EDA_googleplaystore raw.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d5abbe39",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Different graphs and use cases\n",
    "#Scatterplot >> to understand relationship between two variable\n",
    "#Line chart >> whernever on x axis, we have time component\n",
    "#bar chart >> for categorical data\n",
    "#count plot >>  for categorical data\n",
    "#pie chart >> for the distribution of different unique classes\n",
    "#box plot and violin plot >> To determine outlier\n",
    "#histogram/distribution >> for continuous data\n",
    "#heat map >>  to understand the correlation\n",
    "#Pairplot >> all the numerical relationship in one plot\n",
    "#join plot >> relationship and distribution of data\n",
    "#swarmplot/relplot >> scatterplot\n",
    "#lmlpot >> reg line"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "83f08d06",
   "metadata": {},
   "outputs": [],
   "source": [
    "#EDA and data preparation is different, data prep will be taught after Statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c6426233",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "145ae9dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#EDA >> Exploratory data analysis\n",
    "#data ingestion \n",
    "#EDA(data analysis)\n",
    "#Data Prep/data preprocessing/feature engineering\n",
    "#modelling\n",
    "-- profile of data\n",
    "-- statistical based analysis\n",
    "-- Graphs based analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bfae2aec",
   "metadata": {},
   "outputs": [],
   "source": [
    "#automated EDA >> pandas profiling, D-tale, dabl, SweetViz, datatile, QuickDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9667bf28",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "800f63ef",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"googleplaystore.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "dc89c6db",
   "metadata": {},
   "outputs": [
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       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
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       "      <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",
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       "      <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",
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       "      <td>967</td>\n",
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       "      <td>0</td>\n",
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       "      <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",
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       "    <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",
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       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <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>1.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10838</th>\n",
       "      <td>Parkinson Exercices FR</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>9.5M</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>January 20, 2017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2 and up</td>\n",
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       "    <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",
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       "<p>10841 rows × 13 columns</p>\n",
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      "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",
       "10836                                   Sya9a Maroc - FR               FAMILY   \n",
       "10837                   Fr. Mike Schmitz Audio Teachings               FAMILY   \n",
       "10838                             Parkinson Exercices FR              MEDICAL   \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",
       "10836     4.5      38                 53M       5,000+  Free     0   \n",
       "10837     5.0       4                3.6M         100+  Free     0   \n",
       "10838     NaN       3                9.5M       1,000+  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",
       "10836       Everyone                  Education     July 25, 2017   \n",
       "10837       Everyone                  Education      July 6, 2018   \n",
       "10838       Everyone                    Medical  January 20, 2017   \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",
       "10836                1.48          4.1 and up  \n",
       "10837                 1.0          4.1 and up  \n",
       "10838                 1.0          2.2 and up  \n",
       "10839  Varies with device  Varies with device  \n",
       "10840  Varies with device  Varies with device  \n",
       "\n",
       "[10841 rows x 13 columns]"
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       "      <td>Photo Editor &amp; Candy Camera &amp; Grid &amp; ScrapBook</td>\n",
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       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 1, 2018</td>\n",
       "      <td>1.2.4</td>\n",
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       "    <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",
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      "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  "
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</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>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>1.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10838</th>\n",
       "      <td>Parkinson Exercices FR</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>9.5M</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>January 20, 2017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2 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",
       "</div>"
      ],
      "text/plain": [
       "                                                 App             Category  \\\n",
       "10836                               Sya9a Maroc - FR               FAMILY   \n",
       "10837               Fr. Mike Schmitz Audio Teachings               FAMILY   \n",
       "10838                         Parkinson Exercices FR              MEDICAL   \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",
       "10836     4.5      38                 53M       5,000+  Free     0   \n",
       "10837     5.0       4                3.6M         100+  Free     0   \n",
       "10838     NaN       3                9.5M       1,000+  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         Current Ver  \\\n",
       "10836       Everyone          Education     July 25, 2017                1.48   \n",
       "10837       Everyone          Education      July 6, 2018                 1.0   \n",
       "10838       Everyone            Medical  January 20, 2017                 1.0   \n",
       "10839     Mature 17+  Books & Reference  January 19, 2015  Varies with device   \n",
       "10840       Everyone          Lifestyle     July 25, 2018  Varies with device   \n",
       "\n",
       "              Android Ver  \n",
       "10836          4.1 and up  \n",
       "10837          4.1 and up  \n",
       "10838          2.2 and up  \n",
       "10839  Varies with device  \n",
       "10840  Varies with device  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "cd28ffce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</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>1413</th>\n",
       "      <td>Calorie Counter - Macros</td>\n",
       "      <td>HEALTH_AND_FITNESS</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3061</td>\n",
       "      <td>5.5M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Health &amp; Fitness</td>\n",
       "      <td>August 27, 2016</td>\n",
       "      <td>2.3.4</td>\n",
       "      <td>5.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9629</th>\n",
       "      <td>Learn English Daily</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.5</td>\n",
       "      <td>7881</td>\n",
       "      <td>53M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Education</td>\n",
       "      <td>May 6, 2018</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>Should I Answer?</td>\n",
       "      <td>COMMUNICATION</td>\n",
       "      <td>4.8</td>\n",
       "      <td>237468</td>\n",
       "      <td>8.8M</td>\n",
       "      <td>1,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Communication</td>\n",
       "      <td>July 26, 2018</td>\n",
       "      <td>2018.1.715</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4501</th>\n",
       "      <td>Quora</td>\n",
       "      <td>SOCIAL</td>\n",
       "      <td>4.5</td>\n",
       "      <td>313403</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>10,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Social</td>\n",
       "      <td>July 25, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>Varies with device</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9375</th>\n",
       "      <td>Fit the Fat 2</td>\n",
       "      <td>SPORTS</td>\n",
       "      <td>3.8</td>\n",
       "      <td>35746</td>\n",
       "      <td>55M</td>\n",
       "      <td>5,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Sports</td>\n",
       "      <td>December 15, 2017</td>\n",
       "      <td>1.4.3</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           App            Category  Rating Reviews  \\\n",
       "1413  Calorie Counter - Macros  HEALTH_AND_FITNESS     4.0    3061   \n",
       "9629       Learn English Daily              FAMILY     4.5    7881   \n",
       "438           Should I Answer?       COMMUNICATION     4.8  237468   \n",
       "4501                     Quora              SOCIAL     4.5  313403   \n",
       "9375             Fit the Fat 2              SPORTS     3.8   35746   \n",
       "\n",
       "                    Size     Installs  Type Price Content Rating  \\\n",
       "1413                5.5M     100,000+  Free     0       Everyone   \n",
       "9629                 53M     500,000+  Free     0       Everyone   \n",
       "438                 8.8M   1,000,000+  Free     0       Everyone   \n",
       "4501  Varies with device  10,000,000+  Free     0           Teen   \n",
       "9375                 55M   5,000,000+  Free     0       Everyone   \n",
       "\n",
       "                Genres       Last Updated         Current Ver  \\\n",
       "1413  Health & Fitness    August 27, 2016               2.3.4   \n",
       "9629         Education        May 6, 2018                 7.0   \n",
       "438      Communication      July 26, 2018          2018.1.715   \n",
       "4501            Social      July 25, 2018  Varies with device   \n",
       "9375            Sports  December 15, 2017               1.4.3   \n",
       "\n",
       "             Android Ver  \n",
       "1413          5.0 and up  \n",
       "9629          4.0 and up  \n",
       "438           4.0 and up  \n",
       "4501  Varies with device  \n",
       "9375        4.0.3 and up  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "88ef9351",
   "metadata": {},
   "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": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "410c85b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>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": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe() #will only give for numerical "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "fcf85a13",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  </thead>\n",
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       "      <td>10841</td>\n",
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       "      <td>10833</td>\n",
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       "      <td>34</td>\n",
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       "      <td>6002</td>\n",
       "      <td>462</td>\n",
       "      <td>22</td>\n",
       "      <td>3</td>\n",
       "      <td>93</td>\n",
       "      <td>6</td>\n",
       "      <td>120</td>\n",
       "      <td>1378</td>\n",
       "      <td>2832</td>\n",
       "      <td>33</td>\n",
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       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>ROBLOX</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
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       "      <td>1,000,000+</td>\n",
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       "      <td>0</td>\n",
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       "      <td>Tools</td>\n",
       "      <td>August 3, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
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       "      <td>1459</td>\n",
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       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>4.193338</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.537431</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.300000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           App Category       Rating Reviews                Size    Installs  \\\n",
       "count    10841    10841  9367.000000   10841               10841       10841   \n",
       "unique    9660       34          NaN    6002                 462          22   \n",
       "top     ROBLOX   FAMILY          NaN       0  Varies with device  1,000,000+   \n",
       "freq         9     1972          NaN     596                1695        1579   \n",
       "mean       NaN      NaN     4.193338     NaN                 NaN         NaN   \n",
       "std        NaN      NaN     0.537431     NaN                 NaN         NaN   \n",
       "min        NaN      NaN     1.000000     NaN                 NaN         NaN   \n",
       "25%        NaN      NaN     4.000000     NaN                 NaN         NaN   \n",
       "50%        NaN      NaN     4.300000     NaN                 NaN         NaN   \n",
       "75%        NaN      NaN     4.500000     NaN                 NaN         NaN   \n",
       "max        NaN      NaN    19.000000     NaN                 NaN         NaN   \n",
       "\n",
       "         Type  Price Content Rating Genres    Last Updated  \\\n",
       "count   10840  10841          10840  10841           10841   \n",
       "unique      3     93              6    120            1378   \n",
       "top      Free      0       Everyone  Tools  August 3, 2018   \n",
       "freq    10039  10040           8714    842             326   \n",
       "mean      NaN    NaN            NaN    NaN             NaN   \n",
       "std       NaN    NaN            NaN    NaN             NaN   \n",
       "min       NaN    NaN            NaN    NaN             NaN   \n",
       "25%       NaN    NaN            NaN    NaN             NaN   \n",
       "50%       NaN    NaN            NaN    NaN             NaN   \n",
       "75%       NaN    NaN            NaN    NaN             NaN   \n",
       "max       NaN    NaN            NaN    NaN             NaN   \n",
       "\n",
       "               Current Ver Android Ver  \n",
       "count                10833       10838  \n",
       "unique                2832          33  \n",
       "top     Varies with device  4.1 and up  \n",
       "freq                  1459        2451  \n",
       "mean                   NaN         NaN  \n",
       "std                    NaN         NaN  \n",
       "min                    NaN         NaN  \n",
       "25%                    NaN         NaN  \n",
       "50%                    NaN         NaN  \n",
       "75%                    NaN         NaN  \n",
       "max                    NaN         NaN  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#insights >> outlier, wrong value\n",
    "\n",
    "\n",
    "df.describe(include = \"all\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "0f67692d",
   "metadata": {},
   "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>229</th>\n",
       "      <td>Quick PDF Scanner + OCR FREE</td>\n",
       "      <td>BUSINESS</td>\n",
       "      <td>4.2</td>\n",
       "      <td>80805</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>5,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Business</td>\n",
       "      <td>February 26, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>Box</td>\n",
       "      <td>BUSINESS</td>\n",
       "      <td>4.2</td>\n",
       "      <td>159872</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>10,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Business</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>239</th>\n",
       "      <td>Google My Business</td>\n",
       "      <td>BUSINESS</td>\n",
       "      <td>4.4</td>\n",
       "      <td>70991</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>5,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Business</td>\n",
       "      <td>July 24, 2018</td>\n",
       "      <td>2.19.0.204537701</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>ZOOM Cloud Meetings</td>\n",
       "      <td>BUSINESS</td>\n",
       "      <td>4.4</td>\n",
       "      <td>31614</td>\n",
       "      <td>37M</td>\n",
       "      <td>10,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Business</td>\n",
       "      <td>July 20, 2018</td>\n",
       "      <td>4.1.28165.0716</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>join.me - Simple Meetings</td>\n",
       "      <td>BUSINESS</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6989</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>1,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Business</td>\n",
       "      <td>July 16, 2018</td>\n",
       "      <td>4.3.0.508</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>8643</th>\n",
       "      <td>Wunderlist: To-Do List &amp; Tasks</td>\n",
       "      <td>PRODUCTIVITY</td>\n",
       "      <td>4.6</td>\n",
       "      <td>404610</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>10,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Productivity</td>\n",
       "      <td>April 6, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>Varies with device</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8654</th>\n",
       "      <td>TickTick: To Do List with Reminder, Day Planner</td>\n",
       "      <td>PRODUCTIVITY</td>\n",
       "      <td>4.6</td>\n",
       "      <td>25370</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>1,000,000+</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>8658</th>\n",
       "      <td>ColorNote Notepad Notes</td>\n",
       "      <td>PRODUCTIVITY</td>\n",
       "      <td>4.6</td>\n",
       "      <td>2401017</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>100,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Productivity</td>\n",
       "      <td>June 27, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>Varies with device</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10049</th>\n",
       "      <td>Airway Ex - Intubate. Anesthetize. Train.</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>4.3</td>\n",
       "      <td>123</td>\n",
       "      <td>86M</td>\n",
       "      <td>10,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>June 1, 2018</td>\n",
       "      <td>0.6.88</td>\n",
       "      <td>5.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10768</th>\n",
       "      <td>AAFP</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>3.8</td>\n",
       "      <td>63</td>\n",
       "      <td>24M</td>\n",
       "      <td>10,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>June 22, 2018</td>\n",
       "      <td>2.3.1</td>\n",
       "      <td>5.0 and up</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>483 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   App      Category  Rating  \\\n",
       "229                       Quick PDF Scanner + OCR FREE      BUSINESS     4.2   \n",
       "236                                                Box      BUSINESS     4.2   \n",
       "239                                 Google My Business      BUSINESS     4.4   \n",
       "256                                ZOOM Cloud Meetings      BUSINESS     4.4   \n",
       "261                          join.me - Simple Meetings      BUSINESS     4.0   \n",
       "...                                                ...           ...     ...   \n",
       "8643                    Wunderlist: To-Do List & Tasks  PRODUCTIVITY     4.6   \n",
       "8654   TickTick: To Do List with Reminder, Day Planner  PRODUCTIVITY     4.6   \n",
       "8658                           ColorNote Notepad Notes  PRODUCTIVITY     4.6   \n",
       "10049        Airway Ex - Intubate. Anesthetize. Train.       MEDICAL     4.3   \n",
       "10768                                             AAFP       MEDICAL     3.8   \n",
       "\n",
       "       Reviews                Size      Installs  Type Price Content Rating  \\\n",
       "229      80805  Varies with device    5,000,000+  Free     0       Everyone   \n",
       "236     159872  Varies with device   10,000,000+  Free     0       Everyone   \n",
       "239      70991  Varies with device    5,000,000+  Free     0       Everyone   \n",
       "256      31614                 37M   10,000,000+  Free     0       Everyone   \n",
       "261       6989  Varies with device    1,000,000+  Free     0       Everyone   \n",
       "...        ...                 ...           ...   ...   ...            ...   \n",
       "8643    404610  Varies with device   10,000,000+  Free     0       Everyone   \n",
       "8654     25370  Varies with device    1,000,000+  Free     0       Everyone   \n",
       "8658   2401017  Varies with device  100,000,000+  Free     0       Everyone   \n",
       "10049      123                 86M       10,000+  Free     0       Everyone   \n",
       "10768       63                 24M       10,000+  Free     0       Everyone   \n",
       "\n",
       "             Genres       Last Updated         Current Ver         Android Ver  \n",
       "229        Business  February 26, 2018  Varies with device        4.0.3 and up  \n",
       "236        Business      July 31, 2018  Varies with device  Varies with device  \n",
       "239        Business      July 24, 2018    2.19.0.204537701          4.4 and up  \n",
       "256        Business      July 20, 2018      4.1.28165.0716          4.0 and up  \n",
       "261        Business      July 16, 2018           4.3.0.508          4.4 and up  \n",
       "...             ...                ...                 ...                 ...  \n",
       "8643   Productivity      April 6, 2018  Varies with device  Varies with device  \n",
       "8654   Productivity     August 6, 2018  Varies with device  Varies with device  \n",
       "8658   Productivity      June 27, 2018  Varies with device  Varies with device  \n",
       "10049       Medical       June 1, 2018              0.6.88          5.0 and up  \n",
       "10768       Medical      June 22, 2018               2.3.1          5.0 and up  \n",
       "\n",
       "[483 rows x 13 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to check duplicate value\n",
    "df[df.duplicated()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "f95a4de8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "483"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum() #drop the duplicate because statistical will not make sense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "c0d78fe7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df.drop_duplicates(inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "c0e8a4c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "483"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "3cf2b027",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
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       "      <th>App</th>\n",
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       "      <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",
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       "      <td>0</td>\n",
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       "      <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>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>1.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10838</th>\n",
       "      <td>Parkinson Exercices FR</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>9.5M</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>January 20, 2017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2 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>10841 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",
       "10836                                   Sya9a Maroc - FR               FAMILY   \n",
       "10837                   Fr. Mike Schmitz Audio Teachings               FAMILY   \n",
       "10838                             Parkinson Exercices FR              MEDICAL   \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",
       "10836     4.5      38                 53M       5,000+  Free     0   \n",
       "10837     5.0       4                3.6M         100+  Free     0   \n",
       "10838     NaN       3                9.5M       1,000+  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",
       "10836       Everyone                  Education     July 25, 2017   \n",
       "10837       Everyone                  Education      July 6, 2018   \n",
       "10838       Everyone                    Medical  January 20, 2017   \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",
       "10836                1.48          4.1 and up  \n",
       "10837                 1.0          4.1 and up  \n",
       "10838                 1.0          2.2 and up  \n",
       "10839  Varies with device  Varies with device  \n",
       "10840  Varies with device  Varies with device  \n",
       "\n",
       "[10841 rows x 13 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "53bf90ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['App', 'Category', 'Rating', 'Reviews', 'Size', 'Installs', 'Type',\n",
       "       'Price', 'Content Rating', 'Genres', 'Last Updated', 'Current Ver',\n",
       "       'Android Ver'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "6bcc333c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        4.1\n",
       "1        3.9\n",
       "2        4.7\n",
       "3        4.5\n",
       "4        4.3\n",
       "        ... \n",
       "10836    4.5\n",
       "10837    5.0\n",
       "10838    NaN\n",
       "10839    4.5\n",
       "10840    4.5\n",
       "Name: Rating, Length: 10841, dtype: float64"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Rating'] #continuous variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "d1238b18",
   "metadata": {},
   "outputs": [],
   "source": [
    "#categorical> 0, 1, 2, 3, 4, 5\n",
    "#1.1., 1.2, 1.2 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "c8a5749e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('float64')"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Rating'].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "9a6339e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0           159\n",
       "1           967\n",
       "2         87510\n",
       "3        215644\n",
       "4           967\n",
       "          ...  \n",
       "10836        38\n",
       "10837         4\n",
       "10838         3\n",
       "10839       114\n",
       "10840    398307\n",
       "Name: Reviews, Length: 10841, dtype: object"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Reviews']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "dcf66119",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('O')"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Reviews'].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "908122f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['159', '967', '87510', '215644', '167', '178', '36815', '13791',\n",
       "       '121', '13880', '8788', '44829', '4326', '1518', '55', '3632',\n",
       "       '27', '194216', '224399', '450', '654', '7699', '61', '118', '192',\n",
       "       '20260', '203', '136', '223', '1120', '227', '5035', '1015', '353',\n",
       "       '564', '8145', '36639', '158', '591', '117', '176', '295221',\n",
       "       '2206', '26', '174531', '1070', '85', '845', '367', '1598', '284',\n",
       "       '17057', '129', '542', '10479', '805', '1403', '3971', '534',\n",
       "       '7774', '38846', '2431', '6090', '295', '190', '40211', '356',\n",
       "       '52530', '116986', '1379', '271920', '736', '7021', '197', '737',\n",
       "       '3574', '994', '197136', '142', '15168', '2155', '138', '5414',\n",
       "       '21777', '348', '250', '13372', '7880', '3617', '4806', '65786',\n",
       "       '31433', '5097', '1754', '2680', '1288', '18900', '49790', '1150',\n",
       "       '1739', '32090', '2225', '4369', '8572', '964', '42050', '104',\n",
       "       '17934', '601', '36', '187', '182', '30', '134', '74', '113715',\n",
       "       '3595', '9315', '75', '38', '26834', '119', '2277', '2280', '184',\n",
       "       '9', '77', '35', '364', '18', '473', '66', '3871', '257', '62',\n",
       "       '2914724', '1857', '4478', '577550', '814080', '246315', '454060',\n",
       "       '155446', '418', '22486', '203130', '1435', '116507', '1433233',\n",
       "       '90468', '860', '363934', '87873', '17506', '1862', '2084',\n",
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       "       '341157', '16129', '674730', '1254730', '85185', '32584', '217730',\n",
       "       '70991', '1002861', '16589', '148945', '4458', '62272', '8941',\n",
       "       '46353', '1279184', '88073', '67000', '159872', '30847', '188841',\n",
       "       '11622', '95912', '4034', '45964', '14955', '6903', '31614',\n",
       "       '23055', '19023', '207372', '1225', '380837', '10600', '74359',\n",
       "       '822', '80805', '2287', '4162', '14760', '23243', '8978', '42492',\n",
       "       '286897', '103755', '46505', '11442', '10295', '296', '29313',\n",
       "       '51507', '1802', '1383', '23175', '5868', '2111', '5448', '4159',\n",
       "       '20815', '78662', '7149', '3079', '5800', '6989', '16422',\n",
       "       '108741', '624', '1661', '97702', '308', '5211', '1058', '78172',\n",
       "       '80804', '1002859', '51510', '413', '1013635', '24005', '57106',\n",
       "       '2249', '516', '834', '1010', '238970', '302', '438', '73', '39',\n",
       "       '144', '2181', '93965', '1446', '12088', '314', '25671', '15194',\n",
       "       '22551', '29839', '279', '564387', '1330', '1677', '757', '115',\n",
       "       '125', '9952', '18814', '21', '15', '51981', '3596', '1006',\n",
       "       '5968', '4895', '56642847', '69119316', '125257', '9642995',\n",
       "       '1429035', '4604324', '3419249', '11334799', '158679', '3075028',\n",
       "       '4187998', '659395', '4785892', '66602', '30209', '36901',\n",
       "       '5149854', '192948', '99559', '437674', '13698', '2473509',\n",
       "       '20769', '36880', '171031', '63543', '45487', '615381', '2451083',\n",
       "       '33053', '5387333', '3648120', '136662', '42370', '781810',\n",
       "       '3128250', '2083237', '541389', '46702', '2939', '13761', '258556',\n",
       "       '40751', '17712922', '25021', '27187', '56646578', '4785988',\n",
       "       '122498', '11334973', '3419433', '132014', '83239', '594728',\n",
       "       '5387446', '10484169', '3128509', '2451093', '2876500', '28238',\n",
       "       '335646', '350154', '349384', '346982', '244863', '10790289',\n",
       "       '330761', '37320', '12842860', '2546527', '36893', '15880',\n",
       "       '346980', '9643041', '3075118', '2264916', '2473693', '42925',\n",
       "       '5150471', '2511130', '3648480', '17714850', '13100', '27156',\n",
       "       '55098', '1133501', '12578', '10965', '18247', '190613', '125232',\n",
       "       '72065', '27540', '104990', '177703', '17529', '177263', '237468',\n",
       "       '32254', '483565', '552441', '60308', '457283', '93825', '32283',\n",
       "       '15287', '205739', '14873', '7820209', '9498', '4604483',\n",
       "       '4188142', '88427', '305218', '183374', '20901', '122595',\n",
       "       '124346', '837842', '255', '41420', '44706', '23707', '3419513',\n",
       "       '11335255', '29208', '191032', '1545', '57', '0', '4', '516801',\n",
       "       '285726', '76646', '2556', '7779', '61637', '12632', '313724',\n",
       "       '48845', '305708', '31320', '172460', '4195', '11633', '10212',\n",
       "       '37053', '667', '13202', '28671', '1157', '212626', '222888',\n",
       "       '2067', '1643', '105', '3414', '42194', '11806', '1999', '22544',\n",
       "       '97684', '2519', '1146', '13046', '17268', '8722', '953', '2593',\n",
       "       '5377', '852', '212', '1972', '35206', '5164', '1939', '277', '80',\n",
       "       '825', '40035', '1093', '135418', '1601', '2212', '57081', '241',\n",
       "       '63986', '7888', '535', '5084', '2430', '837', '738', '4631',\n",
       "       '4953', '1439', '1645', '13204', '853', '337', '13049', '51698',\n",
       "       '923', '1546', '149', '198', '135420', '22545', '8723', '23170',\n",
       "       '13890', '57083', '537', '13440', '143', '1059', '894', '6191',\n",
       "       '15081', '218', '35205', '243950', '236', '5152', '1576', '6701',\n",
       "       '40039', '742', '2506', '182986', '8661', '8', '59', '28', '185',\n",
       "       '6', '110', '3', '5', '84', '20', '776', '1', '14', '24', '23',\n",
       "       '11', '101', '120', '4954', '954', '2560', '42197', '5168',\n",
       "       '12633', '41605', '2433', '791', '5323', '478', '69', '53',\n",
       "       '97699', '6289924', '181893', '2544', '85375', '314299', '9770',\n",
       "       '32346', '4075', '10611', '9321', '56065', '14286', '133136',\n",
       "       '2469', '36212', '390', '1090', '266948', '342918', '748',\n",
       "       '172640', '1619', '3168', '29855', '6736', '7005', '889', '5741',\n",
       "       '27572', '10852', '9888', '1929', '1516', '215301', '423',\n",
       "       '254519', '1107903', '211856', '99020', '90481', '32381', '248912',\n",
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       "       '358', '11904', '22251', '22384', '73404', '12733', '25183',\n",
       "       '52743', '61749', '55704', '19277', '13612', '37862', '18372',\n",
       "       '656', '240', '275', '3692', '2363', '1769', '430', '756', '3963',\n",
       "       '316', '642', '6290507', '32380', '172505', '69493', '1107884',\n",
       "       '7973', '266935', '5695', '142632', '55256', '172508', '54798',\n",
       "       '4815', '75112', '33646', '314300', '206527', '9348', '3816',\n",
       "       '47847', '16195', '206', '28392', '3241', '835', '2525', '828',\n",
       "       '200058', '1239', '702', '108613', '69498', '148550', '3847',\n",
       "       '84309', '1107948', '14206', '206532', '14700', '42828', '40209',\n",
       "       '1405', '148549', '84311', '256079', '2078', '16103', '31085',\n",
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       "       '98509', '5241', '22508', '10291', '7165362', '4885646', '141980',\n",
       "       '6979', '46618', '103078', '17682', '37000', '175528', '1828284',\n",
       "       '34923', '684116', '46916', '407698', '702975', '32458', '235496',\n",
       "       '11661', '653008', '23063', '87384', '411683', '8918', '501498',\n",
       "       '2133296', '29690', '130549', '613059', '1633682', '2646', '21867',\n",
       "       '32732', '243747', '2639', '1511', '44550', '501497', '7813',\n",
       "       '1033', '2442', '15254', '155234', '310066', '12216', '388089',\n",
       "       '92058', '88185', '493', '33387', '123279', '27424', '60841',\n",
       "       '29706', '288150', '14807', '319692', '61201', '22998', '12398',\n",
       "       '35928', '64448', '22378', '5456599', '296829', '310095', '319691',\n",
       "       '16372', '58028', '736864', '1968', '35279', '35931', '17247',\n",
       "       '87723', '18523', '182103', '197774', '8674', '5456708', '58082',\n",
       "       '407719', '115033', '22997', '801', '8968', '303', '732', '1856',\n",
       "       '50725', '1575', '6238', '9941', '23666', '67554', '38769',\n",
       "       '160164', '3771', '256664', '787177', '3782', '40113', '7074',\n",
       "       '2153', '26089', '20611', '811', '15558', '573', '37', '8232',\n",
       "       '3089', '3874', '464', '731', '8800', '99', '456', '3200', '5839',\n",
       "       '663', '16', '13', '46', '1953', '12', '4298', '49', '100', '399',\n",
       "       '7', '124424', '39041', '52306', '36718', '42644', '278082',\n",
       "       '6076', '112656', '335738', '31906', '20672', '957973', '130582',\n",
       "       '31218', '167168', '34428', '15247', '48445', '35518', '12185',\n",
       "       '36746', '21996', '138371', '12073', '111632', '250706', '706301',\n",
       "       '64959', '659741', '510392', '7215', '25508', '60449', '381788',\n",
       "       '10697', '347838', '31804', '3856', '199684', '44545', '1336246',\n",
       "       '57493', '283', '12304', '8188', '11919', '45957', '126431',\n",
       "       '21570', '134564', '16961', '111254', '7731', '5928', '15703',\n",
       "       '6148', '861', '8662', '23130', '69973', '1311', '26587', '2417',\n",
       "       '706302', '1054', '25166', '129304', '19870', '161440', '7514',\n",
       "       '46106', '15141', '714', '42410', '260547', '4344', '22808',\n",
       "       '42809', '16808', '157505', '24647', '1922', '3334', '10658',\n",
       "       '78361', '2594', '13868', '135952', '11066', '45962', '34861',\n",
       "       '37580', '281485', '685', '126447', '3780', '15192', '5950',\n",
       "       '15993', '5905', '659760', '14627', '1098', '2898', '70782',\n",
       "       '11264', '100997', '347874', '3290', '341090', '87951', '250719',\n",
       "       '510401', '24729', '78306', '43313', '1374549', '208463', '6998',\n",
       "       '145323', '95', '64784', '32997', '82', '2707', '129737', '611136',\n",
       "       '6118', '2473', '109784', '3320', '68103', '8412', '10741', '3803',\n",
       "       '155944', '10159', '28008', '43614', '455377', '1398', '1032935',\n",
       "       '32405', '151080', '22513', '90042', '58316', '8509', '19314',\n",
       "       '21314', '30224', '454', '14952', '1250', '1726', '14065', '556',\n",
       "       '4925', '6507', '11707', '1077', '46539', '9066', '1962', '22071',\n",
       "       '196', '278', '61881', '2129', '1268', '91359', '22015', '131569',\n",
       "       '31986', '22875', '17071', '90242', '483960', '511228'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Reviews'].unique()[:1000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "1b865f24",
   "metadata": {},
   "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>10472</th>\n",
       "      <td>Life Made WI-Fi Touchscreen Photo Frame</td>\n",
       "      <td>1.9</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0M</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>NaN</td>\n",
       "      <td>February 11, 2018</td>\n",
       "      <td>1.0.19</td>\n",
       "      <td>4.0 and up</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           App Category  Rating Reviews  \\\n",
       "10472  Life Made WI-Fi Touchscreen Photo Frame      1.9    19.0    3.0M   \n",
       "\n",
       "         Size Installs Type     Price Content Rating             Genres  \\\n",
       "10472  1,000+     Free    0  Everyone            NaN  February 11, 2018   \n",
       "\n",
       "      Last Updated Current Ver Android Ver  \n",
       "10472       1.0.19  4.0 and up         NaN  "
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[~df.Reviews.str.isnumeric()] #due to presence of 3.0M"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "b6dc386c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</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>10472</th>\n",
       "      <td>Life Made WI-Fi Touchscreen Photo Frame</td>\n",
       "      <td>1.9</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0M</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>NaN</td>\n",
       "      <td>February 11, 2018</td>\n",
       "      <td>1.0.19</td>\n",
       "      <td>4.0 and up</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           App Category  Rating Reviews  \\\n",
       "10472  Life Made WI-Fi Touchscreen Photo Frame      1.9    19.0    3.0M   \n",
       "\n",
       "         Size Installs Type     Price Content Rating             Genres  \\\n",
       "10472  1,000+     Free    0  Everyone            NaN  February 11, 2018   \n",
       "\n",
       "      Last Updated Current Ver Android Ver  \n",
       "10472       1.0.19  4.0 and up         NaN  "
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[~df[\"Reviews\"].apply(lambda x:x.isnumeric())]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "8cb15d16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.strings.accessor.StringMethods"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df.Reviews.str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "9c0a974d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pandas.core.strings.accessor.StringMethods at 0x2414b1b1510>"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Reviews.str"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "49906968",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy = df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "79969ca8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
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       "      <th>Content Rating</th>\n",
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       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10472</th>\n",
       "      <td>Life Made WI-Fi Touchscreen Photo Frame</td>\n",
       "      <td>1.9</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0M</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>NaN</td>\n",
       "      <td>February 11, 2018</td>\n",
       "      <td>1.0.19</td>\n",
       "      <td>4.0 and up</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           App Category  Rating Reviews  \\\n",
       "10472  Life Made WI-Fi Touchscreen Photo Frame      1.9    19.0    3.0M   \n",
       "\n",
       "         Size Installs Type     Price Content Rating             Genres  \\\n",
       "10472  1,000+     Free    0  Everyone            NaN  February 11, 2018   \n",
       "\n",
       "      Last Updated Current Ver Android Ver  \n",
       "10472       1.0.19  4.0 and up         NaN  "
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy[~df_copy[\"Reviews\"].apply(lambda x:x.isnumeric())]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "57e2b6d7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "df_copy.drop(df_copy.index[10472], inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "3365a998",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
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       "    </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",
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       "      <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>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>1.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10838</th>\n",
       "      <td>Parkinson Exercices FR</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>9.5M</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>January 20, 2017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2 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>10840 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",
       "10836                                   Sya9a Maroc - FR               FAMILY   \n",
       "10837                   Fr. Mike Schmitz Audio Teachings               FAMILY   \n",
       "10838                             Parkinson Exercices FR              MEDICAL   \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",
       "10836     4.5      38                 53M       5,000+  Free     0   \n",
       "10837     5.0       4                3.6M         100+  Free     0   \n",
       "10838     NaN       3                9.5M       1,000+  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",
       "10836       Everyone                  Education     July 25, 2017   \n",
       "10837       Everyone                  Education      July 6, 2018   \n",
       "10838       Everyone                    Medical  January 20, 2017   \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",
       "10836                1.48          4.1 and up  \n",
       "10837                 1.0          4.1 and up  \n",
       "10838                 1.0          2.2 and up  \n",
       "10839  Varies with device  Varies with device  \n",
       "10840  Varies with device  Varies with device  \n",
       "\n",
       "[10840 rows x 13 columns]"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "d88c716a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('O')"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Reviews'].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "d32531e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy['Reviews'] = df_copy['Reviews'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "735d3329",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0           159\n",
       "1           967\n",
       "2         87510\n",
       "3        215644\n",
       "4           967\n",
       "          ...  \n",
       "10836        38\n",
       "10837         4\n",
       "10838         3\n",
       "10839       114\n",
       "10840    398307\n",
       "Name: Reviews, Length: 10840, dtype: int32"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Reviews']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "9ceaaea3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0           159\n",
       "1           967\n",
       "2         87510\n",
       "3        215644\n",
       "4           967\n",
       "          ...  \n",
       "10836        38\n",
       "10837         4\n",
       "10838         3\n",
       "10839       114\n",
       "10840    398307\n",
       "Name: Reviews, Length: 10840, dtype: int32"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Reviews']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "bf067ee9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['19M', '14M', '8.7M', '25M', '2.8M', '5.6M', '29M', '33M', '3.1M',\n",
       "       '28M', '12M', '20M', '21M', '37M', '2.7M', '5.5M', '17M', '39M',\n",
       "       '31M', '4.2M', '7.0M', '23M', '6.0M', '6.1M', '4.6M', '9.2M',\n",
       "       '5.2M', '11M', '24M', 'Varies with device', '9.4M', '15M', '10M',\n",
       "       '1.2M', '26M', '8.0M', '7.9M', '56M', '57M', '35M', '54M', '201k',\n",
       "       '3.6M', '5.7M', '8.6M', '2.4M', '27M', '2.5M', '16M', '3.4M',\n",
       "       '8.9M', '3.9M', '2.9M', '38M', '32M', '5.4M', '18M', '1.1M',\n",
       "       '2.2M', '4.5M', '9.8M', '52M', '9.0M', '6.7M', '30M', '2.6M',\n",
       "       '7.1M', '3.7M', '22M', '7.4M', '6.4M', '3.2M', '8.2M', '9.9M',\n",
       "       '4.9M', '9.5M', '5.0M', '5.9M', '13M', '73M', '6.8M', '3.5M',\n",
       "       '4.0M', '2.3M', '7.2M', '2.1M', '42M', '7.3M', '9.1M', '55M',\n",
       "       '23k', '6.5M', '1.5M', '7.5M', '51M', '41M', '48M', '8.5M', '46M',\n",
       "       '8.3M', '4.3M', '4.7M', '3.3M', '40M', '7.8M', '8.8M', '6.6M',\n",
       "       '5.1M', '61M', '66M', '79k', '8.4M', '118k', '44M', '695k', '1.6M',\n",
       "       '6.2M', '18k', '53M', '1.4M', '3.0M', '5.8M', '3.8M', '9.6M',\n",
       "       '45M', '63M', '49M', '77M', '4.4M', '4.8M', '70M', '6.9M', '9.3M',\n",
       "       '10.0M', '8.1M', '36M', '84M', '97M', '2.0M', '1.9M', '1.8M',\n",
       "       '5.3M', '47M', '556k', '526k', '76M', '7.6M', '59M', '9.7M', '78M',\n",
       "       '72M', '43M', '7.7M', '6.3M', '334k', '34M', '93M', '65M', '79M',\n",
       "       '100M', '58M', '50M', '68M', '64M', '67M', '60M', '94M', '232k',\n",
       "       '99M', '624k', '95M', '8.5k', '41k', '292k', '11k', '80M', '1.7M',\n",
       "       '74M', '62M', '69M', '75M', '98M', '85M', '82M', '96M', '87M',\n",
       "       '71M', '86M', '91M', '81M', '92M', '83M', '88M', '704k', '862k',\n",
       "       '899k', '378k', '266k', '375k', '1.3M', '975k', '980k', '4.1M',\n",
       "       '89M', '696k', '544k', '525k', '920k', '779k', '853k', '720k',\n",
       "       '713k', '772k', '318k', '58k', '241k', '196k', '857k', '51k',\n",
       "       '953k', '865k', '251k', '930k', '540k', '313k', '746k', '203k',\n",
       "       '26k', '314k', '239k', '371k', '220k', '730k', '756k', '91k',\n",
       "       '293k', '17k', '74k', '14k', '317k', '78k', '924k', '902k', '818k',\n",
       "       '81k', '939k', '169k', '45k', '475k', '965k', '90M', '545k', '61k',\n",
       "       '283k', '655k', '714k', '93k', '872k', '121k', '322k', '1.0M',\n",
       "       '976k', '172k', '238k', '549k', '206k', '954k', '444k', '717k',\n",
       "       '210k', '609k', '308k', '705k', '306k', '904k', '473k', '175k',\n",
       "       '350k', '383k', '454k', '421k', '70k', '812k', '442k', '842k',\n",
       "       '417k', '412k', '459k', '478k', '335k', '782k', '721k', '430k',\n",
       "       '429k', '192k', '200k', '460k', '728k', '496k', '816k', '414k',\n",
       "       '506k', '887k', '613k', '243k', '569k', '778k', '683k', '592k',\n",
       "       '319k', '186k', '840k', '647k', '191k', '373k', '437k', '598k',\n",
       "       '716k', '585k', '982k', '222k', '219k', '55k', '948k', '323k',\n",
       "       '691k', '511k', '951k', '963k', '25k', '554k', '351k', '27k',\n",
       "       '82k', '208k', '913k', '514k', '551k', '29k', '103k', '898k',\n",
       "       '743k', '116k', '153k', '209k', '353k', '499k', '173k', '597k',\n",
       "       '809k', '122k', '411k', '400k', '801k', '787k', '237k', '50k',\n",
       "       '643k', '986k', '97k', '516k', '837k', '780k', '961k', '269k',\n",
       "       '20k', '498k', '600k', '749k', '642k', '881k', '72k', '656k',\n",
       "       '601k', '221k', '228k', '108k', '940k', '176k', '33k', '663k',\n",
       "       '34k', '942k', '259k', '164k', '458k', '245k', '629k', '28k',\n",
       "       '288k', '775k', '785k', '636k', '916k', '994k', '309k', '485k',\n",
       "       '914k', '903k', '608k', '500k', '54k', '562k', '847k', '957k',\n",
       "       '688k', '811k', '270k', '48k', '329k', '523k', '921k', '874k',\n",
       "       '981k', '784k', '280k', '24k', '518k', '754k', '892k', '154k',\n",
       "       '860k', '364k', '387k', '626k', '161k', '879k', '39k', '970k',\n",
       "       '170k', '141k', '160k', '144k', '143k', '190k', '376k', '193k',\n",
       "       '246k', '73k', '658k', '992k', '253k', '420k', '404k', '470k',\n",
       "       '226k', '240k', '89k', '234k', '257k', '861k', '467k', '157k',\n",
       "       '44k', '676k', '67k', '552k', '885k', '1020k', '582k', '619k'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Size'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "62819ecf",
   "metadata": {},
   "outputs": [],
   "source": [
    "#replace\n",
    "df_copy['Size'] = df_copy['Size'].str.replace(\"M\", \"000\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "ae47759f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy['Size'] = df_copy['Size'].str.replace(\"k\", \"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "d36e981a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "f9096ba4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy['Size'] = df_copy['Size'].str.replace(\"Varies with device\", str(np.nan))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "254e1104",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy['Size'] = df_copy['Size'].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "94d4e326",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        19000.0\n",
       "1        14000.0\n",
       "2            8.7\n",
       "3        25000.0\n",
       "4            2.8\n",
       "          ...   \n",
       "10836    53000.0\n",
       "10837        3.6\n",
       "10838        9.5\n",
       "10839        NaN\n",
       "10840    19000.0\n",
       "Name: Size, Length: 10840, dtype: float64"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Size']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4e5da7c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# def size_process(item):\n",
    "#     if str(item)[-1] == 'M':\n",
    "#         res = float(str(item).replace('M', \" \"))\n",
    "#         res = res *1000\n",
    "#         return str(res)\n",
    "#     elif if str(item)[-1] == 'K':\n",
    "#         res = str(item).replace('k', '')\n",
    "#         return rest\n",
    "#     else:\n",
    "#         return str(np.Nan)\n",
    "\n",
    "#or\n",
    "\n",
    "# def convert_size_to_kb(size_str):\n",
    "#     if 'M' in size_str:\n",
    "#         return int(float(size_str[:-1]) * 1024)\n",
    "#     elif 'k' in size_str:\n",
    "#         return int(float(size_str[:-1]))\n",
    "        \n",
    "# df['Size_KB'] = df['Size'].apply(convert_size_to_kb)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "0a98bf23",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy['Installs'] = df_copy['Installs'].str.replace(\"+\", \"\").str.replace(\",\", \"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "f2e6618f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy['Installs'] = df_copy['Installs'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "e672f394",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['0', '$4.99', '$3.99', '$6.99', '$1.49', '$2.99', '$7.99', '$5.99',\n",
       "       '$3.49', '$1.99', '$9.99', '$7.49', '$0.99', '$9.00', '$5.49',\n",
       "       '$10.00', '$24.99', '$11.99', '$79.99', '$16.99', '$14.99',\n",
       "       '$1.00', '$29.99', '$12.99', '$2.49', '$10.99', '$1.50', '$19.99',\n",
       "       '$15.99', '$33.99', '$74.99', '$39.99', '$3.95', '$4.49', '$1.70',\n",
       "       '$8.99', '$2.00', '$3.88', '$25.99', '$399.99', '$17.99',\n",
       "       '$400.00', '$3.02', '$1.76', '$4.84', '$4.77', '$1.61', '$2.50',\n",
       "       '$1.59', '$6.49', '$1.29', '$5.00', '$13.99', '$299.99', '$379.99',\n",
       "       '$37.99', '$18.99', '$389.99', '$19.90', '$8.49', '$1.75',\n",
       "       '$14.00', '$4.85', '$46.99', '$109.99', '$154.99', '$3.08',\n",
       "       '$2.59', '$4.80', '$1.96', '$19.40', '$3.90', '$4.59', '$15.46',\n",
       "       '$3.04', '$4.29', '$2.60', '$3.28', '$4.60', '$28.99', '$2.95',\n",
       "       '$2.90', '$1.97', '$200.00', '$89.99', '$2.56', '$30.99', '$3.61',\n",
       "       '$394.99', '$1.26', '$1.20', '$1.04'], dtype=object)"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy[\"Price\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "b736c2ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy['Price'] = df_copy['Price'].str.replace(\"$\", \"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "fbc2b237",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['0', '4.99', '3.99', '6.99', '1.49', '2.99', '7.99', '5.99',\n",
       "       '3.49', '1.99', '9.99', '7.49', '0.99', '9.00', '5.49', '10.00',\n",
       "       '24.99', '11.99', '79.99', '16.99', '14.99', '1.00', '29.99',\n",
       "       '12.99', '2.49', '10.99', '1.50', '19.99', '15.99', '33.99',\n",
       "       '74.99', '39.99', '3.95', '4.49', '1.70', '8.99', '2.00', '3.88',\n",
       "       '25.99', '399.99', '17.99', '400.00', '3.02', '1.76', '4.84',\n",
       "       '4.77', '1.61', '2.50', '1.59', '6.49', '1.29', '5.00', '13.99',\n",
       "       '299.99', '379.99', '37.99', '18.99', '389.99', '19.90', '8.49',\n",
       "       '1.75', '14.00', '4.85', '46.99', '109.99', '154.99', '3.08',\n",
       "       '2.59', '4.80', '1.96', '19.40', '3.90', '4.59', '15.46', '3.04',\n",
       "       '4.29', '2.60', '3.28', '4.60', '28.99', '2.95', '2.90', '1.97',\n",
       "       '200.00', '89.99', '2.56', '30.99', '3.61', '394.99', '1.26',\n",
       "       '1.20', '1.04'], dtype=object)"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy[\"Price\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "935a5e3e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy[\"Price\"] = df_copy[\"Price\"].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "851b9d0c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  0.  ,   4.99,   3.99,   6.99,   1.49,   2.99,   7.99,   5.99,\n",
       "         3.49,   1.99,   9.99,   7.49,   0.99,   9.  ,   5.49,  10.  ,\n",
       "        24.99,  11.99,  79.99,  16.99,  14.99,   1.  ,  29.99,  12.99,\n",
       "         2.49,  10.99,   1.5 ,  19.99,  15.99,  33.99,  74.99,  39.99,\n",
       "         3.95,   4.49,   1.7 ,   8.99,   2.  ,   3.88,  25.99, 399.99,\n",
       "        17.99, 400.  ,   3.02,   1.76,   4.84,   4.77,   1.61,   2.5 ,\n",
       "         1.59,   6.49,   1.29,   5.  ,  13.99, 299.99, 379.99,  37.99,\n",
       "        18.99, 389.99,  19.9 ,   8.49,   1.75,  14.  ,   4.85,  46.99,\n",
       "       109.99, 154.99,   3.08,   2.59,   4.8 ,   1.96,  19.4 ,   3.9 ,\n",
       "         4.59,  15.46,   3.04,   4.29,   2.6 ,   3.28,   4.6 ,  28.99,\n",
       "         2.95,   2.9 ,   1.97, 200.  ,  89.99,   2.56,  30.99,   3.61,\n",
       "       394.99,   1.26,   1.2 ,   1.04])"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy[\"Price\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "d0e03db7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "App                object\n",
       "Category           object\n",
       "Rating            float64\n",
       "Reviews             int32\n",
       "Size              float64\n",
       "Installs            int32\n",
       "Type               object\n",
       "Price             float64\n",
       "Content Rating     object\n",
       "Genres             object\n",
       "Last Updated       object\n",
       "Current Ver        object\n",
       "Android Ver        object\n",
       "dtype: object"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "2f22f1a7",
   "metadata": {},
   "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",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</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>19000.0</td>\n",
       "      <td>10000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>14000.0</td>\n",
       "      <td>500000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>January 15, 2018</td>\n",
       "      <td>2.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510</td>\n",
       "      <td>8.7</td>\n",
       "      <td>5000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 1, 2018</td>\n",
       "      <td>1.2.4</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sketch - Draw &amp; Paint</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>215644</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>50000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>June 8, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967</td>\n",
       "      <td>2.8</td>\n",
       "      <td>100000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>June 20, 2018</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</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>10836</th>\n",
       "      <td>Sya9a Maroc - FR</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.5</td>\n",
       "      <td>38</td>\n",
       "      <td>53000.0</td>\n",
       "      <td>5000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>3.6</td>\n",
       "      <td>100</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Education</td>\n",
       "      <td>July 6, 2018</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10838</th>\n",
       "      <td>Parkinson Exercices FR</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>9.5</td>\n",
       "      <td>1000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>January 20, 2017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2 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>NaN</td>\n",
       "      <td>1000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>19000.0</td>\n",
       "      <td>10000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>10840 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",
       "10836                                   Sya9a Maroc - FR               FAMILY   \n",
       "10837                   Fr. Mike Schmitz Audio Teachings               FAMILY   \n",
       "10838                             Parkinson Exercices FR              MEDICAL   \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 Content Rating  \\\n",
       "0         4.1      159  19000.0     10000  Free    0.0       Everyone   \n",
       "1         3.9      967  14000.0    500000  Free    0.0       Everyone   \n",
       "2         4.7    87510      8.7   5000000  Free    0.0       Everyone   \n",
       "3         4.5   215644  25000.0  50000000  Free    0.0           Teen   \n",
       "4         4.3      967      2.8    100000  Free    0.0       Everyone   \n",
       "...       ...      ...      ...       ...   ...    ...            ...   \n",
       "10836     4.5       38  53000.0      5000  Free    0.0       Everyone   \n",
       "10837     5.0        4      3.6       100  Free    0.0       Everyone   \n",
       "10838     NaN        3      9.5      1000  Free    0.0       Everyone   \n",
       "10839     4.5      114      NaN      1000  Free    0.0     Mature 17+   \n",
       "10840     4.5   398307  19000.0  10000000  Free    0.0       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",
       "10836                  Education     July 25, 2017                1.48   \n",
       "10837                  Education      July 6, 2018                 1.0   \n",
       "10838                    Medical  January 20, 2017                 1.0   \n",
       "10839          Books & Reference  January 19, 2015  Varies with device   \n",
       "10840                  Lifestyle     July 25, 2018  Varies with device   \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  \n",
       "...                   ...  \n",
       "10836          4.1 and up  \n",
       "10837          4.1 and up  \n",
       "10838          2.2 and up  \n",
       "10839  Varies with device  \n",
       "10840  Varies with device  \n",
       "\n",
       "[10840 rows x 13 columns]"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "e63e5ff0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['App', 'Category', 'Rating', 'Reviews', 'Size', 'Installs', 'Type',\n",
       "       'Price', 'Content Rating', 'Genres', 'Last Updated', 'Current Ver',\n",
       "       'Android Ver'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "d861ba20",
   "metadata": {},
   "outputs": [],
   "source": [
    "categorical_features = [feature for feature in df_copy.columns if df_copy[feature].dtype == 'O']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "87a07e23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['App',\n",
       " 'Category',\n",
       " 'Type',\n",
       " 'Content Rating',\n",
       " 'Genres',\n",
       " 'Last Updated',\n",
       " 'Current Ver',\n",
       " 'Android Ver']"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categorical_features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "8beca3a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "numerical_features = [feature for feature in df_copy.columns if df_copy[feature].dtype != 'O']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "c411989b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Rating', 'Reviews', 'Size', 'Installs', 'Price']"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numerical_features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "24e4f279",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Type\n",
       "Free    0.926192\n",
       "Paid    0.073808\n",
       "Name: proportion, dtype: float64"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Type'].value_counts(normalize = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "d61abdec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Type', ylabel='count'>"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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31KtXL40YMUIJCQnq2bOnli1bZj9+4MABlZeXKz093d7mdDrVr18/bd26VZJUUlKiurq6gBmv16uUlBR7Ztu2bXK5XHYwSVKfPn3kcrnsmabk5ubaH+e5XC4lJia22L4DAIDQEtLR9Nlnn2nx4sVKSkrSn/70J/3qV7/S1KlT9fLLXx1tKS8vlyS53e6A57ndbvux8vJyRUZGqn379hecSUhIaPT+CQkJ9kxTZs+eLb/fb98OHTrU/J0FAAAhLTzYC7iQhoYG9erVSzk5OZKknj17avfu3Vq8eLHuu+//H4p3OBwBz7Msq9G2c50709T8t72O0+mU0+k02hcAANC6hfSRpk6dOik5OTlgW/fu3XXw4EFJksfjkaRGR4MqKirso08ej0e1tbXy+XwXnDl69Gij9z927Fijo1gAAODKFNLRdPPNN2vfvn0B2/bv368f/OAHkqQuXbrI4/Fo48aN9uO1tbUqLCxU3759JUmpqamKiIgImCkrK9OuXbvsmbS0NPn9fhUXF9sz27dvl9/vt2cAAMCVLaQ/nnv44YfVt29f5eTkaOTIkSouLtbSpUu1dOlSSV99pJadna2cnBwlJSUpKSlJOTk5io6OVmZmpiTJ5XJp3Lhxmj59ujp27KgOHTpoxowZ6tGjhwYNGiTpq6NXQ4cO1YQJE7RkyRJJ0sSJE5WRkXHeb84BAIArS0hH00033aT169dr9uzZeuqpp9SlSxe98MILGj16tD0zc+ZMVVdXa/LkyfL5fOrdu7cKCgoUExNjzyxcuFDh4eEaOXKkqqurNXDgQK1cuVJhYWH2zJo1azR16lT7W3bDhw9XXl7epdtZAAAQ0kL6Ok2tjel1Hr4PrtMENI3rNAForsviOk0AAACholnRdNtttzX577JVVVXptttu+75rAgAACDnNiqZNmzaptra20fYzZ86c9588AQAAaM2+04ngf/3rX+3//fHHHwdcH6m+vl75+fm65pprWm51AAAAIeI7RdONN94oh8Mhh8PR5MdwUVFRWrRoUYstDgAAIFR8p2g6cOCALMtS165dVVxcrPj4ePuxyMhIJSQkBHyNHwAA4HLxnaLp7JW4GxoaLspiAAAAQlWzL265f/9+bdq0SRUVFY0ias6cOd97YQAAAKGkWdG0bNky/du//Zvi4uLk8XjkcDjsxxwOB9EEAAAuO82Kpt/85jd65plnNGvWrJZeDwAAQEhq1nWafD6fRowY0dJrAQAACFnNiqYRI0aooKCgpdcCAAAQspr18dx1112nxx9/XEVFRerRo4ciIiICHp86dWqLLA4AACBUNCuali5dqnbt2qmwsFCFhYUBjzkcDqIJAABcdpoVTQcOHGjpdQAAAIS0Zp3TBAAAcKVp1pGmsWPHXvDx5cuXN2sxAAAAoapZ0eTz+QLu19XVadeuXaqsrGzyH/IFAABo7ZoVTevXr2+0raGhQZMnT1bXrl2/96IAAABCTYud09SmTRs9/PDDWrhwYUu9JAAAQMho0RPBP/30U3355Zct+ZIAAAAhoVkfz02bNi3gvmVZKisr0zvvvKP777+/RRYGAAAQSpoVTTt37gy436ZNG8XHx+v555//1m/WAQAAtEbNiqb33nuvpdcBAAAQ0poVTWcdO3ZM+/btk8Ph0A9/+EPFx8e31LoAAABCSrNOBD916pTGjh2rTp066ac//aluvfVWeb1ejRs3TqdPn27pNQIAAARds6Jp2rRpKiws1B//+EdVVlaqsrJSf/jDH1RYWKjp06e39BoBAACCrlkfz73xxhv6/e9/r/79+9vbhg0bpqioKI0cOVKLFy9uqfUBAACEhGYdaTp9+rTcbnej7QkJCXw8BwAALkvNiqa0tDQ98cQTOnPmjL2turpaTz75pNLS0lpscQAAAKGiWR/PvfDCC7r99tt17bXX6oYbbpDD4VBpaamcTqcKCgpaeo0AAABB16xo6tGjh/73f/9Xq1ev1t69e2VZlu6++26NHj1aUVFRLb1GAACAoGtWNOXm5srtdmvChAkB25cvX65jx45p1qxZLbI4AACAUNGsc5qWLFmiH/3oR422X3/99XrxxRe/96IAAABCTbOiqby8XJ06dWq0PT4+XmVlZd97UQAAAKGmWdGUmJioLVu2NNq+ZcsWeb3e770oAACAUNOsc5rGjx+v7Oxs1dXV6bbbbpMk/fnPf9bMmTO5IjgAALgsNSuaZs6cqePHj2vy5Mmqra2VJF111VWaNWuWZs+e3aILBAAACAXNiiaHw6F58+bp8ccf1549exQVFaWkpCQ5nc6WXh8AAEBIaFY0ndWuXTvddNNNLbUWAACAkNWsE8EBAACuNEQTAACAAaIJAADAANEEAABggGgCAAAwQDQBAAAYIJoAAAAMEE0AAAAGiCYAAAADRBMAAIABogkAAMAA0QQAAGCAaAIAADBANAEAABggmgAAAAwQTQAAAAaIJgAAAANEEwAAgAGiCQAAwECriqbc3Fw5HA5lZ2fb2yzL0ty5c+X1ehUVFaX+/ftr9+7dAc+rqanRlClTFBcXp7Zt22r48OE6fPhwwIzP51NWVpZcLpdcLpeysrJUWVl5CfYKAAC0Bq0mmnbs2KGlS5fqxz/+ccD2+fPna8GCBcrLy9OOHTvk8Xg0ePBgnThxwp7Jzs7W+vXrtXbtWm3evFknT55URkaG6uvr7ZnMzEyVlpYqPz9f+fn5Ki0tVVZW1iXbPwAAENpaRTSdPHlSo0eP1rJly9S+fXt7u2VZeuGFF/TrX/9av/jFL5SSkqJVq1bp9OnTevXVVyVJfr9fv/vd7/T8889r0KBB6tmzp1avXq2//e1v+u///m9J0p49e5Sfn6+XXnpJaWlpSktL07Jly/T2229r3759511XTU2NqqqqAm4AAODy1Cqi6YEHHtAdd9yhQYMGBWw/cOCAysvLlZ6ebm9zOp3q16+ftm7dKkkqKSlRXV1dwIzX61VKSoo9s23bNrlcLvXu3due6dOnj1wulz3TlNzcXPvjPJfLpcTExBbZXwAAEHpCPprWrl2r//mf/1Fubm6jx8rLyyVJbrc7YLvb7bYfKy8vV2RkZMARqqZmEhISGr1+QkKCPdOU2bNny+/327dDhw59t50DAACtRniwF3Ahhw4d0kMPPaSCggJdddVV551zOBwB9y3LarTtXOfONDX/ba/jdDrldDov+D4AAODyENJHmkpKSlRRUaHU1FSFh4crPDxchYWF+vd//3eFh4fbR5jOPRpUUVFhP+bxeFRbWyufz3fBmaNHjzZ6/2PHjjU6igUAAK5MIR1NAwcO1N/+9jeVlpbat169emn06NEqLS1V165d5fF4tHHjRvs5tbW1KiwsVN++fSVJqampioiICJgpKyvTrl277Jm0tDT5/X4VFxfbM9u3b5ff77dnAADAlS2kP56LiYlRSkpKwLa2bduqY8eO9vbs7Gzl5OQoKSlJSUlJysnJUXR0tDIzMyVJLpdL48aN0/Tp09WxY0d16NBBM2bMUI8ePewTy7t3766hQ4dqwoQJWrJkiSRp4sSJysjIULdu3S7hHgMAgFAV0tFkYubMmaqurtbkyZPl8/nUu3dvFRQUKCYmxp5ZuHChwsPDNXLkSFVXV2vgwIFauXKlwsLC7Jk1a9Zo6tSp9rfshg8frry8vEu+PwAAIDQ5LMuygr2Iy0VVVZVcLpf8fr9iY2MvynukPvLyRXldoLUree6+YC8BQCtl+vc7pM9pAgAACBVEEwAAgAGiCQAAwADRBAAAYIBoAgAAMEA0AQAAGCCaAAAADBBNAAAABogmAAAAA0QTAACAAaIJAADAANEEAABggGgCAAAwQDQBAAAYIJoAAAAMEE0AAAAGiCYAAAADRBMAAIABogkAAMAA0QQAAGCAaAIAADBANAEAABggmgAAAAwQTQAAAAaIJgAAAANEEwAAgAGiCQAAwADRBAAAYIBoAgAAMEA0AQAAGCCaAAAADBBNAAAABogmAAAAA0QTAACAAaIJAADAANEEAABggGgCAAAwQDQBAAAYIJoAAAAMEE0AAAAGiCYAAAADRBMAAIABogkAAMAA0QQAAGCAaAIAADBANAEAABggmgAAAAwQTQAAAAaIJgAAAANEEwAAgAGiCQAAwADRBAAAYIBoAgAAMEA0AQAAGCCaAAAADBBNAAAABogmAAAAA0QTAACAAaIJAADAQEhHU25urm666SbFxMQoISFBP/vZz7Rv376AGcuyNHfuXHm9XkVFRal///7avXt3wExNTY2mTJmiuLg4tW3bVsOHD9fhw4cDZnw+n7KysuRyueRyuZSVlaXKysqLvYsAAKCVCOloKiws1AMPPKCioiJt3LhRX375pdLT03Xq1Cl7Zv78+VqwYIHy8vK0Y8cOeTweDR48WCdOnLBnsrOztX79eq1du1abN2/WyZMnlZGRofr6ensmMzNTpaWlys/PV35+vkpLS5WVlXVJ9xcAAIQuh2VZVrAXYerYsWNKSEhQYWGhfvrTn8qyLHm9XmVnZ2vWrFmSvjqq5Ha7NW/ePE2aNEl+v1/x8fF65ZVXNGrUKEnSkSNHlJiYqA0bNmjIkCHas2ePkpOTVVRUpN69e0uSioqKlJaWpr1796pbt25G66uqqpLL5ZLf71dsbOxF+RmkPvLyRXldoLUree6+YC8BQCtl+vc7pI80ncvv90uSOnToIEk6cOCAysvLlZ6ebs84nU7169dPW7dulSSVlJSorq4uYMbr9SolJcWe2bZtm1wulx1MktSnTx+5XC57pik1NTWqqqoKuAEAgMtTq4kmy7I0bdo03XLLLUpJSZEklZeXS5LcbnfArNvtth8rLy9XZGSk2rdvf8GZhISERu+ZkJBgzzQlNzfXPgfK5XIpMTGx+TsIAABCWquJpgcffFB//etf9dprrzV6zOFwBNy3LKvRtnOdO9PU/Le9zuzZs+X3++3boUOHvm03AABAK9UqomnKlCl666239N577+naa6+1t3s8HklqdDSooqLCPvrk8XhUW1srn893wZmjR482et9jx441Oor1TU6nU7GxsQE3AABweQrpaLIsSw8++KD+67/+S3/5y1/UpUuXgMe7dOkij8ejjRs32ttqa2tVWFiovn37SpJSU1MVERERMFNWVqZdu3bZM2lpafL7/SouLrZntm/fLr/fb88AAIArW3iwF3AhDzzwgF599VX94Q9/UExMjH1EyeVyKSoqSg6HQ9nZ2crJyVFSUpKSkpKUk5Oj6OhoZWZm2rPjxo3T9OnT1bFjR3Xo0EEzZsxQjx49NGjQIElS9+7dNXToUE2YMEFLliyRJE2cOFEZGRnG35wDAACXt5COpsWLF0uS+vfvH7B9xYoVGjNmjCRp5syZqq6u1uTJk+Xz+dS7d28VFBQoJibGnl+4cKHCw8M1cuRIVVdXa+DAgVq5cqXCwsLsmTVr1mjq1Kn2t+yGDx+uvLy8i7uDAACg1WhV12kKdVynCQgertMEoLkuy+s0AQAABAvRBAAAYIBoAgAAMEA0AQAAGCCaAAAADBBNAAAABogmAAAAA0QTAACAAaIJAADAANEEAABggGgCAAAwQDQBAAAYIJoAAAAMEE0AAAAGiCYAAAADRBMAAIABogkAAMAA0QQAAGCAaAIAADBANAEAABggmgAAAAwQTQAAAAaIJgAAAANEEwAAgAGiCQAAwADRBAAAYIBoAgAAMEA0AQAAGCCaAAAADBBNAAAABogmAAAAA0QTAACAAaIJAADAANEEAABggGgCAAAwEB7sBQAAvnLwqR7BXgIQkjrP+VuwlyCJI00AAABGiCYAAAADRBMAAIABogkAAMAA0QQAAGCAaAIAADBANAEAABggmgAAAAwQTQAAAAaIJgAAAANEEwAAgAGiCQAAwADRBAAAYIBoAgAAMEA0AQAAGCCaAAAADBBNAAAABogmAAAAA0QTAACAAaIJAADAANEEAABggGgCAAAwQDQBAAAYIJrO8Z//+Z/q0qWLrrrqKqWmpuqDDz4I9pIAAEAIIJq+Yd26dcrOztavf/1r7dy5U7feeqtuv/12HTx4MNhLAwAAQUY0fcOCBQs0btw4jR8/Xt27d9cLL7ygxMRELV68ONhLAwAAQRYe7AWEitraWpWUlOjRRx8N2J6enq6tW7c2+ZyamhrV1NTY9/1+vySpqqrqoq2zvqb6or020JpdzN+7S+XEmfpgLwEISRf79/vs61uWdcE5oulrX3zxherr6+V2uwO2u91ulZeXN/mc3NxcPfnkk422JyYmXpQ1Ajg/16JfBXsJAC6WXNcleZsTJ07I5Tr/exFN53A4HAH3LctqtO2s2bNna9q0afb9hoYGHT9+XB07djzvc3D5qKqqUmJiog4dOqTY2NhgLwdAC+L3+8piWZZOnDghr9d7wTmi6WtxcXEKCwtrdFSpoqKi0dGns5xOp5xOZ8C2q6+++mItESEqNjaW/1MFLlP8fl85LnSE6SxOBP9aZGSkUlNTtXHjxoDtGzduVN++fYO0KgAAECo40vQN06ZNU1ZWlnr16qW0tDQtXbpUBw8e1K9+xbkSAABc6Yimbxg1apT+8Y9/6KmnnlJZWZlSUlK0YcMG/eAHPwj20hCCnE6nnnjiiUYf0QJo/fj9RlMc1rd9vw4AAACc0wQAAGCCaAIAADBANAEAABggmgAAOI9NmzbJ4XCosrLyvDMrV67kGn1XCKIJkDRmzBg5HI5Gt08++STYSwPwPX3z9zsiIkJdu3bVjBkzdOrUqW99bt++fVVWVmZ04UNc/rjkAPC1oUOHasWKFQHb4uPjA+7X1tYqMjLyUi4LQAs4+/tdV1enDz74QOPHj9epU6e0ePHiCz4vMjJSHo/nEq0SoY4jTcDXnE6nPB5PwG3gwIF68MEHNW3aNMXFxWnw4MGSpI8//ljDhg1Tu3bt5Ha7lZWVpS+++MJ+LcuyNH/+fHXt2lVRUVG64YYb9Pvf/z5YuwZc8c7+ficmJiozM1OjR4/Wm2++qdWrV6tXr16KiYmRx+NRZmamKioq7Oc19fHcypUr1blzZ0VHR+vnP/+5/vGPfwRhjxAMRBPwLVatWqXw8HBt2bJFS5YsUVlZmfr166cbb7xRH374ofLz83X06FGNHDnSfs5jjz2mFStWaPHixdq9e7cefvhh3XvvvSosLAzingA4KyoqSnV1daqtrdXTTz+tjz76SG+++aYOHDigMWPGnPd527dv19ixYzV58mSVlpZqwIAB+s1vfnPpFo6g4uKWgL4652H16tW66qqr7G233367jh07Jr/fr507d9rb58yZo+3bt+tPf/qTve3w4cNKTEzUvn37dM011yguLk5/+ctflJaWZs+MHz9ep0+f1quvvnppdgqApK9+vysrK/Xmm29KkoqLizVs2DANHDhQ69atC5jdsWOH/uVf/kUnTpxQu3bttGnTJg0YMEA+n09XX321MjMz5fP59O6779rPufvuu5Wfn3/Bk8VxeeCcJuBrAwYMCDi/oW3btrrnnnvUq1evgLmSkhK99957ateuXaPX+PTTT+X3+3XmzBn7o7yzamtr1bNnz4uzeAAX9Pbbb6tdu3b68ssvVVdXp7vuukuLFi3Szp07NXfuXJWWlur48eNqaGiQJB08eFDJycmNXmfPnj36+c9/HrAtLS1N+fn5l2Q/EFxEE/C1tm3b6rrrrmty+zc1NDTozjvv1Lx58xrNdurUSbt27ZIkvfPOO7rmmmsCHuffsQKC4+x/FEVERMjr9SoiIkKnTp1Senq60tPTtXr1asXHx+vgwYMaMmSIamtrm3wdPpy5shFNwHf0k5/8RG+88Yb+6Z/+SeHhjX+FkpOT5XQ6dfDgQfXr1y8IKwRwrqb+o2jv3r364osv9OyzzyoxMVGS9OGHH17wdZKTk1VUVBSw7dz7uHxxIjjwHT3wwAM6fvy47rnnHhUXF+uzzz5TQUGBxo4dq/r6esXExGjGjBl6+OGHtWrVKn366afauXOn/uM//kOrVq0K9vIBfK1z586KjIzUokWL9Nlnn+mtt97S008/fcHnTJ06Vfn5+Zo/f77279+vvLw8Ppq7ghBNwHfk9Xq1ZcsW1dfXa8iQIUpJSdFDDz0kl8ulNm2++pV6+umnNWfOHOXm5qp79+4aMmSI/vjHP6pLly5BXj2As+Lj47Vy5Uq9/vrrSk5O1rPPPqvf/va3F3xOnz599NJLL2nRokW68cYbVVBQoMcee+wSrRjBxrfnAAAADHCkCQAAwADRBAAAYIBoAgAAMEA0AQAAGCCaAAAADBBNAAAABogmAAAAA0QTAACAAaIJAADAANEE4IrhcDgueBszZkywlwgghDX+J9oB4DJVVlZm/+9169Zpzpw52rdvn70tKioqGMsC0EpwpAnAFcPj8dg3l8slh8Mhj8cjt9utW265RcuWLQuY37Vrl9q0aaNPP/1U0ldHqhYvXqzbb79dUVFR6tKli15//fWA53z++ecaNWqU2rdvr44dO+quu+7S//3f/12qXQRwERFNAK54DodDY8eO1YoVKwK2L1++XLfeeqv++Z//2d72+OOP65e//KU++ugj3Xvvvbrnnnu0Z88eSdLp06c1YMAAtWvXTu+//742b96sdu3aaejQoaqtrb2k+wSg5RFNACDpX//1X7Vv3z4VFxdLkurq6rR69WqNHTs2YG7EiBEaP368fvjDH+rpp59Wr169tGjRIknS2rVr1aZNG7300kvq0aOHunfvrhUrVujgwYPatGnTpd4lAC2MaAIASZ06ddIdd9yh5cuXS5LefvttnTlzRiNGjAiYS0tLa3T/7JGmkpISffLJJ4qJiVG7du3Url07dejQQWfOnLE/4gPQenEiOAB8bfz48crKytLChQu1YsUKjRo1StHR0d/6PIfDIUlqaGhQamqq1qxZ02gmPj6+xdcL4NIimgDga8OGDVPbtm21ePFivfvuu3r//fcbzRQVFem+++4LuN+zZ09J0k9+8hOtW7dOCQkJio2NvWTrBnBp8PEcAHwtLCxMY8aM0ezZs3Xdddc1+ihOkl5//XUtX75c+/fv1xNPPKHi4mI9+OCDkqTRo0crLi5Od911lz744AMdOHBAhYWFeuihh3T48OFLvTsAWhjRBADfMG7cONXW1jY6AfysJ598UmvXrtWPf/xjrVq1SmvWrFFycrIkKTo6Wu+//746d+6sX/ziF+revbvGjh2r6upqjjwBlwGHZVlWsBcBAKFiy5Yt6t+/vw4fPiy32x3wmMPh0Pr16/Wzn/0sOIsDEFSc0wQAkmpqanTo0CE9/vjjGjlyZKNgAgA+ngMASa+99pq6desmv9+v+fPnB3s5AEIQH88BAAAY4EgTAACAAaIJAADAANEEAABggGgCAAAwQDQBAAAYIJoAAAAMEE0AAAAGiCYAAAAD/w+Ex5uxTIriSAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.countplot(x = df_copy['Type']) #nmost of the app is free"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "7a4a3aa5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Content Rating', ylabel='count'>"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x = df_copy['Content Rating']) #The highest category of app for everyone"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "1a270fd0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ajayk\\AppData\\Local\\Temp\\ipykernel_24060\\1197350992.py:1: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  sns.distplot(df_copy['Price'])\n",
      "C:\\Users\\ajayk\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Price', ylabel='Density'>"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KigKuFxUVafv27VF/bk1NTdBnTp48OexnlpeXKz093feTlZUV9fdHwzsEFvIwVCpAAACYzrIA1NLSIrfbrYyMjIDrGRkZam5ujvpzm5ube/2ZCxcu1JEjR3w/+/fvj/r7o+EbAmMSNAAAceG0ugM2v3kvkmQYRtC1WH+my+WSy+Xq03f2RcgKEJOgAQCIGcsqQEOHDpXD4QiqzBw4cCCogtMbmZmZpn9mrIXaCJEKEAAAsWNZAEpNTVVeXp6qq6sDrldXV2vChAlRf25BQUHQZ27evLlPnxlrnSeHwOwBh6FyFAYAALFi6RBYWVmZZsyYofz8fBUUFGjlypVqaGhQcXGxpK65OY2NjVq3bp3vPfX19ZKkY8eO6YsvvlB9fb1SU1M1btw4SdLcuXN1zTXX6PHHH9e0adP0+9//Xm+88YbeeeeduN9fpHxDYH4VIAenwQMAEDOWBqDp06fr4MGDWrx4sZqampSbm6uqqiplZ2dL6tr48NQ9gS677DLfn2tra/XCCy8oOztbe/fulSRNmDBB69ev17333qv77rtPF154oTZs2KArr7wybvfVW76doB2sAgMAIB4snwRdUlKikpKSkK+tXbs26JoRQSC45ZZbdMstt/S1a3HjOwssxBwgNwEIAADTWX4UBvwmQfs9DRtDYAAAxAwBKAG4Pd4A1P04WAUGAEDsEIASgC8A+W1V5GAVGAAAMUMASgDdFSD/ZfBdv8k/AACYjwCUALoPQ/UbAmMVGAAAMUMASgAeT/AkaOYAAQAQOwSgBBB6GXzXb4bAAAAwHwEoAXirPAEbIVIBAgAgZghACcAdZiNEVoEBAGA+AlAC6AyxCsw7H5r8AwCA+QhACcB3FpidITAAAOKBAJQAvMvgQw2BkX8AADAfASgBhNoI0ftHDkMFAMB8BKAEEHonaCZBAwAQKwSgBBAqAHlXxBN/AAAwHwEoAXQfhuq/CowKEAAAsUIASgDdZ4GFGAJjDhAAAKYjACUAT5hJ0BSAAAAwHwEoAfjOAmMfIAAA4oIAlAA8IeYAOQhAAADEDAEoAYSeA9T12+OxokcAAJzdCEAJIORGiHYqQAAAxAoBKAGE3gmaAAQAQKwQgBJAuKMwWAUGAID5CEAJIORGiH5/pgoEAIC5ogpAe/bsMbsfSS3UJGgCEAAAsRNVALrooot07bXX6rnnntPXX39tdp+SjnelV6ghMP/XAQCAOaIKQB988IEuu+wy/cu//IsyMzP105/+VO+9957ZfUsanScTTqhVYBIVIAAAzBZVAMrNzdXSpUvV2NioZ599Vs3Nzbr66qv1rW99S0uXLtUXX3xhdj/PWoZh+CY623uYA0T+AQDAXH2aBO10OnXTTTfppZde0uOPP65PP/1U8+fP1wUXXKCZM2eqqanJrH6etfxXeTlDbIQodc8RAgAA5uhTANqxY4dKSko0fPhwLV26VPPnz9enn36qP/3pT2psbNS0adPM6udZq9Nvgs+pZ4F5/4khMAAAzOWM5k1Lly7Vs88+q48//lhTp07VunXrNHXqVNntXXkqJydHv/3tbzVmzBhTO3s28p/g7D8HSOoKQW7DYAgMAACTRRWAKisrddddd+knP/mJMjMzQ7YZOXKkVq9e3afOJQP/4S3nqQHILrnd3YelAgAAc0QVgKqrqzVy5EhfxcfLMAzt379fI0eOVGpqqu644w5TOnk2c/uFG/+Jz5Jks9kkGQyBAQBgsqjmAF144YVqaWkJun7o0CHl5OT0uVPJxD8ABQ+Bdf2mAAQAgLmiCkBGDxWJY8eOKS0trU8dSjaBFaDA1zgQFQCA2OjVEFhZWZmkrqGZ+++/X+ecc47vNbfbrb/85S+69NJLTe3g2c7jdwyGzRY8Cdq/DQAAMEevKkB1dXWqq6uTYRjatWuX75/r6ur03//93xo/frzWrl3bqw4sX75cOTk5SktLU15enrZt2xa2/datW5WXl6e0tDSNHj1aK1asCGpTUVGhiy++WP369VNWVpbmzZuXsEd2dIY4CNXLNwTGURgAAJiqVxWgLVu2SJJ+8pOf6Mknn9TAgQP79OUbNmxQaWmpli9frquuukq//e1vNWXKFH300UcaOXJkUPs9e/Zo6tSpmjNnjp577jm9++67Kikp0bBhw3TzzTdLkp5//nktWLBAa9as0YQJE/TJJ5/ozjvvlCT927/9W5/6GwveFV72EFHUOyeIChAAAOaKahXYs88+a8qXL126VLNmzdLs2bMldVVuXn/9dVVWVqq8vDyo/YoVKzRy5EhVVFRIksaOHasdO3ZoyZIlvgBUU1Ojq666SrfddpskadSoUbr11lvDnlXW1tamtrY23z+3traacn+R8M4BcoZIQAyBAQAQGxEHoB/+8Idau3atBg4cqB/+8Idh27788sun/bz29nbV1tZqwYIFAdeLioq0ffv2kO+pqalRUVFRwLXJkydr9erV6ujoUEpKiq6++mo999xzeu+993TFFVfos88+U1VVVdgl+eXl5XrooYdO2+dY8A6BnToBuuta10U3y8AAADBVxAEoPT3dN0k3PT29z1/c0tIit9utjIyMgOsZGRlqbm4O+Z7m5uaQ7Ts7O9XS0qLhw4frn/7pn/TFF1/o6quvlmEY6uzs1M9+9rOgoOVv4cKFvgneUlcFKCsrqw93Fzn/SdCn8haFyD8AAJgr4gDkP+xl1hCYpKCVT4ZhBF07XXv/62+99ZYeeeQRLV++XFdeeaX+9re/ae7cuRo+fLjuu+++kJ/pcrnkcrn6chtR81Z3HCGGwBwMgQEAEBNRzQH66quvZBiGbxn8vn37tGnTJo0bNy5oiKonQ4cOlcPhCKr2HDhwIKjK45WZmRmyvdPp1JAhQyRJ9913n2bMmOGbV/Ttb39bx48f1z//8z9r0aJFQbtXW607AAW/5j0clSEwAADMFVUamDZtmtatWydJOnz4sK644gr95je/0bRp01RZWRnRZ6SmpiovL0/V1dUB16urqzVhwoSQ7ykoKAhqv3nzZuXn5yslJUWSdOLEiaCQ43A4ZBhGjxs4Wskddhk8FSAAAGIhqgC0c+dOFRYWSpJ+97vfKTMzU/v27dO6deu0bNmyiD+nrKxMzzzzjNasWaPdu3dr3rx5amhoUHFxsaSuuTkzZ870tS8uLta+fftUVlam3bt3a82aNVq9erXmz5/va3P99dersrJS69ev1549e1RdXa377rtPN9xwgxwORzS3G1Pew1AdjnABKK5dAgDgrBfVENiJEyd07rnnSuqqwPzwhz+U3W7XP/zDP2jfvn0Rf8706dN18OBBLV68WE1NTcrNzVVVVZWys7MlSU1NTWpoaPC1z8nJUVVVlebNm6enn35aI0aM0LJly3xL4CXp3nvvlc1m07333qvGxkYNGzZM119/vR555JFobjXmwlaAvJOgSUAAAJgqqgB00UUX6ZVXXtFNN92k119/XfPmzZPUNR+nt5sjlpSUqKSkJORroXaVnjhxonbu3Nnj5zmdTj3wwAN64IEHetUPq7h9GyEGByBvKHIzBAYAgKmiGgK7//77NX/+fI0aNUpXXnmlCgoKJHVVgy677DJTO3i28/g2QgwzBEYFCAAAU0VVAbrlllt09dVXq6mpSePHj/ddv+6663TTTTeZ1rlk0L0RYqghMOYAAQAQC1EFIKlrSXpmZmbAtSuuuKLPHUo27nAbIdoC2wAAAHNEFYCOHz+uxx57TG+++aYOHDggzynHlX/22WemdC4ZhBsC8x2GSgkIAABTRRWAZs+era1bt2rGjBkaPnx42J2bEV5nmEnQ7AMEAEBsRBWA/vjHP+oPf/iDrrrqKrP7k3Q8kWyESAUIAABTRbUKbNCgQRo8eLDZfUlK4eYAeY/HcJN/AAAwVVQB6OGHH9b999+vEydOmN2fpNN9FhhDYAAAxEtUQ2C/+c1v9OmnnyojI0OjRo3yncPlFW6jQgSKKAAxBAYAgKmiCkA33nijyd1IXuEDUNdvKkAAAJgrqgB0phwzcSYIdxaYg40QAQCIiajmAEnS4cOH9cwzz2jhwoU6dOiQpK6hr8bGRtM6lwy8k6DDLYNnI0QAAMwVVQXoww8/1KRJk5Senq69e/dqzpw5Gjx4sDZt2qR9+/Zp3bp1ZvfzrBV2GTwbIQIAEBNRVYDKysp055136n/+53+Ulpbmuz5lyhS9/fbbpnUuGfiGwBysAgMAIF6iCkDvv/++fvrTnwZdP//889Xc3NznTiWTznBzgLyToD1BLwEAgD6IKgClpaWptbU16PrHH3+sYcOG9blTycQT7jBUO3OAAACIhagC0LRp07R48WJ1dHRIkmw2mxoaGrRgwQLdfPPNpnbwbOc+Wd1hI0QAAOInqgC0ZMkSffHFF/rGN76hr776ShMnTtRFF12kc889V4888ojZfTyruU+ObzEJGgCA+IlqFdjAgQP1zjvvaMuWLaqtrZXH49Hll1+uSZMmmd2/s563AhR6GfzJNuQfAABM1esA5PF4tHbtWr388svau3evbDabcnJylJmZKcMwZAtRyUDPvPN7nKEOQ+UoDAAAYqJXQ2CGYeiGG27Q7Nmz1djYqG9/+9v61re+pX379unOO+/UTTfdFKt+nrV8Q2BhJkEzBwgAAHP1qgK0du1avf3223rzzTd17bXXBrz2pz/9STfeeKPWrVunmTNnmtrJs5lvCCzUHCAmQQMAEBO9qgC9+OKLuueee4LCjyR997vf1YIFC/T888+b1rlk4A03zhAbIXqrQm72AQIAwFS9CkAffvihvv/97/f4+pQpU/TBBx/0uVPJpPPkDOfQFaCu31SAAAAwV68C0KFDh5SRkdHj6xkZGfryyy/73Klk0r0RYvBrDIEBABAbvQpAbrdbTmfP04YcDoc6Ozv73Klk4jsLzB78KOysAgMAICZ6NQnaMAzdeeedcrlcIV9va2szpVPJJOxZYL5VYHHtEgAAZ71eBaA77rjjtG1YAdY7Hk+4IbCu35wFBgCAuXoVgJ599tlY9SNpuQ2GwAAAiLeozgKDedxhKkAONkIEACAmCEAW8wag8BshxrVLAACc9QhAFgt3Fph3VMxNAgIAwFQEIIu53d4hMI7CAAAgXghAFvNWgOzhToMnAAEAYCoCkMU6Tx70FXoIzLsKLK5dAgDgrEcAsph3I0RnyGXwXb/ZBwgAAHMRgCzW4a0AhTgNvrsCRAACAMBMlgeg5cuXKycnR2lpacrLy9O2bdvCtt+6davy8vKUlpam0aNHa8WKFUFtDh8+rLvvvlvDhw9XWlqaxo4dq6qqqljdQp94T4NPCbERkHcStCHmAQEAYCZLA9CGDRtUWlqqRYsWqa6uToWFhZoyZYoaGhpCtt+zZ4+mTp2qwsJC1dXV6Z577tEvf/lLbdy40demvb1d3/ve97R371797ne/08cff6xVq1bp/PPPj9dt9UqHp+dl8P7ngxGAAAAwT6+OwjDb0qVLNWvWLM2ePVuSVFFRoddff12VlZUqLy8Par9ixQqNHDlSFRUVkqSxY8dqx44dWrJkiW6++WZJ0po1a3To0CFt375dKSkpkqTs7Oyw/Whraws4yLW1tdWM24uIdxJ0yAqQ3yWPRwlQrwMA4Oxg2V+p7e3tqq2tVVFRUcD1oqIibd++PeR7ampqgtpPnjxZO3bsUEdHhyTp1VdfVUFBge6++25lZGQoNzdXjz76qNxud499KS8vV3p6uu8nKyurj3cXOe8QWMg5QFSAAACICcsCUEtLi9xutzIyMgKuZ2RkqLm5OeR7mpubQ7bv7OxUS0uLJOmzzz7T7373O7ndblVVVenee+/Vb37zGz3yyCM99mXhwoU6cuSI72f//v19vLvIdXi8y+B7ngMkMREaAAAzWToEJkm2U87AMgwj6Nrp2vtf93g8+sY3vqGVK1fK4XAoLy9Pn3/+uX7961/r/vvvD/mZLpdLLperL7cRte5J0KEqQN1/Zik8AADmsSwADR06VA6HI6jac+DAgaAqj1dmZmbI9k6nU0OGDJEkDR8+XCkpKXI4HL42Y8eOVXNzs9rb25WammrynfSNbyPEEHOAbDab7Lauw1ApAAEAYB7LhsBSU1OVl5en6urqgOvV1dWaMGFCyPcUFBQEtd+8ebPy8/N9E56vuuoq/e1vf5PHb/vkTz75RMOHD0+48COFXwUmcR4YAACxYOm6orKyMj3zzDNas2aNdu/erXnz5qmhoUHFxcWSuubmzJw509e+uLhY+/btU1lZmXbv3q01a9Zo9erVmj9/vq/Nz372Mx08eFBz587VJ598oj/84Q969NFHdffdd8f9/iIRbhWY1H1IKnOAAAAwj6VzgKZPn66DBw9q8eLFampqUm5urqqqqnzL1puamgL2BMrJyVFVVZXmzZunp59+WiNGjNCyZct8S+AlKSsrS5s3b9a8efN0ySWX6Pzzz9fcuXP1q1/9Ku73F4lwq8Ck7goQc4AAADCP5ZOgS0pKVFJSEvK1tWvXBl2bOHGidu7cGfYzCwoK9Oc//9mM7sWcdxVYag8VIO/IGAUgAADMw9Z6FjtdBYghMAAAzEcAspBhGGFPg5eYBA0AQCwQgCzU6VfVCbUPkMSJ8AAAxAIByELe4S8p9D5Akv8k6Lh0CQCApEAAslCH315FPe8D1PWbITAAAMxDALKQfwWIfYAAAIgfApCFvJsg2mzdQedU7AMEAID5CEAW8h6DkdLDCjDJbwjM02MTAADQSwQgC3UfhBq6+iP5rQKjAgQAgGkIQBbqcIc/CFViHyAAAGKBAGShTk/4g1Cl7rlBbiZBAwBgGgKQhU53DIbEWWAAAMQCAchCHd45QGEnQTMEBgCA2QhAFvIehdHTMRgSQ2AAAMQCAchCvgpQmDlAVIAAADAfAchCnRGtAuv6TQEIAADzEIAs1JtVYByFAQCAeQhAFuqIaBUYQ2AAAJiNAGQh7xBY+KMwOAsMAACzEYAs5B0Ci+goDIbAAAAwDQHIQt1DYGHmADEJGgAA0xGALOQ9DDUlkrPASEAAAJiGAGShDk8Ek6A5DR4AANMRgCzU2YuNEJkEDQCAeQhAFupeBRauAtT1++R8aQAAYAICkIU6PKevADnYBwgAANMRgCzkqwBFsBEih6ECAGAeApCFfHOAwm2EyCRoAABMRwCyUESrwNgHCAAA0xGALOTbByiCw1AZAgMAwDwEIAv5doKOZCNEhsAAADANAchCnRGsAiMAAQBgPgKQhbzDWuH2AfJmI0bAAAAwDwHIQpEchsoyeAAAzEcAslD3JGjmAAEAEE8EIAv5lsGHHQLjNHgAAMxGALJQZIehdv0m/wAAYB7LA9Dy5cuVk5OjtLQ05eXladu2bWHbb926VXl5eUpLS9Po0aO1YsWKHtuuX79eNptNN954o8m9NkdvjsJgCAwAAPNYGoA2bNig0tJSLVq0SHV1dSosLNSUKVPU0NAQsv2ePXs0depUFRYWqq6uTvfcc49++ctfauPGjUFt9+3bp/nz56uwsDDWtxG17iGw0x+FwSRoAADMY2kAWrp0qWbNmqXZs2dr7NixqqioUFZWliorK0O2X7FihUaOHKmKigqNHTtWs2fP1l133aUlS5YEtHO73br99tv10EMPafTo0fG4lah0D4FRAQIAIJ4sC0Dt7e2qra1VUVFRwPWioiJt37495HtqamqC2k+ePFk7duxQR0eH79rixYs1bNgwzZo1K6K+tLW1qbW1NeAnHrqHwMIchcEcIAAATGdZAGppaZHb7VZGRkbA9YyMDDU3N4d8T3Nzc8j2nZ2damlpkSS9++67Wr16tVatWhVxX8rLy5Wenu77ycrK6uXdRKfDuxN0uKMwWAUGAIDpLJ8EbbMF/uVvGEbQtdO1914/evSofvzjH2vVqlUaOnRoxH1YuHChjhw54vvZv39/L+4gepFUgHwbITIEBgCAaZxWffHQoUPlcDiCqj0HDhwIqvJ4ZWZmhmzvdDo1ZMgQ/fWvf9XevXt1/fXX+173eKssTqc+/vhjXXjhhUGf63K55HK5+npLvdYRyRwgKkAAAJjOsgpQamqq8vLyVF1dHXC9urpaEyZMCPmegoKCoPabN29Wfn6+UlJSNGbMGO3atUv19fW+nxtuuEHXXnut6uvr4za0FanOSFaBMQcIAADTWVYBkqSysjLNmDFD+fn5Kigo0MqVK9XQ0KDi4mJJXUNTjY2NWrdunSSpuLhYTz31lMrKyjRnzhzV1NRo9erVevHFFyVJaWlpys3NDfiO8847T5KCrieCSI7CcLAKDAAA01kagKZPn66DBw9q8eLFampqUm5urqqqqpSdnS1JampqCtgTKCcnR1VVVZo3b56efvppjRgxQsuWLdPNN99s1S30SUSHobIPEAAAprM0AElSSUmJSkpKQr62du3aoGsTJ07Uzp07I/78UJ+RKDojWQVGBQgAANNZvgosmUW0D5B3ErTRveINAAD0DQHIQhGtAvN7iVEwAADMQQCykHcVWErYVWDdCYhhMAAAzEEAslCnbxJ0mFVgdgIQAABmIwBZyHcURgSHoUrSyeYAAKCPCEAWcXsMeQs64YbA/E/+4DgMAADMQQCyiHcCtHT6CpD3VYbAAAAwBwHIIp1+S7rCLYOX/JbCswwMAABTEIAs0ulfAQqzEaLkvxliTLsEAEDSIABZxHsMhhS40isU7xQhKkAAAJiDAGQR7zEYKQ6bbLbIKkBMggYAwBwEIIv49gAKswLMixPhAQAwFwHIIpEcg+Fl902CjmmXAABIGgQgi/iOwTjNCjCp+zwwKkAAAJiDAGQRXwXoNBOgJb85QEyCBgDAFAQgi3jnAEVUAbIzBwgAADMRgCzSGcE5YF4O9gECAMBUBCCLdPhWgUUyCbrrN0NgAACYgwBkkV4NgbEMHgAAUxGALNLRiyEwAhAAAOYiAFmkVxsh2pkDBACAmQhAFvEehpoSUQWo6zdzgAAAMAcByCIdnsgrQAyBAQBgLgKQRTp7cRSGbwiMChAAAKYgAFkkmlVgnAYPAIA5CEAW8a0Ci+gojK7fFIAAADAHAcgiUR2FQQICAMAUBCCLdPRmDhCToAEAMBUByCKdvVgF5g1J3uMzAABA3xCALNKbfYBSTw6TtXe6Y9onAACSBQHIIr7DUCMIQK4UhySprdMT0z4BAJAsCEAW6fStAjv9I+iuABGAAAAwAwHIIt2rwCKpAHU9JipAAACYgwBkke4hsF5UgNwEIAAAzEAAsoh3CCwlgo0QXc6Tc4A6mAQNAIAZCEAW6VUFyEkFCAAAMxGALNKbw1BdTuYAAQBgJssD0PLly5WTk6O0tDTl5eVp27ZtYdtv3bpVeXl5SktL0+jRo7VixYqA11etWqXCwkINGjRIgwYN0qRJk/Tee+/F8hai4t0IMSWSVWBOVoEBAGAmSwPQhg0bVFpaqkWLFqmurk6FhYWaMmWKGhoaQrbfs2ePpk6dqsLCQtXV1emee+7RL3/5S23cuNHX5q233tKtt96qLVu2qKamRiNHjlRRUZEaGxvjdVsR6c1RGC4CEAAAprI0AC1dulSzZs3S7NmzNXbsWFVUVCgrK0uVlZUh269YsUIjR45URUWFxo4dq9mzZ+uuu+7SkiVLfG2ef/55lZSU6NJLL9WYMWO0atUqeTwevfnmm/G6rYh09mIOkHcSdKfHkJsDUQEA6DPLAlB7e7tqa2tVVFQUcL2oqEjbt28P+Z6ampqg9pMnT9aOHTvU0dER8j0nTpxQR0eHBg8e3GNf2tra1NraGvATa71ZBeYdApOoAgEAYAbLAlBLS4vcbrcyMjICrmdkZKi5uTnke5qbm0O27+zsVEtLS8j3LFiwQOeff74mTZrUY1/Ky8uVnp7u+8nKyurl3fReb1aBOew2OU8GpTbOAwMAoM8snwRtswVWQAzDCLp2uvahrkvSE088oRdffFEvv/yy0tLSevzMhQsX6siRI76f/fv39+YWouKrAEUwB0jqrgKxEgwAgL5zWvXFQ4cOlcPhCKr2HDhwIKjK45WZmRmyvdPp1JAhQwKuL1myRI8++qjeeOMNXXLJJWH74nK55HK5oriL6PkqQBGsApO6JkKfaHczBAYAgAksqwClpqYqLy9P1dXVAderq6s1YcKEkO8pKCgIar9582bl5+crJSXFd+3Xv/61Hn74Yb322mvKz883v/Mm6M0+QBIVIAAAzGTpEFhZWZmeeeYZrVmzRrt379a8efPU0NCg4uJiSV1DUzNnzvS1Ly4u1r59+1RWVqbdu3drzZo1Wr16tebPn+9r88QTT+jee+/VmjVrNGrUKDU3N6u5uVnHjh2L+/2F49sHKNIAxInwAACYxrIhMEmaPn26Dh48qMWLF6upqUm5ubmqqqpSdna2JKmpqSlgT6CcnBxVVVVp3rx5evrppzVixAgtW7ZMN998s6/N8uXL1d7erltuuSXgux544AE9+OCDcbmvSPR6CCzl5HlgTIIGAKDPLA1AklRSUqKSkpKQr61duzbo2sSJE7Vz584eP2/v3r0m9Sy2ej0ExonwAACYxvJVYMmqewgs8knQktTWQQACAKCvCEAW8R2FEcFGiBInwgMAYCYCkEW8R2FEXgE6OQeogzlAAAD0FQHIIt6NEHu7DJ4KEAAAfUcAskg0GyFK7AMEAIAZCEAW8a4Ci3QfIG8AYh8gAAD6jgBkAbfH0PH2rrk8/V2R7UTATtAAAJiHAGSBI191+P6c3i8lTMtuVIAAADAPAcgCX55olySd63JGvAos1bsKjAAEAECfEYAscPhkADqvf2TVH8m/AsQyeAAA+ooAZIEvj3cNgQ06JzXi9zAHCAAA8xCALHD45Byg83oRgPznABmGEZN+AQCQLAhAFvANgUU4AVrqrgAZ6t5DCAAARIcAZAHvJOhB50QegPwnS7MbNAAAfUMAssCXJ3o/BGa32brnAXEeGAAAfUIAssDhKCpAkuRycB4YAABmIABZ4PDJCtCg/pFXgCS/lWAdBCAAAPqCAGSBaIbAJL+VYFSAAADoEwKQBaJZBSaxGzQAAGYhAFmgexVYlBUgdoMGAKBPCEBx9nWHW1+fnMPTm6MwJHaDBgDALASgOPNOgHbabTrX5ezVezkRHgAAcxCA4sw7/HXeOSmy2Wy9ei8VIAAAzEEAijNvAErv5QRoqbsCRAACAKBvCEBx5tsDqJcToKXuVWAMgQEA0DcEoDjrHgLrfQDqrgCxCgwAgL4gAMVZdwUo+iGwE+0EIAAA+oIAFGe+c8B6eQyGJGUMTJMkfX74K7k9hqn9AgAgmRCA4sx7DEY0k6Az09PkctrV1unRx81Hze4aAABJgwAUZ4ej3AVakuw2m7IGnyNJqt13yNR+AQCQTAhAcfZlH+YASVL2yQC0Y9+XpvUJAIBkQwCKs8N9WAUmSdlD+kuSduwlAAEAEC0CUJz5VoH18hwwr6xB/WST1Hj4KzUd+crEngEAkDwIQHFkGIYOf9UVgM7rF10FyJXi0PD0rtVgVIEAAIgOASiOWr/u9C1fPy/KOUBS9zBYLfOAAACICgEojrzzf/qlOJSW4oj6c7KHdE2Efn8vK8EAAIgGASiO+rILtL9RQ/rLbpP++nmrlrz+sQyDTREBAOgNywPQ8uXLlZOTo7S0NOXl5Wnbtm1h22/dulV5eXlKS0vT6NGjtWLFiqA2Gzdu1Lhx4+RyuTRu3Dht2rQpVt3vFYfdpityBuvSkef16XMG9kvRwiljJUlPbfmbHnz1rzp4rM2EHgIAkBycVn75hg0bVFpaquXLl+uqq67Sb3/7W02ZMkUfffSRRo4cGdR+z549mjp1qubMmaPnnntO7777rkpKSjRs2DDdfPPNkqSamhpNnz5dDz/8sG666SZt2rRJP/rRj/TOO+/oyiuvjPctBsg9P10v/bTAlM+ac81ouVLsuv/3f9X/q9mn//jzPuWPGqyxmedq5JD+Gjn4HI0cfI6Gn5emc11O2Ww2U74XAICzgc2wcPzkyiuv1OWXX67KykrftbFjx+rGG29UeXl5UPtf/epXevXVV7V7927fteLiYn3wwQeqqamRJE2fPl2tra364x//6Gvz/e9/X4MGDdKLL74YUb9aW1uVnp6uI0eOaODAgdHeXtRe+EtDxG13NR7R1k8O6PPDX/fYJsVh06BzUjW4f6oGnZMqp8Mmu80mu61rd+lQ2cjl7Jqn1C/Vrn4pjq55S6kOuZwO2XvIUuEiVk8BrKdcFjau9fRZvX+LbD28K1xe7Oml3n5HuA+L6t9lj+3DfVZP39/7fy89f0fPbzLz32VU/7dkktP9R/R0/5U1TvMJp3//6b6/b/+Zj3n/Y3x/p717y5+Ptd9/ug843fu/7nDryxMd+vJ4u7480a7DJzpkSHLabTon1akh/VM1qH+qhvRP1XnnpCjVaZfTbtfg/qkquHDI6XrXK735+9uyClB7e7tqa2u1YMGCgOtFRUXavn17yPfU1NSoqKgo4NrkyZO1evVqdXR0KCUlRTU1NZo3b15Qm4qKih770tbWpra27iGkI0eOSOr6F2mFE8cjP+frwvPsuvCKTB0+3q7PvjiuQyfau/4P8USbvjzRobYOj9okNZ84ruaW2PUZAIDeuOSCdL0w5x9M/Uzv39uRhH7LAlBLS4vcbrcyMjICrmdkZKi5uTnke5qbm0O27+zsVEtLi4YPH95jm54+U5LKy8v10EMPBV3PysqK9HYAAEAv7JeUPj82n3306FGlp6eHbWPpHCApuDxuGEb4knmI9qde7+1nLly4UGVlZb5/9ng8OnTokIYMGRL3uTOtra3KysrS/v37LRl+Q+/xzM4sPK8zD8/szGPVMzMMQ0ePHtWIESNO29ayADR06FA5HI6gysyBAweCKjhemZmZIds7nU4NGTIkbJuePlOSXC6XXC5XwLXzzjsv0luJiYEDB/I/9DMMz+zMwvM68/DMzjxWPLPTVX68LFsGn5qaqry8PFVXVwdcr66u1oQJE0K+p6CgIKj95s2blZ+fr5SUlLBtevpMAACQfCwdAisrK9OMGTOUn5+vgoICrVy5Ug0NDSouLpbUNTTV2NiodevWSepa8fXUU0+prKxMc+bMUU1NjVavXh2wumvu3Lm65ppr9Pjjj2vatGn6/e9/rzfeeEPvvPOOJfcIAAASj6UBaPr06Tp48KAWL16spqYm5ebmqqqqStnZ2ZKkpqYmNTR0LwnPyclRVVWV5s2bp6efflojRozQsmXLfHsASdKECRO0fv163Xvvvbrvvvt04YUXasOGDZbvARQpl8ulBx54IGhIDomLZ3Zm4XmdeXhmZ54z4ZlZug8QAACAFSw/CgMAACDeCEAAACDpEIAAAEDSIQABAICkQwBKIMuXL1dOTo7S0tKUl5enbdu2Wd2lpPX222/r+uuv14gRI2Sz2fTKK68EvG4Yhh588EGNGDFC/fr103e+8x399a9/DWjT1tamX/ziFxo6dKj69++vG264Qf/7v/8bx7tIHuXl5fr7v/97nXvuufrGN76hG2+8UR9//HFAG55ZYqmsrNQll1zi2yivoKAg4BBrnldiKy8vl81mU2lpqe/amfbMCEAJYsOGDSotLdWiRYtUV1enwsJCTZkyJWAbAMTP8ePHNX78eD311FMhX3/iiSe0dOlSPfXUU3r//feVmZmp733vezp6tPsg29LSUm3atEnr16/XO++8o2PHjukHP/iB3G53vG4jaWzdulV33323/vznP6u6ulqdnZ0qKirS8ePHfW14Zonlggsu0GOPPaYdO3Zox44d+u53v6tp06b5/sLkeSWu999/XytXrtQll1wScP2Me2YGEsIVV1xhFBcXB1wbM2aMsWDBAot6BC9JxqZNm3z/7PF4jMzMTOOxxx7zXfv666+N9PR0Y8WKFYZhGMbhw4eNlJQUY/369b42jY2Nht1uN1577bW49T1ZHThwwJBkbN261TAMntmZYtCgQcYzzzzD80pgR48eNb75zW8a1dXVxsSJE425c+cahnFm/m+MClACaG9vV21trYqKigKuFxUVafv27Rb1Cj3Zs2ePmpubA56Xy+XSxIkTfc+rtrZWHR0dAW1GjBih3NxcnmkcHDlyRJI0ePBgSTyzROd2u7V+/XodP35cBQUFPK8Edvfdd+sf//EfNWnSpIDrZ+Izs/w0eEgtLS1yu91BB7ZmZGQEHewK63mfSajntW/fPl+b1NRUDRo0KKgNzzS2DMNQWVmZrr76auXm5krimSWqXbt2qaCgQF9//bUGDBigTZs2ady4cb6/DHleiWX9+vXauXOn3n///aDXzsT/jRGAEojNZgv4Z8Mwgq4hcUTzvHimsffzn/9cH374Ycjz/3hmieXiiy9WfX29Dh8+rI0bN+qOO+7Q1q1bfa/zvBLH/v37NXfuXG3evFlpaWk9tjuTnhlDYAlg6NChcjgcQQn4wIEDQWka1svMzJSksM8rMzNT7e3t+vLLL3tsA/P94he/0KuvvqotW7boggsu8F3nmSWm1NRUXXTRRcrPz1d5ebnGjx+vJ598kueVgGpra3XgwAHl5eXJ6XTK6XRq69atWrZsmZxOp+/f+Zn0zAhACSA1NVV5eXmqrq4OuF5dXa0JEyZY1Cv0JCcnR5mZmQHPq729XVu3bvU9r7y8PKWkpAS0aWpq0n/913/xTGPAMAz9/Oc/18svv6w//elPysnJCXidZ3ZmMAxDbW1tPK8EdN1112nXrl2qr6/3/eTn5+v2229XfX29Ro8efeY9s7hPu0ZI69evN1JSUozVq1cbH330kVFaWmr079/f2Lt3r9VdS0pHjx416urqjLq6OkOSsXTpUqOurs7Yt2+fYRiG8dhjjxnp6enGyy+/bOzatcu49dZbjeHDhxutra2+zyguLjYuuOAC44033jB27txpfPe73zXGjx9vdHZ2WnVbZ62f/exnRnp6uvHWW28ZTU1Nvp8TJ0742vDMEsvChQuNt99+29izZ4/x4YcfGvfcc49ht9uNzZs3G4bB8zoT+K8CM4wz75kRgBLI008/bWRnZxupqanG5Zdf7lvCi/jbsmWLISno54477jAMo2vJ5wMPPGBkZmYaLpfLuOaaa4xdu3YFfMZXX31l/PznPzcGDx5s9OvXz/jBD35gNDQ0WHA3Z79Qz0qS8eyzz/ra8MwSy1133eX7792wYcOM6667zhd+DIPndSY4NQCdac/MZhiGEf+6EwAAgHWYAwQAAJIOAQgAACQdAhAAAEg6BCAAAJB0CEAAACDpEIAAAEDSIQABAICkQwACAABJhwAEIGl85zvfUWlpqdXdAJAACEAAzkh33nmnbDabbDabUlJSNHr0aM2fP1/Hjx/v8T0vv/yyHn744Tj2EkCiclrdAQCI1ve//309++yz6ujo0LZt2zR79mwdP35clZWVAe06OjqUkpKiwYMHW9RTAImGChCAM5bL5VJmZqaysrJ022236fbbb9crr7yiBx98UJdeeqnWrFmj0aNHy+VyyTCMoCGwtrY2/eu//quysrLkcrn0zW9+U6tXr/a9/tFHH2nq1KkaMGCAMjIyNGPGDLW0tFhwpwDMRgACcNbo16+fOjo6JEl/+9vf9NJLL2njxo2qr68P2X7mzJlav369li1bpt27d2vFihUaMGCAJKmpqUkTJ07UpZdeqh07dui1117T//3f/+lHP/pRvG4HQAwxBAbgrPDee+/phRde0HXXXSdJam9v13/8x39o2LBhIdt/8skneumll1RdXa1JkyZJkkaPHu17vbKyUpdffrkeffRR37U1a9YoKytLn3zyif7u7/4uhncDINaoAAE4Y/3nf/6nBgwYoLS0NBUUFOiaa67Rv//7v0uSsrOzeww/klRfXy+Hw6GJEyeGfL22tlZbtmzRgAEDfD9jxoyRJH366afm3wyAuKICBOCMde2116qyslIpKSkaMWKEUlJSfK/1798/7Hv79esX9nWPx6Prr79ejz/+eNBrw4cPj67DABIGAQjAGat///666KKLonrvt7/9bXk8Hm3dutU3BObv8ssv18aNGzVq1Cg5nfynEjjbMAQGICmNGjVKd9xxh+666y698sor2rNnj9566y299NJLkqS7775bhw4d0q233qr33ntPn332mTZv3qy77rpLbrfb4t4D6CsCEICkVVlZqVtuuUUlJSUaM2aM5syZ49tIccSIEXr33Xfldrs1efJk5ebmau7cuUpPT5fdzn86gTOdzTAMw+pOAAAAxBP/bwwAAEg6BCAAAJB0CEAAACDpEIAAAEDSIQABAICkQwACAABJhwAEAACSDgEIAAAkHQIQAABIOgQgAACQdAhAAAAg6fx/WMvQiH80UU8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(df_copy['Price'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "45618dd1",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ajayk\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Price', ylabel='Count'>"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(df_copy['Price'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "d0024094",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ajayk\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Rating', ylabel='Count'>"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(df_copy['Rating']) #highest rating count is 4.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "97ce0759",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ajayk\\anaconda3\\Lib\\site-packages\\seaborn\\_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Rating', ylabel='Density'>"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(df_copy['Rating'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "e4c9e6ef",
   "metadata": {},
   "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>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>19000.0</td>\n",
       "      <td>10000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>14000.0</td>\n",
       "      <td>500000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>January 15, 2018</td>\n",
       "      <td>2.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510</td>\n",
       "      <td>8.7</td>\n",
       "      <td>5000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 1, 2018</td>\n",
       "      <td>1.2.4</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sketch - Draw &amp; Paint</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>215644</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>50000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>June 8, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967</td>\n",
       "      <td>2.8</td>\n",
       "      <td>100000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>June 20, 2018</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</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>10836</th>\n",
       "      <td>Sya9a Maroc - FR</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.5</td>\n",
       "      <td>38</td>\n",
       "      <td>53000.0</td>\n",
       "      <td>5000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>3.6</td>\n",
       "      <td>100</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Education</td>\n",
       "      <td>July 6, 2018</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10838</th>\n",
       "      <td>Parkinson Exercices FR</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>9.5</td>\n",
       "      <td>1000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>January 20, 2017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2 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>NaN</td>\n",
       "      <td>1000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>19000.0</td>\n",
       "      <td>10000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>10840 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",
       "10836                                   Sya9a Maroc - FR               FAMILY   \n",
       "10837                   Fr. Mike Schmitz Audio Teachings               FAMILY   \n",
       "10838                             Parkinson Exercices FR              MEDICAL   \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 Content Rating  \\\n",
       "0         4.1      159  19000.0     10000  Free    0.0       Everyone   \n",
       "1         3.9      967  14000.0    500000  Free    0.0       Everyone   \n",
       "2         4.7    87510      8.7   5000000  Free    0.0       Everyone   \n",
       "3         4.5   215644  25000.0  50000000  Free    0.0           Teen   \n",
       "4         4.3      967      2.8    100000  Free    0.0       Everyone   \n",
       "...       ...      ...      ...       ...   ...    ...            ...   \n",
       "10836     4.5       38  53000.0      5000  Free    0.0       Everyone   \n",
       "10837     5.0        4      3.6       100  Free    0.0       Everyone   \n",
       "10838     NaN        3      9.5      1000  Free    0.0       Everyone   \n",
       "10839     4.5      114      NaN      1000  Free    0.0     Mature 17+   \n",
       "10840     4.5   398307  19000.0  10000000  Free    0.0       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",
       "10836                  Education     July 25, 2017                1.48   \n",
       "10837                  Education      July 6, 2018                 1.0   \n",
       "10838                    Medical  January 20, 2017                 1.0   \n",
       "10839          Books & Reference  January 19, 2015  Varies with device   \n",
       "10840                  Lifestyle     July 25, 2018  Varies with device   \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  \n",
       "...                   ...  \n",
       "10836          4.1 and up  \n",
       "10837          4.1 and up  \n",
       "10838          2.2 and up  \n",
       "10839  Varies with device  \n",
       "10840  Varies with device  \n",
       "\n",
       "[10840 rows x 13 columns]"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "404ce10b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='count'>"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_copy['Category'].value_counts().plot.pie(y = df_copy['Category'], autopct = '%1.1f%%', figsize = (12, 12))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "2e2834df",
   "metadata": {},
   "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>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>19000.0</td>\n",
       "      <td>10000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>14000.0</td>\n",
       "      <td>500000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>January 15, 2018</td>\n",
       "      <td>2.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510</td>\n",
       "      <td>8.7</td>\n",
       "      <td>5000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 1, 2018</td>\n",
       "      <td>1.2.4</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sketch - Draw &amp; Paint</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>215644</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>50000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>June 8, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967</td>\n",
       "      <td>2.8</td>\n",
       "      <td>100000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>June 20, 2018</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</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>10836</th>\n",
       "      <td>Sya9a Maroc - FR</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.5</td>\n",
       "      <td>38</td>\n",
       "      <td>53000.0</td>\n",
       "      <td>5000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>3.6</td>\n",
       "      <td>100</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Education</td>\n",
       "      <td>July 6, 2018</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10838</th>\n",
       "      <td>Parkinson Exercices FR</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>9.5</td>\n",
       "      <td>1000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>January 20, 2017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2 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>NaN</td>\n",
       "      <td>1000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>19000.0</td>\n",
       "      <td>10000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>10840 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",
       "10836                                   Sya9a Maroc - FR               FAMILY   \n",
       "10837                   Fr. Mike Schmitz Audio Teachings               FAMILY   \n",
       "10838                             Parkinson Exercices FR              MEDICAL   \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 Content Rating  \\\n",
       "0         4.1      159  19000.0     10000  Free    0.0       Everyone   \n",
       "1         3.9      967  14000.0    500000  Free    0.0       Everyone   \n",
       "2         4.7    87510      8.7   5000000  Free    0.0       Everyone   \n",
       "3         4.5   215644  25000.0  50000000  Free    0.0           Teen   \n",
       "4         4.3      967      2.8    100000  Free    0.0       Everyone   \n",
       "...       ...      ...      ...       ...   ...    ...            ...   \n",
       "10836     4.5       38  53000.0      5000  Free    0.0       Everyone   \n",
       "10837     5.0        4      3.6       100  Free    0.0       Everyone   \n",
       "10838     NaN        3      9.5      1000  Free    0.0       Everyone   \n",
       "10839     4.5      114      NaN      1000  Free    0.0     Mature 17+   \n",
       "10840     4.5   398307  19000.0  10000000  Free    0.0       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",
       "10836                  Education     July 25, 2017                1.48   \n",
       "10837                  Education      July 6, 2018                 1.0   \n",
       "10838                    Medical  January 20, 2017                 1.0   \n",
       "10839          Books & Reference  January 19, 2015  Varies with device   \n",
       "10840                  Lifestyle     July 25, 2018  Varies with device   \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  \n",
       "...                   ...  \n",
       "10836          4.1 and up  \n",
       "10837          4.1 and up  \n",
       "10838          2.2 and up  \n",
       "10839  Varies with device  \n",
       "10840  Varies with device  \n",
       "\n",
       "[10840 rows x 13 columns]"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7228b6a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Q what is top 10 category of app?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "id": "bdc90286",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Category\n",
       "FAMILY             1972\n",
       "GAME               1144\n",
       "TOOLS               843\n",
       "MEDICAL             463\n",
       "BUSINESS            460\n",
       "PRODUCTIVITY        424\n",
       "PERSONALIZATION     392\n",
       "COMMUNICATION       387\n",
       "SPORTS              384\n",
       "LIFESTYLE           382\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy[\"Category\"].value_counts()[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "553a6443",
   "metadata": {},
   "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>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>19000.0</td>\n",
       "      <td>10000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>14000.0</td>\n",
       "      <td>500000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>January 15, 2018</td>\n",
       "      <td>2.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510</td>\n",
       "      <td>8.7</td>\n",
       "      <td>5000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 1, 2018</td>\n",
       "      <td>1.2.4</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sketch - Draw &amp; Paint</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>215644</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>50000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>June 8, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967</td>\n",
       "      <td>2.8</td>\n",
       "      <td>100000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>June 20, 2018</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</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>10836</th>\n",
       "      <td>Sya9a Maroc - FR</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.5</td>\n",
       "      <td>38</td>\n",
       "      <td>53000.0</td>\n",
       "      <td>5000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>3.6</td>\n",
       "      <td>100</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Education</td>\n",
       "      <td>July 6, 2018</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10838</th>\n",
       "      <td>Parkinson Exercices FR</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>9.5</td>\n",
       "      <td>1000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>January 20, 2017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2 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>NaN</td>\n",
       "      <td>1000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>19000.0</td>\n",
       "      <td>10000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>10840 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",
       "10836                                   Sya9a Maroc - FR               FAMILY   \n",
       "10837                   Fr. Mike Schmitz Audio Teachings               FAMILY   \n",
       "10838                             Parkinson Exercices FR              MEDICAL   \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 Content Rating  \\\n",
       "0         4.1      159  19000.0     10000  Free    0.0       Everyone   \n",
       "1         3.9      967  14000.0    500000  Free    0.0       Everyone   \n",
       "2         4.7    87510      8.7   5000000  Free    0.0       Everyone   \n",
       "3         4.5   215644  25000.0  50000000  Free    0.0           Teen   \n",
       "4         4.3      967      2.8    100000  Free    0.0       Everyone   \n",
       "...       ...      ...      ...       ...   ...    ...            ...   \n",
       "10836     4.5       38  53000.0      5000  Free    0.0       Everyone   \n",
       "10837     5.0        4      3.6       100  Free    0.0       Everyone   \n",
       "10838     NaN        3      9.5      1000  Free    0.0       Everyone   \n",
       "10839     4.5      114      NaN      1000  Free    0.0     Mature 17+   \n",
       "10840     4.5   398307  19000.0  10000000  Free    0.0       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",
       "10836                  Education     July 25, 2017                1.48   \n",
       "10837                  Education      July 6, 2018                 1.0   \n",
       "10838                    Medical  January 20, 2017                 1.0   \n",
       "10839          Books & Reference  January 19, 2015  Varies with device   \n",
       "10840                  Lifestyle     July 25, 2018  Varies with device   \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  \n",
       "...                   ...  \n",
       "10836          4.1 and up  \n",
       "10837          4.1 and up  \n",
       "10838          2.2 and up  \n",
       "10839  Varies with device  \n",
       "10840  Varies with device  \n",
       "\n",
       "[10840 rows x 13 columns]"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "555669c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Category</th>\n",
       "      <th>Installs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GAME</td>\n",
       "      <td>35086024415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>COMMUNICATION</td>\n",
       "      <td>32647276251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PRODUCTIVITY</td>\n",
       "      <td>14176091369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SOCIAL</td>\n",
       "      <td>14069867902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TOOLS</td>\n",
       "      <td>11452771915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>FAMILY</td>\n",
       "      <td>10258263505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>PHOTOGRAPHY</td>\n",
       "      <td>10088247655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NEWS_AND_MAGAZINES</td>\n",
       "      <td>7496317760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>TRAVEL_AND_LOCAL</td>\n",
       "      <td>6868887146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>VIDEO_PLAYERS</td>\n",
       "      <td>6222002720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>SHOPPING</td>\n",
       "      <td>3247848785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>ENTERTAINMENT</td>\n",
       "      <td>2869160000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>PERSONALIZATION</td>\n",
       "      <td>2325494782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>BOOKS_AND_REFERENCE</td>\n",
       "      <td>1921469576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>SPORTS</td>\n",
       "      <td>1751174498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>HEALTH_AND_FITNESS</td>\n",
       "      <td>1583072512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>BUSINESS</td>\n",
       "      <td>1001914865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>FINANCE</td>\n",
       "      <td>876648734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>EDUCATION</td>\n",
       "      <td>871452000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>MAPS_AND_NAVIGATION</td>\n",
       "      <td>724281890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>LIFESTYLE</td>\n",
       "      <td>537643539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>WEATHER</td>\n",
       "      <td>426100520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>FOOD_AND_DRINK</td>\n",
       "      <td>273898751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>DATING</td>\n",
       "      <td>264310807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>HOUSE_AND_HOME</td>\n",
       "      <td>168712461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>124338100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>LIBRARIES_AND_DEMO</td>\n",
       "      <td>62995910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>COMICS</td>\n",
       "      <td>56086150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>53257437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>53130211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>PARENTING</td>\n",
       "      <td>31521110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>BEAUTY</td>\n",
       "      <td>27197050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>EVENTS</td>\n",
       "      <td>15973161</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Category     Installs\n",
       "0                  GAME  35086024415\n",
       "1         COMMUNICATION  32647276251\n",
       "2          PRODUCTIVITY  14176091369\n",
       "3                SOCIAL  14069867902\n",
       "4                 TOOLS  11452771915\n",
       "5                FAMILY  10258263505\n",
       "6           PHOTOGRAPHY  10088247655\n",
       "7    NEWS_AND_MAGAZINES   7496317760\n",
       "8      TRAVEL_AND_LOCAL   6868887146\n",
       "9         VIDEO_PLAYERS   6222002720\n",
       "10             SHOPPING   3247848785\n",
       "11        ENTERTAINMENT   2869160000\n",
       "12      PERSONALIZATION   2325494782\n",
       "13  BOOKS_AND_REFERENCE   1921469576\n",
       "14               SPORTS   1751174498\n",
       "15   HEALTH_AND_FITNESS   1583072512\n",
       "16             BUSINESS   1001914865\n",
       "17              FINANCE    876648734\n",
       "18            EDUCATION    871452000\n",
       "19  MAPS_AND_NAVIGATION    724281890\n",
       "20            LIFESTYLE    537643539\n",
       "21              WEATHER    426100520\n",
       "22       FOOD_AND_DRINK    273898751\n",
       "23               DATING    264310807\n",
       "24       HOUSE_AND_HOME    168712461\n",
       "25       ART_AND_DESIGN    124338100\n",
       "26   LIBRARIES_AND_DEMO     62995910\n",
       "27               COMICS     56086150\n",
       "28              MEDICAL     53257437\n",
       "29    AUTO_AND_VEHICLES     53130211\n",
       "30            PARENTING     31521110\n",
       "31               BEAUTY     27197050\n",
       "32               EVENTS     15973161"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Which category has the highest installation?\n",
    "df_copy.groupby(['Category'])['Installs'].sum().sort_values(ascending = False).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "febd42f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "#what are top 5 installed apps in each popular category Type\n",
    "\n",
    "df_temp = df_copy.groupby(['Category', 'Type'])['Installs'].sum().sort_values(ascending = True).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "1b68af9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Category            Type\n",
       "EVENTS              Paid              1\n",
       "LIBRARIES_AND_DEMO  Paid            100\n",
       "NEWS_AND_MAGAZINES  Paid           5500\n",
       "SOCIAL              Paid           6000\n",
       "SHOPPING            Paid          10100\n",
       "                               ...     \n",
       "TOOLS               Free    11451044474\n",
       "SOCIAL              Free    14069861902\n",
       "PRODUCTIVITY        Free    14174679314\n",
       "COMMUNICATION       Free    32645916201\n",
       "GAME                Free    35064924450\n",
       "Name: Installs, Length: 63, dtype: int64"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy.groupby(['Category', 'Type'])['Installs'].sum().sort_values(ascending = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "b88f3eb5",
   "metadata": {},
   "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>Category</th>\n",
       "      <th>Type</th>\n",
       "      <th>Installs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>GAME</td>\n",
       "      <td>Paid</td>\n",
       "      <td>21099965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>GAME</td>\n",
       "      <td>Free</td>\n",
       "      <td>35064924450</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Category  Type     Installs\n",
       "29     GAME  Paid     21099965\n",
       "62     GAME  Free  35064924450"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp[df_temp.Category == \"GAME\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a50c8e9d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9746555e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "320c8098",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f354a406",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b8e1e326",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5958da15",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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