GooglePlayStoreAnalysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# An analysis on Google Play Store Apps\n",
    "\n",
    "In this project, I will try to explore, visualize and answer some of the basic questions from the **Google Play Store Dataset**. I will be applying some of the analysis techniques to analyze the dataaset with help of tools like:- `Python`, `Pandas`, `Matplotlib`, `Numpy`, `Seaborn`, and `Jovian`. This project is being done as a *final course project* while pursuing the course [Data Analysis with Python: Zero to Pandas](zerotopandas.com) provided by [Jovian.ml](https://www.jovian.ml/) in collaboration with [freecodecamp](https://www.freecodecamp.org/). While doing this project I have learned many techniques and gained various skills in Data Analysis Domain.\n",
    "\n",
    "**Dataset** :- The dataset is being taken from Kaggle and it can be downloaded from here[Dataset](https://www.kaggle.com/lava18/google-play-store-apps)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Downloading the Dataset\n",
    "\n",
    "The dataset is being downloaded from here:- [Link](https://www.kaggle.com/lava18/google-play-store-apps)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "project_name = \"GooglePlayStoreAnalysis\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Preparation and Cleaning\n",
    "\n",
    "Data preparation is the process of cleaning and transforming raw data prior to processing and analysis. It is an important step prior to processing and often involves reformatting data, making corrections to data and the combining of data sets to enrich data. Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Imports\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import jovian\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load the dataset as dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Before running this project make sure that you have extracted the dataset after downloading it from kaggle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df =  pd.read_csv('googleplaystore.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "rows = googlestore_df.shape[0]\n",
    "column = googlestore_df.shape[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's print the number of rows and the column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 10841 Rows and 13 Columns in the dataset\n"
     ]
    }
   ],
   "source": [
    "print('There are {} Rows and {} Columns in the dataset'.format(rows, column))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <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>"
      ],
      "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  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "googlestore_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10841 entries, 0 to 10840\n",
      "Data columns (total 13 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   App             10841 non-null  object \n",
      " 1   Category        10841 non-null  object \n",
      " 2   Rating          9367 non-null   float64\n",
      " 3   Reviews         10841 non-null  object \n",
      " 4   Size            10841 non-null  object \n",
      " 5   Installs        10841 non-null  object \n",
      " 6   Type            10840 non-null  object \n",
      " 7   Price           10841 non-null  object \n",
      " 8   Content Rating  10840 non-null  object \n",
      " 9   Genres          10841 non-null  object \n",
      " 10  Last Updated    10841 non-null  object \n",
      " 11  Current Ver     10833 non-null  object \n",
      " 12  Android Ver     10838 non-null  object \n",
      "dtypes: float64(1), object(12)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "googlestore_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['App', 'Category', 'Rating', 'Reviews', 'Size', 'Installs', 'Type',\n",
       "       'Price', 'Content Rating', 'Genres', 'Last Updated', 'Current Ver',\n",
       "       'Android Ver'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "googlestore_df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Does the dataframe contains any `Nan` value?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "App                  0\n",
       "Category             0\n",
       "Rating            1474\n",
       "Reviews              0\n",
       "Size                 0\n",
       "Installs             0\n",
       "Type                 1\n",
       "Price                0\n",
       "Content Rating       1\n",
       "Genres               0\n",
       "Last Updated         0\n",
       "Current Ver          8\n",
       "Android Ver          3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "googlestore_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that we have some missing values in the dataset. Lets have a detailed look of the missing values in the dataframe."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's define a function to view some more insights of the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def printinfo():\n",
    "    temp = pd.DataFrame(index=googlestore_df.columns)\n",
    "    temp['data_type'] = googlestore_df.dtypes\n",
    "    temp['null_count'] = googlestore_df.isnull().sum()\n",
    "    temp['unique_count'] = googlestore_df.nunique()\n",
    "    return temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>data_type</th>\n",
       "      <th>null_count</th>\n",
       "      <th>unique_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>App</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>9660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Category</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rating</th>\n",
       "      <td>float64</td>\n",
       "      <td>1474</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reviews</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>6002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Size</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Installs</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Type</th>\n",
       "      <td>object</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Content Rating</th>\n",
       "      <td>object</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Genres</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Last Updated</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>1378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Current Ver</th>\n",
       "      <td>object</td>\n",
       "      <td>8</td>\n",
       "      <td>2832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Android Ver</th>\n",
       "      <td>object</td>\n",
       "      <td>3</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               data_type  null_count  unique_count\n",
       "App               object           0          9660\n",
       "Category          object           0            34\n",
       "Rating           float64        1474            40\n",
       "Reviews           object           0          6002\n",
       "Size              object           0           462\n",
       "Installs          object           0            22\n",
       "Type              object           1             3\n",
       "Price             object           0            93\n",
       "Content Rating    object           1             6\n",
       "Genres            object           0           120\n",
       "Last Updated      object           0          1378\n",
       "Current Ver       object           8          2832\n",
       "Android Ver       object           3            33"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "printinfo()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's have a look at the rows of the column `Rating` having `NULL` values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Mcqueen Coloring pages</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61</td>\n",
       "      <td>7.0M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Action &amp; Adventure</td>\n",
       "      <td>March 7, 2018</td>\n",
       "      <td>1.0.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>Wrinkles and rejuvenation</td>\n",
       "      <td>BEAUTY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>182</td>\n",
       "      <td>5.7M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Beauty</td>\n",
       "      <td>September 20, 2017</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>Manicure - nail design</td>\n",
       "      <td>BEAUTY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119</td>\n",
       "      <td>3.7M</td>\n",
       "      <td>50,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Beauty</td>\n",
       "      <td>July 23, 2018</td>\n",
       "      <td>1.3</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>Skin Care and Natural Beauty</td>\n",
       "      <td>BEAUTY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>654</td>\n",
       "      <td>7.4M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Beauty</td>\n",
       "      <td>July 17, 2018</td>\n",
       "      <td>1.15</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>Secrets of beauty, youth and health</td>\n",
       "      <td>BEAUTY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77</td>\n",
       "      <td>2.9M</td>\n",
       "      <td>10,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Mature 17+</td>\n",
       "      <td>Beauty</td>\n",
       "      <td>August 8, 2017</td>\n",
       "      <td>2.0</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>10824</th>\n",
       "      <td>Cardio-FR</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>67</td>\n",
       "      <td>82M</td>\n",
       "      <td>10,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>July 31, 2018</td>\n",
       "      <td>2.2.2</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10825</th>\n",
       "      <td>Naruto &amp; Boruto FR</td>\n",
       "      <td>SOCIAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7</td>\n",
       "      <td>7.7M</td>\n",
       "      <td>100+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Social</td>\n",
       "      <td>February 2, 2018</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10831</th>\n",
       "      <td>payermonstationnement.fr</td>\n",
       "      <td>MAPS_AND_NAVIGATION</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38</td>\n",
       "      <td>9.8M</td>\n",
       "      <td>5,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Maps &amp; Navigation</td>\n",
       "      <td>June 13, 2018</td>\n",
       "      <td>2.0.148.0</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10835</th>\n",
       "      <td>FR Forms</td>\n",
       "      <td>BUSINESS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>9.6M</td>\n",
       "      <td>10+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Business</td>\n",
       "      <td>September 29, 2016</td>\n",
       "      <td>1.1.5</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10838</th>\n",
       "      <td>Parkinson Exercices FR</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>9.5M</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>January 20, 2017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2 and up</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1474 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       App             Category  Rating  \\\n",
       "23                  Mcqueen Coloring pages       ART_AND_DESIGN     NaN   \n",
       "113              Wrinkles and rejuvenation               BEAUTY     NaN   \n",
       "123                 Manicure - nail design               BEAUTY     NaN   \n",
       "126           Skin Care and Natural Beauty               BEAUTY     NaN   \n",
       "129    Secrets of beauty, youth and health               BEAUTY     NaN   \n",
       "...                                    ...                  ...     ...   \n",
       "10824                            Cardio-FR              MEDICAL     NaN   \n",
       "10825                   Naruto & Boruto FR               SOCIAL     NaN   \n",
       "10831             payermonstationnement.fr  MAPS_AND_NAVIGATION     NaN   \n",
       "10835                             FR Forms             BUSINESS     NaN   \n",
       "10838               Parkinson Exercices FR              MEDICAL     NaN   \n",
       "\n",
       "      Reviews  Size  Installs  Type Price Content Rating  \\\n",
       "23         61  7.0M  100,000+  Free     0       Everyone   \n",
       "113       182  5.7M  100,000+  Free     0   Everyone 10+   \n",
       "123       119  3.7M   50,000+  Free     0       Everyone   \n",
       "126       654  7.4M  100,000+  Free     0           Teen   \n",
       "129        77  2.9M   10,000+  Free     0     Mature 17+   \n",
       "...       ...   ...       ...   ...   ...            ...   \n",
       "10824      67   82M   10,000+  Free     0       Everyone   \n",
       "10825       7  7.7M      100+  Free     0           Teen   \n",
       "10831      38  9.8M    5,000+  Free     0       Everyone   \n",
       "10835       0  9.6M       10+  Free     0       Everyone   \n",
       "10838       3  9.5M    1,000+  Free     0       Everyone   \n",
       "\n",
       "                                Genres        Last Updated Current Ver  \\\n",
       "23     Art & Design;Action & Adventure       March 7, 2018       1.0.0   \n",
       "113                             Beauty  September 20, 2017         8.0   \n",
       "123                             Beauty       July 23, 2018         1.3   \n",
       "126                             Beauty       July 17, 2018        1.15   \n",
       "129                             Beauty      August 8, 2017         2.0   \n",
       "...                                ...                 ...         ...   \n",
       "10824                          Medical       July 31, 2018       2.2.2   \n",
       "10825                           Social    February 2, 2018         1.0   \n",
       "10831                Maps & Navigation       June 13, 2018   2.0.148.0   \n",
       "10835                         Business  September 29, 2016       1.1.5   \n",
       "10838                          Medical    January 20, 2017         1.0   \n",
       "\n",
       "      Android Ver  \n",
       "23     4.1 and up  \n",
       "113    3.0 and up  \n",
       "123    4.1 and up  \n",
       "126    4.1 and up  \n",
       "129    2.3 and up  \n",
       "...           ...  \n",
       "10824  4.4 and up  \n",
       "10825  4.0 and up  \n",
       "10831  4.0 and up  \n",
       "10835  4.0 and up  \n",
       "10838  2.2 and up  \n",
       "\n",
       "[1474 rows x 13 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "googlestore_df[googlestore_df.Rating.isnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's have a look at the rows of the column `Type` having `NULL` values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9148</th>\n",
       "      <td>Command &amp; Conquer: Rivals</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Strategy</td>\n",
       "      <td>June 28, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>Varies with device</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            App Category  Rating Reviews                Size  \\\n",
       "9148  Command & Conquer: Rivals   FAMILY     NaN       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  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "googlestore_df[googlestore_df.Type.isnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Since there is only one value missing in the `Type` column\n",
    "So, Lets fill the missing value, After cross-checking in the playstore the missing value is found to  be `Free`, So Now we can fill the missing value with `Free`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df['Type'].fillna(\"Free\", inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "App                  0\n",
       "Category             0\n",
       "Rating            1474\n",
       "Reviews              0\n",
       "Size                 0\n",
       "Installs             0\n",
       "Type                 0\n",
       "Price                0\n",
       "Content Rating       1\n",
       "Genres               0\n",
       "Last Updated         0\n",
       "Current Ver          8\n",
       "Android Ver          3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "googlestore_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's have a look at the rows of the column `Content Rating` having `NULL` values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10472</th>\n",
       "      <td>Life Made WI-Fi Touchscreen Photo Frame</td>\n",
       "      <td>1.9</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0M</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>NaN</td>\n",
       "      <td>February 11, 2018</td>\n",
       "      <td>1.0.19</td>\n",
       "      <td>4.0 and up</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           App Category  Rating Reviews  \\\n",
       "10472  Life Made WI-Fi Touchscreen Photo Frame      1.9    19.0    3.0M   \n",
       "\n",
       "         Size Installs Type     Price Content Rating             Genres  \\\n",
       "10472  1,000+     Free    0  Everyone            NaN  February 11, 2018   \n",
       "\n",
       "      Last Updated Current Ver Android Ver  \n",
       "10472       1.0.19  4.0 and up         NaN  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "googlestore_df[googlestore_df['Content Rating'].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10468</th>\n",
       "      <td>Tassa.fi Finland</td>\n",
       "      <td>LIFESTYLE</td>\n",
       "      <td>3.6</td>\n",
       "      <td>346</td>\n",
       "      <td>7.5M</td>\n",
       "      <td>50,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Lifestyle</td>\n",
       "      <td>May 22, 2018</td>\n",
       "      <td>5.5</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10469</th>\n",
       "      <td>TownWiFi | Wi-Fi Everywhere</td>\n",
       "      <td>COMMUNICATION</td>\n",
       "      <td>3.9</td>\n",
       "      <td>2372</td>\n",
       "      <td>58M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Communication</td>\n",
       "      <td>August 2, 2018</td>\n",
       "      <td>4.2.1</td>\n",
       "      <td>4.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10470</th>\n",
       "      <td>Jazz Wi-Fi</td>\n",
       "      <td>COMMUNICATION</td>\n",
       "      <td>3.4</td>\n",
       "      <td>49</td>\n",
       "      <td>4.0M</td>\n",
       "      <td>10,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Communication</td>\n",
       "      <td>February 10, 2017</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10471</th>\n",
       "      <td>Xposed Wi-Fi-Pwd</td>\n",
       "      <td>PERSONALIZATION</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1042</td>\n",
       "      <td>404k</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Personalization</td>\n",
       "      <td>August 5, 2014</td>\n",
       "      <td>3.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10472</th>\n",
       "      <td>Life Made WI-Fi Touchscreen Photo Frame</td>\n",
       "      <td>1.9</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0M</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>NaN</td>\n",
       "      <td>February 11, 2018</td>\n",
       "      <td>1.0.19</td>\n",
       "      <td>4.0 and up</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10473</th>\n",
       "      <td>osmino Wi-Fi: free WiFi</td>\n",
       "      <td>TOOLS</td>\n",
       "      <td>4.2</td>\n",
       "      <td>134203</td>\n",
       "      <td>4.1M</td>\n",
       "      <td>10,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Tools</td>\n",
       "      <td>August 7, 2018</td>\n",
       "      <td>6.06.14</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10474</th>\n",
       "      <td>Sat-Fi Voice</td>\n",
       "      <td>COMMUNICATION</td>\n",
       "      <td>3.4</td>\n",
       "      <td>37</td>\n",
       "      <td>14M</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Communication</td>\n",
       "      <td>November 21, 2014</td>\n",
       "      <td>2.2.1.5</td>\n",
       "      <td>2.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10475</th>\n",
       "      <td>Wi-Fi Visualizer</td>\n",
       "      <td>TOOLS</td>\n",
       "      <td>3.9</td>\n",
       "      <td>132</td>\n",
       "      <td>2.6M</td>\n",
       "      <td>50,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Tools</td>\n",
       "      <td>May 17, 2017</td>\n",
       "      <td>0.0.9</td>\n",
       "      <td>2.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10476</th>\n",
       "      <td>Lennox iComfort Wi-Fi</td>\n",
       "      <td>LIFESTYLE</td>\n",
       "      <td>3.0</td>\n",
       "      <td>552</td>\n",
       "      <td>7.6M</td>\n",
       "      <td>50,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Lifestyle</td>\n",
       "      <td>March 22, 2017</td>\n",
       "      <td>2.0.15</td>\n",
       "      <td>2.3.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10477</th>\n",
       "      <td>Sci-Fi Sounds and Ringtones</td>\n",
       "      <td>PERSONALIZATION</td>\n",
       "      <td>3.6</td>\n",
       "      <td>128</td>\n",
       "      <td>11M</td>\n",
       "      <td>10,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Personalization</td>\n",
       "      <td>September 27, 2017</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           App         Category  Rating  \\\n",
       "10468                         Tassa.fi Finland        LIFESTYLE     3.6   \n",
       "10469              TownWiFi | Wi-Fi Everywhere    COMMUNICATION     3.9   \n",
       "10470                               Jazz Wi-Fi    COMMUNICATION     3.4   \n",
       "10471                         Xposed Wi-Fi-Pwd  PERSONALIZATION     3.5   \n",
       "10472  Life Made WI-Fi Touchscreen Photo Frame              1.9    19.0   \n",
       "10473                  osmino Wi-Fi: free WiFi            TOOLS     4.2   \n",
       "10474                             Sat-Fi Voice    COMMUNICATION     3.4   \n",
       "10475                         Wi-Fi Visualizer            TOOLS     3.9   \n",
       "10476                    Lennox iComfort Wi-Fi        LIFESTYLE     3.0   \n",
       "10477              Sci-Fi Sounds and Ringtones  PERSONALIZATION     3.6   \n",
       "\n",
       "      Reviews    Size     Installs  Type     Price Content Rating  \\\n",
       "10468     346    7.5M      50,000+  Free         0       Everyone   \n",
       "10469    2372     58M     500,000+  Free         0       Everyone   \n",
       "10470      49    4.0M      10,000+  Free         0       Everyone   \n",
       "10471    1042    404k     100,000+  Free         0       Everyone   \n",
       "10472    3.0M  1,000+         Free     0  Everyone            NaN   \n",
       "10473  134203    4.1M  10,000,000+  Free         0       Everyone   \n",
       "10474      37     14M       1,000+  Free         0       Everyone   \n",
       "10475     132    2.6M      50,000+  Free         0       Everyone   \n",
       "10476     552    7.6M      50,000+  Free         0       Everyone   \n",
       "10477     128     11M      10,000+  Free         0       Everyone   \n",
       "\n",
       "                  Genres        Last Updated Current Ver   Android Ver  \n",
       "10468          Lifestyle        May 22, 2018         5.5    4.0 and up  \n",
       "10469      Communication      August 2, 2018       4.2.1    4.2 and up  \n",
       "10470      Communication   February 10, 2017         0.1    2.3 and up  \n",
       "10471    Personalization      August 5, 2014       3.0.0  4.0.3 and up  \n",
       "10472  February 11, 2018              1.0.19  4.0 and up           NaN  \n",
       "10473              Tools      August 7, 2018     6.06.14    4.4 and up  \n",
       "10474      Communication   November 21, 2014     2.2.1.5    2.2 and up  \n",
       "10475              Tools        May 17, 2017       0.0.9    2.3 and up  \n",
       "10476          Lifestyle      March 22, 2017      2.0.15  2.3.3 and up  \n",
       "10477    Personalization  September 27, 2017         4.0    4.0 and up  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "googlestore_df.loc[10468:10477, :]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the above command we can see that row `10472` have a missing data for category column and all the prevailing column  values is being replaced with its previous column. Better idea will be to drop this row from out dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df.dropna(subset = ['Content Rating'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We can drop the unwanted columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df.drop(['Current Ver','Last Updated', 'Android Ver'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 App        Category  Rating  \\\n",
       "0     Photo Editor & Candy Camera & Grid & ScrapBook  ART_AND_DESIGN     4.1   \n",
       "1                                Coloring book moana  ART_AND_DESIGN     3.9   \n",
       "2  U Launcher Lite – FREE Live Cool Themes, Hide ...  ART_AND_DESIGN     4.7   \n",
       "3                              Sketch - Draw & Paint  ART_AND_DESIGN     4.5   \n",
       "4              Pixel Draw - Number Art Coloring Book  ART_AND_DESIGN     4.3   \n",
       "\n",
       "  Reviews  Size     Installs  Type Price Content Rating  \\\n",
       "0     159   19M      10,000+  Free     0       Everyone   \n",
       "1     967   14M     500,000+  Free     0       Everyone   \n",
       "2   87510  8.7M   5,000,000+  Free     0       Everyone   \n",
       "3  215644   25M  50,000,000+  Free     0           Teen   \n",
       "4     967  2.8M     100,000+  Free     0       Everyone   \n",
       "\n",
       "                      Genres  \n",
       "0               Art & Design  \n",
       "1  Art & Design;Pretend Play  \n",
       "2               Art & Design  \n",
       "3               Art & Design  \n",
       "4    Art & Design;Creativity  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "googlestore_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let us replace the missing values of the `Rating` Column with the `Mode` value of that entire column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "modeValueRating = googlestore_df['Rating'].mode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.4"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "modeValueRating[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df['Rating'].fillna(value=modeValueRating[0], inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>data_type</th>\n",
       "      <th>null_count</th>\n",
       "      <th>unique_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>App</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>9659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Category</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rating</th>\n",
       "      <td>float64</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reviews</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>6001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Size</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Installs</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Type</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Content Rating</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Genres</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               data_type  null_count  unique_count\n",
       "App               object           0          9659\n",
       "Category          object           0            33\n",
       "Rating           float64           0            39\n",
       "Reviews           object           0          6001\n",
       "Size              object           0           461\n",
       "Installs          object           0            21\n",
       "Type              object           0             2\n",
       "Price             object           0            92\n",
       "Content Rating    object           0             6\n",
       "Genres            object           0           119"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "printinfo()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Now we are done with the data cleansing part and in a state to start the work for data preparation "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Firstly, we need to convert the data types with their respective actual type<br>\n",
    "`Reviews`, `Size`, `Installs`, & `Price` should have an `integer` or `float` datatype, But here we can see of `object` type, So let's convert them to their respective type."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Column: `Reviews`\n",
    "Converting the `Reviews` column to *integer*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df['Reviews'] = googlestore_df.Reviews.astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>App</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>Category</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rating</th>\n",
       "      <td>float64</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reviews</th>\n",
       "      <td>int64</td>\n",
       "      <td>0</td>\n",
       "      <td>6001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Size</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Installs</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Type</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Content Rating</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Genres</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               data_type  null_count  unique_count\n",
       "App               object           0          9659\n",
       "Category          object           0            33\n",
       "Rating           float64           0            39\n",
       "Reviews            int64           0          6001\n",
       "Size              object           0           461\n",
       "Installs          object           0            21\n",
       "Type              object           0             2\n",
       "Price             object           0            92\n",
       "Content Rating    object           0             6\n",
       "Genres            object           0           119"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "printinfo()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Column: `Size`\n",
    "Converting the `Size` Column from *object* to *integer*."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Removing the `+` Symbol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df['Size'] = googlestore_df.Size.apply(lambda x: x.strip('+'))# Removing the + Sign"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Removing the `,` Symbol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df['Size'] = googlestore_df.Size.apply(lambda x: x.replace(',', ''))# For removing the `,`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Replacing the `M` by multiplying the value with 1000000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df['Size'] = googlestore_df.Size.apply(lambda x: x.replace('M', 'e+6'))# For converting the M to Mega"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Replacing the `k` by multiplying the value with 1000."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df['Size'] = googlestore_df.Size.apply(lambda x: x.replace('k', 'e+3'))# For convertinf the K to Kilo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Replacing the `Varies with device` value with *Nan*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df['Size'] = googlestore_df.Size.replace('Varies with device', np.NaN)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally converting to Numeric type."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df['Size'] = pd.to_numeric(googlestore_df['Size']) # Converting the string to Numeric type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>App</th>\n",
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       "      <td>9659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Category</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
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       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>Size</th>\n",
       "      <td>float64</td>\n",
       "      <td>1695</td>\n",
       "      <td>459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Installs</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Type</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Content Rating</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Genres</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               data_type  null_count  unique_count\n",
       "App               object           0          9659\n",
       "Category          object           0            33\n",
       "Rating           float64           0            39\n",
       "Reviews            int64           0          6001\n",
       "Size             float64        1695           459\n",
       "Installs          object           0            21\n",
       "Type              object           0             2\n",
       "Price             object           0            92\n",
       "Content Rating    object           0             6\n",
       "Genres            object           0           119"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "printinfo()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It will be better idea to drop the Rows of the column **Size** having `Nan` values, becuase it will be not a better idea to replace those value with mean or mode since, the size of some apps would be too large and some of them too small."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df.dropna(subset = ['Size'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>Type</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
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       "      <td>6</td>\n",
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       "      <th>Genres</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               data_type  null_count  unique_count\n",
       "App               object           0          8434\n",
       "Category          object           0            33\n",
       "Rating           float64           0            39\n",
       "Reviews            int64           0          4680\n",
       "Size             float64           0           459\n",
       "Installs          object           0            20\n",
       "Type              object           0             2\n",
       "Price             object           0            87\n",
       "Content Rating    object           0             6\n",
       "Genres            object           0           116"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "printinfo()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Column: `Installs`\n",
    "Converting the `Installs` column from *object* to *integer*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First of all we will need to remove the `+` symbol from the values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df['Installs'] = googlestore_df.Installs.apply(lambda x: x.strip('+'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then let's remove the `,` from the numbers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df['Installs'] = googlestore_df.Installs.apply(lambda x: x.replace(',', ''))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lastly we will need to convert it from `string` type to `numeric` type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df['Installs'] = pd.to_numeric(googlestore_df['Installs'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr>\n",
       "      <th>Type</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>87</td>\n",
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       "    <tr>\n",
       "      <th>Content Rating</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Genres</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               data_type  null_count  unique_count\n",
       "App               object           0          8434\n",
       "Category          object           0            33\n",
       "Rating           float64           0            39\n",
       "Reviews            int64           0          4680\n",
       "Size             float64           0           459\n",
       "Installs           int64           0            20\n",
       "Type              object           0             2\n",
       "Price             object           0            87\n",
       "Content Rating    object           0             6\n",
       "Genres            object           0           116"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "printinfo()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Column: `Price`\n",
    "Converting the **Price** column from `object`to `numeric`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us have a look at the unique values of the column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          8421\n",
       "$0.99       145\n",
       "$2.99       114\n",
       "$1.99        66\n",
       "$4.99        65\n",
       "           ... \n",
       "$379.99       1\n",
       "$15.99        1\n",
       "$394.99       1\n",
       "$2.60         1\n",
       "$4.29         1\n",
       "Name: Price, Length: 87, dtype: int64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "googlestore_df['Price'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can remove the `$` symbol from those values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "googlestore_df['Price'] = googlestore_df.Price.apply(lambda x: x.strip('$'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can convert the values to `Numeric` type."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "googlestore_df['Price'] = pd.to_numeric(googlestore_df['Price'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Content Rating</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Genres</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               data_type  null_count  unique_count\n",
       "App               object           0          8434\n",
       "Category          object           0            33\n",
       "Rating           float64           0            39\n",
       "Reviews            int64           0          4680\n",
       "Size             float64           0           459\n",
       "Installs           int64           0            20\n",
       "Type              object           0             2\n",
       "Price            float64           0            87\n",
       "Content Rating    object           0             6\n",
       "Genres            object           0           116"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "printinfo()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>9145.000000</td>\n",
       "      <td>9.145000e+03</td>\n",
       "      <td>9.145000e+03</td>\n",
       "      <td>9.145000e+03</td>\n",
       "      <td>9145.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.208868</td>\n",
       "      <td>2.490487e+05</td>\n",
       "      <td>2.151653e+07</td>\n",
       "      <td>7.114842e+06</td>\n",
       "      <td>1.184366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.507267</td>\n",
       "      <td>1.716211e+06</td>\n",
       "      <td>2.258875e+07</td>\n",
       "      <td>4.619357e+07</td>\n",
       "      <td>17.355754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>8.500000e+03</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.100000</td>\n",
       "      <td>2.200000e+01</td>\n",
       "      <td>4.900000e+06</td>\n",
       "      <td>1.000000e+03</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.400000</td>\n",
       "      <td>7.420000e+02</td>\n",
       "      <td>1.300000e+07</td>\n",
       "      <td>1.000000e+05</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.500000</td>\n",
       "      <td>2.503700e+04</td>\n",
       "      <td>3.000000e+07</td>\n",
       "      <td>1.000000e+06</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.489389e+07</td>\n",
       "      <td>1.000000e+08</td>\n",
       "      <td>1.000000e+09</td>\n",
       "      <td>400.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rating       Reviews          Size      Installs        Price\n",
       "count  9145.000000  9.145000e+03  9.145000e+03  9.145000e+03  9145.000000\n",
       "mean      4.208868  2.490487e+05  2.151653e+07  7.114842e+06     1.184366\n",
       "std       0.507267  1.716211e+06  2.258875e+07  4.619357e+07    17.355754\n",
       "min       1.000000  0.000000e+00  8.500000e+03  0.000000e+00     0.000000\n",
       "25%       4.100000  2.200000e+01  4.900000e+06  1.000000e+03     0.000000\n",
       "50%       4.400000  7.420000e+02  1.300000e+07  1.000000e+05     0.000000\n",
       "75%       4.500000  2.503700e+04  3.000000e+07  1.000000e+06     0.000000\n",
       "max       5.000000  4.489389e+07  1.000000e+08  1.000000e+09   400.000000"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "googlestore_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---------------**Now we are done with the ``Data Preparation and Cleaning``**------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note**: In this section *Data Preparation and Cleaning*. We can see that the original dataset contains `10841` Rows and `13` Columns. It contained `App`,\t`Category`,\t`Rating`, `Reviews`, `Size`, `Installs`, `Type`, `Price`, `Content Rating`, `Genres`, `Last Updated`, `Current Ver`, and `Android Ver` Columns. But after cleansing the dataset and droping the unwanted rows and columns having Null Values and Garbage data from the database, we are left with `8434` Rows and `10` Columns."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploratory Analysis and Visualization\n",
    "\n",
    "In statistics, exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task. Data visualization is the graphic representation of data. It involves producing images that communicate relationships among the represented data to viewers of the images. This communication is achieved through the use of a systematic mapping between graphic marks and data values in the creation of the visualization. This mapping establishes how data values will be represented visually, determining how and to what extent a property of a graphic mark, such as size or color, will change to reflect changes in the value of a datum."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's begin by importing`matplotlib.pyplot` and `seaborn`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "sns.set_style('darkgrid')\n",
    "matplotlib.rcParams['font.size'] = 14\n",
    "matplotlib.rcParams['figure.figsize'] = (9, 5)\n",
    "matplotlib.rcParams['figure.facecolor'] = '#00000000'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's first of all explore the column of `object` type."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>data_type</th>\n",
       "      <th>null_count</th>\n",
       "      <th>unique_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>App</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>8434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Category</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rating</th>\n",
       "      <td>float64</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reviews</th>\n",
       "      <td>int64</td>\n",
       "      <td>0</td>\n",
       "      <td>4680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Size</th>\n",
       "      <td>float64</td>\n",
       "      <td>0</td>\n",
       "      <td>459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Installs</th>\n",
       "      <td>int64</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Type</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>float64</td>\n",
       "      <td>0</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Content Rating</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Genres</th>\n",
       "      <td>object</td>\n",
       "      <td>0</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               data_type  null_count  unique_count\n",
       "App               object           0          8434\n",
       "Category          object           0            33\n",
       "Rating           float64           0            39\n",
       "Reviews            int64           0          4680\n",
       "Size             float64           0           459\n",
       "Installs           int64           0            20\n",
       "Type              object           0             2\n",
       "Price            float64           0            87\n",
       "Content Rating    object           0             6\n",
       "Genres            object           0           116"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "printinfo()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Can we see all the *categories* from the `Category` column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "FAMILY                 1832\n",
       "GAME                   1015\n",
       "TOOLS                   739\n",
       "MEDICAL                 434\n",
       "BUSINESS                400\n",
       "PERSONALIZATION         355\n",
       "LIFESTYLE               345\n",
       "SPORTS                  311\n",
       "FINANCE                 307\n",
       "PRODUCTIVITY            303\n",
       "COMMUNICATION           265\n",
       "HEALTH_AND_FITNESS      264\n",
       "PHOTOGRAPHY             254\n",
       "NEWS_AND_MAGAZINES      216\n",
       "DATING                  212\n",
       "SOCIAL                  210\n",
       "SHOPPING                201\n",
       "BOOKS_AND_REFERENCE     197\n",
       "TRAVEL_AND_LOCAL        192\n",
       "VIDEO_PLAYERS           131\n",
       "EDUCATION               111\n",
       "MAPS_AND_NAVIGATION     108\n",
       "FOOD_AND_DRINK          100\n",
       "ENTERTAINMENT            90\n",
       "LIBRARIES_AND_DEMO       82\n",
       "AUTO_AND_VEHICLES        75\n",
       "HOUSE_AND_HOME           68\n",
       "ART_AND_DESIGN           62\n",
       "WEATHER                  57\n",
       "EVENTS                   57\n",
       "PARENTING                54\n",
       "COMICS                   51\n",
       "BEAUTY                   47\n",
       "Name: Category, dtype: int64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "googlestore_df['Category'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's Plot it and have a visual look."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = googlestore_df['Category'].value_counts().index\n",
    "x = googlestore_df['Category'].value_counts()\n",
    "xsis = []\n",
    "ysis = []\n",
    "for i in range(len(x)):\n",
    "    xsis.append(x[i])\n",
    "    ysis.append(y[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18,13))\n",
    "plt.xlabel(\"Count\")\n",
    "plt.ylabel(\"Category\")\n",
    "\n",
    "graph = sns.barplot(x = xsis, y = ysis, palette= \"husl\")\n",
    "graph.set_title(\"Top categories on Google Playstore\", fontsize = 25);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** So there are all total 33 categories in the dataset\n",
    "From the above output we can come to a conclusion that in playstore most of the apps are under `Family` & `Game` category and least are of `Beauty` & `Comics` Category."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Which category of Apps from the `Content Rating` column are found more on `playstore`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "x2 = googlestore_df['Content Rating'].value_counts().index\n",
    "y2 = googlestore_df['Content Rating'].value_counts()\n",
    "\n",
    "x2sis = []\n",
    "y2sis = []\n",
    "for i in range(len(x2)):\n",
    "    x2sis.append(x2[i])\n",
    "    y2sis.append(y2[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,10))\n",
    "plt.bar(x2sis,y2sis,width=0.8,color=['#15244C','#FFFF48','#292734','#EF2920','#CD202D','#ECC5F2'], alpha=0.8);\n",
    "plt.title('Content Rating',size = 20);\n",
    "plt.ylabel('Apps(Count)');\n",
    "plt.xlabel('Content Rating');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note**: From the above plot we can see that `Everyone` category has the highest number of apps."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's have a look at the distribution of the ratings the dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    9145.000000\n",
       "mean        4.208868\n",
       "std         0.507267\n",
       "min         1.000000\n",
       "25%         4.100000\n",
       "50%         4.400000\n",
       "75%         4.500000\n",
       "max         5.000000\n",
       "Name: Rating, dtype: float64"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "googlestore_df['Rating'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,9))\n",
    "plt.xlabel(\"Rating\")\n",
    "plt.ylabel(\"Frequency\")\n",
    "graph = sns.kdeplot(googlestore_df.Rating, color=\"Blue\", shade = True)\n",
    "plt.title('Distribution of Rating',size = 20);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note**: From the above graph we can come to a conclusion that most of the apps in google playstore are rated in between `3.5` to `4.8`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's plot a visualization graph to view what portion of the apps in playstore are paid and free"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "labels = googlestore_df['Type'].value_counts(sort = True).index\n",
    "sizes = googlestore_df['Type'].value_counts(sort = True)\n",
    "colors = [\"blue\",\"lightgreen\"]\n",
    "explode = (0.2,0)\n",
    "plt.pie(sizes, explode=explode, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True, startangle=0)\n",
    "plt.title('Percent of Free Vs Paid Apps in store',size = 20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** From the above graph we can see that 92%(Approx.) of apps in google play store are free and 8%(Approx.) are paid."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Which category App's have most number of installs?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "highest_Installs_df = googlestore_df.groupby('Category')[['Installs']].sum().sort_values(by='Installs', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Installs</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Category</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>GAME</th>\n",
       "      <td>29874564253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FAMILY</th>\n",
       "      <td>6798793425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMMUNICATION</th>\n",
       "      <td>4941943051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NEWS_AND_MAGAZINES</th>\n",
       "      <td>4252005650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TOOLS</th>\n",
       "      <td>3527094815</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Installs\n",
       "Category                       \n",
       "GAME                29874564253\n",
       "FAMILY               6798793425\n",
       "COMMUNICATION        4941943051\n",
       "NEWS_AND_MAGAZINES   4252005650\n",
       "TOOLS                3527094815"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "highest_Installs_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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SJElS13H75BiJiFcAXwa2BF4NPAz8FTg6M39RtVkf+ArwdmACcCfwI+DQzJxT6+su4D+AnTPz9KZxrgPeAnwxM4+oyq4E3gnsn5kHN7U/B9gO+G5m7llrf1P/da3tFOCYzFyyuj4QOAA4MTOn1dqtXM39LZl5fVXWALbLzPNq7dYGvlTNbSIwHfgd8K3M/L+msS8EtgA2y8xf1cqnAysysMsy8z1VuyMy88javWsAXwUmV+PfC1wAHJyZM2rtfgdsCOyYmWfVyqdVfU4cZHxJkiRJkjQOmSk2Bqog0Y3AeylBoP8E3gNcBHy/arM18FvgkapuVeBrwB7ApRGxWFO39wBTm8Z5I7Bm1Ueze4BdI6Kn1n45YOuqbn7NAaZExJojuSkitgSuBZYEdgZWBz4E3A8c0tR2BeDdwHeAac/tiXWAFarPFlXZurWy7QYY/7+A64CXAv8NrALsRQlaXh0Ry7R4zv9t8e8gSZIkSZIWQmaKjY1jKWetr5eZM2vlt0TEGRGxBHAi8IvM3LVWf3dEJHA9JWBzeK3uTOAzEfG6zLyjKpsKnEfJvGp2MbANsDFwRVX2P5TAVGMUz/YP4G7gm5QA25Cq5z0Z+GVm1u+5E7g+Ipozr6YAlwBHARkRy2XmIwCZ+VCt30errw9l5gODjL9INf7NwLaZ2VdV/TMi/gzcCnyd8pv3+xGwFfCxah6SJEmSJGkhZqbYKEXEssBmlG2HM5vrM/PflAyy5YHDWtTfCFwG7NRU9TDwM2DXapzFKEGuEweYytPAacButbLdBmk/EvsCW0TERsNs3/+8h7SqbNq62EOZ5+mZ+U9KEG/n0U2XNwOrUbY+9tUrMvMe4Cxgx6Z7HgcOAvaPiKVHOb4kSZIkSepwBsVG7w2ULLFbBmmzavV3oDY3A9Gi/CRglyrzaWtgRmZeNcg4JwHvj4ilI2I9YGVKZtmoVOd/nUaLoN4AVqn+Dvab9NsYWJay1ZRqnKkDth6e4fzek6qAZt33KcGxvUc5viRJkiRJ6nAGxUavZ+gmw+qj1RbHX1Z1m1ACRScN1klm3gL8hZIFNRU4KzNnj8H8oBxYv3ZEvH8YbUfym0wFzsnMudX1ecDrq5cSjNZA20Z7WtVXc9gP+Gx1zpkkSZIkSVpIGRQbvdsowZXVB2lza/V3jQHqV6/6eY5q69+plLdavqv6PpSTgI9SAmMDBdEeB5oPmofyhsbHWt1QbTs8mnK22FBn0fU/72C/CdXZYh8A9oiIeRExD3iUcjh+84H7I9E//kAvB1idsj11Rou6sygZZgeOYnxJkiRJktThDIqNUmY+Ssno2jMilmyurwI/l1LeGPnFFvXrUt68eMYAQ5wEbAT8KjPvG8aUzqZsH5yemdcONG1g3fqbKivrVnUD+SYwiaEDVpdSgk77tqqsHbT/YeAhYC1g7dpnD2CHiJgwxDgDuYESGPt8tfW0PvZKlLdgnpmZz8skq8r2oWSwrTaf40uSJEmSpA7n2yfHxieA31PerLg/8FfKFr3JwJcy8zURsTtwTkScRMm4egR4G3AE8Dvg/7XqODPviIjlgSeHM5HMfCIiVgR6B2n2PWBP4OiI+AEwB3gfJbvsvwfp+98R8Q3KgfSDzWFWREwDzo2Ii4AjKZlwywLbUoJvW1C9TTMzb6rfHxG3Ut7EuQNDbBkdYPy+iNiNEpz7cUR8E7iXEnA7HLiDsh10oPsvi4hfA58Enhrp+JIkSZIkqfOZKTYGMvNOSqDnV8ChlKDY5ZTD8T9atfkx8A7g5VXdbcDXgBOATWtnarXq/9HMHFZQrGr/WKs3Ydbq76jmsgolcHQdJXtqu8z8xRDdHw08OIw5/BTYAJgNnE7JQDsXWAnYu8qQW4cWLwKofosLGcUWysy8GlifEtT6GfAP4Cjg58CGmdlym2jNPsBi8zu+JEmSJEnqbD2NxkBnkUsarr7evsaHJ7fcLSq9YE68+OvMmv00EycuwYwZY/VODWlkXH9qJ9ef2sn1p3Zy/amdxtv6mzRpqRuA9VrVmSkmSZIkSZKkrmNQTJIkSZIkSV3Hg/alMdCgbGWTFqTe3r52T0GSJEmSxi2DYtIY6OnpYdbsp9s9DUmSJEmSNExun5QkSZIkSVLXMSgmSZIkSZKkrmNQTJIkSZIkSV3HM8WkMdBoNJiwxKLtnoY6VG9vH3Oe6m33NCRJkiRJNQbFpDHQA+z+/m+0exrqUD+44MuAQTFJkiRJ6iRun5QkSZIkSVLXMSgmSZIkSZKkrtMR2ycj4hRgF2D/zDy4Vr4xcAUwCVgSuHOALjYH7gJuAd6emVfX+rgMmAy8IjMfqpVPB07KzK9GxBLAfsD2wKuBmUACx2Tmj0bwHOsA1wPXZOaGLeobwNPAapl5R9PzL5+ZW1bXBwIHVNW9wOPA34GfAUdn5sxhzucUyu96YmZOa6o7DPgicFH/uLW6lwP/BB4EVs7MvhZ9rw3sA7wTWA74F3AT8APgp833RMSFwBbAZpn5q1r5ygz87wpwV2a+tmp7F+Xf5Ijq+spq/J0z8/Ran1OqdktW1xtT1lErq2fm38dqDUiSJEmSpPGhkzLF5gB7R8SkIdptBqzQ9Lk8M/8O3E8JgAEQEYsBGwD3UIIn/eWrACvybKDk+8AOwGeA1YBNgdOBZUf4DLsDxwJvjIjVB2jTC/zvMPpKyrOtBGwEnAp8FPhTRLxyBHO6B9ghIib0F0TEi4GdKYGvVqZQAnBzgPc2V0bElsC1wDLArsAawAeA84CvAK9qar8C8G7gO8BzgnPV/Jr/PVcAtqL8Vt8d4vnmAAdHxEuGaAewZotxbqvqxmoNSJIkSZKkcaAjMsUqV1AydPYHPj1Iu0cy84FB+pgM9Geb/RfwCCW4MZkStKH6Pgf4Q3W9NfCFzPx5dX0XcONIJh8RLwV2At4BLAFMBb7QounRwOcj4ojMvGGQLufVnvN+4G9VttVNwKGUDLDh+CslSLU9cHJVtgXl+a+iZHk1242SRbZ29RwX91dUwbWTKRlm76/d8w/gj8BJEdHT1N8U4BLgKCAjYrnMfAQgM3uB5/x7RsQrgO8BZ/VnhQ3ibEqg9JPAt4do+2BmPjxA3ajXgCRJkiRJGj86KVOsD9gX+FhEvH4++7gCeFsta2gycGX1mVxrNxn4Q2bOqa4fADaLiGXmc1yADwJ3Z+ZfgR8CH4mIRVu0uw44HzhspANk5v3AGcA2ETGSf7sTKYGufrtRAluN5oYRsRElUHYJJZi4VVP23qbA8gwy/8x8pt8qQLYbcHpm/pOSYbbzQPdWv9n5lH+T5qyyVmYCXwe+EhETh9F+IGOxBiRJkiRJ0jjRSUExMvMXwNUMvr3wqoiY2fTpD2RcASxOyRCDZ4NivwfeUNt2uDFwea3PPYD1gYcj4saIOCYiNhnh9KdRgmEAvwFmU7KPWvkysFFEbDbCMQBuBpamBKaG60xgvYhYpfoNNgNOGaDtNODszHw6M++kBLE+Uqtftfqb/QUR8aamf48P19pvTNmCeFF1fRol+2wgxwBvALatBS2HcjwlI3DfIdrd1TTP6bW6sVgDkiRJkiRpnOiooFhlb2C7iFhvgPqdKNv66p8nADLzH5RzsiZHRH9w7MrMnEU5AH/j6qyvV1ILimXmVcDrgHcB51ACP5dGxHHDmXBEvAHYkBJ86s+UOoMBMp0y83bKgfSHjDDjC6B/a+LzsrwGkpn/Bn5MydjahfKbPO88sYhYmpLx9sNa8Q8ZPIgFJUDW/2/RA9Qz5KYC52Tm3Or6POD1EbF+i/E/Rtlq+f7MnN5cP+DgmfMoZ5l9OiJePUjTyTx33WxU62NUa0CSJEmSJI0vnXSmGACZ+ceIOJ9ybtZBLZpMr4JKA7mCkp30G+ChKlBGdb0x8DJgFuX8q/q4TwO/rT6HRMR+wEER8c3MvGuIaU8DXgT8MyL6y3oAImKlzLynxT1fo5zD9eEWdYNZg/I2ykdGeN9JlMP6ZwJfHaDNTpTz0K6uPQfAiyJiw+qtnrdWZatRnclWBbxuh2fesEn1fSLlAP7FImL3en+U3+zaWtu3U84c+0Rm/n6Ez0ZmnhsRX6D8rr8doNmdg5wpNto1IEmSJEmSxpFOzBSDanshZZvfSF1ByRB7H2XrZL8rKZlCk4HfVgGQwdxc/V1ysEbVmxx3Ab7Ec7OQ1qIccr9rq/sy80HgCErgbzhvTux/i+NOwAWZ2Tece2ouA+ZStl3+ZIA2UynbF5sz8S7i2WyxSykBuS8NY8wPAw9Rfot6f3tQeyNmRKxEOUfs+Mw8YYTPVbc35d9izVH0UTesNSBJkiRJksafjssUg7K9MCKOB/ZqUb1c7Wywfo9l5pPV9ysoQaaPAp+ttbmasj1uBZ59OyUAEXEl8CPKFstHKNlY36BsC7xliOluQQk0/aD/jYq1fs8CPh4RBw8QxPoW8HFgG0rQqu7F1XP2UM7k2pASLHyU4QWkniMzGxHxn0BPZj7VXF/VrQdMzcybmup+CJwYEXtl5hMRMRU4NyIuAY4EbqNkmG1COdOtt7p1KnBei/5uBQ6nBMbOpGztvJeSndX8bwsl46+3RXnzM/6mmtOetTnUvbwKYtY9mplzR7kGJEmSJEnSONOpmWJQ3ig4r0X5JcD9TZ9ntiBWZ2XdASxFLVMsM2cCN1Tl9UP2AX5JeSPiL4G/A8dSttBtMoxgzFTgiuaAWOVc4D+A97S6sZrT1yiBpGZRPdt04HeUjLPjgXUz84Eh5tRSZj6RmY8PUD0NuK16e2azn1PWyo5VPz+lZOM9RnmL5d8pv/Xm1TzPiIh1gXUoZ4g1z2MucGE15vrAm6u29/D8f9v7gZVG8Jj7AosNUPe3Fn2/o6obzRqQJEmSJEnjTE+jMezz2iUNoK+3r7Hz+w5s9zTUoX5wwZeZNXuoHdvzb+LEJZgxY/YL1r80GNef2sn1p3Zy/amdXH9qp/G2/iZNWuoGys645+nkTDFJkiRJkiTpBdGRZ4p1koh4Dc8euN7KGtWWzQWqU+clSZIkSZI0HhgUG9p9lDcmDlbfDp06r67UoGyRk1rp7R3py2IlSZIkSS80g2JDyMx5wO3tnkezTp1Xt+rp6XlBz4ySJEmSJEljyzPFJEmSJEmS1HUMikmSJEmSJKnruH1SGgONRoMJSyzW7mloFHr7+pgzZ167pyFJkiRJWkAMikljoAfYY8fD2j0NjcLxP9q73VOQJEmSJC1Abp+UJEmSJElS1zEoJkmSJEmSpK7j9kktMBHRGKLJqZk5pWr7XmBvYD1gMeBW4CTg6Mzsa+p3WG2r8bfLzPMGmN804JPAKkAvcDdwYWbuN7InlSRJkiRJnc5MMS1IK9Q+u7co2wsgIj4O/AK4AdgQWAM4FvgacGa9w5G0HUxE7AYcBXwfWBvYADgIWGLETylJkiRJkjqemWJaYDLzgf7vETGjuawqfzVwJCXLq37y+XER8S/gxxFxfmaeO5K2w5je1sAFmXlcrexmYDj3SpIkSZKkccZMMXWa7ShbIJ/3KsfM/AlwG7DTfLQdygPAWyPidfMxZ0mSJEmSNM6YKaZOsyrweGbeN0D9LUDMR9uhfA1YC/hHRNwOXAtcCvwoM58eZh+SJEmSJGmcMFNMnWiwA/l7mupH0nZAmXl/Zm4AvImyJbMHOA64LiI8V0ySJEmSpIWMQTF1mluBZSJixQHqV6dsixxp22HJzJsy87uZ+WFgE8qh+9uPpA9JkiRJktT5DIqp05wHPA18sbkiIrYF3gCcMR9t58fN1d8lR9GHJEmSJEnqQJ4ppo6SmfdExOeBIyNiLnAqMJuStXUYcHb/2yRH0rZm5YhYu6nsDuBQ4D7gcmA6sAKwX9XfpWP/pJIkSZIkqZ3MFFPHycyjga2AtwDXUA7M3xM4gKa3SY6kbeVw4E9Nn3cAvwLWB86hbMv8cdV+k8y8deyeTpIkSZIkdQIzxdQWmXke5TD7gep/AfximH0Nq21mDjhe5YLhjCdJkiRJksY/M8UkSZIkSZLUdQyKSZIkSZIkqeu4fVIaAw3g+B/t3e5paBR6+/raPQVJkiRJ0gJkUEwaAz09PcyaPbfd05AkSZIkScPk9klJkiRJkiR1HYNikiRJkiRJ6jpun5TGQKPRYMKExSZ3GAMAACAASURBVNo9jYVSb28fc+bMa/c0JEmSJEkLGYNi0hjo6YE9dv1Ou6exUDr+5M+2ewqSJEmSpIWQ2yclSZIkSZLUdQyKSZIkSZIkqeu4fbLDRMQpwC7V5TzgHuAC4ABgEnBnrfnjwC3A/2bmz5r6WRz4IrAT8FpgNvB74KDMvLbWbgpwcnXZBzwB3A78Evh/mflg09yWz8wtm8baGLgCmJSZD1dliwF7VeOvCjwF3FqNdQowZ4if4tTMnBIRDWA74ELg3mpOBzc3johPAEcAKwDr9M8H2JPy2w3mDGAy8MbM/HetzzWAG4FdMvPsIfqQJEmSJEnjiJlinenXlODO64D9gP6AT7/Nqvr1geuA8yPijf2VVUDqUuBjwMFAAO8GHgR+GxFbNY03u+rv1VWfRwJbAzdFxOojnXw1/i+Br1CCYG8H3gx8G9gV2KAar/+ze3VrvWyvep+ZORc4Hdg1InpaDLsbcF5mPtZU3h8o6/8k8K2msqnAv4Bjas/wYuBU4AIDYpIkSZIkLXzMFOtMT2XmA9X3MyNiMrANcGhV9khV/0BEfAX4FCXT6aaq/jOUQNR6mXljVXY3sFtELAucGBErZ+bsqq5RG+9+ICPiJ5Qsqe8D7xzh/D9T3fPWzLy+Vn5nRJwHLJmZj/cXRsQMgNocBnJC1ffGlEyw/vvXogTdPtd8Q2bOBGbW2s4DZjaPFRE7A9dHxAcy83zgS8CrgE2HfFpJkiRJkjTumCk2PjwJLNpcGBGL8myW1dO1qg8Dv64FxOoOp2wr3GSwAatg0veBd0TEpBHOt3/865srMrOvHhAbicz8G3AtJSusbipwW2ZeNT/91vr+CvC9iNiUkqG3a307pSRJkiRJWngYFOtwEfFWyrlcl9WKr4qImZRzub5FOWfsnFr9qpSzxlq5ub/rYQzf3/a1w55wscog44/WCcAHImIZgIh4CSUId+IY9P0dyjNfDJyQmZeOQZ+SJEmSJKkDGRTrTJtFxMyImAP8AbiKskWy306Uw+S3Bm4DdsvMR5v6aAwxxlD1AP1ndw2nbav7XghnAb3AjtX1NsDSlPO/RiUzG5Qz2BYBDhptf5IkSZIkqXMZFOtMVwFrU7K5Fs/M99ffAglMz8zbMvMiyvbJcyJi+Vr9rcCaA/S9RvX3tmHMYw1KQOyu6vpxYJkW7Sby7Jsr+8cf8QH9w1Ft6zyHZ7dQTgUuGsZ5ZMM1r+mvJEmSJElaCBkU60yzM/P2zLw7M58erGFm/oay5e+rteIzgXdHxLotbtkbeJjydsoBRcSSlLdX/iYzH+ofDlgjIl7a1Hxd4O7MfKo2/nsiYr0W/S4SEUsPNvYwnAC8JSK2pLxV84RR9idJkiRJkrqMb59cOHwLODciDs/Me4AjKVsrL4yIvYGrgZcBnwY2Bz5Ye/MkQE9EvLL6vgzwFmCf6vvWtXanU4Jvp0XEIcBjwEaUN0LuU2t3JPA+4FcRcQAl8+0xypbPLwBfBq6c34fNzD9ExM3AacADlDPAJEmSJEmShs1MsYXDzylbHPcHqDK23gP8ADiAsp3xSuAVwDsy88Km+5cA7gfuA64DPgf8DHhjZj5zYH5m9gfBXgRcCPwZ2Ktq//1au6eATYFDKNsb/wDcSMlSOxX4/Rg884mUQN8pmdk7Bv1JkiRJkqQu0tNojPQMdUnN+vr6Gh/Z8bB2T2OhdPzJn2XWrLntnkZHmzhxCWbMmD10Q+kF4PpTO7n+1E6uP7WT60/tNN7W36RJS90APO94JzBTTJIkSZIkSV3IoJgkSZIkSZK6jgftS2Og0Sjb/DT2env72j0FSZIkSdJCyKCYNAZ6eno890qSJEmSpHHE7ZOSJEmSJEnqOgbFJEmSJEmS1HUMikmSJEmSJKnreKaYNAYajQYTJizW7mmMa719fcx5cl67pyFJkiRJ6hIGxaQx0NMD0z56VLunMa6dcNyn2z0FSZIkSVIXcfukJEmSJEmSuo5BMUmSJEmSJHUdt092gIg4BdilupwH3ANcABwATALuBN6Smdc33fdz4OHMnFIrW7G6733Ay4GHgF8AX8vM6VWbxhBTOrW/z4h4L7A3sB6wGHArcBJwdGb2Nc3nncDngQ2ApYF7gRuB72XmZVWbjYErarc9CvwF2D8zr27x27wc+CfwILByizHvAv6junwSuKOa23FV/RTgmMxcskXfM4E9gXOAPwGXZeYnmtocBOwGvCkzH23xW0mSJEmSpHHITLHO8WtgBeB1wH7AJ4AjRtJBRLwWuB54IyXI9gbgf4A1gT9GxMpV0xVqn91blO1V9fdxSkDtBmBDYA3gWOBrwJlNY38UuByYAewArAZ8GLgSaHXY1prVWBtTAncXVQGwZlOAnwFzgPcO8Ohfr/r6T+AnwPcjYocB2j5PZs4GPgLsHhGb1J5pPWAfYKoBMUmSJEmSFi5minWOpzLzger7mRExGdgGOHQEfXwX6APeUwV6AP4ZEe8Bbqvqt6iNQ0TMAKiXVeWvBo6kZF3tXas6LiL+Bfw4Is7PzHMjYiVK4Ov/Zebnam3vBP4QEd9tMdcHM/Nh4IGIOBjYHlifEgCr2w34IrA2MBW4uEVfT9Tmv19EbE/57c5u0balzLw2Ig4BToqIN1KCcKcCJ2TmJcPtR5IkSZIkjQ9minWuJ4FFh9s4IpYFNgO+WwuIAc9kQh0LbB4RLxtml9tRtkse1lyRmT+hBNl2qoo+OFDbqv2A2zUjYglg1+ry6aa6jYDlgEuA04GtImLSMOY+hxH8djVfp2zTPAo4uOrji/PRjyRJkiRJ6nBminWgiHgrJeB0Wa34qojoa2q6OCVYBLAK0APcMkC3N1f1qwDXDWMaqwKPZ+Z9A9TfAkRT23oG2pbAWbX2m2fmb2vXd0UEwBLVvK7nuc8LMA04OzOfBu6MiGsp2xy/1WpCEfFiynbRNwHfq1VNqM4PazahfpGZT0fEzpTtoi8C3pGZs1qNJUmSJEmSxjeDYp1jsypw82JKhtJPgU9RgkZQgmQ3Nd1zfIt+BsrK6hmivpXB2vY01Te3vYKy5fFllCDci5rqJwOPAesA3wR2qYJfAETE0pQMtHfV7vkh8FmeHxT734g4EHgJMBc4HDiuVj+7mkuzvzQXZObNEXE+sHxmXtPiHkmSJEmStBAwKNY5rgL2oGwhvK8/QFQ7HH96Zt5evyEi6tskb6MEptakHDbfbPWq/h/DnM+twDIRsWJm3jtAf39rartCZt4PUGVY3R4Ryw/Q/53VmWK3RsTiwAURsVZmPlXV70QJCF5dZZT1e1FEbNj0pspvAydSgl/3t9iu2Wj+7WDQt3DOqz6SJEmSJGkh5ZlinWN2Zt6emXfXM6aGq3o74i+BT1TndD2juv4kcPEI3qJ4HiVA97wztSJiW8qbLc9oavulkc678kNKdtwna2VTgWMoGV71z0VVXd0j1W9332Dnl0mSJEmSJPUzU2zhsifwe+DXEbEfJXvs9cD/UrY77jncjjLznoj4PHBkRMylvIlxNrAJ5UD9szPz3FrbzwDHVAf+nwTcQdk6uV3VZe8gY/VFxJHA/hFxXDXn9YCpmfmcLaMR8UPgxIjYKzOfGO7zSJIkSZIk1ZkpthDJzH9Qgkl/o2Rf3QGcSTkU/y2ZeecI+zsa2Ap4C3BN1c+ewAE8++bJ/rbHAu8GJgLnUAJyl1C2c27ddMh+KydRgrR7UQ7Yvy0z/9qi3c8p63bHkTyLJEmSJElSXU+j4W4zabT6+voa/7NLy5diaphOOO7TzJo1t93TGJcmTlyCGTNmD91QegG4/tROrj+1k+tP7eT6UzuNt/U3adJSN1ASiJ7HTDFJkiRJkiR1HYNikiRJkiRJ6joetC+NgUajbP/T/Ovt62v3FCRJkiRJXcSgmDQGenp6PA9LkiRJkqRxxO2TkiRJkiRJ6joGxSRJkiRJktR13D4pjYFGo8GECYu1exrzrbevjzlPzmv3NCRJkiRJWmAMikljoKcHdv3U0e2exnw7+ehPtXsKkiRJkiQtUG6flCRJkiRJUtcxKCZJkiRJkqSu4/ZJPUdETAK+BrwPWAGYAdwEHJKZv4qIK4GbMnPPpvs+CJybmT21skWATwK7AQHMA64HDs/Mi2vtNgauqHX3cNVu38z8S9XmSuCdVf1c4G7gFODQzOyt9TEpMx+OiJWBO4FHgddl5mO18Z73DBHxCmBfYEtgJeBx4HbgR8DJmTlzmD+hJEmSJEkaB8wUU7PzgbcCU4FVKUGii4Hl5qOvM4GDgOOBNwIbAH8Efh4RH2/Rfk1KIG4L4GXAJRGxTK3+5Ko+gKOAg4EvDDGHJSjBrgFVAbQbgc2A/YF1gXcBRwDvBrYeYgxJkiRJkjTOmCmmZ0TERGAjYJPMvKwqvpsSyBppX9sDOwDbZuZPalX7RMRLgCMj4meZOb1W92BmPgw8EBGfB34H/Bfwy6p+dmY+UH0/JiL+G9gGOHSQqRwF7BURx2TmvQO0+R7QB6yXmbNq5TcBF0RET+vbJEmSJEnSeGWmmOpmVp+tI2LxUfb1YeC2poBYv8OBxYAPDHL/k9XfRYdoM1g9wLnA/wFfb1UZEcsC7wW+2xQQe0ZmNoYYQ5IkSZIkjTNmiukZmTkvIqYAPwD2iIg/AVdTzgq7ttZ0j6pd3YuarlcFbhlgnHsj4nHKNsjniYjlgAOAJ4DrWtQvAmxKCWYdOcRjAewNXBYR387MvzXVrQL0ANk0xnRgYnV5emZ+bBjjSJIkSZKkccJMMT1HZp4PvArYinKW2NuAayLiy7VmZwNrN32+2KK7oTKsmuvvioiZlIP2Vwe2y8wHa/V7VPVzgAuB0ykvBRjqmX5D2YL5zaHa1mxEea7rgNFmzUmSJEmSpA5jppieJzPnAL+qPl+PiBOAAyPiiKrJY5l5e/2eiHigqZtbgTVa9R8RKwJLA7c1VU2mvC3yocx8vMWtZ1OCYE8B92Vm7/Cfin2Av0TERk3lt1OCc6vVCzPzzmqus0cwhiRJkiRJGifMFNNw3EwJoI4kY+pMYJWI2KZF3d7AXOC8pvI7M/MfAwTEoArGZeY9IwyIkZk3AacBhzWVPwJcCuwZEUuOpE9JkiRJkjR+mSmmZ1RneZ0LnAT8lXKm13pUZ3Jl5uMRLY8Ba+Uc4IPAKRGxL2X74kuBjwB7Ap9qevPkgvBVSgYblDdL9vsE5ey0GyLiQOAvwDzgzcBalKCZJEmSJElaiJgpprqZwDXAXsBvgL8B36Bkfe0wko6qNzZ+iHJg/scp2WbXAusDW2bmsWM37WHP6R7gKJoy3jLzDmAd4BLgIOBPwI3A54Bjgc8s2JlKkiRJkqQXWk+jMdRZ6JKG0tfX19hx92+3exrz7eSjP8WsWXPbPQ3Np4kTl2DGDI+/U3u4/tROrj+1k+tP7eT6UzuNt/U3adJSN1B2wT2PmWKSJEmSJEnqOgbFJEmSJEmS1HU8aF8aA41G2YI4XvX29bV7CpIkSZIkLVAGxaQx0NPT45lckiRJkiSNI26flCRJkiRJUtcxKCZJkiRJkqSuY1BMkiRJkiRJXcczxaQx0KDBhCUXa/c0ntHb28ecJ+e1exqSJEmSJHUsg2LSGOgBPvLZY9o9jWec9p092z0FSZIkSZI6mtsnJUmSJEmS1HUMikmSJEmSJKnruH1SYy4iJgFfA94HrADMAG4CDsnMX0XElcA7q+ZzgbuBU4BDM7O36mMR4JPAbkAA84DrgcMz8+LaWBsDV9SGfxT4C7B/Zl5dtZkOrDjIlC/LzPdExNrAQcBbgWWAfwF/BD6bmffMz28hSZIkSZI6k5lieiGcTwksTQVWBbYELgaWq7U5mRIwC+Ao4GDgC7X6MykBquOBNwIbUAJUP4+Ij7cYc82qv42Bh4CLIuLlVd06Vd0KwBZV2bq1su0i4hXAZcC/gc2B1YBdgLuApUb8C0iSJEmSpI5mppjGVERMBDYCNsnMy6riuykBrbrZmflA9f2YiPhvYBvg0IjYHtgB2DYzf1K7Z5+IeAlwZET8LDOn1+oezMyHgQci4mBge2B94GeZ+VBtfo9WXx+qjU9EfBBYGpiamU9XxXcBV478V5AkSZIkSZ3OTDGNtZnVZ+uIWHwE9z0JLFp9/zBwW1NArN/hwGLAB1p1EhFLALtWl0+3ajOAByhB4m0jomcE90mSJEmSpHHIoJjGVGbOA6YA/wPMiIg/RMQREbF+q/YRsUhEbAa8l7J9EcqWy1sG6P9e4HHKtsu6uyKiPyD3Wcr5Y5cxTJn5O+AwyrbNRyPilxHxpYh4zXD7kCRJkiRJ44dBMY25zDwfeBWwFeUssbcB10TEl2vN9qiCWHOAC4HTKYfz92sMMUxz/WTKOWE7AncCu9S2QQ533vsArwQ+CvwN2B24pTrMX5IkSZIkLUQ8U0wviMycA/yq+nw9Ik4ADoyII6omZ1OCYE8B9/W/dbJyK7BGq34jYkXK2V+3NVXdWZ0pdmu1bfOCiFgrM58a4bwfBs4BzomIL1HeZLkfni0mSZIkSdJCxUwxLSg3U4Kw/eeMPZaZt2fmPU0BMShbGFeJiG1a9LM3MBc4b5Cxfkg5n+yTo5lwFVC7A1hyNP1IkiRJkqTOY6aYxlRELAecC5wE/BV4AliPEsy6LDMfj2g+Dux5zgE+CJwSEfsCvwReCnwE2BP4VNObJ58jM/si4khg/4g4LjNnDWPe21AO7z+Lkqm2COVtmO8FvjzIrZIkSZIkaRwyU0xjbSZwDbAX8BvK2VzfoGR/7TCcDjKzAXwIOAD4OCXL7FpgfWDLzDx2GN2cRAn67jXMed9EeQPmt4A/V+N9iHJo/2HD7EOSJEmSJI0TPY3GUOeZSxpKX19fY/tPfKfd03jGad/Zk1kz57Z7GlpAJk5cghkzZrd7GupSrj+1k+tP7eT6Uzu5/tRO4239TZq01A2UHWzPY6aYJEmSJEmSuo5BMUmSJEmSJHUdD9qXxkCDsmWxU/T29rV7CpIkSZIkdTSDYtIY6KHHM7wkSZIkSRpH3D4pSZIkSZKkrmNQTJIkSZIkSV3H7ZPSGGjQYMKSi7Vt/N7ePuY8Oa9t40uSJEmSNN4YFJPGyP/s8922jX36oZ9s29iSJEmSJI1Hbp+UJEmSJElS1zEoJkmSJEmSpK7j9skhRMQpwC7V5TzgHuAC4ABgEnDnALdunpmXRMQU4ORa+YPAdcC+mfm32jiTgK8B7wNWAGYANwGHZOavau1Wq8Z+FzARuK+az8GZ+e9auyuBdwI7Z+bptfIpwDGZuWSLZ/0rsAawRmbe2uJ3WD4zt2z1sBFxV9XvES2eudkpmblr0/0XAlsAmzU973RgxUH6uiwz31O1OyIzj6zduwbwVWAy5be6l2d/qxm1dr8DNgR2zMyzauXTqj4nDjK+JEmSJEkah8wUG55fUwJVrwP2Az4BHFGr36yqr38ur9XPrspeRQn8TAAuioj6yeznA/+fvTuNsqOqGj7+b3lliASDEAXURxRhgyBERVB8EEdEBR5EEQSHQCKigCgqoCAiMzIKoijzIPOgoIIMCsg8KiCwmedExkBCCDHd/X6oaq1Ubnffm/SQm/7/1rqru885dc6um8qXvfY5tRYwAVgJ2BC4GFiqZ0BErEWRUBsNbAKsCOwIfBq4LiLqyZsZwL4RsUh/N1jOPRY4pYxhXpzFnN/HssA+wEzg2NraywIfBw4HJtbmek/l+s+Wbe+ttG3Wy/18gOK7Wgz4P4rvaieK7/XaiHh97ZIZwH61fxNJkiRJkrSAslKsOa9m5uTy99Mj4qMUSamDyrbnKv2NdFf6J0XE4cCFQAB3lsmsdYFPZuYV5bhHgZt7JoiIDuAE4H5g48zsKrsei4jbyvb9gOqJ62dRJOy2Bw7r5x4nAKcDvwPOiYjdM3OuXmeYma8Ar1TbImI94IfANzPzutol44FLgCOBjIilMvO5cq5nKnM8X/76TF/fd0S8hqJS7W7gc7Xv6u/AfcDeFEmyHmcAGwHblXFIkiRJkqQFmJVic+cV4LVzc2GZANuy/PPf5c9p5WfjiFi0l0vHAasCh1aSPABk5lMUCa0vlcmzHtMokj+7N6giq8Y0CtgCOA24hqKyreE2ybkREW8DzgF+nZnH1fo6gG2A0zLzMeBG4CvzuOT7gJUptj7Wv6vHgTOBL9WueYmiku3HEbHEPK4vSZIkSZLmcybFWlRuM9wSuKLSfHVETKt9qtvzXle2vQy8QJGAujAz7wUoK7LGA18GpkTE9RFxSESsXZljpfLnPb2EdjewJMUWyKrfAM8Bu/VxW5sDj2fm7ZnZTZEcm9ctlMB/Em4XAP8EvtNgyEeANwB/LP8eiO2bzXxXYyPiDbX2YyiSY7vM4/qSJEmSJGk+Z1KsORuUSa0ZwPXA1RRnefXYkqKSq/qZWumfXra9D/gGxVbHb1QXyMzzKM4c24jiLLF1gBsi4ke1WLp7ibGjUX+ZcNsd+HZEvKWXaycAp1b+PpXinpfrZXwrjqdI1m3Wy3bMCcDZmTmz/PtcYIVaQnButfpdzaQ4M+675TlnkiRJkiRpAeWZYs25GtiWYrvjU5n5b4CIWL7sfyIzH+jj+u5K/71lwuUMirci/kdmzgAuKz97R8RxwF4RcQjFOVhQbKH8e4M1VqGoQnu23pGZ50TE9ynebvm3al/5NssPAR+MiP0qXQsBW1OcUzZXImJXYGNgncycI65yS+fngYUj4uu1tSdSbKWcG9Xv6q4G/atQfE9TGvSdCXwP2IvKmW6SJEmSJGnBYqVYc6Zn5gOZ+WhPQmweHQ68NyI27Wfc3RSJy0UpEmH3ADuXB8n/R1nRtRVwRrn9sZFdgK9RJIqqJlAkn9Zg9kq3vYBtameUNS0iNqBIqI3PzH/0Mmwr4JkGa28LbB4Rr5ubtYFbKRJj32vwXb2VYvvq6Y2+q7JtV4rvZeW5XF+SJEmSJM3nrBQbGEtFxDK1thfLtzDOITNfKqvAfhoRv6PYXngOxdsl76DYerkmRSLrisx8CSAitgEuB34fEfsDTwCrAwdTvK1yj94CzMyrIuISYAegs5zvtcBXgf0yc7aKqoh4DtiToprtL2XzEhExrjb1lMx8pHbtihSVcMcBf2vw3XSWb5WcAJzbYO37ynvavPxOWpKZXeV3dSlwQUQcADxJkXA7GHiovLferr8iIi6neGvnq62uL0mSJEmS5n9Wig2MS4BJtc9W/Vzzc4pKpC0o3hJ5A7ATcBXFofT7U7xRcvOeCzLzBmAt4GXg98CDwNHl+utk5gv9rLkbsHDl740oDuY/rz4wMycB11JsY+yxLnB77XNIg3W2BMZQnJtW/14mATdHxHuB91CcIVZfeyZwYW3tlmTmtcDaFEmtiyi+qyOBPwAfyswX+5liV2b/riRJkiRJ0gKko7u7t912kprV2dXVvdl3jhi29U87aHtenjaz/4FaII0ZM4opU6YPdxgaoXz+NJx8/jScfP40nHz+NJza7fkbO3b0rRS78eZgpZgkSZIkSZJGHJNikiRJkiRJGnE8aF8aIKcdtP2wrd3Z2TVsa0uSJEmS1I5MikkDoIMOz/SSJEmSJKmNuH1SkiRJkiRJI45JMUmSJEmSJI04bp+UBkA33YxafOEhX7erq4sZ02cN+bqSJEmSJLU7k2LSANly96OHfM3T9xu+w/0lSZIkSWpnbp+UJEmSJEnSiGNSTJIkSZIkSSOOSTFJkiRJkiSNOJ4pNggi4iTgaw26bszMD0TEI8DbgA9n5t8q1+0FfCEzV4uIK4H1+ljm0cxcvo9xZ2XmFuW83ZX2l4EHgcMz86Sy/zRgqz7W6szM/zwrEbEO8Dfgysz8eHVgRCwKvAJslJl/KNsmA28C1srMmytjDwQ+kZlrln9vB/wK+Gdmrlabd1PgPOC5zFy6bNsAuLiXmN+emY+Ua+wKHJ2ZO1TmWxm4B3g38L/lun35YGbe0M8YSZIkSZLUJqwUGzyXA8vWPp+p9M8ADurj+k0r161atn2+0vb+ytgTG6z1jdp8Xy/b1wDOAk6MiE+VfdvXrn0V2KHy95trc00EjgTWjoh39HEPVTOAnzUxbirw5ohYu9a+DfBYL9eswJz3/3ht7W0j4p29XH9y7dq/AafU2m5tInZJkiRJktQmrBQbPK9m5uQ++n9DkajZNDPPr3dm5vM9v0fErPLX53uZc3o/awFMqYzZPyK+B6wP/DkzXwRerKwH8GKjOSNicWAz4H3AGymSVXv0szbAMcD2EfGZzPxTH+NmAmeX895Yrrkc8EngYGC7Btc8nZnT+pjznxT3tz/wxXpnZr5CUd1Gud5M4JUmvlNJkiRJktSmrBQbPo8DRwEHRMSQJScjYqGI+CLwBuDfczHFl4C7M/M+4FRgfEQs1MR1D1Ikxg6MiP6eu+OBLSJisfLvrwFXAE/MRbw9dgE+HxFrzcMckiRJkiRpAWFSbPBsEBHTap/6dskDgLEU2xHnxbYN1vpWbcypETGNYmvkWcBzwHFzsdZEimQYwGXAQsAGTV67D7A88NW+BmXmrcDDwBfKpm2AE/q4ZHLt3h/sZc6zaW4LpyRJkiRJWsCZFBs8VwPjap+DqwMy8wWKxNhPIuJ187DWWQ3W+m1tzA/K9k8Cfwe+nZkPtLJIRKwGvAc4s4y/EzidJpN6mfkMxXewd3kgf19OALaJiPWAMcCFfYxdh9nv/eO9jNsdWCciPtNLvyRJkiRJGiE8U2zwTG8y6XQUxaH2O8/DWi82sdbkcswDEbEZcFtE3JaZ97awzkTgtRSVWT1tHUBXRLwpM//VxByHAd8Cduxn3GkULyL4KXBaZs6srFn3UD9nigGQmQ9FxDHAgcAWTcQqSZIkSZIWUFaKDbPMnAHsSVHJNXaI1nwAOJ8WthJGxMLAlymSd9WqrDWA+yjO/Wpm7ZeBvYAfAkv2Me55iuqw9SjOGBsoTW3hlCRJkiRJCzYrxQbPIhGxTK2ts9xCuHtVWgAAIABJREFUWHcq8D2Ks7PmOA+rCaMarDWz+gbLBg4F/hERa2XmTU2s8TlgceD4zHyp2hERZwMTaD7JdjzwXYrE1D/7GDce+FZmPtfPfG8s34pZ9VxmzvEigcx8JiJ+RrGVUpIkSZIkjVBWig2eTwCTap/bGw3MzC5gV6C/c7Z6s3WDtfo6g4vMvBO4HNi3yTUmAJfWE2Klc4CVIuLDzUyUmbMoKsX6vN/MfKWJhBgUicT6/a/dx/jDgBeaiVWSJEmSJC2YOrq7u4c7BqntdXZ1dW/6/SOGfN3T99ue6dNmDvm6mr+MGTOKKVOmD3cYGqF8/jScfP40nHz+NJx8/jSc2u35Gzt29K3Amo36rBSTJEmSJEnSiGNSTJIkSZIkSSOOB+1LA+T0/bYf8jW7urqGfE1JkiRJkhYEJsWkAdBBh2d7SZIkSZLURtw+KUmSJEmSpBHHpJgkSZIkSZJGHLdPSgOgm25GLb7wkK7Z1dXFjOmzhnRNSZIkSZIWFCbFpAGy+V5HD+l6Z+019Af7S5IkSZK0oHD7pCRJkiRJkkYck2KSJEmSJEkacdw+qUEXEWOBnwKfAZYFpgB3AQdm5mXlmJWBnwAfA8YATwHnA/tm5gu1+VYAfgSsD7wRmATcAhyWmdeVY7qBzTLz3Nq1OwMHl2vvXuv7CPBXYGxmPjtQ9y9JkiRJkuY/VoppKJwHrAVMAFYCNgQuBpYCiIi1gJuA0cAmwIrAjsCngesiYkzPRBGxJnAbsCrwLeBdwMbArcBRTcQyATgQGB8RCw3AvUmSJEmSpDZkpZgGVZnQWhf4ZGZeUTY/Ctxc9ncAJwD3AxtnZlc55rGIuK1s3w/Yvhx7EvAQ8KHM7KwsdUdE/KqfWD4ILA3sBWxOkXT7w7zeoyRJkiRJaj9WimmwTSs/G0fEog36x1FUfR1aSYgBkJlPAacDXyoTYj1jD64lxHrGT+knlonAmZn5b+C08m9JkiRJkjQCmRTToMrMWcB44MvAlIi4PiIOiYi1yyErlT/v6WWKu4ElgbEU2yr7GturiFgc+CJwatl0CvCZiFim1bkkSZIkSVL7MymmQZeZ5wHLARtRnCW2DnBDRPyoMqy7l8s7Kv0dvYxpxhbAE5l5SxnTQxRbOL82D3NKkiRJkqQ25ZliGhKZOQO4rPzsHRHHUZzttW45ZFXg7w0uXQV4AXgWuK/SdnuLIUwEIiJmVdpeQ1GBdlCLc0mSJEmSpDZnpZiGy90USdl7KbZD7hwRsz2PEbEcsBVwRmZ2UyTN7gZ+0OjNkdW3VNbaVwXWBtanOJes57M2sHxEfHigbkqSJEmSJLUHK8U0qCJiKeAcijdM3gFMBdYEdgGuyMwXI2Ib4HLg9xGxP/AEsDpwMMWbKvcAyMzuiNi6HHttROxLkVAbRfEmyS+Wc9dNBG7PzMsbxHdF2X91pXm1iKgf2n9H/UUAkiRJkiSpfVkppsE2DbgB2Am4CvgnsD/FWyU3B8jMG4C1gJeB3wMPAkcDlwDrZOYLPZNl5k3A+yiSYceUP/9YXr9DffGIWJjikP9ze4nvHOALEfH6SttfKbZnVj+jWr5zSZIkSZI03+ro7u7tfHNJzers6ur+vx8eMaRrnrXX9kyfNnNI19T8acyYUUyZMn24w9AI5fOn4eTzp+Hk86fh5POn4dRuz9/YsaNvpfGuMivFJEmSJEmSNPKYFJMkSZIkSdKI40H70gA5a6/th3S9ri7P/ZckSZIkaW6ZFJMGQAcdnu8lSZIkSVIbcfukJEmSJEmSRhyTYpIkSZIkSRpx3D4pDYBuuhk1euEhW6+zs4tXp88asvUkSZIkSVrQmBSTBsgX9zl6yNY6+8dDe6i/JEmSJEkLGrdPSpIkSZIkacQxKSZJkiRJkqQRx+2TQyQiLgIWy8xPNOhbBbgbWB+4FNgsM88t+x4B3lYOfRV4BrgFOCEzL6rN093L8t/MzGPKMa8Btge2AQKYVc53cGZe3OS9fAT4a6Xp2XKO3TLzH+WYK4G7MnOHfuY6soxnu8w8ttK+HfAzYPXMfKTSvixwF7B/Zh4aEU8Ab24w9X6ZuUdEvBO4v9L+InAPsE9m/qky70LALsBXKb7vGcCDwMmZ+Yu+7kGSJEmSJLUfK8WGznHAxyJi+QZ9E4BHgSt6uXZvYFlgJWAL4BHggog4qsHYr5djq5+TK/2nA/sAvwFWAz4I3Az8ISK+2dIdwarl/J8FlgQuiYjXN3txRCwCbAUcCEys9pVJvGuAEyOio9L1G+BO4PBK257Mec8H1pb7RNn+AeA2iu9vlUr/PsB3gZ9QfC8fAY4Gmr4fSZIkSZLUPqwUGzp/BP4FbE2ReAEgIl4LfAU4OjO7IqLRtVMzc3L5+2PAtRFxD/DriDg/M6tVW1MqY2cTEV8ENgc+l5m/q3TtWiaojoiIizLziSbv6enMfBaYHBHfo0hifQD4c5PXb0qR4NsP2DEiVsvMuyr9Eyiqwr4N/DwitgbWo6ge66qMm9rbPVc8V46ZHBF7AN+iSHzdU/ZvDPwyM8+uXHNHk/chSZIkSZLajJViQyQzZ1FUbI0vtzD22AhYGjixxSmPB14APt/CNVsB99cSYj0OBhZucb6qV8qfr23hmonAaZk5HTifOavFJgHfBA6IiE9QVIftVN1O2aqIWJiimg7g35WuycBHI+KNczu3JEmSJElqHybFhtbxwP9QbOXrMQG4NDMfb2WizOwE7gPeUes6NSKm1T7vLvtW4r+VUfX5ngReojhnrCURsRRF9dtU4KYmr3kHsC5wRtl0CvDlsmKtGtfZwO8oqs+uysxGycODGtzzBrUx10XENIrk3UEU54WdW+n/LvAmYFJE3BURx0bEJrWtm5IkSZIkaQFhUmwIZeb9wNUUh9wTEcsBn6I4b2xudAD1w/V/AIyrfbLS39th/M32Vz1SJpqeBVaheEHA001euw1wRWXb45XAdGCTBmP3pnhW9+llroOZ856vro3ZHHgP8H/AA8DWmTmlpzMz7wTeRXHG2gnAWOA84EITY5IkSZIkLXg8U2zoHQccGxFvAMYDzwMXtjpJ+bbElZizMmtyZj7Qy2X3USR+Gs33ZmAJZn9TY38+ShH/M5n5UrMXlbGPB5aLiFmVrtdQbKE8q3bJrNrPumf7uOcej5dJyfsj4hXg3IhYJTOf7xlQnlN2U/k5LCLGU2xr/RDFeWmSJEmSJGkBYaXY0DsXmAF8maJa6pTM/HfflzQ0ERjD7FsA+3M6sGJENKrG2gWY2eJ8D2fmg60kxEobAEsBazJ7ddeGwMd7eUPngMnMKyiSf3v0M/Tu8ufigxmPJEmSJEkaelaKDbHMfCUiTgf2ApakOGesP6MjYhmKQ+zfCmwG7Aj8IjOvqo0dU46tmpaZ04CzgS8AJ0XEbhTndC0GfBXYAdixhTdPNmPpiBhXa3uaIqF3cWbeVuu7KyKSIlm4ZwvrjG5wz69k5ot9XHMocHpEHJKZT0XEBcBVwHUUbwldATiA4gD+G1qIRZIkSZIktQErxYbHcRQJsesys+HB9zV7ApMozsI6G3g7sGlm7thg7LHl2OpnN4DM7Aa2oDgU/5sUlVA3AmsDG2bmL+fhnhrZHLi99tmPoiKst4q0c4Cta2/o7M/ezHnPP+/nmt8DT/DfarFLKN4EehHFNtOTgYeAj1XPHpMkSZIkSQuGju7uVs5Vl9RIZ1dX98Y/PmLI1jv7x9szferMIVtP87cxY0YxZcr04Q5DI5TPn4aTz5+Gk8+fhpPPn4ZTuz1/Y8eOvpXi+KY5WCkmSZIkSZKkEcczxTSHiLgYWLeX7v0zc/+hjEeSJEmSJGmgmRRTIxMpDuBv5PmhDKSdnP3j7Ydsrc7OriFbS5IkSZKkBZFJMc0hM58c7hjaTQcdnvElSZIkSVIb8UwxSZIkSZIkjTgmxSRJkiRJkjTimBSTJEmSJEnSiOOZYtIA6KabUaMXHpK1Oju7eHX6rCFZS5IkSZKkBZVJMWmAfP7Ao4dknfN2G7q3XEqSJEmStKBy+6QkSZIkSZJGHJNikiRJkiRJGnHacvtkRJwELJ2ZG9ba1wRuBt5eNj3cyxSfzsxLKtctDDwJLAq8JTNfrM17JXBXZu5Qa58IHNtPuOsCKwOHZOaYBvcyA5iYmaf1M0/1ml2AA4B9M/Mntb5PAJcBdwOrZ2Znpe+JMo4jyr+vAT5Uds8EngP+AZwGnJ6Z3U3G8wTw5lrzc5m5dHVd4A/A/f1M92PgzHLcM8AKmTm1stY1wC2Z+Z3y79OArRrMc21m/m85ZhywD7AW8HrgXxTPyXcz8/FyzEfLtdcAFgMmAdcD22XmtCa+BkmSJEmS1EZGQqXYBsCytc9famM2oUig3QBs2cLcv63N+1fg9FrbjfMQe2+2AQ4Eto6I3v4N3wGMb2KuYyniXIHie7ipbDu3j7kb2ZPZ7/tdDcY8XBuzH/BIre3wyvjRwC5NrH0Jc/4bbwwQEW8CrgBeAD5NkaD8Wrnu6HLMu4GLgduA9YDVgG8CU4GhOT1fkiRJkiQNqbasFGvRc5k5uZ8xE4BTgSnATsCvmpk4M18BXun5OyJmAq/U14uIlgLuS0SsCywB/ISiQmp9iqRQ3ZHATyPi9DLO3kyvxPsEcFNE3Aj8sZz/1CZDm9rf91xWrf1nTERMAzr7+L6OBHaOiF9m5qQ+pn61j7V7vq8Jmfnvsu0R4MrKmE8BkzPz+5W2h4BL+7ofSZIkSZLUvkZCpVifIuJtwEcotuydD6xcbrebX00EzsjMWRTbHCf2Mu6I8ud3Wl0gM/8E3AN8fq4iHDhnlnHsNQ9zTKZI/n4uIjr6GLNMRKw3D+tIkiRJkqQ20s6VYhuUlUZVjZJ8V0dEV63tzZVzw7YBLsvMZwAi4nyKyrEdBzRaeH2DeAEWaXaCiFgC+AL/PQfsFODOiBjbE3/FKxTVZIdGxG8y87kW470bWKmF8QdFxL6Vv/fOzJ+1uGZdN7Ar8OeIOCwzs5dxGzb4bn+embtn5jUR8TOKba2/joibKKrEfpuZj5Vjz6CouLsyIp6m2PL6F+C0zHx2Hu9BkiRJkiTNh9q5UuxqYFzt0+g8sC0bjJsKUJ6ZNZ7ZtwieCmwVEYsOcLxTG8QxjuKA+2ZtCTyUmX8HyMz7gL8DX+1l/EkULxDYfS7i7aBISjXrYGa/r/5eQNCUzLyC4kywA/oY9lfm/F4Pq8yxK7AM8A3gn8DXgXsi4iNlf2dmfhV4C/B9im2kuwH3RsTKA3EfkiRJkiRp/tLOlWLTM/OBakNEzPF2R+CJ+riK9YH/AX4bEb+ttC9EsXXwtw2vmjtdjeKIiFYSTxOBVSNiVqXtNRQHxh9aH5yZnRHxQ+CciDiyxXjfBdzbwvhn+/ie59WuwK0RsU4v/S/3t3ZZ8XU2cHb5nfwD2IPK2WKZ+SRFUvTUiNiD4g2Y36f3LaqSJEmSJKlNtXOl2ECYQHGOWL3K6Niyb74REasD7wM+zuyxfhBYsbeEUWZeSPFGyX0b9fey1mcp3tJ47jyGPSDKyrjTgXndjtkz36sUB+kv3seY54F/9TVGkiRJkiS1r3auFGvWUhGxTK3tReB1wMbAZpl5V7UzIo4Hro+IFTLzwbJ56QYH8D+dmU8NStRz+jpwc2b+td4REVdSVDNd18u1uwDXAP9u0Deq/H7+H7AssCHwA4pk4RnzHvaA2QNIii2dt9T6Fmnwb9yZmc9ExCYUVX9nAvdRJII3oXjj5I8AIuJbwGrABcCDwCjga8AqwN6DcjeSJEmSJGlYjYRKsUuASbXPVhTncL0K/Ll+QWbeCDzO7NVimwO31z47D2bgPSJiEYqYe6vcOgf4YkSMbtSZmdcDv6Pxof5fp/hOHgIuAtYGtgW+kJn1FxQMm8x8FDgaaHTW2wbM+W98c9l3F8VLBw6lOH/tRmAL4Lv8t/LsRootqMdQnDl2FfC/wJcz88xBuB1JkiRJkjTMOrq7WznSSlIjnV1d3Z/d+4ghWeu83bZn+tRW3s+gBd2YMaOYMmX6cIehEcrnT8PJ50/DyedPw8nnT8Op3Z6/sWNH3wqs2ahvJFSKSZIkSZIkSbMZCWeKtYWI+BrF9sBGHszMNYYynh7za1ySJEmSJEnzwqTY/OMC4Npe+oZzr9z8Gtd857zdth+SdTo755uj3iRJkiRJalsmxeYTmfkS8NJwx1E3v8Y1v+mgw3O+JEmSJElqI54pJkmSJEmSpBHHpJgkSZIkSZJGHLdPSgOgm25GjV54nubo7Ori1ZdnDVBEkiRJkiSpLybFpAHyuUN+MU/XX/D9HQYoEkmSJEmS1B+3T0qSJEmSJGnEMSkmSZIkSZKkEcftk2ooIk4CvlZpeg64Afh+Zt4bEcsDDwPvz8xbatdeCdyVmTuUf68B7A2sDYwBngZuBnbOzEfLMd3AZpl5bvn3I8DbgA9n5t8qc+8FfCEzVyv/Hg+c2MttLJaZMyJiLPBT4DPAssAU4C7gwMy8rJzn7cA+wEeAseX93g7skZm3N/WlSZIkSZKktmFSTH25HPhK+ftywMHABcAqzU5QJqSuAP4MfJYi2fS28vcl+rl8BnAQsE4/46YDK9QbM3NG+et5wChgAvAA8EZgPWCpMsbXApcBDwJfBJ4E3gx8EnhDP2tLkiRJkqQ2ZFJMfXk1MyeXv0+OiMOBiyJisRbm+BCwJLB1Zs4s2x4Brmri2t8A20bEppl5fh/juitxziYixgDrAp/MzCvK5kcpKtV6rEqRVNsgMx+ojLmuiRglSZIkSVIb8kwxNSUiRgObA3dm5istXDqZ4jn7QkR0tLjs48BRwAERMbcJ3GnlZ+OIWLSXMc8AXcDn52EdSZIkSZLURkwAqC8bRMS08vfXUSSpPtPKBJl5Q0TsD5wMHB0RNwNXAr/tOU+sHwcAE8vPMb2MeV0lzh53ZOY6mTmrPHfsWIqqs9uBa4FzMvPGMsYnI+LbwM+AH0fErcDVwJmZ+c9W7leSJEmSJLUHK8XUl6uBceVnbeAvwKUR8dZWJsnM3YFlgG2BOynO9ro7Ij7exLUvUCTGfhIRr+tl2PRKnD2fzStznEdxJtpGwMUUZ5TdEBE/qow5uoxxS+Aa4P+Av0dEz5lqkiRJkiRpAWKlmPoyvXLGFmUF1YsUya3DyubXN7huTDnuPzLzOeAc4JyI+CHFmx1/THEIf3+OAnYAdu6lv7saZyPlofuXlZ+9I+I4YK+IOKTnrLPMnApcCFwYEXtQvBxgH+DUJmKUJEmSJEltxEoxtaKb4uytUWUF17PA+6oDImIJ4J1A9jZJmYR6EFi8mUXLhNaewA+AsXMV+ZzupkgKNzxnLDO7gXubjVGSJEmSJLUXK8XUl0UiYpny9yUpqrUWBy4q2w4DdouIp4DrgaUoqr+epagKIyI2BLYAzgTuAzootjF+BvhJC7GcCnwP2IYioVbVUYmz6hmKqrVzgBOAO4CpwJrALsAVmflSRIwDflqucTcwE1ivXOuMFmKUJEmSJEltwqSY+vIJYFL5+1SKyqnNMvPKsu1nFG923AV4BzCF4jyuj1TeUHl3OeYQ4K3ALOBh4PvAz5sNJDO7ImJX4E8NukdV4qxakeLlADcAO1FUsC0CPAmcDuxbjnsCeIiiGm15igrKx8qYD2w2RkmSJEmS1D46uru7hzsGqe11dnV1f3r/w+dpjgu+vwPTp84coIg0kowZM4opU6YPdxgaoXz+NJx8/jScfP40nHz+NJza7fkbO3b0rRQ7xubgmWKSJEmSJEkacUyKSZIkSZIkacTxTDFpgFzw/R3m6frOrq4BikSSJEmSJPXHpJg0ADro8DwwSZIkSZLaiNsnJUmSJEmSNOKYFJMkSZIkSdKI0/T2yYjYBLgoMzsHMR6pLXXTzajRC7d8XWdXF6++PGsQIpIkSZIkSX1p5Uyx3wJTI+Jk4ITMzEGKSWpLG//8qJavuXCnHQchEkmSJEmS1J9Wtk8uA/wEWA+4OyKuiYitI+J1gxOaJEmSJEmSNDiaTopl5tTM/HVmfgB4N3AjcAAwKSKOjYgPDFaQkiRJkiRJ0kCaq4P2M/Nu4HDgN8DCwObA3yLixohYfQDjkyRJkiRJkgZcK2eKERGvBT4HbAN8nKJabDvgLGBJ4KDy91UGNkwNpYg4CVg6Mzds0PcI8IvMPKT8+0qKLbV1S2bmlD76z8rMLco51gP2BNYARgGTgBuAbwI7U2zb7ctvgY8Cq2XmC5VY3wXcBnwtM8+KiG5gs8w8t8F9fQT4ay/zr5KZ9/YTgyRJkiRJaiOtvH3yKOBLQDdwKrBzWTHW45WI2B14ZEAjVDs4EfhRre3Ffvpfgf8kri4BjgG+A7wMvBPYBFgEOKTs63El8IeyvccLwPXAL4Ctynn/H3AycH5mntXCvawKPF9re6aF6yVJkiRJUhtopVLsXcAOFEmGmb2MeYqiYkcjy/TMnDyX/esDz2XmdyttDwGXVv6e1vNLRMwCptXni4ivALdExOcz8zzgh8By5fyteDozn23xGkmSJEmS1GaaOlOs3Db5LHBzHwkxMnNWZl41UMFpRJgMjI2IeUqmZuY/gd2BX0XE+sAewNbV7ZSSJEmSJEk9mqoUy8x/l4mGHw5yPGpP20bE+Mrfp2Xmdn30A+ySmb8EzgE+BfwlIp4GbqI42+vUzGx12+LhwMbAxcAxmXlpP+MbeSQiqn9Pycy3zMU8kiRJkiRpPtbK2yfPBzYdrEDU1s4CxlU+e/bTP47icHwyszMztwbeAnwfeAz4AXBvRKzaShCZ2Q3sS/Fc7zOX9/LRWpzrzuU8kiRJkiRpPtbKmWKPAXtExLrALRQHov9HZh42kIGprbyYmQ/MQz+Z+STFCxxOjYg9gPsokmPjW4xlVu1nqx72TDFJkiRJkhZ8rSTFxlO85W/18lPVDZgU04DIzBciYhKw+HDHIkmSJEmSFkxNJ8Uy8+2DGYjmO0tExLha25S5nGtURCxTa5uZmc9HxDcotileADwILAp8FXg38LO5XK8vyze4r4cqv78xIur/L57v6wUTkiRJkiSp/bRSKfYfEbE40J2ZL/c7WO1qXeD2Wtt5cznX1uWn6lrgfykO1l8H+BWwHDAduB/4amaeNpfr9eXgBm0bAdPK3//ZoP+TwOWDEIskSZIkSRomHd3d3U0PjojtgV2BN5dNTwAHlW8RlEaszq6u7vUPbn0H8YU77cj0qRahad6MGTOKKVOmD3cYGqF8/jScfP40nHz+NJx8/jSc2u35Gzt29K3Amo36mn77ZET8CDgQOB5Yv/ycCBwYEbsNQJySJEmSJEnSkGhl++R2wLaZeUal7YqIuB/YnyJhJkmSJEmSJM33WkmKvRG4uUH7TcCbBiYcqX1duNOOLV/T2dU1CJFIkiRJkqT+tJIUuw/YEti71r4lkAMWkdSGOujwbDBJkiRJktpIK0mxvYCzI+LDFG8O7KZ4e+B6wGYDH5okSZIkSZI0OJo+aD8zzwfWBiYDGwIbl7+vlZm/G5zwJEmSJEmSpIHXSqUYmXkr8OVBikVqW910M2qJhZsa29nZxasvzxrkiCRJkiRJUl+aTopFxP/00tUNzMjMZwYmJKk9bXT0kU2Nu2j7bw9yJJIkSZIkqT+tVIo9QpEAaygiXgJOBHbJTMtgJEmSJEmSNN9qJSn2JeBnwDHAjWXb2sC2FIfwjwH2AKYCPxm4ECVJkiRJkqSB1UpS7JvAd8sD93v8JSIS2Ckz14uIp4GfMh8mxSKi1yq30smZOb427mXgQeDwzDypl3nvAN4FvCsz76u0XwQslpmfaHDNKsDdwPqZeVkfsX0zM4+JiI8AfwXGZuaz/dxHQxHxRuAx4Glg+czsqvU/ArwN+HBm/q3Svhfwhcxcrfx7PEVFIEAXRRL0AeDPwM8z8+km45lt3l7GrEzxLH2MIun6FHA+sG9mvlAbuwLwI2B94I3AJOAW4LDMvK429khge2C7zDy21jce+EVmLt7MfUiSJEmSpPbU9NsnKarC7mzQfhfw/vL364G3zGtQg2TZyufrDdp2qoz9etm2BnAWcGJEfKo+YUSsBYwFTgEm1LqPAz4WEcs3iGUC8ChwRYM1q5+Tm767/o0HLgJmAHPcS2kGcFATc02niO8tFM/FERRvI72rTPjNs/K7vQkYDWwCrAjsCHwauC4ixlTGrgncBqwKfIsiSbkxcCtwVG3eRYCtgAOBiQMRqyRJkiRJaj+tVIo9SrFV8ge19q9TVCBBkSB6fgDiGnCZObnn94iYUm+rmVLp2z8ivkdRgfTn2rgJwOnA74BzImL3ynlqfwT+BWxNpXIuIl4LfAU4ulatNaWPeAbCNhT/duPKuC9uMOY3wLYRsWmtIrCuuxLrJCAj4ncUialjgPXmJdCI6ABOAO4HNq58T49FxG1l+37A9uXYk4CHgA9lZmdlqjsi4le16TelOB9vP2DHiFgtM++al3glSZIkSVL7aaVS7HsUSYR/RsRJEXFiRNwF7ADsXI55P3D2QAc5XCJioYj4IvAG4N+1vlHAFsBpwDUU1VMb9vSXybGTgfERUf2eNwKW5r9bEAddRKwLLAVcUsa7UUSMbTD0cYrKqgMiopWEKZk5jSIh9uFe5m7FOIqqr0Pr2zwz8ymKROSXyoRYz9iDawmxnvFTak0TgdMyczrFVkyrxSRJkiRJGoGaTopl5h+BlYALgSUozni6EIjM/FM55peZuXPvs7SNUyNiGvAqxfbJ5yi2Q1ZtDjyembdnZjdFsqm+hfJ44H+A6rliE4BLM/PxRmvWPu8eoPuZCJyVmf/OzIcpXpTw1V7GHkBR8Tc3yaK7y59vn4trq1Yqf97TxzpLUsS5Yj9j/yMi3gGsC5xRNp0CfLncUilJkiRJkkaQVquBHgN+OEixzE9+QFFV9VbgMIoqpAdqYyYAp1b+PhX4YUQsV1YzkZn3R8TVFFsXL42I5SjO89q8jzWrHmswriV74k4fAAAgAElEQVQRsQTwBYrD6quxfhc4tD4+M1+IiAOAn0TEqfX+fnSUP/t7qUGzepunuk5HL2Ma2Qa4orL180qKCr9NKJKfkiRJkiRphGgpKVZWLn0DeAcwITMnRcQmwKOZeftgBDhMJpdJsAciYjPgtoi4LTPvhf+8FfFDwAcjYr/KdQtRnCFWbTsOODYi3kBx2P3zFBV2va050LYERgHXRkS1faGI+FBmXtvgmqOYfVtss95Fkah6ZC7irOp5i+eqwN8b9K8CvAA8Wxm7CtDrMxgRC1F8/8tFxKxK12soK+nmLWRJkiRJktROmt4+GRHrAzcDbwY+DixWdq1A5SD5BU2ZqDof+FmleQLFFsQ1KM606vnsBWxTnnXV41yKtzp+maJS6ZTMnO18skE2AfhFLc5xFC8CqG/3BCAzZwB7UlSvNXU+WEQsDmwHXJWZz8xjzH+n2A65c+08Nspqu62AM8ptq3+n2E75gzLxVY+r5y2VG1Ccq7Yms38PGwIf7+UtoZIkSZIkaQHVSqXYPsDOmfnLiJhaab+S4hD+BdmhwD8iYi2KaqSvAvvV31oYEc9RJJM+CvwFIDNfiYjTKRJmS1KcM9bImIhYptY2rTzAvsdqPW/OrLijfhh9JZ7VKZJAExrEeipwfETslJlTG1x+KsW/6zbAg7W+jkqsr6d4wcKu5e8bN769hhaNiHG1tumZeV9EbANcDvw+IvYHngBWBw6meBPqHgCZ2R0RW5djr42IfSkSaqOATwNfLL+DicDFmXlbbb27IiLL+9yzbHtNg7hm+ZZKSZIkSZIWHK28fXJV4E8N2p+neDvjAisz76RIuuxL8fbIscB5DcZNAq5lzkPqj6NIiF2Xmb0dCH8sMKn22a025q8USbnqZ1QfoU8E7s/MOxr0/YHi3/9LjS4sE227Aos26B5VxvcUcBPFNsuLgNX6uL9GVmDO+zm9XP8GYC3gZeD3FIm5oynOXVsnM1+oxHoT8D6KZNgx5c8/ltfvEBFvoqgIO7eXOM4Btq5UpS3WIK4rW7gvSZIkSZI0n+vo7m7uTPSIeBzYIjOvLSvF1sjMhyLi88BBmfnOwQxUmp91dnV1f/KIOd5b0NBF23+b6S/NHOSINJKMGTOKKVOmD3cYGqF8/jScfP40nHz+NJx8/jSc2u35Gzt29K0UO8jm0Eql2OnAwRHxForD1P9fRKwHHAKcMs9RSpIkSZIkSUOklTPF9gBOojjPqYPicPMOimTZfr1fpsEUEdP66P50Zv5tyIKpmF/jkiRJkiRJghaSYuUbE7eKiB8D76WoMrs9M+8frODUlPqB8FVPDlkUc5pf4xo0F23/7abGdXY2fC+CJEmSJEkaQk0nxSJiT+CQzHwIeKjSvhjwg8zcexDiUz8y84HhjqGR+TWuwdJBh+eESZIkSZLURlo5U+wnwOIN2keVfZIkSZIkSVJbaCUp1kFxwH7de4DnByYcSZIkSZIkafD1u30yIqZSJMO6gYciopoYWwhYFDhmcMKT2kM33YxaYuF+x3V2dvHqy7OGICJJkiRJktSXZs4U24GiSuwEYHfgxUrfTOCRzLx+EGKT2spGvz6y3zEXfaO5w/glSZIkSdLg6jcplpknA0TEw8B15VsoJUmSJEmSpLbV9NsnM/Oqnt8jYhlg4Vr/YwMYlyRJkiRJkjRomk6KRcQSwFHAF6klxEoLDVRQag8RcRLwtQZd7wG+AyydmRuWY/eieEvp8Zk5sTLH8sDDwPsz85ba/EcC2wPbZeaxtb7xwInAFZn5iVpfN7BZZp5baRsH/BBYDxgDPAFcAxyamXdW4mjk05l5SW/fgyRJkiRJaj+tvH3yUGANYBNgBrAl8AOK5MLmAx+a2sTlwLK1z129jJ0BjI+IVfubNCIWAbYCDgQm9jKsE1gvIj7Vz1wbAjcCiwNfAVYBtgAmlfNXbdDgfv7SX7ySJEmSJKm9NF0pBnwa+FJm/i0iOoFbM/OsiJgEfAM4t+/LtYB6NTMn1xsjotHYB4FHgQOAjfuZd1PgEWA/YMeIWC0z68m2GcDJwEERcVlmdjWIYxRFRdmfM7O65sPALRExpnbJc43uR5IkSZIkLVhaqRQbQ5HQgOINlEuVv18PrDOQQWmBthvw2YhYt59xE4HTMnM6cD69V4v9FFiBoqqskU8BSzNnRRgAmTml34glSZIkSdICp5Wk2IPAO8rf7wG2iIgOioqe5wc6MLWNDSJiWuVzcV+DM/NO4BTgZ72NiYh3AOsCZ5RNpwBfLrdU1ud7GjgE2KdRP7Bi+fOe/m8FgKtr9zMtIl7f5LWSJEmSJKlNtJIUOwlYvfz9QIotkzMpEhIHDWxYaiNXA+Mqn94quqr2BMZFxKa99G9DcYB+zzbGK4HpFOfZNXIosCjFofx1HU3EU7Uls9/POGBqi3NIkiRJkqT5XNNnimXm4ZXf/xIRKwNrAvc1OOtJI8f0zHyglQsy8/GIOIribLHPVvsiYiFgPLBcRMyqdL2GIuF2VoP5pkXE3hTVYifUuu8rf64CXNdEeE+0ej+SJEmSJKn99FspFhGfjohH6lvIMvMx4ArgDxGx/mAFqAXWAcBY5qws24DivLo1mb1aa0Pg4xGxfC/z/QZ4juLMsqpLgWcbtAPQ4KB9SZIkSZI0AjRTKbYDcHBmvljvyMwXI+IgYCeK5IPUlMx8ISL2B/apdU0ELs7M22rtd0VEUmyt3LPBfLMi4kcU549V21+OiInAORHxR+AI4H7gDcDngPcye7XaUhGxTG36FzPzldbuUJIkSZIkzc+aOVNsdeDyPvr/AqwxMOFohDkKeLrnj4h4E0VF2Lm9jD8H2DoiGj63mXkucEeD9t8DH6Q4l+w0IMu53grsUht+CTCp9untzZaSJEmSJKlNdXR3d/c5ICJmAO/OzPt76V8J+EdmLjYI8UltobOrq/uTvzi033EXfePbTH9p5hBEpJFkzJhRTJkyfbjD0Ajl86fh5POn4eTzp+Hk86fh1G7P39ixo2+lOKJpDs1Uij3Bf9862cjqwJNzEZckSZIkSZI0LJpJiv2R4q1+c1SCRcQoYO9yjCRJkiRJktQWmjlofz/gC8D9EXEUcG/ZvgrFIfwdwP6DE57UPi76xrf7HdPZ2TUEkUiSJEmSpP70mxTLzKcjYh3gVxTJr46yqxv4M/CtzPzX4IUozf866PCsMEmSJEmS2kgzlWJk5qPAZyJiSeCdFImx+zPzhcEMTpIkSZIkSRoMTSXFepRJsJsHKRZJkiRJkiRpSDRz0L4kSZIkSZK0QGmpUkxSY910M2qJhfsc09nVxavTZg1RRJIkSZIkqS8mxaQBstFJP++z/6LxOw1RJJIkSZIkqT9un5QkSZIkSdKIY1JMkiRJkiRJI47bJ0eAiDgJ+FqDrhsz8wMR8QjwtrLtVeAZ4BbghMy8qDLP8sDDwPsz85baGlcCd2XmDpW2ccAPgfWAMcATwDXAoZl5Z+36C4HPAhtk5mWV9ieAN/dxe1dk5ifKcYdk5hGVa98F7Al8tFz/SeB8YN/MnFIZdw3wIeBLmXlmpX1iOeeYPtaXJEmSJEltyEqxkeNyYNna5zOV/r3LtpWALYBHgAsi4qi5WSwiNgRuBBYHvgKsUs47CTiwNnZZ4OPA4cDE2lTvqcT72bLtvZW2zXpZ/wPATcBiwP8BKwI7ARsC10bE62uXzAD2i4i+T8uXJEmSJEkLBCvFRo5XM3NyH/1TK/2PUSSO7gF+HRHnZ+Zfm10oIkYBJwJ/zsyNK10PA7dERL3yajxwCXAkkBGxVGY+B5CZz1Tmfb789Zm+7iUiXlOufzfwuczs6rmviPg7cB9FErB68v0ZwEbAdmUckiRJkiRpAWalmPpyPPAC8PkWr/sUsDS1irAeta2LHcA2wGmZ+RhFddlX5ira/3ofsDLF1seuakdmPg6cCXypds1LwD7AjyNiiXlcX5IkSZIkzedMio0cG0TEtNrnoL4uyMxOiqqqd7S41orlz3uaGPsR4A3AH8u/TwEmtLhe3Ur9rH83MDYi3lBrP4YiObbLPK4vSZIkSZLmcybFRo6rgXG1z8FNXNcBdLe4VkcLYycAZ2fmzPLvc4EVImLtFtdspLe4Oxr1lzHsAXy3POdMkiRJkiQtoDxTbOSYnpkPtHJBRCxEUXV1U9n0Yvmzfkg9FG937Om/r/y5CnBdH/OPodiauXBEfL3StRDFgfs3thJvRc/6qwJ3NehfBXgWmNKg70zge8BewM1zub4kSZIkSZrPWSmmvkykSHadC5CZL1Akk95XHVSewfVOIMumS8txuzWatHLQ/lbAM8AazF7Bti2weUS8bi7jvpUiMfa98tD96tpvpXgL5umZOUclWdm2K0UF28pzub4kSZIkSZrPWSk2ciwSEcvU2jorb3ccXfa/FngrsBmwI/CLzLyqcs1hwG4R8RRwPbAU8GOKJNg5AJn5ckRMBM6JiP/P3r3HazaWDRz/7Rwb1HQYUXqT4sqhqKSDV3gJRV4pFGEwHfGWHCrKoUJEB1TKsRyiEUpFItJBiKShLsaZiGjGjGGY2fv94157rFnzPHvvZ89m7z379/18ns/ez7rvdd/XWnvNH3N9rvtevwC+CdxG2TvsfcCbgC0piafzMnO+aq6IuJWytHMH4NROLzQzuyNid0py7oKIOBK4n2eWjN4BHNzH+ZdHxGXAnsDsTueXJEmSJEkjn5ViY8emwAONz19q7QdXx6YCPwZeDWybmXs3xjkaOISyGf1fgfOBx4GNMvOJ3k6Z+VPg7cAs4ExKFdlkSsLtgIh4E/BGqiq0umpvr59RKtUGJTP/ALyVktS6CLgdOA74ObB+Zk7v43Qo1WJLDnZ+SZIkSZI0snX19HS6h7qkprnd3T3vOumYPvtcNPFTzHrsqT77SIMxfvw4pk2bNdxhaIzy+dNw8vnTcPL503Dy+dNwGm3P34QJy10PrNuqzUoxSZIkSZIkjTkmxSRJkiRJkjTmuNG+NEQumvipPtvndnc/R5FIkiRJkqT+mBSThkAXXe4XJkmSJEnSKOLySUmSJEmSJI05JsUkSZIkSZI05rh8UhoCPfQw7gVLzndsbnc3s2fOGaaIJEmSJElSX0yKSUPkf8/65nzff7rTp4cpEkmSJEmS1B+XT0qSJEmSJGnMMSkmSZIkSZKkMcflkwMUEacDu7ZoemNm3hgRrwAOAd4DLA88DPwSOCwz72uMNaC+jTnnAP8BbgbOA76fmU93eA3bApOBczJzp0bbysCdwKPAKpk5vdZ2JTAlM/cayriqcTesvj4NPAL8FTgTOCsze2p97wJeVX19ErgbOAU4prdf7Rrekpl/ro71VGO/LjPvqI13OvDSzNyq+n4o8IHMXKvWZz3K3+XnwKTMdIMwSZIkSZIWEVaKdeYyYMXGZ0pEvBr4M7AWJVn0WuDDwJrAdVWyBoBO+jbmXBnYDLgIOAz4XUQs02H8k4CjgW0i4kVt+owDPjeAsYYqrtOqcVYBtgauBr4HXBARizX6fqnquzpwDHAE8NEBzDEXOLyDmIiITYHLgR8Au5kQkyRJkiRp0WKlWGdmZ+aDzYMR8W2gG9g0M2dVh++pEiu3Ad8GtqyOd9K3Oef9wI0RcSlwA3AApeKsXxGxErAxsDOwHrATcEKLrscBn4qIEzLz/j6GHJK4gFm1ce6jJAavBn4F7EJJmvWaUet7ckR8gpKQ+14/cxwP7BsRx2Tm9f0FFBHbAWdQKveOHOB1SJIkSZKkUcRKsYUUES8GtgC+XUtyAVB9/w7w7oh4USd9+5ozM6cAlwDv7yDU3YBLM/MRSsJnUpt+k4G/UaqyOjLIuFqNc2kVQ8txIqIrIjaiVIwNZKnmtcBPKFVyfYqIjwFnAXuZEJMkSZIkadFlUqwzW0TEzNrnYmBVoAv4e5tzbqnaV+2wb39uoSw57FdEdFGSYmdUh84DVo2IN7c55QBg14hYcyDjDzauQYxzeETMBGYDV1Du1XEDHO9AYIOI2KKPPqsCJwL7ZObJHcYrSZIkSZJGEZNinbkKWKf2qVdb9bQ8oyRumu2d9G2na4D9ADYBXkTZ94vMnAlcSJtqscz8LWX54mAqpTqJq9Nxvk657xtSkmKHZeYfBzJYZk4FTgK+GhHtnvsHgOuAfSLivwYVtSRJkiRJGhXcU6wzs6rkyjwR8QQlebMmJdHUtHrVfnv1vZO+fVkDuKPfXsUkYDzweET0HusCZkTEvs2lnJXPAn+NiA0GOMdg4up0nEeq+z81It4P3BYR12TmFQMc8zDKvd2pTftMYFPKEtArI2LjzLx7ELFLkiRJkqQRzkqxhZSZj1Kqqj4ZEePqbdX3PYGLM/PRTvr2NWdErEXZm+y8/uKr9jHbhvKmy3qV29qUZYgfaHNdU4AfMoB9uAYTVz/jbE55O2fbcTLzP5QXBXyjWh7ar8x8iPLWyi8DS7Xp8xiwOeXlAb+t3hYqSZIkSZIWMVaKDY29gD8Cl0XEFyhvkXwNcDilImuvQfYFWCoiVqAkMCdQlkIeCFxPSfD0Z2dgBnBWZs6tN0TE+ZQqsh+2Ofdg4Nbq9ylDHFevcdU4iwMrAu+h7Gn2U+DMfs79NqWibTvgxwOc71jgE5RE4eWtOmTmjGrvsV9QEmMbZ+ZAqvckSZIkSdIoYaXYEKgSJusCN1M2s78DOJuyof5bMvPOwfStbErZ6+oeShJna8oywHdm5uMDCG8P4IJmQqwymbL5/Gptruteykb2S7doXti4eu1WjXMHZc+ztwMfB97XJuZ6fA9T7uGhfewT1jxnZhVnq2uq93uckqC7lZIYG8jLDyRJkiRJ0ijR1dMzFHuiS2Pb3O7uns1P/9p8x36606eZ9dhTwxSRxpLx48cxbVqrrQGlZ5/Pn4aTz5+Gk8+fhpPPn4bTaHv+JkxY7npKcdICrBSTJEmSJEnSmOOeYqNc9XbIi9u1Z+ayz2E484zUuCRJkiRJksCk2KLgz5S3SY40IzWuZ81Pd/r0fN/ndncPUySSJEmSJKk/JsVGucx8Apg63HE0jdS4ni1ddLl/mCRJkiRJo4h7ikmSJEmSJGnMMSkmSZIkSZKkMcekmCRJkiRJksYc9xSThkAPPYx74ZLzHZs7t5vZM+cMU0SSJEmSJKkvJsWkIbLdj78x3/fJ2+8zTJFIkiRJkqT+uHxSkiRJkiRJY45JMUmSJEmSJI05w7p8MiJOB3YFTsnMSY22o4H9gV9k5la148sD9wAPAStnZnfjvLuAV1VfnwDuAI7PzO9V7YsB+wETq36zgduBH2bmcR3EPtA43pmZv6sdPxT4QGauVX2fCJxWNXcDM4CpwK+Ab2XmQwOM51DgEBr3MiJWBu4E3pKZf26ccxywJ/DxzDypdnxf4GBgxcyc1ThnMeBe4LTMPCgirgSmZOZetT4vAz4HbAW8EnisuqYfVefNbIz5GeBrwFcz86Da8TOBnfq47LmZuXjVb9nM3KZ27ouBLwDvA14OTAMuBw7LzKz1+wpwEPC9zPx47fhrgduAN2bmjX3EIEmSJEmSRqGRUCl2L7BDRCzTeyAiFgd2piSdmiYCFwFPApu3GfNLwIrAG4ALgRMjYoeq7RBKsu0wYC1gQ+B44IUdxj2QOJ4EjhrAWLOqeFcC3gp8E9gamBIRq3cQ05PAxIhYs7+OEbEUJeH0VWBSo/mHwNLAdi1OfTewAnBqm3FXBm4AtgC+CLwJ+B/gGGATynU17VHFMbFKuvXak3Jfej+zgb1q31/RJoaXAH+i/F32BlYFtgHGA9dGxJsapzwJ7BER0Wo8SZIkSZK06BkJG+3fRKnk2Z5nKqa2pCQqrgJe0ui/OyWptQ4lmXJxizFnZOaD1e9fiIjtKUmRcylJmRMz85xGDJ0aSBzfBz4aEdtm5vl9jNVTi/cBICPiQkpy6URK4m4gbgfuBo6kdfKpblvgLuBwYO+IWCszpwBk5sMR8TPKNf6gcd4ewJWZeXubcb9LqXhbNzMfrx2fApwfEV31zhHxduClwKHADpSk28+rOKYD02t9AabX7lU7R1KeqdfW+t4TEe+l3NNTKX+3Xgn8qzpv237GliRJkiRJi4CRUCkGcAolAdNrd0qCrKfeKSI2oCTJLgHOBN4bERMGMP6TwBLV7w8CG1VL/AalgzjupVShHVlVvw1YtcTwROCdA7zGXp8Dtqxi7Msk4MxqeeT5LFgtdko192t7D1T3bKuqbQHVksXNgW83EmLzZGZP49Ak4JzMfJpyL5txdKSqNNuBshx2vuRZZs4Fvg6s3aKa7rPA/0bEOxZmfkmSJEmSNDqMlKTY2cC6EbFqRKxAWXp3eot+k4BzM/PpzLwTuAbYpd2gEbF4tWfX6yn7SQF8Bngx8EBE3BwRJ0fEts0Kpn50EseRwAQGl+y5pfr56oGekJl/oyx/PLpdn4hYBdiAsscXVf8PV0sqe11KWb5aT1buQtnz7Cdthl4V6KJUXtXnuy8iZlafE2vHl6VUCJ5Ri+M91TMwWCsALwD+3qa9957Ot1Sy2jfsbPq4b5IkSZIkadExIpJimfkf4AJKAmZXyvK8+fYTi4gXAB/gmQQK1e97tBjy8IiYSdlo/9uUTdy/V811C2UvsbcCJ1Mqvn4M/CIi+r0fHcbRe21HAofU900boN5EXbO6qj8HA+tERLulgLsDl9cqqa6k7Gs2b6P66sUBpwO71vb52g04KzOf7DCeDSjLFa+l7FXW64PAfb0vAMjMO4DrKM/Awmp3z/q6p1+gJGf7W3oqSZIkSZJGuZGwp1ivUyn7V82kJHWadgTGAX9o7Ie+WESsn5l/qB37OmWJ3yzggeaSvSrhc131+UZEfJiS2HonJUHUl07i6HU8ZYP4z/QzdtMalOTNXZ2clJn3RsTxlGTclvW2KsE1EXh5RMypNT2PqgKuduxUSqJo84iYBqxOuf52plbxvq4Rz53V3LMa/SeVwwvEMYGBvaCglQcp1WztXjbQ++KC25oNmXl3RHyHsun/+wY5vyRJkiRJGgVGRKVY5XLgKcqm6xe2aN8DOIFScVT//IIFq7QeycypmfnPFntYtdK7pG7ZAfTtJA4Aqsqqgykb8w9of7BqaeHHgd9m5sMDOaeh3bLNLSjVces24t8K2KR6e2Rv3HcDl1Guaw/g+mqZYUuZ+Qhl2eVeVfxtVXt6vRXYrBHHW4GVI+KdA73QRgxzKYm9nZvLMKuE4GeAm3pfKtDC4ZRN+ncbzPySJEmSJGl0GDGVYpnZExFvALoyc3a9rTq+LrBHM5kREWcAp0TEpzJzRn/zRMR5wB+AP1Kqil5NSSA9VB3r69yFieMMYF/K0sXmmxu7agmcFwJvoWz8/kL6f4tkS5n5n4g4Avhyo2kScHFm3tA4PiUisoqvXql3CmUD/KcoSb3+fJJyf6+PiEOBvwJzgDcDa1OSZr1x/CUzL2sOEBGXV+1XDWC+Vj4PbAxcFhGfpbxddCVK1dvKwP+0OzEzH4mIrwKHDHJuSZIkSZI0CoykSjEyc0ZmPtaiaRJwW2be1KLt55Tr+NAAp/kVZUnhz4BbKcmqu4H/ycxH+zl30HFUSzY/y/x7avUaBzwA/JOy79ZngIuAtTKz3YbxA3E8JdkHzPf2yPPa9J8M7NbYW+1CYDrl2s7ub8JqX7A3Ut7M+WXgL8ANlGv6DvDpiFgS+HA/cXwgIl7Y33xtYvg3peLsMsqecrdT/t6PAetl5vX9DPEt4JHBzC1JkiRJkkaHrp6eTvdwl9Q0t7u7571nz//iysnb78Os6U8NU0QaS8aPH8e0ac0t+6Tnhs+fhpPPn4aTz5+Gk8+fhtNoe/4mTFjuesqqvwWMqEoxSZIkSZIk6bkwYvYUGykiYmYfze/OzN89Z8HUjNS4JEmSJEmSRiOTYgtap4+2+5+zKBY0UuNSZfL2+8z3fe7c7mGKRJIkSZIk9cekWENmTh3uGFoZqXGp6KLL/cMkSZIkSRpF3FNMkiRJkiRJY45JMUmSJEmSJI05Lp+UhkAPPSzzwiXnfZ/b3c2TM+YMY0SSJEmSJKkvJsWkIbLThcfO+/2sbfYdxkgkSZIkSVJ/XD4pSZIkSZKkMcekmCRJkiRJksYcl09qyEXE6cCu1dc5wH+Am4HzgO9n5tON/tsCk4FzMnOn2vGvAAf1M90rgY8DW2XmOtV5k4CTgF9l5ha18RYHngbel5kX1o6/Efgc8E7gxcCDwJRqjJ9mZk8n1y9JkiRJkkY+K8X0bLkMWBFYGdgMuAg4DPhdRCzT6DsJOBrYJiJeVDv+1WqM3s9U4KjGsX+2mX8OsElEbNJXkBHxv8CfgGWAicAawAeA84GDgZf1e6WSJEmSJGnUsVJMz5bZmflg9fv9wI0RcSlwA3AAcAhARKwEbAzsDKwH7AScAJCZM4GZvQNGxFxgZm3c3uOt5n8cOBc4OiLWbVXtFRHLAadSqsG2rzXdDlwHnBIRXR1etyRJkiRJGgWsFNNzJjOnAJcA768d3g24NDMfAc6gVI0NlUOB1wEfbNO+BWW55NHtBnDppCRJkiRJiyaTYnqu3QKsAlBVYe1GSYZB2XNs1Yh481BMlJkPAF8HDo+IJVt0Wa23a++BiHhjRMysfXYYilgkSZIkSdLIYlJMz7UuoLf6ahPgRZT9xnqXS17I0FaLHQ0sR9mMfyBuAdapPktUH0mSJEmStIgxKabn2hrAHdXvk4DxwOMRMSci5lCWOn4oIsYNxWSZOQP4MvBF4AWN5lurn6+r9Z+dmVMzcyrPJO8kSZIkSdIixqSYnjMRsRZlH6/zIuLFwDbArjxTmbUOsDYwm/IGyKFyIvAYZYP/ukuA/wCfH8K5JEmSJEnSKODbJ/VsWSoiVqAkXidQlkoeCFwPHEOpEpsBnJWZc+snRsT5VfsPhyKQzHwqIg4CTmscnxERk4BzIuIXwHHAbcAywOaUpZNzm+NJkiRJkqTRz0oxPVs2BR4A7gEuB+mN1jQAACAASURBVLYGDgPemZmPA3sAFzQTYpXJwAYRsVqLtsE6F7i5eTAzzwfeATwO/ICy6f6VwLuAXarzJEmSJEnSIqarp8dtk6SFNbe7u+cD53113vezttmXx6c/NYwRaSwZP34c06bNGu4wNEb5/Gk4+fxpOPn8aTj5/Gk4jbbnb8KE5a4H1m3VZqWYJEmSJEmSxhyTYpIkSZIkSRpz3GhfGiJnbbPvvN/ndncPYySSJEmSJKk/JsWkIdBFl3uISZIkSZI0irh8UpIkSZIkSWOOSTFJkiRJkiSNOS6flIZADz0s88Il532f293NkzPmDGNEkiRJkiSpLybFpCHQBXzk4q/N+37Su/cfvmAkSZIkSVK/XD4pSZIkSZKkMcekmCRJkiRJksYck2KSJEmSJEkac57TPcUi4nRg19qhR4A/Aftl5j9q/TYHDgDWBZYEbgVOBY7PzO7GmAPqGxE9wHaZeV71fTHgZGBr4D2ZeU1ErA18CXgrMB54CLgO+Exm3t3BdR4H7Al8PDNParRNBE4DLs/MTRttzRjvAl5VNc8GHgb+DJyamRd1EE9P7evjwO3ANzLz9FqfjYAr2gyxemb+IyIOBQ5p0f6+zLywj/Z/ZeYK1TxXAhtWx58G7gV+DByambPbxFz3icw8sRZvAmtl5pzauXcBJ2TmMbVjrwEOBDYDlgceoNzLr2fmHwcyZ5s2SZIkSZI0Cg1HpdhlwIrVZzPg+cAFvY0R8Qngl8D1wPrAGsB3gMOAs+sDddK3cd7SwE+AdwEbVAmxCcDlwExgS+B1wM6UBNILBnpxEbEUsBPwVWBSm25zgQ2rhF5/vkS5V6sBHwTuAi6IiOMHGlPlI9U4awPnAqe1mX9Nnvn79H5uq7Vni/aL+2l/fWOO06rjr6UkNPcEDu0j5vrnB40+rwL2aHnFlYhYF7ihurZPUp6TrSnPTfM+DmROSZIkSZI0yg3H2ydnZ+aD1e8PRsQ3gIsi4vnAS4BvUqq8Dqid872I+BclGfSTzJwcESsNtG998oh4AfAzYAXgHZl5T9W0PvAiYLfMfKo6dhfw2w6vb9vqvMOBvSNircyc0ujzJCXRclRE/LpZ/dYwo3a/7gH+EBF/r67z/MxsV93VNK02zhERsS8lKfmrRr+HMvPffYwzpzbOYNoBZtWvKSJ2rGL5fB8xt3MccGhEnJmZjzcbI6ILOB24A1g/M+fWmm+KiO8OYk5JkiRJkjTKDeueYhGxHLAD8LfMfALYjrIE8uhm38y8kFKxtGN1qJO+vZYHrgSWpVSI3VNre5ByPz5QJVIGaxJwZmbOAs6nfbXYYcBrKFVlnToF+A/w/k5PjIjFImJ74MWU5YvDqlqyuv5CxHJ8de5n2rSvQ6kQ+1ojIQZAZk4b5LySJEmSJGkUG45KsS0iYmb1+zKUPaXeU31fDXgsM//Z5ty/AzGIvr2+AdwHrJOZM+oNmfmniDiCUsH17Yi4jpJAO2ug+4lFxCrABjyT6Poh8OOI+Gx9v6xqvoci4hjgyxHx42Z7XzJzbkTcCqwy0HOAM6o93ZYGFqPs53Zyi353Rcx326Zl5kq176vX/n4Ad2fmmn20A1yUmR+qff9otbfaEpTEZjdlCWW7mOvenpl/q31/EvgicHxEnJiZDzf6r1r9/HuL8VsZyJySJEmSJGmUG45Ksaso1TvrUDa0/w1waUS8smpvt9k5QFejvZO+AD+n7EH1f61OyMyDKMsqPwr8jbJX1S0RsUkf89TtTtlAv3f53ZXALGCbNv2PpSSpWiWE+tPq+vqyP+Wevwu4Efi/zJzaot/GPPP3WYeS5Ku7vdH+nn7a1wH2afQ5tzr+dsom+ydl5k/6iLn+yRb9zqAsWf1ii7ZOq/4GOqckSZIkSRrFhqNSbFY9GRMR1wPTKYmoW4EXRsQrMvP+FueuDtxc/d5J314/As6jVAMtlplfap6UmY8Ak4HJEfF54C+UZMvlfV1U9TbLicDLI2JOrel5lCWU57aYa2ZEfIlSLXZqX+O3mGs14NqBngM8WN33qRGxHXBDRNxQf+tn5c5+9hR7qk0ybaDtANN7+0TEh4GbI2Ji/W2YjZj7lJndEfE54MKI+Faj+dbq5+qUv2V/BjSnJEmSJEka3YZ1T7FKD2X53DhKwuppSrXOfCLifZS3FZ5VHeqk7zyZ+SPgQ8AXq4RUW9WG+7dT9iDrzxaUFwWsy/xVRlsBm0TEym3O+z5lKePnBjBHr0nAeMo96FiV9DmfFvuxPdcy82ngCODIiBi3EOP8EvgD5QUHdTcCtwD7V8nE+UTE+MHOKUmSJEmSRq/hqBRbKiJWqH5/EbAXJel0UWbeW70V8ZsR8RRlf69ZlCV/RwPn9r5NspO+TdXbK+cA51YVYwdFxFbAB4FzKNVFXcB7KcsDDxnAdU0CLs7MGxrHp0REUpZWHtwiljkRcSBl/7FWlqvu1xLAKykvGNgbOCEzO30zZt2xwF8jYr3MrFecLR8Rzefi0dobOfuzeO3vO08/b3Q8m5IY24v5E3XjW4w1MzObe5b1OgD4E7VN+zOzJyJ2Ay6jvLnzK5T9xcYB7wa2pyQyBzunJEmSJEkahYajUmxT4IHqcw3wFmC7zLwSIDOPpySj3kJJcPydkiw5hMbbJDvp25SZF1De3rhfRBxFqSaaCRxDWWZ3LfBhYD9KwqatiHgZpSKsXeXWZGC3iGh5vzPzPOCmNuceTLlXUyn7b70a2DYz9+4rpv5UG8dfBnyl0XQzz/x9ej/v7GDoaHH+Ay0SbfVYngJOAA6o3kja66QWY7WtqMvM6yh/g6Uax68F3kx5Pk6sfv4CWI/yvNR1NKckSZIkSRqdunp6OtmrXVIr3d3dPTtf9Ezu9KR378/j0wdaXCctnPHjxzFt2qzhDkNjlM+fhpPPn4aTz5+Gk8+fhtNoe/4mTFjueuZfITbPSNhTTJIkSZIkSXpODceeYqNSte/XgW2af5eZ734u4+k1UuOSJEmSJEkayUyKDdyJlD29WnniuQykYaTGNab0UJZM9prb3T18wUiSJEmSpH6ZFBugzHwUeHS442gaqXGNNV10uYeYJEmSJEmjiHuKSZIkSZIkacwxKSZJkiRJkqQxx+WT0hDooYdlxi8x73v33B6emDFnGCOSJEmSJEl9MSkmDYGuLvjUZUfN+/6tTT87jNFIkiRJkqT+uHxSkiRJkiRJY45JMUmSJEmSJI05Lp/UAiLi48CxwIsy86nq2JLANOD2zHx9re+qwK3AJsDBwIYthjw3Mz/YmOM4YE/g45l5Uu3474H1+wjv9sx8bdXvz5n56ca4HwTOzMzFq++bAr9uM9aqmTk1Ir4CHFQd6wYeBK4APpuZ9/cRiyRJkiRJGqWsFFMrvwHGAevVjr0VmA6sFhETasc3AmYDf6y+nwas2Ph8rD54RCwF7AR8FZjUmHvr2nlvqI79b+3Y2wZ5TdEirjtr7TdXx14JfAhYBzhnkHNJkiRJkqQRzkoxLSAzb42IfwIbA7+vDm8MXAasQkmETa4dvzozn4wIgFmZ+WA/U2wL3AUcDuwdEWtl5pRq7kd7O1XjATw6gDH781BmTuujfU5tjn9GxCnAsRGxTGY+vpBzS5IkSZKkEcZKMbVzBSXh1Wtj4MrqUz++UdW3E5MoSxxnAeezYLXYsIqIFYH3AXOrjyRJkiRJWsRYKaZ2rgBOqJY6dlGWLU4C7gW+BRARr6MsOfxN7byPRsTExlgHZOZ3qnNWATagLJ8E+CHw44j4bGbO7jDGT0ZEM6HW7pm+r1Z5BvDvzFy59v31ETGTkih+fnXs65n5ZIcxSZIkSZKkUcCkmNq5AlgaeDslKfbvzLw9Ih4EXhMRK1AqxmYB19TOOxc4rDHWw7Xfdwcury1VvLIaY5vq3E6cRVmCWbcl5SUBTRsAM2rfmxVgSdnPbCnK8s73Al/oMB5JkiRJkjRKmBRTS5l5R0TcTVke2UVJXpGZj0fE9dXxjYDfZ+bTtVOnZ+bUVmNGxGLARODlETGn1vQ8ShVap0mxBeaKiH+16XtnP3uKPVUb6+aIWA04nhG2tFOSJEmSJA0N9xRTX3r3FevdT6zXlcD/UJJiv2me1IctgJcA61Le7tj72QrYJCJWXsh4h9KXgIkRsfZwByJJkiRJkoaelWLqyxXAjtXvu9WO/xb4MbAcC26yP65aWln3VPVWyUnAxZl5Q6N9SkQkZWnlwUMS+YKWj4ilG8cezcynWnXOzNsi4hfAlynLKiVJkiRJ0iLESjH15QpgSeChzLy9dvz3lM3oHwOub5yzG/BA4/OziHgZpSLsvDZzTQZ2i4hn65nMFnG9o59zjgXeGxHrPUsxSZIkSZKkYdLV09Mz3DFIo153T3fPxy758rzv39r0szw+7ek+zpCGzvjx45g2bdZwh6ExyudPw8nnT8PJ50/DyedPw2m0PX8TJix3PWUbpwVYKSZJkiRJkqQxx6SYJEmSJEmSxhw32peGQE9PWTLZq3uuy5IlSZIkSRrJTIpJQ6CLLvcQkyRJkiRpFHH5pCRJkiRJksYck2KSJEmSJEkac1w+KQ2JHpYdvwQA3d3dzHps7jDHI0mSJEmS+mJSTBoKXXDQ744A4PANDgRMikmSJEmSNJK5fFKSJEmSJEljjkkxSZIkSZIkjTkun1wIEfFG4M/AnzJz/UZbT+3r48DtwDcy8/Sq/Uxgpz6Gn5uZA/r7RMR6wNXA7zNzw0bb4sDTwGwgMvPuWtuZwLKZuU31/SvAQb3zA9OBfwA/A07IzMcHGE/92uYA/wGmAJOBkzPz6Vrf3wPrLzAInJWZH676bAx8EVgbeD7wQHW9H8/MmRHxWuA24I2ZeWNt7I2BfYG3AssB9wM3AN/NzN9UfTYFfg3cArwhM+fWzr8POCYzvzmQ65YkSZIkSaOHlWIL5yPAd4C1ImL1Nu0rUpI55wKnRcTmVdueVVvvZzawV+37KzqIYxJwAvDGiFitTZ8e4CsDGOvmav7/AjYEzqhivSEilu8gpkuqcVYGNgN+ARwOXBkR4xp9T2L+e7FiNScR8XrgYkoya0NgLeATwAxgyXaTR8SewGXAv4EdgDWAnYGrgFZJrlWAiR1cnyRJkiRJGsWsFBukiHg+sCPwTmAcsAewX6PbtMx8sPr9iIjYl5Ig+lVmTqdUYvWOBzC91n+gcSwDfBB4GzAe2B34XIuuxwH7RcSx9WqqFubUYvgnMCUiLqJUeh1Juc6BmF0b537gxoj4NXA9pXrry7W+s/q47s2BBzOzfm/vAC5tN3FErAx8Azg2Mw9onPfHiDihxWnHAYdFxNmZ+UQf1yVJkiRJkhYBVooN3geAuzPzJko11S4RsUSrjhGxWERsD7yYspRxKG0P3JaZt1Rx7FotmWy6GvgpcFSnE2Tm/cCPgG0jomuwgVb36tfA+zs47UFghYjYsN+ez9gOWAI4uk0cPS0O91aPfbqDeSRJkiRJ0ihlpdjgTaIkoQB+C8wCtgZ+UutzRkScDiwNLAY8Apz8LMbxG8peYFtSEmBNn6dUfm2SmZd3OM8tlEq0FwGPDjLW3nH+u3HskxExqXHsM5n5fUoybjPKssuHgGso13lmZv67zRyrAY/W2yNiG+DMWp93ZebVte9PAIcAx0bE9zPzkU4vTJIkSZIkjR5Wig1CtbH7+sDZMK/y6CxKgqpuf2Ad4F3AjcD/ZebUIYzjdcB6lMQRmdndJg6q9gROBY4eRMVXb/9WVVadjtMc4yzKfap/zgXIzLmZuQuwEmV56n2U5aH/qK5/oH5djbspsAwlSdl0OmWp50Et2iRJkiRJ0iLESrHBmURJqtxT7QUGVdIoIl6ZmfdWxx6skmBTI2I7ymb1N2TmP4YwjsWB+xtx9ETEyzPzny3OORSYStmHrBNrUN4iOW1woc43zh2NY9P7SxZWSzjPoFTffYHytsn9aJ0AvBV4cURMyMyHq/Mfp/wdZvYxx9yI+DwwOSKOG/AVSZIkSZKkUcdKsQ5V+3XtSlmKWK9sWhu4Cdit1XlV0ud82uxzNYg4lqC8TfGAFnHcQps3KWbmA8DXKW+CbPv2xsZcr6Ak0X7SZj+ugca8NqVq7rzBjgGQmY8C/wKWbdNlMjCH8jfqdOyfAdcysDd1SpIkSZKkUcpKsc5tCbwUOKm571REnAN8IiLaJVSOBf4aEetl5rULGcfWlP29TsrM+aq3IuJcYPeIOLLNuUcDHwPeC/yq0bZ4RKxAqTh7MbABcCDwEJ0tK1yqGud5wPLAJtX511DeDFk3rupb91RmPhoRnwTWAi4Abqe86XNXYHXgS60mzsy7qjd9fjMiXgqcBtxJuV+9FXJz+4j9AOD3DP1LESRJkiRJ0ghhpVjn9gCuaLMR+2TgVZR9qxaQmX8DLmNoqpD2AC5rJsRqcbwG2LhNHDOAL1NeANC0JvAAZe+u3wG7AN8B3pyZD3UQ3xbVOPdQ9vPaCvgisFFmzmr0/UjVt/45v2q7BlgOOBG4mfJSg/8GPpyZ57SbPDOPo2zQ/xLK/bgNuBgIYKvGJvvNc68GLgSWGvjlSpIkSZKk0aSrp2dh902X1N3T3bPfFYcCcPgGBzJzmkVmeu6MHz+OadOauWbpueHzp+Hk86fh5POn4eTzp+E02p6/CROWux5Yt1WblWKSJEmSJEkac9xTbISKiFUoG/e3s1qbt0s+q0ZqXJIkSZIkSZ0wKTZy3Ut5m2Q7/3quAmkYqXENr56ybBKgu7t7mIORJEmSJEn9MSk2QmXm08DU4Y6jaaTGNfy63EdMkiRJkqRRxD3FJEmSJEmSNOaYFJMkSZIkSdKYY1JMkiRJkiRJY45JMWkodPWw3PglGPeCxYY7EkmSJEmSNAAmxaQhcsSfDmOx5/lPSpIkSZKk0cD/wUuSJEmSJGnMMSkmSZIkSZKkMWfx4Q5gJImI04GXZuZWjePrAtcBr87Mu6pjOwJ7A68HuoApwPGZeWbtvI2AK4AJmfnvxph3ASdk5jHV9w2Bg4G1gXHAA8CfgE9k5mMRsTJwZ5vQ352ZlwzwGpcE7geWBlbKzOmN9iuBDYGdG9cysYp32ca1AfQAM4G7qmPfzMx2sTbjmW/cRttMYK/MPL127K3AQcB/A8tQ7smPgKMy88lav7uAVzWvo2q7FngLsH/t/vded9O5mfnBgVyLJEmSJEkaPawUG4SIOAo4Dfgp8GbgjcD5wCkR8dVBjLcGcAlwE7AxsBbwCWA6sFSj+xbAio3PbzqYbhtKIulPwI5t+jwJfCUimnO3sibwcuBNwGHVz79VSb4hFRFbA78DHgE2BVar5vwocGmV8Ku7F9ijMcZaVcyPtJjiNBa8tx8bwkuQJEmSJEkjhJViHYqI9YADgH0y85u1pqMiYjbwjYg4PzOv7WDYzYBHMnOf2rE7gEtb9H0kMx/sOPBn7AGcAUwDPgV8t0WfcynJtz2Br/cz3kO1KripEXEhcCVwakSslplzFyLWeSJiHHAK8MvM3K3WdHdEJPBnyvV8rdZ2NvDpiFglM++oju0BnEfrqrBZC3lvJUmSJEnSKGGlWOd2oiwV/E6Ltu8CjwMf6nDMB4EJEbHxQsbWp4h4FbARcA6lsu11EbFOi64zgS8BB0XE+E7mqJJg3wBWoVTQDZXNgZcCR7eY8wbgchasfPs3cBGwG8xbOvphSnJNkiRJkiSNYVaKLWiLai+runrycDXgjsx8qnliZs6OiNuB6HDOyZSkz28i4iHgWsreXGdk5sONvldFRHfj2Cuae4O1sTvw694xI+J8SuXU3i36fh/4NPC56tOJW6qfq1AquPqzTIt7DmXPsF6rVT//3secH2lx/FTgexFxCLA1MC0zr4po+Sf6aLXHWd0BmdkqASpJkiRJkkYxK8UWdBWwTuPTrEDq6eP8rn7aF5CZc6slgSsB+wH3APsD/4iINRvdd2wR34z+5oiI5wETKUsne50B7BQRS7eIaQ5lQ/v/i4iVOrkeyj2Agd+HWSx4TetUxzuZs9V8v6ra3kVJAJ7axxjntojhrA5ikCRJkiRJo4SVYgualZlT6wcaSwhvBTaIiKUyc3aj31KU6qjeje8fq36+kLKUr248ZSP9eTLzfkqi6oyI+EI11/6UZFav+5rxDdBmwH8BZ0VEPdGzGPB+WiR/MnNyROxH2cz+dx3MtUb1844+ez2jp9U1RUQ9yXVrbew/tBhjdeC25sHM7I6IHwAHAm+jsfF+w/RB3ltJkiRJkjTKWCnWuR9RlvV9okXbJ6u2s6vvtwHdlDdUzhMRq1ASZdluksz8D/AAsOzChwyUZND5LFgJdRJ9J4oOAHalvLGxXxGxGGXZ5e3AjQsRb9OllDdG7t9izjcBm9C+qutUYAPK0tF/DmFMkiRJkiRplLJSrEOZ+aeIOJbytsmlgAsoy/beB3wZOKr3zZOZOSMiTga+Vr2Z8ibglcBRwDVU1VcR8TFKguoCSjJpaWAX4PUsuLH8SyJihcax6Zn5RLuYI+KllP20tsvMKY22U4CrI+I1mXl7i+v9bURcAuwFtHqT5PIRsTglefcGYB/KBvvvGao3T1ZxPB4RHwF+HBGnAsdTkmTvAI4Bfg98q825d1T3oO09qoxrcW+fysxHFy56SZIkSZI00lgpNgiZuR8wiZIIuxH4K2UJ4qTMbG5K/ylKpdJXgZuBHwB/A7bKzN7lgdcC4yhvr5xC2ddsQ2CXzDyzMd4llAqy+menfkLeBZhN2V+reS3XAPfSd7XY54Al27TdXMXwF8obK/8CvCEzr+onpo5l5gXAO4HlKUtUb6Ms7TwZ2KzVyw9q5z7aV+KwshsL3tufDUHokiRJkiRphOnq6eloT3hJLXT3dPcc+vuDOPBthzBj2tPDHY7GmPHjxzFtWifvpZCGjs+fhpPPn4aTz5+Gk8+fhtNoe/4mTFjuemDdVm1WikmSJEmSJGnMcU+xRURE3Ay8qk3zxzKz3Sb0z6qRGpckSZIkSRrbTIotOt4DLNGm7V/PZSANIzWuIXfg2w5hbnf3cIchSZIkSZIGwKTYIiIz7x7uGFoZqXENuZ4u9xKTJEmSJGkUcU8xSZIkSZIkjTkmxSRJkiRJkjTmmBSThkJXD8uNX4JlXrDYcEciSZIkSZIGwKSYNES+dd3ned7z/CclSZIkSdJo4P/gJUmSJEmSNOaYFJMkSZIkSdKYs/hwB9CpiDgdeGlmbtWi7S7ghMw8pvp+JbBh1dwDPAT8Btg3Mx+o+qwM3Fkb5jHg78DhmXlRizmWBO4HlgZWyszpjfb6nE8D9wI/Bg7NzNm1fj3Adpl5Xi32V7W45KMy83NVn22AzwKrU/529wG/z8xJLc5rKyJuAtYA1sjMWxttpwO7Al/MzK/Ujm8EXAFMyMx/t7hvj1Puy++A4zLzpgHG0jsulL/RTOCu6tg3M/POWt+JwGlthnp+Zj5Zi/+U5n2JiKOB/YFf1J+fiBgPfAHYFlgJmEZ5Tg7NzH8M5DokSZIkSdLoMhYqxU4DVqQkO7alJINObdFvi6rfW4FrgZ9ExFot+m1DSQb9CdixnzlfCxwA7AkcOoBYv1SdV/98BSAiNgEmAxcBbwPeSEnwdA1g3HkiYj1gAvBDYI823Z4EDoiICQMYsve+vR7YB1geuD4iPthJXMCawMuBNwGHVT//FhEbNvrNYsF7tGJmPlnrcy+wQ0Qs03sgIhYHdgbuqQ8WES8Crga2BD5F+ZttDSwDXBcRb+nwOiRJkiRJ0igw6irFBmFWZj5Y/f7PiDgZ+GKLfo9U/R6MiIOAvYGNgSmNfnsAZ1CqiT4FfLefOe+JiB2BzYDP9xPrjNp5Te8FrsnMI2rHbqMkyTqxB3A2cCEwOSIOysw5jT5XUJKIXwT+r5/xHqnFfCfwy4g4GzgxIi7JzGkDjOuhzPx39fvUiLgQuBI4NSJWy8y5VVtPH/eo102UBNv2PFNZtiUl2XcV8JJa38OB/wJWzcx/VsfuiYj/Bf4MnBYRr8/MngFehyRJkiRJGgXGQqXYPFXl0zbANX30WQL4SPX16Ubbq4CNgHOA84HXRcQ6/cy5NrB+c6xBeLCab+3BDhAR44APAmcCv6dUXS2wDBXoBj4HfDwiXjOIqY4BXghsOshQqZJg3wBWoVTFdeoUYPfa990pCbJ5ya2IeB7lfpxVS4j1zt8NHEupYHvDIOaXJEmSJEkj2FioFPtotRdVFzAOuJlStdV0VUR0A8+nJAvvpOwFVrc78OvMfBggIs6nVF7t3WbOJYAlKUmmPQcQ6+ERcWjj2Acz8+fA8cAGwI0RcR8lsXcZcGZmzhzA2AA7APdm5l+q+M+s4r+w2TEzfxkRf6BUUnW6FPKW6ucqHZ7X1zh/rn5fJiKa13tTZr6jcexs4JiIWBWYQVnmuTdliWqvCcCLKHvI9TV/AH/tPHxJkiRJkjRSjYVKsXOBdYC1gf8G7gYuj4hlG/12pFQkbU1Zlrh7Zj7a21hVFU2kLJ3sdQawU0Qs3WbOt1MSaydl5k8GEOvXq/PqnysAMvPxzNySsufVYZTlm0cCN0fEywYwNjyz9LMe/xYR8fI2/Q8AtouIdQc4fq/efc4Wdslhq3FmseA92qF5Ymb+B7iAksjcFbgyM+9p9usnzqG6DkmSJEmSNMKMhUqx6Zk5tfp9akTsATxASaScUut3X2beBtxWVSJNjog1avtcbUbZe+qsiDirdt5iwPuB+rF5c0bEhymJq4mZeXo/sT5Si7WlzLwduB04OSIOB24FPkE/G/lHxOsoyzjfXp1Xj383SkVYc67rIuInwFHAl/uJvW6N6ucdHZwz0HF6+rtHNacCP6C80fLgFu0PU5KLa7Y5f/Xq520DnE+SJEmSJI0SY6FSrKl3w/Zx7Tpk5m8pS+fqiZQ9KPuINauUTqL9WxzJzKeBI4Ajqz29htJdlMqpZtVbK3tQllyuzfzxHwrsHhHt3mJ5IGXZ5hYdxLUfMJ2yvHNQImIxClEQBQAAIABJREFU4NOUBOCNgxzmcuAp4KW0XiLaTdkfbsdmtVxVGbgvZbmtSyclSZIkSVrEjNZKsRe02OC+3VsOx0XECtXvLwO+QHkL4aX9zHEspVrsa8ATlGWV22XmfG+jjIhTgKsj4jVVFVcrZ1MSY3sBR/cx53K1WHs9kZnTq73GxgG/pCwBHU95M+SywM/6upDq5QG7AIe3iP8RSvJvY+A3zXMzc2pEfJ/yps1WXlLF/HzgdZSqtXcDO2fm9L7ialg+IhavrucNwD6U5azvqb15EqCrxT0CeLjRj8zsiYg3AF2ZObvNvAcBmwCXRcRnKQm4V1CSgasC/+ObJyVJkiRJWvSM1kqxDYC/ND7HtOm7G2W55AOU/bkmUBIt2c8cP6dUYn2RklCaDfyq2SkzrwHupe9qsaeAE4ADImK5PuY8uBZr7+fbVdtvgVdTlgP+vYplZWDrzLyqn2t5L+W6F9jXLDMfAP4ATOrj/C8Bc9q0XVLFeTPwLcqSxHUz85x+Ymq6uRrnL9V8fwHe0OLaxrHgPXqAcm8WkJkzMvOxdpNW+8a9rbqO4yiVaRdREqHrZeZ1HV6HJEmSJEkaBbp6eiyCkRZWd093z9eu3pdPveVIZkx7erjD0Rgzfvw4pk2bNdxhaIzy+dNw8vnTcPL503Dy+dNwGm3P34QJy10PtHyB4GitFJMkSZIkSZIGbbTuKaaGiLiYsqy0lSMy84jnMp5eIzUuSZIkSZI0tpkUW3RMomx238qjz2UgDSM1riH3qbccSXd393CHIUmSJEmSBsCk2CIiM+8f7hhaGalxDbmeLvcSkyRJkiRpFHFPMUmSJEmSJI05JsUkSZIkSZI05pgUk4ZCVw/LvMB/TpIkSZIkjRb+L14aIost5j8nSZIkSZJGC/8XL0mSJEmSpDHHpJgkSZIkSZLGHJNikiRJkiRJGnMWH+4ANPpExOnArsApmTmp0XY0sD/wi8zcKiIOBQ5pMcy/MnOF6pwrgQ2r408DjwB/Bc4EzsrMntr4dwEnZOYxtWOvAQ4ENgOWBx4A/gx8PTP/2IjvOGBP4OOZeVKjbWI19rIDuxOSJEmSJGm0slJMg3UvsENELNN7ICIWB3YG7mn0TWDFxuf1jT6nVcdXAbYGrga+B1wQEYu1CyIi1gVuANYEPgmsUZ1/PXB8o+9SwE7AV4FJSJIkSZKkMctKMQ3WTcDLge0pCS2ALYEngauAl9T6zsnMB/sZb1atz33AdRFxNfArYJfaHPNERBdwOnAHsH5mzq3HFxHfbZyyLXAXcDiwd0SslZlT+olLkiRJkiQtgqwU08I4Bdi99n13SvKqp3X3zmTmpcDfgPe36bIOpULsa42EWO/50xqHJgFnZuYs4HysFpMkSZIkacwyKaaFcTawbkSsGhErAFtQKreaVo+ImY3PjwY4xy2UJZWtrFr9/Ht/g0TEKsAGQO+8PwQ+XC2plCRJkiRJY4xJMQ1aZv4HuIBSIbYrcGVmNvcTA7idUtVV/+wzwGm6aF951tVBuLsDl9eWaF4JzAK26WAMSZIkSZK0iHBPMS2sU4EfADOBg9v0eSozpw5y/DUoe4a1cmv1c3XgL+0GqDbqnwi8PCLm1JqeR1lCee4gY5MkSZIkSaOUlWJaWJcDTwEvBS4cyoEjYnNgLeC8Nl1upCyv3L/VGyojYnz16xaUjf/XZf5qta2ATSJi5aGMW5IkSZIkjXxWimmhZGZPRLwB6MrM2W26LV7tOdY8t/5GynFVn8WBFYH3AAcAPwXO7GPu3YDLgD9ExFco+4uNA95NeTPmupRqsIsz84bGEFMiIilLK3ur3J4XEes0+s3xLZWSJEmSJC1aTIr9f3t3HiZXVSZ+/NusEoGJShzgh4AbLwgoIoEfo0IQ0Ai4OwOyhyAOiIgMIIIKyDYiomwOo4KRbdhcBoZ9FUY2QWbY5AVkHSFCCIGJQZak5o9zWytFdXd1pzqVrvp+nuc+qbrn3HPfak5umrfee64WWGb+7xBdAnjqNTsjlszM/tsZp1TbK8BMShXYP1KeFjng0ywz87aIeB9wMHAq8GZgOnAbsHdE/C2lImyXAYa4AJgSEYdV75fhtbdiPkuphJMkSZIkSV2ir1YbMN8gqUXzavNqr8x9iReee3XozlKbjR8/jlmz5nQ6DPUo5586yfmnTnL+qZOcf+qksTb/JkxY7g7KXWSv4ZpikiRJkiRJ6jkmxSRJkiRJktRzTIpJbTJ37rxOhyBJkiRJklpkUkxqh1off3rBpJgkSZIkSWOFSTFJkiRJkiT1HJNikiRJkiRJ6jkmxaR26JvHssv710mSJEmSpLHC/4uX2qKPxRf3r5MkSZIkSWOF/xcvSZIkSZKknmNSTJIkSZIkST1niU4HMBoi4r3A7cAtmfn+uv2rA48AEzPz9oZjrgfuAS4ErhviFFMyc1pELAZ8EdgNCODV6rzfyczLRhD3XcC7gHdl5gMNbdOAXYBvZOaRdfsnVfFOyMwZdZ+x35+APwA3Aidm5l0txPEZ4HzgrZn5eJP224AHM3OHurga3ZqZ/7/q/yhwcmYe1zDO/sDembl69X7Xqt+ydX36gKnVtg5QAx4CzgVOzcwXIuIw4LOZuc4An+d6YNMmTedl5nZVn02BbwLvAcYBTwG3AHtm5gvNxpUkSZIkSWNXt1aKfR74AbBORKw1zGNvAlaq234C3Nyw77yq7znAEcAPKQmbjYHfAP8REXsO56QRsSEwATiDkgBq5s/AgRExoYUhJ1exrgt8BXgzcEdEbNfCsRcBM4ApTeJcB5gInFa3+2rm//msBGzVwnlacSZwEnApsDnwbuAbwGbAp4cxzk+axPgFgIh4F3A5cFc17jrAnsDzwNLt+BCSJEmSJGnR0nWVYhGxDLA9sAml4mcqsH+rx2fmy8D0uvHmAC9n5vT6fhHxD8C2wKcy85d1TV+NiKWB70fExZn5Py2eeiolyfZL4IKIOCQzX23ocx2wCiUptM8Q4z1bF/MjwKURcQ5wakRcnpmzBjowM1+JiDOAXSPiW5lZa4jzYeavpnup8efTDtXPeAfgM5n587qmR4FLImL8MIabM0iMH6b8vL5St+9h4MrhxCtJkiRJksaObqwU+yzwWHWb4JnAzhGx5CicZwfKLYS/bNL2HWAp4DOtDBQR44DtgLOA/wTmANs06ToPOAj4x4h4+whiPg74G2CLFvqeBqwOfKguzqWAHYHTGxJlo2UH4IGGhNhfDJbYG6bpwISI2KxN40mSJEmSpEVc11WKAbtTkmEAv6IkmD4O/KzN51kD+F2zhsz8Q0S8QFlnrBXbAk9k5p0AEXEWpSLrNQm3zLw0In4NHEVJpA3HfdWfbxuqY2beX51nKnBNtfsTwBuAaQ3dJ0fE7IZ9p2TmV+veH1Wt/VVvScraXQN5J3D/ULG2aI9qzbJ6B2bmD4ALgI8A10bE08BtlEq4MzPzmTadX5IkSZIkLUK6qlIsIt4BvJ9yGyJVNdPZlETZaBiqWqrVaqqp/DWRR/V6ckSsPED/A4G/j4gNWhy/X98w4zoN+FTdbYq7AZdl5h8a+t0ArNewfaehz/FN+hzfYrztcF6T858NkJlzM3MK5dbU/YHHgQOA+yNi7TbGIEmSJEmSFhHdVim2O7A48HjEX4q0+gAi4i2UhdOh3ELYaHxdeyseoDwp8jUi4v8BywMPDjVIRKxJSeRtHBFH1TUtTlno/qjGYzLzNxHxM+DblIX+W9Uf78Mt9j8f+D6wfURcRFl7q9ktoXMy86Ehxnq2sU9EPDvEMQ8Aw31QwkCeHyrGKtl3JnBmRHy9Ov8BwK5tikGSJEmSJC0iuqZSLCKWAHYBvsb81UDvoTxVcEpmPkd5quL7Go5dHngHkMM45TnAOyPik03aDgReBi5sYZypwK1VnPVxHwbsFhEDVUsdDHyQ8pTJVu1PSfxd3UrnzPwTcG4V4xTgGeA/hnG+BdX/M276lMlhLrQ/LNVceQpYdrTOIUmSJEmSOqebKsW2BlYAfpSZ81UgRcS5wJ4RcSTllr2DIuJJ4GbgTZSnOc6grC3VqvMpi/pPi4iDgCuAZYCdgb2BLw315MnqAQA7A0dl5j0Nbc8C3wQ2A65tPDYzH4qIHwJfHmD4N0XEilVMawJ7Ah8FdsrM4VTEnQbsAbyV8rNtfCImwNLVuerNbcN6XOcDnwTOjoijgcuBpynVY1+i/PeaVvV9XUSs13D8nMx8oHo9rkmML2fmzIj4AiUR+Qvg98DrKP9d1gWOXcDPIEmSJEmSFkFdUylGqWa6rjEhVrkAWI3y1MVjgUMp1Vz/Dfwc+BMwKTNfbPVk1Xpl21Vj7UlZxP5WYCNgm2oB96F8DJhAk4cAZOZTwK8ZfD20bwHNklRQEkhPAfcCJ1CqvDbIzHNbiKs+jtsolXZvoCTImtmiOlf9dudwzjPAuWvA9pTE3zaUxe/vBo6hPESh/uf29uqc9ds5de1TmsR4UdV2GzAO+BfgHsoaaZsCO2fmWQv6OSRJkiRJ0qKnr1Zrdc11SQOZV5tXe3XuSzz/3EA5Smn0jB8/jlmz5nQ6DPUo5586yfmnTnL+qZOcf+qksTb/JkxY7g6g6YMKu6lSTJIkSZIkSWpJN60ptkiKiMsoC+I3c3RmHr0w4+m3qMYlSZIkSZK0MJgUG327Uxa7b2bmwgykwaIa1xhVY+7ceZ0OQpIkSZIktcik2CjLzD90OoZmFtW4xqzaYsx+waSYJEmSJEljhWuKSZIkSZIkqeeYFJMkSZIkSVLPMSkmtUFfX6cjkCRJkiRJw2FSTJIkSZIkST3HpJgkSZIkSZJ6jkkxSZIkSZIk9ZwlOh2AFp6ImAbsUr19FXgC+DlwaGb+qa7fRcDWwOTMvKphjMOAQ6u3NWA6cB1wUGY+UdfvemDTJmGcl5nbVX1qwCvAmpn5cEOcK2TmNhHxKLDaIB/rV5k5qep3cmYe13D+nTLzrLqxd636LVu3rw+YAkwF1gUWBx6rPtdJmXn/IOeXJEmSJEljkJVivedqYCXgbcDXgb2A4/obI2IlYHPge8DuA4yR1RirANtSEknnN+n3k6pf/faFhj5zgaMGiXdi3bGTq30b1u379CDH/hk4MiKWHqQPwJnAKcAVwEcon2dv4Dng8CGOlSRJkiRJY5CVYr3npcycXr0+JyI2Az4J7Fnt2xW4HDgRyIh4U2Y+2zDGq3VjPBkRPwJOjIjlM/OFun5z6voN5CTgnyLiuMy8o7ExM5/pfx0Rq1Qvn2lhXIDzKIm0LwLHN+sQEdsCOwCfyMyL6poeBq6tqsgkSZIkSVKXsVJMLwJLwl9uI9wNOCszHwduBXYa7OCIWJFSrTW32obrNuBnwLEjOHYos4FvAYdExPgB+mwPZENC7C8yszYKcUmSJEmSpA6zUqyHRcSGlKTQNdWuScAbgUuq92cAXwG+33DoWhExm5JUXabad2L9umSVPao1vOodmJk/aNh3MHBfREzOzMtH8lkG8UNgX+Cgamu0BuV20L+IiG9TqssAqF9/TJIkSZIkdQcrxXrP5IiYHRF/Bm4GbgC+VLVNBc7PzJer9xcCb4+IjRrG+D2wHmW9r0OA31ISW43Oq/rVb2c3dsrMh4AfAf8cEW2dk5n5ahXjPnW3Xw7lO5RYDwJe3854JEmSJEnSosFKsd5zA7AH5amPT2bmKwDV7YWfAZaKiM/X9V+csuD+rXX7Xq4SWQD3RsQ7KQvV79pwrufr+g3lcEqybYdhfJaWZOYFEbF/dY4bG5ofANZs6D8DmBERraxbJkmSJEmSxiArxXrPnMx8KDMf60+IVXYAngHew/yVXXsA20bEYBVTRwA7RMT7RhpUZj5NeQrmEcBQT4sciQOBXYC1G/b/G7BGRAz2FEtJkiRJktRlrBRTv6nAhZl5T/3OiHiAcjvhtsDpzQ7MzIcj4iJKQmuruqZx1UL89V7OzJkDxPBdylMwP8lf1zlri8z8VURcDuzN/A8EOK8639nVWmKXA08BqwI7AvPaGYckSZIkSVo0WCkmImJ94L2UNcTmU60vdhHlFsrBfBf4aET8Xd2+KZQEU/3W9CmP1blmU25xfN1w4h+Gg4ClGs5ZAz4H7AN8BLgKeJDykIFngfVHKRZJkiRJktRBfbVardMxSGNerVarzZgxu9NhqEeNHz+OWbPmdDoM9SjnnzrJ+adOcv6pk5x/6qSxNv8mTFjuDmCDZm1WikmSJEmSJKnnmBSTJEmSJElSzzEpJkmSJEmSpJ5jUkxqA5fmkyRJkiRpbDEpJkmSJEmSpJ5jUkySJEmSJEk9x6SYJEmSJEmSeo5JMakN+vo6HYEkSZIkSRoOk2KSJEmSJEnqOSbFJEmSJEmS1HNMikmSJEmSJKnnLNHpANSdIuJvgYOBbYBVgBnAXcBJmXlp1Wcj4BDgA8DrgUeAfwO+nZl/rhvrUWA1YKfMPKvhPLcBE4EDMvO4at/1wD2Zufcw43kP8C1gI2A88DTwG2C/zHysPT8ZSZIkSZK0KLBSTG0XEasDvwU+AnwNeDewBXAJcGrV5+PAjcCzVdsawOHAHsCVEbFUw7BPAFMbzrMOsHY1xoLGMwG4BpgNbA2sCewE/B5YfjifX5IkSZIkLfqsFNNo+AHQB2yQmbPr9v8uIs6OiHHAacClmTmlrv2xiEjgduDLwHfq2s4B9o2It2Xmw9W+qcCFwKYLEk/1+v3AG4Apmflyte9R4FdDf1xJkiRJkjTWWCmmtoqINwKTgZMbElAAZOZzlIqtFYBjm7T/llKxtX1D0wzgYmBKdZ6lgB0pybUFjQdgOuXvw2cjom+wMSVJkiRJ0thnUkzt9g5KVdbvBumzRvXnQH3uA6LJ/tOBXSJiMeDjwKzMvKEN8ZCZtwBHAz8FZkbElRFxcESsNsT4kiRJkiRpDDIppnZrR5VVH1Brsv+Kqm1Lyq2Tp7cznsw8BFiRsq7Z3dU57ouIzVsdQ5IkSZIkjQ0mxdRuD1ISWmsN0ueB6s93DdC+VjXOfDJzHqWS62DgQ9XrdsRTf45nM/OCzPyn6phHgW+0cqwkSZIkSRo7TIqprTJzJqWia++IWLaxPSLGA1dSnhh5QJP29YHNgbMb2yqnAx8ErsrMJ9sUz0DHvkx5+uRrjpMkSZIkSWObT5/UaNgLuAm4PSK+AdxFuY1xM+BrmblqRHweOD8iTgdOoiTJ/g44DvhP4IRmA2fmwxGxAvBiu+IBVo2IbYDtgHMplWx9wMeArYBDh3EuSZIkSZI0BlgpprbLzEeA9YGrgG9TklDXUhbH/0LV5xfAJsCbq7YHgcOBHwMfrqq0Bhp/Zma2nBRrJR7K4v6zKUm5O4HbKE+33J+yAL8kSZIkSeoifbVas/XMJQ1HrVarzZgxu9NhqEeNHz+OWbPmdDoM9SjnnzrJ+adOcv6pk5x/6qSxNv8mTFjuDmCDZm1WikmSJEmSJKnnmBSTJEmSJElSzzEpJkmSJEmSpJ5jUkxqA5fmkyRJkiRpbDEpJkmSJEmSpJ5jUkySJEmSJEk9x6SY1AZ9fZ2OQJIkSZIkDYdJMUmSJEmSJPUck2KSJEmSJEnqOSbFJEmSJEmS1HOW6HQA6j4RMQ3YpW7Xs8AtwP6ZeX/VpzbA4Xtm5qkN490FvAt4V2Y+0NB2PXBPZu7dsH9X4OTMXDYiHgVWGyTk3wB/A1yTmXs1jHMEsBuwbmbOHGQMSZIkSZI0hlgpptFyNbBStX0YWAb4RUOfz9f16d9+Wt8hIjYEJgBnAFNHGMvEuvEnV/s2bNi3M/D5iNiy7twbAF8FppoQkyRJkiSpu1gpptHyUmZOr15Pj4jvARdHxDKZ+WK1f1Zdn4FMBc4BfglcEBGHZOarwwkkM5/pfx0Rq1Qvn2k4960R8c/A6RGxDvBnSoLux5l5+XDOJ0mSJEmSFn0mxTTqImI5YFvg7rqEWCvHjQO2AyYB/wXMAbahJMhGw7eArYATgaeBJYEDRulckiRJkiSpg0yKabRMjojZ1evXA09QEk71zqzWH6u3cWbeXb3eFngiM+8EiIizKJVjo5IUy8xXImIn4A5gcWCTzPzTaJxLkiRJkiR1lmuKabTcAKxXbRsB1wJXRsRb6vocUNenf8u69qnAmXXvz6Qk21YeraAz8z7gZ8C1mXnLaJ1HkiRJkiR1lpViGi1zMvOh/jcRcQfwPLAH8I1q9/T6PvUiYk3g/cDGEXFUXdPiwBSgf98LlCdHNhpfnW8kXq02SZIkSZLUpawU08JSA+YB41rsPxW4FXgP81eSHQbsFhF9Vb8E1q9732995q86kyRJkiRJ+gsrxTRalo6IFavXbwD2BpYFLq7rM76uT7/ZwEvAzsBRmXlPfWNEPAt8E9iMckvmv1RjnxQRP6I8NXIr4HPAJ9r6iSRJkiRJUtewUkyjZQvgqWq7FZgI/H1mXl/X50d1ffq3g4CPARMoa3vNJzOfAn4N7F69fxjYBHgncCVwG+WJlX+fmZeOwueSJEmSJEldoK9Wq3U6BmnMq9VqtRkzZg/dURoF48ePY9asOZ0OQz3K+adOcv6pk5x/6iTnnzpprM2/CROWuwPYoFmblWKSJEmSJEnqOSbFJEmSJEmS1HNMikmSJEmSJKnnmBST2sCl+SRJkiRJGltMikmSJEmSJKnnmBSTJEmSJElSzzEpJkmSJEmSpJ5jUkxqg76+TkcgSZIkSZKGw6SYJEmSJEmSeo5JMUmSJEmSJPUck2KSJEmSJEnqOUt0OgB1n4iYBuzSpOlO4C3ACZl5ZJPj9gKOA1YC3gtcN8Ap1srM+yPiMOBQ4LTM3L1unNWBR4CJwDrAT4YIeTPgRmB/YFdgNeAl4PfAGZl54hDHS5IkSZKkMcZKMY2WqynJrfptC+AsYEpENFuafjfgwsx8vm7f2k3GebCu/c/ArhGx9gBxnNdw7NXA+Q37bqIk1w4ADqck0jYFTgL+ZjgfWpIkSZIkjQ1Wimm0vJSZ0xt3RsSPgX2BSdRVgkXEe4D3Afs1HPJ0Zs4Y5Dy/Bx4DjgE+3tiYmS8CL9ad5yXgxcbYIuLjwKmZeW7d7rsGOa8kSZIkSRrDrBTTQpWZ9wK3UqrC6k0FHszMG0Yw7EHA1hHxwQUIbTowKSL+dgHGkCRJkiRJY4SVYhotkyNidsO+UzLzq8CPgRMjYu/MfD4ilgZ2AI5tMs6jEVH/flZmrlK/IzPvjogzquM3HmG8+wEXAk9FxO+Am4FLgV9kZm2EY0qSJEmSpEWUlWIaLTcA6zVs36nazgXmAp+r3n8SWB74aZNxNmsYY6BqsG8C60XEp0cSbGbeR1lLbCNK0u5NlLXHLokI/55IkiRJktRlrBTTaJmTmQ81a8jM2RFxPuUWylMpt05e0mwNMuCRIdYU6x/ziYg4ibK22NYjCTgz5wG/qbbvRcSOwJnAJsD1IxlTkiRJkiQtmqyAUaf8GJgYEdsAm1fvF9QxwARg9zaMBXBf9eeybRpPkiRJkiQtIqwU02hZOiJWbNg3NzOfAcjMmyPiPuAMyiL3lw0wzpsjonGezszMlxs7ZuZzEXE0cMRwg42IC4FfAzdV8byVkmR7utonSZIkSZK6iJViGi1bAE81bHc29DkNeAMwLTPnDjDOvU3G2WSQ855ESWQN1xWU2y4vAh6g3Db5GPChzJw5gvEkSZIkSdIirK9W88F60oKq1Wq1GTMaH7YpLRzjx49j1qw5nQ5DPcr5p05y/qmTnH/qJOefOmmszb8JE5a7A9igWZuVYpIkSZIkSeo5JsUkSZIkSZLUc0yKSZIkSZIkqeeYFJPawKX5JEmSJEkaW1xoX2qPZyhPq5QkSZIkSYuO1YAJzRpMikmSJEmSJKnnePukJEmSJEmSeo5JMUmSJEmSJPUck2KSJEmSJEnqOSbFJEmSJEmS1HNMikmSJEmSJKnnmBSTJEmSJElSz1mi0wFIi7qI2As4AFgJuBfYNzNvHKT/psDxwNrAk8CxmXnqwohV3Wc48y8iJgHXNWlaKzPvH7Ug1ZUiYhNgf+B9wMrAlMycNsQx6wInAxsCM4F/BY7IzNroRqtuM9z5FxGrA480afpoZl4+GjGqe0XE14BPAwG8BNwCfC0z7xniOK+BWmAjmX9eA9UuEfFF4AvA6tWue4EjM/OSQY4Z09c+K8WkQUTEtsAJwNHAe4GbgMsiYtUB+r8VuLTq917gGOCkiPjMwolY3WS486/O2pQkWv/24GjGqa61LHAP8GXgxaE6R8TywFXAH4GJwD6UhO5+oxijutew5l+dycx//bu2/aGpB0wCfgD8HfAh4FXg6oh440AHeA1UG01imPOvjtdALaj/Ab4KrA9sQJlDv4yIdzfr3A3XPivFpMHtB0zLzB9V778UEZOBPYGvNen/j8CTmfml6v3vImIjyrfdPxv1aNVthjv/+j2dmTNGPTp1tcy8lJLkJyKmtXDIDsA4YJfMfBG4JyLWAvaLiOPHyreFWjSMYP71ezYzp49KUOoZmfmR+vcRsRPwPPB+4OIBDvMaqLYY4fzr5zVQCyQz/71h1yERsSewMXBXk0PG/LXPSjFpABGxFOW2jSsbmq6kfHPTzMZN+l8BbBARS7Y3QnWzEc6/frdHxFMRcU1EbDYqAUqvtTFwY/ULUb8rKLe+rd6RiNSLfh4RT0fEryPis50ORl1jOcr/Nz03SB+vgRotrcy/fl4D1TYRsXhEbEep3r5pgG5j/tpnUkwa2ArA4pRS0Hp/BFYc4JgVB+i/RDWe1KqRzL+nKFVkn6GsRZHANdXaPNJoG+j6198mjabZlKrsfwC2Aq4BzouIHTsalbrFCcB/ATcP0sdroEZLK/PPa6DaJiLWjYjZlDXtTgU+lZl3D9B9zF/7vH1SGlpjyWdfk31D9W+2X2pFy/MvM5OSCOt3c7Xw6v7ADaMSnTQ/r3/qiOqW8e/W7bo9IlYADgTO6kxU6gYRcTzwAeADmTl3iO5eA9VWrc45b7QMAAAHWElEQVQ/r4FqswTWA8ZTvmz/aURMGuRhD2P62mdSTBrYDGAur81wv5nXZsP7TR+g/6vAs22NTt1uJPOvmVuB7doVlDSIga5/MLw5K7XLrcCUTgehsSsivkf5N3SzzHx4iO5eA9VWw5x/zXgN1Ihk5svAQ9Xb2yNiIvAVYGqT7mP+2uftk9IAqovBHcCWDU1bMvA91TcDWzTpf3tmvtLeCNXNRjj/mlmPclulNNpuBj4YEa+r27cl8CTwaEciUq/z+qcRi4gTgO2BD2Xm/S0c4jVQbTOC+deM10C1y2LA0gO0jflrn5Vi0uCOB86MiNuAX1OeLrky5d5qIuIMgMzcuep/KrB3RHwf+FfKU2J2BT63cMNWlxjW/IuIfSn/+NwLLAXsCHySUvYsDUtELAu8o3q7GLBqRKwHzMzMxyPiGGDDzNy86nMOcCgwLSKOBNYADgIOHwtPHtKiZbjzLyJ2AV4B7gTmAR8Dvkh5rLw0LBFxCrAT5d/Q5yKivwpidmbOrvp4DdSoGMn88xqodomIfwYuAZ6gPORhe2ASsHXV3nXXPivFpEFk5nnAvsDXKQtcfgDYKjMfq7qsWm39/R+hLG65SdX/EGCfzPzZwoxb3WG484+SCDuO8rjkG6v+W2fmzxda0OomG1B+ub4TWAY4vHr9rap9JeDt/Z0z83nKN4MrA7cDp1DWNzl+4YWsLjKs+Vf5OmXu/YZyy9Fumfm9hRKtus1elP8ZvIZSadO/7V/Xx2ugRsuw51/Fa6DaYUXKOnRJmYMTgY9m5mVVe9dd+/pqtTGRvJMkSZIkSZLaxkoxSZIkSZIk9RyTYpIkSZIkSeo5JsUkSZIkSZLUc0yKSZIkSZIkqeeYFJMkSZIkSVLPMSkmSZIkSZKknrNEpwOQJEmSxpqIWB14BJiYmbc3vu9kbJIkLQoiYhNgf+B9wMrAlMycNswxTgDeD6wDTM/M1Zv0WRc4GdgQmAn8K3BEZtaGGt9KMUmSJI0pETEtIv6jTWPtGhGz2zGWJEmaz7LAPcCXgRdHOMZiwE+BM5o1RsTywFXAH4GJwD7AAcB+rQxupZgkSZIkSZLaKjMvBS6F8oVWY3tELAUcAewAvAG4D/h6Zl5RN8aXqr77Ax9ucpodgHHALpn5InBPRKwF7BcRxw9VLWZSTJIkSWNW9Uv2CpRviQ+k/GL8S+CLmTmn6rMJcCzl1ou5wP3A1Oq4n1R9+n9pPjwzD4uIHSnfbK9J+Xb7V8C+mfmHFuNaEvgu8FngTcDTwNmZedACfmRJkrrFT4C3A9sD/wNsBVwcERMz879bHGNj4MYqIdbvCkqybXXK0gYDMikmSZKkse6DwFPAFsBbgPOBB4BjImIJ4N+B0yjfJi8JrE9Jjt0E7AscTfmlHKD/VsqlgEMpCbQVgG8D/wZs0mJM+wCfArYDHgVWAWKEn0+SpK4SEW8HPgesnpmPV7tPjogtgC8Ae7U41IqUhFq9P9a1mRSTJElSV3sB2DMzXwV+FxEXAJsDxwDLA+OBizPz91X/+/sPjIjngVpmTq8fMDNPr3v7cETsWY29SmY2/vLdzGqUxNyN1a0bj1OScJIkqXxB1QfcFzHfd0ZLA9cOc6zGWyT7Btj/GibFJEmSNNbdVyXE+j0JbASQmTOrWyyviIhrgGuACzLzicEGjIj1KZVi6wFv5K+/YK/Ka7+RbmYa5ZbOByLiSsqaKpdl5rxWP5QkSV1sMUrSaiLwSkPbcBbln06pCKv35urPPzIEnz4pSZKksa7xl+kadb/nZuYUSpLsBuDjlETVRwYaLCJeT1mPZA6wE+UX9slV81KtBJSZv6WsZXIwf31y1lUR4e/fkiTBnZQvnFbMzIcatpbW76zcDHwwIl5Xt29Lyhdkjw51sJVikiRJ6nrVgr3/DXw7Ii4DdqEkvl4GFm/oviZlHbGDM/MRgIj49AjO+b/ABcAFVbXaLcA7KLdVSpLU1SJiWcq/e1C+IFo1ItYDZmbmAxFxNjAtIv4J+C2lMnsS8HBm/rwa4x3AssDKwFLV8VCqxF8GzqFUdk+LiCOBNYCDKA/O8fZJSZIk9a6IeCtlwd6LgD8AbwPeDfxL1eVR4HURsSXlW+s5lPW/XgL2johTgLUoT7Eaznn3oyz+/1+USrbtKWuftXLrpSRJ3WAD4Lq694dX20+BXYEpwCGUJ0SvAswEbms45sfApnXv76z+fCvwaGY+X/0bfgpwO/Ac5enPx7cSoEkxSZIkdbM5lG+NL6BUf/0ROJvyNEky86aIOJXyZMk3Ub5ZPiwidqE8lfKLwF3AfsDlwzjv/wIHAO+k3M55J/DRzJzTjg8lSdKiLjOv569rcjZrfwU4rNoG6jOphfPcTetPh55PX602ZDWZJEmSJEmS1FVc6FOSJEmSJEk9x6SYJEmSJEmSeo5JMUmSJEmSJPUck2KSJEmSJEnqOSbFJEmSJEmS1HNMikmSJEmSJKnnmBSTJEmSJElSzzEpJkmSJEmSpJ5jUkySJEmSJEk95/8A9fDnqxhWXaEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1296x936 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x2sis = []\n",
    "y2sis = []\n",
    "\n",
    "for i in range(len(highest_Installs_df)):\n",
    "    x2sis.append(highest_Installs_df.Installs[i])\n",
    "    y2sis.append(highest_Installs_df.index[i])\n",
    "\n",
    "plt.figure(figsize=(18,13))\n",
    "\n",
    "plt.xlabel(\"Installs\")\n",
    "plt.ylabel(\"Category\")\n",
    "graph = sns.barplot(x = x2sis, y = y2sis, alpha =0.9, palette= \"viridis\")\n",
    "graph.set_title(\"Installs\", fontsize = 25);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** From the above visualization, it can be interpreted that the top categories with highest installs are `Game`, `Family`, `Communication`, `News & Magazines`, & `Tools`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Asking and Answering Questions\n",
    "\n",
    "With the help of Data Analysis, we can answer to many questions which can't be answerd just by looking at the dataset. By querying on the dataset, and understanding the pattern and rate of growth and fall of any values we can come to many conclusions, and get insightfull information from it.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q1: What are the Top 10 installed apps in any `category`?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "def findtop10incategory(str):\n",
    "    str = str.upper()\n",
    "    top10 = googlestore_df[googlestore_df['Category'] == str]\n",
    "    top10apps = top10.sort_values(by='Installs', ascending=False).head(10)\n",
    "    # Top_Apps_in_art_and_design\n",
    "    plt.figure(figsize=(15,12))\n",
    "    plt.title('Top 10 Installed Apps',size = 20);    \n",
    "    graph = sns.barplot(x = top10apps.App, y = top10apps.Installs)\n",
    "    graph.set_xticklabels(graph.get_xticklabels(), rotation= 45, horizontalalignment='right');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "findtop10incategory('Sports')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** From the above graph we can see that in the `Sports` category **FIFA Soccer**, and **Dream League Soccee 2018** has the highest installs. In the same way we by passing different category names to the function, we can get the top 10 installed apps."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q2: Which are the top 10 expensive Apps in playstore?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "top10PaidApps = googlestore_df[googlestore_df['Type'] == 'Paid'].sort_values(by='Price', ascending=False).head(11)\n",
    "# top10PaidApps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "top10PaidApps_df = top10PaidApps[['App', 'Installs']].drop(9934)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,12));\n",
    "plt.pie(top10PaidApps_df.Installs, explode=None, labels=top10PaidApps_df.App, autopct='%1.1f%%', startangle=0);\n",
    "plt.title('Top Expensive Apps Distribution',size = 20);\n",
    "plt.legend(top10PaidApps_df.App, \n",
    "           loc=\"lower right\",\n",
    "           title=\"Apps\",\n",
    "           fontsize = \"xx-small\"\n",
    "          );"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** From the above graph we can interprete that the App `I am rich` is the most expensive app in the google playstore followed by `I am Rich Premium`. we also had to drop one row data for this visualization because the language of the app was `Chinese` and it was messing with the pie chart, visualization."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q3: Which are the Apps with highest number of reviews?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "Apps_with_Highest_rev = googlestore_df.sort_values(by='Reviews', ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1879</th>\n",
       "      <td>Clash of Clans</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.6</td>\n",
       "      <td>44893888</td>\n",
       "      <td>98000000.0</td>\n",
       "      <td>100000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1704</th>\n",
       "      <td>Clash of Clans</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.6</td>\n",
       "      <td>44891723</td>\n",
       "      <td>98000000.0</td>\n",
       "      <td>100000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1670</th>\n",
       "      <td>Clash of Clans</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.6</td>\n",
       "      <td>44891723</td>\n",
       "      <td>98000000.0</td>\n",
       "      <td>100000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3986</th>\n",
       "      <td>Clash of Clans</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.6</td>\n",
       "      <td>44881447</td>\n",
       "      <td>98000000.0</td>\n",
       "      <td>100000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1872</th>\n",
       "      <td>Subway Surfers</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.5</td>\n",
       "      <td>27725352</td>\n",
       "      <td>76000000.0</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Arcade</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1917</th>\n",
       "      <td>Subway Surfers</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.5</td>\n",
       "      <td>27725352</td>\n",
       "      <td>76000000.0</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Arcade</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1750</th>\n",
       "      <td>Subway Surfers</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.5</td>\n",
       "      <td>27724094</td>\n",
       "      <td>76000000.0</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Arcade</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1700</th>\n",
       "      <td>Subway Surfers</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.5</td>\n",
       "      <td>27723193</td>\n",
       "      <td>76000000.0</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Arcade</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1654</th>\n",
       "      <td>Subway Surfers</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.5</td>\n",
       "      <td>27722264</td>\n",
       "      <td>76000000.0</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Arcade</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3896</th>\n",
       "      <td>Subway Surfers</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.5</td>\n",
       "      <td>27711703</td>\n",
       "      <td>76000000.0</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Arcade</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1878</th>\n",
       "      <td>Clash Royale</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.6</td>\n",
       "      <td>23136735</td>\n",
       "      <td>97000000.0</td>\n",
       "      <td>100000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1721</th>\n",
       "      <td>Clash Royale</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.6</td>\n",
       "      <td>23134775</td>\n",
       "      <td>97000000.0</td>\n",
       "      <td>100000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1660</th>\n",
       "      <td>Clash Royale</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.6</td>\n",
       "      <td>23133508</td>\n",
       "      <td>97000000.0</td>\n",
       "      <td>100000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3987</th>\n",
       "      <td>Clash Royale</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.6</td>\n",
       "      <td>23125280</td>\n",
       "      <td>97000000.0</td>\n",
       "      <td>100000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Strategy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1869</th>\n",
       "      <td>Candy Crush Saga</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.4</td>\n",
       "      <td>22430188</td>\n",
       "      <td>74000000.0</td>\n",
       "      <td>500000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Casual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1966</th>\n",
       "      <td>Candy Crush Saga</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.4</td>\n",
       "      <td>22430188</td>\n",
       "      <td>74000000.0</td>\n",
       "      <td>500000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Casual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1842</th>\n",
       "      <td>Candy Crush Saga</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.4</td>\n",
       "      <td>22429716</td>\n",
       "      <td>74000000.0</td>\n",
       "      <td>500000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Casual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1705</th>\n",
       "      <td>Candy Crush Saga</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.4</td>\n",
       "      <td>22428456</td>\n",
       "      <td>74000000.0</td>\n",
       "      <td>500000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Casual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1751</th>\n",
       "      <td>Candy Crush Saga</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.4</td>\n",
       "      <td>22428456</td>\n",
       "      <td>74000000.0</td>\n",
       "      <td>500000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Casual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1655</th>\n",
       "      <td>Candy Crush Saga</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.4</td>\n",
       "      <td>22426677</td>\n",
       "      <td>74000000.0</td>\n",
       "      <td>500000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Casual</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   App Category  Rating   Reviews        Size    Installs  \\\n",
       "1879    Clash of Clans     GAME     4.6  44893888  98000000.0   100000000   \n",
       "1704    Clash of Clans     GAME     4.6  44891723  98000000.0   100000000   \n",
       "1670    Clash of Clans     GAME     4.6  44891723  98000000.0   100000000   \n",
       "3986    Clash of Clans   FAMILY     4.6  44881447  98000000.0   100000000   \n",
       "1872    Subway Surfers     GAME     4.5  27725352  76000000.0  1000000000   \n",
       "1917    Subway Surfers     GAME     4.5  27725352  76000000.0  1000000000   \n",
       "1750    Subway Surfers     GAME     4.5  27724094  76000000.0  1000000000   \n",
       "1700    Subway Surfers     GAME     4.5  27723193  76000000.0  1000000000   \n",
       "1654    Subway Surfers     GAME     4.5  27722264  76000000.0  1000000000   \n",
       "3896    Subway Surfers     GAME     4.5  27711703  76000000.0  1000000000   \n",
       "1878      Clash Royale     GAME     4.6  23136735  97000000.0   100000000   \n",
       "1721      Clash Royale     GAME     4.6  23134775  97000000.0   100000000   \n",
       "1660      Clash Royale     GAME     4.6  23133508  97000000.0   100000000   \n",
       "3987      Clash Royale   FAMILY     4.6  23125280  97000000.0   100000000   \n",
       "1869  Candy Crush Saga     GAME     4.4  22430188  74000000.0   500000000   \n",
       "1966  Candy Crush Saga     GAME     4.4  22430188  74000000.0   500000000   \n",
       "1842  Candy Crush Saga     GAME     4.4  22429716  74000000.0   500000000   \n",
       "1705  Candy Crush Saga     GAME     4.4  22428456  74000000.0   500000000   \n",
       "1751  Candy Crush Saga     GAME     4.4  22428456  74000000.0   500000000   \n",
       "1655  Candy Crush Saga     GAME     4.4  22426677  74000000.0   500000000   \n",
       "\n",
       "      Type  Price Content Rating    Genres  \n",
       "1879  Free    0.0   Everyone 10+  Strategy  \n",
       "1704  Free    0.0   Everyone 10+  Strategy  \n",
       "1670  Free    0.0   Everyone 10+  Strategy  \n",
       "3986  Free    0.0   Everyone 10+  Strategy  \n",
       "1872  Free    0.0   Everyone 10+    Arcade  \n",
       "1917  Free    0.0   Everyone 10+    Arcade  \n",
       "1750  Free    0.0   Everyone 10+    Arcade  \n",
       "1700  Free    0.0   Everyone 10+    Arcade  \n",
       "1654  Free    0.0   Everyone 10+    Arcade  \n",
       "3896  Free    0.0   Everyone 10+    Arcade  \n",
       "1878  Free    0.0   Everyone 10+  Strategy  \n",
       "1721  Free    0.0   Everyone 10+  Strategy  \n",
       "1660  Free    0.0   Everyone 10+  Strategy  \n",
       "3987  Free    0.0   Everyone 10+  Strategy  \n",
       "1869  Free    0.0       Everyone    Casual  \n",
       "1966  Free    0.0       Everyone    Casual  \n",
       "1842  Free    0.0       Everyone    Casual  \n",
       "1705  Free    0.0       Everyone    Casual  \n",
       "1751  Free    0.0       Everyone    Casual  \n",
       "1655  Free    0.0       Everyone    Casual  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Apps_with_Highest_rev"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** From the above dataframe we can interprete, and come to conculsion that the Apps like `Clash of Clans`, `Subway Surfers`, `Clash Royale`, and `Candy Crush Saga` has the highest number of reviews on google playstore."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q4: What are the count of Apps in different genres?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "topAppsinGenres = googlestore_df['Genres'].value_counts().head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "x3sis = []\n",
    "y3sis = []\n",
    "\n",
    "for i in range(len(topAppsinGenres)):\n",
    "    x3sis.append(topAppsinGenres.index[i])\n",
    "    y3sis.append(topAppsinGenres[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,9))\n",
    "plt.ylabel('Genres(App Count)')\n",
    "plt.xlabel('Genres')\n",
    "graph = sns.barplot(x=x3sis,y=y3sis,palette=\"deep\")\n",
    "graph.set_xticklabels(graph.get_xticklabels(), rotation=90, fontsize=12)\n",
    "graph.set_title(\"Top Genres in the Playstore\", fontsize = 20);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** From the above visualization we can see that the Highest Number of Apps found in the `Tools` and `Entertainment` genres followed by `Education`, `Medical` and many more."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q5: Which are the apps that have made the highest earning?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "Paid_Apps_df = googlestore_df[googlestore_df['Type'] == 'Paid']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "earning_df = Paid_Apps_df[['App', 'Installs', 'Price']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "earning_df['Earnings'] = earning_df['Installs'] * earning_df['Price'];"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "earning_df_sorted_by_Earnings = earning_df.sort_values(by='Earnings', ascending=False).head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "earning_df_sorted_by_Price = earning_df_sorted_by_Earnings.sort_values(by='Price', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# PLot a bar chart of earning at y and app names at x\n",
    "plt.figure(figsize=(15,9))\n",
    "plt.bar(earning_df_sorted_by_Price.App, earning_df_sorted_by_Price.Earnings, width=1.1, label=earning_df_sorted_by_Price.Earnings)\n",
    "plt.xlabel(\"Apps\")\n",
    "plt.ylabel(\"Earnings\")\n",
    "plt.tick_params(rotation=90)\n",
    "plt.title(\"Top Earning Apps\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** The top five apps with highest earnings found on google playstore are:-\n",
    "- `I am Rich`\n",
    "- `I am Rich Premium`\n",
    "- `Hitman Sniper`\n",
    "- `Grand Theft Auto: San Andreas`\n",
    "- `Facetune - For Free`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inferences and Conclusion\n",
    "\n",
    "*After Analyzing the dataset I have got answers to some of the serious & interesting question which any of the android users would love to know.*\n",
    "\n",
    "1. ***Top categories on Google Playstore?***\n",
    "2. ***Which category of Content are found more?***\n",
    "3. ***Distribution of the ratings of the apps?***\n",
    "4. ***What percentage of apps are Free and Paid?***\n",
    "5. ***Which category of App's have most number of installs?***\n",
    "6. ***What are the Top 10 installed apps in different category?***\n",
    "7. ***Which are the top expensive Apps?***\n",
    "8. ***Which are the Apps with highest number of reviews?***\n",
    "9. ***Count of Apps found in different genres?***\n",
    "10. ***Which are the apps that have made the highest earning?***\n",
    "\n",
    "After the completion of my project and the course I have learned and got exposure to different tools and techniques in data analysis. I was able to complete the project successfully with the help of tools like Python, Pandas, Matplotlib, Numpy, Seaborn, and Jovian. Also I learned different techniques like Data Cleaning, Data Preparation, Data Exploration and visualization, and Data Interpretation. Lastlty I would like to thank `@Aakash N S` Sir for organising this course for `Free` from [jovian.ml](https://www.jovian.ml/) in collaboration with [freecodecamp.org](https://www.freecodecamp.org/).<br>\n",
    "> For more details about this course visit:- [LINK](zerotopandas.com)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## References and Future Work\n",
    "### References\n",
    "- https://jovian.ml/learn/data-analysis-with-python-zero-to-pandas\n",
    "- https://jovian.ml/forum/t/course-project-on-exploratory-data-analysis-discuss-and-share-your-work/11684\n",
    "- https://www.youtube.com/playlist?list=PLWKjhJtqVAblvI1i46ScbKV2jH1gdL7VQ\n",
    "\n",
    "### Future Work:\n",
    "- After this analysis is done I want to take it one step further by deploying a Web App for answering to different questions of many users all around the globe, which may help different app developers before for making certain decision before starting their work."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "window.require && require([\"base/js/namespace\"],function(Jupyter){Jupyter.notebook.save_checkpoint()})"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[jovian] Attempting to save notebook..\n",
      "[jovian] Updating notebook \"manishshah120/googleplaystoreanalysis\" on https://jovian.ml/\n",
      "[jovian] Uploading notebook..\n",
      "[jovian] Capturing environment..\n",
      "[jovian] Committed successfully! https://jovian.ml/manishshah120/googleplaystoreanalysis\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'https://jovian.ml/manishshah120/googleplaystoreanalysis'"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# jovian.commit(message=\"Completed\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "                                        ---The END---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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