Análise_de_Dados_Covid_19.ipynb

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        "<a href=\"https://colab.research.google.com/github/rbolsoni/Portfolio-Data-Science/blob/master/An%C3%A1lise_de_Dados_Covid_19.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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        "![alt text](https://i.ibb.co/NSNJF2V/3488995.jpg)\n",
        "\n",
        "\n",
        "[![author](https://img.shields.io/badge/author-rbolsoni-orange.svg)](www.linkedin.com/in/rafabolsoni) \n",
        "[![author](https://img.shields.io/badge/see%20more-projects-brightgreen.svg)](https://github.com/rbolsoni) "
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      "source": [
        "# Introdução\n",
        "\n",
        "**Coronavírus** e **Novo Coronavírus** são os nomes dos vírus, e **CoViD-19** é o nome da doença provocada pelo Novo Coronavírus.\n",
        "\n",
        "**Identificados nos anos 1960**, os Coronavírus pertencem à subfamília taxonômica Orthocoronavirinae da família Coronaviridae, da ordem Nidovirales. Eles se subdividem em vários gêneros, espécies e cepas. Alguns atacam animais, outros afetam a espécie humana, causando desde doenças leves, com sintomas parecidos ao de um resfriado comum, até doenças graves como a SARS, a MERS e atual CoViD-19.\n",
        "\n",
        "**O Coronavírus ficou conhecido mundialmente em 2002** quando causou a SARS - a Síndrome Respiratória Aguda Grave - doença que se espalhou para vários países a partir da China fazendo cerca de 800 vítimas - 10% das 8.000 pessoas que se infectaram.\n",
        "\n",
        "**Uma nova cepa de Coronavírus, surgida na Jordânia em 2012**, causou a MERS - a Síndrome Respiratória do Oriente Médio - enfermidade que se disseminou no Oriente Médio e chegou até a Coréia do Sul, vitimando 35% das 2.500 pessoas que se contaminaram, doença que apresentou o impressionante índice de letalidade de 35%.\n",
        "\n",
        "E na China, em 2019, surgiu outra linhagem do vírus - o Novo Coronavírus - responsável pela doença CoViD-19 que está provocando esta pandemia. **Seu índice de mortalidade é de 3 a 4%**, mas a sua capacidade de **transmissão é muito maior do que as dos demais vírus, pois ele se transmite mesmo por pessoas sem nenhum tipo de sintoma** e tem uma capacidade e velocidade de reprodução muito superior as dos demais."
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      "source": [
        "## Covid-19 ou Coronavirus?\n",
        "\n",
        "**O que é COVID-19?**\n",
        "\n",
        "A COVID-19 é uma doença causada pelo coronavírus SARS-CoV-2, que apresenta um quadro clínico que varia de infecções assintomáticas a quadros respiratórios graves. De acordo com a Organização Mundial de Saúde (OMS), a maioria dos pacientes com COVID-19 (cerca de 80%) podem ser assintomáticos e cerca de 20% dos casos podem requerer atendimento hospitalar por apresentarem dificuldade respiratória e desses casos aproximadamente 5% podem necessitar de suporte para o tratamento de insuficiência respiratória (suporte ventilatório).\n",
        "\n",
        "**O que é o coronavírus?**\n",
        "\n",
        "Coronavírus é uma família de vírus que causam infecções respiratórias. O novo agente do coronavírus foi descoberto em 31/12/19 após casos registrados na China. Provoca a doença chamada de coronavírus (COVID-19).\n",
        "\n",
        "Os primeiros coronavírus humanos foram isolados pela primeira vez em 1937. No entanto, foi em 1965 que o vírus foi descrito como coronavírus, em decorrência do perfil na microscopia, parecendo uma coroa.\n",
        "\n",
        "A maioria das pessoas se infecta com os coronavírus comuns ao longo da vida, sendo as crianças pequenas mais propensas a se infectarem com o tipo mais comum do vírus. Os coronavírus mais comuns que infectam humanos são o alpha coronavírus 229E e NL63 e beta coronavírus OC43, HKU1.\n"
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        "## Sintomas\n",
        "\n",
        "**Quais são os sintomas**\n",
        "\n",
        "Os sintomas da COVID-19 podem variar de um simples resfriado até uma pneumonia severa. Sendo os sintomas mais comuns:\n",
        "\n",
        "* Tosse\n",
        "* Febre\n",
        "* Coriza\n",
        "* Dor de garganta\n",
        "* Dificuldade para respirar"
      ]
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        "## Transmissão\n",
        "**Como é transmitido**\n",
        "\n",
        "A transmissão acontece de uma pessoa doente para outra ou por contato próximo por meio de:\n",
        "* Toque do aperto de mão;\n",
        "* Gotículas de saliva;\n",
        "* Espirro;\n",
        "* Tosse;\n",
        "* Catarro;\n",
        "* Objetos ou superfícies contaminadas, como celulares, mesas, maçanetas, brinquedos, teclados de computador etc."
      ]
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      "source": [
        "# Origem dos dados\n",
        "\n",
        "Os dados foram tirados repósitorio no Github do [OurWorldInData](https://ourworldindata.org/) que é uma organização sem fins lucrativos que coleta e fornece gratuitamente dados sobre principalmente \"pobreza, doença, fome, mudança climática, guerra, riscos existenciais e desigualdade\". Os dados mundiais sobre Covid-19 são atualizados diariamente pela organização que é uma das mais respeitadas no mundo relacionada ao fornecimento de dados. Você pode acessar esses dados públicos atualizados [aqui](https://github.com/owid/covid-19-data/tree/master/public/data).\n",
        "\n",
        "As informações dessa análise foram atualizadas dia 30/06/2020."
      ]
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      "source": [
        "## Biblioteca\n",
        "\n",
        "A compreensão dos dados é tão importante quanto a análise exploratória, pois se não entender o que significa e de onde vem os dados não poderá realizar uma análise plena.\n",
        "\n",
        "Coluna|Descrição|Origem\n",
        "------|-----------|------\n",
        "`iso_code`|Letras códigos dos países com base na ISO 3166-1 alpha-3|International Organization for Standardization\n",
        "`continent`|Continente|Our World in Data\n",
        "`location`|Localização Geográfica|Our World in Data\n",
        "`date`|Data da observação|Our World in Data\n",
        "`total_cases`|Total de casos confirmados de COVID-19|Centro Europeu de Prevenção e Controle de Doenças\n",
        "`new_cases`|Novos casos confirmados de COVID-19|Centro Europeu de Prevenção e Controle de Doenças\n",
        "`total_deaths`|Total de mortes atribuidas ao COVID-19|Centro Europeu de Prevenção e Controle de Doenças\n",
        "`new_deaths`|Novas mortes atribuidas ao COVID-19|Centro Europeu de Prevenção e Controle de Doenças\n",
        "`total_cases_per_million`|Total de casos confirmados de COVID-19 por 1,000,000 de habitantes|Centro Europeu de Prevenção e Controle de Doenças\n",
        "`new_cases_per_million`|Novos casos confirmados de COVID-19 por 1,000,000 de habitantes|Centro Europeu de Prevenção e Controle de Doenças\n",
        "`total_deaths_per_million`|Total de mortes atribuidas ao COVID-19 pr 1,000,000 de habitantes|Centro Europeu de Prevenção e Controle de Doenças\n",
        "`new_deaths_per_million`|Novas mortes atribuidas ao COVID-19 por 1,000,000 de habitantes|Centro Europeu de Prevenção e Controle de Doenças\n",
        "`total_tests`|Total de testes para COVID-19|National government reports\n",
        "`new_tests`|Novos testes para COVID-19|National government reports\n",
        "`new_tests_smoothed`|Novos testes para COVID-19 (suavizados por 7 dias).|National government reports\n",
        "`total_tests_per_thousand`|Total testes para COVID-19 por 1,000 habitantes|National government reports\n",
        "`new_tests_per_thousand`|New testes para COVID-19 por 1,000 habitantes|National government reports\n",
        "`new_tests_smoothed_per_thousand`|New testes para COVID-19 (suavizados por 7 dias) por 1,000 habitantes|National government reports\n",
        "`tests_units`|Unidades usadas pelo local para relatar seus dados de teste|National government reports\n",
        "`stringency_index`|Índice de Estresse da Resposta do Governo|Oxford COVID-19 Government Response Tracker, Blavatnik School of Government\n",
        "`population`|População em 2020|United Nations\n",
        "`population_density`|Densidade demografica (em km²)|World Bank \n",
        "`median_age`|Média de idade da população|UN Population Division\n",
        "`aged_65_older`|Proporção da população com 65 anos ou mais, ano mais recente disponível|Banco Mundial\n",
        "`aged_70_older`|Percentagem da população com 70 anos ou mais em 2015 | Nações Unidas, Departamento de Assuntos Econômicos e Sociais, Divisão de População (2017)\n",
        "`gdp_per_capita`|Produto interno bruto em paridade de poder de compra (dólares internacionais constantes de 2011), ano mais recente disponível | Banco Mundial \n",
        "`extreme_poverty`|Percentagem da população que vive em extrema pobreza, ano mais recente disponível desde 2010 | Banco Mundial - \n",
        "`cvd_death_rate`|Taxa de mortalidade por doenças cardiovasculares em 2017 | Rede Colaborativa Global de Carga de Doenças\n",
        "`diabetes_prevalence`|Prevalência de diabetes (% da população entre 20 e 79 anos) em 2017 | Banco Mundial\n",
        "`female_smokers` | Percentagem de mulheres que fumam, ano mais recente disponível | Banco Mundial\n",
        "`male_smokers` | Percentagem de homens que fuma, ano mais recente disponível | Banco Mundial\n",
        "`hospital_beds_per_thousand` | Percentagem da população com instalações básicas de lavagem das mãos nas instalações, no ano mais recente disponível | Divisão de Estatística das Nações Unidas\n",
        "`hospital_beds_per_thousand` | Camas de hospital por 1.000 pessoas, ano mais recente disponível desde 2010 | OCDE, Eurostat, Banco Mundial, registros do governo nacional e outras fontes\n",
        "`life_expectancy` | Expectativa de vida no nascimento em 2019 | James C. Riley, Clio Infra, Divisão de População das Nações Unidas"
      ]
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      "source": [
        "# Análise Exploratória\n",
        "\n",
        "Agora iremos importar as bibliotecas que iremos utilizas e depois vamos visualizar a composição geral do nosso dataframe."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "A6pdpWvnGV_p",
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      "source": [
        "#importando as bibliotecas e dataframe\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import numpy as np\n",
        "\n",
        "sns.set()\n",
        "\n",
        "DATA_PATH = 'https://covid.ourworldindata.org/data/owid-covid-data.csv'\n",
        "df = pd.read_csv(DATA_PATH)"
      ],
      "execution_count": 139,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MgA9I45BGW9B",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 309
        },
        "outputId": "c0958391-da6b-4749-9ab6-f68b01d9ab1d"
      },
      "source": [
        "#Vamos ver as 5 primeiras entradas\n",
        "\n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
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              "      <td>2.581</td>\n",
              "      <td>1.337</td>\n",
              "      <td>1803.987</td>\n",
              "      <td>NaN</td>\n",
              "      <td>597.029</td>\n",
              "      <td>9.59</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>37.746</td>\n",
              "      <td>0.5</td>\n",
              "      <td>64.83</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  iso_code continent  ... hospital_beds_per_thousand life_expectancy\n",
              "0      AFG      Asia  ...                        0.5           64.83\n",
              "1      AFG      Asia  ...                        0.5           64.83\n",
              "2      AFG      Asia  ...                        0.5           64.83\n",
              "3      AFG      Asia  ...                        0.5           64.83\n",
              "4      AFG      Asia  ...                        0.5           64.83\n",
              "\n",
              "[5 rows x 34 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZKCgzF6MRuNY",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "616125c1-856f-4aae-9005-81d628227378"
      },
      "source": [
        "#o tamanho do dataframe\n",
        "\n",
        "df.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(27169, 34)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iCg_TKqJR0CJ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 221
        },
        "outputId": "5936205a-3329-4d2e-bca8-24af0c2f938a"
      },
      "source": [
        "# ver o nome das colunas\n",
        "\n",
        "df.columns"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['iso_code', 'continent', 'location', 'date', 'total_cases', 'new_cases',\n",
              "       'total_deaths', 'new_deaths', 'total_cases_per_million',\n",
              "       'new_cases_per_million', 'total_deaths_per_million',\n",
              "       'new_deaths_per_million', 'total_tests', 'new_tests',\n",
              "       'total_tests_per_thousand', 'new_tests_per_thousand',\n",
              "       'new_tests_smoothed', 'new_tests_smoothed_per_thousand', 'tests_units',\n",
              "       'stringency_index', 'population', 'population_density', 'median_age',\n",
              "       'aged_65_older', 'aged_70_older', 'gdp_per_capita', 'extreme_poverty',\n",
              "       'cvd_death_rate', 'diabetes_prevalence', 'female_smokers',\n",
              "       'male_smokers', 'handwashing_facilities', 'hospital_beds_per_thousand',\n",
              "       'life_expectancy'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tdY7OJK5ShOz",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 612
        },
        "outputId": "a75574c0-a01f-4aef-cd11-04448bb55164"
      },
      "source": [
        "#tipos de dados\n",
        "\n",
        "df.dtypes"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "iso_code                            object\n",
              "continent                           object\n",
              "location                            object\n",
              "date                                object\n",
              "total_cases                        float64\n",
              "new_cases                          float64\n",
              "total_deaths                       float64\n",
              "new_deaths                         float64\n",
              "total_cases_per_million            float64\n",
              "new_cases_per_million              float64\n",
              "total_deaths_per_million           float64\n",
              "new_deaths_per_million             float64\n",
              "total_tests                        float64\n",
              "new_tests                          float64\n",
              "total_tests_per_thousand           float64\n",
              "new_tests_per_thousand             float64\n",
              "new_tests_smoothed                 float64\n",
              "new_tests_smoothed_per_thousand    float64\n",
              "tests_units                         object\n",
              "stringency_index                   float64\n",
              "population                         float64\n",
              "population_density                 float64\n",
              "median_age                         float64\n",
              "aged_65_older                      float64\n",
              "aged_70_older                      float64\n",
              "gdp_per_capita                     float64\n",
              "extreme_poverty                    float64\n",
              "cvd_death_rate                     float64\n",
              "diabetes_prevalence                float64\n",
              "female_smokers                     float64\n",
              "male_smokers                       float64\n",
              "handwashing_facilities             float64\n",
              "hospital_beds_per_thousand         float64\n",
              "life_expectancy                    float64\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vEiEx_VeWQM4",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 612
        },
        "outputId": "fa5f9d64-d728-4038-8d3d-9fe0cbb5291c"
      },
      "source": [
        "# % de dados faltantes\n",
        "\n",
        "(df.isnull().sum() / df.shape[0]).sort_values(ascending=False) * 100"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "new_tests                          74.182828\n",
              "new_tests_per_thousand             74.182828\n",
              "total_tests_per_thousand           71.677441\n",
              "total_tests                        71.677441\n",
              "new_tests_smoothed_per_thousand    69.376575\n",
              "new_tests_smoothed                 69.376575\n",
              "tests_units                        67.115883\n",
              "handwashing_facilities             59.176071\n",
              "extreme_poverty                    40.341843\n",
              "male_smokers                       28.494211\n",
              "female_smokers                     27.654213\n",
              "stringency_index                   19.926226\n",
              "hospital_beds_per_thousand         17.413535\n",
              "aged_65_older                      10.985720\n",
              "gdp_per_capita                     10.730068\n",
              "aged_70_older                      10.167634\n",
              "median_age                          9.703809\n",
              "cvd_death_rate                      9.594244\n",
              "diabetes_prevalence                 6.654249\n",
              "population_density                  4.375297\n",
              "life_expectancy                     1.395128\n",
              "new_deaths_per_million              1.018955\n",
              "total_deaths_per_million            1.018955\n",
              "new_cases_per_million               1.018955\n",
              "total_cases_per_million             1.018955\n",
              "continent                           0.905738\n",
              "new_deaths                          0.785216\n",
              "total_deaths                        0.785216\n",
              "new_cases                           0.785216\n",
              "total_cases                         0.785216\n",
              "population                          0.233739\n",
              "iso_code                            0.233739\n",
              "date                                0.000000\n",
              "location                            0.000000\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u8yxE9IUW2nf",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# transformar a coluna 'date' no formato datetime\n",
        "\n",
        "df.date = pd.to_datetime(df.date)\n",
        "df.date.max()\n",
        "df.set_index('date', inplace=True)"
      ],
      "execution_count": 45,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vVv8_m-WicYS",
        "colab_type": "text"
      },
      "source": [
        "### Informações estatísticas gerais\n",
        "\n",
        "Agora que os dados estão no formato correto, iremos ver algumas informações estatísticas gerais dos nossos dados."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TiTfSpMminNs",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 317
        },
        "outputId": "f0a033f9-179b-4dff-8069-8972233d9de5"
      },
      "source": [
        "df.describe()"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>total_cases</th>\n",
              "      <th>new_cases</th>\n",
              "      <th>total_deaths</th>\n",
              "      <th>new_deaths</th>\n",
              "      <th>total_cases_per_million</th>\n",
              "      <th>new_cases_per_million</th>\n",
              "      <th>total_deaths_per_million</th>\n",
              "      <th>new_deaths_per_million</th>\n",
              "      <th>total_tests</th>\n",
              "      <th>new_tests</th>\n",
              "      <th>total_tests_per_thousand</th>\n",
              "      <th>new_tests_per_thousand</th>\n",
              "      <th>new_tests_smoothed</th>\n",
              "      <th>new_tests_smoothed_per_thousand</th>\n",
              "      <th>stringency_index</th>\n",
              "      <th>population</th>\n",
              "      <th>population_density</th>\n",
              "      <th>median_age</th>\n",
              "      <th>aged_65_older</th>\n",
              "      <th>aged_70_older</th>\n",
              "      <th>gdp_per_capita</th>\n",
              "      <th>extreme_poverty</th>\n",
              "      <th>cvd_death_rate</th>\n",
              "      <th>diabetes_prevalence</th>\n",
              "      <th>female_smokers</th>\n",
              "      <th>male_smokers</th>\n",
              "      <th>handwashing_facilities</th>\n",
              "      <th>hospital_beds_per_thousand</th>\n",
              "      <th>life_expectancy</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>2.758600e+04</td>\n",
              "      <td>27586.000000</td>\n",
              "      <td>27586.000000</td>\n",
              "      <td>27586.000000</td>\n",
              "      <td>27522.000000</td>\n",
              "      <td>27522.000000</td>\n",
              "      <td>27522.000000</td>\n",
              "      <td>27522.000000</td>\n",
              "      <td>8.274000e+03</td>\n",
              "      <td>7830.000000</td>\n",
              "      <td>8274.000000</td>\n",
              "      <td>7830.000000</td>\n",
              "      <td>8862.000000</td>\n",
              "      <td>8862.000000</td>\n",
              "      <td>22601.000000</td>\n",
              "      <td>2.774600e+04</td>\n",
              "      <td>26590.000000</td>\n",
              "      <td>25105.000000</td>\n",
              "      <td>24748.000000</td>\n",
              "      <td>24976.000000</td>\n",
              "      <td>24818.000000</td>\n",
              "      <td>16588.000000</td>\n",
              "      <td>25135.000000</td>\n",
              "      <td>25954.000000</td>\n",
              "      <td>20100.000000</td>\n",
              "      <td>19866.000000</td>\n",
              "      <td>11372.000000</td>\n",
              "      <td>22952.000000</td>\n",
              "      <td>27422.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>3.511471e+04</td>\n",
              "      <td>786.288335</td>\n",
              "      <td>2071.546654</td>\n",
              "      <td>37.780976</td>\n",
              "      <td>841.527680</td>\n",
              "      <td>15.666556</td>\n",
              "      <td>33.929004</td>\n",
              "      <td>0.529292</td>\n",
              "      <td>5.583036e+05</td>\n",
              "      <td>14414.377011</td>\n",
              "      <td>22.481129</td>\n",
              "      <td>0.489484</td>\n",
              "      <td>13505.234146</td>\n",
              "      <td>0.466382</td>\n",
              "      <td>58.293704</td>\n",
              "      <td>9.888628e+07</td>\n",
              "      <td>371.341517</td>\n",
              "      <td>31.821944</td>\n",
              "      <td>9.561929</td>\n",
              "      <td>6.071923</td>\n",
              "      <td>21952.171300</td>\n",
              "      <td>11.109338</td>\n",
              "      <td>248.138655</td>\n",
              "      <td>8.021902</td>\n",
              "      <td>11.079295</td>\n",
              "      <td>32.640769</td>\n",
              "      <td>53.847949</td>\n",
              "      <td>3.171080</td>\n",
              "      <td>74.384833</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>3.520781e+05</td>\n",
              "      <td>6996.074111</td>\n",
              "      <td>20168.676750</td>\n",
              "      <td>336.595170</td>\n",
              "      <td>2168.007454</td>\n",
              "      <td>63.380454</td>\n",
              "      <td>114.017886</td>\n",
              "      <td>3.079409</td>\n",
              "      <td>2.140930e+06</td>\n",
              "      <td>49942.519101</td>\n",
              "      <td>37.220547</td>\n",
              "      <td>0.801565</td>\n",
              "      <td>45119.477688</td>\n",
              "      <td>0.695719</td>\n",
              "      <td>31.258059</td>\n",
              "      <td>6.538735e+08</td>\n",
              "      <td>1706.492306</td>\n",
              "      <td>8.996909</td>\n",
              "      <td>6.407849</td>\n",
              "      <td>4.392206</td>\n",
              "      <td>20880.953473</td>\n",
              "      <td>18.416294</td>\n",
              "      <td>118.272550</td>\n",
              "      <td>4.091153</td>\n",
              "      <td>10.537583</td>\n",
              "      <td>13.325781</td>\n",
              "      <td>31.317365</td>\n",
              "      <td>2.571082</td>\n",
              "      <td>7.270999</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>-29726.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-1918.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-437.881000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-41.023000</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>-3743.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-0.212000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>8.090000e+02</td>\n",
              "      <td>0.137000</td>\n",
              "      <td>15.100000</td>\n",
              "      <td>1.144000</td>\n",
              "      <td>0.526000</td>\n",
              "      <td>661.240000</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>79.370000</td>\n",
              "      <td>0.990000</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>7.700000</td>\n",
              "      <td>1.188000</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>53.280000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>1.500000e+01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.736500</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.091700e+04</td>\n",
              "      <td>811.000000</td>\n",
              "      <td>1.069250</td>\n",
              "      <td>0.048000</td>\n",
              "      <td>920.000000</td>\n",
              "      <td>0.051000</td>\n",
              "      <td>36.110000</td>\n",
              "      <td>1.932774e+06</td>\n",
              "      <td>39.497000</td>\n",
              "      <td>25.000000</td>\n",
              "      <td>3.808000</td>\n",
              "      <td>2.242000</td>\n",
              "      <td>6222.554000</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>152.783000</td>\n",
              "      <td>5.310000</td>\n",
              "      <td>1.900000</td>\n",
              "      <td>21.400000</td>\n",
              "      <td>23.437000</td>\n",
              "      <td>1.380000</td>\n",
              "      <td>70.780000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2.700000e+02</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>93.831500</td>\n",
              "      <td>0.530000</td>\n",
              "      <td>0.980000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>8.800900e+04</td>\n",
              "      <td>2651.000000</td>\n",
              "      <td>6.052500</td>\n",
              "      <td>0.209000</td>\n",
              "      <td>2979.000000</td>\n",
              "      <td>0.222000</td>\n",
              "      <td>69.440000</td>\n",
              "      <td>9.006400e+06</td>\n",
              "      <td>90.672000</td>\n",
              "      <td>31.900000</td>\n",
              "      <td>7.150000</td>\n",
              "      <td>4.593000</td>\n",
              "      <td>15308.712000</td>\n",
              "      <td>1.700000</td>\n",
              "      <td>235.848000</td>\n",
              "      <td>7.110000</td>\n",
              "      <td>6.900000</td>\n",
              "      <td>31.400000</td>\n",
              "      <td>59.550000</td>\n",
              "      <td>2.540000</td>\n",
              "      <td>75.880000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>3.036500e+03</td>\n",
              "      <td>74.000000</td>\n",
              "      <td>69.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>591.079250</td>\n",
              "      <td>8.491000</td>\n",
              "      <td>13.919000</td>\n",
              "      <td>0.107000</td>\n",
              "      <td>3.364230e+05</td>\n",
              "      <td>8368.250000</td>\n",
              "      <td>28.945250</td>\n",
              "      <td>0.644000</td>\n",
              "      <td>8430.750000</td>\n",
              "      <td>0.627000</td>\n",
              "      <td>83.330000</td>\n",
              "      <td>3.286627e+07</td>\n",
              "      <td>222.873000</td>\n",
              "      <td>40.100000</td>\n",
              "      <td>14.952000</td>\n",
              "      <td>9.732000</td>\n",
              "      <td>34272.360000</td>\n",
              "      <td>14.800000</td>\n",
              "      <td>317.840000</td>\n",
              "      <td>10.080000</td>\n",
              "      <td>19.800000</td>\n",
              "      <td>40.900000</td>\n",
              "      <td>83.841000</td>\n",
              "      <td>4.210000</td>\n",
              "      <td>80.180000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1.084528e+07</td>\n",
              "      <td>200215.000000</td>\n",
              "      <td>521113.000000</td>\n",
              "      <td>10489.000000</td>\n",
              "      <td>33979.508000</td>\n",
              "      <td>4944.376000</td>\n",
              "      <td>1237.551000</td>\n",
              "      <td>200.040000</td>\n",
              "      <td>3.346218e+07</td>\n",
              "      <td>648838.000000</td>\n",
              "      <td>337.395000</td>\n",
              "      <td>13.467000</td>\n",
              "      <td>608161.000000</td>\n",
              "      <td>9.451000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>7.794799e+09</td>\n",
              "      <td>19347.500000</td>\n",
              "      <td>48.200000</td>\n",
              "      <td>27.049000</td>\n",
              "      <td>18.493000</td>\n",
              "      <td>116935.600000</td>\n",
              "      <td>77.600000</td>\n",
              "      <td>724.417000</td>\n",
              "      <td>23.360000</td>\n",
              "      <td>44.000000</td>\n",
              "      <td>78.100000</td>\n",
              "      <td>98.999000</td>\n",
              "      <td>13.800000</td>\n",
              "      <td>86.750000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        total_cases      new_cases  ...  hospital_beds_per_thousand  life_expectancy\n",
              "count  2.758600e+04   27586.000000  ...                22952.000000     27422.000000\n",
              "mean   3.511471e+04     786.288335  ...                    3.171080        74.384833\n",
              "std    3.520781e+05    6996.074111  ...                    2.571082         7.270999\n",
              "min    0.000000e+00  -29726.000000  ...                    0.100000        53.280000\n",
              "25%    1.500000e+01       0.000000  ...                    1.380000        70.780000\n",
              "50%    2.700000e+02       4.000000  ...                    2.540000        75.880000\n",
              "75%    3.036500e+03      74.000000  ...                    4.210000        80.180000\n",
              "max    1.084528e+07  200215.000000  ...                   13.800000        86.750000\n",
              "\n",
              "[8 rows x 29 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "R0irSRK1jbdT",
        "colab_type": "text"
      },
      "source": [
        "## Correlação\n",
        "\n",
        "É uma medida de correlação de postos, ou seja, verifica a semelhança entre as ordens dos dados quando classificados por cada uma das quantidades. Recebe este nome em homenagem ao estatístico britânico Maurice Kendall, que o desenvolveu em 1938.\n",
        "A correlação de Kendall leva em consideração apenas a concordância direcional dos chamados pares concordantes e discordantes.\n",
        "\n",
        ">$ r = \\frac{(quantidade-de-pares-concordantes) - (quantidade-de-pares-discordantes)}{n(n-1)/2}$\n",
        "\n",
        "O mapa de calor abaixo é um elemento visual de correlações, que vai de -1 á 1, onde -1 é considerado nenhuma correlação e 1 é considerado uma perfeita correlação.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6IRC7BOopTii",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "correlation = df[['total_deaths','total_cases',\n",
        "       'population', 'population_density',\n",
        "       'median_age', 'aged_65_older', 'aged_70_older', 'gdp_per_capita',\n",
        "       'cvd_death_rate', 'diabetes_prevalence', 'life_expectancy', \n",
        "       'total_deaths_per_million', 'total_cases_per_million', 'extreme_poverty']].corr()"
      ],
      "execution_count": 143,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "05T6dZyyBwM2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 719
        },
        "outputId": "b425860d-7aae-4b76-849d-8b1e8331febf"
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(10,10))   \n",
        "\n",
        "sns.heatmap(correlation, annot=True, fmt='.2f', ax=ax, square=True, linecolor='white', cmap='RdBu', cbar=False);"
      ],
      "execution_count": 145,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CjEiPllu1Ipi",
        "colab_type": "text"
      },
      "source": [
        "Aqui podemos observar varias correlações e fazer algumas suposições. Colocarei abaixo algumas suposições que tem relação com o assunto o texto, apesar de poder tirar varios outros insights desse mapa de calor.\n",
        "\n",
        "* `gdp_per_capita`, ou seja *Produto interno bruto em paridade de poder de compra* não tem uma relação direta com a quantidade de casos, nem com a quantidade de mortos no total, mas tem uma relação direta com uma expectativa de vida maior.\n",
        "\n",
        "* Mesmo paises com uma população maior, não resulta e maior taxa da casos e nem de mortos por milhão.\n",
        "\n",
        "* Países com uma alta taxa de pobreza extrema tem uma correlação direta com a taxa de morte para cada contaminado.\n",
        "\n",
        "* Podemos obervar tambem que há uma correlação em quantidade de pessoas com diabetes e a taxa de mortalidade de contaminados.\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8NgOkBRHJxgn",
        "colab_type": "text"
      },
      "source": [
        "# Visualizando os dados mundiais\n",
        "\n",
        "Os dados em tabelas são ruins para análisar e visualizar as informações com o passar do tempo e para fazer comparações. Por isso vamos agora visualizar todos os dados em formatos de gráficos para termos outras visões com relação a esses dados."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c51zpgfiJ5j8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 340
        },
        "outputId": "709839f6-4659-418c-f707-e288fc423847"
      },
      "source": [
        "df_world = df[df['location'] == 'World']\n",
        "\n",
        "df_world.head()"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>iso_code</th>\n",
              "      <th>continent</th>\n",
              "      <th>location</th>\n",
              "      <th>total_cases</th>\n",
              "      <th>new_cases</th>\n",
              "      <th>total_deaths</th>\n",
              "      <th>new_deaths</th>\n",
              "      <th>total_cases_per_million</th>\n",
              "      <th>new_cases_per_million</th>\n",
              "      <th>total_deaths_per_million</th>\n",
              "      <th>new_deaths_per_million</th>\n",
              "      <th>total_tests</th>\n",
              "      <th>new_tests</th>\n",
              "      <th>total_tests_per_thousand</th>\n",
              "      <th>new_tests_per_thousand</th>\n",
              "      <th>new_tests_smoothed</th>\n",
              "      <th>new_tests_smoothed_per_thousand</th>\n",
              "      <th>tests_units</th>\n",
              "      <th>stringency_index</th>\n",
              "      <th>population</th>\n",
              "      <th>population_density</th>\n",
              "      <th>median_age</th>\n",
              "      <th>aged_65_older</th>\n",
              "      <th>aged_70_older</th>\n",
              "      <th>gdp_per_capita</th>\n",
              "      <th>extreme_poverty</th>\n",
              "      <th>cvd_death_rate</th>\n",
              "      <th>diabetes_prevalence</th>\n",
              "      <th>female_smokers</th>\n",
              "      <th>male_smokers</th>\n",
              "      <th>handwashing_facilities</th>\n",
              "      <th>hospital_beds_per_thousand</th>\n",
              "      <th>life_expectancy</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>date</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",
              "      <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>2019-12-31</th>\n",
              "      <td>OWID_WRL</td>\n",
              "      <td>NaN</td>\n",
              "      <td>World</td>\n",
              "      <td>27.0</td>\n",
              "      <td>27.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.794799e+09</td>\n",
              "      <td>58.045</td>\n",
              "      <td>30.9</td>\n",
              "      <td>8.696</td>\n",
              "      <td>5.355</td>\n",
              "      <td>15469.207</td>\n",
              "      <td>10.0</td>\n",
              "      <td>233.07</td>\n",
              "      <td>8.51</td>\n",
              "      <td>6.434</td>\n",
              "      <td>34.635</td>\n",
              "      <td>60.13</td>\n",
              "      <td>2.705</td>\n",
              "      <td>72.58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-01-01</th>\n",
              "      <td>OWID_WRL</td>\n",
              "      <td>NaN</td>\n",
              "      <td>World</td>\n",
              "      <td>27.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.794799e+09</td>\n",
              "      <td>58.045</td>\n",
              "      <td>30.9</td>\n",
              "      <td>8.696</td>\n",
              "      <td>5.355</td>\n",
              "      <td>15469.207</td>\n",
              "      <td>10.0</td>\n",
              "      <td>233.07</td>\n",
              "      <td>8.51</td>\n",
              "      <td>6.434</td>\n",
              "      <td>34.635</td>\n",
              "      <td>60.13</td>\n",
              "      <td>2.705</td>\n",
              "      <td>72.58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-01-02</th>\n",
              "      <td>OWID_WRL</td>\n",
              "      <td>NaN</td>\n",
              "      <td>World</td>\n",
              "      <td>27.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.003</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.794799e+09</td>\n",
              "      <td>58.045</td>\n",
              "      <td>30.9</td>\n",
              "      <td>8.696</td>\n",
              "      <td>5.355</td>\n",
              "      <td>15469.207</td>\n",
              "      <td>10.0</td>\n",
              "      <td>233.07</td>\n",
              "      <td>8.51</td>\n",
              "      <td>6.434</td>\n",
              "      <td>34.635</td>\n",
              "      <td>60.13</td>\n",
              "      <td>2.705</td>\n",
              "      <td>72.58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-01-03</th>\n",
              "      <td>OWID_WRL</td>\n",
              "      <td>NaN</td>\n",
              "      <td>World</td>\n",
              "      <td>44.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.002</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.794799e+09</td>\n",
              "      <td>58.045</td>\n",
              "      <td>30.9</td>\n",
              "      <td>8.696</td>\n",
              "      <td>5.355</td>\n",
              "      <td>15469.207</td>\n",
              "      <td>10.0</td>\n",
              "      <td>233.07</td>\n",
              "      <td>8.51</td>\n",
              "      <td>6.434</td>\n",
              "      <td>34.635</td>\n",
              "      <td>60.13</td>\n",
              "      <td>2.705</td>\n",
              "      <td>72.58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2020-01-04</th>\n",
              "      <td>OWID_WRL</td>\n",
              "      <td>NaN</td>\n",
              "      <td>World</td>\n",
              "      <td>44.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.006</td>\n",
              "      <td>0.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>7.794799e+09</td>\n",
              "      <td>58.045</td>\n",
              "      <td>30.9</td>\n",
              "      <td>8.696</td>\n",
              "      <td>5.355</td>\n",
              "      <td>15469.207</td>\n",
              "      <td>10.0</td>\n",
              "      <td>233.07</td>\n",
              "      <td>8.51</td>\n",
              "      <td>6.434</td>\n",
              "      <td>34.635</td>\n",
              "      <td>60.13</td>\n",
              "      <td>2.705</td>\n",
              "      <td>72.58</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            iso_code continent  ... hospital_beds_per_thousand  life_expectancy\n",
              "date                            ...                                            \n",
              "2019-12-31  OWID_WRL       NaN  ...                      2.705            72.58\n",
              "2020-01-01  OWID_WRL       NaN  ...                      2.705            72.58\n",
              "2020-01-02  OWID_WRL       NaN  ...                      2.705            72.58\n",
              "2020-01-03  OWID_WRL       NaN  ...                      2.705            72.58\n",
              "2020-01-04  OWID_WRL       NaN  ...                      2.705            72.58\n",
              "\n",
              "[5 rows x 33 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9du_VFlf-qey",
        "colab_type": "text"
      },
      "source": [
        "### Taxa de mortalidade"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0RQSf_83KxR7",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "outputId": "4beeddc7-1a93-492d-912c-85291eb11e6a"
      },
      "source": [
        "fig, ax = plt.subplots(figsize=[15, 6])\n",
        "\n",
        "ax.plot(df_world[['total_cases', 'total_deaths']])\n",
        "ax.set_title('Casos x Mortes')\n",
        "ax.set_ylabel('Quantidade')\n",
        "ax.set_xlabel('Tempo')\n",
        "fig.autofmt_xdate()\n",
        "\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "execution_count": 127,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QG44Mo__-w83",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "outputId": "b9fbc0bf-4d8c-406a-b521-7df6a9c2d446"
      },
      "source": [
        "df_mort = (df_world.total_deaths / df_world.total_cases) * 100\n",
        "print(df_mort)"
      ],
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "date\n",
            "2019-12-31    0.000000\n",
            "2020-01-01    0.000000\n",
            "2020-01-02    0.000000\n",
            "2020-01-03    0.000000\n",
            "2020-01-04    0.000000\n",
            "                ...   \n",
            "2020-06-29    4.959696\n",
            "2020-06-30    4.918604\n",
            "2020-07-01    4.882874\n",
            "2020-07-02    4.837448\n",
            "2020-07-03    4.804977\n",
            "Length: 186, dtype: float64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "flg5JCKO_wBz",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "outputId": "7f2520ef-8e3c-42f8-89bb-b170fadacaaf"
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(18,6))\n",
        "ax.plot(df_mort)\n",
        "ax.set_title('Taxa de mortalidade mundial')\n",
        "ax.set_ylabel('% de mortalidade')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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IC8flcEj/8nd5igv3dXYkAPgIg8GgpCh/JUX569alSTpR3KS9p2v1xqEL2nqgQnHhvrpmVoxmpYVx1CCAYaEQBAAAgMtq6+rXI88fV1+/TT+8LVcxoRxlA2B8czOblJcWqry0ULV39etAfp3eOValx189q1d2l2nF3DjNzQiX2WR0dlQA4xiFIAAAAFxSd++AfvXCcbV09OnuW3IoAwFMOH7e7lqWF6OlM6J17FyDNu89rz+8VqBX3y3TijlxWjA9gtMfAPhEFIIAAABwOX0DNv36xZOqauzSXTdOV1K0v7MjAcBnZjQYNCM1VLkpITpV2qxNe8v0pzfO6dW95VqWF6MrsiPl5eHm7JgAxhEKQQAAALiUQZtd//3yaRVXtmndmkxlTglydiQAGBEGg0HTE4M0bUqgCipatWVfuV58p0Sb95ZrUVakluXFKMjfw9kxAYwDFIIAAABwGYM2u57YfFanSpv0d8tTNTMt1NmRAGDEGQwGpcdZlR5n1fnaDm07VKHthyu1/XClZk0N1fJZsQoJ4QJKgCsbs0Kwr69PDzzwgPbt2yeLxaLs7Gz927/921itHgAAAC6usbVHv3/1jEqq23XTFYlanB3l7EgAMOriwn31jVUZ+sKiRL15+IJ2nqjW/jN1io/wU2aCVdlJIYqP8JXRwNWJAVcyZoXgL3/5S1ksFm3btk0Gg0GNjY1jtWoAAAC4uEMF9Xp6a4Ekh/7f9RmaPTXM2ZEAYEwF+XvolqXJun5+vPacqtWp8mZt2Xdem/eel7+Pu7KTgpWdFKy0WKss7lyIBJjsxqQQ7Orq0saNG7Vz504Z3vurQ3Bw8FisGgAAAC6sb8Cm57af064TNZoS6advXJ+h0ABPZ8cCAKfx8nDTspkx+tKKqSqraNapkiYdK2rQ/rN12nm8WiajQQmRfkqLtSo9NkCJUf5yd6MgBCYbg8PhcIz2SgoKCnTnnXdq2bJlOnDggLy9vXXXXXcpLy9vtFcNAAAAF1Ve066H/nRIlfWd+sKSZN22PE1mk9HZsQBgXBoYtOlUSZNOFjXoVEmjii+0yu6Q3MxGpcZZlZEQpPSEQKXGBcrHkysWAxPdmBSCZ86c0dq1a/Xwww9r1Xv7sjMAACAASURBVKpVOnHihNatW6c333xTPj4+w3qPpqZO2e2jHnVcCQnxVUNDh7NjAGOC8Y6JjjEMVzIRxntZTbsefPaovCxmfW3VVGXEBzo7Esa5iTCugZH0aWO+u3dQ5ypbVXC+RYUVraqo75DDIRkkRQZ7KzHKX0lR/kqLC1CwP0deY3zgu/wDRqNBQUGX7tzGZMpwRESEzGazVq5cKUnKysqS1WpVWVmZpk2bNhYRAAAA4CIcDof+sv2cvCxm/eSrs+Tv7e7sSAAw4Xh5mIfOKyhJvf2DKqtuV1FVm4qr2nSooF67TlRLkiKCvJSREKhpU4KUGhPAFGNgAhiTQjAwMFCzZ8/Wnj17tGDBApWVlampqUlxcXFjsXoAAAC4kIP59Sqpatc/XJtGGQgAI8TD3az0+EClv3fEtd3hUHVjl86Wt+h0aZPeOVat7YcrL04xjglQdnKw8tJC5efF9zAwHo3JlGFJunDhgn70ox+ptbVVZrNZ3/3ud7V48eJhv54pw8DkxnjHRMcYhisZz+O9f8Cme/9nv7w93fSvfzdTRqPB2ZEwQYzncQ2MhpEe830DNp270KrTpc06WdqkuuZuGQ0GZSQEak5GmHKSg+XhPibHJMGF8V3+gXExZViSYmJi9Kc//WmsVgcAAAAXtO3QBTW19+lrK6dSBgLAGLK4mTRtSpCmTQnSLY4kVTZ0af/ZWh04W6f/2dQkd7NR2cnBmpcZrsyEIL6jASejngcAAMCk0NrZp9f2nVduSohSY63OjgMALstgMCgm1EcxoUn6wuJEFVe2af/ZOh3Kr9PB/HoF+lm0YFqEFk6PVJC/h7PjAi6JQhAAAACTwku7SjVos+uLSxKdHQUA8B6jwaCUmAClxAToS1cl63hRo3aeqNamPeXatKdc0xKDtCgrUtMTg2Q2GZ0dF3AZFIIAAACY8M7XdmjPyRpdMytWoVYvZ8cBAHwCs8movLRQ5aWFqqG1R7tPVmv3yRo99tIp+Xm5aWZ6mOZmhCshwlcGA1OKgdFEIQgAAIAJzeFw6Pm3iuTt6aaV8+KdHQcAMAwhAZ5auyhRqxck6GRJk/aertXO49V660ilQq2emjP1YjkYFsgfeYDRQCEIAACACe3ouUYVXmjVl69JlZcHu7cAMJGYjEblJIcoJzlE3b0DOlLYoP1n67RpT7le3VOuuHBf5SYHKyc5RFEh3hw5CIwQ9pgAAAAwYQ0M2vW/O4oUFeytRVkRzo4DAPgcvDzctDArUguzItXS0acDZ+t0pLBeG3eX6eXdZQr293ivPAxWcoy/TEbOOQh8VhSCAAAAmJAa23r0P5vOqqG1V9+7OYtfDAFgErH6WrR8dqyWz45VW2efjhc36lhRo3Ycq9Kbhy/I02JWSrS/UmIvXrAkLsyXi5IAl4FCEAAAABPOgbN1emZboRwOh76+cqoyE4KcHQkAMEr8fSxanB2lxdlR6u0f1OnSZp0ua9a5C606UdIkSXJ3Myopyl8pMQFKjQlQQoSf3N1MTk4OjF8UggAAAJgwevoG9ec3zmnfmVolRvnpG6syFBLg6exYAIAx4uFuHrpSsSS1dfWr6EKrCi+06tyFVr2yu0wOSWaTQQkRfkMFYWKUvzwtVCDA+/i3AQAAABNCSVWbHt90Ro1tvbp+frxWzY9nmjAAuDh/b/ePFIRdvQMqqmzTuYqLJeHW/RXasu+8TEaDUmIClPPeBUqC/D2cnBxwLgpBAAAAjGs9fYPatKdcbxy6oEA/i9bflqvk6ABnxwIAjEPeHm7KTgpWdlKwJKm3f1AlVe06W96s48WN+sv2Iv1le5FiQ32U/V45GBvmw9WL4XIoBAEAADAuORwO7TtTq//bUaL2rn4tmB6hm69MlpcHu7AAgOHxcDcrIyFQGQmBumlJkmqbu3WsqEHHihq1aU+5Xt1TrtAAT81MD9XMtFDFhFIOwjWwNwUAAIBx53xth55985yKq9qUEOGn79w4XQkRfs6OBQCY4MIDvXTt7DhdOztO7d39Ol7UqEMF9UNTi8MCvTQzLVSz0kIVFeJNOYhJi0IQAAAA40Z374BefKdEO49Xy9fLTf+wIk3zp0XIyC9kAIAR5uflrkVZkVqUFamO7n4dOdegQ/n12rKvXJv3lisi6GI5ODM9TFHB3s6OC4woCkEAAACMC929g/rl88d1oa5TV+XFaPWCeHl5uDk7FgDABfh6ueuK7ChdkR2l9q73y8G6oWnFUcHe75WDoYoIohzExEchCAAAAKfrG7Dp1y+eUGV9p+78wrShk8EDADDW/LzdtSQnSktyotTW2afDhRfLwVfeLdPGd8sUHeKjmekXpxWHBXo5Oy7wmVAIAgAAwKkGbXb918unVFzZpv+3OoMyEAAwbvj7WLR0RrSWzohWS0efDhfW61BBvV7eVaqXd5UqNszn4pGDaaEKtVIOYuKgEAQAAIDT2Ox2/f7VMzpd2qy/vzZNs9LDnB0JAIBPZPW1aFlejJblxai5vVeHCy6Wgxt2lmrDzlJFh/goKylI2UnBSoj04/y3GNcoBAEAAOAUdodDT28t0JHCBt1yZZIWZUU6OxIAAMMS6Oehq2fF6upZsWps69HhggYdL24culqxn5ebpicGKyspWFEh3vL1cpOXxcxVizFuUAgCAABgzDkcDj2/vUh7TtXq+vnxunpWrLMjAQDwmQT7e2r57Fgtnx2rzp4BnS5t0vHiRh0516B3T9UMPc9kNMjb002+Xm7y9XRTcnSAFmZFKNjf04np4aooBAEAADDm3jh0QduPVOrqmTFavSDB2XEAABgRPp5umpMRrjkZ4Rq02VVa3a6mtl51dPero2dAHd0D6ujuV1tXvzbvLdfmveXKnBKkK7IjNT0pSCaj0dmbABdBIQgAAIAx1drZp427y5SVGKSbr0xi+hQAYFIym4xKiQmQYj55eWNbj3afqNHuk9X6zUun5O/jroXTI5WZECirr0UBPha5mSkIMTooBAEAADCmNuwskc1u161XJVMGAgBcVrC/p25YNEXXL4jXyeIm7TxRrS3vHTX4Ph9PN1l9LbL6WhQX5qsF0yMUEsAUY3x+FIIAAAAYM2U17dpzqlbXzo5VqNXL2XEAAHA6k9GonJQQ5aSEqLm9V9WNXWrp6FNLZ59aO/ou3u7o06mSJm3aW66p8VYtnB6p3JRguZlNzo6PCYpCEAAAAGPC4XDoubeK5OflppXz4p0dBwCAcSfQz0OBfh6fuKy5vVfvnqrR7hM1+v2rZ+TtYdbczHAtmh6p6FCfMU6KiY5CEAAAAGPiUEG9iivb9PfXpsnTwm4oAACXI9DPQ9fPT9DKefHKL2/RrhPVeudYlbYfrlRChJ8WZUVoVnoY/43FsDBKAAAAMOr6B2z6vx3Fign10YJpEc6OAwDAhGU0GJSREKiMhEB1dPdr35k67T5RrT++Xqjn3yrWzLRQLcqKVGKUH+fqxSVRCAIAAGDUbTtYoab2Pn1t5VQZjfxyAgDASPD1ctfVM2O0LC9apdXt2n2yWgfO1uvdUzUKCfBQWqxVKTEBSo0NULA/FyPBBygEAQAAMKpaOvq0Zf95zUgNUWqs1dlxAACYdAwGgxKj/JUY5a+br0zWoYJ6HS9q1NFzDdp9skaSFOTnodTYAKXHWTUtMUh+Xu5OTg1nohAEAADAqNqws0R2u0M3LUlydhQAACY9T4tZi7IitSgrUnaHQ1UNXSqsaFHhhVadKm3S3tO1Mhik5OgA5SYHKzslRKEBHD3oaigEAQAAMGrKatq193StVsyJ45cNAADGmNFgUEyoj2JCfXRVXowcDocq6jp1rKhBR8816vm3i/X828WKDvFWdnKw0mOtSozyl7ubydnRMcooBAEAADAqSqra9NjLp+Tv7a7r5sY5Ow4AAC7PYDAoLtxXceG+WrNwiupbe3T8XIOOFjVqy77z2rz3vMwmg6ZE+istNkBpsVYlRvnJzUxBONlQCAIAAGDE7T5RrT+9UagAH4u+84Xp8rSw2wkAwHgTGuCpq2fF6upZseruHVRRZasKK1qVX9GiTXvL9eqecrmZjUqPsyorMUjTE4MV5O/h7NgYAeyZAQAAYMQM2ux64a1ivXW0UulxVn1zTaZ8PN2cHQsAAHwKLw+zspKClZUULEnq7h3QuQttOlverBMljTpZ0iTpnKJDvJWVFKxpU4KUEOHL0YMTFIUgAAAARkR7d79+t/G0CipadfXMGN20JFEmo9HZsQAAwGfg5eGm7ORgZScH69arklXb3K0TxU06WdKorfsrtGXfeZmMBkWFeCshwk8JEX6KD/dVZLC3zCb++z/eUQgCAADgc6uo69BvNpxSW1e/vrYyXfMyI5wdCQAAjBCDwaCIIG9FBHlr+exYdfcOKP98q8pr21VW065D+fXaebxakuTuZtSMlBAtnB6plNgAGQ0GJ6fHJ6EQBAAAwOdScL5Fj244KU+LWf98e64SIvycHQkAAIwiLw83zUgN0YzUEEmSw+FQfUuPymrbVVjRqoP59dp3pk4hAR5aMD1S8zPDFejHuQfHkzErBK+88kq5u7vLYrFIku6++24tXLhwrFYPAACAUXCsqEG/3XhGoVZPff/mbFl9Lc6OBAAAxpjBYFBYoJfCAr00Z2q4blmarKOFDdp9slov7yrVxt2lykwI0tyMMGUnB8vDnePTnG1M/wk8+uijSklJGctVAgAAYJTsPV2jp7YUKC7cR//0xWwuHgIAACRJFjeT5maGa25muOpbuvXuqVrtOVWjxzc1yd1sVFZSsGZPDdO0KUFyM3O+QWegkgUAAMBl2374gv6yvUjpcVbduXaaPC3sVgIAgL8WavXS2kVTtGZhgoor23TgbJ0OFdTrUEG9PC1m5aYEa15GuFLjrJxvcAyN6Z7b3XffLYfDoRkzZuh73/ue/Pw4vwwAAMBE4nA49Ny2Av1le5FykoO1bnWG3MwmZ8cCAADjnNFgUEpMgFJiAvSlZcnKL2/Rgfw6HT3XoD2nahXkZ9G8zAjNmxauMKuXs+NOegaHw+EYixXV1NQoIiJC/f39uv/++9XV1aWHH354LFYNAACAEeBwOPTEq6f16q5SLZ0Zo2/flC2TiWk+AADgs+sbsOnA6Rq9deiCjp+rl90hTU0I1NKZsZo3LUI+Xu7OjjgpjVkh+GGFhYX65je/qbfffnvYr2lq6pTdPuZRnSokxFcNDR3OjgGMCcY7JjrGMCY7u8OhZ988px1Hq3T9wim6fl4c03owqfA9DlfDmMd41NLRp31nLp5vsKapWyajQamxAcpJDlFOcvCnXqmYcf0Bo9GgoCCfSy4fkynD3d3dstls8vX1lcPh0Guvvab09PSxWDUAAAA+J7vDoT9vK9Q7x6u1fHasvrY6U42Nnc6OBQAAJhmrr0Ur5sTp2tmxKq/t0JHCBh0ratCzb57Ts2+eU3y4r3KSgzU9MVgxYT78cfJzGJNCsKmpSd/+9rdls9lkt9uVmJio++67byxWDQAAgM/B7nDomdcLtOtEja6bG6e1i6bIwM43AAAYRQaDQQkRfkqI8NONVySqpqlLx4sadbSoQS/vLtPLu8vk6+WmqfGByogPVEZCoKy+FmfHnlDGpBCMiYnRxo0bx2JVAAAAGCF2u0NPby3Qu6dqtHJevG5YmEAZCAAAxlxEkLcigrx17Zw4tXX26Ux5s86UNetMeYsOnK2TJEUGe2vutAhNi7cqJtSHfZZPMaZXGQYAAMDEYLc79NRr+dp7ularFyRo9YIEZ0cCAACQv897VyPOjJDD4VBlQ9fFcrCsSRt3lmjDDofCA700Kz1Us6eGKSLI29mRxyUKQQAAAHzEoM2up7bka//ZOt2wMEGr5lMGAgCA8cdgMCgm1EcxoT5aPjtW7p7uemNfmQ6erdOmPeV6dU+5YkN9lJMSorTYAE2J9JOb2eTs2OMChSAAAACG9A3Y9NuNp3WypEk3XpGoFXPinB0JAABgWPx9LLoiO0pXZEeppaNPhwvqdTC/Tq++W6ZXJJlNRk2J9FNqTIBSYwOUHO3vsgUhhSAAAAAkSV29A/r1iydVUtWmryxP1RXZUc6OBAAA8JlYfS1aNjNGy2bGqLt3QOcq21RY0aLCilZt3leuTXulWemhWrc609lRnYJCEAAAAGrt7NN/vHBctc3d+ubqTOWlhTo7EgAAwIjw8nBTdlKwspOCJUk9fYMqqmxTkJ/rXpl42IVgSUmJXn/9dTU2Nuq+++5TSUmJBgYGlJaWNpr5AAAAMMrqWrr1yPPH1dEzoO/elKWp8YHOjgQAADBqPC1mTU8McnYMpzIO50lbt27V7bffrrq6Or3yyiuSpO7ubj344IOjGg4AAACjq6KuQ7/481H19tv0g1tzKAMBAABcwLCOEHz00Uf1hz/8QWlpadq6daskKS0tTQUFBaMaDgAAAKNj0GbXtoMV2rS3XD6ebvr+l3IUEeTt7FgAAAAYA8MqBJubm5Wamirp4iWd3//5/m0AAABMHGfLm/XnN86ptrlbuSkhum1Ziqy+rnsOHQAAAFczrEIwIyNDr7zyitasWTP02JYtWzR9+vRRCwYAAICR1dLRpxfeLtLB/HqFBnjquzdlufz5cwAAAFzRsArBe++9V3fccYdefPFFdXd364477lBZWZmeeuqp0c4HAACAz8nhcGj74Uq9tLtUNptDqxckaMWcWLmZTc6OBgAAACcYViGYmJiorVu3aseOHbriiisUERGhK664Qt7enGcGAABgPOsfsOmp1/J1ML9e06YE6bZlyQq1ejk7FgAAAJxoWIWgJHl6emrFihWjmQUAAAAjqLWzT7/ZcFLlNR266YpELZ8dyzmgAQAAcOlC8Etf+tKwdhifffbZEQ0EAACAz+98bYce3XBSXb0D+tbaacpNCXF2JAAAAIwTlywEb7rppqHbFRUV2rBhg2644QZFRkaqurpaGzdu1Be+8IUxCQkAAIDhO1LYoP/ZfEbeHm760e0zFBvm6+xIAAAAGEcuWQjecMMNQ7e/+MUv6sknn1RycvLQY6tWrdKPfvQjfec73xndhAAAABgWh8Oh1/af14adpZoS6advr50mfx+Ls2MBAABgnBnWOQRLSkoUGxv7kceio6NVWlo6KqEAAABwebp7B/TklnwdK2rU7Klh+odr0+TuxlWEAQAA8NeMw3nSzJkztX79epWXl6u3t1dlZWW69957lZeXN9r5AAAA8CnKa9v1kz8c0smSJt1yZZK+sWoqZSAAAAAuaViF4IMPPihJWrlypXJycrRq1So5HA498MADoxoOAAAAl+ZwOLTjWJUe+NMR2ewO/fC2XF09iysJAwAA4G8b1pThgIAA/epXv5Ldbldzc7MCAwNlNA6rSwQAAMAo6O0f1DOvF2r/2TplTgnU11dOla+Xu7NjAQAAYAIYViH4vu7ubvX09KiqqmrosZiYmBEPBQAAgL/W2z+okqp2nbvQqoP5dapv7dENi6bourlxMnJUIAAAAIZpWIVgcXGx7r77bhUUFMhgMMjhcAxNRcnPzx/VgAAAAK5q0GbXqdImFVa06tyFVlXUdcrucMhgkOLDfXX3zdlKjw90dkwAAABMMMMqBH/6059q9uzZeuaZZ7R06VK9/fbbeuSRR5STkzPa+QAAAFyO3e7Qgfw6vfJumepbemQ2GTUl0k8r5sYpJcZfiZH+8rRc1kQPAAAAYMiw9iQLCgr01FNPyc3NTQ6HQ76+vvrBD36glStXavXq1aOdEQAAwCU4HA4dPdegjbvLVNXYpZhQH925dpqmTQmSm5nzNwMAAGBkDKsQtFgsGhwclJubm6xWq6qrq+Xn56fW1tbRzgcAADDpORwOnSpt0su7ynS+rkPhgV5atzpDeWmhnBsQAAAAI25YheCMGTO0detWrV27Vtdcc42+/vWvy93dXXPmzBntfAAAAJOaw+HQ/+0o0esHKxTs76E7rkvXnIwwmYwcEQgAAIDRMaxC8Ne//vXQ7e9973tKSkpSd3e31qxZM2rBAAAAJjuHw6EXd14sA5fkROnWq5JlNlEEAgAAYHRd9tmojUYjRSAAAMDn5HA49NKuUm3dX6ErcqJ0+9UpMjA9GAAAAGPgkoXgPffcM6yd0oceemhEAwEAAEx2DodDL+8u05Z957U4O5IyEAAAAGPqknNS4uLiFBsbq9jYWPn6+mr79u2y2WwKDw+X3W7XW2+9JT8/v7HMCgAAMCm88m6ZNu8t16KsCH35mlQuHAIAAIAxdckjBO+8886h23fccYcef/xx5eXlDT12+PBh/fa3vx3ddAAAABOU3e74xMc37yvXq3vKtWBahL6yPI0yEAAAAGNuWOcQPH78uLKysj7yWFZWlo4dOzYqoQAAACaqzp4BPfvmOR04W3fJ58zPDNffr6AMBAAAgHMMqxCcOnWq/uM//kN33XWXPDw81Nvbq0cffVTp6emjnQ8AAGDCOFnSqD+8VqDOngEtzY2Wr7fbXz3Hz9tdi6ZHUgYCAADAaYZVCP7iF7/Q3Xffrby8PPn5+am9vV2ZmZl6+OGHRzsfAADAuNfTN6gX3i7WrhPVigrx1ndvylJcuK+zYwEAAACfaFiFYHR0tJ5//nlVV1eroaFBISEhioyMHO1sAAAA415hRYue3JKvprZeXTs7VmsWTpGb+ZLXbQMAAACc7pKFoMPhkOG9qSx2u12SFB4ervDw8I88ZjSywwsAAFyP3eHQq++WadOecgUHeOiHt+UqJSbA2bEAAACAT3XJQnDGjBk6evSopIvnEDR87Dw37xeG+fn5o5sQAABgnOkfsOnJLfk6VFCv+Znhuu3qFHm4D2viBQAAAOB0l9xz3bJly9Dtt956a8RW+Nhjj+k3v/mNNm3apJSUlBF7XwAAgLHQ1tmnRzecUnlNu25akqjls2L/6g+nAAAAwHh2yUIwIiJi6HZUVNSIrOzMmTM6fvz4iL0fAADAWLpQ36lfv3hCnT0D+tbaacpNCXF2JAAAAOCyXbIQvOeee4b11+6HHnpoWCv6/+zdd3ib9b3//5ckW56yPJN4JM6ekJ2wIYQ9QhIChIZxoLSM9nfglPKlZRw4bELbU9pCC6WDQ6C0hRRCgQApezRAEpKQhJBhO8uJ95As2ZKl+/eHY4eQJdvSLVl6Pq6Ly4p0677ft/IG7Jc/w+fz6d5779UvfvELXXnllaFXCAAAEGY7q92yWC0qzs8I+T2rt9TqyVfWK81u022XTWEXYQAAAPRZhwwES0tLw3qhX/3qV7rgggtUUlIS1vMCAACEqsHVphfe26Ll66skSZNG5Gv2iUM0qP+hw7099R6998UuLft8hwb1d+jGi8Yrx5FiVskAAABA2FkMwzAifZEvvvhCjz76qJ5++mlZLBbNnDlTTzzxBGsIAgAAU/j8Ab38/la98PYmBYKG5pwyTMk2q5Z8sFUtre069qgB+s6ZozW02ClJavMH9MnaSr25fJvWl9XJarVoxuQS3XDheKWmsHkIAAAA+raQA0Gfz6fy8nI1NDTom2857rjjjvje3//+93rmmWdkt9slSXv27FFeXp4eeughnXjiiSEVWlfnVjAY8ewyphQUOFRT44p2GYAp6Hf0dfRwbDIMQ19srtXf3tmsmsZWTR5ZoEtmDle/7DRJkqfVr2Urduqtz3fI29auSSPyletI1b/X75GnrV39stN00oRCnXB0obIzGRXYiX5HPKKvkWjoecQj+nofq9WivLzMQ74eUiC4YsUK/dd//Zd8Pp/cbrcyMzPV0tKiAQMG9GgH4p6MECQQBOIb/Y6+jh6OPXVNrfq/NzZqXXm9ivMz9J3TR2js4NyDHvvNYNDfHtDkkQU6ZUKRRpXmyMoOwgeg3xGP6GskGnoe8Yi+3udIgWBIc14eeughfe9739NVV12ladOm6bPPPtNjjz2mtLS0sBUKAAAQDoZh6KO1u/XXdzYrGJS+c/oIzZxcLJvVesj3pKcma/aJQ3T2MYMUDBpKY1owAAAA4lhI3+1WVFQcsDPwtddeq9NOO03XXHNNty/6zjvvdPs9AAAAR9LgatP/vbFRa7fWafSgbF197hgVZIf+C8yUZFsEqwMAAABiQ0iBoMPhkNvtVlZWlgoKCrRlyxZlZ2fL4/FEuj4AAIAjMgxD/16/R39ZtlntgaAWnD5CM6eUMN0XAAAAOIiQAsEzzjhD77//vmbNmqV58+bpyiuvVFJSks4666xI1wcAAHBIntZ2rdlaq0++3K31FQ0aXuLUNeeNUf+c9GiXBgAAAMSskALBO+64o+vxNddcowkTJqilpUUnn3xyxAoDAAA4GLfXry821WjlphptqKhXe8BQdqZd82cO1xlTB8pqZVQgAAAAcDghBYL333+/7rzzzq4/T506VZL0wAMP7BcWAgAARIrPH9BT/9ygLzbXKmgYystK1WlTSjRlVD8NLcpiejAAAAAQokNvt/cN//jHPw76/CuvvBLWYgAAAA7lb+9u0cpNNTpz2kDdddVUPXLDcZo/c4SGFzsJAwEAAIBuOOwIwRdffFGSFAgEuh532rFjh7KzsyNXGQAAwF4rv67Wu6t26ezpg3TJzOHRLgcAAADo0w4bCC5ZskSS5Pf7ux5LksViUX5+vhYuXBjZ6gAAQMKrbfLqz69v1JBChy48ZWi0ywEAAAD6vMMGgosWLVIwGNRPfvITPfTQQ0pKCmnJQQAAgLBoDwT15CvrZcjQdbOPUpItpNVOAAAAABzGEb+rtlqtWrZsmaxWvgEHAADmWvJRubbuatZ/nD1a/bLTol0OAAAAEBdCGvI3ZswYlZeXa9iwYZGuBwAAJACXx6eP1u7WF5trNbzEqZPGF6owL2O/YzZU1Ov1f2/TyRMKNX1M/yhVCgAAAMSfkALB6dOn6/vf/77mzp2rAQMGyPKNnfwuuuiiiBUHAADih2EYKqts1jurdunzjVVqDxgqKcjQss936I1Pt2t4iVMn+JMDggAAIABJREFUjy/StNH91OYP6Kl/btCAvHR95/SR0S4dAAAAiCshBYKrVq1ScXGxPvvss/2et1gsBIIAAOCggoahJrdP9c2t2l7t1vurd2l7lVupdptOmVCsGZOLVZyfoaYWnz5Zt1sfrNmtP73+lf7yr03KzkyRp61dP54/USnJtmjfCgAAABBXQgoEFy1aFOk6AABAH9bc4tOarbXauK1Rdc2tqm9uVYOrTYGg0XVMSUGGrjxrlI4Z219pKfu+BXFm2HXOMaU6e/ogbd7ZpA/XVGrV5lpddsZIlfTLjMbtAAAAAHEt5G2Dm5qa9O6776qqqkr9+/fXqaeeKqfTGcnaAABAjDIMQ7tqW7RmS61Wb65VWWWzDElZGXYNyEnT8BKn8rJSletIUW5WqvKz01SUl77fsiPfZrFYNHJgtkYOzNY15t0KAAAAkHBCCgS/+OILXXfddRo6dKiKior07rvv6sEHH9STTz6pSZMmRbpGAAAQIwzD0Idrd+vVTypU29QqSRo8wKHZJw7RhOH5GtQ/87ChHwAAAIDoCykQfPDBB3X33XfrvPPO63ru9ddf1/3336/FixdHrDgAABA7quo9+r83Nmrj9kYNL3bq3ONKNWFYvnIcKdEuDQAAAEA3hBQIVlRU6JxzztnvubPOOkt33313RIoCAACxoz0Q1JufbdeSjyqUnGTVVeeM1onjC2VlJCAAAADQJ4UUCJaWluq1117TrFmzup574403NHDgwIgVBgAAoq+ssllPL92onTVuTR1VoAVnjFR2JiMCAQAAgL4spEDw9ttv1/XXX69FixapqKhIu3bt0rZt2/TEE09Euj4AAGCyuqZWrdlaqzVb6rSuvE7ODLv+88KjNWlkQbRLAwAAABAGIQWCkydP1rJly/Tee++purpap556qk455RRlZ2dHuj4AABBhQcNQeWWz1myt1erNddpZ45Yk9ctJ0znHlOrcY0uVnhrStwwAAAAA+oCQv7t3Op2aPXt2JGsBACAqgkFDje421Ta1qrbJq0a3T4GgIcMwJKMjMJMkw5DsyVbZk2wdX5NtsifZlJJsVT+XTy3uVtmTbUpJ6ngtOckqb1u73F6/XF6/3B5/x2OPT62+gFp9AbX5A2rzBdTqa1ebP6BAwJCx91pSx2NJssgim9Uim80iq9Uim6Xja0F2mo4akquxg3OUnprc7Xsvq2zWore+1rY9LlktFo0oceqSU4drwvA8DchNZ8dgAAAAIA6FFAhWVlbqscce01dffSWPx7Pfa2+++WZECgMAoLd21bZo5cZqle9u7grWDGPf6/72gOqaW1Xf3KZA0DjoOSIlJdmmFLtNqXabUvc+zkhNVpLNKknqzOEsFoss6gglA0FDwWDH10DQkM8f0Ocbq/TBmkpZLRYNK87SUUNyddTQPJUOcBx20w+Xx6fF75fpwzWVysq066pzRmvyyAJlpnU/VAQAAADQt4QUCN50000aOnSobrzxRqWmpka6JgAAesQwDO2odmvl1zVa8XW1dtd5ZJFUXJDRFbRJ+8I2m82qoUVOTR+TqjxnqvKdqcp3piknM0U2m0UWy75AzmKxyDAMtQeCavMH5fMH5Gvf9zU9PUXVtW752jtG/fn8Qfnbg0pNscmRlqzMtGRlptvlSEtWRlqSbFbrQe+hu9oDQZVVNmtdeZ2+LKvXSx+W66UPy5WZlqzRg7I1pjRHYwbnqn9OmiwWi4JBQx+sqdTi97fK2xbQmdMH6oIThigthSnBAAAAQKII6bv/srIy/e1vf5M1TD+8AAAQTm2+gN75YqfeX12p6gavLBZp1MBsnTalRJNHFoRtV1yLxaLkJJuSk2zSt0bSFRQ4VJNj/i/NkmxWjRyYrZEDs3XhycPU3OLT+vJ6baio14ZtDVrxdY0kKceRojGlOaqsbVHFHpdGD8rWZWeMVHFBpuk1AwAAAIiukALBU089VZ999pmOPfbYSNcDAEDIOoPApcu3y+31a/SgbJ1zzCBNGlmgrHR7tMuLiqwMu447aoCOO2qADMNQdYNXX21r0IZtDVq7tU5JNouuvWCsjhnTn/UBAQAAgAQVUiB455136tJLL9WgQYOUl5e332sPPfRQRAoDAOBQOoPANz7dLpfHr6OG5OqCE4doeLEz2qXFFIvFov656eqfm64Zk4oVNIyu6c8AAAAAEldIgeBtt90mm82mYcOGKSUlPNOuAADoiRUbq7Xora8JAnvgcJuMAAAAAEgcIQWCy5cv14cffqjMTNYZQt+1dmutlm+oOuhrgwdk6cxpA02uCEB37ax266lXN6g4P0P/eeF4DS8hCAQAAACA7gopEBw1apQaGxsJBNGnvfX5Dm3e2aScb20u0OYPaPn6Ko0amK3SAY4oVQfgSFp97frdknVKT0nSTRdPkDMjMdcIBAAAAIDeCikQPPbYY3XNNdfowgsvPGANwYsuuigihQHh5vL4NW5wrm68aPx+z3ta2/WTJz7R4ve36ub5E6NUHYDDMQxDi978WnvqPbrl0kmEgQAAAADQCyEFgitXrlS/fv300Ucf7fe8xWIhEESf4fL4DjoCMD01SecdN1h/f3eLNm5r0OjSnChUB+BwPlq7W/9eX6U5Jw7RGP4dBQAAAIBeCSkQXLRoUaTrACLKMAy5PH450pMP+vrMycVatmKHFr+/VbdfMSXqO3BWN3pV4EyNeh1ALNhZ49ZzyzZpTGmOzj9+cLTLAQAAAIA+zxrtAgAzeNsCCgQNOdIOPs3QnmzT7BOHaGtls1ZvrjW5uv3VNnl12xP/1ucbq6NaBxALWn3t+t3L65SakqRrZ42V1UpIDgAAAAC9RSCIhODy+iTpkCMEJemEoweof266Fn9QpmDQMKu0A9Q1tcqQtGZLdINJIBY8+9Ym7anz6NpZY+X81oZAAAAAAICeIRBEQnB5/JIkR/qhNyKwWa268OShqqxt0b/X7zGrtAN01rqhokGGEb1gEoi2t1fu1Cfr9mjWCYM1dnButMsBAAAAgLhBIIiE4PIceYSgJE0ZVaDSAQ69/GG5/O1BM0o7gNvbEQg2tfi0q6YlKjUA0eRpbddT/1yv55Zt0lFDcnXBCUOiXRIAAAAAxJWQA8GtW7fq8ccf1z333NP1540bN0asMCCc9o0QPHwgaLVYNO+UoaprbtX7q3eZUdoBXHsDQUlaX1EflRqAaNm0o1F3/+kzfbqhWrNPHKKbLh7PuoEAAAAAEGYhBYJLly7V5ZdfrqqqKi1ZskSS5PF49PDDD4d8oR/84Ae64IILNGfOHC1YsEBfffVVzyoGemDfCMFDTxnuNG5wrkYPytY/P6mQt6090qUdwOXxKdVu04DcdG2oaDD9+kA0tAeC+scHZVr4l1WyWqWfXj5Zs08cIpuVgewAAAAAEG5JoRz061//Wn/+8581evRoLV26VJI0evTobo0QXLhwoRwOhyTpX//6l26//Xa99NJLPSgZ6D631y97slUpybYjHmuxWDRvxjA98MxKLVuxw/Tpim6vX5lpyRo3OFcfflkpf3tQyUk9C0VWb65VcUGGCrLTwlwlED5VDR79/pUNKt/drBOOHqAFp49UWkpI/3sCAAAAAPRASClDfX29Ro0aJakjLOn82vk4FJ1hoCS53e5uvRfoLZfHL0fa4acLf9OwIqcmjcjXW5/tMH3HYZfHL0e6XWOH5MjnD2rrrqYeneetz7br14vX6vf/XM/mJIhZK7+u0T1//lzVDR79YM5Ruua8sYSBAAAAABBhIf3UNW7cOC1ZskRz5szpeu61117T+PHju3WxO+64Qx9//LEMw9Af/vCH7lUK9ILL41dmCNOFv2nKqAJ9sblWlXUtKinIjFBlB3J7/HJm2jV6UI6sFovWV9RrdGlOt87x3upd+us7W1SQnaqtu5r11bYGdmlFTAkEg3rpg3K9vnybhhQ69IM5RyvPmRrtsgAAAAAgIYQUCN5xxx265ppr9OKLL8rj8eiaa65ReXm5/vSnP3XrYg888IAk6eWXX9Yjjzyip556KuT35uWZF8jEkoICx5EPwhF5/QHlZad16/OcMk76w6tfqcbl06Sx5v09eHztGpaTrUElORpVmqNNO5u6Vfd7K3do0Ztfa+qY/vp/l0/RDQvf0Ruf79Ap00ojWHV40O+Jocndpp89u0JrNtfq7OMG69o5Ryk56cjT+fsCehiJhH5HPKKvkWjoecQj+jo0IQWCw4YN09KlS/Xuu+9qxowZKiws1IwZM5SRkdGji86ZM0d33XWXGhoalJMT2sinujq36VM3o62gwKGaGle0y4gLDU2tKshK7dbnmSxDaSlJWrupWpOGmje6rsnVpmSrVFPj0sgSp175qFzl2+uVGcKU51WbavTbl9Zp1MBsfe/c0WpxteqsaQP1/Nub9dHK7Ro1qHsjDc1EvyeG8t3NevylL9Xc4tfV547WSeOL1NjgiXZZYUEPI5HQ74hH9DUSDT2PeERf72O1Wg47uC7khZrS0tJ07rnn9qiIlpYWNTc3q7CwUJL0zjvvyOl0Kjs7u0fnA7rL5fXJkR76GoKSZLVYNLTQofLK5ghVdaA2f0C+9mBX+Dd2cI6WfFSujdsaNHV0v8O+d315vZ5Ysk6DCx36z3njZd+7gcrJE4v02vJt+ucnFTEdCCL+fbimUove+lrOjBTdccUUlQ7gN3cAAAAAEA2HDAQXLFgQ0sYfzz333BGP8Xq9uummm+T1emW1WuV0OvXEE0+wsQhM0eYPyOcPdjsQlKQhRVl6/d/b1eYPhLRDcW+5PX5JkmPveodDCrOUardpQ0X9YQPBTTsa9ZvFa1WYl6EfXTJhv00ZUpJtOnv6IP393S3asqtJw4udkb0J4FsMw9CSj8r1yscVGjckV9ddMC6kEa8AAAAAgMg4ZCB48cUXdz3evn27Fi9erLlz56qoqEiVlZV6+eWXNW/evJAukp+fr7///e+9rxboAZfHJ2lfyNYdQwqzFDQMbdvj0siBkR/R6vLurXVvWJJks2r0oBytr6g/5Hvqm1v1qxfXKjcrVT+eP1EZqQcGLTMmFen15dv0z48r9KNLJkSmeOAgAsGgFr25SR+sqdSJ4wv1H2ePks0a0gb3AAAAAIAIOWQgOHfu3K7Hl1xyif74xz9qxIgRXc/NmjVLt99+u2688cbIVgj0kqtr1F33RyQNLcyS1LHumRmBYOcIwcxv1DpuSK5Wb6lVdaNX/bLT9jveMAw9+9YmBQJB3XTxeGVlHDz0TLUn6azpA7X4/TKV727WkL339U0trX49t2yTivMzdN5xg8N3U0hYPn9ATyxZr9VbanX+8aWae9JQRoYDAAAAQAwIaZjG1q1bNWjQoP2eKykpUVlZWUSKAsLJ9a1puN3hzExRXlaKynebs47gwWodO7hj3b8N5QeOEvx8Y7VWb6nVnJOGqn9O+mHPPXNyiTJSk/TqJxUHvLaz2q37nl6h5eur9PbKnTKMxNrAB+Hn9vr187+u1pottbrsjJG68ORhhIEAAAAAECNCCgSnTZumn/70p6qoqFBra6vKy8t1xx13aOrUqZGuD+g1d+c03B6MEJQ6pg2XmbSxiMu7d4TgN9ZXG5CbrtyslAOmDbu9HSP6Sgc4dMa0kiOeOy0lSWdMHagvNtdqe9W+XZc+3VCl+xetUFt7QCeOL1Sj26faptYw3RESUX1zqx5+bpUq9jTrhjlH6bQpR+5PAAAAAIB5QgoEH374YUnS+eefr0mTJmnWrFkyDEMPPvhgRIsDwqFr1F0PNzEYUpSl2qZWNbf4wlnWQbm9PlktFqWn7pvNb7FYNLY0Vxu3NSgY3Ddy729vb5antV1XnzM65DXZTp9aorQUm179pEKBYFB/fXuznnxlvUr7O/Q/V03TGVMHSpI272wM740hYdQ0evXgsyvV4GrVzZdMPOLu2AAAAAAA8x1yDcFvys7O1i9/+UsFg0HV19crNzdXVhaFRx/h8vhls1r223m3O765juCE4fnhLO0ALo9fmWlJsn5rauXYITn66Mvdqtjj0tCiLK0rr9PH6/bovONKNai/I+Tzp6cm67QpA/XaJxV66NlVKqts1mmTSzT/tOFKslnlSLcrLSVJm3c26fijCsN9e4hztU1ePfKXL9TmC+jW70xW6YDQexMAAAAAYJ5upXpWq1X5+fmEgehTXB6fMtOTe7x+WekAhywWmbKOoNvjV+ZB1jocW5orSdpQUa9WX7ueeeNrDchN1wUnDO72Nc6cNlB2u007qt265rwxuuzMkUqydfw7bbVaNLzYqc07m3p1H0g89c2t+tnzX8jb1q5bLp1EGAgAAAAAMaxnQ6aAPsTl8cuR1v0NRTql2pNUnJ9hyjqCLq//oFObszLsGtQvUxsq6uXy+FXb1KqfXjZZyUm2bl8jMy1Zt35nklLtNhXmZRzw+ogSp778oE5ur3+/tQyBQ2lwtelnz38ht9evH88nDAQAAACAWMdQP8Q9l9fX4w1FOg0tylL57uaI777bOZrxYMYOydXmnU3614odmjGpWCMHZvf4OkMKsw4aBkodgaAkbWGUIELQ1OLTz//6hRpbfPrRJRM1tCgr2iUBAAAAAI6AQBBxz+Xx9zoQHFKYpZbWdlU3esNU1cG5vX45DjJlWJLGDc5VIGgo25Gii2cMi1gNQwqzZLNa2FgER9Ts8elnz3+huuZW/ejiCRpe7Ix2SQAAAACAEHRryrDb7daTTz6pTZs2aeDAgfr+97+v/v37R6o2ICw6AsGeTxmWOkIySSqrbFb/nPRwlHWAoGEcdpruyIFOHTU0V2dNH9TjDVJCYU+2aXChg3UEcVhNLT794q+rVdvo1U0XT+jViFUAAAAAgLm6NULwnnvuUXp6uq644gqlpaXppptuilRdQFi0B4LytrX3eoRgcUGG7MlWlUdwHUFPa7sMQwddQ1CSkpNsuvmSiRo3ODdiNXQaUZKt8t3N8vkDEb8W+p7aRq8eenalqhs9+s+LxmtMaU60SwIAAAAAdMNhA8EHHnhALS0tXX/evXu3rr32Wp144om64YYbVFZWFvECgd5wefyS1OsRgjarVYP7OyK607DL45OkXoeX4TCixKlA0FDFHle0S0GM2Vnj1oPPrlSL16//d+kkUwJqAAAAAEB4HTYQHD9+vK644gq9/vrrkqQzzzxTc+bM0S233KK5c+dqzpw5phQJ9FRXyBaG3XKHFGVpW5Vb7YFgr891MJ3h5aE2FTFT51pwrCOIb9qyq0kLn1slQ9JPLpusYawZCAAAAAB90mEXIps1a5ZmzJihRx99VIsXL9Ydd9yh448/Xps2bdKVV16p8ePHm1Un0CNub+cIwd6HbEOLnHrzsx3aUe3uWlMwnLpqTevdaMZwcKTbVZiXzjqC6LKurE6PvfSlsjNT9OP5E1WQnRbtkgAAAAAAPXTEnQkcDof++7//W+vWrdPtt9+u6dOn64c//KFSUlLMqA/olX2j7nofsg0pdEiSync3RzYQjIERglLHOoKfb6xW0DBktViiXQ6i6LOvqvTUPzeoOD9DP5o/Uc6M6IfWAAAAAICeO+yU4aqqKt1///267rrrtHTpUv32t79V//79NX/+fL399ttm1Qj0WDjX5cvLSlVWenLENhbprPVQuwybbUSJU962dlXWtBz5YMSlrZVN+uXf1+iJJes1rChLty6YTBgIAAAAAHHgsIHgTTfdJLvdrssvv1yGYeiBBx7QZZddpj/84Q9aunSprr/+erPqBHrE5fHLIikztfchm8Vi0dAip8oitLGIy+NXSrJN9mRbRM7fXSMGZktiHcFEVFbZrF/+fY0eeGalync3a94pQ3Xz/IlKTz3ioHIAAAAAQB9w2J/uysrKtGjRIiUnJ2v69Om65JJLJEn5+fn6+c9/ruXLl5tSJNBTLq9fGWnJslrDM+V1SKFDq7fUytPaHvZwxOXxx8zoQEkqcKbKmWnX5p1NOnVySbTLgQnKKpv1ysflWru1TplpybpoxjDNnFysVDtBIAAAAADEk8P+lDd79mxdffXVmjJlilasWKG5c+fu9/qxxx4b0eKA3nJ5fGFdk29IUcfagRV7mjV2cG7Yzit1rCEYK+sHSh0jIkeUZDNC0GT+9qA8be2mTs1tdLfp7+9u0fL1VcpMS9a8U4Zq5uQSpaUQBAIAAABAPDrsT3t33HGH1q5dq507d+r888/XiBEjzKoLCAuXxy9HGDYU6dS5mUj57kgEgj5lxlAgKHWsI7hiY7XqmlqV50yNdjlxr7rBo98s/lK1za2657vT1S/CO/m2B4J6Z+VOvfxRudoDQZ1/fKnOOaaUIBAAAAAA4twRf+obP368xo8fb0YtQNi5PD4V5WeE7XwZqcnqn5uusghsLOLy+DUgNz3s5+2NkSV71xHc1ag854AoVxPf1pfX64kl6yRJFklPv/6VbvnOpIjt8Pz19gY9u2yTdtW06OiheVpw+gj1j7H+AwAAAABEBsNAENfCPUJQkoYWOrShokGGYcgSxrDG5Q1/rb1V0i9DKXabNu9s0rFjCQQjwTAMvfnZDr3w3hYV52fo/5s3Xhu3NejppRv17qpdOm1KeNdv9La1a9FbX2v5+irlZaXqPy88WhNH5Ie1lwEAAAAAsY1AEHErGDTU4vXLEeaNOkr7O/Tv9VV71/wLT4Dnbw+ozReIqU1FJMlmtWp4UZY272iKdilxyecP6Ok3Nmr5+ipNGVWga84bo1R7kgqcqVqxsVovvLdFRw/LC9vUYW9bu3759zUq392sWccP1rnHlSolRna1BgAAAACYxxrtAoBIaWn1y5DCvlFHwd5wprapNWzndHn8ksJfaziMKMnWrhq3PK3+aJcSV+qbW/XQs6v06foqzT15qH4w56iu3XwtFouuOme0bFaL/vzaVwoaRq+v1+pr16MvrFFZZbOuu2Cc5p48lDAQAAAAABIUgSDiVmfIFu6NOjo316gLYyDo9u6tNS22pgxLHRuLGJK27Ar/uomJanuVS/c9s0JVDR7957zxmnX84AOm7OZmpWr+zBH6ekej3l21q1fXa/MF9OgLa7V1V7Oumz1OU0f369X5AAAAAAB9G4Eg4pbL45OksK/Ll+/sGCFY0+QN2zljeYTg0CKnrBaLNu9sjHYpcWFDRb0efm6VrBaLbr9iiiaOyD/ksSeNL9RRQ3P1wntbVN3Ys35r8wf0qxfXaPPORn1/1lhNIwwEAAAAgIRHIIi41RWyhXldvvTUJGWkJoV3yrC3M7yMvUAwxW5T6YBMrdpUI29be7TL6dOWr9+jX/59jfKcqbrjiikqKcg87PEWi0VXnd3zqcM+f0C/fnGtvt7RqO+dP1bHjO3fm/IBAAAAAHGCQBBxy+XtHHUX/mm4ec5U1TaGccpw5/TmGNtUpNOsE4aoqt6rX724Vm2+QLTL6XMMw9DST7fp9//coOHFTt122WTlZqWG9N7crFRd2oOpw/72gH7zjy+1cVuDvnvuGB03jl2iAQAAAAAdCAQRt/ZNGQ5/yFbgTFNtmKcMWyRlpMZmIDhxeL6uvWCsNu9s1K8Xr5XPTygYqmDQ0F/+tVkvvLtV08f0083zJyq9m3/PJ3ZOHX53izZU1B/xeH97UL/5x5faUF6vq84drROOLuxp+QAAAACAOEQgiLjl8viVlpKkJFv42zzPmaq6plYZYdj9VerYVCQjLVlWq+XIB0fJ9DH9dc15Y7RxW4Mee+lL+duD0S4p5lU3ePTLF9bo7ZU7ddb0gbr2gnFKTup+P1osFn3vvLHql5OmX724Vl+W1R3yWH97UI+/9KXWldXrP84ZrZPGF/XmFgAAAAAAcYhAEHHL5fFFbE2+fGeqfO1BNe+d6ttbLq8/JtcP/LbjjyrUf5wzWuvK6vW7l9epPUAoeDA+f0Avf1imO//wmbbsatIVZ43S/JkjZLX0PPDNyrDr/31nkgrz0vWbxWu1enPtAce0B4L63cvrtHZrna48a5ROnkAYCAAAAAA4EIEg4pbLE7mQLT+7Y6fhcE0bdnt8Yd/8JFJOnlCkK84cqdVbavXkK+sVCBIKftParbX67z9+qlc+rtDkkfl68PvH6tRJxWE5tyO9IxQc2M+hx1/6Uis2Vne91h4I6okl67V6S60uP3OkZoTpmgAAAACA+JMU7QKASHF5/Mp3hrZxQ3d1nre2sVXDipy9Pp/L61f/nPRen8csp04uUXvA0PNvb9Z9/7dC2ZkpslktstmsSrJaZLNalJRkVUqyTfZkq+xJtq7HyUlWfXOmdefjAf3cGtIvXTZr3/w9RV1Tq/7yr036YnOtCvPSdculEzV2cG7Yr5ORmqxbLp2oX/59jZ5Ysl7fCwY1dVQ/PfnKeq3aVKMFp4/QzMklYb8uAAAAACB+EAgibrm9Pg0pdETk3F2BYJhGCLo8fg0r6hsjBDudMW2gkmwWfbxuj5rcPgWCQQWChgIBQ4FgUP72oNrag/L5Agp1pcXCvHRdNGOYJg7Pl6UX02vNZBiGPlm3R88t26SgYWjeKUN11vRBEVm7slNaSpJunj9Bv3phrZ765wa9vXKntu5q1qWnjdDpUwdG7LoAAAAAgPhAIIi4ZBiGXB6/MiM0ZTjVnqTMtGTVNbX2+lyGYcgdwenNkXTq5BKdeoTRaIZhqD0QVJs/KJ8/0LEZiUWySJLFIos6Hje2tutPr6zXbxZ/qZEDszV/5nANKcwy4S56zu3165k3NmrF1zUaOTBb3ztvTNd08khLtSfpvy6ZoN8sXqsNFQ265NThOnMaYSAAAAAA4MgIBBGXvG0BBYKGHGn2iF0j35mqmjAEgt62dgUNo8+sIdhdFotFyUk2JSfZpMPc45gChwYXZOjDNZVa8lG57vu/FZo+pp/mnTJMBSaFbN2xvrxef3xtg1wevy6aMUxnTx9k+i7RKck2/dfFE7S7zqOB/TJNvTYAAAAAoO8iEERccnl9khTRUXf52WnaUe3u9XlVWL2gAAAYY0lEQVRce3cqdqRHLrzsK5JsVp06uUTHjhugNz7drjc/267PvqpWWkqSnBl2OTPsytr71ZlpV1Z6x1dnRoqyMuxypCdHdKquJPnbA3rxvTItW7FDhXnpuumiCSodEJmp6aFIslkJAwEAAAAA3UIgiLhkRsiW70zV6s01ChqGrL1Y787l7ag1UtOb+6K0lCTNPXmoZkwq1r/X71GDq03NLT41tfi0vdqt5hafvG3tB31vVoZd08f005nTBirfGb6Rhbtq3Fq+oUrL1+9RXXObTptSootnDJM92Ra2awAAAAAAYAZTAsGGhgbdeuut2r59u+x2u0pLS3XvvfcqNzf8O3ACkuTymDBC0Jmq9oChJrdPOY6UHp/HvTe8zIzTKcO9keNI0bnHlh70NZ8/0BESenxqdneEhU0tPu2ua9G7q3bpnZW7dMzYfjr7mNIej6Crb27VpxuqtHxDlXZUu2WxSOMG5+qqc8Zo3BD++wUAAAAA6JtMCQQtFou+973v6ZhjjpEkLVy4UD//+c/14IMPmnF5JKB9IwQjGQh2jD6ra2rtVSBoRngZj+zJNuVnpx10E4/65la99fkOvb+6Uv9eX6WjhubqnOmDNLwkW8lJB59SbBiGahq9KtvdrPJKl7ZWNqmsslmSNKwoSwtOH6FpY/rLmcHUbgAAAABA32ZKIJidnd0VBkrSxIkT9fzzz5txaSSofSFbZKcMS1JNk1fDS5w9Po9775ThSG6Akmhys1J16WkjNOuEwXp31S79a8UO/eyvqyVJ6SlJXesQZmXYlZmerJoGr8p3N6ultWMasj3JqkH9HZpz0hAdO7a/+uWkR/N2AAAAAAAIK9PXEAwGg3r++ec1c+bMbr0vLy8xF80vKIjeZgV9WUAWpdhtKinKjtg1srI7QiJve7BXf0/tssiebFNJceRq7SvC3e8Fkq4emKvLzh2rf3+5W3vqW9TY3KYGd5saXW2qrGtR4zafCrLTdMKEYo0clK0RA3M0aIAj4puTID7x32wkEvod8Yi+RqKh5xGP6OvQmB4I3nfffUpPT9fll1/erffV1bkVDBoRqio2FRQ4VFPjinYZfVJVbYsyU5Mj/vllZdi1bVdTr65TXedWZlpSwv9dR7rfxw50auzA0EZyNtS3RKwOxC/+m41EQr8jHtHXSDT0POIRfb2P1Wo57OA6UwPBhQsXatu2bXriiSdktTL6BpHj9vpNWZMv35mq2qbWXp3D7fGzoQgAAAAAADCNaanc//7v/2rdunV6/PHHZbezVhoiy+XxRXT9wE75zlTV9TIQdHn9ptQKAAAAAAAgmRQIbt68WU8++aSqq6t16aWXavbs2frhD39oxqWRoFwmjbrLd6aprrm1V9PZ3R6/HIwQBAAAAAAAJjFlyvCIESP09ddfm3EpQJLk8vrMmTKcnapA0FCju025Wak9OofL61OmCbUCAAAAAABIJk4ZBszS5g/I5w+atoagJNU0env0/vZAUN62ACMEAQAAAACAaQgEEXdcHp8kmbSGYJok9XhjEbfXL0nKZA1BAAAAAABgEgJBxB2XpyNkM2OEYN7eacI93Vikq1ZGCAIAAAAAAJMQCCLu7AsEIz/qLjnJquxMu2qaejZl2N01mpFAEAAAAAAAmINAEHHHZXLIlp+d1vMRgkwZBgAAAAAAJiMQRNzZNw3XnJAt35mqmkamDAMAAAAAgL6BQBBxx+X1yWa1KC3FZsr18p2panC1KRAMdvu9nZuKZKQlhbssAAAAAACAgyKFQMz4cE2l9jR4DvpaflaqhhY5VVyQoSTb4XNst8cvR3qyLBZLJMo8sDZnmoKGofrmNhVkp3XrvS6PTxmpSbJZyeYBAAAAAIA5CAQRE/ztQf156UZZLRZZrfsHeYZhKBA0JEn2JKsGDXBoaGGWhhZlKceRcsC5qhq8yjRpurDUMUJQkmqbWrsdCLq9ftYPBAAAAAAApiIQREzonDp7+ZkjNWNS8X6vGYah2qZWlVU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            "text/plain": [
              "<Figure size 1296x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ryrZSKTWFuBB",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 136
        },
        "outputId": "2de9fd64-0c70-47b8-b713-1d5c370a84f7"
      },
      "source": [
        "df_top1 = df[(df['location'] == 'United States') | (df['location'] == 'Brazil') | (df['location'] == 'Russia') | (df['location'] == 'India') | (df['location'] == 'United Kingdom')]\n",
        "df_top_mort1 = (df_top1.total_deaths / df_top1.total_cases) * 100\n",
        "df_top_mort1.head()"
      ],
      "execution_count": 114,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "date\n",
              "2019-12-31   NaN\n",
              "2020-01-01   NaN\n",
              "2020-01-02   NaN\n",
              "2020-01-03   NaN\n",
              "2020-01-04   NaN\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 114
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EkNzH3gvTvMy",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "outputId": "81faf190-a850-4ec4-999c-8b9bc84310c6"
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(18,6))\n",
        "ax.plot(df_top_mort1)\n",
        "ax.plot(df_mort)\n",
        "ax.set_title('Taxa dos países com mais casos')\n",
        "ax.set_ylabel('% de mortalidade')\n",
        "\n",
        "\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "execution_count": 124,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1296x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KtsQQy9HV9pQ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "outputId": "d3d16cbc-384e-46a9-8e2c-700c756c0566"
      },
      "source": [
        "df_aux = df.loc['2020-06-30', ['location', 'total_cases']].sort_values(by='total_cases', ascending=False)[1:6]\n",
        "fig, ax = plt.subplots(figsize=(14,6))\n",
        "\n",
        "sns.barplot(df_aux.location, df_aux.total_cases, palette='Paired', ax=ax)\n",
        "\n",
        "ax.set_title('TOP 5 Países com mais casos de COVID-19')\n",
        "ax.set_xlabel('Países')\n",
        "ax.set_ylabel('Total de Casos')\n",
        "\n",
        "plt.tight_layout()"
      ],
      "execution_count": 126,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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69eunjz76SPv27ZPFYlFSUpJOnz4tPz8/NW7cWAsXLlROTo6+//57ffjhh+rdu/cdvdeSUBLn6/fat2+vlJQUrVmzRrm5ucrIyNA333xjPV6FChVUoUIFnT59Wu+//751v6NHj+qbb77RlStXVK5cObm6uspsNsvJyUndunXTokWLlJGRofj4eK1evdp6vrZs2WId8l25cmWZTKZC/zy6du2qzz//XAcPHlRubq6WLFlS4KZ0jz/+uPWma9K1exNs37690HMRHBysqlWrauzYsTp9+rQsFovS0tIUGRmp//3vf6pYsaJGjx6tOXPmaNeuXbpy5YrOnj2rF154QVWrVi1w07YuXbooISFBERER6tOnzy3P/++lp6frk08+0axZsxQSEmLtdS9MTk6O9eZ5ubm5ysnJsa47ffq0MjIylJubq+joaO3Zs0fDhg0rdh0AgD/H4XrIC3PkyBGdPXvWOoxLutbzcubMGVksFn3zzTeaMGGCAgMDFRMTo1GjRt3yH2EAwLVe4nXr1un1119XUFCQ8vPzVa9ePb311lvF6mH8vfPnz2vGjBlKSkpSuXLl1LhxY61YseKOH0/Wp08f7dmzR23atJG7u7uef/75AqHvRmfOnNHs2bN14cIFVapUSY8//rhatGghSYqMjFR4eLg6duyo3Nxc3Xfffda7d+/evVuvvfaasrOzVa1aNS1atMg6jPxGDRo00Kuvvqq5c+fq7NmzqlKlisLCwhQQEKCFCxdq+vTpatOmjSpVqqSxY8fq4YcfvsOz9ueV1Pm6kZubm/7973/rlVde0bJly+Tq6qqhQ4eqYcOGmjx5sv75z3/qX//6l+rUqaMePXpYH7GVmZlpPVeurq5q3bq1RowYIUn65z//qdmzZ6tTp04qU6aM+vfvbx2dERsbq7lz5yojI0NeXl6aOnWqatSocVNdf/vb3xQWFqaJEycqKytLTz31VIEh7EOGDFF+fr6GDx+u5ORkeXl5qUePHurUqdNNbbm6umrNmjVasmSJhg8frosXL8rLy0sdO3a09i6HhITI3d1d8+bNK/Ac8gULFsjV1dXaVvny5dW1a1d98skn6tWr123/zIKDg2UymeTi4qLatWtrypQpt93vxh7v6zch/OGHHyRdu54jIyOVnZ2tOnXq6K233rI+Rx0AYHum/DsdD/gXERQUpMjISNWqVUuff/65Vq1apbVr1960XWxsrF544QXt2LHDuqxhw4bauXMn/yABAAAAAGzmrhiy3rhxY505c8b6Lbx0bWjc9R6d8uXLW4epHzhwQJUrVy5y6BcAAAAAAH+Ww/WQz5kzRzExMTp//rw8PDzk7u6uTz/9VEePHtX8+fP166+/6sqVK6pRo4YiIyNlNpsVGxurmTNnKjc3V+XKldPUqVO5oQkAAAAAwKYcLpADAAAAAPBXcFcMWQcAAAAAoLQhkAMAAAAAYAACOQAAAAAABnC455CnpWXKYmFaPAAAAADAWGazSR4eFW653uECucWSTyAHAAAAAJR6DFkHAAAAAMAABHIAAAAAAAxAIAcAAAAAwAAEcgAAAAAADEAgBwAAAADAAARyAAAAAAAMQCAHAAAAAMAABHIAAAAAAAxAIAcAAAAAwAAEcgAAAAAADEAgBwAAAADAAARyAAAAAAAMQCAHAAAAAMAABHIAAAAAAAzgbHQBpZW7R3m5ODsZXQYczJWreUpPu2x0GQAAAABKAQL5Lbg4O+njQ6eMLgMOpm/TB4wuAQAAAEApwZB1AAAAAAAMQCAHAAAAAMAABHIAAAAAAAxAIAcAAAAAwAAEcgAAAAAADEAgBwAAAADAAHZ57FlaWpomTZqkuLg4ubq66t5779WsWbPk6elZYLvQ0FDt3btXHh4ekqRu3bpp1KhR9igRAAAAAAC7sksgN5lMevrpp9W8eXNJUnh4uBYsWKC5c+fetO3IkSM1ePBge5QFAAAAAIBh7DJk3d3d3RrGJalRo0ZKSEiwx6EBAAAAACiV7NJDfiOLxaL3339fQUFBha5fvXq11q9frxo1amjChAkKCAi4o/a9vNxKokzAZry9KxpdAgAAAIBSwO6BfPbs2Spfvnyhw9JffPFFeXt7y2w2a8OGDXr66ae1fft2OTk5Fbv91NQMWSz5f7pOQhNsJSXlktElAAAAALADs9lUZKexXe+yHh4erjNnzmjx4sUym28+tK+vr3V5nz59dPnyZZ07d86eJQIAAAAAYBd2C+QLFy7UsWPHtGzZMrm6uha6TVJSkvXn3bt3y2w2y9fX114lAgAAAABgN3YZsn7y5EmtWLFCNWvW1MCBAyVJ/v7+WrZsmYKDg7Vy5Ur5+vpq8uTJSk1Nlclkkpubm9588005O9t9VD0AAAAAADZnys/P//MTrkuRkpxD/vGhUyVQEfCbvk0fYA45AAAAcJcoVXPIAQAAAADANQRyAAAAAAAMQCAHAAAAAMAABHIAAAAAAAxAIAcAAAAAwAAEcgAAAAAADEAgBwAAAADAAARyAAAAAAAMQCAHAAAAAMAABHIAAAAAAAxAIAcAAAAAwAAEcgAAAAAADEAgBwAAAADAAARyAAAAAAAMQCAHAAAAAMAABHIAAAAAAAxAIAcAAAAAwAAEcgAAAAAADEAgBwAAAADAAARyAAAAAAAMQCAHAAAAAMAABHIAAAAAAAxAIAcAAAAAwAAEcgAAAAAADEAgBwAAAADAAARyAAAAAAAMQCAHAAAAAMAABHIAAAAAAAxAIAcAAAAAwAAEcgAAAAAADEAgBwAAAADAAARyAAAAAAAMQCAHAAAAAMAABHIAAAAAAAxAIAcAAAAAwAAEcgAAAAAADEAgBwAAAADAAARyAAAAAAAMQCAHAAAAAMAABHIAAAAAAAxAIAcAAAAAwAAEcgAAAAAADEAgBwAAAADAAARyAAAAAAAMQCAHAAAAAMAABHIAAAAAAAxAIAcAAAAAwAAEcgAAAAAADEAgBwAAAADAAARyAAAAAAAMQCAHAAAAAMAABHIAAAAAAAxAIAcAAAAAwAAEcgAAAAAADEAgBwAAAADAAARyAAAAAAAM4GyPg6SlpWnSpEmKi4uTq6ur7r33Xs2aNUuenp4FtsvKytKUKVP07bffysnJSZMnT1aHDh3sUSIAAAAAAHZllx5yk8mkp59+Wtu2bdPGjRtVo0YNLViw4Kbt/vWvf8nNzU2fffaZIiMjNW3aNGVmZtqjRAAAAAAA7Mougdzd3V3Nmze3vm7UqJESEhJu2m7Lli0aMGCAJKlmzZqqV6+edu3aZY8SAQAAAACwK7sMWb+RxWLR+++/r6CgoJvWJSQkqHr16tbXfn5+Onfu3B217+Xl9qdrBGzJ27ui0SUAAAAAKAXsHshnz56t8uXLa/DgwTZpPzU1QxZL/p9uh9AEW0lJuWR0CQAAAADswGw2FdlpbNe7rIeHh+vMmTNavHixzOabD12tWjXFx8dbXycmJqpq1ar2LBEAAAAAALuwWyBfuHChjh07pmXLlsnV1bXQbbp166b169dLkn7++WfFxsaqTZs29ioRAAAAAAC7sUsgP3nypFasWKHk5GQNHDhQwcHBGj16tCQpODhYSUlJkqQRI0bo4sWL6ty5s5555hnNmjVLbm7MCQcAAAAAOB5Tfn7+n59wXYqU5Bzyjw+dKoGKgN/0bfoAc8gBAACAu0SpmkMOAAAAAACuIZADAAAAAGAAAjkAAAAAAAYgkAMAAAAAYAACOQAAAAAABiCQAwAAAABgAAI5AAAAAAAGIJADAAAAAGAAAjkAAAAAAAYgkAMAAAAAYAACOQAAAAAABiCQAwAAAABgAAI5AAAAAAAGIJADAAAAAGAAAjkAAAAAAAYgkAMAAAAAYAACOQAAAAAABiCQAwAAAABgAAI5AAAAAAAGIJADAAAAAGAAAjkAAAAAAAYgkAMAAAAAYAACOQAAAAAABiCQAwAAAABgAAI5AAAAAAAGIJADAAAAAGAAAjkAAAAAAAYgkAMAAAAAYAACOQAAAAAABiCQAwAAAABgAAI5AAAAAAAGIJADAAAAAGAAAjkAAAAAAAYgkAMAAAAAYAACOQAAAAAABvhDgfyXX37R2bNnS7oWAAAAAADuGsUK5OPHj9fhw4clSf/5z3/0yCOPqGfPnoqKirJpcQAAAAAAOKpiBfJ9+/apXr16kqQ1a9Zo9erVioqK0qpVq2xaHAAAAAAAjsq5OBtduXJFrq6uSkpKUnp6upo2bSpJOn/+vE2LAwAAAADAURUrkNepU0crVqxQfHy82rdvL0lKSkqSm5ubLWsDAAAAAMBhFWvI+iuvvKITJ04oJydHzz//vCTpyJEj6tWrl02LAwAAAADAUZny8/PzjS6iJKWmZshi+fNvydu7oj4+dKoEKgJ+07fpA0pJuWR0GQAAAADswGw2ycvr1iPLizVkXbp2d/Xo6GglJSXJ19dXwcHBeuyxx0qkSAAAAAAA7jbFCuRvvvmmNmzYoOHDh6tatWpKSEjQW2+9peTkZI0aNcrWNQIAAAAA4HCKFcijoqL07rvvqnr16tZlrVu31uDBgwnkAAAAAAD8AcW6qVtWVpY8PT0LLHN3d1d2drZNigIAAAAAwNEVK5C3adNGEydO1I8//qjs7GydPn1aoaGhat26ta3rAwAAAADAIRUrkIeFhalChQrq3bu3GjdurODgYJUtW1b//Oc/bV0fAAAAAAAO6Y4ee2axWJSWliYPDw+ZzcXK8nbHY89QmvHYMwAAAODucbvHnhUrVZ86dUrnz5+X2WxW2bJltXTpUi1dulRZWVklVigAAAAAAHeTYgXy8ePH6+LFi5Kk8PBwHThwQF9//bXCwsJsWhwAAAAAAI6qWI89i4+P1/3336/8/Hx99tln+vTTT1W2bFl17NjR1vUBAAAAAOCQihXIy5Qpo4yMDJ0+fVp+fn7y9PTU1atXlZOTY+v6AAAAAABwSMUK5D179tTQoUOVmZmpwYMHS5KOHz8uf39/mxYHAAAAAICjKlY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bmc1mubi4aN68efL29rZXiQAAAAAA2I3dAnlAQICioqJuWr5q1Srrz9dDOgAAAAAAjs4uQ9YBAAAAAEBBBHIAAAAAAAxAIAcAAAAAwAAEcgAAAAAADEAgBwAAAADAAARyAAAAAAAMQCAHAAAAAMAABHIAAAAAAAxAIAcAAAAAwAAEcgAAAAAADEAgBwAAAADAAARyAAAAAAAMQCAHAAAAAMAABHIAAAAAAAxAIAcAAAAAwAAEcgAAAAAADEAgBwAAAADAAARyAAAAAAAMQCAHAAAAAMAAzkYXAAAAAAB/lKd7WTm5uBhdBhxQ3pUrupCebdNjEMgBAAAA/GU5ubgo/f11RpcBB+T++BOSbBvIGbIOAAAAAIABCOQAAAAAABiAQA4AAAAAgAEI5AAAAAAAGIBADgAAAACAAQjkAAAAAAAYgEAOAAAAAIABCOQAAAAAABiAQA4AAAAAgAEI5AAAAAAAGIBADgAAAACAAQjkAAAAAAAYgEAOAAAAAIABCOQAAAAAABiAQA4AAAAAgAEI5AAAAAAAGIBADgAAAACAAQjkAAAAAAAYgEAOAAAAAIABCOQAAAAAABiAQA4AAAAAgAEI5AAAAAAAGIBADgAAAACAAQjkAAAAAAAYgEAOAAAAAIABCOQAAAAAABiAQA4AAAAAgAEI5AAAAAAAGIBADgAAAACAAQjkAAAAAAAYgEAOAAAAAIABCOQAAAAAABiAQA4AAAAAgAEI5AAAAAAAGIBADgAAAACAAewWyH/66ScNGDBAXbt21YABA/Tzzz/ftE1eXp5mzpypTp06qXPnzoqKirJXeQAAAAAA2JXdAvn06dP1xBNPaNu2bXriiScUFhZ20zYbN25UXFycYmJitH79ekVEROjs2bP2KhEAAAAAALtxtsdBUlNTdfz4ca1evVqS1LNnT82ePVsXLlyQp6endbvNmzerf//+MpvN8vT0VKdOnbR161Y9/fTTxT6W2WwqsbrLu9rl9OAuU5LXaEnx86hgdAlwUKXxei/nUtHoEuCASuO1Lkm+FasaXQIcUGm83s0V+CwD2/iz1/vt9rdL4kxMTJSvr6+cnJwkSU5OTvLx8VFiYmKBQJ6YmKhq1apZX/v5+encuXN3dCyPEgwWXevXLLG2gOu8vNyMLuEmm15+zOgS4KBK4/XesdaTRpcAB1Qar3VJ+uCp/xhdAhxQabzeK/UONroEOChbX+/c1A0AAAAAAAPYJZD7+fkpKSlJeXl5kq7dvC05OVl+fn43bZeQkGB9nZiYqKpVGWoFAAAAAHA8dgnkXl5eqlOnjjZt2iRJ2rRpk+rUqVNguLokdevWTVFRUbJYLLpw4YK2b9+url272qNEAAAAAADsypSfn59vjwOdPn1aoaGhunjxoipVqqTw8HDdf//9CgkJ0bhx41S/fn3l5eVp1qxZ+uKLLyRJISEhGjBggD3KAwAAAADAruwWyAEAAAAAwG+4qRsAAAAAAAYgkAMAAAAAYAACOQAAAAAABiCQAwAAAABgAAL5X0zt2rWVmZlZYFnz5s119uzZ2+4bEhKiuLg4SdJHH32kn3766Q/VEBERofDw8ELXbdmyRX369FFwcLC6deumCRMmFNgvNze3WMdYs2aNUlNT/1B9wO0EBQWpW7du1ut02rRpunLlSom0vWPHDuvvx5dffqlHH320RNoF7tT167x3797q3r27oqKiSrT9999/X2vWrCnRNoGSEBQUpBMnTtzRPk8++aR27twpSZo6daoOHjxoi9LgoEr75/MbfyeysrI0YsQITZkyRXl5eTa53kNDQ/Xee++VaJuOzNnoAmA/q1atsv788ccfy8PDQ/fdd1+JtZ+cnKyZM2fq448/lp+fn/Lz8/Xdd99Z1y9dulTDhw+Xq6vrbdt655139PDDD8vLy6vE6gNutGTJEtWqVUt5eXkaNGiQPvvsM/Xo0cO63mKxyGQyyWQy3VG7HTt2VMeOHUu6XOAPuX6dnzhxQo8++qjatm0rX1/fEmn78ccfL5F2gNLmlVdeMboE3EVs/fn8RhcvXtTIkSNVv359vfzyyzKZTFzvpQCB3MEEBQUpODhYe/fuVUpKioYPH67Bgwdb10VGRio2NlbHjh3TnDlztHjxYk2ePFkPP/ywVq5cqZiYGOXl5cnX11ezZ8+Wt7e3Ll26pKlTp+rEiRPy9vZW1apVVaVKlZuOff78eTk7O8vd3V2SZDKZVLduXUnSzJkzJUkDBw6U2WzWu+++q//973965513rD2TkydPVsuWLfXmm28qOTlZ48aNU5kyZfT666/rnnvu0aJFi3TgwAHl5uaqdu3amjFjhipUqKD169drzZo1cnV1lcVi0eLFixUQEGCP0w0HkJOTo5ycHFWqVEkRERE6efKkMjIylJCQoPXr1ysyMlJfffWVrly5Ig8PD82dO1fVq1dXVFSU9dvf/Px8/fDDD4qOjtbx48f1+eefa8mSJQa/M+A3tWrVUqVKlZSUlKS2bdvq8OHDqlChgqRrPTuHDx+W2WzW5MmTderUKTk7O+u+++7TG2+8oR9//FFTpkxRVlaWLBaL+vbtqxEjRigiIkKXL1/W5MmT9cMPP2jmzJnKyspSTk6O/vGPf+ipp54y9k3jrvfkk0+qXr16+vrrr5WcnKzu3btr4sSJkqRTp05pypQpunz5smrVqqWcnJwC+w0fPlwdOnTQxo0bC/2sAtwJIz+fX5eamqpJkyYpKChI48aNsy6/8XoPDQ2Vq6urfv75Z507d06NGjVSeHi4TCaTkpKSNGnSJJ0/f141atSQJLVu3VqDBw+2rktJSVH16tVlNv82CPv8+fOaPn26dRTAiBEj1KdPH+t779Wrl/bv36+kpCRNmDBBqamp2rRpk3799VfNnTtXzZo1K/E/j9KGQO6AsrOztX79ep09e1a9evVS3759rR+8JOmxxx7Thg0brL98khQdHa1ffvlF//d//yez2ax169bptdde0+uvv65ly5apQoUK2rp1qy5cuKBHH31U3bt3v+m4Dz74oBo0aKD27durefPmatKkiYKDg+Xh4aHp06dr3bp1+uCDD6y1tG7dWj179pTJZNKPP/6op556Srt27dKoUaMUFRVl7dmRpOXLl6tixYr68MMPJUnz58/XypUr9eKLL2revHnasmWLfHx8lJubq7y8PFufYjiA61/4xMXFqXXr1mrdurWOHDmio0eP6qOPPpKnp6eka0PJJk+eLEmKiorSggULtGjRIvXv31/9+/eXJC1atEj33nuvatWqpePHjxv2noBbOXTokDw8PPTggw/ecps9e/YoMzNTmzdvliT9+uuvkqR169YpKChIzzzzTIHlN6pevbr1i9HMzEz1799fbdq04ctRGC4xMVFr165VZmamOnXqpH79+qlmzZqaNGmSnnzySfXt21dff/31LUd83OqzCnCnjPp8ft0LL7ygJ554okAYL8zJkye1Zs0amUwm9e3bV3v37lWrVq00Z84cNW/eXM8995zi4+PVq1cvtW7dWpI0Z84cNWvWTGPGjNEvv/yi3r17q02bNtZ1f/vb37Rs2TIlJyfr0UcfVd26da2f8XNzc7V+/XodPXpUQ4YM0UsvvaQPP/xQmzdv1sKFC/X+++//qfP+V0AgdxA3Dqu9PuzW399flSpV0rlz5277oei///2vjh07pr59+0qS8vLy5ObmJunaPNhp06ZJkjw9PdW5c+dC2zCbzVq+fLlOnDihAwcOaPv27frXv/6ljRs3WnvNb/TLL79owoQJSkpKkrOzs86fP6+UlBR5e3sXWl9GRoa2bdsm6dov7/UPli1atFBoaKg6dOig9u3bW7+1A4py/QufnJwcjR071joXtm3bttYwLkm7du3SunXrdPnyZV29evWmdqKiorR//369/fbbBb4RBkqDcePGKT8/X3FxcXrjjTeKnDL04IMP6vTp05o5c6YeeughtW/fXpLUrFkzzZ8/X1lZWWrevLlatGhx077Z2dmaMWOGfvjhB5lMJiUnJ+v7778nkMNw3bp1k9lsVsWKFRUQEKC4uDhVqVJFJ06cUHBwsCSpUaNG1nDwe3fyWQX4vdLw+fy6du3aafPmzRo4cGCRU5c6deqkMmXKSJLq1q2ruLg4tWrVqsDxqlevXmCkyI3ratSoUWDdvn37FBoaKkny8fFRu3bt9OWXX1p/566fl7///e/KysqyfqlQr149a6+6oyOQ/8V4enoqPT3d+o3a1atXlZGRUSBAXP8lkiQnJ6di9Rjn5+dr1KhR6tev35+usVatWqpVq5YGDRqkHj166KuvvlKXLl1u2m78+PEKDQ1Vp06dZLFY1LBhwwJDxn5f3/Tp0wsdJrZ06VLFxsZq//79/6+9Ow2JsuvjOP7VGXHCarhfDCk5UUELQZaVZdlkSKBFRZkRQUwpoZm+EFrVsoWiqEzasAhLiiJDs1JaIHCJFjASNGghqQjLFsoa29Sc50V4kXfa/fjcT07a7/PucM65rnNAZ87/Ouf6D06nk40bNxIeHv6v5yF/Bl9fX6ZOnUppaSkjR45s87S6traWbdu2kZ+fj91u5/bt28ZxR/i2o5iTk8PJkyexWCyeGL7IT7U+eLp48SKpqamMGTMGk8mE2+0GaPOZa7fbKS4u5ubNm5SXl5OVlUVRURGRkZGMHj2aa9eucfjwYQoKCti1a1eb++zevRubzcb27dsxm83ExcV1+Hku0pX+lzXR9zqzVpE/V3dYny9dupSSkhKcTifHjh3rMCj/t/8zndV6P5PJ1Kbs7e3d7kZIT6TtnG5m0qRJ5OXlGeW8vDxGjRpFr169OnUdPz8/XC6XUY6IiODkyZPGUcTGxkbu3bsHfNuBPnPmDABv377lypUr7V7zxYsXVFZWGuW6ujrevHlDYGCgcc+Ghgaj3uVyGXUFBQVtMrC3N77c3Fw+f/4MQENDAzU1NTQ3N/P06VOCgoKIj48nLCysTSI5kX/S0tJCRUUFAwcO/KGuoaEBHx8fbDYbLS0tnDp1yqi7f/8+GRkZZGdnt/nCFfkdTZ8+nbCwMA4dOsSAAQOorq4GoKioyGhTV1eHyWRi2rRppKam8ubNG+rr63ny5Ak2m43o6GiSkpKMvt9zuVz4+/tjNpt58OCBMlTLb613794MHTrU+PuvqqrqMCv7z9YqIq1+5/X59xISEpg7dy5Op5MXL150amzjx4+nsLAQ+PYqyM2bN4260NBQCgoKgG+nSm7cuGHUTZw4kdOnTwPw6tUrysrK2j1p9SfTDnk3k56eztatW5k1axbe3t4EBASwY8eOTl9nwYIFbN++nZycHNasWcOcOXOor683Eky43W4WLlzI8OHDWb58OWlpaURFRWGz2Rg3bly712xubmbfvn3U1tZisVhoaWkhJSXFSOwWFxeH0+nEYrFw/PhxUlNTWb58OVarFYfD0eZYu9PpJC0tDYvFQmZmJvHx8ezfv5+YmBgj83VycjJ2u521a9ficrnw8vIiICCgzU+tiXSk9R3ypqYmhgwZQlJSEseOHWvTZtiwYURFRTFjxgz++usvwsPDjUAjNzeXjx8/kpKSYrTPysrq0jmIdMaKFSuIjo5mw4YNZGRk0KdPH6Kiooz6+/fvk5mZCXx7UBUfH0+/fv04ePAgRUVF+Pj44OXlRVpa2g/XTkxMZPXq1eTn5zNo0KA/IgmPdG87duwgNTWVw4cPM3ToUEaOHNluu5+tVURa/c7r879btmwZbrfb2CnvzBxXr15NUVERgYGBBAUFGcfnW+uKi4sJDAxkwoQJRr9169aRkZHBrFmzAFi5ciVDhgz5r+/7J/Byt55bExEREREREfmbz58/YzabMZvNvHz5kpiYGHJzcxk8eLCnh9btaYdcREREREREOvT48WPWrFmD2+2mubmZ5ORkBeP/J9ohFxEREREREfEAJXUTERERERER8QAF5CIiIiIiIiIeoIBcRERERERExAMUkIuIiAjJycnk5uZ6ehgiIiJ/FGVZFxER6UEiIiJ4/fo1JpOJXr16MWXKFNavX4+fn1+Hfc6fP4/ZbGbJkiVdN1ARERHRDrmIiEhPc/DgQSorKyksLOTOnTtkZ2f/tP379+/ZunVrF41OREREWikgFxER6aH69euHw+HgwYMHJCQkEBoaSkhICAkJCdTV1RntLl++zIULFwB48uQJixYtYuzYsUyYMIGUlBSjXU1NDbGxsYwfP57IyEijD0BZWRkzZswgODgYh8NBTk5O101URESkm1JALiIi0kM9f/6c8vJy7HY70dHRlJSUUFJSgq+vL5s3b263z549ewgLC6OiooLy8nIWLVoEwMePH4mLi2PmzJlcv36drKwsNm3axMOHDwFIT09n8+bNVFZWUlxcTGhoaJfNU0REpLvSO+QiIiI9TFJSEiaTiT59+hAeHs6qVauwWCxGfWJiIk6ns92+ZrOZZ8+e8fLlS/z9/Rk3bhwApaWl9O/fn3nz5gEwYsQIIiMjuXTpEsnJyZjNZh4+fMjw4cOxWq1YrdZfP1EREZFuTgG5iIhID3PgwAEmTZpklD99+kRGRgZXr17l3bt3AHz48IGvX79iMpna9F21ahV79uwhJiYGq9VKbGwsMTEx1NbWUlVVZQToAF+/fmX27NkA7N27l+zsbDIzMxk2bBgrVqwgODi4C2YrIiLSfSkgFxER6eGOHDnCo0ePOH36NDabjbt37zJnzhzcbvcPbW02G1u2bAHg1q1bxMbGEhISQkBAACEhIRw9erTdewQFBZGdnU1TUxMnTpwgJSWFsrKyXzovERGR7k7vkIuIiPRwHz58wNfXl759+1JfX8/+/fs7bHvx4kUj4ZvVasXLywtvb2+mTp3K48ePOXv2LE1NTTQ1NVFVVUVNTQ2NjY2cP38el8uFj48Pfn5+eHtriSEiIvJP9G0pIiLSwy1evJgvX74QGhrKggULcDgcHbatrq5m/vz5BAcHk5iYSHp6Ona7nd69e5OTk8OFCxdwOBxMnjyZXbt20djYCMC5c+eIiIhgzJgxnDp1ip07d3bV9ERERLotL3d759VERERERERE5JfSgctbfAAAAGVJREFUDrmIiIiIiIiIByggFxEREREREfEABeQiIiIiIiIiHqCAXERERERERMQDFJCLiIiIiIiIeIACchEREREREREPUEAuIiIiIiIi4gEKyEVEREREREQ8QAG5iIiIiIiIiAf8ByZ1jBV841n+AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1008x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "M6m5slE_OfHk",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "outputId": "677f8d0d-c28d-41c8-a993-dc32d6923254"
      },
      "source": [
        "df_aux = df.loc['2020-06-30', ['location', 'total_deaths']].sort_values(by='total_deaths', ascending=False)[1:6]\n",
        "fig, ax = plt.subplots(figsize=(14,6))\n",
        "\n",
        "sns.barplot(df_aux.location, df_aux.total_deaths, palette='pastel', ax=ax)\n",
        "\n",
        "ax.set_title('TOP 5 Países com mais mortes de COVID-19')\n",
        "ax.set_xlabel('Países')\n",
        "ax.set_ylabel('Total de Mortes')\n",
        "\n",
        "plt.tight_layout()"
      ],
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1008x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HVjAs2ElXgAm",
        "colab_type": "text"
      },
      "source": [
        "#Visualizando dados do Brasil"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QtklZF9OXm90",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "outputId": "afded0a2-1e13-47d5-c8b3-06fe93a4e323"
      },
      "source": [
        "df_brazil = df[df['location'] == 'Brazil']\n",
        "\n",
        "fig, ax = plt.subplots(figsize=[15, 6])\n",
        "\n",
        "ax.plot(df_brazil[['total_cases', 'total_deaths']])\n",
        "ax.set_title('Casos x Mortes')\n",
        "ax.set_ylabel('Quantidade')\n",
        "ax.set_xlabel('Tempo')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "execution_count": 129,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AiFG4KBvbSja",
        "colab_type": "text"
      },
      "source": [
        "### Taxa de mortalidade no Brasil"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0yn-EkxBYHJ_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "outputId": "75917850-2d87-4d80-80b3-68ac79b585e3"
      },
      "source": [
        "df_mort_br = (df_brazil.total_deaths / df_brazil.total_cases) * 100\n",
        "fig, ax = plt.subplots(figsize=(18,6))\n",
        "ax.plot(df_mort_br)\n",
        "ax.set_title('Taxa de mortalidade no Brasil')\n",
        "ax.set_ylabel('% de mortalidade')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "execution_count": 132,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1296x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qgFcySvWYetP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "outputId": "422f2b23-36b7-4c82-c138-8f71cf23757a"
      },
      "source": [
        "df_mort_br = (df_brazil.total_deaths / df_brazil.total_cases) * 100\n",
        "fig, ax = plt.subplots(figsize=(18,6))\n",
        "ax.plot(df_mort_br)\n",
        "ax.plot(df_mort)\n",
        "ax.set_title('Taxa de mortalidade no Brasil x Mundo')\n",
        "ax.set_ylabel('% de mortalidade')\n",
        "\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "execution_count": 138,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1296x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1D5mNeosbW7P",
        "colab_type": "text"
      },
      "source": [
        "#Conclusão\n",
        "\n",
        "O mundo já registra mais de 10 milhões de casos confirmados do novo coronavírus (Sars-CoV-2), de acordo com os dados. São exatos 10.004.643 infecções, sendo que quatro países representam, praticamente, 50% dos registros em valores absolutos.\n",
        "\n",
        "Os Estados Unidos contabilizam 2.510.323 casos, seguidos pelo Brasil, com 1.313.667, Rússia 633.542 e Índia 528.859. Todos os quatro ainda não conseguiram controlar a curva de contágio, com milhares de novas contaminações sendo registadas diariamente. O número de vítimas do coronavírus passou 500 mil.\n",
        "\n",
        "A taxa de mortalidade do Brasil segue uma linha muito parecida com a taxa do resto do mundo.\n",
        "\n",
        "Porém não podemos observar uma queda nos no mundo e nem no Brasil.\n",
        "\n",
        "\n",
        "\n"
      ]
    }
  ]
}