Taxa_Suicidio_Brasil.ipynb

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  "metadata": {
    "colab": {
      "name": "Taxa_Suicidio_Brasil.ipynb",
      "provenance": [],
      "toc_visible": true,
      "authorship_tag": "ABX9TyMHhKb5PQeZQ7GWXukqB+7a",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/josepefg/kaggle/blob/master/Taxa_Suicidio_Brasil.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DFZY-9AEBxTM",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://www.linkedin.com/in/josepegerent\"> <img border=\"0\" alt=\"Linkedin\" src=\"https://img.shields.io/badge/Autor-josepefg-red.svg\"> </a>\n",
        "# **Análise da taxa de suicídios no Brasil**  \n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GTw4ropoCImg",
        "colab_type": "text"
      },
      "source": [
        "# **Obtenção dos dados**  \n",
        "Os dados foram obtidos no site do Kaggle: [Suicide Rates Overview 1985 to 2016\n",
        "](https://www.kaggle.com/russellyates88/suicide-rates-overview-1985-to-2016)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bVnGZRcIBpS0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# importar os pacotes necessários\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\", category=Warning)\n",
        "\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "sns.set()\n",
        "sns.set_style(\"white\")\n",
        "# plt.figure(figsize=(12,8))\n",
        "\n",
        "%matplotlib inline\n",
        "# %matplotlib qt"
      ],
      "execution_count": 76,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8exWSviRCvdr",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# importar o arquivo csv com as taxas de suicidio\n",
        "df = pd.read_csv('https://raw.githubusercontent.com/josepefg/kaggle/master/data/suicide_rate/suicide_rate_overview.csv')"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XRKA5I_dFXo9",
        "colab_type": "text"
      },
      "source": [
        "# **Análise dos dados** \n",
        "Entender a estrutura e a descrição dos dados."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gMWf7dqmF99F",
        "colab_type": "text"
      },
      "source": [
        "**Colunas**  \n",
        "\n",
        "* **country:** País\n",
        "* **year:** Ano de registro\n",
        "* **sex:** Sexo da pessoa\n",
        "* **age group:** Faixa etária\n",
        "* **count of suicides:** Número de suidídios\n",
        "* **population:** População\n",
        "* **suicide rate:** Taxa de suicídio\n",
        "* **country-year:** Chave composta por País+Ano\n",
        "* **HDI for year:** Índice de Desenvolvimento Humano do ano\n",
        "* **gdpforyear:** Produto Interno Bruto do ano\n",
        "* **gdppercapita:** Produto Interno Bruto per capita\n",
        "* **generation:** Geração baseado no nascimento  \n",
        "\n",
        "Antes de iniciar a análise vamos ver algumas linhas do dataset."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "03544Bi8D9hc",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 411
        },
        "outputId": "ab512cbe-6153-4cc9-913f-572f3939f5d3"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>country</th>\n",
              "      <th>year</th>\n",
              "      <th>sex</th>\n",
              "      <th>age</th>\n",
              "      <th>suicides_no</th>\n",
              "      <th>population</th>\n",
              "      <th>suicides/100k pop</th>\n",
              "      <th>country-year</th>\n",
              "      <th>HDI for year</th>\n",
              "      <th>gdp_for_year ($)</th>\n",
              "      <th>gdp_per_capita ($)</th>\n",
              "      <th>generation</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Albania</td>\n",
              "      <td>1987</td>\n",
              "      <td>male</td>\n",
              "      <td>15-24 years</td>\n",
              "      <td>21</td>\n",
              "      <td>312900</td>\n",
              "      <td>6.71</td>\n",
              "      <td>Albania1987</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2,156,624,900</td>\n",
              "      <td>796</td>\n",
              "      <td>Generation X</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Albania</td>\n",
              "      <td>1987</td>\n",
              "      <td>male</td>\n",
              "      <td>35-54 years</td>\n",
              "      <td>16</td>\n",
              "      <td>308000</td>\n",
              "      <td>5.19</td>\n",
              "      <td>Albania1987</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2,156,624,900</td>\n",
              "      <td>796</td>\n",
              "      <td>Silent</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Albania</td>\n",
              "      <td>1987</td>\n",
              "      <td>female</td>\n",
              "      <td>15-24 years</td>\n",
              "      <td>14</td>\n",
              "      <td>289700</td>\n",
              "      <td>4.83</td>\n",
              "      <td>Albania1987</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2,156,624,900</td>\n",
              "      <td>796</td>\n",
              "      <td>Generation X</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Albania</td>\n",
              "      <td>1987</td>\n",
              "      <td>male</td>\n",
              "      <td>75+ years</td>\n",
              "      <td>1</td>\n",
              "      <td>21800</td>\n",
              "      <td>4.59</td>\n",
              "      <td>Albania1987</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2,156,624,900</td>\n",
              "      <td>796</td>\n",
              "      <td>G.I. Generation</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Albania</td>\n",
              "      <td>1987</td>\n",
              "      <td>male</td>\n",
              "      <td>25-34 years</td>\n",
              "      <td>9</td>\n",
              "      <td>274300</td>\n",
              "      <td>3.28</td>\n",
              "      <td>Albania1987</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2,156,624,900</td>\n",
              "      <td>796</td>\n",
              "      <td>Boomers</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   country  year  ... gdp_per_capita ($)       generation\n",
              "0  Albania  1987  ...                796     Generation X\n",
              "1  Albania  1987  ...                796           Silent\n",
              "2  Albania  1987  ...                796     Generation X\n",
              "3  Albania  1987  ...                796  G.I. Generation\n",
              "4  Albania  1987  ...                796          Boomers\n",
              "\n",
              "[5 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Vz3ypPJTIhRL",
        "colab_type": "text"
      },
      "source": [
        "## Quais as dimensões do dataset?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F31nIuOqGnV_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "03047333-d6e1-4b9a-d4b0-b5d162af797d"
      },
      "source": [
        "print(\"Linhas: {} \\nColunas: {} \".format(df.shape[0], df.shape[1]))"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Linhas: 27820 \n",
            "Colunas: 12 \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rAYJz5ekIrI8",
        "colab_type": "text"
      },
      "source": [
        "## Quais os tipos das colunas?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ru7t6pVZIk2v",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 340
        },
        "outputId": "d924574e-e5ae-4cb7-c78d-9692b6760b71"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 27820 entries, 0 to 27819\n",
            "Data columns (total 12 columns):\n",
            " #   Column              Non-Null Count  Dtype  \n",
            "---  ------              --------------  -----  \n",
            " 0   country             27820 non-null  object \n",
            " 1   year                27820 non-null  int64  \n",
            " 2   sex                 27820 non-null  object \n",
            " 3   age                 27820 non-null  object \n",
            " 4   suicides_no         27820 non-null  int64  \n",
            " 5   population          27820 non-null  int64  \n",
            " 6   suicides/100k pop   27820 non-null  float64\n",
            " 7   country-year        27820 non-null  object \n",
            " 8   HDI for year        8364 non-null   float64\n",
            " 9    gdp_for_year ($)   27820 non-null  object \n",
            " 10  gdp_per_capita ($)  27820 non-null  int64  \n",
            " 11  generation          27820 non-null  object \n",
            "dtypes: float64(2), int64(4), object(6)\n",
            "memory usage: 2.5+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e4mffokdI5FR",
        "colab_type": "text"
      },
      "source": [
        "## Qual a porcentagem de valores ausentes de cada coluna?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jv6yMSA3ItHX",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "outputId": "1f81057f-397d-4db5-f30b-365416ded24e"
      },
      "source": [
        "(df.isnull().sum() / df.shape[0]).sort_values(ascending=False).map('{:.2%}'.format)"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "HDI for year          69.94%\n",
              "generation             0.00%\n",
              "gdp_per_capita ($)     0.00%\n",
              " gdp_for_year ($)      0.00%\n",
              "country-year           0.00%\n",
              "suicides/100k pop      0.00%\n",
              "population             0.00%\n",
              "suicides_no            0.00%\n",
              "age                    0.00%\n",
              "sex                    0.00%\n",
              "year                   0.00%\n",
              "country                0.00%\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9uBP94CjI_4L",
        "colab_type": "text"
      },
      "source": [
        "### Qual a porcentagem de valores ausentes para o Brasil?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ccAlXWaRI8Ns",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "outputId": "18cbf52a-0354-456a-cc4b-2f987023f147"
      },
      "source": [
        "dfb = df[df.country == 'Brazil']\n",
        "(dfb.isnull().sum() / dfb.shape[0]).sort_values(ascending=False).map('{:.2%}'.format)"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "HDI for year          67.74%\n",
              "generation             0.00%\n",
              "gdp_per_capita ($)     0.00%\n",
              " gdp_for_year ($)      0.00%\n",
              "country-year           0.00%\n",
              "suicides/100k pop      0.00%\n",
              "population             0.00%\n",
              "suicides_no            0.00%\n",
              "age                    0.00%\n",
              "sex                    0.00%\n",
              "year                   0.00%\n",
              "country                0.00%\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W6Z9R3csfcQs",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# dfb"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dJc8S3GOJSYC",
        "colab_type": "text"
      },
      "source": [
        "Devido ao alto valor de falta de dados de HDI não iremos utilizar essa coluna em nossa análise."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_VI_eD0zJlBI",
        "colab_type": "text"
      },
      "source": [
        "## Como estão distribuídas as variáveis?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4FS6rEaqJPZZ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        },
        "outputId": "ab68a5f2-14f6-41a4-daae-ec1129002cfa"
      },
      "source": [
        "# plotar o histograma das variáveis numéricas\n",
        "df.hist(bins=15, figsize=(12,6), layout=(2,3))\n",
        "plt.tight_layout()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x432 with 6 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_RU_FPmAMu0c",
        "colab_type": "text"
      },
      "source": [
        "## Resumo estatístico"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jZn-d4e7LsuP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "outputId": "5784e86e-37c4-48ff-de78-072f86865bfc"
      },
      "source": [
        "# resumo estatístico dos dados numéricos\n",
        "df.describe()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>year</th>\n",
              "      <th>suicides_no</th>\n",
              "      <th>population</th>\n",
              "      <th>suicides/100k pop</th>\n",
              "      <th>HDI for year</th>\n",
              "      <th>gdp_per_capita ($)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>27820.000000</td>\n",
              "      <td>27820.000000</td>\n",
              "      <td>2.782000e+04</td>\n",
              "      <td>27820.000000</td>\n",
              "      <td>8364.000000</td>\n",
              "      <td>27820.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>2001.258375</td>\n",
              "      <td>242.574407</td>\n",
              "      <td>1.844794e+06</td>\n",
              "      <td>12.816097</td>\n",
              "      <td>0.776601</td>\n",
              "      <td>16866.464414</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>8.469055</td>\n",
              "      <td>902.047917</td>\n",
              "      <td>3.911779e+06</td>\n",
              "      <td>18.961511</td>\n",
              "      <td>0.093367</td>\n",
              "      <td>18887.576472</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1985.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.780000e+02</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.483000</td>\n",
              "      <td>251.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>1995.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>9.749850e+04</td>\n",
              "      <td>0.920000</td>\n",
              "      <td>0.713000</td>\n",
              "      <td>3447.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2002.000000</td>\n",
              "      <td>25.000000</td>\n",
              "      <td>4.301500e+05</td>\n",
              "      <td>5.990000</td>\n",
              "      <td>0.779000</td>\n",
              "      <td>9372.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2008.000000</td>\n",
              "      <td>131.000000</td>\n",
              "      <td>1.486143e+06</td>\n",
              "      <td>16.620000</td>\n",
              "      <td>0.855000</td>\n",
              "      <td>24874.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>2016.000000</td>\n",
              "      <td>22338.000000</td>\n",
              "      <td>4.380521e+07</td>\n",
              "      <td>224.970000</td>\n",
              "      <td>0.944000</td>\n",
              "      <td>126352.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               year   suicides_no  ...  HDI for year  gdp_per_capita ($)\n",
              "count  27820.000000  27820.000000  ...   8364.000000        27820.000000\n",
              "mean    2001.258375    242.574407  ...      0.776601        16866.464414\n",
              "std        8.469055    902.047917  ...      0.093367        18887.576472\n",
              "min     1985.000000      0.000000  ...      0.483000          251.000000\n",
              "25%     1995.000000      3.000000  ...      0.713000         3447.000000\n",
              "50%     2002.000000     25.000000  ...      0.779000         9372.000000\n",
              "75%     2008.000000    131.000000  ...      0.855000        24874.000000\n",
              "max     2016.000000  22338.000000  ...      0.944000       126352.000000\n",
              "\n",
              "[8 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PpbmX6htMyA-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 173
        },
        "outputId": "8907e5dd-99c9-4443-9db0-3c0ad642f542"
      },
      "source": [
        "# resumo estatístico dos dados categóricos\n",
        "df.describe(include=['O'])"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>country</th>\n",
              "      <th>sex</th>\n",
              "      <th>age</th>\n",
              "      <th>country-year</th>\n",
              "      <th>gdp_for_year ($)</th>\n",
              "      <th>generation</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>27820</td>\n",
              "      <td>27820</td>\n",
              "      <td>27820</td>\n",
              "      <td>27820</td>\n",
              "      <td>27820</td>\n",
              "      <td>27820</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>unique</th>\n",
              "      <td>101</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>2321</td>\n",
              "      <td>2321</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>top</th>\n",
              "      <td>Austria</td>\n",
              "      <td>female</td>\n",
              "      <td>55-74 years</td>\n",
              "      <td>Canada1993</td>\n",
              "      <td>22,235,929,043</td>\n",
              "      <td>Generation X</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>freq</th>\n",
              "      <td>382</td>\n",
              "      <td>13910</td>\n",
              "      <td>4642</td>\n",
              "      <td>12</td>\n",
              "      <td>12</td>\n",
              "      <td>6408</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        country     sex  ...  gdp_for_year ($)     generation\n",
              "count     27820   27820  ...              27820         27820\n",
              "unique      101       2  ...               2321             6\n",
              "top     Austria  female  ...     22,235,929,043  Generation X\n",
              "freq        382   13910  ...                 12          6408\n",
              "\n",
              "[4 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IcObA7JoN3Fn",
        "colab_type": "text"
      },
      "source": [
        "## Taxas de suicídio por país "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2ptvdS3WNlEi",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "anos = df.year.unique()\n",
        "taxa_paises = df.groupby(['country', 'year']).agg({'suicides/100k pop': ['mean']}).sort_values(('suicides/100k pop', 'mean'), ascending=False).reset_index()\n",
        "taxa_paises.columns = taxa_paises.columns.droplevel(0)\n",
        "taxa_paises.columns = ['country', 'year', 'mean']\n",
        "# print(taxa_paises.head())\n",
        "\n",
        "taxa_total = df.groupby(['country']).agg({'suicides/100k pop': ['mean']}).sort_values(('suicides/100k pop', 'mean'), ascending=False).reset_index()\n",
        "taxa_total.columns = taxa_total.columns.droplevel(0)\n",
        "taxa_total.columns = ['country', 'mean']\n",
        "# print(taxa_total.head())\n",
        "\n",
        "taxa_mundial = df.groupby(['year']).agg({'suicides/100k pop': ['mean']}).sort_values(('year'), ascending=False).reset_index()\n",
        "taxa_mundial.columns = taxa_mundial.columns.droplevel(0)\n",
        "taxa_mundial.columns = ['year', 'mean']\n",
        "taxa_mundial['country'] = 'Mundial'\n",
        "# print(taxa_mundial.tail(20))\n",
        "\n",
        "# df_clean.groupby(['neighbourhood']).agg({'price': ['mean', 'count']}).sort_values(('price', 'mean'), ascending=False)"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LAfLKSY9V-CN",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "taxa_brasil = taxa_paises[taxa_paises['country'] == 'Brazil']"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JdKaRvefOLkr",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "outputId": "f3db84c3-f57e-4c01-b0b1-6cfacbdd6761"
      },
      "source": [
        "# gráfico comparativo entre a taxa do Brasil e do Mundo\n",
        "plt.figure(figsize=(12,8))\n",
        "\n",
        "ax = sns.lineplot(x='year', y='mean', label='Brasil', color='green', linewidth=3, data=taxa_brasil, marker='o')\n",
        "ax.set(xticks=anos)\n",
        "ax = sns.lineplot(x='year', y='mean', data=taxa_mundial[taxa_mundial.year < 2016], color='red', label='Mundial', linewidth=3, marker='o')\n",
        "ax.set_xticklabels(list(map(int, ax.get_xticks())), rotation=45, horizontalalignment='right')\n",
        "\n",
        "sns.despine(top=True, right=True, left=True, bottom=True)\n",
        "\n",
        "plt.legend(title=\"Taxa de suicídio\")\n",
        "plt.show()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ylz0E2gMQeUZ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "taxa_brasil_idade = dfb.groupby(['country', 'year', 'age']).agg({'suicides/100k pop': ['mean']}).sort_values(('suicides/100k pop', 'mean'), ascending=False).reset_index()\n",
        "taxa_brasil_idade.columns = taxa_brasil_idade.columns.droplevel(0)\n",
        "taxa_brasil_idade.columns = ['country', 'year', 'age', 'mean']\n",
        "# taxa_brasil_idade.sort_values(['year', 'age'])"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wRP5-oOTa3kb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 521
        },
        "outputId": "31148770-7b40-4d7f-f1ee-8d94110a1d08"
      },
      "source": [
        "# gráfico comparativo entre faixas de idade\n",
        "plt.figure(figsize=(12,8))\n",
        "\n",
        "ax = sns.lineplot(x='year', y='mean', hue='age', linewidth=3, data=taxa_brasil_idade, marker='o')\n",
        "ax.set(xticks=anos)\n",
        "ax.set_xticklabels(list(map(int, ax.get_xticks())), rotation=45, horizontalalignment='right')\n",
        "\n",
        "sns.despine(top=True, right=True, left=True, bottom=True)\n",
        "\n",
        "plt.legend(title='Taxa de suicídio', bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bphqstgebjkf",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "taxa_brasil_sexo = dfb.groupby(['country', 'year', 'sex']).agg({'suicides/100k pop': ['mean']}).sort_values(('suicides/100k pop', 'mean'), ascending=False).reset_index()\n",
        "taxa_brasil_sexo.columns = taxa_brasil_sexo.columns.droplevel(0)\n",
        "taxa_brasil_sexo.columns = ['country', 'year', 'sex', 'mean']\n",
        "# taxa_brasil_sexo.sort_values(['year', 'sex'])"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ghAmFDkteSAv",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "outputId": "756e7d0d-6ac3-4906-d80f-07deb55442c0"
      },
      "source": [
        "# gráfico comparativo entre faixas de idade\n",
        "plt.figure(figsize=(12,8))\n",
        "\n",
        "ax = sns.lineplot(x='year', y='mean', hue='sex', linewidth=3, data=taxa_brasil_sexo, marker='o')\n",
        "ax.set(xticks=anos)\n",
        "ax.set_xticklabels(list(map(int, ax.get_xticks())), rotation=45, horizontalalignment='right')\n",
        "\n",
        "sns.despine(top=True, right=True, left=True, bottom=True)\n",
        "\n",
        "plt.legend(title='Taxa de suicídio', bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kqPHWyMZeV62",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "taxa_brasil_gdp_capita = dfb.groupby(['country', 'year', 'gdp_per_capita ($)']).agg({'suicides/100k pop': ['mean']}).sort_values(('suicides/100k pop', 'mean'), ascending=False).reset_index()\n",
        "taxa_brasil_gdp_capita.columns = taxa_brasil_gdp_capita.columns.droplevel(0)\n",
        "taxa_brasil_gdp_capita.columns = ['country', 'year', 'gdp_per_capita ($)', 'mean']\n",
        "# taxa_brasil_gdp_capita.sort_values(['year', 'gdp_per_capita ($)'])"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lvVRIqU_fOFa",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 502
        },
        "outputId": "646a3968-8eed-4b3a-e063-c34adcd86fe2"
      },
      "source": [
        "# gráfico comparativo entre pib per capita\n",
        "plt.figure(figsize=(12,8))\n",
        "\n",
        "ax = sns.lineplot(x='gdp_per_capita ($)', y='mean', linewidth=3, data=taxa_brasil_gdp_capita, marker='o')\n",
        "# ax.set(xticks=taxa_brasil_gdp_capita['gdp_per_capita ($)'])\n",
        "# ax.set_xticklabels(list(map(int, ax.get_xticks())), rotation=45, horizontalalignment='right')\n",
        "\n",
        "sns.despine(top=True, right=True, left=True, bottom=True)\n",
        "\n",
        "# plt.legend(title='Taxa de suicídio', bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Aj1l6ITygTrv",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 502
        },
        "outputId": "bb809601-2bee-46cd-cd1d-6ca51a042023"
      },
      "source": [
        "# gráfico comparativo entre pib per capita\n",
        "plt.figure(figsize=(12,8))\n",
        "\n",
        "ax = sns.lineplot(x='year', y='gdp_per_capita ($)', linewidth=3, data=taxa_brasil_gdp_capita, marker='o')\n",
        "# ax.set(xticks=taxa_brasil_gdp_capita['gdp_per_capita ($)'])\n",
        "# ax.set_xticklabels(list(map(int, ax.get_xticks())), rotation=45, horizontalalignment='right')\n",
        "\n",
        "sns.despine(top=True, right=True, left=True, bottom=True)\n",
        "\n",
        "# plt.legend(title='Taxa de suicídio', bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ptQ2dLlYSfYR0AACAGMpI96q0OGfEc6XFOcpIJ4ZNVsWsglDLUENrt3r7h1yuKHqmrCfdGHOnpA9Kqpa0xFr7ljFmhqT7JZ0haUDSHkmfsdY2B9+zWtJPJeVIqpH0cWtt02TuAQAATKWivCx94WPL9e8PbAn1pN9+0yoV5WW5XVrCy8xI05ySfB08ElhFr23s0OIkOSBqKr+Fe0TSWkm1Yc85kr5rrTXW2iWS9kn6jiQZY7ySfinpb6y1iyRtmOw9AACAqebxSA+ut7r52iX69ufX6JufW6OqskI2jUbJiEONkujk0SlbSbfWvihJxpjw545Kei7sZa9I+lzw8XJJfcPvk/QTBVbFb5rEPQAAgCnV0NqtrbubtXV3s/JyMvTAN64hoEdR1exCadthSVJtEp08GjfNUMEV8M9J+kPwqUqFrbpba1skeY0x0ydxDwAAYErZ2rbQY1NVTECPsuqwCS8HCOkx8R+SuiT90O1CAAAAoiU8pC+uLHaxkuRUHd7u0tAhx3FcrCZ64iKkBzeVLpR0nbV2eB5RnaSqsNfMlOQPtshM9B4AAMCU2lV7PIKYJNnUGE9KpuUoLzvQwd3dO6iWY30uVxQdrod0Y8y3FOgjf5+1Nnyq/xZJOcaYi4PXn5X00CTvAQAATJm+gSEdCNvMuKiKlfRo83g8qi4vCl0ny6FGUxbSjTF3G2MOSZor6U/GmB3GmLMlfVVSuaSXjTHbjDG/k6TgivoNkv7TGLNH0qWS/mEy9wAAAKbSvkPt8vsD7RcVs/KVn5PhckXJqaqsIPS4Jkn60qdyusstkm4Z5daYuyestS9LWhLNewAAAFNlV83xVpdkmd8dj0aupCdHSHe93QUAACBZ2bqRk10QG/NO2DyaDAjpAAAAMeA4zoiVdDaNxk5lWLvLoaYuDQ75XKwmOgjpAAAAMdDc1qu2zsBMjJysdFXMKjjNOzBRudkZmjU9V5Lk9zs61NTlckWTR0gHAACIgfD56IsqpymNQ4xiKnxeevhEnURFSAcAAIgB5qNPrfCTR5OhL52QDgAAEAMjThpl02jMzZsdNuGlPvFnpRPSAQAAomxwyKd9h48HxUWVhPRYC19Jr21kJR0AAAAn2HeoXUM+vySpfGaeivKzXK4o+ZXNyFNmRpok6WhHv9q7+k/zjvhGSAcAAIiyXbXMR59qaV7PiFGMid6XTkgHAACIMsumUVck06FGhHQAAIAo28WmUVeEj2GsSfAxjIR0AACAKGpt71XLsV5JUmZG2ojgiNiqCg/pCb55lJAOAAAQReGr6Asrpiktjbg1VcK/Iapr6JDP77hYzeTwtwYAACCKmI/unqL8LE0vDEzSGRjyq6Gly+WKJo6QDgAAEEVsGnVXdfihRgm8eZSQDgAAECWDQ37tPXgsdM1K+tSrTpIJL4R0AACAKKlpaNfAUOAQo9LpuSouzHa5otRTlSQTXgjpAAAAUTKiH72SVXQ3zCtnJR0AAABhdtWEnTRaTUh3w9zSfKV5PZKkI0d71NM36HJFE0NIBwAAiBJbd3zT6GI2jboiIz1Nc0vzQ9d1jZ0uVjNxhHQAAIAoONbZr8bWHklSRrpX88qLTvMOxEp4X/qBBG15IaQDAABEQfjoxQVzpykjnZjllhETXurbXaxk4vjbAwAAEAW2LqwfndGLrgr/KUaibh4lpAMAAERB+KZR+tHdFb6SXtvQIcdxXKxmYgjpAAAAk+Tz+bXnICvp8WJGUbbyczIkSd19Q2o+1utyReNHSAcAAJikuiOd6hvwSQoExJnTclyuKLV5PJ6RhxolYMsLIR0AAGCSdtUwejHezEvwk0cJ6QAAAJO0q5ZWl3hTneAnjxLSAQAAJil8/CIhPT5U0+4CAACQujq6B3S4uVuSlJ7m0Rlzp7lcESSpsux4SD/c3KWBQZ+L1YwfIR0AAGASdofNR59XXqSsjDQXq8GwnKx0zZ6RJ0ny+x0dPNLpckXjQ0gHAACYhF1hrS6Lq9k0Gk8SuS+dkA4AADAJNnzTaCX96PEkkfvSCekAAAAT5Pc7I9pd2DQaXwjpAAAAKehgU6d6+oYkSdMKsjRreq7LFSEcIR0AACAFndjq4vF4XKwGJ5o1I09ZmYGNvMc6+9XW2edyRZEjpAMAAEyQ5RCjuJbm9aiqrCB0XZtAq+mEdAAAgAliskv8q55dFHpc05A4YxgJ6QAAABPQ3TsYmr3t9Xq0kEOM4lLV7OMr6TUN7S5WMj6EdAAAgAnYXdcmxwk8rp5dqOysdHcLwqjmjVhJp90FAAAgqVlGLyaEqrAJL3WNnfL5/C5WEzlCOgAAwASEbxpdTEiPW4V5mZpRlC1JGhzyq76l2+WKIkNIBwAAGCfHcWTDN41WsWk0niXivHRCOgAAwDjVt3Srs2dQklSQm6nZM/NcrginQkgHAABIAeGr6KaKQ4zi3YiQXk9IBwAASEq7auhHTyTV5eETXhJjDCMhHQAAYJw4aTSxzCnJV3pa4KcdTW296u4ddLmi0yOkAwAAjENv/1BoNdbjkRZVEtLjXUa6V3NLjx9qVNsY/y0vhHQAAIBx2HvwmPzBQ4wqZxUoNzvD3YIQkUTbPEpIBwAAGIddIzaNMnoxUSTa5lFCOgAAwDhwiFFiqi5nJR0AACApBQ4xYtNoIjqx3cVxHBerOT1COgAAQISOHO3Rsa5+SVJedvqIzYiIb9MLs1WQG9g/0Ns/pKa2XpcrOjVCOgAAQIR2ha2iL6osltfLIUaJwuPxqHp22Lz0+viel05IBwAAiJBl02hCG9GXHudjGNOn4jcxxtwp6YOSqiUtsda+FXx+kaT7JM2Q1CrpE9baPbG6BwAAMBnhK+mLq+lHTzSJNOFlqlbSH5G0VlLtCc//RNKPrLWLJP1I0k9jfA8AAGBC+gd9OnD4eIsEhxglnkSalT4lK+nW2hclyRgTes4YUyrpfElXBZ/6taQfGmNKJHmifc9a2xybPx0AAEgF+w4dky94itGcknwV5Ga6XBHGq7KsQB6P5DhSfXOX+gd9yspIc7usUbnZk14h6bC11idJwY/1wedjcQ8AAGDCdtXQ6pLosjPTNXtGniTJ70gHGztdrmhsbBwFAACIgK1j02gySJRDjdwM6QclzTHGpElS8GN58PlY3AMAAJgwThpNDiPGMBLST2atbZK0TdJHg099VNJWa21zLO7F/k8EAACSVXNbr1rb+yRJ2ZlpqiwrPM07EK+qZx8/gKqmIX5npU/VCMa7JX1AUpmkPxljWq21Z0v6rKT7jDH/LKlN0ifC3haLewAAAOMW3uqyqLJYaRxilLASZSXd4ziO2zXEI74oAAAg5P/94S098vw+SdKHrlioT7zrLJcrwkT5/Y6u+8fH1DfgkyT94utXq7gg261yxvxuj42jAAAAp7Gr5vhK+mI2jSY0r9ejqgQ41IiQDgAAcAqDQz7t4xCjpJIIhxqdsifdGJMu6S8kvVvSeZKmSTom6Q1JT0h6xFo7FOsiAQAA3LL/cLsGh/ySpNkz8jStIMvlijBZiRDSx1xJN8Z8VtJ+SZ+RtE/SNxXYlPnN4PVfS9offB0AAEBSCh+9aBi9mBSqE6Dd5VQr6QskrbTWNo5y73eSvmWMmS3p72NSGQAAQBxgPnryCQ/pdUc65fP5lZYWX13gY4Z0a+0XT/dma22DpNO+DgAAIJb8fkft3f0aHPIrI92rorwseaM0JnFXLSeNJpv83EzNnJajlmO9GvL5dbi5K+5m3497TroxxitpqaRmay0neQIAAFf5/Y5qGzt0xz2b1NTWq9LiHN1+0ypVlRVOOqgf7ehTU1uvJCkzI23EkfJIbNWzC9VyLPC/bU1DR9yF9NOu6xtj/skYszb42CvpOUnPSLLGmE/HtjwAAIBTa+/uDwV0SWpq69Ud92xSe3f/pD93eKvLwoppSo+zlghMXLxvHo3kb9pfS9oRfLxOgQkvpZJWSLotRnUBAABEZHDIHwrow5raetXc1quttkmTObjRhre6MHoxqcR7SB+z3cUY8/Pgw1mSvmeM8SjQ5uJI+okCJyTNMMbcI0nW2ptiXCsAAMBJBgf9Ki3OGRHUS4tz1Nrep2/du1kVs/L1novn6/LlFcrJGl+n7y4muySt6vJCmcpiffAdC1WUn6m2zr6o7mWYLM/pvrs0xtRIeqe1drcx5nVJX7DWPhe8V2etrYx1kS6Y+LfcAABgSt3/xE6du6BEdz+4NdSTfst1y3T/42/L1h0P2XnZ6bpqVZXevWaeymbknfbzDvn8uu4fH9fAYOD4+Hv/+Z2aUZQTsz8HptbgkE87Dxwd8fcmWnsZxmHM3yiSbyd/KullY0yLpE5Jz0uSMWalpL1RKQ8AAGAC2rv69fCz+/TG7hbdfO0SVZUVKCc7XQODPi2qKlbdkU719gfOXezuG9Ijz+/T7zfs04ozy/TeS+bpvIUl8nhGz0k1DR2hgF5SnENATzJdvYOhgC4d38tw561rVVyQ7XJ1EYR0a+23jTHPKtD2st5aO7zK7JP0hVgWBwAAcCrPvHZQQz6/bF2b/veZ3fq3Wy8N3fv0+5bo4+sW68+vHtSjL+5XfUu3JMlxpM07G7V5Z6MqZhXovRfP0+XLK5R9QivMyPnojF5MNmPtZRg+XdZtETVmWWtfGeW5LdEvBwAAIDKO4+ipV2pC11evrj7pNbnZGXrvJfP17jXz9Lpt0qMv7teWXU2h+wePdOrHv31T9z2286RWmJHz0elHTzYZ6d5R9zJkpMfHBJ8xe9KNMbdI+qm1dsz5RcaYLEmfsdbeHaP63EJPOgAAcW77vhbd9uOXJEk5Wen6xdeuPmk1fDSHm7v06Iv79edX69Tb7xtxz+ORVp5Vpg9dsVCdPYPKzkxTZ8+gymbmat7sopj8OeCOWM7XH4cJ9aSXSdprjHlcgT50q0BPeoGkRZIuk3SNpF9ErUwAAIAIPbmxJvT4suVzIwrokjSnJF+fef+5uuGaM/WnV+v06IsH1BDWCnOss199Az7952/fGBHe/H4nbiZ/YPK8Xo+qygp1561rY3JS7WSdcrqLMWampBsVCONLFJiR3ibpTUmPS/qFtbY19mVOOVbSAQCIY+1d/brxG09ryBfoH77rC5dp/pyJrXT7/Y5et03644v79fquJt1240r97PfbT2qDiJcNhUgqE5vuYq1tkXRn8BcAAEBceHbLwVBAX1Q5bcIBXQqsqF5w5ixdcOYsHWrqVP+AL643FCI1xEdnPAAAQIQcx9GTG2tD16NtGJ2ouaUFml6UrdLikeMW42lDIVIDf9sAAEBCeWt/qw43d0kKbBi9ZOmcqH7+orws3X7TqlBQH+5JL8rLiurvA5zK+M7GBQAAcNlTYavoly2fq5wIN4xGKt43FCI1ENIBAEDCaO/q10tv1oeu10Wx1SWc1+thkyhcNe6QbozxKGwnqrWWXRQAAGBKhG8YXVgxuQ2jQDyLKKQbY8ol/VDSpQqMYQyXFu2iAAAATnTihtF1F1a7VwwQY5FuHP2ppEFJV0jqknS+pD9I+myM6gIAABgh1htGgXgSaUi/SNJN1tptkhxr7RuS/krS38esMgAAgDAjNoyeH/0No0A8iTSk+yQNBR8fM8aUSOqWxLewAAAg5jq6B0ZuGKXVBUku0pC+SdK7go+fkvSgpIclvRaLogAAAMI981odG0aRUiL9OdENOh7o/06BNpcCSd+PRVEAAADDYnnCKBCvIg3pV1lrH5Ika22vpDskyRjzl5L+N0a1AQAAaMcJG0bXLqPbFskv0naX/zfG8/8VrUIAAABG8yQbRpGCTvm33BgzP/jQa4yZp7BDjCTNl9QXq8IAAADYMIpUdbpvRfdKchQI5/tOuNco6esxqAkAAEASG0aRuk4Z0q21Xkkyxjxvrb10akoCAABgwyhSW0Q96QR0AAAw1dgwilQ25kq6MeZJa+264OMXFGh7OYm1dm2MagMAACmMDaNIZaf62/6LsMc/i3UhAAAAw07cMHr16ioXqwGm3pgh3Vr7QNjj+6amHAAAAOmZ1w6O2DB6xtxpLlcETK2If25kjLlJ0kcllUuql/QbSfdYa0dtgwEAAJiIwIbRmtA1G0aRiiIK6caY70q6VtIPJNVKqpT0RUlG0pdjVvjBwOgAACAASURBVB0AAEg5bBgFIl9Jv1HS+dbaQ8NPGGMek/S6COkAACCKnnqFDaNARCMYJXUGf534XEd0ywEAAKmMDaNAQKTfmv5A0sPGmO9IOiSpQtKXJH3fGDN/+EXW2v3RLxEAAKSKZ147qMGhwIbRBWwYRQqLNKTfFfx4+QnPXyHp7uBjR1JaNIoCAACpx3EcPfVKTeh6HRtGkcIiCunW2kjbYgAAACZkx/5WHWoa3jCaxoZRpDTCNwAAiAvhG0YvPb+CDaNIaZGOYEyX9HlJl0qaKckzfM9auzY2pQEAgFRx4obRdWwYRYqLdCX9+5I+I2mDpOWSfiupVNIzMaoLAACkEDaMAiNFGtI/IOkaa+1dkoaCH9+nkzeSAgAAjMvJG0ZZRQciDem5kg4GH/caY3KttbskLYtNWQAAIFXsPHD0hA2jc12uCHBfpDsy3pa0QtJmSa9J+roxpkPS4VgVBgAAUsOTG2tCj9kwCgRE+q/gVkm+4OMvSPpPSQWSPh2LogAAQGrghFFgdJHOSX817PEeSVfGrCIAAJAynt0ycsPoAjaMApIi7Ek3xvyDMWbFCc+tNMZ8OTZlAQCAZOc4zohWFzaMAsdFunH0Vkk7T3hup6S/i245AAAgVZy4YfSSpZwwCgyLtCc9U9LgCc8NSMqORhHGmPdI+r8KHJLkkfQv1tqHjTGLJN0naYakVkmfCLbbaKL3AABAfHgybOzipedXKDc7w71igDgT6Ur6FgVOHA33WUmvT7YAY4xH0v2SbrDWLpV0g6T7jDFeST+R9CNr7SJJP5L007C3TvQeAABwWWf3gNacW65vf36Nbrtxpd57yTy3SwLiSqQr6f+fpPXGmBsk7ZN0hqQySVdFqQ6/pKLg42mSGiTNlHR+2O/xa0k/NMaUKLDaPu571trmKNULAAAmyO93VN/Spf9+ZLua2npVWpyj229aJb/fkdfrcbs8IC5EtJJurd0haZGk70l6NfjRWGtP7FMfN2utI+nDkn5vjKmV9IikT0iqkHTYWusLvs4nqT74/ETvAQAAl7V39eu797+mprZeSVJTW6/uuGeT2rv7Xa4MiB8RnxZgre2S9Jux7htjOqy1heMtwBiTLumrkq611r5kjFkj6X8UaHsBAABJpqdvMBTQhzW19YZGMQKIvCc9EhP9+dRSSeXW2pckKfixW1KfpDnGmDRJCn4sl3Qw+Gsi9wAAgMuOdQ2otDhnxHOlxTnKSI9mLAESWzT/NTgTfN8hSXONMUaSjDFnSpolaY+kbZI+GnzdRyVttdY2W2ubJnJvgvUBAIAoae/q132P7dQt1y0LBfXhnvSivCyXqwPih8dxJpqtR5pou0vwvddL+gcFNpBK0testY8YYxYrMEqxWFKbAqMUbfA9E7oXoeh8UQAAwAgPP7tHP390p0xlsa6/ZrHmlOQrI92rorwsNo0iFY35lz4uQnocIqQDABBlfr+jz/7rn9XQ0i1JuvW6pbpyJaeMIqWNGdLjoScdAACkgDf3NocCel52ui7mhFFgTKed7hLceLlb0lnW2lPNRromalUBAICk8+TG2tDjyy+oUHZmxEPmgJRz2pX04Jxxn6Ts07zuxWgVBQAAkktbR59eeashdL3uwmr3igESQKTfwv5A0v8YY76lwDSWUM+2tXZ/LAoDAADJY/3mOvn8gfhw1rzpqipLlm1sQGxEGtJ/GPx41QnPO5LSolcOAABINj6/o6deqQldX8MqOnBaEYV0ay2nCwAAgAnZaptCJ4wW5GbqonPLXa4IiH/jCt/GmApjzOpYFQMAAJLPkxtrQo+vWFGhzAx+CA+cTkQr6caYSkm/lrRUgRaXfGPMX0paZ629OYb1AQCABNZyrFev7mwMXbNhFIhMpCvpP5X0mKQCSYPB59br5B51AACAkKc31Sq4X1TnLpipOSX57hYEJIhIQ/pKSd+x1voVnOxirW2XVBSrwgAAQGLz+fx6etPx2eisogORizSkH5G0IPwJY8xZkuqiXhEAAEgKr759RK3tfZKkaflZWn3ObJcrAhJHpCH9TkmPGmM+JSndGPNRSQ9K+teYVQYAABJa+IbRK1dWKiOdYXFApCL612KtvUfSlyR9SNJBSZ+U9E/W2l/FsDYAAJCgjhzt0eu2SZLk8UhXr65yuSIgsUR6mJGstb+X9PsY1gIAAJLEU6/UyAluGF22qFRlM/LcLQhIMBGHdGPMTZI+KqlcUr2k30i6x1rrxKg2AACQgAaH/Fq/+fi2NTaMAuMX6Zz070q6VtIPJNVKqpL0RUlG0pdjVh0AAEg4m3Y06FhnvyRpemG2Vp41y+WKgMQT6Ur6jZLOt9YeGn7CGPOopNdFSAcAAGHCN4y+c1WV0tLYMAqMV6T/ajqDv058riO65QAAgERW39ylN/a0SJK8nkBIBzB+ka6k/0DSw8aY70g6JKlCgWkv3zfGzB9+kbV2f/RLBAAAieLJV44fXnTBmWUqKc5xsRogcUUa0u8Kfrz8hOevkHR38LEjKS0aRQEAgMQzMOjTn8I2jF5zUbV7xQAJLqKQbq2lmQwAAJzSy9sb1NkzIEkqKc7RMlPqckVA4opa+DbG0J8OAEAKC98wevXqKqV5Pa7VAiS6aK6Q8y8RAIAUVdfYoR37WyVJaV6PrlrJhlFgMqIZ0jnUCACAFBW+YXTVOWWaXpjtYjVA4qPXHAAATErfwJCeee1g6Hrd6mr3igGSBCEdAABMyovb6tXdOyhJmj0jT+ctLHG5IiDx0ZMOAAAm5clXakKPr15dJS8bRoFJi3ROuiTJGDNHUrmkemvt4RNuXxO1qgAAQEI4UN8uW9smSUpP8+jKlZUuVwQkh4hCujGmUtKvJF0o6aik6caYjZI+bq2tlSRr7YsxqxIAAMSlJzbWhB5ftKRcRflZrtUCJJNI213uk7RFUpG1tlTSNEmvBZ8HAAApqLd/SM9tORS6XscJo0DURBrSl0v6krW2W5KstV2SvhJ8HgAApKANWw+pt39IkjS3NF/nzJ/hckVA8og0pL8iaeUJz10gaWN0ywEAAIkivNVl3YXV8njYMApES6QbR/dJetwY85ikg5IqJL1L0gPGmG8Mv8ha+8/RLxEAAMSbPQfbtO9QuyQpI92rd1xQ4XJFQHKJNKRnS3o4+LhUUr+k30nKUSCwS5w4CgBAynji5ZrQ40uWzlFBbqZ7xQBJKKKQbq39VKwLAQAAiaG7d1Abth2fxMwJo0D0jRnSjTHzI/kE1tr90SsHAADEu+e2HFT/gE+SVD27UIuri12uCEg+p1pJ36tAC4tHI1tZTrxOi0FdAAAgDjmOw4ZRYAqMGdKttaHJL8aYT0m6UtLXJdVKqpL0z5L+HOP6AABAHNlV06baxk5JUlZmmi47f67LFQHJKdKNo/9X0kJrbW/weo8x5jOSdku6NxaFAQCA+PPExgOhx5cum6u8nAwXqwGSV6Rz0r2Sqk94rkq0ugAAkDI6ewb04hv1oet1F1a5WA2Q3CJdSf++pGeMMT/X8TnpNwafBwAAKeDPrx7U4JBfkrRgbpEWVrBhFIiViFbSrbXfk/QpSbMk/YWkMkk3WWu/G8PaAABAnHAcR09urAldr7uw2q1SgJTgcRzOIBoFXxQAAIL8fkcNLd1q6+xTZ8+g/vjCPv3TX61WTlakP5AHMIYxRyNF9K/LGPONMW71Szok6Ulr7ZEJFAYAAOKY3++otrFDd9yzSU1tvSotztEXr1+urAy2pQGxFOnG0UWSviLpckkLgh+/ImmZpM9J2m+MWReTCgEAgGvau/tDAV2Smtp6deevtqi9u9/lyoDkNp7pLh+x1l5irf2YtfYSSR+W5LPWrpb0eUnfiVWRAADAHYND/lBAH9bU1hvaQAogNiIN6VdL+sMJzz0q6Zrg419Kmh+togAAQHxwHEelxTkjnistzlFGeqQRAsBERPovbJ8CbS3hPht8XpJmSuqJVlEAACA+PLWxRrdctywU1EuLc3T7TatUlJflbmFAkot0W/bNkh42xnxF0mFJcyT5JH0geN9I+qfolwcAANyyu65NDz2zV2/ubdXN1y5RZVmBcrPTVZSXJa93zKEUAKIg4hGMxpgMSasllUtqkLTRWjsYw9rcxAhGAEBKcxxHt//kZb25t0WSdNG5s/XVT650uSog6UxuBKMkBQP5C1EpBwAAxLWttjkU0L1ej2645kyXKwJSC7s+AADACH6/o3sf2xG6vnpVleaWFrhYEZB6COkAAGCE57ce0oH6DklSVmaaPvJO43JFQOohpAMAgJDBIZ9++cTboev3rT1D0wuzXawISE2EdAAAEPLYSzWhw4sK8zL1gcsXuFwRkJoi3jgaS8aYbEnfl3SlpD4FJsd82hizSNJ9kmZIapX0CWvtnuB7JnQPAACMrrt3UP/zJxu6vu6qRcrNznCxIiB1xctK+ncVCOeLrLVLdHzm+k8k/chau0jSjyT9NOw9E70HAABG8dtn96izJzBdedb0XF1zYbW7BQEpLOI56bFijMmXdEjSXGttV9jzpZJ2S5phrfUZY9IUWBVfqMBMyXHfs9Y2R1gWc9IBACmltb1Xn/72nzUw6JMkffH65br0/LkuVwUkvTHnpMfDSvoZCoTorxljXjPGPGeMuVhShaTD1lqfJAU/1gefn+g9AAAwil8/bUMBff6cIl2ydI7LFQGpLR5Cepqk+ZK2WmsvkPQVSQ9Lyne1KgCYAL/fUVtnn5raetTW2Se/nx/MIf4dPNKp9ZtqQ9c3vvsseb1jLvABmALxENLrJA1J+rUkWWs3SWqR1CtpTrBdRcGP5ZIOBn9N5B4ARF1H94De2N2sZ7cc1K7ao/riXRv0V3es1xfv2qDaxg6COuLeLx7fqeG/pksXlWiZKXW3IADuT3ex1rYYY56VdJWkp4OTWYb70bdJ+qikXwY/bh3uKzfGTOgeAEyU4zhqauvV/sPt2n+4XQfq27XvcLtajgXG1d1240r926+2hMbXNbX16o57Nukrn1ih7Mw0VZYVulk+MKq3DxzVK281hq4/+e6zXKwGwDDXQ3rQZyXdY4z5N0mDkm6w1h4zxnxW0n3GmH+W1CbpEye8ZyL3AOC0hnx+HWrq0v7Dx7T/cEcgmNe3q7t3cMz3FORmhAL6sKa2Xg0M+vT3d23Q/DlFunz5XK1dNpfDYRAXHMfRvY/tCF2vXTZHC+ZOc7EiAMPiIqRba/dLumyU53dJWjXGeyZ0DwCG+f2O2rv7NTDok8/naP/hY3rdNutAfbtqGzs1OOSP6POkp3lVPbtAXq9HpcU5I4J6aXFOaKTd8Ar8z/+4Q+cuLNHly+dq9TmzmUMN17y684h2HjgqSUpP8+iGa850uSIAw+IipAPAVPP7HdU0tOubP9+sprZelRbn6JbrlqmusVN7D7WP+b68nAzNLy/S/DlFmj+nUPPnTNPc0nylp3nl9zu6/aZVuuOeTaHP+ZVPrNDG7fXKSPeGQr/fkbbtbta23c3KzHhTq88p0+XLK7RsUYnS0uJhqxBSgc/n172P7QxdX3PRPJXNyHOxIgDhXJ+THqf4ogBJ7uCRTn39vzeetOp987VL9K17N0uSSopzQoF8XvBjaXGOPJ6xp14Mr84PDvmVke5VUV6WvF6PunoH9fKb9XpuyyFt39cy6nuL8jO1dtlcXXb+XC2smHbK3weYrPWbanX3/2yTJOVkpeu/b7tSRflZLlcFpJwx/4+ekD46vihAkhoc8uneR3fqwiWz9dUfv3TS/f/4+8vV3t2veeVFKszLjEkNTW092rD1sJ7dclB1jZ2jvmZOSZ4uW16hK1ZUKD3Ne1LoByajf9Cnz3z7T2pt75MkXb9usT5ylXG5KiAljfl/6LS7AEgZB4906nu/fE0H6jt0zhkzR+0fLyrIVHV5bKewlBbn6i/fsVAfvHyBaho69OyWQ3r+9UM62tEXes3h5m69tvOIzqyerrsf3Bpqn7n9plWqKiskqGNS/vjC/lBAn1aQpfetPcPligCciJX00fFFAZKI4zh6elOt/uuRt0InKprKYn3qvWfr3x/YEhcB2Od39NbeFj2z5aA2bq9Xb79Pt924Uj/7/faTvpG489a1Ki5gOgwmprNnQH/9zfXq7huSJH3+g+fqmovmuVwVkLJYSQeQmrp6BvQfD23Ty282hJ7LSPfqsuVztbiqWHfeujYuWknSvB6dt6hE5y0q0ec+eK4272jUjKLsUUc6Rjp1BhjNQ3/eEwroc0rydNWqKpcrAjAaQjqApLVjf6vu/NWW0GFDklQxq0Bf+vhyzSsvkqS4XJHOzkzX2mVz1dbZN2pLTkY6E2AwMU1tPXr0xf2h6xvedZbSmSgExCX+ZQJIOj6fX796cpdu+/GLIwL6NRdW69//bm0ooMe7orws3X7TKpUW50gKBPQv37BCRXlM4MDE/OrJXaGfxCyqnKaLlsx2uSIAY2ElHUBSaTraozt/tUVv1xwNPVeQm6G//fBSXbik3MXKxs/r9aiqrFC3fWqlevuG1NkzqD+/WidTVex2aUhAgU3KB0PXN77nbMZ8AnGMkA4gabyw7bB+9NC2UL+tJJ1zxgz9/ceWa+a0HBcrmziv16Pigmx94ftPye9IHo/04SsXJeyfB+6577GdGp4VccGZs7TkjJnuFgTglAjpABJeX/+Q/uuR7Vq/uS70nNfr0ceuNvrLdyxSWoKPK5xemK1zF5Ro255mOU7gm5H3X7bA7bKQQLbvbdFrbx+RFPhG75PvPsvligCcDj3pABLa3kPH9Hfff25EQC+dnqt//ZuLdd2VJuED+rBLz58Tevzc64dcrASJxnEc3fvYjtD15csrVD07tmcBAJg8QjqAhOT3O3rk+b360t0bdLi5O/T82mVzdPcXLtPi6ukuVhd9Fy4pD0112X+4XQePjH5SKXCil7c3aHfdMUmB8aPXr1vsckUAIkFIB5Aw/H5HbZ19amzt1lv7W/TitnoN+QJNttmZafq7jyzTF69frrycDJcrjb68nAxdcOas0PXzW1lNx+kN+fz6xWM7Q9fvuXi+SotzXawIQKToSQeQEPx+R7WNHbrjnk2hE0JvuW6Z7n/8bfn8fn3p4xeovCTf7TJj6rLz52rj9sChTBteP6zrr17MdA6c0vpNtapvCfykKS8nQx+6YqHLFQGIFCEdQEJo7+4PBXQpcPLm3Q9u1ZdvuEDz50xLiQN+LjhzlnKz09XTN6SG1m7tOXhMiyoZx4jR9fYP6YGnbej6Q+9YqILcTBcrAjAeyf9fNQBJYXDIP+LkTSkQ1IsLs1MioEtSZkaaLgqb9c4GUozF73d0qKlTX7nhAt1240qtOLNU77lkvttlARiH1PgvG4CE5/P5QydvDistzkmZgD4sfMrLC9sOy+fzu1gN4pHf76imoUPfue9VffXHL+lnv9+u665arIy01Pq3AiQ6/sUCSAhPb6rVLdctCwX10uIc3X7TKhXlZblc2dRasqBE0woCf+Zjnf16c2+LyxUh3rR39+ubPx/ZGvbd+19Ve3e/y5UBGA960gHEvcbWbj387F5t39uqm69doqqyAuVkp6soL0veJJmDHqk0r0drl87RH17YLykw5WWZKXW5KsST/gHfqK1hg0P81AVIJKykA4h7jzy/T35HsnVteuLlAyovyVdxQXbKBfRhl54/N/T45Tcb1D/oc7EaxJtjnf20hgFJgH+xAOJae1f/iNNE33/ZAheriQ8LK6Zp9sw8SYEJHq/tPOJyRYgXzW29uuePO2gNA5IA7S4A4trjL9doILhSPL+8SEsXlbhckfs8Ho8uXTZXv1kfGK/3/NZDWnNe+WnehVTw0J936+2ao7r/8bf1tx9eqvKSfGWke1OyNQxIdKykA4hb/YM+PfbS/tD1+y87g8N7gtYuOz7l5dWdR9TVO+hiNYgHR472aP3mWkmB1jBJKi3OTenWMCCREdIBxK1nXjuo9q4BSdLMaTm6eOmc07wjdVTMKtAZc4skBY5+3/hmvcsVwW0Prrca8jmSpLPnz9B5C/mpE5DICOkA4pLP7+iR5/aGrq9de4bSmfM8wqXLjm8gfX4rBxulsoaWbv35tYOh6+uvXsxPnYAEx3/xAMSlzTsaVN/SLUnKy07XO1dVulxR/Fm7bI6Gc9ibe1t0tKPP3YLgmt+st/L7A6vo5y6YqSULZrpcEYDJIqQDiEsPP3t8Ff2ai+YpNzvDxWri04yiHC05IxDGHEfasPWwyxXBDYebu/TcluOr6B+7erGL1QCIFkI6gLiz80CrdtUGNr6lp3n03kvmu1xR/FpLy0vK+83TVsFFdC1bVKKz589wtyAAUUFIBxB3wlfRLzu/QtMLs12sJr6tOXe20tMCPS97Dx7T4eYulyvCVKpr7BjxzdnH1rGKDiQLQjqAuHKoqVObdzaGrt9/2RkuVhP/8nMztXzxrND1htdZTU8lv37aygmuol9w5iwtrprubkEAooaQDiCuPPL8vhGho7Ks0N2CEsCl549seXGGv4BIajUNHXrxjeOjN6+nFx1IKoR0AHGjrbNPz4SNkfvA5QtcrCZxrDy7TDlZaZKkw83d2nvomMsVYSo88NSu0ONVZ5dpQcU0F6sBEG2EdABx47EXD2hwyC9JWlgxTeewAS4iWRlpunBJeej6+deZ8pLs9h06po3bG0LXTHQBkg8hHUBc6Osf0uMvHwhdf+DyBRzGMg7hBxu9sO2QfH5aXpLZA0/Z0OOLzp2t+XOKXKwGQCwQ0gHEhfWb69TZMyhJKpuRO2JlGKd33sKZKsrPlCQd7ejXW/taXK4IsbK7ri20udrjkT72TlbRgWRESAfgOp/Pr0c27Atdv2/tGUrzsoo+HmlpXl1y3pzQ9fNMeUla4b3oF583R1Wz2VwNJCNCOgDXvfxmg5qO9kiSCnIzdcXKSpcrSkyXLj/e8vLym/UaHPK5WA1iYVfNUW3Z1SRJ8nqkj77TuFwRgFghpANwleM4evi5PaHrd62pVnZmuosVJS5TWaxZ03MlSd19Q3rt7SMuV4Ro+1XYKvra8+eqYlaBi9UAiCVCOgBXvbWvVXsPtUuSMtO9es+a+S5XlLg8Hs/ImelMeUkqO/a3atvuZkmS1+vRR69iFR1IZoR0YIr4/Y7aOvvU1Najts4++Zm+IUl6+Lm9ocfvWFGpaQVZLlaT+C5ddrwvffPORvX0DbpYDaLpV08eX0W/fPlclZfku1gNgFjjZ8rAFPD7He2vb9e3792sprZelRbn6PabVqmqrFDeFN4gWdvYEWrJ8Hik9196hssVJb7KskLNKy/UgfoODQ75tXF7g65YQY9/ontzb7O2Byf2eL0efYRVdCDpsZIOTIFjnX2hgC5JTW29uuOeTWrv7ne5Mnf9LmwVffU5s1kZjJLwmelMeUl8juOMWEW/ckWlymbkuVgRgKlASAemwLGugVBAH9bU1hs6XTMVtbb3jgiQH7hsgYvVJJe1YSH9jT3Nauvoc7EaTNbW3c3aeeCoJCk9zaPrrlzkckUApgIhHYixPQfbdORoj0qLc0Y8X1qco4z01P0n+McX9mvIF+jLP7N6uhZXT3e5ouRRUpyjs+fPkCT5HemFN9hAmqgcx9EDYavoV62qUmlwgg+A5Ja6CQGYAoNDft394Db99pk9uuW6ZaGgXlqcoy98bLmK8lJzk2RP36Ce2FgTuv7A5ayiR1v4lJcNTHlJWFt2NcnWtUmS0tO8+vAVrKIDqYKQDsTQb5/do5qGDtm6Nv366V36l09fqG9/fo1uvnaJ7v3jDrW0957+kyShpzfVqqdvSJI0pyRPK88qc7mi5LPm3PLQqa22rk0NLd0uV4TxCvSivx26XndhlWZOyznFOwAkE0I6ECO1jR16cL0NXa8+p1xzSwv04Prd+ta9m7Wrrk1Pb6p1sUJ3DPn8+v2G/aHr9126IKUn3MRKYV6mzl9cGrresJUNpIlm847GEWcIfIhVdCClENKBGPD5Hf3Hg9tCPdemsljvvSRwSM+6i6pDr1u/qVZDvtTaPPrCtsNqORb4CcK0/Cy944IKlytKXuFTXp57/ZAch9n8icLvd0acLvquNfM0vTDbxYoATDVCOhADf3xhf1gfqUd/e93SUOvBqrPLVBw8sOdoR79e3dnoWp1TzXEcPfzs8bGL77l4njIz0lysKLmtOrtM2ZmBr++hpi7tP9zuckWI1Ma3GnSgvkOSlJWZxr4NIAUR0oEoa2jp1v1PHO8jve4qo6qywtB1eppXV62qCl0/8XLNVJbnqq27m1XTcDx4XHPRPJcrSm7ZWelafc7s0PXzW6O/gZSTdKPP73f0QNgq+nvWzFNxAavoQKohpANR5DiOfvjQNg0M+iRJ1bML9cHLF570uqtXVckTbMPeurtZja2psanvd2Gr6FetrFRhXqaL1aSGEVNeth6Kaoj2+x3VNnboi3dt0F/dsV5fvGuDahs7COqT9NIb9apr7JQk5WSl6f2cIQCkJEI6EEVPb6rVm3uDR3d7pFuuWzrqLPTS6blavnhW6PrJjTVTVKF79h06pm17miUFvjbXrj3D5YpSw9JFJSrIDXwz1Nrepx0HWqP2uY929OmOezZxkm4U+fyOHng6bBX94vkqyk/NUa1AqiOkA1HS2t6re/64I3T9vksXaGFF8ZivX7f6eMvLn16tS/rTRx95fl/o8Zrz5nCs+RRJT/Pq4qXloevwU14nqrG1Wz95+E01tnaPepLu8E+SMH4bth7SoaYuSVJudjqr6EAKI6QDUeA4jn78v2+GZn+Xz8zTx9YtPuV7LjhzlmYWBfpM27sG9Mr2hpjX6Zamth5t2Ha8H/oDBI8pdVlYy8tLb9RP+BvCvQeP6bv3v6bPfPtPeuylA+rsGRz1JN3G1h71DQxNquZU5PP59eunj49tvXbtGaGfggBIPeluFxDOGPM1SV+XtMRa+5YxZrWkn0rKkVQj6ePW2qbgayd0D4iFjd9SdQAAIABJREFUF7Yd1uawKS1/++GlyjrN1JK0NK/eubo6tEHsiY01umTZnFiW6Zo/bNgf6lM+d8FMLaiY5nJFqWVx1XSVFueoqa1XXb2Den3XEa0K21B6Ko7jaOvuZj387B69sadlxL3fPrNH/397dx4fZXX2f/yThOyEkLAYAoSdw77LEhCKK3VBq9allUopdW3F52lt1VKpu61bRWsF9wXX6g9sHwW1iCi77OthD4GEPYTs28zvj5kMCZkgSSYzk+T7fr14kbnPLGfuM3dyzbmv+zp33ziEv7+3hsNZBbRNiOau6wfz9mdbiY0JZ/ovhxPeTNV7ztbXq/d7Fp2KjQ5nolLCRJq0oJlJN8YMAUYCae7bocA7wJ3W2p7AYuCJurSJ1Ifs3CJm/b+Nnts/Tu1Mv26tz+qxF49I8Szks3HXUdIP5dRLHwMpt6CEL1bs9dzW6Xv/Cw0NYWyFmulnU+WltMzBojX7mfbMImbMXlYlQB/Usw03/bgXfTon8tS0sbw6/SLumzyctz/bit2XxZpth3nyndWUNbF1AGqrpLSMlnGRPH7HaO6fPJxfXdGH5tHhge6WiARQUMykG2MigX8ANwKL3JuHAoXW2u/ct1/CNSs+pQ5tIj43e+5GTuYVA9C6ZTSTL+tz1o9tFR/N8D7nsHyTaxZ+wfI0pl7Zr176GSifL91DQZErRzklKY6hFVbBFP8ZN6QD/1q4A4AVmw+SX1hCTFTVILCwqJQvVqYx75tdVfLNQ0NDGDMwmat/1J1uHU6dDSkvD9g2IYYhvdp61ghYtjGTv7+/lrtvHOJZJ0Cqcjic7D5wkn9+vN5zRuJPvxyBw+HUarwiTViwzKQ/BLxjrd1bYVsK7ll1AGvtUSDUGJNYhzYRn1q5+SCLK8xK3nntQK+Bz5lMGNXZ8/PC7/dR1IguuisuKaVzuxae2cGbL+1NSIiCjkDo3K4FnZLiACguKWPF5sqLaJ3IKeKd+VuZ8sgXvDx3U6UAPTIijMvHdGHWvRdwz03DKgXop7vxYsNV406laSxas59/frxeq52ewYEjufzt7VWVquQ8+rqq5Ig0dQGfSTfGjAKGAfcGui8iNZFXUMKLH6/33B4/tAPDep9zhkd4N7hnW9omxnD4eD45+SUsWZ/B+cM6+rKrAeFwONmTkcNLn2zwzA5On6LZwUAaN6QDb33mWmhr0Zr9jB/akYyjucz9Zhf/XbmP4tMuKG0RG8EV53Xl0tQuZ13TPiQkhClX9KWouIzPl+0FXGeIIiPCmDqxn76knWbJhgziYyO8Vslp7BWfROTMgmEmfRzQG9hjjNkLdAAWAN0BT406Y0xrwGGtPQ7sq2WbiM+8/p/NHMsuBKBl80imXtm/Vs8TGhpSqRxjY6mZfuREfpXZQdXQDqyxgztgUhK4f/Jwfnp+DzbtOsqzc9bw+dK9lQL0pFYx3H7NAF6dfhE3XGRqvOhUSEgIt109gPFDT+XBf7p4N3MqrKIp8PXqdP721qpqq+R4W2NBRJqOgP8GsNY+Ya1NttZ2ttZ2BvYDlwBPAtHGmDHuu94GfOT+eXUt20R8YsPOIyxY7smq4tar+9dp9cwLh6d4cna37j3O3syTde5jIBUUlXL8ZJFmB4NMm5bRTL68D6/M28h9Ly7h2ffWcNOlvTEprnr+3TvE88dfDOOley/k0tQuREXU/mRraGgI064fTOqAU1VkPvhyuycvvqlbsHwvz763BofTXSXnhiGeQL38rFN8rBYxEmnKAp7uUh1rrcMYMwmYZYyJwl1KsS5tIr5QWFTK8x+u89we2S+J0QOSz/CIH5YQF8Wo/u34bn0G4JpNv+3qAXV6zkBxOp38/f01/GhIR0/Zv3KaHQys7LwinnWXSwTXl6aZH6xl2g2DAejfrbVP01HCwkL5/c+H8VjJSr7fegiAN/9vC1ERYVw+pqvPXqeh+XTxLl6et8lzu7C4lJSk5jw1bSwlpQ7Cm4USHxuptDCRJi5EF/N4pZ0i1Xr1002e1TNjo8N58Q/nk9giqs7Pu37HEaa/tBRwrTT45gOXEBUZtN+jq/XhV9t5+/OtmJQEJl3am5kfrK2Uk94pqYWCjwA5nJXPrx75ssr2V6dfRNuEmHp73aKSMh56ZTkbdp4q4zjt+kFcOLzTGR7VOH303+2e6wLAdfbiwVtS63QmTkQatGr/IDa8CEAkgGzacT5dfGp5+6kT+/okQAfXIj/t28Ry4Ege+YWlLF53gItHNKwgZtWWg7wz3xWA2H1Z7Np/QrODQSS8WWhAzm5EhocxfcoIHpi1lG1prvKMz3+4jsjwZo12Aa/TOZ1O5szfxgdfbfds6905kRlTRxKreugi4oXOO4ucpZLSMp77YB3uhTMZ1LMNF5yb4rPnDwkJqVSOsbwyRkNx4EguT89ZTfnJuX7dWjFxbDcS4qJomxBDQlyUAvQAi4+NZPqUEQHJfY6ObMaMX4+ia/t4ABxOePrd1azYlFnvrx1oTqeTVz/dXClAH9C9NQ/eMkoBuohUS+ku3mmnSBVz5m/j/S8tAFERYbxwz/mck+jbFIGTecVMfmiB5+LKZ+8eR/eO1dekDhb5hSX8fuZi0g/lAq5FnZ69exwt43ThW7BxOJxk5xUF7OxGdm4R9724xLO6brOwUGZMHcGgno1zkSuHw8lLn2yo9KV7WO9zuPfmc4kMDwtYv0QkaFT7C1gz6SJnYU9GNh/999Qs2KRLe/s8QAdXXerRA09dhDp/+V6fv4avORxOnnl3jSdAj2gWyp8mD1eAHqRCQ0MCenYjvnkkD986inatYgEoLXPwyOsr2bz7mF/74Q9lZQ6e+2BtpQB9VP923D95uAJ0EflBCtJFfkBZmYOZH66jzJ3n0rtzIpeNrr/KFBNGdvb8/M2a/eQXltTba/nCB19tr7R65W+uG9QgZv8lcFrFR/PIbam0bulKuykqLuPBV5azIz0rwD3zndIyB0/NWc3C79M928YN7sAfJw1ThSMROSv6TSHyA+Yt3sXO9BOA69T8b68b5KlpXh/6dEkkxb18e2FxGYvW7K+316qrFZsyebfCAjVXju3G+KENf7VUqX9tE2N49LZUzxmXgqJSZsxe1uDXCAAoLinj8TdWeUqqAlw8ohP/87MhhIXpz66InB39thA5g4wjucyZfyoIvfFiQ8dz4ur1NUNCQirNps9ftpdgvHYk/VAOT7+7xnN7QPfW/PLyPgHskTQ0yW2a88itqcTFuC6ezMkv4c+zlnLgSG6Ae1Z7hcWlPPzaClZuOXV26fIxXbjz2oH1+uVeRBofBeki1SgtdXD4RAEP3jKK+ycPZ/yQDlw9vrtfXnv8sI5EuHNW92ScxO4LrjSAvIISHn19BQVFpYCrSsgfJg3TLKHUWKd2LXjollRiolwVgU/kFPHavI0cPp7P4ax8snIKcTiC70uqN/mFJfzl5eWs237Es+3a83twy1X9VdlIRGpMddJFTuN0OjlwJJecvGKer7AQz32ThxPqw9UYz6R5dDjjBrfny5X7APh86V56dUr0y2v/EIfDydPvrubAkTwAIsLD+NMvRxDfXBeKSu1079iSGVNH8sDsZXROasHEcd2578XvGtQiWLn5xcx4eRnb953wbLtpQi+uu7CnT1dxFZGmQyUYvdNOaWKcTic7959g6YZMlm7IYPLlfXll3sYqi748NW0sCXG+Wbzoh2zfl8XvnlsMuCqmvDnjEprHBH5Vwnfmb+WDL09VurnnpqGMHdwhgD2SxmL99iMUFJfy8tzAHns1lZ1bxAOzlrE7I9uz7VcT+3LVOP+ceRORBk0rjoqczuFwYtOyWLoxg6UbMioFBXEx4ZVuAxzOKvDUL/eHHh1b0rV9PLsPZFNc6mDh9+lMHNvNb6/vzdINGZUC9Kt/1F0BuvjMwJ5tSD+U4/XYKywuC1CvzuxYdgF/nrXUU4IU4PZrBnBpapcA9kpEGgMF6dKklJU52LznGEs3ZLJsYybHTxZ6vV9eQUlAlk+vqHwF0hf/tR5w1Uy/4ryuATt1nnbwJM++d+pC0cE92/CLy3ShqPhW85hwr8deWuZJvlmzn5/8qHvAa4yXLwhVWFTGgSO5xES6LnwNDYG7rh/s05WIRaTpUrqLd9opjUhpmYMNO46ydGMGyzdlkp1b7PV+sVHNGN43idQByQzq2YbMo3k88tqKgObF5heWMPmhBRQUuWYRH79jNP26tfbb65fLzS/mf59bTOZRVx56UqsYnrl7HHFBkH4jjYvD4STt4MlKx95d1w/m7c+2Yvdl0TYxhqkT+zKyX7uAfGGtrn/vfL6ViWO7cd6g9n7vk4g0aNX+IlOQ7p12SgNz+lLnMZHNWL/jKEs2ZLBi80HyCrwvCBQXE8HIfkmMHpjMgO5tKs2UB3r59HIv/mu9Z8XCsYPbc89Nw/z6+mUOJw+9upw12w4DEBURxpN3jaVzuxZ+7Yc0HRWPvZJSB+9/sY1Faw5Uus+gHm349VX9SEny3+fQdVF5HjNmL60y0/+XqaPomFS/5VlFpFFSTro0XtXNbH341XavpQsT4iIZ1b8dqQOS6de1VbVlA8uXTw+0CaM6e4L0pRsyyc4t8msllTnzt3oCdIC7bxiiAF3q1enH3t03DqVPl1a8/fk2cvJdZ8LW7TjCb59exOVjunDjxb1oHh1eb/3Jzi3iv6vSWbB8L7+9bpDXnPnIyMCm4IhI46MgXRq87LwiT4AOrj+YMz9Yy9Qr+/PYGysBaN0ymtQB7Ujtn0zvzolBXcrtdF3bx2NSErD7sigtc/DfVfu4enwPv7z2t+sO8NF/d3hu//SCHowemOyX1xYpFxYawo9TuzBmUHvenb+Nz5buweF0fUH/dPFuvlmzn0k/7sOFw1N8tmCQ0+lk0+5jzF+2l6UbMiktc100npMf+OtVRKRpULqLd9opDcjBY3n8+rGvqmz/22/GsGLzQVIHJNOjY8sGXav4q5VpPPfBOgDatY7lpT9eUO9fNPZkZHPP899S5K6qMbRXW/78q5FaNVECbk9GNi/P3cTGXUcrbe/eIZ5brhpA7y61X1MgJ7/YM2u+/3DVlU8HdG/FTRN689Sc1Q2qjruIBC3lpNeQdkoDkV9Ygk3L4oWP1lWtq3zXWBJaBD5dxRcKi0uZ/OAC8gpdK3w+fOsoBvVsW2+vl5NfzP88+w2HjucDkNw6lqfvHlevKQUiNeF0OlmyIYNXP93M0ROV00/GD+3AzZf1oVV89Fk/15Y9x5m/fC9L1md4LbXaM6UlE0Z25rxB7YkIDwuK61VEpFFQkF5D2ikNQHFJGX95eTnFJWVMurQ3MyusDtoYZ7Zmz93Iv7/dDUDqgHbcd/PwenmdsjIHf3nl1NLm0ZFhPHXXWL9eoCdytgqLS/nk6518vHAHxRWC6+jIMK6/0DBxbFfCm3nPF8/NL2bh6nQWLE9j38GcKu3Rkc340ZAOTBjVma7t4+vtPYhIk6YgvYa0U4JcWZmDx99cxYrNBwEwKQnc+dOBxEaHN9qZrX0HT3Lnk18Drhzd1/58MYk+PFNQXlEj62QRh47n8/HCHdh9Wdw/+VxG9VceugS3Q8fzee3fm1i6IbPS9uTWsUy7YTDtWse6Zr7DQjmRW8Tcb3bx3foMikuqLpLUvUM8E0Z1ZuzgDkRH6tItEalXqu4ijYfD4WTmh+s8ATrAyP7t6JLcuGe6UpJa0LdrKzbvPkaZw8mXK9O4/kLjk+d2OJzszTzJo69XrpCTeTRXAbo0COckxnDfzcNZv/0Is+dt9MyMx8VEUFLq4PfPLa702T5wOLdSgB4VEca4IR2YMLIz3Tu2DNTbEBHx0Ey6d9opQcrpdPLyvE2etA+Aa8Z3Z/LlfQPYK/9ZtDqdp991rfrZNiGa2fdfVKcLOfMKSlixOZM2LWP4+/trquT1P3nXWJ/O1ov4Q2mZg8+W7uHd+duYdsMQXpm3scpnu7z6U9fkeCaM6sS4IR2IidI1FyLid5pJl8bh/S+3VwrQLx7RiZub0NL0qQOSmT13Ezn5xRzOKmCtPcyw3ufU6DlcgflBlqzPYI09TGmZg8fvGO219nN52TmRhqRZWCgTz+vGuMEdOHKiwOtnu01CNE9PG9vgKz+JSOOlIF0ajH9/u5t3F2zz3B49MJk7rh3YpP7ARoSHccG5HZn7zS4APl+696yC9PzCU4H56m2HqwTfqv0sjVF880gcTqfXz3ar+KigWKxMRKQ6+gssDcLXq9OZPXej5/bgnm343c+GNMma3RNGdfb8/P3Wgxw5bZawXH5hCYtWp/PIayu4acZ8nnl3DSs2H6wSoHfrEE9+YQn3Tx5O2wRXybryCjnxsf5b2VSkPsTHRjJ9ygh9tkWkwVFOunfaKUFk5eaDPPrGShwO17D06pTAw7emEtWEqy5Mf2kJ63e4FnK54SLDzyf0AlyB+coth1iy/gCrtx32Wu8ZXIH56AHJjBnYnnatY4FT1V1U+1kaG322RSSIKSddGqaNu47yxFurPAF6p6Q4Hpg6skkH6OCaTS8sKuOa83sQ3zyCtMyTLFydzr+/3V1tYN61fTxjBiYzemAyya2bV2kPDQ3R6X9plPTZFpGGqGlHOhLUdu4/wcOvrvAEnUmtYnjo1lTiYiIC3LPAG94niRaxETz3/tpKZeU27zqG3ZfluV/X5HjGDKo+MBcREZHgpHQX77RTAiz9UA73/uM7TuYVA5DYIpK//uY8klrFBrhnwSErp9BT97lceVm5977YxpiB7RkzMJnkNgrMRUREgpjSXaThOJyVzwOzl3kC9ObR4Tx0S6oC9ApKSh1ey8p1bhfHzN+ND1CvRERExFdU3UWCyomcIh6YtZSjJ1wBaGREGDN+PZJO7VoEuGfBJbxZqKdaRbm2CdFNPldfRESksVCQLkEjr6CEGS8v48CRPACahYXwp8nD6dUpMcA9Cz4qKyciItK4KSfdO+0UPysqKWPG7GVs3n0MgNAQ+MOkcxk9MDnAPQteKisnIiLS4CknXYJXaZmDv761yhOgA9xx7SAF6D9AZeVEREQaL6W7SEA5HE6ee38tq7Yc8mz75eV9uGRkpwD2SkRERCSwFKRLQDgcTrJOFrInI5vUAcmYlAQArj2/B1eP7xHg3omIiIgEltJdxO8cDidpB0/yyGsrKi3EY9OO89MLega6eyIiIiIBpwtHvdNOqSf7D+eQX1jKX99aVWUhnifvGktiC+VYi4iISJOhC0clcHLyi/l23QEWrkrH7svi8TtGe12Ip7TMEaAeioiIiAQXBelSL0rLHKzeeoiFq9NZuflQpQA8J7+EtgnRVWbSw5vpEgkRERERULpLdbRTasHpdLLrQDZff5/ON2v3k51bXOU+zcJCmHheV0YPbO9JeSlfiKdTUgvV+RYREZGmpNrAR0G6d9opNXAsu4Bv1uxn4ffppB3M8XqfHh1bcv6wjpw3qD3xzSO1EI+IiIiIgvQa0075AYXFpazYdJCF36ezbvthHF72WKv4KMYP7cj4oR1ISWrh/06KiIiIBDddOCp143A4OZFbREFhCdl5xbzz+VY27jpW5X6REWGM6t+OC4Z1pH/3NoRpdlxERESkxhSkS7XKyhzszTzJwWN5JLSI4uk5qyvVNS8u2YrdlwVA/26tOX9YR1IHtCMmKjzAPRcRERFp2JTu4l2T3ClHTxRg07Kw+7KwacfZuT+b4pIy7p88nFfmbaxSjeWOawayc/8Jxg/tSNvEmAD2XERERKRBUrqLVFZQVMrO/SewaVls35eFTcvi+MlCr/eNiwn3Wte8Y1IcQ3uf44/uioiIiDQpCtIbodMrp8RFR3DgaC7bPbPkWew7eNLrxZ6na90yGkB1zUVERET8SOku3jXYneJwOEk7eJJHXlvhyR+fdv1g3vrsVP54daIiwujRMYGeKS0xnRIxnRJIbBHl9TlV11xERESkzlSCsYYa7E45kpXPvf/4rsqs99Qr+/PYGys920JCoOM5cZiUBEynBHqmJJCS1KLaaiyqay4iIiLic8pJb+yKS8r49Nvd9O6c6DV/PD42ghF9k+jpDsp7dGxZoyosoaEhJMRF+brbIiIiIuKFgvQGzul0smRDBm/8ZwuHjudz/+ThXvPH27WOZfqUEQHsqYiIiIicLaW7eNcgdsqO9CxembeJLXuOe7aZlARuvqwPf39/jfLHRURERIKbctJrKKh3ytETBbz12Ra+Xr2/0va4mHB+dkkvLhnZidyCEuWPi4iIiAQ3Bek1FJQ7pbColE8W7eTjr3dSXFLm2d4sLITLRnflhot60jwmIoA9FBEREZEaCN4LR40xrYC3gW5AMbADuNVae8QYMxKYBUQDe4GbrLWH3Y+rVVtD5HA4WbQmnbc+28qx7MoLDo3om8SUK/qS3KZ5gHonIiIiIr4WDKvROIG/WWuNtbY/sAt4whgTCrwD3Gmt7QksBp4AqG1bQ7R59zF+N3Mxz763tlKA3iW5BY/ensr0KSMUoIuIiIg0MgGfSbfWHgcWVdi0HLgdGAoUWmu/c29/Cdes+JQ6tDUYB4/l8cZ/trBkQ0al7S3jIpn0495ccG5KtTXNRURERKRhC3iQXpF7Fvx24FMgBUgrb7PWHjXGhBpjEmvb5v5CENTyC0v48KvtzFu8m9Iyh2d7eLNQrhrXjWvP71Gj+uYiIiIi0vAEVZAOPA/kAi8APwlwX/zG4XByIreInLxiDmXls2nXsUoB+thB7bn5sj60TYwJYC9FRERExF+CJkg3xjwF9ACusNY6jDH7gE4V2lsDDmvt8dq2+eu91ITD4SQt8ySPvL7CU9f8rusH8/ZnWyEEpk7sR6/OiYHupoiIiIj4UTBcOIox5jFcueRXWWuL3JtXA9HGmDHu27cBH9WxLehk5xV5AnSAw1kFzPxgLb+9bhBP/vY8BegiIiIiTVDAZ9KNMX2B+4DtwFJjDMAea+1PjDGTgFnGmCjcpRQB3DPtNW4LRiWlDk+AXu5wVgHRUc0ICdGFoSIiIiJNkRYz8s5vOyUrp5DfP7e4UqDeNiGap6aNJSEuyl/dEBERERH/q3ZGNijSXZqy+NhIpk8ZQduEaMAVoE+fMoL42MgA90xEREREAkUz6d75dac4HE6y84ooKXUQ3iyU+NhIQlUDXURERKSxqzbgU5DunXaKiIiIiNQ3pbuIiIiIiDQUCtJFRERERIKMgnQRERERkSCjIF1EREREJMgoSBcRERERCTIK0kVEREREgoyCdBERERGRIKMgXUREREQkyChIFxEREREJMgrSRURERESCjIJ0EREREZEgoyBdRERERCTIKEgXEREREQkyCtJFRERERIJMs0B3IEiFBLoDIiIiItJ0aSZdRERERCTIKEgXEREREQkyCtJFRERERIKMgnQRERERkSCjIF1EREREJMgoSBcRERERCTIK0kVEREREgoyCdBERERGRIKMgXUREREQkyChIFxEREREJMs0C3YHGyhjzFHAN0Bnob63d5N5+GfAwEA4cByZba/e42y53t4W4/z1orf3E3bYXKHT/A/ijtXaBn95Oo1HLcTlTW0/gTaAVcAz4hbV2hz/fU0NXD2OyFx0rdWKMaQW8DXQDioEdwK3W2iPGmJHALCAa2AvcZK097H5crdrk7NTTuDiBjYDD/TKTrLUb/fWeGro6jMkcYDzQDoiz1uZWeE4dK3VUT+Pi92NFM+n1Zy4wFkgr32CMScAV0N1gre0PvAz8090WgusDNclaOwiYBLxpjKk4Rtdaawe5/ynoqJ2ajku1bW4vAf+w1vYE/oHrwJea8fWYgI6VunICf7PWGvc+3gU84f599A5wp/szvxh4AqC2bVIjPh2XClIrHC8K0GumxmPi9iow6PQn07HiMz4dlwr8eqwoSK8n1trvrLXpp23uDhyy1m533/4MuMQY09p92wHEu39uCWRaax2Iz9RiXKptM8a0BYYA77nb3gOGGGPa1O+7aFx8OSb+6XHjZ609bq1dVGHTcqATMBQotNZ+597+EnCd++fatslZqodxkTqq5ZhgrV1Yzey4xssH6mFcAkJBun9tB5KMMee6b//c/X+KtdaJ64MyzxiThmt28RenPX6OMWaDMeZFY0xL/3S5Sah2XH6grSNwwFpbBuD+P8O9XeqmtmNSTseKj7hnnm4HPsW1jz1nPKy1R4FQY0xiHdqkFnw0LuUWGWPWGWMeN8ZE+uUNNEI1GJMz0bHiYz4al3J+PVYUpPuRtTYbuB541hjzPdAWOAGUGmOaAfcBV1prOwFXAB8aY5q7H36etXYgcC6ufPUX/P4GGqkzjcuZ2gLV36agjmOiY8W3ngdy0X4MNr4alxRr7TBcKWd9gD/XtWNNmI6V4NRgjxUF6X5mrf3KWjvGPdAv4LpwYReuHKhka+0S9/2WAHlAb/ftdPf/RcCLwOgAdL/ROsO4nKktHWhvjAkDcP+f7N4udVTLMdGx4kPui3p7ANe7U+/24TplXN7eGnBYa4/XoU1qyIfjUvF4OQm8go6XWqnhmJyJjhUf8uG4BORYUZDuZ8aYJPf/ocBjwEvW2jxgP9DBGGPc7b2Bc4BdxphYY0y8e3sIcAOwLhD9b6zOMC7Vtrnz1tYBN7qf5kZgrbX2iL/73xjVZkx0rPiOMeYxXPmbV7m/8ACsBqKNMWPct28DPqpjm9SAL8fFGJNgjIl2/9wMuBYdLzVWizE5Ex0rPuLLcQnUsRLidDrr+zWaJGPMTOBqIAk4Chyz1vY1xpR/+4oAvgD+x1pb6H7Mz4F7OVXeZ4a1dq4xpivwMRDm/rcFuMtam+nP99QY1HJcztTWC1elkQQgC1cJRuvfd9Ww+XJMdKz4hjGmL7AJV/5/gXvzHmvtT4wxqbiqGEVxqnzZIffjatUmZ8fX42KMGeXe7sRVznQpcLetUHZOzqwOY/IJMBxoj+tapk3W2kvcbTpW6sjX4xKoY0VBuoiIiIhIkFG6i4iIiIigbbWQAAACP0lEQVRIkFGQLiIiIiISZBSki4iIiIgEGQXpIiIiIiJBRkG6iIiIiEiQUZAuIiIiIhJkFKSLiIiIiAQZBekiIuJ37lX7RESkGlrMSEREKjHG3AOMtNZeU2HbTFyr7T0APANcimt15NdxrY5cZozpBrwMDHTfdwFwp7X2hPs59gL/BH4OGCDWWlvqp7clItKgaCZdRERO9w4wwRjTEjyz3jcAbwFvAKVAd2AwcDEw1f24EOBxIBnoDXQE/nLac98IXAa0VIAuIlI9nW4UEZFKrLWZxpjFwE9xzYxPAI4C+3HNoLe01hYAecaYZ4FbgFnW2p3ATvfTHDHGPAPMOO3pZ1pr0/3xPkREGjIF6SIi4s2bwO24gvSbgLeBTkA4kGmMKb9fKJAOYIw5B3gOOA+Ic7dlnfa8CtBFRM6CgnQREfFmLvBPY0w/4HLgD0AJUAS0riZV5TFcuej9rbXHjTFXAS+cdh9dCCUichaUky4iIlVYawuBfwHvAiuttfustZnAF8DTxpgWxphQY0w3Y8w498PigFwg2xjTHrgnIJ0XEWkEFKSLiEh13gT640p1KfcLIALYgiuV5V9AO3fbg8AQIBv4P+ATv/VURKSRUQlGERHxyhiTAmwDkqy1JwPdHxGRpkQz6SIiUoUxJhT4X+B9BegiIv6nC0dFRKQSY0wscAhIw1V+UURE/EzpLiIiIiIiQUbpLiIiIiIiQUZBuoiIiIhIkFGQLiIiIiISZBSki4iIiIgEGQXpIiIiIiJB5v8DqtY7/s1UFW0AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NVoEtQz3h4Rj",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "outputId": "9993f657-4247-4904-b134-d2a433388ded"
      },
      "source": [
        "# JOINT PLOT\n",
        "plt.figure(figsize=(12,8))\n",
        "\n",
        "sns.jointplot(x = 'year', y = 'gdp_per_capita ($)', kind='kde',data=taxa_brasil_gdp_capita)\n",
        "\n",
        "sns.despine(top=True, right=True, left=True, bottom=True)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x576 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x432 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XC1XviRGjgJy",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from mpl_toolkits.mplot3d import Axes3D"
      ],
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b2-e206HkqCA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "gdppc = taxa_brasil_gdp_capita['gdp_per_capita ($)']\n",
        "gdpm = taxa_brasil_gdp_capita['mean']\n",
        "# print(len(gdppc),len(taxa_brasil_gdp_capita.year),len(gdpm))"
      ],
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wVV5bjYAiyM_",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 248
        },
        "outputId": "7ce75287-98d4-44c9-98e2-c8016b456408"
      },
      "source": [
        "# Make the plot\n",
        "fig = plt.figure()\n",
        "ax = fig.gca(projection='3d')\n",
        "# ax.plot3D(Y=gdppc, X=taxa_brasil_gdp_capita.year, Z=gdpm)\n",
        "ax.plot3D(taxa_brasil_gdp_capita.year, gdppc, gdpm, 'gray')\n",
        "plt.show()"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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hStHfTvZe0CKtZvpZio7Ji0Pe5lsul5uaIG0ErY6kAX3RtMPhwBVXXIG77roLd9xxhyFSzOfzePDBB/HHP/6RfRY9PT2Kz/3xj3+Md73rXSgUCqZqI4BFuopo1tAgh81mgyiKOHXqFKrVKnp7ezEyMqLry2i0s4wndQDYs2eP4W4grf1JksSGVgJgOdu5uTnd+9DatxGo5ft4jSgRTqlUwsrKiqL3wma4km2njrRmzQy8AU6xWEQ+n2cqmc22z2xVesHMPgRBQLFYNBwYLCwsoLOzEz/4wQ/w3HPPwe/349Zbb21ITRw/fhxPP/007rvvPvzoRz8ytA8eFulyoC+tKIqaDQ388/loMBQK1bXq6oEe6Zfcf6G3txdDQ0M4ceKE4S+8Gumqka1al9DZhBLhLCwssDbRcrnc4EqmNMmi1WShB5u5/OfJmLTea2trcLvdCAQCivaZpEs2e6Pa6vSCFnK5HAAYJl1RFLGwsIDzzjsPt99+O44ePYrPfvazeOyxxxAIBACckV5++ctfxte//vUN36gs0sXr1fZkMsmKQ83Illp17XY7wuEwFhYWdE3WlUOLdEmWFYvFIAgCent7GalT6sPoRask/cpkMohGo+xYlHK2m9Uc0aqlus12xq/X7/c3+AqQK1m5XG4wwuEJR63DrJV50a2SdOmxz9QyTaefSk5irb55iaKoax+ZTAYADOt0+/v74XQ6ceONNwIALrjgAoRCIZw+fRoHDx4EAMRiMczPz+Mzn/kM2xddn2oFNzW8oUmXb2io1WpYXFzE/v37VS8C3mPW7Xajv7+faXMdDgdrVzQCJdKVy7J6e3vR0dFR9754eZYZ0pWTbbO2453svUDRG0UtwOveC3y7r7zDjIimVqvtWO8FrUhUTWWiZp+ptGqoVCobsoXUewx6rqtsNgsA6OjoMLT9rq4uXHrppXjmmWfw9re/HadPn66b5gEAAwMDeO6559j/v//976NQKFjqBb3gNbbA61ESEaD8AxZFkXnMKtkeAua9EHgyky/x1cxu+H2aIQNRFDE9Pa2LbJXep9rf9WC7ELeaEY5Sh1m5XMby8nJD1Cd32zKDVp8PM5Eof6OSb4v3pcjn88jn86jVashmsxuyz9R6/3pvTLlcDna7veHa1IO7774bd955J/7lX/4FTqcT3/zmN9He3o6//uu/xuc+9zkW8W4G3lCkq0S28hZGURQZ6VLKgabqarXqmiVd0ulSBK21xJfDSPRJKRHqIDMzdueN4r0gV1LMz8+ju7sbdrudDdtUkm4RiRstUO2UNmAlMqaccVtb24btM5VA+Vw9z89mswgEAqaIfnh4GPfff3/D7//1X/9V8fm33HKL4X0Q3hCkq9TQoPQhEnFWq1UkEgnWqqvHicsM6VIaoVqtIplMGiZCvUU4Pv8ciUSwuLhoOO+lRvC1Wo0NxaQLTD52faeDokW5kkJJLaDVBq2WE90ppKsEWhlu1D5T7ftyrvkuAOc46Wo1NKiBGg2aTdWVwwjpyueP2e12jI+Pm5IOqUWffGTrdDpZ/pmWa0ahdDGsr68jFovB5/Ohp6eHtW6q5UeJpFpNBK2A0vtVUgsA2gUq+RQLGl3fKpzNNmA+hdPMPpO+L/IWXz3XLCGXy1mkezagt6GBB7XqlstleDweQ4MeCXpIV2n+mM/nw2uvvWa6w0upCEeE7nQ6MTAwwIp98ueZKcDJyXZ0dBRer5cJ85U6zWhJzvsMbHRJvp3RrEDFpygKhQJqtRry+XxL2qC3og3YjGJHK5/Ot/iWSiWIoojZ2dmm5yeTydQVS7crzhnSpeiiUCiw6LQZ2cpbdcn1y0w1Vot0teaPmZV+AY1FOD1kS+fEzP7y+TwSiQQ8Hg9GRkbqjoF+8tuU50cLhQISiQT6+/vrNKNKS3JewnW29bSbFZnzOVG6OVHaJxAIMDLezDbo7eIypgdK+fRcLof19XX09vZq2mf+z//8D2ZmZphland3t+796vFd+OEPf4iHH36Yye9uu+02XH755aaOc8eTLt/QUC6XMTs7i71792p+0ajRgFp1h4aGYLfbmYuRGSiRLs0fi8fjqoU4m82mqppoBuqEo8hTi2zlrzNSgEulUlhfX4fD4VBUbvBErgdq3VS8npYvxlD+j4+Kt4sZzkZBpKUW+RHRNGuDVvJdoO2frfTCZm3f6XQ2tc+cnZ3FsWPHEI/HcejQIfT09OC+++7TdP4j6PFdOP/88/GpT30KPp8Px48fx8c//nE8/fTTmiOu1LBjSZfX2NIXi7SySl8yvtFArVWXXm8GvFuYfP7Y+Pj4ps8fo+NfWlqCx+PBwMCA7qWVnv0R2UajUbjdbrS3t8PlcpmS4+h9T0p6WvmSk49yeNKhG28rcLZ8HbTsIXkyJiUFnUP5edkMUhRFEfl8Hrlcjj0CgUDLzYe0SJ0/P//4j/+I2267DUNDQ7jpppuwuLiI/v7+ptvX67vAR7V79+5l14cZ794dR7pKZEsfCpEmf3fnta+SJCk2GhDMyr7otYIgYHV11ZDqweh+eTKs1Wro7u5GOBw29F6NFOAGBwcRCATY/vQgn88zpQifPqH2U5/PV5eSkD+Ufs//jiJrvkBVLBYxNzfHils0NZb+zR+f3v3QI5lMYmVlhemi1Z5r5v+FQoEtWY28J7VzR0odmrtXq9Xw5JNP1qXa+O8+DZXkp+8SIpEIC1aUzF16e3tx6NChbWMdSfap+/btw759+3S9Rq/vAo8HH3wQIyMjps3SdxzpiqLIDLPlHwZFu6S1pUGPerWvRJxGUa1W2RTSzs5Ow/PH9Eq/KI3gdrsxNDSEZDJpeOwOoOxsxkvLHA5HQ5pCT3Scy+XwxBNPYHp62vB72omQE5mZ/xOp8OPE1V7X7Hd2u70u8hQEgd2UzNiH0rBJHm1tbdi1axd27dqF4eFhnDp1atuQrhkDcz2+Czyef/55fPe738W9995raD88dhzp0hdUDTabjelG5a26zUAjQfSiWq0iFoshnU7D6/UiGAxicHBQ9+v596xGaPLW46GhISZPWl9fN7X05TvZaCXQrB1Y6/zVajUcOXIETz/9NERRxKWXXspWEzwpCIKAdDrNInMzJKP2/2g0io6ODpb+kD+nWq0yd7JqtYpqtapYqKI5Zrwgf3Z2FsPDw3U60s1aUq+srMDv9xsii1qthkKhULfUz+VyDct/pejV5XIhEAjA7/ejra0NXq+XFSydTicEQWDfB+qMbG9vx+7du7Fr1y709/ez689sAdgI6DPSAzM6XT2+C4Q///nP+Id/+Af86Ec/wsTEhKH98NhxpKsGKloJgoB8Pq9Y8GkGvcv8SqWCWCyGTCbDpkEUCgWk02lT711pvzzZejyeTW89rtVq7OKy2WymvRei0SgeeeQRLC8vY2RkBO9+97vR2dmpuI1SqYS1tbW6nvbNQrVaRSgU0jVJmaBUqEqlUpAkqY6IiYBbEdHJU2GUo5UTKP8oFAoNn4XNZoPf70cgEEAoFGI352KxiImJCQQCAQQCAcUGhGQyiampKZw4cQJra2sAzjjmHTx4EJFIBG1tbSxtEY1G64qZtO9WodXNEXp8FwDgpZdewm233Ybvfe972L9/v6F9yLHjSVcQBCQSCSSTSQQCAfh8PoTDYVMFn2ajc/jRO/KROBvNB9Nr9ZAtwWwBjsx9NtJyXK1W8cwzz+D555+Hx+PBtddei3379jVdhbSyKGUUaoUqvrGBdKLz8/MNZi9GWlopGOCjUjI1qlarKBaLyOVyiuktj8fDSLOnp4f9mx4UtcrPvSAImJubayAQSZIQjUYxNTWF6elpJJNJAGeivssvvxy7du1CKBSqe43cNJ2PpBcWFhQ9KTYDelU9oiiiUCgYNrsB9Pku3H333SiVSrjrrrvY6775zW9i7969hve340iXXy7SaPH29nZWtJqbmzNdxVZTL/Dzx9RG72yUdEnxQI0TeiJ1pdysGqggEo1GmXqjt7dXd5TCE+bp06fx+9//HqlUCgcPHsSVV17J1APNtNE7AfIus3w+j5GREUiS1CBpq1QqLAqktAWZh/MEWywWG/bjcDhYWioSiWBycpJFqzyhmp38wEfRtVoNS0tLmJ6exvT0NLLZLGw2G4aHh3HhhRdicnJSM0qUG8rXajWWu+/u7q7TXFOjDH9jUmuDbga9kW4+nwdg3EsX0Oe78Ktf/crwdtWw40hXFEUsLy+z0eLyotVGZV/8a/nmiZ6eHs35Y2ZJlyRRKysrqg5mWu9Xj/SLH5UeDoeRSCTQ1tZmmByLxSIeeughvPrqqwiFQrjpppsQDoextraGYrHILnJ5g8N2MQw3CoroYrEYisUiCoVCw7KfXLbk8Hg8bOZZd3c32tvb0dHRgfb2dkasXq8XS0tLhtMielGtVrG2tobp6WnMzMygWCzC4XBgbGwMhw4dwsTEhKqBk/w85PN5rK6u4sknn2QER+jp6UE+n4fb7canPvUpANDdBt1staCXdM166Z4N7DjSpa4ltVZdUi+YAUWchUKBXWh880Sz1xohXb6d1mazIRQKGZagaEW6knRm2kQ0GoUoigiHw8wm0mgBTpIknDhxAs8++ywEQcChQ4dw8cUXI5FIYH5+Hr29vRgYGGASJeqsKhQKWF9fZ25TLpcLgiAgl8ud1QYH+ozVcqZErEpFVdIRBwIBDA8PN0SmgUCA3TT5fDH9mzS2FDWTF8VmgRoFpqam2Pgot9uN8fFx7N69G2NjY3C73ZAkiX3P6ZjpnNDNJZVKNRCsEorFIvr7+zE+Pg5AXxu03I2Mb4DhrSGNTo0wk17Yauw40rXZbOjt7VX9ojbLy2qhXC6jWq0yIhkeHtYdoeklXSXvAnLoMgq1ScL5fB5ra2sQBAHhcFjRAF3vhZ5MJvHII4+wc3LddddBFEUsLi6ip6eHnSOS8akZwFC0RFrdcrmMWq3WkB/dSD5QkqS6Zb1aQUpJc2q32xmBdnd3Y3R0lC3vM5kMdu3ahfb2dkMSPfl0X0lqNMKhVY7eKRZKKBaLOHXqFCNagtfrZUNLS6USXn31VTz//POMYM2SfSQSwfj4ODo6OlgApAd8AwwP3gCHPBeoDVqSJMTjcaayUGuDpnSJ5b1wFuBwOAxpEikipPljgPFhj0Bz0pX7L/Atwel0esMG6ABYZEs5W7V5bXpJ9/Dhw/jDH/4AURRx8OBBjI2NIZ1O6xr1Lt8fqQBSqRST1VHUJ7/YlApWdrtdkUDpd6lUihW95PD5fCwKDYfDDZEpFWDVCG5qagpdXV0bTpEoRYBzc3MIh8PMq1dtigWdLyq6RaNRHD16VDPAoGGdq6ur7Abg9/vR29sLv98Pr9eL9fV1HDt2rGmgsnfvXvT29kIURaTTaczPzyOVSmlOxL3uuuvwF3/xF03Pi1Yb9PT0NPPqVWuDTqfTOHbsGHw+345IY52TpEuTcrXAtwXz88eOHTtmar9EunLdohbZ8q81E3VQeqFQKGBtbQ2VSgXhcLjpcEy9BTj+Ynz55Zfx8ssvo729HZ2dnWwIJ/0MBAKGCz5USKKUBDWZZDIZZDKZumWv0o3U6XQy0uzu7kYoFEIoFGIRKv1s9TgZs6DPLh6Ps2PnH/zxNyPF9vZ2jI+Ps/SG3+9nK5DJyUlIksTmfL322mtIJBKG3uuJEydw4sQJQ68x2impBJvN1iBBlLdB//znP8d//dd/AQCuuuoq7N69G5/97Gdx4YUXNt2+HrMbURTxta99DU899RRsNhs+85nP4EMf+pDpY9qe38Ym0IrUmqUXJEl7/hiRp5kRJ/S+iNSIbNva2ppOnTDTMVStVtlymW4aet63HpIXBAFXX3011tbW2I2MNJypVApTU1MNUY7X60VnZyc6OjrQ2dnJ/i2KInK5HDKZDFZXV/Hyyy/XkYqa5tTv9zOJFEVmtLx0Op1MLeHxeFCtVhEIBFgK4GxGPPS58HlSpZypWpTo9XrZ8VerVTb7i+ByuTA5OYnBwUE4HA62LepAi8ViiMViWF9f35Tj8fl87LOkB93Y7Xa7Lo8DM1C7Dh0OR13q5s4770QkEsF///d/4+abb8b09LTulaMes5uHHnoI8/PzePTRR5FKpfC+970Pl112GYaGhkwd144kXS2oqeHZOu8AACAASURBVBd4DwZAff4YkbbZHCt19OghW/51RtILtLwsFApwOp2YnJw0RDJaNy1BEBCPx7G+vo6Ojg4cOHAALpeLKTj4ThwyoEmlUmzSRjqdxurqKk6ePKm4D5fLhfb2dhad8tIovhCl53jIh6NcLiMajaJcLrOIXz7FwkiOVGk/ABhZNnso3UBpdpff70cwGERfXx/a2tpYgw35CdtsNszNzWFqako1Gq1Wqzh+/DiOHz9u+FjkGB0dxQUXXIDx8XHDufRkMtkykyHAWGMEpdRuuukm3dvXa3bz8MMP40Mf+hDsdju6urrw7ne/G4888ghuvvlm3fvisSNJV+vCkasXeE8BPc0AZiVnlFqYmZmB3+/H2NiYbts3vTlWIttisYje3l6EQiEkEglTUbl8f7wzWnt7e4MUT+k1Ho8HkUgEkUiEmcbTeRVFEZlMBul0mhXWvF4vlpeXddnt6T0OinpdLheTXvF6WsqRUmFGnit2OBxsNLvaI51O4+GHH1b8Xrjdbvh8PjgcDrhcLnR3d8PhcLBBp/Rvm82GUqmEUqmERCKBpaUlxTZdJXR0dDBiLhaLSKfTTCIlx+DgIPr6+lgn2fr6OlZXVzEzM4NSqQSXy4X+/n4MDAxgYGAAPp8PbrebGfgbId6zOZVCjmw2a1ijq9fsZmVlBQMDA+z//f39WF1dNbQvHjuSdLVAkSq5cZHPrN75Y0ajTmo/pqhkYGDAsGyl2T5LpRKLbHnFgNLSXA94AqUZZ/F4HIFAQNMZTWtf8vPqcDhYjpWw2fKoZhAEAcVisS5Hms1mkc1mUSgUUCwWDXltAK+bKtGDCktaIC9Yr9cLn8+HUCgEp9OJ1dXVhuVsOBzGwYMHsWfPHparp8fi4iLrWHO5XAiHw+ymF4lE2LleW1vDiRMn8Nprr9Wthvbu3YuxsTGWmuGlbNls1nBTgyRJLZ320eoWYKNmN5uFHUm6zYpEgiDg5MmTcLvduky9eeiVnMkNysfGxrC0tGSqe0iNdKkTjpb2cr3wRr0XEokEYrEY2tradHn+nm1Q4UkpTxqPxyEIAkqlUp215GaByMjn89WRqNKDf47H42HnrlQqMWnX9PQ0UydMTk6it7cXHo8HiUQCx48fx5NPPsnSFE6nk5ExT7D8dyGRSODZZ5/FiRMnkEqlYLfbMTg4iIsvvhgXXnhhg0xLnhcFlCVtvM5aTsaiKJrultMDI17AuVwOw8PDhrav1+ymv78fy8vLOP/88wE0Rr5GsSNJVwm8/lWSpDo3LiNoll7gyVZuUL5REiRQjjKXy2l2wpn1XiBiajZWfqP7Utu/HEqVe/mDyHaj78FmszUlSr5gB7y+dK1UKswMR0nSpoRcLoeZmRlMTU1hcXGRfc4+nw9dXV2oVquYmZnBa6+9BuDM9y8cDmP//v2MYNXkaul0GidOnMDx48cRj8dZW+8ll1yC3bt3s5WQXm2xVlODUrqGxmOVSqUGnfVm3KSN2jq2yuzm2muvxS9/+Utcc801SKVSePzxx/HAAw8Y2hePHU+6NK6Gl2SdPn3a1BgNQJ049UyDMEu6pCbgDXX0aGGNei+QOTkABAIBjIyM6H6PWqRLN4larVZHSGTywi/vl5eXcfLkybrfG13iA/XztLxeLyRJQjAYZO21WmRqhBBqtRpmZmZYFCU3w0mn03WFO8qPLiws4PTp01hZWVHcLqU2gsEg9u3bx/Kw3d3dmkSTz+eZfIu23d/fjyuuuAJ79uypCzSy2eymqDj4lAOPpaUleL1eZonKm+AYuTGpodWkC+gzu3nve9+Lo0eP4pprrgEA/O3f/q3hqJrHjiRdm81WR4LywpXZmWP0Wj69YGT0jlnSpfzaqVOnVA111Panx3uBLBzJnJxyeUagRLrJZBJHjx5ldogUQVP0oycqpaq+FlEqPeTkubi42DIPAx5KHXe1Wg0rKyt44YUXMDU1pXqc3d3d6OvrY49QKIRTp05h9+7dmjeCUqmEqakpHD9+HIuLi5CkMxNQ3v72t2Pv3r2qNQRJau0kYEmSmLyN/x2fL+ZvTNT0YsR3Qe81bKaQBugzu3E4HLj77rsNb1sNO5J0i8UipqamVEmQChxm8k2UXpCTrZ7RO0ZJl3x5qRCjl2wJWtEnNX+QtpYvJNIy2Qj4fQmCgFgshj/84Q+Ym5sD8HrkSctmvpWVr+YTyQYCAQSDQaZq2K4NDEom3XQjO3LkCF544QXF13m9XuzatQvd3d3MXJ1M1G02G8rlMtPRViqVhqnHlUoFMzMzOHHiBGZnZ1Gr1dDZ2YlLL70Ue/fu1TXtttUG40qRqFYruHz8fCKRgCAIcLlcDWTsdDoNka6ZqRFnC9vzm94EPp9PkwQ34r8AgBlxGJlzRvvVa4Iej8eRTqfR1dWFyclJnD592nBkrrQ/amteW1tDrVZDJBJpkMiZyc9SKiMajSKRSKCjowMf+MAHUCqVWAtts8KHJEmYmprCyMgIu/jW19fZUEXemcyIV20rQX4O09PTLJpV+4wvu+wyjI+Po6enR/UmwherqHNyZWUF1WoVdrsdyWQSCwsLTKkQCARw0UUXYd++fQiHw4bOx1aQrhFrUPn4edoGny9OpVKs1ZdyzHa7XdOXo1arWaTbatAFqgYzWlvez9bhcBgiW0Iz0uXH+4RCIeaURoMEjYLIk76gvPeCktGN/HV6Qd111K7Lnxv6aUQt4PF46lYn8qp5Pp+vc5+Sk3Ero2JaHdBjaWlJNed80UUX4S1veYuhlAZfrPL5fEilUhgYGMCLL76IF154gellR0dH0d/fj1AoxM5VOp02lB9ttY52M9IXfG6eB1m4Op1O5sshl7QRCS8vL0OSJIt0zyaM2DuKooh4PM4i23A4jEKhYJhwAfUImzdc7+zsbLClVPNtaAZqPSaLvnK5rNt7QQ/p8sMwSfqkVkDQ877VnqNWNeejIGpgUIqKyarQKGhFwD+0rAz37NmDffv2YXR0dFOkUuVyGVNTU3j00UdRKpUwPj6Oiy66CCMjI4zMKCUhz4/yvrRqrmStzumaaZfXC1JAUHEUqL850/fhySefxD333AO73Y477rgDBw4cwPXXX183Ml0LV155JTuPAPD5z3++4bWnT5/GXXfdxYj/+uuvxy233GL62HYk6Ta7wPWQrpxsKXrLZrPMm9Mo5B4KlPskst21a5fixSr3bdALKlYtLCygt7e37mLVQjPSpZzl2toaXC4XhoeH4fV6maxpo9B7nEpRkFpUXKlUsLa2Bp/P1xAJ0Y1JTrD85+z1ehuMkvx+P5sv9pa3vGXTGgGq1SqOHDmCw4cPo1QqYWxsDJdddpmihwHlR+V6WrkVIu9KRscuCIJpQ3892OqONP7mTET84Q9/GIODg/jCF76AK664AgsLCzhx4oRu0gWA733ve9izZ4/q3++55x685z3vwcc//nHk83nceOONeOc738l0u0axI0kXMG96w89UU2p33agJeq1Wa/AvUCNbvccjB6/jtdlsmJiYMOTzqiY144tvNpsNAwMDdVHGZuh0N3qRqkXFCwsLCAQCsNvtSKfTmJmZYamcdDpdZy5Dgxt9Ph9zNCNPjo6OjrrJt4IgYGFhYVMIt1qt4ujRozh8+DCKxSJGRkYwNjbW0Haq5xyo5Ud5q0yaHEErFX5lsFFTIPo+tDqSbnbebTYbfD4fKpUKPve5z7Uk9WSz2ZjpUKlUgs1mQ1dXl+nt7VjS1YIScTYjW8JGZp2RG//U1BQ6OjpU96EEPTK3SqWCaDRap+OlOVVGoETwtNQWRVGx+EZodXHGKMj97OTJk6wizvsSdHZ2stxoe3s7RFHE6uoqVlZWmGqERPJ79uxBT0/Pph9ftVrFSy+9hMOHD6NQKGB0dBSXXXYZenp6sLS0tGn7kQ/aLJVK6O3thcvl0syXy8fP6zl++h5sB++FbDaLtrY204T7+c9/HpIk4U1vehP+/u//viE3fOedd+Kzn/0sfv7znyOTyeALX/iCaYcxYAeTrlZkSGJtoN41S4tsCWZIl1IVZD5jhGz17JcvwHV1ddVJy8woEXh9b7FYxNraWtN8sNkUiNJ2zEbM5EHBpwh434P29nb09fXhggsuQCQSQTgchsfjwerqKqanp/Hiiy8ilUoBOCOh27t3L/r7+1lDQyaTYd1VfDOA2eOtVqt4+eWXcfjwYTbc8rLLLmMm7pSfbhXIG0EtX86nKHjVgNLEY3kw0Mp8rtF9mPFdIDzwwAPo7+9HpVLBP//zP+OrX/0qvvWtb9U95xe/+AXe+9734uabb0Y0GsVf/dVf4cCBA7jgggtM7XPHkq4WyGJxdXVVN9kSjBbhSMsbDAYxMDCAZDJpmHDpPctJV54TVpoLZ+YmQfKu+fl55sWrNx+8VYY1lELhCZYIEzhDsJFIBAcPHkQ4HEYul4PP54MgCMhms5iZmcHRo0exsrKCXC4Hu92O4eFhvOlNb8Lk5GSDoYlc1M/7DkiShJWVFcVcsRIEQWCRbT6fx/DwMG644YaG6KjVqwat7atNa9DT2GCmu8zMezcyH80s6VIe3e1246Mf/Sj+5m/+puE5999/Px5//HEAZwyJ3vrWt+Lw4cNvPNLV+sJnMhlks1lm9myEBPUoCeRkS0W4YrFoOjXBR4B8ka9ZTtho5EgNGZVKheU29V5AzbqmSqUSa3TQeq78/VLahCdY3oCbGioikQh8Ph9rNMhms1hZWVF0W3O5XMy3dteuXZiYmGhq6KMk6i+Xy1haWmIjY0hXLEkSnE4nI1/6HGKxGJtDNjg4iOuvv15V8bGddLQENSMcPirOZrNsNNLc3JxiY8NGYSR9YTbSpYkcwWAQkiTh4YcfVhwvNDQ0hKeeegrve9/7kMvl8MILL+DKK680vD/CjiVdOfg0gt/vh8fjMeUEpLWMlpvdyLW8G2nKoOicmg/0Rud6/Rf4qLm9vR0ulwu9vb2G3qMSwfNFPbfb3WAKw1+QdH6Wl5cRj8cZwSaTSc39kvid1AYOhwPBYBDBYBAjIyMIBoNsCGdPTw+CwWCduxfwOnFUKhVUKhXFfyv9jlqbSZnC/13tvFOL7sjICPOFOBv58c0qdCkV7sjbORwO10335SV98hSFkfdi1GHMjBVjIpHALbfcwnTyk5OT+MpXvgIAeO9734sf//jHiEQi+PrXv46vfe1ruPfeeyEIAq6//nq8853vNLw/wo4nXZ5MKCokn0yzoBQDfej86B2/36/qv7ARA3RBELC4uGiqC04r0lWKmkmlYBQ86fJ55u7ublbpp5sHLU/n5+fZjYSUAlpwOBxsggRdsGSRyC/t5QRIUytOnDihSqB64XA42Ih4l8vFzHSCwSAbFU5/53+SdjYYDKJSqTCDIbWbUKvRSlKnpT9fuKN98tpiPk3Dj1lvVrgz6rtgJtIdHh7Ggw8+qPi33/zmN+zfBw4cwH/8x38Y3r4adizpUs6WJ1t+Cb6RNmBKMcjnnPGmOlqv0wvejhI4EyFtRvRJ204mk4jFYggGg3VRM+UpjYK8ipPJJJLJZF2emabUiqLIyO7o0aOGtL0ulwtOp5NNazDyOiJKr9cLl8uFtrY2dHZ2NhCj2r/5n/zFTuoIud2fEfCCfp6EHA4HJElidQAj6oFm4DsVWwG1KJqX9Mm9F/hGl1QqhUqlglqt1kDEbrfbsIF5X1/fph1bq7FjSZe8VZXynRvR2gJnvjjr6+tIpVKqE3zVXqfnyy7v9BodHUUikTA9l40netp2NBrVNCcn+RARJB8V0nKRjxbL5TKSySSefvppdoz8stzo+bbb7Yxk5YY41GtPD95ZjC5oGtFD5ywajbLomN4f3Vj4/9NDEIS6mw/l8eWvIf/YeDyua7vNHvQ60tRSkUoURTZZg87NW9/6VnR2dprS1NK+Wh3p6oWaPaS8cEdevbSCi8fjTR3JdpLvArCDSbezs1O1553Iz+gXgyJPIiS9ZMvvV0tvK0mve9q6XK46o/WNGKDTBc1ve2RkBG1tbSiXy/jFL37BupbosVUqBDXwQv5zBVQPIGLg/6/0AKCa+vD7/UzCJveg0BMVb0XjwmYQulrhLpVKIZvNwmaz1TmS8QTsdrtZisuseuFsYMeSrhZsNhvLr+qVQfGRp8/nQ09PjyHCJSiRLrXVRqNR2O32uk4v+euMglpc4/G44rZttjPjzO12O7spAGeWZKTJVSOJarWKUqnE1AOFQoHlNeXPpZscX81X2ialJXifAD3kRAXDarUKQRDYQ5IkZphOlpHkTNVsu/L907nh/14ul5FIJDA8PNyUUPVAkiREo1HMzc1henqamco7nU4MDQ1hbGwMo6Oj6OrqYttUWprzmlqlguVOKdIpgT4Lt9tdZ2HJrw7K5TJWVlZw8803o1qt4t5778WRI0dw6aWX4hOf+ISuY9fjuwCckYw98MAD7HvF53vN4JwkXeD1FIPWkp3uqNFoFG63G8PDw2hra8PCwsKGW4Fp+2qetnKYaRqgQYvAmYGYSl1kbrebzYAiSJKEV199Ffv371d8L2rdadPT0xgcHFS8GZE5TbML8fTp0xgYGDBlKKQEWp6ura0xD9ZisajYbWVmjAxV7jfyfrPZLObn5zE7O4v5+XkUi0UAZzrh9u3bh/POOw8DAwOq31W1pbk8V0x5Ur4AmMvlNjVXTGh1c4SSekFeuAuHw3j00Ufx/ve/H1dddRVcLhdOnjxp6Dib+S48+uijeOSRR/Cf//mfCAQCDYNEzWDHkm6zE6sl3yKyjcViDct8wLwKgfZLEqdoNApRFBEOh9He3q75no3IzfguMjION5LTUpPFUdGoVCopdqeZuTEo7XszQctTtRHsJPky69lrJmKsVqtYWlrC7Ows5ubm2KRoUr6Mjo5iZGSETSs2WwRSMwsn+VaxWNQVFZuB2cksRrav570FAgFks1lce+21hkxu9OLee+/FrbfeylaPPT09G97mjiXdZlAiTj7v6XQ6FZf5wMb9F5aWllCr1TQ9bZX2yTuUKYEfxR4OhxEKhdggTqPgCZT3dOjt7WUj3rVeo7bN7QCeXOlmRMUzpckF8uq5mlm2GqjgMzc3h9nZWSwtLUEURTgcDgwNDWH//v0YHR1t8HVIpVKbfs7o2CnKpS443pmNyJif7aZHxsWjVqu11Ne4Vqvpss8kxYzZQloz3wXqbPzud7+LSqWCm266CR/+8IdN7YuwY0m32ZeCVzDwOVWaE6Y1lt1MkwNFn9Tp1d/fb+iC0mpy4ElRPopdb3OE0v6q1Sqi0ShSqVSDp4PaazYj0j0bRTxeysTfaOXOXNlsFuVymbW90neBlu30mebz+bqUAfnwdnd348ILL8To6CgGBwc1iaPVki5+21pRcbNcMd2U+BvxVhTq9GyfdN9mSFeP74IoilhZWcHPf/5zrK+v4yMf+QjGx8dxySWXGN4fYceSLtDc3lEQBBbZ2u12zZwqD4fDoTkJIZ/Pszt9tVpFIpFgS3IqXBm9mJSaHKhDTcnohn9dswhZDpImnTp1StXTQQ1q55siyc0w995KqAn8STqXy+VYuyuZGsViMdam7PP5mEUjdcfpxVaSrhK0csVExmpRcaVSYRF1K47BiNkNANXhnFrQ47swMDCAG2+8kQ0WPXToEF566aU3LumqQZLOmJdQzlYv2RK00gvLy8u47777FP9GWlOHw1GnP5U/nE4n7HZ73XNEUUS1WsX09DTsdjtKpRLK5TL8fj86OjqYZ4L8tfl8HoIgaO6PCkh8M4YkSRgdHTXUPql0k5MkCdlsFqurq2zOl7yTTGmiwXYGRcXZbBazs7M4ffo04vE467gLh8O44IIL0N3dzfLJRERGCldb0TFmBmrG6XxUXKlUmP+IPCLeDEMcI2Y3AAy3Aev1Xbjxxhvx1FNP4ZJLLkGhUMALL7yAq6++2tC+5DinSJcIIBqNMgkRSX2MQCu90NXVhbe97W1IJBKw2c50aBUKBeRyOeTzeVSrVcORJ4Gi2I00dqiBbzygyjaRg56bg91uRz6fh9/vR1tbG7tR0LI6FArB4/Gw5TpNVKaomqR4ZJ0IvN5Jtl1ywcVikaUM5ubm2AUdDAZx4MABjI2NYWhoqK6F14icS8kPolXYbEKXR8WlUgnd3d3weDyKrmRmc8UEvd4L2WyWNc4YgV7fhU9+8pP48pe/jBtuuIH97W1ve5uhfcmxo0mXIi8qGlCfO5lwVKtVU188pSIc7zWwZ88edHd3NyzJJenM6JxyuQy32418Ps/ImH7Sv0k2xEMURXg8Htb44fP5mDqB/0lOXqIoMke1UCjEPBzopyiKKBQKyGQyjASILFOpFLuAiBypS4v+L3/QtjebLGh1IH/whK8VxTscDhQKBbS1tcHn8+l+HXCmk21xcRELCwtsXI/H48HIyAhGR0fR29uLWq3GPHDl0Cvn4v0H6PnVarVlxahW63QpElVrblBr+ZVHxGpRsZFI14zZjV7fBa/Xi3vuucfw9rWwo0mXj2xJLUDSLLLgMwM+vcC7lzXLf9psNrakjkQimvsQRRG5XI5NMahWqygUCvB6vYygybZQKfKloojP54PT6UQ4HIbf70cgEEAwGGRE1NHRgYsvvrhBsjYzM4P+/v66i6UZ5ubmmA42FAqho6OD5XJFUUSxWGT/5yNd/hGPxxkx8qO3qTNLThZ0UyU9LkUm8n1s5g3hggsuwNvf/nYAZyKpZiY9SlAqXMkHbVLlPZPJNBj7yFMyRrHV88t4qN2I1Lx6laJiUn80w0YMzM8WdjTprq6uIp1OK0qzNjrrTBAEZjuod84ZvbZZekGSJDYu3eVy4ZJLLoHT6cTc3FyDUFuSJKY1lUfN09PTWF1dhdvtRjwebxisSPD7/YyQ6WexWGRjf+j3aks0IstcLoe2tjbs2bNHMcrXU0BcWFhguVCl88JHiJTXphUAnyuWa0wXFxcRCoXg8/nqSL5QKGB2dhanTp3SHI1DudrBwUHs37+/7m+bRV5KgzadTieCwWCdeoLyx0rpCb250u3YBtwsKiZnNkpPLS8vNz1+i3S3GOFwmCkG5DDrbUtLb8rNmjVBVwN1qEmSVFfgo+WXHDabjVXX5cLsxcVFAGckZX6/H5FIBE6nE52dnejp6YHb7a7LN+dyOcRiMaa+kMPtdjcQNN2AOjs7GdltRBSvpThRk3WpRUj8Up1IFgBisRjm5uZw6tQp1g0oh8dzxm95cHAQAwMDiEQiijfVVuddKceudMx8VGw0V7pT2oCVomJJkjA1NYXu7m7maax0/CdOnMD8/Lym8992xI4mXZfLpSrtMtpVJrdxtNlspobPqZEujQCvVquKkXkzX1wl/OVf/iVOnjyJ48ePIx6Ps5w2RXRkVB6JRDA5OYlIJILe3l44nU6cPHmyTkQvj6QptaF0fkkWx5Oz3++H1+ut+z9V9jcKpQiJX6onEgkWyVL3lxzt7e0YGhpiRMt7GzTD2ZB1ORwOVSkbrQC0inatTC+YMZMyAto2fY/4/fKud7/85S/xzDPPoFar4fLLL8f+/fvxta99TVfXmF7fBQB47rnn8MlPfhJf+tKX8PGPf3zDx7ejSVcLetMLvIzK5/NhbGwMHo8Hr776qqloQU661FpbLBZZF5laZG70JpHJZOBwOLB//37s3r0boihicXER8/PzWFhYwOrqKpaXl7G8vMxeZ7OdGR/t9/sxMDCAkZERjI+Psygrn89jdXUVkiQhEonA6/UyIl5YWEClUoHNZqsj6LW1NcWROcCZiJIImFp0Q6EQa9nlCVvvua5UKlhYWMCRI0cwNzen+Jz29nb09/ejo6MDnZ2daG9vr8ubtjoS1AOj74F8IOQrL6WiHVlGVqvVhqh4M943vZ9WQI3Q+ag4GAziO9/5Dj7/+c/D5XLhiiuuwOLioqHja+a7AJxZmX7rW9/CO97xDsPHoYY3LOnyZjdUreYjKS2LRi3Q6/S21hJ4JUYzLwDeL3dkZARLS0tsibpr1y7s2rULwJlROlSZn5+fx8rKCiRJYvrK+fl5/O///i8AoK2tDe3t7WwEzvj4OEsvdHZ2orOzk02WVYokRFFEOp1GoVBgKg0+tVEoFLC6usqaDZTOG0/CRNSBQIBJ1I4cOYLTp08rnpdAIIDzzjsPY2NjDakCPj1RLBYVlQRExvLPezuQczMoFe3W1taYU1e5XN6Q/4Qc26UbDTizgjx48CA++MEPtuS9fOMb38CnP/1p/OEPf9i0be5o0m1mIKM0YFLuvyA3u+Ffr7eCyqNWq6FUKmFmZgbd3d1NW2v5Y1EyoeHfdyaTwdraWp1frtYUCI/Hg8nJSUxOTgJ4fcjiwsICpqamkEwmWXRdKBQYMU5NTQEAU0WEw2FEIhE4HA7VpRuRZjP5ztLSEnw+H2w2GyNn+SOdTuPUqVOa6Zb29na8+c1vxvDwMLq6urC0tMSiZzmapScoRUHm2TwhkX1kK9BqQne5XHWdWpvlP7EVDmN6r7uNGJg381344x//yMx0LNLVAfLkpGiV5GUUATTzXzCaEyZpWTKZhM1mM9RaS6D3K/9C88W3/v7+uu46I94LHo8HExMTmJiYwOTkJEqlEpaWlpDP55FIJLCyslK3LUEQGtITwJkGkUgkwsiY5Gp6W09pUm8oFALwevS+vLyMpaUlpismOBwOhEIhXHjhhZicnFQ1rzcCJSUB3/5bLpeRyWTYhGe5mmAjDl38/rYyX2zWf4J/uFyulpOu0VE9rfBdyGQy+Pa3v42f/vSnhrfdDDuadPXYO1LHGFWxeX/YZq/VQ2b8OPb29naMjo4azi2p7ZM30VFzLDNagKMcdjqdhtfrxWWXXVY3O21paYnlhJeXl1kqgPTAbrcbbW1tWF5erpt/5vV6GZH29PSwop3P52uIWkRRxNLSEiP05eVl1izi9XoxMDCA/fv3a6oKWgE+Z0oypFQqhWKxiI6ODtVGB15fa9SdbDu0ATfzN4raUAAAIABJREFUn6AbEEm5qIBNDTab0fZr9r2bjXSb+S6cPHkSsVgMH/rQhwAA6+vreOKJJ5BKpfB3f/d3hvfHY0eTbjPYbDYsLCywLrVmnrY8mknO+AKc3+9nE3xJpG8GRLo01jyfz6O3txehUEhTiK43F0zpCbfbjfb2dvh8vrqijMvlwtjYGMbGxgCcIeHl5WVGwktLS8hms0gkEgiHwzhw4EBdg0I6ncb09DROnjwJ4PVR6Z2dnejq6kKlUsHKygrW19fZOers7MTExAQGBgYwMDBgSFWwVaDJGVrpCRo/Lk9PUPegWsrobBreaEHpBgS8nrtPp9OKUi6SFRpt++VhZOKLmUhXj+/Cm9/8ZvzpT39i///iF7+IAwcOWOoFNVBkKwgCOjo6EIlETAm5lciTL8B5vd6GOWob8eIFzmhvy+Uyent7MTAw0DRyapYLBurTE+QhTAoFLbhcLoyOjrJJuNQ9l8/ncerUKRw7dowda29vLwYHB3HJJZegra2NtWXHYjGsrKxgdnYWdrsdHR0dGB8fR3d3N/r6+tDR0aFqjLMdoHZe9aYnYrEYa3+Vpye2M+mqgaYuu91uZr6u5T/BrwL0Fu30km65XIYgCIabI/T6LrQKO5p05R9esVhENBpFqVRCb28vbDYb09wahZw85Z68agU4vZEnD1EUsbCwgGeeeQarq6sAziyzeakV/aR/t7W14d///d/ZNh566CE2uXhsbAx9fX3weDys7z0SidSlJ8z48DocDiY3GxoaQnd3N1KpFObn5zE/P49XXnkFR44cAXDGV3ZoaAgXXXQRJicnkcvl4PP5EIvF2PtXWro2M4nZztCKDqmxg09PAGcIwO/3m0pPaKHVqQt+22oNDrxqJJ/PI5lMolqtNi3aGbV1NBrp6vVd4PGNb3zD0D60sKNJFzjzgRPZFgqFOnmWmm+BHlB6gZoH9Mw5o/ejV25Wq9WQSCTw5z//Ga+88goEQcDFF1/MhkCS1IqOTa3Nl1AsFnH8+HEcP35c8e8ejwf79u1DX18fRFFkMjE9GtlCocDUDkNDQ4xUgsEghoaG8Na3vpWtMJaWlrC0tIRjx47h6NGjGB8fx3ve85665aZW55mcnPiLlCKnVhZyeGwGeampJ+bm5uD1elGpVBSLV3SsZpbprSx26ZGM2Ww2Tf8JavBQSssUi0V4vd6m594s6Z5t7HjSXVpaQjqdbpioAGxs1pnD4UC5XMbp06chCAIikYjunHAz0qUUxdzcHF566SUsLy9jcHCQTRxQ+xKRlwCRMf1cWFiA0+nE2toaM9dWQrlcxtGjR3H06FHV53i9XvT19bFHMBhEsVhEtVqtI1o6jlqtxs6x1+vFyMgIhoaGmDzp5ZdfxtNPP437778fV199NXw+H3uN/MJVIye+sk6j5PkcIjU77CTY7WemFQeDQRYhytMTvA+BkvdEsxz+dijSyaEnLUPmR3yhTsl/wSLdswTK2SoRnFnTGyoQCIKA/v7+hgGNzaCW1+UNv+fn5/HSSy+hVqvhqquuwpve9CY2W00NVJiS57A6OzvR0dGB9fV1tLe3IxwOw+l0smVdNpvF8vIya5TQMuQplUqYnZ3F7Oys5jGSk1o4HMbExATL+9L7BM5Uhi+55BKMjo7ioYcewoMPPog9e/bg8ssvr/NKoLw0rRLk51Kpss7nEJPJJIrFIlZWVuDz+RokTts1PSEnRrX0hJpNpNYyfSvTCxuF/LjL5TI6Ojrg8/lUXcleeuklPPHEE+jo6MDRo0exb98+3eSrpwX47rvvxp/+9Cem1vnSl76EgwcPbsrx7njSDQaDqkRl1PSGVw20tbXBbrczLakRKJEujTXPZrN45ZVXsLCwgOHhYVx//fVsH0aLcNToQbK48fHxugiCIoru7m6mSCAQUYXDYabCoMaJWCzWdN/lcpnlcv/v//4Pn/jEJxSLD5Tve9vb3obXXnsNJ0+eRD6fx/XXX88+O4qYAegiYqUc4sLCAtrb2+FwOFAqlVTzxHqiRPk5PtvFLj3LdHl6gr4TtMzfzGPYqo40LVeylZUVFItFlEolfOITn4AkSfj617+OD3zgA7r20awF+B3veAfuvPNOuFwuPPHEE7jtttvw+OOPb/jYgHOAdLW+TA6HA5VKpek2aEBjJpNBd3c3BgYGkM1m2fLFKHiy570XEokEnnvuOUiShGuuuQYXXXRRg+mNXtIlL14SvPf19RlyW6KCn8vlQjgcRm9vL4aGhjA6Ogqv18sUH+vr60gmk0gmk1hbW0MsFkMul2swwvnNb36D7u5u5qtAkyQKhQKcTifGx8dx3nnn4dixY3j00Udx//3349prr8Xu3bvZNngC5tMWeomYiInPEzeLEvnq+lbliQkbIfRmy3TyxUgkEnWGOHS8Rlt/eeid1GsWerx6Dx06xAyOfv3rX2N6ehrj4+Ob9h6uuOIK9u8LL7wQq6urm5Yn3/Gkq4Vm6QXeoDwUCtV1kW1E+kUG3YuLi8hms/B4PHjxxRcxPz+PsbExXHvttejs7Gx4nZbtIYFvmKA88+zsrOH3yu+LN7kZHBysIy1qcqDtU441nU4jFoshmUyyBoL19XXMz8/XEbLD4WA6XSLjq666Cs8++ywefPBBXHTRRXjXu97FJj3Qawg8EfMRsSAIjDTodUrnQC1KVFu2yiVO2yHS1Qt+mb66uoqBgQHWIGRGRaCG7dKRRl66bW1tOP/88w3to1kLMI8HHngA73rXuzbtmM9p0lVLL/BdZGoG5Wb9eGmS6urqKrq6upDNZvHwww/Dbrfjuuuuw/nnn696oWkRPRno5HK5hoYJPWQth812Zr7b/Pw8isVig6RMXiTjI0wisYGBAQCvkxhFkplMhhmskAF7PB7HzMxMw/H9+c9/xuLiIj7ykY/UpQv4cwI0EjEAprPMZDIolUro7OxkXhQ0D47fBr9NrTwxvWfSmjqdThYtajU7bBfIJYvNbjx8ekKPX2+rPSP0zkfL5XKmDMz1jF4n/Pa3v8VDDz2EBx54wPB+1LDjSbdZeoG/yHnPXL6LTM9rm4EnchKQP/7441hcXMTExASuvfbapol+pakTgiAgFoshlUqhq6sLu3fvVhzDbtQnYn19HYVCAeFwuE71wUeVdHHpucAogqLmB7vdXjf9oVQqsRwc5SKpyEcXvtpnIQe9V0rdAMDQ0FCdMoJ0ojxB6M0T0+ckSRLW1tbYuSWd9mYt11tFXno+t2atv6VSqcGvl46VX2W04r0biXTNzEfTM3odAB577DF85zvfwc9+9jNdHr16seNJVwuUXiBDlVgsBq/Xi7Gxsab5T71EJm8HHh8fx1NPPYUjR47A6XTihhtuwIEDB3RLzShiJQ1vPB5He3u75rggvZEuv00a4tjb2wvgdY9UnqiaffGpYYQ/r3xbsVrOsVQq1T2AMx4HpVKJvUZLdUA5eLpp8FI++XtWS0/ozRPTDbSrq4v9XsupS56e0DqHrSZdo9Cjnsjn8yiVSlhdXUUymWwoUG60uUPvdw84Q7pKaTot6B29/sQTT+DrX/86fvrTn5oaZqCFHU+6Wl8um82GarWKqakpuFwuDA8P6x7EqMePN51OY21tDR6Ph7UD/+53v2M62Msuu4y1Suo9FlEUmV+u1+vVjMb512ndIPj36vP5MDExwWbA0d8pQuRJSAvUtEHOZ3qcv/iLmo8mBUFgBEzvs1arMQLmJyAnk0k2JHRycrLpxdksT9ysYKcEreU6fxzykUK8Z28rdcWbTeby452bm0NPTw9bzRhNT2jBqNnN8PCwoWPR2wJ8xx13wOVy4XOf+xx77c9+9jNTaiY5djzpKoHvIiO/AT1DE3loaW1p2zabraHwtGfPHkaaTz/9NJ5++ml4PB4MDg6yR39/fwORSpLEvryVSkW1zVjtvapdxLzKgd8mRbT05QOgi2wrlQpisRjr/lNyPjMCUl+Q3SOBJ2Ky5KRcXyAQgMvlYikJowUOvQU7mnBMvsXU0MBvg9+m0nKdz5vKPXuBM2mZjZjDKKHVOVfKc3s8Ht3jhPR6MLTaYUxvCzCZ+7cC5xzpkh5WFEVEIhHMz8+b8l+gJTv/JeDnnKl1qE1OTqKzsxOlUgltbW1YXFxkbbFPPfUU2zZJtAYHB9HT04N8Po9KpQK3242JiQlD71cpvUD5zlKphL6+vrr3Ss8tlUpYXFyE1+tlTQVqlpSUs06lUgiFQujv729pBdvpdCIQCMDhcCCXy8HpdLJqPOWHaSwNLevpYcbDgCdiSkdRaoeaY+TpiWYFO5vNppliyefzGzaHUcLZUhfwKxkezYzT+ePeClvHs40dT7r0pSQpVblcRjgcZhcKpQmMfgnptbVaDdVqFWtrayyHqDbnjECRJ0mkqJOlVCoxo+7FxUW8/PLLePHFFwGcGZdDBuVtbW2qXXZq++OlVGtra8hkMg1jgvhIjmwcaYRNLBZj4no5gdEU4UAggPHx8S3xtxUEoU6twXcFKrUJ88v6crkMl8vVcBx6PI7ppu1wODAyMtKQ++elc3xEDOjPE1Pu0263s3whRfZyYlJq7NCTa29lpGuU1PWoJ6iZha65RCLRND1h1sD8bGPHky45dJH37MjIyKb5L9hsNiwvLyOfzyt6O6hBLTVBOdqRkRGmcQXOVMWpG4z8ERwOB/r7+1lKQovsKKcbjUaRSCTQ2dnZMLlCXs3nxfU00oVkU0Rg0WiUzdXy+XxwuVys8NUq2RQVJknONzk5qXnz0VrWE4nF43GUSqW6Y+bzxJT7p+KcltG9WlSrVbCjiJgnYjkxUmSvNXo+lUrpMk/fivTCRrev9rmtr68jm82iVquxVQCAhjwxpZ3MqBfONnY86TocDvj9fgwODioSohn/BVEUEYvFIAgC7Ha77jlnBDXSpTv4/Pw8Dh8+jFQqpfkeFhcXsbi4CAC4+OKLcc011zQ8T5IklEolplmcnJysW96p6W2VQLIpKrxRs4TH42EX/vr6OiNeOYFtxOeAz5V7PJ4GJYQRNFvWy4+DGgj8fj+Gh4dN2UkaLdhRp6QoiqrV+maz3Yh4+BWK3F5xs8nXqG2pEdDq0uPx1KlqRFGsWwU8//zz+OIXvwi3240f/vCHOHz4MOvwbAY9vgvFYhF33HEHXn31VTgcDtx+++11HWobxY4nXZvNhu7ubtVCkpEmB7lMy+v1IhQKmZ4ITCBXMcoHP/vssxAEAYcOHYLD4YDD4WA5w/X1dZYvpf5zm82GkZGRhv2QeU6tVkMgEKir5BohWwJpgrPZLHp6eurSKHL9qpbiwOfzGSJiyj8LgsCsMzcbSsoJmqThcDgQCARQrVaxsLCgqJwwk19VImJSp9CKRJ6ikCSJfeb8NvhtKq1Q+AJWoVBAuVzGqVOnGtITGzUAotRCqyJpeeqC2rv5VcDAwAB+/OMf49Zbb8WePXtw4sQJANBFukBz34V/+7d/QyAQwGOPPYbZ2Vl87GMfw6OPProps/mAc4B0m0FPeoHIjsaak0zLTHstUD+JmCrvdAf//e9/D7vdjo997GMIh8N1r6tWq5iZmcG+ffs0t086yUqlgr6+PlSrVTZjzAzZUtMINTc0W9KrKQ54YT0RmhaBURt2JpNpIPlWolKpsFZqyqPz4G8ouVwO8Xgc1WqVERefJzaS26Rpyw6HA2NjYyzakqcizBTs+AJWNptFJpNBOByuK2DF43GIoqjY2KH3ODbbYUxp+3reS1dXF4rFIm699VZDskw9+N3vfsdMy8fGxnDgwAE8+eSTuO666zZl++cE6Wo1B2ilF0jcLx9rTjDrv0DL1dOnTzMVxfr6On71q1/B5/PhpptuUtT7NdsfFfSy2SzC4TCbJ5ZKpepytno7yej4o9EofD7fhpb0gLIxuVz6RWkbp9MJQRDg8/kwODhoesKHEdRqNcTjcdbdp5aS0sqvmlFOUFEwn88rzurTyhObKdgRSWsZxSsN2ZSrJ5RuvLTtVqFWa27+D5xRLgCoGzGvF818F8jfmtDf388mumwGzgnS1YJaekFrrDnBTD64XC5jdXUVgiAwpcP09DQefPBBdHZ24qabblLtF+cjZP69iKLIxruHQqGGHLPNZmPLfL1LYX5CMpFeKyAnMNINkzewIAhYXV3dlEhSDfyKo62tzZQCQ8tgXU05QS2z6XQaHR0dmJiYMFwbMFOwozyxkeNQsomUNzp4vd4tkaPp+Wyy2SwzKDICI74LrcI5T7ry9IKeseYEI5EuRTPpdBpdXV3I5XLo6urCK6+8gt/+9reIRCL48Ic/rEluFLUQ6fJpj0AgoFok83g8CAQCLGrVyq2ScQ556RqZkLwRkFdxuVxGJBJpuMnVajVGXmqRJGmJjVz0lC8WRXHTby5ayolsNotkMslWHtlsFtVqVVE5YXSfgHrBrlgsIpVKsRw1/zq1gp2aTaR82CQ/LopavzfbKF6vvDOTyagqTLSgx3dhYGAAS0tLrPV7ZWUFl156qaH9aOGcIF2tE09jd4yMNSfoKcLRkpWXajkcDsRiMbzwwgt47LHHMDIygg9+8IO6DF1I/kWRuNPpbJg4LM/bOp3OuvywWpGLjoeKbmaq9EZBUXo6nUZ3d7fqkt5uVx5zrhRJ6lnSkwJlq/PFJHmjFBAtf9WUE5uhAKHPNR6PI5fLIRKJsKIPb15kpGBHSha5GiKTyWB9fR12u70lA0X1RtK5XM5wwVWv78K1116LX/ziFzh48CBmZ2fx8ssv49vf/rahfWnhnCBdLZAUiS56PWPNCQ6HQ3W0DR+Fyh3LJEnC1NQUTpw4gV27duF973ufLmE+cObLPj8/D1EUG4Zg6i2S8Ut63uyHyGqzq/Rq5yeVSiEWiyEYDGJiYkL3OSAoRZJGlvTt7e2m9msGJLOLRqNMusd/z8x6TjQjML4uQcfL71fJElOeKwbq88RaBTu73Q63243u7m72+80cKKo3p0teukag13fh05/+NL74xS/i6quvht1ux1e/+tVNVdTYmhhv7Ihpf6IoNkwyoDs/WS1OTk4avvhopA2fVOfzg06nE319fQ1R6BNPPIHnn38e5513Hm644QZdXyKqqKfTaTbJQU62Rotk1F3ldDoRiUQa8l/8RU8PURQ3TMR8V5fSfjcb/JJ+fX2dnSfK+cmX9JsNUpNIktTwfTAKvjONPhO1fHe1WsXq6ipEUUR/f7/p/fIkzBMxgS/YZbNZFIvFpooBeccZWXrKB4rKOwVnZ2cVvUnk+P73v4/jx4/jvvvuM3XMWwDVC+aci3RJ/kQR1sDAAJLJpKmLTZ5eIMmPUhRK+37kkUfw0ksvYWJiAu95z3uaEi4tg9fX19HV1cWiIZ5wjdgtAmDdZNVqFeFwWHVkvFKVXkltoJeIKV9cKpUQDodN5dzMQBRFJJNJ5PN55olB74eOJZFIqHalmW1r5lMn8lZls9CrnKBOLdLr0vfEjLWi3oKdJEkoFAoAXp/coZUn1jNQlDoe+VWK3AdZCTvVdwE4h0iXlrNkiUhDGil6MwMqwpXLZTbnjPd14CEIAh566CGcOHEChw4dQl9fn6Z9nyRJSCaTbDlKfrm5XK6hkwnYeHODXqhd9HTB80TMRyz0N0rhtLLCTeCNaZTUARRJKTURKOVW+cKjVpGLl9pRaqmVKQxecZDP51EsFuH3+xEKhdhNkvKrvOcEP+nCKOQFO4rmbTYbwuEwqz0AqLu+tAp2anliPrqv1WpYWVmBJEl1+WH5jd5MemG74Jwg3VKphNOnT8PhcDRYIprV2gKvV9RPnTql6b1QqVTw61//GqdPn8aVV16Jt7zlLYqjaYD6Mexut7thgi9pfCld0ormBqOgVmv+vJLtYSqVqmtnpqGVRGKblSOWg+a6uVwujI6O6i5SquVWaapFsyIXjWJqhRpCC7zWt6+vT5Fw5J4TuVyuqedEM/DaZqVoXh4JmynY8XriZDKJiYmJBj1xMplkzmQ//elPsbq6is7OTszMzGBsbMzQ9/0HP/gBvv/97+Ohhx5q6Ew7ffo07rrrLmQyGVQqFVx//fW45ZZbdG9bD84J0nW5XKomJWa9FygfbLPZGsxjeJRKJfzyl7/E8vIyrrvuOlzw/9u79qiorvO7ZxhmeIM8BUVALeNb89PERk2sWiVVUFNNolWTWhNru2JjW2PUpEIRpUYbJYkmZiXmoVaNTarWNNGmqV2mSayPoOBjUEREAXk/hnkxzPn9Qc7Jmcudy7wVmL0WS+EwzL1w73e/831772/kSADiwZ6WJywWC+Lj461uHHqxKpVKlJWVWdXwKFVKeG7uFjc4AqPRyEa1U3YFzYj5uWg0AAvrkc4GYioQcVcJg7/p+e0qnxHTJhfd9gYFBSEyMpLZQHraXIY2JOkD1dYuwlHPic6YE/TBplKpbHKbbVHY6L9SDTtheYKq3aj0V8yZzGAwIC4uDvn5+SgqKsL06dMRExODEydO2JXRX7x4Efn5+VZ9Gh6bN29GWloaFi5ciJaWFqSnp2PixIkOD76UQrcJurbqO7YEB2KgW346eicpKQm3bt2y+cfUarU4cOAAamtrMWvWLCv5Lh90aXZEHaz4bEGYJcTFxSE2NtaKs0qnt1LTaHpT1dXVQSaTeTXjkhqVYysj5gNxbW1tB76qPYGY+mLQyc2eLmHw2VdzczMMBgOCg4OZoEMoq3XXQ4WH0WhkW20xm0l7IJXd22JOKJVKVnulXsyOwBknNvovvW+kaIW/+tWv8MUXX+C3v/0t0tLSUF9fb1fANZlMyM7Oxp///Gc8+eSTot9Dm4VAe0Ilk8msRjW5A90i6EqBPkmlqChCOTDN3Mxms83SRENDAw4cOACtVovHHnsMKSkpVuu0TFBRUYGGhgZERUV1KE/YapLJZDJRzir1AqBSWlojo1shT27n+aBn76gcwLFAzD9UeMcsylkOCOg4h82ToA/L1tZWNn1ECKlz4evEjgTizrb0rkLKO6O+vh719fXM77e8vBy1tbVuUQpKCTuoiEWlUqGtra1TqbNWq0V4eDji4+OZ4KEz5OXlYebMmZIzz9auXYtly5bhL3/5C5qamrBq1SrfjDQxdHZB0hKDWNClWyhC2sf68A0kyl4QZsk1NTU4cOAATCYT5s2b12GrQmWVdHCemLeto00yWgumirfIyEh2sdrKIukN70og5ily7iph2ArE1FCdPxd63OHh4YiIiPCKgTr/gImKimIeF46eC+Wt1tXVwWQy2SVzpjJpOsvOGxxjAIx+ZjKZrGYJuuI5YQ9kMhnrR9DmL18bFsuILRYLGhsbHeLOfvvttygsLMTKlSslv+/AgQOYNWsWnn76aVRVVWHRokUYNmwYKxu6A90i6HYGsbouP84mLi5OVA5MO7F80K2oqMCHH34o6hRGCfLU0yAyMtKKz+hssKUdejGRgVQWKWQa8FmkPYGYSqYtFovNTM9d4Dv0dDRQfX09wsLCoFQqYTAYcPv27Q6cVVv1bmdBHzCUAeNMkJfyadDr9aLBy9/fHy0tLWhtbRV1PvMU+Jpxr169OigGnfWcsIcXbTAYUFFRAblcbvUw58tV/HsC7UMx169fD7PZzDx37cHp06dRXFyMKVOmAAAqKyuxZMkS5ObmYsKECez7du/ejc8//xwAEBsbix/+8Ic4ffq0L+iKQcppjK+v0pqk2DgbqdfK5XKUlpbio48+QkBAAObPn2/lFMZnzH369EFLS4vDSjIeVElXVVXFHNDsqelJbeeFlC8+U6GTIWQymeSoHE9CSMUSE7TY8mgQZpEBAQEOHTNv9+gJT19b6jqDwYC6ujrU1taya42KZPhzcScbhYLWjAHYzQCxdS5C5oQUL9rPz489VB25vv7yl7/g9ddfx8iRI3H8+HGHJgEvXboUS5cuZZ9PnjwZb775Zgf2Qt++fXHy5EnMnj0bWq0WZ8+exeTJk+1+H3vQbYKuFKic986dOzadumyBlhhKSkpEncJ4Di+fMev1elYT5ht59lxcvKk31dG7EvTEArFQBEGNcvz8/GA2mxEUFITExESHg5ez4FVdUo1BWx4N9gRise08T7eTsnv0BGigl8lkSElJYVM7+CySNvF4dV1nQ0Q7A18+cZcvhb3MCb1ez66z0NBQdm9KeU6UlpYiKysLRUVFWL16NebPn+/Wa5KXAOfm5iInJwe7du2C2WzG9OnTMXHiRLe9F9BNZMBAewYr1vSyWCwoKSmB0WhEWFgYYmNjHapJXrt2Dc3NzTh+/LiVUxjvKhYdHY2oqCirm7W2tpb5PdhLUG9tbUV1dTW0Wq1XTVpoVl1ZWQmFQoGgoCCm5rJYLFZlCTFqkStoa2tDVVUVmpub3ZpV84GYftDtPD0fak6jUqkQFxfntQYdr2TrzOkO6Di7jn4Ih4jac53pdDpUVFRAqVSid+/eXqmRA983B2l2q1AorB4ulDlBH5SNjY3w9/fH559/jh07duC+++7Dhg0b3N7U8iBs/kG7bdClW1VqPhweHu6Uw/zx48dx7tw55hTm7+/PRvqEh4cjNjZWtElGZY50u+Xv789udqFFoVDcEB0d7ZHtpBiEWbXYFAUqHKAfhJAOpQlHbQr5WmJYWBhiYmI8fs7070INkGijzlX7SEdAhTHBwcEdrh1HwGeR/N/HlhDCYrGwkpHU4E1PgAZ6lUqF3r17i56z0HNi1apVuHTpEmQyGQYMGIBp06bhl7/8pVO0ubuE7u+9wF9AvEG5sL5qLwgh+Prrr3Hu3DkkJyfjpz/9KVpaWpgQgXcVo9/P122VSiWjstAtI705GhoaWNbl5+cHg8GAgIAAh+pqrsLeUTkKhQKhoaEdqEX0Jm9oaGAPNnultFQkIpfLneafOgOZTMZcsCIiIhAdHQ0AVt15/m/jzkDMswPc0ZS0xb8VE0JQNoBSqURMTIzXft800Dc1NXXK96Xy88DAQOzZswfXrl3D6NGjMXXqVFRWVqKoqAg6na4rBV3tBNnoAAAgAElEQVSb6DaZrtlsZs0sapRNt210xpW9fD7eKSw5ORkPP/wwdDodZDIZevfubXXDONMkA75vvFEvUrPZzOqQQq6qOzMSng0RFhaG6Ohol2lJPNmez7oAdAjCdXV1osIKT4N3XOvdu7dkKUHYndfr9aI0qYCAgE4DMRXc1NbWMqqft2rGNNAbjUbmPyHczos1Ut2BlpYWVFRUIDAwEHFxcXZdY9evX0dWVhZKSkrwwgsv4LHHHvPa9eEBdP/yQmVlJSorK9mIHP7Cpje6PfUg3ils5MiRSElJYRxeofsXzyW0N9hKTW6gdUg+cJnNZqfoXmKgOwAqm/ZkVi30NGhubobJZIJMJkNwcLBVVuxJLqrZbMadO3eYGtDZbbUwENOtsFQg1uv1qKiosCvQuxN86YZm9MJA7ylbT1qj12q1Nj0ixF6ze/duvPHGG7j//vuRk5ODhIQEh8/7HkP3D7r06S1WF2xsbERjY6PoGHMevFPY8OHDkZKSgsDAQFZ/oxAqyey5KPnmiSMZD0/3Et4cfI1Yqqba2agcT4IP9LGxsZDL5VYZJF+HFGbFroDP6G0FHldhKxD7+/uzh05kZCSioqK8VqOnM/qov4cj23Gz2WxVaqEPfXsl21qtFhUVFQgJCUFsbKxd51xcXIzMzEyUlpZizZo1mDNnTlfObnl0/6ArZmROQaWzQqkuj9bWVnz88ccoKSnB0KFDMWbMGMTGxqK2tpZ5IrhD3EA7t65AuJWn49eFgUsul1uNyrFnRJG7QOlQnQV6Ww0hYWc+MDDQ7sDFjzrv3bu31+rk/PQIWm+lTllUOCD8+7jzvWtra62UXe4IXrzYhn4IBSpKpRINDQ3Q6/WIj4+3q15tNpvx/vvvY+fOnXjwwQexfv16t49Sv8voWY00ITqbdUYIweXLl1FSUoLk5GSkpaWxraBcLofJZGIjPuh7eUrcYA+EnrfCmmp9fT10Oh2bnhAREQGVSmX3/ClXwHNA7eG92moIiRmQ00DMBy4+EHc26tyToD4NZrMZffv2teIR89xbvV7fQcHFN+ucyYj5MoazKjpbEON483S8pqYmZmyuUqnYuUk9WK5du4bMzEyUlZUhOzsbjz76aHfJbu1Ctwm6UhBOBObBU3gGDBiA69ev49atW+jfvz8rHzQ3N1upcDoLXO4WN3QG3sBELpdDq9VCpVIhOjoahBDo9Xq7A5ezoB4NvIm8szc/b3bNG5Dzgbi6uhpGo5GdD9DevBGbE+ZJ8BmmLZ8GXjgQERHBXicmguADcWd/H374Jp2Y4Y3gReekUY/bpKQkBAQESA4RLS8vx/Xr13Hjxg0cPHgQ48ePxxtvvNHdslu70G2CrtTFJua9oNfrmYMULfgnJiZiz549OHToEBYtWoRevXqxbbHBYEBNTQ2MRiNTBwm3iry4wZvyWUB6VI5YBkklwfyN7uzWl6ryzGaz3dtLR2ErEDc1NaG6uhoWiwX+/v5obGxk1CJXM8jOQBko1IzekYeMLQWXvYGYllC8MbmCB+/IFxERYWWxKSUNPnPmDPbu3QutVguFQoGGhgbcvn27RwbdblPTpQFFDBaLBZcvX8aQIUNYN5sGRmFm0tDQgA8++ABKpRILFizoIEcVbhVp84Tq5oOCghAdHY3AwECvBFzeBtAZSpKt86EZCm9NKPy5fHPQmwo6+t5UycaruoSBS6/Xu72mypcxPC00EDsfSscLCgpCSEiIW3csUqAUNEq/tGcQpslkwrvvvou3334bEyZMwG9+8xtUVVXh8uXLmDZtGgYOHOjRY76L6P6NNKmgCwCFhYWIjo5mJthCBRTfJLt9+zYOHjyIPn36YO7cuZI+vLRxolKpEBQUhNbWVuj1emaxyDMM3MmDpO9dXV2NoKAgxMbGuq2Wx3fl6U0u9DIwm82or69nnWpvZlr8qHN7uuSdPVjs5d3y7+0tFZ3Ye4eHhyMsLMwqGPOlFk+Ujuh79+rVq4Pk3RY0Gg0yMzNRWVmJl156CRkZGT2pdtv9gy4ANiGVB2UPlJeXIywsrANf0hYjobCwEJ9++inuu+8+/PjHP+7wc6k6DQDi4uI6ZMRCqhc1+uCDMPUxcBQ6nY7ZR7o68tte0OYJ9fSlvy9+G+8Kh9ge8KY4rp4370Vsi3fLK9F4Kpa3fucUJpMJFRUVkjQwYelIGIidYYEA7dltRUUFG/NuTzPYZDJh165dePvtt/GjH/0IWVlZVpTLHoKeEXRNJhOzd+TNtxUKBUwmEyv40/XO6F///ve/cebMGUydOhWjRo1i70FrpzExMQ41L3ixAP2X1vb4YGzrpuBH5cTExHRqlOJO8JOG6XZe6O4lJNjzDxZXjtMTo87FYEuJRktHISEhiIyMdDvdyxbsadJ19npnjXJ4qiPlGtvz3leuXEFmZiaqqqrwhz/8ATNmzHDomDdt2oRjx47h9u3booMjxYZK5ufnY926dTAajejTpw82b96MqKgol9bcgJ4VdGmTzGw2M2/U69evszqUvUoyi8WCjz/+GKWlpZgzZw4CAwMdFjdIQYqjygdhpVLJxqh4iugvdYy8bLizLTWvdKLnJHQqs9cgR+iv680yBvA92V+pVCI4OJgFMHf493YGT6nZ7AnECoUC9fX1kMlkiI+Pt4vnbDKZ8Pbbb2PXrl2YPHkysrKymLeFIzhz5gz69OmDBQsWdPC7vXjxIrZu3Yrr16+zNYvFgrS0NOTm5mLMmDHYsWMHysrKkJub6/Sam9D9ebrA91shytPkGzvUJ1ZsJpktyOVypKenY/fu3Th06BCmT5/u1k6xFEeVnzDQ2toKuVyO4OBg+Pv7Mx6kp7NcXmRgL89YyCEGbBvkiAViCrqd9/aoc+B76TAl+wud1zrz73VmLhr/s6urq9HY2OgRGlhndDzqeSuTyeDn54fq6mrJjBgALl26hMzMTNTU1GDLli2YPn2608c3ZswY0a/bGipZWFgIlUrFXjdv3jxMmTIFubm5Tq95Gt0q6NKsJCEhoUOTTC6Xo7q6mjkZdcYu4MUN48aNwxdffIFLly512O64G/SmsFgsaGhogFwuR2JiIvz8/DqMevFUPZUvY7ijOy8cgij0ZaA1dyoHpkEtKirK7m2tOyD0LIiPj5ecSmvLSF2n00kO27R1PndrPho9nrq6OsjlcgwYMAD+/v5WuzDhJIibN2/i6tWrKC0txZEjRzB16lR88MEH7tyeW8HWUMmKigorn4bIyEh27zi7RrnUnkK3Crr9+vWzGtnD121jYmKg0+kYsd5gMFjRovhZW1Tc0NbWxiSsCQkJkuwId0FqVI7YqBexETz2ejIIwfv6OjLx11HwYg6a4dMLvrq6GgqFAkqlErW1tWhoaOjgQ+wJxoDB0D6vSyaTOaUeFAvEtoZtChtbcrmcmSB5YlSQFPi6sfB6k7KOvHTpEvbv388C9Y0bN1BUVIQHH3zQ7cdo71DJroJuFXT56b3CJhm9gCj47jWfPdKmiZDpwM9D8wToFIPa2lqEh4djwIABksFF7CbnpcCNjY0dtvFSrl7UmEapVCLZi2POAetR53379mXiCr7UQiWnnRnCOwp+O+/uJp3YUEfey4DupNra2phvMQ3UnmSBUBgMBpSXl9stH6Y86Pfeew8ffPABpk2bhhUrVqCiogKXL192qoZrD6SGSsbHx6O8vJx9L30I0J2KM2ueRrcKunyw7axJJpPJWIYbHh7OnvbBwcHMqOTmzZtsSoIwe3TnMdOAp1KpXDIyt+XJQIOWmBRYoVCwKQpikyM8ic5GnfP1RwopQ3jhWKHOghY/Wt5b23nqZUCn/yoUCiQkJLAdlq3Boe4sH/GCGnvGBVEUFBQgKysLjY2N2Lp1K9LS0gAAycnJHslwKaSGStId35kzZzBmzBjs378fjzzyCABg2LBhTq15Gt2GvUAIwZNPPgmVSoVhw4Zh+PDhGDp0qKRbvVBgEBMT0yHDE7IL9Hq9VdCiN7ozmZbBYEBVVZVXAx7NHnU6HRoaGpi6iQ9anh5ZA1iPOo+Li3NJ2MGPN6dZpJQhPB1SajQaO5jSexpCU3NbNeu2trYOY5LcQcfT6/UoLy93aEaawWDAm2++id27d+MnP/kJXnrpJURGRjp03vYiJycHx48fR01NDXr16oWIiAh88sknVt8jnOR77tw5ZGZmWlG/aNbt7Job0DMoY//85z9x8uRJFBQUoKioiJlxDB06FMOHD8ewYcOgVqshl8tx69YttLW1QS6XIzY21u7uuJCETmWmYkHL1s1g76gcT4DnL1MlGx0SSM9HLGhR6pqrx8mPOvfkg8aWITxlsQQHByMmJsbtkzmkQOvGcrkc8fHxDpdwhMbjVHAjVKGJBWK+jEK9Ruw57/PnzyMrKwtarRZZWVmYOnWqQ8cMiHNv6+vrsWrVKty8eRNKpRJJSUnIzs5mwfwe5d46gp4RdHnQYv+FCxeQn5+PwsJClJWVwc/PD2FhYQgICMDzzz+PlJQUJCUluXTj0fownw3zMmC+ltrQ0ODWUTmOgG8Q9u7dW/JBIwxaer3epUxLOOrcm2NrgO8zPDq5gu5ghM1Hd4g5hHB2O28PxMYkCQeHEkJQVVWFoKAgu0fn6PV6vPHGG9i7dy9mzJiBF1980em+hhj3tqGhARqNBmPHjgXQHpgbGxuxcePGe5l76wh6XtAVw8svv4xdu3ZhyJAhCA0NxZUrV9DQ0ICwsDAMHToUw4YNYx+ubp+EMmCdToe2tjb4+fmxQY+2mlruBm8B6EpmzW956b/21Lz5Jp03R53TY5ayP7TXEN7Z8oczs8JcBX2g6HQ6NDc3M563WENV7DrIz89HZmYmdDodsrOzWQPLVQjLAjyOHTuGffv24b333sOFCxewdu1aHD16FEB7k2vKlCn49ttvnV67C+gZ4ojOMGvWLMyePZv90QkhuHnzJs6fP4/z58/jf//7H95//32YTCb06dMHQ4YMYWWJQYMGOaS3pw0ThUIBvV7Pyhh0XA3f1BLeDO7KAIXmMK42i/z8/GwKHygDhPJtaTlCp9NZ2Wd6C3wZJSQkxCYbRErMQc9JTK7d2QOTdyLz9rlTAU1zczMrIfFsHXpOwPcPl2vXrsFiseDkyZM4ePAgMjIysHbtWq908y0WC/bt24fJkycD6JrcW0fQo4KuWq22+lwmkyEpKQlJSUmYOXMmgPaao0ajYWWJQ4cO4ZVXXoGfnx8GDhxoVR9OSUmRNJjmR+XwExTE1Gc8JYrWh11RNlEptEwmQ2JioscMWsSEDyaTCTU1Nairq2NextSG0RuNOn6KgzNqNrFzEhMKiLl6yeVy5jfrbUN1oP26o4M4hZxfKYHKrl27cObMGQBAQkICFAoFOtkFuw3r169HUFAQFi5c6JX3u9voUUHXHiiVSgwfPhzDhw/HggULAABNTU0oKCjAhQsXcP78eWzfvh01NTUIDg7G4MGDrQJxYGAgioqKEBYWhpCQEMnsUowSxXfiqbKJHw5Ig7GtrSGfYXnbFAf43gFNoVCgf//+UCqVHawVKc3LHbJZHjzR3xGTls7Q2Ugh3hCefj+1X/Tm755OQQkNDZVMCOgxUtXZ+++/j7NnzyI9PR0zZszAjRs3cP36da+IgTZt2oTS0lK8+eab7CHcFbm3jsAXdO1AWFgYxo8fj/HjxwNov+EqKipYEL5w4QIOHDgAg8GAgIAAxMfH4/HHH0f//v1Z8LUX/FggCr4+LCV6aGpqQk1NDcLDw72eYUmNOhcbV8M/XIRqLWc8iKlPhEKh8Iq4g39ghoWFob6+HkajEeHh4VCpVKxpKWUX6S7wXhEJCQl2U+DOnDmDP/7xj2htbcXOnTsxceJEtx2TPXjllVdQWFiIt956y+rv5Sy/9m5ybx1Bj2qkeRLr16/HX//6V0yYMAEhISG4fPkyrl69CkII+vfvb1UfHjhwoEu8VOHWUKvVwmg0ss58cHCw1XbXk3DnqHNnPIhp6UKr1Xp8ioMYeBqY2ORhewzhO6MY2gKtW1dWViI8PBwxMTF2/e51Oh1effVVfPjhh/jpT3+K1atXS/LZXYUY93bbtm1IT09HcnIyk1z37dsX27dvB3DPcm8dgY+94GmUl5fD398fMTEx7GstLS24ePEiy4gLCgpQUVEBlUqFQYMGWbEl+vTp4/BNR0n+1NuXZli8iTW/hXcX15aC2g96ctS5lAexTCZDS0sLQkNDERcX59XMnqeBOSofFvMh5j0Z7DEw4gUeCQkJdtfsT58+jT/+8Y9oa2tDTk4OHnroIbvPmcKW521JSQlWr17NGlebNm1CcnKyx9bucfiC7r2C6upqq7JEQUEBtFotevXqhaFDh7L68NChQ23WonjOq9T4FH4LT29uWh921hQHuLujzgkhaGlpYXxjhUKB1tZWm8NCPQE6kFKlUrmspqPgPRmkDOEVCgXzGHZkZ9HS0oJXX30VBw8exJw5c7B69WqnGRW2PG+ffPJJzJkzB7NmzcLhw4fx0Ucf4YMPPvDY2j0OX9C9V2GxWFBSUmIViDUaDcxmM/r162cViPv374+vv/4aSUlJjArkaO1SyLWlvFSeLWFregVvfejtGWGAtVcDzzcWehDTLN8RlaA94EsZ3qCBiRnCm81myGQy1iuw56F56tQpZGdngxCCnJwcTJgwwS3Hx/Nua2trkZaWhlOnTjHGytixY3H8+HEQQty+5ikZshvh4+neq6D+pQMGDMCjjz4KoJ3ydOnSJRaEP/zwQ2zZsoXZGj7xxBNITk7G8OHDkZSU5FBGJ+Ta8vVhng7FZ46BgYGwWCyoqqpy2vrQVUiNO+ebWmKNOr1ej7q6Ooe38BRCzq+3mpSUQxwcHIyGhgbo9XpERUUhMDCwU0N4oL3enJeXh48++giPP/44nn/+eY89KCoqKqxKPH5+foiNjUVFRQUIIW5f6wJB1yZ8QfcehFKpxKhRo9hctv/85z/45S9/ibFjxyI1NRVFRUU4dOgQ6uvrERoaiiFDhljVhx1pHIh52/IUL51Oh5qaGrS1tcHf3x/BwcGsruoN+0GeFeFIdinFAhFz87JVbqFjx6lgxpsTLADroZS8A52UIfyhQ4eQl5eHkJAQtLa24sknn8TixYu9KtDwwTZ8QbcL4IEHHsDnn39u5ZpPCMGtW7dYNnz27Fns2bOHOWcNGzaMlSUGDx7sULCgmSNlRoSGhiI6OpqNl29paWGBWIzi5Q7wpQzqL+xqjZaqBHlKlZQHMZ23FxERYSVu8QZ4VojUUErhQ7O5uRnXr19nwozw8HAcP34cjY2N2LRpk8eONz4+ntXZeUFMfHw8CCFuX+vK8AXdLoDAwMAOY0qo0iwxMRHp6ekA2rOyq1evIj8/HxcuXMDRo0fx6quvshIGXx+WMkk3GL4fdc6r2fz9/W2aptOtLi+XpcHY0a04//6eLmWIeRBTzq/FYoFSqURDQwOam5s9JtcWwmg0sikWjnCOv/rqK2RnZ0OhUGDbtm344Q9/6JHjE0NUVBQGDx6Mo0ePYtasWTh69CgGDx7MygCeWOuq8DXSujmam5tRWFjIKGsXLlxAVVUVAgMDMXjwYKuyRGtrK27fvo2oqCinpigI5bJ0y2vvpAdXaFjuQGeNOjE7TyFjwl2KOkeMiZqamrB161YcPnwY8+fPx8qVKz3qEWzL87a4uBirV69GU1MTwsLCsGnTJvTv3x8APLJ2j6Nrsxds8QJPnDiBvLw8mM1mhIeHIzc3F4mJiQCAf//738jLywMhBIQQPPvss5g2bRqA9q6rUqlk9bGVK1c6xVfsqqisrGRliQsXLqCwsBA6nQ4KhQKjRo3C+PHjMWjQIAwZMsRl0rxw0oNer7fy6qUBi/rsetONi4dOp2ODTe0x9xaOe3LVg5iKLCjn2d7s9ssvv0ROTg6USiU2bNjArBJdga17pwdybV1B1w66YrzAxsZGTJs2Dfv370dKSgoOHz6MI0eO4J133gEhBA888AD27t2L1NRUXLlyBfPnz8fZs2chl8slLeZ6IpYvX47//e9/mDJlCuRyOQoKCnD16lW0tbUhOTnZqj6cmprqct2W9+rV6XRoaWkBIQQqlYrRoFyxU3QE7lS0OeNBTAhBTU0N6uvrHfLabWpqwpYtW3D06FEsXLgQv/vd79zS5JO6d37+85/3NK6tK+jalDE6m55HaWkpoqOjkZKSAgCYOHEiVq1axQQDcrkczc3NANq32NRW0YeOWLVqFTNooTAYDLh48SLLiPfs2YPbt29DqVRCrVZbBeLExESHAhVlFtDAFBkZiYiICMaY4O0UhXVUd1K1qITWXTQwWxOBaRBubGzEnTt3mAexQqFAS0uLKA1OCidPnkROTg4CAgKwe/du3H///S4dt9h5CO+d+vp6XLp0Ce+++y4AID09HevXr0ddXR0IIU6tdfXarLPoEkFXDCkpKaipqcGFCxcwYsQI/P3vfwcAxuHbtm0bfv3rXyMoKAgtLS146623rF6/cuVKEEIwevRo/O53v/Oo9vxeBy3J8AgICMDo0aMxevRo9rXa2lorEcc//vEPNDY2Ijw83MoEfujQoZI3FLWdlMvlVjQopVLZwU6RBqzq6mqr+rArdVShhNaT9U8xD2Kj0ciM1f39/WEwGHDjxo0O5yV8CDQ2NmLLli34xz/+gUWLFmHFihVup7DJZDLRe8cTPFxf0O1iCA0NxdatW5Gbmwuj0YiHH34YYWFhbAbWzp07sWPHDowePRpnz57FihUr8MknnyA4OBh79+5FfHw8TCYT5s6di4cffhh6vd7uerHUWneuX0VFRWHSpEmYNGkSgPbAWFpaytgS33zzDd577z3GaeUtLwcNGsRGzCuVyk630rydYnh4OHs/XvBQX18Pk8nUwfbSljMZT0OLiIhAQkKC13c/tHasUqkwcOBA5ltr6wFjNpvx6aefQiaT4fDhwwgNDcWePXusHobuhK175+WXX/bI+/VEdNmgCwDjxo3DuHHjAAA1NTV455130K9fP1y+fBlVVVXswhw9ejQCAwNRXFyMESNGMJ6fUqnE4sWLsXXrVqunbmNjI1544QWrenFWVhbeeecdyTUAyMzMxM9+9jNWv1q3bl23rV9RSlNycjJmz54NoJ3Mf+XKFZYNf/TRR/jzn/8MmUwGhUKBhx56CD/60Y/YrDpHslTeIpLO6xIKHqqqqjo4kwUGBqKtrY3RwO6Goo4q+pqbm9nYIP68bD1giouL8d///helpaVobW2FxWLBwYMHPRZ0bd07KpXKx7V1E7p00K2urkZMTAwsFgteeeUVzJs3D0FBQejduzcqKytx/fp19O/fH8XFxaitrUW/fv3YrLLQ0FAQQnDjxg0MHz4cly9fZj9Xql5869Ytm2u++lX7g2zEiBEYMWIE+9rixYuRn5+P8ePHw2QyIS8vD7W1tQgODu6gpouNjXXo/WwJHvhs+Pbt26xRFxYWhra2NlgsFq9luXROWlBQkN21Y5lMhm+++QY5OTkICwvDe++9h+joaBQUFMBoNHrsWG3dO0lJST6urZvQJYIuzwtcvHgx4wVu27YN586dQ2trK8aPH4+VK1cCAGJiYpCVlYXnnnuOZVIbN25EREQEysrKsHz5cnbjDRgwAJmZmZg3bx57P6l6sdSar34ljueeew6JiYlsFDYhBOXl5Vb14X379sFgMCAuLs7Ke3jIkCEO11wVCgVCQ0OhUCig1WoRGBiI6OhoFozp9p3n2brDEEcInhkRHx9vt5l9fX09Nm/ejGPHjmHx4sX4zW9+wzJzT5eqpO6drKwsrF69Gjt27GCcWQpn13oiugRlzBsQ0si++uorvPbaa6xevHfvXuzevRuDBg2yuWY2m/HCCy/gk08+YT93+vTp2Lx5M4YOHXq3Tq1LwGw249q1a6w+XFBQgGvXrgFofwjy9WFaC7WFziYAAx15tnq93qXJFULwzIjY2Fi7mRH/+te/kJuby3oF1H/Dhy6Hrs3T9QakuLs1NTWYNGkSTp061aFbzK/p9fqubEV3z0Gr1VrR1goKCpiPrVBNl5CQwOqmWq0WwcHBiI2NdUhkITa5wp4R8zz40Tnx8fF2Z+l1dXXYtGkT/vWvf2Hx4sVYvny5W+rORqMRGzduxNdffw2VSoVRo0Zh/fr1PqGD59G1ebp3A7bqxVJrQUFBVvWrZcuWwWg04sEHH3QLM6KnKelCQkIwduxYK5XVnTt3UFBQwALxoUOHoNVqERYWhsDAQISFhWHlypUOB1xAvD4sNmKenwLM+zAIpwDbWzP+/PPPkZubi169emHfvn0YOXKkQ8cthc2bN0OlUuHYsWOQyWSoqakBIN3wdXbNB/vQ4zNdWzryF1980apevHbtWhbspNZ4rbifnx8yMzOxZs0au5R0UmuAdDbeU2GxWPDWW28hLy8Pffv2RUhICIqKimA2m5GUlGRVH1ar1S4PrLTlw0BLEBEREWw4ZWdlibq6OvzpT3/CF198gSVLluDZZ59168ijlpYWTJw4Ef/5z3+sHiSeMBz37eQ6wJfp2sJLL72El156qcPXN2zYYPM1UmsDBgzAwYMHba47y4zwXdTikMvlGDNmDHbs2MH4w0ajkZnAnz9/Hvv27UNZWRn8/f2RmppqVR9OSkpymLbGTwFuampiY89VKhWMRiNu375tVR8Wk/8eP34cubm5iImJwYEDBzB8+HC3/27KysoQERGB119/HadOnUJwcDCee+45BAQE+IQOdxE9Puh6G84yI+hF7VPSdYRQJq5SqXDffffhvvvuY1+rq6uzKkscP34cDQ0NCA0NtbK8HDZsGGNZSIGam7e2tqJfv34dBkPy9WEq/71y5QreffddKBQKXLt2DY8++ihefPFFu1kNjqKtrQ1lZWUYMmQIXnjhBZw/fx7Lli1DXl6eR97PB/vgC7pehpSSTmoNgJWSbsOGDcjOzsaWLVvu8hl1DURGRmLixImYOBe6rFYAAAhWSURBVHEigPYyQVlZGcuGeRP4hIQEq0A8ePBgFlR5VVuvXr3Qt29f0UxZWB8mhECj0UAmkzE/g48//hglJSXYv3+/R845Pj4eCoWC+S2PHDkSvXr1QkBAgE/ocBfhC7p3AbaUdJ2t8Uq69PR0LFmyBGlpaVAqlUhKSkJ2djYiIyORn5+PdevWwWg0ok+fPti8eTPL3pxd626gs9769euHjIwMAO3Zq0ajYYH4yJEjyMvLg1wux8CBA5GQkIDi4mIsWLAA6enpdvseVFdXIzc3FydPnsTSpUuxbNkyqFQq1NXVwWQyeewcIyMjMXbsWPz3v//FhAkTUFJSgtraWiQnJ/uEDncT1DPTxocPbsCkSZOIRqNhn1dVVRFCCGlrayNr1qwhOTk5na61tLSQpqYmQgghFouFbNy4kcybN4+97k9/+hNZs2YNaWtrIz/+8Y/J6dOnCSGEbN++naxevZr9TGfWejIaGxvJl19+SebNm0dSU1PJpEmTiFqtJqNGjSLz588nGzZsIIcPHybFxcWkpaXF6kOr1ZKDBw+S+++/n2RkZJBLly55/fhv3rxJFi5cSNLT08ns2bPJiRMnCCGEXLt2jcydO5dMmzaNzJ07lxQXF7PXOLvmgxVsxlVf0PUg1q9fTx566CEyePBgMm7cODJ9+nRCCCFr164ljzzyCJkyZQpZt24dMRgM7DW21m7evElmzZpF0tPTyfTp08ny5cvJnTt32Os+++wz8tRTT5Hz58+TGTNmsK/X1taSUaNGEUKI02s9HSaTiaxYsYJ8+eWXhBBCysvLyaeffko2bdpEFixYQEaNGkVSU1PJ+PHjydKlS0leXh7529/+Rp5++mkyZMgQ8uqrrxKj0ejWY3rttddIamoqe5h/++23JCMjg0ybNo0sXryY1NTUsO91ds0Hl+ALut0ZbW1t5KmnniLvv/8++eyzz8gzzzxjtT5ixAhSX1/v9JoP0jCbzeTKlSvkwIEDZO3atSQjI4Oo1WoyceJEcvnyZbe/X2FhIVmyZAnbQfl2N/ckbMZVn6t3N8D69esRFBS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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IgDN5dkGo_X4",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "86c73b83-7b5b-4bfc-fc30-f7378b5406e5"
      },
      "source": [
        "import plotly.express as px\n",
        "df = px.data.iris()\n",
        "fig = px.scatter_3d(x=taxa_brasil_gdp_capita.year, y=gdppc, z=gdpm)\n",
        "fig.show()"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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{\"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}}}},\n",
              "                        {\"responsive\": true}\n",
              "                    ).then(function(){\n",
              "                            \n",
              "var gd = document.getElementById('787216c4-fd50-470a-9365-4ec42a5c2dbd');\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",
              "                        })\n",
              "                };\n",
              "                \n",
              "            </script>\n",
              "        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iZ5i4HabtGy-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "taxa_brasil_idade_tot = dfb.groupby(['country', 'age', 'sex']).agg({'suicides/100k pop': ['mean']}).sort_values(('suicides/100k pop', 'mean'), ascending=False).reset_index()\n",
        "taxa_brasil_idade_tot.columns = taxa_brasil_idade_tot.columns.droplevel(0)\n",
        "taxa_brasil_idade_tot.columns = ['country', 'age', 'sex', 'mean']\n",
        "# taxa_brasil_idade_tot.sort_values(['mean'])"
      ],
      "execution_count": 55,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0wBbrGaIwX9U",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# taxa_brasil_idade_tot['age'].unique()"
      ],
      "execution_count": 56,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "72mWG4GOwAa4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "ages = [taxa_brasil_idade_tot['age'].unique()[5], taxa_brasil_idade_tot['age'].unique()[4], taxa_brasil_idade_tot['age'].unique()[3], taxa_brasil_idade_tot['age'].unique()[2], taxa_brasil_idade_tot['age'].unique()[1], taxa_brasil_idade_tot['age'].unique()[0]]\n",
        "# ages"
      ],
      "execution_count": 57,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sticlMz1uWKG",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 502
        },
        "outputId": "ff42fe2a-6791-4bba-c75e-9bfe3185e467"
      },
      "source": [
        "# gráfico comparativo entre faixas de idade\n",
        "plt.figure(figsize=(12,8))\n",
        "\n",
        "ax = sns.barplot(x='sex', y='mean', hue='age', data=taxa_brasil_idade_tot)\n",
        "# ax.set(xticks=ages.text())\n",
        "# ax.set_xticklabels(list(map(int, ax.get_xticks())), rotation=45, horizontalalignment='right')\n",
        "\n",
        "sns.despine(top=True, right=True, left=True, bottom=True)\n",
        "\n",
        "plt.legend(title='Taxa de suicídio', bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_NpaAojUGDX0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "taxa_brasil_idade_tot.at[(10, 'age')] = '05-14 years'\n",
        "taxa_brasil_idade_tot.at[(11, 'age')] = '05-14 years'"
      ],
      "execution_count": 99,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gSD8Ds-9Gx5V",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# taxa_brasil_idade_tot"
      ],
      "execution_count": 100,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n8uPFemTvrpi",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 502
        },
        "outputId": "89fe1ff9-cc6c-4a5b-afd8-80fd869b3740"
      },
      "source": [
        "# gráfico comparativo entre faixas de idade\n",
        "plt.figure(figsize=(12,8))\n",
        "\n",
        "\n",
        "ax = sns.lineplot(label = 'male', x='age', y='mean', color='blue', data=taxa_brasil_idade_tot[taxa_brasil_idade_tot.sex=='male'], marker=\"o\")\n",
        "ax = sns.lineplot(label = 'female', x='age', y='mean', color='red', data=taxa_brasil_idade_tot[taxa_brasil_idade_tot.sex=='female'], marker=\"P\")\n",
        "\n",
        "# plt.bar([i+0.25*width for i in indices], lowPower, \n",
        "#         width=0.5*width, color='r', alpha=0.5, label='Min Power in mW')\n",
        "\n",
        "# ax.set(xticks=ages)\n",
        "# ax.set_xticklabels(list(map(int, ax.get_xticks())), rotation=45, horizontalalignment='right')\n",
        "\n",
        "sns.despine(top=True, right=True, left=True, bottom=True)\n",
        "\n",
        "# ax.set_xticks(range(len(ages)))\n",
        "# ax.set_xticklabels(ages)\n",
        "\n",
        "plt.legend(title='Taxa de suicídio', bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 101,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0fyrr_8DMGKv",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}