COVID_19_Chile_Tasa_Fallecidos_por_Region.ipynb

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  "metadata": {
    "colab": {
      "name": "COVID-19-Chile-Tasa-Fallecidos-por-Region.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyOcUoeoUT/LMjR+FNuG9ixr",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/alonsosilvaallende/COVID-19/blob/master/COVID_19_Chile_Tasa_Fallecidos_por_Region.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UQTvPiUb9Whb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "plt.style.use('seaborn')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wWvoIitK9FJc",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data_raw = pd.read_csv('https://raw.githubusercontent.com/MinCiencia/Datos-COVID19/master/output/producto4/2020-04-14-CasosConfirmados-totalRegional.csv', index_col='Region')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aELqJoXm9gAQ",
        "colab_type": "code",
        "outputId": "cf1b0265-b74f-451e-dc7c-c24534959ca6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 614
        }
      },
      "source": [
        "data_raw"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    }\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>Casos  nuevos</th>\n",
              "      <th>Casos  totales</th>\n",
              "      <th>%  Casos  totales**</th>\n",
              "      <th>Fallecidos</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Region</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Arica  y  Parinacota</th>\n",
              "      <td>5</td>\n",
              "      <td>120</td>\n",
              "      <td>1.52  %</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tarapaca</th>\n",
              "      <td>10</td>\n",
              "      <td>62</td>\n",
              "      <td>0.78  %</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Antofagasta</th>\n",
              "      <td>6</td>\n",
              "      <td>155</td>\n",
              "      <td>1.96  %</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Atacama</th>\n",
              "      <td>0</td>\n",
              "      <td>13</td>\n",
              "      <td>0.16  %</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Coquimbo</th>\n",
              "      <td>0</td>\n",
              "      <td>66</td>\n",
              "      <td>0.83  %</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Valparaiso</th>\n",
              "      <td>12</td>\n",
              "      <td>285</td>\n",
              "      <td>3.60  %</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Metropolitana</th>\n",
              "      <td>283</td>\n",
              "      <td>4086</td>\n",
              "      <td>51.61  %</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>O'Higgins</th>\n",
              "      <td>5</td>\n",
              "      <td>53</td>\n",
              "      <td>0.67  %</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Maule</th>\n",
              "      <td>1</td>\n",
              "      <td>142</td>\n",
              "      <td>1.79  %</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nuble</th>\n",
              "      <td>4</td>\n",
              "      <td>622</td>\n",
              "      <td>7.86  %</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Biobio</th>\n",
              "      <td>16</td>\n",
              "      <td>528</td>\n",
              "      <td>6.67  %</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Araucania</th>\n",
              "      <td>21</td>\n",
              "      <td>816</td>\n",
              "      <td>10.31  %</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Los  Rios</th>\n",
              "      <td>10</td>\n",
              "      <td>148</td>\n",
              "      <td>1.87  %</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Los  Lagos</th>\n",
              "      <td>5</td>\n",
              "      <td>385</td>\n",
              "      <td>4.86  %</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Aysen</th>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>0.09  %</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Magallanes</th>\n",
              "      <td>14</td>\n",
              "      <td>429</td>\n",
              "      <td>5.42  %</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total</th>\n",
              "      <td>392</td>\n",
              "      <td>7917</td>\n",
              "      <td>100%</td>\n",
              "      <td>92</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                      Casos  nuevos  ...  Fallecidos\n",
              "Region                               ...            \n",
              "Arica  y  Parinacota              5  ...           1\n",
              "Tarapaca                         10  ...           0\n",
              "Antofagasta                       6  ...           1\n",
              "Atacama                           0  ...           0\n",
              "Coquimbo                          0  ...           0\n",
              "Valparaiso                       12  ...           2\n",
              "Metropolitana                   283  ...          40\n",
              "O'Higgins                         5  ...           0\n",
              "Maule                             1  ...           4\n",
              "Nuble                             4  ...           8\n",
              "Biobio                           16  ...           2\n",
              "Araucania                        21  ...          20\n",
              "Los  Rios                        10  ...           3\n",
              "Los  Lagos                        5  ...           5\n",
              "Aysen                             0  ...           0\n",
              "Magallanes                       14  ...           6\n",
              "Total                           392  ...          92\n",
              "\n",
              "[17 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b6b-Ce8FyHaj",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 614
        },
        "outputId": "4ef9e0d2-53cb-46df-9773-70b272ad5f92"
      },
      "source": [
        "data_raw"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Casos  nuevos</th>\n",
              "      <th>Casos  totales</th>\n",
              "      <th>%  Casos  totales**</th>\n",
              "      <th>Fallecidos</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Region</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Arica  y  Parinacota</th>\n",
              "      <td>0</td>\n",
              "      <td>115</td>\n",
              "      <td>1.53  %</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tarapaca</th>\n",
              "      <td>6</td>\n",
              "      <td>52</td>\n",
              "      <td>0.69  %</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Antofagasta</th>\n",
              "      <td>11</td>\n",
              "      <td>149</td>\n",
              "      <td>1.98  %</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Atacama</th>\n",
              "      <td>0</td>\n",
              "      <td>13</td>\n",
              "      <td>0.17  %</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Coquimbo</th>\n",
              "      <td>0</td>\n",
              "      <td>66</td>\n",
              "      <td>0.88  %</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Valparaiso</th>\n",
              "      <td>19</td>\n",
              "      <td>273</td>\n",
              "      <td>3.63  %</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Metropolitana</th>\n",
              "      <td>204</td>\n",
              "      <td>3803</td>\n",
              "      <td>50.54  %</td>\n",
              "      <td>36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>O'Higgins</th>\n",
              "      <td>2</td>\n",
              "      <td>48</td>\n",
              "      <td>0.64  %</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Maule</th>\n",
              "      <td>3</td>\n",
              "      <td>141</td>\n",
              "      <td>1.87  %</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nuble</th>\n",
              "      <td>5</td>\n",
              "      <td>618</td>\n",
              "      <td>8.21  %</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Biobio</th>\n",
              "      <td>12</td>\n",
              "      <td>512</td>\n",
              "      <td>6.80  %</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Araucania</th>\n",
              "      <td>20</td>\n",
              "      <td>795</td>\n",
              "      <td>10.56  %</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Los  Rios</th>\n",
              "      <td>3</td>\n",
              "      <td>138</td>\n",
              "      <td>1.83  %</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Los  Lagos</th>\n",
              "      <td>8</td>\n",
              "      <td>380</td>\n",
              "      <td>5.05  %</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Aysen</th>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>0.09  %</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Magallanes</th>\n",
              "      <td>19</td>\n",
              "      <td>415</td>\n",
              "      <td>5.51  %</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Total</th>\n",
              "      <td>312</td>\n",
              "      <td>7525</td>\n",
              "      <td>100%</td>\n",
              "      <td>82</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                      Casos  nuevos  ...  Fallecidos\n",
              "Region                               ...            \n",
              "Arica  y  Parinacota              0  ...           1\n",
              "Tarapaca                          6  ...           0\n",
              "Antofagasta                      11  ...           1\n",
              "Atacama                           0  ...           0\n",
              "Coquimbo                          0  ...           0\n",
              "Valparaiso                       19  ...           2\n",
              "Metropolitana                   204  ...          36\n",
              "O'Higgins                         2  ...           0\n",
              "Maule                             3  ...           3\n",
              "Nuble                             5  ...           7\n",
              "Biobio                           12  ...           2\n",
              "Araucania                        20  ...          17\n",
              "Los  Rios                         3  ...           3\n",
              "Los  Lagos                        8  ...           5\n",
              "Aysen                             0  ...           0\n",
              "Magallanes                       19  ...           5\n",
              "Total                           312  ...          82\n",
              "\n",
              "[17 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D0UuE2X49kgg",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "tests_raw = pd.read_csv(\n",
        "    'https://raw.githubusercontent.com/MinCiencia/Datos-COVID19/master/output/producto7/PCR.csv',\n",
        "    index_col='Region')\n",
        "tests_raw = tests_raw.fillna(0)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Cm_KX1Gd96Wt",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "tests_total = pd.Series(dtype='float64')\n",
        "for date in tests_raw.columns:\n",
        "  tests_raw[date] = tests_raw[date].apply(lambda x: 0 if x=='-' else x)\n",
        "  tests_raw[date] = tests_raw[date].astype(int)\n",
        "  tests_total[date] = np.sum(tests_raw[date])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d5ad4BCh99gA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "tests_raw.loc['Total'] = tests_total"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sfbhsP399wR-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 353
        },
        "outputId": "9ceb000a-de6d-41c9-905d-20fe2c0f32b2"
      },
      "source": [
        "tests_raw['Poblacion']"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Region\n",
              "Arica y Parinacota                             252110\n",
              "Tarapaca                                       382773\n",
              "Antofagasta                                    691854\n",
              "Atacama                                        314709\n",
              "Coquimbo                                       836096\n",
              "Valparaiso                                    1960170\n",
              "Metropolitana                                 8125072\n",
              "Del Libertador General Bernardo O’Higgins      991063\n",
              "Maule                                         1131939\n",
              "Nuble                                          511551\n",
              "Biobio                                        1663696\n",
              "La Araucania                                  1014343\n",
              "Los Rios                                       405835\n",
              "Los Lagos                                      891440\n",
              "Aysen                                          107297\n",
              "Magallanes y la Antartica                      178362\n",
              "Total                                        19458310\n",
              "Name: Poblacion, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S4DuZa779s1p",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "death_rate = 1000000*data_raw['Fallecidos']/tests_raw['Poblacion'].values"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OemcZHDu-hlp",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "death_rate = death_rate.sort_values(ascending=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gDCg4HuvwCv3",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "death_rate = death_rate[death_rate>0]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "p8sKSAll-M1X",
        "colab_type": "code",
        "outputId": "628e6ace-55b8-457c-ddf1-e3f2850ae2be",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 535
        }
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(10,7))\n",
        "death_rate.plot(kind='barh', ax=ax, color='C0', fontsize='x-large')\n",
        "for i, val in enumerate(death_rate):\n",
        "  ax.text(val, i-0.1, f\" {val:.1f}\", fontsize='large')\n",
        "ax.set_title(f'COVID-19 en Chile: Tasa de fallecidos por región al 14 de abril\\nTasa de fallecidos = fallecidos por 1 millón de habitantes', fontsize='x-large')\n",
        "ax.set_xlabel(f'Tasa de fallecidos', fontsize='x-large')\n",
        "ax.set_ylabel(f'Región', fontsize='x-large')\n",
        "plt.xlim(0,36)\n",
        "fig.tight_layout()\n",
        "plt.annotate('Source:\\nhttps://github.com/MinCiencia/Datos-COVID19', (0,0), (-120,-30), fontsize='x-large', xycoords='axes fraction', textcoords='offset points', va='top')\n",
        "plt.savefig(\"2020-04-15-COVID-19-Chile-Tasa-de-Fallecidos-por-Region.png\", format='png', bbox_inches='tight', dvi=1200)"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f3AHfDiY-gPv",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from google.colab import files\n",
        "files.download(\"2020-04-15-COVID-19-Chile-Tasa-de-Fallecidos-por-Region.png\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OkNu_nOMAD-0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "CFR = data_raw['Fallecidos']/data_raw['Casos  totales']*100"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DcLrc4Rlt9V2",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "CFR = CFR.sort_values(ascending=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fhyGe01HuYrO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "CFR = CFR[CFR>0]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "B6waAidwuQN_",
        "colab_type": "code",
        "outputId": "ef067be8-70d9-42dc-b210-19b864aced4e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 535
        }
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(10,7))\n",
        "CFR.plot(kind='barh', ax=ax, color='C0', fontsize='x-large')\n",
        "for i, val in enumerate(CFR):\n",
        "  ax.text(val, i-0.1, f\" {val:.1f}%\", fontsize='large')\n",
        "ax.set_title(f'COVID-19 en Chile: Tasa de letalidad (CFR) por región al 14 de abril\\nTasa de letalidad = fallecidos confirmados / casos confirmados', fontsize='x-large')\n",
        "ax.set_xlabel(f'Tasa de letalidad', fontsize='x-large')\n",
        "ax.set_ylabel(f'Región', fontsize='x-large')\n",
        "plt.xlim(0,3.1)\n",
        "fig.tight_layout()\n",
        "plt.annotate('Source:\\nhttps://github.com/MinCiencia/Datos-COVID19', (0,0), (-120,-30), fontsize='x-large', xycoords='axes fraction', textcoords='offset points', va='top')\n",
        "plt.savefig(\"2020-04-15-COVID-19-Chile-Tasa-de-Letalidad-por-Region.png\", format='png', bbox_inches='tight', dvi=1200)"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9k632mf-uUSf",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from google.colab import files\n",
        "files.download(\"2020-04-15-COVID-19-Chile-Tasa-de-Letalidad-por-Region.png\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9NxEMdKcvlEG",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}