App_Store.ipynb

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  "metadata": {
    "colab": {
      "name": "App_Store.ipynb",
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      "collapsed_sections": [],
      "mount_file_id": "1t7WkAlLi_V17xZMm2O0M9NZ57pnpYufr",
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      "name": "python3",
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/karinnecristina/Data-Science/blob/master/App_Store.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aq6WvQjWFQ3q",
        "colab_type": "text"
      },
      "source": [
        "#**Análise dos dados da App Store**\n",
        "\n",
        "\n",
        "\n",
        "![alt text](https://drive.google.com/uc?id=1UNqJJtYouDUav2_ZsjrVVilelsHs39Ow)\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g0IPMLAQPgQl",
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      "source": [
        "> A App Store é um serviço de distribuição digital de aplicativos desenvolvido e operado pela Apple Inc. Ela é a loja oficial de aplicativos para o sistema operacional iOS, da Apple. A loja permite que os usuários naveguem e baixem aplicativos desenvolvidos com o kit de desenvolvimento de software para iOS. \n",
        "\n",
        "Fonte: https://pt.wikipedia.org/wiki/App_Store_(iOS)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m4FM5u0eRhiO",
        "colab_type": "text"
      },
      "source": [
        "##**Objetivo**\n",
        "\n",
        "Os dados dos aplicativos da App Store têm um enorme potencial para levar as empresas que desenvolvem essas aplicações ao sucesso.O objetivo deste projeto é analisar esses dados com o intuito de ajudar os desenvolvedores a entender que tipo de aplicativo provavelmente atrairá mais usuários.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IsG7LSeySWZG",
        "colab_type": "text"
      },
      "source": [
        " ### **Obtenção dos Dados**\n",
        "\n",
        "Os dados usados nessa análise são referentes ao ano de 2017 e foram obtidos a partir do site [Kaggle.com](https://www.kaggle.com/ramamet4/app-store-apple-data-set-10k-apps)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Bebl4ypjPYlk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Importando os pacotes necessários\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from wordcloud import WordCloud"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eqJhTyulMIgz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Lendo o arquivo:\n",
        "df_app = pd.read_csv('/content/drive/My Drive/Curso_Dataquest/AppleStore.csv')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Q1BtWFN6WECG",
        "colab_type": "text"
      },
      "source": [
        " ### **Análise dos Dados**\n",
        "\n",
        "Esta etapa tem por objetivo criar uma consciência situacional inicial e permitir um entendimento de como os dados estão estruturados."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "1diVzypO1iab"
      },
      "source": [
        "<Enter>\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xo1MEbNtcJ8o",
        "colab_type": "text"
      },
      "source": [
        "**Dicionário das variáveis**\n",
        "\n",
        "* **id** : ID do aplicativo\n",
        "* **track_name** : Nome do aplicativo\n",
        "* **size_bytes** : Tamanho (em bytes)\n",
        "* **currency** : Tipo de moeda\n",
        "* **price** : Preço\n",
        "* **rating_count_tot** : Contagens de Classificação do usuário (para todas as versões)\n",
        "* **rating_count_ver** : Contagens de classificação do usuário (para versão atual)\n",
        "* **user_rating** : Valor médio da classificação do usuário (para todas as versões)\n",
        "* **user_rating_ver** : Valor médio da classificação do usuário (para a versão atual)\n",
        "* **ver** : Código da versão mais recente\n",
        "* **cont_rating** : Classificação do conteúdo\n",
        "* **prime_genre** : Gênero principal\n",
        "* **sup_devices.num** : Número de dispositivos de suporte\n",
        "* **ipadSc_urls.num** : Número de capturas de tela exibidas para exibição\n",
        "* **lang.num** : Número de idiomas suportados\n",
        "* **vpp_lic** : Licenciamento baseado em dispositivo Vpp ativado"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "II-kMx_BezxX",
        "colab_type": "text"
      },
      "source": [
        "Vamos dar uma olhada nas primeiras linhas do Dataframe."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N651pCxDTuUr",
        "colab_type": "code",
        "outputId": "4283d47d-9b9b-4abf-bfc5-18a2287cb165",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "# Primeiras 5 linhas:\n",
        "df_app.head()"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>track_name</th>\n",
              "      <th>size_bytes</th>\n",
              "      <th>currency</th>\n",
              "      <th>price</th>\n",
              "      <th>rating_count_tot</th>\n",
              "      <th>rating_count_ver</th>\n",
              "      <th>user_rating</th>\n",
              "      <th>user_rating_ver</th>\n",
              "      <th>ver</th>\n",
              "      <th>cont_rating</th>\n",
              "      <th>prime_genre</th>\n",
              "      <th>sup_devices.num</th>\n",
              "      <th>ipadSc_urls.num</th>\n",
              "      <th>lang.num</th>\n",
              "      <th>vpp_lic</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>284882215</td>\n",
              "      <td>Facebook</td>\n",
              "      <td>389879808</td>\n",
              "      <td>USD</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2974676</td>\n",
              "      <td>212</td>\n",
              "      <td>3.5</td>\n",
              "      <td>3.5</td>\n",
              "      <td>95.0</td>\n",
              "      <td>4+</td>\n",
              "      <td>Social Networking</td>\n",
              "      <td>37</td>\n",
              "      <td>1</td>\n",
              "      <td>29</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>389801252</td>\n",
              "      <td>Instagram</td>\n",
              "      <td>113954816</td>\n",
              "      <td>USD</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2161558</td>\n",
              "      <td>1289</td>\n",
              "      <td>4.5</td>\n",
              "      <td>4.0</td>\n",
              "      <td>10.23</td>\n",
              "      <td>12+</td>\n",
              "      <td>Photo &amp; Video</td>\n",
              "      <td>37</td>\n",
              "      <td>0</td>\n",
              "      <td>29</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>529479190</td>\n",
              "      <td>Clash of Clans</td>\n",
              "      <td>116476928</td>\n",
              "      <td>USD</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2130805</td>\n",
              "      <td>579</td>\n",
              "      <td>4.5</td>\n",
              "      <td>4.5</td>\n",
              "      <td>9.24.12</td>\n",
              "      <td>9+</td>\n",
              "      <td>Games</td>\n",
              "      <td>38</td>\n",
              "      <td>5</td>\n",
              "      <td>18</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>420009108</td>\n",
              "      <td>Temple Run</td>\n",
              "      <td>65921024</td>\n",
              "      <td>USD</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1724546</td>\n",
              "      <td>3842</td>\n",
              "      <td>4.5</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.6.2</td>\n",
              "      <td>9+</td>\n",
              "      <td>Games</td>\n",
              "      <td>40</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>284035177</td>\n",
              "      <td>Pandora - Music &amp; Radio</td>\n",
              "      <td>130242560</td>\n",
              "      <td>USD</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1126879</td>\n",
              "      <td>3594</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.5</td>\n",
              "      <td>8.4.1</td>\n",
              "      <td>12+</td>\n",
              "      <td>Music</td>\n",
              "      <td>37</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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            ],
            "text/plain": [
              "          id               track_name  ...  lang.num vpp_lic\n",
              "0  284882215                 Facebook  ...        29       1\n",
              "1  389801252                Instagram  ...        29       1\n",
              "2  529479190           Clash of Clans  ...        18       1\n",
              "3  420009108               Temple Run  ...         1       1\n",
              "4  284035177  Pandora - Music & Radio  ...         1       1\n",
              "\n",
              "[5 rows x 16 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BqTSheRTELDs",
        "colab_type": "text"
      },
      "source": [
        "###**Quantos linhas e quantas colunas o nosso conjunto de dados possui? Quais os tipos das variáveis?**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DLaxvR0VEcB2",
        "colab_type": "code",
        "outputId": "2c04e19a-7f1f-41a5-dd7a-b8136e6794c8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        }
      },
      "source": [
        "# Tamanho do Dataframe:\n",
        "print(f'Número de linhas: {len(df_app.index)}')\n",
        "print(f'Número de colunas: {len(df_app.columns)}\\n')\n",
        "\n",
        "# Identificando o tipo de cada variável:\n",
        "display(df_app.dtypes)"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Número de linhas: 7197\n",
            "Número de colunas: 16\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "id                    int64\n",
              "track_name           object\n",
              "size_bytes            int64\n",
              "currency             object\n",
              "price               float64\n",
              "rating_count_tot      int64\n",
              "rating_count_ver      int64\n",
              "user_rating         float64\n",
              "user_rating_ver     float64\n",
              "ver                  object\n",
              "cont_rating          object\n",
              "prime_genre          object\n",
              "sup_devices.num       int64\n",
              "ipadSc_urls.num       int64\n",
              "lang.num              int64\n",
              "vpp_lic               int64\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pTCcchjBCb8m",
        "colab_type": "text"
      },
      "source": [
        "#**Limpeza e transformação dos dados**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "v9vkmZZJRvT4",
        "colab_type": "text"
      },
      "source": [
        "Precisamos garantir que os dados que estamos analisando sejam precisos, caso contrário, os resultados de nossa análise estarão errados."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HastMHr0vsx2",
        "colab_type": "text"
      },
      "source": [
        "Vou iniciar a análise verificando se há registos duplicados no Dataframe, pois não nos interessa analisar o mesmo aplicativo mais de uma vez."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I3j3DLpwiztF",
        "colab_type": "code",
        "outputId": "89360443-f8b8-41b2-92be-59038c978bcf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "# Verificando valores duplicados:\n",
        "if any(df_app.track_name.duplicated()) is True:\n",
        "   print(f'Existe valores duplicados na coluna \"App\"? {True}')\n",
        "else:\n",
        "   print(f'Existe valores duplicados na coluna \"App\"? {False}')"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Existe valores duplicados na coluna \"App\"? True\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TvXL33nRMUdO",
        "colab_type": "text"
      },
      "source": [
        "Bom, infelizmente temos registros duplicados, portanto, precisamos remover essas entradas duplicadas e manter apenas uma entrada por aplicativo. Uma coisa que poderíamos fazer é remover as linhas duplicadas aleatoriamente, mas vamos encontrar uma maneira melhor."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "J9aTYnOvwV87",
        "colab_type": "text"
      },
      "source": [
        "Quanto maior o número de \"rating_count_tot\", mais recentes devem ser os dados. Em vez de remover duplicatas aleatoriamente, manteremos apenas a linha com o maior número de avaliações e removeremos as outras entradas."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UiDVYGJ1NEyG",
        "colab_type": "text"
      },
      "source": [
        "Não sabemos a ordem dos registros e se não ordenarmos podemos correr o risco de eliminar um aplicativo que tem uma avaliação alta."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ixwdFvTWVV0-",
        "colab_type": "text"
      },
      "source": [
        "Agora vou remover os valores duplicados mantendo os registros que tem a avaliação mais alta."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eMDxULD4pbEe",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Removendo os aplicativos duplicados:\n",
        "df_app = df_app.sort_values(by='rating_count_tot', ascending=False).drop_duplicates('track_name', keep='first')\n",
        "\n",
        "# Reorganizando os indices:\n",
        "df_app = df_app.reset_index(drop=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Psgq8OUQ2fC3",
        "colab_type": "code",
        "outputId": "d574b187-e565-4e73-87db-4e94a4500375",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "df_app.head()"
      ],
      "execution_count": 7,
      "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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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>track_name</th>\n",
              "      <th>size_bytes</th>\n",
              "      <th>currency</th>\n",
              "      <th>price</th>\n",
              "      <th>rating_count_tot</th>\n",
              "      <th>rating_count_ver</th>\n",
              "      <th>user_rating</th>\n",
              "      <th>user_rating_ver</th>\n",
              "      <th>ver</th>\n",
              "      <th>cont_rating</th>\n",
              "      <th>prime_genre</th>\n",
              "      <th>sup_devices.num</th>\n",
              "      <th>ipadSc_urls.num</th>\n",
              "      <th>lang.num</th>\n",
              "      <th>vpp_lic</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>284882215</td>\n",
              "      <td>Facebook</td>\n",
              "      <td>389879808</td>\n",
              "      <td>USD</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2974676</td>\n",
              "      <td>212</td>\n",
              "      <td>3.5</td>\n",
              "      <td>3.5</td>\n",
              "      <td>95.0</td>\n",
              "      <td>4+</td>\n",
              "      <td>Social Networking</td>\n",
              "      <td>37</td>\n",
              "      <td>1</td>\n",
              "      <td>29</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>389801252</td>\n",
              "      <td>Instagram</td>\n",
              "      <td>113954816</td>\n",
              "      <td>USD</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2161558</td>\n",
              "      <td>1289</td>\n",
              "      <td>4.5</td>\n",
              "      <td>4.0</td>\n",
              "      <td>10.23</td>\n",
              "      <td>12+</td>\n",
              "      <td>Photo &amp; Video</td>\n",
              "      <td>37</td>\n",
              "      <td>0</td>\n",
              "      <td>29</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>529479190</td>\n",
              "      <td>Clash of Clans</td>\n",
              "      <td>116476928</td>\n",
              "      <td>USD</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2130805</td>\n",
              "      <td>579</td>\n",
              "      <td>4.5</td>\n",
              "      <td>4.5</td>\n",
              "      <td>9.24.12</td>\n",
              "      <td>9+</td>\n",
              "      <td>Games</td>\n",
              "      <td>38</td>\n",
              "      <td>5</td>\n",
              "      <td>18</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>420009108</td>\n",
              "      <td>Temple Run</td>\n",
              "      <td>65921024</td>\n",
              "      <td>USD</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1724546</td>\n",
              "      <td>3842</td>\n",
              "      <td>4.5</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.6.2</td>\n",
              "      <td>9+</td>\n",
              "      <td>Games</td>\n",
              "      <td>40</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>284035177</td>\n",
              "      <td>Pandora - Music &amp; Radio</td>\n",
              "      <td>130242560</td>\n",
              "      <td>USD</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1126879</td>\n",
              "      <td>3594</td>\n",
              "      <td>4.0</td>\n",
              "      <td>4.5</td>\n",
              "      <td>8.4.1</td>\n",
              "      <td>12+</td>\n",
              "      <td>Music</td>\n",
              "      <td>37</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          id               track_name  ...  lang.num vpp_lic\n",
              "0  284882215                 Facebook  ...        29       1\n",
              "1  389801252                Instagram  ...        29       1\n",
              "2  529479190           Clash of Clans  ...        18       1\n",
              "3  420009108               Temple Run  ...         1       1\n",
              "4  284035177  Pandora - Music & Radio  ...         1       1\n",
              "\n",
              "[5 rows x 16 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uYEWLDx0gdfj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Dropando as colunas irrelevantes:\n",
        "def remove_features(lista_features):\n",
        "    ''' Função que remove as colunas irrelevantes '''\n",
        "    for i in lista_features:\n",
        "        df_app.drop(i,axis=1,inplace=True)\n",
        "remove_features(['id','currency','ver','sup_devices.num','ipadSc_urls.num','vpp_lic'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AFUCfEsNKcrm",
        "colab_type": "text"
      },
      "source": [
        "###**Qual a porcentagem de valores ausentes no dataset?**\n",
        "\n",
        "Vamos analisar se a quantidade de valores nulos são siginificativos comparados ao total de entradas.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0Go4eMNYgPv7",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Visualizando os valores faltantes:\n",
        "def missing_value(dataset):\n",
        "  ''' Função que mostra a porcentagem e o total de valores faltantes de cada coluna, ordenando do maior para o menor '''\n",
        "  total = dataset.isnull().sum().sort_values(ascending=False)\n",
        "  percent = dataset.isnull().sum()/dataset.isnull().count().sort_values(ascending=False)\n",
        "  missing_data = pd.concat([total, percent], axis=1, sort=False, keys=['total', 'percent'])\n",
        "  missing_data[missing_data['percent']!=0]\n",
        "  return missing_data"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pVRBDxjohq3q",
        "colab_type": "code",
        "outputId": "331af0cb-ec94-4f4e-fac9-832e97b6c5d7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        }
      },
      "source": [
        "missing_value(df_app)"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>total</th>\n",
              "      <th>percent</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>lang.num</th>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>prime_genre</th>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>cont_rating</th>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>user_rating_ver</th>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>user_rating</th>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>rating_count_ver</th>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>rating_count_tot</th>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>price</th>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>size_bytes</th>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>track_name</th>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                  total  percent\n",
              "lang.num              0      0.0\n",
              "prime_genre           0      0.0\n",
              "cont_rating           0      0.0\n",
              "user_rating_ver       0      0.0\n",
              "user_rating           0      0.0\n",
              "rating_count_ver      0      0.0\n",
              "rating_count_tot      0      0.0\n",
              "price                 0      0.0\n",
              "size_bytes            0      0.0\n",
              "track_name            0      0.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Yg5eM0d2f7eZ",
        "colab_type": "text"
      },
      "source": [
        "A coluna **\"user_rating\"** representa a classificação que o úsuario deu para o aplicativo, vamos entender melhor como essa classificação é feita.\n",
        "\n",
        "## **O que é classificar um app?**\n",
        "\n",
        "Classificar um app significa deixar a sua nota de avaliação na página de dowloand do aplicativo com ou sem comentário, a base não possui uma coluna com os comentários.\n",
        "\n",
        "Não é obrigatório deixar uma classificação para o app mas isso ajuda e motiva os desenvolvedores.\n",
        "\n",
        "## **Como essa classificação é feita?**\n",
        "\n",
        "Basta clicar nas estrelas que você pretende deixar.\n",
        "\n",
        "![alt text](https://drive.google.com/uc?id=1fHAWp-jS0dIZiQ2IgNNPYtHUXA52a8gV)\n",
        "\n",
        "##★☆☆☆☆ – Avaliação muito fraca\n",
        "O usuário não gostou da aplicação, contêm um número exagerado de propagandas e a aplicação não foi bem desenvolvida.\n",
        "\n",
        "##★★☆☆☆ – Avaliação fraca\n",
        "Ainda que seja uma avaliação fraca, o usuário pode ter gostado de alguma funcionalidade do app.\n",
        "\n",
        "##★★★☆☆ – Avaliação razoável\n",
        "O usuário considera que esse aplicativo cumpriu com a sua finalidade, mas precisa melhorar em alguns aspectos, como no desing por exemplo.\n",
        "\n",
        "##★★★★☆ – Avaliação boa\n",
        "Um app com 4 estrelas já é considerado muito bom, cumpre o que promete e foi bem desenvolvido.\n",
        "\n",
        "##★★★★★ – Avaliação ótima\n",
        "O usuário considera que esse app foi bem desenvolvido, tem um bom design, ótima navegação e suas funcionalidades são boas.\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lIBvM02c2o-Y",
        "colab_type": "text"
      },
      "source": [
        "Pelo o que podemos observar essa coluna descreve bem o que as pessoas acham importante em um aplicativo, por isso vamos fazer uma análise mais detalhda nessa coluna."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uiNaWmtgb1Wz",
        "colab_type": "code",
        "outputId": "8a9e4b90-8d36-4432-c27b-8c18ef51d839",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "# Valores únicos da coluna:\n",
        "df_app.user_rating.unique()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([3.5, 4.5, 4. , 3. , 5. , 2.5, 2. , 1.5, 1. , 0. ])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j4bz4uWr3LdT",
        "colab_type": "text"
      },
      "source": [
        "Temos valores de classificação igual a zero é para o nosso estudo esses valores não são interessante, visto que esse app se quer foi classificado e não ajudará a traçar o gosto do usuário."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "balehfhM4LA-",
        "colab_type": "text"
      },
      "source": [
        "Então o próximo passo será selecionar somente os aplicativos que tiveram uma classificação diferente de zero."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "liEvilM0cZlY",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Selecionando os valores:\n",
        "df_app = df_app.loc[(df_app.user_rating != 0)]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WUOsnYdWPg-o",
        "colab_type": "text"
      },
      "source": [
        "#**Análise Exploratória dos Dados (EDA)**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U3FUPcIMbGgy",
        "colab_type": "text"
      },
      "source": [
        "###**Quais são as categorias que tem o maior número de aplicativos?**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VF2esBlGk5LZ",
        "colab_type": "code",
        "outputId": "2c95bcab-7f00-410d-f57f-eb8b94a33c9c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 543
        }
      },
      "source": [
        "plt.figure(figsize=(15,7))\n",
        "fig = sns.countplot(x=df_app.prime_genre, palette=\"Spectral\")\n",
        "plt.xlabel('Categoria')\n",
        "plt.ylabel('Quantidade')\n",
        "plt.title('Total de aplicativos por categoria', size=20)\n",
        "fig.set_xticklabels(fig.get_xticklabels(),rotation=90)\n",
        "plt.show(fig)"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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JkiRJ0rDMKQlsY/ueCPw+8FLgYVV1zsq2SRLgCOCHVfVPI4tOAKZm+NwP+OxI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\nTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1080x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2TaajIZD4_DL",
        "colab_type": "text"
      },
      "source": [
        "A grande maioria dos aplicativos pertence a categoria de **Games** seguidos por um pequeno número de aplicativos de Entretenimento, Photo & Video e Educação."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mSp56O9enGbf",
        "colab_type": "code",
        "outputId": "62223822-d7c3-4acf-8353-533e5c954707",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        }
      },
      "source": [
        "# Wordcloud com a representação das categorias.\n",
        "wordcloud = WordCloud(max_font_size=350, collocations=False,width=1920, height=1080, background_color=\"black\").generate(' '.join(df_app.prime_genre))\n",
        "plt.figure(figsize=(12,8))\n",
        "plt.imshow(wordcloud, interpolation=\"bilinear\")\n",
        "plt.axis(\"off\")\n",
        "plt.tight_layout(pad=0)\n",
        "plt.show()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ZN1SEPi0wF8Lxag1FaJVS2O7pz70ujQtm63++KPwLanZyasxstZ+uzGak0IiZ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\naeup+5pbLlIcvsi2erIqFArFFqFjf5x9T2Rp2xU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po2vKJoTSzYSb2uu+tjmm20HZnvRc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XO//smh1Irp0iSpZRHWJGdz72Bq3Ru4r59HoLzIxEmBFLs7DyEESS3H2dw72H6Npr+/Gv+YzcTC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\nQO0TlFK0/Ar36h+z0Lq5qe6r7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+z9qGpOlM0fUvEFVTw+BWXUORRCYLgE2x8PoRkKf/Fv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\n7K86xfbdQlLyxTLKXB1swy64+AUAypWF7q4H2Zks2bm1e4jnU3l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pRaQp17Si5MJxC3zY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mFUHh5LT91F3K4yctmiVHQIhetTW3p4PKhISzLw7ADN25vpfqJ210AhBFpQo+8jfTQ/1Myl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vIQS+3k30fPkbjP3se5iTYws/l6Kgx5LEjjxE/NijqKHIXe/iTHTZM+Q81juFS1+QPvkO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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TI0LE6Euo2Vi",
        "colab_type": "text"
      },
      "source": [
        "###**Quais são os 15 games free com o maior número de classificações?**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Oe65ILF1-zgl",
        "colab_type": "code",
        "outputId": "b0a7ce7a-f518-4278-98c3-d0a6905e29ac",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        }
      },
      "source": [
        "# Games Free:\n",
        "top_free_games = df_app[(df_app[\"prime_genre\"]==\"Games\") & (df_app[\"price\"]==0)]\n",
        "top_free_games.sort_values(by=\"rating_count_tot\", ascending=False)[[\"track_name\", \"rating_count_tot\", \"user_rating\",\"price\"]].head(15)"
      ],
      "execution_count": 15,
      "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>track_name</th>\n",
              "      <th>rating_count_tot</th>\n",
              "      <th>user_rating</th>\n",
              "      <th>price</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Clash of Clans</td>\n",
              "      <td>2130805</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Temple Run</td>\n",
              "      <td>1724546</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Candy Crush Saga</td>\n",
              "      <td>961794</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Angry Birds</td>\n",
              "      <td>824451</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Subway Surfers</td>\n",
              "      <td>706110</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Solitaire</td>\n",
              "      <td>679055</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>CSR Racing</td>\n",
              "      <td>677247</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Crossy Road - Endless Arcade Hopper</td>\n",
              "      <td>669079</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Injustice: Gods Among Us</td>\n",
              "      <td>612532</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Hay Day</td>\n",
              "      <td>567344</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>PAC-MAN</td>\n",
              "      <td>508808</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>DragonVale</td>\n",
              "      <td>503230</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Head Soccer</td>\n",
              "      <td>481564</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>Despicable Me: Minion Rush</td>\n",
              "      <td>464312</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>The Sims™ FreePlay</td>\n",
              "      <td>446880</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                             track_name  rating_count_tot  user_rating  price\n",
              "2                        Clash of Clans           2130805          4.5    0.0\n",
              "3                            Temple Run           1724546          4.5    0.0\n",
              "7                      Candy Crush Saga            961794          4.5    0.0\n",
              "9                           Angry Birds            824451          4.5    0.0\n",
              "10                       Subway Surfers            706110          4.5    0.0\n",
              "12                            Solitaire            679055          4.5    0.0\n",
              "13                           CSR Racing            677247          4.5    0.0\n",
              "14  Crossy Road - Endless Arcade Hopper            669079          4.5    0.0\n",
              "15             Injustice: Gods Among Us            612532          4.5    0.0\n",
              "16                              Hay Day            567344          4.5    0.0\n",
              "19                              PAC-MAN            508808          3.0    0.0\n",
              "21                           DragonVale            503230          4.5    0.0\n",
              "23                          Head Soccer            481564          5.0    0.0\n",
              "25           Despicable Me: Minion Rush            464312          4.5    0.0\n",
              "26                   The Sims™ FreePlay            446880          4.5    0.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g-Jl9cPoaSCH",
        "colab_type": "code",
        "outputId": "394c8b53-50d6-40d3-e96b-ab31beb58473",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        }
      },
      "source": [
        "plt.figure(figsize=(15,7))\n",
        "ax = sns.barplot(x=top_free_games['rating_count_tot'][:15], y=top_free_games['track_name'][:15],palette=\"hls\")\n",
        "plt.xlabel('Classificação')\n",
        "plt.ylabel('Games')\n",
        "plt.title('Número de classificações dos Games Free', size=20)\n",
        "fig.set_xticklabels(fig.get_xticklabels(),rotation=90)\n",
        "plt.show(fig)"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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NJ+gtcU/O3WH3izbE4ADggCQPpet5tCddT4qZwHYLiRG6Xgq3AA9NsmFNfhLeyb7Pi9vY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\nHuawS6rqVSO0uXJVPbAcw/lpVc1NsjJwPvAa4KrlaEeSJEm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            "text/plain": [
              "<Figure size 1080x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "B7w7F2N3gNPd",
        "colab_type": "text"
      },
      "source": [
        "Quanto maior o número de classificações maior é o número de usuários desse app."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_cIFz1ufpZBM",
        "colab_type": "text"
      },
      "source": [
        "###**Quais são os 15 games paid com o maior número de classificações?**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "M-gAgqFp_vAV",
        "colab_type": "code",
        "outputId": "8be06c7d-5533-481e-fb42-ccf8f5bd8927",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        }
      },
      "source": [
        "# Games Paid:\n",
        "top_paid_games = df_app[(df_app[\"prime_genre\"]==\"Games\") & (df_app[\"price\"]!=0)]\n",
        "top_paid_games.sort_values(by=\"rating_count_tot\", ascending=False)[[\"track_name\", \"rating_count_tot\", \"user_rating\",\"price\"]].head(15)"
      ],
      "execution_count": 17,
      "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>track_name</th>\n",
              "      <th>rating_count_tot</th>\n",
              "      <th>user_rating</th>\n",
              "      <th>price</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Fruit Ninja Classic</td>\n",
              "      <td>698516</td>\n",
              "      <td>4.5</td>\n",
              "      <td>1.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Clear Vision (17+)</td>\n",
              "      <td>541693</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Minecraft: Pocket Edition</td>\n",
              "      <td>522012</td>\n",
              "      <td>4.5</td>\n",
              "      <td>6.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>Plants vs. Zombies</td>\n",
              "      <td>426463</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>Doodle Jump</td>\n",
              "      <td>395261</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>Draw Something</td>\n",
              "      <td>360974</td>\n",
              "      <td>4.5</td>\n",
              "      <td>2.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53</th>\n",
              "      <td>Infinity Blade</td>\n",
              "      <td>326482</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>70</th>\n",
              "      <td>Geometry Dash</td>\n",
              "      <td>266440</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>Tiny Wings</td>\n",
              "      <td>219418</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>88</th>\n",
              "      <td>Traffic Rush</td>\n",
              "      <td>213092</td>\n",
              "      <td>3.5</td>\n",
              "      <td>0.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>121</th>\n",
              "      <td>Plants vs. Zombies HD</td>\n",
              "      <td>163598</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>131</th>\n",
              "      <td>Infinity Blade II</td>\n",
              "      <td>153588</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>139</th>\n",
              "      <td>The Room</td>\n",
              "      <td>143908</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>140</th>\n",
              "      <td>Plague Inc.</td>\n",
              "      <td>143285</td>\n",
              "      <td>4.5</td>\n",
              "      <td>0.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>156</th>\n",
              "      <td>Where's My Water?</td>\n",
              "      <td>131656</td>\n",
              "      <td>4.5</td>\n",
              "      <td>1.99</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                    track_name  rating_count_tot  user_rating  price\n",
              "11         Fruit Ninja Classic            698516          4.5   1.99\n",
              "17          Clear Vision (17+)            541693          4.5   0.99\n",
              "18   Minecraft: Pocket Edition            522012          4.5   6.99\n",
              "28          Plants vs. Zombies            426463          5.0   0.99\n",
              "37                 Doodle Jump            395261          4.5   0.99\n",
              "45              Draw Something            360974          4.5   2.99\n",
              "53              Infinity Blade            326482          5.0   0.99\n",
              "70               Geometry Dash            266440          5.0   1.99\n",
              "86                  Tiny Wings            219418          4.5   0.99\n",
              "88                Traffic Rush            213092          3.5   0.99\n",
              "121      Plants vs. Zombies HD            163598          5.0   0.99\n",
              "131          Infinity Blade II            153588          4.5   0.99\n",
              "139                   The Room            143908          5.0   0.99\n",
              "140                Plague Inc.            143285          4.5   0.99\n",
              "156          Where's My Water?            131656          4.5   1.99"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mh8tRWQnZipl",
        "colab_type": "code",
        "outputId": "a96553d5-5050-4b11-d744-8d901d4c8961",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        }
      },
      "source": [
        "plt.figure(figsize=(15,7))\n",
        "ax = sns.barplot(x=top_paid_games['rating_count_tot'][:15], y=top_paid_games['track_name'][:15],palette=\"hls\")\n",
        "plt.xlabel('Classificação')\n",
        "plt.ylabel('Games')\n",
        "plt.title('Número de classificações dos Games Paid', size=20)\n",
        "fig.set_xticklabels(fig.get_xticklabels(),rotation=90)\n",
        "plt.show(fig)"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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WVD0J2I3uh5Jjk2w6Sav5kly7wx4Xrbv1PsA+SR5O1wNlHl2L+mxg+wnqCF1r9S3Aw5Ns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\nSZI6YlAuSZIkSVJHDMolSZIkSeqIQfkIktw7ijw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            "text/plain": [
              "<Figure size 1080x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qypUc7_0ptJu",
        "colab_type": "text"
      },
      "source": [
        "###**Quais são os aplicativos que não são jogos e tem uma classificação alta?**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PM7V0F6tYnnR",
        "colab_type": "code",
        "outputId": "648c3cb9-b746-4022-a9fa-5e79292df6c5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        }
      },
      "source": [
        "top_not_games = df_app[df_app['prime_genre'] != 'Games']\n",
        "top_not_games.sort_values(by=\"rating_count_tot\", ascending=False)[[\"track_name\", \"rating_count_tot\", \"user_rating\"]].head(15)"
      ],
      "execution_count": 19,
      "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>track_name</th>\n",
              "      <th>rating_count_tot</th>\n",
              "      <th>user_rating</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Facebook</td>\n",
              "      <td>2974676</td>\n",
              "      <td>3.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Instagram</td>\n",
              "      <td>2161558</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Pandora - Music &amp; Radio</td>\n",
              "      <td>1126879</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Pinterest</td>\n",
              "      <td>1061624</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Bible</td>\n",
              "      <td>985920</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Spotify Music</td>\n",
              "      <td>878563</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>Calorie Counter &amp; Diet Tracker by MyFitnessPal</td>\n",
              "      <td>507706</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>The Weather Channel: Forecast, Radar &amp; Alerts</td>\n",
              "      <td>495626</td>\n",
              "      <td>3.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>Google – Search made just for mobile</td>\n",
              "      <td>479440</td>\n",
              "      <td>3.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>Google Earth</td>\n",
              "      <td>446185</td>\n",
              "      <td>3.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>Groupon - Deals, Coupons &amp; Discount Shopping App</td>\n",
              "      <td>417779</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>Shazam - Discover music, artists, videos &amp; lyrics</td>\n",
              "      <td>402925</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>Lose It! – Weight Loss Program and Calorie Cou...</td>\n",
              "      <td>373835</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>Skype for iPhone</td>\n",
              "      <td>373519</td>\n",
              "      <td>3.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>Twitter</td>\n",
              "      <td>354058</td>\n",
              "      <td>3.5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           track_name  ...  user_rating\n",
              "0                                            Facebook  ...          3.5\n",
              "1                                           Instagram  ...          4.5\n",
              "4                             Pandora - Music & Radio  ...          4.0\n",
              "5                                           Pinterest  ...          4.5\n",
              "6                                               Bible  ...          4.5\n",
              "8                                       Spotify Music  ...          4.5\n",
              "20     Calorie Counter & Diet Tracker by MyFitnessPal  ...          4.5\n",
              "22      The Weather Channel: Forecast, Radar & Alerts  ...          3.5\n",
              "24               Google – Search made just for mobile  ...          3.5\n",
              "27                                       Google Earth  ...          3.5\n",
              "30   Groupon - Deals, Coupons & Discount Shopping App  ...          4.5\n",
              "35  Shazam - Discover music, artists, videos & lyrics  ...          4.0\n",
              "42  Lose It! – Weight Loss Program and Calorie Cou...  ...          4.0\n",
              "43                                   Skype for iPhone  ...          3.5\n",
              "47                                            Twitter  ...          3.5\n",
              "\n",
              "[15 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y_SpPWMCcZK-",
        "colab_type": "code",
        "outputId": "e00d0eb7-824b-4af0-ecbb-d3e3230518d5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        }
      },
      "source": [
        "plt.figure(figsize=(15,7))\n",
        "ax = sns.barplot(x=top_not_games['rating_count_tot'][:15], y=top_not_games['track_name'][:15],palette=\"hls\")\n",
        "plt.xlabel('Classificação')\n",
        "plt.ylabel('App')\n",
        "plt.title('Número de classificações dos aplicativos', size=20)\n",
        "fig.set_xticklabels(fig.get_xticklabels(),rotation=90)\n",
        "plt.show(fig)"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ixHZyknn98zeTrLOwbUiSJEmSJmfSRuPgpqqaW1WPAm4FDlzaASRZZTE1dQPw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\n5m7A1lV1ZwvSPGKSh7Wkjqyq/wOQZG/grCRbVtWNVfXmSR4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8C13gYyhjJcDHq+rzSzpG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\n",
            "text/plain": [
              "<Figure size 1080x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pm0HaGOc-Ddb",
        "colab_type": "text"
      },
      "source": [
        "###**Os aplicativos são direcionados para quais faixa etárias?**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Vcw4dtv1qOFu",
        "colab_type": "code",
        "outputId": "e7463165-0da7-4f3d-bafe-4c67a82f49e1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 476
        }
      },
      "source": [
        "plt.figure(figsize=(15,7))\n",
        "fig = sns.countplot(x=df_app.cont_rating, palette=\"Spectral\")\n",
        "plt.xlabel('Faixa etária')\n",
        "plt.ylabel('Quantidade')\n",
        "plt.title('Distribuição da faixa etária', size=20)\n",
        "fig.set_xticklabels(fig.get_xticklabels(),rotation=90)\n",
        "plt.show(fig)"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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PzTBM9poM//B/T4ZAd3SWv4/efTNMBnJFhiB2RZL/leS+q/zeK8kzMtx78KsZgs5LM/Sg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\nAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1080x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Zub0VX6bBp9K",
        "colab_type": "text"
      },
      "source": [
        "A maioria dos aplicativos está disponível para o público maior de 4 anos."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Gp8t62mHS4ik",
        "colab_type": "text"
      },
      "source": [
        "###**Quais são os 15 aplicativos com o maior número classificações?**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qtpbIVwl5CYE",
        "colab_type": "code",
        "outputId": "09a2a8a2-fe13-4be6-bbed-682b298e0434",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        }
      },
      "source": [
        "plt.figure(figsize=(15,7))\n",
        "ax=sns.barplot(y='track_name',x='rating_count_tot',data=df_app.head(15),palette=\"hls\")\n",
        "plt.xlabel('Número de classificações')\n",
        "plt.ylabel('App')\n",
        "plt.title('Classificação X App', size=20)\n",
        "fig.set_xticklabels(fig.get_xticklabels(),rotation=90)\n",
        "plt.show(fig)\n"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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4sKq2As4FXtPaPwp8olUHXNcz9AuBmcBWwK7AB5Ns0M5tA/xTVT15MfdcEl8E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\n",
            "text/plain": [
              "<Figure size 1080x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RS77JcolFilK",
        "colab_type": "code",
        "outputId": "2908cb27-5300-4e37-ebf2-8b967f0eff4d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        }
      },
      "source": [
        "# Os 15 aplicativos com mais avaliações:\n",
        "df_app.sort_values(by=\"rating_count_tot\", ascending=False)[[\"track_name\", \"rating_count_tot\", \"user_rating\"]].head(15)"
      ],
      "execution_count": 23,
      "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>track_name</th>\n",
              "      <th>rating_count_tot</th>\n",
              "      <th>user_rating</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Facebook</td>\n",
              "      <td>2974676</td>\n",
              "      <td>3.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Instagram</td>\n",
              "      <td>2161558</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Clash of Clans</td>\n",
              "      <td>2130805</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Temple Run</td>\n",
              "      <td>1724546</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Pandora - Music &amp; Radio</td>\n",
              "      <td>1126879</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Pinterest</td>\n",
              "      <td>1061624</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Bible</td>\n",
              "      <td>985920</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Candy Crush Saga</td>\n",
              "      <td>961794</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Spotify Music</td>\n",
              "      <td>878563</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Angry Birds</td>\n",
              "      <td>824451</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Subway Surfers</td>\n",
              "      <td>706110</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Fruit Ninja Classic</td>\n",
              "      <td>698516</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Solitaire</td>\n",
              "      <td>679055</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>CSR Racing</td>\n",
              "      <td>677247</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Crossy Road - Endless Arcade Hopper</td>\n",
              "      <td>669079</td>\n",
              "      <td>4.5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                             track_name  rating_count_tot  user_rating\n",
              "0                              Facebook           2974676          3.5\n",
              "1                             Instagram           2161558          4.5\n",
              "2                        Clash of Clans           2130805          4.5\n",
              "3                            Temple Run           1724546          4.5\n",
              "4               Pandora - Music & Radio           1126879          4.0\n",
              "5                             Pinterest           1061624          4.5\n",
              "6                                 Bible            985920          4.5\n",
              "7                      Candy Crush Saga            961794          4.5\n",
              "8                         Spotify Music            878563          4.5\n",
              "9                           Angry Birds            824451          4.5\n",
              "10                       Subway Surfers            706110          4.5\n",
              "11                  Fruit Ninja Classic            698516          4.5\n",
              "12                            Solitaire            679055          4.5\n",
              "13                           CSR Racing            677247          4.5\n",
              "14  Crossy Road - Endless Arcade Hopper            669079          4.5"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_vid1T5PJXEg",
        "colab_type": "text"
      },
      "source": [
        "As maiores avaliações são para os aplicativos de rede social, o campeão é o Facebook."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HvvR0o21LDal",
        "colab_type": "text"
      },
      "source": [
        "\n",
        "\n",
        "![alt text](https://drive.google.com/uc?id=1PWjrPdjSKNI1JxUNH-Gck7e4m7khEAaG)![alt text](https://drive.google.com/uc?id=1hJm82xh_R4l4Vn2gM7KtrN6DWgzh-1UV)![alt text](https://drive.google.com/uc?id=18Tqcgt4xib9Lk2HjB-hoGXRfb_r6KJK3)![alt text](https://drive.google.com/uc?id=1Rqd8NtKw3GEdRxbkR5Q9E9fj5k8hn7bb)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CzxYox_5H9f5",
        "colab_type": "text"
      },
      "source": [
        "###**A loja tem mais aplicativos pagos ou gratuitos?**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "buopL4JlrcqA",
        "colab_type": "code",
        "outputId": "e9bc1fcb-3223-48e5-8999-b30224b9656a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 530
        }
      },
      "source": [
        "plt.figure(figsize=(10,8))\n",
        "fig = sns.countplot(x=df_app.price.apply(lambda x: 'Free' if x == 0 else 'Paid'), palette=\"Spectral\")\n",
        "plt.xlabel('Tipo')\n",
        "plt.ylabel('Quantidade')\n",
        "plt.title('App Free X App Paid', size=20)\n",
        "fig.set_xticklabels(fig.get_xticklabels(),rotation=90)\n",
        "plt.show(fig)"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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JktQpg5okSVKnDGqSJEmdMqhJkiR1yqAmSZLUKYOaJElSpwxqkiRJnTKoSZIkdcqgJkmS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\nYII=\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hj6F8G1GCKhZ",
        "colab_type": "text"
      },
      "source": [
        "O número de aplicativos pagos e gratuitos é quase que o mesmo, existe pouca diferença."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SnMFycmSPPnV",
        "colab_type": "text"
      },
      "source": [
        "###**Entre os aplicativos pagos quais são os preços mais frequentes?**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PTtoNXtHvQlk",
        "colab_type": "code",
        "outputId": "3788ee61-6893-46c1-ac9e-ee6e9b1c9cb0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 490
        }
      },
      "source": [
        "plt.figure(figsize=(15,7))\n",
        "price_app = df_app[df_app.price != 0.0]\n",
        "price_plot = sns.countplot(price_app.price, palette = \"hls\")\n",
        "plt.xlabel('Preço')\n",
        "plt.ylabel('Quantidade')\n",
        "plt.title('Número de aplicativos por preço',size = 20)\n",
        "price_plot.set_xticklabels(price_plot.get_xticklabels(), rotation=90, ha=\"right\")\n",
        "plt.show(fig)"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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kSZIkzcjyeuN8QWb+T0S8eigdgMx8b491kyRJkiStpOVd2btbfbz7iGX2xilJ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\n",
            "text/plain": [
              "<Figure size 1080x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NItv4FxHCxlo",
        "colab_type": "text"
      },
      "source": [
        "Filtramos somente os aplicativos pagos para poder observar a sua distribuição. A distribuição desses valores está na faixa de 0.99 a 4.99 dólares."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Vf4GC4_6Ihuo",
        "colab_type": "text"
      },
      "source": [
        "###**Quais são as classificações mais frequentes?**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U4KHMeXUw2PN",
        "colab_type": "code",
        "outputId": "83db9fab-4e37-4648-c612-3fc3c415d617",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 463
        }
      },
      "source": [
        "plt.figure(figsize=(15,7))\n",
        "ax = sns.countplot(x=\"user_rating\",data=df_app, palette = \"Spectral\")\n",
        "plt.xlabel('Classificação')\n",
        "plt.ylabel('Quantidade')\n",
        "plt.title('Distribuição da classificação',size = 20)\n",
        "plt.show(fig)"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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u/tuqeuqy9iRJd//FAmsDAABgne3oTOB1xucfWWGZ2UEBAAB2MTuaHfRvxh/f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\nAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1080x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5HfOT38WEIUI",
        "colab_type": "text"
      },
      "source": [
        "Muitos aplicativos tem uma classificação em torno de 4.0 a 4.5 estrelas e alguns com uma classificação de 5.0 estrelas."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FB8sXKThRrKD",
        "colab_type": "text"
      },
      "source": [
        "##**Conclusão**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nhROgKn0XNlW",
        "colab_type": "text"
      },
      "source": [
        "Depois de toda essa análise podemos concluir que os aplicativos voltados para games são os que mais atraem os usuários, então um desenvolvedor pode usar essa análise como base para criar seu próximo aplicativo.\n",
        "\n"
      ]
    }
  ]
}