diff --git a/module3/exo3/exercice_sarscov.ipynb b/module3/exo3/exercice_sarscov.ipynb
index c5869ee0c910801361af5661821ada8f8a4f48ec..cd46ffa735ff707039c556586b02795ae0fd83f9 100644
--- a/module3/exo3/exercice_sarscov.ipynb
+++ b/module3/exo3/exercice_sarscov.ipynb
@@ -15,7 +15,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Téléchargement des données\n",
+    "## Téléchargement et traitement des données\n",
     "\n",
     "Les données relevées sont stockées dans un fichier. Celles-ci sont à la date du 22 juin 2021."
    ]
@@ -49,405 +49,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "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>Province/State</th>\n",
-       "      <th>Country/Region</th>\n",
-       "      <th>Lat</th>\n",
-       "      <th>Long</th>\n",
-       "      <th>1/22/20</th>\n",
-       "      <th>1/23/20</th>\n",
-       "      <th>1/24/20</th>\n",
-       "      <th>1/25/20</th>\n",
-       "      <th>1/26/20</th>\n",
-       "      <th>1/27/20</th>\n",
-       "      <th>...</th>\n",
-       "      <th>6/12/21</th>\n",
-       "      <th>6/13/21</th>\n",
-       "      <th>6/14/21</th>\n",
-       "      <th>6/15/21</th>\n",
-       "      <th>6/16/21</th>\n",
-       "      <th>6/17/21</th>\n",
-       "      <th>6/18/21</th>\n",
-       "      <th>6/19/21</th>\n",
-       "      <th>6/20/21</th>\n",
-       "      <th>6/21/21</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>119</th>\n",
-       "      <td>French Guiana</td>\n",
-       "      <td>France</td>\n",
-       "      <td>3.933900</td>\n",
-       "      <td>-53.125800</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>25506</td>\n",
-       "      <td>25506</td>\n",
-       "      <td>25506</td>\n",
-       "      <td>25788</td>\n",
-       "      <td>25950</td>\n",
-       "      <td>26143</td>\n",
-       "      <td>26143</td>\n",
-       "      <td>26143</td>\n",
-       "      <td>26143</td>\n",
-       "      <td>26450</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>120</th>\n",
-       "      <td>French Polynesia</td>\n",
-       "      <td>France</td>\n",
-       "      <td>-17.679700</td>\n",
-       "      <td>149.406800</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>18930</td>\n",
-       "      <td>18930</td>\n",
-       "      <td>18939</td>\n",
-       "      <td>18947</td>\n",
-       "      <td>18952</td>\n",
-       "      <td>18957</td>\n",
-       "      <td>18963</td>\n",
-       "      <td>18963</td>\n",
-       "      <td>18963</td>\n",
-       "      <td>18972</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>121</th>\n",
-       "      <td>Guadeloupe</td>\n",
-       "      <td>France</td>\n",
-       "      <td>16.265000</td>\n",
-       "      <td>-61.551000</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>17108</td>\n",
-       "      <td>17288</td>\n",
-       "      <td>17288</td>\n",
-       "      <td>17288</td>\n",
-       "      <td>17288</td>\n",
-       "      <td>17288</td>\n",
-       "      <td>17288</td>\n",
-       "      <td>17288</td>\n",
-       "      <td>17288</td>\n",
-       "      <td>17427</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>122</th>\n",
-       "      <td>Martinique</td>\n",
-       "      <td>France</td>\n",
-       "      <td>14.641500</td>\n",
-       "      <td>-61.024200</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>12060</td>\n",
-       "      <td>12130</td>\n",
-       "      <td>12130</td>\n",
-       "      <td>12130</td>\n",
-       "      <td>12130</td>\n",
-       "      <td>12130</td>\n",
-       "      <td>12130</td>\n",
-       "      <td>12130</td>\n",
-       "      <td>12130</td>\n",
-       "      <td>12199</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>123</th>\n",
-       "      <td>Mayotte</td>\n",
-       "      <td>France</td>\n",
-       "      <td>-12.827500</td>\n",
-       "      <td>45.166244</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>19373</td>\n",
-       "      <td>19373</td>\n",
-       "      <td>19378</td>\n",
-       "      <td>19378</td>\n",
-       "      <td>19378</td>\n",
-       "      <td>19378</td>\n",
-       "      <td>19389</td>\n",
-       "      <td>19389</td>\n",
-       "      <td>19389</td>\n",
-       "      <td>19389</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>124</th>\n",
-       "      <td>New Caledonia</td>\n",
-       "      <td>France</td>\n",
-       "      <td>-20.904305</td>\n",
-       "      <td>165.618042</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>128</td>\n",
-       "      <td>128</td>\n",
-       "      <td>128</td>\n",
-       "      <td>128</td>\n",
-       "      <td>128</td>\n",
-       "      <td>128</td>\n",
-       "      <td>128</td>\n",
-       "      <td>128</td>\n",
-       "      <td>129</td>\n",
-       "      <td>129</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>125</th>\n",
-       "      <td>Reunion</td>\n",
-       "      <td>France</td>\n",
-       "      <td>-21.115100</td>\n",
-       "      <td>55.536400</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>27235</td>\n",
-       "      <td>27235</td>\n",
-       "      <td>27235</td>\n",
-       "      <td>27235</td>\n",
-       "      <td>28441</td>\n",
-       "      <td>28441</td>\n",
-       "      <td>28441</td>\n",
-       "      <td>28441</td>\n",
-       "      <td>28441</td>\n",
-       "      <td>28441</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>126</th>\n",
-       "      <td>Saint Barthelemy</td>\n",
-       "      <td>France</td>\n",
-       "      <td>17.900000</td>\n",
-       "      <td>-62.833300</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>1005</td>\n",
-       "      <td>1005</td>\n",
-       "      <td>1005</td>\n",
-       "      <td>1005</td>\n",
-       "      <td>1005</td>\n",
-       "      <td>1005</td>\n",
-       "      <td>1005</td>\n",
-       "      <td>1005</td>\n",
-       "      <td>1005</td>\n",
-       "      <td>1005</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>127</th>\n",
-       "      <td>Saint Pierre and Miquelon</td>\n",
-       "      <td>France</td>\n",
-       "      <td>46.885200</td>\n",
-       "      <td>-56.315900</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>25</td>\n",
-       "      <td>25</td>\n",
-       "      <td>25</td>\n",
-       "      <td>25</td>\n",
-       "      <td>26</td>\n",
-       "      <td>26</td>\n",
-       "      <td>26</td>\n",
-       "      <td>26</td>\n",
-       "      <td>26</td>\n",
-       "      <td>26</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>128</th>\n",
-       "      <td>St Martin</td>\n",
-       "      <td>France</td>\n",
-       "      <td>18.070800</td>\n",
-       "      <td>-63.050100</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>2040</td>\n",
-       "      <td>2040</td>\n",
-       "      <td>2040</td>\n",
-       "      <td>2040</td>\n",
-       "      <td>2040</td>\n",
-       "      <td>2133</td>\n",
-       "      <td>2133</td>\n",
-       "      <td>2133</td>\n",
-       "      <td>2133</td>\n",
-       "      <td>2133</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>129</th>\n",
-       "      <td>Wallis and Futuna</td>\n",
-       "      <td>France</td>\n",
-       "      <td>-14.293800</td>\n",
-       "      <td>-178.116500</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>445</td>\n",
-       "      <td>445</td>\n",
-       "      <td>445</td>\n",
-       "      <td>445</td>\n",
-       "      <td>445</td>\n",
-       "      <td>445</td>\n",
-       "      <td>445</td>\n",
-       "      <td>445</td>\n",
-       "      <td>445</td>\n",
-       "      <td>445</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>130</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>France</td>\n",
-       "      <td>46.227600</td>\n",
-       "      <td>2.213700</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>...</td>\n",
-       "      <td>5675604</td>\n",
-       "      <td>5678209</td>\n",
-       "      <td>5678893</td>\n",
-       "      <td>5681846</td>\n",
-       "      <td>5683536</td>\n",
-       "      <td>5685387</td>\n",
-       "      <td>5688557</td>\n",
-       "      <td>5691181</td>\n",
-       "      <td>5692996</td>\n",
-       "      <td>5692968</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>12 rows × 521 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                Province/State Country/Region        Lat        Long  1/22/20  \\\n",
-       "119              French Guiana         France   3.933900  -53.125800        0   \n",
-       "120           French Polynesia         France -17.679700  149.406800        0   \n",
-       "121                 Guadeloupe         France  16.265000  -61.551000        0   \n",
-       "122                 Martinique         France  14.641500  -61.024200        0   \n",
-       "123                    Mayotte         France -12.827500   45.166244        0   \n",
-       "124              New Caledonia         France -20.904305  165.618042        0   \n",
-       "125                    Reunion         France -21.115100   55.536400        0   \n",
-       "126           Saint Barthelemy         France  17.900000  -62.833300        0   \n",
-       "127  Saint Pierre and Miquelon         France  46.885200  -56.315900        0   \n",
-       "128                  St Martin         France  18.070800  -63.050100        0   \n",
-       "129          Wallis and Futuna         France -14.293800 -178.116500        0   \n",
-       "130                        NaN         France  46.227600    2.213700        0   \n",
-       "\n",
-       "     1/23/20  1/24/20  1/25/20  1/26/20  1/27/20   ...     6/12/21  6/13/21  \\\n",
-       "119        0        0        0        0        0   ...       25506    25506   \n",
-       "120        0        0        0        0        0   ...       18930    18930   \n",
-       "121        0        0        0        0        0   ...       17108    17288   \n",
-       "122        0        0        0        0        0   ...       12060    12130   \n",
-       "123        0        0        0        0        0   ...       19373    19373   \n",
-       "124        0        0        0        0        0   ...         128      128   \n",
-       "125        0        0        0        0        0   ...       27235    27235   \n",
-       "126        0        0        0        0        0   ...        1005     1005   \n",
-       "127        0        0        0        0        0   ...          25       25   \n",
-       "128        0        0        0        0        0   ...        2040     2040   \n",
-       "129        0        0        0        0        0   ...         445      445   \n",
-       "130        0        2        3        3        3   ...     5675604  5678209   \n",
-       "\n",
-       "     6/14/21  6/15/21  6/16/21  6/17/21  6/18/21  6/19/21  6/20/21  6/21/21  \n",
-       "119    25506    25788    25950    26143    26143    26143    26143    26450  \n",
-       "120    18939    18947    18952    18957    18963    18963    18963    18972  \n",
-       "121    17288    17288    17288    17288    17288    17288    17288    17427  \n",
-       "122    12130    12130    12130    12130    12130    12130    12130    12199  \n",
-       "123    19378    19378    19378    19378    19389    19389    19389    19389  \n",
-       "124      128      128      128      128      128      128      129      129  \n",
-       "125    27235    27235    28441    28441    28441    28441    28441    28441  \n",
-       "126     1005     1005     1005     1005     1005     1005     1005     1005  \n",
-       "127       25       25       26       26       26       26       26       26  \n",
-       "128     2040     2040     2040     2133     2133     2133     2133     2133  \n",
-       "129      445      445      445      445      445      445      445      445  \n",
-       "130  5678893  5681846  5683536  5685387  5688557  5691181  5692996  5692968  \n",
-       "\n",
-       "[12 rows x 521 columns]"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "%matplotlib inline\n",
-    "import matplotlib.pyplot as plt\n",
     "import pandas as pd\n",
     "\n",
-    "raw_data = pd.read_csv(data_file, sep=',')\n",
-    "raw_data[raw_data['Country/Region'] == 'France']"
+    "raw_data = pd.read_csv(data_file, sep=',')"
    ]
   },
   {
@@ -475,7 +83,7 @@
     "                    'Japan', 'Korea,South', 'Netherlands', 'Portugal', 'Spain',\n",
     "                    'United Kingdom', 'US']\n",
     "\n",
-    "data = raw_data[raw_data['Country/Region'].isin(selectedCountries)]"
+    "selectedData = raw_data[raw_data['Country/Region'].isin(selectedCountries)]"
    ]
   },
   {
@@ -489,6 +97,31 @@
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataChina = selectedData[selectedData['Country/Region'] == 'China']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataOther = selectedData[selectedData['Province/State'] != selectedData['Province/State']]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "On peut finalement concaténer ces deux jeux de données."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -536,11 +169,35 @@
        "  </thead>\n",
        "  <tbody>\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>1075765</td>\n",
+       "      <td>1076338</td>\n",
+       "      <td>1076579</td>\n",
+       "      <td>1077087</td>\n",
+       "      <td>1077758</td>\n",
+       "      <td>1078251</td>\n",
+       "      <td>1078251</td>\n",
+       "      <td>1079084</td>\n",
+       "      <td>1079415</td>\n",
+       "      <td>1079640</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>58</th>\n",
        "      <td>Anhui</td>\n",
        "      <td>China</td>\n",
-       "      <td>31.8257</td>\n",
-       "      <td>117.2264</td>\n",
+       "      <td>31.825700</td>\n",
+       "      <td>117.226400</td>\n",
        "      <td>1</td>\n",
        "      <td>9</td>\n",
        "      <td>15</td>\n",
@@ -563,8 +220,8 @@
        "      <th>59</th>\n",
        "      <td>Beijing</td>\n",
        "      <td>China</td>\n",
-       "      <td>40.1824</td>\n",
-       "      <td>116.4142</td>\n",
+       "      <td>40.182400</td>\n",
+       "      <td>116.414200</td>\n",
        "      <td>14</td>\n",
        "      <td>22</td>\n",
        "      <td>36</td>\n",
@@ -587,8 +244,8 @@
        "      <th>60</th>\n",
        "      <td>Chongqing</td>\n",
        "      <td>China</td>\n",
-       "      <td>30.0572</td>\n",
-       "      <td>107.8740</td>\n",
+       "      <td>30.057200</td>\n",
+       "      <td>107.874000</td>\n",
        "      <td>6</td>\n",
        "      <td>9</td>\n",
        "      <td>27</td>\n",
@@ -611,8 +268,8 @@
        "      <th>61</th>\n",
        "      <td>Fujian</td>\n",
        "      <td>China</td>\n",
-       "      <td>26.0789</td>\n",
-       "      <td>117.9874</td>\n",
+       "      <td>26.078900</td>\n",
+       "      <td>117.987400</td>\n",
        "      <td>1</td>\n",
        "      <td>5</td>\n",
        "      <td>10</td>\n",
@@ -635,8 +292,8 @@
        "      <th>62</th>\n",
        "      <td>Gansu</td>\n",
        "      <td>China</td>\n",
-       "      <td>35.7518</td>\n",
-       "      <td>104.2861</td>\n",
+       "      <td>35.751800</td>\n",
+       "      <td>104.286100</td>\n",
        "      <td>0</td>\n",
        "      <td>2</td>\n",
        "      <td>2</td>\n",
@@ -659,8 +316,8 @@
        "      <th>63</th>\n",
        "      <td>Guangdong</td>\n",
        "      <td>China</td>\n",
-       "      <td>23.3417</td>\n",
-       "      <td>113.4244</td>\n",
+       "      <td>23.341700</td>\n",
+       "      <td>113.424400</td>\n",
        "      <td>26</td>\n",
        "      <td>32</td>\n",
        "      <td>53</td>\n",
@@ -683,8 +340,8 @@
        "      <th>64</th>\n",
        "      <td>Guangxi</td>\n",
        "      <td>China</td>\n",
-       "      <td>23.8298</td>\n",
-       "      <td>108.7881</td>\n",
+       "      <td>23.829800</td>\n",
+       "      <td>108.788100</td>\n",
        "      <td>2</td>\n",
        "      <td>5</td>\n",
        "      <td>23</td>\n",
@@ -707,8 +364,8 @@
        "      <th>65</th>\n",
        "      <td>Guizhou</td>\n",
        "      <td>China</td>\n",
-       "      <td>26.8154</td>\n",
-       "      <td>106.8748</td>\n",
+       "      <td>26.815400</td>\n",
+       "      <td>106.874800</td>\n",
        "      <td>1</td>\n",
        "      <td>3</td>\n",
        "      <td>3</td>\n",
@@ -731,8 +388,8 @@
        "      <th>66</th>\n",
        "      <td>Hainan</td>\n",
        "      <td>China</td>\n",
-       "      <td>19.1959</td>\n",
-       "      <td>109.7453</td>\n",
+       "      <td>19.195900</td>\n",
+       "      <td>109.745300</td>\n",
        "      <td>4</td>\n",
        "      <td>5</td>\n",
        "      <td>8</td>\n",
@@ -755,8 +412,8 @@
        "      <th>67</th>\n",
        "      <td>Hebei</td>\n",
        "      <td>China</td>\n",
-       "      <td>39.5490</td>\n",
-       "      <td>116.1306</td>\n",
+       "      <td>39.549000</td>\n",
+       "      <td>116.130600</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>2</td>\n",
@@ -779,8 +436,8 @@
        "      <th>68</th>\n",
        "      <td>Heilongjiang</td>\n",
        "      <td>China</td>\n",
-       "      <td>47.8620</td>\n",
-       "      <td>127.7615</td>\n",
+       "      <td>47.862000</td>\n",
+       "      <td>127.761500</td>\n",
        "      <td>0</td>\n",
        "      <td>2</td>\n",
        "      <td>4</td>\n",
@@ -803,8 +460,8 @@
        "      <th>69</th>\n",
        "      <td>Henan</td>\n",
        "      <td>China</td>\n",
-       "      <td>37.8957</td>\n",
-       "      <td>114.9042</td>\n",
+       "      <td>37.895700</td>\n",
+       "      <td>114.904200</td>\n",
        "      <td>5</td>\n",
        "      <td>5</td>\n",
        "      <td>9</td>\n",
@@ -827,8 +484,8 @@
        "      <th>70</th>\n",
        "      <td>Hong Kong</td>\n",
        "      <td>China</td>\n",
-       "      <td>22.3000</td>\n",
-       "      <td>114.2000</td>\n",
+       "      <td>22.300000</td>\n",
+       "      <td>114.200000</td>\n",
        "      <td>0</td>\n",
        "      <td>2</td>\n",
        "      <td>2</td>\n",
@@ -851,8 +508,8 @@
        "      <th>71</th>\n",
        "      <td>Hubei</td>\n",
        "      <td>China</td>\n",
-       "      <td>30.9756</td>\n",
-       "      <td>112.2707</td>\n",
+       "      <td>30.975600</td>\n",
+       "      <td>112.270700</td>\n",
        "      <td>444</td>\n",
        "      <td>444</td>\n",
        "      <td>549</td>\n",
@@ -875,8 +532,8 @@
        "      <th>72</th>\n",
        "      <td>Hunan</td>\n",
        "      <td>China</td>\n",
-       "      <td>27.6104</td>\n",
-       "      <td>111.7088</td>\n",
+       "      <td>27.610400</td>\n",
+       "      <td>111.708800</td>\n",
        "      <td>4</td>\n",
        "      <td>9</td>\n",
        "      <td>24</td>\n",
@@ -899,8 +556,8 @@
        "      <th>73</th>\n",
        "      <td>Inner Mongolia</td>\n",
        "      <td>China</td>\n",
-       "      <td>44.0935</td>\n",
-       "      <td>113.9448</td>\n",
+       "      <td>44.093500</td>\n",
+       "      <td>113.944800</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>1</td>\n",
@@ -923,8 +580,8 @@
        "      <th>74</th>\n",
        "      <td>Jiangsu</td>\n",
        "      <td>China</td>\n",
-       "      <td>32.9711</td>\n",
-       "      <td>119.4550</td>\n",
+       "      <td>32.971100</td>\n",
+       "      <td>119.455000</td>\n",
        "      <td>1</td>\n",
        "      <td>5</td>\n",
        "      <td>9</td>\n",
@@ -947,8 +604,8 @@
        "      <th>75</th>\n",
        "      <td>Jiangxi</td>\n",
        "      <td>China</td>\n",
-       "      <td>27.6140</td>\n",
-       "      <td>115.7221</td>\n",
+       "      <td>27.614000</td>\n",
+       "      <td>115.722100</td>\n",
        "      <td>2</td>\n",
        "      <td>7</td>\n",
        "      <td>18</td>\n",
@@ -971,8 +628,8 @@
        "      <th>76</th>\n",
        "      <td>Jilin</td>\n",
        "      <td>China</td>\n",
-       "      <td>43.6661</td>\n",
-       "      <td>126.1923</td>\n",
+       "      <td>43.666100</td>\n",
+       "      <td>126.192300</td>\n",
        "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>3</td>\n",
@@ -995,8 +652,8 @@
        "      <th>77</th>\n",
        "      <td>Liaoning</td>\n",
        "      <td>China</td>\n",
-       "      <td>41.2956</td>\n",
-       "      <td>122.6085</td>\n",
+       "      <td>41.295600</td>\n",
+       "      <td>122.608500</td>\n",
        "      <td>2</td>\n",
        "      <td>3</td>\n",
        "      <td>4</td>\n",
@@ -1019,8 +676,8 @@
        "      <th>78</th>\n",
        "      <td>Macau</td>\n",
        "      <td>China</td>\n",
-       "      <td>22.1667</td>\n",
-       "      <td>113.5500</td>\n",
+       "      <td>22.166700</td>\n",
+       "      <td>113.550000</td>\n",
        "      <td>1</td>\n",
        "      <td>2</td>\n",
        "      <td>2</td>\n",
@@ -1043,8 +700,8 @@
        "      <th>79</th>\n",
        "      <td>Ningxia</td>\n",
        "      <td>China</td>\n",
-       "      <td>37.2692</td>\n",
-       "      <td>106.1655</td>\n",
+       "      <td>37.269200</td>\n",
+       "      <td>106.165500</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>2</td>\n",
@@ -1067,8 +724,8 @@
        "      <th>80</th>\n",
        "      <td>Qinghai</td>\n",
        "      <td>China</td>\n",
-       "      <td>35.7452</td>\n",
-       "      <td>95.9956</td>\n",
+       "      <td>35.745200</td>\n",
+       "      <td>95.995600</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -1091,8 +748,8 @@
        "      <th>81</th>\n",
        "      <td>Shaanxi</td>\n",
        "      <td>China</td>\n",
-       "      <td>35.1917</td>\n",
-       "      <td>108.8701</td>\n",
+       "      <td>35.191700</td>\n",
+       "      <td>108.870100</td>\n",
        "      <td>0</td>\n",
        "      <td>3</td>\n",
        "      <td>5</td>\n",
@@ -1115,8 +772,8 @@
        "      <th>82</th>\n",
        "      <td>Shandong</td>\n",
        "      <td>China</td>\n",
-       "      <td>36.3427</td>\n",
-       "      <td>118.1498</td>\n",
+       "      <td>36.342700</td>\n",
+       "      <td>118.149800</td>\n",
        "      <td>2</td>\n",
        "      <td>6</td>\n",
        "      <td>15</td>\n",
@@ -1139,8 +796,8 @@
        "      <th>83</th>\n",
        "      <td>Shanghai</td>\n",
        "      <td>China</td>\n",
-       "      <td>31.2020</td>\n",
-       "      <td>121.4491</td>\n",
+       "      <td>31.202000</td>\n",
+       "      <td>121.449100</td>\n",
        "      <td>9</td>\n",
        "      <td>16</td>\n",
        "      <td>20</td>\n",
@@ -1163,8 +820,8 @@
        "      <th>84</th>\n",
        "      <td>Shanxi</td>\n",
        "      <td>China</td>\n",
-       "      <td>37.5777</td>\n",
-       "      <td>112.2922</td>\n",
+       "      <td>37.577700</td>\n",
+       "      <td>112.292200</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
@@ -1187,8 +844,8 @@
        "      <th>85</th>\n",
        "      <td>Sichuan</td>\n",
        "      <td>China</td>\n",
-       "      <td>30.6171</td>\n",
-       "      <td>102.7103</td>\n",
+       "      <td>30.617100</td>\n",
+       "      <td>102.710300</td>\n",
        "      <td>5</td>\n",
        "      <td>8</td>\n",
        "      <td>15</td>\n",
@@ -1211,8 +868,8 @@
        "      <th>86</th>\n",
        "      <td>Tianjin</td>\n",
        "      <td>China</td>\n",
-       "      <td>39.3054</td>\n",
-       "      <td>117.3230</td>\n",
+       "      <td>39.305400</td>\n",
+       "      <td>117.323000</td>\n",
        "      <td>4</td>\n",
        "      <td>4</td>\n",
        "      <td>8</td>\n",
@@ -1235,8 +892,8 @@
        "      <th>87</th>\n",
        "      <td>Tibet</td>\n",
        "      <td>China</td>\n",
-       "      <td>31.6927</td>\n",
-       "      <td>88.0924</td>\n",
+       "      <td>31.692700</td>\n",
+       "      <td>88.092400</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -1283,8 +940,8 @@
        "      <th>89</th>\n",
        "      <td>Xinjiang</td>\n",
        "      <td>China</td>\n",
-       "      <td>41.1129</td>\n",
-       "      <td>85.2401</td>\n",
+       "      <td>41.112900</td>\n",
+       "      <td>85.240100</td>\n",
        "      <td>0</td>\n",
        "      <td>2</td>\n",
        "      <td>2</td>\n",
@@ -1307,8 +964,8 @@
        "      <th>90</th>\n",
        "      <td>Yunnan</td>\n",
        "      <td>China</td>\n",
-       "      <td>24.9740</td>\n",
-       "      <td>101.4870</td>\n",
+       "      <td>24.974000</td>\n",
+       "      <td>101.487000</td>\n",
        "      <td>1</td>\n",
        "      <td>2</td>\n",
        "      <td>5</td>\n",
@@ -1331,8 +988,8 @@
        "      <th>91</th>\n",
        "      <td>Zhejiang</td>\n",
        "      <td>China</td>\n",
-       "      <td>29.1832</td>\n",
-       "      <td>120.0934</td>\n",
+       "      <td>29.183200</td>\n",
+       "      <td>120.093400</td>\n",
        "      <td>10</td>\n",
        "      <td>27</td>\n",
        "      <td>43</td>\n",
@@ -1351,207 +1008,6 @@
        "      <td>1379</td>\n",
        "      <td>1383</td>\n",
        "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>34 rows × 521 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    Province/State Country/Region      Lat      Long  1/22/20  1/23/20  \\\n",
-       "58           Anhui          China  31.8257  117.2264        1        9   \n",
-       "59         Beijing          China  40.1824  116.4142       14       22   \n",
-       "60       Chongqing          China  30.0572  107.8740        6        9   \n",
-       "61          Fujian          China  26.0789  117.9874        1        5   \n",
-       "62           Gansu          China  35.7518  104.2861        0        2   \n",
-       "63       Guangdong          China  23.3417  113.4244       26       32   \n",
-       "64         Guangxi          China  23.8298  108.7881        2        5   \n",
-       "65         Guizhou          China  26.8154  106.8748        1        3   \n",
-       "66          Hainan          China  19.1959  109.7453        4        5   \n",
-       "67           Hebei          China  39.5490  116.1306        1        1   \n",
-       "68    Heilongjiang          China  47.8620  127.7615        0        2   \n",
-       "69           Henan          China  37.8957  114.9042        5        5   \n",
-       "70       Hong Kong          China  22.3000  114.2000        0        2   \n",
-       "71           Hubei          China  30.9756  112.2707      444      444   \n",
-       "72           Hunan          China  27.6104  111.7088        4        9   \n",
-       "73  Inner Mongolia          China  44.0935  113.9448        0        0   \n",
-       "74         Jiangsu          China  32.9711  119.4550        1        5   \n",
-       "75         Jiangxi          China  27.6140  115.7221        2        7   \n",
-       "76           Jilin          China  43.6661  126.1923        0        1   \n",
-       "77        Liaoning          China  41.2956  122.6085        2        3   \n",
-       "78           Macau          China  22.1667  113.5500        1        2   \n",
-       "79         Ningxia          China  37.2692  106.1655        1        1   \n",
-       "80         Qinghai          China  35.7452   95.9956        0        0   \n",
-       "81         Shaanxi          China  35.1917  108.8701        0        3   \n",
-       "82        Shandong          China  36.3427  118.1498        2        6   \n",
-       "83        Shanghai          China  31.2020  121.4491        9       16   \n",
-       "84          Shanxi          China  37.5777  112.2922        1        1   \n",
-       "85         Sichuan          China  30.6171  102.7103        5        8   \n",
-       "86         Tianjin          China  39.3054  117.3230        4        4   \n",
-       "87           Tibet          China  31.6927   88.0924        0        0   \n",
-       "88         Unknown          China      NaN       NaN        0        0   \n",
-       "89        Xinjiang          China  41.1129   85.2401        0        2   \n",
-       "90          Yunnan          China  24.9740  101.4870        1        2   \n",
-       "91        Zhejiang          China  29.1832  120.0934       10       27   \n",
-       "\n",
-       "    1/24/20  1/25/20  1/26/20  1/27/20   ...     6/12/21  6/13/21  6/14/21  \\\n",
-       "58       15       39       60       70   ...        1004     1004     1004   \n",
-       "59       36       41       68       80   ...        1069     1070     1071   \n",
-       "60       27       57       75      110   ...         598      598      598   \n",
-       "61       10       18       35       59   ...         637      637      638   \n",
-       "62        2        4        7       14   ...         194      194      194   \n",
-       "63       53       78      111      151   ...        2618     2625     2635   \n",
-       "64       23       23       36       46   ...         275      275      275   \n",
-       "65        3        4        5        7   ...         147      147      147   \n",
-       "66        8       19       22       33   ...         188      188      188   \n",
-       "67        2        8       13       18   ...        1317     1317     1317   \n",
-       "68        4        9       15       21   ...        1612     1612     1612   \n",
-       "69        9       32       83      128   ...        1316     1316     1316   \n",
-       "70        2        5        8        8   ...       11877    11877    11878   \n",
-       "71      549      761     1058     1423   ...       68159    68159    68159   \n",
-       "72       24       43       69      100   ...        1051     1051     1051   \n",
-       "73        1        7        7       11   ...         390      393      393   \n",
-       "74        9       18       33       47   ...         735      736      736   \n",
-       "75       18       18       36       72   ...         937      937      937   \n",
-       "76        3        4        4        6   ...         573      573      573   \n",
-       "77        4       17       21       27   ...         426      426      426   \n",
-       "78        2        2        5        6   ...          52       52       52   \n",
-       "79        2        3        4        7   ...          76       76       76   \n",
-       "80        0        1        1        6   ...          18       18       18   \n",
-       "81        5       15       22       35   ...         622      622      622   \n",
-       "82       15       27       46       75   ...         883      883      883   \n",
-       "83       20       33       40       53   ...        2155     2160     2165   \n",
-       "84        1        6        9       13   ...         253      253      253   \n",
-       "85       15       28       44       69   ...        1050     1054     1055   \n",
-       "86        8       10       14       23   ...         398      398      398   \n",
-       "87        0        0        0        0   ...           1        1        1   \n",
-       "88        0        0        0        0   ...           0        0        0   \n",
-       "89        2        3        4        5   ...         980      980      980   \n",
-       "90        5       11       16       26   ...         374      376      377   \n",
-       "91       43       62      104      128   ...        1372     1372     1373   \n",
-       "\n",
-       "    6/15/21  6/16/21  6/17/21  6/18/21  6/19/21  6/20/21  6/21/21  \n",
-       "58     1004     1004     1004     1004     1004     1004     1004  \n",
-       "59     1071     1072     1072     1073     1073     1075     1075  \n",
-       "60      598      598      598      598      598      598      598  \n",
-       "61      638      641      646      650      651      652      659  \n",
-       "62      194      194      194      194      194      194      194  \n",
-       "63     2650     2657     2666     2680     2692     2699     2706  \n",
-       "64      275      275      275      275      275      275      275  \n",
-       "65      147      147      147      147      147      147      147  \n",
-       "66      188      188      188      188      188      188      188  \n",
-       "67     1317     1317     1317     1317     1317     1317     1317  \n",
-       "68     1612     1612     1612     1612     1612     1612     1612  \n",
-       "69     1316     1316     1316     1316     1316     1317     1317  \n",
-       "70    11880    11881    11881    11884    11885    11886    11889  \n",
-       "71    68159    68160    68160    68160    68160    68160    68160  \n",
-       "72     1051     1051     1051     1051     1051     1051     1051  \n",
-       "73      393      393      393      393      393      393      394  \n",
-       "74      738      739      739      739      739      740      740  \n",
-       "75      937      937      937      937      937      937      937  \n",
-       "76      573      573      573      573      573      573      573  \n",
-       "77      426      426      426      426      426      426      426  \n",
-       "78       52       52       52       53       53       53       53  \n",
-       "79       76       76       76       76       76       76       76  \n",
-       "80       18       18       18       18       18       18       18  \n",
-       "81      622      622      622      624      624      624      624  \n",
-       "82      883      883      883      883      883      883      883  \n",
-       "83     2168     2170     2173     2179     2182     2183     2184  \n",
-       "84      253      253      253      253      253      253      253  \n",
-       "85     1056     1057     1057     1057     1058     1059     1064  \n",
-       "86      398      398      399      399      399      399      399  \n",
-       "87        1        1        1        1        1        1        1  \n",
-       "88        0        0        0        0        0        0        0  \n",
-       "89      980      980      980      980      980      980      980  \n",
-       "90      377      380      382      384      388      391      391  \n",
-       "91     1373     1373     1376     1377     1379     1379     1383  \n",
-       "\n",
-       "[34 rows x 521 columns]"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dataChina = data[data['Country/Region'] == 'China']\n",
-    "dataChina"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "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>Province/State</th>\n",
-       "      <th>Country/Region</th>\n",
-       "      <th>Lat</th>\n",
-       "      <th>Long</th>\n",
-       "      <th>1/22/20</th>\n",
-       "      <th>1/23/20</th>\n",
-       "      <th>1/24/20</th>\n",
-       "      <th>1/25/20</th>\n",
-       "      <th>1/26/20</th>\n",
-       "      <th>1/27/20</th>\n",
-       "      <th>...</th>\n",
-       "      <th>6/12/21</th>\n",
-       "      <th>6/13/21</th>\n",
-       "      <th>6/14/21</th>\n",
-       "      <th>6/15/21</th>\n",
-       "      <th>6/16/21</th>\n",
-       "      <th>6/17/21</th>\n",
-       "      <th>6/18/21</th>\n",
-       "      <th>6/19/21</th>\n",
-       "      <th>6/20/21</th>\n",
-       "      <th>6/21/21</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\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>1075765</td>\n",
-       "      <td>1076338</td>\n",
-       "      <td>1076579</td>\n",
-       "      <td>1077087</td>\n",
-       "      <td>1077758</td>\n",
-       "      <td>1078251</td>\n",
-       "      <td>1078251</td>\n",
-       "      <td>1079084</td>\n",
-       "      <td>1079415</td>\n",
-       "      <td>1079640</td>\n",
-       "    </tr>\n",
        "    <tr>\n",
        "      <th>130</th>\n",
        "      <td>NaN</td>\n",
@@ -1794,25 +1250,93 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>11 rows × 521 columns</p>\n",
+       "<p>45 rows × 521 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "    Province/State  Country/Region        Lat        Long  1/22/20  1/23/20  \\\n",
-       "23             NaN         Belgium  50.833300    4.469936        0        0   \n",
-       "130            NaN          France  46.227600    2.213700        0        0   \n",
-       "134            NaN         Germany  51.165691   10.451526        0        0   \n",
-       "149            NaN            Iran  32.427908   53.688046        0        0   \n",
-       "153            NaN           Italy  41.871940   12.567380        0        0   \n",
-       "155            NaN           Japan  36.204824  138.252924        2        2   \n",
-       "197            NaN     Netherlands  52.132600    5.291300        0        0   \n",
-       "214            NaN        Portugal  39.399900   -8.224500        0        0   \n",
-       "237            NaN           Spain  40.463667   -3.749220        0        0   \n",
-       "253            NaN              US  40.000000 -100.000000        1        1   \n",
-       "268            NaN  United Kingdom  55.378100   -3.436000        0        0   \n",
+       "     Province/State  Country/Region        Lat        Long  1/22/20  1/23/20  \\\n",
+       "23              NaN         Belgium  50.833300    4.469936        0        0   \n",
+       "58            Anhui           China  31.825700  117.226400        1        9   \n",
+       "59          Beijing           China  40.182400  116.414200       14       22   \n",
+       "60        Chongqing           China  30.057200  107.874000        6        9   \n",
+       "61           Fujian           China  26.078900  117.987400        1        5   \n",
+       "62            Gansu           China  35.751800  104.286100        0        2   \n",
+       "63        Guangdong           China  23.341700  113.424400       26       32   \n",
+       "64          Guangxi           China  23.829800  108.788100        2        5   \n",
+       "65          Guizhou           China  26.815400  106.874800        1        3   \n",
+       "66           Hainan           China  19.195900  109.745300        4        5   \n",
+       "67            Hebei           China  39.549000  116.130600        1        1   \n",
+       "68     Heilongjiang           China  47.862000  127.761500        0        2   \n",
+       "69            Henan           China  37.895700  114.904200        5        5   \n",
+       "70        Hong Kong           China  22.300000  114.200000        0        2   \n",
+       "71            Hubei           China  30.975600  112.270700      444      444   \n",
+       "72            Hunan           China  27.610400  111.708800        4        9   \n",
+       "73   Inner Mongolia           China  44.093500  113.944800        0        0   \n",
+       "74          Jiangsu           China  32.971100  119.455000        1        5   \n",
+       "75          Jiangxi           China  27.614000  115.722100        2        7   \n",
+       "76            Jilin           China  43.666100  126.192300        0        1   \n",
+       "77         Liaoning           China  41.295600  122.608500        2        3   \n",
+       "78            Macau           China  22.166700  113.550000        1        2   \n",
+       "79          Ningxia           China  37.269200  106.165500        1        1   \n",
+       "80          Qinghai           China  35.745200   95.995600        0        0   \n",
+       "81          Shaanxi           China  35.191700  108.870100        0        3   \n",
+       "82         Shandong           China  36.342700  118.149800        2        6   \n",
+       "83         Shanghai           China  31.202000  121.449100        9       16   \n",
+       "84           Shanxi           China  37.577700  112.292200        1        1   \n",
+       "85          Sichuan           China  30.617100  102.710300        5        8   \n",
+       "86          Tianjin           China  39.305400  117.323000        4        4   \n",
+       "87            Tibet           China  31.692700   88.092400        0        0   \n",
+       "88          Unknown           China        NaN         NaN        0        0   \n",
+       "89         Xinjiang           China  41.112900   85.240100        0        2   \n",
+       "90           Yunnan           China  24.974000  101.487000        1        2   \n",
+       "91         Zhejiang           China  29.183200  120.093400       10       27   \n",
+       "130             NaN          France  46.227600    2.213700        0        0   \n",
+       "134             NaN         Germany  51.165691   10.451526        0        0   \n",
+       "149             NaN            Iran  32.427908   53.688046        0        0   \n",
+       "153             NaN           Italy  41.871940   12.567380        0        0   \n",
+       "155             NaN           Japan  36.204824  138.252924        2        2   \n",
+       "197             NaN     Netherlands  52.132600    5.291300        0        0   \n",
+       "214             NaN        Portugal  39.399900   -8.224500        0        0   \n",
+       "237             NaN           Spain  40.463667   -3.749220        0        0   \n",
+       "253             NaN              US  40.000000 -100.000000        1        1   \n",
+       "268             NaN  United Kingdom  55.378100   -3.436000        0        0   \n",
        "\n",
        "     1/24/20  1/25/20  1/26/20  1/27/20    ...      6/12/21   6/13/21  \\\n",
        "23         0        0        0        0    ...      1075765   1076338   \n",
+       "58        15       39       60       70    ...         1004      1004   \n",
+       "59        36       41       68       80    ...         1069      1070   \n",
+       "60        27       57       75      110    ...          598       598   \n",
+       "61        10       18       35       59    ...          637       637   \n",
+       "62         2        4        7       14    ...          194       194   \n",
+       "63        53       78      111      151    ...         2618      2625   \n",
+       "64        23       23       36       46    ...          275       275   \n",
+       "65         3        4        5        7    ...          147       147   \n",
+       "66         8       19       22       33    ...          188       188   \n",
+       "67         2        8       13       18    ...         1317      1317   \n",
+       "68         4        9       15       21    ...         1612      1612   \n",
+       "69         9       32       83      128    ...         1316      1316   \n",
+       "70         2        5        8        8    ...        11877     11877   \n",
+       "71       549      761     1058     1423    ...        68159     68159   \n",
+       "72        24       43       69      100    ...         1051      1051   \n",
+       "73         1        7        7       11    ...          390       393   \n",
+       "74         9       18       33       47    ...          735       736   \n",
+       "75        18       18       36       72    ...          937       937   \n",
+       "76         3        4        4        6    ...          573       573   \n",
+       "77         4       17       21       27    ...          426       426   \n",
+       "78         2        2        5        6    ...           52        52   \n",
+       "79         2        3        4        7    ...           76        76   \n",
+       "80         0        1        1        6    ...           18        18   \n",
+       "81         5       15       22       35    ...          622       622   \n",
+       "82        15       27       46       75    ...          883       883   \n",
+       "83        20       33       40       53    ...         2155      2160   \n",
+       "84         1        6        9       13    ...          253       253   \n",
+       "85        15       28       44       69    ...         1050      1054   \n",
+       "86         8       10       14       23    ...          398       398   \n",
+       "87         0        0        0        0    ...            1         1   \n",
+       "88         0        0        0        0    ...            0         0   \n",
+       "89         2        3        4        5    ...          980       980   \n",
+       "90         5       11       16       26    ...          374       376   \n",
+       "91        43       62      104      128    ...         1372      1372   \n",
        "130        2        3        3        3    ...      5675604   5678209   \n",
        "134        0        0        0        1    ...      3722295   3723295   \n",
        "149        0        0        0        0    ...      3020522   3028717   \n",
@@ -1826,6 +1350,40 @@
        "\n",
        "      6/14/21   6/15/21   6/16/21   6/17/21   6/18/21   6/19/21   6/20/21  \\\n",
        "23    1076579   1077087   1077758   1078251   1078251   1079084   1079415   \n",
+       "58       1004      1004      1004      1004      1004      1004      1004   \n",
+       "59       1071      1071      1072      1072      1073      1073      1075   \n",
+       "60        598       598       598       598       598       598       598   \n",
+       "61        638       638       641       646       650       651       652   \n",
+       "62        194       194       194       194       194       194       194   \n",
+       "63       2635      2650      2657      2666      2680      2692      2699   \n",
+       "64        275       275       275       275       275       275       275   \n",
+       "65        147       147       147       147       147       147       147   \n",
+       "66        188       188       188       188       188       188       188   \n",
+       "67       1317      1317      1317      1317      1317      1317      1317   \n",
+       "68       1612      1612      1612      1612      1612      1612      1612   \n",
+       "69       1316      1316      1316      1316      1316      1316      1317   \n",
+       "70      11878     11880     11881     11881     11884     11885     11886   \n",
+       "71      68159     68159     68160     68160     68160     68160     68160   \n",
+       "72       1051      1051      1051      1051      1051      1051      1051   \n",
+       "73        393       393       393       393       393       393       393   \n",
+       "74        736       738       739       739       739       739       740   \n",
+       "75        937       937       937       937       937       937       937   \n",
+       "76        573       573       573       573       573       573       573   \n",
+       "77        426       426       426       426       426       426       426   \n",
+       "78         52        52        52        52        53        53        53   \n",
+       "79         76        76        76        76        76        76        76   \n",
+       "80         18        18        18        18        18        18        18   \n",
+       "81        622       622       622       622       624       624       624   \n",
+       "82        883       883       883       883       883       883       883   \n",
+       "83       2165      2168      2170      2173      2179      2182      2183   \n",
+       "84        253       253       253       253       253       253       253   \n",
+       "85       1055      1056      1057      1057      1057      1058      1059   \n",
+       "86        398       398       398       399       399       399       399   \n",
+       "87          1         1         1         1         1         1         1   \n",
+       "88          0         0         0         0         0         0         0   \n",
+       "89        980       980       980       980       980       980       980   \n",
+       "90        377       377       380       382       384       388       391   \n",
+       "91       1373      1373      1373      1376      1377      1379      1379   \n",
        "130   5678893   5681846   5683536   5685387   5688557   5691181   5692996   \n",
        "134   3724168   3725328   3726767   3727668   3728601   3729597   3730126   \n",
        "149   3039432   3049648   3060135   3070426   3080526   3086974   3095135   \n",
@@ -1839,6 +1397,40 @@
        "\n",
        "      6/21/21  \n",
        "23    1079640  \n",
+       "58       1004  \n",
+       "59       1075  \n",
+       "60        598  \n",
+       "61        659  \n",
+       "62        194  \n",
+       "63       2706  \n",
+       "64        275  \n",
+       "65        147  \n",
+       "66        188  \n",
+       "67       1317  \n",
+       "68       1612  \n",
+       "69       1317  \n",
+       "70      11889  \n",
+       "71      68160  \n",
+       "72       1051  \n",
+       "73        394  \n",
+       "74        740  \n",
+       "75        937  \n",
+       "76        573  \n",
+       "77        426  \n",
+       "78         53  \n",
+       "79         76  \n",
+       "80         18  \n",
+       "81        624  \n",
+       "82        883  \n",
+       "83       2184  \n",
+       "84        253  \n",
+       "85       1064  \n",
+       "86        399  \n",
+       "87          1  \n",
+       "88          0  \n",
+       "89        980  \n",
+       "90        391  \n",
+       "91       1383  \n",
        "130   5692968  \n",
        "134   3730619  \n",
        "149   3105620  \n",
@@ -1850,17 +1442,113 @@
        "253  33554275  \n",
        "268   4640507  \n",
        "\n",
-       "[11 rows x 521 columns]"
+       "[45 rows x 521 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "dataOther = data[data['Province/State'] != data['Province/State']]\n",
-    "dataOther"
+    "data = pd.concat([dataOther, dataChina]).sort_index()\n",
+    "data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "On remarque d'ailleurs, pour la Chine (`index 88`), une ligne vide sans intérêt pour la suit de nos travaux car pleine de *zéros* ; on la supprime."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = data.drop([88])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Visualisation des données\n",
+    "\n",
+    "On cherche à visualiser le nombre cumulé de cas à chaque date disponible.\n",
+    "Présentons dans un premier temps les données telles qu'elles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Extraction des dates, lieux et nombre de cas cumulés\n",
+    "dates = data.keys()[4:]         # Dates\n",
+    "place = data.get_values()[:,:2] # [Province , Country]\n",
+    "cases = data.get_values()[:,4:] # Cas"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Reformattons les noms des différents pays/régions pour plus de lisibilité. Passons ainsi du format\n",
+    " `[Province, Country]`\n",
+    "au format\n",
+    "  `[Country (-Province?)]`\n",
+    "où l'on ne précise la province que si c'est nécessaire."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def convert_location_names(place) :\n",
+    "    places = []\n",
+    "    for i in range(len(place)) :\n",
+    "        newDate = place[i,1]\n",
+    "        # Cas où la province est spécifiée (non- 'NaN')\n",
+    "        if not place[i,0] != place[i,0] :\n",
+    "            newDate = newDate + \" - \" + place[i,0]\n",
+    "        places.append(newDate)\n",
+    "    return places\n",
+    "place = convert_location_names(place) # Attention à ne pas réexécuter plusieurs fois cette cellule"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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DzzDa2MDXtdZrlFIh4DWl1J+11m8PaPMBYHZuOh34WW4uhMiTeCbO77b+jlOrT6UiUJHvckQeHPYMXmvdorVek1uOABuAukHNLgEe0FkrgRKlVO2IVyuEGLYH3n6AffF9fHHxF/NdisiTI+qDV0o1AkuAVYN21QF7Bqw3cfAvAZRSy5VSq5VSq9vb24+sUiHEsGWcDI9seoSzp5zNydXSYzpZDTvglVJB4FHgOq117+DdQ7xEH7RB67u01ku11ksrKyuPrFIhxLA9teMp2hPtfHr+p/NdisijYQW8UsoiG+4Paq0fG6JJEzB1wHo9sPfYyxNCHClXu9y3/j7mlM7h7Cln57sckUfDGUWjgHuADVrrHx2i2RPAZ3Kjac4AwlrrlhGsUwgxTE/teIqtPVu56sSr5IHak9xwRtGcDVwBvKWUWpvb9i9AA4DW+k7gKeBiYCsQB64a+VKFEIcTSUf44as/ZGHFQj7Q+IF8lyPy7LABr7VewdB97APbaOBLI1WUEOLo/GrDr+hMdnLHe+7ANMx8lyPyTD7JKsQEsTO8kwc3PMi5deeyoHxBvssRY4AEvBATxE2rbgLg+lOvz3MlYqyQgBdiAljfuZ7/bflfrlpwFTOKZ+S7HDFGSMALMQHc/ebdhKwQn5j7iXyXIsYQCXghxrm3O9/mL7v/wrL5ywh6g/kuR4whEvBCjHN3rL2DIm8Rn5n/mXyXIsYYCXghxrG1bWt5oekFrjrxKkLeUL7LEWOMBLwQ49jta2+nzF/Gp074VL5LEWOQBLwQ49T6jvWsalnF5078nDytSQxJAl6IceqRzY8Q8AS4dPal+S5FjFES8EKMQ73pXp7e8TQXT79YRs6IQ5KAF2Ic+sO2P5CwE3xsrjxrVRyaBLwQ44yrXf57039zYvmJcs8Z8Y4k4IUYZ/60609sD2/nMwtk3Lt4ZxLwQowjrnb5+Rs/Z3rxdN437X35LkeMcRLwQowjLza9yNaerVyz8Bq537s4LAl4IcaR+9bfR01hDRdNvyjfpYhxQAJeiHFiXcc6Vu9bzafnfRrLsPJdjhgHJOCFGCfuX38/ISvEZXMuy3cpYpyQgBdiHGiKNPGnXX/isrmXUWgV5rscMU4cNuCVUvcqpdqUUusOsf8CpVRYKbU2N/2/kS9TiMntVxt+hYHBshOW5bsUMY54htHmPuB24IF3aPOi1vpDI1KREOIA4VSYx7Y8xsUzLqa6sDrf5Yhx5LBn8FrrF4Cu41CLEGII/73pv0nYCXmghzhiI9UHf6ZS6g2l1NNKKfnstBAjJJwKc9/6+zi//nzmls3NdzlinBlOF83hrAGmaa2jSqmLgceB2UM1VEotB5YDNDQ0jMBbCzGx3bvuXqLpKNeefG2+SxHj0DGfwWute7XW0dzyU4CllKo4RNu7tNZLtdZLKysrj/WthZjQIukID298mIumX8Sc0jn5LkeMQ8cc8EqpGqWUyi2fljtm57EeV4jJ7tHNjxK341y54Mp8lyLGqcN20SilHgIuACqUUk3AvwIWgNb6TuAy4AtKKRtIAJ/UWutRq1iISSDjZnhw44OcWnMq88vn57scMU4dNuC11pcfZv/tZIdRCiFGyNM7nqY11soNZ9yQ71LEOCafZBVijHG1y71v3cvs0tmcW3duvssR45gEvBBjzGNbHmNbeBvXLLyG3OUtIY6KBLwQY0hnopMfv/ZjllYv5aJGuSWwODYS8EKMIT9c/UPidpwbzrxBzt7FMZOAF2KMeKXlFf6w/Q9cfeLVzCieke9yxAQgAS/EGKC15tbXb6W2sJZrFl2T73LEBCEBL8QYcM+6e3ij/Q2uWXQNPtOX73LEBCEBL0SetcZaufONO3nvtPdy2Wx5WpMYORLwQuTZrWtuRWvN9UuvlwurYkRJwAuRR6+2vsrvt/+ezyz4DFOCU/JdjphgJOCFyJOMm+HGlTdSF6xj+aLl+S5HTEAjcT94IcRR+O2W37IjvIPbLryNgCeQ73LEBCRn8ELkQcJOcOcbd7Kkagnn15+f73LEBCUBL0Qe3P3W3bQn2rnu5OvkwqoYNRLwQhxnu3t381/r/osPzvggJ1efnO9yxAQmAS/EcaS15vuvfB/LsPjaKV/LdzligpOAF+I4er7peV5sfpEvLv4iVQVV+S5HTHAS8EIcJ0k7yfdf+T4zi2fyqXmfync5YhKQYZJCHCf/te6/aI42c8/77sEyrHyXIyYBOYMX4jhoijRxz7p7uKjxIk6rPS3f5YhJQgJeiFHWd2HVUAZfX/r1fJcjJpHDBrxS6l6lVJtSat0h9iul1K1Kqa1KqTeVUjLuS4gBHtzwIM83Pc+XF3+ZmsKafJcjJpHhnMHfB7zTwyE/AMzOTcuBnx17WUJMDK+3vc7Nq2/mXVPfxRXzr8h3OWKSOWzAa61fALreocklwAM6ayVQopSqHakChRivOhOdXP/c9dQGa/nuOd+VT6yK424k+uDrgD0D1pty2w6ilFqulFqtlFrd3t4+Am8txNjkuA7ffOGbhNNhfnzBjynyFuW7JDEJjUTAD3VaoodqqLW+S2u9VGu9tLKycgTeWoix6Y61d7CqdRXfPuPbzC2bm+9yxCQ1EgHfBEwdsF4P7B2B4woxLj208SF+8dYvuHT2pfz9rL/PdzliEhuJgH8C+ExuNM0ZQFhr3TICxxVi3Hlk0yPctOomLph6Ad86/Vv5LkdMcof9JKtS6iHgAqBCKdUE/CtgAWit7wSeAi4GtgJx4KrRKlaIseyxLY9x48obOa/+PG4+/2YsUz6tKvLrsAGvtb78MPs18KURq0iIcUZrzcObHuY/Vv0HZ9edzY8u+BFe05vvsoSQe9EIcSzimTg3rryRP2z/Q/+Zu8/05bssIQAJeCGO2s7wTr763FfZ1rONLy3+EssXLcdQcvcPMXZIwAtxFP6y6y98+6VvYxkWd77nTs6qOyvfJQlxEAl4IY5AZ6KTH732I57Y9gQLKxZy8/k3UxuUD26LsUkCXohhcLXLo1se5Sev/YS4Heeahdfw+ZM+LxdTxZgmAS/EYWzs2siNK2/kzfY3WVq9lBvOuIEZJTPyXZYQhyUBL8QhbOraxM/e+BnP7n6WUn8pN51zEx+a8SG5aZgYNyTghRhkc/dm7n7rbv64448ErSDLFy3nivlXUOwrzndpQhwRCXghcta2reWet+7huabnKPAUcPXCq7lywZUS7GLckoAXk5rt2qxoXsH96+9n9b7VlPhK+NLiL3H5CZdLsItxTwJeTEodiQ4e2fQIv9n8G9oT7VQVVPGNU7/BpbMvpcAqyHd5QowICXgxqWzs2sgv3/4lT+94moyb4dy6c/nWnG9xXv15WIbcHExMLBLwYsJzXIcXml7glxt+yautrxLwBLh09qUsm7eMxuLGfJcnxKiRgBcT1r7YPn637Xc8tuUxmqPN1BTW8LVTvsZHZ39U+tfFpCABLyaUeCbOS3tf4vGtj7OieQWudjmt5jSuO+U63tPwHjyG/MiLyUN+2sW457gOK5pX8PCmh1nZshLbtakKVHH1iVfzkVkfYWrR1MMfRIgJSAJejFvt8XYe3/o4j255lOZoM1WBKq6YdwXn1J3DydUny9m6mPTk/wAxrmiteb3tdR7a+BB/2fUXbG1zas2pfPWUr3Jhw4UyEkaMGCfj0tuZINKZRJmKqSeU5bukIyYBL8aFaDrK77f/nkc2PcLWnq2EvCGWzVvGx+Z+jGlF0/JdnhjH0gmbtl297NvZS09bgkhHgnBHgmh3CvT+dp++8UyKKwOHPI6dcUhEMjgZFzvj4mRcHNvBTmfXXUfjOtl52ZRCqqYVjfq/TQJejGnbe7bz0MaHeGLbE8TtOPPL5/OdM7/DxTMuJuA59P9sQgzFcVz2be9lz4Yumjd109MWJxHJ9O8vKPZSVB5gyqwSiqsKKKrw47FMnvnFOlY/vZOSqgCJaIZkNEOsJ0W0O0U6YWOnHdJJZ9h1LHlfw9gJeKXURcAtgAncrbX+/qD9FwC/A3bkNj2mtf73EaxTTCJaa17a+xL3r7+flS0rsQyLixov4vITLmdh5cJ8lyfGEa01HXuibF/bzo43O+hsjoIGpaCqsYjpJ1VSVOGnsiFE1bQi/IVDd/G9+mQhG19uAcDjNfAHLYIlPsrrCvEVWHi8BoGQl0DQwuM18XgNTI+BxzIwLROPZWCYKjcZ+AqOz7n1Yd9FKWUCdwDvBZqAV5VST2it3x7U9EWt9YdGoUYxibze9jp3vH4Hq1pXUV1QzbVLruXSOZdS5h9//Z8iP7Srad7Sw+ZVrbRsC9OzL45SUDOzmFMumkZVQxF1c0vwFQz/es1Hrz+ZZMymoMiL5TNHsfqRNZxfI6cBW7XW2wGUUg8DlwCDA16Io7Zm3xp++sZPWdWyijJ/Gf982j/z8bkfl4umYthat4fZ/no7W1bvI9qdwvKb1M4sYdG76pm1tIpA8OifvuUrsI7oF8JYMZyArwP2DFhvAk4fot2ZSqk3gL3A9Vrr9YMbKKWWA8sBGhoajrxaMeFs6d7CLWtu4fmm5yn3l3P90uv5+NyPS/+6OCzXcUnGbHa+1cHW19po3tiN62oaFpRz1kdn0XhSBZZ3/Jxtj4bhBPxQj6/Rg9bXANO01lGl1MXA48Dsg16k9V3AXQBLly4dfAwxibTGWrlj7R08se0JCj2FfOXkr7Bs3jIJdnFYvR0J3nq+mU0rW/ovkBZXBZi+uJLzPjmHgqKx+ZxcrTVuby92ZxdGYQFWdfWov+dwAr4JGPhRwHqyZ+n9tNa9A5afUkr9VClVobXuGJkyxUSRcTP84s1fcO+6e3G1y6fnfZprFl5Dib8k36WJMSwZy7B9bTstW3vYvGofWmsqpoZYenEjhSU+GhdVYJrGMb2Hdhx0On3glMngptPodGbAtgPbuP3L+9u4sRh2VydOZxd2VxdOZyd2VxfYNgDl11xD1de/NhJfmnc0nIB/FZitlJoONAOfBD41sIFSqgbYp7XWSqnTAAPoHOlixfi2uXszN7x0A293vs0HGj/Adadcx5TglHyXJcYQrTU6lcKNRnEiEaLNXWz82zb2rtuLSqfxmA4nTyukYU4Ir+ngbngVnU7T8afBwTx08B4QzJkD9+EMf5jj4Si/H095OWZ5OVZ1Nf758/CUlWOWl+EpL8d/wgkj9l7v5LABr7W2lVJfBp4hO0zyXq31eqXU53P77wQuA76glLKBBPBJrbV0wQgAYpkYt71+Gw9vfJiQN8SPLvgR75323nyXJUaRm0pht3fgdHdhd3bidHXjdHfh9EZwIxHcWBQnEsWNRHBiUdxItD/U+85y+5Tlpn7roOfJAeuGgfL5UF4vymthWN7c8oGTESzMzr1elGVltx/Q1sI1TDJARkFGa2ylsJUiA9iQ3Qc4hoGT29e/v28dcFwXx3EOmLTW6O5u3M5OTi0u5rzZB/Vij7hhDcbUWj8FPDVo250Dlm8Hbh/Z0sREsLp1Nd9+6dvsje7l43M/zpcXf1m6YyYAbdukd+8mvX07meZmMntbyLTkpr17cToP8Qe8aWIGgxjBIEYohFEYxCksI+mvIVrsIRIzSOPH9QcobawkVF9B3eI6QlPKciHuy4b4wPD2HD7GtNbEYjF6enroCYfp6ekhHA4TDoeJRqPZqbsb5zBn8UopLMvCNM13nCzLwu/3968bhoFSqn9eUVFxNF/2IyafZBWjIp6J85M1P+GhjQ9RH6znvovu4+Tqk/NdljgKdnc3iddfJ7VpE6ktW0lt3Up6xw50Zv8nQJXfjzVlClZtLf4TTsCaUounqgqzrAxPWRlmWRlmaRkZZdG6vZeWrT3s3RKmbXcvrq1BQfmUQmpnlTBjTinTTiw/4vHmWmsikQidnZ10dXUdNGUG1Avg8/koLi4mFApRUVFBYWEhhYWFFBQUEAgECAQC+Hw+vF5v/2RZFkoNNe7kCLguaPfYjjFMEvBixK1sWcl3Xv4OzdFmls1bxrVLrpXnnI4j2nVJrltH5C9/Jfrii6Q2boRcj6s1ZQre2bMoPPccfLNm45s1E6u+HrOk5KDgc2yXjqYoTRu7aHmxi562JsLtCdBgmIqqaSFOunAqU2aVUDOz+JCfIh3McRw6OjpobW2lra37z/rFAAAeb0lEQVSNnp4eurq66OzsJJ1O97czTZPS0lLKysqYPn06paWllJSUUFxcTElJCX6//9Bv4rroTIxUTzupth3EetrpCbdjx3vQqSikouh0DJWOoTJxsBMYTgJlJzHdFKZOY+o0Hp3GJINHZ/BgY2JjKE1r7Yep+cdfHfk35whJwIsR05vu5ebVN/PYlseYVjSN+y66j1OqT8l3WWIYdDpN7JVXifz1L0T/+ix2WxuYJgUnn0zF//kyhaedhn/ePIzCwiFfH+9NE25P0NkcpXVbmNbtYcIdif4B1aU1BVTUh5h7eg1TZpVQNb1oWGPUHcehra2NpqYmmpqa2LdvH+3t7f1dKYZhUFJSQmlpKQ0NDZSXl1NeXk5ZWRnFxcUYbgZi7RDrgGQPJFthRxPEu9CJLuyeVuzeNtxoByrVi+Ek8eg0HmWjAH9uOtzzvzKugY2FjSc3z05JFcRRXmzDi6MsXOVFGx4C1UuH/b05FhLwYkQ8u/tZvrvyu3Qlu/jciZ/jCyd9Ab/nHc6QxJhgd3fT/dBDdD/4a5zOTlQgQPCccwi9590Ezz8fs+Tg6yWde6O0747Q2RSloylKZ3P0gBt2BYq81M4oZs7pNZRWF1A3t3TYY9MTiQRNTU3s3r2bPXv20NzcjJ1J4yNFacCkvjzIKScEqQxZlBWYBD0ORioCyb2QDMO2MKwP58I8DL17QR/cr+5qRdL1kLQ9JB0PCcfCNvzgrUD5ghj+IoyCYsyCYjyFpXhCpXiLKvAEy/AUlmAUFGfn/iKUtxDLMBmLn3OVgBfHpCPRwfdf+T7P7HyGuaVzue3dt7GgfEG+yxKHkd65k8777yf828fRySSF551L6Sc/SeFZZ2Hkui601oTb47RsDbNvRy/d+2J0NsVIxrJhbloGZbWFNC6soLwuSEmFSWlRgpCvFxXfB7H12bPnVX1n0GGYcQEUlEM6ipuMEOveR6y7jURPG6lIF6R68ZFiPilONW0CpPCQQKGz4/OactNgviLwF4O/GO0rIukpJemvIGotoKUtTktLJ0nbIO14SPkqKZ46i8qZMymbUk9RVTU1DY0UlpSO+tdd2y5OLIMyFeYx3DphuCTgxVFJO2ke2fQId755J/FMnGuXXMuVJ14p944Z4+zOTtp+eDPhxx9HeTwU/d2HKb/ySnyzZxPpSrJtXZjWbbtp25W9N3oymg1zb8BDSXUB0xeVM6UqTG2tTSi8CqNnJ3TvhLdboGv70BcPTS+6oBydSWJs/EP/ZgMIAQFMMlg4nkIoDGIGq/AWVWEWlPaH9qEm7Sumu6uXPRvW093aQsfunezdvJFMMgE4oOJUT59F47s/Rt0JC6icNp3CktJjv1A6gHY0biyNE8ngRrNzJ5rGjWZwIun+bW40jRvPDgENXTCV4osaR6yGQ5GAF0fEdm2e3P4kP137U/bG9nJ67en8y2n/woySGfkuTbwDbdt0P/zftN92G24shvfvLyd93kfZ2uPhpUfDdLc+TyZ3P3OPZVA5LcSMkyqonFZE7cxiyqxm1Cs/h83PZPuw+xRWQWkjVM1Hn/BhEv4qIq6P7rSHzqTBvqhLezhBe0cHrp2img6Ux09JdT0VtY1U1jdSWz+NsrIyDGPoT6Jqrelt30e4bR+9rW20bH2Tfdu3Ee/tIRmJkEklATAti7Ip9cw/9wIaFi6matoMgmXleLxHd6astUYnbOyeFE44hRNO4/QOmPem94f2EJ/6UZaBEfJihrxYlQGMGcWYIS9G0MJbHzqqmo6UytfnkZYuXapXr16dl/cWRy7jZHhyx5Pc89Y97OzdybyyeVx3ynWcNeWsfJcmhuC6mlhPit72BD3PvYj74B142nYTrpzHhsbLiBfWAGD5TCobQpTXBymuCFA7q5jy+iCmtmHzH2Htr2HbX8FJo60CnMbziVafTtT1ss/bSFvCoKuri+7ubroHjSPvuwBaVlZGZWUltbW1TJkyZcgw11oTD/cQbmslvK+VSFcnkc52ulv2sm/HNpKR/ruh4CsopHrmbEJl5fgKg5RNqWfawsUUV9cc1Zm5tl0y++LY7XEy7Qns9jh2ewK7M4lOD+q/V2RDutiHGfJihiyMYHZuBr3ZQA9mtxmjdFthpdRrWuthXaWVgBfvqDXWym+3/JbfbPkNbfE25pTO4YsnfZELGy4c0T9zxZHRWpOMZujtTBLpTNLbmaCnNU64PUGkK0msO0Wgt4mZ2x+nouttEoEKWk+9HM9p51HZUERZXSFF5X6KqwowjOz30bUzJNc9ib3lr1hNLxMIbyVhlbKrYBE9GYtVqVl0OwfeDM7r9fYPReyb9y0XhUKkkwmSkV4S/VOERG+YeG+YRG8v0e5OIh3t9Ha2Y6dSBxzbV1BIcXUNVY0zqZk5m7IpdRSWllFaMwV1iLP9w37dXI3dHifdFCXdFCHdFCXTEgU7l4MKzFI/VmUAT0UAs8SPWeLFLPbhKfZhBL0oM78/9xLw4ph0Jbt4peUVntz+JC80v4DWmjOnnMkV86/g7ClnS7AfB47jEutJEetOEenOhnikM0mka/+ynTmwvzsQsiip9FLRvYHiTc9jbViFKghS9NnPUXPNlZgBP67rEg6H6ejoyE7tbSTad1Hd8TInJV6ihF5sTOIE+BPnsSNwEsWl2SGHRcEgfsuDpcDSGsPN4CQSpGLR/gBPRiIkohGSkV6S0Sj6EB/oMT0eAkXFBEvLCFVUUlRRSXFVDcXVNRRX1hCqqMDrP7Y7i2qtcbpT+4O8KUK6OYpOZc/KldfEqgvinRrEWxfCqinAUx5AeY7tpmWjTQJeHJF4Js6atjWs3LuSVa2r2Ni1EYByfzkfmf0RLp19KfWh+jxXObForentSNLZFKWrNUa8J0UsnCbanSTanSIeSR/Ur+svtAiV+/dPZbmp3I+vu4nE078n/Pvf43R0YJaXU/ChD5G46P3si8Vob2/vnzKZDNW0s4gNLGIzISIAdAXnsrvi3XSFTsLNZHCjEWJdHUTa2+jtaCcVjw35b/FYXvyhEIFgCH+oiECoiEAoRCBUhD9YRKCoiEAwt57b7w0ERvxEQTsumb0xUjvCpHb2kt7Vi5sb8YOpsGoL8daH8E4N4a0P4qksQBnj72RFAl4ckqtddoZ3sq5zHes61rG+Yz1vd72N7dpYhsXiqsWcUXsGZ9Sewfzy+XgMuQ4/UuK9afa83Unr9l52vNlBrGd/l4SvwENBsY9QqY/CUh/BEh/BUn92udRHqMyP17//e6G1JrllC+1/fIbYn/8MW7agDYOe2bPYNXMm20tKMNwEIaJY2Ezxp2n0h6m3dxFMtWJlenExaDOnsSteSWdvhg0dhQx8/IM3UEBRZVV2qqgkWFZBsLSMwtIyCoqK8QdDBEIhLN/x+7yD1hqddrIjVKIZnO5kf3dLpjmKzv1VY5b78U0rwtsQwlsfwqopHPNn5sMlAS+A7P8MLbEW1nWsY11nLsw73yaaiQIQ8ASYXz6fRZWLOKPmDJZUL5EHboywtl3ZMN+9rpO23RHQ2QubU+aUMH1RBRX1IcqmFL7jfVfsrm7aX19D95tvkti0Cb1rF97WVqxEdvRIqtSH3eijYLpLcdDFa0LQDRNItR9wHI2i2ylhT6+fSMbL2u5aCmumU1I7hVB5tpukevosQhUVBMvKj7mLZLi0q3ET9v7hhH1DDmO5YYaxbJi7uWU9qGsKj8I7JZg9O28swtdYhFnkOy6158ORBLycnk0gsUyMN9rf4I32N7Kh3rGOrmQXAB7Dw9zSuXxwxgdZUL6AhRULmV48HdOY3I80Gw3ppE2sJ8Xav+7h7Rf3ohRUTy/itA9NZ9qJ5VRODe3vGtAaUr3oXRtwmreS2rqZxJbtxHY0kWnpwe5MobM5jgKCHhdvsY2vJkOgPENwShKrwEWbXuxAFUntJ+NAR6aU3Z0hepIWGdckblt0G9XUzJlP3eJ5TJ19AqfMmEkgOPLD9bSjceO5gI5l5248gxvN4Mbt/duiGZxYNrQZqqveAKOwb1SKhVVRjBHMjVYJWtntRT6sqgDqGB/2cdC/QWtijkuP7RC2HXoydnZuO0Rth4wGR2syrsbW2SmjdXabBnvQ9r5l2wVba/6uqoRlU8pHtOahSMCPY62xVta2rWVN2xrWtq1lU/cmXO2iUMwonsE5dedwYsWJLKxYyJzSOXjNsfkos4mkoynC7297g3g4DQoWv2cqJ180jYDqhZ0vQss+WLcFe+d6EpubiO+OkGg3SYUt3Mz+kFKWxizSeOotPJUBfLUlFEyfQmFDI56CYtxQLZ0ReH3bHpp37KFlZxuJaLaP3PL5Ka2to/akOcxacFL2AmZ1DYFQ0bD7vbXW6IyLTti4STt7hp2wcZMOOp7BTTr7tyXsbGDnAl0n7EMeV/lNzEILo9DCLPXhnRrCyAX4AcEd9GIEPMfUR/5OIR3OZLd157Zl9+fmtk2v7fQPrBkOSyk8SmEZ4OlbVgpz4HzAvvRx6jmRLppxwnEdtvZs5fW213m97XXWtq1lbyz75MSAJ8CiikUsqV7CksolLKpcRNAbzHPFk4fWmpZtYdY918S2Ne1UhtpZNK+LuuK9FNq70dtfIrW3i3iHl0SHl0Snj0w0+5eTNiBd6qO3tIhYWSXmjDkULj6NmoWLqK+vx+fLdjWk4nFaNm9gz4Z17N28gY49u0lGejFMk5qZcyirm8qMJUtpWLgYX0H2zp3acfeHcn9A7w/lIcN7QDucd84G5TUwAp7slAtto9DCKMiF9MDlAgujwHPE/eDDCenssk3PEYa0ARR7TIotkxKPh5LccrHHzC3ntnlMSnLbiz0mIY+Jtz+0s/PjSfrgJwCtNTt7d7KieQUv732ZtW1r+/vOKwOVLKla0j/NKZsjtwjIg0Qkzc7X99D+18cIxDZR6dtNVWEr3sgeEh0WiU4fiZ4QiXbV32/shIK0l5XRWlpKd1UVZaeeyrxFi2hoaKCkpAStXRK9vXTs2cXezRvYu3kjHbt2EO8JU2AWEfSWUFnTSElJNeXVDZSUVKMyKhvK8cwBwa3Th7nnuKmy4ezPhrQKeDD8Zn9oq9z2g9rk2g3uFtFak3SzgRx3nNw8O8Ucl5jjEHddYnZ2Pe4O2D64neMStp0jCulsMHtygf3OIV1ieQiaBsYIhLPrajKui+1obCe7nHGy6xnHzXbXOBqN7rvrMhVBHzXFR3dxWgJ+nIpn4rzS+gormlewonkFzdFmABqLGjm15tT+QK8L1slY9OMlHYNwM4T3oMNNpPftIrV3B077dryJXRTQTarXQ6LTTzxSRrLdJN2ZGx3jMTFmzCRcU8MOr8WuQIBUKMScuXOZP38+dVWV9OzdQ1fTHrqamojsaiPVHiFAIYVWMYWeEooLqyj0FGE5Q3ev7T+Lzp0hDwrkwaE8MLzxKOKu7j877s5kz3qjA4J5f/Bmw/ng7dl9fWF+JI+x8BmKQtOgwDQoMEwKTWP/umlQ5DkwkEs8JiHDwK8UfsCnwXA0aVuTzDgkMy7JjEMi4+TWB2/LBa/rknE0tpOd94VwXyjbrks6t78vsPvCOpPbPzC8HffIM/Tz58/knz9wdM9llYus44TWmm0923hp70u82Pwia/atIeNmCHgCnF57Op878XOcNeUsGYM+WjIJ6NkDvU3QvQsSXZCKQMcW6NmFDjejEl39zRWg4h5S3SVEO4qwI1U47SF0KtvnbJYV4T/pJNzGRvYUBHgjHiecSGAYBvW1U1jgK6Q0pjF2pOh+dQXhJBR6iinyFFNtLs7+0q7MvpdWYBZ7scoCmKV+PGV+zFIfnhJff9eHETiwyyNiO+xNZWjNTT22TU/GocdOE7YT9IRtejqzXRvZULeH1c/sNxR+Db6MxqcVXldjOWC6mpCjKXY02BrlaEw0ygVDZyc02ScYOdkzXe26uE72oSLZMM0FqavpcTUducB0XDc3z17MdFydff0xfLsNRf8Zu1KgUNm56hscml3v/16rvqXcf/v3uRhK4/f0/QNh4IcW9p8zZ+vVud16wL5wZBcw+g/eloA/zlJOilUtq3huz3OsaF5BS6wFgFkls1g2bxnn1J3DkqolckH0aGmdDeloG0RbIdKaW96XvUd4987sFG2HzMEf3NGYRI16eiLlhNvnker14EZcPMkU3lgYI579UBAqhXfmVALvW4hunEVHURnbkjG27ttFMhHHTCSppYh56WqmZSoJxYsOfB+Pi1OmodiLUV6IU1qAE/KSDnpIFniI+Qx6nOyZdW/GIey4RNJRoi1hoq5LxHHp0S5h7RJBE0GTGeqPOq2xNFguWI7G44LpaLy2ptp2MWydvWCazPbBO0kbO+Pi2BrXdvtDNZmbRlpfuCqlMHKha6j966aRvUhpGKo/oPsnI7tu5vabRt8y+5cVmIbGUDp3X3iH7JAdB6UddPYR2SjtADZaOyhstLZB20B2rnXfY7ezDwJRaJTKprWBC2r/tuy3Ifee6Ny/T2dveZxrM798+ih8NQ8mAX8chFNhXmh6gWd3P8tLe18iYSco8BRw5pQzWb5oOefUnUNN7uZPYhCtIR2FRA8ke9CJboj3oGPdkIxCeE92irWhYm0Q34eyE/0v1bbCdRR2xsJ2CknbRcQzlWRSDWTSXlzbSyblx00pVDqNEe/EiLag7FZMoADAW4AqrsGpnk8iVEmkpIyu0hK6vQ7tRi+J9l3QvgtLmzS4FdTZpQTcAJ1ezd4AvFns0GL1stfy0eL10mEqIoaB6zHQHsCTQDtJiBnolAFhBYe7GOlqSDmohI2RdDBTLoGUgyel8dgay3ExHfBo+oNTo3E1OLmz5qTjkrazQ/sGs0xFyGcS8puUBKC0AIr9ELA0AQv8HijwugQsRYHXIeCBAsvF49F4lYvH1JiGi8fQWKbGMlw8Jtm5oVHKRWsnF6QuWtvo3NzVdv++7DyTnbv7t7tuGsdN4rpJXCeJ46YGLCdxc+t6iId9HIppFmKahXg8hQOWg9m5WYjpKcQ0S/uXPbk2huFFKQvD8KDU/skwLJQyc+uD9x+fa2bDCnil1EXALYAJ3K21/v6g/Sq3/2IgDlyptV4zwrWOK83RZv62+288u+dZ1uxbg6MdqgJVfHjGh7mw4UJOrTl1/1m662b7ejMJMDzZ3/Oui+tk0I6N69ho18HNpHBTSZx4HFJJ3HQKN5VCp9O4qSQ6Y6PTKXQmjZuxIZNGOw44TvYZk7ll7ebWXQcct3+fdt39be1cO1v3t9O5fThutm1uyi7r3HpurgfOdfaeJK4GrVG5fUq7oJ3c3M1uP2ieC5++Ra1y8/3rrjbQKLRWoMuzc1ejnKF6hNNA8wFbPIDtsUj7/CQKg0QapxMpLqa3KERPUZCo34tjmCS8PhKWl4TlI2lZpM0gabOCpMei1/LT6/MT8wdI+/3oocZla50dmWJrPLaLzwGvo7NTGqyEi+U6mI7GdEE52W4P13HRtsa2XZxcv3Aq45Cys/3L7v4vEZnclDjEz6XX1JQGHGqL0pQVxCn1xyjx9VDi66HYaqfYaqPI245HRdA6fYijDDLoTXPnvcdEqYHhaKKUiTFwm2FhGn4M04dpFmB5yzAMX26bH8PwYxo+jNy6aRbgMYMHBPOBYV6AUhPjk64DHTbglVImcAfwXrLPUnlVKfWE1vrtAc0+AMzOTacDP8vN8851c39qOhrHyc1tF9fW+7fZmne62Dxwl9Ya27GxMxlSmRS9iU66enfQEd3FzsRWdqd205JpJ2LH8WWgIeHhHyImi6JQn9yHmfk1hv0AbbaLsh2UrVG2xrUVrq3QttG/7NoK7WTPQLWj0G4+L6zq7J+hClA6N6f/T9P+5UH7+9aBA16jlULn5q4ysnPDwFUmbv+ygaMMbOXBNkxsZZIxTGzlIWNkt6WVJ/t6w0ArcHNzxzDIeCzSXouUZZH0eklZXpIeL0mvj6TlJeH1kbR8RPwFpDxebCP74AlbecjgwTay84zKbtvf3aqhL4AzDlbSxnIcLDdJqY5jui6mq9GOxrYVGVuRcRQp+8APlbkcuuvDZ2bwezL4zTR+Twq/J0XQTGFZKbz+FF4jiddM4TXTeI0MXjOTW05n52Ymt7x/e9Abx28mc33LHkwjhGmEMIwQphHEMEIYai6GOgnD8KOUH0MFMJQfpXzZYMUDykBhAtngBSM3z65n9x24DXKv6duvDBQeFMZB27KvHYGfdU22R8bZ//V2yf4uOpAN9B60dTQFS3wUVYz+J4WHcwZ/GrBVa70dQCn1MHAJMDDgLwEe0NmUXKmUKlFK1WqtW0a64B999YMsWbU928+lB945oz9HhrXc/zo9xPLgNrnXHbQv9+dvpYYqDYtt8Bx00rj/T8T9dx7Z/2V3TAPbY5LxmNgeD7Zp4HhMMj4PtmlimyYZc8Cy4SFjZifHMPqDLht++7dlDBNHmTiGgYOJowwcFK4ysdX+8HRyyzbZ9oP32crEwUBj4GLgonBzKe32T9kz6P3LHLSt7zVjQjo3DX3vrAFcII0ifcjnbXqNNFZfmBqZ3HIGy8gGq9+bxG+m8Bsp/EYyOx+07utbJoVfp/C5aQxX7z8VtkHZKvujlCI7twFb7W/jDGo74LX7JwVpK3umbQPEcIjh0DpE6InRtGFeGV+496VRf5/hBHwdsGfAehMHn50P1aYOOCDglVLLgeUADQ0NR1orALbHT1f5/jMhPeA3vYb+DOnPdKWG3ndAu+yVnv2vOXC5r3H/CZxS/dfWDW3mzjq8aCNIwhMkagWIWAWEPUHilp+0ZZEyLVJei7THIu0xSVvZZd13Bsz+izOqryqts2fDA/frAfs5cLn/gs5By0O1HTDX2Rg2VRrPgPfuPzPXQ7xe544/oJ4Da8zVP3CbHvBv1IPep69933v1LWsAd/9rtcbQ2fEJSuvsL1498PUDt7korTBdG49j43FtTNfGcjJ4XBuPk8GT6ypSuS4hQ2sMV6O0i6H75m7ufTWGm23ncbPHUwN/mEZAEoMko3TzLgX4cpPIq0jg+DzRaTgBP+S1+aNog9b6LuAuyI6DH8Z7H+QbP3j0aF4mhBCTznCuKjQBUwes1wN7j6KNEEKI42g4Af8qMFspNV0p5QU+CTwxqM0TwGdU1hlAeDT634UQQgzfYbtotNa2UurLwDNkh0neq7Ver5T6fG7/ncBTZIdIbiU7TPKq0StZCCHEcAxrHLzW+imyIT5w250DljXwpZEtTQghxLGYeCP7hRBCABLwQggxYUnACyHEBCUBL4QQE1TeHvihlGoHdh3lyyty876Pg0UGLA9eH87yaL5Gji3HHo/1yLFH99gRoIOjM01rXTmchnm7XfBwCxyKUqrvUVB9x9gxYHnw+nCWR/M1cmw59nisR449usfeMdynMh0L6aIRQogJSgJeCCEmqPH6RKe7cvNzc/MXBywPXh/O8mi+Ro4txx6P9cixR/fYL3Ic5O0iqxBCiNElXTRCCDFBScALIcQEdVz74JVS9wKfIXtXyqH0PXxMnjkjhBCHNldrvflwjY73Rdb7gHaytxMuBaJAkOwToRyyD8EMA4HccjAPNQohxPGk6X84Zv8yA+bOgLZdQNlwD3xcu2i01i8APyP7KS6XbLFurg4P2X9cQW59y8CXHs86hRDiKBxtTvW9zgUyA6ahpI/kwGPx7Dj7tOTsx3ldDvyNJoQQY9XR5tTAE+2+7usROakdCxdZ+2ro+43VA+wDpgFeJNyFEJODSTbvFNCb29Z9LAccKwGvyJ6tW0Ah2XAP5LMoIYTIA0021Pt6MOL/v53zx2krCOLw91BOkNJS+pS5QU6RwgUH4ASpOEBOwBEiRdRRahqoLSro+CNRYEWOENgYeyh2Rh4vNhABlvX4fdLq2X6zv5ndnV0/Pa/fS8TWYYGPK/QNyjfYR7SLRgjxPvlLucj9zSvcplnpP1mbpvkJfGP5NkkhhBBPY8CRmX1+zGjVu2i6ZvbBzBoza4Bt4BDY9+Opv/4FdBfYDSj36keUZyn3Kb8qX3uxqlwAe0DHNc6YbceMMnHNKz9OU/0pZW9+H9jyWHbd1yTZht2txzasdML2GOg8QydiqeO5eySesZ8LnWH6LPxY5euiimewpH+if0P/Of0z5mG7RqldOdY41jr9qi9D5y6NWe4fS36+pPzZAc7d/p/XoWrHJOmGn2H6/DLpfU3jmjH3Ebr1jodh6ACfKLkZ+lkjt2VanYPZmOY5kX1Ge6YL6kfpeRybrjFifnwX5VCuP6bk8x7wgzJno2/DZsQsb3IOZh9XzI/5ILUhbMYeS8yvfG5ZLp+mmHMu1zo53luP9Xsa67M0DnVMMU8vk801cOPtqHOwBxwAJ17i/Z+w+4+y8dTiDnoWjRBCtJZ1uAcvhBDiDdACL4QQLUULvBBCtBQt8EII0VK0wAshREvRAi+EEC3lHhdq+x3W6RfDAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i,p in enumerate(place) :\n",
+    "    plt.plot(dates, cases[i,:], label=p)\n",
+    "# On ne montre pas toutes les dates pour plus de lisibilité\n",
+    "\n",
+    "plt.show()"
    ]
   },
   {