PlaystoreMachineLearningProject.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     C:\\Users\\ozlem\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n"
     ]
    }
   ],
   "source": [
    "import warnings\n",
    "import numpy as np\n",
    "import pandas as pd \n",
    "import statsmodels.api as sm\n",
    "import seaborn as sns\n",
    "from sklearn.preprocessing import scale \n",
    "from sklearn.model_selection import train_test_split, GridSearchCV, cross_val_score\n",
    "from sklearn.metrics import confusion_matrix, accuracy_score, classification_report\n",
    "from sklearn.metrics import roc_auc_score,roc_curve\n",
    "import statsmodels.formula.api as smf\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn import tree\n",
    "from sklearn.svm import SVC\n",
    "from PIL import Image\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "from wordcloud import WordCloud\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "import nltk\n",
    "nltk.download('stopwords')\n",
    "#nltk.download('punkt')\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.tokenize import word_tokenize\n",
    "\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "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",
      "App               10841 non-null object\n",
      "Category          10841 non-null object\n",
      "Rating            9367 non-null float64\n",
      "Reviews           10841 non-null object\n",
      "Size              10841 non-null object\n",
      "Installs          10841 non-null object\n",
      "Type              10840 non-null object\n",
      "Price             10841 non-null object\n",
      "Content Rating    10840 non-null object\n",
      "Genres            10841 non-null object\n",
      "Last Updated      10841 non-null object\n",
      "Current Ver       10833 non-null object\n",
      "Android Ver       10838 non-null object\n",
      "dtypes: float64(1), object(12)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "data = pd.read_csv(\"googleplaystore.csv\")\n",
    "comments = pd.read_csv(\"googleplaystore_user_reviews.csv\")\n",
    "comments.dropna(inplace = True, how = \"any\")\n",
    "df = data.copy()\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Photo Editor &amp; Candy Camera &amp; Grid &amp; ScrapBook</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>159</td>\n",
       "      <td>19M</td>\n",
       "      <td>10,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>January 7, 2018</td>\n",
       "      <td>1.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Coloring book moana</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>3.9</td>\n",
       "      <td>967</td>\n",
       "      <td>14M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>January 15, 2018</td>\n",
       "      <td>2.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510</td>\n",
       "      <td>8.7M</td>\n",
       "      <td>5,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 1, 2018</td>\n",
       "      <td>1.2.4</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sketch - Draw &amp; Paint</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>215644</td>\n",
       "      <td>25M</td>\n",
       "      <td>50,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>June 8, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967</td>\n",
       "      <td>2.8M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>June 20, 2018</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "    <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",
       "  </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",
       "\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",
       "\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",
       "\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  "
      ]
     },
     "execution_count": 200,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 10841 observations and 13 features in this dataset. \n",
      "\n",
      "There are 27994 types of word in this dataset such as 'I like eat delicious food. That's I'm cooking food myself, case \"10 Best Foods\" helps lot, also \"Best Before (Shelf Life)\", This help eating healthy exercise regular basis, Works great especially going grocery store, Best idea us, Best way'... \n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"There are {} observations and {} features in this dataset. \\n\".format(df.shape[0],df.shape[1]))\n",
    "\n",
    "print(\"There are {} types of word in this dataset such as '{}'... \\n\".format(len(comments.Translated_Review.unique()),\n",
    "                                                                           \", \".join(comments.Translated_Review.unique()[0:5])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 37427 entries, 0 to 64230\n",
      "Data columns (total 5 columns):\n",
      "App                       37427 non-null object\n",
      "Translated_Review         37427 non-null object\n",
      "Sentiment                 37427 non-null object\n",
      "Sentiment_Polarity        37427 non-null float64\n",
      "Sentiment_Subjectivity    37427 non-null float64\n",
      "dtypes: float64(2), object(3)\n",
      "memory usage: 1.7+ MB\n"
     ]
    }
   ],
   "source": [
    "comments.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Translated_Review</th>\n",
       "      <th>Sentiment</th>\n",
       "      <th>Sentiment_Polarity</th>\n",
       "      <th>Sentiment_Subjectivity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10 Best Foods for You</td>\n",
       "      <td>I like eat delicious food. That's I'm cooking ...</td>\n",
       "      <td>Positive</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.533333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10 Best Foods for You</td>\n",
       "      <td>This help eating healthy exercise regular basis</td>\n",
       "      <td>Positive</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.288462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10 Best Foods for You</td>\n",
       "      <td>Works great especially going grocery store</td>\n",
       "      <td>Positive</td>\n",
       "      <td>0.40</td>\n",
       "      <td>0.875000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10 Best Foods for You</td>\n",
       "      <td>Best idea us</td>\n",
       "      <td>Positive</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10 Best Foods for You</td>\n",
       "      <td>Best way</td>\n",
       "      <td>Positive</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10 Best Foods for You</td>\n",
       "      <td>Amazing</td>\n",
       "      <td>Positive</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>10 Best Foods for You</td>\n",
       "      <td>Looking forward app,</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     App                                  Translated_Review  \\\n",
       "0  10 Best Foods for You  I like eat delicious food. That's I'm cooking ...   \n",
       "1  10 Best Foods for You    This help eating healthy exercise regular basis   \n",
       "3  10 Best Foods for You         Works great especially going grocery store   \n",
       "4  10 Best Foods for You                                       Best idea us   \n",
       "5  10 Best Foods for You                                           Best way   \n",
       "6  10 Best Foods for You                                            Amazing   \n",
       "8  10 Best Foods for You                               Looking forward app,   \n",
       "\n",
       "  Sentiment  Sentiment_Polarity  Sentiment_Subjectivity  \n",
       "0  Positive                1.00                0.533333  \n",
       "1  Positive                0.25                0.288462  \n",
       "3  Positive                0.40                0.875000  \n",
       "4  Positive                1.00                0.300000  \n",
       "5  Positive                1.00                0.300000  \n",
       "6  Positive                0.60                0.900000  \n",
       "8   Neutral                0.00                0.000000  "
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comments.head(7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"Health It's important world either life . think? :)\""
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comments.Translated_Review[16]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [],
   "source": [
    "#comments.Sentiment_Subjectivity = comments.Sentiment_Polarity.apply(lambda x: float(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [],
   "source": [
    "#comments = comments[comments[\"Sentiment_Subjectivity\"] < 0.5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "37427"
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(comments)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 9360 entries, 0 to 10840\n",
      "Data columns (total 13 columns):\n",
      "App               9360 non-null object\n",
      "Category          9360 non-null object\n",
      "Rating            9360 non-null float64\n",
      "Reviews           9360 non-null object\n",
      "Size              9360 non-null object\n",
      "Installs          9360 non-null object\n",
      "Type              9360 non-null object\n",
      "Price             9360 non-null object\n",
      "Content Rating    9360 non-null object\n",
      "Genres            9360 non-null object\n",
      "Last Updated      9360 non-null object\n",
      "Current Ver       9360 non-null object\n",
      "Android Ver       9360 non-null object\n",
      "dtypes: float64(1), object(12)\n",
      "memory usage: 1023.8+ KB\n"
     ]
    }
   ],
   "source": [
    "df.dropna(inplace = True, how = \"any\")\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <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",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Text on Photo - Fonteee</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.4</td>\n",
       "      <td>13880</td>\n",
       "      <td>28M</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>October 27, 2017</td>\n",
       "      <td>1.0.4</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Name Art Photo Editor - Focus n Filters</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.4</td>\n",
       "      <td>8788</td>\n",
       "      <td>12M</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>July 31, 2018</td>\n",
       "      <td>1.0.15</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Tattoo Name On My Photo Editor</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.2</td>\n",
       "      <td>44829</td>\n",
       "      <td>20M</td>\n",
       "      <td>10,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>April 2, 2018</td>\n",
       "      <td>3.8</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Mandala Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.6</td>\n",
       "      <td>4326</td>\n",
       "      <td>21M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>June 26, 2018</td>\n",
       "      <td>1.0.4</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3D Color Pixel by Number - Sandbox Art Coloring</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1518</td>\n",
       "      <td>37M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 3, 2018</td>\n",
       "      <td>1.2.3</td>\n",
       "      <td>2.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Photo Designer - Write your name with shapes</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3632</td>\n",
       "      <td>5.5M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>July 31, 2018</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>350 Diy Room Decor Ideas</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>27</td>\n",
       "      <td>17M</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>November 7, 2017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>FlipaClip - Cartoon animation</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>194216</td>\n",
       "      <td>39M</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 3, 2018</td>\n",
       "      <td>2.2.5</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>ibis Paint X</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.6</td>\n",
       "      <td>224399</td>\n",
       "      <td>31M</td>\n",
       "      <td>10,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>July 30, 2018</td>\n",
       "      <td>5.5.4</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Logo Maker - Small Business</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>450</td>\n",
       "      <td>14M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>April 20, 2018</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Boys Photo Editor - Six Pack &amp; Men's Suit</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>654</td>\n",
       "      <td>12M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>March 20, 2018</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Superheroes Wallpapers | 4K Backgrounds</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>7699</td>\n",
       "      <td>4.2M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>July 12, 2018</td>\n",
       "      <td>2.2.6.2</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>HD Mickey Minnie Wallpapers</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>118</td>\n",
       "      <td>23M</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>July 7, 2018</td>\n",
       "      <td>1.1.3</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Harley Quinn wallpapers HD</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.8</td>\n",
       "      <td>192</td>\n",
       "      <td>6.0M</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>April 25, 2018</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Colorfit - Drawing &amp; Coloring</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>20260</td>\n",
       "      <td>25M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>October 11, 2017</td>\n",
       "      <td>1.0.8</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Animated Photo Editor</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>203</td>\n",
       "      <td>6.1M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>March 21, 2018</td>\n",
       "      <td>1.03</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Pencil Sketch Drawing</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>3.9</td>\n",
       "      <td>136</td>\n",
       "      <td>4.6M</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>July 12, 2018</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Easy Realistic Drawing Tutorial</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>223</td>\n",
       "      <td>4.2M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 22, 2017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Pink Silver Bow Keyboard Theme</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1120</td>\n",
       "      <td>9.2M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>July 12, 2018</td>\n",
       "      <td>6.7.12.2018</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Art Drawing Ideas</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>227</td>\n",
       "      <td>5.2M</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>May 31, 2018</td>\n",
       "      <td>1.2</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>72</th>\n",
       "      <td>Android Auto - Maps, Media, Messaging &amp; Voice</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.2</td>\n",
       "      <td>271920</td>\n",
       "      <td>16M</td>\n",
       "      <td>10,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>July 11, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>5.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>PDD-UA</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.8</td>\n",
       "      <td>736</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>July 29, 2018</td>\n",
       "      <td>2.9</td>\n",
       "      <td>2.3.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Tickets SDA 2019 + Exam RF</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.8</td>\n",
       "      <td>7021</td>\n",
       "      <td>17M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>July 27, 2018</td>\n",
       "      <td>1.79</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Super Cars Wallpapers And Backgrounds</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.6</td>\n",
       "      <td>197</td>\n",
       "      <td>3.4M</td>\n",
       "      <td>50,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>June 14, 2018</td>\n",
       "      <td>1.3</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Police Lights, Sirens &amp; Follow Me</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.5</td>\n",
       "      <td>737</td>\n",
       "      <td>8.9M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>June 8, 2018</td>\n",
       "      <td>2.3.5.1</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Police Detector (Speed Camera Radar)</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.3</td>\n",
       "      <td>3574</td>\n",
       "      <td>3.9M</td>\n",
       "      <td>1,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>July 4, 2018</td>\n",
       "      <td>1.6</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Best Car Wallpapers</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.5</td>\n",
       "      <td>994</td>\n",
       "      <td>2.9M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>March 27, 2018</td>\n",
       "      <td>1.6</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Tickets + PDA 2018 Exam</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.9</td>\n",
       "      <td>197136</td>\n",
       "      <td>38M</td>\n",
       "      <td>1,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>July 15, 2018</td>\n",
       "      <td>8.31</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Pick Your Part Garage</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>3.9</td>\n",
       "      <td>142</td>\n",
       "      <td>32M</td>\n",
       "      <td>50,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>July 24, 2018</td>\n",
       "      <td>1.1.5.0</td>\n",
       "      <td>6.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>PakWheels: Buy &amp; Sell Cars</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.4</td>\n",
       "      <td>15168</td>\n",
       "      <td>37M</td>\n",
       "      <td>1,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>July 27, 2018</td>\n",
       "      <td>10.0.2</td>\n",
       "      <td>4.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Supervision service</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2155</td>\n",
       "      <td>15M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>July 30, 2018</td>\n",
       "      <td>1.10.3</td>\n",
       "      <td>5.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Speed Camera Detector - Traffic &amp; Speed Alert</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.3</td>\n",
       "      <td>138</td>\n",
       "      <td>5.4M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>July 23, 2018</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Used car search Goo net whole car Go to net</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>3.7</td>\n",
       "      <td>5414</td>\n",
       "      <td>18M</td>\n",
       "      <td>1,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>July 23, 2018</td>\n",
       "      <td>3.20.1</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>CarMax – Cars for Sale: Search Used Car Inventory</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.4</td>\n",
       "      <td>21777</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>1,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>August 4, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>Varies with device</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>BEST CAR SOUNDS</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.3</td>\n",
       "      <td>348</td>\n",
       "      <td>38M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>July 29, 2018</td>\n",
       "      <td>1.0.3</td>\n",
       "      <td>2.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>RST - Sale of cars on the PCT</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>3.2</td>\n",
       "      <td>250</td>\n",
       "      <td>1.1M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>April 27, 2018</td>\n",
       "      <td>1.4</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>AutoScout24 Switzerland – Find your new car</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.6</td>\n",
       "      <td>13372</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>1,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>August 3, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>Varies with device</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Zona Azul Digital Fácil SP CET - OFFICIAL São ...</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.6</td>\n",
       "      <td>7880</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>May 10, 2018</td>\n",
       "      <td>4.6.5</td>\n",
       "      <td>Varies with device</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>SMS Park</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3617</td>\n",
       "      <td>7.9M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>May 16, 2018</td>\n",
       "      <td>2.8.2</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>SKencar</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>3.7</td>\n",
       "      <td>4806</td>\n",
       "      <td>35M</td>\n",
       "      <td>1,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>July 31, 2018</td>\n",
       "      <td>4.0.3</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Fuelio: Gas log &amp; costs</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.6</td>\n",
       "      <td>65786</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>1,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>August 2, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>auto fines</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.6</td>\n",
       "      <td>31433</td>\n",
       "      <td>17M</td>\n",
       "      <td>1,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>August 2, 2018</td>\n",
       "      <td>1.40</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Used car is the first car - used car purchase,...</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.6</td>\n",
       "      <td>5097</td>\n",
       "      <td>19M</td>\n",
       "      <td>1,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>July 23, 2018</td>\n",
       "      <td>1.5.18</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>All of the parking lot - National Park applica...</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1754</td>\n",
       "      <td>14M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>June 2, 2018</td>\n",
       "      <td>2.3.4</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Inquiry Fines and Debits of Vehicles</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.4</td>\n",
       "      <td>2680</td>\n",
       "      <td>2.2M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>March 20, 2018</td>\n",
       "      <td>1.03</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Gas Station</td>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1288</td>\n",
       "      <td>4.5M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Auto &amp; Vehicles</td>\n",
       "      <td>April 21, 2018</td>\n",
       "      <td>2.17</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Hush - Beauty for Everyone</td>\n",
       "      <td>BEAUTY</td>\n",
       "      <td>4.7</td>\n",
       "      <td>18900</td>\n",
       "      <td>17M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Beauty</td>\n",
       "      <td>August 2, 2018</td>\n",
       "      <td>6.10.1</td>\n",
       "      <td>5.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>ipsy: Makeup, Beauty, and Tips</td>\n",
       "      <td>BEAUTY</td>\n",
       "      <td>4.9</td>\n",
       "      <td>49790</td>\n",
       "      <td>14M</td>\n",
       "      <td>1,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Beauty</td>\n",
       "      <td>November 9, 2017</td>\n",
       "      <td>2.3.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Natural recipes for your beauty</td>\n",
       "      <td>BEAUTY</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1150</td>\n",
       "      <td>9.8M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Beauty</td>\n",
       "      <td>May 15, 2018</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>BestCam Selfie-selfie, beauty camera, photo ed...</td>\n",
       "      <td>BEAUTY</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1739</td>\n",
       "      <td>21M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Beauty</td>\n",
       "      <td>July 12, 2018</td>\n",
       "      <td>1.0.6</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   App           Category  \\\n",
       "0       Photo Editor & Candy Camera & Grid & ScrapBook     ART_AND_DESIGN   \n",
       "1                                  Coloring book moana     ART_AND_DESIGN   \n",
       "2    U Launcher Lite – FREE Live Cool Themes, Hide ...     ART_AND_DESIGN   \n",
       "3                                Sketch - Draw & Paint     ART_AND_DESIGN   \n",
       "4                Pixel Draw - Number Art Coloring Book     ART_AND_DESIGN   \n",
       "5                           Paper flowers instructions     ART_AND_DESIGN   \n",
       "6              Smoke Effect Photo Maker - Smoke Editor     ART_AND_DESIGN   \n",
       "7                                     Infinite Painter     ART_AND_DESIGN   \n",
       "8                                 Garden Coloring Book     ART_AND_DESIGN   \n",
       "9                        Kids Paint Free - Drawing Fun     ART_AND_DESIGN   \n",
       "10                             Text on Photo - Fonteee     ART_AND_DESIGN   \n",
       "11             Name Art Photo Editor - Focus n Filters     ART_AND_DESIGN   \n",
       "12                      Tattoo Name On My Photo Editor     ART_AND_DESIGN   \n",
       "13                               Mandala Coloring Book     ART_AND_DESIGN   \n",
       "14     3D Color Pixel by Number - Sandbox Art Coloring     ART_AND_DESIGN   \n",
       "16        Photo Designer - Write your name with shapes     ART_AND_DESIGN   \n",
       "17                            350 Diy Room Decor Ideas     ART_AND_DESIGN   \n",
       "18                       FlipaClip - Cartoon animation     ART_AND_DESIGN   \n",
       "19                                        ibis Paint X     ART_AND_DESIGN   \n",
       "20                         Logo Maker - Small Business     ART_AND_DESIGN   \n",
       "21           Boys Photo Editor - Six Pack & Men's Suit     ART_AND_DESIGN   \n",
       "22             Superheroes Wallpapers | 4K Backgrounds     ART_AND_DESIGN   \n",
       "24                         HD Mickey Minnie Wallpapers     ART_AND_DESIGN   \n",
       "25                          Harley Quinn wallpapers HD     ART_AND_DESIGN   \n",
       "26                       Colorfit - Drawing & Coloring     ART_AND_DESIGN   \n",
       "27                               Animated Photo Editor     ART_AND_DESIGN   \n",
       "28                               Pencil Sketch Drawing     ART_AND_DESIGN   \n",
       "29                     Easy Realistic Drawing Tutorial     ART_AND_DESIGN   \n",
       "30                      Pink Silver Bow Keyboard Theme     ART_AND_DESIGN   \n",
       "31                                   Art Drawing Ideas     ART_AND_DESIGN   \n",
       "..                                                 ...                ...   \n",
       "72       Android Auto - Maps, Media, Messaging & Voice  AUTO_AND_VEHICLES   \n",
       "73                                              PDD-UA  AUTO_AND_VEHICLES   \n",
       "74                          Tickets SDA 2019 + Exam RF  AUTO_AND_VEHICLES   \n",
       "75               Super Cars Wallpapers And Backgrounds  AUTO_AND_VEHICLES   \n",
       "76                   Police Lights, Sirens & Follow Me  AUTO_AND_VEHICLES   \n",
       "77                Police Detector (Speed Camera Radar)  AUTO_AND_VEHICLES   \n",
       "78                                 Best Car Wallpapers  AUTO_AND_VEHICLES   \n",
       "79                             Tickets + PDA 2018 Exam  AUTO_AND_VEHICLES   \n",
       "80                               Pick Your Part Garage  AUTO_AND_VEHICLES   \n",
       "81                          PakWheels: Buy & Sell Cars  AUTO_AND_VEHICLES   \n",
       "82                                 Supervision service  AUTO_AND_VEHICLES   \n",
       "83       Speed Camera Detector - Traffic & Speed Alert  AUTO_AND_VEHICLES   \n",
       "84         Used car search Goo net whole car Go to net  AUTO_AND_VEHICLES   \n",
       "85   CarMax – Cars for Sale: Search Used Car Inventory  AUTO_AND_VEHICLES   \n",
       "86                                     BEST CAR SOUNDS  AUTO_AND_VEHICLES   \n",
       "87                       RST - Sale of cars on the PCT  AUTO_AND_VEHICLES   \n",
       "88         AutoScout24 Switzerland – Find your new car  AUTO_AND_VEHICLES   \n",
       "89   Zona Azul Digital Fácil SP CET - OFFICIAL São ...  AUTO_AND_VEHICLES   \n",
       "90                                            SMS Park  AUTO_AND_VEHICLES   \n",
       "91                                             SKencar  AUTO_AND_VEHICLES   \n",
       "92                             Fuelio: Gas log & costs  AUTO_AND_VEHICLES   \n",
       "93                                          auto fines  AUTO_AND_VEHICLES   \n",
       "94   Used car is the first car - used car purchase,...  AUTO_AND_VEHICLES   \n",
       "95   All of the parking lot - National Park applica...  AUTO_AND_VEHICLES   \n",
       "96                Inquiry Fines and Debits of Vehicles  AUTO_AND_VEHICLES   \n",
       "97                                         Gas Station  AUTO_AND_VEHICLES   \n",
       "98                          Hush - Beauty for Everyone             BEAUTY   \n",
       "99                      ipsy: Makeup, Beauty, and Tips             BEAUTY   \n",
       "100                    Natural recipes for your beauty             BEAUTY   \n",
       "101  BestCam Selfie-selfie, beauty camera, photo ed...             BEAUTY   \n",
       "\n",
       "     Rating Reviews                Size     Installs  Type Price  \\\n",
       "0       4.1     159                 19M      10,000+  Free     0   \n",
       "1       3.9     967                 14M     500,000+  Free     0   \n",
       "2       4.7   87510                8.7M   5,000,000+  Free     0   \n",
       "3       4.5  215644                 25M  50,000,000+  Free     0   \n",
       "4       4.3     967                2.8M     100,000+  Free     0   \n",
       "5       4.4     167                5.6M      50,000+  Free     0   \n",
       "6       3.8     178                 19M      50,000+  Free     0   \n",
       "7       4.1   36815                 29M   1,000,000+  Free     0   \n",
       "8       4.4   13791                 33M   1,000,000+  Free     0   \n",
       "9       4.7     121                3.1M      10,000+  Free     0   \n",
       "10      4.4   13880                 28M   1,000,000+  Free     0   \n",
       "11      4.4    8788                 12M   1,000,000+  Free     0   \n",
       "12      4.2   44829                 20M  10,000,000+  Free     0   \n",
       "13      4.6    4326                 21M     100,000+  Free     0   \n",
       "14      4.4    1518                 37M     100,000+  Free     0   \n",
       "16      4.7    3632                5.5M     500,000+  Free     0   \n",
       "17      4.5      27                 17M      10,000+  Free     0   \n",
       "18      4.3  194216                 39M   5,000,000+  Free     0   \n",
       "19      4.6  224399                 31M  10,000,000+  Free     0   \n",
       "20      4.0     450                 14M     100,000+  Free     0   \n",
       "21      4.1     654                 12M     100,000+  Free     0   \n",
       "22      4.7    7699                4.2M     500,000+  Free     0   \n",
       "24      4.7     118                 23M      50,000+  Free     0   \n",
       "25      4.8     192                6.0M      10,000+  Free     0   \n",
       "26      4.7   20260                 25M     500,000+  Free     0   \n",
       "27      4.1     203                6.1M     100,000+  Free     0   \n",
       "28      3.9     136                4.6M      10,000+  Free     0   \n",
       "29      4.1     223                4.2M     100,000+  Free     0   \n",
       "30      4.2    1120                9.2M     100,000+  Free     0   \n",
       "31      4.1     227                5.2M      50,000+  Free     0   \n",
       "..      ...     ...                 ...          ...   ...   ...   \n",
       "72      4.2  271920                 16M  10,000,000+  Free     0   \n",
       "73      4.8     736  Varies with device     100,000+  Free     0   \n",
       "74      4.8    7021                 17M     500,000+  Free     0   \n",
       "75      4.6     197                3.4M      50,000+  Free     0   \n",
       "76      4.5     737                8.9M     100,000+  Free     0   \n",
       "77      4.3    3574                3.9M   1,000,000+  Free     0   \n",
       "78      4.5     994                2.9M     100,000+  Free     0   \n",
       "79      4.9  197136                 38M   1,000,000+  Free     0   \n",
       "80      3.9     142                 32M      50,000+  Free     0   \n",
       "81      4.4   15168                 37M   1,000,000+  Free     0   \n",
       "82      4.0    2155                 15M     500,000+  Free     0   \n",
       "83      4.3     138                5.4M     100,000+  Free     0   \n",
       "84      3.7    5414                 18M   1,000,000+  Free     0   \n",
       "85      4.4   21777  Varies with device   1,000,000+  Free     0   \n",
       "86      4.3     348                 38M     100,000+  Free     0   \n",
       "87      3.2     250                1.1M     100,000+  Free     0   \n",
       "88      4.6   13372  Varies with device   1,000,000+  Free     0   \n",
       "89      4.6    7880  Varies with device     100,000+  Free     0   \n",
       "90      4.5    3617                7.9M     100,000+  Free     0   \n",
       "91      3.7    4806                 35M   1,000,000+  Free     0   \n",
       "92      4.6   65786  Varies with device   1,000,000+  Free     0   \n",
       "93      4.6   31433                 17M   1,000,000+  Free     0   \n",
       "94      4.6    5097                 19M   1,000,000+  Free     0   \n",
       "95      4.0    1754                 14M     500,000+  Free     0   \n",
       "96      4.4    2680                2.2M     500,000+  Free     0   \n",
       "97      4.0    1288                4.5M     100,000+  Free     0   \n",
       "98      4.7   18900                 17M     500,000+  Free     0   \n",
       "99      4.9   49790                 14M   1,000,000+  Free     0   \n",
       "100     4.7    1150                9.8M     100,000+  Free     0   \n",
       "101     3.9    1739                 21M     500,000+  Free     0   \n",
       "\n",
       "    Content Rating                     Genres        Last Updated  \\\n",
       "0         Everyone               Art & Design     January 7, 2018   \n",
       "1         Everyone  Art & Design;Pretend Play    January 15, 2018   \n",
       "2         Everyone               Art & Design      August 1, 2018   \n",
       "3             Teen               Art & Design        June 8, 2018   \n",
       "4         Everyone    Art & Design;Creativity       June 20, 2018   \n",
       "5         Everyone               Art & Design      March 26, 2017   \n",
       "6         Everyone               Art & Design      April 26, 2018   \n",
       "7         Everyone               Art & Design       June 14, 2018   \n",
       "8         Everyone               Art & Design  September 20, 2017   \n",
       "9         Everyone    Art & Design;Creativity        July 3, 2018   \n",
       "10        Everyone               Art & Design    October 27, 2017   \n",
       "11        Everyone               Art & Design       July 31, 2018   \n",
       "12            Teen               Art & Design       April 2, 2018   \n",
       "13        Everyone               Art & Design       June 26, 2018   \n",
       "14        Everyone               Art & Design      August 3, 2018   \n",
       "16        Everyone               Art & Design       July 31, 2018   \n",
       "17        Everyone               Art & Design    November 7, 2017   \n",
       "18        Everyone               Art & Design      August 3, 2018   \n",
       "19        Everyone               Art & Design       July 30, 2018   \n",
       "20        Everyone               Art & Design      April 20, 2018   \n",
       "21        Everyone               Art & Design      March 20, 2018   \n",
       "22    Everyone 10+               Art & Design       July 12, 2018   \n",
       "24        Everyone               Art & Design        July 7, 2018   \n",
       "25        Everyone               Art & Design      April 25, 2018   \n",
       "26        Everyone    Art & Design;Creativity    October 11, 2017   \n",
       "27        Everyone               Art & Design      March 21, 2018   \n",
       "28        Everyone               Art & Design       July 12, 2018   \n",
       "29        Everyone               Art & Design     August 22, 2017   \n",
       "30        Everyone               Art & Design       July 12, 2018   \n",
       "31        Everyone               Art & Design        May 31, 2018   \n",
       "..             ...                        ...                 ...   \n",
       "72            Teen            Auto & Vehicles       July 11, 2018   \n",
       "73        Everyone            Auto & Vehicles       July 29, 2018   \n",
       "74        Everyone            Auto & Vehicles       July 27, 2018   \n",
       "75        Everyone            Auto & Vehicles       June 14, 2018   \n",
       "76        Everyone            Auto & Vehicles        June 8, 2018   \n",
       "77    Everyone 10+            Auto & Vehicles        July 4, 2018   \n",
       "78        Everyone            Auto & Vehicles      March 27, 2018   \n",
       "79        Everyone            Auto & Vehicles       July 15, 2018   \n",
       "80        Everyone            Auto & Vehicles       July 24, 2018   \n",
       "81        Everyone            Auto & Vehicles       July 27, 2018   \n",
       "82        Everyone            Auto & Vehicles       July 30, 2018   \n",
       "83        Everyone            Auto & Vehicles       July 23, 2018   \n",
       "84        Everyone            Auto & Vehicles       July 23, 2018   \n",
       "85        Everyone            Auto & Vehicles      August 4, 2018   \n",
       "86        Everyone            Auto & Vehicles       July 29, 2018   \n",
       "87        Everyone            Auto & Vehicles      April 27, 2018   \n",
       "88        Everyone            Auto & Vehicles      August 3, 2018   \n",
       "89        Everyone            Auto & Vehicles        May 10, 2018   \n",
       "90        Everyone            Auto & Vehicles        May 16, 2018   \n",
       "91        Everyone            Auto & Vehicles       July 31, 2018   \n",
       "92        Everyone            Auto & Vehicles      August 2, 2018   \n",
       "93        Everyone            Auto & Vehicles      August 2, 2018   \n",
       "94        Everyone            Auto & Vehicles       July 23, 2018   \n",
       "95        Everyone            Auto & Vehicles        June 2, 2018   \n",
       "96        Everyone            Auto & Vehicles      March 20, 2018   \n",
       "97        Everyone            Auto & Vehicles      April 21, 2018   \n",
       "98        Everyone                     Beauty      August 2, 2018   \n",
       "99        Everyone                     Beauty    November 9, 2017   \n",
       "100       Everyone                     Beauty        May 15, 2018   \n",
       "101       Everyone                     Beauty       July 12, 2018   \n",
       "\n",
       "            Current Ver         Android Ver  \n",
       "0                 1.0.0        4.0.3 and up  \n",
       "1                 2.0.0        4.0.3 and up  \n",
       "2                 1.2.4        4.0.3 and up  \n",
       "3    Varies with device          4.2 and up  \n",
       "4                   1.1          4.4 and up  \n",
       "5                   1.0          2.3 and up  \n",
       "6                   1.1        4.0.3 and up  \n",
       "7              6.1.61.1          4.2 and up  \n",
       "8                 2.9.2          3.0 and up  \n",
       "9                   2.8        4.0.3 and up  \n",
       "10                1.0.4          4.1 and up  \n",
       "11               1.0.15          4.0 and up  \n",
       "12                  3.8          4.1 and up  \n",
       "13                1.0.4          4.4 and up  \n",
       "14                1.2.3          2.3 and up  \n",
       "16                  3.1          4.1 and up  \n",
       "17                  1.0          2.3 and up  \n",
       "18                2.2.5        4.0.3 and up  \n",
       "19                5.5.4          4.1 and up  \n",
       "20                  4.0          4.1 and up  \n",
       "21                  1.1        4.0.3 and up  \n",
       "22              2.2.6.2        4.0.3 and up  \n",
       "24                1.1.3          4.1 and up  \n",
       "25                  1.5          3.0 and up  \n",
       "26                1.0.8        4.0.3 and up  \n",
       "27                 1.03        4.0.3 and up  \n",
       "28                  6.0          2.3 and up  \n",
       "29                  1.0          2.3 and up  \n",
       "30          6.7.12.2018        4.0.3 and up  \n",
       "31                  1.2          2.3 and up  \n",
       "..                  ...                 ...  \n",
       "72   Varies with device          5.0 and up  \n",
       "73                  2.9        2.3.3 and up  \n",
       "74                 1.79          4.0 and up  \n",
       "75                  1.3          4.0 and up  \n",
       "76              2.3.5.1          4.1 and up  \n",
       "77                  1.6          4.0 and up  \n",
       "78                  1.6          4.1 and up  \n",
       "79                 8.31          4.1 and up  \n",
       "80              1.1.5.0          6.0 and up  \n",
       "81               10.0.2          4.2 and up  \n",
       "82               1.10.3          5.0 and up  \n",
       "83                  1.0        4.0.3 and up  \n",
       "84               3.20.1          4.4 and up  \n",
       "85   Varies with device  Varies with device  \n",
       "86                1.0.3          2.3 and up  \n",
       "87                  1.4        4.0.3 and up  \n",
       "88   Varies with device  Varies with device  \n",
       "89                4.6.5  Varies with device  \n",
       "90                2.8.2          4.1 and up  \n",
       "91                4.0.3        4.0.3 and up  \n",
       "92   Varies with device        4.0.3 and up  \n",
       "93                 1.40        4.0.3 and up  \n",
       "94               1.5.18        4.0.3 and up  \n",
       "95                2.3.4          4.0 and up  \n",
       "96                 1.03        4.0.3 and up  \n",
       "97                 2.17          4.0 and up  \n",
       "98               6.10.1          5.0 and up  \n",
       "99                2.3.0          4.1 and up  \n",
       "100                 4.0          4.1 and up  \n",
       "101               1.0.6        4.0.3 and up  \n",
       "\n",
       "[100 rows x 13 columns]"
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "34 categories\n",
      "['ART_AND_DESIGN' 'AUTO_AND_VEHICLES' 'BEAUTY' 'BOOKS_AND_REFERENCE'\n",
      " 'BUSINESS' 'COMICS' 'COMMUNICATION' 'DATING' 'EDUCATION' 'ENTERTAINMENT'\n",
      " 'EVENTS' 'FINANCE' 'FOOD_AND_DRINK' 'HEALTH_AND_FITNESS' 'HOUSE_AND_HOME'\n",
      " 'LIBRARIES_AND_DEMO' 'LIFESTYLE' 'GAME' 'FAMILY' 'MEDICAL' 'SOCIAL'\n",
      " 'SHOPPING' 'PHOTOGRAPHY' 'SPORTS' 'TRAVEL_AND_LOCAL' 'TOOLS'\n",
      " 'PERSONALIZATION' 'PRODUCTIVITY' 'PARENTING' 'WEATHER' 'VIDEO_PLAYERS'\n",
      " 'NEWS_AND_MAGAZINES' 'MAPS_AND_NAVIGATION' '1.9']\n"
     ]
    }
   ],
   "source": [
    "print(len(data['Category'].unique()), \"categories\")\n",
    "print(data['Category'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Everyone', 'Teen', 'Everyone 10+', 'Mature 17+',\n",
       "       'Adults only 18+', 'Unrated', nan], dtype=object)"
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Content Rating'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Installs'] = df['Installs'].apply(lambda x: x.replace('+', '') if '+' in str(x) else x)\n",
    "df['Installs'] = df['Installs'].apply(lambda x: x.replace(',', '') if ',' in str(x) else x)\n",
    "df['Installs'] = df['Installs'].apply(lambda x: int(x))\n",
    "df['Size'] = df['Size'].apply(lambda x: str(x).replace('Varies with device', 'NaN') if 'Varies with device' in str(x) else x)\n",
    "df['Size'] = df['Size'].apply(lambda x: str(x).replace('M', '') if 'M' in str(x) else x)\n",
    "df['Size'] = df['Size'].apply(lambda x: str(x).replace(',', '') if 'M' in str(x) else x)\n",
    "df['Size'] = df['Size'].apply(lambda x: float(str(x).replace('k', '')) / 1000 if 'k' in str(x) else x)\n",
    "df['Size'] = df['Size'].apply(lambda x: float(x))\n",
    "df['Installs'] = df['Installs'].apply(lambda x: float(x))\n",
    "df['Price'] = df['Price'].apply(lambda x: str(x).replace('$', '') if '$' in str(x) else str(x))\n",
    "df['Price'] = df['Price'].apply(lambda x: float(x))\n",
    "df['Reviews'] = df['Reviews'].apply(lambda x: int(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[df[\"Reviews\"] > 10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 8718 entries, 0 to 10840\n",
      "Data columns (total 13 columns):\n",
      "App               8718 non-null object\n",
      "Category          8718 non-null object\n",
      "Rating            8718 non-null float64\n",
      "Reviews           8718 non-null int64\n",
      "Size              7090 non-null float64\n",
      "Installs          8718 non-null float64\n",
      "Type              8718 non-null object\n",
      "Price             8718 non-null float64\n",
      "Content Rating    8718 non-null object\n",
      "Genres            8718 non-null object\n",
      "Last Updated      8718 non-null object\n",
      "Current Ver       8718 non-null object\n",
      "Android Ver       8718 non-null object\n",
      "dtypes: float64(4), int64(1), object(8)\n",
      "memory usage: 953.5+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "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>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>19.000</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>January 7, 2018</td>\n",
       "      <td>1.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Coloring book moana</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>3.9</td>\n",
       "      <td>967</td>\n",
       "      <td>14.000</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>January 15, 2018</td>\n",
       "      <td>2.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510</td>\n",
       "      <td>8.700</td>\n",
       "      <td>5000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 1, 2018</td>\n",
       "      <td>1.2.4</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sketch - Draw &amp; Paint</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>215644</td>\n",
       "      <td>25.000</td>\n",
       "      <td>50000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>June 8, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967</td>\n",
       "      <td>2.800</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>June 20, 2018</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>5.600</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>19.000</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>29.000</td>\n",
       "      <td>1000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>33.000</td>\n",
       "      <td>1000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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>3.100</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</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",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Text on Photo - Fonteee</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.4</td>\n",
       "      <td>13880</td>\n",
       "      <td>28.000</td>\n",
       "      <td>1000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>October 27, 2017</td>\n",
       "      <td>1.0.4</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Name Art Photo Editor - Focus n Filters</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.4</td>\n",
       "      <td>8788</td>\n",
       "      <td>12.000</td>\n",
       "      <td>1000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>July 31, 2018</td>\n",
       "      <td>1.0.15</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Tattoo Name On My Photo Editor</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.2</td>\n",
       "      <td>44829</td>\n",
       "      <td>20.000</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>April 2, 2018</td>\n",
       "      <td>3.8</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Mandala Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.6</td>\n",
       "      <td>4326</td>\n",
       "      <td>21.000</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>June 26, 2018</td>\n",
       "      <td>1.0.4</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3D Color Pixel by Number - Sandbox Art Coloring</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1518</td>\n",
       "      <td>37.000</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 3, 2018</td>\n",
       "      <td>1.2.3</td>\n",
       "      <td>2.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Photo Designer - Write your name with shapes</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3632</td>\n",
       "      <td>5.500</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>July 31, 2018</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>350 Diy Room Decor Ideas</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>27</td>\n",
       "      <td>17.000</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>November 7, 2017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>FlipaClip - Cartoon animation</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>194216</td>\n",
       "      <td>39.000</td>\n",
       "      <td>5000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 3, 2018</td>\n",
       "      <td>2.2.5</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Logo Maker - Small Business</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>450</td>\n",
       "      <td>14.000</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>April 20, 2018</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Boys Photo Editor - Six Pack &amp; Men's Suit</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>654</td>\n",
       "      <td>12.000</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>March 20, 2018</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Superheroes Wallpapers | 4K Backgrounds</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>7699</td>\n",
       "      <td>4.200</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>July 12, 2018</td>\n",
       "      <td>2.2.6.2</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>HD Mickey Minnie Wallpapers</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>118</td>\n",
       "      <td>23.000</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>July 7, 2018</td>\n",
       "      <td>1.1.3</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Harley Quinn wallpapers HD</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.8</td>\n",
       "      <td>192</td>\n",
       "      <td>6.000</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>April 25, 2018</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Colorfit - Drawing &amp; Coloring</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>20260</td>\n",
       "      <td>25.000</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>October 11, 2017</td>\n",
       "      <td>1.0.8</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Animated Photo Editor</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>203</td>\n",
       "      <td>6.100</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>March 21, 2018</td>\n",
       "      <td>1.03</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Pencil Sketch Drawing</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>3.9</td>\n",
       "      <td>136</td>\n",
       "      <td>4.600</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>July 12, 2018</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Easy Realistic Drawing Tutorial</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>223</td>\n",
       "      <td>4.200</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 22, 2017</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Pink Silver Bow Keyboard Theme</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1120</td>\n",
       "      <td>9.200</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>July 12, 2018</td>\n",
       "      <td>6.7.12.2018</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Art Drawing Ideas</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>227</td>\n",
       "      <td>5.200</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>May 31, 2018</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Anime Manga Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>5035</td>\n",
       "      <td>11.000</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>July 19, 2018</td>\n",
       "      <td>2.20</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10791</th>\n",
       "      <td>Winter Wonderland</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1287</td>\n",
       "      <td>38.000</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Word</td>\n",
       "      <td>December 18, 2013</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10792</th>\n",
       "      <td>Soccer Clubs Logo Quiz</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.2</td>\n",
       "      <td>21661</td>\n",
       "      <td>16.000</td>\n",
       "      <td>1000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Trivia</td>\n",
       "      <td>May 24, 2018</td>\n",
       "      <td>1.3.81</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10793</th>\n",
       "      <td>Sid Story</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.4</td>\n",
       "      <td>28510</td>\n",
       "      <td>78.000</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Card</td>\n",
       "      <td>August 1, 2018</td>\n",
       "      <td>2.6.6</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10795</th>\n",
       "      <td>Reindeer VPN - Proxy VPN</td>\n",
       "      <td>TOOLS</td>\n",
       "      <td>4.2</td>\n",
       "      <td>7339</td>\n",
       "      <td>4.000</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Tools</td>\n",
       "      <td>May 10, 2018</td>\n",
       "      <td>1.74</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10796</th>\n",
       "      <td>Inf VPN - Global Proxy &amp; Unlimited Free WIFI VPN</td>\n",
       "      <td>TOOLS</td>\n",
       "      <td>4.7</td>\n",
       "      <td>61445</td>\n",
       "      <td>7.800</td>\n",
       "      <td>1000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Tools</td>\n",
       "      <td>July 26, 2018</td>\n",
       "      <td>1.9.734</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10797</th>\n",
       "      <td>Fuel Rewards® program</td>\n",
       "      <td>LIFESTYLE</td>\n",
       "      <td>4.6</td>\n",
       "      <td>32433</td>\n",
       "      <td>46.000</td>\n",
       "      <td>1000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Lifestyle</td>\n",
       "      <td>June 26, 2018</td>\n",
       "      <td>2.9.1</td>\n",
       "      <td>5.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10799</th>\n",
       "      <td>Fr Daoud Lamei</td>\n",
       "      <td>SOCIAL</td>\n",
       "      <td>4.7</td>\n",
       "      <td>2036</td>\n",
       "      <td>6.800</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Social</td>\n",
       "      <td>May 20, 2018</td>\n",
       "      <td>1.72</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10800</th>\n",
       "      <td>FR Roster</td>\n",
       "      <td>TOOLS</td>\n",
       "      <td>4.1</td>\n",
       "      <td>174</td>\n",
       "      <td>12.000</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Tools</td>\n",
       "      <td>July 30, 2018</td>\n",
       "      <td>6.04</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10801</th>\n",
       "      <td>Fr Ignacio Outreach</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.9</td>\n",
       "      <td>52</td>\n",
       "      <td>19.000</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Education</td>\n",
       "      <td>January 19, 2018</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10802</th>\n",
       "      <td>FR: My Famous Lover</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.0</td>\n",
       "      <td>185</td>\n",
       "      <td>28.000</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Entertainment</td>\n",
       "      <td>August 6, 2015</td>\n",
       "      <td>1.3.0</td>\n",
       "      <td>3.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10803</th>\n",
       "      <td>Fatal Raid - No.1 Mobile FPS</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.3</td>\n",
       "      <td>56496</td>\n",
       "      <td>81.000</td>\n",
       "      <td>1000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Action</td>\n",
       "      <td>August 7, 2018</td>\n",
       "      <td>1.5.447</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10804</th>\n",
       "      <td>Poker Pro.Fr</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.2</td>\n",
       "      <td>5442</td>\n",
       "      <td>17.000</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Card</td>\n",
       "      <td>May 22, 2018</td>\n",
       "      <td>4.1.3</td>\n",
       "      <td>2.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10809</th>\n",
       "      <td>Castle Clash: RPG War and Strategy FR</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.7</td>\n",
       "      <td>376223</td>\n",
       "      <td>24.000</td>\n",
       "      <td>1000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Strategy</td>\n",
       "      <td>July 18, 2018</td>\n",
       "      <td>1.4.2</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10810</th>\n",
       "      <td>Fr Lupupa Sermons</td>\n",
       "      <td>BUSINESS</td>\n",
       "      <td>4.8</td>\n",
       "      <td>19</td>\n",
       "      <td>21.000</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Business</td>\n",
       "      <td>June 12, 2018</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10812</th>\n",
       "      <td>Fr Agnel Pune</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.1</td>\n",
       "      <td>80</td>\n",
       "      <td>13.000</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Education</td>\n",
       "      <td>June 13, 2018</td>\n",
       "      <td>2.0.20</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10814</th>\n",
       "      <td>FR: My Secret Pets!</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.0</td>\n",
       "      <td>785</td>\n",
       "      <td>31.000</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Entertainment</td>\n",
       "      <td>June 3, 2015</td>\n",
       "      <td>1.3.1</td>\n",
       "      <td>3.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10815</th>\n",
       "      <td>Golden Dictionary (FR-AR)</td>\n",
       "      <td>BOOKS_AND_REFERENCE</td>\n",
       "      <td>4.2</td>\n",
       "      <td>5775</td>\n",
       "      <td>4.900</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Books &amp; Reference</td>\n",
       "      <td>July 19, 2018</td>\n",
       "      <td>7.0.4.6</td>\n",
       "      <td>4.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10817</th>\n",
       "      <td>HTC Sense Input - FR</td>\n",
       "      <td>TOOLS</td>\n",
       "      <td>4.0</td>\n",
       "      <td>885</td>\n",
       "      <td>8.000</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Tools</td>\n",
       "      <td>October 30, 2015</td>\n",
       "      <td>1.0.612928</td>\n",
       "      <td>5.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10819</th>\n",
       "      <td>Fanfic-FR</td>\n",
       "      <td>BOOKS_AND_REFERENCE</td>\n",
       "      <td>3.3</td>\n",
       "      <td>52</td>\n",
       "      <td>3.600</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Books &amp; Reference</td>\n",
       "      <td>August 5, 2017</td>\n",
       "      <td>0.3.4</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10820</th>\n",
       "      <td>Fr. Daoud Lamei</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>5.0</td>\n",
       "      <td>22</td>\n",
       "      <td>8.600</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Education</td>\n",
       "      <td>June 27, 2018</td>\n",
       "      <td>3.8.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10826</th>\n",
       "      <td>Frim: get new friends on local chat rooms</td>\n",
       "      <td>SOCIAL</td>\n",
       "      <td>4.0</td>\n",
       "      <td>88486</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Mature 17+</td>\n",
       "      <td>Social</td>\n",
       "      <td>March 23, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>Varies with device</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10827</th>\n",
       "      <td>Fr Agnel Ambarnath</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.2</td>\n",
       "      <td>117</td>\n",
       "      <td>13.000</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Education</td>\n",
       "      <td>June 13, 2018</td>\n",
       "      <td>2.0.20</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10828</th>\n",
       "      <td>Manga-FR - Anime Vostfr</td>\n",
       "      <td>COMICS</td>\n",
       "      <td>3.4</td>\n",
       "      <td>291</td>\n",
       "      <td>13.000</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Comics</td>\n",
       "      <td>May 15, 2017</td>\n",
       "      <td>2.0.1</td>\n",
       "      <td>4.0 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10829</th>\n",
       "      <td>Bulgarian French Dictionary Fr</td>\n",
       "      <td>BOOKS_AND_REFERENCE</td>\n",
       "      <td>4.6</td>\n",
       "      <td>603</td>\n",
       "      <td>7.400</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Books &amp; Reference</td>\n",
       "      <td>June 19, 2016</td>\n",
       "      <td>2.96</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10830</th>\n",
       "      <td>News Minecraft.fr</td>\n",
       "      <td>NEWS_AND_MAGAZINES</td>\n",
       "      <td>3.8</td>\n",
       "      <td>881</td>\n",
       "      <td>2.300</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>News &amp; Magazines</td>\n",
       "      <td>January 20, 2014</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.6 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10832</th>\n",
       "      <td>FR Tides</td>\n",
       "      <td>WEATHER</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1195</td>\n",
       "      <td>0.582</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Weather</td>\n",
       "      <td>February 16, 2014</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10833</th>\n",
       "      <td>Chemin (fr)</td>\n",
       "      <td>BOOKS_AND_REFERENCE</td>\n",
       "      <td>4.8</td>\n",
       "      <td>44</td>\n",
       "      <td>0.619</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Books &amp; Reference</td>\n",
       "      <td>March 23, 2014</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10836</th>\n",
       "      <td>Sya9a Maroc - FR</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.5</td>\n",
       "      <td>38</td>\n",
       "      <td>53.000</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Education</td>\n",
       "      <td>July 25, 2017</td>\n",
       "      <td>1.48</td>\n",
       "      <td>4.1 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10839</th>\n",
       "      <td>The SCP Foundation DB fr nn5n</td>\n",
       "      <td>BOOKS_AND_REFERENCE</td>\n",
       "      <td>4.5</td>\n",
       "      <td>114</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Mature 17+</td>\n",
       "      <td>Books &amp; Reference</td>\n",
       "      <td>January 19, 2015</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>Varies with device</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10840</th>\n",
       "      <td>iHoroscope - 2018 Daily Horoscope &amp; Astrology</td>\n",
       "      <td>LIFESTYLE</td>\n",
       "      <td>4.5</td>\n",
       "      <td>398307</td>\n",
       "      <td>19.000</td>\n",
       "      <td>10000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Lifestyle</td>\n",
       "      <td>July 25, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>Varies with device</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8717 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                     App             Category  \\\n",
       "0         Photo Editor & Candy Camera & Grid & ScrapBook       ART_AND_DESIGN   \n",
       "1                                    Coloring book moana       ART_AND_DESIGN   \n",
       "2      U Launcher Lite – FREE Live Cool Themes, Hide ...       ART_AND_DESIGN   \n",
       "3                                  Sketch - Draw & Paint       ART_AND_DESIGN   \n",
       "4                  Pixel Draw - Number Art Coloring Book       ART_AND_DESIGN   \n",
       "5                             Paper flowers instructions       ART_AND_DESIGN   \n",
       "6                Smoke Effect Photo Maker - Smoke Editor       ART_AND_DESIGN   \n",
       "7                                       Infinite Painter       ART_AND_DESIGN   \n",
       "8                                   Garden Coloring Book       ART_AND_DESIGN   \n",
       "9                          Kids Paint Free - Drawing Fun       ART_AND_DESIGN   \n",
       "10                               Text on Photo - Fonteee       ART_AND_DESIGN   \n",
       "11               Name Art Photo Editor - Focus n Filters       ART_AND_DESIGN   \n",
       "12                        Tattoo Name On My Photo Editor       ART_AND_DESIGN   \n",
       "13                                 Mandala Coloring Book       ART_AND_DESIGN   \n",
       "14       3D Color Pixel by Number - Sandbox Art Coloring       ART_AND_DESIGN   \n",
       "16          Photo Designer - Write your name with shapes       ART_AND_DESIGN   \n",
       "17                              350 Diy Room Decor Ideas       ART_AND_DESIGN   \n",
       "18                         FlipaClip - Cartoon animation       ART_AND_DESIGN   \n",
       "20                           Logo Maker - Small Business       ART_AND_DESIGN   \n",
       "21             Boys Photo Editor - Six Pack & Men's Suit       ART_AND_DESIGN   \n",
       "22               Superheroes Wallpapers | 4K Backgrounds       ART_AND_DESIGN   \n",
       "24                           HD Mickey Minnie Wallpapers       ART_AND_DESIGN   \n",
       "25                            Harley Quinn wallpapers HD       ART_AND_DESIGN   \n",
       "26                         Colorfit - Drawing & Coloring       ART_AND_DESIGN   \n",
       "27                                 Animated Photo Editor       ART_AND_DESIGN   \n",
       "28                                 Pencil Sketch Drawing       ART_AND_DESIGN   \n",
       "29                       Easy Realistic Drawing Tutorial       ART_AND_DESIGN   \n",
       "30                        Pink Silver Bow Keyboard Theme       ART_AND_DESIGN   \n",
       "31                                     Art Drawing Ideas       ART_AND_DESIGN   \n",
       "32                             Anime Manga Coloring Book       ART_AND_DESIGN   \n",
       "...                                                  ...                  ...   \n",
       "10791                                  Winter Wonderland                 GAME   \n",
       "10792                             Soccer Clubs Logo Quiz                 GAME   \n",
       "10793                                          Sid Story                 GAME   \n",
       "10795                           Reindeer VPN - Proxy VPN                TOOLS   \n",
       "10796   Inf VPN - Global Proxy & Unlimited Free WIFI VPN                TOOLS   \n",
       "10797                              Fuel Rewards® program            LIFESTYLE   \n",
       "10799                                     Fr Daoud Lamei               SOCIAL   \n",
       "10800                                          FR Roster                TOOLS   \n",
       "10801                                Fr Ignacio Outreach               FAMILY   \n",
       "10802                                FR: My Famous Lover               FAMILY   \n",
       "10803                       Fatal Raid - No.1 Mobile FPS                 GAME   \n",
       "10804                                       Poker Pro.Fr                 GAME   \n",
       "10809              Castle Clash: RPG War and Strategy FR               FAMILY   \n",
       "10810                                  Fr Lupupa Sermons             BUSINESS   \n",
       "10812                                      Fr Agnel Pune               FAMILY   \n",
       "10814                               FR: My Secret Pets!                FAMILY   \n",
       "10815                          Golden Dictionary (FR-AR)  BOOKS_AND_REFERENCE   \n",
       "10817                               HTC Sense Input - FR                TOOLS   \n",
       "10819                                          Fanfic-FR  BOOKS_AND_REFERENCE   \n",
       "10820                                    Fr. Daoud Lamei               FAMILY   \n",
       "10826          Frim: get new friends on local chat rooms               SOCIAL   \n",
       "10827                                 Fr Agnel Ambarnath               FAMILY   \n",
       "10828                            Manga-FR - Anime Vostfr               COMICS   \n",
       "10829                     Bulgarian French Dictionary Fr  BOOKS_AND_REFERENCE   \n",
       "10830                                  News Minecraft.fr   NEWS_AND_MAGAZINES   \n",
       "10832                                           FR Tides              WEATHER   \n",
       "10833                                        Chemin (fr)  BOOKS_AND_REFERENCE   \n",
       "10836                                   Sya9a Maroc - FR               FAMILY   \n",
       "10839                      The SCP Foundation DB fr nn5n  BOOKS_AND_REFERENCE   \n",
       "10840      iHoroscope - 2018 Daily Horoscope & Astrology            LIFESTYLE   \n",
       "\n",
       "       Rating  Reviews    Size    Installs  Type  Price Content Rating  \\\n",
       "0         4.1      159  19.000     10000.0  Free    0.0       Everyone   \n",
       "1         3.9      967  14.000    500000.0  Free    0.0       Everyone   \n",
       "2         4.7    87510   8.700   5000000.0  Free    0.0       Everyone   \n",
       "3         4.5   215644  25.000  50000000.0  Free    0.0           Teen   \n",
       "4         4.3      967   2.800    100000.0  Free    0.0       Everyone   \n",
       "5         4.4      167   5.600     50000.0  Free    0.0       Everyone   \n",
       "6         3.8      178  19.000     50000.0  Free    0.0       Everyone   \n",
       "7         4.1    36815  29.000   1000000.0  Free    0.0       Everyone   \n",
       "8         4.4    13791  33.000   1000000.0  Free    0.0       Everyone   \n",
       "9         4.7      121   3.100     10000.0  Free    0.0       Everyone   \n",
       "10        4.4    13880  28.000   1000000.0  Free    0.0       Everyone   \n",
       "11        4.4     8788  12.000   1000000.0  Free    0.0       Everyone   \n",
       "12        4.2    44829  20.000  10000000.0  Free    0.0           Teen   \n",
       "13        4.6     4326  21.000    100000.0  Free    0.0       Everyone   \n",
       "14        4.4     1518  37.000    100000.0  Free    0.0       Everyone   \n",
       "16        4.7     3632   5.500    500000.0  Free    0.0       Everyone   \n",
       "17        4.5       27  17.000     10000.0  Free    0.0       Everyone   \n",
       "18        4.3   194216  39.000   5000000.0  Free    0.0       Everyone   \n",
       "20        4.0      450  14.000    100000.0  Free    0.0       Everyone   \n",
       "21        4.1      654  12.000    100000.0  Free    0.0       Everyone   \n",
       "22        4.7     7699   4.200    500000.0  Free    0.0   Everyone 10+   \n",
       "24        4.7      118  23.000     50000.0  Free    0.0       Everyone   \n",
       "25        4.8      192   6.000     10000.0  Free    0.0       Everyone   \n",
       "26        4.7    20260  25.000    500000.0  Free    0.0       Everyone   \n",
       "27        4.1      203   6.100    100000.0  Free    0.0       Everyone   \n",
       "28        3.9      136   4.600     10000.0  Free    0.0       Everyone   \n",
       "29        4.1      223   4.200    100000.0  Free    0.0       Everyone   \n",
       "30        4.2     1120   9.200    100000.0  Free    0.0       Everyone   \n",
       "31        4.1      227   5.200     50000.0  Free    0.0       Everyone   \n",
       "32        4.5     5035  11.000    100000.0  Free    0.0       Everyone   \n",
       "...       ...      ...     ...         ...   ...    ...            ...   \n",
       "10791     4.0     1287  38.000     50000.0  Free    0.0       Everyone   \n",
       "10792     4.2    21661  16.000   1000000.0  Free    0.0       Everyone   \n",
       "10793     4.4    28510  78.000    500000.0  Free    0.0           Teen   \n",
       "10795     4.2     7339   4.000    100000.0  Free    0.0       Everyone   \n",
       "10796     4.7    61445   7.800   1000000.0  Free    0.0       Everyone   \n",
       "10797     4.6    32433  46.000   1000000.0  Free    0.0       Everyone   \n",
       "10799     4.7     2036   6.800    100000.0  Free    0.0       Everyone   \n",
       "10800     4.1      174  12.000      5000.0  Free    0.0       Everyone   \n",
       "10801     4.9       52  19.000      1000.0  Free    0.0       Everyone   \n",
       "10802     4.0      185  28.000     10000.0  Free    0.0           Teen   \n",
       "10803     4.3    56496  81.000   1000000.0  Free    0.0           Teen   \n",
       "10804     4.2     5442  17.000    100000.0  Free    0.0           Teen   \n",
       "10809     4.7   376223  24.000   1000000.0  Free    0.0       Everyone   \n",
       "10810     4.8       19  21.000       100.0  Free    0.0       Everyone   \n",
       "10812     4.1       80  13.000      1000.0  Free    0.0       Everyone   \n",
       "10814     4.0      785  31.000     50000.0  Free    0.0           Teen   \n",
       "10815     4.2     5775   4.900    500000.0  Free    0.0       Everyone   \n",
       "10817     4.0      885   8.000    100000.0  Free    0.0       Everyone   \n",
       "10819     3.3       52   3.600      5000.0  Free    0.0           Teen   \n",
       "10820     5.0       22   8.600      1000.0  Free    0.0           Teen   \n",
       "10826     4.0    88486     NaN   5000000.0  Free    0.0     Mature 17+   \n",
       "10827     4.2      117  13.000      5000.0  Free    0.0       Everyone   \n",
       "10828     3.4      291  13.000     10000.0  Free    0.0       Everyone   \n",
       "10829     4.6      603   7.400     10000.0  Free    0.0       Everyone   \n",
       "10830     3.8      881   2.300    100000.0  Free    0.0       Everyone   \n",
       "10832     3.8     1195   0.582    100000.0  Free    0.0       Everyone   \n",
       "10833     4.8       44   0.619      1000.0  Free    0.0       Everyone   \n",
       "10836     4.5       38  53.000      5000.0  Free    0.0       Everyone   \n",
       "10839     4.5      114     NaN      1000.0  Free    0.0     Mature 17+   \n",
       "10840     4.5   398307  19.000  10000000.0  Free    0.0       Everyone   \n",
       "\n",
       "                          Genres        Last Updated         Current Ver  \\\n",
       "0                   Art & Design     January 7, 2018               1.0.0   \n",
       "1      Art & Design;Pretend Play    January 15, 2018               2.0.0   \n",
       "2                   Art & Design      August 1, 2018               1.2.4   \n",
       "3                   Art & Design        June 8, 2018  Varies with device   \n",
       "4        Art & Design;Creativity       June 20, 2018                 1.1   \n",
       "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",
       "10                  Art & Design    October 27, 2017               1.0.4   \n",
       "11                  Art & Design       July 31, 2018              1.0.15   \n",
       "12                  Art & Design       April 2, 2018                 3.8   \n",
       "13                  Art & Design       June 26, 2018               1.0.4   \n",
       "14                  Art & Design      August 3, 2018               1.2.3   \n",
       "16                  Art & Design       July 31, 2018                 3.1   \n",
       "17                  Art & Design    November 7, 2017                 1.0   \n",
       "18                  Art & Design      August 3, 2018               2.2.5   \n",
       "20                  Art & Design      April 20, 2018                 4.0   \n",
       "21                  Art & Design      March 20, 2018                 1.1   \n",
       "22                  Art & Design       July 12, 2018             2.2.6.2   \n",
       "24                  Art & Design        July 7, 2018               1.1.3   \n",
       "25                  Art & Design      April 25, 2018                 1.5   \n",
       "26       Art & Design;Creativity    October 11, 2017               1.0.8   \n",
       "27                  Art & Design      March 21, 2018                1.03   \n",
       "28                  Art & Design       July 12, 2018                 6.0   \n",
       "29                  Art & Design     August 22, 2017                 1.0   \n",
       "30                  Art & Design       July 12, 2018         6.7.12.2018   \n",
       "31                  Art & Design        May 31, 2018                 1.2   \n",
       "32                  Art & Design       July 19, 2018                2.20   \n",
       "...                          ...                 ...                 ...   \n",
       "10791                       Word   December 18, 2013                 1.0   \n",
       "10792                     Trivia        May 24, 2018              1.3.81   \n",
       "10793                       Card      August 1, 2018               2.6.6   \n",
       "10795                      Tools        May 10, 2018                1.74   \n",
       "10796                      Tools       July 26, 2018             1.9.734   \n",
       "10797                  Lifestyle       June 26, 2018               2.9.1   \n",
       "10799                     Social        May 20, 2018                1.72   \n",
       "10800                      Tools       July 30, 2018                6.04   \n",
       "10801                  Education    January 19, 2018                 1.0   \n",
       "10802              Entertainment      August 6, 2015               1.3.0   \n",
       "10803                     Action      August 7, 2018             1.5.447   \n",
       "10804                       Card        May 22, 2018               4.1.3   \n",
       "10809                   Strategy       July 18, 2018               1.4.2   \n",
       "10810                   Business       June 12, 2018                 1.0   \n",
       "10812                  Education       June 13, 2018              2.0.20   \n",
       "10814              Entertainment        June 3, 2015               1.3.1   \n",
       "10815          Books & Reference       July 19, 2018             7.0.4.6   \n",
       "10817                      Tools    October 30, 2015          1.0.612928   \n",
       "10819          Books & Reference      August 5, 2017               0.3.4   \n",
       "10820                  Education       June 27, 2018               3.8.0   \n",
       "10826                     Social      March 23, 2018  Varies with device   \n",
       "10827                  Education       June 13, 2018              2.0.20   \n",
       "10828                     Comics        May 15, 2017               2.0.1   \n",
       "10829          Books & Reference       June 19, 2016                2.96   \n",
       "10830           News & Magazines    January 20, 2014                 1.5   \n",
       "10832                    Weather   February 16, 2014                 6.0   \n",
       "10833          Books & Reference      March 23, 2014                 0.8   \n",
       "10836                  Education       July 25, 2017                1.48   \n",
       "10839          Books & Reference    January 19, 2015  Varies with device   \n",
       "10840                  Lifestyle       July 25, 2018  Varies with device   \n",
       "\n",
       "              Android Ver  \n",
       "0            4.0.3 and up  \n",
       "1            4.0.3 and up  \n",
       "2            4.0.3 and up  \n",
       "3              4.2 and up  \n",
       "4              4.4 and up  \n",
       "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  \n",
       "10             4.1 and up  \n",
       "11             4.0 and up  \n",
       "12             4.1 and up  \n",
       "13             4.4 and up  \n",
       "14             2.3 and up  \n",
       "16             4.1 and up  \n",
       "17             2.3 and up  \n",
       "18           4.0.3 and up  \n",
       "20             4.1 and up  \n",
       "21           4.0.3 and up  \n",
       "22           4.0.3 and up  \n",
       "24             4.1 and up  \n",
       "25             3.0 and up  \n",
       "26           4.0.3 and up  \n",
       "27           4.0.3 and up  \n",
       "28             2.3 and up  \n",
       "29             2.3 and up  \n",
       "30           4.0.3 and up  \n",
       "31             2.3 and up  \n",
       "32             4.0 and up  \n",
       "...                   ...  \n",
       "10791          2.2 and up  \n",
       "10792          4.0 and up  \n",
       "10793        4.0.3 and up  \n",
       "10795          4.1 and up  \n",
       "10796          4.1 and up  \n",
       "10797          5.0 and up  \n",
       "10799        4.0.3 and up  \n",
       "10800          4.4 and up  \n",
       "10801          4.4 and up  \n",
       "10802          3.0 and up  \n",
       "10803          4.0 and up  \n",
       "10804          2.3 and up  \n",
       "10809          4.1 and up  \n",
       "10810          4.4 and up  \n",
       "10812        4.0.3 and up  \n",
       "10814          3.0 and up  \n",
       "10815          4.2 and up  \n",
       "10817          5.0 and up  \n",
       "10819          4.1 and up  \n",
       "10820          4.1 and up  \n",
       "10826  Varies with device  \n",
       "10827        4.0.3 and up  \n",
       "10828          4.0 and up  \n",
       "10829          4.1 and up  \n",
       "10830          1.6 and up  \n",
       "10832          2.1 and up  \n",
       "10833          2.2 and up  \n",
       "10836          4.1 and up  \n",
       "10839  Varies with device  \n",
       "10840  Varies with device  \n",
       "\n",
       "[8717 rows x 13 columns]"
      ]
     },
     "execution_count": 215,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.drop(19, axis = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x22d39eb3908>"
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(y = \"Category\", data = df, palette = \"Set1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.191041523285157"
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(df.Rating)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Art & Design\n",
       "1    Art & Design\n",
       "2    Art & Design\n",
       "3    Art & Design\n",
       "4    Art & Design\n",
       "Name: Pri_Genres, dtype: object"
      ]
     },
     "execution_count": 218,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sep = ';'\n",
    "rest = df.Genres.apply(lambda x: x.split(sep)[0])\n",
    "df['Pri_Genres']=rest\n",
    "df.Pri_Genres.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Art & Design\n",
       "1    Pretend Play\n",
       "2    Art & Design\n",
       "3    Art & Design\n",
       "4      Creativity\n",
       "Name: Sec_Genres, dtype: object"
      ]
     },
     "execution_count": 219,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rest = df.Genres.apply(lambda x: x.split(sep)[-1])\n",
    "rest.unique()\n",
    "df['Sec_Genres']=rest\n",
    "df.Sec_Genres.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "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>...</th>\n",
       "      <th>Entertainment</th>\n",
       "      <th>Action</th>\n",
       "      <th>Card</th>\n",
       "      <th>Strategy</th>\n",
       "      <th>Business</th>\n",
       "      <th>Books &amp; Reference</th>\n",
       "      <th>News &amp; Magazines</th>\n",
       "      <th>Weather</th>\n",
       "      <th>Pretend Play</th>\n",
       "      <th>Creativity</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>19.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>14.0</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510</td>\n",
       "      <td>8.7</td>\n",
       "      <td>5000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>25.0</td>\n",
       "      <td>50000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967</td>\n",
       "      <td>2.8</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 52 columns</p>\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  19.0     10000.0  Free    0.0       Everyone   \n",
       "1      967  14.0    500000.0  Free    0.0       Everyone   \n",
       "2    87510   8.7   5000000.0  Free    0.0       Everyone   \n",
       "3   215644  25.0  50000000.0  Free    0.0           Teen   \n",
       "4      967   2.8    100000.0  Free    0.0       Everyone   \n",
       "\n",
       "                      Genres  ... Entertainment Action Card Strategy Business  \\\n",
       "0               Art & Design  ...             0      0    0        0        0   \n",
       "1  Art & Design;Pretend Play  ...             0      0    0        0        0   \n",
       "2               Art & Design  ...             0      0    0        0        0   \n",
       "3               Art & Design  ...             0      0    0        0        0   \n",
       "4    Art & Design;Creativity  ...             0      0    0        0        0   \n",
       "\n",
       "   Books & Reference  News & Magazines  Weather  Pretend Play  Creativity  \n",
       "0                  0                 0        0             0           0  \n",
       "1                  0                 0        0             1           0  \n",
       "2                  0                 0        0             0           0  \n",
       "3                  0                 0        0             0           0  \n",
       "4                  0                 0        0             0           1  \n",
       "\n",
       "[5 rows x 52 columns]"
      ]
     },
     "execution_count": 220,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Art & Design\"]=[1 if i==\"Art & Design\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Tools\"]=[1 if i==\"Tolls\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Role Playing\"]=[1 if i==\"Role Playing\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Medical\"]=[1 if i==\"Medical\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Casual\"]=[1 if i==\"Casual\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Travel & Local\"]=[1 if i==\"Travel & Local\" else 0 for i in df.Pri_Genres]\n",
    "df[\"House & Home\"]=[1 if i==\"House & Home\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Board\"]=[1 if i==\"Board\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Simulation\"]=[1 if i==\"Simulation\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Photography\"]=[1 if i==\"Photography\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Food & Drink\"]=[1 if i==\"Food & Drink\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Finance\"]=[1 if i==\"Finance\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Video Players & Editors\"]=[1 if i==\"Video Players & Editors\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Maps & Navigation\"]=[1 if i==\"Maps & Navigation\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Trivia\"]=[1 if i==\"Trivia\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Libraries & Demo\"]=[1 if i==\"Libraries & Demo\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Arcade\"]=[1 if i==\"Arcade\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Travel & Local\"]=[1 if i==\"Travel & Local\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Maps & Navigation\"]=[1 if i==\"Maps & Navigation\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Health & Fitness\"]=[1 if i==\"Health & Fitness\" else 0 for i in df.Pri_Genres]\n",
    "df[\"Lifestyle\"]=[1 if i==\"Lifestyle\" else 0 for i in df.Genres]\n",
    "df[\"Auto & Vehicles\"]=[1 if i==\"Auto & Vehicles\" else 0 for i in df.Genres]\n",
    "df[\"Dating\"]=[1 if i==\"Dating\" else 0 for i in df.Genres]\n",
    "df[\"Comics\"]=[1 if i==\"Comics\" else 0 for i in df.Genres]\n",
    "df[\"Puzzle\"]=[1 if i==\"Puzzle\" else 0 for i in df.Genres]\n",
    "df[\"Music & Video\"]=[1 if i==\"Music & Video\" else 0 for i in df.Sec_Genres]\n",
    "df[\"Beauty\"]=[1 if i==\"Beauty\" else 0 for i in df.Genres]\n",
    "df[\"Social\"]=[1 if i==\"Social\" else 0 for i in df.Genres]\n",
    "df[\"Education\"]=[1 if i==\"Education\" else 0 for i in df.Genres]\n",
    "df[\"Entertainment\"]=[1 if i==\"Entertainment\" else 0 for i in df.Genres]\n",
    "df[\"Action\"]=[1 if i==\"Action\" else 0 for i in df.Genres]\n",
    "df[\"Card\"]=[1 if i==\"Card\" else 0 for i in df.Genres]\n",
    "df[\"Strategy\"]=[1 if i==\"Strategy\" else 0 for i in df.Genres]\n",
    "df[\"Business\"]=[1 if i==\"Business\" else 0 for i in df.Genres]\n",
    "df[\"Books & Reference\"]=[1 if i==\"Books & Reference\" else 0 for i in df.Genres]\n",
    "df[\"News & Magazines\"]=[1 if i==\"News & Magazines\" else 0 for i in df.Genres]\n",
    "df[\"Weather\"]=[1 if i==\"Weather\" else 0 for i in df.Genres]\n",
    "df[\"Pretend Play\"]=[1 if i==\"Pretend Play\" else 0 for i in df.Sec_Genres]\n",
    "df[\"Creativity\"]=[1 if i==\"Creativity\" else 0 for i in df.Sec_Genres]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7090, 52)"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#for rating in df.Rating:\n",
    "#    if(rating > 5):\n",
    "#        print(rating)\n",
    "\n",
    "df=df.dropna()\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().values.any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [],
   "source": [
    "#sns.pairplot(df, kind = \"reg\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [],
   "source": [
    "#sns.pairplot(df, kind = \"scatter\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "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>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Price</th>\n",
       "      <th>Art &amp; Design</th>\n",
       "      <th>Tools</th>\n",
       "      <th>Role Playing</th>\n",
       "      <th>Medical</th>\n",
       "      <th>Casual</th>\n",
       "      <th>...</th>\n",
       "      <th>Entertainment</th>\n",
       "      <th>Action</th>\n",
       "      <th>Card</th>\n",
       "      <th>Strategy</th>\n",
       "      <th>Business</th>\n",
       "      <th>Books &amp; Reference</th>\n",
       "      <th>News &amp; Magazines</th>\n",
       "      <th>Weather</th>\n",
       "      <th>Pretend Play</th>\n",
       "      <th>Creativity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Rating</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.093150</td>\n",
       "      <td>0.099408</td>\n",
       "      <td>0.061916</td>\n",
       "      <td>-0.026328</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0.031954</td>\n",
       "      <td>-0.004450</td>\n",
       "      <td>-0.002186</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.048532</td>\n",
       "      <td>0.039638</td>\n",
       "      <td>-0.005248</td>\n",
       "      <td>0.018805</td>\n",
       "      <td>-0.025868</td>\n",
       "      <td>0.039673</td>\n",
       "      <td>-0.015795</td>\n",
       "      <td>0.012139</td>\n",
       "      <td>0.016025</td>\n",
       "      <td>0.027650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reviews</th>\n",
       "      <td>0.093150</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.241223</td>\n",
       "      <td>0.625301</td>\n",
       "      <td>-0.010510</td>\n",
       "      <td>-0.014268</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.007145</td>\n",
       "      <td>-0.031706</td>\n",
       "      <td>0.112902</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.030358</td>\n",
       "      <td>0.053233</td>\n",
       "      <td>-0.008175</td>\n",
       "      <td>0.184597</td>\n",
       "      <td>-0.025473</td>\n",
       "      <td>-0.020593</td>\n",
       "      <td>-0.020020</td>\n",
       "      <td>-0.010725</td>\n",
       "      <td>-0.012275</td>\n",
       "      <td>-0.008927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Size</th>\n",
       "      <td>0.099408</td>\n",
       "      <td>0.241223</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.161050</td>\n",
       "      <td>-0.027420</td>\n",
       "      <td>-0.040344</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.143820</td>\n",
       "      <td>-0.033053</td>\n",
       "      <td>0.098152</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.072164</td>\n",
       "      <td>0.247037</td>\n",
       "      <td>0.028063</td>\n",
       "      <td>0.141866</td>\n",
       "      <td>-0.061601</td>\n",
       "      <td>-0.049764</td>\n",
       "      <td>-0.064758</td>\n",
       "      <td>-0.037165</td>\n",
       "      <td>0.105508</td>\n",
       "      <td>0.033136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Installs</th>\n",
       "      <td>0.061916</td>\n",
       "      <td>0.625301</td>\n",
       "      <td>0.161050</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.011201</td>\n",
       "      <td>-0.013102</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.013051</td>\n",
       "      <td>-0.033579</td>\n",
       "      <td>0.092154</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.021768</td>\n",
       "      <td>0.058954</td>\n",
       "      <td>-0.008960</td>\n",
       "      <td>0.023512</td>\n",
       "      <td>-0.021172</td>\n",
       "      <td>-0.021386</td>\n",
       "      <td>0.051542</td>\n",
       "      <td>-0.010493</td>\n",
       "      <td>-0.007455</td>\n",
       "      <td>-0.007875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <td>-0.026328</td>\n",
       "      <td>-0.010510</td>\n",
       "      <td>-0.027420</td>\n",
       "      <td>-0.011201</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.005335</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.003725</td>\n",
       "      <td>0.026393</td>\n",
       "      <td>-0.009759</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026090</td>\n",
       "      <td>-0.010722</td>\n",
       "      <td>-0.003357</td>\n",
       "      <td>-0.004409</td>\n",
       "      <td>-0.008480</td>\n",
       "      <td>-0.007677</td>\n",
       "      <td>-0.009416</td>\n",
       "      <td>-0.003216</td>\n",
       "      <td>-0.001407</td>\n",
       "      <td>-0.003307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Art &amp; Design</th>\n",
       "      <td>0.036589</td>\n",
       "      <td>-0.014268</td>\n",
       "      <td>-0.040344</td>\n",
       "      <td>-0.013102</td>\n",
       "      <td>-0.005335</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.011500</td>\n",
       "      <td>-0.017873</td>\n",
       "      <td>-0.016469</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.022518</td>\n",
       "      <td>-0.019818</td>\n",
       "      <td>-0.006635</td>\n",
       "      <td>-0.010732</td>\n",
       "      <td>-0.015607</td>\n",
       "      <td>-0.012617</td>\n",
       "      <td>-0.013785</td>\n",
       "      <td>-0.007797</td>\n",
       "      <td>0.019134</td>\n",
       "      <td>0.137544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tools</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Role Playing</th>\n",
       "      <td>0.031954</td>\n",
       "      <td>-0.007145</td>\n",
       "      <td>0.143820</td>\n",
       "      <td>-0.013051</td>\n",
       "      <td>0.003725</td>\n",
       "      <td>-0.011500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.024493</td>\n",
       "      <td>-0.022570</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.030859</td>\n",
       "      <td>-0.027159</td>\n",
       "      <td>-0.009092</td>\n",
       "      <td>-0.014708</td>\n",
       "      <td>-0.021388</td>\n",
       "      <td>-0.017291</td>\n",
       "      <td>-0.018891</td>\n",
       "      <td>-0.010686</td>\n",
       "      <td>0.039790</td>\n",
       "      <td>-0.008183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Medical</th>\n",
       "      <td>-0.004450</td>\n",
       "      <td>-0.031706</td>\n",
       "      <td>-0.033053</td>\n",
       "      <td>-0.033579</td>\n",
       "      <td>0.026393</td>\n",
       "      <td>-0.017873</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.024493</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.035078</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.047961</td>\n",
       "      <td>-0.042210</td>\n",
       "      <td>-0.014132</td>\n",
       "      <td>-0.022859</td>\n",
       "      <td>-0.033242</td>\n",
       "      <td>-0.026873</td>\n",
       "      <td>-0.029361</td>\n",
       "      <td>-0.016608</td>\n",
       "      <td>-0.021105</td>\n",
       "      <td>-0.012718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Casual</th>\n",
       "      <td>-0.002186</td>\n",
       "      <td>0.112902</td>\n",
       "      <td>0.098152</td>\n",
       "      <td>0.092154</td>\n",
       "      <td>-0.009759</td>\n",
       "      <td>-0.016469</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.022570</td>\n",
       "      <td>-0.035078</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.044195</td>\n",
       "      <td>-0.038896</td>\n",
       "      <td>-0.013022</td>\n",
       "      <td>-0.021064</td>\n",
       "      <td>-0.030631</td>\n",
       "      <td>-0.024763</td>\n",
       "      <td>-0.027055</td>\n",
       "      <td>-0.015304</td>\n",
       "      <td>0.207785</td>\n",
       "      <td>0.075615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Travel &amp; Local</th>\n",
       "      <td>-0.043195</td>\n",
       "      <td>-0.020601</td>\n",
       "      <td>0.011716</td>\n",
       "      <td>-0.019337</td>\n",
       "      <td>-0.008002</td>\n",
       "      <td>-0.013559</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.018581</td>\n",
       "      <td>-0.028879</td>\n",
       "      <td>-0.026611</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.036384</td>\n",
       "      <td>-0.032022</td>\n",
       "      <td>-0.010721</td>\n",
       "      <td>-0.017341</td>\n",
       "      <td>-0.025218</td>\n",
       "      <td>-0.020387</td>\n",
       "      <td>-0.022274</td>\n",
       "      <td>-0.012599</td>\n",
       "      <td>-0.016011</td>\n",
       "      <td>-0.009649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>House &amp; Home</th>\n",
       "      <td>0.002943</td>\n",
       "      <td>-0.013257</td>\n",
       "      <td>-0.023094</td>\n",
       "      <td>-0.013214</td>\n",
       "      <td>-0.005660</td>\n",
       "      <td>-0.008100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.011100</td>\n",
       "      <td>-0.017251</td>\n",
       "      <td>-0.015897</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.021735</td>\n",
       "      <td>-0.019129</td>\n",
       "      <td>-0.006404</td>\n",
       "      <td>-0.010359</td>\n",
       "      <td>-0.015064</td>\n",
       "      <td>-0.012179</td>\n",
       "      <td>-0.013306</td>\n",
       "      <td>-0.007526</td>\n",
       "      <td>-0.009564</td>\n",
       "      <td>-0.005764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Board</th>\n",
       "      <td>0.026894</td>\n",
       "      <td>-0.010777</td>\n",
       "      <td>0.002993</td>\n",
       "      <td>-0.009782</td>\n",
       "      <td>-0.000704</td>\n",
       "      <td>-0.008025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.010998</td>\n",
       "      <td>-0.017093</td>\n",
       "      <td>-0.015751</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.021535</td>\n",
       "      <td>-0.018953</td>\n",
       "      <td>-0.006345</td>\n",
       "      <td>-0.010264</td>\n",
       "      <td>-0.014926</td>\n",
       "      <td>-0.012066</td>\n",
       "      <td>-0.013183</td>\n",
       "      <td>-0.007457</td>\n",
       "      <td>-0.009476</td>\n",
       "      <td>-0.005711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Simulation</th>\n",
       "      <td>-0.002130</td>\n",
       "      <td>-0.014245</td>\n",
       "      <td>0.157480</td>\n",
       "      <td>-0.016864</td>\n",
       "      <td>-0.008949</td>\n",
       "      <td>-0.015405</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.021111</td>\n",
       "      <td>-0.032812</td>\n",
       "      <td>-0.030235</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.041339</td>\n",
       "      <td>-0.036382</td>\n",
       "      <td>-0.012180</td>\n",
       "      <td>-0.019703</td>\n",
       "      <td>-0.028652</td>\n",
       "      <td>-0.023163</td>\n",
       "      <td>-0.025307</td>\n",
       "      <td>-0.014315</td>\n",
       "      <td>0.006007</td>\n",
       "      <td>-0.010962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Photography</th>\n",
       "      <td>-0.006231</td>\n",
       "      <td>0.002208</td>\n",
       "      <td>-0.041821</td>\n",
       "      <td>0.007908</td>\n",
       "      <td>-0.008314</td>\n",
       "      <td>-0.016508</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.022622</td>\n",
       "      <td>-0.035160</td>\n",
       "      <td>-0.032399</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.044297</td>\n",
       "      <td>-0.038986</td>\n",
       "      <td>-0.013052</td>\n",
       "      <td>-0.021113</td>\n",
       "      <td>-0.030703</td>\n",
       "      <td>-0.024821</td>\n",
       "      <td>-0.027118</td>\n",
       "      <td>-0.015339</td>\n",
       "      <td>-0.019493</td>\n",
       "      <td>-0.011747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Food &amp; Drink</th>\n",
       "      <td>-0.019757</td>\n",
       "      <td>-0.014844</td>\n",
       "      <td>0.000937</td>\n",
       "      <td>-0.014361</td>\n",
       "      <td>-0.006504</td>\n",
       "      <td>-0.009848</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.013495</td>\n",
       "      <td>-0.020974</td>\n",
       "      <td>-0.019328</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.026425</td>\n",
       "      <td>-0.023257</td>\n",
       "      <td>-0.007786</td>\n",
       "      <td>-0.012595</td>\n",
       "      <td>-0.018316</td>\n",
       "      <td>-0.014807</td>\n",
       "      <td>-0.016177</td>\n",
       "      <td>-0.009150</td>\n",
       "      <td>-0.011629</td>\n",
       "      <td>-0.007008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Finance</th>\n",
       "      <td>-0.023744</td>\n",
       "      <td>-0.027151</td>\n",
       "      <td>-0.034351</td>\n",
       "      <td>-0.028526</td>\n",
       "      <td>0.095424</td>\n",
       "      <td>-0.017331</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.023750</td>\n",
       "      <td>-0.036912</td>\n",
       "      <td>-0.034014</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.046505</td>\n",
       "      <td>-0.040929</td>\n",
       "      <td>-0.013703</td>\n",
       "      <td>-0.022165</td>\n",
       "      <td>-0.032233</td>\n",
       "      <td>-0.026058</td>\n",
       "      <td>-0.028470</td>\n",
       "      <td>-0.016104</td>\n",
       "      <td>-0.020465</td>\n",
       "      <td>-0.012333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Video Players &amp; Editors</th>\n",
       "      <td>-0.040183</td>\n",
       "      <td>-0.007440</td>\n",
       "      <td>-0.040208</td>\n",
       "      <td>-0.003459</td>\n",
       "      <td>-0.008193</td>\n",
       "      <td>-0.011814</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.016190</td>\n",
       "      <td>-0.025163</td>\n",
       "      <td>-0.023187</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.031703</td>\n",
       "      <td>-0.027901</td>\n",
       "      <td>-0.009341</td>\n",
       "      <td>-0.015110</td>\n",
       "      <td>-0.021973</td>\n",
       "      <td>-0.017764</td>\n",
       "      <td>-0.019408</td>\n",
       "      <td>-0.010978</td>\n",
       "      <td>-0.013951</td>\n",
       "      <td>0.025849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maps &amp; Navigation</th>\n",
       "      <td>-0.033947</td>\n",
       "      <td>-0.016009</td>\n",
       "      <td>-0.031184</td>\n",
       "      <td>-0.015275</td>\n",
       "      <td>-0.006772</td>\n",
       "      <td>-0.010210</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.013992</td>\n",
       "      <td>-0.021747</td>\n",
       "      <td>-0.020039</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.027398</td>\n",
       "      <td>-0.024113</td>\n",
       "      <td>-0.008073</td>\n",
       "      <td>-0.013058</td>\n",
       "      <td>-0.018990</td>\n",
       "      <td>-0.015352</td>\n",
       "      <td>-0.016773</td>\n",
       "      <td>-0.009487</td>\n",
       "      <td>-0.012057</td>\n",
       "      <td>-0.007266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trivia</th>\n",
       "      <td>-0.021497</td>\n",
       "      <td>-0.001673</td>\n",
       "      <td>-0.005995</td>\n",
       "      <td>-0.005136</td>\n",
       "      <td>-0.003884</td>\n",
       "      <td>-0.005557</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.007616</td>\n",
       "      <td>-0.011837</td>\n",
       "      <td>-0.010907</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.014913</td>\n",
       "      <td>-0.013125</td>\n",
       "      <td>-0.004394</td>\n",
       "      <td>-0.007108</td>\n",
       "      <td>-0.010336</td>\n",
       "      <td>-0.008356</td>\n",
       "      <td>-0.009130</td>\n",
       "      <td>-0.005164</td>\n",
       "      <td>-0.006563</td>\n",
       "      <td>-0.003955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Libraries &amp; Demo</th>\n",
       "      <td>0.007933</td>\n",
       "      <td>-0.014348</td>\n",
       "      <td>-0.041419</td>\n",
       "      <td>-0.014297</td>\n",
       "      <td>-0.005864</td>\n",
       "      <td>-0.008391</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.011500</td>\n",
       "      <td>-0.017873</td>\n",
       "      <td>-0.016469</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.022518</td>\n",
       "      <td>-0.019818</td>\n",
       "      <td>-0.006635</td>\n",
       "      <td>-0.010732</td>\n",
       "      <td>-0.015607</td>\n",
       "      <td>-0.012617</td>\n",
       "      <td>-0.013785</td>\n",
       "      <td>-0.007797</td>\n",
       "      <td>-0.009909</td>\n",
       "      <td>-0.005971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arcade</th>\n",
       "      <td>0.038058</td>\n",
       "      <td>0.106349</td>\n",
       "      <td>0.143632</td>\n",
       "      <td>0.134971</td>\n",
       "      <td>-0.008481</td>\n",
       "      <td>-0.015283</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.020944</td>\n",
       "      <td>-0.032551</td>\n",
       "      <td>-0.029995</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.041011</td>\n",
       "      <td>-0.036093</td>\n",
       "      <td>-0.012084</td>\n",
       "      <td>-0.019546</td>\n",
       "      <td>-0.028425</td>\n",
       "      <td>-0.022979</td>\n",
       "      <td>-0.025106</td>\n",
       "      <td>-0.014201</td>\n",
       "      <td>-0.009920</td>\n",
       "      <td>-0.010875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Health &amp; Fitness</th>\n",
       "      <td>0.018386</td>\n",
       "      <td>-0.024061</td>\n",
       "      <td>0.012711</td>\n",
       "      <td>-0.016178</td>\n",
       "      <td>-0.009361</td>\n",
       "      <td>-0.015767</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.021607</td>\n",
       "      <td>-0.033582</td>\n",
       "      <td>-0.030945</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.042310</td>\n",
       "      <td>-0.037237</td>\n",
       "      <td>-0.012467</td>\n",
       "      <td>-0.020165</td>\n",
       "      <td>-0.029325</td>\n",
       "      <td>-0.023707</td>\n",
       "      <td>-0.025901</td>\n",
       "      <td>-0.014651</td>\n",
       "      <td>-0.018618</td>\n",
       "      <td>-0.011220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lifestyle</th>\n",
       "      <td>-0.046972</td>\n",
       "      <td>-0.027433</td>\n",
       "      <td>-0.059565</td>\n",
       "      <td>-0.026390</td>\n",
       "      <td>0.075038</td>\n",
       "      <td>-0.017110</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.023447</td>\n",
       "      <td>-0.036442</td>\n",
       "      <td>-0.033580</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.045912</td>\n",
       "      <td>-0.040407</td>\n",
       "      <td>-0.013528</td>\n",
       "      <td>-0.021882</td>\n",
       "      <td>-0.031822</td>\n",
       "      <td>-0.025726</td>\n",
       "      <td>-0.028107</td>\n",
       "      <td>-0.015898</td>\n",
       "      <td>-0.020204</td>\n",
       "      <td>-0.012175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Auto &amp; Vehicles</th>\n",
       "      <td>0.005321</td>\n",
       "      <td>-0.014077</td>\n",
       "      <td>-0.007564</td>\n",
       "      <td>-0.014479</td>\n",
       "      <td>-0.005763</td>\n",
       "      <td>-0.008247</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.011301</td>\n",
       "      <td>-0.017565</td>\n",
       "      <td>-0.016186</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.022130</td>\n",
       "      <td>-0.019476</td>\n",
       "      <td>-0.006521</td>\n",
       "      <td>-0.010547</td>\n",
       "      <td>-0.015338</td>\n",
       "      <td>-0.012400</td>\n",
       "      <td>-0.013547</td>\n",
       "      <td>-0.007663</td>\n",
       "      <td>-0.009738</td>\n",
       "      <td>-0.005868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dating</th>\n",
       "      <td>-0.062625</td>\n",
       "      <td>-0.022692</td>\n",
       "      <td>-0.030246</td>\n",
       "      <td>-0.023528</td>\n",
       "      <td>-0.009153</td>\n",
       "      <td>-0.013650</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.018706</td>\n",
       "      <td>-0.029072</td>\n",
       "      <td>-0.026790</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.036628</td>\n",
       "      <td>-0.032236</td>\n",
       "      <td>-0.010792</td>\n",
       "      <td>-0.017457</td>\n",
       "      <td>-0.025387</td>\n",
       "      <td>-0.020523</td>\n",
       "      <td>-0.022423</td>\n",
       "      <td>-0.012683</td>\n",
       "      <td>-0.016118</td>\n",
       "      <td>-0.009713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Comics</th>\n",
       "      <td>-0.004337</td>\n",
       "      <td>-0.012955</td>\n",
       "      <td>-0.035770</td>\n",
       "      <td>-0.013757</td>\n",
       "      <td>-0.005230</td>\n",
       "      <td>-0.007483</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.010255</td>\n",
       "      <td>-0.015938</td>\n",
       "      <td>-0.014687</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.020081</td>\n",
       "      <td>-0.017673</td>\n",
       "      <td>-0.005917</td>\n",
       "      <td>-0.009571</td>\n",
       "      <td>-0.013918</td>\n",
       "      <td>-0.011252</td>\n",
       "      <td>-0.012293</td>\n",
       "      <td>-0.006953</td>\n",
       "      <td>-0.008836</td>\n",
       "      <td>-0.005325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Puzzle</th>\n",
       "      <td>0.042935</td>\n",
       "      <td>-0.002009</td>\n",
       "      <td>0.057491</td>\n",
       "      <td>0.011595</td>\n",
       "      <td>-0.005261</td>\n",
       "      <td>-0.011067</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.015167</td>\n",
       "      <td>-0.023572</td>\n",
       "      <td>-0.021721</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.029698</td>\n",
       "      <td>-0.026137</td>\n",
       "      <td>-0.008751</td>\n",
       "      <td>-0.014155</td>\n",
       "      <td>-0.020584</td>\n",
       "      <td>-0.016641</td>\n",
       "      <td>-0.018181</td>\n",
       "      <td>-0.010284</td>\n",
       "      <td>-0.013069</td>\n",
       "      <td>-0.007876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Music &amp; Video</th>\n",
       "      <td>0.005217</td>\n",
       "      <td>-0.009678</td>\n",
       "      <td>0.011397</td>\n",
       "      <td>-0.006904</td>\n",
       "      <td>-0.004000</td>\n",
       "      <td>-0.006071</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.008319</td>\n",
       "      <td>-0.012930</td>\n",
       "      <td>0.012635</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.016290</td>\n",
       "      <td>-0.014337</td>\n",
       "      <td>-0.004800</td>\n",
       "      <td>-0.007764</td>\n",
       "      <td>-0.011291</td>\n",
       "      <td>-0.009128</td>\n",
       "      <td>-0.009972</td>\n",
       "      <td>-0.005641</td>\n",
       "      <td>-0.007168</td>\n",
       "      <td>-0.004320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Beauty</th>\n",
       "      <td>0.022534</td>\n",
       "      <td>-0.011107</td>\n",
       "      <td>-0.020345</td>\n",
       "      <td>-0.011471</td>\n",
       "      <td>-0.004378</td>\n",
       "      <td>-0.006264</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.008585</td>\n",
       "      <td>-0.013342</td>\n",
       "      <td>-0.012294</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.016809</td>\n",
       "      <td>-0.014794</td>\n",
       "      <td>-0.004953</td>\n",
       "      <td>-0.008012</td>\n",
       "      <td>-0.011651</td>\n",
       "      <td>-0.009419</td>\n",
       "      <td>-0.010290</td>\n",
       "      <td>-0.005821</td>\n",
       "      <td>-0.007397</td>\n",
       "      <td>-0.004458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Social</th>\n",
       "      <td>0.025841</td>\n",
       "      <td>-0.009790</td>\n",
       "      <td>-0.023067</td>\n",
       "      <td>-0.010403</td>\n",
       "      <td>-0.009745</td>\n",
       "      <td>-0.014096</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.019317</td>\n",
       "      <td>-0.030023</td>\n",
       "      <td>-0.027666</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.037826</td>\n",
       "      <td>-0.033290</td>\n",
       "      <td>-0.011145</td>\n",
       "      <td>-0.018028</td>\n",
       "      <td>-0.026217</td>\n",
       "      <td>-0.021195</td>\n",
       "      <td>-0.023156</td>\n",
       "      <td>-0.013098</td>\n",
       "      <td>-0.016645</td>\n",
       "      <td>-0.010031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Education</th>\n",
       "      <td>0.059416</td>\n",
       "      <td>-0.034884</td>\n",
       "      <td>-0.091625</td>\n",
       "      <td>-0.035879</td>\n",
       "      <td>-0.012984</td>\n",
       "      <td>-0.020780</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.028478</td>\n",
       "      <td>-0.044260</td>\n",
       "      <td>-0.040785</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.055763</td>\n",
       "      <td>-0.049077</td>\n",
       "      <td>-0.016431</td>\n",
       "      <td>-0.026577</td>\n",
       "      <td>-0.038649</td>\n",
       "      <td>-0.031245</td>\n",
       "      <td>-0.034137</td>\n",
       "      <td>-0.019309</td>\n",
       "      <td>-0.024539</td>\n",
       "      <td>-0.014788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Entertainment</th>\n",
       "      <td>-0.048532</td>\n",
       "      <td>-0.030358</td>\n",
       "      <td>-0.072164</td>\n",
       "      <td>-0.021768</td>\n",
       "      <td>0.026090</td>\n",
       "      <td>-0.022518</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.030859</td>\n",
       "      <td>-0.047961</td>\n",
       "      <td>-0.044195</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.053180</td>\n",
       "      <td>-0.017804</td>\n",
       "      <td>-0.028799</td>\n",
       "      <td>-0.041881</td>\n",
       "      <td>-0.033857</td>\n",
       "      <td>-0.036991</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-0.026590</td>\n",
       "      <td>-0.016024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Action</th>\n",
       "      <td>0.039638</td>\n",
       "      <td>0.053233</td>\n",
       "      <td>0.247037</td>\n",
       "      <td>0.058954</td>\n",
       "      <td>-0.010722</td>\n",
       "      <td>-0.019818</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.027159</td>\n",
       "      <td>-0.042210</td>\n",
       "      <td>-0.038896</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.053180</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.015669</td>\n",
       "      <td>-0.025346</td>\n",
       "      <td>-0.036859</td>\n",
       "      <td>-0.029798</td>\n",
       "      <td>-0.032556</td>\n",
       "      <td>-0.018415</td>\n",
       "      <td>-0.023402</td>\n",
       "      <td>-0.014103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Card</th>\n",
       "      <td>-0.005248</td>\n",
       "      <td>-0.008175</td>\n",
       "      <td>0.028063</td>\n",
       "      <td>-0.008960</td>\n",
       "      <td>-0.003357</td>\n",
       "      <td>-0.006635</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.009092</td>\n",
       "      <td>-0.014132</td>\n",
       "      <td>-0.013022</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.017804</td>\n",
       "      <td>-0.015669</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.008486</td>\n",
       "      <td>-0.012340</td>\n",
       "      <td>-0.009976</td>\n",
       "      <td>-0.010899</td>\n",
       "      <td>-0.006165</td>\n",
       "      <td>-0.007835</td>\n",
       "      <td>-0.004721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strategy</th>\n",
       "      <td>0.018805</td>\n",
       "      <td>0.184597</td>\n",
       "      <td>0.141866</td>\n",
       "      <td>0.023512</td>\n",
       "      <td>-0.004409</td>\n",
       "      <td>-0.010732</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.014708</td>\n",
       "      <td>-0.022859</td>\n",
       "      <td>-0.021064</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.028799</td>\n",
       "      <td>-0.025346</td>\n",
       "      <td>-0.008486</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.019961</td>\n",
       "      <td>-0.016137</td>\n",
       "      <td>-0.017630</td>\n",
       "      <td>-0.009972</td>\n",
       "      <td>-0.012673</td>\n",
       "      <td>-0.007637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Business</th>\n",
       "      <td>-0.025868</td>\n",
       "      <td>-0.025473</td>\n",
       "      <td>-0.061601</td>\n",
       "      <td>-0.021172</td>\n",
       "      <td>-0.008480</td>\n",
       "      <td>-0.015607</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.021388</td>\n",
       "      <td>-0.033242</td>\n",
       "      <td>-0.030631</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.041881</td>\n",
       "      <td>-0.036859</td>\n",
       "      <td>-0.012340</td>\n",
       "      <td>-0.019961</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.023467</td>\n",
       "      <td>-0.025639</td>\n",
       "      <td>-0.014502</td>\n",
       "      <td>-0.018430</td>\n",
       "      <td>-0.011106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Books &amp; Reference</th>\n",
       "      <td>0.039673</td>\n",
       "      <td>-0.020593</td>\n",
       "      <td>-0.049764</td>\n",
       "      <td>-0.021386</td>\n",
       "      <td>-0.007677</td>\n",
       "      <td>-0.012617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.017291</td>\n",
       "      <td>-0.026873</td>\n",
       "      <td>-0.024763</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.033857</td>\n",
       "      <td>-0.029798</td>\n",
       "      <td>-0.009976</td>\n",
       "      <td>-0.016137</td>\n",
       "      <td>-0.023467</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.020727</td>\n",
       "      <td>-0.011724</td>\n",
       "      <td>-0.014899</td>\n",
       "      <td>-0.008978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>News &amp; Magazines</th>\n",
       "      <td>-0.015795</td>\n",
       "      <td>-0.020020</td>\n",
       "      <td>-0.064758</td>\n",
       "      <td>0.051542</td>\n",
       "      <td>-0.009416</td>\n",
       "      <td>-0.013785</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.018891</td>\n",
       "      <td>-0.029361</td>\n",
       "      <td>-0.027055</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.036991</td>\n",
       "      <td>-0.032556</td>\n",
       "      <td>-0.010899</td>\n",
       "      <td>-0.017630</td>\n",
       "      <td>-0.025639</td>\n",
       "      <td>-0.020727</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.012809</td>\n",
       "      <td>-0.016278</td>\n",
       "      <td>-0.009810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weather</th>\n",
       "      <td>0.012139</td>\n",
       "      <td>-0.010725</td>\n",
       "      <td>-0.037165</td>\n",
       "      <td>-0.010493</td>\n",
       "      <td>-0.003216</td>\n",
       "      <td>-0.007797</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.010686</td>\n",
       "      <td>-0.016608</td>\n",
       "      <td>-0.015304</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.020924</td>\n",
       "      <td>-0.018415</td>\n",
       "      <td>-0.006165</td>\n",
       "      <td>-0.009972</td>\n",
       "      <td>-0.014502</td>\n",
       "      <td>-0.011724</td>\n",
       "      <td>-0.012809</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.009207</td>\n",
       "      <td>-0.005549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pretend Play</th>\n",
       "      <td>0.016025</td>\n",
       "      <td>-0.012275</td>\n",
       "      <td>0.105508</td>\n",
       "      <td>-0.007455</td>\n",
       "      <td>-0.001407</td>\n",
       "      <td>0.019134</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.039790</td>\n",
       "      <td>-0.021105</td>\n",
       "      <td>0.207785</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.026590</td>\n",
       "      <td>-0.023402</td>\n",
       "      <td>-0.007835</td>\n",
       "      <td>-0.012673</td>\n",
       "      <td>-0.018430</td>\n",
       "      <td>-0.014899</td>\n",
       "      <td>-0.016278</td>\n",
       "      <td>-0.009207</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.007051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Creativity</th>\n",
       "      <td>0.027650</td>\n",
       "      <td>-0.008927</td>\n",
       "      <td>0.033136</td>\n",
       "      <td>-0.007875</td>\n",
       "      <td>-0.003307</td>\n",
       "      <td>0.137544</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.008183</td>\n",
       "      <td>-0.012718</td>\n",
       "      <td>0.075615</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.016024</td>\n",
       "      <td>-0.014103</td>\n",
       "      <td>-0.004721</td>\n",
       "      <td>-0.007637</td>\n",
       "      <td>-0.011106</td>\n",
       "      <td>-0.008978</td>\n",
       "      <td>-0.009810</td>\n",
       "      <td>-0.005549</td>\n",
       "      <td>-0.007051</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>42 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Rating   Reviews      Size  Installs     Price  \\\n",
       "Rating                   1.000000  0.093150  0.099408  0.061916 -0.026328   \n",
       "Reviews                  0.093150  1.000000  0.241223  0.625301 -0.010510   \n",
       "Size                     0.099408  0.241223  1.000000  0.161050 -0.027420   \n",
       "Installs                 0.061916  0.625301  0.161050  1.000000 -0.011201   \n",
       "Price                   -0.026328 -0.010510 -0.027420 -0.011201  1.000000   \n",
       "Art & Design             0.036589 -0.014268 -0.040344 -0.013102 -0.005335   \n",
       "Tools                         NaN       NaN       NaN       NaN       NaN   \n",
       "Role Playing             0.031954 -0.007145  0.143820 -0.013051  0.003725   \n",
       "Medical                 -0.004450 -0.031706 -0.033053 -0.033579  0.026393   \n",
       "Casual                  -0.002186  0.112902  0.098152  0.092154 -0.009759   \n",
       "Travel & Local          -0.043195 -0.020601  0.011716 -0.019337 -0.008002   \n",
       "House & Home             0.002943 -0.013257 -0.023094 -0.013214 -0.005660   \n",
       "Board                    0.026894 -0.010777  0.002993 -0.009782 -0.000704   \n",
       "Simulation              -0.002130 -0.014245  0.157480 -0.016864 -0.008949   \n",
       "Photography             -0.006231  0.002208 -0.041821  0.007908 -0.008314   \n",
       "Food & Drink            -0.019757 -0.014844  0.000937 -0.014361 -0.006504   \n",
       "Finance                 -0.023744 -0.027151 -0.034351 -0.028526  0.095424   \n",
       "Video Players & Editors -0.040183 -0.007440 -0.040208 -0.003459 -0.008193   \n",
       "Maps & Navigation       -0.033947 -0.016009 -0.031184 -0.015275 -0.006772   \n",
       "Trivia                  -0.021497 -0.001673 -0.005995 -0.005136 -0.003884   \n",
       "Libraries & Demo         0.007933 -0.014348 -0.041419 -0.014297 -0.005864   \n",
       "Arcade                   0.038058  0.106349  0.143632  0.134971 -0.008481   \n",
       "Health & Fitness         0.018386 -0.024061  0.012711 -0.016178 -0.009361   \n",
       "Lifestyle               -0.046972 -0.027433 -0.059565 -0.026390  0.075038   \n",
       "Auto & Vehicles          0.005321 -0.014077 -0.007564 -0.014479 -0.005763   \n",
       "Dating                  -0.062625 -0.022692 -0.030246 -0.023528 -0.009153   \n",
       "Comics                  -0.004337 -0.012955 -0.035770 -0.013757 -0.005230   \n",
       "Puzzle                   0.042935 -0.002009  0.057491  0.011595 -0.005261   \n",
       "Music & Video            0.005217 -0.009678  0.011397 -0.006904 -0.004000   \n",
       "Beauty                   0.022534 -0.011107 -0.020345 -0.011471 -0.004378   \n",
       "Social                   0.025841 -0.009790 -0.023067 -0.010403 -0.009745   \n",
       "Education                0.059416 -0.034884 -0.091625 -0.035879 -0.012984   \n",
       "Entertainment           -0.048532 -0.030358 -0.072164 -0.021768  0.026090   \n",
       "Action                   0.039638  0.053233  0.247037  0.058954 -0.010722   \n",
       "Card                    -0.005248 -0.008175  0.028063 -0.008960 -0.003357   \n",
       "Strategy                 0.018805  0.184597  0.141866  0.023512 -0.004409   \n",
       "Business                -0.025868 -0.025473 -0.061601 -0.021172 -0.008480   \n",
       "Books & Reference        0.039673 -0.020593 -0.049764 -0.021386 -0.007677   \n",
       "News & Magazines        -0.015795 -0.020020 -0.064758  0.051542 -0.009416   \n",
       "Weather                  0.012139 -0.010725 -0.037165 -0.010493 -0.003216   \n",
       "Pretend Play             0.016025 -0.012275  0.105508 -0.007455 -0.001407   \n",
       "Creativity               0.027650 -0.008927  0.033136 -0.007875 -0.003307   \n",
       "\n",
       "                         Art & Design  Tools  Role Playing   Medical  \\\n",
       "Rating                       0.036589    NaN      0.031954 -0.004450   \n",
       "Reviews                     -0.014268    NaN     -0.007145 -0.031706   \n",
       "Size                        -0.040344    NaN      0.143820 -0.033053   \n",
       "Installs                    -0.013102    NaN     -0.013051 -0.033579   \n",
       "Price                       -0.005335    NaN      0.003725  0.026393   \n",
       "Art & Design                 1.000000    NaN     -0.011500 -0.017873   \n",
       "Tools                             NaN    NaN           NaN       NaN   \n",
       "Role Playing                -0.011500    NaN      1.000000 -0.024493   \n",
       "Medical                     -0.017873    NaN     -0.024493  1.000000   \n",
       "Casual                      -0.016469    NaN     -0.022570 -0.035078   \n",
       "Travel & Local              -0.013559    NaN     -0.018581 -0.028879   \n",
       "House & Home                -0.008100    NaN     -0.011100 -0.017251   \n",
       "Board                       -0.008025    NaN     -0.010998 -0.017093   \n",
       "Simulation                  -0.015405    NaN     -0.021111 -0.032812   \n",
       "Photography                 -0.016508    NaN     -0.022622 -0.035160   \n",
       "Food & Drink                -0.009848    NaN     -0.013495 -0.020974   \n",
       "Finance                     -0.017331    NaN     -0.023750 -0.036912   \n",
       "Video Players & Editors     -0.011814    NaN     -0.016190 -0.025163   \n",
       "Maps & Navigation           -0.010210    NaN     -0.013992 -0.021747   \n",
       "Trivia                      -0.005557    NaN     -0.007616 -0.011837   \n",
       "Libraries & Demo            -0.008391    NaN     -0.011500 -0.017873   \n",
       "Arcade                      -0.015283    NaN     -0.020944 -0.032551   \n",
       "Health & Fitness            -0.015767    NaN     -0.021607 -0.033582   \n",
       "Lifestyle                   -0.017110    NaN     -0.023447 -0.036442   \n",
       "Auto & Vehicles             -0.008247    NaN     -0.011301 -0.017565   \n",
       "Dating                      -0.013650    NaN     -0.018706 -0.029072   \n",
       "Comics                      -0.007483    NaN     -0.010255 -0.015938   \n",
       "Puzzle                      -0.011067    NaN     -0.015167 -0.023572   \n",
       "Music & Video               -0.006071    NaN     -0.008319 -0.012930   \n",
       "Beauty                      -0.006264    NaN     -0.008585 -0.013342   \n",
       "Social                      -0.014096    NaN     -0.019317 -0.030023   \n",
       "Education                   -0.020780    NaN     -0.028478 -0.044260   \n",
       "Entertainment               -0.022518    NaN     -0.030859 -0.047961   \n",
       "Action                      -0.019818    NaN     -0.027159 -0.042210   \n",
       "Card                        -0.006635    NaN     -0.009092 -0.014132   \n",
       "Strategy                    -0.010732    NaN     -0.014708 -0.022859   \n",
       "Business                    -0.015607    NaN     -0.021388 -0.033242   \n",
       "Books & Reference           -0.012617    NaN     -0.017291 -0.026873   \n",
       "News & Magazines            -0.013785    NaN     -0.018891 -0.029361   \n",
       "Weather                     -0.007797    NaN     -0.010686 -0.016608   \n",
       "Pretend Play                 0.019134    NaN      0.039790 -0.021105   \n",
       "Creativity                   0.137544    NaN     -0.008183 -0.012718   \n",
       "\n",
       "                           Casual  ...  Entertainment    Action      Card  \\\n",
       "Rating                  -0.002186  ...      -0.048532  0.039638 -0.005248   \n",
       "Reviews                  0.112902  ...      -0.030358  0.053233 -0.008175   \n",
       "Size                     0.098152  ...      -0.072164  0.247037  0.028063   \n",
       "Installs                 0.092154  ...      -0.021768  0.058954 -0.008960   \n",
       "Price                   -0.009759  ...       0.026090 -0.010722 -0.003357   \n",
       "Art & Design            -0.016469  ...      -0.022518 -0.019818 -0.006635   \n",
       "Tools                         NaN  ...            NaN       NaN       NaN   \n",
       "Role Playing            -0.022570  ...      -0.030859 -0.027159 -0.009092   \n",
       "Medical                 -0.035078  ...      -0.047961 -0.042210 -0.014132   \n",
       "Casual                   1.000000  ...      -0.044195 -0.038896 -0.013022   \n",
       "Travel & Local          -0.026611  ...      -0.036384 -0.032022 -0.010721   \n",
       "House & Home            -0.015897  ...      -0.021735 -0.019129 -0.006404   \n",
       "Board                   -0.015751  ...      -0.021535 -0.018953 -0.006345   \n",
       "Simulation              -0.030235  ...      -0.041339 -0.036382 -0.012180   \n",
       "Photography             -0.032399  ...      -0.044297 -0.038986 -0.013052   \n",
       "Food & Drink            -0.019328  ...      -0.026425 -0.023257 -0.007786   \n",
       "Finance                 -0.034014  ...      -0.046505 -0.040929 -0.013703   \n",
       "Video Players & Editors -0.023187  ...      -0.031703 -0.027901 -0.009341   \n",
       "Maps & Navigation       -0.020039  ...      -0.027398 -0.024113 -0.008073   \n",
       "Trivia                  -0.010907  ...      -0.014913 -0.013125 -0.004394   \n",
       "Libraries & Demo        -0.016469  ...      -0.022518 -0.019818 -0.006635   \n",
       "Arcade                  -0.029995  ...      -0.041011 -0.036093 -0.012084   \n",
       "Health & Fitness        -0.030945  ...      -0.042310 -0.037237 -0.012467   \n",
       "Lifestyle               -0.033580  ...      -0.045912 -0.040407 -0.013528   \n",
       "Auto & Vehicles         -0.016186  ...      -0.022130 -0.019476 -0.006521   \n",
       "Dating                  -0.026790  ...      -0.036628 -0.032236 -0.010792   \n",
       "Comics                  -0.014687  ...      -0.020081 -0.017673 -0.005917   \n",
       "Puzzle                  -0.021721  ...      -0.029698 -0.026137 -0.008751   \n",
       "Music & Video            0.012635  ...      -0.016290 -0.014337 -0.004800   \n",
       "Beauty                  -0.012294  ...      -0.016809 -0.014794 -0.004953   \n",
       "Social                  -0.027666  ...      -0.037826 -0.033290 -0.011145   \n",
       "Education               -0.040785  ...      -0.055763 -0.049077 -0.016431   \n",
       "Entertainment           -0.044195  ...       1.000000 -0.053180 -0.017804   \n",
       "Action                  -0.038896  ...      -0.053180  1.000000 -0.015669   \n",
       "Card                    -0.013022  ...      -0.017804 -0.015669  1.000000   \n",
       "Strategy                -0.021064  ...      -0.028799 -0.025346 -0.008486   \n",
       "Business                -0.030631  ...      -0.041881 -0.036859 -0.012340   \n",
       "Books & Reference       -0.024763  ...      -0.033857 -0.029798 -0.009976   \n",
       "News & Magazines        -0.027055  ...      -0.036991 -0.032556 -0.010899   \n",
       "Weather                 -0.015304  ...      -0.020924 -0.018415 -0.006165   \n",
       "Pretend Play             0.207785  ...      -0.026590 -0.023402 -0.007835   \n",
       "Creativity               0.075615  ...      -0.016024 -0.014103 -0.004721   \n",
       "\n",
       "                         Strategy  Business  Books & Reference  \\\n",
       "Rating                   0.018805 -0.025868           0.039673   \n",
       "Reviews                  0.184597 -0.025473          -0.020593   \n",
       "Size                     0.141866 -0.061601          -0.049764   \n",
       "Installs                 0.023512 -0.021172          -0.021386   \n",
       "Price                   -0.004409 -0.008480          -0.007677   \n",
       "Art & Design            -0.010732 -0.015607          -0.012617   \n",
       "Tools                         NaN       NaN                NaN   \n",
       "Role Playing            -0.014708 -0.021388          -0.017291   \n",
       "Medical                 -0.022859 -0.033242          -0.026873   \n",
       "Casual                  -0.021064 -0.030631          -0.024763   \n",
       "Travel & Local          -0.017341 -0.025218          -0.020387   \n",
       "House & Home            -0.010359 -0.015064          -0.012179   \n",
       "Board                   -0.010264 -0.014926          -0.012066   \n",
       "Simulation              -0.019703 -0.028652          -0.023163   \n",
       "Photography             -0.021113 -0.030703          -0.024821   \n",
       "Food & Drink            -0.012595 -0.018316          -0.014807   \n",
       "Finance                 -0.022165 -0.032233          -0.026058   \n",
       "Video Players & Editors -0.015110 -0.021973          -0.017764   \n",
       "Maps & Navigation       -0.013058 -0.018990          -0.015352   \n",
       "Trivia                  -0.007108 -0.010336          -0.008356   \n",
       "Libraries & Demo        -0.010732 -0.015607          -0.012617   \n",
       "Arcade                  -0.019546 -0.028425          -0.022979   \n",
       "Health & Fitness        -0.020165 -0.029325          -0.023707   \n",
       "Lifestyle               -0.021882 -0.031822          -0.025726   \n",
       "Auto & Vehicles         -0.010547 -0.015338          -0.012400   \n",
       "Dating                  -0.017457 -0.025387          -0.020523   \n",
       "Comics                  -0.009571 -0.013918          -0.011252   \n",
       "Puzzle                  -0.014155 -0.020584          -0.016641   \n",
       "Music & Video           -0.007764 -0.011291          -0.009128   \n",
       "Beauty                  -0.008012 -0.011651          -0.009419   \n",
       "Social                  -0.018028 -0.026217          -0.021195   \n",
       "Education               -0.026577 -0.038649          -0.031245   \n",
       "Entertainment           -0.028799 -0.041881          -0.033857   \n",
       "Action                  -0.025346 -0.036859          -0.029798   \n",
       "Card                    -0.008486 -0.012340          -0.009976   \n",
       "Strategy                 1.000000 -0.019961          -0.016137   \n",
       "Business                -0.019961  1.000000          -0.023467   \n",
       "Books & Reference       -0.016137 -0.023467           1.000000   \n",
       "News & Magazines        -0.017630 -0.025639          -0.020727   \n",
       "Weather                 -0.009972 -0.014502          -0.011724   \n",
       "Pretend Play            -0.012673 -0.018430          -0.014899   \n",
       "Creativity              -0.007637 -0.011106          -0.008978   \n",
       "\n",
       "                         News & Magazines   Weather  Pretend Play  Creativity  \n",
       "Rating                          -0.015795  0.012139      0.016025    0.027650  \n",
       "Reviews                         -0.020020 -0.010725     -0.012275   -0.008927  \n",
       "Size                            -0.064758 -0.037165      0.105508    0.033136  \n",
       "Installs                         0.051542 -0.010493     -0.007455   -0.007875  \n",
       "Price                           -0.009416 -0.003216     -0.001407   -0.003307  \n",
       "Art & Design                    -0.013785 -0.007797      0.019134    0.137544  \n",
       "Tools                                 NaN       NaN           NaN         NaN  \n",
       "Role Playing                    -0.018891 -0.010686      0.039790   -0.008183  \n",
       "Medical                         -0.029361 -0.016608     -0.021105   -0.012718  \n",
       "Casual                          -0.027055 -0.015304      0.207785    0.075615  \n",
       "Travel & Local                  -0.022274 -0.012599     -0.016011   -0.009649  \n",
       "House & Home                    -0.013306 -0.007526     -0.009564   -0.005764  \n",
       "Board                           -0.013183 -0.007457     -0.009476   -0.005711  \n",
       "Simulation                      -0.025307 -0.014315      0.006007   -0.010962  \n",
       "Photography                     -0.027118 -0.015339     -0.019493   -0.011747  \n",
       "Food & Drink                    -0.016177 -0.009150     -0.011629   -0.007008  \n",
       "Finance                         -0.028470 -0.016104     -0.020465   -0.012333  \n",
       "Video Players & Editors         -0.019408 -0.010978     -0.013951    0.025849  \n",
       "Maps & Navigation               -0.016773 -0.009487     -0.012057   -0.007266  \n",
       "Trivia                          -0.009130 -0.005164     -0.006563   -0.003955  \n",
       "Libraries & Demo                -0.013785 -0.007797     -0.009909   -0.005971  \n",
       "Arcade                          -0.025106 -0.014201     -0.009920   -0.010875  \n",
       "Health & Fitness                -0.025901 -0.014651     -0.018618   -0.011220  \n",
       "Lifestyle                       -0.028107 -0.015898     -0.020204   -0.012175  \n",
       "Auto & Vehicles                 -0.013547 -0.007663     -0.009738   -0.005868  \n",
       "Dating                          -0.022423 -0.012683     -0.016118   -0.009713  \n",
       "Comics                          -0.012293 -0.006953     -0.008836   -0.005325  \n",
       "Puzzle                          -0.018181 -0.010284     -0.013069   -0.007876  \n",
       "Music & Video                   -0.009972 -0.005641     -0.007168   -0.004320  \n",
       "Beauty                          -0.010290 -0.005821     -0.007397   -0.004458  \n",
       "Social                          -0.023156 -0.013098     -0.016645   -0.010031  \n",
       "Education                       -0.034137 -0.019309     -0.024539   -0.014788  \n",
       "Entertainment                   -0.036991 -0.020924     -0.026590   -0.016024  \n",
       "Action                          -0.032556 -0.018415     -0.023402   -0.014103  \n",
       "Card                            -0.010899 -0.006165     -0.007835   -0.004721  \n",
       "Strategy                        -0.017630 -0.009972     -0.012673   -0.007637  \n",
       "Business                        -0.025639 -0.014502     -0.018430   -0.011106  \n",
       "Books & Reference               -0.020727 -0.011724     -0.014899   -0.008978  \n",
       "News & Magazines                 1.000000 -0.012809     -0.016278   -0.009810  \n",
       "Weather                         -0.012809  1.000000     -0.009207   -0.005549  \n",
       "Pretend Play                    -0.016278 -0.009207      1.000000   -0.007051  \n",
       "Creativity                      -0.009810 -0.005549     -0.007051    1.000000  \n",
       "\n",
       "[42 rows x 42 columns]"
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>...</th>\n",
       "      <th>Entertainment</th>\n",
       "      <th>Action</th>\n",
       "      <th>Card</th>\n",
       "      <th>Strategy</th>\n",
       "      <th>Business</th>\n",
       "      <th>Books &amp; Reference</th>\n",
       "      <th>News &amp; Magazines</th>\n",
       "      <th>Weather</th>\n",
       "      <th>Pretend Play</th>\n",
       "      <th>Creativity</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>19.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</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>14.0</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510</td>\n",
       "      <td>8.7</td>\n",
       "      <td>5000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>25.0</td>\n",
       "      <td>50000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967</td>\n",
       "      <td>2.8</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 52 columns</p>\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  19.0     10000.0  Free    0.0       Everyone   \n",
       "1      967  14.0    500000.0  Free    0.0       Everyone   \n",
       "2    87510   8.7   5000000.0  Free    0.0       Everyone   \n",
       "3   215644  25.0  50000000.0  Free    0.0           Teen   \n",
       "4      967   2.8    100000.0  Free    0.0       Everyone   \n",
       "\n",
       "                      Genres  ... Entertainment Action Card Strategy Business  \\\n",
       "0               Art & Design  ...             0      0    0        0        0   \n",
       "1  Art & Design;Pretend Play  ...             0      0    0        0        0   \n",
       "2               Art & Design  ...             0      0    0        0        0   \n",
       "3               Art & Design  ...             0      0    0        0        0   \n",
       "4    Art & Design;Creativity  ...             0      0    0        0        0   \n",
       "\n",
       "   Books & Reference  News & Magazines  Weather  Pretend Play  Creativity  \n",
       "0                  0                 0        0             0           0  \n",
       "1                  0                 0        0             1           0  \n",
       "2                  0                 0        0             0           0  \n",
       "3                  0                 0        0             0           0  \n",
       "4                  0                 0        0             0           1  \n",
       "\n",
       "[5 rows x 52 columns]"
      ]
     },
     "execution_count": 226,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x22d2fed6390>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(y = df['Reviews'], x = df['Installs'], kind = 'reg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x22d38d64c50>"
      ]
     },
     "execution_count": 228,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(y = df['Size'], x = df['Installs'], kind = 'reg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_df = pd.merge(df, comments, on=[\"App\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ART_AND_DESIGN\n",
      "Rating                     4.370175e+00\n",
      "Reviews                    1.907402e+04\n",
      "Size                       1.311579e+01\n",
      "Installs                   1.740842e+06\n",
      "Price                      1.047368e-01\n",
      "Art & Design               1.000000e+00\n",
      "Tools                      0.000000e+00\n",
      "Role Playing               0.000000e+00\n",
      "Medical                    0.000000e+00\n",
      "Casual                     0.000000e+00\n",
      "Travel & Local             0.000000e+00\n",
      "House & Home               0.000000e+00\n",
      "Board                      0.000000e+00\n",
      "Simulation                 0.000000e+00\n",
      "Photography                0.000000e+00\n",
      "Food & Drink               0.000000e+00\n",
      "Finance                    0.000000e+00\n",
      "Video Players & Editors    0.000000e+00\n",
      "Maps & Navigation          0.000000e+00\n",
      "Trivia                     0.000000e+00\n",
      "Libraries & Demo           0.000000e+00\n",
      "Arcade                     0.000000e+00\n",
      "Health & Fitness           0.000000e+00\n",
      "Lifestyle                  0.000000e+00\n",
      "Auto & Vehicles            0.000000e+00\n",
      "Dating                     0.000000e+00\n",
      "Comics                     0.000000e+00\n",
      "Puzzle                     0.000000e+00\n",
      "Music & Video              0.000000e+00\n",
      "Beauty                     0.000000e+00\n",
      "Social                     0.000000e+00\n",
      "Education                  0.000000e+00\n",
      "Entertainment              0.000000e+00\n",
      "Action                     0.000000e+00\n",
      "Card                       0.000000e+00\n",
      "Strategy                   0.000000e+00\n",
      "Business                   0.000000e+00\n",
      "Books & Reference          0.000000e+00\n",
      "News & Magazines           0.000000e+00\n",
      "Weather                    0.000000e+00\n",
      "Pretend Play               1.754386e-02\n",
      "Creativity                 8.771930e-02\n",
      "dtype: float64\n",
      "AUTO_AND_VEHICLES\n",
      "Rating                          4.200000\n",
      "Reviews                     17408.017544\n",
      "Size                           21.810544\n",
      "Installs                   767842.105263\n",
      "Price                           0.000000\n",
      "Art & Design                    0.000000\n",
      "Tools                           0.000000\n",
      "Role Playing                    0.000000\n",
      "Medical                         0.000000\n",
      "Casual                          0.000000\n",
      "Travel & Local                  0.000000\n",
      "House & Home                    0.000000\n",
      "Board                           0.000000\n",
      "Simulation                      0.000000\n",
      "Photography                     0.000000\n",
      "Food & Drink                    0.000000\n",
      "Finance                         0.000000\n",
      "Video Players & Editors         0.000000\n",
      "Maps & Navigation               0.000000\n",
      "Trivia                          0.000000\n",
      "Libraries & Demo                0.000000\n",
      "Arcade                          0.000000\n",
      "Health & Fitness                0.000000\n",
      "Lifestyle                       0.000000\n",
      "Auto & Vehicles                 1.000000\n",
      "Dating                          0.000000\n",
      "Comics                          0.000000\n",
      "Puzzle                          0.000000\n",
      "Music & Video                   0.000000\n",
      "Beauty                          0.000000\n",
      "Social                          0.000000\n",
      "Education                       0.000000\n",
      "Entertainment                   0.000000\n",
      "Action                          0.000000\n",
      "Card                            0.000000\n",
      "Strategy                        0.000000\n",
      "Business                        0.000000\n",
      "Books & Reference               0.000000\n",
      "News & Magazines                0.000000\n",
      "Weather                         0.000000\n",
      "Pretend Play                    0.000000\n",
      "Creativity                      0.000000\n",
      "dtype: float64\n",
      "BEAUTY\n",
      "Rating                          4.333333\n",
      "Reviews                      5628.333333\n",
      "Size                           16.721212\n",
      "Installs                   406363.636364\n",
      "Price                           0.000000\n",
      "Art & Design                    0.000000\n",
      "Tools                           0.000000\n",
      "Role Playing                    0.000000\n",
      "Medical                         0.000000\n",
      "Casual                          0.000000\n",
      "Travel & Local                  0.000000\n",
      "House & Home                    0.000000\n",
      "Board                           0.000000\n",
      "Simulation                      0.000000\n",
      "Photography                     0.000000\n",
      "Food & Drink                    0.000000\n",
      "Finance                         0.000000\n",
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      "Music & Video              0.000000e+00\n",
      "Beauty                     0.000000e+00\n",
      "Social                     0.000000e+00\n",
      "Education                  0.000000e+00\n",
      "Entertainment              0.000000e+00\n",
      "Action                     0.000000e+00\n",
      "Card                       0.000000e+00\n",
      "Strategy                   0.000000e+00\n",
      "Business                   0.000000e+00\n",
      "Books & Reference          0.000000e+00\n",
      "News & Magazines           0.000000e+00\n",
      "Weather                    0.000000e+00\n",
      "Pretend Play               0.000000e+00\n",
      "Creativity                 0.000000e+00\n",
      "dtype: float64\n",
      "PERSONALIZATION\n",
      "Rating                     4.308434e+00\n",
      "Reviews                    1.403628e+05\n",
      "Size                       1.147030e+01\n",
      "Installs                   4.008537e+06\n",
      "Price                      4.173896e-01\n",
      "Art & Design               0.000000e+00\n",
      "Tools                      0.000000e+00\n",
      "Role Playing               0.000000e+00\n",
      "Medical                    0.000000e+00\n",
      "Casual                     0.000000e+00\n",
      "Travel & Local             0.000000e+00\n",
      "House & Home               0.000000e+00\n",
      "Board                      0.000000e+00\n",
      "Simulation                 0.000000e+00\n",
      "Photography                0.000000e+00\n",
      "Food & Drink               0.000000e+00\n",
      "Finance                    0.000000e+00\n",
      "Video Players & Editors    0.000000e+00\n",
      "Maps & Navigation          0.000000e+00\n",
      "Trivia                     0.000000e+00\n",
      "Libraries & Demo           0.000000e+00\n",
      "Arcade                     0.000000e+00\n",
      "Health & Fitness           0.000000e+00\n",
      "Lifestyle                  0.000000e+00\n",
      "Auto & Vehicles            0.000000e+00\n",
      "Dating                     0.000000e+00\n",
      "Comics                     0.000000e+00\n",
      "Puzzle                     0.000000e+00\n",
      "Music & Video              0.000000e+00\n",
      "Beauty                     0.000000e+00\n",
      "Social                     0.000000e+00\n",
      "Education                  0.000000e+00\n",
      "Entertainment              0.000000e+00\n",
      "Action                     0.000000e+00\n",
      "Card                       0.000000e+00\n",
      "Strategy                   0.000000e+00\n",
      "Business                   0.000000e+00\n",
      "Books & Reference          0.000000e+00\n",
      "News & Magazines           0.000000e+00\n",
      "Weather                    0.000000e+00\n",
      "Pretend Play               0.000000e+00\n",
      "Creativity                 0.000000e+00\n",
      "dtype: float64\n",
      "PRODUCTIVITY\n",
      "Rating                     4.145755e+00\n",
      "Reviews                    2.055903e+05\n",
      "Size                       1.290291e+01\n",
      "Installs                   1.293536e+07\n",
      "Price                      2.075000e-01\n",
      "Art & Design               0.000000e+00\n",
      "Tools                      0.000000e+00\n",
      "Role Playing               0.000000e+00\n",
      "Medical                    0.000000e+00\n",
      "Casual                     0.000000e+00\n",
      "Travel & Local             0.000000e+00\n",
      "House & Home               0.000000e+00\n",
      "Board                      0.000000e+00\n",
      "Simulation                 0.000000e+00\n",
      "Photography                0.000000e+00\n",
      "Food & Drink               0.000000e+00\n",
      "Finance                    0.000000e+00\n",
      "Video Players & Editors    0.000000e+00\n",
      "Maps & Navigation          0.000000e+00\n",
      "Trivia                     0.000000e+00\n",
      "Libraries & Demo           0.000000e+00\n",
      "Arcade                     0.000000e+00\n",
      "Health & Fitness           0.000000e+00\n",
      "Lifestyle                  0.000000e+00\n",
      "Auto & Vehicles            0.000000e+00\n",
      "Dating                     0.000000e+00\n",
      "Comics                     0.000000e+00\n",
      "Puzzle                     0.000000e+00\n",
      "Music & Video              0.000000e+00\n",
      "Beauty                     0.000000e+00\n",
      "Social                     0.000000e+00\n",
      "Education                  0.000000e+00\n",
      "Entertainment              0.000000e+00\n",
      "Action                     0.000000e+00\n",
      "Card                       0.000000e+00\n",
      "Strategy                   0.000000e+00\n",
      "Business                   0.000000e+00\n",
      "Books & Reference          0.000000e+00\n",
      "News & Magazines           0.000000e+00\n",
      "Weather                    0.000000e+00\n",
      "Pretend Play               0.000000e+00\n",
      "Creativity                 0.000000e+00\n",
      "dtype: float64\n",
      "PARENTING\n",
      "Rating                          4.332558\n",
      "Reviews                     20464.581395\n",
      "Size                           21.453488\n",
      "Installs                   548046.511628\n",
      "Price                           0.116047\n",
      "Art & Design                    0.000000\n",
      "Tools                           0.000000\n",
      "Role Playing                    0.000000\n",
      "Medical                         0.000000\n",
      "Casual                          0.000000\n",
      "Travel & Local                  0.000000\n",
      "House & Home                    0.000000\n",
      "Board                           0.000000\n",
      "Simulation                      0.000000\n",
      "Photography                     0.000000\n",
      "Food & Drink                    0.000000\n",
      "Finance                         0.000000\n",
      "Video Players & Editors         0.000000\n",
      "Maps & Navigation               0.000000\n",
      "Trivia                          0.000000\n",
      "Libraries & Demo                0.000000\n",
      "Arcade                          0.000000\n",
      "Health & Fitness                0.000000\n",
      "Lifestyle                       0.000000\n",
      "Auto & Vehicles                 0.000000\n",
      "Dating                          0.000000\n",
      "Comics                          0.000000\n",
      "Puzzle                          0.000000\n",
      "Music & Video                   0.116279\n",
      "Beauty                          0.000000\n",
      "Social                          0.000000\n",
      "Education                       0.000000\n",
      "Entertainment                   0.000000\n",
      "Action                          0.000000\n",
      "Card                            0.000000\n",
      "Strategy                        0.000000\n",
      "Business                        0.000000\n",
      "Books & Reference               0.000000\n",
      "News & Magazines                0.000000\n",
      "Weather                         0.000000\n",
      "Pretend Play                    0.000000\n",
      "Creativity                      0.000000\n",
      "dtype: float64\n",
      "WEATHER\n",
      "Rating                     4.241176e+00\n",
      "Reviews                    7.639225e+04\n",
      "Size                       1.340553e+01\n",
      "Installs                   2.731304e+06\n",
      "Price                      4.596078e-01\n",
      "Art & Design               0.000000e+00\n",
      "Tools                      0.000000e+00\n",
      "Role Playing               0.000000e+00\n",
      "Medical                    0.000000e+00\n",
      "Casual                     0.000000e+00\n",
      "Travel & Local             0.000000e+00\n",
      "House & Home               0.000000e+00\n",
      "Board                      0.000000e+00\n",
      "Simulation                 0.000000e+00\n",
      "Photography                0.000000e+00\n",
      "Food & Drink               0.000000e+00\n",
      "Finance                    0.000000e+00\n",
      "Video Players & Editors    0.000000e+00\n",
      "Maps & Navigation          0.000000e+00\n",
      "Trivia                     0.000000e+00\n",
      "Libraries & Demo           0.000000e+00\n",
      "Arcade                     0.000000e+00\n",
      "Health & Fitness           0.000000e+00\n",
      "Lifestyle                  0.000000e+00\n",
      "Auto & Vehicles            0.000000e+00\n",
      "Dating                     0.000000e+00\n",
      "Comics                     0.000000e+00\n",
      "Puzzle                     0.000000e+00\n",
      "Music & Video              0.000000e+00\n",
      "Beauty                     0.000000e+00\n",
      "Social                     0.000000e+00\n",
      "Education                  0.000000e+00\n",
      "Entertainment              0.000000e+00\n",
      "Action                     0.000000e+00\n",
      "Card                       0.000000e+00\n",
      "Strategy                   0.000000e+00\n",
      "Business                   0.000000e+00\n",
      "Books & Reference          0.000000e+00\n",
      "News & Magazines           0.000000e+00\n",
      "Weather                    1.000000e+00\n",
      "Pretend Play               0.000000e+00\n",
      "Creativity                 0.000000e+00\n",
      "dtype: float64\n",
      "VIDEO_PLAYERS\n",
      "Rating                     4.016667e+00\n",
      "Reviews                    2.110560e+05\n",
      "Size                       1.630070e+01\n",
      "Installs                   7.822462e+06\n",
      "Price                      8.684211e-03\n",
      "Art & Design               0.000000e+00\n",
      "Tools                      0.000000e+00\n",
      "Role Playing               0.000000e+00\n",
      "Medical                    0.000000e+00\n",
      "Casual                     0.000000e+00\n",
      "Travel & Local             0.000000e+00\n",
      "House & Home               0.000000e+00\n",
      "Board                      0.000000e+00\n",
      "Simulation                 0.000000e+00\n",
      "Photography                0.000000e+00\n",
      "Food & Drink               0.000000e+00\n",
      "Finance                    0.000000e+00\n",
      "Video Players & Editors    1.000000e+00\n",
      "Maps & Navigation          0.000000e+00\n",
      "Trivia                     0.000000e+00\n",
      "Libraries & Demo           0.000000e+00\n",
      "Arcade                     0.000000e+00\n",
      "Health & Fitness           0.000000e+00\n",
      "Lifestyle                  0.000000e+00\n",
      "Auto & Vehicles            0.000000e+00\n",
      "Dating                     0.000000e+00\n",
      "Comics                     0.000000e+00\n",
      "Puzzle                     0.000000e+00\n",
      "Music & Video              0.000000e+00\n",
      "Beauty                     0.000000e+00\n",
      "Social                     0.000000e+00\n",
      "Education                  0.000000e+00\n",
      "Entertainment              0.000000e+00\n",
      "Action                     0.000000e+00\n",
      "Card                       0.000000e+00\n",
      "Strategy                   0.000000e+00\n",
      "Business                   0.000000e+00\n",
      "Books & Reference          0.000000e+00\n",
      "News & Magazines           0.000000e+00\n",
      "Weather                    0.000000e+00\n",
      "Pretend Play               0.000000e+00\n",
      "Creativity                 8.771930e-03\n",
      "dtype: float64\n",
      "NEWS_AND_MAGAZINES\n",
      "Rating                     4.119108e+00\n",
      "Reviews                    6.272116e+04\n",
      "Size                       1.355546e+01\n",
      "Installs                   2.708214e+07\n",
      "Price                      2.535032e-02\n",
      "Art & Design               0.000000e+00\n",
      "Tools                      0.000000e+00\n",
      "Role Playing               0.000000e+00\n",
      "Medical                    0.000000e+00\n",
      "Casual                     0.000000e+00\n",
      "Travel & Local             0.000000e+00\n",
      "House & Home               0.000000e+00\n",
      "Board                      0.000000e+00\n",
      "Simulation                 0.000000e+00\n",
      "Photography                0.000000e+00\n",
      "Food & Drink               0.000000e+00\n",
      "Finance                    0.000000e+00\n",
      "Video Players & Editors    0.000000e+00\n",
      "Maps & Navigation          0.000000e+00\n",
      "Trivia                     0.000000e+00\n",
      "Libraries & Demo           0.000000e+00\n",
      "Arcade                     0.000000e+00\n",
      "Health & Fitness           0.000000e+00\n",
      "Lifestyle                  0.000000e+00\n",
      "Auto & Vehicles            0.000000e+00\n",
      "Dating                     0.000000e+00\n",
      "Comics                     0.000000e+00\n",
      "Puzzle                     0.000000e+00\n",
      "Music & Video              0.000000e+00\n",
      "Beauty                     0.000000e+00\n",
      "Social                     0.000000e+00\n",
      "Education                  0.000000e+00\n",
      "Entertainment              0.000000e+00\n",
      "Action                     0.000000e+00\n",
      "Card                       0.000000e+00\n",
      "Strategy                   0.000000e+00\n",
      "Business                   0.000000e+00\n",
      "Books & Reference          0.000000e+00\n",
      "News & Magazines           1.000000e+00\n",
      "Weather                    0.000000e+00\n",
      "Pretend Play               0.000000e+00\n",
      "Creativity                 0.000000e+00\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "MAPS_AND_NAVIGATION\n",
      "Rating                     4.020690e+00\n",
      "Reviews                    4.213691e+04\n",
      "Size                       1.714414e+01\n",
      "Installs                   2.011634e+06\n",
      "Price                      5.712644e-02\n",
      "Art & Design               0.000000e+00\n",
      "Tools                      0.000000e+00\n",
      "Role Playing               0.000000e+00\n",
      "Medical                    0.000000e+00\n",
      "Casual                     0.000000e+00\n",
      "Travel & Local             0.000000e+00\n",
      "House & Home               0.000000e+00\n",
      "Board                      0.000000e+00\n",
      "Simulation                 0.000000e+00\n",
      "Photography                0.000000e+00\n",
      "Food & Drink               0.000000e+00\n",
      "Finance                    0.000000e+00\n",
      "Video Players & Editors    0.000000e+00\n",
      "Maps & Navigation          1.000000e+00\n",
      "Trivia                     0.000000e+00\n",
      "Libraries & Demo           0.000000e+00\n",
      "Arcade                     0.000000e+00\n",
      "Health & Fitness           0.000000e+00\n",
      "Lifestyle                  0.000000e+00\n",
      "Auto & Vehicles            0.000000e+00\n",
      "Dating                     0.000000e+00\n",
      "Comics                     0.000000e+00\n",
      "Puzzle                     0.000000e+00\n",
      "Music & Video              0.000000e+00\n",
      "Beauty                     0.000000e+00\n",
      "Social                     0.000000e+00\n",
      "Education                  0.000000e+00\n",
      "Entertainment              0.000000e+00\n",
      "Action                     0.000000e+00\n",
      "Card                       0.000000e+00\n",
      "Strategy                   0.000000e+00\n",
      "Business                   0.000000e+00\n",
      "Books & Reference          0.000000e+00\n",
      "News & Magazines           0.000000e+00\n",
      "Weather                    0.000000e+00\n",
      "Pretend Play               0.000000e+00\n",
      "Creativity                 0.000000e+00\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "categories = ['ART_AND_DESIGN', 'AUTO_AND_VEHICLES', 'BEAUTY', 'BOOKS_AND_REFERENCE',\n",
    " 'BUSINESS', 'COMICS', 'COMMUNICATION', 'DATING', 'EDUCATION', 'ENTERTAINMENT',\n",
    " 'EVENTS', 'FINANCE', 'FOOD_AND_DRINK' ,'HEALTH_AND_FITNESS', 'HOUSE_AND_HOME',\n",
    " 'LIBRARIES_AND_DEMO', 'LIFESTYLE', 'GAME', 'FAMILY', 'MEDICAL', 'SOCIAL',\n",
    " 'SHOPPING', 'PHOTOGRAPHY', 'SPORTS', 'TRAVEL_AND_LOCAL', 'TOOLS',\n",
    " 'PERSONALIZATION', 'PRODUCTIVITY', 'PARENTING', 'WEATHER', 'VIDEO_PLAYERS',\n",
    " 'NEWS_AND_MAGAZINES', 'MAPS_AND_NAVIGATION']\n",
    "\n",
    "for category in categories:\n",
    "    exec('comment_{} = merged_df[merged_df[\"Category\"] == category]'.format(category))\n",
    "    \n",
    "for category in categories:\n",
    "    exec('df_{} = df[df[\"Category\"] == category]'.format(category))\n",
    "    print(category)\n",
    "    exec(\"print(np.mean(df_{}))\".format(category))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "stop = stopwords.words('english')\n",
    "stop = stop + ['app', 'APP' ,'ap', 'App', 'apps', 'application', 'browser', 'website', 'websites', 'chrome', 'click', 'web', 'ip', 'address',\n",
    "            'files', 'android', 'browse', 'service', 'use', 'one', 'download', 'email', 'Launcher']\n",
    "text = \" \".join(review for review in comment_WEATHER.Translated_Review if review not in stop)\n",
    "wordcloud = WordCloud(background_color=\"white\", max_words = 20).generate(text)\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "#X_train = comments.loc[:4999, 'Translated_Review'].values\n",
    "#y_train = comments.loc[:4999, 'Sentiment'].values\n",
    "#X_test = comments.loc[5000:, 'Translated_Review'].values\n",
    "#y_test = comments.loc[5000:, 'Sentiment'].values\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import re\n",
    "#import nltk\n",
    "#from nltk.corpus import stopwords\n",
    "#from nltk.stem.porter import PorterStemmer\n",
    "#text_list = []\n",
    "#for i in comments.Translated_Review :\n",
    " #   review = re.sub('[^a-zA-Z]', ' ', i)\n",
    "  #  review = review.lower() \n",
    "   # review = review.split()\n",
    "    #ps = PorterStemmer()\n",
    "    #review = [ps.stem(word) for word in review if not word in set(stopwords.words('english'))]\n",
    "    #review = ' '.join(review) \n",
    "    #text_list.append(review)  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [],
   "source": [
    "#text_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {},
   "outputs": [],
   "source": [
    "#from sklearn.feature_extraction.text import CountVectorizer\n",
    "#cv = CountVectorizer(max_features = 1000)\n",
    "#cv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {},
   "outputs": [],
   "source": [
    "#x = cv.fit_transform(text_list).toarray()\n",
    "#y = comments.iloc[:, 1].values\n",
    "#x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {},
   "outputs": [],
   "source": [
    "#X_train, X_test, y_train, y_test = train_test_split(x, y, test_size = 0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {},
   "outputs": [],
   "source": [
    "#lr_c=LogisticRegression()\n",
    "#lr_c.fit(X_train,y_train)\n",
    "#lr_pred=lr_c.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "metadata": {},
   "outputs": [],
   "source": [
    "#accuracy_score(y_test, lr_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [],
   "source": [
    "X=comments[\"Translated_Review\"]\n",
    "y=comments[\"Sentiment\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.2,random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(29941, 19340) (7486, 19340)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.feature_extraction.text import TfidfTransformer\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "\n",
    "vectorizer = TfidfVectorizer()\n",
    "train_vectors = vectorizer.fit_transform(X_train)\n",
    "test_vectors = vectorizer.transform(X_test)\n",
    "print(train_vectors.shape, test_vectors.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.naive_bayes import MultinomialNB\n",
    "clf = MultinomialNB().fit(train_vectors, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6840769436281058\n"
     ]
    }
   ],
   "source": [
    "from  sklearn.metrics  import accuracy_score\n",
    "predicted = clf.predict(test_vectors)\n",
    "print(accuracy_score(y_test,predicted))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(7090, 52)\n"
     ]
    }
   ],
   "source": [
    "df.dropna(inplace=True)\n",
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 246,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().values.any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.4    808\n",
       "4.5    800\n",
       "4.3    798\n",
       "4.2    714\n",
       "4.6    622\n",
       "4.1    581\n",
       "4.0    437\n",
       "4.7    395\n",
       "3.9    326\n",
       "3.8    255\n",
       "4.8    187\n",
       "3.7    180\n",
       "3.6    144\n",
       "3.5    141\n",
       "3.4    104\n",
       "3.3     93\n",
       "4.9     80\n",
       "3.1     61\n",
       "3.2     53\n",
       "5.0     47\n",
       "3.0     44\n",
       "2.9     41\n",
       "2.8     36\n",
       "2.6     20\n",
       "2.7     18\n",
       "2.4     17\n",
       "2.5     17\n",
       "2.3     13\n",
       "2.2     11\n",
       "1.9     11\n",
       "2.1      8\n",
       "2.0      8\n",
       "1.7      6\n",
       "1.8      6\n",
       "1.4      3\n",
       "1.6      3\n",
       "1.5      1\n",
       "1.2      1\n",
       "Name: Rating, dtype: int64"
      ]
     },
     "execution_count": 247,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Rating\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "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>...</th>\n",
       "      <th>Entertainment</th>\n",
       "      <th>Action</th>\n",
       "      <th>Card</th>\n",
       "      <th>Strategy</th>\n",
       "      <th>Business</th>\n",
       "      <th>Books &amp; Reference</th>\n",
       "      <th>News &amp; Magazines</th>\n",
       "      <th>Weather</th>\n",
       "      <th>Pretend Play</th>\n",
       "      <th>Creativity</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>19.0</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>14.0</td>\n",
       "      <td>500000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510</td>\n",
       "      <td>8.7</td>\n",
       "      <td>5000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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>25.0</td>\n",
       "      <td>50000000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967</td>\n",
       "      <td>2.8</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 52 columns</p>\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  19.0     10000.0  Free    0.0       Everyone   \n",
       "1      967  14.0    500000.0  Free    0.0       Everyone   \n",
       "2    87510   8.7   5000000.0  Free    0.0       Everyone   \n",
       "3   215644  25.0  50000000.0  Free    0.0           Teen   \n",
       "4      967   2.8    100000.0  Free    0.0       Everyone   \n",
       "\n",
       "                      Genres  ... Entertainment Action Card Strategy Business  \\\n",
       "0               Art & Design  ...             0      0    0        0        0   \n",
       "1  Art & Design;Pretend Play  ...             0      0    0        0        0   \n",
       "2               Art & Design  ...             0      0    0        0        0   \n",
       "3               Art & Design  ...             0      0    0        0        0   \n",
       "4    Art & Design;Creativity  ...             0      0    0        0        0   \n",
       "\n",
       "   Books & Reference  News & Magazines  Weather  Pretend Play  Creativity  \n",
       "0                  0                 0        0             0           0  \n",
       "1                  0                 0        0             1           0  \n",
       "2                  0                 0        0             0           0  \n",
       "3                  0                 0        0             0           0  \n",
       "4                  0                 0        0             0           1  \n",
       "\n",
       "[5 rows x 52 columns]"
      ]
     },
     "execution_count": 248,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "metadata": {},
   "outputs": [],
   "source": [
    "#catgry=pd.get_dummies(df['Category'],prefix='catg',drop_first=True)\n",
    "#typ=pd.get_dummies(df['Type'],prefix='typ',drop_first=True)\n",
    "#cr=pd.get_dummies(df['Content Rating'],prefix='cr',drop_first=True)\n",
    "#frames=[df,catgry,typ,cr]\n",
    "#df=pd.concat(frames,axis=1)\n",
    "##df.drop(['Category','Installs','Type','Content Rating'],axis=1,inplace=True)\n",
    "#"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(['App','Category','Type','Genres','Last Updated','Content Rating','Current Ver','Android Ver',\"Pri_Genres\",\"Sec_Genres\",'Tools'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 7090 entries, 0 to 10840\n",
      "Data columns (total 41 columns):\n",
      "Rating                     7090 non-null float64\n",
      "Reviews                    7090 non-null int64\n",
      "Size                       7090 non-null float64\n",
      "Installs                   7090 non-null float64\n",
      "Price                      7090 non-null float64\n",
      "Art & Design               7090 non-null int64\n",
      "Role Playing               7090 non-null int64\n",
      "Medical                    7090 non-null int64\n",
      "Casual                     7090 non-null int64\n",
      "Travel & Local             7090 non-null int64\n",
      "House & Home               7090 non-null int64\n",
      "Board                      7090 non-null int64\n",
      "Simulation                 7090 non-null int64\n",
      "Photography                7090 non-null int64\n",
      "Food & Drink               7090 non-null int64\n",
      "Finance                    7090 non-null int64\n",
      "Video Players & Editors    7090 non-null int64\n",
      "Maps & Navigation          7090 non-null int64\n",
      "Trivia                     7090 non-null int64\n",
      "Libraries & Demo           7090 non-null int64\n",
      "Arcade                     7090 non-null int64\n",
      "Health & Fitness           7090 non-null int64\n",
      "Lifestyle                  7090 non-null int64\n",
      "Auto & Vehicles            7090 non-null int64\n",
      "Dating                     7090 non-null int64\n",
      "Comics                     7090 non-null int64\n",
      "Puzzle                     7090 non-null int64\n",
      "Music & Video              7090 non-null int64\n",
      "Beauty                     7090 non-null int64\n",
      "Social                     7090 non-null int64\n",
      "Education                  7090 non-null int64\n",
      "Entertainment              7090 non-null int64\n",
      "Action                     7090 non-null int64\n",
      "Card                       7090 non-null int64\n",
      "Strategy                   7090 non-null int64\n",
      "Business                   7090 non-null int64\n",
      "Books & Reference          7090 non-null int64\n",
      "News & Magazines           7090 non-null int64\n",
      "Weather                    7090 non-null int64\n",
      "Pretend Play               7090 non-null int64\n",
      "Creativity                 7090 non-null int64\n",
      "dtypes: float64(4), int64(37)\n",
      "memory usage: 2.3 MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {},
   "outputs": [],
   "source": [
    "#\n",
    "X=df.drop('Rating',axis=1)\n",
    "y=df['Rating'].values.astype(\"int64\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {},
   "outputs": [],
   "source": [
    "#LogisticRegression\n",
    "lr_c=LogisticRegression()\n",
    "lr_c.fit(X_train,y_train)\n",
    "lr_pred=lr_c.predict(X_test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[   0,    0,    0,    5,    0],\n",
       "       [   0,    0,    2,   33,    0],\n",
       "       [   0,    0,    5,  283,    0],\n",
       "       [   0,    0,    7, 1072,    0],\n",
       "       [   0,    0,    0,   11,    0]], dtype=int64)"
      ]
     },
     "execution_count": 255,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr_cm=confusion_matrix(y_test,lr_pred)\n",
    "lr_cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7595204513399154"
      ]
     },
     "execution_count": 256,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr_ac=accuracy_score(y_test, lr_pred)\n",
    "lr_ac"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           1       0.00      0.00      0.00         5\n",
      "           2       0.00      0.00      0.00        35\n",
      "           3       0.36      0.02      0.03       288\n",
      "           4       0.76      0.99      0.86      1079\n",
      "           5       0.00      0.00      0.00        11\n",
      "\n",
      "   micro avg       0.76      0.76      0.76      1418\n",
      "   macro avg       0.22      0.20      0.18      1418\n",
      "weighted avg       0.65      0.76      0.66      1418\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,lr_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "plt.title(\"lr_cm\")\n",
    "sns.heatmap(lr_cm,annot=True,cmap=\"Blues\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7595204513399154"
      ]
     },
     "execution_count": 259,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# DecisionTree \n",
    "dtree_c=DecisionTreeRegressor(criterion='mae', max_depth=5, min_samples_leaf=5,random_state=42)\n",
    "dtree_c.fit(X_train,y_train)\n",
    "dtree_pred=dtree_c.predict(X_test)\n",
    "dtree_cm=confusion_matrix(y_test,dtree_pred)\n",
    "dtree_ac=accuracy_score(y_test,dtree_pred)\n",
    "dtree_ac"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           1       0.00      0.00      0.00         5\n",
      "           2       0.00      0.00      0.00        35\n",
      "           3       0.22      0.01      0.01       288\n",
      "           4       0.76      0.99      0.86      1079\n",
      "           5       1.00      0.18      0.31        11\n",
      "\n",
      "   micro avg       0.76      0.76      0.76      1418\n",
      "   macro avg       0.40      0.24      0.24      1418\n",
      "weighted avg       0.63      0.76      0.66      1418\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,dtree_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x22d39e83400>"
      ]
     },
     "execution_count": 261,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "plt.title(\"dtree_cm\")\n",
    "sns.heatmap(dtree_cm,annot=True,fmt=\"d\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,\n",
       "  decision_function_shape='ovr', degree=3, gamma='auto_deprecated',\n",
       "  kernel='rbf', max_iter=-1, probability=False, random_state=None,\n",
       "  shrinking=True, tol=0.001, verbose=False)"
      ]
     },
     "execution_count": 262,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#SVM regressor\n",
    "svc_r=SVC()\n",
    "svc_r.fit(X_train,y_train)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7623413258110014"
      ]
     },
     "execution_count": 263,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "svr_pred=svc_r.predict(X_test)\n",
    "svr_cm=confusion_matrix(y_test,svr_pred)\n",
    "svr_ac=accuracy_score(y_test, svr_pred)\n",
    "svr_ac"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           1       1.00      0.20      0.33         5\n",
      "           2       0.33      0.03      0.05        35\n",
      "           3       0.48      0.09      0.15       288\n",
      "           4       0.77      0.98      0.86      1079\n",
      "           5       0.00      0.00      0.00        11\n",
      "\n",
      "   micro avg       0.76      0.76      0.76      1418\n",
      "   macro avg       0.52      0.26      0.28      1418\n",
      "weighted avg       0.70      0.76      0.69      1418\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,svr_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x22d2e5f7cf8>"
      ]
     },
     "execution_count": 265,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "plt.title(\"svm_cm\")\n",
    "sns.heatmap(svr_cm,annot=True,cmap=\"Oranges\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7651622002820875"
      ]
     },
     "execution_count": 266,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#RandomForest\n",
    "rdf_c=RandomForestClassifier(n_estimators = 200, n_jobs=-1)\n",
    "rdf_c.fit(X_train,y_train)\n",
    "rdf_pred=rdf_c.predict(X_test)\n",
    "rdf_cm=confusion_matrix(y_test,rdf_pred)\n",
    "rdf_ac=accuracy_score(y_test,rdf_pred)\n",
    "rdf_ac"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           1       0.25      0.20      0.22         5\n",
      "           2       0.40      0.11      0.18        35\n",
      "           3       0.49      0.27      0.35       288\n",
      "           4       0.81      0.93      0.86      1079\n",
      "           5       1.00      0.09      0.17        11\n",
      "\n",
      "   micro avg       0.77      0.77      0.77      1418\n",
      "   macro avg       0.59      0.32      0.36      1418\n",
      "weighted avg       0.73      0.77      0.73      1418\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,rdf_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x22d2e64ec88>"
      ]
     },
     "execution_count": 268,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "plt.title(\"rdf_cm\")\n",
    "sns.heatmap(rdf_cm,annot=True,cmap=\"Blues\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Model Accuracy')"
      ]
     },
     "execution_count": 269,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model_accuracy = pd.Series(data=[lr_ac,dtree_ac,svr_ac,rdf_ac], \n",
    "        index=['Logistic_Regression','DecisionTree','SVM','RandomForest'])\n",
    "fig= plt.figure(figsize=(8,8))\n",
    "model_accuracy.sort_values().plot.barh()\n",
    "plt.title('Model Accuracy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "metadata": {},
   "outputs": [],
   "source": [
    "#rf_params={\"max_depth\":[2,5,8,10],\"max_features\":[2,5,8],\"n_estimators\":[10,500,1000],\"min_samples_split\":[2,5,10]}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "metadata": {},
   "outputs": [],
   "source": [
    "#rf_cv_model=GridSearchCV(rdf_c,rf_params,cv=10,n_jobs=-1,verbose=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "metadata": {},
   "outputs": [],
   "source": [
    "#rf_cv_model.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {},
   "outputs": [],
   "source": [
    "#rf_cv_model.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "metadata": {},
   "outputs": [],
   "source": [
    "#rf_tuned=RandomForestClassifier(max_depth=10,max_features=8,min_samples_split=2,n_estimators=500)\n",
    "#rf_tuned.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {},
   "outputs": [],
   "source": [
    "#y_pred=rf_tuned.predict(X_test)\n",
    "#accuracy_score(y_test,y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "metadata": {},
   "outputs": [],
   "source": [
    "#print(classification_report(y_test,y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 399.5, 199.5, -0.5)"
      ]
     },
     "execution_count": 277,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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CEIJt3e3Nz72FHAcG+jhyZYSkbbGhrQWl4eLULBenZknZNrvXdXHo0hC5hMNgWwvjxTJXpueoBgHHh8fY1NHK68PjXJqepSuXIeXabOtqx7hFVsNaEMJAiCQJ953UnMeo1b8MQBCeQutS7JG9hXd6owHgOBbr1tBAVvv90s+r1W2Ykk1bum6+gdcgjK4ShpduWM4xlmhiS5phrLJll2vY1mwRb11NYWIu2U4bq9jOpUw0bLSn0FrRkf4wteACZf8YpszhmH340Tgz1W8AgqxzAAGU/WMo5VP2jiGFxXzteUI1j2104DY1trWh1RT72i4iZA7lf4Pdre3s7XkEaXQvL6c179y4AUMsskV+54nHl5X5wPbtfGD79ubnuzo7APjgju1cmZtDIPjxu3ZwbnqGyUp1hdANollMmcOLRpEigSnzNxxf5bLHzEwZwzTQapHBEwQRiYTN1aszdHRkCSPFpo0da/eD1lTrAVdGZpidryKEoLMtw0BvS3Puaa2ZmC4xOlmkWvMByGUTbOhrw3UWBXoYKYbH5hibKhKEEY5t0pZP0duVxzQNJqZKjEzOs7G/jVx6UQhPTJe4MjrLpoF2cmlzxTy8XSydt9yR5roWB+7bwJGXL1L7ex8hBb3rWtizb4AHH9nKoRfOMXRlBhUpNm3tjjXlu/v58heP0N1TYGRohu6e1VdcyzT4qXvvXnbt4MZ+Dm7sB+DC5AxyAgbbCkRKUar77F7Xze51ywf0Lz5677LPn3jsvmWfr73HbYFwsKwdTaELCqWKt/8+P1RQ+N5L/BAwEVfANtppT39g2TXH7CafeHDZtWRuucmgK/PRZZ/dTP8t3VeINNLsAx0grV0Iox0hVy5qQgjMH2DSt6VSDLYUmKnWaEsm2djasqJMwlqP1iFSOEhxc0yh+WKNs+fGCUNFSyGJ0mBZBkNDM2zf1kO16hGEEZ4XLPH+L4fWUPMCnv726xx67TJCxBQ6y5T8xHv2cs/dAwgRa9BfeuY4py6MIwTUvRA/CPnxd+/h8YNbMYy47tdODfOFbxzDD8JY2w4VG9a18pGnDtCSS3Lm0gR/8YUX+fiHDvLAvg0IIQjDiO8ePsfXnzvFb/78O5cJ49uN2yZ0pRTce/+mJn0onXF5z/t3U2hJ0dmVI5tNMDIyB0A+n0RKyYOPbKOlNcPUZBHTMMhmXaSUPPnUbo6/dhXDkLzz3TsptKSxnVvbygL05LPs7utmvu4hgHsH+9BaNTTwf1oIBEJc+0w31y6lawTBcXz/DSI1jlZlhDCRsoBpbsa27sYwut/UcypVIQhPEQSniaJhlC6DDhDYCJnBMDoxzQ1Y5lYMo4W1TCFaa7QuE4ZXiKIhwugqUXSVWv07zTJheJpi6fcRa3j4pciRTDyFbb8Fi94PCYTMIOSOpVfekvskLYt9PT1rt0MI0vbWW25DW2uazZti66ppxuwXQ0ry+ST5XBLLMkilHOB6Qkxz4twY33juFE8+vIO9O/oIo4i/+8ejfParR1jf10pHawYpBbu29rBnRx+FbBLPD/mbL7/CV549wSP3bGoyF7794mm8IORjH7yPdNJmvlQDBMmEjZSSwb5W2gtp3jg3yp7tfaSSDrPFKifPjbFtQyddbdlb2m3eKm6j0JVs3tpFyfe5PDdHdybDtj29zNXrtBom67Z00DKYxxSSjONwaGQIQwru3t2H0pp5z8MyJEKA52j2PriRjG1zbnYmNu8bN98LWisCXUdKzeauNEJkCbVPNZxkpDZPu7MZIQwi7QESQ1iYwrlt24eba2NIFI01P0tZQMq1bWgLjg4/OEa58kl8/xhKTaJUFfBZ4AJLWcA01pFIPEky8SGkLNzUc2kd4HkvUa5+miA4iVIzaF1Ga5/YwWLEhHWRQso8htGFY+8jmfgwprlxlXuEzBX/C75/GKVKaFWMBTiLjrMoGqFa+8KabTJkF7a18/+TQvdWUqa+lePurW6H61r09y+ydRbqyOViIdvaemN6pdbw/JEL5NIu7310B6kGo+Ed92/hDz/5DOcuT9LRGi/M9+xabrLZva2Pz33t1TgAqHF/KSWz83FQVX93C6Jneds627Ls2trLS0cvMvlgmWTCZnSyyND4HB96zx5G1TSnpirUlMe+wiaKQZVjcxc52LaN4eoMXuSzMdNNwb5V6miM22peGC2XODY+RtZxyTgOLwxdQWlNezLFaLmEa5rM1mq8d/MWhktFco5DqBRHx0e5Wpzn0YFBXhoeohaGTNeqvGfjJkqehxC3Nnh8VeVs6dsIJPVoHtfI0uFuQ+uIoj9KOZhAIMjavcz4lzCFzbrUPSSM28dbvB4WuKr1+jONKxLXeRfSaFlj+6XRukSl+neUK39GGF4mFl5mI0InTUxL84miq0TREH5wDM97iVzut7HMwRu0J6RS/SzF4u8RqSkgatRtI8SCoy1C6wCtp1FqijA8TxgO4dgPYJobV6uVKBohisbjj8JEijxKlYAFNorVoIut7qSURmszAmktKK2ohFMoHU86S7q4Rga5Buc5UgG1qEikY+dszNN0SZi5NaOUlI6ohLOoBtPClklcI73qTkJrjUbhRWVm/SGGqq8xXj/LvD+Kr6oIIUkaOQrOOvqTe+lL7sI1chjCumWhp3RINZxvPkvcrkyznkgH1MJ5rlRf5WrlKLP+ELWoCFpjGylyVhdtznq6EzvocDfhGtk3JXhvxqmltMKLSgSqjmbRIeXINKZwuTQ8zRvnRvn13/nb5lvwgwjbMqk2HOlBEHH05BDPHj7H5EyJWj1gYqZEperHbKRGnR9+ci9/+feH+IM//zbdHVkevWcz9+waoJBLIqXAMg32bOvle4fPceriOO2tGV4/PUI27bJtYxenqheZ9kvk7TQT9TnOlUd5fe4S97RsIW06vDF/maTp/HAI3ZLv45om3elYCNTDkN5sllAp5r069/Zu4tj4GGjIuy5p20YKgW0Y7GzvpDud4fWJcTqSKaqhz1y9Tsn3CKIIP4owpVwR1jfr1bkyP0c58NFoXMOkN2OhtSJltlKw16HR5O11+KpCqH08VcIQFgW7vzmRFiZcPQw5PDa0zHm3t7OHjG2/aY1kQUvV2kPrImE4TLH83wmji4CBZe0knfrnSLG60Ne6SrnyKYqlP0TrImBimXdh23uwrK1ImUdrjzA8j+e9RBCeResytfpXAEUh/3sYxrXc4UX4wesUS/8nkRoHLExzENvej21uQxqxE06pOcJoiDA4SxgNE0VjOPZeTHPTGv1iks/+x2si9RRzxf+G530HANveTSb9CUyjd42WWZjm2ltiAE+V+R+Xf4NSMAHAYOpe3tn1683w1Gsx4Z3n6yO/z4x/pXltMHUvT/X9J0y5ejTinD/CF67+NsUg3pnsLfwYD7R/DNtYSXsKdZ2h6mscnXmaoepRQu2vrI9hRmoneGPu67TY69iVfx+bMg+SttrXdAquhvlgnH8c/q+M1U8DsDP3JI91/QqWcKlFRS6VD/HK9OeY8i40BV0TAUzUz3K29D0AHu74RfYUPoApbi0i82agdMRk/TzPTf45VyqvohvUtLzdw/1tH2Vj6kFMQ7J1sJOf/9DBZVt70zTo7ogdfq+8cYU/+ItneOf9W3jvIztozad45qUz/P03ji2737ruAr/1S09w4twY33rhNH/1xUMceu0Sn/jph2lvySAEbF7fwbYNnXz38Dm2ru/glTeusntbL32deUxvPSfmr9DmZHENG1faDKQ6MIUk1Iq8lbql93Qtbih0p6oVDo0OkbRs7u3uJWktfymvjI1weX6W+3rW0ZfJUvTqXCnO05ZMsaW1jbFyiQ2FFhKmRcqyGcjlcUyT3kyWqWqVSGs6Uukm721XRyfnZ2bIOy4FN4FrmvhRhK8ikiy3gRZ9jz8+eoivXzxHNQwwpcQxDH774MPs6z5Azl6czAKBJV1SZuviSougJ7l861oOfP7o1UPMeXVGyyVm6jX+/sd/ht3tN+OxV3jec40t+TXQAUrHeRr84BXC8BJCpHHse0mnfx7bvnsNzSnC949QqXyyIXAlrvsusulfxbb3LfuN1hFheIFS+Y+p1r6I1iXq3veo1j5HOvXxNSPe6vVvoFQcU29ZW8hl/z2u89CqWqZSVYLgBH7wCqa5EcNYvV+EkCuoc1pHGDK/pEyGotdPJPpJ2RZ+FJGybQwpma3WYi6pktjXGd/x4tnXFLrFYIxA11Ytq7WiGs5QDMaXXa9Gc5SCCQpO36q/m/OHCRvcYEPYZKwOLLkyv4EXVThV/BaHpz/bbM/1oZnxr/D81CcZr59lf+tP0OYMLpvQS8fqjVCJZhrPOMfxua9ydPYfqITTN/ydJRK02H0/UBjzWlA6YqJ+jhenPsXVytGmwG2x+7i39SNsyjyIgcOGdW0cOzVMd0eWzrZFVsXSDe7rZ0ZwLIOP/ug9pBIOYaSYL9cJwmhFeUNKdm3pYdtgJ1/qOc5nvvQykzNl2ltiM4VjmxzY1c//87cvcPzsKMVyjT3be5FS0G7nuC+/DduM+6O1JYcfRYShoj/RQbfTStUPmK3WqIUBXZkM8hYUshv28lC5yB8dPUx3OsO21rYVQvcbl87x9LlT/JdHn+DRdYMc6IlJxALY2d7BzvaOZZpQvsEZ3NbWjmqUS9uLE7E7naErFavtQgju610eMbYUh0eH+NyZE9zd3sn7NmzFNU2qQcD21m7y9trhl9cbwDnb4bcPPkbJ9/j0iWP8w7lT1+uea6Co1r5wXTslgBB5kokfwbbvw3UONrTF1V+F1nUqtc8RRrFmZll3kc38S2xr9wohLYSBZW0mk/4lougqde9ZtK5Qq32NhPtuTHP9qvcIwytoHQsVy9yKY9+/5rZeyiSOcwDH2Q/EvN3A85CGJPACTNuMuZuRol6NF59kJoE0BNYq0nOyUmGyOsXm9lYmyhUyjs1src5osYRjGLQkE+xf14u5BmVPYtDqDHClcgSAYjiJr2qresojHTDrDxHq5cE29ajErD+8ttANRpoaa8LIkbbaVtQdqDon57/FoenPLBN0prBpcQZosddhGymUDqmEM0x7lygFE2g0gapxpvQsnirzWOevkLO6mvXXQp9K6NPmpG+406oEMw3T2vc5OvtFKuEMAI5MU7B7cYw0hjAJlEcpmKAYjKOIaHHWkbE6bruDWWvNjH+VF6c+xeXyyyhi4Zi1Ormv7aNsyjyAKR201jy0fyMvvXaZT/3DYR7ev5FkwmZ2vkql5vPYfZtxHYvWfIowUrx6YojOtixnL05w/PQwYbRIVStX6xw6dhnDkLQV4vKXh2dIJWxsa/kcu3trLy25JF/+znF6OnJsHogpbUGkODUxRTUISFgWtmE0EuxokrZN2fexDYOc6zBcLNKRTt9eoYturLZrRHBdC8HNG+TXaujN/v6NqQksKfng5h08tXHrbXFIWIbBjrYOIqV45srFH7i+1eERRiNYBCCc6+ZciKLhZbbfZOJHsKxt150gpjmIYx/E84+gdYkwuozvH1tT6CIsFjzWSs2h1PRNRMbF5YszZV759htk8imqpRq1Sh0hJNlCikxLqmFaEfRu7KS1e2WeBtOQFD2P2VqNqXKF2WqViXKFih+Qsi3yycR1dTwpJK324nMFqkYpmKTT3bIiDDfUHpP1C9c8g6YelZjzh9e8x5w/3BTUSTNPxmxf9r1GM1R9jdeWaZaCdmeQnfn30p3YQdLMYwobhSJQVcrhNKfmn+HE3NeJCFA65FL5ZY7aX+SRjl9sKgYCwYm5UdrdDDvyy6mO16ISTjNeP8ORmc9TCWdIGHm2Zh9lffoAKbMVUzhIIYl0iBeVmQ9GGaq+TsbqIGWupJD9oCiHkzw/+RfLBG7CyPFA+8fYlHlwiTlHsGWwg4998F6++dwp/uRvn4/DfxM2e7YvLoQP7d/IqQvj/MXnX8R1LLrbshzcu4Fi+WSzjNZwYWiKl49fIQgibMsgl07w4ffuo6djufkum05w790D/N0/vspT79hJsuHAqwYBZ6amSVgm7akU4+Uy7akUc7U6s1PT2IZBIdGIkCxX42xqt8Djf0t4ulprlNZUwwA/ipoarSklrmnhGNekXCOOZquFAV4UonVcNmnGq8zSiJB6FFINAu9dGw0AACAASURBVCKlGK+W44eQkslqbDu0DIOc4zZSvSlKvk+gFAXHXRbgoLVmpl5DCkHBvV2cPIFt7VlVuGnto9QMYTSMUnP4/qsEwSmqlb8hlfxJkskPIeVKDcrzX0apmGpnGL3Y1i4E1+dQxhrvVqTMEUUlomiSIDy9Jk/SsQ9Qq30Vrefx/BeZL/4e6fTHscyNCJG87qIwemmS2fF5oiAiCqNYq5UCJ+WQzqeYGp5BayjPVVYVugP5PL35fixDMthSQABRI8rJNOJow+tpEaKh6UphNu3zM94VVPr+Zc40rTWBqjNRPwdA2mwjaRaY8i7iqwqz/jCRCjCuiVLzogrFYKJZd8psIWt1LKt31r/KsdmnmfGHGm2S9CZ38WD7z9Hhbl7FSVYgZ/XQYveTtTo5PP03+KqKJuL0/LfpTmxnS+YRhBAEOuJMcRzXsNZ8fwuoRvN8b+JPKQWTdCd2cG/bR+hN3IUtV6YQ1VrT6W6lL3kPAoFjpJrOqMW+fXOMBq0VxWCc7078MZfKhxoCV5C1Oniw/X+6RuDGwUCWafDw/o3s3tpLtR5zek1Tkk46OA0aantLml/9mUcoVTxAk3Btkq7F4we3NhkP6aTDT75vH+9/bCdhpJBC4Dom2ZSLZV07juM6WvIpHty3mFku77q8f/tWTCkxpSRQsT8piBRK60aASszY2tjagnlT0aqLeEuErtKaF0eG+Oyp1zk5PUk19JFC0pVK8/6NW/jw1l3NtHJaa2phyAsjV/jCmRO8MTVBPQrpSqZ574YtPLVpK92p2CPrRRH/ePEsnznxGjO1KuPVMtUg4D9+75vNBB472zv4b489Sc5xmanX+J3nnuHoxBif/dGfojO16G0MleKf/cP/oDuV5q+e+vBtenKDVPLDOIn3InEbPFxJvKwolPYQCHz/FcqVP6XuPU8QnmSu+LuEapRc5l8DuWUDPfCPQkNLECJBGA0j/Jdu2JIwGmYxx28s8CEAVjpKkon3U6t/jXr922hdpVr7PHXvm7jOEyQTT2FamzBkO3H+3+Ur+rb9G9h09wDHXziDk7DZuKsfy7UaeU4FA9t6QCzobSu3SpZhkLBiU8bS6b2UrXKjiZ8ws2StLuYaQm/au9wQksuftRrON8vk7R463S3M+cP4ukopnKAcTpGzl2uTpWCCWjjfaJ8kY7aRXKIVKkKuVo9xpXKkYa+Mt8/3t/0M3Ykda7ZdCEHCyLEz/yTVcJZjs0+jCKlG87w++yX6krtImS3Y0iRnJ6mGq/gJroFGMecP0eFu5qH2n6c3ubPR9yvbEGnNeLXCpdIcoOlNRURaNVMehkrRmUyTsa5HpVx5XemIGe8Kz09+kovlQyhCBJIWp5+DbR9jMH3fqrZjIeK8zS35FGvp3EIIcpkEucxyJSnhLr5nKQW5dGLN4AatNZ4fUq35zJVqPHvoLA/t30g+u2ijNw1JPrGo2Dg6FqquudiOJm4pPWaj/lv+xU3gcnGO33n+21iGwePrN5C1XUq+x+XiHEOlIsaSRoda8Z2rF/mDw8/R4iZ5cnAzCdPi5MwEf/r6K4xWSvzK3vtoT6YwpWBLvpUPb43j2b90/hSvT47z4a072ZCPX1VrIonbMIBrDYFS+FG00ntLnN0pUNdLPn7rUNqjXH8Ox9yIlKlGlJlEE6B1SNLeQyLxBJa1ldm536LuPQPUqVQ+hes8hOs8ztLBHHN54zaG4Rlm5/7Nm2pXzJzwEKt4p6XMk8v8FgIHz38epWZQao5q7W+p1p7Gtu/GdR7AtvdhWbsw5KL9TxoS25Dse8ddq99YLtU2o1WLrDalb1bDilPwxY6gBYE66w+huDaRjmbSO49q9GXO6qY3uZMT898EqpSDKUrh5EqhG05QV3HaT1smyNs9yxxd1XCOi+WXllDQYi23N7nrhs8ghCBp5tmQuZ8rlSNM+5eJnWtXuVw5wo7c4wQqwhKSKa/MjF+l1bm+2ceSSbZmH6MnufO6JihfRRyfGWeqXsEUksulOSKtqAYBtmGSME3u6egjZdkYq78h5DXBPEorpr1LvDj1KS5WFgVuu7uB+9p+hsH0vRgrAoLeXiilOX1xnK99/yTjUyVc2+TdD2677ru63Tzqt0ToHp8cp+h7/PKee/noXXua28O5eo1qGOKYi7cteh6ffP0IBTfBfzj4KDvbOpBCMFwu8rsvfY+vnD/NQ30DvKN/A6Y0uKu9k7vaYzrQmdkpLs7N8lj/IPf1rO1we3uhkSKFYRTwgjP44RCmzBPpEtYST79h9JJOfQzPfxWt5xoa5ldwncdYGpmmdOk2tSpCs7rQA7CsbeRz/yu1+jepe8/g+4cajIY6vn8I338Zw+jBse8nkXgC13kH8iZzxb7VsKRLwV60/ZXCCXxVxzWWeMHRTDZMCxBro53uVizpUougHE5RDqZW1F0KJvCiBaGbJL+EEaO1phrOMlI90bxmCJNNmQfW5AmvhnZnkHZ3Y0PoxoJ8tHqCzZmHsKVBynKYqpcJ1drvbwFps5WNmQduSGlypMG2QjuzXpqc7eJFEbUwINJxQp2EadHiJNZ0OkskplzUBrXWzPnDvDj16VjD1SEgaHUGONj2MQbSB67LjgiV4o2xCcq+z4Pr41DqZ85doD+fZ2Pb7bE3X5qZ5fsXLjMyNk+hkGJzfzu7t/XR0ZahWKxx8fIUUgiSSZswjLAsE9OUaA3FYpVEwqaQT+E4Jukf4ECFt0ToFtwEkdIcnxxnuFSkLxOTrvNugmsz416Ym+Hs7DQ/tf1u7mrraNpdu1IZDvas4yvnT3N2dpoHeweaGuwPM6RI4joHkDKLQOJYW5DCRakqUjhNTVMIoxFOuwk/eBkA3z9CbEpYXRswZFec7FzeOinbtvYjVjEtLEAIiWn2kk59BNd9hCA4Sb3+DPX6t4jUKKCIoiGqtc/h+S+RcF8hnf5ZLPPmT1l4q2BJpyEMY8dYoDyKwfhy2yuaifr5uLxwSVuxTTdrdVAMxqhHJYrBBJEOmtqY0opSMIUXNfwF1wpdFLP+MJ4qL2lLAktEBKrSOF7GIFRVauEEWXsQgbFCA3WNLC1OP5ZMEKgaGsV8MNZwhnXgSJN2N0OHe/1FTjS4rznrxvRGQ0r603n60/lGXoObN+fEZQwsuchwqYTTvDD1l1wov9i0f+esLh5o/znWpw8gb0BHixpCd6Jcbgrd5y5eQa3X1xW605Uqk5UKm9tab5iUKmXbpByby16Rn333O+hcchhBteZz9eo0UaRIpVwMQ9DbW+DEyRFs26BUqgPQ19fCzh1r8cpvDm+JFNvX1cM7Bgb5xqXznJie5EBXL+/fuIXtre2krOVBBmdnp6kEPl848wbfH7q8rJ55r44Ugrl6nUBFuD/8B12AMDEbAQW2uUT7NpbmBm38JRIYRltsamWBOVDHMBZXUSFzLAgTwxwgk/kVLHPt1JFrNku4iJtIYiKEjWUOYhoDOM79pNM/h+cdolb7En5wHK1LRNFVKtW/Qqk5ctnfwDD6f6AtWBzFtWAOWHCahgghEZjN43gW86ouNQkJBAYZq52EkaMWzaG1Ysa7Ql9yV7NUNZxhvhHckDRbSJmtCATtzkaGqq817KEj1KNS05PvRSXK4dQSz3tmmUBTOmTSO7/sWbJWO+XgEpM1QaR9AlUiaw1SCUeItEfLKqkehZDkrC4cmSJQMce4HE5SDMYR5FFa35SWK4RBmzO4ZqRc3HeaxZ1UBMglZp84K6DWqllurfcqhYEl3Ni5rYp8f/LPOF96oanhFuxeHu74F6xP3Vjg3ghKa/wwJIgUQoBrWhhS4EcRh64MMVGu0JFOk7BMXNNEA/UgJGqkmnRME1NK2tMp9vR28+z5Syvu0dqa5pGHt6J1zKoSUuDYJu2NnA8a0Eo38kv/YAEkN+wNIeJhvfAaVusQiE9cWEDStPgP9z/KwZ5+/uHcKb5z9QJfOn+Kh/vW84m997K5sJg4uhL4mNJgIJtnU8vqUVO7O7rW5Gm+WcSnIb2d2a5WG7zqmiTeYsWEMY0+4smg0KqIwMAwllOW3goIITFEC1IUsMwtpJI/jue9SKn8R3j+YbSuUas/jWPvI5X6CKs56G4WSntM1l5q3NNFCMlM7VXS1gAFdw+OTKLVNHG4cAi6itZ10DWE0Ycw+kgaeXJWZyx0UUx7yxfwifp5QhVrKxmrjXRDsHa4iwvYrH+VWjjfFLqVaJZSw+QgMSg4/RhLbOIatSIIImd1Y8sMviqidYghHELtYck0sW0/Qqwy7VJmK/aSgIt6VKIWztOdcMjbCdrctdMiLkAgSZqr5+/QuoQKLwIB0uhD4BJFF5Cyo3maiZAFpOxEqWm0mkWaA1zr2F2AxMA0XGrRPC9NfZpzpe8TNbjMbc4AD3Z8nIHUfuRNnp4B8W5kqlLlxFjcp/O1+H1dnZvn6TdOcX56Btc0eeemDRxc389zly7z6SPHqPoBr4+NcWBdLz+5exfnpqb50onTDM/Hx3a9e8sm7htYd10ZYpkGVmal8y2fj9/J7bTr3lDoWtLAMQzKvke4itNpzqshBMuCJoQQZB2XH928nXcPbuL1yXH+8cJZvnT+FCXf43cfew+tjSNGsraLYxg8vn4jv7D7ntv2YEAzB75iJce47PsrKDJvN5SuNLbuMaTMrQhKcOz9lCufAkLC6ApheKkRifb2aP3xYLMQIkci8R5Mcz1TMx8nDM83ToE4QiLxvltYCJZxFBr3MEla3YSqiimT1MMpUlY/Sasf12xHBedR4XG0KiFkDmH0ooJTQL1534SZI2t1MlY/jUYz619Bo5s2yYn6GcKGsytltpIy4wW+1V2PxEARMeePUIvmm9SsajhLJWwIXWHS7gyuCENfMD0swDVyDGSexJR2496Cm4kqs6S7TCMMlUegPSxpsLf15tJFikY9q0FHIwT1p5GyG2VMIo0uIv81lEwjzQ1E/nGE0YKwLELvWbSaxyTAsPayWm4MKQwiFXB09oucnP8WQWNBA2h1Bml3BpGNZPI3i0gpjg6PUg9iReT89DReuIHvnLuIBv63Jx9nqlzlD7/3AhvbWnjP1s1Mlit4YcQ/P7AH2zDww4i/PvIaWdfhiS0beW10nG+cOc/mtlY6bvlsw7cmGdENZ27GdmhNJDk2McpMvda0zwLM1Gpcmp/Dkga96dXtTQnT4t7uPna3dzFTr/L65DhnZ6ebQndLSyuR1pybnaHse6Ttmz/++kawDAPLMKj4Pr6KlvEcz8/N4IUrj4p5u6B1SBCcIgwXAzAsaxvXasS2vQfD6CCKrsbRZfVv4LoPN8Jv376saAswjD4saxdhGG+rtS4tMQ3cCAKWLiq6DgRIYZKxF/PUZuzNzdAAAGF0IqggdAgLmc6sLYBCyAIQ068yTRuuphxME6gatkyidMSUdwmlAyQmGbO9kbAGUkaBlNlKKZygFs1RCibRKASSWjjXjOoyhEmrs37Z0yxEky1FzD8ViCXO0JsRPKawljm/Qh00NcdbgWAtbc5EiBakORhnuAvOoNQ4ckFzF4IFlg34MdVMrH2KSaQDLlUOM++PLLNpA1yuvELr/Hr2FD6As0p+irVgSoN3bdnIv3rkAQD+8ze+0zzBuDsbHzuktKYlmWCsVGLDKjmBa0HARLmMISVX54oUEgnu7u5qhvT+MOCGe/b2ZIrtrR3Mex6fPfU6E40ghKJX53Nn3uDC3Ay72jtpTy527pmZKS7Nzy1TLkOt8KKomeBmAetzBQ509fLiyFW+eek8tTDWRjRQ8j1OTk8wW189lv5GSFk27YkUvor47tXLzfZM16p88exJiv7aZ6+91QjDy1Qqf4nW1ea1hPsOrtUqpNFFMvG+5uf4fLXPopZoFmtjIfPY2vH3StVQqtiw491MjQFRtFQ7zyLWcPytBkMunmIRhpeI1HQjbHz5v2W2b5nGsHZh2HsxrJ1IcwOGfQDDvgchY1OVKRwyVntT0wt0naIfb1MrYWwmiBMipRu0LxMQGMKmzV3feDbNtH+ZUPtEOqQSxWG1EIfzLmVINFq2why0MMYWAoRudi91bbnFfrg9kEYHlvtODGs7pnUXpr0Xy30S07kfaQxgue/HMLcgZQem8ziW81hshlhD0wtUjdHqScqNCLylVLB6VOS12ae5VD7cdKq9WTimSc51GCuWKHkeM9UaM9UqnelYa11QqhaSLriNKLLNbS383D17+ej+3Rxcv46s+4Mpc0eGRijVvWUOx5ofcHJ8snEm3c3jhuLfMU2e3LCZV8dH+PL507wxNU57MkXJ87gwP0uLm+Dnd+1f5jn89uULfO3SWVoTSdoSSQSCq6V5zsxM8eSGLWxrWdyKZm2HX9pzD//1xe/yfxx+jq9cOENHKk3JqzNWLZN3XH5t3/1vKmrMlJLH+gd59upF/q9XX+KlkaukbZurpXlMIVet87nhywwVi5R8j6MTsXD5/JkTHJsYI2Pb7GzrZEvLdQ5k1NHqCW/iL+MtuXeYUvn/xvNfaX5jW/tw7INcuw4KHJKJn8DzDuMHr6J1iVL5TwjDEVKpn8YyNzcixsSSe3iE4WX84Ah17zlsay/ZzCdWbVEUXaVY/u8YshXXfRzL2oEUqRXtAI1S05TKf04QLBzEaGFZu5DyZo9hF9jWLhYcYpGaoFz5C0yjH8O4NivYwuA2WTj2abX6mn8JQcbqIGHkCdQYofKZD8Zoc9czt4RhkDByFJYwEExp0+Zs4GI5Prdt2rtEqDyUCCn6403TQNbuwjGWb0+FEMvssBCbBZRWjJRKzFSrJCyLlmSCpG3jNbbNCk3SWh5tGWoftYTHbAhrmf34B4WQWYxl72mlY5dGJjpjWQj46kI39oiEGMKmP7WXbdl38vL0Z5uOxXI4xYtTnyJnd8ch2dfZpi8IMkOK5plwsBDBavLQ4ABPnzjFf/rqt2Lu/+aN9OVzREqxr7eHP3rhEP/zl7/OQ4MD/PiuHfzU3l184fhJ/t2XvoYhBE9s2cTjWzby+ddO8OLlK5ycmOAPnn2OJ7Zu5sH1/bjWjbXgzx59nV+4/x7SzuI7qfg+nz5yjH//+CNEKCxpkDBvrIDc2JEGbCq08DsPv4svnjvJc0NXGCmVyDgOP7Z5Bx/csp3NheVC6IG+fkYrJU5NTzJWLiGFpD2Z4l8deICnNm4lsSSKQ0rJ/s4efv8dT/K1i2d5aXSI1ybGSFkWA9k8j64bpD+7+hHsrYkk/bk87nUe9N6ePv7zI0/wmRPHOD83Q8K02N3RzYe23sVfnzhGJVguIL9y/gzHJ8eJtCZQERvzLbw8OsSr4yNIIfjI9ruvI3QjKtW/wfNfWPGNJkSpOaJwqKHdVVhIDm6am8hmfwPD6F0xOONsXdvIZf8N88Xfww+Oo9Q0lepnqNWfxjA6MWQPQibR2kOpWaJoDK3KaHxAY6yZOjEOmgiCU1SD05Qrf42UeUxzANPoQ8o8YMYnQERDjdMkxonz4Vok3HfhOg+zFsVtNdjOASxrN0FwDFDUal8lDE5h2/c1krgrtK4QqWkEFpn0L2Lbu2+q7qzZScpsoRiMEWqP+WAEiB1kXhQL3aRZoOAsskoMYdHubkQg0SimvEtxngUdp05cQLuzcQX3VSBwjeVmtXpUpOTVef7SMEnLIp9wuTw7RxAppitVpBDM1mo8sWUTG9tamiLNV9VmgAXEttm17LO3B9fTom9Ow85aXexv+Qk2Zx/CNbIkzTzfHP3DZf3+3Yk/4Ymuf03e7llV8PphxNXpeUxT8q5NGyl7HvPVOkIIPrB9WxwOjORn9+/l+PA4fS05OjIpXrsyxmSpwgOb+vm3jz3E2bFpuvNx5OrWjnb+5UNxZjAQJCwTQwjeu30zj2/egNI6Dg+2TBxzbUdfHDquCMKIyUqVkhefDr7AoZmu1rg0O8upuUlGqvPsaethXXp1WbUUN2XoMIRkXTbHr+27n1/bd/8Ny9/d3sXdN5UKMX69deUjzICP797PJ/beh9KKsfosw9VpCna6GTIcqojh2jTj9Vm63AK/sPsAv7xn+flmXt1n9OIkiZSDUprO/lZaJxW/ObCf9O4UudY0IxcmCMY8fn3jPvJtGSaGZgiDEK/m87/se5goUgydHaPQkSXXlkFKydC5MQqdORz3etqHxg9exQ9evblnFxkc+wDp9C80Uimu/jqEMHGcRynkC5TKf0rd+x5KTaDULErNErB2JjQpuzDk6rll47odpMwBIVoXiaIiUXSF6xlepCzgOo+RSf8ylrWZm52kQggM2UEu85vMF/93gvAMEBKEZwnCsyvKm8Z6lK6srGgNLE3cEmqfeX8ErRe4tBUkBjmra5mHXwqDjNlO2myl9P9S955Blt3nmd/v5HNz7JzT5IQZzAzigAARCOakRFErabWSd7fsXZfLtmpdqlppXa6yy/basrT2eqWlREVSEk2JokiCIAgSiQBmBoOJmNDTaTrf7pvjSX9/OLfTdJgeAFrLzxdgbt97T7jnvOf9v+/zPo+ToWRnqDo5VMnYwExoMQc31Usl5A28XYC8NYcsCVrCIWKGgaooBD2XyVwBWZJoj4YZaU3RFglvOGtlewnLXSs1rQSxf8joDh7mWPJTrPz+XYFDPNLyj3gt85VVBbW52jV+svRVHmv5x02N443XynK5wuXpeRJBk55UnMmlHLGgiaYoXJicpTMeZdzO8uSBIYrVBnbURZP9hpkQAl1TyVVrLBUrTC8XGG5NIUsSYWNzOSGk64TuY/HgCsGNxQw/mbjDnXyBr797mWQwyIqpwkQ2T3csyly1SK5Ro2DV6b6HPgb8JzCmXI+8Vcb2XFrMjWo/dddivp6jzYyjy6pfW2uU+MHCBSJqgH808DSaHMQVHov1PN+aeZN90V6+0PMoAWXjWZy8Nsv3/uRV4ukomqHyqX/yJC/8yWscf+ogPSPtxFJh3vreRYygwf6TgyiKzLuvvEe8JcrM6AL7Tw2haQovfu0NnvnZRwiEfS7id776Csce38feEwMEI+83A9F8bq6c9pXAjIcJmM/sKnBJkoyuHyMe+w1/aKHxKrZzC9dd8JtZooFvqRNEkePISjuq2oeuHydgPLnt9ypKJ+HQL6IqfTjObVx3Ac/LI6itlkl8B4kwityCqg37U2nmc6jq/ZPEJUnFNB9Dkn+TavVbWPZlXPdO01HCA3RkKYCspNG1I8jy7qeRTCVMWE0j44vflJ0sNbfgc22Fgy4HSZsDm2qlphIhrndRcjKAYLkxRULvXlUM87UD+jYFXZ/RMMgaf9jn18pKnScG+1ffN18q0xYJ43qC7tjaEn/l5vSER9Gep+GtPWDCaoqw+vdPDfzgWDuXiqwxED5Fyc5wPvsNam4eTziMl88SVlt4MPXFTZS2kKGjKjJjmSxDbSkqDYtMqcJga9KfQO1u4+b8ElXLpm7ZzGaL9KXiRAMGuWoN1/UYz+SYy5cI7ZgQvb8jM1QVXVVQZAnH87DcNdODfW1pntkzTCCgcnl5Dm2XtNZdBV3X85iuFAipOoaiojWVdxZrFdJmCFmSiOyCdfBubgxd0TYF3ZQR5WFj7WJUJIXD8X6yVpHrxenV1w1F42RqD1PVxW3J4tmFAh39LQwf7cMwNd8sL2yw93g/iaa0mx7QGTzUzeChHhanlxGeoG9fJ3bdplqskWiN0t6bZt+D/rSVYzs89qkTLEwtMTueoaVrLRBo2gHisd+CezUMJPCX6haK0oGmjqCqfbheDttdRNtU09waitJGMPjTmOaTOM4krreIENV1QddElmMocguK2o0sxbedwfeHEoIEzE9gGI/hOndwvQzCKyFErdnJBgnftkdWkqhqH4r8/kwvV0+FZGIaj6GpB3CcMVx3tumfthJ0TWQ5iaJ0otxHYJckmbjegSabNLwyllthuTFJzfFV2lTJIG0MbPrcStC9U30XgKw1RVCN+9Y2QFCJE1ITm56LEhJRrZ2Imm4GbLC8GvO168T1NceLjujOk2RVN0e2MbUqHykhE9XbVrnE/3+CoYTZH3uasrPE1fwL2KKO5VV4r/ASEa2Fg/Hn0OW1Xooiy+xtT9OXipMKB9nT3kK+WqMrESMWMIkGDEbaUpiayp6O9Kp7TGci6ssLSDDYkiQdCW6QF/gwoMgye1rSjKRTjC/n+IUHj9HfVMIDf4jCQzBRzGF7Hu4uslzYZdCdLOW5sDSD7Xk4nsdwLOWn9orKdLlARDM53upfZNlGie/OnWWiskBANXi67QGGw528tPAu35l9G13ReHXxMh9pO8Kp5F6uFaf47txZknqUz3c/Qvx9+g6tYPhoLzcvjDN5fZb+/Z3opoYsb2zEyLLUpMhANBkmFAvy8l++Ra1c55kvPYrruMjKWlApLJW5c2uO5bk8gbuyXFXtIaz+PLDWENjpxOcrX0eWoqhqP663TK78pxjaPrTg8zse18p3u8Jl2Vqi6taIayMkAqc2/P3u7QshqDVsLNvF9TwkfBUlWZaxHYdMrkIiFsTQTMKBQ+gfEi9xp3PheYJXb02QrVR59uBRQsEPj58d17vQ5SANr4wtaiw3Jqi6vkqYJm8ddI0mo2ElY8027hDXOldVwxJGD5pkbsqQfcGaBL2h41wtvOAfm3AYLb3OSOQMirwLuWohyNRvr44og1937gwcRNnGPuiDQghBfqnE+JU7SLJMS1eCXKbI/PgSD370IJPXZ8kuFhg81EPv3o7m/bN7hLUUx1NfIG/NMlk5j8Cj6mZ5Z/kbxLR2+sMnV7UpQobOUFuKFRnJkXa/medfN5HV9wAc6l4rWabCQZIhP3ivNLfWX2oN1+GrN8/y+vzElvv4YEsPPzt0jLR5b0qbJEn88qnjtEXCTVnHdQ1c4dNq9ydaCWu7Y0jsKug6wsNyPQKqSsDQmCj6rAVsi6husFBbE2W5mB+j7NT5bPcjhFSTiBrAVDQ+0nqEsfIc/eF2Hk3vJ9QcdR0Od/JEy2F+uHARy/vgvNlU9pz+igAAIABJREFUe5zP/tOncR0XM2QgyRJf/C+eI7hOoOLJL55GbWprGgGdk08f4tBDw0iyRDgWQgiPlq7HV98fS0d4/NMnEEAgZKwGL685MuiT8MHxBI7rYura6u15d9AJ6A+Qr3wNgU259jKa2k3IfGTHY/JHLeu8m7/AjzMvk2lk0CWNp9ue46NtTwMwWr7F1eIVHk0/TouxtiytWw7n37tDKhrEclxmM0WWC2WCpk5/ZxJFlrkyOke1YfH5p44SeB9W91thqVzBUFWigc2lGIGgVG9QrDU+9AGVpN6DoYQoOX7WuVi/TbWZ6Sb07g0iOCuQUYhqbQTVBNWmq0PSWBtISBv9G8Rd1iOgRBiKPMxE5SwVJ4vAY7Z6lVulVxiJntlR5EUIQdFe4HrhRxTsFRqeRNoYoD/04IdKGbt7u6PvTnLj/DjprgSdAy3cfGcCw9SpluvceGcCWZHoHmpHeOyCWLoZUbWNM22/yguzeRbqfr2+6CzwyuLvEVQTGxgNK4JY60eV/ctiZQ5Waf53jaGzJpm6ckwNYM0QwBOCm4UMry1sbUQQ0nQuXZ+hL5agJR2hWm2gKH5y5nkehqFiGhq6rqIoEj3xtck8IQQNx8ETAl1VKdkNbheWOZLeWWR+BbsKunviaUZiqdXDlaS1y0HcxUU8EO1ltDzLa5lr7I12cTDWhyzJRLQAAcUgogZIG2vlBUPRiH5Ao7f1kGSJaHJjthyObaT1BNYFYEmSMAI6RmB9ViGjrqORqJpCvMW/WbOlKktzRZKRIMulKmFDx3JdyjWLeMhkYiHLYEeKsGkQDugokoQQLq7XJNnLCcLmx1gq/ltM/QjR4CfvyXO1hc1Plt/gO3PfJqQG6Qx0cqcyhe2tMS+CapCz2beJaXGebH1qbd8VmVQsRLVu4XmCVCxIKKCzkPUflLbjkk6EScWC6JtEnt8fhBD80RsXON7XxZP7NgviKLLMJ4/u+1C2dTciWqtfN2xMUHdLLNZvUXeLSEi0B7aW8JMkX2A7qrVSdbJUnGXmaytuBBIpo39bJoEkyXQGDrI3+hEu5f4ORzSouFneXvpzZEmlL3QCXQ5u2q4QgoI9z4XsN7lZfHk1qw6pCY4kPklA/ft1phZAS0+SZFuMarmOZqjoAQ0jYLD3RD+5xSLJ9hiy8v4CvyRJJPVezrT+Z7w4/7+tOnP4jIb/m2c7/usNJRgAIWq+DrRwoamKJyEhywlcLwfCRVaSzcnEEEJYCK+MJAdwnGlM4zSStFv6IpQrdW4uzjM3X+DKtRmSCT9OKIpMKhUmFglw5LDPzb40N09Q1xlJp5gtFPnejVGK9Tof378HRZdYrJcpWHV2o3W46yLIykVz90+wPgADRLQgX+5/irHyPN+bO8diPc9P954BfGuVhnf/Uzb/kDCzXGBsPsuh/nauTS6sFu9nlguc3ttLoVrn5nSGlliYA71+ndYTJXLlP1n3LTKa2onjzpEv/zkh8wzBpufYVshbec5l36Yr0MUnOz5Nm9nO//Dev9nwnrTRgqkYzNVnN7yuqQr7+v1JrZXf0LJd5peL9LTFNzy912OxWObinXkKtRrpcIiDXW2kw/5FmSlXuDK9QLZSRZZlBtMJDnW1oyoy40s5Lt6Z443RSQq1OnP5IulwiBP9XaTCQcoNi+9cuoHjuQy3pjjS3Y7ZZKdMLudYLFZQZInJ5TyqLLO3vYWhVj8jd1yPy9PzjC9laTS71wFd4/GRftIRf5koSwpJvYfp6iVqToG6W2pOmCm0mFtZxfsIqSkiapp5/Gmw+ZrvsGvIISJay45SjQE1xv7Y0yw1JlbNF5etSV7P/AFLjTE6A4eIam3ocgAPj7pbomDNcav0KrdKr64K6kjI7Ik+wUD41Lbb+jAgyzInnz7ki7vIEjfOjzN4sIdKsYqqKxx9fN9qYvlBxmAlSaY9sJeTqZ/hJ5k/ptyse8/XbnJ2+es8lP4yEW1tVeZ5y9Qbb/i6GoCuHQJJ4Ll1bPsmniiiawdx3VkkKYLrZfC8ErIc2ZWY093o7kyQlAPkizVGhlrxPJ99HDB1ErEgnhCrrhDfvnaDkZY0XdEI371+i/PTPiXw6+9e5kunjjAYTaHuMnH80NkLN0rTXMyP4wkXTVZJrjOIHAy381rmCkuNIieTe9gX7eG1zFXezd1mtDzLt2ff5lRqL4OhNl7JXOGd7CgLDZ+t8HjLQWJamFcyl3knO4orPCRJ4iOtR2g1/9NRa7rTMRLhAAFDZ09XC8HmcnxPV5pwwC89NGyHgKn5tWNAQsPQRjZ8j6GtBQBF3lqkZAU1t8qSleGZtucYCg9TdzdP6MlIhNQwFae86W933zi6ptDbntj2PcvlKl97+xKFWp2IqXPxzjzX5zN88cQhkqEgi8Uyb41NEdB1apbNS9dG+ZdPP8qe9jSO61KuN6g0LGqW43udNe2VAGguzX4yOsWN+SWGWlKrQffazCJ/9tZF+tMJkqEAS+UKb47d4Vcef5DBliTvzS3yp2+9y772FpbKFV567zbPHdzDo8N9G44lZfShoGJTb2ZNfj03pW9833oE1ThhrXWVr7vS1PIHLqL3XOqnjUFOJL9A1cmx1JgAfH3Zc8t/QVR7hZjWjiYHEMKj5hXJW7PNEeMVXQaZgfBpjiY+fV8iMe8XUtNyBmDgYDeZmSytPSliqaYB5odU2VBlg6HII5TtJS7k/pq6W8QVFqOl1wiraR5Ifma15CPLcUz9BLYziSyH0bURn9UiqU3PPgVZCqLISSQ57AdcKeg3fIW7SbfkXmhvi9EZ9FcU9bpFre43jgOmRqVqETDXVqCZcpWnhmMslCvczCzx+cMHGUon+dcvvMTN3BLt4TAxY3eB/95uwNkCC6Uyfck4YVPn7bFp9nW0ENA1grrGfKFEUNeJmDrX5zLMlevsSXRjey6NhsfJ5FpwOZkcIaYEQWY1GHcFUgQVgweTezAUjbQeQUGmP9hG2ojiCg9D1oloQQxFYyjcQbuZBASmohNUPjytht0gEQ6SaGZ8qUhwU4aYCAco1RoE9PUDICGiwU8C4AkLX2dVRQgPgcXdBop3w8N3IjXlwLZlGIFvlbL97P3ucXZ8mulcgV969AQ9yRjvTM7w9bcvc6yng9ODQfpTCb788HHiQZOG4/Bb33qJKzPz7GlPM9SaoicZ58Vrozy1f5BnDvo6Cit1u7Bp8KXTR3Fcl4nl/KZtF+t1Tg508cSeAcaWcvzHV89xc2GJwZYk5ydnMFWVX3j4AcqWxZ1sgYNdraTCG8tHKd33TFtf94ppHRjK9iwCRdKIae2rTbi1z7VtWQe+G7Ik0xN6gMdbf403Mn/AQv0mAK5wyFnT5KzpbT+rSSYj0cc5nvzCBifgvy8IIcjbJQp2iXYzjdAg3e8/hKtuDVmSkZHRFe1DqSsHlCiH4h+j5GR4r/ASrrCouyWu5L9LRGthX/RJVNlAliPo+kFUtQdJMpAkoylodPc+9LC15uH97+vKqQ4EdALrSoyBwMYmZlDXKNbr5Gs1XCE40tmO5wlcTxAzTExFJaDsrh9yz6BbbjQYy2S5tbDM8d5OxpayFGp1wobO4e525vIlLs8s8KWHjjJbKCEchWPxQeq2w6vzE0hta0FAd1TM2xK9eztwii6z8xmoOox0dKAGVOrVBlIZbt2epL0vTdwOoGkqmqHSWLJZqlSIyybtoRhm0CAU3X40WAj/hFiWg2275EtV7szlWcwUyRWrlMoNGpaN4/iam5qqEAhoxKNB2tIROtvitCTDq8V0XVO2rQeuhyJJxEPb71e+8mfo6gAh4zHApVR7AQmNaPDj237GkHWCaojFxgJ1t7bpcnOFy0xtmqyV42D08Jbfcfe5WVP42qhzIIRgdHGZt8enmVrOoykKDcchX61RbvjKbPPFMt+5dJ3J5Tx12+HWwhLHe31qlyxJKLK0GmjvV5KzJxFjb3sLsWCA1ohN2NAp1/2SVDwYIF+tMVco+RxNzyMZ2lwvTRp9RLRWFGftxukOHUGVN98UQggc4eIIj5TRR9LopWDNN117HVLGAAFld/VVRVLpDR0jqv06V/LfY7T0OjU3v27Edy2rlSXVz76Nfg7Hn6cv9KCfUd9Hb0NGJqBECSo+tUyV9Q3C4jvvq8x4ZYbJyiyu8IVOG55F3W0wEOpmKNyDflcQ0eXg6rbAt3bfLUJqitPpL9Fwy8zWrjV7QR5X8t8jqffSEVhxuJaawzr3wgd/GAghsB0X23GRJGnHJvJHhwf56rkLyJLE548cpDUc4p3pWToiEY6lOzFUBeXDKy9IRE0/ba7ZNqamcbi7nelcgduZLLcXl5kvlHxb4mCAuuOgKjKuJajbDqW6Rdg0fE6bJ5idWGL69gKeJ2jpTCAEzE4soaoKS7M5rIaNbmoEwwGunRvDsR06etOMX59lz7E+gmGTQrZMNBkmGDG3bFBUaxbzmSJjU0tcuHqHa7fmmZ7L4jjeWuNvC0f5la+SJAlZkohGTAZ70zxwsIdjB7rpbIsTjwZQdxgdvBccN4OuDuJ3X2V/dPceljwxLc6R2FEu5M8TVIP0BwdwhUPRKXKneoeF+jwvLrxASA3xQPz4hnOxcjwbXhNVPGfMr4Mp7U0nirX3uMLjWE8H/+zJ08TWsQ/iQZOa7fB/vPg6vak4/9Wzj5EMBfmNb7644R5Y32O+X5i6htaso0lNZt/KcTyxZ4AfXL3Fb/7ND2iNhnn+8F4OdbVtuv1MJcKX+n9ng16yLMlbrigEgquFScbKC3yu+yF+qvd/9nVdG0Vul+c4Gh/awCu9F2RJIaF381jrL3Ms+Wlmq1eZr10nb89he3VkScGUI8T1drpDR2k396HKBr5QuwvNYERT9EfeVnfCH8P9VM9vblht7dYmqOz4JSpd1qh7DTRJI65F0GSNhB4looY2ZLkCiTb1eT7f/alVzZKVB0TZspgpFv06fTK1JV9WkiQiaivPd/2rTeJKSlN86D81csUa85NFbk4uEgmZfPLMwW1XGSt6DyAYaUkjSxIx0+AXThwloKr3dK1Yj3sG3XjQZL6gULVs2qJhLMclahr+/7su3UmfxCxJEulwkKlsgZrl0HAcDE2l3GjgibCf9agK3YOtuJ6H3XBo7UlSylawLYdSrkKqM45uaghXoJkqweY0mGqo9O3rpLO/hXKxhud5G9gFK2hYDmOTGV4/P8arb91ifHoZz9v9rb927fpuYsu5Csu5CmcvThKLBDh9rJ/TDwxw7EA3LanwffMXwa/fWs4YhrYXIWwcZwFN3bnnGVSDPJJ+jLJT4qWFF5GQKTklzube5mL+Anm7QKvRwvMdn6Q9sEZbuXRthn3DbRjNJ/joRIZUPEg0NI3TeBkkFVV/CEV/YPUzkiSxt72Fy9P+bHtbNILjulQtG9cTeJ5HplzhmYMjxIMBxpdyzOQKHOxcE9mWJZmArjGXL1GqN5Clpnr/Ou6zEJubd7DzrVezbSzX5b//3DP0JLev4y82CkxXl9Blle5gmqrTYLFRQJEk9kS6KDt1pqtLOMJjONyOh8AVHstWmZxVpjuQImfViGlRNFmjYFeZqi5iey6GrDEYbmexkSfbKFNyqgyE2ukNrTWE/OaySlRrIxprY1/sqQ37V7FnqbvLKJJBw81QdRoI4a4yGByviqmmCShp9B1KG5IkoaDdd7ySJInOQAudgZYNWr876f7arstXL1zkoZ4ePjaysT+RrVb54dgYL4+P82+ff57u6Nb77O+v+v9FfN0SmiqTa9j0tCcIBXQ8T6Bsw9aQZYn9bS0brtmRlh2Er3bAPYNueyxCW3RlGSHRHvPrYslmHc0TYvUcDrQk6Uv7ExuxoEl3YuMyQTNU9p/0KUQrO+/1pFheKDB0qIdA2Ld7XvlboiWKY7vEUmvLmDY2L+mFgKVsiR+9eYuXXr/Oe6NzuO6Hy/8slGp8/9X3OHtpkhOHe/nEU4d54FDPhkCyG4TMxyhUvsFS8XcBD0VOYN5D0EVCot1o55Mdn2EoPMJ4ZYyclcMVDgElwAmjjX3R/eyJ7N3wue++fIWersRq0H31rVscP9zL4b0RJCWN8CogbSaHnx7o5s5ynm9fvM4P37vt36TxKM8f3kMyFODUQA/fv3qL9+YzyEAyFNzwpJdliSf2DPCjG+PMF0oMtiR5ct8gLZEQP7k9xdnxad6dmqNQq/N7r7zNcGuaz5/Yxk14HRzXI1up8cc/uUBI1wkaGqcHeznYueatZ3sOLy9cIqGHiWshso0SV4tTqJKCK1wW6nkUSaZgVTAUnYV6jo5AkpxV5uzyLcKaSUcgyWxtmbHKAt3BFPP1PD+Yf5dDsT4yjSJ1z+ZGcZqwanKlMIkqKRuC7r1QsicoWmMYSoqoPsBy/TJes2Pvu0r4125I7WB9hCrbi3jCJrpO76HiZKi7eWJaL+ouSwvrsT7Avt/6bW88zs8fOcLF+fn39fm7Ybsu52ZmONLeTkhfKxFdXVwkYZp0RHxhm/FcDlcI+uPx9+UsEwmZpAfChIM6lu02ebpbwxOC89OznL8zQ088xjN7hlkol7Fcl4FkYrVnsRvsir2wU2H/7o3tduMr36moCq1dyS3/dje/disIIZiazfG1b53l1bdHyRffn/bubpErVPnh6zeYmF7mZz71IM+e2X9fSwtDHSEe+lksZxwJBV0bRFPuze6TJImUkeIR/VGOxo5RdSt4wkOTdSJqGF02Vs/bUrbMxJ0lFpZKnH13gnDIpNGwmZrJcuJIL5IUQdGOghRE3kIMPREK8tOnjnBzfolctUbWKhMKaUQCOkiCJ470cTTfQd2xmbQXeaa/nyOpbmqORcmpE9eCPH9kL32pOOWGRUskRLA5NVRaKOMtNTiVbqe9I44QgpZQkGq5wb62FlLBIK1N+lciGODnTh0lEQrgeh7fv3qLI93t9CV9qttsvshXXj3Hb3326dUySN6uULArfKLzJBEtwM3SDK7weDi1j7pr8R9uf4/jyWGOJgbpCqT47ZvfIqVHOJe9RUg1eTi9j7BqMhTpJNMorp6TFiPOoy0HeHPpBtlGEYGgaFdpMWKMRO5Pg0KVAiTNwwTVdnQ5iioFKNlT6EoEU/HpaYoUQF0nG2l7NUr2LKbiZ/hCeJSdRZbq13FEg7DahuM2qDoZoloXqmw0OccZIloH5i7r0gDzpRIvjI4ylssR0DQ+vXcvQ8kksiRxaWGeK4sLqLLMZ/btZyCxPfMmU6nwjWtXWShX6I/HeW5khPbwvevAk/k8375xg5hpsr+lhZptM1suc3Z6miPt7SSDQeZLJc7PzBAPBOiORt9X0M0WqoSFTjxqYt5jKOjy7Dx/8PZ5KpbNzaVlnhgeYL5U5kejY/zLxx++L5H0D5Uy5meoTrM25YEkN+f2P1x/s/XbuzOb47e/8kPevTaNZd3fRJsfo9br0O7uc54QjE5k+I9fe51a3eITTx3G0Hd3KiVJwdCGViljjruE6y2hKjt7YHnCwxEOnvBQZZXoumaDhz+xBr5uhSRJZPNVSuU6l6/PYhoqsiTx4NF++rpSCFHFta6ApCDpp5G2KG/EAiYnB3xi+O3SIkuNErqqYHsuM84SZ4b2oUkKfzOdpyMcJhU1+cnSbZYbJUYibRyKd/PwXVQuIQTdkSgiZOG4Hj1qmOmpZbySzERjkVs35hgaaV+V/gzoGkd6/HLJfKHEKzfH+Y1PPklfKoEAxjLL/Jtv/ZBSvbEadE1Zx/Zcaq5vdaPLKp7wqLh1qk6DlBFFlWTKTo2cVSasmqiyr/UhSxITlQUOqX1Yro3jOVief86Dqm+/I0kScpMhMhLppDOQIqbtnBw4jkuj4WAYKqqqEDf2I0sqUtPOJqz3ElDbfHub5gTb3VmnQFCyZ7G8Egmjn4J9h4nSj1FkA0/Y1N0Ck+XXMZU487VLjEQ/RtGeoepkmCi/woPpX911JqspCgdaWznQ2spUIc8fvfsuv/XUU3gISg2LLx48wJXFRf700kX+y4cfIaxvHld2PY+vvHOe/S0tHO/o5JXJCb4/OsoXDx7YYO11N4QQXF5YYG86zcX5efrjcV6dnCRbq3FreZmhVIp35+a4srBAvl6n/wMwPTRV4eLVGeaXi7QmIgz1bF8u+M71mzzc10M6HOLFm/7Idks45IuY3+dU5a6D7koZYaus11fJL2M7EzSsKzTsW7heDk3tIh7+Mqriz0y7XhHXyyFLYZ9rd3eD5y7cizqTK1T5v/7kFc5dnNxxnFTTFMJBg4CpYeiq7+hp6piGhqzICM/Dsl1qdZuGZdOwXOoNm1qTu7ddXXg+U+TP/vosmqrw3JkD6NsEXp8a5iBLOp5obBDHqTZ+gkAQC3562/13PIeJ6jgXcu8wW5uh6lZxxdaCP/ui+/l810/x5CN7Wc5VeObMfsIhf9mpKLJfDhECWRvAtW/gecvIO8zReEJQd23KTqM5pi1hex5lu05HIEZCD9IbTOIKwXg5gyo1nVO3+T7DVDGDOtFYgEbDQXiCYMigsztJpdKgtT22ym9ej6hpkgoF+fGNcY701Kg0bH5ye5L+VIJ4cK3RFVZNTqf28K2Zt4lpQU4kh+kMpPjR4hVUSebn+s6w1ChxLjuK5dk8034MV3jsi3ZzINrLm8vXieth3ly+zmwtx1vLN+gMpIhrfl8iogbIWn4GfCk/weXCJAOhNp5uP7bl8dZqFhcuTPLCdy/yiU89wKlTQ5tGiiWkbceMV6BJAQJqYtXJItcYJ2XuRZeD5K1Jso3blJ1ZHFFDRqHmZHG8uu9obM/5NbhdBCghBIuVMq9MTFC2LMpWg7lSyb+/BDzQ0cGh1jZ0ReHKwgLz5TLDyc3CPIV6nbemZxjNZjEUFct1iZkmlusR3CGpXGnKIUlM5fM83NtLqdHgwc7O1Xv8TqHA8c5OMpXK+2rWriBgaBwe7sSynXuOvy+Uyjza34e2rgThet77GmPfMeh6QmA39RAy9TIpI7xJGd2nZi2SL/8xhcpf4LhrfERTP0Yk+JnVoFu3LrJU+B8JmU+QiPwzFCmC63pMzmYZm17Gdf1AEg6anD7aj7rDCKLjuPzti5d4+92JLQ9cliVS8RB9XUkGe9PsHWqnvztFSypMNGxuyUAQAirVBku5MjPzeSanlxmdyDA+vczUTJbGFpn0fKbIN1+4SE9nkiP7urYMGJ6oUrPeIWyeoVp/g7p9fXVGvG5dJWg8uO1xAixZS/z51J9Sdsp0mJ3E9fi2WUtEjSBLErKm8Olnj/hsjqq1enFGwgaqXAbhoQc+B9I9sjThYnkONcei7DT8sUwJclaFNjNKZyBBUDUIKDonUwMs1ou0mdEtp3MkSWJopIOhkY4mK2Hldf+/p1LDq+9DCITIg1cBOUVAl/nnTz7Ady6P8tfvXEJTDQbSCZ57bA+hdZxoSZI4mdrDydSe1dcGw+08nF4bO24zExyMbTR73Bf1HzxfCD4KQP/AR7c8HydTI1wvTlNzbfZHeyg7NQp2dcv3AixlSlQrDTo64rjO/dm6rEAIQcMrUrLnsb0qNSeHqcTIWRPochBXWATUJHF9gJQxgqnEcIVFtjFKXB9AlyOr+iD3gu26vDIxiSrL/LePPcbbMzP8/vlzq3/P1WrYnkfFsvEEGMrWbAlNUUgETP7FQw9zuK1t1Y9Q3+b9KxjLZkkHgxxobeWCrjORzaLIMrezWTKVCn3xOBFdZzyXo9RokA7t3oNtK1iOg+P6tNH1Hop340BbK29N3aE3HqfSsLixkOFHtycYTqd2TRVbwY5Bt+pYXM75Y6XXC/M813Vgi5lwm1z5K+RK/wGQ0dU9qEortcbZTd+nKZ1YzjjUZULmswSMY1TrNt/8wUUy2TK246KqMqGgwYOHendsUt2eWuKlN25sGQiDAZ1HHhzkkeODHN7XRWsqsmORfAWSBOGQQThk0N+d4tEHh6jVLUYnMrx5YZwfv3WLyTvLm56uoxOLvPLWTQZ6UsS2sHFej6p1Hs8ro6u9zW3emy7TcOsU7DyPpc/wVOvTBJXgtkF3/UUzPZfj1bdHcZ213PPjHz1Ed0cCRTuA52V8ErrSueV3AeiyygPJPh5IrpUKPtuzNrJ8JLGWJR+Od6/Kkmx38a5/+e63bFj54IFzB7xFUPvBzTCcVPgXH+kEqkja5uaj6y4hRBEhXMDD8zLIchp11dLow0FvsIWSXaVoV1EkmYdT2+tI9PSm6OiMc+fORp8623a5+O4kU1PLSMChwz0MDbdye3SRYrFGdrlMsVjjwZOD9PQmcYWFocTQ5TCOaJA0hqm5uabWbwcpYxjHq1Nzl5GQiOk9JIxBXGHTGTy+69KCJEm0hcOcnZnmL65cIVOtrJZ7gprG7VyWr12+zFypxL50mtZQiHfn5ri0sMCdYoFv37jBg12dHGpt5dmhYf72xnXOzfh19dPdPRxsbd1xTyKGwYmuLoaSSVLBILlajc5olNvZLIOJBL2xGKosc2FuDlNV6U8k3lc9F6BYqTM2sUSpWqctFaE1tXfbffv4/r189dw7fPf6TcazOX7ntTcJ6Tr/5PSJ+26m7xh0VVmmxfQL37bXsuXERc26SLHyVyhykljo5wkaDyPLMaYzX9r0XlmOY6jD2O5MMyM+hu045Et1nn1sP7W6xbF93XzjxXd90nrzCWQ7LqoirzasPM/j9bOjzC0WNm0jGND58mdP8ewTB2hLRz7wdE/A1Dm0t5Ph/lYO7enkr77zDucuT+G6a1mL5wleO3ubZ88cIBrezB1W5DBh09efCOoPoqv96Fo/AOXaD/HYWY8iokUYCe+l5tZwhbtat70XXvjRNTraYnS2rdGrwiETz7mNZ7+HJ/K+GeEOQfd+cLcOxweGHAYaCPcOONMgJ0FMgmRsGXQ9bxHLOo+idOC6MwjhoWkfjmraegRVY0MmvRvcvRg7f26Mc+cmOHCgE88VTWEZicuX73Dt6gwPPzJCNBZA1Xz92JDawlChcM1ZAAAgAElEQVRkI/VsIPwkIFZ7Jl3Bk77OhCQjIdEdPIUvoLB7ZoKmKDzW10cyEKBm2xzr6OBMfz+aovCpffuo2Tb5ep2BeJxDbW0YqkpI1+mORvm1Bx8kqOmEdR1ZkvnE3r1cXpgnW6ujyzLJQOCeezG4rlTRFY3S1aSfDadSGx7mHRGfRfVB7u+gqZFOhMmXaqTj4R33rTse5VdOneDaQoZio4GuKAylkgym7o+5APcIuoasMhBJ4QqPjkAUc4ugW6m9iCeqxEI/SyLyqyhyBCEctrKekSQNTe2jbl9ZVd2SkNA1GVmSqNZsdF0lky3TcFxuL2aZzvqB9aGRXmJBv+61uFzmvdGF1VnpFeiaws9/9iSf/dgxouEPz19KkiQCpsbJY/2kEiHEn77KuUuTG2q984tFrt2aY6i3BW0Hta6gcRIktZmNQcA4vu17VxBVY5xpeYIXF17gd0d/m4SewJQ3B3eA/uAAH217BoBqzeLx0yMbHj5CCISXRtFPIIs60haUsX8IkJARShfIrUhYoB4CSQNRh20MGxWlH9OMI0khhDgIaMhy8O+tkftB8Pprtzj10BCPPrpntZ8hy36jrrU1ypkn9q5KDW6/atg4Teg/9JR1/35/x50OBjnT37/p9f0tW9PiRlIpRlKpTa/risLDPb1bfOL+cXdg+zBGpU1DY7gnTSRk0N+ZZKcVp+t5tEXCtEU2si88IXYsS2yFHYOu7bmcW57ix/O3qDkOv7b3EbqC8Q0baNg3kDEJmR9BkXdWyJeQkeWIL8nWFBQJmBpPnd5DayrK1dE5/vXv/B3HD/RgaAq6qvjiMbq2YSk6NZNlbnHj3L4kSTz16F6e/8hBIqG/Hz0GVZEZ7m/ly587xexCnum5tX3whODitWmeO3Ngx6BrORNYzgQ+W6JpnKcfQZG3J/sX7AIvLf6AscptTNnE9uxtNRjC6tpvsHe4ne//+BoPHx9Aazb52tIRTCMMRJFW9Ep32WRZgT8661FzbBqug+W52J7btBz3CwyyJKFKMrqiYCoaQVVDleTdX5yShIQBG0RMBBBju5tDloPASnlnPUF/+22uWKXXXJu662C5TtMFwFstlciS1GRC+G6vpqKhyPIHyuodx0VTlXUMGv/mlRWJeCKItguH2rux0vSsOfbqb+I2j2/lOBRJRpcVTFUlqOqosvK+j8NrfrfS/E1dIXA8D0PZ3UrsXsdQd5111xWr15Sx7ppSdrqm7rEPpUqDG9cW0DWFqbkcn3j8ANtdK9+8/B5nhvpoCYVWt1eo1XljcopnRoZ37D/djZ0baQiSRpDTLf3MVPJo8lZjlA2Q5KZt984QCISoI6FRq+OT84H9Q36j7QvPHuP5MweJhgwUWabWdN480texQQw7s1wiV9jIx00lQjxxeg+pRBjLcnAdj0BQx2o4CCEwDA3HcbEaDkbAt/EpFWvUKxbxVMi/+VyBbmp4nodtuciyhG6oG35UWZaaY8E9zC0WN5QZJqaz2PdolljOHarWeUDguss43hKyHFgtN2yFslNirDzKycRpnm3/GEk92Rxr3fmHrlYtrt2Y48r1NbnHX/m5RxnsusbKjS7LSZRVW/Sd4QlBpl5mspTjdnGJG/kME+Usc9UiS/UqVcfCER4yEqaikjSDdAZjDEZT7I+3kjJC9xPbVyEBR5KdtAbDIDyEsPBEHVnSQVKRUFanuXwxofWW9FtDCEHBqjNVzjFWWuZ6PsPt4hJz1SILtTJVx8L2XBRJJqBopM0Q3eE4I7E0++Nt9EeS9IXjxPXA+wowDz08zLlzY4B/Xjs74/T0pFZpabuFEIKKYzFbLTJVzvFebpHr+QVmKkUW62XKdoO66yBLYCoacd2kPRhlKJriSLKTwWiKnlCctBm679poqdHgVnYZV3gMJ1KM53OUrAb70y20h3dOwO4+Bkd43CnnGSst815ugWv5BcaLWRbrZWqOjScEpqISNwL0hOKMxFo4lGxnJJpmIJoirOobzpsEaPfI9F3PIx4JEAmZTC/kmcsUSSVCGFs88F68OcrhjjZa1jXuGo7D/3PpGh8ZGrivuu49ywt9oRS6rGI0VXTuviBUuZWGeA/buUPgHl14Ieo07Bsocpwrt6qM3/Fdcx3Xo9awMQ2Net2moyXK5589hixJVBoWdcvekMKXqg1q9Y110IGeFD0dCfLZCmPX52hpj5FIh5mdXCafLXPwgX4adYvxWwu0dycxDJU74xlmJpc58egwpUKN/HKZfUd6KOZrLMzm6BtupbVjcwYqSRIPHunjpdevU1sXdLP5Cp63c9CNBj9GNPgxADyvRrH2t6sGkNshrIbZF9lPRItgKiYy9w64AD/9qRN88RPHN9DxNE3Bs52mEHQMSY7DPS5OIQSLtTJnM1O8Oj/OW4tTTFfy29J1PARlx6Jctpgq53lzcfKe+7oTJOB3Hv0cHwuM0HBuI0shHG8Z180jsNDVPmxnFlVpRVe7UaTtb3ghBNlGlXeWZnhzcZK3Fie5Wdiea+kKF8tzKdh1bpeW+fHcbTRZYSCS5HRrL090DHEi3U1U376cJUkShw5309a6ln0//MgIiiIzOjqPLMsk4j6LZGioFce9N8tBCEHNsbmwPMtbi5OcX7rD5ew8FWfra8kVYHsNSnaDO5UCZzN3+Muxi3QGYxxPd/NQay+PdwzSHth9H6RsW1xdWqRiWeTrdS5nFtiTTHNjeem+gu5crcTLs7d4cfoWl7KzFKz61ttzLMqOxXSlwE8WJ9FkheFomjMdgzzbvYdDiXZUeUW3QyKo7mx3FDR1wgGDuUyBRDRItlglFgmwwh7zhKBYb5Cv1anaNrPFYtOy3R+ZvpVZbtq83x92DLqu8BgrLTFZyRJSdbbKHkzjAcq1FynXXyJoPoK6g8Fitf4qDfs6pnaEztajfsC2Hd6+NMFgT5q2VISF5RILyyVfc0Hxl3B3U8Js292UUaaTYRLxIPn5IsV8hb2Hu5m7s8yNy9PUqg26etMsZ4rcujKD5wmsuk1LRwxVVViYyTN1e5FG3aajO0l+uYLruESi29Op+ruTmxgR9Ya96wGLFVsS18sjJHvHd/oiJEmuFa4yV5slrifQZX3LwNsZ6ORU8iHAZy98/5X3KJb8VUHQ1PnMc0fp6vCtiHYj/Gy5LheWp/mrsUu8sTDBQq30gbiRHwQCl4Z9C13txXULNJzbgITrZbGcGcLmo0jS1tcp+OWyd5Zm+Ob4Zd5cnGS2WrhvYvvK99wsZLhVWOK1+XE+0jHE5/oPsy/euuV0oqLInDq1UUBd11Uee3wvjz2+cXT74KHuXe3DZDnH12+/y4/mbjNeymJvY9S6E1whuFPJc6eS59X5MV6bH+dnho5xqrV3y1Xt3TAUhaCmYbku78zPkq/XOdnRhbfLK8TxPM4vTTePY3TbYLsdbM/lvfwCtwoZzmXu8Pn+wzzfu4+Y7jfsdnoQ+hDYrks0bBIK6Bwa3mi34wnBjUyGb1+9wdhyln//xtlVvzaEoGrbnBnsv+8Vwj2CrqDmWiT0IP3hJKa6uZEWNp8hr/wRldoPyCATDf0UprZeXtDDdueo1F4kV/p9JGSC5sN0tz7EoWGTfLHKxRvT/NRzD/iZbsPmf/+jlynXGsznS36dyPU2Lh2kFfWpta2sDDsgSaRaokTjQUqFKpIsoygymq4wPbFEpVxHuB7xVJiJmwuUClWG9negagpWwyEQMqiUG4RiJsHw9rXhaCTwvkags+WvUqp+r/kvgaKkSIZ/ecfPFOwC53NnqTgVxitjKJKybXnhaPzYatD93o+uEg4a3JnNsX+4jdmFAq7nIdwl7NpfI0Qd1fwIqn6CrQKV7bl8f+YG/+fV1xl7nzf2hwkJjaBxCgkVVenA0IaQJA0hLEKGhyInkbd4kAghcIXgL8cu8oc3zzJVzn8oxyIQjJf88sqF5Rl+ac8pnukawVDULbPFrQaAdsJWCnoCeHNxkn9/7Q3eWZqh5u78wN4tso0q352+zs1ihi8MHOGnBo4S07du1q4gbpocbe1grlzioa4e8vUas+USD7Tt7BUmhMDyXF6cvsnvXX+TG4VF7HusEHeCIzzeWZpmqpxnspzjF/ecJGUGiWk7B91CuU7DcuhsiXF7egnPExt49rIkMZxK8YUjBxnL5vj4vj10NrVnJCQCmspwOvXhBl2l2UC4lp9norzMs537Sd3lnqkqHbTEf4OF3H9HqfZ3lOsvIUsBHHcB18sxs/SLCGH7CvBAOPBx4uFfWr05JEmi0XC4dHOG3o4k49PLWLbfZBjpSNORiJIMb+S+moY/WbaeveB5Hp4n6OpL0dHjz4O3dyd55jPHcF0PM6Dz5CeO4jguhqmhKDJ9w63IsoRhanT3p3FtFyOoE0uG/Azb8yX2hBCrneUVWLaz6SYKhYwthyNg5YZpEDQexlD3ABKKHEJV2lDkOJ6obzsy3WF28N/s/Vc7/VSr0Nc5yC4tl3n81DDlaoPPf/wBvvY35yhVGghRQlYH8NwpthM9tz2Xv528xv908Ycs1Ss7blOTZXRZbTY11oJcw3VwxPu/mSR82qIuK80mnIyqtDT/tja+vfbuzfDLCTV+/8ab/OXti+SsD1+bo+46XFye5TfPv8BUOceXR44T0zfztRcbOS7kbjIQ7iSpR1ElhbxVwvJs2s0UFbeOKinM15cZCXcTUNeChhB+yeZvJq/whzfOMlnK7Tqj3C08IbhVWOJ3r7zG7eISv7bvYfojyW2TCVnyaWArza62UJjj7Z07WqGLZtPymxNX+HdXX2fxQ1o5CfwBrj+6dY7lRpX//OCjJM2dB3+SsRB2weX6+AJ7+ls39RtkSSIVCpIMBni0v5czQ/10xaIbrrT3U8/fMejKkkxHIAZJiZCqE9aMTfQISVIImU/Qkfpd8qU/oGFfwfGWWNGKdZwFZDmCpvYSDjxHMvJPkdexHEJBg+fPHOCvf3CJcs0iHND56Y8dJxQwmFou8JObkzx5aIhkeK0Jk4yHiITNDUG3WrepN2wCsSA0aTOKIhMMmyxMZ1mayaE31eCLy2U8T+C5HpIEtuUSigawGjaNqkVLZ4LcUgnP84O1LEt09rcgretQFoq1TWWPzrb4lkMYQrhYzgSVxmtY9lhTP1dFV7sJGKdR5Dh1610igedQpM01ZFXWSBlNY1AhqLk1am4NgS94E1QCqNLmentrSwTXE7iu4LW3b7Oc84OnrAwghIUsGiCZ3B2wPCF4Y2GC//XSj7YNuLIkkTZC9EYS7I21sCfWQsIIoMsqddcmb9W4nl/kRj7DVDlHtlHboG97N4KqRkQzCKgaQVUnpOrEdJP2QJTOUJQ9sabP26bgujMzYa5a4t9de52/mbhyz6xQliQimkFYNTAVX6/CE4KG51JxGhSs+rZjnwLIWzV+5+qrNFyHf7zvFPG7Aq/tORTsMtcK4+iy1tTR8Fct10tTFKwyCT1MUA0wFF4T0RFCULIb/NnoBX7/xpvkGjs/OCQkQqpGuHk+FUlGILA9l6pjU7TqWDtk+mXH4i/HLpGt1/j1Y08yGEltGVwK9TrfvX2TimWTDARImCZ7UjvLHXoIXp4Z5X+5+COK9r3LCSvXgan4D3VPCOqeQ9luULYbm8pDddfhG+OXMGSFEy33EpISHN3TycGhdkrVxo7UvH/+6Ol77utucU/K2K1ihqt5v/v9qZ4jtAc2F8glSSVonMTQ9tKwLtOw38NxFxGigSwHUZVOTP0ohrYfSdpYolAVmZOH+jiyp4ta3SJg6uiar7k51JbC1FVSkY3ZdVtLlFQ8xOLSmvh3oVSjVKmT2EKZ7Po7E+QzJVq6EoTjQaZuzdOoWsiK3Ay8EsNHeghHA5SLNYyAztWzY1g1PwDLskRbTwp5XUCdmc9vko8c6kujqZuDrucVyZX/EJAJGA80M9sGln2TfPmPARlDOwA72Pb4qlZFbpdHGavcZrmxhCtcgmqINqON4fAIg+HBDZbfz545QCho8MChbl5/+zZ9PSk622IIkUO4UyAnkbZoOt0p5/jDm2dZrG32WwO/wXqqtYdP9h7g8Y5BWszwltmQJwRz1SIvz47yd1Pv8e7yzJY3uyLJHE128vmBw7SYYdKBEK2BCAl9cwnnfpBtVPnjW+f59tS1HQNuWDPYH29lJJZmIJKiMxglrgdQZRnH8yjZDeZrJW4VMtwqZLhRyGxbf7Q9jz8ZPU9MN/nZoQcIrRN3CakB9kR6UCUVF281iBiyBghUScHyHAQCbd3vaHsu371zna/ceHvHgKtKMnviLeyPtzEYTdIVjJEwgpiKitfMlJfqFSZLWW4UMlzNzrNY3/o3Bnhp9hYJI8CvH31qy6zRFR4xw2AokaTj/2XvzYPsuq87v8/d33373vuGBhpo7AAJEtxAUqSs3ZIla6SRd88kmowzqmRqJjOVqaQqU5mamXIqScWu8diekZexI9uybEmWKWqhRFEUCZIACGIHGmj0vvfb17vmj/u60Q9vaUDSJKlUvvpDxHuv313eveee3znf8/0GQx1HgnfiTmGT37n+5q4Bt0cPciIxyKF4DyPB+PYD3XJsckaV5UqBu8UMU/l1rmZXWxqIfz1zhaVKocO3e1haL5Axy1RrJhv5Ch87011edLlQZKNcxt7Bz1ckkcl06qG0tXctLyS0ALrkWYnvdlIlMYzf9xR+31MPvAOmZXPh2jznrsxhmt4NmYwF+cyHThLUVfbrrYTsob4YA71RbtxZ3V7iL63kWNsoMtzfKr7hC6js7Rsi1R/Dp6v4gxoLd9ZI9kUJxwKIkkg4FkD1Kag+BZ+uMnlyFH9QQw/4KGRKLWWD964vYlr3AogsiRzZ3+89MO6D7ZYwrHn647+5vTwGcLQzbBb/PZazTjTw84hCZ9m7zfoG31t7hXcyb2O5JmElgohItTLHOetten19fKD3QzwaP7WdDY4OedlxIh7g5JFhZElClkUc8y6ONYcoj+LSPEZtOTavLE3x3uZS2+WrLIi8MLCX3zj0NBORVNegKAoCA4EInx0/wdF4H7999Uf8YPlOS8nBdV0cXI7G+9kbaZ8pFUs1Lrw3SywaYGQwjmHZpBKdO+Q12+Tbi7f465lLlMx6x88djPbw83uOcSo1xFgo3qItsnMfDcdmurDJuY15/nb2Ohczi21rkXmjxp/evkCvP8TPDO7fbkrF1BAx1Wuc7cz6t36vdq8BXM4s8x9uvMVmvXOZp1cP8dHhg7wwsI8D0XTXJpLjuiyUc5xfX+BbCzd5Y3WmI+vhm/M3GAvF+bX9j6FJzde2X1FQRIlbmxuslErEfD76Q51F1yuWwZ9Mned2YaPjZxRR4rHUEJ8YPcyTPWP06MGOGWjVMpkpZnh99S5/Of0etwv3Rq2rtsmry3c6bgdAlSV8gse53i1oXl9d54/PvUumWqVqmMiiRNU0OTnYx0Qq+VDOhLsEXZGw6iOs+pAEsTsR+cdEpWbw3Tdv4vepWLaNqshkCuWuS9FQQOPEwSHOXZrd1s9dWS8wdXeNI/v7t0W7t3DgxCjBsI4oefsfivlJ98fxh33b5YCt4xoY84JisqH1ChDvab6Q5pezXJtabuLojo+k2DOcalvT9aaEXEx7CVlKssWRddwCjltAV442Xm+Pml3l7cxbnM++w7HoMY5GjhNSQggImI7Jen2dH6x/n++svky/3s+A7nXAv/LSu3zguYOEAj50n8qrb9xibDjBUK8P18niWCBKzVqwC+U8b67OdszkxsMJ/uGhpzkQ7S5FuROyKHIk3scXDj/DdHGTu8VM0/sOLlcyK3xz/gb/VejJto2JN9++g207LCxlkWWRQrHWMei6rst8Kccf3XqH9S716Kd7x/iNg09xPDGwqxCLIAhoksxkrIc94QSPpob5/Rtn+dvZa23r1vOlHF+6/S5joQQHY62MnnZN0HavVS2TL956h7vFzZb3tnAw2sPfO/A4z/eNE96l+QXew3A4GNumi31l5hJfuv0umXqrcE/ZMvjLu5fYH03zfP/epvc0Seb0wBBVy2Pt7NacPLs2y2vL0x0/p4oSPzO4n89PPoG5UGdubY01X5bMZolUKtwY8HGZn8sQiegcPznCZKyHsVCcfeEU/+7ajzi/0dkA9H70JELEZT+maXcdaAJ46fotQprKgXSKcwuLfPrYYV6+cYug1p2W1g5dg67h2MyVMyiiSLqDctRujYzdYNsOdcPi6UfGKZXrnHl0nH/3pR92tdkRBIEzp/fxw3dub6uMGabNyz+4xrHJQQ7s623KwCLxYMvfh+Pthzma69Wt3eNKzeCr37rI3OK9wOHTFN5/ZpL+nkjbC16S4oT097OW+zfIUgpJjOO6NUx7AU3ZT8D3TNdzlDVznMu+w9HIcT7a/7OE5XDTdvYExxnQB/i96d/hQvY8vWo/pmVz8/YqTz46jiyJuC7cvLNCNKIz3N+LGvz7noaBcK/u6Lou13NrXNpcbrsfkiDwy/sepQ8/G8s5BFFAUeXtgROjUWP3+VX892lQCILAZDTNZ8aP828vfq/lkVq2DN5cm+H9gxNtA3qhWGX/vl6WVnKUSnXq9c7lgrpt8Ue3znE73z6jkgSRFwf28YXDzzARSbZM913K3UERZRJqGFmUMRyzsdz3SgCSKHEgkuK/O/o8iiDy1ZkrLYHXweXcxjx/ffcyff7Q9hBF0agxV85xu7BO0azzC+OPdAySjuvw1ZkrnF2d6eB9K3As0cd/e+RZHksN7/rguB+yKDIcjPJfHjhNXPPzW1deJ9em0ThbyjYeIHFGgjEEQcB2HOq2jSp5U3V12+atpXlGo+1FzTdrZf5m9hpLlVa9FPB+k+f69/JPjj7HQCDCG5dvUijUcF0XRZHIZsvE4gHyuQqCCKGQbzs79ckKT/eO4ZcV/tfLP+Dc+kLXpG0LpUqdc1fnsCyH/nSY00dGO/4Ws9kcnz52CF1RmM/lOT0yxGAkzG+9fhbbcdklZjdh11nDimUwVVhnrVpiJBgnoDTTqByn5GVwYhpRjHSd97adIqY1jySGkKU+BMEzdItH/IiCwNpmkfduLlKpGruesmhY5xd+7jHml7MsrnjjuHdm1/nil9/gN37pWUaH2hf/f1y4rks2X+Hr33mPb792fVvdTJZFnj41zjOn9nYUMhfQiAY+S8D3LHXzBraTQxB8aPIeVGUvAt2flnW7RskqMRIYaQm44AmX9+n9JNQkq7UVVtcLXLgyz8z8Jl//9nvoPgXDsMnkKgT9Go49j+tkEJXJpu+p2iY3c2tsdFjG7oukeDQ+yNTFeTJrBaoVg96hBHdvLJMeiBKK+LlzbZFjp/dy4PhwU+MRvAzr/QMT/Mcbb7PeppZ4I7fGlcwy+yOplmMcHU5y8fI8i8s5dF3l1InRjufrSnaFlxdudAxUJ5MDfH7yibbb8fZTZLa8yo38HDEthCiIbNYLhGUdTVIY9KcIBvro0YP8xqGnWK2WeH1lumV7puPw1dkrnOnbw1O9o3g+ZLBRK+E5gfixXAelgwLabCnH12avkOuw6hgMRPgHk0/yZM9o1zKP47jU6yb1mkm1ahCPB9F83mpQEASCisYv7D3JQjnHH90811JWclyXt9ZmeWVxil/c9wiaJJOpVTm7OM9mpcJCsYCIQN6o8ckDrXVR13U5tz7PhY2FjrzooUCULxx6msGAl7g8+dSEx2TfMaEuCJ43QkPDp4ltIIsij6aG+JWJU6xUisyXc2220gzTsomGdOZXcm3VCnci7veRq9ZI+P2Yjs3l5VU0SSJT6d4gboddVcYG/TEy9Qp+WUVtQ5iu1N9iI/+bhPw/Syz06wh0ljY0rTmWN/8hPu0kyfA/RpGH8OsqH3rGU+da3Szy3TdvcvrYKMoujruCIHD0wACf+/gp/uAv3mCj0Zl/6927iILApz58gv17eom0cQx+WNTqJremV/nu6zf4zus3KJYaLg2SyJH9A3zygycY6O2sneBtX0aVh1B3MaFs+/eNheeWtnE7OK6D6RpIgkQkrDPcHyca9ZOIBtB1FUkUeObxvQwPxhFEG9u4AK6JKO9FkL1yRMGoM3Pf0n8njif6iel+9JEkpUIVWZFRVImRfT1EE0EkWeTk0xP0DiUQ2pVZBIGI6uNovI9XlqZa3vfGcnPUbKultjo50UdvT4TJiTy6T2FkqFVgBbya9FfuXqJotK/jJn1+PjF6mMOx3o7XRUINYzVMKBVRpmhViKshwoofw7aQhXtTTwP+CJ/be4I7hY22jZtMvcLXZ69yIjlAUNEIqz72RVIoooTtuh2HEGzH4QdLt5nKr7d9XxElXhzYx/P947s2Gy3LZubuOjPT66yu5HnxA0cYGIw1Hb8siPzi3kd4feUuU21WCCXL4JWlKZ7pHWMimiblD3BmeJTNaoXeQBBZFHlrcbHt9kuWwYWNRZbK7RtbAvCR4QNM7ijDiJ3GarsUT0VB4OneMV7rGWFlprAr9zcc9CHFvLvrwFi6a5x4cnQE07ZJhwLEdZ3fffNtbMdlfzr5UHZd8ACZripKJLRAx1heMy5gWNMY5hRdzwggiQlcTGr186xlrmDb3rJf96mYlsPJg0Mc2ttHQFcfqGstigIvPjOJYdr81cvvMr+UxXXh7IW7zC1lOHl4mAN7e9kzlGSwL0ok9GBz8o7jUizXWN0oML+U5cadFS5cmef23bXtzqUgCBza18evfPo0h/Z3J4P/pNAlnZga52bxBofCh0hpzReI7dpcL1wjZ+Z5NPYYAb/G0YMDfLJynOOHh9B99wKYV6eOIqmnAAthh+1PxTJYqXa2gx8LxQmqGvFRP5FEEMuwmkxDd6LTeVZFmfFwom3QBViq5CkYtZage+HSHPv39pDJlcnnqyDAoQOt3mQzxSzvbS61rbOKCByK9fJ8/15P26NqMn1nlX0TvV45y3URRIGEFCERiDQU2VwEVWBjvUg8EcQXbN4vSRQ5kRzgqd4xvnXQyfgAACAASURBVDJ9qW3z8bWVaZYqBSYiKQzbYqVSIGtUiWsBenztG0XrtRLnNxY7ZrlJn59P7Tm2PfbaDZIk4vMpxOMBUqkQ/kDrykoQBPr8YT41dpTffO9V7Dbn73JmmavZVfaEE8iiRETzEdG8hp3juhxJt6/zL5XzXMmudOQVxzQ/HxqabPvewyKkaDzXN86rS3e6MjPAkx8wbQefJjcxEtrhqdFhBAF8isLHD0/SEwpiOQ7PjI2i/DSDrunYrNdKBGSV5WqBimUQVpozR8OaQxAUNOUgotBd3UsUNFR5nJpxnrNXznH9trdOMEybUrlGwK9RqtTZM5jk8595ClXs/kwQBIGArvLBZw8iCPBnXz/HynrB684u51hazfPa21Ok4yHisQCxiJ94xE8w4BnRbdG7XNfFshxqdZNipU42VyFXqJIvVtnMltjIlpuaZgD9PRE+8sJhNFXm3KVZyhXP2sey7B+b7O3TZN7/9GQL1zeiRDkRfYRX1r7N/zn3pxwMHyLtSyMJEmWrzHxljiuFy8TVBMdj96QiDx/oR1PbiBQ5RWzzSmNkVkISvY664VjkulCSEloARfQUpILh7mLtnSCLYsuAzU7kjVpbetfSco54LMDd2Q327Umztl7kUBvt8LNrsx2pbn5Z4ZneMdINjehyucb8/CalUs27lgIatZqBZTn4fAprawX6+2PYtsP6WoGTj46h660BK6EFeDw9zA+W77TddrZe5Y2Vu0xEUpQtg/VaiaVKgcVynmPx/rbdkNuFDa7nVjuep8dSw4wFO5tC7oQoCiSTITRVQRQF/H6tbaBXRcn73lC8LcOgYpm8sTrDc/3jxLRmCpnl2FxeW+WZ4dGm113XZalS4GZureP+PZoaIu0LcmcjgygITK1vsFQo8vPHDhHUHl4x8FR6mLQ/uGvQVWTPxuvqnWUy+Qp9yc7Mi63xX9d1GY5FGY0/2Llvh65RTRVlkr4AFzbn0SWlrYCE42QRkFHkBxDCFmRkKY3jVDh5KMGpQ49RqRm89No1PnzmIL3JMCubRc5fmdtVw2Dq7hqXby5yZ3aD2YVN1jaLZPLN3VfHccnlq+TyVbjbkIZTJGRJRBSF7Wzaqx25OI43cmyZ9q7eRxuZEn/0l2dxHBfbdrAdB9t2H3rUcyfi0QDve2J/S9BVRZUnEk9iuxavb/yQ+dU5ZEH2puZwMB2T0cAYH+//OeLKPcrcf/rKWT75oRP0ppvdPlwniygmGrq+5cYZELAch5rdvoThSerJP7FIuSgIBLsIkVQts213OxLRefm7V3j+mQNIkkAu39ppr1pmV8GUiKrzfP/e7YCjaTKpVJi11TyCKJBKhVjfKFJsMGJqNZPx8R7yhSqVqtExexcFgePxAcZDibZB13EdfrA8zS9PnCKkaPTqYRbKeSYiybbn03RspvIbzJfa1yUF8KhoD9g4cxyXXK7C3TtrLC9lefrZA/QPxFqORxAEBgMRHksPd6R1vbk2S86oUqgZ/MF7F/A1ps8sx6FYr7cE3S2aXbsG3RbO9I6hCBIzmSyFeh1JEKmaFhXDJKA2q4etrRVYWMoyO7fJvvE0hw4OtBxHTNU5HOvjRnat60RkrWayulbkkckhUrHuLsV1y+KrV67zrZtTHOxJ8xtPPc6djQz5Wo3TI0MPVWLYtbwQVnQORHpB8J6ErR39hx3zlHGxiYZUYqE42XyFYrnG0YkB/LpKKh7k5R9e68peAPjrb13k5VevYjcmyx4k1Dmui2FYu/g0PBjqhsXSavtO7I8LRZHaN38EgZAc4md6PsDJ2KNMlW6yWlvFdixCSpjRwCjD/lECkr/p9ykUa7RjlYjSAKZ5C0EQkdRmIZaHbQr8OLDpfM14otCtr79wZpIzT06gqTKVitHEkd7CbCnLbDHXcRm7JxxnaEd2GAz6OHZ8ePtak2WRwaGE9+BsiOnKkojjwqGDA8g7WtSWYyMK4vaDezgYZW8kyTvr8608ZOBuMcNCOUefP8x4OMm+SIp6hwdctl7lWna1Y8Do9YfZF0nxoIq+oigQiweQ5V4sy+5aYotpfg7HevHLChWrdcWxUikwld/gRHyQD4/v41Daq8Mals0P51vV5EqmwfXcaserKq7p7Iuk0BWFgKpwfmGR90/sxXUd5DYPFcOwWFstoGsKiiy1lYIWBIHjiX6+NnO5q2KbpsoMpL0ykiSKXcXIv3Vjiu/fnmY4GmWp4GnC2K7DVy5f45HBgZ9e0DUdm2u5ZVZqBQb80bYXgSylqBkmpjXL9pXaCa73OVHwb+vvyrJIMKDx1Vcu0ZMMsbyWJxbSO2oYbO+bZWOY/88KsPzfCUEQkAWFXl8vvb7eB/qbseEkr79zmwPjPdv0muGBOAHdRPE9h3Cf6LwsSugdstAt0XIHly3Z64plsF4rNnRyBSqWQUjxUTbrjUkswWs8idL2Ksl2nY5NLvDoPztrZJZl47oetdBxXKo1k7nFDJZlE481lykWSrmOS0oRgaPx/qZegSAILQal7e4d0Ts59/bJsblZWGEkkCDYEFWRRJF9kRRBRWub1ZUtwwukjsON/Co9eoj5cpaPDR/mfhnxvFFlugsvdzKaJqS0LxG0g+O4bKwVuHp5kWgsQDjSubexNdDSq4fb7oMLXMos83z/Xh4buNcU1mWXpwZbXSJqtslMMdtx30aDcSKqjiJJPDo0wP6eFD5ZZk8iTlBTW/azt+EWHQ7rnrB5hzixL9JocHUJEcVKnevXV6g25GTf99hEx+j1o5k5PnX0EEFV5cuXrgKeBft6qftMQTt0DboCEFA0/Kba6KC37pKmHKRUfZlK/S1C1idQ5Nbmxhbq1hR18zKylN52CPbrKh999jCvX5jmyq0lQgEfH3v+yK7shf8fuyMS0jl74S4rq3mkRtD46AtHUIVXAAlRSiNKY4iN30wTZeJthFq2sFotYtg2euO7toJPvz/KUjlHzTE5GOknZ1SoO576f9IXJKEF8cte2cN0nK7jmVFVb2qirW0UMQyL6ZkNCoUqsiyyuJJjeDDOscPNTJDVWolsG4I/eNnQeLi7LsAWLmbmWK8XiasBDkb7uV1cY6WaRxUljkSHmCmt89LiJY7GhjgRH2Eo4B3bSDBGQFbaBt2abTJdzLA/msJyHfJGlX5/pK2TbNE0WCx3XkWNhuL4pF0XqdsQBE/UKZkKgUBLf+J+JH0B0nqwY+C/nd9oKb/ZjsNcIU/C31zrrdtW19+7LxAmqKheHyZf4NXbdzk20IfruhxIJ9GVZk2RfL6KpikEd7Hj6vdHdpWnlGWR3kSY6YVNwgFf13XDlgX9TqwWy9vllYfBLpQxiX5/BMOxUEW5LaMg4HuWTOn3qBrnyBZ/n1jo15GloaYT5eJQN66RKfw2tpNH155AVbwuiCSKTIymGRtMYBgWqiIjy+KP5TDw/wVYtk2pUMevqeiNyTrHdTAdA1GQUMRmJkLGyLBSW8Yv+xnyDyPvmNk/dnCQifHmaahEPIgo9oPrIAjhJr+xoKIyGIzy1vpc2327lV+nbBnbQTGs6qR8IWZLm0wV1ggrPpbVHHXHYq1aRJcV4m6AsnUvs63bFje6NFX6/aGmEVa/rqKpMqVyjXQqRDDow3VdT8ZzB2zHIVOrUDbbF48EBIYC9ztZt2K9VuDdzAwT4T7ulNaQBIGwohOSfUwVV/BLGrLoTWeGFF/TaGyvHmrrIwieLvFCKcdQIEZc8+O6nubD/fDEbWptp8O20OcPt4zkdoNl2WysF70hg0yJcqlOONw5242qOjGt88N3tpRlqVTkW7entpfVpm2zWi5xovcek8d1XWq2xWaXqcCkFkCXFEzb5m4my2a5QrFWYzabYyAS3nYi3kKlUufSlQX2jfeQTIaIdxhy0mWFiOLrqlUhCgKpWBBFlhjsiXZdOTw5OszfXr/FaDzKRqnMyzemePX2NMf7e3+60o6O67BcyXO7sE5Q9jEajLe4R6jKOJHAZ8kUfot8+UtUjXfwqcdR5XEEQcdx8tStm9SNS9TN2yjSEGH/J5Alj15imBbfev06r5y9uV0u6E9H+Ke//mLHYQOAPUNJTh0bfaiDbUGjedaJE+g2mmSS7I0Pu27j36KA8GPaPndDJOijUKlzeXaF43v6t4Nu2S7zyup3EBB4Pv0CYSWM7drcKFznpZVvkDUyyILCo/FTfKT3o0gN1kc6FWJhKcvtmXViET97x9IN+tijuE4BsBGEe5lJRPWxP5JCEsS2lKG31+dZq5ZIaPdqx/tCPQz6o5yIDyMKApqo4OB4IvSihCLcq1O7rstMMcO17Er741d9jITiTYEr2hAwOvPkBIGAhiJLjAwlWmq6Ndskb1Q71nNFQSCld2+WAMyXM1zLL1NzPL+0AT3GcjXPeq3Iai1Pvx7jUHSAPn+EyUg/ad+9jndKD3QMhpbrkKl7lkZvr8+xWS+T0AK80D/RlMzYrsNmrdJxiEDAy0TbZXGZapWaaZIKBLY93LZKKLFYgKtXFlAVGb+/+zBOWNUId9GizdYr1C2LdCDA4R013bOL802fc4GCUevazIppfrSGopsiSuRqNabWN8lXa9veazsRCuskk6FtplAniI3vnil1Lm3cXdhkea5ALOxnPVuiL9k6eLSFFyfGqVkWL12/xd3NLF+6cIlTQwN8/PDkT1/E3DO1E1ivFTvIwSnEgr+G61Yplr9K3bhKzbiC5wYsAg6uayIIMqo8Sjz8BYL6zyA0COblqsG5K3M8dWIc07aJhf0sreVaMl3LsjEtG02VEUWRn33/UV546gCyJCIrEo7tYDUCoix7N7ppWggI3ly1AJblYJo2qiIhySL5fJX3Ls1z5hnPTttqOFJoqowoCczObvK333yPT37iEXp7I6yvF3np5UscPzrMsaNDWLazPWLrOI7HOvgJMnRREKiYJpWaQalaJxXxaqUls8jF3AUmw4dQRaWR4W7yzZVvkDEyHAofJmtkeHPzDUb8oxyLHgc8butL37tCXzpCNl/h/OU5fu6Dx4mFlrBq30OURxGVA0iily0oosShWC97QnGm2nSv16pFvjZ7heHg09tZWlDR7ilpNeLE1gPqflQskz+/c5FqhwbSRCTFoVhP2xXV7ek1JsZ7UMI6+XyFStUguWO8u2qbFLsI2wQU9YGyw4QvxGgwyQu9B9EkhaJZ5UZhmWOxIeyc4ymAiRKW47BZLxFR9O06eFDRuo7iViyDjXoZVZSo2SYbberPtuuS6SJss2XI2O4ycxyH79y5Q8UwOJhOMxaLkQoE8Mky6d4IsXiAatVE70AZu38bnWA6DrIs8NF9B5BFEdP2/ATvLy24uF1ZC+CtrlRRQhQEDvV5mrbZSpXn9+0h5m/Nxu/OrGM2tKztLsMPgiDs6hyRiAbQLJl0PMj8Sq6rP2tI0/jUkUN88MA+LNtBFAR0RcGntBes74buHmmSzHAwzkq1wFAg2sLR3To4WUqRDP9TAr5nKVW/jWHewXFLuK6NIChIYghVmSTs/ySacrC59NA40t5UiFyxxgunJ/jXv/dtr+7U+N1N0+LGjWWKpTrJZIg9Y0nm5jbZ2CiSSoUZHIgxM79JuVwHBI4fHaJYrDF9dx3Xhf0Tvei6wrWbi5iWw9hokv6+KDN3N4hH/YQCPhzH5c7yGiurOUJBnePHhjl8cID33pvDr6uEAj5CAR/79/Wi+xT8usqd6TUSiSC25VAq1RkYiKFpD1/jafpBTInxvuZpK8MxqNgVUloan6RjuzZTxSnmKvN8tO9jvC/9ImWrzP9y699yvXBtO+h+9/Ub/Mqnn2B0KEG1ZvKHf/Emiys54iEFUR5ClMcQdwxHCILAgWiax9MjzJSyLdQtF/jzOxfZF07yoaHJ7WC7XevfcWncf50UjBp/PXOZby3cbHvcflnhdHqEfeH2Nt9Td1YZ6I8RCvnYzJbJ5iscmLi3lDVth1oX+caArD3QwM1IIMHBSD9vrE8RVf0ciQ4RVwPcyC8TUbxySlT1MxSIc37zLoooMRH2+hOSIKLLakPOqBWm46CJMoOBKGu1Ikdi/S375LhuxxIJgE+St7nS9yOq67xvzx5urK/zg5kZzs7Pc6yvj6cGhlia8yYN70ytcuKRUfr6O/NMRUHA13BvbpelunhC5JIgMJPLcnF1maeHRqnc52Xout6DpuN2GgamUkNCc6NcQRQE9qdT9ITay4UuLmZZXSsQCvpIpzrzagWErg8OgN5kmLxdZXEtz8E9vV2b98uFIj5ZJqr/5BOuXSOEpyVaI6z6UEW5K3dVFP0EfM/h185gO5vYziauayAIOrKUQhTCbXUZFFlipC+GqsjMLWX4k795B0FodmlYWMzyvR/cIBb1c+nKAsnEKa5eW8R1oScdoVSuc/PmCoODMW7eXCYRDzB1e5WZ2Q2qVRPbtkmmQty8tcITp/duT2iFQj7eOHubJ07vxXVdCoUqG+sl3jw7zbGjQ91PrgDVmsnFRlAGGBryGiqOW8O21xCFcEOw3W1k/rujWKlze2mTw6P3xlRdvNWGJnrZpemYnM+eo8/Xy2T4ILIoo8s6USVK3rzXgBEEAathnOc4zvYNIYgRBMHvOUcIGoJ47waMajrvH5zg7NpsW65m0azzf1x9naxR5cWBCYYC0a7LK9OxmS1m+eb8df7szsW2EoICcCDaw4eGDnTknsZigYa0o5+l5TzDg80SnrbrYHXJfB50ash14bmeyaaMZzzUOmn1gf4jLa952+mc6dquQ8UyqDsWvXqYvFFt4fu4uF0FxiVR7PjwyFQqXFxexnVd/s7hw/SFQnxzaspj+tS91YWqyi2MjXaQt+hwbW551/Vq84V6nUtrK/xofo5DqTQ/nJtlJHoSecf+dRvFlURhu5EoCgK6LJOpVJnJZKnftRlPxnlksB+/ukOTOKARjfip1UxKpe6avA/ymx/c08vekRTzxTw3NtfJ1qokdD9hVaMncG9a8MvvXeHEQB9PjY38xFz1XY0p12slDNumV488UO1iy1Jlp25sN+g+lQ8+M4nuU7Fsh+n5DT7y7OEmqbVstkIqGWTf3l4URULTZB59ZIz5hQw3p1Y49egYwaDGQH+MzGaZUqlOrWYyOpIkkQjS2xMhkynR1xdl3957jaVY1I/UeLqtbxTJ5Sv09UWZnd/sutQA7yLp64lw6dI88XiAveNpz2nXqVKqvkS59iph/6fQ1INUaj8kHPjU9t+WawZ10yIWbF0+BXWVyeE0wR2TT5IgIQsyNbvquSHUllmoznE8epJe347GReN/W3j8xCh/9dJFUvEgxXIN3aeQToZA9CGqx3Htddw2o9snkwN8ZHiS/3DjrbZBcrGc599fe4M3Vmc4kRhgMtbDaDBGSNFQRQmj8bCeLWW5klnh/MYCVzLLFDos/6Oqzi/ufYR9kc7XzKPHR7lyfZFCocpAf5SJvc0NQpf22eUWRKGVe+O6LjOlTUzH4Z2NWU6nRulTI5SrBslo4MfKaBpCoW33xsWlbHllhYjq41Z+nVOpkZbtdE1uOrCIADRZ5tGBAVKBACLeQ/f5sTHCfp3AgT7qNYue3gjhB5gm9M5Xp+P37JjcxjY0WeJONkvdslr+ol1vYAs77eYFwK8q+GSZ5brplSYqNV6bnuWDB/Zt/01fb5TBxmBHIt69Rn+/elwn2K7D3VyGpWIRB5eJWJLlUomewL3vv7OZ4fhA308ccGGXoFuy6tzIryAgkDUqJDT/dpPjQSavHuSilUSBZCzI6kaReNhPaP8APq25ZjU2luLa9UVm5zbobyyLFhezLC/nyDcmk9Y3irz6gxsUizUeeWQU13V57/I81arB0GCcvr4YZ9+eJpercOjgAIODMX70xhS3p9e4cHGWcEhnenqdQMDLJut1k1tTq9ycWkZVZV584SDr60XeuzRHIOBjYCBGOKwTCvnIZMoMnPEyL9vJUKm/jSjGsJx1dCFAqfbdpqBr2TavXJiiZlic2j/IeH8SudHMq9RNljMFojt84fySn7Svhwu584iCxJX8JURB5GTskW02g4tL0SqS0u5lZadPjBHQNRZXcgz2xziwt5dUPIhjXsU2L+O6JSRlEuRmfqVfVvns+AmuZVd5ZXGqbXMqZ9R4bXma8+sLxDSdSGM1tGVxYzgWeaNGpl7tvsQUBH554lFe6B/CdnJU7TVkMYphr6MrI8gNLnEmW+bk0WFkRUJT5ZapPVEQut5kttO+xbZaLTJfzuK4Dqu1Ir1qhOszq6RiQSZH7wX2krmB5RpoYhAHG0mQkQUV2zVRxXsB2gsyHZp5CCxX8ixV8vga5pX33yECQlc9Bdt1Ot57hmXxhxcuUDFNNFnmo/v3c6zX05VYWykwfWeNjbUCT57ZT29fexnSe9txu3iwCciiSETTOJzqIVerUTTqvDA23jIk0I4St4WtSVDwVtVL+SKyKPLs3lHSoSCO43J+vllE58BD6Jw8aIDUJJmTPf0cSJioooRfUaneNxiyN5lgs1zBcdulKQ/nldY16OqSwon4EBFVJ6rqBOV7FJecWWS6tEjVrtKrJ8kYBZar68iCxEignwOhsW01pp1wXQcXAwEZQZCp1Ez+41feYHYpQzjgFb79PpUv/NJzaKp3eNGIzsc/dhLTtPD5FHw+hWNHh5k80I+iSlTKdXrSYcZGU/Skw4RCPuLxAHvGUiBAMOBDkgQ+99nTuI6L7ldRZIkzz+zn9OPj6H4NRRb59KdOIQiNp7emsH+il//mH30ARZbw+1X8fo2//2vPIgjg92vUaibxeIBEIkig0RHecmJQ5dHGv52WezCoa5w5uof5tRx/e/Y6hmXz3PG9PLJvANtx2CxUKJRr9Ma8gBNRojyReJJvLH2db658AwGBp5NnGA/cE5Veqi5huzb9+j2etCAK+P0qqiqh+xTUxupBkEdQpEFcqtBBVjLlC/Dfn3gBF5fXV+52HA8uWwZly2ChC6+0HUTBkzb85X2P8pnxA5SNV7DkfgQEysYNHLeOJt+7wW7eXiES9pEOte8wS4KI2mUlVnfstsHq7Y1ZevUwk9E+HNcbwJhfyZIvVjkw0rO92ilZGRzXwpIM1mt3qFp5EAQkQeZQ9IPIeA3Out1Ze0MSRQ5EeziW6KduW21rswJ05eCartORDXA3l2NP3Hv4q5K03WgSRYFEMojmk7ls2Q3D1c5wXc9PrVOWKghsPzTiPp1DyTSO65IONNO3BGirTLgF23G8jNl1kUWRgWjY44Erikep01SeGR/tuq/d0IkBcj9EQSDm04ntUEgM3EdVe358jN89+w7LhSIjsej2w0WTJc7sGW3LtOiErkG3aNZ4deUW+8JpHk81a3aKgogkCPhlnapdp24bpLU4uqShS51FKix7hWLlG+jaKXTtBHXDZHWjyP/8hY81qWHthCAIhELNnchgUAO87di2Q39fjFQqRKRBMVJFETXWfHjR+/zT7idYR6PN728F+C1IkrhNY7Nthxu3ljEMmyefuDfPLwr+xpTeZSQphmnNo6kHm763Vje5eHuR5Y0izxzZw96BJN85d5OJwSSO41Kpmxg7rYBEmUdipxjwDbJYWyShJhgNjCHteKi5rs2Z5HMcbzTRAF55/QZvnJumPx0hV6jw5vlp/u4nTjHY560WBDo3UwRBYCgQ5V+d+jB/fOscL81fZ6Gc/6lYl0dUH8fi/fzivkd4uncMWbDIOREERFwsJDGA6PoQd/jpKbLExcvz9Pd5fMp0KuyVShrwSTKBLpoORbO9qeQvjT+GKknULC8IuqbLsYkBNvP3NCkAQkqSnLGE5dTRxAB+LQoC+KXoti+d6ThUu2T1qighCQJvrs3w7sYCAUXjnx99oSnwioJIpEvXvWqZGI0HyP0BuycYpGZZVE2TG+vrDEW8JqnjuCwv5bh6eYFYPEA44t81y61aZscyh4hAWPFRMup8a3qKomGgyzJnF+f5r0+dvhcnBPArnX8TB5ea7U05Oo7L5aUVvnr5Oh+anGApX+DDB/eTDHR39IXmVffOPsj92Wo37JapfufWbfLVGmdn5zk7e48aF/b5eHJ0+Kc3BqxJCvvCaQzH5mJmgceSo9tUoYgS5Fhsf5NxROca0D2Y1gwb+X9NMvLP0LUTyJJEXypMJl+mVw0/tDYleMH0/oD6nxuSJHLqkbHW18U4Ad+LFCtfw7Y3EWWNsP8zTZ8xLIfx/iQvnpzYXiY/eXiMoK5hWDYTgykigeYbTxIkBvyDDPgH2+7PnuBe9gSb7VQuXl3gv/jc09vshS/+2RtsZMrbQXc3CIJA0hfgHxx8gqOJPn7n2htcyizvKgbUCQmfn4PRXs707eHF/n0MBbcI6TIJ//NbW238f/M2EvEAN6dW2dj0BMCPHBpoCrq6rBDqEqzqltW2Pn0lu0TZqlOxDQ5G+wnUVKp1k2SkOWvzyzH8cqzpGt+qn2+9ljdrmF1qmP6Go/bhWB+6pFCxjJZGmiQKXVXYTMemZNabxrG3ENY0dFlGl2VODw8zkUw2mtJegjEw1Nj/hr5FpzhTaaxeOkGVJCKqD8OyCakaY9EYfkXlezPTzOVzxHSdiOZDQGhxRL4fJcvAtG0EvLLUUCxCxTAom17Qt11zW4vDE4F3tsXgt6rBDjamY+C4FqGG4JPr0vUYHha/8dTptpm/gPDwjh3d3lQbE2lbuL9rKmxJuD8gXNfFxcS9T3JmYSXH//bH36c/HUESRXRN4Vd/7vG2Jo//b4frGoiin2T0n+O6NUTBj+2UqNTfRpGGUOQ+KnUD13WbKCpDaU8EXVNkTh9onWH/cTA6mKBYqmFaNoVilXDQRzDw8FJ5ddtirVqiarWWGAKyik+SqVgmNdtzspUFz0/Mm1gL0O+PMBaOsy+c5HC8l7FQok0Hvvu/D0z0UakaTcaUO6GKEjFVbzTyWrNxF69+uyfcTMeLqjqaJLNRKLNaLXBQ68O2HWr3OQk8iKfZerXUUcRGFkQSPj9RSWthCQAAIABJREFUVd+2m8/Xqy3nQUQgpuroktLRwXi9Wmoax96JqmUxl8uxUakQUBQO9/R40pTrntNHsVCjty9KMOSj081bMOsUOii1gSdlqYoSsiIiiyK3MpvIovffl9dWOZBMNoKup2+riGJHFkO+XqXuWIQUH2PxOHczWTbKFcbiMXRV4G75KqIg4RP92K6F5ZrYrneOa3YZTdSJqEk00U/RzNwLug/AEX4YqLKE64otJSrBq0c+1Hd1jWp+WeVYvH1m9ePBxXGr7MxiNFXmw88eorbD80pV5F0Fbx5qq65LpWqwtJpnbbNIvlilVK5TNyxs2/G8vmSv7hkJ6iQTQfrSEWJh/YHoNTthO5ts5H8TTZnAp57Erz1BrvRFbCeLJEYI+z+FaUWZWckwPtBe2q8bLNciU89QtStE1ChRpbNjRTZf5rf+4PtEw34qVYNSuc67V+ZQVZmJPT38+mef3HV7mVqFL958m6/cvdQiJrMvkuIX955kTzhBpl7iUm6WPYEewoqfgKJRtCr0+ML0+SNkjDwJLUiPL0rBrGC7DkHZhyYprNXy+CWNoOIja5SYLq4y4I/T47s3mrmbMaXQmDiLqHpbKyAXl7lSlid6Ru973ftbp1HHDPg1bMclqHbneLbDcqXQcUmrSTJDgahHCbNtVFEiY7SO+m7Z5/T6Qy0GnltYLOept3HX2KxUeHNujsFIhCM9PSQbNdZa1eD2rRWExoCQKHW/6rL1Stcx5JGQxx7QRInH+gebjllAINTQnhUEj4eb0AIdxfHXa2UqlklE1RmMhvn44YNUTZOYX0cUTZYLd9FEH4P6BBW7QNZYx3RqyKKGLCgYTo2Ub4iqXaZiF3FdB0HweL/dxo8fBJuVCldX1tibiNMfCZOr1vgX3/xOk+D503tG+LvHj243wh8ED5xK2k4Ry15ElnqQdvA6bSeH6z5YGu+6NpbVPAKqKBKHxnuZX8lSrXuTJoosPVCpov02PE3ccsVgcSXHu1fnuXpridmFTap1E8vyJtcc29mWEdxqnomCgCSJyLKIqsjEo37GR1I8cniYIwf6CQX1xkRc531z3Tq2vYaiv59K/XVkKU3dvE46+i8pVV+iZl7Bpz7P2WtzXLqzjCSJnDm6h5MTnR9urutSd+pczl/itfVXWauvoYgKL6Rf5Pn0CwDcLk5xo3idJxJPkdC8bO6jLx7l9Mk9TTKZuk9BlsRtlkY3FIwav3fjTf709oUmmT9JEDidHuELh5/hSLwPVZTYNIqU3Cx+yaU/oGM6NlXXZN3c4Iivj5XaBhWrTtmq8+rqFXySQo8vhovLej1P3TGZDA+xUs1yu7hMUPHR47v3QHkQY8oBf5iUL9A26DouXMu2ioJn6hVqtsmeUJL9kR4y+TKyJFI3HrweCN5vdKew2XFJ65Nk9oaTZOsVzm3MU7NNVipFnurZ0/LZiOpjLBTvGHSnChtULJPoffoI6WCQkwMD3M1kuLC0RDoYpDcYxO/XeOrMfuoNrm4s1pkO57ouq9UiK5XODiL7I2kkQaBoGEznMgQUlZfvTBHXdX7pyPGm7/ZJMoOBSMegu1DOUWpQCSVRJO7XodHQMhyHAX0v/foeFEEjxSB1u8pabY4+/zhig0egihpBOUpc7WEre1+rltpKUz4M5rI5vnHtJn/vMc8YoG5Z3N7I8Oljh/GrCkv5Aq/dmeHTRw//5wm62eLvkyt9kYD+In3x/3379eXNL1A1zj/gt7gtAbpSNfjdL/+IUrnu2engcXeP7h9ooQXtBsuyWdsscv7yHC+/epWb06sYptd0+HHKkMtrea5NrfDS966QjAd57okJnnpkD3tGUoQCvvZ264KKph4j4HsR01rAtOZxXRNZ6kUUI7iuQU8syD/5zHOYlo2uKbtm9ZZr8XbmLN9Y/hsUQSGmRlmuLlO37/FefZKPtzJvElbCnEk9B8DCcpYrN5cwTGv7+D/xgWMMD8TbbKUZruvyrYWb/MnU+aax3a1Bhn927H1M3jeyG1UDjPjTGI7FcjVD0ayS1qOYjk2lsa8xLYiNQ1wLYbk2q7UceaNMQgtRsqpIgkiPL9pCNXoQY8rRcIKBQIRrbRwXXFze21ymbltN48DP9I43jst7zK/LJQQgHn64HkHNtriZW6PUYZospPo4GOslqGicTo8iCyLZNpkuQFzzMxnr4ftLt9syIa7n1sjUK/T5Q80KXLUai/k8fkVhMpViMOxNbDmuy9zsJmd/dItqxeTvfO40QyPtjVst12GmmGW1Q5CUBIFjiX5EQaRqmqyUSkznsjw+MMjNjMd53lnj1GWV8XCScx2s0e8WM2zWKuwNtzYGFUFlLHAIxykCNrLgR5aDjAYmGk1WAQSPuSzex5S6kV/rOizzIKgYJrbjEG+MNyuSxOMjg/z80UOEfRpz2Tz/w8vf/elKO+6E69Yak1bNavaOU8Rx8ohCkN080trxFw3Toloz+R//4YdalKMefN8gX6xy/vIs3/z+Vc5dnsWyfrITfu+7XSzbZWW9wJ99/Rzf+9FNnntigp95ZpJ9Y+mWB4Mg+BAFlXzpP2Hb61SdPILgo1T9NqY1i6YcwLRtzt9aoFo3Oba3H9tx6I2FOmYfOTPLW5tn6dF6+Gj/z9Ln6+dfXf+XTZ9J+dIoospC9d7F/fbFGQ7s7WVshzNyIt7ek+t+rNfKfOn2hRadBFWS+eToEQ7FmzV9faLCoJ4kpgYwHZuEFmKmtEbSF/LETASZil3HdGxqlknZqjHsTzESSDFVXCKqBhjUE0yVVrBx8N/HgOnrjZBMBHnk2AiKKhEOtjZokpqffZEkP1yZbktxW60WuZZd5UTSo9UJgtDSjAroGplihVLNYLR/94fTFu4UNpgpZdregAKwJ5Sgxx9iuZLnRm4VVZKxHYehQGtT0y8rTIRTRDW9rUpWyaxzcXORA9F00/TXUCTCr5482fJ5XJdEIsipx8dZWspuOwG3w0atzJXMckdaWr8/sl1eiOk6AVUlonnNtKJhtAxQBWSF/dFUx9HovFHjVn6dk8kB1Puocp6Gh0nJuIwLyGIAVerDsFeRBD+KlEKR2pfXLmeWsdyfjGmjKwqW47CQy5MI+In5df7FC8+iyTIuMJfLockP76bywEE35P9ZZKkHTdnf8p4kxoiH/1Ej8HaDTc24SL78pe1XFFmiPx1haT3PSF/8obNb13VZ3SjwtW9f4tuvXWN1o/Oy6KeBtc0iX3npAlMza3z2Y4/yxMmxbYFw8M5FyP8J6sYVdN8TiEIQxy1Qqb2GKMbR1KMsbRS4vbhB3bSIh/3UDIueaKhLN7nCurHGi+kPsDe4j7rd2uQQEAjKAcrWvTrWYF+MS9cXWF0vbGekoaCPoH/30sJba7PMt+HeBmWV5/v3tr6u6ByO3msAuq7LgO4FLUEQeCK1v3EsdXp8cWJSjELNJlcrItl+anWRi6VVJFHicGictK+ZvD87v0k2V2FoIM71K8tMTvTRk26evRcEgUdTQ3xt9mpbPdqCWePV5duNTK39yRa85j6RwIPP2Nuuw3uZ5Y5i3ZIg8nTvKAJ4xpTVIkOBGDfzazzT2+rmKwgC4+EE+8Ip3u4gs/nK4hQ/N3oEWeyuGAYgKxK9/V7zLJ4IEuzgkO26LvOlHOc7ZKUAj6WHCSuaxyeWZZ4eGkEY8qbqnhpq1bdQRInRYJyE5mejQ534jdUZPj56qCXoehCQxSh1a4lc/T2i+jOUjSv45GE0eYB2zcCSWfeC7k+Y6Q5Gw/SGgvzhuXd5NptlTzyOX1WpGAbTmQwvXb/F48ODP3034C341MP41FZPewBRDBMJfA5J7B50XddGEqNNQddxXG5Mr/Lu9QWSsQCiIBLQVf7xr76vq7Sj930umVyZL/75m7z21hSlSmeVqZ8mbMfl4tV5SuU6lmXzzGP7tksEgiCjKnsRxRCu4zUNJTFONPhrCIKCKEaQpTymZVOuGswsZ0jHgl0boA4egVyX9CZubsvnGopwW1hdL3DkwACxHXS6QBtjxXa4klmh3GZsN6rqxH27L707BSxNUhjW07y1ukDFMpAEkYCsElRV8vUasiiR1oMtNf3JiT7+/K/e4c23p3ny8XFGR9oLkp9IDDASjLFUzrdkVnXb4q21Oe4WNzsKms+tZClV6qR38czaieVKkbOrs+Q7dMvDqo+nejx6Ya8/zN5wkuVKgbFQomOWNBqKcyTey7ubi2250VeyK1zKLPNEz8iu+2dZNqsNFa3+wRj+Dg/dqm3y2so0yx3qubok80TPCKEdso87M9tAG06uIAj0B8Lsj6bZWJ1p+73vrM8xX8oTibeuXgQUfMooshTDp4yiSkkkMYAiJrbV8e7H5cwyi21+/4dFwu/n08cO81eXr/EXF69gWDaKJGG7Drqi8NjwIB87dOCnK+3YijaXiCAgCjqi8CA1MBHhvhPl11U+/5mnMK17k1uy7DWzdkOtbvKHXz7Ld1+/3tW6RxQEZFlEahhSSqKI7lPwaQqSJOI47naZw7RsHNttGE06HT2WXBduz6zzh19+E1mSOP3IGJIoYttZMsXfpm7dRmpk/pKYJB37n7b/tjce5vTBEa7NrDKQijA50tM1q1JFFV3ys2msN9Vxt+CNsK6QNTJMhu8NYsQifuaXsl7HuvFQeFCLo/VauS3Np2abmLa9rQD3sJAEkbFQgoQviON6EnmSIG5r+AoI+BWlJXt4+/xd0qkwp06OcfXGEjenVjhxtJVaF1I0PjI8yXubSy1NLRevmfY3s9f4/OQTLd1/gOHeGOl4CO0B6Ipbk1s/WrnLj1bvdrzJXxyYoNfvMS18ksLhWB9joUSLNvVO+CSZZ/vG+cHydFvhobxR5U+mznEo1rOrhGG9ZnHtyqJn27MeYfLQQEsjdasR+JXpSx1rlCeTgxyO9T3U9BXAQCDCsUQ/Z9fm2nJd80aNr9y9xGQ03fK7C4KILISQtxM6AUVKtHzHFqqWycvzN9j4CZkL4DX29iTifP6JU2TKVTYrFWqWRVBVieo+kgE/PlHGrHtUSc33YAlNdxFzx20SCpZlqaXpo6snGtMxDxDtBRDREHaMnkqiSDoeYiNXxmkEOE3dvU7iOA7f/sF1vv3D9gFXELz6XCzqZ7g/zqH9fewZTtCbChMJ66gNHUwHB6dxIUhIlMp1ltfzLC7luT27zq3pVdY2imTzlZYA7Lout2f/L+7ePNiS8yzz/H2559n3u69Vt/ZSlaqk0laSLcm28IJtULdtDA2NoRsCiIAIJhjo6ZiOmYmZiXYMmGnMzDTQQDeLAQPGxjZeJUuWJZW2qlLte91bd9/OvuU6f+S5t+5yzq1bJfU0w/NPRd3Mk+fLPJlvvt/7Pe/zLPBXX3uTbDrC2EgO1y/iuPN0Jz+76gO38WVlOw79uQS7B7JUG3brWJ3pfgk1zoH4Ad7KvxkYUYZG8HyXqltltjHLQmOOb8x9A102OBy/f/VzYyM5lvJVhBTkjbbTvhW2HToqWTXrfGvqEh8bOtA2aG0HqiyTkoKsZpPMJ+2z5AP7+rFth1jUpLc73tFyRgjBBwf28Lc3zrSdJlcdi6+Mn2NnLMMH+ndtmtKGDI3QNh+eFb+wP7r8WkcH4i4zwseHD6xz0g4pWltn7Y3n8WB2gOPdI0xU8pu4x67v88r8OH9+9ST/Yuxo2yxzBYoq099SwBNSq36yAcvNGp8/91JHj7m4avCB/t0MRze7CN8JpqxyLDvItyYvt32B+MA/3LrIU307ebRruINewzYarzyX56ev8v3ZG1sqtd0NJCGIGwZxw2A4lVhtyli5BoszBc6+epXuoQx7jgxv65hbBt1G3eLi6Vurjgl7Dw0Q3dD5lYn/WzzXo9mwadYtZEXGagZCyZIc2O4IKaBiCSGQ5RzR8I+gqcGqcb1p8WdffYPz12axbQdZlkjFw/xPv/QhDL1zIJ+cKfCV75ym2qakoGsKB3b38vCRER49MkpfT4JlO4/jO8hCpuAs4XouCTVGw7MQAmzfDsRGIgrDiRhHDwwFOgC1JqcvTPG9Vy7x5pmJTTVj34dT5yf53quX6e1OoGsaitxFIOcYavsyujmbZy5f4T2HRrk2PUPTdnh0/zCdbqyQEuZ45gkqToWvzXwVRSiUnBInll/lZOEtClaelJbmgz0fXtex9tCR9R1zp89PbruZpduMBu2xGxak6q7N58/9gIpt8UC2ny4zSqxlWyMLse0Hst1+W312abnC6TO30HWFo4eHqdYa9HdgYURUnX+560EuFxfaCpuPV/L83sVXMWSFJ3p3BBoI2xr1bfi+z/n8HP/h7Pe5UmxvV65LMh8bOsDueHZbWr4bockKn9pxmBPz41xoY3FUtBr8+bW3iKgaHx3aT1Rr7/NlGCoHD7VvuPF9n5laif906TVemr3Rdh9ZSDzcNcQTPaN39B1rB9FiPDyQHWC8jU4zBAt4nz/3EjHV4ECy+67rpI7ncmppmj+9+ibjW7hFrEV+roiqOTRrFrmWC7TneuhmYIhZrzTQTA21VeZsJ1A0d2sJRZNbDKnObsJrsbW0o+OxMFtAN1QW50oMjGaJbPBW8n24dmEGWZFwbJdqpUG5WEfXFTzPJ9ebINebJBoPMhtd3Ul36jdZefqblsNivsI/+8BhmpbD7pEc33nl0paD9zyfF1+7wuRsYdM2Q1f5yNMH+NgzhxnqSyGJwMVgoblE1akRVSNM12epu02GQn2UnSpZPc1MY57F5hJxNcaR5MHVmmI4pPPIkRHu29PH91+7yt996zQXr86sI0i7rseLJ67y5CO7GR6QsJwbLBT+V1RlCJCRpTjJ6GdW94+GdN64NMmpq9OMz+bpTkU3nsY6CAQ9Ri8f7f0RdkR2cr1ynYKdx/VdDNngYPw+9scOsCe6F8tycFyPkKmRL9aw1nRWnXjrBo88MEpXprP48woOpXuJqHpbFsBMrcTnzrzAaCzNaDRN1ogQVlUUIW9Zm5aFhCErGLJKRNXImRF6QjG6QzFUIW35m5+/OM3h+wY4+fYE5UqdQrFzt5EsJB7pGuaDA3v5mxtvt53SnsvP8rmzL1KymzzTv3vLTHEjao7FGwuT/NGl13h1frzjfvele/nw4L4ttRTuhLF4lk+MHuazp59v26E2VS3y+xdfZblZ49mR++gJxbYd4C3X5Xxhjr+4dpJv3LrYUdSoNxTjR0fuYyDcuRHnTohpBh8a2MMrczfbBsUVSt9vn3mRn937EA9kBrbtAxeUeG7yh5dO8MbCrTt/oIWLr1/D7+9laSZPcbFMs96kUW2y49AQjWqT+YkloukIY4eHUdT2L5v+0RzVUv1dVBkLa4zt72P86jzJTBSzjbeS7/uMX53DCGmEwgYzt5ZoNmxUVUaSJSIxE91YW7vaqNMZZMGqKlOuNenJxplZKG2phJQvVjl/ZYZafX3NTpYFH3n6AD/xIw+ts3IBGGwFWE1SiasxJASapFH3GuiShi5rDIR6CMkmCXXzqngkrPP08d1k0xF+/wsvcf7KzLpZ2q3pPFduzDHUN0DEeD++fzvDkjYsMHanYoz1ZVgoVMglIoz1Z+/4owkhyOgZHs+8h/sTR6k6FVzfQ5M1YkoMXQosWK7PLDK3WOKRo6N88atvspSvrj6EV27Mc7RNHbQdHswOsDueY6nRvlbZcB3O5+faNhx0gtTqU9ckBVNRSeomaT3McDTJe3p2cDTb37FXPxY1uHR1jhvji2iawujQ1nrNcc3g0zvv51YlzysdAuPFwjyfO/MCp5ameLpvjPvTfR2zxRWTxbeXp3lu+irfm77GjfJSRyWrgXCCT+88wq545p50edfiQ4N7OZuf5W9uvN12+2S1yB9deo2z+Vk+NLCXx7qHyRiRjtm75/tcKS7wnanLPDd9lQuF+Y7ty6as8okdh3m0a/gdn8eRTD8f6N/Ff778Rtvpv+25vDx3k4VGhWf69/CRwX1bljMs1+FqaYlvTl7i25OXuFxcWHev6pJC02t/XgDNukUiG8P3fGZvLiApEooiU1wsc/G1a3ieR6qWYHhff8eg6wOFxTLaXTjGbLmnLEvkehJ4rk8oohOJbn4gJEnw4BMBHUiSJYZ3deG5Pooa1H81XdmSF2hoCg/sHyQdD/PGmQl+48RXGOpJraNhbcTEdJ7pueKm0tSDh4b5+DOHSSc3SMwJQUQNE1HDHTvdNoqXtIOmKhze188nPnKUz//x91hYvl3/cj2Pty9O8d5HdhENfRwfG1h5caz/wWRJsGsgy6VbC/Sko6TvINaz2FzghYXv0WP00mP0kjNyZPQskliRtL495q5slERLpLpYqvOB9+wj2lo0+YfnzqFuU88ioZv83N6HuVFeYqZWescrwbCiKuXQcB1KdmOVgH9ifpznp6+2srpDPN49GviArXnYHn1oJ5euziKAnaM5doxsdnNYC0kE1kM/u+chilaDC4W5tucwXSvxxeuneWHmGt2hGGOxDKPRVGD+KCs4XmCXfqtS4FxhlqlqiYV6paMuAgQMjw/37EVdlJgxygx1tRcYqjUsvvTSWRRZ4ocf2dexlpzSQ3xm9zEWGxW+P3Ojrc5tyW7y3NRVzizN0BOOMRpNMxpL0WVECSkaHoHL8GytzKXiPDfKy8zWylv6ykkIfmhgD58Yvg9DUrZcD/BbJq9bUT5NReUnxx7gjcVJTi5Otd3H8T0uFOaZrBb55uRFdidy7I7nyJlhDFnFbv0ek9UCV4qLTFYLTNfKmzSbhyJJnh05yG+debHjeHpHc5x75QrNWpPdD4xSWq4QjplIkkRuMM3ExWki8dCWAVUIcB2XuxGhEVtdSNt2/PMnJ7j09iS6ofL4M/tJZjaT+DcugLSTWtuIWsNCkSVURcZ2XCQhKFYaLBWqaKrMYE+qY6fWN144x//1X15guXCb9xeLGPzyZ57ifcf3rPvhPd8BfAQKPi7gIVABD8crI0uhlsaviyTU1jYfHwex+k7yAnUjoSIQWLbD//x/fp0XT1xZ12K7d2c3n/0378Plv1BpPA++C/ho6h5607+zul+hUudvXnib7lSUpVKNfcNdHN3V3/FaTdYm+YMb/xHXd1sr/hJpLUOv2Uuv2Ue30UNMiaLJOoZkYMjBdPb85Wl2DOdWqXcvvnqF4YH0tjrS4Hbm8Ztvf4+Lhflt65PeKyQCM8EPDuzhX+15mMHIeltsx3FxPR9FlrbN57Y9l1fmbvK5My9ydnl2C2HuAIqQUCWp9UILMplA7crD9jpr5a4gqZl8Zs8xPtq1n1fOjDOQSzDcnSIeNpAliVKtget5REwdU1M4c32WMzdm+NhjB1AVmXKtge+DqkjEWp+BgAt8MT/P75x7iRdnrtG8w0KRvHoeAqmlyuUTsHJs37ujUpwpqzzdN8av7HmciVNz5Lri9PQl8T2fcrlOKKQHLfuaQr1mUchXyeerjO3qDhqKHA8hgkTFsl1yXbGAKeT7vLk4ya+f+BrjleU7Xs+V85Db/h5eW6ZF1gjzPx75AEPRJD/1vS+0bTB5pn83v37wKTJSwFlWdRXPC9g0iMAJ3G46KJqCqnc2nzz76lXyCyXMiMEDT66TcO0Yhe9AhA2K8GZYW/VY2gjbmcZxp1HkXhS5G3GH2twKXj8zjmW7PHJ4ZJU7KkuC+aUyb124xc994nhHnm6xVKdSW/9m2zmcZedwdt3D6HhV6vYEtlcipu/H9oo0nQVi+j5cr85k+YtkQ0/i+jVq9gSanCKq7cPxSjScWQylG1WKUrMnkIRGRN8NCDRV4bEHdvDqWzfWCfXML5ax7GU8MUki/GkkEUWWkzSs0+vGOrdcZrArwQO7Bzh7YxbLcbdkL/SZffzant9gvjHPQnOO2cYsc405btUmuFy+RNNrokgKMSXG/YkjvDf3FAD7dvWuO84TD4+1O3xbuL7HXL2MQPBgdpDJarHjCv27Ba+lDPWFaydZbFT5t/e/j/7I7Tqiosh3y3FElWSe6NlBRNX5rbdf4LWFW1tayDh+Z5rgVhBAfzjBT+16gE/vPEKp3CBfrjG5UODE+Ql2DWTpy8Z55exNhBB0p6J84MFdq+7WAJdvLfC1Vy/Q3SqNPX10jMFckCXLQmJ/qptfO/QkaT3E125d2DJLdX2vI8PjTsgYYT46tJ/P7D5GAoML1QkWF8rMzRYpFmqUijUGBtP09CWZnSkSierYlsPCXBHDUFEUiWtX5lrlSEEyGaKrO1ArlITgcLqXf3P/03zuzItcLm79Mr+b81j5DX5h/6M82buTpUaVoUiybdAFkBWJUHjt7H39jFTdRofs6P4+FG2IZn37Og9b3sOSLBFLhklnY4QiOqHI5k6Wcv3LFKtfJBb6GKnoL3DnVuAAXekYL7x+hWK5zhMP7mRxucIrp2+wVKhx7ODQlgISlu1u8rzPpqOkEuvLCjX7JsXmaWy3gKH04OPRdGfx/J1B1ipkVDmJ69QQCGr2OKqUoNg8iefbuF4FU+2nbF0iZT6ybho/OpDZNMZ6o+WGKmkIEQJ8TO0oxepfrtuvPxvn0q0FXj0/get57BnMbam/IIQgJIcYDg8zHA6siMpOiVu1W9ys3eBWbYJb9VtcKJ3HlM3VoHsv8HyfqVqRE3MTvDBzldcWbr0rnMe7xQsz1+gPJ/iVg4+vaji/E9yf7uN/uP99/OGl13hh5hpLW6ho3S1CisqRTD+f2nGY9/bsXF0AChsax/YOkk1E+fPvvEmpFgipj/SkuDg+R9PanMjkkhE+9dT9PPfWFa5NLa0G3RWMxtL8ysEn6A5F+dubZ5iobF5MvlfIQrA/2c2zI/fxwYE9pI0wtu0wMpojHNFxbBerJ46mKaiaQjRmUC43yGZj2JZDNhsjHDWoVZvs2tNDOGxw7cosIIIsssV8UCWZ490Br/2PLr3G6wu3OtaU72bsexJd/MtdD/L+/l2YioqpqAxFkpxamn4Xrk57hFolV+0uJAy2DLr1apPzpybh/1ADAAAgAElEQVTwPY9CvsrgjhzGho6mpnUex5nE95ts1/EWYM9oF8l4iJfevMaffPl1mrbN2GCW9z+6h75c4q7bgcOmRmhD7VgSOr7vIISGJDQazgx1e5KGOktYHUFCwXIXwAdNzqLK8dXPOV4VWY4AMobSi6F0s3bGkIibAedxAyQpjKruQZZSVBvfpdb8AbKIr9vH1DWOHxxhPl8mHjHv2P3k+i4lu8R8c46FxjyzzTmWmgsU7AKWZ6FLGgPmIA8mH2QssuuurttaNF2H1+Yn+OKN07wyN06+Wes4/dMkmbCqYcrq6tSvHVamg47v0nAdKra1Zaa5Astz+ebkRR7M9vPMwJ57PaVVCCHYncjx3933Xo5m+/mHWxd4Y2Gy44r9diAhGItn+fDgXt7XN8ZoLL2OUmXqKrqqoCrSKttFCEiEDd57eCdmmxqut2bK3GnGmDUj/Mzuh9gVz/HViXP8YO7mO56FZI0wz/Tv4aPD+zmQ7F59caiqwt79fev2XSkfNhs2oztzRKPGqgTq2jF7noeqysiKxMbZti4rHO8aIWdE+Mr4Wb508wyLjXt7ERqywjP9u/nE6GEOZ/pW7Y6MVtD9x4Yto6SQBLqhEokazNxaxrKcTVw0x1tACA1N2cHdFJOn5grML1foykS5NZunXGiSSUVYKtQolhvs29HdMfBqmoyqyJsyhY0BwlQHyEnvx/NtNDmFJDRUKY4mZwCJbOgphNCRZYOVuq0kNAylC9uroEkJJKGhyWnEhqnH2lru6vcZKoocaC8IoSFLUWxnEkM7sG6/m3PLlKoNDu3o3VYpZq4xyx/f/EPqbh1ZyMTVON1GD/tiB8joGSJKhJAcJqyEV23aobN5aLvvtFyXb09e5nfOvcTN8nJbwZOkZvJ4zyhHM/0MRZKYShBw70RR8vGDOpznUXcd5uplrpeWeHNxknP52Y6Bb65e5ttTlzmWG9zEargnp14h6ApF+ZHhgzyUG+LU4hRfv3WBl+du3lXw1SSZvckuPtC3i+PdIwxHU22zcbGGt2yoCvuHu/n+29c5e2OG4e4U88shvv3GZcbn8kRNjXjYZGKuwJ986010VeHwWN+mY64gpGo83TfGwVQ3Z/OzfG/6Gs9NX2GxUd32oqciJIaiSZ7s2cnx7hH2JbtI6Vtb+aycF4BhapuSsLWQJIm+gc7rB4oksTfZRU8oysO5Yb48fpaXZm9sqeW7FqascDTTz8eHD/JQbpDuDXQ5Q1bojySQhdhUwrhX6dh3A1uLmId0duzp4eybN4kmTCKxzXzDoOtKaU2nt4/z12c5cfomAK4brHq+9OZ1hAi6gnYNb1bwWkEiFiIS1tcF3XrTpmk565TKZKEjKbfVsDQ5hSbfvgnGl3RmiiXiZqABcGFmHlPT2N2doWYpdMcEvQkTmc2sjVK5jr8h8HZlY0hSoMgmSykM7QiGdpiNtSJNkbkxs0xfJo4kCUK6hrnF9MT2bOabc5iySZfRzUBokJHQMN1GD4ZsokoqqlCRxWajw6V6nVcmJ4LWXeCxgSG6Iusza8/3eX7mKv/LyW9vKiUIAibDhwf28ckdh+gPJzBkFVXaXu1+LXyA1iKI5bk0HIdTS1N89vTzXGnTqeT6PmeXZzmXn+NQuIerl2ep1yweOb792nQ76LLCSDRFfzjOk707WWhUOZ+f5UJhjolKnplamapjYXuB2Lgm2SR0n+FIhkPpPexL9pIzI0RUDV1qv8iSioV45sHdQRenEHzmQ8cIGSoDuUSQASoyuqrwE+8/iud5aKrC1alFdg1m+fBDe1EVmfAdOuMUSaI3HKfLjPJI1zC/uP8xLhTmeHt5hvEWO6FkN2m4NgILWZRJ6iF6QzF2x3McSvcxHO0npiXxPJ+Qqq069K64Drczz7wbeL6L7RZw/QaqFEORwusahgQB2+PxnhGOZPpYata4kJ/jzPIM10oBc6buBtY9hqyQNsIMR1Psbxl8doeiRFQdRUhAE9+zQEQQQkJC8MGBvTySG9qckMlqx/Zp3yuAMAHtHdPk2mHLoOsDZkhjdE8PnuejKJt/AF3bT735OrY7wVojvzvh/Y/s4ZEHhrF9h6hirprUBSR5CfAp2TXCirGpLbAnGyOdCLOUvx0gSuXGqibvWmz1RlMkCUNRieo6k4USpqbSFQszkk5yK1/cUqVoer646ra6gp3DWYSYZbH4u3SlPoskDNrVuE1d5dZ8gS989ySyLHjswAiHd3bOarqNHn5+9BeZrN9isj7J5fJF3sq/Afgk1RQ5o4t+c4CcniOtZ8jqAYfVBy4tLXC9kGdvOgOItp0+E5U8v33mxba124wR4Rf3P8onRg+vI6v7vo/dqqv7BDW1lRVxxwsWo8KGti7zEABCoAgZRZIJKRpP9Y2hSTK/9PKX2i4MTVWLXC8t8WCyn0bdJp25szSl7/u43iy2M44kJdCUHQix+aWmSjIJ3SShm4zFM3yMA22OBuOlv+HC8ucwlR6OdX8eU7ltze63MniBwGmtfq8olUmyRKXeDBg6nosQGtGQvq6NNLnmfo2FdHpTUWIhHd+npQPitYT3XaJrjFR9//bzKEsSUUknqur0heO8r29ziWmm+hxvzv1qi8EToFAPUTP+FSH50/zDjSsc6+mnbttENI2abVN3bPZnchj32O4N0HQXOb3w71iov8zu5C8wGv8pZIzVe8X2vICdIEnENINYS8D9Q4N77/q7XOsKnjuOor+3FXgFIUUlpMTv+Nm1sBvfQFbvR1JuX0ffr+P7dYS4+zbojdgy6NqWw9UL05x+7QbVcoN//pnH6e5f/6UR4xnKtb+n1niZqPkRVKVz8NiImfoy0/U8OSOGLmtU7DpxLUTNsbA8h4ZrcTAxREhZP3Ub6E3R253gys35Va7u9FyB+cUSfd3b75rZkU2zI5sGfHbm0oBYZRDsyG5Nq3r7wtRq0IGAeXFgdy+aZtBw4uB7Hd8/YUPn5z/6CKoStA+Wak2qDYuQ3l4ARZd19sT2sicW3IgVu8Jsc4bZxgwz9Rmm6lO8XThF02vycPpRPjnwY0Dw9VFNp2I1KVkWkhCb6qmO5/GlG2eYaNMlpEoS7+8b49mR+zZ1B1UbFtPLJZq2g+v5aIqE7wcUIdcLPMb2D3YhbcPu6ECqhweyAzw/fXXTtpprM18v03QdKuU61WqD3Xt72xxlLXxsZ4pi9S+RhE46/mvIYvvauHeDpu0wvVxCliQalh086IZG03JwPI9qo0kmFuHm/DK9qRiJsEkyYrYVjZEd6DJCnDs/haYphEI61WqDZtNhfqFMf1+Set1C1xUSiTB9vcktOwDXIqIOMhr/CRyvhuPXmK0+v257XyTGpeUFrhWW2ZlIt3RiN0/LAerODL7vEVK3/6yvheW5TJQLgU+c1aA7FCWu33vX3gpk7SAyB9/xcbTQpzb9zbXP47uzKMYHuStjyDbYmr0gCXoH00iSxNT4YluSsK7uJhn5GQqVP2a5/LvEwz+Oru5qm1lshCoplJw6i6USOT3eqg9K3KzOY3kOcbV9ySIeNTm4u483356gXA0WEGbmi1ybWGT/7t5tG1revmHvTgdgbrHEucsz64TSB/pSjA3nUBUBuCyX/x80ZQSQkKQwEfN9q/vOLpd47cIEuWSUvkyMK5OLSJLg8YOjHaUXPd+j7tbIWwWWrSWWrSXydp6GG5gbSkJGEcqmzN7zfdJmqKWLsPm407USry3calvTjKoG/3zHobbiLA3b4eZcnpl8oNWrqcE0eqQrTToWYqFY3bZrsCErHEr3tg26EBD/q5aFJEu4rnfHHnchJEz9ATyvRK35wrbGcK9o2A5v35whZGjYjhuIChG0hkdNHV1TCBs6+Uod34da0yYVaX9fz8wWqFablEoNunIxisU6iiJTqwcSolNTecqVBpomcyS1tRzoRkS1nexL/yqe7+B4VZYbJ7FahgRhVWN3KsNivcpANEFUC2YoXqu8sBY+PteLf4okNPamfvmerlnTdTm5ME1XKLCMDysaMU1fw/O3cOpfB2HiOVcRcheK/h4kOYtrvYXnLeO703jeEqrxfiRlN559Fqf5EpIygqI/iZDC+L6Na5/BtU6A7yHrDyOrh/C9Ip5zHt8r4bkTgI4W/nHwazjNV3Dt86jmR5GUMcDCtd7Crv0FvlfBc24gqfuR1QO41svI+hNIUhLPmcR1LiKr9yHJWzfubBmdFFUmnQvoILFEaJPuAoDtjCPLGVRlhHLtqzSaJ9HUHchSDiE616TC5lPkjEMclUfBB6UlOqJIMkkt6ByTJQld2hy8JUnw+LGdPPfyJc5dDuggjabD9165zLHDwwzeheL/3cJ1Pb790kXGp277V8mS4IljO+npiiOoIkkJXK9A07kSWIlI67PvQqWOrqn4vs8r58fJxsOUqk2ajkOYzddsobnAl6f+lpJdoubWqLk1HN8hpsTI6BkGQ0McSz1MQk2Q1tbL3o0kk6iShE8ge6dteIguFeeZqZfanutwNMXODrqz8ZDBodEetFsyuXiEeNjA933iYRNdVQgb2iZKne052J7NbGOOPrMHveUOIUsS3WZn/Ymm6+ASuCer6u37wfPrFMp/gCylaNpvo6ljRMyPonS46T2vRqX+NerWa4BPSH+MkPE09eargEvE/CAA5dqXkaU0IeN4xzGtIKxrPLCzH0WR8bxA9MRqNfvoqoKPj6GqqLLEcqVGooPNE8DePb14no/ruGiagmWt/Btk0JIkVlkQycSdF7zaQRIKihRCrCl7qbJMLhwhF27V+rd4WTadBeZrPyB0FzPajTAVhYe7B1fvy03aFL6NXf8ysvYgkroHt/kqjm+jhp7Ftc7gWK+gmj+KLPcgRJxAMjYHCFzrJLL2CPghPHccu/ZXKNrDIHTs6l8iRdOAh13/CkLKIWtHW9dCBnQkZQSr9tco2lFQxgAZSe4BKY4kYsjaIYTUgxAmTvMEQupGaA8Ewd0+i6zez52wteCN63H90gxT40s06xbJdARtQ3fGQvF/p958vWXnU8H1FmnYZ4Nuri1uCkXOkIwew1S0VdrBap1Li2wp8wfQnY3xiY8c4XN/kKdQCsjPZy9N84Uvv87Pfuo4qXu8KTvB930aTZvnX7nM33/77VV1MyEEh/cP8N6Hd7WyVIVU9F9v+PT64JONR3j13DhTvs9CoYoiBVPzTsvODbfOTGOaLr2bsehu+s1+uoyuYBFNqGiSitpyEFihG/m+T8MJ/MB6YzEEcGJqklK4SdK8XUe8WV4m34Gqsy/RhdJBNF1VVoKtiSrfZjCsXPNsbLPA9PXqTWpOnfnmAq7vMRIeRJGC7Hwr9SpZSFhNB8/zyWTXmCr6LtXGc8TDP0488tOUq1+k2vg2sdA/Q4g23F4ho6k7UZXBIGBX/hOGdgxJhKg2vouhHUUSUSr1r5OJ/0bH8Wy8Dn3pdjXD9TOLeNigNxVDkTufZ6LVDr65w9NY/f+dnot7wYpC1sqAO7FRfHzyzTPYXgm496CrSjIDkeCadTbIbKLox5HUA+DXgum9VwAhISnDKMaTBIEyYIgIpQ9J2YVrv9U6gotnXwahoZgfBkQrMJ5GVg8iRAhZOxLUf/ERQgahIEt7W5nqyv2sIJRhJHkQgYSsPRrsi49iPIXT/AGSMoTnXEdWxhDSnSlqW+vpuh5CCHr6U+QXy21LGYqca02j7w6yHCz2CEQHbfStb6qVbHdypsAXvvJ64OLgenz9+XM4rsenfvgBenJxTKOzUPR2YdsuM/NFnn/lMl/6xkkWWwt4khDsGM7yyR9+gLGRXOt7ZGSxdV25NxPj2ffcB0A8bHLp1jxN2+1YWugz+/n1Pf82UFkQYtUFdeUhbHpNFpsLLFqL2J7NocRhAF6enMD1fH5wa5ywpnGjkOdfhyMMxW+Pr2g1OtKl0kao7XszePCDz+hKsOgZtE1La5KkoMzi+8ENKoSCLGQqTpV+s5ewEl5tyXV9j/wWNCFTUcnPV6hVm5RLjXXlBYEgZDyGLHWjqbuw3Uk8r4osbxbp9rwK1cbzuN4yILDsS/jYaOouGtZJGtZJQEJVhlDkzu7Mtleh6Sxge+VW+7iOJiXQlQxyh9ndSubr+nWq9iK2W8bDQggVVYpiyFlkYa6jma1eSSHwfQ/bq2K5eWyvguc3AR9JaChSBEPOIIt7SzSWq3Xy1TqaIqNIEl3xyOqCq++7NN0lbK+M41WZrT6P7ZWxvRJL9fWGtJJQCan96HKnmaYAPOrOHJa7hOtbgEARJoaSRZPXByzfbwA++E7rswKQECKxjfKlACEHayu4gNw6TuulJ0xEi+WwPcj4rO2CFSj6EziNb+Fab+F7C8jmR7d1vC2DrqardPUluXJuing6QriNt1JX8n/b5qDffaiKzI/80GFsx+Frz51lYamC63p884XzXL0xz+MPjbFnRze9uRiZVJRwaHsUEM/zqTcs8sUa80sVrk8s8P3XrnLq/ORqS6IQMDqU4SeffZiHDt+dApMQgmziNm3r4GjPlvtLrVr3Cnzfx/IsFprzzDWDduCrlSvcrN7kUOIQhxKBDfZTw6PcLBY40tNDJhTm1OwMPZH103jLdTqaEEqiPffD9+s07YsE9kMRPN9CIPC8SnCjI7UaU5p4fh1JxNDVMXZEhtkRGd5Ud7Zct61e7MoYUnqInYNduBVnE/fYx8NxZ5ClNK5XCkpaHZp0bGechvUW3anP43p5Gi0Xa1nKoCmj2M41LPsKkdCP0qmzsu5Ms1A7wXz9RSr2OJ5XR5WTJPS99IafoTv8FEobGxnf96jat5ipfYeF2suUrWvYXglVihDRRsmZx+mNfICQ0r/pwfV8h3zjFPP1lyk0zlCxb2K5eXx8NClGWBsiaz5Mf+QjmErvXQSSABenF7g6t4SmSORiERJhk5AWHMPxqlzK/y7F5kVqzhS2VwZ88s3TvDzz0+uOo8tp9qd/jb7IBzt8k89i/Q2mKl9nufEWlpdHIGEo3eTMxxiMPUtMa/nvCQmn+RK+O4Vrn0FS9yOk9iwE37dxrTdx7ZN4znWc5gso2rGAfSBexq59EdDw/TKyeh8rCcNGeO4snn0Rz50MMmYRQlb3I6QwsjKM3fgWTuPrSMpo8HehoehPBqUQ9QDSNksud8x0DUPl4NFhZiaX77mX+78WhBDEIgbPfvAIiizzpW+eYilfxfN8rtxc4PrEIpl0lMHeJL1dCTLJMLGIgWlq6KqCrLRENHxwXA/LdqjVLUrlBsvFKgtLFaZmC0zNFtYxFQCyqSgfefog/T0JLlybpdEIeMIrCz33Ak1TOHZ4uKOAs+M5LFmL3KzeXG3/na5P4fgO3UYPj2WOcyB+e/VWCMFI4nb2sDeT3XRsRciriyYbsdio0qYHBM+vUG2+iiRFESgIoWCoe6k2X0UIA4GMqvTguAt4fh1D3Q2MdaTvLTQqnOggvxhTDbrMCNGwwcBQmnBY3/CC86k2XqDWeAnHnSFsPoMkdMq1r1Jv/gDLuUyp+peEjCeRpDCSMClW/jQ4hu8CEgiBrt1Ho3oK11tAU3e2LY1ZboHrxT9jufEmptJLznwUx69Rtq4yV3uRYvMSsmTSFXovklhPr6s5U1zM/wfma99HlWIk9L2ocpymm6fUvESxeY6SdYl96V/FkNfbN3m+zXz9Za4W/hBdThFWh0gZh/HxqNoTFBpnKDTO0HAX2Zf6VRTRXh6zE3RVZkcuRbJVj19roY6Q0OUsKcMkxf0sNl6nYl3DULrpDr133XEUKUJEHe74PfnmWWaq38X2SsT1vchCp+EuUGxe5Gbpr7C8AntTv4whBYmBpIwGgVI7hqwfCxqO1EMbMk4AH98vI8k9CCkN2Pi+haT0o4U+gWudBiy00I8h5F7wK62FuQ2zGd/C94oo+nsQQsf3A+t3AFl7EN8v4Xt5fO/2rExW92JVfx9Ff4LtSiBsGXRr1SanTlwH4OaVOd73sfsJR945tePdwPRckWvjC4xPLTM5s8ytmQLNDaI8ruczt1BibqEEjCPLgTea1mrNlFanUIEs3UrgrTfsO75g6g2L771yme+8dBHLdlb1IILFlHs7p2Q8xNGDg+sCo+/75K1lLlUuca1yhenGNAuNBYp2ASEE98UPcSz1MDk9R1bPElLam/UB6Mrmnzum6RiyQs3ZLNhxdnkWx3fR2FiHlNGUUXR1F+AihI4kwmjKSOtvIEsx3Jb9vCxFO2Zfvu/zpZtnmG7j3guBgPZQJIkkCXp6N9fLBDKm9hC+XyNkPI6m7AIUFLmXsPE0IZ5AiFCwCCKnSER+Hs/LI8tpdPUwihQsFCpyDt9vYmjHkEWi7Qui6S5SbJ5nMPos3eEn0aQUHk0KzXNcL/wJRes8E6W/I2M+sj7o4nKz9BfMVp8nru9hJPbjJPR9yFIIx6uw1HiTG8U/Y6b6XaLaLsYSP8PampssNLpD70UWGnF9P6acQ5Fj4Hs0nHnGy3/NdPWbzFS/w2D0R0no+zaNfSuMdWXQVQW9TSuvIkLsSPx0a5oO7vJvUrXHiajD7E7+4oYfQyC3q6W3sFh/jZi2iwPp/56othOBiu2VmK19l2uF/8xi/QQL9VcZCL8ffA9Fux9JWW+8KdR9FO1F6rXrpLQuFEnlevU8jpegxzxEUsvScOssWQskJRdD3Y8tjdBwazS8GhnfB8IUGEb2ZGK+u2r2KimDSEp7vWkhRVDNj234q49rn0NSdiO1cUnvhC2DrhHSOHB0CN+Drt7EqvvDPwZ86Rsn+db3L1Bv2DSb9jonh05wXY9KtQm8c9fgcrXJqfOdrarvBZbtrAbsolXkcuUSZ4pvM1Ebp+7WcHyXrJblscxx4mqcv578K3ZGxjiafGC1/OD7PnXXouo2MGWNsLy1lXhfOE5cM9oG3WulJV6avcH7+natW1yRpTgR4wkk6fb94Pte62+36VCKvJb5sH4MQYnE5e/Hz/PXN96m3StOEoLdiSy7E1tRcAS6uhd5TT1wvDrPhaJLtznKSLgLHx/bA9e10aV9KIqMLqmrNXHfb9C0zuH7Nqb+MEJ0Siwk0uYxRuP/AlWOrQZmU+ml7sxQyd8g33wbxyujrikxlK2rTFe+hS5nGI59kt7IB5BWa5JdhJQ+Gs4814t/wlTlqwxFfxRduc1CEUIiru8jqu1crfuuwFR68XEpWZep2DcpWZfuOujGQ50TKSEkVHH7XFbGLZBR5a0dTzZCFho7Ez9NLvTEmpdSDyGluzVTuEipeQkv/FTLwHbzi7riFHlt6TmGw7sw5BCmiDBbn0CRVLJ6LxW7yPnS65hyhCvlMzySeT8XS2+xaM3SZQwQVzJM1q8x27iF5TXYEz1MrzmMEFLrXmhNclp9Xp7nr7JNfD+4byVJYDdvYNf+FCGW0MI/h+sogBvMnu9QarwDTzc4QDFfWXXT3Qq+7+Njtbo3rNbI5VYmZIKQ22YQK95EK6hXGximvk5QRpKkdf8vlOvrOtL+qeGFxef5xuzXEQiGwyM8kn6UfbH9ZPQsilCYrk8FtDohr6v3Nj2bk/lr3KzOocsqH+x5gLDS+aHam+iix4y1td0u2w3+7/MvkzMj7Et0rZo4ChGUFNZCCBkhOmfZK1gJttO1Il8ZP89fXjvJfL29GWK3GeXpvl1EO6qMSajqSKuOfBs9Zoor5UmuV6apOQ3mGnkankVWj2PKOlE1xMH4cDAemlRqX6HaeIGI+Qy6erDjQ6PLKbpCx1Gl2Lr7WBYqYWUQTU5guQUst4i5pv18ofYDbK9IQj9Ixnx4TcBtfV4ySOgH0OU0TXeZgnWeLuXxNXsIJKGsy55XtwjRWrxKU7FvYLvtZwz/GJAyDhPX9mzSMVGkKFF1lGLzPLZXwvPBTPx2qxV3PVRJR5VUKk6JLmMAUwqT1DKElRgZvYfx6iUMOcxweA8X3LdYsuZwfZdec5hdkcNYXoNbtSvU3DK+71O083Sbg8hIlIt1lhbKxOImzaaDokgU8zWyXTFUTWFhrogQgoGRDFcvCTT10wztzFHIe1w5fxlFkTlwdAizg8X96vlutdGxXa6cm2ZhtkBXX5Jcm+kdrEzPCzTt8zTtS1jOdVx3CR8bSYRR5C40dSeGegBN3bXpgbUaNnM351E0hfJylYkLkwzu68eMGFgNi2qxxsjBIaLJ8B3fIv9UEFViJNQkTa+BKlTqbp25xiyu75LW2nNnVxBTTXRZ3eAp0R4j0RRHsv2cy89tsjbxCUoM/+6Nb/ITY0d5KDdIbyiOcpemgRDcI0WrwUQlz6mlab42cYHTy9NtTQoh6IY73j3Ke3p2dPzNJSlEV/L/2PR3RUj0mml6zXTLJt0hohrE1QgNt0lMDeHjBxxqYRALf5JY+JN3PAdFChNWh9qMRyBLJlJrau3562dSJfsKnm/jeDWW6m+0LbWUrRt4voXvO9Sd2bbf7/oWTWeRpruE41Vw/SY+DrZbwnKDjkK/7ZzhHwfCyhCK1L6NW5ECiywfBw8XIbX38RPAjsgBblQvMF67TDKRRZdCLDXnSGvdhJUYi9Ysc41JLK9BSI60GodUFEnB9RUyeg+enyOld5PVe5BaL4G5qTxvvXKVcMxEbTmSR+MmxXyVZCrMuVMTPHh8F0IIPFfgySaWpXHyxAU0TaHZsDvSPted61YbhQh80sxQa/GiA33IdicolP+QSuM72M4E0M4SXcfUjhKPfJqI8UPrpqFWw2LiwhRWw2b25nzgLtzyL1qeydOsW/SMdBFN3jmT+qeC+xNHSGkpxms3Ga/e5JWlH9BwG+SMLgbMQQzZwMff5EJqyBo9ZpqiXSNnJNDlrUVTZEni40MH+O7UFW6Ulzdt9/A5m5/l3596jgeyAxzJ9LMrnqU7FCWlhwirGrokr+pjuL6P5TnUHZuS1WC5WWehUWGmVuJGeZkzyzNcKMx3DLYr2Jvo4ifHjhK6h75/SUjsiwe1wO3YMG3/uArKNrL5jbDcIj4eRescJ/1NG1IAACAASURBVBe25v/KIrQpaPu+R9WZYLb6PIXmWWr2JE13GcevBVoKvh8wSDpwqt8JHM8NpDvfhWRHkcKbsvz26By5HN+h6pTI6X3k9IAt0G0OUnPL1N0qOaOfmlum6pToMYeIqkm6jQHUlvqeJukMhHZyq3aVor1EUs2sVjEkRSKRijB+bZ6H3rubxbkSruuhS8GI+oczdPUlsSyH5YUytu2S6YohSQLHcVddg+94HbbauGI5XC7VibShiwH4fpWl4m9Trn0JHxdV7kNTdyHLWQQKnl/FcWew7IvUmq9gu1P4nk0s/OxqxmtGTHY9sINqscbg3j6EFNhnGCGdeqWBbmoku9bTRXqycfbs6No0nv8/Ix69Xa9LaAkS2mH2xw6wbC0x15xjqj7J9co1ThXfou7UcX2XN/Kv4+IyFtnFYGgIEMw18liew43KHAOhDKa89XRnVyLLp3ce4bOnn+8YDPNWnW9PXeb7s9fpDcVI6SFimtFSHJNRJIHvB23Htu/SdB2qtkXJblJo1llu1rb0FVuLoUiSX9j32B1qudvDuyvhJ95BYBNE1VGyoce23EtCJa6t1w+uOzOcX/otluqvIwmDlHmYrvCTGHIaWRg4fp3x0hep2O0t1O8VDbfJqfxZBsN99Jhd7/haBhn+9o9RsCpcKE2yN9bPYrOELGQSapjd0SOUnRoQsG4UEWIwdAhNCrjgw+E9eL7Hin9gj3l7MU4IQVLLklDTK39YPa9cd4JQWGdoLBcE2N4k5WKNVCaKbqokM0HrtSQEQzu7sC0nWPc6MsTyQploPIS6DYPKOzhHCBKpwFX03Mlxhsa6CIXXP8CVxvNUGt9CkhIkIp8mYj6DLKVbHUES4OB5dRxvhnz596jUv0Ox9tfo2gEMbX8wCFUmO5AmO5DeNIa1WBv0P/aB+3j6+DsXt35X4PvMVMtMlksMxOLENIPZahlVkihaDUbiKSQE46UCmiwzEI1TtpooLQ+rpusiRCAEcm55joFYnIiqc2LmFgu1KnszOQ6kDrI7uodjqYcp2gWuVa5ypniGido435z9B15Svk9Wz3Jf/AgxpY+cEedmdR7Hc6n5DVzfY9kqoEsahqwTV29P82QRZLsztRJ/euXNtk6tK2i4DtfLy1xvkxW/U0gicC74hX2P8kTP6H9DxdN3F5qcQCARVgcZS/wsW1GLgpLH+tnJZOXvWaj9AFPtYyzxM2TMh1ClGLLQEUKm7swxW33+XQ+6AkHBLhFqmvSY/98nOGW7waXSFDsi3cw3ipSdOhWnwTPdR5hvlCjaVQ4lRnh18fIqw+/x7D5USVm3ztEO7Uo80bhJNG7S0x80d4QjBl29t336Vox5VU1haMfthMAMaeR6EtueDdyBp+uzvFimXrPo7k+1Fbyp1r8LvkM88mlS0V9CiM36DMig+oMoiR5sZ7pV+z2/GnSDi7C9AXu+T7XWJBTSSW9wXKg1LEqVBslYaNVfrVq3kCSBobXXPbUdl0bTJmRqHfmxd4LreczN1VAkha/OX+HHdt/HleIyi/UaYVXDdyU0WWZRqdNwHKKawbJXJ6GbGIrCQrWOKkm8PjvJPinHqYUZPrZjL3PVCiWrgYQAIdCERkpLkVST9JsDPJo+TtEucrVyhbOlM0zWJnjNfZOxiIrreSiSjIfPueJlpurzhGSDiBIiJBscSa6XzkvqJj+39xFSeoi/uHaSmVp5Ww4P7wZkIdFtRniqd4xP7zzCaCx1T1Na1/NoWg71po1lt8Rn/KDAIAmBLIlAx1ZTMDQVtSXS818bCX0/s9XnaLrLNN08Ue3uOjgX66/j4ZLU76M3/AyytH5h1HLzON7mhdB3irxdoNvMbQhgrZV87iw89E4R10LE1BARJQh2I5EuJquL1NygG6/uWjQ9h4pT50hqlBuVwEpele7WSa89tntud3sN7lheiMZN0rkouq62ZS847hySCBEy3rOuTrv5WBKKlCNsPMFy+T/iee1FVu4E23Z5/sRlenJxHjywnsM3MZPnT77yGj/1sYfYNRy8iW5MLmLoKiN9aWR588UpVupcv7XIgbHejhbYd0LVtqnaNq7vUWo2sDyXXChC0jCJ6wbTlTKKJHG8b4ipSomFeo2m6xBRdSzXpek4CEXhYKabfekcr87cwgd6IlHSXoixZHpd1ieEQBUqqqQSUkL0mD0czzzOorVI0S4QVTLM1vOosoKMwPM9uo0MspDI6klK9ma2gBCCjBHmZ3Yf40Cymy9eP82bi5PM1cvviv16O5iySncoyqF0L8+O3Mex7ADKFhoM7eD7PpbtMjlfYHxmmcsTC1yeWGByrsBSsUqj5XaiawoRU6crFWWgK8FIX5od/RkGuhL0ZGKo25CgvFfkzOPclP+Cin2D6crXGYn/OKoU3/Swur6F69U2bQscrVce7vWfcbwaC/VXqNoT7/q4dUmj4TbJGenVKbgiRRBIAUvDK6LL25dSvVuoQiaqmMw1CqT0KHE1jG0GYkJ116Zs1ynbtUB/RGgktQiW51Cy6qvXz5TVVWF2RQq0uv9bz6DuYNcDmqESa4nHtIvokhQOqGBbkKLXHVOoCKFte/8VOK7LyQuT1Bs2c0tlenJxLo/PM79UJmzq7BnpYs9IF2NDtx2Bl4tVloo1BrsD3dFaw+LK+AKFUo10IsLoQJqJmXxrShfUJM9emaJYaZCImnRlYiwVqgz2JKnWLRaXK8SjJuPTyziux97RLjLJCIv1KheWFxiIxoPM1vfXCFULNFkmaZi8OTdFxbLYlcrgeB5nFmcxZAVVljEUZU2/e3DOcc3gxOwtsmaY+7Ld7S/M6nUVZPUsYTnGmeJNAK5Uphk0szySOYRAtLWr3ghNVni8Z5R9yW6+P3uNl+ducj4/x0SlQNXZ2Al094goGgORBEORFLsTWQ6n+zia7Sck371Ghu/73Jhe5qVT1/nB6etcHl+g2mg/RqduUa1bzC2XeftqoEyXiJrsH+3m4QPDHNnbz1B3Ck1994NvSB1gIPpxLhd+j4ny3+H4ddLGAxhyICzv+nWa7hJVewJFijAc+yRrg2tc302+eZpi8wKzte+S1O8LPP/cRRbrJ5ipfAvXv7NHmu97gbSjX22xHHxc38LxakhCQ7DepECTNJpek8naDCPhQQSCmLYLWZjUnWnGS39FV+hxZBEKWAe+jan0oMl3JxreCaai877uQ6szFYAuIwjyGT3G4WQwYzibn2O8ksf2XErNOYyWjZTjuQEjx4esEWEgksKQb/PZ1zYxbWUM+27jjpSxhdkikiyxOFukWvl/qXvvKMnu677z82Ll3F2d03TP9OSEyciBBEAAIkRApETKIkVKshW91h7vWsc6Z732rrzr3ZXtXVuypJXltSSSoEiQBEGQiAQGGGAwg8mpezr3dE6V04v7x+uu6ZrqOAIo+XsODqYrvFf16r377u/e7/1+i3j9lWOYbnUfRe0CujEErsNr7sxGo6T3okiNKGsIiqyEqbk0F66P0d1RR1EzSKTz9I3M0lQXYmh8HsuyuGdX5TSJIAj0j8ximRZNdSFGJha4cGOMbe21yLKIgEA6W6R/ZJatbbUspPJc6h2nrTFG/+gswxML5AsasZCPqfk0l3vHiYZ8zCYybF3m4Fvn83OkvhndMvnMlm5aAiHCbg+WbaNKEpoZJaCq9CXmEf0C26OO2I9hmSiiRI3Hh09RAZuw28Oh+iZ8isqWcIS0VtwURUsWJYKyh6ligojiRxJvc6M30wiJub18tm03DzR00p+aYzSbYDSbYHjRzma+mCOjl8gbGrplYdoW4qIcpyKKeCQFv+IipLqJubzUuP00+YI0+cI0+0I0+8LUenxrqouthaKmc/rKCN97+woXescolDZugb2EZKbAqUtDXLw5zuPHtvOVZ45QH1uZqvS3gYBIS+BZNCvBWOZlhlPfYCr3E1xSBCfoFtHMBCVzgUb/47RTSV9r9D3BTP49MtoAvQt/hE9pQxQUSuYCRXOaWs8J3HIdc4UPq/Zt2zY5fYSRzLcx7RKWrWFZzv4sW2Mq9xZ5fQxRUBEFFwG1g2b/M8iilwUtiSqoWMvYSDXuw0Tc+5jOn2Qo9VfMFk45QdfWkUQvXeGvEpX2f3zHbhX9j+XI6CWmCmkkQaTBG8LULQKKm5lihoVSHkkQCbs8yMuy3IGxOd44c5NEukA44OGXnzlSYfX1SWLNoCvJEsGwl97LY6gueUUTuoDnGTL5l8jkX8GjHkG5Y2xvOfLFkxRK5/B7Po1b3bcp48SJmTT1NQEO7W5hNpFhcibN4Ng82XwJ3TCpDVdTeSJBL43xEIoiYZo2swtZasI+ju/rKO+jvTHK5IxDKB+ZWCAW8nFsbzunLg5yvX+SmogfR+nI+axbmmNMz6cZHJtjZ5eTffoUlYN1jeUfVBAEaqj+PLUeX/l527Z5qGXLit83oC6tAmRONK1+PFeCbdv4ZDcxVwC3pKKs0G1fTxti6fOdeaeXe+7byuHaFg7VtpA3NNJakZyhUTB0NMtEt0ws2y7zXgXBWTXIgogqSrgkGYkpsHqJeRqwzRuIog/LypLOa/hdx1HlLRsWabFtm1xB4+X3rvHtNy4yNpta0SR0MyhpBqIoEPStNeJevbTfKARBwCXF6Ap/jaj7ANP5d1goXiSt3cTCRBWDeOVmGnyfWhSLESp+o7B7N7tj/4xb2e+yULzMXPE0kuAmoG5lS+iXaPA9ynT+JMnS1RX27ug+DKW+vmjVU3ms0lovaa138S+RmPsQDb7HkPESVALo1ihe+faQgkuOsT3623jkemYL75MsXQfsRT2JPUiL03wrn2PCGs+t/JqNrH7ur+tEt0xckoxLVBxvO0mm0RtaDNoCAcVVvsHbts21wWn+5o2LZPIlGmtDfOnJe8pBN6OV+GB6mAcatyDgNLrdknxXvoArYV3BG1M3CUW81DdH8VaJjTgz9tHAbzCX+t+YmP9VfO4Hcal7nJl2QcKycujmGIXSGfLF91GVTvyeT6EZAysud1W5E3kFabiAz0XvUJGFZJ5cXiMU8NAYD3L/PZ34PS7CQQ/5okZRM8jmSxQ1h6hcKGpIokBJN/C4FcamkyTSBRRZwu2SyeY1ippOrqARCrgZnUwwl8xS0nRqIn40wySRLjC+GJgb4yEeOdrNueujXLwxxoOHHZPEjTRklh+7jf54m230JPQs78/dwC0pzJcyNLTGCFSM69qUijr91yfIZgrE4kGa22uYHk+SSeVp7qglHPVxa2i2TKcp5jXmZtIk53O4XDJbtjeQSRcYHZpBzxbp6KqjvjlS1rK4EyW9QF4TwRrCtFPIBLEFBUkIIIoBNhrMbNsmmS3wwmsXyhfMnVBlCZ9HJRry0RIPE/Q7flyZfInxmSSJdJ5CyaBY0ssiP421IR440LmqOWiT/0ni3nsRkMqyhYZVqhhECKjbOVL/R0iChEu6zcLRNQNJcqYpZcLE3Q8Scx3FMAuYlo5pOrKDbrcHWXQhCR5AQyt9iGUlUV1H0bTThKQgXt9xLN9xbHQMow+f94uoShuioNLsf5o674NVCmc2EHYd4OGWlxdvjLcfF1dgUUiCgroouh+U/RyNHSgHrvJ3VbrojvwOnaFfWea5JgAKiugvOz9rtolHinEg/geYVglF8iMJLlLZIrphYlpWuRTnKnyBLdLTROUIqZTE+Mw42zvq1jRsXULcvfI4sn+Z48ny6y1b0BgYn1vx/AHIGxoly+TdySF0yyRnaByubaHVH/lY6sFrBt10Mk/ftQnauuJc+WgYf8BNTX1lvWY29b+TK7yKYc2ACSX92po7LJSmGS99sOrzjbE/IeB9purxzpYarvZN8t75AVyqzM7OeupqApy9MoLP62JfdxPzyRyFgsaVmxOoioRl20zNZRBFpxbb3R5nej7Dd9+4SEt9hN3bGrnUO0YqU+RizxjH9nVwK5jk1VM3aKgN8eT9Ozl9aZgPLg3h86jEYwGu9k9yY3AKEYFje9vX/K5/FwjKXnaEWpAEEY80v2LQnhiZ5/RPeojFA+QyJWzL5tKZIZraYrz76lUe+xlH2Oij925y4NgWEnNZ3v7hZdq64vRcvkUg7GXgxgQzkynmplPU1Fc3hZbDpbThUtq4nWUtv/SX/702SprBS+9c5S9f+ahK9U2RRZriYY7vaeeRQ9vYuaWuqjlmmBajkwnO997izLVR+m/NMpPIsruznoPbm1f9DrLoRb6jSTyRv4RmZZ2mkp0nq8/R4jtEnXt7RdY+2DdNXUOYTDpPJl3E41FQVIV83qk1JhNFDN1ix54Q4eiSHq4LUYyAIDlWMOYcHs99CFzBNG8hiDFUoRuXHC9Pwa30GcFxC5kopvBJbnTbWnT5tRAFkTZfzZrUKidDr+69mLbNSLaAbQuIglJe3WT1ErKYRBVlVFFkOJvgaG2rc6Na/ClM0+JC7zhBn4uLN8cd6c6Qj6baIJruo39ogfoaHcOwNmTNtPQ5N4PZRIb+0dlVnw+qLjoCUaYLGQQEOoMx3JKymCR+wpmuosoEwp7FjGDlNoxt5xHFEOoqWpebhSj4V3xcVWR+7vFqK4zj+27Tb7paazl6RyDc1VmpVfv0g5WOr196urIO/fi9lVSqT52o5gIv3+fdYGE2zWDvFAszGXTdyYS8fjdNbTE6uhvWLOqP9E/Td22cmroQe49sqXqtV3bR6I7Rn53AJ3tWdH5weRRkWSRaG6ChJcr0eJKtu5poaImQSRXIpPPUNUZwu29nGQ0tEbr3NJNJ5SkWNNxeJ4to64wTrQ1s8MSvHp/dDC70jvPC6xeqAq5LkTm2t52fe3Q/+7Y14lrFI0+WRLY0x9jSHOPJEzu40DvO6SvD3Lu/Y8O+ekvwK3EMO4wiuCmaSWKuToJKQ5UkZKmoMz2ZpPf6OIWcRjDkQXXJ5HMlWjtqyWZKFAsaC3MZAiEP8gosClEIoutXsO08guDUnF3uR3CsatZGydK5kRrHK6mIgkhCy2HaFnF3kDp3qMr0dSPQLIN3J4eQRBFZcOr4+6ONaJbJdD7DeD5FdzhO3tCrjC0FQaCjMUo06C2zhVRFIuB1MTGbIh4NEA54yRe1T6S5Zds2s4kcwxOr88w9ssruaD277LryZ/44sa5HWiDkwTItWjvjeP3VP1DY/zUsewWRjaWbwvKbw503ihX+dqlrKyQt8S43UmD/+4j+a+O88q0zXDozyPx02ll+yk7Qffy5Q7RtrUNcpblk2zZvvnSBl79xmm27m9m6qwlfoLIOmdULTBTnSel5AvIKnGnA7VEZGZjB7VVp2VJLy5ZaLpzuZ3oigSCAy61w49IoE7cWuH5xlFDEVxY/AsdaXBAFbl4dY9ue5sWS9yfL2Uxk8rzw+nnmU5UOE5IocGJfB//ocydob4xu+DP4PC7u3dfB/m1NyHJ1tmdZNhcGxrEsm8PdLVXPR13ty/5qXXXcuL4xTLGos/9Qx6JoE8xMpigVdWLxAMGwF1WVCdzhPyhKDYh2DJBQXccwzVtIUiMIXkdASoxt6LuqokxXoB6vpGIDjaaBIkr4FRfyGlmuZdtlG3bLtgm5HA88RZKwbac/0R6Iluv3bf4IeVPHKynUuH1E3V5CiruqCSyKAu2LHoaBxUGrpR5CbcTvHME1vpZtmxSMKWxsCsYEBWOSeu8jG1Y8M0yLW9MJFtKrO5Us4ZM6n9cMul6fi72Ht6y5AY+rslN58uIAIb+HXR31VcaE60E3TfK6gWLpmJazBMqWSuR1nRqfD8u2Keg6WU2jJRyqFFv+bwDJ+Sw//s5HvPnSBVS3wv2P7yZWF0TXTRZm0rRvrVu3huvzu1FVmWDEi7wCvWmmlOL8Qj8FU+PRuv0rZrq9V8Z46DN7UVSZ8eE59h7Zwv6jnZiGRSjixR/wEK0N8OwvHqemLkQg5MEf9BAMezl03zYQBBJzWR5+ah/pZJ5bg7OEor4Vs7TlGOmfJpsusOtg+6aOG8BbZ/u4OjBZ1YTpbK7hq589SkfT2tOMK0EQBPyrKEJZtk3PrRkMw1ox6FZta5UUIN7g1EeXN4aCIS+NLVEiUZ8jrLLCby4tk8WU5GYkuZm7Wdr6FTc7Q81Vx229gHIrnWIim0YURGRBZMCcZ66Qp8EXoCsa4966DiKu270CpxQhE1E9i72A9XE3PQ7LNsjog5hWEdPOkTcm0e0Msr2ykM6dyBc1bgxNb9ip+pPAxzO6sQz7tzYhSSLSXSwNrk/P0j83jyQKuGUZt6KUR2XP3hpnoVCg1uejLuCjKRiAFYKuaTpTSbphYpqWI0yuGZjmGs6PHxPqaoNr0k5G+qe5dn4YrWTw5X/8aR579iCKImHbNoZu4nIrFfKVd0IQBJ76+aM88OQe3B51xQnBZk+MpxqPMJCdpDczRquvtkp7wRdw03d1HFES6eiuw+t3EQx7y/sAqGuMULdMVc4fdC6wuqYI+WwJRZWZGJ3H0E269zSv2kRbgmmY/M3/e5LkfJb/5c9+ec3X3omx6SQ/OdtHJlfZ+PB5VL76M8foaqpUXSsu/f6WhSyJGKaFS5GRJZFCSS+zFLKFEoosocoSumFS0HRM09FL9blVBJxEIJUrYloWHlXZUGPnTti2jWXbi+elhYmN7FFIFzTEoo4oCsiSiCJLKLKEINwZhO4u47JtR5i/pBsYhoVlWVj2Ig9DXKT3ySKqIiOJlTx8VZKYyeXYEo4wkk6RLBYIudxM5bJ0RWNEXNWrqJW1WRyDAN00MQznerRsG9taWrE675NEAVmSUBUJWVqdJSAIEpKgMlN8lzrvgywOTm/4eKRzJa70T270EH4i2FTQtW2bfElnci6NIotkCiWCXjdNtSEsy2Y2mWUhnacuGsCjKgiCkzEkMwVmk1l0w8TvddEaD2PZNtMLWVK5IoosUh8Nopsmpm0TUFRkSSLgUrFtp4Mf9/toDgdJF0u45UoivW1DSdOZmcvQNzzD+au3uDk4zfRchly+9LemFG0U//5f/Bx7d6zOP07O50jO5RBEgcMPdBMIrbz8Xwv+oKccAFeCKinUiiFqXEFs7BU71HsOdbDrYFv54ltt8GU1eHwq931qVzl7Wk9nGWB8ZJ7hvmk2ey+2LJsPr41wc3S24pYpCPDpo90c2N5UVft7+9IA5/vHyBd1/B6VZLbA3s5GdrXV8Zevn+P//IdOo/Y/vXyaYztaOdDVxMkrg3x4Y4SiZhDye/jNnzmBIAhcHZoisXj+drfU8kufOlRu0N0cmakYxmiqDVET9ld8HsMwmUlk6R2ZKTfvphYWz0sbvG6FWMhHUzzE1pZadm2pp7U+Qn0ssO6NbK1jlsoVmJxNc21wiks3xxmcmGchladQ0hEECHjc1NcG6WyKsXdrI10ttTTHQ3hczrVV7/PzVFc3oiCwo8aZ7pzOZcnrOj5lfa9Bw7RIZQvMJXOMTiXovzXH8OQC4zNJUtki2UIJ07RRZAm/V6U24qOtPkp3e5ytLbU01YaIhX1Vo/kCElH3QcKu3UiCm5KVQF1BBtJeZFDkizr5oka+qJHNa1zpn2BkqrKeq+kGV/onNjWR2lATpC660V5GJTad6Q5NzPNvv/UOx3e1k8wWSGYL/PZz9+PzqPSMzPCtty7y6KGtfPa+3aiizEwiw2sf9jKdzCKJAk01IRprgvSMzHDmxij5ooZuWGxpjLJ/ZzOdW6OEPetbAi19WcuymZnPcPLDPt461Uvv4HRVo+WnhbViu23baJqBrhu43EqVlf3HiTspPlXPCaxaN97o9lcaqV4Ntm0z2DNBaiFLJLZyo3Q1pLIFrg1MkswWKh6vCfu5b38nIX/1jcuyLGIBLyd21nLq2jBPHd3BRzfH6GqMYSwTyzdNC8uyGZlO8GHPKD973x72tDeQL+m4VRnLtgl4XXz504cwTIt/88JPmE3laFwcoPiDv3id60PT5e39xvP38vOPH8StOtlwOlvk7PVRfnjqGh9eHV3xvMwXNeaSOXpHZnjrbB9ul8zT9+3iv/uFB1FFEdMqkTfGHIcI28DCQBa8SGJ1WcRezKYv90/w9rl+3rs4xPRCekX7qHxRZzqR4dLNcb739hXaG6M8cXwHDx/eSmudI94iL9XwF//fFFh/cKSkGdyaTtAzPM3F3nEu3JxgbCaxqoVVUdPJ5ItMzqW53DfJD969RiTg4dDOVp44vp3Du1rLxxOWzm2lLBGpmQlkwYssOgFT0w2GJxOMzySZTWQZn00xUf4vveLE4lwyxz/5w++t+92W49d+9jhffvrIXY2PbzrompaFJIo8fnQ7dRE//+IvXmV8LsXBbc08cs9WBibmUJYt+68OTjGbyvHFxw7SEAtSWrSkeefCAGOzSba11DKTzHL2xiiHtrcQ8W7cEsi2bSZnUvzF33zAe2f7F614/v5gejzBzatjLMxmyKQK3LwyhlbSsW349n9+t6IJFgh5ePy5Q1VZbKmo8/I3TpNJVQadeGOYz3z+yLqfIZXI8d3/7xStnXGOPNiNL+BmsGeSnku3SCVyIEAw5KOju46d+9tWLG/omsHY0BwDPRPMTafRijqKKhEIeqltDLOlu55YXagiw7Msm4EbE4yPzDE3leL8qT5SiTymafFf/t1rFdtXVIlD93fTvad6lTA2k2JgbL7q8d1b6ulsjq1YAxcEgWjQi6rIxAI+ogHvIifUeX7JksUwTWxscotc7tbaMKIo4Peo5eDcUR+lJuglUyjhdasUtNUn3xKZArpu4lYV5lM5fnDyGt97+zKTc+kNF7ZM015c9jvXkGFlSJauIwleCsY4IOJX25GoDrqFos5L717l+29fYXBifsNefZZtMzg+z59//wNuDE/z/KP7OLCtad0a/Z3IFUq8drqX1z/spWd4mmzh7sbGE5lCeRtfevIQT927syxgtVC8iCi4SJd6AIFE6TJbw18r0+VSuSLfev0C714YIJkt3LVf4SeJu6rpRgIeGmuCSKJIwOOipK1s34Es/AAAIABJREFUaQyQyZcIel2E/W5EUcDjUsgWSqTzRdrqInQ117K1uZagz03Ev7pgzkoolnT+8sUPefO9G+jG3z/F/JtXxvjmn7zN9ESCYkHDXPYZX/7G6YrXNrREue/Tu6uCrlYyeOsHFxm+OVVRJtl5sG1DQTebKvDCn77Nofu30bmzkQ/f7uFHf3OG0f4ZCrkSCAIer8rhB7rZvrcF6Y4MOJsp8Ob3L3DyR5eZGkuQSRUwdMcLyu1RCUa8NHfU8jv/4lli8duZkGmavPBnb9N7eYxsKk9xUVU/MZflhT99u2IfHp+LSE2gKujats3UfJpb08mKxxVZYltbfLHbvTKWgvHy+qhLkdFNk4VMHtu2GZtPYVo2PreKYViMziQJ+Z0hm6WgJ4lLBqbrN4eSmQKaYZLJl3jxrct8+61LJDbQJV8OtypzoLup/JkFQcEtxSlZ8xTMGVxStErkHJwM8+uvnec7b15iPnV3NlYl3eTdCwPMJrJ87bPHOLq7bVPNcNuGsZkkH924dVf7vxO3ppP85Stn8bkVHjvSjSSJKGKAvDGOLHpRpRh5Y6yCF63rJpPzaRKZwhpb/rvFXQVdYZGbtxzmYsFe001KukG+pCNJIvXRAD0j0wxOzNNaF6Gkm4T9blriYdK5It2tcWRJRFucGNsobNvmtXdv8M7pm38nAVeSRFRFIuh309Vey65tjbQ0VCoude9t5iv/5NNoizelK2eGePU7H2FZFv/w954mFL09PeTxqBV/L8Hrd/F7f/gLFPMl8tkSP/zmh3zw1vVNf95susCr3z7L+ff7EUWBBz+zF6/fTTqRo+/aBPHGcBXH1DBMPjp5k7/+o7cwdJPd97SzY38rvoCbTKrA6CJnWNeMqqaeJIk8/fPHePhpR4jlnR9e4oO3blBbH+Jr//TJO14r0b6tWq+1qBmMTiXIFiqDTG3Yx5am2KpLO0WWUEwJSXSaRKIg4FJkYkEv21vi/MHX36AhFiTi9+JSZFriYU7sbOPF967w12+dJxb08Y+ePo4qSw7r0bYRBPC4FKQ1SkIL6Tz5gsa75wf45mvnyxNPiizhdSu0N0RpiocJ+lzIkkgmX2J0KsnYTJJsvoRmmAS8LvZvu33zUUQ/EfceAHxyC4IgVentljSDb73hTOktD/KiIOB2yXS3xdm3tYnGeAi/R0U3LOaTOa4MTHB9cJr5VK6c2RumxfWhKf70xffxuRX2bq2uma8Gr1vl0M5W3vqorzzBudQgDPk9dDRG2dIUoykeIuB1I0ki+aLG2HSScz23uDk6W5XATcym+f47V2lvjLGttRa/0oFHblj0jFPxyo2o4u0JVlkSiUf8tNStrH5W0gxmEpUqe7IkUh/bXH02uEJZa6PYdND1uFQaa26TsuujAXwelfG5FD84dZX+sTmGJhaYTWV5/iFnmVLUDL737lXyJZ3u1lp+4bGDPHNiF699dJP/+OK72Dac2N3Op49sXJR8Zi7DD9+8UtXRXoIoOnQgr0fFpcpIklg+eeYWsiTTt++EAZ+LmujtrGnJjr2kGeTzJQqLJYHl2LO9ic8/fZBdWxvxehRkSarie9Y2hKmpC5WXlvlsEeklEcEUOHC8ywl0i6juWDuQJJHm9hqnaWXDuff67qrBMnxzmunxJA8+uZfnvnofgZC3zI80dAMboeri0koGZ97pJZPM8+Tnj/Cl33ikrDhn2zamaZHPFikVDbz+yjq8IAjsPdJRPm7918YdVkDAzbGHKwdQlhp6dyJX0KqyXICaiJ+m+OqSgg/u3YJumkwlszwQ8uFSZZ45sQvTtnni6HZn2slyGA2qLDE2n6K1IcrO9nrcqoLX5bAUPnN0B7PZHOPpDH5V5Xeff2DVwQuA+WSOS30T/OcffEgmX0JVJJrjYR47so3HjnYTj/gRl5qWwu3OfiZXomd4mlOXh3CrCqFlZSdBkJCF2yvAO0eUdMPkrY/6+M5blysCrkuV2dPVwBc+dYCD3c24VHmRaw0sOnw8Z+5jbCbJi29d5s2zN0kuZoeWZdMzMs1/efkMv/fLnyIe2RgdSxQFdrTXcWJPB6992Es05OFgdwvH97azvb0Ov0d1mE0Vx8CpwX+xdA/vnOvn6z8+x8hkokzpsm2bKwOTnLk2QkdjFEUWsTGxbQkEZxJvyclXEARqwn7+h196FNOsTsRs4GLvGP/9v/t+xeO1ET9/9M9+Dr9n44MiqiLdFUMLNhl0BUFgW0st21pqy4/98lNHy//+zc/dv9LbePhgFw8f7Kp4zKXIfOGR/XzhkbtTJPrgwhDjUys7n9ZE/Ozf1czeHc10tdcSjwXwe11l2b4/+fq7fOvl8+Xu+7GDW/jNLz+4mL3bFEuOfsPsXIa+4Vmu9U1yo2+SxDJi/sxcBsMwCfhdq04zCYKAsKzhtHygQxSFDXX9l793Ucv8rlAsaBy8dyvP/tIJau6wPnKttsKw7UVtAGe/iiIhK7fl/xRYUQRp6fOuxMMU2BjbAaBQ0piar9ZdjgQ8xNcoLSiyRLaocfLaIB6XQldDDTPJDOl8kbxmoEgiBU3H73ZxT2cTuWKJbFHjlmGyq6WOmqBzY3ErMjld54OBQXyqwj1NjbRFwquK3U/NZ/jzl04zs5DF51a5/2Anv/jkPXQ116x5o/S6VepiAR68p8sR31njR15e5LBtm5HJBX5w8ioTs7evBZcq8/A9XXzts8cWZU1XuJkvHqetLbX81ufvozbi47/+8Cz5or64bXj/8jCnLg7y7EN7K84727bRSk5DWNcdOmYhryGIEAx6eeRQF+2NUY7taSMe9iPLEpIkUixo5NNFEMDrddy+RdFp+oZ8bp6+bxfRkI//55snGZ68zTAoaQbXBqaYO5yjJgqzhVO4pTq8SjOTudep9z6MR24EKJcwV4Jl2ytSOgVBwOtWV+Vsf9z42Hm6Pw0USzo3+ibJ5Ko1RNuaonzhmUM8dHwbQf/KLAiX6vASDdMJuktZ8Z0/yNb2OCcOdTKXyPLemX5+9PY1rvdNYds2E9NJ/uzrpxAEgfsOd32iItgfB2RFYs+h9oq663pQVJkd+9s49do1zp7sxeNVOfbwDrp2Na0abD9OlBYlPJdDECDgc697gYiCQCzgoy0eprUmTNTnYSadZSaZpbU2gtelYNs2bbURUrki06ksmWIJVbnNKjFtG1kS2V5bg2XbzOXyuBWF1vDK47fZQqnM/b13fwe/+uzxVZe5q8G1QXNDcI7P6SsjXBm4zTsVBNjRUccXnzxEW0O1cNRK8HlcPPfIPi7eHOf0lZGK53546jqfOtpNYJkCm66b9PdOsnNvC5PjSRLzWQpFjUjUTyDgISSrbA2HiAW8TIwtEAx5idUEyGaLXDo3TKwmQLQmgFYy8AdcGLpFQ3MESRI5tL2FBw52MvV6muKyUsPIVIJEOk84YpHTRykaMxTMaUAo60/8baGbJj3zs7hlmfZwFMuyyOk6AVXFsCxUSUK3LASgZJqYtkVQdWHaNuPpNKIADYHgukNbG/qFi6bGD8Y/otkb43C0C1mUuJmeYDQ/x+FYFyHFWf6cne8HbA5GO8vusJcSwxRNjYPRLcwU07wycY6nmw7R4IlwOTnMdCHFI/V7kASRW/k5LiwMcW/tdmaKKX4yfZWsUSCs+viZpsPUuR0qy+x8hqnZdBX/Nhbx8aVnj/DY/dvXnKWXZclZSi8yeEzDwjAsVmgIA07m/NQje2htivJXL57hoysjWJbN+FSSv3rxDD6Pi8P7VrLmXhuWVVx0cZUx7TyWXcIlNWxY5nAz8PqdZtVKU2yrQVYkjj60nZtXxvjgzev84OunuXh6gK27mjl4oos9hzsIb5ICthnohlWlBCVLIgGva90Gj9elcGJ7K1G/k7WGvG6aYyFS+SKxwO3luiAI1IZ8+D0qRd0gsGyJKQBBl4u4z4dPVbGxKRqrN42X0BwP8YtPHqoIuLpVZLJwg4Bci19xrOFNW0cUJCzbpGCm8chBJEFBWcnyagXMpXK8c76/og7q97h49PBWtrbUrPHOagR9bp66d2dV0B2ZTHBtcIpje9rLj5mmxc0bk+i6Samok0rmSSbyWIbNlq46kgtZ+nonaWyJsjCbQZIkYjUBgkEPmmYSifnRSjoXzw0jAM1tNdQ1hpAkEY9bYf+2Jt46e5OxmdvZ+2wiS7agoYq1xNyHEQQRVYwgiz5UaeVsfrPQLYvL09PEvF7iPj/XZ2fIaBqN/gALxQK7auIMpRK4JJmpbIZEsciJ5hbGM2lGkkk8ikKN1/fxBN3R3Bw9qTGGsjPsC7cjixLTxSQ96XH2hFvLQXe2lCKt59kVasUruxx+ZnYa0zY5FOviYmKI66kx2v1x6t1h6t0RXrx1mn2RdmKuAGfm+tBt5w7yrdFTHI1to84dYl7L4hJvZ6HTcxkSyeoM6OHj2zh4oJ5JbYi42IRtW9jYSIKMYev4JKdYLktLHWkn6uqmuS63V1Ek9u5o5h88J5DJFbnRP4Vl2/SPzPLijy8QrwnQ1rTx2X/LLrFQPIdp5REFF7IYQBRcuKSG9d98F1AUeVMBF5yAFG8M88u/+zgHT3Tx5ksX6L18i9GBWT56t5fmjloeeWY/Jx7bide/slv03waGaVbxKmXJkW5cD4osEQvcbkwKguOPVhOsblYKgoDXpeJ1VW7XtG1U2fGZ+2BklHs72gi51+aQy5LIQ/d0sa21tuJxyzYommlU0ctMpo+Iq4WMPkdIrUcz8wiCyFSmB80qsDv8OPI62ZtpWQyNL3BjGU8YnPrkI4e23pXf3+7ORuqiAaYXbvutFTWds9dHObq7raJEZNs2N29MOiPifjehiJctXXXMz2UYv7XA9GSKTMqhbFmmMw2nqDJuj4LP5yJjWkRjfnx+N647mrAdTVEiAW9F0M0XNTTdQBI8RNx7cTJcGd3K8HFNmroWHV5agyGHiZFOszUWI1EsMJxM0BYKM5nJ4ldVZFHCpygsFAoMJ5NsiURJldZ374ANBF3btrmZmaA71MyFhQGyRnFVZaKQ4mW+lCFvlkjpeUKKB8u2ymOoV1Oj3B/fQX9mkgfju6h1Bbm/dic/mb7CoWgXWaPIidrtyKLIgpZhT7i1bM8hLjMqTCRzpO8gyzfGQxw90EE0GOBq+iaDuR4UQSWkRBEFEVGQ2B7YBzgBdDm53zAsdH39gQpZEtm7vYnnPnOAP/qvJ1lI5jBNiw8vDrNzawPPP3Vww1MtNhamlcGydcBGFpswrCyf2KjyXdaDJUmkpi7IQ0/t49gjOxjsmeLdV69w4f0+ei/fovfKGEM3p/jSbz6Kb5Vyzt3Csuyq30UUBdzK+iwX27bJF7WqTvVa8HlUogFvmZ86k81yZcoJaiOJFMfbW9d6O+DUZx8/vn3FGq5ulUhrkxStLAltHFX0kNFncEtBimYaUZCIulrKxP+1oOsmZ6+Poi1LFiRRYGdHPTXhza8+HB0Klc7mmoqgq+kmvSMz6IZV7okIokBNPIhhmA5tMORhsG8ay7KJ14Vo2xJn3z0dpBI5DMPk/NkhSiWDru56vD4XkiyiqDKxmgChsBdNMypu2JGAt6rUZ5gWRc1AM1OIooRuZRGAmfwp6rwP4pYrb3J3A0kUCbndBF0u3LJMrc/H9dkZtsVq2FkT54Mx53jHfT7cskxAVfEqCnU+P5emJ2kOhjakf71u0M0aRaaLSbqDTRSCzVxLjRJfpLDciZDiQ7dMbuXn+fOBN/hC673Y2AQUN9PFJCVTY2+4jTemUozl59nir+NwbCt/PXySU3M9NHgidPjiGLbJ3nAH3xp9nwORDrqDjqX40gx6Jl8qF/yX0NIYpakuTMkqoggKrd5OPJKfnJHBI/nIGrcbMoosVVwUhrF+prsESRJ54MhW3ni3hw8vDmPbTmB4870e7j3UyZbWmg1lfAISqlSPIoXwKl2LF9rHo9f5cUMQBGRFwq942Hukg92H2pgYXeClv3qfn7x8iVe+dYYjD25n/7HO9Ta0qf0uiWFXbIKNTcPZwKlLQ/z+H7+y4f09dmQbv/OFB6ivcerereEwTcEghmWRLpY2ZJvU0RQjHqlWvHJJfnaFP816GsIb8bEDh7VwqW+84jFJEtndWX/3VCZJoqWuul6dyhaZTWTKjBGXS+GBRyvVAHfvW+mGVB0Ij55wRP8jUT/NrSuLFC3pZNwJ07SYL5wHQSdRuooseElrN6nxHF1hK3eHexrDFMw0BSvNgQYP9zT4sQULyzZpj4ZBMHGL7nJZyCuH6IxEeaCtfcOGA+sG3clCguHcDGnd8ZyfKiZ4qG73iq8NKh5sbC4mhtgZbOZ8YpAGTwS/7Ob8wiBJPc9b01cZyE4xnJumwx/HJ7vYFWrmtclLPFK3G1mUkGyR51uO8/5cDxcTQ1xIDPG5lmO0ep2AVio547TLEQl5CQU9BBQPe8KH1zx5ZbmS7qHpJpq+fq1uCV6PyvGDHVy4dqtcTxseX2B4bJ725pVdh++EKKhEPMfvePTvX8BdCaLo0Nie+vmjDPVO0XvlFqP9M2sGXUly6EqabmJZ9oa4n0sMiEqFLLuKvvdJQTdN+ubmmcvlCXvcRL2edW8cnU2xddgZa79/o4Kl+ZJewVgAJ1NrqLl7XWtRFPCtQJvSdINktrAmTe/jxFqHOO69n5I1RY3nGKoUYqF4sex08XFgoXSLBW0EyzbwSmFsIGvcFjy3sYi52nGLIRLaKO3+o7ilwKau3LXtemybicICsiDR5qvFtC3OLQyQKK28ZAsoHmzgWuoWz7cc56WxM0RVx6vrcnKYfeF2QqqXlJ5jspCkaOp4JJWw4kMWRILKbQ+xkOrliYYDHIlt5U/7X6c3PU6TJ4osSBimVWYeLMHtVio6v2udvKoiVVwYmm5QLG086ALs3t6EIkvloGuaFj39U9x7T+emqGB/n2EYJlO3Fqhvia44EqqVjMXlv7Ci1vJy+EMeVFUmmy4wMTJHc8f6y0FBcEo6mnV7FWLZjqHnTwMFXWcsleZWMoUgCHTX1qxbK60J+8Gy6bs6xoVTfZQKOtv2NrPnyBZ6Lo4iKxJ7j3ZiWzZnfnKDSG2Atm31XDkzyM3Lt5BkkcMPbqdtax0fneylmNeYmUhgmhaHH9xO584mAGaT2apBAt0w+e7bl3nnQv9dfV/TtOkbnal63DCtuzL+XA7Lskhli8wsZJlLOeXBfElHWxyo0hZXm7phousmQxPVo9/g8Ja9clM5MofUHRsqx2wUIbUBvxzDwkQW3Ji2RsCsQxJkZEFFECRU0YMiOvZKsrB5Fs+aQbdglpgoJNgXaeezTUfQLIPZYoprqaUxPyfrWMpEArIHy7IoGCXq3WGCipepYoKUnke3TJ5oPEDcFeJCYogz8zeZK6Zp8VV3WXNGkZSWp84TRhJELNtCFW9TeVYythM2UbN0qZXLl0JRJ7/JOfGGeJCA30V2WXd9aGwe3TRx8/GcBHaZIA6GblDIaxTyWlkKMjGfxbMo8bg0XPBxNrMKuRJ//AcvE4x42bqriaa2GgIhL4ZuMDY8x+m3rjPSN0201s/2fWtrznZubyAU9TM1tsBf/NvXePjpfURq/Oi6SSFboqO7nvrmSoqTJIq4FBltWV3XsixKm7xB3i08ikLc72NwYYGOSGRDzSmfR2VhJs3JVy6z+3AHqirzkx9cIFIbIJsqMHBjgq5dzciyyFsvnecf/ONPc/XsIIM3Jti+v5Vcpsgr3zzN53/tYS5+0E82VeChZ/YzOjDDm98/T0NrDK/fzUIyX5XxG6bF2+fuLuCuBcuyMQxrletulTKJbS/yiBN8eHWE60NTTM1nyBZKFEs6Jc3EME0MyxEdMhf/7/zbXtW80rYNFrRrqGKQgNq5qvDP8n9vZpjIJ1eegzY2QeoREKqE6qOu9Wv8K2HNoJszSuSNEvvCTudSFiV2hloYzE6zI9TMYHaaf3n1BSRBYmuggZ9vuBfyNnuCrURcfvaE2xjITpIoZen01+OTnA53izfGuQWJpJ6jhRpUUSas+lgySM4aRf5i8C3mtQxuSWFXqJV9kfby86oqo8hixcVY0gw0zcSlrh/wfN7KgYZMtkgqvblZbUWWCAU8TM7crhVPzaRWnIS5W9i2zb/+3W8y2DOJphnYlk0uW0QrGQz2TPLbz/0HZyRbFvGHPPzGP3+GnQc25x689v4drYSbV27x0bs3nWmqxeBuL14YDS1RvvRbj1YFzDuxfV8rTzx/iO/95fucP9XHlbODjgOFIBAIefiVf/pk1TYc2T9XBW3MMC2yBW1dpwoBaK2P8Pyj+1Z8/nLfBH23ZtcsVYiCwNaaGB3RSFlidD2oisTEyDzv/PAiY4OziKJANlNgYTZDe3c9A9fHGeqdIJcpUdMQpqY+zMkfXeG9H1+m59Iolmnj9qgkF7KYhsXuI1vYd7yLQNjLj184QzZVwOt3k8kX13V1/jiRM1IM5y6woE2gim7Caj2SoNLg3lrxO1i2TaGocX1omu+/c4ULPeNkCyVKuvGxSazatk5GG0QRQwgIKFIIUZCXPW/Tc2WMTLqAosocPLpOr2ENLF8x37l6vlvvmjWDbtwd4le6Hiv/LQliRT33SGxrxevPvHkN8YMCn/3y/YQUL0813bPidmvdIX6161Plv7eHmtkeuj1vXucO8893P7/q53KrCuodGVChoFMo6QQ20EEP+d0V3dFkpsBsIrPhWiM4B/zO+lciXVjzxIrFg+w75iwt1Q2JYQsEI14aWtYnucuKtGIJwOVRaNvfxHgpx5XkHObAMC5Z5lBr07pBxB9083v/1xe48MEAtwZnSMxnKRV1FEUmWhugrbueYHcUV9TLejrSsiLxua/cx5btDXz4kxvMTKawLAuvz01Lp2MZdCdUxZnZn5y7fWMzTItUrohhWiiytKpVtyAIbG+vY3t7taYDwL//xjsMjM1VeXgtx2Qmw42ZORoCfgbmEzzR3YVLXrsNIgggKyLb97byW//yZwlGfJQKGooqY5oW0XiQvitjDPVM8tjnDiFKAooq8cCTe3n2K/ejuhW0kl4+D5d80xyrH6E8HlvSzU9Ykv+O74WIKEB4keImIWPbFhYm0mIYMS2L0akE33nzEj/+4AbpNVT/XKqMW3XGsBVZKvdZpEVbqPHZFPkVZBgRRARk5gtnSZauISDSEfoibrlyxdzQHMW/mEhtxkpqrpBDFkVckoxbktEtC8OycMkS2JA3dMeOXZKYL+TxKAoeaXMyrf9NTqR5PcqiffrtH3UhlSedKRCPre+VFAl5K8R1dN1kcjpNLl/aUNAGpwdt3hFgdc2kqBucGhwhWShyqLWJusBt+s6B412o7UGuTU6TEnXC65wMoijw2//Tsxv6PKshFg/y1X/9Wf7wrfd4ZeEW/+nbVwi73bz6m19BXSeAZDWNcGOIn/nSnQ0/BzOZLL//8uuMJdN84ytfIORZmwcsCI7mxIHjXWu+bgkuVSYWqlaey+ZLpHNFokEvRatIzkgTUiKsZManiHdf6jFMi2ShgGYYBN2uDbEXBEGgsa2GeFOYH73wIdFah1p13xN7CIS8dO5q4s3vniObKdLSGUdRZXYeaOPUa1d59dtn8XhVfEEPB+/dus5+qh+TJZH79m/ZtMnmeogGPbTE6mkrlwIXBRzK/3YC2/hMkj998X3eOT9QoVsMTiO1NuwIldfXBKiN+IkEvPg8Kj63ituloCoSLsXRMf7Dv36bqwPVDg8CIlH3fkKuHVi2BtgoYuU1v1ROuPTREB6vSijsIxTZmILh+ZlJHAqnyKF4E6OZJLOFHNsitXhlmesLMwRUN3tr6rkwO0FnOEZ7YHONvJ9K0M2m8pw/2cP40CyxuhCHHt4BNlx6v49DD+8kEPYydWue4Z5Juve1ggAfvHqZ9EKOupYYBx7oJrwsmEbDPgJ+D3OJ2xJ28wvZCm2EtRAJe6uC6+DoLLML2Y0HXdsmucKIal7X+c7Fa/TNzvH7jz9cEXQB3h8c4Y/fO8O/evpR2iI/nW7w9rpafv/xh8lqGv/mjZMkchsrpXz/8g1q/X6e2Ll2APik4FEV4tHqm2g6W2Q+mcN0ZShaRcbyI4TVCAWzQESNktHTyIJEUAnT5GlBXMEnbiNoCgXxu1wIOAFtI+UFy7QYvbWAFHBz7uwQsiyRzRXp3NsCgsCt8QQDo/N4PCpjYwsEI150ALfC229cY2E+y2eeO8TOog5uBdeieaPiVpB8LnKL2aNLkasCr6rI/Mqzx6iLBlmbfngnbW1tx1hHz0C+4zWV2y5qBt964yJvnxuooPkJAjTUhHjwYCf7tzXR0RSjPhaoECa/E/mitoYtkk1GH2KheA5JcK7VOu9DqFIla0MQhLKZ6ubKMDZ+RWUwlWDYk+DM1Bi6aRJ0eRCA3sQ8qiSxt6Z+E9usxCcedE3D5J2XzpOYSdO1t4WJoVne+JszPPrcYc6f7KG+LUb3vjZuXhxhuGeSHQfb+dFfn6KuJUa8KcqVDwewbZv7ntpfXpLXRv2E79CdnV3IMjuf3VCJQFVkGuIhlEVvLICbQzOMjC/Q1hzdUMNkPpGrCvIej7phrt5PC4IgEHS72N1Yh26ahNzuDQXdkmHw6o0+Tmz5+GrEm4XPo9Icr6ZALaRzTM2nEWIGBSOPKAjkjRwFM49ulZgtzSCLMg12M42e9U0lV4Nt20yk00ykMszkcvzC/j0VAv0rwbJs+nsmsQSRrv2tmKaFz+fi+pUxGpoi1DdF+MVff5RspsCrL19i+64m+m5OMTmd5rmv3k8mXeTa5VuOa0XMTypTdJqNJR1doOxl5/e6Vq4p2k75zDIt5qeSiJJIJB6klC8xfG0Ml9dFtC5EIOrH0AxsIDOfwxNw4wt50TWD5HQKj9+NP+JjbiKB1+9GXkfr4vrgFG98eLOKV93RGOPXn7+P/dsaCfr+9lOLlm1Q0CdwSTX4lXYAJLE6UZJkEUkSCEc2nuUuod4XIKU9PhoGAAAgAElEQVSVkAURj6xQMg0Cisq1+RkSxTw1Hh+pUpHhdIKMVqLe68cjb3xF9YkH3dRCluGeSY59ejcH7u9m4No4b377DOlknv33bePiuzepbYgwNjBDxw5HKeiDV68QjPlxuRUyyTxuj4pWNG4H3ViAmqivYpFTLOn0Dk5z76FOQmt4iIETiHZ01fPqO9fLQTebK/Hjt6+xo6ueupq1tTUty+K9j/op3kGjCQU8G64J3wkbKOkGBV3HsCxEQUCVJLyqclsOcGn/tk1JNygahuOIAEiCM6nlUe7eBmj5dq9NTjOdyZLTNGYyt1cUHlXGr1Z6ZAk4I7PpYhHNcGqNiiTiU9VykLJtm0yphG5ahDzV1tymZZEtaZiWRcDtQpGcWl9TbZhwwFOWHQRnDn94MsGRvXuwscr2RM7Qt4VhGYwXRmn3da3oEbdRSKJIazhEjc/H2wNDmLa9IV6KrEi0d9aSyxQBgabWKJfOD1MsaAzcnGJqMolpWPT1TDrdetNiy9Z6Dh/vIpMqcO7MIIWCxr572jnzfj8797TQ1zNJc2uMWK2T+ccj/qpzzbJtZpM5trVBIVdkfiLBxZ9c5dEv3U/v2X4SUymiDWEmB6Zp7KpjaniWvffvYPj6LYJRP607m7n2/k1KeY3uw1sYPT3B9MgspbzGw184gdu3cuC1bZsff3CD1B1Ton6vyq8/fx/37uvYlBi6bphY1soN6YXiBXLGKLqZXjSklHDLdUh3jE1rJZ352QxtW+Ib3i/AvY1tKKJE3OtHFSWaA2F00ySguqj3BbjfdJ73KSqf69rlaDVLmwujn3jQdRoAYOimM4dtWGA7S5ajj+3m//4fX6Dv8ijphSw77jnmKH6FPPzq7z9LQ1sNhm4gSiLqshqsx62wtaOOD84NVdR1L/eMM5fIEgysf0fdu6OJgN9VoVT2/rkB2ptjfP6Ze4iFq2f0weGu9g5O88pb16p4kh0tMeS7sIW3bZupTJbvXrrO6z39JPJ5FEliR32cLxzcw5G25ooMayKV4ZvnLnF6+BZz2TyWbeN3qdzf2c4vHNpHWzR8V33VbEnjh9d6eb2nn8G5BWayWV44d4VXrvWWX/O5fbv4tXsPVzaUBPhgcJQfXO1hYG6Bgq7THA7xxUN7eXzH1vJr/8PJ0/zk5hD/x88+wf6mSo2J8VSa//XVt8mXNH7/iYfprqtFEASa4iHaG6JczNyevirpJjeGpkkku6lfVnYybZtsqYQqe9ni24FtO48Jto1p2xiLClGeDYwRA+imRe/sHCOJFK3hEMoGqUeCIOBSZQqigLyoeWHqFpcvjDA5nuDLv/YQC/M5Bvt/UH6PP+hGVWVESUSSRCzTZsfuZt4/2Uv/zUn6bkzy/JeOl+uVddEAAa+rgj9rmhY3R2e4d18Hc+MJBi+PMDE4g1bQKOZKxNtqkGWJ5u5GTv/wPKGaAC6vimXapBdylPIauWSe1h2NeP0e5icWmJ9IEI6H1mwQZ/Ilrg1OVfU4ju1u59COlk0FXHB0lLVVJkRFQcantIG86LnEyn6AqkvBH3BT2iS/2Kc4vNsl0RpFFEFxjq1QdBIG27YREQirDkV2s9faxx50ZycSvPfKJYIRH+HaALsOb2HbvjZ6LoyQSeaZm0hS1xIl3hzF43XRtbeFt79/ju0HO4jVO0vJ/fd18/b3z9G2rQGtpLNtfxstXXXlGpYgCOzZ3kg45KkIusNj8wxtcCqsvjbIti11TE6nytmybcOLP7pAsaTz0PFtNDdECAXcyJKEphvMLWTpGZjmu69eZHS8mry9vaseZZOiMgAz2Rz/8eRpzo6McbS9hYZggFSxyOmhW/zBq+/wPz/1KIdam8qvn0iluTo5w9baGA92dSCLIv3/f3vvHSXXeZ55/m6uHDtUdc6NjsiRAAmCJJhFkZQYJNEj2Vofe+2dtcden6OdsT07nnO8M+OZ4w0aW7IljyVZlEeBFCmRIsUAMAAkQOTc3eicU3VXrrp1790/qgMa3QC6QVL27vaDc3C6u+6tqpve7/ve93med2KKF85cIJ7J8rWDd+HSboO0LYrUFPh5pLWRy6MTvHT+MtsqSjnQULOwTW1BYNksdSaZ5ptHjtEcKuKJTc3E0hne6erlL98+QsjjZkdlGYIgcHd9Da9d6uTNy1dpD4cWZmqmZTEwPcvZoVEea2si7FkMpCWFXurKCznbNbzkwb/QPcLVwUmKA25EUWA2nWYgOkvfzCx+u40qn5+B2RkswCbnZ+dJXccmyzQEV+fAJUsi7eEQ7eEQI9HYba0ghGt+sDs0dN3gxLFupibiS1JRAssZGIoisefORl7/+WnsDm2JbFZVJOorCpd4SxiGyaWeMXKGgWpTKCoPIskSnqCLktoQw1dHKasP4y/yUlgapLK5lFw2h6xIpBJpRFGgoqmUoc4RbE4bTbsa0BwanoAb+w1muQBjU7EVxRObGkoX/BrWgolInMQNePMB2yay5iSy4ESR3CT0AUBYxlDI6QaiJDI1ESMWTeFZoSC7Gsy/p64bXL48QlV1AVOTcZzO/LWcnU3S0lqGugZLzo8ddM05I+WcYTKWy+KsCHD8Yh8t1eG84TWw5/52LhzvZmxgitKaQlp31mGfyxHd8UA7Hr+DjbsbFg7w/md3c/q9K0QmYqiagqJIy4oGtRWFhAq9DI3OLHAtdd3gvWNd7NpcfUu/VUEQOLCnkfePdy1p95PK6Pz0l2c4eb6f2spCAj4nmiKTymQZHp+lo3ucyenlirygz8mGmmKUue4Rk/EkPzx1nve7+5dsd3pwmKyxOEM2LYtDnd0c7uzhK7u28uzWduyqgm4YHO7s4c9eO8Q/njzL5rLwQq55Y2mIr913JxV+H/a5gsREPMHkC0kuj03QNx2hJbwyVepmcKgKOyvLoRLetnfzRsdVmkKFPLGx5ab7zaTSPNy6gd+9cxcem4ZhmtQVBvlPb7zL4c4edlTm6YDtpSFKPR5ODY4wEo1R6st7HGRyOU4ODiOJAq0lxbhti9fOZVdpqQlx6EQnkzOLaY6xqRhHzvTQVhfG67ITSac4PTJCKpdjIhmnzOOhZ2aGpK6jSRKlHg8eTSOaWX3z0olEgq7J/OB6cWyCr2zfckvbPlESaWorw+22UZzOG5473Ta2766jqqYQXc8RnU1RXVdEYZEbSRJp31SBNEf3sztU7rqneSEPWdcQ4jt/M8sXvrJ3STpBkSU2N5bx/pmehb/NN5jsG4lQW11EqLJwzuhIoGlnHU076hZ41ns+s0jn3Hpf+8LP7oCLqpb89RIEgYKwf+E9boREKrMiP71obkBcK3qGp27Y4yxjRJhMHUGTC3HIpYwk3qTU9WBepXYNHC6NhuaSfJeMue8mcCOutXVLDrFpWsSiKSKRJL09E9jsat5FDYumubToavHxZ7oWTMdS9I5MIdolKvbUYJ8p4rF7NuO5xvh4+4HmFXcvrSmi9Lq8i8fv5M5Ht9z0Yx12le0bKzl3eWjJMv+js31MTMVW5QLfvqGU5voSzlwaXPL3XM6kZ2CKnoGVpYgrYfvGSspLFn09Z9MZ3r3au6zwksxml9BpZlNpTg+OIEkidzdUY5uj+yiSxB21lfjsNjrGp5iMJyn25JkQmizTWLyU1+qz22gKFfJOVy+zqdVZzH1SUGWJx9ub8MwFS0kU2VVVjigIDM8ucmztisLdjTV899hpTgwMLQTdZFbncFcPtQVBNsylFeYhCAKbG0upLgkuCboW8NZHndyxqYZdbZUUOpzcUVGJYeW7/iayWUrdbmr8cxxnAVyKSsZYvZrNqaiUeRdN31dTJBVFgYYN4WWc6eK5Vdxd9ywfwJrbFot9drvKnjsb88doQVfHKAVFbhque7BlWaK9vmRZvntyJs7hk11UhQNL5OjznUduhWV851UETUkSVwzK+a4Qa8NMLMX5q6PLXATnYVk6aWOcjBkha0SwyUUo4nJXNU1TaGxZ3l16pT6Mpmnl6zPuG9eCZEmkYUMYp1PD5dKQZQkjZ6Ao8io599e815q2XgGCAM1VxVSHA8iSiDFXGFjJ8zRP3TAA85qPnh9hxGt+F1a1lLt7TyMvvnaa0YkoiiITKnBz957GG+Zjr4ff6+CpR7bQNzS9jP61FlSXB7lvXxM+r4NoOj+TKvd5+K29O2kvXTrj/OGp8/zgxLmF36cSSUajcaYTSf7nH/982UxqcGaWsMfNTCq1EHQzuRwd45Mc6uyhb3qG2XSatJ6jf3oGu6rclPD/acBntxHyLKV2ubR8AM4ai7k5AdhfX8PffXCS432D3F1fg9um0TUxRe/UDE9vaaMysJxGVxx0c/e2eq70jRO9Jgc/HU3yrZ9+QGmRl4qQnyrf4r6pXI5Knx/7Mi7y6rsMuLU8G2UsFqe+oOCmTSmvx1IJt4EkiRimiSznV22Ll2huWZxvgbewX2Q6zi9ePs3VjlE+8+R2HNdNIkRBoLzYx572al59/+JiH760zpvHOmmqDrGjpeK2fHXXCpd9ZVP5yZkEhmmx2q9gGCYnLw/w0aWBZfnheWhSkLDzfgREVMmLKChIqzR9h3lhlbREWJXVDQbGZxbc5Vb8XJtC2Zxi0u9fjC+3owr8BIKugG1OXZLnxM3/ffm2hjmEYYxjmjMoci1gYVopsHKIog/IN52TpWJW83AU+l3ct6+ZMxcH2L+7gTu21VEQcK66dY4oCmxtr+TZz2zj+z89zuwa2zYLAhQXePjcQ1vY3Fq+5AZXZYkSr5vagqX2dUGHY8mMKWsYZHI5PDYbTcWFy4o8reFigk7HwpI7Z5j8+PQFvnnkOIVOJy3hIhqLC3CoCm939DA4s3LfuE8TdkVZNgu80TNQ7HZyV10VZ4dHuTQ2wfaKUt64cpWAw87OqvIVC5GSKHJwVyPvne7m6LneJTf6pZ5R/uI7b/E7T++jpiS4YHrkWGWx7GZI6TofDAzkU2exOM9ubr9lemEemYzOxOgsoihy/nQ/1XVFDA1M07KxYqH4otlUZmcSiKI45xEgoGcNREmgvKqAzz27C9O00GzKiufT73FwcFcjZzuHGRxfbODZNTjJd352HEWWaK8Lo8jSmvLR1hyLZTaWRlNlvLcwqC+aa057PU5eHuDgzsZbPo/zzSnPdA7x/ddOMjJ543tYEGRUyYcoqCji6iZXi/vmY1VZkY/ua2oyiXSWD8/3srG+ZM3CktvJ838ihbSly8Ebb5dOv4VlZREEFcMYAQxkuQbTjGDq04iCF7CQbHeTSlhcOt5NbE4AUb+pknDV0gZ/oijQVuSjWDfxZkwSo7MU+p2rPhF542aNR+7J+wP/9JdnGBmPrmr0EgSBmooCnn5kK/fsvXl7oJvBJsvYFYWAw87v7b+DsPfmirqBmVn+4fhp/HY7f/6Zg9QV5oN61jDompj+Jwm6q4UgCDhVlf31NRzq7OHc8Ci1BQE+7B2gIuBjU2nohstRj9PGcw9vo2d4aoks2DAtjl8a4N//7es8dlcrmxvLKC3yYteUZfeBZVmkszkisSSz8fQtZbSmlW/XIwrCmn0DJseivP/2ZeqbwgQKXMiKhM/vZGJ0lv6eCYrCPkIlXs581EsykUEQwBdwESr1ocj5zr236kMnCgIb60t4eF8z//DqiYWismVZnLg8QPT7aZ48sJEdLRWEgp6bsggsyyKRypu+j0/H6ByY5NiFPvZvqePxu9tu+kw57Sobqorp7J9cwtM9eraX4xf72be55qasnnQmy6krQ3z75Q8427lchXYtTCvHTOYCsuAgaL95CvJG37WlJrQk6GayOQ6fvEpbbQk72ypvKtz4JLDqSDExNM3RV88Qn00iCAJ2p0aoqoDmHXkzjlW1aBY8SHIJoujFwsSyEkhSKaYxjiWVIgpuLCsJKOhpnd6Lg1w+2cv5o5188Y8eobj8jqWOQZZFfCLKlQ+6uPRRNzsPtvGFP3wEZQ2VRACvx85n799ISbGX19+5xOlLg8TiK+dFJVGgMOhmS2s5B/ZsYPvGyo9l5Rh0Ogh73ZwZGmU0FiPkuXm764HILOlcjvbS8ELAhbz3a/fk9A33WyvmCyDXyzk/LiRRpL4wSGNRAacHR3BpKvFMlkdaS/HYb64GbKsN89S9m/jWSx8uYa1YlkXnwAT/9Ufv0VhZRFNViLJiLz63A0USF6wJ46kMY1MxRiajXOwZvWUgdWkq5V4vfZEZNhQVrEoGPA+f38nOvQ34gk70rJGX9zptZNI6VXVF2B0qqqpQXVeEy20DQUBRJJwuG4n46ot9TrvGA7ubGByb5Y0Pr5C5xhe6s3+C/+sH77CtuZzmmhAlhV68zrzviEB+WZ3O6kQTGSKxJKOTMXqGp+gbjTA1E8cwLXa1Vq3qe9y1pZY3PrxC/BrWQTyZ4W9eOMpMLMWmxlJKCrxzkxMLPWcyNZugb2SaMx1DvHm8g96RyNwxqfjddkanYsvuPwERAYHx5DukcsOAQLFjH4q0uoarDpvKlg1lvPVR5xKGxMDoDH/z4lH6RiO01YUJBT3Y1LwkWc8ZpLM5Eqks8WSGZCZLbWkBFSH/qj7zeqwh6EZ46W/fpqgsSKDYQ3Q6wcxkjE37Gnn2Dx6+KaVkHpq2G1EsuiaozN300nJJnScAj/z6fpp2DDA5FFnx/URJZP8T22nYUs33/sPLK26zWjgdGnftbqCuqoiO7jG6+ycZHpshmkhjWfnCnd/roKLET3lJgPqqPLPh4yps3DaNHZXlvHu1j+c/OkuJx7OQu7WAwcgsmVxuIcC65vKMkWSKjJ5DU2R0w+DNK1e5MjaJz/HJtMwJOvOyx6uT0ySzWRzqJ9f9N+xxs72yjJfPXyaWySIIcFdd9S33U2SJh+5oJhJL8cLbZ5c1rUymdU5dGeL0laG8pt+R90swTJOMbpDO6GvyhZ0XqiDAlYlJKvy+VSsOXR47Tnf+WszfI+5rRDvzq6nCkHeJaY9lmfgCa1s2lxR4+bWHt5NMZXjn1NUl+dBEOsvhk1c5crYXn9uO066iza3Kcrm8j20ilSWWzKy6e8pKaKsrYUdLJW991Ll4jMDVoUm+8ZMjVJUEKPK7cNk1TMsikc4yG08zOhVleGJ2IceqqTIP7G6iMuznb1/8YEkOH0AQRFxKNaalIwpqnqW7Bpm3Iku01ZWwubGM9053L/zdtCw6+icYnpilpNBLwOtEnTNUyhkm2Vz+/pk34fnyIzs+/aALeaXNfc/uZuPeRtLJLL98/giHXzjO3s9spWFTXi5qWRamYWLk8vogURCQZAlBFJCk4vzrpoVpGJhG3h4w/5q4YPUHIIig2VWcbjvSDbh+giCgaApOjw1VW34o876z89/9eh6fZZrI6qKCSxQEykv8lIZ87NpSTSqt529EKy8rVBUZh11Zc47sZhAFgbvrqxmIzPDfT53j93/yc2oKAggITCWTTCeSHGyqXwi6jUUF1BcWcHpohK+9/Dphj5uRaIzuyWm2lIfpnlo6QCWzWd69mjfgiWcyDM1GiWez/LcPT+G2aThVhZ1V5cs8ImoLgjQUFXC8b5A/eOFVwh43WcNgd3UFBzfU3VIOezPYFJlNZWFeu9TJqYFhdlSWURX0LzhoXTskXxuQBMDntvPs/VtwOzR+9OYZxiOxZfaMFhBPZZfMulYD8boKf9YwuDo9zcDMLFj51cRaZrvX+j/nrAwZI0rOSqMIDkRRRkbFsHQswcor6iydmcwgXq0U3UyhiR7s8q39OQQBqsJ+fuepfbhdNl59/9KyAKrnDCYicSZWnr+s/L6s3qPaZdf40kPbGJ6McqVvbOGaWFa+4Dk9V6iWRAELVlxlOO0q9+/awHMPbUORJb7/ixPLgi4I2OViNDm4UI0U12gkXlLo4ckDG/NplP6JJWmmeCpLR/8EMHGj3XHa1CUrirVirVljXF4Hgbk+Sq276njv5ZNMjURgU2Ve6jmd4NBPjnPsjXMkZlMEwz7uenw72+9pQXPkT07f5WHe+MFR+i4PE48mcXkc7HpwI/uf2I7rNknMK0HP5Pj+f/45Y/1T/PafP417Lt9rGCbf+48vM9o3yR9+/cvI1+VjRVHAYVfJSgYSIl7VvuoZjigIFLtdRNIpInqK7mjeIKPEkW9a53PYqA76canXcFFtGr++eyvN4SJeudBB58QUWBZeu507aiq5q7ZqYVuHqvCv79/PD06c5dTgCMOzMcp8Hv7Vgb24NIW/fu/YkiJSLJPlByfOEk1nsCwLRZIodDl59WLeH1cUBEq9HopcTtJGjpieJqA5sCkKX7vvLr57/DTnhkcZjyXwOWxIwqICSBJFQp68ZFq6jlokCgKVAR8hz3I6jyAINIWKqC8M0jE+yT2NtURTGeKZDCk9h9um4VJVRqIx+qdn0GSZEq+b+uICREEg4HHwzMEtNFeH+IfXTnCxe5RoIr3mvKsoCNg0BbdDo6TQw/aWyiVUQ7emUeXzUeX35wUHtz3QWIylzmNYWWTBRtqcxSUXYVhZZrODFNoamcn2o5tpdDNF2pxBEz1IqgKszhRJmGMz/E9P7WNjXQk/PXye3pFp4qnMms6LIOQr/C67SmU4wIbq4tWlDkWBpqpi/pcv3c3f//w4p64MEk9llg2IK7ESZEkkXODhyQPtPLKvFbdDwwJqywoYnYot2dayTKYyJ+mN/uOc4Y1Fo/93sSvhVfvbypLEzpYKVOUu/ttLH3KxZ2xZ1+mbQlj477ZwW9Uf0zRJzKbovTyMKIoUleVnYelEhhe/+RZn3r/CvU/toqDEz6nDl3j+v/wcWRbZcbANSZZIJzI43DbufXoXbr+T0+9e4WffPoyv0M3eR9aeHL8RVJtC3cYKjrxympHeCdxzVI/x/inOHulg/+Pbb+gqb1gWP+g+jSwIfLFuKw55daOp127j9w/cwRtDHbzYf4bMsEGZy8ufbD6IKEh8fnMbn9+8tLHnvDT17voa7q6vWfmN57cVBEp9Hv7gnr0rvv7NZx9f8nux28XffenJ/DFd49OwUpHp7PQwP+49y++33kXY4aEi4ONf37//ht8l6HTw7x6+d8XXnKrK97/89A33zRkGumlS4HKwpbyEs4P5AopdVeiZmEaRJMoC3gWfBrfNtvBQzctst7dU0FIb4p1TV3n3VDeD4zNEokniyQzpbC4v3RTyqyhJFLGp+ZWKQ1NxO20U+V00VhaxeUMZ9eUFy4qh5pzKaTKRxCZLXP+gbdlQTqF/cVCZSCboy87y1kAPZR4PGwKFc4O1gEspJq6P52euhoVXLWcyfQWHHMS0clhzvhF+rQKXHGIll7BoJkP37DRlLg8FjpVbyXtddh69s5U9G6v54FwvR8/1MjA6w3QsSSKVJZPVF/KksiQiSxI2TcZp0/A4bRQH3TRUFLKtqZzGqqI1FZUkSaStvoSvffleDp/s4p1T3QyNzxCJpUhn9QURkiyJ2DUFl0Mj4HFQX17Io3e20Fq7KA0XgIO7Gpd4Jucd53LkzCRFjn1oUpB4tmfRaXINcVCWJbY3V1AVDvDq+xc5er6XyUiC2USaVEYnl1vs5afIEpoq47RreJwaxQEP4ZvQy2752WvZ2NAN3v/ZKXouDDI1NkvfpWH2PrqZ0tq8uKHvygin373MwS/s4d6ndyErMmV1xQxdHeejty7SvrcRp8dO0/YamrYvBpfCsgAXj3Ux1j+1JsPh1aBlZx1FpQE+fP0cDZurALh4/CrZlE77HY03JH+LAmwMlCALIrK4thnOdCbBu2PdtPhDfL56Y97dfo3v8Wng8uw4OdOk2V+MskIeLOTwcFeoFpeyei7r7cCyLK6MTdIxPsm+2ioKXU5USSKV1bEpMm5NI6XrhDwu/A47kiDg0NQVl7qmCEZA5N/8xkH6RyMMjM0wHokRS2TI6jlEUVwwyvY4NTS7wlAqRszKcrC5nubiIiRRZDad5tjwEN3T09xdU0OZx0Naz9ExOYUkCJyNzFBXUIB0zXX8l8/cufBzLJvh2+dO0BWZZmwgxcbCEI3+Apgb4LxqGV41T9b3U40AlDm3MR8pHHKQRG4Sn1qJKjpXDCADsVn++vQxnmlqZ7/j5jnwoNfJw3tbuLN9iP6xYoany5mcSRBPZhaWxpoio6kyHqeNoM9BKOihvNiPbRWFaMtMoGc/QhQDyOrSSUTQ5+SJAxu5c0sdXQMT9I9FiCUypLM6lsUcDc1Okd9FVdhPSaFvRbnwg3uaeXDPUlGVZRm41Gp0Y4a0MYVpZRE/Bgmr0O/iSw9t4/49TfQMTTE8EWU2kSKdyQ9OsixhV/MDRIHPSSjoJlzgxb2KGtaNsKZva1kWI32TTI/PcvVMP3se2czDX7kLbY7aMjE4zeTIDB/84ixdZ/LyVz2TY+jqGEbOIDenHEvF03Sc7uPq2X4iEzEiE1HGByPo6dwn3oXcV+Bm475Gjv3yHMlYGkEQuHKyl6qmUgIh7w0DvCiI7Cmuuq3PjOeypHI6Ne4gIcftj4ifJCzL4t3RbhRRpMFbuGwQEASBSpefStftFQfWgulkirc7u4lnsuyfE0j4bsBcuNUAHMtk+P6Zszzc2EhjZRGNlTd3lUrqOpcnJvjWRye4ODFBY1EhEiy4ur3e2UW1P0CZx8NEIsFEPIFTVVDl5VL0azEQm+XU2AhfatnE1uKSfC3jmlXUrZa+LqUYl7I26bZlpdHTh8lmDi17TVG3oNoeBOMVasLNtNSvvCK5XVhWnGz650hy47KgO48Cn5MCn5NdbVWf2OcKgohTrgC5jKw5i1drQpUCH2uiJooixQE3xSt4N38aWHMh7eAXdlPXVsELf/0mY/2TZK7JhejZfNB0+514govLrjsf30a4sgDNrpKIpnj9++9z5JUz1LaWUd4Qxl/k4erZ/k+l/YggCOx5aBOHfnyc8x90Eij20d8xwn3P7F6oLl+Pq9FJ/sOZt8gYOR4qb+LRypaF9MKbQ51MpOOkDZ2PJgbwqDYeKm9mV1G+SRN4J10AABfPSURBVN3XL77PsYl+uqKTdEYn+GHPGfaHa/lyw45876bZcV7qO093bJoad5DPVrXS4MlLX0eTUb7dcYwHyjbwUv8FRpJR9odrebCsiSNjPfTGIwzEI2wKlqKbBmcjozxZ1caOwgom0gle6D3LucgolmWxMVjCE1XtBDUHndFJvnXlQ45P5AfCQyNXCdndfLFuK5uCec36n554lb5YhNZAmOfqt1Fsz9+AlmUxnIzy077znJsexqvaeayqlV2F+b55P+w+jSrKDCQinI+MErJ7eLyqjdZACElYmrp54cxFOiem6Jma5szQKAfqa9hSVrKm4tSNsFplkENR2FJSwuFgz5LUklvT2FFWRpnXuxBcC5wO9lSWo5smvdORFfP6CwqydApBgDKXB59mW3Gba3GzJqvzr1v5DW5yNBKCVIKsbsYyI6QTf4/m+ByiVIYoVYLwiftZ/TOAMHd9JDRpeRur0dFZDh+6RFfXGM/92l4q5kyCBgamePONC0xNx/nKV+4kEFhea1gNrr1etxvo11xI8/hdVDSE2f/Edr79Zy9w5GenefQ39qPaFNx+BzaHyrYDzey4rw3hWiGDJKCoMr0Xh3j7x8fZfm8rn/3NA9gcKgNdY7z9ow9v6wBWg3BVIQ2bK3n3pydp2laDqinUtJYj3oBfW+708cebD/LNy0fpiU9jWItcwZFUlL/rOMbB0kaeqd3Mickhvtv1ET7VRos/xFM1m2gPlPC9rhPsC9VwZ6gaj5qnCl2aGeMbl45S7QnyXN1WTk4O8X9feI/fatpDiz9EytD5ef9FDNPkjuJqbJKMU1YxLJNTU0NMZZK0+cP8oPsUd4ZqCdvdvDZ4mUZfEZIg4JQ1nq3ZTMbI8fzVk2iizDO1myl3+vitpj2kDR2/auepmk24FI2gbTEv+D827+X90R5e6r9A2likVU2k4/zN5aMYlsUztVsYT8X4xqWj5EyTfaEaeuMR3hjq4PPVG3mufhtvDnXy953H+Vdtd1HmXFoEGo3G+LB3AFGAZ7a288TGZoKuj184jabTfP3DD7k8PkHQ4eCr27ZR4HRwuKeHQz29JHWdpsJCvrCxHa9t9ZS6SDLFB/0DdE1Nc09dzUJj1Gsxkojzlx+9z4WpcQZjUf7w0KsU2J08vaGNB2saSOdyvNrdwas9HcSzWRoCBTzR0ExzsAhREOiKTPGPl89xeXoCRZS4p7KWJxtacCgKWSPHK1c7ePnqZQQEKjxeUrlrKW8ystKMrDRhGoNkUi+jancjKW3M2bsA+Q66pjGOZekIgoIg+gCFvPY4hWXFsSwdBBlR8CCI+WtimhFAAiszJ2pSEEQvsJLE38Ayp0FQEQTPJ5oiXAsKClw88GA7//kvXiV1DXslFPLx0MOb+D/+8rWP1U06lczS2TVGQYGb0tJfAWVsHoIo0LKrjm33tPD680fYvL+JmpYyqpvLaNhcyTs/PUFxRQEFYR+5nEFsOkGwxIe/wANCPuGOZZFJ6yRjac6938lo36JCZJ5Wpmd00skMRs4gm9JJJTLYHPkkuCAKmKaJnsmRimfQdWPu5zSaXUVR5QWCvyAK7PvsNr7+R88zORKhdVc94cqCG94YqiRT4vDgVjTMFebfxTY3T9VspNodJGhz0hWdYDQVozUQJuzwENMzuBSVYruLGk/eRtC0LE5MDiKJIp+v3kip00uNO8h/Ovs2xyb62eDLL4udisqd4VruCi92MJ3JpPIVf18xT1S38ergJQ6WNTKajPHWcAcJPUux3c3eUDWT6QSiIODXHPTGptFNA5eiUe704VY0/JqdandwmdN9kc1FoW3p6G9ZFgOJGbqik/zRxntoD4RJGzkGEjO80n+J3UVVAFS5AjxTuxmXkm9t83cdx4lm03Bdree39+3kt/ftvPUNtkZYwM6yMr66bRv//u1DnBkdpdrv44fnz/O51lacisq3T56gqaiQ/dW35gPPI6XriIJIyOXKe0mscLuEnC7+bO+9HBnu5+/Pn+IPtu+l3h9c8N79ZW8XP+q4wG+0b6XC7eWFzot84/Rx/nD7Xnw2G3995hhuVeOPd99NMqfzlx8dQQC+1LKJY8ODPH/5LF9oaqe5oIgfd1yge2aR85W/f+fTRHI+hSFICEtmuBaGfpZE9CKmMYmAgM35HIrtPrByZNNvkE2/gmVFAQlF3Y3N+WUE0Uky+heAiWWlMI1RBAQ0x+dQ7Q8vPf+WQS57nFTiW2i2B1Dtj3Gj0GJZFolEhoGBKXTdwOOxU1LixzBMBgenKSsLIMsSfb0TFIe8uFw2otEUIyMzpNM6mipTV5+3BZ2YiDI5mXf8C4d9BIMuZFnC63Uss1hVFAmv175MyJTJ6PT3T5FKZXE4NEpK/GiaTFfXGHa7ykwkgd2hLvgunD7Tz5EjnTRtKGF6Ok59fTHaCurHm+G21x+KKnPXZ7dx6vBlXvvee3z1f/scwbCPB5/bx0//9m2e/y+v4PE7MQ2TRCzNY//D3fj2ugmGfGw90MLZ968wOTIz5+WZofYapyXTtOg42cuJty8wOTzDxFCE42+cZ3YqRmlNMdvva8Vf6GG0b4r3Xj7J5HCE3ktDqJrCi994k8LSAHc8spni8kXFVnVzKb4CNzMTURo2V97QBX81CDnc2KR80JKEvEImZ91cuaWbBrPZNC5ZWwh4NlnBo9qIZdN5Ej5gl5SFpf2S8y2IqKKELOR7dTlkZaEybloWH03087OBi9gkBUkQ6Y1PU+dZnW/sjWBhMZNNIwkiPtU2d7wCRTYXXdFJsmZ+xlDm9C4svRUxX23+VZrueDSNTeFwng7ndJDK6UwkkgzORjk/No4gQHtxCN8aZrkAjUWFVAX89ExHGIsn8kvL6x4uURDQZBlFlBbywrY5k52caXJ0uJ8txWF2l5RjlxUermnkzz88TF90BsPy0D0zzZ/sOcCGYN417t7KWt4e6OapDW2cmxwj7HSzr6yKoN3BgfIazoyPru3kWAamMYzD+8eIYoh08rtkUi8ja3sQBBeSsgGbXIEolWDoF0jFv46i7UFWN+ePIXsKh/ffIElVZFI/JJN+Nb8vIvmZtEUue5x08nk024Oo9sduKlYwTYvDhy8zMR7NiyTiGQ4caKawyMPrr5+ntbUUl8vGu+9c4fEntmGaFm+/fYmhwWk0m4JNU6iqLmR8LMqRo51k0nlWhKbJPPnkdpxreK4ty+L4sW6udo9jGBapVJZNmypoayvjr/7rG+zYWUsymWV8LMqDD22kvDzAlSsj9PVOIooCU9NxysoCaJ+Wy1hxRZDP/c5ByhsW1WPlDSGe+b0HSM5JZgVBoHlnLb4iNx2n+ohOJ1A1mUDIS3VLGYIo4PY7eeC5vVQ1lTA9NovDbad+YwWxmSSyIi3QP0RZxOG2U9Fop6IxTyWxMMhIo0ymDVS9AUvIIdsNvKUWe5+uxsLCLtmwOa5rJyMIqJpCWW0xyXia2tbb75sFIAsrLTRvDkkQccgKSSO7YC+YMXIkczpVbtvCzEgQhJXdrK4j7l9fmPlhzxkKbE5+q2kPbsXGX5x7m7ieuWZ75gj4a/nWAg5JwbDMhfcyLYtINoVHsaGK+dtHFsVl32c220E0m0QRPWhSgKwRQRLtyIId3UxgWhlk0QGIGFZ6zsDEQVwfRBRkbFIBhpVBFmyYVg5RkG/4MAuCcI1YI3+kHptGld/P51pbqPb7iaRSuG5DVafJMhuKCtlQtLxF/K2QMXLEsllqfcGFa+pSVSRBJJXTiWXzPFbvNTnggN1BQtfRTYOEruNU1IWCnF1RcClrPAZBQla3oajbAZCVTWT0i2DlQBARBA1DP4OeOYxlRrCsNKa5KCeX1Y0o6i4EQUZWNpLLngArC4INkDD0c+iZd1BtD6LaH7mlOiwaTfHqK2dobi7Fblfp65vkwsUhHq0tYv9dG3j9l+fJpHX272+itNTP1avjdHaO8vjj26itLSKTySHLIufOD3Diox42bCghlzO4fHmYPXvqqatbfTEyndb5xWvn8PscBIMuxkZnOXdukJqaQrJZg50766isDPK97x1hoH+KlpZSDhxoJpXKcuBAMxs2rM1Hd+GcrnbDYMjHvU/vWvg9m9aJzyaobikjUOQhncwyNTKDv9hDUVkQQRAoLg9iGCbJaIqcnsPQDcYGphjqHmfjHH1sbGAKl89JWX2IyNgssUgCl9dBuKqQgpAPu0vDMedzaVkmUb2XsdQJxlNxvKEatj6jELDdSdaIYpLDLZdik5cm2C3LIj6bZKhnnL2PbsFfdGtGgTX/z7L4JCp8kijS7A/x/lgvbw13ckdxNUfHe4lkk7T4Q4jCxysmZc18bzLTsjg63supySGq3Ys5J1EQ8Ko2rsYmGUrM4lVtuJTFWbcFc6kU6xqnOIFSpxe/5uDVwctoksxoMsaJiUGerGm/aQEsZyaZTJ2k2LEHsJjNdqJJARxyiP7YzxAECZdSgW7GkQQNw8oSdu4nnRtDEu0oopvp9FnschGGlcaj1iGxOtqdAFT6fOwqL+evPjwG5Atov7trJ4mszgsXL/Jubx9OdYSRWJRn29sZj8f5RWcXp0ZGmE2n6Zqa4rGmJvz2m/fbuxlUScKjaUykEuRMC1WC2UwawzLxajbcc/aXU6kktb78PTuejOPTbNgkGbeqMhCdIWfm1WUpXSehr01lBwKidM2AIShYVv79TKOXVPybCIITWd0Elk5OP0veejUPUSxkcbSXsSyThQfCSmHkerHI5PO5q0A6rWNZFtu31yAI0NZWRnGxF1WVCQRdpJJZJqdiFBV7kGWJTEbPm6nP9S202RQyGZ14PE0o5GPjpgoE4I47GihaxXN9LTIZnWQiw937m/B67bS2lhEIuLDbNRRVorKyAFkWcTpVDMNcs/jmRrjt9ELn6V5OHrqEv9BN5YZSPEEX5492UtVUSsPmKi580IXT42B8YIrBrlGmR2fZ+5mtzEzGGOkZp3FLFbFIguHucYa6x3jkK/sZ6BxF1RSqmkt5/+UTKJqCN+Bi8/4mZEXGwiRrJjAtA92KM5PtImcmyRjT+aBr5XBIhQtc31w2x5WTvQz1jHPi7Yv4CtzsfWTzkgLa9dXItKHzvc4THB65yng6ny+6EBllR2El/7J1H4opoOhgZA1SVhpZEPGoGpq4eCplQcSj2JY0rBOAzcFSnqvbyot95/lx7xkqnQGeqdlMeyCMaeUl07459Ztu5hAREQQwMbFJMjZJxgKccp6zKgkCsihgYfFc3Va+3XGM3//gRWrcQXYUViwoqObPx6MVLXyn8yP+7cnXqPUE+WLdFhq8Rbw32s0/dJ1kJBllVk/zR8deJuzw8L9uupcSh5evNu7kJ73n+NMTv8AhqzxQvoF7Sxpg7rsY1mKfKEWU8Ko2grZGfFqKydQJSl33zTWMTGBaOXQzgVMpxbJM4vogxfZdxPRe9LmBEyuLgIQm+RlLHsWr1iEgYlrpuYAxL9tWCTok/uMDBxbO869t3oQs5ptiPtXWykw6TSaXQZUUvDYbTlXh821NPNa8AVEQUSUJr03Drog83dbEEy0bkARxocWPaRlYWBhWDnlObpqXx956kJRFifsq6/j2uRP8vPsKpS4Pr/V0UuHxUeX14VRUNheX8N+vnCOTy696DvX38MXmjUiiyLZQKe8O9vFy12WagoW82dfNWGJ515JbY+XBysgNYOZ6sbt/D1ndjJG7imVdZ296s5mrIKHYDqBoe0nF/k/EVAmq/dHrcspL4fM5CJf4SWd0WlvLiEZTeH0OMhmdYx9epbTMT119MUfe76SgwI3X60CSRM6fG6C5pZR0WqegwE1ZaYCRkVm83vwsNRZL43RqZDI5MhkdXTeIx9MkEhnsdoVs1iAWS6HnDGKxNF5vFqfTRlVVAfFEhi1bq0gmM2jznWpgxZZf87niyckYMzNJ3G7bmg2vPganRMBmVymtCzEzFcvPYLvGKCoLYJomOT1HLBInk8pQWBrA4bahZ3N4g25cPgeqTaH73CB9l4aZnY7NFc9MYjMJsul8hbZhUyWTIzPoWQNZkRGQKNBaCGrNLE4/52Wp15uh502Ru871c+Kti5TUFvGZX99PMLy0om5aFsm0jigKyHPKpaerNvPZsjZctsU0xXzOsmXahXxGoWusg+mRGR77nYP86Zb7l9CJqtwB/mTLwWUUI02SuTNcS5XHy/GpLrYEanDKGuPp2fxsRoA/23YfgiByJTqMU7aRswwM0+RAaRWyIDGRmeXXGttxyjJVHg8bMm4mMtO4NY2vbdqPTc53R8iaOhlDZzobJW1oFNg8NHgL+bdb718I8POUrt3FVeworFgyoRfIB1BBEGgLlNDsD+UVWuRn7fP7/uaG3QALy+f2QAn/+45HSOjdxPUhFNGJYWXJmQnS5iR2OYxTKcUuFyEJdiRBJprtQhJVREEha0TJmQncShWy6ERAxLIipPROUnovOTMCcwHYY9tOWu/FpQSwrN0IgrBkZupUVZyqynCyA1lUSRhpdDODqGRwqRp2yQVYRPSBub+LuETbnM+DSMJIks7GMKwcM/o4xbYaVNGGiIhLWbqa8moaDYEgDnnpQHtneRWKJPJCx0UimTStBUV8tr6ZsDOft/+tTdt5sfMS37l4GlUUeWpDK/dW5ouom4vCfLV9Ky92XuLk2Ag7wmU80dCCV/1kTI1E0QuCjVz2GKYZQc+8gyCsZWYvIAguZGULdtdvkor/FYLoQ9H2Iggr5zltNoUvfnEPr7xyhsOHLuFwajz++LZ8jnQqzmc/uxW7Q+VHPzrOwMA0jY0hDh5s5dDblzh06BKBoIt/8S/2snVbNYZh8vJLJ0mlszQ2hikr83P50hBHjnSSMwzeeOMCg4PTHDjQzLmzA5w42QtYvPTSSTZuLOeOOxr44pf28LOfnebrX38DTZO5775WGhvD1NQu8r0LCtxIoogoCgSDLlpby3jv3Q4+OHqVr/z6PoLBtfF7hVvwG2/44nD3OMPd4xRXBEnG0sRmk8Sm41Q1lRIM+/jozQuUVBficNuQFZlMKouv0ANYXD7RQ21bBbFInMnhCHomx/b72rh0/CqxSJKmHTWM9ExQWltMfCZBqKpwzS0xVoucYdI9OoVpWkiSQCqj5x2p9BzN5cUE3Etd6QeuDDPaNzk3Cgpsuaf1tj730NgFLCxK7AFORbpJGzohmw+7pOGUNSRBYEZP0hMfo91XxUQmykR6FpuUn+XuL2ohZeh8MNmBaZmkTZ0yRxC3bEcVZTpiwyRzGWRBotpdxN7Cpk/ojK0OlmVhYSDegis6kniHAvtmZNG1JC9sWQbRbDe6GcMlF6KbU1jkkAQ3hhnDtLJIogPTSqOIAexK3Q1nnwOJi0xnh8hZOjbJiVPykbXmArAgMZa6iksJEFBLyZpJItlRbHMBWUTCJQeY1cdwKwU4JS+CIBKy1f2T0aJWgmlOk058F83xJJK02KYmnXgeUSpBtd0FQE6/gJ55D83xBQRBRs8cRc+8C1go2m4sK4Mk1yIrLWSSPwHRhardiyCI5PQO9MwhNPsTIKhk068hSiFUbR+WpZNNv4ZlRtDsjyOs0ELn/2e44c1x20F32YZzuc/V9FSy5nIjedqXla8R/RPdwHrO4OLAGBndYDaRYjqexGO3kc0ZNJYW0lBauGJzvWvdr24H/YkJZEHCLqv0JSawiQpuxYEgQDKXRRIEErkMhmVSYg8QycaR55gBiVwGm6TMpSEMVFFGEkRUUSZj5mlOiVwGu6QS01P4VSflzo/HZPi0kDEiKKJ7WXA2LYN0bgJV8iKLdizmHciuCcwr/G0lxPRJUkYcw8ohCQqaaCdhzJDKRdEkJ6ZlIosKmuhEN9OMZ3rxqyWAhUPykGeI5FAlO6ZpIAgiXqXon1XQXcc/O3z6Qff/rTBMk6loEsuyyOYMRFFAlSWyOQO3XcNt1z7Vh+v6wLHEW3WhYLF8n5lsAlEQccq2BZrW/H4L233MgeH/a7CuOZFZI4VpGdgk56L6i/x1SOQiOCTfHDtMWHVwX8c6rsF60F3HOtaxjl8hbhh0b1VIWx/a17GOdazjE8Sn3595HetYxzrWsYD1oLuOdaxjHb9CrAfddaxjHev4FWI96K5jHetYx68Q60F3HetYxzp+hVgPuutYxzrW8SvE/wOpJxSlhGojjQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "text = comments[comments['Sentiment']=='Positive']['Translated_Review']\n",
    "text = str(text)\n",
    "wordcloud = WordCloud(max_font_size=100, max_words=200, background_color=\"white\").generate(text)\n",
    "\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis(\"off\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 399.5, 199.5, -0.5)"
      ]
     },
     "execution_count": 278,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "text = comments[comments['Sentiment']=='Negative']['Translated_Review']\n",
    "text = str(text)\n",
    "wordcloud = WordCloud(max_font_size=100, max_words=200, background_color=\"white\").generate(text)\n",
    "\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis(\"off\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 399.5, 199.5, -0.5)"
      ]
     },
     "execution_count": 279,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "text = comments[comments['Sentiment']=='Neutral']['Translated_Review']\n",
    "text = str(text)\n",
    "wordcloud = WordCloud(max_font_size=100, max_words=200, background_color=\"white\").generate(text)\n",
    "\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis(\"off\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "import nltk\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.stem.porter import PorterStemmer\n",
    "text_list = []\n",
    "for i in comments.Translated_Review :\n",
    "    review = re.sub('[^a-zA-Z]', ' ', i)\n",
    "    review = review.lower() \n",
    "    review = review.split()\n",
    "    ps = PorterStemmer()\n",
    "    review = [ps.stem(word) for word in review if not word in set(stopwords.words('english'))]\n",
    "    review = ' '.join(review) \n",
    "    text_list.append(review)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "metadata": {},
   "outputs": [],
   "source": [
    "#text_list=[]\n",
    "#for i in comments.Translated_Review:\n",
    "#    text=re.sub(\"[^a-zA-Z]\",\" \",i)\n",
    "#    text=text.lower()\n",
    "#    text=nltk.word_tokenize(text)\n",
    "#    lemma=nltk.WordNetLemmatizer()\n",
    "#    text=[lemma.lemmatize(word) for word in text]\n",
    "#    text=\" \".join(text)\n",
    "#    text_list.append(text)\n",
    "#text_list[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 282,
   "metadata": {},
   "outputs": [],
   "source": [
    "#from sklearn.feature_extraction.text import CountVectorizer\n",
    "#max_features=1000\n",
    "#cou_vec=CountVectorizer(max_features=max_features) # stop_words=\"english\" you can add but we have already applied it.\n",
    "#sparce_matrix=cou_vec.fit_transform(text_list).toarray()\n",
    "#all_words=cou_vec.get_feature_names()\n",
    "#all_words[0:50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 283,
   "metadata": {},
   "outputs": [],
   "source": [
    "#from sklearn.feature_extraction.text import CountVectorizer\n",
    "#cv = CountVectorizer(max_features = 1000)\n",
    "#x = cv.fit_transform(text_list).toarray()\n",
    "#y = comments.iloc[:, 1].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=comments['Translated_Review']\n",
    "y=comments['Sentiment']\n",
    "\n",
    "#y = comments.iloc[:,1].values\n",
    "#x= sparce_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 285,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(x,y,test_size=0.2,random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1000"
      ]
     },
     "execution_count": 286,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer  \n",
    "vect = CountVectorizer(stop_words='english',strip_accents='ascii',max_features=1000).fit(X_train)  \n",
    "len(vect.get_feature_names())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<29941x1000 sparse matrix of type '<class 'numpy.int64'>'\n",
       "\twith 248356 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 287,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train_vectorized = vect.transform(X_train)  \n",
    "X_train_vectorized"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_test_transformed = vect.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1254  112  287]\n",
      " [  64  844  141]\n",
      " [ 275  177 4332]]\n"
     ]
    }
   ],
   "source": [
    "##DecisionTreeClassifier\n",
    "dt=DecisionTreeClassifier()\n",
    "dt.fit(X_train_vectorized,y_train)\n",
    "print(confusion_matrix(y_test,dt.predict(x_test_transformed)))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8589366818060379"
      ]
     },
     "execution_count": 290,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test,dt.predict(x_test_transformed))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Positive', 'Neutral', 'Negative', ..., 'Positive', 'Positive',\n",
       "       'Positive'], dtype=object)"
      ]
     },
     "execution_count": 291,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "rf = RandomForestClassifier(n_estimators = 10, random_state=42)\n",
    "rf.fit(X_train_vectorized,y_train)\n",
    "rf.predict(x_test_transformed)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8751001870157628"
      ]
     },
     "execution_count": 292,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test,rf.predict(x_test_transformed))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
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    "name": "ipython",
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