EDA ON GOOGLE PLAYSTORE APP.ipynb

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    "## EDA And Feature Engineering Of Google Play Store Dataset</strong>\n",
    "\n",
    "\n",
    "PROBLEM STATEMENT\n",
    "1. Description: Today , 1.85 million different apps are available for users to download . Android users have even more from which to choose, with 2.56 million avaialble through the Google Play Store. These apps have come to play a huge role in the way we live our lives today.\n",
    "\n",
    "2. Objective:\n",
    "    Find the app with largest number of installs\n",
    "    \n",
    "    The app with largest size\n",
    "    \n",
    "    To find most popular category of app\n",
    "    \n",
    "3. Overview of Dataset:\n",
    "    The dataset consist of 20 columns and 10841 rows."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7635ab7-b6e7-45d3-8f9f-f14103229d3a",
   "metadata": {},
   "source": [
    "<strong>Steps We Are Going To Follow</strong>\n",
    "1. Data Cleaning\n",
    "2. Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cefd287f-1494-4fa1-b39f-eb3180a6c2c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings('ignore')\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c3fce49f-a047-4632-8cb2-ed4883d440dd",
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   "outputs": [
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Photo Editor &amp; Candy Camera &amp; Grid &amp; ScrapBook</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>159</td>\n",
       "      <td>19M</td>\n",
       "      <td>10,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>January 7, 2018</td>\n",
       "      <td>1.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Coloring book moana</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>3.9</td>\n",
       "      <td>967</td>\n",
       "      <td>14M</td>\n",
       "      <td>500,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>January 15, 2018</td>\n",
       "      <td>2.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510</td>\n",
       "      <td>8.7M</td>\n",
       "      <td>5,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>August 1, 2018</td>\n",
       "      <td>1.2.4</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sketch - Draw &amp; Paint</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>215644</td>\n",
       "      <td>25M</td>\n",
       "      <td>50,000,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>June 8, 2018</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.2 and up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967</td>\n",
       "      <td>2.8M</td>\n",
       "      <td>100,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>June 20, 2018</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.4 and up</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 App        Category  Rating  \\\n",
       "0     Photo Editor & Candy Camera & Grid & ScrapBook  ART_AND_DESIGN     4.1   \n",
       "1                                Coloring book moana  ART_AND_DESIGN     3.9   \n",
       "2  U Launcher Lite – FREE Live Cool Themes, Hide ...  ART_AND_DESIGN     4.7   \n",
       "3                              Sketch - Draw & Paint  ART_AND_DESIGN     4.5   \n",
       "4              Pixel Draw - Number Art Coloring Book  ART_AND_DESIGN     4.3   \n",
       "\n",
       "  Reviews  Size     Installs  Type Price Content Rating  \\\n",
       "0     159   19M      10,000+  Free     0       Everyone   \n",
       "1     967   14M     500,000+  Free     0       Everyone   \n",
       "2   87510  8.7M   5,000,000+  Free     0       Everyone   \n",
       "3  215644   25M  50,000,000+  Free     0           Teen   \n",
       "4     967  2.8M     100,000+  Free     0       Everyone   \n",
       "\n",
       "                      Genres      Last Updated         Current Ver  \\\n",
       "0               Art & Design   January 7, 2018               1.0.0   \n",
       "1  Art & Design;Pretend Play  January 15, 2018               2.0.0   \n",
       "2               Art & Design    August 1, 2018               1.2.4   \n",
       "3               Art & Design      June 8, 2018  Varies with device   \n",
       "4    Art & Design;Creativity     June 20, 2018                 1.1   \n",
       "\n",
       "    Android Ver  \n",
       "0  4.0.3 and up  \n",
       "1  4.0.3 and up  \n",
       "2  4.0.3 and up  \n",
       "3    4.2 and up  \n",
       "4    4.4 and up  "
      ]
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     "execution_count": 2,
     "metadata": {},
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    }
   ],
   "source": [
    "df=pd.read_csv(\"https://raw.githubusercontent.com/krishnaik06/playstore-Dataset/main/googleplaystore.csv\")\n",
    "df.head()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6a910965-bde5-408c-bc74-c6ac892b58a2",
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10841, 13)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "df.shape"
   ]
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  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "487b7b02-385b-497b-8783-f60b0b67bb66",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['App', 'Category', 'Rating', 'Reviews', 'Size', 'Installs', 'Type',\n",
       "       'Price', 'Content Rating', 'Genres', 'Last Updated', 'Current Ver',\n",
       "       'Android Ver'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "df.columns"
   ]
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   "cell_type": "code",
   "execution_count": 5,
   "id": "a46e2bef-bfe9-4535-83f9-69906b0f0beb",
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    {
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10841 entries, 0 to 10840\n",
      "Data columns (total 13 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   App             10841 non-null  object \n",
      " 1   Category        10841 non-null  object \n",
      " 2   Rating          9367 non-null   float64\n",
      " 3   Reviews         10841 non-null  object \n",
      " 4   Size            10841 non-null  object \n",
      " 5   Installs        10841 non-null  object \n",
      " 6   Type            10840 non-null  object \n",
      " 7   Price           10841 non-null  object \n",
      " 8   Content Rating  10840 non-null  object \n",
      " 9   Genres          10841 non-null  object \n",
      " 10  Last Updated    10841 non-null  object \n",
      " 11  Current Ver     10833 non-null  object \n",
      " 12  Android Ver     10838 non-null  object \n",
      "dtypes: float64(1), object(12)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a793afef-951b-4dd4-a989-e18912be396b",
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   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>9367.000000</td>\n",
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       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.193338</td>\n",
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       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.537431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.500000</td>\n",
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       "      <th>max</th>\n",
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       "            Rating\n",
       "count  9367.000000\n",
       "mean      4.193338\n",
       "std       0.537431\n",
       "min       1.000000\n",
       "25%       4.000000\n",
       "50%       4.300000\n",
       "75%       4.500000\n",
       "max      19.000000"
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   "cell_type": "code",
   "execution_count": 7,
   "id": "f9a686b4-516d-433f-8d19-131e372a1c0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "App                  0\n",
       "Category             0\n",
       "Rating            1474\n",
       "Reviews              0\n",
       "Size                 0\n",
       "Installs             0\n",
       "Type                 1\n",
       "Price                0\n",
       "Content Rating       1\n",
       "Genres               0\n",
       "Last Updated         0\n",
       "Current Ver          8\n",
       "Android Ver          3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##missing value\n",
    "\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6d485899-45b5-45b4-a50d-014293aa9a5b",
   "metadata": {},
   "outputs": [],
   "source": []
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  {
   "cell_type": "markdown",
   "id": "338cf6ba-4589-4a07-b945-3b06969b8c5f",
   "metadata": {},
   "source": [
    "<strong>observation</strong>\n",
    "\n",
    "\n",
    "The Dataset has missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "dd259f4b-c47b-44eb-a9dc-bff70f78013f",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
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       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
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       "      <th>Installs</th>\n",
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       "      <th>Android Ver</th>\n",
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       "  <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",
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       "      <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",
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       "      <td>Art &amp; Design;Pretend Play</td>\n",
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       "                                              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",
       "\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",
       "\n",
       "                      Genres      Last Updated Current Ver   Android Ver  \n",
       "0               Art & Design   January 7, 2018       1.0.0  4.0.3 and up  \n",
       "1  Art & Design;Pretend Play  January 15, 2018       2.0.0  4.0.3 and up  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "df.head(2)"
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   "cell_type": "code",
   "execution_count": 9,
   "id": "5b0a7b81-9e60-4ecc-bef1-b36a91b9a501",
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    {
     "data": {
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       "0         596\n",
       "1         272\n",
       "2         214\n",
       "3         175\n",
       "4         137\n",
       "         ... \n",
       "342912      1\n",
       "4272        1\n",
       "5517        1\n",
       "4057        1\n",
       "398307      1\n",
       "Name: Reviews, Length: 6002, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df['Reviews'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b38eb681-fb9b-4af9-be39-4501bdb01224",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "array(['159', '967', '87510', ..., '603', '1195', '398307'], dtype=object)"
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     "execution_count": 10,
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   "source": [
    "df['Reviews'].unique()"
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  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "925aa6a8-fb26-438c-a6c2-bac5819564f8",
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "invalid literal for int() with base 10: '3.0M'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[11], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mdf\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mReviews\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mastype\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mint\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/pandas/core/generic.py:6240\u001b[0m, in \u001b[0;36mNDFrame.astype\u001b[0;34m(self, dtype, copy, errors)\u001b[0m\n\u001b[1;32m   6233\u001b[0m     results \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m   6234\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39miloc[:, i]\u001b[38;5;241m.\u001b[39mastype(dtype, copy\u001b[38;5;241m=\u001b[39mcopy)\n\u001b[1;32m   6235\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcolumns))\n\u001b[1;32m   6236\u001b[0m     ]\n\u001b[1;32m   6238\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   6239\u001b[0m     \u001b[38;5;66;03m# else, only a single dtype is given\u001b[39;00m\n\u001b[0;32m-> 6240\u001b[0m     new_data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_mgr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mastype\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   6241\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_constructor(new_data)\u001b[38;5;241m.\u001b[39m__finalize__(\u001b[38;5;28mself\u001b[39m, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mastype\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m   6243\u001b[0m \u001b[38;5;66;03m# GH 33113: handle empty frame or series\u001b[39;00m\n",
      "File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/pandas/core/internals/managers.py:450\u001b[0m, in \u001b[0;36mBaseBlockManager.astype\u001b[0;34m(self, dtype, copy, errors)\u001b[0m\n\u001b[1;32m    449\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mastype\u001b[39m(\u001b[38;5;28mself\u001b[39m: T, dtype, copy: \u001b[38;5;28mbool\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m, errors: \u001b[38;5;28mstr\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mraise\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m T:\n\u001b[0;32m--> 450\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mastype\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/pandas/core/internals/managers.py:352\u001b[0m, in \u001b[0;36mBaseBlockManager.apply\u001b[0;34m(self, f, align_keys, ignore_failures, **kwargs)\u001b[0m\n\u001b[1;32m    350\u001b[0m         applied \u001b[38;5;241m=\u001b[39m b\u001b[38;5;241m.\u001b[39mapply(f, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m    351\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 352\u001b[0m         applied \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mgetattr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mb\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    353\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mTypeError\u001b[39;00m, \u001b[38;5;167;01mNotImplementedError\u001b[39;00m):\n\u001b[1;32m    354\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m ignore_failures:\n",
      "File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/pandas/core/internals/blocks.py:526\u001b[0m, in \u001b[0;36mBlock.astype\u001b[0;34m(self, dtype, copy, errors)\u001b[0m\n\u001b[1;32m    508\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    509\u001b[0m \u001b[38;5;124;03mCoerce to the new dtype.\u001b[39;00m\n\u001b[1;32m    510\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    522\u001b[0m \u001b[38;5;124;03mBlock\u001b[39;00m\n\u001b[1;32m    523\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    524\u001b[0m values \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvalues\n\u001b[0;32m--> 526\u001b[0m new_values \u001b[38;5;241m=\u001b[39m \u001b[43mastype_array_safe\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    528\u001b[0m new_values \u001b[38;5;241m=\u001b[39m maybe_coerce_values(new_values)\n\u001b[1;32m    529\u001b[0m newb \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmake_block(new_values)\n",
      "File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/pandas/core/dtypes/astype.py:299\u001b[0m, in \u001b[0;36mastype_array_safe\u001b[0;34m(values, dtype, copy, errors)\u001b[0m\n\u001b[1;32m    296\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m values\u001b[38;5;241m.\u001b[39mcopy()\n\u001b[1;32m    298\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 299\u001b[0m     new_values \u001b[38;5;241m=\u001b[39m \u001b[43mastype_array\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    300\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mValueError\u001b[39;00m, \u001b[38;5;167;01mTypeError\u001b[39;00m):\n\u001b[1;32m    301\u001b[0m     \u001b[38;5;66;03m# e.g. astype_nansafe can fail on object-dtype of strings\u001b[39;00m\n\u001b[1;32m    302\u001b[0m     \u001b[38;5;66;03m#  trying to convert to float\u001b[39;00m\n\u001b[1;32m    303\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m errors \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n",
      "File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/pandas/core/dtypes/astype.py:230\u001b[0m, in \u001b[0;36mastype_array\u001b[0;34m(values, dtype, copy)\u001b[0m\n\u001b[1;32m    227\u001b[0m     values \u001b[38;5;241m=\u001b[39m values\u001b[38;5;241m.\u001b[39mastype(dtype, copy\u001b[38;5;241m=\u001b[39mcopy)\n\u001b[1;32m    229\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 230\u001b[0m     values \u001b[38;5;241m=\u001b[39m \u001b[43mastype_nansafe\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcopy\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    232\u001b[0m \u001b[38;5;66;03m# in pandas we don't store numpy str dtypes, so convert to object\u001b[39;00m\n\u001b[1;32m    233\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(dtype, np\u001b[38;5;241m.\u001b[39mdtype) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28missubclass\u001b[39m(values\u001b[38;5;241m.\u001b[39mdtype\u001b[38;5;241m.\u001b[39mtype, \u001b[38;5;28mstr\u001b[39m):\n",
      "File \u001b[0;32m/opt/conda/lib/python3.10/site-packages/pandas/core/dtypes/astype.py:170\u001b[0m, in \u001b[0;36mastype_nansafe\u001b[0;34m(arr, dtype, copy, skipna)\u001b[0m\n\u001b[1;32m    166\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(msg)\n\u001b[1;32m    168\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m copy \u001b[38;5;129;01mor\u001b[39;00m is_object_dtype(arr\u001b[38;5;241m.\u001b[39mdtype) \u001b[38;5;129;01mor\u001b[39;00m is_object_dtype(dtype):\n\u001b[1;32m    169\u001b[0m     \u001b[38;5;66;03m# Explicit copy, or required since NumPy can't view from / to object.\u001b[39;00m\n\u001b[0;32m--> 170\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43marr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mastype\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m    172\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m arr\u001b[38;5;241m.\u001b[39mastype(dtype, copy\u001b[38;5;241m=\u001b[39mcopy)\n",
      "\u001b[0;31mValueError\u001b[0m: invalid literal for int() with base 10: '3.0M'"
     ]
    }
   ],
   "source": [
    "df['Reviews'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fb826d46-0fdd-4178-847e-cecf7c33dc51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10840"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Reviews'].str.isnumeric().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d1286a7d-2898-4b60-bbb3-808f2ee20232",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10472</th>\n",
       "      <td>Life Made WI-Fi Touchscreen Photo Frame</td>\n",
       "      <td>1.9</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0M</td>\n",
       "      <td>1,000+</td>\n",
       "      <td>Free</td>\n",
       "      <td>0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>NaN</td>\n",
       "      <td>February 11, 2018</td>\n",
       "      <td>1.0.19</td>\n",
       "      <td>4.0 and up</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           App Category  Rating Reviews  \\\n",
       "10472  Life Made WI-Fi Touchscreen Photo Frame      1.9    19.0    3.0M   \n",
       "\n",
       "         Size Installs Type     Price Content Rating             Genres  \\\n",
       "10472  1,000+     Free    0  Everyone            NaN  February 11, 2018   \n",
       "\n",
       "      Last Updated Current Ver Android Ver  \n",
       "10472       1.0.19  4.0 and up         NaN  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[~df['Reviews'].str.isnumeric()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f4d1dd86-66cf-4113-aaa2-1c1e513d61af",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy=df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c404e48d-dd1b-4847-be4b-0fd1ebdc93e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy=df_copy.drop(df_copy.index[10472])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0808c1f0-26d0-49ac-a8c6-7c7447e30119",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [App, Category, Rating, Reviews, Size, Installs, Type, Price, Content Rating, Genres, Last Updated, Current Ver, Android Ver]\n",
       "Index: []"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy[~df_copy['Reviews'].str.isnumeric()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2c890580-5f50-4bbf-bb0b-2de2ac3a9e5c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy['Reviews']=df_copy['Reviews'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "be68ac4d-5c12-4f97-8f32-dccc96003662",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 10840 entries, 0 to 10840\n",
      "Data columns (total 13 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   App             10840 non-null  object \n",
      " 1   Category        10840 non-null  object \n",
      " 2   Rating          9366 non-null   float64\n",
      " 3   Reviews         10840 non-null  int64  \n",
      " 4   Size            10840 non-null  object \n",
      " 5   Installs        10840 non-null  object \n",
      " 6   Type            10839 non-null  object \n",
      " 7   Price           10840 non-null  object \n",
      " 8   Content Rating  10840 non-null  object \n",
      " 9   Genres          10840 non-null  object \n",
      " 10  Last Updated    10840 non-null  object \n",
      " 11  Current Ver     10832 non-null  object \n",
      " 12  Android Ver     10838 non-null  object \n",
      "dtypes: float64(1), int64(1), object(11)\n",
      "memory usage: 1.2+ MB\n"
     ]
    }
   ],
   "source": [
    "df_copy.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d4a18cd0-d001-4e3a-8cc8-bf94c66f1ca8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "cfa5bd88-b12f-481b-a116-926110e55082",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['19M', '14M', '8.7M', '25M', '2.8M', '5.6M', '29M', '33M', '3.1M',\n",
       "       '28M', '12M', '20M', '21M', '37M', '2.7M', '5.5M', '17M', '39M',\n",
       "       '31M', '4.2M', '7.0M', '23M', '6.0M', '6.1M', '4.6M', '9.2M',\n",
       "       '5.2M', '11M', '24M', 'Varies with device', '9.4M', '15M', '10M',\n",
       "       '1.2M', '26M', '8.0M', '7.9M', '56M', '57M', '35M', '54M', '201k',\n",
       "       '3.6M', '5.7M', '8.6M', '2.4M', '27M', '2.5M', '16M', '3.4M',\n",
       "       '8.9M', '3.9M', '2.9M', '38M', '32M', '5.4M', '18M', '1.1M',\n",
       "       '2.2M', '4.5M', '9.8M', '52M', '9.0M', '6.7M', '30M', '2.6M',\n",
       "       '7.1M', '3.7M', '22M', '7.4M', '6.4M', '3.2M', '8.2M', '9.9M',\n",
       "       '4.9M', '9.5M', '5.0M', '5.9M', '13M', '73M', '6.8M', '3.5M',\n",
       "       '4.0M', '2.3M', '7.2M', '2.1M', '42M', '7.3M', '9.1M', '55M',\n",
       "       '23k', '6.5M', '1.5M', '7.5M', '51M', '41M', '48M', '8.5M', '46M',\n",
       "       '8.3M', '4.3M', '4.7M', '3.3M', '40M', '7.8M', '8.8M', '6.6M',\n",
       "       '5.1M', '61M', '66M', '79k', '8.4M', '118k', '44M', '695k', '1.6M',\n",
       "       '6.2M', '18k', '53M', '1.4M', '3.0M', '5.8M', '3.8M', '9.6M',\n",
       "       '45M', '63M', '49M', '77M', '4.4M', '4.8M', '70M', '6.9M', '9.3M',\n",
       "       '10.0M', '8.1M', '36M', '84M', '97M', '2.0M', '1.9M', '1.8M',\n",
       "       '5.3M', '47M', '556k', '526k', '76M', '7.6M', '59M', '9.7M', '78M',\n",
       "       '72M', '43M', '7.7M', '6.3M', '334k', '34M', '93M', '65M', '79M',\n",
       "       '100M', '58M', '50M', '68M', '64M', '67M', '60M', '94M', '232k',\n",
       "       '99M', '624k', '95M', '8.5k', '41k', '292k', '11k', '80M', '1.7M',\n",
       "       '74M', '62M', '69M', '75M', '98M', '85M', '82M', '96M', '87M',\n",
       "       '71M', '86M', '91M', '81M', '92M', '83M', '88M', '704k', '862k',\n",
       "       '899k', '378k', '266k', '375k', '1.3M', '975k', '980k', '4.1M',\n",
       "       '89M', '696k', '544k', '525k', '920k', '779k', '853k', '720k',\n",
       "       '713k', '772k', '318k', '58k', '241k', '196k', '857k', '51k',\n",
       "       '953k', '865k', '251k', '930k', '540k', '313k', '746k', '203k',\n",
       "       '26k', '314k', '239k', '371k', '220k', '730k', '756k', '91k',\n",
       "       '293k', '17k', '74k', '14k', '317k', '78k', '924k', '902k', '818k',\n",
       "       '81k', '939k', '169k', '45k', '475k', '965k', '90M', '545k', '61k',\n",
       "       '283k', '655k', '714k', '93k', '872k', '121k', '322k', '1.0M',\n",
       "       '976k', '172k', '238k', '549k', '206k', '954k', '444k', '717k',\n",
       "       '210k', '609k', '308k', '705k', '306k', '904k', '473k', '175k',\n",
       "       '350k', '383k', '454k', '421k', '70k', '812k', '442k', '842k',\n",
       "       '417k', '412k', '459k', '478k', '335k', '782k', '721k', '430k',\n",
       "       '429k', '192k', '200k', '460k', '728k', '496k', '816k', '414k',\n",
       "       '506k', '887k', '613k', '243k', '569k', '778k', '683k', '592k',\n",
       "       '319k', '186k', '840k', '647k', '191k', '373k', '437k', '598k',\n",
       "       '716k', '585k', '982k', '222k', '219k', '55k', '948k', '323k',\n",
       "       '691k', '511k', '951k', '963k', '25k', '554k', '351k', '27k',\n",
       "       '82k', '208k', '913k', '514k', '551k', '29k', '103k', '898k',\n",
       "       '743k', '116k', '153k', '209k', '353k', '499k', '173k', '597k',\n",
       "       '809k', '122k', '411k', '400k', '801k', '787k', '237k', '50k',\n",
       "       '643k', '986k', '97k', '516k', '837k', '780k', '961k', '269k',\n",
       "       '20k', '498k', '600k', '749k', '642k', '881k', '72k', '656k',\n",
       "       '601k', '221k', '228k', '108k', '940k', '176k', '33k', '663k',\n",
       "       '34k', '942k', '259k', '164k', '458k', '245k', '629k', '28k',\n",
       "       '288k', '775k', '785k', '636k', '916k', '994k', '309k', '485k',\n",
       "       '914k', '903k', '608k', '500k', '54k', '562k', '847k', '957k',\n",
       "       '688k', '811k', '270k', '48k', '329k', '523k', '921k', '874k',\n",
       "       '981k', '784k', '280k', '24k', '518k', '754k', '892k', '154k',\n",
       "       '860k', '364k', '387k', '626k', '161k', '879k', '39k', '970k',\n",
       "       '170k', '141k', '160k', '144k', '143k', '190k', '376k', '193k',\n",
       "       '246k', '73k', '658k', '992k', '253k', '420k', '404k', '470k',\n",
       "       '226k', '240k', '89k', '234k', '257k', '861k', '467k', '157k',\n",
       "       '44k', '676k', '67k', '552k', '885k', '1020k', '582k', '619k'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Size'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4cd1ef3e-21e5-4dca-a551-c1c4e4ffe829",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy['Size']=df_copy['Size'].str.replace('M','000')\n",
    "df_copy['Size']=df_copy['Size'].str.replace('k','')\n",
    "df_copy['Size']=df_copy['Size'].replace('Varies with device',np.nan)\n",
    "df_copy['Size']=df_copy['Size'].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4a3b1e8a-1f1f-468e-b1d0-af7b0bd44be0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 10840 entries, 0 to 10840\n",
      "Data columns (total 13 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   App             10840 non-null  object \n",
      " 1   Category        10840 non-null  object \n",
      " 2   Rating          9366 non-null   float64\n",
      " 3   Reviews         10840 non-null  int64  \n",
      " 4   Size            9145 non-null   float64\n",
      " 5   Installs        10840 non-null  object \n",
      " 6   Type            10839 non-null  object \n",
      " 7   Price           10840 non-null  object \n",
      " 8   Content Rating  10840 non-null  object \n",
      " 9   Genres          10840 non-null  object \n",
      " 10  Last Updated    10840 non-null  object \n",
      " 11  Current Ver     10832 non-null  object \n",
      " 12  Android Ver     10838 non-null  object \n",
      "dtypes: float64(2), int64(1), object(10)\n",
      "memory usage: 1.2+ MB\n"
     ]
    }
   ],
   "source": [
    "df_copy.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "74a3e236-0992-4c75-8cc3-8220a78ef150",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['10,000+', '500,000+', '5,000,000+', '50,000,000+', '100,000+',\n",
       "       '50,000+', '1,000,000+', '10,000,000+', '5,000+', '100,000,000+',\n",
       "       '1,000,000,000+', '1,000+', '500,000,000+', '50+', '100+', '500+',\n",
       "       '10+', '1+', '5+', '0+', '0'], dtype=object)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Installs'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d70bc727-b955-49a2-ac6a-ebd28eae4df6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['0', '$4.99', '$3.99', '$6.99', '$1.49', '$2.99', '$7.99', '$5.99',\n",
       "       '$3.49', '$1.99', '$9.99', '$7.49', '$0.99', '$9.00', '$5.49',\n",
       "       '$10.00', '$24.99', '$11.99', '$79.99', '$16.99', '$14.99',\n",
       "       '$1.00', '$29.99', '$12.99', '$2.49', '$10.99', '$1.50', '$19.99',\n",
       "       '$15.99', '$33.99', '$74.99', '$39.99', '$3.95', '$4.49', '$1.70',\n",
       "       '$8.99', '$2.00', '$3.88', '$25.99', '$399.99', '$17.99',\n",
       "       '$400.00', '$3.02', '$1.76', '$4.84', '$4.77', '$1.61', '$2.50',\n",
       "       '$1.59', '$6.49', '$1.29', '$5.00', '$13.99', '$299.99', '$379.99',\n",
       "       '$37.99', '$18.99', '$389.99', '$19.90', '$8.49', '$1.75',\n",
       "       '$14.00', '$4.85', '$46.99', '$109.99', '$154.99', '$3.08',\n",
       "       '$2.59', '$4.80', '$1.96', '$19.40', '$3.90', '$4.59', '$15.46',\n",
       "       '$3.04', '$4.29', '$2.60', '$3.28', '$4.60', '$28.99', '$2.95',\n",
       "       '$2.90', '$1.97', '$200.00', '$89.99', '$2.56', '$30.99', '$3.61',\n",
       "       '$394.99', '$1.26', '$1.20', '$1.04'], dtype=object)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Price'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2a5ca1cd-aefc-4419-8254-64989a7a9b0c",
   "metadata": {},
   "outputs": [],
   "source": [
    "chars_to_remove=['+',',','$']\n",
    "cols_to_clean=['Installs','Price']\n",
    "\n",
    "for item in chars_to_remove:\n",
    "    for cols in cols_to_clean:\n",
    "        df_copy[cols]=df_copy[cols].str.replace(item,'')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "43366618-8cb3-426b-b001-112047c2649a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['10000', '500000', '5000000', '50000000', '100000', '50000',\n",
       "       '1000000', '10000000', '5000', '100000000', '1000000000', '1000',\n",
       "       '500000000', '50', '100', '500', '10', '1', '5', '0'], dtype=object)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Installs'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "73b06309-d8f6-4c2c-b056-7ff2c5450590",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['0', '4.99', '3.99', '6.99', '1.49', '2.99', '7.99', '5.99',\n",
       "       '3.49', '1.99', '9.99', '7.49', '0.99', '9.00', '5.49', '10.00',\n",
       "       '24.99', '11.99', '79.99', '16.99', '14.99', '1.00', '29.99',\n",
       "       '12.99', '2.49', '10.99', '1.50', '19.99', '15.99', '33.99',\n",
       "       '74.99', '39.99', '3.95', '4.49', '1.70', '8.99', '2.00', '3.88',\n",
       "       '25.99', '399.99', '17.99', '400.00', '3.02', '1.76', '4.84',\n",
       "       '4.77', '1.61', '2.50', '1.59', '6.49', '1.29', '5.00', '13.99',\n",
       "       '299.99', '379.99', '37.99', '18.99', '389.99', '19.90', '8.49',\n",
       "       '1.75', '14.00', '4.85', '46.99', '109.99', '154.99', '3.08',\n",
       "       '2.59', '4.80', '1.96', '19.40', '3.90', '4.59', '15.46', '3.04',\n",
       "       '4.29', '2.60', '3.28', '4.60', '28.99', '2.95', '2.90', '1.97',\n",
       "       '200.00', '89.99', '2.56', '30.99', '3.61', '394.99', '1.26',\n",
       "       '1.20', '1.04'], dtype=object)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Price'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4ba21628-fe89-4777-a33c-3e51275f936c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy['Installs']=df_copy['Installs'].astype(int)\n",
    "df_copy['Price']=df_copy['Price'].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "5721c68a-31da-49f1-9ee6-34a80481f15b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 10840 entries, 0 to 10840\n",
      "Data columns (total 13 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   App             10840 non-null  object \n",
      " 1   Category        10840 non-null  object \n",
      " 2   Rating          9366 non-null   float64\n",
      " 3   Reviews         10840 non-null  int64  \n",
      " 4   Size            9145 non-null   float64\n",
      " 5   Installs        10840 non-null  int64  \n",
      " 6   Type            10839 non-null  object \n",
      " 7   Price           10840 non-null  float64\n",
      " 8   Content Rating  10840 non-null  object \n",
      " 9   Genres          10840 non-null  object \n",
      " 10  Last Updated    10840 non-null  object \n",
      " 11  Current Ver     10832 non-null  object \n",
      " 12  Android Ver     10838 non-null  object \n",
      "dtypes: float64(3), int64(2), object(8)\n",
      "memory usage: 1.2+ MB\n"
     ]
    }
   ],
   "source": [
    "df_copy.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "fb3487c7-9a05-4e28-93c6-04b0f626d86d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         January 7, 2018\n",
       "1        January 15, 2018\n",
       "2          August 1, 2018\n",
       "3            June 8, 2018\n",
       "4           June 20, 2018\n",
       "               ...       \n",
       "10836       July 25, 2017\n",
       "10837        July 6, 2018\n",
       "10838    January 20, 2017\n",
       "10839    January 19, 2015\n",
       "10840       July 25, 2018\n",
       "Name: Last Updated, Length: 10840, dtype: object"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Last Updated']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "1933b246-2c8b-48e0-8987-435749198fe1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['January 7, 2018', 'January 15, 2018', 'August 1, 2018', ...,\n",
       "       'January 20, 2014', 'February 16, 2014', 'March 23, 2014'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Last Updated'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "2dbf56d5-88d1-4fd8-9cf5-1fd9d794472e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy['Last Updated']=pd.to_datetime(df_copy['Last Updated'])\n",
    "df_copy['Day']=df_copy['Last Updated'].dt.day\n",
    "df_copy['Month']=df_copy['Last Updated'].dt.month\n",
    "df_copy['Year']=df_copy['Last Updated'].dt.year\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "1fa796ab-6867-4c2d-9c64-1f456eb3262c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 10840 entries, 0 to 10840\n",
      "Data columns (total 16 columns):\n",
      " #   Column          Non-Null Count  Dtype         \n",
      "---  ------          --------------  -----         \n",
      " 0   App             10840 non-null  object        \n",
      " 1   Category        10840 non-null  object        \n",
      " 2   Rating          9366 non-null   float64       \n",
      " 3   Reviews         10840 non-null  int64         \n",
      " 4   Size            9145 non-null   float64       \n",
      " 5   Installs        10840 non-null  int64         \n",
      " 6   Type            10839 non-null  object        \n",
      " 7   Price           10840 non-null  float64       \n",
      " 8   Content Rating  10840 non-null  object        \n",
      " 9   Genres          10840 non-null  object        \n",
      " 10  Last Updated    10840 non-null  datetime64[ns]\n",
      " 11  Current Ver     10832 non-null  object        \n",
      " 12  Android Ver     10838 non-null  object        \n",
      " 13  Day             10840 non-null  int64         \n",
      " 14  Month           10840 non-null  int64         \n",
      " 15  Year            10840 non-null  int64         \n",
      "dtypes: datetime64[ns](1), float64(3), int64(5), object(7)\n",
      "memory usage: 1.4+ MB\n"
     ]
    }
   ],
   "source": [
    "df_copy.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "a22494af-b84d-4e88-9ada-a26fc2ae0510",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Everyone           8714\n",
       "Teen               1208\n",
       "Mature 17+          499\n",
       "Everyone 10+        414\n",
       "Adults only 18+       3\n",
       "Unrated               2\n",
       "Name: Content Rating, dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Content Rating'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e7b60e8-4db0-4652-9f85-11744bb589bd",
   "metadata": {},
   "source": [
    "## EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "bb9ae1ca-47fc-45f1-9797-0134366b7075",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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",
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       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "      <th>Day</th>\n",
       "      <th>Month</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Photo Editor &amp; Candy Camera &amp; Grid &amp; ScrapBook</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.1</td>\n",
       "      <td>159</td>\n",
       "      <td>19000.0</td>\n",
       "      <td>10000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>2018-01-07</td>\n",
       "      <td>1.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Coloring book moana</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>3.9</td>\n",
       "      <td>967</td>\n",
       "      <td>14000.0</td>\n",
       "      <td>500000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Pretend Play</td>\n",
       "      <td>2018-01-15</td>\n",
       "      <td>2.0.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>U Launcher Lite – FREE Live Cool Themes, Hide ...</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.7</td>\n",
       "      <td>87510</td>\n",
       "      <td>8.7</td>\n",
       "      <td>5000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>2018-08-01</td>\n",
       "      <td>1.2.4</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sketch - Draw &amp; Paint</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.5</td>\n",
       "      <td>215644</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>50000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Art &amp; Design</td>\n",
       "      <td>2018-06-08</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.2 and up</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pixel Draw - Number Art Coloring Book</td>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>4.3</td>\n",
       "      <td>967</td>\n",
       "      <td>2.8</td>\n",
       "      <td>100000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Art &amp; Design;Creativity</td>\n",
       "      <td>2018-06-20</td>\n",
       "      <td>1.1</td>\n",
       "      <td>4.4 and up</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 App        Category  Rating  \\\n",
       "0     Photo Editor & Candy Camera & Grid & ScrapBook  ART_AND_DESIGN     4.1   \n",
       "1                                Coloring book moana  ART_AND_DESIGN     3.9   \n",
       "2  U Launcher Lite – FREE Live Cool Themes, Hide ...  ART_AND_DESIGN     4.7   \n",
       "3                              Sketch - Draw & Paint  ART_AND_DESIGN     4.5   \n",
       "4              Pixel Draw - Number Art Coloring Book  ART_AND_DESIGN     4.3   \n",
       "\n",
       "   Reviews     Size  Installs  Type  Price Content Rating  \\\n",
       "0      159  19000.0     10000  Free    0.0       Everyone   \n",
       "1      967  14000.0    500000  Free    0.0       Everyone   \n",
       "2    87510      8.7   5000000  Free    0.0       Everyone   \n",
       "3   215644  25000.0  50000000  Free    0.0           Teen   \n",
       "4      967      2.8    100000  Free    0.0       Everyone   \n",
       "\n",
       "                      Genres Last Updated         Current Ver   Android Ver  \\\n",
       "0               Art & Design   2018-01-07               1.0.0  4.0.3 and up   \n",
       "1  Art & Design;Pretend Play   2018-01-15               2.0.0  4.0.3 and up   \n",
       "2               Art & Design   2018-08-01               1.2.4  4.0.3 and up   \n",
       "3               Art & Design   2018-06-08  Varies with device    4.2 and up   \n",
       "4    Art & Design;Creativity   2018-06-20                 1.1    4.4 and up   \n",
       "\n",
       "   Day  Month  Year  \n",
       "0    7      1  2018  \n",
       "1   15      1  2018  \n",
       "2    1      8  2018  \n",
       "3    8      6  2018  \n",
       "4   20      6  2018  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "f67849f3-ab01-4358-bd4b-8ebfe031553b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
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       "      <th>Content Rating</th>\n",
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       "      <th>Android Ver</th>\n",
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       "      <th>Month</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>Quick PDF Scanner + OCR FREE</td>\n",
       "      <td>BUSINESS</td>\n",
       "      <td>4.2</td>\n",
       "      <td>80805</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Business</td>\n",
       "      <td>2018-02-26</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>Box</td>\n",
       "      <td>BUSINESS</td>\n",
       "      <td>4.2</td>\n",
       "      <td>159872</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Business</td>\n",
       "      <td>2018-07-31</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>Varies with device</td>\n",
       "      <td>31</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>Google My Business</td>\n",
       "      <td>BUSINESS</td>\n",
       "      <td>4.4</td>\n",
       "      <td>70991</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Business</td>\n",
       "      <td>2018-07-24</td>\n",
       "      <td>2.19.0.204537701</td>\n",
       "      <td>4.4 and up</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>ZOOM Cloud Meetings</td>\n",
       "      <td>BUSINESS</td>\n",
       "      <td>4.4</td>\n",
       "      <td>31614</td>\n",
       "      <td>37000.0</td>\n",
       "      <td>10000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Business</td>\n",
       "      <td>2018-07-20</td>\n",
       "      <td>4.1.28165.0716</td>\n",
       "      <td>4.0 and up</td>\n",
       "      <td>20</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>join.me - Simple Meetings</td>\n",
       "      <td>BUSINESS</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6989</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Business</td>\n",
       "      <td>2018-07-16</td>\n",
       "      <td>4.3.0.508</td>\n",
       "      <td>4.4 and up</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10715</th>\n",
       "      <td>FarmersOnly Dating</td>\n",
       "      <td>DATING</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1145</td>\n",
       "      <td>1.4</td>\n",
       "      <td>100000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Mature 17+</td>\n",
       "      <td>Dating</td>\n",
       "      <td>2016-02-25</td>\n",
       "      <td>2.2</td>\n",
       "      <td>4.0 and up</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10720</th>\n",
       "      <td>Firefox Focus: The privacy browser</td>\n",
       "      <td>COMMUNICATION</td>\n",
       "      <td>4.4</td>\n",
       "      <td>36981</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Communication</td>\n",
       "      <td>2018-07-06</td>\n",
       "      <td>5.2</td>\n",
       "      <td>5.0 and up</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10730</th>\n",
       "      <td>FP Notebook</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>4.5</td>\n",
       "      <td>410</td>\n",
       "      <td>60000.0</td>\n",
       "      <td>50000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>2018-03-24</td>\n",
       "      <td>2.1.0.372</td>\n",
       "      <td>4.4 and up</td>\n",
       "      <td>24</td>\n",
       "      <td>3</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10753</th>\n",
       "      <td>Slickdeals: Coupons &amp; Shopping</td>\n",
       "      <td>SHOPPING</td>\n",
       "      <td>4.5</td>\n",
       "      <td>33599</td>\n",
       "      <td>12000.0</td>\n",
       "      <td>1000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Shopping</td>\n",
       "      <td>2018-07-30</td>\n",
       "      <td>3.9</td>\n",
       "      <td>4.4 and up</td>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10768</th>\n",
       "      <td>AAFP</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>3.8</td>\n",
       "      <td>63</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>10000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>2018-06-22</td>\n",
       "      <td>2.3.1</td>\n",
       "      <td>5.0 and up</td>\n",
       "      <td>22</td>\n",
       "      <td>6</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1181 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      App       Category  Rating  Reviews  \\\n",
       "229          Quick PDF Scanner + OCR FREE       BUSINESS     4.2    80805   \n",
       "236                                   Box       BUSINESS     4.2   159872   \n",
       "239                    Google My Business       BUSINESS     4.4    70991   \n",
       "256                   ZOOM Cloud Meetings       BUSINESS     4.4    31614   \n",
       "261             join.me - Simple Meetings       BUSINESS     4.0     6989   \n",
       "...                                   ...            ...     ...      ...   \n",
       "10715                  FarmersOnly Dating         DATING     3.0     1145   \n",
       "10720  Firefox Focus: The privacy browser  COMMUNICATION     4.4    36981   \n",
       "10730                         FP Notebook        MEDICAL     4.5      410   \n",
       "10753      Slickdeals: Coupons & Shopping       SHOPPING     4.5    33599   \n",
       "10768                                AAFP        MEDICAL     3.8       63   \n",
       "\n",
       "          Size  Installs  Type  Price Content Rating         Genres  \\\n",
       "229        NaN   5000000  Free    0.0       Everyone       Business   \n",
       "236        NaN  10000000  Free    0.0       Everyone       Business   \n",
       "239        NaN   5000000  Free    0.0       Everyone       Business   \n",
       "256    37000.0  10000000  Free    0.0       Everyone       Business   \n",
       "261        NaN   1000000  Free    0.0       Everyone       Business   \n",
       "...        ...       ...   ...    ...            ...            ...   \n",
       "10715      1.4    100000  Free    0.0     Mature 17+         Dating   \n",
       "10720      4.0   1000000  Free    0.0       Everyone  Communication   \n",
       "10730  60000.0     50000  Free    0.0       Everyone        Medical   \n",
       "10753  12000.0   1000000  Free    0.0       Everyone       Shopping   \n",
       "10768  24000.0     10000  Free    0.0       Everyone        Medical   \n",
       "\n",
       "      Last Updated         Current Ver         Android Ver  Day  Month  Year  \n",
       "229     2018-02-26  Varies with device        4.0.3 and up   26      2  2018  \n",
       "236     2018-07-31  Varies with device  Varies with device   31      7  2018  \n",
       "239     2018-07-24    2.19.0.204537701          4.4 and up   24      7  2018  \n",
       "256     2018-07-20      4.1.28165.0716          4.0 and up   20      7  2018  \n",
       "261     2018-07-16           4.3.0.508          4.4 and up   16      7  2018  \n",
       "...            ...                 ...                 ...  ...    ...   ...  \n",
       "10715   2016-02-25                 2.2          4.0 and up   25      2  2016  \n",
       "10720   2018-07-06                 5.2          5.0 and up    6      7  2018  \n",
       "10730   2018-03-24           2.1.0.372          4.4 and up   24      3  2018  \n",
       "10753   2018-07-30                 3.9          4.4 and up   30      7  2018  \n",
       "10768   2018-06-22               2.3.1          5.0 and up   22      6  2018  \n",
       "\n",
       "[1181 rows x 16 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy[df_copy.duplicated('App')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "47481592-99dc-44c2-9a7d-f9fa6559a91d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1181, 16)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy[df_copy.duplicated('App')].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a721a81f-f0d1-498a-a988-7327b01685a9",
   "metadata": {},
   "source": [
    "## observation\n",
    "\n",
    "The datset has duplicate records"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "51e655bb-466d-44d7-8573-f64f5d7fe01f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy=df_copy.drop_duplicates(subset=['App'],keep='first')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "dfd306d9-cd16-4952-a7d9-47b834725c1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 16)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy[df_copy.duplicated('App')].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "008d82e3-51f7-457c-9325-771f8c8e8947",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we have 9 numerical features :['Rating', 'Reviews', 'Size', 'Installs', 'Price', 'Last Updated', 'Day', 'Month', 'Year']\n",
      "\n",
      "We have 7 categorical features:['App', 'Category', 'Type', 'Content Rating', 'Genres', 'Current Ver', 'Android Ver']\n"
     ]
    }
   ],
   "source": [
    "##lets go ahead and explore more data\n",
    "\n",
    "numeric_features=[feature for feature in df_copy.columns if df_copy[feature].dtype !='O']\n",
    "categorical_features=[feature for feature in df_copy.columns if df_copy[feature].dtype=='O']\n",
    "\n",
    "##print columns\n",
    "print('we have {} numerical features :{}'.format(len(numeric_features),numeric_features))\n",
    "print('\\nWe have {} categorical features:{}'.format(len(categorical_features),categorical_features))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5e10fcaa-3f89-443f-902f-9ff9f4569dff",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "f39826e1-c505-41a4-ab69-834fc8639bbe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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uLi7CqVOnlMpdvXpVcHNzUyrn4eEhvHz5UuOxi6KuO7mPj4+Ql5enOGfBx/38/BSPF6TufQBAmDp1qqJMbm6u0L9/f5Uy6oZHnDx5Ujh//rzG+LOzs9V2lYyPj1cpW7CMui6eEydOVCl36dIlpTLTpk1TKXPx4kXF43/99ZfK4//++6/a+K9duyYsWLBA2LRpk8pjRXWtTEpKUnn8999/V3ueO3fuCCtWrBCWLl2q9vGizJkzR+3/ya1btxRl8vLy1L5+Xl5eQnZ2ttLxdH2PaEtTnfrJJ58obXvzzTcV+xhLV3NAecjB/fv3BQcHB5UylpaWwqFDhxTlTpw4oVXd36VLF5VyK1euVCrz7NkzoXXr1irlzpw5o1X8zZo1E1JTU1WOKadNV/Nvv/1W7XP+/vvvVeqdFy9eCEuXLhViYmKUtuuzPpe6q7k2t/yv/z///KPyeGBgoHD//n2lc23dulWQyWRK5Xr16qUSU0xMjHDt2jWNMaenpwshISFKx5HJZMKjR49K/FqVRldzAIKrq6sQFxenVPbly5eK/486deoolbexsRF27dqlVD41NVWoVauWUjk7OzshOTlZUaZgPenr6ytkZGSoPJfc3Fzh1KlTwuTJkwv9fCMyNLZ4E/1PZGQkKlasqPi9e/fu8Pb2Vrra/OTJEzx58kRl3dSiuLi4oFevXkoTae3du1fpWBcuXFDp7pi/1U+uXr16AMSJjf7++29cuHABSUlJyMjIUHRvTkxMVInh9OnT6NmzZ5GxDh06VG0ru4ODQ5H75le1alVUrVoVgiDg9OnTOHfuHG7fvo2MjAxFK7O6K9T6mJjnyJEjil4McuPGjUNwcLDStpo1a+K9997DN998o9iWkpKCP//8U6mbsy7UtXb37dtXMSFUzZo1ERgYiLNnzyoeT0hIwN9//41WrVppdQ5PT0988cUXit8tLCzwwQcfqLTWqmsZa9q0KQBxorK///4bly5dwr1795CRkaHokq/p7xIYGKhVfPmNGjUKUVFRSl34V61ahW+//Vbxe8HWv6ZNmyq1njo5Oakc986dOwgICFDZXqNGjWJ3cVV3Hk0t6N7e3vjggw+KdR4A2Lp1q8q22bNnw9fXV/G7TCbD119/rTKJ2927d3Hy5Em0bNmy2OcvqU8++QRLly5VtHr/8ssv+PzzzxX1kzHw9PTE5MmTFb+7ubkhKChIpfdE79690aFDB8XvzZo1Q7Vq1ZTePwXr/rS0NJXu523atMGIESOUtjk6OmLKlCno2rWr0vYtW7aorClfkKWlJTZs2IBKlSqpHFMX6oaKfPzxx2onO7Szs1P0psjPkPW51NT1PliwYAHc3NyUtvXu3RtNmzZV6gG2e/duPH/+HOXKlVNsa9u2LQBxaM1ff/2Fy5cv4+HDh8jIyEBubi4AKO7lBEFAfHy80v+hMVuwYIFKS7+trS0AcdK1y5cvKz02cOBAlfdApUqVMHHiRKWhKy9fvsSuXbvw/vvvA1Ctk1++fImHDx8qvd6A+Bko7wFGZMyYeBNBTIy7deumst3T01Pli3daWprOiTcgrqmbP/HOysrC9u3bFUmuum7mQ4YMUdmWk5ODuXPn4rvvvtN6rCAgjmHThj5nPl6+fDnmzJmj0+zY2sZZmBMnTqhsmzVrFmbNmqXV/sePH9dr4i3vZp7/9/yJNwCsXbtW68S7X79+sLGxUdrm6empUq7gzMSA+GVw+vTpWLlypU7j5or7d6lZsyZef/117N27V7FtzZo1iIyMhJWVFS5cuKAyxr3g/329evXg4eGBlJQUxbYuXbqgWrVqqFevHmrXro06deqgadOmCAwMhKWlZbFidXJyQtOmTXHq1CnFtg8//BAzZsxAQECA4jxNmjRBcHCwyt9AWzk5OThz5ozKdnV1kI2NDV577TWV/6tTp04ZNPGuVKkSxowZg7lz5wIQx3rPmDFDbT1mKB06dICVlfLXHA8PD5Vy6oYPeXp6qly4yl/3x8XFqcwdcezYMbUzrqujzZjetm3blribdm5uLmJjY1W2jxw5UudjGao+l5q6zwtt6/+srCycPn0arVu3VmxLTU1FREQE1q1bV+Q46PzKwmsFiBdnBg4cqPFxda/nzz//jJ9//lmr4x8/flyReHfs2FHpsdTUVPj5+aFu3brw9/eHv78/6tati5CQENSoUUOHZ0FkGJxcjYxWwS9MRRHUTIql7RdwHx8ftV+Y7OzsVLblX4JGF6GhoSrrNedPxAt+YW3ZsqXa9XHffPNNTJs2TaekGxDH+WmjYcOGOh1Xk48//hgfffSRzktSaRtnYfKPnyuO4i4RFRcXp3Kl39vbWyVB6t+/v8q+v/76q8qEbJpUrVpVZZs2/6vZ2dno3LkzFixYoPNkNSX5uxScZC01NVUxiVHB1jgbGxu8+eabStssLS2xePFilffzzZs3sXv3bkRFRWHkyJEICgqCl5cXvvjiC60m9FEnKioK9vb2Stvu3r2L/fv34//+7/8wduxYtGrVCu7u7hg/frzKWGBtPHr0SOVvY29vD1dXV7Xl1a3HLR9naUiTJk1San399ddfC52krLSpe93UvU/UlVN3USX/36w06hh91MUPHz5UaV21sbGBn5+fTscxZH2uK3nLfGG3/L0N9Pm3fPz4MVq1aoUff/xRp6QbMMxrVRz+/v6K1m119Pl6BgQEKMa7y+Xm5uLff//Fli1b8NVXX2Hw4MGoWbMmAgICsGbNmhKdm0hqTLzJaLm4uKhsK+yDSd1jFSpU0Opcmr7wFrflTB0LCwuVdYkPHjyIBw8e4MyZMyprbqtred61a5dWk/Koo+7ChDrqXndd/fvvv8We8VXbOKVU3BlU165dq7KtXLlymDhxIiZMmKC4LVu2TCW5e/jwoVKrcGHU/b9q87+6cuVK/PPPP1qdo6CS/F26du2q8kVfvjZ9wcS7W7duap9fv3798M8//6Bv374q3QzzS01NxaxZs1R6GWirZcuWiI+Px5AhQwp9Lzx9+hSLFi1Cx44dtb5gIqfutdS2pdSYuLm5KU1EKAgCZsyYUezjabqoWXDYiLbUJdnaXmCVmjZ1jD7qYnV0/V8r6/W51PL/Lb/66qtir74g1Wul6X2l68V7Oan+L+UKvjeioqLwyy+/oHXr1oV+zl28eBFDhgxRGsZEZGzY1ZyMlrqus+rGLsvdvn1bZZu6boWGNHToUKXxxDk5OdiyZYvKDMn29vYYMGCAyv6//fabyrYWLVpg7ty5CAwMVHwg/vHHH+jSpUuxYtRHArBjxw6VLxG1a9fGwoUL0axZM1SoUAEymQxXrlxBnTp1Sny+gtzd3VW2denSBf7+/lrtX5zZn3Nzc5V6MMhdvXpV7eyu6qxduxY9evTQ+dzaUvf/061bN3z55Zfw9/dXjKdbsWJFsbqiamJhYYGRI0fis88+U2zbs2cPDh8+jH///VeprLrhFXLBwcHYvHkzsrKycP78eVy6dAnXrl3DuXPnsHfvXqVW7t27d+P48eMqS/lpo3bt2oiOjkZubi4uXLiAixcv4vr167hw4QL27NmjNMtufHw8Nm/ejLfeekvr48tnkc//hfj58+d4+PCh2osO6uo9df/jhvDxxx9jyZIlihmzN2/erFUiq26GfHW9FB49elToMo+Gou71r1+/vtZdlPPPJ6KJPupiV1dXWFpaKrV6Z2ZmIiEhQetWb0PX51Jzd3dXGe4yfPhwrec1yT8fhbo6dujQofj4449Ro0YNxQXXiIgIfP311yWIWj1t31eCIBT6faowRf1fqntvtGzZUjG/SFFq1qypsq1///7o378/nj59ivj4eFy5cgXXrl3DqVOnEBMTo/T/OXPmTIwfP77YQ4GIpMTEm4xW8+bNVbalpKTg4sWLaifwUbfOasHlpgytbt26KmNIN27ciFu3bimV69Wrl9qryuouLixZskRlbWh1Y6xKk7o4v/rqK5WLAdrGqe4qd8Huk/mp+4CvXr06oqKiijxXbm5usXo6HDp0SGkMcnHs3LkTz549UzvJlz6o+7v89NNPKsmeFP8/77//PqZPn46XL18CEF/nd999V6mMm5ubygQ86tjY2CiWu5M7cOAAOnfurFTuxIkTxUq85SwtLdGwYUOlLr9Xr15VGQJy4sQJnRJvKysrNG7cWGVZud27d2Pw4MFK27KystTWbdp+iZWaq6srxo4di6+++gqA+IVem27+6iYIUzeR3YYNG0oepAQaN26sktAKgoDvvvtOq4S5sPpLnywtLREUFKSyJOSKFSu0Tvz0XZ8bm6ZNmyImJkZpW2hoqNohQQUV/Lwo+Fo5Oztj1apVKgmxVJ992r6vdu/eLdnyW+rqpvLly2v1+SsfCqCJi4sL2rVrh3bt2im2TZs2DXPmzFH8np6ejosXLxY5eSGRIbCrORktHx8fNG7cWGX7hAkTVL7Y7d69G9u3b1cpq80s3qWtYBfyI0eOqLR4a5rgTN0V3IKTdMXExCgmPDIUbeL8999/8emnn2p1PHVfJi5evKixfPv27VWGGaxYsQI//fSTxg/1c+fOYfr06WrHT2tDXTdzXb148aLYQwm0oc3fZdOmTfjpp5/0fm5XV1eVsdsFx4u+/fbbsLa2Vtk3NzcX/fv3x65duzQmderGzOo6xhIQ18j95ZdfNH4pVTe2ujjnUbe++tSpU5VaoQRBwOTJk1Wem6enp97W5NaHjz/+WOd1hNW1tp46dUppIrDbt28jMjKyxPFJwcXFRaV1+8KFCxg3bpzG/9E7d+5g6dKlCAoKwrFjx0ojTADq55SYN28eVq1apVIfZmVl4YcfflBKRPVdnxsbde/FMWPGqJ2UDhDnyjh8+DA++OAD9OrVS+mxgq9Veno6rl+/rvhdEATMnz8fhw8f1io2XT/7KlSooHLRPjk5Wen70ePHjzFlyhStzl8cAQEBKr3Ldu/ejcjISI3Dcq5evYpvv/0WderUUbp4ceLECYwbNw4nTpzQ2GVeX3U/UWlgizcZtcmTJ6vMnrl//35Ur14dnTt3hpOTEy5duoQjR46ofIFo0KCB2lmCDe2tt95CeHi4xg8Gb29vvPbaa2ofCwoKws6dO5W2ffDBB9iyZQt8fHzw33//qX0tSlvBFnhAnFX82LFj8Pf3x+3bt7F//36VWYE1qVWrlsq2bdu2ITQ0FLVr11ZMxDdnzhw4ODjAwcEBkydPVuranJubi6FDh2LmzJkICgpCpUqV8OLFCyQmJuLcuXMlmqzqxYsX2LZtm8r269evFzorcXR0NIYNG6a0bd26dXqdWT6/oKAgnD9/Xmlbt27d0LVrV7i6uuLcuXOStlqNHj0a0dHRGh8v2AIuJwgCNm/ejM2bN8PW1hb169dHrVq1UKFCBeTl5eHatWsqLVYA1E5OWJT9+/cjOjoaVlZWihnT5V3Db926hUOHDunlPGPGjEFUVJTSRESJiYkICAhAt27dUL58efz99984d+6cyr6ff/65zpNPSqlixYoYN24cZs+erfU+FSpUQIMGDZT+H3NyctCxY0f07dsX2dnZ2Llzp9qZ+Y3FjBkzcODAAaWEYMmSJVi3bh3atGkDLy8v5OTkIDU1FRcuXFBKwEqTfEm//C2fubm5GD58OObOnYtWrVqhXLlyuHv3Lv788088ePBAqT7Td31ubEJCQhAWFoY9e/YotqWmpqJp06Zo2rQp/P394eLigqdPn+L69es4f/68Yhxy/pZXQHytjhw5ovg9Ly8PwcHB6Nq1KxwcHHDy5EmVOrgw6j773n33XXTv3l3RUykgIECxjJ1MJkPbtm1VvicMHDgQffv2hZ2dHXbt2iX55IwzZ85U+e42ZcoULF68GCEhIfDw8MDLly+RnJyM8+fPa5y079mzZ1i8eDEWL16M8uXLo0GDBvDz84OTkxNevHiB06dPIz4+XmkfCwsLznBOxkvidcKJSmzYsGECAJ1uzs7OwsWLF9UeLyEhQaV8u3bt1JZt166dStmEhASlMqtXr1YpM3369EKfU79+/TTGPnnyZI37JSYmCvb29kU+/9dff11l25AhQ1SOV7VqVZVyRdHm9UtPTxc8PDyKFae6v0Vubq7aWAve7t+/r7RPr169dP7fKU61uGHDBpVjBAYGFrnfgwcPBCsrK6X9LCwshKSkJEWZ6dOnqxx79erVKsfS5u9y6tQpwcLCosjnHxoaqtX/dMEyVatWLfI5N2vWTO05AwICNO6TnZ2t89+wWrVqwvPnz5WOo8372dvbW6fzuLi4CMnJyUU+b3ViYmIEGxsbnc43YMAAIS8vT+VYxamHtKHt++PRo0eCs7OzxrgLvs6CIAgrVqwo8vna29sL5cqVKzIGbZ//kCFDVModPnxYpZw2/yuCIAgLFiwoVh1T8JzF/ftp+3xiY2MFR0dHrePbtm2bYl991+favrbaUPe6aVMPFZSamirUqFFD579jwee3ZcuWIvexsrISOnbsqLJdXb1+8ODBIo/XrVs3pX3++OOPIvextLQUKlSoUOTfQZfvSwWNGzeuWO+N/DHs379f5/0HDhyoVXxEhsCu5mT0fvjhB0yfPl3riTICAwNx4sQJpQlPjE1hE0gV1tpZpUoVrF27ttClPD766CNMnjy5JOGVmIODAzZv3lzo7KdvvPEGFi1apNXxLCwsMG/ePLUTxxS2z6+//oopU6ao7b6saZ/irN+tbu1udd0XC3J1dUWbNm2UtuXl5amdpE0fgoODERUVpfF1lMlk+Oqrr3Qar6yrgkuLyRX2ntB1kqlq1aphx44dKjPHa0OXc7m5uWHbtm3FnsSxbdu2OHbsmFatM1ZWVvjss8+wfv16o5wBvUKFCpgwYYJO+4wYMQK9e/fW+Libmxv++OMPVKpUqYTRSWfixInYuHGjxpUx1GnQoIHK0pJSk4/zVtd6XRR91+fGqFKlSvjnn39Uuo4Xply5cir1d58+fTBp0iSN+9jY2GDVqlUq+2nSsWNHnYfMhYaGqizBlZ+DgwM2btyot6VDNVm4cCEWLlyo9SR1gDgvT/5hK7rWdZ06dcLy5ct12oeoNDHxJqNnYWGBL7/8Erdu3VJM6OLj4wMHBwdYWVnB1dUVDRs2xIgRI7Br1y6cOXPG6GdW7dKli9ov6y1atChy5u0+ffogNjYWgwYNgqenJ6ytrVG5cmWEhYXht99+w9KlS6UKWyetWrXC2bNn8eGHH6Jq1aqwsbGBm5sb2rVrh+joaGzfvl2nWUf79euHmJgY9O3bF97e3lol01ZWVpgzZw5u3bqFOXPmoHPnzvD29oa9vT2sra3h6uqKxo0b45133sEPP/yAxMREtRNZFebhw4f4448/VLZrk3gDUJt46GO8uCZjx47F0aNH0atXL1SqVAnW1tbw9vZGv379cOTIEUREREh2bkDs8ujm5qa0zdLSEoMGDdK4j6WlJe7evYvo6Gh8+OGHaNWqlaKruaWlJRwdHVGrVi307t0bq1atwuXLl9GgQYNixXf27Fls3LgR48aNQ7t27VCnTh3FzNDlypVDtWrV0LVrVyxatAjXr19Hhw4dinUeuWbNmuHy5ctYt24dBg4ciOrVq8PR0RHW1tZwd3dHq1atMHXqVFy7dg1ff/21Xpc41LeJEyfqtNSQTCbDr7/+imXLlqFZs2ZwdHREuXLlUK9ePURERODy5ctaJyiGNHDgQNy+fRvff/89+vXrp+gKa2lpCWdnZ9SpUwe9evXCt99+i3PnzuHcuXPFGp5QUnXr1kVsbCz27duHDz74AA0aNEDFihUVn6MBAQF4++238dNPP6Fjx45K++q7PjdG8gtpZ86cQXh4OJo3bw53d3fY2NjAzs4OHh4eaNWqFUaNGoUtW7bg3r17mDVrlspxvv32W+zcuROhoaGoUKECbG1tUbVqVQwZMgQnT57UOKRGk82bN2PhwoUICQmBi4uLVsloVFQUNm7ciHbt2sHFxQW2traoWbMmxo0bh4sXLxZ7uUVdjRs3DomJifjuu+/QvXt3+Pr6Kr67lS9fHvXr18eAAQOwePFiXLt2DcePH1ea8b9Tp074999/ERUVhbfffhtNmzZFtWrV4OjoqDhGw4YNMWzYMOzevRsHDhxA+fLlS+W5ERWHTBDMYJFFIiIyGsHBwUozer/++utar2FOREREVBaxxZuIiErNgQMHVJbReu+99wwUDREREVHpYIs3ERFJasKECcjLy8OdO3ewe/dupRn9vb29kZCQoPU4fCIiIqKyiIk3ERFJqrAxidHR0YVOrEZERERkCtjVnIiIDGLo0KFMuomIiMgsWBk6ACIiMh8ODg6KVQgKWzqPiIiIyJQw8SYiIklxRBMRERGZO3Y1JyIiIiIiIpIQE28iIiIiIiIiCTHxJiIiIiIiIpIQE28iIiIiIiIiCTHxJiIiIiIiIpIQE28iIiIiIiIiCTHxJiIiIiIiIpIQE28iIiIiIiIiCTHxJiIiIiIiIpIQE28iIiIiIiIiCTHxJiIiIiIiIpIQE28iIiIiIiIiCTHxJiIiIiIiIpIQE28iIiIiIiIiCTHxJiIiIiIiIpIQE28iIiIiIiIiCTHxJiIiIiIiIpIQE28iIiIiIiIiCTHxJiIiIiIiIpIQE28iIiIiIiIiCTHxJiIiIiIiIpIQE28iIiIiIiIiCTHxJiIiIiIiIpIQE28iIiIiIiIiCTHxJiIiIiIiIpIQE28iIiIiIiIiCTHxJiIiIiIiIpIQE28iIiIiIiIiCTHxJiIiIiIiIpIQE28iIiIiIiIiCTHxJiKiEjl69Ch69OgBLy8vyGQybN++XfJzJiUl4Z133oGrqyvKlSuHRo0aIS4uTvLzEhEVR2nXk19++SVkMpnSzcPDQ9JzElHhmHgTEVGJZGRkIDAwEEuWLCmV8z1+/BitWrWCtbU19uzZg4sXL2L+/PkoX758qZyfiEhXpV1PAkBAQACSk5MVt/Pnz5fauYlIlZWhAyAiorItLCwMYWFhGh/PysrCtGnTsG7dOjx58gT169fH3Llz0b59+2Kdb+7cufDx8cHq1asV26pVq1asYxERlYbSricBwMrKiq3cREaELd5ERCSpYcOG4a+//sLGjRtx7tw59O/fH126dMHVq1eLdbwdO3YgODgY/fv3h7u7Oxo3bozvv/9ez1ETEZUefdeTAHD16lV4eXnBz88Pb775Jm7cuKHHiIlIVzJBEARDB0FERKZBJpNh27Zt6NWrFwDg+vXrqFWrFu7cuQMvLy9Fuddeew3NmjXDV199pfM57OzsAADh4eHo378/Tp48iQkTJmDFihV499139fI8iIikUhr15J49e/D8+XPUrl0b9+7dw+zZs3H58mVcuHABrq6u+noqRKQDdjUnIiLJnD59GoIgoHbt2krbMzMzFV/+bt68CT8/v0KPM3r0aMXYyLy8PAQHByu+jDZu3BgXLlzAsmXLmHgTUZkjRT2Zv1t7gwYNEBISgho1auCnn35CeHi4np8BEWmDiTcREUkmLy8PlpaWiIuLg6WlpdJjjo6OAABvb29cunSp0ONUqFBB8bOnpyfq1aun9HjdunWxZcsWPUVNRFR6pKgnC3JwcECDBg1K1HWdiEqGiTcREUmmcePGyM3NRWpqKtq0aaO2jLW1NerUqaP1MVu1aoUrV64obfvvv/9QtWrVEsVKRGQIUtSTBWVmZuLSpUsaj09E0mPiTUREJZKeno5r164pfk9ISEB8fDwqVqyI2rVrY9CgQXj33Xcxf/58NG7cGA8ePMChQ4fQoEEDdO3aVefzTZw4ES1btsRXX32FAQMG4OTJk1i5ciVWrlypz6dFRKQ3pV1PTpo0CT169ICvry9SU1Mxe/ZspKWlYciQIfp8WkSkA06uRkREJXLkyBF06NBBZfuQIUMQHR2N7OxszJ49G2vWrEFSUhJcXV0REhKCGTNmoEGDBsU65++//46IiAhcvXoVfn5+CA8Px4gRI0r6VIiIJFHa9eSbb76Jo0eP4sGDB6hUqRJatGiBWbNmqQzTIaLSw8SbiIiIiIiISEJcx5uIiIiIiIhIQky8iYiIiIiIiCTEydXUyMvLw927d+Hk5ASZTGbocIhIDwRBwLNnz+Dl5QULC15zLCnWk0Smh/Wk/rGuJDI9xa0rmXircffuXfj4+Bg6DCKSQGJiIqpUqWLoMMo81pNEpov1pP6wriQyXbrWlUy81XBycgIgvpjOzs4GjoaI9CEtLQ0+Pj6K9zeVDOtJItPDelL/WFcSmZ7i1pVMvNWQdwVydnZmJUlkYtjVTz9YTxKZLtaT+sO6ksh06VpXcgAPERERERERkYSYeBMRERERERFJyOgT76NHj6JHjx7w8vKCTCbD9u3bCy1/5MgRyGQyldvly5dLJ2AiY3bjBvD8uaGjIHOWlwf8+6+hoyAiMm2CAJw+Ld4TkVEw+sQ7IyMDgYGBWLJkiU77XblyBcnJyYpbrVq1JIqQqIx4+RJo0gQIDQUyMw0dDZmr/fuBRo2AJ08MHQkRken68UcgKAgYMgTIyTF0NESEMjC5WlhYGMLCwnTez93dHeXLl9d/QERl1R9/AE+fAidOALNnA7NmGToiMkdpaUBuLpCeDrCOJiLSP0EAoqIAX1/g55+Bvn2Bnj0NHRWR2TP6Fu/iaty4MTw9PdGpUyccPny40LKZmZlIS0tTuhGZnM2bgerVgQ4dxCScyBByc8V79rogIpLG0aPikJ5x4wAvL+DgQUNHREQwwcTb09MTK1euxJYtW7B161b4+/ujU6dOOHr0qMZ9IiMj4eLiorj5+PiUYsREpSAnB9ixA2jTBqhTBzh7FsjKMnRUZI6YeBMRSevAAaBiRXF4WePG4u9EZHBG39VcV/7+/vD391f8HhISgsTERMybNw9t27ZVu09ERATCw8MVv8sXRScyGbduiV1869cHypUTk+5z54DgYENHRuZGnnjzwg8RkTTOnAFq1gRkMjHx3rULSEkBPDwMHRmRWTO5Fm91WrRogatXr2p83NbWFs7Ozko3IpNy7Zp47+0tfhhbWQEnTxo2JjJP8kl+2OJNRCQNeeINiIk3AMTEGC4eIgJgJon3mTNn4OnpaegwiAzn6lUx2XZ3B2xsgBo1mHiTYbCrORGRdO7fB+7efZV4V6wIuLoCFy8aNi4iMv6u5unp6bgmb60DkJCQgPj4eFSsWBG+vr6IiIhAUlIS1qxZAwCIiopCtWrVEBAQgKysLKxduxZbtmzBli1bDPUUiAzv2jWxtdvSUvy9Rg2xqzlRaWPiTUQknfh48V6eeANAlSrAlSsGCYeIXjH6xDs2NhYdOnRQ/C4fiz1kyBBER0cjOTkZt2/fVjyelZWFSZMmISkpCfb29ggICMCuXbvQtWvXUo+dyGhcvSrObCpXpQpw7Ji45IhMZri4yPww8SYiks6ZM4C9vXixXa5KFeDyZcPFREQAykBX8/bt20MQBJVbdHQ0ACA6OhpHjhxRlP/0009x7do1vHjxAo8ePcKxY8eYdBNdvar8IeztDTx7JnZJIypNHONNRGVUZGQkZDIZJkyYYOhQNPvvP3H9bot8X/F9fcXvAXl5houLiIw/8SaiEsrJAW7eVL36DYgfxESliS3eRFQGnTp1CitXrkTDhg0NHUrhbtxQnb3cxwd4/hy4c8cwMRERACbeRKYvMRHIzlbuai7/mYk3lTYm3kRUxqSnp2PQoEH4/vvvUaFCBUOHU7iEBNXE29dXvOc4byKDYuJNZOrkV7grV361zc5OnOE838SFRKWCXc2JqIwZPXo0unXrhtdee63IspmZmUhLS1O6lZqcHPFie8GVfDw8xJVNmHgTGZTRT65GRCV096547+qqvN3bmy3eVPrkLd5ZWYaNg4hICxs3bsTp06dx6tQprcpHRkZixowZEkelwZ07Yh1bMPG2tBS3JSQYJi4iAsAWbyLTd/eu2MLt4KC83ctLnISFyryjR4+iR48e8PLygkwmw/bt24vcJyYmBkFBQbCzs0P16tWxfPly6QMF2NWciMqMxMREjB8/HmvXroWdnZ1W+0RERODp06eKW2JiosRR5iNPrAt2NQfEXm75VgEiotLHxJvI1N29C7i5qS4b5u0tTsIiCIaJi/QmIyMDgYGBWLJkiVblExIS0LVrV7Rp0wZnzpzBlClTMG7cOGzZskXiSMHEm4jKjLi4OKSmpiIoKAhWVlawsrJCTEwMFi1aBCsrK+TK67N8bG1t4ezsrHQrNYUl3pUqMfEmMjB2NScydXfvqnYzB8QW77Q04PFjoGLF0o+L9CYsLAxhYWFal1++fDl8fX0RFRUFAKhbty5iY2Mxb9489O3bV6Io/4djvImojOjUqRPOnz+vtG3YsGGoU6cOPvvsM1haWhooMg1u3hQTbBsb1ccqVwbi40s7IiLKh4k3kanTlHjLr4jfuMHE28wcP34coaGhSttef/11rFq1CtnZ2bC2tlbZJzMzE5n5kuViTxjEFm8iKiOcnJxQv359pW0ODg5wdXVV2W4U1M1oLufuDqSkiHWvrW3pxkVEANjVnMj0FdbiDYiJN5mVlJQUVM4/yz2AypUrIycnBw8ePFC7T2RkJFxcXBQ3Hx+f4p2ciTcRkTTu3BGHlqnj7i7eJyWVXjxEpISJN5GpS05W/0Hs5CTemHibJVmBMf/C/8b6F9wup7cJg9jVnIjKsCNHjiiG6RidpKSiE+/SnOyNiJSwqzmRKXv2TLypa/EGxFZvLi9idjw8PJCSkqK0LTU1FVZWVnDV8L9ia2sLW310T2SLNxGR/gmC2MNN01rj8sSbE6wRGQxbvIlMWXKyeK8p8fbwAK5fL714yCiEhIRg//79Stv27duH4OBgteO79YqJNxGR/j17BmRkaG7xtrMDypdn4k1kQEy8iUzZ3bvivabE29OTXc1NQHp6OuLj4xH/vxlrExISEB8fj9v/+4IVERGBd999V1F+5MiRuHXrFsLDw3Hp0iX8+OOPWLVqFSZNmiR9sPLEOytL+nMREZkL+dhtTYk3IM5szq7mRAbDruZEpkzenVjTrOWenuLV7+xsQOqWTpJMbGwsOnTooPg9PDwcADBkyBBER0cjOTlZkYQDgJ+fH3bv3o2JEyfi//7v/+Dl5YVFixZJv5QYwDHeRERSkCfemi60A+J3AfkFeSIqdUy8iUzZvXvisiHlyql/3NtbbIG8eROoVatUQyP9ad++vWJyNHWio6NVtrVr1w6nT5+WMCoN5C3eL1+W/rmJiEyVPKEurMXb1ZWzmhMZELuaE5mye/fEK9waZqpGlSri/dWrpRcTmTeO8SYi0r+kJMDFpfA1ut3c2OJNZEBMvIlM2b174mQqmlSqJH5IM/Gm0sLEm4hI/+7eLbybOSBeiE9NfVUPE1GpYuJNZMpSUjSP7wYACwuxuzkTbyotHONNRKR/ha3hLefmBuTlick3EZU6Jt5EpiwlpfAWb0CcYO2//0olHCK2eBMRSSApqfAL7cCrFnF2NycyCCbeRKZMPsa7MFWqsMWbSg8TbyIi/UtJKbqrubxFnIk3kUEw8SYyVYIA3L8PVKhQeDlvb3FJMa6rTKWBXc2JiPRLELS70O7iIg4xY+JNZBBMvIlM1ZMnYjJdVOLt4yOO+WKrN5UGtngTEenX06dinVpU4m1pKbaKM/EmMgjJEu+EhASpDk1E2rh3T7wvKvGuUUO8P3dO2nhIhVnWk/IWb/awICIJmVX9mpIi3heVeANi4p2cLG08RKSWZIl3zZo10aFDB6xduxYvX76U6jREpIm2ibeTE1C5MhNvAzDLelLe4s3Em4gkZFb1qzzxLurzHhCT86QkaeMhIrUkS7zPnj2Lxo0b4+OPP4aHhwc+/PBDnDx5UqrTEVFB8sRbmyvgfn7A2bPSxkMqzLKezD/GWxAMGwsRmSyzql91afGuWJEt3kQGIlniXb9+fSxYsABJSUlYvXo1UlJS0Lp1awQEBGDBggW4f/++VKcmIkBMvG1sAAeHostWr84WbwMwy3oyNxeQycSfs7MNGwsRmSyzql9TUgA7O6BcuaLLurq+StSJqFRJPrmalZUVevfujV9++QVz587F9evXMWnSJFSpUgXvvvsuknnVjUgaKSnilW15klOYGjXErmePHkkfF6kwq3oyNxewtRV/5gRrRCQxs6hf5TOaa/N5X7EikJr6atgPEZUayRPv2NhYjBo1Cp6enliwYAEmTZqE69ev49ChQ0hKSkLPnj0L3f/o0aPo0aMHvLy8IJPJsH379iLPGRMTg6CgINjZ2aF69epYvny5np4NURmizdIicjVrivdxcdLFQxqVtJ4sU3JzxZYZgIk3EUnOLOpX+YV2bVSsKNbDDx9KGxMRqbCS6sALFizA6tWrceXKFXTt2hVr1qxB165dYWEh5vp+fn5YsWIF6tSpU+hxMjIyEBgYiGHDhqFv375FnjchIQFdu3bFiBEjsHbtWvz1118YNWoUKlWqpNX+RCYjJUW7iVYAcUmxChWAmBigc2dp4yIFfdWTZUpODlu8iUhyZlW/Jidr/3kvT9CTkwF3d+liIiIVkiXey5Ytw3vvvYdhw4bBw8NDbRlfX1+sWrWq0OOEhYUhLCxM6/MuX74cvr6+iIqKAgDUrVsXsbGxmDdvHhNvMi8pKYCG954KmQwIDAQOH5Y2JlKir3qyTGGLNxGVArOqX1NSgKpVtSvr6vpqn8BA6WIiIhWSJd779++Hr6+v4sqinCAISExMhK+vL2xsbDBkyBC9nvf48eMIDQ1V2vb6669j1apVyM7OhrW1tco+mZmZyMz3BTAtLU2vMREZREoKUK+e9uUDA4GlS4GMDO0mZKMSM1Q9aVAc401EpcCs6teUFKBxY+3KylvGTWFsO1EZI9kY7xo1auDBgwcq2x89egQ/Pz+pTouUlBRUrlxZaVvlypWRk5OjNh4AiIyMhIuLi+Lm4+MjWXxEpUIQxMlTtB3zBQCNGomzTP/1l2RhkTJD1ZMGlZPzqsWba3kTkUTMpn7NzQXu39e+q7mNDeDiwpnNiQxAssRb0LA+a3p6OuzkX7okIiswq6M8loLb5SIiIvD06VPFLTExUdL4iCT3+LGYRGv7QQyI3dS8vYGNG6WLi5QYsp40GLZ4E1EpMJv69eFDIC9PtwvtXMubyCD03tU8PDwcgJjkfvHFFyiXb03B3NxcnDhxAo0aNdL3aRU8PDyQUuAqXmpqKqysrOAqH9dSgK2tLWzlXwSJTIH8PaDLB7FMBoSGAr/8AixaBDg6ShMbGbyeNKjcXLHFBRBbv4mI9Mjs6td798R7XS60V6hQOi3ef/0FLFsmri/+7bdiSzuRGdN74n3mzBkA4pXG8+fPw0b+BQuAjY0NAgMDMWnSJH2fViEkJAQ7d+5U2rZv3z4EBwerHd9NZJKKk3gDwOuvA9HRYqv38OF6D4tEhq4nDSo3F5DXxUy8iUjPzK5+LU7iXbEicPeuNPHIXbwIdOkCuLkBDx4Ax44BZ868GmpEZIb0nngf/t+syMOGDcPChQvh7OxcouOlp6fj2rVrit8TEhIQHx+PihUrwtfXFxEREUhKSsKaNWsAACNHjsSSJUsQHh6OESNG4Pjx41i1ahU2bNhQojiIyhT5B7GuiXflykCbNsD06cCbb7LVWyL6rifLlJycVy3e2dmGjYWITI7Z1a/FTbzj4qSJBxDnmXn7baBSJeD//k9sDPjgA2DhQuCzz6Q7L5GRk2yM9+rVq/VS2cXGxqJx48Zo/L/ZGsPDw9G4cWN88cUXAIDk5GTcvn1bUd7Pzw+7d+/GkSNH0KhRI8yaNQuLFi3iUmJkXlJSAHt78aarkSPFq9PTpuk/LlKir3qyTGFXcyIqBWZTv967J3bl1uXz3tX1VcIuhT17gLNngXHjxLj8/IA33gDmzAGePJHuvERGTq8t3n369EF0dDScnZ3Rp0+fQstu3bpVq2O2b99e4wQZABAdHa2yrV27djh9+rRWxycySSkpr9bq1JWnJzBihHhlOjAQGDZMv7GZOSnqyTIlf+LNFm8i0iOzrF/v3dO9d1vFikB6uniTomfb118DAQHK64S//TawfTuwaRPw4Yf6PydRGaDXxNvFxUUxc7gLJ1AgMpykpOIn3gDQty9w+7Y4ztvODnjrLf3FZubMvp7MyeEYbyKShFnWrykpunUzB159P0hOBmrV0m88V6+K47k//1yctDX/OZs1A378kYk3mS29Jt6rV69W+zMRlbLExJIl3jIZMH68uM7y4MFiotSvn/7iM2NmX0/m5bHFm4gkYZb16717QPnyuu0jZeK9caPY9b1lS9XHunQBvvwSuHIF8PfX73mJygDJxni/ePECz58/V/x+69YtREVFYd++fVKdkojkkpLESU1KwtIS+OQToH17sYvYX3/pJTR6xSzrSY7xJqJSYDb1a3FavOVd0/W9lrcgAOvXA61aqZ+9vEULcfuOHfo9L1EZIVni3bNnT8VM40+ePEGzZs0wf/589OzZE8uWLZPqtEQkCOIyIW5uJT+WpaU4A2m9ekDv3qWz7qcZMct6kmO8iagUmE39eu+e7om3g4OYAOs78b58Wbx16KD+cVtboEkToMCyv0TmQrLE+/Tp02jTpg0AYPPmzfDw8MCtW7ewZs0aLFq0SKrTEtGTJ8CLF/pJvAGxm/n06WLr5Icfiok96YVZ1pMc401EpcAs6te8POD+fd0Tb5lM7G6u78R71y4xoW/SRHOZkBDg77+BR4/0e26iMkCyxPv58+dwcnICAOzbtw99+vSBhYUFWrRogVu3bkl1WiJKShLv9ZV4A+KH+oQJYvew7dv1d1wzZ5b1ZG6umHjLZGzxJiLJmEX9+uiRWKfqmngDYndzfSfeO3cCjRuLLduatGghxvzHH/o9N1EZIFniXbNmTWzfvh2JiYn4448/EBoaCgBITU01j3UViQxFisQbANq2BZo2BT79lAmTnphdPZmXJ95bWABWVmzxJiLJmEX9Kh/+VZzJVPWdeD95Is4F07x54eXc3MR1vQ8e1N+5icoIyRLvL774ApMmTUK1atXQvHlzhISEABCvOjZu3Fiq0xLRnTuvupHp28iRwPXrgLnMFisxs6snc3PFewsLcf4AXsAhIomYRf0qT7x1Xcdbvo8+E+9Dh8Q6vqjEGxBbxQ8c0N+5icoIvS4nll+/fv3QunVrJCcnIzAwULG9U6dO6N27t1SnJaKkJPEDVT6OVp+qVwfatQPmzgXef19MnqjYzK6elLdwW1qyxZuIJGUW9as88S5OV3N9j/E+cADw8QE8PIou26QJsHUrcOOG+L2CyExIlngDgIeHBzwKvAGbNWsm5SmJKClJ/93M83vzTbHle8sWYMAA6c5jJsyqnpS3eFtassWbiCRn8vXrvXuvZijXlaurOEY8M7PwMdna2r9fbMnWRmCg2PPpwAHggw9Kfm6iMkKyxDsjIwNff/01Dh48iNTUVOTJx/b9z40bN6Q6NZF5u3lT2sTb31/8cF28mIl3CZldPZm/qzlbvIlIQmZRv6akFK+bOQBUqiTe370rjrkuiVu3gGvXgMGDtSvv6Ch+l4iJYeJNZkWyxHv48OGIiYnB4MGD4enpCZlMJtWpiCi/hATxarKUevQAZs4ELlwAAgKkPZcJM7t6Up5oc4w3EUnMLOrXkiTe8gv0d+6UPPE+eFCcW0aXsfMNGwKHD4tLlJri34ZIDckS7z179mDXrl1o1aqVVKcgooJyc8Urz2Fh0p6ndWvxw37lSmDhQmnPZcLMrp7M39WcLd5EJCGzqF+Tk4Hy5Yu3rzzxlq+EUhKHDwO1awP/W75NK4GBwKZN4oStNWuWPAaiMkCyWc0rVKiAisW9CkdExXP3LpCVBXh6Snsea2vgtdeA9evZalkCZldPclZzIiol+qhfIyMj0bRpUzg5OcHd3R29evXClStX9BShHty7V/wWbwcHoFy5kifegiDOaK5rT7sGDcTPgpiYkp2fqAyRLPGeNWsWvvjiCzx//lyqUxBRQfIxa1In3gDQuTPw4AHwxx/Sn8tEmV09yRZvIiol+qhfY2JiMHr0aPzzzz/Yv38/cnJyEBoaioyMDD1GWgIl6WoOiOO8S5p4X78uXvRv1Ei3/RwdgVq1gCNHSnZ+ojJEsq7m8+fPx/Xr11G5cmVUq1YN1gWWNjp9+rRUpyYyXwkJ4r02y3mUVM2aQI0awM8/A927S38+E2R29WT+5cTY4k1EEtJH/bp3716l31evXg13d3fExcWhbdu2eo1XZ9nZwMOHxVtKTM7NTRzjXRKHD4v1ecOGuu/bsKGYeHOcN5kJyRLvXr16SXVoItLkxg3xCrY+lgbRRseOwLp1wPPnYpc10ok+68mlS5fi22+/RXJyMgICAhAVFYU2bdqoLXvkyBF06NBBZfulS5dQp04dvcWkomBXc7Z4E5FEpPge+vTpUwAwjiFC9++LCWtJYnF1LXnifeSIOL7bwUH3fRs1An79VVyNpaQTvBGVAZIl3tOnT5fq0ESkyY0bpdPaLdeuHfD998Du3UC/fqV3XhOhr3py06ZNmDBhApYuXYpWrVphxYoVCAsLw8WLF+Hr66txvytXrsDZ2VnxeyX58jJS4RhvIiol+v4eKggCwsPD0bp1a9SvX19juczMTGRmZip+T0tL02scCikp4n1JEm83N+Dy5eLvLwhii3e7dsXbv2FDsaX7yBEm3mQWJBvjDQBPnjzBDz/8gIiICDx69AiA2LUnSR8zKBKRqmvXSjfx9vYWr3T/8kvpndPE6KOeXLBgAd5//30MHz4cdevWRVRUFHx8fLBs2bJC93N3d4eHh4fiZmlpWaLnUiSu401EpUif30PHjBmDc+fOYcOGDYWWi4yMhIuLi+Lm4+NTrNiLdPeueC+fnbw43NzEmdELrHGutWvXxP11Hd8tJx/nzQnWyExIlnifO3cOtWvXxty5czFv3jw8efIEALBt2zZERERIdVoi8yUIwMWLpX/VuG1bscX75cvSPa8J0Ec9mZWVhbi4OISGhiptDw0Nxd9//13ovo0bN4anpyc6deqEw4cPF1o2MzMTaWlpSjedcYw3EZUSfX4PHTt2LHbs2IHDhw+jSpUqhZaNiIjA06dPFbfExMTiPoXC3b0rXsQs7nJigDg0LTsbSE0t3v5Hjoh1eSE9AIrUsKE4K7ogFP8YRGWEZIl3eHg4hg4diqtXr8LOzk6xPSwsDEePHpXqtETmKzERePYMqFatdM/bqhWQkQEcPFi65zUB+qgnHzx4gNzcXFSuXFlpe+XKlZEi74pYgKenJ1auXIktW7Zg69at8Pf3R6dOnQo9p15acfLPas4x3kQkIX3Ur4IgYMyYMdi6dSsOHToEPy0ubNva2sLZ2VnpJom7d8Ux2iXpqST/3Lh9u3j7y9fvLs74brkmTcTvL9evF/8YRGWEZGO8T506hRUrVqhs9/b21vhlkIhK4N9/xfvSbvGuWhXw8QG2bwe6dSvdc5dx+qwnZQVmhBUEQWWbnL+/P/z9/RW/h4SEIDExEfPmzdM4U29ERATCw8MVv6elpemefBfsas4WbyKSiD7q19GjR2P9+vX47bff4OTkpNjPxcUF9vb2eo1XZ/LEuyTkQ9Nu3QKaNdNtX/n63Wom6tRJw4bixYNDh8TVUohMmGQt3nZ2dmq7Il65ckX6CXyIzNH58+LM4gVaPiUnkwEtWwK//Vb8cWJmSh/1pJubGywtLVW+SKampqq0ghemRYsWuHr1qsbH9dKKk7+ruYUFW7yJSDL6qF+XLVuGp0+fon379vD09FTcNm3apO9wdXf3bskmVgPEMdaOjuKs4rr67z/g3j2gceOSxeDgANSpw15zZBYkS7x79uyJmTNnIvt/LRoymQy3b9/G5MmT0bdvX6lOS2S+/v1XbO02xFqYLVuKS5ucOlX65y7D9FFP2tjYICgoCPv371favn//frRs2VLrWM6cOQNPT0/tgy8OtngTUSnRR/0qCILa29ChQyWMXEtJSSVv8ZbJxIv1xUm85et3l2R8t1yTJsCBA68+I4hMlGSJ97x583D//n24u7vjxYsXaNeuHWrWrAknJyfMmTNHqtMSma/z50t/fLdcQADg7Az8/rthzl9G6aueDA8Pxw8//IAff/wRly5dwsSJE3H79m2MHDkSgNhN/N1331WUj4qKwvbt23H16lVcuHABERER2LJlC8aMGaP356iEy4kRUSkx+e+hycklT7wBMfG+dUv3/Q4fFluqy5UreQxNmwKPHgGxsSU/FpERk2yMt7OzM/78808cPnwYcXFxyMvLQ5MmTfDaa69JdUoi8/X8OXDhAtC+vWHOb2kpjg/buROYNcswMZRB+qonBw4ciIcPH2LmzJlITk5G/fr1sXv3blStWhUAkJycjNv5Js/JysrCpEmTkJSUBHt7ewQEBGDXrl3o2rWrXp+fivyTq1lZcSZ8IpKMSX8PzckRZyLXV+J95Ypu++TliWOyX3+95OcHgHr1ACcnYO9eoHlz/RyTyAhJknjn5eUhOjoaW7duxc2bNyGTyeDn5wcPD49CJ/whomI6dUr8INZHl6/iCgkRk+47d4Aillsh/deTo0aNwqhRo9Q+Fh0drfT7p59+ik8//bS4oRdfweXEOMabiCRg8t9D790TJzfTR+Lt4QHs2yceT9vX5d9/gQcPSj6+W87SEggKEpcmnT5dP8ckMkJ672ouCALeeOMNDB8+HElJSWjQoAECAgJw69YtDB06FL1799b5mEuXLoWfnx/s7OwQFBSEY8eOaSx75MgRyGQyldvly5dL8rSIjNtff4kTpJT2jOb5NW0qdiHes8dwMZQRUtSTZQK7mhORxMyifr17V7x3cyv5sSpXFpcEffRI+30OHQJsbPR7sb95c7ER4d49/R2TyMjovcU7OjoaR48excGDB9GhwBIDhw4dQq9evbBmzRql8YaF2bRpEyZMmIClS5eiVatWWLFiBcLCwnDx4kX4+vpq3O/KlStKs+5yJnUyaX/+CdStW7L1PEvKyUn8EN69GxgxwnBxlAH6rifLjIKJN1u8iUjPzKJ+TUoS7/XV4g0ACQnaH+/gQXFuF1vbkp9fLiRE/Gz47Tfggw/0d1wiI6L3Fu8NGzZgypQpKpUdAHTs2BGTJ0/GunXrtD7eggUL8P7772P48OGoW7cuoqKi4OPjg2XLlhW6n7u7Ozw8PBQ3S0MmJERSyssDjh8XPwQNrVkzcWbSzExDR2LU9F1Plhn5u5pzVnMikoBZ1K+3b4stzuXLl/xY3t7ifSHLSSrJzgaOHBFnItcnFxdxTe8tW/R7XCIjovfE+9y5c+jSpYvGx8PCwnD27FmtjpWVlYW4uDiEhoYqbQ8NDcXff/9d6L6NGzeGp6cnOnXqhMOHD2t1PqIy6eRJ4MkT/X8IFkfz5kB6OlDIcBDSbz1ZprDFm4gkZhb1a2Ii4O4u1qUl5egotnRrOyTzn3/Ez/mmTUt+7oLatBFnS3/8WP/HJjICek+8Hz16hMqVK2t8vHLlynis5RvqwYMHyM3NVTle5cqVkZKSonYfT09PrFy5Elu2bMHWrVvh7++PTp064ejRoxrPk5mZibS0NKUbUZmxY4d4pbhePUNHAtSoIY454zjvQumznixTCs5qzhZvItIzs6hfExMBfQ6h9PXVPvHet0/8zlGzpv7OL9eundiL75df9H9sIiOg9zHeubm5sLLSfFhLS0vk6NjKUXD2ycJmpPT394e/v7/i95CQECQmJmLevHlo27at2n0iIyMxY8YMnWIiMho7dgAtWhh2fLecTCZ2N9+9G5g/39DRGC0p6skygS3eRCQxs6hfb93Sb+JdpYr2ifcff4g97KT4zlGxotiSHh0NfPih/o9PZGB6T7wFQcDQoUNhq2HChUwdxn66ubnB0tJSpXU7NTW10KuZBbVo0QJr167V+HhERATCw8MVv6elpcHHx0fr4xMZzNWr4vrd/fsbOpJXmjcXE++bN4Fq1QwdjVHSZz1ZpnCMNxFJzCzq18REoGNH/R3P1xfYv19sbS6s+/r9+0BsLPDJJ/o7d0GdO4tLk165AuRrSCMyBXpPvIcMGVJkGW1nkrSxsUFQUBD279+vtPzD/v370bNnT61jOnPmDDw9PTU+bmtrq7GCJjJq0dHi+KwWLQwdyStBQWJStXs3oGFdaXOnz3qyTGGLNxFJzOTr15wcIDlZvy3ePj7Ay5fipG2FXTDfu1dc77t5c/2du6DWrYEKFYAlS4DFi6U7D5EB6D3xXr16tV6PFx4ejsGDByM4OBghISFYuXIlbt++jZEjRwIQW6uTkpKwZs0aAEBUVBSqVauGgIAAZGVlYe3atdiyZQu2cJZEMjW5ucDq1eJVb2O6cOTgADRoAPz+OxNvDfRdT5YZXMebiCRm8vXr3btiy7QOPT+LJF+e9/LlwhPvXbuAOnXELuFSsbEBuncXGxZmzxbHkxOZCL0n3vo2cOBAPHz4EDNnzkRycjLq16+P3bt3o2rVqgCA5ORk3L59W1E+KysLkyZNQlJSEuzt7REQEIBdu3aha9euhnoKRNLYtUu86m2M/9stWogXBZ4/B8qVM3Q0ZCwKJt7y34mISDuJieK9Plu8K1cWL5rHxwOaZoTPzhZbvHv10t95NXnjDWDDBmDpUiAiQvrzEZUSo0+8AWDUqFEYpaHlLDo6Wun3Tz/9FJ9++mkpREVkYHPnii3LxjgGqnlzYNkycVmQbt0MHQ0Zi5wcMeGWyTjGm4ioOOSJt7u7/o5pYQHUri0uT6rJkSPA06dAy5b6O68mbm7id4dvvwVGjwacnaU/J1Ep0PtyYkRUCv78E/j7b2DgQENHop6vL+DtLXY3J5LLzX01cQ/HeBMR6S4hQUxEHRz0e9w6dYATJzQ/vnmz+Lleq5Z+z6vJoEFARgbwzTelcz6iUsDEm6isEQSx61WNGkBIiKGjUU8mE7ub79wpxksEiIm3fAkaKysx8eb/BxGR9q5fB7y89H/cunXF8eNJSaqP5eQAW7cCbdqIn++loVIlsXHh22+Ba9dK55xEEmPiTVTW7NoltngPH174sh+GFhIifoDHxxs6EjIWmZliwg28SsA5zpuISHvXrgGFrNRTbHXqiPenTqk+dvAg8OAB0K6d/s9bmLffFidyGzFCnFCOqIwz4m/tRKTixQtg3DigSRNpl/PQh4YNxaXOduwwdCRkLJ4/B+ztxZ/liTfHeRMRaU+qFu9KlcRJ1g4fVn3shx+A6tVLf04ZOztg0iRxfHlUVOmem0gCTLyJypLZs4E7d4Dx40uvu1dxWVsDzZoB27YZOhIyFs+fv1r6Tp54c5w3EZF2MjPFnmRStHgDQKtW4lju/K3LqanAb78BYWGG+d4RFAT07w989hnw11+lf34iPWLiTVRW/PMP8PXXwDvvvFpz09i1aQOcPStOBkP0/LnYggG86nLOFm8iIu3cvCnOi+HtLc3x27UTx3n/88+rbd99J14o7dxZmnNq44MPgHr1gN69+X2CyjQm3kRlwePHwFtviWOwBg0ydDTaa94csLFhqzeJXrxgizcRUXFdvy7eS9HVHAACAgBXV7FrOQAkJwMLFwL9+gEuLtKcUxtWVsCMGeL3iS5dxFZ4ojKIiTeRscvNFVu5Hz0Cpk17lbCUBfb2QHAw8Ouvho6EjEH+ruZs8SYi0s3162Ly6eYmzfEtLcWL+6tXAytXAr16iXW2MSxdWr48MHcu8PAh8Npr4mRvRGUME28iY/fpp8DevcCUKdKN65JShw5it7WbNw0dCRkax3gTERXff/+Jrd1SrmjSs6e4KsmHHwKXLolD3BwdpTufLry9xeXFkpJedYsnKkOYeBMZs6goYMECYNQo45/FXJNWrcRxvRs3GjoSMrSMDLZ4ExEV17//AlWrSnsOCwtxItf164F160p/JvOi+PmJ484fPgRatAAuXDB0RERaY+JNZKyio4GJE4E33wT69jV0NMVnbw+0bAn8/LM4KQyZr/yTq7HFm4hINxcuANWqSX8eCwuxh52Tk/TnKg5fX2DxYrHbfUgIsH27oSMi0goTbyJjtG4d8P77QPfu4myeZd3rrwMXLwInThg6EjIkdV3N2eJNRFS0+/fFm5+foSMxDpUqicl348bibOfjx4sTeBIZMSbeRMYmOhoYPFhMVidONP71urURHAx4eIiTtZD5Yos3EVHxyLtUl0aLd1lhbw98+SUwejSwfDkQGAgcPmzoqIg0YuJNZEyiooBhw4Bu3YBJk6SdQKU0WViIz2njRvGKPZknzmpORFQ8Fy6I9aZUa3iXVTKZuNzZihXihd2OHcUW8H//NXRkRCpM5Fs9URmXmwuEh4st3G+9Jf5sKkm3XI8e4n1UlEHDIANiizcRUfFcuCCObZZftCRl1aqJ3y+mTBGHtTVoIH7vOHAAyMszdHREAJh4Exnew4fiWO6FC4GxY8Ux3abQvbwgFxfxQ3DJErZ6m6sXL9jiTURUHKdOATVqGDoK42ZhAXTuDPz0k7gU68WL4u81awIzZgBXrxo6QjJzTLyJDOnAAaBRI+D4cSAyEujTx9ARSevNN8X78HDDxkGlLy9POfFmizcRkXZevADi44F69QwdSdlgbQ2EhQE//CA2atSuDXzzjXjfqBEwcyZw9ixXWqFSx8SbyBCuXhWT0M6dAXd3cWxSs2aGjkp6FSoAH30ErF0LLFtm6GioNL18Kd7Lu5qzxZuISDtnzogXKZl460YmAxo2BCZPBrZuFSdic3UVk/BGjcSu+x98APzyC5CaauhoyQxwoAhRacnLA44cERPOrVvFyv+zz4DQUNMbz12Y118Hrl0DRo0CDh4UZyFNSAAuX371+GefvUrQyDQ8fy7es8WbiEg3J06IdWf16oaOpOyytQXatRNvWVlii/eJE8C+fcD334tlatcGWrQQV2IJDBTHiVeoYNi4yaQw8SaS2o0b4nijn34Cbt0Sr7COHQt07QrY2Bg6utInk4lLf/j5Adu3ixcj3NzE1yU3F/jqK+C334BDh4Dy5Q0cLOmNPPEuOLkaW7yJiAr3zz+Avz8nVtMXGxugaVPxBojzzpw9K86EfuIEsGHDq88mDw8gIACoX1+8NWokJuTyi8hEOuA7mEgKWVliUrlsmZhYOjiIV1k//lisuE1x8jRdyGTi8mLduqk+9t9/4us0eLCYgJtTbwBTVrDF28FB/Ns+fGi4mIiIjF1ennghOjTU0JGYrkqVgNdeE2+A2BMrMVHsjXfzpnjbtg1YvFj8e1hbiwl427ZA+/bivbOz4eKnMoOJN5E+paYCy5cDS5cC9+6JY4siIsRKmV2ntVO7trgcyJQpQHQ08N57ho6I9KFgi7eVldjT4eZNg4VERGT0YmOBBw+A5s0NHYn5sLISe+X5+Slvf/lS7MV4+bK4vNvPPwPz54s9uFq0EIfKvf46EBT0qlcXUT5MvIn04eJFsfJdt05szQ0NBXr1Uq20STshIeKV508/BXr35hgrU1CwxRsAKlcWh18QEZF6u3cDTk5id2cyLDs7cYK7evXEVWgEAbh7F4iLE5d7mzsX+OILcZhcx45ia3jr1mLXdA4TIDDxJio+QRC7kX/7LbBnj9hVacgQsfs0uxyV3MiRwLvvAnPmAPPmGToaKilNiXdCgmHiISIqC37/XZzsiy2oxkcmA7y9xdsbb4hd1C9dEnspxMcDO3eKY8Xt7MTku0EDoE4dcT32atXE/SpV4pA6M8LEm0hX6eni0hOLF4sVa40a4lIVHTuK435IP1xdgQEDxNd5zBjxQ4rKroJdzQEx8Y6JMUw8RETG7sIFsTV1+nRDR0LasLJ6lWADQGamOG/N5cviai5//QVs3Pjq8xAQL6i4u4ufhx4e4s3TE6hSBahaVZzJvnp1TuZmIph4E+Xmil2FHjwQJ0Wztgbs7YFy5cQK8eVL8fHz54HDh4G9e8VKs3lzcS3I4GBOliaVAQPEK8YREeIso1R2qWvx9vAQ31vZ2bxoRURU0IoVQMWKQKtWho6EisPWVjkRB8Tekk+fivMA3b8vTjD66BHw+DHw5InYZf3RI/Ex+XKbFhZi8l2/vjh3UMOG4jFr1GBPiDKGiTeZn9xccbmI3bvFmULj44EXL4rez8pK7CL01ltAp05i0kDSsrcHhg8Xx02NHi2OlaKySZ54519Cr3JlcYbYO3c4HwIRUX6PH4vLkHbvzguTpkQmE8eAly8vLhGnSW6umIAnJYkzrN++LQ7NOnpU3A6IPchq1xaPI+++7uMjtph7eIgTmPJ/x6iUicR76dKl+Pbbb5GcnIyAgABERUWhTZs2GsvHxMQgPDwcFy5cgJeXFz799FOMHDmyFCMmoyII4szJR48CBw6ICfejR4CLC9C4MTB0qLiGdIUKYgWVkyN2D3r5UtzX2lp8zMvLPNfdNrTQUGDHDmDECODMGc4Or4HR15PPn4t/u/xj2SpXFu9v3WLiTURGS9f6VS9mzBC/j/TpI+15yDhZWorjvytVEpcuy+/RIzEJT0gQPz+vXQOOHRNX1snLUy7r4iIm4PJjubmJQ/lcXcXeFOXLi2UcHcWennZ2Yku9jY34/Vd+k/+u7/Ho2dli635qqnh7+FBs+U9PF3uhAmJMFSqIFxSqVxcvMpTRyeqMPupNmzZhwoQJWLp0KVq1aoUVK1YgLCwMFy9ehK+vr0r5hIQEdO3aFSNGjMDatWvx119/YdSoUahUqRL69u1rgGdApSo7G7h6FTh3TrydOfNqKQ6ZDKhVCwgLE5d9qFuXXXTKAgsL4JNPgA8/FO8XLzZ0REanTNST8sQ7P3ninZAgzv5KRGRkdK1f9eKvv4AlS8TlNF1dpTkHlV0VK4q3oCDl7fJW8ocPxR4Tjx+L3drltwcPxOXQnj4F0tKAZ8/EBiZdWFm9Ss7LlRNvDg6vbvb24uM2NmJZmUy8GJCVJfYuTU8XE+uHD8V4njxRPYelpXgca2sxvqws5XHxtrZAYKA4BKNjR6BdO3Hm/zJAJgi6vuKlq3nz5mjSpAmWLVum2Fa3bl306tULkZGRKuU/++wz7NixA5cuXVJsGzlyJM6ePYvjx49rdc60tDS4uLjg6dOncObs1NLIyxPfgC9fislybq7yLTtbfKO9fCneXrwQ33T5b/I374MHYlcc+ZU/+ZiYSpXEq2K1aolJdkAAZxsvy377DYiKEmc5j4jQeVy9Kb+vy0Q9+cUXwMqV4sQy+Y0aJb7fY2PFq+5EZDCmXE8Wl671a0E6v6axseJa0L6+4jwy7CpMUsnLe/WdWv6dPCtLvOXkvLrl5or32dmveoVmZb3qHfry5aufMzNflcvNFRNnCwsxCbexEZNyBwfx+7i8tb1CBfEm/93OTvU7Xnb2q6738rXU//1XHCtvZQW0bCk2rIWGij0EJJ4pvrh1pVG3eGdlZSEuLg6TJ09W2h4aGoq///5b7T7Hjx9HaGio0rbXX38dq1atQnZ2NqwNVYE9fy52oXjyRPzHlMnEfzxX19IdgyEI4j+v/E0mf6PJ30TyN5L8Xt0bSd6NRSYTr0pZWor/4PKrWpmZQEaGeCXt8WPxqtb9++Ib5tEj8SpbRkbxn4NMJr4p7e3FrjHOzuIbtkkTcTmHqlXFcS78Em9aevYU/5+mThUnH5kxQ5xcxMwntisz9eTz5+pnZZ06VVw6rlUrceZef3+xO5mbm9n/bYnIsIpTv5ZIbKyYQNSsKX7GMekmKVlYiN+jHR0NHUnRrK3FXnKVK4vf94FX66ifOiXeZs4UG2bKlwfatAGaNROHlNatK17IMoLu6YaPoBAPHjxAbm4uKsu7I/5P5cqVkZKSonaflJQUteVzcnLw4MEDeHp6quyTmZmJzMxMxe9Pnz4FIF7N0MrevcDAgdqVJZGV1asxJBYWygm8/Hf5uBJb21f38p/VfSHPyACuXBFvZLrKlwe2bxdvgLgMx+HD4tIbhZC/n428k4/Oykw9+fy5eOHk229VH/P1FZfNGTBAu2MRkW6qVgU2bxYnYiqEqdaTxVWc+rVEdeWJE2IjR5Uq4ozmRKQdebJ95YrY+3XnTvGmq507gbZtiyxW3LrSqBNvOVmBJEsQBJVtRZVXt10uMjISM2bMUNnu4+Oja6ikLXn3lZK0fBMBYk+SgACtiz979gwuJtgboszUk7t361aeiEru1i2gaVOti5tqPVlcutSveqkr9+/XKT4i0pMePXQqrmtdadSJt5ubGywtLVWuKqampqpcfZTz8PBQW97KygquGiaoiIiIQHh4uOL3vLw8PHr0CK6uroV+cS2OtLQ0+Pj4IDExsUyPn+LzMC58HkUTBAHPnj2Dl5eXXo9raGWtnjSV/1VN+PzKNnN/fqZaTxZXcerX0vxOWRhT/182RnzNS5chX+/i1pVGnXjb2NggKCgI+/fvR+/evRXb9+/fj549e6rdJyQkBDsLdC3Yt28fgoODNY5btLW1hW2BsYfly5cvWfBFcHZ2Nok3JZ+HceHzKJwptuCU1XrSVP5XNeHzK9vM+fmZYj1ZXMWpXw3xnbIwpv6/bIz4mpcuQ73exakrpZ3yTQ/Cw8Pxww8/4Mcff8SlS5cwceJE3L59W7HebEREBN59911F+ZEjR+LWrVsIDw/HpUuX8OOPP2LVqlWYNGmSoZ4CEZGkWE8SEUmjqPqViEhbRt3iDQADBw7Ew4cPMXPmTCQnJ6N+/frYvXs3qlatCgBITk7G7du3FeX9/Pywe/duTJw4Ef/3f/8HLy8vLFq0iGt4E5HJYj1JRCSNoupXIiJtGX3iDQCjRo3CqFGj1D4WHR2tsq1du3Y4ffq0xFEVj62tLaZPn67SDams4fMwLnweVFbqSVP/G/P5lW18fqROYfWrseLfuvTxNS9dZfH1lglcM4KIiIiIiIhIMkY/xpuIiIiIiIioLGPiTURERERERCQhJt5EREREREREEmLiTURERERERCQhJt6l5OjRo+jRowe8vLwgk8mwfft2Q4dULJGRkWjatCmcnJzg7u6OXr164cqVK4YOS2fLli1Dw4YN4ezsDGdnZ4SEhGDPnj2GDqvEIiMjIZPJMGHCBEOHopMvv/wSMplM6ebh4WHosEgCS5cuhZ+fH+zs7BAUFIRjx44ZOiS9MJW6URtltZ4pSlJSEt555x24urqiXLlyaNSoEeLi4gwdll7k5ORg2rRp8PPzg729PapXr46ZM2ciLy/P0KGRREy1rtWnor57CIKAL7/8El5eXrC3t0f79u1x4cIFpWNkZmZi7NixcHNzg4ODA9544w3cuXNHqczjx48xePBguLi4wMXFBYMHD8aTJ0+Uyty+fRs9evSAg4MD3NzcMG7cOGRlZUn23EtDUbmPsb2+58+fR7t27WBvbw9vb2/MnDkT+p6DnIl3KcnIyEBgYCCWLFli6FBKJCYmBqNHj8Y///yD/fv3IycnB6GhocjIyDB0aDqpUqUKvv76a8TGxiI2NhYdO3ZEz549Vd7wZcmpU6ewcuVKNGzY0NChFEtAQACSk5MVt/Pnzxs6JNKzTZs2YcKECZg6dSrOnDmDNm3aICwsTGmN8bLKVOrGopT1ekaTx48fo1WrVrC2tsaePXtw8eJFzJ8/H+XLlzd0aHoxd+5cLF++HEuWLMGlS5fwzTff4Ntvv8XixYsNHRpJwJTrWn0r7LvHN998gwULFmDJkiU4deoUPDw80LlzZzx79kxRZsKECdi2bRs2btyIP//8E+np6ejevTtyc3MVZd5++23Ex8dj79692Lt3L+Lj4zF48GDF47m5uejWrRsyMjLw559/YuPGjdiyZQs+/vjj0nkRJFJU7mNMr29aWho6d+4MLy8vnDp1CosXL8a8efOwYMEC/b4oApU6AMK2bdsMHYZepKamCgCEmJgYQ4dSYhUqVBB++OEHQ4dRLM+ePRNq1aol7N+/X2jXrp0wfvx4Q4ekk+nTpwuBgYGGDoMk1qxZM2HkyJFK2+rUqSNMnjzZQBFJx5TqRrmyXs8U5rPPPhNat25t6DAk061bN+G9995T2tanTx/hnXfeMVBEJCVzqmtLorDvHnl5eYKHh4fw9ddfK7a9fPlScHFxEZYvXy4IgiA8efJEsLa2FjZu3Kgok5SUJFhYWAh79+4VBEEQLl68KAAQ/vnnH0WZ48ePCwCEy5cvC4IgCLt37xYsLCyEpKQkRZkNGzYItra2wtOnT/X2fA2pYO5jbK/v0qVLBRcXF+Hly5eKMpGRkYKXl5eQl5ent9eBLd5UIk+fPgUAVKxY0cCRFF9ubi42btyIjIwMhISEGDqcYhk9ejS6deuG1157zdChFNvVq1fh5eUFPz8/vPnmm7hx44ahQyI9ysrKQlxcHEJDQ5W2h4aG4u+//zZQVNIxhbqxIFOoZzTZsWMHgoOD0b9/f7i7u6Nx48b4/vvvDR2W3rRu3RoHDx7Ef//9BwA4e/Ys/vzzT3Tt2tXAkZG+mVtdW1KavnskJCQgJSVF6XW0tbVFu3btFK9jXFwcsrOzlcp4eXmhfv36ijLHjx+Hi4sLmjdvrijTokULuLi4KJWpX78+vLy8FGVef/11ZGZmmsxwl4KM7fU9fvw42rVrB1tbW6Uyd+/exc2bN/X2vK30diQyO4IgIDw8HK1bt0b9+vUNHY7Ozp8/j5CQELx8+RKOjo7Ytm0b6tWrZ+iwdLZx40acPn0ap06dMnQoxda8eXOsWbMGtWvXxr179zB79my0bNkSFy5cgKurq6HDIz148OABcnNzUblyZaXtlStXRkpKioGikkZZrxvVMYV6pjA3btzAsmXLEB4ejilTpuDkyZMYN24cbG1t8e677xo6vBL77LPP8PTpU9SpUweWlpbIzc3FnDlz8NZbbxk6NNIzc6prS6qw7x7y10rd63jr1i0AQEpKCmxsbFChQgWVMvL9U1JS4O7urnJud3d3pTIFz1OhQgXY2NiY7N/M2F7flJQUVKtWTeU88sf8/PyK8zRVMPGmYhszZgzOnTuHP//809ChFIu/vz/i4+Px5MkTbNmyBUOGDEFMTEyZSr4TExMxfvx47Nu3D3Z2doYOp9jCwsIUPzdo0AAhISGoUaMGfvrpJ4SHhxswMtI3mUym9LsgCCrbyrqyXjcWZCr1TGHy8vIQHByMr776CgDQuHFjXLhwAcuWLTOJxHvTpk1Yu3Yt1q9fj4CAAMTHx2PChAnw8vLCkCFDDB0eScAc6tqSKuy7R4sWLQAU73UsWEZd+eKUMUXG9Pqqi0XTvsXFruZULGPHjsWOHTtw+PBhVKlSxdDhFIuNjQ1q1qyJ4OBgREZGIjAwEAsXLjR0WDqJi4tDamoqgoKCYGVlBSsrK8TExGDRokWwsrJSmnyiLHFwcECDBg1w9epVQ4dCeuLm5gZLS0uVq/epqakqV6LLMlOoGwsy1XomP09PT5WLrnXr1jWZyag++eQTTJ48GW+++SYaNGiAwYMHY+LEiYiMjDR0aKRn5lLXSiH/dw/57OaFvY4eHh7IysrC48ePCy1z7949lXPdv39fqUzB8zx+/BjZ2dkm+zczttdXXZnU1FQAqq3yJcHEm3QiCALGjBmDrVu34tChQ3rremEMBEFAZmamocPQSadOnXD+/HnEx8crbsHBwRg0aBDi4+NhaWlp6BCLJTMzE5cuXYKnp6ehQyE9sbGxQVBQEPbv36+0ff/+/WjZsqWBotIfU64bTbWeya9Vq1Yqy7/9999/qFq1qoEi0q/nz5/DwkL5K5+lpSWXEzNBpl7XSin/dw8/Pz94eHgovY5ZWVmIiYlRvI5BQUGwtrZWKpOcnIx///1XUSYkJARPnz7FyZMnFWVOnDiBp0+fKpX5999/kZycrCizb98+2NraIigoSNLnbCjG9vqGhITg6NGjSkuM7du3D15eXipd0EtEb9O0UaGePXsmnDlzRjhz5owAQFiwYIFw5swZ4datW4YOTScfffSR4OLiIhw5ckRITk5W3J4/f27o0HQSEREhHD16VEhISBDOnTsnTJkyRbCwsBD27dtn6NBKrCzONvzxxx8LR44cEW7cuCH8888/Qvfu3QUnJyfh5s2bhg6N9Gjjxo2CtbW1sGrVKuHixYvChAkTBAcHB5P4O5tK3aitsljPFObkyZOClZWVMGfOHOHq1avCunXrhHLlyglr1641dGh6MWTIEMHb21v4/fffhYSEBGHr1q2Cm5ub8Omnnxo6NJKAKde1+lTUd4+vv/5acHFxEbZu3SqcP39eeOuttwRPT08hLS1NcYyRI0cKVapUEQ4cOCCcPn1a6NixoxAYGCjk5OQoynTp0kVo2LChcPz4ceH48eNCgwYNhO7duysez8nJEerXry906tRJOH36tHDgwAGhSpUqwpgxY0rvxZBAUbmPMb2+T548ESpXriy89dZbwvnz54WtW7cKzs7Owrx58/T6mjDxLiWHDx8WAKjchgwZYujQdKLuOQAQVq9ebejQdPLee+8JVatWFWxsbIRKlSoJnTp1MomkWxDK5hfigQMHCp6enoK1tbXg5eUl9OnTR7hw4YKhwyIJ/N///Z/ivdekSROTWW7LVOpGbZXFeqYoO3fuFOrXry/Y2toKderUEVauXGnokPQmLS1NGD9+vODr6yvY2dkJ1atXF6ZOnSpkZmYaOjSSiKnWtfpU1HePvLw8Yfr06YKHh4dga2srtG3bVjh//rzSMV68eCGMGTNGqFixomBvby90795duH37tlKZhw8fCoMGDRKcnJwEJycnYdCgQcLjx4+Vyty6dUvo1q2bYG9vL1SsWFEYM2aM0tJWZVFRuY+xvb7nzp0T2rRpI9ja2goeHh7Cl19+qdelxARBEGSC8L+R40RERERERESkdxzjTURERERERCQhJt5EREREREREEmLiTURERERERCQhJt5EREREREREEmLiTURERERERCQhJt5EREREREREEmLiTURERERERCQhJt5EAG7evAmZTIb4+HhDh0JEZDSqVauGqKgoQ4dB+Rw9ehQ9evSAl5cXZDIZtm/frtP+X375JWQymcrNwcFBmoCJTFRx3n9k3ph4U5kydOhQxZcEKysr+Pr64qOPPsLjx491OkavXr2Utvn4+CA5ORn169fXc8RERNLQR31YlFOnTuGDDz7Q2/Go5DIyMhAYGIglS5YUa/9JkyYhOTlZ6VavXj30799fz5ESlW2pqan48MMP4evrC1tbW3h4eOD111/H8ePHAQDJyckICwszcJRUllgZOgAiXXXp0gWrV69GTk4OLl68iPfeew9PnjzBhg0bin1MS0tLeHh46DFKIiLpSVEf5lepUiW9HIf0JywsrNAv+1lZWZg2bRrWrVuHJ0+eoH79+pg7dy7at28PAHB0dISjo6Oi/NmzZ3Hx4kUsX75c6tCJypS+ffsiOzsbP/30E6pXr4579+7h4MGDePToEQDweyPpjC3eVObIrzpWqVIFoaGhGDhwIPbt2wcAyM3Nxfvvvw8/Pz/Y29vD398fCxcuVOz75Zdf4qeffsJvv/2maCk6cuSISlfzI0eOQCaT4eDBgwgODka5cuXQsmVLXLlyRSmW2bNnw93dHU5OThg+fDgmT56MRo0aldZLQURmrrD6EABWr16NunXrws7ODnXq1MHSpUsVj4WEhGDy5MlKx7t//z6sra1x+PBhAKpdzZ8+fYoPPvgA7u7ucHZ2RseOHXH27FnFY5aWloiLiwMACIKAihUromnTpor9N2zYAE9PTwBigjhmzBh4enrCzs4O1apVQ2RkpH5fIDM0bNgw/PXXX9i4cSPOnTuH/v37o0uXLrh69ara8j/88ANq166NNm3alHKkRMbryZMn+PPPPzF37lx06NABVatWRbNmzRAREYFu3boBUO5qrmkIR3R0NACxPvzmm29QvXp12NvbIzAwEJs3bzbQsyNDYeJNZdqNGzewd+9eWFtbAwDy8vJQpUoV/PLLL7h48SK++OILTJkyBb/88gsAsYvdgAED0KVLF0UXu5YtW2o8/tSpUzF//nzExsbCysoK7733nuKxdevWYc6cOZg7dy7i4uLg6+uLZcuWSfuEiYg0KFgffv/995g6dSrmzJmDS5cu4auvvsLnn3+On376CQAwaNAgbNiwAYIgKI6xadMmVK5cGe3atVM5viAI6NatG1JSUrB7927ExcWhSZMm6NSpEx49egQXFxc0atQIR44cAQCcO3dOcZ+WlgZAvKgpP/aiRYuwY8cO/PLLL7hy5QrWrl2LatWqSfXymIXr169jw4YN+PXXX9GmTRvUqFEDkyZNQuvWrbF69WqV8pmZmVi3bh3ef/99A0RLZLzkPUO2b9+OzMzMIssXHMIxb948lCtXDsHBwQCAadOmYfXq1Vi2bBkuXLiAiRMn4p133kFMTIzUT4WMiUBUhgwZMkSwtLQUHBwcBDs7OwGAAEBYsGCBxn1GjRol9O3bV+kYPXv2VCqTkJAgABDOnDkjCIIgHD58WAAgHDhwQFFm165dAgDhxYsXgiAIQvPmzYXRo0crHadVq1ZCYGBgyZ4kEZEWiqoPfXx8hPXr1yvtM2vWLCEkJEQQBEFITU0VrKyshKNHjyoeDwkJET755BPF71WrVhW+++47QRAE4eDBg4Kzs7Pw8uVLpWPWqFFDWLFihSAIghAeHi50795dEARBiIqKEvr16yc0adJE2LVrlyAIglC7dm1h2bJlgiAIwtixY4WOHTsKeXl5+npJzA4AYdu2bYrff/nlFwGA4ODgoHSzsrISBgwYoLL/+vXrBSsrKyE5ObkUoyYqGzZv3ixUqFBBsLOzE1q2bClEREQIZ8+eVTxe8P0nd/z4ccHOzk7YtGmTIAiCkJ6eLtjZ2Ql///23Urn3339feOuttyR9DmRcOMabypwOHTpg2bJleP78OX744Qf8999/GDt2rOLx5cuX44cffsCtW7fw4sULZGVlFbv7d8OGDRU/y7tHpqamwtfXF1euXMGoUaOUyjdr1gyHDh0q1rmIiHSlqT68f/8+EhMT8f7772PEiBGK8jk5OXBxcQEgjt/u3Lkz1q1bhzZt2iAhIQHHjx/X2HMnLi4O6enpcHV1Vdr+4sULXL9+HQDQvn17rFq1Cnl5eYiJiUGnTp3g6+uLmJgYNGnSBP/995+ixXvo0KHo3Lkz/P390aVLF3Tv3h2hoaFSvExmIy8vT9Hd39LSUumx/OO65X744Qd0796dY1WJ1Ojbty+6deuGY8eO4fjx49i7dy+++eYb/PDDDxg6dKjafW7fvo1evXopelgCwMWLF/Hy5Ut07txZqWxWVhYaN24s9dMgI8LEm8ocBwcH1KxZE4DYVbFDhw6YMWMGZs2ahV9++QUTJ07E/PnzERISAicnJ3z77bc4ceJEsc4l77IJiGN5APGLTcFtckK+LptERFLTVB+OGTMGgNjdvHnz5kr75E/IBg0ahPHjx2Px4sVYv349AgICEBgYqPZceXl58PT0VHQlz698+fIAgLZt2+LZs2c4ffo0jh07hlmzZsHHxwdfffUVGjVqBHd3d9StWxcA0KRJEyQkJGDPnj04cOAABgwYgNdee43jHkugcePGyM3NRWpqapFjthMSEnD48GHs2LGjlKIjKnvs7OzQuXNndO7cGV988QWGDx+O6dOnq028MzIy8MYbbyAkJAQzZ85UbJd/b9y1axe8vb2V9rG1tZU0fjIuTLypzJs+fTrCwsLw0Ucf4dixY2jZsqVSS7S8JUbOxsYGubm5JT6vv78/Tp48icGDByu2xcbGlvi4RETFlb8+9Pb2xo0bNzBo0CCN5Xv16oUPP/wQe/fuxfr165Xqs4KaNGmClJQUWFlZaRyLLR/nvWTJEshkMtSrVw9eXl44c+YMfv/9d5Wx487Ozhg4cCAGDhyIfv36oUuXLnj06BEqVqxYrOdvDtLT03Ht2jXF7wkJCYiPj0fFihVRu3ZtDBo0CO+++y7mz5+Pxo0b48GDBzh06BAaNGiArl27Kvb78ccf4enpyeWQiHRQr149tWt3C4KAd955B3l5efj555+VGmbq1asHW1tb3L59W+38GWQ+mHhTmde+fXsEBATgq6++Qq1atbBmzRr88ccf8PPzw88//4xTp07Bz89PUb5atWr4448/cOXKFbi6uiq6Xepq7NixGDFiBIKDg9GyZUts2rQJ586dQ/Xq1fX11IiIdJK/Pvzyyy8xbtw4ODs7IywsDJmZmYiNjcXjx48RHh4OQGwx79mzJz7//HNcunQJb7/9tsZjv/baawgJCUGvXr0wd+5c+Pv74+7du9i9ezd69eqlmESoffv2WLhwIXr37g2ZTIYKFSqgXr162LRpExYtWqQ43nfffQdPT080atQIFhYW+PXXX+Hh4aFoPSf1YmNj0aFDB8Xv8r/lkCFDEB0djdWrV2P27Nn4+OOPkZSUBFdXV4SEhCgl3Xl5eYiOjsbQoUNVuqQTEfDw4UP0798f7733Hho2bAgnJyfExsbim2++Qc+ePVXKf/nllzhw4AD27duH9PR0pKenAxAvRjo5OWHSpEmYOHEi8vLy0Lp1a6SlpeHvv/+Go6MjhgwZUtpPjwyEiTeZhPDwcAwbNgz//fcf4uPjMXDgQMhkMrz11lsYNWoU9uzZoyg7YsQIHDlyBMHBwUhPT8fhw4eLNZPuoEGDcOPGDUyaNAkvX77EgAEDMHToUJw8eVKPz4yISDfy+vDatWv44Ycf8O233+LTTz+Fg4MDGjRogAkTJiiVHzRoELp164a2bdvC19dX43FlMhl2796NqVOn4r333sP9+/fh4eGBtm3bonLlyopyHTp0wIIFCxTrRgNAu3btEB8fr9Ta4+joiLlz5+Lq1auwtLRE06ZNsXv3blhYcMGVwrRv377QYU3W1taYMWMGZsyYobGMhYUFEhMTpQiPyCQ4OjqiefPm+O6773D9+nVkZ2fDx8cHI0aMwJQpU1TKx8TEID09XWWlnNWrV2Po0KGYNWsW3N3dERkZiRs3bqB8+fJo0qSJ2mOR6ZIJHJRKpDedO3eGh4cHfv75Z0OHQkRERERERoIt3kTF9Pz5cyxfvhyvv/46LC0tsWHDBhw4cAD79+83dGhERERERGRE2OJNVEwvXrxAjx49cPr0aWRmZsLf3x/Tpk1Dnz59DB0aEREREREZESbeRERERERERBLiDCZEREREREREEmLiTURERERERCQhJt5EREREREREEmLiTURERERERCQhJt5EREREREREEmLiTURERERERCQhJt5EREREREREEmLiTURERERERCQhJt5EREREREREEmLiTURERERERCQhJt5EREREREREEmLiTURERERERCQhJt5EREREREREEmLiTURERERERCQhJt5EREREREREEmLiXYSjR4+iR48e8PLygkwmw/bt2yU9X05ODqZNmwY/Pz/Y29ujevXqmDlzJvLy8iQ9LxEREREREUnDytABGLuMjAwEBgZi2LBh6Nu3r+Tnmzt3LpYvX46ffvoJAQEBiI2NxbBhw+Di4oLx48dLfn4iIiIiIiLSLybeRQgLC0NYWJjGx7OysjBt2jSsW7cOT548Qf369TF37ly0b9++WOc7fvw4evbsiW7dugEAqlWrhg0bNiA2NrZYxyMiIiIiIiLDYlfzEho2bBj++usvbNy4EefOnUP//v3RpUsXXL16tVjHa926NQ4ePIj//vsPAHD27Fn8+eef6Nq1qz7DJiIiIiIiolLCFu8SuH79OjZs2IA7d+7Ay8sLADBp0iTs3bsXq1evxldffaXzMT/77DM8ffoUderUgaWlJXJzczFnzhy89dZb+g6fiIiIiIiISgET7xI4ffo0BEFA7dq1lbZnZmbC1dUVAHDz5k34+fkVepzRo0djyZIlAIBNmzZh7dq1WL9+PQICAhAfH48JEybAy8sLQ4YMkeaJEBERERERkWSYeJdAXl4eLC0tERcXB0tLS6XHHB0dAQDe3t64dOlSocepUKGC4udPPvkEkydPxptvvgkAaNCgAW7duoXIyEgm3kRERERERGUQE+8SaNy4MXJzc5Gamoo2bdqoLWNtbY06depofcznz5/DwkJ56L2lpSWXEyMiIiIiIiqjmHgXIT09HdeuXVP8npCQgPj4eFSsWBG1a9fGoEGD8O6772L+/Plo3LgxHjx4gEOHDqFBgwbFmhCtR48emDNnDnx9fREQEIAzZ85gwYIFeO+99/T5tIiIiIiIiKiUyARBEAwdhDE7cuQIOnTooLJ9yJAhiI6ORnZ2NmbPno01a9YgKSkJrq6uCAkJwYwZM9CgQQOdz/fs2TN8/vnn2LZtG1JTU+Hl5YW33noLX3zxBWxsbPTxlIiIiIiIiKgUMfEmIiIiIiIikhDX8SYiIiIiIiKSEBNvIiIiIiIiIglxcjU18vLycPfuXTg5OUEmkxk6HCLSA0EQ8OzZM3h5eamsHEC6Yz1JZHpYT+of60oi01PcupKJtxp3796Fj4+PocMgIgkkJiaiSpUqhg6jzGM9SWS6WE/qD+tKItOla13JxFsNJycnAOKL6ezsbOBoiEgf0tLS4OPjo3h/U8mwniQyPawn9Y91JZHpKW5dycRbDXlXIGdnZ1aSRCaGXf30g/UkkeliPak/rCuJTJeudSUH8BARERERERFJiIk3ERERERERkYSYeEvpxg1AEAwdBRGRcbp5k3UkEWll6dKl8PPzg52dHYKCgnDs2LFCy8fExCAoKAh2dnaoXr06li9frlJmy5YtqFevHmxtbVGvXj1s27ZN6fFly5ahYcOGim7iISEh2LNnj16fFxHpSXY2cOeOoaMoFBNvqdy7B9SqBfz5p6EjISIyPs+eAf7+wL59ho6EiIzcpk2bMGHCBEydOhVnzpxBmzZtEBYWhtu3b6stn5CQgK5du6JNmzY4c+YMpkyZgnHjxmHLli2KMsePH8fAgQMxePBgnD17FoMHD8aAAQNw4sQJRZkqVarg66+/RmxsLGJjY9GxY0f07NkTFy5ckPw5E5GOvvkGqF4dyPc+NzYmn3hHRkZCJpNhwoQJpXvi+/eBvDxAw4cCEZFZe/IEyMoS60oiokIsWLAA77//PoYPH466desiKioKPj4+WLZsmdryy5cvh6+vL6KiolC3bl0MHz4c7733HubNm6coExUVhc6dOyMiIgJ16tRBREQEOnXqhKioKEWZHj16oGvXrqhduzZq166NOXPmwNHREf/884/UT5mIdPX774BMBrz1FpCWZuho1DLpxPvUqVNYuXIlGjZsWPonf/ZMvH/4sPTPTURk7NLTxfuXLw0bBxEZtaysLMTFxSE0NFRpe2hoKP7++2+1+xw/flyl/Ouvv47Y2FhkZ2cXWkbTMXNzc7Fx40ZkZGQgJCREY7yZmZlIS0tTuhGRxJ4+BU6dAsLCxC7nRtorxWQT7/T0dAwaNAjff/89KlSoUPoByCvaR49K/9xERMaOiTcRaeHBgwfIzc1F5cqVlbZXrlwZKSkpavdJSUlRWz4nJwcPHjwotEzBY54/fx6Ojo6wtbXFyJEjsW3bNtSrV09jvJGRkXBxcVHcfHx8tH6uRFRMhw8DublA796AhQUT79I2evRodOvWDa+99lqRZSW5OskWbyIizTIyxPsXLwwbBxGVCQXXyxUEodA1dNWVL7hdm2P6+/sjPj4e//zzDz766CMMGTIEFy9e1HjeiIgIPH36VHFLTEws/IkRUckdOQJ4ewNVqwJeXkabeFsZOgApbNy4EadPn8apU6e0Kh8ZGYkZM2boNwgm3kREmrHFm4i04ObmBktLS5WW6NTUVJUWazkPDw+15a2srODq6lpomYLHtLGxQc2aNQEAwcHBOHXqFBYuXIgVK1aoPbetrS1sbW21f4JEVHKXLwPVqok/V60K/PuvQcPRxORavBMTEzF+/HisXbsWdnZ2Wu0jydVJeeL9vy5NRESUjzzxZos3ERXCxsYGQUFB2L9/v9L2/fv3o2XLlmr3CQkJUSm/b98+BAcHw9rautAymo4pJwgCMjMzdX0aRCSl69fFlm5ATMDZ4l064uLikJqaiqCgIMW23NxcHD16FEuWLEFmZiYsLS2V9pHk6iRbvImINJN3NWeLNxEVITw8HIMHD0ZwcDBCQkKwcuVK3L59GyNHjgQgNqAkJSVhzZo1AICRI0diyZIlCA8Px4gRI3D8+HGsWrUKGzZsUBxz/PjxaNu2LebOnYuePXvit99+w4EDB/BnvmVgp0yZgrCwMPj4+ODZs2fYuHEjjhw5gr1795buC0BEmuXmArduAV27ir9XqwYkJ4urp5Qvb8DAVJlc4t2pUyecP39eaduwYcNQp04dfPbZZypJt2SYeBMRacau5kSkpYEDB+Lhw4eYOXMmkpOTUb9+fezevRtVq1YFACQnJyut6e3n54fdu3dj4sSJ+L//+z94eXlh0aJF6Nu3r6JMy5YtsXHjRkybNg2ff/45atSogU2bNqF58+aKMvfu3cPgwYORnJwMFxcXNGzYEHv37kXnzp1L78kTUeESE8WZzL29xd/lExpeuwYEBxsuLjVMLvF2cnJC/fr1lbY5ODjA1dVVZbuk5Ik3ZzUnIlLFruZEpINRo0Zh1KhRah+Ljo5W2dauXTucPn260GP269cP/fr10/j4qlWrdIqRiAzg+nXxXt7V/H/zOEDDqgeGZHJjvI2GPPF+9ky8CkNERK+wqzkRERGV1PXr4hJi8okRK1QAZDKxu7mRMbkWb3WOHDlS+id99kz8owuC2OqtYeZNIiKzxK7mREREVFLXr4t51v8mToSlpZh8s8XbjKSlAW5u4s8c501EpIzreBMREVFJ3bjxqpu5XMWKRtnizcRbKmlpgIeH+DMTbyIiZRzjTURERCV16xZQqZLytooV2eJtVp49e5V4c4I1IiJlTLyJiIiopJKSVBPvChWAu3cNE08hmHhL5dkzwN1d/Jkt3kREyjjGm4iIiEoiNxe4d+/V8F45V1e2eJuVZ88AJyfAxgZ4/tzQ0RARGRcm3kRERFQSqali8l0w8ZZPriYIholLAybeUhAEceIge3sx8c7MNHRERETGhV3NiYiIqCSSksR7dS3emZnA06elH1MhmHhL4flzIC8PcHAQE2+26BARKcvIEJf8YP1IRERExaEp8a5YUbw3spnNmXhL4dkz8b5cOXFNObZ4ExEpS08HXFxYPxIREVHxJCUBVlZA+fLK211dxXsm3mZAnnjLu5qzRYeISFlGhph4s6s5ERERFUdSkphkWxRIaeWJ+IMHpR5SYZh4SyEtTbyXt3gz8SYieiUrC8jJERPvnBzxRkRERKSLpCTVbuaAONzX0tLoVpZi4i2FjAzxnpOrERGpkk+s5uIi3rOOJCIiIl3dufOqW3l+Mhng7MzE2yzIW7itrdnVnIioIPnFSXnize7mREREpKu7d9W3eANi4v3oUenGUwQm3lKQt97Y2HByNSKiggq2ePPiJBEREenq7l31Ld4AW7zNhjzRtrbmGG8iooKePxfvnZzEe7Z4ExERkS5evBDX6ZYvHVaQkxMTb7NQMPFmizcR0SvZ2eJ9uXLiPS9OEhERkS5SUsT7wlq8Oau5GcifeNvYsDWHiCi/rCzx3sFBvGfiTURERLqQr9FdWOLNMd5mIDNTnMLe0pJdzYmICirY4s2Lk0RERKQLbRJvdjU3A5mZYsINcDkxIqKC2OJNREREJZGcDFhZiQm2Os7OwJMnQF5eqYZVGCbeUsjMFBNugMuJEREVxDHeREREVBLJyWJrt0ym/nFnZzHpfvq0dOMqBBNvKbDFm4j0bOnSpfDz84OdnR2CgoJw7NgxjWWTk5Px9ttvw9/fHxYWFpgwYYLaclu2bEG9evVga2uLevXqYdu2bRJFX0DBFm92NSciIiJdJCdrntEceNUSbkTdzY0u8U5ISDB0CCWXv8WbY7yJzJa+6rNNmzZhwoQJmDp1Ks6cOYM2bdogLCwMt2/fVls+MzMTlSpVwtSpUxEYGKi2zPHjxzFw4EAMHjwYZ8+exeDBgzFgwACcOHFCLzEXii3eRGbBJL7TEZFxYuJdcjVr1kSHDh2wdu1avCyrX8aystjiTUR6q88WLFiA999/H8OHD0fdunURFRUFHx8fLFu2TG35atWqYeHChXj33Xfh4uKitkxUVBQ6d+6MiIgI1KlTBxEREejUqROioqKKHafW5C3ednbiJJRs8SYySSbxnY6IjNPdu5onVgNeJd5GNLO50SXeZ8+eRePGjfHxxx/Dw8MDH374IU6ePGnosHTDruZEBP3UZ1lZWYiLi0NoaKjS9tDQUPz999/Fju348eMqx3z99dc1HjMzMxNpaWlKt2KTt3hbWnLJRSITZhLf6YjIOLHFu+Tq16+PBQsWICkpCatXr0ZKSgpat26NgIAALFiwAPfv3zd0iEXLn3hbWzPxJjJT+qjPHjx4gNzcXFSuXFlpe+XKlZGSklLs2FJSUnQ6ZmRkJFxcXBQ3Hx+fYp8bWVniTKQymZh4yxNxIjIpJvGdjoiMT3Y28OBB4S3etrZizzom3kWzsrJC79698csvv2Du3Lm4fv06Jk2ahCpVquDdd99FsnztNmNUsMU7J0e8EZFZ0kd9Jiswa6cgCCrbdKXLMSMiIvD06VPFLTExsfgnzs4WE29AvJd3PScik1Smv9MRkfG5dw8QBMDNrfByTk7A48elE5MWjDbxjo2NxahRo+Dp6YkFCxZg0qRJuH79Og4dOoSkpCT07NnT0CFqVrDFW76NiMxSSeozNzc3WFpaqrREp6amqrRY68LDw0OnY9ra2sLZ2VnpVmz558GwtmbiTWTi9PGdTpeVHQAgJiYGQUFBsLOzQ/Xq1bF8+XKVMkWt7BAZGYmmTZvCyckJ7u7u6NWrF65cuaLbkyci/bt7V7xn4l0yCxYsQIMGDdCyZUvcvXsXa9aswa1btzB79mz4+fmhVatWWLFiBU6fPm3oUDUr2OIt30ZEZkUf9ZmNjQ2CgoKwf/9+pe379+9Hy5Ytix1bSEiIyjH37dtXomNqjS3eRGZBX9/pdF3ZISEhAV27dkWbNm1w5swZTJkyBePGjcOWLVsUZbRZ2SEmJgajR4/GP//8g/379yMnJwehoaHIyMjQzwtERMUjT7wL62oOAI6ORpV4Wxk6gIKWLVuG9957D8OGDYOHh4faMr6+vli1alUpR6YDdS3enM2TyOzoqz4LDw/H4MGDERwcjJCQEKxcuRK3b9/GyJEjAYjdwJOSkrBmzRrFPvHx8QCA9PR03L9/H/Hx8bCxsUG9evUAAOPHj0fbtm0xd+5c9OzZE7/99hsOHDiAP//8Uw/PvAjyMd4AW7yJTJi+6sD8KzsA4qoMf/zxB5YtW4bIyEiV8suXL4evr69ilYa6desiNjYW8+bNQ9++fRXHkK/sAIj1aExMDKKiorBhwwYAwN69e5WOu3r1ari7uyMuLg5t27bV/oUgIv26e1f8HqFh5RYFJt6F279/P3x9fWFhodwYLwgCEhMT4evrCxsbGwwZMsRAEWohM/PVl0q2eBOZLX3VZwMHDsTDhw8xc+ZMJCcno379+ti9ezeqVq0KAEhOTlZp+WncuLHi57i4OKxfvx5Vq1bFzZs3AQAtW7bExo0bMW3aNHz++eeoUaMGNm3ahObNm+vhmReBLd5EZkEfdaB8ZYfJkycrbS9sZQdNqzasWrUK2dnZsLa2xvHjxzFx4kSVMoUtqfj06VMAQMVCZlLOzMxEZr7vfCVaAYKI1Lt7V+xmblFE521HR6NaTszoEu8aNWogOTkZ7u7uStsfPXoEPz8/5ObmGigyHbx8CZQrJ/4sT7zZ4k1kdvRZn40aNQqjRo1S+1h0dLTKNkEQijxmv3790K9fP61j0Bsm3kRmQR91YHFWdtC0akNOTg4ePHgAT09PnVd2EAQB4eHhaN26NerXr68x3sjISMyYMaPI50VEJVDUGt5yTk5ASSaD1TOjG+Ot6ctieno67OzsSjmaYsrMfJVws8WbyGyZRH0mhfyTqzHxJjJZ+qwDdV3ZQV35gtt1OeaYMWNw7tw5RTd0TfS6AgQRqZeUVPga3nJGNrma0bR4h4eHAxArwS+++ALl5C3GAHJzc3HixAk0atTIQNHpiGO8icyaSdVnUsjOBiwtxZ+ZeBOZHH3WgcVZ2UHTqg1WVlZw/V8rmS4rO4wdOxY7duzA0aNHUaVKlULjtbW1ha2tbZHPi4hK4O5doFatoss5OgJPnkgejraMJvE+c+YMAPFq4/nz52EjbymGOKtvYGAgJk2aZKjwdMNZzYnMmknVZ1IouJxYdrZh4yEivdJnHZh/ZYfevXsrtu/fv1/jMmQhISHYuXOn0rZ9+/YhODgY1v+re+QrO+Qf511wZQdBEDB27Fhs27YNR44cgZ+fn1YxE5HE7t4FWrQoupyjo9j4+fIlYAQ9DY0m8T58+DAAYNiwYVi4cGHJ1og1NLZ4E5k1k6rPpMAWbyKTpu86UNeVHUaOHIklS5YgPDwcI0aMwPHjx7Fq1SqlbuLarOwwevRorF+/Hr/99hucnJwULeQuLi6wt7cv0XMiomLKzBQnTNN2jDcgdjf39JQ2Li0YTeItt3r1akOHUHLqxngz8SYyOyZRn0kh/3JiTLyJTJa+6kBdV3bw8/PD7t27MXHiRPzf//0fvLy8sGjRIsVSYoB2KzssW7YMANC+fXuV5zV06FC9PDci0lFSknjv5lZ0WSbeqvr06YPo6Gg4OzujT58+hZbdunVrKUVVAuxqTmS2TK4+k0LBWc1ZPxKZDKnqQF1XdmjXrh1Onz5d6DGLWtlBm9UhiKiUyScsLLBaglqOjuK9kUywZhSJt4uLi2IWSZeiFkIvCwqOXwTY4k1kJkyuPpNCwRbvjAzDxkNEesM6kIgkJe/dok3inb/F2wgYReKdvyuSSXTNVDfGmy06RGbB5OozKeRv8ba2ZldzIhPCOpCIJJWYCLi4aDdZmpEl3ka3jveLFy/w/Plzxe+3bt1CVFQU9u3bZ8CodJCXB+TkvEq4ZTKxuzlbvInMTpmvz6TCMd5EZoF1IBHp3e3bgIalBFXY2op5GBNv9Xr27KmYlfLJkydo1qwZ5s+fj549eyomuTBq8pbtfEtnwMaGLd5EZqjM12dSyZ94s8WbyGSxDiQivUtMBCpV0r68kxMTb01Onz6NNm3aAAA2b94MDw8P3Lp1C2vWrMGiRYsMHJ0W5Am2vMUbYIs3kZkq8/WZVNjiTWQWWAcSkd7dvq3d+G45Jt6aPX/+HE7/64+/b98+9OnTBxYWFmjRogVu3bpl4Oi0wMSbiP6nzNdnUik4xjs727DxEJEkWAcSkd7dvs0Wb32pWbMmtm/fjsTERPzxxx8IDQ0FAKSmpsLZ2dnA0WmBiTcR/U+Zr8+kwhZvIrPAOpCI9CotTbxpO8YbEJcUY+Kt3hdffIFJkyahWrVqaN68OUJCQgCIV0obN25s4Oi0oGmMNxNvIrNT5uszqRRcx5uJN5FJYh1IRHolX8NblxZvR0fg4UNp4tGRUSwnll+/fv3QunVrJCcnIzAwULG9U6dO6N27twEj0xJbvInof8p8fSaVgi3e7GpOZJJYBxKRXiUkiPceHtrv4+wM3LkjTTw6MrrEGwA8PDzgUeAFbdasmdb7R0ZGYuvWrbh8+TLs7e3RsmVLzJ07F/7+/voOVZU88bbK99La2AAvXkh/biIyOiWtz0wS1/EmMhusA4lIb65dE9fvdnXVfh8jGuNtdIl3RkYGvv76axw8eBCpqanIy8tTevzGjRtFHiMmJgajR49G06ZNkZOTg6lTpyI0NBQXL16Eg4ODVKGL1HU1t7ZmizeRGdJHfWaS1I3xFgRAJjNsXESkV6wDiUivrl8HvLwACx1GSzPx1mz48OGIiYnB4MGD4enpCVkxvojt3btX6ffVq1fD3d0dcXFxaNu2rb5CVU/ecpO/q7mtLRNvIjOkj/rMJGVnv6ojra3FpDs3V7mnEBGVeawDiUivrl0DPD1128fJSWwYffECsLeXJi4tGd23nD179mDXrl1o1aqV3o759OlTAEDFihX1dkyNNI3xfv5c+nMTkVGRoj4zCdnZgKWl+LM82c7fCk5EJoF1IP1/e/cd1tT1/wH8HTYi4EKGoqK2LpxYFbd1Yt229dvh1l+pHSq11tHW0aF2uFpHtc4O1NZR2+LArRW1Kjhx4yhCFVRwgsD5/XGaCBIghJvcJLxfz5MHubk5+RwJh/u5ZxEp6sIFoEGDwr2mZEn59dYtoEIFxUMqDItb1bx06dKKJshCCISFhaFly5YIDAzUe05aWhpSU1NzPIzGxdWI6D9Kt2c24+keb4DzvIlsENtAIlJMZiZw5Urhk2ft1oUWMNzc4hLvTz75BB9//DEeKNRD/Pbbb+P48eMIDw/P85xp06bB09NT9/D39zf+DbmdGBH9R+n2zGakpz/p8dZ+5crmRDaHbSARKebaNXmt4OdXuNe5u8uvFpB4W9y4vq+//hoXL16Et7c3qlSpAsfsPccAjh49anBZ77zzDjZu3Ig9e/agYsWKeZ43fvx4hIWF6b5PTU01PvnOq8ebq5oTFTtKtmc2IzNTzulmjzeRzWMbSESKuXBBfi1sj3f2oeYqs7jEu1evXkUuQwiBd955B+vXr8euXbsQEBCQ7/nOzs5wdnYu8vsCeJJgc3E1omJPifbM5mgT7Oyrmmc/TkQ2g20gESnm7FmZX3l7F+517PHO26RJk4pcxltvvYWff/4Zv/32G9zd3ZGYmAgA8PT0hKupV7N79Ej2cGdf5p5DzYmKJSXaM5ujHVKefR9vgIk3kQ1iG0hEijl5EqhcufALsTo6ytXMLaDH2+LmeAPAnTt38P3332P8+PG49d9/0tGjRxEfH2/Q6xcsWICUlBS0bdsWvr6+usfq1atNGbb08KHs4c6OQ82Jiq2itmc2hz3eRMUK20AiUsSJEzLxNoaHB3u89Tl+/Dg6dOgAT09PXL58GcOHD0eZMmWwfv16XLlyBStXriywDCGEGSLNg77E29n5ydxvIio2lGjPbA57vImKDbaBRKQIIWSP90svGfd6d3eLSLwtrsc7LCwMgwYNwvnz5+Hi4qI7HhISgj179qgYmYG0Q82zc3KSibeaNwSIyOysvj0zBfZ4ExUbbAOJSBHXrwMpKUCVKsa9vmRJDjXX5++//8Ybb7yR63iFChV0c7UtWl5DzQHO8yYqZqy+PTMFbY+3tqebiTeRzWIbSESKOHlSfi1gwew8ubsDSUnKxWMki0u8XVxckJqamuv42bNn4eXlpUJEhfTwof4eb4CJN1ExY/XtmSloE2zt/t3aBJz7eBPZHLaBRKSI48cBFxfAx8e413t6AsnJysZkBItLvHv27ImpU6fi8X8XYRqNBlevXsW4cePQt29flaMzwKNH7PEmIgA20J6ZwtNzvNnjTWSz2AYSkSIOHQKefTbnrlGF4enJHm99vvrqK9y8eRPly5fHw4cP0aZNG1SvXh3u7u747LPP1A6vYA8f5tzDG3iSeHNlc6JiRcn2bP78+QgICICLiwuCgoKwd+/efM/fvXs3goKC4OLigqpVq2LhwoU5nl++fDk0Gk2uxyNT3yDUJtjadpKLqxHZLKu/piMiy3DgAFCrlvGv9/CwiB5vi1vV3MPDA/v27cPOnTtx5MgRZGVloVGjRujQoYPaoRkmr1XNAfZ4ExUzSrVnq1evxqhRozB//ny0aNEC3333HUJCQnD69GlUqlQp1/lxcXHo2rUrhg8fjh9//BF//fUXRowYAS8vrxy9TB4eHjh79myO12ZfAMkktD3e2qHm7PEmsllWf01HROq7fh3455+iJd6ensD9+zIXM/V1Tj4sKvHOysrC8uXLsW7dOly+fBkajQYBAQHw8fGBEAIajUbtEAvGOd5EBGXbs5kzZ2Lo0KEYNmwYAGD27NnYsmULFixYgGnTpuU6f+HChahUqRJmz54NAKhVqxYOHz6Mr776KkfirdFo4GPsfCljscebqFiwiWs6IlLfwYPya+3axpfh6Sm/JicDFSoUPSYjWcxQcyEEevTogWHDhiE+Ph5169ZFnTp1cOXKFQwaNAi9e/dWO0TD5Jd4c6g5UbGgZHuWnp6OI0eOoFOnTjmOd+rUCfv379f7mqioqFznd+7cGYcPH9bNtQSAe/fuoXLlyqhYsSK6deuG6OjoPONIS0tDampqjodRnp7jre35ZuJNZDNMcU2n9HQbAFi7di1q164NZ2dn1K5dG+vXr8/x/J49e9C9e3f4+flBo9Fgw4YNhY6biIrowAHAy0s+jKVNvFWe520xiffy5cuxZ88ebN++HdHR0QgPD8eqVatw7NgxbNu2DTt27MDKlSvVDrNgHGpOVOwp2Z4lJSUhMzMT3t7eOY57e3vnuR1PYmKi3vMzMjKQ9N8fnZo1a2L58uXYuHEjwsPD4eLighYtWuD8+fN6y5w2bRo8PT11D39/f4Piz+Xpfbzt7eWDiTeRzVD6mk473WbixImIjo5Gq1atEBISgqtXr+o9XzvdplWrVoiOjsaECRPw7rvvYu3atbpzoqKi0K9fP/Tv3x/Hjh1D//798fLLL+OgtncNwP3791G/fn18++23xv9nEFHRbNsG1KtXtDI8PORXled5W0ziHR4ejgkTJqBdu3a5nnv++ecxbtw4/PTTTypEVkjcx5uo2DNFe/b0sMyChmrqOz/78WbNmuH1119H/fr10apVK6xZswbPPvssvvnmG73ljR8/HikpKbrHtWvXChW/ztM93tp/M/EmshlKt4HZp9vUqlULs2fPhr+/PxYsWKD3/OzTbWrVqoVhw4ZhyJAh+Oqrr3TnzJ49Gx07dsT48eNRs2ZNjB8/Hu3bt9dN0QGAkJAQfPrpp+jTp4/hlSci5dy8CURHA40bF60c9njndPz4cXTp0iXP50NCQnDs2DEzRmSkR49yDzXXJuIcak5ULCjZnpUrVw729va5erdv3LiRq1dby8fHR+/5Dg4OKFu2rN7X2NnZ4bnnnsuzx9vZ2RkeHh45HkbRtoPZb1A6OjLxJrIhSraBpppuk9c5eZVJRCrYvh0QouiJt5ubvMnPHm/p1q1beV5EAnKY5O3bt80YkZG4uBpRsadke+bk5ISgoCBERkbmOB4ZGYnmzZvrfU1wcHCu87du3YrGjRvD8entDv8jhEBMTAx8fX0Nisto2sQ7ezvp4PCkJ5yIrJ6SbaCpptvkdU5eZRpKsfUwiAjYuhWoWhUoV65o5Wg0FrGXt8Uk3pmZmXBwyHuRdXt7e2RkZJgxIiPpG2quvdBl4k1ULCjdnoWFheH777/H0qVLERsbi9GjR+Pq1asIDQ0FIIeBDxgwQHd+aGgorly5grCwMMTGxmLp0qVYsmQJxowZoztnypQp2LJlCy5duoSYmBgMHToUMTExujJN5sED2SZqF1UD2ONNZGNMcU2n9HQbY8o0hGLrYRAVd48fA7/9BjRtqkx5FpB4W8x2YkIIDBo0CM5PJ63/SUtLM3NERkpLy514azTyGIeaExULSrdn/fr1Q3JyMqZOnYqEhAQEBgYiIiIClStXBgAkJCTkWGQoICAAERERGD16NObNmwc/Pz/MnTs3x1Zid+7cwf/93/8hMTERnp6eaNiwIfbs2YMmTZoYUeNC0HdzknO8iWyKkm2gqabb5HVOfj31hhg/fjzCwsJ036empjL5JjLGzp3ArVuAnrUijOLhofpQc4tJvAcOHFjgOdl7dCxSVpZMvJ8eag7IY+zxJioWTNGejRgxAiNGjND73PLly3Mda9OmDY4ePZpnebNmzcKsWbMKFYMi8hoVxMSbyGYo2QZmn26TfRuyyMhI9OzZU+9rgoOD8fvvv+c49vR0G+2UnNGjR+c4J68pPIZydnbO84YDERXCmjVAxYpA9erKlOfuLhdrU5HFJN7Lli1TO4Si0ybWTLyJijWbaM9M5eFDwMUl5zEHB3nTkohsgtJtYFhYGPr374/GjRsjODgYixYtyjXdJj4+XrdFWWhoKL799luEhYVh+PDhiIqKwpIlSxAeHq4rc+TIkWjdujVmzJiBnj174rfffsO2bduwb98+3Tn37t3DhQsXdN/HxcUhJiYGZcqUQaVKlRStIxFlc/8+8MsvQM+ecuSwEjw9gfh4ZcoyksUk3jZB32q9WhxqTkQk53g/3UayfSSifJhiuk3z5s2xatUqfPjhh/joo49QrVo1rF69Gk2zzSc9fPhwji3RtEPIBw4cqHekEREpZNUq4O5doGtX5cosUwY4ckS58ozAxFtJ2h5tfYk3e7yJiPTv/ODiAty7p048RGQVlJ5uAwAvvvgiXnzxxTyfb9u2rW5RNiIyEyGA+fPlomo+PsqVW7YscOOGnBpsp8764hazqrlN0LdNjhYTbyIi/XO8XVzksDIiIiIq3nbvBo4elcPMlVSmDJCZqerK5ky8lcSh5kRE+XvwIPfNSVdXOaSMiIiIirfPP5cLqim1jZhWmTLy61O7GZgTE28lFbS4Gnt0iKi4Y483ERER6RMVBURGAq+8otyialraxDshQdlyC4GJt5Ly6/EuUQJISTFvPERElkbf4mqurpzjTUREVJwJAYwdK3u727ZVvnz2eNuY/OZ4u7kx8SYi0pd4s8ebiIioeNuwAdi3Dxg2zDSLnzk5AR4e7PG2Gfmtal6yJBNvIiJ9Q83Z401ERFR8PXwIjB4t53U3aWK69ylThj3eNiO/oeZubkBqqnnjISKyNHkl3g8eqBMPERERqeuTT4D4eOCtt5Sf251dmTLs8bYZ+Q01L1GCiTcRUV5DzR89ktt8EBERUfEREwN88QXQvz/g72/a9ypdmom3zXj4EHBwAOztcz/n5iaHUvLCkoiKs7x6vAHO8yYiIipOHj0CXn8dqFJFrmRuauzxtiGPHukfZg7IOd4Ae72JqHjT1066uMivnOdNRERUfHzwAXDuHDBhAuDoaPr3K1cOuH5drqCuAibeStLXk6Pl5ia/coE1IiqusrL0J97aHm8m3kRERMXDL78Ac+cCoaFA1armeU8fHznl7eZN87zfU5h4K+nOnScJ9tOYeBNRcafd+eHpdTA41JyIiKj4OHoUGDQIeP55oHdv872vr6/8GhdnvvfMhom3kpKT5f5w+mgTbw41J6LiSrsApXZouRZ7vImIiIqH8+eBrl2BypWB99837SrmT2PibUNu3QLc3fU/xx5vIirutFuG5TXHmz3eREREtuvECaBtW3nD/bPPct+IN7WSJWWuxsTbBiQlMfEmIspLXlsussebiIjItq1eDbRsKXOir76SW3upwdeXibdNuHUr76Hmzs5yqzEm3kRUXOU11Jw93kRERLZHCCAqCggJAf73PyAoCJg1CyhbVr2YvL2BS5dUeWsHVd7VVuU3x1ujkXd4mHgTUXGV11BzR0d5Y5I93kRERNbtn3+AAweAvXuBiAjgwgXA3x+YMgVo1cq8c7r18fUFDh9W5a2ZeCtFCOD27byHmgNyXgETbyIqrvIaag4AJUqwx5uIiMjaZGUBu3fL7cE2bQIuX5bH/fyAhg2B4cOBxo0BOwsZaO3jA1y7BmRmAvb2Zn1rJt5KuXcPePw47x5vQPZ4c1VzIiqu8hpqrj3GHm8iIiLrcP8+sHQpMGcOcPGi7Elu1gwYPBioU0fd4eT5qVRJ5mwXLgA1apj1rZl4K+XWLfk1v8S7RAn2eBNR8ZXXUHNALrDGHm8iIiLLdvs2MG+enKudkiJXKR85EggMVH8YuSGqV5dfY2KYeFut5GT5lYk3EZF++Q01Z483ERGR5YqNBRYulL3c6elPFkzz8VE7ssLx9JQLrEVHA/36mfWtmXgrxZAe75Iln5xHRFTcPHwo53g5OuZ+jj3eRERElkMI4PRp4M8/5fztw4eBUqWAXr2A3r2BMmXUjtB41arJxNvMmHgrRZtQ57e4mo8PcOyYeeIhIrI0qakywdY3FM3FhWtgEBERqenaNSAyEti+HdixA0hMlH+fn3sOmDwZCA7WP2rN2lSvDmzebPa3ZeKtlORkuTKem1ve51SsCPz7L3D3bv4JOhGRLbpyRQ7v0sfbGzh3zrzxEBERFWdZWbIne8MG4LffZA+3RiPnPrdpI/fdrldP/9os1qx6deDGDeD6dbn6upkw8VbKrVtymHl+iwpUrCi/nj8PNGpknriIiCyFdtVTfSpXlvt9ZmTIPb2JiIhIeTdvyu2/tm4F/vgDSEiQ856bNgVefFEm2/lNnbUFderInC0yEhg40Gxvy6sbpSQnF/wh1Sbe584x8Sai4ufiRaB+ff3PVa4st/e4eNHsq4wSERFZnYcPgTt35NfMTHlMo5Fzs9PT5YKlycmyV/fSJeDMGTmvWbvPdqVKQIsW8lG3rtn3tFZVmTJArVryxgMTbyt09WrBiwy4uwOlS8sebyKi4iQzUw41DwnR/3zlyvJrbCwTbyIiIkD+7bxwQa4RdeIEcOqU7MC7elVOXTWERgOULy87ABs3Bvr3l4m2l5dpY7d0zZrJRePS0802b93OLO+ikvnz5yMgIAAuLi4ICgrC3r17TfNGQgB798o7JwWpWJHzGImo0Arbnu3evRtBQUFwcXFB1apVsXDhwlznrF27FrVr14azszNq166N9evXmyp8ecc9PT3voeZlysidH2JjTRcDEVkttdpAs11LUvGWmSl7pTdtAmbOBIYOlQuaeXgANWvKba8WLJAJd/XqwKuvAuPHA59/Dnz1ldxTe9Ys+dpZs4BvvgG+/x5Ys0YOKV+1Sp731lvA888z6QbkQnF375p1kTWb7fFevXo1Ro0ahfnz56NFixb47rvvEBISgtOnT6NSpUrKvtmFC3KCft26BZ9boQJw9mzOY9euyTsteS06lF1WltyOh4iKjcK2Z3FxcejatSuGDx+OH3/8EX/99RdGjBgBLy8v9O3bFwAQFRWFfv364ZNPPkHv3r2xfv16vPzyy9i3bx+aNm2qfCUuXpRf81rERKORvd5MvInoKWq1gWa9liTblZkJ3L4tc4V//5U3ov/5R44Cu3xZ/n28fFnenAbkKuKVK8vHwIFy66tq1eRWXqScatVk7jZ1KtC9e/7rdClEI4QQJn8XFTRt2hSNGjXCggULdMdq1aqFXr16Ydq0afm+NjU1FZ6enkhJSYGHIYsLLFsm70xt3Ch7bPKzfj0wf75cNdDfHxg7Fvj2W9lr3rs3sHy5/rniycnyLtWff8rXzZoFdO5ccGxEBMCI32sLUtj27IMPPsDGjRsRmy2JDQ0NxbFjxxAVFQUA6NevH1JTU7Fp0ybdOV26dEHp0qURHh5eYEyF/v9cuhQYNkzeWc5rSNeXX8o5aKdP294KqkRWwFLbSbXawKJcS2pZ6v9psSaE7OlMSZHzo9PTZXKclSWfE0J+n5Eh1x55+pGeDqSlAQ8eyHnUqamyrDt35OP2bfm99nH3riwzO3d32eHm7S1Hgvn5yc65SpXksHB2splHdDQQFgasWAEMGGDwy4z9vbbJHu/09HQcOXIE48aNy3G8U6dO2L9/v/JvuHevvGtSUNINAF27ymEfAwbIX9rTp4E33pCvXbgQaNJEJufZh63v2we89pr85e3XDzh6FOjSBfj4Y2DCBF6gEtkwY9qzqKgodOrUKcexzp07Y8mSJXj8+DEcHR0RFRWF0aNH5zpn9uzZisavc+mSHNqW3zyq3r2BESPk48svC143g4hsnlptoNmvJaloMjKeJMC3bsmVu7W9y/Hxsof5n3/k90lJMoEuKgcHwNVVbiXs5iav5bX/Ll/+yb/d3eWjVCn5d61sWfk6Ul/DhkCnTrJjICNDjjAw4SJzNpl4JyUlITMzE95PDd329vZGYmJirvPT0tKQlpam+z4lJQWAvJthkEuX5B2z+fMNO9/eHjhwQP67YUPZm52cLIc7REUBtWvrf12bNrJRqVpV3qGZOlU+iIqzkBB506qAIVja32drG+RT2PYMABITE/Wen5GRgaSkJPj6+uZ5Tl5lFrmdvHULePSo4HbSxUX2ji9dali5RFSwunWBH34AAgLyPc0S20m12kBj3hcoYlt544ZMAHbvLvhcMl6JEjIBdnOTN4MdHWUPs7aXWaORD3t7+XBwkA/t946O8nUFJWhpafJx65bp60TGc3OTN2KGDpWL102aVOBLjG0rbTLx1tI8NVZfCJHrGABMmzYNU6ZMyXXc39+/cG/4yy+FOx+QCXR0tGHnsiEmym3TpicrYhvg7t278PT0NGFApmFoe5bf+U8fL0yZqraTRFQ0J04ADRoYfLoltpNqtYGFfV/F2koynQcP5IPoaTNnyoeBCttW2mTiXa5cOdjb2+e6I3njxo1cdy4BYPz48QgLC9N9n5WVhVu3bqFs2bL5Nq75SU1Nhb+/P65du2Yzc3pYJ+tgi3UCil4vIQTu3r0Lv7wW97JQhW3PAMDHx0fv+Q4ODihbtmy+5+RVptLtJD+n1sMW6wSwXvpYYjupVhtozPsCyrWVpv58muPzb+11YPksPy/GtpU2mXg7OTkhKCgIkZGR6N27t+54ZGQkevbsmet8Z2dnOD81T7qUQisHenh42NQfdIB1sha2WCegaPWytB4cQxS2PQOA4OBg/P777zmObd26FY0bN4ajo6PunMjIyBxzHLdu3YrmzZvrLdNU7SQ/p9bDFusEsF5Ps7R2Uq020Jj3BZRvK039+TTH59/a68DyWb4+xrSVNpl4A0BYWBj69++Pxo0bIzg4GIsWLcLVq1cRGhqqdmhERIVSUHs2fvx4xMfHY+XKlQDk6r3ffvstwsLCMHz4cERFRWHJkiU5VisfOXIkWrdujRkzZqBnz5747bffsG3bNuzbt0+VOhIR5UWtNpDXkkSkJJtNvPv164fk5GRMnToVCQkJCAwMREREBCoXYi4oEZElKKg9S0hIwNWrV3XnBwQEICIiAqNHj8a8efPg5+eHuXPn6vavBYDmzZtj1apV+PDDD/HRRx+hWrVqWL16tWn28CYiKgK12kBeSxKRogSZxKNHj8SkSZPEo0eP1A5FMayTdbDFOglhu/Uqrmz152mL9bLFOgnBepFlM/XP0RyfE2uvA8tn+UrTCGFBe0YQERERERER2Rg7tQMgIiIiIiIismVMvImIiIiIiIhMiIk3ERERERERkQkx8SYiIiIiIiIyISbeBpo/fz4CAgLg4uKCoKAg7N27N9/zd+/ejaCgILi4uKBq1apYuHBhrnPWrl2L2rVrw9nZGbVr18b69etNFb5ehanTunXr0LFjR3h5ecHDwwPBwcHYsmVLjnOWL18OjUaT6/Ho0SNTVyWHwtRr165demM+c+ZMjvOs6Wc1aNAgvXWqU6eO7hy1f1Z79uxB9+7d4efnB41Ggw0bNhT4Gmv4nSLDFLY9VVtBn1chBCZPngw/Pz+4urqibdu2OHXqVI5z0tLS8M4776BcuXJwc3NDjx498M8//5ixFjlNmzYNzz33HNzd3VG+fHn06tULZ8+ezXGONdZrwYIFqFevHjw8PHR/qzZt2qR73hrr9LRp06ZBo9Fg1KhRumO2UC9bpNTv2aJFi9C2bVt4eHhAo9Hgzp07ucr38vKCv78/SpYsCU9PT/Tv3x937txRrPySJUuiTJkycHFxQalSpRSNv2TJknB1dUWJEiXg7OyMatWqYdKkSUhPT1csfmdnZ5QoUQJOTk7w9fVF//79cf36dcXK1/58T5w4gQYNGkCj0SAmJkax8u3t7XNds40bN07R+IODg1GvXj24urqiXLly6NOnjyLllyhRQu81p0ajwaFDh4wuP/t7uLm5wdnZGU5OTihZsiRatGiBnTt3Fvkzmt3Ro0fRsWNHlCpVCmXLlsX//d//4d69e7nOy5fZ1k+3YqtWrRKOjo5i8eLF4vTp02LkyJHCzc1NXLlyRe/5ly5dEiVKlBAjR44Up0+fFosXLxaOjo7i119/1Z2zf/9+YW9vLz7//HMRGxsrPv/8c+Hg4CAOHDhgkXUaOXKkmDFjhjh06JA4d+6cGD9+vHB0dBRHjx7VnbNs2TLh4eEhEhIScjzMqbD12rlzpwAgzp49myPmjIwM3TnW9rO6c+dOjrpcu3ZNlClTRkyaNEl3jto/q4iICDFx4kSxdu1aAUCsX78+3/Ot4XeKDFPYz7MlKOjzOn36dOHu7i7Wrl0rTpw4Ifr16yd8fX1Famqq7pzQ0FBRoUIFERkZKY4ePSratWsn6tevn6OtMafOnTuLZcuWiZMnT4qYmBjxwgsviEqVKol79+7pzrHGem3cuFH8+eef4uzZs+Ls2bNiwoQJwtHRUZw8edJq65TdoUOHRJUqVUS9evXEyJEjdcetvV62Sqnfs1mzZolp06aJadOmCQDi9u3bucpv3ry5cHd3F97e3mL79u0iMDBQdOvWTbHy/+///k/Url1buLu7Cw8PD0XjX7hwoejRo4do0qSJ8PPzE6tXrxbly5cX7733nmLxv/fee6J58+aiQoUKYtu2bSI4OFgEBwcrVr725+vu7i46duwoAIjo6GjFyvf19RXPPvusqFChgrh48aJISEgQd+/eVaz8r776Sjg6OooyZcqI6OhocebMGfHLL78oUn50dLTYtm2b6NChgy7+YcOGiSpVqohp06YZXX729/D39xctW7YUrVq1En5+fmL48OGiRIkSIiEhoUh10IqPjxelS5cWoaGh4syZM+LQoUOiefPmom/fvqIwmHgboEmTJiI0NDTHsZo1a4px48bpPX/s2LGiZs2aOY698cYbolmzZrrvX375ZdGlS5cc53Tu3Fn873//Uyjq/BW2TvrUrl1bTJkyRff9smXLhKenp1IhGqWw9dIm3k//gmVn7T+r9evXC41GIy5fvqw7Zgk/Ky1DEm9r+J0iwyjR9qjp6c9rVlaW8PHxEdOnT9cde/TokfD09BQLFy4UQsibYY6OjmLVqlW6c+Lj44WdnZ3YvHmz2WLPz40bNwQAsXv3biGE7dRLCCFKly4tvv/+e6uv0927d8UzzzwjIiMjRZs2bXSJt7XXqzgx5vcsu7yuWU6fPi0AiE2bNunKj4qKEgCEl5dXkct/On43NzdF49f3//PFF1+IKlWqmKz83377TQBQtPzw8HABQKxYsUIAEEePHlWs/MqVK4tPPvnEJJ+fx48fiwoVKohZs2aZpHwt7f//9u3bRfny5cWUKVMUKf/mzZsCgNizZ4/uPbS/C5GRkYq8x3fffSfKly8vMjMzdceio6MFAHH+/Hm99dWHQ80LkJ6ejiNHjqBTp045jnfq1An79+/X+5qoqKhc53fu3BmHDx/G48eP8z0nrzKVZEydnpaVlYW7d++iTJkyOY7fu3cPlStXRsWKFdGtWzdER0crFndBilKvhg0bwtfXF+3bt9cNTdGy9p/VkiVL0KFDB1SuXDnHcTV/VoVl6b9TZBglPs+WJi4uDomJiTnq5OzsjDZt2ujqdOTIETx+/DjHOX5+fggMDLSYeqekpACArk23hXplZmZi1apVuH//PoKDg62+Tm+99RZeeOEFdOjQIcdxa69XcWLM75khoqKi4OnpierVq+vKb9asGdzd3XHz5s0il/90/BqNRtH4ny6/TJkySElJQcmSJU1Svr29PX766ScEBQUpVv6///6rm/7h7e0NAIiPj1c0/jlz5gAAhg8fjs8++wxnz55VpPyjR48iPj5eN92wT58+CAkJwZYtW0zy/3/s2DEkJSXh+eefV6T8smXLolatWli5ciUSEhIAANu2bYO3tzfKlSunyHukpaXByckJdnZPUmdXV1cAwL59+wwuh4l3AZKSkpCZman7JdLy9vZGYmKi3tckJibqPT8jIwNJSUn5npNXmUoypk5P+/rrr3H//n28/PLLumM1a9bE8uXLsXHjRoSHh8PFxQUtWrTA+fPnFY0/L8bUy9fXF4sWLcLatWuxbt061KhRA+3bt8eePXt051jzzyohIQGbNm3CsGHDchxX+2dVWJb+O0WGUaLtsTTauPOrU2JiIpycnFC6dOk8z1GTEAJhYWFo2bIlAgMDAVh3vU6cOIGSJUvC2dkZoaGhWL9+PWrXrm3VdVq1ahWOHj2KadOm5XrOmutVnBj7e2aIxMREeHl55Srf09NTkfKzx//MM8/A3t5e0fizl9+yZUu4urrim2++wQsvvKBo+V26dIGdnR1atmyJq1ev4pNPPlGkfCEEBg4ciFKlSqFly5aoUaMGAOiuT5SI/91338Wzzz6Lhg0b4v3338fs2bPx/vvvK1L+pUuXAABTp05FzZo1sWXLFpQuXRr9+vVTLP7sP9/IyEh07txZl8QWtXyNRoPIyEgcPXoU9evXBwCEh4dj8+bNePDggSLvob1J8OWXXyI9PR23b9/GhAkTAECX7BvCweAziznt3T0tIUSuYwWd//TxwpapNGPfPzw8HJMnT8Zvv/2G8uXL6443a9YMzZo1033fokULNGrUCN988w3mzp2rXOAFKEy9atSooWsgASA4OBjXrl3DV199hdatWxtVpikY+/7Lly9HqVKl0KtXrxzHLeVnVRjW8DtFhrHFn5MxdbKUer/99ts4fvy43rv21livGjVqICYmBnfu3MHatWsxcOBA7N69W/e8tdXp2rVrGDlyJLZu3QoXF5c8z7O2ehU3Sv+ePe3mzZt4/PhxjvL1/Z00tnxt/O+++y6mTp2a4zkly//111/RpUsXvPTSS+jRowdmzJihWPnp6enYuXMn0tLSMGXKFF3iXdTyv/nmGxw7dgzOzs4IDw9HRkZGjueViP/ixYuIj4/Hvn37ULFiRZQuXRovvviiIuVnZWUBAEqUKIHIyEhUrFgRy5Yt0yWrSv58f/nlFzRr1gxr1qzRPVfU8oUQGDFiBJKSkuDj44OlS5fi999/R7du3TB//nxF3qNOnTpYsWIFwsLCMH78eNjb2+Pdd9+Ft7e37kaUIdjjXYBy5crB3t4+112RGzdu5Lp7ouXj46P3fAcHB5QtWzbfc/IqU0nG1Elr9erVGDp0KNasWZNruNvT7Ozs8Nxzz5mtF7Uo9cquWbNmOWK21p+VEAJLly5F//794eTklO+55v5ZFZal/06RYZT6HbUkPj4+AJBvnXx8fHR3yPM6Ry3vvPMONm7ciJ07d6JixYq649ZcLycnJ1SvXh2NGzfGtGnTUL9+fcyZM8dq63TkyBHcuHEDQUFBcHBwgIODA3bv3o25c+fCwcFBF5e11as4KcrvmSG2b9+O1NTUXOWnpqYqUn72+LNPMVQqfm35q1atwmuvvYbg4GAsWrRI8fJ3796N1q1bo2PHjli1ahWioqIUKX/27NlITEzEtWvXUKVKFd2Q/6FDhyoaf/afb/bOk6KW/8svvwCQO45oy3d2dtZNUVQy/s2bN6Ns2bLo0aOHYj/fHTt2YOPGjcjMzMT+/fsREhKC+fPnw9XVVXcjSonrjldffRWJiYmIj49HcnIyJk+ejJs3byIgIMDgMph4F8DJyQlBQUGIjIzMcTwyMhLNmzfX+5rg4OBc52/duhWNGzeGo6NjvufkVaaSjKkTIHu6Bw0ahJ9//lk3/Cc/QgjExMTA19e3yDEbwth6PS06OjpHzNb4swLk9lsXLlzQNfz5MffPqrAs/XeKDKPU76glCQgIgI+PT446paenY/fu3bo6BQUFwdHRMcc5CQkJOHnypGr1FkLg7bffxrp167Bjx45cFw7WWi99hBBIS0uz2jq1b98eJ06cQExMjO7RuHFjvPbaa4iJiUHVqlWtsl7FgRK/Z4aUf/LkSQghcPPmTd1zBw8exN27d+Hl5VXk8k0d/7p16/Dzzz9jwIABaNSoEZYtWwY7OztFy386fu1ogDJlyhS5/AcPHuCPP/7AsWPHEBMTg4iICACys6p8+fImiV+7Lo8SP9+DBw/C0dERd+/e1T33+PFjJCQkwMPDQ7H4q1SpgmXLlmHAgAFwdHQs8s9X+x4zZ84EAPzxxx85/o/s7Ozg6elZ5Pd4mre3N0qWLInVq1fDxcUFHTt2NPzFBi/DVoxpt79ZsmSJOH36tBg1apRwc3PTrRI9btw40b9/f9352q2PRo8eLU6fPi2WLFmSa+ujv/76S9jb24vp06eL2NhYMX36dFW2qDK0Tj///LNwcHAQ8+bNy7H91J07d3TnTJ48WWzevFlcvHhRREdHi8GDBwsHBwdx8OBBs9TJmHrNmjVLrF+/Xpw7d06cPHlSjBs3TgAQa9eu1Z1jbT8rrddff100bdpUb5lq/6zu3r0roqOjdStCzpw5U0RHR+u2lLLG3ykyTEGfZ0tU0Od1+vTpwtPTU6xbt06cOHFCvPLKK3q3cqpYsaLYtm2bOHr0qHj++edV3crpzTffFJ6enmLXrl052vQHDx7ozrHGeo0fP17s2bNHxMXFiePHj4sJEyYIOzs7sXXrVqutkz7ZVzUXwnbqZWuU+j1LSEgQ0dHRYvHixbrVm7V/u7Xlt2vXTtSqVUv88ccfYufOnaJu3bq67cSUKP/vv/8WkZGRYsyYMcLNzU3XJk6ZMqXI5f/666+iSpUqokWLFuLo0aPi0qVLuv8rJeJfsGCB+Oyzz0RkZKQ4dOiQ2LRpk2jZsqWoVq2a+PTTTxX5/8n+842Njc2xnVhRy583b56YPHmyiIyMFAcPHhQ//PCD8PPzEz169FDs5zts2DDh4+MjwsPDRUxMjBg6dKgoX768mDRpkmL/P2vWrNGt9q7E5z85OVm8+eabwsPDQ3h4eIiuXbuKbdu2iX379omRI0cKR0dHERMTU+T30Prmm2/EkSNHxNmzZ8W3334rXF1dxZw5cwxsDSQm3gaaN2+eqFy5snBychKNGjXSLbUvhBADBw4Ubdq0yXH+rl27RMOGDYWTk5OoUqWKWLBgQa4yf/nlF1GjRg3h6OgoatasmSPZM4fC1KlNmzYCQK7HwIEDdeeMGjVKVKpUSTg5OQkvLy/RqVMnsX//fjPWSCpMvWbMmCGqVasmXFxcROnSpUXLli3Fn3/+matMa/pZCSG3jnF1dRWLFi3SW57aPyvtdg15fZ6s9XeKDJPf59kSFfR5zcrKEpMmTRI+Pj7C2dlZtG7dWpw4cSJHGQ8fPhRvv/22KFOmjHB1dRXdunUTV69eVaE2kr76ABDLli3TnWON9RoyZIjus+Xl5SXat2+vS7qFsM466fN04m0r9bI1Sv2eTZo0Kc+y9D1cXFzEa6+9Jm7fvm2S8rM/duzYYdLyTRF/2bJlRWhoqPjnn39MUv6XX36pS7xNUb6Pj4+YNGmSuH//vsk+Px06dBAnT540SflKff6XLVuW53tUrVpVREREKPIeWv379xdlypQRTk5Ool69emLlypWisDRC/DfWgoiIiIiIiIgUxzneRERERERERCbExJuIiIiIiIjIhJh4ExEREREREZkQE28iIiIiIiIiE2LiTURERERERGRCTLyJiIiIiIiITIiJNxEREREREZEJMfEmMlDbtm0xatQo3fdVqlTB7NmzVYvHFu3Zswfdu3eHn58fNBoNNmzYUOgy1qxZgwYNGqBEiRKoXLkyvvzyS+UDJSomnm73iIhIGbt27YJGo8GdO3dUeX+27+bHxJuswqBBg9CrVy9FymLCbLnu37+P+vXr49tvvzXq9Zs2bcJrr72G0NBQnDx5EvPnz8fMmTONLo/IlgwaNAgajQYajQaOjo6oWrUqxowZg/v37+f5mnXr1uGTTz4xY5RERMpe9z3N0IR3+fLlKFWqlN7nSpUqheXLlyseW0GYLFs3Jt5EZDFCQkLw6aefok+fPnqfT09Px9ixY1GhQgW4ubmhadOm2LVrl+75H374Ab169UJoaCiqVq2KF154AR988AFmzJgBIYSZakFkubp06YKEhARcunQJn376KebPn48xY8bkOu/x48cAgDJlysDd3d3cYRIREdkcJt5kddq2bYt3330XY8eORZkyZeDj44PJkyfnOGfy5MmoVKkSnJ2d4efnh3fffVf32itXrmD06NG6nh8ASE5OxiuvvIKKFSuiRIkSqFu3LsLDwwsVV17vScoZPHgw/vrrL6xatQrHjx/HSy+9hC5duuD8+fMAgLS0NLi4uOR4jaurK/755x9cuXJFjZCJLIqzszN8fHzg7++PV199Fa+99ho2bNiAyZMno0GDBli6dCmqVq0KZ2dnCCFy9a6kpaVh7Nix8Pf3h7OzM5555hksWbJE9/zp06fRtWtXlCxZEt7e3ujfvz+SkpJUqCkR2bKZM2eibt26cHNzg7+/P0aMGIF79+7pnr9y5Qq6d++O0qVLw83NDXXq1EFERAQuX76Mdu3aAQBKly4NjUaDQYMGFSmWy5cvQ6PRYNWqVWjevDlcXFxQp06dHB0DABAREYFnn30Wrq6uaNeuHS5fvpzj+YKuRQcNGoTdu3djzpw5umtYbRkFtb3379/HgAEDULJkSfj6+uLrr78uUp3JOEy8ySqtWLECbm5uOHjwIL744gtMnToVkZGRAIBff/0Vs2bNwnfffYfz589jw4YNqFu3LgA5bLJixYqYOnUqEhISkJCQAAB49OgRgoKC8Mcff+DkyZP4v//7P/Tv3x8HDx40KJ783pOUcfHiRYSHh+OXX35Bq1atUK1aNYwZMwYtW7bEsmXLAACdO3fGunXrsH37dmRlZeHcuXO6aQXanzURPeHq6qrr3b5w4QLWrFmDtWvXIiYmRu/5AwYMwKpVqzB37lzExsZi4cKFKFmyJAD5O9amTRs0aNAAhw8fxubNm/Hvv//i5ZdfNld1iKiYsLOzw9y5c3Hy5EmsWLECO3bswNixY3XPv/XWW0hLS8OePXtw4sQJzJgxAyVLloS/vz/Wrl0LADh79iwSEhIwZ84cRWJ6//338d577yE6OhrNmzdHjx49kJycDAC4du0a+vTpg65duyImJgbDhg3DuHHjcry+oGvROXPmIDg4GMOHD9ddw/r7+xvU9r7//vvYuXMn1q9fj61bt2LXrl04cuSIIvUmwzmoHQCRMerVq4dJkyYBAJ555hl8++232L59Ozp27IirV6/Cx8cHHTp0gKOjIypVqoQmTZoAkMMm7e3t4e7uDh8fH115FSpUyDHc8p133sHmzZvxyy+/oGnTpgXGk997kjKOHj0KIQSeffbZHMfT0tJQtmxZAMDw4cNx8eJFdOvWDY8fP4aHhwdGjhyJyZMnw97eXo2wiSzWoUOH8PPPP6N9+/YA5FSOH374AV5eXnrPP3fuHNasWYPIyEh06NABAFC1alXd8wsWLECjRo3w+eef644tXboU/v7+OHfuXK7fXSIiY2UfiRMQEIBPPvkEb775JubPnw9AXpf17dtX1wmSva0qU6YMAKB8+fJ5zuE2xttvv42+ffsCkO3h5s2bsWTJEowdOxYLFixA1apVMWvWLGg0GtSoUUN3Q0CroGtRT09PODk5oUSJEjmuYQtqe/38/LBkyRKsXLkSHTt2BCA7sCpWrKhY3ckwTLzJKtWrVy/H976+vrhx4wYA4KWXXsLs2bNRtWpVdOnSBV27dkX37t3h4JD3xz0zMxPTp0/H6tWrER8fj7S0NKSlpcHNzc2geIx5TyqcrKws2Nvb48iRI7mSaG2Pm0ajwYwZM/D5558jMTERXl5e2L59OwC5qB5RcffHH3+gZMmSyMjIwOPHj9GzZ0988803mD9/PipXrpxn0g0AMTExsLe3R5s2bfQ+f+TIEezcuVP3+5jdxYsXmXgTkWJ27tyJzz//HKdPn0ZqaioyMjLw6NEj3L9/H25ubnj33Xfx5ptvYuvWrejQoQP69u2b69pRacHBwbp/Ozg4oHHjxoiNjQUAxMbGolmzZropjk+fDxh/LVpQ2/vw4UOkp6fneL8yZcqgRo0aRtWTjMeh5mSVHB0dc3yv0WiQlZUFAPD398fZs2cxb948uLq6YsSIEWjdurVuOKU+X3/9NWbNmoWxY8dix44diImJQefOnZGenm5QPMa8JxVOw4YNkZmZiRs3bqB69eo5Htnv/AKAvb09KlSoACcnJ4SHhyM4OBjly5dXKXIiy9GuXTvExMTg7NmzePToEdatW6f73Sjo4s7V1TXf57OystC9e3fExMTkeJw/fx6tW7dWrA5EVLxduXIFXbt2RWBgINauXYsjR45g3rx5AJ4sDDls2DBcunQJ/fv3x4kTJ9C4cWN88803hXofDw8P3Lt3D5mZmTmOZ2Zm4t69e/D09CywDG2ibcgCr8ZeixbU9nJxWcvBxJtskqurK3r06IG5c+di165diIqKwokTJwAATk5OuRrRvXv3omfPnnj99ddRv359VK1aVbdglxLvSYa5d++e7g8GAMTFxSEmJgZXr17Fs88+i9deew0DBgzAunXrEBcXh7///hszZsxAREQEACApKQkLFy7EmTNnEBMTg5EjR+KXX37h9nFE/3Fzc0P16tVRuXLlXDcwC1K3bl1kZWVh9+7dep9v1KgRTp06hSpVquS6OWbo6CEiooIcPnwYGRkZ+Prrr9GsWTM8++yzuH79eq7z/P39ERoainXr1uG9997D4sWLAcjrQAC5rgWfVrNmTWRmZiI6OjrH8aNHjyIzMzNXj/GBAwd0/87IyMCRI0dQs2ZNAEDt2rVzPP/0+YBh16L6rmELanurV68OR0fHHO93+/ZtnDt3Lt/6k/KYeJPNWb58OZYsWYKTJ0/i0qVL+OGHH+Dq6orKlSsDkEOO9+zZg/j4eN2Kj9WrV0dkZCT279+P2NhYvPHGG0hMTFTsPckwhw8fRsOGDdGwYUMAQFhYGBo2bIiPP/4YALBs2TIMGDAA7733HmrUqIEePXrg4MGD8Pf315WxYsUKNG7cGC1atMCpU6ewa9cuzrcnUkCVKlUwcOBADBkyBBs2bEBcXBx27dqFNWvWAJCLGd26dQuvvPIKDh06hEuXLmHr1q0YMmRIgRe4RERPS0lJydWLe/XqVVSrVg0ZGRn45ptvdNdcCxcuzPHaUaNGYcuWLYiLi8PRo0exY8cO1KpVCwBQuXJlaDQa/PHHH7h582aO1dCzq127NkJCQjBkyBBs27YNcXFx2LZtG4YOHYqQkBDUrl07x/nz5s3D+vXrcebMGbz11lu4ffs2hgwZAgAIDQ3FxYsXERYWhrNnz+Lnn3/OtQ+4IdeiVapUwcGDB3H58mUkJSUhKyurwLa3ZMmSGDp0KN5//31s374dJ0+exKBBg2BnxzTQ3Pg/TjanVKlSWLx4MVq0aIF69eph+/bt+P3333ULcE2dOhWXL19GtWrVdPMZP/roIzRq1AidO3dG27Zt4ePjg169ein2nmSYtm3bQgiR66H94+To6IgpU6YgLi4O6enpSEhIwLp163SLp5QrVw5RUVG4d+8e7t+/j23bthm0OB4RGWbBggV48cUXMWLECNSsWRPDhw/H/fv3AQB+fn7466+/kJmZic6dOyMwMBAjR46Ep6cnL/CIqNB27dqluxmvfXz88cdo0KABZs6ciRkzZiAwMBA//fQTpk2bluO1mZmZeOutt1CrVi106dIFNWrU0C28VqFCBUyZMgXjxo2Dt7c33n777TxjWLVqFTp06IA333wTtWvXxptvvon27dvr3XJ2+vTpmDFjBurXr4+9e/fit99+Q7ly5QAAlSpVwtq1a/H777+jfv36WLhwYY7F0ADDrkXHjBkDe3t71K5dG15eXrh69apBbe+XX36J1q1bo0ePHujQoQNatmyJoKCgQv9MqGg0ggP/iYiIiIiICu3y5csICAhAdHQ0GjRooHY4ZMF4C5qIiIiIiIjIhJh4ExEREREREZkQh5oTERERERERmRB7vImIiIiIiIhMiIk3ERERERERkQkx8SYiIiIiIiIyISbeRERERERERCbExJuIiIiIiIjIhJh4ExEREREREZkQE28iIiIiIiIiE2LiTURERERERGRCTLyJiIiIiIiITIiJNxEREREREZEJMfEmIiIiIiIiMiEm3kREREREREQmxMSbiIiIiIiIyISYeBMRERERERGZEBNvIiIiIiIiIhNi4k1ERERERERkQky8iYiIiIiIiEyIiTcRERERERGRCTHxJiIiIiIiIjIhJt5EREREREREJsTEm4iIiIiIiMiEmHgTERERERERmRATbyIiIiIiIiITYuJNREREREREZEJMvImIiIiIiIhMiIk3EREREdm0PXv2oHv37vDz84NGo8GGDRvyPX/Xrl3QaDS5HmfOnDFPwERkcxzUDoCIiIiIyJTu37+P+vXrY/Dgwejbt6/Brzt79iw8PDx033t5eZkiPCIqBph4ExEREZFNCwkJQUhISKFfV758eZQqVUr5gIio2GHirUdWVhauX78Od3d3aDQatcMhIgUIIXD37l34+fnBzo6zbIqK7SSR7WE7mVvDhg3x6NEj1K5dGx9++CHatWuX7/lpaWlIS0vTfZ+VlYVbt26hbNmybCuJbISxbSUTbz2uX78Of39/tcMgIhO4du0aKlasqHYYVo/tJJHtYjsJ+Pr6YtGiRQgKCkJaWhp++OEHtG/fHrt27ULr1q3zfN20adMwZcoUM0ZKRGopbFupEUIIE8ZjlVJSUlCqVClcu3Ytx7weIrJeqamp8Pf3x507d+Dp6al2OFaP7SSR7Sku7aRGo8H69evRq1evQr2ue/fu0Gg02LhxY57nPN3jnZKSgkqVKrGtJLIhxraV7PHWQzsUyMPDg40kkY3hUD9lsJ0ksl1sJ/Vr1qwZfvzxx3zPcXZ2hrOzc67jbCuJbE9h20pO4CEiIiIiKkB0dDR8fX3VDoOIrBR7vImIiIjIpt27dw8XLlzQfR8XF4eYmBiUKVMGlSpVwvjx4xEfH4+VK1cCAGbPno0qVaqgTp06SE9Px48//oi1a9di7dq1alWBiKyc6j3e8+fPR0BAAFxcXBAUFIS9e/fme/7u3bsRFBQEFxcXVK1aFQsXLszz3FWrVkGj0RR6Do9NSEkBYmKAmzfVjoSIiGydEMD162pHQZSnw4cPo2HDhmjYsCEAICwsDA0bNsTHH38MAEhISMDVq1d156enp2PMmDGoV68eWrVqhX379uHPP/9Enz59VImfiAohIUHtCPRSNfFevXo1Ro0ahYkTJyI6OhqtWrVCSEhIjoYvu7i4OHTt2hWtWrVCdHQ0JkyYgHfffVfv3ccrV65gzJgxaNWqlamrYVmEAKZPBypWBBo2BPz8gMGDgdRUtSMjIiJbdOcO0K2b/LuzerXa0RDp1bZtWwghcj2WL18OAFi+fDl27dqlO3/s2LG4cOECHj58iFu3bmHv3r3o2rWrOsETkeEOHAAqVAD+/lvtSHJRNfGeOXMmhg4dimHDhqFWrVqYPXs2/P39sWDBAr3nL1y4EJUqVcLs2bNRq1YtDBs2DEOGDMFXX32V47zMzEy89tprmDJlCqpWrWqOqliOKVOA8eOBLl2AefOAN94Afv0VaNKEvRFERKS8Tz8Fdu8GnnsO6N8fOHtW7YiIiKi4+vNP2RG5YoXakeSiWuKdnp6OI0eOoFOnTjmOd+rUCfv379f7mqioqFznd+7cGYcPH8bjx491x6ZOnQovLy8MHTrUoFjS0tKQmpqa42GVDhyQifeQIcBbbwG1awMvvgjMnw/cvg107Ci/EhERKSEtDVi2DOjaFfjkE8DV1SIvdoiIqJiIjAQ0GiA8HMiWH1oC1RLvpKQkZGZmwtvbO8dxb29vJCYm6n1NYmKi3vMzMjKQlJQEAPjrr7+wZMkSLF682OBYpk2bBk9PT93D39+/kLWxAFlZQGgoULMm8OqrOZ/z9we+/BL45x/ZG5GVpU6MRERkWzZsAG7dAl54AXByAlq3Bn76iX9niIjI/FJS5BDzHj3k36Y9e9SOKAfVF1d7ev8zIUS+e6LpO197/O7du3j99dexePFilCtXzuAYxo8fj5SUFN3j2rVrhaiBhYiIAI4dA0aMAOztcz9fqZIcgh4RAXz9tfnjIyIi27N+vbzhW7my/L5DB+DqVSAqSt24iIio+Nm7V974ffFFwM4OyLaTgSVQbTuxcuXKwd7ePlfv9o0bN3L1amv5+PjoPd/BwQFly5bFqVOncPnyZXTv3l33fNZ/d90dHBxw9uxZVKtWLVe5zs7OcHZ2LmqV1DVrlhxaXrdu3uc0awa8/DIwcSLQqRNQv7754iMiItsihJzb3bbtk2N16wIeHsC2bUCLFqqFRkRExdClS3L0VYUKQLlygIV1pqrW4+3k5ISgoCBERkbmOB4ZGYnmzZvrfU1wcHCu87du3YrGjRvD0dERNWvWxIkTJxATE6N79OjRA+3atUNMTIx1DiE3xJkzwI4dgCFbXAwZInu/Bw60uHkPRERkRS5cABITc97EtbMD6tSRvQ5ERETmFB8PeHnJOd7lyzPxzi4sLAzff/89li5ditjYWIwePRpXr15FaGgoADkEfMCAAbrzQ0NDceXKFYSFhSE2NhZLly7FkiVLMGbMGACAi4sLAgMDczxKlSoFd3d3BAYGwsnJSZV6mtyqVUDJkoAhW6c5OQHvvw+cPAl88YXpYyMiItu0e7dMtJ8eaVW3rlzsMyNDnbiIiKh4un4dKFtW/rtcOTn1yYKoNtQcAPr164fk5GRMnToVCQkJCAwMREREBCr/N1csISEhx57eAQEBiIiIwOjRozFv3jz4+flh7ty56Nu3r1pVUJ8QMvFu3lwm1YaoUQN46SW5Au1LLwHPPmvaGImIyPbs3Qs88wzg5pbzeN26wP37QHS03GKMiIjIHP7550ni7e0NHD6sbjxPUTXxBoARI0ZgxIgRep9bvnx5rmNt2rTB0aNHDS5fXxk25cQJuWfqoEGFe93AgfKi6Y035DD1fBa0IyIiyuXvv+WN3KfVqAE4OwP79jHxJiIi84mPBxo0kP/28pLfC2ExeY7qq5pTEf35p9w3NSiocK9zcQFGjgR27ZJbvxARERnqwQN50/eZZ3I/5+gIVKsGFOImORERUZElJMgh5oCc4/3oEfDfltOWgIm3tdu8GWjYUF7oFNZzzwHPPw+MHi33uiMiIjLEiRNyyxZ9iTcAVK/OxJuIiMwnNRW4dy9n4g1Y1DxvJt7W7O5dYP/+og3lGzFC3g2aMEG5uIiIyLZFRwP29kBAgP7nq1eXPeIPH5o3LiIiKp7i4+VXbeLt5SW/WtDK5qrP8aYi2LlTrhpblMS7bFlg8GDg22/l16ZNlYuP1HHunJyCcO6cnNNSpw7Quzfg56d2ZERkK6KjgSpV8l7U85lngMxM2TPepIlZQyMiomLo6cS7VCnAweHJcQvAHm9rtmsX4OsrN4kvip495UXSG29w+xdrduYM8MILcmGj8eOB7duBrVvlVAJ/fyA0lFMKiEgZ0dFyHndeqlaVPeLR0eaLiYiIiq/r1+VX7armdnYy+eYcb1LEnj1AYGDRy7G3l8nZ8ePAggVFL4/MSwhg3jy5iuOxYzLp3rgRWLQI+P57YN06eVPl55/lORa2tQIRWZmsLOD0aZlc58XJSfaIM/EmIiJzSEgAPDzkrhpanp5MvEkB9+4BMTFyv1Ql1KwJdO8OfPih/OCSdcjIAP7v/4C33wa6dgWWLgU6dco5/LNkSeDll4HFi+W/27YFIiNVC5mIrNyVK3Kf7rzmd2tVqSJv6BIREZlaUpJMtLPz8ACSk9WJRw8m3tYqKkrOn6tXT7kyhw6Vvd9jxihXJplOWhrw4ovA8uXABx8A776b93xLAPD2BmbOlKMkevSQUxWIiArr1Cn5tUqV/M+rWlWeK4TJQyIiomIuOVkm2tm5u7PHmxSwb5+8q1OpknJlenjI3tOffwZ27FCuXFLe48eyF3vTJmDqVKBLF8Ne5+Iiz69TR87tP3HCtHESke05eVKOntGuGJuXgAC5vYsFbeVCREQ26tYtmWhnx6HmpIiDB4HateWq1Urq3Fn2or/1FpCermzZpIysLGDQICAiApgyBQgOLtzrnZxk8u3tLYen//uvScIkIht16pTs7S7o7492Djhv8BERkaklJeVOvDnUnIpMCODQIbl6tdI0Gjlk+fx5YPZs5cunohFCLoQXHi7n4zdrZlw5JUoAn30m99jt3VsOWyciMsTJk0DlygWfV7687Bln4k1ERKZ261buoeYeHha1ow8Tb2sUFwfcvi0XRDOFatWAXr1kr+g//5jmPcg4X30FzJ0LjBwJtGlTtLK8vOTP+PBh4J13lImPiGxbZqbcurCg+d2AvJEbEMDEm4iITE/fHG9PT7kgtYV0MDHxtkaHDsmvpkq8ATmU2cUFeO89070HFU54ODB2LPDaa3J+thJq15Y96IsXAwsXKlMmEdmuuDjg0aOCVzTXCgjgyuZERGRaQuTd4w1YzHBzJt7W6O+/AT+/3EvmK6lkSbnQ2po1wPbtpnsfMsyOHcDAgXIO/tChypYdEiKHm7/zDlc6J6L8nT4tvxoy1ByQiffZs1wzhIiITOfePbnFrr4eb4CJNxXB4cPAM8+Y/n06dpQLrb39Ni+a1BQTIxPj+vXlCASlF9QDgBEj5M+6Tx/gwgXlyyci23D6tLwxW7asYedXqyYvhs6cMW1cRERUfGkTaybepCghZCJmjsRbo5G9oOfOyXnFZH7nzslebj8/uYK5o6Np3sfBAZg0Sa4G2aULcPOmad6HiKzb6dOGrWiupR2SznneRERkKtrEWt+q5oDFbCnGxNvaxMXJfVGrVzfP+1WvLucTT5kCxMeb5z1JungReP55uQL5tGnyqyl5eMj3uX1bJvspKaZ9P1LU/PnzERAQABcXFwQFBWHv3r15nrtu3Tp07NgRXl5e8PDwQHBwMLZs2WLGaMlqnTwJVKpk+PklS8qtC5l4ExGRqWhXLn96Gq6bG2Bnxx5vMlJMjPxqjh5vrSFD5N7PXGjNfGJjgdatAXt74MsvgVKlzPO+fn7AjBlyuHmnTsCdO+Z5XyqS1atXY9SoUZg4cSKio6PRqlUrhISE4OrVq3rP37NnDzp27IiIiAgcOXIE7dq1Q/fu3REdHW3myMmqZGXJIeOGzu/W4srmRERkSnkNNbezk8k4E28ySnS0nFtXpoz53lO70Nrq1cC2beZ7X0slhExMV68Gvv4a+Pxz4JtvgN9/V2b7tZ07gebN5aryM2cC5coVvczCqF5dJvtnz8otyxISzPv+VGgzZ87E0KFDMWzYMNSqVQuzZ8+Gv78/FixYoPf82bNnY+zYsXjuuefwzDPP4PPPP8czzzyD33//3cyRk1W5fBl4+NCwrcSyq1r1yU1jIiIipd26JadNurrmfs7Dw2KGmjuoHQAVUnS0XKzG3Dp1AjZtAt58U/ZcuLiYPwa13bwJLFgArFgBXLokj7m5ydEA9+4Bjx/LY9WrA927Ay++CAQHGz4XMiND9jZPmgQ0aABMnixveqihRg2Z9I8bBzRrBkREAHXqqBML5Ss9PR1HjhzBuHHjchzv1KkT9u/fb1AZWVlZuHv3Lsrkc0MvLS0Nadn2wUxNTTUuYLJeJ0/Kr4ZuJaZVrRrw88+yDfXyUj4uIiIq3pKTZc+2vmtud3eLGcHJHm9rc+yYOom3RgOMGiV7PD7/3Pzvr6Z794CJE+XwyunTZVL6+efAhg3AH38A69YBW7YAq1bJZLlWLeCHH4AWLeQF6rhxciV6IfSXn5kJ/PYb0LAh8PHHwCuvyARcraRbq2pV2ZPv6Ch74DkH2CIlJSUhMzMT3t7eOY57e3sjMTHRoDK+/vpr3L9/Hy+//HKe50ybNg2enp66h7+/f5HiJit08qS8gCnsKBzt1Cj2ehMRkSkkJ+deWE3LzY2JNxnhzh05lLmwvQ1KqVJFJoXTpz/p+bB127YBtWvLIeV9+sjkeuxY2ZOdfQEHjUYuINSmDRAWJs+bNQuoWxdYuBB47jnAx0f2gn/8MTB7tlzIbNAgwN8f6NVLzueeP1/u021vr1KFn+LtDcyZI3u7u3YFFi1SOyLKg+apu7xCiFzH9AkPD8fkyZOxevVqlC9fPs/zxo8fj5SUFN3j2rVrRY6ZrMyJE/KGXGG3NKxQQS4OyTUESEV79uxB9+7d4efnB41Ggw0bNhT4mt27dyMoKAguLi6oWrUqFi5caPpAiajwbt/OP/HWLr6mMqOGmsfFxSFAreSvONMuTlO1qnoxvP46sHevTBgPHJDzKWzR48fAhAnAV18BjRrJmw1+foa/3t5eDhdv0AAYOVL+7A4floum7d0rV6Z3dpbJeIsWcvXyWrVMVZuicXMDPvkE+PZb4I035F3F8ePVjsomKNGWlitXDvb29rl6t2/cuJGrF/xpq1evxtChQ/HLL7+gQ4cO+Z7r7OwMZ2fnIsVKVu7ECeNGXNnZydcx8SYjKdFW3r9/H/Xr18fgwYPRt29fg96za9euGD58OH788Uf89ddfGDFiBLy8vAx6PRGZ0Z078npVH3d3OWLXAhiVNVWvXh2tW7fG0KFD8eKLL8KlOM73VcOJEzLRLcxWLkpzcpI9vm+/LYdbf/yxerGYSmKi7Jk+eFDOaX/xRXnhaCwHBzmMvGFD5WI0N3t74N135erqEybI4edjxqgdldVToi11cnJCUFAQIiMj0bt3b93xyMhI9OzZM8/XhYeHY8iQIQgPD8cLL7xgVPxUjKSnywUXC7hBk6dq1YCjR5WNiYoNJdrKkJAQhISEGHz+woULUalSJcyePRsAUKtWLRw+fBhfffUVE28iS3P7dt5TNEuWtO6h5seOHUPDhg3x3nvvwcfHB2+88QYOHTqkdGz0tBMn5LBkR0d146hVS/Z8T50KREWpG4vSjhwBgoLkBeasWcDLLxct6bYlGg0wcCDw6qvA++8Da9eqHZHVU6otDQsLw/fff4+lS5ciNjYWo0ePxtWrVxEaGgpADhMfMGCA7vzw8HAMGDAAX3/9NZo1a4bExEQkJiYihXu3U17OnZMLQBo74urZZ4Hz5wF+xsgIalx3RkVFoVOnTjmOde7cGYcPH8Zj7WKqeqSlpSE1NTXHg4hMLL+h5u7u8nkLYFRGERgYiJkzZyI+Ph7Lli1DYmIiWrZsiTp16mDmzJm4efOm0nESABw/rt787qcNGCAT8JdekivV2oJffwVatZJztxcsAAID1Y7IMg0bJueyDxnyZHV3MopSbWm/fv0we/ZsTJ06FQ0aNMCePXsQERGByv/tt5yQkJBjT+/vvvsOGRkZeOutt+Dr66t7jBw50iT1JBugHSZu7OKetWvLBSZ5k56MoMZ1Z2Jiot5FKzMyMpCUz9ZEXIiSSAV37uTf4333LpCVZdaQ9ClSV56DgwN69+6NNWvWYMaMGbh48SLGjBmDihUrYsCAAUjg/r/KEUIuaGYpibe9vRxm/vAh0LcvkG2bIasjhJzD/NJLctG0WbPMv3e2NdFo5DBzd3c51z+v1drJYEq0pSNGjMDly5eRlpaGI0eOoHXr1rrnli9fjl27dum+37VrF4QQuR7Lly83Qe3IJhw9ClSsmPccuoL4+8s248ABZeOiYsXc1536Fq3Udzw7LkRJpIKUlPwTbyEsYsRVkRLvw4cPY8SIEfD19cXMmTMxZswYXLx4ETt27EB8fHy+8wupkOLj5YJcVaqoHckTXl7AlClyLvTAgXJbLGtz964cTv7xx8DgwcCHH8pFzyh/JUsCo0fLheJ++EHtaKwe21KyeEePFm0rSzs7OUrK1qYnkVmZs6308fHRu2ilg4MDypYtm+frnJ2d4eHhkeNBRCaUkSGv5/NLvAGLmOdt1OJqM2fOxLJly3D27Fl07doVK1euRNeuXWH331zYgIAAfPfdd6hZs6aiwRZrp07Jr5bS460VGCj3uJ46VV5YLV8uF2Arijt35J7RO3fKOdeXL8u9tJ2d5bY0DRoA7doB3bvL7a6Mdfy47OX+5x8Zf6tWRYu7uAkKkj+H8ePlzQsuslhobEvJKmRlyT24+/UrWjm1awO//SZ7Hgq7JRkVa2q0lcHBwfj9999zHNu6dSsaN24MR7XX2iGiJ7Q92QUl3rdvq55HGdXjvWDBArz66qu4evUqNmzYgG7duukaP61KlSphyZIligRJAE6flomNj4/akeTWujXw0UdyjnSHDrJ3vrAePgTWrAG6dQPKlwf+9z9g82agbFmgRw9g+HB50ffMM3Ku4RtvyO29QkKA9evl3S5DpafLPbSfe0720i9YwKTbWIMHy1Xgub+3UdiWklW4dEmOuKpevWjlBAbKCx/tjWQiAynRVt67dw8xMTGIiYkBILcLi4mJ0a1/8fQilKGhobhy5QrCwsIQGxuLpUuXYsmSJRjDHT2ILIu2JzuvxFu76Jq19nhHRkaiUqVKuRo9IQSuXbuGSpUqwcnJCQMHDlQkSIK8UKlcWc6ttkRt2gBlysi50oGBcgj68OGAq2ver3n8GNi1C1i9GvjlF3lhV7u2TKpbtZIJeF5SUoDdu2XPeJ8+gK+vXOxrwAC5eq4+aWnyfaZOlReSL74oX1PUHvrizN8f6NRJ7nP+5pvqr7hvZdiWklU4fFh+zattNVRgoBy5FBnJxSupUJRoKw8fPox27drpvg8LCwMADBw4EMuXL8+1CGVAQAAiIiIwevRozJs3D35+fpg7dy63EiOyNAUl3tl7vFWmEaLwKyPZ29sjISEB5Z9KjJKTk1G+fHlkWuNc32xSU1Ph6emJlJQUy5mb06wZ4OEh91C2ZCkpsvdz0ya553PPnnLBMn9/uZ/1rVtyS5m//5ZJd2qqHD7+/PNAx47yvMK6cAH4/Xdgxw45JL1mTXkj4Nlnn2whEBMjk/Rbt2Q8Q4cWbb4iPXHpkvz/DA+XIxUslCX+XltzW2qJ/59kIu+8A2zYoMx6Du+/L0cybd5c9LJIcZb6e822kojytG2bzCF+/ll2xD0tM1OOyP3+e3m9qgBjf6+N6vHOK1e/d+8eXDjPU3lCALGxFp3U6Hh6ygurV18FIiKeLL6V/Y+ih4ccMv7ii/KGQvXqRZvvV726XOhrxAi50NvBg/KXcMUK4NEjeafL3x/o0kX+YlrSAnW2oGpVoGFDYM4c6/iMWhC2pWQV9u1Troe6ceMnbTM/42QgtpVElKeCerzt7eVz1jbUXDssR6PR4OOPP0aJEiV0z2VmZuLgwYNo0KCBogESnqxo/t+evFahQgU51Hz4cDmnOiVFJt8lS8rtaEyxsI6zs5xvnm0bJS7iYyY9ewKTJ8u1CGrXVjsai8e2lKzG3btyIcoOHZQp77nngIUL5Qilrl2VKZNsFttKIiqQNqHO1j7kUrKkRQw1L1TiHR0dDUDeeTxx4gScss2NdXJyQv369bnohCmcPi2/WlPinZ2Tk9x6TA1Mus0jOFiOZPjhB7lwHeWLbSlZjQMH5KrmSvV4BwTIUUfh4Uy8qUBsK4moQHfuyMQ6v3Ww3N2tr8d7586dAIDBgwdjzpw5nKtiLrGxsjfXElc0JwLkzZW2bYGVK4FPP7XcRQAtBNtSsho7dwKlSxu3/oY+Go1c02P1auD+fTkCiigPbCuJqEC3bz9ZuTwvbm4W0eNt1HZiy5YtY+NnTqdPA5UqMZkhy9axI3D9OhAVpXYkVoNtKVm8P/6Q87LtjLpc0O/552XS/euvypVJNo1tJRHlSdvjnR83N+vq8e7Tpw+WL18ODw8P9OnTJ99z161bV+TAKJvTp5XrbSAyldq1gXLlgLVrgZYt1Y7GYrEtJavxzz/AiRNAr17KlluhglxY88sv5RaQnBJEerCtJCKDGJJ4a3c5UpnBibenpyc0//1x9PT0NFlA9BQh5B7evXurHQlR/uzsgBYtZOI9cyYvpvPAtpSsRkSEHGn13HPKl/2//wGjRgF//gl066Z8+WT12FYSkUFu385/YTVAJuaXL5slnPwYnHgvW7ZM77/JxG7elB+oSpXUjoSoYK1bA7/9Bhw9CgQFqR2NRWJbSlbj55+B+vULnjtnjHr1gAYN5PaTnTsDjo7KvwdZNbaVRGSQ27eBUqXyP8dCthMzatLWw4cP8eDBA933V65cwezZs7F161bFAqP/xMbKr9x7mqxBvXqycYuIUDsSq8C2lCzWpUvA7t1Aly6mKV+jAd56Czh3Dvj2W9O8B9kMtpVElCdDhpqXLCm3NlaZUYl3z549sXLlSgDAnTt30KRJE3z99dfo2bMnFixYoGiAxd7p04CDg5wTR2TpHByARo3k8FEqENtSsljLlskLlVatTPce1asDPXoAH30EXLliuvchq8e2kojydPu2YYn3w4dAWpp5YsqDUYn30aNH0eq/P8a//vorfHx8cOXKFaxcuRJz585VNMBiLzYWqFhRJjRE1qBpU+DQISApSe1ILB7bUrJIKSmyF7pjR8DFxbTvNWyYnJv39tumfR+yamwriShPKSkFT4nSJuYqDzc3KvF+8OAB3P+r4NatW9GnTx/Y2dmhWbNmuMK71srSbiVGZC2aNJGLAnIIYIHYlpJFmjsXePAAePVV07+Xm5sccv7HH8CmTaZ/P7JKbCuJSK9Hj+TDkB5vwDoT7+rVq2PDhg24du0atmzZgk6dOgEAbty4wX0WlcbEm6xNuXJAQACwfbvakVg8tqVkca5cAWbMkEPAy5Uzz3u2bi0XYxw9GsjMNM97klVhW0lEemkTaUO2EwNU31LMqMT7448/xpgxY1ClShU0bdoUwcHBAORdyIYNGyoaYLGWkgIkJDDxJuvTqBEQGSl7vilPbEvJoggBvPmmHPo9aJD53lejkUPOz54Ffv3VfO9LVoNtJRHppU2kbXmo+YsvvoirV6/i8OHD2Lx5s+54+/btMWvWrEKVNX/+fAQEBMDFxQVBQUHYu3dvvufv3r0bQUFBcHFxQdWqVbFw4cIczy9evBitWrVC6dKlUbp0aXTo0AGHDh0qVEwW48wZ+bVyZXXjICqsRo2Aa9eAixfVjsSiKdmWEhXZ4sVyuPfIkXIIuDnVrCmnqXz6KW/YUS5sK4lIL0N7vK058QYAHx8fNGzYEHZ2T4po0qQJatasaXAZq1evxqhRozBx4kRER0ejVatWCAkJwdWrV/WeHxcXh65du6JVq1aIjo7GhAkT8O6772Lt2rW6c3bt2oVXXnkFO3fuRFRUFCpVqoROnTohPj7e2Kqq5/Rp2RPAHm+yNvXrA/b2HG5uACXaUqIiu3BBDvV+4QWgRQt1Ynj5ZeDkSeCvv9R5f7JobCuJKBdDE29XV3ldqnLibdRS2ffv38f06dOxfft23LhxA1lZWTmev3TpkkHlzJw5E0OHDsWwYcMAALNnz8aWLVuwYMECTJs2Ldf5CxcuRKVKlTB79mwAQK1atXD48GF89dVX6Nu3LwDgp59+yvGaxYsX49dff8X27dsxYMCAwlZVXadPA76+pl9Vlkhpbm5AjRrArl3AG2+oHY3FUqotJSqSzExgwACgdGm50JlaGjaUW2cuXgy0bKleHGRx2FYSkV7aoeYFJd4ajTxH5TneRiXew4YNw+7du9G/f3/4+vpCo9EUuoz09HQcOXIE48aNy3G8U6dO2L9/v97XREVF6RbU0OrcuTOWLFmCx48fw9HRMddrHjx4gMePH6NMmTJ5xpKWloa0bPu6paamFqYqphMby95usl716snEWwjZ4FEuSrSlREW2YAFw4AAwZ47sFVCLnR0QEgL8+CPwzTcAF82i/7CtJCK97tyRWy4b0knp7m6dPd6bNm3Cn3/+iRZFGI6WlJSEzMxMeHt75zju7e2NxMREva9JTEzUe35GRgaSkpLg6+ub6zXjxo1DhQoV0KFDhzxjmTZtGqZMmWJELUzs1Cm5JzKRNapfH1i1Sg5hfeYZtaOxSEq0pURFkpgITJwoh5jXrat2NECHDsD33wN//gm88ora0ZCFYFtJRHrdvi0TakNuxpUsqXribdQc79KlS+fbg1wYT9+1FELkeydT3/n6jgPAF198gfDwcKxbtw4u+dwJGT9+PFJSUnSPa9euFaYKpnH/vtzWhQurkbUKDJQ9WLt3qx2JxVKyLSUyyqRJ8oJl+HC1I5G8vYFatbi6OeXAtpKI9Lpzp+AVzbXc3FQfam5U4v3JJ5/g448/xoMHD4x+43LlysHe3j5X7/aNGzdy9Wpr+fj46D3fwcEBZcuWzXH8q6++wueff46tW7eiXr16+cbi7OwMDw+PHA/VnT0rh+gy8SZrVbIkUL06sGeP2pFYLCXaUiKjxcbK3uXXXrOsYd2tWwMREcC9e2pHQhaCbSUR6XXnTsHzu7WsdY73119/jYsXL8Lb2xtVqlTJNbf66NGjBZbh5OSEoKAgREZGonfv3rrjkZGR6Nmzp97XBAcH4/fff89xbOvWrWjcuHGOGL788kt8+umn2LJlCxo3blyYqlmO06flV87xJmtWty5QwBaBxZkSbSmR0SZPBsqXB/L4m6uaVq2A776TuyJYWmykCraVRKTX7duFS7zzmM5sLkYl3r169VLkzcPCwtC/f380btwYwcHBWLRoEa5evYrQ0FAAcgh4fHw8Vq5cCQAIDQ3Ft99+i7CwMAwfPhxRUVFYsmQJwsPDdWV+8cUX+Oijj/Dzzz+jSpUquh7ykiVLoqShPxhLcPq0vCCyppiJnla3LrB2LRAfL1crphyUakuJCu3kSeCXX4CwMMDJSe1ocqpQAfD3l3uKM/EmsK0kojzcvi2HkBvCw0OO9FKRUYn3pEmTFHnzfv36ITk5GVOnTkVCQgICAwMRERGByv8Nr05ISMixp3dAQAAiIiIwevRozJs3D35+fpg7d65uKzEAmD9/PtLT0/Hiiy/minny5MmKxG0Wp04BVaqoHQVR0WgXa/rrL7lHL+WgVFtKVGiffCLnU3furHYk+jVuLBNv7opAYFtJRHm4fRuoWNGwc93dgVu3TBtPAYxKvAHgzp07+PXXX3Hx4kW8//77KFOmDI4ePQpvb29UKETP1ogRIzBixAi9zy1fvjzXsTZt2uQ7pOjy5csGv7dFO3kSCApSOwqioilTRjaI+/Yx8c6DUm0pkcFOn5a93aNHA3q24bQITZsC69cDZ87Ixdao2GNbSUS53L5t+N8IDw8gJQXIzATs7U0bVx6MSryPHz+ODh06wNPTE5cvX8bw4cNRpkwZrF+/HleuXNENDScjPXgAxMUB2XryiaxWnTqc550HtqWkik8/lVOZLLW3G5DbETo6ApGRTLyJbSUR6ZecbPjioO7uchTVnTvAU4tym4tRq5qHhYVh0KBBOH/+fI5tukJCQrCHKxgX3Zkz8oPBoeZkCwIDgRMnuEKxHmxLyexOnABWrQJefdXy5nZn5+Ii244dO9SOhCwA20oiyuXxY+DuXcMTb+15Kg43Nyrx/vvvv/HGG2/kOl6hQoVc232REbQrmnMrMbIFderIYT2HDqkdicVhW0pmN3484OcHdO2qdiQFa9AA2LlTth9UrLGtJKJctFuDGbqPt/Y8a0u8XVxckJqamuv42bNn4eXlVeSgir2TJ+WiN4au0kdkySpXlo3dX3+pHYnFUbItnT9/PgICAuDi4oKgoCDszWd4f0JCAl599VXUqFEDdnZ2GDVqVGFDJ2v055/yMWwY4GD0Ei/m07AhkJoKcKuoYo/XnUSUizaB9vQ07Hxr7fHu2bMnpk6disePHwMANBoNrl69inHjxuVYYZyMdOIEEBCgdhREyrCzA2rXlgusUQ5KtaWrV6/GqFGjMHHiRERHR6NVq1YICQnJsStEdmlpafDy8sLEiRNRv359RepCFu7WLWDECLlaeJs2akdjmFq1AFdXDjcnXncSUW7JyfKrrfd4f/XVV7h58ybKly+Phw8fok2bNqhevTrc3d3x2WefKR1j8XP8OBNvsi2BgcCBA0BWltqRWBSl2tKZM2di6NChGDZsGGrVqoXZs2fD398fCxYs0Ht+lSpVMGfOHAwYMACeht4pJuv16BHwyityNdf33rOe7bkcHOSWhLt2qR0JqUzJ687CjA7atWsXNBpNrseZM2eKWiUiKipt4m3oHG8XF8DZWdXE26ixZh4eHti3bx927tyJI0eOICsrC40aNUKHDh2Ujq/4uXMH+OcfJt5kW+rUAZYskesXBAaqHY3FUKItTU9Px5EjRzBu3Lgcxzt16oT9+/crFmtaWhrS0tJ03+sb9kkq2bsXmDIFOHJELpjWqBHQoYNcGfzWLWDGDODUKeCzzwAfH7WjLZz69YHwcCAjwzqGx5NJKHXdqR0dNH/+fLRo0QLfffcdQkJCcPr0aVSqVCnP1509exYe2S7uObydyAJoE2hDe7wBmaRbU+KdlZWF5cuXY926dbh8+TI0Gg0CAgLg4+MDIQQ01nIn3VKdPCm/Vq2qbhxESqpZU+6ZuH8/E+//KNWWJiUlITMzE97e3jmOe3t7K7ro0LRp0zBlyhTFyiOFLFwoh5A/84zcgvLxY3mDa+JEQHujpGZNYM4coEYNdWM1RoMGwOLFcp53kyZqR0MqUPK6M/voIACYPXs2tmzZggULFmDatGl5vq58+fIoVapUUatCREpKTpbrYTk6Gv4ad3frGWouhECPHj0wbNgwxMfHo27duqhTpw6uXLmCQYMGoXfv3qaKs/g4cULe1c/nziuR1XF1BapX5wJr/zFFW/r0xafSN0LHjx+PlJQU3ePatWuKlU1GWrcOePNNoHdvYMEC4PXXgcGDgS+/BP74A/jxR2DNGvmcNSbdAPDss7L92LlT7UhIBUq2ldrRQZ06dcpx3JDRQQ0bNoSvry/at2+PnfwsElmGW7cMH2aupXLiXage7+XLl2PPnj3Yvn072rVrl+O5HTt2oFevXli5ciUGDBigaJDFyokTMukuzN0bImvABdZ0lGxLy5UrB3t7+1y92zdu3MjVC14Uzs7OcHZ2Vqw8KqIrV4AhQ4DWrYG33849b9vBAahQQZ3YlOTgIEfJ7NwJfPCB2tGQmSnZVhozOsjX1xeLFi1CUFAQ0tLS8MMPP6B9+/bYtWsXWrdurfc1nJZDZCbJyVaXeBeqxzs8PBwTJkzI1fgBwPPPP49x48bhp59+Uiy4YikmhvO7yTYFBgKXLgH//qt2JKpTsi11cnJCUFAQIiMjcxyPjIxE8+bNFYmXLIwQwFtvyfnc779vPYulGatBA3nT7r8Vran4MMV1Z2FGB9WoUQPDhw9Ho0aNEBwcjPnz5+OFF17AV199lWf506ZNg6enp+7h7+9fqPiIyEDJyUDJkoV7jbv7k0XZVFCoxPv48ePo0qVLns+HhITg2LFjRQ6q2MrKkiuaV6+udiREytPO7VZwwS9rpXRbGhYWhu+//x5Lly5FbGwsRo8ejatXryI0NBSAHCb+dI9QTEwMYmJicO/ePdy8eRMxMTE4ffq0cRUi8/r9d7kf99tvF/6iwxo1aADcvw8cPqx2JGRmSraVSo0OatasGc6fP5/n85yWQ2QmxvR4W9Piardu3cq3cfL29sbt27eLHFSxdfGivLhg4k22qHx5wNtbzvMu5utBKN2W9uvXD8nJyZg6dSoSEhIQGBiIiIgIVK5cGQCQkJCQa0/vhg0b6v595MgR/Pzzz6hcuTIuX75cuMqQeaWnyy3BGjcGWrVSOxrzqFFDLqCzcycQHKx2NGRGSraV2UcHZZ8bHhkZiZ49exocU3R0NHx9ffN8ntNyiMwkORmoUqVwr/HwAJKSTBKOIQqVeGdmZsIhn+087O3tkZGRUeSgiq2YGPm1WjVVwyAymTp1OM8bpmlLR4wYgREjRuh9bvny5bmOCSEKVT5ZiO++kzdpFy+2/SHmWvb2QL16wPbtwIQJakdDZqR0WxkWFob+/fujcePGCA4OxqJFi3KNDoqPj8fKlSsByFXPq1Spgjp16iA9PR0//vgj1q5di7Vr1xatYkRUdLduyS0nC6NUKeD2bdW2qCzUOwohMGjQoDzv5GVfTIKMEBMDeHkBpUurHQmRaQQGyhWWHz6UKxUXU2xLySh37gCTJwMhIcXvBm2jRsD33xf7tqO4UbqtLOzooPT0dIwZMwbx8fFwdXVFnTp18Oeff6Jr167GV4qIlHHrVuH28Aae5FhJSYCPj/IxFaBQiffAgQMLPIcrmhdBTAz37ybbVreuXCDp0CGgTRu1o1EN21IyyqefysRzyBC1IzG/oCBg3jw5YqZjR7WjITMxRVtZmNFBY8eOxdixYwtVPhGZwb17wIMHhe+sLFVKfv33X8tPvJctW2aqOEgIuXBM585qR0JkOgEBcjGovXuLdeLNtpQK7dQpYM4cYOBAoGxZtaMxvypVgHLlgMhIJt7FCNtKIhuUlQXYFWp979y0O+QUNvHWnn/jRtHe30hFrDUpJj5efgiefVbtSIhMx95eDjffs0ftSIisR2Ym8H//B/j5AS+/rHY06tBogIYNgS1b1I6EiIiMde0a4O8PdOoEXLlifDnaxLtMmcK9TtvjzcS7mNNuk1KjhrpxEJla3bpAVJRc2IKICvb558CBA3I1cycntaNRT7NmcstNbs9ERGR9MjOBvn3l9V9MDPDfooZGMbbH28UFKFGCiXexd/iwHD5YrpzakRCZVt26cm6OdhV/Isrbzz8DkyYB/fvLlb2LsyZN5KiZP/9UOxIiIiqsXbuAv/8Gxo+Xa5Vs3gycP29cWYmJ8u9BYffxBmSyrk3czYyJt6X4+285zLy4bA9DxVfNmvKO465dakdCVDQxMXKV8REjgJkz5ZQhpdy//yTh7tQJ4GJ7cn2IevWAjRvVjoSIiAorPByoUEFuAfb883LY97x5xpX1778ygTZmrnipUuzxLtaysmTizWHmVBw4Osr9vHfuVDsSIuPcuQO86P87UAAAKOlJREFU9pqcczx7NrBtm9xfOiAAmDgRKOx2cDduABERwDffAOPGAX36yIuTzz6TCff77xd9IRpbERwM7NgBpKSoHQkRERkqLQ349VegbVvZyejkBLRrB6xfLxeYLixt4m0MT0/VEm/z7xxOuZ07Jzdzr11b7UiIzKNBA2DNGjnPx4HNEFmRc+fkPto3bsiEuHNnOdzt3j15UfHll3Io9OrV+d9MzciQ58ybJ9c8AORNqXLlAF9foEcPoGtXVbY7sWht2wILFgAbNsgV3omIyPL99Ze8Ydq27ZNjzz0nE+8LF4BnnilceUVJvEuXlkPVVcBb6JYgKkre/alVS+1IiMyjQQPg7l3g6FG1IyEy3IEDssc1MxNYuFAmxvb28rmSJYFBg4D58+WN1KAgmSBmZeUsIyMD+PFHOeXi9dflvvYffCDncm/eLL9+/bWc/8akOzcvLznc/Oef1Y6EiIgMtWuXHOJdteqTYw0ayM6XyMjCl5eY+GSF8sIqXZpDzYu1/fvlB7FkSbUjITKPmjXlqpLbt6sdCZFh1qyRc9IqVgTmzpVDwfWpXl0m5W3byrnfdeoAn34KLF0KjB0LVKsm5237+ACLFske8i5dZC83h5Mb5vnnZduRkKB2JEREZIidO+VN0+x/51xd5d9IY7aJLEqPd6lSwM2bxg1xLyL+lbcE+/ezt5uKFwcHubjG1q1qR0LF2blzwJIlci713LnyrvudOznPiY+Xvc/9+gHNmwNffFHwKqqursCYMcC33wLlywMzZgBDhwLLlsl97Bctksl4YYfWkfT883JY/uLFakdCREQFefgQOHRIXvc9rWFDYM+e3KPDCnLjRuH38NYqXRp49AhITTXu9UXAyZVqu3ULiI0FundXOxIi82rcWPYM3r8PuLmpHQ0VJ3v2yEXQ9u2T03w8PYEHD4D0dPl9tWqyZzslBTh2TH4+w8KAbt0Kt/NEnTrAlCnyrnpW1pNh6VQ0JUsCHTrI9mP8eJmEExGRZTpwQP591Zd4BwYCy5cDZ88a3gn54IFcV8XYHu/y5eXXa9fk338zYuKttt275UVZgwZqR0JkXo0by/mte/bIxaqITC0pSSbQP/wgFz6bNAlo1kxub5eZKXu3T58GLl6UN0X9/GTvatu2RZsKpNEw6VZa797AH3/I+fKDB6sdDRER5WX/fvk3NCAg93M1a8rh54UZ/fvPP/JruXLGxaNNvK9elYm/GTHxVtuuXfLijovoUHHj7y8/9xERTLzJeI8fA2fOyEXLqlTRfwf88WN5R33cOHnemDHyM5d9rpm9PVCpknyQ5ataFWjdWu6j/uqrgLOz2hEREZE+2qRa3zombm6yPd+/X07JMsSVK/KrsblT2bLyb/7Vq8a9vgiYeKttxw79Qy+IbJ1GAzRtKnut5s4t3BBeovv35dzsb76RQ860qlUDWrSQw7xdXYHz54F162RvdqdOwBtvGD8vjCzL4MHyQu3rr+U+6kREZFmEkEPN85tSW7u2nPplqMuXZRLv5WVcTPb28rXXrhn3+iJg4q2mmzeBkyc5v5uKr+Bg4Lff5DoH3MeeDJWQALzwgvzc9OolP0dOTnL42alTchGXdeuAtDQ5pCwoCJg6Nec2JmT9qlQBXn5ZzqPv0cPsQwaJiKgA58/LqVv5XePVqQNs3CjPM+TG+JUrcpi5QxHSWC8v9ngXO9rl8xs3VjcOIrU0bCjn1/7+OxNvMszdu3L7rYQE2dtdvfqT52rWlItuUfExeDBw8CDQs6e84VK2rNoRGefRIyA6Wn6uK1QAnnuO28sRkfU7cEB+LSjx1p7btWvBZV65UvQpul5eT4asmxFbdTVFRMgFfjjskYorJyd5gbl2rdqRkDUQAhg2TC5+Nn16zqSbiicnJ7k1261bcipBUpJx5WgXely8WG73Fhkpb/KY2unTwP/9H+DtLber69tXLvhXtarsASIismb798tF1fJboNTPT+6tHRVlWJlxcU8WSDOWt7cqPd5MvNWSmQls2gQ0aaJ2JETqatMG+PtvVe48kpX58UdgzRq5OBqHjZOWnx/w5ZfyYqxpU9lzbKjERGDsWHkR16aNXAMgNFQm8V5eQJ8+wJ9/ykX59MnKkheLEybIKQ+lSsmeak9PoFEjWdaPP8rhlpmZ8ubRjRtAeLh8jzp1gPXrZY/9d9/Jf8+ZI+vUs6ccRk9EZK3++qvgEY0ajTzH0MT7yhWZOBeFlxdw/bpsl82IQ83VEhUF3LkjLxKIijPt/NxffwXee0/taMhS3bwJvPuuHEretq3a0ZClqV4d+PZbmag2aQK8/z7wwQd579F6+zbw1VfA7NkyUX7hBaBdO7k4n52dXHTn4EHZ892tm7zI69FDjtApXVp+Hg8fljfQExJkwt2wIfDSS4C7u1z87+pVOaXsu+/ke9rZyTmJ6eny+8BAuQ95u3Y59yIvVQqoWxf46Se5arurq7w5QERkTVJS5LorL7xQ8Lm1awOrVslEOL/tNx8/lglzUYeae3vLshIT5fQeM2HirZZffpF3Wwzds47IVpUoIW9A/fQTE2/K29ixsnfxrbfUjoQslZ+fnPf/88/AzJnA/PlyDnjPnk/mEJ46JRfeW75cXnT16QP8738yWc6ucmX5eOkl4Nw5YNs2mYQvWSI/h/b2cvhkixZAy5Yyic7rYjElRZaRkCB7zsuWlReZ+a3Iq9EAr78uFwgcN04m4tx2kYjMQQhldpo5eFCWpW1/81Onjtyh5PhxeRMzL//8I9vgovZ4+/rKrxcuMPG2eVlZcrhk69ZcPIUIkEMuP/oIOHFCXmASZXfwoEyURo+WvYFEeXFyAgYNkj0sa9cCK1fKXu3sypWTu4n07VvwGisajVyLpUYN+X16ukyGS5TIv1cmO09P2VNujMGD5ZoG/fvLXVCK2stDRJSXo0flOirnzgGdOwMrVuQ/N7sgf/0l27+KFQs+t3Zt2X7v2ZN/4n3unPzq52d8XICMycFB3oxt06ZoZRUCE2817NsnhzZwuCSR1KyZHL65bJnsqSLSEgIYOVIOJTZkuBoRIHuTQ0PlwmVxcXJoIiB7NipXNjxpfpqTk3yYi52dHDY/bJjcs/yPP5TpiSIiyu7SJeD55+V6F//7nxz23akTsHt3zqkwhbFzp+xMMaTNcnKSo4B375Z/8/Ny7Ji88antsTaWoyPg7y8TbzNid6sali2THxhun0QkOTjIubsrVgAPH6odDVmSVatkj/dbbxmfLFHxZWcn5223aiUfVata3+eodGkgLEzuhPLTT2pHQ0S2JjMT6NdP9m7PnCmnucyYIbdo/PJL48p88EBuD9aokeGvqVdPJt5ZWXmfc+yYbMeVGDFcqZIcSWRGTLzN7c4dYPVquU8dh5kTPdGrl1zw6Mcf1Y6ELMWDB3Jud6tWQIMGakdDpJ4WLWRv1LvvylXRiYiUsmKFXCxy3LgnQ8vr1AFeflkuWBkXV/gy9+2T62gUJvGuX19uDZlfMqxNvJUQEMAeb5u3YoX8IHKRFKKc/PzkxeXMmfnf7aTi44svgH//lVs8ERV377wj28b8hmESERXGgwfAxInyxl5gYM7n+veXC09Onlz4cnfskAtJVqpk+Gvq1pW7OPz5p/7n09KAs2flKCYlVKkCJCeb9WYmE29zSk+X25e0bSs/jESUU79+wJkzctV/Kt4uX5ZD3V56yawrjhJZrFKl5JSLVauAjRvVjoaIbMH8+UBSklxD4mmursBrrwE//FD4nuE//pC93YVZk8LJCQgKAn7/Xf/zp0/LnSGUSrwDAuTXEyeUKc8ATLzN6ccf5TL4r76qdiRElikwUG4t9tFHcmQIFU9CyIWxPD3lXDMikjp0AIKD5aJxyclqR0NE5nLtmhz1EhgoV+Fes0b+rSyKe/eA6dOBLl3yXiW8Wze5dVdher3PnpWJeuvWhY8pOFjODb95M/dzBw7INYGUGmpesaK8zti9W5nyDMDE21zu3QM+/FD+smjvsBBRbkOHyu1z5s5VOxJSy48/Alu2yPmsrq5qR0NkOTQaudDao0cy+S7qhTcRWb7du+U6Jz//LHOI+/flCMFBg+RoWmPNmgWkpuZ/g9vRUT7/669ATIxh5a5dK/92G7ONYrNmsp379dfcz23c+GQ4uhLs7OTWZZGRypRnyFua7Z2Ku08+kQsGhIaqHQmRZXvmGaBnT2DSJLm9BRUvly8Db78te/aaN1c7GiLLU66cTL7XrQPmzVM7GiIypb175bpQVaoAS5cC770np61++CEQHi5H0WZmFr7c5GRZTs+eskc7P507y7naY8cWXK4Q8gZBs2aAs3Ph4ypTRv7tnz8/543F+/fl9mTBwYUvMz8NGwJ//y1vQJgBE29z2LlTLsf/+uuAj4/a0RBZvqFD5XzGl16SPTtUPDx4APTuDbi5cQEpovy0bg307QuMHg3s2qV2NERkCidPAt27AzVrAp9/LodFa7VvD3z8MbBhg1z7obCjXyZOlAm7IdNfHRyA4cNlz/CmTfmfu327HGberVvh4smuRw9Z9337nhzbulUurqb0DfmgIPn/sHOnsuXmQfXEe/78+QgICICLiwuCgoKwd+/efM/fvXs3goKC4OLigqpVq2LhwoW5zlm7di1q164NZ2dn1K5dG+vXrzdV+AU7f14OB2nQAHjlFfXiILImbm7yD8rJk3Jhj4wMtSOyeKZoS80qPR343//k4npTpz7Z0oSI9AsNldcWPXrIrYDIIFbfVpJlunsXiIoC9uwBEhKKXt7Vq3LutZeXHDWrr/e4ZUs5+uW774DPPjO87AMHgEWLgCFDgNKlDXtNixYySX3jjfx7h7/8Uo5cbNjQ8HieFhQkF1AbOVKu95OZKbc1q1NH+cVW/fzke33/vbLl5kHVxHv16tUYNWoUJk6ciOjoaLRq1QohISG4evWq3vPj4uLQtWtXtGrVCtHR0ZgwYQLeffddrF27VndOVFQU+vXrh/79++PYsWPo378/Xn75ZRw8eNBc1XrixAm5PH+JEjKJsLc3fwxE1urZZ+Vw840bZS/o3btqR2SxTNGWmtXdu/JnvHmzXMClenV14iCyJg4O8iZVpUpAu3by94fyZfVtJVkWIWRPbNeuMoFt3lyu5eTnJ/ek/u4740bt/fOPnG6VlQVMmyY7I/LStatMoD/6SG7HWpCkJLk/d61acpi5oTQaYMwYOUR9+HD9276uWyf/P159tXCrmT/Nzg54/33g+HG5pdlbb8l/v/228WXmRaORo4f++AM4d0758p9+OyHUW5mjadOmaNSoERYsWKA7VqtWLfTq1QvTpk3Ldf4HH3yAjRs3IjY2VncsNDQUx44dQ1RUFACgX79+SE1NxaZsQyG6dOmC0qVLIzw83KC4UlNT4enpiZSUFHh4eBS+YunpwIIFchiHr68cHuLlVfhyiAg4eFDe7fXyAr79Vv6RMaJBL/LvtQUzRVtaEMX+P/fsAYYNA65flzcomzQxviyi4ujhQ5mAHzgAjBolb15lH5JaCLbcTgJW3laScRIS5IiQixflQsdubnKBssaN5arWxtAm3B9/DBw6JDsKQkLkiuOOjnJ9mh07gL/+knnAhx8CgwcDLi4Fl/333zIRfPxYzsE2pIdXCNlj+/PPcvrJtGn6e8iTkmQv+oULsse7fPnC1333btn7PGSIvCbT1ikmRt4sqF1bPl+UxFsrMlKuY5GRIRPwfv2KXqY+6enyZsFzz8kE3ICOUmN/r1Xr8U5PT8eRI0fQqVOnHMc7deqE/fv3631NVFRUrvM7d+6Mw4cP4/F/Ww/ldU5eZSrm8WP5yzJpkhyyMHq0/ADOncukm6gomjaVd41Ll5Zzhho0AL7+Wo4oMWZBERtjqrbUpG7elCuXt28vewecnORCKky6iQrP1VUOMw0NBRYuBCpXltcg+/YVbcVjG2OVbSUV3o0bwPr1cuutGjVk73OPHsD48cDs2cCECXKElb+/3JbqzTflCtqGDA+/fl12rDVqJBPYe/eAL76Qv3e9esnRWpUryxEon3wCLF8uE9G335aLo02cKBNUfb3FsbEy5ubN5c2BuXMNH1at0che6LffBr75Rva2L1sGJCbKpPzff2WiXbcuEBcnE3pjkm5A/s0eOxZYuVIO/X7/fXnzvEULufDje+8pk3QDQMeOwOrV8udjqqQbkNcgY8fKmylff2269wHgYNLS85GUlITMzEx4P7WSnre3NxITE/W+JjExUe/5GRkZSEpKgq+vb57n5FUmAKSlpSEtLU33fUpKCgB5N8MgU6bkHt7Rpo2847xqlWFlEFH+AgNlon38uBzupGVnJ+9mV6uW78u1v88qDvIxCVO1pU8rcju5e7e8+Hla1apyLtj27YaVQ0R569BB9tjMni0fWs7Ocou+AuZd2mo7CVhJW3nrlpzXumOH/P7pn4MQTx76ntfSaJ4kP9n/ra+czEzZo6jEz9zOTvYW2tk9KT8rS92b5FWrygS8XDn5/yAEcPu2XE/kwgWZNBszb79ePZngnjwpH3nx85PTTrdtkyNgP/88/3JdXWVi/8cfhY8JkKt+790re6T1CQmRzxewtoFB77Nnj0ziAfl/W7++HG5urby85MghA35XjW0rVUu8tTRPNQZCiFzHCjr/6eOFLXPatGmYMmVKruP+/v55B14QM27GTlSsZWXJP1IGunv3LjyNHIZpyUzRlmZnknYSkEPyuG0ckWmlpQFt2xp8uq22k4AVt5XWICtLf2+umkz1N+b4cflQ2sOHcsi4qRS0KrmxhADWrDFN2ea0fr18GKiwbaVqiXe5cuVgb2+f6y7jjRs3ct1d1PLx8dF7voODA8qWLZvvOXmVCQDjx49HWFiY7vusrCzcunULZcuWzbcxNpXU1FT4+/vj2rVrNjsfiHW0HdZSTyEE7t69Cz8/P7VDUZSp2tKnKd1OWsvnxhrw/1IZ/H+03XYSsN62siC28Lm1hToAtlEP1sEwxraVqiXeTk5OCAoKQmRkJHr37q07HhkZiZ55rLIXHByM33//PcexrVu3onHjxnB0dNSdExkZidGjR+c4p3k++745OzvD+alFCEqVKlXYKinOw8PDaj/0hmIdbYc11NMWe3BM1ZY+zVTtpDV8bqwF/y+VUdz/H22xnQSsv60siC18bm2hDoBt1IN1KJgxbaWq24mFhYXh+++/x9KlSxEbG4vRo0fj6tWrCA0NBSDvGg4YMEB3fmhoKK5cuYKwsDDExsZi6dKlWLJkCcZkm+85cuRIbN26FTNmzMCZM2cwY8YMbNu2DaNGjTJ39YiIzMIUbSkRka1hW0lEalJ1jne/fv2QnJyMqVOnIiEhAYGBgYiIiEDlypUBAAkJCTn2VgwICEBERARGjx6NefPmwc/PD3PnzkXfvn115zRv3hyrVq3Chx9+iI8++gjVqlXD6tWr0bRpU7PXj4jIHEzRlhIR2Rq2lUSkKkEW59GjR2LSpEni0aNHaodiMqyj7Sgu9SRl8XOjHP5fKoP/j2SNbOFzawt1EMI26sE6mJZGCBvcM4KIiIiIiIjIQqg6x5uIiIiIiIjI1jHxJiIiIiIiIjIhJt5EREREREREJsTEm4iIiIiIiMiEmHhbmPnz5yMgIAAuLi4ICgrC3r171Q6pSPbs2YPu3bvDz88PGo0GGzZsyPG8EAKTJ0+Gn58fXF1d0bZtW5w6dUqdYI0wbdo0PPfcc3B3d0f58uXRq1cvnD17Nsc51l5HAFiwYAHq1asHDw8PeHh4IDg4GJs2bdI9bwt1JPOytbbO3CZPngyNRpPj4ePjo3ZYVsHW/y6RdVHqOmLRokVo27YtPDw8oNFocOfOnVzvdfv2bfTv3x+enp7w9PRE//799Z5nyfW4fPkyhg4dioCAALi6uqJatWqYNGkS0tPTraYO2aWlpaFBgwbQaDSIiYmxujr8+eefaNq0KVxdXVGuXDn06dPHqupw7tw59OzZE+XKlYOHhwdatGiBnTt3FrkOeWHibUFWr16NUaNGYeLEiYiOjkarVq0QEhKSY09Ja3P//n3Ur18f3377rd7nv/jiC8ycORPffvst/v77b/j4+KBjx464e/eumSM1zu7du/HWW2/hwIEDiIyMREZGBjp16oT79+/rzrH2OgJAxYoVMX36dBw+fBiHDx/G888/j549e+oaOVuoI5mPLbZ1aqhTpw4SEhJ0jxMnTqgdklWw9b9LZF2Uuo548OABunTpggkTJuT5Xq+++ipiYmKwefNmbN68GTExMejfv79V1ePMmTPIysrCd999h1OnTmHWrFlYuHBhvvW2tDpkN3bsWPj5+RU5djXqsHbtWvTv3x+DBw/GsWPH8Ndff+HVV1+1qjq88MILyMjIwI4dO3DkyBE0aNAA3bp1Q2JiYpHroZdK25iRHk2aNBGhoaE5jtWsWVOMGzdOpYiUBUCsX79e931WVpbw8fER06dP1x179OiR8PT0FAsXLlQhwqK7ceOGACB2794thLDNOmqVLl1afP/99zZdRzINW2/rzGHSpEmifv36aodh9YrD3yWyLkW9jti5c6cAIG7fvp3j+OnTpwUAceDAAd2xqKgoAUCcOXPGauqhzxdffCECAgIUi13L1HWIiIgQNWvWFKdOnRIARHR0tNXU4fHjx6JChQri+++/Vzzmp5mqDjdv3hQAxJ49e3THUlNTBQCxbds2k9SFPd4WIj09HUeOHEGnTp1yHO/UqRP279+vUlSmFRcXh8TExBx1dnZ2Rps2bay2zikpKQCAMmXKALDNOmZmZmLVqlW4f/8+goODbbKOZDrFsa0zlfPnz8PPzw8BAQH43//+h0uXLqkdktVje0ZqM9V1RFRUFDw9PdG0aVPdsWbNmsHT09Mkn21zXg+lpKTo3kdJpqzDv//+i+HDh+OHH35AiRIllAv6Kaaqw9GjRxEfHw87Ozs0bNgQvr6+CAkJMcm0HFPVoWzZsqhVqxZWrlyJ+/fvIyMjA9999x28vb0RFBSkbCX+w8TbQiQlJSEzMxPe3t45jnt7e5tuuIPKtPWylToLIRAWFoaWLVsiMDAQgG3V8cSJEyhZsiScnZ0RGhqK9evXo3bt2jZVRzK94tjWmULTpk2xcuVKbNmyBYsXL0ZiYiKaN2+O5ORktUOzamzPSE2mvI5ITExE+fLlcx0vX7684p9tc14PXbx4Ed988w1CQ0OND1gPU9ZBCIFBgwYhNDQUjRs3Vi5oPe9jqjpob/ROnjwZH374If744w+ULl0abdq0wa1btxSqgWnroNFoEBkZiejoaLi7u8PFxQWzZs3C5s2bUapUKcXqkJ2DSUolo2k0mhzfCyFyHbM1tlLnt99+G8ePH8e+fftyPWcLdaxRowZiYmJw584drF27FgMHDsTu3bt1z9tCHcl8+HkpmpCQEN2/69ati+DgYFSrVg0rVqxAWFiYipHZBn4+SQ2mvo7Qd74pPtvmuh66fv06unTpgpdeegnDhg0zqoy8mLIO33zzDVJTUzF+/Pgix5kfU9YhKysLADBx4kT07dsXALBs2TJUrFgRv/zyC954440iRP6EKesghMCIESNQvnx57N27F66urvj+++/RrVs3/P333/D19S1y/E9jj7eFKFeuHOzt7XPdqblx40auOzq2QrsCry3U+Z133sHGjRuxc+dOVKxYUXfcluro5OSE6tWro3Hjxpg2bRrq16+POXPm2FQdyfSKY1tnDm5ubqhbty7Onz+vdihWje0ZqcXU1xE+Pj74999/cx2/efOmop9tc10PXb9+He3atUNwcDAWLVpUtKCfYuo67NixAwcOHICzszMcHBxQvXp1AEDjxo0xcOBABWpg+jpok9LatWvrjjk7O6Nq1aqKLZRqjp/DH3/8gVWrVqFFixZo1KgR5s+fD1dXV6xYsUKROjyNibeFcHJyQlBQECIjI3Mcj4yMRPPmzVWKyrQCAgLg4+OTo87p6enYvXu31dRZCIG3334b69atw44dOxAQEJDjeVuoY16EEEhLS7PpOpLyimNbZw5paWmIjY01yR364oTtGZmbua4jgoODkZKSgkOHDumOHTx4ECkpKYp8ts15PRQfH4+2bduiUaNGWLZsGezslElnzFWHuXPn4tixY4iJiUFMTAwiIiIAyB0/PvvsM6uoQ1BQEJydnXNs8/X48WNcvnwZlStXtoo6PHjwAAByfX7s7Ox0PfqKM8mSbWSUVatWCUdHR7FkyRJx+vRpMWrUKOHm5iYuX76sdmhGu3v3roiOjhbR0dECgJg5c6aIjo4WV65cEUIIMX36dOHp6SnWrVsnTpw4IV555RXh6+srUlNTVY7cMG+++abw9PQUu3btEgkJCbrHgwcPdOdYex2FEGL8+PFiz549Ii4uThw/flxMmDBB2NnZia1btwohbKOOZD622NaZ23vvvSd27dolLl26JA4cOCC6desm3N3d+X9oAFv/u0TWRanriISEBBEdHS0WL16sW6k5OjpaJCcn687p0qWLqFevnoiKihJRUVGibt26olu3blZVj/j4eFG9enXx/PPPi3/++SfHe1lLHZ4WFxen2Krm5qzDyJEjRYUKFcSWLVvEmTNnxNChQ0X58uXFrVu3rKION2/eFGXLlhV9+vQRMTEx4uzZs2LMmDHC0dFRxMTEFKkOeWHibWHmzZsnKleuLJycnESjRo10S+dbK+0S/k8/Bg4cKISQWwJMmjRJ+Pj4CGdnZ9G6dWtx4sQJdYMuBH11AyCWLVumO8fa6yiEEEOGDNF9Lr28vET79u11SbcQtlFHMi9ba+vMrV+/fsLX11c4OjoKPz8/0adPH3Hq1Cm1w7IKtv53iayLUtcRkyZNKrCc5ORk8dprrwl3d3fh7u4uXnvtNYO267KkeixbtizP97KWOjxNycTbnHVIT08X7733nihfvrxwd3cXHTp0ECdPnrSqOvz999+iU6dOokyZMsLd3V00a9ZMREREFLkOedH8V0EiIiIiIiIiMgHO8SYiIiIiIiIyISbeRERERERERCbExJuIiIiIiIjIhJh4ExEREREREZkQE28iIiIiIiIiE2LiTURERERERGRCTLyJiIiIiIiITIiJNxEREZmERqPBhg0b1A6DiIhIdUy8yeYMGjQIGo0GGo0Gjo6O8Pb2RseOHbF06VJkZWWpHR4Rkclp28HQ0NBcz40YMQIajQaDBg1S7P0mT56MBg0aKFYeEZFahBDo0KEDOnfunOu5+fPnw9PTE1evXlUhMrJ2TLzJJnXp0gUJCQm4fPkyNm3ahHbt2mHkyJHo1q0bMjIy1A6PiMjk/P39sWrVKjx8+FB37NGjRwgPD0elSpVUjIyIyHJpNBosW7YMBw8exHfffac7HhcXhw8++ABz5sxRvA19/PixouWRZWLiTTbJ2dkZPj4+qFChAho1aoQJEybgt99+w6ZNm7B8+XIAwMyZM1G3bl24ubnB398fI0aMwL179wAA9+/fh4eHB3799dcc5f7+++9wc3PD3bt3zV0lIqJCadSoESpVqoR169bpjq1btw7+/v5o2LCh7lhaWhreffddlC9fHi4uLmjZsiX+/vtv3fO7du2CRqPB9u3b0bhxY5QoUQLNmzfH2bNnAQDLly/HlClTcOzYMd1oI207CwBJSUno3bs3SpQogWeeeQYbN240feWJiIrA398fc+bMwZgxYxAXFwchBIYOHYr27dujSZMm6Nq1K0qWLAlvb2/0798fSUlJutdu3rwZLVu2RKlSpVC2bFl069YNFy9e1D1/+fJlaDQarFmzBm3btoWLiwt+/PFHNapJZsbEm4qN559/HvXr19ddhNrZ2WHu3Lk4efIkVqxYgR07dmDs2LEAADc3N/zvf//DsmXLcpSxbNkyvPjii3B3dzd7/EREhTV48OAc7djSpUsxZMiQHOeMHTsWa9euxYoVK3D06FFUr14dnTt3xq1bt3KcN3HiRHz99dc4fPgwHBwcdOX069cP7733HurUqYOEhAQkJCSgX79+utdNmTIFL7/8Mo4fP46uXbvitddey1U2EZGlGThwINq3b4/Bgwfj22+/xcmTJzFnzhy0adMGDRo0wOHDh7F582b8+++/ePnll3Wvu3//PsLCwvD3339j+/btsLOzQ+/evXNNd/zggw/w7rvvIjY2Vu+wdrJBgsjGDBw4UPTs2VPvc/369RO1atXS+9yaNWtE2bJldd8fPHhQ2Nvbi/j4eCGEEDdv3hSOjo5i165disdMRKQkbTt48+ZN4ezsLOLi4sTly5eFi4uLuHnzpujZs6cYOHCguHfvnnB0dBQ//fST7rXp6enCz89PfPHFF0IIIXbu3CkAiG3btunO+fPPPwUA8fDhQyGEEJMmTRL169fPFQcA8eGHH+q+v3fvntBoNGLTpk0mqjkRkXL+/fdf4eXlJezs7MS6devERx99JDp16pTjnGvXrgkA4uzZs3rLuHHjhgAgTpw4IYQQIi4uTgAQs2fPNnn8ZFnY403FihACGo0GALBz50507NgRFSpUgLu7OwYMGIDk5GTcv38fANCkSRPUqVMHK1euBAD88MMPqFSpElq3bq1a/EREhVGuXDm88MILWLFiBZYtW4YXXngB5cqV0z1/8eJFPH78GC1atNAdc3R0RJMmTRAbG5ujrHr16un+7evrCwC4ceNGgTFkf52bmxvc3d0Neh0RkdrKly+P//u//0OtWrXQu3dvHDlyBDt37kTJkiV1j5o1awKAbjj5xYsX8eqrr6Jq1arw8PBAQEAAAORakK1x48bmrQypjok3FSuxsbEICAjAlStX0LVrVwQGBmLt2rU4cuQI5s2bByDnAhfDhg3TDdNctmwZBg8erEvciYiswZAhQ7B8+XKsWLEi1zBzIQQA5GrXst+k1HJ0dNT9W/ucITtFZH+d9rXcYYKIrIWDgwMcHBwAyDave/fuiImJyfE4f/68rmOme/fuSE5OxuLFi3Hw4EEcPHgQAJCenp6jXDc3N/NWhFTHxJuKjR07duDEiRPo27cvDh8+jIyMDHz99ddo1qwZnn32WVy/fj3Xa15//XVcvXoVc+fOxalTpzBw4EAVIiciMl6XLl2Qnp6O9PT0XPMIq1evDicnJ+zbt0937PHjxzh8+DBq1apl8Hs4OTkhMzNTsZiJiCxRo0aNcOrUKVSpUgXVq1fP8XBzc0NycjJiY2Px4Ycfon379qhVqxZu376tdthkIZh4k01KS0tDYmIi4uPjcfToUXz++efo2bMnunXrhgEDBqBatWrIyMjAN998g0uXLuGHH37AwoULc5VTunRp9OnTB++//z46deqEihUrqlAbIiLj2dvbIzY2FrGxsbC3t8/xnJubG9588028//772Lx5M06fPo3hw4fjwYMHGDp0qMHvUaVKFcTFxSEmJgZJSUlIS0tTuhpERKp76623cOvWLbzyyis4dOgQLl26hK1bt2LIkCHIzMxE6dKlUbZsWSxatAgXLlzAjh07EBYWpnbYZCGYeJNN2rx5M3x9fVGlShV06dIFO3fuxNy5c/Hbb7/B3t4eDRo0wMyZMzFjxgwEBgbip59+wrRp0/SWNXToUKSnp+caoklEZC08PDzg4eGh97np06ejb9++6N+/Pxo1aoQLFy5gy5YtKF26tMHl9+3bF126dEG7du3g5eWF8PBwpUInIrIYfn5++Ouvv5CZmYnOnTsjMDAQI0eOhKenJ+zs7GBnZ4dVq1bhyJEjCAwMxOjRo/Hll1+qHTZZCI3QTvAiIr1++uknjBw5EtevX4eTk5Pa4RARERERkZVxUDsAIkv14MEDxMXFYdq0aXjjjTeYdBMRERERkVE41JwoD1988QUaNGgAb29vjB8/Xu1wiIiIiIjISnGoOREREREREZEJscebiIiIiIiIyISYeBMRERERERGZEBNvIiIiIiIiIhNi4k1ERERERERkQky8iYiIiIiIiEyIiTcRERERERGRCTHxJiIiIiIiIjIhJt5EREREREREJsTEm4iIiIiIiMiE/h843OG3aeJsfgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1000x1000 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##Visulaization diagram for Numerical features\n",
    "\n",
    "plt .figure(figsize=(10,10))\n",
    "plt.suptitle('Univariate Analysis of Numerical Features', fontsize=20, fontweight='bold',alpha=1,y=1.)\n",
    "\n",
    "for i in range(0,len(numeric_features)):\n",
    "    plt.subplot(5,3,i+1)\n",
    "    sns.kdeplot(x=df_copy[numeric_features[i]],shade=True,color='r')\n",
    "    plt.xlabel(numeric_features[i])\n",
    "    plt.tight_layout()\n",
    "                          \n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "694a6c2a-19d4-4ab0-bebd-931fce2de5f1",
   "metadata": {},
   "source": [
    "## Observations\n",
    "\n",
    "Ratings and Year are Left Skewed \n",
    "\n",
    "\n",
    "Reviews,Size,Installs and Price are right skewed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "0184199a-762c-4a6a-acfa-1aa389571bd9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##Categorical features\n",
    "\n",
    "plt.figure(figsize=(20,15))\n",
    "plt.suptitle('Univariate Analysis of Categorical Features', fontsize=20, fontweight='bold', alpha=0.8,y=1.)\n",
    "category=['Type','Content Rating']\n",
    "\n",
    "for i in range(0,len(category)):\n",
    "    plt.subplot(2,2,i+1)\n",
    "    sns.countplot(x=df[category[i]], palette='Set2')\n",
    "    plt.xlabel(category[i])\n",
    "    plt.xticks(rotation=45)\n",
    "    plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7b2f332-34e5-4a2f-91bf-2f94bd999ba2",
   "metadata": {},
   "source": [
    "## which is the most popular app category?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "ef9d9d3c-fb77-4e6f-8694-2cbd401ac842",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "FAMILY                 1832\n",
       "GAME                    959\n",
       "TOOLS                   827\n",
       "BUSINESS                420\n",
       "MEDICAL                 395\n",
       "PERSONALIZATION         376\n",
       "PRODUCTIVITY            374\n",
       "LIFESTYLE               369\n",
       "FINANCE                 345\n",
       "SPORTS                  325\n",
       "COMMUNICATION           315\n",
       "HEALTH_AND_FITNESS      288\n",
       "PHOTOGRAPHY             281\n",
       "NEWS_AND_MAGAZINES      254\n",
       "SOCIAL                  239\n",
       "BOOKS_AND_REFERENCE     222\n",
       "TRAVEL_AND_LOCAL        219\n",
       "SHOPPING                202\n",
       "DATING                  171\n",
       "VIDEO_PLAYERS           163\n",
       "MAPS_AND_NAVIGATION     131\n",
       "EDUCATION               119\n",
       "FOOD_AND_DRINK          112\n",
       "ENTERTAINMENT           102\n",
       "AUTO_AND_VEHICLES        85\n",
       "LIBRARIES_AND_DEMO       84\n",
       "WEATHER                  79\n",
       "HOUSE_AND_HOME           74\n",
       "EVENTS                   64\n",
       "ART_AND_DESIGN           64\n",
       "PARENTING                60\n",
       "COMICS                   56\n",
       "BEAUTY                   53\n",
       "Name: Category, dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Category'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "19dc776e-6f70-413f-bb71-d318cf52d6a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "33"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_copy['Category'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "14c0264a-1992-4c06-aa12-d636b957a253",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: ylabel='Category'>"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_copy['Category'].value_counts().plot.pie(y=df_copy['Category'],figsize=(20,16), autopct= '%1.1f')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bbe0643-6851-495b-95fa-a411537320d5",
   "metadata": {},
   "source": [
    "## Observations\n",
    "1. There are more kind of apps in playstore which are under catgory of family,games and tools\n",
    "2. Beauty,comics , arts and Weather related apps are very less in Playstore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a9e27c32-711c-4dae-bfd5-162de9dc1232",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "b6f42931-9e03-4d85-9677-b72d00b0a4b9",
   "metadata": {},
   "source": [
    "## What are Top 10 App Categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "f7aed330-a694-46a1-8886-881e72c4489e",
   "metadata": {},
   "outputs": [],
   "source": [
    "Category=pd.DataFrame(df_copy['Category'].value_counts())\n",
    "Category.rename(columns={'Category':'Count'},inplace='True')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "e8ecffee-7553-4824-a31b-9590701c6492",
   "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>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>FAMILY</th>\n",
       "      <td>1832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GAME</th>\n",
       "      <td>959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TOOLS</th>\n",
       "      <td>827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BUSINESS</th>\n",
       "      <td>420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MEDICAL</th>\n",
       "      <td>395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PERSONALIZATION</th>\n",
       "      <td>376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRODUCTIVITY</th>\n",
       "      <td>374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LIFESTYLE</th>\n",
       "      <td>369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FINANCE</th>\n",
       "      <td>345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SPORTS</th>\n",
       "      <td>325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMMUNICATION</th>\n",
       "      <td>315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HEALTH_AND_FITNESS</th>\n",
       "      <td>288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PHOTOGRAPHY</th>\n",
       "      <td>281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NEWS_AND_MAGAZINES</th>\n",
       "      <td>254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SOCIAL</th>\n",
       "      <td>239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BOOKS_AND_REFERENCE</th>\n",
       "      <td>222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TRAVEL_AND_LOCAL</th>\n",
       "      <td>219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SHOPPING</th>\n",
       "      <td>202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DATING</th>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VIDEO_PLAYERS</th>\n",
       "      <td>163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MAPS_AND_NAVIGATION</th>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EDUCATION</th>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FOOD_AND_DRINK</th>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ENTERTAINMENT</th>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AUTO_AND_VEHICLES</th>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LIBRARIES_AND_DEMO</th>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WEATHER</th>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HOUSE_AND_HOME</th>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EVENTS</th>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ART_AND_DESIGN</th>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PARENTING</th>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COMICS</th>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BEAUTY</th>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Count\n",
       "FAMILY                1832\n",
       "GAME                   959\n",
       "TOOLS                  827\n",
       "BUSINESS               420\n",
       "MEDICAL                395\n",
       "PERSONALIZATION        376\n",
       "PRODUCTIVITY           374\n",
       "LIFESTYLE              369\n",
       "FINANCE                345\n",
       "SPORTS                 325\n",
       "COMMUNICATION          315\n",
       "HEALTH_AND_FITNESS     288\n",
       "PHOTOGRAPHY            281\n",
       "NEWS_AND_MAGAZINES     254\n",
       "SOCIAL                 239\n",
       "BOOKS_AND_REFERENCE    222\n",
       "TRAVEL_AND_LOCAL       219\n",
       "SHOPPING               202\n",
       "DATING                 171\n",
       "VIDEO_PLAYERS          163\n",
       "MAPS_AND_NAVIGATION    131\n",
       "EDUCATION              119\n",
       "FOOD_AND_DRINK         112\n",
       "ENTERTAINMENT          102\n",
       "AUTO_AND_VEHICLES       85\n",
       "LIBRARIES_AND_DEMO      84\n",
       "WEATHER                 79\n",
       "HOUSE_AND_HOME          74\n",
       "EVENTS                  64\n",
       "ART_AND_DESIGN          64\n",
       "PARENTING               60\n",
       "COMICS                  56\n",
       "BEAUTY                  53"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "fddf33e9-33e8-4e36-b751-96d9e1fc58d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##top 10 apps\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "sns.barplot(x=Category.index[:10],y='Count',data=Category[:10],palette='hls')\n",
    "plt.title('Top 10 App Categories')\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51f20798-30f3-420e-9f93-51cbbf1a22d6",
   "metadata": {},
   "source": [
    "## Insights\n",
    "\n",
    "1. Family category has the most number of apps with 18% of apps belonging to it, followed by Games category which has 11% of the apps.\n",
    "2. Least number of apps belong to the beauty category with less than 1% of the total appd belonging to it."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c161d746-f991-410a-bad7-54acd42e1e80",
   "metadata": {},
   "source": [
    "## which category has largest number of installations?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "3b0f0962-d2e7-421e-8377-4661a0e5c1b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['App', 'Category', 'Rating', 'Reviews', 'Size', 'Installs', 'Type',\n",
       "       'Price', 'Content Rating', 'Genres', 'Last Updated', 'Current Ver',\n",
       "       'Android Ver', 'Day', 'Month', 'Year'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "13f25fca-36b5-4559-af4e-a956a47f66ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "maxi= np.max(df_copy['Installs'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "8e25278d-71aa-440a-8f4e-2f9c32a3bf3f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1000000000"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "maxi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "b0555c9e-9319-4892-b714-1a69e2116d27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "152     BOOKS_AND_REFERENCE\n",
       "335           COMMUNICATION\n",
       "336           COMMUNICATION\n",
       "338           COMMUNICATION\n",
       "340           COMMUNICATION\n",
       "341           COMMUNICATION\n",
       "391           COMMUNICATION\n",
       "865           ENTERTAINMENT\n",
       "1654                   GAME\n",
       "2544                 SOCIAL\n",
       "2545                 SOCIAL\n",
       "2554                 SOCIAL\n",
       "2808            PHOTOGRAPHY\n",
       "3117       TRAVEL_AND_LOCAL\n",
       "3127       TRAVEL_AND_LOCAL\n",
       "3234                  TOOLS\n",
       "3454           PRODUCTIVITY\n",
       "3665          VIDEO_PLAYERS\n",
       "3687          VIDEO_PLAYERS\n",
       "3736     NEWS_AND_MAGAZINES\n",
       "Name: Category, dtype: object"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Category'][df_copy['Installs']==maxi]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "1824058e-aee2-4f8b-83cf-37ae1b554d36",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['BOOKS_AND_REFERENCE', 'COMMUNICATION', 'ENTERTAINMENT', 'GAME',\n",
       "       'SOCIAL', 'PHOTOGRAPHY', 'TRAVEL_AND_LOCAL', 'TOOLS',\n",
       "       'PRODUCTIVITY', 'VIDEO_PLAYERS', 'NEWS_AND_MAGAZINES'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Category'][df_copy['Installs']==maxi].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5815f66-e0db-4e77-8b26-87c21ffed857",
   "metadata": {},
   "source": [
    "## Observations\n",
    "BOOKS_AND_REFERENCE, COMMUNICATION, ENTERTAINMENT, GAME,\n",
    "       SOCIAL, PHOTOGRAPHY, TRAVEL_AND_LOCAL, TOOLS,\n",
    "       PRODUCTIVITY, VIDEO_PLAYERS, NEWS_AND_MAGAZINES are the categories which has largest number of installations \n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "12a60eae-2194-4638-b746-4cde1fe65025",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1000000       1417\n",
       "100000        1112\n",
       "10000         1031\n",
       "10000000       937\n",
       "1000           888\n",
       "100            710\n",
       "5000000        607\n",
       "500000         505\n",
       "50000          469\n",
       "5000           468\n",
       "10             385\n",
       "500            328\n",
       "50             204\n",
       "50000000       202\n",
       "100000000      188\n",
       "5               82\n",
       "1               67\n",
       "500000000       24\n",
       "1000000000      20\n",
       "0               15\n",
       "Name: Installs, dtype: int64"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Installs'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "aee032a4-0f67-4e0a-aee1-70983797e4d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "cat_install=pd.DataFrame(df_copy.groupby(['Category'])['Installs'].sum().sort_values(ascending=False))\n",
    "cat_install.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "2a46bd47-3e78-4548-94e1-3e4ce4847dd9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Category</th>\n",
       "      <th>Installs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GAME</td>\n",
       "      <td>13878924415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>COMMUNICATION</td>\n",
       "      <td>11038276251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>TOOLS</td>\n",
       "      <td>8001771915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PRODUCTIVITY</td>\n",
       "      <td>5793091369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SOCIAL</td>\n",
       "      <td>5487867902</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Category     Installs\n",
       "0           GAME  13878924415\n",
       "1  COMMUNICATION  11038276251\n",
       "2          TOOLS   8001771915\n",
       "3   PRODUCTIVITY   5793091369\n",
       "4         SOCIAL   5487867902"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_install.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "95733129-e9b2-4713-ba2c-94495fe1b503",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Category', 'Installs'], dtype='object')"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_install.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "e70d98e9-8d2f-4f15-86a2-b0018690ad45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                  GAME\n",
       "1         COMMUNICATION\n",
       "2                 TOOLS\n",
       "3          PRODUCTIVITY\n",
       "4                SOCIAL\n",
       "5           PHOTOGRAPHY\n",
       "6                FAMILY\n",
       "7         VIDEO_PLAYERS\n",
       "8      TRAVEL_AND_LOCAL\n",
       "9    NEWS_AND_MAGAZINES\n",
       "Name: Category, dtype: object"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_install['Category'][0:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "e4a6ec35-bf88-4059-b279-61f9f93361a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    13878924415\n",
       "1    11038276251\n",
       "2     8001771915\n",
       "3     5793091369\n",
       "4     5487867902\n",
       "5     4649147655\n",
       "6     4427941505\n",
       "7     3926902720\n",
       "8     2894887146\n",
       "9     2369217760\n",
       "Name: Installs, dtype: int64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_install['Installs'][0:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "38243fa0-f72b-432f-ac0b-80bb199f2d36",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,5))\n",
    "sns.barplot(x=cat_install['Category'][:10],y=cat_install['Installs'][:10],data=cat_install,palette='hls')\n",
    "plt.title('Largest Number of Installments')\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "edd3a2e3-a8d1-4630-8a6e-7a66a0dd2b21",
   "metadata": {},
   "source": [
    "## Observations\n",
    "1. Game apps are installed the most"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0d35bff-5614-42cc-a62f-ae2c128d908e",
   "metadata": {},
   "source": [
    "## which category has least number of installations?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "9de12d74-7e8c-4a59-9cdc-44ae290d4a5e",
   "metadata": {},
   "outputs": [],
   "source": [
    "least_install=pd.DataFrame(df_copy.groupby(['Category'])['Installs'].sum().sort_values(ascending=True))\n",
    "least_install.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "5578875a-297c-42e0-810b-69cef5eeab7c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Category</th>\n",
       "      <th>Installs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>EVENTS</td>\n",
       "      <td>15973161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BEAUTY</td>\n",
       "      <td>27197050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PARENTING</td>\n",
       "      <td>31521110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>38193177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>COMICS</td>\n",
       "      <td>44981150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>LIBRARIES_AND_DEMO</td>\n",
       "      <td>52995910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>AUTO_AND_VEHICLES</td>\n",
       "      <td>53130211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>HOUSE_AND_HOME</td>\n",
       "      <td>97212461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ART_AND_DESIGN</td>\n",
       "      <td>114338100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>DATING</td>\n",
       "      <td>140926107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>FOOD_AND_DRINK</td>\n",
       "      <td>211798751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>EDUCATION</td>\n",
       "      <td>352952000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>WEATHER</td>\n",
       "      <td>361100520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>FINANCE</td>\n",
       "      <td>455348734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>MAPS_AND_NAVIGATION</td>\n",
       "      <td>503281890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>LIFESTYLE</td>\n",
       "      <td>503823539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>BUSINESS</td>\n",
       "      <td>697164865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>SPORTS</td>\n",
       "      <td>1096474498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>HEALTH_AND_FITNESS</td>\n",
       "      <td>1144022512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>SHOPPING</td>\n",
       "      <td>1400348785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>PERSONALIZATION</td>\n",
       "      <td>1532494782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>BOOKS_AND_REFERENCE</td>\n",
       "      <td>1665969576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ENTERTAINMENT</td>\n",
       "      <td>2113660000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>NEWS_AND_MAGAZINES</td>\n",
       "      <td>2369217760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>TRAVEL_AND_LOCAL</td>\n",
       "      <td>2894887146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>VIDEO_PLAYERS</td>\n",
       "      <td>3926902720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4427941505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>PHOTOGRAPHY</td>\n",
       "      <td>4649147655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SOCIAL</td>\n",
       "      <td>5487867902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>PRODUCTIVITY</td>\n",
       "      <td>5793091369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>TOOLS</td>\n",
       "      <td>8001771915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>COMMUNICATION</td>\n",
       "      <td>11038276251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>GAME</td>\n",
       "      <td>13878924415</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Category     Installs\n",
       "0                EVENTS     15973161\n",
       "1                BEAUTY     27197050\n",
       "2             PARENTING     31521110\n",
       "3               MEDICAL     38193177\n",
       "4                COMICS     44981150\n",
       "5    LIBRARIES_AND_DEMO     52995910\n",
       "6     AUTO_AND_VEHICLES     53130211\n",
       "7        HOUSE_AND_HOME     97212461\n",
       "8        ART_AND_DESIGN    114338100\n",
       "9                DATING    140926107\n",
       "10       FOOD_AND_DRINK    211798751\n",
       "11            EDUCATION    352952000\n",
       "12              WEATHER    361100520\n",
       "13              FINANCE    455348734\n",
       "14  MAPS_AND_NAVIGATION    503281890\n",
       "15            LIFESTYLE    503823539\n",
       "16             BUSINESS    697164865\n",
       "17               SPORTS   1096474498\n",
       "18   HEALTH_AND_FITNESS   1144022512\n",
       "19             SHOPPING   1400348785\n",
       "20      PERSONALIZATION   1532494782\n",
       "21  BOOKS_AND_REFERENCE   1665969576\n",
       "22        ENTERTAINMENT   2113660000\n",
       "23   NEWS_AND_MAGAZINES   2369217760\n",
       "24     TRAVEL_AND_LOCAL   2894887146\n",
       "25        VIDEO_PLAYERS   3926902720\n",
       "26               FAMILY   4427941505\n",
       "27          PHOTOGRAPHY   4649147655\n",
       "28               SOCIAL   5487867902\n",
       "29         PRODUCTIVITY   5793091369\n",
       "30                TOOLS   8001771915\n",
       "31        COMMUNICATION  11038276251\n",
       "32                 GAME  13878924415"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "least_install"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "2ba20a33-3f4c-48b9-a34e-727cb9ccdf0c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "sns.barplot(x=least_install['Category'][0:10],y=least_install['Installs'][0:10],data=least_install,palette='hls')\n",
    "plt.title(\"Least Installed apps\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3bfc5ceb-374d-49eb-a1bb-2d1bddda73d7",
   "metadata": {},
   "source": [
    "## Observations\n",
    "1. Apps related to events are less in number"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22e93cf2-b2c9-484b-8bd0-cd7bca5bd0e3",
   "metadata": {},
   "source": [
    "## How many Apps are there on Google Play store which get 5 ratings?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "531e85ab-7b1a-4a67-aa31-8834826d4a60",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['App', 'Category', 'Rating', 'Reviews', 'Size', 'Installs', 'Type',\n",
       "       'Price', 'Content Rating', 'Genres', 'Last Updated', 'Current Ver',\n",
       "       'Android Ver', 'Day', 'Month', 'Year'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "6766e938-2bf6-4bae-abbc-34b72833578c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.173243045387994"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Rating'].mean()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "43fd3b71-0cc3-4279-9244-7dd4095c6e35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        4.100000\n",
       "1        3.900000\n",
       "2        4.700000\n",
       "3        4.500000\n",
       "4        4.300000\n",
       "           ...   \n",
       "10836    4.500000\n",
       "10837    5.000000\n",
       "10838    4.173243\n",
       "10839    4.500000\n",
       "10840    4.500000\n",
       "Name: Rating, Length: 9659, dtype: float64"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Rating'].fillna(df_copy['Rating'].mean(),inplace=True)\n",
    "df_copy['Rating'].astype('float')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "5500dfb1-6a60-42fe-989a-68867939b0ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "      <th>Day</th>\n",
       "      <th>Month</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>Hojiboy Tojiboyev Life Hacks</td>\n",
       "      <td>COMICS</td>\n",
       "      <td>5.0</td>\n",
       "      <td>15</td>\n",
       "      <td>37000.0</td>\n",
       "      <td>1000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Comics</td>\n",
       "      <td>2018-06-26</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>612</th>\n",
       "      <td>American Girls Mobile Numbers</td>\n",
       "      <td>DATING</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Mature 17+</td>\n",
       "      <td>Dating</td>\n",
       "      <td>2018-07-17</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>615</th>\n",
       "      <td>Awake Dating</td>\n",
       "      <td>DATING</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2</td>\n",
       "      <td>70000.0</td>\n",
       "      <td>100</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Mature 17+</td>\n",
       "      <td>Dating</td>\n",
       "      <td>2018-07-24</td>\n",
       "      <td>2.2.9</td>\n",
       "      <td>4.4 and up</td>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>633</th>\n",
       "      <td>Spine- The dating app</td>\n",
       "      <td>DATING</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5</td>\n",
       "      <td>9.3</td>\n",
       "      <td>500</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Dating</td>\n",
       "      <td>2018-07-14</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>636</th>\n",
       "      <td>Girls Live Talk - Free Text and Video Chat</td>\n",
       "      <td>DATING</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6</td>\n",
       "      <td>5.0</td>\n",
       "      <td>100</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Mature 17+</td>\n",
       "      <td>Dating</td>\n",
       "      <td>2018-08-01</td>\n",
       "      <td>8.2</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>2018</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10721</th>\n",
       "      <td>Mad Dash Fo' Cash</td>\n",
       "      <td>GAME</td>\n",
       "      <td>5.0</td>\n",
       "      <td>14</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>100</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Arcade</td>\n",
       "      <td>2017-06-19</td>\n",
       "      <td>2.5a</td>\n",
       "      <td>4.1 and up</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10742</th>\n",
       "      <td>GKPB FP Online Church</td>\n",
       "      <td>LIFESTYLE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>32</td>\n",
       "      <td>7.9</td>\n",
       "      <td>1000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Lifestyle</td>\n",
       "      <td>2017-12-31</td>\n",
       "      <td>0.7.1</td>\n",
       "      <td>4.4 and up</td>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10776</th>\n",
       "      <td>Monster Ride Pro</td>\n",
       "      <td>GAME</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>10</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Racing</td>\n",
       "      <td>2018-03-05</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.3 and up</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2018</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>8.6</td>\n",
       "      <td>1000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Education</td>\n",
       "      <td>2018-06-27</td>\n",
       "      <td>3.8.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10837</th>\n",
       "      <td>Fr. Mike Schmitz Audio Teachings</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3.6</td>\n",
       "      <td>100</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Education</td>\n",
       "      <td>2018-07-06</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>271 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              App   Category  Rating  Reviews  \\\n",
       "329                  Hojiboy Tojiboyev Life Hacks     COMICS     5.0       15   \n",
       "612                 American Girls Mobile Numbers     DATING     5.0        5   \n",
       "615                                  Awake Dating     DATING     5.0        2   \n",
       "633                         Spine- The dating app     DATING     5.0        5   \n",
       "636    Girls Live Talk - Free Text and Video Chat     DATING     5.0        6   \n",
       "...                                           ...        ...     ...      ...   \n",
       "10721                           Mad Dash Fo' Cash       GAME     5.0       14   \n",
       "10742                       GKPB FP Online Church  LIFESTYLE     5.0       32   \n",
       "10776                            Monster Ride Pro       GAME     5.0        1   \n",
       "10820                             Fr. Daoud Lamei     FAMILY     5.0       22   \n",
       "10837            Fr. Mike Schmitz Audio Teachings     FAMILY     5.0        4   \n",
       "\n",
       "          Size  Installs  Type  Price Content Rating     Genres Last Updated  \\\n",
       "329    37000.0      1000  Free    0.0       Everyone     Comics   2018-06-26   \n",
       "612        4.4      1000  Free    0.0     Mature 17+     Dating   2018-07-17   \n",
       "615    70000.0       100  Free    0.0     Mature 17+     Dating   2018-07-24   \n",
       "633        9.3       500  Free    0.0           Teen     Dating   2018-07-14   \n",
       "636        5.0       100  Free    0.0     Mature 17+     Dating   2018-08-01   \n",
       "...        ...       ...   ...    ...            ...        ...          ...   \n",
       "10721  16000.0       100  Free    0.0       Everyone     Arcade   2017-06-19   \n",
       "10742      7.9      1000  Free    0.0       Everyone  Lifestyle   2017-12-31   \n",
       "10776  24000.0        10  Free    0.0       Everyone     Racing   2018-03-05   \n",
       "10820      8.6      1000  Free    0.0           Teen  Education   2018-06-27   \n",
       "10837      3.6       100  Free    0.0       Everyone  Education   2018-07-06   \n",
       "\n",
       "      Current Ver   Android Ver  Day  Month  Year  \n",
       "329           2.0  4.0.3 and up   26      6  2018  \n",
       "612           3.0  4.0.3 and up   17      7  2018  \n",
       "615         2.2.9    4.4 and up   24      7  2018  \n",
       "633           4.0  4.0.3 and up   14      7  2018  \n",
       "636           8.2  4.0.3 and up    1      8  2018  \n",
       "...           ...           ...  ...    ...   ...  \n",
       "10721        2.5a    4.1 and up   19      6  2017  \n",
       "10742       0.7.1    4.4 and up   31     12  2017  \n",
       "10776         2.0    2.3 and up    5      3  2018  \n",
       "10820       3.8.0    4.1 and up   27      6  2018  \n",
       "10837         1.0    4.1 and up    6      7  2018  \n",
       "\n",
       "[271 rows x 16 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df_copy[df_copy['Rating']==5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "70c01c50-53a1-47b9-b71d-a857db16fa56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "271"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_copy[df_copy['Rating']==5])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ab38c5d-5a41-4a64-a9e4-457274ca2a91",
   "metadata": {},
   "source": [
    "## Observation\n",
    "\n",
    "There are 271 apps which are rated as 5 on Google Playstore "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "d59c1535-f2a7-48af-b403-2b480d9108c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "## App with Largest size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "1ab15d34-971d-4529-b285-f578be931311",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('float64')"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "df_copy['Size'].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "fbd3b40b-f714-4bcc-834b-9bf29d790d6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_copy['Size'].fillna(df_copy['Size'].mean(),inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "ff8401e7-387c-4409-819f-fc7bc72153f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy['Size'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "bb47bd54-7d39-48fd-a7d5-59f70ef7ae79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "100000.0"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.max(df_copy['Size'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "8b74606e-6e90-4fc7-8309-3375bdaf4512",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>App</th>\n",
       "      <th>Category</th>\n",
       "      <th>Rating</th>\n",
       "      <th>Reviews</th>\n",
       "      <th>Size</th>\n",
       "      <th>Installs</th>\n",
       "      <th>Type</th>\n",
       "      <th>Price</th>\n",
       "      <th>Content Rating</th>\n",
       "      <th>Genres</th>\n",
       "      <th>Last Updated</th>\n",
       "      <th>Current Ver</th>\n",
       "      <th>Android Ver</th>\n",
       "      <th>Day</th>\n",
       "      <th>Month</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1080</th>\n",
       "      <td>Post Bank</td>\n",
       "      <td>FINANCE</td>\n",
       "      <td>4.5</td>\n",
       "      <td>60449</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>1000000</td>\n",
       "      <td>Free</td>\n",
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       "      <td>Finance</td>\n",
       "      <td>2018-07-23</td>\n",
       "      <td>2.9.12</td>\n",
       "      <td>4.0 and up</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1565</th>\n",
       "      <td>Talking Babsy Baby: Baby Games</td>\n",
       "      <td>LIFESTYLE</td>\n",
       "      <td>4.0</td>\n",
       "      <td>140995</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>10000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Lifestyle;Pretend Play</td>\n",
       "      <td>2018-07-16</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0 and up</td>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1758</th>\n",
       "      <td>Hungry Shark Evolution</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.5</td>\n",
       "      <td>6074334</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>100000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Arcade</td>\n",
       "      <td>2018-07-25</td>\n",
       "      <td>6.0.0</td>\n",
       "      <td>4.1 and up</td>\n",
       "      <td>25</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1793</th>\n",
       "      <td>Mini Golf King - Multiplayer Game</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.5</td>\n",
       "      <td>531458</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>5000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Sports</td>\n",
       "      <td>2018-07-20</td>\n",
       "      <td>3.04.1</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>20</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2299</th>\n",
       "      <td>Navi Radiography Pro</td>\n",
       "      <td>MEDICAL</td>\n",
       "      <td>4.7</td>\n",
       "      <td>11</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>500</td>\n",
       "      <td>Paid</td>\n",
       "      <td>15.99</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Medical</td>\n",
       "      <td>2018-01-14</td>\n",
       "      <td>1.2.0</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4690</th>\n",
       "      <td>Vi Trainer</td>\n",
       "      <td>HEALTH_AND_FITNESS</td>\n",
       "      <td>3.6</td>\n",
       "      <td>124</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>5000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Health &amp; Fitness</td>\n",
       "      <td>2018-08-02</td>\n",
       "      <td>2.0.0.11</td>\n",
       "      <td>5.0 and up</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5427</th>\n",
       "      <td>Ultimate Tennis</td>\n",
       "      <td>SPORTS</td>\n",
       "      <td>4.3</td>\n",
       "      <td>183004</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>10000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Sports</td>\n",
       "      <td>2018-07-19</td>\n",
       "      <td>2.29.3118</td>\n",
       "      <td>4.0.3 and up</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5530</th>\n",
       "      <td>The Walking Dead: Our World</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.0</td>\n",
       "      <td>22435</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>1000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Teen</td>\n",
       "      <td>Action</td>\n",
       "      <td>2018-08-01</td>\n",
       "      <td>1.1.0.3</td>\n",
       "      <td>5.0 and up</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5862</th>\n",
       "      <td>Miami crime simulator</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.0</td>\n",
       "      <td>254518</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>10000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Mature 17+</td>\n",
       "      <td>Action</td>\n",
       "      <td>2018-07-09</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0 and up</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5865</th>\n",
       "      <td>Gangster Town: Vice District</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.3</td>\n",
       "      <td>65146</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>10000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Mature 17+</td>\n",
       "      <td>Simulation</td>\n",
       "      <td>2018-05-31</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4.0 and up</td>\n",
       "      <td>31</td>\n",
       "      <td>5</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7404</th>\n",
       "      <td>SimCity BuildIt</td>\n",
       "      <td>FAMILY</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4218587</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>50000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Simulation</td>\n",
       "      <td>2018-06-19</td>\n",
       "      <td>1.23.3.75024</td>\n",
       "      <td>4.0 and up</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8409</th>\n",
       "      <td>Car Crash III Beam DH Real Damage Simulator 2018</td>\n",
       "      <td>GAME</td>\n",
       "      <td>3.6</td>\n",
       "      <td>151</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>10000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Racing</td>\n",
       "      <td>2018-05-20</td>\n",
       "      <td>1.03</td>\n",
       "      <td>4.1 and up</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8847</th>\n",
       "      <td>Draft Simulator for FUT 18</td>\n",
       "      <td>SPORTS</td>\n",
       "      <td>4.6</td>\n",
       "      <td>162933</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>5000000</td>\n",
       "      <td>Free</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Everyone</td>\n",
       "      <td>Sports</td>\n",
       "      <td>2018-05-11</td>\n",
       "      <td>25.7</td>\n",
       "      <td>4.1 and up</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9170</th>\n",
       "      <td>Stickman Legends: Shadow Wars</td>\n",
       "      <td>GAME</td>\n",
       "      <td>4.4</td>\n",
       "      <td>38419</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>1000000</td>\n",
       "      <td>Paid</td>\n",
       "      <td>0.99</td>\n",
       "      <td>Everyone 10+</td>\n",
       "      <td>Action</td>\n",
       "      <td>2018-08-03</td>\n",
       "      <td>2.3.24</td>\n",
       "      <td>4.1 and up</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   App            Category  \\\n",
       "1080                                         Post Bank             FINANCE   \n",
       "1565                    Talking Babsy Baby: Baby Games           LIFESTYLE   \n",
       "1758                            Hungry Shark Evolution                GAME   \n",
       "1793                 Mini Golf King - Multiplayer Game                GAME   \n",
       "2299                              Navi Radiography Pro             MEDICAL   \n",
       "4690                                        Vi Trainer  HEALTH_AND_FITNESS   \n",
       "5427                                   Ultimate Tennis              SPORTS   \n",
       "5530                       The Walking Dead: Our World                GAME   \n",
       "5862                             Miami crime simulator                GAME   \n",
       "5865                      Gangster Town: Vice District              FAMILY   \n",
       "7404                                   SimCity BuildIt              FAMILY   \n",
       "8409  Car Crash III Beam DH Real Damage Simulator 2018                GAME   \n",
       "8847                        Draft Simulator for FUT 18              SPORTS   \n",
       "9170                     Stickman Legends: Shadow Wars                GAME   \n",
       "\n",
       "      Rating  Reviews      Size   Installs  Type  Price Content Rating  \\\n",
       "1080     4.5    60449  100000.0    1000000  Free   0.00       Everyone   \n",
       "1565     4.0   140995  100000.0   10000000  Free   0.00       Everyone   \n",
       "1758     4.5  6074334  100000.0  100000000  Free   0.00           Teen   \n",
       "1793     4.5   531458  100000.0    5000000  Free   0.00       Everyone   \n",
       "2299     4.7       11  100000.0        500  Paid  15.99       Everyone   \n",
       "4690     3.6      124  100000.0       5000  Free   0.00       Everyone   \n",
       "5427     4.3   183004  100000.0   10000000  Free   0.00       Everyone   \n",
       "5530     4.0    22435  100000.0    1000000  Free   0.00           Teen   \n",
       "5862     4.0   254518  100000.0   10000000  Free   0.00     Mature 17+   \n",
       "5865     4.3    65146  100000.0   10000000  Free   0.00     Mature 17+   \n",
       "7404     4.5  4218587  100000.0   50000000  Free   0.00   Everyone 10+   \n",
       "8409     3.6      151  100000.0      10000  Free   0.00       Everyone   \n",
       "8847     4.6   162933  100000.0    5000000  Free   0.00       Everyone   \n",
       "9170     4.4    38419  100000.0    1000000  Paid   0.99   Everyone 10+   \n",
       "\n",
       "                      Genres Last Updated   Current Ver   Android Ver  Day  \\\n",
       "1080                 Finance   2018-07-23        2.9.12    4.0 and up   23   \n",
       "1565  Lifestyle;Pretend Play   2018-07-16           9.0    4.0 and up   16   \n",
       "1758                  Arcade   2018-07-25         6.0.0    4.1 and up   25   \n",
       "1793                  Sports   2018-07-20        3.04.1  4.0.3 and up   20   \n",
       "2299                 Medical   2018-01-14         1.2.0  4.0.3 and up   14   \n",
       "4690        Health & Fitness   2018-08-02      2.0.0.11    5.0 and up    2   \n",
       "5427                  Sports   2018-07-19     2.29.3118  4.0.3 and up   19   \n",
       "5530                  Action   2018-08-01       1.1.0.3    5.0 and up    1   \n",
       "5862                  Action   2018-07-09           2.0    4.0 and up    9   \n",
       "5865              Simulation   2018-05-31           2.1    4.0 and up   31   \n",
       "7404              Simulation   2018-06-19  1.23.3.75024    4.0 and up   19   \n",
       "8409                  Racing   2018-05-20          1.03    4.1 and up   20   \n",
       "8847                  Sports   2018-05-11          25.7    4.1 and up   11   \n",
       "9170                  Action   2018-08-03        2.3.24    4.1 and up    3   \n",
       "\n",
       "      Month  Year  \n",
       "1080      7  2018  \n",
       "1565      7  2018  \n",
       "1758      7  2018  \n",
       "1793      7  2018  \n",
       "2299      1  2018  \n",
       "4690      8  2018  \n",
       "5427      7  2018  \n",
       "5530      8  2018  \n",
       "5862      7  2018  \n",
       "5865      5  2018  \n",
       "7404      6  2018  \n",
       "8409      5  2018  \n",
       "8847      5  2018  \n",
       "9170      8  2018  "
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy[df_copy['Size']==np.max(df_copy['Size'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "df7df11a-17ac-4650-a2d0-18c526ff1963",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_copy[df_copy['Size']==np.max(df_copy['Size'])])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "089524ef-cff5-46b8-931f-dbd5187874af",
   "metadata": {},
   "source": [
    "## Observations\n",
    "There are 14 apps which has maximum size=100000.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3d55fe64-1f71-4ad6-9a67-9629436bdf5a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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