005 Google Play Store App Analytics.ipynb

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      "source": [
        "# Introduction\n",
        "\n",
        "In this notebook, we will do a comprehensive analysis of the Android app market by comparing thousands of apps in the Google Play store."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sDT5lMxadiT3"
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      "source": [
        "# About the Dataset of Google Play Store Apps & Reviews"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5CiydsdNdiT3"
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      "source": [
        "**Data Source:** <br>\n",
        "App and review data was scraped from the Google Play Store by Lavanya Gupta in 2018. Original files listed [here](\n",
        "https://www.kaggle.com/lava18/google-play-store-apps)."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BBKBNy4UdiT4"
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      "source": [
        "# Import Statements"
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      "cell_type": "code",
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        "id": "_5mfFH4_diT4"
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      "source": [
        "import pandas as pd\n",
        "import plotly.express as px"
      ],
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KegC9nPDdiT7"
      },
      "source": [
        "# Notebook Presentation"
      ]
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    {
      "cell_type": "code",
      "metadata": {
        "id": "WPL7rhJndiT7"
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      "source": [
        "# Show numeric output in decimal format e.g., 2.15\n",
        "pd.options.display.float_format = '{:,.2f}'.format"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Uc9LOZu9diT-"
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      "source": [
        "# Read the Dataset"
      ]
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    {
      "cell_type": "code",
      "metadata": {
        "id": "zU0Zisv_diT-"
      },
      "source": [
        "df_apps = pd.read_csv('apps.csv')"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iKvSUwQldiUA"
      },
      "source": [
        "# Data Cleaning"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MWTzYZIds5L9"
      },
      "source": [
        "**Challenge**: How many rows and columns does `df_apps` have? What are the column names? Look at a random sample of 5 different rows with [.sample()](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.sample.html)."
      ]
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        "outputId": "4e53560f-18b6-4c50-e0a7-333434d533d0"
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      "source": [
        "df_apps.head()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                            App         Category  Rating  \\\n",
              "0                       Ak Parti Yardım Toplama           SOCIAL     NaN   \n",
              "1                    Ain Arabic Kids Alif Ba ta           FAMILY     NaN   \n",
              "2  Popsicle Launcher for Android P 9.0 launcher  PERSONALIZATION     NaN   \n",
              "3                     Command & Conquer: Rivals           FAMILY     NaN   \n",
              "4                                    CX Network         BUSINESS     NaN   \n",
              "\n",
              "   Reviews  Size_MBs Installs  Type   Price Content_Rating           Genres  \\\n",
              "0        0      8.70        0  Paid  $13.99           Teen           Social   \n",
              "1        0     33.00        0  Paid   $2.99       Everyone        Education   \n",
              "2        0      5.50        0  Paid   $1.49       Everyone  Personalization   \n",
              "3        0     19.00        0   NaN       0   Everyone 10+         Strategy   \n",
              "4        0     10.00        0  Free       0       Everyone         Business   \n",
              "\n",
              "     Last_Updated         Android_Ver  \n",
              "0   July 28, 2017          4.1 and up  \n",
              "1  April 15, 2016          3.0 and up  \n",
              "2   July 11, 2018          4.2 and up  \n",
              "3   June 28, 2018  Varies with device  \n",
              "4  August 6, 2018          4.1 and up  "
            ],
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              "      <td>August 6, 2018</td>\n",
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              "type": "dataframe",
              "variable_name": "df_apps",
              "summary": "{\n  \"name\": \"df_apps\",\n  \"rows\": 10841,\n  \"fields\": [\n    {\n      \"column\": \"App\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 9660,\n        \"samples\": [\n          \"Tech CU Mobile Banking\",\n          \"Weather by WeatherBug: Forecast, Radar & Alerts\",\n          \"How To Get Your Ex Back Fast\"\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          \"EDUCATION\",\n          \"FOOD_AND_DRINK\",\n          \"LIBRARIES_AND_DEMO\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.515735240579464,\n        \"min\": 1.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 39,\n        \"samples\": [\n          1.8,\n          1.2,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Reviews\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2927628,\n        \"min\": 0,\n        \"max\": 78158306,\n        \"num_unique_values\": 6001,\n        \"samples\": [\n          5985,\n          337752,\n          138\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size_MBs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 21.404353686899903,\n        \"min\": 0.00830078125,\n        \"max\": 100.0,\n        \"num_unique_values\": 471,\n        \"samples\": [\n          1.8,\n          2.5,\n          2.9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Installs\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 20,\n        \"samples\": [\n          \"0\",\n          \"100,000,000\",\n          \"10,000,000\"\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          \"Free\",\n          \"Paid\"\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          \"$7.99\",\n          \"$3.04\"\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          \"Teen\",\n          \"Everyone\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 119,\n        \"samples\": [\n          \"Music\",\n          \"Puzzle;Education\"\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          \"April 1, 2018\",\n          \"June 4, 2015\"\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          \"5.0 - 8.0\",\n          \"5.1 and up\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fKXFjPkmnuYA",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "facf1d6c-c5b6-4348-a919-51cd1c3c4d06"
      },
      "source": [
        "df_apps.shape"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(10841, 12)"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MUluaHF5nueH",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 347
        },
        "outputId": "fa941411-21c5-4509-d564-1c271dee5e75"
      },
      "source": [
        "df_apps.sample(5)# The .sample(n) method will get n random rows"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                 App            Category  Rating  Reviews  \\\n",
              "366   CL 2ne1 Wallpaper KPOP HD Best     PERSONALIZATION     NaN        3   \n",
              "4452                   C++ Tutorials           EDUCATION    4.10      358   \n",
              "1840                          BT App  NEWS_AND_MAGAZINES     NaN       24   \n",
              "2051                   DX Spots Free               TOOLS    4.50       46   \n",
              "8671              Southwest Airlines    TRAVEL_AND_LOCAL    3.90    24781   \n",
              "\n",
              "      Size_MBs   Installs  Type Price Content_Rating            Genres  \\\n",
              "366       3.40         10  Free     0       Everyone   Personalization   \n",
              "4452      1.90     50,000  Free     0       Everyone         Education   \n",
              "1840     14.00      1,000  Free     0       Everyone  News & Magazines   \n",
              "2051     24.00      1,000  Free     0       Everyone             Tools   \n",
              "8671      8.30  5,000,000  Free     0       Everyone    Travel & Local   \n",
              "\n",
              "         Last_Updated Android_Ver  \n",
              "366      July 9, 2018  4.0 and up  \n",
              "4452  August 21, 2014  2.3 and up  \n",
              "1840    July 19, 2018  4.2 and up  \n",
              "2051     May 18, 2018  4.1 and up  \n",
              "8671    July 11, 2018  6.0 and up  "
            ],
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              "      <td>July 19, 2018</td>\n",
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              "      <td>May 18, 2018</td>\n",
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              "      <td>24781</td>\n",
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              "      <td>July 11, 2018</td>\n",
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              "\n",
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              "    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",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "\n",
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              "  </div>\n"
            ],
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              "type": "dataframe",
              "repr_error": "0"
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          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Hh81sMcvdiUI"
      },
      "source": [
        "### Drop Unused Columns\n",
        "\n",
        "**Challenge**: Remove the columns called `Last_Updated` and `Android_Version` from the DataFrame. We will not use these columns."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "t7EMSKAOnyzI",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 310
        },
        "outputId": "9dd83223-10df-4853-ad36-5d824ef7130b"
      },
      "source": [
        "df_apps.drop(['Last_Updated', 'Android_Ver'], axis=1, inplace=True)\n",
        "df_apps.head()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                            App         Category  Rating  \\\n",
              "0                       Ak Parti Yardım Toplama           SOCIAL     NaN   \n",
              "1                    Ain Arabic Kids Alif Ba ta           FAMILY     NaN   \n",
              "2  Popsicle Launcher for Android P 9.0 launcher  PERSONALIZATION     NaN   \n",
              "3                     Command & Conquer: Rivals           FAMILY     NaN   \n",
              "4                                    CX Network         BUSINESS     NaN   \n",
              "\n",
              "   Reviews  Size_MBs Installs  Type   Price Content_Rating           Genres  \n",
              "0        0      8.70        0  Paid  $13.99           Teen           Social  \n",
              "1        0     33.00        0  Paid   $2.99       Everyone        Education  \n",
              "2        0      5.50        0  Paid   $1.49       Everyone  Personalization  \n",
              "3        0     19.00        0   NaN       0   Everyone 10+         Strategy  \n",
              "4        0     10.00        0  Free       0       Everyone         Business  "
            ],
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_apps",
              "summary": "{\n  \"name\": \"df_apps\",\n  \"rows\": 10841,\n  \"fields\": [\n    {\n      \"column\": \"App\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 9660,\n        \"samples\": [\n          \"Tech CU Mobile Banking\",\n          \"Weather by WeatherBug: Forecast, Radar & Alerts\",\n          \"How To Get Your Ex Back Fast\"\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          \"EDUCATION\",\n          \"FOOD_AND_DRINK\",\n          \"LIBRARIES_AND_DEMO\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.515735240579464,\n        \"min\": 1.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 39,\n        \"samples\": [\n          1.8,\n          1.2,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Reviews\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2927628,\n        \"min\": 0,\n        \"max\": 78158306,\n        \"num_unique_values\": 6001,\n        \"samples\": [\n          5985,\n          337752,\n          138\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size_MBs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 21.404353686899903,\n        \"min\": 0.00830078125,\n        \"max\": 100.0,\n        \"num_unique_values\": 471,\n        \"samples\": [\n          1.8,\n          2.5,\n          2.9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Installs\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 20,\n        \"samples\": [\n          \"0\",\n          \"100,000,000\",\n          \"10,000,000\"\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          \"Free\",\n          \"Paid\"\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          \"$7.99\",\n          \"$3.04\"\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          \"Teen\",\n          \"Everyone\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 119,\n        \"samples\": [\n          \"Music\",\n          \"Puzzle;Education\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YQGe1DIKdiUM"
      },
      "source": [
        "### Find and Remove NaN values in Ratings\n",
        "\n",
        "**Challenge**: How may rows have a NaN value (not-a-number) in the Ratings column? Create DataFrame called `df_apps_clean` that does not include these rows."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "grcP1IOZn1Wv",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 327
        },
        "outputId": "19e9dc53-c86b-425a-9221-16105e6d4ab9"
      },
      "source": [
        "# df_apps.Rating.isna().values.sum()\n",
        "nan_rows = df_apps[df_apps.Rating.isna()]\n",
        "print(nan_rows.shape)\n",
        "nan_rows.head()"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(1474, 10)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
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              "                                            App         Category  Rating  \\\n",
              "0                       Ak Parti Yardım Toplama           SOCIAL     NaN   \n",
              "1                    Ain Arabic Kids Alif Ba ta           FAMILY     NaN   \n",
              "2  Popsicle Launcher for Android P 9.0 launcher  PERSONALIZATION     NaN   \n",
              "3                     Command & Conquer: Rivals           FAMILY     NaN   \n",
              "4                                    CX Network         BUSINESS     NaN   \n",
              "\n",
              "   Reviews  Size_MBs Installs  Type   Price Content_Rating           Genres  \n",
              "0        0      8.70        0  Paid  $13.99           Teen           Social  \n",
              "1        0     33.00        0  Paid   $2.99       Everyone        Education  \n",
              "2        0      5.50        0  Paid   $1.49       Everyone  Personalization  \n",
              "3        0     19.00        0   NaN       0   Everyone 10+         Strategy  \n",
              "4        0     10.00        0  Free       0       Everyone         Business  "
            ],
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              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </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-153d9959-fd3a-4278-b475-d2644645ebbd 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-153d9959-fd3a-4278-b475-d2644645ebbd');\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",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-66f931cd-8445-422d-aec5-66d8028ce031\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-66f931cd-8445-422d-aec5-66d8028ce031')\"\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",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </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-66f931cd-8445-422d-aec5-66d8028ce031 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": "nan_rows",
              "summary": "{\n  \"name\": \"nan_rows\",\n  \"rows\": 1474,\n  \"fields\": [\n    {\n      \"column\": \"App\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1464,\n        \"samples\": [\n          \"ABAI CE Scanner\",\n          \"SKIN BK\",\n          \"Tenh Ey\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 32,\n        \"samples\": [\n          \"BEAUTY\",\n          \"FOOD_AND_DRINK\",\n          \"VIDEO_PLAYERS\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": null,\n        \"min\": null,\n        \"max\": null,\n        \"num_unique_values\": 0,\n        \"samples\": [],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Reviews\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 139,\n        \"min\": 0,\n        \"max\": 3248,\n        \"num_unique_values\": 100,\n        \"samples\": [],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size_MBs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.73331617529941,\n        \"min\": 0.017578125,\n        \"max\": 99.0,\n        \"num_unique_values\": 226,\n        \"samples\": [],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Installs\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 14,\n        \"samples\": [],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Price\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 42,\n        \"samples\": [],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Content_Rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 56,\n        \"samples\": [],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IbQnnPaUn1Pw",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "86b6010c-8088-4a8a-c10d-55be8ae57171"
      },
      "source": [
        "df_apps_clean = df_apps.dropna()\n",
        "df_apps_clean.shape"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(9367, 10)"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pD26SWlxdiUV"
      },
      "source": [
        "### Find and Remove Duplicates\n",
        "\n",
        "**Challenge**: Are there any duplicates in data? Check for duplicates using the [.duplicated()](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.duplicated.html) function. How many entries can you find for the \"Instagram\" app? Use [.drop_duplicates()](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.drop_duplicates.html) to remove any duplicates from `df_apps_clean`.\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lE7X6KG3n5pR",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 174
        },
        "outputId": "d56ffc8b-8013-479a-9a31-c765e19b6a12"
      },
      "source": [
        "df_apps_clean[df_apps_clean.App == 'Instagram']"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             App Category  Rating   Reviews  Size_MBs       Installs  Type  \\\n",
              "10806  Instagram   SOCIAL    4.50  66577313      5.30  1,000,000,000  Free   \n",
              "10808  Instagram   SOCIAL    4.50  66577446      5.30  1,000,000,000  Free   \n",
              "10809  Instagram   SOCIAL    4.50  66577313      5.30  1,000,000,000  Free   \n",
              "10810  Instagram   SOCIAL    4.50  66509917      5.30  1,000,000,000  Free   \n",
              "\n",
              "      Price Content_Rating  Genres  \n",
              "10806     0           Teen  Social  \n",
              "10808     0           Teen  Social  \n",
              "10809     0           Teen  Social  \n",
              "10810     0           Teen  Social  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-eeb4de6f-5ec2-431d-8f61-4b027acafdf0\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
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              "        vertical-align: top;\n",
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              "\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>App</th>\n",
              "      <th>Category</th>\n",
              "      <th>Rating</th>\n",
              "      <th>Reviews</th>\n",
              "      <th>Size_MBs</th>\n",
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              "      <th>Type</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>10806</th>\n",
              "      <td>Instagram</td>\n",
              "      <td>SOCIAL</td>\n",
              "      <td>4.50</td>\n",
              "      <td>66577313</td>\n",
              "      <td>5.30</td>\n",
              "      <td>1,000,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Social</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10808</th>\n",
              "      <td>Instagram</td>\n",
              "      <td>SOCIAL</td>\n",
              "      <td>4.50</td>\n",
              "      <td>66577446</td>\n",
              "      <td>5.30</td>\n",
              "      <td>1,000,000,000</td>\n",
              "      <td>Free</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>10809</th>\n",
              "      <td>Instagram</td>\n",
              "      <td>SOCIAL</td>\n",
              "      <td>4.50</td>\n",
              "      <td>66577313</td>\n",
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              "      <td>1,000,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Social</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10810</th>\n",
              "      <td>Instagram</td>\n",
              "      <td>SOCIAL</td>\n",
              "      <td>4.50</td>\n",
              "      <td>66509917</td>\n",
              "      <td>5.30</td>\n",
              "      <td>1,000,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Social</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-eeb4de6f-5ec2-431d-8f61-4b027acafdf0')\"\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-eeb4de6f-5ec2-431d-8f61-4b027acafdf0 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-eeb4de6f-5ec2-431d-8f61-4b027acafdf0');\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",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-cab9bc7d-9b4a-43a0-87ab-b84f101cbade\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-cab9bc7d-9b4a-43a0-87ab-b84f101cbade')\"\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",
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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-cab9bc7d-9b4a-43a0-87ab-b84f101cbade 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",
              "summary": "{\n  \"name\": \"df_apps_clean[df_apps_clean\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"App\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Instagram\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"SOCIAL\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 4.5,\n        \"max\": 4.5,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          4.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Reviews\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 33720,\n        \"min\": 66509917,\n        \"max\": 66577446,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          66577313\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size_MBs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 5.3,\n        \"max\": 5.3,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          5.3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Installs\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"1,000,000,000\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Free\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Price\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"0\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Content_Rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Teen\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Social\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GK2rP7wgn53-"
      },
      "source": [
        "df_apps_clean = df_apps_clean.drop_duplicates()"
      ],
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Wtt09kiRn6GS",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "outputId": "15fed728-6676-416b-8627-1bfda779f95b"
      },
      "source": [
        "df_apps_clean[df_apps_clean.App == 'Instagram']"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             App Category  Rating   Reviews  Size_MBs       Installs  Type  \\\n",
              "10806  Instagram   SOCIAL    4.50  66577313      5.30  1,000,000,000  Free   \n",
              "10808  Instagram   SOCIAL    4.50  66577446      5.30  1,000,000,000  Free   \n",
              "10810  Instagram   SOCIAL    4.50  66509917      5.30  1,000,000,000  Free   \n",
              "\n",
              "      Price Content_Rating  Genres  \n",
              "10806     0           Teen  Social  \n",
              "10808     0           Teen  Social  \n",
              "10810     0           Teen  Social  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-f3f39ef6-e8c6-4ef8-8343-a35ebe297613\" class=\"colab-df-container\">\n",
              "    <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",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>App</th>\n",
              "      <th>Category</th>\n",
              "      <th>Rating</th>\n",
              "      <th>Reviews</th>\n",
              "      <th>Size_MBs</th>\n",
              "      <th>Installs</th>\n",
              "      <th>Type</th>\n",
              "      <th>Price</th>\n",
              "      <th>Content_Rating</th>\n",
              "      <th>Genres</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>10806</th>\n",
              "      <td>Instagram</td>\n",
              "      <td>SOCIAL</td>\n",
              "      <td>4.50</td>\n",
              "      <td>66577313</td>\n",
              "      <td>5.30</td>\n",
              "      <td>1,000,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Social</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10808</th>\n",
              "      <td>Instagram</td>\n",
              "      <td>SOCIAL</td>\n",
              "      <td>4.50</td>\n",
              "      <td>66577446</td>\n",
              "      <td>5.30</td>\n",
              "      <td>1,000,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Social</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10810</th>\n",
              "      <td>Instagram</td>\n",
              "      <td>SOCIAL</td>\n",
              "      <td>4.50</td>\n",
              "      <td>66509917</td>\n",
              "      <td>5.30</td>\n",
              "      <td>1,000,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Social</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-f3f39ef6-e8c6-4ef8-8343-a35ebe297613')\"\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-f3f39ef6-e8c6-4ef8-8343-a35ebe297613 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-f3f39ef6-e8c6-4ef8-8343-a35ebe297613');\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",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-4a991ac7-0e01-42c7-9e5a-6643aeb751b0\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-4a991ac7-0e01-42c7-9e5a-6643aeb751b0')\"\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-4a991ac7-0e01-42c7-9e5a-6643aeb751b0 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
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              "summary": "{\n  \"name\": \"df_apps_clean[df_apps_clean\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"App\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Instagram\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"SOCIAL\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 4.5,\n        \"max\": 4.5,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          4.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Reviews\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 38949,\n        \"min\": 66509917,\n        \"max\": 66577446,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          66577313\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size_MBs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 5.3,\n        \"max\": 5.3,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          5.3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Installs\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"1,000,000,000\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Free\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Price\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"0\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Content_Rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Teen\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Social\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
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      ]
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    {
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          "height": 80
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        "outputId": "e7197002-0e26-4493-b168-56172a7aee39"
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      "source": [
        "df_apps_clean = df_apps_clean.drop_duplicates(subset=['App', 'Type', 'Price'])\n",
        "df_apps_clean[df_apps_clean.App == 'Instagram']"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             App Category  Rating   Reviews  Size_MBs       Installs  Type  \\\n",
              "10806  Instagram   SOCIAL    4.50  66577313      5.30  1,000,000,000  Free   \n",
              "\n",
              "      Price Content_Rating  Genres  \n",
              "10806     0           Teen  Social  "
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              "type": "dataframe",
              "summary": "{\n  \"name\": \"df_apps_clean[df_apps_clean\",\n  \"rows\": 1,\n  \"fields\": [\n    {\n      \"column\": \"App\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Instagram\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"SOCIAL\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": null,\n        \"min\": 4.5,\n        \"max\": 4.5,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          4.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Reviews\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": null,\n        \"min\": 66577313,\n        \"max\": 66577313,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          66577313\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size_MBs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": null,\n        \"min\": 5.3,\n        \"max\": 5.3,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          5.3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Installs\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"1,000,000,000\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Type\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Free\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Price\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"0\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Content_Rating\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Teen\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Social\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AagS_wgWn5ib",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d2659342-50f3-427a-f783-4e562fddec18"
      },
      "source": [
        "df_apps_clean.shape"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(8199, 10)"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GJrM69CfdiUh"
      },
      "source": [
        "# Find Highest Rated Apps\n",
        "\n",
        "**Challenge**: Identify which apps are the highest rated. What problem might you encounter if you rely exclusively on ratings alone to determine the quality of an app?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rp7vFHBMn7st",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 223
        },
        "outputId": "9e32c3e1-3e31-4390-b1b2-d572153af2ab"
      },
      "source": [
        "df_apps_clean.sort_values('Rating', ascending=False).head()"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                      App     Category  Rating  Reviews  Size_MBs Installs  \\\n",
              "21    KBA-EZ Health Guide      MEDICAL    5.00        4     25.00        1   \n",
              "1230         Sway Medical      MEDICAL    5.00        3     22.00      100   \n",
              "1227    AJ Men's Grooming    LIFESTYLE    5.00        2     22.00      100   \n",
              "1224       FK Dedinje BGD       SPORTS    5.00       36      2.60      100   \n",
              "1223      CB VIDEO VISION  PHOTOGRAPHY    5.00       13      2.60      100   \n",
              "\n",
              "      Type Price Content_Rating       Genres  \n",
              "21    Free     0       Everyone      Medical  \n",
              "1230  Free     0       Everyone      Medical  \n",
              "1227  Free     0       Everyone    Lifestyle  \n",
              "1224  Free     0       Everyone       Sports  \n",
              "1223  Free     0       Everyone  Photography  "
            ],
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              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
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              "\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",
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              "    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",
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              "\n",
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              "    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-88e0c66a-5977-4be4-baa5-c9f4c9901e12 button');\n",
              "      quickchartButtonEl.style.display =\n",
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              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df_apps_clean\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"App\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Sway Medical\",\n          \"CB VIDEO VISION\",\n          \"AJ Men's Grooming\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"LIFESTYLE\",\n          \"PHOTOGRAPHY\",\n          \"MEDICAL\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 5.0,\n        \"max\": 5.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          5.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Reviews\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14,\n        \"min\": 2,\n        \"max\": 36,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size_MBs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 11.240462623931455,\n        \"min\": 2.6,\n        \"max\": 25.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          25.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Installs\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"100\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Free\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Price\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"0\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Content_Rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Everyone\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Lifestyle\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "28o1Tro4diUi"
      },
      "source": [
        "# Find 5 Largest Apps in terms of Size (MBs)\n",
        "\n",
        "**Challenge**: What's the size in megabytes (MB) of the largest Android apps in the Google Play Store. Based on the data, do you think there could be limit in place or can developers make apps as large as they please?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "n5r0pJCOn9Vu",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "988665f7-2ee4-4902-e772-1d822f62bb48"
      },
      "source": [
        "df_apps_clean.sort_values('Size_MBs', ascending=False).head(50)"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                                     App            Category  \\\n",
              "9942                      Talking Babsy Baby: Baby Games           LIFESTYLE   \n",
              "10687                             Hungry Shark Evolution                GAME   \n",
              "9943                               Miami crime simulator                GAME   \n",
              "9944                        Gangster Town: Vice District              FAMILY   \n",
              "3144                                          Vi Trainer  HEALTH_AND_FITNESS   \n",
              "9945                                     Ultimate Tennis              SPORTS   \n",
              "7926                                           Post Bank             FINANCE   \n",
              "7927                         The Walking Dead: Our World                GAME   \n",
              "7928                       Stickman Legends: Shadow Wars                GAME   \n",
              "4176    Car Crash III Beam DH Real Damage Simulator 2018                GAME   \n",
              "1795                                Navi Radiography Pro             MEDICAL   \n",
              "8719                          Draft Simulator for FUT 18              SPORTS   \n",
              "8718                   Mini Golf King - Multiplayer Game                GAME   \n",
              "10295                                    SimCity BuildIt              FAMILY   \n",
              "9975                      Angry Birds POP Bubble Shooter              FAMILY   \n",
              "6416   Xtreme Racing 2018 - Jeep & 4x4 off road simul...              FAMILY   \n",
              "10297                                      Earn to Die 2                GAME   \n",
              "4694                                    Chakra Cleansing  LIBRARIES_AND_DEMO   \n",
              "9962   Miraculous Ladybug & Cat Noir - The Official Game                GAME   \n",
              "5848                         Five Nights at Freddy's: SL                GAME   \n",
              "9972                          PJ Masks: Moonlight Heroes              FAMILY   \n",
              "9971                                Rope Hero: Vice Town                GAME   \n",
              "9963                                         Idle Heroes                GAME   \n",
              "9965                      Arena of Valor: 5v5 Arena Game                GAME   \n",
              "9966                         Kill Shot Bravo: Sniper FPS                GAME   \n",
              "3149                                        AI Benchmark               TOOLS   \n",
              "9967                       Guns of Boom - Online Shooter                GAME   \n",
              "9968                               Miami Crime Vice Town                GAME   \n",
              "9970              Eyes - The Scary Horror Game Adventure                GAME   \n",
              "9974                                   Angry Birds Blast              FAMILY   \n",
              "3148                                            BK Dinos              FAMILY   \n",
              "10299                              Vegas Crime Simulator              FAMILY   \n",
              "10696                                  My Talking Angela                GAME   \n",
              "8736                                        Hero Hunters                GAME   \n",
              "8737                               Lineage 2: Revolution                GAME   \n",
              "8738                                       Gangster Town                GAME   \n",
              "7956                                       Robocar X Ray                GAME   \n",
              "7957   League of Stickman 2018- Ninja Arena PVP(Dream...                GAME   \n",
              "7958                 LA Stories 4 New Order Sandbox 2018                GAME   \n",
              "7959                   L.A. Crime Stories Mad City Crime                GAME   \n",
              "7960                                 Exiled Kingdoms RPG              FAMILY   \n",
              "8739                                         Rope Hero 3                GAME   \n",
              "10699                          Mobile Legends: Bang Bang                GAME   \n",
              "2587                                        BZ Zombie VR                GAME   \n",
              "2588                                            J.ME Fly              FAMILY   \n",
              "4642                                   Mozart Baby Sleep           PARENTING   \n",
              "5730                                              Z City              FAMILY   \n",
              "8667                              Last Shelter: Survival                GAME   \n",
              "9858                                          Tank Stars                GAME   \n",
              "9859                                     Bejeweled Blitz              FAMILY   \n",
              "\n",
              "       Rating  Reviews  Size_MBs     Installs  Type   Price Content_Rating  \\\n",
              "9942     4.00   140995    100.00   10,000,000  Free       0       Everyone   \n",
              "10687    4.50  6074334    100.00  100,000,000  Free       0           Teen   \n",
              "9943     4.00   254518    100.00   10,000,000  Free       0     Mature 17+   \n",
              "9944     4.30    65146    100.00   10,000,000  Free       0     Mature 17+   \n",
              "3144     3.60      124    100.00        5,000  Free       0       Everyone   \n",
              "9945     4.30   183004    100.00   10,000,000  Free       0       Everyone   \n",
              "7926     4.50    60449    100.00    1,000,000  Free       0       Everyone   \n",
              "7927     4.00    22435    100.00    1,000,000  Free       0           Teen   \n",
              "7928     4.40    38419    100.00    1,000,000  Paid   $0.99   Everyone 10+   \n",
              "4176     3.60      151    100.00       10,000  Free       0       Everyone   \n",
              "1795     4.70       11    100.00          500  Paid  $15.99       Everyone   \n",
              "8719     4.60   162933    100.00    5,000,000  Free       0       Everyone   \n",
              "8718     4.50   531458    100.00    5,000,000  Free       0       Everyone   \n",
              "10295    4.50  4218587    100.00   50,000,000  Free       0   Everyone 10+   \n",
              "9975     4.50   596628     99.00   10,000,000  Free       0       Everyone   \n",
              "6416     4.20     2178     99.00      500,000  Free       0       Everyone   \n",
              "10297    4.60  1327265     99.00   50,000,000  Free       0           Teen   \n",
              "4694     4.60      539     99.00       50,000  Free       0       Everyone   \n",
              "9962     4.50   183846     99.00   10,000,000  Free       0       Everyone   \n",
              "5848     4.50    16162     99.00      100,000  Paid   $2.99           Teen   \n",
              "9972     4.40    86961     99.00   10,000,000  Free       0       Everyone   \n",
              "9971     4.40   452589     99.00   10,000,000  Free       0     Mature 17+   \n",
              "9963     4.70   416540     99.00   10,000,000  Free       0   Everyone 10+   \n",
              "9965     4.40   438911     99.00   10,000,000  Free       0           Teen   \n",
              "9966     4.40   579519     99.00   10,000,000  Free       0     Mature 17+   \n",
              "3149     4.00       97     99.00        5,000  Free       0       Everyone   \n",
              "9967     4.60  1226514     99.00   10,000,000  Free       0           Teen   \n",
              "9968     4.10   154519     99.00   10,000,000  Free       0     Mature 17+   \n",
              "9970     4.40   499483     99.00   10,000,000  Free       0           Teen   \n",
              "9974     4.60   253115     99.00   10,000,000  Free       0       Everyone   \n",
              "3148     4.40       30     99.00        5,000  Free       0       Everyone   \n",
              "10299    4.20   721646     99.00   50,000,000  Free       0           Teen   \n",
              "10696    4.50  9881829     99.00  100,000,000  Free       0       Everyone   \n",
              "8736     4.40    70747     99.00    5,000,000  Free       0           Teen   \n",
              "8737     4.20   187972     99.00    5,000,000  Free       0           Teen   \n",
              "8738     4.10    74842     99.00    5,000,000  Free       0           Teen   \n",
              "7956     4.50     3432     99.00    1,000,000  Free       0     Mature 17+   \n",
              "7957     4.40    32496     99.00    1,000,000  Paid   $0.99           Teen   \n",
              "7958     4.20    17453     99.00    1,000,000  Free       0     Mature 17+   \n",
              "7959     4.00    30008     99.00    1,000,000  Free       0     Mature 17+   \n",
              "7960     4.60    49210     99.00    1,000,000  Free       0   Everyone 10+   \n",
              "8739     4.40    45871     99.00    5,000,000  Free       0           Teen   \n",
              "10699    4.40  8219586     99.00  100,000,000  Free       0           Teen   \n",
              "2587     4.40       12     98.00        1,000  Free       0     Mature 17+   \n",
              "2588     3.90       28     98.00        1,000  Free       0       Everyone   \n",
              "4642     4.70      107     98.00       50,000  Free       0           Teen   \n",
              "5730     4.30     3976     98.00      100,000  Free       0           Teen   \n",
              "8667     4.40    93033     98.00    5,000,000  Free       0           Teen   \n",
              "9858     4.30   174755     98.00   10,000,000  Free       0   Everyone 10+   \n",
              "9859     4.20   222664     98.00   10,000,000  Free       0       Everyone   \n",
              "\n",
              "                          Genres  \n",
              "9942      Lifestyle;Pretend Play  \n",
              "10687                     Arcade  \n",
              "9943                      Action  \n",
              "9944                  Simulation  \n",
              "3144            Health & Fitness  \n",
              "9945                      Sports  \n",
              "7926                     Finance  \n",
              "7927                      Action  \n",
              "7928                      Action  \n",
              "4176                      Racing  \n",
              "1795                     Medical  \n",
              "8719                      Sports  \n",
              "8718                      Sports  \n",
              "10295                 Simulation  \n",
              "9975                      Casual  \n",
              "6416   Racing;Action & Adventure  \n",
              "10297                     Racing  \n",
              "4694            Libraries & Demo  \n",
              "9962                      Action  \n",
              "5848                      Action  \n",
              "9972   Casual;Action & Adventure  \n",
              "9971                      Action  \n",
              "9963                Role Playing  \n",
              "9965                      Action  \n",
              "9966                      Action  \n",
              "3149                       Tools  \n",
              "9967                      Action  \n",
              "9968                      Action  \n",
              "9970                   Adventure  \n",
              "9974                      Puzzle  \n",
              "3148               Entertainment  \n",
              "10299                 Simulation  \n",
              "10696                     Casual  \n",
              "8736                      Action  \n",
              "8737                Role Playing  \n",
              "8738                      Action  \n",
              "7956                      Action  \n",
              "7957                      Action  \n",
              "7958                      Racing  \n",
              "7959                      Racing  \n",
              "7960                Role Playing  \n",
              "8739                      Action  \n",
              "10699                     Action  \n",
              "2587                      Action  \n",
              "2588               Entertainment  \n",
              "4642                   Parenting  \n",
              "5730                    Strategy  \n",
              "8667                    Strategy  \n",
              "9858                      Arcade  \n",
              "9859                      Puzzle  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-35ab6eff-46f4-47d7-be44-4727f30eb86e\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>App</th>\n",
              "      <th>Category</th>\n",
              "      <th>Rating</th>\n",
              "      <th>Reviews</th>\n",
              "      <th>Size_MBs</th>\n",
              "      <th>Installs</th>\n",
              "      <th>Type</th>\n",
              "      <th>Price</th>\n",
              "      <th>Content_Rating</th>\n",
              "      <th>Genres</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>9942</th>\n",
              "      <td>Talking Babsy Baby: Baby Games</td>\n",
              "      <td>LIFESTYLE</td>\n",
              "      <td>4.00</td>\n",
              "      <td>140995</td>\n",
              "      <td>100.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Lifestyle;Pretend Play</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10687</th>\n",
              "      <td>Hungry Shark Evolution</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.50</td>\n",
              "      <td>6074334</td>\n",
              "      <td>100.00</td>\n",
              "      <td>100,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Arcade</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9943</th>\n",
              "      <td>Miami crime simulator</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.00</td>\n",
              "      <td>254518</td>\n",
              "      <td>100.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Mature 17+</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9944</th>\n",
              "      <td>Gangster Town: Vice District</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.30</td>\n",
              "      <td>65146</td>\n",
              "      <td>100.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Mature 17+</td>\n",
              "      <td>Simulation</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3144</th>\n",
              "      <td>Vi Trainer</td>\n",
              "      <td>HEALTH_AND_FITNESS</td>\n",
              "      <td>3.60</td>\n",
              "      <td>124</td>\n",
              "      <td>100.00</td>\n",
              "      <td>5,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Health &amp; Fitness</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9945</th>\n",
              "      <td>Ultimate Tennis</td>\n",
              "      <td>SPORTS</td>\n",
              "      <td>4.30</td>\n",
              "      <td>183004</td>\n",
              "      <td>100.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Sports</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7926</th>\n",
              "      <td>Post Bank</td>\n",
              "      <td>FINANCE</td>\n",
              "      <td>4.50</td>\n",
              "      <td>60449</td>\n",
              "      <td>100.00</td>\n",
              "      <td>1,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Finance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7927</th>\n",
              "      <td>The Walking Dead: Our World</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.00</td>\n",
              "      <td>22435</td>\n",
              "      <td>100.00</td>\n",
              "      <td>1,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7928</th>\n",
              "      <td>Stickman Legends: Shadow Wars</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.40</td>\n",
              "      <td>38419</td>\n",
              "      <td>100.00</td>\n",
              "      <td>1,000,000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>$0.99</td>\n",
              "      <td>Everyone 10+</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4176</th>\n",
              "      <td>Car Crash III Beam DH Real Damage Simulator 2018</td>\n",
              "      <td>GAME</td>\n",
              "      <td>3.60</td>\n",
              "      <td>151</td>\n",
              "      <td>100.00</td>\n",
              "      <td>10,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Racing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1795</th>\n",
              "      <td>Navi Radiography Pro</td>\n",
              "      <td>MEDICAL</td>\n",
              "      <td>4.70</td>\n",
              "      <td>11</td>\n",
              "      <td>100.00</td>\n",
              "      <td>500</td>\n",
              "      <td>Paid</td>\n",
              "      <td>$15.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Medical</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8719</th>\n",
              "      <td>Draft Simulator for FUT 18</td>\n",
              "      <td>SPORTS</td>\n",
              "      <td>4.60</td>\n",
              "      <td>162933</td>\n",
              "      <td>100.00</td>\n",
              "      <td>5,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Sports</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8718</th>\n",
              "      <td>Mini Golf King - Multiplayer Game</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.50</td>\n",
              "      <td>531458</td>\n",
              "      <td>100.00</td>\n",
              "      <td>5,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Sports</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10295</th>\n",
              "      <td>SimCity BuildIt</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.50</td>\n",
              "      <td>4218587</td>\n",
              "      <td>100.00</td>\n",
              "      <td>50,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone 10+</td>\n",
              "      <td>Simulation</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9975</th>\n",
              "      <td>Angry Birds POP Bubble Shooter</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.50</td>\n",
              "      <td>596628</td>\n",
              "      <td>99.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Casual</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6416</th>\n",
              "      <td>Xtreme Racing 2018 - Jeep &amp; 4x4 off road simul...</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.20</td>\n",
              "      <td>2178</td>\n",
              "      <td>99.00</td>\n",
              "      <td>500,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Racing;Action &amp; Adventure</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10297</th>\n",
              "      <td>Earn to Die 2</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.60</td>\n",
              "      <td>1327265</td>\n",
              "      <td>99.00</td>\n",
              "      <td>50,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Racing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4694</th>\n",
              "      <td>Chakra Cleansing</td>\n",
              "      <td>LIBRARIES_AND_DEMO</td>\n",
              "      <td>4.60</td>\n",
              "      <td>539</td>\n",
              "      <td>99.00</td>\n",
              "      <td>50,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Libraries &amp; Demo</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9962</th>\n",
              "      <td>Miraculous Ladybug &amp; Cat Noir - The Official Game</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.50</td>\n",
              "      <td>183846</td>\n",
              "      <td>99.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5848</th>\n",
              "      <td>Five Nights at Freddy's: SL</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.50</td>\n",
              "      <td>16162</td>\n",
              "      <td>99.00</td>\n",
              "      <td>100,000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>$2.99</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9972</th>\n",
              "      <td>PJ Masks: Moonlight Heroes</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.40</td>\n",
              "      <td>86961</td>\n",
              "      <td>99.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Casual;Action &amp; Adventure</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9971</th>\n",
              "      <td>Rope Hero: Vice Town</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.40</td>\n",
              "      <td>452589</td>\n",
              "      <td>99.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Mature 17+</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9963</th>\n",
              "      <td>Idle Heroes</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.70</td>\n",
              "      <td>416540</td>\n",
              "      <td>99.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone 10+</td>\n",
              "      <td>Role Playing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9965</th>\n",
              "      <td>Arena of Valor: 5v5 Arena Game</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.40</td>\n",
              "      <td>438911</td>\n",
              "      <td>99.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9966</th>\n",
              "      <td>Kill Shot Bravo: Sniper FPS</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.40</td>\n",
              "      <td>579519</td>\n",
              "      <td>99.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Mature 17+</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3149</th>\n",
              "      <td>AI Benchmark</td>\n",
              "      <td>TOOLS</td>\n",
              "      <td>4.00</td>\n",
              "      <td>97</td>\n",
              "      <td>99.00</td>\n",
              "      <td>5,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Tools</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9967</th>\n",
              "      <td>Guns of Boom - Online Shooter</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.60</td>\n",
              "      <td>1226514</td>\n",
              "      <td>99.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9968</th>\n",
              "      <td>Miami Crime Vice Town</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.10</td>\n",
              "      <td>154519</td>\n",
              "      <td>99.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Mature 17+</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9970</th>\n",
              "      <td>Eyes - The Scary Horror Game Adventure</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.40</td>\n",
              "      <td>499483</td>\n",
              "      <td>99.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Adventure</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9974</th>\n",
              "      <td>Angry Birds Blast</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.60</td>\n",
              "      <td>253115</td>\n",
              "      <td>99.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Puzzle</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3148</th>\n",
              "      <td>BK Dinos</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.40</td>\n",
              "      <td>30</td>\n",
              "      <td>99.00</td>\n",
              "      <td>5,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Entertainment</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10299</th>\n",
              "      <td>Vegas Crime Simulator</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.20</td>\n",
              "      <td>721646</td>\n",
              "      <td>99.00</td>\n",
              "      <td>50,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Simulation</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10696</th>\n",
              "      <td>My Talking Angela</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.50</td>\n",
              "      <td>9881829</td>\n",
              "      <td>99.00</td>\n",
              "      <td>100,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Casual</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8736</th>\n",
              "      <td>Hero Hunters</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.40</td>\n",
              "      <td>70747</td>\n",
              "      <td>99.00</td>\n",
              "      <td>5,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8737</th>\n",
              "      <td>Lineage 2: Revolution</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.20</td>\n",
              "      <td>187972</td>\n",
              "      <td>99.00</td>\n",
              "      <td>5,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Role Playing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8738</th>\n",
              "      <td>Gangster Town</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.10</td>\n",
              "      <td>74842</td>\n",
              "      <td>99.00</td>\n",
              "      <td>5,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7956</th>\n",
              "      <td>Robocar X Ray</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.50</td>\n",
              "      <td>3432</td>\n",
              "      <td>99.00</td>\n",
              "      <td>1,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Mature 17+</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7957</th>\n",
              "      <td>League of Stickman 2018- Ninja Arena PVP(Dream...</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.40</td>\n",
              "      <td>32496</td>\n",
              "      <td>99.00</td>\n",
              "      <td>1,000,000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>$0.99</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7958</th>\n",
              "      <td>LA Stories 4 New Order Sandbox 2018</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.20</td>\n",
              "      <td>17453</td>\n",
              "      <td>99.00</td>\n",
              "      <td>1,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Mature 17+</td>\n",
              "      <td>Racing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7959</th>\n",
              "      <td>L.A. Crime Stories Mad City Crime</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.00</td>\n",
              "      <td>30008</td>\n",
              "      <td>99.00</td>\n",
              "      <td>1,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Mature 17+</td>\n",
              "      <td>Racing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7960</th>\n",
              "      <td>Exiled Kingdoms RPG</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.60</td>\n",
              "      <td>49210</td>\n",
              "      <td>99.00</td>\n",
              "      <td>1,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone 10+</td>\n",
              "      <td>Role Playing</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8739</th>\n",
              "      <td>Rope Hero 3</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.40</td>\n",
              "      <td>45871</td>\n",
              "      <td>99.00</td>\n",
              "      <td>5,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10699</th>\n",
              "      <td>Mobile Legends: Bang Bang</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.40</td>\n",
              "      <td>8219586</td>\n",
              "      <td>99.00</td>\n",
              "      <td>100,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2587</th>\n",
              "      <td>BZ Zombie VR</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.40</td>\n",
              "      <td>12</td>\n",
              "      <td>98.00</td>\n",
              "      <td>1,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Mature 17+</td>\n",
              "      <td>Action</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2588</th>\n",
              "      <td>J.ME Fly</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>3.90</td>\n",
              "      <td>28</td>\n",
              "      <td>98.00</td>\n",
              "      <td>1,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Entertainment</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4642</th>\n",
              "      <td>Mozart Baby Sleep</td>\n",
              "      <td>PARENTING</td>\n",
              "      <td>4.70</td>\n",
              "      <td>107</td>\n",
              "      <td>98.00</td>\n",
              "      <td>50,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Parenting</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5730</th>\n",
              "      <td>Z City</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.30</td>\n",
              "      <td>3976</td>\n",
              "      <td>98.00</td>\n",
              "      <td>100,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Strategy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8667</th>\n",
              "      <td>Last Shelter: Survival</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.40</td>\n",
              "      <td>93033</td>\n",
              "      <td>98.00</td>\n",
              "      <td>5,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Strategy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9858</th>\n",
              "      <td>Tank Stars</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.30</td>\n",
              "      <td>174755</td>\n",
              "      <td>98.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone 10+</td>\n",
              "      <td>Arcade</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9859</th>\n",
              "      <td>Bejeweled Blitz</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.20</td>\n",
              "      <td>222664</td>\n",
              "      <td>98.00</td>\n",
              "      <td>10,000,000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df_apps_clean\",\n  \"rows\": 50,\n  \"fields\": [\n    {\n      \"column\": \"App\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 50,\n        \"samples\": [\n          \"SimCity BuildIt\",\n          \"L.A. Crime Stories Mad City Crime\",\n          \"BK Dinos\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 10,\n        \"samples\": [\n          \"TOOLS\",\n          \"GAME\",\n          \"FINANCE\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2538599967682653,\n        \"min\": 3.6,\n        \"max\": 4.7,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          4.1,\n          4.5,\n          4.7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Reviews\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2006675,\n        \"min\": 11,\n        \"max\": 9881829,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          4218587,\n          30008,\n          30\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size_MBs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.639195923462774,\n        \"min\": 98.0,\n        \"max\": 100.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          100.0,\n          99.0,\n          98.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Installs\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 12,\n        \"samples\": [\n          \"100,000\",\n          \"50,000\",\n          \"10,000,000\"\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\": 4,\n        \"samples\": [\n          \"$0.99\",\n          \"$2.99\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Content_Rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Teen\",\n          \"Everyone 10+\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 20,\n        \"samples\": [\n          \"Lifestyle;Pretend Play\",\n          \"Entertainment\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "C3gTckh7diUk"
      },
      "source": [
        "# Find the 5 App with Most Reviews\n",
        "\n",
        "**Challenge**: Which apps have the highest number of reviews? Are there any paid apps among the top 50?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TLt98G0Sn_De",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "outputId": "21cbc63f-bc94-470b-d7b7-60175bf96bb7"
      },
      "source": [
        "df_apps_clean.sort_values('Reviews', ascending=False).head()"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                            App       Category  Rating  \\\n",
              "10805                                  Facebook         SOCIAL    4.10   \n",
              "10785                        WhatsApp Messenger  COMMUNICATION    4.40   \n",
              "10806                                 Instagram         SOCIAL    4.50   \n",
              "10784  Messenger – Text and Video Chat for Free  COMMUNICATION    4.00   \n",
              "10650                            Clash of Clans           GAME    4.60   \n",
              "\n",
              "        Reviews  Size_MBs       Installs  Type Price Content_Rating  \\\n",
              "10805  78158306      5.30  1,000,000,000  Free     0           Teen   \n",
              "10785  69119316      3.50  1,000,000,000  Free     0       Everyone   \n",
              "10806  66577313      5.30  1,000,000,000  Free     0           Teen   \n",
              "10784  56642847      3.50  1,000,000,000  Free     0       Everyone   \n",
              "10650  44891723     98.00    100,000,000  Free     0   Everyone 10+   \n",
              "\n",
              "              Genres  \n",
              "10805         Social  \n",
              "10785  Communication  \n",
              "10806         Social  \n",
              "10784  Communication  \n",
              "10650       Strategy  "
            ],
            "text/html": [
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              "      <td>4.60</td>\n",
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              "      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-bbc3fc96-d95b-45eb-a23f-2e5378d9f351 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-bbc3fc96-d95b-45eb-a23f-2e5378d9f351');\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",
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              "\n",
              "\n",
              "<div id=\"df-4298cc68-0f06-4191-8480-15225b38f099\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-4298cc68-0f06-4191-8480-15225b38f099')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "  </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",
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              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    30% {\n",
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              "      border-top-color: var(--fill-color);\n",
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              "    }\n",
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              "      border-right-color: var(--fill-color);\n",
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              "    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-4298cc68-0f06-4191-8480-15225b38f099 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",
              "summary": "{\n  \"name\": \"df_apps_clean\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"App\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"WhatsApp Messenger\",\n          \"Clash of Clans\",\n          \"Instagram\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"SOCIAL\",\n          \"COMMUNICATION\",\n          \"GAME\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2588435821108957,\n        \"min\": 4.0,\n        \"max\": 4.6,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          4.4,\n          4.6,\n          4.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Reviews\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12730967,\n        \"min\": 44891723,\n        \"max\": 78158306,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          69119316,\n          44891723,\n          66577313\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size_MBs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 41.86886671501869,\n        \"min\": 3.5,\n        \"max\": 98.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          5.3,\n          3.5,\n          98.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Installs\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"100,000,000\",\n          \"1,000,000,000\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Free\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Price\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"0\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Content_Rating\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Teen\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Social\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BFoRqpezjebe"
      },
      "source": [
        "# Plotly Pie and Donut Charts - Visualise Categorical Data: Content Ratings"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c0IIxNGnoFKM",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 303
        },
        "outputId": "5ec51ec4-5fb3-4df1-91b3-23412085b9ce"
      },
      "source": [
        "ratings = df_apps_clean.Content_Rating.value_counts()\n",
        "ratings"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Content_Rating\n",
              "Everyone           6621\n",
              "Teen                912\n",
              "Mature 17+          357\n",
              "Everyone 10+        305\n",
              "Adults only 18+       3\n",
              "Unrated               1\n",
              "Name: count, dtype: int64"
            ],
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Content_Rating</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Everyone</th>\n",
              "      <td>6621</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Teen</th>\n",
              "      <td>912</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mature 17+</th>\n",
              "      <td>357</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Everyone 10+</th>\n",
              "      <td>305</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Adults only 18+</th>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Unrated</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TSiV6ZkjoFVg",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "91d40e7a-ad1a-4ce0-e7f3-61481b3bfcf9"
      },
      "source": [
        "fig = px.pie(labels=ratings.index, values=ratings.values)\n",
        "fig.show()"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
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          "metadata": {}
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      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7kil2mdfoFOr",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "bf02e600-432f-4b89-b876-d9b3bca98b96"
      },
      "source": [
        "fig = px.pie(labels=ratings.index, values=ratings.values, title='Content Rating', names=ratings.index)\n",
        "fig.update_traces(textposition='outside', textinfo='percent+label')\n",
        "fig.show()"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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              "</body>\n",
              "</html>"
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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6ZaHYNy2oFEE",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "6f1f46ad-70d5-4b21-ddbf-b2c50640ff6b"
      },
      "source": [
        "fig = px.pie(labels=ratings.index, values=ratings.values, title='Content Rating', names=ratings.index, hole=0.6)\n",
        "fig.update_traces(textposition='inside', textfont_size=15, textinfo='percent')\n",
        "fig.show()"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RoPpW37xdiUm"
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      "source": [
        "# Numeric Type Conversion: Examine the Number of Installs\n",
        "\n",
        "**Challenge**: How many apps had over 1 billion (that's right - BILLION) installations? How many apps just had a single install?\n",
        "\n",
        "Check the datatype of the Installs column.\n",
        "\n",
        "Count the number of apps at each level of installations.\n",
        "\n",
        "Convert the number of installations (the Installs column) to a numeric data type. Hint: this is a 2-step process. You'll have make sure you remove non-numeric characters first."
      ]
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      "source": [
        "df_apps_clean.Installs.describe()"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "count          8199\n",
              "unique           19\n",
              "top       1,000,000\n",
              "freq           1417\n",
              "Name: Installs, dtype: object"
            ],
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      },
      "source": [
        "df_apps_clean.info()"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Index: 8199 entries, 21 to 10835\n",
            "Data columns (total 10 columns):\n",
            " #   Column          Non-Null Count  Dtype  \n",
            "---  ------          --------------  -----  \n",
            " 0   App             8199 non-null   object \n",
            " 1   Category        8199 non-null   object \n",
            " 2   Rating          8199 non-null   float64\n",
            " 3   Reviews         8199 non-null   int64  \n",
            " 4   Size_MBs        8199 non-null   float64\n",
            " 5   Installs        8199 non-null   object \n",
            " 6   Type            8199 non-null   object \n",
            " 7   Price           8199 non-null   object \n",
            " 8   Content_Rating  8199 non-null   object \n",
            " 9   Genres          8199 non-null   object \n",
            "dtypes: float64(2), int64(1), object(7)\n",
            "memory usage: 704.6+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cFjptR-JoJOE",
        "colab": {
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          "height": 676
        },
        "outputId": "ea418478-2202-477d-fe81-b389abe0f7ba"
      },
      "source": [
        "df_apps_clean[['App', 'Installs']].groupby('Installs').count()"
      ],
      "execution_count": 35,
      "outputs": [
        {
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            "text/plain": [
              "                App\n",
              "Installs           \n",
              "1                 3\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df_apps_clean[['App', 'Installs']]\",\n  \"rows\": 19,\n  \"fields\": [\n    {\n      \"column\": \"Installs\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 19,\n        \"samples\": [\n          \"1\",\n          \"10,000\",\n          \"5,000\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"App\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 423,\n        \"min\": 3,\n        \"max\": 1417,\n        \"num_unique_values\": 19,\n        \"samples\": [\n          3,\n          988,\n          425\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
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          "metadata": {},
          "execution_count": 35
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          "height": 676
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        "outputId": "9a099f50-b302-4f12-e108-414e265ea5cf"
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      "source": [
        "df_apps_clean.Installs = df_apps_clean.Installs.astype(str).str.replace(',', \"\")#Remove the comas\n",
        "df_apps_clean.Installs = pd.to_numeric(df_apps_clean.Installs)#Convert the string of numbers to integer\n",
        "df_apps_clean[['App', 'Installs']].groupby('Installs').count()\n"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             App\n",
              "Installs        \n",
              "1              3\n",
              "5              9\n",
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              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>56</td>\n",
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              "    <tr>\n",
              "      <th>100</th>\n",
              "      <td>303</td>\n",
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              "      <td>199</td>\n",
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              "      <td>698</td>\n",
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              "      <td>425</td>\n",
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              "      <td>607</td>\n",
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              "      <td>933</td>\n",
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              "      <td>189</td>\n",
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              "      <td>24</td>\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df_apps_clean[['App', 'Installs']]\",\n  \"rows\": 19,\n  \"fields\": [\n    {\n      \"column\": \"Installs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 249045670,\n        \"min\": 1,\n        \"max\": 1000000000,\n        \"num_unique_values\": 19,\n        \"samples\": [\n          1,\n          500,\n          500000\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"App\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 423,\n        \"min\": 3,\n        \"max\": 1417,\n        \"num_unique_values\": 19,\n        \"samples\": [\n          3,\n          199,\n          504\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7T4sfNpFdiUv"
      },
      "source": [
        "# Find the Most Expensive Apps, Filter out the Junk, and Calculate a (ballpark) Sales Revenue Estimate\n",
        "\n",
        "Let's examine the Price column more closely.\n",
        "\n",
        "**Challenge**: Convert the price column to numeric data. Then investigate the top 20 most expensive apps in the dataset.\n",
        "\n",
        "Remove all apps that cost more than $250 from the `df_apps_clean` DataFrame.\n",
        "\n",
        "Add a column called 'Revenue_Estimate' to the DataFrame. This column should hold the price of the app times the number of installs. What are the top 10 highest grossing paid apps according to this estimate? Out of the top 10 highest grossing paid apps, how many are games?\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CqhX2WCJoQEp",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 380
        },
        "outputId": "b3eff9c3-fbfa-4d22-ef6d-c36e99a80ee3"
      },
      "source": [
        "df_apps_clean.Price = df_apps_clean.Price.astype(str).str.replace('$', \"\")\n",
        "df_apps_clean.Price = pd.to_numeric(df_apps_clean.Price)\n",
        "\n",
        "df_apps_clean.sort_values('Price', ascending=False).head(10)"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                 App   Category  Rating  Reviews  Size_MBs  \\\n",
              "3946        I'm Rich - Trump Edition  LIFESTYLE    3.60      275      7.30   \n",
              "2461              I AM RICH PRO PLUS    FINANCE    4.00       36     41.00   \n",
              "4606               I Am Rich Premium    FINANCE    4.10     1867      4.70   \n",
              "3145              I am rich(premium)    FINANCE    3.50      472      0.94   \n",
              "3554                      💎 I'm rich  LIFESTYLE    3.80      718     26.00   \n",
              "5765                       I am rich  LIFESTYLE    3.80     3547      1.80   \n",
              "1946  I am rich (Most expensive app)    FINANCE    4.10      129      2.70   \n",
              "2775                   I Am Rich Pro     FAMILY    4.40      201      2.70   \n",
              "3221                  I am Rich Plus     FAMILY    4.00      856      8.70   \n",
              "3114                       I am Rich    FINANCE    4.30      180      3.80   \n",
              "\n",
              "      Installs  Type  Price Content_Rating         Genres  \n",
              "3946     10000  Paid 400.00       Everyone      Lifestyle  \n",
              "2461      1000  Paid 399.99       Everyone        Finance  \n",
              "4606     50000  Paid 399.99       Everyone        Finance  \n",
              "3145      5000  Paid 399.99       Everyone        Finance  \n",
              "3554     10000  Paid 399.99       Everyone      Lifestyle  \n",
              "5765    100000  Paid 399.99       Everyone      Lifestyle  \n",
              "1946      1000  Paid 399.99           Teen        Finance  \n",
              "2775      5000  Paid 399.99       Everyone  Entertainment  \n",
              "3221     10000  Paid 399.99       Everyone  Entertainment  \n",
              "3114      5000  Paid 399.99       Everyone        Finance  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-ed97b898-b361-4946-a7ab-ac9d5ba0aa10\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\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>App</th>\n",
              "      <th>Category</th>\n",
              "      <th>Rating</th>\n",
              "      <th>Reviews</th>\n",
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              "  </thead>\n",
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              "      <th>3946</th>\n",
              "      <td>I'm Rich - Trump Edition</td>\n",
              "      <td>LIFESTYLE</td>\n",
              "      <td>3.60</td>\n",
              "      <td>275</td>\n",
              "      <td>7.30</td>\n",
              "      <td>10000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>400.00</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Lifestyle</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2461</th>\n",
              "      <td>I AM RICH PRO PLUS</td>\n",
              "      <td>FINANCE</td>\n",
              "      <td>4.00</td>\n",
              "      <td>36</td>\n",
              "      <td>41.00</td>\n",
              "      <td>1000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Finance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4606</th>\n",
              "      <td>I Am Rich Premium</td>\n",
              "      <td>FINANCE</td>\n",
              "      <td>4.10</td>\n",
              "      <td>1867</td>\n",
              "      <td>4.70</td>\n",
              "      <td>50000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Finance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3145</th>\n",
              "      <td>I am rich(premium)</td>\n",
              "      <td>FINANCE</td>\n",
              "      <td>3.50</td>\n",
              "      <td>472</td>\n",
              "      <td>0.94</td>\n",
              "      <td>5000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Finance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3554</th>\n",
              "      <td>💎 I'm rich</td>\n",
              "      <td>LIFESTYLE</td>\n",
              "      <td>3.80</td>\n",
              "      <td>718</td>\n",
              "      <td>26.00</td>\n",
              "      <td>10000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Lifestyle</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5765</th>\n",
              "      <td>I am rich</td>\n",
              "      <td>LIFESTYLE</td>\n",
              "      <td>3.80</td>\n",
              "      <td>3547</td>\n",
              "      <td>1.80</td>\n",
              "      <td>100000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Lifestyle</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1946</th>\n",
              "      <td>I am rich (Most expensive app)</td>\n",
              "      <td>FINANCE</td>\n",
              "      <td>4.10</td>\n",
              "      <td>129</td>\n",
              "      <td>2.70</td>\n",
              "      <td>1000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399.99</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Finance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2775</th>\n",
              "      <td>I Am Rich Pro</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.40</td>\n",
              "      <td>201</td>\n",
              "      <td>2.70</td>\n",
              "      <td>5000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Entertainment</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3221</th>\n",
              "      <td>I am Rich Plus</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.00</td>\n",
              "      <td>856</td>\n",
              "      <td>8.70</td>\n",
              "      <td>10000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Entertainment</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3114</th>\n",
              "      <td>I am Rich</td>\n",
              "      <td>FINANCE</td>\n",
              "      <td>4.30</td>\n",
              "      <td>180</td>\n",
              "      <td>3.80</td>\n",
              "      <td>5000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Finance</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
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              "\n",
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              "        document.querySelector('#df-ed97b898-b361-4946-a7ab-ac9d5ba0aa10 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
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              "                                                    [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",
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              "\n",
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              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
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              "    border-radius: 50%;\n",
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              "\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",
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              "\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",
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              "      border-color: transparent;\n",
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              "      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-08b6d505-893e-479c-9cf2-e5154b09bc30 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df_apps_clean\",\n  \"rows\": 10,\n  \"fields\": [\n    {\n      \"column\": \"App\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 10,\n        \"samples\": [\n          \"I am Rich Plus\",\n          \"I AM RICH PRO PLUS\",\n          \"I am rich\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"LIFESTYLE\",\n          \"FINANCE\",\n          \"FAMILY\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.28751811537130434,\n        \"min\": 3.5,\n        \"max\": 4.4,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          3.6,\n          4.0,\n          4.4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Reviews\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1097,\n        \"min\": 36,\n        \"max\": 3547,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          856,\n          36,\n          3547\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size_MBs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 13.116391950151604,\n        \"min\": 0.9423828125,\n        \"max\": 41.0,\n        \"num_unique_values\": 9,\n        \"samples\": [\n          8.7,\n          41.0,\n          1.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Installs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 31615,\n        \"min\": 1000,\n        \"max\": 100000,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          1000,\n          100000,\n          50000\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Paid\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0031622776601655037,\n        \"min\": 399.99,\n        \"max\": 400.0,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          399.99\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Content_Rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Teen\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Lifestyle\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Rgposh-CdiU4"
      },
      "source": [
        "### The most expensive apps sub $250"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c8_n8z8XoUML",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "b094ac43-7f5e-4105-b4ff-957ab7075d9f"
      },
      "source": [
        "df_apps_clean = df_apps_clean[df_apps_clean['Price'] < 250]\n",
        "df_apps_clean.sort_values('Price', ascending=False).head()"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                            App   Category  Rating  Reviews  Size_MBs  \\\n",
              "2281  Vargo Anesthesia Mega App    MEDICAL    4.60       92     32.00   \n",
              "1407               LTC AS Legal    MEDICAL    4.00        6      1.30   \n",
              "2629           I am Rich Person  LIFESTYLE    4.20      134      1.80   \n",
              "2481    A Manual of Acupuncture    MEDICAL    3.50      214     68.00   \n",
              "2463         PTA Content Master    MEDICAL    4.20       64     41.00   \n",
              "\n",
              "      Installs  Type  Price Content_Rating     Genres  \n",
              "2281      1000  Paid  79.99       Everyone    Medical  \n",
              "1407       100  Paid  39.99       Everyone    Medical  \n",
              "2629      1000  Paid  37.99       Everyone  Lifestyle  \n",
              "2481      1000  Paid  33.99       Everyone    Medical  \n",
              "2463      1000  Paid  29.99       Everyone    Medical  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-a25e7326-187e-4e2e-a9fb-644479cda16f\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>App</th>\n",
              "      <th>Category</th>\n",
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              "      <th>Reviews</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2281</th>\n",
              "      <td>Vargo Anesthesia Mega App</td>\n",
              "      <td>MEDICAL</td>\n",
              "      <td>4.60</td>\n",
              "      <td>92</td>\n",
              "      <td>32.00</td>\n",
              "      <td>1000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>79.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Medical</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1407</th>\n",
              "      <td>LTC AS Legal</td>\n",
              "      <td>MEDICAL</td>\n",
              "      <td>4.00</td>\n",
              "      <td>6</td>\n",
              "      <td>1.30</td>\n",
              "      <td>100</td>\n",
              "      <td>Paid</td>\n",
              "      <td>39.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Medical</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2629</th>\n",
              "      <td>I am Rich Person</td>\n",
              "      <td>LIFESTYLE</td>\n",
              "      <td>4.20</td>\n",
              "      <td>134</td>\n",
              "      <td>1.80</td>\n",
              "      <td>1000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>37.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Lifestyle</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2481</th>\n",
              "      <td>A Manual of Acupuncture</td>\n",
              "      <td>MEDICAL</td>\n",
              "      <td>3.50</td>\n",
              "      <td>214</td>\n",
              "      <td>68.00</td>\n",
              "      <td>1000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>33.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Medical</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2463</th>\n",
              "      <td>PTA Content Master</td>\n",
              "      <td>MEDICAL</td>\n",
              "      <td>4.20</td>\n",
              "      <td>64</td>\n",
              "      <td>41.00</td>\n",
              "      <td>1000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>29.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Medical</td>\n",
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              "\n",
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              "      background-color: #E2EBFA;\n",
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              "\n",
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              "      margin-bottom: 4px;\n",
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              "\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",
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              "      buttonEl.style.display =\n",
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              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-a25e7326-187e-4e2e-a9fb-644479cda16f');\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",
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              "            title=\"Suggest charts\"\n",
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              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
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              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
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              "\n",
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              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df_apps_clean\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"App\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"LTC AS Legal\",\n          \"PTA Content Master\",\n          \"I am Rich Person\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"LIFESTYLE\",\n          \"MEDICAL\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3999999999999999,\n        \"min\": 3.5,\n        \"max\": 4.6,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          4.0,\n          3.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Reviews\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 77,\n        \"min\": 6,\n        \"max\": 214,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          6,\n          64\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size_MBs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 28.20003546097061,\n        \"min\": 1.3,\n        \"max\": 68.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          1.3,\n          41.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Installs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 402,\n        \"min\": 100,\n        \"max\": 1000,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          100,\n          1000\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Paid\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 20.268201696253172,\n        \"min\": 29.99,\n        \"max\": 79.99,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          39.99\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Content_Rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Everyone\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Lifestyle\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VGu85CLb4OOH"
      },
      "source": [
        "### Highest Grossing Paid Apps (ballpark estimate)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3mDi45iIoVzE",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 678
        },
        "outputId": "e3bb4630-2271-4124-f72b-3abdb15c480e"
      },
      "source": [
        "df_apps_clean['Revenue_Estimate'] = df_apps_clean.Installs.mul(df_apps_clean.Price)\n",
        "df_apps_clean.sort_values('Revenue_Estimate', ascending=False)[:10]"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                App     Category  Rating  Reviews  Size_MBs  \\\n",
              "9220                      Minecraft       FAMILY    4.50  2376564     19.00   \n",
              "8825                  Hitman Sniper         GAME    4.60   408292     29.00   \n",
              "7151  Grand Theft Auto: San Andreas         GAME    4.40   348962     26.00   \n",
              "7477            Facetune - For Free  PHOTOGRAPHY    4.40    49553     48.00   \n",
              "7977        Sleep as Android Unlock    LIFESTYLE    4.50    23966      0.85   \n",
              "6594            DraStic DS Emulator         GAME    4.60    87766     12.00   \n",
              "6082                   Weather Live      WEATHER    4.50    76593      4.75   \n",
              "7954                    Bloons TD 5       FAMILY    4.60   190086     94.00   \n",
              "7633        Five Nights at Freddy's         GAME    4.60   100805     50.00   \n",
              "6746     Card Wars - Adventure Time       FAMILY    4.30   129603     23.00   \n",
              "\n",
              "      Installs  Type  Price Content_Rating                     Genres  \\\n",
              "9220  10000000  Paid   6.99   Everyone 10+  Arcade;Action & Adventure   \n",
              "8825  10000000  Paid   0.99     Mature 17+                     Action   \n",
              "7151   1000000  Paid   6.99     Mature 17+                     Action   \n",
              "7477   1000000  Paid   5.99       Everyone                Photography   \n",
              "7977   1000000  Paid   5.99       Everyone                  Lifestyle   \n",
              "6594   1000000  Paid   4.99       Everyone                     Action   \n",
              "6082    500000  Paid   5.99       Everyone                    Weather   \n",
              "7954   1000000  Paid   2.99       Everyone                   Strategy   \n",
              "7633   1000000  Paid   2.99           Teen                     Action   \n",
              "6746   1000000  Paid   2.99   Everyone 10+    Card;Action & Adventure   \n",
              "\n",
              "      Revenue_Estimate  \n",
              "9220     69,900,000.00  \n",
              "8825      9,900,000.00  \n",
              "7151      6,990,000.00  \n",
              "7477      5,990,000.00  \n",
              "7977      5,990,000.00  \n",
              "6594      4,990,000.00  \n",
              "6082      2,995,000.00  \n",
              "7954      2,990,000.00  \n",
              "7633      2,990,000.00  \n",
              "6746      2,990,000.00  "
            ],
            "text/html": [
              "\n",
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              "      <th></th>\n",
              "      <th>App</th>\n",
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              "      <th>9220</th>\n",
              "      <td>Minecraft</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.50</td>\n",
              "      <td>2376564</td>\n",
              "      <td>19.00</td>\n",
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              "      <td>6.99</td>\n",
              "      <td>Everyone 10+</td>\n",
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              "      <td>69,900,000.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8825</th>\n",
              "      <td>Hitman Sniper</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.60</td>\n",
              "      <td>408292</td>\n",
              "      <td>29.00</td>\n",
              "      <td>10000000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>0.99</td>\n",
              "      <td>Mature 17+</td>\n",
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              "      <th>7151</th>\n",
              "      <td>Grand Theft Auto: San Andreas</td>\n",
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              "      <td>348962</td>\n",
              "      <td>26.00</td>\n",
              "      <td>1000000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>6.99</td>\n",
              "      <td>Mature 17+</td>\n",
              "      <td>Action</td>\n",
              "      <td>6,990,000.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7477</th>\n",
              "      <td>Facetune - For Free</td>\n",
              "      <td>PHOTOGRAPHY</td>\n",
              "      <td>4.40</td>\n",
              "      <td>49553</td>\n",
              "      <td>48.00</td>\n",
              "      <td>1000000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>5.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Photography</td>\n",
              "      <td>5,990,000.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7977</th>\n",
              "      <td>Sleep as Android Unlock</td>\n",
              "      <td>LIFESTYLE</td>\n",
              "      <td>4.50</td>\n",
              "      <td>23966</td>\n",
              "      <td>0.85</td>\n",
              "      <td>1000000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>5.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Lifestyle</td>\n",
              "      <td>5,990,000.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6594</th>\n",
              "      <td>DraStic DS Emulator</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.60</td>\n",
              "      <td>87766</td>\n",
              "      <td>12.00</td>\n",
              "      <td>1000000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>4.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Action</td>\n",
              "      <td>4,990,000.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6082</th>\n",
              "      <td>Weather Live</td>\n",
              "      <td>WEATHER</td>\n",
              "      <td>4.50</td>\n",
              "      <td>76593</td>\n",
              "      <td>4.75</td>\n",
              "      <td>500000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>5.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Weather</td>\n",
              "      <td>2,995,000.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7954</th>\n",
              "      <td>Bloons TD 5</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.60</td>\n",
              "      <td>190086</td>\n",
              "      <td>94.00</td>\n",
              "      <td>1000000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>2.99</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Strategy</td>\n",
              "      <td>2,990,000.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7633</th>\n",
              "      <td>Five Nights at Freddy's</td>\n",
              "      <td>GAME</td>\n",
              "      <td>4.60</td>\n",
              "      <td>100805</td>\n",
              "      <td>50.00</td>\n",
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              "      <td>Paid</td>\n",
              "      <td>2.99</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Action</td>\n",
              "      <td>2,990,000.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6746</th>\n",
              "      <td>Card Wars - Adventure Time</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.30</td>\n",
              "      <td>129603</td>\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d8d46e35-535e-4caf-9634-4f8989c63b58')\"\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",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </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-d8d46e35-535e-4caf-9634-4f8989c63b58 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",
              "summary": "{\n  \"name\": \"df_apps_clean\",\n  \"rows\": 10,\n  \"fields\": [\n    {\n      \"column\": \"App\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 10,\n        \"samples\": [\n          \"Five Nights at Freddy's\",\n          \"Hitman Sniper\",\n          \"DraStic DS Emulator\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"GAME\",\n          \"WEATHER\",\n          \"PHOTOGRAPHY\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.1054092553389458,\n        \"min\": 4.3,\n        \"max\": 4.6,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          4.6,\n          4.3,\n          4.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Reviews\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 713220,\n        \"min\": 23966,\n        \"max\": 2376564,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          100805,\n          408292,\n          87766\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Size_MBs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 27.51532067361597,\n        \"min\": 0.8515625,\n        \"max\": 94.0,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          50.0,\n          29.0,\n          12.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Installs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3824264,\n        \"min\": 500000,\n        \"max\": 10000000,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          10000000,\n          1000000,\n          500000\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Paid\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.057506581601462,\n        \"min\": 0.99,\n        \"max\": 6.99,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.99\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Content_Rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Mature 17+\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Genres\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 7,\n        \"samples\": [\n          \"Arcade;Action & Adventure\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Revenue_Estimate\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 20618500.76050902,\n        \"min\": 2990000.0,\n        \"max\": 69900000.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          69900000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "dc": {
          "key": "18"
        },
        "run_control": {
          "frozen": true
        },
        "tags": [
          "context"
        ],
        "id": "lvpM2MyTdiU6"
      },
      "source": [
        "# Plotly Bar Charts & Scatter Plots: Analysing App Categories"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3L6hK0aLoYxY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 429
        },
        "outputId": "55ab55cb-f714-4c72-e448-ab2867e57cde"
      },
      "source": [
        "# df_apps_clean.Category.nunique()\n",
        "top10_category = df_apps_clean.Category.value_counts()[:10]\n",
        "top10_category"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Category\n",
              "FAMILY             1606\n",
              "GAME                910\n",
              "TOOLS               719\n",
              "PRODUCTIVITY        301\n",
              "PERSONALIZATION     298\n",
              "LIFESTYLE           297\n",
              "FINANCE             296\n",
              "MEDICAL             292\n",
              "PHOTOGRAPHY         263\n",
              "BUSINESS            262\n",
              "Name: count, dtype: int64"
            ],
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Category</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>FAMILY</th>\n",
              "      <td>1606</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>GAME</th>\n",
              "      <td>910</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TOOLS</th>\n",
              "      <td>719</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PRODUCTIVITY</th>\n",
              "      <td>301</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PERSONALIZATION</th>\n",
              "      <td>298</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LIFESTYLE</th>\n",
              "      <td>297</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>FINANCE</th>\n",
              "      <td>296</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MEDICAL</th>\n",
              "      <td>292</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PHOTOGRAPHY</th>\n",
              "      <td>263</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BUSINESS</th>\n",
              "      <td>262</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0tTurR7qdiU9"
      },
      "source": [
        "### Vertical Bar Chart - Highest Competition (Number of Apps)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SFSMH00AoaMB",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "306c7c2c-ca30-4b3c-a43d-22c78160b7df"
      },
      "source": [
        "bar = px.bar(x=top10_category.index, y=top10_category.values)\n",
        "bar.show()"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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              "<html>\n",
              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
              "    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script charset=\"utf-8\" src=\"https://cdn.plot.ly/plotly-2.24.1.min.js\"></script>                <div id=\"4f149cd1-43da-4124-928e-87f84c649011\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById(\"4f149cd1-43da-4124-928e-87f84c649011\")) {                    Plotly.newPlot(                        \"4f149cd1-43da-4124-928e-87f84c649011\",                        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      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "57mowetLdiU_"
      },
      "source": [
        "### Horizontal Bar Chart - Most Popular Categories (Highest Downloads)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zHO7eTJmocLm"
      },
      "source": [
        "category_installs = df_apps_clean.groupby('Category').agg({'Installs': pd.Series.sum})\n",
        "category_installs.sort_values('Installs', ascending=True, inplace=True)"
      ],
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "h7aUARLtocCy",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "9c04ff93-ce56-4a31-e511-cb87c76aba43"
      },
      "source": [
        "h_bar = px.bar(x=category_installs.Installs, y=category_installs.index, orientation='h', title='Category Popularity')\n",
        "h_bar.show()"
      ],
      "execution_count": 48,
      "outputs": [
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Uxk24qMk8vrz"
      },
      "source": [
        "### Category Concentration - Downloads vs. Competition\n",
        "\n",
        "**Challenge**:\n",
        "* First, create a DataFrame that has the number of apps in one column and the number of installs in another:\n",
        "\n",
        "<img src=https://imgur.com/uQRSlXi.png width=\"350\">\n",
        "\n",
        "* Then use the [plotly express examples from the documentation](https://plotly.com/python/line-and-scatter/) alongside the [.scatter() API reference](https://plotly.com/python-api-reference/generated/plotly.express.scatter.html)to create scatter plot that looks like this.\n",
        "\n",
        "<img src=https://imgur.com/cHsqh6a.png>\n",
        "\n",
        "*Hint*: Use the size, hover_name and color parameters in .scatter(). To scale the yaxis, call .update_layout() and specify that the yaxis should be on a log-scale like so: yaxis=dict(type='log')"
      ]
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          "height": 559
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        "outputId": "99f36eb6-766f-41c1-87ee-3680a3f35034"
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      "source": [
        "category_number = df_apps_clean.groupby('Category').agg({'App': pd.Series.count})\n",
        "\n",
        "category_merged_df = pd.merge(category_number, category_installs, on='Category', how='inner')\n",
        "print(f\"The dimensions of the DataFrame are: {category_merged_df.shape}\")\n",
        "category_merged_df.sort_values('Installs', ascending=False)\n",
        "\n",
        "scatter = px.scatter(category_merged_df, x='App', y='Installs', title='Category Concentration', size='App',\n",
        "                     hover_name=category_merged_df.index, color='Installs')\n",
        "scatter.update_layout(xaxis_title='Number of Apps (Lower=More Concentrated)', yaxis_title='Installs',\n",
        "                      yaxis=dict(type='log'))\n",
        "scatter.show()"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The dimensions of the DataFrame are: (33, 2)\n"
          ]
        },
        {
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    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dmXDF75WdiVC"
      },
      "source": [
        "# Extracting Nested Data from a Column\n",
        "\n",
        "**Challenge**: How many different types of genres are there? Can an app belong to more than one genre? Check what happens when you use .value_counts() on a column with nested values? See if you can work around this problem by using the .split() function and the DataFrame's [.stack() method](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.stack.html).\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3Lo69kS6ogdm",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "411f4375-48b8-406c-fa74-723a16954edd"
      },
      "source": [
        "# len(df_apps_clean.Genres.unique())\n",
        "# df_apps_clean.Genres.value_counts().sort_values(ascending=True)[:5]\n",
        "\n",
        "stack = df_apps_clean.Genres.str.split(';', expand=True).stack()\n",
        "print(f\"We now have a single column with shape: {stack.shape}\")\n",
        "num_genres = stack.value_counts()\n",
        "print(f\"Number of genres: {len(num_genres)}\")"
      ],
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "We now have a single column with shape: (8564,)\n",
            "Number of genres: 53\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "F3zaKvfydiVI"
      },
      "source": [
        "# Colour Scales in Plotly Charts - Competition in Genres"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ucw6RT59diVK"
      },
      "source": [
        "**Challenge**: Can you create this chart with the Series containing the genre data?\n",
        "\n",
        "<img src=https://imgur.com/DbcoQli.png width=400>\n",
        "\n",
        "Try experimenting with the built in colour scales in Plotly. You can find a full list [here](https://plotly.com/python/builtin-colorscales/).\n",
        "\n",
        "* Find a way to set the colour scale using the color_continuous_scale parameter.\n",
        "* Find a way to make the color axis disappear by using coloraxis_showscale."
      ]
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      "cell_type": "code",
      "metadata": {
        "id": "c5xbfMgxojoA",
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          "height": 542
        },
        "outputId": "177fc215-c112-4a2b-b2cb-4a128df97c55"
      },
      "source": [
        "bar = px.bar(x=num_genres.index[:15], y=num_genres.values[:15], title='Top Genres', hover_name=num_genres.index[:15],\n",
        "             color=num_genres.values[:15], color_continuous_scale='Agsunset')\n",
        "bar.update_layout(xaxis_title='Genre', yaxis_title='Number of Apps', coloraxis_showscale=False)\n",
        "bar.show()"
      ],
      "execution_count": 53,
      "outputs": [
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    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BIWG_10PyIzL"
      },
      "source": [
        "# Grouped Bar Charts: Free vs. Paid Apps per Category"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ANMs7xywolDH",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "d20dad18-bd3d-4c8f-d4aa-87db35c44660"
      },
      "source": [
        "df_apps_clean.Type.value_counts()\n",
        "\n",
        "df_free_vs_paid = df_apps_clean.groupby(['Category', 'Type'], as_index=False).agg({'App': pd.Series.count})\n",
        "df_free_vs_paid.head()"
      ],
      "execution_count": 55,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "            Category  Type  App\n",
              "0     ART_AND_DESIGN  Free   58\n",
              "1     ART_AND_DESIGN  Paid    3\n",
              "2  AUTO_AND_VEHICLES  Free   72\n",
              "3  AUTO_AND_VEHICLES  Paid    1\n",
              "4             BEAUTY  Free   42"
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              "\n",
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              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_free_vs_paid",
              "summary": "{\n  \"name\": \"df_free_vs_paid\",\n  \"rows\": 61,\n  \"fields\": [\n    {\n      \"column\": \"Category\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 33,\n        \"samples\": [\n          \"VIDEO_PLAYERS\",\n          \"HEALTH_AND_FITNESS\",\n          \"SHOPPING\"\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\": \"App\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 227,\n        \"min\": 1,\n        \"max\": 1456,\n        \"num_unique_values\": 49,\n        \"samples\": [\n          114,\n          238\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wmRXm0TW1e_Z"
      },
      "source": [
        "**Challenge**: Use the plotly express bar [chart examples](https://plotly.com/python/bar-charts/#bar-chart-with-sorted-or-ordered-categories) and the [.bar() API reference](https://plotly.com/python-api-reference/generated/plotly.express.bar.html#plotly.express.bar) to create this bar chart:\n",
        "\n",
        "<img src=https://imgur.com/LE0XCxA.png>\n",
        "\n",
        "You'll want to use the `df_free_vs_paid` DataFrame that you created above that has the total number of free and paid apps per category.\n",
        "\n",
        "See if you can figure out how to get the look above by changing the `categoryorder` to 'total descending' as outlined in the documentation here [here](https://plotly.com/python/categorical-axes/#automatically-sorting-categories-by-name-or-total-value)."
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    },
    {
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          "height": 542
        },
        "outputId": "e1970ff0-b577-4630-fca8-32a66b6934b2"
      },
      "source": [
        "g_bar = px.bar(df_free_vs_paid, x='Category', y='App', title='Free vs Paid Category', color='Type',\n",
        "               barmode='group')\n",
        "g_bar.update_layout(xaxis_title='Category', yaxis_title='Number of Apps',\n",
        "                    xaxis={'categoryorder': 'total descending'}, yaxis=dict(type='log'))\n",
        "g_bar.show()"
      ],
      "execution_count": 56,
      "outputs": [
        {
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        "id": "nbYh2tU-VZ-i"
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      "source": [
        "# Plotly Box Plots: Lost Downloads for Paid Apps\n",
        "\n",
        "**Challenge**: Create a box plot that shows the number of Installs for free versus paid apps. How does the median number of installations compare? Is the difference large or small?\n",
        "\n",
        "Use the [Box Plots Guide](https://plotly.com/python/box-plots/) and the [.box API reference](https://plotly.com/python-api-reference/generated/plotly.express.box.html) to create the following chart.\n",
        "\n",
        "<img src=https://imgur.com/uVsECT3.png>\n"
      ]
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    {
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      "metadata": {
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          "height": 542
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        "outputId": "dcbbbc86-ff1b-493a-884a-d473fa12eac4"
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      "source": [
        "box = px.box(df_apps_clean, y='Installs', x='Type', color='Type',\n",
        "             notched=True, points='all', title='How many downloads are Paid Apps Giving Up?')\n",
        "box.update_layout(yaxis=dict(type='log'))\n",
        "box.show()"
      ],
      "execution_count": 57,
      "outputs": [
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xi2NaEBPVNrP"
      },
      "source": [
        "# Plotly Box Plots: Revenue by App Category\n",
        "\n",
        "**Challenge**: See if you can generate the chart below:\n",
        "\n",
        "<img src=https://imgur.com/v4CiNqX.png>\n",
        "\n",
        "Looking at the hover text, how much does the median app earn in the Tools category? If developing an Android app costs $30,000 or thereabouts, does the average photography app recoup its development costs?\n",
        "\n",
        "Hint: I've used 'min ascending' to sort the categories."
      ]
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    {
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      "metadata": {
        "id": "W1iVoT8Dos7x",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "9f3348c2-8fc9-4421-d698-83f170806242"
      },
      "source": [
        "df_paid_apps = df_apps_clean[df_apps_clean['Type'] == 'Paid']\n",
        "box = px.box(df_paid_apps, x='Category', y='Revenue_Estimate', title='How much can paid apps earn? ')\n",
        "box.update_layout(xaxis_title='Category', yaxis_title='Paid App Ballpark Revenue',\n",
        "                  xaxis={'categoryorder': 'min ascending'}, yaxis=dict(type='log'))\n",
        "box.show()"
      ],
      "execution_count": 59,
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          "metadata": {}
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      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uT32ylj4WS9B"
      },
      "source": [
        "# How Much Can You Charge? Examine Paid App Pricing Strategies by Category\n",
        "\n",
        "**Challenge**: What is the median price price for a paid app? Then compare pricing by category by creating another box plot. But this time examine the prices (instead of the revenue estimates) of the paid apps. I recommend using `{categoryorder':'max descending'}` to sort the categories."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AdBr0TUhouqs",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "90ee1006-6df8-438c-ffa8-f19eff6fc753"
      },
      "source": [
        "df_paid_apps.Price.median()"
      ],
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2.99"
            ]
          },
          "metadata": {},
          "execution_count": 60
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    {
      "cell_type": "code",
      "metadata": {
        "id": "bJnABRw3ovwr",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "729e2290-10e9-4ea4-e7c7-648152d7d4fd"
      },
      "source": [
        "box = px.box(df_paid_apps, x='Category', y='Price',\n",
        "             title='Price per Category')\n",
        "box.update_layout(xaxis_title='Category', yaxis_title='Paid App Price',\n",
        "                  xaxis={'categoryorder': 'max descending'}, yaxis=dict(type='log'))\n",
        "box.show()\n"
      ],
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "display_data",
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