no commit message

module3/Sujet7_StatCOVID19/AnalyseCOVID19.ipynb

@@ -2,7 +2,10 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "hideCode": true,
+    "hidePrompt": true
+   },
    "source": [
     "# Analyse statistique des données liées à l'épidemie de COVID 19"
    ]
@@ -10,7 +13,10 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {},
+   "metadata": {
+    "hideCode": true,
+    "hidePrompt": true
+   },
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
@@ -21,10 +27,36 @@
     "import urllib"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hideCode": true,
+    "hidePrompt": true
+   },
+   "source": [
+    "Dans ce fichier, on s'intéresse à l'évolution du nombres de cas de COVID 19 dans les pays suivants :\n",
+    "    - la Belgique (Belgium),\n",
+    "    - la Chine -sans Hong-Kong (China),\n",
+    "    - Hong Kong (China, Hong-Kong),\n",
+    "    - France métropolitaine (France),\n",
+    "    - Allemagne (Germany),\n",
+    "    - Iran (Iran), l’Italie (Italy), \n",
+    "    - Japon (Japan),\n",
+    "    - Corée du Sud (Korea, South), -\n",
+    "    - Pays-Bas métropolitain (Netherlands), \n",
+    "    - Portugal (Portugal),\n",
+    "    - Espagne (Spain), \n",
+    "    - Royaume-Unis métropolitain (United Kingdom), \n",
+    "    - États-Unis (US)."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {},
+   "metadata": {
+    "hideCode": true,
+    "hidePrompt": true
+   },
    "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\""
@@ -32,8 +64,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
+   "execution_count": 15,
+   "metadata": {
+    "hideCode": true,
+    "hidePrompt": true
+   },
    "outputs": [
     {
      "data": {
@@ -1805,7 +1840,7 @@
        "[271 rows x 327 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1814,25 +1849,48 @@
     "path_to_file = \"DonneeBrute\"\n",
     "csv_file = \"donnee_JohnHopkins.csv\"\n",
     "if os.path.exists(os.path.join(path_to_file,csv_file)):\n",
-    "    raw_data = pd.read_csv(os.path.join(path_to_file,csv_file))\n",
+    "    raw_data = pd.read_csv(os.path.join(path_to_file,csv_file), skiprows=0)\n",
     "else: \n",
     "    if not(os.path.isdir(path_to_file)):\n",
     "        os.mkdir(path_to_file)\n",
     "    urllib.request.urlretrieve(data_url, os.path.join(path_to_file,csv_file))\n",
-    "    raw_data = pd.read_csv(os.path.join(path_to_file,csv_file))\n",
+    "    raw_data = pd.read_csv(os.path.join(path_to_file,csv_file), skiprows=0)\n",
     "    \n",
     "raw_data"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "hideCode": true,
+    "hidePrompt": true
+   },
+   "outputs": [],
+   "source": [
+    "data = raw_data[raw_data['Country/Region'] == 'Belgium']"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "hideCode": true,
+    "hidePrompt": true
+   },
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
+  "hide_code_all_hidden": true,
   "kernelspec": {
    "display_name": "Python 3",
    "language": "python",