.35   1.20   1.39   \n",
       "Virtual Exhibitions_change        -3.62     0.36  40.58  -2.88   4.89  17.59   \n",
       "Virtual Exhibitions_mean           3.89     4.01   5.22   3.91   4.15   4.53   \n",
       "Virtual Exhibitions_sd             1.05     0.94   1.68   1.19   1.06   1.34   \n",
       "Visit People in Person_change    -25.36   -25.15 -17.35 -14.38 -45.49 -31.45   \n",
       "Visit People in Person_mean        3.24     3.25   3.48   3.57   2.64   3.06   \n",
       "Visit People in Person_sd          1.62     1.66   2.30   1.88   2.00   2.02   \n",
       "Volunteering_change               -6.48    -4.47  34.09  -3.16  16.25   7.23   \n",
       "Volunteering_mean                  3.81     3.87   5.02   3.91   4.49   4.22   \n",
       "Volunteering_sd                    1.10     1.02   1.77   1.23   1.31   1.48   \n",
       "Watching Movies_change            29.31    19.52  43.52  29.89  40.09  39.93   \n",
       "Watching Movies_mean               4.88     4.59   5.31   4.90   5.20   5.20   \n",
       "Watching Movies_sd                 1.36     1.20   1.71   1.43   1.24   1.39   \n",
       "Watching News_change              23.50    32.32  56.81  35.17  36.79  42.90   \n",
       "Watching News_mean                 4.71     4.97   5.70   5.05   5.10   5.29   \n",
       "Watching News_sd                   1.40     1.32   1.52   1.47   1.49   1.46   \n",
       "Writing_change                    -5.98    -1.63  23.10  -6.05   4.16   8.99   \n",
       "Writing_mean                       3.82     3.95   4.69   3.82   4.12   4.27   \n",
       "Writing_sd                         0.94     0.80   1.68   1.05   1.08   1.18   \n",
       "\n",
       "Country_Country Name             TOTAL  \n",
       "Call People_change               37.03  \n",
       "Call People_mean                  5.11  \n",
       "Call People_sd                    1.50  \n",
       "Cleaning_change                  33.64  \n",
       "Cleaning_mean                     5.01  \n",
       "Cleaning_sd                       1.41  \n",
       "Cooking_change                   29.28  \n",
       "Cooking_mean                      4.88  \n",
       "Cooking_sd                        1.38  \n",
       "Crafting_change                  14.25  \n",
       "Crafting_mean                     4.43  \n",
       "Crafting_sd                       1.38  \n",
       "Create Online Content_change      8.20  \n",
       "Create Online Content_mean        4.25  \n",
       "Create Online Content_sd          1.32  \n",
       "Drugs or Alcohol_change          -1.40  \n",
       "Drugs or Alcohol_mean             3.96  \n",
       "Drugs or Alcohol_sd               1.18  \n",
       "Exercise Indoors_change          22.22  \n",
       "Exercise Indoors_mean             4.67  \n",
       "Exercise Indoors_sd               1.52  \n",
       "Exercise Outdoors_change         -1.74  \n",
       "Exercise Outdoors_mean            3.95  \n",
       "Exercise Outdoors_sd              1.64  \n",
       "Fashion_change                  -11.88  \n",
       "Fashion_mean                      3.64  \n",
       "Fashion_sd                        1.54  \n",
       "Gardening_change                 20.37  \n",
       "Gardening_mean                    4.61  \n",
       "Gardening_sd                      1.37  \n",
       "Learning New Skills_change       18.42  \n",
       "Learning New Skills_mean          4.55  \n",
       "Learning New Skills_sd            1.46  \n",
       "Making Music_change              13.37  \n",
       "Making Music_mean                 4.40  \n",
       "Making Music_sd                   1.32  \n",
       "Meditating_change                13.68  \n",
       "Meditating_mean                   4.41  \n",
       "Meditating_sd                     1.32  \n",
       "Music Listening_change           29.23  \n",
       "Music Listening_mean              4.88  \n",
       "Music Listening_sd                1.43  \n",
       "Online Dating_change              1.05  \n",
       "Online Dating_mean                4.03  \n",
       "Online Dating_sd                  1.15  \n",
       "Photography_change                2.11  \n",
       "Photography_mean                  4.06  \n",
       "Photography_sd                    1.38  \n",
       "Playing Games_change             18.54  \n",
       "Playing Games_mean                4.56  \n",
       "Playing Games_sd                  1.43  \n",
       "Reading Books_change             21.52  \n",
       "Reading Books_mean                4.65  \n",
       "Reading Books_sd                  1.41  \n",
       "Searching for Music Info_change   9.14  \n",
       "Searching for Music Info_mean     4.27  \n",
       "Searching for Music Info_sd       1.36  \n",
       "Sexual Activity_change            0.21  \n",
       "Sexual Activity_mean              4.01  \n",
       "Sexual Activity_sd                1.34  \n",
       "Shopping Online_change           13.61  \n",
       "Shopping Online_mean              4.41  \n",
       "Shopping Online_sd                1.64  \n",
       "Social Media_change              26.43  \n",
       "Social Media_mean                 4.79  \n",
       "Social Media_sd                   1.45  \n",
       "Thinking About Music_change      13.72  \n",
       "Thinking About Music_mean         4.41  \n",
       "Thinking About Music_sd           1.37  \n",
       "Virtual Exhibitions_change        9.54  \n",
       "Virtual Exhibitions_mean          4.29  \n",
       "Virtual Exhibitions_sd            1.33  \n",
       "Visit People in Person_change   -25.58  \n",
       "Visit People in Person_mean       3.23  \n",
       "Visit People in Person_sd         1.94  \n",
       "Volunteering_change               6.68  \n",
       "Volunteering_mean                 4.20  \n",
       "Volunteering_sd                   1.41  \n",
       "Watching Movies_change           33.27  \n",
       "Watching Movies_mean              5.00  \n",
       "Watching Movies_sd                1.43  \n",
       "Watching News_change             37.62  \n",
       "Watching News_mean                5.13  \n",
       "Watching News_sd                  1.48  \n",
       "Writing_change                    3.72  \n",
       "Writing_mean                      4.11  \n",
       "Writing_sd                        1.20  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col_list = [col for col in data.columns if col.startswith('Activities_')]\n",
    "group_col = 'Country_Country Name'\n",
    "\n",
    "new = group_numeric(data, col_list, group_col, 1)\n",
    "new.columns = new.columns.str.split('Activities_').str[1]\n",
    "new.transpose().round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Coping Behaviors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Country_Country Name</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Feel Connected to Others_mean</th>\n",
       "      <td>3.68</td>\n",
       "      <td>3.56</td>\n",
       "      <td>5.50</td>\n",
       "      <td>4.03</td>\n",
       "      <td>4.14</td>\n",
       "      <td>4.55</td>\n",
       "      <td>4.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Cope_mean</th>\n",
       "      <td>4.29</td>\n",
       "      <td>3.87</td>\n",
       "      <td>5.58</td>\n",
       "      <td>4.86</td>\n",
       "      <td>4.93</td>\n",
       "      <td>4.94</td>\n",
       "      <td>4.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Serve as Social Interaction_mean</th>\n",
       "      <td>3.62</td>\n",
       "      <td>3.52</td>\n",
       "      <td>5.48</td>\n",
       "      <td>3.80</td>\n",
       "      <td>4.09</td>\n",
       "      <td>4.52</td>\n",
       "      <td>4.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Connected to Others_sd</th>\n",
       "      <td>1.54</td>\n",
       "      <td>1.72</td>\n",
       "      <td>1.40</td>\n",
       "      <td>1.70</td>\n",
       "      <td>1.65</td>\n",
       "      <td>1.54</td>\n",
       "      <td>1.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Cope_sd</th>\n",
       "      <td>1.55</td>\n",
       "      <td>1.79</td>\n",
       "      <td>1.38</td>\n",
       "      <td>1.67</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Serve as Social Interaction_sd</th>\n",
       "      <td>1.62</td>\n",
       "      <td>1.75</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.80</td>\n",
       "      <td>1.72</td>\n",
       "      <td>1.61</td>\n",
       "      <td>1.79</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country_Country Name              France  Germany  India  Italy    UK   USA  \\\n",
       "Feel Connected to Others_mean       3.68     3.56   5.50   4.03  4.14  4.55   \n",
       "Helps Me Cope_mean                  4.29     3.87   5.58   4.86  4.93  4.94   \n",
       "Serve as Social Interaction_mean    3.62     3.52   5.48   3.80  4.09  4.52   \n",
       "Feel Connected to Others_sd         1.54     1.72   1.40   1.70  1.65  1.54   \n",
       "Helps Me Cope_sd                    1.55     1.79   1.38   1.67  1.47  1.45   \n",
       "Serve as Social Interaction_sd      1.62     1.75   1.45   1.80  1.72  1.61   \n",
       "\n",
       "Country_Country Name              TOTAL  \n",
       "Feel Connected to Others_mean      4.24  \n",
       "Helps Me Cope_mean                 4.73  \n",
       "Serve as Social Interaction_mean   4.17  \n",
       "Feel Connected to Others_sd        1.72  \n",
       "Helps Me Cope_sd                   1.65  \n",
       "Serve as Social Interaction_sd     1.79  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# music listening\n",
    "group_col = 'Country_Country Name'\n",
    "col_list = [col for col in data.columns if col.startswith('Music Listening_Hypotheses')]\n",
    "listening = group_numeric(data, col_list, group_col, 0)\n",
    "listening.columns = listening.columns.str.split('Hypotheses_').str[1]\n",
    "\n",
    "listening.transpose().round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Country_Country Name</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Feel Connected to Others_mean</th>\n",
       "      <td>3.79</td>\n",
       "      <td>3.56</td>\n",
       "      <td>5.39</td>\n",
       "      <td>4.19</td>\n",
       "      <td>3.83</td>\n",
       "      <td>4.36</td>\n",
       "      <td>4.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Cope_mean</th>\n",
       "      <td>3.80</td>\n",
       "      <td>3.80</td>\n",
       "      <td>5.56</td>\n",
       "      <td>4.76</td>\n",
       "      <td>4.53</td>\n",
       "      <td>4.64</td>\n",
       "      <td>4.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Serve as Social Interaction_mean</th>\n",
       "      <td>4.32</td>\n",
       "      <td>3.41</td>\n",
       "      <td>5.45</td>\n",
       "      <td>3.93</td>\n",
       "      <td>3.86</td>\n",
       "      <td>4.27</td>\n",
       "      <td>4.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Connected to Others_sd</th>\n",
       "      <td>1.44</td>\n",
       "      <td>1.86</td>\n",
       "      <td>1.50</td>\n",
       "      <td>1.76</td>\n",
       "      <td>1.59</td>\n",
       "      <td>1.70</td>\n",
       "      <td>1.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Cope_sd</th>\n",
       "      <td>1.44</td>\n",
       "      <td>1.87</td>\n",
       "      <td>1.42</td>\n",
       "      <td>1.74</td>\n",
       "      <td>1.61</td>\n",
       "      <td>1.72</td>\n",
       "      <td>1.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Serve as Social Interaction_sd</th>\n",
       "      <td>1.47</td>\n",
       "      <td>1.83</td>\n",
       "      <td>1.48</td>\n",
       "      <td>1.79</td>\n",
       "      <td>1.70</td>\n",
       "      <td>1.78</td>\n",
       "      <td>1.79</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country_Country Name              France  Germany  India  Italy    UK   USA  \\\n",
       "Feel Connected to Others_mean       3.79     3.56   5.39   4.19  3.83  4.36   \n",
       "Helps Me Cope_mean                  3.80     3.80   5.56   4.76  4.53  4.64   \n",
       "Serve as Social Interaction_mean    4.32     3.41   5.45   3.93  3.86  4.27   \n",
       "Feel Connected to Others_sd         1.44     1.86   1.50   1.76  1.59  1.70   \n",
       "Helps Me Cope_sd                    1.44     1.87   1.42   1.74  1.61  1.72   \n",
       "Serve as Social Interaction_sd      1.47     1.83   1.48   1.79  1.70  1.78   \n",
       "\n",
       "Country_Country Name              TOTAL  \n",
       "Feel Connected to Others_mean      4.35  \n",
       "Helps Me Cope_mean                 4.66  \n",
       "Serve as Social Interaction_mean   4.37  \n",
       "Feel Connected to Others_sd        1.75  \n",
       "Helps Me Cope_sd                   1.73  \n",
       "Serve as Social Interaction_sd     1.79  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# music making\n",
    "group_col = 'Country_Country Name'\n",
    "col_list = [col for col in data.columns if col.startswith('Making Music_Hypotheses')]\n",
    "performance = group_numeric(data, col_list, group_col, 0)\n",
    "performance.columns = performance.columns.str.split('Hypotheses_').str[1]\n",
    "\n",
    "performance.transpose().round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Country_Country Name</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Feel Connected to Others_mean</th>\n",
       "      <td>-0.11</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.10</td>\n",
       "      <td>-0.17</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.19</td>\n",
       "      <td>-0.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Cope_mean</th>\n",
       "      <td>0.49</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Serve as Social Interaction_mean</th>\n",
       "      <td>-0.70</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.03</td>\n",
       "      <td>-0.13</td>\n",
       "      <td>0.23</td>\n",
       "      <td>0.26</td>\n",
       "      <td>-0.20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country_Country Name              France  Germany  India  Italy    UK   USA  \\\n",
       "Feel Connected to Others_mean      -0.11     0.00   0.10  -0.17  0.31  0.19   \n",
       "Helps Me Cope_mean                  0.49     0.08   0.02   0.10  0.40  0.30   \n",
       "Serve as Social Interaction_mean   -0.70     0.11   0.03  -0.13  0.23  0.26   \n",
       "\n",
       "Country_Country Name              TOTAL  \n",
       "Feel Connected to Others_mean     -0.11  \n",
       "Helps Me Cope_mean                 0.07  \n",
       "Serve as Social Interaction_mean  -0.20  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# difference between music listening and music making\n",
    "mean_cols = [c for c in listening if '_mean' in c] \n",
    "listen_minus_perform = listening - performance\n",
    "listen_minus_perform[mean_cols].transpose().round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Country_Country Name</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Creates a Personal Space_change</th>\n",
       "      <td>10.96</td>\n",
       "      <td>12.92</td>\n",
       "      <td>49.03</td>\n",
       "      <td>20.13</td>\n",
       "      <td>28.67</td>\n",
       "      <td>31.28</td>\n",
       "      <td>25.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Creates a Personal Space_mean</th>\n",
       "      <td>4.33</td>\n",
       "      <td>4.39</td>\n",
       "      <td>5.47</td>\n",
       "      <td>4.60</td>\n",
       "      <td>4.86</td>\n",
       "      <td>4.94</td>\n",
       "      <td>4.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Creates a Personal Space_sd</th>\n",
       "      <td>1.16</td>\n",
       "      <td>1.08</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enables Me to Vent Negative Emotions_change</th>\n",
       "      <td>20.14</td>\n",
       "      <td>14.44</td>\n",
       "      <td>46.55</td>\n",
       "      <td>32.40</td>\n",
       "      <td>22.60</td>\n",
       "      <td>25.95</td>\n",
       "      <td>27.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enables Me to Vent Negative Emotions_mean</th>\n",
       "      <td>4.60</td>\n",
       "      <td>4.43</td>\n",
       "      <td>5.40</td>\n",
       "      <td>4.97</td>\n",
       "      <td>4.68</td>\n",
       "      <td>4.78</td>\n",
       "      <td>4.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enables Me to Vent Negative Emotions_sd</th>\n",
       "      <td>1.23</td>\n",
       "      <td>1.10</td>\n",
       "      <td>1.58</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Energizes Me_change</th>\n",
       "      <td>21.58</td>\n",
       "      <td>20.00</td>\n",
       "      <td>54.21</td>\n",
       "      <td>37.02</td>\n",
       "      <td>33.17</td>\n",
       "      <td>34.36</td>\n",
       "      <td>33.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Energizes Me_mean</th>\n",
       "      <td>4.65</td>\n",
       "      <td>4.60</td>\n",
       "      <td>5.63</td>\n",
       "      <td>5.11</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.03</td>\n",
       "      <td>5.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Energizes Me_sd</th>\n",
       "      <td>1.22</td>\n",
       "      <td>1.13</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Connected to My Culture_change</th>\n",
       "      <td>5.77</td>\n",
       "      <td>3.93</td>\n",
       "      <td>47.55</td>\n",
       "      <td>9.41</td>\n",
       "      <td>8.91</td>\n",
       "      <td>22.72</td>\n",
       "      <td>16.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Connected to My Culture_mean</th>\n",
       "      <td>4.17</td>\n",
       "      <td>4.12</td>\n",
       "      <td>5.43</td>\n",
       "      <td>4.28</td>\n",
       "      <td>4.27</td>\n",
       "      <td>4.68</td>\n",
       "      <td>4.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Connected to My Culture_sd</th>\n",
       "      <td>1.09</td>\n",
       "      <td>1.01</td>\n",
       "      <td>1.55</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.24</td>\n",
       "      <td>1.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Less Lonely_change</th>\n",
       "      <td>11.85</td>\n",
       "      <td>11.52</td>\n",
       "      <td>49.96</td>\n",
       "      <td>27.06</td>\n",
       "      <td>27.86</td>\n",
       "      <td>32.09</td>\n",
       "      <td>26.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Less Lonely_mean</th>\n",
       "      <td>4.36</td>\n",
       "      <td>4.35</td>\n",
       "      <td>5.50</td>\n",
       "      <td>4.81</td>\n",
       "      <td>4.84</td>\n",
       "      <td>4.96</td>\n",
       "      <td>4.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Less Lonely_sd</th>\n",
       "      <td>1.24</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Am Sharing My Experience_change</th>\n",
       "      <td>2.36</td>\n",
       "      <td>3.51</td>\n",
       "      <td>45.08</td>\n",
       "      <td>10.11</td>\n",
       "      <td>11.99</td>\n",
       "      <td>24.05</td>\n",
       "      <td>16.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Am Sharing My Experience_mean</th>\n",
       "      <td>4.07</td>\n",
       "      <td>4.11</td>\n",
       "      <td>5.35</td>\n",
       "      <td>4.30</td>\n",
       "      <td>4.36</td>\n",
       "      <td>4.72</td>\n",
       "      <td>4.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Am Sharing My Experience_sd</th>\n",
       "      <td>1.10</td>\n",
       "      <td>1.03</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.24</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Have Company_change</th>\n",
       "      <td>4.63</td>\n",
       "      <td>8.38</td>\n",
       "      <td>49.63</td>\n",
       "      <td>8.72</td>\n",
       "      <td>21.25</td>\n",
       "      <td>29.51</td>\n",
       "      <td>20.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Have Company_mean</th>\n",
       "      <td>4.14</td>\n",
       "      <td>4.25</td>\n",
       "      <td>5.49</td>\n",
       "      <td>4.26</td>\n",
       "      <td>4.64</td>\n",
       "      <td>4.89</td>\n",
       "      <td>4.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Have Company_sd</th>\n",
       "      <td>1.15</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.48</td>\n",
       "      <td>1.37</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Understand Others_change</th>\n",
       "      <td>1.61</td>\n",
       "      <td>3.46</td>\n",
       "      <td>43.94</td>\n",
       "      <td>8.97</td>\n",
       "      <td>8.90</td>\n",
       "      <td>22.90</td>\n",
       "      <td>15.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Understand Others_mean</th>\n",
       "      <td>4.05</td>\n",
       "      <td>4.10</td>\n",
       "      <td>5.32</td>\n",
       "      <td>4.27</td>\n",
       "      <td>4.27</td>\n",
       "      <td>4.69</td>\n",
       "      <td>4.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Understand Others_sd</th>\n",
       "      <td>1.07</td>\n",
       "      <td>0.88</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.37</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like Part of a Bigger Group_change</th>\n",
       "      <td>1.14</td>\n",
       "      <td>2.54</td>\n",
       "      <td>44.82</td>\n",
       "      <td>9.98</td>\n",
       "      <td>9.48</td>\n",
       "      <td>24.24</td>\n",
       "      <td>15.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like Part of a Bigger Group_mean</th>\n",
       "      <td>4.03</td>\n",
       "      <td>4.08</td>\n",
       "      <td>5.34</td>\n",
       "      <td>4.30</td>\n",
       "      <td>4.28</td>\n",
       "      <td>4.73</td>\n",
       "      <td>4.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like Part of a Bigger Group_sd</th>\n",
       "      <td>1.12</td>\n",
       "      <td>1.02</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.40</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Me New Perspectives_change</th>\n",
       "      <td>7.75</td>\n",
       "      <td>6.37</td>\n",
       "      <td>48.31</td>\n",
       "      <td>19.38</td>\n",
       "      <td>19.02</td>\n",
       "      <td>28.45</td>\n",
       "      <td>21.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Me New Perspectives_mean</th>\n",
       "      <td>4.23</td>\n",
       "      <td>4.19</td>\n",
       "      <td>5.45</td>\n",
       "      <td>4.58</td>\n",
       "      <td>4.57</td>\n",
       "      <td>4.85</td>\n",
       "      <td>4.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Me New Perspectives_sd</th>\n",
       "      <td>1.12</td>\n",
       "      <td>0.98</td>\n",
       "      <td>1.52</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Me Sense of Control_change</th>\n",
       "      <td>4.01</td>\n",
       "      <td>4.03</td>\n",
       "      <td>47.56</td>\n",
       "      <td>15.68</td>\n",
       "      <td>15.83</td>\n",
       "      <td>27.35</td>\n",
       "      <td>19.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Me Sense of Control_mean</th>\n",
       "      <td>4.12</td>\n",
       "      <td>4.12</td>\n",
       "      <td>5.43</td>\n",
       "      <td>4.47</td>\n",
       "      <td>4.47</td>\n",
       "      <td>4.82</td>\n",
       "      <td>4.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Me Sense of Control_sd</th>\n",
       "      <td>1.07</td>\n",
       "      <td>0.98</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Meaning to My Life_change</th>\n",
       "      <td>3.57</td>\n",
       "      <td>5.50</td>\n",
       "      <td>44.72</td>\n",
       "      <td>15.83</td>\n",
       "      <td>15.77</td>\n",
       "      <td>26.90</td>\n",
       "      <td>18.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Meaning to My Life_mean</th>\n",
       "      <td>4.11</td>\n",
       "      <td>4.16</td>\n",
       "      <td>5.34</td>\n",
       "      <td>4.47</td>\n",
       "      <td>4.47</td>\n",
       "      <td>4.81</td>\n",
       "      <td>4.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Meaning to My Life_sd</th>\n",
       "      <td>1.08</td>\n",
       "      <td>1.02</td>\n",
       "      <td>1.55</td>\n",
       "      <td>1.40</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Distract Me_change</th>\n",
       "      <td>19.93</td>\n",
       "      <td>17.31</td>\n",
       "      <td>52.91</td>\n",
       "      <td>35.20</td>\n",
       "      <td>37.16</td>\n",
       "      <td>36.93</td>\n",
       "      <td>32.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Distract Me_mean</th>\n",
       "      <td>4.60</td>\n",
       "      <td>4.52</td>\n",
       "      <td>5.59</td>\n",
       "      <td>5.06</td>\n",
       "      <td>5.11</td>\n",
       "      <td>5.11</td>\n",
       "      <td>4.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Distract Me_sd</th>\n",
       "      <td>1.23</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Keep a Routine_change</th>\n",
       "      <td>9.63</td>\n",
       "      <td>9.55</td>\n",
       "      <td>45.14</td>\n",
       "      <td>24.22</td>\n",
       "      <td>12.91</td>\n",
       "      <td>25.79</td>\n",
       "      <td>21.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Keep a Routine_mean</th>\n",
       "      <td>4.29</td>\n",
       "      <td>4.29</td>\n",
       "      <td>5.35</td>\n",
       "      <td>4.73</td>\n",
       "      <td>4.39</td>\n",
       "      <td>4.77</td>\n",
       "      <td>4.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Keep a Routine_sd</th>\n",
       "      <td>1.02</td>\n",
       "      <td>1.05</td>\n",
       "      <td>1.50</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Accept My Situation_change</th>\n",
       "      <td>11.71</td>\n",
       "      <td>8.81</td>\n",
       "      <td>49.91</td>\n",
       "      <td>19.67</td>\n",
       "      <td>20.75</td>\n",
       "      <td>29.70</td>\n",
       "      <td>23.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Accept My Situation_mean</th>\n",
       "      <td>4.35</td>\n",
       "      <td>4.26</td>\n",
       "      <td>5.50</td>\n",
       "      <td>4.59</td>\n",
       "      <td>4.62</td>\n",
       "      <td>4.89</td>\n",
       "      <td>4.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Accept My Situation_sd</th>\n",
       "      <td>1.18</td>\n",
       "      <td>1.06</td>\n",
       "      <td>1.52</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Concentrate_change</th>\n",
       "      <td>8.23</td>\n",
       "      <td>7.00</td>\n",
       "      <td>49.94</td>\n",
       "      <td>16.73</td>\n",
       "      <td>22.56</td>\n",
       "      <td>25.81</td>\n",
       "      <td>21.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Concentrate_mean</th>\n",
       "      <td>4.25</td>\n",
       "      <td>4.21</td>\n",
       "      <td>5.50</td>\n",
       "      <td>4.50</td>\n",
       "      <td>4.68</td>\n",
       "      <td>4.77</td>\n",
       "      <td>4.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Concentrate_sd</th>\n",
       "      <td>1.14</td>\n",
       "      <td>1.06</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Dwell on My Worries_change</th>\n",
       "      <td>13.41</td>\n",
       "      <td>4.10</td>\n",
       "      <td>41.95</td>\n",
       "      <td>25.51</td>\n",
       "      <td>-5.62</td>\n",
       "      <td>9.81</td>\n",
       "      <td>15.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Dwell on My Worries_mean</th>\n",
       "      <td>4.40</td>\n",
       "      <td>4.12</td>\n",
       "      <td>5.26</td>\n",
       "      <td>4.77</td>\n",
       "      <td>3.83</td>\n",
       "      <td>4.29</td>\n",
       "      <td>4.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Dwell on My Worries_sd</th>\n",
       "      <td>1.16</td>\n",
       "      <td>1.07</td>\n",
       "      <td>1.61</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Express My Identity_change</th>\n",
       "      <td>7.54</td>\n",
       "      <td>8.48</td>\n",
       "      <td>44.84</td>\n",
       "      <td>14.77</td>\n",
       "      <td>14.12</td>\n",
       "      <td>25.86</td>\n",
       "      <td>19.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Express My Identity_mean</th>\n",
       "      <td>4.23</td>\n",
       "      <td>4.25</td>\n",
       "      <td>5.35</td>\n",
       "      <td>4.44</td>\n",
       "      <td>4.42</td>\n",
       "      <td>4.78</td>\n",
       "      <td>4.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Express My Identity_sd</th>\n",
       "      <td>1.12</td>\n",
       "      <td>1.01</td>\n",
       "      <td>1.55</td>\n",
       "      <td>1.36</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Fall Asleep_change</th>\n",
       "      <td>1.10</td>\n",
       "      <td>1.66</td>\n",
       "      <td>41.91</td>\n",
       "      <td>2.82</td>\n",
       "      <td>10.29</td>\n",
       "      <td>19.61</td>\n",
       "      <td>12.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Fall Asleep_mean</th>\n",
       "      <td>4.03</td>\n",
       "      <td>4.05</td>\n",
       "      <td>5.26</td>\n",
       "      <td>4.08</td>\n",
       "      <td>4.31</td>\n",
       "      <td>4.59</td>\n",
       "      <td>4.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Fall Asleep_sd</th>\n",
       "      <td>1.18</td>\n",
       "      <td>1.05</td>\n",
       "      <td>1.63</td>\n",
       "      <td>1.33</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.33</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Identify with the Artist_change</th>\n",
       "      <td>1.76</td>\n",
       "      <td>1.63</td>\n",
       "      <td>42.08</td>\n",
       "      <td>7.82</td>\n",
       "      <td>3.31</td>\n",
       "      <td>21.11</td>\n",
       "      <td>13.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Identify with the Artist_mean</th>\n",
       "      <td>4.05</td>\n",
       "      <td>4.05</td>\n",
       "      <td>5.26</td>\n",
       "      <td>4.23</td>\n",
       "      <td>4.10</td>\n",
       "      <td>4.63</td>\n",
       "      <td>4.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Identify with the Artist_sd</th>\n",
       "      <td>1.08</td>\n",
       "      <td>0.93</td>\n",
       "      <td>1.54</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.16</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Relax_change</th>\n",
       "      <td>26.14</td>\n",
       "      <td>23.03</td>\n",
       "      <td>57.69</td>\n",
       "      <td>37.83</td>\n",
       "      <td>40.01</td>\n",
       "      <td>39.99</td>\n",
       "      <td>37.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Relax_mean</th>\n",
       "      <td>4.78</td>\n",
       "      <td>4.69</td>\n",
       "      <td>5.73</td>\n",
       "      <td>5.13</td>\n",
       "      <td>5.20</td>\n",
       "      <td>5.20</td>\n",
       "      <td>5.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Relax_sd</th>\n",
       "      <td>1.26</td>\n",
       "      <td>1.18</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.24</td>\n",
       "      <td>1.33</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Understand My Feelings_change</th>\n",
       "      <td>8.88</td>\n",
       "      <td>7.90</td>\n",
       "      <td>49.57</td>\n",
       "      <td>20.33</td>\n",
       "      <td>20.88</td>\n",
       "      <td>29.00</td>\n",
       "      <td>22.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Understand My Feelings_mean</th>\n",
       "      <td>4.27</td>\n",
       "      <td>4.24</td>\n",
       "      <td>5.49</td>\n",
       "      <td>4.61</td>\n",
       "      <td>4.63</td>\n",
       "      <td>4.87</td>\n",
       "      <td>4.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Understand My Feelings_sd</th>\n",
       "      <td>1.05</td>\n",
       "      <td>1.01</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.18</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Time Pass Quickly_change</th>\n",
       "      <td>17.70</td>\n",
       "      <td>10.73</td>\n",
       "      <td>50.56</td>\n",
       "      <td>22.72</td>\n",
       "      <td>33.56</td>\n",
       "      <td>33.98</td>\n",
       "      <td>27.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Time Pass Quickly_mean</th>\n",
       "      <td>4.53</td>\n",
       "      <td>4.32</td>\n",
       "      <td>5.52</td>\n",
       "      <td>4.68</td>\n",
       "      <td>5.01</td>\n",
       "      <td>5.02</td>\n",
       "      <td>4.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Time Pass Quickly_sd</th>\n",
       "      <td>1.19</td>\n",
       "      <td>1.10</td>\n",
       "      <td>1.46</td>\n",
       "      <td>1.46</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.33</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Is Enjoyable_change</th>\n",
       "      <td>32.21</td>\n",
       "      <td>26.69</td>\n",
       "      <td>55.98</td>\n",
       "      <td>43.06</td>\n",
       "      <td>47.32</td>\n",
       "      <td>43.12</td>\n",
       "      <td>41.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Is Enjoyable_mean</th>\n",
       "      <td>4.97</td>\n",
       "      <td>4.80</td>\n",
       "      <td>5.68</td>\n",
       "      <td>5.29</td>\n",
       "      <td>5.42</td>\n",
       "      <td>5.29</td>\n",
       "      <td>5.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Is Enjoyable_sd</th>\n",
       "      <td>1.28</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.42</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.36</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lets Me Daydream_change</th>\n",
       "      <td>22.59</td>\n",
       "      <td>15.36</td>\n",
       "      <td>43.84</td>\n",
       "      <td>30.39</td>\n",
       "      <td>30.76</td>\n",
       "      <td>32.52</td>\n",
       "      <td>29.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lets Me Daydream_mean</th>\n",
       "      <td>4.68</td>\n",
       "      <td>4.46</td>\n",
       "      <td>5.32</td>\n",
       "      <td>4.91</td>\n",
       "      <td>4.92</td>\n",
       "      <td>4.98</td>\n",
       "      <td>4.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lets Me Daydream_sd</th>\n",
       "      <td>1.28</td>\n",
       "      <td>1.14</td>\n",
       "      <td>1.58</td>\n",
       "      <td>1.38</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Makes Me Feel Good About Myself_change</th>\n",
       "      <td>16.48</td>\n",
       "      <td>6.91</td>\n",
       "      <td>51.49</td>\n",
       "      <td>16.71</td>\n",
       "      <td>30.88</td>\n",
       "      <td>33.55</td>\n",
       "      <td>25.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Makes Me Feel Good About Myself_mean</th>\n",
       "      <td>4.49</td>\n",
       "      <td>4.21</td>\n",
       "      <td>5.54</td>\n",
       "      <td>4.50</td>\n",
       "      <td>4.93</td>\n",
       "      <td>5.01</td>\n",
       "      <td>4.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Makes Me Feel Good About Myself_sd</th>\n",
       "      <td>1.16</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Makes Me Want to Move_change</th>\n",
       "      <td>15.72</td>\n",
       "      <td>9.40</td>\n",
       "      <td>42.70</td>\n",
       "      <td>16.50</td>\n",
       "      <td>25.37</td>\n",
       "      <td>27.93</td>\n",
       "      <td>22.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Makes Me Want to Move_mean</th>\n",
       "      <td>4.47</td>\n",
       "      <td>4.28</td>\n",
       "      <td>5.28</td>\n",
       "      <td>4.49</td>\n",
       "      <td>4.76</td>\n",
       "      <td>4.84</td>\n",
       "      <td>4.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Makes Me Want to Move_sd</th>\n",
       "      <td>1.21</td>\n",
       "      <td>1.11</td>\n",
       "      <td>1.55</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moves Me Emotionally_change</th>\n",
       "      <td>18.45</td>\n",
       "      <td>11.72</td>\n",
       "      <td>47.96</td>\n",
       "      <td>22.25</td>\n",
       "      <td>27.01</td>\n",
       "      <td>32.95</td>\n",
       "      <td>26.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moves Me Emotionally_mean</th>\n",
       "      <td>4.55</td>\n",
       "      <td>4.35</td>\n",
       "      <td>5.44</td>\n",
       "      <td>4.67</td>\n",
       "      <td>4.81</td>\n",
       "      <td>4.99</td>\n",
       "      <td>4.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moves Me Emotionally_sd</th>\n",
       "      <td>1.20</td>\n",
       "      <td>1.05</td>\n",
       "      <td>1.50</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.22</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides Comfort_change</th>\n",
       "      <td>15.28</td>\n",
       "      <td>9.35</td>\n",
       "      <td>53.36</td>\n",
       "      <td>28.01</td>\n",
       "      <td>34.11</td>\n",
       "      <td>38.68</td>\n",
       "      <td>29.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides Comfort_mean</th>\n",
       "      <td>4.46</td>\n",
       "      <td>4.28</td>\n",
       "      <td>5.60</td>\n",
       "      <td>4.84</td>\n",
       "      <td>5.02</td>\n",
       "      <td>5.16</td>\n",
       "      <td>4.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides Comfort_sd</th>\n",
       "      <td>1.23</td>\n",
       "      <td>1.13</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides a Good Background_change</th>\n",
       "      <td>14.44</td>\n",
       "      <td>19.30</td>\n",
       "      <td>49.66</td>\n",
       "      <td>33.33</td>\n",
       "      <td>39.92</td>\n",
       "      <td>37.38</td>\n",
       "      <td>31.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides a Good Background_mean</th>\n",
       "      <td>4.43</td>\n",
       "      <td>4.58</td>\n",
       "      <td>5.49</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.20</td>\n",
       "      <td>5.12</td>\n",
       "      <td>4.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides a Good Background_sd</th>\n",
       "      <td>1.23</td>\n",
       "      <td>1.12</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.42</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides a Spiritual Experience_change</th>\n",
       "      <td>2.66</td>\n",
       "      <td>0.56</td>\n",
       "      <td>47.30</td>\n",
       "      <td>6.67</td>\n",
       "      <td>6.44</td>\n",
       "      <td>24.78</td>\n",
       "      <td>14.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides a Spiritual Experience_mean</th>\n",
       "      <td>4.08</td>\n",
       "      <td>4.02</td>\n",
       "      <td>5.42</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.19</td>\n",
       "      <td>4.74</td>\n",
       "      <td>4.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides a Spiritual Experience_sd</th>\n",
       "      <td>1.12</td>\n",
       "      <td>0.97</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.38</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides an Aesthetic Experience_change</th>\n",
       "      <td>-0.21</td>\n",
       "      <td>2.87</td>\n",
       "      <td>45.31</td>\n",
       "      <td>2.50</td>\n",
       "      <td>14.33</td>\n",
       "      <td>28.65</td>\n",
       "      <td>15.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides an Aesthetic Experience_mean</th>\n",
       "      <td>3.99</td>\n",
       "      <td>4.09</td>\n",
       "      <td>5.36</td>\n",
       "      <td>4.08</td>\n",
       "      <td>4.43</td>\n",
       "      <td>4.86</td>\n",
       "      <td>4.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides an Aesthetic Experience_sd</th>\n",
       "      <td>1.06</td>\n",
       "      <td>0.96</td>\n",
       "      <td>1.52</td>\n",
       "      <td>1.36</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Puts Me in a Good Mood_change</th>\n",
       "      <td>25.25</td>\n",
       "      <td>25.11</td>\n",
       "      <td>54.86</td>\n",
       "      <td>38.65</td>\n",
       "      <td>42.23</td>\n",
       "      <td>41.24</td>\n",
       "      <td>37.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Puts Me in a Good Mood_mean</th>\n",
       "      <td>4.76</td>\n",
       "      <td>4.75</td>\n",
       "      <td>5.65</td>\n",
       "      <td>5.16</td>\n",
       "      <td>5.27</td>\n",
       "      <td>5.24</td>\n",
       "      <td>5.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Puts Me in a Good Mood_sd</th>\n",
       "      <td>1.25</td>\n",
       "      <td>1.16</td>\n",
       "      <td>1.42</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.24</td>\n",
       "      <td>1.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reduces My Stress_change</th>\n",
       "      <td>14.71</td>\n",
       "      <td>11.74</td>\n",
       "      <td>54.90</td>\n",
       "      <td>32.28</td>\n",
       "      <td>39.43</td>\n",
       "      <td>40.28</td>\n",
       "      <td>31.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reduces My Stress_mean</th>\n",
       "      <td>4.44</td>\n",
       "      <td>4.35</td>\n",
       "      <td>5.65</td>\n",
       "      <td>4.97</td>\n",
       "      <td>5.18</td>\n",
       "      <td>5.21</td>\n",
       "      <td>4.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reduces My Stress_sd</th>\n",
       "      <td>1.22</td>\n",
       "      <td>1.17</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.46</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reminiscent of Positive Times_change</th>\n",
       "      <td>19.86</td>\n",
       "      <td>14.00</td>\n",
       "      <td>50.77</td>\n",
       "      <td>28.54</td>\n",
       "      <td>36.07</td>\n",
       "      <td>38.15</td>\n",
       "      <td>30.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reminiscent of Positive Times_mean</th>\n",
       "      <td>4.60</td>\n",
       "      <td>4.42</td>\n",
       "      <td>5.52</td>\n",
       "      <td>4.86</td>\n",
       "      <td>5.08</td>\n",
       "      <td>5.14</td>\n",
       "      <td>4.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reminiscent of Positive Times_sd</th>\n",
       "      <td>1.22</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.46</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stimulates Me Intellectually_change</th>\n",
       "      <td>9.29</td>\n",
       "      <td>8.88</td>\n",
       "      <td>46.12</td>\n",
       "      <td>29.10</td>\n",
       "      <td>13.33</td>\n",
       "      <td>26.43</td>\n",
       "      <td>22.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stimulates Me Intellectually_mean</th>\n",
       "      <td>4.28</td>\n",
       "      <td>4.27</td>\n",
       "      <td>5.38</td>\n",
       "      <td>4.87</td>\n",
       "      <td>4.40</td>\n",
       "      <td>4.79</td>\n",
       "      <td>4.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stimulates Me Intellectually_sd</th>\n",
       "      <td>1.12</td>\n",
       "      <td>1.04</td>\n",
       "      <td>1.57</td>\n",
       "      <td>1.37</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Supports Me in a Bad Mood_change</th>\n",
       "      <td>20.77</td>\n",
       "      <td>22.39</td>\n",
       "      <td>53.54</td>\n",
       "      <td>37.35</td>\n",
       "      <td>36.38</td>\n",
       "      <td>35.69</td>\n",
       "      <td>34.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Supports Me in a Bad Mood_mean</th>\n",
       "      <td>4.62</td>\n",
       "      <td>4.67</td>\n",
       "      <td>5.61</td>\n",
       "      <td>5.12</td>\n",
       "      <td>5.09</td>\n",
       "      <td>5.07</td>\n",
       "      <td>5.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Supports Me in a Bad Mood_sd</th>\n",
       "      <td>1.18</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country_Country Name                         France  Germany  India  Italy  \\\n",
       "Creates a Personal Space_change               10.96    12.92  49.03  20.13   \n",
       "Creates a Personal Space_mean                  4.33     4.39   5.47   4.60   \n",
       "Creates a Personal Space_sd                    1.16     1.08   1.51   1.45   \n",
       "Enables Me to Vent Negative Emotions_change   20.14    14.44  46.55  32.40   \n",
       "Enables Me to Vent Negative Emotions_mean      4.60     4.43   5.40   4.97   \n",
       "Enables Me to Vent Negative Emotions_sd        1.23     1.10   1.58   1.43   \n",
       "Energizes Me_change                           21.58    20.00  54.21  37.02   \n",
       "Energizes Me_mean                              4.65     4.60   5.63   5.11   \n",
       "Energizes Me_sd                                1.22     1.13   1.43   1.39   \n",
       "Feel Connected to My Culture_change            5.77     3.93  47.55   9.41   \n",
       "Feel Connected to My Culture_mean              4.17     4.12   5.43   4.28   \n",
       "Feel Connected to My Culture_sd                1.09     1.01   1.55   1.39   \n",
       "Feel Less Lonely_change                       11.85    11.52  49.96  27.06   \n",
       "Feel Less Lonely_mean                          4.36     4.35   5.50   4.81   \n",
       "Feel Less Lonely_sd                            1.24     1.15   1.51   1.43   \n",
       "Feel Like I Am Sharing My Experience_change    2.36     3.51  45.08  10.11   \n",
       "Feel Like I Am Sharing My Experience_mean      4.07     4.11   5.35   4.30   \n",
       "Feel Like I Am Sharing My Experience_sd        1.10     1.03   1.53   1.43   \n",
       "Feel Like I Have Company_change                4.63     8.38  49.63   8.72   \n",
       "Feel Like I Have Company_mean                  4.14     4.25   5.49   4.26   \n",
       "Feel Like I Have Company_sd                    1.15     1.00   1.48   1.37   \n",
       "Feel Like I Understand Others_change           1.61     3.46  43.94   8.97   \n",
       "Feel Like I Understand Others_mean             4.05     4.10   5.32   4.27   \n",
       "Feel Like I Understand Others_sd               1.07     0.88   1.53   1.37   \n",
       "Feel Like Part of a Bigger Group_change        1.14     2.54  44.82   9.98   \n",
       "Feel Like Part of a Bigger Group_mean          4.03     4.08   5.34   4.30   \n",
       "Feel Like Part of a Bigger Group_sd            1.12     1.02   1.51   1.40   \n",
       "Gives Me New Perspectives_change               7.75     6.37  48.31  19.38   \n",
       "Gives Me New Perspectives_mean                 4.23     4.19   5.45   4.58   \n",
       "Gives Me New Perspectives_sd                   1.12     0.98   1.52   1.39   \n",
       "Gives Me Sense of Control_change               4.01     4.03  47.56  15.68   \n",
       "Gives Me Sense of Control_mean                 4.12     4.12   5.43   4.47   \n",
       "Gives Me Sense of Control_sd                   1.07     0.98   1.47   1.34   \n",
       "Gives Meaning to My Life_change                3.57     5.50  44.72  15.83   \n",
       "Gives Meaning to My Life_mean                  4.11     4.16   5.34   4.47   \n",
       "Gives Meaning to My Life_sd                    1.08     1.02   1.55   1.40   \n",
       "Helps Distract Me_change                      19.93    17.31  52.91  35.20   \n",
       "Helps Distract Me_mean                         4.60     4.52   5.59   5.06   \n",
       "Helps Distract Me_sd                           1.23     1.19   1.49   1.45   \n",
       "Helps Keep a Routine_change                    9.63     9.55  45.14  24.22   \n",
       "Helps Keep a Routine_mean                      4.29     4.29   5.35   4.73   \n",
       "Helps Keep a Routine_sd                        1.02     1.05   1.50   1.39   \n",
       "Helps Me Accept My Situation_change           11.71     8.81  49.91  19.67   \n",
       "Helps Me Accept My Situation_mean              4.35     4.26   5.50   4.59   \n",
       "Helps Me Accept My Situation_sd                1.18     1.06   1.52   1.41   \n",
       "Helps Me Concentrate_change                    8.23     7.00  49.94  16.73   \n",
       "Helps Me Concentrate_mean                      4.25     4.21   5.50   4.50   \n",
       "Helps Me Concentrate_sd                        1.14     1.06   1.47   1.39   \n",
       "Helps Me Dwell on My Worries_change           13.41     4.10  41.95  25.51   \n",
       "Helps Me Dwell on My Worries_mean              4.40     4.12   5.26   4.77   \n",
       "Helps Me Dwell on My Worries_sd                1.16     1.07   1.61   1.41   \n",
       "Helps Me Express My Identity_change            7.54     8.48  44.84  14.77   \n",
       "Helps Me Express My Identity_mean              4.23     4.25   5.35   4.44   \n",
       "Helps Me Express My Identity_sd                1.12     1.01   1.55   1.36   \n",
       "Helps Me Fall Asleep_change                    1.10     1.66  41.91   2.82   \n",
       "Helps Me Fall Asleep_mean                      4.03     4.05   5.26   4.08   \n",
       "Helps Me Fall Asleep_sd                        1.18     1.05   1.63   1.33   \n",
       "Helps Me Identify with the Artist_change       1.76     1.63  42.08   7.82   \n",
       "Helps Me Identify with the Artist_mean         4.05     4.05   5.26   4.23   \n",
       "Helps Me Identify with the Artist_sd           1.08     0.93   1.54   1.35   \n",
       "Helps Me Relax_change                         26.14    23.03  57.69  37.83   \n",
       "Helps Me Relax_mean                            4.78     4.69   5.73   5.13   \n",
       "Helps Me Relax_sd                              1.26     1.18   1.43   1.41   \n",
       "Helps Me Understand My Feelings_change         8.88     7.90  49.57  20.33   \n",
       "Helps Me Understand My Feelings_mean           4.27     4.24   5.49   4.61   \n",
       "Helps Me Understand My Feelings_sd             1.05     1.01   1.51   1.39   \n",
       "Helps Time Pass Quickly_change                17.70    10.73  50.56  22.72   \n",
       "Helps Time Pass Quickly_mean                   4.53     4.32   5.52   4.68   \n",
       "Helps Time Pass Quickly_sd                     1.19     1.10   1.46   1.46   \n",
       "Is Enjoyable_change                           32.21    26.69  55.98  43.06   \n",
       "Is Enjoyable_mean                              4.97     4.80   5.68   5.29   \n",
       "Is Enjoyable_sd                                1.28     1.23   1.42   1.41   \n",
       "Lets Me Daydream_change                       22.59    15.36  43.84  30.39   \n",
       "Lets Me Daydream_mean                          4.68     4.46   5.32   4.91   \n",
       "Lets Me Daydream_sd                            1.28     1.14   1.58   1.38   \n",
       "Makes Me Feel Good About Myself_change        16.48     6.91  51.49  16.71   \n",
       "Makes Me Feel Good About Myself_mean           4.49     4.21   5.54   4.50   \n",
       "Makes Me Feel Good About Myself_sd             1.16     1.00   1.49   1.43   \n",
       "Makes Me Want to Move_change                  15.72     9.40  42.70  16.50   \n",
       "Makes Me Want to Move_mean                     4.47     4.28   5.28   4.49   \n",
       "Makes Me Want to Move_sd                       1.21     1.11   1.55   1.51   \n",
       "Moves Me Emotionally_change                   18.45    11.72  47.96  22.25   \n",
       "Moves Me Emotionally_mean                      4.55     4.35   5.44   4.67   \n",
       "Moves Me Emotionally_sd                        1.20     1.05   1.50   1.41   \n",
       "Provides Comfort_change                       15.28     9.35  53.36  28.01   \n",
       "Provides Comfort_mean                          4.46     4.28   5.60   4.84   \n",
       "Provides Comfort_sd                            1.23     1.13   1.43   1.45   \n",
       "Provides a Good Background_change             14.44    19.30  49.66  33.33   \n",
       "Provides a Good Background_mean                4.43     4.58   5.49   5.00   \n",
       "Provides a Good Background_sd                  1.23     1.12   1.49   1.42   \n",
       "Provides a Spiritual Experience_change         2.66     0.56  47.30   6.67   \n",
       "Provides a Spiritual Experience_mean           4.08     4.02   5.42   4.20   \n",
       "Provides a Spiritual Experience_sd             1.12     0.97   1.53   1.38   \n",
       "Provides an Aesthetic Experience_change       -0.21     2.87  45.31   2.50   \n",
       "Provides an Aesthetic Experience_mean          3.99     4.09   5.36   4.08   \n",
       "Provides an Aesthetic Experience_sd            1.06     0.96   1.52   1.36   \n",
       "Puts Me in a Good Mood_change                 25.25    25.11  54.86  38.65   \n",
       "Puts Me in a Good Mood_mean                    4.76     4.75   5.65   5.16   \n",
       "Puts Me in a Good Mood_sd                      1.25     1.16   1.42   1.44   \n",
       "Reduces My Stress_change                      14.71    11.74  54.90  32.28   \n",
       "Reduces My Stress_mean                         4.44     4.35   5.65   4.97   \n",
       "Reduces My Stress_sd                           1.22     1.17   1.49   1.46   \n",
       "Reminiscent of Positive Times_change          19.86    14.00  50.77  28.54   \n",
       "Reminiscent of Positive Times_mean             4.60     4.42   5.52   4.86   \n",
       "Reminiscent of Positive Times_sd               1.22     1.19   1.45   1.46   \n",
       "Stimulates Me Intellectually_change            9.29     8.88  46.12  29.10   \n",
       "Stimulates Me Intellectually_mean              4.28     4.27   5.38   4.87   \n",
       "Stimulates Me Intellectually_sd                1.12     1.04   1.57   1.37   \n",
       "Supports Me in a Bad Mood_change              20.77    22.39  53.54  37.35   \n",
       "Supports Me in a Bad Mood_mean                 4.62     4.67   5.61   5.12   \n",
       "Supports Me in a Bad Mood_sd                   1.18     1.19   1.49   1.47   \n",
       "\n",
       "Country_Country Name                            UK    USA  TOTAL  \n",
       "Creates a Personal Space_change              28.67  31.28  25.21  \n",
       "Creates a Personal Space_mean                 4.86   4.94   4.76  \n",
       "Creates a Personal Space_sd                   1.32   1.30   1.37  \n",
       "Enables Me to Vent Negative Emotions_change  22.60  25.95  27.13  \n",
       "Enables Me to Vent Negative Emotions_mean     4.68   4.78   4.81  \n",
       "Enables Me to Vent Negative Emotions_sd       1.31   1.34   1.37  \n",
       "Energizes Me_change                          33.17  34.36  33.27  \n",
       "Energizes Me_mean                             5.00   5.03   5.00  \n",
       "Energizes Me_sd                               1.30   1.29   1.34  \n",
       "Feel Connected to My Culture_change           8.91  22.72  16.56  \n",
       "Feel Connected to My Culture_mean             4.27   4.68   4.50  \n",
       "Feel Connected to My Culture_sd               1.19   1.24   1.34  \n",
       "Feel Less Lonely_change                      27.86  32.09  26.51  \n",
       "Feel Less Lonely_mean                         4.84   4.96   4.80  \n",
       "Feel Less Lonely_sd                           1.32   1.34   1.40  \n",
       "Feel Like I Am Sharing My Experience_change  11.99  24.05  16.18  \n",
       "Feel Like I Am Sharing My Experience_mean     4.36   4.72   4.49  \n",
       "Feel Like I Am Sharing My Experience_sd       1.24   1.32   1.36  \n",
       "Feel Like I Have Company_change              21.25  29.51  20.16  \n",
       "Feel Like I Have Company_mean                 4.64   4.89   4.60  \n",
       "Feel Like I Have Company_sd                   1.28   1.31   1.36  \n",
       "Feel Like I Understand Others_change          8.90  22.90  15.08  \n",
       "Feel Like I Understand Others_mean            4.27   4.69   4.45  \n",
       "Feel Like I Understand Others_sd              1.25   1.32   1.33  \n",
       "Feel Like Part of a Bigger Group_change       9.48  24.24  15.45  \n",
       "Feel Like Part of a Bigger Group_mean         4.28   4.73   4.46  \n",
       "Feel Like Part of a Bigger Group_sd           1.31   1.28   1.36  \n",
       "Gives Me New Perspectives_change             19.02  28.45  21.48  \n",
       "Gives Me New Perspectives_mean                4.57   4.85   4.64  \n",
       "Gives Me New Perspectives_sd                  1.28   1.30   1.34  \n",
       "Gives Me Sense of Control_change             15.83  27.35  19.07  \n",
       "Gives Me Sense of Control_mean                4.47   4.82   4.57  \n",
       "Gives Me Sense of Control_sd                  1.25   1.29   1.32  \n",
       "Gives Meaning to My Life_change              15.77  26.90  18.72  \n",
       "Gives Meaning to My Life_mean                 4.47   4.81   4.56  \n",
       "Gives Meaning to My Life_sd                   1.21   1.26   1.34  \n",
       "Helps Distract Me_change                     37.16  36.93  32.95  \n",
       "Helps Distract Me_mean                        5.11   5.11   4.99  \n",
       "Helps Distract Me_sd                          1.29   1.30   1.38  \n",
       "Helps Keep a Routine_change                  12.91  25.79  21.38  \n",
       "Helps Keep a Routine_mean                     4.39   4.77   4.64  \n",
       "Helps Keep a Routine_sd                       1.27   1.25   1.31  \n",
       "Helps Me Accept My Situation_change          20.75  29.70  23.43  \n",
       "Helps Me Accept My Situation_mean             4.62   4.89   4.70  \n",
       "Helps Me Accept My Situation_sd               1.31   1.29   1.36  \n",
       "Helps Me Concentrate_change                  22.56  25.81  21.54  \n",
       "Helps Me Concentrate_mean                     4.68   4.77   4.65  \n",
       "Helps Me Concentrate_sd                       1.28   1.32   1.36  \n",
       "Helps Me Dwell on My Worries_change          -5.62   9.81  15.70  \n",
       "Helps Me Dwell on My Worries_mean             3.83   4.29   4.47  \n",
       "Helps Me Dwell on My Worries_sd               1.45   1.53   1.45  \n",
       "Helps Me Express My Identity_change          14.12  25.86  19.33  \n",
       "Helps Me Express My Identity_mean             4.42   4.78   4.58  \n",
       "Helps Me Express My Identity_sd               1.23   1.28   1.33  \n",
       "Helps Me Fall Asleep_change                  10.29  19.61  12.90  \n",
       "Helps Me Fall Asleep_mean                     4.31   4.59   4.39  \n",
       "Helps Me Fall Asleep_sd                       1.25   1.33   1.38  \n",
       "Helps Me Identify with the Artist_change      3.31  21.11  13.20  \n",
       "Helps Me Identify with the Artist_mean        4.10   4.63   4.40  \n",
       "Helps Me Identify with the Artist_sd          1.16   1.30   1.32  \n",
       "Helps Me Relax_change                        40.01  39.99  37.20  \n",
       "Helps Me Relax_mean                           5.20   5.20   5.12  \n",
       "Helps Me Relax_sd                             1.24   1.33   1.36  \n",
       "Helps Me Understand My Feelings_change       20.88  29.00  22.71  \n",
       "Helps Me Understand My Feelings_mean          4.63   4.87   4.68  \n",
       "Helps Me Understand My Feelings_sd            1.18   1.28   1.32  \n",
       "Helps Time Pass Quickly_change               33.56  33.98  27.86  \n",
       "Helps Time Pass Quickly_mean                  5.01   5.02   4.84  \n",
       "Helps Time Pass Quickly_sd                    1.30   1.33   1.37  \n",
       "Is Enjoyable_change                          47.32  43.12  41.05  \n",
       "Is Enjoyable_mean                             5.42   5.29   5.23  \n",
       "Is Enjoyable_sd                               1.29   1.36   1.37  \n",
       "Lets Me Daydream_change                      30.76  32.52  29.09  \n",
       "Lets Me Daydream_mean                         4.92   4.98   4.87  \n",
       "Lets Me Daydream_sd                           1.34   1.27   1.36  \n",
       "Makes Me Feel Good About Myself_change       30.88  33.55  25.74  \n",
       "Makes Me Feel Good About Myself_mean          4.93   5.01   4.77  \n",
       "Makes Me Feel Good About Myself_sd            1.25   1.28   1.35  \n",
       "Makes Me Want to Move_change                 25.37  27.93  22.73  \n",
       "Makes Me Want to Move_mean                    4.76   4.84   4.68  \n",
       "Makes Me Want to Move_sd                      1.28   1.34   1.38  \n",
       "Moves Me Emotionally_change                  27.01  32.95  26.62  \n",
       "Moves Me Emotionally_mean                     4.81   4.99   4.80  \n",
       "Moves Me Emotionally_sd                       1.22   1.30   1.34  \n",
       "Provides Comfort_change                      34.11  38.68  29.48  \n",
       "Provides Comfort_mean                         5.02   5.16   4.88  \n",
       "Provides Comfort_sd                           1.29   1.27   1.38  \n",
       "Provides a Good Background_change            39.92  37.38  31.84  \n",
       "Provides a Good Background_mean               5.20   5.12   4.96  \n",
       "Provides a Good Background_sd                 1.34   1.29   1.37  \n",
       "Provides a Spiritual Experience_change        6.44  24.78  14.98  \n",
       "Provides a Spiritual Experience_mean          4.19   4.74   4.45  \n",
       "Provides a Spiritual Experience_sd            1.23   1.31   1.37  \n",
       "Provides an Aesthetic Experience_change      14.33  28.65  15.54  \n",
       "Provides an Aesthetic Experience_mean         4.43   4.86   4.47  \n",
       "Provides an Aesthetic Experience_sd           1.23   1.25   1.34  \n",
       "Puts Me in a Good Mood_change                42.23  41.24  37.57  \n",
       "Puts Me in a Good Mood_mean                   5.27   5.24   5.13  \n",
       "Puts Me in a Good Mood_sd                     1.25   1.24   1.33  \n",
       "Reduces My Stress_change                     39.43  40.28  31.75  \n",
       "Reduces My Stress_mean                        5.18   5.21   4.95  \n",
       "Reduces My Stress_sd                          1.31   1.27   1.40  \n",
       "Reminiscent of Positive Times_change         36.07  38.15  30.91  \n",
       "Reminiscent of Positive Times_mean            5.08   5.14   4.93  \n",
       "Reminiscent of Positive Times_sd              1.35   1.31   1.38  \n",
       "Stimulates Me Intellectually_change          13.33  26.43  22.42  \n",
       "Stimulates Me Intellectually_mean             4.40   4.79   4.67  \n",
       "Stimulates Me Intellectually_sd               1.20   1.29   1.34  \n",
       "Supports Me in a Bad Mood_change             36.38  35.69  34.12  \n",
       "Supports Me in a Bad Mood_mean                5.09   5.07   5.02  \n",
       "Supports Me in a Bad Mood_sd                  1.29   1.30   1.37  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# music listening\n",
    "group_col = 'Country_Country Name'\n",
    "col_list = [col for col in data.columns if col.startswith('Music Listening_Functions')]\n",
    "listening = group_numeric(data, col_list, group_col, 1)\n",
    "listening.columns = listening.columns.str.split('Functions_').str[1]\n",
    "\n",
    "listening.transpose().round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>Country_Country Name</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Creates a Personal Space_change</th>\n",
       "      <td>11.90</td>\n",
       "      <td>15.86</td>\n",
       "      <td>48.51</td>\n",
       "      <td>22.94</td>\n",
       "      <td>23.01</td>\n",
       "      <td>29.88</td>\n",
       "      <td>28.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Creates a Personal Space_mean</th>\n",
       "      <td>4.36</td>\n",
       "      <td>4.48</td>\n",
       "      <td>5.46</td>\n",
       "      <td>4.69</td>\n",
       "      <td>4.69</td>\n",
       "      <td>4.90</td>\n",
       "      <td>4.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Creates a Personal Space_sd</th>\n",
       "      <td>1.18</td>\n",
       "      <td>1.17</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.48</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enables Me to Vent Negative Emotions_change</th>\n",
       "      <td>21.34</td>\n",
       "      <td>17.32</td>\n",
       "      <td>50.16</td>\n",
       "      <td>35.30</td>\n",
       "      <td>22.90</td>\n",
       "      <td>27.68</td>\n",
       "      <td>31.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enables Me to Vent Negative Emotions_mean</th>\n",
       "      <td>4.64</td>\n",
       "      <td>4.52</td>\n",
       "      <td>5.50</td>\n",
       "      <td>5.06</td>\n",
       "      <td>4.69</td>\n",
       "      <td>4.83</td>\n",
       "      <td>4.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enables Me to Vent Negative Emotions_sd</th>\n",
       "      <td>1.30</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.54</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Energizes Me_change</th>\n",
       "      <td>25.07</td>\n",
       "      <td>21.61</td>\n",
       "      <td>53.78</td>\n",
       "      <td>41.13</td>\n",
       "      <td>24.93</td>\n",
       "      <td>31.65</td>\n",
       "      <td>35.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Energizes Me_mean</th>\n",
       "      <td>4.75</td>\n",
       "      <td>4.65</td>\n",
       "      <td>5.61</td>\n",
       "      <td>5.23</td>\n",
       "      <td>4.75</td>\n",
       "      <td>4.95</td>\n",
       "      <td>5.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Energizes Me_sd</th>\n",
       "      <td>1.23</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Connected to My Culture_change</th>\n",
       "      <td>9.84</td>\n",
       "      <td>10.82</td>\n",
       "      <td>49.22</td>\n",
       "      <td>17.09</td>\n",
       "      <td>7.02</td>\n",
       "      <td>23.33</td>\n",
       "      <td>23.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Connected to My Culture_mean</th>\n",
       "      <td>4.30</td>\n",
       "      <td>4.32</td>\n",
       "      <td>5.48</td>\n",
       "      <td>4.51</td>\n",
       "      <td>4.21</td>\n",
       "      <td>4.70</td>\n",
       "      <td>4.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Connected to My Culture_sd</th>\n",
       "      <td>1.07</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.46</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.12</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Less Lonely_change</th>\n",
       "      <td>9.12</td>\n",
       "      <td>11.43</td>\n",
       "      <td>48.97</td>\n",
       "      <td>24.37</td>\n",
       "      <td>19.70</td>\n",
       "      <td>27.09</td>\n",
       "      <td>26.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Less Lonely_mean</th>\n",
       "      <td>4.27</td>\n",
       "      <td>4.34</td>\n",
       "      <td>5.47</td>\n",
       "      <td>4.73</td>\n",
       "      <td>4.59</td>\n",
       "      <td>4.81</td>\n",
       "      <td>4.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Less Lonely_sd</th>\n",
       "      <td>1.25</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1.55</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.36</td>\n",
       "      <td>1.36</td>\n",
       "      <td>1.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Am Sharing My Experience_change</th>\n",
       "      <td>8.55</td>\n",
       "      <td>10.93</td>\n",
       "      <td>48.37</td>\n",
       "      <td>17.46</td>\n",
       "      <td>11.09</td>\n",
       "      <td>24.50</td>\n",
       "      <td>23.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Am Sharing My Experience_mean</th>\n",
       "      <td>4.26</td>\n",
       "      <td>4.33</td>\n",
       "      <td>5.45</td>\n",
       "      <td>4.52</td>\n",
       "      <td>4.33</td>\n",
       "      <td>4.74</td>\n",
       "      <td>4.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Am Sharing My Experience_sd</th>\n",
       "      <td>1.18</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Have Company_change</th>\n",
       "      <td>8.91</td>\n",
       "      <td>11.94</td>\n",
       "      <td>50.21</td>\n",
       "      <td>15.59</td>\n",
       "      <td>18.39</td>\n",
       "      <td>25.15</td>\n",
       "      <td>25.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Have Company_mean</th>\n",
       "      <td>4.27</td>\n",
       "      <td>4.36</td>\n",
       "      <td>5.51</td>\n",
       "      <td>4.47</td>\n",
       "      <td>4.55</td>\n",
       "      <td>4.75</td>\n",
       "      <td>4.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Have Company_sd</th>\n",
       "      <td>1.16</td>\n",
       "      <td>1.11</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Understand Others_change</th>\n",
       "      <td>6.31</td>\n",
       "      <td>7.90</td>\n",
       "      <td>47.25</td>\n",
       "      <td>15.65</td>\n",
       "      <td>6.59</td>\n",
       "      <td>23.33</td>\n",
       "      <td>21.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Understand Others_mean</th>\n",
       "      <td>4.19</td>\n",
       "      <td>4.24</td>\n",
       "      <td>5.42</td>\n",
       "      <td>4.47</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.70</td>\n",
       "      <td>4.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Understand Others_sd</th>\n",
       "      <td>1.06</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.46</td>\n",
       "      <td>1.17</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like Part of a Bigger Group_change</th>\n",
       "      <td>4.81</td>\n",
       "      <td>6.69</td>\n",
       "      <td>43.33</td>\n",
       "      <td>12.94</td>\n",
       "      <td>7.42</td>\n",
       "      <td>22.03</td>\n",
       "      <td>19.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like Part of a Bigger Group_mean</th>\n",
       "      <td>4.14</td>\n",
       "      <td>4.20</td>\n",
       "      <td>5.30</td>\n",
       "      <td>4.39</td>\n",
       "      <td>4.22</td>\n",
       "      <td>4.66</td>\n",
       "      <td>4.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like Part of a Bigger Group_sd</th>\n",
       "      <td>1.08</td>\n",
       "      <td>1.18</td>\n",
       "      <td>1.64</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.18</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Me New Perspectives_change</th>\n",
       "      <td>8.87</td>\n",
       "      <td>11.04</td>\n",
       "      <td>48.90</td>\n",
       "      <td>21.91</td>\n",
       "      <td>8.93</td>\n",
       "      <td>23.69</td>\n",
       "      <td>23.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Me New Perspectives_mean</th>\n",
       "      <td>4.27</td>\n",
       "      <td>4.33</td>\n",
       "      <td>5.47</td>\n",
       "      <td>4.66</td>\n",
       "      <td>4.27</td>\n",
       "      <td>4.71</td>\n",
       "      <td>4.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Me New Perspectives_sd</th>\n",
       "      <td>1.16</td>\n",
       "      <td>1.17</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.42</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Me Sense of Control_change</th>\n",
       "      <td>8.66</td>\n",
       "      <td>7.19</td>\n",
       "      <td>47.76</td>\n",
       "      <td>20.24</td>\n",
       "      <td>16.30</td>\n",
       "      <td>25.77</td>\n",
       "      <td>24.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Me Sense of Control_mean</th>\n",
       "      <td>4.26</td>\n",
       "      <td>4.22</td>\n",
       "      <td>5.43</td>\n",
       "      <td>4.61</td>\n",
       "      <td>4.49</td>\n",
       "      <td>4.77</td>\n",
       "      <td>4.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Me Sense of Control_sd</th>\n",
       "      <td>1.14</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1.40</td>\n",
       "      <td>1.37</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Meaning to My Life_change</th>\n",
       "      <td>9.50</td>\n",
       "      <td>8.82</td>\n",
       "      <td>46.07</td>\n",
       "      <td>18.26</td>\n",
       "      <td>12.90</td>\n",
       "      <td>26.76</td>\n",
       "      <td>24.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Meaning to My Life_mean</th>\n",
       "      <td>4.28</td>\n",
       "      <td>4.26</td>\n",
       "      <td>5.38</td>\n",
       "      <td>4.55</td>\n",
       "      <td>4.39</td>\n",
       "      <td>4.80</td>\n",
       "      <td>4.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Meaning to My Life_sd</th>\n",
       "      <td>1.19</td>\n",
       "      <td>1.18</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Distract Me_change</th>\n",
       "      <td>22.60</td>\n",
       "      <td>20.39</td>\n",
       "      <td>51.90</td>\n",
       "      <td>37.62</td>\n",
       "      <td>31.38</td>\n",
       "      <td>33.54</td>\n",
       "      <td>35.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Distract Me_mean</th>\n",
       "      <td>4.68</td>\n",
       "      <td>4.61</td>\n",
       "      <td>5.56</td>\n",
       "      <td>5.13</td>\n",
       "      <td>4.94</td>\n",
       "      <td>5.01</td>\n",
       "      <td>5.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Distract Me_sd</th>\n",
       "      <td>1.30</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.42</td>\n",
       "      <td>1.42</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Keep a Routine_change</th>\n",
       "      <td>13.81</td>\n",
       "      <td>12.47</td>\n",
       "      <td>49.19</td>\n",
       "      <td>28.97</td>\n",
       "      <td>7.74</td>\n",
       "      <td>24.27</td>\n",
       "      <td>25.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Keep a Routine_mean</th>\n",
       "      <td>4.41</td>\n",
       "      <td>4.37</td>\n",
       "      <td>5.48</td>\n",
       "      <td>4.87</td>\n",
       "      <td>4.23</td>\n",
       "      <td>4.73</td>\n",
       "      <td>4.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Keep a Routine_sd</th>\n",
       "      <td>1.11</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.46</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.33</td>\n",
       "      <td>1.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Accept My Situation_change</th>\n",
       "      <td>11.64</td>\n",
       "      <td>12.75</td>\n",
       "      <td>48.40</td>\n",
       "      <td>21.23</td>\n",
       "      <td>14.30</td>\n",
       "      <td>25.85</td>\n",
       "      <td>25.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Accept My Situation_mean</th>\n",
       "      <td>4.35</td>\n",
       "      <td>4.38</td>\n",
       "      <td>5.45</td>\n",
       "      <td>4.64</td>\n",
       "      <td>4.43</td>\n",
       "      <td>4.78</td>\n",
       "      <td>4.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Accept My Situation_sd</th>\n",
       "      <td>1.14</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1.16</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Concentrate_change</th>\n",
       "      <td>12.31</td>\n",
       "      <td>12.94</td>\n",
       "      <td>50.05</td>\n",
       "      <td>22.35</td>\n",
       "      <td>17.45</td>\n",
       "      <td>26.03</td>\n",
       "      <td>26.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Concentrate_mean</th>\n",
       "      <td>4.37</td>\n",
       "      <td>4.39</td>\n",
       "      <td>5.50</td>\n",
       "      <td>4.67</td>\n",
       "      <td>4.52</td>\n",
       "      <td>4.78</td>\n",
       "      <td>4.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Concentrate_sd</th>\n",
       "      <td>1.18</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Dwell on My Worries_change</th>\n",
       "      <td>14.82</td>\n",
       "      <td>9.48</td>\n",
       "      <td>45.63</td>\n",
       "      <td>26.14</td>\n",
       "      <td>-9.57</td>\n",
       "      <td>11.26</td>\n",
       "      <td>18.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Dwell on My Worries_mean</th>\n",
       "      <td>4.44</td>\n",
       "      <td>4.28</td>\n",
       "      <td>5.37</td>\n",
       "      <td>4.78</td>\n",
       "      <td>3.71</td>\n",
       "      <td>4.34</td>\n",
       "      <td>4.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Dwell on My Worries_sd</th>\n",
       "      <td>1.23</td>\n",
       "      <td>1.18</td>\n",
       "      <td>1.55</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.48</td>\n",
       "      <td>1.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Express My Identity_change</th>\n",
       "      <td>11.73</td>\n",
       "      <td>8.17</td>\n",
       "      <td>42.63</td>\n",
       "      <td>21.36</td>\n",
       "      <td>8.76</td>\n",
       "      <td>24.07</td>\n",
       "      <td>22.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Express My Identity_mean</th>\n",
       "      <td>4.35</td>\n",
       "      <td>4.25</td>\n",
       "      <td>5.28</td>\n",
       "      <td>4.64</td>\n",
       "      <td>4.26</td>\n",
       "      <td>4.72</td>\n",
       "      <td>4.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Express My Identity_sd</th>\n",
       "      <td>1.23</td>\n",
       "      <td>1.16</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.40</td>\n",
       "      <td>1.07</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Fall Asleep_change</th>\n",
       "      <td>5.04</td>\n",
       "      <td>3.13</td>\n",
       "      <td>40.84</td>\n",
       "      <td>7.89</td>\n",
       "      <td>5.64</td>\n",
       "      <td>17.02</td>\n",
       "      <td>16.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Fall Asleep_mean</th>\n",
       "      <td>4.15</td>\n",
       "      <td>4.09</td>\n",
       "      <td>5.23</td>\n",
       "      <td>4.24</td>\n",
       "      <td>4.17</td>\n",
       "      <td>4.51</td>\n",
       "      <td>4.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Fall Asleep_sd</th>\n",
       "      <td>1.11</td>\n",
       "      <td>1.05</td>\n",
       "      <td>1.55</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Identify with the Artist_change</th>\n",
       "      <td>3.55</td>\n",
       "      <td>6.99</td>\n",
       "      <td>43.79</td>\n",
       "      <td>10.83</td>\n",
       "      <td>2.31</td>\n",
       "      <td>19.19</td>\n",
       "      <td>18.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Identify with the Artist_mean</th>\n",
       "      <td>4.11</td>\n",
       "      <td>4.21</td>\n",
       "      <td>5.31</td>\n",
       "      <td>4.32</td>\n",
       "      <td>4.07</td>\n",
       "      <td>4.58</td>\n",
       "      <td>4.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Identify with the Artist_sd</th>\n",
       "      <td>1.16</td>\n",
       "      <td>1.24</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.40</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Relax_change</th>\n",
       "      <td>25.02</td>\n",
       "      <td>21.33</td>\n",
       "      <td>57.29</td>\n",
       "      <td>40.76</td>\n",
       "      <td>31.12</td>\n",
       "      <td>37.28</td>\n",
       "      <td>38.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Relax_mean</th>\n",
       "      <td>4.75</td>\n",
       "      <td>4.64</td>\n",
       "      <td>5.72</td>\n",
       "      <td>5.22</td>\n",
       "      <td>4.93</td>\n",
       "      <td>5.12</td>\n",
       "      <td>5.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Relax_sd</th>\n",
       "      <td>1.27</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.40</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Understand My Feelings_change</th>\n",
       "      <td>9.26</td>\n",
       "      <td>8.55</td>\n",
       "      <td>50.80</td>\n",
       "      <td>21.66</td>\n",
       "      <td>13.81</td>\n",
       "      <td>26.30</td>\n",
       "      <td>25.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Understand My Feelings_mean</th>\n",
       "      <td>4.28</td>\n",
       "      <td>4.26</td>\n",
       "      <td>5.52</td>\n",
       "      <td>4.65</td>\n",
       "      <td>4.41</td>\n",
       "      <td>4.79</td>\n",
       "      <td>4.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Understand My Feelings_sd</th>\n",
       "      <td>1.23</td>\n",
       "      <td>1.16</td>\n",
       "      <td>1.37</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1.24</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Time Pass Quickly_change</th>\n",
       "      <td>17.89</td>\n",
       "      <td>12.01</td>\n",
       "      <td>54.35</td>\n",
       "      <td>23.26</td>\n",
       "      <td>26.81</td>\n",
       "      <td>30.84</td>\n",
       "      <td>31.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Time Pass Quickly_mean</th>\n",
       "      <td>4.54</td>\n",
       "      <td>4.36</td>\n",
       "      <td>5.63</td>\n",
       "      <td>4.70</td>\n",
       "      <td>4.80</td>\n",
       "      <td>4.93</td>\n",
       "      <td>4.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Time Pass Quickly_sd</th>\n",
       "      <td>1.27</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.50</td>\n",
       "      <td>1.33</td>\n",
       "      <td>1.33</td>\n",
       "      <td>1.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Is Enjoyable_change</th>\n",
       "      <td>29.16</td>\n",
       "      <td>23.87</td>\n",
       "      <td>59.87</td>\n",
       "      <td>43.73</td>\n",
       "      <td>39.47</td>\n",
       "      <td>39.68</td>\n",
       "      <td>42.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Is Enjoyable_mean</th>\n",
       "      <td>4.87</td>\n",
       "      <td>4.72</td>\n",
       "      <td>5.80</td>\n",
       "      <td>5.31</td>\n",
       "      <td>5.18</td>\n",
       "      <td>5.19</td>\n",
       "      <td>5.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Is Enjoyable_sd</th>\n",
       "      <td>1.30</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1.40</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lets Me Daydream_change</th>\n",
       "      <td>19.60</td>\n",
       "      <td>16.40</td>\n",
       "      <td>45.42</td>\n",
       "      <td>32.87</td>\n",
       "      <td>24.41</td>\n",
       "      <td>27.85</td>\n",
       "      <td>29.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lets Me Daydream_mean</th>\n",
       "      <td>4.59</td>\n",
       "      <td>4.49</td>\n",
       "      <td>5.36</td>\n",
       "      <td>4.99</td>\n",
       "      <td>4.73</td>\n",
       "      <td>4.84</td>\n",
       "      <td>4.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lets Me Daydream_sd</th>\n",
       "      <td>1.30</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.42</td>\n",
       "      <td>1.24</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Makes Me Feel Good About Myself_change</th>\n",
       "      <td>17.46</td>\n",
       "      <td>13.25</td>\n",
       "      <td>53.96</td>\n",
       "      <td>21.10</td>\n",
       "      <td>29.34</td>\n",
       "      <td>30.40</td>\n",
       "      <td>31.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Makes Me Feel Good About Myself_mean</th>\n",
       "      <td>4.52</td>\n",
       "      <td>4.40</td>\n",
       "      <td>5.62</td>\n",
       "      <td>4.63</td>\n",
       "      <td>4.88</td>\n",
       "      <td>4.91</td>\n",
       "      <td>4.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Makes Me Feel Good About Myself_sd</th>\n",
       "      <td>1.12</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Makes Me Want to Move_change</th>\n",
       "      <td>16.36</td>\n",
       "      <td>14.04</td>\n",
       "      <td>40.94</td>\n",
       "      <td>21.20</td>\n",
       "      <td>19.82</td>\n",
       "      <td>26.84</td>\n",
       "      <td>25.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Makes Me Want to Move_mean</th>\n",
       "      <td>4.49</td>\n",
       "      <td>4.42</td>\n",
       "      <td>5.23</td>\n",
       "      <td>4.64</td>\n",
       "      <td>4.59</td>\n",
       "      <td>4.81</td>\n",
       "      <td>4.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Makes Me Want to Move_sd</th>\n",
       "      <td>1.25</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1.60</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moves Me Emotionally_change</th>\n",
       "      <td>21.46</td>\n",
       "      <td>14.56</td>\n",
       "      <td>46.72</td>\n",
       "      <td>26.20</td>\n",
       "      <td>22.31</td>\n",
       "      <td>30.09</td>\n",
       "      <td>29.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moves Me Emotionally_mean</th>\n",
       "      <td>4.64</td>\n",
       "      <td>4.44</td>\n",
       "      <td>5.40</td>\n",
       "      <td>4.79</td>\n",
       "      <td>4.67</td>\n",
       "      <td>4.90</td>\n",
       "      <td>4.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moves Me Emotionally_sd</th>\n",
       "      <td>1.24</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.54</td>\n",
       "      <td>1.24</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides Comfort_change</th>\n",
       "      <td>20.61</td>\n",
       "      <td>15.15</td>\n",
       "      <td>54.67</td>\n",
       "      <td>32.50</td>\n",
       "      <td>29.67</td>\n",
       "      <td>36.84</td>\n",
       "      <td>35.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides Comfort_mean</th>\n",
       "      <td>4.62</td>\n",
       "      <td>4.45</td>\n",
       "      <td>5.64</td>\n",
       "      <td>4.97</td>\n",
       "      <td>4.89</td>\n",
       "      <td>5.11</td>\n",
       "      <td>5.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides Comfort_sd</th>\n",
       "      <td>1.24</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.51</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides a Good Background_change</th>\n",
       "      <td>18.72</td>\n",
       "      <td>16.88</td>\n",
       "      <td>53.29</td>\n",
       "      <td>36.78</td>\n",
       "      <td>28.14</td>\n",
       "      <td>33.33</td>\n",
       "      <td>34.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides a Good Background_mean</th>\n",
       "      <td>4.56</td>\n",
       "      <td>4.51</td>\n",
       "      <td>5.60</td>\n",
       "      <td>5.10</td>\n",
       "      <td>4.84</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides a Good Background_sd</th>\n",
       "      <td>1.23</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.40</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides a Spiritual Experience_change</th>\n",
       "      <td>4.36</td>\n",
       "      <td>4.51</td>\n",
       "      <td>45.29</td>\n",
       "      <td>11.14</td>\n",
       "      <td>3.39</td>\n",
       "      <td>23.09</td>\n",
       "      <td>19.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides a Spiritual Experience_mean</th>\n",
       "      <td>4.13</td>\n",
       "      <td>4.14</td>\n",
       "      <td>5.36</td>\n",
       "      <td>4.33</td>\n",
       "      <td>4.10</td>\n",
       "      <td>4.69</td>\n",
       "      <td>4.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides a Spiritual Experience_sd</th>\n",
       "      <td>1.22</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.55</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.13</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides an Aesthetic Experience_change</th>\n",
       "      <td>3.37</td>\n",
       "      <td>8.06</td>\n",
       "      <td>48.84</td>\n",
       "      <td>9.90</td>\n",
       "      <td>12.61</td>\n",
       "      <td>29.92</td>\n",
       "      <td>23.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides an Aesthetic Experience_mean</th>\n",
       "      <td>4.10</td>\n",
       "      <td>4.24</td>\n",
       "      <td>5.47</td>\n",
       "      <td>4.30</td>\n",
       "      <td>4.38</td>\n",
       "      <td>4.90</td>\n",
       "      <td>4.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides an Aesthetic Experience_sd</th>\n",
       "      <td>1.15</td>\n",
       "      <td>1.07</td>\n",
       "      <td>1.48</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.12</td>\n",
       "      <td>1.22</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Puts Me in a Good Mood_change</th>\n",
       "      <td>25.46</td>\n",
       "      <td>22.80</td>\n",
       "      <td>54.46</td>\n",
       "      <td>33.80</td>\n",
       "      <td>30.08</td>\n",
       "      <td>34.95</td>\n",
       "      <td>36.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Puts Me in a Good Mood_mean</th>\n",
       "      <td>4.76</td>\n",
       "      <td>4.68</td>\n",
       "      <td>5.63</td>\n",
       "      <td>5.01</td>\n",
       "      <td>4.90</td>\n",
       "      <td>5.05</td>\n",
       "      <td>5.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Puts Me in a Good Mood_sd</th>\n",
       "      <td>1.27</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.58</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.33</td>\n",
       "      <td>1.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reduces My Stress_change</th>\n",
       "      <td>17.71</td>\n",
       "      <td>16.99</td>\n",
       "      <td>57.65</td>\n",
       "      <td>33.15</td>\n",
       "      <td>34.25</td>\n",
       "      <td>37.88</td>\n",
       "      <td>36.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reduces My Stress_mean</th>\n",
       "      <td>4.53</td>\n",
       "      <td>4.51</td>\n",
       "      <td>5.73</td>\n",
       "      <td>4.99</td>\n",
       "      <td>5.03</td>\n",
       "      <td>5.14</td>\n",
       "      <td>5.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reduces My Stress_sd</th>\n",
       "      <td>1.31</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.48</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reminiscent of Positive Times_change</th>\n",
       "      <td>20.53</td>\n",
       "      <td>17.63</td>\n",
       "      <td>48.40</td>\n",
       "      <td>26.78</td>\n",
       "      <td>28.67</td>\n",
       "      <td>32.67</td>\n",
       "      <td>32.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reminiscent of Positive Times_mean</th>\n",
       "      <td>4.62</td>\n",
       "      <td>4.53</td>\n",
       "      <td>5.45</td>\n",
       "      <td>4.80</td>\n",
       "      <td>4.86</td>\n",
       "      <td>4.98</td>\n",
       "      <td>4.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reminiscent of Positive Times_sd</th>\n",
       "      <td>1.20</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.55</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stimulates Me Intellectually_change</th>\n",
       "      <td>14.90</td>\n",
       "      <td>13.25</td>\n",
       "      <td>45.18</td>\n",
       "      <td>31.19</td>\n",
       "      <td>9.44</td>\n",
       "      <td>24.63</td>\n",
       "      <td>25.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stimulates Me Intellectually_mean</th>\n",
       "      <td>4.45</td>\n",
       "      <td>4.40</td>\n",
       "      <td>5.36</td>\n",
       "      <td>4.94</td>\n",
       "      <td>4.28</td>\n",
       "      <td>4.74</td>\n",
       "      <td>4.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stimulates Me Intellectually_sd</th>\n",
       "      <td>1.16</td>\n",
       "      <td>1.12</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Supports Me in a Bad Mood_change</th>\n",
       "      <td>22.43</td>\n",
       "      <td>20.24</td>\n",
       "      <td>49.55</td>\n",
       "      <td>36.03</td>\n",
       "      <td>26.85</td>\n",
       "      <td>33.54</td>\n",
       "      <td>33.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Supports Me in a Bad Mood_mean</th>\n",
       "      <td>4.67</td>\n",
       "      <td>4.61</td>\n",
       "      <td>5.49</td>\n",
       "      <td>5.08</td>\n",
       "      <td>4.81</td>\n",
       "      <td>5.01</td>\n",
       "      <td>5.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Supports Me in a Bad Mood_sd</th>\n",
       "      <td>1.21</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.47</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country_Country Name                         France  Germany  India  Italy  \\\n",
       "Creates a Personal Space_change               11.90    15.86  48.51  22.94   \n",
       "Creates a Personal Space_mean                  4.36     4.48   5.46   4.69   \n",
       "Creates a Personal Space_sd                    1.18     1.17   1.43   1.48   \n",
       "Enables Me to Vent Negative Emotions_change   21.34    17.32  50.16  35.30   \n",
       "Enables Me to Vent Negative Emotions_mean      4.64     4.52   5.50   5.06   \n",
       "Enables Me to Vent Negative Emotions_sd        1.30     1.23   1.44   1.54   \n",
       "Energizes Me_change                           25.07    21.61  53.78  41.13   \n",
       "Energizes Me_mean                              4.75     4.65   5.61   5.23   \n",
       "Energizes Me_sd                                1.23     1.15   1.35   1.47   \n",
       "Feel Connected to My Culture_change            9.84    10.82  49.22  17.09   \n",
       "Feel Connected to My Culture_mean              4.30     4.32   5.48   4.51   \n",
       "Feel Connected to My Culture_sd                1.07     1.21   1.46   1.41   \n",
       "Feel Less Lonely_change                        9.12    11.43  48.97  24.37   \n",
       "Feel Less Lonely_mean                          4.27     4.34   5.47   4.73   \n",
       "Feel Less Lonely_sd                            1.25     1.20   1.55   1.49   \n",
       "Feel Like I Am Sharing My Experience_change    8.55    10.93  48.37  17.46   \n",
       "Feel Like I Am Sharing My Experience_mean      4.26     4.33   5.45   4.52   \n",
       "Feel Like I Am Sharing My Experience_sd        1.18     1.25   1.49   1.51   \n",
       "Feel Like I Have Company_change                8.91    11.94  50.21  15.59   \n",
       "Feel Like I Have Company_mean                  4.27     4.36   5.51   4.47   \n",
       "Feel Like I Have Company_sd                    1.16     1.11   1.51   1.43   \n",
       "Feel Like I Understand Others_change           6.31     7.90  47.25  15.65   \n",
       "Feel Like I Understand Others_mean             4.19     4.24   5.42   4.47   \n",
       "Feel Like I Understand Others_sd               1.06     1.20   1.49   1.46   \n",
       "Feel Like Part of a Bigger Group_change        4.81     6.69  43.33  12.94   \n",
       "Feel Like Part of a Bigger Group_mean          4.14     4.20   5.30   4.39   \n",
       "Feel Like Part of a Bigger Group_sd            1.08     1.18   1.64   1.44   \n",
       "Gives Me New Perspectives_change               8.87    11.04  48.90  21.91   \n",
       "Gives Me New Perspectives_mean                 4.27     4.33   5.47   4.66   \n",
       "Gives Me New Perspectives_sd                   1.16     1.17   1.49   1.42   \n",
       "Gives Me Sense of Control_change               8.66     7.19  47.76  20.24   \n",
       "Gives Me Sense of Control_mean                 4.26     4.22   5.43   4.61   \n",
       "Gives Me Sense of Control_sd                   1.14     1.20   1.40   1.37   \n",
       "Gives Meaning to My Life_change                9.50     8.82  46.07  18.26   \n",
       "Gives Meaning to My Life_mean                  4.28     4.26   5.38   4.55   \n",
       "Gives Meaning to My Life_sd                    1.19     1.18   1.45   1.41   \n",
       "Helps Distract Me_change                      22.60    20.39  51.90  37.62   \n",
       "Helps Distract Me_mean                         4.68     4.61   5.56   5.13   \n",
       "Helps Distract Me_sd                           1.30     1.21   1.42   1.42   \n",
       "Helps Keep a Routine_change                   13.81    12.47  49.19  28.97   \n",
       "Helps Keep a Routine_mean                      4.41     4.37   5.48   4.87   \n",
       "Helps Keep a Routine_sd                        1.11     1.19   1.43   1.46   \n",
       "Helps Me Accept My Situation_change           11.64    12.75  48.40  21.23   \n",
       "Helps Me Accept My Situation_mean              4.35     4.38   5.45   4.64   \n",
       "Helps Me Accept My Situation_sd                1.14     1.21   1.45   1.47   \n",
       "Helps Me Concentrate_change                   12.31    12.94  50.05  22.35   \n",
       "Helps Me Concentrate_mean                      4.37     4.39   5.50   4.67   \n",
       "Helps Me Concentrate_sd                        1.18     1.20   1.45   1.43   \n",
       "Helps Me Dwell on My Worries_change           14.82     9.48  45.63  26.14   \n",
       "Helps Me Dwell on My Worries_mean              4.44     4.28   5.37   4.78   \n",
       "Helps Me Dwell on My Worries_sd                1.23     1.18   1.55   1.53   \n",
       "Helps Me Express My Identity_change           11.73     8.17  42.63  21.36   \n",
       "Helps Me Express My Identity_mean              4.35     4.25   5.28   4.64   \n",
       "Helps Me Express My Identity_sd                1.23     1.16   1.53   1.40   \n",
       "Helps Me Fall Asleep_change                    5.04     3.13  40.84   7.89   \n",
       "Helps Me Fall Asleep_mean                      4.15     4.09   5.23   4.24   \n",
       "Helps Me Fall Asleep_sd                        1.11     1.05   1.55   1.35   \n",
       "Helps Me Identify with the Artist_change       3.55     6.99  43.79  10.83   \n",
       "Helps Me Identify with the Artist_mean         4.11     4.21   5.31   4.32   \n",
       "Helps Me Identify with the Artist_sd           1.16     1.24   1.51   1.40   \n",
       "Helps Me Relax_change                         25.02    21.33  57.29  40.76   \n",
       "Helps Me Relax_mean                            4.75     4.64   5.72   5.22   \n",
       "Helps Me Relax_sd                              1.27     1.21   1.40   1.45   \n",
       "Helps Me Understand My Feelings_change         9.26     8.55  50.80  21.66   \n",
       "Helps Me Understand My Feelings_mean           4.28     4.26   5.52   4.65   \n",
       "Helps Me Understand My Feelings_sd             1.23     1.16   1.37   1.49   \n",
       "Helps Time Pass Quickly_change                17.89    12.01  54.35  23.26   \n",
       "Helps Time Pass Quickly_mean                   4.54     4.36   5.63   4.70   \n",
       "Helps Time Pass Quickly_sd                     1.27     1.25   1.44   1.50   \n",
       "Is Enjoyable_change                           29.16    23.87  59.87  43.73   \n",
       "Is Enjoyable_mean                              4.87     4.72   5.80   5.31   \n",
       "Is Enjoyable_sd                                1.30     1.34   1.40   1.47   \n",
       "Lets Me Daydream_change                       19.60    16.40  45.42  32.87   \n",
       "Lets Me Daydream_mean                          4.59     4.49   5.36   4.99   \n",
       "Lets Me Daydream_sd                            1.30     1.26   1.49   1.42   \n",
       "Makes Me Feel Good About Myself_change        17.46    13.25  53.96  21.10   \n",
       "Makes Me Feel Good About Myself_mean           4.52     4.40   5.62   4.63   \n",
       "Makes Me Feel Good About Myself_sd             1.12     1.20   1.44   1.47   \n",
       "Makes Me Want to Move_change                  16.36    14.04  40.94  21.20   \n",
       "Makes Me Want to Move_mean                     4.49     4.42   5.23   4.64   \n",
       "Makes Me Want to Move_sd                       1.25     1.20   1.60   1.49   \n",
       "Moves Me Emotionally_change                   21.46    14.56  46.72  26.20   \n",
       "Moves Me Emotionally_mean                      4.64     4.44   5.40   4.79   \n",
       "Moves Me Emotionally_sd                        1.24     1.21   1.51   1.54   \n",
       "Provides Comfort_change                       20.61    15.15  54.67  32.50   \n",
       "Provides Comfort_mean                          4.62     4.45   5.64   4.97   \n",
       "Provides Comfort_sd                            1.24     1.29   1.43   1.51   \n",
       "Provides a Good Background_change             18.72    16.88  53.29  36.78   \n",
       "Provides a Good Background_mean                4.56     4.51   5.60   5.10   \n",
       "Provides a Good Background_sd                  1.23     1.19   1.40   1.44   \n",
       "Provides a Spiritual Experience_change         4.36     4.51  45.29  11.14   \n",
       "Provides a Spiritual Experience_mean           4.13     4.14   5.36   4.33   \n",
       "Provides a Spiritual Experience_sd             1.22     1.19   1.55   1.45   \n",
       "Provides an Aesthetic Experience_change        3.37     8.06  48.84   9.90   \n",
       "Provides an Aesthetic Experience_mean          4.10     4.24   5.47   4.30   \n",
       "Provides an Aesthetic Experience_sd            1.15     1.07   1.48   1.44   \n",
       "Puts Me in a Good Mood_change                 25.46    22.80  54.46  33.80   \n",
       "Puts Me in a Good Mood_mean                    4.76     4.68   5.63   5.01   \n",
       "Puts Me in a Good Mood_sd                      1.27     1.28   1.58   1.44   \n",
       "Reduces My Stress_change                      17.71    16.99  57.65  33.15   \n",
       "Reduces My Stress_mean                         4.53     4.51   5.73   4.99   \n",
       "Reduces My Stress_sd                           1.31     1.25   1.43   1.48   \n",
       "Reminiscent of Positive Times_change          20.53    17.63  48.40  26.78   \n",
       "Reminiscent of Positive Times_mean             4.62     4.53   5.45   4.80   \n",
       "Reminiscent of Positive Times_sd               1.20     1.29   1.44   1.55   \n",
       "Stimulates Me Intellectually_change           14.90    13.25  45.18  31.19   \n",
       "Stimulates Me Intellectually_mean              4.45     4.40   5.36   4.94   \n",
       "Stimulates Me Intellectually_sd                1.16     1.12   1.45   1.47   \n",
       "Supports Me in a Bad Mood_change              22.43    20.24  49.55  36.03   \n",
       "Supports Me in a Bad Mood_mean                 4.67     4.61   5.49   5.08   \n",
       "Supports Me in a Bad Mood_sd                   1.21     1.20   1.43   1.47   \n",
       "\n",
       "Country_Country Name                            UK    USA  TOTAL  \n",
       "Creates a Personal Space_change              23.01  29.88  28.73  \n",
       "Creates a Personal Space_mean                 4.69   4.90   4.86  \n",
       "Creates a Personal Space_sd                   1.25   1.31   1.38  \n",
       "Enables Me to Vent Negative Emotions_change  22.90  27.68  31.46  \n",
       "Enables Me to Vent Negative Emotions_mean     4.69   4.83   4.94  \n",
       "Enables Me to Vent Negative Emotions_sd       1.31   1.35   1.42  \n",
       "Energizes Me_change                          24.93  31.65  35.26  \n",
       "Energizes Me_mean                             4.75   4.95   5.06  \n",
       "Energizes Me_sd                               1.29   1.28   1.35  \n",
       "Feel Connected to My Culture_change           7.02  23.33  23.12  \n",
       "Feel Connected to My Culture_mean             4.21   4.70   4.69  \n",
       "Feel Connected to My Culture_sd               1.12   1.31   1.38  \n",
       "Feel Less Lonely_change                      19.70  27.09  26.96  \n",
       "Feel Less Lonely_mean                         4.59   4.81   4.81  \n",
       "Feel Less Lonely_sd                           1.36   1.36   1.46  \n",
       "Feel Like I Am Sharing My Experience_change  11.09  24.50  23.77  \n",
       "Feel Like I Am Sharing My Experience_mean     4.33   4.74   4.71  \n",
       "Feel Like I Am Sharing My Experience_sd       1.30   1.31   1.43  \n",
       "Feel Like I Have Company_change              18.39  25.15  25.58  \n",
       "Feel Like I Have Company_mean                 4.55   4.75   4.77  \n",
       "Feel Like I Have Company_sd                   1.28   1.26   1.40  \n",
       "Feel Like I Understand Others_change          6.59  23.33  21.60  \n",
       "Feel Like I Understand Others_mean            4.20   4.70   4.65  \n",
       "Feel Like I Understand Others_sd              1.17   1.25   1.39  \n",
       "Feel Like Part of a Bigger Group_change       7.42  22.03  19.76  \n",
       "Feel Like Part of a Bigger Group_mean         4.22   4.66   4.59  \n",
       "Feel Like Part of a Bigger Group_sd           1.18   1.29   1.42  \n",
       "Gives Me New Perspectives_change              8.93  23.69  23.95  \n",
       "Gives Me New Perspectives_mean                4.27   4.71   4.72  \n",
       "Gives Me New Perspectives_sd                  1.15   1.28   1.39  \n",
       "Gives Me Sense of Control_change             16.30  25.77  24.86  \n",
       "Gives Me Sense of Control_mean                4.49   4.77   4.75  \n",
       "Gives Me Sense of Control_sd                  1.19   1.30   1.36  \n",
       "Gives Meaning to My Life_change              12.90  26.76  24.07  \n",
       "Gives Meaning to My Life_mean                 4.39   4.80   4.72  \n",
       "Gives Meaning to My Life_sd                   1.23   1.31   1.38  \n",
       "Helps Distract Me_change                     31.38  33.54  35.45  \n",
       "Helps Distract Me_mean                        4.94   5.01   5.06  \n",
       "Helps Distract Me_sd                          1.30   1.29   1.37  \n",
       "Helps Keep a Routine_change                   7.74  24.27  25.55  \n",
       "Helps Keep a Routine_mean                     4.23   4.73   4.77  \n",
       "Helps Keep a Routine_sd                       1.19   1.33   1.39  \n",
       "Helps Me Accept My Situation_change          14.30  25.85  25.71  \n",
       "Helps Me Accept My Situation_mean             4.43   4.78   4.77  \n",
       "Helps Me Accept My Situation_sd               1.16   1.26   1.37  \n",
       "Helps Me Concentrate_change                  17.45  26.03  26.89  \n",
       "Helps Me Concentrate_mean                     4.52   4.78   4.81  \n",
       "Helps Me Concentrate_sd                       1.28   1.30   1.39  \n",
       "Helps Me Dwell on My Worries_change          -9.57  11.26  18.30  \n",
       "Helps Me Dwell on My Worries_mean             3.71   4.34   4.55  \n",
       "Helps Me Dwell on My Worries_sd               1.39   1.48   1.53  \n",
       "Helps Me Express My Identity_change           8.76  24.07  22.50  \n",
       "Helps Me Express My Identity_mean             4.26   4.72   4.68  \n",
       "Helps Me Express My Identity_sd               1.07   1.27   1.37  \n",
       "Helps Me Fall Asleep_change                   5.64  17.02  16.88  \n",
       "Helps Me Fall Asleep_mean                     4.17   4.51   4.51  \n",
       "Helps Me Fall Asleep_sd                       1.21   1.32   1.39  \n",
       "Helps Me Identify with the Artist_change      2.31  19.19  18.09  \n",
       "Helps Me Identify with the Artist_mean        4.07   4.58   4.54  \n",
       "Helps Me Identify with the Artist_sd          1.19   1.29   1.41  \n",
       "Helps Me Relax_change                        31.12  37.28  38.34  \n",
       "Helps Me Relax_mean                           4.93   5.12   5.15  \n",
       "Helps Me Relax_sd                             1.23   1.29   1.37  \n",
       "Helps Me Understand My Feelings_change       13.81  26.30  25.65  \n",
       "Helps Me Understand My Feelings_mean          4.41   4.79   4.77  \n",
       "Helps Me Understand My Feelings_sd            1.20   1.24   1.38  \n",
       "Helps Time Pass Quickly_change               26.81  30.84  31.41  \n",
       "Helps Time Pass Quickly_mean                  4.80   4.93   4.94  \n",
       "Helps Time Pass Quickly_sd                    1.33   1.33   1.43  \n",
       "Is Enjoyable_change                          39.47  39.68  42.11  \n",
       "Is Enjoyable_mean                             5.18   5.19   5.26  \n",
       "Is Enjoyable_sd                               1.29   1.31   1.40  \n",
       "Lets Me Daydream_change                      24.41  27.85  29.95  \n",
       "Lets Me Daydream_mean                         4.73   4.84   4.90  \n",
       "Lets Me Daydream_sd                           1.24   1.31   1.39  \n",
       "Makes Me Feel Good About Myself_change       29.34  30.40  31.52  \n",
       "Makes Me Feel Good About Myself_mean          4.88   4.91   4.95  \n",
       "Makes Me Feel Good About Myself_sd            1.28   1.28   1.38  \n",
       "Makes Me Want to Move_change                 19.82  26.84  25.77  \n",
       "Makes Me Want to Move_mean                    4.59   4.81   4.77  \n",
       "Makes Me Want to Move_sd                      1.29   1.35   1.43  \n",
       "Moves Me Emotionally_change                  22.31  30.09  29.64  \n",
       "Moves Me Emotionally_mean                     4.67   4.90   4.89  \n",
       "Moves Me Emotionally_sd                       1.24   1.35   1.41  \n",
       "Provides Comfort_change                      29.67  36.84  35.14  \n",
       "Provides Comfort_mean                         4.89   5.11   5.05  \n",
       "Provides Comfort_sd                           1.21   1.29   1.39  \n",
       "Provides a Good Background_change            28.14  33.33  34.21  \n",
       "Provides a Good Background_mean               4.84   5.00   5.03  \n",
       "Provides a Good Background_sd                 1.28   1.28   1.37  \n",
       "Provides a Spiritual Experience_change        3.39  23.09  19.51  \n",
       "Provides a Spiritual Experience_mean          4.10   4.69   4.59  \n",
       "Provides a Spiritual Experience_sd            1.13   1.32   1.43  \n",
       "Provides an Aesthetic Experience_change      12.61  29.92  23.58  \n",
       "Provides an Aesthetic Experience_mean         4.38   4.90   4.71  \n",
       "Provides an Aesthetic Experience_sd           1.12   1.22   1.38  \n",
       "Puts Me in a Good Mood_change                30.08  34.95  36.30  \n",
       "Puts Me in a Good Mood_mean                   4.90   5.05   5.09  \n",
       "Puts Me in a Good Mood_sd                     1.19   1.33   1.41  \n",
       "Reduces My Stress_change                     34.25  37.88  36.79  \n",
       "Reduces My Stress_mean                        5.03   5.14   5.10  \n",
       "Reduces My Stress_sd                          1.31   1.29   1.42  \n",
       "Reminiscent of Positive Times_change         28.67  32.67  32.02  \n",
       "Reminiscent of Positive Times_mean            4.86   4.98   4.96  \n",
       "Reminiscent of Positive Times_sd              1.28   1.28   1.38  \n",
       "Stimulates Me Intellectually_change           9.44  24.63  25.48  \n",
       "Stimulates Me Intellectually_mean             4.28   4.74   4.76  \n",
       "Stimulates Me Intellectually_sd               1.19   1.28   1.36  \n",
       "Supports Me in a Bad Mood_change             26.85  33.54  33.87  \n",
       "Supports Me in a Bad Mood_mean                4.81   5.01   5.02  \n",
       "Supports Me in a Bad Mood_sd                  1.21   1.26   1.34  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# music making\n",
    "group_col = 'Country_Country Name'\n",
    "col_list = [col for col in data.columns if col.startswith('Making Music_Functions')]\n",
    "performance = group_numeric(data, col_list, group_col,1)\n",
    "performance.columns = performance.columns.str.split('Functions_').str[1]\n",
    "\n",
    "performance.transpose().round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>Country_Country Name</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Creates a Personal Space_mean</th>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>0.02</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.04</td>\n",
       "      <td>-0.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Enables Me to Vent Negative Emotions_mean</th>\n",
       "      <td>-0.04</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>-0.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Energizes Me_mean</th>\n",
       "      <td>-0.10</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>0.01</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.08</td>\n",
       "      <td>-0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Connected to My Culture_mean</th>\n",
       "      <td>-0.12</td>\n",
       "      <td>-0.21</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>-0.23</td>\n",
       "      <td>0.06</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Less Lonely_mean</th>\n",
       "      <td>0.08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.15</td>\n",
       "      <td>-0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Am Sharing My Experience_mean</th>\n",
       "      <td>-0.19</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>-0.10</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>0.03</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Have Company_mean</th>\n",
       "      <td>-0.13</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.21</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.13</td>\n",
       "      <td>-0.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like I Understand Others_mean</th>\n",
       "      <td>-0.14</td>\n",
       "      <td>-0.13</td>\n",
       "      <td>-0.10</td>\n",
       "      <td>-0.20</td>\n",
       "      <td>0.07</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feel Like Part of a Bigger Group_mean</th>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>0.04</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.07</td>\n",
       "      <td>-0.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Me New Perspectives_mean</th>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.14</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.14</td>\n",
       "      <td>-0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Me Sense of Control_mean</th>\n",
       "      <td>-0.14</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.14</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.05</td>\n",
       "      <td>-0.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gives Meaning to My Life_mean</th>\n",
       "      <td>-0.18</td>\n",
       "      <td>-0.10</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-0.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Distract Me_mean</th>\n",
       "      <td>-0.08</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>0.03</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.10</td>\n",
       "      <td>-0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Keep a Routine_mean</th>\n",
       "      <td>-0.13</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>-0.14</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.05</td>\n",
       "      <td>-0.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Accept My Situation_mean</th>\n",
       "      <td>0.00</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>0.05</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.12</td>\n",
       "      <td>-0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Concentrate_mean</th>\n",
       "      <td>-0.12</td>\n",
       "      <td>-0.18</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>-0.17</td>\n",
       "      <td>0.15</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Dwell on My Worries_mean</th>\n",
       "      <td>-0.04</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.12</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>-0.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Express My Identity_mean</th>\n",
       "      <td>-0.13</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.07</td>\n",
       "      <td>-0.20</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.05</td>\n",
       "      <td>-0.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Fall Asleep_mean</th>\n",
       "      <td>-0.12</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>0.03</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.08</td>\n",
       "      <td>-0.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Identify with the Artist_mean</th>\n",
       "      <td>-0.05</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.06</td>\n",
       "      <td>-0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Relax_mean</th>\n",
       "      <td>0.03</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.01</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.08</td>\n",
       "      <td>-0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Me Understand My Feelings_mean</th>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.08</td>\n",
       "      <td>-0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helps Time Pass Quickly_mean</th>\n",
       "      <td>-0.01</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.09</td>\n",
       "      <td>-0.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Is Enjoyable_mean</th>\n",
       "      <td>0.09</td>\n",
       "      <td>0.08</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>-0.02</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.10</td>\n",
       "      <td>-0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lets Me Daydream_mean</th>\n",
       "      <td>0.09</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.14</td>\n",
       "      <td>-0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Makes Me Feel Good About Myself_mean</th>\n",
       "      <td>-0.03</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>-0.13</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.09</td>\n",
       "      <td>-0.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Makes Me Want to Move_mean</th>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.14</td>\n",
       "      <td>0.05</td>\n",
       "      <td>-0.14</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.03</td>\n",
       "      <td>-0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moves Me Emotionally_mean</th>\n",
       "      <td>-0.09</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>0.04</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.09</td>\n",
       "      <td>-0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides Comfort_mean</th>\n",
       "      <td>-0.16</td>\n",
       "      <td>-0.17</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>-0.13</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.06</td>\n",
       "      <td>-0.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides a Good Background_mean</th>\n",
       "      <td>-0.13</td>\n",
       "      <td>0.07</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.10</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.12</td>\n",
       "      <td>-0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides a Spiritual Experience_mean</th>\n",
       "      <td>-0.05</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>0.06</td>\n",
       "      <td>-0.13</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.05</td>\n",
       "      <td>-0.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provides an Aesthetic Experience_mean</th>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>0.05</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>-0.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Puts Me in a Good Mood_mean</th>\n",
       "      <td>-0.01</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.36</td>\n",
       "      <td>0.19</td>\n",
       "      <td>0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reduces My Stress_mean</th>\n",
       "      <td>-0.09</td>\n",
       "      <td>-0.16</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.07</td>\n",
       "      <td>-0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reminiscent of Positive Times_mean</th>\n",
       "      <td>-0.02</td>\n",
       "      <td>-0.11</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.16</td>\n",
       "      <td>-0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stimulates Me Intellectually_mean</th>\n",
       "      <td>-0.17</td>\n",
       "      <td>-0.13</td>\n",
       "      <td>0.03</td>\n",
       "      <td>-0.06</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.05</td>\n",
       "      <td>-0.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Supports Me in a Bad Mood_mean</th>\n",
       "      <td>-0.05</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.29</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country_Country Name                       France  Germany  India  Italy  \\\n",
       "Creates a Personal Space_mean               -0.03    -0.09   0.02  -0.08   \n",
       "Enables Me to Vent Negative Emotions_mean   -0.04    -0.09  -0.11  -0.09   \n",
       "Energizes Me_mean                           -0.10    -0.05   0.01  -0.12   \n",
       "Feel Connected to My Culture_mean           -0.12    -0.21  -0.05  -0.23   \n",
       "Feel Less Lonely_mean                        0.08     0.00   0.03   0.08   \n",
       "Feel Like I Am Sharing My Experience_mean   -0.19    -0.22  -0.10  -0.22   \n",
       "Feel Like I Have Company_mean               -0.13    -0.11  -0.02  -0.21   \n",
       "Feel Like I Understand Others_mean          -0.14    -0.13  -0.10  -0.20   \n",
       "Feel Like Part of a Bigger Group_mean       -0.11    -0.12   0.04  -0.09   \n",
       "Gives Me New Perspectives_mean              -0.03    -0.14  -0.02  -0.08   \n",
       "Gives Me Sense of Control_mean              -0.14    -0.09  -0.01  -0.14   \n",
       "Gives Meaning to My Life_mean               -0.18    -0.10  -0.04  -0.07   \n",
       "Helps Distract Me_mean                      -0.08    -0.09   0.03  -0.07   \n",
       "Helps Keep a Routine_mean                   -0.13    -0.09  -0.12  -0.14   \n",
       "Helps Me Accept My Situation_mean            0.00    -0.12   0.05  -0.05   \n",
       "Helps Me Concentrate_mean                   -0.12    -0.18  -0.00  -0.17   \n",
       "Helps Me Dwell on My Worries_mean           -0.04    -0.16  -0.11  -0.02   \n",
       "Helps Me Express My Identity_mean           -0.13     0.01   0.07  -0.20   \n",
       "Helps Me Fall Asleep_mean                   -0.12    -0.04   0.03  -0.15   \n",
       "Helps Me Identify with the Artist_mean      -0.05    -0.16  -0.05  -0.09   \n",
       "Helps Me Relax_mean                          0.03     0.05   0.01  -0.09   \n",
       "Helps Me Understand My Feelings_mean        -0.01    -0.02  -0.04  -0.04   \n",
       "Helps Time Pass Quickly_mean                -0.01    -0.04  -0.11  -0.02   \n",
       "Is Enjoyable_mean                            0.09     0.08  -0.12  -0.02   \n",
       "Lets Me Daydream_mean                        0.09    -0.03  -0.05  -0.07   \n",
       "Makes Me Feel Good About Myself_mean        -0.03    -0.19  -0.07  -0.13   \n",
       "Makes Me Want to Move_mean                  -0.02    -0.14   0.05  -0.14   \n",
       "Moves Me Emotionally_mean                   -0.09    -0.09   0.04  -0.12   \n",
       "Provides Comfort_mean                       -0.16    -0.17  -0.04  -0.13   \n",
       "Provides a Good Background_mean             -0.13     0.07  -0.11  -0.10   \n",
       "Provides a Spiritual Experience_mean        -0.05    -0.12   0.06  -0.13   \n",
       "Provides an Aesthetic Experience_mean       -0.11    -0.16  -0.11  -0.22   \n",
       "Puts Me in a Good Mood_mean                 -0.01     0.07   0.01   0.15   \n",
       "Reduces My Stress_mean                      -0.09    -0.16  -0.08  -0.03   \n",
       "Reminiscent of Positive Times_mean          -0.02    -0.11   0.07   0.05   \n",
       "Stimulates Me Intellectually_mean           -0.17    -0.13   0.03  -0.06   \n",
       "Supports Me in a Bad Mood_mean              -0.05     0.06   0.12   0.04   \n",
       "\n",
       "Country_Country Name                         UK   USA  TOTAL  \n",
       "Creates a Personal Space_mean              0.17  0.04  -0.11  \n",
       "Enables Me to Vent Negative Emotions_mean -0.01 -0.05  -0.13  \n",
       "Energizes Me_mean                          0.25  0.08  -0.06  \n",
       "Feel Connected to My Culture_mean          0.06 -0.02  -0.20  \n",
       "Feel Less Lonely_mean                      0.24  0.15  -0.01  \n",
       "Feel Like I Am Sharing My Experience_mean  0.03 -0.01  -0.23  \n",
       "Feel Like I Have Company_mean              0.09  0.13  -0.16  \n",
       "Feel Like I Understand Others_mean         0.07 -0.01  -0.20  \n",
       "Feel Like Part of a Bigger Group_mean      0.06  0.07  -0.13  \n",
       "Gives Me New Perspectives_mean             0.30  0.14  -0.07  \n",
       "Gives Me Sense of Control_mean            -0.01  0.05  -0.17  \n",
       "Gives Meaning to My Life_mean              0.09  0.00  -0.16  \n",
       "Helps Distract Me_mean                     0.17  0.10  -0.08  \n",
       "Helps Keep a Routine_mean                  0.16  0.05  -0.13  \n",
       "Helps Me Accept My Situation_mean          0.19  0.12  -0.07  \n",
       "Helps Me Concentrate_mean                  0.15 -0.01  -0.16  \n",
       "Helps Me Dwell on My Worries_mean          0.12 -0.04  -0.08  \n",
       "Helps Me Express My Identity_mean          0.16  0.05  -0.10  \n",
       "Helps Me Fall Asleep_mean                  0.14  0.08  -0.12  \n",
       "Helps Me Identify with the Artist_mean     0.03  0.06  -0.15  \n",
       "Helps Me Relax_mean                        0.27  0.08  -0.03  \n",
       "Helps Me Understand My Feelings_mean       0.21  0.08  -0.09  \n",
       "Helps Time Pass Quickly_mean               0.20  0.09  -0.11  \n",
       "Is Enjoyable_mean                          0.24  0.10  -0.03  \n",
       "Lets Me Daydream_mean                      0.19  0.14  -0.03  \n",
       "Makes Me Feel Good About Myself_mean       0.05  0.09  -0.17  \n",
       "Makes Me Want to Move_mean                 0.17  0.03  -0.09  \n",
       "Moves Me Emotionally_mean                  0.14  0.09  -0.09  \n",
       "Provides Comfort_mean                      0.13  0.06  -0.17  \n",
       "Provides a Good Background_mean            0.35  0.12  -0.07  \n",
       "Provides a Spiritual Experience_mean       0.09  0.05  -0.14  \n",
       "Provides an Aesthetic Experience_mean      0.05 -0.04  -0.24  \n",
       "Puts Me in a Good Mood_mean                0.36  0.19   0.04  \n",
       "Reduces My Stress_mean                     0.16  0.07  -0.15  \n",
       "Reminiscent of Positive Times_mean         0.22  0.16  -0.03  \n",
       "Stimulates Me Intellectually_mean          0.12  0.05  -0.09  \n",
       "Supports Me in a Bad Mood_mean             0.29  0.06   0.01  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# difference between music listening and music making\n",
    "mean_cols = [c for c in listening if '_mean' in c] \n",
    "listen_minus_perform = listening - performance\n",
    "listen_minus_perform[mean_cols].T.round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Situations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>Country_Country Name</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Alone_change</th>\n",
       "      <td>15.73</td>\n",
       "      <td>14.55</td>\n",
       "      <td>43.98</td>\n",
       "      <td>20.05</td>\n",
       "      <td>29.61</td>\n",
       "      <td>27.65</td>\n",
       "      <td>25.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alone_mean</th>\n",
       "      <td>4.47</td>\n",
       "      <td>4.44</td>\n",
       "      <td>5.32</td>\n",
       "      <td>4.60</td>\n",
       "      <td>4.89</td>\n",
       "      <td>4.83</td>\n",
       "      <td>4.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alone_sd</th>\n",
       "      <td>1.26</td>\n",
       "      <td>1.08</td>\n",
       "      <td>1.67</td>\n",
       "      <td>1.46</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.34</td>\n",
       "      <td>1.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dining_change</th>\n",
       "      <td>-3.77</td>\n",
       "      <td>3.02</td>\n",
       "      <td>13.90</td>\n",
       "      <td>-9.05</td>\n",
       "      <td>-2.79</td>\n",
       "      <td>5.51</td>\n",
       "      <td>1.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dining_mean</th>\n",
       "      <td>3.89</td>\n",
       "      <td>4.09</td>\n",
       "      <td>4.42</td>\n",
       "      <td>3.73</td>\n",
       "      <td>3.92</td>\n",
       "      <td>4.17</td>\n",
       "      <td>4.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dining_sd</th>\n",
       "      <td>1.01</td>\n",
       "      <td>0.82</td>\n",
       "      <td>1.80</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.04</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Doing Nothing Else_change</th>\n",
       "      <td>10.80</td>\n",
       "      <td>8.30</td>\n",
       "      <td>40.35</td>\n",
       "      <td>10.83</td>\n",
       "      <td>25.12</td>\n",
       "      <td>24.92</td>\n",
       "      <td>19.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Doing Nothing Else_mean</th>\n",
       "      <td>4.32</td>\n",
       "      <td>4.25</td>\n",
       "      <td>5.21</td>\n",
       "      <td>4.33</td>\n",
       "      <td>4.75</td>\n",
       "      <td>4.75</td>\n",
       "      <td>4.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Doing Nothing Else_sd</th>\n",
       "      <td>1.21</td>\n",
       "      <td>0.95</td>\n",
       "      <td>1.66</td>\n",
       "      <td>1.39</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Evening_change</th>\n",
       "      <td>-3.54</td>\n",
       "      <td>2.60</td>\n",
       "      <td>33.21</td>\n",
       "      <td>-4.61</td>\n",
       "      <td>7.33</td>\n",
       "      <td>15.66</td>\n",
       "      <td>8.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Evening_mean</th>\n",
       "      <td>3.89</td>\n",
       "      <td>4.08</td>\n",
       "      <td>5.00</td>\n",
       "      <td>3.86</td>\n",
       "      <td>4.22</td>\n",
       "      <td>4.47</td>\n",
       "      <td>4.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Evening_sd</th>\n",
       "      <td>1.04</td>\n",
       "      <td>0.85</td>\n",
       "      <td>1.66</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exercising_change</th>\n",
       "      <td>7.38</td>\n",
       "      <td>6.46</td>\n",
       "      <td>36.14</td>\n",
       "      <td>7.72</td>\n",
       "      <td>22.33</td>\n",
       "      <td>21.68</td>\n",
       "      <td>16.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exercising_mean</th>\n",
       "      <td>4.22</td>\n",
       "      <td>4.19</td>\n",
       "      <td>5.08</td>\n",
       "      <td>4.23</td>\n",
       "      <td>4.67</td>\n",
       "      <td>4.65</td>\n",
       "      <td>4.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exercising_sd</th>\n",
       "      <td>1.15</td>\n",
       "      <td>0.94</td>\n",
       "      <td>1.70</td>\n",
       "      <td>1.37</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Housework_change</th>\n",
       "      <td>14.76</td>\n",
       "      <td>13.75</td>\n",
       "      <td>37.83</td>\n",
       "      <td>6.52</td>\n",
       "      <td>28.46</td>\n",
       "      <td>25.08</td>\n",
       "      <td>20.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Housework_mean</th>\n",
       "      <td>4.44</td>\n",
       "      <td>4.41</td>\n",
       "      <td>5.13</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.85</td>\n",
       "      <td>4.75</td>\n",
       "      <td>4.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Housework_sd</th>\n",
       "      <td>1.28</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.70</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morning_change</th>\n",
       "      <td>0.47</td>\n",
       "      <td>3.77</td>\n",
       "      <td>20.67</td>\n",
       "      <td>-3.32</td>\n",
       "      <td>0.77</td>\n",
       "      <td>11.15</td>\n",
       "      <td>5.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morning_mean</th>\n",
       "      <td>4.01</td>\n",
       "      <td>4.11</td>\n",
       "      <td>4.62</td>\n",
       "      <td>3.90</td>\n",
       "      <td>4.02</td>\n",
       "      <td>4.33</td>\n",
       "      <td>4.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morning_sd</th>\n",
       "      <td>1.09</td>\n",
       "      <td>0.89</td>\n",
       "      <td>1.78</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.24</td>\n",
       "      <td>1.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other Activities_change</th>\n",
       "      <td>-4.27</td>\n",
       "      <td>13.84</td>\n",
       "      <td>35.19</td>\n",
       "      <td>19.59</td>\n",
       "      <td>24.08</td>\n",
       "      <td>25.04</td>\n",
       "      <td>18.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other Activities_mean</th>\n",
       "      <td>3.87</td>\n",
       "      <td>4.42</td>\n",
       "      <td>5.06</td>\n",
       "      <td>4.59</td>\n",
       "      <td>4.72</td>\n",
       "      <td>4.75</td>\n",
       "      <td>4.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other Activities_sd</th>\n",
       "      <td>1.04</td>\n",
       "      <td>0.93</td>\n",
       "      <td>1.67</td>\n",
       "      <td>1.36</td>\n",
       "      <td>1.22</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sexual Activity_change</th>\n",
       "      <td>-4.35</td>\n",
       "      <td>0.04</td>\n",
       "      <td>13.53</td>\n",
       "      <td>-7.02</td>\n",
       "      <td>-3.67</td>\n",
       "      <td>6.14</td>\n",
       "      <td>0.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sexual Activity_mean</th>\n",
       "      <td>3.87</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.41</td>\n",
       "      <td>3.79</td>\n",
       "      <td>3.89</td>\n",
       "      <td>4.18</td>\n",
       "      <td>4.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sexual Activity_sd</th>\n",
       "      <td>0.89</td>\n",
       "      <td>0.80</td>\n",
       "      <td>1.68</td>\n",
       "      <td>1.10</td>\n",
       "      <td>0.82</td>\n",
       "      <td>1.13</td>\n",
       "      <td>1.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Traveling_change</th>\n",
       "      <td>0.62</td>\n",
       "      <td>4.23</td>\n",
       "      <td>23.43</td>\n",
       "      <td>0.50</td>\n",
       "      <td>2.68</td>\n",
       "      <td>8.21</td>\n",
       "      <td>6.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Traveling_mean</th>\n",
       "      <td>4.02</td>\n",
       "      <td>4.13</td>\n",
       "      <td>4.70</td>\n",
       "      <td>4.01</td>\n",
       "      <td>4.08</td>\n",
       "      <td>4.25</td>\n",
       "      <td>4.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Traveling_sd</th>\n",
       "      <td>1.24</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1.85</td>\n",
       "      <td>1.42</td>\n",
       "      <td>1.66</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>With Others_change</th>\n",
       "      <td>-5.40</td>\n",
       "      <td>-0.96</td>\n",
       "      <td>15.59</td>\n",
       "      <td>-3.61</td>\n",
       "      <td>-6.62</td>\n",
       "      <td>8.92</td>\n",
       "      <td>1.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>With Others_mean</th>\n",
       "      <td>3.84</td>\n",
       "      <td>3.97</td>\n",
       "      <td>4.47</td>\n",
       "      <td>3.89</td>\n",
       "      <td>3.80</td>\n",
       "      <td>4.27</td>\n",
       "      <td>4.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>With Others_sd</th>\n",
       "      <td>1.12</td>\n",
       "      <td>0.93</td>\n",
       "      <td>1.87</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Working_change</th>\n",
       "      <td>2.06</td>\n",
       "      <td>3.82</td>\n",
       "      <td>16.42</td>\n",
       "      <td>0.95</td>\n",
       "      <td>14.72</td>\n",
       "      <td>15.32</td>\n",
       "      <td>8.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Working_mean</th>\n",
       "      <td>4.06</td>\n",
       "      <td>4.11</td>\n",
       "      <td>4.49</td>\n",
       "      <td>4.03</td>\n",
       "      <td>4.44</td>\n",
       "      <td>4.46</td>\n",
       "      <td>4.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Working_sd</th>\n",
       "      <td>1.10</td>\n",
       "      <td>0.83</td>\n",
       "      <td>1.85</td>\n",
       "      <td>1.24</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country_Country Name       France  Germany  India  Italy     UK    USA  TOTAL\n",
       "Alone_change                15.73    14.55  43.98  20.05  29.61  27.65  25.00\n",
       "Alone_mean                   4.47     4.44   5.32   4.60   4.89   4.83   4.75\n",
       "Alone_sd                     1.26     1.08   1.67   1.46   1.31   1.34   1.40\n",
       "Dining_change               -3.77     3.02  13.90  -9.05  -2.79   5.51   1.24\n",
       "Dining_mean                  3.89     4.09   4.42   3.73   3.92   4.17   4.04\n",
       "Dining_sd                    1.01     0.82   1.80   1.25   1.04   1.21   1.26\n",
       "Doing Nothing Else_change   10.80     8.30  40.35  10.83  25.12  24.92  19.76\n",
       "Doing Nothing Else_mean      4.32     4.25   5.21   4.33   4.75   4.75   4.59\n",
       "Doing Nothing Else_sd        1.21     0.95   1.66   1.39   1.25   1.31   1.36\n",
       "Evening_change              -3.54     2.60  33.21  -4.61   7.33  15.66   8.37\n",
       "Evening_mean                 3.89     4.08   5.00   3.86   4.22   4.47   4.25\n",
       "Evening_sd                   1.04     0.85   1.66   1.27   1.28   1.23   1.30\n",
       "Exercising_change            7.38     6.46  36.14   7.72  22.33  21.68  16.64\n",
       "Exercising_mean              4.22     4.19   5.08   4.23   4.67   4.65   4.50\n",
       "Exercising_sd                1.15     0.94   1.70   1.37   1.26   1.28   1.35\n",
       "Housework_change            14.76    13.75  37.83   6.52  28.46  25.08  20.71\n",
       "Housework_mean               4.44     4.41   5.13   4.20   4.85   4.75   4.62\n",
       "Housework_sd                 1.28     1.00   1.70   1.32   1.27   1.28   1.37\n",
       "Morning_change               0.47     3.77  20.67  -3.32   0.77  11.15   5.73\n",
       "Morning_mean                 4.01     4.11   4.62   3.90   4.02   4.33   4.17\n",
       "Morning_sd                   1.09     0.89   1.78   1.30   1.27   1.24   1.31\n",
       "Other Activities_change     -4.27    13.84  35.19  19.59  24.08  25.04  18.44\n",
       "Other Activities_mean        3.87     4.42   5.06   4.59   4.72   4.75   4.55\n",
       "Other Activities_sd          1.04     0.93   1.67   1.36   1.22   1.27   1.33\n",
       "Sexual Activity_change      -4.35     0.04  13.53  -7.02  -3.67   6.14   0.91\n",
       "Sexual Activity_mean         3.87     4.00   4.41   3.79   3.89   4.18   4.03\n",
       "Sexual Activity_sd           0.89     0.80   1.68   1.10   0.82   1.13   1.14\n",
       "Traveling_change             0.62     4.23  23.43   0.50   2.68   8.21   6.72\n",
       "Traveling_mean               4.02     4.13   4.70   4.01   4.08   4.25   4.20\n",
       "Traveling_sd                 1.24     0.99   1.85   1.42   1.66   1.53   1.48\n",
       "With Others_change          -5.40    -0.96  15.59  -3.61  -6.62   8.92   1.57\n",
       "With Others_mean             3.84     3.97   4.47   3.89   3.80   4.27   4.05\n",
       "With Others_sd               1.12     0.93   1.87   1.32   1.31   1.31   1.36\n",
       "Working_change               2.06     3.82  16.42   0.95  14.72  15.32   8.56\n",
       "Working_mean                 4.06     4.11   4.49   4.03   4.44   4.46   4.26\n",
       "Working_sd                   1.10     0.83   1.85   1.24   1.32   1.26   1.32"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# music listening\n",
    "group_col = 'Country_Country Name'\n",
    "col_list = [col for col in data.columns if col.startswith('Music Listening_Situations')]\n",
    "listening = group_numeric(data, col_list, group_col,1)\n",
    "listening.columns = listening.columns.str.split('Situations_').str[1]\n",
    "\n",
    "listening.T.round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>Country_Country Name</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Balconies_change</th>\n",
       "      <td>-5.21</td>\n",
       "      <td>0.51</td>\n",
       "      <td>23.51</td>\n",
       "      <td>-7.43</td>\n",
       "      <td>-1.88</td>\n",
       "      <td>9.43</td>\n",
       "      <td>6.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Balconies_mean</th>\n",
       "      <td>3.84</td>\n",
       "      <td>4.02</td>\n",
       "      <td>4.71</td>\n",
       "      <td>3.78</td>\n",
       "      <td>3.94</td>\n",
       "      <td>4.28</td>\n",
       "      <td>4.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Balconies_sd</th>\n",
       "      <td>0.86</td>\n",
       "      <td>0.85</td>\n",
       "      <td>1.74</td>\n",
       "      <td>1.19</td>\n",
       "      <td>0.76</td>\n",
       "      <td>1.13</td>\n",
       "      <td>1.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dance Alone_change</th>\n",
       "      <td>0.34</td>\n",
       "      <td>1.33</td>\n",
       "      <td>26.55</td>\n",
       "      <td>-1.72</td>\n",
       "      <td>12.04</td>\n",
       "      <td>15.57</td>\n",
       "      <td>12.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dance Alone_mean</th>\n",
       "      <td>4.01</td>\n",
       "      <td>4.04</td>\n",
       "      <td>4.80</td>\n",
       "      <td>3.95</td>\n",
       "      <td>4.36</td>\n",
       "      <td>4.47</td>\n",
       "      <td>4.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dance Alone_sd</th>\n",
       "      <td>1.12</td>\n",
       "      <td>0.97</td>\n",
       "      <td>1.76</td>\n",
       "      <td>1.43</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1.29</td>\n",
       "      <td>1.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dance Internet_change</th>\n",
       "      <td>-6.05</td>\n",
       "      <td>-1.03</td>\n",
       "      <td>24.26</td>\n",
       "      <td>-5.80</td>\n",
       "      <td>1.94</td>\n",
       "      <td>10.03</td>\n",
       "      <td>7.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dance Internet_mean</th>\n",
       "      <td>3.82</td>\n",
       "      <td>3.97</td>\n",
       "      <td>4.73</td>\n",
       "      <td>3.83</td>\n",
       "      <td>4.06</td>\n",
       "      <td>4.30</td>\n",
       "      <td>4.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dance Internet_sd</th>\n",
       "      <td>0.79</td>\n",
       "      <td>0.82</td>\n",
       "      <td>1.70</td>\n",
       "      <td>1.07</td>\n",
       "      <td>0.91</td>\n",
       "      <td>1.11</td>\n",
       "      <td>1.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dance Together_change</th>\n",
       "      <td>-2.94</td>\n",
       "      <td>-2.77</td>\n",
       "      <td>21.88</td>\n",
       "      <td>-8.33</td>\n",
       "      <td>8.28</td>\n",
       "      <td>9.08</td>\n",
       "      <td>7.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dance Together_mean</th>\n",
       "      <td>3.91</td>\n",
       "      <td>3.92</td>\n",
       "      <td>4.66</td>\n",
       "      <td>3.75</td>\n",
       "      <td>4.25</td>\n",
       "      <td>4.27</td>\n",
       "      <td>4.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dance Together_sd</th>\n",
       "      <td>1.08</td>\n",
       "      <td>1.01</td>\n",
       "      <td>1.79</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.13</td>\n",
       "      <td>1.22</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Make Own Music_change</th>\n",
       "      <td>-1.68</td>\n",
       "      <td>1.54</td>\n",
       "      <td>19.86</td>\n",
       "      <td>-2.63</td>\n",
       "      <td>0.39</td>\n",
       "      <td>9.43</td>\n",
       "      <td>6.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Make Own Music_mean</th>\n",
       "      <td>3.95</td>\n",
       "      <td>4.05</td>\n",
       "      <td>4.60</td>\n",
       "      <td>3.92</td>\n",
       "      <td>4.01</td>\n",
       "      <td>4.28</td>\n",
       "      <td>4.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Make Own Music_sd</th>\n",
       "      <td>0.94</td>\n",
       "      <td>0.96</td>\n",
       "      <td>1.69</td>\n",
       "      <td>1.03</td>\n",
       "      <td>0.88</td>\n",
       "      <td>1.13</td>\n",
       "      <td>1.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Perform For Others_change</th>\n",
       "      <td>-6.30</td>\n",
       "      <td>-1.33</td>\n",
       "      <td>24.00</td>\n",
       "      <td>-6.34</td>\n",
       "      <td>-0.84</td>\n",
       "      <td>6.79</td>\n",
       "      <td>5.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Perform For Others_mean</th>\n",
       "      <td>3.81</td>\n",
       "      <td>3.96</td>\n",
       "      <td>4.72</td>\n",
       "      <td>3.81</td>\n",
       "      <td>3.97</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Perform For Others_sd</th>\n",
       "      <td>1.12</td>\n",
       "      <td>1.04</td>\n",
       "      <td>1.74</td>\n",
       "      <td>1.32</td>\n",
       "      <td>0.92</td>\n",
       "      <td>1.16</td>\n",
       "      <td>1.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Play Alone_change</th>\n",
       "      <td>4.62</td>\n",
       "      <td>4.62</td>\n",
       "      <td>26.95</td>\n",
       "      <td>-3.26</td>\n",
       "      <td>5.37</td>\n",
       "      <td>12.52</td>\n",
       "      <td>11.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Play Alone_mean</th>\n",
       "      <td>4.14</td>\n",
       "      <td>4.14</td>\n",
       "      <td>4.81</td>\n",
       "      <td>3.90</td>\n",
       "      <td>4.16</td>\n",
       "      <td>4.38</td>\n",
       "      <td>4.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Play Alone_sd</th>\n",
       "      <td>1.08</td>\n",
       "      <td>0.91</td>\n",
       "      <td>1.63</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.05</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Play Internet_change</th>\n",
       "      <td>-3.53</td>\n",
       "      <td>0.72</td>\n",
       "      <td>22.06</td>\n",
       "      <td>-4.71</td>\n",
       "      <td>0.52</td>\n",
       "      <td>8.68</td>\n",
       "      <td>6.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Play Internet_mean</th>\n",
       "      <td>3.89</td>\n",
       "      <td>4.02</td>\n",
       "      <td>4.66</td>\n",
       "      <td>3.86</td>\n",
       "      <td>4.02</td>\n",
       "      <td>4.26</td>\n",
       "      <td>4.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Play Internet_sd</th>\n",
       "      <td>0.77</td>\n",
       "      <td>0.87</td>\n",
       "      <td>1.69</td>\n",
       "      <td>1.02</td>\n",
       "      <td>0.67</td>\n",
       "      <td>1.07</td>\n",
       "      <td>1.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Play Together_change</th>\n",
       "      <td>-2.94</td>\n",
       "      <td>1.33</td>\n",
       "      <td>23.34</td>\n",
       "      <td>-5.89</td>\n",
       "      <td>-1.17</td>\n",
       "      <td>6.79</td>\n",
       "      <td>6.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Play Together_mean</th>\n",
       "      <td>3.91</td>\n",
       "      <td>4.04</td>\n",
       "      <td>4.70</td>\n",
       "      <td>3.82</td>\n",
       "      <td>3.97</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Play Together_sd</th>\n",
       "      <td>0.96</td>\n",
       "      <td>0.91</td>\n",
       "      <td>1.69</td>\n",
       "      <td>1.14</td>\n",
       "      <td>0.94</td>\n",
       "      <td>1.14</td>\n",
       "      <td>1.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Post Recordings_change</th>\n",
       "      <td>-3.78</td>\n",
       "      <td>-0.72</td>\n",
       "      <td>22.06</td>\n",
       "      <td>-4.35</td>\n",
       "      <td>-0.26</td>\n",
       "      <td>6.54</td>\n",
       "      <td>5.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Post Recordings_mean</th>\n",
       "      <td>3.89</td>\n",
       "      <td>3.98</td>\n",
       "      <td>4.66</td>\n",
       "      <td>3.87</td>\n",
       "      <td>3.99</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Post Recordings_sd</th>\n",
       "      <td>0.87</td>\n",
       "      <td>0.91</td>\n",
       "      <td>1.71</td>\n",
       "      <td>1.17</td>\n",
       "      <td>0.85</td>\n",
       "      <td>1.04</td>\n",
       "      <td>1.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sing Alone_change</th>\n",
       "      <td>3.44</td>\n",
       "      <td>3.28</td>\n",
       "      <td>36.42</td>\n",
       "      <td>2.90</td>\n",
       "      <td>14.82</td>\n",
       "      <td>17.56</td>\n",
       "      <td>16.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sing Alone_mean</th>\n",
       "      <td>4.10</td>\n",
       "      <td>4.10</td>\n",
       "      <td>5.09</td>\n",
       "      <td>4.09</td>\n",
       "      <td>4.44</td>\n",
       "      <td>4.53</td>\n",
       "      <td>4.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sing Alone_sd</th>\n",
       "      <td>1.23</td>\n",
       "      <td>0.94</td>\n",
       "      <td>1.68</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.32</td>\n",
       "      <td>1.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sing Internet_change</th>\n",
       "      <td>-4.03</td>\n",
       "      <td>2.26</td>\n",
       "      <td>25.80</td>\n",
       "      <td>-7.07</td>\n",
       "      <td>1.88</td>\n",
       "      <td>10.48</td>\n",
       "      <td>7.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sing Internet_mean</th>\n",
       "      <td>3.88</td>\n",
       "      <td>4.07</td>\n",
       "      <td>4.77</td>\n",
       "      <td>3.79</td>\n",
       "      <td>4.06</td>\n",
       "      <td>4.31</td>\n",
       "      <td>4.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sing Internet_sd</th>\n",
       "      <td>0.76</td>\n",
       "      <td>0.94</td>\n",
       "      <td>1.69</td>\n",
       "      <td>1.18</td>\n",
       "      <td>0.81</td>\n",
       "      <td>1.13</td>\n",
       "      <td>1.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sing Together_change</th>\n",
       "      <td>1.43</td>\n",
       "      <td>-1.64</td>\n",
       "      <td>24.97</td>\n",
       "      <td>-5.89</td>\n",
       "      <td>7.06</td>\n",
       "      <td>10.83</td>\n",
       "      <td>9.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sing Together_mean</th>\n",
       "      <td>4.04</td>\n",
       "      <td>3.95</td>\n",
       "      <td>4.75</td>\n",
       "      <td>3.82</td>\n",
       "      <td>4.21</td>\n",
       "      <td>4.32</td>\n",
       "      <td>4.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sing Together_sd</th>\n",
       "      <td>1.08</td>\n",
       "      <td>0.99</td>\n",
       "      <td>1.76</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.04</td>\n",
       "      <td>1.22</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country_Country Name       France  Germany  India  Italy     UK    USA  TOTAL\n",
       "Balconies_change            -5.21     0.51  23.51  -7.43  -1.88   9.43   6.11\n",
       "Balconies_mean               3.84     4.02   4.71   3.78   3.94   4.28   4.18\n",
       "Balconies_sd                 0.86     0.85   1.74   1.19   0.76   1.13   1.26\n",
       "Dance Alone_change           0.34     1.33  26.55  -1.72  12.04  15.57  12.09\n",
       "Dance Alone_mean             4.01     4.04   4.80   3.95   4.36   4.47   4.36\n",
       "Dance Alone_sd               1.12     0.97   1.76   1.43   1.20   1.29   1.41\n",
       "Dance Internet_change       -6.05    -1.03  24.26  -5.80   1.94  10.03   7.00\n",
       "Dance Internet_mean          3.82     3.97   4.73   3.83   4.06   4.30   4.21\n",
       "Dance Internet_sd            0.79     0.82   1.70   1.07   0.91   1.11   1.24\n",
       "Dance Together_change       -2.94    -2.77  21.88  -8.33   8.28   9.08   7.18\n",
       "Dance Together_mean          3.91     3.92   4.66   3.75   4.25   4.27   4.22\n",
       "Dance Together_sd            1.08     1.01   1.79   1.31   1.13   1.22   1.38\n",
       "Make Own Music_change       -1.68     1.54  19.86  -2.63   0.39   9.43   6.73\n",
       "Make Own Music_mean          3.95     4.05   4.60   3.92   4.01   4.28   4.20\n",
       "Make Own Music_sd            0.94     0.96   1.69   1.03   0.88   1.13   1.24\n",
       "Perform For Others_change   -6.30    -1.33  24.00  -6.34  -0.84   6.79   5.61\n",
       "Perform For Others_mean      3.81     3.96   4.72   3.81   3.97   4.20   4.17\n",
       "Perform For Others_sd        1.12     1.04   1.74   1.32   0.92   1.16   1.34\n",
       "Play Alone_change            4.62     4.62  26.95  -3.26   5.37  12.52  11.11\n",
       "Play Alone_mean              4.14     4.14   4.81   3.90   4.16   4.38   4.33\n",
       "Play Alone_sd                1.08     0.91   1.63   1.27   1.05   1.15   1.29\n",
       "Play Internet_change        -3.53     0.72  22.06  -4.71   0.52   8.68   6.56\n",
       "Play Internet_mean           3.89     4.02   4.66   3.86   4.02   4.26   4.20\n",
       "Play Internet_sd             0.77     0.87   1.69   1.02   0.67   1.07   1.19\n",
       "Play Together_change        -2.94     1.33  23.34  -5.89  -1.17   6.79   6.17\n",
       "Play Together_mean           3.91     4.04   4.70   3.82   3.97   4.20   4.19\n",
       "Play Together_sd             0.96     0.91   1.69   1.14   0.94   1.14   1.27\n",
       "Post Recordings_change      -3.78    -0.72  22.06  -4.35  -0.26   6.54   5.81\n",
       "Post Recordings_mean         3.89     3.98   4.66   3.87   3.99   4.20   4.17\n",
       "Post Recordings_sd           0.87     0.91   1.71   1.17   0.85   1.04   1.24\n",
       "Sing Alone_change            3.44     3.28  36.42   2.90  14.82  17.56  16.64\n",
       "Sing Alone_mean              4.10     4.10   5.09   4.09   4.44   4.53   4.50\n",
       "Sing Alone_sd                1.23     0.94   1.68   1.49   1.26   1.32   1.44\n",
       "Sing Internet_change        -4.03     2.26  25.80  -7.07   1.88  10.48   7.93\n",
       "Sing Internet_mean           3.88     4.07   4.77   3.79   4.06   4.31   4.24\n",
       "Sing Internet_sd             0.76     0.94   1.69   1.18   0.81   1.13   1.25\n",
       "Sing Together_change         1.43    -1.64  24.97  -5.89   7.06  10.83   9.12\n",
       "Sing Together_mean           4.04     3.95   4.75   3.82   4.21   4.32   4.27\n",
       "Sing Together_sd             1.08     0.99   1.76   1.35   1.04   1.22   1.37"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# music making\n",
    "group_col = 'Country_Country Name'\n",
    "col_list = [col for col in data.columns if col.startswith('Making Music_Situations')]\n",
    "performance = group_numeric(data, col_list, group_col, 1)\n",
    "performance.columns = performance.columns.str.split('Situations_').str[1]\n",
    "\n",
    "performance.T.round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Music Listening Formats\n",
    "\n",
    "*Note: These questions were accidently left out of the Germany sample*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Country_Country Name</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Always Available Programs_change</th>\n",
       "      <td>-3.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.48</td>\n",
       "      <td>-1.33</td>\n",
       "      <td>2.30</td>\n",
       "      <td>13.11</td>\n",
       "      <td>6.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Always Available Programs_mean</th>\n",
       "      <td>3.90</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.58</td>\n",
       "      <td>3.96</td>\n",
       "      <td>4.07</td>\n",
       "      <td>4.39</td>\n",
       "      <td>4.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Always Available Programs_sd</th>\n",
       "      <td>0.89</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.80</td>\n",
       "      <td>1.17</td>\n",
       "      <td>1.02</td>\n",
       "      <td>1.11</td>\n",
       "      <td>1.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Free Livestreams_change</th>\n",
       "      <td>3.30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.79</td>\n",
       "      <td>3.73</td>\n",
       "      <td>17.02</td>\n",
       "      <td>23.12</td>\n",
       "      <td>16.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Free Livestreams_mean</th>\n",
       "      <td>4.10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.07</td>\n",
       "      <td>4.11</td>\n",
       "      <td>4.51</td>\n",
       "      <td>4.69</td>\n",
       "      <td>4.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Free Livestreams_sd</th>\n",
       "      <td>1.05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.67</td>\n",
       "      <td>1.27</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.24</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Free Streaming Others Playlists_change</th>\n",
       "      <td>2.80</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.57</td>\n",
       "      <td>7.55</td>\n",
       "      <td>17.30</td>\n",
       "      <td>22.66</td>\n",
       "      <td>17.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Free Streaming Others Playlists_mean</th>\n",
       "      <td>4.08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.10</td>\n",
       "      <td>4.23</td>\n",
       "      <td>4.52</td>\n",
       "      <td>4.68</td>\n",
       "      <td>4.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Free Streaming Others Playlists_sd</th>\n",
       "      <td>1.11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.70</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1.24</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Free Streaming Own Playlists_change</th>\n",
       "      <td>5.17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.47</td>\n",
       "      <td>4.98</td>\n",
       "      <td>17.35</td>\n",
       "      <td>23.75</td>\n",
       "      <td>17.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Free Streaming Own Playlists_mean</th>\n",
       "      <td>4.16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.06</td>\n",
       "      <td>4.15</td>\n",
       "      <td>4.52</td>\n",
       "      <td>4.71</td>\n",
       "      <td>4.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Free Streaming Own Playlists_sd</th>\n",
       "      <td>1.11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.73</td>\n",
       "      <td>1.30</td>\n",
       "      <td>1.22</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Limited Time Programs_change</th>\n",
       "      <td>-5.40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.16</td>\n",
       "      <td>-2.99</td>\n",
       "      <td>1.92</td>\n",
       "      <td>11.64</td>\n",
       "      <td>4.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Limited Time Programs_mean</th>\n",
       "      <td>3.84</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.54</td>\n",
       "      <td>3.91</td>\n",
       "      <td>4.06</td>\n",
       "      <td>4.35</td>\n",
       "      <td>4.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Limited Time Programs_sd</th>\n",
       "      <td>0.98</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.80</td>\n",
       "      <td>1.21</td>\n",
       "      <td>1.01</td>\n",
       "      <td>1.09</td>\n",
       "      <td>1.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Owned Digital Music_change</th>\n",
       "      <td>-2.72</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.11</td>\n",
       "      <td>0.37</td>\n",
       "      <td>4.82</td>\n",
       "      <td>12.86</td>\n",
       "      <td>7.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Owned Digital Music_mean</th>\n",
       "      <td>3.92</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.72</td>\n",
       "      <td>4.01</td>\n",
       "      <td>4.14</td>\n",
       "      <td>4.39</td>\n",
       "      <td>4.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Owned Digital Music_sd</th>\n",
       "      <td>0.87</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.74</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.04</td>\n",
       "      <td>1.11</td>\n",
       "      <td>1.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Owned Physical Music_change</th>\n",
       "      <td>-0.66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.05</td>\n",
       "      <td>-2.28</td>\n",
       "      <td>-1.31</td>\n",
       "      <td>11.56</td>\n",
       "      <td>4.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Owned Physical Music_mean</th>\n",
       "      <td>3.98</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.36</td>\n",
       "      <td>3.93</td>\n",
       "      <td>3.96</td>\n",
       "      <td>4.35</td>\n",
       "      <td>4.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Owned Physical Music_sd</th>\n",
       "      <td>1.18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.88</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.04</td>\n",
       "      <td>1.22</td>\n",
       "      <td>1.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paid Livestreams_change</th>\n",
       "      <td>-4.74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.48</td>\n",
       "      <td>-5.39</td>\n",
       "      <td>-3.45</td>\n",
       "      <td>7.44</td>\n",
       "      <td>2.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paid Livestreams_mean</th>\n",
       "      <td>3.86</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.58</td>\n",
       "      <td>3.84</td>\n",
       "      <td>3.90</td>\n",
       "      <td>4.22</td>\n",
       "      <td>4.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paid Livestreams_sd</th>\n",
       "      <td>0.83</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.71</td>\n",
       "      <td>0.96</td>\n",
       "      <td>0.82</td>\n",
       "      <td>1.11</td>\n",
       "      <td>1.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paid Streaming Others Playlists_change</th>\n",
       "      <td>-0.70</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.06</td>\n",
       "      <td>-3.61</td>\n",
       "      <td>9.30</td>\n",
       "      <td>11.98</td>\n",
       "      <td>7.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paid Streaming Others Playlists_mean</th>\n",
       "      <td>3.98</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.66</td>\n",
       "      <td>3.89</td>\n",
       "      <td>4.28</td>\n",
       "      <td>4.36</td>\n",
       "      <td>4.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paid Streaming Others Playlists_sd</th>\n",
       "      <td>0.88</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.75</td>\n",
       "      <td>1.09</td>\n",
       "      <td>1.14</td>\n",
       "      <td>1.20</td>\n",
       "      <td>1.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paid Streaming Own Playlists_change</th>\n",
       "      <td>-1.44</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.77</td>\n",
       "      <td>-1.53</td>\n",
       "      <td>9.80</td>\n",
       "      <td>12.90</td>\n",
       "      <td>8.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paid Streaming Own Playlists_mean</th>\n",
       "      <td>3.96</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.65</td>\n",
       "      <td>3.95</td>\n",
       "      <td>4.29</td>\n",
       "      <td>4.39</td>\n",
       "      <td>4.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paid Streaming Own Playlists_sd</th>\n",
       "      <td>0.91</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.73</td>\n",
       "      <td>1.11</td>\n",
       "      <td>1.13</td>\n",
       "      <td>1.19</td>\n",
       "      <td>1.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Radio_change</th>\n",
       "      <td>7.15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.93</td>\n",
       "      <td>9.70</td>\n",
       "      <td>4.65</td>\n",
       "      <td>13.96</td>\n",
       "      <td>11.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Radio_mean</th>\n",
       "      <td>4.21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.60</td>\n",
       "      <td>4.29</td>\n",
       "      <td>4.14</td>\n",
       "      <td>4.42</td>\n",
       "      <td>4.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Radio_sd</th>\n",
       "      <td>1.32</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.81</td>\n",
       "      <td>1.56</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.41</td>\n",
       "      <td>1.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TV Broadcasts_change</th>\n",
       "      <td>-0.12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.87</td>\n",
       "      <td>0.50</td>\n",
       "      <td>1.97</td>\n",
       "      <td>15.26</td>\n",
       "      <td>9.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TV Broadcasts_mean</th>\n",
       "      <td>4.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.93</td>\n",
       "      <td>4.01</td>\n",
       "      <td>4.06</td>\n",
       "      <td>4.46</td>\n",
       "      <td>4.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TV Broadcasts_sd</th>\n",
       "      <td>1.02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.68</td>\n",
       "      <td>1.33</td>\n",
       "      <td>1.03</td>\n",
       "      <td>1.26</td>\n",
       "      <td>1.35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country_Country Name                    France  Germany  India  Italy     UK  \\\n",
       "Always Available Programs_change         -3.42      NaN  19.48  -1.33   2.30   \n",
       "Always Available Programs_mean            3.90      NaN   4.58   3.96   4.07   \n",
       "Always Available Programs_sd              0.89      NaN   1.80   1.17   1.02   \n",
       "Free Livestreams_change                   3.30      NaN  35.79   3.73  17.02   \n",
       "Free Livestreams_mean                     4.10      NaN   5.07   4.11   4.51   \n",
       "Free Livestreams_sd                       1.05      NaN   1.67   1.27   1.21   \n",
       "Free Streaming Others Playlists_change    2.80      NaN  36.57   7.55  17.30   \n",
       "Free Streaming Others Playlists_mean      4.08      NaN   5.10   4.23   4.52   \n",
       "Free Streaming Others Playlists_sd        1.11      NaN   1.70   1.31   1.24   \n",
       "Free Streaming Own Playlists_change       5.17      NaN  35.47   4.98  17.35   \n",
       "Free Streaming Own Playlists_mean         4.16      NaN   5.06   4.15   4.52   \n",
       "Free Streaming Own Playlists_sd           1.11      NaN   1.73   1.30   1.22   \n",
       "Limited Time Programs_change             -5.40      NaN  18.16  -2.99   1.92   \n",
       "Limited Time Programs_mean                3.84      NaN   4.54   3.91   4.06   \n",
       "Limited Time Programs_sd                  0.98      NaN   1.80   1.21   1.01   \n",
       "Owned Digital Music_change               -2.72      NaN  24.11   0.37   4.82   \n",
       "Owned Digital Music_mean                  3.92      NaN   4.72   4.01   4.14   \n",
       "Owned Digital Music_sd                    0.87      NaN   1.74   1.26   1.04   \n",
       "Owned Physical Music_change              -0.66      NaN  12.05  -2.28  -1.31   \n",
       "Owned Physical Music_mean                 3.98      NaN   4.36   3.93   3.96   \n",
       "Owned Physical Music_sd                   1.18      NaN   1.88   1.35   1.04   \n",
       "Paid Livestreams_change                  -4.74      NaN  19.48  -5.39  -3.45   \n",
       "Paid Livestreams_mean                     3.86      NaN   4.58   3.84   3.90   \n",
       "Paid Livestreams_sd                       0.83      NaN   1.71   0.96   0.82   \n",
       "Paid Streaming Others Playlists_change   -0.70      NaN  22.06  -3.61   9.30   \n",
       "Paid Streaming Others Playlists_mean      3.98      NaN   4.66   3.89   4.28   \n",
       "Paid Streaming Others Playlists_sd        0.88      NaN   1.75   1.09   1.14   \n",
       "Paid Streaming Own Playlists_change      -1.44      NaN  21.77  -1.53   9.80   \n",
       "Paid Streaming Own Playlists_mean         3.96      NaN   4.65   3.95   4.29   \n",
       "Paid Streaming Own Playlists_sd           0.91      NaN   1.73   1.11   1.13   \n",
       "Radio_change                              7.15      NaN  19.93   9.70   4.65   \n",
       "Radio_mean                                4.21      NaN   4.60   4.29   4.14   \n",
       "Radio_sd                                  1.32      NaN   1.81   1.56   1.49   \n",
       "TV Broadcasts_change                     -0.12      NaN  30.87   0.50   1.97   \n",
       "TV Broadcasts_mean                        4.00      NaN   4.93   4.01   4.06   \n",
       "TV Broadcasts_sd                          1.02      NaN   1.68   1.33   1.03   \n",
       "\n",
       "Country_Country Name                      USA  TOTAL  \n",
       "Always Available Programs_change        13.11   6.10  \n",
       "Always Available Programs_mean           4.39   4.18  \n",
       "Always Available Programs_sd             1.11   1.28  \n",
       "Free Livestreams_change                 23.12  16.41  \n",
       "Free Livestreams_mean                    4.69   4.49  \n",
       "Free Livestreams_sd                      1.24   1.36  \n",
       "Free Streaming Others Playlists_change  22.66  17.20  \n",
       "Free Streaming Others Playlists_mean     4.68   4.52  \n",
       "Free Streaming Others Playlists_sd       1.26   1.39  \n",
       "Free Streaming Own Playlists_change     23.75  17.20  \n",
       "Free Streaming Own Playlists_mean        4.71   4.52  \n",
       "Free Streaming Own Playlists_sd          1.23   1.38  \n",
       "Limited Time Programs_change            11.64   4.68  \n",
       "Limited Time Programs_mean               4.35   4.14  \n",
       "Limited Time Programs_sd                 1.09   1.29  \n",
       "Owned Digital Music_change              12.86   7.92  \n",
       "Owned Digital Music_mean                 4.39   4.24  \n",
       "Owned Digital Music_sd                   1.11   1.28  \n",
       "Owned Physical Music_change             11.56   4.07  \n",
       "Owned Physical Music_mean                4.35   4.12  \n",
       "Owned Physical Music_sd                  1.22   1.39  \n",
       "Paid Livestreams_change                  7.44   2.90  \n",
       "Paid Livestreams_mean                    4.22   4.09  \n",
       "Paid Livestreams_sd                      1.11   1.18  \n",
       "Paid Streaming Others Playlists_change  11.98   7.63  \n",
       "Paid Streaming Others Playlists_mean     4.36   4.23  \n",
       "Paid Streaming Others Playlists_sd       1.20   1.28  \n",
       "Paid Streaming Own Playlists_change     12.90   8.11  \n",
       "Paid Streaming Own Playlists_mean        4.39   4.24  \n",
       "Paid Streaming Own Playlists_sd          1.19   1.28  \n",
       "Radio_change                            13.96  11.36  \n",
       "Radio_mean                               4.42   4.34  \n",
       "Radio_sd                                 1.41   1.53  \n",
       "TV Broadcasts_change                    15.26   9.98  \n",
       "TV Broadcasts_mean                       4.46   4.30  \n",
       "TV Broadcasts_sd                         1.26   1.35  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group_col = 'Country_Country Name'\n",
    "col_list = [col for col in data.columns if col.startswith('Music Listening_Formats')]\n",
    "listening = group_numeric(data, col_list, group_col, 1)\n",
    "listening.columns = listening.columns.str.split('Formats_').str[1]\n",
    "\n",
    "listening.T.round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Music Engagment\n",
    "\n",
    "Percent of people who report engaging with music differently"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>group</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cols</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Music Engagement_Engaging With Music Differently YN</th>\n",
       "      <td>20.85</td>\n",
       "      <td>9.98</td>\n",
       "      <td>70.37</td>\n",
       "      <td>27.47</td>\n",
       "      <td>35.91</td>\n",
       "      <td>38.52</td>\n",
       "      <td>33.56</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "group                                               France  Germany  India  \\\n",
       "cols                                                                         \n",
       "Music Engagement_Engaging With Music Differentl...   20.85     9.98  70.37   \n",
       "\n",
       "group                                               Italy     UK    USA  TOTAL  \n",
       "cols                                                                            \n",
       "Music Engagement_Engaging With Music Differentl...  27.47  35.91  38.52  33.56  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col_list = ['Music Engagement_Engaging With Music Differently YN']\n",
    "group_col = 'Country_Country Name'\n",
    "\n",
    "tmp = temp_df(group_col, col_list, data)\n",
    "grouped_n, grouped_perc = make_grouped_df(group_col, data, tmp)\n",
    "grouped_perc.T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Of the people who said 'yes' to engaging with music differently, what kinds of music are they engaging with?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>group</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cols</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Other Genres</th>\n",
       "      <td>43.41</td>\n",
       "      <td>36.78</td>\n",
       "      <td>25.20</td>\n",
       "      <td>36.33</td>\n",
       "      <td>32.29</td>\n",
       "      <td>27.05</td>\n",
       "      <td>30.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other Musicians Composers</th>\n",
       "      <td>15.12</td>\n",
       "      <td>12.64</td>\n",
       "      <td>14.99</td>\n",
       "      <td>22.04</td>\n",
       "      <td>9.42</td>\n",
       "      <td>15.50</td>\n",
       "      <td>15.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Same Musicians Composers</th>\n",
       "      <td>5.37</td>\n",
       "      <td>8.05</td>\n",
       "      <td>7.81</td>\n",
       "      <td>12.24</td>\n",
       "      <td>3.59</td>\n",
       "      <td>5.17</td>\n",
       "      <td>7.11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "group                      France  Germany  India  Italy     UK    USA  TOTAL\n",
       "cols                                                                         \n",
       "Other Genres                43.41    36.78  25.20  36.33  32.29  27.05  30.83\n",
       "Other Musicians Composers   15.12    12.64  14.99  22.04   9.42  15.50  15.27\n",
       "Same Musicians Composers     5.37     8.05   7.81  12.24   3.59   5.17   7.11"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# genres and musicans/composers\n",
    "df = data[data['Music Engagement_Engaging With Music Differently YN'] == 1].reset_index(drop=True)\n",
    "col_list = [c for c in df.columns if 'Music Types-' in c]\n",
    "group_col = 'Country_Country Name'\n",
    "tmp = temp_df(group_col, col_list, df)\n",
    "grouped_n, grouped_perc = make_grouped_df(group_col, df, tmp)\n",
    "grouped_perc.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>Country_Country Name</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Music Engagement_Diversity of Music_change</th>\n",
       "      <td>1.362928</td>\n",
       "      <td>3.216374</td>\n",
       "      <td>22.661722</td>\n",
       "      <td>6.038048</td>\n",
       "      <td>14.277869</td>\n",
       "      <td>12.311558</td>\n",
       "      <td>9.717466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Music Engagement_Diversity of Music_mean</th>\n",
       "      <td>4.040888</td>\n",
       "      <td>4.096491</td>\n",
       "      <td>4.679852</td>\n",
       "      <td>4.181141</td>\n",
       "      <td>4.428336</td>\n",
       "      <td>4.369347</td>\n",
       "      <td>4.291524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Music Engagement_Diversity of Music_sd</th>\n",
       "      <td>1.097349</td>\n",
       "      <td>0.801168</td>\n",
       "      <td>1.835460</td>\n",
       "      <td>0.968801</td>\n",
       "      <td>0.930446</td>\n",
       "      <td>1.156557</td>\n",
       "      <td>1.210012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Music Engagement_Nostalgic Music_change</th>\n",
       "      <td>-0.312989</td>\n",
       "      <td>-3.600169</td>\n",
       "      <td>32.265243</td>\n",
       "      <td>5.416667</td>\n",
       "      <td>18.426843</td>\n",
       "      <td>18.063872</td>\n",
       "      <td>10.899447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Music Engagement_Nostalgic Music_mean</th>\n",
       "      <td>3.990610</td>\n",
       "      <td>3.891995</td>\n",
       "      <td>4.967957</td>\n",
       "      <td>4.162500</td>\n",
       "      <td>4.552805</td>\n",
       "      <td>4.541916</td>\n",
       "      <td>4.326983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Music Engagement_Nostalgic Music_sd</th>\n",
       "      <td>1.168488</td>\n",
       "      <td>1.349686</td>\n",
       "      <td>1.783477</td>\n",
       "      <td>1.204328</td>\n",
       "      <td>1.161226</td>\n",
       "      <td>1.291087</td>\n",
       "      <td>1.396182</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country_Country Name                          France   Germany      India  \\\n",
       "Music Engagement_Diversity of Music_change  1.362928  3.216374  22.661722   \n",
       "Music Engagement_Diversity of Music_mean    4.040888  4.096491   4.679852   \n",
       "Music Engagement_Diversity of Music_sd      1.097349  0.801168   1.835460   \n",
       "Music Engagement_Nostalgic Music_change    -0.312989 -3.600169  32.265243   \n",
       "Music Engagement_Nostalgic Music_mean       3.990610  3.891995   4.967957   \n",
       "Music Engagement_Nostalgic Music_sd         1.168488  1.349686   1.783477   \n",
       "\n",
       "Country_Country Name                           Italy         UK        USA  \\\n",
       "Music Engagement_Diversity of Music_change  6.038048  14.277869  12.311558   \n",
       "Music Engagement_Diversity of Music_mean    4.181141   4.428336   4.369347   \n",
       "Music Engagement_Diversity of Music_sd      0.968801   0.930446   1.156557   \n",
       "Music Engagement_Nostalgic Music_change     5.416667  18.426843  18.063872   \n",
       "Music Engagement_Nostalgic Music_mean       4.162500   4.552805   4.541916   \n",
       "Music Engagement_Nostalgic Music_sd         1.204328   1.161226   1.291087   \n",
       "\n",
       "Country_Country Name                            TOTAL  \n",
       "Music Engagement_Diversity of Music_change   9.717466  \n",
       "Music Engagement_Diversity of Music_mean     4.291524  \n",
       "Music Engagement_Diversity of Music_sd       1.210012  \n",
       "Music Engagement_Nostalgic Music_change     10.899447  \n",
       "Music Engagement_Nostalgic Music_mean        4.326983  \n",
       "Music Engagement_Nostalgic Music_sd          1.396182  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# diverse music, nostalgic music\n",
    "col_list = ['Music Engagement_Diversity of Music', 'Music Engagement_Nostalgic Music']\n",
    "group_col = 'Country_Country Name'\n",
    "group_numeric(data, col_list, group_col, 1).transpose()\n",
    "\n",
    "#pd.DataFrame(data['Music Engagement_Diversity of Music'].value_counts(dropna=False, normalize=True)).sort_index(ascending=False).round(4)*100\n",
    "#pd.DataFrame(data['Music Engagement_Nostalgic Music'].value_counts(dropna=False, normalize=True)).sort_index(ascending=False).round(4)*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>Country_Country Name</th>\n",
       "      <th>France</th>\n",
       "      <th>Germany</th>\n",
       "      <th>India</th>\n",
       "      <th>Italy</th>\n",
       "      <th>UK</th>\n",
       "      <th>USA</th>\n",
       "      <th>TOTAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Music Engagement_Interest in Others Music_mean</th>\n",
       "      <td>3.021436</td>\n",
       "      <td>2.682033</td>\n",
       "      <td>5.042527</td>\n",
       "      <td>4.150000</td>\n",
       "      <td>3.431856</td>\n",
       "      <td>3.900726</td>\n",
       "      <td>3.696315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Music Engagement_Interest in Others Music_sd</th>\n",
       "      <td>1.840056</td>\n",
       "      <td>1.734259</td>\n",
       "      <td>1.842163</td>\n",
       "      <td>1.912797</td>\n",
       "      <td>1.745964</td>\n",
       "      <td>1.951490</td>\n",
       "      <td>2.004477</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country_Country Name                              France   Germany     India  \\\n",
       "Music Engagement_Interest in Others Music_mean  3.021436  2.682033  5.042527   \n",
       "Music Engagement_Interest in Others Music_sd    1.840056  1.734259  1.842163   \n",
       "\n",
       "Country_Country Name                               Italy        UK       USA  \\\n",
       "Music Engagement_Interest in Others Music_mean  4.150000  3.431856  3.900726   \n",
       "Music Engagement_Interest in Others Music_sd    1.912797  1.745964  1.951490   \n",
       "\n",
       "Country_Country Name                               TOTAL  \n",
       "Music Engagement_Interest in Others Music_mean  3.696315  \n",
       "Music Engagement_Interest in Others Music_sd    2.004477  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# interest in coronamusic\n",
    "col_list = ['Music Engagement_Interest in Others Music']\n",
    "group_col = 'Country_Country Name'\n",
    "group_numeric(data, col_list, group_col,0).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "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>Music Engagement_Interest in Others Music</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7.0</th>\n",
       "      <td>10.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.0</th>\n",
       "      <td>10.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.0</th>\n",
       "      <td>11.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>24.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>7.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>8.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>22.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NaN</th>\n",
       "      <td>5.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Music Engagement_Interest in Others Music\n",
       "7.0                                      10.39\n",
       "6.0                                      10.25\n",
       "5.0                                      11.58\n",
       "4.0                                      24.29\n",
       "3.0                                       7.43\n",
       "2.0                                       8.53\n",
       "1.0                                      22.53\n",
       "NaN                                       5.01"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(data['Music Engagement_Interest in Others Music'].value_counts(dropna=False, normalize=True)).sort_index(ascending=False).round(4)*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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