AppRatingProject.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "JEHxBlwdn3sx"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QLKSqTqIn3s0"
      },
      "outputs": [],
      "source": [
        "df= pd.read_csv('googleplaystore.csv')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "LHSGOzMkn3s0",
        "outputId": "85d8473c-a28f-4275-aae5-14a9bd39f08c"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(10841, 13)"
            ]
          },
          "execution_count": 31,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ZYPwCkxyn3s1",
        "outputId": "b4f5cd6d-03ff-458a-f44a-307d5065764b"
      },
      "outputs": [
        {
          "data": {
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>App</th>\n",
              "      <th>Category</th>\n",
              "      <th>Rating</th>\n",
              "      <th>Reviews</th>\n",
              "      <th>Size</th>\n",
              "      <th>Installs</th>\n",
              "      <th>Type</th>\n",
              "      <th>Price</th>\n",
              "      <th>Content Rating</th>\n",
              "      <th>Genres</th>\n",
              "      <th>Last Updated</th>\n",
              "      <th>Current Ver</th>\n",
              "      <th>Android Ver</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Photo Editor &amp; Candy Camera &amp; Grid &amp; ScrapBook</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>4.1</td>\n",
              "      <td>159</td>\n",
              "      <td>19M</td>\n",
              "      <td>10,000+</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design</td>\n",
              "      <td>January 7, 2018</td>\n",
              "      <td>1.0.0</td>\n",
              "      <td>4.0.3 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Coloring book moana</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>3.9</td>\n",
              "      <td>967</td>\n",
              "      <td>14M</td>\n",
              "      <td>500,000+</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design;Pretend Play</td>\n",
              "      <td>January 15, 2018</td>\n",
              "      <td>2.0.0</td>\n",
              "      <td>4.0.3 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>4.7</td>\n",
              "      <td>87510</td>\n",
              "      <td>8.7M</td>\n",
              "      <td>5,000,000+</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design</td>\n",
              "      <td>August 1, 2018</td>\n",
              "      <td>1.2.4</td>\n",
              "      <td>4.0.3 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Sketch - Draw &amp; Paint</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>4.5</td>\n",
              "      <td>215644</td>\n",
              "      <td>25M</td>\n",
              "      <td>50,000,000+</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Art &amp; Design</td>\n",
              "      <td>June 8, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>4.2 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>4.3</td>\n",
              "      <td>967</td>\n",
              "      <td>2.8M</td>\n",
              "      <td>100,000+</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design;Creativity</td>\n",
              "      <td>June 20, 2018</td>\n",
              "      <td>1.1</td>\n",
              "      <td>4.4 and up</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                 App        Category  Rating  \\\n",
              "0     Photo Editor & Candy Camera & Grid & ScrapBook  ART_AND_DESIGN     4.1   \n",
              "1                                Coloring book moana  ART_AND_DESIGN     3.9   \n",
              "2  U Launcher Lite – FREE Live Cool Themes, Hide ...  ART_AND_DESIGN     4.7   \n",
              "3                              Sketch - Draw & Paint  ART_AND_DESIGN     4.5   \n",
              "4              Pixel Draw - Number Art Coloring Book  ART_AND_DESIGN     4.3   \n",
              "\n",
              "  Reviews  Size     Installs  Type Price Content Rating  \\\n",
              "0     159   19M      10,000+  Free     0       Everyone   \n",
              "1     967   14M     500,000+  Free     0       Everyone   \n",
              "2   87510  8.7M   5,000,000+  Free     0       Everyone   \n",
              "3  215644   25M  50,000,000+  Free     0           Teen   \n",
              "4     967  2.8M     100,000+  Free     0       Everyone   \n",
              "\n",
              "                      Genres      Last Updated         Current Ver  \\\n",
              "0               Art & Design   January 7, 2018               1.0.0   \n",
              "1  Art & Design;Pretend Play  January 15, 2018               2.0.0   \n",
              "2               Art & Design    August 1, 2018               1.2.4   \n",
              "3               Art & Design      June 8, 2018  Varies with device   \n",
              "4    Art & Design;Creativity     June 20, 2018                 1.1   \n",
              "\n",
              "    Android Ver  \n",
              "0  4.0.3 and up  \n",
              "1  4.0.3 and up  \n",
              "2  4.0.3 and up  \n",
              "3    4.2 and up  \n",
              "4    4.4 and up  "
            ]
          },
          "execution_count": 32,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "mQK3-dPkn3s1",
        "outputId": "41820b71-464f-49f4-c7d2-394115dbaecf"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Rating</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>9367.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>4.193338</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.537431</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>4.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>4.300000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>4.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>19.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            Rating\n",
              "count  9367.000000\n",
              "mean      4.193338\n",
              "std       0.537431\n",
              "min       1.000000\n",
              "25%       4.000000\n",
              "50%       4.300000\n",
              "75%       4.500000\n",
              "max      19.000000"
            ]
          },
          "execution_count": 33,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ILs_A5jWn3s2",
        "outputId": "f98fbde4-894f-4b21-822e-01490a9888b6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "App                object\n",
              "Category           object\n",
              "Rating            float64\n",
              "Reviews            object\n",
              "Size               object\n",
              "Installs           object\n",
              "Type               object\n",
              "Price              object\n",
              "Content Rating     object\n",
              "Genres             object\n",
              "Last Updated       object\n",
              "Current Ver        object\n",
              "Android Ver        object\n",
              "dtype: object"
            ]
          },
          "execution_count": 34,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.dtypes"
      ]
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FctEtbzpn3s2",
        "outputId": "e03b45b0-e905-4887-d09a-1c92688774c0"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 10841 entries, 0 to 10840\n",
            "Data columns (total 13 columns):\n",
            " #   Column          Non-Null Count  Dtype  \n",
            "---  ------          --------------  -----  \n",
            " 0   App             10841 non-null  object \n",
            " 1   Category        10841 non-null  object \n",
            " 2   Rating          9367 non-null   float64\n",
            " 3   Reviews         10841 non-null  object \n",
            " 4   Size            10841 non-null  object \n",
            " 5   Installs        10841 non-null  object \n",
            " 6   Type            10840 non-null  object \n",
            " 7   Price           10841 non-null  object \n",
            " 8   Content Rating  10840 non-null  object \n",
            " 9   Genres          10841 non-null  object \n",
            " 10  Last Updated    10841 non-null  object \n",
            " 11  Current Ver     10833 non-null  object \n",
            " 12  Android Ver     10838 non-null  object \n",
            "dtypes: float64(1), object(12)\n",
            "memory usage: 1.1+ MB\n"
          ]
        }
      ],
      "source": [
        "df.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6_r0QGG2n3s3",
        "outputId": "c3fc1bda-4ef4-43e6-a172-7b3948350abb"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "App                  0\n",
              "Category             0\n",
              "Rating            1474\n",
              "Reviews              0\n",
              "Size                 0\n",
              "Installs             0\n",
              "Type                 1\n",
              "Price                0\n",
              "Content Rating       1\n",
              "Genres               0\n",
              "Last Updated         0\n",
              "Current Ver          8\n",
              "Android Ver          3\n",
              "dtype: int64"
            ]
          },
          "execution_count": 36,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.isnull().sum()"
      ]
    },
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      "execution_count": null,
      "metadata": {
        "id": "ZdB8Aijrn3s3",
        "outputId": "ac8e2dd3-324f-40f3-cb79-c95ba475e783"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(10841, 13)"
            ]
          },
          "execution_count": 37,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "knCGTYExn3s3",
        "outputId": "e168bd8f-f317-4153-a9ac-b9fac5699a88"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>App</th>\n",
              "      <th>Category</th>\n",
              "      <th>Rating</th>\n",
              "      <th>Reviews</th>\n",
              "      <th>Size</th>\n",
              "      <th>Installs</th>\n",
              "      <th>Type</th>\n",
              "      <th>Price</th>\n",
              "      <th>Content Rating</th>\n",
              "      <th>Genres</th>\n",
              "      <th>Last Updated</th>\n",
              "      <th>Current Ver</th>\n",
              "      <th>Android Ver</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Photo Editor &amp; Candy Camera &amp; Grid &amp; ScrapBook</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>4.1</td>\n",
              "      <td>159</td>\n",
              "      <td>19M</td>\n",
              "      <td>10,000+</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design</td>\n",
              "      <td>January 7, 2018</td>\n",
              "      <td>1.0.0</td>\n",
              "      <td>4.0.3 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Coloring book moana</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>3.9</td>\n",
              "      <td>967</td>\n",
              "      <td>14M</td>\n",
              "      <td>500,000+</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design;Pretend Play</td>\n",
              "      <td>January 15, 2018</td>\n",
              "      <td>2.0.0</td>\n",
              "      <td>4.0.3 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>4.7</td>\n",
              "      <td>87510</td>\n",
              "      <td>8.7M</td>\n",
              "      <td>5,000,000+</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design</td>\n",
              "      <td>August 1, 2018</td>\n",
              "      <td>1.2.4</td>\n",
              "      <td>4.0.3 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Sketch - Draw &amp; Paint</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>4.5</td>\n",
              "      <td>215644</td>\n",
              "      <td>25M</td>\n",
              "      <td>50,000,000+</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Art &amp; Design</td>\n",
              "      <td>June 8, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>4.2 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
              "      <td>ART_AND_DESIGN</td>\n",
              "      <td>4.3</td>\n",
              "      <td>967</td>\n",
              "      <td>2.8M</td>\n",
              "      <td>100,000+</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Art &amp; Design;Creativity</td>\n",
              "      <td>June 20, 2018</td>\n",
              "      <td>1.1</td>\n",
              "      <td>4.4 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10834</th>\n",
              "      <td>FR Calculator</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.0</td>\n",
              "      <td>7</td>\n",
              "      <td>2.6M</td>\n",
              "      <td>500+</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Education</td>\n",
              "      <td>June 18, 2017</td>\n",
              "      <td>1.0.0</td>\n",
              "      <td>4.1 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10836</th>\n",
              "      <td>Sya9a Maroc - FR</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.5</td>\n",
              "      <td>38</td>\n",
              "      <td>53M</td>\n",
              "      <td>5,000+</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Education</td>\n",
              "      <td>July 25, 2017</td>\n",
              "      <td>1.48</td>\n",
              "      <td>4.1 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10837</th>\n",
              "      <td>Fr. Mike Schmitz Audio Teachings</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4</td>\n",
              "      <td>3.6M</td>\n",
              "      <td>100+</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Education</td>\n",
              "      <td>July 6, 2018</td>\n",
              "      <td>1</td>\n",
              "      <td>4.1 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10839</th>\n",
              "      <td>The SCP Foundation DB fr nn5n</td>\n",
              "      <td>BOOKS_AND_REFERENCE</td>\n",
              "      <td>4.5</td>\n",
              "      <td>114</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>1,000+</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Mature 17+</td>\n",
              "      <td>Books &amp; Reference</td>\n",
              "      <td>January 19, 2015</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10840</th>\n",
              "      <td>iHoroscope - 2018 Daily Horoscope &amp; Astrology</td>\n",
              "      <td>LIFESTYLE</td>\n",
              "      <td>4.5</td>\n",
              "      <td>398307</td>\n",
              "      <td>19M</td>\n",
              "      <td>10,000,000+</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Lifestyle</td>\n",
              "      <td>July 25, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>9360 rows × 13 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                     App             Category  \\\n",
              "0         Photo Editor & Candy Camera & Grid & ScrapBook       ART_AND_DESIGN   \n",
              "1                                    Coloring book moana       ART_AND_DESIGN   \n",
              "2      U Launcher Lite – FREE Live Cool Themes, Hide ...       ART_AND_DESIGN   \n",
              "3                                  Sketch - Draw & Paint       ART_AND_DESIGN   \n",
              "4                  Pixel Draw - Number Art Coloring Book       ART_AND_DESIGN   \n",
              "...                                                  ...                  ...   \n",
              "10834                                      FR Calculator               FAMILY   \n",
              "10836                                   Sya9a Maroc - FR               FAMILY   \n",
              "10837                   Fr. Mike Schmitz Audio Teachings               FAMILY   \n",
              "10839                      The SCP Foundation DB fr nn5n  BOOKS_AND_REFERENCE   \n",
              "10840      iHoroscope - 2018 Daily Horoscope & Astrology            LIFESTYLE   \n",
              "\n",
              "       Rating Reviews                Size     Installs  Type Price  \\\n",
              "0         4.1     159                 19M      10,000+  Free     0   \n",
              "1         3.9     967                 14M     500,000+  Free     0   \n",
              "2         4.7   87510                8.7M   5,000,000+  Free     0   \n",
              "3         4.5  215644                 25M  50,000,000+  Free     0   \n",
              "4         4.3     967                2.8M     100,000+  Free     0   \n",
              "...       ...     ...                 ...          ...   ...   ...   \n",
              "10834     4.0       7                2.6M         500+  Free     0   \n",
              "10836     4.5      38                 53M       5,000+  Free     0   \n",
              "10837     5.0       4                3.6M         100+  Free     0   \n",
              "10839     4.5     114  Varies with device       1,000+  Free     0   \n",
              "10840     4.5  398307                 19M  10,000,000+  Free     0   \n",
              "\n",
              "      Content Rating                     Genres      Last Updated  \\\n",
              "0           Everyone               Art & Design   January 7, 2018   \n",
              "1           Everyone  Art & Design;Pretend Play  January 15, 2018   \n",
              "2           Everyone               Art & Design    August 1, 2018   \n",
              "3               Teen               Art & Design      June 8, 2018   \n",
              "4           Everyone    Art & Design;Creativity     June 20, 2018   \n",
              "...              ...                        ...               ...   \n",
              "10834       Everyone                  Education     June 18, 2017   \n",
              "10836       Everyone                  Education     July 25, 2017   \n",
              "10837       Everyone                  Education      July 6, 2018   \n",
              "10839     Mature 17+          Books & Reference  January 19, 2015   \n",
              "10840       Everyone                  Lifestyle     July 25, 2018   \n",
              "\n",
              "              Current Ver         Android Ver  \n",
              "0                   1.0.0        4.0.3 and up  \n",
              "1                   2.0.0        4.0.3 and up  \n",
              "2                   1.2.4        4.0.3 and up  \n",
              "3      Varies with device          4.2 and up  \n",
              "4                     1.1          4.4 and up  \n",
              "...                   ...                 ...  \n",
              "10834               1.0.0          4.1 and up  \n",
              "10836                1.48          4.1 and up  \n",
              "10837                   1          4.1 and up  \n",
              "10839  Varies with device  Varies with device  \n",
              "10840  Varies with device  Varies with device  \n",
              "\n",
              "[9360 rows x 13 columns]"
            ]
          },
          "execution_count": 38,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df=df.dropna()\n",
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "XVCI3W6en3s4",
        "outputId": "e001273a-4baf-458b-c631-f776a567b82f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "App               0\n",
              "Category          0\n",
              "Rating            0\n",
              "Reviews           0\n",
              "Size              0\n",
              "Installs          0\n",
              "Type              0\n",
              "Price             0\n",
              "Content Rating    0\n",
              "Genres            0\n",
              "Last Updated      0\n",
              "Current Ver       0\n",
              "Android Ver       0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 39,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.isnull().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "a_LJNFShn3s4",
        "outputId": "3fcea960-7ab8-4173-a412-5a311540ceb7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Varies with device    1637\n",
            "14M                    165\n",
            "12M                    161\n",
            "15M                    159\n",
            "11M                    159\n",
            "                      ... \n",
            "772k                     1\n",
            "203k                     1\n",
            "420k                     1\n",
            "170k                     1\n",
            "837k                     1\n",
            "Name: Size, Length: 413, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "print(df.Size.value_counts())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9hGvJIGIn3s4"
      },
      "outputs": [],
      "source": [
        "def change(Size):\n",
        "    if 'M'in Size:\n",
        "        x=Size[:-1]\n",
        "        x=float(x)*1000\n",
        "        return x\n",
        "\n",
        "    elif 'k'== Size[:-1]:\n",
        "        x=Size[:-1]\n",
        "        x=float(x)\n",
        "        return x\n",
        "\n",
        "    else:\n",
        "        return None"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "YWtB9hPBn3s4"
      },
      "outputs": [],
      "source": [
        "df.Size=df.Size.map(change)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "lAv_wFpZn3s4",
        "outputId": "a5783cfd-8b86-4d11-d6b3-0bd3a0bd2d60"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count      7466.000000\n",
              "mean      23746.316635\n",
              "std       23467.457006\n",
              "min        1000.000000\n",
              "25%        5900.000000\n",
              "50%       15000.000000\n",
              "75%       34000.000000\n",
              "max      100000.000000\n",
              "Name: Size, dtype: float64"
            ]
          },
          "execution_count": 43,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.Size.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "n3_j87k4n3s5",
        "outputId": "e6580911-8837-46c0-a1d6-3835d3339b70"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "1894\n",
            "0\n"
          ]
        }
      ],
      "source": [
        "print(df.Size.isnull().sum())\n",
        "df.Size.fillna(method='pad',inplace=True)\n",
        "print(df.Size.isnull().sum())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "DYmYaZPCn3s5"
      },
      "outputs": [],
      "source": [
        "df.Size=df.Size.astype(\"int32\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "g0nTkRcjn3s5"
      },
      "outputs": [],
      "source": [
        "df.Reviews=df.Reviews.astype(\"int32\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "gL7l_kvon3s5",
        "outputId": "bdfc7adb-61f0-46fd-b9d4-5ea4f99db586"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count    9.360000e+03\n",
              "mean     5.143767e+05\n",
              "std      3.145023e+06\n",
              "min      1.000000e+00\n",
              "25%      1.867500e+02\n",
              "50%      5.955000e+03\n",
              "75%      8.162750e+04\n",
              "max      7.815831e+07\n",
              "Name: Reviews, dtype: float64"
            ]
          },
          "execution_count": 46,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.Reviews.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "7S1BZoJJn3s5"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "r6eFDoDmn3s5",
        "outputId": "443383c2-b99f-4010-9fda-87729ee896fe"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "App                object\n",
              "Category           object\n",
              "Rating            float64\n",
              "Reviews             int32\n",
              "Size                int32\n",
              "Installs           object\n",
              "Type               object\n",
              "Price              object\n",
              "Content Rating     object\n",
              "Genres             object\n",
              "Last Updated       object\n",
              "Current Ver        object\n",
              "Android Ver        object\n",
              "dtype: object"
            ]
          },
          "execution_count": 50,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.dtypes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "VcAo0bbYn3s6",
        "outputId": "3d70eeec-a269-4dcc-81f0-369690dc9663"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "1,000,000+        1576\n",
            "10,000,000+       1252\n",
            "100,000+          1150\n",
            "10,000+           1009\n",
            "5,000,000+         752\n",
            "1,000+             712\n",
            "500,000+           537\n",
            "50,000+            466\n",
            "5,000+             431\n",
            "100,000,000+       409\n",
            "100+               309\n",
            "50,000,000+        289\n",
            "500+               201\n",
            "500,000,000+        72\n",
            "10+                 69\n",
            "1,000,000,000+      58\n",
            "50+                 56\n",
            "5+                   9\n",
            "1+                   3\n",
            "Name: Installs, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "print(df.Installs.value_counts())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "N9CJVU-Ln3s6"
      },
      "outputs": [],
      "source": [
        "df.Installs = df.Installs.map(lambda x:x.replace(',','').replace('+',''))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "VK1orCfJn3s6",
        "outputId": "9cc95469-aea6-4b58-da17-41d33227d963"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "1000000       1576\n",
            "10000000      1252\n",
            "100000        1150\n",
            "10000         1009\n",
            "5000000        752\n",
            "1000           712\n",
            "500000         537\n",
            "50000          466\n",
            "5000           431\n",
            "100000000      409\n",
            "100            309\n",
            "50000000       289\n",
            "500            201\n",
            "500000000       72\n",
            "10              69\n",
            "1000000000      58\n",
            "50              56\n",
            "5                9\n",
            "1                3\n",
            "Name: Installs, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "print(df.Installs.value_counts())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "oo63_UXzn3s6"
      },
      "outputs": [],
      "source": [
        "df['Installs'] = df['Installs'].astype(int)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Py0xjVLMn3s6",
        "outputId": "3ba620b4-78d5-41cf-baf5-9eb2b3c8abe2"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "App                object\n",
              "Category           object\n",
              "Rating            float64\n",
              "Reviews             int32\n",
              "Size                int32\n",
              "Installs            int64\n",
              "Type               object\n",
              "Price              object\n",
              "Content Rating     object\n",
              "Genres             object\n",
              "Last Updated       object\n",
              "Current Ver        object\n",
              "Android Ver        object\n",
              "dtype: object"
            ]
          },
          "execution_count": 54,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.dtypes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ziWL8nknn3s6"
      },
      "outputs": [],
      "source": [
        "df.Price = df.Price.map(lambda x:x.replace('$',''))\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Flxy8n1Yn3s7",
        "outputId": "22ca0422-912b-47ef-f3b4-e3a7a087905f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count     9360\n",
              "unique      73\n",
              "top          0\n",
              "freq      8715\n",
              "Name: Price, dtype: object"
            ]
          },
          "execution_count": 56,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.Price.describe()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "SpBew9Oun3s7",
        "outputId": "2b8a6437-cb2d-45f6-d585-d9f9f8a3bb85"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0        0\n",
              "1        0\n",
              "2        0\n",
              "3        0\n",
              "4        0\n",
              "        ..\n",
              "10834    0\n",
              "10836    0\n",
              "10837    0\n",
              "10839    0\n",
              "10840    0\n",
              "Name: Price, Length: 9360, dtype: object"
            ]
          },
          "execution_count": 57,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df['Price']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "8fHNQVZWn3s7"
      },
      "outputs": [],
      "source": [
        "df['Price'] = df['Price'].astype(float)\n",
        "df['Price'] = df['Price'].astype(int)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FL7AtafOn3s7",
        "outputId": "ca169b5c-cae5-41e0-e524-82294b926790"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count    9360.000000\n",
              "mean        4.191838\n",
              "std         0.515263\n",
              "min         1.000000\n",
              "25%         4.000000\n",
              "50%         4.300000\n",
              "75%         4.500000\n",
              "max         5.000000\n",
              "Name: Rating, dtype: float64"
            ]
          },
          "execution_count": 59,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.Rating.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "utwQEg-7n3s8",
        "outputId": "a42b5c75-49d2-433c-fc0d-85503597bbac"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>App</th>\n",
              "      <th>Category</th>\n",
              "      <th>Rating</th>\n",
              "      <th>Reviews</th>\n",
              "      <th>Size</th>\n",
              "      <th>Installs</th>\n",
              "      <th>Type</th>\n",
              "      <th>Price</th>\n",
              "      <th>Content Rating</th>\n",
              "      <th>Genres</th>\n",
              "      <th>Last Updated</th>\n",
              "      <th>Current Ver</th>\n",
              "      <th>Android Ver</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2454</th>\n",
              "      <td>KBA-EZ Health Guide</td>\n",
              "      <td>MEDICAL</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4</td>\n",
              "      <td>25000</td>\n",
              "      <td>1</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Medical</td>\n",
              "      <td>August 2, 2018</td>\n",
              "      <td>1.0.72</td>\n",
              "      <td>4.0.3 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4663</th>\n",
              "      <td>Alarmy (Sleep If U Can) - Pro</td>\n",
              "      <td>LIFESTYLE</td>\n",
              "      <td>4.8</td>\n",
              "      <td>10249</td>\n",
              "      <td>30000</td>\n",
              "      <td>10000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>2</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Lifestyle</td>\n",
              "      <td>July 30, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5917</th>\n",
              "      <td>Ra Ga Ba</td>\n",
              "      <td>GAME</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2</td>\n",
              "      <td>20000</td>\n",
              "      <td>1</td>\n",
              "      <td>Paid</td>\n",
              "      <td>1</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Arcade</td>\n",
              "      <td>February 8, 2017</td>\n",
              "      <td>1.0.4</td>\n",
              "      <td>2.3 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6700</th>\n",
              "      <td>Brick Breaker BR</td>\n",
              "      <td>GAME</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7</td>\n",
              "      <td>19000</td>\n",
              "      <td>5</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Arcade</td>\n",
              "      <td>July 23, 2018</td>\n",
              "      <td>1</td>\n",
              "      <td>4.1 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7402</th>\n",
              "      <td>Trovami se ci riesci</td>\n",
              "      <td>GAME</td>\n",
              "      <td>5.0</td>\n",
              "      <td>11</td>\n",
              "      <td>6100</td>\n",
              "      <td>10</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Arcade</td>\n",
              "      <td>March 11, 2017</td>\n",
              "      <td>0.1</td>\n",
              "      <td>2.3 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8591</th>\n",
              "      <td>DN Blog</td>\n",
              "      <td>SOCIAL</td>\n",
              "      <td>5.0</td>\n",
              "      <td>20</td>\n",
              "      <td>4200</td>\n",
              "      <td>10</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Social</td>\n",
              "      <td>July 23, 2018</td>\n",
              "      <td>1</td>\n",
              "      <td>4.0 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10697</th>\n",
              "      <td>Mu.F.O.</td>\n",
              "      <td>GAME</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2</td>\n",
              "      <td>16000</td>\n",
              "      <td>1</td>\n",
              "      <td>Paid</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Arcade</td>\n",
              "      <td>March 3, 2017</td>\n",
              "      <td>1</td>\n",
              "      <td>2.3 and up</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                 App   Category  Rating  Reviews   Size  \\\n",
              "2454             KBA-EZ Health Guide    MEDICAL     5.0        4  25000   \n",
              "4663   Alarmy (Sleep If U Can) - Pro  LIFESTYLE     4.8    10249  30000   \n",
              "5917                        Ra Ga Ba       GAME     5.0        2  20000   \n",
              "6700                Brick Breaker BR       GAME     5.0        7  19000   \n",
              "7402            Trovami se ci riesci       GAME     5.0       11   6100   \n",
              "8591                         DN Blog     SOCIAL     5.0       20   4200   \n",
              "10697                        Mu.F.O.       GAME     5.0        2  16000   \n",
              "\n",
              "       Installs  Type  Price Content Rating     Genres      Last Updated  \\\n",
              "2454          1  Free      0       Everyone    Medical    August 2, 2018   \n",
              "4663      10000  Paid      2       Everyone  Lifestyle     July 30, 2018   \n",
              "5917          1  Paid      1       Everyone     Arcade  February 8, 2017   \n",
              "6700          5  Free      0       Everyone     Arcade     July 23, 2018   \n",
              "7402         10  Free      0       Everyone     Arcade    March 11, 2017   \n",
              "8591         10  Free      0           Teen     Social     July 23, 2018   \n",
              "10697         1  Paid      0       Everyone     Arcade     March 3, 2017   \n",
              "\n",
              "              Current Ver         Android Ver  \n",
              "2454               1.0.72        4.0.3 and up  \n",
              "4663   Varies with device  Varies with device  \n",
              "5917                1.0.4          2.3 and up  \n",
              "6700                    1          4.1 and up  \n",
              "7402                  0.1          2.3 and up  \n",
              "8591                    1          4.0 and up  \n",
              "10697                   1          2.3 and up  "
            ]
          },
          "execution_count": 60,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df[df.Reviews>df.Installs]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "hXcEh_IOn3s8"
      },
      "outputs": [],
      "source": [
        "df=df[df.Reviews<=df.Installs].copy()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "LR7s8LFxn3s8",
        "outputId": "a05f0e0e-f231-4449-f581-22544b6ad6c3"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(9353, 13)"
            ]
          },
          "execution_count": 62,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "SEQhDVzPn3s8",
        "outputId": "11f7f3ae-6bf9-4cf8-fc9e-3ed0e7631e86"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>App</th>\n",
              "      <th>Category</th>\n",
              "      <th>Rating</th>\n",
              "      <th>Reviews</th>\n",
              "      <th>Size</th>\n",
              "      <th>Installs</th>\n",
              "      <th>Type</th>\n",
              "      <th>Price</th>\n",
              "      <th>Content Rating</th>\n",
              "      <th>Genres</th>\n",
              "      <th>Last Updated</th>\n",
              "      <th>Current Ver</th>\n",
              "      <th>Android Ver</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
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            "text/plain": [
              "Empty DataFrame\n",
              "Columns: [App, Category, Rating, Reviews, Size, Installs, Type, Price, Content Rating, Genres, Last Updated, Current Ver, Android Ver]\n",
              "Index: []"
            ]
          },
          "execution_count": 63,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df[(df.Type == \"Free\") & (df.Price>0)]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "lgbACV5Dn3s9",
        "outputId": "5aff1db6-6079-4c6a-a2d0-e36b44185577"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.boxplot(df.Price)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "57YLaTvrn3s9",
        "outputId": "c63d7f9c-afeb-435b-b9df-12912e901656"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.boxplot(df.Reviews)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "wlyGiG6dn3s9",
        "outputId": "d69b523d-afc4-4bc8-ae76-35f7cad15c18"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "df.Rating.plot.hist()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "M-K7NiU7n3s9",
        "outputId": "1dad7ca2-f2af-41a0-def6-83dc6197102f"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "df.Size.plot.hist()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "bRPnDG5Fn3tB",
        "outputId": "c5a4b1f3-7268-437c-e119-629b4bd11b3d"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "15"
            ]
          },
          "execution_count": 68,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "len(df[df.Price>200])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "BXv_6nFSn3tB",
        "outputId": "a722313e-3c09-422d-cbae-cb65bc17788b"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>App</th>\n",
              "      <th>Category</th>\n",
              "      <th>Rating</th>\n",
              "      <th>Reviews</th>\n",
              "      <th>Size</th>\n",
              "      <th>Installs</th>\n",
              "      <th>Type</th>\n",
              "      <th>Price</th>\n",
              "      <th>Content Rating</th>\n",
              "      <th>Genres</th>\n",
              "      <th>Last Updated</th>\n",
              "      <th>Current Ver</th>\n",
              "      <th>Android Ver</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>4197</th>\n",
              "      <td>most expensive app (H)</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.3</td>\n",
              "      <td>6</td>\n",
              "      <td>1500</td>\n",
              "      <td>100</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Entertainment</td>\n",
              "      <td>July 16, 2018</td>\n",
              "      <td>1</td>\n",
              "      <td>7.0 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4362</th>\n",
              "      <td>💎 I'm rich</td>\n",
              "      <td>LIFESTYLE</td>\n",
              "      <td>3.8</td>\n",
              "      <td>718</td>\n",
              "      <td>26000</td>\n",
              "      <td>10000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Lifestyle</td>\n",
              "      <td>March 11, 2018</td>\n",
              "      <td>1.0.0</td>\n",
              "      <td>4.4 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4367</th>\n",
              "      <td>I'm Rich - Trump Edition</td>\n",
              "      <td>LIFESTYLE</td>\n",
              "      <td>3.6</td>\n",
              "      <td>275</td>\n",
              "      <td>7300</td>\n",
              "      <td>10000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>400</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Lifestyle</td>\n",
              "      <td>May 3, 2018</td>\n",
              "      <td>1.0.1</td>\n",
              "      <td>4.1 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5351</th>\n",
              "      <td>I am rich</td>\n",
              "      <td>LIFESTYLE</td>\n",
              "      <td>3.8</td>\n",
              "      <td>3547</td>\n",
              "      <td>1800</td>\n",
              "      <td>100000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Lifestyle</td>\n",
              "      <td>January 12, 2018</td>\n",
              "      <td>2</td>\n",
              "      <td>4.0.3 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5354</th>\n",
              "      <td>I am Rich Plus</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.0</td>\n",
              "      <td>856</td>\n",
              "      <td>8700</td>\n",
              "      <td>10000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Entertainment</td>\n",
              "      <td>May 19, 2018</td>\n",
              "      <td>3</td>\n",
              "      <td>4.4 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5355</th>\n",
              "      <td>I am rich VIP</td>\n",
              "      <td>LIFESTYLE</td>\n",
              "      <td>3.8</td>\n",
              "      <td>411</td>\n",
              "      <td>2600</td>\n",
              "      <td>10000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>299</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Lifestyle</td>\n",
              "      <td>July 21, 2018</td>\n",
              "      <td>1.1.1</td>\n",
              "      <td>4.3 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5356</th>\n",
              "      <td>I Am Rich Premium</td>\n",
              "      <td>FINANCE</td>\n",
              "      <td>4.1</td>\n",
              "      <td>1867</td>\n",
              "      <td>4700</td>\n",
              "      <td>50000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Finance</td>\n",
              "      <td>November 12, 2017</td>\n",
              "      <td>1.6</td>\n",
              "      <td>4.0 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5357</th>\n",
              "      <td>I am extremely Rich</td>\n",
              "      <td>LIFESTYLE</td>\n",
              "      <td>2.9</td>\n",
              "      <td>41</td>\n",
              "      <td>2900</td>\n",
              "      <td>1000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>379</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Lifestyle</td>\n",
              "      <td>July 1, 2018</td>\n",
              "      <td>1</td>\n",
              "      <td>4.0 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5358</th>\n",
              "      <td>I am Rich!</td>\n",
              "      <td>FINANCE</td>\n",
              "      <td>3.8</td>\n",
              "      <td>93</td>\n",
              "      <td>22000</td>\n",
              "      <td>1000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Finance</td>\n",
              "      <td>December 11, 2017</td>\n",
              "      <td>1</td>\n",
              "      <td>4.1 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5359</th>\n",
              "      <td>I am rich(premium)</td>\n",
              "      <td>FINANCE</td>\n",
              "      <td>3.5</td>\n",
              "      <td>472</td>\n",
              "      <td>22000</td>\n",
              "      <td>5000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Finance</td>\n",
              "      <td>May 1, 2017</td>\n",
              "      <td>3.4</td>\n",
              "      <td>4.4 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5362</th>\n",
              "      <td>I Am Rich Pro</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>4.4</td>\n",
              "      <td>201</td>\n",
              "      <td>2700</td>\n",
              "      <td>5000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Entertainment</td>\n",
              "      <td>May 30, 2017</td>\n",
              "      <td>1.54</td>\n",
              "      <td>1.6 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5364</th>\n",
              "      <td>I am rich (Most expensive app)</td>\n",
              "      <td>FINANCE</td>\n",
              "      <td>4.1</td>\n",
              "      <td>129</td>\n",
              "      <td>2700</td>\n",
              "      <td>1000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Finance</td>\n",
              "      <td>December 6, 2017</td>\n",
              "      <td>2</td>\n",
              "      <td>4.0.3 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5366</th>\n",
              "      <td>I Am Rich</td>\n",
              "      <td>FAMILY</td>\n",
              "      <td>3.6</td>\n",
              "      <td>217</td>\n",
              "      <td>4900</td>\n",
              "      <td>10000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>389</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Entertainment</td>\n",
              "      <td>June 22, 2018</td>\n",
              "      <td>1.5</td>\n",
              "      <td>4.2 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5369</th>\n",
              "      <td>I am Rich</td>\n",
              "      <td>FINANCE</td>\n",
              "      <td>4.3</td>\n",
              "      <td>180</td>\n",
              "      <td>3800</td>\n",
              "      <td>5000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Finance</td>\n",
              "      <td>March 22, 2018</td>\n",
              "      <td>1</td>\n",
              "      <td>4.2 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5373</th>\n",
              "      <td>I AM RICH PRO PLUS</td>\n",
              "      <td>FINANCE</td>\n",
              "      <td>4.0</td>\n",
              "      <td>36</td>\n",
              "      <td>41000</td>\n",
              "      <td>1000</td>\n",
              "      <td>Paid</td>\n",
              "      <td>399</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Finance</td>\n",
              "      <td>June 25, 2018</td>\n",
              "      <td>1.0.2</td>\n",
              "      <td>4.1 and up</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                 App   Category  Rating  Reviews   Size  \\\n",
              "4197          most expensive app (H)     FAMILY     4.3        6   1500   \n",
              "4362                      💎 I'm rich  LIFESTYLE     3.8      718  26000   \n",
              "4367        I'm Rich - Trump Edition  LIFESTYLE     3.6      275   7300   \n",
              "5351                       I am rich  LIFESTYLE     3.8     3547   1800   \n",
              "5354                  I am Rich Plus     FAMILY     4.0      856   8700   \n",
              "5355                   I am rich VIP  LIFESTYLE     3.8      411   2600   \n",
              "5356               I Am Rich Premium    FINANCE     4.1     1867   4700   \n",
              "5357             I am extremely Rich  LIFESTYLE     2.9       41   2900   \n",
              "5358                      I am Rich!    FINANCE     3.8       93  22000   \n",
              "5359              I am rich(premium)    FINANCE     3.5      472  22000   \n",
              "5362                   I Am Rich Pro     FAMILY     4.4      201   2700   \n",
              "5364  I am rich (Most expensive app)    FINANCE     4.1      129   2700   \n",
              "5366                       I Am Rich     FAMILY     3.6      217   4900   \n",
              "5369                       I am Rich    FINANCE     4.3      180   3800   \n",
              "5373              I AM RICH PRO PLUS    FINANCE     4.0       36  41000   \n",
              "\n",
              "      Installs  Type  Price Content Rating         Genres       Last Updated  \\\n",
              "4197       100  Paid    399       Everyone  Entertainment      July 16, 2018   \n",
              "4362     10000  Paid    399       Everyone      Lifestyle     March 11, 2018   \n",
              "4367     10000  Paid    400       Everyone      Lifestyle        May 3, 2018   \n",
              "5351    100000  Paid    399       Everyone      Lifestyle   January 12, 2018   \n",
              "5354     10000  Paid    399       Everyone  Entertainment       May 19, 2018   \n",
              "5355     10000  Paid    299       Everyone      Lifestyle      July 21, 2018   \n",
              "5356     50000  Paid    399       Everyone        Finance  November 12, 2017   \n",
              "5357      1000  Paid    379       Everyone      Lifestyle       July 1, 2018   \n",
              "5358      1000  Paid    399       Everyone        Finance  December 11, 2017   \n",
              "5359      5000  Paid    399       Everyone        Finance        May 1, 2017   \n",
              "5362      5000  Paid    399       Everyone  Entertainment       May 30, 2017   \n",
              "5364      1000  Paid    399           Teen        Finance   December 6, 2017   \n",
              "5366     10000  Paid    389       Everyone  Entertainment      June 22, 2018   \n",
              "5369      5000  Paid    399       Everyone        Finance     March 22, 2018   \n",
              "5373      1000  Paid    399       Everyone        Finance      June 25, 2018   \n",
              "\n",
              "     Current Ver   Android Ver  \n",
              "4197           1    7.0 and up  \n",
              "4362       1.0.0    4.4 and up  \n",
              "4367       1.0.1    4.1 and up  \n",
              "5351           2  4.0.3 and up  \n",
              "5354           3    4.4 and up  \n",
              "5355       1.1.1    4.3 and up  \n",
              "5356         1.6    4.0 and up  \n",
              "5357           1    4.0 and up  \n",
              "5358           1    4.1 and up  \n",
              "5359         3.4    4.4 and up  \n",
              "5362        1.54    1.6 and up  \n",
              "5364           2  4.0.3 and up  \n",
              "5366         1.5    4.2 and up  \n",
              "5369           1    4.2 and up  \n",
              "5373       1.0.2    4.1 and up  "
            ]
          },
          "execution_count": 69,
          "metadata": {},
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        }
      ],
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        "df[df.Price>200]"
      ]
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      "execution_count": null,
      "metadata": {
        "id": "CDtC1w6Wn3tC"
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      "source": [
        "df=df[df.Price<=200].copy()"
      ]
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      "execution_count": null,
      "metadata": {
        "id": "9MNYsMdUn3tC",
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      "metadata": {
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          "execution_count": 72,
          "metadata": {},
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      "source": [
        "len(df[df.Reviews>2000000])"
      ]
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    {
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      "execution_count": null,
      "metadata": {
        "id": "IOxMpnyin3tC",
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              "  <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</th>\n",
              "      <th>Installs</th>\n",
              "      <th>Type</th>\n",
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              "      <th>Content Rating</th>\n",
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              "      <th>Android Ver</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>139</th>\n",
              "      <td>Wattpad 📖 Free Books</td>\n",
              "      <td>BOOKS_AND_REFERENCE</td>\n",
              "      <td>4.6</td>\n",
              "      <td>2914724</td>\n",
              "      <td>3100</td>\n",
              "      <td>100000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Books &amp; Reference</td>\n",
              "      <td>August 1, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>335</th>\n",
              "      <td>Messenger – Text and Video Chat for Free</td>\n",
              "      <td>COMMUNICATION</td>\n",
              "      <td>4.0</td>\n",
              "      <td>56642847</td>\n",
              "      <td>35000</td>\n",
              "      <td>1000000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Communication</td>\n",
              "      <td>August 1, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>336</th>\n",
              "      <td>WhatsApp Messenger</td>\n",
              "      <td>COMMUNICATION</td>\n",
              "      <td>4.4</td>\n",
              "      <td>69119316</td>\n",
              "      <td>35000</td>\n",
              "      <td>1000000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Communication</td>\n",
              "      <td>August 3, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>338</th>\n",
              "      <td>Google Chrome: Fast &amp; Secure</td>\n",
              "      <td>COMMUNICATION</td>\n",
              "      <td>4.3</td>\n",
              "      <td>9642995</td>\n",
              "      <td>17000</td>\n",
              "      <td>1000000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Communication</td>\n",
              "      <td>August 1, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>340</th>\n",
              "      <td>Gmail</td>\n",
              "      <td>COMMUNICATION</td>\n",
              "      <td>4.3</td>\n",
              "      <td>4604324</td>\n",
              "      <td>17000</td>\n",
              "      <td>1000000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Communication</td>\n",
              "      <td>August 2, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                          App             Category  Rating  \\\n",
              "139                      Wattpad 📖 Free Books  BOOKS_AND_REFERENCE     4.6   \n",
              "335  Messenger – Text and Video Chat for Free        COMMUNICATION     4.0   \n",
              "336                        WhatsApp Messenger        COMMUNICATION     4.4   \n",
              "338              Google Chrome: Fast & Secure        COMMUNICATION     4.3   \n",
              "340                                     Gmail        COMMUNICATION     4.3   \n",
              "\n",
              "      Reviews   Size    Installs  Type  Price Content Rating  \\\n",
              "139   2914724   3100   100000000  Free      0           Teen   \n",
              "335  56642847  35000  1000000000  Free      0       Everyone   \n",
              "336  69119316  35000  1000000000  Free      0       Everyone   \n",
              "338   9642995  17000  1000000000  Free      0       Everyone   \n",
              "340   4604324  17000  1000000000  Free      0       Everyone   \n",
              "\n",
              "                Genres    Last Updated         Current Ver         Android Ver  \n",
              "139  Books & Reference  August 1, 2018  Varies with device  Varies with device  \n",
              "335      Communication  August 1, 2018  Varies with device  Varies with device  \n",
              "336      Communication  August 3, 2018  Varies with device  Varies with device  \n",
              "338      Communication  August 1, 2018  Varies with device  Varies with device  \n",
              "340      Communication  August 2, 2018  Varies with device  Varies with device  "
            ]
          },
          "execution_count": 73,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df[df.Reviews>2000000].head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "s8iwCgFkn3tC"
      },
      "outputs": [],
      "source": [
        "df=df[df.Reviews<=2000000].copy()"
      ]
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        {
          "data": {
            "text/plain": [
              "0.10         1000.0\n",
              "0.25        10000.0\n",
              "0.50       500000.0\n",
              "0.70      1000000.0\n",
              "0.90     10000000.0\n",
              "0.95     10000000.0\n",
              "0.99    100000000.0\n",
              "Name: Installs, dtype: float64"
            ]
          },
          "execution_count": 76,
          "metadata": {},
          "output_type": "execute_result"
        }
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      "source": [
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      ]
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              "20"
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          "execution_count": 77,
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      "source": [
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              "      <th>152</th>\n",
              "      <td>Google Play Books</td>\n",
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              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3326</th>\n",
              "      <td>Gboard - the Google Keyboard</td>\n",
              "      <td>TOOLS</td>\n",
              "      <td>4.2</td>\n",
              "      <td>1859109</td>\n",
              "      <td>8900</td>\n",
              "      <td>500000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Tools</td>\n",
              "      <td>July 31, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3473</th>\n",
              "      <td>Dropbox</td>\n",
              "      <td>PRODUCTIVITY</td>\n",
              "      <td>4.4</td>\n",
              "      <td>1861310</td>\n",
              "      <td>61000</td>\n",
              "      <td>500000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Productivity</td>\n",
              "      <td>August 1, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3476</th>\n",
              "      <td>Google Calendar</td>\n",
              "      <td>PRODUCTIVITY</td>\n",
              "      <td>4.2</td>\n",
              "      <td>858208</td>\n",
              "      <td>1600</td>\n",
              "      <td>500000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Productivity</td>\n",
              "      <td>August 6, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3533</th>\n",
              "      <td>Google Calendar</td>\n",
              "      <td>PRODUCTIVITY</td>\n",
              "      <td>4.2</td>\n",
              "      <td>858227</td>\n",
              "      <td>37000</td>\n",
              "      <td>500000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Productivity</td>\n",
              "      <td>August 6, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3562</th>\n",
              "      <td>Google Calendar</td>\n",
              "      <td>PRODUCTIVITY</td>\n",
              "      <td>4.2</td>\n",
              "      <td>858230</td>\n",
              "      <td>15000</td>\n",
              "      <td>500000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Productivity</td>\n",
              "      <td>August 6, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3569</th>\n",
              "      <td>Dropbox</td>\n",
              "      <td>PRODUCTIVITY</td>\n",
              "      <td>4.4</td>\n",
              "      <td>1861309</td>\n",
              "      <td>61000</td>\n",
              "      <td>500000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Productivity</td>\n",
              "      <td>August 1, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3574</th>\n",
              "      <td>Cloud Print</td>\n",
              "      <td>PRODUCTIVITY</td>\n",
              "      <td>4.1</td>\n",
              "      <td>282460</td>\n",
              "      <td>3800</td>\n",
              "      <td>500000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Productivity</td>\n",
              "      <td>May 23, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3687</th>\n",
              "      <td>Google Play Movies &amp; TV</td>\n",
              "      <td>VIDEO_PLAYERS</td>\n",
              "      <td>3.7</td>\n",
              "      <td>906384</td>\n",
              "      <td>13000</td>\n",
              "      <td>1000000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>Video Players &amp; Editors</td>\n",
              "      <td>August 6, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3736</th>\n",
              "      <td>Google News</td>\n",
              "      <td>NEWS_AND_MAGAZINES</td>\n",
              "      <td>3.9</td>\n",
              "      <td>877635</td>\n",
              "      <td>13000</td>\n",
              "      <td>1000000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>News &amp; Magazines</td>\n",
              "      <td>August 1, 2018</td>\n",
              "      <td>5.2.0</td>\n",
              "      <td>4.4 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3755</th>\n",
              "      <td>Flipboard: News For Our Time</td>\n",
              "      <td>NEWS_AND_MAGAZINES</td>\n",
              "      <td>4.4</td>\n",
              "      <td>1284017</td>\n",
              "      <td>8700</td>\n",
              "      <td>500000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone 10+</td>\n",
              "      <td>News &amp; Magazines</td>\n",
              "      <td>August 3, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3765</th>\n",
              "      <td>Google News</td>\n",
              "      <td>NEWS_AND_MAGAZINES</td>\n",
              "      <td>3.9</td>\n",
              "      <td>877635</td>\n",
              "      <td>13000</td>\n",
              "      <td>1000000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>News &amp; Magazines</td>\n",
              "      <td>August 1, 2018</td>\n",
              "      <td>5.2.0</td>\n",
              "      <td>4.4 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3767</th>\n",
              "      <td>Flipboard: News For Our Time</td>\n",
              "      <td>NEWS_AND_MAGAZINES</td>\n",
              "      <td>4.4</td>\n",
              "      <td>1284017</td>\n",
              "      <td>13000</td>\n",
              "      <td>500000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone 10+</td>\n",
              "      <td>News &amp; Magazines</td>\n",
              "      <td>August 3, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3816</th>\n",
              "      <td>Google News</td>\n",
              "      <td>NEWS_AND_MAGAZINES</td>\n",
              "      <td>3.9</td>\n",
              "      <td>877643</td>\n",
              "      <td>13000</td>\n",
              "      <td>1000000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>News &amp; Magazines</td>\n",
              "      <td>August 1, 2018</td>\n",
              "      <td>5.2.0</td>\n",
              "      <td>4.4 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3819</th>\n",
              "      <td>Flipboard: News For Our Time</td>\n",
              "      <td>NEWS_AND_MAGAZINES</td>\n",
              "      <td>4.4</td>\n",
              "      <td>1284018</td>\n",
              "      <td>13000</td>\n",
              "      <td>500000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone 10+</td>\n",
              "      <td>News &amp; Magazines</td>\n",
              "      <td>August 3, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4048</th>\n",
              "      <td>Dropbox</td>\n",
              "      <td>PRODUCTIVITY</td>\n",
              "      <td>4.4</td>\n",
              "      <td>1860844</td>\n",
              "      <td>61000</td>\n",
              "      <td>500000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Productivity</td>\n",
              "      <td>August 1, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4147</th>\n",
              "      <td>Gboard - the Google Keyboard</td>\n",
              "      <td>TOOLS</td>\n",
              "      <td>4.2</td>\n",
              "      <td>1855262</td>\n",
              "      <td>32000</td>\n",
              "      <td>500000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Tools</td>\n",
              "      <td>July 31, 2018</td>\n",
              "      <td>Varies with device</td>\n",
              "      <td>Varies with device</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5596</th>\n",
              "      <td>Samsung Health</td>\n",
              "      <td>HEALTH_AND_FITNESS</td>\n",
              "      <td>4.3</td>\n",
              "      <td>480208</td>\n",
              "      <td>70000</td>\n",
              "      <td>500000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Everyone</td>\n",
              "      <td>Health &amp; Fitness</td>\n",
              "      <td>July 31, 2018</td>\n",
              "      <td>5.17.2.009</td>\n",
              "      <td>5.0 and up</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9844</th>\n",
              "      <td>Google News</td>\n",
              "      <td>NEWS_AND_MAGAZINES</td>\n",
              "      <td>3.9</td>\n",
              "      <td>878065</td>\n",
              "      <td>13000</td>\n",
              "      <td>1000000000</td>\n",
              "      <td>Free</td>\n",
              "      <td>0</td>\n",
              "      <td>Teen</td>\n",
              "      <td>News &amp; Magazines</td>\n",
              "      <td>August 1, 2018</td>\n",
              "      <td>5.2.0</td>\n",
              "      <td>4.4 and up</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                               App             Category  Rating  Reviews  \\\n",
              "152              Google Play Books  BOOKS_AND_REFERENCE     3.9  1433233   \n",
              "3265  Gboard - the Google Keyboard                TOOLS     4.2  1859115   \n",
              "3326  Gboard - the Google Keyboard                TOOLS     4.2  1859109   \n",
              "3473                       Dropbox         PRODUCTIVITY     4.4  1861310   \n",
              "3476               Google Calendar         PRODUCTIVITY     4.2   858208   \n",
              "3533               Google Calendar         PRODUCTIVITY     4.2   858227   \n",
              "3562               Google Calendar         PRODUCTIVITY     4.2   858230   \n",
              "3569                       Dropbox         PRODUCTIVITY     4.4  1861309   \n",
              "3574                   Cloud Print         PRODUCTIVITY     4.1   282460   \n",
              "3687       Google Play Movies & TV        VIDEO_PLAYERS     3.7   906384   \n",
              "3736                   Google News   NEWS_AND_MAGAZINES     3.9   877635   \n",
              "3755  Flipboard: News For Our Time   NEWS_AND_MAGAZINES     4.4  1284017   \n",
              "3765                   Google News   NEWS_AND_MAGAZINES     3.9   877635   \n",
              "3767  Flipboard: News For Our Time   NEWS_AND_MAGAZINES     4.4  1284017   \n",
              "3816                   Google News   NEWS_AND_MAGAZINES     3.9   877643   \n",
              "3819  Flipboard: News For Our Time   NEWS_AND_MAGAZINES     4.4  1284018   \n",
              "4048                       Dropbox         PRODUCTIVITY     4.4  1860844   \n",
              "4147  Gboard - the Google Keyboard                TOOLS     4.2  1855262   \n",
              "5596                Samsung Health   HEALTH_AND_FITNESS     4.3   480208   \n",
              "9844                   Google News   NEWS_AND_MAGAZINES     3.9   878065   \n",
              "\n",
              "       Size    Installs  Type  Price Content Rating                   Genres  \\\n",
              "152    5000  1000000000  Free      0           Teen        Books & Reference   \n",
              "3265  15000   500000000  Free      0       Everyone                    Tools   \n",
              "3326   8900   500000000  Free      0       Everyone                    Tools   \n",
              "3473  61000   500000000  Free      0       Everyone             Productivity   \n",
              "3476   1600   500000000  Free      0       Everyone             Productivity   \n",
              "3533  37000   500000000  Free      0       Everyone             Productivity   \n",
              "3562  15000   500000000  Free      0       Everyone             Productivity   \n",
              "3569  61000   500000000  Free      0       Everyone             Productivity   \n",
              "3574   3800   500000000  Free      0       Everyone             Productivity   \n",
              "3687  13000  1000000000  Free      0           Teen  Video Players & Editors   \n",
              "3736  13000  1000000000  Free      0           Teen         News & Magazines   \n",
              "3755   8700   500000000  Free      0   Everyone 10+         News & Magazines   \n",
              "3765  13000  1000000000  Free      0           Teen         News & Magazines   \n",
              "3767  13000   500000000  Free      0   Everyone 10+         News & Magazines   \n",
              "3816  13000  1000000000  Free      0           Teen         News & Magazines   \n",
              "3819  13000   500000000  Free      0   Everyone 10+         News & Magazines   \n",
              "4048  61000   500000000  Free      0       Everyone             Productivity   \n",
              "4147  32000   500000000  Free      0       Everyone                    Tools   \n",
              "5596  70000   500000000  Free      0       Everyone         Health & Fitness   \n",
              "9844  13000  1000000000  Free      0           Teen         News & Magazines   \n",
              "\n",
              "        Last Updated         Current Ver         Android Ver  \n",
              "152   August 3, 2018  Varies with device  Varies with device  \n",
              "3265   July 31, 2018  Varies with device  Varies with device  \n",
              "3326   July 31, 2018  Varies with device  Varies with device  \n",
              "3473  August 1, 2018  Varies with device  Varies with device  \n",
              "3476  August 6, 2018  Varies with device  Varies with device  \n",
              "3533  August 6, 2018  Varies with device  Varies with device  \n",
              "3562  August 6, 2018  Varies with device  Varies with device  \n",
              "3569  August 1, 2018  Varies with device  Varies with device  \n",
              "3574    May 23, 2018  Varies with device  Varies with device  \n",
              "3687  August 6, 2018  Varies with device  Varies with device  \n",
              "3736  August 1, 2018               5.2.0          4.4 and up  \n",
              "3755  August 3, 2018  Varies with device  Varies with device  \n",
              "3765  August 1, 2018               5.2.0          4.4 and up  \n",
              "3767  August 3, 2018  Varies with device  Varies with device  \n",
              "3816  August 1, 2018               5.2.0          4.4 and up  \n",
              "3819  August 3, 2018  Varies with device  Varies with device  \n",
              "4048  August 1, 2018  Varies with device  Varies with device  \n",
              "4147   July 31, 2018  Varies with device  Varies with device  \n",
              "5596   July 31, 2018          5.17.2.009          5.0 and up  \n",
              "9844  August 1, 2018               5.2.0          4.4 and up  "
            ]
          },
          "execution_count": 78,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df[df.Installs>100000000]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "vBwNcmEIn3tD"
      },
      "outputs": [],
      "source": [
        "df=df[df.Installs<=100000000].copy()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "JUVRf7Ryn3tD",
        "outputId": "b105dd32-6a52-4bdb-a7e5-e0b066ab94d9"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(8865, 13)"
            ]
          },
          "execution_count": 80,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "GAmP0a-_n3tD",
        "outputId": "550ffb7c-5ad2-421d-d273-1f0aec71fec0"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "App                object\n",
              "Category           object\n",
              "Rating            float64\n",
              "Reviews             int32\n",
              "Size                int32\n",
              "Installs            int64\n",
              "Type               object\n",
              "Price               int64\n",
              "Content Rating     object\n",
              "Genres             object\n",
              "Last Updated       object\n",
              "Current Ver        object\n",
              "Android Ver        object\n",
              "dtype: object"
            ]
          },
          "execution_count": 89,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.dtypes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "NdeaTjQ5n3tD",
        "outputId": "c7bac1f0-233d-4b4b-9081-9587ef1e2b7d"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 792x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(11,5))\n",
        "sns.scatterplot(df.Price,df.Rating,hue=df.Rating)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-qwhsGf_n3tE"
      },
      "outputs": [],
      "source": [
        "# Observation : While there is no clear pattern, it appears that the more expensive apps receive higher ratings.\n",
        "# Although there aren't many expensive apps, the pattern is clear."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "gHhxgxrUn3tE",
        "outputId": "d3744efe-ed46-4b62-b2b7-1333294e698c"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<AxesSubplot:xlabel='Size', ylabel='Rating'>"
            ]
          },
          "execution_count": 92,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(8,6))\n",
        "sns.scatterplot(df.Size,df.Rating,hue=df.Rating)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1Z2ciV0cn3tH"
      },
      "outputs": [],
      "source": [
        "# It's not a particularly clear pattern, but it appears that heavier apps are better rated."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "61gMXhXmn3tH",
        "outputId": "b0daa6a2-eaad-4550-b7c1-01d2e8f71741"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<AxesSubplot:xlabel='Reviews', ylabel='Rating'>"
            ]
          },
          "execution_count": 94,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(8,5))\n",
        "sns.scatterplot(df.Reviews,df.Rating,hue=df.Rating)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "iBjDoOHqn3tI"
      },
      "outputs": [],
      "source": [
        "# Observation : There is no apparent trend. There are fewer low-rated apps among the popular ones ,\n",
        "# and after a certain point, the rating is independent of popularity."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "rwlJtxEDn3tI",
        "outputId": "d2e13b98-f547-4689-d119-2f30571e8e78"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<AxesSubplot:xlabel='Content Rating', ylabel='Rating'>"
            ]
          },
          "execution_count": 95,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=[8,4])\n",
        "sns.boxplot(df['Content Rating'], df.Rating)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QgC9PwYsn3tI",
        "outputId": "172d814a-deed-46d5-9efe-9b81e9cf81d4"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "(array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
              "        17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32]),\n",
              " [Text(0, 0, 'ART_AND_DESIGN'),\n",
              "  Text(1, 0, 'AUTO_AND_VEHICLES'),\n",
              "  Text(2, 0, 'BEAUTY'),\n",
              "  Text(3, 0, 'BOOKS_AND_REFERENCE'),\n",
              "  Text(4, 0, 'BUSINESS'),\n",
              "  Text(5, 0, 'COMICS'),\n",
              "  Text(6, 0, 'COMMUNICATION'),\n",
              "  Text(7, 0, 'DATING'),\n",
              "  Text(8, 0, 'EDUCATION'),\n",
              "  Text(9, 0, 'ENTERTAINMENT'),\n",
              "  Text(10, 0, 'EVENTS'),\n",
              "  Text(11, 0, 'FINANCE'),\n",
              "  Text(12, 0, 'FOOD_AND_DRINK'),\n",
              "  Text(13, 0, 'HEALTH_AND_FITNESS'),\n",
              "  Text(14, 0, 'HOUSE_AND_HOME'),\n",
              "  Text(15, 0, 'LIBRARIES_AND_DEMO'),\n",
              "  Text(16, 0, 'LIFESTYLE'),\n",
              "  Text(17, 0, 'GAME'),\n",
              "  Text(18, 0, 'FAMILY'),\n",
              "  Text(19, 0, 'MEDICAL'),\n",
              "  Text(20, 0, 'SOCIAL'),\n",
              "  Text(21, 0, 'SHOPPING'),\n",
              "  Text(22, 0, 'PHOTOGRAPHY'),\n",
              "  Text(23, 0, 'SPORTS'),\n",
              "  Text(24, 0, 'TRAVEL_AND_LOCAL'),\n",
              "  Text(25, 0, 'TOOLS'),\n",
              "  Text(26, 0, 'PERSONALIZATION'),\n",
              "  Text(27, 0, 'PRODUCTIVITY'),\n",
              "  Text(28, 0, 'PARENTING'),\n",
              "  Text(29, 0, 'WEATHER'),\n",
              "  Text(30, 0, 'VIDEO_PLAYERS'),\n",
              "  Text(31, 0, 'NEWS_AND_MAGAZINES'),\n",
              "  Text(32, 0, 'MAPS_AND_NAVIGATION')])"
            ]
          },
          "execution_count": 96,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=[15,5])\n",
        "g=sns.boxplot(df.Category, df.Rating)\n",
        "plt.xticks(rotation=90)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Scl_9ZAFn3tI"
      },
      "outputs": [],
      "source": [
        "inp1=df.copy()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "C9tva8r_n3tI",
        "outputId": "0f4ccd8c-de02-4a09-ab47-e99f5fcb5c84"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count    8.865000e+03\n",
              "mean     4.815078e+06\n",
              "std      1.415604e+07\n",
              "min      5.000000e+00\n",
              "25%      1.000000e+04\n",
              "50%      5.000000e+05\n",
              "75%      5.000000e+06\n",
              "max      1.000000e+08\n",
              "Name: Installs, dtype: float64"
            ]
          },
          "execution_count": 99,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "inp1.Installs.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "IVetTXr-n3tI"
      },
      "outputs": [],
      "source": [
        "inp1.Installs = inp1.Installs.apply(np.log1p)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Nhxk9ZzGn3tI",
        "outputId": "3f36b398-cf4d-4133-caf8-5d524eea1485"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "count    8.865000e+03\n",
              "mean     1.024220e+05\n",
              "std      2.615093e+05\n",
              "min      1.000000e+00\n",
              "25%      1.590000e+02\n",
              "50%      4.251000e+03\n",
              "75%      5.614500e+04\n",
              "max      1.986068e+06\n",
              "Name: Reviews, dtype: float64"
            ]
          },
          "execution_count": 101,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "inp1.Reviews.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "LXqSmsjJn3tJ"
      },
      "outputs": [],
      "source": [
        "inp1.Reviews = inp1.Reviews.apply(np.log1p)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uP6LTGArn3tJ",
        "outputId": "5b522147-4361-421c-db35-cc1920d0015a"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "App                object\n",
              "Category           object\n",
              "Rating            float64\n",
              "Reviews           float64\n",
              "Size                int32\n",
              "Installs          float64\n",
              "Type               object\n",
              "Price               int64\n",
              "Content Rating     object\n",
              "Genres             object\n",
              "Last Updated       object\n",
              "Current Ver        object\n",
              "Android Ver        object\n",
              "dtype: object"
            ]
          },
          "execution_count": 103,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "inp1.dtypes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "1Toh8mDQn3tJ"
      },
      "outputs": [],
      "source": [
        "inp1.drop([\"App\",\"Last Updated\",\"Current Ver\",\"Android Ver\"],axis=1, inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fqzfb95An3tJ",
        "outputId": "06efe64c-cd01-4efc-87aa-b604ac93d65c"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(8865, 9)"
            ]
          },
          "execution_count": 105,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "inp1.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "BJFGqZN2n3tJ"
      },
      "outputs": [],
      "source": [
        "inp2=pd.get_dummies(inp1, drop_first=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Gs4NmoKOn3tJ",
        "outputId": "3355e2ae-782f-4907-8637-2d5defcee198"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Index(['Rating', 'Reviews', 'Size', 'Installs', 'Price',\n",
              "       'Category_AUTO_AND_VEHICLES', 'Category_BEAUTY',\n",
              "       'Category_BOOKS_AND_REFERENCE', 'Category_BUSINESS', 'Category_COMICS',\n",
              "       ...\n",
              "       'Genres_Tools', 'Genres_Tools;Education', 'Genres_Travel & Local',\n",
              "       'Genres_Travel & Local;Action & Adventure', 'Genres_Trivia',\n",
              "       'Genres_Video Players & Editors',\n",
              "       'Genres_Video Players & Editors;Creativity',\n",
              "       'Genres_Video Players & Editors;Music & Video', 'Genres_Weather',\n",
              "       'Genres_Word'],\n",
              "      dtype='object', length=157)"
            ]
          },
          "execution_count": 107,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "inp2.columns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "DaTmmfIGn3tJ"
      },
      "outputs": [],
      "source": [
        "from sklearn.model_selection import train_test_split"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4RwshHzqn3tK"
      },
      "outputs": [],
      "source": [
        "df_train, df_test = train_test_split(inp2, train_size = 0.7, random_state = 100)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5LMo-jjXn3tK",
        "outputId": "483ca51d-a194-409d-d298-e1bbdea5131f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "((6205, 157), (2660, 157))"
            ]
          },
          "execution_count": 110,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_train.shape, df_test.shape\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "EqnaOq9un3tK"
      },
      "outputs": [],
      "source": [
        "y_train = df_train.pop(\"Rating\")\n",
        "X_train = df_train"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5RTH217pn3tK"
      },
      "outputs": [],
      "source": [
        "y_test = df_test.pop(\"Rating\")\n",
        "X_test = df_test"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "TIZ_71Y_n3tK"
      },
      "outputs": [],
      "source": [
        "from sklearn.linear_model import LinearRegression"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "e73K6Oppn3tK"
      },
      "outputs": [],
      "source": [
        "lr = LinearRegression()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9NqDGM0en3tK",
        "outputId": "96d5c018-71b0-4408-c7ba-19c7e855485b"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "LinearRegression()"
            ]
          },
          "execution_count": 116,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "lr.fit(X_train, y_train)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Ax5yUNSen3tL",
        "outputId": "9cdd1841-85de-4d11-b243-932829a2e9bd"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.16333261407888644"
            ]
          },
          "execution_count": 117,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from sklearn.metrics import r2_score\n",
        "\n",
        "y_train_pred= lr.predict(X_train)\n",
        "\n",
        "r2_score(y_train, y_train_pred)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Q1y1GjM-n3tL",
        "outputId": "419b3c4e-6b4c-47c0-e79a-2a72ba35733f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.13985861358365193"
            ]
          },
          "execution_count": 118,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "y_test_pred= lr.predict(X_test)\n",
        "\n",
        "r2_score(y_test, y_test_pred)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_tC7wdV4n3tL",
        "outputId": "3cbfc6f4-5e87-454c-ff5a-fd0429818b7e"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Actual</th>\n",
              "      <th>Predicted</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>3.8</td>\n",
              "      <td>3.962464</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2.0</td>\n",
              "      <td>4.108801</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4.4</td>\n",
              "      <td>4.482961</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.2</td>\n",
              "      <td>4.259507</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4.6</td>\n",
              "      <td>4.315836</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>4.2</td>\n",
              "      <td>3.989839</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>4.3</td>\n",
              "      <td>4.027079</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>3.9</td>\n",
              "      <td>4.145043</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>3.5</td>\n",
              "      <td>4.013341</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>4.6</td>\n",
              "      <td>4.257708</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Actual  Predicted\n",
              "0     3.8   3.962464\n",
              "1     2.0   4.108801\n",
              "2     4.4   4.482961\n",
              "3     4.2   4.259507\n",
              "4     4.6   4.315836\n",
              "5     4.2   3.989839\n",
              "6     4.3   4.027079\n",
              "7     3.9   4.145043\n",
              "8     3.5   4.013341\n",
              "9     4.6   4.257708"
            ]
          },
          "execution_count": 119,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "Model=lr.fit(X_train, y_train)\n",
        "predict=lr.predict(X_test)\n",
        "\n",
        "y_test=np.array(y_test)\n",
        "predict=np.array(predict)\n",
        "a = pd.DataFrame({'Actual':y_test.flatten(),'Predicted':predict.flatten()});\n",
        "a.head(10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "in3WQGlDn3tL",
        "outputId": "975300fe-3309-4a5f-a0f3-81b6a6eac78e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<AxesSubplot:>"
            ]
          },
          "execution_count": 122,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "fig=a.head(25)\n",
        "fig.plot(kind='bar',figsize=(8,5))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5v_XM1JPn3tL",
        "outputId": "be6793f9-430c-488f-cfb8-78cd44394a0a"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/site-packages/statsmodels/base/model.py:1362: RuntimeWarning: invalid value encountered in true_divide\n",
            "  return self.params / self.bse\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<table class=\"simpletable\">\n",
              "<caption>OLS Regression Results</caption>\n",
              "<tr>\n",
              "  <th>Dep. Variable:</th>         <td>Rating</td>      <th>  R-squared (uncentered):</th>      <td>   0.987</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared (uncentered):</th> <td>   0.987</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th>          <td>   3758.</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Date:</th>             <td>Tue, 30 May 2023</td> <th>  Prob (F-statistic):</th>           <td>  0.00</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Time:</th>                 <td>13:42:05</td>     <th>  Log-Likelihood:    </th>          <td> -4256.6</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>No. Observations:</th>      <td>  6205</td>      <th>  AIC:               </th>          <td>   8759.</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Df Residuals:</th>          <td>  6082</td>      <th>  BIC:               </th>          <td>   9587.</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Df Model:</th>              <td>   123</td>      <th>                     </th>              <td> </td>   \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>              <td> </td>   \n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "                        <td></td>                          <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Reviews</th>                                      <td>    0.1738</td> <td>    0.006</td> <td>   27.610</td> <td> 0.000</td> <td>    0.161</td> <td>    0.186</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Size</th>                                         <td>-1.331e-07</td> <td> 3.27e-07</td> <td>   -0.407</td> <td> 0.684</td> <td>-7.74e-07</td> <td> 5.08e-07</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Installs</th>                                     <td>   -0.1482</td> <td>    0.006</td> <td>  -23.671</td> <td> 0.000</td> <td>   -0.160</td> <td>   -0.136</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Price</th>                                        <td>    0.0002</td> <td>    0.003</td> <td>    0.059</td> <td> 0.953</td> <td>   -0.006</td> <td>    0.006</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_AUTO_AND_VEHICLES</th>                   <td>    1.8278</td> <td>    0.132</td> <td>   13.867</td> <td> 0.000</td> <td>    1.569</td> <td>    2.086</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_BEAUTY</th>                              <td>    1.9330</td> <td>    0.135</td> <td>   14.314</td> <td> 0.000</td> <td>    1.668</td> <td>    2.198</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_BOOKS_AND_REFERENCE</th>                 <td>    1.8831</td> <td>    0.129</td> <td>   14.569</td> <td> 0.000</td> <td>    1.630</td> <td>    2.137</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_BUSINESS</th>                            <td>    1.7943</td> <td>    0.128</td> <td>   13.967</td> <td> 0.000</td> <td>    1.542</td> <td>    2.046</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_COMICS</th>                              <td>    2.6161</td> <td>    0.233</td> <td>   11.238</td> <td> 0.000</td> <td>    2.160</td> <td>    3.073</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_COMMUNICATION</th>                       <td>    1.7695</td> <td>    0.129</td> <td>   13.728</td> <td> 0.000</td> <td>    1.517</td> <td>    2.022</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_DATING</th>                              <td>    1.7175</td> <td>    0.130</td> <td>   13.227</td> <td> 0.000</td> <td>    1.463</td> <td>    1.972</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_EDUCATION</th>                           <td>    3.3217</td> <td>    0.268</td> <td>   12.409</td> <td> 0.000</td> <td>    2.797</td> <td>    3.846</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_ENTERTAINMENT</th>                       <td>    3.2252</td> <td>    0.268</td> <td>   12.046</td> <td> 0.000</td> <td>    2.700</td> <td>    3.750</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_EVENTS</th>                              <td>    1.9661</td> <td>    0.134</td> <td>   14.721</td> <td> 0.000</td> <td>    1.704</td> <td>    2.228</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_FAMILY</th>                              <td>    3.3510</td> <td>    0.261</td> <td>   12.863</td> <td> 0.000</td> <td>    2.840</td> <td>    3.862</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_FINANCE</th>                             <td>    1.7856</td> <td>    0.129</td> <td>   13.895</td> <td> 0.000</td> <td>    1.534</td> <td>    2.038</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_FOOD_AND_DRINK</th>                      <td>    1.7849</td> <td>    0.130</td> <td>   13.687</td> <td> 0.000</td> <td>    1.529</td> <td>    2.041</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_GAME</th>                                <td>    3.5623</td> <td>    0.256</td> <td>   13.891</td> <td> 0.000</td> <td>    3.060</td> <td>    4.065</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_HEALTH_AND_FITNESS</th>                  <td>    1.8192</td> <td>    0.129</td> <td>   14.140</td> <td> 0.000</td> <td>    1.567</td> <td>    2.071</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_HOUSE_AND_HOME</th>                      <td>    1.8263</td> <td>    0.132</td> <td>   13.873</td> <td> 0.000</td> <td>    1.568</td> <td>    2.084</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_LIBRARIES_AND_DEMO</th>                  <td>    1.8475</td> <td>    0.133</td> <td>   13.937</td> <td> 0.000</td> <td>    1.588</td> <td>    2.107</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_LIFESTYLE</th>                           <td>    1.7805</td> <td>    0.128</td> <td>   13.861</td> <td> 0.000</td> <td>    1.529</td> <td>    2.032</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_MAPS_AND_NAVIGATION</th>                 <td>    1.7466</td> <td>    0.130</td> <td>   13.406</td> <td> 0.000</td> <td>    1.491</td> <td>    2.002</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_MEDICAL</th>                             <td>    1.8362</td> <td>    0.128</td> <td>   14.302</td> <td> 0.000</td> <td>    1.585</td> <td>    2.088</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_NEWS_AND_MAGAZINES</th>                  <td>    1.7746</td> <td>    0.129</td> <td>   13.769</td> <td> 0.000</td> <td>    1.522</td> <td>    2.027</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_PARENTING</th>                           <td>    2.8340</td> <td>    0.212</td> <td>   13.398</td> <td> 0.000</td> <td>    2.419</td> <td>    3.249</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_PERSONALIZATION</th>                     <td>    1.8723</td> <td>    0.129</td> <td>   14.563</td> <td> 0.000</td> <td>    1.620</td> <td>    2.124</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_PHOTOGRAPHY</th>                         <td>    1.7898</td> <td>    0.129</td> <td>   13.896</td> <td> 0.000</td> <td>    1.537</td> <td>    2.042</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_PRODUCTIVITY</th>                        <td>    1.8130</td> <td>    0.129</td> <td>   14.099</td> <td> 0.000</td> <td>    1.561</td> <td>    2.065</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_SHOPPING</th>                            <td>    1.8176</td> <td>    0.129</td> <td>   14.087</td> <td> 0.000</td> <td>    1.565</td> <td>    2.071</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_SOCIAL</th>                              <td>    1.8042</td> <td>    0.129</td> <td>   14.008</td> <td> 0.000</td> <td>    1.552</td> <td>    2.057</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_SPORTS</th>                              <td>    3.5325</td> <td>    0.429</td> <td>    8.234</td> <td> 0.000</td> <td>    2.691</td> <td>    4.374</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_TOOLS</th>                               <td>    2.4014</td> <td>    0.235</td> <td>   10.222</td> <td> 0.000</td> <td>    1.941</td> <td>    2.862</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_TRAVEL_AND_LOCAL</th>                    <td>    2.3977</td> <td>    0.235</td> <td>   10.194</td> <td> 0.000</td> <td>    1.937</td> <td>    2.859</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_VIDEO_PLAYERS</th>                       <td>    3.3177</td> <td>    0.650</td> <td>    5.108</td> <td> 0.000</td> <td>    2.044</td> <td>    4.591</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Category_WEATHER</th>                             <td>    1.8294</td> <td>    0.132</td> <td>   13.824</td> <td> 0.000</td> <td>    1.570</td> <td>    2.089</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Type_Paid</th>                                    <td>   -0.0832</td> <td>    0.031</td> <td>   -2.719</td> <td> 0.007</td> <td>   -0.143</td> <td>   -0.023</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Content Rating_Everyone</th>                      <td>    0.9742</td> <td>    0.254</td> <td>    3.842</td> <td> 0.000</td> <td>    0.477</td> <td>    1.471</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Content Rating_Everyone 10+</th>                  <td>    0.9610</td> <td>    0.255</td> <td>    3.764</td> <td> 0.000</td> <td>    0.460</td> <td>    1.462</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Content Rating_Mature 17+</th>                    <td>    0.9194</td> <td>    0.256</td> <td>    3.598</td> <td> 0.000</td> <td>    0.418</td> <td>    1.420</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Content Rating_Teen</th>                          <td>    0.9624</td> <td>    0.254</td> <td>    3.790</td> <td> 0.000</td> <td>    0.465</td> <td>    1.460</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Content Rating_Unrated</th>                       <td>    0.9706</td> <td>    0.548</td> <td>    1.771</td> <td> 0.077</td> <td>   -0.104</td> <td>    2.045</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Action;Action & Adventure</th>             <td>    0.2836</td> <td>    0.140</td> <td>    2.020</td> <td> 0.043</td> <td>    0.008</td> <td>    0.559</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Adventure</th>                             <td>   -0.0078</td> <td>    0.077</td> <td>   -0.102</td> <td> 0.919</td> <td>   -0.158</td> <td>    0.143</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Adventure;Action & Adventure</th>          <td>    0.1765</td> <td>    0.291</td> <td>    0.608</td> <td> 0.543</td> <td>   -0.393</td> <td>    0.746</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Adventure;Brain Games</th>                 <td> 2.422e-11</td> <td> 3.01e-11</td> <td>    0.804</td> <td> 0.422</td> <td>-3.49e-11</td> <td> 8.33e-11</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Adventure;Education</th>                   <td>   -0.0090</td> <td>    0.491</td> <td>   -0.018</td> <td> 0.985</td> <td>   -0.973</td> <td>    0.955</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Arcade</th>                                <td>    0.0466</td> <td>    0.056</td> <td>    0.836</td> <td> 0.403</td> <td>   -0.063</td> <td>    0.156</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Arcade;Action & Adventure</th>             <td>    0.3087</td> <td>    0.178</td> <td>    1.734</td> <td> 0.083</td> <td>   -0.040</td> <td>    0.658</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Arcade;Pretend Play</th>                   <td>    0.4841</td> <td>    0.491</td> <td>    0.985</td> <td> 0.325</td> <td>   -0.479</td> <td>    1.448</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Art & Design</th>                          <td>    3.8781</td> <td>    0.266</td> <td>   14.554</td> <td> 0.000</td> <td>    3.356</td> <td>    4.400</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Art & Design;Creativity</th>               <td>    3.2673</td> <td>    0.299</td> <td>   10.924</td> <td> 0.000</td> <td>    2.681</td> <td>    3.854</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Art & Design;Pretend Play</th>             <td>    3.6776</td> <td>    0.549</td> <td>    6.700</td> <td> 0.000</td> <td>    2.602</td> <td>    4.754</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Auto & Vehicles</th>                       <td>    1.8278</td> <td>    0.132</td> <td>   13.867</td> <td> 0.000</td> <td>    1.569</td> <td>    2.086</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Beauty</th>                                <td>    1.9330</td> <td>    0.135</td> <td>   14.314</td> <td> 0.000</td> <td>    1.668</td> <td>    2.198</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Board</th>                                 <td>    0.0455</td> <td>    0.097</td> <td>    0.470</td> <td> 0.639</td> <td>   -0.144</td> <td>    0.235</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Board;Action & Adventure</th>              <td>    0.0357</td> <td>    0.491</td> <td>    0.073</td> <td> 0.942</td> <td>   -0.927</td> <td>    0.999</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Board;Brain Games</th>                     <td>    0.4293</td> <td>    0.179</td> <td>    2.401</td> <td> 0.016</td> <td>    0.079</td> <td>    0.780</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Board;Pretend Play</th>                    <td>-5.457e-12</td> <td> 6.63e-12</td> <td>   -0.823</td> <td> 0.410</td> <td>-1.85e-11</td> <td> 7.54e-12</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Books & Reference</th>                     <td>    1.8831</td> <td>    0.129</td> <td>   14.569</td> <td> 0.000</td> <td>    1.630</td> <td>    2.137</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Books & Reference;Education</th>           <td>   -0.2511</td> <td>    0.491</td> <td>   -0.511</td> <td> 0.609</td> <td>   -1.214</td> <td>    0.712</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Business</th>                              <td>    1.7943</td> <td>    0.128</td> <td>   13.967</td> <td> 0.000</td> <td>    1.542</td> <td>    2.046</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Card</th>                                  <td>   -0.0305</td> <td>    0.088</td> <td>   -0.348</td> <td> 0.728</td> <td>   -0.202</td> <td>    0.141</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Card;Action & Adventure</th>               <td>    0.0348</td> <td>    0.352</td> <td>    0.099</td> <td> 0.921</td> <td>   -0.656</td> <td>    0.725</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Card;Brain Games</th>                      <td>    0.6496</td> <td>    0.491</td> <td>    1.323</td> <td> 0.186</td> <td>   -0.313</td> <td>    1.612</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Casino</th>                                <td>    0.0592</td> <td>    0.098</td> <td>    0.602</td> <td> 0.547</td> <td>   -0.133</td> <td>    0.252</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Casual</th>                                <td>    0.1168</td> <td>    0.082</td> <td>    1.429</td> <td> 0.153</td> <td>   -0.043</td> <td>    0.277</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Casual;Action & Adventure</th>             <td>    0.1873</td> <td>    0.159</td> <td>    1.179</td> <td> 0.239</td> <td>   -0.124</td> <td>    0.499</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Casual;Brain Games</th>                    <td>    0.5367</td> <td>    0.176</td> <td>    3.053</td> <td> 0.002</td> <td>    0.192</td> <td>    0.881</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Casual;Creativity</th>                     <td>    0.3428</td> <td>    0.209</td> <td>    1.641</td> <td> 0.101</td> <td>   -0.067</td> <td>    0.752</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Casual;Education</th>                      <td>    0.3303</td> <td>    0.351</td> <td>    0.940</td> <td> 0.347</td> <td>   -0.358</td> <td>    1.019</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Casual;Music & Video</th>                  <td>    0.3334</td> <td>    0.491</td> <td>    0.679</td> <td> 0.497</td> <td>   -0.630</td> <td>    1.297</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Casual;Pretend Play</th>                   <td>    0.2136</td> <td>    0.123</td> <td>    1.737</td> <td> 0.082</td> <td>   -0.027</td> <td>    0.455</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Comics</th>                                <td>    0.8872</td> <td>    0.187</td> <td>    4.756</td> <td> 0.000</td> <td>    0.521</td> <td>    1.253</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Comics;Creativity</th>                     <td>    1.7290</td> <td>    0.337</td> <td>    5.132</td> <td> 0.000</td> <td>    1.069</td> <td>    2.389</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Communication</th>                         <td>    1.7695</td> <td>    0.129</td> <td>   13.728</td> <td> 0.000</td> <td>    1.517</td> <td>    2.022</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Communication;Creativity</th>              <td>    0.4034</td> <td>    0.491</td> <td>    0.821</td> <td> 0.412</td> <td>   -0.560</td> <td>    1.366</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Dating</th>                                <td>    1.7175</td> <td>    0.130</td> <td>   13.227</td> <td> 0.000</td> <td>    1.463</td> <td>    1.972</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Education</th>                             <td>    0.4233</td> <td>    0.081</td> <td>    5.234</td> <td> 0.000</td> <td>    0.265</td> <td>    0.582</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Education;Action & Adventure</th>          <td>    0.7637</td> <td>    0.291</td> <td>    2.623</td> <td> 0.009</td> <td>    0.193</td> <td>    1.335</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Education;Brain Games</th>                 <td>    0.2976</td> <td>    0.293</td> <td>    1.016</td> <td> 0.309</td> <td>   -0.276</td> <td>    0.872</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Education;Creativity</th>                  <td>    0.7196</td> <td>    0.231</td> <td>    3.110</td> <td> 0.002</td> <td>    0.266</td> <td>    1.173</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Education;Education</th>                   <td>    0.4962</td> <td>    0.122</td> <td>    4.077</td> <td> 0.000</td> <td>    0.258</td> <td>    0.735</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Education;Music & Video</th>               <td>    0.1570</td> <td>    0.351</td> <td>    0.447</td> <td> 0.655</td> <td>   -0.532</td> <td>    0.846</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Education;Pretend Play</th>                <td>    0.5640</td> <td>    0.136</td> <td>    4.161</td> <td> 0.000</td> <td>    0.298</td> <td>    0.830</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Educational</th>                           <td>    0.1384</td> <td>    0.131</td> <td>    1.055</td> <td> 0.291</td> <td>   -0.119</td> <td>    0.396</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Educational;Action & Adventure</th>        <td>    0.2273</td> <td>    0.290</td> <td>    0.783</td> <td> 0.434</td> <td>   -0.342</td> <td>    0.797</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Educational;Brain Games</th>               <td>    0.6853</td> <td>    0.290</td> <td>    2.361</td> <td> 0.018</td> <td>    0.116</td> <td>    1.254</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Educational;Creativity</th>                <td>    0.1471</td> <td>    0.291</td> <td>    0.506</td> <td> 0.613</td> <td>   -0.423</td> <td>    0.717</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Educational;Education</th>                 <td>    0.4463</td> <td>    0.117</td> <td>    3.801</td> <td> 0.000</td> <td>    0.216</td> <td>    0.677</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Educational;Pretend Play</th>              <td>    0.2967</td> <td>    0.154</td> <td>    1.923</td> <td> 0.055</td> <td>   -0.006</td> <td>    0.599</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Entertainment</th>                         <td>    0.2311</td> <td>    0.080</td> <td>    2.890</td> <td> 0.004</td> <td>    0.074</td> <td>    0.388</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Entertainment;Action & Adventure</th>      <td>    0.3932</td> <td>    0.351</td> <td>    1.119</td> <td> 0.263</td> <td>   -0.296</td> <td>    1.082</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Entertainment;Brain Games</th>             <td>    0.3671</td> <td>    0.199</td> <td>    1.843</td> <td> 0.065</td> <td>   -0.023</td> <td>    0.757</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Entertainment;Creativity</th>              <td>    0.5442</td> <td>    0.353</td> <td>    1.543</td> <td> 0.123</td> <td>   -0.147</td> <td>    1.236</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Entertainment;Education</th>               <td>    0.5773</td> <td>    0.491</td> <td>    1.175</td> <td> 0.240</td> <td>   -0.386</td> <td>    1.540</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Entertainment;Music & Video</th>           <td>    0.3248</td> <td>    0.146</td> <td>    2.218</td> <td> 0.027</td> <td>    0.038</td> <td>    0.612</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Entertainment;Pretend Play</th>            <td>   -0.0475</td> <td>    0.351</td> <td>   -0.135</td> <td> 0.893</td> <td>   -0.736</td> <td>    0.641</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Events</th>                                <td>    1.9661</td> <td>    0.134</td> <td>   14.721</td> <td> 0.000</td> <td>    1.704</td> <td>    2.228</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Finance</th>                               <td>    1.7856</td> <td>    0.129</td> <td>   13.895</td> <td> 0.000</td> <td>    1.534</td> <td>    2.038</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Food & Drink</th>                          <td>    1.7849</td> <td>    0.130</td> <td>   13.687</td> <td> 0.000</td> <td>    1.529</td> <td>    2.041</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Health & Fitness</th>                      <td>    1.8192</td> <td>    0.129</td> <td>   14.140</td> <td> 0.000</td> <td>    1.567</td> <td>    2.071</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Health & Fitness;Action & Adventure</th>   <td>   -0.1641</td> <td>    0.491</td> <td>   -0.334</td> <td> 0.738</td> <td>   -1.127</td> <td>    0.799</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Health & Fitness;Education</th>            <td> 2.661e-12</td> <td> 3.73e-12</td> <td>    0.713</td> <td> 0.476</td> <td>-4.65e-12</td> <td> 9.98e-12</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_House & Home</th>                          <td>    1.8263</td> <td>    0.132</td> <td>   13.873</td> <td> 0.000</td> <td>    1.568</td> <td>    2.084</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Libraries & Demo</th>                      <td>    1.8475</td> <td>    0.133</td> <td>   13.937</td> <td> 0.000</td> <td>    1.588</td> <td>    2.107</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Lifestyle</th>                             <td>    1.7805</td> <td>    0.128</td> <td>   13.861</td> <td> 0.000</td> <td>    1.529</td> <td>    2.032</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Lifestyle;Education</th>                   <td>    0.2822</td> <td>    0.491</td> <td>    0.575</td> <td> 0.566</td> <td>   -0.681</td> <td>    1.245</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Lifestyle;Pretend Play</th>                <td> 2.833e-12</td> <td>    4e-12</td> <td>    0.708</td> <td> 0.479</td> <td>-5.01e-12</td> <td> 1.07e-11</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Maps & Navigation</th>                     <td>    1.7466</td> <td>    0.130</td> <td>   13.406</td> <td> 0.000</td> <td>    1.491</td> <td>    2.002</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Medical</th>                               <td>    1.8362</td> <td>    0.128</td> <td>   14.302</td> <td> 0.000</td> <td>    1.585</td> <td>    2.088</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Music</th>                                 <td>   -0.1054</td> <td>    0.130</td> <td>   -0.811</td> <td> 0.417</td> <td>   -0.360</td> <td>    0.149</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Music & Audio;Music & Video</th>           <td>    0.6657</td> <td>    0.491</td> <td>    1.355</td> <td> 0.175</td> <td>   -0.297</td> <td>    1.629</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Music;Music & Video</th>                   <td>    0.7102</td> <td>    0.351</td> <td>    2.021</td> <td> 0.043</td> <td>    0.021</td> <td>    1.399</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_News & Magazines</th>                      <td>    1.7746</td> <td>    0.129</td> <td>   13.769</td> <td> 0.000</td> <td>    1.522</td> <td>    2.027</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Parenting</th>                             <td>    1.0243</td> <td>    0.131</td> <td>    7.822</td> <td> 0.000</td> <td>    0.768</td> <td>    1.281</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Parenting;Brain Games</th>                 <td>-5.489e-13</td> <td> 9.62e-13</td> <td>   -0.570</td> <td> 0.568</td> <td>-2.44e-12</td> <td> 1.34e-12</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Parenting;Education</th>                   <td>    0.6723</td> <td>    0.227</td> <td>    2.965</td> <td> 0.003</td> <td>    0.228</td> <td>    1.117</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Parenting;Music & Video</th>               <td>    1.1374</td> <td>    0.178</td> <td>    6.385</td> <td> 0.000</td> <td>    0.788</td> <td>    1.487</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Personalization</th>                       <td>    1.8723</td> <td>    0.129</td> <td>   14.563</td> <td> 0.000</td> <td>    1.620</td> <td>    2.124</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Photography</th>                           <td>    1.7898</td> <td>    0.129</td> <td>   13.896</td> <td> 0.000</td> <td>    1.537</td> <td>    2.042</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Productivity</th>                          <td>    1.8130</td> <td>    0.129</td> <td>   14.099</td> <td> 0.000</td> <td>    1.561</td> <td>    2.065</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Puzzle</th>                                <td>    0.3251</td> <td>    0.078</td> <td>    4.173</td> <td> 0.000</td> <td>    0.172</td> <td>    0.478</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Puzzle;Action & Adventure</th>             <td>    0.2474</td> <td>    0.230</td> <td>    1.076</td> <td> 0.282</td> <td>   -0.203</td> <td>    0.698</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Puzzle;Brain Games</th>                    <td>    0.3840</td> <td>    0.143</td> <td>    2.691</td> <td> 0.007</td> <td>    0.104</td> <td>    0.664</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Puzzle;Creativity</th>                     <td>    0.3472</td> <td>    0.351</td> <td>    0.988</td> <td> 0.323</td> <td>   -0.342</td> <td>    1.036</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Puzzle;Education</th>                      <td>    0.8149</td> <td>    0.491</td> <td>    1.659</td> <td> 0.097</td> <td>   -0.148</td> <td>    1.778</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Racing</th>                                <td>   -0.0667</td> <td>    0.072</td> <td>   -0.928</td> <td> 0.353</td> <td>   -0.208</td> <td>    0.074</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Racing;Action & Adventure</th>             <td>    0.3608</td> <td>    0.150</td> <td>    2.402</td> <td> 0.016</td> <td>    0.066</td> <td>    0.655</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Racing;Pretend Play</th>                   <td>    0.8945</td> <td>    0.491</td> <td>    1.820</td> <td> 0.069</td> <td>   -0.069</td> <td>    1.858</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Role Playing</th>                          <td>    0.1300</td> <td>    0.086</td> <td>    1.511</td> <td> 0.131</td> <td>   -0.039</td> <td>    0.299</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Role Playing;Action & Adventure</th>       <td>    0.2220</td> <td>    0.254</td> <td>    0.874</td> <td> 0.382</td> <td>   -0.276</td> <td>    0.720</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Role Playing;Brain Games</th>              <td>    0.2980</td> <td>    0.491</td> <td>    0.607</td> <td> 0.544</td> <td>   -0.665</td> <td>    1.261</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Role Playing;Pretend Play</th>             <td>    0.3661</td> <td>    0.290</td> <td>    1.261</td> <td> 0.207</td> <td>   -0.203</td> <td>    0.935</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Shopping</th>                              <td>    1.8176</td> <td>    0.129</td> <td>   14.087</td> <td> 0.000</td> <td>    1.565</td> <td>    2.071</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Simulation</th>                            <td>    0.1705</td> <td>    0.083</td> <td>    2.051</td> <td> 0.040</td> <td>    0.008</td> <td>    0.334</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Simulation;Action & Adventure</th>         <td>    0.3790</td> <td>    0.176</td> <td>    2.154</td> <td> 0.031</td> <td>    0.034</td> <td>    0.724</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Simulation;Education</th>                  <td>    0.0502</td> <td>    0.487</td> <td>    0.103</td> <td> 0.918</td> <td>   -0.905</td> <td>    1.006</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Simulation;Pretend Play</th>               <td>    0.1978</td> <td>    0.351</td> <td>    0.563</td> <td> 0.573</td> <td>   -0.491</td> <td>    0.887</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Social</th>                                <td>    1.8042</td> <td>    0.129</td> <td>   14.008</td> <td> 0.000</td> <td>    1.552</td> <td>    2.057</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Sports</th>                                <td>    0.0406</td> <td>    0.345</td> <td>    0.118</td> <td> 0.906</td> <td>   -0.636</td> <td>    0.718</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Sports;Action & Adventure</th>             <td>    0.1986</td> <td>    0.254</td> <td>    0.781</td> <td> 0.435</td> <td>   -0.300</td> <td>    0.697</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Strategy</th>                              <td>    0.0515</td> <td>    0.094</td> <td>    0.546</td> <td> 0.585</td> <td>   -0.133</td> <td>    0.236</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Strategy;Action & Adventure</th>           <td>         0</td> <td>        0</td> <td>      nan</td> <td>   nan</td> <td>        0</td> <td>        0</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Strategy;Creativity</th>                   <td>         0</td> <td>        0</td> <td>      nan</td> <td>   nan</td> <td>        0</td> <td>        0</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Strategy;Education</th>                    <td>    0.7989</td> <td>    0.491</td> <td>    1.626</td> <td> 0.104</td> <td>   -0.164</td> <td>    1.762</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Tools</th>                                 <td>    1.1022</td> <td>    0.183</td> <td>    6.011</td> <td> 0.000</td> <td>    0.743</td> <td>    1.462</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Tools;Education</th>                       <td>    1.2992</td> <td>    0.335</td> <td>    3.881</td> <td> 0.000</td> <td>    0.643</td> <td>    1.955</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Travel & Local</th>                        <td>    1.1427</td> <td>    0.185</td> <td>    6.182</td> <td> 0.000</td> <td>    0.780</td> <td>    1.505</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Travel & Local;Action & Adventure</th>     <td>    1.2550</td> <td>    0.335</td> <td>    3.748</td> <td> 0.000</td> <td>    0.599</td> <td>    1.911</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Trivia</th>                                <td>   -0.0297</td> <td>    0.114</td> <td>   -0.260</td> <td> 0.795</td> <td>   -0.254</td> <td>    0.195</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Video Players & Editors</th>               <td>    0.1383</td> <td>    0.602</td> <td>    0.230</td> <td> 0.818</td> <td>   -1.041</td> <td>    1.318</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Video Players & Editors;Creativity</th>    <td>   -0.0180</td> <td>    0.491</td> <td>   -0.037</td> <td> 0.971</td> <td>   -0.981</td> <td>    0.945</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Video Players & Editors;Music & Video</th> <td>    0.0855</td> <td>    0.351</td> <td>    0.243</td> <td> 0.808</td> <td>   -0.603</td> <td>    0.774</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Weather</th>                               <td>    1.8294</td> <td>    0.132</td> <td>   13.824</td> <td> 0.000</td> <td>    1.570</td> <td>    2.089</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Genres_Word</th>                                  <td>    0.1088</td> <td>    0.120</td> <td>    0.909</td> <td> 0.363</td> <td>   -0.126</td> <td>    0.343</td>\n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "  <th>Omnibus:</th>       <td>2334.947</td> <th>  Durbin-Watson:     </th> <td>   2.014</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Prob(Omnibus):</th>  <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td>14034.744</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Skew:</th>           <td>-1.684</td>  <th>  Prob(JB):          </th> <td>    0.00</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Kurtosis:</th>       <td> 9.553</td>  <th>  Cond. No.          </th> <td>1.41e+21</td> \n",
              "</tr>\n",
              "</table><br/><br/>Warnings:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.<br/>[2] The smallest eigenvalue is 3.23e-30. This might indicate that there are<br/>strong multicollinearity problems or that the design matrix is singular."
            ],
            "text/plain": [
              "<class 'statsmodels.iolib.summary.Summary'>\n",
              "\"\"\"\n",
              "                                 OLS Regression Results                                \n",
              "=======================================================================================\n",
              "Dep. Variable:                 Rating   R-squared (uncentered):                   0.987\n",
              "Model:                            OLS   Adj. R-squared (uncentered):              0.987\n",
              "Method:                 Least Squares   F-statistic:                              3758.\n",
              "Date:                Tue, 30 May 2023   Prob (F-statistic):                        0.00\n",
              "Time:                        13:42:05   Log-Likelihood:                         -4256.6\n",
              "No. Observations:                6205   AIC:                                      8759.\n",
              "Df Residuals:                    6082   BIC:                                      9587.\n",
              "Df Model:                         123                                                  \n",
              "Covariance Type:            nonrobust                                                  \n",
              "================================================================================================================\n",
              "                                                   coef    std err          t      P>|t|      [0.025      0.975]\n",
              "----------------------------------------------------------------------------------------------------------------\n",
              "Reviews                                          0.1738      0.006     27.610      0.000       0.161       0.186\n",
              "Size                                         -1.331e-07   3.27e-07     -0.407      0.684   -7.74e-07    5.08e-07\n",
              "Installs                                        -0.1482      0.006    -23.671      0.000      -0.160      -0.136\n",
              "Price                                            0.0002      0.003      0.059      0.953      -0.006       0.006\n",
              "Category_AUTO_AND_VEHICLES                       1.8278      0.132     13.867      0.000       1.569       2.086\n",
              "Category_BEAUTY                                  1.9330      0.135     14.314      0.000       1.668       2.198\n",
              "Category_BOOKS_AND_REFERENCE                     1.8831      0.129     14.569      0.000       1.630       2.137\n",
              "Category_BUSINESS                                1.7943      0.128     13.967      0.000       1.542       2.046\n",
              "Category_COMICS                                  2.6161      0.233     11.238      0.000       2.160       3.073\n",
              "Category_COMMUNICATION                           1.7695      0.129     13.728      0.000       1.517       2.022\n",
              "Category_DATING                                  1.7175      0.130     13.227      0.000       1.463       1.972\n",
              "Category_EDUCATION                               3.3217      0.268     12.409      0.000       2.797       3.846\n",
              "Category_ENTERTAINMENT                           3.2252      0.268     12.046      0.000       2.700       3.750\n",
              "Category_EVENTS                                  1.9661      0.134     14.721      0.000       1.704       2.228\n",
              "Category_FAMILY                                  3.3510      0.261     12.863      0.000       2.840       3.862\n",
              "Category_FINANCE                                 1.7856      0.129     13.895      0.000       1.534       2.038\n",
              "Category_FOOD_AND_DRINK                          1.7849      0.130     13.687      0.000       1.529       2.041\n",
              "Category_GAME                                    3.5623      0.256     13.891      0.000       3.060       4.065\n",
              "Category_HEALTH_AND_FITNESS                      1.8192      0.129     14.140      0.000       1.567       2.071\n",
              "Category_HOUSE_AND_HOME                          1.8263      0.132     13.873      0.000       1.568       2.084\n",
              "Category_LIBRARIES_AND_DEMO                      1.8475      0.133     13.937      0.000       1.588       2.107\n",
              "Category_LIFESTYLE                               1.7805      0.128     13.861      0.000       1.529       2.032\n",
              "Category_MAPS_AND_NAVIGATION                     1.7466      0.130     13.406      0.000       1.491       2.002\n",
              "Category_MEDICAL                                 1.8362      0.128     14.302      0.000       1.585       2.088\n",
              "Category_NEWS_AND_MAGAZINES                      1.7746      0.129     13.769      0.000       1.522       2.027\n",
              "Category_PARENTING                               2.8340      0.212     13.398      0.000       2.419       3.249\n",
              "Category_PERSONALIZATION                         1.8723      0.129     14.563      0.000       1.620       2.124\n",
              "Category_PHOTOGRAPHY                             1.7898      0.129     13.896      0.000       1.537       2.042\n",
              "Category_PRODUCTIVITY                            1.8130      0.129     14.099      0.000       1.561       2.065\n",
              "Category_SHOPPING                                1.8176      0.129     14.087      0.000       1.565       2.071\n",
              "Category_SOCIAL                                  1.8042      0.129     14.008      0.000       1.552       2.057\n",
              "Category_SPORTS                                  3.5325      0.429      8.234      0.000       2.691       4.374\n",
              "Category_TOOLS                                   2.4014      0.235     10.222      0.000       1.941       2.862\n",
              "Category_TRAVEL_AND_LOCAL                        2.3977      0.235     10.194      0.000       1.937       2.859\n",
              "Category_VIDEO_PLAYERS                           3.3177      0.650      5.108      0.000       2.044       4.591\n",
              "Category_WEATHER                                 1.8294      0.132     13.824      0.000       1.570       2.089\n",
              "Type_Paid                                       -0.0832      0.031     -2.719      0.007      -0.143      -0.023\n",
              "Content Rating_Everyone                          0.9742      0.254      3.842      0.000       0.477       1.471\n",
              "Content Rating_Everyone 10+                      0.9610      0.255      3.764      0.000       0.460       1.462\n",
              "Content Rating_Mature 17+                        0.9194      0.256      3.598      0.000       0.418       1.420\n",
              "Content Rating_Teen                              0.9624      0.254      3.790      0.000       0.465       1.460\n",
              "Content Rating_Unrated                           0.9706      0.548      1.771      0.077      -0.104       2.045\n",
              "Genres_Action;Action & Adventure                 0.2836      0.140      2.020      0.043       0.008       0.559\n",
              "Genres_Adventure                                -0.0078      0.077     -0.102      0.919      -0.158       0.143\n",
              "Genres_Adventure;Action & Adventure              0.1765      0.291      0.608      0.543      -0.393       0.746\n",
              "Genres_Adventure;Brain Games                  2.422e-11   3.01e-11      0.804      0.422   -3.49e-11    8.33e-11\n",
              "Genres_Adventure;Education                      -0.0090      0.491     -0.018      0.985      -0.973       0.955\n",
              "Genres_Arcade                                    0.0466      0.056      0.836      0.403      -0.063       0.156\n",
              "Genres_Arcade;Action & Adventure                 0.3087      0.178      1.734      0.083      -0.040       0.658\n",
              "Genres_Arcade;Pretend Play                       0.4841      0.491      0.985      0.325      -0.479       1.448\n",
              "Genres_Art & Design                              3.8781      0.266     14.554      0.000       3.356       4.400\n",
              "Genres_Art & Design;Creativity                   3.2673      0.299     10.924      0.000       2.681       3.854\n",
              "Genres_Art & Design;Pretend Play                 3.6776      0.549      6.700      0.000       2.602       4.754\n",
              "Genres_Auto & Vehicles                           1.8278      0.132     13.867      0.000       1.569       2.086\n",
              "Genres_Beauty                                    1.9330      0.135     14.314      0.000       1.668       2.198\n",
              "Genres_Board                                     0.0455      0.097      0.470      0.639      -0.144       0.235\n",
              "Genres_Board;Action & Adventure                  0.0357      0.491      0.073      0.942      -0.927       0.999\n",
              "Genres_Board;Brain Games                         0.4293      0.179      2.401      0.016       0.079       0.780\n",
              "Genres_Board;Pretend Play                    -5.457e-12   6.63e-12     -0.823      0.410   -1.85e-11    7.54e-12\n",
              "Genres_Books & Reference                         1.8831      0.129     14.569      0.000       1.630       2.137\n",
              "Genres_Books & Reference;Education              -0.2511      0.491     -0.511      0.609      -1.214       0.712\n",
              "Genres_Business                                  1.7943      0.128     13.967      0.000       1.542       2.046\n",
              "Genres_Card                                     -0.0305      0.088     -0.348      0.728      -0.202       0.141\n",
              "Genres_Card;Action & Adventure                   0.0348      0.352      0.099      0.921      -0.656       0.725\n",
              "Genres_Card;Brain Games                          0.6496      0.491      1.323      0.186      -0.313       1.612\n",
              "Genres_Casino                                    0.0592      0.098      0.602      0.547      -0.133       0.252\n",
              "Genres_Casual                                    0.1168      0.082      1.429      0.153      -0.043       0.277\n",
              "Genres_Casual;Action & Adventure                 0.1873      0.159      1.179      0.239      -0.124       0.499\n",
              "Genres_Casual;Brain Games                        0.5367      0.176      3.053      0.002       0.192       0.881\n",
              "Genres_Casual;Creativity                         0.3428      0.209      1.641      0.101      -0.067       0.752\n",
              "Genres_Casual;Education                          0.3303      0.351      0.940      0.347      -0.358       1.019\n",
              "Genres_Casual;Music & Video                      0.3334      0.491      0.679      0.497      -0.630       1.297\n",
              "Genres_Casual;Pretend Play                       0.2136      0.123      1.737      0.082      -0.027       0.455\n",
              "Genres_Comics                                    0.8872      0.187      4.756      0.000       0.521       1.253\n",
              "Genres_Comics;Creativity                         1.7290      0.337      5.132      0.000       1.069       2.389\n",
              "Genres_Communication                             1.7695      0.129     13.728      0.000       1.517       2.022\n",
              "Genres_Communication;Creativity                  0.4034      0.491      0.821      0.412      -0.560       1.366\n",
              "Genres_Dating                                    1.7175      0.130     13.227      0.000       1.463       1.972\n",
              "Genres_Education                                 0.4233      0.081      5.234      0.000       0.265       0.582\n",
              "Genres_Education;Action & Adventure              0.7637      0.291      2.623      0.009       0.193       1.335\n",
              "Genres_Education;Brain Games                     0.2976      0.293      1.016      0.309      -0.276       0.872\n",
              "Genres_Education;Creativity                      0.7196      0.231      3.110      0.002       0.266       1.173\n",
              "Genres_Education;Education                       0.4962      0.122      4.077      0.000       0.258       0.735\n",
              "Genres_Education;Music & Video                   0.1570      0.351      0.447      0.655      -0.532       0.846\n",
              "Genres_Education;Pretend Play                    0.5640      0.136      4.161      0.000       0.298       0.830\n",
              "Genres_Educational                               0.1384      0.131      1.055      0.291      -0.119       0.396\n",
              "Genres_Educational;Action & Adventure            0.2273      0.290      0.783      0.434      -0.342       0.797\n",
              "Genres_Educational;Brain Games                   0.6853      0.290      2.361      0.018       0.116       1.254\n",
              "Genres_Educational;Creativity                    0.1471      0.291      0.506      0.613      -0.423       0.717\n",
              "Genres_Educational;Education                     0.4463      0.117      3.801      0.000       0.216       0.677\n",
              "Genres_Educational;Pretend Play                  0.2967      0.154      1.923      0.055      -0.006       0.599\n",
              "Genres_Entertainment                             0.2311      0.080      2.890      0.004       0.074       0.388\n",
              "Genres_Entertainment;Action & Adventure          0.3932      0.351      1.119      0.263      -0.296       1.082\n",
              "Genres_Entertainment;Brain Games                 0.3671      0.199      1.843      0.065      -0.023       0.757\n",
              "Genres_Entertainment;Creativity                  0.5442      0.353      1.543      0.123      -0.147       1.236\n",
              "Genres_Entertainment;Education                   0.5773      0.491      1.175      0.240      -0.386       1.540\n",
              "Genres_Entertainment;Music & Video               0.3248      0.146      2.218      0.027       0.038       0.612\n",
              "Genres_Entertainment;Pretend Play               -0.0475      0.351     -0.135      0.893      -0.736       0.641\n",
              "Genres_Events                                    1.9661      0.134     14.721      0.000       1.704       2.228\n",
              "Genres_Finance                                   1.7856      0.129     13.895      0.000       1.534       2.038\n",
              "Genres_Food & Drink                              1.7849      0.130     13.687      0.000       1.529       2.041\n",
              "Genres_Health & Fitness                          1.8192      0.129     14.140      0.000       1.567       2.071\n",
              "Genres_Health & Fitness;Action & Adventure      -0.1641      0.491     -0.334      0.738      -1.127       0.799\n",
              "Genres_Health & Fitness;Education             2.661e-12   3.73e-12      0.713      0.476   -4.65e-12    9.98e-12\n",
              "Genres_House & Home                              1.8263      0.132     13.873      0.000       1.568       2.084\n",
              "Genres_Libraries & Demo                          1.8475      0.133     13.937      0.000       1.588       2.107\n",
              "Genres_Lifestyle                                 1.7805      0.128     13.861      0.000       1.529       2.032\n",
              "Genres_Lifestyle;Education                       0.2822      0.491      0.575      0.566      -0.681       1.245\n",
              "Genres_Lifestyle;Pretend Play                 2.833e-12      4e-12      0.708      0.479   -5.01e-12    1.07e-11\n",
              "Genres_Maps & Navigation                         1.7466      0.130     13.406      0.000       1.491       2.002\n",
              "Genres_Medical                                   1.8362      0.128     14.302      0.000       1.585       2.088\n",
              "Genres_Music                                    -0.1054      0.130     -0.811      0.417      -0.360       0.149\n",
              "Genres_Music & Audio;Music & Video               0.6657      0.491      1.355      0.175      -0.297       1.629\n",
              "Genres_Music;Music & Video                       0.7102      0.351      2.021      0.043       0.021       1.399\n",
              "Genres_News & Magazines                          1.7746      0.129     13.769      0.000       1.522       2.027\n",
              "Genres_Parenting                                 1.0243      0.131      7.822      0.000       0.768       1.281\n",
              "Genres_Parenting;Brain Games                 -5.489e-13   9.62e-13     -0.570      0.568   -2.44e-12    1.34e-12\n",
              "Genres_Parenting;Education                       0.6723      0.227      2.965      0.003       0.228       1.117\n",
              "Genres_Parenting;Music & Video                   1.1374      0.178      6.385      0.000       0.788       1.487\n",
              "Genres_Personalization                           1.8723      0.129     14.563      0.000       1.620       2.124\n",
              "Genres_Photography                               1.7898      0.129     13.896      0.000       1.537       2.042\n",
              "Genres_Productivity                              1.8130      0.129     14.099      0.000       1.561       2.065\n",
              "Genres_Puzzle                                    0.3251      0.078      4.173      0.000       0.172       0.478\n",
              "Genres_Puzzle;Action & Adventure                 0.2474      0.230      1.076      0.282      -0.203       0.698\n",
              "Genres_Puzzle;Brain Games                        0.3840      0.143      2.691      0.007       0.104       0.664\n",
              "Genres_Puzzle;Creativity                         0.3472      0.351      0.988      0.323      -0.342       1.036\n",
              "Genres_Puzzle;Education                          0.8149      0.491      1.659      0.097      -0.148       1.778\n",
              "Genres_Racing                                   -0.0667      0.072     -0.928      0.353      -0.208       0.074\n",
              "Genres_Racing;Action & Adventure                 0.3608      0.150      2.402      0.016       0.066       0.655\n",
              "Genres_Racing;Pretend Play                       0.8945      0.491      1.820      0.069      -0.069       1.858\n",
              "Genres_Role Playing                              0.1300      0.086      1.511      0.131      -0.039       0.299\n",
              "Genres_Role Playing;Action & Adventure           0.2220      0.254      0.874      0.382      -0.276       0.720\n",
              "Genres_Role Playing;Brain Games                  0.2980      0.491      0.607      0.544      -0.665       1.261\n",
              "Genres_Role Playing;Pretend Play                 0.3661      0.290      1.261      0.207      -0.203       0.935\n",
              "Genres_Shopping                                  1.8176      0.129     14.087      0.000       1.565       2.071\n",
              "Genres_Simulation                                0.1705      0.083      2.051      0.040       0.008       0.334\n",
              "Genres_Simulation;Action & Adventure             0.3790      0.176      2.154      0.031       0.034       0.724\n",
              "Genres_Simulation;Education                      0.0502      0.487      0.103      0.918      -0.905       1.006\n",
              "Genres_Simulation;Pretend Play                   0.1978      0.351      0.563      0.573      -0.491       0.887\n",
              "Genres_Social                                    1.8042      0.129     14.008      0.000       1.552       2.057\n",
              "Genres_Sports                                    0.0406      0.345      0.118      0.906      -0.636       0.718\n",
              "Genres_Sports;Action & Adventure                 0.1986      0.254      0.781      0.435      -0.300       0.697\n",
              "Genres_Strategy                                  0.0515      0.094      0.546      0.585      -0.133       0.236\n",
              "Genres_Strategy;Action & Adventure                    0          0        nan        nan           0           0\n",
              "Genres_Strategy;Creativity                            0          0        nan        nan           0           0\n",
              "Genres_Strategy;Education                        0.7989      0.491      1.626      0.104      -0.164       1.762\n",
              "Genres_Tools                                     1.1022      0.183      6.011      0.000       0.743       1.462\n",
              "Genres_Tools;Education                           1.2992      0.335      3.881      0.000       0.643       1.955\n",
              "Genres_Travel & Local                            1.1427      0.185      6.182      0.000       0.780       1.505\n",
              "Genres_Travel & Local;Action & Adventure         1.2550      0.335      3.748      0.000       0.599       1.911\n",
              "Genres_Trivia                                   -0.0297      0.114     -0.260      0.795      -0.254       0.195\n",
              "Genres_Video Players & Editors                   0.1383      0.602      0.230      0.818      -1.041       1.318\n",
              "Genres_Video Players & Editors;Creativity       -0.0180      0.491     -0.037      0.971      -0.981       0.945\n",
              "Genres_Video Players & Editors;Music & Video     0.0855      0.351      0.243      0.808      -0.603       0.774\n",
              "Genres_Weather                                   1.8294      0.132     13.824      0.000       1.570       2.089\n",
              "Genres_Word                                      0.1088      0.120      0.909      0.363      -0.126       0.343\n",
              "==============================================================================\n",
              "Omnibus:                     2334.947   Durbin-Watson:                   2.014\n",
              "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            14034.744\n",
              "Skew:                          -1.684   Prob(JB):                         0.00\n",
              "Kurtosis:                       9.553   Cond. No.                     1.41e+21\n",
              "==============================================================================\n",
              "\n",
              "Warnings:\n",
              "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
              "[2] The smallest eigenvalue is 3.23e-30. This might indicate that there are\n",
              "strong multicollinearity problems or that the design matrix is singular.\n",
              "\"\"\""
            ]
          },
          "execution_count": 123,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from statsmodels.api import OLS\n",
        "results=OLS( y_train,X_train).fit()\n",
        "results.summary()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-31BLdEQn3tM"
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.6"
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}