notebook/Projeto_DeuPositivo.ipynb

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        "<a href=\"https://colab.research.google.com/github/JuniorTorresMTJ/Projeto_DeuPositivo/blob/main/notebook/Projeto_DeuPositivo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    {
      "cell_type": "markdown",
      "metadata": {
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      "source": [
        "***\n",
        "***\n",
        "#ANÁLISE DE DADOS ABERTOS DO SUS\n",
        "***\n",
        "***"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "04pSnV2cKmln"
      },
      "source": [
        "<img src=\"https://i.imgur.com/YJHQX5W.png\" alt=\"SUS\" width= \"750\"/>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "T6EXiQiFiwAr"
      },
      "source": [
        "O PRECONCEITO QUE MATA MAIS QUE A DOENÇA"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5JB9TvqU2oPm"
      },
      "source": [
        "Ouvir/ler **deu positivo**, dependendo do seu repertório, suponho que você deve estar pensando que eu estou falando de gravidez né? Para muitos é uma benção e para outros um Deus me livre, mas não, cerca de 920 mil **pessoas** vivem com **HIV ** no Brasil e quando essas pessoas fizeram o teste elas ouviram: [Deu Positivo](https://github.com/JuniorTorresMTJ/Projeto_DeuPositivo). "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6crlIqYffZJP"
      },
      "source": [
        "***\n",
        "#OBJETIVO\n",
        "\n",
        "***"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iEgoO0EsmZNg"
      },
      "source": [
        "Esse projeto tem como objetivo analisar os dados abertos da saúde disponiveis no [**DATASUS**](http://www2.datasus.gov.br/DATASUS/index.php?area=0202&id=11633&VObj=http://tabnet.datasus.gov.br/cgi/deftohtm.exe?sih/cnv/qi) (Departamento de Informática do Sistema de Saúde do Brasil) sobre novos casos de HIV/AIDS."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TB_woawbfcu2"
      },
      "source": [
        "***\n",
        "#INTRODUÇÃO\n",
        "***"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VTKzazTx_7rc"
      },
      "source": [
        "##SUS - Sistema Único de Saúde"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jB-IQ5WiztDu"
      },
      "source": [
        "<img src=\"https://logodownload.org/wp-content/uploads/2017/02/sus-logo-0.png\" alt=\"SUS\" width= \"250\"/>\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MbDgh4xUoiUK"
      },
      "source": [
        "Creio que você sabe o que é o **SUS** mesmo que não use diariamente ou nunca tenha usado na vida, pois aqui no Brasil esse sistema é muito conhecido e muito utilizado pelas pessoas que possuem uma **baixa renda familiar** ou pessoas que não têm condições de contratar um **plano de saúde**. SUS significa: **Sistema de Único de Saude** e é a denominação do sistema público de saúde brasileira. \n",
        "\n",
        "\n",
        "Todos os cidadãos brasileiros possuem o direito, desde o nascimento, aos serviços de saúde gratuitos. **SUS** foi criado em 1988 no governo do Presidente do Brasil José Sarney e hoje é um dos **maiores sistemas públicos de saúde do mundo**, esse sistema é o **único** a garantir assistência **integral** e completamente **gratuita**.\n",
        "\n",
        "O **Programa Nacional de Imunização** (PNI) é responsável **98% **do mercado de disponibilização de **vacinas** em solo brasileiro, esse programa é promovido pelo **SUS**. As vacinas são disponibilizadas **gratuitamente** para combater diversas **doenças** no país.\n",
        "\n",
        "Além disso, o sistema auxilia gratuitamente os brasileiros vítimas do virus **HIV**(do inglês Human Immunodeficiency Virus), que possuem problemas **renais crônicos, tuberculose, hanseníase e cancer.**\n",
        "\n",
        "Todos os sistemas tem suas falhas, mas graças ao SUS pessoas que não possuem **condições de pagar** por remédios, por vacinas, por consultas em médicos especializados, contratar um convênio,fazer exames caros etc, conseguem ter acesso a esses benefícios de graça.\n",
        "\n",
        "\n",
        "*   [Apesar de problemas, SUS é referencia em saúde pública](https://www1.folha.uol.com.br/seminariosfolha/2018/04/apesar-de-problemas-sus-e-referencia-em-saude-publica-dizem-especialistas.shtml)\n",
        "*   [Dez razões para defender o SUS](https://mst.org.br/2020/03/20/10-razoes-para-defender-o-sus/)\n",
        "\n",
        "*   [7 a cada 10 brasileiros dependem do SUS](https://cesrj.com/2020/09/04/sem-plano-privado-7-em-cada-10-brasileiros-dependem-do-sistema-unico-de-saude/)\n",
        "*   [Antes do SUS, saúde era para poucos](https://www12.senado.leg.br/emdiscussao/edicoes/saude/contexto/antes-do-sus-saude-era-para-poucos)\n",
        "*   [150 milhões de brasileiros dependem do SUS](https://summitsaude.estadao.com.br/desafios-no-brasil/acesso-a-saude-150-milhoes-de-brasileiros-dependem-do-sus/)\n",
        "\n",
        "Apesar de todos os defeitos, os pobres precisam do SUS, precisamos sair de nossas bolhas e olhar ao nosso redor para compreender, ter empatia e dizer:\n",
        "\n",
        "\n",
        "<img src=\"https://media2.giphy.com/media/DqxbHsZEXaNCYZ0AAS/giphy.gif?cid=ecf05e4725ybst0yahsfcqohsjlekh2ye3x2x22nqqv6911n&rid=giphy.gif&ct=s\" alt=\"Viva o SUS\" width=\"300\"/>\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vmJo6JEGACmu"
      },
      "source": [
        "##Dados Abertos"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HJ3pG44GFWWX"
      },
      "source": [
        "<img src=\"https://media4.giphy.com/media/aU1laHdrlRvcpk7tMS/giphy.gif?cid=ecf05e47gkbajfj6xono0qnxbbfwzv729l9sfiumozap9p57&rid=giphy.gif&ct=s\" alt=\"open\" width=\"100\"/>\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qWD9Q5dlC7HA"
      },
      "source": [
        "**Dados abertos** é um termo que vem ganhando muita **popularidade** no movimento de **transparência e governo aberto** no mundo todo. Essa abertura segue o princípio do **Governo Aberto**: tratar o acesso à **informação pública** como regra, não como exceção.\n",
        "\n",
        "Para que um conjunto de dados possa ser considerado **aberto**, ele precisa reunir no **mínimo 3** caracteríscas abaixo:\n",
        "\n",
        "1.   Disponibilidade e acesso\n",
        "2.   Reutilização e redistribuição\n",
        "3.   Participação universal\n",
        "\n",
        "Essas características são resumidas em leis sugeridas pelo ativista dos dados abertos **David Eaves**.\n",
        "\n",
        "Todo dado público **deve** ser aberto, mas **nem todo dado é público**. Na legislação não são dados públicos os dados **sigilosos**, dados que possam comprometer a **segurança** **nacional** e os dados que possam identificar os **indivíduos**.\n",
        "\n",
        "fonte: [Guia de Dados Abertos](https://nic.br/media/docs/publicacoes/13/Guia_Dados_Abertos.pdf)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eZyjK8AaAVFV"
      },
      "source": [
        "Segundo o site [dados.gov](https://dados.gov.br/pagina/dados-abertos), \"dados são abertos quando qualquer pessoa pode livremente acessá-los, utilizá-los, modificá-los e compartilhá-los para qualquer finalidade, estando sujeito a, no máximo, a exigências que visem preservar sua proveniência e sua abertura.\"\n",
        "\n",
        "Trabalhar com dados abertos é um grande desafio, pois muitas vezes os dados estão sujos, faltando informações, desatualizados, difícil acesso, base incompleta e entre outros problemas. Justamente por esses impecilhos, esse projeto tem como objetivo estudar os dados abertos da saúde tirados do **DATASUS**.\n",
        "\n",
        "Você verá que preciso limpar, organizar, manipular diversas vezes esses dados para que eu consiga extrair informações e criar visualizações.\n",
        "\n",
        "* [Dados abertos nas capitais são incompletos e desatualizados](https://exame.com/brasil/dados-abertos-nas-capitais-sao-incompletos-e-desatualizados/)\n",
        "\n",
        "* [Dificuldade de acesso a dados públicos sobre Salvador](https://www.mpba.mp.br/noticia/42310)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GYfvw-0YKRqo"
      },
      "source": [
        "<img src=\"https://media3.giphy.com/media/U6G6RDAr37IZGhoSfM/giphy.gif?cid=ecf05e47oewus8j5dvilw20mh30fpk441w8g83z6xqtf68xb&rid=giphy.gif&ct=s\" alt=\"clean\" width=\"200\"/>\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EeJ1_5M7Q7zG"
      },
      "source": [
        "## AIDS = HIV?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yg_x1ivXRD80"
      },
      "source": [
        "Não, os significados são:\n",
        "-  **AIDS** significa: *Acquired Immune Deficiency Syndrome*, em português Síndrome da Imunodeficiência Adquirida;\n",
        "-  **HIV** significa: *Human Immunodeficiência Virus*,  em português Virus da imunodeficiência humana.\n",
        "\n",
        "Já pelo significados das siglas já conseguimos distinguir uma da outra. Infelizmente, hoje, a população ainda não entendeu que o ter o virus no corpo não é a mesma coisa que ter a doença. \n",
        "\n",
        "Ter HIV no organismo, não é a mesma coisa que ter AIDS, hoje possui muitos soro positivos(portadores do HIV) que vivem anos sem apresentar sintomas e sem desenvolver a doença. \n",
        "\n",
        "O virus pode ser transmitido pelo contato com o sangue, sêmen ou fluidos vaginais infectados. Algumas semanas após a contaminação podem ocorrer sintomas semelhantes aos da gripe, como dor de garganta, fadiga, febre. \n",
        "\n",
        "Geralmente costuma ser assintomática no começo, mas quando evolue para AIDS os sintomas incluem perda de peso , sudorese noturna e infecções recorrentes. \n",
        "\n",
        "Hoje, ainda não existe cura para a AIDS, mas temos muitos estudos sendo realizados: \n",
        "\n",
        "- [Cientistas descobrem anticorpos](https://olhardigital.com.br/2021/05/22/medicina-e-saude/cientistas-descobrem-anticorpos-podem-ser-a-chave-para-a-vacina-contra-hiv/) \n",
        "\n",
        "- [Injeção mais eficaz que coquetel](https://g1.globo.com/ciencia-e-saude/noticia/2020/11/10/esquema-de-prevencao-do-hiv-com-injecoes-e-mais-eficaz-do-que-comprimidos-em-mulheres-aponta-estudo-com-3-mil-voluntarias.ghtml)\n",
        "- [Brasileiro curado da AIDS?](https://g1.globo.com/bemestar/podcast/noticia/2020/07/08/bem-estar-46-o-paciente-brasileiro-que-pode-ter-alcancado-a-cura-da-aids.ghtmlhttps://)\n",
        "\n",
        "- [Coquetel eliminou o vírus da AIDS?](https://g1.globo.com/bemestar/aids/noticia/2020/07/07/pesquisa-brasileira-apresenta-primeiro-medicamento-com-chance-de-eliminar-o-hiv.ghtml)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "axQIB5aKZP3z"
      },
      "source": [
        "###Indectável  = Intransmissível"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0AvbI-EkbFRk"
      },
      "source": [
        "<img src=\"https://static.preparaenem.com/conteudo_legenda/b50d2ed0af362a00922a2dec70b2f0ce.jpg\" alt=\"coquetel\" width=\"500\"/>\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oK1vtsy5aX1P"
      },
      "source": [
        "O coquetel que os portadores do HIV/Aids tomam todos os dias, torna o vírus indectável e estudos indicam que quando um portador está indectável ele não transmite mais o HIV para outras pessoas. Portanto, pessoa soropositiva poderá ter relações sem preservativos sem que o HIV seja transmitido para o parceiro. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nxp-peDybTf_"
      },
      "source": [
        "<img src=\"https://ninecircles.ca/wp-content/uploads/2018/08/uu.jpg\" alt=\"coquetel\" width=\"300\"/>\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g6Smi1xUZYmm"
      },
      "source": [
        "<img src=\"http://giv.org.br/img/hiv-indetectavel=intransmissivel.png\" alt=\"I_I\"/>\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jr9krswuWUri"
      },
      "source": [
        "###Linha do tempo do HIV"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "in5v8VukVpZE"
      },
      "source": [
        "<img src=\"https://www.drakeillafreitas.com.br/wp-content/uploads/2018/01/LInha-do-tempo-HIV.jpg\" alt=\"open\" width=\"900\"/>\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9OYmOPzTWaBz"
      },
      "source": [
        " - 1.981 – **Primeiros casos reconhecidos** <br>\n",
        "Em junho, é publicado em revista médica, o primeiro caso de morte em um homem gay jovem por pneumonia<br>\n",
        "Tratava-se de uma pneumonia grave causada por um fungo, capaz de causar doença apenas em pessoas com imunidade muito baixa."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eb1EYelMWy-p"
      },
      "source": [
        "-  1.982 – **o nome “AIDS”** <br>\n",
        "A Síndrome recebe o nome de Síndrome da Imunodeficiência Adquirida – AIDS. <br>\n",
        "Cientistas suspeitam que a transmissão ocorra por sangue contaminado.<br>\n",
        "Ainda não se sabe o que causa a síndrome<br>\n",
        "Confirmados os primeiros casos de AIDS no Brasil<br>\n",
        "Chamada de Doença dos 5 Hs: Homossexuais, Hemofílicos, Haitianos, Heroinômanos (usuários de heroína injetável), Hookers (profissionais do sexo em inglês)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "x5m7BSKWXGa2"
      },
      "source": [
        " - 1.983 – **A causa é um vírus**<br>\n",
        "Isolado vírus em glândula de paciente com AIDS <br>\n",
        "Primeiramente recebe o nome de Vírus Associado a linfadenopatia – LAV<br>\n",
        "Primeira notificação do vírus em crianças<br>\n",
        "Brasil identifica o seu primeiro caso de transmissão do vírus em mulher"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cii7MyUgXV0x"
      },
      "source": [
        " - 1.986 – **Nome oficial** <br>\n",
        "O vírus recebe oficialmente o nome de Vírus da Imunodeficiência Humana – HIV<br>\n",
        "Presidente Reagan usa publicamente a palavra AIDS pela primeira vez."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BSBK6FazXmNr"
      },
      "source": [
        "- 1.996-97 – **Inicio da Era TARV** (Tratamento Antirretroviral)<br>\n",
        "Inicio do uso do coquetel (zidovudina + Didanosina) para tratamento do HIV. <br>\n",
        "O tratamento é capaz de reduzir a taxa viral a níveis quase indetectáveis no sangue e reduz as mortes por HIV em 40%. <br>\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6Z51DugAX682"
      },
      "source": [
        "- 2016-17 – **PrEP no Brasil / U=U** <br>\n",
        "Anvisa libera o uso do Truvada (medicação usada para a Profiláxia Pré-exposição)  no Brasil que passa a ser disponibilizada pelo SUS <br>\n",
        "CDC – Centro de Controle de doenças dos Estados Unidos, define que pessoas com Carga Viral indetectável não transmitem o vírus, mesmo em relações sexuais sem preservativo. É a campanha U=U (undetectable is untransmittable) ou seja, I=I (Indetectável é igual a Intransmissível) "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QEBCFnidA7NK"
      },
      "source": [
        "fonte: https://www.drakeillafreitas.com.br/historia-do-hiv/"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xkubyglD2n80"
      },
      "source": [
        "***\n",
        "#ESCOPO DO PROJETO\n",
        "***"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cwTB9na6oey_"
      },
      "source": [
        "“Sabe quando as pessoas falam sobre HIV? Uma vez por ano, no Dia Mundial da Luta Contra a Aids”, resume a professora de inglês Aurea Carolina Coelho More, que convive com o vírus há mais de 12 anos.\n",
        "\n",
        "Ouvir/ler deu positivo, dependendo do seu repertório, suponho que você deve estar pensando que eu estou falando de gravidez né? Para muitos é uma benção e para outros um Deus me livre, mas não, mais 900 mil pessoas vivem com HIV no Brasil e quando essas pessoas fizeram o teste elas ouviram: Deu Positivo."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "veHWMIVBoiHF"
      },
      "source": [
        "Você acha que HIV/AIDS está relacionado a homossexualidade? HIV/AIDS atinge só homossexuais? o objetivo desse estudo é desmistificar esse pensamento dos anos 80"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1JyPWvPuvbsW"
      },
      "source": [
        "Fonte dos dados\n",
        "\n",
        "DATASUS: [Clique Aqui](http://www2.datasus.gov.br/DATASUS/index.php?area=0202&id=11633&VObj=http://tabnet.datasus.gov.br/cgi/deftohtm.exe?sih/cnv/qi) \n",
        "\n",
        "AIDS - Tabnet: [Clique Aqui](http://www2.aids.gov.br/cgi/deftohtm.exe?tabnet/br.def)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "clnxM3icfk2e"
      },
      "source": [
        "***\n",
        "#IMPORTAÇÃO DAS BIBLIOTECAS\n",
        "***"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2a95o7pF4H7Y"
      },
      "source": [
        "Para realizar esse projeto de análise de dados, vamos importar as bibliotecas que nos auxilirá no estudo.<BR>\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "t4xl6ai_7L3T"
      },
      "source": [
        "import pandas            as pd\n",
        "import numpy             as np\n",
        "\n",
        "\n",
        "#bibliotecas de visualização\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.ticker as ticker\n",
        "import seaborn           as sns\n",
        "\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HxlV9nAHfpLw"
      },
      "source": [
        "***\n",
        "#CARREGAMENTO DAS BASES\n",
        "***"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zcCpe2Iq6zd2"
      },
      "source": [
        "Precisamos importar os datasets, para isso utilizaremos o a biblioteca Pandas e ler os arquivos em .CSV, mas essas bases de dados são separadas por “;”, para especificar que a separação do arquivo, utilizamos o parâmetro “sep =”, como também colocamos o parâmetro de qual encoding está o arquivo. Neste caso os arquivos estão em “UFT-8”.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SZRxvT_44Tog"
      },
      "source": [
        "df_escolaridade =  pd.read_csv(\"https://github.com/JuniorTorresMTJ/temp/blob/main/data/hiv_escola.csv?raw=true\", \n",
        "                               encoding='utf8', sep=\";\")\n",
        "df_etária = pd.read_csv(\"https://github.com/JuniorTorresMTJ/temp/blob/main/data/hiv_faixaetaria.csv?raw=true\", \n",
        "                               encoding='utf8', sep=\";\")\n",
        "df_raca = pd.read_csv(\"https://github.com/JuniorTorresMTJ/temp/blob/main/data/hiv_raca.csv?raw=true\", \n",
        "                               encoding='utf8', sep=\";\")\n",
        "df_sexo = pd.read_csv(\"https://github.com/JuniorTorresMTJ/temp/blob/main/data/hiv_sexo.csv?raw=true\", \n",
        "                               encoding='utf8', sep=\";\")\n",
        "df_sexualidade = pd.read_csv(\"https://github.com/JuniorTorresMTJ/temp/blob/main/data/hiv_sexualidade.csv?raw=true\", \n",
        "                               encoding='utf8', sep=\";\")\n",
        "df_sex_evo = pd.read_csv(\"https://github.com/JuniorTorresMTJ/temp/blob/main/data/hiv_sexualidade_evo.csv?raw=true\", \n",
        "                               encoding='utf8', sep=\";\")\n",
        "df_gastos =  pd.read_csv(\"https://github.com/JuniorTorresMTJ/Projeto_DeuPositivo/blob/main/data/GastosHiv.csv?raw=true\", \n",
        "                         encoding=\"ISO-8859-1\", skiprows=4, skipfooter = 12, sep=\";\", thousands=\".\", decimal =\",\")\n",
        "df_obitos =  pd.read_csv(\"https://github.com/JuniorTorresMTJ/Projeto_DeuPositivo/blob/main/data/ObitosHiv.csv?raw=true\", \n",
        "                         encoding=\"ISO-8859-1\", skiprows=4, skipfooter = 12, sep=\";\", thousands=\".\", decimal =\",\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U_bgLWKU7Fro"
      },
      "source": [
        "Agora vamos olhar todos os nossos dataframes criados chamados: \n",
        "\n",
        "\n",
        "*   **df_escolaridade** = Conjunto de dados que possui os dados de quantidade de diagnóstico de HIV por escolariadade por ano. <BR>\n",
        "*   **df_etária** = Conjunto de dados que possui os dados de quantidade de diagnóstico de HIV por faixa etária por ano. <BR>\n",
        "*   **df_raca **= Conjunto de dados que possui os dados de quantidade de diagnóstico de HIV por por raça. <BR>\n",
        "*   **df_sexo** = Conjunto de dados que possui os dados de quantidade de diagnóstico de HIV por sexo por ano.<BR>\n",
        "*   **df_sexualidade** = Conjunto de dados que possui os dados de quantidade de diagnóstico de HIV por orientação sexual e estado.<BR>\n",
        "*   **df_sex_evo** = Conjunto de dados que possui os dados de quantidade de diagnóstico de HIV por orientação sexual por ano.<BR>\n",
        "*   **df_gastos** = Conjunto de dados que possui os dados de quantidade de gastos em tratamento de HIV/AIDS por ano.\n",
        "*   **df_obitos** = Conjunto de dados que possui os dados de quantidade mortes com Tratamento de HIV/AIDS\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 546
        },
        "id": "h_I64u3r4trd",
        "outputId": "6a1d9ab1-50a5-4abe-aac3-918714c2189f"
      },
      "source": [
        "df_escolaridade"
      ],
      "execution_count": null,
      "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>Escolaridade</th>\n",
              "      <th>1980</th>\n",
              "      <th>1982</th>\n",
              "      <th>1983</th>\n",
              "      <th>1984</th>\n",
              "      <th>1985</th>\n",
              "      <th>1986</th>\n",
              "      <th>1987</th>\n",
              "      <th>1988</th>\n",
              "      <th>1989</th>\n",
              "      <th>1990</th>\n",
              "      <th>1991</th>\n",
              "      <th>1992</th>\n",
              "      <th>1993</th>\n",
              "      <th>1994</th>\n",
              "      <th>1995</th>\n",
              "      <th>1996</th>\n",
              "      <th>1997</th>\n",
              "      <th>1998</th>\n",
              "      <th>1999</th>\n",
              "      <th>2000</th>\n",
              "      <th>2001</th>\n",
              "      <th>2002</th>\n",
              "      <th>2003</th>\n",
              "      <th>2004</th>\n",
              "      <th>2005</th>\n",
              "      <th>2006</th>\n",
              "      <th>2007</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "      <th>2012</th>\n",
              "      <th>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2018</th>\n",
              "      <th>2019</th>\n",
              "      <th>2020</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>analfabeto</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>16</td>\n",
              "      <td>50</td>\n",
              "      <td>68</td>\n",
              "      <td>124</td>\n",
              "      <td>132</td>\n",
              "      <td>237</td>\n",
              "      <td>311</td>\n",
              "      <td>472</td>\n",
              "      <td>536</td>\n",
              "      <td>697</td>\n",
              "      <td>857</td>\n",
              "      <td>1049</td>\n",
              "      <td>1105</td>\n",
              "      <td>964</td>\n",
              "      <td>1096</td>\n",
              "      <td>1047</td>\n",
              "      <td>1087</td>\n",
              "      <td>959</td>\n",
              "      <td>919</td>\n",
              "      <td>847</td>\n",
              "      <td>749</td>\n",
              "      <td>542</td>\n",
              "      <td>595</td>\n",
              "      <td>629</td>\n",
              "      <td>680</td>\n",
              "      <td>718</td>\n",
              "      <td>674</td>\n",
              "      <td>685</td>\n",
              "      <td>596</td>\n",
              "      <td>518</td>\n",
              "      <td>488</td>\n",
              "      <td>471</td>\n",
              "      <td>420</td>\n",
              "      <td>398</td>\n",
              "      <td>85</td>\n",
              "      <td>20824</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1ª a 4ª série incompleta</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>20</td>\n",
              "      <td>80</td>\n",
              "      <td>322</td>\n",
              "      <td>724</td>\n",
              "      <td>1050</td>\n",
              "      <td>1585</td>\n",
              "      <td>2078</td>\n",
              "      <td>2903</td>\n",
              "      <td>3514</td>\n",
              "      <td>4011</td>\n",
              "      <td>4426</td>\n",
              "      <td>5104</td>\n",
              "      <td>5866</td>\n",
              "      <td>8010</td>\n",
              "      <td>7434</td>\n",
              "      <td>7369</td>\n",
              "      <td>6149</td>\n",
              "      <td>4415</td>\n",
              "      <td>3785</td>\n",
              "      <td>3638</td>\n",
              "      <td>3132</td>\n",
              "      <td>2805</td>\n",
              "      <td>2433</td>\n",
              "      <td>2575</td>\n",
              "      <td>2406</td>\n",
              "      <td>2331</td>\n",
              "      <td>2405</td>\n",
              "      <td>2384</td>\n",
              "      <td>2251</td>\n",
              "      <td>2060</td>\n",
              "      <td>1863</td>\n",
              "      <td>1548</td>\n",
              "      <td>1342</td>\n",
              "      <td>1240</td>\n",
              "      <td>1032</td>\n",
              "      <td>283</td>\n",
              "      <td>104581</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4ª série completa</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>9</td>\n",
              "      <td>5</td>\n",
              "      <td>15</td>\n",
              "      <td>16</td>\n",
              "      <td>22</td>\n",
              "      <td>31</td>\n",
              "      <td>30</td>\n",
              "      <td>64</td>\n",
              "      <td>79</td>\n",
              "      <td>96</td>\n",
              "      <td>200</td>\n",
              "      <td>165</td>\n",
              "      <td>275</td>\n",
              "      <td>334</td>\n",
              "      <td>353</td>\n",
              "      <td>457</td>\n",
              "      <td>803</td>\n",
              "      <td>2227</td>\n",
              "      <td>2099</td>\n",
              "      <td>1990</td>\n",
              "      <td>1787</td>\n",
              "      <td>1850</td>\n",
              "      <td>1777</td>\n",
              "      <td>1566</td>\n",
              "      <td>1496</td>\n",
              "      <td>1318</td>\n",
              "      <td>1086</td>\n",
              "      <td>943</td>\n",
              "      <td>842</td>\n",
              "      <td>685</td>\n",
              "      <td>191</td>\n",
              "      <td>22827</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>5ª a 8ª série incompleta</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>19</td>\n",
              "      <td>62</td>\n",
              "      <td>112</td>\n",
              "      <td>362</td>\n",
              "      <td>718</td>\n",
              "      <td>1133</td>\n",
              "      <td>1732</td>\n",
              "      <td>2428</td>\n",
              "      <td>3286</td>\n",
              "      <td>3961</td>\n",
              "      <td>4291</td>\n",
              "      <td>5125</td>\n",
              "      <td>5926</td>\n",
              "      <td>6924</td>\n",
              "      <td>6799</td>\n",
              "      <td>6225</td>\n",
              "      <td>6828</td>\n",
              "      <td>7242</td>\n",
              "      <td>8233</td>\n",
              "      <td>8563</td>\n",
              "      <td>8174</td>\n",
              "      <td>7572</td>\n",
              "      <td>6877</td>\n",
              "      <td>5242</td>\n",
              "      <td>5279</td>\n",
              "      <td>5301</td>\n",
              "      <td>5263</td>\n",
              "      <td>5277</td>\n",
              "      <td>5250</td>\n",
              "      <td>5285</td>\n",
              "      <td>4649</td>\n",
              "      <td>3953</td>\n",
              "      <td>3570</td>\n",
              "      <td>3275</td>\n",
              "      <td>2836</td>\n",
              "      <td>2409</td>\n",
              "      <td>645</td>\n",
              "      <td>160829</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>fundamental completo</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>13</td>\n",
              "      <td>16</td>\n",
              "      <td>23</td>\n",
              "      <td>25</td>\n",
              "      <td>35</td>\n",
              "      <td>50</td>\n",
              "      <td>86</td>\n",
              "      <td>114</td>\n",
              "      <td>146</td>\n",
              "      <td>176</td>\n",
              "      <td>245</td>\n",
              "      <td>285</td>\n",
              "      <td>399</td>\n",
              "      <td>453</td>\n",
              "      <td>552</td>\n",
              "      <td>708</td>\n",
              "      <td>1265</td>\n",
              "      <td>3115</td>\n",
              "      <td>3093</td>\n",
              "      <td>3026</td>\n",
              "      <td>3047</td>\n",
              "      <td>2972</td>\n",
              "      <td>2935</td>\n",
              "      <td>3018</td>\n",
              "      <td>2625</td>\n",
              "      <td>2280</td>\n",
              "      <td>2102</td>\n",
              "      <td>1948</td>\n",
              "      <td>1731</td>\n",
              "      <td>1462</td>\n",
              "      <td>424</td>\n",
              "      <td>38386</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>médio incompleto</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>13</td>\n",
              "      <td>56</td>\n",
              "      <td>125</td>\n",
              "      <td>336</td>\n",
              "      <td>608</td>\n",
              "      <td>817</td>\n",
              "      <td>1211</td>\n",
              "      <td>1714</td>\n",
              "      <td>2138</td>\n",
              "      <td>2560</td>\n",
              "      <td>2805</td>\n",
              "      <td>3173</td>\n",
              "      <td>3371</td>\n",
              "      <td>3728</td>\n",
              "      <td>4177</td>\n",
              "      <td>3936</td>\n",
              "      <td>4165</td>\n",
              "      <td>4439</td>\n",
              "      <td>5196</td>\n",
              "      <td>5356</td>\n",
              "      <td>5360</td>\n",
              "      <td>4873</td>\n",
              "      <td>4199</td>\n",
              "      <td>1782</td>\n",
              "      <td>1951</td>\n",
              "      <td>1861</td>\n",
              "      <td>1902</td>\n",
              "      <td>1956</td>\n",
              "      <td>2026</td>\n",
              "      <td>1964</td>\n",
              "      <td>1858</td>\n",
              "      <td>1712</td>\n",
              "      <td>1617</td>\n",
              "      <td>1545</td>\n",
              "      <td>1343</td>\n",
              "      <td>1223</td>\n",
              "      <td>378</td>\n",
              "      <td>87483</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>médio completo</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>11</td>\n",
              "      <td>7</td>\n",
              "      <td>16</td>\n",
              "      <td>26</td>\n",
              "      <td>32</td>\n",
              "      <td>43</td>\n",
              "      <td>60</td>\n",
              "      <td>60</td>\n",
              "      <td>96</td>\n",
              "      <td>154</td>\n",
              "      <td>232</td>\n",
              "      <td>217</td>\n",
              "      <td>260</td>\n",
              "      <td>301</td>\n",
              "      <td>450</td>\n",
              "      <td>474</td>\n",
              "      <td>585</td>\n",
              "      <td>814</td>\n",
              "      <td>1147</td>\n",
              "      <td>3026</td>\n",
              "      <td>3749</td>\n",
              "      <td>4044</td>\n",
              "      <td>4447</td>\n",
              "      <td>4844</td>\n",
              "      <td>5388</td>\n",
              "      <td>5660</td>\n",
              "      <td>5468</td>\n",
              "      <td>4988</td>\n",
              "      <td>4706</td>\n",
              "      <td>4556</td>\n",
              "      <td>4265</td>\n",
              "      <td>3863</td>\n",
              "      <td>1171</td>\n",
              "      <td>65179</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>superior incompleto</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
              "      <td>13</td>\n",
              "      <td>21</td>\n",
              "      <td>21</td>\n",
              "      <td>31</td>\n",
              "      <td>28</td>\n",
              "      <td>52</td>\n",
              "      <td>50</td>\n",
              "      <td>54</td>\n",
              "      <td>73</td>\n",
              "      <td>100</td>\n",
              "      <td>150</td>\n",
              "      <td>238</td>\n",
              "      <td>573</td>\n",
              "      <td>674</td>\n",
              "      <td>803</td>\n",
              "      <td>956</td>\n",
              "      <td>1054</td>\n",
              "      <td>1202</td>\n",
              "      <td>1388</td>\n",
              "      <td>1386</td>\n",
              "      <td>1296</td>\n",
              "      <td>1162</td>\n",
              "      <td>1205</td>\n",
              "      <td>1104</td>\n",
              "      <td>852</td>\n",
              "      <td>242</td>\n",
              "      <td>14752</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>superior completo</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "      <td>27</td>\n",
              "      <td>104</td>\n",
              "      <td>209</td>\n",
              "      <td>437</td>\n",
              "      <td>689</td>\n",
              "      <td>953</td>\n",
              "      <td>1252</td>\n",
              "      <td>1394</td>\n",
              "      <td>1667</td>\n",
              "      <td>1556</td>\n",
              "      <td>1503</td>\n",
              "      <td>1576</td>\n",
              "      <td>1765</td>\n",
              "      <td>1695</td>\n",
              "      <td>1916</td>\n",
              "      <td>1710</td>\n",
              "      <td>1699</td>\n",
              "      <td>1643</td>\n",
              "      <td>1901</td>\n",
              "      <td>2047</td>\n",
              "      <td>2078</td>\n",
              "      <td>2252</td>\n",
              "      <td>1985</td>\n",
              "      <td>1285</td>\n",
              "      <td>1436</td>\n",
              "      <td>1637</td>\n",
              "      <td>1772</td>\n",
              "      <td>2067</td>\n",
              "      <td>2254</td>\n",
              "      <td>2319</td>\n",
              "      <td>2273</td>\n",
              "      <td>2167</td>\n",
              "      <td>1963</td>\n",
              "      <td>2025</td>\n",
              "      <td>1835</td>\n",
              "      <td>1591</td>\n",
              "      <td>482</td>\n",
              "      <td>57173</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>não se aplica</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>12</td>\n",
              "      <td>52</td>\n",
              "      <td>98</td>\n",
              "      <td>125</td>\n",
              "      <td>187</td>\n",
              "      <td>248</td>\n",
              "      <td>338</td>\n",
              "      <td>376</td>\n",
              "      <td>537</td>\n",
              "      <td>665</td>\n",
              "      <td>808</td>\n",
              "      <td>891</td>\n",
              "      <td>845</td>\n",
              "      <td>797</td>\n",
              "      <td>692</td>\n",
              "      <td>726</td>\n",
              "      <td>749</td>\n",
              "      <td>797</td>\n",
              "      <td>603</td>\n",
              "      <td>608</td>\n",
              "      <td>457</td>\n",
              "      <td>357</td>\n",
              "      <td>353</td>\n",
              "      <td>325</td>\n",
              "      <td>327</td>\n",
              "      <td>285</td>\n",
              "      <td>307</td>\n",
              "      <td>268</td>\n",
              "      <td>238</td>\n",
              "      <td>181</td>\n",
              "      <td>183</td>\n",
              "      <td>179</td>\n",
              "      <td>143</td>\n",
              "      <td>116</td>\n",
              "      <td>22</td>\n",
              "      <td>13904</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Total</td>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "      <td>21</td>\n",
              "      <td>69</td>\n",
              "      <td>253</td>\n",
              "      <td>563</td>\n",
              "      <td>1576</td>\n",
              "      <td>2931</td>\n",
              "      <td>4219</td>\n",
              "      <td>6141</td>\n",
              "      <td>8150</td>\n",
              "      <td>10713</td>\n",
              "      <td>12527</td>\n",
              "      <td>13803</td>\n",
              "      <td>15816</td>\n",
              "      <td>18064</td>\n",
              "      <td>20506</td>\n",
              "      <td>23340</td>\n",
              "      <td>21583</td>\n",
              "      <td>22606</td>\n",
              "      <td>22047</td>\n",
              "      <td>22759</td>\n",
              "      <td>22841</td>\n",
              "      <td>22362</td>\n",
              "      <td>21413</td>\n",
              "      <td>20525</td>\n",
              "      <td>20582</td>\n",
              "      <td>21804</td>\n",
              "      <td>22022</td>\n",
              "      <td>22512</td>\n",
              "      <td>23428</td>\n",
              "      <td>24197</td>\n",
              "      <td>24404</td>\n",
              "      <td>22649</td>\n",
              "      <td>20276</td>\n",
              "      <td>18425</td>\n",
              "      <td>17489</td>\n",
              "      <td>15759</td>\n",
              "      <td>13631</td>\n",
              "      <td>3923</td>\n",
              "      <td>585938</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                Escolaridade  1980  1982  1983  ...   2018   2019  2020   Total\n",
              "0                 analfabeto     0     1     0  ...    420    398    85   20824\n",
              "1   1ª a 4ª série incompleta     0     1     3  ...   1240   1032   283  104581\n",
              "2          4ª série completa     0     1     0  ...    842    685   191   22827\n",
              "3   5ª a 8ª série incompleta     0     0     3  ...   2836   2409   645  160829\n",
              "4       fundamental completo     0     0     0  ...   1731   1462   424   38386\n",
              "5           médio incompleto     1     2     6  ...   1343   1223   378   87483\n",
              "6             médio completo     0     1     1  ...   4265   3863  1171   65179\n",
              "7        superior incompleto     0     1     0  ...   1104    852   242   14752\n",
              "8          superior completo     0     1     8  ...   1835   1591   482   57173\n",
              "9              não se aplica     0     0     0  ...    143    116    22   13904\n",
              "10                     Total     1     8    21  ...  15759  13631  3923  585938\n",
              "\n",
              "[11 rows x 42 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "id": "6BnTnXEv4vBN",
        "outputId": "43b71b63-148d-4aeb-8d82-04e89e6668bc"
      },
      "source": [
        "df_etária"
      ],
      "execution_count": null,
      "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>Fx. Etária(SINAN)</th>\n",
              "      <th>1980</th>\n",
              "      <th>1982</th>\n",
              "      <th>1983</th>\n",
              "      <th>1984</th>\n",
              "      <th>1985</th>\n",
              "      <th>1986</th>\n",
              "      <th>1987</th>\n",
              "      <th>1988</th>\n",
              "      <th>1989</th>\n",
              "      <th>1990</th>\n",
              "      <th>1991</th>\n",
              "      <th>1992</th>\n",
              "      <th>1993</th>\n",
              "      <th>1994</th>\n",
              "      <th>1995</th>\n",
              "      <th>1996</th>\n",
              "      <th>1997</th>\n",
              "      <th>1998</th>\n",
              "      <th>1999</th>\n",
              "      <th>2000</th>\n",
              "      <th>2001</th>\n",
              "      <th>2002</th>\n",
              "      <th>2003</th>\n",
              "      <th>2004</th>\n",
              "      <th>2005</th>\n",
              "      <th>2006</th>\n",
              "      <th>2007</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "      <th>2012</th>\n",
              "      <th>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2018</th>\n",
              "      <th>2019</th>\n",
              "      <th>2020</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>&lt; 1 ano</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>29</td>\n",
              "      <td>60</td>\n",
              "      <td>63</td>\n",
              "      <td>106</td>\n",
              "      <td>145</td>\n",
              "      <td>179</td>\n",
              "      <td>203</td>\n",
              "      <td>280</td>\n",
              "      <td>336</td>\n",
              "      <td>440</td>\n",
              "      <td>410</td>\n",
              "      <td>382</td>\n",
              "      <td>347</td>\n",
              "      <td>400</td>\n",
              "      <td>369</td>\n",
              "      <td>336</td>\n",
              "      <td>333</td>\n",
              "      <td>338</td>\n",
              "      <td>330</td>\n",
              "      <td>295</td>\n",
              "      <td>287</td>\n",
              "      <td>277</td>\n",
              "      <td>269</td>\n",
              "      <td>270</td>\n",
              "      <td>282</td>\n",
              "      <td>236</td>\n",
              "      <td>211</td>\n",
              "      <td>200</td>\n",
              "      <td>188</td>\n",
              "      <td>150</td>\n",
              "      <td>147</td>\n",
              "      <td>128</td>\n",
              "      <td>144</td>\n",
              "      <td>36</td>\n",
              "      <td>8220</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1-4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>8</td>\n",
              "      <td>21</td>\n",
              "      <td>41</td>\n",
              "      <td>56</td>\n",
              "      <td>74</td>\n",
              "      <td>108</td>\n",
              "      <td>147</td>\n",
              "      <td>165</td>\n",
              "      <td>244</td>\n",
              "      <td>315</td>\n",
              "      <td>378</td>\n",
              "      <td>463</td>\n",
              "      <td>504</td>\n",
              "      <td>470</td>\n",
              "      <td>563</td>\n",
              "      <td>571</td>\n",
              "      <td>786</td>\n",
              "      <td>650</td>\n",
              "      <td>469</td>\n",
              "      <td>492</td>\n",
              "      <td>379</td>\n",
              "      <td>332</td>\n",
              "      <td>337</td>\n",
              "      <td>325</td>\n",
              "      <td>310</td>\n",
              "      <td>219</td>\n",
              "      <td>288</td>\n",
              "      <td>261</td>\n",
              "      <td>218</td>\n",
              "      <td>187</td>\n",
              "      <td>207</td>\n",
              "      <td>183</td>\n",
              "      <td>158</td>\n",
              "      <td>136</td>\n",
              "      <td>39</td>\n",
              "      <td>10110</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>5-9</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "      <td>12</td>\n",
              "      <td>16</td>\n",
              "      <td>25</td>\n",
              "      <td>32</td>\n",
              "      <td>35</td>\n",
              "      <td>38</td>\n",
              "      <td>45</td>\n",
              "      <td>60</td>\n",
              "      <td>80</td>\n",
              "      <td>110</td>\n",
              "      <td>130</td>\n",
              "      <td>135</td>\n",
              "      <td>169</td>\n",
              "      <td>228</td>\n",
              "      <td>269</td>\n",
              "      <td>506</td>\n",
              "      <td>446</td>\n",
              "      <td>436</td>\n",
              "      <td>372</td>\n",
              "      <td>301</td>\n",
              "      <td>273</td>\n",
              "      <td>247</td>\n",
              "      <td>206</td>\n",
              "      <td>195</td>\n",
              "      <td>165</td>\n",
              "      <td>124</td>\n",
              "      <td>122</td>\n",
              "      <td>118</td>\n",
              "      <td>94</td>\n",
              "      <td>77</td>\n",
              "      <td>76</td>\n",
              "      <td>79</td>\n",
              "      <td>88</td>\n",
              "      <td>18</td>\n",
              "      <td>5339</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>10-14</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>9</td>\n",
              "      <td>22</td>\n",
              "      <td>27</td>\n",
              "      <td>39</td>\n",
              "      <td>36</td>\n",
              "      <td>42</td>\n",
              "      <td>34</td>\n",
              "      <td>39</td>\n",
              "      <td>47</td>\n",
              "      <td>49</td>\n",
              "      <td>51</td>\n",
              "      <td>63</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>86</td>\n",
              "      <td>105</td>\n",
              "      <td>193</td>\n",
              "      <td>164</td>\n",
              "      <td>195</td>\n",
              "      <td>207</td>\n",
              "      <td>187</td>\n",
              "      <td>229</td>\n",
              "      <td>233</td>\n",
              "      <td>200</td>\n",
              "      <td>176</td>\n",
              "      <td>195</td>\n",
              "      <td>160</td>\n",
              "      <td>147</td>\n",
              "      <td>114</td>\n",
              "      <td>89</td>\n",
              "      <td>79</td>\n",
              "      <td>75</td>\n",
              "      <td>68</td>\n",
              "      <td>55</td>\n",
              "      <td>11</td>\n",
              "      <td>3558</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>15-19</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>7</td>\n",
              "      <td>27</td>\n",
              "      <td>49</td>\n",
              "      <td>127</td>\n",
              "      <td>210</td>\n",
              "      <td>245</td>\n",
              "      <td>358</td>\n",
              "      <td>437</td>\n",
              "      <td>398</td>\n",
              "      <td>402</td>\n",
              "      <td>405</td>\n",
              "      <td>450</td>\n",
              "      <td>407</td>\n",
              "      <td>498</td>\n",
              "      <td>595</td>\n",
              "      <td>522</td>\n",
              "      <td>628</td>\n",
              "      <td>603</td>\n",
              "      <td>673</td>\n",
              "      <td>674</td>\n",
              "      <td>650</td>\n",
              "      <td>572</td>\n",
              "      <td>618</td>\n",
              "      <td>606</td>\n",
              "      <td>699</td>\n",
              "      <td>726</td>\n",
              "      <td>721</td>\n",
              "      <td>814</td>\n",
              "      <td>901</td>\n",
              "      <td>992</td>\n",
              "      <td>1043</td>\n",
              "      <td>1036</td>\n",
              "      <td>976</td>\n",
              "      <td>909</td>\n",
              "      <td>795</td>\n",
              "      <td>772</td>\n",
              "      <td>260</td>\n",
              "      <td>20806</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>20-34</td>\n",
              "      <td>1</td>\n",
              "      <td>10</td>\n",
              "      <td>26</td>\n",
              "      <td>64</td>\n",
              "      <td>259</td>\n",
              "      <td>590</td>\n",
              "      <td>1480</td>\n",
              "      <td>2410</td>\n",
              "      <td>3356</td>\n",
              "      <td>4916</td>\n",
              "      <td>6709</td>\n",
              "      <td>8299</td>\n",
              "      <td>9491</td>\n",
              "      <td>10152</td>\n",
              "      <td>11176</td>\n",
              "      <td>12615</td>\n",
              "      <td>13592</td>\n",
              "      <td>14625</td>\n",
              "      <td>12946</td>\n",
              "      <td>16822</td>\n",
              "      <td>15809</td>\n",
              "      <td>16929</td>\n",
              "      <td>16085</td>\n",
              "      <td>15829</td>\n",
              "      <td>15356</td>\n",
              "      <td>14898</td>\n",
              "      <td>15228</td>\n",
              "      <td>16121</td>\n",
              "      <td>16204</td>\n",
              "      <td>16258</td>\n",
              "      <td>16955</td>\n",
              "      <td>17085</td>\n",
              "      <td>17527</td>\n",
              "      <td>16943</td>\n",
              "      <td>16491</td>\n",
              "      <td>15677</td>\n",
              "      <td>15802</td>\n",
              "      <td>15323</td>\n",
              "      <td>15061</td>\n",
              "      <td>4985</td>\n",
              "      <td>440105</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>35-49</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>12</td>\n",
              "      <td>42</td>\n",
              "      <td>188</td>\n",
              "      <td>379</td>\n",
              "      <td>820</td>\n",
              "      <td>1292</td>\n",
              "      <td>1809</td>\n",
              "      <td>2574</td>\n",
              "      <td>3304</td>\n",
              "      <td>4289</td>\n",
              "      <td>4988</td>\n",
              "      <td>5685</td>\n",
              "      <td>6918</td>\n",
              "      <td>8017</td>\n",
              "      <td>8892</td>\n",
              "      <td>10259</td>\n",
              "      <td>9796</td>\n",
              "      <td>14311</td>\n",
              "      <td>13832</td>\n",
              "      <td>16015</td>\n",
              "      <td>15768</td>\n",
              "      <td>15991</td>\n",
              "      <td>16142</td>\n",
              "      <td>16109</td>\n",
              "      <td>16391</td>\n",
              "      <td>17165</td>\n",
              "      <td>16983</td>\n",
              "      <td>16430</td>\n",
              "      <td>17379</td>\n",
              "      <td>16738</td>\n",
              "      <td>16651</td>\n",
              "      <td>16117</td>\n",
              "      <td>15432</td>\n",
              "      <td>14845</td>\n",
              "      <td>13994</td>\n",
              "      <td>14035</td>\n",
              "      <td>13723</td>\n",
              "      <td>4330</td>\n",
              "      <td>387647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>50-64</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>7</td>\n",
              "      <td>32</td>\n",
              "      <td>70</td>\n",
              "      <td>155</td>\n",
              "      <td>241</td>\n",
              "      <td>366</td>\n",
              "      <td>473</td>\n",
              "      <td>634</td>\n",
              "      <td>740</td>\n",
              "      <td>955</td>\n",
              "      <td>1000</td>\n",
              "      <td>1270</td>\n",
              "      <td>1439</td>\n",
              "      <td>1687</td>\n",
              "      <td>1989</td>\n",
              "      <td>1924</td>\n",
              "      <td>3027</td>\n",
              "      <td>2954</td>\n",
              "      <td>3498</td>\n",
              "      <td>3585</td>\n",
              "      <td>3914</td>\n",
              "      <td>4224</td>\n",
              "      <td>4287</td>\n",
              "      <td>4725</td>\n",
              "      <td>5418</td>\n",
              "      <td>5500</td>\n",
              "      <td>5644</td>\n",
              "      <td>5908</td>\n",
              "      <td>6072</td>\n",
              "      <td>6414</td>\n",
              "      <td>6406</td>\n",
              "      <td>6420</td>\n",
              "      <td>6329</td>\n",
              "      <td>6191</td>\n",
              "      <td>6215</td>\n",
              "      <td>6067</td>\n",
              "      <td>1880</td>\n",
              "      <td>117664</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>65-79</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>25</td>\n",
              "      <td>37</td>\n",
              "      <td>43</td>\n",
              "      <td>60</td>\n",
              "      <td>84</td>\n",
              "      <td>90</td>\n",
              "      <td>98</td>\n",
              "      <td>133</td>\n",
              "      <td>181</td>\n",
              "      <td>203</td>\n",
              "      <td>208</td>\n",
              "      <td>270</td>\n",
              "      <td>258</td>\n",
              "      <td>398</td>\n",
              "      <td>406</td>\n",
              "      <td>440</td>\n",
              "      <td>462</td>\n",
              "      <td>503</td>\n",
              "      <td>502</td>\n",
              "      <td>538</td>\n",
              "      <td>605</td>\n",
              "      <td>682</td>\n",
              "      <td>738</td>\n",
              "      <td>736</td>\n",
              "      <td>800</td>\n",
              "      <td>812</td>\n",
              "      <td>978</td>\n",
              "      <td>904</td>\n",
              "      <td>994</td>\n",
              "      <td>1010</td>\n",
              "      <td>1076</td>\n",
              "      <td>1145</td>\n",
              "      <td>1177</td>\n",
              "      <td>302</td>\n",
              "      <td>16903</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>80 e mais</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>11</td>\n",
              "      <td>16</td>\n",
              "      <td>19</td>\n",
              "      <td>23</td>\n",
              "      <td>21</td>\n",
              "      <td>18</td>\n",
              "      <td>29</td>\n",
              "      <td>30</td>\n",
              "      <td>31</td>\n",
              "      <td>36</td>\n",
              "      <td>45</td>\n",
              "      <td>41</td>\n",
              "      <td>35</td>\n",
              "      <td>55</td>\n",
              "      <td>63</td>\n",
              "      <td>65</td>\n",
              "      <td>72</td>\n",
              "      <td>64</td>\n",
              "      <td>75</td>\n",
              "      <td>82</td>\n",
              "      <td>94</td>\n",
              "      <td>85</td>\n",
              "      <td>19</td>\n",
              "      <td>1067</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>ignorado</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "      <td>10</td>\n",
              "      <td>13</td>\n",
              "      <td>3</td>\n",
              "      <td>16</td>\n",
              "      <td>18</td>\n",
              "      <td>20</td>\n",
              "      <td>22</td>\n",
              "      <td>18</td>\n",
              "      <td>31</td>\n",
              "      <td>6</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>198</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Total</td>\n",
              "      <td>1</td>\n",
              "      <td>17</td>\n",
              "      <td>42</td>\n",
              "      <td>134</td>\n",
              "      <td>534</td>\n",
              "      <td>1120</td>\n",
              "      <td>2703</td>\n",
              "      <td>4348</td>\n",
              "      <td>6008</td>\n",
              "      <td>8650</td>\n",
              "      <td>11517</td>\n",
              "      <td>14237</td>\n",
              "      <td>16413</td>\n",
              "      <td>18028</td>\n",
              "      <td>20811</td>\n",
              "      <td>23670</td>\n",
              "      <td>25954</td>\n",
              "      <td>28838</td>\n",
              "      <td>26514</td>\n",
              "      <td>36483</td>\n",
              "      <td>34942</td>\n",
              "      <td>39398</td>\n",
              "      <td>38185</td>\n",
              "      <td>38355</td>\n",
              "      <td>38230</td>\n",
              "      <td>37643</td>\n",
              "      <td>38712</td>\n",
              "      <td>41225</td>\n",
              "      <td>41192</td>\n",
              "      <td>40775</td>\n",
              "      <td>42772</td>\n",
              "      <td>42480</td>\n",
              "      <td>43368</td>\n",
              "      <td>42135</td>\n",
              "      <td>40995</td>\n",
              "      <td>39425</td>\n",
              "      <td>38535</td>\n",
              "      <td>38040</td>\n",
              "      <td>37308</td>\n",
              "      <td>11880</td>\n",
              "      <td>1011617</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Fx. Etária(SINAN)  1980  1982  1983  ...   2018   2019   2020    Total\n",
              "0            < 1 ano     0     2     0  ...    128    144     36     8220\n",
              "1                1-4     0     0     0  ...    158    136     39    10110\n",
              "2                5-9     0     0     0  ...     79     88     18     5339\n",
              "3              10-14     0     1     0  ...     68     55     11     3558\n",
              "4              15-19     0     0     1  ...    795    772    260    20806\n",
              "5              20-34     1    10    26  ...  15323  15061   4985   440105\n",
              "6              35-49     0     2    12  ...  14035  13723   4330   387647\n",
              "7              50-64     0     2     2  ...   6215   6067   1880   117664\n",
              "8              65-79     0     0     0  ...   1145   1177    302    16903\n",
              "9          80 e mais     0     0     0  ...     94     85     19     1067\n",
              "10          ignorado     0     0     1  ...      0      0      0      198\n",
              "11             Total     1    17    42  ...  38040  37308  11880  1011617\n",
              "\n",
              "[12 rows x 42 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "id": "ebEzVOpw4xfK",
        "outputId": "f60b670d-81d7-431b-a75b-75c93564dbe6"
      },
      "source": [
        "df_raca"
      ],
      "execution_count": null,
      "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>Raça/cor</th>\n",
              "      <th>1980</th>\n",
              "      <th>1982</th>\n",
              "      <th>1983</th>\n",
              "      <th>1984</th>\n",
              "      <th>1985</th>\n",
              "      <th>1986</th>\n",
              "      <th>1987</th>\n",
              "      <th>1988</th>\n",
              "      <th>1989</th>\n",
              "      <th>1990</th>\n",
              "      <th>1991</th>\n",
              "      <th>1992</th>\n",
              "      <th>1993</th>\n",
              "      <th>1994</th>\n",
              "      <th>1995</th>\n",
              "      <th>1996</th>\n",
              "      <th>1997</th>\n",
              "      <th>1998</th>\n",
              "      <th>1999</th>\n",
              "      <th>2000</th>\n",
              "      <th>2001</th>\n",
              "      <th>2002</th>\n",
              "      <th>2003</th>\n",
              "      <th>2004</th>\n",
              "      <th>2005</th>\n",
              "      <th>2006</th>\n",
              "      <th>2007</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "      <th>2012</th>\n",
              "      <th>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2018</th>\n",
              "      <th>2019</th>\n",
              "      <th>2020</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Branca</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>8</td>\n",
              "      <td>18</td>\n",
              "      <td>28</td>\n",
              "      <td>38</td>\n",
              "      <td>40</td>\n",
              "      <td>69</td>\n",
              "      <td>87</td>\n",
              "      <td>118</td>\n",
              "      <td>137</td>\n",
              "      <td>194</td>\n",
              "      <td>290</td>\n",
              "      <td>461</td>\n",
              "      <td>588</td>\n",
              "      <td>860</td>\n",
              "      <td>891</td>\n",
              "      <td>9239</td>\n",
              "      <td>10460</td>\n",
              "      <td>12854</td>\n",
              "      <td>14333</td>\n",
              "      <td>13565</td>\n",
              "      <td>12955</td>\n",
              "      <td>12736</td>\n",
              "      <td>12840</td>\n",
              "      <td>13591</td>\n",
              "      <td>13456</td>\n",
              "      <td>13703</td>\n",
              "      <td>14163</td>\n",
              "      <td>13792</td>\n",
              "      <td>13164</td>\n",
              "      <td>11950</td>\n",
              "      <td>10833</td>\n",
              "      <td>9562</td>\n",
              "      <td>9010</td>\n",
              "      <td>7865</td>\n",
              "      <td>6581</td>\n",
              "      <td>1936</td>\n",
              "      <td>242424</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Preta</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>7</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "      <td>12</td>\n",
              "      <td>18</td>\n",
              "      <td>18</td>\n",
              "      <td>21</td>\n",
              "      <td>26</td>\n",
              "      <td>56</td>\n",
              "      <td>74</td>\n",
              "      <td>132</td>\n",
              "      <td>130</td>\n",
              "      <td>1598</td>\n",
              "      <td>1911</td>\n",
              "      <td>2395</td>\n",
              "      <td>2911</td>\n",
              "      <td>3138</td>\n",
              "      <td>2952</td>\n",
              "      <td>2778</td>\n",
              "      <td>2943</td>\n",
              "      <td>3028</td>\n",
              "      <td>3011</td>\n",
              "      <td>3027</td>\n",
              "      <td>3104</td>\n",
              "      <td>3115</td>\n",
              "      <td>3103</td>\n",
              "      <td>2869</td>\n",
              "      <td>2676</td>\n",
              "      <td>2639</td>\n",
              "      <td>2461</td>\n",
              "      <td>2181</td>\n",
              "      <td>1915</td>\n",
              "      <td>541</td>\n",
              "      <td>54810</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Amarela</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>118</td>\n",
              "      <td>91</td>\n",
              "      <td>121</td>\n",
              "      <td>158</td>\n",
              "      <td>146</td>\n",
              "      <td>182</td>\n",
              "      <td>152</td>\n",
              "      <td>170</td>\n",
              "      <td>128</td>\n",
              "      <td>136</td>\n",
              "      <td>141</td>\n",
              "      <td>151</td>\n",
              "      <td>150</td>\n",
              "      <td>130</td>\n",
              "      <td>118</td>\n",
              "      <td>113</td>\n",
              "      <td>106</td>\n",
              "      <td>104</td>\n",
              "      <td>111</td>\n",
              "      <td>116</td>\n",
              "      <td>34</td>\n",
              "      <td>2696</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Parda</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "      <td>14</td>\n",
              "      <td>9</td>\n",
              "      <td>11</td>\n",
              "      <td>31</td>\n",
              "      <td>24</td>\n",
              "      <td>42</td>\n",
              "      <td>43</td>\n",
              "      <td>64</td>\n",
              "      <td>109</td>\n",
              "      <td>162</td>\n",
              "      <td>259</td>\n",
              "      <td>367</td>\n",
              "      <td>404</td>\n",
              "      <td>4106</td>\n",
              "      <td>4628</td>\n",
              "      <td>5922</td>\n",
              "      <td>6997</td>\n",
              "      <td>7697</td>\n",
              "      <td>8025</td>\n",
              "      <td>7927</td>\n",
              "      <td>8753</td>\n",
              "      <td>9524</td>\n",
              "      <td>10230</td>\n",
              "      <td>10848</td>\n",
              "      <td>11495</td>\n",
              "      <td>12272</td>\n",
              "      <td>13052</td>\n",
              "      <td>12491</td>\n",
              "      <td>11270</td>\n",
              "      <td>10332</td>\n",
              "      <td>10231</td>\n",
              "      <td>9539</td>\n",
              "      <td>8428</td>\n",
              "      <td>2474</td>\n",
              "      <td>187799</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Indígena</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>62</td>\n",
              "      <td>55</td>\n",
              "      <td>38</td>\n",
              "      <td>41</td>\n",
              "      <td>42</td>\n",
              "      <td>45</td>\n",
              "      <td>55</td>\n",
              "      <td>92</td>\n",
              "      <td>68</td>\n",
              "      <td>82</td>\n",
              "      <td>105</td>\n",
              "      <td>93</td>\n",
              "      <td>105</td>\n",
              "      <td>87</td>\n",
              "      <td>74</td>\n",
              "      <td>79</td>\n",
              "      <td>83</td>\n",
              "      <td>75</td>\n",
              "      <td>73</td>\n",
              "      <td>60</td>\n",
              "      <td>24</td>\n",
              "      <td>1445</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Ignorado</td>\n",
              "      <td>1</td>\n",
              "      <td>9</td>\n",
              "      <td>39</td>\n",
              "      <td>125</td>\n",
              "      <td>519</td>\n",
              "      <td>1096</td>\n",
              "      <td>2656</td>\n",
              "      <td>4293</td>\n",
              "      <td>5952</td>\n",
              "      <td>8543</td>\n",
              "      <td>11394</td>\n",
              "      <td>14058</td>\n",
              "      <td>16212</td>\n",
              "      <td>17748</td>\n",
              "      <td>20385</td>\n",
              "      <td>22988</td>\n",
              "      <td>25032</td>\n",
              "      <td>27472</td>\n",
              "      <td>25082</td>\n",
              "      <td>21360</td>\n",
              "      <td>17797</td>\n",
              "      <td>18068</td>\n",
              "      <td>13745</td>\n",
              "      <td>13767</td>\n",
              "      <td>14071</td>\n",
              "      <td>13995</td>\n",
              "      <td>13914</td>\n",
              "      <td>14886</td>\n",
              "      <td>14277</td>\n",
              "      <td>12951</td>\n",
              "      <td>13766</td>\n",
              "      <td>13046</td>\n",
              "      <td>13832</td>\n",
              "      <td>14633</td>\n",
              "      <td>16024</td>\n",
              "      <td>16703</td>\n",
              "      <td>16654</td>\n",
              "      <td>18271</td>\n",
              "      <td>20208</td>\n",
              "      <td>6871</td>\n",
              "      <td>522443</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Total</td>\n",
              "      <td>1</td>\n",
              "      <td>17</td>\n",
              "      <td>42</td>\n",
              "      <td>134</td>\n",
              "      <td>534</td>\n",
              "      <td>1120</td>\n",
              "      <td>2703</td>\n",
              "      <td>4348</td>\n",
              "      <td>6008</td>\n",
              "      <td>8650</td>\n",
              "      <td>11517</td>\n",
              "      <td>14237</td>\n",
              "      <td>16413</td>\n",
              "      <td>18028</td>\n",
              "      <td>20811</td>\n",
              "      <td>23670</td>\n",
              "      <td>25954</td>\n",
              "      <td>28838</td>\n",
              "      <td>26514</td>\n",
              "      <td>36483</td>\n",
              "      <td>34942</td>\n",
              "      <td>39398</td>\n",
              "      <td>38185</td>\n",
              "      <td>38355</td>\n",
              "      <td>38230</td>\n",
              "      <td>37643</td>\n",
              "      <td>38712</td>\n",
              "      <td>41225</td>\n",
              "      <td>41192</td>\n",
              "      <td>40775</td>\n",
              "      <td>42772</td>\n",
              "      <td>42480</td>\n",
              "      <td>43368</td>\n",
              "      <td>42135</td>\n",
              "      <td>40995</td>\n",
              "      <td>39425</td>\n",
              "      <td>38535</td>\n",
              "      <td>38040</td>\n",
              "      <td>37308</td>\n",
              "      <td>11880</td>\n",
              "      <td>1011617</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Raça/cor  1980  1982  1983  1984  ...   2017   2018   2019   2020    Total\n",
              "0    Branca     0     4     1     4  ...   9010   7865   6581   1936   242424\n",
              "1     Preta     0     1     0     1  ...   2461   2181   1915    541    54810\n",
              "2   Amarela     0     0     0     0  ...    104    111    116     34     2696\n",
              "3     Parda     0     3     1     4  ...  10231   9539   8428   2474   187799\n",
              "4  Indígena     0     0     1     0  ...     75     73     60     24     1445\n",
              "5  Ignorado     1     9    39   125  ...  16654  18271  20208   6871   522443\n",
              "6     Total     1    17    42   134  ...  38535  38040  37308  11880  1011617\n",
              "\n",
              "[7 rows x 42 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
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          "height": 210
        },
        "id": "8-o0kH-O5C0g",
        "outputId": "11b2752a-6936-4a24-f719-83f2603b4bb4"
      },
      "source": [
        "df_sexo"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Sexo</th>\n",
              "      <th>1980</th>\n",
              "      <th>1982</th>\n",
              "      <th>1983</th>\n",
              "      <th>1984</th>\n",
              "      <th>1985</th>\n",
              "      <th>1986</th>\n",
              "      <th>1987</th>\n",
              "      <th>1988</th>\n",
              "      <th>1989</th>\n",
              "      <th>1990</th>\n",
              "      <th>1991</th>\n",
              "      <th>1992</th>\n",
              "      <th>1993</th>\n",
              "      <th>1994</th>\n",
              "      <th>1995</th>\n",
              "      <th>1996</th>\n",
              "      <th>1997</th>\n",
              "      <th>1998</th>\n",
              "      <th>1999</th>\n",
              "      <th>2000</th>\n",
              "      <th>2001</th>\n",
              "      <th>2002</th>\n",
              "      <th>2003</th>\n",
              "      <th>2004</th>\n",
              "      <th>2005</th>\n",
              "      <th>2006</th>\n",
              "      <th>2007</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "      <th>2012</th>\n",
              "      <th>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2018</th>\n",
              "      <th>2019</th>\n",
              "      <th>2020</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Masculino</td>\n",
              "      <td>1</td>\n",
              "      <td>16</td>\n",
              "      <td>41</td>\n",
              "      <td>124</td>\n",
              "      <td>510</td>\n",
              "      <td>1050</td>\n",
              "      <td>2425</td>\n",
              "      <td>3753</td>\n",
              "      <td>5147</td>\n",
              "      <td>7296</td>\n",
              "      <td>9506</td>\n",
              "      <td>11376</td>\n",
              "      <td>12785</td>\n",
              "      <td>13762</td>\n",
              "      <td>15296</td>\n",
              "      <td>16710</td>\n",
              "      <td>17516</td>\n",
              "      <td>19041</td>\n",
              "      <td>17144</td>\n",
              "      <td>23663</td>\n",
              "      <td>22005</td>\n",
              "      <td>23859</td>\n",
              "      <td>23064</td>\n",
              "      <td>23029</td>\n",
              "      <td>22610</td>\n",
              "      <td>22310</td>\n",
              "      <td>23221</td>\n",
              "      <td>24705</td>\n",
              "      <td>24982</td>\n",
              "      <td>25302</td>\n",
              "      <td>26845</td>\n",
              "      <td>26965</td>\n",
              "      <td>28106</td>\n",
              "      <td>27806</td>\n",
              "      <td>27768</td>\n",
              "      <td>26979</td>\n",
              "      <td>26809</td>\n",
              "      <td>26619</td>\n",
              "      <td>26141</td>\n",
              "      <td>8434</td>\n",
              "      <td>664721</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Feminino</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>10</td>\n",
              "      <td>24</td>\n",
              "      <td>70</td>\n",
              "      <td>278</td>\n",
              "      <td>595</td>\n",
              "      <td>861</td>\n",
              "      <td>1354</td>\n",
              "      <td>2010</td>\n",
              "      <td>2861</td>\n",
              "      <td>3628</td>\n",
              "      <td>4266</td>\n",
              "      <td>5515</td>\n",
              "      <td>6958</td>\n",
              "      <td>8437</td>\n",
              "      <td>9797</td>\n",
              "      <td>9369</td>\n",
              "      <td>12818</td>\n",
              "      <td>12936</td>\n",
              "      <td>15536</td>\n",
              "      <td>15115</td>\n",
              "      <td>15318</td>\n",
              "      <td>15616</td>\n",
              "      <td>15332</td>\n",
              "      <td>15487</td>\n",
              "      <td>16509</td>\n",
              "      <td>16205</td>\n",
              "      <td>15470</td>\n",
              "      <td>15924</td>\n",
              "      <td>15513</td>\n",
              "      <td>15256</td>\n",
              "      <td>14325</td>\n",
              "      <td>13219</td>\n",
              "      <td>12438</td>\n",
              "      <td>11717</td>\n",
              "      <td>11419</td>\n",
              "      <td>11161</td>\n",
              "      <td>3442</td>\n",
              "      <td>346791</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Em Branco</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>8</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>11</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>4</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>9</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>4</td>\n",
              "      <td>105</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Total</td>\n",
              "      <td>1</td>\n",
              "      <td>17</td>\n",
              "      <td>42</td>\n",
              "      <td>134</td>\n",
              "      <td>534</td>\n",
              "      <td>1120</td>\n",
              "      <td>2703</td>\n",
              "      <td>4348</td>\n",
              "      <td>6008</td>\n",
              "      <td>8650</td>\n",
              "      <td>11517</td>\n",
              "      <td>14237</td>\n",
              "      <td>16413</td>\n",
              "      <td>18028</td>\n",
              "      <td>20811</td>\n",
              "      <td>23670</td>\n",
              "      <td>25954</td>\n",
              "      <td>28838</td>\n",
              "      <td>26514</td>\n",
              "      <td>36483</td>\n",
              "      <td>34942</td>\n",
              "      <td>39398</td>\n",
              "      <td>38185</td>\n",
              "      <td>38355</td>\n",
              "      <td>38230</td>\n",
              "      <td>37643</td>\n",
              "      <td>38712</td>\n",
              "      <td>41225</td>\n",
              "      <td>41192</td>\n",
              "      <td>40775</td>\n",
              "      <td>42772</td>\n",
              "      <td>42480</td>\n",
              "      <td>43368</td>\n",
              "      <td>42135</td>\n",
              "      <td>40995</td>\n",
              "      <td>39425</td>\n",
              "      <td>38535</td>\n",
              "      <td>38040</td>\n",
              "      <td>37308</td>\n",
              "      <td>11880</td>\n",
              "      <td>1011617</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        Sexo  1980  1982  1983  1984  ...   2017   2018   2019   2020    Total\n",
              "0  Masculino     1    16    41   124  ...  26809  26619  26141   8434   664721\n",
              "1   Feminino     0     1     1    10  ...  11717  11419  11161   3442   346791\n",
              "2  Em Branco     0     0     0     0  ...      9      2      6      4      105\n",
              "3      Total     1    17    42   134  ...  38535  38040  37308  11880  1011617\n",
              "\n",
              "[4 rows x 42 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "id": "4JJRCiV75Fg6",
        "outputId": "2f8f5dc8-d691-4d5c-bdb8-4dad149771c3"
      },
      "source": [
        "df_sex_evo"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Categ Exp Hierar</th>\n",
              "      <th>1980</th>\n",
              "      <th>1982</th>\n",
              "      <th>1983</th>\n",
              "      <th>1984</th>\n",
              "      <th>1985</th>\n",
              "      <th>1986</th>\n",
              "      <th>1987</th>\n",
              "      <th>1988</th>\n",
              "      <th>1989</th>\n",
              "      <th>1990</th>\n",
              "      <th>1991</th>\n",
              "      <th>1992</th>\n",
              "      <th>1993</th>\n",
              "      <th>1994</th>\n",
              "      <th>1995</th>\n",
              "      <th>1996</th>\n",
              "      <th>1997</th>\n",
              "      <th>1998</th>\n",
              "      <th>1999</th>\n",
              "      <th>2000</th>\n",
              "      <th>2001</th>\n",
              "      <th>2002</th>\n",
              "      <th>2003</th>\n",
              "      <th>2004</th>\n",
              "      <th>2005</th>\n",
              "      <th>2006</th>\n",
              "      <th>2007</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "      <th>2012</th>\n",
              "      <th>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2018</th>\n",
              "      <th>2019</th>\n",
              "      <th>2020</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Homossexual</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>18</td>\n",
              "      <td>62</td>\n",
              "      <td>254</td>\n",
              "      <td>523</td>\n",
              "      <td>1016</td>\n",
              "      <td>1384</td>\n",
              "      <td>1730</td>\n",
              "      <td>2094</td>\n",
              "      <td>2507</td>\n",
              "      <td>2844</td>\n",
              "      <td>2795</td>\n",
              "      <td>2948</td>\n",
              "      <td>2919</td>\n",
              "      <td>3224</td>\n",
              "      <td>3354</td>\n",
              "      <td>3539</td>\n",
              "      <td>3056</td>\n",
              "      <td>3040</td>\n",
              "      <td>2925</td>\n",
              "      <td>3121</td>\n",
              "      <td>3078</td>\n",
              "      <td>2989</td>\n",
              "      <td>2987</td>\n",
              "      <td>3059</td>\n",
              "      <td>3447</td>\n",
              "      <td>3869</td>\n",
              "      <td>4272</td>\n",
              "      <td>4758</td>\n",
              "      <td>5312</td>\n",
              "      <td>5846</td>\n",
              "      <td>6149</td>\n",
              "      <td>5971</td>\n",
              "      <td>5786</td>\n",
              "      <td>5482</td>\n",
              "      <td>5534</td>\n",
              "      <td>5093</td>\n",
              "      <td>4305</td>\n",
              "      <td>1242</td>\n",
              "      <td>122538</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Bissexual</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>27</td>\n",
              "      <td>126</td>\n",
              "      <td>209</td>\n",
              "      <td>461</td>\n",
              "      <td>611</td>\n",
              "      <td>762</td>\n",
              "      <td>1068</td>\n",
              "      <td>1370</td>\n",
              "      <td>1670</td>\n",
              "      <td>1718</td>\n",
              "      <td>1862</td>\n",
              "      <td>1909</td>\n",
              "      <td>2002</td>\n",
              "      <td>2232</td>\n",
              "      <td>2195</td>\n",
              "      <td>1917</td>\n",
              "      <td>1801</td>\n",
              "      <td>1678</td>\n",
              "      <td>1738</td>\n",
              "      <td>1632</td>\n",
              "      <td>1728</td>\n",
              "      <td>1577</td>\n",
              "      <td>1453</td>\n",
              "      <td>1429</td>\n",
              "      <td>1456</td>\n",
              "      <td>1471</td>\n",
              "      <td>1543</td>\n",
              "      <td>1665</td>\n",
              "      <td>1608</td>\n",
              "      <td>1666</td>\n",
              "      <td>1516</td>\n",
              "      <td>1384</td>\n",
              "      <td>1270</td>\n",
              "      <td>1335</td>\n",
              "      <td>1178</td>\n",
              "      <td>1013</td>\n",
              "      <td>332</td>\n",
              "      <td>50625</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Heterossexual</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>7</td>\n",
              "      <td>13</td>\n",
              "      <td>35</td>\n",
              "      <td>121</td>\n",
              "      <td>319</td>\n",
              "      <td>643</td>\n",
              "      <td>1017</td>\n",
              "      <td>1439</td>\n",
              "      <td>2313</td>\n",
              "      <td>3401</td>\n",
              "      <td>4666</td>\n",
              "      <td>5632</td>\n",
              "      <td>7324</td>\n",
              "      <td>9199</td>\n",
              "      <td>11584</td>\n",
              "      <td>14019</td>\n",
              "      <td>13649</td>\n",
              "      <td>15051</td>\n",
              "      <td>15563</td>\n",
              "      <td>16691</td>\n",
              "      <td>17126</td>\n",
              "      <td>16874</td>\n",
              "      <td>16432</td>\n",
              "      <td>15682</td>\n",
              "      <td>15764</td>\n",
              "      <td>16847</td>\n",
              "      <td>16965</td>\n",
              "      <td>17388</td>\n",
              "      <td>17887</td>\n",
              "      <td>17799</td>\n",
              "      <td>17704</td>\n",
              "      <td>15797</td>\n",
              "      <td>13956</td>\n",
              "      <td>12486</td>\n",
              "      <td>11920</td>\n",
              "      <td>10676</td>\n",
              "      <td>9290</td>\n",
              "      <td>2654</td>\n",
              "      <td>385936</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>UDI</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>13</td>\n",
              "      <td>44</td>\n",
              "      <td>114</td>\n",
              "      <td>489</td>\n",
              "      <td>978</td>\n",
              "      <td>1575</td>\n",
              "      <td>2618</td>\n",
              "      <td>3626</td>\n",
              "      <td>4204</td>\n",
              "      <td>4582</td>\n",
              "      <td>4385</td>\n",
              "      <td>4492</td>\n",
              "      <td>4651</td>\n",
              "      <td>4566</td>\n",
              "      <td>4488</td>\n",
              "      <td>3644</td>\n",
              "      <td>3419</td>\n",
              "      <td>2963</td>\n",
              "      <td>2759</td>\n",
              "      <td>2532</td>\n",
              "      <td>2122</td>\n",
              "      <td>1743</td>\n",
              "      <td>1597</td>\n",
              "      <td>1453</td>\n",
              "      <td>1336</td>\n",
              "      <td>1295</td>\n",
              "      <td>1162</td>\n",
              "      <td>1143</td>\n",
              "      <td>983</td>\n",
              "      <td>902</td>\n",
              "      <td>754</td>\n",
              "      <td>678</td>\n",
              "      <td>551</td>\n",
              "      <td>451</td>\n",
              "      <td>442</td>\n",
              "      <td>363</td>\n",
              "      <td>98</td>\n",
              "      <td>73220</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hemofílico</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>8</td>\n",
              "      <td>23</td>\n",
              "      <td>45</td>\n",
              "      <td>82</td>\n",
              "      <td>107</td>\n",
              "      <td>99</td>\n",
              "      <td>116</td>\n",
              "      <td>104</td>\n",
              "      <td>76</td>\n",
              "      <td>73</td>\n",
              "      <td>68</td>\n",
              "      <td>68</td>\n",
              "      <td>82</td>\n",
              "      <td>79</td>\n",
              "      <td>44</td>\n",
              "      <td>26</td>\n",
              "      <td>21</td>\n",
              "      <td>26</td>\n",
              "      <td>17</td>\n",
              "      <td>15</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>15</td>\n",
              "      <td>10</td>\n",
              "      <td>13</td>\n",
              "      <td>6</td>\n",
              "      <td>8</td>\n",
              "      <td>6</td>\n",
              "      <td>7</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>9</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>7</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>1305</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Transfusão</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>21</td>\n",
              "      <td>72</td>\n",
              "      <td>115</td>\n",
              "      <td>113</td>\n",
              "      <td>155</td>\n",
              "      <td>198</td>\n",
              "      <td>225</td>\n",
              "      <td>248</td>\n",
              "      <td>220</td>\n",
              "      <td>277</td>\n",
              "      <td>269</td>\n",
              "      <td>156</td>\n",
              "      <td>31</td>\n",
              "      <td>14</td>\n",
              "      <td>16</td>\n",
              "      <td>22</td>\n",
              "      <td>13</td>\n",
              "      <td>17</td>\n",
              "      <td>43</td>\n",
              "      <td>28</td>\n",
              "      <td>26</td>\n",
              "      <td>16</td>\n",
              "      <td>9</td>\n",
              "      <td>11</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>2374</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Acid. Material Biológico</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>23</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Transmissão Vertical</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>33</td>\n",
              "      <td>73</td>\n",
              "      <td>109</td>\n",
              "      <td>155</td>\n",
              "      <td>232</td>\n",
              "      <td>306</td>\n",
              "      <td>353</td>\n",
              "      <td>519</td>\n",
              "      <td>646</td>\n",
              "      <td>850</td>\n",
              "      <td>956</td>\n",
              "      <td>962</td>\n",
              "      <td>924</td>\n",
              "      <td>864</td>\n",
              "      <td>887</td>\n",
              "      <td>844</td>\n",
              "      <td>852</td>\n",
              "      <td>695</td>\n",
              "      <td>696</td>\n",
              "      <td>592</td>\n",
              "      <td>602</td>\n",
              "      <td>651</td>\n",
              "      <td>588</td>\n",
              "      <td>595</td>\n",
              "      <td>563</td>\n",
              "      <td>585</td>\n",
              "      <td>530</td>\n",
              "      <td>497</td>\n",
              "      <td>424</td>\n",
              "      <td>410</td>\n",
              "      <td>366</td>\n",
              "      <td>297</td>\n",
              "      <td>250</td>\n",
              "      <td>66</td>\n",
              "      <td>17976</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Ignorado</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>11</td>\n",
              "      <td>44</td>\n",
              "      <td>85</td>\n",
              "      <td>231</td>\n",
              "      <td>437</td>\n",
              "      <td>603</td>\n",
              "      <td>1005</td>\n",
              "      <td>1167</td>\n",
              "      <td>1511</td>\n",
              "      <td>1978</td>\n",
              "      <td>2394</td>\n",
              "      <td>3176</td>\n",
              "      <td>3392</td>\n",
              "      <td>3027</td>\n",
              "      <td>3560</td>\n",
              "      <td>3284</td>\n",
              "      <td>12271</td>\n",
              "      <td>10876</td>\n",
              "      <td>14215</td>\n",
              "      <td>12933</td>\n",
              "      <td>13891</td>\n",
              "      <td>14755</td>\n",
              "      <td>15217</td>\n",
              "      <td>15991</td>\n",
              "      <td>17044</td>\n",
              "      <td>16582</td>\n",
              "      <td>15312</td>\n",
              "      <td>16183</td>\n",
              "      <td>15642</td>\n",
              "      <td>16405</td>\n",
              "      <td>17591</td>\n",
              "      <td>18752</td>\n",
              "      <td>19221</td>\n",
              "      <td>18922</td>\n",
              "      <td>20339</td>\n",
              "      <td>22081</td>\n",
              "      <td>7485</td>\n",
              "      <td>357620</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Total</td>\n",
              "      <td>1</td>\n",
              "      <td>17</td>\n",
              "      <td>42</td>\n",
              "      <td>134</td>\n",
              "      <td>534</td>\n",
              "      <td>1120</td>\n",
              "      <td>2703</td>\n",
              "      <td>4348</td>\n",
              "      <td>6008</td>\n",
              "      <td>8650</td>\n",
              "      <td>11517</td>\n",
              "      <td>14237</td>\n",
              "      <td>16413</td>\n",
              "      <td>18028</td>\n",
              "      <td>20811</td>\n",
              "      <td>23670</td>\n",
              "      <td>25954</td>\n",
              "      <td>28838</td>\n",
              "      <td>26514</td>\n",
              "      <td>36483</td>\n",
              "      <td>34942</td>\n",
              "      <td>39398</td>\n",
              "      <td>38185</td>\n",
              "      <td>38355</td>\n",
              "      <td>38230</td>\n",
              "      <td>37643</td>\n",
              "      <td>38712</td>\n",
              "      <td>41225</td>\n",
              "      <td>41192</td>\n",
              "      <td>40775</td>\n",
              "      <td>42772</td>\n",
              "      <td>42480</td>\n",
              "      <td>43368</td>\n",
              "      <td>42135</td>\n",
              "      <td>40995</td>\n",
              "      <td>39425</td>\n",
              "      <td>38535</td>\n",
              "      <td>38040</td>\n",
              "      <td>37308</td>\n",
              "      <td>11880</td>\n",
              "      <td>1011617</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           Categ Exp Hierar  1980  1982  1983  ...   2018   2019   2020    Total\n",
              "0               Homossexual     0     6    18  ...   5093   4305   1242   122538\n",
              "1                 Bissexual     1     3     9  ...   1178   1013    332    50625\n",
              "2             Heterossexual     0     3     7  ...  10676   9290   2654   385936\n",
              "3                       UDI     0     3     2  ...    442    363     98    73220\n",
              "4                Hemofílico     0     0     1  ...      7      2      3     1305\n",
              "5                Transfusão     0     0     0  ...      6      3      0     2374\n",
              "6  Acid. Material Biológico     0     0     0  ...      2      1      0       23\n",
              "7      Transmissão Vertical     0     0     0  ...    297    250     66    17976\n",
              "8                  Ignorado     0     2     5  ...  20339  22081   7485   357620\n",
              "9                     Total     1    17    42  ...  38040  37308  11880  1011617\n",
              "\n",
              "[10 rows x 42 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 948
        },
        "id": "7fd1TCES5GzA",
        "outputId": "3d4cada0-acb4-4a57-ccc1-48d9e451e54c"
      },
      "source": [
        "df_sexualidade"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>UF Notificação</th>\n",
              "      <th>Homossexual</th>\n",
              "      <th>Bissexual</th>\n",
              "      <th>Heterossexual</th>\n",
              "      <th>UDI</th>\n",
              "      <th>Hemofílico</th>\n",
              "      <th>Transfusão</th>\n",
              "      <th>Acid. Material Biológico</th>\n",
              "      <th>Transmissão Vertical</th>\n",
              "      <th>Ignorado</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ignorado/Em Branco</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>19228</td>\n",
              "      <td>19228</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Rondônia</td>\n",
              "      <td>51</td>\n",
              "      <td>20</td>\n",
              "      <td>114</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>6</td>\n",
              "      <td>201</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Acre</td>\n",
              "      <td>19</td>\n",
              "      <td>6</td>\n",
              "      <td>25</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Amazonas</td>\n",
              "      <td>169</td>\n",
              "      <td>59</td>\n",
              "      <td>410</td>\n",
              "      <td>19</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>18</td>\n",
              "      <td>54</td>\n",
              "      <td>729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Roraima</td>\n",
              "      <td>41</td>\n",
              "      <td>13</td>\n",
              "      <td>121</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>16</td>\n",
              "      <td>197</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Pará</td>\n",
              "      <td>142</td>\n",
              "      <td>43</td>\n",
              "      <td>393</td>\n",
              "      <td>17</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>19</td>\n",
              "      <td>65</td>\n",
              "      <td>679</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Amapá</td>\n",
              "      <td>20</td>\n",
              "      <td>6</td>\n",
              "      <td>52</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>14</td>\n",
              "      <td>95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Tocantins</td>\n",
              "      <td>22</td>\n",
              "      <td>2</td>\n",
              "      <td>35</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>8</td>\n",
              "      <td>70</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Maranhão</td>\n",
              "      <td>62</td>\n",
              "      <td>15</td>\n",
              "      <td>323</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>17</td>\n",
              "      <td>25</td>\n",
              "      <td>446</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Piauí</td>\n",
              "      <td>52</td>\n",
              "      <td>29</td>\n",
              "      <td>121</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>31</td>\n",
              "      <td>243</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Ceará</td>\n",
              "      <td>162</td>\n",
              "      <td>23</td>\n",
              "      <td>316</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>362</td>\n",
              "      <td>876</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Rio Grande do Norte</td>\n",
              "      <td>79</td>\n",
              "      <td>32</td>\n",
              "      <td>152</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>59</td>\n",
              "      <td>329</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Paraíba</td>\n",
              "      <td>69</td>\n",
              "      <td>6</td>\n",
              "      <td>175</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>10</td>\n",
              "      <td>125</td>\n",
              "      <td>392</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Pernambuco</td>\n",
              "      <td>176</td>\n",
              "      <td>54</td>\n",
              "      <td>413</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>14</td>\n",
              "      <td>147</td>\n",
              "      <td>811</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Alagoas</td>\n",
              "      <td>58</td>\n",
              "      <td>16</td>\n",
              "      <td>145</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>101</td>\n",
              "      <td>326</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Sergipe</td>\n",
              "      <td>57</td>\n",
              "      <td>23</td>\n",
              "      <td>163</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>16</td>\n",
              "      <td>266</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Bahia</td>\n",
              "      <td>118</td>\n",
              "      <td>27</td>\n",
              "      <td>285</td>\n",
              "      <td>13</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>14</td>\n",
              "      <td>88</td>\n",
              "      <td>545</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Minas Gerais</td>\n",
              "      <td>278</td>\n",
              "      <td>50</td>\n",
              "      <td>455</td>\n",
              "      <td>36</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>9</td>\n",
              "      <td>221</td>\n",
              "      <td>1049</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Espírito Santo</td>\n",
              "      <td>75</td>\n",
              "      <td>8</td>\n",
              "      <td>169</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>35</td>\n",
              "      <td>295</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Rio de Janeiro</td>\n",
              "      <td>256</td>\n",
              "      <td>64</td>\n",
              "      <td>471</td>\n",
              "      <td>19</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>34</td>\n",
              "      <td>358</td>\n",
              "      <td>1203</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>São Paulo</td>\n",
              "      <td>1248</td>\n",
              "      <td>255</td>\n",
              "      <td>1715</td>\n",
              "      <td>74</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>26</td>\n",
              "      <td>423</td>\n",
              "      <td>3741</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Paraná</td>\n",
              "      <td>277</td>\n",
              "      <td>65</td>\n",
              "      <td>514</td>\n",
              "      <td>17</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>86</td>\n",
              "      <td>965</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>Santa Catarina</td>\n",
              "      <td>235</td>\n",
              "      <td>56</td>\n",
              "      <td>747</td>\n",
              "      <td>25</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>13</td>\n",
              "      <td>33</td>\n",
              "      <td>1109</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Rio Grande do Sul</td>\n",
              "      <td>224</td>\n",
              "      <td>71</td>\n",
              "      <td>1173</td>\n",
              "      <td>55</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>15</td>\n",
              "      <td>370</td>\n",
              "      <td>1908</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>Mato Grosso do Sul</td>\n",
              "      <td>55</td>\n",
              "      <td>10</td>\n",
              "      <td>215</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>27</td>\n",
              "      <td>314</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>Mato Grosso</td>\n",
              "      <td>76</td>\n",
              "      <td>16</td>\n",
              "      <td>230</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>19</td>\n",
              "      <td>360</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>Goiás</td>\n",
              "      <td>145</td>\n",
              "      <td>16</td>\n",
              "      <td>250</td>\n",
              "      <td>16</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>119</td>\n",
              "      <td>549</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>Distrito Federal</td>\n",
              "      <td>139</td>\n",
              "      <td>28</td>\n",
              "      <td>108</td>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>45</td>\n",
              "      <td>332</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>Total</td>\n",
              "      <td>4305</td>\n",
              "      <td>1013</td>\n",
              "      <td>9290</td>\n",
              "      <td>363</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>250</td>\n",
              "      <td>22081</td>\n",
              "      <td>37308</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         UF Notificação  Homossexual  ...  Ignorado  Total\n",
              "0    Ignorado/Em Branco            0  ...     19228  19228\n",
              "1              Rondônia           51  ...         6    201\n",
              "2                  Acre           19  ...         0     50\n",
              "3              Amazonas          169  ...        54    729\n",
              "4               Roraima           41  ...        16    197\n",
              "5                  Pará          142  ...        65    679\n",
              "6                 Amapá           20  ...        14     95\n",
              "7             Tocantins           22  ...         8     70\n",
              "8              Maranhão           62  ...        25    446\n",
              "9                 Piauí           52  ...        31    243\n",
              "10                Ceará          162  ...       362    876\n",
              "11  Rio Grande do Norte           79  ...        59    329\n",
              "12              Paraíba           69  ...       125    392\n",
              "13           Pernambuco          176  ...       147    811\n",
              "14              Alagoas           58  ...       101    326\n",
              "15              Sergipe           57  ...        16    266\n",
              "16                Bahia          118  ...        88    545\n",
              "17         Minas Gerais          278  ...       221   1049\n",
              "18       Espírito Santo           75  ...        35    295\n",
              "19       Rio de Janeiro          256  ...       358   1203\n",
              "20            São Paulo         1248  ...       423   3741\n",
              "21               Paraná          277  ...        86    965\n",
              "22       Santa Catarina          235  ...        33   1109\n",
              "23    Rio Grande do Sul          224  ...       370   1908\n",
              "24   Mato Grosso do Sul           55  ...        27    314\n",
              "25          Mato Grosso           76  ...        19    360\n",
              "26                Goiás          145  ...       119    549\n",
              "27     Distrito Federal          139  ...        45    332\n",
              "28                Total         4305  ...     22081  37308\n",
              "\n",
              "[29 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        },
        "id": "1Es7LoLE5P5H",
        "outputId": "f7cca38e-c6bb-4328-a5fe-f01bede6f7f7"
      },
      "source": [
        "df_obitos"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Forma organização</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "      <th>2012</th>\n",
              "      <th>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2018</th>\n",
              "      <th>2019</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>030318 Tratamento HIV/Aids</td>\n",
              "      <td>4391</td>\n",
              "      <td>4902</td>\n",
              "      <td>4862</td>\n",
              "      <td>4411</td>\n",
              "      <td>4185</td>\n",
              "      <td>4303</td>\n",
              "      <td>4123</td>\n",
              "      <td>4131</td>\n",
              "      <td>3937</td>\n",
              "      <td>3492</td>\n",
              "      <td>3196</td>\n",
              "      <td>3058</td>\n",
              "      <td>48991</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Forma organização  2008  2009  2010  ...  2017  2018  2019  Total\n",
              "0  030318 Tratamento HIV/Aids  4391  4902  4862  ...  3492  3196  3058  48991\n",
              "\n",
              "[1 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 151
        },
        "id": "zLX4XNy-5Tcd",
        "outputId": "1e2db074-b634-45ce-a31a-c155dc5ce74d"
      },
      "source": [
        "df_gastos"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Forma organização</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "      <th>2012</th>\n",
              "      <th>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2018</th>\n",
              "      <th>2019</th>\n",
              "      <th>Total</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>030318 Tratamento HIV/Aids</td>\n",
              "      <td>26726579.17</td>\n",
              "      <td>36039338.86</td>\n",
              "      <td>36710715.56</td>\n",
              "      <td>35262692.81</td>\n",
              "      <td>37223093.48</td>\n",
              "      <td>40041730.57</td>\n",
              "      <td>41020743.62</td>\n",
              "      <td>43036555.48</td>\n",
              "      <td>41889466.25</td>\n",
              "      <td>40896929.9</td>\n",
              "      <td>39745015.66</td>\n",
              "      <td>40481022.68</td>\n",
              "      <td>4.590739e+08</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Forma organização         2008  ...         2019         Total\n",
              "0  030318 Tratamento HIV/Aids  26726579.17  ...  40481022.68  4.590739e+08\n",
              "\n",
              "[1 rows x 14 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-8sBh_JAfts2"
      },
      "source": [
        "***\n",
        "#LIMPANDO AS BASES\n",
        "***"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5Hgbrl5-8Wf3"
      },
      "source": [
        "Agora que já analisamos as bases, vamos fazer a limpeza retirando as linhas e colunas que não fazem sentidos para nossa análise. \n",
        "Iremos utilizar o `.drop` da biblioteca pandas e utilizaremos os parâmetros `index ` e `columns` para indicar quais queremos dropar, como também o `inplace = True`  para salvar as alterações  feitas. \n",
        "\n",
        "Vamos excluir todos os totais, colunas e linhas que não fazem parte dessa análise."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "o8ADRN385IZA"
      },
      "source": [
        "df_escolaridade.drop(index=[10, 9, 7,5, 2], columns=['Total','2020'], inplace= True)                        \n",
        "df_etária.drop(index=[0,1,2,3,9,10, 11], columns=['Total','2020'], inplace= True)\n",
        "df_raca.drop(index=[5, 6], columns=['Total','2020'], inplace= True)\n",
        "df_sexo.drop(index=[2, 3], columns=['Total','2020'], inplace= True)\n",
        "df_sex_evo.drop(index=[3,4,5,6,7,8,9], columns=['Total','2020'], inplace= True)\n",
        "df_sexualidade.drop(index=[28,0], columns=['Total','Ignorado', 'UDI',\t'Hemofílico',\t'Transfusão',\n",
        "                                         'Acid. Material Biológico',\t'Transmissão Vertical'], inplace= True)\n",
        "df_obitos.drop( columns=['Total'], inplace= True)\n",
        "df_gastos.drop( columns=['Total'], inplace= True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j3kn4NnufyFW"
      },
      "source": [
        "***\n",
        "#LEVANTAMENTO DE HIPÓTESES\n",
        "***"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "z2Iv16EQ8Ddm"
      },
      "source": [
        "Para criação da análise vamos eloborar hipóteses:\n",
        "\n",
        "\n",
        "\n",
        "1.   Em 2019 teve mais casos de HIV em homossexuais do que em heterossexuais.\n",
        "2.   Na década de 90 os Homossexuais foram os que mais  adquiriram HIV/AIDS.\n",
        "3.   A maioria dos casos de HIV/AIDS são em pessoas pardas.\n",
        "4.   Os novos casos de HIV/AIDS ocorrem mais em pessoas com 1° a 4 ° série incompletas.\n",
        "5.   Pessoas do sexo masculino adquirem mais HIV que pessoas do sexo feminino.\n",
        "6.   Jovens de 20-34 anos são os que mais são contaminados pelos vírus do HIV.\n",
        "7.   Menos Pessoas morrem de AIDS comparando com a quantidade de óbitos em 2008.\n",
        "8.   Os gastos com o Tratamento de HIV/AIDS diminuiram 20% desde 2008.\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_KvcmDm95hsO"
      },
      "source": [
        "***\n",
        "#CRIAÇÃO DAS VISUALIZAÇÕES\n",
        "***"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KIRSV--FCg1Y"
      },
      "source": [
        "##HIPOTESE 1: Em 2019 teve mais casos de HIV em homossexuais do que em heterossexuais."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Qdx72gOO9-PA"
      },
      "source": [
        "opção_sex = df_sexualidade[['UF Notificação','Heterossexual', 'Homossexual', 'Bissexual']].sort_values(by = 'Heterossexual', ascending = False)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        },
        "id": "1gfNDZef8QrT",
        "outputId": "ef80babf-4e63-47ba-99b1-396c4c0fa254"
      },
      "source": [
        "colors = ['#070e10','#ad36ed','#809bce']\n",
        "plt.style.use('seaborn')\n",
        "opção_sex.plot(x ='UF Notificação',\n",
        "                    kind=\"bar\", figsize =(15,6), color = colors, alpha =0.8 )\n",
        "plt.title(\"Ano do Positivo : 2019\")\n",
        "plt.suptitle(\"Quantidade de Testes positivos para HIV nos estados por Orientação Sexual\", size=20, weight='bold' )\n",
        "plt.xticks(rotation=80)\n",
        "plt.xlabel(\"Estados\", size = 15)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "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": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gAnmOx-NDDuI",
        "outputId": "8db26629-96e7-48a1-a229-45c83e058151"
      },
      "source": [
        "opção_sex.sum()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "UF Notificação    São PauloRio Grande do SulSanta CatarinaParaná...\n",
              "Heterossexual                                                  9290\n",
              "Homossexual                                                    4305\n",
              "Bissexual                                                      1013\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EKi0YaGaYRci"
      },
      "source": [
        "Conforme o gráfico podemos perceber que apenas no Distrito federal teve mais casos de pessoas homossexuais do que Heterossexuais. Muitas pessoas, infelizmente, associam o HIV/AIDS a pessoas homossexuais e com esse gráfico podemos perceber que tem mais casos em heteros do que em homossexuais. Na maioria dos estados se somar o número de casos em homossexuais e o número de casos em bissexuais, não dá o número de casos em heterossexuais. Mas, vale ressaltar que a população homossexual é menor comparada a população heterossexual, portanto a incidência em casos na população LGBT é maior."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8s5UZtkmClS4"
      },
      "source": [
        "##HIPOTESE 2: Na década de 90 os Homossexuais foram os que mais  adquiriram HIV/AIDS"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yNBy-vetd7_d"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5VeUuCna7_QQ"
      },
      "source": [
        "evo_sex  = df_sex_evo.set_index('Categ Exp Hierar')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OdrTa8j9AZaQ",
        "outputId": "c502ffeb-e768-4309-f29e-75f6cef84a39"
      },
      "source": [
        "evo_sex['2000']"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Categ Exp Hierar\n",
              "Homossexual       3040\n",
              "Bissexual         1801\n",
              "Heterossexual    15051\n",
              "Name: 2000, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "id": "T87EbCzi_cgX",
        "outputId": "4d1ad99b-382a-460b-8ba5-53e80cac66cd"
      },
      "source": [
        "colors2 = ['#ad36ed','#809bce','#070e10']\n",
        "ax = evo_sex.T.plot(alpha=0.8, figsize =(15,6), color = colors2 )\n",
        "ax.grid(color='b', linestyle='-', linewidth=1, alpha = 0.1)\n",
        "plt.title(\"1980 até 2019\")\n",
        "plt.suptitle(\"Evolução dos casos de HIV por Orientação Sexual\", size=20, weight='bold' )\n",
        "ax.legend()\n",
        "plt.show()"
      ],
      "execution_count": null,
      "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": "3JaXZUw2BQC5"
      },
      "source": [
        "tratamento para todos \n",
        "\n",
        "http://www.aids.gov.br/pt-br/centrais-de-conteudos/historia-aids-linha-do-tempo\n",
        "http://www.aids.gov.br/pt-br/noticias/ministerio-da-saude-estende-tratamento-para-todos-com-hiv\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OujHpjTUCOSt"
      },
      "source": [
        "df_sex_evo['desc'] = 1 - (df_sex_evo['2019'] / df_sex_evo['2013'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 142
        },
        "id": "0A8tE2d6Bgm4",
        "outputId": "61ef0da2-4bf4-455c-9d9f-cadb25ad008d"
      },
      "source": [
        "df_sex_evo.iloc[0:, -8:]\n",
        "# Zero = Homossexual\n",
        "# Um = Bissexual\t\n",
        "# Dois =  Heterossexual\t"
      ],
      "execution_count": null,
      "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>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2018</th>\n",
              "      <th>2019</th>\n",
              "      <th>desc</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>6149</td>\n",
              "      <td>5971</td>\n",
              "      <td>5786</td>\n",
              "      <td>5482</td>\n",
              "      <td>5534</td>\n",
              "      <td>5093</td>\n",
              "      <td>4305</td>\n",
              "      <td>0.299886</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1666</td>\n",
              "      <td>1516</td>\n",
              "      <td>1384</td>\n",
              "      <td>1270</td>\n",
              "      <td>1335</td>\n",
              "      <td>1178</td>\n",
              "      <td>1013</td>\n",
              "      <td>0.391957</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>17704</td>\n",
              "      <td>15797</td>\n",
              "      <td>13956</td>\n",
              "      <td>12486</td>\n",
              "      <td>11920</td>\n",
              "      <td>10676</td>\n",
              "      <td>9290</td>\n",
              "      <td>0.475260</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    2013   2014   2015   2016   2017   2018  2019      desc\n",
              "0   6149   5971   5786   5482   5534   5093  4305  0.299886\n",
              "1   1666   1516   1384   1270   1335   1178  1013  0.391957\n",
              "2  17704  15797  13956  12486  11920  10676  9290  0.475260"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f88MIug9Cd5u"
      },
      "source": [
        ""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2fmyKk6aBltT",
        "outputId": "6f03748f-5fd7-42aa-f9b6-541f00117c25"
      },
      "source": [
        "desc_hetero = 1 - (9290/17704)\n",
        "desc_hetero = round(desc_hetero,4)*100\n",
        "print(desc_hetero, \"%\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "47.53 %\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OT_vVJ3wCa2w"
      },
      "source": [
        "##HIPOTESE 3: A maioria dos casos de HIV/AIDS são em pessoas pardas."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Cq3XGqBheuGn"
      },
      "source": [
        "Vamos mudar o índice na nossa coluna, utilizando o .set_index, assim, facilitando  a construção do nosso gráfico."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E3cx1Q0ZDse5"
      },
      "source": [
        "evo_raca  = df_raca.set_index('Raça/cor')\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lxnZ-f_geHhc"
      },
      "source": [
        "Para validar essa hipótese vamos verificar os dados do nosso dataset."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "id": "cuqRHL5_R0JN",
        "outputId": "9100e03b-49d0-4cd6-d100-aebb8e6070c1"
      },
      "source": [
        "colors6 = ['green','#2D1E18','#e5cb2f','#aba5a2','red']\n",
        "ax = evo_raca.T.plot(alpha=0.8, figsize =(15,6), color = colors6)\n",
        "ax.grid(color='b', linestyle='-', linewidth=1, alpha = 0.1)\n",
        "plt.title(\"1980 até 2019\")\n",
        "plt.suptitle(\"Evolução dos casos de HIV por Raça\", size=20, weight='bold' )\n",
        "ax.legend()\n",
        "plt.show()"
      ],
      "execution_count": null,
      "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": "PC2YUxOCeX--"
      },
      "source": [
        "Veja no gráfico acima que possui muitos zeros, podendo prejudicar nossa análise, por isso vamos considerar apenas os dados de 2020 para frente, para isso vamos dropar as colunas que não serão utilizadas."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QmduUJtMRxx0"
      },
      "source": [
        "evo_raca.drop(columns=['1980'\t,'1982',\t'1983',\t'1984',\t'1985',\t'1986',\t'1987',\t'1988',\t\n",
        "               '1989',\t'1990',\t'1991'\t,'1992',\t'1993'\t,'1994'\t,'1995'\t,'1996',\n",
        "               '1997',\t'1998',\t'1999'], inplace=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7_DFkZjwefnr"
      },
      "source": [
        "Vamos plotar novamente e analisar o resultado obtido."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "id": "Vi0kxrr4SQyE",
        "outputId": "0536fa70-80c9-4fc7-d89a-e2fa6b07a7a6"
      },
      "source": [
        "ax = evo_raca.T.plot(alpha=0.8, figsize =(15,6), color = colors6)\n",
        "ax.grid(color='b', linestyle='-', linewidth=1, alpha = 0.1 )\n",
        "plt.title(\"2000 até 2019\")\n",
        "plt.suptitle(\"Evolução dos casos de HIV por Raça\", size=20, weight='bold')\n",
        "ax.legend()\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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LC+O1117DbDaXu9+KfI/ExMQwcuTISv8uE0L8e0hTTCFElbA2x9Tr9ezbt0+pBVCpVEr/Oij9IHj1w1d2drbyurzR4kr+Gn/1vFzWpnollXyALHmcqxUVFfHll18CliaHixcv5tixY5w+fbpUPqwqKz/WB9iyHkjLWvZPjtu8eXNWrlzJ1q1beffddxkxYgS+vr4UFxfz008/3bCv2c2eP6j4OaxI2krmu6x0WB+8S+bby8uLBQsWsGfPHhYuXMi4ceOUGuRDhw7x+uuv3zA/1n5jUDrIg7LLpuQD/5dffsnp06fL/HczQV1lK9mHbseOHYSHhytNVf9JYFcyiAVK1chag6dbuUeu90NDebZt26ac519//VVpebB3795r1l28eLES1M2dO5eIiAhOnz6tDARUUsn74HrBo1VoaKgS1D388MPs3buX6Ohopa+vEEKURwI7IUSV6N69u/IAt2PHDqXfTrt27QgICFDWa9mypfL66kmCS74vuV5ZSj5sWwfpAMsw+JcuXbpm/ZJN6I4fP668zsvLY9iwYQwdOpTZs2eTnp6uPIw1adKE++67Txklr2QzLOuDYGXlx3qO8vPzS+UnMzOzVNO+svZ39XFLPrxa1zObzcTFxXH27Flq1arFqFGjeO+999iyZYvS9PPqJoUlubi4EBQUBFjOcckA588//1Tm+gsNDa3wOaxI2m6U76ioKCXQKLleeno6UVFReHp60r9/f6ZNm0ZYWBj9+vUrN99Aqeu35LUDlsDwatb+jnDtdBvJyclVWoPj7u5Or169AMvAJNa+na1ataJOnToV3l/JZpZXv7dOJVBZ98g/1bhxY2UE1osXL15Tk2z9vvD19WXkyJFK8Fay+bP1Wr3e9whYmmIOHTqU0aNHYzKZlIGLAP7zn//g7e2NSqUqc79CCFEWCeyEEFXCzs6O+++/H4CNGzcqD/BX19AMHTpUac62bNky5UHwzJkzLFiwALD8Sm8dhOF66tWrp7z+5JNPOHr0KMeOHePVV1+9prkcUGretE8//ZTU1FSMRiOffPIJJ0+eJDo6mkaNGuHl5aXUaFy8eJGUlBT0ej3z5s0jISFB2Yf1YbCy8tOlSxfl9QcffEBubi55eXm8+eabZfbDGT16tFKbsXDhQmJiYjCbzRw+fJjvvvsOsDQbtNbCTJs2jd69e/PYY48p/e7A0n/MOmiMj4/PDdM4bNgwwNIv6IMPPiA/P5+cnBzmz59PdHQ00dHRtG7dusLnsCJp6927N35+fgD88ssvhIeHYzabiY+P591331W2tY48uGbNGjp16sTo0aP57bfflH5WWVlZpKSk3FS+S5bNN998w8WLFykuLuarr74qFaha3Xfffco1sXz5cmWdqKgo+vTpw7333ssrr7xyw2PeTkOHDgUsQZg1sPontXUAmzZtYseOHYBlxEnrCKQajYbu3bsrx6uMe+RWTJw4UZnS4vvvvy8VzFtHas3IyODcuXMYDAa+/fZbIiIilHWs1+r999+v1MiuWbNGycuGDRtYv3490dHRBAUFoVarlesU4PDhw5jNZnbv3s2yZcuU+yM2Nva25VkIUf2pzPLzjxDiFpSc+PtGg6eAJWh78803lfc7d+7kmWeeUd7rdDr27NlTqnYNLA9Br7/+uhKwWOfAAksTy6lTpzJu3DhlfWsNSPv27VmxYgVgafLVu3dvpW+alXW+Lutw9yVrTGbPns1PP/2kHEer1Spp6Nq1K0uXLkWj0fD6668r21vzr9Vq+eijj5S+ThqNhieffJLXXnutwvkpS1paGkOGDFFGirTOFebv709AQIDykFkyP2XNY2c9rk6n48MPP2TgwIGA5aH70UcfVc6Xk5MTKpVKqeFydnbmp59+KlXbdLWCggLGjh2rPMzqdDpMJpPSlO/pp59mypQpABU6h8OGDatQ2q6ex87e3r5Uc9yxY8cqA4MUFhYyZswYJbiys7PDwcGB3NxcTCYTKpWKuXPnMmLEiBuWz+OPP14qGLDmvW/fvso0GcuXL1f6pK5du5YZM2YoNTLWwYXAUqarVq0qVRN4tbVr1zJ9+nQAXnjhhXL72L3//vsMHz4csAS/cXFxwLU1hmAZHbRbt25KratOp2Pnzp14eXnd8ByUlbaOHTuyf/9+PDw8StXiPvHEE8o6UDn3fHnGjh2rTFuwbds2atasWerzgwcP8vjjj2M2mwkKCuK3337D2dmZhQsXsnjxYsASYGo0GoqLi1mwYAFTpkyhsLAQlUrFoEGDmD9/PmFhYUyZMkX5kaBkXmrUqMHKlSvx9/dn3759PPHEE8rxrdfpM888Q1RUlJJWf3//UiOvCiGEldTYCSEqTW5uLpmZmdf9d3X/ms6dO5cahKJbt27XBHUAAwcOZNWqVQwcOBBfX1/MZjNeXl707t2b0NDQcoMgsDz8f/fdd7Rv3x4HBwc8PDwYPnw4X3/9dZkDkIAlsHv//fdp3bo1ZrMZo9FIw4YNmTp1Kl9++aUSTM2aNYuHH34YPz8/7OzsaNOmDcuXL6dv374899xzODs74+LiojQTrIz8eHt7s3z5cjp37oyjoyMuLi706tWL5cuXlxols6Qnn3yS0NBQevXqhYeHB2azGV9fXwYPHqykx6p+/fqsWrWKhx56iKCgIEwmEwaDgaCgIIYPH86aNWtuGNSBZXTG5cuX8+KLL9KgQQPUajX29va0adOGTz75RAnqKnoOK5q29u3b88svvzBixAgCAwMxmUy4u7vTpUsXFi1apAR1YHmYXr58ORMmTCAkJAQ7Ozvy8vLw9PSkZ8+efPvtt+UGdQCff/45I0aMwN3dHUdHR5o1a8bXX39Nx44dy1x/+PDhfPfdd3Tt2hV3d3eMRiOBgYE89NBDrF69+oZB3e1mZ2fHgAEDlPddu3a96aDuakOHDuX999/H29sbnU5HUFAQr7766jX9FivjHrlV7du3V2oF4+LilB9Fnn/+ecaPH09QUBB2dnY0btyYJUuW0K9fP6ZOnaqUuTVQHDx4MCtWrFCatFqv1bFjx7JmzRqlBrBTp0589NFHhISE4ODggL+/P9OmTeO1115j0qRJ1KxZE51O94+awAoh/h2kxk4IIcqRnp5O165defrpp5UgQwhxc0rW2JWsKfw3GjJkCH5+frz77rtVGqwLIe5OUmMnhBDlSEhIYPDgwXz77beMHTu2qpMjhKiGcnNzadWqFadOnWLAgAFKn00hhKgsEtgJIUQ5GjduzIwZM6hRo4YyibIQQlSEo6Mjb7zxBh07dkSv15c7DYgQQlSUBHZCCFGOvn370rVrV5ycnPjwww+rOjlCiGpo5syZtG7dmoiICKZPn65M7yCEEJVF+tgJIYQQQgghRDUnNXZCCCGEEEIIUc1JYCeEEEIIIYQQ1ZwEdkIIIYQQQghRzUlgJ4QQQgghhBDVnAR2QgghhBBCCFHNSWAnhBBCCCGEENWcBHZCCCGEEEIIUc1JYCeEEEIIIYQQ1ZwEdkIIIWzOtm3bGDp0KAMGDOCRRx7hzJkzymfLli1jwIAB9OvXjzfeeAODwQCAwWDgjTfeoF+/fgwYMIDly5cr28THxzNu3Dj69evHsGHD2L9/f4XTtGHDBnJzc0stO336NA899BCnTp0qc5vc3Fxee+01+vfvT79+/Vi4cOFNpcloNDJv3jwaNWpEYmKisryoqIh58+bRv39/evXqxddff13hfAghhLg7SWAnhBDCpiQlJTFt2jTmz5/Pxo0bGTx4MLNmzQLg6NGjLF++nP/+979s2rSJnJwcVqxYAVgCvqysLDZu3Mjq1asJDQ3l+PHjALz55pv06NGDzZs389577zF58mQKCgoqlK5PP/30msDu3LlzLFu2jCZNmpS5zccff4xOp2PDhg2sWbOG3377jT179pSbpgkTJuDk5HTN/latWkVUVBS//vor69atY82aNRw+fLhC+RBCCHF3ksBOCCGETdFqtcyfP58GDRoAcO+993Lu3DkANm3axMCBA3Fzc0OlUjFixAg2bdqkfDZ69GjUajUuLi7069dPCf4OHDjA6NGjAWjSpAmBgYEcOHDgmmNfuHCBRx55hAEDBtCnTx/CwsIAmD59OjExMYwdO5bDhw+TnZ3NlClTWLhwIYMHD2bNmjVl5qVPnz689NJLSpoaN27M2bNny03ThAkTeOmll67Z3969exk8eDD29va4uroyfPhwNm/efCunWwghxF1CAjshhBA2xdvbm+7duyvvd+7cScuWLQG4ePEitWvXVj6rVasWFy5cACAmJqbUZ7Vr1+bChQvExsbi6elZqgasdu3axMTEXHPsDz/8kF69erFx40bee+893njjDYxGI++//z4AK1asoG3btsybNw+1Ws2mTZtYvXo1ixYtKtVc1KpTp04EBgYClmaZkZGRtGzZstw0tW7dusxzo1KpMJlMynsnJycuXbp0vVMphBDiX0QCOyGEEDZr3759hIaGMn36dADy8/Oxs7NTPndwcCA/Px+AgoIC7O3tr/ns6uUA9vb26PX6a463ePFinnrqKcBSU1hYWEhKSso1623fvp0nnngCtVqNl5cX/fv35/fff79uPgwGA5MnT6Z37960bt26QmkqqXPnzvz8889kZ2eTkZHBunXrKCwsvOE2Qggh/h20VZ0AIYQQoixbt27lnXfeYcmSJUqzTEdHR2WwFLAEetZaL0dHx1JBjvWzq5eDJQgsqw/brl27+OKLL8jIyEClUmE2m0vVkFnl5OTw0ksvodFoACgsLKR///5l5iMvL48XX3wRf39/5syZU2Zab5SmkkaNGsWlS5cYNWoUfn5+dO7cmfPnz99wGyGEEP8OEtgJIYSwOXv37mXu3Ll8++231K9fX1ler149YmNjlfexsbFK0Gf9LDg4uNRnderUISMjg7y8PJydnZXPRowYUeqYRqORSZMmsWDBAnr06IHBYKBFixZlps/Pz4/PP/+chg0b3jAfRUVFvPDCC4SEhDBjxgxl+c2m6WparZapU6cydepUAD777LNy0yCEEOLfQZpiCiGEsCn5+flMnz6dRYsWlQrqAAYMGMD69etJTU2lqKiI5cuXM2jQIOWz77//nuLiYpKTk1m/fj0DBw7ExcWFLl26KKNn7t+/n5SUFNq3b3/NcfV6Pc2aNQMgNDQUnU6nNI/UarVkZ2cD0Lt3b1auXAn8PQXBiRMnrsnLihUrcHZ2LhXUATedpqutW7eOV155BZPJRFJSEv/73/944IEHyj+pQggh7noqs9lsrupECCGEEFZhYWFMnz6doKCgUsu///57fHx8WL58OT/88ANms5nOnTszc+ZMtFotRqOR2bNnc/DgQTQaDU888QQPP/wwAImJiUydOpX4+HhcXFx48803adOmzTXH/uijj1i3bh3e3t48//zzbNq0iaioKMLCwnjzzTfZvn077777Lt27d2fOnDkcO3YMgG7dujFt2jS02tINYfr161equShA//79mTRp0nXTlJqaymOPPQb8PSCMRqMhNDQUV1dXXn/9dU6ePIlWq2XSpEkMHDiwUs+/EEKI6kkCOyGEEEIIIYSo5qQpphBCCCGEEEJUcxLYCSGEEEIIIUQ1J4GdEEIIIYQQQlRzEtgJIYQQQgghRDUngZ0QQgghhBBCVHPVZoLylJScqk5CmVJSVPj6ysCitkLKw/ZImdgWKQ/bIuVhW6Q8bIuUh22R8rANvr6u1/1MauxuUXFxVadAlCTlYXukTGyLlIdtkfKwLVIetkXKw7ZIedg+CeyEEEIIIYQQopqTwE4IIYQQQgghqjkJ7IQQQgghhBCimpPATgghhBBCCCGqOQnshBBCCCGEEKKak8BOCCGEEEIIIao5CeyEEEIIIYQQopqrNhOUCyGEEEIIIcStSkiI5/HHH6ZRo8aoVCoMBgMTJrxMy5atqjppt0QCOyGEEEIIIcS/Su3adfjss6UAHD0aQWjo13z88WdVnKpbI4GdEEIIIYQQ4l8rPT0dHx9f5s6djVarIzs7kxkz3mLOnJnk5+dTUFDAK69MoWnTZjz00IMMHTqcPXt2YTAYWLhwMXZ29rz77lskJSVgZ2fPzJlzcHJyKnP720kCOyGEEEIIIUSVWBq1mJ2Xd1TqPrvX7IJUqO8AACAASURBVMmzLSfccJ1Ll2J54YVnMRgMpKamMH/+In78cTlubm5MnfoGly7FMnjwg3Tv3pMjRw7xww+hzJ37EcXFxdSuHcyYMY/z1lvTOXz4EFlZmXh7ezN79ly2bt3M7t07uffedmVufztJYCfEdeQX5bMvfg8tfFvh4+hT1ckRQgghhBCVpGRTzNjYi7z55lQaNGhI06b3AODl5U1o6Nf89NMKjEYjDg4OyrYtW7YGwNfXn7y8XE6fjqZt23YA3H9/PwByc3Ovu/3tIoGdEGX4K+cSc/a+SWz2RdQqFR0COzOo3hDaBbRHrZLBZIUQQgghKsOzLSeUW7t2u9WpE4y9vT1qtRqtVgfAqlU/4uPjx5tvvkN09Ek++2yBsr5Go1Fem81mNBo1JpO51D5vtP3tIoGdEFfZ8dcffHz4Q/KL8ulV6z4u5/7Fvvg97Ivfg6+jLwPqDaZ/8CB8nXyrOqlCCCGEEOIWZWdnkZaWRlBQLWVZVlYm9euHABAevp2ioqLrbt+4cVMiIg7Ru/f97Nmzi/Pnz1Zo+8oigZ0QVxiLjSw99gW/nFuDg9aBGR1m0av2fQCcST/Nhpjf+OPSVpb/+R3fn1xG+4CODKz3AO0DOqJRa8rZuxBCCCGEsBXWPnYABoOBV16Zws6dO5TP+/cfxLvvvsX27VsZMWI0W7f+zvr168rc1/339+Pw4YO88MKzaDRaZs6cTWpqSpnbDxo05LblSWU2m83lr1b1UlJyqjoJZUpMVBEQUC1O4b/CPy2PJH0S7+57i+j0U9RxC+bNTnOo4xZ8zXp6o57wy9tZf2Edp9OjAfBx9KF/3UH0rzsIfyf/W83CXUfuEdsi5WFbbK08UvNTOZ4SxYm04/yZehytWksDjxAaeDSkgWcIdd3rYa+xr+pk3ja2Vh7/dlIetkXKwzb4+rpe97ObCuzOnDnDhAkTeOKJJ3jssceU5bt27eLpp5/m9OnTAKxbt47Q0FDUajWjR49m1KhRGI1Gpk2bRnx8PBqNhvfff59atWoRHR3N7NmzAWjUqBFz5sy5YRoksBM345+Ux6HEA8w78C7Zhmzuq30/L9/7Go5ax3K3O595lvUXwth26Xf0Rj0qoG1AewbVG0KHwE5o1VIhDnKP2BopD9tSleVhNpuJy73M8dRjlmAu9RgJeQnK5zq1DjMmikzFyjK1SkVt12DqezYgxKMhDTxCqO/RABe76z9oVCdyf9gWKQ/bIuVhG24U2JX75KnX63nnnXfo1KlTqeWFhYUsXboUX19fZb3PP/+cn3/+GZ1Ox8iRI+nTpw/bt2/Hzc2N+fPns3v3bubPn8+CBQuYO3cuM2bMoEWLFkyePJnw8HB69Ohxi1kV4uaZzCZWnFzGDydD0ai1vNTmVQbXG4JKpbqp7et7hPBSm1d4psV4wv/azsaYMA4lHuRQ4kG8HLzoV3cgA+sOJsA58DbnRAghymcymzifeY7jqVEcTznGidRjZBZmKp+76FzoGNiJZj4taObTgoaejQCIzb7IucyznM08w/mMs5zPOsfF7Bi2xW5Rtg10DqS+Rwghng2p7xFCA48QvB2973gehRDi36zcwM7Ozo6vvvqKr776qtTyJUuWMGbMGD76yDIfQ1RUFM2bN8fV1RJFtmnThoiICPbt28eDDz4IQOfOnZkxYwYGg4G4uDhatGgBQK9evdi3b58EduKOySzI4L0DbxOZHEGAcwAzO86hkVfjf7QvR60j/esOpH/dgVzIOs+GC2Fsi/2dn059z8pT39PGvy2D6g2hU40uUosnhLhjDMUGotNPciL1OMdTo/gz9QT5RfnK5z6OPvSs1ZvmPi1o5tuCYLe6ZY7628AzhAaeIfRnIGAJEONyL3Mu4yznMs9wLvMs5zLOsjtuJ7vjdirbeTp4Wppxeja80pwzhEDnGjf945kQQoiKKfcpU6vVotWWXi0mJobo6GhefvllJbBLTU3Fy8tLWcfLy4uUlJRSy9VqNSqVitTUVNzc3JR1vb29SUlJuWE6UlJUFBffcJUqkZwsf6Bsyc2Ux5msEyw48RbphSm08enMhCYzcDG4kZh468d3ogEjAycxxO95DqTsYGvcOvZfPsz+y4dxt/OkZ+BAegUOJsAp6NYPVk3IPWJbpDxsS2WWR54xhzPZJ4jOPEZ0ZhTnc6IpMv09ClugUy3a+raksXsLGnu0xNch4O8gKx+S86+z42to0FGHJnZ1aOJ3P/hZmnWmF6YQk3uGizlnuJhzlou5Z9n710H2/nVQ2dJR60SwSwh1XRsS7BJCsGsIQc7BaFS2MQCV3B+2RcrDtkh52AbfGwzK/o+qD95//31mzpx5w3Wu13WvrOU3M36Lr6/ttumV9sa25XrlYTabWXt2NV8d/wIzZsa3eZbRjR658gt1ZZehHbWD+jKqVV8uZsWwMWY9W2I3sSH+BzbE/0BrvzYMrPcAXWp0Q6fRVfKxbY/cI7ZFysO2/NPySMtPszSrTD3Gn6nHuJB5XvkmU6tUNPQJoblPS5r5NKeZT3M8HbzK2EvlXQuB+HIPvkAXZVl2YZalGWfGGc5nnuNc5lnO50RxLi9KWUen1lHXvV6pZpz1POpX2SAtcn/YFikP2yLlYdsqHNglJSVx4cIFXnvtNQCSk5N57LHHePHFF0lNTVXWS05OplWrVvj5+ZGSkkLjxo0xGo2YzWZ8fX3JzMwstU8/P79KyI4QZcsz5vF/h+axO24nHvYezOw4m5Z+re/IsYPd6/J8qxd4qvmz7Lq8gw0xYUQmRxCZHIG7vQf9gvszoO5garrWKn9nQoh/JetAJ9ZmlcdTj5GQG698rlPraO7bkmY+LWju04Km3s1w0jlVYYot3OzdaePfljb+bZVleqOemKwLpZpxXsg6z5mM08o6apWKWq51LM1APf7+d7cM0iKEELdDhQM7f39/tm7dqrzv3bs333//PQUFBcycOZPs7Gw0Gg0RERHMmDGD3NxcNm3aRLdu3di+fTsdOnRAp9NRr149Dh8+TNu2bfn9998ZO3ZspWZMCKsLmed4e99bxOVepoVvS2Z0eKtKOvXbaey4r05f7qvTl0vZsWyMCeP3i5tYdXolq06vpKVvawbVe4AuQd2w09jd8fQJIWyHyWziQuZ5JYg7nhJ1zUAnHQI7XgnkWhLi2bDafG846Zy4x6cZ9/g0U5YZi41cyrnI2Yyzllq9zLOczzxHbPbFUoO0BDgHWKZe8AihvmcI93jfg6udW1mHEUKI60pIiOfxxx+mUSPL+AoGg4FHH/0PPXr0Knfbc+fOYmdnR+3adW53Mius3MDuxIkTfPDBB8TFxaHVatm8eTOLFi3Cw8Oj1HoODg5MnjyZp556CpVKxcSJE3F1dWXgwIHs3buXRx55BDs7O+bNmwfAjBkzmDVrFiaTiZYtW9K5c+fbk0Pxr7b54kYWHpmP0WTkoUaPMK7ZMzYxmXhttzo813Ii45o9w564Xay/8BtRKZFEpUTiZudGn+B+DKz7ALXdbO9LQwhR+QzFBk6nn+J4qmW0yj/TTqA36pXPvR296VmrN818mtPcpwXB7vXKHOikutJpdNT3CKG+R4iyzGQ2EZ8bd6UZpyXgO5d5rtQgLWqVipa+relesxddgrpep7mpEEJcq3btOnz22VIAsrOzGDfuUTp27IS9vcMNtwsP/4PGjZvaZGAnE5TfIpnTw7ZYy6OwuJDPIhewKWYDzjpnprZ/g041upS/gyp0OecvNsaEsfniJrKu/DLfwrclA+sOplvNntXm1/iryT1iW6Q8qp7eqCcxL56EvAQOXYwm1hBFdPqpUgOdBLnUpLmvpVllc5+WBDgHymiSWJqkpuanci7zDGczznAwcT+n06MBUAHNfVvSNag7XYN64Ot0gxEGrkPuD9si5WFb7qbySEiIZ+bMqXzzzQpl2bPPPkHt2nXQ6ezIzs7k7bfn8eGHc4mPj6OoqIinnx6Ph4cnr7wyEQ8PD6ZNe5PLl//i55//i0ajJji4PlOnvnHb035L89gJUd3E5Vzmnf2zOJ95ngYeIczq9DaBLjWqOlnlqulai2daPM8T9zzN3vjdrL+wjsjkCI6lRPH50U+5v04/BtYdTLB73apOqhDiBgzFBhLzEkjMSyRJn0BiXgIJeZb/k/ISyTZkK+sajWBvp6KeewOa+7a0TD1w3YFOhEqlwtfJF18nXzrV6MLj94wjSZ/E7svh7I7byfGUKI6lRLH46CKaeDela1B3utfsKfOJCmHD1vwUSsTBvZW6zzbtOzPikf/c9PoJCfFkZ2dhMplwc3Nj6tQ32LRpPd7ePkyfPovMzExefnk8oaEr6dChEz173kfTps04e/YM8+cvwtXVlYkTn+H8+XPUr9+gUvNSERLYibvKwZSdfLP/PfRGPYPqPcCEVi9Vu5ounUZHj1q96FGrF/G5cWyMCWNTzAb+d/Zn/nf2Z+7xbsageg/QvVavKhs1Tgj4e0Tjf1tNUpGpiBR9Mgl58STmJZKoTyDpSiCXkBdPRkFGmdvp1Dr8nQNo5NUYf6cAApwD8ShuQNeG9+Csc77Dubh7+Dv5M6LhaEY0HE1afhp74nayK24nx1IiOZV2kq+OLaGBRwjdavagW80e1HKtXdVJFkLYgEuXYnnhhWcBy7zdM2fO4ddf19K06T0AnDhxjKioSI4dOwpAYWEhRqOx1D7c3NyYPn0yALGxMWRlZVKVJLATd4UiUxHfHl/Kj3/+F2cHO15vN50+wf2rOlm3rIZLEE81f47/3PMU++L3sCHmN44kHuLPtBMsPrqI3nX60KvWfTT1vueu6m8jbJfZbOZ0RjSbYtaz/a9tGIuNuNq54mrnhqudKy52rrhdee1m525ZpnPFzd4NV53blXVdcdI52+w1azKbSMtPIzEv3lLzpk+8UgNn+Zean4KpjF4MapUKPyd/Wvm1wd/Jn0DnGgQ4BxDgXAN/5wC8HLyuyXNiogpn3d3RtMkWeDt6M6TBMIY0GEZmQQZ74/ewOy6cyOQjnDtxlu9OfE2wW1261exB15rdqetW71/3w4QQtmbEI/+pUO1aZSnZx87q11/XotVapqHSanU8/viT9OlT9vOk0Wjk448/ZNmyH/H29uH11yfd9jSXRwI7Ue2l5qcyd/9sTqQeJ9CpJnN7vU099/pVnaxKpVVrlV+bE/MS2BATxuaYDaw79z/WnfsfHvYedAnqRuca3Wjt1+ZfMTeeuLOyC7PYeul3NsWsJyYrBgAfRx+8XX3INeSSUZDOXzmxZQY8ZVGrVLjo/g4IXa8EhC5lvVcCQ8v6tzoAktlsJrMww1LblpdA0pXAzVoDl6xPKtXfzUoFeDv60NS7Gf7OAQQ4BRLgHEigs+V/H0dfmxicSVh4OHgysN5gBtYbTI4hm/3xe9kZF86RxEOsOLmMFSeXEeRS0/LdGtSDEM+GWEpZCCGgadNm7N4dTp8+/cnISGfVqp947rmJqFQqiouL0evz0Gg0eHv7kJSUSHT0KYqKrv3bcSdJYCeqtcikI7x34G0yCzPpUbMXY2q9Tj33qp+76XYKcA7kyWbP8J+mT3I46RC748LZF7+X9Rd+Y/2F33DSOdEhoBNdgrrRLqCDTcxlJaonk9nE0eQINsasZ3fcTopMRWjVGrrV7EH/4EG0DWhXqgbKZDahN+aRY8gh25BNjiGbHEMOOYZsco25ZBuylM9yDTlXXmeRpE8sM5C6HiedE666krWDbqVqDf+uKXQh25BNkj6RhLy/m0sm5iVQWFxY5r7d7T2o79GAQOca+Dv5E6DUugXi5+Rf7Zp2CwtXOzf6BPenT3B/9EY9BxL2sSsunIMJ+1kZ/QMro38gwDmAFm49GKjtThPvpjZboyyEuDN6976fiIhDjB//JMXFxTz5pKXZZsuWrVmw4CNmzHiLdu068PTTj9OgQQhjxozl008/ZtmyH9FqqybEklExb9HdNEJQdWIym1gZ/QOhf36DWqXmuRYTGdpgOElJ6n9leZjMJv5MPc7uuF3sjd9FYl4iYOnT08b/XroEdadTYGc8HDzveNrkHrEtN1MeKfoUNl/cwOaLG5RrqbZbHQbUHcT9tftW+nVkNpspKC4g15BLTongzxoUWgNE67Jco/WzHPKL8it0LGeds9I8MqBErVuAcyD+zgE4ah0rNW/lkfujahUUFXA46SC7L4ezN34P2fn56HSW2ujOQd3oUbMnzXxaSJBXReT+sC1SHrbhRqNiSmB3i+Qiv/OyC7OYd/BdDiUexNfRl5md5tDU29LRVcrD8pB8Iescu+N2sSdup9JsTq1S0cynBZ1rdKVLULc7NkqclIltuV55GIuN7E/Yy8aYMI4kHcJkNmOvsadnrd4MqDuYpt732GRfJGOxkVxj2YFgjiHnSiAXqPR3c7G7/h/EqiD3h+0wFBvYeuoIJ/PD2Ru/mxyD5bnD2tS9W80etPRtjVYtjZ3uFLk/bIuUh22QwO42kov8zopOP8U7+2aRrE/mXv+2TO/wJu72HsrnUh7Xis+NY3fcTvbE7eJU2p9Yz059jwZ0DepO56Cut3UAASkT23J1eVzKjmVTzHp+j92szJ/Y2KsJA+oOpmet3tKU9zaT+8O2WMujyFREVEokuy6HsyduF5lX7g1XO1c61ehCt6AetPFvK01zbzO5P2yLlIdtkMDuNpKL/M4wm838dv4XvohaRLGpmLH3jOPRJo+XOcKclMf1pReksTduD3vjdxGZfIQiUzEAgS416FqjG12CKr9viZSJbUlMVOHuo2fn5R1svBDGn2knAMsDa586/elfdyB13etVcSr/PeT+sC1llYfJbOJE6jF2Xg5nT9xOUvNTAUtfz46Bnega1IN2AR1w0DpURZLvanJ/2BYpD9sggd1tJBf57ac36llw5P/Y/tc23OzdmdHhTe71b1fmulIeNy/XmMvBhP3sidvFwcT9FBQVAODp4Kk012zle+sjbEqZ2AbrNAWrj63nUMZWpW9aG/97GVB3MJ1rdJXahyog94dtKa88TGYT0emn2HV5B7vjdip9UO019rQP7Ei3oB50COwkNd2VRO4P2yLlYRsksLuN5CK/vS5mxfDO/re4lB1LU+97mNlxDr5OvtddX8rjnzEUG4hIOszuuJ3sS9hLdmEWQKWMsCllUrWyC7PYdmkLG2PCiMmKwWiEQDcf+tcdRL/gAXesr6Uom9wftqUi5WE2mzmXeZadl3ew63I4cbmXAcugVfcGtKN7UA86BXXFRedyO5N8V5P7w7ZIedgGCexuI7nIb58/Lm3h48MfUVhcyPCQUTzTYny5ndalPG5dsamYP9OOsyduN3vidpKkTwKuPKz4t6VLUHc6Bna66ZERpUzuvOtNU9AxsAsd3AfTt2k7GeXPRsj9YVv+aXmYzWYuZsew63I4uy6HczHbMmiVm50bz7acQN86/W1y8CFbJ/eHbZHysA0S2N1GcpFXPkOxgSVRn/Hb+V9x1Doypd10utXscVPbSnlULrPZzPnMc8rgK9aHlZIjbHYN6o6/c8B19yFlcuek6FP4/eJGNl1cX2qagv7BA7m/Tl88HbykPGyMlIdtqazyuJzzF39c2srqMyspKCqgpW9rJt07mZqutSohlf8ecn/YlruxPLZs2cS7777Fr79uxsPDo/wN/qGEhHhmzpzKN9+suOV93SiwkzF7hU1JzEvgnX1vcSbjNHXd6zKr0zvyh7AKqVQqGniG0MAzhCeaPUVczmV2x+1kb/xujqdEcSwliiVRnysjbHYJ6kawW135ZfoOKjIVsS9+D5ti1nM46aAyTUG/4AE2PU2BEHcrs9mMi9GRztq2tGzQmF1pu9meGs6zv49jTJOxPNRozC33XRZCVI4tWzYTFFSTHTu28uCDI6s6ObdMAjthM/Yn7OPDg3PJMeTQp04/XmrzqowyZmOCXGvyUOMxPNR4DGn5aeyL38Oe+J0cTY7gfOY5Qv/8lhouQXQN6kbnGt1o4t0U0FR1su9Kf+VcskxTcHGTMhR7Y68m9K87iJ61euOsc67iFArx72IwFJKanEBacgIGQ6GyvJNDW5r7N+ZCXgynz0Ux869IHm09jhZ+LaswtUKI7OwsTp36k+nTZ/Hjj8t58MGRvPDCs7Rp05ZDhw6gVqsZMGAQGzaEoVarWbjwC9LSUnnnnVkAFBUVMXPmHIKCavLww8No2LAx7dt34J57WvDJJx+iUqlwcnJixozZpY77++8b+fnn/6LRqAkOrs/UqW9UWp4ksBNVrthUTOjJb/np1Pfo1Dpebfs6/YMHSi2DjfN29GZw/SEMrj+EXEMOBxP3sztuF4cSD7Dq9EpWnV6Jh70H/rr61PHxxdfRD18nP3wd/fBzsryW4KNi8ovy2Xl5B5ti1nMi9ThgmaZgWMhI+tcdSD33+lWcQiH+XcxmM9lZ6aQkxZOdmYbZDBqNBl//Gvj41UCr05GdmU5WZhouma4E5PqTVZjJsSO7iXaOoGP9bgT41MTOXn7EFP9exdmrMRccrtR9qhzaonEbdcN1/vhjK507d6VDh0588MG7pKQkA+Dt7cMXX3zD888/SXZ2NosXf82ECU9z4cI5ioqKGDfuGdq0aUtY2K+sXbuaF198hfj4ON577/+oV68+L7/8PFOmzKBWrdqsXbuatWtX0bfvAOW4+fn5zJ+/CFdXVyZOfIbz589Rv36DSsm3BHaiSmUUpDN3/9tEpUQS6FKDtzq9TX2PkKpOlqggFztXetfuQ+/afSgsLiQi6TB7rgR5JzKOcDq37O2cdE5/B3rWwM/JD19HX/yc/PF18sNeY39nM2NjzGYzZzJOszEmjD8ulZ6moH/wILoEdZNpCoS4w4yGQlJTEklNjsdQaKmdc3ZxxccvEE9vPzSavx+vfPwC8fELxGQykZuTxZm4Pzl5OYriPAMHTuywfAd6BODm4Y27hzcuLm6o1DK4kRC329atm/nPf55Co9HQq9d9bNv2OwBNm94DWAK8kJBGAHh5eZGbm0uNGkEsWPB/fPPNl+TkZNOoURMAHBwcqVfP8uPqyZN/8sEH7wJgNBpp0qRpqeO6ubkxffpkAGJjY8jKyqy0PElgJ6rMhcxzTN81hfSCdDrX6MqUdtNwsbt+h1BRPdhr7OlUowudanQB4FKcAbVbEin6ZFLyk0nRp5CSn0yyPkl5HZt98br7c7NzUwI+Pyf/K0Hf34Ggj6NvuaOl2iqT2YS+SI/eqEdvzLvyOk9ZllGQzo6/tnEh6wIAPo4+DA8ZRf+6A2WaAiHuMLPZTE52BilJ8WRlpGE2m1FrNFcCtxo4u9z475darcbN3ZO27l1p1bgja0+uYt/5nQQa/Qkx1CcgN5Ck+L/QaDW4uXvh7uGNm4cXOp38cCPubhq3UVBO7VplS05O4uTJE3z22QJUKhUFBQW4urpgb++ARvN3F5KSr81mM9988yUdOnTkwQdHsn37Vvbu3Q2ATvf3c4iDgwOLFn1ZquVZQkI8YAn0Pv74Q5Yt+xFvbx9ef31Spearej4NiWovqzCTWXtmkF6QzjMtxjOq4cPS9PIuZaexJ8C11g0HwdEb9ZZAr0Tgl6K/Evzlp3A55y/OZ54rc1sV4OngVaKZpz++TqWbfno7elfa8P5msxmjyUieMdcSkBVdG5TllQjOSn6WZ8wjvygffVEeeqNeqX27EY1KTdeg7gyoO5i2ATJNgRB3mtFoIO1K7VxhQQEATs4u+PgF4uXjX6p27mZp1VpGNxtD1+AeLIyYz7akZdTOC2JI4APU1tQkIy2FjLQUwFITaKnN88LJ2VX+VgpRCbZu3cywYaN48cVXAMvf9ocfHobRmHbD7TIzMwkKqonZbGb37nCKi03XrNOgQQj79++lU6cubN26GQ8PT4KCagKg1+eh0Wjw9vYhKSmR6OhTFBUVVVq+JLATd1yxqZh39s0mSZ/E2KZPMLrRI1WdJFHFnHROBLvXJdi9bpmfm81mco05JOuTSNYnl6j9SyYlP4VkfRLnM89yOj26zO01KjXejj5Xavz88HWyNPX0dvSh2FR8bXB2JWDLM+ZaArGSAZsxj2LztV/kN0On1uGkc8ZJ54SHvSfOOmectE446Zxw0lqWO+tccNQ6WtbTOtHMpzmeDl7/6HhCiH/GbDaTm5NFSlI8mRkpmE1m1Go13r4B+PgF4uziVikBVg2XIOZ1m88fl7bwRdTnLIz9nPoe9Xmx2cv4mD3JykwnNyeLvNwcEi5fRKvT4e7hhZuHN27unmi1MrqmEP/E1q2bmTlzjvJepVIxYMBgvvvuqxtuN3TocD755CMCAmowcuRDfPjhXA4e3F9qnZdffo0PP5zLDz+EYmdnz+zZ75KXlweAu7sH7dp14OmnH6dBgxDGjBnLp59+zLJlP6LV3npYJvPY3aK7cU6P223x0UX87+zPdK7Rlbc6v1OpNRBSHrbnTpWJyWwiszCDFH1Kidq/0k0/0wvSMFXwK0+tUuGodboSgDlbgjGdk7LMWedy5b0jTlrr585XgjVHy+day/q2MMS53CO2RcrDtsTFFaFVJ5CanEBBvh4ARycnfPxq4OXjf1sDqezCLJYe+4LNFzeiAoY0GM64Zk/joLYnOyuDrIw0srPSMRoMAKhU4OzqjvuV2jwHR+e7rjZP7g/bIuVhG2SC8ttILvKK+f3iRj46NI86bsF82vsLnHROlbp/KQ/bY0tlUmwqJq0gTWnmmV6QhlatVYI25f8SNWgOGoe76mHJlspDSHnYArPZTF5uNilJ8SQnpaDVmFCpVXh6+eLjVwMXV/c7+h1wLOUonxz5Py7n/IWPow8vtJ5El6BuSlrz9blkZaaRlZmOPjcb61Ocnb09bh6Wvnmubp6l+gZVV3J/2BYpD9sggd1tJBf5zYtOP8Wr21/EXmPPZ/d9SZBrzUo/hpSH7ZEysS1SHrZFyqPqFBcVkZaaRGpyPPl6SzMpVI7UrF0Dbx9/tFU4aImh9POwOAAAIABJREFU2MDK6B/4Kfp7ikxFdK7RlRdaT8LXybfUekVGA1mZ6WRnpZOdma701VGpVbi6eeDu7o2bpxcODpX7I+qdIveHbZHysA03Cuykj524I9IL0pizdybF5iKmd5h7W4I6IYQQ4kbMZjP6vBxSkuLJSE/GVGxCpVLh6W2pncvTe+JvAwPO2mnsePyecfSs1ZuFEfPZG7+byOQjjGv2NEMbDFe6MGh1dnj7BuDtG6DUPGZlppGdmU52ZgbZmRkQCw6OjsoALC6uHqhlOgUh7koS2Inbzlhs5O29s0jNT+Xp5s/RPrBDVSdJCCHEv0hxcRHpqcmkJsejz7NMrGlv74BPUCDevoHKlAL6fBVgOzUStd3q8FGPBWy+uJGvjn3B4qOL2Br7O6+2nXLNnK8qlQoXV3dcXN0JqlUPg6GQ7CtNNrOzMkhOuExywmXUGg1ubh64eXjj4eUj0ykIcReRwE7cdp8fXcifaSfoWau3jIAphBDijtHn5ZCSHE9GajLFxcWoVODh5YOPXw3c3D2rRf9ZtUrNgLqD6BjYiSVRn/HHpW1M2PoMI0JGM/aecThqHcvczs7OHh+/Gvj41VAmR7fU5qWRmWH5d/nSeWrUDMYvoGa1OBdCiBuTwE7cVmHn17H+wm/U96jP5LZT5Q+HEEKI26q4uJiMNEvtXF6upX++nb09/oG18PYLxM7OvopT+P/s3Xdgk3X+wPF3VpuuNDvdhZa9pyxRXOcep6fnKe6NOHHvee5xKnpuOfdPb7gR1+GhiCCIDAFZbWmbNKPpbrOe3x+FCspooW2epp/XP8Y0efIJnz5NPs/nO/aOxWjlxgm3cVjhETyx9FHeWfc2/yufz2Wjr97jSJhtm6ObMi1Q2I+W5iaC1T7cFSVsKdlAwO+hsO9AUtN2v8m6EELdZPGUfSQTSXdthe8nrpt/JamGdGYf8ixZaV0/cUHyoT6SE3WRfKiL5KPzNDU24K2qIOBzE420dudMZit2Zw6ZZlu7Liz2lHw0R5p5/ec5vLP2LaJKjGn5B3PJqJlYjbYOHScSDrGldAN+rweNBpzZ+WTn9lHNipo9JR+9RSLlo7KygjPPPJWBAwcBEAqFOP30szjwwIM6dJynnnqcoqJijjrq2K4Ic6dk8RTR7byNXu769lZiSoxbJ97RLUWdEEKI3iUWi7V15+rragEwJCXhzM3D5swmOdkY5wi7hlFv5LzhF3FQwaE8/sPD/LfsS5a4v+e84RdxVNEx7d4fVm9Iok/xYKz2LEo3rcVTUUbQ7yW/b38yzR0rEoXoaQoKCnnqqecAqK2t4ZxzTmfixEk9+u+GFHai04WiIe749maCLUFmjLqMUc4x8Q5JCCFEAmluasBbVUnA625b4t9ktmB35mA229D0klUfizKLefyg2Xy44T1eXPkcf1v6CJ+XfMqVY6+hT2bfdh/HlGlhyPDxVJaX4KksZf2aFVjtTvIK+8niKqJXMJkysdnslJaW8uijD6DX69Fqtdx99/00NDRw1123kpKSykknnUJ9fR2vvz4Hh8NFcnIyRUXFNDTUc+edt9DU1ERzczNXXXUtQ4YM6/b3IYWd6FSKovD4Dw+zrnotf+hzBCf0OyneIQkhhEgAsViMYMCLr6qCutoaAPQGA1k5+didOSQbd76ISKLTarQc1++PTM6dyuxlf2NB+ddc8vl5nDLwNE4ffCZJuvYVZlqdjtyCIiw2J6Wb1hLwVVEbDJBbUIzNkSVz5EWX2VK6gWp/Vace02JzkldQ3O7HV1ZWUFtbQzAY4KqrrmXAgEG88MLfmTfvE6ZMOYBfflnLP//5ISZTJieddAwvvvgqGRkmzjtvOgB+v59jjjmBAw6Yxg8/LOb11+dw770Pdep7ag8p7ESn+vf6d/ms5FMGWAZyxZhZ8kEghBBinzQ3NeLzVuL3uomEwwBkmMzYXTmYLXbZk20re4qd2yffzcKKb3hy6WO88fOrzC/7iivGXM1o19h2Hyc1LZ2BQ8fg9ZRTUbaJko1rCfg8FPQdgDGlZ250LsTOlJaWMHPmhQAkJSVxyy13YjSm8MwzT9LS0ozP5+Www44AIDc3j8xMM8FgkNTUNCwWKwDDh48EwGq1MWfOC7z55quEw2GMxvgM55TCTnSaZZ4feHb5bMzJZu6YfG+7rxIKIYQQ24vFYgSrfa3duZogAHqDHldOPnZHthQYuzEpZwojHaOZs+ol/rP+Xa77+moOKzyci0bOIDPZ3K5jaDQanFl5mC12Sjf/Qk21n59XLCErtwBXdoEU06JT5RUUd6i71lm2n2O3zWWXXcTpp5/FxImTeeONV2lqagRArzcArSPTtNpfmxaxWAyA//u/N7Dbndx6692sWbOap556vJvexY7adWauW7eOQw89lNdeew2AyspKzj77bKZPn87ZZ5+N1+sF4P333+ekk07i5JNP5p133gEgHA4za9Ys/vKXvzB9+nTKysoAWLNmDaeeeiqnnnoqt99+e1e8N9GN3A2V3PPdHWg1Wm6ffA+OVEe8QxJCCNHDtDQ3UV66gZXLFrLpl9XU1QTJMGXSt99gho+eTF5BsRR17ZBqSOWSUTN54uC/U2zux2cln3Lu3DP4bPNcOrIYelKykeIBwygaMBSdXk9F2WbWrFxCfV1NF0YvRPzU1ATJzc0jFArx3XfftM3h3SYzM5P6+nrq6uqIRCKsWLF8h+cBzJ//1e+e1132WNg1NjZy9913M2nSpLb7Hn/8cU455RRee+01DjvsMF5++WUaGxuZPXs2r7zyCq+++ipz5swhGAzy4YcfYjKZePPNN7n44ot55JFHALj33nu56aabeOutt6ivr2f+/Pld9y5Fl2qKNHHHtzdTG6rl0lFXMsw+PN4hCSGE6CGUWIzqgJdffl7Oyh8X4a4oQ1EUnNl5DB05ngFDRmO1u6RLtBcGWgcx+5DnuGjkDFqiLTy4+D6u//pqttSVtfsYGo0Gi9XB0BH74XDl0NTYyNpVyyjdtI5onL68CtFVTjrpz9x44zXceuv1nHTSn/nkkw+pr69v+7lWq+Xccy9k5swLueWW6ygqau00HnHE0bz99utcddWlDB06DL/fz0cfvd/t8e9xH7tIJEIkEuH555/HYrEwffp0GhsbSU5ORqfT8fHHH7NgwQKOPfZY/vnPf/Lwww8DcNtttzFt2jTmzp3LCSecwOTJk4nFYkybNo3PP/+cI444gi+//BKADz/8kJUrV3LDDTfsMg7Zx06dFEXhr4vu4r9lX3JM0XFcMXZWXOPp7flQI8mJukg+1KU356Olualt7lw4FAIgPcOE3ZmDxeZAq+3+vdQSOR+eBjdPLnuMRZXfYdAamD7kLE4ecCoGnaFDx6mvq6F001qaGhsxJCWR36c/Zou9S+bUJ3I+eiLJhzrs0z52er0evX7Hh6Wmtg6DiEajvPHGG1x66aX4fD6sVmvbY6xWK16vd4f7tVotGo0Gn8+HyWRqe6zNZmsbzrkrXq+GaHRP0Xa/qqrevTjIeyVv8NnGLxmYOZwTs6/A7Y7vv0dvz4caSU7URfKhLr0tH4qi0NTgp662nObGAAqg1epJz8glPTOXpKQ0wlGo6twF8totsfORzaXFDzDO9F9eWfc3nlv2Ah+t+4wz+1/GSOt+HTiOGYtjPNrqUmoCm1m7ehWpaXasjgHo9cmdGnFi56PnkXyog2M3s532evGUaDTKddddx8SJE5k0aRIffPDBDj/fVSNwZ/e3Z7y3w6HeKwS99erF95WL+Gfps2Sb7Nx/yF1YjHog/v8WvTUfaiY5URfJh7r0hnyEWppbu3NVbkKhFgDMFhM2ZzZWqxOtblt3Lv7/FomejxOyp3HooLG8tPJ5Ptr4Pg+vuoaJOZO5aMQM8jLy23kUDdnZhTQ3OSjdtJa6Wh++ympy8vvicOV2avcu0fPR00g+1G2vC7sbb7yRwsJCZs6cCYDT6cTn87X9vKqqilGjRuF0OvF6vQwaNIhwOIyiKDgcDoLBYNtjPR4PTqdzH96G6G5b6sr466I70WsN3DH5XixG656fJIQQotdQFIWaoB9fVSW1QT+KAjqdDocrB7szh9S09HiH2GulJ2Vw+ZirObroWJ7+8Um+q/iWJe5FnNj/ZE4bfCZphrR2HceYkkr/waPwe92Ul26gbPP6rVsjDJT8ChEHezUT+f3338dgMHD55Ze33Tdy5EhWrFhBbW0tDQ0NLF26lHHjxjFlyhTmzp0LwFdffcWECRMwGAwUFRWxZMkSAObNm8fUqVM74e2I7tAQbuD2b2+mIdzAVWOvYaB1ULxDEkIIoRKhUAuVWzaz8sfv2LB2JTXVflLTMigsGsjwMZMp6DtAvvSrRLG5Pw8f+DdunXQnNqOd/1v7Fmd/chpzN31MTIm16xgajQa7M5shI/fDanfSUF/HmpU/UF66kVhMhXNohEhge1w8ZeXKlTzwwAOUl5ej1+txuVz4/X6Sk5NJT2/9w1xcXMwdd9zB3LlzefHFF9FoNEyfPp3jjjuOaDTKLbfcwubNm0lKSuL+++8nOzub9evXc9tttxGLxRg5ciQ33njjbgOVxVPUIabEuOPbW1hY8Q0n9j+ZS0bNjHdIO+ht+egJJCfqIvlQl0TJh6Io1NYE8HkqqNmuO2exO3E4c0hN2/VkfzVJlHzsjZZoC++ufZs317xGS7SF/pYBXDrqCobah3XoODVBP2WbfqGlpZlko5GCvgMxZVr2KqbenA81knyow+4WT9ljYacWUtipwz9Wvcyrq19hlHMM9099GF0cVi3bnd6Wj55AcqIukg916en5CIda8Hnd+KoqCLW0zp1LTUvH7szBanei0+31jI+46On56AzeRi8vrvg7X5R+DsDBBYdw/vBLOrQ/bTQapbJ8M1WVZSgK2Bwu8gqK0RuSOhSL5ENdJB/qsLvCTjaFEe32Tfn/eHX1K2SlZXHLxNtVV9QJIYToeoqiUBsMsGHdSlYs+46Ksk1EIhHszmwGDRvD4OHjcLhyelxRJ1o5Uh3cMOFWHj9oNgMsA/my9AvOmXs6r62eQ0u0pV3H0Ol05BUUM2jYWFLT0/F7Paz66Xv8XneHNkgXoqtUVlZw3nlntOux5513BpWVFTQ3N3PddVexevXKLo5u78lfXdEum2s28cD395KsS+aOyfeQmWyOd0hCCCG6UTgcwu+txFdVSUtzM7CtO5eN1e6SQi7BDLUP48lD/s68zXN5ccWzzFn1EnM3fcQFIy7hgLxp7Vr5MjUtg0FDx1Ll3kLFlk1s3rCGgM9Dft/+GI2p3fAuhOg8W7aUcf31N2Oz2eMdyi7JX2GxR3WhWm7/9maaIk3cPPF2is394x2SEEKIbqAoCnW1QXxVFQSrfSgxBa1Wi82RhcPVOneuKzamFuqg1Wg5ou9RTM07kDd+/gf/+uUd7vnuDkY4RjJj1GXt+j6g0WhwZedjtjoo27SOmmCAn39aQnZeIa6sfDRaGTwm4ufee+/Abnewdu3PeDxubrvtHgYOHMTjjz/EypUrKCgoJBIJA1BbW8MrrzzPPfc8yOLFi3jiiUewWu0UFBRiNps577yLePbZ2fz004/EYlFOPPEUDjvsiF2+xpNPPsrq1asIhUKccMJJHHvsCfv8fqSwE7sVU2Lct+huKurLOXXQ6UzLPzjeIQkhhOhiLc1NVAe8+L2VNDc1AZCSmtY2d06vN8Q5QtGd0gxpXDDiEo7sewzP/vQ031V8y4zPL+DIvsdw9tDzMBv3vDhKcrKR4oHDqQ542bL5F8pLNxHwVVFYNJC0dFM3vAuhVinPPY3h6/926jHDB0yj6cIZ7XpsKBTi0Uef4j//eZe5cz8iKSmJFSt+4vnn5+D1VnHqqX/83XOeeeZJbr31LoqL+3PppRcwfvwEli9fhsfjZvbs5wmFQpx77nQOOGDaTl+jT5++ZGXlcNllV9PS0swpp5wghZ3oei+teI7F7u8Zn7Uf5ww7P97hCCGE6CItLc0E/VVUB7w01LcuWNbanXNhd+aQlm6S7lwvl5eRz91T7mOJ+3ueWf4UH238gP+WfckZQ87m+H4notfu/mulRqPBanNiyrRQXroRX1Ula1ctxeHKJSe/rwznFXExcuRoABwOF6tXr2Lz5o0MGTIMrVaLy5VFTk7u757j8VQyYEDrdl8TJ04mGo2yYsVyVq1awcyZFwKgKLG2Pb5/+xrJycnU1tZw8cXnotfrCQarO+W9yBkkdumr0i94e+2b5KbncdOE29BqZLiEEEIkklBLM9UBL9X+qrZiTqMBk9mCxerEbLVLd078zris/XjW+RIfbniPOate4u/LZ/PRxg+4eORM9suesMfn6/UGCosGYrW7KN20lip3OcGAj/y+/TFb1Dt/SXSNpgtntLu71hV0ul8XA1QUBUUBrfbXi1ix2O73dNx2wctgMHDMMcdzxhnn7PE1li37gaVLl/DUU8+h1+s57LDO2c9bvqmLndoQ/IWHl9xPij6FO6fcS3pSz9iDSAghxO6FWprxVJaxZtVSViz7ji0lG2hsqMOUaaGwaAAjxkym/6CR2J3ZUtSJXdJr9ZzQ/yReOfJ1ji0+nvL6Mm5ecB23LLieLXVl7TpGhsnM4OHjyc7rQzgSYsPalWxYt5JQqH2rbwrRFQoKClm7dg2KouB2V1JZWfG7x1itNkpKNhONRlm8eBEAQ4YM45tv/kcsFqOlpYXHHntwl69RUxPE6XSh1+tZsGA+0WiMcDi8z7FLx078Tk1LkNu/uZlQNMRdU/5KoalPvEMSQgixD0KhFqr9VQQDXurraoGtnblMCxabA7PF3uE9xoQAyEw2c/mYqzmm6Die/vEpFlV+xw+exZzQ7yROH3IW6Yb03T5fq9WSk9cHi81B6cZ1BAM+6mqqyS0oQlF+PwROiK7Wr19/ioqKueiic8jPL6B//wG/e8wFF8zg5puvJTs7h8LCPuh0OoYPH8no0WO56KJzAIU//vHkXb7GuHETeP31OcyceSFTpx7I5Mn78/DD93HjjbftU+yyQfk+SrTNGiOxCDd8fQ3Lvcs4c+g5nDHk7HiH1CGJlo9EIDlRF8mHunRlPkKhFoJ+L9WBqh2KuQyTBbPVgdlqxyDF3A7k/Ng3iqKwoPxrnvvpadwNbjKTzZw77AKO6HtUu6ZzKIqC31vJltINRCNRtLoMivr3wZRplfmdKiDnx6++//478vMLyM7O4cEH72XUqLH84Q9HdMtr726DcunYiR0899MzLPcuY0ruVE4ffGa8wxFCCNEBoVALwYCXar+X+roaYFsxZ27tzFkdUsyJLqPRaJiadyATsifx7rq3eXPNazz2w0N8sOE/zBh9OcPtI/b4fLszh0yzjbKSDVR5qli/ZgWpaelk5RZittilwBOqoCgKN910DampaVgsVg466JB4hwRIx26fJdLVi3mbP+GhxfdTaOrDEwc/Q6qh520emkj5SBSSE3WRfKhLZ+QjHGqhOuCjOlBFQ10NitJazKVnSDHXUXJ+dC5vo5cXVz7LFyWfATAt/2DOH3ExrlRXu55fWtJAJFRCMFCFokBKaipZOYVYbE4p8OJAzg912F3HTgq7fZQov+RrAj9z9VeXkaxL5qlDniU3Iy/eIe2VRMlHIpGcqIvkQ132Nh/hUIjqgJdgoIr6HYq5TMxWJxarA0OSFHMdJedH11jtX8XTPz7B2sAaknRJ/HngaZwy8C8Y9cbdPm9bPpqbGnFXlBDweVAUMKak4MopwGZzyQbn3UjOD3WQwq4LJcIveaDZz6WfX0ig2c89+z/A+Kw9L1WsVomQj0QjOVEXyYe6dCQf4XBou2GWwbZiLi0jE4vVicVqx5CU3MURJzY5P7pOTInxecmnvLDiWaqbq3GkOLhgxCVMyz94l9233+ajpbkJd0Upfp8bJaaQnGxsLfAcWWilwOtycn6ogxR2Xain/5KHo2GumX8Fq/2rOH/4Rfx50GnxDmmf9PR8JCLJibpIPtRlT/nYWTEHrZ25bcMsk6SY6zRyfnS9xnAjb655lXfX/R+RWIRh9uHMGHU5/S2/X3lwV/nYtmWHr6qSWCxGUlIyrpx87I5stNvtFyY6l5wf6iCLp4hdmv3j31jtX8W0/IM5ZeBf4h2OEEL0eq3FnI9gwEtdbfV2xZypddNwmxRzoudKNaRy3vCLOLLvMTy7/Gm+rVjApZ9fwBF9j+acYedjMVr3eIykZCP5ffqTlVOIx12G11NB2eb1uMtLcGbn43DloNPJV1zR+8hvfS/24Yb3+WjjBxSbi5k17nqZiCyEEHESCYcIVvuo9v++mDNbHVhsTinmRELJSc/lzin3stSzhKd/fJJPNn3E/C1fccaQszm++EQMOsMej2FISiKvoJis7Hw87i143eWUl27EU1GKMysPR1Yuev2ejyNEopChmPuop7alV/h+4tr/XkFaUgZPH/IcrrSseIfUKXpqPhKZ5ERdJB/qEQmH2bTRB7GqHYq5tAwTFqsDi9VBUvLuF5cQnUvOj/iIxqJ8uPE95qx6ibpQHbnpeVwy6jIKNZM6lI9IJIzXXU6VewuRSASdTocjKxdXVh56WRl2n8n5oQ4yx64L9cRfcm+jlxmfn09tqIYHD3iMkc7R8Q6p0/TEfCQ6yYm6SD7iKxRqoabaRzDgo662mlAYDHpIS8/AYnNitjpIlmIubuT8iK/alhrmrH6ZDzf8h5iiMMw0iRunXo0z1dmh40SjEbyeCqoqywiHw2h1WhzOHFzZBbJa7D6Q80MdpLDrQj3tlzwUDXHVVzNZV72WS0ddzgn9T4p3SJ2qp+WjN5CcqIvko/u1NDe1bk1Q7aOhrrbt/rQMExqtgz597SQbU+IYodhGzg912FSzkad/fJLF5UsxpaRw4YgZHF10bIenjMSiUXzeSjwVZYRCLWi1WmzObLKy86Ubvhfk/FAHKey6UE/6JVcUhQcX/5XPS+bxhz5HcM24GxJuXl1PykdvITlRF8lH11MUheamBqq3LoDS1NgAbN1nzmTGbHFgttpJSkqWfKiM5EM9FEXhrWWf8HbpUzSEGxjlHMOscdeRlZbd4WPFYjH8XjeeilJaWprRaDXY7Flk5RTIRZUOkPNDHWRVTAHAv9e/y+cl8xhoHcQVY2YlXFEnhBDxoigKjQ11WzcN99HS3ASARqsh02LDbLFjtthkno8Q7aTRaDgo52gOHTSeJ5Y+wneVCzn/07M4f/hFHNfvj2g17d+3TqvV4nDlYHdkEfBX4a4owVdVid9bidXuIiunAGNKWhe+GyG6hxR2vcRSzxKeXT4bi9HC7ZPuIUknXy6EEGJfKIpCfW2Q6mofNQEfoVALAFqdrm2PuUyzVZZdF2IfOFId3DXlPr4s/YzZPz7B7B+fYP6Wr5g17nryMvI7dCyNVovNkYXV7qI64MVdvhm/10PA58FsdZCVU0hqWnoXvRMhup582vQC7oZK7v3uTrQaLbdPugdHqiPeIQkhRI8Ui8WorQkQDPioCfqIhCMA6PV6bI4szFY7pkwrWm37uwlCiN3TaDQcUvgHRrvG8uTSx1lQ/jUXzjuHc4adz0kDTulQ927b8aw2Jxarg2C1D3d5CdV+L9V+L2aLjazcQtLSTV30boToOlLYJbimSBO3f3MTtaFarhx7DUPtw+IdkhBC9CjRaISaYGsxVxv0E41GgdY9tByuHMxWBxkZmWikmBOiS1mNNm6ffDfzy77iyWWP89xPz/D1lv8ya9z19Mns2+HjaTQaLFYHZoud2poAleUlBKv9BKv9ZJqtZOUWkp6R2QXvRIiuIYVdAlMUhUcWP8DGmo0cW3w8RxcdG++QhBCiR4iEwwSDW7clqKkmFosBkGw0YnflYLbYSUs3yVxlIeLgwPyDGOUczexlT/BV2Rdc8vn5nDHkbP488DR0Wl2Hj6fRaMg02zBlWqmrDeIuL6EmGKAmGCDDZCYrt5AMk1nOd6F6UtglqECzn6eW/Y3/bZnPMPtwLhl5WbxDEkIIVfvtHnPb1oxOSU3DvPWqfkpqmny5E0IFMpPN3DTxNqblH8zjSx/m5ZUv8L8t87l2/A0Umfvt1TE1Gg2mTAumTAv1dUEqy0uoDVZTVxskPcNEVm4hpkyr/A0QqiWFXYKJKTE+2fQRL/z0d+rD9Qy2DeG2SXdh0BniHZoQQqjOLveYS89oK+aMKalxjFAIsTuTc/dnuGMEz/z4FJ+VfMqMzy/gtMFn8pdB0/fpu096hpn+g8w01Nfi3jpEc/2aFaSmpZOVW4jZYpcCT6iOFHYJpKR2M3/74RFW+H4iRZ/CZaOv5Jji4zs8qVgIIRLV7vaYyzCZW4u5rXvMCSF6howkE9ftdxPT8g/hsR8e5NXVr7CgfD7XjLuRAdaB+3TstHQTxQOH09hQj7uihGDAy8Z1q0hJTcPuyEZnMKDT6dDp9Oh0OrTaX29rtFop/kS3ksIuAYSiId5a8zpvrnmNSCzC/rkHMGPU5bL6pRBCsKc95qytG4bLHnNC9Hj7ZU/g+cPn8MJPf+ejjR9w2ZcXccrA0zhjyNn7vM1Talo6Rf2H0tTUgLu8lGq/h7KS9bt9jkYD2q1Fnk6na72t1aHdvhDcRVH428dotTopEsUeSWHXw63wLuexHx6mrK4Ue4qdmaOvZEru1HiHJYQQcaUoCvV1NVQHvLLHnBC9SLohnSvHXsMBedN47IeHeGvN63xbsYBZ465niG3oPh8/JSWNvv0Gk5PXh4b6WqLRKLFohGg0SjT26+1YNEp0u9vhUIhotAll2+TdDtJoaCv8tFsLxe1v71BAaltvJyUbSc/IlIKwF5FPtB6qLlTLCz89y8ebPkQDHNfvj5w77ALSDGnxDk0IIeKmqamBgK91w+FQS2sx17rHnAuz1YEp04J2L1bNE0L0LGNc43j2sJd5aeXzvLf+X1z55QxOHHAyZw89H6PeuM/HTzamkGxM6dBzFEVBURSi0cjWwi/66+3xo7K3AAAgAElEQVTtisId7t++cNx6XyQSpqWlCSW25yLRkJSE1ebEaneRkpouRV6Ck8Kuh1EUhflbvmL2sr8RbAnSx9SXq8Zd2ylXoYQQoicKh0NU+6sI+Dw01NcBoNPpsDmysNpdssecEL1UqiGVmaOv4MC8aTy85AH+ue4dFlZ8y6xx1zHCMarb49FoNGg0GrTaJOiENe1isdgOxWAstt3taISGhjqCfi+eyi14KrdgTEnFandhtTk7XJSKnkGjtKMnvG7dOmbMmMHZZ5/N9OnTqays5LrrriMajeJwOHjooYdISkri/fffZ86cOWi1Wk455RROPvlkwuEwN9xwAxUVFeh0Ou677z7y8/NZs2YNd9xxBwADBw7kzjvv3G0MXm9dp7zhzuZ2a8jK2ru2ekd5Gj08ufRRFlV+h0Fr4IwhZ3PywFPRa6U+36Y78yHaR3KiLomSj1gsRk21H7/PTW0wgKIoaDRgyrRidWRhtth6RGcuUfKRKCQf6tKZ+WiONDNn1Yv865d3iCkKx/X7I+cNu5BUQ2KvehuLxagN+gn4q6ip9rftyZmekYnV7sJic6DXt6/KlPNDHRyOjF3+bI8VQWNjI3fffTeTJk1qu++JJ57gtNNO48gjj+TRRx/l3Xff5YQTTmD27Nm8++67GAwG/vSnP3HYYYfx1VdfYTKZeOSRR1iwYAGPPPIIjz/+OPfeey833XQTI0aMYNasWcyfP58DDzywc95xgokpMf79y7u8supFmiPNjHKO4YoxV5OXkR/v0IQQotsoikJDfQ1+n4dqfxXRSBRoXdTAandhtbswyAIoQoidMOqNXDTyUqbmTeORJQ/w/vp/833lQq4aey1jXOPiHV6X0Wq1W1f7dRCJhAkGfAR8HurrgtTX1VBW8guZZhtWu4tMsw2tjG7o0fZY2CUlJfH888/z/PPPt923aNGitg7bQQcdxEsvvUTfvn0ZPnw4GRmtVeSYMWNYunQpCxcu5IQTTgBg8uTJ3HTTTYRCIcrLyxkxYkTbMRYuXCiF3U6sr/6Fx354iHXVa8lIyuCy8VdyWOERMkZaCNFrtDQ34fd5CPjctDQ3A63zRuw5OdjsWaSkytxiIUT7DLEN5ZlDX+C1n+fw9prXuf7rWRxddCznj7iYdEN6vMPrUnq9AbszG7szm1BLM4GtQ9iDAR/BgA+dXofF6sBqz5JFV3qoPRZ2er0evX7HhzU1NZGU1HpV1Gaz4fV68fl8WK3WtsdYrdbf3a/dup+Hz+fDZDK1PXbbMXbH69UQjbb/jXWXqqqu+aVvjjbxz02v8FHZ28SUGFOz/sAZ/S7FlGTB4+mSl0wIXZUPsfckJ+rSU/IRjYZprK+ivs5NS3PrxuFajZbUdBdpGVkYUyxoNBpqaqGmdg8HU7Geko/eQvKhLl2Xj2SOsl/IoBEH8Pc19/OftR/w9ebvuHDQtYyyTeyi11SbFNAWYnUWEmqpp6HOQ0Odh8oKN5UVbvS6ZNIyXKRluEhKbi145fxQB8dudjPb58lZu5qi15H727P0q8Oh3jG9nT3eeLF7EU8sfxR3g5u8zGyuGDuLsa7xW3+q3n8HtZDx3+ojOVEXteajdS5IAL/PTU3QjxJrnTdns1mw2l2YrfbfbE+gzvfRUWrNR28l+VCXrsxHVtZAxhc/x5trXuONn//BI6uv47DCw7lk1Ewykkx7PkDCSAOKUJS+1NcGCfg9VPu9NNaX0lhfSkpqWutwd2sWWVky3F3N9qqwS01Npbm5GaPRiMfjwel04nQ68fl8bY+pqqpi1KhROJ1OvF4vgwYNIhwOoygKDoeDYDDY9thtx+jtqpsD/H35U3xZ+gVajYY/D/wL04ec3SnL8gohhBpt2zy8dd6ch0g4AkBKaipWe+uqlklJyXGOUgiRqAw6A2cOPYf9c6fy0OL7+azkU5Z4vufKMdcwOXf/eIfXrTQaDRmZFjIyLeT3GUBNtZ+A30NN0E956UYikY001ppbF12xOtDpZfE+tdmrGZKTJ0/m008/BWDevHlMnTqVkSNHsmLFCmpra2loaGDp0qWMGzeOKVOmMHfuXAC++uorJkyYgMFgoKioiCVLluxwjN5KURTmbvqY8z49ky9Lv2CAZSBPH/o854+4WIo6IURCamlpprK8hNU/fc+alUvxusvRoMGZncfg4WMZPHw8WTkFUtQJIbpFkbkfTx3yLOcOu4C6UB23f3sz9353JzUtwT0/OQFptVosNgfFA4YxYsxkCvoOINmYSV1tkJKNa/lp6bds/GUVwYCvbaVNEX973O5g5cqVPPDAA5SXl6PX63G5XDz88MPccMMNtLS0kJOTw3333YfBYGDu3Lm8+OKLaDQapk+fznHHHUc0GuWWW25h8+bNJCUlcf/995Odnc369eu57bbbiMVijBw5khtvvHG3gSbqdgdb6sp4/IdHWO5dhlFv5NxhF3B8vxPRamRVor0hS/Gqj+REXeKZj2g0QrXfS8Dnoa629cuSVqsl02LH5nBhyrT2usn6cn6oi+RDXeKVj5LazTyy5AF+9q8mM9nMZaOv5MD8g7o9DrVxuzVYzI1ti640NzUCretxmG0ObHYXaemy6EpX2912B+3ax04NEq2wC0fDvLPuLV5bPYdwLMzE7EnMHHMVrlRXF0TZe8iHsvpITtSlu/OhKAq1NYG2lde2XdnNMGVitWf1+uE8cn6oi+RDXeKZj5gS41+/vMNLK54nHAuzf+4BXD7mKixG656fnKC2z4eiKDQ11hPweQj4qwiHQgAkJxux2J1Y7S5SUmTF4q6wT/vYic63yreSx354iJLazViMFmaOvpKpuQfKFQ4hREJo/cBvIOBzE/B5CIfDABhTUlon4NtcJBtT4hylEELsmlaj5U8D/szE7Mk8uuRBFpR/zXLvMmaMuoxDCv7Q67+zaTQaUtMySE3LILegmLra6rYLeO7yUtzlpb/uMWpzYpBh9d1COnb7qCNXk+rD9by04jk+3PAeCrTumzL8ItKTdl15i46Rq63qIzlRl67MRyjU0nr11uehqbEBaB2iY7E5sTmySE3L6PVfhn5Lzg91kXyoi1ryEVNifLDhP7yw4lmaI81MzJ7E5WNm4UjdzbrzCag9+YhFowSDfgI+N7XBahSldXXjDNOuVjcWHSUdOxVYUP41Ty17HH+TnwJTIVeOvYbh9hHxDksIIfZJNBolGPAS8Huoq6lGUUCj1WC22rHZXZjMNrRamTMshOi5tBotx/c7kQnZk3h0yYN8V7mQFfPO4qyh5zI1bxr2FHu8Q1QNrU6H1ebEanMSDoda51X7PdTWVFNbU412kxaz1Y7V5sKUaUEjnw+dSjp2+2hPVy+8jV6eXPYYCyu+Qa/Vc/rgMzll4F9I0sk+IF1BLVf3xK8kJ+rSGflQFIWG+lp8VZVUB7zEolEA0jNMW5fBdqI3GDoj3IQn54e6SD7URY35UBSFjzd9yLPLZ9MUaQKg2FzM+KyJ7Jc1gSG2Yei0ujhH2TX2JR/NzY1U+6oI+D00N7X+uxmSksjJ64vNkSWjOTpAFk/pQrv6Jd/Wtn9xxXM0RZoY4RjJlWOvIT+jIA5R9h5q/BDo7SQn6rIv+YhEwgR8HnxVFTQ1tq6GlpxsxOponTdnTEntzFB7BTk/1EXyoS5qzoevycf8si9Z7F7Ecu+PRGKte3CmGdIY4xrHflkTGZe1X0J18zrrwmBjQ93Wz5JKYrEYqenp5Bf2Jz0js5MiTWxS2HWhnf2Sbwyu57EfHmZN4GfSDelcOHIGh/c5UrYw6AZq/hDorSQn6tLRfGzrznk9FQQDXmKxWOtQS4sDhzObdJNZrrTuAzk/1EXyoS49JR9NkSaWVy3je/ciFru/w93gbvtZInXzOjsfoVAL5aUbCPiqALDYnOQVFJGULHs4747MsesmLdEWXls9h3fWvklUiTEt/2AuGTUTq9EW79CEEKJDIpEwAa8Hn/fX7pwxJQW7IxurIwuDQYaTCyEEQIo+hYk5k5mYMxlFUSirK2WxexHfu7/jJ+9yNgQ38Naa13fo5o3PmoAtpXd/P0xKSqZvvyE4XLlsKVlPtb+Kmmofrpx8XNkF6HQ9twiOFynsOslSzxIeX/oIlfUVuFJdXDbmaiZkT4x3WEII0W6KolBfV4OvqnKH7pzF5sThyiE9QzaeFUKI3dFoNBSYCikwFXLSgFNoijTxY9VSFrsXsdi9iP9tmc//tswHEqubty/SMzIZOHQMAZ+H8rKNVG4pwV/lJregCIvNKZ87HSBDMffRutIa/u1+is9L5qHVaPhj/z9x5pBzSTXIXJN46CnDNnoTyYm67CwfkUgYv9eNr6qS5qbtunPOHKx2l3TnupCcH+oi+VCXRMvHzrp52+bmpRvSGeMax/isCart5nVHPqLRCO6KUqoqtxCLxUjPMJFX2I+0dFOXvm5PInPsusgv1eu4+vNraKaGYnM/rh57HQOsA+MdVq+WaB8CiUByoi7b8vFrd66CYMD3a3fO6sDulO5cd5HzQ10kH+qS6PloDDey3LusrZv327l5+2VPYnzWBIZYh6qim9ed+WhpbqK8bCPVfi8ANoeL3Pwi2egcmWPXZfxNPrQaLRcOv4QT+5+sipNOCCF2JxoN46ms3Gl3zmZ3oZfunBBCdItUQyqTcqYwKWcKiqJQWlfS2s2r/I4Vvp/YENzAmz+/1iO6eZ0t2ZhCUf+h1LmCbClZj9/rIRjwkZVTgDM7X/ZH3QXp2O2jRL+a1NNIPtRHchJ/23fnqjw+9DrpzqmFnB/qIvlQl96cj23dvO8rv2OxexGeRk/bz4rN/dgve2K3d/PilQ9FUfBVVVKxZRORcJjkZCO5hcWYLfZe+dklQzG7UG/+o6NGkg/1kZzETyQcxu9z46uqaNsQFk0qeQXZ0p1TCTk/1EXyoS6Sj1Y76+ZtPzdvrGs847MnMD5rvy5diT3e+YhGIlSWb6bKXY6iKGSYzOQV9iM1LT1uMcWDFHZdKN6/5GJHkg/1kZx0r+27c9UBL0pMQavVYrbasTtzqG8wk50d7yjFNnJ+qIvkQ10kHzsXr26eWvLR3NTIltIN1FT70WjA5swmJ69vr1noS+bYCSFEgouEQ/h9nh26c8aUVOzObGz2LPQGAwANjRog/h/MQggh9s7O5uZtK/JW+JazIbieN39+DavRygUjLuaQgj8k1JBFY0oq/QYOpzYYYEvpenyeSqr9VWTn9sHhyu3V8++kY7eP1HL1QrSSfKiP5KTr7Lo758DuzN7p3DnJh7pIPtRF8qEuko+O29bNW1S5kHmb5xKOhRlmH87M0VdQbO6/T8dWYz6UWAxvVQWVWzYTiUQwpqSQV9APk9maUMXs9mQoZhdS4y95byb5UB/JSeeLhEOt+855K3fbndsZyYe6SD7URfKhLpKPfeNuqOTZ5U+zoPxrtBoNRxcdzznDziMjae/2hFNzPiLhMBXlm/F5ylEUMJkt5BX2IyUlLd6hdToZiimEED2coijU1wbxVlUSrP61O2e1u3C4sklLl5UthRBC/CorLZvbJ9/ND57FzF72BB9s+A/zy77k3OEXcmTfo9FqEmfIot5goKBPfxzOHLaUrKc2WM3PNYtxuHLJzuuDXr/rC56JRDp2+0jNVy96I8mH+khO9k04HCKwk+6cw5mD1eHq8IeV5ENdJB/qIvlQF8lH5wlHw/x7/bu8tnoOTZEmBlgGMnP0lQy2DWn3MXpKPhRFoSboZ0vJBlqam9Dr9WTn9cXhykmIC6DSsRNCiB5EURQa6mupcpdLd04IIcQ+M+gMnDLwLxxccBgv/PQMX5R+zuVfXsLhfY7kvOEXYjFa4x1ip9FoNJgtdkyZVrzuLVSWl1C2+Rd8VeXkFfbHlGmJd4hdRgo7IYRQiVgsRsDnwespp7GhHoCU1FTszhys9o5354QQQojt2VPs3DDhVo4uOo6nlj3Op5s/YUH515w19FyOK/5jt2123h20Wi2unAKsjiwqyjbh91byy8/LMVts5BYWYzSmxjvETidDMfdRT2lL9xaSD/WRnOxZKNSC11OOr6qSSDiMRgOZFjvOrLydrmy5LyQf6iL5UBfJh7pIPrpWNBblw43v8crKF6kP19PH1JeZo69gpHP0Th/f0/PR2FDHlpL11NXWoNFqcGblkZ1biE7Xs/pcMhRTCCFUZttWBV5POcGAF0UBvV5PVk4BDlcOScnGeIcohBAigem0Oo7vdyIH5h3ESyufZ+6mj7hm/pVMyz+YC0fMwJHqiHeInSo1LYP+g0cRDPjYUroeT0UZAa+bnPwibI6shJjiIIWdEEJ0o1gsSsBXtcNwy9S0dByuXKx2J9oEGgYjhBBC/cxGC1ePu46ji47jyWWP8d+yL/mu8ltOH3wmJ/Y/mSRdUrxD7DQajQaLzUGmxYqncgvuihJKNq7F6yknr7AfGSZzvEPcJzIUcx/19LZ0opF8qI/kpFWopRmvpwKft4JIOIJGA2arA4crt9OHW+6O5ENdJB/qIvlQF8lH94spMeZtnssLK56lpiVIbnoeM0Zdzn7ZExIyH6FQC+WlGwn4PABYbA5yC4pJVvGoGRmKKYQQcbBtuGWVews11b7W4ZYGPVm5BTicMtxSCCGEumg1Wo7oexRTcvdnzqqX+WDDv7l5wXVMypnCn3IuJ4useIfYqZKSkunbbzDOrFzKNv9Ctd9LTbUfV3Y+rpwCdLqeNYpGCjshhOhk24ZbVrm30NTYAMhwSyGEED1HRpKJmaOv4Ki+RzP7xydYWPENC8u+Z3rjafx54GkY9Yl1YTIt3cTAoWMI+DyUl22ksryEgN/D4OHje1RxJ4WdEEJ0ktbhlltXt4y0Dre02Bw4s3Jl7zkhhBA9TpG5Hw8f+De+KvuCJxc/w2ur5/DZ5rlcPGomU3KmJtTnmkajwebIwmx14Kkspamxoce9PynshBBiH+x8uKWhdbilK5ekpOR4hyiEEELsNY1Gw8EFh9JXO4XPA6/wr1/e4c5vb2WsaxyXjr6C/IyCeIfYqXQ6HTl5feMdxl6Rwk4IIfZCLBol4PdQ5S7fcbhlVi5WmwutVhvnCIUQQojOk6JP5YIRl3B4n6N4+scn+MGzhAvnnc2J/U/m9MFnkWpIvA2/exop7IQQogNatg639O8w3NK5dbilqccN2xBCCCE6osBUyH1TH+bbigU88+OT/N/at/i8ZB4XjZzBQfmHyudgHElhJ4QQe6AoCvW1Qao85TsMt8zOLcTuypHhlkIIIXoVjUbDlNypjMvaj7fXvMFba17nvkX38OGG95k5+gqKzP3iHWKvJIWdEELsQiwaxe/z4PVsN9wyPR2nKw+LzSnDLYUQQvRqybpkzhx6DocVHs4zy59iYcU3XPL5+Rxb/EfOGnoOGUmmeIfYq+xVYdfQ0MD1119PTU0N4XCYSy+9FIfDwR133AHAwIEDufPOOwF44YUXmDt3LhqNhpkzZ3LggQdSV1fHrFmzqKurIzU1lUceeQSzuWfv9C6ESBwtzU14qyq2G26pkeGWQgghxC5kp+dw15S/8n3lIp7+8QneW/8vvir7gvOHX8ThfY5Eq5ELod1hrwq7f//73/Tt25dZs2bh8Xg466yzcDgc3HTTTYwYMYJZs2Yxf/58ioqK+Pjjj3nrrbeor6/ntNNOY//992fOnDnst99+nH/++bz99ts8//zzXHvttZ393oQQcRCNRGhqaqC5qYHm5ibqajUoUR06nQ6tTodOp0en/fV263916LQ6NHHsgCmKQl1tEK97CzVBP4oCBhluKYQQQrTbftkTGOV8mX/98g6v//wPHl3yIB9ueI/LxlzFIOvgeIeX8PaqsLNYLKxduxaA2tpazGYz5eXljBgxAoCDDjqIhQsX4vV6mTp1KklJSVitVnJzc1m/fj0LFy7kr3/9a9tjL7744k56O0KI7hKNRmluamgt4hobaG5qpKmxgVCoZYfHhSPQWN++Y2q12tZCr63w+7X402p3/H9d233bFYc6HVqdvu1n7emsRaNRAj4PXs8WmhobAUhLz8DhypXhlkIIIUQHJemSOHXQ6RxS8Aee++lp/lv2JZd9cTFH9D2K84ZdiNloiXeICWuvCrujjz6af/3rXxx22GHU1tbyzDPPcNddd7X93Gaz4fV6MZvNWK3WtvutViterxefz9d2v81mo6qqao+v6fVqiEb3JtquVVUlQ7LURPLR+ZRYjHC4gVCogXBLA+FQ6+1opBnlN4/V65IxJFkxJKWSlJyO3pBKIAAWc4SYEkWJRYnFIsRiv95WlCixWHTrfREikSjhWJSY0owSi6H87lXaT6vRodFuLfK0erSabbd1aLV6QKGh3kssFkGDhtR0FyZzLknJJsJRDe3409TjyDmiLpIPdZF8qIvkQ106ng8n5/W5g0mZx/Pyusf5YN3HfLnxa04pOp9Dc49Hp9F1SZyJzuHY9c/2qrB77733yMnJ4cUXX2TNmjVceumlZGRktP1cUXb+RWxn9+/qsb/lcOz9l7uulpWl3th6I8nH3lFiMZqbm9o6cNuGU7Y0N/Hb09RgMGAymTGmppGSkkZKairGlDT0esPvjmtM0ex1ThRFIRaLEYtGiUZbC8LottvR1tvb7otFI1t/trV4jEZ//f9ohGishWgkxm+vDxmTDdhdfXA4szHsMNwycX+P5BxRF8mHukg+1EXyoS57k4+srFEcOPBF3t/wb15Z9SKvbXqcbwPvM3P0lQx3jOyCKHuvvSrsli5dyv777w/AoEGDaGlpIRKJtP3c4/HgdDpxOp1s2rRpp/d7vV4yMjLa7hNCdA9FUWjZSQHX3NT0uwstOr2etPRMUlLTMKakbf1vKgZDUrfEqtFo2oZYGtj311QUpbXgi7UWh0oshjElTYZbCiGEEF1Ip9Xxx/5/Ylr+wby44jk+3fwJV//3co4tPp7zh18sm5t3kr0q7AoLC1m+fDmHH3445eXlpKWlkZuby5IlSxg3bhzz5s3jjDPOoE+fPrz88stcdtllVFdXU1VVRb9+/ZgyZQpz585lxowZzJs3j6lTp3b2+xKi11MUhVBLc1vh1rR1HlxzUyOxWGyHx+p0OlLT0n9TwKVhMCQl1AqQGo0GnV6PDj0gi6EIIYQQ3clitHLN+Bs4quhYHl3yIB9seI/vK79j1rjrGe0aG+/wejyN0t6xkNtpaGjgpptuwu/3E4lEuOKKK3A4HNx2223EYjFGjhzJjTfeCMCrr77KBx98gEaj4corr2TSpEk0NDRw7bXXEgwGMZlMPPTQQzsM5dwZr7du795hF3O7936Ymeh8vTEfiqIQDodoaqxvW8CkdVGTRmK/mZiq1WoxpqT+roBLSkrusgKuN+ZEzSQf6iL5UBfJh7pIPtSls/MRioZ47ec5vL3mdWKKwjFFx3HBiEuke7cHDseua6a9KuziQQo70R69JR/hcIiAz0Ow2kdTQz3R3xRwGq0Go3G7Ai4lDWNqKsnJKd3egestOekpJB/qIvlQF8mHukg+1KWr8rE2sIaHFt9HSe1mXKkurh53HWNc4zr9dRLF7gq7vRqKKYTofrFolGC1j4DPQ21NAEUBjQaSjamYflPAGZNT4ronnBBCCCFEewy0DuLpQ59v695d//Usji46lgtGXEKaIS3e4fUoUtgJoWLbNs0O+NwEA762zlxaegZWuwuLzdltC5kIIYQQQnSFJF0S5w67gP1zDuChxffx0cYPWOxexNXjrmOsa3y8w+sxpLATQoWaGuvx+zxU+6raNvxOSk7GkZWLze7CmCJXsIQQQgiRWAZYBzL70Od4/ed/8Naa17jh62s4qu8xXDhyhnTv2kEKOyFUIhRqodpfRcDnobGhHgCdXofdmY3V7iI9IzOhVqgUQgghhPitJF0S5ww7n/1zD+ChxX/l400ftnXvxmXtF+/wVE0KOyHiKBqNEAy0zpurq63eOm9OQ6bFhs2eRabFJnusCSGEEKLX6W8ZwOxDnueNNa/y5s+vcuP/ruXIvkdz4cgZpBvS4x2eKklhJ0Q3UxSF2prqrataeolFW/eUS8swYbO7sFgd6GXenBBCCCF6OYPOwFlDz2VKzlQeWvxXPtn0UVv3bnzWhHiHpzpS2AnRDRRFoamxgYDPTcBfRTgUAiDZaMSanYXV5sSYIvu2CCGEEEL8Vj9Lf5465DneXPMab/z8D27633Uc0fcoLhp5qXTvtiOFnRBdKBRqIeDzEPB5aGpsAECv1+Nw5WC1u0hLN8m8OSGEEEKIPTDoDJw59Bym5O7PQ4vvY+6mj1ni/p6rxl7HftnSvQMp7ITodNFohOqAl4DPQ31tsHXenFaD2WrHZndhMsu8OSGEEEKIvVFs7s+TBz/b1r27ecF1HN7nSC4eeSnpSbvevLs3kMJOiE7QOm8u0DpvLuAjFmudN5eeYcJqz8Jic6DXG+IcpRBCCCFEz/fb7t2nmz/hB8/iXt+9k8JOiL2kKAqNDfUEfG6q/VWEw2EAjCkpWG0urHYXycaUOEcphBBCCJGYis2tc+/eWvM6r/88p9d376SwE6KDQi3NBHwe/D4PzU2NAOgN+rbNw1PTMmTenBBCCCFEN9Br9UwfchaTc6bw4Nbu3RJP69y7CdkT4x1et5LCToh2iEa2zZtzU1dbA4BWq8Vic2C1uzBlWmXenBBCCCFEnBSZ+/HUIc+2de9uWXA9hxUeziWjZpKRZIp3eN1CCjshdkFRFGqDAfw+NzXV/rZ5cxmmTKx2F2arzJsTQgghhFCL7bt3Dy2+n89KPmVp1RKuHHstE7MnxTu8LieFnRA7UVcbZEvJehob6gEwpqRitbuw2pwyb04IIYQQQsWKzP148pC/839r3+TV1S9z64IbOLTwD8wYdVlCd++ksBNiO81NDWwp3UhNtR8Aq92JMytP5s0JIYQQQvQgeq2e0wafwcScyTz0/X18XjKPpZ4lXDn2GiblTIl3eF1CJgUJAe4mgJcAACAASURBVITDIUo3rWP1T4upqfaTYcpk0LAx9O03RDYRF0IIIYTooYoyi3nykL9zzrDzqQ3VcNs3N3H/9/dQF6qNd2idTjp2oleLxaJUubfgLi8lGo1iTEkhN7+YTItNijkhhBBCiASwrXs3KWcKDy++ny9KPmOpZwlXjb02obp30rETvZKiKPh9HlYt/57y0k1otBry+/RnyPDxmK12KeqEEEIIIRJM38winjj4Gc4ddgF1obqE695Jx070OnW1QcpLN9BQX4dGq8GVk09WToGscCmEEEIIkeB0Wh1/GTydSTlTeGjxfQnVvZOOneg1mpsa2bBuJetW/0hDfR1Wu5OhI/Yjr6BYijohhBBCiF6kT2Zfnjj4Gc4bfuGv3btFd1PbUhPv0PaadOxEwouEQ1SUl+DzVKAoCukZmeQVFpOWnrjL3QohhBBCiN3TaXWcOuh0JmZP5uEl9/NF6ef8sHXlzCm5U+MdXodJx04krFgshruilJXLF+F1l5OUbKRowFAGDBklRZ0QQgghhABau3d/O+hpzh9+EQ3hBu749hYe/P6vxJRYvEPrECnsRMJRFIWAv4rVy7+nvHQjGjTkF/ZjyIjxWKwOWRhFCCGEEELsQKfV8edBp/HMYS8wyDqY/5XPpzHSGO+wOkSGYoqE0twUZO2q9b8ujJKdR1ZuocyhE0IIIYQQe1Ro6sMTBz9Dc7SZFH1KvMPpECnsREJobm6kvHQj3iofBj1YbA5y84tINvasE1IIIYQQQsSXRqPpcUUdSGEnerhIOExl+Wa8VRUoMYVko4n+A4tJz8iMd2hCCCGEEEJ0GynsRI8Ui8XwesqpLC8hGomQnGwkt6CI5pCT9Ix4RyeEEEIIIUT3ksJO9CiKolAd8FJRupH/b+/eY9u4EnOBf2eGpKgHSYkSKVm27NiOH4mfcZJN46y3CbLZRYJF6wXioAmKtkD+2G2CLYpmmwS5LhZFi9pN4CC726C7N7vB5hZo4UJbLNKgiHMX1wE2N04WXe31xo4dv2XrQZGUKFIvio859495cPiSZEk2h9L3AwQO55wZzvCInPnmzAxnZ9NQXS6s27AZoc61UBQFkYgAIGu9mEREREREtxWDHdWNyYkkBq5fxtRECkIRCK9ZhzW8MQoREREREYMdOd9segaDN64gMRoDALQGO7B2/SZ4vU01XjIiIiIiImdgsCPHyuWyiAz2IzoyCKlJNLf4sG7DnbwxChERERFRiUUHu3fffRc/+clP4HK58Bd/8RfYtm0bXnzxReTzeYRCIbz22mvweDx499138c4770BRFDz11FM4dOgQstksXn75ZQwNDUFVVRw5cgQ9PT3LuV5Ux8wbo0QG+5EzbozSvX4Tf1yciIiIiKiKRQW7RCKBN998Ez//+c8xPT2NH/7whzhx4gSeeeYZPP7443j99dfR29uLgwcP4s0330Rvby/cbjeefPJJPPbYYzh58iT8fj+OHTuGjz76CMeOHcMbb7yx3OtGdUZKifFEHIPXL2M2nYbqUrFu/SaEutZBUZRaLx4RERERkWMtam/51KlTePDBB9HS0oJwOIy/+7u/w6effopHH30UAPDII4/g1KlTOH36NHbt2gWfzwev14t9+/ahr68Pp06dwmOPPQYA2L9/P/r6+pZvjaguTU2mcOHz3+LKhbPIzM4i3LUWO/c8gM7u9Qx1RERERETzWFSP3cDAANLpNL797W8jlUrhO9/5DmZmZuDxeAAA7e3tiMViiMfjCAaD1nTBYLBsvKIoEEIgk8lY01cSiwnk84tZ2lsrGuWpgUuRy84gMXoFU5NRAEBTcwfa2jfD7WlCfPTm58f2cB62ibOwPZyF7eEsbA9nYXs4C9vDGUKh6mWLvsZufHwc//RP/4ShoSH8yZ/8CaQs/HaYfdjuZsfbhULO/W2yri7nLptTSU1DZPg6osP9kJpEa6sPa9dvhs/fatZY9LzZHs7DNnEWtoezsD2che3hLGwPZ2F7ONuigl17ezvuueceuFwurF+/Hs3NzVBVFel0Gl6vFyMjIwiHwwiHw4jH49Z00WgUe/fuRTgcRiwWw/bt25HNZiGlnLO3jlaWmekpXLtyDtOTk3B7PFi3fjPa2sO8MQoRERER0SIt6uKlL3/5y/jkk0+gaRoSiQSmp6exf/9+nDhxAgDwwQcf4MCBA9izZw8+++wzpFIpTE1Noa+vD/fddx8eeughvP/++wCAkydP4oEHHli+NSLHklIiMtiPc2f+G9OTk2gPdeLu3fcj2NHJUEdEREREtASL6rHr7OzE17/+dTz11FMAgMOHD2PXrl146aWXcPz4cXR3d+PgwYNwu9144YUX8Oyzz0IIgeeffx4+nw9PPPEEPv74Yzz99NPweDw4evTosq4UOc/M9BT6r5zH1OQE3B4P1m/cita2jlovFhERERHRiiDkQi5wc4BYbKLWi1BRJCJ4vvEcpJQYGb6BoYGrkJpEsKMTPXfcCZfLfUtej+3hPGwTZ2F7OAvbw1nYHs7C9nAWtoczhEK+qmWLvnkK0XzSM1O4dtnopXO7sf7ObWgNspeOiIiIiGi5MdjRspNSIhoZwNCNq9A0DcGOMHo2bIHLfWt66YiIiIiIVjsGO1pW6Zlp9F85j8mJFFxuN+648y60Bef4wQ0iIiIiIloyBjtaFqW9dG3tIfTcsQVuN3/GgoiIiIjoVmOwoyVLp6fRf/kLTE4k9V66zdvR1h6u9WIREREREa0aDHa0aFJKxEYGMXj9CjRNQ2uwA+s3bmUvHRERERHRbcZgR4sym55B/5XzmEgl4XK7sGHzdrQFQ/yhcSIiIiKiGmCwo5ui99INYfDGZWh59tIRERERETkBgx0tmN5L9wUmUuNwuVzYcOc2tLWH2UtHRERERFRjDHY0Lykl4tEhDFy/Ai2fR6CtHRs2boXb01DrRSMiIiIiIjDY0TxmZ9O4fuULpJIJqC4X7ti8HcGOTvbSERERERE5CIMdVaT30g1j8Ppl5I1euvUbt8LDXjoiIiIiIsdhsKMymdk0+q1eOpW9dEREREREDsdgRxYpJUZjEQz0X9J76VqDWL9pG3vpiIiIiIgcjsGOAACZzCyuX/kCyfExqKqKDZu2oT3UxV46IiIiIqI6wGC3ylm9dNcvIZ/Lw9/ahg0bt8HT4K31ohERERER0QIx2K1i5b10W9EeWsNeOiIiIiKiOsNgtwpJKTEWH8GN/kvI53LwB9qwftM2NLCXjoiIiIioLjHYrTLZzCz6r15AMjEKRVWxfuMWdIS72UtHRERERFTHGOxWCSklxkajGLh2EblcDj5/KzZs2oYGb2OtF42IiIiIiJaIwW4VyGYzuH71AsbH4lBUhb10REREREQrDIPdCialRGIshhvXLiCXzcHnD2DDpu3spSMiIiIiWmEY7FaYbDaDiWQCqeQYJpLjyGRmoSgKeu64E6HOteylIyIiIiJagRjs6pym5TGZSiKVSmAimcD01KRV5nK7EewIY826O+D1NtVwKYmIiIiI6FZisKszUkrMTE8ildSD3OREEpqmAQAURYE/0AZfoA3+QBsam1rYQ0dEREREtAow2NWBTGYWqfExTKQSSCUTyGWzVlljUzP8rUH4/W1o8QWgqGoNl5SIiIiIiGqBwc6B8vkcJlLjxrVyCaRnpq0yt8eD9lAnfIEg/IE2uN2eGi4pERERERE5AYOdA0gpMTWZ0oNcKoGpiRSklAAARVUQaA0ap1cG4W1s4umVRERERERUhMGuRmbTM0glx/Rr5VLjyOdyAAAhgKZmnxXkmlv8UBSlxktLREREREROxmB3m+RyWUykxo2fIUhgNp22yhoavGgLhvQbn/jb4HK7a7ikRERERERUbxjsbhFN0wqnVybHMD01AePsSqiqitZgh3UHy4aGRp5eSUREREREi8Zgt0yklEinpzExnkAqNYaJVBJaPg9AP72yuSVgBbnmFj+DHBERERERLRsGuyWQUmJqIoprU/rplZnMrFXmbWy07lzp87dCVflWExERERHRrbGktJFOp/GNb3wDzz33HB588EG8+OKLyOfzCIVCeO211+DxePDuu+/inXfegaIoeOqpp3Do0CFks1m8/PLLGBoagqqqOHLkCHp6epZrnW6beHQIsZGLcLsAl9uFtvYw/MaPg3savLVePCIiIiIiWiWWdLvFf/7nf0YgEAAA/OAHP8AzzzyDf/3Xf8WGDRvQ29uL6elpvPnmm/jZz36Gf/mXf8E777yD8fFxvPfee/D7/fi3f/s3fPvb38axY8eWZWVut7ZgGO2hrbhr173Yve8hbNpyNzrCaxjqiIiIiIjotlp0sLt8+TIuXbqEhx9+GADw6aef4tFHHwUAPPLIIzh16hROnz6NXbt2wefzwev1Yt++fejr68OpU6fw2GOPAQD279+Pvr6+pa9JDbjcbvgCa9HU7OM1c0REREREVDOLPhXzH//xH/E3f/M3+MUvfgEAmJmZgcfjAQC0t7cjFoshHo8jGAxa0wSDwbLxiqJACIFMJmNNX0ksJmDci8RRolEGOidhezgP28RZ2B7OwvZwFraHs7A9nIXt4QyhUPWyRQW7X/ziF9i7d2/V6+KkeV//JY63C4Xmr1MrXV3OXbbViO3hPGwTZ2F7OAvbw1nYHs7C9nAWtoezLSrYffjhh7hx4wY+/PBDRCIReDweNDU1IZ1Ow+v1YmRkBOFwGOFwGPF43JouGo1i7969CIfDiMVi2L59O7LZLKSUc/bWERERERERUXWLusbujTfewM9//nP8+7//Ow4dOoTnnnsO+/fvx4kTJwAAH3zwAQ4cOIA9e/bgs88+QyqVwtTUFPr6+nDffffhoYcewvvvvw8AOHnyJB544IHlWyMiIiIiIqJVZtl+XO073/kOXnrpJRw/fhzd3d04ePAg3G43XnjhBTz77LMQQuD555+Hz+fDE088gY8//hhPP/00PB4Pjh49ulyLQUREREREtOoIuZAL3BwgFpuo9SJUFIkInm/sIGwP52GbOAvbw1nYHs7C9nAWtoezsD2cIRTyVS1b0u/YERERERERUe0x2BEREREREdU5BjsiIiIiIqI6x2BHRERERERU5xjsiIiIiIiI6hyDHRERERERUZ1jsCMiIiIiIqpzDHZERERERER1jsGOiIiIiIiozjHYERERERER1TlXrReAiG6elBITqSRSyXE0NTXD39oKl8td68UiIiIiohphsCNyoGw2g7HROBLxGMZG4xgb1R8TtuFcNls0TXNLC/yBNgRa2+Bv1R8DrW3wB1qLhr2NTRBC1GjNiKhWNE1DNpPB7GwamcwsMrOzyGQyyGRmkZ2dtY2bxeysPpzP5wEpoUkNgH5QSWoapDEMKaFptjLbH2Ar0yQkZGEaqUFKGGWaPg3M+RWmL5qfhL4cRa8BKIp+8pFQFAgIQOjj9O85ASEEFEUAQkBA6PWFgBCAgIAwpleEgqlpBS0t0pinPq0QAkLRp9WH9XkLoOS5Xs9cFkUoaGxqQrA9hGBHCO0dITQ2Nd+Gliai1YrBjug2M3vb9KBmBLd4rOj5RCpZdfoWnx/da3sQ7AjBH2jDzPQUUslxJMcTGE+MYXjwxpyv73Z7rJBnD4D28OdvbYPPH7B2mIjo1tI0rShYlYauQhjLFMpn03odK4wV6mSNOrNmncxs2cEgKpfNAu5bePJDY2MTgh160Au262FPD31hBDtC8PkDPPBGRIvGYEe0zDKZDBJjN9fbZnK53WgLtmNtzwa0tXcg2N6hH+1t70BbRwhtwQ54PJ45Xz+bzSA5nkByPIFUchwpc3h8HMmkOT6Bq5cvWEe8KxFCwOcPVA2Bfqs3MDjvMlHtSSmRy2UxPZXBaHwas2kzFKSRTs8YQUEPArPptB4IjHHp9AxmZ9NWb89segazaT1MSCn1HhFVsXo/FKFAKHrPiDVOERBCsXo4FFGoCyGgqnoPidnTYj5avSFCQFHUot4XVVEBIYrmJRSzl0WBoii2Hh+9V0gze4c0DZqtx0nCGKfpdTVNK+ohMqfTH81hW++TVjJ/o0fKXl8aPVGalreWa2oqC2B5Q5cQAp6GBng8+l+gtRkejweeBm9hfIMHHk8DGhq88Hga4G5oMOrYxnk8cLlcVk+XECjq3RJCWD1fZjsC9t4yWG1ZmIfeo2b1hAnFNgwIoVjzKHpdUdyzZr6u/r9t9PrZewQ1ew+g2aOot0mh19HWI2jUj0aBjva89d1otimMHkVNM8bbp9eM+dpfT0poUmJ6ahKj8SjG4jGMxmMYi8cQj41g8EZ/xbZzud36935HCO3tYaunr814bG1rh6qqy/a/QkQrC4Md0U1Yam+bzx/A2nXr0WaENf2obYf1vMXnX3IvmdvtQUeoEx2hzjnraZqGyYmUEfoKQdAMfmY4HBkexI3+q3POq7GxqSj82U//zObbkMsE4A+0Lsv6rQZSSqRnppFKJTGbnkE6nbZ6bWZnZzFrBLFZo9cmnZ6xQtpsOm2EtlkrnJnBTUq55B4JVVXR4G2Ex+NBY1MTFEUtBBV7cMlL2IOQeXqdFYry9jClzXmQwYn0UGEEUCvAGgFUKBXCrLCFXLVQ1+WD3+8xwlYDGqzgZT56rRBWqOOFx+MxwlhDUYjzNHjgcrnZ67NIEgJdXbf2f1FKiempKYzFo1bYG41Hje1JFGOjMUQjwxWnFUKgNdhu9PSFEWzvsIbbO0Joaw/xQBvRKsZgR1RBNpvB5QvncfnCOYzGY0iMxjEajyIxNjpnb1uwvWNJvW23k6IoehgLtAIbNs5ZN52eKfQC2h+Thd7AVDKBkchQ2bT2ICGEQIvPD58/YL22OewLtMLvDxg9gQG0+AIr6sh0JpPBRGocE6mU9TiZSuo3wUklrWHzL5/PL/q1zB4br7cRnoYG+PwBvXfG60Uu70VbUA8GerkXDQ16mTXcYAx7bcPGeNV16zYbhd4TzegFM6/FKg6C5T1vhbr23rV8Pl/o+bP1HFm9gkYAK/QYmWVGKLP1OJq9Uvb6yyESufVBgpxFCIHmlhY0t7Sg545NFevMptP6GR7xGMZGY7YAGMNYPIrLF87h0hfnKk7r8weMA4fholM924wQ2NTccitXj4hqiMGOCHrv1eCNfpz77P/h/Nnf4dIX55DNZorqzNfbtpKvjfB6G+HtakRnV/ec9XK5LCZS9l7AMQzcSEFA7wnUA00SY6MxDA1cn3NeQgDNLT74/FUCYKAVvkAA/kAbfH7/bb8raD6fx+REChNGKEuVBLOJVFIvTyYxMZHEbDo97zw9Hg98/las27ARfn8rWvx+eBsb0dDgNQJWIayZPTdm71mD12s8987ZY+PkIGEFJkXByon0RDevwevFmrU9WLO2p2J5LpdFYmy0KOyZZ5CMxqMYuNGP/quXK07rbWw0ru/Tw16gtQ2tbUHrFPvWtiCaW3w8u4KoDjHY0ao1Fo/h3JnTOHf2NL44+xkmJ1JWWfe6HmzfsQfb7t6Fzu61juttcyqXS79GsC3Ybo2rFiSsHqyk/rMNKdvwRGrcuD5wfEE3hAGApuaWQgBsbYXfbw+DegD0+wPwBQJwu8vb0jw9yupNm0gilUzaetmS1rjJiSSmJifnXSZFUeALBBAKd8HnD8DnD+g9lkY4bfH7rQDn8wXQ4PXOO08iIpfLjVC4C6FwV8VyTdOQSo7rZ5oYZ5zYr/MbjUfnPLimKEpR0Au0BhkAieoAgx2tGtNTk/ji3BmcP3Ma58/+rugahkBbG37vyw9j+47d2L5zNwKtwRou6erg8XjQ3hFGe0d43rrZbAYTqZQV+uxhMJXUn+u/65dAZGhg3vk1NjbBZ5zumZlNWz1s5k0WqrH3InavW2+EtVb4/H7rscUXsE4lbWpuXrG9uETkXIqioLUtiNa2ILClvNw8kJUYiyOZGLNOtU8aZ1qMG+MG+q+i/8qlOV+HAZDIORjsaMXKZjO4eukCzhlBrv/KJesGDQ1eL3bdcx/u2rkH23fsRlf3Ou6AO5jb7TGuWeyYt24+l8PERAqpZAITySSSZg/g+LgV4FLJBFLJJGIjw/A0eOHzB3DHpi1lPWi+QAA+o4fN5w+gucW3oq77I6LVyX6d37r1d1Stp2kapqcmraBXHALHrJ/ZYQAkcgYGO1oxpJSIDPbjzG9P4/yZ07h4/iwyGf06OSEENt65DXft3I27du7BHZu23NKbQFDtqC5X4Uj1PMxb9RMRUTlFUdDi86PF569JANRkCwIBFarqgqqqUF3Go1p9nKIqhbI5plPK5qOWTaeoKrcRVFe4Z0t1LTE2qvfIGb1yY6NJ6w6Ma9b2WKdWbtm+A42NTbVdWHIcbrCJiJbuVgXAW/2D8QshhLAFw+KA2OBt0K/ftt3lOdDapl9HbfzxZ37odmKwo7oyMz2FC+fOWmHOfnt9f6AVe+/7fdz3e7ux7e7dRTfwICIiotq62QDYf20awWAW+Xwe+XxOf8zpw5qm6eNytjKznm2cppnT2OvpdTRzuGReWpV5lY5LjE5iaGDum3sJIYp+4se8u7P5m69mWaA1yOuyackY7MjRcrksrl66aPXIXb18wbpOztPQgJ1778X2HfrplWvW9mBkRHHsrdyJiIhofmYAbA8FHL9Nz2Yz1k28UslxJMfHkEoljd93Nf8SiEUjGLh+bc55qapaCIGtbcVh0N8Kf6sRCP0BeBubGAKpDIMdOYqUEsODN6wbnlw4dwaZ2VkAxnVym7cap1fuwcY7t9z23y4jIiIiMrndC7/D82w6bd3NOTWu38TLDH5mCJxIJjE0eAPXr12Zc14utxuBQJvxcz5mADTDYMC6TrEt2MFTQVcRBjuqufHEGM6fPY1zZ36H82dOI5Uct8o6u7qxfece3LVzD7betQONTc01XFIiIiKixWnwehHyVv/9QZOUEun0jNEDmMBE0t77ZwZAvezGtSvI5/NV56W6XPpvHnZ2obOrG+GuNQh3dSPc1Y1AaxtD3wrDYEe33UQqiYvnz+LCubO4cO5M0Y9P+/wB3P/gAatXbiG3tyciIiJaKYQQaGxsQmNjEzq7uuesa/4mYXJ8zPg5n0KP4NhoHLGRYUQjw4gMDeCzkmndbg9CnV160DMeQ11r0NnVDX+glad61iEGO7rlJlJJXPric3zx+RlcPH+m6EJjj8eDHbvvwXbj9+S6163n0SMiIiKiBbD/JmE1UkpMTqQQNUJeNDKE2MgwRoaHEB0ZxtDA9bJpGrxehDvXINy1BqFOvZdPdXWjuakLLT4/Q59DMdjRspucSOHi+bMVg5zb7cH2Hbux9a6d2Hr3TmzYuJnXyRERERHdIuadOX3+ADZv2V5UJqVEKpnASGQYMSP0RUciiEaGMDw0gBv9V6265s9PNDY22U7p1INfZ1c3Qp1r5gyYdOsx2NGSTU5O4OK5M9aplfYjP0VB7q4d2LDpTgY5IiIiIgcQQiDQGkSgNYit23cUlWmahvHEmNXDd+niMGamhhAbiWDgRj/6r14um19zS4t+SqcR9vQAqIdAr7fxdq3WqsVgRzdtcnICF8+fxUUjyA3e6LfKXG43tu/QfxDcDHJut6eGS0tEREREN0tRFATbOxBs79D37e4W1s9PaJqGsdGYdWqneZpnbGQY/Vcu4eqlC2Xz8/kDhZ4+22meoc4uhr5lwmBH85qanDRudnKmYpDbdveuoh45BjkiIiKilUtRFHSEOtER6sTdu/YWleVzOYzGY0XX8UUjQ4hGhnHl4he4fOF82fxafH6EOrv0oBfuRCjchY5O/Q6iPn+A1/Qt0KKD3auvvorf/OY3yOVy+Na3voVdu3bhxRdfRD6fRygUwmuvvQaPx4N3330X77zzDhRFwVNPPYVDhw4hm83i5ZdfxtDQEFRVxZEjR9DT07Oc60VLYAW582dw8dxZDN64BuM3wa0gt+WuHdi6fSfu2MwgR0REREQ61eWyTsHcsWdfUVk2m8FoLKr39I0MIzYSQTwaQXSOnr4Gr1cPesbPNoTCnVZPH3+nr9iigt0nn3yCixcv4vjx40gkEvjmN7+JBx98EM888wwef/xxvP766+jt7cXBgwfx5ptvore3F263G08++SQee+wxnDx5En6/H8eOHcNHH32EY8eO4Y033ljudaMFmpqcxKUvPrf1yBUHuS3b9d64LXftxMbNWxjkiIiIiOimud0edHWvQ1f3urKyfD6PsdEY4tERRCPDiEcjiEUjVs/fwPVrZdOoLhc6OsJW714o3IVQl/7YHgqvun3WRQW7+++/H7t37wYA+P1+zMzM4NNPP8Xf/u3fAgAeeeQRvP3229i4cSN27doFn88HANi3bx/6+vpw6tQpHDx4EACwf/9+vPLKK8uxLrRAU5OTuHzhHL74/DMGOSIiIiKqOVVVrXB21849RWXm3TtjIxFEjV6+2IgZ/CIYiQyVzU8IoLWt3Ti9Uz+1M2wEwI7OLjQ2Nt2uVbttFhXsVFVFU5P+ZvT29uIrX/kKPvroI3g8egBob29HLBZDPB5HMBi0pgsGg2XjFUWBEAKZTMaavpJYTCCfX8zS3lrRqPPP+Z2ZnsS1K5/j6sUzuHrpDCJD1yCNJOdyudFzxw5svHMnNt65Cz0btsBlC3Kjo7Va6sWph/ZYbdgmzsL2cBa2h7OwPZyF7eEstW0PAaAdLYF2tAR2YNPW4tKZ6UmMjUYwGhvGWDyCsdEIxuIjGItHcPZ3ZwCcKZtjU7Mf7aEuBNu7EOzoQnvHGgQ79OHmFude1xcKVS9b0s1TfvnLX6K3txdvv/02vva1r1njzdBQ6mbH24VC89epFfMOQbVm3qFoePAGIoMDGB4awED/VQxcv2r1yKkuF+7aeZfxO3K7qvTIOWN9Fssp7UEFbBNnYXs4C9vDWdgezsL2cBbntkczNm7aDGBzWUkmk0E8GkE8OmL18JnX9UWHLyEyWPm6vo2bt+L57/6PuvqZrkUHKTU6CQAAEyhJREFUu1/96lf40Y9+hJ/85Cfw+XxoampCOp2G1+vFyMgIwuEwwuEw4vG4NU00GsXevXsRDocRi8Wwfft2ZLNZSCnn7K2jYvlcDrFoRA9wQ4PG4wAiQ4PIZjNFdVWXC3duu9u4a+VO3LF5K99rIiIiIloVPB4PutetR/e69WVl+XweibE44sYpnrGoEfoiw5iZnoKW1+rqNwQWtagTExN49dVX8bOf/Qytra0A9GvlTpw4gT/8wz/EBx98gAMHDmDPnj04fPgwUqkUVFVFX18fXnnlFUxOTuL999/HgQMHcPLkSTzwwAPLulIrRSaTwcjwoB7aBgcwNHgDI8ODGBkehKZpRXX1i1HXoqt7Hdas7UFX91qsWduDULgLqquO/iOJiIiIiG4DVVWtn23YXnJdXz1a1B7/f/3XfyGRSOAv//IvrXFHjx7F4cOHcfz4cXR3d+PgwYNwu9144YUX8Oyzz0IIgeeffx4+nw9PPPEEPv74Yzz99NPweDw4evTosq1QPZqZmcbI0CCGzJ63wQEMD93AaGwEpWepehsbsWHTnXqA616HrrV6kAu2h3i7VyIiIiKiVUrIhVzg5gCx2EStF6GiSEQs+HzjyYkUhgcHEBm6geGhAetauPHEWFndFp8fa9aus3rg9BDXg0Brm2Mv5nSCm2kPuj3YJs7C9nAWtoezsD2che3hLGwPZwiFfFXLeI7eMpNSYjwxhpGhgUIP3NAAhgcHMDmRKqvf2hbEXTv36D1v3evQ1d2DNWvXocXnr8HSExERERFRPWKwWwJN03Dh3Gl89pt+DFsB7gbSMzNF9YQA2kOd2Lh5q3Xq5JrudejsXrsif0ODiIiIiIhuLwa7Jfi/H/5v/K//+WO4jbugKoqCzjVr0blmLbrX9qDLOJWyc81a3omSiIiIiIhuGQa7Jdh73+8hHsvhjk1B3oGSiIiIiIhqhilkCXz+AB78/W/wQlIiIiIiIqop3h+fiIiIiIiozjHYERERERER1TkGOyIiIiIiojrHYEdERERERFTnGOyIiIiIiIjqHIMdERERERFRnWOwIyIiIiIiqnMMdkRERERERHWOwY6IiIiIiKjOMdgRERERERHVOQY7IiIiIiKiOsdgR0REREREVOcY7IiIiIiIiOocgx0REREREVGdY7AjIiIiIiKqcwx2REREREREdY7BjoiIiIiIqM4x2BEREREREdU5BjsiIiIiIqI6x2BHRERERERU5xjsiIiIiIiI6hyDHRERERERUZ1jsCMiIiIiIqpzDHZERERERER1jsGOiIiIiIiozjHYERERERER1TlXrReAaFlJDVLmAJkHkK/yWFwuoc1RNw9AFP8JUT7O+gMglMKwdexEGONh1RVmmRDF9YrGl/5VmMZaTnOZNcg511+vU6lMFr1Hpe+LVvI6pdPkK0yThy+rIBdVAKEay6wa70VhWFjjjDrmsDWNMme5qDqNWvxY4bUBCUipP0IznmvFz6EZdUqf28dJY71RNh9ZNl9pvJeoOk1hvuY6mY8uQKjGe+YyxtserbrFZcJ4VDQXZLZknkV1XRCCx/xuhpTSHLKPnWOcOSwBKSA1zRinFZdBGpPY/9dQqFv0uuaffd7259oCyivNe5GEqFYw10SLeSHon3HzO1FA/1+2Py8tN78vzHG2cqlCSkBUXX4iIudisFsCmU/Am/8/yKfysO88Fu1kQlTYOVWKx1WpL8p2QAX0nTqB8p1Uc56iZLyAvsHWbDvd5g66fVzeVi9fNI2sWp4vmWfJvIxxlae3TVMWTMzAkLPNa56gYjwGshL5yLI1MS2YPSjYApZQoe9A5gA5i+L/lcL/0hJ3IZc8vSNJCWhS/7wLlO0oL3adfTkgH5+vliiEvaK2dJU8mt85paEChXHSPk6rXAeoEFLsw/Z5lY6vME5Wmg9K6lZ6NJ+ay6QBmqa3gwZAkxCaNMZpgAbjeeFPaMb0OT04Fcrt0xfGhXKA4kahjY1HqaDQ5gKAYpRBFI7plI4zp4deX5bMs3CMSB+WojCvonqKPk9pvrw01qnio/EemO+b1cSFekLq62691ZqtjczpreYz6ll17OXlr120TortfTPfG+NRf6+MdTOGpW3YrNuWB7RxAShG2FNUQFEghQKoxnZWEYBibItFpRBpD43zHAwU5oG+hRxABKoeOLTCqe25OSyUyuOt17GzvVbRcEmdoteqUG6MF2Xltukqhufi1/bkAW2yZL5lr126zHMtZ6W65ns7X50KryEEKr8HpeuzkLJFzqdiG9qVHsQxH6scfJqjrlsDtJkK37+y0vwqjKs4b1SoX1JWcfuAkrpVyioum/ls7vkKNQjR+JW6OtBT02D3D//wDzh9+jSEEHjllVewe/fuWi7OTZOJ/0bgw5/CrWklG1Czhij5TrBtpAUgK5WXfT5LNsaAtbEtqm8fZ3+uCH2DZgzbN/5lGzoAUrVt5IQAVGO8fVqlUC4F9DqivGx5lPZWmDuZbkB4y8bnci54PErlaao8innrwQgjAIqObEvbF0bpDmhJvaLxhS8QaT+KLm3D9l6gqmXG+KJeKVflddIbyhiu8P4YBwcElOJ6Vlnp/GwHJ6TQv/TsR/htw6OTQHObBmG+h9LYMTbqyLwR8GQekDm9nswBmhECtZz+Zx4ssJUJmQe0nNFDqQH5vFFeOMggzPmUzldqgJaH0DR9JzyvQeSMnficBpHXxyEvIfL5Qp28BuQ0o35er28Om/Mwh/N5Y176c+TyVj3kzeHiccjljfpmb7HxXto+r1JVjM+zgFSUwmfY/Lybn0ljvDSeS1UgmwPcXhjfAShkMwFAlda/ilSkbR4SUkjj30ECQhrlZpvqf8L6iNh28I1/V2H/19ektXNeNt6cRtNnKMzjAEBhZ9+oZwUGc2ffFiqsgGUsizCCGKxgZh9ntLNZP19YvrmJCkMLnwbQm10t6yCda4e3tPhmdwaXq/68b85tUroclXfgUHZgoPKwpsHIQdXrFA0WZTjj8wlY285CkDTGW9tI+59RLmzlKNle28IngMKwue0uKptjWtu+QaX9/8LbJ8vLzPEV32LbZ7LSPIr2m2Xlt9Q6oFJYtGYNUIQsqTfPMqKkvMK/grjZaSv+79iV76uZKyFL99VK99Mq7ecBxW1k/k+I8umksM2s5H+qfDFLRpbWmfPrQcCbB1Rzt2ieutXLSobNuuaBGXN6RZStj7Tvn9oPZpn7o6J4XNn+qn08UJgHbPu55vusCOQ7GiEfvh8QTXOsrLPULNj9+te/Rn9/P44fP47Lly/jlVdewfHjx2u1OIvi/WQanrcScLnsO+BAhW8f21RzlBUdVZirbkmdiq9ZOizKH+1fBlZZtee2DUa1+ZXWE4p+1FNRjJ1P40imYhzxFPYjm7blkbbXlhXWp9opQlIikwE87soBo9J0olL5PNPMa85p5iibY71u6nWdsr9laM4Cbnetl8IBFAGoLkiXC3C5AFWFdLkBdyOk1xyvFtdRjC2oZgRAzQh/mhFMc8Y4TQ+p0PQQKWaNwGmMg6ZB5IzTa2cl3Ko297LecqXfNUtg9bgYPRZCGD0sxrBq9CIrwnjPFds4RX+vFWMas3dGVa3vLvP7yhonjOkV/VGa32VF44zpVLVs3rDNWyoKkkmBQEDq7QgUegPNYSltf5r+nWUdHEGhzDpYUjKv0nJzO6PJknnJ4rowHs33Fii8J+aw8R5La0ep8P5bbVHaHqJ8+kIbGvMqacvSeQHQ32OTlLbPgVZYHy1vhHXNFuj1z44orZvPA5CYSkm0NFWeV/Hr6O1hfb4q1EW+uL2ErR3L3ndNg2KWaSV1UKgriqaz/a8UqbQRWOi4aha6HVre18jl9a/FsjBksoenovFVAkxpmKpUyV4HsmResvBaZrkZFIt6lG37E+Y+Wsk4UVQPFbb18z2vNq6aucLWwr6P8zkBdd7kMN+8bua7fzHbiSXMv2xSFeNf0oCWRSxGjdQs2J06dQpf/epXAQCbN29GMpnE5OQkWlrq593LfPXrGM23ob0lXfKBleUf0qKNsz1AyMKXNVBhPhWeV6oLFM+j9M++Qau4oZNGz4Ys3tCZOxMlda0dS2vako2duSGrNo25U5HPF3+hFH1hGqtT6QunaJrCYC6twNVY+kVcNGGF6asMzzVuvrI5pqm4PvNZ6DJUeP9shXPXqzhJ9fdr/nbRh6enFTQ1o2zHrGinDSj0IJs7h3P8le0klsyrfEexwnzN5XC59J12I0xJ1QxeSmHYGq8W13G59B3M0mldalEdPUgsU5BZokhEoKvT9hk3gqIwQ2De7IXMF8bZAqXQjN5Fc1zpzrei6MdkzAM7pTvoxqNVDhiBoXxHXgrbNCXTW391bjwi4O1y2NGYVWwkIiDqrT1Kt/UVhkXFMGk8FvUolXyH27cBlbYDKKlTUl42j4XM2zYuEhHoqrf2WCr7fl7RARmgbN/ONk6UhUfbc3PcfK9rDVcui0aBcHieec3xmqJ0xgv9v5Uo2Ze0HTCBbbqiA2SF97AwH1lxPsXlhfdOa+8A6iiXADUMdvF4HDt27LCeB4NBxGKxqsEuFhP6ATVHaUR048OYCq+yLx0Hi0YFwmwPR1lVbSIBZI0/h4pGBQrX2ajzT2BerrvcWwsJ6/4xcNx3++2jtwc5RX22Rz0u88LUZ3sslX2dF/AdfRtFcwL53DJvzwWctprFHHjfhlCoepljbp4i5zmSEAo5d8dw1R1Ncji2h/OwTZyF7eEsbA9nYXs4C9vDWdgezlZ2yfbtEg6HEY8Xbs0WjUYRmiuCEhERERERUUU1C3YPPfQQTpw4AQA4e/YswuFwXV1fR0RERERE5BQ1OxVz37592LFjB/7oj/4IQgh873vfq9WiEBERERER1bWaXmP33e9+t5YvT0REREREtCLU7FRMIiIiIiIiWh4MdkRERERERHWOwY6IiIiIiKjOMdgRERERERHVOQY7IiIiIiKiOsdgR0REREREVOcY7IiIiIiIiOocgx0REREREVGdE1JKWeuFICIiIiIiosVjjx0REREREVGdY7AjIiIiIiKqcwx2REREREREdY7BjoiIiIiIqM4x2BEREREREdU5BjsiIiIiIqI6x2BHRERERERU51y1XgAne/XVV/Gb3/wGuVwO3/rWt7Br1y68+OKLyOfzCIVCeO211+DxePDuu+/inXfegaIoeOqpp3Do0CFks1m8/PLLGBoagqqqOHLkCHp6emq9SkTLZimfj//4j//A97//faxfvx4AsH//fvz5n/95jdeIaPks9PORTCbxV3/1V2hubsYPfvADAOD2g1a8pXw+uP0gqo7BropPPvkEFy9exPHjx5FIJPDNb34TDz74IJ555hk8/vjjeP3119Hb24uDBw/izTffRG9vL9xuN5588kk89thjOHnyJPx+P44dO4aPPvoIx44dwxtvvFHr1SJaFkv9fADAE088gZdeeqnGa0K0/Bb6+XjmmWfwve99D/feey/Onz9vTf/ee+9x+0Er1lI/HwC3H0TV8FTMKu6//358//vfBwD4/X7MzMzg008/xaOPPgoAeOSRR3Dq1CmcPn0au3btgs/ng9frxb59+9DX14dTp05ZO7D79+9HX19fzdaFaLkt9fNBtJIt9PMBAH//93+Pe++9t2h6bj9oJVvq54OIqmOwq0JVVTQ1NQEAent78ZWvfAUzMzPweDwAgPb2dsRiMcTjcQSDQWu6YDBYNl5RFAghkMlkbv+KEN0CS/18AMCvf/1rPPvss/jTP/1TfP7557d/JYhukYV+PgCgpaWlbHpuP2glW+rnA+D2g6ganoo5j1/+8pfo7e3F22+/ja997WvWeCllxfo3O56oni3287Fnzx4Eg0E8/PDD+O1vf4uXXnoJ//mf/3lblpnodrnZz0c13H7QSrTYzwe3H0TVscduDr/61a/wox/9CG+99RZ8Ph+ampqQTqcBACMjIwiHwwiHw4jH49Y00WjUGm8eccpms5BSWkejiFaCpXw+Nm/ejIcffhgAcM8992BsbAz5fL4Wq0F0Syzk81ENtx+00i3l88HtB1F1DHZVTExM4NVXX8WPf/xjtLa2AtCvdThx4gQA4IMPPsCBAwewZ88efPbZZ0ilUpiamkJfXx/uu+8+PPTQQ3j//fcBACdPnsQDDzxQs3UhWm5L/Xy89dZbeO+99wAAFy5cQDAYhKqqNVsfouW00M9HNdx+0Eq21M8Htx9E1QnJczwqOn78OH74wx9i48aN1rijR4/i8OHDmJ2dRXd3N44cOQK32433338fP/3pTyGEwB//8R/jD/7gD5DP53H48GFcu3YNHo8HR48exZo1a2q4RkTLZ6mfj0gkgr/+67+GlBK5XA6vvPIKdu/eXcM1Ilo+C/18KIqCP/uzP0MqlcLIyAi2bNmC5557Dl/60pe4/aAVa6mfj40bN3L7QVQFgx0REREREVGd46mYREREREREdY7BjoiIiIiIqM4x2BEREREREdU5BjsiIiIiIqI6x2BHRERERERU5xjsiIiIiIiI6hyDHRERERERUZ37/41/2nx5/POkAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ltFNE0Uie5AK"
      },
      "source": [
        "Conforme o gráfico em meados de 2013 teve uma grande queda já visto em outros gráficos, mas, o que é mais interessante é a o aumento dos casos em pessoas **pardas**, creio que esse aumento é o esclarecimento da cor parda para a população, pois no começo de 2000 as pessoas** não entendiam** ou não se **identificavam** como **parda** por falta de **entendimento** do termo. Então conseguimos ver esse crescimento nos casos de pessoas pardas e a diminuição nos casos de pessoas brancas. \n",
        "\n",
        "Para saber mais sobre pardos [Clique Aqui](https://pt.wikipedia.org/wiki/Pardos#:~:text=A%20categoria%20%22pardo%22%20foi%20usada,os%20pretos%2019%2C7%25)\n",
        "\n",
        "Entre 1991 e 2000, os pardos decresceram de 42,4% para 38,5%. Em 2010, aumentaram para 43,1%. O contínuo crescimento da população parda durante o século XX é descrito por alguns como o fenômeno da **\"pardização\"** do Brasil. Para o Instituto Brasileiro de Geografia e Estatística, o crescimento das pessoas que se dizem pardas ou pretas reflete a \"revalorização da identidade de grupos raciais historicamente discriminados\".\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bezb2vLaDtBp"
      },
      "source": [
        "##HIPOTESE 4: Os novos casos de HIV/AIDS ocorrem mais em pessoas com 1° a 4 ° série incompletas."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_8DhKKvFfxxE"
      },
      "source": [
        "Agora vamos verificar os nossos dados de escolaridade dos diagnosticados com HIV."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "i4F0Ivfaf2aG"
      },
      "source": [
        "Como fizemos no gráfico acima, vamos colocar a coluna Escolaridade como index da nossa tabela, visando a construção da visualização mais fácil."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZE8NiR8yEJTd"
      },
      "source": [
        "evo_esco  = df_escolaridade.set_index('Escolaridade')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "id": "R2UH3vBOSuST",
        "outputId": "2d3db953-99f1-45b0-d2f0-a6b16c3442c6"
      },
      "source": [
        "colors7 = ['blue','red','#264653','#b544ed','#43d3e0', 'orange']\n",
        "ax = evo_esco.T.plot(alpha=0.8, figsize =(15,6), color = colors7 )\n",
        "ax.grid(color='b', linestyle='-', linewidth=1, alpha = 0.1)\n",
        "plt.title(\"1980 até 2019\")\n",
        "plt.suptitle(\"Evolução dos casos de HIV por Escolaridade\", size=20, weight='bold' )\n",
        "ax.legend()\n",
        "plt.show()"
      ],
      "execution_count": null,
      "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": "h2CoXsUvf6d8"
      },
      "source": [
        "Veja o gráfico, assim está dá para analisar os dados, mas vamos focar em alguns pontos específicos. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "id": "0Yr6mUKqSxlu",
        "outputId": "d194658d-8a57-4206-8299-4e64b42d06c8"
      },
      "source": [
        "colors5 = ['#d1cfcf','red','#264653','#d1cfcf', '#d1cfcf', '#d1cfcf']\n",
        "ax = evo_esco.T.plot(alpha=0.8, figsize =(15,6),color = colors5, marker = ',')\n",
        "ax.grid(color='b', linestyle='-', linewidth=1, alpha = 0.1)\n",
        "plt.title(\"1980 até 2019\")\n",
        "plt.suptitle(\"Evolução dos casos de HIV por Escolaridade\", size=20, weight='bold' )\n",
        "ax.legend()\n",
        "plt.show()"
      ],
      "execution_count": null,
      "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": "oAyZT-MLf-5t"
      },
      "source": [
        "Nesse gráfico deixamos apenas 1° a 4° série incompleta e 5° a 8° série incompleta em foco, pois ambos são os maiores picos de nosso gráfico. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3s-XNvDSgr9m",
        "outputId": "05d931c6-de6b-4132-9bd9-48e8798db912"
      },
      "source": [
        "evo_esco.T['1ª a 4ª série incompleta'].sort_values( ascending = False)\n",
        "#1998 = 8010\n",
        "#1998 = 1032\n",
        "#87,11%"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1998    8010\n",
              "1999    7434\n",
              "2000    7369\n",
              "2001    6149\n",
              "1997    5866\n",
              "1996    5104\n",
              "1995    4426\n",
              "2002    4415\n",
              "1994    4011\n",
              "2003    3785\n",
              "2004    3638\n",
              "1993    3514\n",
              "2005    3132\n",
              "1992    2903\n",
              "2006    2805\n",
              "2008    2575\n",
              "2007    2433\n",
              "2009    2406\n",
              "2011    2405\n",
              "2012    2384\n",
              "2010    2331\n",
              "2013    2251\n",
              "1991    2078\n",
              "2014    2060\n",
              "2015    1863\n",
              "1990    1585\n",
              "2016    1548\n",
              "2017    1342\n",
              "2018    1240\n",
              "1989    1050\n",
              "2019    1032\n",
              "1988     724\n",
              "1987     322\n",
              "1986      80\n",
              "1985      20\n",
              "1984       4\n",
              "1983       3\n",
              "1982       1\n",
              "1980       0\n",
              "Name: 1ª a 4ª série incompleta, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CTbEwv3vhApX",
        "outputId": "6445111c-865c-46ae-95ef-9698f181d796"
      },
      "source": [
        "evo_esco.T['5ª a 8ª série incompleta'].sort_values( ascending = False)\n",
        "#2003 = 8563\n",
        "#2019 = 2409\n",
        "#71.86%"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2003    8563\n",
              "2002    8233\n",
              "2004    8174\n",
              "2005    7572\n",
              "2001    7242\n",
              "1997    6924\n",
              "2006    6877\n",
              "2000    6828\n",
              "1998    6799\n",
              "1999    6225\n",
              "1996    5926\n",
              "2009    5301\n",
              "2013    5285\n",
              "2008    5279\n",
              "2011    5277\n",
              "2010    5263\n",
              "2012    5250\n",
              "2007    5242\n",
              "1995    5125\n",
              "2014    4649\n",
              "1994    4291\n",
              "1993    3961\n",
              "2015    3953\n",
              "2016    3570\n",
              "1992    3286\n",
              "2017    3275\n",
              "2018    2836\n",
              "1991    2428\n",
              "2019    2409\n",
              "1990    1732\n",
              "1989    1133\n",
              "1988     718\n",
              "1987     362\n",
              "1986     112\n",
              "1985      62\n",
              "1984      19\n",
              "1983       3\n",
              "1982       0\n",
              "1980       0\n",
              "Name: 5ª a 8ª série incompleta, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e1YpFsv5gH8M"
      },
      "source": [
        "Podemos entender que o HIV atingiu em um certo período as pessoas que possuem uma baixa renda e pouco acesso a informação, mas veja que hoje essas pessoas com 1 a 8° série incompleta diagnosticada com HIV diminui drasticamente desde 1999, houve um decréscimo de **87,11%** de 1998 até 2019 em **1° a 4° série**. <br>\n",
        "Já na **5° a 8° série** houve decréscimo de **71,86%** de **2003 até 2019**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3VRM9Z5Si4Ue"
      },
      "source": [
        "Um possível causa para esse decréscimo é o aumento dos jovens com ensino fundamental completo. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bzDYz6vojPbX"
      },
      "source": [
        "<img src=\"https://github.com/JuniorTorresMTJ/Projeto_DeuPositivo/blob/main/image/jovens-de-16-anos-que-concluiram-o-ensino-fundamental-de-2012-a-2018.gif?raw=true\" alt=\"grafico\" />\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jRQ1fCaUluBe"
      },
      "source": [
        "Fonte : [Clique Aqui](https://g1.globo.com/educacao/noticia/2018/12/18/quase-4-em-cada-10-jovens-de-19-anos-nao-concluiram-o-ensino-medio-aponta-levantamento.ghtml)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yn8EVfKdl2EY"
      },
      "source": [
        "Agora vamos verificar outras duas parcelas dos nossos dados que são relevantes no gráfico, sendo eles, fundamental completo e médio completo"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "id": "XBR9hlIfS06s",
        "outputId": "c9e66d34-9975-4549-c74e-754a02b426a8"
      },
      "source": [
        "colors5 = ['#d1cfcf','#d1cfcf','#d1cfcf','#b544ed','#43d3e0', '#d1cfcf']\n",
        "ax = evo_esco.T.plot(alpha=0.8, figsize =(15,6),color = colors5, marker = '.' )\n",
        "ax.grid(color='b', linestyle='-', linewidth=1, alpha = 0.1)\n",
        "plt.title(\"1980 até 2019\")\n",
        "plt.suptitle(\"Evolução dos casos de HIV por Escolaridade\", size=20, weight='bold' )\n",
        "ax.legend()\n",
        "plt.show()"
      ],
      "execution_count": null,
      "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": "WlEjC9xil_4h"
      },
      "source": [
        "Houve um grande aumento nos números de casos de pessoas que possuem o ensino médio, isso nos mostra que a conscientização nas escolas não estão sendo o suficiente, jovens estão saindo e não sabendo é o contágio da doença, não levando a sério, assim aumentando o número de dados. Precisamos passar a barreira e quebrar o tabú de falar de sexo e doenças sexualmente transmissíveis. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HzZPo4wgmAgS"
      },
      "source": [
        "Outro possível motivo para o aumento no número de casos é a facilidade que o EJA (Educação de Jovens e Adultos) e outros supletivos traz mais facilidade para terminar o ensino médio em apenas 6 meses, assim aumentando o número  de pessoas que possuem o ensino médio completo, já que antes tinham menos pessoas formadas. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4mVL7_7DmRjb"
      },
      "source": [
        "EJA é voltado a pessoas que não concluíram seus estudos na idade adequada e desejam uma alternativa prática para obter certificação de nível médio e poder ingressar em um curso técnico ou no Ensino Superior. Hoje por causa da pandemia, o curso é online e tem duração de três semestres. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r3UovkyqmVCh"
      },
      "source": [
        "<img src=\"https://github.com/JuniorTorresMTJ/Projeto_DeuPositivo/blob/main/image/jovens-de-19-anos-que-concluiram-o-ensino-fundamental-de-2012-a-2018.gif?raw=true\" alt=\"grafico\" />\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9aibhBFLmhov"
      },
      "source": [
        "Fonte: [Clique Aqui](https://g1.globo.com/educacao/noticia/2018/12/18/quase-4-em-cada-10-jovens-de-19-anos-nao-concluiram-o-ensino-medio-aponta-levantamento.ghtml)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4xt5mWVnm73c"
      },
      "source": [
        "Para saber mais:\n",
        "*   [EJA EAD](https://www.cps.sp.gov.br/ead/ensino-medio-eja-ead/#:~:text=O%20Ensino%20M%C3%A9dio%20a%20dist%C3%A2ncia,t%C3%A9cnico%20ou%20no%20Ensino%20Superior)\n",
        "*   [Cresce o número de jonos no ensino médio](https://www.educamaisbrasil.com.br/educacao/escolas/cresce-o-numero-de-jovens-no-ensino-medio-diz-pesquisa)\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YdHCXEF1EJxg"
      },
      "source": [
        "##HIPOTESE 5: Pessoas do sexo masculino adquirem mais HIV que pessoas do sexo feminino."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rylFDq9dEg4w"
      },
      "source": [
        "evo_sexo = df_sexo.set_index('Sexo')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "id": "8lH6X5qdS8Kp",
        "outputId": "8e5d6984-8be8-4626-93ef-7e338558d00d"
      },
      "source": [
        "colors4 = ['#264653','#b75bb7']\n",
        "ax = evo_sexo .T.plot(alpha=0.8, figsize =(15,6), color = colors4, marker = '.')\n",
        "ax.grid(color='b', linestyle='-', linewidth=1, alpha = 0.1)\n",
        "plt.title(\"1980 até 2019\")\n",
        "plt.suptitle(\"Evolução dos casos de HIV por Sexo\", size=20, weight='bold' )\n",
        "ax.legend()\n",
        "plt.show()"
      ],
      "execution_count": null,
      "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": "SmzIxQfonY5W"
      },
      "source": [
        "Vemos no gráfico que ambos os sexos possuem praticamente o mesmo comportamento, mas nos últimos anos os casos em mulheres houve mais queda do que entre os homens. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wnLzuWJFnexV"
      },
      "source": [
        "Infelizmente, muitas mulheres pegam HIV/AIDS , por causa da traição, pois seus maridos  trazem as doenças de fora para casa, contaminando assim suas parceiras. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uukraVbhng62"
      },
      "source": [
        "Veja:\n",
        "\n",
        "*  [Após contrair HIV do marido](http://g1.globo.com/se/sergipe/noticia/2013/09/apos-contrair-hiv-do-marido-mulher-abandona-dogmas-e-auxilia-doentes.html)\n",
        "\n",
        "*  [Mulheres com HIV](https://www.uol.com.br/universa/noticias/redacao/2018/12/01/ele-falou-que-quis-me-contaminar-historias-de-mulheres-com-hiv.htm)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_4WTXuwzn4vl"
      },
      "source": [
        "A hipótese é verdadeira, desde 1980 os homens possuem mais casos de HIV que mulheres."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hOrundREEhKO"
      },
      "source": [
        "##HIPOTESE 6: Jovens de 20-34 anos são os que mais são contaminados pelos vírus do HIV."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "id": "U6EC1lL-FvJ2",
        "outputId": "0b1d83f6-f209-4dd5-e8ec-8c4eca2bf302"
      },
      "source": [
        "evo_etaria =  df_etária.set_index('Fx. Etária(SINAN)')\n",
        "colors4 = ['#264653','#95b8d1']\n",
        "ax = evo_etaria.T.plot(alpha=0.8, figsize =(15,6))\n",
        "ax.grid(color='b', linestyle='-', linewidth=1, alpha = 0.1)\n",
        "plt.title(\"1980 até 2019\")\n",
        "plt.suptitle(\"Evolução dos casos de HIV por Faixa Etária\", size=20, weight='bold' )\n",
        "ax.legend()\n",
        "plt.show()"
      ],
      "execution_count": null,
      "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": "zWuF8qnLFAxA"
      },
      "source": [
        "##HIPOTESE 7: Menos Pessoas morrem de AIDS comparando com a quantidade de óbitos em 2008.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        },
        "id": "FzrwsJxjW4Nk",
        "outputId": "484948a0-f8ca-4e98-9d81-0ab89a30d06e"
      },
      "source": [
        " df_obitos"
      ],
      "execution_count": null,
      "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>Forma organização</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "      <th>2012</th>\n",
              "      <th>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2018</th>\n",
              "      <th>2019</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>030318 Tratamento HIV/Aids</td>\n",
              "      <td>4391</td>\n",
              "      <td>4902</td>\n",
              "      <td>4862</td>\n",
              "      <td>4411</td>\n",
              "      <td>4185</td>\n",
              "      <td>4303</td>\n",
              "      <td>4123</td>\n",
              "      <td>4131</td>\n",
              "      <td>3937</td>\n",
              "      <td>3492</td>\n",
              "      <td>3196</td>\n",
              "      <td>3058</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Forma organização  2008  2009  2010  ...  2016  2017  2018  2019\n",
              "0  030318 Tratamento HIV/Aids  4391  4902  4862  ...  3937  3492  3196  3058\n",
              "\n",
              "[1 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BaW7aDmPFbcK"
      },
      "source": [
        "evo_obt = df_obitos.set_index('Forma organização')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 431
        },
        "id": "JL9NHTjOW8XT",
        "outputId": "96756b57-3a46-4505-b426-0c3b550350ec"
      },
      "source": [
        "ax = evo_obt.T.plot(kind = 'bar',  figsize =(15,6), alpha =0.7 , color = '#ea5242', legend = None)\n",
        "ax.grid(color='r', linestyle='-', linewidth=1, alpha = 0.1)\n",
        "plt.xticks(rotation=80)\n",
        "plt.title(\"2008 até 2019\")\n",
        "plt.suptitle(\"Quantidade de mortes no tratamento de HIV/AIDS por ano\", size=20, weight='bold' )\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "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": "nPydSNUSoOO_"
      },
      "source": [
        "Hipótese verdadeira, pois hoje o número de mortes é menor do que em 2008, pois houve uma diminuição de 30.35%, de 4391 em 2008 para 3058 em 2019"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NdXIn52DFbyw"
      },
      "source": [
        "##HIPOTESE 8: Os gastos com o Tratamento de HIV/AIDS diminuiram 20% desde 2008.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 151
        },
        "id": "zcO1bL4qY3ZW",
        "outputId": "46eefd40-2b51-46bc-fa05-833c05bbea23"
      },
      "source": [
        "df_gastos"
      ],
      "execution_count": null,
      "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>Forma organização</th>\n",
              "      <th>2008</th>\n",
              "      <th>2009</th>\n",
              "      <th>2010</th>\n",
              "      <th>2011</th>\n",
              "      <th>2012</th>\n",
              "      <th>2013</th>\n",
              "      <th>2014</th>\n",
              "      <th>2015</th>\n",
              "      <th>2016</th>\n",
              "      <th>2017</th>\n",
              "      <th>2018</th>\n",
              "      <th>2019</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>030318 Tratamento HIV/Aids</td>\n",
              "      <td>26726579.17</td>\n",
              "      <td>36039338.86</td>\n",
              "      <td>36710715.56</td>\n",
              "      <td>35262692.81</td>\n",
              "      <td>37223093.48</td>\n",
              "      <td>40041730.57</td>\n",
              "      <td>41020743.62</td>\n",
              "      <td>43036555.48</td>\n",
              "      <td>41889466.25</td>\n",
              "      <td>40896929.9</td>\n",
              "      <td>39745015.66</td>\n",
              "      <td>40481022.68</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Forma organização         2008  ...         2018         2019\n",
              "0  030318 Tratamento HIV/Aids  26726579.17  ...  39745015.66  40481022.68\n",
              "\n",
              "[1 rows x 13 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qqLbv_spY_aJ"
      },
      "source": [
        "evo_gastos = df_gastos.set_index('Forma organização')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "id": "eK0KF-rSZHzt",
        "outputId": "549d5614-594a-4aa4-b0c3-43cedc55c50f"
      },
      "source": [
        "ax = evo_gastos.T.plot(kind = 'area', alpha =0.5, legend = None, figsize =(15,6), color = '#42eacc')\n",
        "ax.yaxis.set_major_formatter(ticker.StrMethodFormatter('{x:,.0f}'))\n",
        "ax.grid(color='g', linestyle='-', linewidth=1, alpha = 0.1)\n",
        "plt.title(\"2008 até 2019\")\n",
        "plt.suptitle(\"Quantidade de gasto no tratamento de HIV/AIDS por ano\", size=20, weight='bold' )\n",
        "plt.show()\n",
        "\n"
      ],
      "execution_count": null,
      "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": "FUFqLr2YrFnm"
      },
      "source": [
        "Os gastão não houve diminuição, houve um aumento de mais de 30% e não houve queda nos ultimos anos, pois HIV/AIDS é para sempre, não há cura ainda, portanto não faz sentido a diminuição dos gastos."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zWPisrxSg61e"
      },
      "source": [
        "***\n",
        "#CONCLUSÃO\n",
        "\n",
        "***"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-l7wnqSQYtwD"
      },
      "source": [
        "Após toda a análise dos dados, podemos concluir que no começo houve um grande aumento nos casos HIV/AIDS, mas desde meados de 2013 esse número de casos vem diminuindo graças a disponibilização do tratamento para todos, vimos também que em 2019 o único estado brasileiro com mais casos em pessoas homossexuais do que em heterossexuais foi no Distrito Federal e em todos os anos desde 1990 os heteros são os que mais adquirem o diagnóstico de soropositivo. <br><br>\n",
        "Antes, os brancos eram o que mais contraiam o HIV/AIDS, mas depois de 2013 esse cenário mudou, os pardos começaram a ter mais novos casos novos. Outra mudança foi de mais casos em pessoas com o ensino médio completo, antes tinham mais casos em ensino fundamental incompleto, mostrando que a conscientização nas escolas não está o suficiente, precisamos de mais campanhas, palestras e ensinamentos nas escolas brasileiras.  <br><br>\n",
        "Os homens sempre foram as maiores vítimas do HIV, pois desde 1980 sempre foi o sexo que teve mais casos.  <br><br>\n",
        "Já analisando os dados pela faixa etária, vemos que o grande número de casos está entre 20-49 anos, é a fase da vida que a vida sexual se inicia e perdura por muito tempo ativa, onde se arriscam mais e não usam preservativos. <br><br>\n",
        " Algo positivo de apontar é que temos menos mortes no tratamento do HIV/AIDS, pois em 2008 tinhamos 4381 mortes e já em 2019 tivemos 3058 mortes, uma diminuição em 30%, já os gastos com o tratamento de HIV/AIDS, em 2008 para 2009 teve um grande aumento, mas nos últimos anos não teve um grande aumento significativo, pois as pessoas soropositivas sempre terão HIV/AIDS até a sua morte, pois não temos cura ainda. <br><br>\n",
        "Portanto, graças ao SUS podemos ver que a os casos de HIV/AIDS vem diminuindo muito, pois é um privilégio todos terem o direito ao tratamento e coquetéis de graça, fora outros tratamentos caros, vacinas, remédios, consultas etc. Então, só podemos dizer:  **Viva ao SUS!**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "afjVPKzydqTj"
      },
      "source": [
        "<img src=\"https://github.com/JuniorTorresMTJ/Projeto_DeuPositivo/blob/main/image/giphy%20(3).gif?raw=true\" alt=\"SUS\" />"
      ]
    }
  ]
}