16_ntb_apps_analytics.ipynb

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        "<a href=\"https://colab.research.google.com/github/luasampaio/data-engineering/blob/main/16_ntb_apps_analytics.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    {
      "cell_type": "code",
      "source": [
        "import pandas as pd"
      ],
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        "id": "E38d1zFQe72i"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KozfBFZAe9k3",
        "outputId": "1c2241f1-0569-4343-905a-3e8275ac38da"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv('/content/drive/MyDrive/.Dataset/apps.csv')"
      ],
      "metadata": {
        "id": "C5WjGSp6fJHn"
      },
      "execution_count": 16,
      "outputs": []
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        "df"
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              "    async function quickchart(key) {\n",
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              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-171a0d48-529c-4ddf-a689-76c97eda4f78 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_6cf5f5cf-2bca-4357-9257-1bb36b9f7e40\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "    </button>\n",
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              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_6cf5f5cf-2bca-4357-9257-1bb36b9f7e40 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 9659,\n  \"fields\": [\n    {\n      \"column\": \"Unnamed: 0\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3102,\n        \"min\": 0,\n        \"max\": 10840,\n        \"num_unique_values\": 9659,\n        \"samples\": [\n          4395,\n          9894,\n          3885\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"App\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 9659,\n        \"samples\": [\n          \"Guns'n'Glory Zombies Premium\",\n          \"Doorstep EU\",\n          \"UNO \\u2122 & Friends\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 33,\n        \"samples\": [\n          \"NEWS_AND_MAGAZINES\",\n          \"LIBRARIES_AND_DEMO\",\n          \"PERSONALIZATION\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5366247303874476,\n        \"min\": 1.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 39,\n        \"samples\": [\n          2.4,\n          1.4,\n          4.3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Reviews\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1831319,\n        \"min\": 0,\n        \"max\": 78158306,\n        \"num_unique_values\": 5330,\n        \"samples\": [\n          37023,\n          108592,\n          1336246\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 21.827509376178064,\n        \"min\": 0.0,\n        \"max\": 100.0,\n        \"num_unique_values\": 191,\n        \"samples\": [\n          93.0,\n          5.0,\n          68.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Installs\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 21,\n        \"samples\": [\n          \"10,000+\",\n          \"1+\",\n          \"500+\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Paid\",\n          \"Free\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Price\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 92,\n        \"samples\": [\n          \"$17.99\",\n          \"$29.99\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Content Rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"Everyone\",\n          \"Teen\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 118,\n        \"samples\": [\n          \"Educational;Education\",\n          \"Travel & Local;Action & Adventure\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Last Updated\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 1377,\n        \"samples\": [\n          \"February 19, 2018\",\n          \"April 1, 2018\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Current Ver\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2769,\n        \"samples\": [\n          \"2.3.1.8\",\n          \"20\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Android Ver\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 33,\n        \"samples\": [\n          \"2.2 - 7.1.1\",\n          \"7.0 and up\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.count()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 523
        },
        "id": "2GtU31xIfZrI",
        "outputId": "5fc3d5e7-6a3d-42d9-c599-8ca8f531d5e3"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Unnamed: 0        9659\n",
              "App               9659\n",
              "Category          9659\n",
              "Rating            8196\n",
              "Reviews           9659\n",
              "Size              8432\n",
              "Installs          9659\n",
              "Type              9659\n",
              "Price             9659\n",
              "Content Rating    9659\n",
              "Genres            9659\n",
              "Last Updated      9659\n",
              "Current Ver       9651\n",
              "Android Ver       9657\n",
              "dtype: int64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
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              "    .dataframe tbody tr th {\n",
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              "    </tr>\n",
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              "      <td>8432</td>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "      <td>9659</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Type</th>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>Price</th>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>Content Rating</th>\n",
              "      <td>9659</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Genres</th>\n",
              "      <td>9659</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Last Updated</th>\n",
              "      <td>9659</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Current Ver</th>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>Android Ver</th>\n",
              "      <td>9657</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "y-5WWIMQfcFh",
        "outputId": "55ae0660-3300-4c25-d9ff-26d00d212707"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 9659 entries, 0 to 9658\n",
            "Data columns (total 14 columns):\n",
            " #   Column          Non-Null Count  Dtype  \n",
            "---  ------          --------------  -----  \n",
            " 0   Unnamed: 0      9659 non-null   int64  \n",
            " 1   App             9659 non-null   object \n",
            " 2   Category        9659 non-null   object \n",
            " 3   Rating          8196 non-null   float64\n",
            " 4   Reviews         9659 non-null   int64  \n",
            " 5   Size            8432 non-null   float64\n",
            " 6   Installs        9659 non-null   object \n",
            " 7   Type            9659 non-null   object \n",
            " 8   Price           9659 non-null   object \n",
            " 9   Content Rating  9659 non-null   object \n",
            " 10  Genres          9659 non-null   object \n",
            " 11  Last Updated    9659 non-null   object \n",
            " 12  Current Ver     9651 non-null   object \n",
            " 13  Android Ver     9657 non-null   object \n",
            "dtypes: float64(2), int64(2), object(10)\n",
            "memory usage: 1.0+ MB\n"
          ]
        }
      ]
    },
    {
      "source": [
        "print('Tamanho dataset = ', df.count())"
      ],
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "teBgwYobfnjd",
        "outputId": "26d1f7ba-75bc-4000-fb13-5eb25263df14"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Tamanho dataset =  Unnamed: 0        9659\n",
            "App               9659\n",
            "Category          9659\n",
            "Rating            8196\n",
            "Reviews           9659\n",
            "Size              8432\n",
            "Installs          9659\n",
            "Type              9659\n",
            "Price             9659\n",
            "Content Rating    9659\n",
            "Genres            9659\n",
            "Last Updated      9659\n",
            "Current Ver       9651\n",
            "Android Ver       9657\n",
            "dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#uma olhada em uma amostra aleatória de n linhas\n",
        "n = 5\n",
        "df.sample(n)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "fgJh2ZNcgkhE",
        "outputId": "291c2ecb-671f-435b-9759-6e45f9e6dd81"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Unnamed: 0                                          App  \\\n",
              "4733        5716  Remote For Pioneer AV Receivers and Blu-Ray   \n",
              "3747        4663                Alarmy (Sleep If U Can) - Pro   \n",
              "9356       10531           Kernel Manager for Franco Kernel ✨   \n",
              "7387        8481               Visuelles Wörterbuch Audio-App   \n",
              "4092        5039                                     AF Hydro   \n",
              "\n",
              "                Category  Rating  Reviews  Size  Installs  Type  Price  \\\n",
              "4733               TOOLS     3.4      150   7.3   50,000+  Free      0   \n",
              "3747           LIFESTYLE     4.8    10249   NaN   10,000+  Paid  $2.49   \n",
              "9356               TOOLS     4.8    12700  10.0  100,000+  Paid  $3.49   \n",
              "7387              FAMILY     3.1      192  66.0   10,000+  Free      0   \n",
              "4092  HEALTH_AND_FITNESS     2.0      136  15.0   10,000+  Free      0   \n",
              "\n",
              "     Content Rating            Genres    Last Updated         Current Ver  \\\n",
              "4733       Everyone             Tools    June 1, 2018           Cow V3.11   \n",
              "3747       Everyone         Lifestyle   July 30, 2018  Varies with device   \n",
              "9356       Everyone             Tools  August 3, 2018               3.2.5   \n",
              "7387       Everyone         Education    July 7, 2017               1.1.6   \n",
              "4092       Everyone  Health & Fitness    May 12, 2018               1.0.5   \n",
              "\n",
              "             Android Ver  \n",
              "4733          4.1 and up  \n",
              "3747  Varies with device  \n",
              "9356          5.0 and up  \n",
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            ],
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              "\n",
              "  <div id=\"df-568dd623-0407-4ef3-871c-76fb1bd1b9ff\" class=\"colab-df-container\">\n",
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              "<style scoped>\n",
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              "        vertical-align: middle;\n",
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              "\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "</style>\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
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              "      <td>5716</td>\n",
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              "      <td>3.4</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>Everyone</td>\n",
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              "      <td>July 30, 2018</td>\n",
              "      <td>Varies with device</td>\n",
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              "    </tr>\n",
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              "      <td>Kernel Manager for Franco Kernel ✨</td>\n",
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              "      <td>4.8</td>\n",
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              "      <th>7387</th>\n",
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              "      <td>Visuelles Wörterbuch Audio-App</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>3.1</td>\n",
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              "      <td>Education</td>\n",
              "      <td>July 7, 2017</td>\n",
              "      <td>1.1.6</td>\n",
              "      <td>4.1 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4092</th>\n",
              "      <td>5039</td>\n",
              "      <td>AF Hydro</td>\n",
              "      <td>HEALTH_AND_FITNESS</td>\n",
              "      <td>2.0</td>\n",
              "      <td>136</td>\n",
              "      <td>15.0</td>\n",
              "      <td>10,000+</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Health &amp; Fitness</td>\n",
              "      <td>May 12, 2018</td>\n",
              "      <td>1.0.5</td>\n",
              "      <td>4.4 and up</td>\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "0"
            }
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Elimina Duplicados"
      ],
      "metadata": {
        "id": "nlkkcTy0hNu9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "apps = df.drop_duplicates()"
      ],
      "metadata": {
        "id": "-revgBKZhMnm"
      },
      "execution_count": 22,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# List of characters to remove\n",
        "chars_to_remove = [\"+\",\",\",\"$\"]\n",
        "# List of column names to clean\n",
        "cols_to_clean = [\"Installs\",\"Price\"]\n",
        "\n",
        "# Loop for each column\n",
        "for col in cols_to_clean:\n",
        "    # Replace each character with an empty string\n",
        "    for char in chars_to_remove:\n",
        "        apps[col] = apps[col].astype(str).str.replace(char,'')\n",
        "    # Convert col to numeric\n",
        "    apps[col] = pd.to_numeric(apps[col])\n",
        "#display(apps.head(150))"
      ],
      "metadata": {
        "id": "jnk4n2yygzUB"
      },
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "apps.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "Sl-6pNI6g5is",
        "outputId": "b4166078-d094-4dba-87a7-d4b1c9fd74d8"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Unnamed: 0                                                App  \\\n",
              "0           0     Photo Editor & Candy Camera & Grid & ScrapBook   \n",
              "1           1                                Coloring book moana   \n",
              "2           2  U Launcher Lite – FREE Live Cool Themes, Hide ...   \n",
              "3           3                              Sketch - Draw & Paint   \n",
              "4           4              Pixel Draw - Number Art Coloring Book   \n",
              "5           5                         Paper flowers instructions   \n",
              "6           6            Smoke Effect Photo Maker - Smoke Editor   \n",
              "7           7                                   Infinite Painter   \n",
              "8           8                               Garden Coloring Book   \n",
              "9           9                      Kids Paint Free - Drawing Fun   \n",
              "\n",
              "         Category  Rating  Reviews  Size  Installs  Type  Price  \\\n",
              "0  ART_AND_DESIGN     4.1      159  19.0     10000  Free    0.0   \n",
              "1  ART_AND_DESIGN     3.9      967  14.0    500000  Free    0.0   \n",
              "2  ART_AND_DESIGN     4.7    87510   8.7   5000000  Free    0.0   \n",
              "3  ART_AND_DESIGN     4.5   215644  25.0  50000000  Free    0.0   \n",
              "4  ART_AND_DESIGN     4.3      967   2.8    100000  Free    0.0   \n",
              "5  ART_AND_DESIGN     4.4      167   5.6     50000  Free    0.0   \n",
              "6  ART_AND_DESIGN     3.8      178  19.0     50000  Free    0.0   \n",
              "7  ART_AND_DESIGN     4.1    36815  29.0   1000000  Free    0.0   \n",
              "8  ART_AND_DESIGN     4.4    13791  33.0   1000000  Free    0.0   \n",
              "9  ART_AND_DESIGN     4.7      121   3.1     10000  Free    0.0   \n",
              "\n",
              "  Content Rating                     Genres        Last Updated  \\\n",
              "0       Everyone               Art & Design     January 7, 2018   \n",
              "1       Everyone  Art & Design;Pretend Play    January 15, 2018   \n",
              "2       Everyone               Art & Design      August 1, 2018   \n",
              "3           Teen               Art & Design        June 8, 2018   \n",
              "4       Everyone    Art & Design;Creativity       June 20, 2018   \n",
              "5       Everyone               Art & Design      March 26, 2017   \n",
              "6       Everyone               Art & Design      April 26, 2018   \n",
              "7       Everyone               Art & Design       June 14, 2018   \n",
              "8       Everyone               Art & Design  September 20, 2017   \n",
              "9       Everyone    Art & Design;Creativity        July 3, 2018   \n",
              "\n",
              "          Current Ver   Android Ver  \n",
              "0               1.0.0  4.0.3 and up  \n",
              "1               2.0.0  4.0.3 and up  \n",
              "2               1.2.4  4.0.3 and up  \n",
              "3  Varies with device    4.2 and up  \n",
              "4                 1.1    4.4 and up  \n",
              "5                   1    2.3 and up  \n",
              "6                 1.1  4.0.3 and up  \n",
              "7            6.1.61.1    4.2 and up  \n",
              "8               2.9.2    3.0 and up  \n",
              "9                 2.8  4.0.3 and up  "
            ],
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>Unnamed: 0</th>\n",
              "      <th>App</th>\n",
              "      <th>Category</th>\n",
              "      <th>Rating</th>\n",
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              "      <th>Android Ver</th>\n",
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              "  </thead>\n",
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              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>Photo Editor &amp; Candy Camera &amp; Grid &amp; ScrapBook</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
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              "      <td>159</td>\n",
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              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design</td>\n",
              "      <td>January 7, 2018</td>\n",
              "      <td>1.0.0</td>\n",
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              "    </tr>\n",
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              "      <td>Coloring book moana</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>3.9</td>\n",
              "      <td>967</td>\n",
              "      <td>14.0</td>\n",
              "      <td>500000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design;Pretend Play</td>\n",
              "      <td>January 15, 2018</td>\n",
              "      <td>2.0.0</td>\n",
              "      <td>4.0.3 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>4.7</td>\n",
              "      <td>87510</td>\n",
              "      <td>8.7</td>\n",
              "      <td>5000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design</td>\n",
              "      <td>August 1, 2018</td>\n",
              "      <td>1.2.4</td>\n",
              "      <td>4.0.3 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>Sketch - Draw &amp; Paint</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>4.5</td>\n",
              "      <td>215644</td>\n",
              "      <td>25.0</td>\n",
              "      <td>50000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Art &amp; Design</td>\n",
              "      <td>June 8, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>4.2 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>4.3</td>\n",
              "      <td>967</td>\n",
              "      <td>2.8</td>\n",
              "      <td>100000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design;Creativity</td>\n",
              "      <td>June 20, 2018</td>\n",
              "      <td>1.1</td>\n",
              "      <td>4.4 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>5</td>\n",
              "      <td>Paper flowers instructions</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>4.4</td>\n",
              "      <td>167</td>\n",
              "      <td>5.6</td>\n",
              "      <td>50000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design</td>\n",
              "      <td>March 26, 2017</td>\n",
              "      <td>1</td>\n",
              "      <td>2.3 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>6</td>\n",
              "      <td>Smoke Effect Photo Maker - Smoke Editor</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>3.8</td>\n",
              "      <td>178</td>\n",
              "      <td>19.0</td>\n",
              "      <td>50000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design</td>\n",
              "      <td>April 26, 2018</td>\n",
              "      <td>1.1</td>\n",
              "      <td>4.0.3 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>7</td>\n",
              "      <td>Infinite Painter</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>4.1</td>\n",
              "      <td>36815</td>\n",
              "      <td>29.0</td>\n",
              "      <td>1000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design</td>\n",
              "      <td>June 14, 2018</td>\n",
              "      <td>6.1.61.1</td>\n",
              "      <td>4.2 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>8</td>\n",
              "      <td>Garden Coloring Book</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>4.4</td>\n",
              "      <td>13791</td>\n",
              "      <td>33.0</td>\n",
              "      <td>1000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design</td>\n",
              "      <td>September 20, 2017</td>\n",
              "      <td>2.9.2</td>\n",
              "      <td>3.0 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>9</td>\n",
              "      <td>Kids Paint Free - Drawing Fun</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>4.7</td>\n",
              "      <td>121</td>\n",
              "      <td>3.1</td>\n",
              "      <td>10000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design;Creativity</td>\n",
              "      <td>July 3, 2018</td>\n",
              "      <td>2.8</td>\n",
              "      <td>4.0.3 and up</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-bef15050-5eff-4b9d-a8ed-c2bf75a48d18')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-bef15050-5eff-4b9d-a8ed-c2bf75a48d18 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-bef15050-5eff-4b9d-a8ed-c2bf75a48d18');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
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              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-c8a769ec-dd32-4c32-8949-f852b40ce4c6\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c8a769ec-dd32-4c32-8949-f852b40ce4c6')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c8a769ec-dd32-4c32-8949-f852b40ce4c6 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "apps",
              "summary": "{\n  \"name\": \"apps\",\n  \"rows\": 9659,\n  \"fields\": [\n    {\n      \"column\": \"Unnamed: 0\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3102,\n        \"min\": 0,\n        \"max\": 10840,\n        \"num_unique_values\": 9659,\n        \"samples\": [\n          4395,\n          9894,\n          3885\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"App\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 9659,\n        \"samples\": [\n          \"Guns'n'Glory Zombies Premium\",\n          \"Doorstep EU\",\n          \"UNO \\u2122 & Friends\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 33,\n        \"samples\": [\n          \"NEWS_AND_MAGAZINES\",\n          \"LIBRARIES_AND_DEMO\",\n          \"PERSONALIZATION\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5366247303874476,\n        \"min\": 1.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 39,\n        \"samples\": [\n          2.4,\n          1.4,\n          4.3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Reviews\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1831319,\n        \"min\": 0,\n        \"max\": 78158306,\n        \"num_unique_values\": 5330,\n        \"samples\": [\n          37023,\n          108592,\n          1336246\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 21.827509376178064,\n        \"min\": 0.0,\n        \"max\": 100.0,\n        \"num_unique_values\": 191,\n        \"samples\": [\n          93.0,\n          5.0,\n          68.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Installs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 53758278,\n        \"min\": 0,\n        \"max\": 1000000000,\n        \"num_unique_values\": 20,\n        \"samples\": [\n          10000,\n          1,\n          500\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Paid\",\n          \"Free\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.852151906882774,\n        \"min\": 0.0,\n        \"max\": 400.0,\n        \"num_unique_values\": 92,\n        \"samples\": [\n          17.99,\n          29.99\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Content Rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"Everyone\",\n          \"Teen\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 118,\n        \"samples\": [\n          \"Educational;Education\",\n          \"Travel & Local;Action & Adventure\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Last Updated\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 1377,\n        \"samples\": [\n          \"February 19, 2018\",\n          \"April 1, 2018\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Current Ver\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2769,\n        \"samples\": [\n          \"2.3.1.8\",\n          \"20\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Android Ver\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 33,\n        \"samples\": [\n          \"2.2 - 7.1.1\",\n          \"7.0 and up\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "source": [
        "\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Create the box plot\n",
        "plt.figure(figsize=(10, 6))\n",
        "plt.boxplot([apps[apps['Category'] == category]['Price'] for category in apps['Category'].unique()], labels=apps['Category'].unique())\n",
        "plt.xlabel('Category')\n",
        "plt.ylabel('Price')\n",
        "plt.title('App Price Distribution by Category')\n",
        "_ = plt.xticks(rotation=90)\n"
      ],
      "cell_type": "code",
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 726
        },
        "id": "JzH3ALoIiUi-",
        "outputId": "367be5ec-0f61-4de2-cbdb-932feb4412e2"
      }
    }
  ]
}