Formação_Data_Science_Alura_Análise_exploratória_do_MovieLens (1).ipynb

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      "name": "Formação Data Science Alura - Análise exploratória do MovieLens.ipynb",
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      "cell_type": "markdown",
      "metadata": {
        "id": "u08Dl1gYigUk",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: Coloque um cabeçalho nesse notebook com o seu nome e resumindo o que descobriu ao explorar esses dados"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bEQuLIBpigUn",
        "colab_type": "text"
      },
      "source": [
        "## Formação Data Science Alura - Análise exploratória do MovieLens\n",
        "\n",
        "Na formação de Data Scienda www.alura.com.br um dos conjuntos de dados que utilizamos é o de avaliações para filmes no site MovieLens. Neste projeto faremos uma análise exploratória desses dados."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YbEIbeZkigUp",
        "colab_type": "text"
      },
      "source": [
        "### Dicas para o projeto completo:\n",
        "\n",
        "- todo gráfico deve ter um título, labels e legendas que fazem sentido\n",
        "- configure um tamanho adequado para os gráficos\n",
        "- utilize as versões dos arquivos de dados disponíveis no github"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9vuKk4ABigUr",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: conferindo as versões utilizadas\n",
        "\n",
        "- Devemos usar pandas 0.24.0 ou mais recente\n",
        "- Devemos usar seaborn 0.9.0 ou mais recente\n",
        "- Devemos usar scipy 1.2.0 ou mais recente"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "G5AyJlAtigUs",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#!pip install pandas==\"0.24.0\" --quiet\n",
        "#!pip install seaborn==\"0.9.0\" --quiet\n",
        "#!pip install scipy==\"1.2.0\" --quiet"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 122
        }
      },
      "source": [
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import scipy\n",
        "\n",
        "print(\"Usando pandas %s\" % pd.__version__)\n",
        "print(\"Usando seaborn %s\" % sns.__version__)\n",
        "print(\"Usando scipy %s\" % scipy.__version__)"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Usando pandas 1.0.4\n",
            "Usando seaborn 0.10.1\n",
            "Usando scipy 1.4.1\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
            "  import pandas.util.testing as tm\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LC_YZURkigU4",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: carregue os filmes\n",
        "\n",
        "- os dados `https://raw.githubusercontent.com/alura-cursos/formacao-data-science/master/movies.csv` devem ser carregado em `filmes`\n",
        "- renomeie as colunas para `filmeId`, `titulo` e `generos`\n",
        "- configure o indice (`index`) para ser o `filmeId`"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZyHefVCUigU6",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# solução\n",
        "filmes=pd.read_csv('https://raw.githubusercontent.com/alura-cursos/formacao-data-science/master/movies.csv')# carregando os dados movies.csv.\n",
        "filmes.columns = ('filmeId','titulo','generos')#renomeando as colunas.\n",
        "filmes.set_index('filmeId',inplace=True)#configurando o indice."
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ilJQjTAOigVA",
        "colab_type": "code",
        "outputId": "982d64a8-6635-49d8-f83e-3f5f4bbec626",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "source": [
        "filmes.head()"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>titulo</th>\n",
              "      <th>generos</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>filmeId</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Toy Story (1995)</td>\n",
              "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Jumanji (1995)</td>\n",
              "      <td>Adventure|Children|Fantasy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Grumpier Old Men (1995)</td>\n",
              "      <td>Comedy|Romance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Waiting to Exhale (1995)</td>\n",
              "      <td>Comedy|Drama|Romance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Father of the Bride Part II (1995)</td>\n",
              "      <td>Comedy</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                     titulo                                      generos\n",
              "filmeId                                                                                 \n",
              "1                          Toy Story (1995)  Adventure|Animation|Children|Comedy|Fantasy\n",
              "2                            Jumanji (1995)                   Adventure|Children|Fantasy\n",
              "3                   Grumpier Old Men (1995)                               Comedy|Romance\n",
              "4                  Waiting to Exhale (1995)                         Comedy|Drama|Romance\n",
              "5        Father of the Bride Part II (1995)                                       Comedy"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": true,
        "id": "W1gZN2gLigVG",
        "colab_type": "code",
        "outputId": "2d12b0d9-f71d-4ef0-807e-3df2462b00dc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print(\"Carregamos %d filmes\" % len(filmes))\n",
        "if(len(filmes) != 9742):\n",
        "    print(\"ERRO! O conjunto de dados que estamos trabalhando nesse projeto possui 9742 elementos.\")"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Carregamos 9742 filmes\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U_UzjoXFigVM",
        "colab_type": "text"
      },
      "source": [
        "Vamos extrair o ano dos filmes (código já pronto): "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ozykG0ndigVN",
        "colab_type": "code",
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "source": [
        "ano_de_lancamento = filmes.titulo.str.extract(\"\\((\\d{4})\\)\")\n",
        "filmes['ano_de_lancamento'] = ano_de_lancamento.astype(float)\n",
        "filmes.head()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>titulo</th>\n",
              "      <th>generos</th>\n",
              "      <th>ano_de_lancamento</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Toy Story (1995)</td>\n",
              "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
              "      <td>1995.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Jumanji (1995)</td>\n",
              "      <td>Adventure|Children|Fantasy</td>\n",
              "      <td>1995.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Grumpier Old Men (1995)</td>\n",
              "      <td>Comedy|Romance</td>\n",
              "      <td>1995.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Waiting to Exhale (1995)</td>\n",
              "      <td>Comedy|Drama|Romance</td>\n",
              "      <td>1995.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Father of the Bride Part II (1995)</td>\n",
              "      <td>Comedy</td>\n",
              "      <td>1995.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                     titulo  ... ano_de_lancamento\n",
              "filmeId                                      ...                  \n",
              "1                          Toy Story (1995)  ...            1995.0\n",
              "2                            Jumanji (1995)  ...            1995.0\n",
              "3                   Grumpier Old Men (1995)  ...            1995.0\n",
              "4                  Waiting to Exhale (1995)  ...            1995.0\n",
              "5        Father of the Bride Part II (1995)  ...            1995.0\n",
              "\n",
              "[5 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UkX6COCzigVV",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: carregando as notas\n",
        "\n",
        "- os dados `https://raw.githubusercontent.com/alura-cursos/formacao-data-science/master/ratings.csv` devem ser carregado em `notas`\n",
        "- renomeie as colunas para `usuarioId`, `filmeId`, `nota` e `momento`"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7UC_TCkjigVW",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# solução\n",
        "notas = pd.read_csv('https://raw.githubusercontent.com/alura-cursos/formacao-data-science/master/ratings.csv')# carregando os dados\n",
        "notas.columns = ('usuarioId','filmeId','nota','momento')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kIbP-nZbigVc",
        "colab_type": "code",
        "outputId": "9256ea7e-c9b1-4925-8786-a529e985bba4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "notas.head()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "      <th></th>\n",
              "      <th>usuarioId</th>\n",
              "      <th>filmeId</th>\n",
              "      <th>nota</th>\n",
              "      <th>momento</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4.0</td>\n",
              "      <td>964982703</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
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              "      <td>4.0</td>\n",
              "      <td>964981247</td>\n",
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              "      <th>2</th>\n",
              "      <td>1</td>\n",
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              "      <td>4.0</td>\n",
              "      <td>964982224</td>\n",
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              "      <th>3</th>\n",
              "      <td>1</td>\n",
              "      <td>47</td>\n",
              "      <td>5.0</td>\n",
              "      <td>964983815</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1</td>\n",
              "      <td>50</td>\n",
              "      <td>5.0</td>\n",
              "      <td>964982931</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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            ],
            "text/plain": [
              "   usuarioId  filmeId  nota    momento\n",
              "0          1        1   4.0  964982703\n",
              "1          1        3   4.0  964981247\n",
              "2          1        6   4.0  964982224\n",
              "3          1       47   5.0  964983815\n",
              "4          1       50   5.0  964982931"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nJAf2MEKigVi",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: gere uma nova feature, a média dos votos por filme\n",
        "\n",
        "- crie uma nova coluna chamada `nota_media` dentro do dataframe `filmes`\n",
        "\n",
        "Dicas:\n",
        "- como filmeId já é o indice de seu dataframe filmes, se você possui uma série com o número de votos por filme, basta atribuir uma nova coluna normalmente que será usado o mesmo índice"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yc1aC7_oigVj",
        "colab_type": "code",
        "outputId": "1a4aebbf-112b-44d2-89f7-9c22a007e499",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        }
      },
      "source": [
        "# solução\n",
        "#Criando uma Serie com as medias das notas de cada filme. Também arredondei os valores para 3 casa decimais,facilitando a leitura.\n",
        "nota_media = notas.groupby('filmeId')['nota'].mean().round(3)\n",
        "print(f'{nota_media}/n/n')#visualizando a serie.\n",
        "filmes['nota_media'] = nota_media"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "filmeId\n",
            "1         3.921\n",
            "2         3.432\n",
            "3         3.260\n",
            "4         2.357\n",
            "5         3.071\n",
            "          ...  \n",
            "193581    4.000\n",
            "193583    3.500\n",
            "193585    3.500\n",
            "193587    3.500\n",
            "193609    4.000\n",
            "Name: nota, Length: 9724, dtype: float64/n/n\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rHvmvpmUigVo",
        "colab_type": "code",
        "outputId": "ed167593-43f9-4a3d-8dbd-172454216ab4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "source": [
        "filmes.head()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>titulo</th>\n",
              "      <th>generos</th>\n",
              "      <th>ano_de_lancamento</th>\n",
              "      <th>nota_media</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>filmeId</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Toy Story (1995)</td>\n",
              "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
              "      <td>1995.0</td>\n",
              "      <td>3.921</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Jumanji (1995)</td>\n",
              "      <td>Adventure|Children|Fantasy</td>\n",
              "      <td>1995.0</td>\n",
              "      <td>3.432</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Grumpier Old Men (1995)</td>\n",
              "      <td>Comedy|Romance</td>\n",
              "      <td>1995.0</td>\n",
              "      <td>3.260</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Waiting to Exhale (1995)</td>\n",
              "      <td>Comedy|Drama|Romance</td>\n",
              "      <td>1995.0</td>\n",
              "      <td>2.357</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Father of the Bride Part II (1995)</td>\n",
              "      <td>Comedy</td>\n",
              "      <td>1995.0</td>\n",
              "      <td>3.071</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                     titulo  ... nota_media\n",
              "filmeId                                      ...           \n",
              "1                          Toy Story (1995)  ...      3.921\n",
              "2                            Jumanji (1995)  ...      3.432\n",
              "3                   Grumpier Old Men (1995)  ...      3.260\n",
              "4                  Waiting to Exhale (1995)  ...      2.357\n",
              "5        Father of the Bride Part II (1995)  ...      3.071\n",
              "\n",
              "[5 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e2POoMnzigVv",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: remova os filmes com menos de 50 avaliações\n",
        "\n",
        "- conte o número de notas por filme\n",
        "- adicione uma coluna nova chamada `total_de_votos` a `filmes` que representa o número de avaliações que aquele filme teve no conjunto de dados\n",
        "- remova os que tem 49 ou menos de `filmes`"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e6sAyRFoigVx",
        "colab_type": "text"
      },
      "source": [
        "## Solução"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mb3j6GYOigVy",
        "colab_type": "code",
        "outputId": "7e6ad4c3-dc9e-4891-8639-f9bceffea3fd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 221
        }
      },
      "source": [
        "# solução para calcular o total de votos por filme\n",
        "notas['filmeId'].value_counts()\n",
        "#Índice é a Id do filme e os valores são as quantidades de notas atribuidas no filme."
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "356       329\n",
              "318       317\n",
              "296       307\n",
              "593       279\n",
              "2571      278\n",
              "         ... \n",
              "5986        1\n",
              "100304      1\n",
              "34800       1\n",
              "83976       1\n",
              "8196        1\n",
              "Name: filmeId, Length: 9724, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qhv-At48igV3",
        "colab_type": "code",
        "outputId": "5c179eb5-0268-4271-fec5-618d7ee73ff1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        }
      },
      "source": [
        "# solução para criar a nova coluna e filtrar os filmes\n",
        "filmes['total_de_votos'] = notas['filmeId'].value_counts()#Criando a coluna 'total de votos'.\n",
        "print(filmes.total_de_votos.isnull().value_counts())#Verificando se tem valores NaN na coluna.\n",
        "filmes.total_de_votos.fillna(0,inplace=True)#Interpretar os valores NaN como filmes q tiverem 0 notas atribuidas.\n",
        "filmes.query(\"total_de_votos < 50\").index #Indentificando os filmes com menos de 50 votos e então indentifiquei seus índices.\n",
        "filmes.drop(filmes.query(\"total_de_votos < 50\").index,inplace=True)#Removendo esses filmes indentificados."
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "False    9724\n",
            "True       18\n",
            "Name: total_de_votos, dtype: int64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LTTBarG0igV9",
        "colab_type": "code",
        "outputId": "6eaf82da-ea57-455b-cfe1-4c976c64d9bc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "source": [
        "filmes.head()"
      ],
      "execution_count": 13,
      "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>titulo</th>\n",
              "      <th>generos</th>\n",
              "      <th>ano_de_lancamento</th>\n",
              "      <th>nota_media</th>\n",
              "      <th>total_de_votos</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>filmeId</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Toy Story (1995)</td>\n",
              "      <td>Adventure|Animation|Children|Comedy|Fantasy</td>\n",
              "      <td>1995.0</td>\n",
              "      <td>3.921</td>\n",
              "      <td>215.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Jumanji (1995)</td>\n",
              "      <td>Adventure|Children|Fantasy</td>\n",
              "      <td>1995.0</td>\n",
              "      <td>3.432</td>\n",
              "      <td>110.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Grumpier Old Men (1995)</td>\n",
              "      <td>Comedy|Romance</td>\n",
              "      <td>1995.0</td>\n",
              "      <td>3.260</td>\n",
              "      <td>52.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Heat (1995)</td>\n",
              "      <td>Action|Crime|Thriller</td>\n",
              "      <td>1995.0</td>\n",
              "      <td>3.946</td>\n",
              "      <td>102.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Sabrina (1995)</td>\n",
              "      <td>Comedy|Romance</td>\n",
              "      <td>1995.0</td>\n",
              "      <td>3.185</td>\n",
              "      <td>54.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                          titulo  ... total_de_votos\n",
              "filmeId                           ...               \n",
              "1               Toy Story (1995)  ...          215.0\n",
              "2                 Jumanji (1995)  ...          110.0\n",
              "3        Grumpier Old Men (1995)  ...           52.0\n",
              "6                    Heat (1995)  ...          102.0\n",
              "7                 Sabrina (1995)  ...           54.0\n",
              "\n",
              "[5 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tfMoxoRmigWD",
        "colab_type": "text"
      },
      "source": [
        "# Visualizando os dados gerais"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "svzSKc7PigWF",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: Visualize as notas médias\n",
        "\n",
        "- histograma\n",
        "- cummulative distribution function\n",
        "\n",
        "Dicas:\n",
        "\n",
        "- lembre-se de colocar um título nas imagens além de nomes nos eixos x e y\n",
        "- para gerar a versão cumulativa lembre-se de usar os parâmetros `hist_kws` e `kde_kws` para definir `'cumulative'=True`"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gGAfIWMuigWG",
        "colab_type": "code",
        "outputId": "31b23d9f-5849-4444-f3ff-be023508bedb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        }
      },
      "source": [
        "# solução histograma\n",
        "ax=sns.distplot(filmes['nota_media'],kde=False,axlabel='nota média')#plotando histograma(\"kde=False\" deixa os valores de y como nº de filmes).\n",
        "ax.set_title('Nº de filmes por nota média')#Colocando título.\n",
        "ax.set_ylabel('Nº de filmes')#Descrevendo o y."
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Nº de filmes')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sxhsUgwDigWK",
        "colab_type": "code",
        "outputId": "c5aacaf5-401a-4c96-b93c-617531fc97d3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        }
      },
      "source": [
        "# solução cumulativa\n",
        "ax=sns.distplot(filmes['nota_media'],axlabel='nota média',#descrevendo o eixo x\n",
        "                hist_kws={'cumulative':True},kde_kws={'cumulative':True})#plotando histograma com os argumentos para se tornar acumulativo.\n",
        "ax.set_title('Nº de filmes por nota média')#Colocando título.\n",
        "ax.set_ylabel('Nº de filmes')#Descrevendo o y."
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Nº de filmes')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uMQvw5QYigWR",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: Visualize o total de votos\n",
        "\n",
        "- histograma\n",
        "- cummulative distribution function"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BOJfxKyqigWT",
        "colab_type": "code",
        "outputId": "dd30e8ec-8de9-4bda-8b76-dcbb00ca0241",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        }
      },
      "source": [
        "# solução histograma\n",
        "ax=sns.distplot(filmes['total_de_votos'],kde=False,axlabel='total de votos')#plotando histograma(\"kde=False\" deixa os valores de y como nº de votos).\n",
        "ax.set_title('Nº de filmes por total de votos')#Colocando título.\n",
        "ax.set_ylabel('Nº de filmes')#Descrevendo o y."
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Nº de filmes')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X03Joy-XigWY",
        "colab_type": "code",
        "outputId": "0b7868f3-0a95-4da4-e621-3a51d04edcd8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        }
      },
      "source": [
        "# solução cumulativa\n",
        "ax=sns.distplot(filmes['total_de_votos'],axlabel='total de votos',#descrevendo o eixo x\n",
        "                hist_kws={'cumulative':True},\n",
        "                kde_kws={'cumulative':True})#plotando histograma com os argumentos para se tornar acumulativo.\n",
        "ax.set_title('Nº de filmes por total de votos')#Colocando título.\n",
        "ax.set_ylabel('Nº de filmes')#Descrevendo o y."
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Nº de filmes')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "I5WPRzwOigWd",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: 20% dos filmes do dataframe tem nota maior que? \n",
        "\n",
        "- lembre-se da função `quantile` do pandas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "h2TwgxNKigWe",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# solução\n",
        "nota_limite_dos_20_porcento=filmes['nota_media'].quantile(0.8)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3DNlP0q9igWj",
        "colab_type": "code",
        "outputId": "d03e7193-feb7-4a51-c266-9fa6d2c8e298",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "print(\"20 porcento dos filmes tem nota maior que de %.2f\" % nota_limite_dos_20_porcento)"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "20 porcento dos filmes tem nota maior que de 3.99\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8b56wzebigWp",
        "colab_type": "text"
      },
      "source": [
        "## Vamos separar a coluna `generos` em diversas colunas.\n",
        "\n",
        "- O código já está pronto."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EXSABIkEigWp",
        "colab_type": "code",
        "outputId": "111ec004-51f5-41ea-c0a7-b0036d25f531",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "filmes['generos'] = filmes['generos'].str.replace('-', '')\n",
        "generos = filmes['generos'].str.get_dummies()\n",
        "print(\"Temos %d generos distintos\" % generos.shape[1])"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Temos 19 generos distintos\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9-eugndTigWu",
        "colab_type": "code",
        "outputId": "ec5f7390-e735-4c82-8b91-c921caa50342",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        }
      },
      "source": [
        "filmes = filmes.join(generos).drop(columns=['generos'], axis=1)\n",
        "filmes.head()"
      ],
      "execution_count": 21,
      "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>titulo</th>\n",
              "      <th>ano_de_lancamento</th>\n",
              "      <th>nota_media</th>\n",
              "      <th>total_de_votos</th>\n",
              "      <th>Action</th>\n",
              "      <th>Adventure</th>\n",
              "      <th>Animation</th>\n",
              "      <th>Children</th>\n",
              "      <th>Comedy</th>\n",
              "      <th>Crime</th>\n",
              "      <th>Documentary</th>\n",
              "      <th>Drama</th>\n",
              "      <th>Fantasy</th>\n",
              "      <th>FilmNoir</th>\n",
              "      <th>Horror</th>\n",
              "      <th>IMAX</th>\n",
              "      <th>Musical</th>\n",
              "      <th>Mystery</th>\n",
              "      <th>Romance</th>\n",
              "      <th>SciFi</th>\n",
              "      <th>Thriller</th>\n",
              "      <th>War</th>\n",
              "      <th>Western</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>filmeId</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Toy Story (1995)</td>\n",
              "      <td>1995.0</td>\n",
              "      <td>3.921</td>\n",
              "      <td>215.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Jumanji (1995)</td>\n",
              "      <td>1995.0</td>\n",
              "      <td>3.432</td>\n",
              "      <td>110.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Grumpier Old Men (1995)</td>\n",
              "      <td>1995.0</td>\n",
              "      <td>3.260</td>\n",
              "      <td>52.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Heat (1995)</td>\n",
              "      <td>1995.0</td>\n",
              "      <td>3.946</td>\n",
              "      <td>102.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Sabrina (1995)</td>\n",
              "      <td>1995.0</td>\n",
              "      <td>3.185</td>\n",
              "      <td>54.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                          titulo  ano_de_lancamento  ...  War  Western\n",
              "filmeId                                              ...              \n",
              "1               Toy Story (1995)             1995.0  ...    0        0\n",
              "2                 Jumanji (1995)             1995.0  ...    0        0\n",
              "3        Grumpier Old Men (1995)             1995.0  ...    0        0\n",
              "6                    Heat (1995)             1995.0  ...    0        0\n",
              "7                 Sabrina (1995)             1995.0  ...    0        0\n",
              "\n",
              "[5 rows x 23 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BMTIpdyyigWz",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: visualização de quantos filmes existem por genero\n",
        "\n",
        "- Para cada um dos generos você deve agrupar o número de filmes\n",
        "- Ordene as barras, na esquerda o genero com mais filmes, na direita o que tem menos filmes\n",
        "\n",
        "Dica:\n",
        "\n",
        "- Para fazer a soma de uma ou mais colunas individualmente você pode usar `seu_dataframe.sum()`\n",
        "- Não precisa usar o dataframe `filmes`, somente o dataframe `generos`\n",
        "- Em certas situações é mais fácil usar as funções de plotagem do pandas ao invés do seaborn"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oVoTd1PhigW0",
        "colab_type": "code",
        "outputId": "2afcdfa9-e894-4e6e-bcdb-156022df9bc9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 516
        }
      },
      "source": [
        "# solução\n",
        "import matplotlib.pyplot as plt#importando matplotlib para alterar o tamanho da figura\n",
        "filmes_por_genero=generos.sum().sort_values(ascending=False)#criando serie com a contagem de generos além de ordenar de forma decrescente.\n",
        "plt.figure(figsize=(19,8))#alterando tamanho da figura\n",
        "ax = sns.barplot(x=filmes_por_genero.index,y=filmes_por_genero.values,#indicando os eixos do gráfico\n",
        "                 palette=sns.color_palette('BuGn_r',n_colors=len(filmes_por_genero)+5))#plotando barrra alem de adicionar uma palette que tenha sentido com o gráfico\n",
        "ax.set_title('Filmes por gênero')#Colocando título."
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Filmes por gênero')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1368x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nTSUUMvSigXB",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: Quais são os 5 generos com mais filmes?\n",
        "\n",
        "Dica:\n",
        "\n",
        "- `sort_values()` pode ordenar uma Series do pandas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5O_k2pKWigXD",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# solução\n",
        "top5_generos_em_quantidade_de_filmes=filmes_por_genero[:5]#selecionando os top5"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FAb2Uc53igXJ",
        "colab_type": "code",
        "outputId": "665d5964-90a2-44fc-9b74-bad2f9c75d51",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        }
      },
      "source": [
        "print(top5_generos_em_quantidade_de_filmes)"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Comedy       181\n",
            "Drama        166\n",
            "Action       164\n",
            "Adventure    132\n",
            "Thriller     121\n",
            "dtype: int64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4DmFzRAxigXN",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: visualização de votos por genero\n",
        "\n",
        "- o código que gera os votos por genero já está pronto\n",
        "- ordene as categorias da mais visualizada para a menos visualizada\n",
        "- gere a visualização por genero"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DL6MpnunigXO",
        "colab_type": "code",
        "outputId": "e776f89d-8850-413d-eb9a-3ec28ece2543",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 224
        }
      },
      "source": [
        "votos_por_genero_por_filme = pd.DataFrame((generos.values.T * filmes['total_de_votos'].values).T, columns = generos.columns)\n",
        "votos_por_genero_por_filme.head()"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
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              "      <th>Action</th>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>102.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>102.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>102.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>54.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>54.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Action  Adventure  Animation  Children  ...  SciFi  Thriller  War  Western\n",
              "0     0.0      215.0      215.0     215.0  ...    0.0       0.0  0.0      0.0\n",
              "1     0.0      110.0        0.0     110.0  ...    0.0       0.0  0.0      0.0\n",
              "2     0.0        0.0        0.0       0.0  ...    0.0       0.0  0.0      0.0\n",
              "3   102.0        0.0        0.0       0.0  ...    0.0     102.0  0.0      0.0\n",
              "4     0.0        0.0        0.0       0.0  ...    0.0       0.0  0.0      0.0\n",
              "\n",
              "[5 rows x 19 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gExkDNhFigXT",
        "colab_type": "code",
        "outputId": "79e5ef57-912a-4d07-b68c-2c9b97b42028",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        }
      },
      "source": [
        "# solucão\n",
        "votos_por_genero=votos_por_genero_por_filme.sum().sort_values(ascending=False)\n",
        "votos_por_genero"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Action         15734.0\n",
              "Drama          15445.0\n",
              "Comedy         15330.0\n",
              "Adventure      13117.0\n",
              "Thriller       11907.0\n",
              "SciFi           8989.0\n",
              "Crime           8649.0\n",
              "Romance         7444.0\n",
              "Fantasy         5993.0\n",
              "Children        4331.0\n",
              "Mystery         3452.0\n",
              "Animation       3066.0\n",
              "IMAX            2492.0\n",
              "Horror          2215.0\n",
              "War             2113.0\n",
              "Musical         1822.0\n",
              "Western          900.0\n",
              "FilmNoir         291.0\n",
              "Documentary      108.0\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cUhnmUywigXX",
        "colab_type": "code",
        "outputId": "e9b2743a-1fe3-48fe-f380-5629fdedbf1e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 516
        }
      },
      "source": [
        "# solução\n",
        "plt.figure(figsize=(19,8))#alterando tamanho da figura\n",
        "ax = sns.barplot(x=votos_por_genero.index,y=votos_por_genero.values,#indicando os eixos do gráfico\n",
        "                 palette=sns.color_palette('BuGn_r',n_colors=len(votos_por_genero)+5))#plotando barrra alem de adicionar uma palette que tenha sentido com o gráfico\n",
        "ax.set_title('Votos por gênero')#Colocando título."
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Votos por gênero')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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qj5PcL8mBST6WpJIcWFX7ZxKuPCPJL7XWWlW9P8nTMvkdmGOSvHOxnQFWxgNOOGSlm7Bgn/2ji1a6CQAAwPeJbbnV9NuSfCTJA6tqU1Udl+T1Se6Z5IKquqyq3pQkrbWrk5yd5JNJ3pvk2a217/XfdHlOkvOTXJPk7F43SV6U5AVVtTGT34A5dVl7CAAAALCCtnrmS2vtqDmK5w1IWmuvSPKKOcrPS3LeHOXXZnI3JAAAAICdznLc7QgAAACAeQhfAAAAAAYSvgAAAAAMJHwBAAAAGEj4AgAAADCQ8AUAAABgIOELAAAAwEDCFwAAAICBhC8AAAAAAwlfAAAAAAYSvgAAAAAMJHwBAAAAGEj4AgAAADCQ8AUAAABgIOELAAAAwEDCFwAAAICBhC8AAAAAAwlfAAAAAAYSvgAAAAAMJHwBAAAAGEj4AgAAADCQ8AUAAABgIOELAAAAwEDCFwAAAICBhC8AAAAAAwlfAAAAAAYSvgAAAAAMJHwBAAAAGEj4AgAAADCQ8AUAAABgIOELAAAAwEDCFwAAAICBhC8AAAAAAwlfAAAAAAYSvgAAAAAMJHwBAAAAGEj4AgAAADCQ8AUAAABgIOELAAAAwEDCFwAAAICBhC8AAAAAAwlfAAAAAAYSvgAAAAAMJHwBAAAAGGir4UtVnVZVN1XVVVNle1bVBVX1mf5/j15eVfW6qtpYVVdU1SOm5jmm1/9MVR0zVf7Iqrqyz/O6qqrl7iQAAADAStmWM1/enOSwWWUvTnJha+3AJBf28SQ5PMmB/e/4JG9MJmFNkhOTPDrJQUlOnAlsep1fn5pv9mMBAAAA7LC2Gr601j6Q5OZZxUckOb0Pn57kyKnyM9rER5PsXlX3TfKkJBe01m5urX0tyQVJDuvT7tVa+2hrrSU5Y2pZAAAAADu8xf7my96ttRv78JeS7N2H90ly/VS9Tb1sS+Wb5igHAAAA2Cks+Qd3+xkrbRnaslVVdXxVbaiqDZs3b94eDwkAAACwJIsNX77cLxlK/39TL78hyX5T9fbtZVsq33eO8jm11k5pra1vra1fu3btIpsOAAAAsP0sNnw5N8nMHYuOSfLOqfKj+12PDk7yjX550vlJDq2qPfoP7R6a5Pw+7ZtVdXC/y9HRU8sCAAAA2OGt2VqFqnpbkkOS7FVVmzK5a9Erk5xdVccl+XySX+zVz0vy5CQbk3w7yTOTpLV2c1X9fpJLer2XtdZmfsT3NzO5o9Jdk7yn/wEAAADsFLYavrTWjppn0hPmqNuSPHue5ZyW5LQ5yjckeejW2gEAAACwI1ryD+4CAAAAMD/hCwAAAMBAwhcAAACAgYQvAAAAAAMJXwAAAAAGEr4AAAAADCR8AQAAABhI+AIAAAAwkPAFAAAAYCDhCwAAAMBAwhcAAACAgYQvAAAAAAMJXwAAAAAGEr4AAAAADCR8AQAAABhI+AIAAAAwkPAFAAAAYCDhCwAAAMBAwhcAAACAgYQvAAAAAAMJXwAAAAAGWrPSDQBY7R720sNWugkLdsXL37vSTQAAADpnvgAAAAAMJHwBAAAAGEj4AgAAADCQ8AUAAABgIOELAAAAwEDCFwAAAICBhC8AAAAAAwlfAAAAAAZas9INAGBlHfz//sJKN2HBPvqSv17pJgAAwDZz5gsAAADAQMIXAAAAgIGELwAAAAADCV8AAAAABhK+AAAAAAwkfAEAAAAYSPgCAAAAMJDwBQAAAGAg4QsAAADAQMIXAAAAgIGELwAAAAADCV8AAAAABlpS+FJVv11VV1fVVVX1tqq6S1XtX1UXV9XGqjqrqnbtdXfr4xv79HVTy3lJL/90VT1paV0CAAAAWD0WHb5U1T5JnpdkfWvtoUl2SfKMJK9KcnJr7YAkX0tyXJ/luCRf6+Un93qpqgf3+R6S5LAkb6iqXRbbLgAAAIDVZKmXHa1JcteqWpPkbkluTPL4JOf06acnObIPH9HH06c/oaqql5/ZWvtOa+1zSTYmOWiJ7QIAAABYFRYdvrTWbkjyh0m+kEno8o0klyb5emvtll5tU5J9+vA+Sa7v897S699nunyOeQAAAAB2aEu57GiPTM5a2T/J/ZLcPZPLhoapquOrakNVbdi8efPIhwIAAABYFku57OiJST7XWtvcWvuPJH+T5CeT7N4vQ0qSfZPc0IdvSLJfkvTp907y1enyOea5ndbaKa219a219WvXrl1C0wEAAAC2j6WEL19IcnBV3a3/dssTknwyyfuTPK3XOSbJO/vwuX08ffr7Wmutlz+j3w1p/yQHJvnYEtoFAAAAsGqs2XqVubXWLq6qc5J8PMktST6R5JQkf5fkzKp6eS87tc9yapK3VNXGJDdncoejtNaurqqzMwlubkny7Nba9xbbLgAAAIDVZNHhS5K01k5McuKs4mszx92KWmv/nuQX5lnOK5K8YiltAQAAAFiNlnqraQAAAAC2QPgCAAAAMJDwBQAAAGAg4QsAAADAQMIXAAAAgIGELwAAAAADCV8AAAAABhK+AAAAAAwkfAEAAAAYSPgCAAAAMNCalW4AAIz0+Ncdt9JNWLD3Pe/UlW4CAADLyJkvAAAAAAMJXwAAAAAGEr4AAAAADCR8AQAAABhI+AIAAAAwkPAFAAAAYCDhCwAAAMBAwhcAAACAgYQvAAAAAAMJXwAAAAAGEr4AAAAADCR8AQAAABhI+AIAAAAwkPAFAAAAYCDhCwAAAMBAwhcAAACAgYQvAAAAAAMJXwAAAAAGEr4AAAAADCR8AQAAABhI+AIAAAAwkPAFAAAAYCDhCwAAAMBAwhcAAACAgYQvAAAAAAMJXwAAAAAGEr4AAAAADCR8AQAAABhI+AIAAAAwkPAFAAAAYCDhCwAAAMBAwhcAAACAgYQvAAAAAAMtKXypqt2r6pyq+lRVXVNVP15Ve1bVBVX1mf5/j163qup1VbWxqq6oqkdMLeeYXv8zVXXMUjsFAAAAsFos9cyXP0ny3tbajyT50STXJHlxkgtbawcmubCPJ8nhSQ7sf8cneWOSVNWeSU5M8ugkByU5cSawAQAAANjRLTp8qap7J/mpJKcmSWvtu621ryc5IsnpvdrpSY7sw0ckOaNNfDTJ7lV13yRPSnJBa+3m1trXklyQ5LDFtgsAAABgNVnKmS/7J9mc5C+q6hNV9edVdfcke7fWbux1vpRk7z68T5Lrp+bf1MvmKwcAAADY4a1Z4ryPSPLc1trFVfUnue0SoyRJa61VVVtKA6dV1fGZXLKU+9///su1WADYYT3l1BesdBMW5N3H/fFKNwEAYLtbypkvm5Jsaq1d3MfPySSM+XK/nCj9/019+g1J9puaf99eNl/5HbTWTmmtrW+trV+7du0Smg4AAACwfSw6fGmtfSnJ9VX1wF70hCSfTHJukpk7Fh2T5J19+NwkR/e7Hh2c5Bv98qTzkxxaVXv0H9o9tJcBAAAA7PCWctlRkjw3yVuratck1yZ5ZiaBztlVdVySzyf5xV73vCRPTrIxybd73bTWbq6q309ySa/3stbazUtsFwAAAMCqsKTwpbV2WZL1c0x6whx1W5Jnz7Oc05KctpS2AAAAAKxGS/nNFwAAAAC2QvgCAAAAMJDwBQAAAGAg4QsAAADAQMIXAAAAgIGELwAAAAADCV8AAAAABhK+AAAAAAwkfAEAAAAYSPgCAAAAMJDwBQAAAGAg4QsAAADAQMIXAAAAgIGELwAAAAADCV8AAAAABhK+AAAAAAwkfAEAAAAYSPgCAAAAMJDwBQAAAGAg4QsAAADAQMIXAAAAgIGELwAAAAADCV8AAAAABhK+AAAAAAwkfAEAAAAYSPgCAAAAMJDwBQAAAGAg4QsAAADAQMIXAAAAgIGELwAAAAADCV8AAAAABhK+AAAAAAwkfAEAAAAYSPgCAAAAMJDwBQAAAGAg4QsAAADAQMIXAAAAgIGELwAAAAADCV8AAAAABlqz0g0AAJjL0//qpJVuwoKd9UsnrXQTAIBVyJkvAAAAAAMJXwAAAAAGEr4AAAAADCR8AQAAABhoyeFLVe1SVZ+oqnf38f2r6uKq2lhVZ1XVrr18tz6+sU9fN7WMl/TyT1fVk5baJgAAAIDVYjnOfHl+kmumxl+V5OTW2gFJvpbkuF5+XJKv9fKTe71U1YOTPCPJQ5IcluQNVbXLMrQLAAAAYMUtKXypqn2T/GySP+/jleTxSc7pVU5PcmQfPqKPp09/Qq9/RJIzW2vfaa19LsnGJActpV0AAAAAq8VSz3x5bZIXJvnPPn6fJF9vrd3Sxzcl2acP75Pk+iTp07/R699aPsc8AAAAADu0RYcvVfWUJDe11i5dxvZs7TGPr6oNVbVh8+bN2+thAQAAABZtKWe+/GSSp1bVdUnOzORyoz9JsntVrel19k1yQx++Icl+SdKn3zvJV6fL55jndlprp7TW1rfW1q9du3YJTQcAAADYPhYdvrTWXtJa27e1ti6TH8x9X2vtl5O8P8nTerVjkryzD5/bx9Onv6+11nr5M/rdkPZPcmCSjy22XQAAAACryZqtV1mwFyU5s6penuQTSU7t5acmeUtVbUxycyaBTVprV1fV2Uk+meSWJM9urX1vQLsAAAAAtrtlCV9aaxcluagPX5s57lbUWvv3JL8wz/yvSPKK5WgLAAAAwGqy1LsdAQAAALAFwhcAAACAgYQvAAAAAAMJXwAAAAAGEr4AAAAADCR8AQAAABhI+AIAAAAwkPAFAAAAYCDhCwAAAMBAa1a6AQAA349+9e1/tNJNWLDTfv6ElW4CAOyQnPkCAAAAMJDwBQAAAGAg4QsAAADAQMIXAAAAgIGELwAAAAADCV8AAAAABhK+AAAAAAwkfAEAAAAYSPgCAAAAMNCalW4AAAA7n+e8+5SVbsKCvf4px690EwDYSTnzBQAAAGAg4QsAAADAQMIXAAAAgIGELwAAAAADCV8AAAAABhK+AAAAAAwkfAEAAAAYSPgCAAAAMJDwBQAAAGAg4QsAAADAQMIXAAAAgIGELwAAAAADCV8AAAAABhK+AAAAAAy0ZqUbAAAAO5rf/Ye3rXQTFuwVTzxqpZsA8H3LmS8AAAAAAwlfAAAAAAYSvgAAAAAMJHwBAAAAGEj4AgAAADCQ8AUAAABgILeaBgAAbufVH3zXSjdhQV74mP+20k0A2CJnvgAAAAAMtOjwpar2q6r3V9Unq+rqqnp+L9+zqi6oqs/0/3v08qqq11XVxqq6oqoeMbWsY3r9z1TVMUvvFgAAAMDqsJTLjm5JckJr7eNVdc8kl1bVBUmOTXJha+2VVfXiJC9O8qIkhyc5sP89Oskbkzy6qvZMcmKS9UlaX865rbWvLaFtAAAAd/CmDe9f6SYs2LPWP26lmwAs0aLPfGmt3dha+3gf/pck1yTZJ8kRSU7v1U5PcmQfPiLJGW3io0l2r6r7JnlSkgtaazf3wOWCJIcttl0AAAAAq8my/OZLVa1L8mNJLk6yd2vtxj7pS0n27sP7JLl+arZNvWy+cgAAAIAd3pLDl6q6R5K3J/mt1to3p6e11lomlxIti6o6vqo2VNWGzZs3L9diAQAAAIZZUvhSVXfOJHh5a2vtb3rxl/vlROn/b+rlNyTZb2r2fXvZfOV30Fo7pbW2vrW2fu3atUtpOgAAAMB2sZS7HVWSU5Nc01r746lJ5yaZuWPRMUneOVV+dL/r0cFJvtEvTzo/yaFVtUe/M9KhvQwAAABgh7eUux39ZJL/keTKqrqsl/1OklcmObuqjkvy+SS/2Kedl+TJSTYm+XaSZyZJa+3mqvr9JJf0ei9rrd28hHYBAAAArBqLDl9aax9MUvNMfsIc9VuSZ8+zrNOSnLbYtgAAAACsVks58wUAAIBV5G1XXbzSTViwox766JVuAgy3LLeaBgAAAGBuwhcAAACAgYQvAAAAAAMJXwAAAAAGEr4AAAAADCR8AQAAABhI+AIAAAAwkPAFAAAAYCDhCwAAAMBAwhcAAACAgYQvAAAAAAMJXwAAAAAGEr4AAAAADCR8AQAAABhI+AIAAAAwkPAFAAAAYCDhCwAAAMBAwhcAAACAgYQvAAAAAAMJXwAAAAAGEr4AAAAADCR8AQAAABhI+AIAAAAw0JqVbgAAAABsi/dsvGqlm0mc2BwAABg8SURBVLBghx/w0JVuAquAM18AAAAABhK+AAAAAAwkfAEAAAAYSPgCAAAAMJDwBQAAAGAg4QsAAADAQMIXAAAAgIGELwAAAAADCV8AAAAABhK+AAAAAAwkfAEAAAAYSPgCAAAAMJDwBQAAAGAg4QsAAADAQMIXAAAAgIHWrHQDAAAAgOTDm65d6SYs2E/s+0Mr3YQdgjNfAAAAAAYSvgAAAAAMJHwBAAAAGGjVhC9VdVhVfbqqNlbVi1e6PQAAAADLYVX84G5V7ZLkT5P8TJJNSS6pqnNba59c2ZYBAAAAy+HKm7640k1YkP/6A/dbtmWtljNfDkqysbV2bWvtu0nOTHLECrcJAAAAYMlWS/iyT5Lrp8Y39TIAAACAHVq11la6DamqpyU5rLX2a338fyR5dGvtObPqHZ/k+D76wCSf3o7N3CvJV7bj421PO3PfEv3b0enfjmtn7luifzs6/dtx7cx9S/RvR6d/O66duW+J/i23/9JaW7uQGVbFb74kuSHJflPj+/ay22mtnZLklO3VqGlVtaG1tn4lHnu0nblvif7t6PRvx7Uz9y3Rvx2d/u24dua+Jfq3o9O/HdfO3LdE/1aD1XLZ0SVJDqyq/atq1yTPSHLuCrcJAAAAYMlWxZkvrbVbquo5Sc5PskuS01prV69wswAAAACWbFWEL0nSWjsvyXkr3Y4tWJHLnbaTnblvif7t6PRvx7Uz9y3Rvx2d/u24dua+Jfq3o9O/HdfO3LdE/1bcqvjBXQAAAICd1Wr5zRcAAACAndL3XfhSVUdWVauqH9lKvd+qqrtNjZ9XVbuPb+HiVNX3quqyqrq6qi6vqhOqaod9fqvqB6vqzKr6bFVd2tf/D2+nx76uqvZaxuVtcZurqouqall/mbs/5oOXc5mLaMN9+jZ5WVV9qapu6MNfr6pPbuMynlVVR/fhN/fb0g9ZZ8utqn63vx6v6P1+9Dz11lfV6/rwsVW1eWq9nVFVT62qF2/f1s/Zzm16TVbVh1eifVsytX+8qqretZr35cthqr8zf+sWsYxjq+p+y9+6xZtnGzy+qt49T/0/n9kPzrdfr6qTqup/jW77turHir+cGl/T9wlz9nEry3p4VT15eVu4oMffpvdbve6tz9USH3NdVf3S1Pit+9eVVlXf6v/X9fXy8qlpe1XVf1TV62fNc1lVnTmr7NyZ42If/7Oq+t+j2z/bTH+mxo+d3f6dTVWdXFW/NTV+flX9+dT4H1XVC1amdVu3nPuXPv+iXrdVdchiH3OOZS3rc9Lb9hPL0bblMtcxfea9Vh++aoHLe3N/T75bH9+rqq7byjz3q6pztrGdO9xn0e15vNwhVsgyOyrJB/v/LfmtJLeGL621J7fWvj6yYUv0b621h7fWHpLkZ5IcnuTE2ZWqatX8zs98qqqSvCPJRa21B7TWHpnkJUn2XtmWLdq2bnPL6cgkCzogLve20Vr7at8mH57kTUlO7sMPT/Kf29Ke1tqbWmtnLLUtVbXLUpexwMf78SRPSfKI1trDkjwxyfVz1W2tbWitPW+q6KyZ9dZaO7q1dm5r7ZXbodnz2pbX5Mz201pbVW9aupn940OT3Jzk2SvdoMH+bWobenhr7bpFLOPYJKsmfFnMcaG19muttW0Keud4vJU6Vv5rkodW1V37+M8kuWGRy3p4kgW9mVzmfm/zsW8pz9Us65LcGr7MsX9dLT6X5Genxn8hye1uNFFVD8rkJhSPraq7T016XpL/U1W79w+Jj05y8uD2LrvZ29q2bnsr/D72Q0l+orfjTkn2SvKQqek/kWSrX0DsJPuX5XzdLsWyPCdTDplZ3rbaDs/nHY7py/Be63tJfnVbK7fWvthae9rs8ll936bPoqvUdjtefl+FL1V1jySPSXJcJrezTlXtUlV/WJNvRK+oqudW1fMyedP5/qp6f69367dmVfWCXv+qmbS1J4/X9G8grq6qv5/auW1XrbWbkhyf5Dk1cWz/puR9SS6sqntU1YVV9fGqurKqjpjqw6d6IvrPVfXWqnpiVX2oqj5TVQf1egdV1Ueq6hNV9eGqeuAyd+FxSf6jtfamqT5dnuSDVfWavt6vrKqn9/YcUlX/WFXvrKprq+qVVfXLVfWxXu8Bvd7aqnp7VV3S/36yl9+nP19X97S8evnL6vZp+iuq6vkL6cg829xda/Lt7TVV9Y4kd+3lz6qq10zNe+u3SFX1K70/l1XV/50JE6rqW71dl1fVR6tq7/5m7KlJXtPrP6CmzhSpqYR7jm3j7lV1Wn+sT8xsGwPsMtdrpbfztVW1Icnzaxu+la6qQ/v2+PGq+uu+zmdes6+qqo9n8sZ2e7pvkq+01r6TJK21r7TWvlhVj+qvmcv7Or5nbeUboFod3ybO95rcpar+qarOTfLJ5Hbf7i7pdTnQR5Ls0x/74f11c0VVvaOq9ujlF9Xk27QN/XX6qKr6m74fnP62+m9rcgbG1VV1/FT5HV6XvXzv/jiX97+ZN4xzvr6XS215n3+H41ZNzjBbn+StvU13rarf68/PVVV1SlXN7CefV1Wf7OvwzKq6U19Pa/v0O1XVxpnxJZhvG/ynJPeoqnNqcvx661Tbbt3vzVofv1uTY9wHkzxwqnz2/ueRfRu+tCbfpt53qt6r+nP2z1X12CX2bbbzctsH86OSvK0/7rzrtqp+oT83l1fVB6pq1yQvS/L0/hw+vebZv9cdjwNnVNWRU+vlrbXAY0HNfew7pK+7LT5X/fXzmr5N/kNN3nNcVJP9yFN7nXU12fd8vP/NfBB5ZSZhxWVV9ds1tX+tqj37a/aK/rp8WC8/qa+XmcfYHmHNt5NcM7V9Pj3J2bPqHJXkLUn+Psmt67+HqackeXWSNyZ5TmvtltENXoj+/Lyvr+sLq+r+vfzNVfWmqro4yavnGN/SPvnW1+YKdu3DSX68Dz8kyVVJ/qWq9qjJWQQPSnLoPPvK1dKHOfcvyR3PBOx9WNf3HX/X9y9X1W3vv6dft4f11+LlVXVhLxv9eSHZtuekzbMvn338WpfkWUl+u+9DHlvzf3Y4qareUlUfSvKW7b0fqVlnnvWyY/s+7oKavAd+Tk0+s36iv672nKr+2t7P2SFo1dyftdZVP8OmZh0z5mrfHJ9F71JVf9GX+Ymqelxf1h0+h/fy6c/d66vqoj58UlWdXpP9/+er6ueq6tV9ue+tqjv3ett8/K65j5dzbruz+16LOV621r5v/pL8cpJT+/CHkzwyyW8kOSfJml6+Z/9/XZK9pua9LpM09ZFJrkxy9yT3yOSbih/L5NuWW5I8vNc/O8mvbMe+fWuOsq9n8q3gsUk2TfVtTZJ79eG9kmzMJHCY6cN/zSSYuzTJaX3aEUn+ts9zr6n19cQkb1/mvjwvk7MkZpf/fJILMvkmaO8kX8jkQ+4hva/3TbJbJin+/+nzPD/Ja/vwXyV5TB++f5Jr+vDrkvxeH/7ZJK2vl3VJPt7L75Tks0nuswzb3AsyuZ16kjysr/P1SdYm2Tg173syefP6oCTvSnLnXv6GJEf34Zbkv/XhVyd5aR9+c5KnTS3roiTrp57z6/rw7G3jD2a22yS7J/nnJHdfhuf0pCT/qw/PbGd3eK30dr5hnvlu7dNMf3pfPjDTxiQvmnour0vywu31GpzV33skuayvvzck+ekkuya5Nsmjpl9HmWy/7556Pjb3eS9L8sxe9vqV6Mc2vCYPyeSbtP2nyr41NW3Rr8tlbv9Mm3ZJ8tdJDuvjVyT56T78sqk2XZTkVVNt/eJUPzal7wemXjd3zeQN30z5fK/Ls5L81lRb7p0tvL6X0N/vTW1D78jW9/nzvRbXTy1zz6nht0z174tJduvDu/f/J07189AswzFiK9vgN5Lsm8l++iNT29Otfcgdj+F3y+Q1uDG37WMuSt//JLlzJvvstX386bltv31Rkj/qw09O8g/Lua1mclw4J8ld+nN4SG7bR8y5bnuf9pn1PBybqX1H5tm/547HgZ/Obcf7e2dylsaaBfZjrmPftj5XLcnhffgdmYQPd07yo0ku6+V3S3KXPnxgkg1T28O7Z20fM+vu/0tyYh9+/NSyTupt3K1vI19Nfz0u519u2w+ty2R/8dQkf5hkv0w+wMx+vj6dyT7x0CTvmrWsO2fyHuity93OBfRnej9zWW/P6/u0dyU5pg//6tT29OYk706yyzzjW9onv2FkfxbQ78/15+V/ZvJB/fcz2Q/8ZCZh8Hz7yhXvQ7a+fzkpfX/Yx6/q2+vPJ/mzqfJ7T/Vp5v3r9envBXLbvmTOzwuZ9Tod/Jx8JPPvy+c6fs1eB/N9djgpk89Jd50aH7Ifyaxj+sxz2f+vS3JVHz42k2PaPftz8o0kz+rTTs5tx443J3laJp/xnpnbfy6Y77PW7Me59ZgxvX3N0faZz6InTK33H+nLvUu24XN438YumlrPH8xtx4Rv5/bHiyOziON37rj/nW/bvV3fs4jj5aq/BGWZHZXkT/rwmX18/yRvav1bg9bazVtZxmMy2fD/NUmq6m+SPDbJuUk+11q7rNe7NJMNdbW4YKpvleQPquqnMrn8Y5/cdur251prVyZJVV2d5MLWWquqK3Nbf+6d5PSqOjCTN0l33k59eEySt7XWvpfky1X1j0keleSbSS5prd3Y2/3ZTN6sJZM3pI/rw09M8uCafAmRJPeqybdzP5Xk55KktfZ3VfW1PnxdVX21qn4sk/XzidbaVxfY5rm2uQMyCXzSWruiqq7ow5t7Wn5wks9ksnP6UCaXSDwyySW97XdNclNf5nczeeOSTLa5n1lg+5LbbxuHJnlq3fbNx13SDzaLWO6WbOm1ctYClnNwJpdXfaivm10zOdAuZlnLprX2rap6ZCb7hsf1drwiyY2ttUt6nW8mydT2OOOs1tpzZkaq6tjt0eYl+P/bO98YK64qgP8OLbEY21VMjZoQttZYspZKaDVtLaYlfNA0JiJIQyot9YNiIpgm2mo0tUhNbZtqtEoaJQiW/jUtdSsWipQFUqRrgLLbLUUSXSlUQSqhDSBUOH44d/pmZ2dmZ96b93bJnt8Xlvdm3tyZe88595x77pluVf17xnd1y6WqDlrVaYBxIvISput2A+tFpA2bbG0Kx6zEAjMRnbG29sXu42+Ys/QGsEhEZobjJmBO4Btky+V04CaAoMeOisg8suW7Xk6obfEjtHks+Tq/iN26TkRuw5ze8djCwzOYs/SwiDwNPB2OXQ78HltZ+wrwmwbvZyi6VXU/QOjndmxylsY0zIYfD8d3Jr6PdMYlwKXYWAGbiP4zdtxT4d/KbX2wC+2Yvfhj4uusZ/sCsEJEnoi1LUmWfoeYHVDVTSKyVCzDZhY26SybWZFm+/5Asb46BawNf/cCJ1X17cQ8ZCzwCxGZgjkmRWrCXRPuB1V9Xizr9YLw3Rq1TMWTInIIk4/9xW+3LtZiTuJBErZKLJvgsKruE5EDwHIRGR+z1ZdhAaxJIjJGVYfcytsEknpmPuYkgWUifDH8/RAWhI74XdB/A/5fQCcPiz1PYSu2LeVq4CeYPr0ac3RfIFtXwgi4hyH0Sxa9wP0icg8WNNmS+P5KYHM0F4iN01b5C3l9cgDTfWm6PM1+JcnyHQA6VfVE7Nhm6ZEBsjYEG1X1LSz75yi1sdeL6Y04d2P2ZE3ssyxfqydxbtx3KMI1WAAcVX1VRP6B6e0ZlPPDAZ6N2YRzGGgv2qnGfueN3Ybs5agJvoilWk0HJouIYh2hwF8qvMzJ2N+nCdtJhgMR+UhoQzSJPxb7+kYsInp5GLz92CQMBt7Dmdj/z1AbL0sw4Z4ZFHhXxc3vwyKyZSjS7jHAlar63/iJKc5vnGVYlPOD2KS3MDljbmfOaY8Bc4BXMQdBxRq4UlW/m3L82xrCrVh/Z8n0/6htMzwv8V18bAgwS1X35LSxCvJk5RjFEUwJZtUUKPNblRIMVxfQFQzE2VxnJE8m855x3XJZMSdUdYpYEfV1WF+sHOKceFuT93GuiFyLTRquUtXjYimxkWwVlUuwMZwl31VRVOen2i0ROQ/LyLlCVV8TkTtj51+PBbA/D3xPRCaHYw6KyHTgU+H6jZI3BpP30MjcJhrPggXdrso4Lrpmo9fLohPLirgWeH/0YdazVdUFYkW9rwe2h+BvklT9Hs5LyvFvgS9jW4ZuKdPwHNu3hmJ9FZefd+RPVc9ILUX+Vixo8QlMhzSqP6ocQ4VQ1VMish1bEe7AMmEi5mKBlf7w/wsI2QdidS2WYv2zAFs5/mWz21shybFW1E4Pmz1PENUYmYxlhryG9eGbWDD016TrShg595CqXxg4V4TQdlX9q4hMxTIF7hKRDar6wwLXaba/EJHXJ11YVmCaLh9kv1KOyfMdkv3Zcj2SQpF5FwCqujcEwefUcZ0hx3KKL1qGPL8lbhOS9uJcqrHfeWO3IXs5mmq+zAYeUtWJqtquqhOw1KBdwNcigy61/XBvYWlbSbYAXxCRd4sVQJsZPhsxhOjbg1j6lKYc0gYcCpPw64CJJS/RRq1A1/y6G5rN88C7ZGANhcuw1LUbxPYHXogpzO4Sv/scsDD2m1EUeTOhQJ+IfA54X+yc1cBnsajvupL3kTXmtseudykDI9GrsS1ec7FADFg68mwR+UA4Z7yIDNVnyfHbj62uR+3KYh2wMAR8CFk/I5ltwKdF5KMAYvuSW/JWrDxE5JIQLY+YgmVcfEhEPhmOOV/OggLYgSyZrKLWRZZcVk7IdliETcqOAUekVq9jHrAp69wU2oAjIfAyCVv5G4oNmKMU7XNuoz75Lks9Oj+uQ6KJz+Gw4he9dWwMMEFVN2Jb/tqwLXdggetVDF7lrpeqxuBmzIaPE5HzsUl3GnuAC8WKZyMiY0Xk4xnHNoPl2Da93pTvBj1bEblYVV9U1TuwrYsTGGwHyuj3FdiLB9DyBTWzbF+VtXHasEzCM5jsRnWSsuZuYHO1G8Hqz2CZJW9W2KZ6uB+4Pb7aG+RqDjA5PL92avMCsK0Ve1W1C9vGfLs0XlOparYSav1gz3zIebKqHqUxndwqtmIF9f+jqqdD370Xy/aJCrsO0JUjkCz90g9MBQjBlovC3x8GjqvqKuC+6JgY24DPiEh0fORLNdtfiMjrk0dJ0eU59iupQ1o2RxkmfgTEaytuoTFfC0j1ReP692NY1uUebItTmh/eT81vmVXy8vXY72S/lxm7KyhhL0dT8GUu5tjGeRLbx7YP6BGRXdSq5P8KWCuh4G6Equ7AHnI38CKwTFXzMhlaxTgJr/cC/oQpi8UZxz4MXBFW42/CsizKcC9wt4jspAlR3SCkM4EZYq8U7cNS4x7B0t52YRPx21T1XyV+ehF23z1irzpeED5fjBmNPixNdl+sLaeAjcATdTgQWWPuIqxA5G5sT/P22PWOYE76RFXtDp+9AnwfeE5si9J6bNzm8RjwbbFCURdjKxxfD32W9xrtJVhqXU94HksK3ekwoar/xpTio+HZ/BnbrjXcvAdLV3wltKsDuAPbd/pA0DXrGRzNH5HkyGQZ+csiSy6bQtDXPZh83owVpu7BAmRFVvIi1mIZMLuxIp/bCpzzTSwlvReT+4465bss9ej8FcCDYVXsJLaa+zLmwEcZo+cAq8Lv7gR+rrW3AnZiclDJlqOqxmCw4Y9jduRZMrJfg+6fDdwT5PUlSr4BoxFUdb+qZr0iOe3Z3idWcPBlzBHZhdmujjA3uIES+l1VD2K2qJ7+y7J9Vb7xbylwc+ibSdRWInuA02JFP29NnHMncHmQsx9j8j+sqGqfqiaz8KYBB1T19dhnm7G+nIg5it8K57+ObUG7l5HFQuCW8KznUbzAbCM6uVX0YvOobYnPjqrqYdJ15YgiR788CYwP+uEbWF0osIyS7mAPfgDcFT8pzMW+CjwVZDLaXtVUfyFGXp8cIl2XZ9mvZ4CZQW9Oo8VzlFajqn3AjthHq6nf18rzRZcCY8LzfhyYr7ZFaxnpfvhi4GdiBapL+V912u+kvSw8dsvaS0lPjHAcB95ZgdoBfElV9w53exzHcc4GxGpW/FRVq34T0KinFc9WbIteLzA1ZCQ4juM4jpOgrL0cTZkvjlMKEenAqoZv8MCL4zhOMUTkO9gKajPr2IxKWvFsRWQGtor3gAdeHMdxHCedeuylZ744juM4juM4juM4juM0Ec98cRzHcRzHcRzHcRzHaSIefHEcx3Ecx3Ecx3Ecx2kiHnxxHMdxHMdxHMdxHMdpIh58cRzHcRzHcRzHcRzHaSIefHEcx3Ecx3Ecx3Ecx2kiHnxxHMdxHMdxHMdxHMdpIv8HXI8EzdKKym0AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1368x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "V7ZkB2fKigXe",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta : votos por filme por genero\n",
        "\n",
        "Queremos entender a quantidade de votos em relação a quantidade de filmes existentes naquele genero.\n",
        "\n",
        "Por exemplo: \n",
        "- se temos 1000 votos de `Ação` e 10 filmes desse genero, foram 100 votos por filme nesse genero.\n",
        "- se o gênero `Documentário` tem 2 filmes e 500 votos, ele tem 250 votos por filme nesse gênero.\n",
        "\n",
        "Queremos entender isso, a \"popularidade\" média de um filme em cada categoria, isto é, o número de votos dividido pelo número de filmes, organizado para cada categoria.\n",
        "\n",
        "- Você já possui o número de votos por genero\n",
        "- Calcule o número de votos por genero dividido pelo total de filmes por genero\n",
        "- Ordene do maior para o menor\n",
        "- Plote um gráfico para visualizarmos esses dados"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8cZA1Fc3igXg",
        "colab_type": "code",
        "outputId": "4fffa302-b443-4d57-a3ac-44b034268283",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 411
        }
      },
      "source": [
        "# solucao código\n",
        "votos_por_filme_por_genero = pd.Series()#Criando lista vazia\n",
        "for genero in votos_por_genero.index:#selecionando os indices(generos) para realizar o calculo.\n",
        "  votos_por_filme_por_genero[genero]=(votos_por_genero[genero]/filmes_por_genero[genero]).round(3)# Arrendondando pra 3 casa decimais pra facilitar a leitura\n",
        "votos_por_filme_por_genero.sort_values(ascending=False,inplace=True)#Colocando os valores em ordem decrescente para facilitar a leitura dos dados.\n",
        "votos_por_filme_por_genero"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:2: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning.\n",
            "  \n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "War            111.211\n",
              "Crime           99.414\n",
              "Adventure       99.371\n",
              "Thriller        98.405\n",
              "SciFi           97.707\n",
              "Action          95.939\n",
              "Animation       95.812\n",
              "Drama           93.042\n",
              "Children        92.149\n",
              "Mystery         90.842\n",
              "Fantasy         90.803\n",
              "IMAX            89.000\n",
              "Romance         87.576\n",
              "Musical         86.762\n",
              "Horror          85.192\n",
              "Comedy          84.696\n",
              "Western         75.000\n",
              "FilmNoir        72.750\n",
              "Documentary     54.000\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xWnPKIorigXm",
        "colab_type": "code",
        "outputId": "4ec06313-4d4a-4481-f4e6-36eb67d0ea46",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 516
        }
      },
      "source": [
        "# solução visualização\n",
        "plt.figure(figsize=(19,8))#alterando tamanho da figura\n",
        "ax = sns.barplot(x=votos_por_filme_por_genero.index,y=votos_por_filme_por_genero.values,#indicando os eixos do gráfico\n",
        "                 palette=sns.color_palette('BuGn_r',n_colors=len(votos_por_filme_por_genero)+5))#plotando barrra alem de adicionar uma palette que tenha sentido com o gráfico\n",
        "ax.set_title('Votos por filme por gênero')#Colocando título."
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Votos por filme por gênero')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1368x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FtJ_bGuXigXq",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: Olhando as 3 últimas visualizações o que você conclui sobre os generos `Action` e `War`?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uJ1u2zTyigXr",
        "colab_type": "text"
      },
      "source": [
        "### Solução (texto livre):\n",
        "Mesmo que os filmes de ação estejam no top 3, tanto na quantidade de votos por filme quanto na quantidade de filmes por generos, o mesmo fica de fora do top 3 de votos por filme por gênero.\n",
        "\n",
        "Ao contrario dos filmes de guerra que mesmo com poucos votos e filmes produzidos está em primeiro em votos por filme por gênero.\n",
        "\n",
        "O que leva algumas hipóteses ***sobre os dados obtidos***:\n",
        "  - Muitos filmes de ação são pouco relevantes e recebem poucos votos.\n",
        "  - Poucos são os filmes de ação que são relevantes a ponto de receber voto.\n",
        "  - Filmes de guerra são muito discutidos para aqueles que assistem,logo filmes desse gênero geralmente tem alta relevância e receberá varios votos.\n",
        "\n",
        "    "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_BIGCfHCigXr",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: Crie 2 boxplots no mesmo plot comparando a coluna `total_de_votos` dos filmes de categoria `Horror` e `Adventure`  \n",
        "\n",
        "Dica:\n",
        "\n",
        "- as vezes é mais fácil usar o boxplot do matplotlib ao invés do seaborn\n",
        "- plt.boxplot suporta o parâmetro labels com uma lista de nomes para cada boxplot plotado"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dDQmpsdjigXs",
        "colab_type": "code",
        "outputId": "a6ba56bf-ef19-40bb-8383-124d9ef98de4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 444
        }
      },
      "source": [
        "# solução:\n",
        "plt.figure(figsize=(10,7))#Ajustando o tamanho da figura\n",
        "ax=plt.boxplot([filmes.query('Adventure == 1').total_de_votos,filmes.query('Horror == 1').total_de_votos],labels=['Adventure','Horror'])#Plotando a imagem com descrição dos labels\n",
        "plt.title('Distribuição do total de votos por gênero')#Colocando titulo\n",
        "plt.show()#Retirando as linhas de carregamento do boxplot"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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SdG+LDlZJjgDeBTy/qr4KvB54KHAacAvwyv05cFWdX1WjVTW6bt26/dlUK9DExARjY2NMTU0xMzPD1NQUY2NjTExMDLo0SZLutmoxnZKspheq3lpV7waoqlv71v8V8Hfd05uAE/s2P6Frkw7Yxo0bARgfH2f79u0MDw+zadOmu9slSVoKFjN5PcAFwO1V9fy+9mOr6pZu+TeBH6mqpyX5XuBt3DN5/TLgVCevS5Kkw8G+Jq8vZsTq0cAzgU8kubJrezGwMclpQAHXAb8CUFVXJ7kI+CRwF/C8fYUqSZKkw8WCwaqqpoHMseq9+9hmE7DpIOqSJEladvzkdUmSpEYMVpIkSY0YrCRJkhoxWEmSJDVisJIkSWrEYCVJktSIwUqSJKkRg5UkSVIjBitJkqRGDFaSJEmNGKy0bExOTjIyMsLQ0BAjIyNMTk4OuiRJkvawmP+EWRq4yclJJiYm2LJlC+vXr2d6epqxsTEANm7cOODqJEnqSVUNugZGR0dr69atgy5DS9jIyAibN29mw4YNd7dNTU0xPj7Otm3bBliZJGmlSXJFVY3Ouc5gpeVgaGiIXbt2sXr16rvbZmZmWLNmDbt37x5gZZKklWZfwco5VloWhoeHmZ6e3qNtenqa4eHhAVUkSdK9Gay0LExMTDA2NsbU1BQzMzNMTU0xNjbGxMTEoEuTJOluTl7XsjA7QX18fJzt27czPDzMpk2bnLguSVpSnGMlSZK0H5xjJUmSdB8wWEmSJDVisJIkSWrEYCVJktSIwUqSJKkRg5UkSVIjBitJkqRGDFaSJEmNGKwkSZIaMVhJkiQ1YrCSJElqxGAlSZLUiMFKkiSpEYOVJElSIwYrSZKkRgxWkiRJjRisJEmSGjFYSZIkNWKwkiRJasRgJUmS1IjBSpIkqRGDlSRJUiMGK0mSpEYMVpIkSY0YrCRJkhoxWEmSJDVisJIkSWrEYCVJktSIwUqSJKmRVYMuQAJIckj2W1WHZL+SJM3FYKUlYX8CUBIDkyRpSfJWoCRJUiMGK0mSpEYMVpIkSY0YrCRJkhoxWEmSJDVisJIkSWrEYCVJktSIwUqSJKkRg5UkSVIjBitJkqRGDFaSJEmNGKwkSZIaMVhJkiQ1YrCSJElqxGAlSZLUiMFKkiSpEYOVJElSIwYrSZKkRhYMVklOTDKV5JNJrk7yG137UUkuTfLZ7uvarj1JXpPkmiRXJfnBQ30SkiRJS8FiRqzuAl5QVQ8HHgU8L8nDgRcCl1XVqcBl3XOAnwJO7R7nAK9vXrUkSdIStGCwqqpbqupj3fIdwHbgeOAM4IKu2wXAmd3yGcCbqudy4CFJjm1euSRJ0hKzX3OskpwC/ADwr8AxVXVLt+oLwDHd8vHADX2b3di17b2vc5JsTbJ1x44d+1m2JEnS0rPoYJXkCOBdwPOr6qv966qqgNqfA1fV+VU1WlWj69at259NJUmSlqRFBaskq+mFqrdW1bu75ltnb/F1X2/r2m8CTuzb/ISuTZIk6bC2mL8KDLAF2F5Vr+pbdQlwdrd8NvCevvZf7P468FHAV/puGUqSJB22Vi2iz6OBZwKfSHJl1/Zi4BXARUnGgOuBs7p17wWeCFwDfB14dtOKJUmSlqgFg1VVTQOZZ/Vj5uhfwPMOsi5JkqRlx09elyRJasRgJUmS1IjBSpIkqRGDlSRJUiMGK0mSpEYMVpIkSY0YrCRJkhoxWEmSJDVisJIkSWrEYCVJktSIwUqSJKkRg5UkSVIjBitJkqRGDFaSJEmNGKwkSZIaMVhJkiQ1YrCSJElqxGAlSZLUiMFKkiSpEYOVJElSIwYrSZKkRgxWkiRJjRisJEmSGjFYSZJWtMnJSUZGRhgaGmJkZITJyclBl6RlbNWgC5AkaVAmJyeZmJhgy5YtrF+/nunpacbGxgDYuHHjgKvTcuSIlSRpxdq0aRNbtmxhw4YNrF69mg0bNrBlyxY2bdo06NK0TKWqBl0Do6OjtXXr1kGXoWUiCUvhdStp+RsaGmLXrl2sXr367raZmRnWrFnD7t27B1iZlrIkV1TV6FzrHLGSJK1Yw8PDTE9P79E2PT3N8PDwgCrScmewkiStWBMTE4yNjTE1NcXMzAxTU1OMjY0xMTEx6NK0TDl5XZK0Ys1OUB8fH2f79u0MDw+zadMmJ67rgDnHSsuOc6wkSYPkHCtJkqT7gMFKkiSpEYOVJElSIwYrSZKkRgxWkiRJjRisJEmSGjFYSZIkNWKwkiRJasRgJUmS1IjBSpIkqRGDlSRJUiMGK0mSpEYMVpIkSY0YrCRJkhoxWEmSJDVisJIkSWrEYCVJktSIwUqSJKkRg5UkSVIjBitJkqRGDFaSJEmNGKwkSZIaMVhJkiQ1YrCSJElqxGAlSZLUiMFKkiSpEYOVJElSIwYrSZKkRgxWkiRJjRisJEmSGjFYSZIkNWKwkiRJasRgJUmS1IjBSpIkqRGDlSRJUiMLBqskb0hyW5JtfW3nJbkpyZXd44l9616U5Jokn07y+ENVuCRJ0lKzmBGrNwJPmKP9z6rqtO7xXoAkDweeBnxvt83rkgy1KlaSJGkpWzBYVdWHgNsXub8zgAur6htVdS1wDfDIg6hPkiRp2TiYOVa/luSq7lbh2q7teOCGvj43dm33kuScJFuTbN2xY8dBlCFJkrQ0HGiwej3wUOA04Bbglfu7g6o6v6pGq2p03bp1B1iGJEnS0nFAwaqqbq2q3VX1TeCvuOd2303AiX1dT+jaJEmSDnsHFKySHNv39GeA2b8YvAR4WpJvSfIdwKnARw+uREmSDp3JyUlGRkYYGhpiZGSEycnJQZekZWzVQh2STAKnA0cnuRE4Fzg9yWlAAdcBvwJQVVcnuQj4JHAX8Lyq2n1oSpck6eBMTk4yMTHBli1bWL9+PdPT04yNjQGwcePGAVen5ShVNegaGB0dra1btw66DC0TSVgKr1tJy9/IyAibN29mw4YNd7dNTU0xPj7Otm3b9rGlVrIkV1TV6JzrlsIPKIOV9ofBSlIrQ0ND7Nq1i9WrV9/dNjMzw5o1a9i92xsumtu+gpX/pY0kacUaHh5menp6j7bp6WmGh4cHVJGWO4OVJGnFmpiYYGxsjKmpKWZmZpiammJsbIyJiYlBl6ZlasHJ65IkHa5mJ6iPj4+zfft2hoeH2bRpkxPXdcCcY6VlxzlWkqRBco6VJEnSfcBgJUmS1IjBSpIkqRGDlSRJUiMGK0mSpEYMVpIkSY0YrCRJkhoxWEmSJDVisJIkSWrEYCVJktSIwUqSJKkRg5UkSVIjBitJkqRGDFaSJEmNGKwkSZIaMVhJkiQ1YrCSJElqxGAlSZLUiMFKkiSpEYOVJElSIwYrSZKkRgxWkiRJjRisJEmSGjFYSZIkNWKwkiRJasRgJUmS1MiqQRcgSdKhkuSQ7LeqDsl+tfwZrCRJh639CUBJDEw6aN4KlCRJasQRKx1SRx11FDt37my+39bD+2vXruX2229vuk9J0spjsNIhtXPnzmUxtH6o5mFIklYWbwVKkiQ1YrCSJElqxGAlSZLUiMFKkiSpEYOVJElSIwYrSZKkRgxWkiRJjRisJEmSGjFYSZIkNWKwkiRJasRgJUmS1IjBSpIkqRGDlSRJUiMGK0mSpEYMVpIkSY0YrCRJkhoxWEmSJDVisJIkSWrEYCVJktSIwUqSJKkRg5UkSVIjBitJkqRGDFaSJEmNGKwkSZIaMVhJkiQ1YrCSJElqxGAlSZLUiMFKkiSpEYOVJElSIwYrSZKkRgxWkiRJjSwYrJK8IcltSbb1tR2V5NIkn+2+ru3ak+Q1Sa5JclWSHzyUxUuSJC0lixmxeiPwhL3aXghcVlWnApd1zwF+Cji1e5wDvL5NmZIkSUvfgsGqqj4E3L5X8xnABd3yBcCZfe1vqp7LgYckObZVsZIkSUvZgc6xOqaqbumWvwAc0y0fD9zQ1+/Gru1ekpyTZGuSrTt27DjAMiRJkpaOg568XlUF1AFsd35VjVbV6Lp16w62DEmSpIE70GB16+wtvu7rbV37TcCJff1O6NokSZIOewcarC4Bzu6Wzwbe09f+i91fBz4K+ErfLUNJkqTD2qqFOiSZBE4Hjk5yI3Au8ArgoiRjwPXAWV339wJPBK4Bvg48+xDULEmStCQtGKyqauM8qx4zR98CnnewRUmSJC1HfvK6JElSIwYrSZKkRgxWkiRJjRisJEmSGjFYSZIkNWKwkiRJasRgJUmS1IjBSpIkqRGDlSRJUiMLfvK6JElLzVFHHcXOnTub7zdJ0/2tXbuW22+/vek+tbQZrCRJy87OnTvp/S9qS1vroKalz1uBkiRJjRisJEmSGjFYSZIkNeIcKx1Sde6D4LwHD7qMBdW5Dxp0CZKkw4DBSodUXvrVZTPBtM4bdBWSpOXOW4GSJEmNGKwkSZIaMVhJkiQ1YrCSJElqxGAlSZLUiMFKkiSpEYOVJElSIwYrSZKkRgxWkiRJjRisJEmSGjFYSZIkNWKwkiRJasRgJUmS1IjBSpIkqRGDlSRJUiMGK0mSpEYMVpIkSY0YrCRJkhoxWEmSJDVisJIkSWrEYCVJktSIwUqSJKkRg5UkSVIjBitJkqRGDFaSJEmNGKwkSZIaMVhJkiQ1YrCSJElqxGAlSZLUiMFKkiSpEYOVJElSIwYrSZKkRgxWkiRJjRisJEmSGlk16AIkSdpfde6D4LwHD7qMBdW5Dxp0CbqPGawkSctOXvpVqmrQZSwoCXXeoKvQfclbgZIkSY04YqVDLsmgS1jQ2rVrB12CJOkwYLDSIXUohuqTLItbAJKklcdbgZIkSY0YrCRJkhoxWEmSJDVisJIkSWrEYCVJktSIwUqSJKkRP25BkrQs+Rl5WooMVpKkZcfPyNNS5a1ASZKkRgxWkiRJjRisJEmSGjmoOVZJrgPuAHYDd1XVaJKjgLcDpwDXAWdV1c6DK1OSJGnpazFitaGqTquq0e75C4HLqupU4LLuuSRJ0mHvUNwKPAO4oFu+ADjzEBxDkiRpyTnYYFXAPyW5Isk5XdsxVXVLt/wF4JiDPIYkSdKycLCfY7W+qm5K8u3ApUk+1b+yqirJnB8K0gWxcwBOOumkgyxDy93+ftDfYvv7mTTSyuZ7i+5rBxWsquqm7uttSS4GHgncmuTYqrolybHAbfNsez5wPsDo6Kiv0BXONylJh4LvLbqvHfCtwCQPTHLk7DLwk8A24BLg7K7b2cB7DrZISZKk5eBgRqyOAS7uhk1XAW+rqn9M8m/ARUnGgOuBsw6+TEmSpKXvgINVVX0O+P452r8EPOZgipIkSVqO/OR1SZKkRgxWkiRJjRisJEmSGjFYSZIkNWKwkiRJasRgJUmS1IjBSpIkqRGDlSRJUiMGK0mSpEYMVpIkSY0YrCRJkhoxWEmSJDWSqhp0DSTZAVw/6Dq0bBwNfHHQRUg67PjeosU6uarWzbViSQQraX8k2VpVo4OuQ9LhxfcWteCtQEmSpEYMVpIkSY0YrLQcnT/oAiQdlnxv0UFzjpUkSVIjjlhJkiQ1YrCSJElqxGCl5pKcmaSSfM886z+QpOmfNHfHfHjLfUpafpLcudfzZyV57aDq0cpjsNKhsBGY7r7eV84E9itYJVl1iGqRtEzt/b6w2PcJ3080y2ClppIcAawHxoCndW0PSHJhku1JLgYe0LU/J8mf9G1792+WSZ6R5KNJrkzyl0mGuvY7k2xK8u9JLk9yTJIfBZ4C/EnX/6H9o2JJjk5yXd8xLknyfuCyJA9M8obuWB9PcsZ9da0k3beSnJLk/UmuSnJZkpO69jcm+Ysk/wr88RzPT+veb65KcnGStd12H0jy6iRbgd8Y4KlpCTFYqbUzgH+sqs8AX0ryQ8Bzga9X1TBwLvBDXd93AT/Tt+3PAxcmGe6WH11VpwG7gad3fR4IXF5V3w98CPjlqvowcAnwO1V1WlX9xwI1/iDw1Kr6cWACeH9VPRLYQC+cPfBgLoCkgXpA9wvWlUmuBF7Wt24zcEFVPQJ4K/CavnUnAD9aVb81x/M3Ab/XbfcJeu9js+5fVaNV9cpDdUJaXhy6VGsbgT/vli/snj+M7g2sqq5KclW3vCPJ55I8Cvgs8D3AvwDPoxe+/i0J9Ea4buv2+cqIXykAAAG3SURBVF/A33XLVwCPO4AaL62q27vlnwSekuS3u+drgJOA7QewX0mD95/dL2RAb5QamJ3T+d+Bn+2W3wz8cd9276iq3Xs/T/Jg4CFV9cGu/QLgHX393t6yeC1/Bis1k+Qo4CeA70tSwBBQwMf3sdmFwFnAp4CLq6rSS1MXVNWL5ug/U/d8+Npu5n8N38U9I7Jr9lr3tf6ygf9ZVZ/eR42SDn9fW+D5YrfTCuetQLX0VODNVXVyVZ1SVScC19IbWfoFgCQjwCP6trmY3u3DjfRCFsBlwFOTfHu3zVFJTl7g2HcAR/Y9v457bjk+dR/b/T9gvAtzJPmBBY4jafn6MN3cT3rTC/55oQ2q6ivAziQ/1jU9E/jgPjbRCmewUksb6QWlfu8CvgM4Isl2evMdrphdWVU76d12O7mqPtq1fRJ4CfBP3W3DS4FjFzj2hcDvdBPQHwr8KfDcJB8Hjt7Hdn8ArAauSnJ191zS4WkceHb3vvJMFj/h/Gx68y+vAk5jz3lb0h78L20kSZIaccRKkiSpEYOVJElSIwYrSZKkRgxWkiRJjRisJEmSGjFYSZIkNWKwkiRJauT/A7WRHb4QjXkHAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HlT71aC7igXz",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: mostre agora um boxplot para cada uma das categorias\n",
        "\n",
        "Dica:\n",
        "- use generos.columns para acessar todos os gêneros\n",
        "- já removemos os hífens dos nomes das colunas quando criamos as colunas de gêneros\n",
        "- plt (pyplot) do matplotlib suporta a função xticks(rotation=90) para rotacionar os labels"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5qS8tlumigX0",
        "colab_type": "code",
        "outputId": "35627d5b-60a2-4aec-93ad-093661aaa73b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 445
        }
      },
      "source": [
        "x=[]#Criando lista.\n",
        "for genero in generos.columns:#Selecionando cada genero\n",
        "  x.append(filmes.query(f'{genero} == 1').total_de_votos)#Colocando o total_de_votos por filme de cada gênero \n",
        "plt.figure(figsize=(19,7))#Ajustando o tamanho da figura\n",
        "plt.boxplot(x,labels=generos.columns)#Plotando a imagem com descrição dos labels(gêneros)\n",
        "plt.show#Retirando as linhas de carregamento do boxplot"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<function matplotlib.pyplot.show>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1368x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TwL6GSfnigX6",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: desejo criar um filme com somente um dos gêneros: `Horror` ou `Adventure`. Quero ter uma chance maior de ter um faturamento que pague minhas contas, mesmo que não seja um super sucesso absurdo de vendas. Qual dos 2 gêneros você sugere?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qFbFYSEfigX7",
        "colab_type": "text"
      },
      "source": [
        "### Solução:\n",
        "    Ao observar o gráfico acima nota-se que: A mediana dos filmes de aventura possui uma quantidade de votos superior a mediana dos filmes de horror. Logo 50% dos filmes de aventura tiveram maior revelancia que 50% dos filmes de horror.\n",
        "\n",
        "    Portanto, relacionando relevancia e faturamento como fatores diretamente proporcionais, conclui-se que: Criar um filme de aventura tem mais chance de pagar as contas do que um filme de horror.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rX35DaCEigX7",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: nossa análise foi até então visual. Aplique um teste estatístico para verificar se existe significância estatística na distribuição dos votos dos filmes de `Adventure` e `Horror`. Sua recomendação continua a mesma? Explique.\n",
        "\n",
        "Passos:\n",
        "\n",
        "- visualize a distribuição de ambas através de histogramas\n",
        "- se suspeitar normalidade na distribuição, faça um teste de normalidade para ambas\n",
        "- aplique um teste adequado de comparação das distribuições\n",
        "- explique o resultado encontrado\n",
        "- utilize p=0.05"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OXc7z3xkigX8",
        "colab_type": "code",
        "outputId": "e7ef735a-a526-4d3b-867d-af4d63f8df9c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 459
        }
      },
      "source": [
        "# solucao histograma de aventura\n",
        "plt.figure(figsize=(10,7))\n",
        "sns.distplot(filmes.query('Adventure == 1').total_de_votos)\n",
        "plt.title('Frequencia relativa do total de votos no gênero aventura')\n",
        "plt.show()"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pG92D1gmigYE",
        "colab_type": "code",
        "outputId": "3743e101-39bb-4804-9b0a-ffd14c7b7e0f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 459
        }
      },
      "source": [
        "# solucao histograma de horror\n",
        "plt.figure(figsize=(10,7))\n",
        "sns.distplot(filmes.query('Horror == 1').total_de_votos)\n",
        "plt.title('Frequencia relativa do total de votos no gênero horror')\n",
        "plt.show()"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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v9r7R1nXO/cA5t9I5t7K0tHTyixURERGZROMJX/XAjKjH071poy5jZiEgHzjkPZ4OPAq83zm3e3gF51y99283cB+R7k0RERGRpDae8PUKMN/M5phZOnAzsGrEMquAD3j3bwSecs45MysAfg/c6Zx7fnhhMwuZWYl3Pw14O7D11HZFREREJP4dN3x5Y7g+SeRIxWrgIefcNjP7qpld5y32Y6DYzGqAO4Dh01F8EqgC7hpxSokM4Akz2wxsJNJy9sOJ3DERERGReHTcU00AOOdWA6tHTLsr6v5R4KZR1vsa8LUxNrti/GWKiIiIJAed4V5EREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJI4UtEREQkhhS+RERERGJoXOHLzK42s51mVmNmd44yP8PMHvTmv2Rms73pV5rZOjPb4v17edQ6K7zpNWb232ZmE7VTIiIiIvHquOHLzILAd4FrgEXAe81s0YjFPgS0O+eqgLuBb3jTW4FrnXNnAB8Afh61zveBjwDzvdvVp7AfIiIiIglhPC1fZwM1zrk9zrl+4AHg+hHLXA/c491/GLjCzMw5t8E51+BN3wZkeq1k04A859wa55wD7gXeccp7IyIiIhLnxhO+KoHaqMd13rRRl3HODQKdQPGIZW4A1jvn+rzl646zTQDM7KNmttbM1ra0tIyjXBEREZH4FZMB92a2mEhX5O0nuq5z7gfOuZXOuZWlpaUTX5yIiIhIDI0nfNUDM6IeT/emjbqMmYWAfOCQ93g68Cjwfufc7qjlpx9nmyIiIiJJZzzh6xVgvpnNMbN04GZg1YhlVhEZUA9wI/CUc86ZWQHwe+BO59zzwws75xqBLjM71zvK8f3AY6e4LyIiIiJx77jhyxvD9UngCaAaeMg5t83Mvmpm13mL/RgoNrMa4A5g+HQUnwSqgLvMbKN3K/PmfRz4EVAD7AYen6idEhEREYlXofEs5JxbDaweMe2uqPtHgZtGWe9rwNfG2OZaYMmJFCsiIiKS6HSGexEREZEYUvgSERERiSGFLxEREZEYUvgSERERiSGFLxEREZEYUvgSERERiSGFLxEREZEYUvgSERERiSGFLxEREZEYUvgSERERiSGFLxEREZEYUvgSERERiSGFLxEREZEYUvgSERERiSGFLxEREZEYUvgSERERiSGFLxEREZEYUvgSERERiSGFLxEREZEYUvgSERERiSGFLxEREZEYUvgSERERiSGFLxEREZEYUvgSERERiSGFLxEREZEYUvgSERERiSGFLxEREZEYUvgSERERiSGFLxEREZEYUvgSERERiSGFLxEREZEYUviSSXN0YIj+wbDfZYiIiMSVkN8FSPLpHwzzXE0rz+5qITMtyA3Lp1NVluN3WSIiInFB4UsmzFDYsf5AO09WN9N9dJDTp+XR2t3HT57fy3nzirlqUTnpITW2iohIalP4kgnhnOPeF/ex62APM4uyuOXsmcwqzmZgKMwftjXx4u5D7Gru4eY3zaCiINPvckVERHyjZgiZENsbu9h1sIerFpdz+8VzmVWcDUBaMMC1Syv44AVz6B8c4r6XDzA4pHFgIiKSuhS+5JQNhR1/2NpEaW4GF1aVYGZvWKaqLIcblk+nrbefNXvbfKhSREQkPih8ySl7eV8bh3r7uWZxOcHAG4PXsPlTc5lflsPTOw5yuH8whhWKiIjED4UvOSVHB4Z4qrqZOSXZLCjPPe7y1yyZxtGBIZ7Z2RKD6kREROKPwpeckmdfbaG3f4i3Lpk2anfjSOX5U1gxq5AXdx/iUE9fDCoUERGJLwpfctI6jwzwXE0rZ07Pp7Jw/EcwvnnRVAIBeGJ78yRWJyIiEp8UvuSkPVndjAPesqj8hNbLm5LGxfNL2VrfyYFDvZNTnIiISJxS+JKT0j8YZnNdBytmFlKYnX7C6180v5TcjBB/3nFwEqoTERGJXwpfclJ2NnczMORYOj3/pNZPDwVYObuImoM9dB4ZmODqRERE4pfCl5yULfWd5GSEmF2SfdLbOGtmAQ7YVNsxcYWJiIjEOYUvOWH9g2F2NnWxuCKPwDiOcBxLSU4GM4uyWH+gHefcBFYoIiISvxS+5IQNdzkuqTy5LsdoZ80s4GB3Hw2dRyegMhERkfin8CUnbGt9J9kZIeacQpfjsKWVBQQDxoYD7RNQmYiISPxT+JIT0j8YZscEdDkOy0wPcnp5LptqOxgKq+tRRESSn8KXnJBXvS7HMyagy3HY8pmF9PYP8Wpz94RtU0REJF4pfMkJ2VLfSXZ6kNnFp97lOGz+1Fyy04PqehQRkZSg8CXjNjAUZmdTN4sr8gkGTr3LcVgwYJw5o4Dqpm6O9A9N2HZFRETikcKXjNvOpm76h8ITcpTjSMtnFjIUdmyu1zm/REQkuSl8ybhtbegkKz04IUc5jjQtfwpluRlsruuc8G2LiIjEE4UvGZewc+xq7mFhee6EdjkOMzMWTctj/6FedT2KiEhSU/iScTnY1ceRgSHmluRM2nMsKM8l7GDXQR31KCIiyUvhS8Zlb2sPwKR0OQ6bUZRFVnqQnU0KXyIikrwUvmRc9rb2UpCZRmF2+qQ9R8CMBVNz2dncTVjXehQRkSQ1rvBlZleb2U4zqzGzO0eZn2FmD3rzXzKz2d70YjN72sx6zOw7I9Z5xtvmRu9WNhE7JBPPOcfe1t5JbfUatqA8l8P9Q9S2HZ705xIREfHDccOXmQWB7wLXAIuA95rZohGLfQhod85VAXcD3/CmHwW+BHx+jM3/nXNumXc7eDI7IJPvYHcfvf1DMQlf88tyCRjsUNejiIgkqfG0fJ0N1Djn9jjn+oEHgOtHLHM9cI93/2HgCjMz51yvc+45IiFMEtTe1l5gcsd7DctMDzKrOFvjvkREJGmNJ3xVArVRj+u8aaMu45wbBDqB4nFs+6del+OXzCbgKs0yKfa29pI3JUTRJI73irawPJemrqN0HO6PyfOJiIjEkp8D7v/OOXcGcJF3e99oC5nZR81srZmtbWlpiWmBEhnvtc8b7xWrfLygPBdQ16OIiCSn8YSvemBG1OPp3rRRlzGzEJAPHDrWRp1z9d6/3cB9RLo3R1vuB865lc65laWlpeMoVyZSa08/3X2DzJnE83uNVJqTQVF2uroeRUQkKY0nfL0CzDezOWaWDtwMrBqxzCrgA979G4GnnBv7XAFmFjKzEu9+GvB2YOuJFi+TL5bjvYaZGQvLc9nd0kP/YDhmzysiIhILxw1f3hiuTwJPANXAQ865bWb2VTO7zlvsx0CxmdUAdwCvnY7CzPYB3wJuNbM670jJDOAJM9sMbCTScvbDidstmSh7W3vIyQhRkhOb8V7DFpTnMhh27GnpienzioiITLbQeBZyzq0GVo+YdlfU/aPATWOsO3uMza4YX4nil+jze8X6eIg5xdmkhwLsaOpm4bS8mD63iIjIZNIZ7mVMB9oO03V0MKZdjsNCwQDzSrKpUcuXiIgkGYUvGdOaPZFjJvwIXwDzynJo6+2nrVennBARkeSh8CVjemlPG9npQcpyM3x5/nmlkSMsd6v1S0REkojCl4xp3YF2ZhXHfrzXsLLcDHKnhBS+REQkqSh8yag6Dvez/9BhZhRm+laDmTGvNIfdB3sIj33mEhERkYSi8CWj2lzXCUBlYZavdVSV5tDbP0Rzly4PKiIiyUHhS0a1ua4DgMoC/1q+IDLoHmD3QXU9iohIclD4klFtqutkbkk2melBX+vIz0yjJCeD3S29vtYhIiIyURS+ZFSb6zo4Y3q+32UAMK80m72tvQyGdakhERFJfApf8gbNXUdp7upj6fQCv0sBIqec6B8KU9d2xO9SRERETpnCl7zBptrIeK8z46blKwcDne1eRESSgsKXvMGW+k6CAWNxRXyEr8z0IBUFmTrfl4iIJAWFL3mDTXWdzC/L8X2wfbSqshxq2w7TNzjkdykiIiKnROFLXsc5x+a6Ds6Mk/Few+aV5hB2sK9VRz2KiEhiU/iS16ltO0LH4QGWzoiPLsdhs4qzCAWMGp3vS0REEpzCl7zOprrhwfbx1fKVFgwwsyiLPWr5EhGRBKfwJa+zua6D9FCA06bm+l3KG8wtzaax8yjtvf1+lyIiInLSFL7kdTbVdXL6tDzSQ/H30ZhbErnU0Et7D/lciYiIyMmLv19Y8c1Q2LGtvjNuzu810vSiTNKCxou7Fb5ERCRxKXzJa/a09NDbPxQ3Z7YfKRQIMKs4mxf3KHyJiEjiUviS12yq6wTi58z2o5lbks2rzT209vT5XYqIiMhJUfiS12yu6yA7Pcjc0hy/SxnTcG1r1PolIiIJSuFLXrO5rpPFlfkEA+Z3KWOqLMgkOz2ocV8iIpKwFL4EiAy239nUzeKKPL9LOaZgwDh7TpHGfYmISMJS+BIA9h/q5cjAEKdPi+/wBXDevGL2tPTS3HXU71JEREROmMKXAFDd2A3AokQIX3NLAI37EhGRxKTwJQBUN3YRDBhVZfE72H7Yooo88qaENO5LREQSksKXAJHwNbckmylpQb9LOa7IuK9ijfsSEZGEpPAlAOxo6k6I8V7DzptXzP5Dh2noOOJ3KSIiIidE4UvoPDxAfceRxApfc4sB1PUoIiIJR+FLqG7qAuD0abk+VzJ+C8tzKcxKU9ejiIgkHIUvoboxEr4S4UjHYYGAcc6cYrV8iYhIwlH4EqobuyjOTqc0N8PvUk7IefOKqe84Qm3bYb9LERERGTeFL6G6sZuF03Ixi9/LCo3mvHka9yUiIolH4SvFDQ6FebW5m9PLE6fLcdj8shxKctI17ktERBKKwleK23eol77BcEId6TjMzDhnbmTcl3PO73JERETGReErxW33LiuUiOELIqecaOo6yr5DGvclIiKJQeErxVU3dpEWTIzLCo1G475ERCTRKHyluOrGLuaV5pAeSsyPwtySbMpyMzTuS0REEkZi/uLKhKlu7ErYLkeIjPs6b57GfYmISOJQ+Ephbb39NHf1JdSZ7Udz3txiWnv6qDnY43cpIiIix6XwlcJ2NA5fVihxW74gatyXuh5FRCQBKHylsO1JEr5mFmVRkT9Fg+5FRCQhKHylsOrGbkpzMyjJSazLCo1kZpw7r5g1ew4RDmvcl4iIxDeFrxSW6IPto503t5j2wwPsbO72uxQREZFjUvhKUQNDYWoO9iT8YPthOt+XiIgkCoWvFLWnpZf+oXBCXtNxNNMLs5hRlMkLCl8iIhLnFL5SVHWSDLaPdmFVCWv2HGJgKOx3KSIiImNS+EpR1Y1dpAcDzC3N9ruUCXNhVSk9fYNsruvwuxQREZExKXylqO2NXcyfmkNaMHk+AufPK8YM/rqr1e9SRERExpQ8v7xyQqobu5OqyxGgMDudMyrzeU7hS0RE4pjCVwpq6e6jtacv6cIXRMZ9bajtoPvogN+liIiIjErhKwXtaPIG25cnx2kmol04v4ShsGPNnja/SxERERmVwlcKSsYjHYetmFVIZlqQ53a1+F2KiIjIqBS+UlB1YzfleVMozE73u5QJlxEKcvacIv5ao3FfIiISnxS+UlDkskLJ1+U47KL5Jexp6aWh44jfpYiIiLyBwleK6Rsc8i4rlHxdjsMunFsDSjoAACAASURBVF8CoKMeRUQkLil8pZiagz0Mhl1Sh68FU3Mpzc1Q16OIiMQlha8Us6OxGyCpux3NjAurSni+ppVw2PldjoiIyOuMK3yZ2dVmttPMaszszlHmZ5jZg978l8xstje92MyeNrMeM/vOiHVWmNkWb53/NjObiB2SY6tu7CIjFGB2cfJcVmg0F1aV0Nbbz3bvyE4REZF4cdzwZWZB4LvANcAi4L1mtmjEYh8C2p1zVcDdwDe86UeBLwGfH2XT3wc+Asz3blefzA7Iialu6mJBeS6hJLqs0GheG/elrkcREYkz4/kFPhuocc7tcc71Aw8A149Y5nrgHu/+w8AVZmbOuV7n3HNEQthrzGwakOecW+Occ8C9wDtOZUfk+JxzkcsKlSfveK9hU/OmsGBqLs++qvN9iYhIfBlP+KoEaqMe13nTRl3GOTcIdALFx9lm3XG2CYCZfdTM1prZ2pYW/ZCeioPdfbT19if1eK9oly4s5eW9bbrUkIiIxJW473tyzv3AObfSObeytLTU73IS2vYkPrP9aC5fUMZg2OmUEyIiElfGE77qgRlRj6d700ZdxsxCQD5w6DjbnH6cbcoEGz7ScWGKhK8VswrJmxLizzsO+l2KiIjIa8YTvl4B5pvZHDNLB24GVo1YZhXwAe/+jcBT3liuUTnnGoEuMzvXO8rx/cBjJ1y9nJDqxi4qCzLJz0zzu5SYCAUDXHxaKc/sPKhTToiISNw4bvjyxnB9EngCqAYecs5tM7Ovmtl13mI/BorNrAa4A3jtdBRmtg/4FnCrmdVFHSn5ceBHQA2wG3h8YnZJxpLslxUazeULy2jt6WdLfaffpYiIiAAQGs9CzrnVwOoR0+6Kun8UuGmMdWePMX0tsGS8hcqpOTowxJ7WXq5eUu53KTF16YIyzOCpHQc5c0aB3+WIiIjE/4B7mRi7mnsYSvLLCo2mKDuds2YU8PROjfsSEZH4oPCVIqpT7EjHaJcvLGNzXScHu48ef2EREZFJpvCVIrY3dpGZFmRWUZbfpcTcZQvLAHhmp84TJyIi/lP4ShE7vMsKBQKpdwnNRdPyKM+bwtM65YSIiMQBha8U8NplhVKwyxHAzLhsYSl/3dVK/2DY73JERCTFKXylgMbOo3QeGWBRip1mItplC8ro6RvklX1tfpciIiIpTuErBaTyYPthF1SVkB4K8OdqdT2KiIi/FL5SwHD4SpXLCo0mOyPEBfOKeWJbE8e4+IKIiMikU/hKAdWN3cwsyiInY1zn1E1a15wxjfqOIzrbvYiI+ErhKwVUN3WxsDx1x3sNe8uiqYQCxuotTX6XIiIiKUzhK8kd6R9iX2tvSo/3GlaQlc75VSU8vrVRXY8iIuIbha8kt7O5m7BL7cH20d66pJz9hw6z3RsHJyIiEmsKX0lueLD9IoUvAN6yuJxgwHhcXY8iIuITha8kV93YRU5GiOmFmX6XEheKstM5d24Rq7eo61FERPyh8JXkqhsjg+1T8bJCY7lmyTT2tPbyanOP36WIiEgKUvhKYs45dqTwZYXGctXicsxg9ZZGv0sREZEUpPCVxOraj9DdN8jCFL6s0GhKczM4e3YRj29V+BIRkdhT+EpiuqzQ2N62dBqvNvdQc7Db71JERCTFKHwlserGbszQCVZHMdz1+PvNOupRRERiS+EriVU3djG7OJus9NS+rNBopuZN4U2zi3hsY72OehQRkZhS+Epi2xu7OF3jvcZ044rp7GntZf2BDr9LERGRFKLwlaQ6jwxwoO0wiyvy/S4lbr31jGlkpgV5eF2d36WIiEgKUfhKUtsbIoPtl1QqfI0lJyPENWeU87tNDRwdGPK7HBERSREKX0lqW0MnAIsrdKTjsdy4YjrdfYM8sU0D70VEJDYUvpLUtoYuyvOmUJKT4Xcpce3cOcVUFmSq61FERGJG4StJba3vZEmlWr2OJxAwblgxnedqWmnsPOJ3OSIikgIUvpLQkf4hdrf0sEiD7cflhuWVOAePrK/3uxQREUkBCl9JqLqpi7CDJRrvNS6zirM5e04RD6+r0zm/RERk0il8JaFt9ZHB9jrScfxuWjGdva29rD/Q7ncpIiKS5BS+ktC2hi4Ks9KYlj/F71ISxlvPmEZWepAHX6n1uxQREUlyCl9JaGtDJ0sq8zEzv0tJGNkZIa5fVsljGxto6+33uxwREUliCl9Jpn8wzM6mbhZpvNcJ++AFs+kbDHP/ywf8LkVERJKYwleS2XWwm4EhxxId6XjC5k/N5aL5Jdz74j76B8N+lyMiIklK4SvJbKuPXFZIZ7Y/OR+8YA7NXX08vrXR71JERCRJKXwlmW0NnWSnB5ldnO13KQnpktNKmVuSzU+e26vTToiIyKRQ+EoyWxu6WFyRTyCgwfYnIxAwbrtgNpvqOll/oMPvckREJAkpfCWRobBje0OXBtufonctn07ulBA/eX6v36WIiEgSUvhKIntbezkyMKSTq56i7IwQ7z17Jn/Y2kRDh673KCIiEyvkdwEycbY1RM5sn+yD7e97afJPBZGfmUY47PjHhzdzzRnTjrv8LefMnPSaREQkOajlK4lsa+giPRSgqizH71ISXmFWOkun57Nm7yG6jw74XY6IiCQRha8ksqWuk4XluaQF9bZOhMsXTmVwyPHsqy1+lyIiIklEv9JJYijs2FLfyZnTC/wuJWmU5mZw1sxCXtrbRtcRtX6JiMjEUPhKErtbeujpG2TZDIWviXT5wjLCzvHMqwf9LkVERJKEwleS2Oidk2rZTIWviVSUnc6KWUW8sq+djsO64LaIiJw6ha8ksaG2g9wpIebozPYT7rIFpQA8vVOtXyIicuoUvpLExtoOls0o0JntJ0FBVjpnzy5i3f52DvX0+V2OiIgkOIWvJHC4f5CdTV0a7zWJLllQSsCMP1U3+12KiIgkOIWvJLClrpOwQ+FrEuVNSePi00rZXNfJ7pYev8sREZEEpvCVBDbWeoPtFb4m1SWnlVKUnc6qjQ0MhsN+lyMiIglK4SsJbKztYEZRJsU5GX6XktTSggGuXTqNlp4+nq855Hc5IiKSoBS+kkBksH2h32WkhAXleSyalsdTO5p16gkRETkpCl8JrrnrKI2dR9XlGENvWxq50PbvNjf6XImIiCQiha8Et+GAxnvFWmFWOpcvKGN7Yxc7m7r8LkdERBKMwleC21jbQVrQWFyR53cpKeWC+SWU5Wbw6IZ6evsG/S5HREQSiMJXgttU28Hp0/KYkhb0u5SUEgoEePfKGfT2D/HI+jqcc36XJCIiCULhK4ENhR2b6zrU5eiTioJMrl5cTnVTN79Ys9/vckREJEEofCWwmoM99PYPKXz56Px5xZw2NYev/b6anU3dfpcjIiIJQOErgW2sbQc02N5PZsaNK2aQOyWNT9+/gaMDQ36XJCIicW5c4cvMrjaznWZWY2Z3jjI/w8we9Oa/ZGazo+Z90Zu+08yuipq+z8y2mNlGM1s7ETuTajbWdpCfmcackmy/S0lpORkh/vPdZ7KzuZt/fmybxn+JiMgxHTd8mVkQ+C5wDbAIeK+ZLRqx2IeAdudcFXA38A1v3UXAzcBi4Grge972hl3mnFvmnFt5ynuSgtbtb2fZjALMzO9SUt4lp5XyqcureHBtLf/32T1+lyMiInFsPC1fZwM1zrk9zrl+4AHg+hHLXA/c491/GLjCIongeuAB51yfc24vUONtT07RoZ4+Xm3u4Zy5RX6XIp7Pvvk03r50Gv/++A5Wb9EJWEVEZHTjCV+VQG3U4zpv2qjLOOcGgU6g+DjrOuCPZrbOzD461pOb2UfNbK2ZrW1paRlHuanh5b1tAJwzp9jnSmRYIGD8x01nsmJWIZ99cCMbDrT7XZKIiMQhPwfcX+icW06kO/MTZnbxaAs5537gnFvpnFtZWloa2wrj2Et728hMC7J0er7fpUiUKWlBfvC+FUzNm8JH7l1Lbdthv0sSEZE4M57wVQ/MiHo83Zs26jJmFgLygUPHWtc5N/zvQeBR1B15QtbsOcSKWYWkBXXAarwpzsngJ7e+if7BMLf8aA117QpgIiLyN+P55X4FmG9mc8wsncgA+lUjllkFfMC7fyPwlIsc8rUKuNk7GnIOMB942cyyzSwXwMyygbcAW099d1JDe28/O5q6OVfjveJWVVkO937oHDoOD3DzD9aoBUxERF5z3PDljeH6JPAEUA085JzbZmZfNbPrvMV+DBSbWQ1wB3Cnt+424CFgO/AH4BPOuSFgKvCcmW0CXgZ+75z7w8TuWvJ6eZ833muuxnvFs2UzCvjlh8+h64gCmIiI/E1oPAs551YDq0dMuyvq/lHgpjHW/Trw9RHT9gBnnmixEvHSnjYyQgGN90oAS6cXcN9HzuXvfvQS7/m/L3L/R89lVrHOyyYikso0YCgBrdlziOUzC8kI6WLaiWBJZT73feQcjgwM8a7vvcC6/W1+lyQiIj5S+EownYcHqG7q4lx1OSaUxRX5/Ppj55M7JcR7f/gSj20cecyKiIikCoWvBPPKvjacQydXTUBzS3N49OMXsGx6AZ95YCP/9eQuXYpIRCQFKXwlmJf2HiI9FNDFtBNUYXY6P//w2bxreSV3P/kqn7x/A91HB/wuS0REYkjhK8Gs2dPGshkFTEnTeK9ElREK8p83nck/Xr2QP2xt4rrvPM+2hk6/yxIRkRhR+EogXUcH2NbQyblz1OWY6MyMj106j/s/ci6H+wd55/de4Jcv7Vc3pIhIClD4SiDr9rUTdmiwfRI5e04Rv//0RZwzp4j//ehWPnnfBtp7+/0uS0REJpHCVwJZs/cQaUHjrJmFfpciE6gkJ4N7bjub/+eqBfxxexNv+fazPL3joN9liYjIJFH4SiAv1Bxi2YwCMtM13ivZBALGJy6r4jefuICirHRu+9krfPGRLfT2DfpdmoiITDCFrwRxsOsoW+o7uXRBmd+lyCRaXJHPqk9dwO2XzOWBVw7wlruf5ZmdagUTEUkmCl8J4mnvB/jyhQpfyS4jFOSL15zOw/9wHpnpQW796Sv8rwc20KaxYCIiSUHhK0E8teMg0/KnsLA81+9SJEZWzCri95++kE9fMZ/fb2nkzd/6C49trNcRkSIiCU7hKwH0DQ7x112tXL6wDDPzuxyJoYxQkDuuPI3ffeoiZhZl8ZkHNnLbz16hrv2w36WJiMhJUvhKAC/vbeNw/xBXnK4ux1S1oDyXX3/sfP752kW8vLeNt9z9LD99fi9DYbWCiYgkGoWvBPDn6oNkhAKcN7fE71LER8GAcdsFc3jif13MytlFfOW323nX91/Q2fFFRBKMwlecc87x1I6DXFBVolNMCAAzirK457Y38e33LKO+/TDXfed5vva77TothYhIglD4inO7W3o50HaYy3SUo0QxM95xViV/vuNS3r1yBj96bi9v/tZfeGJbk9+liYjIcYT8LkCO7akdzYBOMRHv7nvpgG/PfUZlPnkXz+WxjQ3c/vN1nF6ey7VnVvDxy6p8q0lERMamlq8499SOgywsz6WyINPvUiSOzSrO5hOXVXH14nJqWnr49pO7+OGzexgcCvtdmoiIjKDwFcc6jwzwyr52tXrJuAQDxsWnlfK/3nwac0uz+frqaq79zvOsP9Dud2kiIhJF4SuO/XVXC0Nhp1NMyAkpzErnfefO4n/+fjntvf3c8P0X+N+PbqHzyIDfpYmICApfce3P1QcpzEpj2YxCv0uRBGNmXL1kGk9+7hJuO38O9798gCv+8y88sr6OsM4NJiLiK4WvOHWkf4g/bW/mzadPJRjQWe3l5ORkhLjr2kWs+uSFVBZM4Y6HNnHD/7zAptoOv0sTEUlZCl9x6o/bm+jpG+Rdy6f7XYokgSWV+Tz68Qv45o1LqW07wvXffZ7P/2oTB7uP+l2aiEjKUfiKU4+sr6eyIJNz5hT5XYokiUDAuGnlDJ7+/CXcfslcHttYz2XffIb/+ctu+gaH/C5PRCRlKHzFoYNdR/nrrhbecVYFAXU5ygTLnZLGF685nT9+9hLOm1fMvz++g6vufpYntzfjnMaDiYhMNoWvOLRqUwNhB+88S12OMnnmlGTzow+8iXs+eDahYIAP37uWW374Eht0agoRkUml8BWHfr2+njNnFFBVluN3KZICLjmtlMc/cxFfvnYRrzZ3887vvcBH713Lq83dfpcmIpKUFL7izPaGLqobu7hheaXfpUgKSQsGuPWCOfzlC5dxx5Wn8eLuQ1z97Wf5zAMb2KUQJiIyoXRtxzjz6IY6QgHj7Usr/C5FUlBORohPXzE/cpLWv+zm52v2s2pTA9csKecTl1WxuCLf7xJFRBKewlccGRwK85uNDVy2sIyi7HS/y5EUVpidzhffejq3XzKPnzy3l3te2MfqLU1cuqCUD104hwurSjDTwSAiIidD3Y5x5Pndh2jp7lOXo8SNoux0Pn/VAp6783I+d+VpbK3v4n0/fplr/uuvPPRKLUcHdIoKEZETpfAVRx5eV0d+ZhqX6ULaEmfyM9P41BXzef7Oy/jmjUsB+MKvN3POv/6ZL6/axs4mjQsTERkvdTvGibr2w6ze0sit588mIxT0uxyRUWWEgty0cgY3rpjOC7sPcd/LB/jlS/v52Qv7OGtmATe/aQZvX1pBdoa+WkRExqJvyDjxw2f3EDD48EVz/C5F5LjMjAuqSrigqoS23n4eWV/H/S8f4B9/vYV/+V01155ZwXvPnsEZlfkaGyYiMoLCVxxo7enjgVdqeceySqblZ/pdjsgJKcpO58MXzeVDF85h3f527n+5lkc3RMLY/LIc3nFWJdedWcGMoiy/SxURiQsKX3Hgnhf20T8U5vZL5vpdishJMzNWzi5i5ewi7rp2Eb/d1MBjG+v55hM7+eYTO1kxq5Drl1XwtjOmUZyT4Xe5IiK+UfjyWU/fIPe8sI+3LJpKVVmu3+WITIj8zDT+/txZ/P25s6htO8xvNzfw2IYG7npsG1/57XYuml/C9csquHJROTkaHyYiKUbfej67/6UDdB0d5GOXVvldisikmFGUxccvreLjl1axo6mLxzY2sGpjA599cBNT0rZw5aJyrj+zgotPKyU9pAOwRST5KXz5qG9wiB89t4fz5xWzbEaB3+VIkrnvpQN+lzCqGYVZfOzSeRw4dJhNdR38ubqZ325qIDMtyOKKPM6Yns/ckhyCgdQeqH/LOTP9LkFOUjz+7enzFF8Uvnz06Pp6mrv6+I+bzvS7FJGYCpgxuySb2SXZvH1pBTUHu9lU18nm+k7W7m8nKz3I4op8zqjMZ05JdsoHMRFJLgpfPunpG+S//ryLMyrzubCqxO9yRHwTDBgLyvNYUJ7HwFCYXc3dbK7vZFNtB6/sayN7OIhNz2d2sYKYiCQ+hS+f3P2nV2nsPMp3blmu8yCJeNKCARZV5LOoIp+BoTA7m7rZUt/Jhtp2Xt7XRmZakIXluSyclsdpZTlkpOmExCKSeBS+fLC1vpOfPr+XW86ZyYpZhX6XIxKX0oIBllTms6Qyn/7BMK82d1Pd2MWOpm421HYQDBizirKoKsthXmkOFQWZahUTkYSg8BVjQ2HH//voFoqyM/jHqxb6XY5IQkgP/S2IDYUdB9oOs6Oxi5qWHv64vRloZkpagBmFWUwvzGJGYSaVhZnkTknzu3QRkTdQ+IqxX6zZz+a6Tv77vWeRn6UfBpETFQwYc0qymVOSDUTGT+5p6WF3Sw+1bUd4ZudBnLdsVnqQkpwMirPTKc7JIG9KiKz0ENkZQTLTg6QFAgQCRsAiJ4kdHArTPximf8i7DUbdvMdHB8L0DQ7RPxhmMOwY8m5h5wgGjLRggLRg5N+cjBD5mWnkZaaRn5lGcXY6oaBOpyGS6hS+Yqip8yjffGInF80v4dql0/wuRyQp5GSEWDq9gKXTI6dr6R8MU99xhPqOI7R093Gop4/dLT1sqO2YkOcLmpGRFiAjFCAYCBAKGIFA5AjOobBjYMhFQtxQmMP9Q29Ytywvg2n5U5iWn8ns4mymFUwhoHGfMkH6Bodo7e6n7XA/RweG6BsM0z84RH3HYbLSQ+RlppE3JURhVjpzS7OpLMjUuGMfKHzFyFDY8cVHNjMwFOZr71iiD7vIJEkPBV7XMjasfzBMb/8gh/uGONw/SG//EEPhMGEHYecIhx2hYID0UID0Uf5NCwWYEgqcUMvVYDhM99FBuo4M0H54gOauozR2HmFXcw/rD0TCYGZakHml2cwry2FheR75mWoRl/EZGApT236YvS29HGg7zMHuPjqPDIy67NM7WxgKuzdMz04PUjU1l4VTczl7ThHnVxXrGsMxoPAVI/+6upqnd7bwL+9Ywqzi7OOvICITKj0UID2UTmEMr+8dCgQozEqnMCudWcWvn9d1ZIA9rT3UHOxld0sPWxu6eIwGZhZlsaQyn0sWlFJZoB9Beb323n62NXZR3dhFbdthBsMOA8rzpzC3JJvS3IxIV3tOOplpQTJCQdJDAf7+3Jn0DYbpOjpA15FBWr0W4V3NPbza3M0T25t4cG0tAHNLsjm/qpirFpdz7txi0tRVPuEUvmLg52v28+Pn9nLbBbN537mz/C5HROJAXmYay2YUsmxGIc45Wrr72NbYxdb6TlZvaWT1lkbOnlPEu1fO4K1nlJOVrq/rVNXe28+mug62NnTS0HEUgPK8KZw7t5g5JdnMLs4mM/3Yp10xM6akBZmSFqQsF6rKcjh37t/+RxAOO3Y0dfPC7lZe2H2IR9bX84s1ByjISuMti6ZyzRnTuKiqRGMWJ4g598ZmyHi1cuVKt3btWr/LOCHP7DzIh+5Zy6WnlfKD969MuEPh4/EyGSLJ7lBPH4GA8fC6Ova29pKdHuTaMyu4aeV0ls8s1LCFODcR35v9g2G2NXSybn87e1p7AZhRmMmSynwWTcujOCfjhLZ3opcXOjowxLOvtvD41iae3N5Md98gpbkZvPOsSm5YPp0F5bkntL1UZWbrnHMr3zBd4Wvy7Gjq4sbvv8jMoix+9Q/nkZ2ReP9zVfgS8cct58zEOcfa/e089Eotv9/SyOH+IeaWZvPulTN41/JKynKn+F2mjOJkvzedi5xGZd3+drbUd9I3GKYoO53lMws4a2YhhVnpJ13TqVzbsW9wiGd2tvDrdXU8teMgg2HHGZX53LC8kuuWVVKUffJ1JTuFrxh7YXcrH//lejJCAX7ziQsSdgCjwpeIP0b+WPb0DbJ6cyMPra1l7f52ggHjsgWl3LhiBpcvLCM9pO6geHGi35udRwbYeKCddQc6aO3pI907wfDyWQXMLs6ekKNhJ+rC2od6+li1qYGH19WxraGLtKBxxcKp3LBiOpcuKNX4sBHGCl+J1xSTAH6+Zj9fWbWN2SXZ/PgDKxM2eIlI/MjJCPHuN83g3W+awe6WHn61to5H1tfxZPVBirPTecdZldy0cjoLy/P8LlXGYbhbccOBDna39OCA2cXZXHJaKUsq88gIxeels4pzMrjtgjncdsEcqhu7+PW6On6zsZ4/bGt67XN4w/LpLKrQ5/BY1PI1gQaGwnz1t9v5+Zr9XL6wjP+6eVnCn2FbLV8i/hhPS8XgUJhnd7Xwq7V1PFndzMCQY+n0fG5aOYPrllboRM4+Get7M+wc+1p72XCggy0NnfQPhinMSuOsmYWcNaPghMdxnYiJavkazcBQmGdfbeHhdX/7HC6alseNK6Zz/bKKSd2veKdux0m2bn8bX/3tdjbVdXL7xXP5wtULE25w/WgUvkT8caI/lm29/fxmQz0Pra1lR1M36aEAly0o5a1nTOOK06eSk4BjThNV9Pemc47mrj621Heysbad9sMDZHiXy1o+s5BZxVkxOcnuZIavaO29/fx2c6RbcnNdJ6GAcdnCMm5YHumWnJIWny16k0XdjpPkwKHDfOMPO/j9lkam5mXwf957FteeWeF3WSKSYoqy0/nghXO47YLZbGvo4uF1daze0sgT25rJCAW4dEEpbz59KpcsKNVA/UkWdo66tsNsa+xie0MXh3r7MSKnd7hyUTmLpuUl7Ri9wux03n/ebN5/3mxebe7m1+vqeGRDPX/a3kxmWpCLTyvhqsXlXL6wjIJTOIAg0anl6yQ459hY28HD6+r41do6ggHj9kvm8tGL5ybduXjU8iXij4loqQiHHesOtPP7zY08vrWR5q4+AJZU5nHZgjLOm1vMspkFSfe9FWvOOeraj/BcTSt/3dXC0ztaODIwRMBgXmkOiyryWDQtz9dhKLFq+RrN4FCYF/cc4o/bmvnj9iaau/oIGCydXsCFVSVcUFXC8lkFcTvO7VSo2/EUOefY09rLH7Y28ev1dexp6SUjFOD6ZRXcceUCyvOT83+SCl8i/pjoH0vnHNWN3Ty98yDP7DzIuv3thB2EAsbiynzOnl3IGdMLWFyRx5zibAJJMGxisvT0DbKjsYsNBzpYf6Cd9QfaXwu25XlTqCjIpKoshwVTc4978tNY8TN8RQuHHZvrO3mqupnnalrZVNfJUNi91hW7bEbBa7fKgsyE/xyeUvgys6uB/wKCwI+cc/8+Yn4GcC+wAjgEvMc5t8+b90XgQ8AQ8Gnn3BPj2eZoYhW+hsKOxs4jHDh0mG0NXbyyr411+9s51NsPwNmzi3jX8kreunQaeQk+oP54FL5E/DHZP5ZdRwf4/9u7+9i6q/uO4++PH2PHxnn2CAkxS9J0gZYspSUbD4OutKHblKJNg9C1dKvabgNpbTetrJq0rqo0IrQhVVuR6MpgKyOFtlkj+sgopQgtIUATkiYlsBBG0jyQOHEcx8/+7o/fSbgx98bXNtxrX39e0pV/99xzz+/4q+Nw+J3z+32ffeUYW15uZ8vedra92kHf4BAAjXXVvP1Xmlk8t4m2lCezbXaWhPm8hpop8ZDXgcEhDnT08Gr7Kf6v/RSvtJ9i98FOfnGwk/3Hu8/UWzirgZUXzmTlhTO5YslsFs9tWr0wSwAACthJREFU4sGnXy1jz/ObKJOv4Tp7+tm8p51Ne46y9dXjZ55vBtk4XDqviaWtzSyZ18SCmQ0smNnIBTMamNNUNynG4Zj3fEmqBv4FuA7YB2yRtDEiduZU+zhwLCKWSLoJWAfcKGk5cBNwMTAf+G9Jb0vfGanNkvuH7+/i0Z2H2NfefeYfIYBFsxu5Ztk8LmubyZVL5rBwVgmTw5mZvQXOm1bLtcvmce2yeUD26IMXD3ey85cn2Jn2Kj2x+zUefnbfWd+bVlvF+S0NzGuuZ2ZjHS0NtZzXUJN+1nLetNozZfU11dTXpOTkuYnK0/Gb+R/PiGBwKM4kSh8cCnr6B+nuH6Snf4ie/sGz3p/qG+BEzwAdp/ro6O7n+Kl+jpzs5XBnL6919nK0q++sRNQ1VWLx3CZWLprJzZdfyLLWZi5dOIO5zVP3Tr43Q/O0Wt63vJX3LW8Fsjsnf3Ggk+37O9h9qJMXD3eeuZMyV11NFbOn1zFreh2zm+qZ1VjL9Pqa7FVXQ0NdFdVVVdRUiaoqUSXoHxiifzDoGxyif3CIT129uGxXJotZ6H8P8FJE7AGQtB5YA+ROlNYAX0jH3wT+Wdlf1RpgfUT0Ai9Leim1RxFtlty0mmqWtTZz3fJW2mZPZ9GsRpa0NnlzqplVvLqaKi6e38LF81vOKj/ZO8DeI128cvQUBzq6OdjRw8ETPRw+0cueIyfp6M4SNXf3D476nFWCKgkpyz1YJRA6U076WZU+zyZXwdBQMBjB0FCaaEUwnh0002qraGmoZW5zPfOa67lkfgtzm+tZOKuBhTMbWTirkfNbpjmvYQnUVlfxjgUtvGPB2ePwRE8/+491Z6/j3fzyeDdHu/po7+rj6Mle9h7poqt3gK6+AXr6hwq0frabL79wQk++LgByr6HuAy4vVCciBiR1ALNT+aZh370gHY/UJgCSPgl8Mr09KemFIvp82hzgyCjq2xs5huPnGI7flIvhh9/8JqdcDN8CkzaGb8F4GqsJE8PWdSU5zaJ8hRP+FpeIuAe4ZyzflfRMvrVWK55jOH6O4fg5huPnGI6fYzh+jmGmmGuo+4GFOe8XpLK8dSTVAC1kG+8LfbeYNs3MzMwqTjGTry3AUkkXSaoj20C/cVidjcAt6fgPgB9HdhvlRuAmSfWSLgKWAk8X2aaZmZlZxRlx2THt4boN+CHZYyHujYifS/oi8ExEbAS+BvxH2lDfTjaZItV7iGwj/QBwa0QMAuRr883/9ca2XGlncQzHzzEcP8dw/BzD8XMMx88xZJI9ZNXMzMxssvN9s2ZmZmYl5MmXmZmZWQlV7ORL0mpJL0h6SdLt5e7PZCFpr6TtkrZKeiaVzZL0qKQX08+Z5e7nRCLpXkmHJe3IKcsbM2W+nMbl85JWlq/nE0eBGH5B0v40FrdK+mDOZ3+TYviCpA+Up9cTi6SFkh6XtFPSzyX9RSr3WCzCOeLncTgKkqZJelrSthTHv0/lF0nanOL1jXSzHemGvG+k8s2S2srZ/1KpyMlXTkqk64HlwNqU6siKc21ErMh5FsvtwGMRsRR4LL23190HrB5WVihm15Pd9buU7OHBd5eojxPdfbwxhgB3pbG4IiK+BzAsbdlq4Cvpb36qGwD+MiKWA6uAW1OsPBaLUyh+4HE4Gr3AeyPiUmAFsFrSKrK0g3dFxBLgGFlaQshJTwjclepVvIqcfJGTEiki+oDT6YtsbNYA96fj+4EPlbEvE05E/JTsLt9chWK2Bvj3yGwCZkg6vzQ9nbgKxLCQM2nLIuJlIDdt2ZQVEQci4rl03AnsIsso4rFYhHPErxCPwzzSeDqZ3tamVwDvJUs/CG8ch6fH5zeB35YmQcbscarUyVe+lEjn+iOy1wXwI0nPptROAK0RcSAdHwRay9O1SaVQzDw2R+e2tCR2b85yt2M4grR08+vAZjwWR21Y/MDjcFQkVUvaChwGHgX+FzgeEQOpSm6szkpPCJxOT1jRKnXyZWN3ZUSsJFuSuFXS1bkfpofn+vkko+CYjdndwGKypYsDwD+WtzuTg6Qm4FvApyPiRO5nHosjyxM/j8NRiojBiFhBlr3mPcDby9ylCadSJ19OXzRGEbE//TwMbCD7wzl0ejki/Txcvh5OGoVi5rFZpIg4lP4RHwK+yutLOo5hAZJqySYOD0TEt1Oxx2KR8sXP43DsIuI48DjwG2TL2qcf7J4bq0LpCStapU6+nL5oDCRNl9R8+hh4P7CDs9NH3QJ8pzw9nFQKxWwj8NF0p9kqoCNnSchyDNt/dAPZWITCacumtLRP5mvAroj4p5yPPBaLUCh+HoejI2mupBnpuAG4jmz/3ONk6QfhjeMwX3rCijZieqHJqFBKpDJ3azJoBTakvY41wH9GxA8kbQEekvRx4BXgD8vYxwlH0oPANcAcSfuAvwPuIH/Mvgd8kGxz7ingj0ve4QmoQAyvkbSCbJlsL/ApOHfasinuCuAjwPa03wbg83gsFqtQ/NZ6HI7K+cD96c7PKuChiHhE0k5gvaQvAT8jm+hCgfSElc7phczMzMxKqFKXHc3MzMwmJE++zMzMzErIky8zMzOzEvLky8zMzKyEPPkyMzMzKyFPvszMzMxKyJMvMys5STMk/fkIddok3VxEW22SdoxUL6f+TyRdVmz9sZL0+bf6HGY2OXnyZWblMAM45+QLaANGnHxNYJ58mVlennyZWTncASyWtFXSnem1Q9J2STfm1Lkq1flMusL1pKTn0us3izmRpAZJ6yXtkrQBaMj57P2S/ie193BKqpyvjdWSHs55f42kR9Lx2tTvHZLWpbI7gIbU9wdS2WdTnR2SPp3Kpkv6rqRtqfzGPKc3swrjJ9ybWclJagMeiYhLJP0+8KfAamAOWW7Wy4FlwF9FxO+m7zQCQxHRI2kp8GBEXJbbVoFzfRa4JCL+RNI7geeAVWSpYr4NXB8RXZI+B9RHxBfztFED7AF+LdW9G3gK+DGwCXgXcAz4EfDliPgvSScjoil9/13Afem8AjYDfwT8KrA6Ij6R6rVERMdYYmpmk4evfJlZuV1JNpEajIhDwBPAu/PUqwW+Kmk78DCwvMj2rwa+DhARzwPPp/JVqY2nUi6/W4BF+RqIiAHgB8DvpYnY75AlBn438JOIeC3VeSCdL9/vuCEiuiLiJNmk7ypgO3CdpHWSrvLEy2xqqMjE2mZWkT4DHAIuJfsfx55xtifg0YhYW2T99cBtZMl/n4mIzpSEfswiYreklWQJrr8k6bF8V97MrLL4ypeZlUMn0JyOnwRulFQtaS7ZlaOnh9UBaAEORMQQ8BGgushz/ZS0cV/SJcA7U/km4ApJS9Jn0yW97RztPAGsBD5BNhEj9fO3JM2RVA2sTfUA+iXV5vyOH5LUKGk6cAPwpKT5wKmI+DpwZ2rfzCqcr3yZWclFxFFJT6VHRHyfbClwGxDAX0fEQUlHgUFJ28j2S30F+Jakj5ItAXYVebq7gX+TtAvYBTyb+vCapI8BD0qqT3X/FthdoM+DaZP9x8iWKImIA5JuBx4nu5L23Yj4TvrKPcDzkp6LiA9Luo9ssgbwrxHxM0kfAO6UNAT0A39W5O9kZpOYN9ybmZmZlZCXHc3MzMxKyMuOZlYR0hLeumHFL0fEDaNsZwNw0bDiz0XED8fTPzOz07zsaGZmZlZCXnY0MzMzKyFPvszMzMxKyJMvMzMzsxLy5MvMzMyshP4fNVjZkET+MkIAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J-vSu61WigYI",
        "colab_type": "code",
        "outputId": "c481f623-170d-46ad-83c5-a3925c9ca5d4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "# solucao teste de normalidade ou justificativa para nao utiliza-lo\n",
        "from scipy.stats import normaltest\n",
        "_,p=normaltest(filmes.query('Horror == 1').total_de_votos)\n",
        "p\n",
        "_,P=normaltest(filmes.query('Adventure == 1').total_de_votos)\n",
        "P\n",
        "print(f'Tese de normalidade para gênero de horror: {p} \\nTese de normalidade para gênero de aventura:{P}')"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Tese de normalidade para gênero de horror: 1.2786148884334685e-07 \n",
            "Tese de normalidade para gênero de aventura:5.987863006199139e-06\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Q7dc5MYdigYN",
        "colab_type": "code",
        "outputId": "c518d533-473a-45e0-8ca4-8fb995720156",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "# solução com o teste desejado\n",
        "from scipy.stats import ranksums\n",
        "_,p=ranksums(filmes.query('Horror == 1').total_de_votos,filmes.query('Adventure == 1').total_de_votos)\n",
        "p"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.04782366231999856"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N3AdQ8origYR",
        "colab_type": "text"
      },
      "source": [
        "### Solução (explique sua conclusão):\n",
        "  Tanto o teste de normalidade para cada um dos gêneros, quanto o teste de comparação das distribuições tiveram resultados menores que 5%, logo podemos rejeitar que as hipóteses são nulas e continuar afirmando as conclusões observadas anteriormente.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2LtdE0TCigYS",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: Faça os mesmos boxplots para as notas médias (`nota_media`) dos gêneros `Adventure` e `Horror`."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Nk-hSVKXigYT",
        "colab_type": "code",
        "outputId": "76959e0e-e330-42a8-ff6a-5e3dd22d4f24",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "# solução:\n",
        "plt.figure(figsize=(10,7))#Ajustando o tamanho da figura\n",
        "ax=plt.boxplot([filmes.query('Adventure == 1').nota_media,filmes.query('Horror == 1').nota_media],labels=['Adventure','Horror'])#Plotando a imagem com descrição dos labels\n",
        "plt.title('Distribuição da nota média por gênero')#Colocando titulo\n",
        "plt.show()#Retirando as linhas de carregamento do boxplot"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wT0nCjYEigYf",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: Quero fazer um filme que seja sucesso de crítica, com pessoas dando notas altas, mesmo que não tenha um número muito grande de pessoas assistindo. Qual gênero você recomenda se tenho que escolher somente um entre `Adventure` e `Horror`?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oqu85Y8digYh",
        "colab_type": "text"
      },
      "source": [
        "### Solução:\n",
        "Pelo gráfico observamos que a mediana dos gêneros são quase iguais, no entanto o limite superior dos filmes de aventura supera o limite superior dos filmes de horror, ou seja, existe **pelo menos um filme** de aventura que supera o filme de horror com melhor sucesso de crítica.\n",
        "\n",
        "Potanto, mesmo que não tenha um número grande de pessoas assistindo, é recomendável que realize um ***filme de aventura***.\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U0-OgWrBigYi",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: nossa análise foi até então visual. Aplique um teste estatístico para verificar se existe significância estatística na distribuição das notas dos filmes de `Adventure` e `Horror`.\n",
        "\n",
        "Passos:\n",
        "\n",
        "- visualize a distribuição de ambas através de histogramas\n",
        "- se suspeitar normalidade na distribuição, faça um teste de normalidade para ambas\n",
        "- aplique um teste adequado de comparação das distribuições\n",
        "- explique o resultado encontrado\n",
        "- utilize p=0.05"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GaoD0zQIigYn",
        "colab_type": "code",
        "outputId": "e840a920-947b-4301-b9e9-afe19c3b7ccc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "# solucao histograma de aventura\n",
        "plt.figure(figsize=(10,7))\n",
        "sns.distplot(filmes.query('Adventure == 1').nota_media)\n",
        "plt.title('Frequencia relativa das notas médias de filmes aventura')\n",
        "plt.show()"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OJFehIfrigYs",
        "colab_type": "code",
        "outputId": "bb695f49-2cbc-4842-8909-a33a811b19df",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "# solucao histograma de horror\n",
        "plt.figure(figsize=(10,7))\n",
        "sns.distplot(filmes.query('Horror == 1').nota_media)\n",
        "plt.title('Frequencia relativa das notas médias de filmes Horror')\n",
        "plt.show()"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XxWflJL-igY2",
        "colab_type": "code",
        "outputId": "67f36067-e6f7-49b6-c447-f5e65ef0316f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "# solucao teste de normalidade ou justificativa para nao utiliza-lo\n",
        "from scipy.stats import normaltest\n",
        "_,p=normaltest(filmes.query('Horror == 1').total_de_votos)\n",
        "p\n",
        "_,P=normaltest(filmes.query('Adventure == 1').total_de_votos)\n",
        "P\n",
        "print(f'Tese de normalidade para gênero de horror: {p} \\nTese de normalidade para gênero de aventura:{P}')"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Tese de normalidade para gênero de horror: 1.2786148884334685e-07 \n",
            "Tese de normalidade para gênero de aventura:5.987863006199139e-06\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SdjtD1NIigY9",
        "colab_type": "code",
        "outputId": "b814ace4-1f19-41b5-e0ef-7f67c30b7570",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "# solução com o teste desejado\n",
        "from scipy.stats import ranksums\n",
        "_,p=ranksums(filmes.query('Horror == 1').total_de_votos,filmes.query('Adventure == 1').total_de_votos)\n",
        "p"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.04782366231999856"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mdUTOh6digZB",
        "colab_type": "text"
      },
      "source": [
        "## Sua recomendação para maior sucesso de crítica em nota alta entre `Horror` e `Adventure` continua a mesma? Explique.\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RXAZhZhUigZE",
        "colab_type": "text"
      },
      "source": [
        "### Solução:\n",
        "Tanto o teste de normalidade para cada um dos gêneros, quanto o teste de comparação das distribuições tiveram resultados menores que 5%, logo podemos rejeitar que as hipóteses são nulas e continuar afirmando as conclusões observadas anteriormente."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OVrpxdvjigZG",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: Quero fazer um filme que seja primeiro sucesso de crítica, com pessoas dando notas altas. Em segundo lugar quero que seja popular (mais pessoas assistam). Com as informações visuais e estatísticas, supondo poder escolher somente um, qual dois 2 gêneros você recomenda agora? `Horror` ou `Adventure`?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pxt2Hjh_igZH",
        "colab_type": "text"
      },
      "source": [
        "### Solução:\n",
        "Pelo gráfico observamos que a mediana dos gêneros são quase iguais, no entanto o terceiro quartil dos filmes de horror tem uma nota média maior que dos filmes de aventura.\n",
        "\n",
        "Portanto, os \"melhores\" filmes de horror(considerando melhor como notas acima do terceiro quartil) tiveram notas maiores que os \"melhores\" de aventura.Além disso concluimos acima que os filmes de aventura possuem maior relevância.\n",
        "\n",
        "Por fim, conclui-se que, se deseja um filme sucesso de crítica e ainda ser popular, deve-se fzer um filme de aventura."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NnUhhHu3igZI",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: Quais são os top 5 filmes dos 2 generos mais assistidas?\n",
        "\n",
        "- utilize os 2 generos mais votados em `votos_por_genero`\n",
        "- utilize a `nota_media` para definir o top 5 filmes\n",
        "- o resultado são 5, não 10 filmes"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ebvJfHMIigZJ",
        "colab_type": "code",
        "outputId": "f89a3408-98c7-458f-a1f8-dd6754dbac99",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "votos_por_genero"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Action         15734.0\n",
              "Drama          15445.0\n",
              "Comedy         15330.0\n",
              "Adventure      13117.0\n",
              "Thriller       11907.0\n",
              "SciFi           8989.0\n",
              "Crime           8649.0\n",
              "Romance         7444.0\n",
              "Fantasy         5993.0\n",
              "Children        4331.0\n",
              "Mystery         3452.0\n",
              "Animation       3066.0\n",
              "IMAX            2492.0\n",
              "Horror          2215.0\n",
              "War             2113.0\n",
              "Musical         1822.0\n",
              "Western          900.0\n",
              "FilmNoir         291.0\n",
              "Documentary      108.0\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ERXWTO-MigZO",
        "colab_type": "code",
        "outputId": "ee24d711-7a28-4af5-da4e-432da486b125",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "# solução: calculando os 2 generos mais votados\n",
        "votos_por_genero.iloc[:2]"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Action    15734.0\n",
              "Drama     15445.0\n",
              "dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WLlt4h1cYgI2",
        "colab_type": "code",
        "outputId": "d96138e0-d81c-4148-b69c-c2ed938c7f8f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "# solução: encontrando os top 5 filmes desses generos\n",
        "filmes.query('Action == 1 & Drama==1').nota_media #Descobrindo os filmes de ação e drama\n",
        "print(f'{filmes.query(\"Action==1 & Drama==1\").nota_media.iloc[:5]}\\n')#Descobrindo o top5\n",
        "filmes['titulo'].loc[[110,145,168,292,293]]#Descobrindo o título dos filmes."
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "filmeId\n",
            "110    4.032\n",
            "145    3.245\n",
            "168    3.083\n",
            "292    3.426\n",
            "293    4.019\n",
            "Name: nota_media, dtype: float64\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "filmeId\n",
              "110                                    Braveheart (1995)\n",
              "145                                      Bad Boys (1995)\n",
              "168                                  First Knight (1995)\n",
              "292                                      Outbreak (1995)\n",
              "293    Léon: The Professional (a.k.a. The Professiona...\n",
              "Name: titulo, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aqwwbLLvigZa",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: Quais são os 2 generos com maior valor de correlação com a `nota_media`? E os 2 com menor valor de correlação com a `nota_media`?\n",
        "\n",
        "- O pandas possui a função `corr` para calcular correlação entre todas as colunas"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d74lCWkJigZb",
        "colab_type": "code",
        "outputId": "544a3639-bf21-46fd-8446-f9bb4ab7d27e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "# solucao\n",
        "print(filmes.corr().loc['nota_media'].sort_values())\n",
        "print(f'\\nObservando a informação acima percebe-se que são: Drama e Comédia(nesta ordem).')"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Comedy              -0.255977\n",
            "ano_de_lancamento   -0.159144\n",
            "Action              -0.154109\n",
            "SciFi               -0.136717\n",
            "Adventure           -0.080021\n",
            "Romance             -0.072016\n",
            "Western             -0.059651\n",
            "Horror              -0.033917\n",
            "Children            -0.030392\n",
            "Fantasy             -0.020928\n",
            "Thriller            -0.016787\n",
            "Musical             -0.008502\n",
            "Documentary         -0.003473\n",
            "Animation            0.043065\n",
            "IMAX                 0.064912\n",
            "FilmNoir             0.081768\n",
            "War                  0.125626\n",
            "Mystery              0.129906\n",
            "Crime                0.190251\n",
            "Drama                0.277641\n",
            "total_de_votos       0.342581\n",
            "nota_media           1.000000\n",
            "Name: nota_media, dtype: float64\n",
            "\n",
            "Observando a informação acima percebe-se que são: Drama e Comédia(nesta ordem).\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1xIG4whgigZi",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: Quais são os 2 generos com maior valor de correlação com `total_de_votos`? E quais os 2 com menor valor de correlação com `total_de_votos`?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xyO8fp8aigZj",
        "colab_type": "code",
        "outputId": "2d918e0e-f3e7-4602-a25a-e8566e9ae4c9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "# solucao\n",
        "print(filmes.corr().loc['total_de_votos'].sort_values())\n",
        "print(f'\\nObservando a informação acima percebe-se que,de forma negativa ou não, os gêneros de maior correlação são: Comédia e Aventura (nesta ordem).')"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Comedy              -0.128527\n",
            "Western             -0.060789\n",
            "Documentary         -0.055010\n",
            "Romance             -0.045427\n",
            "FilmNoir            -0.039408\n",
            "Horror              -0.036132\n",
            "ano_de_lancamento   -0.028709\n",
            "Musical             -0.024741\n",
            "IMAX                -0.016285\n",
            "Fantasy             -0.009976\n",
            "Mystery             -0.007051\n",
            "Children             0.001764\n",
            "Drama                0.018779\n",
            "Animation            0.023442\n",
            "SciFi                0.063802\n",
            "Action               0.066239\n",
            "Crime                0.079766\n",
            "Thriller             0.085525\n",
            "War                  0.087999\n",
            "Adventure            0.104380\n",
            "nota_media           0.342581\n",
            "total_de_votos       1.000000\n",
            "Name: total_de_votos, dtype: float64\n",
            "\n",
            "Observando a informação acima percebe-se que,de forma negativa ou não, os gêneros de maior correlação são: Comédia e Aventura (nesta ordem).\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "O9YIeYYRigZp",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: Visualize graficamente o relacionamento entre ano de lançamento e nota média\n",
        "\n",
        "- Use o gráfico `lineplot`"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XSSBV2-IigZs",
        "colab_type": "code",
        "outputId": "2a6fc341-fa3f-419e-ba2d-271fb4306efe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "# solucao\n",
        "plt.figure(figsize=(10,7)) #Configurando imagem da figura\n",
        "sns.lineplot(data=filmes,x='ano_de_lancamento',y='nota_media')#Plotando o gráfico\n",
        "plt.title('Nota média x ano de lançamento')#Título\n",
        "plt.show()"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Y6UUQ8JFigZx",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: Interprete a correlação entre `ano_de_lancamento` e a `nota_media`?\n",
        "\n",
        "- Calcule a correlação numericamente (use o `corr` do pandas)\n",
        "- Correlação não implica causalidade, qual \"problema\" na coleta dos dados pode gerar esse tipo de correlação?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tG4tr_VbigZ3",
        "colab_type": "code",
        "outputId": "42d6212d-433a-49e3-ae42-f5ca3f5188df",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "# solução (código)\n",
        "filmes[['ano_de_lancamento','nota_media']].corr()"
      ],
      "execution_count": 47,
      "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>ano_de_lancamento</th>\n",
              "      <th>nota_media</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>ano_de_lancamento</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.159144</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>nota_media</th>\n",
              "      <td>-0.159144</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                   ano_de_lancamento  nota_media\n",
              "ano_de_lancamento           1.000000   -0.159144\n",
              "nota_media                 -0.159144    1.000000"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0dWWI0G2igZ7",
        "colab_type": "text"
      },
      "source": [
        "### Solução (explicação)\n",
        "  Se observassemos apenas os dados obtidos pela função \"corr\" concluiríamos que quanto mais recente o filme, menor sua nota média. No entando observando o gráfico de lineplot percebemos que a correlação é tão baixa que nem é possível determinar isso. \n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tFSKFrN-igZ8",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: analise um pairplot\n",
        "\n",
        "- crie uma variável chamada `infos` baseada nas colunas `ano_de_lancamento`, `nota_media` e `total_de_votos` de `filmes`\n",
        "- faça o pairplot usando seaborn\n",
        "- coloque uma regressão linear para cada pequeno plot dentro dele"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DUFfROwVigZ9",
        "colab_type": "code",
        "outputId": "a030570b-072b-432c-940d-6ae29609dae9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "# solução\n",
        "infos=filmes[['ano_de_lancamento','nota_media','total_de_votos']]#criando infos.\n",
        "sns.pairplot(infos,kind='reg')#A função \"kind='reg'\" possibilita realizar uma regressão linear.\n",
        "plt.show()#Mostrar apenas a figura"
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 540x540 with 12 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pr9BSjYKigaA",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: analise um pairplot dos filmes de `Animation`\n",
        "\n",
        "- use o dataframe `filmes`\n",
        "- em um único pairplot separe com cores distintas os filmes da categoria `Animation` dos outros\n",
        "- use uma palete como `husl`\n",
        "- use marcadores distintos para cada um dos dois grupos\n",
        "- faça o pairplot usando seaborn e coloque uma regressão linear para cada pequeno plot dentro dele\n",
        "- tanto em x quanto y use somente três variáveis: `total_de_votos`, `ano_de_lancamento`, `nota_media`"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jls_Fv0OigaB",
        "colab_type": "code",
        "outputId": "464897d1-0bca-4fae-8670-e29f3e0c685c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        }
      },
      "source": [
        "plt.figure(figsize=(20,10))\n",
        "ax=sns.pairplot(filmes,x_vars=['total_de_votos','ano_de_lancamento','nota_media'],y_vars=['total_de_votos','ano_de_lancamento','nota_media'],#colocando as colunas que serão usadas no pairplot.\n",
        "             hue='Animation',palette='husl',markers=['D','o'],kind='reg')#Diferenciando os filmes entre os que são de animação ou não em cor e marcador.\n",
        "ax.fig.suptitle('Pairplot comparando filmes de animação(1) ou não(0)', y=1.05)#Plotando um titulo na figura.\n",
        "plt.show()"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 599x540 with 12 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dLgXfG3QigaE",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: Analise a regressão em relação ao ano de lançamento.\n",
        "\n",
        "- Como parece se comportar a `nota_media` de filmes de `Animation` mais antigos e mais recentes? (ano_de_lancamento x nota_media). Essa correlação parece ser baixa, mas parece ser linear?\n",
        "- E o `ano_de_lancamento` x `total_de_votos`?\n",
        "- E das outras categorias? Compare isso com os outros filmes.\n",
        "- O que leva você levantar como hipótese para esse resultado?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xoyMYvHvigaF",
        "colab_type": "text"
      },
      "source": [
        "### Solução:\n",
        "- Enquanto que os filmes animados tendem a aumentar a nota média com o passar do tempo, os filmes não animados tendem a registrar uma queda de nota média. Olhando para os pontos do grafico nota_media x ano_de_lançamento nota-se que essa tendência decai rapidamente de forma exponencial para os filmes não animados.\n",
        "- Diferente das notas medias, gráfico ano_de_lançamento x total_de_votos mostra que a quantidade de votos aumentaram até aproximadamente os anos 2000, e depois disso, decaiu. Oque nos leva a concluir q a maioria dos votos realizados nesse site foram para filmes próximo do ínicio do seculo 21.\n",
        "- Observando o gráfico ano_de_lançamento x ano_de_lançamento observamos um aumento na quantidade de filmes coletados na amostra até o início do século 21.\n",
        "- Com essas duas observações podemos levar algumas hipóteses como:\n",
        " - As notas médias que mais devem se aproximar com o cenário real, são de filmes próximos do início da década.   \n",
        " - Com a evolução das tecnologias de animação, os filmes começaram a ganhar mais relavância para a população real e melhores notas.\n",
        " - A queda de nota média de filmes não animados ocorre pois, com o aumento do número de votos, a nota média passou a ser um dado mais próximo do real apartir do século 21\n",
        " - O decaimento de votos depois dos anos próximos a 2000 ocorre pois a quantidade de pessoas que votaram em filmes novos é menor que as que votaram em filmes do início do século. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FsbAxhMligaH",
        "colab_type": "text"
      },
      "source": [
        "## Pergunta: Explore\n",
        "\n",
        "- compartilhe conosco 2 visualizações extras que julgar interessante\n",
        "- explique o que encontrou\n",
        "- use quantas células (texto ou código) julgar necessário"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tVcLb5GCi4vd",
        "colab_type": "text"
      },
      "source": [
        " ### 1º visualização: \n",
        " Decidi explorar um pouco mais os filmes de western, e buscar em que época ele estava \"bombando\" em produções. Para isso pesquisarei a frequencia em que os filmes foram lançados. E então associarei com momentos históricos os prováveis motivos dessa ascensão e queda da produção."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0VJclVviksYG",
        "colab_type": "code",
        "outputId": "4fb31856-b3dd-49ca-b82d-7001b789e59c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 422
        }
      },
      "source": [
        "plt.figure(figsize=(10,6))\n",
        "sns.distplot(filmes.query('Western == 1')['ano_de_lancamento'],color='blue')\n",
        "plt.title('Frequencia de lançamento de filmes de Western')\n",
        "plt.ylabel('Frequencia relativa')"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Frequencia relativa')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 50
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Ap5wChxySbKwiEh+NORMRSYHMxOwnP4HevbckZgBt28Jll/n2Rx6Bf/wDQkguXhGJj5IzEZGErVwJN920JTHr0aPy/Ro1gvPPh8MPh9df93FpIlJ4lJyJiCTsscdgwYLqE7NyJSVw4omw667wz3/C2rW5iVFEckfJmYhIgubOhXHjvDVsa4lZuZISOPVUWLYMnn023vhEJPeUnImIJOjpp6FhQzj66G27X5cucOCB8OKLPrNTRAqHkjMRkYS8/jp88AEMHgyNG2/7/Y8/Hho0gOHDNTlApJAoORMRSUAIcMkl0Lw5HHro9h1jhx1g2DCYMgXeead24xOR5Cg5ExFJwL/+BWPGwNChXv1/ex188JbJARs21F58IpIcJWciIjm2cSNcfrkXmd1//5odq6QEvvUtX+pp4sTaiU9EkqXkTEQkxx59FCZPhmuugdLSmh+vd29o1crHsIlI/lNyJiKSY3ff7WUzjj++do5XUgIHHQSffKKZmyKFQMmZiEgOTZsGb74JZ53lC5vXlgMO8FY4tZ6J5D8lZyIiOfTAA97S9b3v1e5xmzaFfv18ksH69bV7bBHJLSVnIiI5snmzJ2dHHgnt2tX+8Q8+GL78EsaPr/1ji0juKDkTEcmRV17x5ZrOPDOe43frBm3aqGtTJN8pORMRyZH774dmzbxwbBzMvPVs5kyYMyeexxCR+Ck5ExHJgRUr4Ikn4JRTfC3NuOy3H9StC2+8Ed9jiEi8lJyJiOTAP/8Ja9bE16VZrnFj2GcfGDtWEwNE8pWSMxGRHLj/fq9ttt9+8T/WvvvCunXw0UfxP5aI1D4lZyIiMSuvbXbmmbVb26wq3btDo0bw7rvxP5aI1D4lZyIiMXvkEU/Karu2WVVKS2HPPWHSJNi0KTePKSK1J9bkzMwGm9nHZjbNzC6t5Pb6ZjYiun2smXWMtnc0szVmNjE63RlnnCIicXrmGe/ObN8+d4/Zt6/XPPvkk9w9pojUjtiSMzMrBW4Hvgn0Bk41s94VdjsbWBpC6ArcBFyXcdv0EEKf6HReXHGKiMTpiy9g3Dg49tjcPm7v3lCvnro2RfJRnC1n+wLTQggzQgjrgeFAxeo+w4AHosuPA4eb5WJEhohIbowa5ee5Ts7q1YPdd4eJE31lAhHJH3EmZ+2AuRnX50XbKt0nhLARWA60jG7rZGbvmtlrZnZQjHGKiMTmmWe8O3PPPXP/2H37wvLlMGtW7h9bRLZfWicEfA50CCH0BX4OPGJmTSvuZGbnmNl4Mxu/cOHCnAcpIlKdtWvh+ee91SyJPoE99vBF1tW1KZJf4kzOPgV2zbjePtpW6T5mVgdoBiwOIawLISwGCCFMAKYD3Ss+QAjh7hBC/xBC/9atW8fwFEREtt9rr8Hq1TB0aDKP36gR9OzpXZshJBODiGy7OJOzcUA3M+tkZvWAU4CRFfYZCZwRXT4ReDmEEMysdTShADPrDHQDZsQYq4hIrXvmGV+q6dBDk4uhb19YsAA++yy5GERk28SWnEVjyC4AngMmA4+FED40s6vN7Lhot3uBlmY2De++LC+3cTAwycwm4hMFzgshLIkrVhGR2haCJ2dHHBHvWppbs9de3qU6cWJyMYjItqkT58FDCKOAURW2XZlxeS1wUiX3ewJ4Is7YRETi9NFHPhD/ssuSjaNZM+jc2cedDRmSbCwikp20TggQEclrzzzj52lIiPbaC+bOhaVLk45ERLKh5ExEJAbPPAP9+kG7igWEEtA7Kv89ZUqycYhIdpSciYjUssWL4a23cl94tirt2sEOO3hXq4ikn5IzEZFa9t//elX+tCRnJSXQq5e3nKmkhkj6KTkTEallL74ILVvC3nsnHckWvXrBihXwacVqkyKSOkrORERqUQjw8sswaJC3WKVFr15+PnlysnGIyNal6KNDRCT/zZwJc+YkW3i2MjvuCG3aaNyZSD5QciYiUoteecXP05acgbeeTZ0KGzYkHYmIVEfJmYhILXrlFdh55y3diGnSq5cnZtOnJx2JiFRHyZmISC0JwZOzQYN8yaS06d7dx8Fp3JlIuik5ExGpJVOn+gLjaezSBGjQwJdy0rgzkXRTciYiUkvSPN6sXO/evpTTqlVJRyIiVVFyJiJSS155Bdq2hW7dko6kar16eferlnISSS8lZyIitSAEePVVbzVL43izcrvtBg0batyZSJopORMRqQWTJ8P8+enu0gQoLYUePTxeLeUkkk5KzkREakE+jDcr17OnL86+eHHSkYhIZZSciYjUgldegQ4doFOnpCPZuu7d/Xzq1GTjEJHKKTkTEamhzZs9OTvssHSPNyvXpg00aqTkTCStlJyJiNTQ++/DkiX50aUJXoi2WzclZyJppeRMRKSGXn3VzwcNSjKKbdOtGyxYAMuXJx2JiFSk5ExEpIZGj/bxZh06JB1J9sprsan1TCR9lJyJiNRACJ6cHXhg0pFsm113hfr1lZyJpJGSMxGRGpgzx9fTzLfkrLQUunRRciaSRkrORERqYPRoPz/ggGTj2B7dusGnn8Lq1UlHIiKZlJyJiNTAW29Bkyawxx5JR7LtysedTZuWbBwi8lVKzkREamD0aBgwAOrUSTqSbdexo8etrk2RdFFyJiKynVauhEmT8rNLE6BuXU/QlJyJpIuSMxGR7TR2rK8OkG+TATJ16+aTGtauTToSESmn5ExEZDuNHu3LNQ0YkHQk2697d08wZ8xIOhIRKafkTERkO731lk8EaNo06Ui2X+fOvpyTujZF0kPJmYjIdti0Cd5+O7+7NAEaNPCVDZSciaTHVucXmVlr4BKgN9CgfHsI4bAY4xIRSbUPPvAJAfmenIGPO3vlFdiwwScJiEiysmk5+wcwGegE/BaYBYyLMSYRkdR76y0/z9eZmpm6dIGNG31igIgkL5vkrGUI4V5gQwjhtRDC9wG1molIURs9Gtq08VIU+a5zZz/XpACRdMgmOdsQnX9uZkPMrC/QIsaYRERS7623vEvTLOlIaq5ZM2jVCqZPTzoSEYHskrPfm1kz4BfAxcDfgJ/FGpWISIp9/jnMnFkYXZrlunTx5CyEpCMRkWwWHBkbQlgOLAcOjTkeEZHUK1/svBAmA5Tr0sWL6i5e7K1oIpKcbFrORpvZ82Z2tpntGHtEIiIpN2YM1K8PffokHUntKR93pq5NkeRtNTkLIXQHrgB2ByaY2TNm9r3YIxMRSamxY6FfP6hXL+lIak+7dp5wKjkTSV5WRWhDCGUhhJ8D+wJLgAdijUpEJKU2bIAJE2C//ZKOpHaVlHjrmWZsiiRvq8mZmTU1szPM7D/AW8DneJK2VWY22Mw+NrNpZnZpJbfXN7MR0e1jzaxjhds7mNkqM7s4q2cjIhKzDz6ANWsKLzkDT87mzdMi6CJJy6bl7D2gD3B1CKF7COGSEMKErd3JzEqB24Fv4qsLnGpmvSvsdjawNITQFbgJuK7C7TcC/8kiRhGRnBg71s8LMTnr0sVna86cmXQkIsUtm9manUPYrsnV+wLTQggzAMxsODAM+Chjn2HAVdHlx4HbzMxCCMHMvgXMBFZvx2OLiMRi7Fho3bowis9W1KmT122bMQN69Uo6GpHiVWVyZmY3hxB+Cow0s68lZyGE47Zy7HbA3Izr84CKvzX/t08IYaOZLQdamtlafD3PI/HaaiIiqTB2rLeaFULx2YoaNfJVDzQpQCRZ1bWcPRSd/zkXgVRwFXBTCGGVVfMJaGbnAOcAdOjQITeRiUjRWr4cpkyB005LOpL4dOkC48fD5s0+SUBEcq/Kf72McWV9ojU1/3fCx6BtzafArhnX20fbKt3HzOoAzYDFeAvb9WY2C/gpcLmZXVBJjHeHEPqHEPq3bt06i5BERLbfuHE+JqsQx5uV69LFJzx88UXSkYgUr2x+F51RybYzs7jfOKCbmXUys3rAKcDICvuMzDj+icDLwR0UQugYQugI3AxcG0K4LYvHFBGJTflkgH32STaOOKkYrUjyqhtzdipwGtDJzDKTqh3wWmfVisaQXQA8B5QC94UQPjSzq4HxIYSRwL3AQ2Y2LTrmKdv/VERE4jV2LPTsCc2bJx1JfHbaCZo08eTsoIOSjkakOFU35qy8plkr4IaM7SuBSdkcPIQwChhVYduVGZfXAidt5RhXZfNYIiJxCsGXbTrmmKQjiZeZitGKJK3K5CyEMBuYDeyfu3BERNJp1ixYuLCwx5uV69IFJk2CVau8FU1EciubFQIGmNm4qFL/ejPbZGYrchGciEhaFHLx2Yo6dfJzFaMVSUY2EwJuA04FpgINgR/glf9FRIrG2LHQoAHssUfSkcSvY8ctxWhFJPeyXfh8GlAaQtgUQvg7MDjesERE0mXsWNh7b6hbN+lI4le/PrRvr5YzkaRkk5x9GZXCmGhm15vZz7K8n4hIQVi/Ht55pzi6NMt17uzJ2ebNSUciUnyySbJOx0thXICvc7krcEKcQYmIpMmkSbBuXXElZ506wdq18PnnSUciUny2uvB5NGsTYA3w23jDERFJn7IyPy+m5Ky8GO2MGdCuXbKxiBSb6orQvg98bcHzciGEPWOJSEQkZcrKvDhrMS3hu9NO0Lixd22qGK1IblXXcnZszqIQEUmxceNg3319BmOxUDFakeRUt/D57PJTtKlbdHkBWSzfJCJSCFauhMmTC3s9zap06uRjzr78MulIRIpLNkVofwg8DtwVbWoPPB1nUCIiaTFhgi/dtO++SUeSe+XjzlRSQyS3spmteT5wILACIIQwFdgpzqBERNJi3Dg/798/2TiSoGK0IsnIJjlbF0JYX37FzOpQzUQBEZFCUlbm3XutWiUdSe41bAht26rlTCTXsknOXjOzy4GGZnYk8E/g3/GGJSKSDuWTAYpVp04qRiuSa9kkZ5cAC4H3gXOBUcAVcQYlIpIGCxbA7NnFORmgXOfOPiFgwYKkIxEpHtUWoTWzUuDDEEJP4J7chCQikg7l482KPTkDmD4ddtkl2VhEikW1LWchhE3Ax2ZWRKUXRUTcuHFQUgL9+iUdSXJ23hkaNdK4M5Fc2uryTcCOwIdmVoavrQlACOG42KISEUmBsjLo3RuaNEk6kuSUlPisTc3YFMmdbJKzX8cehYhIyoTgLWdDhyYdSfI6d4Znn/WF0Bs0SDoakcKXzcLnr+UiEBGRNJk1CxYtKu6ZmuU6d/ZkdeZM6NUr6WhECl82szVFRIqOJgNs0bGjn2vcmUhuKDkTEanEuHFQrx7ssUfSkSSvcWNo00bjzkRyRcmZiEglysqgb19P0MSL0c6Y4d2bIhKvbBY+72Zmj5vZR2Y2o/yUi+BERJKwaZMveK4uzS06d4bVq2HhwqQjESl82bSc/R34K7AROBR4EHg4zqBERJI0ZYonIkrOtigvRquuTZH4ZZOcNQwhvARYCGF2COEqYEi8YYmIJKeszM+VnG3Rpo2X0VByJhK/bOqcrTOzEmCqmV0AfAoUcUlGESl048ZB06bQo0fSkaSHitGK5E42LWcXAY2AC4G9gdOBM+IMSkQkSWVl3mpWoilTX9G5M3z6Kaxbl3QkIoVtqx89IYRxIYRVIYR5IYSzQgjfDiGMyUVwIiK5tnYtvPeeis9WpnNn2LwZZs9OOhKRwlZlt6aZ3RxC+KmZ/Rv42uRpra0pIoVo4kTYuFHJWWU6dfLzGTOge/dkYxEpZNWNOXsoOv9zLgIREUmD8skASs6+rkkT2GknjTsTiVuVyVkIYUJ0cTywJoSwGcDMSoH6OYhNRCTnysqgXTto2zbpSNKpc2f46CMvRmuWdDQihSmb4a4v4RMCyjUEXownHBGRZJWVqdWsOp07w4oVsHhx0pGIFK5skrMGIYRV5Veiy42q2V9EJC8tWQJTpyo5q46K0YrEL5vkbLWZ9Su/YmZ7A2viC0lEJBnjx/u5krOqtW3r640qOROJTzZFaH8K/NPMPgMM2AU4OdaoREQSUFbm46j23jvpSNKrtNSL0c6cmXQkIoVrq8lZCGGcmfUEymtlfxxC2BBvWCIiuVdWBj17QrNmSUeSbp07w/PPw/r1SUciUpiyaTkD2AfoGO3fz8wIITwYW1QiIjkWgidngwcnHUn6derkxWjnzEk6EpHCtNXkzMweAroAE4FN0fZNN4EAACAASURBVOYAKDkTkYIxdy7Mn6/xZtkonxSgrk2ReGTTctYf6B1C+NoqASIihULFZ7PXtCm0aqVJASJxyWa25gf4JIBtZmaDzexjM5tmZpdWcnt9MxsR3T7WzDpG2/c1s4nR6T0zO357Hl9EJFtlZT4Lcc89k44kP3TurORMJC7ZtJy1Aj4yszJgXfnGra2tGa0kcDtwJDAPGGdmI0MIH2XsdjawNITQ1cxOAa7DZ4J+APQPIWw0szbAe2b27xDCxm15ciIi2Sorg759PUGTrevUyV+zuXNh112TjkaksGSTnF21ncfeF5gWQpgBYGbDgWFAZnI2LOP4jwO3mZmFEL7M2KcBlSy8LiJSWzZt8hpnZ52VdCT5o3zc2ZgxSs5EattWuzVDCK8Bs4C60eVxwDtZHLsdMDfj+rxoW6X7RK1iy4GWAGa2n5l9CLwPnKdWMxGJy+TJsHq1xptti/btoW5dePvtpCMRKTxbTc7M7Id4q9Zd0aZ2wNNxBgUQQhgbQtgdL+NxmZk1qCS2c8xsvJmNX7hwYdwhiUiB0mSAbVenDuy2m7eciUjtymZCwPnAgcAKgBDCVGCnLO73KZDZ2N0+2lbpPmZWB2gGfGU53RDCZGAV8I2KDxBCuDuE0D+E0L9169ZZhCQi8nVlZV54tlu3pCPJL506wYQJsG7d1vcVkexlk5ytCyH8rw50lERlMwZsHNDNzDqZWT3gFGBkhX1GAmdEl08EXg4hhOg+daLH2w3oiXetiojUurIy2GcfKMnmE1H+p3NnXyVg4sSkIxEpLNl8FL1mZpcDDc3sSOCfwL+3dqdojNgFwHPAZOCxEMKHZna1mZXP9LwXaGlm04CfA+XlNgbiMzQnAk8BPw4hLNqWJyYiko01a2DSJHVpbo/MSQEiUnuyma15KV7y4n3gXGAU8LdsDh5CGBXtn7ntyozLa4GTKrnfQ8BD2TyGiEhNvPuuz9ZUcrbtmjeHDh18UsBFFyUdjUjhyGbh883APdFJRKSgaDJAzQwYoJYzkdqWzWzNmWY2o+IpF8GJiMStrMzLQrRpk3Qk+Wn//WH2bPj886QjESkc2a6tWa4B3g3ZIp5wRERyq6xMrWY1MWCAn48ZA8droT2RWpFNEdrFGadPQwg3A0NyEJuISKwWL4bp05Wc1UT5klcqRitSe7bacmZm/TKuluAtadm0uImIpNq4cX6u5Gz71a8P/fpp3JlIbcomyboh4/JGvN7Yd2KJRkQkh8rKwAz23jvpSPLbgAFw551e80wLx4vUXDazNQ/NRSAiIrlWVga9ekHTpklHkt8GDoSbb/ayJPvtl3Q0Ivkvm27Nn1d3ewjhxtoLR0QkN0Lw5GyIRtDW2IEH+vmbbyo5E6kN2awQ0B/4Eb7geTvgPKAfsEN0EhHJO7Nnw8KFGm9WG3bZBbp29eRMRGoumzFn7YF+IYSVAGZ2FfBsCOF7cQYmIhInFZ+tXQceCKNGeYukWdLRiOS3bFrOdgbWZ1xfH20TEclbZWU+03CPPZKOpDAMHOgtkVOnJh2JSP7LpuXsQaDMzJ6Krn8LeCC+kERE4jdu3JYaXVJzAwf6+ZtvQvfuycYiku+yKUJ7DXAWsDQ6nRVCuDbuwERE4rJxI4wfry7N2tSjB7RsqXFnIrUhm25NgEbAihDCLcA8M+sUY0wiIrGaPBm+/FLJWW0y89YzJWciNZfNwue/AS4BLos21QUejjMoEZE4jR3r5/vsk2wchWbgQB9zNn9+0pGI5LdsWs6OB44DVgOEED5DJTREJI+9/bZ3wXXrlnQkhaV83Nno0cnGIZLvsknO1ocQAhAAzKxxvCGJiMTr7bd9ySGVfKhd/fpBgwbq2hSpqWySs8fM7C6guZn9EHgRuCfesERE4rFkiY85O+CApCMpPPXq+Tg+JWciNVNtKQ0zM2AE0BNYAfQArgwhvJCD2KSI3H130hHUzDnnJB1B8drW984HH/j54sX5/75Lo4ED4frrYfVqaKx+FpHtUm3LWdSdOSqE8EII4ZchhIuVmIlIPpsxw7szd9st6UgK08CBXqqkfAUGEdl22XRrvmNmmtMkIgVh+nRo397HRknt239/T37VtSmy/bJZIWA/4HtmNgufsWl4o9qecQYmIlLbNm+GmTN9MoDEo3lzXxJLyZnI9qsyOTOzDiGEOcDROYxHRCQ2n30G69ZB585JR1LYBg6EBx/07s062TQBiMhXVNet+TRACGE2cGMIYXbmKTfhiYjUnunT/bxLl2TjKHSHHAKrVsG77yYdiUh+qi45y6wApN+ZIpL3ZsyAHXaAVq2SjqSwHXKIn7/6aqJhiOSt6pKzUMVlEZG8NGOGd2mq+Gy8dt4ZevZUciayvapLzvYysxVmthLYM7q8wsxWmtmKXAUoIlIbVq6EBQvUpZkrgwbBG2/4uDMR2TZVJmchhNIQQtMQwg4hhDrR5fLrTXMZpIhITc2Y4eeaDJAbgwZ5QqxxZyLbLps6ZyIieW/GDCgpUfHZXNG4M5Htp+RMRIrCjBnQoYOv/yjx22UXjTsT2V5KzkSk4G3aBLNmqUsz1zTuTGT7KDkTkYI3bx6sX6/kLNc07kxk+yg5E5GCV158VslZbmncmcj2UXImIgVv2jRo0QJatkw6kuKicWci20fJmYgUtBBg6lTo2jXpSIqTxp2JbDslZyJS0BYsgBUroFu3pCMpThp3JrLtlJyJSEGbOtXPlZwlQ+PORLadkjMRKWjTpkGTJj7+SXJvl12gRw8lZyLbQsmZiBS08vFmWuw8OeXjzjZsSDoSkfyg5ExECtbSpbBokbo0k3bEET7urKws6UhE8kOsyZmZDTazj81smpldWsnt9c1sRHT7WDPrGG0/0swmmNn70flhccYpIoVJ483S4bDDfF3TF15IOhKR/BBbcmZmpcDtwDeB3sCpZta7wm5nA0tDCF2Bm4Drou2LgKEhhD2AM4CH4opTRArXtGnQoAG0b590JMWtRQvo3x+efz7pSETyQ5wtZ/sC00IIM0II64HhwLAK+wwDHoguPw4cbmYWQng3hPBZtP1DoKGZ1Y8xVhEpQFOn+qoApaVJRyJHHQVjx8KyZUlHIpJ+cSZn7YC5GdfnRdsq3SeEsBFYDlSs4X0C8E4IYV1McYpIAVq1Cj77TF2aaXHkkbB5M7zyStKRiKRfqicEmNnueFfnuVXcfo6ZjTez8QsXLsxtcCKSatOm+Xn37snGIW7AAC9poq5Nka2LMzn7FNg143r7aFul+5hZHaAZsDi63h54Cvh/IYTplT1ACOHuEEL/EEL/1q1b13L4IpLPpk2DOnVgt92SjkQA6tWDQw/VpACRbMSZnI0DuplZJzOrB5wCjKywz0h8wD/AicDLIYRgZs2BZ4FLQwijY4xRRArU1KnQqRPUrZt0JFLuyCNh+nSYMSPpSETSLbbkLBpDdgHwHDAZeCyE8KGZXW1mx0W73Qu0NLNpwM+B8nIbFwBdgSvNbGJ02imuWEWksKxdC3PmaLHztDnqKD9X65lI9erEefAQwihgVIVtV2ZcXgucVMn9fg/8Ps7YRKRwzZjhg8813ixduneHDh183Nm5lY4kFhFI+YQAEZHt8fHHXvS0c+ekI5FMZt61+dJLsHFj0tGIpJeSMykoIXgJhTlz4P33fXzLwoWwToVYisqUKT7erEGDpCORio46CpYvh/Hjk45EJL1i7dYUiVsInoiNHw8ffOCJWFWLKzdo4DWvdt/dTztpFGNBWr0aZs+GIUOSjkQqc/jh3oL2/PNeXkNEvk7JmeSllSu9a2T8eE/ISkqgZ0/o3duXimnRApo2hTVrYMUKPy1eDJMne4saeHJ20EF+atgw2ecjteeTTzxp79kz6UikMi1bwt57+6SAK6/c+v4ixUjJmeSVDRvg5Zdh1CjvquzZEwYPhj59vMBlNhYsgA8/hHfegSeegGef9QTt8MNhxx3jjV/iN2UK1K/v3ZqSTkcdBdddB0uX6n9OpDJKziQvhADvvuvJ1KJFsMcecMIJ0KbNth9rp538dOihMGsWvPiit8K99BIccYR3h2msUv6aPNm7r+vo0y21hg6Fa6+F//4XTj016WhE0kcfX5J669fDI4/A229Du3Zw0UXefVkbOnaEH/wAvvUtb0F7/nkYNw6+8x3o29fHxkj+WLoU5s/3llBJr3339R9II0cqOROpjJIzSbVFi+DOO2HuXG/ROvZYH19W21q1gjPOgIEDPRG86y6fNHD66ep2ySdTpvh5r17JxiHVKynx/+cnn/ShClrFQeSrVEpDUuujj7zrY9EiOP98OO64eBKzTF26wOWXe8vZtGnwu99tmUAg6Td5MuywA7Rtm3QksjVDh3pJjTffTDoSkfRRciapNGYM/OUv0Ly5J0t77pm7xy4t9ckBv/qVz/q87TZ4/HEVzUy7EDw569kz/iReau7II33ixr//nXQkIumjjzBJnTFj4P77oUcPuOSS5OqR7byzP/6gQT7t/09/8jFNkk6ff+4lU1RCIz80aQKHHebjzkJIOhqRdFFyJqmSmZidf77/sk5S3bo+YPncc+GLL+CPf/Txb5I+5ePNlJzlj6FDfRWP8r+diDglZ5IaFROzevWSjmiLfv3g//7PZ2/+6U8ah5ZGkydD69Y+uUPyw7HH+rm6NkW+SsmZpMJ776U3MSvXrh1ceql3d95+O7zyStIRSblNm3xlAM3SzC+77uola0aOTDoSkXRRciaJe+89uPde6NAhvYlZuebN4eKLvQju8OEaL5MWs2bB2rXq0sxHQ4d6DcNFi5KORCQ9lJxJor74wj+cGzZMf2JWrn59+NGP4MADvXDtk08qQUvaRx95l3OPHklHIttq6FDYvNmXZBMRp+RMErN2LRx/vC9Ifv750KxZ0hFlr6QEvvc9OOQQX1Xgoov8C0aSMWkSdO6c/fqqkh79+vkybBp3JrKFVgiQRIQAZ5/tkwCefBIWLkw6om1XUuIzOevWhVtvhTVrfGUB1djKrWXLYM4cX4JL8k9JibeePfKI/w81bJh0RCLJ09eIJOLWW/3D+NprvfUsX5nBiSd6wdq//c1bANXFmVsffODnuSxULLXrpJNg1Sr4z3+SjkQkHdRyJjk3YQL88pe+HNOllyYdTc2Z+TJPGzfCddf58kHXXadF03Nl0iRfyUFLNuWvQYO8DMqIEfDtbycdjUjylJxJTq1YASef7FX/77uvcBIYM/jDH/z5/elPPn7uV79KOqrCt3atFzAdMKBw3kvFqE4dbz37+9+9BU1jB6XYqVtTciYEr7Q/axY8+ii0bJl0RLXLzNfhPP10uOIKXxtU4vXaa7BunZc2kfx28sk+5uyZZ5KORCR5Ss4kZ+6912uD/fa3MHBg0tHEo6TEWwSPP95ncP7jH0lHVNieecYnZKiERv4bONC7pocPTzoSkeQpOZOcmDIFLrwQDj+8MMaZVadOHW8ZHDQIzjpLKwnEJQRPznr1yo/6eFK9khL4znd8UsDy5UlHI5IsJWcSu40b4YwzfIr8Qw9BaWnSEcWvfn146ino1s1b0cpnFErt+egj7yJXl2bhOOUUWL8enn466UhEkqXkTGJ3/fVQVgZ33OHFJotF8+beCtCoERxzDHz2WdIRFZbysUlKzgrHvvtCx44+a1OkmCk5k1hNmgRXXeUzsU4+Oelocq9DB1+WZulST9BWrkw6osLxzDO+aPaOOyYdidQWM/+ceOEFXzlEpFgpOZPYrF/v3Zk77uitZsWqTx94/HHv2vzud2HTpqQjyn9LlsBbb8GxxyYdidS2U07xoRBPPpl0JCLJUXImsbnmGpg40Zc0atUq6WiSdfTRcMstvn7g5ZcnHU3+GzXK1zIdMiTpSKS27bUXdO+uWZtS3JScSSzefdeTs9NP15qH5c4/H370Ix+D98ADSUeT3x57DNq1g332SToSqW1mcNppPst59uykoxFJhpIzqXUbN8IPf+itZbfcknQ06XLLLV5O5JxzvFtOtt2yZfDf/3rZBS0yX5jOPNPP77sv0TBEEqPlm6TW3Xqrr585YkTxDNa+++7s9x0yBN5/HwYP9i7OFi3iiytb55yTdATZe/pp2LDBxyZJ8rblvb8tevf2z5JddimO8jvbK5/+dyV7+t0ptWrWLF+6aMgQn6EpX9e4sXdxbtgAd97p55K9ESOgUyd1aRa6gQN9lvOHHyYdiUjuKTmTWhOCj6ky89mZWoi6arvs4qsHzJ7tqwmEkHRE+WHRIi+z8J3v6P1V6PbaC5o2hTffTDoSkdxTcia1ZvhwHwt0zTVe30uq16eP1z4bPRreeCPpaPLDk096KZJirJlXbEpL4YADfAjAsmVJRyOSW0rOpFYsWeILfe+zD1xwQdLR5I+hQ2H33T2xnTEj6WjSb8QIL7PQp0/SkUguDBzoJVM0eUaKjZIzqRUXX+wJ2j33aPDutigpgbPP9okTd90FK1YkHVF6zZ8Pr77qrWbq0iwOrVtDjx7etbl5c9LRiOSOkjOpsZdfhr//HX75Sx8nItumcWM47zxYvdpnvmkFgco9/rh/QatLs7gcdJAv5TRlStKRiOSOkjOpkTVr4NxzoUsXuPLKpKPJX7vu6gV7p06FJ55IOpp0Gj4cvvEN7waW4tGnj/+A0bhMKSZKzqRGfv97mDbNu+QaNkw6mvy2335w2GHw0ktQVpZ0NOkyb553banVrPjUresTAyZO1GLoUjxiTc7MbLCZfWxm08zs0kpur29mI6Lbx5pZx2h7SzN7xcxWmdltccYo2+/9930pojPO8Kr3UnMnnghdu8KDD3pCIu6RR/xcyVlxOuwwP3/xxWTjEMmV2JIzMysFbge+CfQGTjWz3hV2OxtYGkLoCtwEXBdtXwv8Grg4rvikZjZt8iWamjeHG25IOprCUVrqFb8bN4a//tXHoRW7zZt9LN5BB0G3bklHI0lo0cJblt94A1atSjoakfjF2XK2LzAthDAjhLAeGA4Mq7DPMKB8CejHgcPNzEIIq0MIb+JJmqTQHXfA2LFw883QsmXS0RSWZs08QVu61NcWLPZZaq+8AtOn+9hGKV5HH+2rabz8ctKRiMQvzuSsHTA34/q8aFul+4QQNgLLAX3Vp9ycOXDZZb425GmnJR1NYerSxavgf/ABjBqVdDTJuusu/wFwwglJRyJJatPGJwe88gqs1c92KXB5PSHAzM4xs/FmNn7hwoVJh1MUypdoCsG73VRvKj6HHAIDBsAzz3iSVozmz4ennvJxjQ0aJB2NJO3oo+HLL7WkkxS+OJOzT4FdM663j7ZVuo+Z1QGaAVnPxwkh3B1C6B9C6N+6desahivZGDHCW3KuuQY6dkw6msJmBt/9LrRrB/fe6+tKFpu//x02bvRuXpHOnX2FiBde8PeFSKGKMzkbB3Qzs05mVg84BRhZYZ+RwBnR5ROBl0PQEtBptXgxXHihL9H0k58kHU1xqFfPC9QC3HknrF+fbDy5tHmzrzhxyCFeJV4EfDjFsmU+5lWkUMWWnEVjyC4AngMmA4+FED40s6vN7Lhot3uBlmY2Dfg58L9yG2Y2C7gRONPM5lUy01Ny7Be/8EHqf/ublmjKpdat4fvfh7lzvaREsfx8eeklX29UEwEkU+/eXrT5uee0moYUrjpxHjyEMAoYVWHblRmX1wInVXHfjnHGJtvmhRfggQfgV7+CPfdMOpris8ceMGQIPPusd+0cfHDSEcXvrrugVSv49reTjkTSxAyGDvUZ46+9tqUGmkghyesJAZIbX37prRfdu8MVVyQdTfE69lhfumjECJg5M+lo4vXFF/Cvf8GZZ0L9+klHI2mz557Qsyf8+9+qeyaFScmZbNVvfuPJwD33aMZckkpK4OyzvQ7aXXfBypVJRxSf22/3Ad8//GHSkUgamXmpmTVrPEErNiEUz/CGYhVrt6bkvwkT4MYbfbZcMXSlpV3jxj5B4LrrfOzfhRcW3vi/ZcvgL3/xumbduycdjaRVu3b+mfT66z5ppG3bpCOKx8aN8Mkn/gN5/nw/LVjgPRp168Kll/qP5jZtfBWFAQP81K2bSh3lMyVnUqUNG+AHP4Cdd/ZkQNKhQwcv/vvgg/Dkk3BSpaM289dtt8GKFT6+UaQ6xx0H48bBY4/BRRcVTjKybp3XNpw40dcwXrPGt7do4Z/H++wDTZr4Z3SPHn77rFnw8MNefxJ80sT3v++nDh0SeyqynZScSZVuvNE/HJ580tfQlPQ48EBfqeHFF6F9e9h//6Qjqh0rV8JNN/n4ur59k45G0q5JE3+vPPYYTJoEe+2VdEQ1s3y5r4Dw2mveMta4sf8f9OnjY+wqG3+ZWQNw0yaYPBnefhsefxyuvtpPgwd7+aPBgwsngS10Ss6kUh9/DFdd5TPljj8+6WikMt/5Dnz+uf9a3mUX6NQp6Yhq7s47YckSTTyR7A0a5F2bjz3mrUj5OC52/nx4/nkYM8YTrL32gkMP9a7JbRm2UFoK3/iGn374Q29Nu/deX6P3mGP8tfrTn6B//7ieidQWTQiQr9m4Ef7f/4NGjbyLSdKptNR/NTdv7l0ZS5cmHVHNfPkl/PnPcOSRPnZGJBulpb6SxuLF8OijSUezbVat8tnXV13lRXUPPBB++1tfIq9nz5qPJ+3YEX73O0/SbrvNu0r32ceHRcyeXQtPQGKj5Ey+5o9/hLIy/8Jv0ybpaKQ6TZrAj3/sC0Hn+woC99zjA51//eukI5F80727twyNGeOntNuwwVvKrrjCuzEHDoRrr/Wkaeeda//x6taF88+H6dPh8st9vdrdd/fPDM36TCclZ/IV777rv9xOPdW7zST92rXzQb+zZ/talJs3Jx3Rtlu3Dq6/3mfdHXRQ0tFIPhoyBLp29VU05s9POpqqTZ7s48CeeAK6dIErr/SWv6ZN43/spk19XeSPP4YDDvAWuqOP9tVHJF2UnMn/rF0Lp58OO+2k7sx806ePl5545x2fwJFv7rgDPvtMY81k+5WWeh3A0lIvM7NhQ9IRfdWKFT7+6+ab/fqFF/og/SRKgHTo4Mtf3XEHjB7tK5D84x+5j0OqpuRM/ufXv4YPP/TBoy1aJB2NbKsjjvABvy+84F0l+WLePG89+OY34fDDk45G8lmLFnDGGT6TOS0/UjZv9gkLv/mN/3gaMsTf77vvnmxcZt5yNmmSJ2ff+57XUFy3Ltm4xGm2pgC+yPQNN2xp5pb8YwYnn+yzHUeM8C+qfCgt8LOf+SSU227TNH+puT59fL3Nl1/2MZlDhiQXy7x53iI1Y4aPi/vud31mdZp06eI/5q64wutZTpjgZTh22y3pyIqbWs6EL77wD41evXyateSvkhIvHLzrrt61M3160hFV77//9S+CK67wBd1FasNJJ3mV/JEjYdSo3D/+unU+puyaa3ySy1lnwc9/nr7ErFydOj4R7KmnfDWCfv2821OSo+SsyG3a5M3ZK1Z4naDGjZOOSGqqfn244AIvsXHrrd7Fk0Zr1vgMsh494OKLk45GCklJiXdvDhgA//oX/Oc/uXncEHym+5VX+mzMAw7wwf8DBuRHq/C3vgXjx/sko2OO8c8PSYaSsyL3hz94l+attyY/BkJqT7Nm3l3YsKEPQP7006Qj+ro//MG7e+64o/LK5yI1UZ6g7bsvPP00PPtsvDOZ58zxnod77/VZkb/8pU+wyrcfvN26wVtv+coLF17oP/Q2bkw6quKj5KyIvfaaD1L97ne9FIMUlhYtvCulTh1P0NJUXmDyZB/f8t3v+vggkTiUlHiX4n77eRfnzTfDokW1+xiff+6TqK691rswTz8dLrvMy3rkqyZNfELFL38Jt9/uidry5UlHVVyUnBWp+fO94GHXrl5sNh+a3GXbtW7tLWgh+JqVaUjQli/3JcGaNvUVAUTiVJ6gnX661wK8+mqfPVnT4qtz58Ldd3tdyHff9ZUtfvc7LyhbUgDfrKWlXnvwnnu8d+WAA2DmzKSjKh6arVmE1q3zL8dly3yw7A47JB2RxKlNG7joIm81uP56r63UsWMysWza5K1l06f7ou1pHSAthcXMk6beveHBB30G5ZgxXvC4b9/s1+NcudLLYYwf7wPnGzTwxcQPP7xwP0d/8AOfrHPCCd4C+fTTnqhJvJScFZkQ4Nxz4e234Z//zI9SC1Jzu+4K//d/cMstcOONXs+od+/cx/HrX/vYnzvu8NUARHKpRQv/ofLGGz4b8f77fUWBvn1hzz19Ek3Tpluq9S9YsOX0ySdeWX/zZl9iadgwfw/n25iy7XHYYb7255AhviD7fff5jyyJj5KzInPjjfDAA77Q7oknJh2N5NLOO3uCduutXlPsrLN8EeRcGTHCJwGcc44nhyJJMIODD/ZWs+nTPekYP97Pq7Pzzl4Dsn9/n81YbENBunf31sYTTvAZ/p984t8jxfY65IqSsyIyapR/OZ94ohaXLlbNm8MvfuEtV3/7mxfJPO64+B/3zTc9GTzwQE8O9YEuSTPzMbddu/o6wl984SWFyk8h+JjNnXbyk2YUQ8uWXiLkvPN87N7HH/t6vg0bJh1Z4VFyViQmTvTFzPfc05vyC2HAqmyfRo28a2fECC8CO3Wqd1d06BDP4w0fDmee6cd/4gmoVy+exxHZXnXrete/bF29el4upEcPuPRSn2Tx9NPesii1R1/RReCTT7w5vlkzn05eDGMkpHp163rXxA9+4DXQ+vTxYp21KQSvkH7qqV5r6u239QEuUgjM4JJL/MfWe+/5RIEPPkg6qsKi5KzAzZ3rU7xD8AWx9etQMu2zD/zqV9Cpk1cHHzYMpkyp+XHXrvXaeVdc4QOHX3jBu0REpHB8+9telmT9eth/f29Bk9qh5KyALVjgidmyZT4zqUePpCOSNNppJ68Ifu21vgDyN77hY0q++GLbj7V+Pdx5p4/juf9+L3L80EMaryNSqPr3h3HjfG3m44/3um9xrsRQLJScFaglS7z+gc0HOwAAD61JREFUzpw58MwzPlVcpCr163tV8+nT4cc/9jElnTr5zKxHH/UB0tVZvtyTsZ494Uc/gt1280RPs7lECl+7dt6CdsYZ/j9/wgleE062nyYEFKBPP4WjjvIv2qee8injItlo3Rr+8hdfU++mm3wJlyef9EHAgwZ5t3jLln6qU8cro48b57O2APr18+VeBg9WUiZSTBo08JmbffrAxRf7OLTHHvOWeNl2Ss4KzCefeGK2ZInPxBs0KOmIJB917epJ1q23epfnE0/Ayy/D++/D4sXefQm++sA++/jkggMO8AKVSspEipMZ/PSnXhXgtNN8ItDtt3sZHdk2Ss4KyDvveIsFwKuveiuGSE2UlPiyNwMHbtkWAqxe7YP+W7VKLjYRSafDDvPyTaed5hODXn3VayuqUkD2NOasQDz9tLeSNWzoBT+VmElczKBJEyVmIlK1XXbxWdrlk4L69fMVBiQ7Ss7y3MaNXgjw+ON9Nubo0b7MhoiISJJKS32CwEsveUv7gQd6fbS1a5OOLP2UnOWxBQu8uOx11/l6hW+8Ae3bJx2ViIjIFoce6uNVv/99uP562Htvn0gkVVNylqf+8x9vJn7rLbjvPrjrLp8tIyIikjZNm8I99/h31/LlPpvznHNg4cKkI0snJWd5ZuFCnxl3zDH+Zn/rLc2EERGR/DB4MHz4IfzsZ156o3t3uO02H6IjWyg5yxMhwMMPQ+/eXjvmN7/xGlMqLisiIvmkWTO44QZfl3PvveEnP/HyGyNGaHWBckrOUi4Ebwbu3x9OPx26dPGSGVddpSVxREQkf/Xu7TM6n3zSy/accgrssYc3QBR7kqbkLKVC8NowBx/sXZhLlvjyOKNHq+KyiIgUBjOvNjBpEgwf7t99J5/sa3XecouPTytGSs5SZtUqH9zft6/PcJk+3Yv3ffyxr1tWWpp0hCIiIrWrpMSTsvff9yStRQtfbaBtWzj3XJgwwRO3YqHkLAU2bvRWsvPP9zfieef59jvvhGnTfCHpevUSDVFERCR2paWepL39Nowf75cffNCH9nTvDr/6lbeyFXqipuQsIcuWwciRcPbZvj7hoYd6SYxhw3wG5rvv+q+FRo2SjlRERCT39t7bvxc//dTLcHTsCH/8I+y1l6//e+658PjjPuyn0MS6tqaZDQZuAUqBv4UQ/ljh9vrAg8DewGLg5BDCrOi2y4CzgU3AhSGE5+KMNU4bN3oL2Hvv+Zix11/fkvk3bQrHHgvf/rYXlG3SJOloRURE0qNFC/jBD/y0YIFPIPjPf+DRR+Huu33c2h57eOta+WmPPfK79mdsyZmZlQK3A0cC84BxZjYyhPBRxm5nA0tDCF3N7BTgOuBkM+sNnALsDrQFXjSz7iGETXHFWxObNnnmvnAhzJsHs2f7adYsr+cyeTKsW+f7NmoE++/vsy0POsiXs1CXpYiIyNbttJMP/TnvPNiwwVcaePFF7wb917+8pQ08YdttN+8K7dEDOnWCdu381LatH6dRI98vjeJsOdsXmBZCmAFgZsOBYUBmcjYMuCq6/Dhwm5lZtH14CGEdMNPMpkXHezvGeKu1YgWcdhp8+eVXT0uWeBdlxf7v0lJ/E/TqBUcc4Vn8Hnv4TMu6dZN5DiIiIoWibl044AA/gX8Pz57tCduHH8Inn/hkurfe8sl2ld2/eXPYcUfvtWrQwEtUNWjgKxj85je5fT6Z4kzO2gFzM67PA/arap8QwkYzWw60jLaPqXDfdvGFunWlpfDFF55pN2vm48QaNfLm1pYtoVUrP2/f3rP1tm2hTqydxiIiIlLOzMeldewIJ530/9u79xg7yjqM498Hy60tcpWLgBQUQki4Vy6KXAQrYLQQRJEChZpAIiKooESIiSKIxBhjNFGEcrNqAAGLQQoUCYRSoJReKXeRFKrlUoFCgAI//3h/6042e/bsWTh7zs4+n2Sy73ln5t13ns5p387MOW9vfQSsWlWeXXv++fLzhRfKhZVVq8ry+utlQva33oLXXoMXX+zUURQjevgg6VTg1Hy5WtJjnexPl9kM6PDp1fWcUTrttIarnFFzzmhgzqe5IWc0wHu3bob1PJo3r0wr1WbbNVrRzsHZc8C2ldfbZF1/2yyXNAbYkPLBgMHsS0RcClz6Afa5NiTNi4iJne5HN3NGzTmj5pzRwJxPc86oudGWUTu/SuNBYEdJ20tah/KA/8w+28wEpmb5y8CdERFZf5ykdSVtD+wIPNDGvpqZmZl1hbZdOctnyL4JzKJ8lcb0iFgq6cfAvIiYCVwOXJMP/L9MGcCR211L+fDAO8Dp3fpJTTMzM7MPUlufOYuIW4Bb+tT9sFJ+Ezi273657kLgwnb2r+Z8u7c5Z9ScM2rOGQ3M+TTnjJobVRkp6j4HgpmZmdkI4umbzMzMzLqIB2cjiKTpklZKWlKp213SfZIWS7pZ0ocr63bLdUtz/XpZv3e+flLSr/KLf0e8VvKRNEXSgsrynqQ9cl0t84GWM1pb0lVZvyynVOvZ53BJj2VG53biWNqlxYzWkXRF1i+UdHBlnzqfR9tK+oekR/LvlzOzfhNJt0t6In9unPXKDJ6UtEjSXpW2pub2T0ia2uh3jiRDyGfnPL/eknR2n7Zq+V4bQkZT8txZLGmOpN0rbdUvo4jwMkIW4EBgL2BJpe5B4KAsTwMuyPIYYBGwe77eFPhQlh8A9gME/B04otPHNtz59NlvV+Cpyuta5jOEc+h4ykwdAGOBZ4AJlA/4PAXsAKwDLAR26fSxdSij04Ersrw58BCw1ig4j7YC9sryBsDjwC7AJcC5WX8u8LMsH5kZKDO5P+s3AZ7OnxtneeNOH18H8tkc+CTlOeuzK+3U9r02hIw+1XNuAEdUzqFaZuQrZyNIRNxN+VRr1U7A3Vm+HTgmy5OARRGxMPd9KSLelbQV8OGImBvlzL4aOKr9vW+/FvOp+hrwZ4A65wMtZxTAOJXvIFwfeBt4lcrUbBHxNiW7ye3u+3BpMaNdgDtzv5XAf4GJo+A8WhER87P8GrCMMovLZOCq3Owqeo95MnB1FHOBjTKjzwO3R8TLEbGKku3hw3gobdFqPhGxMiIeBNb0aaq277UhZDQnzxEoMwhtk+VaZuTB2ci3lN4T8Vh6v7x3JyAkzZI0X9L3sn5rynRYPTo+NVabNcqn6qvAn7I82vKBxhldD7wOrACeBX4eES/T/9RsozWjhcCXJI1R+U7GvXPdqDmPJE0A9gTuB7aIiBW56t/AFlludM7U/lwaZD6N1D4fGFJGX6dciYWaZuTB2cg3DfiGpIcol4bfzvoxwAHAlPx5tKRDO9PFjmqUDwCS9gXeiIgl/e08SjTKaB/gXeCjwPbAdyXt0JkudlyjjKZT/jGYB/wSmEPJbFSQNB74C3BWRLxaXZdXDEf11wE4n+ZazUjSIZTB2feHrZMdMKLn1jSIiEcptzCRtBPwhVy1HLg7Il7MdbdQnqP5A72Xg6HB1Fh1MUA+PY6j96oZlCxGTT4wYEbHA7dGxBpgpaR7gYmU/6U2nV6tThplFBHvAN/u2U7SHMqzM6uo+XkkaW3KP6ozIuKGrP6PpK0iYkXetlyZ9Y2m5HsOOLhP/V3t7PdwaTGfRgY1leFI1WpGknYDLqM8v/lSVtcyI185G+EkbZ4/1wLOB36bq2YBu0oam88MHQQ8kpeLX5W0X3567CTgrx3o+rAYIJ+euq+Qz5tBeQ6CUZQPDJjRs8Bnc904yoPcjzK4qdlqpVFG+f4al+XPAe9ERO3fZ3lMlwPLIuIXlVXVKfmm0nvMM4GT8lOb+wGvZEazgEmSNs5P5U3KuhFtCPk0Utv3WqsZSfoYcANwYkQ8Xtm+nhl1+hMJXga/UK7wrKA8NLqccmn3TMr/1B8HLia/WDi3P4HyrMwS4JJK/cSsewr4dXWfkbwMIZ+Dgbn9tFPLfFrNCBgPXJfn0CPAOZV2jsztnwLO6/RxdTCjCcBjlIeZ7wC2GyXn0QGU202LgAW5HEn5VPhs4InMY5PcXsBvMovFwMRKW9OAJ3M5pdPH1qF8tsxz7VXKh0qWUz5QUtv32hAyuoxyRbpn23mVtmqXkWcIMDMzM+sivq1pZmZm1kU8ODMzMzPrIh6cmZmZmXURD87MzMzMuogHZ2ZmZmZdxIMzMzMzsy7iwZmZ1YKk1cO5XzeR9INO98HMPjj+njMzqwVJqyNi/HDt103qcAxm1stXzsysrSTdJOkhSUslnZp1qyVdKGmhpLmStsj6CZLulLRI0uycsqVRu9tLuk/SYkk/6bPuHEkPZjs/GmQ/x+fvnJ9tTq70aZmk3+cx3CZp/Vz3CUl35HHMl/TxJu08KulKSY9LmiHpMEn3SnpC0j653ThJ0yU9IOnhyv4nS7pB0q25/SVZfzGwvqQFkmZk3XckLcnlrJb+wMys8zo9RYEXL17qvdA7/cr6lOmMNqVM2/LFrL8EOD/LNwNTszwNuGmAdmcCJ2X5dGB1licBl1KmDFoL+Btw4ADt9Ow3ht4pczajTCckyhRN7wB75LprgROyfD9wdJbXA8YOop1ds18PAdNz3eSeYwUuqrS/EWVamnHAycDTwIb5u/4FbFs9hizvTZkiaRxlCq6lwJ6dPg+8ePEy+MVXzsys3b4laSEwF9gW2BF4mzJogjJImZDl/YE/Zvkayvx7jXyaMg9mz7Y9JuXyMDAf2Dl/ZzMCLpK0iDKn39bAFrnunxGxoNpfSRsAW0fEjQAR8WZEvDGIdhZHxHuUQdPsiAjKYKong0nAuZIWAHdRBmI9VxBnR8QrEfEmZb7T7fo5jgOAGyPi9YhYTZks+jODOH4z6xJjOt0BM6svSQcDhwH7R8Qbku6iDDbW5KAE4F2G/ndRfw/NCvhpRPyuxbamAB8B9o6INZKeyb4CvFXZ7l3KVcD32857ldfv0ZuBgGMi4rFqo5L27acf/jvcrIZ85czM2mlDYFUOzHYG9muy/RzguCxPAe4ZYNt7+2zbYxYwTdJ4AElbS9p8kH1dmQOqQ+j/qtT/RcRrwHJJR+XvWVfS2Fbb6ccs4AxJynb3HMQ+ayStneV7gKMkjZU0DjiagXM0sy7jwZmZtdOtwBhJy4CLKbc2B3IGcEreEjwROHOAbc8ETpe0mHLrEICIuI1ya/S+XHc9sMEg+joDmJj7nAQ8Ooh9TqTctl1EGVhuOcR2qi4A1gYWSVqar5u5NLefERHzgSuBByjPxF0WEQ+32Acz6yB/lYaZmZlZF/GVMzMzM7Mu4odJzayrSToPOLZP9XURcWELbWwKzO5n1aER8dL76Z+Z2QfNtzXNzMzMuohva5qZmZl1EQ/OzMzMzLqIB2dmZmZmXcSDMzMzM7Mu4sGZmZmZWRf5H49kXVBvGx4gAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hmdmiF0VkvYd",
        "colab_type": "text"
      },
      "source": [
        "Conclusão:\n",
        "\n",
        "Os filmes de western tiveram sua primeira ascensão dos anos 60 até o fim dos anos 70,isso se explica pois a grande onda nacionalista do país(Em que os americanos são heróis que desbravaram o oeste) começou a decair devido ao fim da guerra do Vietnã, em que o surgimento de movimentos contrários a essa visão(como o movimento hippie) cresceram, gerando assim a sua grande queda.\n",
        "\n",
        "Apartir dos anos 90 os filmes em geral nesse dado aumenta devido ao grande crescimento do cinema hollywoodiano."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vy25aYMEqSBY",
        "colab_type": "text"
      },
      "source": [
        "### 2º Visualização: Quais gêneros estão mais relacionados entre si?\n",
        "Quantos filmes de ação são também filmes de aventura? E para os filmes de drama?\n",
        "A maioria dos filmes de Animação são também para crianças? Dúvidas como essa me vieram quando observei que se somar os valores da séria filmes_por_gênero, dá um valor maior q a quantidades de filmes.\n",
        "\n",
        "Portanto farei uma correlação entre esses gêneros para entender como gêneros estão distribuidos entre eles."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hnMvmBIpC8Bh",
        "colab_type": "code",
        "outputId": "c9dd2462-1e07-4044-e675-6cd5b79c4f20",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        }
      },
      "source": [
        "filmes_por_genero# Observando os gêneros estudados."
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Comedy         181\n",
              "Drama          166\n",
              "Action         164\n",
              "Adventure      132\n",
              "Thriller       121\n",
              "SciFi           92\n",
              "Crime           87\n",
              "Romance         85\n",
              "Fantasy         66\n",
              "Children        47\n",
              "Mystery         38\n",
              "Animation       32\n",
              "IMAX            28\n",
              "Horror          26\n",
              "Musical         21\n",
              "War             19\n",
              "Western         12\n",
              "FilmNoir         4\n",
              "Documentary      2\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wICR3a9d8nDi",
        "colab_type": "text"
      },
      "source": [
        "Como os gêneros Noir e documentario têm menos de 10 filmes, não tem como eu ter conclusões precisas para eles. Portanto os descartarei na minha análise.\n",
        "Além disso IMAX não é um gênero e sim um formato de resolução do filme, logo o descarterei também.\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ry2sem1mVyuN",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "generos_n = ['Comedy','Drama','Action','Adventure','Thriller','SciFi','Crime','Romance','Fantasy','Children','Mystery','Animation','Horror','Musical','War','Western']\n",
        "#Criando uma lista com os gêneros que estudarei"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wXfl579iooyx",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 545
        },
        "outputId": "b035ce6f-6c4d-4d3a-a39e-005fc0ddb401"
      },
      "source": [
        "porcentagem_por_genero = pd.DataFrame(index=generos_n)#Criando um dataframe com os index na ordem dos gêneros_n.\n",
        "for coluna in generos_n:#Um primeiro for para adicionar a coluna no dataframe porcentagem_por_genero.\n",
        "  x=[]#Criando uma lista vazia para adicionar a correlação entre gêneros\n",
        "  for genero in generos_n:#For para adicionar os dados no x.\n",
        "    # Como exemplo o cálculo é:\n",
        "    # filmes de gênero 1(conta-se quantos filmeId tem no dataframe) = y.\n",
        "    # filmes de gênero 1 e 2 = z.\n",
        "    # relação entre os gêneros(em %) = (z/y) * 100.\n",
        "    x.append(round(filmes.query(f'{coluna} == 1 & {genero} == 1').shape[0]/filmes.query(f'{coluna} == 1').shape[0],3)*100)\n",
        "  porcentagem_por_genero[f'{coluna}'] = x # Adicionando a coluna.\n",
        "porcentagem_por_genero #Mostrando tabela."
      ],
      "execution_count": 53,
      "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>Comedy</th>\n",
              "      <th>Drama</th>\n",
              "      <th>Action</th>\n",
              "      <th>Adventure</th>\n",
              "      <th>Thriller</th>\n",
              "      <th>SciFi</th>\n",
              "      <th>Crime</th>\n",
              "      <th>Romance</th>\n",
              "      <th>Fantasy</th>\n",
              "      <th>Children</th>\n",
              "      <th>Mystery</th>\n",
              "      <th>Animation</th>\n",
              "      <th>Horror</th>\n",
              "      <th>Musical</th>\n",
              "      <th>War</th>\n",
              "      <th>Western</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Comedy</th>\n",
              "      <td>100.0</td>\n",
              "      <td>21.7</td>\n",
              "      <td>21.3</td>\n",
              "      <td>33.3</td>\n",
              "      <td>10.7</td>\n",
              "      <td>19.6</td>\n",
              "      <td>27.6</td>\n",
              "      <td>63.5</td>\n",
              "      <td>51.5</td>\n",
              "      <td>57.4</td>\n",
              "      <td>7.9</td>\n",
              "      <td>62.5</td>\n",
              "      <td>34.6</td>\n",
              "      <td>52.4</td>\n",
              "      <td>21.1</td>\n",
              "      <td>41.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Drama</th>\n",
              "      <td>19.9</td>\n",
              "      <td>100.0</td>\n",
              "      <td>20.7</td>\n",
              "      <td>15.2</td>\n",
              "      <td>33.9</td>\n",
              "      <td>21.7</td>\n",
              "      <td>46.0</td>\n",
              "      <td>43.5</td>\n",
              "      <td>22.7</td>\n",
              "      <td>19.1</td>\n",
              "      <td>39.5</td>\n",
              "      <td>15.6</td>\n",
              "      <td>15.4</td>\n",
              "      <td>19.0</td>\n",
              "      <td>84.2</td>\n",
              "      <td>33.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Action</th>\n",
              "      <td>19.3</td>\n",
              "      <td>20.5</td>\n",
              "      <td>100.0</td>\n",
              "      <td>61.4</td>\n",
              "      <td>61.2</td>\n",
              "      <td>67.4</td>\n",
              "      <td>42.5</td>\n",
              "      <td>16.5</td>\n",
              "      <td>22.7</td>\n",
              "      <td>6.4</td>\n",
              "      <td>26.3</td>\n",
              "      <td>6.2</td>\n",
              "      <td>34.6</td>\n",
              "      <td>4.8</td>\n",
              "      <td>52.6</td>\n",
              "      <td>50.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Adventure</th>\n",
              "      <td>24.3</td>\n",
              "      <td>12.0</td>\n",
              "      <td>49.4</td>\n",
              "      <td>100.0</td>\n",
              "      <td>28.9</td>\n",
              "      <td>54.3</td>\n",
              "      <td>6.9</td>\n",
              "      <td>12.9</td>\n",
              "      <td>56.1</td>\n",
              "      <td>53.2</td>\n",
              "      <td>15.8</td>\n",
              "      <td>56.2</td>\n",
              "      <td>11.5</td>\n",
              "      <td>19.0</td>\n",
              "      <td>10.5</td>\n",
              "      <td>41.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Thriller</th>\n",
              "      <td>7.2</td>\n",
              "      <td>24.7</td>\n",
              "      <td>45.1</td>\n",
              "      <td>26.5</td>\n",
              "      <td>100.0</td>\n",
              "      <td>39.1</td>\n",
              "      <td>49.4</td>\n",
              "      <td>8.2</td>\n",
              "      <td>7.6</td>\n",
              "      <td>0.0</td>\n",
              "      <td>73.7</td>\n",
              "      <td>0.0</td>\n",
              "      <td>38.5</td>\n",
              "      <td>0.0</td>\n",
              "      <td>15.8</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>SciFi</th>\n",
              "      <td>9.9</td>\n",
              "      <td>12.0</td>\n",
              "      <td>37.8</td>\n",
              "      <td>37.9</td>\n",
              "      <td>29.8</td>\n",
              "      <td>100.0</td>\n",
              "      <td>5.7</td>\n",
              "      <td>4.7</td>\n",
              "      <td>6.1</td>\n",
              "      <td>8.5</td>\n",
              "      <td>18.4</td>\n",
              "      <td>6.2</td>\n",
              "      <td>23.1</td>\n",
              "      <td>4.8</td>\n",
              "      <td>0.0</td>\n",
              "      <td>16.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Crime</th>\n",
              "      <td>13.3</td>\n",
              "      <td>24.1</td>\n",
              "      <td>22.6</td>\n",
              "      <td>4.5</td>\n",
              "      <td>35.5</td>\n",
              "      <td>5.4</td>\n",
              "      <td>100.0</td>\n",
              "      <td>2.4</td>\n",
              "      <td>4.5</td>\n",
              "      <td>4.3</td>\n",
              "      <td>34.2</td>\n",
              "      <td>6.2</td>\n",
              "      <td>11.5</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5.3</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Romance</th>\n",
              "      <td>29.8</td>\n",
              "      <td>22.3</td>\n",
              "      <td>8.5</td>\n",
              "      <td>8.3</td>\n",
              "      <td>5.8</td>\n",
              "      <td>4.3</td>\n",
              "      <td>2.3</td>\n",
              "      <td>100.0</td>\n",
              "      <td>21.2</td>\n",
              "      <td>17.0</td>\n",
              "      <td>10.5</td>\n",
              "      <td>21.9</td>\n",
              "      <td>3.8</td>\n",
              "      <td>33.3</td>\n",
              "      <td>15.8</td>\n",
              "      <td>16.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Fantasy</th>\n",
              "      <td>18.8</td>\n",
              "      <td>9.0</td>\n",
              "      <td>9.1</td>\n",
              "      <td>28.0</td>\n",
              "      <td>4.1</td>\n",
              "      <td>4.3</td>\n",
              "      <td>3.4</td>\n",
              "      <td>16.5</td>\n",
              "      <td>100.0</td>\n",
              "      <td>53.2</td>\n",
              "      <td>10.5</td>\n",
              "      <td>43.8</td>\n",
              "      <td>11.5</td>\n",
              "      <td>38.1</td>\n",
              "      <td>5.3</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Children</th>\n",
              "      <td>14.9</td>\n",
              "      <td>5.4</td>\n",
              "      <td>1.8</td>\n",
              "      <td>18.9</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.3</td>\n",
              "      <td>2.3</td>\n",
              "      <td>9.4</td>\n",
              "      <td>37.9</td>\n",
              "      <td>100.0</td>\n",
              "      <td>2.6</td>\n",
              "      <td>93.8</td>\n",
              "      <td>0.0</td>\n",
              "      <td>66.7</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mystery</th>\n",
              "      <td>1.7</td>\n",
              "      <td>9.0</td>\n",
              "      <td>6.1</td>\n",
              "      <td>4.5</td>\n",
              "      <td>23.1</td>\n",
              "      <td>7.6</td>\n",
              "      <td>14.9</td>\n",
              "      <td>4.7</td>\n",
              "      <td>6.1</td>\n",
              "      <td>2.1</td>\n",
              "      <td>100.0</td>\n",
              "      <td>3.1</td>\n",
              "      <td>23.1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Animation</th>\n",
              "      <td>11.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.2</td>\n",
              "      <td>13.6</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.2</td>\n",
              "      <td>2.3</td>\n",
              "      <td>8.2</td>\n",
              "      <td>21.2</td>\n",
              "      <td>63.8</td>\n",
              "      <td>2.6</td>\n",
              "      <td>100.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>57.1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Horror</th>\n",
              "      <td>5.0</td>\n",
              "      <td>2.4</td>\n",
              "      <td>5.5</td>\n",
              "      <td>2.3</td>\n",
              "      <td>8.3</td>\n",
              "      <td>6.5</td>\n",
              "      <td>3.4</td>\n",
              "      <td>1.2</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.0</td>\n",
              "      <td>15.8</td>\n",
              "      <td>0.0</td>\n",
              "      <td>100.0</td>\n",
              "      <td>4.8</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Musical</th>\n",
              "      <td>6.1</td>\n",
              "      <td>2.4</td>\n",
              "      <td>0.6</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>8.2</td>\n",
              "      <td>12.1</td>\n",
              "      <td>29.8</td>\n",
              "      <td>0.0</td>\n",
              "      <td>37.5</td>\n",
              "      <td>3.8</td>\n",
              "      <td>100.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>War</th>\n",
              "      <td>2.2</td>\n",
              "      <td>9.6</td>\n",
              "      <td>6.1</td>\n",
              "      <td>1.5</td>\n",
              "      <td>2.5</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.1</td>\n",
              "      <td>3.5</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>100.0</td>\n",
              "      <td>8.3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Western</th>\n",
              "      <td>2.8</td>\n",
              "      <td>2.4</td>\n",
              "      <td>3.7</td>\n",
              "      <td>3.8</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.4</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5.3</td>\n",
              "      <td>100.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           Comedy  Drama  Action  Adventure  ...  Horror  Musical    War  Western\n",
              "Comedy      100.0   21.7    21.3       33.3  ...    34.6     52.4   21.1     41.7\n",
              "Drama        19.9  100.0    20.7       15.2  ...    15.4     19.0   84.2     33.3\n",
              "Action       19.3   20.5   100.0       61.4  ...    34.6      4.8   52.6     50.0\n",
              "Adventure    24.3   12.0    49.4      100.0  ...    11.5     19.0   10.5     41.7\n",
              "Thriller      7.2   24.7    45.1       26.5  ...    38.5      0.0   15.8      0.0\n",
              "SciFi         9.9   12.0    37.8       37.9  ...    23.1      4.8    0.0     16.7\n",
              "Crime        13.3   24.1    22.6        4.5  ...    11.5      0.0    5.3      0.0\n",
              "Romance      29.8   22.3     8.5        8.3  ...     3.8     33.3   15.8     16.7\n",
              "Fantasy      18.8    9.0     9.1       28.0  ...    11.5     38.1    5.3      0.0\n",
              "Children     14.9    5.4     1.8       18.9  ...     0.0     66.7    0.0      0.0\n",
              "Mystery       1.7    9.0     6.1        4.5  ...    23.1      0.0    0.0      0.0\n",
              "Animation    11.0    3.0     1.2       13.6  ...     0.0     57.1    0.0      0.0\n",
              "Horror        5.0    2.4     5.5        2.3  ...   100.0      4.8    0.0      0.0\n",
              "Musical       6.1    2.4     0.6        3.0  ...     3.8    100.0    0.0      0.0\n",
              "War           2.2    9.6     6.1        1.5  ...     0.0      0.0  100.0      8.3\n",
              "Western       2.8    2.4     3.7        3.8  ...     0.0      0.0    5.3    100.0\n",
              "\n",
              "[16 rows x 16 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VDZHtzDGXy0C",
        "colab_type": "text"
      },
      "source": [
        "Percebe-se que é difícil indentificar por exemplo, quais gêneros estão mais relacionados ao gênero ação. Portanto realizei um heatmap(do seaborn) para ficar mais claro essa indentificação \"colorindo\" o mesmo\n",
        "\n",
        "Biblioteca do heatmap: https://seaborn.pydata.org/generated/seaborn.heatmap.html"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vrOj8ve_aJ3g",
        "colab_type": "text"
      },
      "source": [
        "ATENÇÂO: O gráfico deve ser lido pelas colunas, exemplo:\n",
        "Na coluna Action observa-se que 49% dos filmes de ação são também de aventura.\n",
        "\n",
        "Além disso se somar as porcentagens de cada coluna terá soma maior que 100, já que há filmes com mais de 2 gêneros relacionados."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_iiE3JyjZdUG",
        "colab_type": "text"
      },
      "source": [
        "Apesar da pequena dificuldade de entender o heatmap, as correlações estão bem mais indentificáveis."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kf7oiHR7lhZZ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 377
        },
        "outputId": "b487f9c2-dffd-4b87-9be7-ef89acb95ce4"
      },
      "source": [
        "plt.figure(figsize=(10,5)) #\n",
        "sns.heatmap(porcentagem_por_genero, annot=True,vmin=0,vmax=100)\n",
        "plt.title('% dos filmes do gênero da coluna são também do gênero da linha')\n",
        "plt.show()"
      ],
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "J49XP5y_cYVU",
        "colab_type": "text"
      },
      "source": [
        "#### Conclusão:\n",
        "Com o heatmap tira-se diversar conclusões sobre os gênero como:\n",
        "- Os filmes de comédia tem uma boa correlação com outros gêneros, observando a linha \"Comedy\" se vê que a maioria dos gêneros têm comédia em seus filmes(Com excessão dos filmes de thriller).\n",
        "- Assim como os filmes de comédia, o drama se correlaciona com vários outros gêneros, tal que a maior correlação são para filmes de crime,thriller e comédia(cerca de 23%).\n",
        "- Ação e Aventura: Ao contrário dos outros dois, a correlação entre ação e aventura é grande, 2 a cada 3 filmes de aventura são também de ação!O mesmo ocorre observando os filmes de thriller.\n",
        "- Suspense e mistério: 74% dos filmes de mistério são também de suspense,mostrando que são gêneros com carecterísticas bem próximas.\n",
        "- \"Surpreendentemente\" quase todos os filmes de animação(94%) são direcionados para crianças.\n",
        "\n",
        "Outras pequenas conclusões podem ser tiradas, no entanto essas são as mais claras ao observar o heatmap."
      ]
    }
  ]
}