The Algorithms logo
The Algorithms
关于捐赠

K-Fold Cross-Validation of Decision Tree Regression

H
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "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>Overall rank</th>\n",
       "      <th>Country or region</th>\n",
       "      <th>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>Perceptions of corruption</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Finland</td>\n",
       "      <td>7.769</td>\n",
       "      <td>1.340</td>\n",
       "      <td>1.587</td>\n",
       "      <td>0.986</td>\n",
       "      <td>0.596</td>\n",
       "      <td>0.153</td>\n",
       "      <td>0.393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>7.600</td>\n",
       "      <td>1.383</td>\n",
       "      <td>1.573</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.252</td>\n",
       "      <td>0.410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Norway</td>\n",
       "      <td>7.554</td>\n",
       "      <td>1.488</td>\n",
       "      <td>1.582</td>\n",
       "      <td>1.028</td>\n",
       "      <td>0.603</td>\n",
       "      <td>0.271</td>\n",
       "      <td>0.341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Iceland</td>\n",
       "      <td>7.494</td>\n",
       "      <td>1.380</td>\n",
       "      <td>1.624</td>\n",
       "      <td>1.026</td>\n",
       "      <td>0.591</td>\n",
       "      <td>0.354</td>\n",
       "      <td>0.118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>7.488</td>\n",
       "      <td>1.396</td>\n",
       "      <td>1.522</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.322</td>\n",
       "      <td>0.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>7.480</td>\n",
       "      <td>1.452</td>\n",
       "      <td>1.526</td>\n",
       "      <td>1.052</td>\n",
       "      <td>0.572</td>\n",
       "      <td>0.263</td>\n",
       "      <td>0.343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>7.343</td>\n",
       "      <td>1.387</td>\n",
       "      <td>1.487</td>\n",
       "      <td>1.009</td>\n",
       "      <td>0.574</td>\n",
       "      <td>0.267</td>\n",
       "      <td>0.373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>New Zealand</td>\n",
       "      <td>7.307</td>\n",
       "      <td>1.303</td>\n",
       "      <td>1.557</td>\n",
       "      <td>1.026</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.330</td>\n",
       "      <td>0.380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>Canada</td>\n",
       "      <td>7.278</td>\n",
       "      <td>1.365</td>\n",
       "      <td>1.505</td>\n",
       "      <td>1.039</td>\n",
       "      <td>0.584</td>\n",
       "      <td>0.285</td>\n",
       "      <td>0.308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>Austria</td>\n",
       "      <td>7.246</td>\n",
       "      <td>1.376</td>\n",
       "      <td>1.475</td>\n",
       "      <td>1.016</td>\n",
       "      <td>0.532</td>\n",
       "      <td>0.244</td>\n",
       "      <td>0.226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>Australia</td>\n",
       "      <td>7.228</td>\n",
       "      <td>1.372</td>\n",
       "      <td>1.548</td>\n",
       "      <td>1.036</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.332</td>\n",
       "      <td>0.290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>7.167</td>\n",
       "      <td>1.034</td>\n",
       "      <td>1.441</td>\n",
       "      <td>0.963</td>\n",
       "      <td>0.558</td>\n",
       "      <td>0.144</td>\n",
       "      <td>0.093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>Israel</td>\n",
       "      <td>7.139</td>\n",
       "      <td>1.276</td>\n",
       "      <td>1.455</td>\n",
       "      <td>1.029</td>\n",
       "      <td>0.371</td>\n",
       "      <td>0.261</td>\n",
       "      <td>0.082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>Luxembourg</td>\n",
       "      <td>7.090</td>\n",
       "      <td>1.609</td>\n",
       "      <td>1.479</td>\n",
       "      <td>1.012</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>7.054</td>\n",
       "      <td>1.333</td>\n",
       "      <td>1.538</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.450</td>\n",
       "      <td>0.348</td>\n",
       "      <td>0.278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>Ireland</td>\n",
       "      <td>7.021</td>\n",
       "      <td>1.499</td>\n",
       "      <td>1.553</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.516</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>Germany</td>\n",
       "      <td>6.985</td>\n",
       "      <td>1.373</td>\n",
       "      <td>1.454</td>\n",
       "      <td>0.987</td>\n",
       "      <td>0.495</td>\n",
       "      <td>0.261</td>\n",
       "      <td>0.265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>6.923</td>\n",
       "      <td>1.356</td>\n",
       "      <td>1.504</td>\n",
       "      <td>0.986</td>\n",
       "      <td>0.473</td>\n",
       "      <td>0.160</td>\n",
       "      <td>0.210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>United States</td>\n",
       "      <td>6.892</td>\n",
       "      <td>1.433</td>\n",
       "      <td>1.457</td>\n",
       "      <td>0.874</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.280</td>\n",
       "      <td>0.128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>6.852</td>\n",
       "      <td>1.269</td>\n",
       "      <td>1.487</td>\n",
       "      <td>0.920</td>\n",
       "      <td>0.457</td>\n",
       "      <td>0.046</td>\n",
       "      <td>0.036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>6.825</td>\n",
       "      <td>1.503</td>\n",
       "      <td>1.310</td>\n",
       "      <td>0.825</td>\n",
       "      <td>0.598</td>\n",
       "      <td>0.262</td>\n",
       "      <td>0.182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>Malta</td>\n",
       "      <td>6.726</td>\n",
       "      <td>1.300</td>\n",
       "      <td>1.520</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.564</td>\n",
       "      <td>0.375</td>\n",
       "      <td>0.151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>Mexico</td>\n",
       "      <td>6.595</td>\n",
       "      <td>1.070</td>\n",
       "      <td>1.323</td>\n",
       "      <td>0.861</td>\n",
       "      <td>0.433</td>\n",
       "      <td>0.074</td>\n",
       "      <td>0.073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>France</td>\n",
       "      <td>6.592</td>\n",
       "      <td>1.324</td>\n",
       "      <td>1.472</td>\n",
       "      <td>1.045</td>\n",
       "      <td>0.436</td>\n",
       "      <td>0.111</td>\n",
       "      <td>0.183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>Taiwan</td>\n",
       "      <td>6.446</td>\n",
       "      <td>1.368</td>\n",
       "      <td>1.430</td>\n",
       "      <td>0.914</td>\n",
       "      <td>0.351</td>\n",
       "      <td>0.242</td>\n",
       "      <td>0.097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>Chile</td>\n",
       "      <td>6.444</td>\n",
       "      <td>1.159</td>\n",
       "      <td>1.369</td>\n",
       "      <td>0.920</td>\n",
       "      <td>0.357</td>\n",
       "      <td>0.187</td>\n",
       "      <td>0.056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>Guatemala</td>\n",
       "      <td>6.436</td>\n",
       "      <td>0.800</td>\n",
       "      <td>1.269</td>\n",
       "      <td>0.746</td>\n",
       "      <td>0.535</td>\n",
       "      <td>0.175</td>\n",
       "      <td>0.078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>Saudi Arabia</td>\n",
       "      <td>6.375</td>\n",
       "      <td>1.403</td>\n",
       "      <td>1.357</td>\n",
       "      <td>0.795</td>\n",
       "      <td>0.439</td>\n",
       "      <td>0.080</td>\n",
       "      <td>0.132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>Qatar</td>\n",
       "      <td>6.374</td>\n",
       "      <td>1.684</td>\n",
       "      <td>1.313</td>\n",
       "      <td>0.871</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.220</td>\n",
       "      <td>0.167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>Spain</td>\n",
       "      <td>6.354</td>\n",
       "      <td>1.286</td>\n",
       "      <td>1.484</td>\n",
       "      <td>1.062</td>\n",
       "      <td>0.362</td>\n",
       "      <td>0.153</td>\n",
       "      <td>0.079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>31</td>\n",
       "      <td>Panama</td>\n",
       "      <td>6.321</td>\n",
       "      <td>1.149</td>\n",
       "      <td>1.442</td>\n",
       "      <td>0.910</td>\n",
       "      <td>0.516</td>\n",
       "      <td>0.109</td>\n",
       "      <td>0.054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>32</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>6.300</td>\n",
       "      <td>1.004</td>\n",
       "      <td>1.439</td>\n",
       "      <td>0.802</td>\n",
       "      <td>0.390</td>\n",
       "      <td>0.099</td>\n",
       "      <td>0.086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>33</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>6.293</td>\n",
       "      <td>1.124</td>\n",
       "      <td>1.465</td>\n",
       "      <td>0.891</td>\n",
       "      <td>0.523</td>\n",
       "      <td>0.127</td>\n",
       "      <td>0.150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>34</td>\n",
       "      <td>Singapore</td>\n",
       "      <td>6.262</td>\n",
       "      <td>1.572</td>\n",
       "      <td>1.463</td>\n",
       "      <td>1.141</td>\n",
       "      <td>0.556</td>\n",
       "      <td>0.271</td>\n",
       "      <td>0.453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>El Salvador</td>\n",
       "      <td>6.253</td>\n",
       "      <td>0.794</td>\n",
       "      <td>1.242</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.430</td>\n",
       "      <td>0.093</td>\n",
       "      <td>0.074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>36</td>\n",
       "      <td>Italy</td>\n",
       "      <td>6.223</td>\n",
       "      <td>1.294</td>\n",
       "      <td>1.488</td>\n",
       "      <td>1.039</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>37</td>\n",
       "      <td>Bahrain</td>\n",
       "      <td>6.199</td>\n",
       "      <td>1.362</td>\n",
       "      <td>1.368</td>\n",
       "      <td>0.871</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.255</td>\n",
       "      <td>0.110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>Slovakia</td>\n",
       "      <td>6.198</td>\n",
       "      <td>1.246</td>\n",
       "      <td>1.504</td>\n",
       "      <td>0.881</td>\n",
       "      <td>0.334</td>\n",
       "      <td>0.121</td>\n",
       "      <td>0.014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>39</td>\n",
       "      <td>Trinidad &amp; Tobago</td>\n",
       "      <td>6.192</td>\n",
       "      <td>1.231</td>\n",
       "      <td>1.477</td>\n",
       "      <td>0.713</td>\n",
       "      <td>0.489</td>\n",
       "      <td>0.185</td>\n",
       "      <td>0.016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>40</td>\n",
       "      <td>Poland</td>\n",
       "      <td>6.182</td>\n",
       "      <td>1.206</td>\n",
       "      <td>1.438</td>\n",
       "      <td>0.884</td>\n",
       "      <td>0.483</td>\n",
       "      <td>0.117</td>\n",
       "      <td>0.050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>Uzbekistan</td>\n",
       "      <td>6.174</td>\n",
       "      <td>0.745</td>\n",
       "      <td>1.529</td>\n",
       "      <td>0.756</td>\n",
       "      <td>0.631</td>\n",
       "      <td>0.322</td>\n",
       "      <td>0.240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>42</td>\n",
       "      <td>Lithuania</td>\n",
       "      <td>6.149</td>\n",
       "      <td>1.238</td>\n",
       "      <td>1.515</td>\n",
       "      <td>0.818</td>\n",
       "      <td>0.291</td>\n",
       "      <td>0.043</td>\n",
       "      <td>0.042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>43</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>6.125</td>\n",
       "      <td>0.985</td>\n",
       "      <td>1.410</td>\n",
       "      <td>0.841</td>\n",
       "      <td>0.470</td>\n",
       "      <td>0.099</td>\n",
       "      <td>0.034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>44</td>\n",
       "      <td>Slovenia</td>\n",
       "      <td>6.118</td>\n",
       "      <td>1.258</td>\n",
       "      <td>1.523</td>\n",
       "      <td>0.953</td>\n",
       "      <td>0.564</td>\n",
       "      <td>0.144</td>\n",
       "      <td>0.057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>45</td>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>6.105</td>\n",
       "      <td>0.694</td>\n",
       "      <td>1.325</td>\n",
       "      <td>0.835</td>\n",
       "      <td>0.435</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>46</td>\n",
       "      <td>Kosovo</td>\n",
       "      <td>6.100</td>\n",
       "      <td>0.882</td>\n",
       "      <td>1.232</td>\n",
       "      <td>0.758</td>\n",
       "      <td>0.489</td>\n",
       "      <td>0.262</td>\n",
       "      <td>0.006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>47</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>6.086</td>\n",
       "      <td>1.092</td>\n",
       "      <td>1.432</td>\n",
       "      <td>0.881</td>\n",
       "      <td>0.471</td>\n",
       "      <td>0.066</td>\n",
       "      <td>0.050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>48</td>\n",
       "      <td>Romania</td>\n",
       "      <td>6.070</td>\n",
       "      <td>1.162</td>\n",
       "      <td>1.232</td>\n",
       "      <td>0.825</td>\n",
       "      <td>0.462</td>\n",
       "      <td>0.083</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>49</td>\n",
       "      <td>Cyprus</td>\n",
       "      <td>6.046</td>\n",
       "      <td>1.263</td>\n",
       "      <td>1.223</td>\n",
       "      <td>1.042</td>\n",
       "      <td>0.406</td>\n",
       "      <td>0.190</td>\n",
       "      <td>0.041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>50</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>6.028</td>\n",
       "      <td>0.912</td>\n",
       "      <td>1.312</td>\n",
       "      <td>0.868</td>\n",
       "      <td>0.498</td>\n",
       "      <td>0.126</td>\n",
       "      <td>0.087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>51</td>\n",
       "      <td>Kuwait</td>\n",
       "      <td>6.021</td>\n",
       "      <td>1.500</td>\n",
       "      <td>1.319</td>\n",
       "      <td>0.808</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.142</td>\n",
       "      <td>0.097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>52</td>\n",
       "      <td>Thailand</td>\n",
       "      <td>6.008</td>\n",
       "      <td>1.050</td>\n",
       "      <td>1.409</td>\n",
       "      <td>0.828</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>53</td>\n",
       "      <td>Latvia</td>\n",
       "      <td>5.940</td>\n",
       "      <td>1.187</td>\n",
       "      <td>1.465</td>\n",
       "      <td>0.812</td>\n",
       "      <td>0.264</td>\n",
       "      <td>0.075</td>\n",
       "      <td>0.064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>54</td>\n",
       "      <td>South Korea</td>\n",
       "      <td>5.895</td>\n",
       "      <td>1.301</td>\n",
       "      <td>1.219</td>\n",
       "      <td>1.036</td>\n",
       "      <td>0.159</td>\n",
       "      <td>0.175</td>\n",
       "      <td>0.056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>55</td>\n",
       "      <td>Estonia</td>\n",
       "      <td>5.893</td>\n",
       "      <td>1.237</td>\n",
       "      <td>1.528</td>\n",
       "      <td>0.874</td>\n",
       "      <td>0.495</td>\n",
       "      <td>0.103</td>\n",
       "      <td>0.161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>56</td>\n",
       "      <td>Jamaica</td>\n",
       "      <td>5.890</td>\n",
       "      <td>0.831</td>\n",
       "      <td>1.478</td>\n",
       "      <td>0.831</td>\n",
       "      <td>0.490</td>\n",
       "      <td>0.107</td>\n",
       "      <td>0.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>57</td>\n",
       "      <td>Mauritius</td>\n",
       "      <td>5.888</td>\n",
       "      <td>1.120</td>\n",
       "      <td>1.402</td>\n",
       "      <td>0.798</td>\n",
       "      <td>0.498</td>\n",
       "      <td>0.215</td>\n",
       "      <td>0.060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>58</td>\n",
       "      <td>Japan</td>\n",
       "      <td>5.886</td>\n",
       "      <td>1.327</td>\n",
       "      <td>1.419</td>\n",
       "      <td>1.088</td>\n",
       "      <td>0.445</td>\n",
       "      <td>0.069</td>\n",
       "      <td>0.140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>59</td>\n",
       "      <td>Honduras</td>\n",
       "      <td>5.860</td>\n",
       "      <td>0.642</td>\n",
       "      <td>1.236</td>\n",
       "      <td>0.828</td>\n",
       "      <td>0.507</td>\n",
       "      <td>0.246</td>\n",
       "      <td>0.078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>60</td>\n",
       "      <td>Kazakhstan</td>\n",
       "      <td>5.809</td>\n",
       "      <td>1.173</td>\n",
       "      <td>1.508</td>\n",
       "      <td>0.729</td>\n",
       "      <td>0.410</td>\n",
       "      <td>0.146</td>\n",
       "      <td>0.096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>61</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>5.779</td>\n",
       "      <td>0.776</td>\n",
       "      <td>1.209</td>\n",
       "      <td>0.706</td>\n",
       "      <td>0.511</td>\n",
       "      <td>0.137</td>\n",
       "      <td>0.064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>62</td>\n",
       "      <td>Hungary</td>\n",
       "      <td>5.758</td>\n",
       "      <td>1.201</td>\n",
       "      <td>1.410</td>\n",
       "      <td>0.828</td>\n",
       "      <td>0.199</td>\n",
       "      <td>0.081</td>\n",
       "      <td>0.020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>63</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>5.743</td>\n",
       "      <td>0.855</td>\n",
       "      <td>1.475</td>\n",
       "      <td>0.777</td>\n",
       "      <td>0.514</td>\n",
       "      <td>0.184</td>\n",
       "      <td>0.080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>64</td>\n",
       "      <td>Northern Cyprus</td>\n",
       "      <td>5.718</td>\n",
       "      <td>1.263</td>\n",
       "      <td>1.252</td>\n",
       "      <td>1.042</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.191</td>\n",
       "      <td>0.162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>65</td>\n",
       "      <td>Peru</td>\n",
       "      <td>5.697</td>\n",
       "      <td>0.960</td>\n",
       "      <td>1.274</td>\n",
       "      <td>0.854</td>\n",
       "      <td>0.455</td>\n",
       "      <td>0.083</td>\n",
       "      <td>0.027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>66</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>5.693</td>\n",
       "      <td>1.221</td>\n",
       "      <td>1.431</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.508</td>\n",
       "      <td>0.047</td>\n",
       "      <td>0.025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>67</td>\n",
       "      <td>Pakistan</td>\n",
       "      <td>5.653</td>\n",
       "      <td>0.677</td>\n",
       "      <td>0.886</td>\n",
       "      <td>0.535</td>\n",
       "      <td>0.313</td>\n",
       "      <td>0.220</td>\n",
       "      <td>0.098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>68</td>\n",
       "      <td>Russia</td>\n",
       "      <td>5.648</td>\n",
       "      <td>1.183</td>\n",
       "      <td>1.452</td>\n",
       "      <td>0.726</td>\n",
       "      <td>0.334</td>\n",
       "      <td>0.082</td>\n",
       "      <td>0.031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>69</td>\n",
       "      <td>Philippines</td>\n",
       "      <td>5.631</td>\n",
       "      <td>0.807</td>\n",
       "      <td>1.293</td>\n",
       "      <td>0.657</td>\n",
       "      <td>0.558</td>\n",
       "      <td>0.117</td>\n",
       "      <td>0.107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>70</td>\n",
       "      <td>Serbia</td>\n",
       "      <td>5.603</td>\n",
       "      <td>1.004</td>\n",
       "      <td>1.383</td>\n",
       "      <td>0.854</td>\n",
       "      <td>0.282</td>\n",
       "      <td>0.137</td>\n",
       "      <td>0.039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>71</td>\n",
       "      <td>Moldova</td>\n",
       "      <td>5.529</td>\n",
       "      <td>0.685</td>\n",
       "      <td>1.328</td>\n",
       "      <td>0.739</td>\n",
       "      <td>0.245</td>\n",
       "      <td>0.181</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>72</td>\n",
       "      <td>Libya</td>\n",
       "      <td>5.525</td>\n",
       "      <td>1.044</td>\n",
       "      <td>1.303</td>\n",
       "      <td>0.673</td>\n",
       "      <td>0.416</td>\n",
       "      <td>0.133</td>\n",
       "      <td>0.152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>73</td>\n",
       "      <td>Montenegro</td>\n",
       "      <td>5.523</td>\n",
       "      <td>1.051</td>\n",
       "      <td>1.361</td>\n",
       "      <td>0.871</td>\n",
       "      <td>0.197</td>\n",
       "      <td>0.142</td>\n",
       "      <td>0.080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>74</td>\n",
       "      <td>Tajikistan</td>\n",
       "      <td>5.467</td>\n",
       "      <td>0.493</td>\n",
       "      <td>1.098</td>\n",
       "      <td>0.718</td>\n",
       "      <td>0.389</td>\n",
       "      <td>0.230</td>\n",
       "      <td>0.144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>75</td>\n",
       "      <td>Croatia</td>\n",
       "      <td>5.432</td>\n",
       "      <td>1.155</td>\n",
       "      <td>1.266</td>\n",
       "      <td>0.914</td>\n",
       "      <td>0.296</td>\n",
       "      <td>0.119</td>\n",
       "      <td>0.022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>76</td>\n",
       "      <td>Hong Kong</td>\n",
       "      <td>5.430</td>\n",
       "      <td>1.438</td>\n",
       "      <td>1.277</td>\n",
       "      <td>1.122</td>\n",
       "      <td>0.440</td>\n",
       "      <td>0.258</td>\n",
       "      <td>0.287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>77</td>\n",
       "      <td>Dominican Republic</td>\n",
       "      <td>5.425</td>\n",
       "      <td>1.015</td>\n",
       "      <td>1.401</td>\n",
       "      <td>0.779</td>\n",
       "      <td>0.497</td>\n",
       "      <td>0.113</td>\n",
       "      <td>0.101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>78</td>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "      <td>5.386</td>\n",
       "      <td>0.945</td>\n",
       "      <td>1.212</td>\n",
       "      <td>0.845</td>\n",
       "      <td>0.212</td>\n",
       "      <td>0.263</td>\n",
       "      <td>0.006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>79</td>\n",
       "      <td>Turkey</td>\n",
       "      <td>5.373</td>\n",
       "      <td>1.183</td>\n",
       "      <td>1.360</td>\n",
       "      <td>0.808</td>\n",
       "      <td>0.195</td>\n",
       "      <td>0.083</td>\n",
       "      <td>0.106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>80</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>5.339</td>\n",
       "      <td>1.221</td>\n",
       "      <td>1.171</td>\n",
       "      <td>0.828</td>\n",
       "      <td>0.508</td>\n",
       "      <td>0.260</td>\n",
       "      <td>0.024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>81</td>\n",
       "      <td>Belarus</td>\n",
       "      <td>5.323</td>\n",
       "      <td>1.067</td>\n",
       "      <td>1.465</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.235</td>\n",
       "      <td>0.094</td>\n",
       "      <td>0.142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>82</td>\n",
       "      <td>Greece</td>\n",
       "      <td>5.287</td>\n",
       "      <td>1.181</td>\n",
       "      <td>1.156</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.067</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>83</td>\n",
       "      <td>Mongolia</td>\n",
       "      <td>5.285</td>\n",
       "      <td>0.948</td>\n",
       "      <td>1.531</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.317</td>\n",
       "      <td>0.235</td>\n",
       "      <td>0.038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>84</td>\n",
       "      <td>North Macedonia</td>\n",
       "      <td>5.274</td>\n",
       "      <td>0.983</td>\n",
       "      <td>1.294</td>\n",
       "      <td>0.838</td>\n",
       "      <td>0.345</td>\n",
       "      <td>0.185</td>\n",
       "      <td>0.034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>85</td>\n",
       "      <td>Nigeria</td>\n",
       "      <td>5.265</td>\n",
       "      <td>0.696</td>\n",
       "      <td>1.111</td>\n",
       "      <td>0.245</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.215</td>\n",
       "      <td>0.041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>86</td>\n",
       "      <td>Kyrgyzstan</td>\n",
       "      <td>5.261</td>\n",
       "      <td>0.551</td>\n",
       "      <td>1.438</td>\n",
       "      <td>0.723</td>\n",
       "      <td>0.508</td>\n",
       "      <td>0.300</td>\n",
       "      <td>0.023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>87</td>\n",
       "      <td>Turkmenistan</td>\n",
       "      <td>5.247</td>\n",
       "      <td>1.052</td>\n",
       "      <td>1.538</td>\n",
       "      <td>0.657</td>\n",
       "      <td>0.394</td>\n",
       "      <td>0.244</td>\n",
       "      <td>0.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>88</td>\n",
       "      <td>Algeria</td>\n",
       "      <td>5.211</td>\n",
       "      <td>1.002</td>\n",
       "      <td>1.160</td>\n",
       "      <td>0.785</td>\n",
       "      <td>0.086</td>\n",
       "      <td>0.073</td>\n",
       "      <td>0.114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>89</td>\n",
       "      <td>Morocco</td>\n",
       "      <td>5.208</td>\n",
       "      <td>0.801</td>\n",
       "      <td>0.782</td>\n",
       "      <td>0.782</td>\n",
       "      <td>0.418</td>\n",
       "      <td>0.036</td>\n",
       "      <td>0.076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>90</td>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>5.208</td>\n",
       "      <td>1.043</td>\n",
       "      <td>1.147</td>\n",
       "      <td>0.769</td>\n",
       "      <td>0.351</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>91</td>\n",
       "      <td>Lebanon</td>\n",
       "      <td>5.197</td>\n",
       "      <td>0.987</td>\n",
       "      <td>1.224</td>\n",
       "      <td>0.815</td>\n",
       "      <td>0.216</td>\n",
       "      <td>0.166</td>\n",
       "      <td>0.027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>92</td>\n",
       "      <td>Indonesia</td>\n",
       "      <td>5.192</td>\n",
       "      <td>0.931</td>\n",
       "      <td>1.203</td>\n",
       "      <td>0.660</td>\n",
       "      <td>0.491</td>\n",
       "      <td>0.498</td>\n",
       "      <td>0.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>93</td>\n",
       "      <td>China</td>\n",
       "      <td>5.191</td>\n",
       "      <td>1.029</td>\n",
       "      <td>1.125</td>\n",
       "      <td>0.893</td>\n",
       "      <td>0.521</td>\n",
       "      <td>0.058</td>\n",
       "      <td>0.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>94</td>\n",
       "      <td>Vietnam</td>\n",
       "      <td>5.175</td>\n",
       "      <td>0.741</td>\n",
       "      <td>1.346</td>\n",
       "      <td>0.851</td>\n",
       "      <td>0.543</td>\n",
       "      <td>0.147</td>\n",
       "      <td>0.073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>95</td>\n",
       "      <td>Bhutan</td>\n",
       "      <td>5.082</td>\n",
       "      <td>0.813</td>\n",
       "      <td>1.321</td>\n",
       "      <td>0.604</td>\n",
       "      <td>0.457</td>\n",
       "      <td>0.370</td>\n",
       "      <td>0.167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>96</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>5.044</td>\n",
       "      <td>0.549</td>\n",
       "      <td>0.910</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.381</td>\n",
       "      <td>0.187</td>\n",
       "      <td>0.037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>97</td>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>5.011</td>\n",
       "      <td>1.092</td>\n",
       "      <td>1.513</td>\n",
       "      <td>0.815</td>\n",
       "      <td>0.311</td>\n",
       "      <td>0.081</td>\n",
       "      <td>0.004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>98</td>\n",
       "      <td>Ghana</td>\n",
       "      <td>4.996</td>\n",
       "      <td>0.611</td>\n",
       "      <td>0.868</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.381</td>\n",
       "      <td>0.245</td>\n",
       "      <td>0.040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>99</td>\n",
       "      <td>Ivory Coast</td>\n",
       "      <td>4.944</td>\n",
       "      <td>0.569</td>\n",
       "      <td>0.808</td>\n",
       "      <td>0.232</td>\n",
       "      <td>0.352</td>\n",
       "      <td>0.154</td>\n",
       "      <td>0.090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>100</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>4.913</td>\n",
       "      <td>0.446</td>\n",
       "      <td>1.226</td>\n",
       "      <td>0.677</td>\n",
       "      <td>0.439</td>\n",
       "      <td>0.285</td>\n",
       "      <td>0.089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>101</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>4.906</td>\n",
       "      <td>0.837</td>\n",
       "      <td>1.225</td>\n",
       "      <td>0.815</td>\n",
       "      <td>0.383</td>\n",
       "      <td>0.110</td>\n",
       "      <td>0.130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>102</td>\n",
       "      <td>Benin</td>\n",
       "      <td>4.883</td>\n",
       "      <td>0.393</td>\n",
       "      <td>0.437</td>\n",
       "      <td>0.397</td>\n",
       "      <td>0.349</td>\n",
       "      <td>0.175</td>\n",
       "      <td>0.082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>103</td>\n",
       "      <td>Congo (Brazzaville)</td>\n",
       "      <td>4.812</td>\n",
       "      <td>0.673</td>\n",
       "      <td>0.799</td>\n",
       "      <td>0.508</td>\n",
       "      <td>0.372</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>104</td>\n",
       "      <td>Gabon</td>\n",
       "      <td>4.799</td>\n",
       "      <td>1.057</td>\n",
       "      <td>1.183</td>\n",
       "      <td>0.571</td>\n",
       "      <td>0.295</td>\n",
       "      <td>0.043</td>\n",
       "      <td>0.055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>105</td>\n",
       "      <td>Laos</td>\n",
       "      <td>4.796</td>\n",
       "      <td>0.764</td>\n",
       "      <td>1.030</td>\n",
       "      <td>0.551</td>\n",
       "      <td>0.547</td>\n",
       "      <td>0.266</td>\n",
       "      <td>0.164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>106</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>4.722</td>\n",
       "      <td>0.960</td>\n",
       "      <td>1.351</td>\n",
       "      <td>0.469</td>\n",
       "      <td>0.389</td>\n",
       "      <td>0.130</td>\n",
       "      <td>0.055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>107</td>\n",
       "      <td>Albania</td>\n",
       "      <td>4.719</td>\n",
       "      <td>0.947</td>\n",
       "      <td>0.848</td>\n",
       "      <td>0.874</td>\n",
       "      <td>0.383</td>\n",
       "      <td>0.178</td>\n",
       "      <td>0.027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>108</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>4.707</td>\n",
       "      <td>0.960</td>\n",
       "      <td>1.427</td>\n",
       "      <td>0.805</td>\n",
       "      <td>0.154</td>\n",
       "      <td>0.064</td>\n",
       "      <td>0.047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>109</td>\n",
       "      <td>Cambodia</td>\n",
       "      <td>4.700</td>\n",
       "      <td>0.574</td>\n",
       "      <td>1.122</td>\n",
       "      <td>0.637</td>\n",
       "      <td>0.609</td>\n",
       "      <td>0.232</td>\n",
       "      <td>0.062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>110</td>\n",
       "      <td>Palestinian Territories</td>\n",
       "      <td>4.696</td>\n",
       "      <td>0.657</td>\n",
       "      <td>1.247</td>\n",
       "      <td>0.672</td>\n",
       "      <td>0.225</td>\n",
       "      <td>0.103</td>\n",
       "      <td>0.066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>111</td>\n",
       "      <td>Senegal</td>\n",
       "      <td>4.681</td>\n",
       "      <td>0.450</td>\n",
       "      <td>1.134</td>\n",
       "      <td>0.571</td>\n",
       "      <td>0.292</td>\n",
       "      <td>0.153</td>\n",
       "      <td>0.072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>112</td>\n",
       "      <td>Somalia</td>\n",
       "      <td>4.668</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.698</td>\n",
       "      <td>0.268</td>\n",
       "      <td>0.559</td>\n",
       "      <td>0.243</td>\n",
       "      <td>0.270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>113</td>\n",
       "      <td>Namibia</td>\n",
       "      <td>4.639</td>\n",
       "      <td>0.879</td>\n",
       "      <td>1.313</td>\n",
       "      <td>0.477</td>\n",
       "      <td>0.401</td>\n",
       "      <td>0.070</td>\n",
       "      <td>0.056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>114</td>\n",
       "      <td>Niger</td>\n",
       "      <td>4.628</td>\n",
       "      <td>0.138</td>\n",
       "      <td>0.774</td>\n",
       "      <td>0.366</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.188</td>\n",
       "      <td>0.102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>115</td>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>4.587</td>\n",
       "      <td>0.331</td>\n",
       "      <td>1.056</td>\n",
       "      <td>0.380</td>\n",
       "      <td>0.255</td>\n",
       "      <td>0.177</td>\n",
       "      <td>0.113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>116</td>\n",
       "      <td>Armenia</td>\n",
       "      <td>4.559</td>\n",
       "      <td>0.850</td>\n",
       "      <td>1.055</td>\n",
       "      <td>0.815</td>\n",
       "      <td>0.283</td>\n",
       "      <td>0.095</td>\n",
       "      <td>0.064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>117</td>\n",
       "      <td>Iran</td>\n",
       "      <td>4.548</td>\n",
       "      <td>1.100</td>\n",
       "      <td>0.842</td>\n",
       "      <td>0.785</td>\n",
       "      <td>0.305</td>\n",
       "      <td>0.270</td>\n",
       "      <td>0.125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>118</td>\n",
       "      <td>Guinea</td>\n",
       "      <td>4.534</td>\n",
       "      <td>0.380</td>\n",
       "      <td>0.829</td>\n",
       "      <td>0.375</td>\n",
       "      <td>0.332</td>\n",
       "      <td>0.207</td>\n",
       "      <td>0.086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>119</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>4.519</td>\n",
       "      <td>0.886</td>\n",
       "      <td>0.666</td>\n",
       "      <td>0.752</td>\n",
       "      <td>0.346</td>\n",
       "      <td>0.043</td>\n",
       "      <td>0.164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>120</td>\n",
       "      <td>Gambia</td>\n",
       "      <td>4.516</td>\n",
       "      <td>0.308</td>\n",
       "      <td>0.939</td>\n",
       "      <td>0.428</td>\n",
       "      <td>0.382</td>\n",
       "      <td>0.269</td>\n",
       "      <td>0.167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>121</td>\n",
       "      <td>Kenya</td>\n",
       "      <td>4.509</td>\n",
       "      <td>0.512</td>\n",
       "      <td>0.983</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.431</td>\n",
       "      <td>0.372</td>\n",
       "      <td>0.053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>122</td>\n",
       "      <td>Mauritania</td>\n",
       "      <td>4.490</td>\n",
       "      <td>0.570</td>\n",
       "      <td>1.167</td>\n",
       "      <td>0.489</td>\n",
       "      <td>0.066</td>\n",
       "      <td>0.106</td>\n",
       "      <td>0.088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>123</td>\n",
       "      <td>Mozambique</td>\n",
       "      <td>4.466</td>\n",
       "      <td>0.204</td>\n",
       "      <td>0.986</td>\n",
       "      <td>0.390</td>\n",
       "      <td>0.494</td>\n",
       "      <td>0.197</td>\n",
       "      <td>0.138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>124</td>\n",
       "      <td>Tunisia</td>\n",
       "      <td>4.461</td>\n",
       "      <td>0.921</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.815</td>\n",
       "      <td>0.167</td>\n",
       "      <td>0.059</td>\n",
       "      <td>0.055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>125</td>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>4.456</td>\n",
       "      <td>0.562</td>\n",
       "      <td>0.928</td>\n",
       "      <td>0.723</td>\n",
       "      <td>0.527</td>\n",
       "      <td>0.166</td>\n",
       "      <td>0.143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>126</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>4.437</td>\n",
       "      <td>1.043</td>\n",
       "      <td>0.980</td>\n",
       "      <td>0.574</td>\n",
       "      <td>0.241</td>\n",
       "      <td>0.148</td>\n",
       "      <td>0.089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>127</td>\n",
       "      <td>Congo (Kinshasa)</td>\n",
       "      <td>4.418</td>\n",
       "      <td>0.094</td>\n",
       "      <td>1.125</td>\n",
       "      <td>0.357</td>\n",
       "      <td>0.269</td>\n",
       "      <td>0.212</td>\n",
       "      <td>0.053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>128</td>\n",
       "      <td>Mali</td>\n",
       "      <td>4.390</td>\n",
       "      <td>0.385</td>\n",
       "      <td>1.105</td>\n",
       "      <td>0.308</td>\n",
       "      <td>0.327</td>\n",
       "      <td>0.153</td>\n",
       "      <td>0.052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>129</td>\n",
       "      <td>Sierra Leone</td>\n",
       "      <td>4.374</td>\n",
       "      <td>0.268</td>\n",
       "      <td>0.841</td>\n",
       "      <td>0.242</td>\n",
       "      <td>0.309</td>\n",
       "      <td>0.252</td>\n",
       "      <td>0.045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>130</td>\n",
       "      <td>Sri Lanka</td>\n",
       "      <td>4.366</td>\n",
       "      <td>0.949</td>\n",
       "      <td>1.265</td>\n",
       "      <td>0.831</td>\n",
       "      <td>0.470</td>\n",
       "      <td>0.244</td>\n",
       "      <td>0.047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>131</td>\n",
       "      <td>Myanmar</td>\n",
       "      <td>4.360</td>\n",
       "      <td>0.710</td>\n",
       "      <td>1.181</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.525</td>\n",
       "      <td>0.566</td>\n",
       "      <td>0.172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>132</td>\n",
       "      <td>Chad</td>\n",
       "      <td>4.350</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.766</td>\n",
       "      <td>0.192</td>\n",
       "      <td>0.174</td>\n",
       "      <td>0.198</td>\n",
       "      <td>0.078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>133</td>\n",
       "      <td>Ukraine</td>\n",
       "      <td>4.332</td>\n",
       "      <td>0.820</td>\n",
       "      <td>1.390</td>\n",
       "      <td>0.739</td>\n",
       "      <td>0.178</td>\n",
       "      <td>0.187</td>\n",
       "      <td>0.010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>134</td>\n",
       "      <td>Ethiopia</td>\n",
       "      <td>4.286</td>\n",
       "      <td>0.336</td>\n",
       "      <td>1.033</td>\n",
       "      <td>0.532</td>\n",
       "      <td>0.344</td>\n",
       "      <td>0.209</td>\n",
       "      <td>0.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>135</td>\n",
       "      <td>Swaziland</td>\n",
       "      <td>4.212</td>\n",
       "      <td>0.811</td>\n",
       "      <td>1.149</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.313</td>\n",
       "      <td>0.074</td>\n",
       "      <td>0.135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>136</td>\n",
       "      <td>Uganda</td>\n",
       "      <td>4.189</td>\n",
       "      <td>0.332</td>\n",
       "      <td>1.069</td>\n",
       "      <td>0.443</td>\n",
       "      <td>0.356</td>\n",
       "      <td>0.252</td>\n",
       "      <td>0.060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>137</td>\n",
       "      <td>Egypt</td>\n",
       "      <td>4.166</td>\n",
       "      <td>0.913</td>\n",
       "      <td>1.039</td>\n",
       "      <td>0.644</td>\n",
       "      <td>0.241</td>\n",
       "      <td>0.076</td>\n",
       "      <td>0.067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>138</td>\n",
       "      <td>Zambia</td>\n",
       "      <td>4.107</td>\n",
       "      <td>0.578</td>\n",
       "      <td>1.058</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.431</td>\n",
       "      <td>0.247</td>\n",
       "      <td>0.087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>139</td>\n",
       "      <td>Togo</td>\n",
       "      <td>4.085</td>\n",
       "      <td>0.275</td>\n",
       "      <td>0.572</td>\n",
       "      <td>0.410</td>\n",
       "      <td>0.293</td>\n",
       "      <td>0.177</td>\n",
       "      <td>0.085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>140</td>\n",
       "      <td>India</td>\n",
       "      <td>4.015</td>\n",
       "      <td>0.755</td>\n",
       "      <td>0.765</td>\n",
       "      <td>0.588</td>\n",
       "      <td>0.498</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>141</td>\n",
       "      <td>Liberia</td>\n",
       "      <td>3.975</td>\n",
       "      <td>0.073</td>\n",
       "      <td>0.922</td>\n",
       "      <td>0.443</td>\n",
       "      <td>0.370</td>\n",
       "      <td>0.233</td>\n",
       "      <td>0.033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>142</td>\n",
       "      <td>Comoros</td>\n",
       "      <td>3.973</td>\n",
       "      <td>0.274</td>\n",
       "      <td>0.757</td>\n",
       "      <td>0.505</td>\n",
       "      <td>0.142</td>\n",
       "      <td>0.275</td>\n",
       "      <td>0.078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>143</td>\n",
       "      <td>Madagascar</td>\n",
       "      <td>3.933</td>\n",
       "      <td>0.274</td>\n",
       "      <td>0.916</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.148</td>\n",
       "      <td>0.169</td>\n",
       "      <td>0.041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>144</td>\n",
       "      <td>Lesotho</td>\n",
       "      <td>3.802</td>\n",
       "      <td>0.489</td>\n",
       "      <td>1.169</td>\n",
       "      <td>0.168</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.107</td>\n",
       "      <td>0.093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>145</td>\n",
       "      <td>Burundi</td>\n",
       "      <td>3.775</td>\n",
       "      <td>0.046</td>\n",
       "      <td>0.447</td>\n",
       "      <td>0.380</td>\n",
       "      <td>0.220</td>\n",
       "      <td>0.176</td>\n",
       "      <td>0.180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>146</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>3.663</td>\n",
       "      <td>0.366</td>\n",
       "      <td>1.114</td>\n",
       "      <td>0.433</td>\n",
       "      <td>0.361</td>\n",
       "      <td>0.151</td>\n",
       "      <td>0.089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>147</td>\n",
       "      <td>Haiti</td>\n",
       "      <td>3.597</td>\n",
       "      <td>0.323</td>\n",
       "      <td>0.688</td>\n",
       "      <td>0.449</td>\n",
       "      <td>0.026</td>\n",
       "      <td>0.419</td>\n",
       "      <td>0.110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>148</td>\n",
       "      <td>Botswana</td>\n",
       "      <td>3.488</td>\n",
       "      <td>1.041</td>\n",
       "      <td>1.145</td>\n",
       "      <td>0.538</td>\n",
       "      <td>0.455</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>149</td>\n",
       "      <td>Syria</td>\n",
       "      <td>3.462</td>\n",
       "      <td>0.619</td>\n",
       "      <td>0.378</td>\n",
       "      <td>0.440</td>\n",
       "      <td>0.013</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>150</td>\n",
       "      <td>Malawi</td>\n",
       "      <td>3.410</td>\n",
       "      <td>0.191</td>\n",
       "      <td>0.560</td>\n",
       "      <td>0.495</td>\n",
       "      <td>0.443</td>\n",
       "      <td>0.218</td>\n",
       "      <td>0.089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>151</td>\n",
       "      <td>Yemen</td>\n",
       "      <td>3.380</td>\n",
       "      <td>0.287</td>\n",
       "      <td>1.163</td>\n",
       "      <td>0.463</td>\n",
       "      <td>0.143</td>\n",
       "      <td>0.108</td>\n",
       "      <td>0.077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>152</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>3.334</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.711</td>\n",
       "      <td>0.614</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.217</td>\n",
       "      <td>0.411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>153</td>\n",
       "      <td>Tanzania</td>\n",
       "      <td>3.231</td>\n",
       "      <td>0.476</td>\n",
       "      <td>0.885</td>\n",
       "      <td>0.499</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.276</td>\n",
       "      <td>0.147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>154</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>3.203</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.517</td>\n",
       "      <td>0.361</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>155</td>\n",
       "      <td>Central African Republic</td>\n",
       "      <td>3.083</td>\n",
       "      <td>0.026</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.225</td>\n",
       "      <td>0.235</td>\n",
       "      <td>0.035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>156</td>\n",
       "      <td>South Sudan</td>\n",
       "      <td>2.853</td>\n",
       "      <td>0.306</td>\n",
       "      <td>0.575</td>\n",
       "      <td>0.295</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.202</td>\n",
       "      <td>0.091</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Overall rank         Country or region  Score  GDP per capita  \\\n",
       "0               1                   Finland  7.769           1.340   \n",
       "1               2                   Denmark  7.600           1.383   \n",
       "2               3                    Norway  7.554           1.488   \n",
       "3               4                   Iceland  7.494           1.380   \n",
       "4               5               Netherlands  7.488           1.396   \n",
       "5               6               Switzerland  7.480           1.452   \n",
       "6               7                    Sweden  7.343           1.387   \n",
       "7               8               New Zealand  7.307           1.303   \n",
       "8               9                    Canada  7.278           1.365   \n",
       "9              10                   Austria  7.246           1.376   \n",
       "10             11                 Australia  7.228           1.372   \n",
       "11             12                Costa Rica  7.167           1.034   \n",
       "12             13                    Israel  7.139           1.276   \n",
       "13             14                Luxembourg  7.090           1.609   \n",
       "14             15            United Kingdom  7.054           1.333   \n",
       "15             16                   Ireland  7.021           1.499   \n",
       "16             17                   Germany  6.985           1.373   \n",
       "17             18                   Belgium  6.923           1.356   \n",
       "18             19             United States  6.892           1.433   \n",
       "19             20            Czech Republic  6.852           1.269   \n",
       "20             21      United Arab Emirates  6.825           1.503   \n",
       "21             22                     Malta  6.726           1.300   \n",
       "22             23                    Mexico  6.595           1.070   \n",
       "23             24                    France  6.592           1.324   \n",
       "24             25                    Taiwan  6.446           1.368   \n",
       "25             26                     Chile  6.444           1.159   \n",
       "26             27                 Guatemala  6.436           0.800   \n",
       "27             28              Saudi Arabia  6.375           1.403   \n",
       "28             29                     Qatar  6.374           1.684   \n",
       "29             30                     Spain  6.354           1.286   \n",
       "30             31                    Panama  6.321           1.149   \n",
       "31             32                    Brazil  6.300           1.004   \n",
       "32             33                   Uruguay  6.293           1.124   \n",
       "33             34                 Singapore  6.262           1.572   \n",
       "34             35               El Salvador  6.253           0.794   \n",
       "35             36                     Italy  6.223           1.294   \n",
       "36             37                   Bahrain  6.199           1.362   \n",
       "37             38                  Slovakia  6.198           1.246   \n",
       "38             39         Trinidad & Tobago  6.192           1.231   \n",
       "39             40                    Poland  6.182           1.206   \n",
       "40             41                Uzbekistan  6.174           0.745   \n",
       "41             42                 Lithuania  6.149           1.238   \n",
       "42             43                  Colombia  6.125           0.985   \n",
       "43             44                  Slovenia  6.118           1.258   \n",
       "44             45                 Nicaragua  6.105           0.694   \n",
       "45             46                    Kosovo  6.100           0.882   \n",
       "46             47                 Argentina  6.086           1.092   \n",
       "47             48                   Romania  6.070           1.162   \n",
       "48             49                    Cyprus  6.046           1.263   \n",
       "49             50                   Ecuador  6.028           0.912   \n",
       "50             51                    Kuwait  6.021           1.500   \n",
       "51             52                  Thailand  6.008           1.050   \n",
       "52             53                    Latvia  5.940           1.187   \n",
       "53             54               South Korea  5.895           1.301   \n",
       "54             55                   Estonia  5.893           1.237   \n",
       "55             56                   Jamaica  5.890           0.831   \n",
       "56             57                 Mauritius  5.888           1.120   \n",
       "57             58                     Japan  5.886           1.327   \n",
       "58             59                  Honduras  5.860           0.642   \n",
       "59             60                Kazakhstan  5.809           1.173   \n",
       "60             61                   Bolivia  5.779           0.776   \n",
       "61             62                   Hungary  5.758           1.201   \n",
       "62             63                  Paraguay  5.743           0.855   \n",
       "63             64           Northern Cyprus  5.718           1.263   \n",
       "64             65                      Peru  5.697           0.960   \n",
       "65             66                  Portugal  5.693           1.221   \n",
       "66             67                  Pakistan  5.653           0.677   \n",
       "67             68                    Russia  5.648           1.183   \n",
       "68             69               Philippines  5.631           0.807   \n",
       "69             70                    Serbia  5.603           1.004   \n",
       "70             71                   Moldova  5.529           0.685   \n",
       "71             72                     Libya  5.525           1.044   \n",
       "72             73                Montenegro  5.523           1.051   \n",
       "73             74                Tajikistan  5.467           0.493   \n",
       "74             75                   Croatia  5.432           1.155   \n",
       "75             76                 Hong Kong  5.430           1.438   \n",
       "76             77        Dominican Republic  5.425           1.015   \n",
       "77             78    Bosnia and Herzegovina  5.386           0.945   \n",
       "78             79                    Turkey  5.373           1.183   \n",
       "79             80                  Malaysia  5.339           1.221   \n",
       "80             81                   Belarus  5.323           1.067   \n",
       "81             82                    Greece  5.287           1.181   \n",
       "82             83                  Mongolia  5.285           0.948   \n",
       "83             84           North Macedonia  5.274           0.983   \n",
       "84             85                   Nigeria  5.265           0.696   \n",
       "85             86                Kyrgyzstan  5.261           0.551   \n",
       "86             87              Turkmenistan  5.247           1.052   \n",
       "87             88                   Algeria  5.211           1.002   \n",
       "88             89                   Morocco  5.208           0.801   \n",
       "89             90                Azerbaijan  5.208           1.043   \n",
       "90             91                   Lebanon  5.197           0.987   \n",
       "91             92                 Indonesia  5.192           0.931   \n",
       "92             93                     China  5.191           1.029   \n",
       "93             94                   Vietnam  5.175           0.741   \n",
       "94             95                    Bhutan  5.082           0.813   \n",
       "95             96                  Cameroon  5.044           0.549   \n",
       "96             97                  Bulgaria  5.011           1.092   \n",
       "97             98                     Ghana  4.996           0.611   \n",
       "98             99               Ivory Coast  4.944           0.569   \n",
       "99            100                     Nepal  4.913           0.446   \n",
       "100           101                    Jordan  4.906           0.837   \n",
       "101           102                     Benin  4.883           0.393   \n",
       "102           103       Congo (Brazzaville)  4.812           0.673   \n",
       "103           104                     Gabon  4.799           1.057   \n",
       "104           105                      Laos  4.796           0.764   \n",
       "105           106              South Africa  4.722           0.960   \n",
       "106           107                   Albania  4.719           0.947   \n",
       "107           108                 Venezuela  4.707           0.960   \n",
       "108           109                  Cambodia  4.700           0.574   \n",
       "109           110   Palestinian Territories  4.696           0.657   \n",
       "110           111                   Senegal  4.681           0.450   \n",
       "111           112                   Somalia  4.668           0.000   \n",
       "112           113                   Namibia  4.639           0.879   \n",
       "113           114                     Niger  4.628           0.138   \n",
       "114           115              Burkina Faso  4.587           0.331   \n",
       "115           116                   Armenia  4.559           0.850   \n",
       "116           117                      Iran  4.548           1.100   \n",
       "117           118                    Guinea  4.534           0.380   \n",
       "118           119                   Georgia  4.519           0.886   \n",
       "119           120                    Gambia  4.516           0.308   \n",
       "120           121                     Kenya  4.509           0.512   \n",
       "121           122                Mauritania  4.490           0.570   \n",
       "122           123                Mozambique  4.466           0.204   \n",
       "123           124                   Tunisia  4.461           0.921   \n",
       "124           125                Bangladesh  4.456           0.562   \n",
       "125           126                      Iraq  4.437           1.043   \n",
       "126           127          Congo (Kinshasa)  4.418           0.094   \n",
       "127           128                      Mali  4.390           0.385   \n",
       "128           129              Sierra Leone  4.374           0.268   \n",
       "129           130                 Sri Lanka  4.366           0.949   \n",
       "130           131                   Myanmar  4.360           0.710   \n",
       "131           132                      Chad  4.350           0.350   \n",
       "132           133                   Ukraine  4.332           0.820   \n",
       "133           134                  Ethiopia  4.286           0.336   \n",
       "134           135                 Swaziland  4.212           0.811   \n",
       "135           136                    Uganda  4.189           0.332   \n",
       "136           137                     Egypt  4.166           0.913   \n",
       "137           138                    Zambia  4.107           0.578   \n",
       "138           139                      Togo  4.085           0.275   \n",
       "139           140                     India  4.015           0.755   \n",
       "140           141                   Liberia  3.975           0.073   \n",
       "141           142                   Comoros  3.973           0.274   \n",
       "142           143                Madagascar  3.933           0.274   \n",
       "143           144                   Lesotho  3.802           0.489   \n",
       "144           145                   Burundi  3.775           0.046   \n",
       "145           146                  Zimbabwe  3.663           0.366   \n",
       "146           147                     Haiti  3.597           0.323   \n",
       "147           148                  Botswana  3.488           1.041   \n",
       "148           149                     Syria  3.462           0.619   \n",
       "149           150                    Malawi  3.410           0.191   \n",
       "150           151                     Yemen  3.380           0.287   \n",
       "151           152                    Rwanda  3.334           0.359   \n",
       "152           153                  Tanzania  3.231           0.476   \n",
       "153           154               Afghanistan  3.203           0.350   \n",
       "154           155  Central African Republic  3.083           0.026   \n",
       "155           156               South Sudan  2.853           0.306   \n",
       "\n",
       "     Social support  Healthy life expectancy  Freedom to make life choices  \\\n",
       "0             1.587                    0.986                         0.596   \n",
       "1             1.573                    0.996                         0.592   \n",
       "2             1.582                    1.028                         0.603   \n",
       "3             1.624                    1.026                         0.591   \n",
       "4             1.522                    0.999                         0.557   \n",
       "5             1.526                    1.052                         0.572   \n",
       "6             1.487                    1.009                         0.574   \n",
       "7             1.557                    1.026                         0.585   \n",
       "8             1.505                    1.039                         0.584   \n",
       "9             1.475                    1.016                         0.532   \n",
       "10            1.548                    1.036                         0.557   \n",
       "11            1.441                    0.963                         0.558   \n",
       "12            1.455                    1.029                         0.371   \n",
       "13            1.479                    1.012                         0.526   \n",
       "14            1.538                    0.996                         0.450   \n",
       "15            1.553                    0.999                         0.516   \n",
       "16            1.454                    0.987                         0.495   \n",
       "17            1.504                    0.986                         0.473   \n",
       "18            1.457                    0.874                         0.454   \n",
       "19            1.487                    0.920                         0.457   \n",
       "20            1.310                    0.825                         0.598   \n",
       "21            1.520                    0.999                         0.564   \n",
       "22            1.323                    0.861                         0.433   \n",
       "23            1.472                    1.045                         0.436   \n",
       "24            1.430                    0.914                         0.351   \n",
       "25            1.369                    0.920                         0.357   \n",
       "26            1.269                    0.746                         0.535   \n",
       "27            1.357                    0.795                         0.439   \n",
       "28            1.313                    0.871                         0.555   \n",
       "29            1.484                    1.062                         0.362   \n",
       "30            1.442                    0.910                         0.516   \n",
       "31            1.439                    0.802                         0.390   \n",
       "32            1.465                    0.891                         0.523   \n",
       "33            1.463                    1.141                         0.556   \n",
       "34            1.242                    0.789                         0.430   \n",
       "35            1.488                    1.039                         0.231   \n",
       "36            1.368                    0.871                         0.536   \n",
       "37            1.504                    0.881                         0.334   \n",
       "38            1.477                    0.713                         0.489   \n",
       "39            1.438                    0.884                         0.483   \n",
       "40            1.529                    0.756                         0.631   \n",
       "41            1.515                    0.818                         0.291   \n",
       "42            1.410                    0.841                         0.470   \n",
       "43            1.523                    0.953                         0.564   \n",
       "44            1.325                    0.835                         0.435   \n",
       "45            1.232                    0.758                         0.489   \n",
       "46            1.432                    0.881                         0.471   \n",
       "47            1.232                    0.825                         0.462   \n",
       "48            1.223                    1.042                         0.406   \n",
       "49            1.312                    0.868                         0.498   \n",
       "50            1.319                    0.808                         0.493   \n",
       "51            1.409                    0.828                         0.557   \n",
       "52            1.465                    0.812                         0.264   \n",
       "53            1.219                    1.036                         0.159   \n",
       "54            1.528                    0.874                         0.495   \n",
       "55            1.478                    0.831                         0.490   \n",
       "56            1.402                    0.798                         0.498   \n",
       "57            1.419                    1.088                         0.445   \n",
       "58            1.236                    0.828                         0.507   \n",
       "59            1.508                    0.729                         0.410   \n",
       "60            1.209                    0.706                         0.511   \n",
       "61            1.410                    0.828                         0.199   \n",
       "62            1.475                    0.777                         0.514   \n",
       "63            1.252                    1.042                         0.417   \n",
       "64            1.274                    0.854                         0.455   \n",
       "65            1.431                    0.999                         0.508   \n",
       "66            0.886                    0.535                         0.313   \n",
       "67            1.452                    0.726                         0.334   \n",
       "68            1.293                    0.657                         0.558   \n",
       "69            1.383                    0.854                         0.282   \n",
       "70            1.328                    0.739                         0.245   \n",
       "71            1.303                    0.673                         0.416   \n",
       "72            1.361                    0.871                         0.197   \n",
       "73            1.098                    0.718                         0.389   \n",
       "74            1.266                    0.914                         0.296   \n",
       "75            1.277                    1.122                         0.440   \n",
       "76            1.401                    0.779                         0.497   \n",
       "77            1.212                    0.845                         0.212   \n",
       "78            1.360                    0.808                         0.195   \n",
       "79            1.171                    0.828                         0.508   \n",
       "80            1.465                    0.789                         0.235   \n",
       "81            1.156                    0.999                         0.067   \n",
       "82            1.531                    0.667                         0.317   \n",
       "83            1.294                    0.838                         0.345   \n",
       "84            1.111                    0.245                         0.426   \n",
       "85            1.438                    0.723                         0.508   \n",
       "86            1.538                    0.657                         0.394   \n",
       "87            1.160                    0.785                         0.086   \n",
       "88            0.782                    0.782                         0.418   \n",
       "89            1.147                    0.769                         0.351   \n",
       "90            1.224                    0.815                         0.216   \n",
       "91            1.203                    0.660                         0.491   \n",
       "92            1.125                    0.893                         0.521   \n",
       "93            1.346                    0.851                         0.543   \n",
       "94            1.321                    0.604                         0.457   \n",
       "95            0.910                    0.331                         0.381   \n",
       "96            1.513                    0.815                         0.311   \n",
       "97            0.868                    0.486                         0.381   \n",
       "98            0.808                    0.232                         0.352   \n",
       "99            1.226                    0.677                         0.439   \n",
       "100           1.225                    0.815                         0.383   \n",
       "101           0.437                    0.397                         0.349   \n",
       "102           0.799                    0.508                         0.372   \n",
       "103           1.183                    0.571                         0.295   \n",
       "104           1.030                    0.551                         0.547   \n",
       "105           1.351                    0.469                         0.389   \n",
       "106           0.848                    0.874                         0.383   \n",
       "107           1.427                    0.805                         0.154   \n",
       "108           1.122                    0.637                         0.609   \n",
       "109           1.247                    0.672                         0.225   \n",
       "110           1.134                    0.571                         0.292   \n",
       "111           0.698                    0.268                         0.559   \n",
       "112           1.313                    0.477                         0.401   \n",
       "113           0.774                    0.366                         0.318   \n",
       "114           1.056                    0.380                         0.255   \n",
       "115           1.055                    0.815                         0.283   \n",
       "116           0.842                    0.785                         0.305   \n",
       "117           0.829                    0.375                         0.332   \n",
       "118           0.666                    0.752                         0.346   \n",
       "119           0.939                    0.428                         0.382   \n",
       "120           0.983                    0.581                         0.431   \n",
       "121           1.167                    0.489                         0.066   \n",
       "122           0.986                    0.390                         0.494   \n",
       "123           1.000                    0.815                         0.167   \n",
       "124           0.928                    0.723                         0.527   \n",
       "125           0.980                    0.574                         0.241   \n",
       "126           1.125                    0.357                         0.269   \n",
       "127           1.105                    0.308                         0.327   \n",
       "128           0.841                    0.242                         0.309   \n",
       "129           1.265                    0.831                         0.470   \n",
       "130           1.181                    0.555                         0.525   \n",
       "131           0.766                    0.192                         0.174   \n",
       "132           1.390                    0.739                         0.178   \n",
       "133           1.033                    0.532                         0.344   \n",
       "134           1.149                    0.000                         0.313   \n",
       "135           1.069                    0.443                         0.356   \n",
       "136           1.039                    0.644                         0.241   \n",
       "137           1.058                    0.426                         0.431   \n",
       "138           0.572                    0.410                         0.293   \n",
       "139           0.765                    0.588                         0.498   \n",
       "140           0.922                    0.443                         0.370   \n",
       "141           0.757                    0.505                         0.142   \n",
       "142           0.916                    0.555                         0.148   \n",
       "143           1.169                    0.168                         0.359   \n",
       "144           0.447                    0.380                         0.220   \n",
       "145           1.114                    0.433                         0.361   \n",
       "146           0.688                    0.449                         0.026   \n",
       "147           1.145                    0.538                         0.455   \n",
       "148           0.378                    0.440                         0.013   \n",
       "149           0.560                    0.495                         0.443   \n",
       "150           1.163                    0.463                         0.143   \n",
       "151           0.711                    0.614                         0.555   \n",
       "152           0.885                    0.499                         0.417   \n",
       "153           0.517                    0.361                         0.000   \n",
       "154           0.000                    0.105                         0.225   \n",
       "155           0.575                    0.295                         0.010   \n",
       "\n",
       "     Generosity  Perceptions of corruption  \n",
       "0         0.153                      0.393  \n",
       "1         0.252                      0.410  \n",
       "2         0.271                      0.341  \n",
       "3         0.354                      0.118  \n",
       "4         0.322                      0.298  \n",
       "5         0.263                      0.343  \n",
       "6         0.267                      0.373  \n",
       "7         0.330                      0.380  \n",
       "8         0.285                      0.308  \n",
       "9         0.244                      0.226  \n",
       "10        0.332                      0.290  \n",
       "11        0.144                      0.093  \n",
       "12        0.261                      0.082  \n",
       "13        0.194                      0.316  \n",
       "14        0.348                      0.278  \n",
       "15        0.298                      0.310  \n",
       "16        0.261                      0.265  \n",
       "17        0.160                      0.210  \n",
       "18        0.280                      0.128  \n",
       "19        0.046                      0.036  \n",
       "20        0.262                      0.182  \n",
       "21        0.375                      0.151  \n",
       "22        0.074                      0.073  \n",
       "23        0.111                      0.183  \n",
       "24        0.242                      0.097  \n",
       "25        0.187                      0.056  \n",
       "26        0.175                      0.078  \n",
       "27        0.080                      0.132  \n",
       "28        0.220                      0.167  \n",
       "29        0.153                      0.079  \n",
       "30        0.109                      0.054  \n",
       "31        0.099                      0.086  \n",
       "32        0.127                      0.150  \n",
       "33        0.271                      0.453  \n",
       "34        0.093                      0.074  \n",
       "35        0.158                      0.030  \n",
       "36        0.255                      0.110  \n",
       "37        0.121                      0.014  \n",
       "38        0.185                      0.016  \n",
       "39        0.117                      0.050  \n",
       "40        0.322                      0.240  \n",
       "41        0.043                      0.042  \n",
       "42        0.099                      0.034  \n",
       "43        0.144                      0.057  \n",
       "44        0.200                      0.127  \n",
       "45        0.262                      0.006  \n",
       "46        0.066                      0.050  \n",
       "47        0.083                      0.005  \n",
       "48        0.190                      0.041  \n",
       "49        0.126                      0.087  \n",
       "50        0.142                      0.097  \n",
       "51        0.359                      0.028  \n",
       "52        0.075                      0.064  \n",
       "53        0.175                      0.056  \n",
       "54        0.103                      0.161  \n",
       "55        0.107                      0.028  \n",
       "56        0.215                      0.060  \n",
       "57        0.069                      0.140  \n",
       "58        0.246                      0.078  \n",
       "59        0.146                      0.096  \n",
       "60        0.137                      0.064  \n",
       "61        0.081                      0.020  \n",
       "62        0.184                      0.080  \n",
       "63        0.191                      0.162  \n",
       "64        0.083                      0.027  \n",
       "65        0.047                      0.025  \n",
       "66        0.220                      0.098  \n",
       "67        0.082                      0.031  \n",
       "68        0.117                      0.107  \n",
       "69        0.137                      0.039  \n",
       "70        0.181                      0.000  \n",
       "71        0.133                      0.152  \n",
       "72        0.142                      0.080  \n",
       "73        0.230                      0.144  \n",
       "74        0.119                      0.022  \n",
       "75        0.258                      0.287  \n",
       "76        0.113                      0.101  \n",
       "77        0.263                      0.006  \n",
       "78        0.083                      0.106  \n",
       "79        0.260                      0.024  \n",
       "80        0.094                      0.142  \n",
       "81        0.000                      0.034  \n",
       "82        0.235                      0.038  \n",
       "83        0.185                      0.034  \n",
       "84        0.215                      0.041  \n",
       "85        0.300                      0.023  \n",
       "86        0.244                      0.028  \n",
       "87        0.073                      0.114  \n",
       "88        0.036                      0.076  \n",
       "89        0.035                      0.182  \n",
       "90        0.166                      0.027  \n",
       "91        0.498                      0.028  \n",
       "92        0.058                      0.100  \n",
       "93        0.147                      0.073  \n",
       "94        0.370                      0.167  \n",
       "95        0.187                      0.037  \n",
       "96        0.081                      0.004  \n",
       "97        0.245                      0.040  \n",
       "98        0.154                      0.090  \n",
       "99        0.285                      0.089  \n",
       "100       0.110                      0.130  \n",
       "101       0.175                      0.082  \n",
       "102       0.105                      0.093  \n",
       "103       0.043                      0.055  \n",
       "104       0.266                      0.164  \n",
       "105       0.130                      0.055  \n",
       "106       0.178                      0.027  \n",
       "107       0.064                      0.047  \n",
       "108       0.232                      0.062  \n",
       "109       0.103                      0.066  \n",
       "110       0.153                      0.072  \n",
       "111       0.243                      0.270  \n",
       "112       0.070                      0.056  \n",
       "113       0.188                      0.102  \n",
       "114       0.177                      0.113  \n",
       "115       0.095                      0.064  \n",
       "116       0.270                      0.125  \n",
       "117       0.207                      0.086  \n",
       "118       0.043                      0.164  \n",
       "119       0.269                      0.167  \n",
       "120       0.372                      0.053  \n",
       "121       0.106                      0.088  \n",
       "122       0.197                      0.138  \n",
       "123       0.059                      0.055  \n",
       "124       0.166                      0.143  \n",
       "125       0.148                      0.089  \n",
       "126       0.212                      0.053  \n",
       "127       0.153                      0.052  \n",
       "128       0.252                      0.045  \n",
       "129       0.244                      0.047  \n",
       "130       0.566                      0.172  \n",
       "131       0.198                      0.078  \n",
       "132       0.187                      0.010  \n",
       "133       0.209                      0.100  \n",
       "134       0.074                      0.135  \n",
       "135       0.252                      0.060  \n",
       "136       0.076                      0.067  \n",
       "137       0.247                      0.087  \n",
       "138       0.177                      0.085  \n",
       "139       0.200                      0.085  \n",
       "140       0.233                      0.033  \n",
       "141       0.275                      0.078  \n",
       "142       0.169                      0.041  \n",
       "143       0.107                      0.093  \n",
       "144       0.176                      0.180  \n",
       "145       0.151                      0.089  \n",
       "146       0.419                      0.110  \n",
       "147       0.025                      0.100  \n",
       "148       0.331                      0.141  \n",
       "149       0.218                      0.089  \n",
       "150       0.108                      0.077  \n",
       "151       0.217                      0.411  \n",
       "152       0.276                      0.147  \n",
       "153       0.158                      0.025  \n",
       "154       0.235                      0.035  \n",
       "155       0.202                      0.091  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import libraries require\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline\n",
    "sns.set(color_codes = True)\n",
    "# Load the data into data frame according to the file where you save it\n",
    "\n",
    "happiness = pd.read_csv(\"c://2019.csv\")\n",
    "\n",
    "# Let data frame to display all the data\n",
    "\n",
    "pd.set_option(\"display.max_rows\", None)\n",
    "\n",
    "# show the data\n",
    "happiness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>Score</th>\n",
       "      <th>Economy (GDP per Capita)</th>\n",
       "      <th>Social Support</th>\n",
       "      <th>Health (Life Expectancy)</th>\n",
       "      <th>Freedom</th>\n",
       "      <th>Generosity</th>\n",
       "      <th>Perception of Corruption</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Finland</td>\n",
       "      <td>7.769</td>\n",
       "      <td>1.340</td>\n",
       "      <td>1.587</td>\n",
       "      <td>0.986</td>\n",
       "      <td>0.596</td>\n",
       "      <td>0.153</td>\n",
       "      <td>0.393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Denmark</td>\n",
       "      <td>7.600</td>\n",
       "      <td>1.383</td>\n",
       "      <td>1.573</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.592</td>\n",
       "      <td>0.252</td>\n",
       "      <td>0.410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Norway</td>\n",
       "      <td>7.554</td>\n",
       "      <td>1.488</td>\n",
       "      <td>1.582</td>\n",
       "      <td>1.028</td>\n",
       "      <td>0.603</td>\n",
       "      <td>0.271</td>\n",
       "      <td>0.341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Iceland</td>\n",
       "      <td>7.494</td>\n",
       "      <td>1.380</td>\n",
       "      <td>1.624</td>\n",
       "      <td>1.026</td>\n",
       "      <td>0.591</td>\n",
       "      <td>0.354</td>\n",
       "      <td>0.118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>7.488</td>\n",
       "      <td>1.396</td>\n",
       "      <td>1.522</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.322</td>\n",
       "      <td>0.298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>7.480</td>\n",
       "      <td>1.452</td>\n",
       "      <td>1.526</td>\n",
       "      <td>1.052</td>\n",
       "      <td>0.572</td>\n",
       "      <td>0.263</td>\n",
       "      <td>0.343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>7.343</td>\n",
       "      <td>1.387</td>\n",
       "      <td>1.487</td>\n",
       "      <td>1.009</td>\n",
       "      <td>0.574</td>\n",
       "      <td>0.267</td>\n",
       "      <td>0.373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>New Zealand</td>\n",
       "      <td>7.307</td>\n",
       "      <td>1.303</td>\n",
       "      <td>1.557</td>\n",
       "      <td>1.026</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.330</td>\n",
       "      <td>0.380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Canada</td>\n",
       "      <td>7.278</td>\n",
       "      <td>1.365</td>\n",
       "      <td>1.505</td>\n",
       "      <td>1.039</td>\n",
       "      <td>0.584</td>\n",
       "      <td>0.285</td>\n",
       "      <td>0.308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Austria</td>\n",
       "      <td>7.246</td>\n",
       "      <td>1.376</td>\n",
       "      <td>1.475</td>\n",
       "      <td>1.016</td>\n",
       "      <td>0.532</td>\n",
       "      <td>0.244</td>\n",
       "      <td>0.226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Australia</td>\n",
       "      <td>7.228</td>\n",
       "      <td>1.372</td>\n",
       "      <td>1.548</td>\n",
       "      <td>1.036</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.332</td>\n",
       "      <td>0.290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>7.167</td>\n",
       "      <td>1.034</td>\n",
       "      <td>1.441</td>\n",
       "      <td>0.963</td>\n",
       "      <td>0.558</td>\n",
       "      <td>0.144</td>\n",
       "      <td>0.093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Israel</td>\n",
       "      <td>7.139</td>\n",
       "      <td>1.276</td>\n",
       "      <td>1.455</td>\n",
       "      <td>1.029</td>\n",
       "      <td>0.371</td>\n",
       "      <td>0.261</td>\n",
       "      <td>0.082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Luxembourg</td>\n",
       "      <td>7.090</td>\n",
       "      <td>1.609</td>\n",
       "      <td>1.479</td>\n",
       "      <td>1.012</td>\n",
       "      <td>0.526</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>7.054</td>\n",
       "      <td>1.333</td>\n",
       "      <td>1.538</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.450</td>\n",
       "      <td>0.348</td>\n",
       "      <td>0.278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Ireland</td>\n",
       "      <td>7.021</td>\n",
       "      <td>1.499</td>\n",
       "      <td>1.553</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.516</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Germany</td>\n",
       "      <td>6.985</td>\n",
       "      <td>1.373</td>\n",
       "      <td>1.454</td>\n",
       "      <td>0.987</td>\n",
       "      <td>0.495</td>\n",
       "      <td>0.261</td>\n",
       "      <td>0.265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>6.923</td>\n",
       "      <td>1.356</td>\n",
       "      <td>1.504</td>\n",
       "      <td>0.986</td>\n",
       "      <td>0.473</td>\n",
       "      <td>0.160</td>\n",
       "      <td>0.210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>United States</td>\n",
       "      <td>6.892</td>\n",
       "      <td>1.433</td>\n",
       "      <td>1.457</td>\n",
       "      <td>0.874</td>\n",
       "      <td>0.454</td>\n",
       "      <td>0.280</td>\n",
       "      <td>0.128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>6.852</td>\n",
       "      <td>1.269</td>\n",
       "      <td>1.487</td>\n",
       "      <td>0.920</td>\n",
       "      <td>0.457</td>\n",
       "      <td>0.046</td>\n",
       "      <td>0.036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>6.825</td>\n",
       "      <td>1.503</td>\n",
       "      <td>1.310</td>\n",
       "      <td>0.825</td>\n",
       "      <td>0.598</td>\n",
       "      <td>0.262</td>\n",
       "      <td>0.182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Malta</td>\n",
       "      <td>6.726</td>\n",
       "      <td>1.300</td>\n",
       "      <td>1.520</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.564</td>\n",
       "      <td>0.375</td>\n",
       "      <td>0.151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>6.595</td>\n",
       "      <td>1.070</td>\n",
       "      <td>1.323</td>\n",
       "      <td>0.861</td>\n",
       "      <td>0.433</td>\n",
       "      <td>0.074</td>\n",
       "      <td>0.073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>France</td>\n",
       "      <td>6.592</td>\n",
       "      <td>1.324</td>\n",
       "      <td>1.472</td>\n",
       "      <td>1.045</td>\n",
       "      <td>0.436</td>\n",
       "      <td>0.111</td>\n",
       "      <td>0.183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Taiwan</td>\n",
       "      <td>6.446</td>\n",
       "      <td>1.368</td>\n",
       "      <td>1.430</td>\n",
       "      <td>0.914</td>\n",
       "      <td>0.351</td>\n",
       "      <td>0.242</td>\n",
       "      <td>0.097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Chile</td>\n",
       "      <td>6.444</td>\n",
       "      <td>1.159</td>\n",
       "      <td>1.369</td>\n",
       "      <td>0.920</td>\n",
       "      <td>0.357</td>\n",
       "      <td>0.187</td>\n",
       "      <td>0.056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>6.436</td>\n",
       "      <td>0.800</td>\n",
       "      <td>1.269</td>\n",
       "      <td>0.746</td>\n",
       "      <td>0.535</td>\n",
       "      <td>0.175</td>\n",
       "      <td>0.078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Saudi Arabia</td>\n",
       "      <td>6.375</td>\n",
       "      <td>1.403</td>\n",
       "      <td>1.357</td>\n",
       "      <td>0.795</td>\n",
       "      <td>0.439</td>\n",
       "      <td>0.080</td>\n",
       "      <td>0.132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Qatar</td>\n",
       "      <td>6.374</td>\n",
       "      <td>1.684</td>\n",
       "      <td>1.313</td>\n",
       "      <td>0.871</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.220</td>\n",
       "      <td>0.167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Spain</td>\n",
       "      <td>6.354</td>\n",
       "      <td>1.286</td>\n",
       "      <td>1.484</td>\n",
       "      <td>1.062</td>\n",
       "      <td>0.362</td>\n",
       "      <td>0.153</td>\n",
       "      <td>0.079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Panama</td>\n",
       "      <td>6.321</td>\n",
       "      <td>1.149</td>\n",
       "      <td>1.442</td>\n",
       "      <td>0.910</td>\n",
       "      <td>0.516</td>\n",
       "      <td>0.109</td>\n",
       "      <td>0.054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>6.300</td>\n",
       "      <td>1.004</td>\n",
       "      <td>1.439</td>\n",
       "      <td>0.802</td>\n",
       "      <td>0.390</td>\n",
       "      <td>0.099</td>\n",
       "      <td>0.086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Uruguay</td>\n",
       "      <td>6.293</td>\n",
       "      <td>1.124</td>\n",
       "      <td>1.465</td>\n",
       "      <td>0.891</td>\n",
       "      <td>0.523</td>\n",
       "      <td>0.127</td>\n",
       "      <td>0.150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Singapore</td>\n",
       "      <td>6.262</td>\n",
       "      <td>1.572</td>\n",
       "      <td>1.463</td>\n",
       "      <td>1.141</td>\n",
       "      <td>0.556</td>\n",
       "      <td>0.271</td>\n",
       "      <td>0.453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>El Salvador</td>\n",
       "      <td>6.253</td>\n",
       "      <td>0.794</td>\n",
       "      <td>1.242</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.430</td>\n",
       "      <td>0.093</td>\n",
       "      <td>0.074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Italy</td>\n",
       "      <td>6.223</td>\n",
       "      <td>1.294</td>\n",
       "      <td>1.488</td>\n",
       "      <td>1.039</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>6.199</td>\n",
       "      <td>1.362</td>\n",
       "      <td>1.368</td>\n",
       "      <td>0.871</td>\n",
       "      <td>0.536</td>\n",
       "      <td>0.255</td>\n",
       "      <td>0.110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Slovakia</td>\n",
       "      <td>6.198</td>\n",
       "      <td>1.246</td>\n",
       "      <td>1.504</td>\n",
       "      <td>0.881</td>\n",
       "      <td>0.334</td>\n",
       "      <td>0.121</td>\n",
       "      <td>0.014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Trinidad &amp; Tobago</td>\n",
       "      <td>6.192</td>\n",
       "      <td>1.231</td>\n",
       "      <td>1.477</td>\n",
       "      <td>0.713</td>\n",
       "      <td>0.489</td>\n",
       "      <td>0.185</td>\n",
       "      <td>0.016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Poland</td>\n",
       "      <td>6.182</td>\n",
       "      <td>1.206</td>\n",
       "      <td>1.438</td>\n",
       "      <td>0.884</td>\n",
       "      <td>0.483</td>\n",
       "      <td>0.117</td>\n",
       "      <td>0.050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Uzbekistan</td>\n",
       "      <td>6.174</td>\n",
       "      <td>0.745</td>\n",
       "      <td>1.529</td>\n",
       "      <td>0.756</td>\n",
       "      <td>0.631</td>\n",
       "      <td>0.322</td>\n",
       "      <td>0.240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Lithuania</td>\n",
       "      <td>6.149</td>\n",
       "      <td>1.238</td>\n",
       "      <td>1.515</td>\n",
       "      <td>0.818</td>\n",
       "      <td>0.291</td>\n",
       "      <td>0.043</td>\n",
       "      <td>0.042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Colombia</td>\n",
       "      <td>6.125</td>\n",
       "      <td>0.985</td>\n",
       "      <td>1.410</td>\n",
       "      <td>0.841</td>\n",
       "      <td>0.470</td>\n",
       "      <td>0.099</td>\n",
       "      <td>0.034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Slovenia</td>\n",
       "      <td>6.118</td>\n",
       "      <td>1.258</td>\n",
       "      <td>1.523</td>\n",
       "      <td>0.953</td>\n",
       "      <td>0.564</td>\n",
       "      <td>0.144</td>\n",
       "      <td>0.057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>6.105</td>\n",
       "      <td>0.694</td>\n",
       "      <td>1.325</td>\n",
       "      <td>0.835</td>\n",
       "      <td>0.435</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Kosovo</td>\n",
       "      <td>6.100</td>\n",
       "      <td>0.882</td>\n",
       "      <td>1.232</td>\n",
       "      <td>0.758</td>\n",
       "      <td>0.489</td>\n",
       "      <td>0.262</td>\n",
       "      <td>0.006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>6.086</td>\n",
       "      <td>1.092</td>\n",
       "      <td>1.432</td>\n",
       "      <td>0.881</td>\n",
       "      <td>0.471</td>\n",
       "      <td>0.066</td>\n",
       "      <td>0.050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Romania</td>\n",
       "      <td>6.070</td>\n",
       "      <td>1.162</td>\n",
       "      <td>1.232</td>\n",
       "      <td>0.825</td>\n",
       "      <td>0.462</td>\n",
       "      <td>0.083</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Cyprus</td>\n",
       "      <td>6.046</td>\n",
       "      <td>1.263</td>\n",
       "      <td>1.223</td>\n",
       "      <td>1.042</td>\n",
       "      <td>0.406</td>\n",
       "      <td>0.190</td>\n",
       "      <td>0.041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Ecuador</td>\n",
       "      <td>6.028</td>\n",
       "      <td>0.912</td>\n",
       "      <td>1.312</td>\n",
       "      <td>0.868</td>\n",
       "      <td>0.498</td>\n",
       "      <td>0.126</td>\n",
       "      <td>0.087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Kuwait</td>\n",
       "      <td>6.021</td>\n",
       "      <td>1.500</td>\n",
       "      <td>1.319</td>\n",
       "      <td>0.808</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.142</td>\n",
       "      <td>0.097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Thailand</td>\n",
       "      <td>6.008</td>\n",
       "      <td>1.050</td>\n",
       "      <td>1.409</td>\n",
       "      <td>0.828</td>\n",
       "      <td>0.557</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Latvia</td>\n",
       "      <td>5.940</td>\n",
       "      <td>1.187</td>\n",
       "      <td>1.465</td>\n",
       "      <td>0.812</td>\n",
       "      <td>0.264</td>\n",
       "      <td>0.075</td>\n",
       "      <td>0.064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>South Korea</td>\n",
       "      <td>5.895</td>\n",
       "      <td>1.301</td>\n",
       "      <td>1.219</td>\n",
       "      <td>1.036</td>\n",
       "      <td>0.159</td>\n",
       "      <td>0.175</td>\n",
       "      <td>0.056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Estonia</td>\n",
       "      <td>5.893</td>\n",
       "      <td>1.237</td>\n",
       "      <td>1.528</td>\n",
       "      <td>0.874</td>\n",
       "      <td>0.495</td>\n",
       "      <td>0.103</td>\n",
       "      <td>0.161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Jamaica</td>\n",
       "      <td>5.890</td>\n",
       "      <td>0.831</td>\n",
       "      <td>1.478</td>\n",
       "      <td>0.831</td>\n",
       "      <td>0.490</td>\n",
       "      <td>0.107</td>\n",
       "      <td>0.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Mauritius</td>\n",
       "      <td>5.888</td>\n",
       "      <td>1.120</td>\n",
       "      <td>1.402</td>\n",
       "      <td>0.798</td>\n",
       "      <td>0.498</td>\n",
       "      <td>0.215</td>\n",
       "      <td>0.060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Japan</td>\n",
       "      <td>5.886</td>\n",
       "      <td>1.327</td>\n",
       "      <td>1.419</td>\n",
       "      <td>1.088</td>\n",
       "      <td>0.445</td>\n",
       "      <td>0.069</td>\n",
       "      <td>0.140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>5.860</td>\n",
       "      <td>0.642</td>\n",
       "      <td>1.236</td>\n",
       "      <td>0.828</td>\n",
       "      <td>0.507</td>\n",
       "      <td>0.246</td>\n",
       "      <td>0.078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Kazakhstan</td>\n",
       "      <td>5.809</td>\n",
       "      <td>1.173</td>\n",
       "      <td>1.508</td>\n",
       "      <td>0.729</td>\n",
       "      <td>0.410</td>\n",
       "      <td>0.146</td>\n",
       "      <td>0.096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Bolivia</td>\n",
       "      <td>5.779</td>\n",
       "      <td>0.776</td>\n",
       "      <td>1.209</td>\n",
       "      <td>0.706</td>\n",
       "      <td>0.511</td>\n",
       "      <td>0.137</td>\n",
       "      <td>0.064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Hungary</td>\n",
       "      <td>5.758</td>\n",
       "      <td>1.201</td>\n",
       "      <td>1.410</td>\n",
       "      <td>0.828</td>\n",
       "      <td>0.199</td>\n",
       "      <td>0.081</td>\n",
       "      <td>0.020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Paraguay</td>\n",
       "      <td>5.743</td>\n",
       "      <td>0.855</td>\n",
       "      <td>1.475</td>\n",
       "      <td>0.777</td>\n",
       "      <td>0.514</td>\n",
       "      <td>0.184</td>\n",
       "      <td>0.080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Northern Cyprus</td>\n",
       "      <td>5.718</td>\n",
       "      <td>1.263</td>\n",
       "      <td>1.252</td>\n",
       "      <td>1.042</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.191</td>\n",
       "      <td>0.162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Peru</td>\n",
       "      <td>5.697</td>\n",
       "      <td>0.960</td>\n",
       "      <td>1.274</td>\n",
       "      <td>0.854</td>\n",
       "      <td>0.455</td>\n",
       "      <td>0.083</td>\n",
       "      <td>0.027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Portugal</td>\n",
       "      <td>5.693</td>\n",
       "      <td>1.221</td>\n",
       "      <td>1.431</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.508</td>\n",
       "      <td>0.047</td>\n",
       "      <td>0.025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Pakistan</td>\n",
       "      <td>5.653</td>\n",
       "      <td>0.677</td>\n",
       "      <td>0.886</td>\n",
       "      <td>0.535</td>\n",
       "      <td>0.313</td>\n",
       "      <td>0.220</td>\n",
       "      <td>0.098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Russia</td>\n",
       "      <td>5.648</td>\n",
       "      <td>1.183</td>\n",
       "      <td>1.452</td>\n",
       "      <td>0.726</td>\n",
       "      <td>0.334</td>\n",
       "      <td>0.082</td>\n",
       "      <td>0.031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Philippines</td>\n",
       "      <td>5.631</td>\n",
       "      <td>0.807</td>\n",
       "      <td>1.293</td>\n",
       "      <td>0.657</td>\n",
       "      <td>0.558</td>\n",
       "      <td>0.117</td>\n",
       "      <td>0.107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Serbia</td>\n",
       "      <td>5.603</td>\n",
       "      <td>1.004</td>\n",
       "      <td>1.383</td>\n",
       "      <td>0.854</td>\n",
       "      <td>0.282</td>\n",
       "      <td>0.137</td>\n",
       "      <td>0.039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Moldova</td>\n",
       "      <td>5.529</td>\n",
       "      <td>0.685</td>\n",
       "      <td>1.328</td>\n",
       "      <td>0.739</td>\n",
       "      <td>0.245</td>\n",
       "      <td>0.181</td>\n",
       "      <td>0.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Libya</td>\n",
       "      <td>5.525</td>\n",
       "      <td>1.044</td>\n",
       "      <td>1.303</td>\n",
       "      <td>0.673</td>\n",
       "      <td>0.416</td>\n",
       "      <td>0.133</td>\n",
       "      <td>0.152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Montenegro</td>\n",
       "      <td>5.523</td>\n",
       "      <td>1.051</td>\n",
       "      <td>1.361</td>\n",
       "      <td>0.871</td>\n",
       "      <td>0.197</td>\n",
       "      <td>0.142</td>\n",
       "      <td>0.080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Tajikistan</td>\n",
       "      <td>5.467</td>\n",
       "      <td>0.493</td>\n",
       "      <td>1.098</td>\n",
       "      <td>0.718</td>\n",
       "      <td>0.389</td>\n",
       "      <td>0.230</td>\n",
       "      <td>0.144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Croatia</td>\n",
       "      <td>5.432</td>\n",
       "      <td>1.155</td>\n",
       "      <td>1.266</td>\n",
       "      <td>0.914</td>\n",
       "      <td>0.296</td>\n",
       "      <td>0.119</td>\n",
       "      <td>0.022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Hong Kong</td>\n",
       "      <td>5.430</td>\n",
       "      <td>1.438</td>\n",
       "      <td>1.277</td>\n",
       "      <td>1.122</td>\n",
       "      <td>0.440</td>\n",
       "      <td>0.258</td>\n",
       "      <td>0.287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Dominican Republic</td>\n",
       "      <td>5.425</td>\n",
       "      <td>1.015</td>\n",
       "      <td>1.401</td>\n",
       "      <td>0.779</td>\n",
       "      <td>0.497</td>\n",
       "      <td>0.113</td>\n",
       "      <td>0.101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Bosnia and Herzegovina</td>\n",
       "      <td>5.386</td>\n",
       "      <td>0.945</td>\n",
       "      <td>1.212</td>\n",
       "      <td>0.845</td>\n",
       "      <td>0.212</td>\n",
       "      <td>0.263</td>\n",
       "      <td>0.006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Turkey</td>\n",
       "      <td>5.373</td>\n",
       "      <td>1.183</td>\n",
       "      <td>1.360</td>\n",
       "      <td>0.808</td>\n",
       "      <td>0.195</td>\n",
       "      <td>0.083</td>\n",
       "      <td>0.106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Malaysia</td>\n",
       "      <td>5.339</td>\n",
       "      <td>1.221</td>\n",
       "      <td>1.171</td>\n",
       "      <td>0.828</td>\n",
       "      <td>0.508</td>\n",
       "      <td>0.260</td>\n",
       "      <td>0.024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Belarus</td>\n",
       "      <td>5.323</td>\n",
       "      <td>1.067</td>\n",
       "      <td>1.465</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.235</td>\n",
       "      <td>0.094</td>\n",
       "      <td>0.142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Greece</td>\n",
       "      <td>5.287</td>\n",
       "      <td>1.181</td>\n",
       "      <td>1.156</td>\n",
       "      <td>0.999</td>\n",
       "      <td>0.067</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Mongolia</td>\n",
       "      <td>5.285</td>\n",
       "      <td>0.948</td>\n",
       "      <td>1.531</td>\n",
       "      <td>0.667</td>\n",
       "      <td>0.317</td>\n",
       "      <td>0.235</td>\n",
       "      <td>0.038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>North Macedonia</td>\n",
       "      <td>5.274</td>\n",
       "      <td>0.983</td>\n",
       "      <td>1.294</td>\n",
       "      <td>0.838</td>\n",
       "      <td>0.345</td>\n",
       "      <td>0.185</td>\n",
       "      <td>0.034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Nigeria</td>\n",
       "      <td>5.265</td>\n",
       "      <td>0.696</td>\n",
       "      <td>1.111</td>\n",
       "      <td>0.245</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.215</td>\n",
       "      <td>0.041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Kyrgyzstan</td>\n",
       "      <td>5.261</td>\n",
       "      <td>0.551</td>\n",
       "      <td>1.438</td>\n",
       "      <td>0.723</td>\n",
       "      <td>0.508</td>\n",
       "      <td>0.300</td>\n",
       "      <td>0.023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>5.211</td>\n",
       "      <td>1.002</td>\n",
       "      <td>1.160</td>\n",
       "      <td>0.785</td>\n",
       "      <td>0.086</td>\n",
       "      <td>0.073</td>\n",
       "      <td>0.114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Morocco</td>\n",
       "      <td>5.208</td>\n",
       "      <td>0.801</td>\n",
       "      <td>0.782</td>\n",
       "      <td>0.782</td>\n",
       "      <td>0.418</td>\n",
       "      <td>0.036</td>\n",
       "      <td>0.076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Azerbaijan</td>\n",
       "      <td>5.208</td>\n",
       "      <td>1.043</td>\n",
       "      <td>1.147</td>\n",
       "      <td>0.769</td>\n",
       "      <td>0.351</td>\n",
       "      <td>0.035</td>\n",
       "      <td>0.182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Lebanon</td>\n",
       "      <td>5.197</td>\n",
       "      <td>0.987</td>\n",
       "      <td>1.224</td>\n",
       "      <td>0.815</td>\n",
       "      <td>0.216</td>\n",
       "      <td>0.166</td>\n",
       "      <td>0.027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Indonesia</td>\n",
       "      <td>5.192</td>\n",
       "      <td>0.931</td>\n",
       "      <td>1.203</td>\n",
       "      <td>0.660</td>\n",
       "      <td>0.491</td>\n",
       "      <td>0.498</td>\n",
       "      <td>0.028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>China</td>\n",
       "      <td>5.191</td>\n",
       "      <td>1.029</td>\n",
       "      <td>1.125</td>\n",
       "      <td>0.893</td>\n",
       "      <td>0.521</td>\n",
       "      <td>0.058</td>\n",
       "      <td>0.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>5.175</td>\n",
       "      <td>0.741</td>\n",
       "      <td>1.346</td>\n",
       "      <td>0.851</td>\n",
       "      <td>0.543</td>\n",
       "      <td>0.147</td>\n",
       "      <td>0.073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Bhutan</td>\n",
       "      <td>5.082</td>\n",
       "      <td>0.813</td>\n",
       "      <td>1.321</td>\n",
       "      <td>0.604</td>\n",
       "      <td>0.457</td>\n",
       "      <td>0.370</td>\n",
       "      <td>0.167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Cameroon</td>\n",
       "      <td>5.044</td>\n",
       "      <td>0.549</td>\n",
       "      <td>0.910</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.381</td>\n",
       "      <td>0.187</td>\n",
       "      <td>0.037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Ghana</td>\n",
       "      <td>4.996</td>\n",
       "      <td>0.611</td>\n",
       "      <td>0.868</td>\n",
       "      <td>0.486</td>\n",
       "      <td>0.381</td>\n",
       "      <td>0.245</td>\n",
       "      <td>0.040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Nepal</td>\n",
       "      <td>4.913</td>\n",
       "      <td>0.446</td>\n",
       "      <td>1.226</td>\n",
       "      <td>0.677</td>\n",
       "      <td>0.439</td>\n",
       "      <td>0.285</td>\n",
       "      <td>0.089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Jordan</td>\n",
       "      <td>4.906</td>\n",
       "      <td>0.837</td>\n",
       "      <td>1.225</td>\n",
       "      <td>0.815</td>\n",
       "      <td>0.383</td>\n",
       "      <td>0.110</td>\n",
       "      <td>0.130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Benin</td>\n",
       "      <td>4.883</td>\n",
       "      <td>0.393</td>\n",
       "      <td>0.437</td>\n",
       "      <td>0.397</td>\n",
       "      <td>0.349</td>\n",
       "      <td>0.175</td>\n",
       "      <td>0.082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Congo (Brazzaville)</td>\n",
       "      <td>4.812</td>\n",
       "      <td>0.673</td>\n",
       "      <td>0.799</td>\n",
       "      <td>0.508</td>\n",
       "      <td>0.372</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Gabon</td>\n",
       "      <td>4.799</td>\n",
       "      <td>1.057</td>\n",
       "      <td>1.183</td>\n",
       "      <td>0.571</td>\n",
       "      <td>0.295</td>\n",
       "      <td>0.043</td>\n",
       "      <td>0.055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>Laos</td>\n",
       "      <td>4.796</td>\n",
       "      <td>0.764</td>\n",
       "      <td>1.030</td>\n",
       "      <td>0.551</td>\n",
       "      <td>0.547</td>\n",
       "      <td>0.266</td>\n",
       "      <td>0.164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>4.722</td>\n",
       "      <td>0.960</td>\n",
       "      <td>1.351</td>\n",
       "      <td>0.469</td>\n",
       "      <td>0.389</td>\n",
       "      <td>0.130</td>\n",
       "      <td>0.055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Albania</td>\n",
       "      <td>4.719</td>\n",
       "      <td>0.947</td>\n",
       "      <td>0.848</td>\n",
       "      <td>0.874</td>\n",
       "      <td>0.383</td>\n",
       "      <td>0.178</td>\n",
       "      <td>0.027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>Venezuela</td>\n",
       "      <td>4.707</td>\n",
       "      <td>0.960</td>\n",
       "      <td>1.427</td>\n",
       "      <td>0.805</td>\n",
       "      <td>0.154</td>\n",
       "      <td>0.064</td>\n",
       "      <td>0.047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>Cambodia</td>\n",
       "      <td>4.700</td>\n",
       "      <td>0.574</td>\n",
       "      <td>1.122</td>\n",
       "      <td>0.637</td>\n",
       "      <td>0.609</td>\n",
       "      <td>0.232</td>\n",
       "      <td>0.062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>Palestinian Territories</td>\n",
       "      <td>4.696</td>\n",
       "      <td>0.657</td>\n",
       "      <td>1.247</td>\n",
       "      <td>0.672</td>\n",
       "      <td>0.225</td>\n",
       "      <td>0.103</td>\n",
       "      <td>0.066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>Senegal</td>\n",
       "      <td>4.681</td>\n",
       "      <td>0.450</td>\n",
       "      <td>1.134</td>\n",
       "      <td>0.571</td>\n",
       "      <td>0.292</td>\n",
       "      <td>0.153</td>\n",
       "      <td>0.072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>Namibia</td>\n",
       "      <td>4.639</td>\n",
       "      <td>0.879</td>\n",
       "      <td>1.313</td>\n",
       "      <td>0.477</td>\n",
       "      <td>0.401</td>\n",
       "      <td>0.070</td>\n",
       "      <td>0.056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>Niger</td>\n",
       "      <td>4.628</td>\n",
       "      <td>0.138</td>\n",
       "      <td>0.774</td>\n",
       "      <td>0.366</td>\n",
       "      <td>0.318</td>\n",
       "      <td>0.188</td>\n",
       "      <td>0.102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>Burkina Faso</td>\n",
       "      <td>4.587</td>\n",
       "      <td>0.331</td>\n",
       "      <td>1.056</td>\n",
       "      <td>0.380</td>\n",
       "      <td>0.255</td>\n",
       "      <td>0.177</td>\n",
       "      <td>0.113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>Armenia</td>\n",
       "      <td>4.559</td>\n",
       "      <td>0.850</td>\n",
       "      <td>1.055</td>\n",
       "      <td>0.815</td>\n",
       "      <td>0.283</td>\n",
       "      <td>0.095</td>\n",
       "      <td>0.064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>Iran</td>\n",
       "      <td>4.548</td>\n",
       "      <td>1.100</td>\n",
       "      <td>0.842</td>\n",
       "      <td>0.785</td>\n",
       "      <td>0.305</td>\n",
       "      <td>0.270</td>\n",
       "      <td>0.125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>Georgia</td>\n",
       "      <td>4.519</td>\n",
       "      <td>0.886</td>\n",
       "      <td>0.666</td>\n",
       "      <td>0.752</td>\n",
       "      <td>0.346</td>\n",
       "      <td>0.043</td>\n",
       "      <td>0.164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>Kenya</td>\n",
       "      <td>4.509</td>\n",
       "      <td>0.512</td>\n",
       "      <td>0.983</td>\n",
       "      <td>0.581</td>\n",
       "      <td>0.431</td>\n",
       "      <td>0.372</td>\n",
       "      <td>0.053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>Mauritania</td>\n",
       "      <td>4.490</td>\n",
       "      <td>0.570</td>\n",
       "      <td>1.167</td>\n",
       "      <td>0.489</td>\n",
       "      <td>0.066</td>\n",
       "      <td>0.106</td>\n",
       "      <td>0.088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>Mozambique</td>\n",
       "      <td>4.466</td>\n",
       "      <td>0.204</td>\n",
       "      <td>0.986</td>\n",
       "      <td>0.390</td>\n",
       "      <td>0.494</td>\n",
       "      <td>0.197</td>\n",
       "      <td>0.138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>Tunisia</td>\n",
       "      <td>4.461</td>\n",
       "      <td>0.921</td>\n",
       "      <td>1.000</td>\n",
       "      <td>0.815</td>\n",
       "      <td>0.167</td>\n",
       "      <td>0.059</td>\n",
       "      <td>0.055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>4.456</td>\n",
       "      <td>0.562</td>\n",
       "      <td>0.928</td>\n",
       "      <td>0.723</td>\n",
       "      <td>0.527</td>\n",
       "      <td>0.166</td>\n",
       "      <td>0.143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>Congo (Kinshasa)</td>\n",
       "      <td>4.418</td>\n",
       "      <td>0.094</td>\n",
       "      <td>1.125</td>\n",
       "      <td>0.357</td>\n",
       "      <td>0.269</td>\n",
       "      <td>0.212</td>\n",
       "      <td>0.053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Mali</td>\n",
       "      <td>4.390</td>\n",
       "      <td>0.385</td>\n",
       "      <td>1.105</td>\n",
       "      <td>0.308</td>\n",
       "      <td>0.327</td>\n",
       "      <td>0.153</td>\n",
       "      <td>0.052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>Sierra Leone</td>\n",
       "      <td>4.374</td>\n",
       "      <td>0.268</td>\n",
       "      <td>0.841</td>\n",
       "      <td>0.242</td>\n",
       "      <td>0.309</td>\n",
       "      <td>0.252</td>\n",
       "      <td>0.045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>Sri Lanka</td>\n",
       "      <td>4.366</td>\n",
       "      <td>0.949</td>\n",
       "      <td>1.265</td>\n",
       "      <td>0.831</td>\n",
       "      <td>0.470</td>\n",
       "      <td>0.244</td>\n",
       "      <td>0.047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>Myanmar</td>\n",
       "      <td>4.360</td>\n",
       "      <td>0.710</td>\n",
       "      <td>1.181</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.525</td>\n",
       "      <td>0.566</td>\n",
       "      <td>0.172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>Chad</td>\n",
       "      <td>4.350</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.766</td>\n",
       "      <td>0.192</td>\n",
       "      <td>0.174</td>\n",
       "      <td>0.198</td>\n",
       "      <td>0.078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>Ukraine</td>\n",
       "      <td>4.332</td>\n",
       "      <td>0.820</td>\n",
       "      <td>1.390</td>\n",
       "      <td>0.739</td>\n",
       "      <td>0.178</td>\n",
       "      <td>0.187</td>\n",
       "      <td>0.010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>Ethiopia</td>\n",
       "      <td>4.286</td>\n",
       "      <td>0.336</td>\n",
       "      <td>1.033</td>\n",
       "      <td>0.532</td>\n",
       "      <td>0.344</td>\n",
       "      <td>0.209</td>\n",
       "      <td>0.100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>Uganda</td>\n",
       "      <td>4.189</td>\n",
       "      <td>0.332</td>\n",
       "      <td>1.069</td>\n",
       "      <td>0.443</td>\n",
       "      <td>0.356</td>\n",
       "      <td>0.252</td>\n",
       "      <td>0.060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>Egypt</td>\n",
       "      <td>4.166</td>\n",
       "      <td>0.913</td>\n",
       "      <td>1.039</td>\n",
       "      <td>0.644</td>\n",
       "      <td>0.241</td>\n",
       "      <td>0.076</td>\n",
       "      <td>0.067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>Zambia</td>\n",
       "      <td>4.107</td>\n",
       "      <td>0.578</td>\n",
       "      <td>1.058</td>\n",
       "      <td>0.426</td>\n",
       "      <td>0.431</td>\n",
       "      <td>0.247</td>\n",
       "      <td>0.087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>Togo</td>\n",
       "      <td>4.085</td>\n",
       "      <td>0.275</td>\n",
       "      <td>0.572</td>\n",
       "      <td>0.410</td>\n",
       "      <td>0.293</td>\n",
       "      <td>0.177</td>\n",
       "      <td>0.085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>India</td>\n",
       "      <td>4.015</td>\n",
       "      <td>0.755</td>\n",
       "      <td>0.765</td>\n",
       "      <td>0.588</td>\n",
       "      <td>0.498</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>Liberia</td>\n",
       "      <td>3.975</td>\n",
       "      <td>0.073</td>\n",
       "      <td>0.922</td>\n",
       "      <td>0.443</td>\n",
       "      <td>0.370</td>\n",
       "      <td>0.233</td>\n",
       "      <td>0.033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Comoros</td>\n",
       "      <td>3.973</td>\n",
       "      <td>0.274</td>\n",
       "      <td>0.757</td>\n",
       "      <td>0.505</td>\n",
       "      <td>0.142</td>\n",
       "      <td>0.275</td>\n",
       "      <td>0.078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>Madagascar</td>\n",
       "      <td>3.933</td>\n",
       "      <td>0.274</td>\n",
       "      <td>0.916</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.148</td>\n",
       "      <td>0.169</td>\n",
       "      <td>0.041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>Lesotho</td>\n",
       "      <td>3.802</td>\n",
       "      <td>0.489</td>\n",
       "      <td>1.169</td>\n",
       "      <td>0.168</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.107</td>\n",
       "      <td>0.093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>Burundi</td>\n",
       "      <td>3.775</td>\n",
       "      <td>0.046</td>\n",
       "      <td>0.447</td>\n",
       "      <td>0.380</td>\n",
       "      <td>0.220</td>\n",
       "      <td>0.176</td>\n",
       "      <td>0.180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>3.663</td>\n",
       "      <td>0.366</td>\n",
       "      <td>1.114</td>\n",
       "      <td>0.433</td>\n",
       "      <td>0.361</td>\n",
       "      <td>0.151</td>\n",
       "      <td>0.089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>Haiti</td>\n",
       "      <td>3.597</td>\n",
       "      <td>0.323</td>\n",
       "      <td>0.688</td>\n",
       "      <td>0.449</td>\n",
       "      <td>0.026</td>\n",
       "      <td>0.419</td>\n",
       "      <td>0.110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>Syria</td>\n",
       "      <td>3.462</td>\n",
       "      <td>0.619</td>\n",
       "      <td>0.378</td>\n",
       "      <td>0.440</td>\n",
       "      <td>0.013</td>\n",
       "      <td>0.331</td>\n",
       "      <td>0.141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>Malawi</td>\n",
       "      <td>3.410</td>\n",
       "      <td>0.191</td>\n",
       "      <td>0.560</td>\n",
       "      <td>0.495</td>\n",
       "      <td>0.443</td>\n",
       "      <td>0.218</td>\n",
       "      <td>0.089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>Yemen</td>\n",
       "      <td>3.380</td>\n",
       "      <td>0.287</td>\n",
       "      <td>1.163</td>\n",
       "      <td>0.463</td>\n",
       "      <td>0.143</td>\n",
       "      <td>0.108</td>\n",
       "      <td>0.077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>Rwanda</td>\n",
       "      <td>3.334</td>\n",
       "      <td>0.359</td>\n",
       "      <td>0.711</td>\n",
       "      <td>0.614</td>\n",
       "      <td>0.555</td>\n",
       "      <td>0.217</td>\n",
       "      <td>0.411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>Tanzania</td>\n",
       "      <td>3.231</td>\n",
       "      <td>0.476</td>\n",
       "      <td>0.885</td>\n",
       "      <td>0.499</td>\n",
       "      <td>0.417</td>\n",
       "      <td>0.276</td>\n",
       "      <td>0.147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>3.203</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.517</td>\n",
       "      <td>0.361</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.158</td>\n",
       "      <td>0.025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>Central African Republic</td>\n",
       "      <td>3.083</td>\n",
       "      <td>0.026</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.105</td>\n",
       "      <td>0.225</td>\n",
       "      <td>0.235</td>\n",
       "      <td>0.035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>South Sudan</td>\n",
       "      <td>2.853</td>\n",
       "      <td>0.306</td>\n",
       "      <td>0.575</td>\n",
       "      <td>0.295</td>\n",
       "      <td>0.010</td>\n",
       "      <td>0.202</td>\n",
       "      <td>0.091</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Country  Score  Economy (GDP per Capita)  \\\n",
       "0                     Finland  7.769                     1.340   \n",
       "1                     Denmark  7.600                     1.383   \n",
       "2                      Norway  7.554                     1.488   \n",
       "3                     Iceland  7.494                     1.380   \n",
       "4                 Netherlands  7.488                     1.396   \n",
       "5                 Switzerland  7.480                     1.452   \n",
       "6                      Sweden  7.343                     1.387   \n",
       "7                 New Zealand  7.307                     1.303   \n",
       "8                      Canada  7.278                     1.365   \n",
       "9                     Austria  7.246                     1.376   \n",
       "10                  Australia  7.228                     1.372   \n",
       "11                 Costa Rica  7.167                     1.034   \n",
       "12                     Israel  7.139                     1.276   \n",
       "13                 Luxembourg  7.090                     1.609   \n",
       "14             United Kingdom  7.054                     1.333   \n",
       "15                    Ireland  7.021                     1.499   \n",
       "16                    Germany  6.985                     1.373   \n",
       "17                    Belgium  6.923                     1.356   \n",
       "18              United States  6.892                     1.433   \n",
       "19             Czech Republic  6.852                     1.269   \n",
       "20       United Arab Emirates  6.825                     1.503   \n",
       "21                      Malta  6.726                     1.300   \n",
       "22                     Mexico  6.595                     1.070   \n",
       "23                     France  6.592                     1.324   \n",
       "24                     Taiwan  6.446                     1.368   \n",
       "25                      Chile  6.444                     1.159   \n",
       "26                  Guatemala  6.436                     0.800   \n",
       "27               Saudi Arabia  6.375                     1.403   \n",
       "28                      Qatar  6.374                     1.684   \n",
       "29                      Spain  6.354                     1.286   \n",
       "30                     Panama  6.321                     1.149   \n",
       "31                     Brazil  6.300                     1.004   \n",
       "32                    Uruguay  6.293                     1.124   \n",
       "33                  Singapore  6.262                     1.572   \n",
       "34                El Salvador  6.253                     0.794   \n",
       "35                      Italy  6.223                     1.294   \n",
       "36                    Bahrain  6.199                     1.362   \n",
       "37                   Slovakia  6.198                     1.246   \n",
       "38          Trinidad & Tobago  6.192                     1.231   \n",
       "39                     Poland  6.182                     1.206   \n",
       "40                 Uzbekistan  6.174                     0.745   \n",
       "41                  Lithuania  6.149                     1.238   \n",
       "42                   Colombia  6.125                     0.985   \n",
       "43                   Slovenia  6.118                     1.258   \n",
       "44                  Nicaragua  6.105                     0.694   \n",
       "45                     Kosovo  6.100                     0.882   \n",
       "46                  Argentina  6.086                     1.092   \n",
       "47                    Romania  6.070                     1.162   \n",
       "48                     Cyprus  6.046                     1.263   \n",
       "49                    Ecuador  6.028                     0.912   \n",
       "50                     Kuwait  6.021                     1.500   \n",
       "51                   Thailand  6.008                     1.050   \n",
       "52                     Latvia  5.940                     1.187   \n",
       "53                South Korea  5.895                     1.301   \n",
       "54                    Estonia  5.893                     1.237   \n",
       "55                    Jamaica  5.890                     0.831   \n",
       "56                  Mauritius  5.888                     1.120   \n",
       "57                      Japan  5.886                     1.327   \n",
       "58                   Honduras  5.860                     0.642   \n",
       "59                 Kazakhstan  5.809                     1.173   \n",
       "60                    Bolivia  5.779                     0.776   \n",
       "61                    Hungary  5.758                     1.201   \n",
       "62                   Paraguay  5.743                     0.855   \n",
       "63            Northern Cyprus  5.718                     1.263   \n",
       "64                       Peru  5.697                     0.960   \n",
       "65                   Portugal  5.693                     1.221   \n",
       "66                   Pakistan  5.653                     0.677   \n",
       "67                     Russia  5.648                     1.183   \n",
       "68                Philippines  5.631                     0.807   \n",
       "69                     Serbia  5.603                     1.004   \n",
       "70                    Moldova  5.529                     0.685   \n",
       "71                      Libya  5.525                     1.044   \n",
       "72                 Montenegro  5.523                     1.051   \n",
       "73                 Tajikistan  5.467                     0.493   \n",
       "74                    Croatia  5.432                     1.155   \n",
       "75                  Hong Kong  5.430                     1.438   \n",
       "76         Dominican Republic  5.425                     1.015   \n",
       "77     Bosnia and Herzegovina  5.386                     0.945   \n",
       "78                     Turkey  5.373                     1.183   \n",
       "79                   Malaysia  5.339                     1.221   \n",
       "80                    Belarus  5.323                     1.067   \n",
       "81                     Greece  5.287                     1.181   \n",
       "82                   Mongolia  5.285                     0.948   \n",
       "83            North Macedonia  5.274                     0.983   \n",
       "84                    Nigeria  5.265                     0.696   \n",
       "85                 Kyrgyzstan  5.261                     0.551   \n",
       "87                    Algeria  5.211                     1.002   \n",
       "88                    Morocco  5.208                     0.801   \n",
       "89                 Azerbaijan  5.208                     1.043   \n",
       "90                    Lebanon  5.197                     0.987   \n",
       "91                  Indonesia  5.192                     0.931   \n",
       "92                      China  5.191                     1.029   \n",
       "93                    Vietnam  5.175                     0.741   \n",
       "94                     Bhutan  5.082                     0.813   \n",
       "95                   Cameroon  5.044                     0.549   \n",
       "97                      Ghana  4.996                     0.611   \n",
       "99                      Nepal  4.913                     0.446   \n",
       "100                    Jordan  4.906                     0.837   \n",
       "101                     Benin  4.883                     0.393   \n",
       "102       Congo (Brazzaville)  4.812                     0.673   \n",
       "103                     Gabon  4.799                     1.057   \n",
       "104                      Laos  4.796                     0.764   \n",
       "105              South Africa  4.722                     0.960   \n",
       "106                   Albania  4.719                     0.947   \n",
       "107                 Venezuela  4.707                     0.960   \n",
       "108                  Cambodia  4.700                     0.574   \n",
       "109   Palestinian Territories  4.696                     0.657   \n",
       "110                   Senegal  4.681                     0.450   \n",
       "112                   Namibia  4.639                     0.879   \n",
       "113                     Niger  4.628                     0.138   \n",
       "114              Burkina Faso  4.587                     0.331   \n",
       "115                   Armenia  4.559                     0.850   \n",
       "116                      Iran  4.548                     1.100   \n",
       "118                   Georgia  4.519                     0.886   \n",
       "120                     Kenya  4.509                     0.512   \n",
       "121                Mauritania  4.490                     0.570   \n",
       "122                Mozambique  4.466                     0.204   \n",
       "123                   Tunisia  4.461                     0.921   \n",
       "124                Bangladesh  4.456                     0.562   \n",
       "126          Congo (Kinshasa)  4.418                     0.094   \n",
       "127                      Mali  4.390                     0.385   \n",
       "128              Sierra Leone  4.374                     0.268   \n",
       "129                 Sri Lanka  4.366                     0.949   \n",
       "130                   Myanmar  4.360                     0.710   \n",
       "131                      Chad  4.350                     0.350   \n",
       "132                   Ukraine  4.332                     0.820   \n",
       "133                  Ethiopia  4.286                     0.336   \n",
       "135                    Uganda  4.189                     0.332   \n",
       "136                     Egypt  4.166                     0.913   \n",
       "137                    Zambia  4.107                     0.578   \n",
       "138                      Togo  4.085                     0.275   \n",
       "139                     India  4.015                     0.755   \n",
       "140                   Liberia  3.975                     0.073   \n",
       "141                   Comoros  3.973                     0.274   \n",
       "142                Madagascar  3.933                     0.274   \n",
       "143                   Lesotho  3.802                     0.489   \n",
       "144                   Burundi  3.775                     0.046   \n",
       "145                  Zimbabwe  3.663                     0.366   \n",
       "146                     Haiti  3.597                     0.323   \n",
       "148                     Syria  3.462                     0.619   \n",
       "149                    Malawi  3.410                     0.191   \n",
       "150                     Yemen  3.380                     0.287   \n",
       "151                    Rwanda  3.334                     0.359   \n",
       "152                  Tanzania  3.231                     0.476   \n",
       "153               Afghanistan  3.203                     0.350   \n",
       "154  Central African Republic  3.083                     0.026   \n",
       "155               South Sudan  2.853                     0.306   \n",
       "\n",
       "     Social Support  Health (Life Expectancy)  Freedom  Generosity  \\\n",
       "0             1.587                     0.986    0.596       0.153   \n",
       "1             1.573                     0.996    0.592       0.252   \n",
       "2             1.582                     1.028    0.603       0.271   \n",
       "3             1.624                     1.026    0.591       0.354   \n",
       "4             1.522                     0.999    0.557       0.322   \n",
       "5             1.526                     1.052    0.572       0.263   \n",
       "6             1.487                     1.009    0.574       0.267   \n",
       "7             1.557                     1.026    0.585       0.330   \n",
       "8             1.505                     1.039    0.584       0.285   \n",
       "9             1.475                     1.016    0.532       0.244   \n",
       "10            1.548                     1.036    0.557       0.332   \n",
       "11            1.441                     0.963    0.558       0.144   \n",
       "12            1.455                     1.029    0.371       0.261   \n",
       "13            1.479                     1.012    0.526       0.194   \n",
       "14            1.538                     0.996    0.450       0.348   \n",
       "15            1.553                     0.999    0.516       0.298   \n",
       "16            1.454                     0.987    0.495       0.261   \n",
       "17            1.504                     0.986    0.473       0.160   \n",
       "18            1.457                     0.874    0.454       0.280   \n",
       "19            1.487                     0.920    0.457       0.046   \n",
       "20            1.310                     0.825    0.598       0.262   \n",
       "21            1.520                     0.999    0.564       0.375   \n",
       "22            1.323                     0.861    0.433       0.074   \n",
       "23            1.472                     1.045    0.436       0.111   \n",
       "24            1.430                     0.914    0.351       0.242   \n",
       "25            1.369                     0.920    0.357       0.187   \n",
       "26            1.269                     0.746    0.535       0.175   \n",
       "27            1.357                     0.795    0.439       0.080   \n",
       "28            1.313                     0.871    0.555       0.220   \n",
       "29            1.484                     1.062    0.362       0.153   \n",
       "30            1.442                     0.910    0.516       0.109   \n",
       "31            1.439                     0.802    0.390       0.099   \n",
       "32            1.465                     0.891    0.523       0.127   \n",
       "33            1.463                     1.141    0.556       0.271   \n",
       "34            1.242                     0.789    0.430       0.093   \n",
       "35            1.488                     1.039    0.231       0.158   \n",
       "36            1.368                     0.871    0.536       0.255   \n",
       "37            1.504                     0.881    0.334       0.121   \n",
       "38            1.477                     0.713    0.489       0.185   \n",
       "39            1.438                     0.884    0.483       0.117   \n",
       "40            1.529                     0.756    0.631       0.322   \n",
       "41            1.515                     0.818    0.291       0.043   \n",
       "42            1.410                     0.841    0.470       0.099   \n",
       "43            1.523                     0.953    0.564       0.144   \n",
       "44            1.325                     0.835    0.435       0.200   \n",
       "45            1.232                     0.758    0.489       0.262   \n",
       "46            1.432                     0.881    0.471       0.066   \n",
       "47            1.232                     0.825    0.462       0.083   \n",
       "48            1.223                     1.042    0.406       0.190   \n",
       "49            1.312                     0.868    0.498       0.126   \n",
       "50            1.319                     0.808    0.493       0.142   \n",
       "51            1.409                     0.828    0.557       0.359   \n",
       "52            1.465                     0.812    0.264       0.075   \n",
       "53            1.219                     1.036    0.159       0.175   \n",
       "54            1.528                     0.874    0.495       0.103   \n",
       "55            1.478                     0.831    0.490       0.107   \n",
       "56            1.402                     0.798    0.498       0.215   \n",
       "57            1.419                     1.088    0.445       0.069   \n",
       "58            1.236                     0.828    0.507       0.246   \n",
       "59            1.508                     0.729    0.410       0.146   \n",
       "60            1.209                     0.706    0.511       0.137   \n",
       "61            1.410                     0.828    0.199       0.081   \n",
       "62            1.475                     0.777    0.514       0.184   \n",
       "63            1.252                     1.042    0.417       0.191   \n",
       "64            1.274                     0.854    0.455       0.083   \n",
       "65            1.431                     0.999    0.508       0.047   \n",
       "66            0.886                     0.535    0.313       0.220   \n",
       "67            1.452                     0.726    0.334       0.082   \n",
       "68            1.293                     0.657    0.558       0.117   \n",
       "69            1.383                     0.854    0.282       0.137   \n",
       "70            1.328                     0.739    0.245       0.181   \n",
       "71            1.303                     0.673    0.416       0.133   \n",
       "72            1.361                     0.871    0.197       0.142   \n",
       "73            1.098                     0.718    0.389       0.230   \n",
       "74            1.266                     0.914    0.296       0.119   \n",
       "75            1.277                     1.122    0.440       0.258   \n",
       "76            1.401                     0.779    0.497       0.113   \n",
       "77            1.212                     0.845    0.212       0.263   \n",
       "78            1.360                     0.808    0.195       0.083   \n",
       "79            1.171                     0.828    0.508       0.260   \n",
       "80            1.465                     0.789    0.235       0.094   \n",
       "81            1.156                     0.999    0.067       0.000   \n",
       "82            1.531                     0.667    0.317       0.235   \n",
       "83            1.294                     0.838    0.345       0.185   \n",
       "84            1.111                     0.245    0.426       0.215   \n",
       "85            1.438                     0.723    0.508       0.300   \n",
       "87            1.160                     0.785    0.086       0.073   \n",
       "88            0.782                     0.782    0.418       0.036   \n",
       "89            1.147                     0.769    0.351       0.035   \n",
       "90            1.224                     0.815    0.216       0.166   \n",
       "91            1.203                     0.660    0.491       0.498   \n",
       "92            1.125                     0.893    0.521       0.058   \n",
       "93            1.346                     0.851    0.543       0.147   \n",
       "94            1.321                     0.604    0.457       0.370   \n",
       "95            0.910                     0.331    0.381       0.187   \n",
       "97            0.868                     0.486    0.381       0.245   \n",
       "99            1.226                     0.677    0.439       0.285   \n",
       "100           1.225                     0.815    0.383       0.110   \n",
       "101           0.437                     0.397    0.349       0.175   \n",
       "102           0.799                     0.508    0.372       0.105   \n",
       "103           1.183                     0.571    0.295       0.043   \n",
       "104           1.030                     0.551    0.547       0.266   \n",
       "105           1.351                     0.469    0.389       0.130   \n",
       "106           0.848                     0.874    0.383       0.178   \n",
       "107           1.427                     0.805    0.154       0.064   \n",
       "108           1.122                     0.637    0.609       0.232   \n",
       "109           1.247                     0.672    0.225       0.103   \n",
       "110           1.134                     0.571    0.292       0.153   \n",
       "112           1.313                     0.477    0.401       0.070   \n",
       "113           0.774                     0.366    0.318       0.188   \n",
       "114           1.056                     0.380    0.255       0.177   \n",
       "115           1.055                     0.815    0.283       0.095   \n",
       "116           0.842                     0.785    0.305       0.270   \n",
       "118           0.666                     0.752    0.346       0.043   \n",
       "120           0.983                     0.581    0.431       0.372   \n",
       "121           1.167                     0.489    0.066       0.106   \n",
       "122           0.986                     0.390    0.494       0.197   \n",
       "123           1.000                     0.815    0.167       0.059   \n",
       "124           0.928                     0.723    0.527       0.166   \n",
       "126           1.125                     0.357    0.269       0.212   \n",
       "127           1.105                     0.308    0.327       0.153   \n",
       "128           0.841                     0.242    0.309       0.252   \n",
       "129           1.265                     0.831    0.470       0.244   \n",
       "130           1.181                     0.555    0.525       0.566   \n",
       "131           0.766                     0.192    0.174       0.198   \n",
       "132           1.390                     0.739    0.178       0.187   \n",
       "133           1.033                     0.532    0.344       0.209   \n",
       "135           1.069                     0.443    0.356       0.252   \n",
       "136           1.039                     0.644    0.241       0.076   \n",
       "137           1.058                     0.426    0.431       0.247   \n",
       "138           0.572                     0.410    0.293       0.177   \n",
       "139           0.765                     0.588    0.498       0.200   \n",
       "140           0.922                     0.443    0.370       0.233   \n",
       "141           0.757                     0.505    0.142       0.275   \n",
       "142           0.916                     0.555    0.148       0.169   \n",
       "143           1.169                     0.168    0.359       0.107   \n",
       "144           0.447                     0.380    0.220       0.176   \n",
       "145           1.114                     0.433    0.361       0.151   \n",
       "146           0.688                     0.449    0.026       0.419   \n",
       "148           0.378                     0.440    0.013       0.331   \n",
       "149           0.560                     0.495    0.443       0.218   \n",
       "150           1.163                     0.463    0.143       0.108   \n",
       "151           0.711                     0.614    0.555       0.217   \n",
       "152           0.885                     0.499    0.417       0.276   \n",
       "153           0.517                     0.361    0.000       0.158   \n",
       "154           0.000                     0.105    0.225       0.235   \n",
       "155           0.575                     0.295    0.010       0.202   \n",
       "\n",
       "     Perception of Corruption  \n",
       "0                       0.393  \n",
       "1                       0.410  \n",
       "2                       0.341  \n",
       "3                       0.118  \n",
       "4                       0.298  \n",
       "5                       0.343  \n",
       "6                       0.373  \n",
       "7                       0.380  \n",
       "8                       0.308  \n",
       "9                       0.226  \n",
       "10                      0.290  \n",
       "11                      0.093  \n",
       "12                      0.082  \n",
       "13                      0.316  \n",
       "14                      0.278  \n",
       "15                      0.310  \n",
       "16                      0.265  \n",
       "17                      0.210  \n",
       "18                      0.128  \n",
       "19                      0.036  \n",
       "20                      0.182  \n",
       "21                      0.151  \n",
       "22                      0.073  \n",
       "23                      0.183  \n",
       "24                      0.097  \n",
       "25                      0.056  \n",
       "26                      0.078  \n",
       "27                      0.132  \n",
       "28                      0.167  \n",
       "29                      0.079  \n",
       "30                      0.054  \n",
       "31                      0.086  \n",
       "32                      0.150  \n",
       "33                      0.453  \n",
       "34                      0.074  \n",
       "35                      0.030  \n",
       "36                      0.110  \n",
       "37                      0.014  \n",
       "38                      0.016  \n",
       "39                      0.050  \n",
       "40                      0.240  \n",
       "41                      0.042  \n",
       "42                      0.034  \n",
       "43                      0.057  \n",
       "44                      0.127  \n",
       "45                      0.006  \n",
       "46                      0.050  \n",
       "47                      0.005  \n",
       "48                      0.041  \n",
       "49                      0.087  \n",
       "50                      0.097  \n",
       "51                      0.028  \n",
       "52                      0.064  \n",
       "53                      0.056  \n",
       "54                      0.161  \n",
       "55                      0.028  \n",
       "56                      0.060  \n",
       "57                      0.140  \n",
       "58                      0.078  \n",
       "59                      0.096  \n",
       "60                      0.064  \n",
       "61                      0.020  \n",
       "62                      0.080  \n",
       "63                      0.162  \n",
       "64                      0.027  \n",
       "65                      0.025  \n",
       "66                      0.098  \n",
       "67                      0.031  \n",
       "68                      0.107  \n",
       "69                      0.039  \n",
       "70                      0.000  \n",
       "71                      0.152  \n",
       "72                      0.080  \n",
       "73                      0.144  \n",
       "74                      0.022  \n",
       "75                      0.287  \n",
       "76                      0.101  \n",
       "77                      0.006  \n",
       "78                      0.106  \n",
       "79                      0.024  \n",
       "80                      0.142  \n",
       "81                      0.034  \n",
       "82                      0.038  \n",
       "83                      0.034  \n",
       "84                      0.041  \n",
       "85                      0.023  \n",
       "87                      0.114  \n",
       "88                      0.076  \n",
       "89                      0.182  \n",
       "90                      0.027  \n",
       "91                      0.028  \n",
       "92                      0.100  \n",
       "93                      0.073  \n",
       "94                      0.167  \n",
       "95                      0.037  \n",
       "97                      0.040  \n",
       "99                      0.089  \n",
       "100                     0.130  \n",
       "101                     0.082  \n",
       "102                     0.093  \n",
       "103                     0.055  \n",
       "104                     0.164  \n",
       "105                     0.055  \n",
       "106                     0.027  \n",
       "107                     0.047  \n",
       "108                     0.062  \n",
       "109                     0.066  \n",
       "110                     0.072  \n",
       "112                     0.056  \n",
       "113                     0.102  \n",
       "114                     0.113  \n",
       "115                     0.064  \n",
       "116                     0.125  \n",
       "118                     0.164  \n",
       "120                     0.053  \n",
       "121                     0.088  \n",
       "122                     0.138  \n",
       "123                     0.055  \n",
       "124                     0.143  \n",
       "126                     0.053  \n",
       "127                     0.052  \n",
       "128                     0.045  \n",
       "129                     0.047  \n",
       "130                     0.172  \n",
       "131                     0.078  \n",
       "132                     0.010  \n",
       "133                     0.100  \n",
       "135                     0.060  \n",
       "136                     0.067  \n",
       "137                     0.087  \n",
       "138                     0.085  \n",
       "139                     0.085  \n",
       "140                     0.033  \n",
       "141                     0.078  \n",
       "142                     0.041  \n",
       "143                     0.093  \n",
       "144                     0.180  \n",
       "145                     0.089  \n",
       "146                     0.110  \n",
       "148                     0.141  \n",
       "149                     0.089  \n",
       "150                     0.077  \n",
       "151                     0.411  \n",
       "152                     0.147  \n",
       "153                     0.025  \n",
       "154                     0.035  \n",
       "155                     0.091  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Rename the columns to make it more easy to understand\n",
    "\n",
    "happiness = happiness.rename(columns = {'Overall rank': 'Rank', 'Country or region': 'Country', \n",
    "                                        'GDP per capita': 'Economy (GDP per Capita)', 'Social support': 'Social Support', \n",
    "                                        'Healthy life expectancy': 'Health (Life Expectancy)', \n",
    "                                        'Freedom to make life choices': 'Freedom',\n",
    "                                        'Perceptions of corruption': 'Perception of Corruption'})\n",
    "\n",
    "#cleaning null value and inconsistent data\n",
    "happiness.drop(index=86,axis=0 , inplace=True)\n",
    "happiness.drop(index=96,axis=0 , inplace=True)\n",
    "happiness.drop(index=98,axis=0 , inplace=True)\n",
    "happiness.drop(index=111,axis=0 , inplace=True)\n",
    "happiness.drop(index=117,axis=0 , inplace=True)\n",
    "happiness.drop(index=119,axis=0 , inplace=True)\n",
    "happiness.drop(index=125,axis=0 , inplace=True)\n",
    "happiness.drop(index=134,axis=0 , inplace=True)\n",
    "happiness.drop(index=147,axis=0 , inplace=True)\n",
    "\n",
    "# Dropping the unimportant columns\n",
    "\n",
    "happiness.drop(['Rank'], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "number of dyplicate rows:  (0, 9)\n"
     ]
    }
   ],
   "source": [
    "# Checking if the rows containing any duplicate data or not\n",
    "\n",
    "duplicate_rows_happiness = happiness[happiness.duplicated()]\n",
    "print(\"number of dyplicate rows: \", duplicate_rows_happiness.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rank                        0\n",
      "Country                     0\n",
      "Score                       0\n",
      "Economy (GDP per Capita)    0\n",
      "Social Support              0\n",
      "Health (Life Expectancy)    0\n",
      "Freedom                     0\n",
      "Generosity                  0\n",
      "Perception of Corruption    0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# Find the null values.\n",
    "\n",
    "print(happiness.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Rank                        147\n",
       "Country                     147\n",
       "Score                       147\n",
       "Economy (GDP per Capita)    147\n",
       "Social Support              147\n",
       "Health (Life Expectancy)    147\n",
       "Freedom                     147\n",
       "Generosity                  147\n",
       "Perception of Corruption    147\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop the missing values.\n",
    "happiness = happiness.dropna() \n",
    "happiness.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rank                        0\n",
      "Country                     0\n",
      "Score                       0\n",
      "Economy (GDP per Capita)    0\n",
      "Social Support              0\n",
      "Health (Life Expectancy)    0\n",
      "Freedom                     0\n",
      "Generosity                  0\n",
      "Perception of Corruption    0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# After dropping the values\n",
    "\n",
    "print(happiness.isnull().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R2:  0.5694117211173655\n"
     ]
    }
   ],
   "source": [
    "# Decision Tree Regression\n",
    "\n",
    "x = pd.DataFrame(np.c_[happiness['Economy (GDP per Capita)'], happiness['Social Support'], happiness['Health (Life Expectancy)']], \n",
    "                 columns = ['Economy (GDP per Capita)','Social Support','Health (Life Expectancy)'])\n",
    "y = happiness['Score']\n",
    "\n",
    "# split the data using train_test_split\n",
    "from sklearn.model_selection import train_test_split\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size = 0.2, random_state=42)\n",
    "\n",
    "# build the model\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "regressor = DecisionTreeRegressor()\n",
    "\n",
    "# Fitting Decision Tree Regression into dataset\n",
    "regressor.fit(x_train, y_train)\n",
    "\n",
    "y_pred = regressor.predict(x_test)\n",
    "\n",
    "# test the accuracy/performance measurement using R2\n",
    "print('R2: ', regressor.score(x_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>Real Values</th>\n",
       "      <th>Predicted Values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>4.332</td>\n",
       "      <td>5.261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>6.008</td>\n",
       "      <td>5.523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>3.597</td>\n",
       "      <td>4.085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>6.852</td>\n",
       "      <td>6.118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>4.707</td>\n",
       "      <td>6.125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>7.139</td>\n",
       "      <td>6.223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>5.425</td>\n",
       "      <td>5.523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>6.300</td>\n",
       "      <td>6.125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>5.287</td>\n",
       "      <td>5.339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>7.246</td>\n",
       "      <td>6.985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>6.436</td>\n",
       "      <td>6.253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>4.913</td>\n",
       "      <td>5.779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>3.231</td>\n",
       "      <td>4.996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>5.648</td>\n",
       "      <td>5.888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>3.933</td>\n",
       "      <td>4.286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>5.653</td>\n",
       "      <td>4.996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>6.892</td>\n",
       "      <td>6.825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>5.603</td>\n",
       "      <td>6.125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>4.350</td>\n",
       "      <td>4.374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>6.321</td>\n",
       "      <td>6.293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>6.354</td>\n",
       "      <td>6.223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>4.700</td>\n",
       "      <td>4.166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>6.199</td>\n",
       "      <td>6.446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>4.456</td>\n",
       "      <td>5.208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>5.890</td>\n",
       "      <td>5.743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>6.595</td>\n",
       "      <td>5.523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>5.697</td>\n",
       "      <td>5.386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>3.973</td>\n",
       "      <td>4.286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>5.285</td>\n",
       "      <td>4.696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>7.167</td>\n",
       "      <td>5.323</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Real Values  Predicted Values\n",
       "132        4.332             5.261\n",
       "51         6.008             5.523\n",
       "146        3.597             4.085\n",
       "19         6.852             6.118\n",
       "107        4.707             6.125\n",
       "12         7.139             6.223\n",
       "76         5.425             5.523\n",
       "31         6.300             6.125\n",
       "81         5.287             5.339\n",
       "9          7.246             6.985\n",
       "26         6.436             6.253\n",
       "99         4.913             5.779\n",
       "152        3.231             4.996\n",
       "67         5.648             5.888\n",
       "142        3.933             4.286\n",
       "66         5.653             4.996\n",
       "18         6.892             6.825\n",
       "69         5.603             6.125\n",
       "131        4.350             4.374\n",
       "30         6.321             6.293\n",
       "29         6.354             6.223\n",
       "108        4.700             4.166\n",
       "36         6.199             6.446\n",
       "124        4.456             5.208\n",
       "55         5.890             5.743\n",
       "22         6.595             5.523\n",
       "64         5.697             5.386\n",
       "141        3.973             4.286\n",
       "82         5.285             4.696\n",
       "11         7.167             5.323"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame({'Real Values':y_test, 'Predicted Values':y_pred})\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualising the Decision Tree Regression Results \n",
    "\n",
    "X_grid = np.arange(0, 10)\n",
    "X_grid = X_grid.reshape((len(X_grid), 1))\n",
    "plt.scatter(y_pred, y_test)\n",
    "plt.title('Decision Tree Regression')\n",
    "plt.xlabel('Predicted Score')\n",
    "plt.ylabel('Score')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5222810333333335"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn import metrics\n",
    "mse = metrics.mean_squared_error(y_test, y_pred)\n",
    "mse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean in first_cv_scores is -0.87 and in second_cv_scores is -0.68\n"
     ]
    }
   ],
   "source": [
    "# k-fold cross validation of decision tree regression\n",
    "\n",
    "from sklearn.model_selection import cross_val_score\n",
    "regressor = DecisionTreeRegressor()\n",
    "\n",
    "first_cv_scores = cross_val_score(regressor, x, y, cv=5, scoring='neg_mean_squared_error')\n",
    "second_cv_scores = cross_val_score(regressor, x, y, cv=10, scoring='neg_mean_squared_error')\n",
    "print('mean in first_cv_scores is {0:.2f} and in second_cv_scores is {1:.2f}'.format(np.mean\n",
    "(first_cv_scores),\n",
    " np.mean\n",
    "(second_cv_scores)))\n",
    "\n",
    "# neg_mean_squared_error is better when close to 0.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
关于这个算法
# Import libraries require

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

%matplotlib inline
sns.set(color_codes = True)
# Load the data into data frame according to the file where you save it

happiness = pd.read_csv("c://2019.csv")

# Let data frame to display all the data

pd.set_option("display.max_rows", None)

# show the data
happiness
Overall rank Country or region Score GDP per capita Social support Healthy life expectancy Freedom to make life choices Generosity Perceptions of corruption
0 1 Finland 7.769 1.340 1.587 0.986 0.596 0.153 0.393
1 2 Denmark 7.600 1.383 1.573 0.996 0.592 0.252 0.410
2 3 Norway 7.554 1.488 1.582 1.028 0.603 0.271 0.341
3 4 Iceland 7.494 1.380 1.624 1.026 0.591 0.354 0.118
4 5 Netherlands 7.488 1.396 1.522 0.999 0.557 0.322 0.298
5 6 Switzerland 7.480 1.452 1.526 1.052 0.572 0.263 0.343
6 7 Sweden 7.343 1.387 1.487 1.009 0.574 0.267 0.373
7 8 New Zealand 7.307 1.303 1.557 1.026 0.585 0.330 0.380
8 9 Canada 7.278 1.365 1.505 1.039 0.584 0.285 0.308
9 10 Austria 7.246 1.376 1.475 1.016 0.532 0.244 0.226
10 11 Australia 7.228 1.372 1.548 1.036 0.557 0.332 0.290
11 12 Costa Rica 7.167 1.034 1.441 0.963 0.558 0.144 0.093
12 13 Israel 7.139 1.276 1.455 1.029 0.371 0.261 0.082
13 14 Luxembourg 7.090 1.609 1.479 1.012 0.526 0.194 0.316
14 15 United Kingdom 7.054 1.333 1.538 0.996 0.450 0.348 0.278
15 16 Ireland 7.021 1.499 1.553 0.999 0.516 0.298 0.310
16 17 Germany 6.985 1.373 1.454 0.987 0.495 0.261 0.265
17 18 Belgium 6.923 1.356 1.504 0.986 0.473 0.160 0.210
18 19 United States 6.892 1.433 1.457 0.874 0.454 0.280 0.128
19 20 Czech Republic 6.852 1.269 1.487 0.920 0.457 0.046 0.036
20 21 United Arab Emirates 6.825 1.503 1.310 0.825 0.598 0.262 0.182
21 22 Malta 6.726 1.300 1.520 0.999 0.564 0.375 0.151
22 23 Mexico 6.595 1.070 1.323 0.861 0.433 0.074 0.073
23 24 France 6.592 1.324 1.472 1.045 0.436 0.111 0.183
24 25 Taiwan 6.446 1.368 1.430 0.914 0.351 0.242 0.097
25 26 Chile 6.444 1.159 1.369 0.920 0.357 0.187 0.056
26 27 Guatemala 6.436 0.800 1.269 0.746 0.535 0.175 0.078
27 28 Saudi Arabia 6.375 1.403 1.357 0.795 0.439 0.080 0.132
28 29 Qatar 6.374 1.684 1.313 0.871 0.555 0.220 0.167
29 30 Spain 6.354 1.286 1.484 1.062 0.362 0.153 0.079
30 31 Panama 6.321 1.149 1.442 0.910 0.516 0.109 0.054
31 32 Brazil 6.300 1.004 1.439 0.802 0.390 0.099 0.086
32 33 Uruguay 6.293 1.124 1.465 0.891 0.523 0.127 0.150
33 34 Singapore 6.262 1.572 1.463 1.141 0.556 0.271 0.453
34 35 El Salvador 6.253 0.794 1.242 0.789 0.430 0.093 0.074
35 36 Italy 6.223 1.294 1.488 1.039 0.231 0.158 0.030
36 37 Bahrain 6.199 1.362 1.368 0.871 0.536 0.255 0.110
37 38 Slovakia 6.198 1.246 1.504 0.881 0.334 0.121 0.014
38 39 Trinidad & Tobago 6.192 1.231 1.477 0.713 0.489 0.185 0.016
39 40 Poland 6.182 1.206 1.438 0.884 0.483 0.117 0.050
40 41 Uzbekistan 6.174 0.745 1.529 0.756 0.631 0.322 0.240
41 42 Lithuania 6.149 1.238 1.515 0.818 0.291 0.043 0.042
42 43 Colombia 6.125 0.985 1.410 0.841 0.470 0.099 0.034
43 44 Slovenia 6.118 1.258 1.523 0.953 0.564 0.144 0.057
44 45 Nicaragua 6.105 0.694 1.325 0.835 0.435 0.200 0.127
45 46 Kosovo 6.100 0.882 1.232 0.758 0.489 0.262 0.006
46 47 Argentina 6.086 1.092 1.432 0.881 0.471 0.066 0.050
47 48 Romania 6.070 1.162 1.232 0.825 0.462 0.083 0.005
48 49 Cyprus 6.046 1.263 1.223 1.042 0.406 0.190 0.041
49 50 Ecuador 6.028 0.912 1.312 0.868 0.498 0.126 0.087
50 51 Kuwait 6.021 1.500 1.319 0.808 0.493 0.142 0.097
51 52 Thailand 6.008 1.050 1.409 0.828 0.557 0.359 0.028
52 53 Latvia 5.940 1.187 1.465 0.812 0.264 0.075 0.064
53 54 South Korea 5.895 1.301 1.219 1.036 0.159 0.175 0.056
54 55 Estonia 5.893 1.237 1.528 0.874 0.495 0.103 0.161
55 56 Jamaica 5.890 0.831 1.478 0.831 0.490 0.107 0.028
56 57 Mauritius 5.888 1.120 1.402 0.798 0.498 0.215 0.060
57 58 Japan 5.886 1.327 1.419 1.088 0.445 0.069 0.140
58 59 Honduras 5.860 0.642 1.236 0.828 0.507 0.246 0.078
59 60 Kazakhstan 5.809 1.173 1.508 0.729 0.410 0.146 0.096
60 61 Bolivia 5.779 0.776 1.209 0.706 0.511 0.137 0.064
61 62 Hungary 5.758 1.201 1.410 0.828 0.199 0.081 0.020
62 63 Paraguay 5.743 0.855 1.475 0.777 0.514 0.184 0.080
63 64 Northern Cyprus 5.718 1.263 1.252 1.042 0.417 0.191 0.162
64 65 Peru 5.697 0.960 1.274 0.854 0.455 0.083 0.027
65 66 Portugal 5.693 1.221 1.431 0.999 0.508 0.047 0.025
66 67 Pakistan 5.653 0.677 0.886 0.535 0.313 0.220 0.098
67 68 Russia 5.648 1.183 1.452 0.726 0.334 0.082 0.031
68 69 Philippines 5.631 0.807 1.293 0.657 0.558 0.117 0.107
69 70 Serbia 5.603 1.004 1.383 0.854 0.282 0.137 0.039
70 71 Moldova 5.529 0.685 1.328 0.739 0.245 0.181 0.000
71 72 Libya 5.525 1.044 1.303 0.673 0.416 0.133 0.152
72 73 Montenegro 5.523 1.051 1.361 0.871 0.197 0.142 0.080
73 74 Tajikistan 5.467 0.493 1.098 0.718 0.389 0.230 0.144
74 75 Croatia 5.432 1.155 1.266 0.914 0.296 0.119 0.022
75 76 Hong Kong 5.430 1.438 1.277 1.122 0.440 0.258 0.287
76 77 Dominican Republic 5.425 1.015 1.401 0.779 0.497 0.113 0.101
77 78 Bosnia and Herzegovina 5.386 0.945 1.212 0.845 0.212 0.263 0.006
78 79 Turkey 5.373 1.183 1.360 0.808 0.195 0.083 0.106
79 80 Malaysia 5.339 1.221 1.171 0.828 0.508 0.260 0.024
80 81 Belarus 5.323 1.067 1.465 0.789 0.235 0.094 0.142
81 82 Greece 5.287 1.181 1.156 0.999 0.067 0.000 0.034
82 83 Mongolia 5.285 0.948 1.531 0.667 0.317 0.235 0.038
83 84 North Macedonia 5.274 0.983 1.294 0.838 0.345 0.185 0.034
84 85 Nigeria 5.265 0.696 1.111 0.245 0.426 0.215 0.041
85 86 Kyrgyzstan 5.261 0.551 1.438 0.723 0.508 0.300 0.023
86 87 Turkmenistan 5.247 1.052 1.538 0.657 0.394 0.244 0.028
87 88 Algeria 5.211 1.002 1.160 0.785 0.086 0.073 0.114
88 89 Morocco 5.208 0.801 0.782 0.782 0.418 0.036 0.076
89 90 Azerbaijan 5.208 1.043 1.147 0.769 0.351 0.035 0.182
90 91 Lebanon 5.197 0.987 1.224 0.815 0.216 0.166 0.027
91 92 Indonesia 5.192 0.931 1.203 0.660 0.491 0.498 0.028
92 93 China 5.191 1.029 1.125 0.893 0.521 0.058 0.100
93 94 Vietnam 5.175 0.741 1.346 0.851 0.543 0.147 0.073
94 95 Bhutan 5.082 0.813 1.321 0.604 0.457 0.370 0.167
95 96 Cameroon 5.044 0.549 0.910 0.331 0.381 0.187 0.037
96 97 Bulgaria 5.011 1.092 1.513 0.815 0.311 0.081 0.004
97 98 Ghana 4.996 0.611 0.868 0.486 0.381 0.245 0.040
98 99 Ivory Coast 4.944 0.569 0.808 0.232 0.352 0.154 0.090
99 100 Nepal 4.913 0.446 1.226 0.677 0.439 0.285 0.089
100 101 Jordan 4.906 0.837 1.225 0.815 0.383 0.110 0.130
101 102 Benin 4.883 0.393 0.437 0.397 0.349 0.175 0.082
102 103 Congo (Brazzaville) 4.812 0.673 0.799 0.508 0.372 0.105 0.093
103 104 Gabon 4.799 1.057 1.183 0.571 0.295 0.043 0.055
104 105 Laos 4.796 0.764 1.030 0.551 0.547 0.266 0.164
105 106 South Africa 4.722 0.960 1.351 0.469 0.389 0.130 0.055
106 107 Albania 4.719 0.947 0.848 0.874 0.383 0.178 0.027
107 108 Venezuela 4.707 0.960 1.427 0.805 0.154 0.064 0.047
108 109 Cambodia 4.700 0.574 1.122 0.637 0.609 0.232 0.062
109 110 Palestinian Territories 4.696 0.657 1.247 0.672 0.225 0.103 0.066
110 111 Senegal 4.681 0.450 1.134 0.571 0.292 0.153 0.072
111 112 Somalia 4.668 0.000 0.698 0.268 0.559 0.243 0.270
112 113 Namibia 4.639 0.879 1.313 0.477 0.401 0.070 0.056
113 114 Niger 4.628 0.138 0.774 0.366 0.318 0.188 0.102
114 115 Burkina Faso 4.587 0.331 1.056 0.380 0.255 0.177 0.113
115 116 Armenia 4.559 0.850 1.055 0.815 0.283 0.095 0.064
116 117 Iran 4.548 1.100 0.842 0.785 0.305 0.270 0.125
117 118 Guinea 4.534 0.380 0.829 0.375 0.332 0.207 0.086
118 119 Georgia 4.519 0.886 0.666 0.752 0.346 0.043 0.164
119 120 Gambia 4.516 0.308 0.939 0.428 0.382 0.269 0.167
120 121 Kenya 4.509 0.512 0.983 0.581 0.431 0.372 0.053
121 122 Mauritania 4.490 0.570 1.167 0.489 0.066 0.106 0.088
122 123 Mozambique 4.466 0.204 0.986 0.390 0.494 0.197 0.138
123 124 Tunisia 4.461 0.921 1.000 0.815 0.167 0.059 0.055
124 125 Bangladesh 4.456 0.562 0.928 0.723 0.527 0.166 0.143
125 126 Iraq 4.437 1.043 0.980 0.574 0.241 0.148 0.089
126 127 Congo (Kinshasa) 4.418 0.094 1.125 0.357 0.269 0.212 0.053
127 128 Mali 4.390 0.385 1.105 0.308 0.327 0.153 0.052
128 129 Sierra Leone 4.374 0.268 0.841 0.242 0.309 0.252 0.045
129 130 Sri Lanka 4.366 0.949 1.265 0.831 0.470 0.244 0.047
130 131 Myanmar 4.360 0.710 1.181 0.555 0.525 0.566 0.172
131 132 Chad 4.350 0.350 0.766 0.192 0.174 0.198 0.078
132 133 Ukraine 4.332 0.820 1.390 0.739 0.178 0.187 0.010
133 134 Ethiopia 4.286 0.336 1.033 0.532 0.344 0.209 0.100
134 135 Swaziland 4.212 0.811 1.149 0.000 0.313 0.074 0.135
135 136 Uganda 4.189 0.332 1.069 0.443 0.356 0.252 0.060
136 137 Egypt 4.166 0.913 1.039 0.644 0.241 0.076 0.067
137 138 Zambia 4.107 0.578 1.058 0.426 0.431 0.247 0.087
138 139 Togo 4.085 0.275 0.572 0.410 0.293 0.177 0.085
139 140 India 4.015 0.755 0.765 0.588 0.498 0.200 0.085
140 141 Liberia 3.975 0.073 0.922 0.443 0.370 0.233 0.033
141 142 Comoros 3.973 0.274 0.757 0.505 0.142 0.275 0.078
142 143 Madagascar 3.933 0.274 0.916 0.555 0.148 0.169 0.041
143 144 Lesotho 3.802 0.489 1.169 0.168 0.359 0.107 0.093
144 145 Burundi 3.775 0.046 0.447 0.380 0.220 0.176 0.180
145 146 Zimbabwe 3.663 0.366 1.114 0.433 0.361 0.151 0.089
146 147 Haiti 3.597 0.323 0.688 0.449 0.026 0.419 0.110
147 148 Botswana 3.488 1.041 1.145 0.538 0.455 0.025 0.100
148 149 Syria 3.462 0.619 0.378 0.440 0.013 0.331 0.141
149 150 Malawi 3.410 0.191 0.560 0.495 0.443 0.218 0.089
150 151 Yemen 3.380 0.287 1.163 0.463 0.143 0.108 0.077
151 152 Rwanda 3.334 0.359 0.711 0.614 0.555 0.217 0.411
152 153 Tanzania 3.231 0.476 0.885 0.499 0.417 0.276 0.147
153 154 Afghanistan 3.203 0.350 0.517 0.361 0.000 0.158 0.025
154 155 Central African Republic 3.083 0.026 0.000 0.105 0.225 0.235 0.035
155 156 South Sudan 2.853 0.306 0.575 0.295 0.010 0.202 0.091
# Rename the columns to make it more easy to understand

happiness = happiness.rename(columns = {'Overall rank': 'Rank', 'Country or region': 'Country', 
                                        'GDP per capita': 'Economy (GDP per Capita)', 'Social support': 'Social Support', 
                                        'Healthy life expectancy': 'Health (Life Expectancy)', 
                                        'Freedom to make life choices': 'Freedom',
                                        'Perceptions of corruption': 'Perception of Corruption'})

#cleaning null value and inconsistent data
happiness.drop(index=86,axis=0 , inplace=True)
happiness.drop(index=96,axis=0 , inplace=True)
happiness.drop(index=98,axis=0 , inplace=True)
happiness.drop(index=111,axis=0 , inplace=True)
happiness.drop(index=117,axis=0 , inplace=True)
happiness.drop(index=119,axis=0 , inplace=True)
happiness.drop(index=125,axis=0 , inplace=True)
happiness.drop(index=134,axis=0 , inplace=True)
happiness.drop(index=147,axis=0 , inplace=True)

# Dropping the unimportant columns

happiness.drop(['Rank'], axis = 1)
Country Score Economy (GDP per Capita) Social Support Health (Life Expectancy) Freedom Generosity Perception of Corruption
0 Finland 7.769 1.340 1.587 0.986 0.596 0.153 0.393
1 Denmark 7.600 1.383 1.573 0.996 0.592 0.252 0.410
2 Norway 7.554 1.488 1.582 1.028 0.603 0.271 0.341
3 Iceland 7.494 1.380 1.624 1.026 0.591 0.354 0.118
4 Netherlands 7.488 1.396 1.522 0.999 0.557 0.322 0.298
5 Switzerland 7.480 1.452 1.526 1.052 0.572 0.263 0.343
6 Sweden 7.343 1.387 1.487 1.009 0.574 0.267 0.373
7 New Zealand 7.307 1.303 1.557 1.026 0.585 0.330 0.380
8 Canada 7.278 1.365 1.505 1.039 0.584 0.285 0.308
9 Austria 7.246 1.376 1.475 1.016 0.532 0.244 0.226
10 Australia 7.228 1.372 1.548 1.036 0.557 0.332 0.290
11 Costa Rica 7.167 1.034 1.441 0.963 0.558 0.144 0.093
12 Israel 7.139 1.276 1.455 1.029 0.371 0.261 0.082
13 Luxembourg 7.090 1.609 1.479 1.012 0.526 0.194 0.316
14 United Kingdom 7.054 1.333 1.538 0.996 0.450 0.348 0.278
15 Ireland 7.021 1.499 1.553 0.999 0.516 0.298 0.310
16 Germany 6.985 1.373 1.454 0.987 0.495 0.261 0.265
17 Belgium 6.923 1.356 1.504 0.986 0.473 0.160 0.210
18 United States 6.892 1.433 1.457 0.874 0.454 0.280 0.128
19 Czech Republic 6.852 1.269 1.487 0.920 0.457 0.046 0.036
20 United Arab Emirates 6.825 1.503 1.310 0.825 0.598 0.262 0.182
21 Malta 6.726 1.300 1.520 0.999 0.564 0.375 0.151
22 Mexico 6.595 1.070 1.323 0.861 0.433 0.074 0.073
23 France 6.592 1.324 1.472 1.045 0.436 0.111 0.183
24 Taiwan 6.446 1.368 1.430 0.914 0.351 0.242 0.097
25 Chile 6.444 1.159 1.369 0.920 0.357 0.187 0.056
26 Guatemala 6.436 0.800 1.269 0.746 0.535 0.175 0.078
27 Saudi Arabia 6.375 1.403 1.357 0.795 0.439 0.080 0.132
28 Qatar 6.374 1.684 1.313 0.871 0.555 0.220 0.167
29 Spain 6.354 1.286 1.484 1.062 0.362 0.153 0.079
30 Panama 6.321 1.149 1.442 0.910 0.516 0.109 0.054
31 Brazil 6.300 1.004 1.439 0.802 0.390 0.099 0.086
32 Uruguay 6.293 1.124 1.465 0.891 0.523 0.127 0.150
33 Singapore 6.262 1.572 1.463 1.141 0.556 0.271 0.453
34 El Salvador 6.253 0.794 1.242 0.789 0.430 0.093 0.074
35 Italy 6.223 1.294 1.488 1.039 0.231 0.158 0.030
36 Bahrain 6.199 1.362 1.368 0.871 0.536 0.255 0.110
37 Slovakia 6.198 1.246 1.504 0.881 0.334 0.121 0.014
38 Trinidad & Tobago 6.192 1.231 1.477 0.713 0.489 0.185 0.016
39 Poland 6.182 1.206 1.438 0.884 0.483 0.117 0.050
40 Uzbekistan 6.174 0.745 1.529 0.756 0.631 0.322 0.240
41 Lithuania 6.149 1.238 1.515 0.818 0.291 0.043 0.042
42 Colombia 6.125 0.985 1.410 0.841 0.470 0.099 0.034
43 Slovenia 6.118 1.258 1.523 0.953 0.564 0.144 0.057
44 Nicaragua 6.105 0.694 1.325 0.835 0.435 0.200 0.127
45 Kosovo 6.100 0.882 1.232 0.758 0.489 0.262 0.006
46 Argentina 6.086 1.092 1.432 0.881 0.471 0.066 0.050
47 Romania 6.070 1.162 1.232 0.825 0.462 0.083 0.005
48 Cyprus 6.046 1.263 1.223 1.042 0.406 0.190 0.041
49 Ecuador 6.028 0.912 1.312 0.868 0.498 0.126 0.087
50 Kuwait 6.021 1.500 1.319 0.808 0.493 0.142 0.097
51 Thailand 6.008 1.050 1.409 0.828 0.557 0.359 0.028
52 Latvia 5.940 1.187 1.465 0.812 0.264 0.075 0.064
53 South Korea 5.895 1.301 1.219 1.036 0.159 0.175 0.056
54 Estonia 5.893 1.237 1.528 0.874 0.495 0.103 0.161
55 Jamaica 5.890 0.831 1.478 0.831 0.490 0.107 0.028
56 Mauritius 5.888 1.120 1.402 0.798 0.498 0.215 0.060
57 Japan 5.886 1.327 1.419 1.088 0.445 0.069 0.140
58 Honduras 5.860 0.642 1.236 0.828 0.507 0.246 0.078
59 Kazakhstan 5.809 1.173 1.508 0.729 0.410 0.146 0.096
60 Bolivia 5.779 0.776 1.209 0.706 0.511 0.137 0.064
61 Hungary 5.758 1.201 1.410 0.828 0.199 0.081 0.020
62 Paraguay 5.743 0.855 1.475 0.777 0.514 0.184 0.080
63 Northern Cyprus 5.718 1.263 1.252 1.042 0.417 0.191 0.162
64 Peru 5.697 0.960 1.274 0.854 0.455 0.083 0.027
65 Portugal 5.693 1.221 1.431 0.999 0.508 0.047 0.025
66 Pakistan 5.653 0.677 0.886 0.535 0.313 0.220 0.098
67 Russia 5.648 1.183 1.452 0.726 0.334 0.082 0.031
68 Philippines 5.631 0.807 1.293 0.657 0.558 0.117 0.107
69 Serbia 5.603 1.004 1.383 0.854 0.282 0.137 0.039
70 Moldova 5.529 0.685 1.328 0.739 0.245 0.181 0.000
71 Libya 5.525 1.044 1.303 0.673 0.416 0.133 0.152
72 Montenegro 5.523 1.051 1.361 0.871 0.197 0.142 0.080
73 Tajikistan 5.467 0.493 1.098 0.718 0.389 0.230 0.144
74 Croatia 5.432 1.155 1.266 0.914 0.296 0.119 0.022
75 Hong Kong 5.430 1.438 1.277 1.122 0.440 0.258 0.287
76 Dominican Republic 5.425 1.015 1.401 0.779 0.497 0.113 0.101
77 Bosnia and Herzegovina 5.386 0.945 1.212 0.845 0.212 0.263 0.006
78 Turkey 5.373 1.183 1.360 0.808 0.195 0.083 0.106
79 Malaysia 5.339 1.221 1.171 0.828 0.508 0.260 0.024
80 Belarus 5.323 1.067 1.465 0.789 0.235 0.094 0.142
81 Greece 5.287 1.181 1.156 0.999 0.067 0.000 0.034
82 Mongolia 5.285 0.948 1.531 0.667 0.317 0.235 0.038
83 North Macedonia 5.274 0.983 1.294 0.838 0.345 0.185 0.034
84 Nigeria 5.265 0.696 1.111 0.245 0.426 0.215 0.041
85 Kyrgyzstan 5.261 0.551 1.438 0.723 0.508 0.300 0.023
87 Algeria 5.211 1.002 1.160 0.785 0.086 0.073 0.114
88 Morocco 5.208 0.801 0.782 0.782 0.418 0.036 0.076
89 Azerbaijan 5.208 1.043 1.147 0.769 0.351 0.035 0.182
90 Lebanon 5.197 0.987 1.224 0.815 0.216 0.166 0.027
91 Indonesia 5.192 0.931 1.203 0.660 0.491 0.498 0.028
92 China 5.191 1.029 1.125 0.893 0.521 0.058 0.100
93 Vietnam 5.175 0.741 1.346 0.851 0.543 0.147 0.073
94 Bhutan 5.082 0.813 1.321 0.604 0.457 0.370 0.167
95 Cameroon 5.044 0.549 0.910 0.331 0.381 0.187 0.037
97 Ghana 4.996 0.611 0.868 0.486 0.381 0.245 0.040
99 Nepal 4.913 0.446 1.226 0.677 0.439 0.285 0.089
100 Jordan 4.906 0.837 1.225 0.815 0.383 0.110 0.130
101 Benin 4.883 0.393 0.437 0.397 0.349 0.175 0.082
102 Congo (Brazzaville) 4.812 0.673 0.799 0.508 0.372 0.105 0.093
103 Gabon 4.799 1.057 1.183 0.571 0.295 0.043 0.055
104 Laos 4.796 0.764 1.030 0.551 0.547 0.266 0.164
105 South Africa 4.722 0.960 1.351 0.469 0.389 0.130 0.055
106 Albania 4.719 0.947 0.848 0.874 0.383 0.178 0.027
107 Venezuela 4.707 0.960 1.427 0.805 0.154 0.064 0.047
108 Cambodia 4.700 0.574 1.122 0.637 0.609 0.232 0.062
109 Palestinian Territories 4.696 0.657 1.247 0.672 0.225 0.103 0.066
110 Senegal 4.681 0.450 1.134 0.571 0.292 0.153 0.072
112 Namibia 4.639 0.879 1.313 0.477 0.401 0.070 0.056
113 Niger 4.628 0.138 0.774 0.366 0.318 0.188 0.102
114 Burkina Faso 4.587 0.331 1.056 0.380 0.255 0.177 0.113
115 Armenia 4.559 0.850 1.055 0.815 0.283 0.095 0.064
116 Iran 4.548 1.100 0.842 0.785 0.305 0.270 0.125
118 Georgia 4.519 0.886 0.666 0.752 0.346 0.043 0.164
120 Kenya 4.509 0.512 0.983 0.581 0.431 0.372 0.053
121 Mauritania 4.490 0.570 1.167 0.489 0.066 0.106 0.088
122 Mozambique 4.466 0.204 0.986 0.390 0.494 0.197 0.138
123 Tunisia 4.461 0.921 1.000 0.815 0.167 0.059 0.055
124 Bangladesh 4.456 0.562 0.928 0.723 0.527 0.166 0.143
126 Congo (Kinshasa) 4.418 0.094 1.125 0.357 0.269 0.212 0.053
127 Mali 4.390 0.385 1.105 0.308 0.327 0.153 0.052
128 Sierra Leone 4.374 0.268 0.841 0.242 0.309 0.252 0.045
129 Sri Lanka 4.366 0.949 1.265 0.831 0.470 0.244 0.047
130 Myanmar 4.360 0.710 1.181 0.555 0.525 0.566 0.172
131 Chad 4.350 0.350 0.766 0.192 0.174 0.198 0.078
132 Ukraine 4.332 0.820 1.390 0.739 0.178 0.187 0.010
133 Ethiopia 4.286 0.336 1.033 0.532 0.344 0.209 0.100
135 Uganda 4.189 0.332 1.069 0.443 0.356 0.252 0.060
136 Egypt 4.166 0.913 1.039 0.644 0.241 0.076 0.067
137 Zambia 4.107 0.578 1.058 0.426 0.431 0.247 0.087
138 Togo 4.085 0.275 0.572 0.410 0.293 0.177 0.085
139 India 4.015 0.755 0.765 0.588 0.498 0.200 0.085
140 Liberia 3.975 0.073 0.922 0.443 0.370 0.233 0.033
141 Comoros 3.973 0.274 0.757 0.505 0.142 0.275 0.078
142 Madagascar 3.933 0.274 0.916 0.555 0.148 0.169 0.041
143 Lesotho 3.802 0.489 1.169 0.168 0.359 0.107 0.093
144 Burundi 3.775 0.046 0.447 0.380 0.220 0.176 0.180
145 Zimbabwe 3.663 0.366 1.114 0.433 0.361 0.151 0.089
146 Haiti 3.597 0.323 0.688 0.449 0.026 0.419 0.110
148 Syria 3.462 0.619 0.378 0.440 0.013 0.331 0.141
149 Malawi 3.410 0.191 0.560 0.495 0.443 0.218 0.089
150 Yemen 3.380 0.287 1.163 0.463 0.143 0.108 0.077
151 Rwanda 3.334 0.359 0.711 0.614 0.555 0.217 0.411
152 Tanzania 3.231 0.476 0.885 0.499 0.417 0.276 0.147
153 Afghanistan 3.203 0.350 0.517 0.361 0.000 0.158 0.025
154 Central African Republic 3.083 0.026 0.000 0.105 0.225 0.235 0.035
155 South Sudan 2.853 0.306 0.575 0.295 0.010 0.202 0.091
# Checking if the rows containing any duplicate data or not

duplicate_rows_happiness = happiness[happiness.duplicated()]
print("number of dyplicate rows: ", duplicate_rows_happiness.shape)
number of dyplicate rows:  (0, 9)
# Find the null values.

print(happiness.isnull().sum())
Rank                        0
Country                     0
Score                       0
Economy (GDP per Capita)    0
Social Support              0
Health (Life Expectancy)    0
Freedom                     0
Generosity                  0
Perception of Corruption    0
dtype: int64
# Drop the missing values.
happiness = happiness.dropna() 
happiness.count()
Rank                        147
Country                     147
Score                       147
Economy (GDP per Capita)    147
Social Support              147
Health (Life Expectancy)    147
Freedom                     147
Generosity                  147
Perception of Corruption    147
dtype: int64
# After dropping the values

print(happiness.isnull().sum())
Rank                        0
Country                     0
Score                       0
Economy (GDP per Capita)    0
Social Support              0
Health (Life Expectancy)    0
Freedom                     0
Generosity                  0
Perception of Corruption    0
dtype: int64
# Decision Tree Regression

x = pd.DataFrame(np.c_[happiness['Economy (GDP per Capita)'], happiness['Social Support'], happiness['Health (Life Expectancy)']], 
                 columns = ['Economy (GDP per Capita)','Social Support','Health (Life Expectancy)'])
y = happiness['Score']

# split the data using train_test_split
from sklearn.model_selection import train_test_split
x_train, x_test, y_train, y_test = train_test_split(x, y, test_size = 0.2, random_state=42)

# build the model
from sklearn.tree import DecisionTreeRegressor
regressor = DecisionTreeRegressor()

# Fitting Decision Tree Regression into dataset
regressor.fit(x_train, y_train)

y_pred = regressor.predict(x_test)

# test the accuracy/performance measurement using R2
print('R2: ', regressor.score(x_test, y_test))
R2:  0.5694117211173655
df = pd.DataFrame({'Real Values':y_test, 'Predicted Values':y_pred})
df
Real Values Predicted Values
132 4.332 5.261
51 6.008 5.523
146 3.597 4.085
19 6.852 6.118
107 4.707 6.125
12 7.139 6.223
76 5.425 5.523
31 6.300 6.125
81 5.287 5.339
9 7.246 6.985
26 6.436 6.253
99 4.913 5.779
152 3.231 4.996
67 5.648 5.888
142 3.933 4.286
66 5.653 4.996
18 6.892 6.825
69 5.603 6.125
131 4.350 4.374
30 6.321 6.293
29 6.354 6.223
108 4.700 4.166
36 6.199 6.446
124 4.456 5.208
55 5.890 5.743
22 6.595 5.523
64 5.697 5.386
141 3.973 4.286
82 5.285 4.696
11 7.167 5.323
# Visualising the Decision Tree Regression Results 

X_grid = np.arange(0, 10)
X_grid = X_grid.reshape((len(X_grid), 1))
plt.scatter(y_pred, y_test)
plt.title('Decision Tree Regression')
plt.xlabel('Predicted Score')
plt.ylabel('Score')
plt.show()
from sklearn import metrics
mse = metrics.mean_squared_error(y_test, y_pred)
mse
0.5222810333333335
# k-fold cross validation of decision tree regression

from sklearn.model_selection import cross_val_score
regressor = DecisionTreeRegressor()

first_cv_scores = cross_val_score(regressor, x, y, cv=5, scoring='neg_mean_squared_error')
second_cv_scores = cross_val_score(regressor, x, y, cv=10, scoring='neg_mean_squared_error')
print('mean in first_cv_scores is {0:.2f} and in second_cv_scores is {1:.2f}'.format(np.mean
(first_cv_scores),
 np.mean
(second_cv_scores)))

# neg_mean_squared_error is better when close to 0.0
mean in first_cv_scores is -0.87 and in second_cv_scores is -0.68