analise_candidata_feminicidio.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Número de Candidatas do gênero Feminino versus a Taxa de Feminicídio no Brasil, dos anos de 2004 à 2020\n",
    "### Será realizado um comparativo do número de candidatas mulheres, para os cargos de Presidentas, Deputadas Federal e Estadual, Senadoras, Prefeitas (tanto nos cargos titulares, quanto vice) e também Vereadoras, versus a taxa de Feminicído disponibilizado pelo IPEA (Instituto de Pesquisas Econômicas Aplicadas)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#importa módulos\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Seleção dos dados:\n",
    "    * Os dados dos candidatos foram extraídos do site: https://www.tse.jus.br/eleicoes/estatisticas/repositorio-de-dados-eleitorais-1/repositorio-de-dados-eleitorais\n",
    "    \n",
    "    \n",
    "- Pré-processamento:\n",
    "    * Os dados dos anos de 2004 a 2012, estavam separados por estado e em arquivo .txt. Foi necessário concatenar os arquivos, formando um dataset anual. Esse processo está detalhado nos notebooks dos respectivos anos.\n",
    "    * No notebook \"total.ipnyb\", todos os datasets anuais foram concatenados e salvo em um único dataset com as informações necessárias dos anos de 2004 à 2020."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#leitura do database\n",
    "df = pd.read_csv(r'consulta_cand_2004_2020_BRASIL.csv', delimiter=',', encoding='utf_8') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2407292, 11)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Verifica o número de linhas e colunas do dataset\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2407292 entries, 0 to 2407291\n",
      "Data columns (total 11 columns):\n",
      "ANO_ELEICAO                 int64\n",
      "CD_TIPO_ELEICAO             int64\n",
      "NM_TIPO_ELEICAO             object\n",
      "SG_UF                       object\n",
      "NM_UE                       object\n",
      "DS_CARGO                    object\n",
      "DS_DETALHE_SITUACAO_CAND    object\n",
      "SG_PARTIDO                  object\n",
      "DS_GENERO                   object\n",
      "DS_GRAU_INSTRUCAO           object\n",
      "DS_SIT_TOT_TURNO            object\n",
      "dtypes: int64(2), object(9)\n",
      "memory usage: 202.0+ MB\n"
     ]
    }
   ],
   "source": [
    "#Verifica o tipo de dado do dataset\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2004, 2006, 2008, 2010, 2012, 2014, 2016, 2018, 2020])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Verifica se todos os anos foram concatenados corretamente\n",
    "df['ANO_ELEICAO'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['PREFEITO', 'VICE-PREFEITO', 'VEREADOR', 'GOVERNADOR',\n",
       "       'VICE-GOVERNADOR', 'SENADOR', 'DEPUTADO FEDERAL',\n",
       "       'DEPUTADO ESTADUAL', '1º SUPLENTE SENADOR', '2º SUPLENTE SENADOR',\n",
       "       'PRESIDENTE', 'VICE-PRESIDENTE',\n",
       "       'VOCÊ É A FAVOR | DA CRIAÇÃO DO MUNICÍPIO DE | EXTREMA DE RONDÔNIA?',\n",
       "       'VOCÊ É A FAVOR DA | ALTERAÇÃO DO NOME | DA CIDADE DE EMBU\" | PARA \"EMBU DAS ARTES\"?\"',\n",
       "       'DEPUTADO DISTRITAL', '1º SUPLENTE', '2º SUPLENTE'], dtype=object)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Verifica os cargos existentes no dataset.\n",
    "df['DS_CARGO'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['MASCULINO', 'FEMININO', 'NÃO INFORMADO', '6', '8',\n",
       "       'NÃO DIVULGÁVEL'], dtype=object)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Verifica os tipos de gênero descritos no dataset\n",
    "df['DS_GENERO'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ANO_ELEICAO                 0\n",
       "CD_TIPO_ELEICAO             0\n",
       "NM_TIPO_ELEICAO             0\n",
       "SG_UF                       0\n",
       "NM_UE                       0\n",
       "DS_CARGO                    0\n",
       "DS_DETALHE_SITUACAO_CAND    0\n",
       "SG_PARTIDO                  0\n",
       "DS_GENERO                   0\n",
       "DS_GRAU_INSTRUCAO           0\n",
       "DS_SIT_TOT_TURNO            3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verifica se há algum dado faltante (Como só havia 3 dados faltantes apenas,\n",
    "# não foi realizado nada para preencher)\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANO_ELEICAO</th>\n",
       "      <th>CD_TIPO_ELEICAO</th>\n",
       "      <th>NM_TIPO_ELEICAO</th>\n",
       "      <th>SG_UF</th>\n",
       "      <th>NM_UE</th>\n",
       "      <th>DS_CARGO</th>\n",
       "      <th>DS_DETALHE_SITUACAO_CAND</th>\n",
       "      <th>SG_PARTIDO</th>\n",
       "      <th>DS_GENERO</th>\n",
       "      <th>DS_GRAU_INSTRUCAO</th>\n",
       "      <th>DS_SIT_TOT_TURNO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2004</td>\n",
       "      <td>1</td>\n",
       "      <td>ELEICOES 2004</td>\n",
       "      <td>AC</td>\n",
       "      <td>ACRELANDIA</td>\n",
       "      <td>PREFEITO</td>\n",
       "      <td>DEFERIDO</td>\n",
       "      <td>PTB</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>FUNDAMENTAL INCOMPLETO</td>\n",
       "      <td>NÃO ELEITO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2004</td>\n",
       "      <td>1</td>\n",
       "      <td>ELEICOES 2004</td>\n",
       "      <td>AC</td>\n",
       "      <td>ACRELANDIA</td>\n",
       "      <td>PREFEITO</td>\n",
       "      <td>DEFERIDO</td>\n",
       "      <td>PT</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>FUNDAMENTAL COMPLETO</td>\n",
       "      <td>NÃO ELEITO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2004</td>\n",
       "      <td>1</td>\n",
       "      <td>ELEICOES 2004</td>\n",
       "      <td>AC</td>\n",
       "      <td>ACRELANDIA</td>\n",
       "      <td>PREFEITO</td>\n",
       "      <td>DEFERIDO</td>\n",
       "      <td>PSDB</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>SUPERIOR COMPLETO</td>\n",
       "      <td>ELEITO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2004</td>\n",
       "      <td>1</td>\n",
       "      <td>ELEICOES 2004</td>\n",
       "      <td>AC</td>\n",
       "      <td>ACRELANDIA</td>\n",
       "      <td>VICE-PREFEITO</td>\n",
       "      <td>DEFERIDO</td>\n",
       "      <td>PMDB</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>FUNDAMENTAL COMPLETO</td>\n",
       "      <td>#NULO#</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2004</td>\n",
       "      <td>1</td>\n",
       "      <td>ELEICOES 2004</td>\n",
       "      <td>AC</td>\n",
       "      <td>ACRELANDIA</td>\n",
       "      <td>VICE-PREFEITO</td>\n",
       "      <td>DEFERIDO</td>\n",
       "      <td>PTB</td>\n",
       "      <td>MASCULINO</td>\n",
       "      <td>SUPERIOR COMPLETO</td>\n",
       "      <td>#NULO#</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ANO_ELEICAO  CD_TIPO_ELEICAO NM_TIPO_ELEICAO SG_UF       NM_UE  \\\n",
       "0         2004                1   ELEICOES 2004    AC  ACRELANDIA   \n",
       "1         2004                1   ELEICOES 2004    AC  ACRELANDIA   \n",
       "2         2004                1   ELEICOES 2004    AC  ACRELANDIA   \n",
       "3         2004                1   ELEICOES 2004    AC  ACRELANDIA   \n",
       "4         2004                1   ELEICOES 2004    AC  ACRELANDIA   \n",
       "\n",
       "        DS_CARGO DS_DETALHE_SITUACAO_CAND SG_PARTIDO  DS_GENERO  \\\n",
       "0       PREFEITO                 DEFERIDO        PTB  MASCULINO   \n",
       "1       PREFEITO                 DEFERIDO         PT  MASCULINO   \n",
       "2       PREFEITO                 DEFERIDO       PSDB  MASCULINO   \n",
       "3  VICE-PREFEITO                 DEFERIDO       PMDB  MASCULINO   \n",
       "4  VICE-PREFEITO                 DEFERIDO        PTB  MASCULINO   \n",
       "\n",
       "        DS_GRAU_INSTRUCAO DS_SIT_TOT_TURNO  \n",
       "0  FUNDAMENTAL INCOMPLETO       NÃO ELEITO  \n",
       "1    FUNDAMENTAL COMPLETO       NÃO ELEITO  \n",
       "2       SUPERIOR COMPLETO           ELEITO  \n",
       "3    FUNDAMENTAL COMPLETO           #NULO#  \n",
       "4       SUPERIOR COMPLETO           #NULO#  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Verifica as 5 primeiras linhas do dataset\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Alguns cargos  e gênero eram pontuais e locais, não contribuindo para a amostra de um modo geral, portanto foram excluídos do dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(df[df['DS_CARGO'] == 'VOCÊ É A FAVOR | DA CRIAÇÃO DO MUNICÍPIO DE | EXTREMA DE RONDÔNIA?'].index, inplace=True)\n",
    "df.drop(df[df['DS_CARGO'] == 'VOCÊ É A FAVOR DA | ALTERAÇÃO DO NOME | DA CIDADE DE EMBU\" | PARA \"EMBU DAS ARTES\"?\"'].index, inplace=True)\n",
    "df.drop(df[df['DS_GENERO'] == '6'].index, inplace=True)\n",
    "df.drop(df[df['DS_GENERO'] == '8'].index, inplace=True)\n",
    "df.drop(df[df['DS_GENERO'] == 'NÃO DIVULGÁVEL'].index, inplace=True)\n",
    "df.drop(df[df['DS_GENERO'] == 'NÃO INFORMADO'].index, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['PREFEITO', 'VICE-PREFEITO', 'VEREADOR', 'GOVERNADOR',\n",
       "       'VICE-GOVERNADOR', 'SENADOR', 'DEPUTADO FEDERAL',\n",
       "       'DEPUTADO ESTADUAL', '1º SUPLENTE SENADOR', '2º SUPLENTE SENADOR',\n",
       "       'PRESIDENTE', 'VICE-PRESIDENTE', 'DEPUTADO DISTRITAL',\n",
       "       '1º SUPLENTE', '2º SUPLENTE'], dtype=object)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verifica o novo formato da coluna\n",
    "df['DS_CARGO'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['MASCULINO', 'FEMININO'], dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verifica o novo formato da coluna\n",
    "df['DS_GENERO'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Para ter uma noção geral de como é a proporção do número de candidatas mulheres versus homens:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Porcentagem Mulheres x Homens nas Eleições - Por Cargo'}, xlabel='DS_CARGO'>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXgAAAGDCAYAAAAhyAt8AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAABQN0lEQVR4nO2debxd49XHv78kSCQiRGIKkqgpRIIoaqiaqmpWQwyl2nr1FTGlVGlRqjW9ZlotNU9VUyc1FKVVKuaYQgRRkkjNiRLW+8fznJt9T8459969z77nnJ31/Xzu5+69n7PXXmefvdd+9nrWs5bMDMdxHKd49Gi0Ao7jOE4+uIF3HMcpKG7gHcdxCoobeMdxnILiBt5xHKeguIF3HMcpKG7gFwAkTZW0VVw+UdLVjdbJaT4kmaQvdOJzm0p6oZMyD5H0pqQvSfqzpIWya+p0lrob+GhM5kj6UNJ0SZdL6lfv46Ql6nNKo/XoDJLuizfdqLLtt8TtmzdGs8YhaWj87r3KtrfM79oo4sP903hvlv7e7aocM3vAzFbr5Mc3BjYCjgNeNLNPu3q8LEjaXNLn8bt+IOkFSd+qo/xlJV0aH2IfSHpe0kmS+tbrGFnIqwe/g5n1A9YFxgDHd2Xn8pt3AedF4JulFUkDCTfMzIZpNE8X/51ajxvMrF/ib0CeBzOzvc1sqpl93cwOy/NYNfh3tEf9gWOAX0ka0RUBla51SUsCDwF9gI3MbDFga2AAsHJXlczjfsrVRWNmbwB/BtYCkLSjpEmS3o290zVKn409/2MkPQV8JKmXpE0k/SN+/nVJB8TPLiLpTEmvxbeEX0jqE9s2lzRN0lGSZsQn67di20HAPsDR8Yn++7j9B5Jejk/gZyXtktCrp6SzJL0t6RVJ45I9SEmLJ57gb0g6RVLP2HaApL9LOjt+hynxVfWA+H1mSNq/g9N4DbBnSSYwFrgF+CShY7vea+kc1JC5sKQr4/edJGlMYt/lJP1O0sz4fccn2k6UdJOkqyW9DxzQwff/gqT7Jb0Xz98NlZSRtGc8Vv+4/jVJb0ka1MG5qUonrrXvS3pK0kdR/6UVXAgfSLpb0hKJz2+YuA6fVOLNKco+Of7OH0i6U9JSsa13PFez4r7/krR0FX2nSpoQdXpP0g2Sese2JST9If4m78TlIYl9D4jX1gfxPO6T9rwlZHZ4jyU+u4Kkm6N+syRdELf3kHS8pFfjtX6lpMU7eV7r/p0scCvwDjAifsdzJP07/p0jaZHkd1SwSW8Bv6kg8kjgA2BfM5saj/G6mR1mZk9FOecq3OvvS5ooadPEd6x0Pw2T9LfEdXihEi7VWtd1tS9d1z9gKrBVXF4BmAScDKwKfER4wi0EHA28BCyc2O+JuE8fYKV48sbGzw8ERsfPng3cDiwJLAb8HvhZbNscmAv8JO63HTAbWCK2Xw6cUqbz7sByhAfenlHPZWPbwcCzwBBgCeBuwIBesf0W4JdAX2Aw8AjwP7HtgKjLt4CewCnAa8CFwCLANvE79qtyLu8DvgPcCXwtbnuE0IOfBmxe6TvFczCtym9yIvBxPC89gZ8B/4xtPYCJwI+BhYHhwBTgq4l9PwV2jp/t08H3v47wat4D6A1sUuO6uSZ+j4HAv4Htq3xuaPL8J7a3nQM6d639E1gaWB6YATwGrBP1/CtwQvzs8sCseL56RJmzgEGJ3+jleMw+cf3nse1/CNfmovFcrwf0r3HfPEK4DpcEngMOjm0Dgd2inMWA3wK3xra+wPvAanF9WWDNKsc4Ebi6xm9gwBc6eY9Ni8s9gSfj5/smf2fgwHjehwP9gJuBqzo6r135Tp2wR0ldewC7EK7h1Qg24p+E63YQ8A/g5DI7chrhXu1TQfY/gZM6OP6+8ffrBRwFvAX0rnE/PQScSbj/Nonn4erOXNcVj5+Tgf8QeBd4FbgoKv4j4MbE53oAbzDPSE0FDky0HwvcUkG+4pdcObFtI+CVxA8zh4QBINzAG1YyhlW+wxPATnH5r0SDFde3IhoYgoH4b/LHJzyQ7o3LBwCTE20j475LJ7bNIj64KuhxH8HA70swlqsT/JiQzcDfnWgbAcyJyxsAr5XpcCzwm8S+f0u0dfT9rwQuAYZ04roZQHj4PQ38ssbnhsZz+G7Z3yfMM/Cdudb2SbT/Drg4sX4o8wzoMUSjlGj/C7B/4jc6PtH2v8AdcflAgtFYu5P3zb6J9dOBX1T57GjgnbjcN37/3ahghMr2OzGep+R5uzfRbsAX6Nw9Ni2xfSZlD9zYdg/wv4n11QgGrVet89qV79SJ87o58HmU9x/Cvb1XbHsZ2C7x2a8CUxP7fUI0xlVkTyY+hLugzzvAqCr304qEh8qiiW1XM8/A17yuK/3l5UPd2czuTm6QtBzB4ANgZp9Lep3wJC/xemJ5BcIPUM4gQk9moqQ28YSeRIlZZjY3sT6b0IOoiKRvEl63hsZN/YCl4vJyZXoll1ciPEnfTOjSo+wz0xPLcwDMrHxbR4PQNwNnER4GV3Xw2c7wVmJ5NtBbweW0ErCc2g+89QQeSKx35fsfTXh7e0TSO8BZZnZZJYXM7F1JvyX8Drt14jsslfyNJV2eaOvMtVb+G1T7TVYCdpe0Q6J9IeDexHr5+SztexXhOr5e0gDCzXqcVR9oLJezXPxuixJ6yNsS3iIBFpPU08w+krQnMAG4VNLfgaPM7Pkqx7jRzPat0laiM/dYiRWAV8vutxLtfoe4XOoYVT2vXflOkj5MrI4ws9cq6PFvMxtSYXsl/ZZLrM80s48r7FdiFuHtoiqSJgDfjnKNMA6wVOIjyftpOeA/Zja7rH2FSvpWua7b0Z1hkv8m/KgAKFw5KxCeQCUssfw6lQcq3ibcgGua2YD4t7iFQZTOkDwGklYCfgWMAwZaGHR6hnBBA7xJcM+UWCGx/DqhB7tUQpf+ZrZmJ3XpnMLhB/8z8D0qG/iPCDdkiWVSHup1Qi9tQOJvMTPbLqlO2eerfn8ze8vMvmtmyxHcFRepShiepNGEHu91wHkp9S/RmWuts7xO6Gkmz0lfM/t5Rzua2admdpKZjQC+BGxPYsC8CxxF6P1uYGb9gc3idsXj/MXMtiYYm+cJ13MWunKPvQ6sqMoDhO1+B+b1UKfTwXnt7Hey9gPGlYx7LSrp9++k+A72vxvYRVJFOxr97UcDexBcxAOA95hnW8qP8SawZHygl0jamy5f191p4G8Evi5pS4VY2KMIxuEfVT5/DbCVpD0UBlwHShptZp8TfuyzJQ0GkLS8pK92Uo/pBJ9gib6EkzwzyvoWcVA4ofdh8RgDCK+WAJjZmwT/+FmS+sdBpZUlfbmTunSFHwJftjiYU8YTwHaSlpS0DHB4ymM8AnwQB5b6KAwwryVp/Uof7uj7S9pd8wYD3yGc58/L5SgMJl4dv+O3gOUl/W/K7wBdv9ZqcTWwg6SvxvPROw7AVeoRtkPSVySNVBh0fp/gnpjv+3eCxQgG912FyI0TEsdYWtJOCmF5/yW4R9Mco40u3mOPEAzTzyX1jedn49h2HXBEHDjsB5xKiOKZS43zmsd3qsJ1wPGSBikMjP846tVZ/o/QI78idhRL5+n/JK1N+N3mEl1Ykn4cP18RM3sVeBQ4UdLCkjYCkm84Xb6uu83Am9kLBF/y+YQewg6EcMpPqnz+NcIAzFHM852Nis3HEAYX/hlHn+8m9HA6w6WEEfR3Jd1qZs8S3B8PEYz/SODvic//imDEngIeB/5E+NE+i+3fJAyIPEswYjfRwWtbGszs32b2YJXmqwgDXVOjrhWjVTpxjM8IvczRwCuE3+nXwOI1dqv1/dcHHo6v0bcDh5nZlAoyfga8bmYXm9l/CdfJKZJWSfk9unStdSDrdWAnwsNnJqHn+X06d+8sQzgf7xMGTe8nnYvtHMI41tuEgb07Em09CG6tfxPuky8T3vSqsafax8F/WDLiZXTqHovXzA4E3/37hKCBPWPzZYTv+zfC9fQxYXyjo/Pa1e+UllMIBvUpwtjPY3FbpzCz/xDezD4lXOcfEMYd3iOcu78QfqsXCa6Vj2nvkqnEPoRxjVlRlxsIRjzVda3orHc6iaSvEQa/Vurww46zACFpRcJAdxo3lFMBhdDi583shA4/XAFPVdAB0VWxXXQTLU94Pb6l0Xo5TjMRXTBvEyKxnJRIWj+6OXtI2pbwlnNrWnlu4DtGwEkE98PjhFftHzdUI8dpPg4kGPi7O/qgU5NlCKG3HxKCDb5nZo+nFeYuGsdxnILiPXjHcZyC4gbecRynoHRrNsClllrKhg4d2p2HdBzHaXkmTpz4tpl1Ofletxr4oUOH8uijj3bnIR3HcVoeSa92/Kn5cReN4zhOQXED7ziOU1DcwDuO4xSUhpdc+/TTT5k2bRoff1wrK6dTb3r37s2QIUNYaCGvgew4RaXhBn7atGkstthiDB06lETuaSdHzIxZs2Yxbdo0hg0b1mh1HMfJiYa7aD7++GMGDhzoxr0bkcTAgQP9rclxCk7DDTzgxr0B+Dl3nOLTFAbecRzHqT+FMfA9e/Zk9OjRrLnmmowaNYqzzjqLzz8PRWBmz57NPvvsw8iRI1lrrbXYZJNN+PDDD6vKmj59OnvvvTfDhw9nvfXWY6ONNuKWW0KG4Pvuu4/FF1+c0aNHt/3dfXdIoCeJo446qk3OmWeeyYknngjAiSeeyPLLL99uv3fffbedvNVXX50JEya00+XWW29l7bXXZo011mDkyJHceuutdTxrTgmp8l9esh2nO2j4IGu96NOnD0888QQAM2bMYO+99+b999/npJNO4txzz2XppZfm6aefBuCFF16oGj1iZuy8887sv//+XHvttQC8+uqr3H777W2f2XTTTfnDH/4w376LLLIIN998M8ceeyxLLbXUfO1HHHHEfAY8KW/OnDmss8467LLLLmy88cY8+eSTTJgwgbvuuothw4bxyiuvsPXWWzN8+HDWXnvtLp8jx3EWLArTg08yePBgLrnkEi644ALMjDfffJPll59XeHy11VZjkUUWqbjvX//6VxZeeGEOPvjgtm0rrbQShx56aIfH7dWrFwcddBBnn312Kr379OnD6NGjeeONUEP3zDPP5Ic//GFbpMuwYcM49thjOeOMM1LJdxxnwaKQBh5g+PDhfPbZZ8yYMYMDDzyQ0047jY022ojjjz+eyZMnV91v0qRJrLvuujVlP/DAA+1cLS+//HJb2yGHHMI111zDe++9N99+Z599dts+X/nKV+Zrf+edd5g8eTKbbbZZmy7rrbdeu8+MGTOGSZMm1dTPcRwHCuSiqcXo0aOZMmUKd955J3fffTfrr78+Dz30EGussUaH+x5yyCE8+OCDLLzwwvzrX/8CqrtoAPr37883v/lNzjvvPPr06dOurZqL5oEHHmDUqFFMnjyZww8/nGWWWSbFt3Qcx2lPYXvwU6ZMoWfPngweHArG9+vXj1133ZWLLrqIfffdlz/96U8V91tzzTV57LHH2tYvvPBC7rnnHmbOnNnpYx9++OFceumlfPTRR536/KabbsqTTz7JpEmTuPTSS9vGEkaMGMHEiRPbfXbixImsueaandbFcZwFl0Ia+JkzZ3LwwQczbtw4JPH3v/+dd955B4BPPvmEZ599lpVWWqnivltssQUff/wxF198cdu22bNnd+n4Sy65JHvssQeXXnppl/YbNmwYP/jBDzjttNMAmDBhAj/72c+YOnUqAFOnTuXUU09tF6njOI5TjcK4aObMmcPo0aP59NNP6dWrF/vttx9HHnkkAC+//DLf+973MDM+//xzvv71r7PbbrtVlCOJW2+9lSOOOILTTz+dQYMG0bdv3zajC/N88CWOP/54vvGNb7STc9RRR3HBBRe023b22Wdz9dVXt61XCnk8+OCDOfPMM5k6dSqjR4/mtNNOY4cdduDTTz9loYUW4vTTT293bMdxnGp0a9HtMWPGWHnBj+eee65TvnCn/vi5n0e12PR63B6VZHute6crSJpoZmO6ul9hevCO49SHPB92TveywBr4WbNmseWWW863/Z577mHgwIEN0MhxHKe+LLAGfuDAgW3RKo7jOEWkkFE0juM4zgLcg3ccx+mIVh+P8B684zhOQemUgZd0hKRJkp6RdJ2k3pKGSXpY0kuSbpC0cN7K5kUp1XDpb+rUqR2mBd53333b9p87dy6DBg1i++23B+Dyyy9n3LhxQEgTvOiiizJjxoy2z/fr12++5alTpyKJ888/v61t3LhxXH755UDIcnnKKaewyiqrsOqqq/KVr3zFc9I4jlOTDg28pOWB8cAYM1sL6AnsBZwGnG1mXwDeAb5dF42qJeZO+9cJSqmGS39Dhw4FQgqB5PatttoKgL59+/LMM88wZ84cAO6666522SrLWWqppTjrrLM61GPw4MGce+65fPLJJ/O1XXjhhfzjH//gySef5MUXX+TYY49lxx139LJ7juNUpbMuml5AH0m9gEWBN4EtgJti+xXAznXXronZbrvt+OMf/wjAddddx9ixY6t+9sADD+SGG27gP//5T02ZgwYNYsstt+SKK66Yr+20007jggsuYNFFFwVgm2224Utf+hLXXHNNhm/hOE6R6dDAm9kbwJnAawTD/h4wEXjXzObGj00Dqndhm5xSmoPRo0ezyy67tG2vlRZ4r7324vrrr+fjjz/mqaeeYoMNNqgqv1+/fhx44IGce+65HepyzDHHcOaZZ/LZZ5+1bXv//ff56KOPGD58eLvPeupgx3Fq0WEUjaQlgJ2AYcC7wG+BbTt7AEkHAQcBrLjiiqmUrCdlmRIAWGSRPhVj4mulBV577bWZOnUq1113Hdttt12Hxx0/fjyjR4+umC44yfDhw9lggw3aqkk5juOkpTMumq2AV8xsppl9CtwMbAwMiC4bgCHAG5V2NrNLzGyMmY0ZNGhQXZRuFnbccUcmTJhQ0z1TYsCAAey9995ceOGFHX72hz/8IaeddhqlPEH9+/enb9++TJkypd3nPHWw4zi16IyBfw3YUNKikgRsCTwL3AuUUijuD9yWj4rNy4EHHsgJJ5zAyJEjO/X5I488kl/+8pfMnTu35udWX311RowYwe9///u2bd///vcZP35828Du3XffzYMPPsjee++d/gs4jlNoOuODf5gwmPoY8HTc5xLgGOBISS8BA4GuJT9vAcp98DfddFO79iFDhjB+/PhOy1tqqaXYZZdd+O9//9vhZ4877jimTZvWtn7ooYey/vrrM3LkSFZbbTVOPvlkbrvttvmqRjmO45RY4NIFV/LBA4zpciLO1sfTBc+jFdMFd6fcesluNZrlXKRNF+wzWR3HcQqKG3jHcZyC0rTJxtyV4jiOk42mNfCO4zhFpbt8++6icRzHKShu4B3HcQqKG3hg/fVrp/8tsfPOO7Phhhu22/bCCy+w+eabM3r0aNZYYw0OOuigtrZHHnmEzTbbjNVWW4111lmH73znO8yePZsTTzyRM888s52coUOH8vbbbwPt0wlDGI846KATOeywM3n0Udh++wMYPHj5tnj6t99+uy0DJsCkSZPYYostWG211VhllVU4+eST6c5wWMdxmoOm88F3MsNvp+mMXevTZ1763z59+lRM//vuu+8yceJE+vXrx5QpU9oSf40fP54jjjiCnXbaCYCnn34agOnTp7P77rtz/fXXs9FGGwFw00038cEHH9Tle/Xo0ZPLLruM733ve+22z5kzhx133JGLL76YbbbZhtmzZ7Pbbrtx0UUXccghh9Tl2I7TbOQ1J6DV8R58pKP0vzfffDM77LBDWxbJEm+++SZDhgxpWy+lLbjwwgvZf//924w7wDe+8Q2WXnrpuug7duzhnH322fOlPbj22mvZeOON2WabbQBYdNFFueCCC/j5z39el+M6jtM6uIGPdJT+t2T0x44dy3XXXde2/YgjjmCLLbbga1/7GkceeTb33vsujz4KDzzwDIsvvl5u+i6zzIpssskmXHXVVe22T5o0ifXWa3/clVdemQ8//JD3338/N33KSVl7pWFyHaeIuIGP1Er/O336dCZPnswmm2zCqquuykILLcQzzzwDwLe+9S2ee+45dt99dyZOvI9vfWtDPvmkdq4ZVbFK1bZX49hjj+WMM87g888/79J+juMsGLiBT1At/e+NN97IO++8w7Bhwxg6dGjbg6DEcsstx4EHHshZZ91Gz569ePnlZxg+fE2ee25ixeMMHDiQd955p922Dz74gAEDBnRJ31VWWYXRo0dz4403tm0bMWIEEye2P+6UKVPo168f/fv375J8x3FaGzfwCaql/73uuuu44447mDp1KlOnTmXixIltfvg77riDTz/9FIC3336L996bxaBBy7PHHuP44x+v4OGHH26Tc/PNNzN9+nQ222wzbr/99rYB15tvvplRo0bRs2fPLut83HHHtYvI2WeffXjwwQfbCoTPmTOH8ePHc/TRR3dZtuM4rU3TRdE0kkrpf6dOncqrr77aLjxy2LBhLL744jz88MPceeedHHbYYfTu3Zs5c2D8+DNYaqllAPjpT69nwoQJzJgxgx49erDZZpux7bbbsvTSSzNu3Dg22WQTJDF48GB+/etft8mfPXt2u4Hb3Xc/sqrOa665Juuuuy6PPfYYEAqI33bbbRx66KEccsghfPbZZ+y3336MGzeuLufIcZzWoWnTBeeViybPHDeVZOcltx6y80wX7Clya8tuNbn1kp0XrXYuuirX0wU7juM47XAD7ziOU1DcwDuO4xSUphhkNbMux4A72fDcNE4j8JQC3UvDe/C9e/dm1qxZbnC6ETNj1qxZ9O7du9GqOI6TIw3vwQ8ZMoRp06Yxc+bMdttjYsX5eO65bMfLS2412XnJzSq7d+/e7UIxHccpHg038AsttBDDhg2bb/uIEZU/n7Wjn5fcarLzklsP2a0YDuc4TudpuIvGcRzHyQc38I7jOAXFDbzjOE5BcQPvOI5TUNzAO47jFBQ38I7jOAXFDbzjOE5BcQPvOI5TUNzAO47jFBQ38I7jOAXFDbzjOE5BcQPvOI5TUNzAO47jFBQ38I7jOAXFDbzjOE5BcQPvOI5TUDpl4CUNkHSTpOclPSdpI0lLSrpL0uT4f4m8lXUcx3E6T2d78OcCd5jZ6sAo4DngB8A9ZrYKcE9cdxzHcZqEDg28pMWBzYBLAczsEzN7F9gJuCJ+7Apg53xUdBzHcdLQmR78MGAm8BtJj0v6taS+wNJm9mb8zFvA0nkp6TiO43Sdzhj4XsC6wMVmtg7wEWXuGDMzoGKpZkkHSXpU0qMzZ87Mqq/jOI7TSTpj4KcB08zs4bh+E8HgT5e0LED8P6PSzmZ2iZmNMbMxgwYNqofOjuM4Tifo0MCb2VvA65JWi5u2BJ4Fbgf2j9v2B27LRUPHcRwnFb06+blDgWskLQxMAb5FeDjcKOnbwKvAHvmo6DiO46ShUwbezJ4AxlRo2rKu2jiO4zh1w2eyOo7jFBQ38I7jOAXFDbzjOE5BcQPvOI5TUNzAO47jFBQ38I7jOAXFDbzjOE5BcQPvOI5TUNzAO47jFBQ38I7jOAXFDbzjOE5BcQPvOI5TUNzAO47jFBQ38I7jOAXFDbzjOE5BcQPvOI5TUNzAO47jFBQ38I7jOAXFDbzjOE5BcQPvOI5TUNzAO47jFBQ38I7jOAXFDbzjOE5BcQPvOI5TUNzAO47jFBQ38I7jOAXFDbzjOE5BcQPvOI5TUNzAO47jFBQ38I7jOAXFDbzjOE5BcQPvOI5TUNzAO47jFBQ38I7jOAXFDbzjOE5BcQPvOI5TUNzAO47jFBQ38I7jOAXFDbzjOE5B6bSBl9RT0uOS/hDXh0l6WNJLkm6QtHB+ajqO4zhdpSs9+MOA5xLrpwFnm9kXgHeAb9dTMcdxHCcbnTLwkoYAXwd+HdcFbAHcFD9yBbBzDvo5juM4KelsD/4c4Gjg87g+EHjXzObG9WnA8pV2lHSQpEclPTpz5swsujqO4zhdoEMDL2l7YIaZTUxzADO7xMzGmNmYQYMGpRHhOI7jpKBXJz6zMbCjpO2A3kB/4FxggKResRc/BHgjPzUdx3GcrtJhD97MjjWzIWY2FNgL+KuZ7QPcC3wjfmx/4LbctHQcx3G6TJY4+GOAIyW9RPDJX1oflRzHcZx60BkXTRtmdh9wX1yeAnyx/io5juM49cBnsjqO4xQUN/CO4zgFxQ284zhOQXED7ziOU1DcwDuO4xQUN/CO4zgFxQ284zhOQXED7ziOU1DcwDuO4xQUN/CO4zgFxQ284zhOQXED7ziOU1DcwDuO4xQUN/CO4zgFxQ284zhOQelSPninhZEqbLRuV8NxnO7De/CO4zgFxQ284zhOQXEXjeM49aeiSxDcLdi9eA/ecRynoLiBdxzHKShu4B3HcQqKG3jHcZyC4gbecRynoLiBdxzHKShu4B3HcQqKG3jHcZyC4hOd0uCTOOaR17nwc+w4mfEevOM4TkHxHrzjOK2Dv9l1CTfwzYRfvI7j1BF30TiO4xQUN/CO4zgFxV00juM4edLAamqNN/Dud3Ycx8kFd9E4juMUFDfwjuM4BaXxLhrHcWrjbkwnJR324CWtIOleSc9KmiTpsLh9SUl3SZoc/y+Rv7qO4zhOZ+mMi2YucJSZjQA2BA6RNAL4AXCPma0C3BPXHcdxnCahQwNvZm+a2WNx+QPgOWB5YCfgivixK4Cdc9LRcRzHSUGXBlklDQXWAR4GljazN2PTW8DSVfY5SNKjkh6dOXNmFl27jjT/n+M4zgJCpw28pH7A74DDzez9ZJuZGVVGfMzsEjMbY2ZjBg0alElZx3Ecp/N0ysBLWohg3K8xs5vj5umSlo3tywIz8lHRcRzHSUNnomgEXAo8Z2b/l2i6Hdg/Lu8P3FZ/9RzHcZy0dCYOfmNgP+BpSU/EbT8Efg7cKOnbwKvAHrlo6DiO46SiQwNvZg8C1UYnt6yvOo7jOE698JmsjuM40NCsj3nhuWgcx3EKiht4x3GcguIG3nEcp6C4D95xFmQK6Hd25uE9eMdxnILiBt5xHKeguIF3HMcpKG7gHcdxCoobeMdxnILiBt5xHKeguIF3HMcpKG7gHcdxCopPdHIWPPKa3FO1JKRPHHIag/fgHcdxCoobeMdxnILiBt5xHKeguIF3HMcpKG7gHcdxCoobeMdxnILiBt5xHKeguIF3HMcpKG7gHcdxCoobeMdxnILiBt5xHKeguIF3HMcpKG7gHcdxCoobeMdxnILiBt5xHKeguIF3HMcpKG7gHcdxCoobeMdxnILiBt5xHKeguIF3HMcpKG7gHcdxCoobeMdxnILiBt5xHKeguIF3HMcpKJkMvKRtJb0g6SVJP6iXUo7jOE52Uht4ST2BC4GvASOAsZJG1Esxx3EcJxtZevBfBF4ysylm9glwPbBTfdRyHMdxstIrw77LA68n1qcBG5R/SNJBwEFx9UNJL3ROvJYC3p5fXlfV7C65lWXnJbc+sotxLpr7HFeW3Wpy85TdanLrI7vLcldKc5QsBr5TmNklwCVd3U/So2Y2pt765CU3T9mtJjdP2a0mN0/ZrSY3T9kutzJZXDRvACsk1ofEbY7jOE4TkMXA/wtYRdIwSQsDewG310ctx3EcJyupXTRmNlfSOOAvQE/gMjObVDfNUrh1Giw3T9mtJjdP2a0mN0/ZrSY3T9kutwIys+44juM4jtPN+ExWx3GcguIG3nEcp6AskAZe0saN1qGr5KWzpN3ykBtlzzcvwnGc7qPhBl7SOYnlw8raLs8gt6eksZImSForbtte0j+AC9LKjXLOSSy3hM41ODsnuQC/zUOopNfykFtPJPWWtFb8691ofZoJSX0brcOCQsMNPLBZYnn/sra1M8i9FPgOMBA4T9LVwJnA6Wa2Tga50Jo6V6Mu8/26WXYuciWtKulXGWX0knQ6YWb3FcCVwOuSTpe0UAa5WySWh5W17ZpWbo3jbS3prowylpc0JoZRI2mwpFOByXVRsv2xBkg6LqOMwZJOknRT/DtJ0tJ10O3GxPJpZW13ZpVfi2Yw8KqynJUxwNZmdiywHbA9sLGZ3VoH2a2oczXyDKPKS3YmuZLWlnSnpGcknSJpWUm/A/4KPJtRtzOAJYFhZraema0LrAwMIDys05Lc93dlbcenFSppC0kvSvpQ0tWSRkp6FPg5cHEGuYcDTwDnA/+U9B3gOaAPsF4GuStIukTSHyR9R1JfSWcBLwKDM8jdmDC3B8JD+cq4/HAd3KOrJJa3LmsblFF2TXJPVdAJekhagvCwKS2XjGbPDHI/MbPPAczsY0lTzGxWRl1LtJTOkp6mslEUkKmHIun3NWQPzCD3yGpNQL+0ciO/Ihivh4BtCYboCmAfM/s4o+ztgVUtEX9sZu9L+h7wPHBY1T1rU6tTkaWTcRYhV9RDhMywDwE/MLOsLsGDgNXM7D+SViQY4I3NbGJGuVcC9xMectsCjxJ+v7XN7K0Mcs8CdjazxxPbbpd0C/BLKuTZ6gK1OiS5xqk3g4FfHJjIvIv0sURbli+/uqSn4rKAleO6ADOzLK6UVtN5+ww6dUStXmmWHutiNdrOzSAXYBEzuzwuvyDpMDM7OqPMEpY07omNn0nKcm1YleVK612Sa2b3xeVbJb1RB+MO8LGZ/Sce4DVJL9TBuAMsaWYnxuW/SNqd8GD+PKPc/mXGHQAze0JSrWuxMywqaR1Ch7BPXFb865NRdk2awcB/2cxezUHuGjnILNFSOlfTVdImwFjgkAyy768iewVC+oqK7Z2Qe1K1Nknrp5GZoHfiJgP4b3LdzB6rumfHPCvpm2Z2ZXKjpH0JPfi0DJd0e9SxtExcH1Z9tw4ZUObD75VcN7ObU8odIum8xPqyyXUzG59SLmVvzLOAxSWVfrv/pBerJczsnbKNS5Ldlf0m8H9x+a3Ecmk9Nxo+k1XSY9FPmZf8YcCacfVZM5tSB5ktp3NC9jrA3sDuwCvAzWZ2fp1kD4pyxwLLAbeY2YQ6yR4R5Y4F3s2SiU/SvTWazcy2qNHekezlgZuBOYS3PAhjK32AXcwsVUI+SV+u1V7tQdsJub+pLdYOTCm3PPigXPAVKeVOBT6nslvKzGx4SrkHAd8FJjDvjXw94DRCGpZfppEbZW9oZv9Mu38WmsHAP55HhIik/sCvCTfXE3HzaMJN920zez+D7JbSWdKqzDOObwM3ABPMLFWO6TLZiwG7Eh4aqxKM255mNqQOsocyT+9PCTmxx5jZ1Kyy80JSr5inaQvaP6TvySj3cjM7ILOCDUBSPwAz+7DRutRC0vbA0YTfzQgD7meY2e8zys21Q1jz2E1g4GcQqkFVJO2rnEI8+lTgJyX/XHyN+xHwBTP7Zhq5UU5L6Szpc+ABwkPipbhtStreTpnsOcAjhEiOB83M6iFb0kNAf8J5vt7MJkt6xcyyuCOS8gcTXFMlIzwJuNDMZmSUm8vNnKeRUJhz8X3an4szzezpjHK/BxwLlOLePwROM7OLMspdGNiH9vpea2b/zSBzXJ3GHirJzqVD2BmawQeffJWtJxuX93ji4NdPJGWNw201nXcl+MPvlXQHwWjWK7zz2Cj7IuA6STfUSe50QtWwpQmhZJOpU8RBDHu7FriceeFw6wGPSNrHzP6eRXxG9apRGqirKD/tuIGknQiD4T8jRJJAeIO8WdIEM7stpdzjgS8Bm5dcjJKGA+dKWtLMTkkpdwQhLfnfmXcPbg4cJ2knS5/R9kDym0w4LDFmMh9mtmNOx22KHnxePZ7JZrZKlbaXzOwLGWS3nM5RRl9C3dyxwBYE43aLmWWebBFv3r2i7FWAE6LsFzPIXJzwcCrJHAB81cweyajrP4HvlUdNSBoN/NLMUofESZpG+0G0dphZ1bYO5H5AiNOu5ntONW4g6Ulgp3K3V3SP3WZmo1LKfQEYZWVhp5L6AE+a2aop5d4D/NzM7irbvhVwnJl9JaXcPN+QJhMmMFYk7fhJp47dBAb+n2a2YQ5yrwBeBk62xJeU9CNCnPJ+GWS3lM6V/LcxEmF3gr98y/RaVzzeWgSf/B5ZH0oJmYOBPQkPkRXNbIUOdqkl61kzG9HVtk7KfpMQY1+tp101OqgDuXmN+0wyszWrtKU+F5KeN7PVu9qWUe5zZpYqEk3SXGB2pSbCA7R/GrlR9gLtotlDYSJERcwsbd6RQwlT/1+S9ETctg5hhPzbKWWWaDWd54uftxAOlqpebkeY2TPAD+NfvWTOAM5XSN+QOqwzkmtInJn9JKOM7mSupBXLr1lJKwFzM8h9Q9KW5YPLcfD5zQxye0hapNzfrpDvJ4s9ezpHI/xKTnI7pBkM/B8JvtVkj8cIftfBpJwZGiNOdpe0MlDqhRxtZi9n0LVEq+mci/8W2lwH5ZNw3gbuBY6xlDNxFeLof0QIt7wVuA74CbBfXM7C2cCdkiqFxGVNvpaXD75eE7HKOQG4WyFHTDKs8wfAMRnkjgduk/RgmdyNCW7CtFwJ/E7SIRbnd0R30nnAVRnk5sm5kjar1mhmf8vrwA130ZQTf6xjgK2A8yxDjLakXoTp16VXuueAO8wsS8+k0nGG0sQ65+W/rXG8JYADgC+Z2e4pZdxLmCRVSidQSilwhGWbkl6SnwyJgxCJUY+QuEHAZ9XaLeVEnHg+qt2slsXNJmkUcBSJsE5CFM2TaWVGub0Jrrqk3GvK/fIp5I4j/HaLEq7pDwn6Zrnvfmhmp2bRq4bsSteUEd6sVzCzLOlNah+7WQy8pFWA4wg5H84CrjCzTzPIW56QPOpN4HHChbAOsAzwFTP794Kic6N8gFkGriQ9mRzgi4OXK1r2Kem5IukV5n+7K2GWfiJOpQRdGxIM3Qwzyzq7NxckDWBesq0Xzey9OspeDMDMPqiDrPOpEaVlGWbeVjjWxoSw4iWAn2btVNSi4S6aOCB3HOEpfzohVrtqD6gL/BS42MzOKTveeEJIWM2ZdrVoRZ27G4XUuJmuL+UzJb0k+yvAONq/KV1g8/KypMLqFKdfQW5bWK7CrNYfAb2Bg83sz1lkK8w6HU/7c3GelaVb6KLMRQhJunYi+KB7ACspJO862Mw+ySB7NUIys9Xj+nPAJVkitghJy3JF0paE382AU8sjgXI5ZqN78JI+A14n+LXnM5Jpn5wdjLa/YGarpZEb928pnSVtndfFpMq5yJcgRLw8mHbAUTlNSY+yv06Ief4JwQcvYF1Cr2qcmf0pg+x9zezquLyxJWLqlXEyjaSvRh3/S+j51Uq50FmZ+wOHA0fS/lycAZxjZqn82pJ+QkiTfHCphx173BcCr5rZj1LK3YgwW/qShL7rENIM7Go5pARQnJ2cYf+vEzqE7xF+twfrplxHx24CA38AtV+N0uasqOqWyOqyaDWdVTtdsFmGzJqaP5eJEXrb95nZH9PKzRNJ9wGHlfuYJa0NnG9mNfO+dCC7zS1V7qLK6LL6F2EQ/wzCuEQ70g6UK8wJ2Msqx8FfbynDgSU9A3zRzGaXbe8H/NPM1kop98+E2bD3lW3/MiHN8ddSyn3QzDaJy1dZIiQ5y+8W9/+cUADmSSrch5bjRKeGu2hsXtrW+YgDjmlZvErvUoQp8KlpQZ1zSxdsZt/KQ26ePWFgmUoDiGb2lLJX8Mkrb/tHhMHEb8S/JEaYuJaG/uXGHcDMpirkRkrL5+XGPcr9UNnSJq9cyY1mZvdLyhLymywjWD4vIGtkVKrJV/Wg4Qa+1pOTkOMk7ZPzfmCHKm2ZwpJaTWerni64B2GWaKbUxzn5s48Ero7L59P+nGadVv5RyrbOkEvedjPbPO2+HTAnZVtHWNkYSpIsA+W1BlSz/HZ5FuV43KokClSN+TT1oOEGnpyenLV6lnXopbWUzrEndgght8vtwF0Eg3wU4bXxmgyyk/7snzDPh3tZ7Gmn9Wfn1ROGUEilUm4QAVkTsJWKtiQLtmSWLeloMzs9Lu9uZr9NtJ1qZmknla2R0LHdIcl2LsqL4tSLFdQ+z3wJEa7vtAyQtAthMHhA4k1ahO+ShfuIHRRJ95SFtN5K+g5hhzSDge+WclYxXGs3QlzuGoQJNGlpNZ2vAt4h+G6/Q5hhKkKJsicyqvn9KCfp8nhCoa7n+UBaA59XBSOoPdEmSxUqyK/QzF6EiC0ICd5+m2jblvSzhvMqMjM0D7mE660aWSJh/gaUfOHlb9JZJyIlH3JL1mirO81g4HN7ciokNtqJYCDXIZSB25nsP1ir6TzczEZG+b8mxNmvmHXCSSQvf3YuPeGoW8XkTspYhSqybB6RHOT0RlPDfZe52lcFmSsTruu9rEr+m46oFsCgMKmqmnuzM3IPSLtvZ8RXWa60XleawcDfTw5PTknXApsCdxJ6kn8FXsoa5xxpNZ3bJl9ZqA06rU7GHfLzZ+dZcrENVahClVHkRcx7HX/IzDbKKK9E7kZCFap91UHmcoSQ2b2BkYT5HHtllRtl9wS+SvjttiHUPPhtzZ2qy2pLyCdp/7SRcFUYrFBEXoll4vqgOh5nPhpu4DvwO++WQfQIglviOeA5y170uI0W1HmUpNIgjwiFf99nXphklmiJXPzZNi/PyADqPBNSlatQDbM6VKGifW+6dx3klRiV+M36lP2eqY+jytW+ZCnT7ibkHhRlLg/cSEiWd5ulzKZZJvvLhN9uO0JQw8aE369SNsjOkkyLfBhQTwP/K+YVkU8uQ6jglhsNj4OvhaTXzCz1KLOk1QkX2Z6Ei3c1YC0zm14nFSsds+l0lrSQZUih0IHsvGqFlmZC7kzoTYpQsq8eMyFzqUIVZT9JKEDRg/AGtjkJo28ZZ+DWG+VU7UvSJ4Qxn6PM7NE6yp0GvEZIyXyrmX2gOlT6qjV/oZVpdgP/umXI+10maz3mvX5OM7Mv1UNuheM0nc6NuGBL/mwzOyPl/icT3gDqOhMyyjmc4CboS8hMeQNwV50M/FRymoEb5Y9kXjjqs5a+glFJ3s6Ec7ExUKr29es6GMyBzHN9LUPoxR+Q9d6QdA7hof8MoSrXbYRUv1nPa6kMpwidq3YlOS1jLpqcQok7Pm6TG/hMveEqMgVsajml6GxGndVNycYq+bPNbEJKWbnMhCyTVfcqVHmhUN3qNmBFQmirCD7t1wgVmVIXkY/y86z2NYRgNMcSHqq3ZAjrLN0Pm0d52xECG74N/MlSFvZWSNlQlSw+eeWYGqPDYzfawKv2NPpVzWyRlHJ/XKvdMhRlaDWdlVMZuSi7kj97z6z+bElPWZUUCpKeLkUF1QvVqQqVcpqBG2O/PyHUBygVZO8B/BzoY2aHptW5wrGWIDyo97L6p5JeNcqtS1EUhaR22xIe1F81s6XqIbfsGFlz0dxHTqkxOjx2Exj4lWq1Vwvj6oTcoyps7kt40g80s35p5EbZLaWzciojF2Xn4s9O+LIr6XyvpawVmje1fLlZXGWSngXWLjc0CqkxnraUperyQvlNzKp1zD5mlmr2rfLNRZNL+cLO0AxRNK9GP+AXCBfqX+okt1QhvtTLPAz4FsG3dla1/Topu9V0zrOM3LGE3tNFwHWSbqiT3FozITP1SjQvZ3vbpsS6mdnKWcRXWa603hU+qdSLNLO5kv5baYfOoPYVuUr6GcE2LGxmaW1ELhOz1EHhEyBt4ZM8c9HkmRqjJg038JIuIpzQfwAnS/qimZ1cJ9lLEnKa7EMIe1rXyupwppTbajrnNlvOQu76cxL+7FuB5SQdQwZ/tuU3ExJC6bgkPYA9gAmEQitZyCtevbcql10UkMolCGBmyZC90hjHIcD/kG1OQF4PukpjOm2FTzLIzXN2ep6pMWrScAMPbAaMshDzvSghZCuzsZR0BsE3fAkwMu3gSxVaTeedkqGSCgUTtiNEo2SazFJ63TazKcCpwKnRnz2WkKYglT87L182gMU6sdGHvR9h+vsTwNfN7Nm0ciN5zcB9i+rjKPUoYTiAkBf+m4TolPUtZT3dSF5J1/IqfDJA+eWiyTM1Rk2awQdfNz9lmdzPCYUR5lLhddwyTO5pNZ0l/Y0Q5zxZ0hcIPvNrCBOrHjGzYzPonEsIZl6+7Lj/QoSMlEcADwI/txgDnpW8xmfyQtJShKRzewKXEQb96jGZ7DOC+0FAH6AUDSWgt5ktlEF2HoVPyusatMNySoudN81g4GcDpZtLhCowLzHPqKUuRpEXraZzMupEIb58STM7RNLCwMQsESkdDIZmKTL9uMXQzvIwz6xhnzGqaC5wDiHMsB1Z32qqHLMHMNbMUmXuVOU6AW2k1VnSR8BM4DdUSMWbJcIqD5RT4ZM86SDqLld70QwumlxG/yVtYWZ/jcvDzOyVRNuuGW/iVtM5eXFtQbg5MLNP4ltDFlan9mBoWrdEnrlX7o4yRtF+inpJduprQ/mlZq6VSCuLzmcw73wuVuuD9SC6gg4xs5+mFJEsfLIb7a+7LIVPUMhts4SZvR3XFwYOAI7IGKWUW8Gdjmh4Dz4v8nzFz4scQ+yuJvhp3wB+QMzbEW+2+7OEHGbtTdeQW3pLSr4hEdeHm1nfavs2Ekm3MS8185bAYILOh1n21Mwtg8JM5h8RJrzdSpgx/BOij9/MDmucdvMjaS9CaoyPgMnATwkuq38BJ9fzzUBhlu9mwGvJMYU8aHgPvixMi7j8NnAvcEyGgZ68RvFbUefvEkIuhwLb2LzZoSPIeZAnA7nGdefYW8slNbOkHYCnbF4Sth8TerCvEh4er9Tav4bcG81sj7h8mpkdk2i708y2SanylYRMq78jhEU+ShjIHmlmmQeFy5G0NWES2NYpRRwPrGdmL0lal/CA/oaZ/b4Ouv2BUC/2GUnLEmazPkoYhL8kRqLlg5k13R+wBGEA7LcZZDxWabnS+oKqc52+9wFVzoUyyt0wR533IlS4/zfBCG1DKIp8CyEsNYvsXH434Clg0bi8PfAisB6hgMtfMsh9vIbuj2eQ+2TZ+jSgRx3Owxbxu39IKOk4kmAsJwK71vF3e6aO19ukxPIPgSvj8mKEh3ZdjlPpr+E9+EpYiPs+W9J+HX64OsNj7KkSy8T1TImUKtHMOtcY5AHAsg3yrChpdTN7XiED5B0Ev/ZcSXub2d0p5eaVVx1y7K3RPq0v1C81s9m8N69dgUstvN5PlPS/GfTNLf5b7WuyziIUlRdkyqp5FnAQ4Tf7Wvz/A8tWhB3a52mHECrZtm7ZBpuTmVy3JKQMxkImzKxjYDVpSgMPbaFsWfRLxp6WuyFycUs0sc55DvLsybw5AKWETYMIeWmuIAxopiGvvOoQZoW+BCHqQtLkOhl3zKxnPeRUQHES0myCkbgo0Zbl/CwaJ1D1IDyMSuM8pfDGtFSaiVzyY2cafLd5GRhvlfRGHYw7zJ+nvXw9C69LOpTwFrMuoROEQvW21OGinaHhBr5K+NcSBMNxU1q5VpaHPBrftYA3zCzLjLeW09lyLJ5BMJalnt5XgevN7DPgOYU8KWnpEXuAPRLL9cqrnltvTaF03MGECV5PAZdZhkRVCc4h+LDfJxSDKeVYX4fg50/Lm4ResQgD8cmORGpfueU3E3lA2f3XK7luKSPNLOZjkrSUxXGZOvJtwgDzVoREfO/G7RsSwlNzo+FRNBUmGBjhde4+M/tjBrm/IEzamKSQavUh4DNC0dsJZnbdgqKz8i2e8U+CH3g68ALB9fFKbEudSEk55lWXdEKtdsuWfO0Gwiv5AwQXwqtWp4gRScsTonKetHkZJZcFFjKz+eL5Oynzi8DrZvZmXN+fMHg7FTgx7YNU+WXVvJwauWjM7MCUcrcnGNtPCdfdHmb2jzSyunjcTJkqOyRPB38j/2g/sHE4ofoLhOIDjzdav+7UmeBCuQZYLLFtMUKkw8kZdd4QeJ7wgPtRYvt2wHWNPqcN+A2fTiz3on6DrPsmljcuaxuXQe5jhIlvEEL3/k0w8CcDN2WRW2m50noz/BHetlaPyxsQwofrJfvBxPJV3XkueqR/NNQHSd+VtEpclqTLJL0n6amEPzANyV7p1oRYXKwOIVotqPMuwHctVkaKMj8A/je2pcbM/mlmq5vZQEskXDOzP5nZ2Cyy80LSjYnl08rasha4SBY4r2fPLOlSOr+sLVWvNdLT5vXS9wQuMbPfWaiYlTovPjmF/CpUdCotH1bWdnlaucBcM3sewMwepr6TvvLMVFmThht4Qnz21Lg8lhCBMZxwQZ+bQe67kraPPspSOTKiXzjL4BG0ns6fW4WCxBaSmWWNlDgnsVzPGy5PVkksl8dNZ61yP0rS+/HvA2Dt0rLmFcpOQ15zJHomxkq2JNSRLZFlDCWvmcibJZb3L2vLEg02WNKRpb8K61nILVKpIxo+yEp4cpZ6PdsTYkRnAXdLOr3Gfh3xP8B5BPfG4Yle8JZAaj95pNV0tvJBygRZw7TKb7jkA66pcvIkyO2Gs/yiaPIymNcB90t6G5hDGDtAISldlkH4vLJq1nrQZSHPKJo8M1XWpBkM/OdxoOgdgiFL5qhI3Wu1kId82wrb/wJkLdDRajpXCllrE59BLuR3wwWBoVhx6bV2ktUhcyDzhwaW8qxnDQ3Mk1wMppn9VNI9wLLAnRYdw4Rzk6UM4H2E9NHTqG8vtVZ0VeqHq2UYWO8E9wM7JpaTeYVyqQ1dohkM/I8JM9F6ArdbrBKvkOt5SiMVq0FL6Wz5Fs/I5YaLESM3Ax8THk4Au0ef+S5m9kYGnZO51cvzrNd9Gn2dyC11g5n9s8K2rIXH/0JIZLYscCNhwP3xjDJh/s5KMkdMXd0dqlPOKmtgquGGh0lCm495MUtULlKo8i6rb6GOutGKOudBXuGMkm4BbjOzy8u2fxPYzcx2qrhj52QvlHCxtTTKmIY4bxTy4+8V//oQXELX1eEBkjuqYyI95Zf7qPZxm8HAO045kl4ws9W62tZJ2TMIqXyvJRTwbvqbQB2kIc7ywOsuoivsMkLx8FRvdwrFx68hPCRyfVuWdIqZHV8HOd2WqbKcZoiiyYVWjO5oRZ1zpOK1GXusWQcy1yDcXD8iTCM/V9KGGWXmzVXAasDThIll9xJyou/czMZdUi9JO0i6BvgzYTJczeIlHTAW6AfcJekRSUdIWq4Oeq6eWF4EoGTc63BtlHIfLUdISPh74Htmtkuexh0K3IOX54OvJD+PActckHQ24UY+3Mw+itv6AmcDH5vZ+DodZzlgd4ILYTAh1cJx9ZBdT9S+KldP6pSGOC8U0veOJUx4ewS4nuBy+6iOx9iQELu/G/AyIc/8r1LKyrNEZLm8Z8xsrbTyukLDe/CSVpR0uqTTor8OSVvVQ3SV5eyCW0xnSctLehg4kRBxMRw4MfaAlq/XcerM0YQwvVclTZT0GGHuwfvAhHodxMz+DVwKXEwoWfedesmuM8kJVJ8B05rVuEeOBf4BrGFmO5rZtfU07tA2ye4IQhGRAUCWpGO51Y9g/pj6AXWMsa9JM0TRnAucTnjYnE8IJzqQ9FkIS+QS3RFpNZ0vAC6uMmB5EbWrvneKer8dxEHQCZKSMypfrjRhKw0KScF2IPQyv0SYVPYDgm+7GckrDXEumFnq0nmdQdL6hN9uN0J+pV8Cv80gMq95BpBvjH1NmsHAf2hmDwEolGmD+vRe8wynajWdR5jZfCkJzOxKSZncEXmGMyqUNtubUPcVQobK6yx9xayS3GsJmf3uJwzY7d3kveE8J1C1FJJOJbhl/kNw+2xsZtPqIHqIpPMI915pmbie6S3X8s1UWZNmMPDPS/oT4UQ+ELdlmdJd4ssW0+TmQKvpnOeAZS5vB5LWIEyb/wvwOOFcrw/8UKE4+fMZdL4D+J9kbp5mR/mlIW41Pga2NbPJdZb7/cTyo2Vt5etdQolMlQoFProlUyU0ySCrQiGDUm6UesnMdSC1lXTOc8Ayr3BGSTcBN5rZjWXbdyP0uHdLIzch52sEP/GIuGkScJqZ/SmL3LxQjmmIWw1JaxEMcptLEDjLzJ6qvleHMnsT5rXMLNs+CPggyxuewqzjPSxUPdsAON3MvpxWXldo+CArBCNZyVBKyjIDLNcsbcAQYIOSoW87qDRfqoEukJfOeQ5Y5vV2MLLcuAOY2e8IRVBSI+m7hHS4JzJv0PkkwsDzQVlk58gIM9vXzH5JCI/ctNEKNQJJOxHqGNxPGPc6MC7/Lral5Twqn9NNCB2hLOSZqbImTdGDr4ak18xsxZT7ziD46CqSsdc6njDp5DlgNKGq/W2xLXUvPE+do/w+1HnAMq+3g1rnsQ5ha88Cm1hZMYvo838wz5mFaWmVUN+8kfQksJOZTS3bPpQQhjkqpdyJZrZelbZJZlae5rcrsqfRPh3Gkcl1y1bvtSYN98FrXtKk+ZqApTOInsO8Qb96813CxIUP44V1k6ShZnYu2Xrhuemc14Al4e3gZ4S3g1cJ338FQj3WH2aQW15Wr4TIntJX5cYdwMxmSXm/+KWmFEUD4Rw0dRRNjvQqN+4AZjZVocRlWhat0ZbV07FAR9EsTajl+U7ZdhHiaNMyy8yuyLB/LXqUXErxwtqcYORXIpuBz0XnPAcscwxnrHUT/Dqj7PcljTKzJ5MbJY0ixMI3HR5F08ZcSStaWYnCeO9lGXSeIemLZvZImdz1gZlV9ukUlm+mypo0g4H/A9DPzJ4ob5B0Xwa5qeuMdoLpkkaXdI49+e0J+SVGZpCbl84nE9xIlQYsf0qIJU5NHm8HtW6KeNNl4SjgdoXauqU3pjGEfPb7ZpTt5MsJhLoLp9L+t/sBcEwGud8HblRICZKU+03CLOe60l0utqb2wWdBUk3ffXkPoIuyhxAGTuZLLauyAsNdlJuLznlFusT9K70drEOolJQ1nDF5nBGEiS1jgXfNbExGeUsTxlHWJMwxeBa40MymZ9XVyZf4pnUU86JongXOLH8jSyF3aUIZy9Ig/iTgAjObkUVulWM9bnXKVFnzOAU28E8Tbtyky8QI/tvBzfjKm5fOOQ9Y5hbOGMc3Skb9U2AlYEwlH2wX5e4EDDGzC+P6I4RzbMDRZnZTFvmO0xGqU6bKDo9TVANfTjQWxxBmMJ5nZuWFi5uOeulcYRS/rYkQ/bJCBh3zioN/COhPiCq63swmS3rFzIal1TUh++/AXmb2elx/AtiCEA30GzPbMusxnHyQtAkw3MyujOs3AUvG5lPM7K9Vd64tt9S5mq+JMIiduvykpNVLb7KSFjGz/ybaNrQKBVfqRTP44HNF0irAccAGwFnAeGvyYg856JzngGWtBFJZkktNJ0wRX5rQu55M/Sr2LFwy7pEHY1TNf2KIp9O8nET7UoKrEQpn9CVEbaUy8MDr5FNiEELdgdJb8kOJZQizvXPzxRfWwMfZbscR/HSnA9+2kIWvaclL55wHLHMJZzSznSUtTsgdfmJ86A2oFOmQgiXKjjUusZo1BNPJl/5m9mxifbKZTQSQ9LMMcvMqMQjtXa71zlRZ+8BFddFI+ozwVP4jMJ+RzDppKA+6S+d6DlhKOqFWe9oQMUm7mtnNifXBwB4EnVfM6Fa6BrjPynKHS/ofYHMzG5tWtpMvkiab2SpV2l4ysy9UauuC/LqXGFQDa1MU2cAfQI1XrRxj5FOTp855DVh2cMz1zexfKfetNTC8kmVIyhYfFrcC/2Vexs71gEUIFZI8kqZJkfR74Bdm9sey7dsTqiR9vY7HylxiMMopzVAXIRNmaba6CDlqskzorH3sohr4WkjqZS2WiS+LznkOWFY4Vl3eDrojTljSFrTPYZ/Wf+t0E5K+QHjD/QftH85fArbP0tOO8nsRkrntBWwJ3Efowd+WQeb+tdrz7GwW1sBLetDMNonLV5nZfom2pszjkZfOkm4lDOTcTihr9g9JU8xseJ30Hkqd3w4U8uy/VKmJjFENTmujUDN1H9pnk7zWsmV8zK3EoHLMVNkRhR1kJYyqlyhPFNSsCUdy0TnPAcuyt4PdEm8HU7PIJVTp2SGjDKeAxDDDy+os9lhCtMtRZlaeNiUr5xFqENxctn0TYBvge3U+XhtFNvC1Xk2a9bUlF50TA5a/AX6TGLA8O+b1SD1gSX7hjJ9k8bM7Cw71eCO3fEsMrmdm86WhNrNbJJ2S43ELbeAHSNqFkAlugKRd43YRSuM1I3npfDyJ3kOcen0BcEGMGkhNjm8HqdI9OAskzfpGXiLPTJU1KbIP/je12s0sSzGRXMhL5zzHHPIKZ5R0FPMXQn6bMCnplQwqOwWju6b9p0XS/cD3yzs8cQ7KWWa2WW7HLqqBr4Wk3SxUBmoZsuic54BlXuGMVeLrlySklj7RzKoWRnGKSyOn/adF0hcJk6cup0KmSgtVnvI59gJq4FNXimoUWXSWNIkQHVCRjDHl3RqRJGlJ4O5mjIJy8qeRk4ayoG7MVJmkyD74WjS7z64SWXTOc8BydVWuypVLOKOZ/Udq3rJLTu40bNp/FuLkuZqzvvNgQTXwrfjakkXnPAcsuzWcUdJXmL/6l7PgUD4uU62tacgzU2VHFNbAd3BSc5sanIUcdX6lLCFYPQcsc3k7qHIulgT+TfBdOgsmQySdR7gnSsvE9eUbp1ZN8sxUWZPCGnhg+0YrkIK8dO5XYdtQ4DhJWQcs83o7KD8XRqhZm3lmodPSfD+x/GhZW/l6s5BnpsqaFHqQVdLOhELQT5vZXxqsTqfoTp3rMWCZVzhjnN59MPFcAJe2Wv4gp/40ctp/VvLIVNkRuQbZNxJJFwFHAAOBkyX9qMEqdUh362yhyEXWgal+hGIipb/+hBCwP0vKUqz4iijnaULyp7My6ukUg/OATSts3wQ4u5t16RJm9qqZnWahFutYYGfguTyPWdgevKRngFFm9pmkRYEHzGy9RutVi+7WOQ5Y/iiPadpZ3w4kPW1mI+NyL+CRZg2Bc7oPSROr3ROSJplZeQ6npiGPTJUdUWQf/CcWqyGZ2ewWCa3LRedGDFjWIZyxrUShmc1tjZ/P6QYaNu0/LVUyVR7UHeNJRTbwyfhsASvH9WZON5uXzt0+YFmHcMZRkt4viQP6xPXSueifVUenJZlRKc9RnPY/s8o+jSbPTJU1KbKBX6PRCqQgL52nk9OAZV5vB5ahgo5TaL4P3CjpcipM+2+UUrXIOVNlTQrrg3fmIekGgsvjAYIP8FUzO6xOssuzUdbl7UDSFhYrLEkalozIKU9w5ixYNGrafytSWAMv6QMqh+/dCxxjZrMaolgN8tI5zwHLvMIZWzXniOM0E4V10ZjZYuXbJC0BHAD8Ati9u3XqiBx1znPA8gravx2MAOrxdtCSOUecfGnktP9WpLAGvhJxgONsSft1+OEmoU465zlgOSLxdnApIUqgHrRczhGnW2jYtP9WZIEy8ACSFqLFvndWnXMesMzr7WC4pNsJD6HSMnF9WL0O4rQcDZv234oU2Qe/a4XNSwB7EqbR/6SbVeqQvHTOc8BS0mdAaUBVhCnYs8n4diDpy7Xazez+NHKdYtCIaf+tSJENfHn5OwNmAfeZ2R8boFKH5KVzqw9YxjwjlOcfcRwASesAlwFre3hte1rKVdEVrAlrrnZEjjrnNmCZ19tBnAX7Y+BQwgxFSZoLnN+Mb19O91Jl2v+JDVSpKWnKqb31QNJ3Ja0SlyXpMknvSXpKUlP2WHPUOc8ByzMTy+U1Y7MUQj6CkEBqfTNb0syWADYANpZ0RAa5TgsjaWtJlxEGWb8L/BFY2cz2yjOnS6tS2B48IVTv8rg8FhgFDAfWAc6lcka6RpOXznkOWOb1drAfsLWZvV3aYGZTJO0L3EmTZw50cqNh0/5bkSIb+LlmVorw2B64Mk4UulvS6Q3UqxZ56bxTYvnMsrby9a6S19vBQknj3ibQbGaMKnIWQBo57b8VKbKB/1zSsoSEV1sCP0209WmMSh2Si87JiJMcBizzejv4JGWb4ziRIhv4HxNKePUEbjezSdAWfjelkYrVIBedcx6wzOvtIDk5K4mA3hnkOs4CQ2HDJKFtpH2xpK9OUl/C9/6wcZpVJw+dFQpuf42Qg/qVuG04cDFwh5nVxZ/t4YyO01wU2sA7AUmPUzZgGbcPAu6MJcTSyp7v7QDwcEbHaQIKGybptKPqgCWQdcDSwxkdp0lxA79gkOeA5X7A2OQEJzObAuxLTuUAHcfpHIUdZJW0IjCOEKp3kZm9KmkrM7u7wapVJUed8xyw9HBGx2lSityDPxe4BbgdOD9uO7Bx6nSKXHQ2s55m1r/C32JmltUIezij4zQphe3BAx+a2UMAkmbHbc1eKKIVdfZwRsdpUops4J+X9CeCoXkgbqtkiJqJltPZs/c5TvNS6DBJSf0AmjXmvRKtqLPjOM1JkX3wmNmHlQylpGZOJTwE2KBk6EtI2rZB+jiO06IU2sDX4KRGK1AJSeOB2wiThp6RlEwDcGpjtHIcp1UprA9e0lPVmoClu1OXLvBdYD0z+1DSUOAmSUPN7Fyaf7DVcZwmo7AGnmDEv0rIzJhEwD+6X51O0aPkUjKzqZI2Jxj5lXAD7zhOFymyi+YPQD8ze7XsbyqhvFczMl3S6NJKNPbbA0sBIxullOM4rUmho2haDUlDCEU/3qrQtrGZ/b0BajmO06K4gXccxykoRXbROI7jLNC4gXccxykobuAdx3EKiht4p6mR9JmkJyRNkvSkpKMk9Yhti0q6RtLTkp6R9GD5DOAyWctIul7Sy5ImSvqTpFUT7YdL+ljS4oltm0t6L+rwvKQzy2RuK+mR2PaEpBti2mcUOF7SZEkvSrpX0pr1P0uOU5kix8E7xWCOmY0GkDQYuBboD5wAHAZMN7ORsX014NNKQmJpwVuAK8xsr7htFGG+xIvxY2OBfwG7Ar9J7P6AmW0vqQ/wuKRbzOzvktYipHXe0cyeizJ3BIYCrwGHAF8CRpnZbEnbALdLWtPMPs5+ahynNt6Dd1oGM5sBHASMiwZ7WeCNRPsLZvbfKrt/BfjUzH6R+PyTZvYAgKSVgX7A8QRDX+n4c4AngOXjpmOAU0vGPX7mdjP7W6J9nJnNjm13EibZ7dOV7+04aXED77QUsRxgT2AwcBlwjKSHJJ0iaZUau64FTKzRvhdwPSFN82qS5ktnIWkJYBWgZMDXBB6rJExSf6Bv1DfJo3E/x8kdN/BOy2JmTwDDgTOAJYF/SVojpbixwPVm9jnwO2D3RNumkp4kvC38pcpEtIHRB/+ipAkpdXCcuuIG3mkpJA0HPgNmQFtK6JvN7H+Bq4Htquw6CVivisyRhJ75XZKmEnrzSTfNA2Y2itDz/nYincQkYN2ox6w4VnAJIUXG+8BHUd8k68X9HCd33MA7LYOkQcAvgAvMzCRtHN0mSFoYGAG8WmX3vwKLSDooIW9tSZsSjPmJZjY0/i0HLBeTvLVhZq8APyf41gFOB44re2tYNLF8BnBeHJxF0lbAJoSBYsfJHY+icZqdPpKeABYC5gJXAf8X21YGLo4Drj2APxLcK/MRHwi7AOdIOgb4GJgKHE7osZf3/G+J2x8u2/4LYEJM4/y0pMOAK6PP/W1C9MwJ8bPnA0sAT0v6DHgL2CkO1jpO7nguGsdxnILiLhrHcZyC4i4ap1BIGgjcU6FpSzOb1d36OE4jcReN4zhOQXEXjeM4TkFxA+84jlNQ3MA7juMUFDfwjuM4BcUNvOM4TkH5f29lYAvyTuGoAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Cruzamento das colunas Cargo com Gênero\n",
    "cargo_sexo = pd.crosstab(df['DS_CARGO'],df['DS_GENERO']).apply(lambda r: r/r.sum(), axis=1) * 100\n",
    "cargo_sexo.plot(kind='bar',width=0.5, color=['red','blue', 'green', 'black', 'purple', 'pink'], title='Porcentagem Mulheres x Homens nas Eleições - Por Cargo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>DS_GENERO</th>\n",
       "      <th>FEMININO</th>\n",
       "      <th>MASCULINO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DS_CARGO</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1º SUPLENTE</th>\n",
       "      <td>22.809917</td>\n",
       "      <td>77.190083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1º SUPLENTE SENADOR</th>\n",
       "      <td>20.000000</td>\n",
       "      <td>80.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2º SUPLENTE</th>\n",
       "      <td>26.171244</td>\n",
       "      <td>73.828756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2º SUPLENTE SENADOR</th>\n",
       "      <td>24.910394</td>\n",
       "      <td>75.089606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DEPUTADO DISTRITAL</th>\n",
       "      <td>31.125498</td>\n",
       "      <td>68.874502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DEPUTADO ESTADUAL</th>\n",
       "      <td>26.079038</td>\n",
       "      <td>73.920962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DEPUTADO FEDERAL</th>\n",
       "      <td>26.133621</td>\n",
       "      <td>73.866379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GOVERNADOR</th>\n",
       "      <td>11.990687</td>\n",
       "      <td>88.009313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PREFEITO</th>\n",
       "      <td>12.169083</td>\n",
       "      <td>87.830917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRESIDENTE</th>\n",
       "      <td>21.568627</td>\n",
       "      <td>78.431373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SENADOR</th>\n",
       "      <td>15.996169</td>\n",
       "      <td>84.003831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VEREADOR</th>\n",
       "      <td>29.731804</td>\n",
       "      <td>70.268196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VICE-GOVERNADOR</th>\n",
       "      <td>25.137817</td>\n",
       "      <td>74.862183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VICE-PREFEITO</th>\n",
       "      <td>17.650431</td>\n",
       "      <td>82.349569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VICE-PRESIDENTE</th>\n",
       "      <td>23.529412</td>\n",
       "      <td>76.470588</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "DS_GENERO             FEMININO  MASCULINO\n",
       "DS_CARGO                                 \n",
       "1º SUPLENTE          22.809917  77.190083\n",
       "1º SUPLENTE SENADOR  20.000000  80.000000\n",
       "2º SUPLENTE          26.171244  73.828756\n",
       "2º SUPLENTE SENADOR  24.910394  75.089606\n",
       "DEPUTADO DISTRITAL   31.125498  68.874502\n",
       "DEPUTADO ESTADUAL    26.079038  73.920962\n",
       "DEPUTADO FEDERAL     26.133621  73.866379\n",
       "GOVERNADOR           11.990687  88.009313\n",
       "PREFEITO             12.169083  87.830917\n",
       "PRESIDENTE           21.568627  78.431373\n",
       "SENADOR              15.996169  84.003831\n",
       "VEREADOR             29.731804  70.268196\n",
       "VICE-GOVERNADOR      25.137817  74.862183\n",
       "VICE-PREFEITO        17.650431  82.349569\n",
       "VICE-PRESIDENTE      23.529412  76.470588"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Resultado do cruzamento acima\n",
    "cargo_sexo "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='DS_GENERO'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Gráfico para visualizar a distribuição do gênero.\n",
    "df['DS_GENERO'].value_counts().plot.pie()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Porcentagem Mulheres x Homens nas Eleições - Por Estado'}, xlabel='SG_UF'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Cruzamento das colunas dos Estados e do Gênero\n",
    "estado_sexo = pd.crosstab(df['SG_UF'],df['DS_GENERO']).apply(lambda r: r/r.sum(), axis=1) * 100\n",
    "estado_sexo.plot(kind='bar',width=0.5, color=['red','blue'], title='Porcentagem Mulheres x Homens nas Eleições - Por Estado')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>DS_GENERO</th>\n",
       "      <th>FEMININO</th>\n",
       "      <th>MASCULINO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SG_UF</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AC</th>\n",
       "      <td>28.478990</td>\n",
       "      <td>71.521010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AL</th>\n",
       "      <td>27.954987</td>\n",
       "      <td>72.045013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AM</th>\n",
       "      <td>28.180957</td>\n",
       "      <td>71.819043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AP</th>\n",
       "      <td>30.021482</td>\n",
       "      <td>69.978518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA</th>\n",
       "      <td>27.787674</td>\n",
       "      <td>72.212326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BR</th>\n",
       "      <td>22.549020</td>\n",
       "      <td>77.450980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CE</th>\n",
       "      <td>28.455800</td>\n",
       "      <td>71.544200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DF</th>\n",
       "      <td>30.819140</td>\n",
       "      <td>69.180860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ES</th>\n",
       "      <td>28.303792</td>\n",
       "      <td>71.696208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GO</th>\n",
       "      <td>28.507778</td>\n",
       "      <td>71.492222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MA</th>\n",
       "      <td>29.223507</td>\n",
       "      <td>70.776493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MG</th>\n",
       "      <td>27.806932</td>\n",
       "      <td>72.193068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MS</th>\n",
       "      <td>30.084758</td>\n",
       "      <td>69.915242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT</th>\n",
       "      <td>28.651948</td>\n",
       "      <td>71.348052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PA</th>\n",
       "      <td>29.519880</td>\n",
       "      <td>70.480120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PB</th>\n",
       "      <td>26.848801</td>\n",
       "      <td>73.151199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PE</th>\n",
       "      <td>31.909673</td>\n",
       "      <td>68.090327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PI</th>\n",
       "      <td>27.423401</td>\n",
       "      <td>72.576599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PR</th>\n",
       "      <td>27.879398</td>\n",
       "      <td>72.120602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RJ</th>\n",
       "      <td>29.485611</td>\n",
       "      <td>70.514389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RN</th>\n",
       "      <td>28.934673</td>\n",
       "      <td>71.065327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RO</th>\n",
       "      <td>27.964288</td>\n",
       "      <td>72.035712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RR</th>\n",
       "      <td>29.361119</td>\n",
       "      <td>70.638881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RS</th>\n",
       "      <td>28.314761</td>\n",
       "      <td>71.685239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SC</th>\n",
       "      <td>27.754629</td>\n",
       "      <td>72.245371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SE</th>\n",
       "      <td>28.959337</td>\n",
       "      <td>71.040663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SP</th>\n",
       "      <td>29.303152</td>\n",
       "      <td>70.696848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TO</th>\n",
       "      <td>28.770819</td>\n",
       "      <td>71.229181</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "DS_GENERO   FEMININO  MASCULINO\n",
       "SG_UF                          \n",
       "AC         28.478990  71.521010\n",
       "AL         27.954987  72.045013\n",
       "AM         28.180957  71.819043\n",
       "AP         30.021482  69.978518\n",
       "BA         27.787674  72.212326\n",
       "BR         22.549020  77.450980\n",
       "CE         28.455800  71.544200\n",
       "DF         30.819140  69.180860\n",
       "ES         28.303792  71.696208\n",
       "GO         28.507778  71.492222\n",
       "MA         29.223507  70.776493\n",
       "MG         27.806932  72.193068\n",
       "MS         30.084758  69.915242\n",
       "MT         28.651948  71.348052\n",
       "PA         29.519880  70.480120\n",
       "PB         26.848801  73.151199\n",
       "PE         31.909673  68.090327\n",
       "PI         27.423401  72.576599\n",
       "PR         27.879398  72.120602\n",
       "RJ         29.485611  70.514389\n",
       "RN         28.934673  71.065327\n",
       "RO         27.964288  72.035712\n",
       "RR         29.361119  70.638881\n",
       "RS         28.314761  71.685239\n",
       "SC         27.754629  72.245371\n",
       "SE         28.959337  71.040663\n",
       "SP         29.303152  70.696848\n",
       "TO         28.770819  71.229181"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Resultado do cruzamento acima\n",
    "estado_sexo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Criação de um novo dataframe filtrando apenas os dados das Mulheres, que são vereadoras\n",
    "# E se foram eleitas ou não\n",
    "\n",
    "a = pd.DataFrame(df.query('DS_CARGO == \"VEREADOR\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"ELEITO\"'))\n",
    "b = pd.DataFrame(df.query('DS_CARGO == \"VEREADOR\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"NÃO ELEITO\"'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Concatena os dataframes criados acima\n",
    "vereadora_fem = pd.concat([a, b])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cruzamento dos dados da Coluna Situação e Estado\n",
    "vereadora_estado = pd.crosstab(vereadora_fem['DS_SIT_TOT_TURNO'], vereadora_fem['SG_UF']).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>DS_SIT_TOT_TURNO</th>\n",
       "      <th>ELEITO</th>\n",
       "      <th>NÃO ELEITO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SG_UF</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>MG</th>\n",
       "      <td>1237</td>\n",
       "      <td>10321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PB</th>\n",
       "      <td>1092</td>\n",
       "      <td>1822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SP</th>\n",
       "      <td>963</td>\n",
       "      <td>19227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RS</th>\n",
       "      <td>885</td>\n",
       "      <td>2867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA</th>\n",
       "      <td>765</td>\n",
       "      <td>4647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PR</th>\n",
       "      <td>646</td>\n",
       "      <td>3942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MA</th>\n",
       "      <td>499</td>\n",
       "      <td>2131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SC</th>\n",
       "      <td>460</td>\n",
       "      <td>1602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CE</th>\n",
       "      <td>452</td>\n",
       "      <td>1675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PI</th>\n",
       "      <td>451</td>\n",
       "      <td>666</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "DS_SIT_TOT_TURNO  ELEITO  NÃO ELEITO\n",
       "SG_UF                               \n",
       "MG                  1237       10321\n",
       "PB                  1092        1822\n",
       "SP                   963       19227\n",
       "RS                   885        2867\n",
       "BA                   765        4647\n",
       "PR                   646        3942\n",
       "MA                   499        2131\n",
       "SC                   460        1602\n",
       "CE                   452        1675\n",
       "PI                   451         666"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Top 10 dos Estados que mais tiveram vereadoras eleitas\n",
    "vereadora_estado.nlargest(10,[\"ELEITO\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plota os dados por Estados que mais tiveram vereadores eleitas\n",
    "vereadora_estado.sort_values('ELEITO', ascending=True)[['ELEITO','NÃO ELEITO']].plot.barh(stacked=True, rot=0)\n",
    "plt.suptitle(\"Candidatas a Vereadora\")\n",
    "plt.title(\"Eleitas e Não Eleitas por Estado\")\n",
    "plt.xlabel('Número de Candidatas');\n",
    "plt.ylabel('Estado');\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Criação de um novo dataframe agora com os dados de Prefeita e Vice-Prefeita\n",
    "c = pd.DataFrame(df.query('DS_CARGO == \"PREFEITO\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"ELEITO\"'))\n",
    "d = pd.DataFrame(df.query('DS_CARGO == \"PREFEITO\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"NÃO ELEITO\"'))\n",
    "\n",
    "e = pd.DataFrame(df.query('DS_CARGO == \"VICE-PREFEITO\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"ELEITO\"'))\n",
    "f = pd.DataFrame(df.query('DS_CARGO == \"VICE-PREFEITO\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"NÃO ELEITO\"'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Concatena os dataframes criados acima\n",
    "prefeita_fem = pd.concat([c, d, e, f])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cruzamento das colunas situação e estado\n",
    "prefeita_estado = pd.crosstab(prefeita_fem['DS_SIT_TOT_TURNO'], prefeita_fem['SG_UF']).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>DS_SIT_TOT_TURNO</th>\n",
       "      <th>ELEITO</th>\n",
       "      <th>NÃO ELEITO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SG_UF</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SP</th>\n",
       "      <td>437</td>\n",
       "      <td>1322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MG</th>\n",
       "      <td>406</td>\n",
       "      <td>1012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PB</th>\n",
       "      <td>386</td>\n",
       "      <td>599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA</th>\n",
       "      <td>337</td>\n",
       "      <td>685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RN</th>\n",
       "      <td>235</td>\n",
       "      <td>316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MA</th>\n",
       "      <td>234</td>\n",
       "      <td>545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PR</th>\n",
       "      <td>228</td>\n",
       "      <td>519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RS</th>\n",
       "      <td>202</td>\n",
       "      <td>535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CE</th>\n",
       "      <td>190</td>\n",
       "      <td>344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PI</th>\n",
       "      <td>184</td>\n",
       "      <td>401</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "DS_SIT_TOT_TURNO  ELEITO  NÃO ELEITO\n",
       "SG_UF                               \n",
       "SP                   437        1322\n",
       "MG                   406        1012\n",
       "PB                   386         599\n",
       "BA                   337         685\n",
       "RN                   235         316\n",
       "MA                   234         545\n",
       "PR                   228         519\n",
       "RS                   202         535\n",
       "CE                   190         344\n",
       "PI                   184         401"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Top 10 dos Estados que mais elegeram Prefeitas e Vice-Prefeitas\n",
    "prefeita_estado.nlargest(10,[\"ELEITO\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plota o gráfico em ordem de Estados que mais elegeram Prefeitas\n",
    "prefeita_estado.sort_values('ELEITO', ascending=True)[['ELEITO','NÃO ELEITO']].plot.barh(stacked=True, rot=0)\n",
    "plt.suptitle(\"Candidatas a Prefeita e Vice-Prefeita\")\n",
    "plt.title(\"Eleitas e Não Eleitas por Estado\")\n",
    "plt.xlabel('Número de Candidatas');\n",
    "plt.ylabel('Estado');\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### O mesmo procedimento realizado no processo de Vereadoras e Prefeitas, foram realizados para os cargos de Governadora, Deputada Estadual, Deputada Federal e Senadora."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "g = pd.DataFrame(df.query('DS_CARGO == \"GOVERNADOR\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"ELEITO\"'))\n",
    "h = pd.DataFrame(df.query('DS_CARGO == \"GOVERNADOR\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"NÃO ELEITO\"'))\n",
    "\n",
    "i = pd.DataFrame(df.query('DS_CARGO == \"VICE-GOVERNADOR\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"ELEITO\"'))\n",
    "j = pd.DataFrame(df.query('DS_CARGO == \"VICE-GOVERNADOR\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"NÃO ELEITO\"'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Concatena os dataframes criados acima\n",
    "governadora_fem = pd.concat([g, h, i, j])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "governadora_estado = pd.crosstab(governadora_fem['DS_SIT_TOT_TURNO'], governadora_fem['SG_UF']).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>DS_SIT_TOT_TURNO</th>\n",
       "      <th>ELEITO</th>\n",
       "      <th>NÃO ELEITO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SG_UF</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RN</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CE</th>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PB</th>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PI</th>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ES</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MA</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MS</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PA</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PE</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "DS_SIT_TOT_TURNO  ELEITO  NÃO ELEITO\n",
       "SG_UF                               \n",
       "RN                     3           4\n",
       "CE                     2           6\n",
       "PB                     2           8\n",
       "PI                     2          11\n",
       "AC                     1           3\n",
       "ES                     1           7\n",
       "MA                     1           7\n",
       "MS                     1           6\n",
       "PA                     1           5\n",
       "PE                     1           7"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "governadora_estado.nlargest(10,[\"ELEITO\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "governadora_estado.sort_values('ELEITO', ascending=True)[['ELEITO','NÃO ELEITO']].plot.barh(stacked=True, rot=0)\n",
    "plt.suptitle(\"Candidatas a Governadora e Vice-Governadora\")\n",
    "plt.title(\"Eleitas e Não Eleitas por Estado\")\n",
    "plt.xlabel('Número de Candidatas');\n",
    "plt.ylabel('Estado');\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "k = pd.DataFrame(df.query('DS_CARGO == \"DEPUTADO ESTADUAL\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"ELEITO\"'))\n",
    "l = pd.DataFrame(df.query('DS_CARGO == \"DEPUTADO ESTADUAL\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"NÃO ELEITO\"'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Concatena os dataframes criados acima\n",
    "dep_estadual_fem = pd.concat([k, l])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "dep_estadual_estado = pd.crosstab(dep_estadual_fem['DS_SIT_TOT_TURNO'],dep_estadual_fem['SG_UF']).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>DS_SIT_TOT_TURNO</th>\n",
       "      <th>ELEITO</th>\n",
       "      <th>NÃO ELEITO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SG_UF</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>PB</th>\n",
       "      <td>20</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RJ</th>\n",
       "      <td>19</td>\n",
       "      <td>210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA</th>\n",
       "      <td>18</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SP</th>\n",
       "      <td>18</td>\n",
       "      <td>296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MA</th>\n",
       "      <td>13</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RS</th>\n",
       "      <td>12</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MG</th>\n",
       "      <td>11</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PA</th>\n",
       "      <td>11</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PI</th>\n",
       "      <td>10</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SE</th>\n",
       "      <td>10</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "DS_SIT_TOT_TURNO  ELEITO  NÃO ELEITO\n",
       "SG_UF                               \n",
       "PB                    20          54\n",
       "RJ                    19         210\n",
       "BA                    18          83\n",
       "SP                    18         296\n",
       "MA                    13          57\n",
       "RS                    12         112\n",
       "MG                    11          67\n",
       "PA                    11          92\n",
       "PI                    10          53\n",
       "SE                    10          43"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dep_estadual_estado.nlargest(10,[\"ELEITO\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dep_estadual_estado.sort_values('ELEITO', ascending=True)[['ELEITO','NÃO ELEITO']].plot.barh(stacked=True, rot=0)\n",
    "plt.suptitle(\"Candidatas a Deputada Estadual\")\n",
    "plt.title(\"Eleitas e Não Eleitas por Estado\")\n",
    "plt.xlabel('Número de Candidatas');\n",
    "plt.ylabel('Estado');\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "m = pd.DataFrame(df.query('DS_CARGO == \"DEPUTADO FEDERAL\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"ELEITO\"'))\n",
    "n = pd.DataFrame(df.query('DS_CARGO == \"DEPUTADO FEDERAL\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"NÃO ELEITO\"'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Concatena os dataframes criados acima\n",
    "dep_federal_fem = pd.concat([m, n])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "dep_federal_estado = pd.crosstab(dep_federal_fem['DS_SIT_TOT_TURNO'],dep_federal_fem['SG_UF']).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>DS_SIT_TOT_TURNO</th>\n",
       "      <th>ELEITO</th>\n",
       "      <th>NÃO ELEITO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SG_UF</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RJ</th>\n",
       "      <td>9</td>\n",
       "      <td>175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SP</th>\n",
       "      <td>9</td>\n",
       "      <td>373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AP</th>\n",
       "      <td>7</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ES</th>\n",
       "      <td>6</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA</th>\n",
       "      <td>5</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RS</th>\n",
       "      <td>5</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GO</th>\n",
       "      <td>4</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AC</th>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MG</th>\n",
       "      <td>3</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RN</th>\n",
       "      <td>3</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "DS_SIT_TOT_TURNO  ELEITO  NÃO ELEITO\n",
       "SG_UF                               \n",
       "RJ                     9         175\n",
       "SP                     9         373\n",
       "AP                     7          20\n",
       "ES                     6          44\n",
       "BA                     5         100\n",
       "RS                     5          76\n",
       "GO                     4          44\n",
       "AC                     3          15\n",
       "MG                     3          78\n",
       "RN                     3          38"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dep_federal_estado.nlargest(10,[\"ELEITO\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dep_federal_estado.sort_values('ELEITO', ascending=True)[['ELEITO','NÃO ELEITO']].plot.barh(stacked=True, rot=0)\n",
    "plt.suptitle(\"Candidatas a Deputada Federal\")\n",
    "plt.title(\"Eleitas e Não Eleitas por Estado\")\n",
    "plt.xlabel('Número de Candidatas');\n",
    "plt.ylabel('Estado');\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "o = pd.DataFrame(df.query('DS_CARGO == \"SENADOR\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"ELEITO\"'))\n",
    "p = pd.DataFrame(df.query('DS_CARGO == \"SENADOR\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"NÃO ELEITO\"'))\n",
    "\n",
    "q = pd.DataFrame(df.query('DS_CARGO == \"1º SUPLENTE SENADOR\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"ELEITO\"'))\n",
    "r = pd.DataFrame(df.query('DS_CARGO == \"1º SUPLENTE SENADOR\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"NÃO ELEITO\"'))\n",
    "\n",
    "s = pd.DataFrame(df.query('DS_CARGO == \"2º SUPLENTE SENADOR\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"ELEITO\"'))\n",
    "t = pd.DataFrame(df.query('DS_CARGO == \"2º SUPLENTE SENADOR\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"NÃO ELEITO\"'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Concatena os dataframes criados acima\n",
    "senadora_fem = pd.concat([o, p, q, r, s, t])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "senadora_estado = pd.crosstab(senadora_fem['DS_SIT_TOT_TURNO'],senadora_fem['SG_UF']).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>DS_SIT_TOT_TURNO</th>\n",
       "      <th>ELEITO</th>\n",
       "      <th>NÃO ELEITO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SG_UF</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>MS</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RN</th>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SE</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SP</th>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TO</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AM</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DF</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ES</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GO</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "DS_SIT_TOT_TURNO  ELEITO  NÃO ELEITO\n",
       "SG_UF                               \n",
       "MS                     3           1\n",
       "RN                     3           7\n",
       "SE                     2           2\n",
       "SP                     2          11\n",
       "TO                     2           1\n",
       "AM                     1           3\n",
       "BA                     1           2\n",
       "DF                     1           2\n",
       "ES                     1           3\n",
       "GO                     1           4"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "senadora_estado.nlargest(10,[\"ELEITO\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "senadora_estado.sort_values('ELEITO', ascending=True)[['ELEITO','NÃO ELEITO']].plot.barh(stacked=True, rot=0)\n",
    "plt.suptitle(\"Candidatas a Senadora 1ª/2ª Suplente Senadora\")\n",
    "plt.title(\"Eleitas e Não Eleitas por Estado\")\n",
    "plt.xlabel('Número de Candidatas');\n",
    "plt.ylabel('Estado');\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cria um novo dataframe agora com o filtro para o Cargo de Presidenta e Vice-Presidenta\n",
    "u = pd.DataFrame(df.query('DS_CARGO == \"PRESIDENTE\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"ELEITO\"'))\n",
    "v = pd.DataFrame(df.query('DS_CARGO == \"PRESIDENTE\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"NÃO ELEITO\"'))\n",
    "\n",
    "x = pd.DataFrame(df.query('DS_CARGO == \"VICE-PRESIDENTE\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"ELEITO\"'))\n",
    "z = pd.DataFrame(df.query('DS_CARGO == \"VICE-PRESIDENTE\" and DS_GENERO == \"FEMININO\" and DS_SIT_TOT_TURNO  == \"NÃO ELEITO\"'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Concatena os dataframes criados acima\n",
    "presidenta_fem = pd.concat([u, v, x, z])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cruza os dados da situação por Ano\n",
    "presidenta_estado = pd.crosstab(presidenta_fem['DS_SIT_TOT_TURNO'],presidenta_fem['ANO_ELEICAO']).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXgAAAEjCAYAAAA41BqSAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAAAocUlEQVR4nO3de5wcVZn/8c+XBEhISCIkKkkIA0GEIIoYERBZLgoICPxQI6xyie7GSxRYYFlQVuNl0RUQFwER5SoQQAFBFAUWUFgRTBRBElAuEQIJxHBJQsIteX5/nDNDp+nuqZnpmkvn+369+jXdVdVVT53pfrr61KmnFRGYmVnrWauvAzAzs3I4wZuZtSgneDOzFuUEb2bWopzgzcxalBO8mVmLcoLvByS1SQpJg/PjGyQdXmRZe42kZZI2qzPvCEl39HZMZZN0jqT/7Os4uqOz2PPrfPPejKnVOME3IOmfJc3KiWNBTrw7l73diPhgRFzU0/VI2lXS/GbE1MM4jpC0MrfjEkn3SNqv2duJiOER8Uiz11uttxKPpBMk/bbG9NGSXpb0toj4TER8vYRth6QX8v/sCUnfkTSomdsoK/Zqki6U9I2yt9MfOcHXIekY4LvAycCbgAnA2cABfRjWQHZnRAwHRgHnAVdKekP1Qv5msppLgJ0kbVo1/WDgvoj4S8nbf0f+n+0B/DPwr9UL+P/Vz0WEb1U3YCSwDPhog2W2B+4EngMWAGcC61TMD+AzwN/yMmcByvMGAacC/wAeAabn5Qfn+bcB/1Jw2anAXGBpnv/pPH0YsAJYlfdlGTC2UdyAgNOBp4ElwH3A2+rsf83t1ln2COCOisfD8j5MBmYAPyUlsyXAv+T2Py/H9wTwDWBQfu7mwG+A53ObXFHV5pvn+xsC1+V13g18vSqGLYGbgGeAB4EpFfMuzP+vX+T9uwuYmOf9Nm/nhdymHwPeAFwPLAKezffHN2iPscBVeflHgSMbLHsj8OWqaXcDR1XE+o2KeQcA9+T9fhjYu+I1XbNN62y3oy3z45/k10pbnvcp4DHgt3n+J/Pr4Vng18Amnb2masT+7zm+J/P6Kv+f65LeB48BTwHnAEPzvF2B+cCxeTsLgKl53jTgFeDl/P/6eZ5+Qm6fpcAc4P/1dd4pJZf1dQD98QbsDbxKTqJ1lnkXsAMwOL/o5wJHV8yP/EYfRTr6X1TxZvsM8ACwMbABcCv1E3xny+4LTMxvpH8ClgPb5Xm7AvOLxg3sBczOMQvYCtiozv7X3W6NZY8gJ9e83aPyG2skKcG/AhxI+kY5FLgG+AHpg+CNpITW/sE1E/hSXnYIsHNVm7cnhMuBK/M63kZKau0xDAMeJ31IDQbeSfqwmJTnXwgsJn0YDgYuBS6vtZ38eEPgw8B6wPqkZPizOm2xVm7jLwPrAJuRPiD3qrP8x4G/VTx+KylZjamI9Rv5/vakD74P5O2MA7bM8+q2aZ3tVrblJGAhKam35XkX53UNJX2oPJRfL4OBk4Dfdfaaqop9b1Liflte72VVMZxO+sDeILfxz4FvVrzOXwW+BqwN7EN6Pb6hejsV+/dR0gftWqQP6Reo81ofyLc+D6A/3vKbamEXn3M0cE3F42D15HMlcEK+fwvwmYp5e1I/wTdctkYcP+O1o7tdqUrwjeIGdgf+SvoAWKuL+9+x3RrzjshvwOdIifT3wPvzvBnko8D8+E3AS+SjszztEODWfP9i4FxqHCG3JwTSt55XyMktzzuZ1xL8x4Dbq577A+Ar+f6FwI8q5u0DPFC9nQZtsS3wbJ157wEeq5p2InBBneXXIx357pQf/xdwbcX8C3ktSf4AOL3GOhq2aZ3tRt7us6Qj3W+QkmFbnrdZxbI3AJ+qeLwWKcFu0ug1VRX7+cC3KuZtUfH/FCkBT6yYvyPwaMXrfAUV7wnSkfwO1dtpsL/3AAd05TU/EG7uP6ttMTBa0uCIeLXWApK2AL5D6mZYj3TkMrtqsYUV95cDw/P9saQjyHZ/bxBLw2UlfRD4CukNsVaO5b56K2sUd0TcIulMUvfEJpKuBo6LiCU11tOl7QK/j4h6J6gr928T0lHYAknt09aqWOZ4UnfL3ZKeBU6LiPOr1jcm71e9dtsEeI+k5yqmDQZ+XPG43v/udSStRzrC3JvUXQOwvqRBEbGyavFNgLFV2x4E3F5r3RGxXNJPgMMk3Uk6+Di2TigbA7+sMb1hm0q6Py8D8MGIaI9lu4h4qGpf2+9W/8/+R9JplYsC47rwmhrL6u+fyv/XGNLra3bF9kVqt3aLq96rnf3PDgOOIX1gkZcdXW/5gconWWu7k3TEc2CDZb5P6jp5S0SMAL5IetEVsYD0Zmw3oTvLSlqX1Jd7KvCmiBhFeoO3xxFdjTsizoiId5G+lm9B6hddTYHtdlVlnI+T2n50RIzKtxERsXWOb2FE/GtEjAU+DZxdY0TLItI3hnpt/Djwm4r1j4o0Auez3Yz/WFLXyXtym+6Sp9dqj8dJR56V214/IvZpsP6LgCmkrpf27olaHid1m9Wa3qhNt877P7wiuXem+n/26ap9GhoRv8vr7/Q1ReP3xD9IR+hbV6x/ZKQTwF2NFUmbAD8EPg9smF+/f6H7r99+ywm+hoh4ntRHepakAyWtJ2ltSR+U9O282Pqkr7DLJG0JdCU5XAkcKWl8HklyQjeXXYd08mkR8Go+qt6zYv5TwIaSRlZMqxu3pHdLeo+ktUlfiV8knaSt1tl2uy0iFpBOLJ4maYSktSRNlPRPOcaPShqfF3+W9OZdVbWOlcDVwIz8v5sEHF6xyPXAFpIOzf/XtfO+b1UwzKdIfeft1icloOckbUD6ZlPP3cBSSf8haaikQZLeJundDZ5zO6l761zSuYCX6yx3HjBV0h653cZJ2rKzNm2Cc4ATJW0NIGmkpI/m+0VfU1cCR0ialL8RdbRhRKwiJeTTJb0xr3ecpL0Kxlf9/2o/yb8or2sqqe+/5TjB1xERp5G+wp1EeiE8TvrE/1le5DjS0LGlpBffFV1Y/Q9JIw3+DPyRlIy6vGxELAWOJL05ns3xXFcx/wHSSclHJD0naWwncY/I054lfUVeDJxSHVBn222Cw0gfInPy+n8KbJTnvRu4S9KyvM2jovbY98+TvnYvJPXBXlAV/56k4YZP5mX+m/ShVcQM4KLcplNIw2mH8tr5hV/Ve2L+8NmP1E//aH7Oj0gnnOs9p/2k5ib5b73l7iadOD6ddLL1N7zW9dKoTXskIq4htd/lkpaQjoY/mGcXfU3dQGrHW0gnbG+pWuQ/8vTf523cTPrWVMR5wKT8//pZRMwBTiN9U38K2Ab4v4LrGlDah+2ZmVmL8RG8mVmLcoI3M2tRTvBrEHWh4JYGdhGrmyTdIWlCHpZXxjZmSLqk4LJ1i8eZlckJvsVImidpRS4S1X47s6vriYpCUOo/RctmKBXBmlIxbXCe1pYfb0C6bP0rpKGcF9RcWbHtVRbcar8d39X1REXxuK58yPZHkobndrihr2OxzvlCp9b0oYi4ua+DKMkzwFclXVXjIiIi4hnSSBJII2566h3VF/u0OjW4wI9UkuEl4AOS3hwRC+ssZ/2Aj+DXYJK2zN0Zz0h6sOrI+EJJ35A0jHQp+tiKo9ixkraXdGceerZA0pmS1snPlaTTJT2tVB74Pkk1xxnnMdPn5XU8kbfZqCztr0i1WD5RZ337SvpT3u7jkmZUzd9f0v057tu6MPa9IUk7SPpdXu+fJe1aMe82Sf+St3UOsGNux+c6i1nSEEmXSFqc1/0HSW+qE8M8SSdKmiPpWUkXSBpSMf9fJT2U/9/X5WGz7fNC0nRJfyMVyKvn8LwP91L1P8jbP07SvZKel3RF0e1bOZzg11A5cd9EKur0RtKY8LOVLgrqEBEvkMY0P1lxteOTwErg30iXd+9IKin7ufy0PUlXc25BGt89hTT+uZYLSVedbk4q+rUnqaJkPQH8J/AVpYtnqr1AGvM9ilQQ7bOSDsz7vAXpuoCjSZe//xL4efsHU3dJGkeqPPkNUjGs44CrJI1ZLfCIuaTicXfmdhzVWcykhDqSdJXnhvn5KxqE83FSga+JpPY/Kce4O/BN0v9iI9KY9MurnnsgqVbOJGpQugJ0V1LxtUtzzNWmkEo2bAq8nVSHqOj2rcmc4FvTz/LRXvvtdXW8SRfbzIuICyLi1Yj4E6nP+qNFNhARsyPi9/m580iFrtqvjHyFdHXnlqRrLebmqylXk49E9yFVs3whIp4mXaRzcCfbvo508dnrPggi4raIuC8iVkXEvaSE3h7Xx4BfRMRNEfEKqdTCUGCnBpv7Y1Vb1rp68hPALyPil3m7NwGz8r51qpOYXyEl9s0jYmVu99fVBqpwZkQ8nruq/otUVAxS4j8/Iv4YES+RCpzt2H7uIvtmRDwTEfU+QA4F7s0XCl0ObC3pnVXLnBERT+bt/5x0QVfR7VuTOcG3pgOr6oL8sMYyHQW32m+kN+Gbi2xA0haSrpe0UOnKwpPJxZoi4hZS7fCzgKclnStpRJ0Y2otgtcfwA9I3is6cRCobPKRyotJl8bdKWiTpedIRb3sRqbFUFLHKl8A/TiqrW892VW356zr78dGqttyZgleKdhLzj0lXMl8u6UlJ367zzaVddYG19m6Q6n1fRvpWVbnvlc+t5TDSkTsR8QTpStnq0UGNCux1tn1rMif4NVdXCm6VUrSMTopgNZKPkh/itW6hdpeRShhsHBEjSf3F7XE9yWuX7iNJpK6PJzrbXiceB35c1ZbDIuJbtUKvMa1uzBHxSkR8NSImkb5p7EftrpF21QW7nsz3q/d9GOmbQeW+172sXdJOwFtINWcWSlpI6s75ZxX7Vaci27cmc4Jfc3Wl4FYpRcuaUATrS6TywZXWB56JiBclbU+qk9PuSmBfpWJca5OqQL4E/K7g9uq5BPiQpL2UiocNURpaOr7Gsk8B46v6/evGLGk3SdsonXheQuqyqVWsq910pcJ0G5Dap73W0ExSIbJtlaqBngzclbvXijicdM5mEqnbZVtSga6hvFZ3ppGebt+6wQm+Nf1cq4/dvqZ6ga4U3CqraFnW7SJYEfF/pOqMlT4HfE3SUlJF0Csrln+Q1F/+PVKRrw+RhpTWq84I8OeqtvxujTgeJ/2q0Rd5rTDdv1P7/XULcD+wUNI/OouZ1GX2U1Jyn0vqFqmsW1/tMtKH5iO89kMd5GGz/0k6z7KAdBK24bmOdnkkzBTge5HKNbffHs2xdHoRV0+2b93nYmNmLULSPNIvgbXqNRDWRT6CNzNrUU7wZmYtyl00ZmYtykfwZmYtql8VGxs9enS0tbX1dRhmZgPG7Nmz/xERY2rN61cJvq2tjVmzZvV1GGZmA4akv9eb5y4aM7MW5QRvZtainODNzFpUv+qDr+WVV15h/vz5vPjii30dyhplyJAhjB8/nrXXblS40Mz6s36f4OfPn8/6669PW1sbqfiflS0iWLx4MfPnz2fTTTft63DMrJtK66KR9FZJ91Tclkg6uqvrefHFF9lwww2d3HuRJDbccEN/azIb4Eo7gs+V+7YFyKVOnwBeV9WwCCf33uc2Nxv4eusk6x7AwxFRd7ymmZk1V2/1wR9MqifeY20n/KIZq+kw71v7drrMoEGD2GabbToeH3zwwZxwwgnsuuuunHrqqUyePLlj3m233cYBBxywWt/1qaeeyvvf/36GDx/OnXfeyaGHHgrAY489xsiRIxk5ciSjR4/m5ptv5v777+cLX/gCTzzxBKtWreKwww7jpJNO8hG1mXVZ6Qk+/3LN/qQf2a01fxowDWDChAllh9MtQ4cO5Z577im8/Pve9z6uv/76mvO22WabjnUdccQR7LfffnzkIx8BYMWKFey///58//vfZ88992T58uV8+MMf5uyzz2b69Ok93Q2z1jZjZOfL9LUZz/fq5nqji+aDwB8j4qlaMyPi3IiYHBGTx4ypWU5hjXHZZZfx3ve+lz333BOA9dZbjzPPPJNvfavWT3uamTXWGwn+EJrUPdNXVqxYwbbbbttxu+KKKxouf/vtt6+2/MMPP1xoO/fffz/vete7Vps2ceJEli1bxpIlS7odv5mtmUrtosm/nP4B4NNlbqdszeyiMTPrLaUewUfECxGxYUT0bsfTADVp0iRmz5692rRHHnmE4cOHM2LEiD6KyswGKtei6Uc+/vGPc8cdd3Dzzek3k1esWMGRRx7J8ccf38eRmdlA1O9LFVQrMqyx2dr74NvtvffeHSc+99133456LTvuuCPTp0/v6INvd9JJJ3WMlGlk6NChXHvttXzhC19g+vTprFy5kkMPPZTPf/7zTd0fM1szDLgE3xdWrlxZc/ptt91Wc/rzz9fukVq2bNlqjy+88MLXLbPNNtvUXa+ZWVe4i8bMrEU5wZuZtSgneDOzFuUEb2bWopzgm+DKK6/kwx/+MNOmTeOuu+7q63DMzACPommKKVOmMGXKlL4Ow8xsNQMvwTe7YlyB6m6SOOaYYzjttNOAVP532bJlzJgxo2OZbbfdli233JLLL7+8Y9rLL7/M8ccfz/XXX48kJk2axFlnncX48eNft422tjbWX399Bg0aBMAuu+zCGWec8bqKkwDz5s1jq6224q1vfWvHtGOOOYbDDjuMtrY27rrrLvbaay8AFi5cyKBBg2gv5Hb33Xfz9NNPM336dObMmcOqVavYb7/9OOWUU1hnnXW60HBm1t8NvATfB9Zdd12uvvpqTjzxREaPHv26+XPnzmXlypXcfvvtvPDCCwwbNgyAL37xiyxdupQHH3yQQYMGccEFF3DQQQdx11131azvfuutt9Zcfy0TJ06sWx9n0KBBHfNmzJjB8OHDOe6444D0e6sHHXQQn/3sZ7n22mtZuXIl06ZN40tf+hKnnHJKoW2b2cDgPvgCBg8ezLRp0zj99NNrzp85cyaHHnooe+65J9deey0Ay5cv54ILLuD000/vOCqfOnUq6667LrfcckuvxV7tlltuYciQIUydOhVIHwann346559/PsuXL++zuMys+ZzgC5o+fTqXXnppzatUr7jiCg4++GAOOeQQZs5MlZEfeughJkyY8LoiYZMnT+b++++vuY3ddtuto8RwvQ+Tdg8//PBqJYlvv/32QvtRqyTxiBEjmDBhAg899FChdZjZwOAumoJGjBjBYYcdxhlnnMHQoUM7ps+aNYvRo0czYcIExo0bxyc/+UmeeeaZbm2jWV00ZmbgI/guOfrooznvvPN44YUXOqbNnDmTBx54gLa2NiZOnMiSJUu46qqrmDhxIo899hhLly5dbR2zZ89m66237u3QO9QqSbxkyRIee+wxNt988z6KyszK4ATfBRtssAFTpkzhvPPOA2DVqlVceeWV3HfffcybN4958+Zx7bXXMnPmTIYNG8bhhx/OMccc01Gs7OKLL2b58uXsvvvufbYPe+yxB8uXL+fiiy8GUiG1Y489liOOOIL11luvz+Iys+YbeF00vfyjtdWOPfZYzjzzTCD9NN+4ceMYO3Zsx/xddtmFOXPmsGDBAr75zW9y3HHHscUWW7DWWmux5ZZbcs0119QcQQOpD779hOzb3/72jiT86U9/mqOPPhqAjTfemJkzZ3b0wbf75Cc/yZFHHtlp/JK45ppr+NznPsfXv/51Vq1axT777MPJJ5/cneYws35MEdHXMXSYPHlyzJo1a7Vpc+fOZauttuqjiNZsbnsbUJp9jUwZSjhAlTQ7IibXmucuGjOzFuUEb2bWogZEgu9P3UhrCre52cBXaoKXNErSTyU9IGmupB27uo4hQ4awePFiJ5xeFBEsXryYIUOG9HUoZtYDZY+i+R/gVxHxEUnrAF0ehzd+/Hjmz5/PokWLmh+d1TVkyJCaRdHMbOAoLcFLGgnsAhwBEBEvAy93dT1rr702m266aXODMzNbA5TZRbMpsAi4QNKfJP1I0rDqhSRNkzRL0iwfpZuZNU+ZCX4wsB3w/Yh4J/ACcEL1QhFxbkRMjojJ7TXLzcys58pM8POB+RHR/ht2PyUlfDMz6wWlJfiIWAg8Lqn9Z4f2AOaUtT0zM1td2aNovgBcmkfQPAJMLXl7ZmaWlZrgI+IeoGaNBDMzK9eAuJLVzMy6zgnezKxFOcGbmbUoJ3gzsxblBG9m1qKc4M3MWpQTvJlZi+pSgpe0lqQRZQVjZmbN02mCl3SZpBG5EuRfgDmS/r380MzMrCeKHMFPioglwIHADaQywIeWGZSZmfVckQS/tqS1SQn+uoh4BfDv55mZ9XNFEvwPgHnAMOC3kjYBlpQZlJmZ9VynxcYi4gzgjIpJf5e0W3khmZlZMxSqJilpX2BrYEjF5K+VEpGZmTVFkVE05wAfI9V2F/BRYJOS4zIzsx4q0ge/U0QcBjwbEV8FdgS2KDcsMzPrqSIJfkX+u1zSWOAVYKPyQjIzs2Yo0gd/vaRRwCnAH0lDJH9UZlBmZtZzRRL8tyPiJeAqSdeTTrS+WG5YZmbWU0W6aO5svxMRL0XE85XTzMysf6p7BC/pzcA4YKikd5JG0ACMANbrhdjMzKwHGnXR7AUcAYwHvlMxfSnwxSIrlzQvL78SeDUiJncrSjMz67K6CT4iLgIukvThiLiqB9vYLSL+0YPnm5lZNxQpVXBVrStZI8JXspqZ9WNlX8kawI2SZkuaVmf90yTNkjRr0aJFBVdrZmadKftK1p0jYjvgg8B0SbtULxAR50bE5IiYPGbMmMKBm5lZY6VeyRoRT+S/TwPXANt3J0gzM+u6Igm++krWecDMzp4kaZik9dvvA3uSfvLPzMx6QZGTrF/PdzuuZM0XO3XmTcA1ktq3c1lE/KrbkZqZWZc0utDpoAbziIirG604Ih4B3tGD2MzMrAcaHcF/KP99I7ATcEt+vBvwO6Bhgjczs77V6EKnqQCSbgQmRcSC/Hgj4MJeic7MzLqtyEnWjduTe/YUMKGkeMzMrEmKlAv+X0m/5rWRMx8Dbi4vJDMza4Yio2g+n0+4vi9POjcirik3LDMz66kiR/DtI2Z8UtXMbABpNEzyjojYWdJSUk2ZjllARMSI0qMzM7NuazSKZuf8d/3eC8fMzJql0RH8Bo2eGBHPND8cMzNrlkZ98LNJXTMiDYt8Nt8fBTwGbFp2cGZm1n11x8FHxKYRsRlpSOSHImJ0RGwI7Afc2FsBmplZ9xS50GmHiPhl+4OIuIFUusDMzPqxIsMkn5R0EnBJfvxx4MnyQjIzs2YocgR/CDCG9IMd15CKjx1SZlBmZtZzRa5kfQY4qhdiMTOzJuo0wUvaAjgOaKtcPiJ2Ly8sMzPrqSJ98D8BzgF+BKwsNxwzM2uWIgn+1Yj4fumRmJlZUxU5yfpzSZ+TtJGkDdpvpUdmZmY9UuQI/vD8998rpgWwWfPDMTOzZikyiqZHJQkkDQJmAU9ExH49WZeZmRVXqB68pLcBk4Ah7dMi4uKC2zgKmAu4vLCZWS/qtA9e0leA7+XbbsC3gf2LrFzSeGBf0ggcMzPrRUVOsn4E2ANYGBFTgXcAIwuu/7vA8cCqegtImiZplqRZixYtKrhaMzPrTJEEvyIiVgGvShoBPA1s3NmTJO0HPB0RsxstFxHnRsTkiJg8ZsyYQkGbmVnnivTBz5I0CvghqUb8MuDOAs97L7C/pH1IffcjJF0SEZ/obrBmZlZckVE0n8t3z5H0K2BERNxb4HknAicCSNoVOM7J3cys99TtopG0l6SPVE6LiHnAFpI+UHZgZmbWM4364L8M/KbG9NuAr3VlIxFxm8fAm5n1rkYJft2IeN2wloj4BzCsvJDMzKwZGiX4EZJe10cvaW1gaHkhmZlZMzRK8FcDP5TUcbQuaTipdPDVZQdmZmY90yjBnwQ8Bfxd0mxJs4FHgUV5npmZ9WN1h0lGxKvACZK+CmyeJz8UESt6JTIzM+uRIuPgVwD39UIsZmbWREVKFZiZ2QDkBG9m1qKKlAuWpE9I+nJ+PEHS9uWHZmZmPVHkCP5sYEfgkPx4KXBWaRGZmVlTFKkm+Z6I2E7SnwAi4llJ65Qcl5mZ9VCRI/hX8u+qBoCkMTT4AQ8zM+sfiiT4M4BrgDdK+i/gDuDkUqMyM7MeKzIO/tJ8FesegIADI2Ju6ZGZmVmP1E3wkjaoePg0MLNyXkQ8U2ZgZmbWM42O4GeT+t0FTACezfdHAY8Bm5YdnJmZdV/dPviI2DQiNgNuBj4UEaMjYkNgP+DG3grQzMy6p8hJ1h0i4pftDyLiBmCn8kIyM7NmKDIO/klJJwGX5McfB54sLyQzM2uGIkfwhwBjSEMlr873D2n4DDMz63NFhkk+AxzVC7GYmVkTlVZNUtIQSXdL+rOk+/MPh5iZWS8p0gffXS8Bu0fEsvxD3XdIuiEifl/iNs3MLCstwUdEAMvyw7XzLcranpmZra7TBC9pPPA9YGdSgr4dOCoi5hd47iDSBVObA2dFxF01lpkGTAOYMGFCl4IvZMbI5q+z2WY839cRmFkLKtIHfwFwHbARMBb4eZ7WqYhYGRHbAuOB7SW9rcYy50bE5IiYPGbMmMKBm5lZY0US/JiIuCAiXs23C0lDJQuLiOeAW4G9ux6imZl1R5EEvzj/ZN+gfPsEsLizJ0kaI2lUvj8U+ADwQI+iNTOzwook+E8CU4CFwALgI8DUAs/bCLhV0r3AH4CbIuL67gZqZmZd0/Akaz5JenJE7N/VFUfEvcA7uxuYmZn1TMMj+IhYCWzi32A1Mxt4ioyDfwT4P0nXAS+0T4yI75QWlZmZ9ViRBP9wvq0FrF9uOGZm1ixFio19FUDSehGxvPyQzMysGTodRSNpR0lzyEMcJb1D0tmlR2ZmZj1SZJjkd4G9yGPfI+LPwC4lxmRmZk1QqFxwRDxeNWllCbGYmVkTFTnJ+riknYDIZX+PAuaWG5aZmfVUkSP4zwDTgXHAE8C2+bGZmfVjRUbR/IP0Q9tmZjaAFKkHvynwBaCtcvnulC8wM7PeU6QP/mfAeaQ68KtKjcbMzJqmSIJ/MSLOKD0SMzNrqiIJ/n8kfQW4kfRD2gBExB9Li8rMzHqsSILfBjgU2J3XumgiPzYzs36qSIL/KLBZRLxcdjBmZtY8RcbB/wUYVXIcZmbWZEWO4EcBD0j6A6v3wXuYpJlZP1YkwX+l9CjMzKzpilzJ+pveCMTMzJqrZh+8pPUq7i+VtCTfXpS0UtKSzlYsaWNJt0qaI+l+SUc1M3AzM2us3hH8EZI2iIhvRETHz/RJEnAAsEOBdb8KHBsRf5S0PjBb0k0RMafnYZuZWWdqHsFHxNnAo5IOrZoeEfEz0g+ANBQRC9ovhoqIpaQSw+N6HLGZmRVStw8+Ii4FkHRQxeS1gMnAi13ZiKQ24J3AXV0P0czMuqPIKJoPVdx/FZhH6qYpRNJw4Crg6Ih4Xd+9pGnANIAJEyYUXa31hRkj+zqCYmY839cRmPULRUbRTO3uyvMvQF0FXBoRV9dZ/7nAuQCTJ0+O7m7LzMxWVzfBS/pyg+dFRHy90YrzCdnzgLkR8Z1uxmdmZt3UqFTBCzVuAJ8C/qPAut9LLlIm6Z5826cnwZqZWXGNTrKe1n4/D3M8CpgKXA6cVu95Fc+/A1ATYjQzs25o2AcvaQPgGNJvsl4EbBcRz/ZGYGZm1jON+uBPAQ4inQDdJiKW9VpUZmbWY4364I8FxgInAU9WlCtYWqRUgZmZ9a1GffBFasWbmVk/5SRuZtainODNzFqUE7yZWYtygjcza1FO8GZmLcoJ3sysRTnBm5m1KCd4M7MW5QRvZtainODNzFqUE7yZWYtygjcza1FO8GZmLcoJ3sysRTnBm5m1KCd4M7MW5QRvZtaiSkvwks6X9LSkv5S1DTMzq6/MI/gLgb1LXL+ZmTVQWoKPiN8Cz5S1fjMza6zuj273FknTgGkAEyZM6ONorJG2Fy/r6xAKmdfXARTUdsIv+jqEQuZ9a9++DsG6qc9PskbEuRExOSImjxkzpq/DMTNrGX2e4M3MrBxO8GZmLarMYZIzgTuBt0qaL+lTZW3LzMxer7STrBFxSFnrNjOzzrmLxsysRTnBm5m1KCd4M7MW5QRvZtainODNzFqUE7yZWYtygjcza1FO8GZmLcoJ3sysRTnBm5m1KCd4M7MW5QRvZtainODNzFqUE7yZWYtygjcza1FO8GZmLcoJ3sysRTnBm5m1KCd4M7MW5QRvZtaiSk3wkvaW9KCkhySdUOa2zMxsdaUleEmDgLOADwKTgEMkTSpre2Zmtroyj+C3Bx6KiEci4mXgcuCAErdnZmYVykzw44DHKx7Pz9PMzKwXDO7rACRNA6blh8skPdiX8RQwGvhHU9f4VTV1dQNM09tT/93MtQ04bs/mam57lvNe36TejDIT/BPAxhWPx+dpq4mIc4FzS4yjqSTNiojJfR1Hq3B7Npfbs7kGenuW2UXzB+AtkjaVtA5wMHBdidszM7MKpR3BR8Srkj4P/BoYBJwfEfeXtT0zM1tdqX3wEfFL4JdlbqMPDJjupAHC7dlcbs/mGtDtqYjo6xjMzKwELlVgZtainOABSRtLulXSHEn3SzoqT99A0k2S/pb/viFPl6QzcgmGeyVtV7GuCZJulDQ3r6+tj3arT3SjLbeUdKeklyQdV7WuNb7URTPbM88fJOlPkq7v7X3pD5r8+vy3vI6/SJopaUhf7FMjTvDJq8CxETEJ2AGYnssqnAD8b0S8Bfjf/BhS+YW35Ns04PsV67oYOCUitiJdzft07+xCv9HVtnwGOBI4tXIlLnXRoSntWeEoYG65IfdrzXp9jsvTJ0fE20gDSQ7unV0ozgkeiIgFEfHHfH8p6Q0wjlRa4aK82EXAgfn+AcDFkfweGCVpo/xCGRwRN+V1LYuI5b24K32uq20ZEU9HxB+AV6pW5VIXNLU9kTQe2Bf4UfmR90/NbE/SIJWhkgYD6wFPlht91znBV8ldKu8E7gLeFBEL8qyFwJvy/XplGLYAnpN0df4afEo+El0jFWzLelzqokoP2xPgu8DxwKoy4htoetKeEfEE6aj+MWAB8HxE3FhetN3jBF9B0nDgKuDoiFhSOS/ScKPOhhwNBt4HHAe8G9gMOKL5kfZ/TWhLq9DT9pS0H/B0RMwuL8qBownt+QbSUf+mwFhgmKRPlBRutznBZ5LWJv3DL42Iq/PkpyRtlOdvxGv96fXKMMwH7sndCq8CPwO2Yw3Txbasp1CpizVBk9rzvcD+kuaRurt2l3RJSSH3a01qz/cDj0bEooh4Bbga2KmsmLvLCZ40KgY4D5gbEd+pmHUdcHi+fzhwbcX0w/Jomh1IX88WkMozjJI0Ji+3OzCn9B3oR7rRlvW41AXNa8+IODEixkdEG6ktb4mIfnfEWbYmvj4fA3aQtF5e5x70x5PXEbHG34CdSV/J7gXuybd9gA1JZ9T/BtwMbJCXF2mEx8PAfaQz6e3r+kBez33AhcA6fb1//bwt30z65rMEeC7fH5Hn7QP8Nbfzl/p63wZ6e1asc1fg+r7et4HensBXgQeAvwA/Btbt6/2rvvlKVjOzFuUuGjOzFuUEb2bWopzgzcxalBO8mVmLcoI3M2tRTvBmgKQDJYWkLfs6FrNmcYI3Sw4B7sh/zVqCE7yt8XJdkp2BT5FLvkraVdJtkn4q6QFJl+YrFpG0Ry4md5+k8yWt24fhm9XlBG+Wikb9KiL+CiyW9K48/Z3A0aR69JsB780/6nAh8LGI2IZUYO6zvR6xWQFO8GapW+byfP9yXuumuTsi5kfEKtIl7W3AW0lFpv6al7kI2KX3QjUrbnBfB2DWlyRtQCoKt42kIP0yTwC/AF6qWHQlfr/YAOMjeFvTfQT4cURsEhFtEbEx8Ciprn8tDwJtkjbPjw8FftMLcZp1mRO8rekOAa6pmnYVdUbTRMSLwFTgJ5LuI/060jmlRmjWTa4maWbWonwEb2bWopzgzcxalBO8mVmLcoI3M2tRTvBmZi3KCd7MrEU5wZuZtSgneDOzFvX/AVnN4ZvFKqC4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plota o Gráfico de Candidatas Eleitas e Não Eleitas por ano\n",
    "presidenta_estado.plot.bar(stacked=True, rot=0)\n",
    "plt.suptitle(\"Candidatas a Presidenta e Vice-Presidenta\")\n",
    "plt.title(\"Eleitas e Não Eleitas por Ano\")\n",
    "plt.xlabel('Ano');\n",
    "plt.ylabel('Número de Candidatas');\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Para o início das Análises e cruzamento com os dados de Feminicídio, foi criado esse novo dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Criação de um novo dataframe filtrando apenas os dados das Mulheres\n",
    "feminino = df[df['DS_GENERO'] == 'FEMININO']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ANO_ELEICAO', 'CD_TIPO_ELEICAO', 'NM_TIPO_ELEICAO', 'SG_UF', 'NM_UE',\n",
       "       'DS_CARGO', 'DS_DETALHE_SITUACAO_CAND', 'SG_PARTIDO', 'DS_GENERO',\n",
       "       'DS_GRAU_INSTRUCAO', 'DS_SIT_TOT_TURNO'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Confere as colunas contidas no dataframe \n",
    "feminino.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>ANO_ELEICAO</th>\n",
       "      <th>2004</th>\n",
       "      <th>2006</th>\n",
       "      <th>2008</th>\n",
       "      <th>2010</th>\n",
       "      <th>2012</th>\n",
       "      <th>2014</th>\n",
       "      <th>2016</th>\n",
       "      <th>2018</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SG_UF</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AC</th>\n",
       "      <td>21</td>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AL</th>\n",
       "      <td>125</td>\n",
       "      <td>3</td>\n",
       "      <td>149</td>\n",
       "      <td>4</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>37</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AM</th>\n",
       "      <td>58</td>\n",
       "      <td>4</td>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AP</th>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA</th>\n",
       "      <td>421</td>\n",
       "      <td>11</td>\n",
       "      <td>429</td>\n",
       "      <td>13</td>\n",
       "      <td>137</td>\n",
       "      <td>1</td>\n",
       "      <td>115</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BR</th>\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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CE</th>\n",
       "      <td>234</td>\n",
       "      <td>3</td>\n",
       "      <td>260</td>\n",
       "      <td>7</td>\n",
       "      <td>77</td>\n",
       "      <td>1</td>\n",
       "      <td>71</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DF</th>\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>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ES</th>\n",
       "      <td>44</td>\n",
       "      <td>6</td>\n",
       "      <td>58</td>\n",
       "      <td>5</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GO</th>\n",
       "      <td>255</td>\n",
       "      <td>7</td>\n",
       "      <td>224</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>66</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MA</th>\n",
       "      <td>275</td>\n",
       "      <td>7</td>\n",
       "      <td>281</td>\n",
       "      <td>9</td>\n",
       "      <td>89</td>\n",
       "      <td>0</td>\n",
       "      <td>88</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MG</th>\n",
       "      <td>663</td>\n",
       "      <td>9</td>\n",
       "      <td>675</td>\n",
       "      <td>5</td>\n",
       "      <td>152</td>\n",
       "      <td>0</td>\n",
       "      <td>153</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MS</th>\n",
       "      <td>89</td>\n",
       "      <td>1</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "      <td>21</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MT</th>\n",
       "      <td>137</td>\n",
       "      <td>2</td>\n",
       "      <td>136</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PA</th>\n",
       "      <td>153</td>\n",
       "      <td>7</td>\n",
       "      <td>141</td>\n",
       "      <td>7</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PB</th>\n",
       "      <td>614</td>\n",
       "      <td>8</td>\n",
       "      <td>604</td>\n",
       "      <td>12</td>\n",
       "      <td>178</td>\n",
       "      <td>2</td>\n",
       "      <td>82</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PE</th>\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>64</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PI</th>\n",
       "      <td>237</td>\n",
       "      <td>3</td>\n",
       "      <td>261</td>\n",
       "      <td>8</td>\n",
       "      <td>70</td>\n",
       "      <td>2</td>\n",
       "      <td>67</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PR</th>\n",
       "      <td>336</td>\n",
       "      <td>3</td>\n",
       "      <td>364</td>\n",
       "      <td>7</td>\n",
       "      <td>89</td>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RJ</th>\n",
       "      <td>61</td>\n",
       "      <td>15</td>\n",
       "      <td>77</td>\n",
       "      <td>13</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RN</th>\n",
       "      <td>240</td>\n",
       "      <td>7</td>\n",
       "      <td>257</td>\n",
       "      <td>5</td>\n",
       "      <td>81</td>\n",
       "      <td>1</td>\n",
       "      <td>100</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RO</th>\n",
       "      <td>46</td>\n",
       "      <td>2</td>\n",
       "      <td>40</td>\n",
       "      <td>4</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RR</th>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RS</th>\n",
       "      <td>451</td>\n",
       "      <td>8</td>\n",
       "      <td>475</td>\n",
       "      <td>11</td>\n",
       "      <td>83</td>\n",
       "      <td>0</td>\n",
       "      <td>78</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SC</th>\n",
       "      <td>249</td>\n",
       "      <td>3</td>\n",
       "      <td>237</td>\n",
       "      <td>4</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SE</th>\n",
       "      <td>97</td>\n",
       "      <td>6</td>\n",
       "      <td>96</td>\n",
       "      <td>5</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>33</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SP</th>\n",
       "      <td>511</td>\n",
       "      <td>13</td>\n",
       "      <td>536</td>\n",
       "      <td>15</td>\n",
       "      <td>187</td>\n",
       "      <td>0</td>\n",
       "      <td>166</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TO</th>\n",
       "      <td>188</td>\n",
       "      <td>4</td>\n",
       "      <td>159</td>\n",
       "      <td>5</td>\n",
       "      <td>53</td>\n",
       "      <td>2</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "ANO_ELEICAO  2004  2006  2008  2010  2012  2014  2016  2018\n",
       "SG_UF                                                      \n",
       "AC             21     6    23     5     3     2     6     2\n",
       "AL            125     3   149     4    40     1    37     2\n",
       "AM             58     4    50     4    14     0    11     2\n",
       "AP             19     6    23     8    10     0     7     1\n",
       "BA            421    11   429    13   137     1   115     2\n",
       "BR              0     0     0     1     0     1     0     0\n",
       "CE            234     3   260     7    77     1    71     1\n",
       "DF              0     0     0     0     0     0     0     3\n",
       "ES             44     6    58     5    19     1    12     3\n",
       "GO            255     7   224     5    50     0    66     0\n",
       "MA            275     7   281     9    89     0    88     2\n",
       "MG            663     9   675     5   152     0   153     1\n",
       "MS             89     1    80     0    28     2    21     2\n",
       "MT            137     2   136     0    44     0    42     0\n",
       "PA            153     7   141     7    56     0    44     0\n",
       "PB            614     8   604    12   178     2    82     4\n",
       "PE              0     0     0     0     0     1    64     2\n",
       "PI            237     3   261     8    70     2    67     3\n",
       "PR            336     3   364     7    89     1    85     0\n",
       "RJ             61    15    77    13    21     0    20     1\n",
       "RN            240     7   257     5    81     1   100     3\n",
       "RO             46     2    40     4    13     0    17     1\n",
       "RR             15     5    12     4     6     1     8     1\n",
       "RS            451     8   475    11    83     0    78     3\n",
       "SC            249     3   237     4    46     0    46     3\n",
       "SE             97     6    96     5    28     1    33     2\n",
       "SP            511    13   536    15   187     0   166     2\n",
       "TO            188     4   159     5    53     2    50     0"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cruzamento dos dados das Eleitas, por Ano e por Estado.\n",
    "# Para ter uma noção geral do números de mulheres Eleitas ao longo dos anos.\n",
    "\n",
    "candidata_eleitas = pd.DataFrame(feminino.query('DS_SIT_TOT_TURNO == \"ELEITO\"'))\n",
    "candidata_eleitas = pd.crosstab(candidata_eleitas['ANO_ELEICAO'],candidata_eleitas['SG_UF']).T\n",
    "candidata_eleitas.head(28)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['PSDB', 'PMDB', 'PDT', 'PC do B', 'PT', 'PPS', 'PMN', 'PFL', 'PSB',\n",
       "       'PL', 'PV', 'PSDC', 'PTB', 'PP', 'PSL', 'PRTB', 'PT do B', 'PRP',\n",
       "       'PTN', 'PRONA', 'PTC', 'PAN', 'PHS', 'PSC', 'PSTU', 'PCO', 'PCB',\n",
       "       'PSOL', 'PRB', 'PR', 'DEM', 'PSD', 'PPL', 'SD', 'PEN', 'PROS',\n",
       "       'PMB', 'REDE', 'PATRI', 'NOVO', 'DC', 'MDB', 'AVANTE', 'PODE',\n",
       "       'SOLIDARIEDADE', 'PATRIOTA', 'REPUBLICANOS', 'CIDADANIA', 'UP'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verifica os Partidos das Candidatas\n",
    "feminino['SG_PARTIDO'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### De acordo com o congresso em foco, segue a distribuição dos partidos conforme a orientação ideológica, sendo as variáveis:\n",
    "direita (extrema direita, direita, centro-direita) e esquerda (extrema esquerda, esquerda, centro-esquerda).\n",
    "\n",
    "https://congressoemfoco.uol.com.br/legislativo/direita-cresce-e-engole-o-centro-no-congresso-mais-fragmentado-da-historia/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cria as variáveis com a lista de partidos.\n",
    "\n",
    "centro = ['AVANTE', 'MDB', 'PMDB', 'PHS', 'PROS', 'PSDB', 'SOLIDARIEDADE', 'PMB']\n",
    "direita = ['REPUBLICANOS', 'PEN', 'PAN', 'PHS', 'PFL', 'PL', 'PSDC', 'PRONA', 'DC', 'DEM', 'NOVO', 'PATRIOTA', 'PATRI', 'PODE', 'PODEMOS', 'PP', 'PR', 'PRB', 'PRP', 'PRTB', 'PSC', 'PSD', 'PSL', 'PTB', 'PTC', 'PTN']\n",
    "esquerda = ['PC do B', 'PSTU', 'PSB', 'PDT', 'PSOL', 'PMN', 'PT', 'PPL', 'PV', 'PPS', 'REDE', 'PT do B', 'PCO', 'PCB', 'SD', 'CIDADANIA', 'UP']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cria um dicionário\n",
    "def define_orientacao(x):\n",
    "    if x in direita:\n",
    "        return 'DIREITA'\n",
    "    elif x in centro:\n",
    "        return 'CENTRO'\n",
    "    else:\n",
    "        return 'ESQUERDA'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "# Faz uma varredura e cria uma nova coluna setando a orientação ideológica da candidata\n",
    "feminino['ORIENTACAO'] = feminino.SG_PARTIDO.map(define_orientacao) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cria um dataset com as informações da orientação das candidatas, por Estado e por ano\n",
    "orientacao_eleitas_ano = pd.DataFrame(feminino.query('DS_SIT_TOT_TURNO == \"ELEITO\"'))\n",
    "fem_group = pd.crosstab(index=[orientacao_eleitas_ano['SG_UF'],orientacao_eleitas_ano['ANO_ELEICAO']], columns=orientacao_eleitas_ano['ORIENTACAO'], margins=True)\n",
    "fem_group.to_csv('orientacao.csv') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "SG_UF=AC<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "AC",
         "line": {
          "color": "#636efa",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-bar-right-open"
         },
         "mode": "lines+markers",
         "name": "AC",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          15,
          13,
          19,
          16,
          20
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=AL<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "AL",
         "line": {
          "color": "#EF553B",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 152
         },
         "mode": "lines+markers",
         "name": "AL",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          106,
          83,
          137,
          133,
          125
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=AM<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "AM",
         "line": {
          "color": "#00cc96",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "52"
         },
         "mode": "lines+markers",
         "name": "AM",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          13,
          13,
          16,
          17,
          20
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=AP<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "AP",
         "line": {
          "color": "#ab63fa",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-bar-left-open"
         },
         "mode": "lines+markers",
         "name": "AP",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          53,
          63,
          65,
          118,
          80
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=BA<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "BA",
         "line": {
          "color": "#FFA15A",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 151
         },
         "mode": "lines+markers",
         "name": "BA",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          243,
          315,
          438,
          437,
          385
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=CE<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "CE",
         "line": {
          "color": "#19d3f3",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "51"
         },
         "mode": "lines+markers",
         "name": "CE",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          134,
          117,
          173,
          219,
          285
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=DF<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "DF",
         "line": {
          "color": "#FF6692",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-bar-down-open"
         },
         "mode": "lines+markers",
         "name": "DF",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          49,
          64,
          66,
          77,
          60
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=ES<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "ES",
         "line": {
          "color": "#B6E880",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 150
         },
         "mode": "lines+markers",
         "name": "ES",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          183,
          190,
          174,
          163,
          140
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=GO<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "GO",
         "line": {
          "color": "#FF97FF",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "50"
         },
         "mode": "lines+markers",
         "name": "GO",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          143,
          160,
          182,
          247,
          290
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=MA<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "MA",
         "line": {
          "color": "#FECB52",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-bar-up-open"
         },
         "mode": "lines+markers",
         "name": "MA",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          67,
          81,
          117,
          114,
          152
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=MG<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "MG",
         "line": {
          "color": "#636efa",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 149
         },
         "mode": "lines+markers",
         "name": "MG",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          70,
          86,
          80,
          100,
          111
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=MS<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "MS",
         "line": {
          "color": "#EF553B",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "49"
         },
         "mode": "lines+markers",
         "name": "MS",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          55,
          60,
          76,
          77,
          85
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=MT<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "MT",
         "line": {
          "color": "#00cc96",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-right-open"
         },
         "mode": "lines+markers",
         "name": "MT",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          392,
          377,
          409,
          460,
          403
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=PA<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "PA",
         "line": {
          "color": "#ab63fa",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 148
         },
         "mode": "lines+markers",
         "name": "PA",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          140,
          169,
          231,
          232,
          249
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=PB<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "PB",
         "line": {
          "color": "#FFA15A",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "48"
         },
         "mode": "lines+markers",
         "name": "PB",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          62,
          87,
          119,
          137,
          117
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=PE<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "PE",
         "line": {
          "color": "#19d3f3",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-left-open"
         },
         "mode": "lines+markers",
         "name": "PE",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          249,
          306,
          338,
          321,
          284
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=PI<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "PI",
         "line": {
          "color": "#FF6692",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 147
         },
         "mode": "lines+markers",
         "name": "PI",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          310,
          298,
          247,
          216,
          239
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=PR<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "PR",
         "line": {
          "color": "#B6E880",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "47"
         },
         "mode": "lines+markers",
         "name": "PR",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          32,
          38,
          40,
          46,
          63
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=RJ<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "RJ",
         "line": {
          "color": "#FF97FF",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-down-open"
         },
         "mode": "lines+markers",
         "name": "RJ",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          504,
          373,
          339,
          365,
          464
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=RN<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "RN",
         "line": {
          "color": "#FECB52",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 146
         },
         "mode": "lines+markers",
         "name": "RN",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          42,
          59,
          71,
          64,
          102
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=RS<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "RS",
         "line": {
          "color": "#636efa",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "46"
         },
         "mode": "lines+markers",
         "name": "RS",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          162,
          219,
          227,
          247,
          250
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=RO<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "RO",
         "line": {
          "color": "#EF553B",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-up-open"
         },
         "mode": "lines+markers",
         "name": "RO",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          51,
          39,
          37,
          51,
          56
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=RR<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "RR",
         "line": {
          "color": "#00cc96",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 145
         },
         "mode": "lines+markers",
         "name": "RR",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          13,
          15,
          11,
          17,
          24
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=SC<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "SC",
         "line": {
          "color": "#ab63fa",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "45"
         },
         "mode": "lines+markers",
         "name": "SC",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          92,
          86,
          110,
          104,
          111
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=SP<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "SP",
         "line": {
          "color": "#FFA15A",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "line-nw-open"
         },
         "mode": "lines+markers",
         "name": "SP",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          788,
          667,
          678,
          640,
          612
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=SE<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "SE",
         "line": {
          "color": "#19d3f3",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 144
         },
         "mode": "lines+markers",
         "name": "SE",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          40,
          30,
          43,
          62,
          74
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=TO<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "TO",
         "line": {
          "color": "#FF6692",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "44"
         },
         "mode": "lines+markers",
         "name": "TO",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          22,
          21,
          34,
          49,
          35
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "height": 500,
        "legend": {
         "title": {
          "text": "SG_UF"
         },
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Número de feminicídio nos anos de 2006 a 2014"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "rangeslider": {
          "visible": true
         },
         "title": {
          "text": "ANO"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "FEMINICIDIO"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"3c378ae8-323c-4bdd-a922-fc19658e3271\" class=\"plotly-graph-div\" style=\"height:500px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"3c378ae8-323c-4bdd-a922-fc19658e3271\")) {                    Plotly.newPlot(                        \"3c378ae8-323c-4bdd-a922-fc19658e3271\",                        [{\"hovertemplate\": \"SG_UF=AC<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"AC\", \"line\": {\"color\": \"#636efa\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-bar-right-open\"}, \"mode\": \"lines+markers\", \"name\": \"AC\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [15, 13, 19, 16, 20], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=AL<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"AL\", \"line\": {\"color\": \"#EF553B\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 152}, \"mode\": \"lines+markers\", \"name\": \"AL\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [106, 83, 137, 133, 125], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=AM<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"AM\", \"line\": {\"color\": \"#00cc96\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"52\"}, \"mode\": \"lines+markers\", \"name\": \"AM\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [13, 13, 16, 17, 20], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=AP<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"AP\", \"line\": {\"color\": \"#ab63fa\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-bar-left-open\"}, \"mode\": \"lines+markers\", \"name\": \"AP\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [53, 63, 65, 118, 80], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=BA<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"BA\", \"line\": {\"color\": \"#FFA15A\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 151}, \"mode\": \"lines+markers\", \"name\": \"BA\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [243, 315, 438, 437, 385], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=CE<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"CE\", \"line\": {\"color\": \"#19d3f3\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"51\"}, \"mode\": \"lines+markers\", \"name\": \"CE\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [134, 117, 173, 219, 285], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=DF<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"DF\", \"line\": {\"color\": \"#FF6692\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-bar-down-open\"}, \"mode\": \"lines+markers\", \"name\": \"DF\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [49, 64, 66, 77, 60], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=ES<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"ES\", \"line\": {\"color\": \"#B6E880\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 150}, \"mode\": \"lines+markers\", \"name\": \"ES\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [183, 190, 174, 163, 140], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=GO<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"GO\", \"line\": {\"color\": \"#FF97FF\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"50\"}, \"mode\": \"lines+markers\", \"name\": \"GO\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [143, 160, 182, 247, 290], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=MA<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"MA\", \"line\": {\"color\": \"#FECB52\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-bar-up-open\"}, \"mode\": \"lines+markers\", \"name\": \"MA\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [67, 81, 117, 114, 152], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=MG<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"MG\", \"line\": {\"color\": \"#636efa\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 149}, \"mode\": \"lines+markers\", \"name\": \"MG\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [70, 86, 80, 100, 111], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=MS<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"MS\", \"line\": {\"color\": \"#EF553B\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"49\"}, \"mode\": \"lines+markers\", \"name\": \"MS\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [55, 60, 76, 77, 85], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=MT<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"MT\", \"line\": {\"color\": \"#00cc96\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-right-open\"}, \"mode\": \"lines+markers\", \"name\": \"MT\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [392, 377, 409, 460, 403], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=PA<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"PA\", \"line\": {\"color\": \"#ab63fa\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 148}, \"mode\": \"lines+markers\", \"name\": \"PA\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [140, 169, 231, 232, 249], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=PB<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"PB\", \"line\": {\"color\": \"#FFA15A\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"48\"}, \"mode\": \"lines+markers\", \"name\": \"PB\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [62, 87, 119, 137, 117], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=PE<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"PE\", \"line\": {\"color\": \"#19d3f3\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-left-open\"}, \"mode\": \"lines+markers\", \"name\": \"PE\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [249, 306, 338, 321, 284], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=PI<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"PI\", \"line\": {\"color\": \"#FF6692\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 147}, \"mode\": \"lines+markers\", \"name\": \"PI\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [310, 298, 247, 216, 239], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=PR<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"PR\", \"line\": {\"color\": \"#B6E880\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"47\"}, \"mode\": \"lines+markers\", \"name\": \"PR\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [32, 38, 40, 46, 63], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=RJ<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"RJ\", \"line\": {\"color\": \"#FF97FF\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-down-open\"}, \"mode\": \"lines+markers\", \"name\": \"RJ\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [504, 373, 339, 365, 464], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=RN<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"RN\", \"line\": {\"color\": \"#FECB52\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 146}, \"mode\": \"lines+markers\", \"name\": \"RN\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [42, 59, 71, 64, 102], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=RS<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"RS\", \"line\": {\"color\": \"#636efa\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"46\"}, \"mode\": \"lines+markers\", \"name\": \"RS\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [162, 219, 227, 247, 250], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=RO<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"RO\", \"line\": {\"color\": \"#EF553B\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-up-open\"}, \"mode\": \"lines+markers\", \"name\": \"RO\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [51, 39, 37, 51, 56], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=RR<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"RR\", \"line\": {\"color\": \"#00cc96\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 145}, \"mode\": \"lines+markers\", \"name\": \"RR\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [13, 15, 11, 17, 24], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=SC<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"SC\", \"line\": {\"color\": \"#ab63fa\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"45\"}, \"mode\": \"lines+markers\", \"name\": \"SC\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [92, 86, 110, 104, 111], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=SP<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"SP\", \"line\": {\"color\": \"#FFA15A\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"line-nw-open\"}, \"mode\": \"lines+markers\", \"name\": \"SP\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [788, 667, 678, 640, 612], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=SE<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"SE\", \"line\": {\"color\": \"#19d3f3\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 144}, \"mode\": \"lines+markers\", \"name\": \"SE\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [40, 30, 43, 62, 74], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=TO<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"TO\", \"line\": {\"color\": \"#FF6692\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"44\"}, \"mode\": \"lines+markers\", \"name\": \"TO\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [22, 21, 34, 49, 35], \"yaxis\": \"y\"}],                        {\"height\": 500, \"legend\": {\"title\": {\"text\": \"SG_UF\"}, \"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"N\\u00famero de feminic\\u00eddio nos anos de 2006 a 2014\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"rangeslider\": {\"visible\": true}, \"title\": {\"text\": \"ANO\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"FEMINICIDIO\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('3c378ae8-323c-4bdd-a922-fc19658e3271');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Cria um filtro com todos os Estados\n",
    "fem_estados = pd.DataFrame(feminicidio.query('SG_UF != \"BR\"'))\n",
    "\n",
    "# Cria um gráfico de linha para verificar como o número de feminicídios por Estados nos \n",
    "# anos de 2006 a 2014 \n",
    "import plotly.express as px\n",
    "fig = px.line(fem_estados, \n",
    "              x=\"ANO\", \n",
    "              y=\"FEMINICIDIO\", \n",
    "              color='SG_UF', \n",
    "              height=500,\n",
    "              title='Número de feminicídio nos anos de 2006 a 2014')\n",
    "\n",
    "raw_symbols = SymbolValidator().values\n",
    "# Take only the string values which are in this order.\n",
    "symbols_names = raw_symbols[::-2]\n",
    "markers = cycle(symbols_names)\n",
    "\n",
    "fig.update_traces(mode='lines+markers')\n",
    "for d in fig.data:\n",
    "    d.marker.symbol = next(markers)\n",
    "    d.marker.size = 5\n",
    "\n",
    "\n",
    "fig.update_layout(xaxis_rangeslider_visible=True)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Esse novo dataset foi criado com as informações contidas:\n",
    "- Do Cruzamento dos dados das Eleitas, por Ano e por Estado e as informações;\n",
    "- Do Cruzamento da orientação das candidatas, por Estado e por ano;\n",
    "- Dos Dados do Mapa da Violência obtido do site http://repositorio.ipea.gov.br/handle/11058/7956, página 41."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Leitura do novo dataset\n",
    "feminicidio = pd.read_csv(r'feminicidio.csv', delimiter=',', encoding='utf_8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANO</th>\n",
       "      <th>SG_UF</th>\n",
       "      <th>FEMINICIDIO</th>\n",
       "      <th>CANDIDATAS_ELEITAS</th>\n",
       "      <th>CENTRO</th>\n",
       "      <th>DIREITA</th>\n",
       "      <th>ESQUERDA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2006</td>\n",
       "      <td>AC</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2006</td>\n",
       "      <td>AL</td>\n",
       "      <td>106</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2006</td>\n",
       "      <td>AM</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2006</td>\n",
       "      <td>AP</td>\n",
       "      <td>53</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2006</td>\n",
       "      <td>BA</td>\n",
       "      <td>243</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    ANO SG_UF  FEMINICIDIO  CANDIDATAS_ELEITAS  CENTRO  DIREITA  ESQUERDA\n",
       "0  2006    AC           15                   6       1        1         4\n",
       "1  2006    AL          106                   3       1        0         2\n",
       "2  2006    AM           13                   4       0        3         1\n",
       "3  2006    AP           53                   6       2        1         3\n",
       "4  2006    BA          243                  11       1        4         6"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verifica as 5 primeiras linhas do dataset\n",
    "feminicidio.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Os dados do Mapa da violência são dos anos de 2005 a 2015, foi escolhido as informações apenas dos anos que coincidiram com os anos eleitorais."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2006, 2008, 2010, 2012, 2014])"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feminicidio['ANO'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Importa módulos para gerar gráficos usando o Plotly\n",
    "\n",
    "# Habilita modo offline\n",
    "from plotly.offline import plot, iplot, init_notebook_mode\n",
    "init_notebook_mode(connected=True)\n",
    "\n",
    "# Definindo o renderizador:\n",
    "import plotly.io as pio\n",
    "pio.renderers\n",
    "\n",
    "import plotly\n",
    "import plotly.offline as py\n",
    "import plotly.express as px\n",
    "import plotly.graph_objs as go\n",
    "import cufflinks as cf\n",
    "from itertools import cycle\n",
    "\n",
    "from plotly.validators.scatter.marker import SymbolValidator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Criação de um novo dataframe para observar o número de feminicídio ao longo dos anos no Brasil\n",
    "fem_br = pd.DataFrame(feminicidio.query('SG_UF == \"BR\"'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "SG_UF=BR<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "BR",
         "line": {
          "color": "#636efa",
          "dash": "solid"
         },
         "mode": "lines",
         "name": "BR",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          4030,
          4029,
          4477,
          4729,
          4836
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "height": 500,
        "legend": {
         "title": {
          "text": "SG_UF"
         },
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Feminicídio ao longo do tempo no Brasil"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "rangeslider": {
          "visible": true
         },
         "title": {
          "text": "ANO"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "FEMINICIDIO"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"f6c41b6f-3474-4864-9271-103a78330957\" class=\"plotly-graph-div\" style=\"height:500px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"f6c41b6f-3474-4864-9271-103a78330957\")) {                    Plotly.newPlot(                        \"f6c41b6f-3474-4864-9271-103a78330957\",                        [{\"hovertemplate\": \"SG_UF=BR<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"BR\", \"line\": {\"color\": \"#636efa\", \"dash\": \"solid\"}, \"mode\": \"lines\", \"name\": \"BR\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [4030, 4029, 4477, 4729, 4836], \"yaxis\": \"y\"}],                        {\"height\": 500, \"legend\": {\"title\": {\"text\": \"SG_UF\"}, \"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Feminic\\u00eddio ao longo do tempo no Brasil\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"rangeslider\": {\"visible\": true}, \"title\": {\"text\": \"ANO\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"FEMINICIDIO\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('f6c41b6f-3474-4864-9271-103a78330957');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Criando um gráfico de área\n",
    "import plotly.express as px\n",
    "fig = px.line(fem_br, \n",
    "              x=\"ANO\", \n",
    "              y=\"FEMINICIDIO\", \n",
    "              color='SG_UF', \n",
    "              height=500,\n",
    "              title='Feminicídio ao longo do tempo no Brasil')\n",
    "fig.update_layout(xaxis_rangeslider_visible=True)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cria um novo dataframe com informações das eleições municipais e federais\n",
    "eleicao_municipais = pd.DataFrame(feminicidio.query('ANO == \"2008\" or ANO == \"2012\"'))\n",
    "eleicao_federais = pd.DataFrame(feminicidio.query('ANO == \"2006\" or ANO == \"2014\"'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "name": "Centro",
         "type": "bar",
         "x": [
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012
         ],
         "y": [
          5,
          34,
          10,
          1,
          79,
          0,
          88,
          0,
          14,
          102,
          63,
          204,
          31,
          24,
          53,
          240,
          0,
          60,
          132,
          20,
          57,
          138,
          8,
          3,
          110,
          166,
          16,
          46,
          0,
          16,
          3,
          1,
          21,
          0,
          18,
          0,
          5,
          16,
          19,
          46,
          8,
          7,
          23,
          68,
          0,
          14,
          33,
          9,
          20,
          32,
          3,
          3,
          16,
          55,
          8,
          19
         ]
        },
        {
         "name": "Direita",
         "type": "bar",
         "x": [
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012
         ],
         "y": [
          4,
          81,
          30,
          9,
          213,
          0,
          92,
          0,
          21,
          95,
          109,
          300,
          26,
          77,
          48,
          274,
          0,
          111,
          137,
          34,
          107,
          190,
          14,
          6,
          94,
          187,
          36,
          76,
          3,
          20,
          9,
          3,
          67,
          0,
          40,
          0,
          3,
          23,
          38,
          54,
          11,
          24,
          20,
          70,
          0,
          21,
          27,
          4,
          37,
          29,
          5,
          1,
          19,
          75,
          7,
          24
         ]
        },
        {
         "name": "Esquerda",
         "type": "bar",
         "x": [
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2008,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012,
          2012
         ],
         "y": [
          14,
          34,
          10,
          13,
          137,
          0,
          80,
          0,
          23,
          27,
          109,
          171,
          23,
          35,
          40,
          90,
          0,
          90,
          95,
          23,
          93,
          147,
          18,
          3,
          33,
          183,
          44,
          37,
          0,
          4,
          2,
          6,
          49,
          0,
          19,
          0,
          11,
          11,
          32,
          52,
          9,
          13,
          13,
          40,
          0,
          35,
          29,
          8,
          24,
          22,
          5,
          2,
          11,
          57,
          13,
          10
         ]
        }
       ],
       "layout": {
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Orientações nas Eleições Municipais"
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"59338d7e-efbe-4f35-9ad5-53b17d9e0ad5\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"59338d7e-efbe-4f35-9ad5-53b17d9e0ad5\")) {                    Plotly.newPlot(                        \"59338d7e-efbe-4f35-9ad5-53b17d9e0ad5\",                        [{\"name\": \"Centro\", \"type\": \"bar\", \"x\": [2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012], \"y\": [5, 34, 10, 1, 79, 0, 88, 0, 14, 102, 63, 204, 31, 24, 53, 240, 0, 60, 132, 20, 57, 138, 8, 3, 110, 166, 16, 46, 0, 16, 3, 1, 21, 0, 18, 0, 5, 16, 19, 46, 8, 7, 23, 68, 0, 14, 33, 9, 20, 32, 3, 3, 16, 55, 8, 19]}, {\"name\": \"Direita\", \"type\": \"bar\", \"x\": [2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012], \"y\": [4, 81, 30, 9, 213, 0, 92, 0, 21, 95, 109, 300, 26, 77, 48, 274, 0, 111, 137, 34, 107, 190, 14, 6, 94, 187, 36, 76, 3, 20, 9, 3, 67, 0, 40, 0, 3, 23, 38, 54, 11, 24, 20, 70, 0, 21, 27, 4, 37, 29, 5, 1, 19, 75, 7, 24]}, {\"name\": \"Esquerda\", \"type\": \"bar\", \"x\": [2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2008, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012, 2012], \"y\": [14, 34, 10, 13, 137, 0, 80, 0, 23, 27, 109, 171, 23, 35, 40, 90, 0, 90, 95, 23, 93, 147, 18, 3, 33, 183, 44, 37, 0, 4, 2, 6, 49, 0, 19, 0, 11, 11, 32, 52, 9, 13, 13, 40, 0, 35, 29, 8, 24, 22, 5, 2, 11, 57, 13, 10]}],                        {\"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Orienta\\u00e7\\u00f5es nas Elei\\u00e7\\u00f5es Municipais\"}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('59338d7e-efbe-4f35-9ad5-53b17d9e0ad5');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Gráfico para verificar a distribuição das Orientações nas Eleições Municipais\n",
    "fig = go.Figure(data=[\n",
    "    go.Bar(name='Centro', x=eleicao_municipais['ANO'], y=eleicao_municipais['CENTRO']),\n",
    "    go.Bar(name='Direita', x=eleicao_municipais['ANO'], y=eleicao_municipais['DIREITA']),\n",
    "    go.Bar(name='Esquerda', x=eleicao_municipais['ANO'], y=eleicao_municipais['ESQUERDA'])\n",
    "])\n",
    "\n",
    "\n",
    "fig.update_layout(title_text='Orientações nas Eleições Municipais')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "name": "Centro",
         "type": "bar",
         "x": [
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014
         ],
         "y": [
          1,
          1,
          0,
          2,
          1,
          0,
          1,
          0,
          1,
          5,
          2,
          2,
          1,
          2,
          4,
          6,
          0,
          1,
          0,
          4,
          0,
          1,
          1,
          2,
          0,
          3,
          0,
          1,
          1,
          0,
          0,
          0,
          0,
          0,
          1,
          0,
          1,
          0,
          0,
          0,
          2,
          0,
          0,
          1,
          0,
          0,
          1,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          1
         ]
        },
        {
         "name": "Direita",
         "type": "bar",
         "x": [
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014
         ],
         "y": [
          1,
          0,
          3,
          1,
          4,
          0,
          1,
          0,
          1,
          0,
          1,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          1,
          6,
          1,
          2,
          1,
          2,
          2,
          3,
          4,
          2,
          0,
          1,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          2,
          0,
          0,
          0,
          0,
          0,
          1,
          0,
          0,
          1,
          0
         ]
        },
        {
         "name": "Esquerda",
         "type": "bar",
         "x": [
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2006,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014,
          2014
         ],
         "y": [
          4,
          2,
          1,
          3,
          6,
          0,
          1,
          0,
          4,
          2,
          4,
          7,
          0,
          0,
          3,
          2,
          0,
          2,
          2,
          5,
          6,
          5,
          0,
          1,
          1,
          7,
          2,
          1,
          1,
          0,
          0,
          0,
          1,
          1,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          0,
          1,
          1,
          0,
          0,
          0,
          1,
          0,
          0,
          0,
          0,
          0,
          0,
          1
         ]
        }
       ],
       "layout": {
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Orientações nas Eleições Federais"
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"27ac95bf-983d-4ef5-9962-3af5052fe500\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"27ac95bf-983d-4ef5-9962-3af5052fe500\")) {                    Plotly.newPlot(                        \"27ac95bf-983d-4ef5-9962-3af5052fe500\",                        [{\"name\": \"Centro\", \"type\": \"bar\", \"x\": [2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014], \"y\": [1, 1, 0, 2, 1, 0, 1, 0, 1, 5, 2, 2, 1, 2, 4, 6, 0, 1, 0, 4, 0, 1, 1, 2, 0, 3, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 2, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1]}, {\"name\": \"Direita\", \"type\": \"bar\", \"x\": [2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014], \"y\": [1, 0, 3, 1, 4, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 6, 1, 2, 1, 2, 2, 3, 4, 2, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0]}, {\"name\": \"Esquerda\", \"type\": \"bar\", \"x\": [2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2006, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014, 2014], \"y\": [4, 2, 1, 3, 6, 0, 1, 0, 4, 2, 4, 7, 0, 0, 3, 2, 0, 2, 2, 5, 6, 5, 0, 1, 1, 7, 2, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1]}],                        {\"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Orienta\\u00e7\\u00f5es nas Elei\\u00e7\\u00f5es Federais\"}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('27ac95bf-983d-4ef5-9962-3af5052fe500');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Gráfico para verificar a distribuição das Orientações nas Eleições Federais\n",
    "fig = go.Figure(data=[\n",
    "    go.Bar(name='Centro', x=eleicao_federais['ANO'], y=eleicao_federais['CENTRO']),\n",
    "    go.Bar(name='Direita', x=eleicao_federais['ANO'], y=eleicao_federais['DIREITA']),\n",
    "    go.Bar(name='Esquerda', x=eleicao_federais['ANO'], y=eleicao_federais['ESQUERDA'])\n",
    "])\n",
    "\n",
    "\n",
    "fig.update_layout(title_text='Orientações nas Eleições Federais')\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Como são muitos Estados e o gráfico acima ficou um pouco confuso, foram criados dataframes para verificar a evolução do feminicídio por Região Geográfica do Brasil"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "fem_norte = feminicidio[feminicidio['SG_UF'].isin(['AC', 'AM', 'RO', 'RR', 'PA', 'TO'])]\n",
    "fem_nordeste = feminicidio[feminicidio['SG_UF'].isin(['AL', 'BA', 'CE', 'MA', 'PB', 'PI', 'PE', 'RN', 'SE'])]\n",
    "fem_centro = feminicidio[feminicidio['SG_UF'].isin(['GO', 'MS', 'MT'])]\n",
    "fem_sudeste = feminicidio[feminicidio['SG_UF'].isin(['ES', 'MG', 'RJ', 'SP'])]\n",
    "fem_sul = feminicidio[feminicidio['SG_UF'].isin(['PR', 'RS', 'SC'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "SG_UF=AC<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "AC",
         "line": {
          "color": "#636efa",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-bar-right-open"
         },
         "mode": "lines+markers",
         "name": "AC",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          15,
          13,
          19,
          16,
          20
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=AM<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "AM",
         "line": {
          "color": "#EF553B",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 152
         },
         "mode": "lines+markers",
         "name": "AM",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          13,
          13,
          16,
          17,
          20
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=PA<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "PA",
         "line": {
          "color": "#00cc96",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "52"
         },
         "mode": "lines+markers",
         "name": "PA",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          140,
          169,
          231,
          232,
          249
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=RO<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "RO",
         "line": {
          "color": "#ab63fa",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-bar-left-open"
         },
         "mode": "lines+markers",
         "name": "RO",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          51,
          39,
          37,
          51,
          56
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=RR<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "RR",
         "line": {
          "color": "#FFA15A",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 151
         },
         "mode": "lines+markers",
         "name": "RR",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          13,
          15,
          11,
          17,
          24
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=TO<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "TO",
         "line": {
          "color": "#19d3f3",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "51"
         },
         "mode": "lines+markers",
         "name": "TO",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          22,
          21,
          34,
          49,
          35
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "height": 500,
        "legend": {
         "title": {
          "text": "SG_UF"
         },
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Feminicídio na Região Norte do Brasil"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "rangeslider": {
          "visible": true
         },
         "title": {
          "text": "ANO"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "FEMINICIDIO"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"3e3d28f4-443a-4428-a32a-7eee4d9d70f1\" class=\"plotly-graph-div\" style=\"height:500px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"3e3d28f4-443a-4428-a32a-7eee4d9d70f1\")) {                    Plotly.newPlot(                        \"3e3d28f4-443a-4428-a32a-7eee4d9d70f1\",                        [{\"hovertemplate\": \"SG_UF=AC<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"AC\", \"line\": {\"color\": \"#636efa\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-bar-right-open\"}, \"mode\": \"lines+markers\", \"name\": \"AC\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [15, 13, 19, 16, 20], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=AM<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"AM\", \"line\": {\"color\": \"#EF553B\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 152}, \"mode\": \"lines+markers\", \"name\": \"AM\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [13, 13, 16, 17, 20], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=PA<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"PA\", \"line\": {\"color\": \"#00cc96\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"52\"}, \"mode\": \"lines+markers\", \"name\": \"PA\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [140, 169, 231, 232, 249], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=RO<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"RO\", \"line\": {\"color\": \"#ab63fa\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-bar-left-open\"}, \"mode\": \"lines+markers\", \"name\": \"RO\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [51, 39, 37, 51, 56], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=RR<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"RR\", \"line\": {\"color\": \"#FFA15A\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 151}, \"mode\": \"lines+markers\", \"name\": \"RR\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [13, 15, 11, 17, 24], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=TO<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"TO\", \"line\": {\"color\": \"#19d3f3\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"51\"}, \"mode\": \"lines+markers\", \"name\": \"TO\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [22, 21, 34, 49, 35], \"yaxis\": \"y\"}],                        {\"height\": 500, \"legend\": {\"title\": {\"text\": \"SG_UF\"}, \"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Feminic\\u00eddio na Regi\\u00e3o Norte do Brasil\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"rangeslider\": {\"visible\": true}, \"title\": {\"text\": \"ANO\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"FEMINICIDIO\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('3e3d28f4-443a-4428-a32a-7eee4d9d70f1');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Criando um gráfico de linha\n",
    "import plotly.express as px\n",
    "fig = px.line(fem_norte, \n",
    "              x=\"ANO\", \n",
    "              y=\"FEMINICIDIO\", \n",
    "              color='SG_UF', \n",
    "              height=500,\n",
    "              title='Feminicídio na Região Norte do Brasil')\n",
    "\n",
    "raw_symbols = SymbolValidator().values\n",
    "# Take only the string values which are in this order.\n",
    "symbols_names = raw_symbols[::-2]\n",
    "markers = cycle(symbols_names)\n",
    "\n",
    "fig.update_traces(mode='lines+markers')\n",
    "for d in fig.data:\n",
    "    d.marker.symbol = next(markers)\n",
    "    d.marker.size = 5\n",
    "\n",
    "\n",
    "fig.update_layout(xaxis_rangeslider_visible=True)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "SG_UF=AL<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "AL",
         "line": {
          "color": "#636efa",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-bar-right-open"
         },
         "mode": "lines+markers",
         "name": "AL",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          106,
          83,
          137,
          133,
          125
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=BA<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "BA",
         "line": {
          "color": "#EF553B",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 152
         },
         "mode": "lines+markers",
         "name": "BA",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          243,
          315,
          438,
          437,
          385
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=CE<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "CE",
         "line": {
          "color": "#00cc96",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "52"
         },
         "mode": "lines+markers",
         "name": "CE",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          134,
          117,
          173,
          219,
          285
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=MA<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "MA",
         "line": {
          "color": "#ab63fa",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-bar-left-open"
         },
         "mode": "lines+markers",
         "name": "MA",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          67,
          81,
          117,
          114,
          152
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=PB<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "PB",
         "line": {
          "color": "#FFA15A",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 151
         },
         "mode": "lines+markers",
         "name": "PB",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          62,
          87,
          119,
          137,
          117
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=PE<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "PE",
         "line": {
          "color": "#19d3f3",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "51"
         },
         "mode": "lines+markers",
         "name": "PE",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          249,
          306,
          338,
          321,
          284
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=PI<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "PI",
         "line": {
          "color": "#FF6692",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-bar-down-open"
         },
         "mode": "lines+markers",
         "name": "PI",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          310,
          298,
          247,
          216,
          239
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=RN<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "RN",
         "line": {
          "color": "#B6E880",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 150
         },
         "mode": "lines+markers",
         "name": "RN",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          42,
          59,
          71,
          64,
          102
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=SE<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "SE",
         "line": {
          "color": "#FF97FF",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "50"
         },
         "mode": "lines+markers",
         "name": "SE",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          40,
          30,
          43,
          62,
          74
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "height": 500,
        "legend": {
         "title": {
          "text": "SG_UF"
         },
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Feminicídio na Região Nordeste do Brasil"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "rangeslider": {
          "visible": true
         },
         "title": {
          "text": "ANO"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "FEMINICIDIO"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"7057a50e-d843-46c2-a7e6-46d36a460bab\" class=\"plotly-graph-div\" style=\"height:500px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"7057a50e-d843-46c2-a7e6-46d36a460bab\")) {                    Plotly.newPlot(                        \"7057a50e-d843-46c2-a7e6-46d36a460bab\",                        [{\"hovertemplate\": \"SG_UF=AL<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"AL\", \"line\": {\"color\": \"#636efa\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-bar-right-open\"}, \"mode\": \"lines+markers\", \"name\": \"AL\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [106, 83, 137, 133, 125], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=BA<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"BA\", \"line\": {\"color\": \"#EF553B\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 152}, \"mode\": \"lines+markers\", \"name\": \"BA\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [243, 315, 438, 437, 385], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=CE<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"CE\", \"line\": {\"color\": \"#00cc96\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"52\"}, \"mode\": \"lines+markers\", \"name\": \"CE\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [134, 117, 173, 219, 285], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=MA<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"MA\", \"line\": {\"color\": \"#ab63fa\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-bar-left-open\"}, \"mode\": \"lines+markers\", \"name\": \"MA\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [67, 81, 117, 114, 152], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=PB<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"PB\", \"line\": {\"color\": \"#FFA15A\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 151}, \"mode\": \"lines+markers\", \"name\": \"PB\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [62, 87, 119, 137, 117], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=PE<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"PE\", \"line\": {\"color\": \"#19d3f3\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"51\"}, \"mode\": \"lines+markers\", \"name\": \"PE\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [249, 306, 338, 321, 284], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=PI<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"PI\", \"line\": {\"color\": \"#FF6692\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-bar-down-open\"}, \"mode\": \"lines+markers\", \"name\": \"PI\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [310, 298, 247, 216, 239], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=RN<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"RN\", \"line\": {\"color\": \"#B6E880\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 150}, \"mode\": \"lines+markers\", \"name\": \"RN\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [42, 59, 71, 64, 102], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=SE<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"SE\", \"line\": {\"color\": \"#FF97FF\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"50\"}, \"mode\": \"lines+markers\", \"name\": \"SE\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [40, 30, 43, 62, 74], \"yaxis\": \"y\"}],                        {\"height\": 500, \"legend\": {\"title\": {\"text\": \"SG_UF\"}, \"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Feminic\\u00eddio na Regi\\u00e3o Nordeste do Brasil\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"rangeslider\": {\"visible\": true}, \"title\": {\"text\": \"ANO\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"FEMINICIDIO\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('7057a50e-d843-46c2-a7e6-46d36a460bab');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Criando um gráfico de linha\n",
    "import plotly.express as px\n",
    "fig = px.line(fem_nordeste, \n",
    "              x=\"ANO\", \n",
    "              y=\"FEMINICIDIO\", \n",
    "              color='SG_UF', \n",
    "              height=500,\n",
    "              title='Feminicídio na Região Nordeste do Brasil')\n",
    "\n",
    "raw_symbols = SymbolValidator().values\n",
    "# Take only the string values which are in this order.\n",
    "symbols_names = raw_symbols[::-2]\n",
    "markers = cycle(symbols_names)\n",
    "\n",
    "fig.update_traces(mode='lines+markers')\n",
    "for d in fig.data:\n",
    "    d.marker.symbol = next(markers)\n",
    "    d.marker.size = 5\n",
    "\n",
    "\n",
    "fig.update_layout(xaxis_rangeslider_visible=True)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "SG_UF=GO<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "GO",
         "line": {
          "color": "#636efa",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-bar-right-open"
         },
         "mode": "lines+markers",
         "name": "GO",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          143,
          160,
          182,
          247,
          290
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=MS<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "MS",
         "line": {
          "color": "#EF553B",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 152
         },
         "mode": "lines+markers",
         "name": "MS",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          55,
          60,
          76,
          77,
          85
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=MT<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "MT",
         "line": {
          "color": "#00cc96",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "52"
         },
         "mode": "lines+markers",
         "name": "MT",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          392,
          377,
          409,
          460,
          403
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "height": 500,
        "legend": {
         "title": {
          "text": "SG_UF"
         },
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Feminicídio na Região Centro-Oeste do Brasil"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "rangeslider": {
          "visible": true
         },
         "title": {
          "text": "ANO"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "FEMINICIDIO"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"97ed2eb5-06fc-442d-b750-1be6e7015dc9\" class=\"plotly-graph-div\" style=\"height:500px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"97ed2eb5-06fc-442d-b750-1be6e7015dc9\")) {                    Plotly.newPlot(                        \"97ed2eb5-06fc-442d-b750-1be6e7015dc9\",                        [{\"hovertemplate\": \"SG_UF=GO<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"GO\", \"line\": {\"color\": \"#636efa\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-bar-right-open\"}, \"mode\": \"lines+markers\", \"name\": \"GO\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [143, 160, 182, 247, 290], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=MS<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"MS\", \"line\": {\"color\": \"#EF553B\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 152}, \"mode\": \"lines+markers\", \"name\": \"MS\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [55, 60, 76, 77, 85], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=MT<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"MT\", \"line\": {\"color\": \"#00cc96\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"52\"}, \"mode\": \"lines+markers\", \"name\": \"MT\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [392, 377, 409, 460, 403], \"yaxis\": \"y\"}],                        {\"height\": 500, \"legend\": {\"title\": {\"text\": \"SG_UF\"}, \"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Feminic\\u00eddio na Regi\\u00e3o Centro-Oeste do Brasil\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"rangeslider\": {\"visible\": true}, \"title\": {\"text\": \"ANO\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"FEMINICIDIO\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('97ed2eb5-06fc-442d-b750-1be6e7015dc9');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Criando um gráfico de linha\n",
    "import plotly.express as px\n",
    "fig = px.line(fem_centro, \n",
    "              x=\"ANO\", \n",
    "              y=\"FEMINICIDIO\", \n",
    "              color='SG_UF', \n",
    "              height=500,\n",
    "              title='Feminicídio na Região Centro-Oeste do Brasil')\n",
    "\n",
    "raw_symbols = SymbolValidator().values\n",
    "# Take only the string values which are in this order.\n",
    "symbols_names = raw_symbols[::-2]\n",
    "markers = cycle(symbols_names)\n",
    "\n",
    "fig.update_traces(mode='lines+markers')\n",
    "for d in fig.data:\n",
    "    d.marker.symbol = next(markers)\n",
    "    d.marker.size = 5\n",
    "\n",
    "\n",
    "fig.update_layout(xaxis_rangeslider_visible=True)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "SG_UF=ES<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "ES",
         "line": {
          "color": "#636efa",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-bar-right-open"
         },
         "mode": "lines+markers",
         "name": "ES",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          183,
          190,
          174,
          163,
          140
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=MG<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "MG",
         "line": {
          "color": "#EF553B",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 152
         },
         "mode": "lines+markers",
         "name": "MG",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          70,
          86,
          80,
          100,
          111
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=RJ<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "RJ",
         "line": {
          "color": "#00cc96",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "52"
         },
         "mode": "lines+markers",
         "name": "RJ",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          504,
          373,
          339,
          365,
          464
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=SP<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "SP",
         "line": {
          "color": "#ab63fa",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-bar-left-open"
         },
         "mode": "lines+markers",
         "name": "SP",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          788,
          667,
          678,
          640,
          612
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "height": 500,
        "legend": {
         "title": {
          "text": "SG_UF"
         },
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Feminicídio na Região Sudeste do Brasil"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "rangeslider": {
          "visible": true
         },
         "title": {
          "text": "ANO"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "FEMINICIDIO"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"2c8617e5-a39a-42f7-9f8c-d1b077ce11df\" class=\"plotly-graph-div\" style=\"height:500px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"2c8617e5-a39a-42f7-9f8c-d1b077ce11df\")) {                    Plotly.newPlot(                        \"2c8617e5-a39a-42f7-9f8c-d1b077ce11df\",                        [{\"hovertemplate\": \"SG_UF=ES<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"ES\", \"line\": {\"color\": \"#636efa\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-bar-right-open\"}, \"mode\": \"lines+markers\", \"name\": \"ES\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [183, 190, 174, 163, 140], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=MG<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"MG\", \"line\": {\"color\": \"#EF553B\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 152}, \"mode\": \"lines+markers\", \"name\": \"MG\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [70, 86, 80, 100, 111], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=RJ<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"RJ\", \"line\": {\"color\": \"#00cc96\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"52\"}, \"mode\": \"lines+markers\", \"name\": \"RJ\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [504, 373, 339, 365, 464], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=SP<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"SP\", \"line\": {\"color\": \"#ab63fa\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-bar-left-open\"}, \"mode\": \"lines+markers\", \"name\": \"SP\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [788, 667, 678, 640, 612], \"yaxis\": \"y\"}],                        {\"height\": 500, \"legend\": {\"title\": {\"text\": \"SG_UF\"}, \"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Feminic\\u00eddio na Regi\\u00e3o Sudeste do Brasil\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"rangeslider\": {\"visible\": true}, \"title\": {\"text\": \"ANO\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"FEMINICIDIO\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('2c8617e5-a39a-42f7-9f8c-d1b077ce11df');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Criando um gráfico de linha\n",
    "import plotly.express as px\n",
    "fig = px.line(fem_sudeste, \n",
    "              x=\"ANO\", \n",
    "              y=\"FEMINICIDIO\", \n",
    "              color='SG_UF', \n",
    "              height=500,\n",
    "              title='Feminicídio na Região Sudeste do Brasil')\n",
    "\n",
    "raw_symbols = SymbolValidator().values\n",
    "# Take only the string values which are in this order.\n",
    "symbols_names = raw_symbols[::-2]\n",
    "markers = cycle(symbols_names)\n",
    "\n",
    "fig.update_traces(mode='lines+markers')\n",
    "for d in fig.data:\n",
    "    d.marker.symbol = next(markers)\n",
    "    d.marker.size = 5\n",
    "\n",
    "\n",
    "fig.update_layout(xaxis_rangeslider_visible=True)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "SG_UF=PR<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "PR",
         "line": {
          "color": "#636efa",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "arrow-bar-right-open"
         },
         "mode": "lines+markers",
         "name": "PR",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          32,
          38,
          40,
          46,
          63
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=RS<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "RS",
         "line": {
          "color": "#EF553B",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": 152
         },
         "mode": "lines+markers",
         "name": "RS",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          162,
          219,
          227,
          247,
          250
         ],
         "yaxis": "y"
        },
        {
         "hovertemplate": "SG_UF=SC<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>",
         "legendgroup": "SC",
         "line": {
          "color": "#00cc96",
          "dash": "solid"
         },
         "marker": {
          "size": 5,
          "symbol": "52"
         },
         "mode": "lines+markers",
         "name": "SC",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "xaxis": "x",
         "y": [
          92,
          86,
          110,
          104,
          111
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "height": 500,
        "legend": {
         "title": {
          "text": "SG_UF"
         },
         "tracegroupgap": 0
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Feminicídio na Região Sul do Brasil"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "rangeslider": {
          "visible": true
         },
         "title": {
          "text": "ANO"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "FEMINICIDIO"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"6351f1cd-7cf5-48fa-b697-846c71b32672\" class=\"plotly-graph-div\" style=\"height:500px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"6351f1cd-7cf5-48fa-b697-846c71b32672\")) {                    Plotly.newPlot(                        \"6351f1cd-7cf5-48fa-b697-846c71b32672\",                        [{\"hovertemplate\": \"SG_UF=PR<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"PR\", \"line\": {\"color\": \"#636efa\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"arrow-bar-right-open\"}, \"mode\": \"lines+markers\", \"name\": \"PR\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [32, 38, 40, 46, 63], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=RS<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"RS\", \"line\": {\"color\": \"#EF553B\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": 152}, \"mode\": \"lines+markers\", \"name\": \"RS\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [162, 219, 227, 247, 250], \"yaxis\": \"y\"}, {\"hovertemplate\": \"SG_UF=SC<br>ANO=%{x}<br>FEMINICIDIO=%{y}<extra></extra>\", \"legendgroup\": \"SC\", \"line\": {\"color\": \"#00cc96\", \"dash\": \"solid\"}, \"marker\": {\"size\": 5, \"symbol\": \"52\"}, \"mode\": \"lines+markers\", \"name\": \"SC\", \"orientation\": \"v\", \"showlegend\": true, \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"xaxis\": \"x\", \"y\": [92, 86, 110, 104, 111], \"yaxis\": \"y\"}],                        {\"height\": 500, \"legend\": {\"title\": {\"text\": \"SG_UF\"}, \"tracegroupgap\": 0}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Feminic\\u00eddio na Regi\\u00e3o Sul do Brasil\"}, \"xaxis\": {\"anchor\": \"y\", \"domain\": [0.0, 1.0], \"rangeslider\": {\"visible\": true}, \"title\": {\"text\": \"ANO\"}}, \"yaxis\": {\"anchor\": \"x\", \"domain\": [0.0, 1.0], \"title\": {\"text\": \"FEMINICIDIO\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('6351f1cd-7cf5-48fa-b697-846c71b32672');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Criando um gráfico de linha\n",
    "import plotly.express as px\n",
    "fig = px.line(fem_sul, \n",
    "              x=\"ANO\", \n",
    "              y=\"FEMINICIDIO\", \n",
    "              color='SG_UF', \n",
    "              height=500,\n",
    "              title='Feminicídio na Região Sul do Brasil')\n",
    "\n",
    "raw_symbols = SymbolValidator().values\n",
    "# Take only the string values which are in this order.\n",
    "symbols_names = raw_symbols[::-2]\n",
    "markers = cycle(symbols_names)\n",
    "\n",
    "fig.update_traces(mode='lines+markers')\n",
    "for d in fig.data:\n",
    "    d.marker.symbol = next(markers)\n",
    "    d.marker.size = 5\n",
    "\n",
    "\n",
    "fig.update_layout(xaxis_rangeslider_visible=True)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cria um filtro com todos os Estados\n",
    "fem_estados = pd.DataFrame(feminicidio.query('SG_UF != \"BR\"'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### As próximas 6 análises, foram realizadas para verificar se há uma possível relação do número de candidatas eleitas com o número de feminicídio por Estado ou sua Orientação Ideológica."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Como os 05 primeiros lugares no Top 10 Estados com o maior número de feminicídio foi o  Estado de SP, um novo dataframe foi realizado para verificar as relações com as candidatas eleitas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANO</th>\n",
       "      <th>SG_UF</th>\n",
       "      <th>FEMINICIDIO</th>\n",
       "      <th>CANDIDATAS_ELEITAS</th>\n",
       "      <th>CENTRO</th>\n",
       "      <th>DIREITA</th>\n",
       "      <th>ESQUERDA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2006</td>\n",
       "      <td>SP</td>\n",
       "      <td>788</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>2010</td>\n",
       "      <td>SP</td>\n",
       "      <td>678</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2008</td>\n",
       "      <td>SP</td>\n",
       "      <td>667</td>\n",
       "      <td>536</td>\n",
       "      <td>166</td>\n",
       "      <td>187</td>\n",
       "      <td>183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2012</td>\n",
       "      <td>SP</td>\n",
       "      <td>640</td>\n",
       "      <td>187</td>\n",
       "      <td>55</td>\n",
       "      <td>75</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>2014</td>\n",
       "      <td>SP</td>\n",
       "      <td>612</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2006</td>\n",
       "      <td>RJ</td>\n",
       "      <td>504</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>2014</td>\n",
       "      <td>RJ</td>\n",
       "      <td>464</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2012</td>\n",
       "      <td>MT</td>\n",
       "      <td>460</td>\n",
       "      <td>44</td>\n",
       "      <td>7</td>\n",
       "      <td>24</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2010</td>\n",
       "      <td>BA</td>\n",
       "      <td>438</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2012</td>\n",
       "      <td>BA</td>\n",
       "      <td>437</td>\n",
       "      <td>137</td>\n",
       "      <td>21</td>\n",
       "      <td>67</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ANO SG_UF  FEMINICIDIO  CANDIDATAS_ELEITAS  CENTRO  DIREITA  ESQUERDA\n",
       "25   2006    SP          788                  13       3        3         7\n",
       "81   2010    SP          678                  15       5        1         9\n",
       "53   2008    SP          667                 536     166      187       183\n",
       "109  2012    SP          640                 187      55       75        57\n",
       "137  2014    SP          612                   0       0        0         0\n",
       "19   2006    RJ          504                  15       4        6         5\n",
       "131  2014    RJ          464                   0       0        0         0\n",
       "97   2012    MT          460                  44       7       24        13\n",
       "60   2010    BA          438                  13       1        3         9\n",
       "88   2012    BA          437                 137      21       67        49"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 0s 10 primeiros estados e o ano em que foram registrados o maior número de feminicídio\n",
    "fem_estados.nlargest(10,[\"FEMINICIDIO\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANO</th>\n",
       "      <th>SG_UF</th>\n",
       "      <th>FEMINICIDIO</th>\n",
       "      <th>CANDIDATAS_ELEITAS</th>\n",
       "      <th>CENTRO</th>\n",
       "      <th>DIREITA</th>\n",
       "      <th>ESQUERDA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2006</td>\n",
       "      <td>SP</td>\n",
       "      <td>788</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2008</td>\n",
       "      <td>SP</td>\n",
       "      <td>667</td>\n",
       "      <td>536</td>\n",
       "      <td>166</td>\n",
       "      <td>187</td>\n",
       "      <td>183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>2010</td>\n",
       "      <td>SP</td>\n",
       "      <td>678</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2012</td>\n",
       "      <td>SP</td>\n",
       "      <td>640</td>\n",
       "      <td>187</td>\n",
       "      <td>55</td>\n",
       "      <td>75</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>2014</td>\n",
       "      <td>SP</td>\n",
       "      <td>612</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ANO SG_UF  FEMINICIDIO  CANDIDATAS_ELEITAS  CENTRO  DIREITA  ESQUERDA\n",
       "25   2006    SP          788                  13       3        3         7\n",
       "53   2008    SP          667                 536     166      187       183\n",
       "81   2010    SP          678                  15       5        1         9\n",
       "109  2012    SP          640                 187      55       75        57\n",
       "137  2014    SP          612                   0       0        0         0"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cria um novo dataframe filtrando o Estado de SP\n",
    "fem_sampa = pd.DataFrame(feminicidio.query('SG_UF == \"SP\"'))\n",
    "fem_sampa.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "line": {
          "color": "#17BECF"
         },
         "name": "Feminicídio no Estado de SP",
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "y": [
          788,
          667,
          678,
          640,
          612
         ]
        },
        {
         "line": {
          "color": "#7F7F7F"
         },
         "name": "Candidatas Eleitas no Estado de SP",
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "y": [
          13,
          536,
          15,
          187,
          0
         ]
        }
       ],
       "layout": {
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Comparação do número de Feminicídio versus número de Candidatas Eleitas no Estado de SP"
        },
        "xaxis": {
         "title": {
          "text": "Período"
         }
        },
        "yaxis": {
         "title": {
          "text": "Número"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"1b732b4f-87f3-4c52-a3f1-e765cb85d2dc\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"1b732b4f-87f3-4c52-a3f1-e765cb85d2dc\")) {                    Plotly.newPlot(                        \"1b732b4f-87f3-4c52-a3f1-e765cb85d2dc\",                        [{\"line\": {\"color\": \"#17BECF\"}, \"name\": \"Feminic\\u00eddio no Estado de SP\", \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"y\": [788, 667, 678, 640, 612]}, {\"line\": {\"color\": \"#7F7F7F\"}, \"name\": \"Candidatas Eleitas no Estado de SP\", \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"y\": [13, 536, 15, 187, 0]}],                        {\"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Compara\\u00e7\\u00e3o do n\\u00famero de Feminic\\u00eddio versus n\\u00famero de Candidatas Eleitas no Estado de SP\"}, \"xaxis\": {\"title\": {\"text\": \"Per\\u00edodo\"}}, \"yaxis\": {\"title\": {\"text\": \"N\\u00famero\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('1b732b4f-87f3-4c52-a3f1-e765cb85d2dc');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Criando Layout:\n",
    "configuracoes_layout = go.Layout(title='Comparação do número de Feminicídio versus número de Candidatas Eleitas no Estado de SP',\n",
    "                                 yaxis={'title':'Número'},\n",
    "                                 xaxis={'title': 'Período'})\n",
    "\n",
    "fem_sp = go.Scatter(x=fem_sampa['ANO'], \n",
    "                y=fem_sampa['FEMINICIDIO'],                    \n",
    "                        name = 'Feminicídio no Estado de SP',\n",
    "                        line = dict(color = '#17BECF'))\n",
    "\n",
    "cand_sp = go.Scatter(x=fem_sampa['ANO'], \n",
    "                        y=fem_sampa['CANDIDATAS_ELEITAS'],                    \n",
    "                        name = 'Candidatas Eleitas no Estado de SP',\n",
    "                        line = dict(color = '#7F7F7F'))\n",
    "\n",
    "data = [fem_sp, cand_sp]\n",
    "\n",
    "# Objeto figura:\n",
    "fig = go.Figure(data=data, layout=configuracoes_layout)\n",
    "\n",
    "# plotando o grafico:\n",
    "py.iplot(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Como Primeiro  lugar no Top 10 Estados com o menor número de feminicídio foi o  Estado de Roraima, um novo dataframe foi realizado para verificar as relações com as candidatas eleitas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANO</th>\n",
       "      <th>SG_UF</th>\n",
       "      <th>FEMINICIDIO</th>\n",
       "      <th>CANDIDATAS_ELEITAS</th>\n",
       "      <th>CENTRO</th>\n",
       "      <th>DIREITA</th>\n",
       "      <th>ESQUERDA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2010</td>\n",
       "      <td>RR</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2006</td>\n",
       "      <td>AM</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2006</td>\n",
       "      <td>RR</td>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2008</td>\n",
       "      <td>AC</td>\n",
       "      <td>13</td>\n",
       "      <td>23</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2008</td>\n",
       "      <td>AM</td>\n",
       "      <td>13</td>\n",
       "      <td>50</td>\n",
       "      <td>10</td>\n",
       "      <td>30</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2006</td>\n",
       "      <td>AC</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2008</td>\n",
       "      <td>RR</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2010</td>\n",
       "      <td>AM</td>\n",
       "      <td>16</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>2012</td>\n",
       "      <td>AC</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>2012</td>\n",
       "      <td>AM</td>\n",
       "      <td>17</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ANO SG_UF  FEMINICIDIO  CANDIDATAS_ELEITAS  CENTRO  DIREITA  ESQUERDA\n",
       "79  2010    RR           11                   4       2        1         1\n",
       "2   2006    AM           13                   4       0        3         1\n",
       "23  2006    RR           13                   5       2        2         1\n",
       "28  2008    AC           13                  23       5        4        14\n",
       "30  2008    AM           13                  50      10       30        10\n",
       "0   2006    AC           15                   6       1        1         4\n",
       "51  2008    RR           15                  12       3        6         3\n",
       "58  2010    AM           16                   4       0        3         1\n",
       "84  2012    AC           16                   3       0        3         0\n",
       "86  2012    AM           17                  14       3        9         2"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 0s 10 primeiros estados e o ano em que foram registrados o menor número de feminicídio\n",
    "fem_estados.nsmallest(10,[\"FEMINICIDIO\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANO</th>\n",
       "      <th>SG_UF</th>\n",
       "      <th>FEMINICIDIO</th>\n",
       "      <th>CANDIDATAS_ELEITAS</th>\n",
       "      <th>CENTRO</th>\n",
       "      <th>DIREITA</th>\n",
       "      <th>ESQUERDA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2006</td>\n",
       "      <td>RR</td>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2008</td>\n",
       "      <td>RR</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2010</td>\n",
       "      <td>RR</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>2012</td>\n",
       "      <td>RR</td>\n",
       "      <td>17</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>2014</td>\n",
       "      <td>RR</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ANO SG_UF  FEMINICIDIO  CANDIDATAS_ELEITAS  CENTRO  DIREITA  ESQUERDA\n",
       "23   2006    RR           13                   5       2        2         1\n",
       "51   2008    RR           15                  12       3        6         3\n",
       "79   2010    RR           11                   4       2        1         1\n",
       "107  2012    RR           17                   6       3        1         2\n",
       "135  2014    RR           24                   1       0        1         0"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cria um novo dataframe com as informaçoes apenas do Estado de Roraima\n",
    "fem_roraima = pd.DataFrame(feminicidio.query('SG_UF == \"RR\"'))\n",
    "fem_roraima.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "line": {
          "color": "#17BECF"
         },
         "name": "Feminicídio no Estado de RR",
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "y": [
          13,
          15,
          11,
          17,
          24
         ]
        },
        {
         "line": {
          "color": "#7F7F7F"
         },
         "name": "Candidatas Eleitas no Estado de RR",
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "y": [
          5,
          12,
          4,
          6,
          1
         ]
        }
       ],
       "layout": {
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Comparação do número de Feminicídio versus número de Candidatas Eleitas no Estado de RR"
        },
        "xaxis": {
         "title": {
          "text": "Período"
         }
        },
        "yaxis": {
         "title": {
          "text": "Número"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"9f8738ba-4234-41ff-b318-c7cabe4c2117\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"9f8738ba-4234-41ff-b318-c7cabe4c2117\")) {                    Plotly.newPlot(                        \"9f8738ba-4234-41ff-b318-c7cabe4c2117\",                        [{\"line\": {\"color\": \"#17BECF\"}, \"name\": \"Feminic\\u00eddio no Estado de RR\", \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"y\": [13, 15, 11, 17, 24]}, {\"line\": {\"color\": \"#7F7F7F\"}, \"name\": \"Candidatas Eleitas no Estado de RR\", \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"y\": [5, 12, 4, 6, 1]}],                        {\"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Compara\\u00e7\\u00e3o do n\\u00famero de Feminic\\u00eddio versus n\\u00famero de Candidatas Eleitas no Estado de RR\"}, \"xaxis\": {\"title\": {\"text\": \"Per\\u00edodo\"}}, \"yaxis\": {\"title\": {\"text\": \"N\\u00famero\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('9f8738ba-4234-41ff-b318-c7cabe4c2117');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Criando Layout:\n",
    "configuracoes_layout = go.Layout(title='Comparação do número de Feminicídio versus número de Candidatas Eleitas no Estado de RR',\n",
    "                                 yaxis={'title':'Número'},\n",
    "                                 xaxis={'title': 'Período'})\n",
    "\n",
    "fem_rr = go.Scatter(x=fem_roraima['ANO'], \n",
    "                y=fem_roraima['FEMINICIDIO'],                    \n",
    "                        name = 'Feminicídio no Estado de RR',\n",
    "                        line = dict(color = '#17BECF'))\n",
    "\n",
    "cand_rr = go.Scatter(x=fem_roraima['ANO'], \n",
    "                        y=fem_roraima['CANDIDATAS_ELEITAS'],                    \n",
    "                        name = 'Candidatas Eleitas no Estado de RR',\n",
    "                        line = dict(color = '#7F7F7F'))\n",
    "\n",
    "data = [fem_rr, cand_rr]\n",
    "\n",
    "# Objeto figura:\n",
    "fig = go.Figure(data=data, layout=configuracoes_layout)\n",
    "\n",
    "# plotando o grafico:\n",
    "py.iplot(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Como Primeiro  lugar no Top 10 Estados com o maior número de Candidatas Eleita foi o  Estado de Minas Gerais, um novo dataframe foi realizado para verificar as relações com o feminicídio no Estado."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANO</th>\n",
       "      <th>SG_UF</th>\n",
       "      <th>FEMINICIDIO</th>\n",
       "      <th>CANDIDATAS_ELEITAS</th>\n",
       "      <th>CENTRO</th>\n",
       "      <th>DIREITA</th>\n",
       "      <th>ESQUERDA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2008</td>\n",
       "      <td>MG</td>\n",
       "      <td>86</td>\n",
       "      <td>675</td>\n",
       "      <td>204</td>\n",
       "      <td>300</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2008</td>\n",
       "      <td>PB</td>\n",
       "      <td>87</td>\n",
       "      <td>604</td>\n",
       "      <td>240</td>\n",
       "      <td>274</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2008</td>\n",
       "      <td>SP</td>\n",
       "      <td>667</td>\n",
       "      <td>536</td>\n",
       "      <td>166</td>\n",
       "      <td>187</td>\n",
       "      <td>183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2008</td>\n",
       "      <td>RS</td>\n",
       "      <td>219</td>\n",
       "      <td>475</td>\n",
       "      <td>138</td>\n",
       "      <td>190</td>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2008</td>\n",
       "      <td>BA</td>\n",
       "      <td>315</td>\n",
       "      <td>429</td>\n",
       "      <td>79</td>\n",
       "      <td>213</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2008</td>\n",
       "      <td>PR</td>\n",
       "      <td>38</td>\n",
       "      <td>364</td>\n",
       "      <td>132</td>\n",
       "      <td>137</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2008</td>\n",
       "      <td>MA</td>\n",
       "      <td>81</td>\n",
       "      <td>281</td>\n",
       "      <td>63</td>\n",
       "      <td>109</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2008</td>\n",
       "      <td>PI</td>\n",
       "      <td>298</td>\n",
       "      <td>261</td>\n",
       "      <td>60</td>\n",
       "      <td>111</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2008</td>\n",
       "      <td>CE</td>\n",
       "      <td>117</td>\n",
       "      <td>260</td>\n",
       "      <td>88</td>\n",
       "      <td>92</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2008</td>\n",
       "      <td>RN</td>\n",
       "      <td>59</td>\n",
       "      <td>257</td>\n",
       "      <td>57</td>\n",
       "      <td>107</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ANO SG_UF  FEMINICIDIO  CANDIDATAS_ELEITAS  CENTRO  DIREITA  ESQUERDA\n",
       "39  2008    MG           86                 675     204      300       171\n",
       "43  2008    PB           87                 604     240      274        90\n",
       "53  2008    SP          667                 536     166      187       183\n",
       "49  2008    RS          219                 475     138      190       147\n",
       "32  2008    BA          315                 429      79      213       137\n",
       "46  2008    PR           38                 364     132      137        95\n",
       "38  2008    MA           81                 281      63      109       109\n",
       "45  2008    PI          298                 261      60      111        90\n",
       "34  2008    CE          117                 260      88       92        80\n",
       "48  2008    RN           59                 257      57      107        93"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 0s 10 primeiros estados e o ano em que Candidatas foram eleitas.\n",
    "fem_estados.nlargest(10,[\"CANDIDATAS_ELEITAS\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANO</th>\n",
       "      <th>SG_UF</th>\n",
       "      <th>FEMINICIDIO</th>\n",
       "      <th>CANDIDATAS_ELEITAS</th>\n",
       "      <th>CENTRO</th>\n",
       "      <th>DIREITA</th>\n",
       "      <th>ESQUERDA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2006</td>\n",
       "      <td>MG</td>\n",
       "      <td>70</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2008</td>\n",
       "      <td>MG</td>\n",
       "      <td>86</td>\n",
       "      <td>675</td>\n",
       "      <td>204</td>\n",
       "      <td>300</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2010</td>\n",
       "      <td>MG</td>\n",
       "      <td>80</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2012</td>\n",
       "      <td>MG</td>\n",
       "      <td>100</td>\n",
       "      <td>152</td>\n",
       "      <td>46</td>\n",
       "      <td>54</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>2014</td>\n",
       "      <td>MG</td>\n",
       "      <td>111</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ANO SG_UF  FEMINICIDIO  CANDIDATAS_ELEITAS  CENTRO  DIREITA  ESQUERDA\n",
       "11   2006    MG           70                   9       2        0         7\n",
       "39   2008    MG           86                 675     204      300       171\n",
       "67   2010    MG           80                   5       0        0         5\n",
       "95   2012    MG          100                 152      46       54        52\n",
       "123  2014    MG          111                   0       0        0         0"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fem_minas = pd.DataFrame(feminicidio.query('SG_UF == \"MG\"'))\n",
    "fem_minas.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "line": {
          "color": "#17BECF"
         },
         "name": "Feminicídio no Estado de MG",
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "y": [
          70,
          86,
          80,
          100,
          111
         ]
        },
        {
         "line": {
          "color": "#7F7F7F"
         },
         "name": "Candidatas Eleitas no Estado de MG",
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "y": [
          9,
          675,
          5,
          152,
          0
         ]
        }
       ],
       "layout": {
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Comparação do número de Feminicídio versus número de Candidatas Eleitas no Estado de MG"
        },
        "xaxis": {
         "title": {
          "text": "Período"
         }
        },
        "yaxis": {
         "title": {
          "text": "Número"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"c1efce7f-5986-456e-8b6f-436281f03a3d\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"c1efce7f-5986-456e-8b6f-436281f03a3d\")) {                    Plotly.newPlot(                        \"c1efce7f-5986-456e-8b6f-436281f03a3d\",                        [{\"line\": {\"color\": \"#17BECF\"}, \"name\": \"Feminic\\u00eddio no Estado de MG\", \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"y\": [70, 86, 80, 100, 111]}, {\"line\": {\"color\": \"#7F7F7F\"}, \"name\": \"Candidatas Eleitas no Estado de MG\", \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"y\": [9, 675, 5, 152, 0]}],                        {\"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Compara\\u00e7\\u00e3o do n\\u00famero de Feminic\\u00eddio versus n\\u00famero de Candidatas Eleitas no Estado de MG\"}, \"xaxis\": {\"title\": {\"text\": \"Per\\u00edodo\"}}, \"yaxis\": {\"title\": {\"text\": \"N\\u00famero\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('c1efce7f-5986-456e-8b6f-436281f03a3d');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Criando Layout:\n",
    "configuracoes_layout = go.Layout(title='Comparação do número de Feminicídio versus número de Candidatas Eleitas no Estado de MG',\n",
    "                                 yaxis={'title':'Número'},\n",
    "                                 xaxis={'title': 'Período'})\n",
    "\n",
    "fem_mg = go.Scatter(x=fem_minas['ANO'], \n",
    "                y=fem_minas['FEMINICIDIO'],                    \n",
    "                        name = 'Feminicídio no Estado de MG',\n",
    "                        line = dict(color = '#17BECF'))\n",
    "\n",
    "cand_mg = go.Scatter(x=fem_minas['ANO'], \n",
    "                        y=fem_minas['CANDIDATAS_ELEITAS'],                    \n",
    "                        name = 'Candidatas Eleitas no Estado de MG',\n",
    "                        line = dict(color = '#7F7F7F'))\n",
    "\n",
    "data = [fem_mg, cand_mg]\n",
    "\n",
    "# Objeto figura:\n",
    "fig = go.Figure(data=data, layout=configuracoes_layout)\n",
    "\n",
    "# plotando o grafico:\n",
    "py.iplot(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Como Primeiro  lugar no Top 10 Estados com o maior número de Candidatas de Centro foi o  Estado da Paraíba, um novo dataframe foi realizado para verificar as relações com o feminicídio no Estado."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANO</th>\n",
       "      <th>SG_UF</th>\n",
       "      <th>FEMINICIDIO</th>\n",
       "      <th>CANDIDATAS_ELEITAS</th>\n",
       "      <th>CENTRO</th>\n",
       "      <th>DIREITA</th>\n",
       "      <th>ESQUERDA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2008</td>\n",
       "      <td>PB</td>\n",
       "      <td>87</td>\n",
       "      <td>604</td>\n",
       "      <td>240</td>\n",
       "      <td>274</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2008</td>\n",
       "      <td>MG</td>\n",
       "      <td>86</td>\n",
       "      <td>675</td>\n",
       "      <td>204</td>\n",
       "      <td>300</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2008</td>\n",
       "      <td>SP</td>\n",
       "      <td>667</td>\n",
       "      <td>536</td>\n",
       "      <td>166</td>\n",
       "      <td>187</td>\n",
       "      <td>183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2008</td>\n",
       "      <td>RS</td>\n",
       "      <td>219</td>\n",
       "      <td>475</td>\n",
       "      <td>138</td>\n",
       "      <td>190</td>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2008</td>\n",
       "      <td>PR</td>\n",
       "      <td>38</td>\n",
       "      <td>364</td>\n",
       "      <td>132</td>\n",
       "      <td>137</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2008</td>\n",
       "      <td>SC</td>\n",
       "      <td>86</td>\n",
       "      <td>237</td>\n",
       "      <td>110</td>\n",
       "      <td>94</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2008</td>\n",
       "      <td>GO</td>\n",
       "      <td>160</td>\n",
       "      <td>224</td>\n",
       "      <td>102</td>\n",
       "      <td>95</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2008</td>\n",
       "      <td>CE</td>\n",
       "      <td>117</td>\n",
       "      <td>260</td>\n",
       "      <td>88</td>\n",
       "      <td>92</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2008</td>\n",
       "      <td>BA</td>\n",
       "      <td>315</td>\n",
       "      <td>429</td>\n",
       "      <td>79</td>\n",
       "      <td>213</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2012</td>\n",
       "      <td>PB</td>\n",
       "      <td>137</td>\n",
       "      <td>178</td>\n",
       "      <td>68</td>\n",
       "      <td>70</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ANO SG_UF  FEMINICIDIO  CANDIDATAS_ELEITAS  CENTRO  DIREITA  ESQUERDA\n",
       "43  2008    PB           87                 604     240      274        90\n",
       "39  2008    MG           86                 675     204      300       171\n",
       "53  2008    SP          667                 536     166      187       183\n",
       "49  2008    RS          219                 475     138      190       147\n",
       "46  2008    PR           38                 364     132      137        95\n",
       "52  2008    SC           86                 237     110       94        33\n",
       "37  2008    GO          160                 224     102       95        27\n",
       "34  2008    CE          117                 260      88       92        80\n",
       "32  2008    BA          315                 429      79      213       137\n",
       "99  2012    PB          137                 178      68       70        40"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 0s 10 primeiros estados que mais elegeram mulheres de orientação à Direita\n",
    "fem_estados.nlargest(10,[\"CENTRO\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANO</th>\n",
       "      <th>SG_UF</th>\n",
       "      <th>FEMINICIDIO</th>\n",
       "      <th>CANDIDATAS_ELEITAS</th>\n",
       "      <th>CENTRO</th>\n",
       "      <th>DIREITA</th>\n",
       "      <th>ESQUERDA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2006</td>\n",
       "      <td>PB</td>\n",
       "      <td>62</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2008</td>\n",
       "      <td>PB</td>\n",
       "      <td>87</td>\n",
       "      <td>604</td>\n",
       "      <td>240</td>\n",
       "      <td>274</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2010</td>\n",
       "      <td>PB</td>\n",
       "      <td>119</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2012</td>\n",
       "      <td>PB</td>\n",
       "      <td>137</td>\n",
       "      <td>178</td>\n",
       "      <td>68</td>\n",
       "      <td>70</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>2014</td>\n",
       "      <td>PB</td>\n",
       "      <td>117</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ANO SG_UF  FEMINICIDIO  CANDIDATAS_ELEITAS  CENTRO  DIREITA  ESQUERDA\n",
       "15   2006    PB           62                   8       6        0         2\n",
       "43   2008    PB           87                 604     240      274        90\n",
       "71   2010    PB          119                  12       4        4         4\n",
       "99   2012    PB          137                 178      68       70        40\n",
       "127  2014    PB          117                   2       1        0         1"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fem_paraiba = pd.DataFrame(feminicidio.query('SG_UF == \"PB\"'))\n",
    "fem_paraiba.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "line": {
          "color": "#17BECF"
         },
         "name": "Feminicídio no Estado de PB",
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "y": [
          62,
          87,
          119,
          137,
          117
         ]
        },
        {
         "line": {
          "color": "#7F7F7F"
         },
         "name": "Candidatas de Centro no Estado de PB",
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "y": [
          6,
          240,
          4,
          68,
          1
         ]
        }
       ],
       "layout": {
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Comparação do número de Feminicídio versus número de Candidatas de Centro em PB"
        },
        "xaxis": {
         "title": {
          "text": "Período"
         }
        },
        "yaxis": {
         "title": {
          "text": "Número"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"7f1a5eab-a105-47d6-bc6c-706076288c47\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"7f1a5eab-a105-47d6-bc6c-706076288c47\")) {                    Plotly.newPlot(                        \"7f1a5eab-a105-47d6-bc6c-706076288c47\",                        [{\"line\": {\"color\": \"#17BECF\"}, \"name\": \"Feminic\\u00eddio no Estado de PB\", \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"y\": [62, 87, 119, 137, 117]}, {\"line\": {\"color\": \"#7F7F7F\"}, \"name\": \"Candidatas de Centro no Estado de PB\", \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"y\": [6, 240, 4, 68, 1]}],                        {\"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Compara\\u00e7\\u00e3o do n\\u00famero de Feminic\\u00eddio versus n\\u00famero de Candidatas de Centro em PB\"}, \"xaxis\": {\"title\": {\"text\": \"Per\\u00edodo\"}}, \"yaxis\": {\"title\": {\"text\": \"N\\u00famero\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('7f1a5eab-a105-47d6-bc6c-706076288c47');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Criando Layout:\n",
    "configuracoes_layout = go.Layout(title='Comparação do número de Feminicídio versus número de Candidatas de Centro em PB',\n",
    "                                 yaxis={'title':'Número'},\n",
    "                                 xaxis={'title': 'Período'})\n",
    "\n",
    "fem_pb = go.Scatter(x=fem_paraiba['ANO'], \n",
    "                y=fem_paraiba['FEMINICIDIO'],                    \n",
    "                        name = 'Feminicídio no Estado de PB',\n",
    "                        line = dict(color = '#17BECF'))\n",
    "\n",
    "cand_pb = go.Scatter(x=fem_paraiba['ANO'], \n",
    "                        y=fem_paraiba['CENTRO'],                    \n",
    "                        name = 'Candidatas de Centro no Estado de PB',\n",
    "                        line = dict(color = '#7F7F7F'))\n",
    "\n",
    "data = [fem_pb, cand_pb]\n",
    "\n",
    "# Objeto figura:\n",
    "fig = go.Figure(data=data, layout=configuracoes_layout)\n",
    "\n",
    "# plotando o grafico:\n",
    "py.iplot(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Como Primeiro  lugar no Top 10 Estados com o maior número de Candidatas à Direita foi o  Estado de Minas Gerais novamente,  foi utilizado o mesmo dataframe criado acima para verificar as relações com o feminicídio no Estado e das Candidatas à Direita."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANO</th>\n",
       "      <th>SG_UF</th>\n",
       "      <th>FEMINICIDIO</th>\n",
       "      <th>CANDIDATAS_ELEITAS</th>\n",
       "      <th>CENTRO</th>\n",
       "      <th>DIREITA</th>\n",
       "      <th>ESQUERDA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2008</td>\n",
       "      <td>MG</td>\n",
       "      <td>86</td>\n",
       "      <td>675</td>\n",
       "      <td>204</td>\n",
       "      <td>300</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2008</td>\n",
       "      <td>PB</td>\n",
       "      <td>87</td>\n",
       "      <td>604</td>\n",
       "      <td>240</td>\n",
       "      <td>274</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2008</td>\n",
       "      <td>BA</td>\n",
       "      <td>315</td>\n",
       "      <td>429</td>\n",
       "      <td>79</td>\n",
       "      <td>213</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2008</td>\n",
       "      <td>RS</td>\n",
       "      <td>219</td>\n",
       "      <td>475</td>\n",
       "      <td>138</td>\n",
       "      <td>190</td>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2008</td>\n",
       "      <td>SP</td>\n",
       "      <td>667</td>\n",
       "      <td>536</td>\n",
       "      <td>166</td>\n",
       "      <td>187</td>\n",
       "      <td>183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2008</td>\n",
       "      <td>PR</td>\n",
       "      <td>38</td>\n",
       "      <td>364</td>\n",
       "      <td>132</td>\n",
       "      <td>137</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2008</td>\n",
       "      <td>PI</td>\n",
       "      <td>298</td>\n",
       "      <td>261</td>\n",
       "      <td>60</td>\n",
       "      <td>111</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2008</td>\n",
       "      <td>MA</td>\n",
       "      <td>81</td>\n",
       "      <td>281</td>\n",
       "      <td>63</td>\n",
       "      <td>109</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2008</td>\n",
       "      <td>RN</td>\n",
       "      <td>59</td>\n",
       "      <td>257</td>\n",
       "      <td>57</td>\n",
       "      <td>107</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2008</td>\n",
       "      <td>GO</td>\n",
       "      <td>160</td>\n",
       "      <td>224</td>\n",
       "      <td>102</td>\n",
       "      <td>95</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ANO SG_UF  FEMINICIDIO  CANDIDATAS_ELEITAS  CENTRO  DIREITA  ESQUERDA\n",
       "39  2008    MG           86                 675     204      300       171\n",
       "43  2008    PB           87                 604     240      274        90\n",
       "32  2008    BA          315                 429      79      213       137\n",
       "49  2008    RS          219                 475     138      190       147\n",
       "53  2008    SP          667                 536     166      187       183\n",
       "46  2008    PR           38                 364     132      137        95\n",
       "45  2008    PI          298                 261      60      111        90\n",
       "38  2008    MA           81                 281      63      109       109\n",
       "48  2008    RN           59                 257      57      107        93\n",
       "37  2008    GO          160                 224     102       95        27"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 0s 10 primeiros estados que mais elegeram mulheres de orientação à Direita\n",
    "fem_estados.nlargest(10,[\"DIREITA\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "line": {
          "color": "#17BECF"
         },
         "name": "Feminicídio no Estado de MG",
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "y": [
          70,
          86,
          80,
          100,
          111
         ]
        },
        {
         "line": {
          "color": "#7F7F7F"
         },
         "name": "Candidatas à direita no Estado de MG",
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "y": [
          0,
          300,
          0,
          54,
          0
         ]
        }
       ],
       "layout": {
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Comparação do número de Feminicídio versus número de Candidatas à Direita Estado de MG"
        },
        "xaxis": {
         "title": {
          "text": "Período"
         }
        },
        "yaxis": {
         "title": {
          "text": "Número"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"3646affe-873e-4ff0-9f75-50261c194b77\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"3646affe-873e-4ff0-9f75-50261c194b77\")) {                    Plotly.newPlot(                        \"3646affe-873e-4ff0-9f75-50261c194b77\",                        [{\"line\": {\"color\": \"#17BECF\"}, \"name\": \"Feminic\\u00eddio no Estado de MG\", \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"y\": [70, 86, 80, 100, 111]}, {\"line\": {\"color\": \"#7F7F7F\"}, \"name\": \"Candidatas \\u00e0 direita no Estado de MG\", \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"y\": [0, 300, 0, 54, 0]}],                        {\"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Compara\\u00e7\\u00e3o do n\\u00famero de Feminic\\u00eddio versus n\\u00famero de Candidatas \\u00e0 Direita Estado de MG\"}, \"xaxis\": {\"title\": {\"text\": \"Per\\u00edodo\"}}, \"yaxis\": {\"title\": {\"text\": \"N\\u00famero\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('3646affe-873e-4ff0-9f75-50261c194b77');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Criando Layout:\n",
    "configuracoes_layout = go.Layout(title='Comparação do número de Feminicídio versus número de Candidatas à Direita Estado de MG',\n",
    "                                 yaxis={'title':'Número'},\n",
    "                                 xaxis={'title': 'Período'})\n",
    "\n",
    "fem_mg = go.Scatter(x=fem_minas['ANO'], \n",
    "                y=fem_minas['FEMINICIDIO'],                    \n",
    "                        name = 'Feminicídio no Estado de MG',\n",
    "                        line = dict(color = '#17BECF'))\n",
    "\n",
    "cand_mg = go.Scatter(x=fem_minas['ANO'], \n",
    "                        y=fem_minas['DIREITA'],                    \n",
    "                        name = 'Candidatas à direita no Estado de MG',\n",
    "                        line = dict(color = '#7F7F7F'))\n",
    "\n",
    "data = [fem_mg, cand_mg]\n",
    "\n",
    "# Objeto figura:\n",
    "fig = go.Figure(data=data, layout=configuracoes_layout)\n",
    "\n",
    "# plotando o grafico:\n",
    "py.iplot(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Como Primeiro  lugar no Top 10 Estados com o maior número de Candidatas à Esquerda foi o  Estado de São Paulo novamente,  foi utilizado o mesmo dataframe criado acima para verificar as relações com o feminicídio no Estado e das Candidatas à Esquerda"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANO</th>\n",
       "      <th>SG_UF</th>\n",
       "      <th>FEMINICIDIO</th>\n",
       "      <th>CANDIDATAS_ELEITAS</th>\n",
       "      <th>CENTRO</th>\n",
       "      <th>DIREITA</th>\n",
       "      <th>ESQUERDA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2008</td>\n",
       "      <td>SP</td>\n",
       "      <td>667</td>\n",
       "      <td>536</td>\n",
       "      <td>166</td>\n",
       "      <td>187</td>\n",
       "      <td>183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2008</td>\n",
       "      <td>MG</td>\n",
       "      <td>86</td>\n",
       "      <td>675</td>\n",
       "      <td>204</td>\n",
       "      <td>300</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2008</td>\n",
       "      <td>RS</td>\n",
       "      <td>219</td>\n",
       "      <td>475</td>\n",
       "      <td>138</td>\n",
       "      <td>190</td>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2008</td>\n",
       "      <td>BA</td>\n",
       "      <td>315</td>\n",
       "      <td>429</td>\n",
       "      <td>79</td>\n",
       "      <td>213</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2008</td>\n",
       "      <td>MA</td>\n",
       "      <td>81</td>\n",
       "      <td>281</td>\n",
       "      <td>63</td>\n",
       "      <td>109</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2008</td>\n",
       "      <td>PR</td>\n",
       "      <td>38</td>\n",
       "      <td>364</td>\n",
       "      <td>132</td>\n",
       "      <td>137</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2008</td>\n",
       "      <td>RN</td>\n",
       "      <td>59</td>\n",
       "      <td>257</td>\n",
       "      <td>57</td>\n",
       "      <td>107</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2008</td>\n",
       "      <td>PB</td>\n",
       "      <td>87</td>\n",
       "      <td>604</td>\n",
       "      <td>240</td>\n",
       "      <td>274</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2008</td>\n",
       "      <td>PI</td>\n",
       "      <td>298</td>\n",
       "      <td>261</td>\n",
       "      <td>60</td>\n",
       "      <td>111</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2008</td>\n",
       "      <td>CE</td>\n",
       "      <td>117</td>\n",
       "      <td>260</td>\n",
       "      <td>88</td>\n",
       "      <td>92</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ANO SG_UF  FEMINICIDIO  CANDIDATAS_ELEITAS  CENTRO  DIREITA  ESQUERDA\n",
       "53  2008    SP          667                 536     166      187       183\n",
       "39  2008    MG           86                 675     204      300       171\n",
       "49  2008    RS          219                 475     138      190       147\n",
       "32  2008    BA          315                 429      79      213       137\n",
       "38  2008    MA           81                 281      63      109       109\n",
       "46  2008    PR           38                 364     132      137        95\n",
       "48  2008    RN           59                 257      57      107        93\n",
       "43  2008    PB           87                 604     240      274        90\n",
       "45  2008    PI          298                 261      60      111        90\n",
       "34  2008    CE          117                 260      88       92        80"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 0s 10 primeiros estados que mais elegeram mulheres de orientação à Esquerda\n",
    "fem_estados.nlargest(10,[\"ESQUERDA\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": false
       },
       "data": [
        {
         "line": {
          "color": "#17BECF"
         },
         "name": "Feminicídio no Estado de SP",
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "y": [
          788,
          667,
          678,
          640,
          612
         ]
        },
        {
         "line": {
          "color": "#7F7F7F"
         },
         "name": "Candidatas à Esquerda no Estado de SP",
         "type": "scatter",
         "x": [
          2006,
          2008,
          2010,
          2012,
          2014
         ],
         "y": [
          7,
          183,
          9,
          57,
          0
         ]
        }
       ],
       "layout": {
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Comparação do número de Feminicídio versus número de Candidatas à Esquerda no Estado de SP"
        },
        "xaxis": {
         "title": {
          "text": "Período"
         }
        },
        "yaxis": {
         "title": {
          "text": "Número"
         }
        }
       }
      },
      "text/html": [
       "<div>                            <div id=\"68e0f382-0c1f-4293-af58-b35117269a3b\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"68e0f382-0c1f-4293-af58-b35117269a3b\")) {                    Plotly.newPlot(                        \"68e0f382-0c1f-4293-af58-b35117269a3b\",                        [{\"line\": {\"color\": \"#17BECF\"}, \"name\": \"Feminic\\u00eddio no Estado de SP\", \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"y\": [788, 667, 678, 640, 612]}, {\"line\": {\"color\": \"#7F7F7F\"}, \"name\": \"Candidatas \\u00e0 Esquerda no Estado de SP\", \"type\": \"scatter\", \"x\": [2006, 2008, 2010, 2012, 2014], \"y\": [7, 183, 9, 57, 0]}],                        {\"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Compara\\u00e7\\u00e3o do n\\u00famero de Feminic\\u00eddio versus n\\u00famero de Candidatas \\u00e0 Esquerda no Estado de SP\"}, \"xaxis\": {\"title\": {\"text\": \"Per\\u00edodo\"}}, \"yaxis\": {\"title\": {\"text\": \"N\\u00famero\"}}},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('68e0f382-0c1f-4293-af58-b35117269a3b');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Criando Layout:\n",
    "configuracoes_layout = go.Layout(title='Comparação do número de Feminicídio versus número de Candidatas à Esquerda no Estado de SP',\n",
    "                                 yaxis={'title':'Número'},\n",
    "                                 xaxis={'title': 'Período'})\n",
    "\n",
    "fem_sp = go.Scatter(x=fem_sampa['ANO'], \n",
    "                y=fem_sampa['FEMINICIDIO'],                    \n",
    "                        name = 'Feminicídio no Estado de SP',\n",
    "                        line = dict(color = '#17BECF'))\n",
    "\n",
    "cand_sp = go.Scatter(x=fem_sampa['ANO'], \n",
    "                        y=fem_sampa['ESQUERDA'],                    \n",
    "                        name = 'Candidatas à Esquerda no Estado de SP',\n",
    "                        line = dict(color = '#7F7F7F'))\n",
    "\n",
    "data = [fem_sp, cand_sp]\n",
    "\n",
    "# Objeto figura:\n",
    "fig = go.Figure(data=data, layout=configuracoes_layout)\n",
    "\n",
    "# plotando o grafico:\n",
    "py.iplot(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Foi observado que não há nenhuma relação do número de Candidatas Eleitas ou de suas Orientações Ideológicas em relação ao número de feminicídios por Estado.\n",
    "#### Para confirmar essa análise, foi realizado a correlação do dataframe e mais uma vez é possível observar que não há nenhuma correlação entre os dados das Candidatas com o número de Feminicídio."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ANO</th>\n",
       "      <th>FEMINICIDIO</th>\n",
       "      <th>CANDIDATAS_ELEITAS</th>\n",
       "      <th>CENTRO</th>\n",
       "      <th>DIREITA</th>\n",
       "      <th>ESQUERDA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ANO</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.028926</td>\n",
       "      <td>-0.187109</td>\n",
       "      <td>-0.175535</td>\n",
       "      <td>-0.182423</td>\n",
       "      <td>-0.189819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FEMINICIDIO</th>\n",
       "      <td>0.028926</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.066301</td>\n",
       "      <td>-0.067381</td>\n",
       "      <td>-0.065858</td>\n",
       "      <td>-0.059402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CANDIDATAS_ELEITAS</th>\n",
       "      <td>-0.187109</td>\n",
       "      <td>-0.066301</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.968967</td>\n",
       "      <td>0.991501</td>\n",
       "      <td>0.953489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CENTRO</th>\n",
       "      <td>-0.175535</td>\n",
       "      <td>-0.067381</td>\n",
       "      <td>0.968967</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.952081</td>\n",
       "      <td>0.866418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DIREITA</th>\n",
       "      <td>-0.182423</td>\n",
       "      <td>-0.065858</td>\n",
       "      <td>0.991501</td>\n",
       "      <td>0.952081</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.929490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ESQUERDA</th>\n",
       "      <td>-0.189819</td>\n",
       "      <td>-0.059402</td>\n",
       "      <td>0.953489</td>\n",
       "      <td>0.866418</td>\n",
       "      <td>0.929490</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         ANO  FEMINICIDIO  CANDIDATAS_ELEITAS    CENTRO  \\\n",
       "ANO                 1.000000     0.028926           -0.187109 -0.175535   \n",
       "FEMINICIDIO         0.028926     1.000000           -0.066301 -0.067381   \n",
       "CANDIDATAS_ELEITAS -0.187109    -0.066301            1.000000  0.968967   \n",
       "CENTRO             -0.175535    -0.067381            0.968967  1.000000   \n",
       "DIREITA            -0.182423    -0.065858            0.991501  0.952081   \n",
       "ESQUERDA           -0.189819    -0.059402            0.953489  0.866418   \n",
       "\n",
       "                     DIREITA  ESQUERDA  \n",
       "ANO                -0.182423 -0.189819  \n",
       "FEMINICIDIO        -0.065858 -0.059402  \n",
       "CANDIDATAS_ELEITAS  0.991501  0.953489  \n",
       "CENTRO              0.952081  0.866418  \n",
       "DIREITA             1.000000  0.929490  \n",
       "ESQUERDA            0.929490  1.000000  "
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feminicidio.corr()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}