update mar 16

paaatcha · Mar 17, 2020 · 78b782e · 78b782e
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diff --git a/README.md b/README.md
@@ -5,7 +5,7 @@ On March 11, 2020, the World Health Organization (WHO) declared the Covid-19 (a.
 
 For Portuguese speakers, I wrote a post in my blog about this analysis: [O que os dados dizem sobre o Coronavírus?](http://computacaointeligente.com.br/coolstuffs/analisando-coronavirus/)
 
-## Some plots and tables got during the analysis (updated on March 15, 2020)
+## Some plots and tables got during the analysis (updated on March 16, 2020)
 ### Covid-19 worldwide (without China):
 ![covid-19-wo-chinha](figures/en/conf_cases_worldwide_no_china.png)
 
@@ -16,16 +16,16 @@ For Portuguese speakers, I wrote a post in my blog about this analysis: [O que o
 ### Top 10 infected countries
 | Country/Region   |   Confirmed |   Deaths |   Recovered |   % Deaths  |    % Population |
 |:-----------------|------------:|---------:|------------:|------------:|-----------:|
-| China            |       81003 |     3203 |       67017 |    3.95417  | 0.00581613 |
-| Italy            |       24747 |     1809 |        2335 |    7.30998  | 0.0409506  |
-| Iran             |       13938 |      724 |        4590 |    5.19443  | 0.0170391  |
-| Korea, South     |        8162 |       75 |         510 |    0.918892 | 0.015807   |
-| Spain            |        7798 |      289 |         517 |    3.70608  | 0.0166896  |
-| Germany          |        5795 |       11 |          46 |    0.189819 | 0.006988   |
-| France           |        4513 |       91 |          12 |    2.0164   | 0.0067371  |
-| US               |        3499 |       63 |          12 |    1.80051  | 0.00106948 |
+| China            |       81033 |     3217 |       67910 |    3.96999  | 0.00581828 |
+| Italy            |       27980 |     2158 |        2749 |    7.71265  | 0.0463005  |
+| Iran             |       14991 |      853 |        4590 |    5.69008  | 0.0183263  |
+| Spain            |        9942 |      342 |         530 |    3.43995  | 0.0212783  |
+| Korea, South     |        8236 |       75 |        1137 |    0.910636 | 0.0159503  |
+| Germany          |        7272 |       17 |          67 |    0.233773 | 0.00876906 |
+| France           |        6650 |      148 |          12 |    2.22556  | 0.00992726 |
+| US               |        4632 |       85 |          17 |    1.83506  | 0.00141579 |
 | Switzerland      |        2200 |       14 |           4 |    0.636364 | 0.0258321  |
-| Norway           |        1221 |        3 |           1 |    0.2457   | 0.0229756  |
+| United Kingdom   |        1551 |       56 |          21 |    3.61057  | 0.00233272 |
 
 ### Comparing confirmed cases around the world
 

diff --git a/analysis.ipynb b/analysis.ipynb
diff --git a/data/clean_data.csv b/data/clean_data.csv
diff --git a/data/raw/Confirmed_cases.csv b/data/raw/Confirmed_cases.csv
diff --git a/data/raw/Deaths_cases.csv b/data/raw/Deaths_cases.csv
diff --git a/data/raw/Recovered_cases.csv b/data/raw/Recovered_cases.csv
diff --git a/figures/en/conf_cases_countries.png b/figures/en/conf_cases_countries.png
diff --git a/figures/en/conf_cases_in_USA.png b/figures/en/conf_cases_in_USA.png
diff --git a/figures/en/conf_cases_in_brazil.png b/figures/en/conf_cases_in_brazil.png
diff --git a/figures/en/conf_cases_in_canada.png b/figures/en/conf_cases_in_canada.png
diff --git a/figures/en/conf_cases_in_china.png b/figures/en/conf_cases_in_china.png
diff --git a/figures/en/conf_cases_in_france.png b/figures/en/conf_cases_in_france.png
diff --git a/figures/en/conf_cases_in_germany.png b/figures/en/conf_cases_in_germany.png
diff --git a/figures/en/conf_cases_in_iran.png b/figures/en/conf_cases_in_iran.png
diff --git a/figures/en/conf_cases_in_italy.png b/figures/en/conf_cases_in_italy.png
diff --git a/figures/en/conf_cases_in_span.png b/figures/en/conf_cases_in_span.png
diff --git a/figures/en/conf_cases_worldwide.png b/figures/en/conf_cases_worldwide.png
diff --git a/figures/en/conf_cases_worldwide_no_china.png b/figures/en/conf_cases_worldwide_no_china.png
diff --git a/figures/en/conf_early_cases_countries.png b/figures/en/conf_early_cases_countries.png
diff --git a/figures/en/deaths_in_USA.png b/figures/en/deaths_in_USA.png
diff --git a/figures/en/deaths_in_brazil.png b/figures/en/deaths_in_brazil.png
diff --git a/figures/en/deaths_in_canada.png b/figures/en/deaths_in_canada.png
diff --git a/figures/en/deaths_in_france.png b/figures/en/deaths_in_france.png
diff --git a/figures/en/deaths_in_germany.png b/figures/en/deaths_in_germany.png
diff --git a/figures/en/deaths_in_iran.png b/figures/en/deaths_in_iran.png
diff --git a/figures/en/deaths_in_italy.png b/figures/en/deaths_in_italy.png
diff --git a/figures/en/deaths_in_korea.png b/figures/en/deaths_in_korea.png
diff --git a/figures/en/deaths_in_spain.png b/figures/en/deaths_in_spain.png
diff --git a/figures/en/deaths_worldwide.png b/figures/en/deaths_worldwide.png
diff --git a/figures/en/deaths_worldwide_no_china.png b/figures/en/deaths_worldwide_no_china.png
diff --git a/figures/en/early_cases_conf_brazil.png b/figures/en/early_cases_conf_brazil.png
diff --git a/figures/en/early_cases_conf_canada.png b/figures/en/early_cases_conf_canada.png
diff --git a/figures/en/mortes_in_china.png b/figures/en/mortes_in_china.png
diff --git a/figures/pt/casos_conf_EUA.png b/figures/pt/casos_conf_EUA.png
diff --git a/figures/pt/casos_conf_alemanha.png b/figures/pt/casos_conf_alemanha.png
diff --git a/figures/pt/casos_conf_brasil.png b/figures/pt/casos_conf_brasil.png
diff --git a/figures/pt/casos_conf_canada.png b/figures/pt/casos_conf_canada.png
diff --git a/figures/pt/casos_conf_coreia.png b/figures/pt/casos_conf_coreia.png
diff --git a/figures/pt/casos_conf_espanha.png b/figures/pt/casos_conf_espanha.png
diff --git a/figures/pt/casos_conf_france.png b/figures/pt/casos_conf_france.png
diff --git a/figures/pt/casos_conf_iran.png b/figures/pt/casos_conf_iran.png
diff --git a/figures/pt/casos_conf_italia.png b/figures/pt/casos_conf_italia.png
diff --git a/figures/pt/casos_conf_mundo.png b/figures/pt/casos_conf_mundo.png
diff --git a/figures/pt/casos_conf_mundo_sem_china.png b/figures/pt/casos_conf_mundo_sem_china.png
diff --git a/figures/pt/casos_conf_na_china.png b/figures/pt/casos_conf_na_china.png
diff --git a/figures/pt/casos_confirmados_paises.png b/figures/pt/casos_confirmados_paises.png
diff --git a/figures/pt/mortes_china.png b/figures/pt/mortes_china.png
diff --git a/figures/pt/mortes_mundo.png b/figures/pt/mortes_mundo.png
diff --git a/figures/pt/mortes_mundo_sem_china.png b/figures/pt/mortes_mundo_sem_china.png
diff --git a/figures/pt/mortes_na_EUA.png b/figures/pt/mortes_na_EUA.png
diff --git a/figures/pt/mortes_na_alemanha.png b/figures/pt/mortes_na_alemanha.png
diff --git a/figures/pt/mortes_na_brasil.png b/figures/pt/mortes_na_brasil.png
diff --git a/figures/pt/mortes_na_canada.png b/figures/pt/mortes_na_canada.png
diff --git a/figures/pt/mortes_na_coreia.png b/figures/pt/mortes_na_coreia.png
diff --git a/figures/pt/mortes_na_espanha.png b/figures/pt/mortes_na_espanha.png
diff --git a/figures/pt/mortes_na_franca.png b/figures/pt/mortes_na_franca.png
diff --git a/figures/pt/mortes_na_iran.png b/figures/pt/mortes_na_iran.png
diff --git a/figures/pt/mortes_na_italia.png b/figures/pt/mortes_na_italia.png
diff --git a/figures/pt/prim_casos_conf_brasil.png b/figures/pt/prim_casos_conf_brasil.png
diff --git a/figures/pt/prim_casos_conf_canada.png b/figures/pt/prim_casos_conf_canada.png
diff --git a/figures/pt/primeiros_casos_paises.png b/figures/pt/primeiros_casos_paises.png
diff --git a/get_data.ipynb b/get_data.ipynb
@@ -18,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,26 +35,217 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "- Downloading Confirmed ...\n"
+      "- Downloading Confirmed ...\n",
+      "- Downloading Recovered ...\n",
+      "- Downloading Deaths ...\n",
+      "- Done!\n"
      ]
     },
     {
-     "ename": "NameError",
-     "evalue": "name 'urllib' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-2-dd4935cb1b7b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0murl_key\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mURLS\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0mprint\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m\"- Downloading\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murl_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"...\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m     \u001b[0murllib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murlretrieve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mURLS\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0murl_key\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'data/raw/{}_cases.csv'\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     12\u001b[0m \u001b[0mprint\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m\"- Done!\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'urllib' is not defined"
-     ]
+     "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>3/7/20</th>\n",
+       "      <th>3/8/20</th>\n",
+       "      <th>3/9/20</th>\n",
+       "      <th>3/10/20</th>\n",
+       "      <th>3/11/20</th>\n",
+       "      <th>3/12/20</th>\n",
+       "      <th>3/13/20</th>\n",
+       "      <th>3/14/20</th>\n",
+       "      <th>3/15/20</th>\n",
+       "      <th>3/16/20</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Thailand</td>\n",
+       "      <td>15.0000</td>\n",
+       "      <td>101.0000</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>7</td>\n",
+       "      <td>8</td>\n",
+       "      <td>8</td>\n",
+       "      <td>...</td>\n",
+       "      <td>50</td>\n",
+       "      <td>50</td>\n",
+       "      <td>50</td>\n",
+       "      <td>53</td>\n",
+       "      <td>59</td>\n",
+       "      <td>70</td>\n",
+       "      <td>75</td>\n",
+       "      <td>82</td>\n",
+       "      <td>114</td>\n",
+       "      <td>147</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Japan</td>\n",
+       "      <td>36.0000</td>\n",
+       "      <td>138.0000</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>...</td>\n",
+       "      <td>461</td>\n",
+       "      <td>502</td>\n",
+       "      <td>511</td>\n",
+       "      <td>581</td>\n",
+       "      <td>639</td>\n",
+       "      <td>639</td>\n",
+       "      <td>701</td>\n",
+       "      <td>773</td>\n",
+       "      <td>839</td>\n",
+       "      <td>825</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Singapore</td>\n",
+       "      <td>1.2833</td>\n",
+       "      <td>103.8333</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>5</td>\n",
+       "      <td>...</td>\n",
+       "      <td>138</td>\n",
+       "      <td>150</td>\n",
+       "      <td>150</td>\n",
+       "      <td>160</td>\n",
+       "      <td>178</td>\n",
+       "      <td>178</td>\n",
+       "      <td>200</td>\n",
+       "      <td>212</td>\n",
+       "      <td>226</td>\n",
+       "      <td>243</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Nepal</td>\n",
+       "      <td>28.1667</td>\n",
+       "      <td>84.2500</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</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>4</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Malaysia</td>\n",
+       "      <td>2.5000</td>\n",
+       "      <td>112.5000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>...</td>\n",
+       "      <td>93</td>\n",
+       "      <td>99</td>\n",
+       "      <td>117</td>\n",
+       "      <td>129</td>\n",
+       "      <td>149</td>\n",
+       "      <td>149</td>\n",
+       "      <td>197</td>\n",
+       "      <td>238</td>\n",
+       "      <td>428</td>\n",
+       "      <td>566</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 59 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Province/State Country/Region      Lat      Long  1/22/20  1/23/20  1/24/20  \\\n",
+       "0            NaN       Thailand  15.0000  101.0000        2        3        5   \n",
+       "1            NaN          Japan  36.0000  138.0000        2        1        2   \n",
+       "2            NaN      Singapore   1.2833  103.8333        0        1        3   \n",
+       "3            NaN          Nepal  28.1667   84.2500        0        0        0   \n",
+       "4            NaN       Malaysia   2.5000  112.5000        0        0        0   \n",
+       "\n",
+       "   1/25/20  1/26/20  1/27/20  ...  3/7/20  3/8/20  3/9/20  3/10/20  3/11/20  \\\n",
+       "0        7        8        8  ...      50      50      50       53       59   \n",
+       "1        2        4        4  ...     461     502     511      581      639   \n",
+       "2        3        4        5  ...     138     150     150      160      178   \n",
+       "3        1        1        1  ...       1       1       1        1        1   \n",
+       "4        3        4        4  ...      93      99     117      129      149   \n",
+       "\n",
+       "   3/12/20  3/13/20  3/14/20  3/15/20  3/16/20  \n",
+       "0       70       75       82      114      147  \n",
+       "1      639      701      773      839      825  \n",
+       "2      178      200      212      226      243  \n",
+       "3        1        1        1        1        1  \n",
+       "4      149      197      238      428      566  \n",
+       "\n",
+       "[5 rows x 59 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -68,7 +259,7 @@
     "\n",
     "for url_key in URLS:\n",
     "    print (\"- Downloading\", url_key, \"...\")\n",
-    "    urllib.request.urlretrieve(URLS[url_key], 'data/raw/{}_cases.csv'.format(url_key))\n",
+    "    request.urlretrieve(URLS[url_key], 'data/raw/{}_cases.csv'.format(url_key))\n",
     "print (\"- Done!\")\n",
     "\n",
     "\n",
@@ -88,7 +279,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 12,
    "metadata": {
     "scrolled": false
    },
@@ -200,7 +391,7 @@
        "4          0       0  "
       ]
      },
-     "execution_count": 32,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -229,7 +420,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [