Team_Colab_Play Store App Review Analysis - Capstone Project.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.6.6"},"colab":{"provenance":[{"file_id":"1Wp5k_XxL7-pYAjearC9Od7hJhgIA0RoV","timestamp":1667384174358},{"file_id":"1KNx2-lMsfxLj8Qi5Ez9LOXpMHRWtSHNK","timestamp":1604585315628}],"collapsed_sections":[]}},"cells":[{"cell_type":"markdown","metadata":{"id":"Y06xIdG26kRF"},"source":["## <b> The Play Store apps data has enormous potential to drive app-making businesses to success. Actionable insights can be drawn for developers to work on and capture the Android market. </b>\n","\n","## <b> Each app (row) has values for catergory, rating, size, and more. Another dataset contains customer reviews of the android apps.</b>\n","\n","## <b> Explore and analyze the data to discover key factors responsible for app engagement and success. </b>"]},{"cell_type":"markdown","source":["![playstore.webp](data:image/webp;base64,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)"],"metadata":{"id":"SxHL_RCp3FoW"}},{"cell_type":"markdown","source":["#**Play Store App Review Analysis**"],"metadata":{"id":"mQLBjm0s2Yv_"}},{"cell_type":"markdown","source":["## **Imporating Required Packages**"],"metadata":{"id":"5cxLVftx2t4H"}},{"cell_type":"code","metadata":{"id":"dByMsuzT8Tnw","executionInfo":{"status":"ok","timestamp":1667818053218,"user_tz":-330,"elapsed":2713,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}}},"source":["# Importing libraries\n","import pandas as pd               # for data manipulation\n","import numpy as np                # for mathemathical operations and linear algebra\n","import matplotlib.pyplot as plt   # for data visualization\n","import seaborn as sns             # for data visualization \n","%matplotlib inline\n"],"execution_count":1,"outputs":[]},{"cell_type":"markdown","source":["##**Import Playstore Data and User Review Data**"],"metadata":{"id":"N1ATWqt22_m-"}},{"cell_type":"code","source":["#Google drive mounting\n","\n","from google.colab import drive\n","drive.mount('/content/drive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"9klm5Sp8205I","executionInfo":{"status":"ok","timestamp":1667818083727,"user_tz":-330,"elapsed":28533,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"10872649-390e-4053-a5ad-1c56b82472e1"},"execution_count":2,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"code","source":["\n","\n","#Read dataset using pandas lib.\n","playstore_data_path = \"/content/drive/MyDrive/AlmaBetter/Capstone_Project_1/Play Store Data.csv\" #path define from Google Drive\n","user_reviews_path = \"/content/drive/MyDrive/AlmaBetter/Capstone_Project_1/User Reviews.csv\"\n","\n","#load data\n","\n","playstore_df= pd.read_csv(playstore_data_path)\n","user_reviews_df= pd.read_csv(user_reviews_path)"],"metadata":{"id":"Dtp6n8Yl208V","executionInfo":{"status":"ok","timestamp":1667818087617,"user_tz":-330,"elapsed":1349,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}}},"execution_count":3,"outputs":[]},{"cell_type":"markdown","source":["##**Load Dataframes For Visual Analysis of Both Data (First 10 and Last 5 Rows Loading)**"],"metadata":{"id":"KguvktFn4TTI"}},{"cell_type":"code","source":["playstore_df.head(10) #for Loading first 10 rows of playstore dataframe"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":363},"id":"HTxpjJ6d20_x","executionInfo":{"status":"ok","timestamp":1667446336052,"user_tz":-330,"elapsed":1382,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"3b6939bd-14a7-4a83-d5d9-98dcdc312ff9"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"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","5                         Paper flowers instructions  ART_AND_DESIGN     4.4   \n","6            Smoke Effect Photo Maker - Smoke Editor  ART_AND_DESIGN     3.8   \n","7                                   Infinite Painter  ART_AND_DESIGN     4.1   \n","8                               Garden Coloring Book  ART_AND_DESIGN     4.4   \n","9                      Kids Paint Free - Drawing Fun  ART_AND_DESIGN     4.7   \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","5     167  5.6M      50,000+  Free     0       Everyone   \n","6     178   19M      50,000+  Free     0       Everyone   \n","7   36815   29M   1,000,000+  Free     0       Everyone   \n","8   13791   33M   1,000,000+  Free     0       Everyone   \n","9     121  3.1M      10,000+  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","5               Art & Design      March 26, 2017                 1.0   \n","6               Art & Design      April 26, 2018                 1.1   \n","7               Art & Design       June 14, 2018            6.1.61.1   \n","8               Art & Design  September 20, 2017               2.9.2   \n","9    Art & Design;Creativity        July 3, 2018                 2.8   \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","5    2.3 and up  \n","6  4.0.3 and up  \n","7    4.2 and up  \n","8    3.0 and up  \n","9  4.0.3 and up  "],"text/html":["\n","  <div id=\"df-65757341-6943-4775-ab1c-9a4c4537930b\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>App</th>\n","      <th>Category</th>\n","      <th>Rating</th>\n","      <th>Reviews</th>\n","      <th>Size</th>\n","      <th>Installs</th>\n","      <th>Type</th>\n","      <th>Price</th>\n","      <th>Content Rating</th>\n","      <th>Genres</th>\n","      <th>Last Updated</th>\n","      <th>Current Ver</th>\n","      <th>Android Ver</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Photo Editor &amp; Candy Camera &amp; Grid &amp; ScrapBook</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>4.1</td>\n","      <td>159</td>\n","      <td>19M</td>\n","      <td>10,000+</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Everyone</td>\n","      <td>Art &amp; Design</td>\n","      <td>January 7, 2018</td>\n","      <td>1.0.0</td>\n","      <td>4.0.3 and up</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Coloring book moana</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>3.9</td>\n","      <td>967</td>\n","      <td>14M</td>\n","      <td>500,000+</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Everyone</td>\n","      <td>Art &amp; Design;Pretend Play</td>\n","      <td>January 15, 2018</td>\n","      <td>2.0.0</td>\n","      <td>4.0.3 and up</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>4.7</td>\n","      <td>87510</td>\n","      <td>8.7M</td>\n","      <td>5,000,000+</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Everyone</td>\n","      <td>Art &amp; Design</td>\n","      <td>August 1, 2018</td>\n","      <td>1.2.4</td>\n","      <td>4.0.3 and up</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Sketch - Draw &amp; Paint</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>4.5</td>\n","      <td>215644</td>\n","      <td>25M</td>\n","      <td>50,000,000+</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Teen</td>\n","      <td>Art &amp; Design</td>\n","      <td>June 8, 2018</td>\n","      <td>Varies with device</td>\n","      <td>4.2 and up</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Pixel Draw - Number Art Coloring Book</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>4.3</td>\n","      <td>967</td>\n","      <td>2.8M</td>\n","      <td>100,000+</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Everyone</td>\n","      <td>Art &amp; Design;Creativity</td>\n","      <td>June 20, 2018</td>\n","      <td>1.1</td>\n","      <td>4.4 and up</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Paper flowers instructions</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>4.4</td>\n","      <td>167</td>\n","      <td>5.6M</td>\n","      <td>50,000+</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Everyone</td>\n","      <td>Art &amp; Design</td>\n","      <td>March 26, 2017</td>\n","      <td>1.0</td>\n","      <td>2.3 and up</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>Smoke Effect Photo Maker - Smoke Editor</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>3.8</td>\n","      <td>178</td>\n","      <td>19M</td>\n","      <td>50,000+</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Everyone</td>\n","      <td>Art &amp; Design</td>\n","      <td>April 26, 2018</td>\n","      <td>1.1</td>\n","      <td>4.0.3 and up</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>Infinite Painter</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>4.1</td>\n","      <td>36815</td>\n","      <td>29M</td>\n","      <td>1,000,000+</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Everyone</td>\n","      <td>Art &amp; Design</td>\n","      <td>June 14, 2018</td>\n","      <td>6.1.61.1</td>\n","      <td>4.2 and up</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>Garden Coloring Book</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>4.4</td>\n","      <td>13791</td>\n","      <td>33M</td>\n","      <td>1,000,000+</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Everyone</td>\n","      <td>Art &amp; Design</td>\n","      <td>September 20, 2017</td>\n","      <td>2.9.2</td>\n","      <td>3.0 and up</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>Kids Paint Free - Drawing Fun</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>4.7</td>\n","      <td>121</td>\n","      <td>3.1M</td>\n","      <td>10,000+</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Everyone</td>\n","      <td>Art &amp; Design;Creativity</td>\n","      <td>July 3, 2018</td>\n","      <td>2.8</td>\n","      <td>4.0.3 and up</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-65757341-6943-4775-ab1c-9a4c4537930b')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-65757341-6943-4775-ab1c-9a4c4537930b button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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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  "],"text/html":["\n","  <div id=\"df-8472157e-f236-4eca-91c1-b9035ca4d9d4\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\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>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. 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That's I'm cooking ...   \n","1  10 Best Foods for You    This help eating healthy exercise regular basis   \n","2  10 Best Foods for You                                                NaN   \n","3  10 Best Foods for You         Works great especially going grocery store   \n","4  10 Best Foods for You                                       Best idea us   \n","5  10 Best Foods for You                                           Best way   \n","6  10 Best Foods for You                                            Amazing   \n","7  10 Best Foods for You                                                NaN   \n","8  10 Best Foods for You                               Looking forward app,   \n","9  10 Best Foods for You              It helpful site ! It help foods get !   \n","\n","  Sentiment  Sentiment_Polarity  Sentiment_Subjectivity  \n","0  Positive                1.00                0.533333  \n","1  Positive                0.25                0.288462  \n","2       NaN                 NaN                     NaN  \n","3  Positive                0.40                0.875000  \n","4  Positive                1.00                0.300000  \n","5  Positive                1.00                0.300000  \n","6  Positive                0.60                0.900000  \n","7       NaN                 NaN                     NaN  \n","8   Neutral                0.00                0.000000  \n","9   Neutral                0.00                0.000000  "],"text/html":["\n","  <div id=\"df-4cf7d3a4-83af-4de5-a0d8-67401b295ddb\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\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>Translated_Review</th>\n","      <th>Sentiment</th>\n","      <th>Sentiment_Polarity</th>\n","      <th>Sentiment_Subjectivity</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>10 Best Foods for You</td>\n","      <td>I like eat delicious food. 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It help foods get !</td>\n","      <td>Neutral</td>\n","      <td>0.00</td>\n","      <td>0.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4cf7d3a4-83af-4de5-a0d8-67401b295ddb')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-4cf7d3a4-83af-4de5-a0d8-67401b295ddb button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Ideas</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>64292</th>\n","      <td>Houzz Interior Design Ideas</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>64293</th>\n","      <td>Houzz Interior Design Ideas</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>64294</th>\n","      <td>Houzz Interior Design Ideas</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>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-31a6aaca-6d7c-498b-b994-6ede785e8278')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg 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Khan","userId":"16992096858502797395"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"250950fb-78a9-462c-f7a8-7410c57429a3"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["The google.colab.data_table extension is not loaded.\n"]}]},{"cell_type":"code","source":["#demo to load data like table with filter \n","from google.colab import data_table\n","data_table.DataTable(playstore_df, include_index=True, num_rows_per_page=10)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":314,"output_embedded_package_id":"1SOY25Qfnle2pqa9cSCaxQCZ7F5rIr0ui"},"id":"LJWlum-521O7","executionInfo":{"status":"ok","timestamp":1667446358005,"user_tz":-330,"elapsed":3859,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"8ec3f311-493a-41d4-cc6c-5e22aa0987e1"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":"Output hidden; open in https://colab.research.google.com to view."},"metadata":{}}]},{"cell_type":"markdown","source":["##**Find Duplicate Data and Remove Duplicates**"],"metadata":{"id":"kww8K0HS5jA1"}},{"cell_type":"code","source":["print(\"Shape of playstore_df DataFreame:\",playstore_df.shape) #dataframe shape before removing duplicates \n","print(\"Shape of user_reviews_df DataFreame:\",user_reviews_df.shape)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"xx2bKB0n21SL","executionInfo":{"status":"ok","timestamp":1667446358006,"user_tz":-330,"elapsed":42,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"6cbaf6de-e63b-41ba-df0d-70afa3327557"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Shape of playstore_df DataFreame: (10841, 13)\n","Shape of user_reviews_df DataFreame: (64295, 5)\n"]}]},{"cell_type":"code","source":["print(\"Duplicate entry in playstore_df data:\",len(playstore_df[playstore_df.duplicated()])) #total number of duplicates\n","print(\"Duplicate entry in user_reviews_df data:\",len(user_reviews_df[user_reviews_df.duplicated()]))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Hb7He9wM21VP","executionInfo":{"status":"ok","timestamp":1667446358007,"user_tz":-330,"elapsed":39,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"f5da5e45-9cb2-49f7-dd1f-8452921fd3a0"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Duplicate entry in playstore_df data: 483\n","Duplicate entry in user_reviews_df data: 33616\n"]}]},{"cell_type":"code","source":["duplicate_playstore = playstore_df[playstore_df.duplicated(keep = 'last') ] #list of all duplicates values"],"metadata":{"id":"Zb4BkRs321Ye"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["duplicate_playstore"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"id":"dFeEPu6U21bk","executionInfo":{"status":"ok","timestamp":1667446358008,"user_tz":-330,"elapsed":37,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"b7ef91dd-823d-400c-83c0-8524e3a95505"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                                App             Category  Rating Reviews  \\\n","164                    Ebook Reader  BOOKS_AND_REFERENCE     4.1   85842   \n","192   Docs To Go™ Free Office Suite             BUSINESS     4.1  217730   \n","193              Google My Business             BUSINESS     4.4   70991   \n","204                             Box             BUSINESS     4.2  159872   \n","213             ZOOM Cloud Meetings             BUSINESS     4.4   31614   \n","...                             ...                  ...     ...     ...   \n","3787     ABC News - US & World News   NEWS_AND_MAGAZINES     4.0   18976   \n","3788                       NBC News   NEWS_AND_MAGAZINES     4.1   63020   \n","3790                      USA TODAY   NEWS_AND_MAGAZINES     4.1   49259   \n","3792   CNN Breaking US & World News   NEWS_AND_MAGAZINES     4.0  293080   \n","3795   Newsroom: News Worth Sharing   NEWS_AND_MAGAZINES     4.2  201737   \n","\n","                    Size     Installs  Type Price Content Rating  \\\n","164                  37M   5,000,000+  Free     0       Everyone   \n","192   Varies with device  50,000,000+  Free     0       Everyone   \n","193   Varies with device   5,000,000+  Free     0       Everyone   \n","204   Varies with device  10,000,000+  Free     0       Everyone   \n","213                  37M  10,000,000+  Free     0       Everyone   \n","...                  ...          ...   ...   ...            ...   \n","3787                 35M   1,000,000+  Free     0   Everyone 10+   \n","3788  Varies with device   5,000,000+  Free     0   Everyone 10+   \n","3790  Varies with device   5,000,000+  Free     0   Everyone 10+   \n","3792                 25M  10,000,000+  Free     0   Everyone 10+   \n","3795  Varies with device  10,000,000+  Free     0   Everyone 10+   \n","\n","                 Genres       Last Updated         Current Ver  \\\n","164   Books & Reference      June 25, 2018               5.0.6   \n","192            Business      April 2, 2018  Varies with device   \n","193            Business      July 24, 2018    2.19.0.204537701   \n","204            Business      July 31, 2018  Varies with device   \n","213            Business      July 20, 2018      4.1.28165.0716   \n","...                 ...                ...                 ...   \n","3787   News & Magazines       June 6, 2018             3.19.11   \n","3788   News & Magazines  February 13, 2018  Varies with device   \n","3790   News & Magazines     August 2, 2018  Varies with device   \n","3792   News & Magazines     August 6, 2018                5.17   \n","3795   News & Magazines       July 3, 2018  Varies with device   \n","\n","             Android Ver  \n","164           4.0 and up  \n","192   Varies with device  \n","193           4.4 and up  \n","204   Varies with device  \n","213           4.0 and up  \n","...                  ...  \n","3787          5.0 and up  \n","3788  Varies with device  \n","3790  Varies with device  \n","3792          4.4 and up  \n","3795  Varies with device  \n","\n","[483 rows x 13 columns]"],"text/html":["\n","  <div id=\"df-0c7e9c20-4a74-4b5e-9a53-b826c9c5cc54\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: 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<th>192</th>\n","      <td>Docs To Go™ Free Office Suite</td>\n","      <td>BUSINESS</td>\n","      <td>4.1</td>\n","      <td>217730</td>\n","      <td>Varies with device</td>\n","      <td>50,000,000+</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Everyone</td>\n","      <td>Business</td>\n","      <td>April 2, 2018</td>\n","      <td>Varies with device</td>\n","      <td>Varies with device</td>\n","    </tr>\n","    <tr>\n","      <th>193</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>204</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>213</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>...</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","     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     <th>3790</th>\n","      <td>USA TODAY</td>\n","      <td>NEWS_AND_MAGAZINES</td>\n","      <td>4.1</td>\n","      <td>49259</td>\n","      <td>Varies with device</td>\n","      <td>5,000,000+</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Everyone 10+</td>\n","      <td>News &amp; Magazines</td>\n","      <td>August 2, 2018</td>\n","      <td>Varies with device</td>\n","      <td>Varies with device</td>\n","    </tr>\n","    <tr>\n","      <th>3792</th>\n","      <td>CNN Breaking US &amp; World News</td>\n","      <td>NEWS_AND_MAGAZINES</td>\n","      <td>4.0</td>\n","      <td>293080</td>\n","      <td>25M</td>\n","      <td>10,000,000+</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Everyone 10+</td>\n","      <td>News &amp; Magazines</td>\n","      <td>August 6, 2018</td>\n","      <td>5.17</td>\n","      <td>4.4 and up</td>\n","    </tr>\n","    <tr>\n","      <th>3795</th>\n","      <td>Newsroom: News Worth Sharing</td>\n","      <td>NEWS_AND_MAGAZINES</td>\n","      <td>4.2</td>\n","      <td>201737</td>\n","      <td>Varies with device</td>\n","      <td>10,000,000+</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Everyone 10+</td>\n","      <td>News &amp; Magazines</td>\n","      <td>July 3, 2018</td>\n","      <td>Varies with device</td>\n","      <td>Varies with device</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>483 rows × 13 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0c7e9c20-4a74-4b5e-9a53-b826c9c5cc54')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 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That's I'm cooking ...  Positive   \n","1        This help eating healthy exercise regular basis  Positive   \n","2                                                    NaN       NaN   \n","3             Works great especially going grocery store  Positive   \n","4                                           Best idea us  Positive   \n","...                                                  ...       ...   \n","64289                                                NaN       NaN   \n","64290                                                NaN       NaN   \n","64291                                                NaN       NaN   \n","64292                                                NaN       NaN   \n","64293                                                NaN       NaN   \n","\n","       Sentiment_Polarity  Sentiment_Subjectivity  \n","0                    1.00                0.533333  \n","1                    0.25                0.288462  \n","2                     NaN                     NaN  \n","3                    0.40                0.875000  \n","4                    1.00                0.300000  \n","...                   ...                     ...  \n","64289                 NaN                     NaN  \n","64290                 NaN                     NaN  \n","64291                 NaN                     NaN  \n","64292                 NaN                     NaN  \n","64293                 NaN                     NaN  \n","\n","[33616 rows x 5 columns]"],"text/html":["\n","  <div id=\"df-e6be47c5-cece-4f38-b29c-452c37656ada\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\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>Translated_Review</th>\n","      <th>Sentiment</th>\n","      <th>Sentiment_Polarity</th>\n","      <th>Sentiment_Subjectivity</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>10 Best Foods for You</td>\n","      <td>I like eat delicious food. 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":93}]},{"cell_type":"code","source":["#Remove Duplicates from Main Database\n","user_reviews_df1 = user_reviews_df.drop_duplicates() #remove duplicate and save as new DataFrame user_reviews_df1\n","user_reviews_df.shape #shape after removing duplicates"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"bPVQWfRi21ks","executionInfo":{"status":"ok","timestamp":1667446358018,"user_tz":-330,"elapsed":41,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"c74bd1b1-0737-416e-98c0-9ef8d1fec6ad"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(64295, 5)"]},"metadata":{},"execution_count":94}]},{"cell_type":"markdown","source":["**Details of Each Columns of user_reviews_df DataFrame**\n","\n","|Columns_Name|Details_of_Contains|\n","|------------|-------------------|\n","|**App**|The app name.|\n","|**Translated_Review**|Review text in English.|\n","|**Sentiment**|Sentiment of the review, which can be positive, neutral, or negative.|\n","|**Sentiment_Polarity**|Sentiment in numerical form, ranging from -1.00 to 1.00.|\n","|**Sentiment_Subjectivity**|Measure of the expression of opinions, evaluations, feelings, and speculations|\n"],"metadata":{"id":"WKIGsK3F5-vP"}},{"cell_type":"markdown","source":["## **Analysis DataFrame (Coloums Name, Total rows and columns, Data types of columns,Null values)**"],"metadata":{"id":"OmboYgvy6Exk"}},{"cell_type":"code","source":["#removing unnecessary characters and save as playstore_df2\n","playstore_df2=playstore_df1.replace('[+,$]','',regex=True)\n","playstore_df2"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":606},"id":"qAREvT8j21oD","executionInfo":{"status":"ok","timestamp":1667446360054,"user_tz":-330,"elapsed":2070,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"af04f0e7-9d9c-4355-cd9e-37a9b9a8ec8f"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"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 Apps       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     10000  Free     0   \n","1         3.9     967                 14M    500000  Free     0   \n","2         4.7   87510                8.7M   5000000  Free     0   \n","3         4.5  215644                 25M  50000000  Free     0   \n","4         4.3     967                2.8M    100000  Free     0   \n","...       ...     ...                 ...       ...   ...   ...   \n","10836     4.5      38                 53M      5000  Free     0   \n","10837     5.0       4                3.6M       100  Free     0   \n","10838     NaN       3                9.5M      1000  Free     0   \n","10839     4.5     114  Varies with device      1000  Free     0   \n","10840     4.5  398307                 19M  10000000  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","[10358 rows x 13 columns]"],"text/html":["\n","  <div id=\"df-f9bea2eb-e782-487d-af78-6f8ff16cd71c\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>App</th>\n","      <th>Category</th>\n","      <th>Rating</th>\n","      <th>Reviews</th>\n","      <th>Size</th>\n","      <th>Installs</th>\n","      <th>Type</th>\n","      <th>Price</th>\n","      <th>Content Rating</th>\n","      <th>Genres</th>\n","      <th>Last Updated</th>\n","      <th>Current Ver</th>\n","      <th>Android Ver</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Photo Editor &amp; Candy Camera &amp; Grid &amp; ScrapBook</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>4.1</td>\n","      <td>159</td>\n","      <td>19M</td>\n","      <td>10000</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Everyone</td>\n","      <td>Art &amp; Design</td>\n","      <td>January 7 2018</td>\n","      <td>1.0.0</td>\n","      <td>4.0.3 and up</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Coloring book moana</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>3.9</td>\n","      <td>967</td>\n","      <td>14M</td>\n","      <td>500000</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 Apps</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>4.7</td>\n","      <td>87510</td>\n","      <td>8.7M</td>\n","      <td>5000000</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>50000000</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>100000</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>5000</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>1000</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>1000</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>10000000</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>10358 rows × 13 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f9bea2eb-e782-487d-af78-6f8ff16cd71c')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-f9bea2eb-e782-487d-af78-6f8ff16cd71c button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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playstore_df2.count()\n","    temp_ps['Unique_Values'] = playstore_df2.nunique()\n","    temp_ps['NaN_Values'] = playstore_df2.isnull().sum()\n","    temp_ps['NaN_Values_Percentage'] = (temp_ps['NaN_Values']/len(playstore_df2))*100 \n","    return temp_ps\n","playstoreinfo()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":493},"id":"JbcCaFKo21q4","executionInfo":{"status":"ok","timestamp":1667446360055,"user_tz":-330,"elapsed":64,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"d31a98d9-84db-403c-f210-30269fd043ab"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Total Rows and Columns in playstore_df2 DataFrame is : (10358, 13) \n","\n"]},{"output_type":"execute_result","data":{"text/plain":["               DataType  Non-null_Values  Unique_Values  NaN_Values  \\\n","App              object            10358           9653           0   \n","Category         object            10358             34           0   \n","Rating          float64             8893             40        1465   \n","Reviews          object            10358           6002           0   \n","Size             object            10358            462           0   \n","Installs         object            10358             21           0   \n","Type             object            10357              3           1   \n","Price            object            10358             93           0   \n","Content Rating   object            10357              6           1   \n","Genres           object            10358            120           0   \n","Last Updated     object            10358           1378           0   \n","Current Ver      object            10350           2832           8   \n","Android Ver      object            10355             33           3   \n","\n","                NaN_Values_Percentage  \n","App                          0.000000  \n","Category                     0.000000  \n","Rating                      14.143657  \n","Reviews                      0.000000  \n","Size                         0.000000  \n","Installs                     0.000000  \n","Type                         0.009654  \n","Price                        0.000000  \n","Content Rating               0.009654  \n","Genres                       0.000000  \n","Last Updated                 0.000000  \n","Current Ver                  0.077235  \n","Android Ver                  0.028963  "],"text/html":["\n","  <div id=\"df-98d742fb-7620-4ce4-ae2d-08008aee7ed2\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\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>DataType</th>\n","      <th>Non-null_Values</th>\n","      <th>Unique_Values</th>\n","      <th>NaN_Values</th>\n","      <th>NaN_Values_Percentage</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>App</th>\n","      <td>object</td>\n","      <td>10358</td>\n","      <td>9653</td>\n","      <td>0</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>Category</th>\n","      <td>object</td>\n","      <td>10358</td>\n","      <td>34</td>\n","      <td>0</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>Rating</th>\n","      <td>float64</td>\n","      <td>8893</td>\n","      <td>40</td>\n","      <td>1465</td>\n","      <td>14.143657</td>\n","    </tr>\n","    <tr>\n","      <th>Reviews</th>\n","      <td>object</td>\n","      <td>10358</td>\n","      <td>6002</td>\n","      <td>0</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>Size</th>\n","      <td>object</td>\n","      <td>10358</td>\n","      <td>462</td>\n","      <td>0</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>Installs</th>\n","      <td>object</td>\n","      <td>10358</td>\n","      <td>21</td>\n","      <td>0</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>Type</th>\n","      <td>object</td>\n","      <td>10357</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>0.009654</td>\n","    </tr>\n","    <tr>\n","      <th>Price</th>\n","      <td>object</td>\n","      <td>10358</td>\n","      <td>93</td>\n","      <td>0</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>Content Rating</th>\n","      <td>object</td>\n","      <td>10357</td>\n","      <td>6</td>\n","      <td>1</td>\n","      <td>0.009654</td>\n","    </tr>\n","    <tr>\n","      <th>Genres</th>\n","      <td>object</td>\n","      <td>10358</td>\n","      <td>120</td>\n","      <td>0</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>Last Updated</th>\n","      <td>object</td>\n","      <td>10358</td>\n","      <td>1378</td>\n","      <td>0</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>Current Ver</th>\n","      <td>object</td>\n","      <td>10350</td>\n","      <td>2832</td>\n","      <td>8</td>\n","      <td>0.077235</td>\n","    </tr>\n","    <tr>\n","      <th>Android Ver</th>\n","      <td>object</td>\n","      <td>10355</td>\n","      <td>33</td>\n","      <td>3</td>\n","      <td>0.028963</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-98d742fb-7620-4ce4-ae2d-08008aee7ed2')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":96}]},{"cell_type":"code","source":["print(\"Total Rows and Columns in user_reviews_df1 DataFrame is :\",user_reviews_df1.shape,\"\\n\") #shape function given details of (Rows,Columns)\n","\n","def userReviewsinfo():\n","    temp_ur = pd.DataFrame(index=user_reviews_df1.columns)\n","    temp_ur['DataType'] = user_reviews_df1.dtypes\n","    temp_ur[\"Non-null_Values\"] = user_reviews_df1.count()\n","    temp_ur['Unique_Values'] = user_reviews_df1.nunique()\n","    temp_ur['NaN_Values'] = user_reviews_df1.isnull().sum()\n","    temp_ur['NaN_Values_Percentage'] = (temp_ur['NaN_Values']/len(user_reviews_df1))*100 \n","    return temp_ur\n","userReviewsinfo()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":243},"id":"-Pb77lFh21us","executionInfo":{"status":"ok","timestamp":1667446360057,"user_tz":-330,"elapsed":56,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"520f3be7-45d6-4a65-c5a7-1be1eea5183a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Total Rows and Columns in user_reviews_df1 DataFrame is : (30679, 5) \n","\n"]},{"output_type":"execute_result","data":{"text/plain":["                       DataType  Non-null_Values  Unique_Values  NaN_Values  \\\n","App                      object            30679           1074           0   \n","Translated_Review        object            29692          27994         987   \n","Sentiment                object            29697              3         982   \n","Sentiment_Polarity      float64            29697           5410         982   \n","Sentiment_Subjectivity  float64            29697           4474         982   \n","\n","                        NaN_Values_Percentage  \n","App                                  0.000000  \n","Translated_Review                    3.217184  \n","Sentiment                            3.200887  \n","Sentiment_Polarity                   3.200887  \n","Sentiment_Subjectivity               3.200887  "],"text/html":["\n","  <div id=\"df-6ce1c6f9-2dcb-4d82-9a11-41ad918314d7\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\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>DataType</th>\n","      <th>Non-null_Values</th>\n","      <th>Unique_Values</th>\n","      <th>NaN_Values</th>\n","      <th>NaN_Values_Percentage</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>App</th>\n","      <td>object</td>\n","      <td>30679</td>\n","      <td>1074</td>\n","      <td>0</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>Translated_Review</th>\n","      <td>object</td>\n","      <td>29692</td>\n","      <td>27994</td>\n","      <td>987</td>\n","      <td>3.217184</td>\n","    </tr>\n","    <tr>\n","      <th>Sentiment</th>\n","      <td>object</td>\n","      <td>29697</td>\n","      <td>3</td>\n","      <td>982</td>\n","      <td>3.200887</td>\n","    </tr>\n","    <tr>\n","      <th>Sentiment_Polarity</th>\n","      <td>float64</td>\n","      <td>29697</td>\n","      <td>5410</td>\n","      <td>982</td>\n","      <td>3.200887</td>\n","    </tr>\n","    <tr>\n","      <th>Sentiment_Subjectivity</th>\n","      <td>float64</td>\n","      <td>29697</td>\n","      <td>4474</td>\n","      <td>982</td>\n","      <td>3.200887</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6ce1c6f9-2dcb-4d82-9a11-41ad918314d7')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path 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'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-6ce1c6f9-2dcb-4d82-9a11-41ad918314d7');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":97}]},{"cell_type":"markdown","source":["## **Data Filtering and Each Columns Data Operation**"],"metadata":{"id":"eFE_bODE6Vsn"}},{"cell_type":"markdown","source":["### **Filtering of User Reviews DataFrame**"],"metadata":{"id":"4EjaHKRF6a2B"}},{"cell_type":"code","source":["#dropped the rows having all null values\n","user_reviews_df2 = user_reviews_df1.dropna(subset=[\"Translated_Review\"],how=\"all\")\n","user_reviews_df2.isnull().sum()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"0nnfwUB721xK","executionInfo":{"status":"ok","timestamp":1667446360058,"user_tz":-330,"elapsed":52,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"ff440ec7-51c8-4b3d-a0e4-d3b1e3f2d81d"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["App                       0\n","Translated_Review         0\n","Sentiment                 0\n","Sentiment_Polarity        0\n","Sentiment_Subjectivity    0\n","dtype: int64"]},"metadata":{},"execution_count":98}]},{"cell_type":"code","source":["user_reviews_df2.describe()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"id":"AA-gcKKJ6XcW","executionInfo":{"status":"ok","timestamp":1667446360059,"user_tz":-330,"elapsed":47,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"9797432e-5845-46a5-81c6-3dc0276056c6"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["       Sentiment_Polarity  Sentiment_Subjectivity\n","count        29692.000000            29692.000000\n","mean             0.188868                0.490930\n","std              0.355694                0.265976\n","min             -1.000000                0.000000\n","25%              0.000000                0.350000\n","50%              0.157143                0.514286\n","75%              0.422917                0.652703\n","max              1.000000                1.000000"],"text/html":["\n","  <div id=\"df-94d5553d-4a4d-4c07-b647-1ad3bac27d93\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","   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<th>75%</th>\n","      <td>0.422917</td>\n","      <td>0.652703</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-94d5553d-4a4d-4c07-b647-1ad3bac27d93')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: 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'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-94d5553d-4a4d-4c07-b647-1ad3bac27d93');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? 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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     10000  Free     0   \n","2         4.7   87510                8.7M   5000000  Free     0   \n","3         4.5  215644                 25M  50000000  Free     0   \n","4         4.3     967                2.8M    100000  Free     0   \n","5         4.4     167                5.6M     50000  Free     0   \n","...       ...     ...                 ...       ...   ...   ...   \n","10836     4.5      38                 53M      5000  Free     0   \n","10837     5.0       4                3.6M       100  Free     0   \n","10838     NaN       3                9.5M      1000  Free     0   \n","10839     4.5     114  Varies with device      1000  Free     0   \n","10840     4.5  398307                 19M  10000000  Free     0   \n","\n","      Content Rating                   Genres     Last Updated  \\\n","0           Everyone             Art & Design   January 7 2018   \n","2           Everyone             Art & Design    August 1 2018   \n","3               Teen             Art & Design      June 8 2018   \n","4           Everyone  Art & Design;Creativity     June 20 2018   \n","5           Everyone             Art & Design    March 26 2017   \n","...              ...                      ...              ...   \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","2                   1.2.4        4.0.3 and up  \n","3      Varies with device          4.2 and up  \n","4                     1.1          4.4 and up  \n","5                     1.0          2.3 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","[9653 rows x 13 columns]"],"text/html":["\n","  <div id=\"df-4011f8f0-bfe8-4fbd-8249-7b3b2841a9da\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>App</th>\n","      <th>Category</th>\n","      <th>Rating</th>\n","      <th>Reviews</th>\n","      <th>Size</th>\n","      <th>Installs</th>\n","      <th>Type</th>\n","      <th>Price</th>\n","      <th>Content Rating</th>\n","      <th>Genres</th>\n","      <th>Last Updated</th>\n","      <th>Current Ver</th>\n","      <th>Android Ver</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Photo Editor &amp; Candy Camera &amp; Grid &amp; ScrapBook</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>4.1</td>\n","      <td>159</td>\n","      <td>19M</td>\n","      <td>10000</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Everyone</td>\n","      <td>Art &amp; Design</td>\n","      <td>January 7 2018</td>\n","      <td>1.0.0</td>\n","      <td>4.0.3 and up</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>U Launcher Lite – FREE Live Cool Themes Hide Apps</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>4.7</td>\n","      <td>87510</td>\n","      <td>8.7M</td>\n","      <td>5000000</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>50000000</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>100000</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>5</th>\n","      <td>Paper flowers instructions</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>4.4</td>\n","      <td>167</td>\n","      <td>5.6M</td>\n","      <td>50000</td>\n","      <td>Free</td>\n","      <td>0</td>\n","      <td>Everyone</td>\n","      <td>Art &amp; Design</td>\n","      <td>March 26 2017</td>\n","      <td>1.0</td>\n","      <td>2.3 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>5000</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>1000</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>1000</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>10000000</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>9653 rows × 13 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4011f8f0-bfe8-4fbd-8249-7b3b2841a9da')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-4011f8f0-bfe8-4fbd-8249-7b3b2841a9da button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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column.\n","pd.DataFrame(playstore_df3['Category'].value_counts(ascending=True)).head(10)"],"metadata":{"id":"7vcF89Hh6XnO","colab":{"base_uri":"https://localhost:8080/","height":363},"executionInfo":{"status":"ok","timestamp":1667446360064,"user_tz":-330,"elapsed":48,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"e4f62bd1-1a14-4ca3-be0d-7152b27ce49f"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                    Category\n","1.9                        1\n","BEAUTY                    53\n","COMICS                    56\n","PARENTING                 60\n","ART_AND_DESIGN            61\n","EVENTS                    64\n","HOUSE_AND_HOME            73\n","WEATHER                   79\n","ENTERTAINMENT             79\n","LIBRARIES_AND_DEMO        84"],"text/html":["\n","  <div id=\"df-4d9842b1-c03e-458c-9b29-6ed2e70baf77\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n"," 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<tr>\n","      <th>WEATHER</th>\n","      <td>79</td>\n","    </tr>\n","    <tr>\n","      <th>ENTERTAINMENT</th>\n","      <td>79</td>\n","    </tr>\n","    <tr>\n","      <th>LIBRARIES_AND_DEMO</th>\n","      <td>84</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4d9842b1-c03e-458c-9b29-6ed2e70baf77')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":102}]},{"cell_type":"code","source":["#1.9 look like a outliner so checking data\n","playstore_df3[playstore_df3['Category'] == '1.9']"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":81},"id":"wbqHaV2B6XqX","executionInfo":{"status":"ok","timestamp":1667446360066,"user_tz":-330,"elapsed":48,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"f63f5900-badb-4262-d73a-1d2699d1811c"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                                           App Category  Rating Reviews  Size  \\\n","10472  Life Made WI-Fi Touchscreen Photo Frame      1.9    19.0    3.0M  1000   \n","\n","      Installs Type     Price Content Rating            Genres Last Updated  \\\n","10472     Free    0  Everyone            NaN  February 11 2018       1.0.19   \n","\n","      Current Ver Android Ver  \n","10472  4.0 and up         NaN  "],"text/html":["\n","  <div id=\"df-94de29bd-b531-4103-8a24-ebf3c5d8d336\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\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>1000</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>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-94de29bd-b531-4103-8a24-ebf3c5d8d336')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","    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'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-94de29bd-b531-4103-8a24-ebf3c5d8d336');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":103}]},{"cell_type":"code","source":["#data have entry mistake not matching parameters with other all data so deleting index 10472 from dataframe\n","#playstore_df3 = playstore_df3.drop(10472)"],"metadata":{"id":"49H8yJV961Rg"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["#by mistake dataentry is wrong,so will shift rows from category column and correct it\n","from copy import deepcopy\n","missing_entry = deepcopy(playstore_df3.loc[10472])\n","missing_entry[1:] = missing_entry[1:].shift(periods=1)\n","playstore_df3.loc[10472] = missing_entry\n","# remove the temporary variable\n","del missing_entry"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"8gd1gFxq61VK","executionInfo":{"status":"ok","timestamp":1667446363178,"user_tz":-330,"elapsed":17,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"84e716fe-1753-4ba3-bd9e-0eaf95950a8e"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.7/dist-packages/pandas/core/indexing.py:1797: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  self._setitem_single_column(loc, v, pi)\n"]}]},{"cell_type":"code","source":["#crosscheck data with google playstore and update category \n","playstore_df3.loc[10472, 'Category'] = 'LIFESTYLE'\n","playstore_df3.loc[10472]"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Qt5pMmBP61Y5","executionInfo":{"status":"ok","timestamp":1667446363179,"user_tz":-330,"elapsed":11,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"af94ec21-ccdc-46d4-a292-20fda3ea4982"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.7/dist-packages/pandas/core/indexing.py:1817: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  self._setitem_single_column(loc, value, pi)\n"]},{"output_type":"execute_result","data":{"text/plain":["App               Life Made WI-Fi Touchscreen Photo Frame\n","Category                                        LIFESTYLE\n","Rating                                                1.9\n","Reviews                                              19.0\n","Size                                                 3.0M\n","Installs                                             1000\n","Type                                                 Free\n","Price                                                   0\n","Content Rating                                   Everyone\n","Genres                                                NaN\n","Last Updated                             February 11 2018\n","Current Ver                                        1.0.19\n","Android Ver                                    4.0 and up\n","Name: 10472, dtype: object"]},"metadata":{},"execution_count":106}]},{"cell_type":"markdown","source":["### **Rating Column Operation**"],"metadata":{"id":"Xd5sYT-p7EL-"}},{"cell_type":"code","source":["playstore_df3['Rating'].unique()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"HLimfIhZ61bm","executionInfo":{"status":"ok","timestamp":1667446363904,"user_tz":-330,"elapsed":65,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"4a4d2235-623b-42f9-88b1-e4f7762dbf5a"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([4.1, 4.7, 4.5, 4.3, 4.4, 3.8, 4.2, 4.6, 3.2, 4.0, 4.8, 3.9, 4.9,\n","       3.6, 3.7, nan, 3.3, 3.4, 3.5, 3.1, 5.0, 2.5, 2.8, 3.0, 2.7, 1.0,\n","       1.9, 2.9, 2.6, 2.3, 2.2, 1.7, 2.0, 1.8, 2.4, 1.6, 2.1, 1.4, 1.5,\n","       1.2, '1.9'], dtype=object)"]},"metadata":{},"execution_count":107}]},{"cell_type":"code","source":["playstore_df3['Rating'].isnull().sum()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ou_BtKn_61ew","executionInfo":{"status":"ok","timestamp":1667446363905,"user_tz":-330,"elapsed":61,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"6f6819ad-3bea-42b8-935a-d4994855730b"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["1464"]},"metadata":{},"execution_count":108}]},{"cell_type":"code","source":["x=playstore_df3.Rating.median()\n","playstore_df3.Rating.fillna(x,inplace=True)\n","playstore_df3.isnull().sum()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"NBRSlwxK61iW","executionInfo":{"status":"ok","timestamp":1667446363908,"user_tz":-330,"elapsed":60,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"0cb9bd49-a1ea-4b35-b42b-25306a5f7205"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.7/dist-packages/pandas/core/generic.py:6392: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  return self._update_inplace(result)\n"]},{"output_type":"execute_result","data":{"text/plain":["App               0\n","Category          0\n","Rating            0\n","Reviews           0\n","Size              0\n","Installs          0\n","Type              1\n","Price             0\n","Content Rating    0\n","Genres            1\n","Last Updated      0\n","Current Ver       8\n","Android Ver       2\n","dtype: int64"]},"metadata":{},"execution_count":109}]},{"cell_type":"code","source":["#'1.9' to convert to datatype float64\n","\n","playstore_df3['Rating'] = playstore_df3['Rating'].astype('float64')\n","playstore_df3['Rating'].dtype"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7O092vTW21z8","executionInfo":{"status":"ok","timestamp":1667446363909,"user_tz":-330,"elapsed":57,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"f82c6949-858b-440a-f560-b69051e2be63"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  This is separate from the ipykernel package so we can avoid doing imports until\n"]},{"output_type":"execute_result","data":{"text/plain":["dtype('float64')"]},"metadata":{},"execution_count":110}]},{"cell_type":"code","source":["playstore_df3['Rating'].unique()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"RF5FjV8z2122","executionInfo":{"status":"ok","timestamp":1667446363910,"user_tz":-330,"elapsed":54,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"c5d94c7d-0209-4245-e74d-44a92744e2b0"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([4.1, 4.7, 4.5, 4.3, 4.4, 3.8, 4.2, 4.6, 3.2, 4. , 4.8, 3.9, 4.9,\n","       3.6, 3.7, 3.3, 3.4, 3.5, 3.1, 5. , 2.5, 2.8, 3. , 2.7, 1. , 1.9,\n","       2.9, 2.6, 2.3, 2.2, 1.7, 2. , 1.8, 2.4, 1.6, 2.1, 1.4, 1.5, 1.2])"]},"metadata":{},"execution_count":111}]},{"cell_type":"markdown","source":["### ***Reviews Column Operation***"],"metadata":{"id":"DjOqCxTu7Uqu"}},{"cell_type":"code","source":["#Find Unique Values From Reviews Columns\n","playstore_df3['Reviews'].unique()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"yd8hroII7SjF","executionInfo":{"status":"ok","timestamp":1667446363911,"user_tz":-330,"elapsed":46,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"ef9e767a-c1bc-47e1-ad3e-24de549324c7"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array(['159', '87510', '215644', ..., '603', '1195', '398307'],\n","      dtype=object)"]},"metadata":{},"execution_count":112}]},{"cell_type":"code","source":["playstore_df3['Reviews'] = playstore_df3['Reviews'].astype('int')\n","playstore_df3['Reviews'].dtype"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"LYIZ92Rt7Srv","executionInfo":{"status":"ok","timestamp":1667446363912,"user_tz":-330,"elapsed":44,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"7cfc5e30-3e8c-4856-b386-a118303908ee"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  \"\"\"Entry point for launching an IPython kernel.\n"]},{"output_type":"execute_result","data":{"text/plain":["dtype('int64')"]},"metadata":{},"execution_count":113}]},{"cell_type":"code","source":["playstore_df3.info()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"jgtzddp87Su9","executionInfo":{"status":"ok","timestamp":1667446363913,"user_tz":-330,"elapsed":42,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"26ff2dc8-0c00-435a-a99e-c96f477bad87"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","Int64Index: 9653 entries, 0 to 10840\n","Data columns (total 13 columns):\n"," #   Column          Non-Null Count  Dtype  \n","---  ------          --------------  -----  \n"," 0   App             9653 non-null   object \n"," 1   Category        9653 non-null   object \n"," 2   Rating          9653 non-null   float64\n"," 3   Reviews         9653 non-null   int64  \n"," 4   Size            9653 non-null   object \n"," 5   Installs        9653 non-null   object \n"," 6   Type            9652 non-null   object \n"," 7   Price           9653 non-null   object \n"," 8   Content Rating  9653 non-null   object \n"," 9   Genres          9652 non-null   object \n"," 10  Last Updated    9653 non-null   object \n"," 11  Current Ver     9645 non-null   object \n"," 12  Android Ver     9651 non-null   object \n","dtypes: float64(1), int64(1), object(11)\n","memory usage: 1.3+ MB\n"]}]},{"cell_type":"markdown","source":["### ***Installs Column Operation***"],"metadata":{"id":"X6_Oxchg7kS-"}},{"cell_type":"code","source":["playstore_df3['Installs']=playstore_df3['Installs'].astype('int')\n","playstore_df3['Installs'].isnull().sum()\n","playstore_df3.info()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"bJsx5BL97SyE","executionInfo":{"status":"ok","timestamp":1667446363914,"user_tz":-330,"elapsed":35,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"f3d322ae-ada1-4528-bbad-66ccc63f1265"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","Int64Index: 9653 entries, 0 to 10840\n","Data columns (total 13 columns):\n"," #   Column          Non-Null Count  Dtype  \n","---  ------          --------------  -----  \n"," 0   App             9653 non-null   object \n"," 1   Category        9653 non-null   object \n"," 2   Rating          9653 non-null   float64\n"," 3   Reviews         9653 non-null   int64  \n"," 4   Size            9653 non-null   object \n"," 5   Installs        9653 non-null   int64  \n"," 6   Type            9652 non-null   object \n"," 7   Price           9653 non-null   object \n"," 8   Content Rating  9653 non-null   object \n"," 9   Genres          9652 non-null   object \n"," 10  Last Updated    9653 non-null   object \n"," 11  Current Ver     9645 non-null   object \n"," 12  Android Ver     9651 non-null   object \n","dtypes: float64(1), int64(2), object(10)\n","memory usage: 1.3+ MB\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  \"\"\"Entry point for launching an IPython kernel.\n"]}]},{"cell_type":"markdown","source":["### ***Type Column Operation***"],"metadata":{"id":"4vXXTK1C7rAh"}},{"cell_type":"code","source":["playstore_df3['Type'].unique() #Find Unique Values From Type Columns"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"X3DyOya_7S1k","executionInfo":{"status":"ok","timestamp":1667446363914,"user_tz":-330,"elapsed":31,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"8750275f-41a0-44f4-de77-ebde3e593beb"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array(['Free', 'Paid', nan], dtype=object)"]},"metadata":{},"execution_count":116}]},{"cell_type":"code","source":["playstore_df3[playstore_df3.Type.isnull()] #finding NaN data row"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":81},"id":"lVwcy4Oq7S4u","executionInfo":{"status":"ok","timestamp":1667446363915,"user_tz":-330,"elapsed":28,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"290d35c3-02e3-4bae-9b95-c61f954898fc"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                            App Category  Rating  Reviews                Size  \\\n","9148  Command & Conquer: Rivals   FAMILY     4.3        0  Varies with device   \n","\n","      Installs Type Price Content Rating    Genres  Last Updated  \\\n","9148         0  NaN     0    Everyone 10  Strategy  June 28 2018   \n","\n","             Current Ver         Android Ver  \n","9148  Varies with device  Varies with device  "],"text/html":["\n","  <div id=\"df-a9dc922b-c673-491e-83b5-20b355a3b75a\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody 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Khan","userId":"16992096858502797395"}},"outputId":"c5b32577-7b60-44d9-891e-6f6d1e4d8106"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.7/dist-packages/pandas/core/indexing.py:1817: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  self._setitem_single_column(loc, value, pi)\n"]},{"output_type":"execute_result","data":{"text/plain":["App               Command & Conquer: Rivals\n","Category                             FAMILY\n","Rating                                  4.3\n","Reviews                                   0\n","Size                     Varies with device\n","Installs                                  0\n","Type                                   Free\n","Price                                     0\n","Content Rating                  Everyone 10\n","Genres                             Strategy\n","Last Updated                   June 28 2018\n","Current Ver              Varies with device\n","Android Ver              Varies with device\n","Name: 9148, dtype: object"]},"metadata":{},"execution_count":118}]},{"cell_type":"code","source":["playstore_df3['Type'].unique() #Find Unique Values From Type Columns"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"UAzrYKGB7ytA","executionInfo":{"status":"ok","timestamp":1667446364408,"user_tz":-330,"elapsed":13,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"9b819ee7-fa08-45e5-e0e1-b44c2d18e154"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array(['Free', 'Paid'], dtype=object)"]},"metadata":{},"execution_count":119}]},{"cell_type":"markdown","source":["### ***Size Columns Operation***"],"metadata":{"id":"xUVrivFN8Qav"}},{"cell_type":"code","source":["playstore_df3['Size'].unique()  #Find Unique Values From Size Columns"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"QNkCl-W27ywU","executionInfo":{"status":"ok","timestamp":1667446364411,"user_tz":-330,"elapsed":13,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"d5a4d6a1-33f9-432a-dde9-ae85264a5453"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array(['19M', '8.7M', '25M', '2.8M', '5.6M', '29M', '33M', '3.1M', '28M',\n","       '12M', '20M', '21M', '37M', '2.7M', '5.5M', '17M', '39M', '31M',\n","       '14M', '4.2M', '23M', '6.0M', '6.1M', '4.6M', '9.2M', '5.2M',\n","       '11M', 'Varies with device', '9.4M', '15M', '10M', '1.2M', '24M',\n","       '26M', '8.0M', '7.9M', '56M', '57M', '35M', '54M', '201k', '3.6M',\n","       '5.7M', '8.6M', '2.4M', '27M', '2.5M', '7.0M', '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', '8.4M', '118k', '44M', '695k', '1.6M', '18k', '53M',\n","       '6.2M', '3.0M', '5.8M', '3.8M', '9.6M', '45M', '63M', '49M', '77M',\n","       '4.4M', '4.8M', '70M', '6.9M', '9.3M', '10.0M', '8.1M', '36M',\n","       '84M', '97M', '2.0M', '1.9M', '5.3M', '47M', '556k', '526k', '76M',\n","       '1.8M', '7.6M', '9.7M', '78M', '72M', '43M', '7.7M', '6.3M',\n","       '334k', '1.4M', '34M', '93M', '65M', '100M', '50M', '68M', '79M',\n","       '64M', '67M', '60M', '59M', '94M', '58M', '232k', '99M', '624k',\n","       '95M', '8.5k', '41k', '292k', '11k', '80M', '1.7M', '69M', '71M',\n","       '62M', '98M', '85M', '86M', '82M', '81M', '96M', '91M', '83M',\n","       '87M', '66M', '75M', '92M', '704k', '862k', '899k', '378k', '266k',\n","       '375k', '74M', '1.3M', '975k', '980k', '4.1M', '89M', '88M',\n","       '696k', '544k', '525k', '920k', '779k', '853k', '720k', '713k',\n","       '772k', '318k', '58k', '241k', '196k', '857k', '51k', '953k',\n","       '865k', '251k', '930k', '540k', '313k', '746k', '203k', '26k',\n","       '314k', '79k', '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)"]},"metadata":{},"execution_count":120}]},{"cell_type":"code","source":["#Convert all size to KB so Each M have to Multiply with 1024\n","#Removing \"M\", Changing Size To KB\n","playstore_df3['Size'] = playstore_df3['Size'].map(\n","    lambda value :\n","        str(int(float(value.rstrip('M')) * 1024)) if value[-1] == 'M' else value\n",")\n","\n","# Removing \"k\"\n","playstore_df3['Size'] = playstore_df3['Size'].map(\n","    lambda value :\n","        str(value.rstrip('k')) if value[-1] == 'k' else value\n",")\n","\n","# Setting \"Varies with device\" to NaN\n","playstore_df3['Size'] = playstore_df3['Size'].map(\n","    lambda value :\n","        np.nan if value == 'Varies with device' else value\n",")\n"],"metadata":{"id":"AL3KuHkk7y0N"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["playstore_df3[\"Size\"].unique()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ZxfKthhU8Yx-","executionInfo":{"status":"ok","timestamp":1667446365260,"user_tz":-330,"elapsed":25,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"6b338454-23f7-425e-b086-6d66eba31a93"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array(['19456', '8908', '25600', '2867', '5734', '29696', '33792', '3174',\n","       '28672', '12288', '20480', '21504', '37888', '2764', '5632',\n","       '17408', '39936', '31744', '14336', '4300', '23552', '6144',\n","       '6246', '4710', '9420', '5324', '11264', nan, '9625', '15360',\n","       '10240', '1228', '24576', '26624', '8192', '8089', '57344',\n","       '58368', '35840', '55296', '201', '3686', '5836', '8806', '2457',\n","       '27648', '2560', '7168', '16384', '3481', '9113', '3993', '2969',\n","       '38912', '32768', '5529', '18432', '1126', '2252', '4608', '10035',\n","       '53248', '9216', '6860', '30720', '2662', '7270', '3788', '22528',\n","       '7577', '6553', '3276', '8396', '10137', '5017', '9728', '5120',\n","       '6041', '13312', '74752', '6963', '3584', '4096', '2355', '7372',\n","       '2150', '43008', '7475', '9318', '56320', '23', '6656', '1536',\n","       '7680', '52224', '41984', '49152', '8704', '47104', '8499', '4403',\n","       '4812', '3379', '40960', '7987', '9011', '6758', '5222', '62464',\n","       '8601', '118', '45056', '695', '1638', '18', '54272', '6348',\n","       '3072', '5939', '3891', '9830', '46080', '64512', '50176', '78848',\n","       '4505', '4915', '71680', '7065', '9523', '8294', '36864', '86016',\n","       '99328', '2048', '1945', '5427', '48128', '556', '526', '77824',\n","       '1843', '7782', '9932', '79872', '73728', '44032', '7884', '6451',\n","       '334', '1433', '34816', '95232', '66560', '102400', '51200',\n","       '69632', '80896', '65536', '68608', '61440', '60416', '96256',\n","       '59392', '232', '101376', '624', '97280', '8.5', '41', '292', '11',\n","       '81920', '1740', '70656', '72704', '63488', '100352', '87040',\n","       '88064', '83968', '82944', '98304', '93184', '84992', '89088',\n","       '67584', '76800', '94208', '704', '862', '899', '378', '266',\n","       '375', '75776', '1331', '975', '980', '4198', '91136', '90112',\n","       '696', '544', '525', '920', '779', '853', '720', '713', '772',\n","       '318', '58', '241', '196', '857', '51', '953', '865', '251', '930',\n","       '540', '313', '746', '203', '26', '314', '79', '239', '371', '220',\n","       '730', '756', '91', '293', '17', '74', '14', '317', '78', '924',\n","       '902', '818', '81', '939', '169', '45', '475', '965', '92160',\n","       '545', '61', '283', '655', '714', '93', '872', '121', '322',\n","       '1024', '976', '172', '238', '549', '206', '954', '444', '717',\n","       '210', '609', '308', '705', '306', '904', '473', '175', '350',\n","       '383', '454', '421', '70', '812', '442', '842', '417', '412',\n","       '459', '478', '335', '782', '721', '430', '429', '192', '200',\n","       '460', '728', '496', '816', '414', '506', '887', '613', '243',\n","       '569', '778', '683', '592', '319', '186', '840', '647', '191',\n","       '373', '437', '598', '716', '585', '982', '222', '219', '55',\n","       '948', '323', '691', '511', '951', '963', '25', '554', '351', '27',\n","       '82', '208', '913', '514', '551', '29', '103', '898', '743', '116',\n","       '153', '209', '353', '499', '173', '597', '809', '122', '411',\n","       '400', '801', '787', '237', '50', '643', '986', '97', '516', '837',\n","       '780', '961', '269', '20', '498', '600', '749', '642', '881', '72',\n","       '656', '601', '221', '228', '108', '940', '176', '33', '663', '34',\n","       '942', '259', '164', '458', '245', '629', '28', '288', '775',\n","       '785', '636', '916', '994', '309', '485', '914', '903', '608',\n","       '500', '54', '562', '847', '957', '688', '811', '270', '48', '329',\n","       '523', '921', '874', '981', '784', '280', '24', '518', '754',\n","       '892', '154', '860', '364', '387', '626', '161', '879', '39',\n","       '970', '170', '141', '160', '144', '143', '190', '376', '193',\n","       '246', '73', '658', '992', '253', '420', '404', '470', '226',\n","       '240', '89', '234', '257', '861', '467', '157', '44', '676', '67',\n","       '552', '885', '1020', '582', '619'], dtype=object)"]},"metadata":{},"execution_count":122}]},{"cell_type":"code","source":["playstore_df3['Size']=playstore_df3['Size'].astype('float') "],"metadata":{"id":"g-3DGnyf8Y3Z"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["playstore_df3['Size'].replace([np.nan], playstore_df3['Size'].median(), inplace=True)"],"metadata":{"id":"N_ajbEO58Y7E"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["playstore_df3['Size'].isnull().sum()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"TxJLuV0F8Y_5","executionInfo":{"status":"ok","timestamp":1667446365764,"user_tz":-330,"elapsed":11,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"2e98ef88-9108-4a38-94e6-0410f8ddc80f"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0"]},"metadata":{},"execution_count":125}]},{"cell_type":"markdown","source":["### ***Price Columns Operation***"],"metadata":{"id":"3EfCcGhA8mrn"}},{"cell_type":"code","source":["playstore_df3['Price'].unique()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"1RhgvNdc8ZCk","executionInfo":{"status":"ok","timestamp":1667446366209,"user_tz":-330,"elapsed":5,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"e9f90304-ec34-41a5-f1c3-156ebac22dff"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array(['0', '4.99', '3.99', '1.49', '2.99', '7.99', '3.49', '1.99',\n","       '5.99', '6.99', '9.99', '7.49', '0.99', '9.00', '5.49', '10.00',\n","       '11.99', '79.99', '16.99', '14.99', '1.00', '29.99', '2.49',\n","       '24.99', '10.99', '1.50', '19.99', '15.99', '33.99', '74.99',\n","       '39.99', '4.49', '1.70', '8.99', '2.00', '3.88', '25.99', '399.99',\n","       '17.99', '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', '14.00',\n","       '4.85', '46.99', '109.99', '3.95', '154.99', '3.08', '2.59',\n","       '4.80', '1.96', '19.40', '3.90', '4.59', '15.46', '3.04', '12.99',\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)"]},"metadata":{},"execution_count":126}]},{"cell_type":"code","source":["playstore_df3['Price'] = playstore_df3['Price'].astype('float64')\n","playstore_df2['Price'].dtype"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"HRzgOfAF8ZGX","executionInfo":{"status":"ok","timestamp":1667446366890,"user_tz":-330,"elapsed":20,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"e13e50d6-5e52-4132-a25a-849341390c97"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  \"\"\"Entry point for launching an IPython kernel.\n"]},{"output_type":"execute_result","data":{"text/plain":["dtype('O')"]},"metadata":{},"execution_count":127}]},{"cell_type":"code","source":["playstore_df3['Price'] = playstore_df3['Price'].apply(pd.to_numeric, errors='coerce')\n","playstore_df2['Price'].dtype"],"metadata":{"id":"gCl6x8bp8ZKK"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### ***Content Rating Column Operation***\n"],"metadata":{"id":"aXHVCTxQ8yc9"}},{"cell_type":"code","source":["playstore_df3['Content Rating'].value_counts()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"CeyOYMcP7S8D","executionInfo":{"status":"ok","timestamp":1667446367462,"user_tz":-330,"elapsed":11,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"56f779a3-58e2-4223-a577-66606666e149"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Everyone          7899\n","Teen              1035\n","Mature 17          392\n","Everyone 10        322\n","Adults only 18       3\n","Unrated              2\n","Name: Content Rating, dtype: int64"]},"metadata":{},"execution_count":129}]},{"cell_type":"code","source":["playstore_df3[playstore_df3['Content Rating'] == 'Unrated']"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":112},"id":"uE-TSj6J82hl","executionInfo":{"status":"ok","timestamp":1667446368014,"user_tz":-330,"elapsed":17,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"9c12eee6-86ba-4907-c73a-47df5f0c2f7b"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                         App Category  Rating  Reviews    Size  Installs  \\\n","7312     Best CG Photography   FAMILY     4.3        1  2560.0       500   \n","8266  DC Universe Online Map    TOOLS     4.1     1186  6553.0     50000   \n","\n","      Type  Price Content Rating         Genres      Last Updated Current Ver  \\\n","7312  Free    0.0        Unrated  Entertainment      June 24 2015         5.2   \n","8266  Free    0.0        Unrated          Tools  February 27 2012         1.3   \n","\n","       Android Ver  \n","7312    3.0 and up  \n","8266  2.3.3 and up  "],"text/html":["\n","  <div id=\"df-c4424d3e-ca6b-46cd-8ef2-3ce97afff535\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\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>7312</th>\n","      <td>Best CG Photography</td>\n","      <td>FAMILY</td>\n","      <td>4.3</td>\n","      <td>1</td>\n","      <td>2560.0</td>\n","      <td>500</td>\n","      <td>Free</td>\n","      <td>0.0</td>\n","      <td>Unrated</td>\n","      <td>Entertainment</td>\n","      <td>June 24 2015</td>\n","      <td>5.2</td>\n","      <td>3.0 and up</td>\n","    </tr>\n","    <tr>\n","      <th>8266</th>\n","      <td>DC Universe Online Map</td>\n","      <td>TOOLS</td>\n","      <td>4.1</td>\n","      <td>1186</td>\n","      <td>6553.0</td>\n","      <td>50000</td>\n","      <td>Free</td>\n","      <td>0.0</td>\n","      <td>Unrated</td>\n","      <td>Tools</td>\n","      <td>February 27 2012</td>\n","      <td>1.3</td>\n","      <td>2.3.3 and up</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c4424d3e-ca6b-46cd-8ef2-3ce97afff535')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","             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'block' : 'none';\n","\n","        async function convertToInteractive(key) {\n","          const element = document.querySelector('#df-c4424d3e-ca6b-46cd-8ef2-3ce97afff535');\n","          const dataTable =\n","            await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                     [key], {});\n","          if (!dataTable) return;\n","\n","          const docLinkHtml = 'Like what you see? Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "]},"metadata":{},"execution_count":130}]},{"cell_type":"code","source":["playstore_df3['Content Rating'].isnull().sum()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ot2cOFGo82uP","executionInfo":{"status":"ok","timestamp":1667446368014,"user_tz":-330,"elapsed":15,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"7a5b8f3f-57d2-41fd-fd6c-daf751a7d650"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0"]},"metadata":{},"execution_count":131}]},{"cell_type":"markdown","source":["### ***Android Ver Column Operation***"],"metadata":{"id":"iBwqdV1j8_4M"}},{"cell_type":"code","source":["count_AndroidVer=pd.value_counts(playstore_df3[\"Android Ver\"], sort=True)\n","count_AndroidVer"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"p-DskjRL82x4","executionInfo":{"status":"ok","timestamp":1667446368537,"user_tz":-330,"elapsed":5,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"319df7e8-dc8d-498e-95f8-f404d277fef4"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["4.1 and up            2203\n","4.0.3 and up          1394\n","4.0 and up            1286\n","Varies with device     989\n","4.4 and up             818\n","2.3 and up             614\n","5.0 and up             511\n","4.2 and up             371\n","2.3.3 and up           273\n","2.2 and up             239\n","3.0 and up             229\n","4.3 and up             221\n","2.1 and up             133\n","1.6 and up             116\n","6.0 and up              54\n","7.0 and up              42\n","3.2 and up              36\n","2.0 and up              32\n","5.1 and up              22\n","1.5 and up              20\n","4.4W and up             11\n","3.1 and up              10\n","2.0.1 and up             7\n","8.0 and up               6\n","7.1 and up               3\n","4.0.3 - 7.1.1            2\n","5.0 - 8.0                2\n","1.0 and up               2\n","7.0 - 7.1.1              1\n","4.1 - 7.1.1              1\n","5.0 - 6.0                1\n","2.2 - 7.1.1              1\n","5.0 - 7.1.1              1\n","Name: Android Ver, dtype: int64"]},"metadata":{},"execution_count":132}]},{"cell_type":"markdown","source":["### **Last Updated Column Operation**"],"metadata":{"id":"Q_ZY4GC69Ir1"}},{"cell_type":"code","source":["playstore_df3['Last Updated'] = pd.to_datetime(playstore_df3['Last Updated'])\n","playstore_df3['Last Updated']"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"e1ny67BA820y","executionInfo":{"status":"ok","timestamp":1667446369114,"user_tz":-330,"elapsed":15,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"1eda2ea5-928c-4d42-8702-27df0d5f00e7"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n","A value is trying to be set on a copy of a slice from a DataFrame.\n","Try using .loc[row_indexer,col_indexer] = value instead\n","\n","See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n","  \"\"\"Entry point for launching an IPython kernel.\n"]},{"output_type":"execute_result","data":{"text/plain":["0       2018-01-07\n","2       2018-08-01\n","3       2018-06-08\n","4       2018-06-20\n","5       2017-03-26\n","           ...    \n","10836   2017-07-25\n","10837   2018-07-06\n","10838   2017-01-20\n","10839   2015-01-19\n","10840   2018-07-25\n","Name: Last Updated, Length: 9653, dtype: datetime64[ns]"]},"metadata":{},"execution_count":133}]},{"cell_type":"code","source":["playstore_df3['LastUpdated_Day']=playstore_df3['Last Updated'].dt.day\n","playstore_df3['LastUpdated_Month']=playstore_df3['Last Updated'].dt.month\n","playstore_df3['LastUpdated_Year']=playstore_df3['Last Updated'].dt.year"],"metadata":{"id":"9FIGU78e823x"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["playstore_df3.info()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"L94qUBij827v","executionInfo":{"status":"ok","timestamp":1667446369841,"user_tz":-330,"elapsed":9,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"2fdff0ff-9de9-4c1c-8d1e-731f53773faf"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","Int64Index: 9653 entries, 0 to 10840\n","Data columns (total 16 columns):\n"," #   Column             Non-Null Count  Dtype         \n","---  ------             --------------  -----         \n"," 0   App                9653 non-null   object        \n"," 1   Category           9653 non-null   object        \n"," 2   Rating             9653 non-null   float64       \n"," 3   Reviews            9653 non-null   int64         \n"," 4   Size               9653 non-null   float64       \n"," 5   Installs           9653 non-null   int64         \n"," 6   Type               9653 non-null   object        \n"," 7   Price              9653 non-null   float64       \n"," 8   Content Rating     9653 non-null   object        \n"," 9   Genres             9652 non-null   object        \n"," 10  Last Updated       9653 non-null   datetime64[ns]\n"," 11  Current Ver        9645 non-null   object        \n"," 12  Android Ver        9651 non-null   object        \n"," 13  LastUpdated_Day    9653 non-null   int64         \n"," 14  LastUpdated_Month  9653 non-null   int64         \n"," 15  LastUpdated_Year   9653 non-null   int64         \n","dtypes: datetime64[ns](1), float64(3), int64(5), object(7)\n","memory usage: 1.5+ MB\n"]}]},{"cell_type":"markdown","source":["## ***Seperate Numerical And Categorical Data*** "],"metadata":{"id":"ZqBA1O7S9YaK"}},{"cell_type":"code","source":["num_dataf=[col for col in playstore_df3.columns if playstore_df3[col].dtype!='O']\n","num_dataf"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"YGz5i3dj9VsX","executionInfo":{"status":"ok","timestamp":1667446370443,"user_tz":-330,"elapsed":54,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"c49a5aa6-0bac-4dec-e136-9d280036333f"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["['Rating',\n"," 'Reviews',\n"," 'Size',\n"," 'Installs',\n"," 'Price',\n"," 'Last Updated',\n"," 'LastUpdated_Day',\n"," 'LastUpdated_Month',\n"," 'LastUpdated_Year']"]},"metadata":{},"execution_count":136}]},{"cell_type":"code","source":["num_data=playstore_df3[num_dataf]\n","num_data"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":423},"id":"GLttOBMk7TAH","executionInfo":{"status":"ok","timestamp":1667446370445,"user_tz":-330,"elapsed":49,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"8bcb6bee-cffa-474f-815b-7c638c5b0d82"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["       Rating  Reviews     Size  Installs  Price Last Updated  \\\n","0         4.1      159  19456.0     10000    0.0   2018-01-07   \n","2         4.7    87510   8908.0   5000000    0.0   2018-08-01   \n","3         4.5   215644  25600.0  50000000    0.0   2018-06-08   \n","4         4.3      967   2867.0    100000    0.0   2018-06-20   \n","5         4.4      167   5734.0     50000    0.0   2017-03-26   \n","...       ...      ...      ...       ...    ...          ...   \n","10836     4.5       38  54272.0      5000    0.0   2017-07-25   \n","10837     5.0        4   3686.0       100    0.0   2018-07-06   \n","10838     4.3        3   9728.0      1000    0.0   2017-01-20   \n","10839     4.5      114  12288.0      1000    0.0   2015-01-19   \n","10840     4.5   398307  19456.0  10000000    0.0   2018-07-25   \n","\n","       LastUpdated_Day  LastUpdated_Month  LastUpdated_Year  \n","0                    7                  1              2018  \n","2                    1                  8              2018  \n","3                    8                  6              2018  \n","4                   20                  6              2018  \n","5                   26                  3              2017  \n","...                ...                ...               ...  \n","10836               25                  7              2017  \n","10837                6                  7              2018  \n","10838               20                  1              2017  \n","10839               19                  1              2015  \n","10840               25                  7              2018  \n","\n","[9653 rows x 9 columns]"],"text/html":["\n","  <div id=\"df-eef306de-98fd-47c5-99f3-f64622b8ec51\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\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","      <th>Reviews</th>\n","      <th>Size</th>\n","      <th>Installs</th>\n","      <th>Price</th>\n","      <th>Last Updated</th>\n","      <th>LastUpdated_Day</th>\n","      <th>LastUpdated_Month</th>\n","      <th>LastUpdated_Year</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>4.1</td>\n","      <td>159</td>\n","      <td>19456.0</td>\n","      <td>10000</td>\n","      <td>0.0</td>\n","      <td>2018-01-07</td>\n","      <td>7</td>\n","      <td>1</td>\n","      <td>2018</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>4.7</td>\n","      <td>87510</td>\n","      <td>8908.0</td>\n","      <td>5000000</td>\n","      <td>0.0</td>\n","      <td>2018-08-01</td>\n","      <td>1</td>\n","      <td>8</td>\n","      <td>2018</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4.5</td>\n","      <td>215644</td>\n","      <td>25600.0</td>\n","      <td>50000000</td>\n","      <td>0.0</td>\n","      <td>2018-06-08</td>\n","      <td>8</td>\n","      <td>6</td>\n","      <td>2018</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4.3</td>\n","      <td>967</td>\n","      <td>2867.0</td>\n","      <td>100000</td>\n","      <td>0.0</td>\n","      <td>2018-06-20</td>\n","      <td>20</td>\n","      <td>6</td>\n","      <td>2018</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>4.4</td>\n","      <td>167</td>\n","      <td>5734.0</td>\n","      <td>50000</td>\n","      <td>0.0</td>\n","      <td>2017-03-26</td>\n","      <td>26</td>\n","      <td>3</td>\n","      <td>2017</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","    </tr>\n","    <tr>\n","      <th>10836</th>\n","      <td>4.5</td>\n","      <td>38</td>\n","      <td>54272.0</td>\n","      <td>5000</td>\n","      <td>0.0</td>\n","      <td>2017-07-25</td>\n","      <td>25</td>\n","      <td>7</td>\n","      <td>2017</td>\n","    </tr>\n","    <tr>\n","      <th>10837</th>\n","      <td>5.0</td>\n","      <td>4</td>\n","      <td>3686.0</td>\n","      <td>100</td>\n","      <td>0.0</td>\n","      <td>2018-07-06</td>\n","      <td>6</td>\n","      <td>7</td>\n","      <td>2018</td>\n","    </tr>\n","    <tr>\n","      <th>10838</th>\n","      <td>4.3</td>\n","      <td>3</td>\n","      <td>9728.0</td>\n","      <td>1000</td>\n","      <td>0.0</td>\n","      <td>2017-01-20</td>\n","      <td>20</td>\n","      <td>1</td>\n","      <td>2017</td>\n","    </tr>\n","    <tr>\n","      <th>10839</th>\n","      <td>4.5</td>\n","      <td>114</td>\n","      <td>12288.0</td>\n","      <td>1000</td>\n","      <td>0.0</td>\n","      <td>2015-01-19</td>\n","      <td>19</td>\n","      <td>1</td>\n","      <td>2015</td>\n","    </tr>\n","    <tr>\n","      <th>10840</th>\n","      <td>4.5</td>\n","      <td>398307</td>\n","      <td>19456.0</td>\n","      <td>10000000</td>\n","      <td>0.0</td>\n","      <td>2018-07-25</td>\n","      <td>25</td>\n","      <td>7</td>\n","      <td>2018</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>9653 rows × 9 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-eef306de-98fd-47c5-99f3-f64622b8ec51')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 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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","       Type Content Rating                   Genres         Current Ver  \\\n","0      Free       Everyone             Art & Design               1.0.0   \n","2      Free       Everyone             Art & Design               1.2.4   \n","3      Free           Teen             Art & Design  Varies with device   \n","4      Free       Everyone  Art & Design;Creativity                 1.1   \n","5      Free       Everyone             Art & Design                 1.0   \n","...     ...            ...                      ...                 ...   \n","10836  Free       Everyone                Education                1.48   \n","10837  Free       Everyone                Education                 1.0   \n","10838  Free       Everyone                  Medical                 1.0   \n","10839  Free      Mature 17        Books & Reference  Varies with device   \n","10840  Free       Everyone                Lifestyle  Varies with device   \n","\n","              Android Ver  \n","0            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","5              2.3 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","[9653 rows x 7 columns]"],"text/html":["\n","  <div id=\"df-7307d9a8-7a01-4764-a856-f9adb2a3ae82\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\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>Type</th>\n","      <th>Content Rating</th>\n","      <th>Genres</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>Free</td>\n","      <td>Everyone</td>\n","      <td>Art &amp; Design</td>\n","      <td>1.0.0</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 Apps</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>Free</td>\n","      <td>Everyone</td>\n","      <td>Art &amp; Design</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>Free</td>\n","      <td>Teen</td>\n","      <td>Art &amp; Design</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>Free</td>\n","      <td>Everyone</td>\n","      <td>Art &amp; Design;Creativity</td>\n","      <td>1.1</td>\n","      <td>4.4 and up</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Paper flowers instructions</td>\n","      <td>ART_AND_DESIGN</td>\n","      <td>Free</td>\n","      <td>Everyone</td>\n","      <td>Art &amp; Design</td>\n","      <td>1.0</td>\n","      <td>2.3 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","    </tr>\n","    <tr>\n","      <th>10836</th>\n","      <td>Sya9a Maroc - FR</td>\n","      <td>FAMILY</td>\n","      <td>Free</td>\n","      <td>Everyone</td>\n","      <td>Education</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>Free</td>\n","      <td>Everyone</td>\n","      <td>Education</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>Free</td>\n","      <td>Everyone</td>\n","      <td>Medical</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>Free</td>\n","      <td>Mature 17</td>\n","      <td>Books &amp; Reference</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>Free</td>\n","      <td>Everyone</td>\n","      <td>Lifestyle</td>\n","      <td>Varies with device</td>\n","      <td>Varies with device</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>9653 rows × 7 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7307d9a8-7a01-4764-a856-f9adb2a3ae82')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n","  </svg>\n","      </button>\n","      \n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      flex-wrap:wrap;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","      <script>\n","        const buttonEl =\n","          document.querySelector('#df-7307d9a8-7a01-4764-a856-f9adb2a3ae82 button.colab-df-convert');\n","        buttonEl.style.display =\n","          google.colab.kernel.accessAllowed ? 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Now, it's time to make a plot a graph and made such usefull analyses and take out some usefull information**"],"metadata":{"id":"Aj6iGcX2-6gH"}},{"cell_type":"markdown","source":["#**Let's Solve Some *Problem* Statements**"],"metadata":{"id":"L5MRT3j_j3gV"}},{"cell_type":"markdown","source":["|**Problem 1:**| How many Android Version Supported Apps Across the Whole Database ?\n","\n","|**Problem 2:**| What are the top most competing catagories in playstore ?\n","\n","|**Problem 3:**| What is the Paid and Free apps ratio from all apps ?\n","\n","|**Problem 4:**| What are the updatation details of apps by year ?\n","\n","|**Problem 5:**| How the App pricing trend across popular categories ?\n","\n","|**Problem 6:**| What are the Sentiment Data Across the All Reviews ?\n","\n","|**Problem 7:**| Is there any correlation between Sentiment polarity/Sentiment subjectivity with Installs/Rating/Reviews/Size/Price/LastUpdated_Day/LastUpdated_Month/LastUpdated_Year ?\n","\n"],"metadata":{"id":"oqBhzsVRnwA9"}},{"cell_type":"markdown","source":["##**Problem 1:** ***How many Android Version Supported Apps Across the Whole Database ?***"],"metadata":{"id":"XERHok4C_n3L"}},{"cell_type":"code","source":["plt.figure(figsize=(15,10))\n","count_AndroidVer.plot(kind = 'pie',  autopct='%1.02f%%', shadow=True)\n","plt.title('Android Version Supported Apps',size=20)\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":596},"id":"YVGwmjEE7TFu","executionInfo":{"status":"ok","timestamp":1667446374587,"user_tz":-330,"elapsed":1643,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"1b778073-3cc8-4877-b3a2-b6516bd5602f"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1080x720 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["**Summary-1:** After identify total distibutation percentage on data,given details of more app supported Android OS versions.Basically android 4.0 and above version suppoeted app ratio is very higher and more then 60% app's support only on android 4.0 and above version"],"metadata":{"id":"0fjuEffv-H9o"}},{"cell_type":"markdown","source":["##**Problem 2: What are the top most competing catagories in playstore ?**"],"metadata":{"id":"nJf7xFjDBUMb"}},{"cell_type":"code","source":["plt.figure(figsize=(15,10))\n","\n","y = playstore_df3['Category'].value_counts().index\n","x = playstore_df3['Category'].value_counts()\n","plt.xlabel(\"Count\")\n","plt.ylabel(\"Category\")\n","graph = sns.barplot(x, y)\n","graph.set_title(\"Top categories on Playstore\", fontsize = 20);"],"metadata":{"id":"HGZ6VxTQ93ST","colab":{"base_uri":"https://localhost:8080/","height":684},"executionInfo":{"status":"ok","timestamp":1667446374589,"user_tz":-330,"elapsed":25,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"03dbd962-8b0c-4503-fae8-fda352c44ff1"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n","  FutureWarning\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1080x720 with 1 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ZTLMkGuDUFT8qDcjbaR4V+JxBuSQtez5jLkmShvMumvdXn0OzjHgT4MU0O5B/H/ifwQ1Ny1u76d/baZ4rfyvNd+BzAx2UJI1TBuaSJGk4/0uzYdzLaJ55v49mCfungWPK5+HGu0fTbLB3NzAX+OdqXosnSVrGfMZckiRJkqQB8hlzSZIkSZIGyKXsWiE22GCDmjp16qCHIUmSJEkDMXfu3JuqasN+eQbmWiGmTp3KnDlzBj0MSZIkSRqIJNcNl2dgrhXivhtv5sbP//eghyFJkiRpnNrw7W8Y9BCWms+YS5IkSZI0QAbm40iSxUnmdY6pbfq7ktzVvo90qOyOSSrJvp20aW3aQe357CR7tp/PSTK9/fzWJKd06q2d5JokT1gxVypJkiRJ44eB+fiyqKqmdY4FbfoM4JfAq3vKXwa8rnM+A7h4FP38F/DYJC9pzz8MHF9Vv1n6oUuSJEnSxGRgPs4leSIwBfgATeDddR2wRpKNkwTYBfj+ktqsqgL2A45pZ9FfDBy5TAcuSZIkSROEm7+NL2smmdd+vraq9gD2Bk4GzgW2TrJxVf2pU+cbwGuBi4ALgbtH01FVXZLkTODHwO5Vdc+yughJkiRJmkicMR9fukvZ92jTZgAnV9X9wDdpgvCur7dpM4CTxtjfscD1VXVOv8wks5LMSTLnLwtvG2PTkiRJkjQxGJiPY0meDmwF/G+SBTSz5w9azl5VfwTuBV5KM/s9Fve3R19VdVxVTa+q6etPWXuMTUuSJEnSxOBS9vFtBnB4VR0xlJDk2iRb9JT7ELBRVS1uHjWXJEmSJK0oBubj297AK3rSTm3TfzGUUFU/G2V730tyb/v5fODghz1CSZIkSZrgDMzHkaqa0nP+kPeKV9W7O6fn9Mk/vPN5ZufzjsN0+7SxjVKSJEmS1OUz5pIkSZIkDZCBuSRJkiRJA+RSdq0Qj9xwPTZ8+xsGPQxJkiRJWuk4Yy5JkiRJ0gAZmEuSJEmSNEAuZdcKcd+Nf+bPX/jsoIchSRqwjfY7YNBDkCRppeOMuSRJkiRJA2RgLkmSJEnSABmYj2NJNk7ytSS/STI3yflJ9ujkH5Pk+iSP6KTNTFJJXtJJe1Wbtmd7fk6Sq5LMa49vrNgrkyRJkqTxw8B8nEoS4NvAT6rqCVW1LbA38Jg2/xHAHsDvgB16ql/alh0yA7i4p8w+VTWtPfZcHtcgSZIkSROBgfn49SLgnqr6wlBCVV1XVZ9pT3cELgc+TxN4d50LPDfJ6kmmAFsC85b/kCVJkiRp4jEwH7+2AS4cIX8GcBJwKvDKJKt38gr4EbAzsDtwWp/6X+0sZT9yGY1ZkiRJkiYcA/MJIsmxSS5O8sskk4BXAN+uqtuAX9AE4V0n0yxn35smgO/VXcp+8DB9zkoyJ8mcvyxcuAyvRpIkSZLGD99jPn5dDrxm6KSq9k+yATCHJghfF7i0eRSdycAi4PRO+QuSPB24s6qubsuNSVUdBxwHMG2Lx9XSX4okSZIkjV/OmI9fZwFrJHl7J21y+3cGsG9VTa2qqcDjgZcmmdzTxvuA9y/3kUqSJEnSBOaM+ThVVZXkVcDRSd4L3AjcAfwrcDSwX6fsHUnOA3braeP7I3Tx1SSL2s83VdVLRigrSZIkSRqGgfk4VlV/4MGvPRtyYp+yr+6czu6TP7PzeceHPzpJkiRJEriUXZIkSZKkgXLGXCvEIzfciI32O2DQw5AkSZKklY4z5pIkSZIkDZCBuSRJkiRJA2RgLkmSJEnSAPmMuVaIe2+8nj987tBBD0OSxrVN33HEoIcgSZKWgjPmkiRJkiQNkIH5OJFk/STz2uOPSa7vnD8uyXeSzE9yTZJPJZnUqbt9kguSXNkeszp5hyc5qE9/hyW5PMklbR/PW1HXKkmSJEnjiUvZx4mq+gswDZpgGlhYVUclCfAL4PNVtXuS1YDjgI8AByfZBPga8KqqujDJBsCZSa6vqu/16yvJC4BdgWdX1d1tnUn9ykqSJEmSRuaM+fj3IuCuqjoBoKoWAwcCb0kyGdgfmF1VF7b5NwHvBd43QpubAjdV1d1DdarqhuV4DZIkSZI0bhmYj3/bAHO7CVV1G/BbYMt++cCcNn04PwQem+TqJJ9LssMyHK8kSZIkTSgG5hqzqloIbAvMAm4ETkkys7dckllJ5iSZ85eFd67gUUqSJEnSqsHAfPy7giaIfkCStYHHAb/ul9+eXz5So1W1uKrOqap/BQ4AXtOnzHFVNb2qpq8/ZfLDuARJkiRJGr8MzMe/HwOTk7wRoN387RM0z5XfCRwLzEwytHHc+sB/Ah8frsEkWyfZqpM0DbhuOY1fkiRJksY1A/NxrqoK2AN4bZL5wNXAXcD72/w/AG8AvpjkSuBnwPFV9d1OMx9I8vuhA5gCnJjkiiSXAE8FDl9hFyVJkiRJ44ivSxuHqurwnvPfAbuNUP4nwHNGaOvwPlnbLfUAJUmSJEkPcMZckiRJkqQBMjCXJEmSJGmAXMquFWL1DTdn03ccMehhSJIkSdJKxxlzSZIkSZIGyMBckiRJkqQBcim7Voi7//xrrvnM7oMehrRUnvjP3xn0ECRJkjSOOWMuSZIkSdIAGZhLkiRJkjRABuYrkSSLk8xLcnGSC5Ns16bvmOT0nrKzk+zZft41yUVtvSuSvK1NPzzJQZ3y1yd5VHu+QZIF7eepSRa1fQ8db2zz3pLk0iSXJLksye5t+vOT/KIt+6skh6+YuyRJkiRJ44vPmK9cFlXVNIAkOwNHADuMVCHJ6sBxwHOr6vdt4D11mOKLgbcAn++Td81Q3522HwMcBjy7qm5NMgXYsM0+EXhdVV2cZDVg69FcoCRJkiTpwZwxX3mtDfx1FOXWovmB5S8AVXV3VV01TNljgAOTjPYHmY2A24GFbdsLq+raTt4f2vTFVXXFKNuUJEmSJHUYmK9c1myXhl8J/Bfw70uqUFU3A6cB1yU5Kck+SYb7d/0tcB7wj33yntizlP2FwMXAn4Brk5yQZLdO+aOBq5KcmuRtSdYYw3VKkiRJkloG5iuXRVU1raqeDOwCfDlJgBqmfAFU1b7Ai4ELgIOA40fo4wjgYB76b39N2/fQcW5VLW7HsSdwNXD00LPkVfVhYDrwQ+D1wA96O0oyK8mcJHNuXnjPKC5fkiRJkiYeA/OVVFWdD2xA80z3X4BH9xRZD7ipU/7SqjoaeCnwmhHanQ/MA143ynFUVV1QVUcAe3fbrqprqurzND8KPDPJ+j11j6uq6VU1fb0pk0bTnSRJkiRNOAbmK6kkTwZWownK5wObJXlKm7cF8ExgXpIpSXbsVJ0GXLeE5j9CM7O+pDFsluTZ/dpO8sp2Nh9gK5qN5W5ZUpuSJEmSpAdzV/aVy5pJ5rWfA7ypXU6+OMkbgBPaZ7nvBfZtd0pfC3hvkv8LLALuAGaO1ElVXZ7kQqAbdD+x0zc0y+G/AxyVZDPgLuBGYL82/x9plrbfCdwH7NOOVZIkSZI0Bqka7vFladl5+uPWrW8fPOKb36SV1hP/+TuDHoIkSZJWcUnmVtX0fnkuZZckSZIkaYBcyq4V4lEbbemsoyRJkiT14Yy5JEmSJEkDZGAuSZIkSdIAGZhLkiRJkjRAPmOuFeLOG3/N3C/sNuhhSA+y7X7fHfQQJEmSJGfMJUmSJEkaJAPzlViSSvLfnfNHJrkxyent+cz2fF7neGqSqUkWJbkoya+SXJBkZqedmUk+2zl/Y5LLklza1jmoT58f6xnbOUn6voNPkiRJkjR6LmVfud0BPC3JmlW1CHgpcH1PmVOq6oBuQpKpwDVV9az2/AnAt5Kkqk7oKfty4F3Ay6rqhiSPAt7YKfJS4GrgtUkOrapadpcnSZIkSXLGfOV3BvDK9vMM4KSxNlBVvwHeDbyzT/ahwEFVdUNb9u6q+mInfwbwKeC3wAvG2rckSZIkaWQG5iu/k4G9k6wBPAP4RU/+Xj1L2dccpp0LgSf3SX8aMLdfhbbPlwDfpflBYMbSXIAkSZIkaXgG5iu5qroEmEoTFJ/Rp8gpVTWtcywapqksRfe7Ame3bX4TeFWS1UZbOcmsJHOSzPnrwnuWontJkiRJGv8MzFcNpwFHsRTL2DueBfyqT/rlwLbD1JkBvCTJAppZ9fWBF422w6o6rqqmV9X0R0+ZNMbhSpIkSdLEYGC+ajge+LequnRpKrebwR0FfKZP9hHAkUk2actOSrJvkrWBFwKPq6qpVTUV2B+Xs0uSJEnSMuWu7KuAqvo98OlhsvdKsn3n/B3ADcATk1wErAHcDny6qmb3afuMJBsDP0oSoGh+CNgDOKuq7u4U/w7w8XbndoDvJbm3/Xx+Vb126a5QkiRJkiau+PYrrQhP3WLd+sqhLxz0MKQH2Xa/7w56CJIkSZogksytqun98lzKLkmSJEnSABmYS5IkSZI0QD5jrhVi8oZbumxYkiRJkvpwxlySJEmSpAEyMJckSZIkaYBcyq4V4vab5nPOF1856GFogtnxrd8b9BAkSZKkJXLGXJIkSZKkATIwlyRJkiRpgMZ1YJ5kcZJ5SS5L8j9JJvekDx3va9PPSXJVkouT/DLJtE5bb0lyaZJL2vZ2b9OT5ANJ5ie5OsnZSbbp1FuQ5Jud8z2TzO4Z57eT/Lwn7fAkB/W5poXt3/17ruGyJJXkKZ2yxyS5Pskjkjy9U/bmJNe2n3+UZGqSyzr1tk9yQZIr22NWz7juTLJR75gkSZIkSWM33p8xX1RV0wCSfBXYD/hkN72PfapqTpI3A0cCL03yGOAw4NlVdWuSKcCGbfn9ge2AZ1bVnUleBpyWZJuquqsts22Sp1bVFb2dJVkX2BZYmOQJVfWb0VxYVR0LHNtp56PAvKr6VXv+CGAP4HfADlV1NjB0L2YDp1fVN9rzqZ12NgG+Bryqqi5MsgFwZpLrq2rogd2bgPcAh4xmrJIkSZKk4Y3rGfMe5wJbjqH8+cDm7eeNgNuBhQBVtbCqrm3zDgEOqKo727wfAj8D9um09QmawL6fVwPfBU4G9h7D+B6Q5B+A1wHv6CTvCFwOfB6YMYbm9gdmV9WFAFV1E/Be4H2dMscDeyVZb2nGK0mSJEn6mwkRmCd5JPBy4NI2ac2eZeB79am2C/Dt9vPFwJ+Aa5OckGS3tt21gb/rM8s9B9imc/514NlJ+v0wMAM4qT3GEkAPXdu6wGzgTVV1W592TwVemWT1UTa5DTC3J633ehbSBOf/MtbxSpIkSZIebLwvZV8zybz287nAl9rPIy1l/2qSScAU2qXfVbU4yS7Ac4AXA0cn2ZZmWfxoLKZZFn8o8P2hxCQbA1sB51VVJbk3ydOq6rJh2unnC8BXquqnnXYnAa8A3l1Vtyf5BbAzcPoY2l2STwPzkhw1XIH22fRZABuvt8Yy7FqSJEmSxo/xPmO+qKqmtcc/V9U9o6izD/AE4ETgM0OJ1bigqo6gWXL+mnaG+o4kT+hpY1uaZeRdXwH+AXhsJ+11wKNpZuIXAFMZw6x5kjcBWwD/3pO1M7AucGnb7vZjaPeKdvxdD7meqrqF5ln0/YdrqKqOq6rpVTV9nbUmjbJ7SZIkSZpYxntgvlSqqoAPAs9P8uQkmyV5dqfINOC69vORwKeTrAmQ5CU0gfDXetq8FzgaOLCTPAPYpaqmVtVUmgB4VM+Ztz8GfJRms7r7erJnAPt22n08zSZ2k0fR9LHAzKEd6ZOsD/wn8PE+ZT8JvI3xv/JCkiRJkpabiRqY9z5j/rHeAlW1iGbTtoOB1YGj2leHzQP24m/PV38G+CXN7PRVNAH97m39Xl+iDWLbndC3AB54TVq7odytSZ7XJn0gye+Hjp62DgEmA9/quZYdaJ6P/16n3TuA84DdlnRjquoPwBuALya5kmYju+Or6rt9yt5E8wz7o5bUriRJkiSpvzSTw9LytfXUder/Hrb9oIehCWbHt35vyYUkSZKkFSDJ3Kqa3i9vos6YS5IkSZK0UvDZYK0Qa22wlbOXkiRJktSHM+aSJEmSJA2QgbkkSZIkSQNkYC5JkiRJ0gD5jLlWiFtvms/px7980MPQBLLrW74/6CFIkiRJo+KMuSRJkiRJA2RgPgZJFieZl+SyJP+TZHKf9O8mWbdTZ5skZyW5Ksn8JB9MkjZvZpIbk1zU5p2ZZLtO3e0GbAYAACAASURBVHOSTO+cT01yWef8uUl+0rZ9UZL/SrJ/O5Z5Se5Jcmn7+WNtf59NskOS83uu7ZFJ/pRksySzk+yZ5NS27q+T3Npp9+wk/9mpu0WS33SvW5IkSZI0OgbmY7OoqqZV1dOAe4D9+qTfDOwPkGRN4DTgY1W1NfBMYDvgHZ02T6mqZ1XVVsDHgG8lecqSBpJkY+B/gEOqauuqehbwA+Ab7VimATcAO7Xn7+tUPxd4TJItOmkvAS6vqhuGEqpqj7adfYFzO+2+AnhVZ5yfAj5YVbcsadySJEmSpAczMF965wJb9kk/H9i8/fx64KdV9UOAqroTOAB4X596VNXZwHHArFH0vz9wYlU9MPNdVd+oqj8tqWJV3Q98Hdi7k7w3cNIo+qWqFgEHAscmeQWwVlV9dTR1JUmSJEkPZmC+FJI8Eng5cGlP+mrAi2lmyQG2AeZ2y1TVNcCUJGsP0/yFwJNHMYyn9bY9RifRBuZJHkUzC/7N0VauqjOAvwIn8uAVAJIkSZKkMXBX9rFZM8m89vO5wJd60jcHfgX878PoI53P1Se/X9qYVdWcJFOSbA08BfhFVd08xmaOBdasqqv6ZSaZRTv7v+H6azys8UqSJEnSeOWM+dgMPUs+rar+uaru6aYDW9AE1vu36VcA23YbSPIEYGFV3TZMH8+iCe4B/gI8upO3HnBT+/ny3raXwtCs+aiXsfe4vz36qqrjqmp6VU1fZ8qkpRyiJEmSJI1vBubLUPsM+TuB97TL3b8KbJ/kJfDAZnCfBj7er36SHWhmmL/YJp0DvGFoF3fgTcDZ7efPAm9K8rxO/Ve3m8KN1knAG4AXAd8ZQz1JkiRJ0jJiYL6MVdVFwCXAjHaTtN2BDyS5iuaZ9F/SBNVD9mpfQXY18H7gNVU1NGN+HHA7cHGSi4EpwFFtP3+imek+qn1d2q+Andvyox3rr4A7gLOq6o6lvmhJkiRJ0lJL1TJ5ZFka0VZT16mjP7TdkgtKy8iub/n+oIcgSZIkPSDJ3Kqa3i/PGXNJkiRJkgbIwFySJEmSpAHydWlaIdbZYCuXFkuSJElSH86YS5IkSZI0QAbmkiRJkiQNkEvZtULc/Jf5nDx750EPQxPA3jPPHPQQJEmSpDFxxlySJEmSpAEyMJckSZIkaYBcyr6SSLKwqqb0pB0OLKyqo5LMBnYAbm2zj6+qTydZANwOLG7Tf1JV70zyfOBTwKPa4xTgOuBf2nJPBa5q680Hngk8s6oWtX1/D/jvtu70qjqgZ2x9+32Yt0GSJEmSJhwD81XLwVX1jT7pO1XVTT1pJwKvq6qLk6wGbF1VVwAnwAOB9QP1knwMOAz4QJJXAatX1UlJZo4wnn79SpIkSZLGwMB8/NoI+ANAVS0GrlhC+Q8DFyX5BvAxYLflOzxJkiRJEviM+armyCTz2uPpnfSzO+kHtmlHA1clOTXJ25KsMVLDVXUncBDwE+Dkqpo/ivH061eSJEmSNAbOmK9aRr2Uvao+nOSrwMuA1wMzgB1HaryqvpvkFuBzoxzPiEvZk8wCZgFssP6IvwtIkiRJ0oTljPk4VlXXVNXngRcDz0yy/iiq3d8ey6L/46pqelVNX2utScuiSUmSJEkadwzMx6kkr0yS9nQrmt3TbxngkCRJkiRJfbiUfeUxOcnvO+efHEPds5MMvbbskqp6I/CPwNFJ7gTuA/ZpN4FbGjPbndqHPH+EfiVJkiRJY2BgvpKoqhFXL1TVzGHSpw6TvvcS2huu3tSe89nA7D5F+9aXJEmSJI2NS9klSZIkSRogZ8y1Qqy3/lbsPfPMQQ9DkiRJklY6zphLkiRJkjRABuaSJEmSJA2QgbkkSZIkSQPkM+ZaIW76y3z+68s7D3oYWoXt+0b3KJAkSdL45Iy5JEmSJEkDZGC+CkiyOMm8zjE1yY5JTm/zZya5P8kzOnUuSzK1cz4tSSXZpaftSvKJzvlBSQ7vnL+xbevSJBclOahNn53k2s6YfrbcboAkSZIkjWMG5quGRVU1rXMs6FPm98BhI7QxAziv/dt1N/DqJBv0VkjycuBdwMuq6unA84FbO0UO7oxpuzFcjyRJkiSpZWA+fpwObJNk696MJAFeC8wEXppkjU72fcBxwIF92jwUOKiqbgCoqrur6ovLeuCSJEmSNJEZmK8a1uwsGT91mDL3Ax8H3t8nbzvg2qq6BjgHeGVP/rHAPknW6Ul/GjB3hHEd2RnXV5d4FZIkSZKkh3BX9lXDoqqaNopyXwMOS/L4nvQZwMnt55OBNwLfHMqsqtuSfBl4J7BoDOM6uKq+MVxmklnALID11l9juGKSJEmSNKE5Yz6OVNV9wCeAQ4bSkqwGvAb4UJIFwGeAXZKs1VP9GOCfgL/rpF0ObPswxnNcVU2vqulrrTVpaZuRJEmSpHHNwHz8mQ28BNiwPX8xcElVPbaqplbVFjSz5Xt0K1XVzcDXaYLzIUfQLFffBCDJpCT7LufxS5IkSdKEYmA+zlTVPcCngY3apBlA73Pp3+Shu7NDM9v+wO7sVXUG8FngR0kuBy4E1u6U7z5jPi+J0+KSJEmSNEapqkGPQRPA1MevUx/4t+cPehhahe37xjMHPQRJkiRpqSWZW1XT++U5Yy5JkiRJ0gAZmEuSJEmSNEC+Lk0rxAbrb+VSZEmSJEnqwxlzSZIkSZIGyMBckiRJkqQBcim7Vog/3Tyfo7+286CHoZXYga/3UQdJkiRNTM6YS5IkSZI0QAbmkiRJkiQNkIH5KirJYUkuT3JJknlJnpfknCRXJbk4yU+TbN2WnZTkmCS/TjI/yXeSPKbT1uK2jcuSfDfJukl+0ab9NsmN7ed5SaYmeUuSS9u+L0uy++DuhCRJkiSt2nzGfBWU5AXArsCzq+ruJBsAk9rsfapqTpJZwJHA/wE+CqwFbF1Vi5O8GfhWkudVVQGLqmpa2/aJwP5V9bz2fCYwvaoOaM8fAxzW9n1rkinAhivo0iVJkiRp3HHGfNW0KXBTVd0NUFU3VdUNPWV+AmyZZDLwZuDAqlrclj8BuBt4UZ+2zwc2H6HvjYDbgYVtWwur6tqHczGSJEmSNJEZmK+afgg8NsnVST6XZIc+ZXYDLgW2BH5bVbf15M8BtukmJFkNeDFw2gh9Xwz8Cbg2yQlJdlvai5AkSZIkGZivkqpqIbAtMAu4ETilXXIO8NUk84C/Bw4aZZNrtnX+CGwM/O8IfS8GdgH2BK4Gjk5yeL+ySWYlmZNkzh233zPKoUiSJEnSxGJgvoqqqsVVdU5V/StwAPCaNmufqppWVa+qqt8B1wCPS7JWTxPbApe3n4eeMd8CCLD/Evquqrqgqo4A9u703VvuuKqaXlXT/26tSf2KSJIkSdKEZ2C+CkqydZKtOknTgOv6la2qO4ATgU+2S9VJ8kZgMnBWT9k7gXcC70nSd2PAJJslefZo+pYkSZIkLZm7sq+apgCfSbIucB/wa5pl7d8YpvyhwFHA1UnuB64E9mh3ZH+QqrooySXADOArfdpaHTgqyWbAXTRL6fd7mNcjSZIkSRNW+sRm0jL32CesU+/+j+cPehhaiR34+jMHPQRJkiRpuUkyt6qm98tzKbskSZIkSQPkUnatEBuvt5UzopIkSZLUhzPmkiRJkiQNkIG5JEmSJEkDZGAuSZIkSdIA+Yy5Vogb/jqfD319l0EPQyuJD7/uB4MegiRJkrTScMZckiRJkqQBmrCBeZJNkpyc5Jokc5OckeRJSbZJclaSq5LMT/LBJGnrzExSSV7SaedVbdqe7fk5SX47VKdN+3aShe3nHZOc3jOW2T3153Typic5p1/dJC9PMifJFUkuSvKJnnbnJTm5/fzm9nxeknuSXNp+/lh7XZ/t1JuV5Mr2uCDJ9p28YccnSZIkSRq7CRmYt0HzqcA5VfXEqtoWOBTYGDgN+FhVbQ08E9gOeEen+qXA3p3zGcDFPV3cAvx929e6wKZjHOJGSV6+hGt4GvBZ4A1V9VRgOvDrTv5TgNWAFyb5u6o6oaqmVdU04AZgp/b8fT3t7gq8Ddi+qp4M7Ad8LckmYxmfJEmSJGl0JmRgDuwE3FtVXxhKqKqLgScBP62qH7ZpdwIHAN3g9VzguUlWTzIF2BKY19P+yfwteH818K0xju9I4LAllHkv8JGqurId6+Kq+nwnfwbwFeCHwO5j6PsQ4OCquqlt90LgRGD/MY5PkiRJkjQKEzUwfxowt0/6Nr3pVXUNMCXJ2kNJwI+AnWkC3tP6tPNj4B+SrEYToJ8yxvGdD9yTZKcRygx3DUP2ovmB4CSaIH20HnIPgDlt+ljGJ0mSJEkahYkamD9cQzPie9MEvr0WA+e1+WtW1YJOXg3TZm/6fwAfWJrBJZkO3FRVv6X5keBZSdZbmrZGsMTxtc+qz0ky587b7lnG3UuSJEnS+DBRA/PLgW37pF/Rm57kCcDCqrptKK2qLgCeDmxQVVcP08fJwKeBr/ek/wV4dE/aesBN3YSqOgtYE3j+GK8BmhnyJydZAFwDrA28ZpiyvR5yD9rzy8c4PqrquKqaXlXTJ689aZTdS5IkSdLEMlED87OARyWZNZSQ5BnAVcD2Q7uuJ1mTJrj+eJ823ge8f4Q+zgWO4KEz6vOBzdrN2UiyBc0mc73PqUMzK/3eYdo/Enh/kie17TwiyX5JHgG8Dnh6VU2tqqk0S+5Hu5z948B/Jlm/bXcaMBP43BjHJ0mSJEkahUcOegCDUFWVZA/gmCSHAHcBC4B30QSxn0lyLM2u5l+h2f28t43vL6kP4Kg+6XcneQNwQpI1gHuBfavq1j5lz0hy4zDtX5LkXcBJSSbTLIU/HXghcH1V3dAp/hPgqUk2rao/LGHcpyXZHPhZkgJup9n5/SH1RhqfJEmSJGl00sSP0vK12RPXqX2PeMGgh6GVxIdf94NBD0GSJElaoZLMrarp/fIm6lJ2SZIkSZJWCgbmkiRJkiQN0IR8xlwr3maP3srly5IkSZLUhzPmkiRJkiQNkIG5JEmSJEkD5FJ2rRALbpnPm0/dZdDD0HJywh4+piBJkiQtLWfMJUmSJEkaIANzSZIkSZIGyMBckiRJkqQBWikD8yQLe85nJvls+/nwJNcnmdc51u2UPabNf8Qw9Xfu1FuY5Kr285eT7Jjk9J6+ZyfZcwnj3SDJvUn260lfkOSbnfM9k8zujOnGJBclmZ/kzCTbLaGf2Umu7Yz/nZ1+Nu6k/7HnHk1KUkk+0WnroCSHj3RPk0xO8tUklya5LMl5Saa0dQ5LcnmSS9ryzxtp7JIkSZKk/lbVzd+OrqqjehPbYHwP4HfADsDZvWWq6kzgzLb8OcBBVTWnPd9xKcfzWuDnwAzgCz152yZ5alVd0afeKVV1QNv3TsC3kuxUVb8aoa+Dq+obfdIXV9W0tq3DgYXde5TkbuDVSY6oqpv61H/IPU1yKPCnqnp6e741cG+SFwC7As+uqruTbABMGmHMkiRJkqRhrJQz5g/DjsDlwOdpguQVZQbwHmDzJI/pyfsEcNiSGqiqs4HjgFnLfngA3Ne2f+AY6mwKXD90UlVXVdXdbfpN7Weq6qaqumFZDlaSJEmSJoqVNTBfs7usGvhwT/6BnfzurPgM4CTgVOCVSVZfir5f2NP3/xmpcJLHAptW1QXA14G9eop8HXh2ki1H0feFwJOXUObIzviePoo2u44F9kmyTp+8fvf0eOCQJOcn+Y8kW7XpPwQem+TqJJ9LskO/zpLMSjInyZy7brtnjEOVJEmSpIlhZQ3MF1XVtKED+FBP/tGd/J0AkkwCXgF8u6puA34B7LwUfZ/b0/dpSyi/F03wDXAyD52pXwwcCRw6ir4zijIHd8Z36SjKP6C9L18G3tkn+yH3tKrmAU+gGf96wC+TPKWqFgLb0szu3wickmRmn/6Oq6rpVTV9jbVd6S5JkiRJ/ayqz5j3szOwLnBpEoDJwCLg9JEqLQMzgE2S7NOeb5Zkq6qa3ynzFZrA/LIltPUsYKTny5eFY2hm5k8YTeE2CP8WzfPv99P8+PGrqloMnAOck+RS4E3A7OUxYEmSJEkaz1bWGfOlMQPYt6qmVtVU4PHAS5NMXl4dJnkSMKWqNu/0ewQ9s+ZVdS9wNCM8390uB58FfHF5jbcdy800M/z/tKSySf4+yaPbz5OApwLXJdm6s6wdYBpw3fIYryRJkiSNd6tqYN59HnpekqcCuwDfGypQVXcA5wG7tUkzk/y+c/Ru0rY0ZtA8z971TfpvPPclHrpCYa92/FcD7wdes4Qd2ZeVTwAb9KT13tOpwBOB/9fOiF8EzKG5vinAiUmuSHIJTcB++AoYtyRJkiSNO6mqQY9BE8AGW65Tux35gkEPQ8vJCXv8YNBDkCRJklZqSeZW1fR+eePpGXOtxKauu5XBmyRJkiT1YWA+SklOpXluveuQqjpzOfR1LPD3PcmfqqpRbdgmSZIkSVp1GJiPUlXtsQL72n9F9SVJkiRJGqxVdfM3SZIkSZLGBWfMtULMv+U6Xv6d/QY9DC1j39/9C4MegiRJkrTKc8ZckiRJkqQBMjAfhSSL23d7X5bkf5JMbtMX9pSbmeSznfNZSa5sjwuSbN+mn9q29+skt3beHb5dkklJjmnz5if5Tved60k2TvK1JL9JMjfJ+Un2aPN27LR3ZZKjesa3QZJ7k+zXk74gyaVJLknywySbdNI36JTbMcnpSbZJcnWSNTt530vS7/3tkiRJkqQRGJiPzqKqmlZVTwPuAZa4JjvJrsDbgO2r6sltna8l2aSq9qiqacC+wLlt29Oq6mfAR4G1gK2raivg28C30mrPf1JVT6iqbYG9gcd0uj63bftZwK5Juru7vxb4OdAvgN6pqp4BzAHeP9K1VdXlwLeAw9prfRWwelWdtKT7IkmSJEl6MAPzsTsX2HIU5Q4BDq6qmwCq6kLgRGDYHdfbmfg3AwdW1eK23gnA3cCL2uOeqnrgwd6quq6qPtPbVlUtAuYBm3eSZwDvATbvzsL3+Mkor+/DwGuTTAM+NtJ1SZIkSZKG5+ZvY5DkkcDLgR+0SWsmmdcpsh5wWvt5G2BuTxNzgDeN0MWWwG+r6rY+9bZpP184yrE+GtiKJtAmyWOBTavqgiRfB/YCPtGn6q7ApZ3zs5Msbj9PAa4EqKo7kxzUtv/Jqpo/mnFJkiRJkh7MGfPRGQrA5wC/Bb7Upi/qLEOfBnxoRQ4qybFJLk7yy07yC5NcDFwPnFlVf2zT9wK+3n4+mYcuZz+7vca1gSM66Tt1rm/fboWq+i5wC/C5YcY3K8mcJHPuue2upblESZIkSRr3nDEfnUVtYDoWVwDbAmd10rYFLh+hzjXA45KsVVW399Q7vf38mqHEqtq/3ZxtTqfsuVW1a5LHAz9P8vWqmkcTiG+SZJ+23GZJturMdO80tOx+jO5vj4eoquOA4wDW2XLDWoq2JUmSJGncc8Z8+fk48J9J1gdon8WeyTCzywBVdQfNc+ifTLJaW++NwGSaAP8sYI0kb+9UmzxMW9fSPPt9SJInAVOqavOqmlpVU2lmxd1FXZIkSZIGzMB8Oamq04DjgZ8luRL4IvCGqvrDEqoeCtwFXJ1kPs1O6ntUC3gVsEOSa5NcQBPIHzJMW18A/oEmAD+1J++bGJhLkiRJ0sClifWk5WudLTes7T7xmiUX1Crl+7t/YcmFJEmSJJFkblVN75fnjLkkSZIkSQNkYC5JkiRJ0gC5K7tWiK3W3cJlz5IkSZLUhzPmkiRJkiQNkIG5JEmSJEkD5FJ2rRDzb7mBV5x6+KCHoVE4Y4/DBz0ESZIkaUJxxlySJEn/n707j7eyLPc//vk64BAgzpnTVhxTEWWnZVhOpOaIE+xDKp06aKeyTJzSfllHM0XTTLOwg1MKloQDWWYKpTludDOoiAPkUOaQSXgQFK/fH8+99OFhTRv3ZsHe3/frtV57Pfd4PQv+udZ9P/cyM7MGcmJuZmZmZmZm1kDLLDGXFJIuzl2PlHROen+OpJckteVefSQ9Jql/arOKpHmSvpAbY4qkXSVtKGmipKmSnpB0Rx3xfFPS25LWypXtleI8JFc2UdJe6f1kSU9JmiZppqTLJfWp475/mbteRdKrkiYW2t0i6cEy/b+V5pqe7u9HklbN1fdPcxyQKxtc+CzbJL0n6UBJTZJmtPN+S2PcnMq3TXVtkp6UNLrW521mZmZmZmblLcsV8wXAEZLWq1B/SUT0z73+BfwF2CPV7wzMKl1L+gjQF5gKfB+4KyJ2joiPA2fUEU8L8AhwRKH8ReCsKv2GRUQ/oF+6p1trzPMWsKOkNdL1IOClfIOU3A8A1pK0Za78ROBzwCcjYifgE8ArwBq57i3AfekvABExIf9ZAj8F7gXuLBNfPfdbGuuoVHYZH/x7bQ/8pPpHYGZmZmZmZpUsy8T8XWA0cHI7+tzPB4n5HsDPgP7pejdgSkQsAjYiSzABiIhp1QaV1BfoCZxNLqFNpgJvShpUbYyIWAicBmwmaeca93EHcFB63wKMLdQfAdwOjAOG5srPAr6SvqQgIhZGxA8jYm66DwFHA8OBQZJWL04saRvg/wHHRsR7ZWKr634Lip/39Hb0NTMzMzMzs5xl/Yz5FcCw/PbxnJNzW6YnpbL8ivkewJ+BBZJ6pev7c+P+r6RJks6S9LEacQwlS4LvBbaVtGGh/jyypL2q9KXAVGC7Gk3HAUNT4twPeKhQX0rWx6b3SOoN9IyI2VXG3QOYHRHPApP5IPknjbEqcCNwSkQ8X2Wcavd7Q+7fZVQquwS4R9LvJJ1cazu/mZmZmZmZVbZME/O00nsdcFKZ6vxW9r1T+78CPSR9lCz5fYps+/nuZEnpX1K7O4EtgatSu8ckrV8llBZgXFpBHk+26pyP888AkgbWcVuq1SCt4DeleRd7/j19KbA1cF9EzALekbTjEpNI+6fkeI6k0pcVLWRJP+lvcfX/f4DHI+KmGvFVu9/8VvZTU/urge2BXwN7AQ9KWq1MzCMktUpqXTj3/6qFYGZmZmZm1m014lT2S4EvAR+ps/39ZInz3yMigAeBT5NtZX+g1Cgi/hkRN0bEsWTJ+2fKDSZpJ7JE+C5Jc8hWz4sJLdSxai5pZWAn4Mk67uM24CKW3MZ+DLA2MDvF0wS0pC8x5knaIt3fnel58RlkX1asDBwJ/L/U7yfAAWk3AekAtyOBr9URG9S5S6AkIv4WEWMi4jCyxxSW+DIhIkZHRHNENPfovWa9Q5uZmZmZmXUryzwxj4h/Ar8iS87rcT/wTT5Iwh8AjgNejog3ASTtI2nN9L4X2aFwlbZutwDnRERTen0M+JikzQtx/oEsYe5XbpC0Tfx84IVaz7QnY4DvlXkeuwU4oBQP2SFwpefMzweuLG0VT8+Ul54j3xeYFhGbpr6bk63+D5a0NnA1cFxE/LuO2Greb56kA0onw6fdDOtSONDOzMzMzMzM6rNKg+a9mCVXck9W7qfQgMMjYg7ZdvVLSIl5RPw9rRbfn2s7ALhc0rtkXzb8IiIeqTD3UODzhbIJqbz47Pd5LHnq+g2SFgCrAX8EDqswz2Ii4kWy08zfJ6kJ2JxsF0Cp3WxJb0raHbiSbGfBQ2nOeWSfx2NkOw8mFKYZD3wF2BjYgCypz9efX+Ye8yrd7/z0/rWI2I/spPgfS3o7lZ8aES9XGdfMzMzMzMwqULY73KxzrbXVx+LTo0Y0Ogyrwx2Dz2l0CGZmZmZmXY6kKRHRXK6uEc+Ym5mZmZmZmVnSqK3snS4d8nZ9oXhBROzeCXOtC9xdpmrfiHi9o+dbEW3d52NeiTUzMzMzMyujyybm6ZC1/storteX1VxmZmZmZmbWtXgru5mZmZmZmVkDddkVc1u+PP2vf3DQb37U6DAs+e0R32p0CGZmZmZmlnjF3MzMzMzMzKyBnJibmZmZmZmZNZAT8y5A0lmSHpc0TVKbpN0l9ZB0qaRnJD0t6VZJm+T6fFTSOEnPSpoi6Q5J20hqkjSjMP6lkl6StFKubLiky5flfZqZmZmZmXVFfsZ8BSfpU8DBwK4RsUDSekAP4AdAL2DbiFgk6YvAbySVfi5uAnBtRAxN4+wMbAi8UBh/JWBwKv8sMGkZ3JaZmZmZmVm34cR8xbcR8FpELACIiNckrQl8EdgiIhal8qsl/SewDxDAOxHxs9IgETEVQFJTYfy9gMeBm4AWnJibmZmZmZl1KG9lX/H9AdhU0ixJP5X0WWAr4PmImFto2wrsAOwITKlz/BZgLNkK+0GSVu2guM3MzMzMzAwn5iu8iJgHDABGAK+SrWzv1RFjS+oBfB64JSX5DwH7t6P/CEmtkloXvvlWR4RkZmZmZmbW5XgrexeQtqtPBiZLmg6cAGwmqVdE/DvXdAAwMb0/qo6h9wf6ANMlAawJzM+NUSuu0cBogLW22jTq6WNmZmZmZtbdeMV8BSdpW0lb54r6A08B1wI/krRyanccWWJ9T3qtJmlEbpx+kvYsDN8CfDkimiKiCdgCGJSeYTczMzMzM7MO4BXzFV9P4CeS+gDvAs+QbWv/N3ARMEvSe8BMYHBEBICkwcClkk4H3gbmAN8sDZqS7wOAE0tlEfGWpPuAQ1LRcEmH52L5ZES82Cl3aWZmZmZm1kU5MV/BRcQUYI8K1V9Pr3L9/gYcU6HfjunvOmX6HZG7vKa+KM3MzMzMzKwSb2U3MzMzMzMzayAn5mZmZmZmZmYN5K3stkxs3WdDfnvEtxodhpmZmZmZ2XLHK+ZmZmZmZmZmDeTE3MzMzMzMzKyBvJXdlomn33iVg8b/vNFhdCu/PfKERodgZmZmZmZ18Iq5mZmZmZmZWQPVlZhLWrmzAzEzMzMzMzPrjupdMX9a0ihJH693YEmLJLVJmirpUUl75OoGSnpY0sz0GlHoOyJX97Ckgbm6yZKa0/stJD0taX9Ja0q6QdJ0STMk3SepZ40YD5cUkrbLlTWlsq/nyi6XNDy9v0bS7HRf3dyyJwAAIABJREFUsyRdJ2mTGvPMSXFNk/QnSZuX+ZxKrzNy9/lUrvyoOttPlfSIpP5l5i/1uSx3Ly9JWi1drydpTq7fNpLuSJ/xo5J+JWlDSXtJerMQx37VPgMzMzMzMzMrr95nzHcGhgK/kLQSMAYYFxFzq/SZHxH9ASTtD5wPfFbSR4EbgcMj4lFJ6wF3SnopIn4r6WDgBGBgRLwmaVfgFkm7RcTLpcFTMvx74JSIuFPSmcA/ImKnVL8t8E6N+2oB7kt/v5srfwX4hqSfR8TCMv1OjYibJQn4JnCPpB0rtC3ZO93P94Czgf8qfk5lDIuI1kJZzfaSvgiMAgYV5y/TZxHwn8CV+UJJqwO/Bb4VEbensr2A9VOTeyPi4ApxmJmZmZmZWZ3qWjGPiH9HxFURsQdwOlkS+3dJ10raqo4hegNvpPdfBa6JiEfT2K8BpwFnpPrTyRLf11L9o8C1qV/JRsAfgLMi4rZc2Uu5mJ+KiAWVAkqr6QOBL5F96ZD3KnA3cHy1m4rMJcDLwIHV2uY8AGxcZ9ul1Z45LgVOllT8kuY/gAdKSTlAREyOiBkdFKOZmZmZmZnRjmfMJR0qaQJZIncxsCVwO3BHhW5rpC3OM4FfAP+TyncAphTatqbyeuohS9Qvj4ibc2VjgNMlPSDpXElb17itw4DfR8Qs4HVJAwr1FwAj63y+/lFgu5qtMgcAt+SuS59T6TUkV3dDrnzdOtpXmgNgUq7Pybny58l2DRxbaL8jS/475O1ZiKNvlbZmZmZmZmZWQb1b2Z8GJgGjIuL+XPnNkj5ToU9+K/ungOsk7bj0oS7mj8AXJF0TEf8HEBFtkrYEPgfsBzwi6VMR8WSFMVqAH6f349L1+4loRDwn6SGyleNaVEebSZLWAeYB38mVd+RW9hsk9QB6AsU2lbayQ/aYwa1kW9frVXMru7KzA0YArL7eOu0Y2szMzMzMrPuouWKeVoyviYgvFZJyACLipFpjRMQDwHpkzyc/ARRXpwcAj6f3teoBLgQeAX6d34IdEfMi4jcR8d/AL4HPV7indYB9yJ6ZnwOcChyTnhnP+wHZ1vpaifcuQKUvAEr2BjYH2oDv1Wi7tIaR7WS4FvhJvZ0i4ukU1zG54sdZ8t+hXSJidEQ0R0Rzj95Vz+EzMzMzMzPrtmom5hGxCPhQh3ylU89XBl4HrgCGl04NT1u0LyBLtkl/Lyht3U7thgM/LQz7TWAu8L/KfFrS2qlPD+DjwF8rhHQUcH1EbB4RTRGxKTAb2DPfKCJmkn1RcEiF+5Kkk8ieb/99rc8hIt5NcR+XvhzocBERZCvyn1TutPk6nAeMzF3fCOwh6aBSgaTPdOCuBzMzMzMzM6P+n0v7i7KfDNtT0q6lV40+7z8LDdwEHB8RiyLi78AXgKvS8+f3A2NKh4ylw9zGAPen+quAL6R+70sJ6PFkSfGFQF/gT5KmA4+RPZc+vkJsLcCEQtn4VF50HlD8ObRRkqYCs4BPkG0Tr3Yiez7uvwNj+eAwu+Iz4z+sMUTN9hExn+wcgFNzxflnzK8r0+dxsmfl82McDHw9/VzaE8B/kx2MB0s+Y35UPfdvZmZmZmZmi1OW39ZoJE0qUxwRsU/Hh2Rd0Vp9N4+BF3670WF0K7898oRGh2BmZmZmZomkKRHRXK6ursPfImLvjg3JzMzMzMzMzKDOxFzSWmS/XV46gf1PwPcj4s3OCqwjpOfU7y5TtW9EvN4J8z0ErFYoPjYipnf0XCuardde3yu4ZmZmZmZmZdT7c2ljgBl8cGr3scDVwBGdEVRHScl3pZ8W64z5dl9Wc5mZmZmZmVnXUG9i3jcijsxdfy8d6mZmZmZmZmZmH0K9ifl8SQMj4j4ASZ8G5ndeWNbVPPPG6xw8/tpGh9FtTDzy+EaHYGZmZmZmdao3Mf8KcG161lzAP8l+W9zMzMzMzMzMPoR6T2VvA3aW1Dtdz+3UqMzMzMzMzMy6iXpPZf9W4RrgTWBKStrNzMzMzMzMbCmsVGe7ZuBEYOP0OgE4ALhK0mmdFFtFktaV1JZeL0t6KXcd6e8MSbdL6lPo2yZpXHq/pqTXSzsBcm1ukTRE0nBJr+bGbpP0cUlNkma0I95V0jg/LJRPltSau26WNDm930vSm5Iek/SUpD9LOrjGPOdIGlmm/HBJ0yQ9KWm6pMML9SMlzUz394ik43J160l6R9KJhT5zJK1X72dgZmZmZmZm5dWbmG8C7BoRp0TEKcAAYAOy3zUf3kmxVRQRr0dE/4joD/wMuCR3/VZ6vyPZs/BfLfWTtD2wMrCnpI9ExP8BdwKDc23WAgYCt6eim0pjp9cTSxHyIGAWcLTSdoOcDSQdWKHfvRGxS0RsC5wEXC5p3/ZMLGln4CLgsIjYHjgUuEhSv1R/Yopvt/T57Ut2jkDJ0cCDQEt75jUzMzMzM7P61JuYbwAsyF2/A2wYEfML5cubB8hW+EtagOuBPwCHpbKxwNBcm8HAnSlp7ygtwI+B54FPFepGAWfVGiA9MvB94GvtnHsk8IOImJ3GmQ2cD5ya6r8NfKV0bkBEzI2I/PHpLcApwMaSNmnn3GZmZmZmZlZDvYn5DcBDkr4r6bvAX4AbJX0EWJoV5E4naWWy1d/bcsVDgHFkyXhpBfhOYFdJ66broan+/T6FrexrtDOO1YH9yFbg8/OWPAAslLR3HcM9CmzXnvmBHYAphbJWYIe0hb9XRDxXrqOkTYGNIuJh4Fdkn1/dJI2Q1CqpdeHcf7czbDMzMzMzs+6hrsQ8Iv4HGAH8K71OjIjvR8RbETGsMwNcCmtIagNeBjYE7oLs+W3gtYh4Hrgb2EXSOhGxkCx5Pyo9M70LWbJeUtzK3t7fbz8YmJT6jQcOT18a5J0LnF3HWMVt8J1tCFlCDtkXGu3azh4RoyOiOSKae/Tu1eHBmZmZmZmZdQX1rpgDrA7MjYgfA3+VtEUnxfRhzU/PSm9OlsiWnjFvAbaTNAd4FugNHJnqStvZjwJujYh3OjCeFmC/NO8UYF1gn3yDiLgHWAP4ZI2xdgGebOf8T5CdCZA3AHg8bV+fJ2nLCn1bgOEp9tuAfpK2buf8ZmZmZmZmVkVdiXnavn46cGYqWhX4ZWcF1RHSM+InAadI6gEcA+wUEU0R0UT2jHlpBXgysDVZEj92ydGWTtoqviewWW7er1J+5flcoOIJ9+mwtu8AV7QzjIuAMyU1pXGayJ4rvzjVnw9cUTqZXlJPScdJ2gboGREb52I/v0LsZmZmZmZmtpTqXTEfTHaa91sAEfE3YLnfmxwRjwHTyL5QeCnFXfJn4OOSNoqI94CbyVaz/1QYpviM+R6pfFtJL+ZeR5cJYTBwT0TkD8i7FThE0mqFWO8AXi3037P0c2lkCflJEXF3jds+Ox9XOjTudOB2STPJnnU/Lff781cCk4BH0k/A3Qu8R5aATyiMPZ7FE/Npubl+VCMuMzMzMzMzK0MRUbuR9HBE7Cbp0YjYNR369kBE9Ov8EK0r6NN3ixh44TmNDqPbmHjk8Y0OwczMzMzMciRNiYjmcnX1rpj/StLPgT6S/gv4I/CLjgrQzMzMzMzMrLuqa8UcQNIg4HNkB6rdGRF3dWZgKxpJVwCfLhT/OCKu7oS5zgKKW+d/HRHndfRcHaW5uTlaW1sbHYaZmZmZmVlDVFsxr3cr+wURcXqtMrNKnJibmZmZmVl31hFb2QeVKTtw6UMyMzMzMzMzM4BVqlVK+grw38CWkqblqnoBf+nMwKxreeaNNzj45psaHUaXMvGoIY0OwczMzMzMOkDVxBy4Efgd2e9Xn5Er/3dE/LPTojIzMzMzMzPrJqpuZY+INyNiTkS0RMRfgflAAD0lbbZMIuwGJJ0l6XFJ09Jvpe8uabKk5lybpvQ746XrgZIeljQzvUbk6s6R9FIaa4akQ+soH5neX5ParJau15M0Jzf21pImSnpW0hRJkyR9ptM/JDMzMzMzsy6qrmfMJR0i6WlgNvAnYA7ZSrp9SJI+BRwM7Jp+F34/4IUafT5KtpvhxIjYDhgInCDpoFyzSyKiP9np7WMkrVSjPG8R8J9l5l0d+C0wOiL6RsQA4OvAlvXfsZmZmZmZmeXVe/jbucAngVkRsQWwL/Bgp0XVvWwEvBYRCwAi4rWI+FuNPl8FromIR0t9gNNY/HEDUt2TwLvAevWUJ5cCJ0sqPuowDHggIm7LjTMjIq6pEa+ZmZmZmZlVUG9i/k5EvA6sJGmliJgElD3m3drtD8CmkmZJ+qmkz+bqbkjbztuAO3LlOwBTCuO0pvLFSNodeA94tZ7y5HngPuDYQvkOwKO1b8nMzMzMzMzqVevwt5J/SeoJ/JksWXwFeKvzwuo+ImKepAHAnsDewE2SSivfwyKiFbJnzIGJ7Rj6ZElfAP4NDImIkFStvOh84FayretlSZoAbE22k+KIMvUjgBEAa6xXbmHezMzMzMzMav1c2lbAhsBhZAe/nUy2nXlzsmeLrQNExCJgMjBZ0nTg+BpdngAGkCXOJQOAx3PXl0TERWX6ViovxvR0Wqk/Jlf8OPCZXJvB6YC6suNFxGhgNECfvn2j1pxmZmZmZmbdUa2t7JcCcyPirYh4LyLejYhrgQnAOZ0eXTcgaVtJW+eK+gN/rdHtCmC4pP5pjHWBC4ALOzi884CRuesbgU+XTnNP1uzgOc3MzMzMzLqVWlvZN4yI6cXCiJietlbbh9cT+ImkPmSHsT1Dtv375kodIuLvaTv6VZJ6AQIujYjbOzKwiHhc0qPArul6vqSDgR9JuhT4B9mW+HM7cl4zMzMzM7PuRBGVdxhLejoitq5Q90xEbNVpkVmX0qdv3xh4wQ8aHUaXMvGoIY0OwczMzMzM6iRpSkSUPUS91lb2Vkn/VWbAL7PkqeBmZmZmZmZm1k61trJ/E5ggaRgfJOLNQA9gcGcGZmZmZmZmZtYdVN3K/n4jaW9gx3T5eETc06lRWZfT3Nwcra2tjQ7DzMzMzMysIaptZa/rd8wjYhIwqUOjMjMzMzMzM7Oaz5ibmZmZmZmZWSeqa8Xc7MN65o1/cejNtzY6jOXSbUcd1ugQzMzMzMysgbxibmZmZmZmZtZATszNzMzMzMzMGsiJ+QpK0iJJbZIelzRV0imSViq0uUXSg+n9/ql9m6R5kp5K76+TtJekiandcEnvSeqXG2eGpKb0vqekKyU9K+lRSVPK/da9mZmZmZmZ1ceJ+YprfkT0j4gdgEHAgcB3S5WS+gADgLUkbRkRd6b2/YFWYFi6Pq7M2C8CZ1WY9xfAG8DWEbErcACwTsfdlpmZmZmZWffixLwLiIhXgBHA1yQpFR8B3A6MA4a2c8iJwA6Sts0XSuoL7AacHRHvpblfjYgLPkz8ZmZmZmZm3ZkT8y4iIp4DVgY2SEUtwNj0amnncO8BFwLfLpTvAEwtJeVmZmZmZmb24Tkx74IkbQhsDdwXEbOAdyTt2M5hbgQ+KWmLKvOclZ5T/1uF+hGSWiW1Lpw7t53Tm5mZmZmZdQ9OzLsISVsCi4BXgGOAtYHZkuYATbRz1Twi3gUuBk7PFT8B7Fw6ZC4izkvPrPeuMMboiGiOiOYevcs2MTMzMzMz6/acmHcBktYHfgZcHhFBloQfEBFNEdFEdghce58zB7gG2A9YHyAiniE7OO5cSSunuVcHVGkAMzMzMzMzq86J+YprjdLPpQF/BP4AfC/9rNnmwIOlhhExG3hT0u7tmSAiFgKX8cFz6wBfBtYFnpHUCtwFnPYh7sPMzMzMzKxbU7bAata5+vTdKj5zwcWNDmO5dNtRhzU6BDMzMzMz62SSpkREc7k6r5ibmZmZmZmZNZATczMzMzMzM7MGWqXRAVj3sNXafbxl28zMzMzMrAyvmJuZmZmZmZk1kBNzMzMzMzMzswbyVnZbJp55Yy6H33xXo8NYbtxy1KBGh2BmZmZmZssJr5ibmZmZmZmZNZATczMzMzMzM7MGcmJeIGmSpP0LZd+U9DtJM9L1XpLelPSYpKck/VnSwbn250h6SVJb7tUn1Q2U9LCkmek1okY8+bFmSDo0Vz6yQp/1JL0j6cR0/V+SbsrV95b0rKQtJV0jaXYuzvtTm+GSXk1lMyWdnOu/raTJqe5JSaPb+zmbmZmZmZlZxon5ksYCQwtlQ4HzC2X3RsQuEbEtcBJwuaR9c/WXRET/3Otfkj4K3AicGBHbAQOBEyQdVCOmSyKiP3A0MEZSrX+3o4EHgZZ0/QtgU0n7pevvA2Mi4rl0fWouzj1y49yU5v00cJakTVP5Zbn72x74SY14zMzMzMzMrAIn5ku6GThIUg8ASU3Ax4AXKnWIiDayZPdrNcb+KnBNRDya+r0GnAacUU9gEfEk8C6wXo2mLcApwMaSNomIAE4ELpXUDOwLjKpnzjTv68AzwEapaCPgxVz99HrHMjMzMzMzs8U5MS+IiH8CDwMHpqKhwK+AqNH1UWC73PXJue3hk1LZDsCUQr/WVF6TpN2B94BXq7TZFNgoIh5OcQ8BiIhpwJ3A3cDXI2JhrtuoXKw3lBlzM2B1YFoqugS4J23vP7m0Tb9MvxGSWiW1Lpz7Zj23aGZmZmZm1u04MS8vv519aLquRYXr/Fb2vT9kPCdLagMuAoakFfBKhpAl5ADj+GA7O8AVwEsRMbnQJ7+VfVh+LEnTyFbLfxoRbwNExNXA9sCvgb2AByWtVgwkIkZHRHNENPfovVa992pmZmZmZtatODEv71ZgX0m7AmtGRHGVu5xdgCdrtHkCGFAoGwA8XqNfKcnfMyLurdG2BRguaQ5wG9BP0tap7r30qtdNEdEP2AP4YXpGHoCI+FtEjImIw8i21+/YjnHNzMzMzMwscWJeRkTMAyYBY6hjtVxSP+A7ZCvS1VxBljT3T/3WBS4ALvxQAX8QxzZAz4jYOCKaIqKJ7NC6luo9q4uIVuB64BtpngMkrZrefxRYF3jpw8xhZmZmZmbWXTkxr2wssDOVE/M9Sz+XRpZwnxQRd+fq88+Yt0lqioi/A18ArpI0E7if7HT025cyxrMlvVh6kSXgEwptxlM7MR9ViLVHmTYXAF+U1Av4HDBD0lSy59ZPjYiXl/IezMzMzMzMujVVf1zZrGP06btN7HVBrQ0F3cctRw1qdAhmZmZmZrYMSZoSEc3l6rxibmZmZmZmZtZAqzQ6AMtIOgs4ulD864g4rxHxdLSt1u7tVWIzMzMzM7MynJgvJ1IC3iWScDMzMzMzM6uft7KbmZmZmZmZNZBXzG2ZePaNeRwx/v5Gh9EpfnPkHo0OwczMzMzMVmBeMTczMzMzMzNrICfmZmZmZmZmZg3kxNzMzMzMzMysgZZpYi4pJP0yd72KpFclTSy0u0XSg4WycyS9JKlN0gxJh6bybSVNTuVPShpdRxyXprFWypUNl/SepH65shmSmtL7OZKmp9cTks6VtHqVOZrS/X49V3a5pOFl7v+HuT4v5uNK5W2Sdk+fwchc+bckzUwxTZX0I0mr5ur7pxgOSNcT0ljPSHozvW+TtEf6DJtTu7UkXZfaPZver1XvfZmZmZmZmVn9lvWK+VvAjpLWSNeDgJfyDST1AQYAa0nastD/kojoT/Z732NSAntZqTwitgd+Ui2A1Gcw8ALw2UL1i8BZVbrvHRE7AbsBWwI/rzYX8ArwDUk9KtQPAmYBR0tSRMwBngf2zMW7HdArIh4q3MeJwOeAT6aYPpHmWyPXrAW4L/0lIganz+/LwL3pM+sfEcVT2f4XeC4itoqIvsBs4BftuC8zMzMzMzOrUyO2st8BHJTetwBjC/VHALcD44Ch5QaIiCeBd4H1gI3IEupS3fQa8+8FPA5cmebPmwjsIGnbagNExDzgROBwSetUafoqcDdwfIX6FuDHZMn4p1LZWBa/76Fkn0XRWcBXIuJfKaaFEfHDiJgLIElkX2AMBwZVW93Pk7QV2Rcj/5Mr/j7QLKlvnfdlZmZmZmZmdWpEYj4OGJoSxX7AQ4X6UrI+liUTZwAk7Q68R5YgXgLcI+l3kk5OK+7VlMafAByU3/qdxrwQ+Hatm0gJ8Gxg6xpNLwBGSlq5cA+rA/uRfQmRv9dfkSX8pZ+yG0LhywtJvYGeETG7yrx7ALMj4llgMh98GVLLx4G2iFhUKkjv24Adat1XIc4RkloltS6Y+686pzczMzMzM+telnliHhHTgCayRPSOfJ2kDckS3fsiYhbwjqQdc01OltQGXAQMiczVwPbAr8lWwx+UtFq5udPW688Dt6TE+iFg/0KzG4FPStqijttRrQYR8Vya5z8KVQcDkyJiPjCeLBlfOSL+AcwA9pXUH3g3ImZUDULaPz0rPkdS6Ue1W/hgpX0cFb7kWFpV7ivfZnRENEdE82q9a31fYmZmZmZm1j016lT228iS6+I29mOAtYHZkubwQQJfUnqWfM+IuLdUGBF/i4gxEXEY2Rb3fDKftz/QB5iexh9YGJ+IeBe4GDi92g1I6pXim1WtXfKDNF4+kW8B9ktxTAHWBfZJdaXt7ENZ8jMqrdbPK315EBF3pmfHZwA90ir2kcD/S+P/BDggxVzLE0D/wsF4KwH9U12t+zIzMzMzM7N2aFRiPgb4XpnnwVuAAyKiKSKayJ51LvuceYmkA0rb0SV9lCzBfalC8xbgy7nxtyB7/nrNQrtryLaZr19hzp7AT8lW3t+oFh9ARMwkS2oPSf17kx3wtlkulq/ywZcEvyFb2R9C+efLAc4Hrixt3U/PlJeeI98XmBYRm6bxNydblR9cR6zPAI8BZ+eKzwYeTXUV78vMzMzMzMzaryGJeUS8GBGX5cvSz5JtDjyYazcbeDM9U17J54AZkqYCdwKnRsTLxUYp+T4A+G1u/LfITi1fLLGMiIVkp71vUBhmkqQZwMNkB7adUPVGF3cesEl6Pxi4JyIW5OpvBQ6RtFo60O0B4B9py3g5V5IdwPaQpGnAX8gS6sfIEvwJhfbjqX87+5eAbdJPpT0LbJPKat2XmZmZmZmZtZMiotExWDewdt/tYu8LxzQ6jE7xmyP3qN3IzMzMzMy6NUlTIqK5XN0q5QrNOlrftXs6gTUzMzMzMyujSybmkvYn+zmvvNkRUfMZ66WYayfg+kLxgoiotv3ezMzMzMzMDOiiiXlE3En2vPmymGs62YnlZmZmZmZmZu3WqFPZzczMzMzMzIwuumJuy5/n3pjP0eNnNDqMpfLrI3dsdAhmZmZmZtaFecXczMzMzMzMrIGcmJuZmZmZmZk1UJdPzCUtktSWezWl8oGSHpY0M71GFPqNyNU9LGlgrm6ypKckTUv1l0vqU0csh0sKSdvlyppS2ddzZZdLGp7eXyNptqSpkmZJuk7SJjXmmSNpeno9IelcSavn5pufPosn0nirprq9JE1M74dLek9Sv9y4M3Kf3xxJ66X3A1KMu9T6DMzMzMzMzGxxXT4xB+ZHRP/ca46kjwI3AidGxHbAQOAESQcBSDoYOAEYmOpPBG5M/UqGRUQ/oB+wALi1jlhagPvS37xXgG9I6lGh36kRsTOwLfAYcE+VtiV7R8ROwG7AlsDPc3XPRkR/YCdgE+CYCmO8CJxVbZKUuN8MDImIx2rEZGZmZmZmZgXdITEv56vANRHxKEBEvAacBpyR6k8nS4ZfS/WPAtemfouJiIWp72aSdq40oaSeZF8AfAkYWqh+FbgbOL5a0JG5BHgZOLDGPZb6zCP7YuFwSesU6hYBDwMbV+g+EdhB0rYV6rcHbgGOjYiH64nHzMzMzMzMFtcdEvM1ctvYJ6SyHYAphXatqbye+sWkBHcqsF25+uQw4PcRMQt4XdKAQv0FwEhJK1e9m8yjNeYqxjcXmA1snS9P29t3B35foet7wIXAtyvU3wp8LSLuK1eZHgdoldS6YO4b9YZrZmZmZmbWrXSHxDy/lX1wJ86jGvUtwLj0fhyF7ewR8RzwEPAfHTBXrT59JbUB/wD+HhHTqvS7EfikpC3K1P0R+HKlLxMiYnRENEdE82q9116KkM3MzMzMzLq+7pCYl/MEUFyxHgA8Xmf9YlJiuhPwZIX6dYB9gF9ImgOcChwjqZhg/4BsG32txHuXSnNVmL8X0ATMSkWlZ8z7AgMkHVqpb0S8C1yc4ir6Wvr703pjMTMzMzMzs8V118T8CmC4pP4AktYl20p+Yaq/ELgglZPaDadMAppOND8feKHKyvNRwPURsXlENEXEpmRby/fMN4qImWRfChxSbhBlTgI2ovL282KfninuWyJisf3k6Rn6M4AzawxzDbAfsH6h/D2yFf7tJH2/nnjMzMzMzMxscd0yMY+IvwNfAK6SNBO4HxgTEben+tuAMcD9qf4q4AupX8kNkqYBM4CPkD1DXkkLMKFQNp4lT2cHOI/spPS8UZKmkq14f4LsxPWFNW5zkqQZZIe7PU92ynw5twBrStqzQn3pgLvLgA3K1L0NHAocKmmJw/HMzMzMzMysOkVEo2OwbmCdvjvEvhfe1Ogwlsqvj9yx0SGYmZmZmdkKTtKUiGguV9ctV8zNzMzMzMzMlherNDqAriQ9k353map9I+L1TpjvIWC1QvGxETG9o+f6sLZcew2vPJuZmZmZmZXhxLwDpeS7/zKcb/dlNZeZmZmZmZl1Dm9lNzMzMzMzM2sgr5jbMvHCvxZy0oQXGh1GTZcN3rTRIZiZmZmZWTfjFXMzMzMzMzOzBnJibmZmZmZmZtZATsyXEUmLJLXlXmek8smSnpI0TdJMSZdL6pPqmiTNKIxzjqSRueuRqV+bpEckHZerW0/SO5JOTNdXpHZPSJqfi+UoSddIOiq16yHpUknPSHpa0q2SNsmNG5IuLsRwTid9dGZmZmZmZl2aE/NlZ35E9M+9fpirGxYR/YB+wALg1noGTAn3IGC3iOgP7Aso1+Ro4EGgBSAivprafR54NhfLzYWhfwD0AraNiK2BW4DfSCqNvQA4QtJ69d++mZmZmZmZlePEfDkSEQuB04Bos0ATAAAgAElEQVTNJO1cR5dvA1+JiLmp/9yIuDZX3wKcAmycX/GuRtKawBeBkyNiURr3arJkfJ/U7F1gNHByPWOamZmZmZlZZU7Ml501ClvZh5RrlJLhqcB21QaT1BvoFRHPVajfFNgoIh4GfgWUna+MrYDnS8l+TiuwQ+76CmCYpLXqHNfMzMzMzMzK8M+lLTvz0zbyepS2jEeF+krleUPIEnKAccAY4OLKzdsnIuZKug44CZhfro2kEcAIgF7rb9xRU5uZmZmZmXUpXjFfzkhaGdgJeBJ4HVi70GQd4LW0oj1P0pYVhmoBhkuaA9wG9JO0dR0hPEu2lb5XoXwA8Hih7FLgS8BHyg0UEaMjojkimtfovU4dU5uZmZmZmXU/TsyXI5JWBc4HXoiIaRExD/i7pH1S/TrAAcB9qcv5wBVpWzuSeko6TtI2QM+I2DgimiKiKbVtqRVDRLwFXAv8KH1JQDrpfU3gnkLbf5Ktyn/pQ966mZmZmZlZt+XEfNkpPmOeP5X9BknTgBlkq8+H5eqOA74jqY0sMf5eRDyb6q4EJgGPpJ9Vuxd4jywBn1CYfzx1JObJmcDbwCxJT5Od7j44Isptob8Y8OnsZmZmZmZmS0nlcy2zjrXhVv1iyKjfNjqMmi4bvGmjQzAzMzMzsy5I0pSIaC5X5xVzMzMzMzMzswbyqey2TGzap4dXo83MzMzMzMrwirmZmZmZmZlZAzkxNzMzMzMzM2sgJ+ZmZmZmZmZmDeRnzG2ZeOVf73DZhH80Ooz3nTR4w0aHYGZmZmZmBnjF3MzMzMzMzKyhnJibmZmZmZmZNdAKkZhLOlxSSNouXe8laWKhzTWSjpI0QVKbpGckvZnet0naQ1IPSZemuqcl3Sppk/bOn8qaUtnXc2WXSxqei2e2pKmSZkm6rtpckq6WdEKZeX+X3i/K3UubpDNS+WRJzbk+TZJmlPucJB0oqVXSE5Iek3RxKj9H0sgyMVWa8+DUf2oa64RiXzMzMzMzM6vPivKMeQtwX/r73WoNI2IwZEkpMDIiDi7VSboI6AVsGxGLJH0R+I2k3SMilmL+V4BvSPp5RCws0+/UiLhZkoBvAvdI2rFC27HAmcDPc2VDUznA/IjoXyXGqiTtCFwOHBQRMyWtDIyo0W2JOSWtCowGdouIFyWtBjQtbVxmZmZmZmbd3XK/Yi6pJzAQ+BJZorq046wJfBE4OSIWAUTE1cACYJ+lnP9V4G7g+GpzR+YS4GXgwArN7ga2k7RRmvcjwH7ALdXvrG6nAedFxMwU06KIuHIpxulF9oXO62mcBRHxVAfFaGZmZmZm1u0s94k5cBjw+4iYBbwuacBSjrMV8HxEzC2UtwI7fIj5LwBGphXoWh4FtitXkb4sGA8ck4oOASbn4l2jsK18SK77DaVy4I4Kc+8ITKkjxrwl5oyIfwK3AX+VNFbSMEll/x9JGpG2zrfOm/vPdk5tZmZmZmbWPawIiXkLMC69H5euK207r7YdvSPn/2DCiOeAh4D/qGMs1agfywer8vlt7JC2ledeN+XqhpXKgc/XEUe9ys4ZEV8G9gUeBkYCY8p1jojREdEcEc09e6/TgWGZmZmZmZl1Hcv1M+aS1iHbZr6TpABWJku+rwXWLjRfB3itynDPAptJ6hUR/86VDwAmlutQaX5Jpxaa/gC4GfhTjVvahWzLeiX3AxtJ2hnYgw+xdb+Mx8nudWpHDBYR04Hpkq4HZgPDO2JcMzMzMzOz7mZ5XzE/Crg+IjaPiKaI2JQsCVwH+Jik7QEkbQ7sDLRVGigi3iJL6H9U2nYu6ThgTeCeds6/Z2HsmcATZNvPl6DMScBGwO+rxBjATSnO30XE25XaLoVRwLclbZNiWknSie0dRFLPdLBeSX/grx0TopmZmZmZWfezvCfmLcCEQtl4spXkLwBXp+eqbwa+HBFv1hjvTOBtYJakp4GjgcFVTmSvNH9LmbbnAcWfQxslaSowC/gEsHeFE9nzxpJ9yTC2UF583vuHNcZZTERMIzsZfqykJ4EZwJa5JmdLerH0qjKngNMkPZU+++/h1XIzMzMzM7Olpuq/EmbWMTbbaucYOeoPjQ7jfScN3rDRIZiZmZmZWTciaUpENJerW95XzM3MzMzMzMy6tOX68LdlRdK6lD+Ubd+IeL0T5nsIWK1QfGw6UK1L2qDPql6lNjMzMzMzK8OJOZCS7/7LcL7dl9VcZmZmZmZmtnzzVnYzMzMzMzOzBvKKuS0Tb7zxLr8aX+1n5pedY45cr9EhmJmZmZmZvc8r5mZmZmZmZmYN5MTczMzMzMzMrIGcmJuZmZmZmZk10HKVmEuaV6bsHEkj0/trJM2W1CZppqTv5tpNlvSUpKmSHpHUvzDOpZJekrRSrmy4pFdz451cx7xtku5P5RtKmpjmfELSHXXc4zclvS1prVzZXpJC0iG5somS9irc27QU5+WS+tSYZ1GK9fEU3ymle0/zvZm7nzZJ+6W6kPTL3DirpM9oYq7s8BTLk5KmSzq81n2bmZmZmZlZectVYl6nUyOiP9nPmx0vaYtc3bCI2Bn4KTCqVJgS0sHAC8BnC+PdlMb7NHCWpE2rzZtee6Sy7wN3RcTOEfFx4Iw64m8BHgGOKJS/CJxVpd+wiOgH9AMWALfWmGd+inUHYBBwIPDdXP29ufvpHxF/TOVvATtKWiNdDwJeKnWStDNwEXBYRGwPHApcJKlfjXjMzMzMzMysjBUxMS9ZPf19q0zdA8DGueu9gMeBK8kS4yWk3zJ/BtioHTFsRJZQl8aYVq2xpL5AT+DsMnFMBd6UNKjaGBGxEDgN2CwlyTVFxCvACOBrklRHlzuAg9L7FmBsrm4k8IOImJ3Gng2cD5xaTyxmZmZmZma2uBUxMR8lqY0sIR6Xks6iA4Bbctel5HICcJCkVYsdJG1GluxXSq5H5bZ935DKrgD+V9IkSWdJ+liN2IcC44B7gW0lbVioP48saa8qIhaRJfLb1Wqb6/McsDKwQSras7CVvW+u+ThgqKTVyVboH8rV7QBMKQzfmsoXI2mEpFZJrXPnvl5vqGZmZmZmZt3KipiYl7ayfxTYV9IeubobJM0m2xJ+BYCkHsDngVsiYi5Zkrl/rs8QSdPIVst/GhFvV5s3vYYBRMSdwJbAVWRJ8mOS1q8SewvZlwnvAeOBo/OVEfHnFPPAmp8C1LPyXU1xK/uzuTimAU0p3prPzVcSEaMjojkimnv3XvdDhmtmZmZmZtY1rYiJOQARMQ+YDOST2GFkifK1wE9S2f5AH2C6pDmpfX4b+U3p2e09gB9K+mg74/hnRNwYEceSPTv+mXLtJO0EbA3cleIYSvlt9TVXzSWtDOwEPFlvnJK2BBYB5XYYlHMb2bPkYwvlTwADCmUDyB4VMDMzMzMzs3ZaYRNzSasAuwPP5ssjIoDvAJ+UtB1Z8vvliGiKiCZgC2CQpDUL/VqB64FvtCOGfUrjSOoF9AWer9C8BTinFEdEfAz4mKTNC3H8AVibbAt5uTlXJXum+4Vaz7Tn+qwP/Ay4PH0+9RgDfC8iphfKLwLOlNSUxm4Cvg1cXOe4ZmZmZmZmlrNKowMoWFPSi7nrH5VpM0rS2UAP4G7gN8UGETFf0sXA6WTPm5+Yq3tL0n3AIcV+wAXAo5J+UGXekt3IVoovl/Qu2Zccv4iIRyrc21CyLfV5E1L5Q4Xy81jy1PUbJC0AVgP+CBxWYZ6SNdKz+KsC75J96ZD/PPdM9SXnRsTNpYuIeBG4rDhoRLRJOh24PX1J8A5wWkS0FduamZmZmZlZbap/AdVs6fXt2z/Ov/CPtRsuA8ccuV6jQzAzMzMzs25G0pSIaC5Xt7ytmFsXtfbaqzghNjMzMzMzK8OJeQdLh7xdXyheEBG7d8Jc65Jt5y/aN/0uu5mZmZmZmS3nnJh3sHRYWv9lNNfry2ouMzMzMzMz6xwr7KnsZmZmZmZmZl2BV8xtmZj7z3e5a+yrDY1hUMv6DZ3fzMzMzMysHK+Ym5mZmZmZmTWQE3NA0iJJbbnXGal8sqTWXLvmVLZ/ru08SU+l99dJ2kvSm4Xx9ivMM0PS7ZL6SHoolT0v6dVcnyZJq6SyHxbinSypOb2fI2l8ru4oSdek98MlRWn+VHZ4KjsqN9ZTuXlvTuXnSPo/SRvk+s6TtG6u7cuSXspd9+iEfx4zMzMzM7MuzVvZM/MjotIhahtIOjAiflcqiIg7gTshS2yBkRHRmq73Au6NiIOrzSPpWuCrpdPaJQ0HmiPia6XGkg4EZgFHSzozKv/o/ABJH4+IJ8rUTQeGAqUfEW8BphbaDCvFX/AacApweu7e3z9wTtI5wLyIuKhCXGZmZmZmZlaDV8xrGwWc1QnjPgBsXKNNC/Bj4HngU1XaXUzlGO8FdpO0qqSewFZAW50xjgGGSFqnzvZmZmZmZmbWTk7MM2sUtp4PydU9ACyUtHc7xtuzMF7ffKWklYF9gdsqDSBpdWA/4HZgLFmSXsmvgF0lbVWmLshWy/cHDqsw5w25WEflyueRJeffqDK3mZmZmZmZfQhOzDPzI6J/7nVTof5c4Ox2jHdvYbxnU/kaktqAl4ENgbuqjHEwMCki5gPjgcNTQl/OIrKV/TMr1I8j284+lCzJLxqWi/XUQt1lwPGSelWJtSxJIyS1Smp989+vt7e7mZn9//buPFyuqsz3+Pd3AQEFZJIZieAsSJRcUC7YgIA4IoI2aQTRvkZbBEHFoWlb2hbHRmkV26YdgL5K0KZRRAVUQBFFCBCSgDJEIoIMAjaDBITw3j9qH90WZ07OqXNS38/z1JO91157rbVrPbty3lprr5IkSX3BwHwUqup8YE3gBctZ1MAz5lsBAQ4bJu9sYM8kS4DLgQ2APYbJ/5/Ai4Atuw9U1aXAdsCGVXXdWBpcVf8DfG2Etg517klVNauqZj1x7Q3GerokSZIk9QUD89H7MPCeFVFQVT0AHAG8K8ljFuBLsg6wK/DkqppRVTPoBMZDTmevqoeBTwNHDZHlfcDfj7PJnwLegosFSpIkSdIKZ2De0f2M+ce6M1TVd4HfjbK87mfMDxikvCuBBQwebO8HnF9VD7XSvgW8Msnqw9T7JYYInqvqe1V1wRDntZ8x/0H3waq6EzgTGK5uSZIkSdI4ZOhf4JJWnKdvPbNOPG64R+on3l6zn9TT+iVJkiT1rySXV9WswY45Yi5JkiRJUg8ZmEuSJEmS1EMu5qVJsc76qzqVXJIkSZIG4Yi5JEmSJEk9ZGAuSZIkSVIPOZVdk+IPdz3Cz0++o6dt2OnQjXpavyRJkiQNxhFzSZIkSZJ6yMBckiRJkqQeMjCfQpJ8OsmRrf1zk3yxtX98kncmWZpkfut1SCvPzCSVZJ9m/8wmzw1J7mmds3OSC5PMap07I8miZnu3rvzzk+zZHFvW7C9K8u0k607G+yNJkiRJKyOfMZ9aLgZeB5yQ5H8BGwLrtI7vDBwFLK6qmUOUMRv4SfPvOVW1H3QCbeDdVfWKgYxJRmrPRe38LUsH6k9yCnAYcNxIhUmSJEmSHssR86nlp8ALm+3nAIuA+5Ksl2R14FnA3UOdnE6k/VrgUGCvJGtMbHMB+Bmw+STUI0mSJEkrJUfMp5Cq+m2SR5I8mc7o+EDQ+0LgHmAh8EdgmyTzW6ceXlUXNefcWFWLk1wIvBw4Y4Rqv5pkabP9OODR1rFdu+rZv6oWD+wkWQV4MfClMV6qJEmSJKlhYD71/JROgL0z8Ck6gfnOdALzi5s8Q01lnw3MbbbnAocwcmB+UFXNg84z5sDZrWNDTWVfswnYNwd+AXx/sIKTzAHmAGyywRYjNEOSJEmS+pNT2aeei+kE4tvRmcp+CZ0R853pBO2Dakav9wf+MckS4LPAPknWnoA2DjxjvhUQOs+YP0ZVnVRVs6pq1rprbzABzZAkSZKk6c/AfOr5KfAK4O6qWlZVdwPr0gnOhwzM6UwpX1BVW1bVjKrais5o+X4T1dCqegA4AnhXEmdfSJIkSdI4GJhPPQvprMZ+SVfaPVV1Z7O/TdfPmB1BZxr7mV1lndGkj9euXfUc0J2hqq4EFixnPZIkSZLUt1JVvW6D+sCznjKzTv7geT1tw06HbtTT+iVJkiT1rySXV9WswY45Yi5JkiRJUg/5XLAmxRM2WNURa0mSJEkahCPmkiRJkiT1kIG5JEmSJEk9ZGAuSZIkSVIP+Yy5JsWDv3uYX37+9p7U/cy3bdyTeiVJkiRpNBwxlyRJkiSphwzMJUmSJEnqoZUqME9yf9f+oUk+19qfk+SXzevSJLu0ji1JsmFrf7ckZzfbGyc5O8lVSa5J8t0mfUaSpUnmt16HjNDGmUkqyT5d6ZXk+Nb+u5Mc22wfm+SWpvzrk/x3kmePUM+FSWa19mckWdTa36V5DwbejzmtY8c27XlqK+3IJm1W6/1a2LruzwzXHkmSJEnS4PrmGfMkrwDeAuxSVXcmeT7wzSQ7VtVtI5z+IeD7VfWvTVnPbR1bXFUzx9CU2cBPmn/PaaU/BLwmyUer6s5Bzvt0Vf1LU/9fA+cn2a6qfjeGumnO3wT4GvDqqrqi+ULi3CS3VNV3mmwLgQOBDzf7rwWu7ipq9yHaKkmSJEkapZVqxHwE7wWOHggkq+oK4BTgsFGcuylw88BOVS0YTwOShE6AeyiwV5I1WocfAU4CjhqpnKo6HTgP+JvxtIPONZ/cvAc078l7gPe18nwT2Ldp9zbAPYBBuCRJkiStYCtbYL5me1o5nZHuAc8BLu/KP69JH8mJwJeSXJDkmCSbtY5t0zWVfddhytkZuLGqFgMXAi8fpJ6DkjxxFG26AnjmCHm+2novvttKH817cS/wmyTb0hk5P32Q8i9oXfdjvlBoHh2Yl2Te7++/e6TrkSRJkqS+tLJNZV/anlae5FBg1tDZ/0INlVZV5ybZGtgHeClwZROwwtimss8G5jbbc4FDgDP+VFnVvUlOBY4Alo5QVkZR30FVNQ86z5gDZ4+ynQPm0gnKXwK8GHhj1/Fhp7JX1Ul0ZgGw7VbbD/b+SpIkSVLfW9lGzIdzDbBDV9oO/Pm56buA9VrH1qc1dbuq7q6qr1XVwcBlwIvGUnmSVYD9gX9MsgT4LLBPkrW7sp4A/C3whBGKfB7wi7G0oWWk92LA2cDBwE1Vde8465IkSZIkDaOfAvNPAB9PsgF0Vken86z355vjF9IJQgeC6NcDFzT7eyR5fLO9NrANcNMY638xsKCqtqyqGVW1FZ3R8v3amarqbuDrdILzQSXZH9gbOG2MbRhwInBo8x7QvCcfp/MetdvyAJ1n848bZz2SJEmSpBGsbFPZh1RVZyXZHPhpkgLuA15fVbc2Wf4Z+LckV9GZJn4O8P+aYzsAn0vyCJ0vM75YVZc108O3aZ7hHvDlqhrsp8NmA2d2pZ0B/B1walf68cDbu9KOSvJ6OiPpi4A9xrMiO0BV3dqU9R/NFw0BTqiqbw+Sd+5jCvizC5Isa7YXVNWwPxUnSZIkSXqsVPnorybetlttX//13vN6Uvcz37ZxT+qVJEmSpAFJLq+qQddA66ep7JIkSZIkTTl9M5V9MiX5ObB6V/LBVbVwAuo6E3hKV/J7q+rcFV3X8ljjSas5ci1JkiRJgzAwnwBVtdMk1rXfyLkkSZIkSVOVU9klSZIkSeohR8w1KR6+7WFu/fhvJ6WuTd+72aTUI0mSJEkrgiPmkiRJkiT1kIG5JEmSJEk95FT2aSjJMqC9wvtcOqvAr1FV72/lmwmcVlXPSrIEuA9Y1hz+cVUdkeRkYC9g66p6KMmGwDzglcB/NnmfDNzTvO4E9gZOAPYACngQeF1V3TgBlytJkiRJKzUD8+lpaVXNbCckeTpwDvD+VvKBwGmt/d2r6s5BylsGvAn4t4GE5qfdZjZlnwycXVX/1ezPBjYDnltVjybZAvjD8l6UJEmSJPUjp7KvJKrqOuD3Sdo/1fY6/jIwH8oJwFFJRvtFzabArVX1aFP3zVX1+zE1WJIkSZIEGJhPV2smmd96/XWTfhqdUXKSvAC4u6qub513Qeuco1rpNwE/AQ4eZf1fB17ZlHN8kuct5/VIkiRJUt9yKvv09Jip7I3TgZ8meRePncYOQ09lB/go8C3gOyNVXlU3J3kGnWfM9wB+mOS1VfXDdr4kc4A5AJuvu/lIxUqSJElSXzIwX4lU1W+S3Aj8FbA/8MIxnHt9kvl0pr+PJv9DwPeA7yW5HXg18MOuPCcBJwFsv8X2Ndq2SJIkSVI/MTBf+ZwGfBr4VVXdPMZzj2MUI+ZJng/cVlW/TfK/gOcCC8bcUkmSJEmSz5hPU93PmH+sdewbwHMYfNG39jPmp3YfrKqrgStGUf9GwLeTLKITkD8CfG7slyFJkiRJcsR8GqqqVYY5diew2iDpM4bIf2jX/mtGkeccOj/NJkmSJElaTo6YS5IkSZLUQ46Ya1KstslqbPrezXrdDEmSJEmachwxlyRJkiSphwzMJUmSJEnqIQNzSZIkSZJ6yGfMNSkevv1BbvvULya8nk3e+awJr0OSJEmSViRHzCVJkiRJ6iEDc0mSJEmSeqjvAvMkr05SSZ7Z7M9IsjTJ/CTXJDk1ycbN/vwktyW5pbX/uNGW3Sq/khzeSvtckkOb7ZOT3JjkqiTXNfVvMcI1LEmysHldk+TDSdYY5HoGXoc0x97UnLMgyaIk+7bacECzvWqSjyS5vnX+Ma26K8nxrf13Jzl2LH0gSZIkSfqzvgvMgdnAT5p/ByyuqpnAdsAWwJ5VNbNJ+wLw6YH9qvrjGMsGuAN4xzBB/dFVtT3wDOBK4PzhvgBo7F5V2wE7AlsD/959Pa3XQLB/DLBLVT0XeAGwYJByPwxsBmzXXP+uwGqt4w8Br0my4QjtkyRJkiSNQl8F5knWAnYB/hY4sPt4VS0DLgU2X8Fl/w74IfCG4cqojk8DtwEvHU29VXU/8Fbg1UnWHybrRsB9wP0D51XVjV3X8HjgzcDhVfVgk+++qjq2le0R4CTgqNG0T5IkSZI0vL4KzIF9gXOq6jrgriQ7tA8208F3As5Z0WUDHwfenWSVUZR1BfDMEXM1qupe4EbgaU3SNl1T2XcFrgJuB25M8pUkrxykqKcCN1XVfSNUeSJwUJInDpcpyZwk85LMu+sPd4/2ciRJkiSpr/RbYD4bmNtsz+XPU863STKfTuB6a1UNNsV7vGUDUFW/An4O/M0oyso46m+f0z2V/aJmNsA+wAHAdcCnR3o2PMkbm8D+N0m2HEhvvgg4FThiuPOr6qSqmlVVszZ4wnCD+ZIkSZLUv/rmd8ybad57ANslKWAVoOiM/i6uqpnNc9MXJ3lVVZ21vGUnObor60eA/wJ+NEKRz6Mz9X209a8NzKATcA85il1VRWeq/qVJvg98BTi2leUG4MlJ1m6msH8F+EqSRc01tZ1AZ2T/K6NtpyRJkiTpsfppxPwA4D+raquqmlFVW9KZ/t0eCb4TeB/w/hVU9q7tTFX1S+AaYLBp5KTjCGBTRjmdvnm2/fPAN6vq98Pk2yzJ81tJM4Ffd7XvAeBLwOdaq7yvAjxmIbqquhv4Op1n6iVJkiRJ49RPgfls4MyutDN4bBD+TeDxzXPZy1t29+rsAMfRWfm97ZNJrqIz4v2/6ay4Ptzq7wAXNCPZlwI3AW9pHet+xvwIOiur/0uSXzbT9v8aeMcg5R4D3AosSnIlcBFwCvDbQfIeD7g6uyRJkiQth3RmN0sTa/stt61zj/rGhNezyTufNeF1SJIkSdJYJbm8qmYNdqyfRswlSZIkSZpy+mbxtxUhyQYMvijbi6vqrgmo7+fA6l3JB1fVwhVd10RbbeM1HM2WJEmSpEEYmI9BE3zPnMT6dpqsuiRJkiRJveFUdkmSJEmSesgRc02Kh2//A7efcOmE1rHxkTtOaPmSJEmSNBEcMZckSZIkqYcMzCVJkiRJ6iED80mUZFmS+UkWJflGksc36asm+V2Sj3XlvzDJtUmuSnJZkpmtY0uSLGzKm5/kM036yUluSbJ6s79hk3e7Vt67k9zYbP8gyYwki5r8uyWpJK9s1XV2kt1abf1Ikutb5R0z4W+eJEmSJK2kDMwn19KqmllV2wJ/BN7apO8FXAe8Nkm6zjmoqrYHPg98suvY7k15M6vqiFb6MuBN7YxVtXAgL3AWcHSzv+cg7bwZGCrY/jCwGbBdU9auwGrDXbQkSZIkaWgG5r1zEfDUZns28K/ATcALh8j/M2DzUZZ9AnBUkvEu7ncVcE+SvdqJzQj/m4HDq+pBgKq6r6qOHWc9kiRJktT3DMx7oAmYXwosTLIGsCfwbeA0OkH6YPYBvtmVdkFrOvlRrfSbgJ8ABy9HM48D/qEr7anATVV133KUK0mSJElq8efSJteaSeY32xcBXwJeBVxQVUuTnAF8IMmRVbWsyffVJI8D1gJmdpW3e1XdOURdHwW+BXxnPA2tqh8nIckuQ+VJ8kbgHcAGwM5V9Zuu43OAOQBbrLfJeJohSZIkSSs9R8wn19LWM+GHV9Uf6YyQ75lkCXA5nSB3j9Y5BwFbA6cAnx1tRVV1PTAfeN1ytLd71PwG4MlJ1m7q+ErznPk9wCqDtOGkqppVVbPWf8K6y9EMSZIkSVp5GZj3UJJ16Cye9uSqmlFVM4DD6JrOXlUFfAB4QZJnjqGK44B3j7d9VXUesB7w3Gb/ATqj/J9rpuCTZBXgceOtQ5IkSZL6nYF5b+0HnF9VD7XSvgW8cuDnzgZU1VLgeODoVnL7GfNTuwuvqquBK5azjccBW7b2jwFuBRYluZLOlPxTgN8uZz2SJEmS1JfSGYyVJtb2Wz6rznvXKRNax8ZH7jih5UuSJEnSeCW5vKpmDXbMEXNJkiRJknrIVdk1KVbb+AmOaEuSJEnSIBwxlyRJkiSphwzMJUmSJEnqIQNzSZIkSZJ6yGfMNSkeueM+7vjs+RNW/kaH7zFhZUuSJEnSRHLEXGep8b4AAA3LSURBVJIkSZKkHjIwn4aSbJJkbpLFSS5P8t0kT0/ynCTnJ7k2yfVJPpAkzTmHJqkke7bKeXWTdkCzf2GSWc32Wkn+vVXHhUl2ao4dk+TqJAuSzB9IlyRJkiSNnVPZp5km0D4TOKWqDmzStgc2Bk4G/q6qzkvyeOAM4G3Aic3pC4EDgR80+7OBq4ao6ovAjcDTqurRJE8Bnp3khcArgOdX1UNJNgQet4IvU5IkSZL6hiPm08/uwMNV9YWBhKq6Cng6cHFVndekPQC8HXhf69yLgB2TrJZkLeCpwPzuCpJsA+wE/ENVPdqUd2NVfQfYFLizqh5q0u+sqt9OwHVKkiRJUl8wMJ9+tgUuHyT9Od3pVbUYWCvJOgNJdEbLXwLsC5w1RB3PAeZX1bJBjp0HbJnkuiSfT/JX47gGSZIkSVLDwLz/zKUznf1A4LSxnlxV9wM7AHOA3wGnJzl0sLxJ5iSZl2TeXff/z/hbLEmSJEkrMQPz6edqOoFxt2u605NsDdxfVfcOpFXVpcB2wIZVdd0wdWyfZJXBDlbVsqq6sKo+SGe6/P5D5DupqmZV1awN1lp3pOuSJEmSpL5kYD79nA+snmTOQEKS5wLXArsMrLqeZE3gM8AnBinjfcDfD1VBMwV+HvBPrVXdZyR5eZJnJHlaK/tM4NfLeU2SJEmS1LcMzKeZqipgP2DP5qfMrgY+CtxG57nxf0hyLZ0V2C8DPjdIGd+rqgtGqOr/0lnp/YYki+is+H4HsBZwSpJrkiwAng0cuyKuTZIkSZL6kT+XNg01q6C/bojDuw1xzsl0guvu9ENb27u1tu8F3jxEHTuPpp2SJEmSpJE5Yi5JkiRJUg8ZmEuSJEmS1ENOZdekWHWjtdno8D163QxJkiRJmnIcMZckSZIkqYcMzCVJkiRJ6iGnsmtSPHLH/3DHiWet8HI3OuxVK7xMSZIkSZpMjphLkiRJktRDBuaSJEmSJPWQgfk0lGRZkvlJrkpyRZKdm/QZSZY2xwZeh7TOm5mkkuzTSpuRZFFX+ccmeXeSE5syrukq9+gkp7fyr5NkcZKtJ+P6JUmSJGll4jPm09PSqpoJkOQlwEeBv2qOLR44NojZwE+af88ZqZKqOqypYwZwdqvOABcn2bOqfgB8CPhyVf1q3FckSZIkSX3KwHz6Wwf4/UiZmmD6tcBewEVJ1qiqB8dTYVVVkrcCX0tyKPBiYIfxlCVJkiRJ/c7AfHpaM8l8YA1gU2CP1rFtmmMDDq+qi4CdgRuranGSC4GXA2eMtwFVtSDJucAPgX2r6o/jLUuSJEmS+pmB+fTUnsr+QuDUJNs2x4aayj4bmNtszwUOoROY1xB1DJXediLw0qq6cLCDSeYAcwC2WO9JoyhOkiRJkvqPgfk0V1U/S7IhMGTkm2QVYH9g3yTHAAE2SLI2cBewXtcp6wM3jqL6R5vXUG07CTgJYOaTnzqaQF+SJEmS+o6rsk9zSZ4JrEInwB7Ki4EFVbVlVc2oqq3ojJbvV1X3A7cm2aMpb31gHzqLxEmSJEmSJpgj5tPTmq3nyAO8oaqWddZ3e8wz5l8Gngec2VXGGcDfAafSmdZ+YpJPNcf+qaoWT1jrJUmSJEl/YmA+DVXVKkOkLwHWHGUZZwFnNdvXALsPk3cJsO1o0yVJkiRJo+dUdkmSJEmSesgRc02KVTdal40Oe1WvmyFJkiRJU44j5pIkSZIk9VCq/BUrTbwk9wHX9rodGtaGwJ29boSGZR9NbfbP1GcfTX320dRm/0x99tHUtlVVDfoz105l12S5tqpm9boRGlqSefbR1GYfTW32z9RnH0199tHUZv9MffbR9OVUdkmSJEmSesjAXJIkSZKkHjIw12Q5qdcN0Ijso6nPPpra7J+pzz6a+uyjqc3+mfrso2nKxd8kSZIkSeohR8wlSZIkSeohA3NNuCT7JLk2yQ1J3tfr9vSjJFsmuSDJNUmuTvKOJv3YJLckmd+8XtY65/1Nn12b5CW9a33/SLIkycKmL+Y1aesn+X6S65t/12vSk+QzTR8tSPL83rZ+5ZfkGa17ZX6Se5Mc6X3UO0m+nOSOJItaaWO+Z5K8ocl/fZI39OJaVlZD9NEnk/yy6Yczk6zbpM9IsrR1L32hdc4OzefjDU0/phfXszIaoo/G/Lnm33sTY4j+Ob3VN0uSzG/SvYemMaeya0IlWQW4DtgLuBm4DJhdVdf0tGF9JsmmwKZVdUWStYHLgVcDrwPur6p/6cr/bOA0YEdgM+AHwNOratnktry/JFkCzKqqO1tpnwDurqqPNX/orFdV723+SDoceBmwE/CvVbVTL9rdj5rPtlvovPdvxPuoJ5K8CLgfOLWqtm3SxnTPJFkfmAfMAorO5+MOVfX7HlzSSmeIPtobOL+qHknycYCmj2YAZw/k6yrnUuAI4OfAd4HPVNX3JucqVm5D9NGxjOFzrTns33sTYLD+6Tp+PHBPVX3Ie2h6c8RcE21H4Iaq+lVV/RGYC+zb4zb1naq6taquaLbvA34BbD7MKfsCc6vqoaq6EbiBTl9q8u0LnNJsn0LnC5WB9FOr4xJg3eYLGE2OFwOLq+rXw+TxPppgVfVj4O6u5LHeMy8Bvl9VdzfB+PeBfSa+9f1hsD6qqvOq6pFm9xJgi+HKaPppnaq6pDojSqfy537VchriPhrKUJ9r/r03QYbrn2bU+3V0viwZkvfQ9GBgrom2OfCb1v7NDB8QaoI136Y+j843pgBvb6YTfnlgyif2W68UcF6Sy5PMadI2rqpbm+3bgI2bbfuotw7kL/8Q8j6aOsZ6z9hPvfUmoD1q95QkVyb5UZJdm7TN6fTLAPtocozlc837qDd2BW6vqutbad5D05SBudRHkqwFnAEcWVX3Av8GbAPMBG4Fju9h8wS7VNXzgZcChzXT1/6k+Zbb5496LMnjgFcB32iSvI+mKO+ZqS3JMcAjwFebpFuBJ1fV84B3Al9Lsk6v2tfn/FybHmbzl18Sew9NYwbmmmi3AFu29rdo0jTJkqxGJyj/alX9N0BV3V5Vy6rqUeA/+PM0W/utB6rqlubfO4Az6fTH7QNT1Jt/72iy20e981Lgiqq6HbyPpqCx3jP2Uw8kORR4BXBQ8wUKzfTou5rty4HFdJ5fvoW/nO5uH02wcXyueR9NsiSrAq8BTh9I8x6a3gzMNdEuA56W5CnNKNOBwFk9blPfaZ5B+hLwi6r6VCu9/UzyfsDAip9nAQcmWT3JU4CnAZdOVnv7UZInNAvzkeQJwN50+uMsYGCV6DcA32q2zwIOSccL6Cz8ciuaDH8xQuF9NOWM9Z45F9g7yXrNdN29mzRNkCT7AO8BXlVVD7TSn9QsrEiSrencM79q+uneJC9o/j87hD/3qybAOD7X/Htv8u0J/LKq/jRF3Xtoelu11w3Qyq1ZcfXtdP7IWQX4clVd3eNm9aP/AxwMLBz4SQ3g74HZSWbSmeq5BHgLQFVdneTrwDV0phke5krSE25j4Mzm10tWBb5WVeckuQz4epK/BX5NZ5EX6Kyo+jI6C+88QGdlcE2w5kuTvWjulcYnvI96I8lpwG7AhkluBj4IfIwx3DNVdXeSf6YTWAB8qKpGuxCWRjBEH70fWB34fvOZd0lVvRV4EfChJA8DjwJvbfXF24CTgTXpPJPuatIryBB9tNtYP9f8e29iDNY/VfUlHrvWCXgPTWv+XJokSZIkST3kVHZJkiRJknrIwFySJEmSpB4yMJckSZIkqYcMzCVJkiRJ6iEDc0mSJEmSesjAXJIkTTlJNkkyN8niJJcn+W6Spw+Rd90kb5vsNkqStKIYmEuSpCklnR+3PhO4sKq2qaod6Pz29cZDnLIund/oneh2rTrRdUiS+pOBuSRJmmp2Bx6uqi8MJFTVVcCVSX6Y5IokC5Ps2xz+GLBNkvlJPgmQ5OgklyVZkOSfBspJ8oEk1yb5SZLTkry7SZ+Z5JIm/5lJ1mvSL0xyQpJ5wDFJbkyyWnNsnfa+JEnj5Te/kiRpqtkWuHyQ9AeB/arq3iQbApckOQt4H7BtVc0ESLI38DRgRyDAWUleBCwF9ge2B1YDrmjVcypweFX9KMmHgA8CRzbHHldVs5qyZwAvB74JHAj8d1U9vAKvXZLUhwzMJUnSdBHgI02Q/SiwOYNPb9+7eV3Z7K9FJ1BfG/hWVT0IPJjk2wBJngisW1U/avKfAnyjVd7pre0vAu+hE5i/EXjzCrguSVKfMzCXJElTzdXAAYOkHwQ8Cdihqh5OsgRYY5B8AT5aVf/+F4nJkYPkHY0/DGxU1cVJZiTZDVilqhaNs0xJkv7EZ8wlSdJUcz6wepI5AwlJngtsBdzRBOW7N/sA99EZDR9wLvCmJGs1526eZCPgYuCVSdZojr0CoKruAX6fZNfm/IOBHzG0U4GvAV9ZzuuUJAlwxFySJE0xVVVJ9gNOSPJeOs+WLwGOBT6TZCEwD/hlk/+uJBcnWQR8r6qOTvIs4GedBd65H3h9VV3WPJO+ALgdWAjc01T7BuALSR4P/IrONPWhfBX4MHDaCrxsSVIfS1X1ug2SJEmTIslaVXV/E4D/GJhTVVeMsYwDgH2r6uAJaaQkqe84Yi5JkvrJSUmeTefZ9FPGEZR/Fngp8LKJaJwkqT85Yi5JkiRJUg+5+JskSZIkST1kYC5JkiRJUg8ZmEuSJEmS1EMG5pIkSZIk9ZCBuSRJkiRJPWRgLkmSJElSD/1/r37BF4F0UCYAAAAASUVORK5CYII=\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["**Summery-2:** \n",">As per our analyses we observed that the \"Family\" contain the highest number of applications on playstore.\n",">From above plotted bar ,we con conclude that out of 33 categories, the top most category is \"Family\" followed by \"Game\" and the least is \"Beauty\""],"metadata":{"id":"Ugd8h55cHVSH"}},{"cell_type":"markdown","source":["###**Problem 3: What is the Paid and Free apps ratio from all apps ?**"],"metadata":{"id":"rVjw2P6OEOqy"}},{"cell_type":"code","source":["plt.figure(figsize=(15,10))\n","x=playstore_df1.Type.value_counts()\n","label=[\"Free\",\"Paid\",\"NaN\"]\n","plt.pie(x,labels=label,autopct=\"%1.2f%%\",shadow=True, explode=[0, 0.2, 0.4], startangle=45)\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":575},"id":"wVW188GoEJIl","executionInfo":{"status":"ok","timestamp":1667446374590,"user_tz":-330,"elapsed":20,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"273cd39a-71ae-425b-f544-02e156bca6d1"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1080x720 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["**Summery-3:**\n","\n","A)Nan value in type column are **0.01%**\n","\n","B)Free apps in playstore are **92.60%**\n","\n","C)Paid apps in playstore are **7.39%**\n","\n",">So, we can clearly see that only 7.39% are paid apps available on playstore and the rest 92.60% are free."],"metadata":{"id":"WACRom_FItIs"}},{"cell_type":"markdown","source":["###**Problem 4: What are the updatation details of apps by year ?**"],"metadata":{"id":"mHTzIQRNYbbq"}},{"cell_type":"code","source":["plt.figure(figsize=(15,5))\n","plt.title(\"Apps updatation by years\", fontsize=20)\n","ax = plt.hist(playstore_df3.LastUpdated_Year, color=\"#4B0751\")\n","plt.tick_params(left='on', bottom='on') \n","plt.xlabel(\"Year\")\n","plt.ylabel(\"Number of apps updated\");\n","plt.show() "],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":355},"id":"KavkhF6CYcNh","executionInfo":{"status":"ok","timestamp":1667446375991,"user_tz":-330,"elapsed":1420,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"b4c8d45a-3059-4cef-8854-39c368955f23"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1080x360 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["**Summery-4:** \n",">Here, we are analysing the added apps and updation of apps on play store. So, its clealry visible that between time period 2017-2018, there are very wide range of app updation and addition occur."],"metadata":{"id":"QBUzKDkfOQJv"}},{"cell_type":"markdown","source":["###**Problem 5: How the App pricing trend across popular categories ?**"],"metadata":{"id":"XYpIzvCYZobQ"}},{"cell_type":"code","source":["plt.figure(figsize=(15,10))\n","\n","# Select a few popular app categories\n","popular_app_cats = playstore_df3[playstore_df3.Category.isin(['GAME', 'FAMILY', 'PHOTOGRAPHY', 'MEDICAL', 'TOOLS', 'FINANCE','LIFESTYLE','BUSINESS'])]\n","\n","# Examine the price trend by plotting Price vs Category\n","ax = sns.stripplot(x = popular_app_cats['Price'], y = popular_app_cats['Category'], jitter=True, linewidth=1 , size=8)\n","ax.set_title('App pricing trend across popular categories',size=20)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":645},"id":"xXCxaO5nZoml","executionInfo":{"status":"ok","timestamp":1667446375992,"user_tz":-330,"elapsed":28,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"9481435e-292d-41a4-ba47-52e523c59e45"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Text(0.5, 1.0, 'App pricing trend across popular categories')"]},"metadata":{},"execution_count":144},{"output_type":"display_data","data":{"text/plain":["<Figure size 1080x720 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["**Summery-5:**\n","\n",">From the above analyses as we find that there are different categories of apps demand different price ranges.\n","\n",">Like in simple & easy apps in category FAMILY LIFESTYLE, FINANCE and MEDICAL are high in price.\n","\n",">All Games apps are comparatively low in price.So, it could be the reason thatit's have more downloads."],"metadata":{"id":"yZVG1NcvQxDu"}},{"cell_type":"markdown","source":["### **Problem-6: What are the Sentiment Data Across the All Reviews ?**"],"metadata":{"id":"oyw-IeHdJIZR"}},{"cell_type":"code","source":["plt.figure(figsize=(15,10))\n","pd.value_counts(user_reviews_df1[\"Sentiment\"]).plot(kind = 'pie',  autopct='%1.2f%%',shadow=True, explode=[0, 0.05, 0.05], startangle=45 )\n","plt.title(\"Sentiment data across database\",size=20)\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":596},"id":"ggMuerZlIdYd","executionInfo":{"status":"ok","timestamp":1667446375993,"user_tz":-330,"elapsed":21,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"c0b31d99-d86d-4016-bfed-b8fa146c86d4"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1080x720 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["**Summery-6:**\n",">From the above pie chart, we can say that the most of the reviews of the apps  by the useron playstore is received positive reveiws(64.03%).\n","\n",">While, some of the apps have received negative reviews (approx.15%)."],"metadata":{"id":"cx1nqtBISoyv"}},{"cell_type":"markdown","source":["###**Problem 7: Is there any correlation between Sentiment polarity/Sentiment subjectivity with Installs/Rating/Reviews/Size/Price/LastUpdated_Day/LastUpdated_Month/LastUpdated_Year ?**"],"metadata":{"id":"Jad8pbQIcI8y"}},{"cell_type":"code","source":["## Merging both the dataset for determining correlation\n","df_merge= pd.merge(playstore_df3, user_reviews_df2, on=\"App\", how=\"inner\")\n","df_merge.corr()"],"metadata":{"id":"65qNVALUEUAA","colab":{"base_uri":"https://localhost:8080/","height":363},"executionInfo":{"status":"ok","timestamp":1667446375995,"user_tz":-330,"elapsed":22,"user":{"displayName":"Mohd Ashif Khan","userId":"16992096858502797395"}},"outputId":"3a63004e-38e1-49b2-bf59-92afc95da695"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                          Rating   Reviews      Size  Installs     Price  \\\n","Rating                  1.000000  0.040220  0.102806  0.023791 -0.012408   \n","Reviews                 0.040220  1.000000  0.121124  0.627708 -0.016173   \n","Size                    0.102806  0.121124  1.000000  0.011344 -0.002139   \n","Installs                0.023791  0.627708  0.011344  1.000000 -0.021245   \n","Price                  -0.012408 -0.016173 -0.002139 -0.021245  1.000000   \n","LastUpdated_Day        -0.069589 -0.091215 -0.044769 -0.147911 -0.026048   \n","LastUpdated_Month       0.104380  0.061841  0.021556  0.092404  0.030752   \n","LastUpdated_Year        0.255025  0.070060  0.190921  0.084872 -0.058976   \n","Sentiment_Polarity      0.111297 -0.072013 -0.119397 -0.054830  0.023385   \n","Sentiment_Subjectivity  0.077030 -0.005692  0.013816 -0.004981 -0.000345   \n","\n","                        LastUpdated_Day  LastUpdated_Month  LastUpdated_Year  \\\n","Rating                        -0.069589           0.104380          0.255025   \n","Reviews                       -0.091215           0.061841          0.070060   \n","Size                          -0.044769           0.021556          0.190921   \n","Installs                      -0.147911           0.092404          0.084872   \n","Price                         -0.026048           0.030752         -0.058976   \n","LastUpdated_Day                1.000000          -0.164284          0.020084   \n","LastUpdated_Month             -0.164284           1.000000         -0.035710   \n","LastUpdated_Year               0.020084          -0.035710          1.000000   \n","Sentiment_Polarity            -0.008405           0.005580          0.015867   \n","Sentiment_Subjectivity        -0.013321          -0.017000         -0.013414   \n","\n","                        Sentiment_Polarity  Sentiment_Subjectivity  \n","Rating                            0.111297                0.077030  \n","Reviews                          -0.072013               -0.005692  \n","Size                             -0.119397                0.013816  \n","Installs                         -0.054830               -0.004981  \n","Price                             0.023385               -0.000345  \n","LastUpdated_Day                  -0.008405               -0.013321  \n","LastUpdated_Month                 0.005580               -0.017000  \n","LastUpdated_Year                  0.015867               -0.013414  \n","Sentiment_Polarity                1.000000                0.271279  \n","Sentiment_Subjectivity            0.271279                1.000000  "],"text/html":["\n","  <div id=\"df-590cfed5-3b90-40b5-b31f-2d6c50819e91\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody 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<td>0.111297</td>\n","      <td>0.077030</td>\n","    </tr>\n","    <tr>\n","      <th>Reviews</th>\n","      <td>0.040220</td>\n","      <td>1.000000</td>\n","      <td>0.121124</td>\n","      <td>0.627708</td>\n","      <td>-0.016173</td>\n","      <td>-0.091215</td>\n","      <td>0.061841</td>\n","      <td>0.070060</td>\n","      <td>-0.072013</td>\n","      <td>-0.005692</td>\n","    </tr>\n","    <tr>\n","      <th>Size</th>\n","      <td>0.102806</td>\n","      <td>0.121124</td>\n","      <td>1.000000</td>\n","      <td>0.011344</td>\n","      <td>-0.002139</td>\n","      <td>-0.044769</td>\n","      <td>0.021556</td>\n","      <td>0.190921</td>\n","      <td>-0.119397</td>\n","      <td>0.013816</td>\n","    </tr>\n","    <tr>\n","      <th>Installs</th>\n","      <td>0.023791</td>\n","      <td>0.627708</td>\n","      <td>0.011344</td>\n","      <td>1.000000</td>\n","      <td>-0.021245</td>\n","      <td>-0.147911</td>\n","      <td>0.092404</td>\n","      <td>0.084872</td>\n","      <td>-0.054830</td>\n","      <td>-0.004981</td>\n","    </tr>\n","    <tr>\n","      <th>Price</th>\n","      <td>-0.012408</td>\n","      <td>-0.016173</td>\n","      <td>-0.002139</td>\n","      <td>-0.021245</td>\n","      <td>1.000000</td>\n","      <td>-0.026048</td>\n","      <td>0.030752</td>\n","      <td>-0.058976</td>\n","      <td>0.023385</td>\n","      <td>-0.000345</td>\n","    </tr>\n","    <tr>\n","      <th>LastUpdated_Day</th>\n","      <td>-0.069589</td>\n","      <td>-0.091215</td>\n","      <td>-0.044769</td>\n","      <td>-0.147911</td>\n","      <td>-0.026048</td>\n","      <td>1.000000</td>\n","      <td>-0.164284</td>\n","      <td>0.020084</td>\n","      <td>-0.008405</td>\n","      <td>-0.013321</td>\n","    </tr>\n","    <tr>\n","      <th>LastUpdated_Month</th>\n","      <td>0.104380</td>\n","      <td>0.061841</td>\n","      <td>0.021556</td>\n","      <td>0.092404</td>\n","      <td>0.030752</td>\n","      <td>-0.164284</td>\n","      <td>1.000000</td>\n","      <td>-0.035710</td>\n","      <td>0.005580</td>\n","      <td>-0.017000</td>\n","    </tr>\n","    <tr>\n","      <th>LastUpdated_Year</th>\n","      <td>0.255025</td>\n","      <td>0.070060</td>\n","      <td>0.190921</td>\n","      <td>0.084872</td>\n","      <td>-0.058976</td>\n","      <td>0.020084</td>\n","      <td>-0.035710</td>\n","      <td>1.000000</td>\n","      <td>0.015867</td>\n","      <td>-0.013414</td>\n","    </tr>\n","    <tr>\n","      <th>Sentiment_Polarity</th>\n","      <td>0.111297</td>\n","      <td>-0.072013</td>\n","      <td>-0.119397</td>\n","      <td>-0.054830</td>\n","      <td>0.023385</td>\n","      <td>-0.008405</td>\n","      <td>0.005580</td>\n","      <td>0.015867</td>\n","      <td>1.000000</td>\n","      <td>0.271279</td>\n","    </tr>\n","    <tr>\n","      <th>Sentiment_Subjectivity</th>\n","      <td>0.077030</td>\n","      <td>-0.005692</td>\n","      <td>0.013816</td>\n","      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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":["**Summery-7:** We add Both the data frames that are related to each other. In these coorelation heatmap some values are negativa and some are postive.So, for that purpose we merge the both dataframes to obtain the most appropriate results and yes, we observed that :"],"metadata":{"id":"gSZ8XNm8fCJh"}},{"cell_type":"markdown","source":["  >1.**Size and sentiment polarity are negatively correlated(-0.12) :** There are lots of reason of disliking those apps which have large size. First of all, it consumes more storage, takes more RAM and needs a high speed connection for its execution."],"metadata":{"id":"MCUjvx2Cf2Fw"}},{"cell_type":"markdown","source":[">2.There is a **positive correlation** between **reviews and number of installs(0.63)** because as the reviews increase, people start noticing the app and install them."],"metadata":{"id":"nndPtSFOhHPp"}},{"cell_type":"markdown","source":[">3.There is a **slightly positive correlation(0.27) between sentiment polarity and sentiment subjectivity** that means if the users shares  positive reviews then there is chance that users are sharing their personal opinion and not genuine information."],"metadata":{"id":"oQ1dYjOIh3Jb"}},{"cell_type":"markdown","source":["#**Conclusion**"],"metadata":{"id":"HepHXTO5irVx"}},{"cell_type":"markdown","source":["Through exploratory data analysis we have observed some trends and have made some assumptions that might lead to app success among the users in the play store.\n","\n","• Android Version Supported Apps: - **60% app's support only on android 4.0** and above version.\n","\n","• Categories of app in play store :- most like or preferred by customers **family apps and gaming apps**\n","\n","• Percentage of free apps :-   **92.60% apps are free** available on the play store \n","\n","• Percentage of Paid apps: - **7.39% apps are paid** apps.\n","\n","• Updatation details of apps by year: - Latest **6000+ apps updated in 2018** which is the **maximum count**.\n","\n","• App pricing in popular categories: - we see **price upto 400 dollar** & **mostly medical and family apps are paid**.\n","\n","• Sentiments of reviews: - **64.03% customer gave positive feedbacks** while the **negative feedback is 21.28%**."],"metadata":{"id":"Xciq2_OCXQnG"}}]}