update mar 15

paaatcha · Mar 16, 2020 · ea2961a · ea2961a
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diff --git a/.gitignore b/.gitignore
@@ -1,5 +1,3 @@
-PAD/results/*
-figures/
 
 *.sh
 

diff --git a/README.md b/README.md
@@ -3,6 +3,41 @@
 ## Overview
 On March 11, 2020, the World Health Organization (WHO) declared the Covid-19 (a.k.a. new coronavirus) a pandemic. Since January 22, 2020, the Johns Hopkins CSSE maintains a [data repository](https://github.com/CSSEGISandData/COVID-19) to track the Covid-19 incidence worldwide. In order to understand a little bit how this disease will affect my country (Brazil), I performed some data analysis in this data.
 
+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)
+### Covid-19 worldwide (without China):
+![covid-19-wo-chinha](figures/en/conf_cases_worldwide_no_china.png)
+
+### Deaths worldwide (without China):
+![deaths-wo-chinha](figures/en/deaths_worldwide_no_china.png)
+
+
+### 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 |
+| Switzerland      |        2200 |       14 |           4 |    0.636364 | 0.0258321  |
+| Norway           |        1221 |        3 |           1 |    0.2457   | 0.0229756  |
+
+### Comparing confirmed cases around the world
+
+![comparing-countries](figures/en/conf_cases_countries.png)
+
+### Early cases in Brazil
+![early-br](figures/en/early_cases_conf_brazil.png)
+
+### Comparing early cases around the world
+![early-compare](figures/en/conf_early_cases_countries.png)
+
+
 ## Running the code
 The analysis was coded in Python using Jupyter Notebook. To install the requirement:
 
@@ -19,5 +54,6 @@ Some people are also working on this data and providing some insightful analysis
 - [Novel Corona Virus 2019 Dataset](https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset)
 
 
+
 **If you find some bug or have any further question please let me know**
 
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/age_distribution.png b/figures/en/age_distribution.png
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_USA.png b/figures/en/early_cases_conf_USA.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/early_cases_conf_france.png b/figures/en/early_cases_conf_france.png
diff --git a/figures/en/early_cases_conf_germany.png b/figures/en/early_cases_conf_germany.png
diff --git a/figures/en/early_cases_conf_iran.png b/figures/en/early_cases_conf_iran.png
diff --git a/figures/en/early_cases_conf_italia.png b/figures/en/early_cases_conf_italia.png
diff --git a/figures/en/early_cases_conf_korea.png b/figures/en/early_cases_conf_korea.png
diff --git a/figures/en/early_cases_conf_spain.png b/figures/en/early_cases_conf_spain.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/distribuicao_idades.png b/figures/pt/distribuicao_idades.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_EUA.png b/figures/pt/prim_casos_conf_EUA.png
diff --git a/figures/pt/prim_casos_conf_alemanha.png b/figures/pt/prim_casos_conf_alemanha.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/prim_casos_conf_coreia.png b/figures/pt/prim_casos_conf_coreia.png
diff --git a/figures/pt/prim_casos_conf_espanha.png b/figures/pt/prim_casos_conf_espanha.png
diff --git a/figures/pt/prim_casos_conf_france.png b/figures/pt/prim_casos_conf_france.png
diff --git a/figures/pt/prim_casos_conf_iran.png b/figures/pt/prim_casos_conf_iran.png
diff --git a/figures/pt/prim_casos_conf_italia.png b/figures/pt/prim_casos_conf_italia.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": 12,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,217 +35,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "- Downloading Confirmed ...\n",
-      "- Downloading Recovered ...\n",
-      "- Downloading Deaths ...\n",
-      "- Done!\n"
+      "- Downloading Confirmed ...\n"
      ]
     },
     {
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-       "      <th>Lat</th>\n",
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-      ],
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-       "  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  ...  3/5/20  3/6/20  3/7/20  3/8/20  3/9/20  \\\n",
-       "0        7        8        8  ...      47      48      50      50      50   \n",
-       "1        2        4        4  ...     360     420     461     502     511   \n",
-       "2        3        4        5  ...     117     130     138     150     150   \n",
-       "3        1        1        1  ...       1       1       1       1       1   \n",
-       "4        3        4        4  ...      50      83      93      99     117   \n",
-       "\n",
-       "   3/10/20  3/11/20  3/12/20  3/13/20  3/14/20  \n",
-       "0       53       59       70       75       82  \n",
-       "1      581      639      639      701      773  \n",
-       "2      160      178      178      200      212  \n",
-       "3        1        1        1        1        1  \n",
-       "4      129      149      149      197      238  \n",
-       "\n",
-       "[5 rows x 57 columns]"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
+     "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"
+     ]
     }
    ],
    "source": [
@@ -444,7 +253,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.6.7"
   }
  },
  "nbformat": 4,