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module3/exo2/exercice.ipynb
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module3/exo3/data_covid.csv 0 → 100644
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module3/exo3/exercice.ipynb
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{
"cells": [],
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Sujet 7 : Autour du SARS-CoV-2 (Covid-19)\n",
"\n",
"\n",
"## Consignes :\n",
"\n",
"### Prérequis\n",
"\n",
"Techniques de présentation graphique. Cet exercice peut être réalisé indifféremment en R ou en Python.\n",
"Sujet\n",
"\n",
"Le but est ici de reproduire des graphes semblables à ceux du South China Morning Post (SCMP), sur la page The Coronavirus Pandemic et qui montrent pour différents pays le nombre cumulé (c'est-à-dire le nombre total de cas depuis le début de l'épidémie) de personnes atteintes de la maladie à coronavirus 2019.\n",
"\n",
"Les données que nous utiliserons dans un premier temps sont compilées par le Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) et sont mises à disposition sur GitHub. C'est plus particulièrement sur les données time_series_covid19_confirmed_global.csv (des suites chronologiques au format csv) disponibles à l'adresse : https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv, que nous allons nous concentrer.\n",
"\n",
"Vous commencerez par télécharger les données pour créer un graphe montrant l’évolution du nombre de cas cumulé au cours du temps pour les pays suivants : la Belgique (Belgium), la Chine - toutes les provinces sauf Hong-Kong (China), Hong Kong (China, Hong-Kong), la France métropolitaine (France), l’Allemagne (Germany), l’Iran (Iran), l’Italie (Italy), le Japon (Japan), la Corée du Sud (Korea, South), la Hollande sans les colonies (Netherlands), le Portugal (Portugal), l’Espagne (Spain), le Royaume-Unis sans les colonies (United Kingdom), les États-Unis (US).\n",
"\n",
"Le nom entre parenthèses est le nom du « pays » tel qu’il apparaît dans le fichier time_series_covid19_confirmed_global.csv. Les données de la Chine apparaissent par province et nous avons séparé Hong-Kong, non pour prendre parti dans les différences entre cette province et l'état chinois, mais parce que c'est ainsi qu'apparaissent les données sur le site du SCMP. Les données pour la France, la Hollande et le Royaume-Uni excluent les territoires d'outre-mer et autres « résidus coloniaux ».\n",
"\n",
"Ensuite vous ferez un graphe avec la date en abscisse et le nombre cumulé de cas à cette date en ordonnée. Nous vous proposons de faire deux versions de ce graphe, une avec une échelle linéaire et une avec une échelle logarithmique.\n",
"\n",
"### Question subsidiaire à faire quand on sera sorti du « merdier »\n",
"\n",
"Vous pourrez également utiliser les données de décès (timeseriescovid19deathsglobal.csv) et refaire les courbes, mais là encore, faites attention lors de l'interprétation. Ces courbes, même si elles paraissent effrayantes, doivent être comparées à la mortalité « normale ». Pour la France des données sont disponibles sur le site de l'INSEE : https://www.insee.fr/fr/information/4470857, ainsi que dans les « Points hebdomadaires » de surveillance de la mortalité diffusés par Santé publique France, comme celui de la semaine 12 (le site étant très mal conçu pour quiconque souhaite une information spécifique, le plus simple est de passer par un moteur de recherche généraliste…).\n",
"\n",
"Pour atténuer les effets dus aux méthodes de comptage, etc., vous pourrez, une fois l'épidémie terminée, prendre les données du nombre total de décès et les normaliser pour 1000 habitants du pays concerné. Vous irez ensuite chercher les données sur le nombre de lits d'hôpital pour 1000 habitants sur le site de l'OCDE et vous pourrez corréler les deux (c'est-à-dire, faire un graphe avec le nombre de lits en abscisse et le nombre de décès en ordonnée)…\n",
"\n",
"---\n",
"\n",
"# Pour commencer\n",
"\n",
"Nous allons tout d'abord importer les outils necéssaires pour réaliser ce travail.\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"\n",
"import os\n",
"import urllib.request\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"import isoweek"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Nous pouvons maintenant télécharger les [données](https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv)."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"data_url = \"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv\"\n",
"\n",
"data_file = \"data_covid.csv\"\n",
"\n",
"if not os.path.exists(data_file):\n",
" urllib.request.urlretrieve(data_url, data_file)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
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" <td>8519</td>\n",
" <td>8573</td>\n",
" <td>8573</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>NaN</td>\n",
" <td>Bahrain</td>\n",
" <td>26.027500</td>\n",
" <td>50.550000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>119205</td>\n",
" <td>119858</td>\n",
" <td>120495</td>\n",
" <td>121127</td>\n",
" <td>121778</td>\n",
" <td>122394</td>\n",
" <td>123039</td>\n",
" <td>123531</td>\n",
" <td>124269</td>\n",
" <td>124857</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>NaN</td>\n",
" <td>Bangladesh</td>\n",
" <td>23.685000</td>\n",
" <td>90.356300</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>544116</td>\n",
" <td>544544</td>\n",
" <td>544954</td>\n",
" <td>545424</td>\n",
" <td>545831</td>\n",
" <td>546216</td>\n",
" <td>546801</td>\n",
" <td>547316</td>\n",
" <td>547930</td>\n",
" <td>548549</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>NaN</td>\n",
" <td>Barbados</td>\n",
" <td>13.193900</td>\n",
" <td>-59.543200</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>2852</td>\n",
" <td>2907</td>\n",
" <td>2949</td>\n",
" <td>2994</td>\n",
" <td>3038</td>\n",
" <td>3068</td>\n",
" <td>3115</td>\n",
" <td>3140</td>\n",
" <td>3163</td>\n",
" <td>3186</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>NaN</td>\n",
" <td>Belarus</td>\n",
" <td>53.709800</td>\n",
" <td>27.953400</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>280428</td>\n",
" <td>281707</td>\n",
" <td>282898</td>\n",
" <td>284500</td>\n",
" <td>285959</td>\n",
" <td>287306</td>\n",
" <td>288267</td>\n",
" <td>289136</td>\n",
" <td>290447</td>\n",
" <td>291621</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>NaN</td>\n",
" <td>Belgium</td>\n",
" <td>50.833300</td>\n",
" <td>4.469936</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>757696</td>\n",
" <td>760809</td>\n",
" <td>763885</td>\n",
" <td>766654</td>\n",
" <td>769414</td>\n",
" <td>771511</td>\n",
" <td>772294</td>\n",
" <td>774344</td>\n",
" <td>777608</td>\n",
" <td>780251</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>NaN</td>\n",
" <td>Belize</td>\n",
" <td>17.189900</td>\n",
" <td>-88.497600</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>12264</td>\n",
" <td>12271</td>\n",
" <td>12280</td>\n",
" <td>12293</td>\n",
" <td>12293</td>\n",
" <td>12293</td>\n",
" <td>12313</td>\n",
" <td>12320</td>\n",
" <td>12328</td>\n",
" <td>12329</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>NaN</td>\n",
" <td>Benin</td>\n",
" <td>9.307700</td>\n",
" <td>2.315800</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>5434</td>\n",
" <td>5434</td>\n",
" <td>5434</td>\n",
" <td>5434</td>\n",
" <td>5434</td>\n",
" <td>5434</td>\n",
" <td>5434</td>\n",
" <td>5434</td>\n",
" <td>6071</td>\n",
" <td>6071</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>NaN</td>\n",
" <td>Bhutan</td>\n",
" <td>27.514200</td>\n",
" <td>90.433600</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>867</td>\n",
" <td>867</td>\n",
" <td>867</td>\n",
" <td>867</td>\n",
" <td>867</td>\n",
" <td>867</td>\n",
" <td>867</td>\n",
" <td>867</td>\n",
" <td>867</td>\n",
" <td>867</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>NaN</td>\n",
" <td>Bolivia</td>\n",
" <td>-16.290200</td>\n",
" <td>-63.588700</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>244380</td>\n",
" <td>245719</td>\n",
" <td>246822</td>\n",
" <td>247891</td>\n",
" <td>248547</td>\n",
" <td>249010</td>\n",
" <td>249767</td>\n",
" <td>250557</td>\n",
" <td>251391</td>\n",
" <td>252360</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>NaN</td>\n",
" <td>Bosnia and Herzegovina</td>\n",
" <td>43.915900</td>\n",
" <td>17.679100</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>129176</td>\n",
" <td>129753</td>\n",
" <td>130510</td>\n",
" <td>130979</td>\n",
" <td>130979</td>\n",
" <td>130979</td>\n",
" <td>130979</td>\n",
" <td>133088</td>\n",
" <td>133982</td>\n",
" <td>134892</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>NaN</td>\n",
" <td>Botswana</td>\n",
" <td>-22.328500</td>\n",
" <td>24.684900</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>27721</td>\n",
" <td>27721</td>\n",
" <td>28371</td>\n",
" <td>28371</td>\n",
" <td>28371</td>\n",
" <td>28371</td>\n",
" <td>30727</td>\n",
" <td>30727</td>\n",
" <td>30727</td>\n",
" <td>31746</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>244</th>\n",
" <td>NaN</td>\n",
" <td>Timor-Leste</td>\n",
" <td>-8.874217</td>\n",
" <td>125.727539</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>107</td>\n",
" <td>109</td>\n",
" <td>110</td>\n",
" <td>110</td>\n",
" <td>111</td>\n",
" <td>113</td>\n",
" <td>113</td>\n",
" <td>113</td>\n",
" <td>113</td>\n",
" <td>113</td>\n",
" </tr>\n",
" <tr>\n",
" <th>245</th>\n",
" <td>NaN</td>\n",
" <td>Togo</td>\n",
" <td>8.619500</td>\n",
" <td>0.824800</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>6466</td>\n",
" <td>6548</td>\n",
" <td>6637</td>\n",
" <td>6730</td>\n",
" <td>6851</td>\n",
" <td>6901</td>\n",
" <td>6933</td>\n",
" <td>7086</td>\n",
" <td>7188</td>\n",
" <td>7323</td>\n",
" </tr>\n",
" <tr>\n",
" <th>246</th>\n",
" <td>NaN</td>\n",
" <td>Trinidad and Tobago</td>\n",
" <td>10.691800</td>\n",
" <td>-61.222500</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>7686</td>\n",
" <td>7690</td>\n",
" <td>7697</td>\n",
" <td>7704</td>\n",
" <td>7705</td>\n",
" <td>7713</td>\n",
" <td>7716</td>\n",
" <td>7717</td>\n",
" <td>7723</td>\n",
" <td>7727</td>\n",
" </tr>\n",
" <tr>\n",
" <th>247</th>\n",
" <td>NaN</td>\n",
" <td>Tunisia</td>\n",
" <td>33.886917</td>\n",
" <td>9.537499</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>229781</td>\n",
" <td>230443</td>\n",
" <td>231298</td>\n",
" <td>231964</td>\n",
" <td>232615</td>\n",
" <td>233277</td>\n",
" <td>233669</td>\n",
" <td>234231</td>\n",
" <td>235008</td>\n",
" <td>235643</td>\n",
" </tr>\n",
" <tr>\n",
" <th>248</th>\n",
" <td>NaN</td>\n",
" <td>Turkey</td>\n",
" <td>38.963700</td>\n",
" <td>35.243300</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>2655633</td>\n",
" <td>2665194</td>\n",
" <td>2674766</td>\n",
" <td>2683971</td>\n",
" <td>2693164</td>\n",
" <td>2701588</td>\n",
" <td>2711479</td>\n",
" <td>2723316</td>\n",
" <td>2734836</td>\n",
" <td>2746158</td>\n",
" </tr>\n",
" <tr>\n",
" <th>249</th>\n",
" <td>NaN</td>\n",
" <td>US</td>\n",
" <td>40.000000</td>\n",
" <td>-100.000000</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>5</td>\n",
" <td>5</td>\n",
" <td>...</td>\n",
" <td>28234656</td>\n",
" <td>28309085</td>\n",
" <td>28386492</td>\n",
" <td>28463190</td>\n",
" <td>28527344</td>\n",
" <td>28578548</td>\n",
" <td>28637313</td>\n",
" <td>28694071</td>\n",
" <td>28759980</td>\n",
" <td>28827144</td>\n",
" </tr>\n",
" <tr>\n",
" <th>250</th>\n",
" <td>NaN</td>\n",
" <td>Uganda</td>\n",
" <td>1.373333</td>\n",
" <td>32.290275</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>40243</td>\n",
" <td>40261</td>\n",
" <td>40300</td>\n",
" <td>40322</td>\n",
" <td>40335</td>\n",
" <td>40357</td>\n",
" <td>40367</td>\n",
" <td>40395</td>\n",
" <td>40408</td>\n",
" <td>40426</td>\n",
" </tr>\n",
" <tr>\n",
" <th>251</th>\n",
" <td>NaN</td>\n",
" <td>Ukraine</td>\n",
" <td>48.379400</td>\n",
" <td>31.165600</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>1358871</td>\n",
" <td>1364861</td>\n",
" <td>1373139</td>\n",
" <td>1381273</td>\n",
" <td>1389570</td>\n",
" <td>1395528</td>\n",
" <td>1399934</td>\n",
" <td>1405394</td>\n",
" <td>1412748</td>\n",
" <td>1422927</td>\n",
" </tr>\n",
" <tr>\n",
" <th>252</th>\n",
" <td>NaN</td>\n",
" <td>United Arab Emirates</td>\n",
" <td>23.424076</td>\n",
" <td>53.847818</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>375535</td>\n",
" <td>378637</td>\n",
" <td>381662</td>\n",
" <td>385160</td>\n",
" <td>388594</td>\n",
" <td>391524</td>\n",
" <td>394050</td>\n",
" <td>396771</td>\n",
" <td>399463</td>\n",
" <td>402205</td>\n",
" </tr>\n",
" <tr>\n",
" <th>253</th>\n",
" <td>Anguilla</td>\n",
" <td>United Kingdom</td>\n",
" <td>18.220600</td>\n",
" <td>-63.068600</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" <td>18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>254</th>\n",
" <td>Bermuda</td>\n",
" <td>United Kingdom</td>\n",
" <td>32.307800</td>\n",
" <td>-64.750500</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>703</td>\n",
" <td>703</td>\n",
" <td>705</td>\n",
" <td>705</td>\n",
" <td>705</td>\n",
" <td>705</td>\n",
" <td>707</td>\n",
" <td>713</td>\n",
" <td>713</td>\n",
" <td>718</td>\n",
" </tr>\n",
" <tr>\n",
" <th>255</th>\n",
" <td>British Virgin Islands</td>\n",
" <td>United Kingdom</td>\n",
" <td>18.420700</td>\n",
" <td>-64.640000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>114</td>\n",
" <td>114</td>\n",
" <td>114</td>\n",
" <td>153</td>\n",
" <td>153</td>\n",
" <td>153</td>\n",
" <td>153</td>\n",
" <td>153</td>\n",
" <td>153</td>\n",
" <td>153</td>\n",
" </tr>\n",
" <tr>\n",
" <th>256</th>\n",
" <td>Cayman Islands</td>\n",
" <td>United Kingdom</td>\n",
" <td>19.313300</td>\n",
" <td>-81.254600</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>431</td>\n",
" <td>431</td>\n",
" <td>438</td>\n",
" <td>444</td>\n",
" <td>444</td>\n",
" <td>444</td>\n",
" <td>447</td>\n",
" <td>447</td>\n",
" <td>447</td>\n",
" <td>448</td>\n",
" </tr>\n",
" <tr>\n",
" <th>257</th>\n",
" <td>Channel Islands</td>\n",
" <td>United Kingdom</td>\n",
" <td>49.372300</td>\n",
" <td>-2.364400</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>4030</td>\n",
" <td>4031</td>\n",
" <td>4032</td>\n",
" <td>4033</td>\n",
" <td>4034</td>\n",
" <td>4038</td>\n",
" <td>4038</td>\n",
" <td>4039</td>\n",
" <td>4040</td>\n",
" <td>4041</td>\n",
" </tr>\n",
" <tr>\n",
" <th>258</th>\n",
" <td>Falkland Islands (Malvinas)</td>\n",
" <td>United Kingdom</td>\n",
" <td>-51.796300</td>\n",
" <td>-59.523600</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>54</td>\n",
" <td>54</td>\n",
" <td>54</td>\n",
" <td>54</td>\n",
" <td>54</td>\n",
" <td>54</td>\n",
" <td>54</td>\n",
" <td>54</td>\n",
" <td>54</td>\n",
" <td>54</td>\n",
" </tr>\n",
" <tr>\n",
" <th>259</th>\n",
" <td>Gibraltar</td>\n",
" <td>United Kingdom</td>\n",
" <td>36.140800</td>\n",
" <td>-5.353600</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>4234</td>\n",
" <td>4234</td>\n",
" <td>4235</td>\n",
" <td>4236</td>\n",
" <td>4238</td>\n",
" <td>4239</td>\n",
" <td>4239</td>\n",
" <td>4243</td>\n",
" <td>4243</td>\n",
" <td>4243</td>\n",
" </tr>\n",
" <tr>\n",
" <th>260</th>\n",
" <td>Isle of Man</td>\n",
" <td>United Kingdom</td>\n",
" <td>54.236100</td>\n",
" <td>-4.548100</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>462</td>\n",
" <td>470</td>\n",
" <td>475</td>\n",
" <td>475</td>\n",
" <td>484</td>\n",
" <td>484</td>\n",
" <td>486</td>\n",
" <td>494</td>\n",
" <td>511</td>\n",
" <td>546</td>\n",
" </tr>\n",
" <tr>\n",
" <th>261</th>\n",
" <td>Montserrat</td>\n",
" <td>United Kingdom</td>\n",
" <td>16.742498</td>\n",
" <td>-62.187366</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>20</td>\n",
" <td>20</td>\n",
" <td>20</td>\n",
" <td>20</td>\n",
" <td>20</td>\n",
" <td>20</td>\n",
" <td>20</td>\n",
" <td>20</td>\n",
" <td>20</td>\n",
" <td>20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>262</th>\n",
" <td>Saint Helena, Ascension and Tristan da Cunha</td>\n",
" <td>United Kingdom</td>\n",
" <td>-7.946700</td>\n",
" <td>-14.355900</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>263</th>\n",
" <td>Turks and Caicos Islands</td>\n",
" <td>United Kingdom</td>\n",
" <td>21.694000</td>\n",
" <td>-71.797900</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>2051</td>\n",
" <td>2051</td>\n",
" <td>2070</td>\n",
" <td>2088</td>\n",
" <td>2099</td>\n",
" <td>2114</td>\n",
" <td>2114</td>\n",
" <td>2115</td>\n",
" <td>2132</td>\n",
" <td>2161</td>\n",
" </tr>\n",
" <tr>\n",
" <th>264</th>\n",
" <td>NaN</td>\n",
" <td>United Kingdom</td>\n",
" <td>55.378100</td>\n",
" <td>-3.436000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>4134639</td>\n",
" <td>4144577</td>\n",
" <td>4154562</td>\n",
" <td>4163085</td>\n",
" <td>4170519</td>\n",
" <td>4176554</td>\n",
" <td>4182009</td>\n",
" <td>4188400</td>\n",
" <td>4194785</td>\n",
" <td>4201358</td>\n",
" </tr>\n",
" <tr>\n",
" <th>265</th>\n",
" <td>NaN</td>\n",
" <td>Uruguay</td>\n",
" <td>-32.522800</td>\n",
" <td>-55.765800</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>53973</td>\n",
" <td>54874</td>\n",
" <td>55695</td>\n",
" <td>56542</td>\n",
" <td>57362</td>\n",
" <td>57994</td>\n",
" <td>58589</td>\n",
" <td>59171</td>\n",
" <td>60074</td>\n",
" <td>60945</td>\n",
" </tr>\n",
" <tr>\n",
" <th>266</th>\n",
" <td>NaN</td>\n",
" <td>Uzbekistan</td>\n",
" <td>41.377491</td>\n",
" <td>64.585262</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>79717</td>\n",
" <td>79749</td>\n",
" <td>79773</td>\n",
" <td>79804</td>\n",
" <td>79836</td>\n",
" <td>79926</td>\n",
" <td>79926</td>\n",
" <td>79961</td>\n",
" <td>80035</td>\n",
" <td>80035</td>\n",
" </tr>\n",
" <tr>\n",
" <th>267</th>\n",
" <td>NaN</td>\n",
" <td>Vanuatu</td>\n",
" <td>-15.376700</td>\n",
" <td>166.959200</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>268</th>\n",
" <td>NaN</td>\n",
" <td>Venezuela</td>\n",
" <td>6.423800</td>\n",
" <td>-66.589700</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>136986</td>\n",
" <td>137445</td>\n",
" <td>137871</td>\n",
" <td>138295</td>\n",
" <td>138739</td>\n",
" <td>139116</td>\n",
" <td>139545</td>\n",
" <td>139934</td>\n",
" <td>140383</td>\n",
" <td>140960</td>\n",
" </tr>\n",
" <tr>\n",
" <th>269</th>\n",
" <td>NaN</td>\n",
" <td>Vietnam</td>\n",
" <td>14.058324</td>\n",
" <td>108.277199</td>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>...</td>\n",
" <td>2403</td>\n",
" <td>2412</td>\n",
" <td>2421</td>\n",
" <td>2426</td>\n",
" <td>2432</td>\n",
" <td>2448</td>\n",
" <td>2448</td>\n",
" <td>2475</td>\n",
" <td>2482</td>\n",
" <td>2488</td>\n",
" </tr>\n",
" <tr>\n",
" <th>270</th>\n",
" <td>NaN</td>\n",
" <td>West Bank and Gaza</td>\n",
" <td>31.952200</td>\n",
" <td>35.233200</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>176377</td>\n",
" <td>177768</td>\n",
" <td>179293</td>\n",
" <td>180848</td>\n",
" <td>181909</td>\n",
" <td>183612</td>\n",
" <td>185336</td>\n",
" <td>187309</td>\n",
" <td>189326</td>\n",
" <td>191203</td>\n",
" </tr>\n",
" <tr>\n",
" <th>271</th>\n",
" <td>NaN</td>\n",
" <td>Yemen</td>\n",
" <td>15.552727</td>\n",
" <td>48.516388</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>2187</td>\n",
" <td>2221</td>\n",
" <td>2255</td>\n",
" <td>2267</td>\n",
" <td>2269</td>\n",
" <td>2285</td>\n",
" <td>2310</td>\n",
" <td>2342</td>\n",
" <td>2363</td>\n",
" <td>2375</td>\n",
" </tr>\n",
" <tr>\n",
" <th>272</th>\n",
" <td>NaN</td>\n",
" <td>Zambia</td>\n",
" <td>-13.133897</td>\n",
" <td>27.849332</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>75582</td>\n",
" <td>76484</td>\n",
" <td>77171</td>\n",
" <td>77639</td>\n",
" <td>78202</td>\n",
" <td>78534</td>\n",
" <td>79002</td>\n",
" <td>79557</td>\n",
" <td>80090</td>\n",
" <td>80687</td>\n",
" </tr>\n",
" <tr>\n",
" <th>273</th>\n",
" <td>NaN</td>\n",
" <td>Zimbabwe</td>\n",
" <td>-19.015438</td>\n",
" <td>29.154857</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>...</td>\n",
" <td>35910</td>\n",
" <td>35960</td>\n",
" <td>35994</td>\n",
" <td>36044</td>\n",
" <td>36058</td>\n",
" <td>36089</td>\n",
" <td>36115</td>\n",
" <td>36148</td>\n",
" <td>36179</td>\n",
" <td>36223</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>274 rows × 412 columns</p>\n",
"</div>"
],
"text/plain": [
" Province/State Country/Region \\\n",
"0 NaN Afghanistan \n",
"1 NaN Albania \n",
"2 NaN Algeria \n",
"3 NaN Andorra \n",
"4 NaN Angola \n",
"5 NaN Antigua and Barbuda \n",
"6 NaN Argentina \n",
"7 NaN Armenia \n",
"8 Australian Capital Territory Australia \n",
"9 New South Wales Australia \n",
"10 Northern Territory Australia \n",
"11 Queensland Australia \n",
"12 South Australia Australia \n",
"13 Tasmania Australia \n",
"14 Victoria Australia \n",
"15 Western Australia Australia \n",
"16 NaN Austria \n",
"17 NaN Azerbaijan \n",
"18 NaN Bahamas \n",
"19 NaN Bahrain \n",
"20 NaN Bangladesh \n",
"21 NaN Barbados \n",
"22 NaN Belarus \n",
"23 NaN Belgium \n",
"24 NaN Belize \n",
"25 NaN Benin \n",
"26 NaN Bhutan \n",
"27 NaN Bolivia \n",
"28 NaN Bosnia and Herzegovina \n",
"29 NaN Botswana \n",
".. ... ... \n",
"244 NaN Timor-Leste \n",
"245 NaN Togo \n",
"246 NaN Trinidad and Tobago \n",
"247 NaN Tunisia \n",
"248 NaN Turkey \n",
"249 NaN US \n",
"250 NaN Uganda \n",
"251 NaN Ukraine \n",
"252 NaN United Arab Emirates \n",
"253 Anguilla United Kingdom \n",
"254 Bermuda United Kingdom \n",
"255 British Virgin Islands United Kingdom \n",
"256 Cayman Islands United Kingdom \n",
"257 Channel Islands United Kingdom \n",
"258 Falkland Islands (Malvinas) United Kingdom \n",
"259 Gibraltar United Kingdom \n",
"260 Isle of Man United Kingdom \n",
"261 Montserrat United Kingdom \n",
"262 Saint Helena, Ascension and Tristan da Cunha United Kingdom \n",
"263 Turks and Caicos Islands United Kingdom \n",
"264 NaN United Kingdom \n",
"265 NaN Uruguay \n",
"266 NaN Uzbekistan \n",
"267 NaN Vanuatu \n",
"268 NaN Venezuela \n",
"269 NaN Vietnam \n",
"270 NaN West Bank and Gaza \n",
"271 NaN Yemen \n",
"272 NaN Zambia \n",
"273 NaN Zimbabwe \n",
"\n",
" Lat Long 1/22/20 1/23/20 1/24/20 1/25/20 1/26/20 \\\n",
"0 33.939110 67.709953 0 0 0 0 0 \n",
"1 41.153300 20.168300 0 0 0 0 0 \n",
"2 28.033900 1.659600 0 0 0 0 0 \n",
"3 42.506300 1.521800 0 0 0 0 0 \n",
"4 -11.202700 17.873900 0 0 0 0 0 \n",
"5 17.060800 -61.796400 0 0 0 0 0 \n",
"6 -38.416100 -63.616700 0 0 0 0 0 \n",
"7 40.069100 45.038200 0 0 0 0 0 \n",
"8 -35.473500 149.012400 0 0 0 0 0 \n",
"9 -33.868800 151.209300 0 0 0 0 3 \n",
"10 -12.463400 130.845600 0 0 0 0 0 \n",
"11 -27.469800 153.025100 0 0 0 0 0 \n",
"12 -34.928500 138.600700 0 0 0 0 0 \n",
"13 -42.882100 147.327200 0 0 0 0 0 \n",
"14 -37.813600 144.963100 0 0 0 0 1 \n",
"15 -31.950500 115.860500 0 0 0 0 0 \n",
"16 47.516200 14.550100 0 0 0 0 0 \n",
"17 40.143100 47.576900 0 0 0 0 0 \n",
"18 25.025885 -78.035889 0 0 0 0 0 \n",
"19 26.027500 50.550000 0 0 0 0 0 \n",
"20 23.685000 90.356300 0 0 0 0 0 \n",
"21 13.193900 -59.543200 0 0 0 0 0 \n",
"22 53.709800 27.953400 0 0 0 0 0 \n",
"23 50.833300 4.469936 0 0 0 0 0 \n",
"24 17.189900 -88.497600 0 0 0 0 0 \n",
"25 9.307700 2.315800 0 0 0 0 0 \n",
"26 27.514200 90.433600 0 0 0 0 0 \n",
"27 -16.290200 -63.588700 0 0 0 0 0 \n",
"28 43.915900 17.679100 0 0 0 0 0 \n",
"29 -22.328500 24.684900 0 0 0 0 0 \n",
".. ... ... ... ... ... ... ... \n",
"244 -8.874217 125.727539 0 0 0 0 0 \n",
"245 8.619500 0.824800 0 0 0 0 0 \n",
"246 10.691800 -61.222500 0 0 0 0 0 \n",
"247 33.886917 9.537499 0 0 0 0 0 \n",
"248 38.963700 35.243300 0 0 0 0 0 \n",
"249 40.000000 -100.000000 1 1 2 2 5 \n",
"250 1.373333 32.290275 0 0 0 0 0 \n",
"251 48.379400 31.165600 0 0 0 0 0 \n",
"252 23.424076 53.847818 0 0 0 0 0 \n",
"253 18.220600 -63.068600 0 0 0 0 0 \n",
"254 32.307800 -64.750500 0 0 0 0 0 \n",
"255 18.420700 -64.640000 0 0 0 0 0 \n",
"256 19.313300 -81.254600 0 0 0 0 0 \n",
"257 49.372300 -2.364400 0 0 0 0 0 \n",
"258 -51.796300 -59.523600 0 0 0 0 0 \n",
"259 36.140800 -5.353600 0 0 0 0 0 \n",
"260 54.236100 -4.548100 0 0 0 0 0 \n",
"261 16.742498 -62.187366 0 0 0 0 0 \n",
"262 -7.946700 -14.355900 0 0 0 0 0 \n",
"263 21.694000 -71.797900 0 0 0 0 0 \n",
"264 55.378100 -3.436000 0 0 0 0 0 \n",
"265 -32.522800 -55.765800 0 0 0 0 0 \n",
"266 41.377491 64.585262 0 0 0 0 0 \n",
"267 -15.376700 166.959200 0 0 0 0 0 \n",
"268 6.423800 -66.589700 0 0 0 0 0 \n",
"269 14.058324 108.277199 0 2 2 2 2 \n",
"270 31.952200 35.233200 0 0 0 0 0 \n",
"271 15.552727 48.516388 0 0 0 0 0 \n",
"272 -13.133897 27.849332 0 0 0 0 0 \n",
"273 -19.015438 29.154857 0 0 0 0 0 \n",
"\n",
" 1/27/20 ... 2/23/21 2/24/21 2/25/21 2/26/21 2/27/21 \\\n",
"0 0 ... 55646 55664 55680 55696 55707 \n",
"1 0 ... 102306 103327 104313 105229 106215 \n",
"2 0 ... 112279 112461 112622 112805 112960 \n",
"3 0 ... 10739 10775 10799 10822 10849 \n",
"4 0 ... 20584 20640 20695 20759 20782 \n",
"5 0 ... 636 646 701 701 726 \n",
"6 0 ... 2077228 2085411 2093645 2098728 2104197 \n",
"7 0 ... 170672 170945 171227 171510 171793 \n",
"8 0 ... 118 118 118 118 118 \n",
"9 4 ... 5155 5162 5166 5172 5177 \n",
"10 0 ... 104 104 104 105 105 \n",
"11 0 ... 1323 1324 1328 1329 1329 \n",
"12 0 ... 613 613 613 613 613 \n",
"13 0 ... 234 234 234 234 234 \n",
"14 1 ... 20479 20479 20481 20481 20481 \n",
"15 0 ... 913 913 913 913 913 \n",
"16 0 ... 448371 450376 452767 454860 457317 \n",
"17 0 ... 233424 233644 233770 233989 234267 \n",
"18 0 ... 8477 8496 8496 8519 8519 \n",
"19 0 ... 119205 119858 120495 121127 121778 \n",
"20 0 ... 544116 544544 544954 545424 545831 \n",
"21 0 ... 2852 2907 2949 2994 3038 \n",
"22 0 ... 280428 281707 282898 284500 285959 \n",
"23 0 ... 757696 760809 763885 766654 769414 \n",
"24 0 ... 12264 12271 12280 12293 12293 \n",
"25 0 ... 5434 5434 5434 5434 5434 \n",
"26 0 ... 867 867 867 867 867 \n",
"27 0 ... 244380 245719 246822 247891 248547 \n",
"28 0 ... 129176 129753 130510 130979 130979 \n",
"29 0 ... 27721 27721 28371 28371 28371 \n",
".. ... ... ... ... ... ... ... \n",
"244 0 ... 107 109 110 110 111 \n",
"245 0 ... 6466 6548 6637 6730 6851 \n",
"246 0 ... 7686 7690 7697 7704 7705 \n",
"247 0 ... 229781 230443 231298 231964 232615 \n",
"248 0 ... 2655633 2665194 2674766 2683971 2693164 \n",
"249 5 ... 28234656 28309085 28386492 28463190 28527344 \n",
"250 0 ... 40243 40261 40300 40322 40335 \n",
"251 0 ... 1358871 1364861 1373139 1381273 1389570 \n",
"252 0 ... 375535 378637 381662 385160 388594 \n",
"253 0 ... 18 18 18 18 18 \n",
"254 0 ... 703 703 705 705 705 \n",
"255 0 ... 114 114 114 153 153 \n",
"256 0 ... 431 431 438 444 444 \n",
"257 0 ... 4030 4031 4032 4033 4034 \n",
"258 0 ... 54 54 54 54 54 \n",
"259 0 ... 4234 4234 4235 4236 4238 \n",
"260 0 ... 462 470 475 475 484 \n",
"261 0 ... 20 20 20 20 20 \n",
"262 0 ... 4 4 4 4 4 \n",
"263 0 ... 2051 2051 2070 2088 2099 \n",
"264 0 ... 4134639 4144577 4154562 4163085 4170519 \n",
"265 0 ... 53973 54874 55695 56542 57362 \n",
"266 0 ... 79717 79749 79773 79804 79836 \n",
"267 0 ... 1 1 1 1 1 \n",
"268 0 ... 136986 137445 137871 138295 138739 \n",
"269 2 ... 2403 2412 2421 2426 2432 \n",
"270 0 ... 176377 177768 179293 180848 181909 \n",
"271 0 ... 2187 2221 2255 2267 2269 \n",
"272 0 ... 75582 76484 77171 77639 78202 \n",
"273 0 ... 35910 35960 35994 36044 36058 \n",
"\n",
" 2/28/21 3/1/21 3/2/21 3/3/21 3/4/21 \n",
"0 55714 55733 55759 55770 55775 \n",
"1 107167 107931 108823 109674 110521 \n",
"2 113092 113255 113430 113593 113761 \n",
"3 10866 10889 10908 10948 10976 \n",
"4 20807 20854 20882 20923 20981 \n",
"5 730 769 769 769 813 \n",
"6 2107365 2112023 2118676 2126531 2133963 \n",
"7 172058 172216 172456 172816 173307 \n",
"8 118 118 120 120 120 \n",
"9 5180 5183 5189 5193 5205 \n",
"10 105 105 105 105 105 \n",
"11 1331 1335 1335 1342 1344 \n",
"12 616 617 618 618 618 \n",
"13 234 234 234 234 234 \n",
"14 20481 20481 20481 20481 20481 \n",
"15 913 913 914 914 914 \n",
"16 459440 460849 462769 465322 467646 \n",
"17 234537 234662 235014 235333 235647 \n",
"18 8519 8519 8519 8573 8573 \n",
"19 122394 123039 123531 124269 124857 \n",
"20 546216 546801 547316 547930 548549 \n",
"21 3068 3115 3140 3163 3186 \n",
"22 287306 288267 289136 290447 291621 \n",
"23 771511 772294 774344 777608 780251 \n",
"24 12293 12313 12320 12328 12329 \n",
"25 5434 5434 5434 6071 6071 \n",
"26 867 867 867 867 867 \n",
"27 249010 249767 250557 251391 252360 \n",
"28 130979 130979 133088 133982 134892 \n",
"29 28371 30727 30727 30727 31746 \n",
".. ... ... ... ... ... \n",
"244 113 113 113 113 113 \n",
"245 6901 6933 7086 7188 7323 \n",
"246 7713 7716 7717 7723 7727 \n",
"247 233277 233669 234231 235008 235643 \n",
"248 2701588 2711479 2723316 2734836 2746158 \n",
"249 28578548 28637313 28694071 28759980 28827144 \n",
"250 40357 40367 40395 40408 40426 \n",
"251 1395528 1399934 1405394 1412748 1422927 \n",
"252 391524 394050 396771 399463 402205 \n",
"253 18 18 18 18 18 \n",
"254 705 707 713 713 718 \n",
"255 153 153 153 153 153 \n",
"256 444 447 447 447 448 \n",
"257 4038 4038 4039 4040 4041 \n",
"258 54 54 54 54 54 \n",
"259 4239 4239 4243 4243 4243 \n",
"260 484 486 494 511 546 \n",
"261 20 20 20 20 20 \n",
"262 4 4 4 4 4 \n",
"263 2114 2114 2115 2132 2161 \n",
"264 4176554 4182009 4188400 4194785 4201358 \n",
"265 57994 58589 59171 60074 60945 \n",
"266 79926 79926 79961 80035 80035 \n",
"267 1 1 1 1 1 \n",
"268 139116 139545 139934 140383 140960 \n",
"269 2448 2448 2475 2482 2488 \n",
"270 183612 185336 187309 189326 191203 \n",
"271 2285 2310 2342 2363 2375 \n",
"272 78534 79002 79557 80090 80687 \n",
"273 36089 36115 36148 36179 36223 \n",
"\n",
"[274 rows x 412 columns]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"raw_data = pd.read_csv(data_file)\n",
"raw_data"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
......@@ -16,10 +1884,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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