freedom_and_happiness.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# indices of freedom and democracy for countries, and merging these indices with other metrics commonly associated with happiness and progression"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# references\n",
    "\n",
    "- [list of freedom indices](https://en.wikipedia.org/wiki/List_of_freedom_indices)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import shijian\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline\n",
    "pd.set_option(\"display.max_columns\", 100)\n",
    "sns.set(context = \"paper\", font = \"monospace\")\n",
    "shijian.setup_Jupyter()\n",
    "\n",
    "df = pd.read_csv(\"country_freedom_indices.csv\", delimiter = \",\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>country</th>\n",
       "      <th>Freedom_in_the_World_2018</th>\n",
       "      <th>Index_of_Economic_Freedom_2018</th>\n",
       "      <th>Press_Freedom_Index_2018</th>\n",
       "      <th>Democracy_Index_2017</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Ireland</td>\n",
       "      <td>free</td>\n",
       "      <td>free</td>\n",
       "      <td>good situation</td>\n",
       "      <td>full democracy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>New Zealand</td>\n",
       "      <td>free</td>\n",
       "      <td>free</td>\n",
       "      <td>good situation</td>\n",
       "      <td>full democracy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>free</td>\n",
       "      <td>free</td>\n",
       "      <td>good situation</td>\n",
       "      <td>full democracy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         country Freedom_in_the_World_2018 Index_of_Economic_Freedom_2018  \\\n",
       "83       Ireland                      free                           free   \n",
       "131  New Zealand                      free                           free   \n",
       "178  Switzerland                      free                           free   \n",
       "\n",
       "    Press_Freedom_Index_2018 Democracy_Index_2017  \n",
       "83            good situation       full democracy  \n",
       "131           good situation       full democracy  \n",
       "178           good situation       full democracy  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.query(\"Index_of_Economic_Freedom_2018 == 'free' and Index_of_Economic_Freedom_2018 == 'free' and Press_Freedom_Index_2018 == 'good situation' and Democracy_Index_2017 == 'full democracy'\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Re-encode string values as numerical values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df[\"Freedom_in_the_World_2018\"].replace(\n",
    "    {\n",
    "        \"free\"                  : 3,\n",
    "        \"partly free\"           : 2,\n",
    "        \"not free\"              : 1\n",
    "    },\n",
    "    inplace = True\n",
    ")\n",
    "df[\"Index_of_Economic_Freedom_2018\"].replace(\n",
    "    {\n",
    "        \"free\"                  : 5,\n",
    "        \"mostly free\"           : 4,\n",
    "        \"moderately free\"       : 3,\n",
    "        \"mostly unfree\"         : 2,\n",
    "        \"repressed\"             : 1 \n",
    "    },\n",
    "    inplace = True\n",
    ")\n",
    "df[\"Press_Freedom_Index_2018\"].replace(\n",
    "    {\n",
    "        \"good situation\"        : 5,\n",
    "        \"satisfactory situation\": 4,\n",
    "        \"noticeable problems\"   : 3,\n",
    "        \"difficult situation\"   : 2,\n",
    "        \"very serious situation\": 1 \n",
    "    },\n",
    "    inplace = True\n",
    ")\n",
    "df[\"Democracy_Index_2017\"].replace(\n",
    "    {\n",
    "        \"full democracy\"        : 4,\n",
    "        \"flawed democracy\"      : 3,\n",
    "        \"hybrid regime\"         : 2,\n",
    "        \"authoritarian regime\"  : 1\n",
    "    },\n",
    "    inplace = True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ELGARIWI2016        = pd.read_csv(\"ILGA-RIWI_2016.csv\", delimiter = \",\")\n",
    "PGAHR2014           = pd.read_csv(\"Pew_Global_Attitudes_Homosexuality_Report_2014.csv\", delimiter = \",\")\n",
    "WHR2017             = pd.read_csv(\"World_Happiness_Report_2017.csv\", delimiter = \",\")\n",
    "country_coordinates = pd.read_csv(\"country_coordinates.csv\", delimiter = \",\")\n",
    "UNODC2014           = pd.read_csv(\"UNODC_murder_rates_2014.csv\", delimiter = \",\")\n",
    "country_employment  = pd.read_csv(\"country_employment.csv\", delimiter = \",\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# merge freedom and happiness, and generate a hierarchical cluster map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "WHR2017.rename(columns = {\"Country\": \"country\"}          , inplace = True)\n",
    "WHR2017.rename(columns = {\"Overall Rank\": \"overall_rank\"}, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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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>country</th>\n",
       "      <th>Freedom_in_the_World_2018</th>\n",
       "      <th>Index_of_Economic_Freedom_2018</th>\n",
       "      <th>Press_Freedom_Index_2018</th>\n",
       "      <th>Democracy_Index_2017</th>\n",
       "      <th>overall_rank</th>\n",
       "      <th>Change in rank</th>\n",
       "      <th>Score</th>\n",
       "      <th>Change in score</th>\n",
       "      <th>GDP per capita</th>\n",
       "      <th>Social support</th>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <th>Freedom to make life choices</th>\n",
       "      <th>Generosity</th>\n",
       "      <th>Trust</th>\n",
       "      <th>Residual</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>141</td>\n",
       "      <td>13.0</td>\n",
       "      <td>3.794</td>\n",
       "      <td>0.434</td>\n",
       "      <td>0.401</td>\n",
       "      <td>0.582</td>\n",
       "      <td>0.181</td>\n",
       "      <td>0.106</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.061</td>\n",
       "      <td>2.151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albania</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>109</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.644</td>\n",
       "      <td>-0.011</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.804</td>\n",
       "      <td>0.731</td>\n",
       "      <td>0.381</td>\n",
       "      <td>0.201</td>\n",
       "      <td>0.040</td>\n",
       "      <td>1.490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>53</td>\n",
       "      <td>-15.0</td>\n",
       "      <td>5.872</td>\n",
       "      <td>-0.483</td>\n",
       "      <td>1.092</td>\n",
       "      <td>1.146</td>\n",
       "      <td>0.618</td>\n",
       "      <td>0.233</td>\n",
       "      <td>0.069</td>\n",
       "      <td>0.146</td>\n",
       "      <td>2.568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Angola</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>140</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.795</td>\n",
       "      <td>-0.071</td>\n",
       "      <td>0.858</td>\n",
       "      <td>1.104</td>\n",
       "      <td>0.050</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.098</td>\n",
       "      <td>0.070</td>\n",
       "      <td>1.614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>24</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.599</td>\n",
       "      <td>-0.051</td>\n",
       "      <td>1.185</td>\n",
       "      <td>1.440</td>\n",
       "      <td>0.695</td>\n",
       "      <td>0.495</td>\n",
       "      <td>0.109</td>\n",
       "      <td>0.060</td>\n",
       "      <td>2.614</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       country  Freedom_in_the_World_2018  Index_of_Economic_Freedom_2018  \\\n",
       "0  Afghanistan                        1.0                             2.0   \n",
       "1      Albania                        2.0                             3.0   \n",
       "2      Algeria                        1.0                             1.0   \n",
       "3       Angola                        1.0                             1.0   \n",
       "4    Argentina                        3.0                             2.0   \n",
       "\n",
       "   Press_Freedom_Index_2018  Democracy_Index_2017  overall_rank  \\\n",
       "0                       2.0                   1.0           141   \n",
       "1                       3.0                   2.0           109   \n",
       "2                       2.0                   1.0            53   \n",
       "3                       2.0                   1.0           140   \n",
       "4                       3.0                   3.0            24   \n",
       "\n",
       "   Change in rank  Score  Change in score  GDP per capita  Social support  \\\n",
       "0            13.0  3.794            0.434           0.401           0.582   \n",
       "1             0.0  4.644           -0.011           0.996           0.804   \n",
       "2           -15.0  5.872           -0.483           1.092           1.146   \n",
       "3             1.0  3.795           -0.071           0.858           1.104   \n",
       "4             2.0  6.599           -0.051           1.185           1.440   \n",
       "\n",
       "   Healthy life expectancy  Freedom to make life choices  Generosity  Trust  \\\n",
       "0                    0.181                         0.106       0.312  0.061   \n",
       "1                    0.731                         0.381       0.201  0.040   \n",
       "2                    0.618                         0.233       0.069  0.146   \n",
       "3                    0.050                         0.000       0.098  0.070   \n",
       "4                    0.695                         0.495       0.109  0.060   \n",
       "\n",
       "   Residual  \n",
       "0     2.151  \n",
       "1     1.490  \n",
       "2     2.568  \n",
       "3     1.614  \n",
       "4     2.614  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "freedom_and_happiness = pd.merge(df, WHR2017, on = \"country\", how = \"inner\")\n",
    "df = freedom_and_happiness\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GJR8AAKBW+/jjj/XAAw8oIyND33//vdq3b6+//e1vcjqdys3NVVhYmFJSUjRy5Eilp6dr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\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.clustermap(df.corr())\n",
    "_ = plt.setp(plot.ax_heatmap.get_yticklabels(), rotation = 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Require an overall happiness index rank."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = df[np.isfinite(df[\"overall_rank\"])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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2PbTnWmw6233oNA/FNQAA1JHY9OGK9aHPndHT9H82pIuBZgAAZerND8TGzdsz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\n15IkSZIkFekvWmDsb3c8vAAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1224x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x=\"Healthy life expectancy\", y=\"overall_rank\", style=\"o\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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egXrQGgQcSnENv6b/EvLBpHegXrQGAUMpriH0X0KelOKcQ/+fN+kdAKiV4prc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\n",
      "text/plain": [
       "<Figure size 1224x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x=\"Freedom to make life choices\", y=\"overall_rank\", style=\"o\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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muQaAKcQtgdlMxrOTkHQ0HahMLBwA/pG4JZB2aYimA9Nzcw0A/0jcEphO2kZF\nko6mA9PTXAPAPxK3BE6U1lGRJKPpwPTEwgHgH4lbAlMZFQFq4eYaAKYQtwQmGRUBaqG5BoATiFtC\nOiQ962xUBKiF5hoAgNRJw6zz5KjI1HMYFQEq0VwDAJAqlWadVw4Ptb2xNSoCVMtCMwCAghotj8eO\nkd2pW9A106xzEvpLPbF86aDGGpiRm2sAgAJKQ+y6ErPOQBa5uQYAKJi0PzHlWTwgi9xcAwAUTBae\nmDLrnG9Jb4KHVtBcAwAUTFZi157Fy6c0jyRAI8TCAQAKRuyapKR9JAEa4eYaAKCA0hC7Fg0uniyM\nJEC9NNcAAAWVZOxaNLiYsjKSAPUQCwcAoK1Eg4vLSAJ55uYaAIC2Eg0utjSMJEAraK4BAGirIkaD\nzZcfzyZ48khzDQBAW01Gg6fOXOc5Gmy+HIpBcw0AQNsVJRpcab585fBQbv/MUFQWmgEAkIj+Uk8s\nXzqY6yZzpvlymmPPvgOxY2S3hXgkzs01AAC0SBHny9vpsW0vxoNf/14cPiJyT/LcXAMAQIt4eqp1\nJiP3h4940o10cHMNAEAmZHXjdlHmy9vNk26kjeYaAIDUy/rGbU9PNZ/IPWkjFg4AQKpV2rgt/lts\nk5H77i6Re9LBzTUApEBW467QDuK/VLLqwtPj0osXx85nX/XfTxKnuQaAhGU97gqtJv7LTAb65sby\npYNJHwPEwgEgSeKuMDsbt4EscHMNAAkSd4XqZHnjtrEPKAbNNQAkSNwVqpfFjdvGPqA4xMIBIEHi\nrpBfxj6gWNxcA0DCshx3BSoz9gHForkGgBTIYtwVmJmxj2wwE0+zaK4BAKAFJsc+ps5cG/tIFzPx\nNJPmGgAAWsTYR3pVmolfOTykTtTFQjMAAGih/lJPLF862LSGbbQ8HjtGdluM1qCZZuKhHm6uAQAg\nI8SYm8dMPM3m5hoAADLA017N5SlEmq2um+v9+/fHhz/84Thw4EC87W1vi9/+7d+OjRs3xquvvhrX\nXHNNrFq1qtnnBICIsNUVKC5PezWfmXiaqa7m+pvf/GZceOGFcf3118c111wTf/M3fxMXXXRRXHHF\nFbF+/XrNNQAtIQ4JFJkYc2t4CpFmqSsWvnjx4hgfH4+JiYmYmJiIp556Ki644IKYM2dOzJ8/P/bt\n29fscwJQcOKQQNGJMUO61XVzfcYZZ8S2bdvife97X7z3ve+NPXv2xNjYWGzZsiV6e3tj37590dfX\n96bPK5V6oru7q+FDt0tXV2csWDAv6WNQBbXKDrXKjrTVauTl6eOQu398KBYvGkjoVOmQtlpRmVo1\n3559B+K5Xa/HkoXzY6BvbtOHOe2YAAAgAElEQVS+blprdfmlZ8elFy9uyZ85q9JaK94s77Wqq7l+\n6KGH4p/9s38WV111VfzO7/xOHDp0KE4++eS47rrr4oYbbpi2sY6IKGfsdmHBgnmxd+/+pI9BFdQq\nO9QqO9JWq8Hek6aNQw72npSqcyYhbbWiMrVqrlaOiqS5Vh0RsfS0UsSRo6k9YzuluVYcLw+1OvXU\n6XvdiDpj4YcOHYre3t6IiOjr64tzzjkntm/fHgcPHozR0dGKzTUA1EscEpjKqAiQNnXdXP/Kr/xK\n/M7v/E58+ctfjre+9a1xzTXXxMaNG+ORRx6JDRs2NPuMABARtrpCEVT7IoDN2UDa1NVcDwwMxH33\n3Xfcx+64446mHAgAZmKrK+RXLTFvm7OBtKkrFg4AAM1Ua8zbqAiQNnXdXAMAQDPVE/M2KgKkieYa\nAGAW1c4BU796Y95GRYC00FwDAMyglc898ROTMe+p/78W8wayRHMNAFBBpTnglcNDmr4WEPMGssxC\nMwCACmaaA6Y1+ks9sXzpoMa6AEbL47FjZLe3yckNN9cAABV47glaw7gFeeTmGgCgAs89QfPV+uwa\nZIWbawCAGZgDhpnVuk2/nmfXIAs01wAAs/DcE0yvnni3cQvySiwcAACoWb3xbuMW5JWbawAAaLFa\no9NZ0Ei827gFeaS5BgCAFsrrZuxG493GLcgbsXAAAGiRPG/GFu+G47m5BgCAFqk1Op21+Lh4N/yE\n5hoAAFqkluh0VuPj4t3wBrFwAABokWqj03mOj0NRuLkGAIAWqiY63cjmbSAdNNcAANBis0WnF/TO\nic7Ojjha5+ZtIHmaawAASNDkrPWJjbXN25AtmmsAAEjIibPWERGdHRG3fvDCOP20vgRPBtTKQjMA\nAEjIdLPWRyci9v74YIyWx2PHyG5LzSAj3FwDAEBCKj3V9dwPX48/+cvvZu5ZLigyN9cAAJCQ6Z7q\n+hfvPDP+6u+e9ywXZIybawAASNCJT3W94Fkuphgtj8/4jBvpobkGAICETX2q64yIaaPinuUqnslN\n8sYDskEsHAAAUmS6qLhnuYrnxE3yxgPSz801AACkzIlR8TQ21uLKrTXdJnnjAemmuQYAgBSaGhVP\nG3Hl1qu0Sd54QHqJhQMAAFUTV24P4wHZ4+YaAACoWq1xZfHx+mVhPICf0FwDAABVqyWuLD7euDSP\nB3A8sXAAAKBq1caVxccpGjfXAABATaqJK9t2TdForgEAgJrNFlfOw7Zr8+LUQnMNAAA03WR8fOrM\ndZa2XZsXp1aaawAAoCWyuu260rz4yuGhzPwZaD8LzQAAgJbpL/XE8qWDmWpKZ5oXr9VoeTx2jOy2\nyK0A3FwDAABM0ax5cdHyYnFzDQAAMEW1z43NxFNkxePmGgCAxNjGTFo1Oi/uKbLi0VwDAJAIkVnS\nbrbnxmaSh6fIqI1YOAAAbScyS941I1pOtri5BgCg7bIWmRVfpx5ZfYqM+miuAQBouyxFZsXXaUQj\n0XKyRSwcAIC2y0pkVnwdqJabawAAEpGFyGzW4utAcjTXAAAkJu2R2Zni6+awgak01wAAUMFkfH3q\nzPWaS86K//70K+awgeNorgEAYAYnxtcnIuKmTd960xz2yuEhN9hQYBaaAQDALPpLPbF86WD0l3pm\nnMMm30bL47FjZLeFdkzLzTUAANQgS8+I0TyeZGM2bq4BAKAGWXlGjObxJBvVcHMNAAA1ysIzYjSP\nJ9mohuYaAADqkPZnxGgeowBUQywcAABgBkYBqEbdN9ef+9zn4u///u9j0aJF8Yd/+IexcePGePXV\nV+Oaa66JVatWNfOMAABAwYyWx1MVuzcKwGzqaq6fffbZeOmll+KBBx6IiIhHHnkkLrroorjiiiti\n/fr1mmsAAKBuad3MbRSAmdQVC9+2bVt0dXXFunXrYsuWLbFz58644IILYs6cOTF//vzYt29fs88J\nAAAUgM3cZFVdN9ejo6MxNjYWDzzwQFx33XUxNDQUY2NjsWXLlujt7Y19+/ZFX1/fmz6vVOqJ7u6u\nhg/dLl1dnbFgwbykj0EV1Co71Co71Co71Co71Co71Co5Iy9Pv5l7948PxeJFA2/69Xmo1Z59B+K5\nXa/HkoXzY6BvbtLHaZk81GomdTXXvb29sWLFioiIGB4eju985ztx8sknx3XXXRc33HDDtI11REQ5\nY//atGDBvNi7d3/Sx6AKapUdapUdapUdapUdapUdapWcwd6Tpt3MPdh70rQ1yXqt0hqBb4Ws1yoi\n4tRTp+91I+qMhQ8PD8f3v//9iIh44YUX4ud//udj+/btcfDgwRgdHa3YXAMAAMykSJu5ReDzpa6b\n6wsuuCAefPDBWLduXSxfvjzWr18fGzdujEceeSQ2bNjQ7DMCAAAFUpTN3C++Mn0E/oVXyhanZVBd\nzXVnZ2d8+tOfPu5jd9xxR1MOBAAAWZW256OyrAibuc8YKk0bgT9jqJTgqahX3e9cAwAAP1Gk2Vma\nYzICP/XvTV4j8EWguQYAgAZVmp1dOTykUWJGRYnAF0FdC80AAKCdRsvjsWNkd2oXPc00Owuz6S/1\nxPKlgxrrjHNzDQBAqmUhbm12FnBzDQBAamXlqaIiPR8FTM/NNQAAbVftVu0sPVVkdhaKTXMNAEBb\n1RLzzlrcugjPRwHTEwsHAKBtao15i1sDWeHmGgCAtqkn5p33uHW1EXkg3TTXAAC0Tb0x77zGrbOw\nCR2ojlg4AABtI+b9E1nZhA5Ux801AABtlfeYd7WytAk9C8TrSZrmGgCAtstrzLsWWduEnmbi9aSB\nWDgAACRARL45Xnv9gHg9qeDmGgAAEiIi37jnf/i6eD2poLkGACC1ijBHKyLfmCUL54vXkwqaawAA\nUskcLdUY6Jsbqy8567i/K+L1JEFzDQBA6lR6pmrl8JCmiTcRrycNLDQDACB1ZnqmCqbTX+qJ5UsH\nU9VYj5bHY8fIbsvVCsLNNQAAqeOZKrLOWEPxuLkGACB1PFNFllUaa3CDnW9urgEASCVztLRTMzfT\nzzTWYDN8fmmuAQBILc9U0Q7NjnAbaygmsXAAAKCwWhHhNtZQTG6uAQA4TjPjsZB2rYpwG2soHs01\nAADH2HBM0bQywm2soVjEwgEAiAgbjikmEW6axc01AAARYcMxxdXMCLexiuLSXAMAEBE2HFNszYhw\nG6soNrFwAAAiQjwWGmGsAjfXAAAcY8Mx1MdYBZprAACOY8MxvKGW+WljFWiuAQAATlDr/PTkWMXU\nzzFWUSyaawAAgCkqzU+vHB6asVk2VlFsFpoBAABMMdP89Gz6Sz2xfOlgJhrr0fJ47BjZbelak7i5\nBgAAmKII89OeDWs+N9cAAABT5P1ZOs+GtYabawAAgBNMzk//r3/YExER5yweSPhEzePZsNbQXAMA\nAEzjvz/9Si6j00WIvSdBLBwAAOAEeY5O5z32nhQ31wAAFMJoedwTSVQt79Fpz4Y1n+YaAIDcsxmZ\nWhUhOt1f6snFPxSkhVg4AAC5lud4L60jOk2t3FwDAJBreY/30jqi09RCcw0AQK4VId4bYaa8VUSn\nqZbmGgCAXJuM906duc5bvNdMOSRPcw0AQO7lOd5baaZ85fBQrv6ckHaaawAACiGv8V4z5ZAOtoUD\nAECGnTFUio6O4z/W0RG5mymHtNNcAwBAhk1ExAm99Zt+DLSe5hoAADLsxVfKcUIqPI5ORLzwSjmZ\nA0FBaa4BACDDnvvh62/6WB6fGoO001wDAEBG7S2Px1/93fNv+vi/eOeZNoVDm2muAQAgo6bbFB4R\nceZb5zf8tUfL47FjZHeMlscb/lpQBJ7iAgCAjDpjqBRdnR3HNdjNiIQ/tu3FY29nd3V2xOpLzopV\nF57e6HEh19xcAwBARvWXemL1JWdFV+cb+8G7OjtizSVnNRQJ31seP9ZYR7zxZvbWr33PDTbMou6b\n602bNsXIyEh84hOfiI0bN8arr74a11xzTaxataqZ5wMAAGaw6sLTY+XwULzwSjnOGCo1PGs9XdT8\nyNGJeOGVciw3x91Wo+XxptWV1qurud6/f3889dRTMXfu3HjsscfioosuiiuuuCLWr1+vuQYAgDbr\nL/U0rfFtVdSc2ojmZ09dsfCtW7fGr/7qr0ZExM6dO+OCCy6IOXPmxPz582Pfvn1NPSAAANA+rYia\nUxvR/Gyq+eb64MGD8dRTT8Wll14ajz76aJTL5RgbG4stW7ZEb29v7Nu3L/r6+qb93FKpJ7q7uxo+\ndLt0dXXGggXzkj4GVVCr7FCr7FCr7FCr7FCr7Ch6rS6/9Oy49OLF8dyu12PJwvkx0Dc36SNVlMda\njbw8fTR/948PxeJFAwmdqnF5rNVUNTfXDz30ULzvfe879uNSqRQnn3xyXHfddXHDDTdUbKwjIsoZ\n+5eWBQvmxd69+5M+BlVQq+xQq+xQq+xQq+xQq+xIslZpmbPtiIilp5UijhxN9d/bPP7varD3pGmj\n+YO9J2X6z5qHWp16auV+t+bm+vnnn4+vfvWrMT4+Hs8//3xs3Lgxtm/fHj/7sz8bo6OjMzbXAABA\nZeZsifhJNH/q3wXR/PSrubm+6aabIiLiBz/4QXz2s5+Nf/7P/3ls3LgxHnnkkdiwYUPTDwgAAEVQ\nac525fCQpqqAmr0Fntar+ymuRYsWxW233RYREXfccUfTDgQAAEXkCaw3pCUWnwbN3AJP69XdXAMA\nAM3jCSyxeLKtrqe4AACA5ir6E1ienyLr3FwDAEBKNDJnm/U4tVg8Wae5BgCAFKlnzjYPcWqxeLJO\nLBwAADIsL3HqosfiyT431wAAkGF5ilPXE4vfs+9A7BzZndk4PPmhuQYAgAzLW5y6llj8Y9tejAe/\n/r04fCS7cXjyQywcAAAyrKhx6sk4/OEj2Y7Dkx9urgEAIEOm2wreyJbxrMpTHJ580FwDAEBGzLQV\nvJ4t41mWtzg82ScWDgAAGZCXreDNMhmH7+4qVhye9HJzDQAAGSAG/WarLjw9Lr14cex89tXCxOFJ\nLzfXAACQAZMx6KnEoCMG+ubG8qWDGusTjJbHY8fI7sImG5Lg5hoAADJgMgY9deZaDJrpzDSbT+to\nrgEAICOKuBWc2lSazV85POTvS4uJhQMAQIb0l3oKE4MWba7dTLP5tJabawAAIHVEm+vjibLkuLkG\nAABSxbNj9ZuczZ9cfmc2v33cXAMAAKnS6mfHRsvjuZ5bN5ufDM01AACQKq2MNhclbt5f6ins++dJ\nEQsHAABSpVXRZnFzWsnNNQAAkDpTo80LeufE3h8fjNHyeEMNdqvj5hSb5hoAAEil/lJP/OjpV+JP\n/vK7TYlx26RNK4mFAwAAqdTsGLdN2rSSm2sAACBRlbZ3tyLGbZM2raK5BgAAEjPT9u5Wxbht0qYV\nxMIBAIBEzBb7FuMmS9xcAwAAiagm9i3GTVZorgEAIAUqzR3nWbWxbzFuskBzDQAACZtp7jjPJmPf\nU//sYt9kleYaAAASVGnueOXwUCGaTLFv8sJCMwAASNBMc8dF0V/qieVLB5vWWI+Wx2PHyO6638OG\neri5BgCABLXquamiKmrEnuS5uQYAgAR5bqp5ZnvaC1rJzTUAACTM3HFzVPO0V1oUcTt83mmuAQAg\nBTw31bisROxF1/NJLBwAAMiFLETsRdfzy801AADQdEnFntMesc9SdJ3aaK4BAICmSjr2nOaIfVai\n69ROLBwAAGgaseeZZSG6Tn3cXAMAQBVsd66O2PPs0h5dpz6aawAAmEXSMecsEXuuTpqj69RHLBwA\nAGYg5lwbsWeKys01AADMQMy5dmLPFJHmGgAAZiDmXJ+sxp7N1lMvzTUAAMxgMuY8deZazDmfzNbT\nCM01AADMQsw5/yrN1q8cHlJvqqK5BgCAKmQ15szsRsvj8c3v7DJbT0M01wAAQGFNjYKfyGw9tfAU\nFwAAUEgnRsGnMltPrdxcAwAAhTTdM2sREb/+riXxT1cs1FhTEzfXAABAIT33w9ff9LGuzg6NNXXR\nXAMAAIWztzwef/V3z7/p4//inWdqrKmL5hoAAFJqtDweO0Z2x2h5POmj5E6lSPiZb52fwGnIAzPX\nAACQQlO3WHd1dsTqS86KVReenvSxcuOMoVJ0dXYc12DbDk4j3FwDAEDKnLjF+sjRidj6te+5wW6i\n/lJPrL7krOjq7IgI28FpnJtrAABImekiy0eOTsQLr5RjueavaVZdeHqsHB6KF14pxxlDJY01Danr\n5vqJJ56Iyy67LNauXRtf/vKXY3x8PH7rt34r1qxZE4899lizzwgAAIUyGVmeaqbIstns+vWXemL5\n0kGNNQ2r6+b6zDPPjC9+8YvR1dUVq1evjjlz5sRFF10UV1xxRaxfvz5WrVrV7HMCAEBhTEaWp85c\nV4osm82GdKiruT7ttNOO/d9z5syJnTt3xi//8i/HnDlzYv78+bFv377o6+tr2iEBAKBoqoksV5rN\nXjk85CYW2qyhmeuvfOUr8e53vztefPHFGBsbiy1btkRvb2/F5rpU6onu7q5Gfsu26urqjAUL5iV9\nDKqgVtmhVtmhVtmhVtmhVtmRllotWDAvFi8aqPjzIy9PP5u9+8eHZvy8PElLrRq1Z9+BeG7X67Fk\n4fwY6Jub9HFaIi+1qqTu5vqFF16Ihx56KO6444647bbb4uSTT47rrrsubrjhhoq31uWMzYAsWDAv\n9u7dn/QxqIJaZYdaZYdaZYdaZYdaZUdWajXYe9K0z0kN9p6UifM3Q1ZqNZOiRPvzUKtTT62c0K5r\nodmBAwfi4x//ePzhH/5hdHd3x7Jly2L79u1x8ODBGB0dFQkHAIA28JxU9nl2LT/qurn+8pe/HCMj\nI/HRj340IiLuuuuu2LhxYzzyyCOxYcOGph4QAACozHNSyRgtjzfl/+eeXcuPuprrD3zgA/GBD3zg\nuI/dcccdTTkQAABQm/5Sj0asjZoZ4558du3EaH+lZ9dIr7pi4QAAAEXU7Bi3aH9+NLQtHAAAoEgq\nxbj/1z/siZ8/96fq+pqi/fmguQYAAKjSdDHuiIi7H3kq9o0dqjseLtqffWLhAAAAVToxxj3p6ETY\n8l1wmmsAAIAarLrw9Njw/nPe9PHJLd8Rb2wT3zGyW7NdIGLhAAAANTpn8UDFLd/N3CZOdri5BgAA\nqFGlLd8TEU3dJk52uLkGAACow3RbvneM7J52m/gLr5QtLMs5zTUAAECdTtzyPd028cm4eBaMlsc9\nCVYnzTUAAECTTMbFp85cr7nkrEw0qmbFG6O5BgAAaKLp4uJpt7c8Pu2s+MrhoUycPw0sNAMAAHKv\n3U9j9Zd6YvnSwcw0pi++Uq44K0513FwDAAC5Ju48u6zPiqeBm2sAACC3KsWdPY11vEpPi2Xl5j0N\n3FwDAAC5NVPcudGnsfK2WTuLs+JporkGAAByq1Vx57xGzU98WozqiYUDAAC51Yq4s6g503FzDQAA\n5NZoeTx+6pR5cesHL4y9Pz7YlLhzK6PmZJfmGgAAyKXpotvLlw42/HVt1mY6YuEAAEDutDK6bbM2\n03FzDQAAJK7Zm7dbHd22WZsTaa4BAIBEtWLzdjui2zZrM5VYOAAAkJhWxbdFt2k3N9cAAEBiWhnf\nFt2mnTTXAABAYlod305DdLvZ8+Skk+YaAABIzGR8e+rMdZ7i262YJyedNNcAAECi8hrfrjRPvnJ4\nKDd/Rn7CQjMAACBx/aWeWL50MFdN50zz5LUaLY/HjpHdTXmnm9Zwcw0AANACzZonFy3PBjfXAAAA\nLdCM58Ba9VQZzefmGgAAoEUanSdv1VNlNpg3n+YaAACghRp5DqwVT5WJmbeGWDgAAEBKNSNaPpWY\neeu4uQYAAGixRmLYzXyqrFUxczTXAAAALdWMGHYj0fKpWhEz5w1i4QAAAC2Sthh2s2Pm/ISbawAA\noHDatS07jTHsZsbM+QnNNQAAUCjt3Jad1hh2s2Lm/IRYOAAAUBjtjmmLYReHm2sAAKAwkohpi2EX\ng+YaAAAojKRi2knHsNs1Y15kmmsAAKAwJmPaU2eu8x7TbueMeZFprgEAgEIpUky70oz5yuGhXP+5\nk2ChGQAAUDj9pZ5YvnQwsw3maHk8dozsnnUR20wz5jSXm2sAAIAMqSXmndanwPLIzTUAAEBG1PqU\nmKfA2sfNNQAAQEbU85RYmmfM87TFXHMNAACQEfXGvJN+Cmw6edtiLhYOAACQEXmJedcab88CN9cA\nAAAZ0syYd1Kx7Hri7WmnuQYAAMiYZsS8k4xl53GLuVg4AABAwSQdy85LvH0qN9cAAAA5NFPkOw2x\n7DRvMa+H5hoAACBnZot8pyWWncYt5vUSCwcAAMiRaiLfeYxlJ83NNQAAQI5UG/nOWyw7aU25uZ6Y\nmIiPfexjsXbt2njggQea8SUBAACow2Tke6pKke/+Uk8sXzqosW6CpjTXTz75ZPT29sYXvvCF+OpX\nvxrj49l9+BsAACDLRL6T0ZRY+M6dO+OCCy6Ijo6OOPvss+O5556L4eHhZnxpAAAAaiTy3X4dExMT\nE7P/splt3rw5hoeHY9u2bdHd3R2/+Iu/GBdddNGbft3Y2MHo7u5q9Ldrm66uzjhy5GjSx6AKapUd\napUdapUdapUdapUdapUdapUdeajVSSdV7mebcnNdKpXi4MGDcdNNN8UnPvGJ6Ovrm/bXldv0IHmz\nLFgwL/bu3Z/0MaiCWmWHWmWHWmWHWmWHWmWHWmWHWmVHHmp16qnT97oRTZq5XrZsWWzfvj0iIp5+\n+ulYsmRJM74sAAAAZEJTmuvzzz8/RkdHY+3atfHe9743enrk+QEAACiOpsTCOzo64pOf/GQzvhQA\nAABkTlNurgEAAKDINNcAAADQIM01AAAANEhzDQAAAA3SXAMAAECDNNcAAADQIM01AAAANEhzDQAA\nAA3SXAMAAECDNNcAAADQIM01AAAANEhzDQAAAA3SXAMAAECDNNcAAADQIM01AAAANEhzDQAAAA3q\nmJiYmEj6EAAAAJBlbq4BAACgQZprAAAAaJDmGgAAABqkuQYAAIAGaa4BAACgQYVvricmJuJjH/tY\nrF27Nh544IFpf82ePXti/fr1sWbNmnjyySfbfEImVVOrP//zP4/LL788PvCBD8T//J//s80nZFI1\ntZp09dVXx4MPPtimk3Giamp14MCBuPHGG+Oqq66Ke++9t70H5JhqavXMM8/E2rVrY/Xq1fHoo4+2\n+YRMGhsbi8suuyzOO++8OHz48LS/xvcW6VFNvXx/kQ7V1GqS7y+SVU2t8vj9ReGb6yeffDJ6e3vj\nC1/4Qnz1q1+N8fHxN/2arVu3xrp162Lz5s2xadOmBE5JRHW1eu973xsPPvhg3HbbbWqVoGpqFRHx\nne98Jw4dOtTm0zFVNbX60pe+FO9617vi/vvvj6uvvrr9hyQiqqvVf/gP/yFuuumm+PznP5+bb1Sy\naM6cOXH33XfHihUrKv4a31ukRzX18v1FOlRTqwjfX6RBNbXK4/cXhW+ud+7cGRdccEF0dHTE2Wef\nHc8991zFX3PKKafE2NhYAqckorpa/fRP/3RERHR2dkZPT0+7j8g/qqZWEW/8R/VXfuVX2nw6pqqm\nVtu2bYtnnnkmrrzyyvjGN76RwCmJqK5WS5Ysif3798eBAweiVColcEoiIrq6umJgYGDGX+N7i/So\npl6+v0iHamoV4fuLNKimVnn8/qLwzXW5XI45c+bEZz7zmejt7Y19+/ZN+2t27doVDz74YExMTCRw\nSiKqq9WkLVu2xJVXXtnG0zFVNbV69tln47TTTos5c+YkcEImVVOr0dHROPPMM+POO+90Y5Ogamr1\nC7/wC/HHf/zH8Wu/9mv+G5hyvrfIJt9fpJ/vL7Ijj99fFL65LpVKcfDgwbjpppti//790dfXN+2v\nWbhwYVx++eXR0dGRwCmJqK5WERGPPvpozJs3L84///w2n5BJ1dTqvvvuiyuuuCKB0zFVNbXq7e2N\nFStWRG9vb3R3dydwSiKqq9Xtt98ef/InfxJf+cpXYsuWLQmckmr53iJ7fH+RDb6/yI48fn9R+OZ6\n2bJlsX379oiIePrpp2PJkiUxNjYWu3btetOv2bNnT8ydOzepoxZeNbX6/ve/H//pP/2n+MhHPpLU\nMYnqavXDH/4wbrrppvjzP//zuO++++Kll15K6riFVk2tzj777BgZGYnDhw/PukCG1qmmVocOHYre\n3t7o6ekRNU4Z31tki+8vssP3F9lRhO8vCt9cn3/++TE6Ohpr166N9773vdHT0xPf/e534+abbz72\na9asWRN/8Rd/ER/60Ifi+uuvT/C0xVZNrW6//fZ46aWX4uqrr45bb701wdMWWzW1uueee+Kee+6J\n9evXxwc/+MFj82y0VzW1uuKKK+KLX/xirFu3Ln7jN34jwdMWWzW1uuaaa+LGG2+MNWvWxK/92q8l\neFquvfbaePrpp2PDhg3x/e9/3/cWKTdbvXx/kR6z1cr3F+kxW63y+P1Fx4RBHwAAAGhI4W+uAQAA\noFGaawAAAGiQ5hoAAAAapLkGAACABmmuAQAAoEGaawCo09GjR+OWW26JK6+8MtasWRPbtm2r6+vc\ncsstM/78kSNH4qqrrooLL7wwXnvttbp+j3Z64IEHkj4CALSd5hoA6vTf/tt/i97e3vj85z8f//7f\n//v4J//kn9T1dT75yU/O+PNdXV1x//33xznnnFPX12+3L3zhC0kfAQDarjvpAwBAVnV1dcUzzzwT\nr776apx66qnR398fERFf+tKX4gtf+EJ0dHTE7/7u78ZFF10U4+Pj8Xu/93vx8ssvR1dXV2zatCkO\nHToUH/7wh+OZZ56JJ5544tjXveqqq2JiYiK6urriE5/4RCxatKjqM/3v//2/41/9q38VnZ2dMTQ0\nFP/m3/yb+MEPfhB/9Ed/FHfeeWc88cQT8eijj8att94al1xySaxYsSKef/75+N3f/d14xzveEVdd\ndVUsXrw4nn322XjPe9vyJXkAAAOjSURBVN4T1113Xezduzc++tGPxtjYWCxcuDA+9alPRWdnZ9x+\n++0xOjoazzzzTExMTMSnPvWpuPnmm///du4dJP0ujuP427CLOdgNdQiCILQhiKCgBosoaJCmbhgO\n5VIQROUQhNBlqMUhinCoJQnCKVCaggbHaK+hIXToLkE3zPCZ/vIE/eP/5APPE31e4znn9zvfc7bv\nuZFMJvF6vTidTubm5v71eRcREfk/UnItIiLyRW1tbZycnDA6OorFYmFlZQW73c7W1hZ7e3ukUikm\nJyfZ3d0lEongcDgIBoO8vLxgNBoxm82Ew2Hcbve7/66trVFWVkY0GiUSiTA9Pf3HMR0fH9PQ0MDs\n7CyZTObTtnd3d8zPz/P6+srExAStra0A9PT0sLi4yMDAAENDQ0QiETo7O/F4PCwsLBCPx2lvbwcg\nnU6zvb1NJpPBaDTmxhMOh//hbIqIiHxvOhYuIiLyRQaDAZ/PRzQaxePxEAqFSKVS2O12ioqKsNls\nPD4+AnB2dkZTUxMAJSUlGI0fr28/Pz+zvLyM1+tlc3Mz9/2f6ujooLi4mJmZGUKh0KdtbTYbFouF\nqqqqd/3U1dVRUFBATU0NFxcXJJNJnE4nAA6Hg0QikWvb0tIC8NvxiIiI/BRKrkVERL7o5uaGh4cH\nACorK3l7e6O8vJyLiwvS6TTX19eYzWYAamtrcw+epdPp3+4qx+NxLBYL4XCY4eFhstlsrs5kMpFK\npT6NKZvNMjU1RTAY5PDwkFQqhdls5unpCYDLy8tc28vLS+7v77m9vaW0tDRX/uuY9/n5OTabjerq\nak5PT3N1fz+m/lFSbTAY3sUtIiLyE2iZWURE5Iuurq4IBAKUlJSQzWZZWlrCaDQyMjKCx+PBYDDg\n9/sBGBwczL0s/uvO9cHBATs7O7k7yr29vbhcLkKhED6fD6vVislkyvXX19fH1NQUzc3NBAKBD2M6\nOjpiY2ODdDpNfX095eXlAFitVhYWFshkMhQWFgJQUVFBIBAgkUjk4gTY399nfX2d7u5uLBYL/f39\n+P1+YrEYdrsdl8v16bx0dXUxNjZGY2Mj4+Pjec2xiIjId2HIamlZRETkR3K73cRisXdlXq+X1dVV\nKioq/qOoREREvicdCxcRERERERHJk3auRURERERERPKknWsRERERERGRPCm5FhEREREREcmTkmsR\nERERERGRPCm5FhEREREREcmTkmsRERERERGRPCm5FhEREREREcnTX42khy0gNxtLAAAAAElFTkSu\nQmCC\n",
      "text/plain": [
       "<Figure size 1224x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x=\"Social support\", y=\"overall_rank\", style=\"o\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NTU2MxPbxSpw8c07VDABAzui5TpmeSZaUZUZcDNj6HgEAAFiJk+sUfY9AVrSk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\niLyAbTwxim0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1224x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x=\"Democracy_Index_2017\", y=\"overall_rank\", style=\"o\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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2qTd9/UCSFNcAQFOI7NJIU/X1rxoccNaAphALBwCapjfXHcuX9Ct2qLvp+vpbSb5QjF1D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\n",
      "text/plain": [
       "<Figure size 1224x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x=\"Change in rank\", y=\"overall_rank\", style=\"o\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>country</th>\n",
       "      <th>Index_of_Economic_Freedom_2018</th>\n",
       "      <th>Press_Freedom_Index_2018</th>\n",
       "      <th>Democracy_Index_2017</th>\n",
       "      <th>overall_rank</th>\n",
       "      <th>Change in rank</th>\n",
       "      <th>Score</th>\n",
       "      <th>Change in score</th>\n",
       "      <th>GDP per capita</th>\n",
       "      <th>Social support</th>\n",
       "      <th>Healthy life expectancy</th>\n",
       "      <th>Freedom to make life choices</th>\n",
       "      <th>Generosity</th>\n",
       "      <th>Trust</th>\n",
       "      <th>Residual</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Norway</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.537</td>\n",
       "      <td>0.039</td>\n",
       "      <td>1.616</td>\n",
       "      <td>1.534</td>\n",
       "      <td>0.797</td>\n",
       "      <td>0.635</td>\n",
       "      <td>0.362</td>\n",
       "      <td>0.316</td>\n",
       "      <td>2.277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Denmark</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>7.522</td>\n",
       "      <td>-0.004</td>\n",
       "      <td>1.482</td>\n",
       "      <td>1.551</td>\n",
       "      <td>0.793</td>\n",
       "      <td>0.626</td>\n",
       "      <td>0.355</td>\n",
       "      <td>0.401</td>\n",
       "      <td>2.314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Iceland</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.504</td>\n",
       "      <td>0.003</td>\n",
       "      <td>1.481</td>\n",
       "      <td>1.611</td>\n",
       "      <td>0.834</td>\n",
       "      <td>0.627</td>\n",
       "      <td>0.476</td>\n",
       "      <td>0.154</td>\n",
       "      <td>2.323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>7.494</td>\n",
       "      <td>-0.015</td>\n",
       "      <td>1.565</td>\n",
       "      <td>1.517</td>\n",
       "      <td>0.858</td>\n",
       "      <td>0.620</td>\n",
       "      <td>0.291</td>\n",
       "      <td>0.367</td>\n",
       "      <td>2.277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Finland</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.469</td>\n",
       "      <td>0.056</td>\n",
       "      <td>1.444</td>\n",
       "      <td>1.540</td>\n",
       "      <td>0.809</td>\n",
       "      <td>0.618</td>\n",
       "      <td>0.245</td>\n",
       "      <td>0.383</td>\n",
       "      <td>2.430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.377</td>\n",
       "      <td>0.038</td>\n",
       "      <td>1.504</td>\n",
       "      <td>1.429</td>\n",
       "      <td>0.811</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.470</td>\n",
       "      <td>0.283</td>\n",
       "      <td>2.295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Canada</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>7.316</td>\n",
       "      <td>-0.088</td>\n",
       "      <td>1.479</td>\n",
       "      <td>1.481</td>\n",
       "      <td>0.835</td>\n",
       "      <td>0.611</td>\n",
       "      <td>0.436</td>\n",
       "      <td>0.287</td>\n",
       "      <td>2.187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>New Zealand</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.314</td>\n",
       "      <td>-0.020</td>\n",
       "      <td>1.406</td>\n",
       "      <td>1.548</td>\n",
       "      <td>0.817</td>\n",
       "      <td>0.614</td>\n",
       "      <td>0.500</td>\n",
       "      <td>0.383</td>\n",
       "      <td>2.046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Australia</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.284</td>\n",
       "      <td>-0.029</td>\n",
       "      <td>1.484</td>\n",
       "      <td>1.510</td>\n",
       "      <td>0.844</td>\n",
       "      <td>0.602</td>\n",
       "      <td>0.478</td>\n",
       "      <td>0.301</td>\n",
       "      <td>2.065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.284</td>\n",
       "      <td>-0.007</td>\n",
       "      <td>1.494</td>\n",
       "      <td>1.478</td>\n",
       "      <td>0.831</td>\n",
       "      <td>0.613</td>\n",
       "      <td>0.385</td>\n",
       "      <td>0.384</td>\n",
       "      <td>2.098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Israel</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.213</td>\n",
       "      <td>-0.054</td>\n",
       "      <td>1.375</td>\n",
       "      <td>1.376</td>\n",
       "      <td>0.838</td>\n",
       "      <td>0.406</td>\n",
       "      <td>0.330</td>\n",
       "      <td>0.085</td>\n",
       "      <td>2.802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>12</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.079</td>\n",
       "      <td>-0.008</td>\n",
       "      <td>1.110</td>\n",
       "      <td>1.416</td>\n",
       "      <td>0.760</td>\n",
       "      <td>0.580</td>\n",
       "      <td>0.215</td>\n",
       "      <td>0.100</td>\n",
       "      <td>2.899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Austria</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>13</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>7.006</td>\n",
       "      <td>-0.113</td>\n",
       "      <td>1.487</td>\n",
       "      <td>1.460</td>\n",
       "      <td>0.815</td>\n",
       "      <td>0.568</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.221</td>\n",
       "      <td>2.139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>United States</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>14</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>6.993</td>\n",
       "      <td>-0.111</td>\n",
       "      <td>1.546</td>\n",
       "      <td>1.420</td>\n",
       "      <td>0.774</td>\n",
       "      <td>0.506</td>\n",
       "      <td>0.393</td>\n",
       "      <td>0.136</td>\n",
       "      <td>2.218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Ireland</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.977</td>\n",
       "      <td>0.070</td>\n",
       "      <td>1.536</td>\n",
       "      <td>1.558</td>\n",
       "      <td>0.810</td>\n",
       "      <td>0.573</td>\n",
       "      <td>0.428</td>\n",
       "      <td>0.298</td>\n",
       "      <td>1.774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Germany</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.951</td>\n",
       "      <td>-0.043</td>\n",
       "      <td>1.488</td>\n",
       "      <td>1.473</td>\n",
       "      <td>0.799</td>\n",
       "      <td>0.563</td>\n",
       "      <td>0.336</td>\n",
       "      <td>0.277</td>\n",
       "      <td>2.016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>17</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.891</td>\n",
       "      <td>-0.038</td>\n",
       "      <td>1.464</td>\n",
       "      <td>1.462</td>\n",
       "      <td>0.818</td>\n",
       "      <td>0.540</td>\n",
       "      <td>0.232</td>\n",
       "      <td>0.251</td>\n",
       "      <td>2.124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Luxembourg</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>18</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.863</td>\n",
       "      <td>-0.008</td>\n",
       "      <td>1.742</td>\n",
       "      <td>1.458</td>\n",
       "      <td>0.845</td>\n",
       "      <td>0.597</td>\n",
       "      <td>0.283</td>\n",
       "      <td>0.319</td>\n",
       "      <td>1.620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>19</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.714</td>\n",
       "      <td>-0.011</td>\n",
       "      <td>1.442</td>\n",
       "      <td>1.496</td>\n",
       "      <td>0.805</td>\n",
       "      <td>0.508</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.265</td>\n",
       "      <td>1.704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Chile</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>20</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.652</td>\n",
       "      <td>-0.053</td>\n",
       "      <td>1.253</td>\n",
       "      <td>1.284</td>\n",
       "      <td>0.819</td>\n",
       "      <td>0.377</td>\n",
       "      <td>0.327</td>\n",
       "      <td>0.082</td>\n",
       "      <td>2.510</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            country  Index_of_Economic_Freedom_2018  Press_Freedom_Index_2018  \\\n",
       "101          Norway                             4.0                       5.0   \n",
       "35          Denmark                             4.0                       5.0   \n",
       "55          Iceland                             4.0                       5.0   \n",
       "127     Switzerland                             5.0                       5.0   \n",
       "42          Finland                             4.0                       5.0   \n",
       "96      Netherlands                             4.0                       5.0   \n",
       "25           Canada                             4.0                       4.0   \n",
       "97      New Zealand                             5.0                       5.0   \n",
       "6         Australia                             5.0                       4.0   \n",
       "126          Sweden                             4.0                       5.0   \n",
       "61           Israel                             4.0                       3.0   \n",
       "31       Costa Rica                             3.0                       5.0   \n",
       "7           Austria                             4.0                       5.0   \n",
       "142   United States                             4.0                       4.0   \n",
       "60          Ireland                             5.0                       5.0   \n",
       "46          Germany                             4.0                       5.0   \n",
       "12          Belgium                             3.0                       5.0   \n",
       "79       Luxembourg                             4.0                       5.0   \n",
       "141  United Kingdom                             4.0                       4.0   \n",
       "28            Chile                             4.0                       4.0   \n",
       "\n",
       "     Democracy_Index_2017  overall_rank  Change in rank  Score  \\\n",
       "101                   4.0             1             3.0  7.537   \n",
       "35                    4.0             2            -1.0  7.522   \n",
       "55                    4.0             3             0.0  7.504   \n",
       "127                   4.0             4            -2.0  7.494   \n",
       "42                    4.0             5             0.0  7.469   \n",
       "96                    4.0             6             1.0  7.377   \n",
       "25                    4.0             7            -1.0  7.316   \n",
       "97                    4.0             8             0.0  7.314   \n",
       "6                     4.0             9             0.0  7.284   \n",
       "126                   4.0            10             0.0  7.284   \n",
       "61                    3.0            11             0.0  7.213   \n",
       "31                    3.0            12             2.0  7.079   \n",
       "7                     4.0            13            -1.0  7.006   \n",
       "142                   3.0            14            -1.0  6.993   \n",
       "60                    4.0            15             4.0  6.977   \n",
       "46                    4.0            16             0.0  6.951   \n",
       "12                    3.0            17             1.0  6.891   \n",
       "79                    4.0            18             2.0  6.863   \n",
       "141                   4.0            19             4.0  6.714   \n",
       "28                    3.0            20             4.0  6.652   \n",
       "\n",
       "     Change in score  GDP per capita  Social support  Healthy life expectancy  \\\n",
       "101            0.039           1.616           1.534                    0.797   \n",
       "35            -0.004           1.482           1.551                    0.793   \n",
       "55             0.003           1.481           1.611                    0.834   \n",
       "127           -0.015           1.565           1.517                    0.858   \n",
       "42             0.056           1.444           1.540                    0.809   \n",
       "96             0.038           1.504           1.429                    0.811   \n",
       "25            -0.088           1.479           1.481                    0.835   \n",
       "97            -0.020           1.406           1.548                    0.817   \n",
       "6             -0.029           1.484           1.510                    0.844   \n",
       "126           -0.007           1.494           1.478                    0.831   \n",
       "61            -0.054           1.375           1.376                    0.838   \n",
       "31            -0.008           1.110           1.416                    0.760   \n",
       "7             -0.113           1.487           1.460                    0.815   \n",
       "142           -0.111           1.546           1.420                    0.774   \n",
       "60             0.070           1.536           1.558                    0.810   \n",
       "46            -0.043           1.488           1.473                    0.799   \n",
       "12            -0.038           1.464           1.462                    0.818   \n",
       "79            -0.008           1.742           1.458                    0.845   \n",
       "141           -0.011           1.442           1.496                    0.805   \n",
       "28            -0.053           1.253           1.284                    0.819   \n",
       "\n",
       "     Freedom to make life choices  Generosity  Trust  Residual  \n",
       "101                         0.635       0.362  0.316     2.277  \n",
       "35                          0.626       0.355  0.401     2.314  \n",
       "55                          0.627       0.476  0.154     2.323  \n",
       "127                         0.620       0.291  0.367     2.277  \n",
       "42                          0.618       0.245  0.383     2.430  \n",
       "96                          0.585       0.470  0.283     2.295  \n",
       "25                          0.611       0.436  0.287     2.187  \n",
       "97                          0.614       0.500  0.383     2.046  \n",
       "6                           0.602       0.478  0.301     2.065  \n",
       "126                         0.613       0.385  0.384     2.098  \n",
       "61                          0.406       0.330  0.085     2.802  \n",
       "31                          0.580       0.215  0.100     2.899  \n",
       "7                           0.568       0.316  0.221     2.139  \n",
       "142                         0.506       0.393  0.136     2.218  \n",
       "60                          0.573       0.428  0.298     1.774  \n",
       "46                          0.563       0.336  0.277     2.016  \n",
       "12                          0.540       0.232  0.251     2.124  \n",
       "79                          0.597       0.283  0.319     1.620  \n",
       "141                         0.508       0.493  0.265     1.704  \n",
       "28                          0.377       0.327  0.082     2.510  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.query(\"overall_rank <= 20\")\n",
    "del df[\"Freedom_in_the_World_2018\"] # all values identical\n",
    "df.sort_values(\"overall_rank\") # sort by happiness index rank"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1r2lX/W2GalJwp+r/ebKm+VzX1tT6FXsPmlbbVez5D2D/r5LtJeceVIPmFxib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\nXfvjiycAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x720 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.clustermap(df.corr())\n",
    "_ = plt.setp(plot.ax_heatmap.get_yticklabels(), rotation = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FENwAAABQAMENAAAABRDcAAAAUADBDQAAAAUQ3AAATCujtbFs2LQlo7WxZo8CzHBtzR4A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\nGNbiKEUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1224x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x=\"Freedom to make life choices\", y=\"overall_rank\", style=\"o\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ZGWu0aSKAuSG4AQAoqre7nlq1ss9jtWolvd31Nk0EMDcENwAARXXVOzPY3zcd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\n",
      "text/plain": [
       "<Figure size 1224x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x=\"Social support\", y=\"overall_rank\", style=\"o\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# observations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\"Healthy life expectancy\", \"Freedom to make life choices\", \"Social support\" and \"Freedom in the World 2018\" all are related to high happiness index score. In addition, the top 20 countries with high happiness index score all uniformly have a high index for \"Freedom in the World 2018\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}