reporte_covid_italia.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](https://www.paho.org/sites/default/files/styles/top_hero/public/2022-07/coronavirus-ilustracion.jpg?h=4aea44c5&itok=HX70CyU6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![](https://img.shields.io/badge/acceso%20al%20notebook-COVID__19__Italia.ipynb-sucess?style=for-the-badge&logo=google-colab&color=ff8000)](https://colab.research.google.com/drive/1qB19OTY4_ibC-7eW9a_F7tlQ3k8p_vO9?usp=sharing)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "eRotiFWwYio9"
   },
   "source": [
    "# **PROBLEMA DE NEGOCIO**\n",
    "\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "EuEgbNrlYoPB"
   },
   "source": [
    "Una entidad gubernamental responsable de la gestión de la salud de **Italia** (pais seleccionado) enfrenta el desafío de comprender y analizar la propagación del COVID-19 para tomar decisiones informadas y eficaces en la gestión de la pandemia."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "gEj1xMlBZLvr"
   },
   "source": [
    "## **Configuración del Ambiente**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "G_VrcHX3ZPhL",
    "outputId": "f3b1830f-ef64-431c-e217-45213c742b2c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python 3.11.7\n"
     ]
    }
   ],
   "source": [
    "''' Descomentar este para instalar todo\n",
    "%%bash\n",
    "pip install --upgrade pip\n",
    "pip install -r requirements.txt\n",
    "'''\n",
    "!python -V"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "    Con esta versión en Python 3.11.7 \n",
    "    me salía RuntimeWarning y DataFrameGroupBy\n",
    "    y no podía corregirlo para que quede estético\n",
    "    en deepnote usa 3.11.4 y en google-colab la 3.10.12 \n",
    "    no muestra el error\n",
    "\"\"\"\n",
    "\n",
    "\n",
    "import warnings\n",
    "\n",
    "\n",
    "warnings.filterwarnings(\n",
    "    \"ignore\",\n",
    "    message=\"DataFrameGroupBy.apply operated on the grouping columns\"\n",
    ")\n",
    "\n",
    "warnings.filterwarnings(\n",
    "    \"ignore\", category=RuntimeWarning\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Z36FPafpNljx"
   },
   "source": [
    "## **Obtención, Tratamiento y Análisis Exploratorio (EDA)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "9neB-czKZP_Y"
   },
   "outputs": [],
   "source": [
    "# Cargando las bases de datos\n",
    "import pandas as pd\n",
    "from io import StringIO\n",
    "import requests as req\n",
    "\n",
    "\n",
    "df_covid = pd.read_csv(\n",
    "    StringIO(\n",
    "        req.get(\n",
    "            \"https://covid19.who.int/WHO-COVID-19-global-data.csv\"\n",
    "        ).text\n",
    "    )\n",
    ")\n",
    "\n",
    "\n",
    "df_population = pd.read_excel(\n",
    "    'https://raw.githubusercontent.com/ElProfeAlejo/Bootcamp_Databases/main/WPP2022_GEN_F01_DEMOGRAPHIC_INDICATORS_COMPACT_REV1.xlsx',\n",
    "    sheet_name=0, skiprows=16\n",
    ")\n",
    "df_population = df_population[df_population['Year'] == 2019]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "ztd0z1rWZQRI"
   },
   "outputs": [],
   "source": [
    "#df_population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "unO0WSWsZQnE"
   },
   "outputs": [],
   "source": [
    "#df_covid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "XlY6t7xJZo-C"
   },
   "outputs": [],
   "source": [
    "'''\n",
    "    Transformar datos de df_covid\n",
    "'''\n",
    "\n",
    "covid_transform = df_covid.copy()\n",
    "\n",
    "covid_transform = covid_transform.dropna(subset=['Country_code'])\n",
    "\n",
    "\n",
    "covid_transform = covid_transform[\n",
    "    [\n",
    "        'Date_reported','Country_code','Country',\n",
    "        'New_cases','Cumulative_cases','New_deaths',\n",
    "        'Cumulative_deaths'\n",
    "    ]\n",
    "]\n",
    "\n",
    "\n",
    "covid_transform = covid_transform.fillna(0)\n",
    "\n",
    "covid_transform['Date_reported'] = pd.to_datetime(\n",
    "    covid_transform['Date_reported']\n",
    ")\n",
    "covid_transform['New_cases'] = covid_transform['New_cases'].astype('int64')\n",
    "covid_transform['New_deaths'] = covid_transform['New_deaths'].astype('int64')\n",
    "\n",
    "covid_cleaned = covid_transform.copy()\n",
    "\n",
    "covid_cleaned['lethality_rate'] = (\n",
    "    covid_cleaned['Cumulative_deaths'] / covid_cleaned['Cumulative_cases']\n",
    ") * 100\n",
    "\n",
    "covid_cleaned = covid_cleaned.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "lu5mYD5wZzTI",
    "outputId": "10873996-fe84-4447-e7e8-cb2356c15685"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 50907 entries, 0 to 50906\n",
      "Data columns (total 8 columns):\n",
      " #   Column             Non-Null Count  Dtype         \n",
      "---  ------             --------------  -----         \n",
      " 0   Date_reported      50907 non-null  datetime64[ns]\n",
      " 1   Country_code       50907 non-null  object        \n",
      " 2   Country            50907 non-null  object        \n",
      " 3   New_cases          50907 non-null  int64         \n",
      " 4   Cumulative_cases   50907 non-null  int64         \n",
      " 5   New_deaths         50907 non-null  int64         \n",
      " 6   Cumulative_deaths  50907 non-null  int64         \n",
      " 7   lethality_rate     46533 non-null  float64       \n",
      "dtypes: datetime64[ns](1), float64(1), int64(4), object(2)\n",
      "memory usage: 3.1+ MB\n"
     ]
    }
   ],
   "source": [
    "covid_cleaned.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 300
    },
    "id": "s_pALQDuZ1tp",
    "outputId": "cbc4e920-78f7-4fb4-deaa-cffbae7a8a5c"
   },
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\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>Date_reported</th>\n",
       "      <th>New_cases</th>\n",
       "      <th>Cumulative_cases</th>\n",
       "      <th>New_deaths</th>\n",
       "      <th>Cumulative_deaths</th>\n",
       "      <th>lethality_rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>50907</td>\n",
       "      <td>5.090700e+04</td>\n",
       "      <td>5.090700e+04</td>\n",
       "      <td>50907.000000</td>\n",
       "      <td>5.090700e+04</td>\n",
       "      <td>4.653300e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2022-01-16 00:00:00.000000256</td>\n",
       "      <td>1.521004e+04</td>\n",
       "      <td>1.609910e+06</td>\n",
       "      <td>137.944919</td>\n",
       "      <td>1.884882e+04</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2020-01-05 00:00:00</td>\n",
       "      <td>-6.507900e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-3432.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2021-01-10 00:00:00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.774000e+03</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.100000e+01</td>\n",
       "      <td>4.785607e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2022-01-16 00:00:00</td>\n",
       "      <td>8.600000e+01</td>\n",
       "      <td>3.810200e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.110000e+02</td>\n",
       "      <td>1.161092e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2023-01-22 00:00:00</td>\n",
       "      <td>1.828000e+03</td>\n",
       "      <td>4.727175e+05</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>6.210000e+03</td>\n",
       "      <td>2.132131e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2024-01-28 00:00:00</td>\n",
       "      <td>4.047548e+07</td>\n",
       "      <td>1.034368e+08</td>\n",
       "      <td>47687.000000</td>\n",
       "      <td>1.170784e+06</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2.372431e+05</td>\n",
       "      <td>7.212517e+06</td>\n",
       "      <td>862.395523</td>\n",
       "      <td>7.831161e+04</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Date_reported     New_cases  Cumulative_cases  \\\n",
       "count                          50907  5.090700e+04      5.090700e+04   \n",
       "mean   2022-01-16 00:00:00.000000256  1.521004e+04      1.609910e+06   \n",
       "min              2020-01-05 00:00:00 -6.507900e+04      0.000000e+00   \n",
       "25%              2021-01-10 00:00:00  0.000000e+00      2.774000e+03   \n",
       "50%              2022-01-16 00:00:00  8.600000e+01      3.810200e+04   \n",
       "75%              2023-01-22 00:00:00  1.828000e+03      4.727175e+05   \n",
       "max              2024-01-28 00:00:00  4.047548e+07      1.034368e+08   \n",
       "std                              NaN  2.372431e+05      7.212517e+06   \n",
       "\n",
       "         New_deaths  Cumulative_deaths  lethality_rate  \n",
       "count  50907.000000       5.090700e+04    4.653300e+04  \n",
       "mean     137.944919       1.884882e+04             inf  \n",
       "min    -3432.000000       0.000000e+00    0.000000e+00  \n",
       "25%        0.000000       2.100000e+01    4.785607e-01  \n",
       "50%        0.000000       4.110000e+02    1.161092e+00  \n",
       "75%       18.000000       6.210000e+03    2.132131e+00  \n",
       "max    47687.000000       1.170784e+06             inf  \n",
       "std      862.395523       7.831161e+04             NaN  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "covid_cleaned.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "W4MUcFfVZ28y"
   },
   "outputs": [],
   "source": [
    "#covid_cleaned"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "7WaMgtRqZ48z"
   },
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "    Transformar datos de df_population\n",
    "\"\"\"\n",
    "\n",
    "population_transform = df_population.copy()\n",
    "\n",
    "population_transform = population_transform[\n",
    "    [\n",
    "        'ISO2 Alpha-code',\n",
    "        'Total Population, as of 1 July (thousands)',\n",
    "        'Male Population, as of 1 July (thousands)',\n",
    "        'Female Population, as of 1 July (thousands)',\n",
    "        'Population Density, as of 1 July (persons per square km)',\n",
    "        'Life Expectancy at Birth, both sexes (years)'\n",
    "    ]\n",
    "]\n",
    "\n",
    "population_transform = population_transform.rename(\n",
    "    columns={\n",
    "        'ISO2 Alpha-code': 'Country_code',\n",
    "        'Total Population, as of 1 July (thousands)': 'Total_Population',\n",
    "        'Male Population, as of 1 July (thousands)': 'Male_Population',\n",
    "        'Female Population, as of 1 July (thousands)': 'Female_Population',\n",
    "        'Population Density, as of 1 July (persons per square km)': 'Population_Density',\n",
    "        'Life Expectancy at Birth, both sexes (years)': 'Life_Expectancy'\n",
    "    }\n",
    ")\n",
    "\n",
    "population_cleaned = population_transform.dropna().copy()\n",
    "\n",
    "population_cleaned['Life_Expectancy'] = pd.to_numeric(\n",
    "    population_cleaned['Life_Expectancy'], errors='coerce'\n",
    ").fillna(0).astype('float64')\n",
    "\n",
    "columns_to_convert = [\n",
    "    'Total_Population', 'Male_Population',\n",
    "    'Female_Population', 'Population_Density'\n",
    "]\n",
    "\n",
    "for column in columns_to_convert:\n",
    "    population_cleaned[column] = pd.to_numeric(\n",
    "        population_cleaned[column], errors='coerce'\n",
    "    ).fillna(0).astype('int64')\n",
    "\n",
    "population_cleaned[\n",
    "    ['Total_Population', 'Male_Population', 'Female_Population']\n",
    "] *= 1000\n",
    "\n",
    "population_cleaned = population_cleaned.dropna()\n",
    "\n",
    "population_cleaned = population_cleaned.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "vjUZxpuTf1UX"
   },
   "outputs": [],
   "source": [
    "#population_cleaned"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Va3SOgc4aSHT",
    "outputId": "4fcb177c-0ce5-4226-ad0b-ee45b5ea5882"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 236 entries, 0 to 235\n",
      "Data columns (total 6 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   Country_code        236 non-null    object \n",
      " 1   Total_Population    236 non-null    int64  \n",
      " 2   Male_Population     236 non-null    int64  \n",
      " 3   Female_Population   236 non-null    int64  \n",
      " 4   Population_Density  236 non-null    int64  \n",
      " 5   Life_Expectancy     236 non-null    float64\n",
      "dtypes: float64(1), int64(4), object(1)\n",
      "memory usage: 11.2+ KB\n"
     ]
    }
   ],
   "source": [
    "population_cleaned.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 300
    },
    "id": "D1izd4HcaUk7",
    "outputId": "65230684-7f5a-4fb4-8703-1f145101c42b"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Total_Population</th>\n",
       "      <th>Male_Population</th>\n",
       "      <th>Female_Population</th>\n",
       "      <th>Population_Density</th>\n",
       "      <th>Life_Expectancy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.360000e+02</td>\n",
       "      <td>2.360000e+02</td>\n",
       "      <td>2.360000e+02</td>\n",
       "      <td>236.000000</td>\n",
       "      <td>236.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.289144e+07</td>\n",
       "      <td>1.654706e+07</td>\n",
       "      <td>1.634390e+07</td>\n",
       "      <td>461.677966</td>\n",
       "      <td>73.178106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.342185e+08</td>\n",
       "      <td>6.875309e+07</td>\n",
       "      <td>6.547831e+07</td>\n",
       "      <td>2217.981940</td>\n",
       "      <td>8.765629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.935000e+05</td>\n",
       "      <td>1.907500e+05</td>\n",
       "      <td>2.075000e+05</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>68.459250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.400500e+06</td>\n",
       "      <td>2.731500e+06</td>\n",
       "      <td>2.709500e+06</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>74.960000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.066300e+07</td>\n",
       "      <td>1.039800e+07</td>\n",
       "      <td>1.026425e+07</td>\n",
       "      <td>240.500000</td>\n",
       "      <td>79.081750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.421864e+09</td>\n",
       "      <td>7.267810e+08</td>\n",
       "      <td>6.950820e+08</td>\n",
       "      <td>24855.000000</td>\n",
       "      <td>86.542000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Total_Population  Male_Population  Female_Population  \\\n",
       "count      2.360000e+02     2.360000e+02       2.360000e+02   \n",
       "mean       3.289144e+07     1.654706e+07       1.634390e+07   \n",
       "std        1.342185e+08     6.875309e+07       6.547831e+07   \n",
       "min        0.000000e+00     0.000000e+00       0.000000e+00   \n",
       "25%        3.935000e+05     1.907500e+05       2.075000e+05   \n",
       "50%        5.400500e+06     2.731500e+06       2.709500e+06   \n",
       "75%        2.066300e+07     1.039800e+07       1.026425e+07   \n",
       "max        1.421864e+09     7.267810e+08       6.950820e+08   \n",
       "\n",
       "       Population_Density  Life_Expectancy  \n",
       "count          236.000000       236.000000  \n",
       "mean           461.677966        73.178106  \n",
       "std           2217.981940         8.765629  \n",
       "min              0.000000         0.000000  \n",
       "25%             38.000000        68.459250  \n",
       "50%             95.000000        74.960000  \n",
       "75%            240.500000        79.081750  \n",
       "max          24855.000000        86.542000  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "population_cleaned.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "id": "9xuI9K3ecy_R"
   },
   "outputs": [],
   "source": [
    "import squarify\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def save_plot(file_name:str):\n",
    "    \"\"\"\n",
    "        Para guardar en fotos los gráficos\n",
    "    \"\"\"\n",
    "    plt.savefig(file_name, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como científico de datos, tu tarea es analizar los datos relacionados con el COVID-19 y presentar insights a través de visualizaciones que respondan a las siguientes preguntas clave:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "W0pJoEb3YrsI"
   },
   "source": [
    "## 1. ¿Cómo ha evolucionado el Covid-19 en el país en comparación con el impacto observado a nivel global?\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "3s9VG4DfYj1k",
    "outputId": "bda09953-cddf-4ada-8380-c06218962a8b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country\n",
       "USA                  103436829\n",
       "China                 99327754\n",
       "India                 45025076\n",
       "France                38997490\n",
       "Germany               38437756\n",
       "Brazil                37519960\n",
       "Republic of Korea     34571873\n",
       "Japan                 33803572\n",
       "Italy                 26699442\n",
       "UK                    24892903\n",
       "Otros                291618428\n",
       "Name: Cumulative_cases, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Worldwide Distribution\n",
    "\n",
    "replacement = {\n",
    "    'United States of America': 'USA',\n",
    "    'United Kingdom of Great Britain and Northern Ireland': 'UK'\n",
    "}\n",
    "\n",
    "covid_cleaned.replace(replacement, inplace=True)\n",
    "\n",
    "total_por_pais = (\n",
    "    covid_cleaned.groupby('Country')['Cumulative_cases']\n",
    "    .max()\n",
    "    .sort_values(ascending=False)\n",
    ")\n",
    "\n",
    "top_10_paises = total_por_pais.nlargest(10)\n",
    "otros = total_por_pais.drop(top_10_paises.index).sum()\n",
    "top_10_paises['Otros'] = otros\n",
    "top_10_paises"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 336
    },
    "id": "AdxEjGiibuQz",
    "outputId": "e8f83976-1ab9-4e05-bf22-9067125311bc"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>Date_reported</th>\n",
       "      <th>2020-01-05</th>\n",
       "      <th>2020-01-12</th>\n",
       "      <th>2020-01-19</th>\n",
       "      <th>2020-01-26</th>\n",
       "      <th>2020-02-02</th>\n",
       "      <th>2020-02-09</th>\n",
       "      <th>2020-02-16</th>\n",
       "      <th>2020-02-23</th>\n",
       "      <th>2020-03-01</th>\n",
       "      <th>2020-03-08</th>\n",
       "      <th>...</th>\n",
       "      <th>2023-11-26</th>\n",
       "      <th>2023-12-03</th>\n",
       "      <th>2023-12-10</th>\n",
       "      <th>2023-12-17</th>\n",
       "      <th>2023-12-24</th>\n",
       "      <th>2023-12-31</th>\n",
       "      <th>2024-01-07</th>\n",
       "      <th>2024-01-14</th>\n",
       "      <th>2024-01-21</th>\n",
       "      <th>2024-01-28</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>China</th>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>125</td>\n",
       "      <td>1985</td>\n",
       "      <td>14411</td>\n",
       "      <td>37251</td>\n",
       "      <td>68584</td>\n",
       "      <td>77042</td>\n",
       "      <td>79968</td>\n",
       "      <td>80859</td>\n",
       "      <td>...</td>\n",
       "      <td>99320425</td>\n",
       "      <td>99320845</td>\n",
       "      <td>99321242</td>\n",
       "      <td>99321637</td>\n",
       "      <td>99322142</td>\n",
       "      <td>99322727</td>\n",
       "      <td>99323756</td>\n",
       "      <td>99325108</td>\n",
       "      <td>99326423</td>\n",
       "      <td>99327754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>...</td>\n",
       "      <td>38997490</td>\n",
       "      <td>38997490</td>\n",
       "      <td>38997490</td>\n",
       "      <td>38997490</td>\n",
       "      <td>38997490</td>\n",
       "      <td>38997490</td>\n",
       "      <td>38997490</td>\n",
       "      <td>38997490</td>\n",
       "      <td>38997490</td>\n",
       "      <td>38997490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>20</td>\n",
       "      <td>25</td>\n",
       "      <td>31</td>\n",
       "      <td>170</td>\n",
       "      <td>1075</td>\n",
       "      <td>...</td>\n",
       "      <td>38437756</td>\n",
       "      <td>38437756</td>\n",
       "      <td>38437756</td>\n",
       "      <td>38437756</td>\n",
       "      <td>38437756</td>\n",
       "      <td>38437756</td>\n",
       "      <td>38437756</td>\n",
       "      <td>38437756</td>\n",
       "      <td>38437756</td>\n",
       "      <td>38437756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>India</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>39</td>\n",
       "      <td>...</td>\n",
       "      <td>45001764</td>\n",
       "      <td>45002179</td>\n",
       "      <td>45003055</td>\n",
       "      <td>45004816</td>\n",
       "      <td>45008620</td>\n",
       "      <td>45013172</td>\n",
       "      <td>45018134</td>\n",
       "      <td>45021758</td>\n",
       "      <td>45023751</td>\n",
       "      <td>45025076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>79</td>\n",
       "      <td>1128</td>\n",
       "      <td>5883</td>\n",
       "      <td>...</td>\n",
       "      <td>26390138</td>\n",
       "      <td>26446390</td>\n",
       "      <td>26500100</td>\n",
       "      <td>26565858</td>\n",
       "      <td>26623352</td>\n",
       "      <td>26658248</td>\n",
       "      <td>26679494</td>\n",
       "      <td>26691830</td>\n",
       "      <td>26698159</td>\n",
       "      <td>26699442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>USA</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>20</td>\n",
       "      <td>24</td>\n",
       "      <td>40</td>\n",
       "      <td>73</td>\n",
       "      <td>464</td>\n",
       "      <td>...</td>\n",
       "      <td>103436829</td>\n",
       "      <td>103436829</td>\n",
       "      <td>103436829</td>\n",
       "      <td>103436829</td>\n",
       "      <td>103436829</td>\n",
       "      <td>103436829</td>\n",
       "      <td>103436829</td>\n",
       "      <td>103436829</td>\n",
       "      <td>103436829</td>\n",
       "      <td>103436829</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6 rows × 213 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Date_reported  2020-01-05  2020-01-12  2020-01-19  2020-01-26  2020-02-02  \\\n",
       "Country                                                                     \n",
       "China                   1          45         125        1985       14411   \n",
       "France                  0           0           0           3           6   \n",
       "Germany                 1           1           1           2          11   \n",
       "India                   0           0           0           0           2   \n",
       "Italy                   0           0           0           0           3   \n",
       "USA                     0           0           0           7           9   \n",
       "\n",
       "Date_reported  2020-02-09  2020-02-16  2020-02-23  2020-03-01  2020-03-08  \\\n",
       "Country                                                                     \n",
       "China               37251       68584       77042       79968       80859   \n",
       "France                 12          12          16          16          16   \n",
       "Germany                20          25          31         170        1075   \n",
       "India                   7           7           7           7          39   \n",
       "Italy                   3           3          79        1128        5883   \n",
       "USA                    20          24          40          73         464   \n",
       "\n",
       "Date_reported  ...  2023-11-26  2023-12-03  2023-12-10  2023-12-17  \\\n",
       "Country        ...                                                   \n",
       "China          ...    99320425    99320845    99321242    99321637   \n",
       "France         ...    38997490    38997490    38997490    38997490   \n",
       "Germany        ...    38437756    38437756    38437756    38437756   \n",
       "India          ...    45001764    45002179    45003055    45004816   \n",
       "Italy          ...    26390138    26446390    26500100    26565858   \n",
       "USA            ...   103436829   103436829   103436829   103436829   \n",
       "\n",
       "Date_reported  2023-12-24  2023-12-31  2024-01-07  2024-01-14  2024-01-21  \\\n",
       "Country                                                                     \n",
       "China            99322142    99322727    99323756    99325108    99326423   \n",
       "France           38997490    38997490    38997490    38997490    38997490   \n",
       "Germany          38437756    38437756    38437756    38437756    38437756   \n",
       "India            45008620    45013172    45018134    45021758    45023751   \n",
       "Italy            26623352    26658248    26679494    26691830    26698159   \n",
       "USA             103436829   103436829   103436829   103436829   103436829   \n",
       "\n",
       "Date_reported  2024-01-28  \n",
       "Country                    \n",
       "China            99327754  \n",
       "France           38997490  \n",
       "Germany          38437756  \n",
       "India            45025076  \n",
       "Italy            26699442  \n",
       "USA             103436829  \n",
       "\n",
       "[6 rows x 213 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_por_pais = (\n",
    "    covid_cleaned\n",
    "    .groupby('Country')['Cumulative_cases']\n",
    "    .max()\n",
    "    .sort_values(ascending=False)\n",
    ")\n",
    "\n",
    "top_5_paises = total_por_pais.nlargest(5)\n",
    "\n",
    "top_5_paises.loc['Italy'] = total_por_pais.loc['Italy']\n",
    "\n",
    "df_covid_limpio_reset = covid_cleaned.reset_index()\n",
    "\n",
    "df_top_5 = df_covid_limpio_reset[\n",
    "    df_covid_limpio_reset['Country'].isin(top_5_paises.index)\n",
    "    ]\n",
    "\n",
    "total_acumulado_top_5 = df_top_5.pivot(\n",
    "    index='Country',\n",
    "    columns='Date_reported',\n",
    "    values='Cumulative_cases'\n",
    ").fillna(0)\n",
    "\n",
    "total_acumulado_top_5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 507
    },
    "id": "QVhfHmFimdVM",
    "outputId": "1fdd10c7-5a79-407b-a0bb-a7a89f891790"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\"\n",
    "    Gráficos de Treemap con Líneas\n",
    "\"\"\"\n",
    "\n",
    "percentages = [(value / total_por_pais.sum()) * 100 for value in top_10_paises.to_list()]\n",
    "\n",
    "# Crea las etiquetas con los porcentajes\n",
    "labels = [f'{country}\\n {value:.2f}%' for country, value in zip(top_10_paises.index.to_list(), percentages)]\n",
    "\n",
    "fig, axs = plt.subplots(1, 2, figsize=(12, 5))\n",
    "\n",
    "# Treemap con Squarify en axs[0]\n",
    "squarify.plot(\n",
    "    sizes=top_10_paises.to_list(),\n",
    "    ax=axs[0], pad=2,\n",
    "    label=labels, alpha=.8,\n",
    "    color=sns.color_palette(\"Spectral\", len(top_10_paises))\n",
    ")\n",
    "axs[0].set_title('Distribución mundial de casos reportados')\n",
    "axs[0].axis('off')\n",
    "\n",
    "# Gráfico de Líneas en axs[1]\n",
    "for pais in top_5_paises.index:\n",
    "    days_since_start = (\n",
    "        total_acumulado_top_5.columns - total_acumulado_top_5.columns[0]\n",
    "        ).days\n",
    "    axs[1].plot(\n",
    "        days_since_start,\n",
    "        total_acumulado_top_5.loc[pais] / 1e6,\n",
    "        label=pais\n",
    "        )\n",
    "\n",
    "axs[1].set_title('Progresión de casos por país')\n",
    "axs[1].set_xlabel('Días desde el inicio de la pandemia')\n",
    "axs[1].set_ylabel('Casos en millones')\n",
    "axs[1].legend()\n",
    "\n",
    "save_plot('evolucion_italia_vs_mundo.png')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Italia se encuentra en la posición 9 de los países con mayores casos de COVID acumulados hasta la fecha, ha experimentado un crecimiento moderado pero constante de los casos de COVID-19 en comparación con otros países. Si bien en el año 2022 hubo un aumento considerable de casos diarios, fue menor que en lo observado en los otros países del top 5."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "EtyzMXMrY587"
   },
   "source": [
    "## 2.¿Cuál ha sido la evolución de los nuevos casos diarios reportados de Covid-19 en el país a lo largo del tiempo?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 468
    },
    "id": "rAzkbOBcF7nF",
    "outputId": "4f8bbddd-aae8-42c1-d0eb-51447b857dee"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Daily New Cases\n",
    "grouped_df = (\n",
    "    covid_cleaned\n",
    "    .groupby(['Country', 'Date_reported'])['Cumulative_cases']\n",
    "    .sum()\n",
    "    .unstack()\n",
    ")\n",
    "\n",
    "grouped_df = grouped_df.reset_index()\n",
    "grouped_df = grouped_df.set_index('Country')\n",
    "grouped_df = grouped_df.loc[['Italy']]\n",
    "fechas = grouped_df.columns\n",
    "\n",
    "new_cases = (\n",
    "    grouped_df[fechas]\n",
    "    .diff(axis=1)\n",
    "    .fillna(grouped_df[fechas])\n",
    "    .sum(axis=0)\n",
    ")\n",
    "\n",
    "\n",
    "calplot_new_cases = new_cases.copy()\n",
    "calplot_new_cases.index = pd.to_datetime(calplot_new_cases.index)\n",
    "calplot_2022 = calplot_new_cases.loc['2022']\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 5),facecolor='#F8F8FF')\n",
    "\n",
    "ax.stem(\n",
    "    new_cases.index, new_cases.values/1e3, basefmt='None', markerfmt= ''\n",
    "    )\n",
    "\n",
    "\n",
    "plt.text(\n",
    "    new_cases.index[120], 800,\n",
    "    f'Además, solo\\nEnero del 2022\\nes el {round((calplot_2022[calplot_2022.index.month == 1].sum() * 100 / top_10_paises[\"Italy\"]), 1)}%',\n",
    "    bbox = {'facecolor': '#87CEFA', 'alpha': 0.5, 'pad': 8}\n",
    "    )\n",
    "\n",
    "plt.text(\n",
    "    new_cases.index[45], 990,\n",
    "    f'En todo el 2022 corresponde\\nal {round((calplot_2022.sum() * 100 / top_10_paises[\"Italy\"]), 1)}% de los casos\\nreportados hasta hoy',\n",
    "    bbox = {'facecolor': '#87CEFA', 'alpha': 0.5, 'pad': 8}\n",
    "    )\n",
    "\n",
    "plt.ylabel('en miles de casos')\n",
    "plt.title('Casos diarios reportados en Italia')\n",
    "\n",
    "save_plot('italia_casos_diarios.png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "FH8iUxKKzqEI",
    "outputId": "373f2173-8d75-46ff-c59c-9d3041c544f8",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1250x850 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\"\n",
    "    Este fue que me dejó ver que se borraron reportes por limpiar datos outsiders\n",
    "    en la variable de letalidad\n",
    "    \n",
    "    Para usar la librería calplot se debe descargar\n",
    "    la fuente Helvetica y cargar a matplotlib\n",
    "\"\"\"\n",
    "\n",
    "import os\n",
    "import calplot\n",
    "from matplotlib.font_manager import fontManager,FontProperties\n",
    "\n",
    "\n",
    "fontManager.addfont(f'{os.getcwd()}/Helvetica.ttf')\n",
    "\n",
    "calplot.calplot(\n",
    "    calplot_new_cases, cmap = 'Spectral_r',\n",
    "    vmin=1e5, vmax=1e6, yearascending = False\n",
    "    )\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1250x170 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "calplot.calplot(\n",
    "    calplot_2022,\n",
    "    cmap = 'Spectral_r',\n",
    "    vmin=1e5, vmax=1e6\n",
    "    )\n",
    "\n",
    "\n",
    "plt.title('Casos semanales reportados en Italia en 2022')\n",
    "save_plot('calplot_italia_2022.png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Los datos indican que en el año 2022 es donde se reportan una mayor cantidad de casos. Observándose varios picos principalmente en Enero que éste duró hasta fines de Febrero, luego gradualmente picos menores en las quinceras de Julio y Octubre."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xeiAL2W5Y9Vx"
   },
   "source": [
    "## 3. ¿Cuál es la evolución del índice de letalidad del Covid-19 en el país, comparado con los países con los índices históricos más elevados?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 300
    },
    "id": "cQZDnZlXYxi4",
    "outputId": "adef1f86-b58a-4cc7-8a0b-dc30a6c0124e"
   },
   "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>Date_reported</th>\n",
       "      <th>New_cases</th>\n",
       "      <th>Cumulative_cases</th>\n",
       "      <th>New_deaths</th>\n",
       "      <th>Cumulative_deaths</th>\n",
       "      <th>lethality_rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>46160</td>\n",
       "      <td>4.616000e+04</td>\n",
       "      <td>4.616000e+04</td>\n",
       "      <td>46160.000000</td>\n",
       "      <td>4.616000e+04</td>\n",
       "      <td>46160.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2022-03-06 07:21:58.960138752</td>\n",
       "      <td>1.675709e+04</td>\n",
       "      <td>1.775231e+06</td>\n",
       "      <td>149.554203</td>\n",
       "      <td>2.073776e+04</td>\n",
       "      <td>1.588093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2020-01-05 00:00:00</td>\n",
       "      <td>-6.507900e+04</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>-3432.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2021-03-21 00:00:00</td>\n",
       "      <td>3.000000e+00</td>\n",
       "      <td>7.301000e+03</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.100000e+01</td>\n",
       "      <td>0.474191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2022-03-13 00:00:00</td>\n",
       "      <td>1.490000e+02</td>\n",
       "      <td>6.095300e+04</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.150000e+02</td>\n",
       "      <td>1.152446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2023-02-26 00:00:00</td>\n",
       "      <td>2.442000e+03</td>\n",
       "      <td>5.960378e+05</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>7.660000e+03</td>\n",
       "      <td>2.097788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2024-01-28 00:00:00</td>\n",
       "      <td>4.047548e+07</td>\n",
       "      <td>1.034368e+08</td>\n",
       "      <td>47687.000000</td>\n",
       "      <td>1.170784e+06</td>\n",
       "      <td>14.494340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2.490914e+05</td>\n",
       "      <td>7.554934e+06</td>\n",
       "      <td>898.535820</td>\n",
       "      <td>8.199654e+04</td>\n",
       "      <td>1.734297</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Date_reported     New_cases  Cumulative_cases  \\\n",
       "count                          46160  4.616000e+04      4.616000e+04   \n",
       "mean   2022-03-06 07:21:58.960138752  1.675709e+04      1.775231e+06   \n",
       "min              2020-01-05 00:00:00 -6.507900e+04      1.000000e+00   \n",
       "25%              2021-03-21 00:00:00  3.000000e+00      7.301000e+03   \n",
       "50%              2022-03-13 00:00:00  1.490000e+02      6.095300e+04   \n",
       "75%              2023-02-26 00:00:00  2.442000e+03      5.960378e+05   \n",
       "max              2024-01-28 00:00:00  4.047548e+07      1.034368e+08   \n",
       "std                              NaN  2.490914e+05      7.554934e+06   \n",
       "\n",
       "         New_deaths  Cumulative_deaths  lethality_rate  \n",
       "count  46160.000000       4.616000e+04    46160.000000  \n",
       "mean     149.554203       2.073776e+04        1.588093  \n",
       "min    -3432.000000       0.000000e+00        0.000000  \n",
       "25%        0.000000       6.100000e+01        0.474191  \n",
       "50%        1.000000       7.150000e+02        1.152446  \n",
       "75%       24.000000       7.660000e+03        2.097788  \n",
       "max    47687.000000       1.170784e+06       14.494340  \n",
       "std      898.535820       8.199654e+04        1.734297  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "    Lethality Rate by Country - Limpieza de Datos\n",
    "    si hacía la limpieza solo usando quantile(0.99) \n",
    "    se borran datos porque en la anterior gráfica\n",
    "    se ve una nula progresión, nos comentó nuestro profe Alejo\n",
    "\"\"\"\n",
    "\n",
    "quantile_0 = covid_cleaned['lethality_rate'].quantile(0)\n",
    "quantile_99 = covid_cleaned['lethality_rate'].quantile(0.992)\n",
    "\n",
    "covid_lethality = covid_cleaned[\n",
    "    (\n",
    "        covid_cleaned['lethality_rate'] >= quantile_0\n",
    "    ) & (\n",
    "        covid_cleaned['lethality_rate'] <= quantile_99\n",
    "    )\n",
    "]\n",
    "\n",
    "covid_lethality = covid_lethality.reset_index(drop=True)\n",
    "\n",
    "\n",
    "covid_lethality.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 394
    },
    "id": "BVv85KtTZAMj",
    "outputId": "b4af059b-27a6-4890-f0ea-9630d8fc9ab6"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def get_max_row(group, column):\n",
    "    return group.loc[group[column].idxmax()]\n",
    "\n",
    "result = covid_lethality.groupby(\n",
    "    ['Country', covid_lethality['Date_reported'].dt.to_period(\"M\")]\n",
    "    ).apply(lambda group: get_max_row(group, 'lethality_rate')\n",
    ")\n",
    "\n",
    "result.reset_index(drop=True, inplace=True)\n",
    "top_4_paises = (\n",
    "    result.groupby('Country')['lethality_rate']\n",
    "    .mean()\n",
    "    .nlargest(4)\n",
    "    .index\n",
    ")\n",
    "\n",
    "result = result[result['Country'].isin(top_4_paises)]\n",
    "\n",
    "result_pais = (\n",
    "    covid_lethality[covid_lethality['Country'] == 'Italy']\n",
    "    .groupby(\n",
    "        covid_lethality['Date_reported'].dt.to_period(\"M\"))\n",
    "    .apply(lambda group: get_max_row(group, 'lethality_rate'))\n",
    ")\n",
    "\n",
    "result_pais.reset_index(drop=True, inplace=True)\n",
    "result_final = pd.concat([result, result_pais])\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 4))\n",
    "for pais in result_final['Country'].unique():\n",
    "    country_data = result_final[result_final['Country'] == pais]\n",
    "    ax.plot(\n",
    "        country_data['Date_reported'],\n",
    "        country_data['lethality_rate'],\n",
    "        label=pais\n",
    "        )\n",
    "\n",
    "\n",
    "# Agrega un punto en el máximo pico de letalidad para Italia\n",
    "\n",
    "max_lethality_index = result_pais['lethality_rate'].idxmax()\n",
    "max_lethality_date = result_pais.loc[max_lethality_index, 'Date_reported']\n",
    "max_lethality_value = result_pais.loc[max_lethality_index, 'lethality_rate']\n",
    "\n",
    "\n",
    "ax.scatter(\n",
    "    max_lethality_date,\n",
    "    max_lethality_value,\n",
    "    color='#8b008b', marker='o'\n",
    "    )\n",
    "\n",
    "ax.annotate(\n",
    "    f'Italy: {max_lethality_value:.2f}%',\n",
    "    xy=(max_lethality_date, max_lethality_value),\n",
    "    xytext=(\n",
    "        max_lethality_date + pd.DateOffset(days=300),\n",
    "        max_lethality_value - 0.5\n",
    "    ),  # Ajusta la posición del texto\n",
    "    arrowprops=dict(\n",
    "        color='#8b008b', arrowstyle='->', lw=1.5\n",
    "        ),  # Estilo de la flecha\n",
    "    fontsize=10, color='#8b008b',\n",
    "    ha='center', va='bottom', weight='bold'\n",
    ")\n",
    "\n",
    "\n",
    "# Agregando porcentaje en el eje Y\n",
    "\n",
    "def porcent_formatter(y, pos):\n",
    "    return f'{y*1:.0f}%'\n",
    "\n",
    "formatter = FuncFormatter(porcent_formatter)\n",
    "plt.gca().yaxis.set_major_formatter(formatter)\n",
    "\n",
    "ax.legend()\n",
    "\n",
    "ax.set_title(\n",
    "    'Letalidad por país', fontsize=16,\n",
    "    color='#212529', loc='center'\n",
    "    )\n",
    "\n",
    "save_plot('letalidad_por_pais.png')\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Italia llega a tener su pico de letalidad fue de 14,49% a mediados de junio, unas de las más altas a nivel mundial. Disminuyendo en diciembre del mismo año a un 3.5% llegando a valores de menos de 1,5% a partir de febrero del 2022."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pKhHiVgYZAsT"
   },
   "source": [
    "## 4. Desde una perspectiva demográfica, ¿cuáles son las características que tienen un mayor impacto en el índice de letalidad de un país?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 238
    },
    "id": "usMKcxFKZCUE",
    "outputId": "3459a72d-7647-4a97-9127-93b0390c290e"
   },
   "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>lethality_rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>lethality_rate</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Life_Expectancy</th>\n",
       "      <td>0.121248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Female_Population</th>\n",
       "      <td>0.089236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total_Population</th>\n",
       "      <td>0.087057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male_Population</th>\n",
       "      <td>0.084966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Population_Density</th>\n",
       "      <td>-0.087394</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    lethality_rate\n",
       "lethality_rate            1.000000\n",
       "Life_Expectancy           0.121248\n",
       "Female_Population         0.089236\n",
       "Total_Population          0.087057\n",
       "Male_Population           0.084966\n",
       "Population_Density       -0.087394"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Características demográficas más relevantes\n",
    "df_filtrado = covid_lethality[\n",
    "    covid_lethality['Date_reported'] <= '2020-12-31'\n",
    "    ]\n",
    "\n",
    "df_agrupado = df_filtrado.groupby(\n",
    "    ['Country_code', 'Country'], as_index=False\n",
    ")['lethality_rate'].mean()\n",
    "\n",
    "df_final = pd.merge(\n",
    "    df_agrupado, population_cleaned, on='Country_code', how='inner'\n",
    "    )\n",
    "\n",
    "columnas_seleccionadas = [\n",
    "    'lethality_rate', 'Total_Population', 'Male_Population',\n",
    "    'Female_Population', 'Population_Density', 'Life_Expectancy',\n",
    "    ]\n",
    "\n",
    "df_final = df_final[columnas_seleccionadas]\n",
    "\n",
    "\n",
    "# Para hacer Regresión con Bosques Aleatorios\n",
    "\n",
    "X = df_final.drop(['lethality_rate'], axis=1)\n",
    "y = df_final['lethality_rate']\n",
    "model = RandomForestRegressor()\n",
    "model.fit(X, y)\n",
    "feature_importances = pd.Series(\n",
    "    model.feature_importances_, index=X.columns\n",
    ").sort_values(ascending=False)\n",
    "\n",
    "\n",
    "# Para Matriz de Correlación\n",
    "(\n",
    "    df_final\n",
    "    .corr()[['lethality_rate']]\n",
    "    .sort_values(by='lethality_rate', ascending = False)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 580
    },
    "id": "yVz5AmA8iNDG",
    "outputId": "f39c0ede-794b-4ee2-93af-2ad4bd8ddb32"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1300x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Para graficar Matriz de Correlación y el de Árbol de Decisiones\n",
    "\n",
    "fig, axs = plt.subplots(1, 2, figsize=(13, 5))\n",
    "\n",
    "fig.suptitle(\n",
    "    'Características demográficas más relevantes - Covid19',\n",
    "    fontsize=14, color='#212529', y=1.02\n",
    ")\n",
    "\n",
    "# Matriz de Correlación\n",
    "\n",
    "axs[0].set_title(\n",
    "    'Matriz de Correlación',\n",
    "    fontsize=12, color='#212529', loc='center'\n",
    ")\n",
    "\n",
    "covid_corr = df_final.drop(['lethality_rate'], axis=1)\n",
    "\n",
    "sns.heatmap(\n",
    "    covid_corr.corr(), annot=True, cmap='Spectral', ax=axs[0],\n",
    "    linewidths=2, linecolor='indigo', vmin=-0.5, vmax=0.5\n",
    ")\n",
    "\n",
    "axs[0].tick_params(axis='x', rotation=30)\n",
    "\n",
    "# Random Forest Regressor\n",
    "\n",
    "feature_importances.plot(kind='bar', ax=axs[1])\n",
    "\n",
    "# Para el eje Y poner porcentaje\n",
    "\n",
    "def porcentaje_formatter(y, pos):\n",
    "    return f'{y*100:.0f}%'\n",
    "\n",
    "formatter = FuncFormatter(porcentaje_formatter)\n",
    "\n",
    "axs[1].yaxis.set_major_formatter(formatter)\n",
    "axs[1].tick_params(axis='x', rotation=30)\n",
    "axs[1].set_ylabel('Importancia')\n",
    "\n",
    "axs[1].set_title(\n",
    "    'Regresión de Bosques Aleatorios',\n",
    "    fontsize=12, color='#212529', loc='center'\n",
    ")\n",
    "\n",
    "save_plot('demografia_relevante.png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Aunque en primera instancia estudiando la regresión del Random Forest muestra que la población es una característica de alto impacto la verdad con la matriz de correlación concluye que más sería la densidad poblacional una característica importante descartando la cantidad de población del país con sus respectivas cifras entre sexos.\r\n",
    "\r\n",
    "Podemos decir que la esperanza de vida __`Life_Expectancy`__ y la densidad poblacional __`Population_density`__ son las características que tienen un mayor impacto en el índice de letalidad."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusiones\n",
    "\n",
    "Cabe destacar que durante el 2020 registrando 10000 casos semanales de promedio tuvo una alta letalidad llegando al 14% lo cual es muy peligroso para cualquier sistema de salud que puede colapsar repentinamente, sin embargo llegando al 2022 alcanzando el pico de casos reportados e incluso representando la mayor cantidad de casos acumulados hasta la fecha, tiene una letalidad menor al 2% destacando a pesar del brote masivo de ese año no era muy mortal para la gente.\n",
    "\n",
    "> Se recomenda estudiar esta relación del año 2022 con la vacunación que relaciones tienen las personas que no se aplicaron las vacunas con las nuevas muertes registradas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Información de sesión\r\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "id": "cnn50XUW29u3",
    "outputId": "e8737b3e-45c6-4955-efd7-bb39a75c555d"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<details>\n",
       "<summary>Click to view session information</summary>\n",
       "<pre>\n",
       "-----\n",
       "calplot             0.1.7.5\n",
       "matplotlib          3.8.2\n",
       "numpy               1.26.4\n",
       "pandas              2.2.0\n",
       "requests            2.31.0\n",
       "seaborn             0.13.2\n",
       "session_info        1.0.0\n",
       "sklearn             1.4.0\n",
       "squarify            NA\n",
       "-----\n",
       "</pre>\n",
       "<details>\n",
       "<summary>Click to view modules imported as dependencies</summary>\n",
       "<pre>\n",
       "PIL                         10.2.0\n",
       "anyio                       NA\n",
       "arrow                       1.3.0\n",
       "asttokens                   NA\n",
       "attr                        23.2.0\n",
       "attrs                       23.2.0\n",
       "babel                       2.14.0\n",
       "brotli                      1.1.0\n",
       "certifi                     2024.02.02\n",
       "cffi                        1.16.0\n",
       "charset_normalizer          3.3.2\n",
       "colorama                    0.4.6\n",
       "comm                        0.2.1\n",
       "cycler                      0.12.1\n",
       "cython_runtime              NA\n",
       "dateutil                    2.8.2\n",
       "debugpy                     1.8.1\n",
       "decorator                   5.1.1\n",
       "defusedxml                  0.7.1\n",
       "et_xmlfile                  1.1.0\n",
       "executing                   2.0.1\n",
       "fastjsonschema              NA\n",
       "fqdn                        NA\n",
       "idna                        3.6\n",
       "ipykernel                   6.29.2\n",
       "isoduration                 NA\n",
       "jedi                        0.19.1\n",
       "jinja2                      3.1.3\n",
       "joblib                      1.3.2\n",
       "json5                       NA\n",
       "jsonpointer                 2.4\n",
       "jsonschema                  4.21.1\n",
       "jsonschema_specifications   NA\n",
       "jupyter_events              0.9.0\n",
       "jupyter_server              2.12.5\n",
       "jupyterlab_server           2.25.2\n",
       "kiwisolver                  1.4.5\n",
       "markupsafe                  2.1.5\n",
       "matplotlib_inline           0.1.6\n",
       "mpl_toolkits                NA\n",
       "nbformat                    5.9.2\n",
       "openpyxl                    3.1.2\n",
       "overrides                   NA\n",
       "packaging                   23.2\n",
       "parso                       0.8.3\n",
       "pickleshare                 0.7.5\n",
       "platformdirs                4.2.0\n",
       "prometheus_client           NA\n",
       "prompt_toolkit              3.0.42\n",
       "psutil                      5.9.8\n",
       "pure_eval                   0.2.2\n",
       "pyarrow                     15.0.0\n",
       "pydev_ipython               NA\n",
       "pydevconsole                NA\n",
       "pydevd                      2.9.5\n",
       "pydevd_file_utils           NA\n",
       "pydevd_plugins              NA\n",
       "pydevd_tracing              NA\n",
       "pygments                    2.17.2\n",
       "pyparsing                   3.1.1\n",
       "pythoncom                   NA\n",
       "pythonjsonlogger            NA\n",
       "pytz                        2024.1\n",
       "pywin32_system32            NA\n",
       "pywintypes                  NA\n",
       "referencing                 NA\n",
       "rfc3339_validator           0.1.4\n",
       "rfc3986_validator           0.1.1\n",
       "rpds                        NA\n",
       "scipy                       1.12.0\n",
       "send2trash                  NA\n",
       "six                         1.16.0\n",
       "sniffio                     1.3.0\n",
       "socks                       1.7.1\n",
       "stack_data                  0.6.2\n",
       "threadpoolctl               3.2.0\n",
       "tornado                     6.3.3\n",
       "traitlets                   5.14.1\n",
       "typing_extensions           NA\n",
       "uri_template                NA\n",
       "urllib3                     2.2.0\n",
       "wcwidth                     0.2.13\n",
       "webcolors                   1.13\n",
       "websocket                   1.7.0\n",
       "win32api                    NA\n",
       "win32com                    NA\n",
       "win32con                    NA\n",
       "win32trace                  NA\n",
       "winerror                    NA\n",
       "xlrd                        2.0.1\n",
       "yaml                        6.0.1\n",
       "zmq                         25.1.2\n",
       "</pre>\n",
       "</details> <!-- seems like this ends pre, so might as well be explicit -->\n",
       "<pre>\n",
       "-----\n",
       "IPython             8.21.0\n",
       "jupyter_client      8.6.0\n",
       "jupyter_core        5.7.1\n",
       "jupyterlab          4.1.0\n",
       "-----\n",
       "Python 3.11.7 | packaged by conda-forge | (main, Dec 23 2023, 14:27:59) [MSC v.1937 64 bit (AMD64)]\n",
       "Windows-10-10.0.19045-SP0\n",
       "-----\n",
       "Session information updated at 2024-02-10 20:58\n",
       "</pre>\n",
       "</details>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import session_info\n",
    "\n",
    "session_info.show()"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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