zerotopandas-course-project.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Youtube Trend Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " **GOAL -** This project aims to analyze the videos featured in Youtube Trends.\n",
    " \n",
    " **OBJECTIVE -** To analyze what are the most popular categories, how views differ based on categories, whats are the viewers reactions(Like and Dislike), top Youtube channels creating frequent trending videos and how there viwers be like.\n",
    " \n",
    " **DATASET I'LL BE USING -** [kaggle](https://www.kaggle.com/rsrishav/youtube-trending-video-dataset) - by [Rishav Sharma](https://www.kaggle.com/rsrishav)\n",
    " \n",
    " **A LITTLE ABOUT DATASET -** This dataset is a record of the top trending YouTube videos from 12-08-2020 to 10-10-2020."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question the following project will be answering."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. [What categories does the trending videos belong to?](#What-categories-does-the-trending-videos-belong-to?)\n",
    "2. [Which category has maximum number of videos between 12-08-2020 to 10-10-2020 in trending section?](#Which-category-has-maximum-number-of-videos-between-12-08-2020-to-10-10-2020-in-trending-section?)\n",
    "3. [Which category has a better average views per video?](#Which-category-has-a-better-average-views-per-video?)\n",
    "4. [Which category has a larger user reactions(LIKE and DISLIKE)?](#Which-category-has-a-larger-user-reactions(LIKE-and-DISLIKE)?)\n",
    "5. [Which youtube creator has a most content reaching to trending section?](#Which-youtube-creator-has-a-most-content-reaching-to-trending-section?)\n",
    "6. [Which youtube channel has most average views per video?](#Which-youtube-channel-has-most-average-views-per-video?)\n",
    "7. [Which channel gets the most user reaction in their videos?](#Which-channel-gets-the-most-user-reaction-in-their-videos?)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing  Libraries\n",
    "Importing some neccessary libraries required throughout the project."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Making changes to make charts more appealing and informative."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set_style(\"whitegrid\")\n",
    "matplotlib.rcParams['font.size'] = 13\n",
    "matplotlib.rcParams['figure.figsize'] = (14, 6)\n",
    "matplotlib.rcParams['figure.facecolor'] = '#00000000'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Data Preperation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here I w'll be using two different yet inter-related dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>video_id</th>\n",
       "      <th>title</th>\n",
       "      <th>publishedAt</th>\n",
       "      <th>channelId</th>\n",
       "      <th>channelTitle</th>\n",
       "      <th>categoryId</th>\n",
       "      <th>trending_date</th>\n",
       "      <th>tags</th>\n",
       "      <th>view_count</th>\n",
       "      <th>likes</th>\n",
       "      <th>dislikes</th>\n",
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       "  </thead>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Iot0eF6EoNA</td>\n",
       "      <td>Sadak 2 | Official Trailer | Sanjay | Pooja | ...</td>\n",
       "      <td>2020-08-12T04:31:41Z</td>\n",
       "      <td>UCGqvJPRcv7aVFun-eTsatcA</td>\n",
       "      <td>FoxStarHindi</td>\n",
       "      <td>24</td>\n",
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       "      <td>224925</td>\n",
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       "      <td>350210</td>\n",
       "      <td>https://i.ytimg.com/vi/Iot0eF6EoNA/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Three Streams. Three Stories. One Journey. Sta...</td>\n",
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       "      <th>1</th>\n",
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       "      <td>Kya Baat Aa : Karan Aujla (Official Video) Tan...</td>\n",
       "      <td>2020-08-11T09:00:11Z</td>\n",
       "      <td>UCm9SZAl03Rev9sFwloCdz1g</td>\n",
       "      <td>Rehaan Records</td>\n",
       "      <td>10</td>\n",
       "      <td>2020-08-12T00:00:00Z</td>\n",
       "      <td>[None]</td>\n",
       "      <td>11308046</td>\n",
       "      <td>655450</td>\n",
       "      <td>33242</td>\n",
       "      <td>405146</td>\n",
       "      <td>https://i.ytimg.com/vi/x-KbnJ9fvJc/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>Singer/Lyrics: Karan Aujla Feat Tania Music/ D...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>KX06ksuS6Xo</td>\n",
       "      <td>Diljit Dosanjh: CLASH (Official) Music Video |...</td>\n",
       "      <td>2020-08-11T07:30:02Z</td>\n",
       "      <td>UCZRdNleCgW-BGUJf-bbjzQg</td>\n",
       "      <td>Diljit Dosanjh</td>\n",
       "      <td>10</td>\n",
       "      <td>2020-08-12T00:00:00Z</td>\n",
       "      <td>clash diljit dosanjh|diljit dosanjh|diljit dos...</td>\n",
       "      <td>9140911</td>\n",
       "      <td>296533</td>\n",
       "      <td>6179</td>\n",
       "      <td>30058</td>\n",
       "      <td>https://i.ytimg.com/vi/KX06ksuS6Xo/default.jpg</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>CLASH official music video performed by DILJIT...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      video_id                                              title  \\\n",
       "0  Iot0eF6EoNA  Sadak 2 | Official Trailer | Sanjay | Pooja | ...   \n",
       "1  x-KbnJ9fvJc  Kya Baat Aa : Karan Aujla (Official Video) Tan...   \n",
       "2  KX06ksuS6Xo  Diljit Dosanjh: CLASH (Official) Music Video |...   \n",
       "\n",
       "            publishedAt                 channelId    channelTitle  categoryId  \\\n",
       "0  2020-08-12T04:31:41Z  UCGqvJPRcv7aVFun-eTsatcA    FoxStarHindi          24   \n",
       "1  2020-08-11T09:00:11Z  UCm9SZAl03Rev9sFwloCdz1g  Rehaan Records          10   \n",
       "2  2020-08-11T07:30:02Z  UCZRdNleCgW-BGUJf-bbjzQg  Diljit Dosanjh          10   \n",
       "\n",
       "          trending_date                                               tags  \\\n",
       "0  2020-08-12T00:00:00Z  sadak|sadak 2|mahesh bhatt|vishesh films|pooja...   \n",
       "1  2020-08-12T00:00:00Z                                             [None]   \n",
       "2  2020-08-12T00:00:00Z  clash diljit dosanjh|diljit dosanjh|diljit dos...   \n",
       "\n",
       "   view_count   likes  dislikes  comment_count  \\\n",
       "0     9885899  224925   3979409         350210   \n",
       "1    11308046  655450     33242         405146   \n",
       "2     9140911  296533      6179          30058   \n",
       "\n",
       "                                   thumbnail_link  comments_disabled  \\\n",
       "0  https://i.ytimg.com/vi/Iot0eF6EoNA/default.jpg              False   \n",
       "1  https://i.ytimg.com/vi/x-KbnJ9fvJc/default.jpg              False   \n",
       "2  https://i.ytimg.com/vi/KX06ksuS6Xo/default.jpg              False   \n",
       "\n",
       "   ratings_disabled                                        description  \n",
       "0             False  Three Streams. Three Stories. One Journey. Sta...  \n",
       "1             False  Singer/Lyrics: Karan Aujla Feat Tania Music/ D...  \n",
       "2             False  CLASH official music video performed by DILJIT...  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "youtube_trending_df = pd.read_csv(\"IN_youtube_trending_data.csv\")\n",
    "youtube_trending_df.head(3) # Viewing the first 3 rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>publishedAt</th>\n",
       "      <th>channelTitle</th>\n",
       "      <th>categoryId</th>\n",
       "      <th>trending_date</th>\n",
       "      <th>view_count</th>\n",
       "      <th>likes</th>\n",
       "      <th>dislikes</th>\n",
       "      <th>comment_count</th>\n",
       "      <th>comments_disabled</th>\n",
       "      <th>ratings_disabled</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>Sadak 2 | Official Trailer | Sanjay | Pooja | ...</td>\n",
       "      <td>2020-08-12T04:31:41Z</td>\n",
       "      <td>FoxStarHindi</td>\n",
       "      <td>24</td>\n",
       "      <td>2020-08-12T00:00:00Z</td>\n",
       "      <td>9885899</td>\n",
       "      <td>224925</td>\n",
       "      <td>3979409</td>\n",
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       "      <td>False</td>\n",
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       "      <th>1</th>\n",
       "      <td>Kya Baat Aa : Karan Aujla (Official Video) Tan...</td>\n",
       "      <td>2020-08-11T09:00:11Z</td>\n",
       "      <td>Rehaan Records</td>\n",
       "      <td>10</td>\n",
       "      <td>2020-08-12T00:00:00Z</td>\n",
       "      <td>11308046</td>\n",
       "      <td>655450</td>\n",
       "      <td>33242</td>\n",
       "      <td>405146</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Diljit Dosanjh: CLASH (Official) Music Video |...</td>\n",
       "      <td>2020-08-11T07:30:02Z</td>\n",
       "      <td>Diljit Dosanjh</td>\n",
       "      <td>10</td>\n",
       "      <td>2020-08-12T00:00:00Z</td>\n",
       "      <td>9140911</td>\n",
       "      <td>296533</td>\n",
       "      <td>6179</td>\n",
       "      <td>30058</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               title           publishedAt  \\\n",
       "0  Sadak 2 | Official Trailer | Sanjay | Pooja | ...  2020-08-12T04:31:41Z   \n",
       "1  Kya Baat Aa : Karan Aujla (Official Video) Tan...  2020-08-11T09:00:11Z   \n",
       "2  Diljit Dosanjh: CLASH (Official) Music Video |...  2020-08-11T07:30:02Z   \n",
       "\n",
       "     channelTitle  categoryId         trending_date  view_count   likes  \\\n",
       "0    FoxStarHindi          24  2020-08-12T00:00:00Z     9885899  224925   \n",
       "1  Rehaan Records          10  2020-08-12T00:00:00Z    11308046  655450   \n",
       "2  Diljit Dosanjh          10  2020-08-12T00:00:00Z     9140911  296533   \n",
       "\n",
       "   dislikes  comment_count  comments_disabled  ratings_disabled  \n",
       "0   3979409         350210              False             False  \n",
       "1     33242         405146              False             False  \n",
       "2      6179          30058              False             False  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dropping unimportant columns from youtube_trending_df\n",
    "youtube_trending_df = youtube_trending_df.drop(['video_id', 'channelId', 'tags', 'thumbnail_link', 'description'], axis = 1);\n",
    "youtube_trending_df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11230, 11)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "youtube_trending_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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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>etag</th>\n",
       "      <th>id</th>\n",
       "      <th>category</th>\n",
       "      <th>snippet__assignable</th>\n",
       "      <th>snippet__channelId</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>IfWa37JGcqZs-jZeAyFGkbeh6bc</td>\n",
       "      <td>1</td>\n",
       "      <td>Film &amp; Animation</td>\n",
       "      <td>True</td>\n",
       "      <td>UCBR8-60-B28hp2BmDPdntcQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5XGylIs7zkjHh5940dsT5862m1Y</td>\n",
       "      <td>2</td>\n",
       "      <td>Autos &amp; Vehicles</td>\n",
       "      <td>True</td>\n",
       "      <td>UCBR8-60-B28hp2BmDPdntcQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HCjFMARbBeWjpm6PDfReCOMOZGA</td>\n",
       "      <td>10</td>\n",
       "      <td>Music</td>\n",
       "      <td>True</td>\n",
       "      <td>UCBR8-60-B28hp2BmDPdntcQ</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          etag  id          category  snippet__assignable  \\\n",
       "0  IfWa37JGcqZs-jZeAyFGkbeh6bc   1  Film & Animation                 True   \n",
       "1  5XGylIs7zkjHh5940dsT5862m1Y   2  Autos & Vehicles                 True   \n",
       "2  HCjFMARbBeWjpm6PDfReCOMOZGA  10             Music                 True   \n",
       "\n",
       "         snippet__channelId  \n",
       "0  UCBR8-60-B28hp2BmDPdntcQ  \n",
       "1  UCBR8-60-B28hp2BmDPdntcQ  \n",
       "2  UCBR8-60-B28hp2BmDPdntcQ  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category_df = pd.read_csv(\"IN_category_id.csv\")\n",
    "category_df.head(3) # Viewing the first 3 rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Film &amp; Animation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Autos &amp; Vehicles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10</td>\n",
       "      <td>Music</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id          category\n",
       "0   1  Film & Animation\n",
       "1   2  Autos & Vehicles\n",
       "2  10             Music"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dropping unimportant columns from youtube_trending_df\n",
    "category_df = category_df.drop(['etag', 'snippet__assignable', 'snippet__channelId'], axis=1)\n",
    "category_df.head(3) # Viewing the first 3 rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(31, 2)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Cleaning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Checking whether if the dataset contains any null value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id          0\n",
       "category    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since the returned sum is 0 so there is no null values in the dataframe. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
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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>title</th>\n",
       "      <th>publishedAt</th>\n",
       "      <th>channelTitle</th>\n",
       "      <th>categoryId</th>\n",
       "      <th>trending_date</th>\n",
       "      <th>view_count</th>\n",
       "      <th>likes</th>\n",
       "      <th>dislikes</th>\n",
       "      <th>comment_count</th>\n",
       "      <th>comments_disabled</th>\n",
       "      <th>ratings_disabled</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sadak 2 | Official Trailer | Sanjay | Pooja | ...</td>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>FoxStarHindi</td>\n",
       "      <td>24</td>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>9885899</td>\n",
       "      <td>224925</td>\n",
       "      <td>3979409</td>\n",
       "      <td>350210</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Kya Baat Aa : Karan Aujla (Official Video) Tan...</td>\n",
       "      <td>2020-08-11</td>\n",
       "      <td>Rehaan Records</td>\n",
       "      <td>10</td>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>11308046</td>\n",
       "      <td>655450</td>\n",
       "      <td>33242</td>\n",
       "      <td>405146</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Diljit Dosanjh: CLASH (Official) Music Video |...</td>\n",
       "      <td>2020-08-11</td>\n",
       "      <td>Diljit Dosanjh</td>\n",
       "      <td>10</td>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>9140911</td>\n",
       "      <td>296533</td>\n",
       "      <td>6179</td>\n",
       "      <td>30058</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Dil Ko Maine Di Kasam Video | Amaal M Ft.Ariji...</td>\n",
       "      <td>2020-08-10</td>\n",
       "      <td>T-Series</td>\n",
       "      <td>10</td>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>23564512</td>\n",
       "      <td>743931</td>\n",
       "      <td>84162</td>\n",
       "      <td>136942</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Baarish (Official Video) Payal Dev,Stebin Ben ...</td>\n",
       "      <td>2020-08-11</td>\n",
       "      <td>VYRLOriginals</td>\n",
       "      <td>10</td>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>6783649</td>\n",
       "      <td>268817</td>\n",
       "      <td>8798</td>\n",
       "      <td>22984</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               title publishedAt  \\\n",
       "0  Sadak 2 | Official Trailer | Sanjay | Pooja | ...  2020-08-12   \n",
       "1  Kya Baat Aa : Karan Aujla (Official Video) Tan...  2020-08-11   \n",
       "2  Diljit Dosanjh: CLASH (Official) Music Video |...  2020-08-11   \n",
       "3  Dil Ko Maine Di Kasam Video | Amaal M Ft.Ariji...  2020-08-10   \n",
       "4  Baarish (Official Video) Payal Dev,Stebin Ben ...  2020-08-11   \n",
       "\n",
       "     channelTitle  categoryId trending_date  view_count   likes  dislikes  \\\n",
       "0    FoxStarHindi          24    2020-08-12     9885899  224925   3979409   \n",
       "1  Rehaan Records          10    2020-08-12    11308046  655450     33242   \n",
       "2  Diljit Dosanjh          10    2020-08-12     9140911  296533      6179   \n",
       "3        T-Series          10    2020-08-12    23564512  743931     84162   \n",
       "4   VYRLOriginals          10    2020-08-12     6783649  268817      8798   \n",
       "\n",
       "   comment_count  comments_disabled  ratings_disabled  \n",
       "0         350210              False             False  \n",
       "1         405146              False             False  \n",
       "2          30058              False             False  \n",
       "3         136942              False             False  \n",
       "4          22984              False             False  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Correcting the timestamp format of publishedAt and created at\n",
    "youtube_trending_df['publishedAt'] = pd.to_datetime(youtube_trending_df['publishedAt'])\n",
    "youtube_trending_df['publishedAt'] = youtube_trending_df['publishedAt'].dt.date\n",
    "\n",
    "youtube_trending_df['trending_date'] = pd.to_datetime(youtube_trending_df['trending_date'])\n",
    "youtube_trending_df['trending_date'] = youtube_trending_df['trending_date'].dt.date\n",
    "youtube_trending_df.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Merging the two dataframe youtube_trending_df and category_df wrt to Category."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>publishedAt</th>\n",
       "      <th>channelTitle</th>\n",
       "      <th>categoryId</th>\n",
       "      <th>trending_date</th>\n",
       "      <th>view_count</th>\n",
       "      <th>likes</th>\n",
       "      <th>dislikes</th>\n",
       "      <th>comment_count</th>\n",
       "      <th>comments_disabled</th>\n",
       "      <th>ratings_disabled</th>\n",
       "      <th>id</th>\n",
       "      <th>category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sadak 2 | Official Trailer | Sanjay | Pooja | ...</td>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>FoxStarHindi</td>\n",
       "      <td>24</td>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>9885899</td>\n",
       "      <td>224925</td>\n",
       "      <td>3979409</td>\n",
       "      <td>350210</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>24</td>\n",
       "      <td>Entertainment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Naagin 5 | नागिन 5 | Episode 01 | Recap</td>\n",
       "      <td>2020-08-10</td>\n",
       "      <td>Colors TV</td>\n",
       "      <td>24</td>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>3816680</td>\n",
       "      <td>30086</td>\n",
       "      <td>6786</td>\n",
       "      <td>3733</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>24</td>\n",
       "      <td>Entertainment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ludo | BakLol Video</td>\n",
       "      <td>2020-08-11</td>\n",
       "      <td>BakLol Video</td>\n",
       "      <td>24</td>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>837562</td>\n",
       "      <td>21510</td>\n",
       "      <td>2290</td>\n",
       "      <td>1704</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>24</td>\n",
       "      <td>Entertainment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FLESH Official Trailer | Eros Now Originals | ...</td>\n",
       "      <td>2020-08-11</td>\n",
       "      <td>Eros Now</td>\n",
       "      <td>24</td>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>13210819</td>\n",
       "      <td>18787</td>\n",
       "      <td>21210</td>\n",
       "      <td>0</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>24</td>\n",
       "      <td>Entertainment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>WALL OF DARES WITH BROTHER &amp; SISTER PART 2 | R...</td>\n",
       "      <td>2020-08-11</td>\n",
       "      <td>Rimorav Vlogs</td>\n",
       "      <td>24</td>\n",
       "      <td>2020-08-12</td>\n",
       "      <td>1549015</td>\n",
       "      <td>210151</td>\n",
       "      <td>2682</td>\n",
       "      <td>140543</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>24</td>\n",
       "      <td>Entertainment</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               title publishedAt  \\\n",
       "0  Sadak 2 | Official Trailer | Sanjay | Pooja | ...  2020-08-12   \n",
       "1            Naagin 5 | नागिन 5 | Episode 01 | Recap  2020-08-10   \n",
       "2                                Ludo | BakLol Video  2020-08-11   \n",
       "3  FLESH Official Trailer | Eros Now Originals | ...  2020-08-11   \n",
       "4  WALL OF DARES WITH BROTHER & SISTER PART 2 | R...  2020-08-11   \n",
       "\n",
       "    channelTitle  categoryId trending_date  view_count   likes  dislikes  \\\n",
       "0   FoxStarHindi          24    2020-08-12     9885899  224925   3979409   \n",
       "1      Colors TV          24    2020-08-12     3816680   30086      6786   \n",
       "2   BakLol Video          24    2020-08-12      837562   21510      2290   \n",
       "3       Eros Now          24    2020-08-12    13210819   18787     21210   \n",
       "4  Rimorav Vlogs          24    2020-08-12     1549015  210151      2682   \n",
       "\n",
       "   comment_count  comments_disabled  ratings_disabled  id       category  \n",
       "0         350210              False             False  24  Entertainment  \n",
       "1           3733              False             False  24  Entertainment  \n",
       "2           1704              False             False  24  Entertainment  \n",
       "3              0               True             False  24  Entertainment  \n",
       "4         140543              False             False  24  Entertainment  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "youtube_trending_df2 = youtube_trending_df.merge(category_df, left_on='categoryId', right_on='id')\n",
    "youtube_trending_df2.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Removing the id column as it is no longer required\n",
    "youtube_trending_df2 = youtube_trending_df2.drop(['id', 'categoryId'], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title                0\n",
       "publishedAt          0\n",
       "channelTitle         0\n",
       "trending_date        0\n",
       "view_count           0\n",
       "likes                0\n",
       "dislikes             0\n",
       "comment_count        0\n",
       "comments_disabled    0\n",
       "ratings_disabled     0\n",
       "category             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "youtube_trending_df2.isnull().sum() # Checking for any null value in the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since the returned sum is 0 so there is no null values in this dataframe as well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Removing if there is any duplicate row \n",
    "youtube_trending_df2 = youtube_trending_df2.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "youtube_trending_df2 = youtube_trending_df2.sort_values('trending_date', ascending=False) # Sorting the data frame into descending order wrt to trending date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3220, 11)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "youtube_trending_df2 = youtube_trending_df2.drop_duplicates(subset=['title'])\n",
    "youtube_trending_df2.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exploratory Analysis and Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Retrieving the list of categories in the dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "### LIST OF CATEGORIES ###\n",
      "Film & Animation\n",
      "Autos & Vehicles\n",
      "Music\n",
      "Pets & Animals\n",
      "Sports\n",
      "Short Movies\n",
      "Travel & Events\n",
      "Gaming\n",
      "Videoblogging\n",
      "People & Blogs\n",
      "Comedy\n",
      "Entertainment\n",
      "News & Politics\n",
      "Howto & Style\n",
      "Education\n",
      "Science & Technology\n",
      "Movies\n",
      "Anime/Animation\n",
      "Action/Adventure\n",
      "Classics\n",
      "Documentary\n",
      "Drama\n",
      "Family\n",
      "Foreign\n",
      "Horror\n",
      "Sci-Fi/Fantasy\n",
      "Thriller\n",
      "Shorts\n",
      "Shows\n",
      "Trailers\n"
     ]
    }
   ],
   "source": [
    "categories = category_df.category.unique()\n",
    "print('### LIST OF CATEGORIES ###')\n",
    "print('\\n'.join(map(str, categories)))  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "### Here the videos are classified into 30 categories.\n"
     ]
    }
   ],
   "source": [
    "print(\"### Here the videos are classified into {} categories.\".format(categories.shape[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### What categories does the trending videos belong to?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "### CATEGORIES TRENDING VIDEO BELONGS TO- ###\n",
      "Travel & Events\n",
      "Entertainment\n",
      "People & Blogs\n",
      "Howto & Style\n",
      "Music\n",
      "Science & Technology\n",
      "News & Politics\n",
      "Comedy\n",
      "Film & Animation\n",
      "Gaming\n",
      "Sports\n",
      "Education\n",
      "Autos & Vehicles\n"
     ]
    }
   ],
   "source": [
    "trending_categories = youtube_trending_df2.category.unique()\n",
    "print('### CATEGORIES TRENDING VIDEO BELONGS TO- ###')\n",
    "print('\\n'.join(map(str, trending_categories)))  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "### The videos belongs to only 13 categories out of 30.\n"
     ]
    }
   ],
   "source": [
    "print(\"### The videos belongs to only {} categories out of {}.\".format(trending_categories.shape[0], categories.shape[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>18877</td>\n",
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       "      <th>1</th>\n",
       "      <td>Comedy</td>\n",
       "      <td>447873169</td>\n",
       "      <td>36206614</td>\n",
       "      <td>932676</td>\n",
       "      <td>2390701</td>\n",
       "      <td>0</td>\n",
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       "      <th>2</th>\n",
       "      <td>Education</td>\n",
       "      <td>45853348</td>\n",
       "      <td>2092676</td>\n",
       "      <td>110034</td>\n",
       "      <td>294214</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Entertainment</td>\n",
       "      <td>2303639590</td>\n",
       "      <td>75899864</td>\n",
       "      <td>16198109</td>\n",
       "      <td>7468795</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Film &amp; Animation</td>\n",
       "      <td>93779369</td>\n",
       "      <td>3103028</td>\n",
       "      <td>2007856</td>\n",
       "      <td>543224</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Gaming</td>\n",
       "      <td>173358946</td>\n",
       "      <td>9098393</td>\n",
       "      <td>295990</td>\n",
       "      <td>742835</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Howto &amp; Style</td>\n",
       "      <td>148819084</td>\n",
       "      <td>5796135</td>\n",
       "      <td>470860</td>\n",
       "      <td>490819</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Music</td>\n",
       "      <td>2934369009</td>\n",
       "      <td>171526104</td>\n",
       "      <td>10527220</td>\n",
       "      <td>29805625</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>News &amp; Politics</td>\n",
       "      <td>141592697</td>\n",
       "      <td>3605726</td>\n",
       "      <td>1766787</td>\n",
       "      <td>637841</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>People &amp; Blogs</td>\n",
       "      <td>286019268</td>\n",
       "      <td>16628002</td>\n",
       "      <td>618042</td>\n",
       "      <td>1408165</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Science &amp; Technology</td>\n",
       "      <td>505726257</td>\n",
       "      <td>21584469</td>\n",
       "      <td>1136452</td>\n",
       "      <td>1988518</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Sports</td>\n",
       "      <td>308546432</td>\n",
       "      <td>10226424</td>\n",
       "      <td>297427</td>\n",
       "      <td>576008</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Travel &amp; Events</td>\n",
       "      <td>12359347</td>\n",
       "      <td>799423</td>\n",
       "      <td>21551</td>\n",
       "      <td>271884</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                category  view_count      likes  dislikes  comment_count  \\\n",
       "0       Autos & Vehicles    11311096     352777     18877          31142   \n",
       "1                 Comedy   447873169   36206614    932676        2390701   \n",
       "2              Education    45853348    2092676    110034         294214   \n",
       "3          Entertainment  2303639590   75899864  16198109        7468795   \n",
       "4       Film & Animation    93779369    3103028   2007856         543224   \n",
       "5                 Gaming   173358946    9098393    295990         742835   \n",
       "6          Howto & Style   148819084    5796135    470860         490819   \n",
       "7                  Music  2934369009  171526104  10527220       29805625   \n",
       "8        News & Politics   141592697    3605726   1766787         637841   \n",
       "9         People & Blogs   286019268   16628002    618042        1408165   \n",
       "10  Science & Technology   505726257   21584469   1136452        1988518   \n",
       "11                Sports   308546432   10226424    297427         576008   \n",
       "12       Travel & Events    12359347     799423     21551         271884   \n",
       "\n",
       "    comments_disabled  ratings_disabled  \n",
       "0                   0                 0  \n",
       "1                   0                 0  \n",
       "2                   1                 0  \n",
       "3                  12                 2  \n",
       "4                   0                 0  \n",
       "5                   0                 0  \n",
       "6                   0                 3  \n",
       "7                   1                 2  \n",
       "8                   5                20  \n",
       "9                  10                 7  \n",
       "10                  9                 0  \n",
       "11                  0                 1  \n",
       "12                  0                 0  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categories_overall = youtube_trending_df2.groupby('category', as_index=False).sum()\n",
    "categories_overall"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>category</th>\n",
       "      <th>view_count</th>\n",
       "      <th>likes</th>\n",
       "      <th>dislikes</th>\n",
       "      <th>comment_count</th>\n",
       "      <th>comments_disabled</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Autos &amp; Vehicles</td>\n",
       "      <td>11311096</td>\n",
       "      <td>352777</td>\n",
       "      <td>18877</td>\n",
       "      <td>31142</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Comedy</td>\n",
       "      <td>447873169</td>\n",
       "      <td>36206614</td>\n",
       "      <td>932676</td>\n",
       "      <td>2390701</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Education</td>\n",
       "      <td>45853348</td>\n",
       "      <td>2092676</td>\n",
       "      <td>110034</td>\n",
       "      <td>294214</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Entertainment</td>\n",
       "      <td>2303639590</td>\n",
       "      <td>75899864</td>\n",
       "      <td>16198109</td>\n",
       "      <td>7468795</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>1404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Film &amp; Animation</td>\n",
       "      <td>93779369</td>\n",
       "      <td>3103028</td>\n",
       "      <td>2007856</td>\n",
       "      <td>543224</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Gaming</td>\n",
       "      <td>173358946</td>\n",
       "      <td>9098393</td>\n",
       "      <td>295990</td>\n",
       "      <td>742835</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Howto &amp; Style</td>\n",
       "      <td>148819084</td>\n",
       "      <td>5796135</td>\n",
       "      <td>470860</td>\n",
       "      <td>490819</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Music</td>\n",
       "      <td>2934369009</td>\n",
       "      <td>171526104</td>\n",
       "      <td>10527220</td>\n",
       "      <td>29805625</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>News &amp; Politics</td>\n",
       "      <td>141592697</td>\n",
       "      <td>3605726</td>\n",
       "      <td>1766787</td>\n",
       "      <td>637841</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>People &amp; Blogs</td>\n",
       "      <td>286019268</td>\n",
       "      <td>16628002</td>\n",
       "      <td>618042</td>\n",
       "      <td>1408165</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Science &amp; Technology</td>\n",
       "      <td>505726257</td>\n",
       "      <td>21584469</td>\n",
       "      <td>1136452</td>\n",
       "      <td>1988518</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Sports</td>\n",
       "      <td>308546432</td>\n",
       "      <td>10226424</td>\n",
       "      <td>297427</td>\n",
       "      <td>576008</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Travel &amp; Events</td>\n",
       "      <td>12359347</td>\n",
       "      <td>799423</td>\n",
       "      <td>21551</td>\n",
       "      <td>271884</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                category  view_count      likes  dislikes  comment_count  \\\n",
       "0       Autos & Vehicles    11311096     352777     18877          31142   \n",
       "1                 Comedy   447873169   36206614    932676        2390701   \n",
       "2              Education    45853348    2092676    110034         294214   \n",
       "3          Entertainment  2303639590   75899864  16198109        7468795   \n",
       "4       Film & Animation    93779369    3103028   2007856         543224   \n",
       "5                 Gaming   173358946    9098393    295990         742835   \n",
       "6          Howto & Style   148819084    5796135    470860         490819   \n",
       "7                  Music  2934369009  171526104  10527220       29805625   \n",
       "8        News & Politics   141592697    3605726   1766787         637841   \n",
       "9         People & Blogs   286019268   16628002    618042        1408165   \n",
       "10  Science & Technology   505726257   21584469   1136452        1988518   \n",
       "11                Sports   308546432   10226424    297427         576008   \n",
       "12       Travel & Events    12359347     799423     21551         271884   \n",
       "\n",
       "    comments_disabled  ratings_disabled  videos_count  \n",
       "0                   0                 0            22  \n",
       "1                   0                 0           250  \n",
       "2                   1                 0            65  \n",
       "3                  12                 2          1404  \n",
       "4                   0                 0            34  \n",
       "5                   0                 0            41  \n",
       "6                   0                 3           144  \n",
       "7                   1                 2           481  \n",
       "8                   5                20           168  \n",
       "9                  10                 7           279  \n",
       "10                  9                 0           174  \n",
       "11                  0                 1           132  \n",
       "12                  0                 0            26  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categories_overall['videos_count'] = youtube_trending_df2.groupby('category', as_index=False).count().title\n",
    "categories_overall"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "### VIDEOS IN EACH CATEGORIES ###\n"
     ]
    },
    {
     "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>videos_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Autos &amp; Vehicles</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Comedy</td>\n",
       "      <td>250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Education</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Entertainment</td>\n",
       "      <td>1404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Film &amp; Animation</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Gaming</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Howto &amp; Style</td>\n",
       "      <td>144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Music</td>\n",
       "      <td>481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>News &amp; Politics</td>\n",
       "      <td>168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>People &amp; Blogs</td>\n",
       "      <td>279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Science &amp; Technology</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Sports</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Travel &amp; Events</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                category  videos_count\n",
       "0       Autos & Vehicles            22\n",
       "1                 Comedy           250\n",
       "2              Education            65\n",
       "3          Entertainment          1404\n",
       "4       Film & Animation            34\n",
       "5                 Gaming            41\n",
       "6          Howto & Style           144\n",
       "7                  Music           481\n",
       "8        News & Politics           168\n",
       "9         People & Blogs           279\n",
       "10  Science & Technology           174\n",
       "11                Sports           132\n",
       "12       Travel & Events            26"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('### VIDEOS IN EACH CATEGORIES ###')\n",
    "categories_overall[['category', 'videos_count']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Which category has maximum number of videos between 12-08-2020 to 10-10-2020 in trending section?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"Number of videos in each Category\")\n",
    "plt.plot(categories_overall.category, categories_overall.videos_count, 'b-o', linewidth=2, markersize=8, markeredgewidth=4, markeredgecolor='navy');\n",
    "plt.xlabel('Category'); \n",
    "plt.ylabel('No. of Videos');\n",
    "plt.xticks(rotation=45);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> From the above graph the top 3 categories having most of the videos in trending are : **Entertainment, Music and People & Blogs** ."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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>view_count</th>\n",
       "      <th>likes</th>\n",
       "      <th>dislikes</th>\n",
       "      <th>comment_count</th>\n",
       "      <th>comments_disabled</th>\n",
       "      <th>ratings_disabled</th>\n",
       "      <th>videos_count</th>\n",
       "      <th>views_per_video</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Autos &amp; Vehicles</td>\n",
       "      <td>11311096</td>\n",
       "      <td>352777</td>\n",
       "      <td>18877</td>\n",
       "      <td>31142</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>514140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Comedy</td>\n",
       "      <td>447873169</td>\n",
       "      <td>36206614</td>\n",
       "      <td>932676</td>\n",
       "      <td>2390701</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>250</td>\n",
       "      <td>1791492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Education</td>\n",
       "      <td>45853348</td>\n",
       "      <td>2092676</td>\n",
       "      <td>110034</td>\n",
       "      <td>294214</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>65</td>\n",
       "      <td>705436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Entertainment</td>\n",
       "      <td>2303639590</td>\n",
       "      <td>75899864</td>\n",
       "      <td>16198109</td>\n",
       "      <td>7468795</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>1404</td>\n",
       "      <td>1640768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Film &amp; Animation</td>\n",
       "      <td>93779369</td>\n",
       "      <td>3103028</td>\n",
       "      <td>2007856</td>\n",
       "      <td>543224</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>2758216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Gaming</td>\n",
       "      <td>173358946</td>\n",
       "      <td>9098393</td>\n",
       "      <td>295990</td>\n",
       "      <td>742835</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>4228266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Howto &amp; Style</td>\n",
       "      <td>148819084</td>\n",
       "      <td>5796135</td>\n",
       "      <td>470860</td>\n",
       "      <td>490819</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>144</td>\n",
       "      <td>1033465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Music</td>\n",
       "      <td>2934369009</td>\n",
       "      <td>171526104</td>\n",
       "      <td>10527220</td>\n",
       "      <td>29805625</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>481</td>\n",
       "      <td>6100559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>News &amp; Politics</td>\n",
       "      <td>141592697</td>\n",
       "      <td>3605726</td>\n",
       "      <td>1766787</td>\n",
       "      <td>637841</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>168</td>\n",
       "      <td>842813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>People &amp; Blogs</td>\n",
       "      <td>286019268</td>\n",
       "      <td>16628002</td>\n",
       "      <td>618042</td>\n",
       "      <td>1408165</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>279</td>\n",
       "      <td>1025158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Science &amp; Technology</td>\n",
       "      <td>505726257</td>\n",
       "      <td>21584469</td>\n",
       "      <td>1136452</td>\n",
       "      <td>1988518</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>174</td>\n",
       "      <td>2906472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Sports</td>\n",
       "      <td>308546432</td>\n",
       "      <td>10226424</td>\n",
       "      <td>297427</td>\n",
       "      <td>576008</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>132</td>\n",
       "      <td>2337472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Travel &amp; Events</td>\n",
       "      <td>12359347</td>\n",
       "      <td>799423</td>\n",
       "      <td>21551</td>\n",
       "      <td>271884</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>475359</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                category  view_count      likes  dislikes  comment_count  \\\n",
       "0       Autos & Vehicles    11311096     352777     18877          31142   \n",
       "1                 Comedy   447873169   36206614    932676        2390701   \n",
       "2              Education    45853348    2092676    110034         294214   \n",
       "3          Entertainment  2303639590   75899864  16198109        7468795   \n",
       "4       Film & Animation    93779369    3103028   2007856         543224   \n",
       "5                 Gaming   173358946    9098393    295990         742835   \n",
       "6          Howto & Style   148819084    5796135    470860         490819   \n",
       "7                  Music  2934369009  171526104  10527220       29805625   \n",
       "8        News & Politics   141592697    3605726   1766787         637841   \n",
       "9         People & Blogs   286019268   16628002    618042        1408165   \n",
       "10  Science & Technology   505726257   21584469   1136452        1988518   \n",
       "11                Sports   308546432   10226424    297427         576008   \n",
       "12       Travel & Events    12359347     799423     21551         271884   \n",
       "\n",
       "    comments_disabled  ratings_disabled  videos_count  views_per_video  \n",
       "0                   0                 0            22           514140  \n",
       "1                   0                 0           250          1791492  \n",
       "2                   1                 0            65           705436  \n",
       "3                  12                 2          1404          1640768  \n",
       "4                   0                 0            34          2758216  \n",
       "5                   0                 0            41          4228266  \n",
       "6                   0                 3           144          1033465  \n",
       "7                   1                 2           481          6100559  \n",
       "8                   5                20           168           842813  \n",
       "9                  10                 7           279          1025158  \n",
       "10                  9                 0           174          2906472  \n",
       "11                  0                 1           132          2337472  \n",
       "12                  0                 0            26           475359  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categories_overall['views_per_video'] = (categories_overall.view_count / categories_overall.videos_count).astype(int)\n",
    "categories_overall"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Which category has a better average views per video?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"Average views a trending video have based on a category.\")\n",
    "plt.plot(categories_overall.category, categories_overall.views_per_video, 'b-o', linewidth=2, markersize=8, markeredgewidth=4, markeredgecolor='navy');\n",
    "plt.xlabel('Category'); \n",
    "plt.ylabel('No. of Views');\n",
    "plt.xticks(rotation=45);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Even thoug the Entertainment has most number of videos even then the average views per video is much lesser then many other categories, whereas the Music category which contributes to the third most number of videos has the maximum number of average views. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Which category has a larger user reactions(LIKE and DISLIKE)?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GrZ1fK+dWadasWU+PHz/+P/rb1/IFU0dHB+PGjWt0GHXX2dnZsnm2cm7Q2vmZ26KrlfNr5dygtfNr5dygtfNr5dygtfNr5dwqzZgx42/V9jklT5IkSZKqsGCSJEmSpCosmCRJkiSpCgsmSZIkSarCgkmSJEmSqmj5VfIkSZKkZtfd3c2jjz5KV1dXo0OZR3d3N52dnY0OY6GNHDmSFVdckVVWWYURI+ZvzMiCSZIkSWqwRx99lOWWW46xY8fS1tbW6HBeM3v2bJZaaqlGh7FQenp66O7u5qmnnuLRRx9ljTXWmK/jnZInSZIkNVhXVxcrr7xyUxVLraKtrY0ll1yS1VdfnZdeemm+j7dgkiRJkpqAxVJ9ze9UvNeOG+I4JEmSJKllWDBJkiRJTair+9WWOs+iykUfJEmSpCY0qn0kY4+8tu7nmTl5u5rbPvroo3zkIx/hpptuYrvttuPWW2/l3nvv5ZBDDuG3v/1tHaNsHAsmSZIkSfNlhRVW4K677mp0GMPCKXmSJEmS5stjjz1GRLxh1bkXX3yRnXfema997Wv09PTQ1dXFiSeeyIc+9CE23XRTvvGNb/Dyyy8D8Pjjj/PpT3+aDTbYgC233JJvfvOb9PT0NCKdAVkwSZLUCN31uTnluHHj6tJvveKV1Dpmz57NfvvtxzrrrMMJJ5xAW1sb3/jGN3j44Ye5+uqrufrqq7nvvvuYOnUqAGeccQZrr702v/vd77jkkku49tpruf322xucxRs5JU+SpEZoHwWTVmh0FLWb9FyjI5DUxObOnctBBx3EiBEjOPHEE2lra6Onp4dp06bxox/9iJVWWgmAgw8+mMMOO4xDDjmE5ZZbjt///vfccMMNbLLJJtx0000LvPR3PTVfRJIkSZIWKc8//zxz587l3nvvZebMmQA8++yzdHV1seeee7LBBhuwwQYbsP/++/P8888zZ84cDj/8cDbeeGNOP/10PvCBD3DAAQfw9NNPNzaRflgwSZIkSVooyy+/PN///veZMGECxxxzDD09Pay44oq0t7dz5ZVXcuedd3LnnXdyyy23cM0119DR0UFmsu+++/KLX/yC66+/npdeeokzzzyz0am8gQWTJEmSpIUyYsQIRowYwZe+9CUefvhhLr/8ckaOHMn222/PaaedxvPPP8+sWbM49thjOfLIIwGYMmUKp512GnPmzGHllVdm5MiRr03dayZewyRJkiQ1oa7uV+frHkkLc55R7SOHpK8VVliBI488kuOOO44tttiCr371q5x22mlst912dHV1MX78eM444wwAJk2axDHHHMOmm24KwBZbbMF+++03JHEMJQsmSZIkqQkNVREzlOd5y1veQmYCvPZ9o402muemtRMmTGDChAmv/Txp0iQmTZr0hr5WXXVVzjvvvAWMevg4JU+SJEmSqhjWEaaI2BC4MjNX62ffVGCPik1twNLApzLzhxFxOHAS8HJFm20z85Z6xixJkiRp8TUsBVNEtAF7AacDr/TXJjMnAhMrjjke+DDwk3LTesDRmXlafaOVJEmSpMJwTck7GjiUYoRoUBExHjgE2DMzu8vN6wN31yc8SZIkSXqj4SqYzqcYIfp9je3PAE7JzL8DRMTSwNrAoRHxZER0RsTn6hOqJEmSJBXaenp6hu1kEbE58NPMXGWANpsAVwFjM/PFctuawIXAN4BfAhsB04HdM/O6gc55991393R0dAxJ/M2sq6uLUaNGNTqMumjl3KC18zO3RVcr59csuY0bNw4mrdDoMGo36Tk6OzsbGkKzPHf10sr5tXJuMDT5dXd3s9Zaaw1RREOnp6eHtra2RocxZB544AHa29vfsH3WrFkzxo8fv0F/xzTjsuJ7AZf0FksAmflXYLOKNrdExMXAjsCABVNHR0fxR6nFdXZ2tmyerZwbtHZ+5rboauX8Wjm3emv049bqz10r59fKucHQ5NfZ2clSSy01RBENndmzZzdlXAuqvb293+dqxowZVY9pxmXFtwd+XLkhIt4XEUf2aTcK6Bq2qCRJkiQtdppqhKmcercScGefXS8CX4+IB4FpwBbAbsw76iRJkiS1ju4uaB+GqYzDdZ5FVEMLpvLeS71LigOMBZ7NzMp7LZGZf4mIXSlW2bsIeBTYKzP/MIzhSpIkScOnfdTwXOs46bmFOnynnXZijz324Oc//zkf/ehH+eQnP1m17bRp07jkkkuYNm0aV199NZdffjmXXnopZ511Fg888ABnnnnmQsVSD8NaMGXmzcAqFT9P7LP/JuDNVY6dTrHQgyRJkqQmc955581X+wkTJjBhwoQ6RTN0mmpKniRJi4ue7i7aFvJT3eHU091Fm1N2JAG33XYbJ510Eo8//jjbbLMN3d3FbVP33HNPtt56a/bYYw+mT5/OWWedxb/+9S/WWGMNvvjFL7LpppvO00/laFOlv/zlL3zmM5/hiCOOYMcdd+Txxx/n+OOP56677mKFFVZgv/32Y+edd34tllNOOYUnnniCVVddlX322YcddthhSPO1YJIkqQHa2kcx9shrGx1GzWZO3q7RIUhqAk8//TQHHnggJ5xwAltvvTU//vGP31DwzJ49m6OOOorLLruMd73rXVxxxRUcc8wx3HjjjYP2P3PmTPbee28OP/xwdtxxR1599VUmTpzIZpttxplnnsnDDz/MPvvsw+qrr84HPvABjjrqKI4++mi23nprbr/9dg444AA+8pGPsOyyyw5Zzs24Sp4kSZKkJnTzzTczduxYPv7xj9Pe3s6nPvUp3va2t83TZokllmCppZbixz/+MXfddRc77LADN95446D3c3rqqafYa6+92GWXXdhpp50AuPfee3niiSf44he/yJJLLsk666zDbrvtxk9+8hMAlltuOa655hpuv/12xo8fz4wZM4a0WAILJkmSJEk1evrppxkzZsw821ZfffV5fm5vb+fCCy/k2WefZZ999mGTTTbh3HPPHbTvP/7xj4wdO5YbbriBl18u1oB7/PHHefHFF9lwww3ZYIMN2GCDDfj+97/PU089BcCUKVPo6OjgsMMOY6ONNuKb3/zma1MEh4pT8iRJkiTVZPTo0Tz22GPzbOstXnq9+OKLvPTSS3znO9/hlVde4bbbbuPAAw9kww03HLDvzTffnLPOOouddtqJKVOmcOihhzJ69GjGjBnDzTff/Fq7p59+mp6eHl5++WUeeeQRTjvtNHp6erj77rs58MADefe738122w3dNGJHmCRJkiTVZPPNN+fJJ5/ksssu45VXXuEnP/kJDz300DxtZs2axd57780tt9zCEksswejRo2lra2OFFQZeIn3JJZekvb2dSZMmce6555KZvPe972XUqFGcd955dHd38+STT7LXXntx6aWXAnDYYYe9Nj2v9zwrrrjikObsCJMkSZLUjLq7FvoeSTWfp8ZVMN/0pjcxdepUjj/+eCZPnswHP/hBxo8fP0+b0aNHc+qpp3LyySfz5JNPstJKK3Hsscey5pprctdddw16jvHjx7Pjjjvyta99jcsuu4xzzjmHE088kXPPPZeRI0fysY99jAMPPJD29nbOPPNMJk+ezMknn8wyyyzDnnvuySabbLJAD0M1FkySJElSMxqupfzn8zzjx4/nqquuesP23oUaALbZZhu22Wabftv0tqv898EHHzxPuxNPPPG1f6+xxhqcc845/cay0UYb8bOf/Wy+4p9fTsmTJEmSpCosmCRJkiSpCgsmSZIkSarCgkmSJElqAj09PY0OoaUt6ONrwSRJkiQ12MiRI4f8hqua1+zZs2lvb5/v4yyYJEmSpAZbccUVeeqpp5g7d26jQ2k5PT09zJo1i8cee4zRo0fP9/EuKy5JkiQ12CqrrMKjjz5KZjY6lHl0d3cv0KhMs2lvb2fMmDEsv/zy832sBZMkSZLUYCNGjGCNNdZodBhv0NnZybhx4xodRkM5JU+SJEmSqrBgkiRJkqQqLJgkSZIkqQoLJkmSJEmqwoJJkiRJkqqwYJIkSZKkKiyYJEmSJKkKCyZJkiRJqsKCSZIkSZKqsGCSJEmSpCosmCRJkiSpCgsmSZIkSarCgkmSJEmSqrBgkiRJkqQqLJgkSZIkqQoLJkmSJEmqwoJJkiRJkqpYYjhPFhEbAldm5mpV9l8L/Bfwau+2zFy23Lc+8D1gXeABYGJm3lH3oCVJkiQttoalYIqINmAv4HTglQGargd8KDPv7HP8KGA6cBJwHrAnMC0ixmbmy/WJWpIkSdLibrim5B0NHEpR8PQrIkYDo4H7+tm9BTA3M6dkZndmng88A2xfj2AlSZIkCYavYDqfYvTo9wO0WR94AbgmIv4ZEbdGxAfLfesA9/dpnxTT8yRJkiSpLoZlSl5mPgEQEQM1GwXcDnwFeBD4HHBdRKwDLAPM6tN+FrD0YOeeM2cOnZ2dCxD1oqWrq6tl82zl3KC18zO3RVcr59csuY0bN67RIcy3Rj9uzfLc1Usr59fKuUFr59fKudVqWBd9GEhmXgVcVbFpSkQcQDEdbxawVJ9DlgZeHKzfjo6ORfKP0vzq7Oxs2TxbOTdo7fzMbdHVyvm1cm711ujHrdWfu1bOr5Vzg9bOr5VzqzRjxoyq+5pmWfGI2CUidu2zeRTQBXQCfYengjdO05MkSZKkIdM0I0zAssDkiLiPYtnwL1CMKv0fxcp6HRFxMDCVYpW8McANDYpVkiRJ0mKgoSNMETE1IqYCZOaFwLeB64F/AxOAbTPzpcycA2wL7A48CxwMTMjMlxoSuCRJkqTFwrCOMGXmzcAqFT9P7LP/FOCUKsfeA2xcz/gkSZIkqVLTXMMkSZIkSc3GgkmSJEmSqrBgkiRJkqQqLJgkSZIkqQoLJkmSJEmqwoJJkiRJkqqwYJIkSZKkKiyYJEmSJKkKCyZJkiRJqsKCSZIkSZKqsGCSJEmSpCosmCRJkiSpCgsmSZIkSarCgkmSJEmSqlhifhpHRAfwZuBV4MnMfKUuUUmSJElSExi0YIqIJYA9gX2ADYD2cld3RNwCXAJcnJmv1i1KSZIkSWqAAafkRcTmwF3AR4HTgbWBUcAywDuB84HtgHsjYou6RipJkiRJw2ywEabdgS0z86l+9j1Ufv0wIlYHJgE3DW14kiRJktQ4AxZMmblfLZ1k5mPAvkMSkSRJkiQ1iVquYdoUmJOZv4+IrSmuZeoGLsvMq+sdoCRJkiQ1ymDXMB0KTAd+HhHHAhcDfym/pkaEo0qSJEmSWtZgI0xfADYG2oB7gU0y8w6AiJgG/BQ4t64RSpIkSVKDDHbj2hUzsxP4M8W9l2ZU7LsPGF2vwCRJkiSp0QYbYfpjRHyB4t5LbcDngO+V+44C/lTH2CRJkiSpoQYrmCZS3Jh2beBrwPIR8TdgSaAD+Fh9w5MkSZKkxhlsWfE/AxtUbouIG4E1gFsz8x91jE2SJEmSGmrQZcV7RcSqwCGZeRTzXsskSZIkSS1psEUfiIh3RcSFFNcrrVT3iCRJkiSpSQw4whQR1wNjgbOBQzPzueEISpIkSZKawWAjTM8CywGrAivWPxxJkiRJah4DFkyZ+T/AhmW7P0TEz4clKkmSJElqAoNew5SZj2XmEcDbgOvrH5IkSZIkNYdBCyaAiFgFWA/4c0RsHBEu/iBJkiSp5Q226MN/AFOAHYB/A7OApYGVyul5n8vMp2s9WURsCFyZmatV2b8v8BVgDJDAYZl5S7nvcOAk4OWKQ7bt3S9JkiRJQ22w+zB9H3gKGJOZz/ZuLEecTgEuALYf7CQR0QbsBZwOvFKlzRbAycBHgXuAPYHpEfGOzHyGYoTr6Mw8bbDzSZIkSdJQGGxK3ubAQZXFEkA5qnQw8KEaz3M0cCjFCFE1bwFOzcy7M3NuZl4EvAqsW+5fH7i7xvNJkiRJ0kJr6+npqbozIh4CPpmZd/azb2PggsyMwU4SEasCTwKbAT/NzFVqOGYT4CZgNYqpgM8D1wHvB/5FUVydP1g/d999d09HR8dgzRZ5XV1djBo1qtFh1EUr5watnZ+5LbpaOb9myW3cuHGMPfLaRodRs5mTt6Ozs7OhMTTLc1cvrZxfK+cGrZ1fK+dWadasWTPGjx+/QX/7BpuS9zXglxFxJXA/ReGyFBDAzsC+tQSQmU8ARGcX44wAACAASURBVAxaW1G2eydwBXBsZj4dEWsCt1JcT7UzsBHFdL0nMvO6gfrq6Ohg3LhxNZ13UdbZ2dmyebZybtDa+ZnboquV82vl3Oqt0Y9bqz93rZxfK+cGrZ1fK+dWacaMGVX3DVgwZeaPIuJPwP8AGwPLUBRNncDmmfnHIYwTgIjYCrgc+FZmTi7j+CvF6FSvWyLiYmBHilEnSZIkSRpyg40wkZn3UCzCUHcRsRfwbWC/zPxRxfb3AVv1FlClURTFmyRJkiTVxaAF03CJiI8AZ1MURn2XCn8R+HpEPAhMA7YAdmPeUSdJkiRJGlKD3YfpgME6yMyzF/TkETG17GMicASwJHBdn2uddsnM6yNiV4pV9i4CHgX2ysw/LOi5JUmSJGkwg40wbUlx09rb6P/+ST0Uo0I1ycybgVUqfp5Y8e+tBjl2OjC91nNJkiRJ0sIarGDaGbgG+GNmHj0M8UiSJElS0xjwxrWZ2QPsD3w+IkYPT0iSJEmS1BwGLJgAMvMRYFXgn/UPR5IkSZKax6AFU2+7crRpHhHx1iGOR5IkSZKaRq0F0x8i4r2VGyJib+DeoQ9JkiRJkppDrfdh+hHwm4g4rvz3ucB7gM/WKS5JkiRJariaRpgy80RgU+AQ4K8UN5Idl5lX1jE2SZIkSWqomgqmiPgP4ChgKeASYCvgsxHRVsfYJEmSJKmhar2G6c8UxdK7MvNzwLbAgRQ3tJUkSZKkllRrwfTlzNwhM58CyMzbgfWB39YtMkmSJElqsAELpojYBiAzL+i7LzNnZ+YXKtp+bOjDkyRJkqTGGWyVvI9HxGHA94BrM7OrcmdELAVsDxwA/An4eV2ilCRJkqQGGLBgysyDIuKDwLHADyLiT8ATFCNTqwLvBG4CjszMO+odrCRJkiQNp0Hvw1Rer7RtRKwGfBh4C9ADPALclJlP1zdESZIkSWqMWm9cS2Y+DlxWx1gkSZIkqanUukqeJEmSJC12LJgkSZIkqQoLJkmSJEmqouZrmMpFH95OnyIrM3891EFJkiRJUjOoqWCKiMOBU4AXge6KXT3A6DrEJUmSJEkNV+sI08HALpl5ZT2DkSRJkqRmUus1TMsAV9czEEmSJElqNrUWTBcCR0TEyDrGIkmSJElNpdYpeVsC7waOi4h/V+7ITK9hkiRJktSSai2YDqlrFJIkSZLUhGqakpeZ/w+4A+gA3gEsC/yu3C5JkiRJLanWZcXXBq6jKJj+DqwB9ETElpn55zrGJ0mSJEkNU+uiD2cCFwFvzcwPAm8BzgW+U6/AJEmSJKnRai2Y3g+cnJk9AOX3k8vtkiRJktSSai2Y/g1En20B/HNow5EkSZKk5lHrKnlnAtdFxBnA34CxwBeAb9UpLkmSJElquJoKpsz8dkTMBvYARgOPAEdl5qX1DE6SJEmSGqnWESYy8xzgnIU5WURsCFyZmatV2b87cBJFUXYzsHdmPlXuWx/4HrAu8AAwMTPvWJh4JEmSJGkgAxZMEfFwZr49Iv4J9PTXJjNHD3aSiGgD9gJOB16p0uY9wFRgK+Ae4CzgbGDniBgFTKcops4D9gSmRcTYzHx5sPNLkiRJ0oIYbITp0+X3XRbyPEcDu1IUPEdUafMp4KrM/C1ARBwBPBURo4HxwNzMnFK2PT8ivghsD1yxkLFJkiRJUr8GLJgy8zflPz+emYf33R8RU4H/V8N5zqdYhnyzAdqsA9xece5nIuLf5fZ1gPv7hkcxPc+CSZIkSVJdVC2YImJ1YIfyx4Mi4q99miwP7A5MHOwkmflE2edAzZYBZvXZNgtYepB9A5ozZw6dnZ2DNVvkdXV1tWyerZwbtHZ+5rboauX8miW3cePGNTqE+dbox61Znrt6aeX8Wjk3aO38Wjm3Wg00wvQksAWwCtAO/Hef/XOAg4cwllnAUn22LQ28OMi+AXV0dCySf5TmV2dnZ8vm2cq5QWvnZ26LrlbOr5Vzq7dGP26t/ty1cn6tnBu0dn6tnFulGTNmVN1XtWDKzFcpi6SIOCMzvzj0oc2jk4qb40bEKsCbyu3LAQf1aR/AD+sckyRJkqTFWK3Lip8QEZcAJ2VmZ0QcC/wncFBmPj9EsfwI+H8RcT5wJ3AKcF15LdONQEdEHEyxkt6ewBjghiE6tyRJkiS9wYga251Xfn+q/P6D8vuUftrWLCKmlgtHkJl3A/tSLBDxD2A1iqXIycw5wLYU10w9SzEVcEJmvrQw55ckSZKkgdQ6wrQ5MCYzuwEyc2ZEfB54dH5Olpk3U1wT1fvzxD77fwz8uMqx9wAbz8/5JEmSJGlh1DrCNAt4W59tqwEvDG04kiRJktQ8ah1hOge4LiLOpBhVWp1iWtzUegUmSZIkSY1W86IPFNcV7Uax2MJjwOTMvKBegUmSJElSo9VUMGVmD8Vo0jwjShExIjPn1iMwSZIkSWq0mgqmiFgb+CrFVLze657agbWAN9cnNEmSJElqrFoXfTgfWAH4G9AD3AS8HfhuneKSJEmSpIartWBan+IeSN8CyMwTgJ2BHeoUlyRJkiQ1XK0F0zNAF/AQsC5AZt4BvKNOcUkaTt1ddel23Lhxdem3XvFKkiT1VesqeXcBJwPHAY9HxCco7s30Ur0CkzSM2kfBpBUaHUXtJj3X6AgkSdJiotaC6VDgPGBl4AjgCmAUMLFOcUmSJElSw9W6rPhMYMvyx8ciYmVgycx0hEmSJElSy6r1GiYiYrOIuCQibgRWAr4SESPrF5okSZIkNVZNBVNEfBa4FPgLML7c/Ang1PqEJUmSJEmNV+sI01HAtpl5PDA3M/8BfIxiqXFJkiRJakm1FkwrA/eX/+4pvz8JtA95RJIkSZLUJGotmG6lWFK80heAO4Y2HEmSJElqHrUuK34QMD0i9geWj4iZFPdh2q5OcUmSJElSw9W6rPjfI+J9wPuBNYAngDsy85V6BidJkiRJjTRowRQRKwJvBzoz87fAb8vtYyJiSmbuVOcYJUmSJKkhBryGKSI+DjwG3Ak8EBFrldv/B+gE/rPuEUqSJElSgwy26MNJFIs9rARcBnw9Io4BLgC+zev3ZJIkSZKkljPYlLy3A9/KzFfLQukp4Glg48ycUffoJEmSJKmBBhthmpuZrwJk5myK+y7tYLEkSZIkaXEwWMHU1ufnOZl5b72CkSRJkqRmUssqeUtRFE5twNyKnwHIzFn1C0+SJEmSGmewgmlZ4MWKn9sqfm4DeoCRdYhLkiRJkhpusIJpzWGJQpIkSZKa0IAFU2b+bbgCkSRJkqRmM9iiD5IkSZK02LJgkiRJkqQqLJgkSZIkqYpBlxUHiIglgU9l5gUR8Z/AmcAzwGGZ+c96BihJkiRJjVLrCNN3gYPKf58LvAC8Wv5bkiRJklpSTSNMwJbAehExGvgQ8BbgWeAftRwcEesD3wPWBR4AJmbmHX3aTAX2qNjUBixNMbL1w4g4HDgJeLmizbaZeUuNOUiSJEnSfKm1YFqe4oa1OwB/yswnI2I54JXBDoyIUcB0imLnPGBPYFpEjM3M14qfzJwITKw47njgw8BPyk3rAUdn5mk1xixJkiRJC6XWgunXwGXAeODciHgrMBX4RQ3HbgHMzcwp5c/nR8QXge2BK/o7ICLGA4cA787M7nLz+sAFNcYraT70dHfRNum5RodRs57uLtraRzU6DEmStBiotWD6LPAl4A7gDOBdwMPA0TUcuw5wf59tSTE9r9+CqTzHKZn5d4CIWBpYGzg0Ii4B/gWcmpnn1xi/pAG0tY9i7JHXNjqMms2cvF2jQ5AkSYuJWgumS4D/ycwXyp/vAQ6u8dhlgFl9ts2iuD7pDSJiE+CdwMcqNo8BbgWmADsDGwHTI+KJzLxuoJPPmTOHzs7OGkNddHV1dbVsnq2cGzRHfuPGjWvo+RdEox+zZnje6qmV82uW3Px/N/+a5bmrl1bOr5Vzg9bOr5Vzq1WtBdP7gZ4FPMcsYKk+25amuCaqP3sBl2Tma/sz86/AZhVtbomIi4EdgQELpo6OjkXyj9L86uzsbNk8Wzk3aP386qXRj1mrP2+tnF8r51ZvjX7cWv25a+X8Wjk3aO38Wjm3SjNmzKi6r9aC6TrgNxExHXiSiuIpM88e5NhOXl+SvFcAP6zSfnvgE/M0jngfsFVmTq7YPIo3jlxJkiRJ0pCptWAaS3Hd0KZ9tvcAgxVMNwIdEXEwxUIRe1JMsbuhb8OIWBNYCbizz64Xga9HxIPANIqFJHZj3lEnSZIkSRpSNRVMmbnFgp4gM+dExLYUxdLJwIPAhMx8qbz3Uu+S4lAUZs9WLjde7v9LROxKsTT5RcCjwF6Z+YcFjUuSJEmSBlPrCBMRsRmwL7AaxejOgcDxmfnqYMdm5j3Axv1sn9jn55uAN1fpYzrF/ZwkSZIkaViMqKVRRHwWuBT4C8W9mKC4zujU+oQlSZIkSY1XU8EEHAVsm5nHU9yE9h8Uy37vXrfIJEmSJKnBai2YVub1m8/2rpD3JNA+5BFJkiRJUpOotWC6FTiuz7YvAHcMbTiSJEmS1DxqXfThYODqiNgfWD4iZlLcA2m7OsUlSZIkSQ1X67Lij5Q3j30/sAbwBHBHZr5Sz+AkSZIkqZFqKpjKEaWrgWuAKzOzu44xSZIkSVJTqHVK3u7ANhQ3jl0rIn5FcU+kazPzn/UKTpIkSZIaqaZFHzLz9sz8ema+H1gb+DPwHYqpeZIkSZLUkmqdkrcWsAWwObAZMBeYBtxYt8gkSZIkqcFqnZKXFKvifR/YIjP/Ur+QJEmSJKk51FowbUMxwvRfwK4R8RvgJuDmzLx/wCMlSZIkaRFV67Li/wf8H0BErADsR3Ej2zcBI+sWnSRJkiQ1UK3XML0Z2LL8+gjwCnA5cG39QpMkSZKkxqp1St4jwO3Az4FTM/NP9QtJkiRJkppDrQXTmMz8V0QsCawREW1AW2bOrWNskiRJktRQNd2HCeiOiAsoVsr7I7AW8EBERN0ikyRJkqQGq7Vg+l+gA3gH8DLwEPBT4Ow6xSVJkiRJDVdrwfRxYN/M/BvQk5mvAl8D3le3yCRJkiSpwWotmGYDK/TZtjLw3NCGI0mSJEnNo9aC6QLgmojYARgZEZsDlwE/qFdgkiRJktRota6SdyLFKNPk8pjzgIuAU+oUlyRJkiQ1XE0FU7l8+KnllyRJkiQtFgYsmCLiosz8TET8BOjpr01m7lqXyCRJkiSpwQYbYfpz+f2+egciSZIkSc1msILp0YjoyMzjhiUaSZIkSWoig62SdxzwWEScFhFrDUdAkiRJktQsBiyYMvPtwG7AqsDdEfGriNglImpdXU+SJEmSFlmD3ocpM3+ZmZ8CVgOmAUcCf4+IkyLibfUOUJIkSZIapdYb15KZz2XmdzNzA2Ar4O3AQ3WLTJIkSZIabL6m1kXESsDuwKeBNYHT6xGUJEmSJDWDQQumiBgJbAd8BtgWuA04A5iWmd31DU+SJEmSGmewG9f+L8WIUg/wA+A9mfngcAQmSZIkSY022AjTu4CDgZ8tzGhSRKwPfA9YF3gAmJiZd/TT7lrgv4BXe7dl5rLz04ckSZIkDZUBC6bM3HJhTxARo4DpwEnAecCewLSIGJuZL/dpvh7wocy8cyH6kCRJkqQhUfMqeQthC2BuZk7JzO7MPB94Bti+slFEjAZGA/ctaB+SJEmSNJSG4wa06wD399mWFFPrrqjYtj7wAnBNRLwX+Avw5cy8fT76eIM5c+bQ2dm54NEvIrq6ulo2z1bODZojv3HjxjX0/Aui0Y9ZMzxv9dTK+TVLbv6/m3/N8tzVSyvn18q5QWvn18q51Wo4CqZlgFl9ts0Clu6zbRRwO/AV4EHgc8B1EbHOfPTxBh0dHYvkH6X51dnZ2bJ5tnJu0Pr51UujH7NWf95aOb9Wzq3eGv24tfpz18r5tXJu0Nr5tXJulWbMmFF133AUTLOApfpsWxp4sXJDZl4FXFWxaUpEHEAxHa+mPiRJkiRpKA3HNUydQPTZFvSZYhcRu0TErn3ajQK6au1DkiRJkobScIww3Qh0RMTBwFSKFe7GADf0abcsMDki7qNYNvwLFKNK/we8UmMfkiRJkjRk6j7ClJlzgG0pboD7LMV9nSZk5ksRMTUippbtLgS+DVwP/BuYAGybmS8N1Ee945ckSZK0+BqOESYy8x5g4362T+zz8ynAKfPThyRJkiTVy3BcwyRJkiRJiyQLJkmSJEmqwoJJkiRJkqqwYJIkSZKkKiyYJEmSJKkKCyZJkiRJqsKCSZIkSZKqsGCSJEmSpCosmCRJkiSpCgsmSZIkSarCgkmSJEmSqrBgkiRJkqQqLJgkSZIkqQoLJkmSJEmqwoJJkiRJkqqwYNLQ6e6qS7fjxo2rS7/1ileSJEmtY4lGB6AW0j4KJq3Q6ChqN+m5RkcgSZKkJmfBpCHT091F2yJUhPR0d9HWPqrRYUiSJKmJWTBpyLS1j2Lskdc2OoyazZy8XaNDkCRJUpPzGiZJkiRJqsKCSZIkSZKqsGCSJEmSpCosmCRJkiSpCgsmSZIkSarCgkmSJEmSqrBgkiRJkqQqLJgkSZIkqQoLJkmSJEmqwoJJkiRJkqqwYJIkSZKkKiyYJEmSJKkKCyZJkiRJqmKJ4ThJRKwPfA9YF3gAmJiZd/TTbl/gK8AYIIHDMvOWct/hwEnAyxWHbNu7X5IkSZKGWt1HmCJiFDAduABYETgTmBYRS/ZptwVwMvDfZbvvANMjYuWyyXrA0Zm5bMWXxZIkSZKkuhmOKXlbAHMzc0pmdmfm+cAzwPZ92r0FODUz787MuZl5EfAqxagUwPrA3cMQryRJkiQBwzMlbx3g/j7bkqIQuuK1DZkXVzaIiE2A5YD7I2JpYG3g0Ii4BPgXRXF1fj0DlyRJkrR4G46CaRlgVp9ts4Clqx0QEe+kKKaOzcynI2JN4FZgCrAzsBHFdL0nMvO6gU4+Z84cOjs7Fyb+RUJXV1fD8xw3blxDz78gGv2Ygc/dgmr0Y9YMz1s9tXJ+zZKb/+/mX7M8d/XSyvm1cm7Q2vm1cm61Go6CaRawVJ9tSwMv9tc4IrYCLge+lZmTATLzr8BmFc1uiYiLgR2BAQumjo6ORfKP0vzq7OxcLPIcas3wmPncLZhGP2at/ry1cn6tnFu9Nfpxa/XnrpXza+XcoLXza+XcKs2YMaPqvuG4hqkTiD7bgjdO0yMi9gJ+ChyQmSdWbH9fRBzZp/kooGuIY5UkSZKk1wzHCNONQEdEHAxMBfakWDb8hspGEfER4Gxgq35Wv3sR+HpEPAhMo1hIYjfmHXWSJEmSpCFV94IpM+dExLYUxdLJwIPAhMx8KSKmlm0mAkcASwLXRcwzILVLZl4fEbtS3IfpIuBRYK/M/EO945ckSVpsdHdB+6gh77auU7rqFLPUa1huXJuZ9wAb97N9YsW/txqkj+kU93OSJElSPbSPgkkrNDqK+TPpuUZHoBY3LAWTJEmSml9Pdxdti1gB0tPdRZsjTKojCyZJkiQB0NY+irFHXtvoMObLzMnbNToEtbjhWCVPkiRJkhZJFkySJEmSVIUFkyRJkiRVYcEkSZIkSVVYMEmSJElSFRZMkiRJ86O7qy7d1u3mrnWKV1pcWDBJkiTNh55GBzCfFrV4pWbjfZgkSZLmw6J2ryLvUyQtHEeYJEmSJKkKCyZJkiRJqsKCSZIkSZKqsGCSJEmSpCosmCRJkiSpCgsmSZIkSarCgkmSJEmSqrBgkiRJkqQqLJgkSZIkqQoLJkmSJC0WXnl1bl36HTduXF36rVe8mj9LNDoASZIkaTgsMXIEY4+8ttFh1Gzm5O0aHYJwhEmSFml+WipJUn05wiRJizA/LZUkqb4cYZIkSZKkKiyYJEmSJKkKCyZJkiRJqsKCSZLUnLq76tJtvRa0AOoWsySpcSyYJElNqafRASyARTHmurDYldRCXCVPUmvr7oL2UUPebd3fuNUh5kVNW/uoRWoFQHAVwNe0j4JJKzQ6ivkz6blGRyCpSVkwSWptvnGTJEkLwYJJkiQNqZ7uLtoWscK/p7uLNkd2JfXDgklSS/ONmzT8nE4pqZVYMElqab5xkyRJC2NYCqaIWB/4HrAu8AAwMTPv6Kfd7sBJwGjgZmDvzHxqfvqQ6uGVV+eyxMj6LCpZr8UD6hmzJEnS4qLuBVNEjAKmUxRC5wF7AtMiYmxmvlzR7j3AVGAr4B7gLOBsYOda+5DqZYmRIxylkCRJWgwNx8fPWwBzM3NKZnZn5vnAM8D2fdp9CrgqM3+bmbOBI4AdImL0fPQhSZIkLXZeeXVuXfqt52006hXzUBuOKXnrAPf32ZYUU+uu6NPu9tcaZD4TEf8ut9faR1NzWpckSZLqwdkw9dPW01Pf+5JHxNeA92XmThXbfgA8nplHVmz7JXB1Zp5Zse0R4PPA/2fvvMMkqcou/ttdcpIMAhIEOXygBAmSgyTJYQHJGSQniQKCBMk556DknIMEyVkQQThIFBQEBESyy/L9cW7v1g67sAsz3dM9dZ5nn52urp651XXr3jec97zzjMzvGB4ee+yxt4BXuut6atSoUaNGjRo1atSo0XGYbu65555seG80I8P0ETB2l2PjAB+Mwnkj+zu+hBFdeI0aNWrUqFGjRo0aNWp8HZrBtXoGUJdj4ssUu2HOkzQpMHE5PrK/o0aNGjVq1KhRo0aNGjW6Dc3IMN0BjClpe6KCtwEwBXBLl/MuAu6SdDbwKHAIcFOpZRrZ31GjRo0aNWrUqFGjRo0a3YYezzDZ/hRYDlgHeAfYHljZ9oeSTpV0ajnvCWAL4GzgTWAqYJOv+x09Pf4aNWrUqFGjRo0aNWr0XfS46EONGjVq1KhRo0aNGjVqtCtqvegaNWrUqFGjRo0aNWrUGAFqh6lGjRo1atSoUaNGDUBSv1aPoUbvQ+0w1fhGqC4o9eJSo9mQNHqrx9AK1M9djRo1avQMJDVs4v5dXteoUTtMNUYdkgbYrha/9RrjtWFEShpfUv/aqOw8lE3sbEkDy+tpWjykpkDSaF2eu16BrkZFbWQMsw71qvWndrhHDpIGVH7uuO+pfkaHD9uDJU0J3CdpYtuDWz2mvobqs9fbUD80NUYJxVn6vDgjZ0m6BtiqFzkn/SRNCNwHzGn7i14yrm7F8BaVTrzO4aFsYrcCl0r6N7Bqi4fU45DU3/ag8pxdIOlSYNeyubd6XIMlfa+ieDq4rxpkleeyEUQaUI63/PsYjsM9RssG04vRZY87ArhS0jqtHld3oVxf45ndQNLSksZq9bh6ET4kaszLQPfsq73h+W8HlDXqc0n9JC0paalWj6mKWiWvxiijPPyPl38PA7+z/V9J49j+qLWjCySdA4wDbGz741aPpztR3dCBDYExbJ/e6nE1C5L6FUf4PWB8YFXb1zWOt3p83Y3K/e4HPAS8Cvwb+B7wInCw7X+2cFzTAysBxwEn2d6+vN+/L0VoK87jbMAeJCD5PnCs7edaPLbqmnE6MAHwNHBk3Z7jyyjf05/I8/UH4Arbb7Z2VN8elbVzduA64BXgedubtnhoLUPj2ai8Hg04HJjW9hrd9fslTQVMDYxv+45v+3s7DZW52R94APiE9Fud1/Z/Wzu6oPZ6a3wTrAf8w/bGtk8G9pN0PXCnpFmbPZhGPUuXupbzSJR3ivJeR8z1YpQ1DJ8nge2AAyU9KmmSFg+vR9GI3lecok2BzYBrJG3UqdnEirO0NvC47YG2tyRzfEpg77IZt2JcswGPEEPgZmAJSReW9/tUpqlc7/eB24HngJtIc/inG5nAVn0flTn0GDAWcC9we+mH2IwG9u2GjcmztrrtU4AtJV0l6fh2zsaUNXJi4ELgINuLAr8omaYNJf2kxUNsOsqzMZOkgZJ+YHsQcAAwu6Stv83vLk7A55LmAO4GjgLW7IZhdzKuAZ6xvZjtWch9WFHSfK0eWJ/ZzGp8cwzHCH0VmF7SJZLuAlYDrgY+BgY2cVzjlgXuf5JmAI6UtGJ5+x6SfdgfhtC42h7FKOsH7AX80fY8wEwkGnNr2Qw7Dl1oMhtLWgW42/a5wC6kpmn9YhBM1oGO0yrABcDikmYEsH0xcCUwKXBIM+l5hTIxGrA3cI7tPYE1gF8A35d0bhljRztNkkaTNF7l0MrAbbYPAi4C5gDOBb4j6bvNXock/aDycjngI9vr2z7e9r2SxgY2kzRtM8fV2zAcivPowJKSdpd0PwnM3E0CVD9v9vi+Lbo8g5+S7OJnklYF/gbsDuwIbFv21U5bP7+ExndSrnUZ4iRdJGkb4AvgSGCab/N9lP1ocrJO/8b2ora3lrSwpJW650raF5LGk7Q8DPmuRgfeAK6TNL+km4BLgcOA3VsdFO7YjaxG90BdeO+SxgUeJNHt/wA3257R9pnAs8Dnw/9NPYLtAZco93eASYALJZ0GLAJsDkwiaeEmjqkZ+AWwA6GLUNLViwH/A26SNGkLx9bt6JJVewzYE/gNcH0xQo8FdgLOL5nOs0kUvW3R1YCzfTWJTI4HLNtwjG1fQOq5mmrg2P6iRGI/Aj4oxz4ilMFzgA0lnVKOD+5EA6xs7qcCmyp1kxBD68NKNucF21sAxxCnt5nj2wlYq3LoE2CcLs7R+MDywNzNHFtvgoatm/hpCcacC/wZmJ0E32a0fQxwEqUurV1QshyDJU0jaZ1CwewH7Eqoo9fY/hFwKDAu8GknUpur0FD67BQkE3wBsBBwJnEejyaB4KWBmUeFvVCyVdW62nGAfwA3l/n1HFkPrlFq5PoyZiP7+A5KDexUwMTEQTqerKezkoDFlLRYYKx2mGqMEBq20PxySVeRzWNN4ORCC7pC0iIlKrMWyTQ1Y2wDbB8KnFLG9J7t9YGlSDHzAcBVwJjkoWxbUYThROj/DDxBqBRTQmgFwILEcby8k6L6laj8fsD9JU2/OfAScG1xmk4g8+9dYN92rlvrkk3bRtIhiiLgzSTCvSewjqSJUXAn5QAAIABJREFUAGyfBWxn+42eHlf5f8zK4bdJ/RJlLIOI0/RHYB5JR5fjHWeA2f4fcRZXAdaQNA7wAqFOPgc8aHvdcvrkJDPfTNxm+2BJe0qav4xpfEoxO0Cpy+lPqIN9DsWZGFTWy0fIvrErEQxaidSIXgCMJmkXYH1CZ2wLlLXkC0nfJUbnUZIWAdYljvKmJNgEyUAOoLlBz6ZDQ0UvZgY2ITbDVcB3bJ8KLEtsik+AeYD9JU00CmvYwsA2knaTdAYRkJgceB44mDAj5gU2AqZSH6bE2n6IfA9HA4vbfoXMzQ3JHr+S7f8Qp2k8EhRuGWrRhxpfieJk3AW8Rrz+mYDLyCS/iiy2axLDYXvbf2rCmBoG5Wzlb+8CDAKWtP14ifaOS+hCywATAYvY/mtPj627UaKfg8p9mINEWP4EzEKubwpgE9t/L+f3J8WqL7doyD0CSfuQe3227eOK8S5CufwesKbt1xrfVwuH2i2oZNOeJ/d8dJI12wBYgBQlnwycZfu9ZoynImhwGPAmcCNZAx4APgO2Bf5e3h8DuA3YCtjI9gs9PcZmojrPJO1OnKazbZ8laS9iGC1ORB+2B+YE5qsWl/fg2IYUsZf7dTgx/nYA5iMOwH7EgZqSZGsXsP1ST4+tt6Eyr08BJrC9nqTxHRGjycm8Pgz4KfkON2rGHtcd0LACD5eQfWNx4HXgeNvnS1oO2JoY9GOSOfo/daiATgOSRNato4DJgB+Q7MYa1bVK0vbEAdrL9osj+bunAg4ha/X5tjeWNAZhvbxp+y/lvItINm/jbruwNoEqgkCStiL7xI+IDXlyOT4vsS/HJN/d8rYfa9GQgTrDVGM4UAqXG5gFGGx7Xdt/JsbaE0QdT8ARwPxkMjdlIynO0vcJNfADYpBcBdwvaS7b79n+h+1tSFr9PGDJcm1tM+e7RD//CJxI6iKeBCYk9JA3gDMVpTJsD+4EZ2k49+lZYnwuK2k2258XB/jXhBr6u+JEtW10tGyqDewBvGp7TdurEuf4eWLoXEEU6TakCVS84hwMLnPs7jKOiYEtgG1IhPYdQmO6C/hxMQKuJVHBtnnmRgGfS5pK0iPAGWT92UzSZmRN3AM4kDhO4wLzl3WrR+lcDXpZ+XlM8tzsTp6dE4H7iXO3CKlZWQ1Yrq85S5JOV+mzU76nqcnchtTiQub1KSTjtBQJurWFswRDakLGIzSzs2yvRyhmlxN2wmokG3wVcAJRI/ufemm/t27GJsC1tg+2vRMJJjwBXKxKX7/CXBibrHNficqz/QFhP9wNTCBpXduf2b4dmFbSbZKuJg7CFuWzbcl++Sao7Cf9FGXlU23PScTETpC0XTn1MaLieCN59lrqLEFnbmQ1vgUkbQKcWygckAjblJJmlXQ2ydjMTSJVpwKf2/64pE2biUWBO20fafs825sRXvBdkmZpnFSiOW+U89tV/OFSUq/0U0IvfIhIA79PjLJBwHGdktpvLKjl5x9ImsT25cRwGQxsLelHALafJZvd+sWJasuNvlA3qipAU5AMQCMa9wShu/5YkmwfTygM7/bgmAaUbMUgpe7lZ8Rh24moiN1GaD3r2F6ZBCXWJ7UAkOL40YEez4A1G04N1z8JJXFT20cCd5DvZUPbRxBqzxrk+2kYoj3m0FfuVf9Cn76FZL2eBs4C/kvW7BfK/VqeRNQf76kx9UYUBsIrtt8pa8unxDBbQNLklQz1qyTr9F/brzQjk9sD+JQElB4AKEGm3xPq6JEks3iO7QvK3BnQCRn64aGLU/Jx9XjJKl1GMsEXa9g6v38C439VsLXCepmWBJRuJHTH54GNNLSP119J8PN2QvvsKw4qMGyZB6kdu0HS9Yp418XEkT1O0uakLvsq22e7xW0ZGqgdphpd8TJgokiyADHUTTIbc9uevTzcswAPtXBx/S9RsPk+DMlInEAyDH/tkiX7Tk7RuM0f5qhD0t6SxigRwglJNP+0EqX61OmZ8TxwdHEY9gW27oSNTsPWzd1OBByuVRq1vkqi99MAm0uaC8D2c7b/0bpRdwsedFTLGs7Gi8BKkqZrOI+2bwL+RepQoAcdEUU97TRgxnJoW0IB/KGkCYrxeDrJKK0k6QDb7xCH9nRJ1xG65Ia23+qpcTYTjYCEhlXXuo7iINreh3wfG0rakfRH+7g8x/16+vn0sNLh/yFKmlsp4hRPkIDSu8AZkuax/YntD3pyTL0JiiLX3IWBcLBSd/tKod5dAswArKcorgLMS0QyxmmXDMBwjPoBhHK2UuN9268RhsjHpPl1tQaxbTP0I4K+3Ewa8jwMlDRLxVm5i9SJvgmcJGkipfarP+kvN8Jga3n2ZiDZ5t/ZfrhQ+M4sf2sjSSuTOrFDbJ/Q6Q5qV2go/bUfYR/8hzjvHwJXFafpfOI0HUrW1l7Rf6mB2mGqAQw1BmzfSQyhdwmtZCZi+IwH3ChpHUm/JHSg05o0tkax+Vjl/0Ydz2BguRIlHGz7dUI3OIzUUjRoTs8AG7gNGjQqfPMxbX8maaximI5DONZD7hPwOwr9zPZjbkHj0p5AZVO6nPT6WoQIHSwB7G/7LkJHm4MIH4wx/N/U+yFpgkLhwql9+Rlwh6Q1SWH5Q8Axkn5Yzm/UGvy9fKano5LXAa9JWsT2HsBviWrYfGVu/odQlv5MUSW0/RRwJ1kbegWN4ttC0vcKdWSQpOmA7Yvh/QV5Dn8o6SAY4jQ9QZ7XIZt9T96rLsb8AsBrDiXyaULDe4A44KMRp/cZknXva1gH2EnSYoqAw30kyv0HModPIZS12yVdQMRVdrb9UTtkADRUzGB6SRtJ2pTMw80JXXT3yvo6K8mIPgWsIGnMdnEKRwUaqrA6G3CWpKuVpvZPkgzbo5LWUnr8HE8ozieReqYfFJtiR9tPjsSfm5RkRRbQ0J6Bz5Hs7p9JsG/n6gc60UEdESrO0mbA/2z/3BEs2hN4FLhS0kzFafoxMFMJCPca1KIPNarCAgOA6YiU4+TAlmQR2Jl0hl+XLLRvku71I7OIfNuxNaISPySFyg2KzyEky3U4oQa9QChNM5LC1S/UpYN3b4bCNR/PRelMKSRfkdDwDgRWB1YldJrPJO1LIqBrAp+1w4Y+sijZjWvIRvWM0tNHRAVvdUf0YUXgiRItbUtImpNIcN8EzGJ7dUmHkmjwvoRquRyJuN1B5vsa7uE6Cg0rGnAC8BNS9Hy7pBNJ/cuuwD22PymZ27YwKkcVJThzOKHQPEOyNlMTh/1k4jDNQAq8D2tQRzS04L5pxfPFGJmR0H4eKYe/QwzmXYmRso6ksd3GKpLfBCXzMilD61mvtL12yS6dSr63RYnBvCxR4/qT26QetMs+eRuZrzORDNOdZI25nLBFxgJGt/1DpY5pT2Ax25+0ZvQ9C6UX2X3EYRlEvpdNiJjDvIRG+wWhL/60PLcPAns7dUcj+r3VdbLxvC9A6Hjn2t65cu4ExKZ6qThwQ0QP+hIKg+JQQn1cw/Yt5fhMZB4uR+bi860b5YjRETUPNb45NCyn9CGiBPQ9spCcRaIBxwC/sr17+cwYtj9rxvg8tNj8VuBYEjVdjBgv4xOFvKWJEfcWsGDFUGkLZ6lgV2DsYqDORxzAD4EzHZWdaQgt8gVJrxPndQmHf9/WGI5jOz5R7xq3GOhzk4jTkiSzeZzt65s/0m7HUyRbdjrp04HtPYvhewAJEOxMaImfAP/u6UyihnLxR3dks/cgz90ekrC9XZmjhwO/lnRLI3PbTOegiRhMgjT7ECroRsVxXI2sPfORYNKnZN18rkXO0nWEincAqTVbEnje9jnl/SeIhHG/PugsnQfcYPtSSa8QlbgPCy3x0ZK5PZlQsla0fUkrx/tNUPbJ8UiW5CjbRyj9+BqKmk8DMxOZ7HFsX1k+Oi1hk7RVb6mvQmFhjOuhddVrE4GHIyrnvA9cSPaVC4kS2//Kc7s5yTD5K/5GY538P9IXcXpJdwHXkzrvWyV9YXuX8pH/2n6/+tnuvObeiq7Xavs+STuQIPAakt6x/Yjt55WeVJ+SNbdXos4w1QBA0jXAxyXqNrPt50rGaXlgBbLY7uXo5jd7bJsRFb6BxZh8gGwAR5Qxv9Ll/LaTllbqcS4njsJJtneXtDhRR3vN9iZKL545iRDHpbZHuKC3CyobTz9i6P3Z9j8l/YZkWZ61PWs5d0+ScVuV3Pe2XLw0rKTqRiSTC3CH7X3L8cNIhvEw4JJmOMYaVjr8QGIwXAb8hdCVpiVZlNsl/Y6oZ27U0+NqNQoN70GymW9K6s0+KkGM7wO/JHPXwDLu4X5YZUzDOGOKWM+hxDg+uhh+c5FM2OQkM7a4o3TapyBpoWKoLUvYCS+SIMQHwInlvYmJyuNURPW11wvIKH2/tgIus/1qyYbeCuxu+5Fyzlgkcj+H7dXKsQXJnj4Rydov7Q4R/ijfwRkkGHWu7bclHUscqC3K+4OA/wOuBNa1/SdFrOFYEqybkbSp+Eo6cXGW7iZ1Sp8RJcUXifM9mIiuXG578x641F6Pyt7en6w/kxAho+vI3DuQBLlPt/1o+UwjUNcrUTtMfRSKassNtt8vEZlrgANsP1QcpQEkmv8WKTRfjxhLPU6BGo4xsClDswuPEiN6HUWa8x7bR43os70dxVFo8KxvJ5m944jh8yFRI9yTREW36sTocFlQ/0ToQ4OJFPMfiFz8FkQ6XER1bWlHMa4toWH7ak0I9HPUutYmWcbbnXohCj1vWWBR2z1a/FrJinyP3IurCQXwLYZG308mWZYTbN/YqbSSQjHcgFDvniFG6JyELvJDYlhf54pggqRViFz3BcWh7LF1aETfe5lDJxAn+3RS9/cbIhBzUDs/N98Ekg4htSNXk8zKHwlT4nBFFOgEhtK7JyYiCK82w+HtDkiag9Q6nkL2jH8RGflLbf+qct7ahHa2Yll7piF1yS8TamLb9Sf8Kij1hIsSRsYZpHbtdKJK58p5DwA7VJzLRUm27R1/jYhQWb8PBT6xvV85Nht53t60vY2kpcjevXQ72STdCQ1tCP08EW0aFxhIHNY5SA+wQcDh7eC016IPfRCSfgIsW5yl75B5MAtDO8APLpS7iYBtbD8I7NYkZ6nRmXxiSeOWhelp0i/kFeB+2w2Jzu+ShrpD0E4LUzGev6ikrLclRs46JPoyCeGfHwhMT9St+qmNekmNCBq2H80apB5pBuBiIk29PHAQsBuJ4r9PRATa1ujTUNnnAaTG4AbgaEk/diRVjwOWkPRrSauTpoo/bYKz1HjmxiVO6/G2tyDZlH+RHiSLlv8/IhTYBg2o7ediFUqtwaMkYzQzmZuj2b6NzMWXSP3DMuX8mQBsX0NEWNYsr3vKWZqx8b0rBeyHN94rc2hrEnDYhMyxH5Moets+N98Ck5Bgy7K27yXr6raK+MGLZL2dhGSbLgLeaBdnCaBkC5cn9a27kX5BewArK8JMDSxHjPhBxdl+zfbmtg/qJGepsRY5wis3AxuRgNvNxHG6T9LKkuaVdBYJCg/JItm+2/Zfvs5ZKud+QdaHycvf7ufI958GbKGo791me6mytnbUOvl1qFzv+sD7jsDDriQw8RKZqw8QgY3PaBMRmjrD1Ieh9H75kHDx1yT894MdlRIk7Uyaq23WTEekRM4uKWO7kRgAawDnEwrBmyRiNhdpttdW9Dv4Urr6EKKEd7btxwsV7yyS9dudRLWnAR4fmcW8t6PLte9EskdPO72FkLQ/ySieD5znJtXLNQPlmu8lNWq3koL8fxOp2UckbUjqluYAZndU53pyPI3M0uxEwGB8EmVdxva/i0OwG0MNy1uALzo0szQ2od7db3vrLu9NVaii/Yjy3A+IsfQQkfQfXKg/3yfFzN0+ZxXltoGkdvGBQsM7CDjV9oGV8y4kRvRWts/t7nH0dnShvB4JrExoaldL+jmhcp9YMk2TkhrJ551ePL0ahYa3KjE4b7f9csmMnEMo3b8n13MwyQ6/SxRuF3R6/rQVA2NkUaETD6F0KbUy6zNUWGddEgR6iQR+1ijfyddmyjV8gYedSQ3jES5CPCXgcgWpdewI5dpRwXDYQRuRxthrKzTuOYAFic3zmu3DJI3nNmlvUDtMfQjqUoBXaHkHE0PoShI53ot0g3+bLMzLNCM6WVnwxiGKNucS5ZplSDr3tyT7sjmR6/0vsHlZ8NqqiLKy4DaoaG+R6PTCwAq275K0CDFgXyeqRsvafrNlg+4mVO5zf0KX+ZgoL94C7NdwECTtQyh4RxPHaXAnbPTFyF3ddqMvyqWkSe3blOuXNAlRserRqFvlXnyXOG8XEJrgPERp6/RCF5yRbHAv2N6r+tmeHF+zIWl54mSsXF6PSQrGtyGCDveQ9fElYnhNR2jMg4rhvS1wtXuoTkjS+cQAfImsfXcWB+BYQpP8bTlvD5J9P8Zd6js7HZVgTNXAPYQEBHetOE2/JevKEbY/auGQRxrFGH+Y7AnjkkDTXLZflLQwUQC8jGSqvyBCSP8F/lC+k7ar7R0ZVO65CJV2EiLtfy55XrYk9UynSBqf0L4/Knvw134nGra2cwci8nI7EerZmdB2HyC9hU4lqpmLddr6OCqQdAMJTECYFH8ke8tStj+WdAfpV3VOOznxtcPUR6BhayeWBF4sC+2yJI18GjHQpyDZnDeBm9wEHfzKgjc1qRtYz/aO5b21Sf3UC8BvbL9bjO0v3GbS4V0h6RRggO0tlaZ3VxPDbA3bd5QFelHgj7afaeVYuxvFWV/S9uaSlgZ+RZzH81zk6hVp9Uva2ejr6lgo/PopnALk84l88cXk2XuHzPGmqXRJmpIY/zM7vXsa3/uiJHBySnnmpgZe72QjQNJyhAY5kGR01yTUtkNIbciOwN22d+vyuQE9aZBWAiwLkozs6yRrsoXt28qzdAKh775cxjyX7Ve7eyy9GV0y12sRAYf7bT8oaS8SbPtlcZo2JJnTxZyGy70axVl6hDg/2yn02QuJ4X6q02pi3nLsesIUebvy+bbdJ0cGigDDPaRW6XvEqZmE1ICuR9a4y4GzbL9bPjPSmSWl5u0+kj16nzxjZ5Ng7jykZOBZUt6w9MhmrjoRSm/EE0g94EEKbXhXYGHb90v6BWEzLdgOWd0qaoepD0DSorbvVsQd/kQkNKcA9rR9anGaTic0sMPcRKnqijHwI9Jr5lOy0a1n+6Jyztok0vsuMShfrn62WWP9tqiOV6lj+QORyL5G0pnEKZyGbPbbAde4g3pjVO71QSR79ITtNct7yxLp5geAi93DvYaagaoBLWlc2x8qPUEmJfz33Ugh8iBJNwOPExn5Ht1EuszD5cj3/n2iDHVvOb47sBDp6fNblzqqTjYCFCrw/oRm8y6JIB9k+57y/jZEbewXLRrfhCSo8iCpLduB0KXv0FBFzbeBQ3sqy9XbUZylx4jjOA0RdXiLULh3IxmH/W1fIml893B9YHdAoYo+SZz1zSrHryEG+jjEcTqOZOvvJHv7iS0YbtNRgsBnAG/b3rMcm5mwZz6xvUHZcyYl9NlRshnKc3cUEYPYrRz7ISkb+L3tQ0qWfjRCMxupzFWnYHjXKmkLoh66QAm4HUIc12dIHdOWbgORh67oU4VofRGF2vVHRWluE+Bh2yJKSltI2t5pHrYZ2VB20rAF+T05toYBPRFZ3PYgke3fk+7jq8CQYuZriZHw98bn28xZGq1ipPYji+stwLNK/4G5SAr7atL3ZQfCU297NOZT5X4dTTb1qSUtX6J4t5Co03LA6iVK1dYojtAASTcC90j6NdnAHyCUqbvKOTuQzfy4JjhLDYGHCSWNafsmQjl7FFi/RKmxfTgx0gYQ+eXGNXWkswRDiuj3Jt/HWsD6DWepYAmS3WkKJM3dZXzvkTV6RkLNugA4S9JStv9IpKI36YvOUllTIfvaS46E9nyEejcW6U10MFl3fqnUTfR6Z6lgCUJdfl2RCUfSquR+306CTBsAGzuKbwsS5by+hMkotkEJ6jxHMkpzSprQEYLYuqx9/b7qF0kaW9KqkrZWGtFuTkoDftQ4x6GO7wLsKmla26/bfrX8/v59yFlqBPz6S9pQaWWA7TNIm4WDi523F2E2bUBqmtrOWYI6w9QnoPQxOoUYQPvYvrkc34koyZxp+yRJS5AIyd+aOLZJSYR7YUJFe7lkm35JMmEX2b62y2faKsrdhSpyEql9uJYs6P8haf5TbN+k1B+MT4qS20I55qvQ5dp3JlTPWwm3/gxSkHw6oX8OlvRTQhd9uVVj/rbQsPUTlxPa3d0kKHEHmQMzkQzjjaTWYDH3cK2ghnLx5yD1G/8mNJ+DiLDIHkSt6AyXHiSVoEZbZXNHFcO7PqU3Sz/gnyT7PhehuvW4MVSyBysRgQnbPqkcn4gEVn5H5tTBpHZqNdt39PS4ehvK9/Ex8FmZ22cTcZwTKudswFD63buSprD9rxYNeZRRmCHrEdrXU4T6dTSwYWUvPxUY0/Ymlc91JA2vsqeM4SKuIukkkhFfwKX1hkI3vhJYx4XW/XXrmEJ9vIdQ7eYgz999pL57eVLX2RDFmobUSa1Rghl9Ckpbl08cQYdFiLjGi0S5eDfiZC5MWEFvdsJ8rDNMHYpqFMX2WcRYmwP4SeX4sYSHu5ukLW3f2QxnqUuE533iNEwGbC5pHNt/AY4kSjbbKgWtQ9BOzhKAhzZmfZg4CNeSKOjb5fWHwMaSTiAR7os7xFkareIs/YXQ8A4jReqzEMnXDwi/fJVi0N/R5s5S45r7KcpzfyUF+qcA+5FNfTtCv1yAbOhz97SzBENkwGchMrsXkN5Ki5J+Ik+X/ycHdi/n0RecJRg2W13u3fzEIbmTOLXTAz/2UFn4nkbD4P8BsKqkh0tWYXAZz7GEinU0caD+Ptzf0sEoTsKFxOlvNAf9FFhHEexo4EYiqjN5ed024jnl2RtEnterSZ++8wml6ebKqZPSZQ60u3E6PJQ94nNJs5Ls6gWSfkyCby8C10iavsJa+ZiRZKUoglMPAvfaHkgylMeVrN15JNC3kKR9lZrO/QgL5P0eudhejOIsTWF7bYCSiV+ENJuflfTsW4lI+a9ezmn7+Vg7TB2IKv2rvB7L9u+I0/TrknECoETiDiWqWM0YW7XP0kzAxE7jt6OJHOo2Sr3HUyS6czcpPm93LAP8z/YGtk+1fUtZoOcmdKh/Ec79wu5hKelmwUNFRpYH7rM9H6GRfEEyiCJO0+hEaKStKYgN46Y4iA8Sx3gfYK3y3g3kWZuXyMW/Zvts2883aXwNGfezC+XucoaqFB5MVAuPIipszzU+10nOkqQxJf2oUBKHS81xeqM9SNS1diCiD0s4hdyjNWPjd/o+LU0itAcS+u6axMkdTCLg85WgyyHNmkO9BSUDNwd5ju4DdigR/zNI/dkJSo9BCL1yNFLL1FbzuRKwGESo6ucTw33ehlOoiMfMTOZJx6LYDoOV5toPEZGcmUjw4PvA8SRr/hgJRM0I/KxBkxuJPzEQeM72tgCOGMjqkm4jDsDSJNv8CyJT3s/2Qu7AfnRfhYqztEDl2EQAth+yPT8RMnqSKOOtJmmcr6NCtgNqSl6HoQsF6nKyuc5CaDe3ACuSNPJmbnKPjgolaHZCcfmCGMtP2N6kUASXYaik8QddP9vM8X4bdE0/K5LFB9ueq/E+cZCuAPawfbsqPSTaGZK2BS4rafjfk/4Xh9jeu7w/O4lEfUwi6U8DE7pD+lZIOoaoNO1HqLD/JYbOLWXzHkgcxQ3dg1LxSrH4ssSYeMIRB2hQAq8j9Q9XAZ8QR+4pQu36V/l8Wz1zXwdFUvhesiZ+Bqzl4Sgwjui6W/F9SFoBOJO0eHiOGHVbEmWuSxsR3r6EYrBNanvh8np0Mne3LnN8LSLusAihwP4EWNltLCRTocaORq5tVZK9npHs7/O4DVtsjCoUtbo1gc9tH1mOnUYyscfYvq5kxz8B/l7sjZESYJC0C6FtriJpKaJEuR1Zw18n7IBniaM2P6GRn1g+21Fr5Ygg6TJgWts/qRybgewn2zm1lNXzFyc9zl5r5jh7Cn3GK+4rqNC/7gEGEbnmEwnnfZWSadocOFvSek0e2+CSyr6a1K0MJAXW80m6vlAE7yAL4kpdP9vMsX5bVGhZ2yl9bB4Gplf6C2H782KsvUSoNZD71dYoi+ccxVkancy1h4EVFbUhHNnwAwhFZkuy+bWtsyRpFRWRCkmHkc37nLJJbEmKzjcDli6GzxWE996TztIEJPK+BYmMNgzrM0n263jgX7aPJhS9x0jUdIgUcbs9cyOBfYG/lqBFf5L5RNKkirQ9MOLrbsX3UbKSm5N79CPbZ5JalhWJQ96nUIzjeRvOUsFMJPjSoEZdRvaQLUj2YaF2cJYkjV4yn1+yy4aTabqS7JFVZ6kp2c8WY12S8Z2hccBRrXyeUInXJHT3lxuZn5FxlgruJmJTjwHHAHMSifBtbR9EanOeI3PqQWA5SbuVMXTaWvklKEq2AwmtvnFsetJj6aquzhKA7T92irMEtcPUMVAUXf6vvJyBNGZby1GLmZnUkNwjaR7b5xCZ1R7fRBT1lAEVesR3yYJ2hqMq8wCJgv9A0vpEGvUMItnZ7vgh6T+wIxGwWI+oEB4jaZGSUfspuTdtRRUZHsrm9JLTV+pk4FKyxixGnIYrKqn7vxCVof3dRBn77kYJOszhUnxM6vHmBlaSNJnt14GtGUpD/Gk578MeHNN4xEl92PYKtpcr92ShMrbJgYkILx8ipf06kdD+XE1SyWwBxiaRZ4jR+VExTjcGNioZqF6H4jStB1wlaUnb/7B9o223emzNhKTJyNy9W9KS5dg0RDzlUtuPwhBK5ae2L7d9z/CyiL0NJcDxB8ICOVpRautXeb9/F6fpQrKe/LjiLLV9wK0rGmtR47sojssxpOZ3tsZ5trckdLklqvvJqDgyZf7MT1gf2wEb2b69csqkwBiOuuLZhHL2k8ae1ulwlGwPAQ6UtEzXKfjsAAAgAElEQVTJ5N1NRMP2bZwnaadmB+ObhZqS1wFQers8SGRFryuO0x+JcbYzKV6ck/Dx1yPc9x6/8cUAOR34DnHi9icyxYfYnq6cMyahyFwN3NlIs5f32irNPTxKXTFSjyFUoNMJVesUUrM0FrCzO0AGeDgUxPmIas4DZPOB1Mi8DKxr+99NH2QPQEMbQv8a+Nj2EZK2JwIXvweusP2W0qfjMOBXPR1xk3QUMJntDSvH1iGb/Dsk2zwHob/eQaihs7vDmy0qQg7XkbVxIPAqodiINLm8h8zRE3pjxlMRfTgOmMVFCayvoRhpuxEq9z2kRvA0278t77edQElxBi4n1N2zSOPZFW3fU4zxMV0RAer6jHYiDa96H4s9sz6pQ9vXadJ7KrFlFizBt8bnum39kjSpS/NfpU5sDko2rxybEhjkSoPgToWGVX49hNQFfgc4yalBb5y3NalHX6QRwOgk1BmmDoCjbHciSUlPQozSG4iyzoK2Zy+LyJTAA010lh4jm8DhRPXuMdsXAp9JuqSM/dOyAPWjRH8r0aS2MtwakT5Je1eO3UcigYuRTJNJ0f8KhFffCc7SEDU8SetLWsT2w0TIYWFSMwPZcH5M1I3aeu1pjL84S6OTjM0SkrZyhFSuID0nVlNkjF8nPXKaQU/4PikMb4x1PrKJLU56iaxEGgiuD1xEqF6N+oe2euZGFuXaHiTO0W0ku74zcR4vAsYlamtjEWn1XgfbVwOz9VVnCcD2s0QVcBCh9T5QcZZGa8be1gMYjWSgb3PUxo4CBhea755E0GLIetn1Ge1AZ2kM4AxJ3y/MlPsIzXkN4ElJU9reigSk7lZU8oAhtP9vvbdIWhB4RdL9kv5A1o0h1Mfyt97oC84SDCkxaOx5ewGnEeXJuzW0N9i2RDxowU50lqDOMLU9NLQYdD7imGxn+ylJa5C+KneT7NN0wF7A4tWITA+NqT8xRN5zUZzp8r6IMtxdxEiZrfybox1pBar0/lCKUp8Hfmd7o8o5S5A6hN8Dx9r+SztGQ7tCQ4U8+gOPE0NmZsLzPoAUJV9N5uGOJJs4jXu4QWtPopJV6kc20hfI5rE7aTJ5le1TJe1IapiOJPS3L3r6fhfn7SGSJTmnHJsLGNxwzpWi+ddsb1f5XMdFqbuislauASxVjC5KkOkskvn8qHpuC4db4yug1IXuTYK+l9u+vhxvy/sm6WBSz3sHqVG7hWSD5wbeI5n6u4FbbfcYnbc3oGSUDiYKa38DnnT6RA5gqMT/YrbfkHQxMIntpUf4C7/ZGMYla/kPSAD62uI0dCT1cUTo+jxVM3gl07Q6UQ2ci9SILuU2qBf8pmjrKG+NoSgR/Q8I7Q3blwO/ITUVWxHp4J/2tLNUMDZJ154CQ4y4KuYgtJh/AROTBWkON6/HSXfjT8Cxkja2/SIwOykI/X3jBNt3Eo766IRr3fY1SzAkotePbPBP2p6bUM/WIwvo34ii0yrA4SWj2M7OUr/KPL2LbOA3EhGHQ0nfntWUvmbHkezanbYHN+l+f0Hqkar91h6vOEv9SUT70cb1lHM62lmCYZ63iYA1JU2p1HsdQdasj4dzbo0WQiOWfn+BBAgHk75La5TjbXXfKs/f3sRAf5m00XiABGL+Tij1UxBWwkctGWgTYfsZIpH+HOnjM1Y5/rntZYFXgDskTe2oRC7bA2P40Pb1to+xfVVxlgb0FWepkk36omqTVTN4JdN0GQkE7wss2cnOEtQZpraEpD1I9GUf0gtgUDk+N/Bb4Jeu9PKppJCb8rCXeo07iWzvk8PhXO9NVIzm9rB1L20V5a5GmyT9ltAn1rF9iaQfkWjhH4hS4arAUsAWhZ7VtpA0KTB64zqUvhi/t71YeX0EqVmbl2TUjiENege0ubNUja6dT4y1E4CNSCbtAtsXStqd1Mic2sjyNHmcixPJ8B1dZG8r751PoqYLt9OzNiroUv/QyCpVj41GapkWJVnRfiTz3tE1XO0ESTMDbzu9cL7qPJGWGe+T+f7BV53fG9FlXTkA+K/tI8rrxYCtbK9TOb8ts2hfh677f6Ha7Q78HwlI/a3y3p9Iz6S1y+v6ue0mSDqOBJDes737CM6pztntgdtt/7WJw2wJaoepzSBpKmKYr0y49neRnkUvFL7vtcDVto8p5zd9cVXko58ATnYaZA6JbDsFm6sCmwKrtusi14WK9icSsV+COAq/sH2G0o38FtJIcQJg9U6IwBSu8vdIM7+ZSV3WnYQ+cjzp07CEIgH8c9LEbke3sRpeAyUifBSJ+O5p+9XyTG5L6rPOt32RooB4pe2/f8Wv68lxbk3qGs8kc/NzYEmSaZ7PHdqzRUP70E1IGBTjewQqaaVO4R1ieI10v5YaPQulKe2UZC39Wdc1czg0oR8AH7R7IApA0inAdLYbkvfnA/1tr9/akfUsKvvpj4iy7FSEqfAfQlWcAdimapTXTlL3ozhLixKBqv1Iv84bynsT2X63cm7H7R9fh5qS12aw/U/bO5DeE1eR2qQ/layNyGKzTon6t4SiYPs9Qg3cS1HnolCSGtLLawNvtvNiVxn7EcALtjcnDsPawKmSNiuLu4BNiJHa9s5SwXtEMv1B0uj0VWABorY2G1Ffgwh+XAT8pt2dpSpFgVAuBwKLKcqI/yTUu0eA7SStafvYVjlLZZynkIzm1KQfzWIUwRF3aM+WYkB9rjRGvpHUzt0q6aDqORUa1P22n/Wo92up0UOQtDaZswuSe7h9OT5AaeI7pCdR4zO2/9ZOzlJj7COgG55A+hI+I+keEuDY5CvO7wiUZ/AHJAD8FxKAe8n2I6S+8GngRElzdPlMbcN2E8p3OQ2hzp8CnEvpbaY0Yx9YPb/T9o+RwWitHkCNUUeFS3tYeb0OqVm4nBR8T0giMq+2bJDpwfN94BSlmeltRAVvV7IJ/Bjaj14g6UBSZNxQtxuP8MwB/mP70kJZO0MSts8iaoFtj+Ic/M/2BZIGkoa7/1L6Db2lSOB+B1i9/Lw2sGg7GTNdIWl2209WnXvbS0m6gjgiL0h6xPY/JZ0BfEocyZbD9p2S7qZC24Vh1o+OQjGgvkfodr8ltSBTAZdLmtj2NiMK0rRz8KbDMD6Zr58r4iRzl+MbAKtKutP2R+20ZzRQiciPDnxGWmwMqkbqbf+1OPxLkSbSt7jviA0MBG7ysK1FJid1zo2+U1swtE1F/dx2E4odNljSE8DJxXldAZhM0tSEnTCvpH8Cn9i+o5XjbRVqSl6HoPDyv0eUyOYnTdda2thQkZtcjYhPDCYO3DvA+u1ICZJ0PTCB7UUrx/YgCjF72n65HJufZFYmJIo+77fjBl9Fheo0OqF9nkw2stVI5uIk4E2ScZu3vLeO7bZ1FiWdC2xIaG23Ep52lZJwPXEQdyOS+W03p9sdksar1q2ULMSOtpepHGtkQzeyfUULhlljJKE0cH2K0Jx/Qlgw9xDq7w8Jq+Jd0mT55RYNc5RRoZzNRij1A0j0/jjbzwyv1q7y2T6xpihKgTPZ/rmGKpEuQbJuyxFH8+XaSeo5SJqCiHJtT0oMLiFsptEIi+Q+Ysut5q+pL+xE1A5TG+GrsjGVBXkAKcj/ZHjntQKltmpsElV7t2wMbbUJlGjnZLYX6nJ8VpJNuxm4zPZDpcZnNmA/2281f7Q9g0IJORqYyvbPy7EtSD3dX2z/qkRHnyW1I23dnFbSNqT582ekT8+PiEP4pNNfC0kXkKbQGxf6SI0modQp3Uyizi8CYwJLk0LxBcl9G6P8fxN5Ps9qzWhrfB00rDDHKsCppDXGxKQG7zjSruIj4LB2cpgAlJYT9xMH4EVCk92CtFl4vS/V5Axv/5e0NHlOV7Z9Y+X4XWR9fam87jPfU6sgaS/SMHn/Eoyfj9Tp7kgatHe0tP2IUFPyejEk7UskNf9i++KvylI0FpCyCPUqR8T2f0jxJjBkY+xVY/wqSLoSmNz2gpVj0xKZ9nMlbUVkUH8m6T9EhWy5TnKWCtYnC+avGwcccYsvgIGSHiaSzfO2u7NU8FdSALu/7eckbUyEFAZJuhY4n/RZOoFk12o0Ebbfk3Qd8DBxluYiAhczA7vaPphQJFGaYdZGVi9GCaQ1jOG/AY/aPr/xviLScZTtJ1s2yFFAMTTHtv3fcmhFkqU+uNSL7AScDUxQrvsfrRprM1GpNZyVZPBnJI2+/0y+k0sk7VZeb0GCrUOEW2pnqXsgaayvCKyPA8wtaQxHqGtRQpd930Nr0fsc6oK5XgpJ5wBrkcXi9GqxY6G6tS3aiZ5WnKU5uzhL0wFPApMB2L6XcOw3IsoyP25nKloD+nJPrJuBM4B9SiYJANtnkszTJUT58L3mjbLnYPuPRN3wV+XQLOS+rwNMQopirySqiMNVYqvRM6gUe19I9rHBwCBHtn5dYH9JZ0vaQ1Eam5xkJ2r0YlSM4bFIAGoZGJLtXQBoiyBUoS6fBmxW6jkhPdI+KnP3MSIWtAVZO1duzUibj8KEERF2GEQomD8ngadbSVBuB0JdnBBYqBZ46F4orT+2ljT+CE55lKyrt0k6lmR6f92XnSWoHaZeiUI1mQ5Yz/YuwHmUDI3SXblaQ9Oxyjm9BGcCEys9rhrO0r3AkS69MgrGtP2Y7dtsv9aKgXYnCof8c0n9JM1Xorvvk83sbOAGDatY9AfbR9l+ulVj7k5UnMX9gAGSbgZ+Rp7Jm8gGvwywte3/tWiYfRbFgJqM3IeNgL2IWuhStq8D5iEMipmIquNcbt/G2B2H4d2HqkHsKIoeDdwo6XZSJ7i620RApqwJ7xJHaE1J4wDPk/n6HPCg7XXL6VPQWoGmHoek8SQtXzm0FnCJ7X1s/4aIQD1KhJPOJvVrA4GBHqrqWWeWug9vE6d07RE4TbcSafGHSfuaBWw/0cTx9UrUNUy9FCUqujBwMFGHuZgUv/6eyK2eAHzoNm4E2i6QtBxwAbAVcChwju0DK+9vTyIws1NqtFoy0G5CpQC5UXANMT4nIsWgTxMDdXnSULDts2kjQimCvY4Iqkxv+1P1DcWqXokudS6rk3n4c9svSjqcGAHL2r5L0rSuSLu3W91kp6JS0N+PGMrj2b5rOOf1Jyp5nwJvtYuzVJ1nkn5D6iDPL/Tl3Yi67ZIkCLotoZLO26lzswh5PApcaHv/cuxc4J+l7vVx4Bkin/4gsIftWyufbysl3d6MLuvndsS2PAS4qEEdrdfJEaN2mHopJM1CFtX1SS+fBwk9aDrSp+IBItO9IpF5rG9kD6I4TTcA59retHJ8W+AAYJlOcxwknQ6M49I0UdJ7wGVkkx9A6HlzEaPns3adgyPakCuO48+Io7ymK93mazQXFWGbCRu0T0lnAv8HLFLe+y0RfXgSuMf2ji0cco0u0LDiRHcQlcnngC1KreuQ9gWtHOc3hYaqiY7RoC8VJ2kg6Sd0DnHqVwY+IL3qNnSHKmxKGo/0p7upsGUax1cH9iX3/1bbW5XjjwA72H6gFePtZFTm5hDRjGK/7E7aMFxYcZpqJ3U4qB2mXg5JJ5NO9MdKGhtYk0T2dwE+7ZDi+rZAUfG5GFjF9r1lsTkQWMpt3pRW0phE2e7tyrHrgNNtXyfpbJJBW5XIxO9aThvT9htNH3ATIWlG4BTgbNsXt3o8fRlKX5ZrSMR6J0JnOogU019QzlmPSNvv1q6Gd6dD0k1E2GGXkm2aFZjB9g3l/bZTQqs4g7MSNsJopC/i74BtSPDzTNtnlvW2H9nDv+jErHWhet1H6gfntP1Gwxku1PZfkaDwloTmfjapE/1JpzmOrUbVWSI25DTAjY6k/XrEYTqYSqapxpdRO0y9HJLOIzSvncrr/YHvAlvVEYDmo/CwzyaqPmsCP2t3ZwlA0kHEyFyX9F+4CTiG9Fiak0hqz0fktR8inOa2dtbLs9Sf9Hy58asKWiWdRfqbzV5v5s1FFxrJzCTTOyNRLHyeZJjetL3fcD7bcYZoO6LLPewH/AHYn6ifnUJ6LI0JvFQV2GkXVAzS6UjG7ERilH6HCBusShquDiR7xzmVjFrHRfMLDe9x4AVyj0cjPaeeqJwzJwn+7kQYNGMBKxSHqu0c5t6O4iw9CrxGVPA+Af5re50iqrILKfU4y5XedjWGohZ9aDGqog0j+PnBvNTZxcDbCTip0xbYdoHTH2JzYGtSK9H2zhKA7X2IHPq/iBP4IfAEmW/zkSzaZ+TaPyRGQNtC6Z+0AqG7/opEQYcpPO/yeg9g+dpZaj5KBH6yQsV7DvgFcXInIGqFSwP7StpkOJ9t63naKag4S6cBixBltLtJTe54RMjo58B7St++tkJxlmYkDsDhtn8JrAfsTdTxDrF9LCmin4kI6DQ+21F7uaIQeBlwi9NA+hLiDO0s6UeN82w/Yfu3hLmwPtlPa4GHbkbFltyL1I2tbHspsnZOIGki2ycTJ38T6nZDI0TtMLUQJSpVXSyHOEyV4zeWfxOQaNXCbpM+FJ0K29eTQuXHWz2W7oDSowYSGf0YmLJEPU8mvPt/AqeVLMuuwKaN6Gg7olBbxyFZ2oZq1ZTl7eMLRQEYpr/Z266lw1uCUgdxNPCwosz4BMnyPk7EWI4pp87dmhHWGBGqAYgioDI6MCtRn1yOBCJWKOIc85HARbsayzsBJwGzlPVzEJmj1wALlazJL4HtSxCgIxVuCw32UNvblNe3kZ51owO7Vp2m8p28Yft9D+3DVQc5ugGNZ69iS05E2CEN5tI4RGH0WElLFof+p+6QtiA9gZqS1yJ04ZQeT9L3FwOXAl80FtSqQ9WJRaE1WoeudCVJk9t+U9JLwEvEkPlY0hLA9MShv8ttrswoaVwim/oGEQdYghjgA4CVSG3FjaR2sC2UuToNXQuUJc1GMhBrkN5LU5Ms5/62/y1pISLVXK+PvQQV0ZQqHW9josy1eLlvs5AatHcJxXmJdglEDY82pvS32YJQd/9ejk1H5uwajfWkE2l48OXrqu4xinDSBsBnpC3HUy0aZp+CpENJ9mgVkkF6kezni9r+RNKTwI627+zUedldqB2mFqI4S38q//4GnOJ0rx+rTOSGsVBP4hrdisrc6g8cTtLwD9q+WOkD9jjwou0lC9f8b4Wm1xEohdlLAquTnj1PkE7mE5PgxWtETnz3TrrudkDFWfo/UvcxPqmFOImohK4ALEsamV5ve+Wun23BsGuMAJJuIOyIXW0/KOkkItaxFjHcNiLO72W2n23ZQEcBlTk6I2n/MRPpK/SUpBNJrdKmJHu9NzAtUVJt1+zZN0YXh/lnhKr4HWAn2y+2dHAdjrLPnUnm4BOk2fqipAb5WUVafHdgftv/bNlA2wS1w9RCSPoFsKrt5crrg4hKzABgH3dIE9AavQuVzb4fkaf/AniZGDDb2j61KBw9Q3qgjE76hPyrVWPuTmhYWdWLgHttnyRpNEI5/CEx1MdyhysA9laUzMO9wLHAhMBkxEFa1fZfS8bpFOAfpJlwnzNEeys0bB+i8Yixth2hT/YHbgYWBC61/XDLBvotUahlt5N6nYWAN4HHbe8h6XhyzX8gogfbdrqYwVddWxenaVUiJHRAp34XrcLwRG4kHQcsaHteSQuTAMWKZH2dm2Q+O6IWu6dRO0xNxHDS1SsS7/5vRPVpOmIErAr8zvYpLRlojT4BSXuQZqxbl0zTBoSa1nCaxgHWAe52h/YfknQG8GfbJ5bX+xB5481aO7K+hTL/vqgYVUcCo7v0UZI0JTG8/w9Yt1BHvwNUax9q46uXoARjJrL9jqSZgNtI8f9bhIL3NnCD7V+0cJjfGKXu8woSbDmsHNuA0Eavs32apBMIBWoJ248Mz5htd5Qg09geiaanw2PK1M9t96OspQsB9xUWyXhkrp5k+9pyzxYB/g382/Y/WjjctkIt+tAklMWyYQyMrshuPkRkHvsB9wDft304caDGbtlga3QkJB0oaa7y80Yk0vQDiLiB7fOIAtmxkna0/ZHtszrVWSp4EzhA0n6SjiH1Fce2eEx9CsX4vBpYRmloCmmd8EF5f0DJ9F1D6JLjA9j+T+0s9VocAPxL0oZEeXMzEs0+l9Qq/QNYUdJEbSp+MDrJej7SOGD7d8CzREkU29sDlwNXS1qwA52lCYA/ApdJuhaiFjii84dXVlA/t90DDavuug5wF3CKpK0ciXATkRVsD7J9p+0na2dp1FA7TE1AQ/lFUn9JlxPj4DFSwHyw7U1JB/A5JG1NCs9vbN2Ia3QaJF0PLFYpqL6dUGQmV3owAGD7TEJL+7WkCdvUmAGGRD8bPw+o/Ny/cV229yZZ3ZmJatDCtv/S7LH2ZThy9Z8BxxF+PcCfgQ0lTVcxwu4B3iHGavXztdHVYlSfr4JfE8dhDdK4dS5CT1ve9nVERnou2++2Q31uF4OUUtf4FvBzRXWzgYuAd0v2E9sbk9Yg5ynNajsC5X6fSwzxQ4BpizgQksaXNG0Lh9enoIoMu9J64QKyn70E7CDpQhKEX0/SMi0catujpuQ1CcVAu48UgZ5Bil2PJX0oDiQbzMIk27RFzSmt0V2QdDUwme2FuhyfhHSgX5AUz59UeW9Ct7G8aBdRi7NJ76jHi0P4JQpYOVaLqzQZXepdjic9lbYhDWkPJD1atiPS9r8mfbMWqZ2k3gMNq/h6OAk8vAecBvyH9CY6gtRKfg7MYvvjVo13VFG5vulJjfHURNF2XSI+8mfgVNtvSfodMI7tgV3m9lSdVlRfgnA32D5F0unABbbvknQjcLXt0yvn1mtrD6AyNwcQ5dexiI15pO2ni5N+GEmObAccCexVC+N8M9QOUw+hRJ0+rXj+c5NO1wtXzvkJSZ0OLP/3I7z9d1ow5BodCElXAlPaXrBybFrCqz9P0lSELvMT4I+2j2zRULsNXQqMbwXGIKp/6wBHF9rrcJ2mGs1FF6PyQlK/+Sqhhr4FbElUtZ4g/XlW6PTi+XZECQg+TNQMHyGUyl2AWYsa17TkXq4CrGT75VaN9ZugCDzcTArlZwA+Ihn6yYD5SWb0fqL+N3+Zo/2A/g2BnU5ZZyrBqB2BPQkbZknCmnmaOJJfAKeTGsPTWjbYPoCyj91Hgkx3kLq5N4Hjbd9dzhmPiDrd6zT/rvENUFPyeg5HECMUSVOXY5NImlVSv5JGfYgUwi5j+wPb/62dpRrdheIszdnFWZqO9B6aDKBEPc8B/kKaK07UirF2F7rUCs4MvGx7cbKxbw/sUsQuGlSutqUctiskjSvpl5LGqDhLVwFT2R6HULdOJVnRHUnty9rAz4ohOlrtLLUeVcorcYQ+tL227aOIsuGTwGeSZnB6Eh0A/KSdnKVC3x0TOJQEW35uez7iIPUHjiJzc31gf2C+yhz9ojG/O8VZgmEosGcRdsLERNn3gfKziYjVHMB8XemMNb49unynGxPxhg1sn0P6C04KbC9pHoBiX55dO0vfDvVE7jm8B9wm6VWStn+bfN8rk6hTowD08/JejRrdjTOBiUt2s+Es3UvS9dVM0iBgH0IFfbf5w+weVGoFB0i6CzgBWEPSuLY/JZHQXYDtJP0G6vqXFmE6ElDaH4Y49pMWxxbb2wF3A6crfVtes/12g2LZacXz7QilBcZqlbqc/5EWBBRa2nwk8/ILIqSC7c9sf9SC4Y4SutQ4DiY0pymAW8r7DwPnE+W/q8l+fr3thxv0qD4yRz+y/RLwFHCI7SPLs3sIaZS6ke3NynNbB6a6CZUMXz9J3yXCTa+W984D3if3YBHgHEmrtW60nYXaYepmNKJutvchKk9TA0/bfgXYDdgX+K2kbSTtRCgol7VqvDU6F7ZvJDS0P0haC7gTON32QY1zJG1PGiePZ7ttHfcuWYcjiTjAeSTadjUMKdS+mtTCrC1pknojbz5s/5UY1DtLegOY2PYiMITKjO0tCQ1vkyrfvnZwew2mBvYDli573r+BeSTdQbIL89j+hMjAu3XDHDUo/ed+D1wh6V5Jk9n+D7mGtSQ9DjxTxBwGkEj+MOgr9SGVZ3F0YCVJU5TX25JnuvrcdkyGrdWoOKAPk5rPi4DfK8q3cwO/sH0Lqa27gWR6a3QDaoepm1Ei3A2qwtbE079T0gq2ryUKeN8l3eoXIrUkbdHdvEb7wfZNpAbkYlKjdGDjPUnbkij/SsUoaEsUatcgRa7/ZGAmEt28kEgYjyPpNoAS4b6ENOL9d72Rtwa2HyWU5bFIa4VGPdPHlaDTWsThr9FLULk3m5Ai88OA5Ww/CPwGWLwcm1jSViTLdEtrRjtqUGSynwA+IWsERMoeUp+0Doneb1yOHQC84cg292XcT2qWHimCD7OROpoa3QhJK5T/+5H6sBdsn+/Ig98HfA/4Q8ly7kDokcfafqF1o+4s1A5Tz+B8SY/YvtKRLT6d9CpY1vYdwD62VwDWt/3n1g61RqejOE3LAqsonb4bztKBwNK2H2vl+L4NJO0KPFdod/8jFNcViOIkJDK8NTCGpEcgTpPt91sy4BpDYPtJYClCkTyOGF2NoNOA8nND6bBGL0CVamZ7F1JkfqSklWwfD+xEMk+/J7U9y7ZD3URxlh4Dbra9qe1LgIOBBsXuJCKP/gbwtNJ3SMDq5fMdmaluPIeFpjhgeO+VQPB+pLH06UQu/n9datxqfAsoioQblJc/IvvbD7uc9hSwo6KKexCh2L/RvFF2PmqVvG5AV8UmSTMS6s97FarJ0cBWwJUklb9JoSzUqNEUSFqeSGxfQTIvP3Oby9dLmgE4mRSZ/7RkKE4jhsxKth8sG/vspHB7i1KAXqOXoBQm303u4+417a73odT8DSZqXK8Db9p+q7y3P3ne9rZ9naTJST1TP7dBawJJ45A+NVeVGpzG8W3Ida3lIsZU9vbZSKbpnhLNH60Ta5YqtTI/BHYkrVBuBP5cAr9fsn0qnx2iflnj20HSZUQQZ6HyegxCab4EuNP2+pVzlwS+X44/34rxdjJqh6mbUCJME9v+d3k9PVlc3nGREpf0S8IxPdSeRGAAAA1VSURBVKzOLNVoBSStCFwLzO2hTWzbDpLOAF63/WtJ3yNNFMcHFrf9kaQTibGzqu2Hi9M0wGmSWqOXoQiTPALsaPuEVo+nxlCU5+uV8vI+EuF+lQgbPUVoa8eV14eTnm6ftmCo3wjFCfobcIDt/cuxgfx/e/ceZHdZHnD8G4SQBIxQCKSGsGaQeQJBA7ZICGBrR25e0CG1CEgQR0pa2tI0onKb2lqsQCniZBDlUkBCSga1BmXACyASQRJtqXJ5QCHcEyEERDAkoekf73vgsM0WstnNuX0/M5nZ87uc8+4O7J7nvM+lzEuckZk3DRQAdHtgEBG7UgZGzwWWUjIV9gBmpgO+h11EXElpB/7uzFzUHKDWbJGLgDsy89hWrrNXGDBthKizFWqw9A+UXyQnZuYT9fxESqH9XZn5wXpspG/a1EoRMaYTulUNJMrsqNWZ+VREnJ6Z/1SPXQGM5ZWg6XzKru70Tk477BURMRn4ZTd+Wt/pImJ3SofNBZQ3z2OAQyhpaTtSGj30UVJg9+60up6mXc6zKSMWLgI+kpnfHWgXpRdExF8A78jM4+vjBL4N/CswsnbJ0zCIiGsp9bh3U1JBr8nMm5rOj6DUwX8ZuD8zD2/JQnuIueGDFBHjG1/XwvH7KfUTjTdvAI8B11A6yFxbj63ZpAuV+unwYOl6ShegpyJiO+C0iLg2yzypmZRUmZsjYnSWGT7n12Nqc5l5b7+mOWoTtbPhQZRi/mOztND+x8w8mlIzuCdl5+mgTguW4OUmJH8EfJLStfbIRrBEra3rBeupxeqj7NwTET8DfpaZcyi7itM28fJ6RkR8GdguM3cDTqF0pTwmIg5oXFPfdy4C/gaY0PS+U8PEHaZBiIgvAUdQPtG+LzMvqscPpBSYPw18NjMfra3Dl1G2TR9o1ZqlThdlXs/EzNy76dhOwA+BezPzffWPxqWUPO6pmfm71qxW6j4RsTdlJ+ZC4ORGgNstu4K1XucnlJ2mz9dGMj2hkV5Ya9C2ptSsjaW8z9kBWJiZs+q1i4Azs4yu0BCLiF2au9vVHdBTKWmvl2XmLU3nRgCj/Fs3/AyYBqHWR3yAMuzzLMqE66RM/X4/ZWDYfpQ/LDOBt1mAJw1eRHwLGJeZ05uOjcrMVTVouhnIGjTtREkbmm3KiDS06pu3Rl3Lp7stXa0GhT+kpDqd3G3f3/o0lRfsSZnrs4oSOJ5H6c42g5KG9616bAqlDrZr67faQfOHEf2Cpksz89aWLq4HmZI3OJ8DHgB+Rcnhnk8ZSnsdpd3jPZQ8XygD/AyWpEGKiAVAX79gqY/Svr8vMx+lzH/ZJSJurY9nGCxJQ6+mr+0PzKH8LewqmbmY8qHnbMoQ1q5Xg6UdKTVq51Lq0z6bmQlcT2mxPpvSNvyNlDq1l/q3GtfQ6tfGfwnwecru30kRsW/LFtajDJg2UN3+fAF4HHhnZj5H6RyzmDIcdA1wDmVo2Gcy865WrVXqdDU95F3AbRGxfT02Ebid0t72IYAaJB1MGVI70U8+peFTm6j8AWU2Udep39/ulF2mXjEeeBb498xcDiyPiFHAdGA58A5Kx7YPNuYs+Xt206pB03mUHcClrV1N7zElb5Ai4jDKf7h3ATtTZtosq+emAU+mE5aljVbrCq4GvkdpojIfuDAzz6znR9QC2FelMEjSxurW3ynrmR85BZhHmVW3uB4bDVwO3JKZc5uuffl3rja9Rjp6q9fRawyYBql2clpAKS4/JDOX1d2nEb2Q8yxtSjVoWkBpXzy3dmrq+jkokjTUmho8TAAmAY9l5oO1VnQb4EjKnLt1EbEQ+H5mfqmVa5ZazYBpI0TEp4CPZebu9bGfukjDpA5R/CZwA6Vd+CP+/yZJr19Tg4eplFrrl4BHKemH8ykNL9bVY1tQUhOnduMum7QhrGEahMasgsw8G/hNRJxSH/vmTRommXk/5ZPP91JmU0xq7YokqXPUNLx1ETEW+GdK0479gJuAj1KG9R4A/BtlYOpiarBkgwf1OneYBqlpwNvFwGjguMx8sYVLknpCzbW/EbiKOgumxUuSpI7QNKtuLfDxzPx1RIyjdATcB7gmMy/pd4+pz+p5BkwbqaYJrbN1uLTpRMRuwGobq0jShomIrwMHUeZEficzV9egaRZlB/+LmXm1ZQbSKwyYJEmSulBTg4ctgdGZ+Uw9fjEwlTJP6/YaNO0IvA+4zOZV0qsZMEmSJHWZRuvwiHg7ZT7kNsD9wMLMXBARVwC7Ap8C7mguK+jfdlzqdTZ9kCRJ6jI1WOoDrgO+DxwNPA58MSLemZkzgfsos5Ym9793U69XamcGTJIkSV0gIsZExNZNhyYDizLznFprfSDwdeCZiJiSmcdSBtb+ogXLlTqGAZMkSVJ3uAE4rOnxRGAPgIhYDGRm/jUwFziKcuCMWudk63BpAAZMkiRJ3eFPgGsjYn5EbAVcDSyPiN8AP8/Mj9Tr/gdYCq+aLWnrcGkABkySJEkdLCI2A8jMNZRg6GDgG5Q5kZcDPwdWR8S0iLgamEAZUIutw6XXZpc8SZKkDtXUOnwC0Ae8ANwN3EMJlE6kdMM7CfgdsAo4ITPXOJRWen0MmCRJkjpQY7hsREwFFgIPA8uBI4EtgTuBe4EPZ+YL/e41WJJeJwMmSZKkDhUR21Lahn+1/hubmc/WbnmrgSWUNL39M/O3rVup1LmsYZIkSepcbwLeANxY65Geq8dPB44ApgG/pKTqSRqEzVu9AEmSJL22iBhNaegwHliSmUuA3wJPA/tExIOZubZevg6YkplfA/603r+ZQ2mlDecOkyRJUpuLiLHA7cAxwCeBQyJifGY+RRk8ewJwQES8sd6yKyUVr7mLnsGSNAjWMEmSJLWxiBhDqUW6KTNPjIhtM3Nl845RRMylDKkdBSwDdgH2atpxkjRIBkySJEltLCKOAWZk5oeajh0OzKLMWro7M0+IiH2B3YC1wFWZudZueNLGs4ZJkiSpvY0DRgBExHuAw4C/Ai4AngDeHxFzMvNc4LbGTQZL0tAwYJIkSWpvtwBnR8RPgZHASuDAzPwBQETszHrq0g2WpKFhwCRJktTGMnNJREwDDgIWAQ9n5oNNl4yjNH6QNAwMmCRJktpcbSG+BCAitm8cj4grKA0e/qxFS5O6nk0fJEmSOkRETAe+B9wJPA+MBfbPzDXWLEnDwx0mSZKkznEncARlztJSYGFmvhQRm9tCXBoe7jBJkiR1MHeWpOFlwCRJkiRJA/g/LSglSZIkSYUBkyRJkiQNwIBJkiRJkgZgwCRJkiRJAzBgkiRJkqQBGDBJkrpKRExq9RokSd3DwbWSpLYTEYcAJwN7AiOAxcBpmbnkNe7bC7gO+P1hX6QkqSe4wyRJaisRcTxwGXAeMB54M/Bd4MaImPIat78J2GJYFyhJ6ikOrpUktY2I2Ap4AjgqM7/d79wXgCXAT4Hzgb2A7YH/BD4OPA08BIwCngf6gBeAs4AZlJ2qq4BTM3N1RGxBCcqOrvd+BTgrM0fU1zsSOAOYANwFzM7Mn0TEW4A7gW8CH6rPMQfYITNX1XvPBUZn5l8O8Y9IkrSJucMkSWon+1HSxa/vfyIzP5OZ1wAXA/cCkygB05OUdL1fA4cCKzJz68xcAfwLMBl4OzAV+EPgtPqUZwD7ArsB04HDG68VEQdTAqhZwHb1NW+IiPH1krHAUmDH+hor62sTEZsBRwDzNvqnIUlqOQMmSVI72Q5YmZlr/59rPgb8PSWw6gNWUHaBXiUiRgDHAZ/OzBWZ+WS97/h6yUeBz2XmssxcXs/RdO7yzLwlM9dm5qXAPZQdpYZ5mfliZj4PzKcESQDvAtYAP96A71uS1KZs+iBJaifLgN+LiC0yc03ziYjYFniOsmN0Nq+kyq1j/R8AjgNGAzdHRCP/fAQwMiJGUWqjHmm6/qGmr3egpN3R7/xO/dbacCVwe0SMAY4CrspMc94lqQu4wyRJaie3Aaup6W39XAJ8DfgGcGZm7pCZ7wZuHuC5VtTn2iszt8nMbShB0h611ugRYOem65uDoYeBt/R7vknA8qbHLwdEmfkL4FfAeym7UKbjSVKXcIdJktQ2MnNVRJwCfDUiXgJuoOwSzQbeQ6k1+jClqQMRMY1SZ/RgfYoXgVERMbI2dpgHfCEi/pySJvcVShrfAZROfKdGxG313BlNS7kC+E5ELKCk1s0EpgD/AbxhgOVfCZwOPJaZd2/sz0KS1B7cYZIktZXMvAD4O0pN0ZOU5grTgD+uOzmzgIsj4lngAkoQtGtEbA78NyVNb0VEvBU4CXiqHnuU0na8UWt0DvBfwH3AHZTue2vqGn5UX+dC4Jn69aGZ2ZzC19984G24uyRJXcW24pKknhQR+wD3ZebK+vhQ4JLMfPMgn29LSsrelMx8bOhWKklqJVPyJEm96jhgq4j4BCXt729ZTzvz1yMiJlPS9m41WJKk7mJKniSpV50GjAEeBx6gdL2bPcjnmkdJ9ZszNEuTJLULU/IkSZIkaQDuMEmSJEnSAAyYJEmSJGkABkySJEmSNAADJkmSJEkagAGTJEmSJA3gfwG/0hWKzedqigAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"Users reaction against a category.\")\n",
    "plt.bar(categories_overall.category, categories_overall.likes);\n",
    "plt.bar(categories_overall.category, categories_overall.dislikes, bottom=categories_overall.likes);\n",
    "plt.xticks(rotation=45);\n",
    "plt.legend(['likes', 'dislikes']);\n",
    "plt.xlabel('Category'); \n",
    "plt.ylabel('Viewers Reaction (x10^8)');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> The graph clearly shows that distinctive portion of Entertainment viewers happens to dislike the video."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>channelTitle</th>\n",
       "      <th>view_count</th>\n",
       "      <th>likes</th>\n",
       "      <th>dislikes</th>\n",
       "      <th>comment_count</th>\n",
       "      <th>comments_disabled</th>\n",
       "      <th>ratings_disabled</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10 Mint Records</td>\n",
       "      <td>1124702</td>\n",
       "      <td>103128</td>\n",
       "      <td>2244</td>\n",
       "      <td>5250</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10TV News Telugu</td>\n",
       "      <td>5900530</td>\n",
       "      <td>111287</td>\n",
       "      <td>4489</td>\n",
       "      <td>3316</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>123 GO! CHALLENGE</td>\n",
       "      <td>12541297</td>\n",
       "      <td>106935</td>\n",
       "      <td>20574</td>\n",
       "      <td>6906</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>123 GO! Hindi</td>\n",
       "      <td>29864123</td>\n",
       "      <td>233629</td>\n",
       "      <td>58304</td>\n",
       "      <td>11295</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20th Century Studios</td>\n",
       "      <td>2334320</td>\n",
       "      <td>74824</td>\n",
       "      <td>1894</td>\n",
       "      <td>6699</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           channelTitle  view_count   likes  dislikes  comment_count  \\\n",
       "0       10 Mint Records     1124702  103128      2244           5250   \n",
       "1      10TV News Telugu     5900530  111287      4489           3316   \n",
       "2     123 GO! CHALLENGE    12541297  106935     20574           6906   \n",
       "3         123 GO! Hindi    29864123  233629     58304          11295   \n",
       "4  20th Century Studios     2334320   74824      1894           6699   \n",
       "\n",
       "   comments_disabled  ratings_disabled  \n",
       "0                  0                 0  \n",
       "1                  0                 0  \n",
       "2                  0                 0  \n",
       "3                  0                 0  \n",
       "4                  0                 0  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unique_creator_df = youtube_trending_df2.groupby('channelTitle', as_index=False).sum()\n",
    "unique_creator_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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>channelTitle</th>\n",
       "      <th>view_count</th>\n",
       "      <th>likes</th>\n",
       "      <th>dislikes</th>\n",
       "      <th>comment_count</th>\n",
       "      <th>comments_disabled</th>\n",
       "      <th>ratings_disabled</th>\n",
       "      <th>videos_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10 Mint Records</td>\n",
       "      <td>1124702</td>\n",
       "      <td>103128</td>\n",
       "      <td>2244</td>\n",
       "      <td>5250</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10TV News Telugu</td>\n",
       "      <td>5900530</td>\n",
       "      <td>111287</td>\n",
       "      <td>4489</td>\n",
       "      <td>3316</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>123 GO! CHALLENGE</td>\n",
       "      <td>12541297</td>\n",
       "      <td>106935</td>\n",
       "      <td>20574</td>\n",
       "      <td>6906</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>123 GO! Hindi</td>\n",
       "      <td>29864123</td>\n",
       "      <td>233629</td>\n",
       "      <td>58304</td>\n",
       "      <td>11295</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20th Century Studios</td>\n",
       "      <td>2334320</td>\n",
       "      <td>74824</td>\n",
       "      <td>1894</td>\n",
       "      <td>6699</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           channelTitle  view_count   likes  dislikes  comment_count  \\\n",
       "0       10 Mint Records     1124702  103128      2244           5250   \n",
       "1      10TV News Telugu     5900530  111287      4489           3316   \n",
       "2     123 GO! CHALLENGE    12541297  106935     20574           6906   \n",
       "3         123 GO! Hindi    29864123  233629     58304          11295   \n",
       "4  20th Century Studios     2334320   74824      1894           6699   \n",
       "\n",
       "   comments_disabled  ratings_disabled  videos_count  \n",
       "0                  0                 0             1  \n",
       "1                  0                 0             3  \n",
       "2                  0                 0             3  \n",
       "3                  0                 0             9  \n",
       "4                  0                 0             2  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unique_creator_df['videos_count'] = youtube_trending_df2.groupby('channelTitle',  as_index=False).count().title\n",
    "unique_creator_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "### The dataframes has 973 unique creators.\n"
     ]
    }
   ],
   "source": [
    "print(\"### The dataframes has {} unique creators.\".format(unique_creator_df.shape[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Which youtube creator has a most content reaching to trending section?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "### TOP 15 YOUTUBERS WITH MOST CONTENT \n",
      " REACHING TO TRENDING SECTION- ###\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_2b4af_\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >channelTitle</th>        <th class=\"col_heading level0 col1\" >videos_count</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                                <td id=\"T_2b4af_row0_col0\" class=\"data row0 col0\" >Colors TV</td>\n",
       "                        <td id=\"T_2b4af_row0_col1\" class=\"data row0 col1\" >92</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row1_col0\" class=\"data row1 col0\" >Vijay Television</td>\n",
       "                        <td id=\"T_2b4af_row1_col1\" class=\"data row1 col1\" >91</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row2_col0\" class=\"data row2 col0\" >Tarang TV</td>\n",
       "                        <td id=\"T_2b4af_row2_col1\" class=\"data row2 col1\" >72</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row3_col0\" class=\"data row3 col0\" >Star Maa</td>\n",
       "                        <td id=\"T_2b4af_row3_col1\" class=\"data row3 col1\" >44</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row4_col0\" class=\"data row4 col0\" >Crazy XYZ</td>\n",
       "                        <td id=\"T_2b4af_row4_col1\" class=\"data row4 col1\" >41</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row5_col0\" class=\"data row5 col0\" >SAB TV</td>\n",
       "                        <td id=\"T_2b4af_row5_col1\" class=\"data row5 col1\" >36</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row6_col0\" class=\"data row6 col0\" >ARY Digital</td>\n",
       "                        <td id=\"T_2b4af_row6_col1\" class=\"data row6 col1\" >36</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row7_col0\" class=\"data row7 col0\" >Flowers Comedy</td>\n",
       "                        <td id=\"T_2b4af_row7_col1\" class=\"data row7 col1\" >33</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row8_col0\" class=\"data row8 col0\" >Taarak Mehta Ka Ooltah Chashmah</td>\n",
       "                        <td id=\"T_2b4af_row8_col1\" class=\"data row8 col1\" >27</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row9_col0\" class=\"data row9 col0\" >Sambhavna Seth Entertainment</td>\n",
       "                        <td id=\"T_2b4af_row9_col1\" class=\"data row9 col1\" >27</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row10_col0\" class=\"data row10 col0\" >Technical Guruji</td>\n",
       "                        <td id=\"T_2b4af_row10_col1\" class=\"data row10 col1\" >27</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row11_col0\" class=\"data row11 col0\" >Saregama TV Shows Tamil</td>\n",
       "                        <td id=\"T_2b4af_row11_col1\" class=\"data row11 col1\" >25</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row12_col0\" class=\"data row12 col0\" >SET India</td>\n",
       "                        <td id=\"T_2b4af_row12_col1\" class=\"data row12 col1\" >25</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row13_col0\" class=\"data row13 col0\" >ZEE5</td>\n",
       "                        <td id=\"T_2b4af_row13_col1\" class=\"data row13 col1\" >23</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row14_col0\" class=\"data row14 col0\" >England & Wales Cricket Board</td>\n",
       "                        <td id=\"T_2b4af_row14_col1\" class=\"data row14 col1\" >21</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row15_col0\" class=\"data row15 col0\" >mallemalatv</td>\n",
       "                        <td id=\"T_2b4af_row15_col1\" class=\"data row15 col1\" >19</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row16_col0\" class=\"data row16 col0\" >T-Series</td>\n",
       "                        <td id=\"T_2b4af_row16_col1\" class=\"data row16 col1\" >18</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row17_col0\" class=\"data row17 col0\" >Sun TV</td>\n",
       "                        <td id=\"T_2b4af_row17_col1\" class=\"data row17 col1\" >18</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row18_col0\" class=\"data row18 col0\" >ETV Jabardasth</td>\n",
       "                        <td id=\"T_2b4af_row18_col1\" class=\"data row18 col1\" >18</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <td id=\"T_2b4af_row19_col0\" class=\"data row19 col0\" >MR. INDIAN HACKER</td>\n",
       "                        <td id=\"T_2b4af_row19_col1\" class=\"data row19 col1\" >18</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1abd3cfc848>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unique_creater = unique_creator_df.sort_values('videos_count', ascending=False)\n",
    "print(\"### TOP 15 YOUTUBERS WITH MOST CONTENT \\n REACHING TO TRENDING SECTION- ###\")\n",
    "unique_creater[['channelTitle', 'videos_count']].head(20).style.hide_index() # Top 20 youtubers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> The above list shows the top 15 youtubers with most content reaching the trending section."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "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>channelTitle</th>\n",
       "      <th>view_count</th>\n",
       "      <th>likes</th>\n",
       "      <th>dislikes</th>\n",
       "      <th>comment_count</th>\n",
       "      <th>comments_disabled</th>\n",
       "      <th>ratings_disabled</th>\n",
       "      <th>videos_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>Colors TV</td>\n",
       "      <td>74908152</td>\n",
       "      <td>782081</td>\n",
       "      <td>59883</td>\n",
       "      <td>30444</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>877</th>\n",
       "      <td>Vijay Television</td>\n",
       "      <td>144441301</td>\n",
       "      <td>2098755</td>\n",
       "      <td>80036</td>\n",
       "      <td>101487</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>785</th>\n",
       "      <td>Tarang TV</td>\n",
       "      <td>52229708</td>\n",
       "      <td>408639</td>\n",
       "      <td>52413</td>\n",
       "      <td>17473</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>734</th>\n",
       "      <td>Star Maa</td>\n",
       "      <td>89832843</td>\n",
       "      <td>1355653</td>\n",
       "      <td>51986</td>\n",
       "      <td>316424</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>Crazy XYZ</td>\n",
       "      <td>68759673</td>\n",
       "      <td>5352814</td>\n",
       "      <td>295304</td>\n",
       "      <td>335627</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>637</th>\n",
       "      <td>SAB TV</td>\n",
       "      <td>80905943</td>\n",
       "      <td>930328</td>\n",
       "      <td>96463</td>\n",
       "      <td>36520</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>ARY Digital</td>\n",
       "      <td>74320108</td>\n",
       "      <td>600830</td>\n",
       "      <td>37256</td>\n",
       "      <td>25242</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>Flowers Comedy</td>\n",
       "      <td>45245546</td>\n",
       "      <td>1209215</td>\n",
       "      <td>64614</td>\n",
       "      <td>120412</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>777</th>\n",
       "      <td>Taarak Mehta Ka Ooltah Chashmah</td>\n",
       "      <td>132142139</td>\n",
       "      <td>2054068</td>\n",
       "      <td>155501</td>\n",
       "      <td>118818</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>659</th>\n",
       "      <td>Sambhavna Seth Entertainment</td>\n",
       "      <td>25947423</td>\n",
       "      <td>2164520</td>\n",
       "      <td>28417</td>\n",
       "      <td>168659</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        channelTitle  view_count    likes  dislikes  \\\n",
       "153                        Colors TV    74908152   782081     59883   \n",
       "877                 Vijay Television   144441301  2098755     80036   \n",
       "785                        Tarang TV    52229708   408639     52413   \n",
       "734                         Star Maa    89832843  1355653     51986   \n",
       "159                        Crazy XYZ    68759673  5352814    295304   \n",
       "637                           SAB TV    80905943   930328     96463   \n",
       "23                       ARY Digital    74320108   600830     37256   \n",
       "243                   Flowers Comedy    45245546  1209215     64614   \n",
       "777  Taarak Mehta Ka Ooltah Chashmah   132142139  2054068    155501   \n",
       "659     Sambhavna Seth Entertainment    25947423  2164520     28417   \n",
       "\n",
       "     comment_count  comments_disabled  ratings_disabled  videos_count  \n",
       "153          30444                  0                 0            92  \n",
       "877         101487                  0                 0            91  \n",
       "785          17473                  0                 0            72  \n",
       "734         316424                  0                 0            44  \n",
       "159         335627                  0                 0            41  \n",
       "637          36520                  0                 0            36  \n",
       "23           25242                  0                 0            36  \n",
       "243         120412                  0                 0            33  \n",
       "777         118818                  0                 0            27  \n",
       "659         168659                  0                 0            27  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_10_creators_df = unique_creater.iloc[0:10, :]\n",
    "top_10_creators_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Which youtube channel has most average views per video?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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>channelTitle</th>\n",
       "      <th>view_count</th>\n",
       "      <th>likes</th>\n",
       "      <th>dislikes</th>\n",
       "      <th>comment_count</th>\n",
       "      <th>comments_disabled</th>\n",
       "      <th>ratings_disabled</th>\n",
       "      <th>videos_count</th>\n",
       "      <th>views_per_video</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>Colors TV</td>\n",
       "      <td>74908152</td>\n",
       "      <td>782081</td>\n",
       "      <td>59883</td>\n",
       "      <td>30444</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>92</td>\n",
       "      <td>814219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>877</th>\n",
       "      <td>Vijay Television</td>\n",
       "      <td>144441301</td>\n",
       "      <td>2098755</td>\n",
       "      <td>80036</td>\n",
       "      <td>101487</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>91</td>\n",
       "      <td>1587267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>785</th>\n",
       "      <td>Tarang TV</td>\n",
       "      <td>52229708</td>\n",
       "      <td>408639</td>\n",
       "      <td>52413</td>\n",
       "      <td>17473</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>72</td>\n",
       "      <td>725412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>734</th>\n",
       "      <td>Star Maa</td>\n",
       "      <td>89832843</td>\n",
       "      <td>1355653</td>\n",
       "      <td>51986</td>\n",
       "      <td>316424</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>2041655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>Crazy XYZ</td>\n",
       "      <td>68759673</td>\n",
       "      <td>5352814</td>\n",
       "      <td>295304</td>\n",
       "      <td>335627</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>1677065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>637</th>\n",
       "      <td>SAB TV</td>\n",
       "      <td>80905943</td>\n",
       "      <td>930328</td>\n",
       "      <td>96463</td>\n",
       "      <td>36520</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>2247387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>ARY Digital</td>\n",
       "      <td>74320108</td>\n",
       "      <td>600830</td>\n",
       "      <td>37256</td>\n",
       "      <td>25242</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>2064447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>Flowers Comedy</td>\n",
       "      <td>45245546</td>\n",
       "      <td>1209215</td>\n",
       "      <td>64614</td>\n",
       "      <td>120412</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
       "      <td>1371077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>777</th>\n",
       "      <td>Taarak Mehta Ka Ooltah Chashmah</td>\n",
       "      <td>132142139</td>\n",
       "      <td>2054068</td>\n",
       "      <td>155501</td>\n",
       "      <td>118818</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>4894153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>659</th>\n",
       "      <td>Sambhavna Seth Entertainment</td>\n",
       "      <td>25947423</td>\n",
       "      <td>2164520</td>\n",
       "      <td>28417</td>\n",
       "      <td>168659</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>961015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        channelTitle  view_count    likes  dislikes  \\\n",
       "153                        Colors TV    74908152   782081     59883   \n",
       "877                 Vijay Television   144441301  2098755     80036   \n",
       "785                        Tarang TV    52229708   408639     52413   \n",
       "734                         Star Maa    89832843  1355653     51986   \n",
       "159                        Crazy XYZ    68759673  5352814    295304   \n",
       "637                           SAB TV    80905943   930328     96463   \n",
       "23                       ARY Digital    74320108   600830     37256   \n",
       "243                   Flowers Comedy    45245546  1209215     64614   \n",
       "777  Taarak Mehta Ka Ooltah Chashmah   132142139  2054068    155501   \n",
       "659     Sambhavna Seth Entertainment    25947423  2164520     28417   \n",
       "\n",
       "     comment_count  comments_disabled  ratings_disabled  videos_count  \\\n",
       "153          30444                  0                 0            92   \n",
       "877         101487                  0                 0            91   \n",
       "785          17473                  0                 0            72   \n",
       "734         316424                  0                 0            44   \n",
       "159         335627                  0                 0            41   \n",
       "637          36520                  0                 0            36   \n",
       "23           25242                  0                 0            36   \n",
       "243         120412                  0                 0            33   \n",
       "777         118818                  0                 0            27   \n",
       "659         168659                  0                 0            27   \n",
       "\n",
       "     views_per_video  \n",
       "153           814219  \n",
       "877          1587267  \n",
       "785           725412  \n",
       "734          2041655  \n",
       "159          1677065  \n",
       "637          2247387  \n",
       "23           2064447  \n",
       "243          1371077  \n",
       "777          4894153  \n",
       "659           961015  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_10_creators_df['views_per_video'] = (top_10_creators_df.view_count / top_10_creators_df.videos_count).astype(int)\n",
    "top_10_creators_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Wc653gOPN7FjCyJ+nU1GiXFOcqaYRqhLui0rJVxESz7aEL1SKa9j/0+hnpJnNJnzGv04YLKaqL4Gy9TvCSKH3RP0rWxFem0Oo+MKmrjL53EId/u0FiPogaooekUZAZaUikmvfAJ73lGHSY1FfoNsIN7fHRgNm3A90IHx7nupqQrJyLeHb7N8SSuQqawmLjz+HMDT+N6N9/k64Qfo/4Bgza+buqwllVPsSBqJ4hDDiJUQlYdFADGdF280jlPzNA073aBqJatxLSDirKinF3T8ltDItJ5SzzSP0hRzh7qn9GScQbuieTlk2lfBv+WMpx3ucMILlpYSWq1JCi0plZXqxLxOSnFsI5WffJ0ylEY9I+DPCjeF4wo3rj6KfZUQtV+4+idBf6WvReW8lXOuaRtusVvQaTSC0dKT3YUzdrpRQPnk2oTXvStL6QFLD+8jd/0N4Ld4jlNrNIdysn+ZhZMfKzlvrfSo5xgeEwUoGEV6rJwhf4P4PYBamuajKJMIXHvMIycXvCV82QBhF837Ce7os+nv/DDzHri2O6W4ifH6nVhLvSsLnoTvwchTvG0Qjm0bv22sJI/+WERLD71ZzrisJ76WnCa3lXyd86bExgzhT4yon9PMsi2KaQ7g2p3sG00NE/wZ9gdCXbh5hNFEjfJY6Wm07U1Z/rpcJ17AX4Ro+TUhAT43e8/Whxs9tFEtd/+0dR5Yj1YpIYSkqL9cUNSLSdFkYzXJvd5+esmw/QqvjSZne3IskwcLcf/+dL1NERKQuVFYqIk3d3sA0C1MPTCGUYP6K8A15VaN7ioiIiDQ6KisVkSYtajG8jFDy9hZhQI21wOB4XjgRERGRpkBlpSIiIiIiIqKWQxEREREREVFyKCIiIiIiImhAmnoxb9688tatazMNU+5s3ryZQomlodG1y56uXfZ07bKna5c9Xbvs6dplT9cue7p22Suka7dhw4ZVRx999J5Jx1EdJYf1oHXr1hQX1zSvbn6UlZUVTCwNja5d9nTtsqdrlz1du+zp2mVP1y57unbZ07XLXiFdu7lz5y5POoaaqKxURERERERE8tNyaGY/BK4HtqQsLgH+DYwFBgGfAte5+73RPkXADcA3ozjvB6529+3R+nOjY+4FzAC+4e4fRuuOBP4MHAosBC5z9xejdXtke04REREREZHGKl8th0cA/+PuHVJ+ZgJ3A+sJk1CfDfzGzPpF+1wBnAH0A4qB/sC3AKJt/gScC+wJrATuiNa1ASYCfwE6AbcC48ysVXTcrM4pIiIiIiLSmOUrOTwSmJe6wMw6AKOBn7v7Jnd/GfgbcHG0yfnAH9z9A3dfCdwIXBKt+wowwd1fcveNwI+AUWa2F3AqsMPd73T3re4+FlgNjKjjOUVERERERBqtnCeHZtYOOAT4jpmtNLMyM7sI6A1sdfclKZs7oRQUoA+wIG1d36j0c6d17r4aWBstT98v9bh1OaeIiIiIiEijlY8+h3sDs4A7gbOA4whln78HNqZtuwFoFz1vH/2euq4Z0LqSdan71rQu23NuquoP3Lx5M2VlZVWtzqtNmzYVTCwNja5d9nTtsqdrlz1du+zp2mVP1y57unbZ07XLnq5d7eQ8OXT3pcApKYtmmtkDwACgbdrm7Qj9ASEkZm3T1m1z901mlr4udd9s11V7zir/QDSVRWOha5c9Xbvs6dplT9cue7p22dO1y56uXfZ07bJXSNdu7ty5SYdQo3yUlR5lZj9OW9wGeAdoaWb7p25ORVlnWfR76rqyytaZWVegc7Q8fb/U4y6swzlFRERERPJm2bK13HHHHO68cz533DGHZcvWJh2SNHL5KCtdD/zczBYB4wgDxnyZ0JrYCbjRzC4m9Ps7Dxge7fcg8EMzewbYClwDPBCtexh41szGAq8QBo4pdffV0fatzewqwoim5xNKWye7+2dmNiHLc4qIiIiI5NzKleu54opJjB9fRnl5vHQ+RUUwZkwxt98+nG7dOiQZojRSOW85dPe3gXOAnwHrCFNOXOjurxJGCW0JvAf8C/ihu78U7XoHMAF4mdCyNwu4OTrmvGjfscBHQHfgwmjdZsIciucCnwBXASPd/bPouFmdU0REREQk11auXE///mMZNy41MQzKy2HcuDL69x/LypXrKz+ASB3ko+UQd59IGIQmffknhMSxsn22Az+Jfipb/wjwSBXr3gBOrGJd1ucUEREREcmlK66YxJIla6rdZsmSNVx55SQefbTSW1qRrOVrnkMREREREanGsmVrGT8+fbiLroTB/rvutHTcuDL1QZR6p+RQRERERKQATJq0MK2UtCtwGTAseqxIEMvLobR0YV7jk8ZPyaGIiIiISAFYvTp9qu5eQPPoeXPgoJ3WrlqVvr1I3Sg5FBEREREpAF26tEtbshjYHj3fDizZaW3Xrunbi9RNXgakERERERGR6g0f3puiIlJKS1cRZmY7iJAYrvrvtkVFUFLSO+8xSuOmlkMRERERkQLQs2cnxowpTlu6ijDL2qqdln7hC8X07NkpX6FJE6HkUERERESkQNx++3AOOmiParfp1WsPbrtteJ4ikqZEyaGIiIiISIHo1q0DEydeBKS3IIZS0rPOKub55y+iW7cO+Q9OGj31ORQRERERKSBz5nQAzqF//7V85SsLeeCBj5k9e0/OOac3f/+7Skkld5QcioiIiIgUkMceC4/nndeJyy//PHvttYSzzz6IWbPCYDVFRcnGJ42XykpFRERERArEhg0weXJ4PmpUeOzTZzN77w3vvQfz5ycXmzR+Sg5FRERERArE5MmwcSMceyzsu29Y1qwZDBsWnj/1VHKxSeOn5FBEREREpEDEJaWjR++8XMmh5IOSQxERERGRArB1K0ycGJ6PGbPzusGDQ1/DmTNh/fr8xyZNg5JDEREREZECMHMmrFkDffqEn1RduoRS0y1bYMaMRMKTJkDJoYiIiIhIARg/Pjyml5TG4tLS0tL8xCNNj5JDEREREZGElZdX9DdMLymNlZSEx9LSsL1IfVNyKCIiIiKSsLlzw1QV3bvDMcdUvs0xx0DnzrB0KSxalN/4pGlQcigiIiIikrDUktJmVdyhN28OQ4aE5xq1VHJByaGIiIiISMJqKimNqd+h5JKSQxERERGRBL39NixYAJ06wSmnVL/t0KHhccYM2Lgx56FJE6PkUEREREQkQXFJ6ZlnQsuW1W/brRsceWRIDGfOzH1s0rQoORQRERERSVCmJaWxuLRU/Q6lvik5FBERERFJyPvvw4svQps2FSWjNVFyKLmi5FBEREREJCGPPx4ehwyB9u0z2+eEE2C33aCsDJYvz11s0vQoORQRERERSUjqFBaZatkSTj89PFfrodQnJYciIiIiIglYuxaeeSbMazhiRO32LSkJj0oOpT4pORQRERERScCkSbBtGwwYAF271m7fuH/itGmwZUv9xyZNk5JDEREREZEEZFNSGtt/f+jbF9atg9mz6zcuabqUHIqIiIiI5NnGjVBaGp5nkxxCxail8XFE6krJoYiIiIhInk2bBp99Fia0P+CA7I6hKS2kvik5FBERERHJs7ikNNOJ7ytz8snQrh28/nqYL1GkrpQcioiIiIjk0fbtFfMb1iU5bNMGTj01PJ8ype5xiSg5FBERERHJo1mzYNUq6NULDj20bsdSaanUJyWHIiIiIiJ5lFpSWlRUt2PFyeGUKWFaDJG6UHIoIiIiIpIn5eXw2GPheV1KSmMHHxx+1qyBOXPqfjxp2pQcioiIiIjkyeuvw7JlsPfecPzx9XNMlZZKfVFyKCIiIiKSJ3Gr4ahR0Kye7sSVHEp9UXIoIiIiIpIncX/DbCe+r8zAgdCqVSgrXbWq/o4rTY+SQxERERGRPFiyBN54A3bbDQYNqr/jtm8PAwaE/oya0kLqQsmhiIiIiEgexCWlZ5wBrVvX77FLSsKjSkulLpQcioiIiIjkQS5KSmNxv8PJk2HHjvo/vjQNSg5FRERERHLsww9h1qzQNzBu5atPxcXQowd89BHMm1f/x5emQcmhiIiIiEiOTZwY+gSedhrsvnv9H7+oSKOWSt0pORQRERERybG4pLQ+Jr6vSpwclpbm7hzSuCk5FBERERHJoXXr4OmnQ+veyJG5O89pp0GLFjB7Nqxdm7vzSOOl5FBEREREJIdKS2HLFjjxRNh779ydp2PHcI7t22HatNydRxovJYciIiIiIjmUj5LSmPodSl0oORQRERERyZHNm+HJJ8PzXExhkS6132F5ee7PJ42LkkMRERERkRyZPj30OTzsMOjVK/fnO/zwULq6YgXMn5/780njouRQRERERCRHHnssPOajpBSgWTOVlkr2lByKiIiIiOTAjh0wYUJ4no+S0piSQ8mWkkMRERERkRx48UVYuRIOOACOOCJ/5x08OEybMXMmrF+fv/NKw6fkUEREREQkB1JLSouK8nfeLl3g2GPD9BnTp+fvvNLwKTkUEREREaln5eUVU1jks6Q0VlISHlVaKrWh5FBEREREpJ4tWACLFkHXrtC/f/7PryktJBtKDkVERERE6lncajhiBLRokf/zH3MMdO4MS5eGJFUkE0oORURERETqWZwc5msKi3TNm8OQIeG5SkslU0oORURERETq0TvvwKuvQvv2cPrpycWRWloqkgklhyIiIiIi9SgepXTYMGjbNrk4hg4NjzNmwMaNycUhDYeSQxERERGRepR0SWmsWzc48siQGM6cmWws0jDkrXusme0NvAlc5O5PmNkewFhgEPApcJ273xttWwTcAHwzivF+4Gp33x6tPxe4HtgLmAF8w90/jNYdCfwZOBRYCFzm7i9G67I+p4iIiIhITVavhueeC4PQDB+edDSh9fK110K/w7gPokhV8tlyeC/QJeX3u4H1wN7A2cBvzKxftO4K4AygH1AM9Ae+BRBt8yfgXGBPYCVwR7SuDTAR+AvQCbgVGGdmrepyThERERGRTEycCDt2wKmnwh57JB1NRb9DDUojmchLcmhmlwGfAe9Gv3cARgM/d/dN7v4y8Dfg4miX84E/uPsH7r4SuBG4JFr3FWCCu7/k7huBHwGjzGwv4FRgh7vf6e5b3X0ssBoYUcdzioiIiIjUKO5vmHRJaeyEE2D33aGsDJYvTzoaKXQ5Tw7NrDfwfeDylMW9ga3uviRlmRNKQQH6AAvS1vWNSj93Wufuq4G10fL0/VKPW5dzioiIiIhU67PPYPLk8HzkyGRjibVsWTFiqloPpSY5TQ7NrAXwIPAdd/8kZVV7IH3MpA1Au5T1G9LWNQNaV7Iudd+a1mV7ThERERGRak2eDJs2wXHHwb77Jh1NBZWWSqZyPSDNT4F57j4pbfkGIH1g33aE/oCVrW8HbHP3TWZW3b7Zrqv2nJX/aRU2b95MWVlZTZvlxaZNmwomloZG1y57unbZ07XLnq5d9nTtsqdrl72mcO3uu28foBP9+39EWdnqejtuXa/dQQe1AHozdep2Xn/9bVq1qnGXRqMpvO/qU66Twy8B+5jZl6Lfdwf+DvwaaGlm+7v7O9E6o6Kssyz6/aWUdWVp68IKs65A52j5bsCVaTEYoW/hwjqcs1qtW7emuLg4k01zrqysrGBiaWh07bKna5c9Xbvs6dplT9cue7p22Wvs127r1jBKKcAll+xFGA6jftT12hUXQ9++sGBBc9auLeaUU+ottIJXSO+7uXPnJh1CjXKaHLp7n9TfzWwZcGU0lcURwI1mdjGh3995QDzg74PAD83sGWArcA3wQLTuYeBZMxsLvEIYOKbU3VdH27c2s6sII5qeTxiZdLK7f2ZmE7I8p4iIiIhIlZ57DtauDYmYWc3b59uwYbBgAZSW0qSSQ6mdfE5lke5ioCXwHvAv4IfuHrfa3QFMAF4mtOzNAm4GcPd50b5jgY+A7sCF0brNQAlhmotPgKuAke7+WV3OKSIiIiJSnXji+9Gjk42jKiUl4VH9DqU6uS4r3Ym790x5/glwThXbbQd+Ev1Utv4R4JEq1r0BnFjFuqzPKSIiIiJSmR07Cm8Ki3QnnQTt2sHrr8P770P37klHJIUoyZZDEREREZEGb+5cWLEijFB6zDFJR1O5Nm3g1FPD8ylTko1FCpeSQxERERGROkgtKS0q4BmyNbrLjHIAACAASURBVKWF1ETJoYiIiIhIHcTJYaGWlMbifodTpsC2bcnGIoVJyaGIiIiISJbeeiv87LEHDBiQdDTV69ULDj4Y1qyBOXOSjkYKkZJDEREREZEsxQPRnHkmtGyZbCyZUGmpVEfJoYiIiIhIlgp9lNJ0Sg6lOkoORURERESysGIFvPRSGAl0yJCko8nMwIHQqlUoK121KulopNAoORQRERERycKECeFx6FBo3z7ZWDLVvj2ccgqUl2tKC9mVkkMRERERkSw0tJLSmEpLpSpKDkVEREREamnNGpg+HZo3D4PRNCRxcjh5MuzYkWwsUliUHIqIiIiI1NKkSWGuwAEDoEuXpKOpneJi6NEDPvoI5s1LOhopJEoORURERERqKZ74fvToZOPIRlFRRethaWmysUhhUXIoIiIiIlILGzdWJFUNMTkEKCkJj+p3KKmUHIqIiIiI1MLTT8OGDXD00bD//klHk51Bg6BFC5g9G9auTToaKRRKDkVEREREaqEhl5TGOnaEE0+E7dth2rSko5FCoeRQRERERCRD27bB44+H5w1tCot0mtJC0ik5FBERERHJ0KxZsHo1HHww9O2bdDR1kzooTXl5srFIYVByKCIiIiKSobikdMyYMOpnQ3bEEdCtG6xYAfPnJx2NFAIlhyIiIiIiGSgvh8ceC88bekkphOR26NDwXKWlAkoORUREREQyMm8eLF8eWtuOOy7paOqH+h1KqhqTQzPrbGa/iJ5/3swWmNlMMzs459GJiIiIiBSIuKR01Cho1kiaWAYPDi2IM2fC+vVJRyNJy+Rt/Wfg82ZWBPwJmAI8C9yVy8BERERERApJYyopjXXpAsceC1u2wPTpSUcjScskOTwBOAvYD+gHXAf8DDg6h3GJiIiIiBSMxYvhzTdh993h1FOTjqZ+lZSER5WWSibJYevo8UzgVXdfA3QFNuUsKhERERGRAhK3Gp5xBrRqlWws9U1TWkgsk+TwceAZ4H+BsWZ2CFAKPJrLwERERERECkXc33D06GTjyIVjjoHOnWHpUli0KOloJEmZJIeXAfcAl7n7n4EdwN+A7+QyMBERERGRQvDhh/DCC9C6dUUJZmPSvDkMGRKeq7S0aasxOXT3rcBDwDozuwgw4A5335br4EREREREkvb446Hc8vTTYbfdko4mN+Kkt7Q02TgkWS1q2iCljLQV8B6wP1BuZoPdvSzH8YmIiIiIJKoxl5TG4pbDGTNg40Zo2zbRcCQhmZSV3grcB+zv7icQRi29G/hjLgMTEREREUnaf/4D06aFuQBHjkw6mtzp1g2OPDIkhjNnJh2NJCWT5PDzwA3uXg4QPd4QLRcRERERabRKS8McgP37w157JR1NbsWjlqrfYdOVSXK4ltDPMJUBH9d/OCIiIiIihSMuKW1ME99XRcmh1NjnkFBWWmpm/wcsB3oC3wV+n8O4REREREQStXkzTJoUnjfm/oaxE06A3XeHsjJYvhwOOCDpiCTfMhmt9BbgV8AYQjnpMOCaaLmIiIiISKP0zDOwbh306wcHHZR0NLnXsmUYkRXUethUZVJWirvfBZwOjCAkhw/nMigRERERkaQ1pZLSmEpLm7Yak0Mz283M/gpsAOYBvYCFZpbeD1FEREREpFHYvh0mTAjPm0JJaWzo0PA4bVoYiEealkxaDv+PMMdhL2ALsAR4FLgjh3GJiIiIiCTmxRfho4+gZ084/PCko8mf/feHvn1DOe3s2UlHI/mWSXJ4JnCxuy8Hyt19O/AT4KicRiYiIiIikpDHHguPY8aEOQ6bkpKS8Fhammwckn+ZJIcbgY5py7oAn9Z/OCIiIiIiySovr+hv2JRKSmPqd9h0ZZIc/gV4wsxGAc3NbCDwd+D+XAYmIiIiIpKEf/8bFi+GPfeE/v2Tjib/TjoJ2rWD11+H999POhrJp0ySw18RRie9iTAv4j3ANOB/cxiXiIiIiEgi4pLSkSOhefNkY0lCmzZw6qnh+ZQpycYi+dWipg3cfQfw2+hHRERERKRRa8olpbFhw+DJJ0O/wwsuSDoayZcqk0Mz+1lNO7u7Wg9FREREpNFYvhxeew3at6+YEL4pigelmToVtm2DFjU2KUljUN3LfFj0uAdwKqGUdBmwLzAEmJjTyERERERE8iwuKS0pCeWVTVWvXnDwwbBoEcyZAyeckHREkg9V9jl09y+6+xcJo5WOcfch7n6Ju58BjAQ65ytIEREREZF8iEtKx4xJNo5CoFFLm55MBqQZCDyZtuxp4Oh6j0ZEREREJCGrVsHMmdCyJZxxRtLRJE/JYdOTSXK4APhu/IuZNQN+CszLVVAiIiIiIvk2cSLs2BFG6uyYPst3EzRwILRuHcpKP/446WgkHzJJDi8DvmNmH5rZ68BHwLnAN3IamYiIiIhIHsX9DVVSGrRvDwMGQHl5GJhGGr8ak0N3fw04GPgyYa7Ds4Bid387x7GJiIiIiOTFZ59VzOk3cmSysRQSlZY2LVUmh2Y2JHocDpwOtAU+BdoDQ6LlIiIiIiIN3lNPwaZNcPzx0L170tEUjjg5nDw5lNxK41bdVBY3A58Dbq9ifTlwUL1HJCIiIiKSZyoprVxxMfToAe++C/PmwVFHJR2R5FKVyaG7fy56epC7l+cpHhERERGRvNq6FZ54IjwfPTrZWApNUVGY8/Guu6C0VMlhY5fJgDTvmtlNZnZozqMREREREcmzGTNg7Vro2xcOOSTpaAqP+h02HZkkh18DugDPmdlrZna1mXXLcVwiIiIiInmhktLqDRoELVrA7NkhiZbGK5PRSp9x94uBbsAvgKOBf5tZaY5jExERERHJqR07KpJDlZRWrmNHOPFE2L4dpk1LOhrJpUxaDmNF0fbNCIPRbMlJRCIiIiIiefLKK/D++7DffnD00UlHU7hUWto01JgcmlmJmd0HfAxcA7xAmOdwVK6DExERERHJpfHjw+Po0WHwFalcSUl4LC2Fcg1V2WhVN5VF7M/Ag8Dx7l6W43hERERERPImTg7V37B6hx8O3brBihUwfz587nM17yMNTybJ4QGaykJEREREGpu33gJ32GMPGDAg6WgKW1ERDB0K990XSkuVHDZOmQxIo8RQRERERBqduNVwxIgwGqdUT/0OG7/aDEgjIiIiItJoaAqL2hk8GJo1g5kzYf36pKORXMhkQJqD8hGIiIiIiEi+rFgBL78MbdvCkCFJR9MwdOkCxx4LW7bA9OlJRyO5kEkD+otm1svd12V7EjM7B7gO6AEsB65198fMbA9gLDAI+BS4zt3vjfYpAm4AvhnFeT9wtbtvj9afC1wP7AXMAL7h7h9G644kDKRzKLAQuMzdX4zWZX1OEREREWkc4lbDoUOhXbtkY2lIhg2DF18MpaUjRiQdjdS3TMpKlxAmvs+KmR0C/IWQvHUAvgP8w8y6AncD64G9gbOB35hZv2jXK4AzgH5AMdAf+FZ0zH7An4BzgT2BlcAd0bo2wMTonJ2AW4FxZtYqOm5W5xQRERGRxkMlpdmJ+x1qSovGKZOWwy3A02b2ASEJ++/bwN2PrWlnd3/bzPZ29/Vm1gHYB1gXHXc0cIi7bwJeNrO/ARcDVwHnA39w9w8AzOxG4BfAH4GvABPc/aVo3Y+AD81sL0Iiu8Pd74xCGGtm3wNGmNnkOpxTRERERBqBNWtgxgxo3hzOPDPpaBqWY44J5aVLl8KiRdC7d9IRSX3KJDm8N/rJWpQYHggsAoqAy4FewFZ3X5K6KfCF6HkfYEHaur5R6WcfYHbK8Veb2dpoefp+8b6HElpBszqnRm0VERERaRyeeAK2bYNBg6Bz56SjaViaNw99NB9+OJSWKjlsXGpMDt39PoCoLHN/YDFQ5O47anmud4E2wMnA48BvgI1p22wA4qrv9tHvqeuaAa0rWZe6b03rsj3npur+OBERERFpGOKS0tGjk42joRo2LCSHpaVw1VVJRyP1qcbkMCoFvQ34KrAZOBIoNbPh7u6Znsjdt0VPnzGzfwHHAG3TNmtH6A8IITFrm7Zum7tvMrP0dan7Zruu2nNW97dt3ryZsrKy6jbJm02bNhVMLA2Nrl32dO2yp2uXPV277OnaZU/XLnuFcu02bSqitPQQoBmHHrqQsrJtNe6TtEK5drGePZsDhzB9+g5ee+1t2rQp3AK7Qrt2hS6TstI/AK0IZaDzCC2HjxIGgDmtpp3NbDhhxM/TUxa3io4z3Mz2d/d34s2pKOssi35/KWVdWdq6+Bxdgc7R8t2AK9PDAP5GGLm0ZZbnrFLr1q0pLi6uabO8KCsrK5hYGhpdu+zp2mVP1y57unbZ07XLnq5d9grl2j3+OGzcGPrODRrUMGoiC+XaxYqL4cgj4bXXmvHxx30KeiqQQrp2c+fOTTqEGmWSHJ4J9HL3z8ys3N23m9lPgI8yPMerwDFmdj7wEDAMGA4cRyhTvdHMLib0CTwvWgfwIPBDM3sG2ApcAzwQrXsYeNbMxgKvADcCpVHfw2eA1mZ2FWFE0/MJI5NOjv6GCVmeU0REREQauPHjw6NKSutm2DB47bXQ77CQk0OpnUymstgIdExb1oUwR2CN3H0lMIIwhcVa4H+B0e7+FmGU0JbAe8C/gB/GI5ASWiYnAC8TWvZmATdHx5wX7TuWkKR2By6M1m0GSgjTXHxCGIV0pLt/Fh03q3OKiIiISMO2bRtMnBieawqLuikpCY9PPZVsHFK/Mmk5/AvwhJldBzQ3s4GE6R3uz/Qk7j6T0McwffknwDlV7LMd+En0U9n6R4BHqlj3BnBiFeuyPqeIiIiINFzPPw+rV8Mhh4TSSMne8cfD7rtDWRksXw4HHJB0RFIfMmk5/BWhjPMmQjJ5DzCN0AIoIiIiItIgpJaUFhUlG0tD17IlnB6NKKLWw8Yjk6ksdgC/jX5ERERERBqc8vKKKSxUUlo/hg2DceNCcnjppUlHI/Uhk6ksWhHKSM8FuhHmK/wrcFMWcx2KiIiIiOTda6/BO+/APvvAsccmHU3jMGxYeJw2DbZsgVatko1H6i6TstJbgdOB7wInEUbwPAu4IYdxiYiIiIjUm7ikdNQoaJbJHbDUqEcPOPRQWLcOXngh6WikPmQyIM2XgEPc/ePo97lm9gLwBvDjnEUmIiIiIlJPVFKaG8OGwfz5obR04MCko5G6yuR7k/8ArdOWbSPDqSxERERERJK0aBH8+9/QsaMSmPoWl5ZqUJrGIZOWw3uByWb2S2AxYU7BHwNPm1k8eTzuPik3IYqIiIiIZC8uKT3jDPWLq28nnQTt2sHrr8P770P37klHJHWRSXJ4YfR4Y9rybsDQ6Hk5cFB9BSUiIiIiUl/iktLRo5ONozFq0wZOPRWefBKmTIELLkg6IqmLTKayODAfgYiIiIiI1LeVK2H2bGjdGkpKko6mcSopCclhaamSw4ZOYzWJiIiISKP1+ONhjsPBg6FDh6SjaZzifodTp8K2bcnGInWj5FBEREREGq24v6FKSnOnVy84+GBYswbmzEk6GqkLJYciIiIi0ih9+mmYoL1ZMxg5MuloGjeNWto41JgcmtnXzaxrPoIREREREakvpaWwdWsYUXPPPZOOpnGL+3MqOWzYMmk5PBdYamYvmNk1ZnZYroMSEREREakrlZTmzymnhEF/5syBjz9OOhrJVo3JobsPA/YGrgf2BcaZ2TIz+2OugxMRERERycbmzTApmoVbyWHutW8PAwaEwX+mTk06GslWRn0O3X0DsBB4E5gLdAXOzGFcIiIiIiJZmzYN1q+Hww+HAzUxW16o32HDl0mfw4fMbAUwDRgAPA300/yHIiIiIlKo4pLSMWOSjaMpiZPDyZNhx45kY5HsZNJyeCDQHngZeAGY7e5LchqViIiIiEiWtm8P8xuCksN8Ki6G/feHjz6CefOSjkaykUmfwxMJfQ3vISSKfzWz983sH7kOTkRERESktmbPDgnKgQfCYRpKMW+KiipaD0tLk41FspNpn8PPgDLAgcVAK+CAHMYlIiIiIpKVxx4Lj2PGhIRF8kf9Dhu2FjVtYGZ/Ak4HugBTgUnAt939oxzHJiIiIiJSK+XlmsIiSYMGQYsWofV27Vro1CnpiKQ2akwOgQ3AJcBz7r4tx/GIiIiIiGTtzTdhyZIw6f2JJyYdTdPTsWO47s89F0aMPeuspCOS2sikz+HVwDvAL8zsL2a2h5ldmPvQRERERERqJy4pHTUKmjdPNpamqqQkPKq0tOHJZCqLEuAloDtwFtAO+KWZXZPj2EREREREakUlpclLHZSmvDzZWKR2MhmQ5iZgjLtfBGx39xXAYODynEYmIiIiIlILS5eGKRQ6dIDTTks6mqbr8MOhWzdYsQLmz086GqmNTJLD/YGZ0fM493dgt5xEJCIiIiKShQkTwuPw4dCmTbKxNGVFRTB0aHiu0tKGJZPkcB5hQJpU5wBv1H84IiIiIiLZUUlp4dCUFg1TJqOVfhuYbGaXAR3MbAbQBxiWy8BERERERDL18cfw/PPQsmVoOZRkDR4MzZrBzJmwfn0o9ZXCl8lopW8ChxD6Hl4L3AMUu/u8HMcmIiIiIpKRiRNhx44wz17HjklHI126wLHHwpYtMH160tFIpqpMDs3Mose+hH6HbwJPAq8C+0TLRUREREQSF5eUjhmTbBxSQaWlDU91LYevRI//ruLnzdyGJiIiIiJSs/XrYerUMBDKqFFJRyMxTWnR8FTZ59Ddd4seMxm0RkREREQkEU89BZs3wwknhCkUpDAcc0woL126FBYtgt69k45IalJdWelCM/uBmXXOZ0AiIiIiIrXx2GPhUSWlhaV5cxgyJDwvLU02FslMda2CNwKjgPfM7CEzOylPMYmIiIiIZGTLFnjiifBcU1gUHvU7bFiqTA7dfay7nwwcAbwL/MPM/m1mV5mZxoASERERkcTNmAGffgqHHqqyxUIUtxzOmAEbNyYaimQgk6ks3nb3HwM9gGuAgcBiM7snx7GJiIiIiFRLJaWFrVs3OPLIkBjOnJl0NFKTjAebcfcdhKks7gGeBc7LVVAiIiIiIjXZsaMiOVRJaeEqKQmPKi0tfBklh2Z2mJn9FngP+B0wE9gvl4GJiIiIiFTn5Zfhgw+gRw846qiko5GqpE5pIYWtyqkszGxPQuvg14E+wKPAl9xdDcIiIiIikrjUVsOiomRjkaodfzzsvju89RYsWwY9eyYdkVSlupbDFcDFwP3Avu7+NSWGIiIiIlIIysth/PjwXP0NC1vLlnD66eH55MnJxiLVqy45HOTun3P3P7j7mrxFJCIiIiJSg7fegrffhs6d4eSTk45GaqIpLRqG6qayeD6fgYiIiIiIZCpuNRwxAlpU2VFKCkWcHE6bFuamlMKkj5KIiEgTsWzZWiZNWshbby2nT5/1DB/em549OyUdlkhWVFLasPToEeainD8fXngBBg5MOiKpjJJDERGRRm7lyvVcccUkxo8vo7w8XjqfoiIYM6aY228fTrduHZIMUaRW3n0XXnkF2rWrmGRdCt+wYSE5fOopJYeFKuN5DkVERKThWblyPf37j2XcuNTEMCgvh3HjyujffywrV65PJkCRLEyYEB6HDoW2bZONRTKnfoeFL+vk0MyerM9AREREpP5dccUkliypfly5JUvWcOWVk/IUkUjdxVNYqKS0YTn55NDa+/rr8P77SUcjlalLy6EGrBERESlgy5atZfz4srSlXYHjoscK48aVsWzZ2nyFJpK1Tz6BGTOgeXM444yko5HaaN0aBg0Kz6dMSTYWqVzWyaG731ifgYiIiEj9mjRpYVopaVfgMmBY9FiRIJaXQ2npwrzGJ5KNJ56A7dtDn7XOnZOORmorLi0tLU02DqlcjQPSmNnPqli1BVgFPOPuS+o1KhEREamz1as3pC3pBTSPnjcHDiL8Vx7ccssGli+Hvn3DT3ExtG+fn1hFMqWS0oYtTg6nToVt2zQNSaHJ5OU4AhgNvAgsB/YD+gMvR+tvNbMvu/vjuQlRREREstGyZbu0JYuB7YTEcDuw83e77u349a933qNnz4pksW/fMBR9cTHstlvOwhap0oYNFYOZjBqVbCySnV694OCDYdEimDMHTjgh6YgkVaa5+tfc/cH4FzM7GzjH3c8xszOAGwElhyIiIgVg9Wr4zW/gllt6p61ZBfyJ0GK4hNRWw6Ii+OMfe7NqFSxYEIabf/ttWLYs/ExKG6+mR4+KZDG1pbGTpk2UHJo6FTZuhM9/HvbbL+loJFvDhsFtt4VEX8lhYckkORwInJ22bDxwD4C7P2lmD9dzXCIiIlJLa9fCzTfDH/4A69YBdGKffYr54IPUQWlWkZoUxr7whWKuuGLnzG7rVli8OCSLccK4YAG89VaYZ+7dd2Hy5J2P0737zglj/KO+YVIf4onvR49ONg6pm5KSiuTwuuuSjkZSZZIcvgN8DfhryrKvAu8DmNmRwAf1HpmIiIhkZN06uPVW+N3vQoII4Zv5//1f6NFjOP37r6x2OotevfbgttuG77K8ZUvo0yf8fOELFcu3bYOlSyuSxfinrCwMT//++6GFJ1W3bruWp/btC113HjRVpErbtsHEieG5+hs2bKecEkYunTMHPv4Y9twz6YgklklyeBUwwcy+DbwL7E/od3i2mR0FPAtcnLsQRUREpDIbNsCdd8JNN8GqqDHw1FPhl7+E/v3jrTowa9ZFXHnlJMaNK9tp9NKiotBieNttw+nWrUPG523RAnr3Dj+pLTjbt4cS1NSEMf5ZuTL8PPPMzsfac89dE8a+fWGvvUJ8IrGZM8M0FmahhFkarvbtYcCA8CXS1Klw3nlJRySxGpNDd59pZr2AM4HuwD+Aie6+zsy6An3cfUWO4xQREZHI5s1w991w/fUh4QI48cSQFMZziKXq1q0Djz56DsuWraW0dCFlZcspLj6AkpLe9OxZf50EmzcPg0306gUjRlQs37ED3nln1/LUBQtCq8Gzz4afVJ0775ow9u0L++yjpLGpUklp4zJsWEgMn3pKyWEhyWQqixeA+4FH3P2T1HXuvmunBREREcmJrVvhr38NSeC774ZlRx8dfh82rOakqWfPTlx++ecpK+tAcR6bXpo1C6Oe9uwJw1OqV8vL4b33dk0Y588PLUTPPx9+UnXqtGt/xkMPhX33zW3SuGzZWiZNWshbby2nT5/1DB9ev4m1VK+8XFNYNDYlJfD974d+yzt2hH8nJHmZlJXeA5wL/N7MpgAPEFoOt+Y0MhEREQFCueZDD4WBG5ZEs08cdljoUzhqVMNtSSsqCqOe9ugBQ4dWLC8vhw8+2LVP4/z5sGYNvPBC+Em1226V92ns0aNuN50rV67niismMX58aknufIqKYMyYYm6/vXYluZKdV18NX4h07x5GKpWGr08f2H//UFUwbx4cdVTSEQlkVlY6FhhrZt2ALwHfB+4ys3+6++W5DlBEpDFSK4RkYscO+Oc/4Re/CCOEQuhvdd118MUvNt5v2ouKQhLQvTsMHlyxvLwcPvxw14Rx/vwwfcdLL4WfVO3bh/5p6eWpPXvWfP1WrlxP//5jKx3Mp7wcxo0rY968lcyadZESxByLS0pHjWq87/umpqgoVDzcdReUlio5LBSZznOIu680s+eAbkAPQLOSiIjUklohJBPl5fD44/Czn8Ebb4RlBx4YksTzzgsDwjRFRUVh1NNu3XbtW/nxx5X3afzwQ3jllfCTqm3bkDSml6gedFDoOwlwxRWTqh3lFWDJkjVceeUkHn30nHr8SyWdSkobpzg5fOopuPbapKMRyKzPYTHw5ehnN+BhYKS7z8txbCIijYpaIaQm5eWh/81Pf1qRzOy3X/j9wgvD1BJSuT33DMPjn3LKzstXrw5TbKSXqL7/fihVfPXVnbdv3Toud1vLE0+U7bySrkAvYDGpc0WOG1fGsmVr1fqfIwsXhtevY8ddX19p2E47LXzZNXt2mIankz5CicukYf4VoDfwXWA/d/8+8I6Z/SinkYmINDK1aYWQpmf6dDjppDBIwyuvwN57h7kLFy6ESy5RYpitLl3Cdb30UrjlljA64ooVYcCbWbPCqK/f+x4MGRIS8c2b4fXXYeLEhTtN+xESw8uAYdFjxQSN5eVQWrowr39XUxKXlJ55JrRqlWwsUr923z1Mu7N9O0yblnQ0ApmVlXZz93UQJrw3s6sIA9R8DPw6k5OY2UnA74E+hK/afuPufzazPYCxwCDgU+A6d7832qcIuAH4ZhTn/cDV7r49Wn8ucD2wFzAD+Ia7fxjHCfwZOBRYCFzm7i9G67I+p4hItpYtW8v48WqFkF298EJoGYzn/+vSBX78Y/jWt6Bdu2Rja8z22CNM/3HiiTsv/89/QkvjTTdt+G8pY9ALiOpNaQ4cROrndtWqDTmNtylTSWnjNmxYmMrmqafgrLOSjkYyaTncaGbnRlNavAK0A0YCB2RygigZexy4FdgD+CJwo5mdDtwNrAf2Bs4GfmNm/aJdrwDOAPoBxUB/4FvRMfsBfyIkqXsCK4E7onVtgInAX4BO0XnHmVn8XVNW5xQRqYtJk9QKITubOzdM69C/f0gMO3YMU1IsXQo/+IESw6TsvjscdxwMHpz+AiwG4u+KtwNLdlrbtatesFz44INQcti69c4j2krjMWxYeCwtJe3/SUlClS2H0eiklwOXAB8SWuJ6A992949qcY4DgCfd/aHo91fNbDpwIjAaOMTdNwEvm9nfgIuBq4DzgT+4+wdRPDcCvwD+CHwFmODuL0XrfgR8aGZ7AUcDO9z9zuh8Y83se8AIM5tch3OKiGRt9er0VoXqWyEWL1YrRGP15pthoJm4NaRDB/jud+Hqq0Nr1v9n787jrJ6/B46/pmnRglIyIWWSY4RsZYns0SBq+mUJkTUJIftOsmWtZMsekkQpZE1ZWr5kG0dkEO2K9vX+/jifa263bWaauZ+7nOfj0WOme+/Mfffp3vv5nPf7vM9xcdEi3wAAIABJREFUySE/vylZWbEXq3OxeelcLDAsfr9mZUGbNk0TPsZM8NZb9rVNG3uvuPTTvLkVmfrzT9tbusceYY8os21s5fA37BOwvaruHQRbq0r7BKr6taqeGf17sJJ4KJAFrFTV2Kk3xVJBwVJQf4i7b/cg9XOt+1R1HrAguD3+52J/b9PNeE7nnCuzunVLtwrRt28NWrWCBx+0HlAu9f34I5x6ql0IDR9u1TJ79bKVwjvu8MAw2TRuXJv27fPibp0LTCA2MASIRPI45ZTaTJ6cqNFljuh+w5NPDnccruJkZRWvCr/zTrhjcRsPDocA+cDVInJ8ECBt1mKviGyNpXxOBj4ClsY9ZAmWtgpQM/h77H2VgGrruS/2Zzd1X1mf0znnyiy6ClEsugoxOvi69sVm1apN+ewzW01q1MjS3O67r7gBuksd06ZBly7WZ+/VV62wzKWX2u333gv16m36d7hw9O+fT27uxqP2nJw6NGiQz+TJ0LKlFbdZtChBA0xz//xjKdeVKsGJJ4Y9GleR2ra1rx4chm+DaaWqeqaI1AbOAu4GHsP28OUCpUkrBUBEdgZGYtPlp2B7+qrHPawGth8QLDCrHnffKlVdJiLx98X+bFnv2+hzbuzftnz5cgoL4wtNhGPZsmVJM5ZU48eu7PzYlUyLFjsxYULsMuBc4oNCgDZtdqR375mMHbuI997birFjazFhQiUmTICrr4bdd19KmzYLadPmXxo3Xpmw8SebZH/dzZhRmYED6/HGG7VZtSqLypUjdOy4gAsvnEuDBquYPx/mb7x4bYVJ9mOXTJ555hB69/6KMWOmr7UfKisLjjlmR264YR9q1PiTfv3q8cIL2/DQQ1m88spKbrhhJkcd5VFirNK+7t5+eytWrtyBFi0WM3fu78xd9+MyY6T7e3annbKpVKkpY8dGmDTpJ2rWLL/Nh+l+7MrbRquVquoCrKDLIyJyMLb/8H0RmQoMVtX7SvIkIrIv8A7wInCVqq4JfkcVEdlJVaNXS0JxWmdh8PcvY+4rjLsv+vvrAdsEt28JXBI/BGAwVrm0rM+5QdWqVSMvLz71JByFhYVJM5ZU48eu7PzYbdrvv8O0aQ2xYskbjgiaNKnDc8+dQk5OLfbf31YOFy+22dShQ2HkSPjhh+r88EN1HnqoPs2bQ8eO9me33RL2z0kKyfq6mzED+vSBxx+HFSts1aNLF7j55qxgFSr8/NFkPXbJKC8PWrfel6KiBYwePZXCwt/Iy2tE27ZN16oo/OyztiJ8wQUweXIVevRoyMknw6OPWosMV/rX3S232NfTT6+Z8a/XTHjPtmwJX3yRxYwZu5XrSnEyHbvJKZB7XpJqpQCo6meqejawPfA0VhRmk0RkOyww7KuqV6jqmuD3LQTexCqX1hCRFsDpQLRwzYtALxHZMfgd1wEvBPe9DBSIyCFBddI+wOhg7+GHQDUR6SEiVUSkK1aZ9N3NfE7nnCuThQstJWru3Fq0atWV9u3z4lJMbRWioCCPceO6kpOzdtWFmjWtvPfLL8Ps2bZf7YwzrKrilCnWBiEvzzbx33qrbej3im+JN2eO7SFs0sQCgpUrbY/hDz9Y4JCbG/YI3eZo3Lg23bq1oFu3ZnTr1mK9rWb23Re+/NL6KdaqZe/VvDzrV7nam2KVyrJlVr0SfL9hpohWLfXU0nCVpM/hWlT1X6Bf8KckzsXaTdwkIjfF3P4wViV0IDAdS+3sFa1AirWm2A7b+V0NC9weCMbwtYicj03B5wCfAucE9y0XkbbB770L+Blop6qLg99bpud0zrmyWL0aOneGb76BXXeFESNqUadOp02uQmxI9epw0kn2Z/lyeP99W1EcPtyCwu+/h9tus1XE6IriXnuxTjDqys/8+dC3rwUE0b1m7dvb/8Oee4Y7Npd42dm2gtihg3194w247DJ4/nlbTd5vv7BHmBo++MDeT3vvDY0bhz0alwjHHWcTnNGWFn7eCkkkEvE/m/nnhx9+iCSLZBpLqvFjV3Z+7DbsqqsiEYhE6tSJRH76ad37y+vYLV8eiYweHYmce24kss029pzRP7vsEolce20kMmlSJLJmTbk8XVII+3X3zz+RyO23RyJbb118rPPz7Tgnu7CPXSor7bEbPjwS2XFHe31UqhSJXH55JLJwYQUNLsmV5tide64ds9tuq8ABpZBMeM+uWhWJ1K1r/+/rO1+WVTIdu0mTJk2KJEHssrE/JU4rdc45VzpPPQX33w+VK8OwYdC0AtugVa1qs65PPQUzZ8KYMXDhhbDttvDzz3D33bD//pbyePXVMGGCp56W1ZIlVjk2N9f6Ff7zDxx1FHz2Gbz9tq8MubWddJKlFvfsaX9/6CHYfXd4881wx5XMVq8u7m/Yvn24Y3GJk51t/SyhOKXYJZ4Hh845VwE++gi6dbPvH3sMDj88cc9dpQocfTQMHGjFUT76CLp3tybDv/5qgc0BB1iq1hVXWFCzZk3ixpeqli2zvWO5uRZgz5sHrVpZqf3334eDDgp7hC5ZbbklPPAATJxokwd//GH76Nq3h+nTwx5d8vnsM9vDm5vrDdEzje87DJ8Hh845V85++skKyKxaBVddBeedF95YsrMtMO3Xzy5Cx461fVA77GAVVB980AKcnXayfVGffuqFM+KtXAlPPGErv5ddBrNm2SrsO+/Y8TriiLBH6FKFF6wpmWjj+/btfd9Zpjn2WPv68cewNL4zuUsIDw6dc64c/f23VSadPx/atbN0zmSRnQ2HHmoXpr//brPzV1xhgeGff9oFauvWVna/e3dbcVy1KuxRh2fVKnjuORCxFN3p0624z5tvWlruscf6hasrvWjBmsJCC34WLbJJhwMOgBSocl/hIhELmsFTSjPRdtvZJMrSpTb55hLPg0PnnCsnK1daddCffoLmzeGll+xCMBlVqmRpkH37QlGRBTu9esHOO9uexQED4MgjYfvtLTAaM8b+fZlgzRp45RVo1gzOPttScXfbDV59Fb76yoJ+Dwrd5tpxR9uLPHy4fT95svV569mzuOptJvrmG3vP1a8PBx4Y9mhcGDy1NFweHDrnXDmIRODii221LScHRoywtLFUkJUFLVrAvffCL7/YRep118Euu9i+nyeesCIBDRpYiuw771hz93QTiVg6W/PmcNppFuQ3aWItCL77Djp1sqDaufLkBWvWFl01POmk5J1ccxUrGhx6UZpw+GnOOefKwYMPWqXQLbawi7qGDcMeUdlkZVlKz113WXA0ZQrcdJOtnM2bB08/DW3bWurP2WfDyJHWbzGVRSIwapQFyB06WCDYsCE8+aSl/p15pl+kuorlBWuKRfcbeuP7zHXggbDVVvDjj5bZ4hLLg0PnnNtMI0ZY4RmwPWotW4Y7nvKSlWV77G6/3YKk776zBsV77AELFti/9cQTLf3rzDMtKE61AgIffmgFeY4/3lZMGzSw4j1Tp9oqaZUqYY/QZZJML1jz6682IbXlltYexmWmaMVtgHffDXcsmciDQ+ec2wxTplgKYiQCd9xhqYfpqlkzuOUW+PZbCxbvvBP23hv+/RdefNFm+uvXt+Px+uvWDzBZjRtnVUaPOgo+/xzq1bP9l7/8YsV4qlULe4QuU2VywZpoSml+vr8HM13btvbV9x0mngeHzjlXRjNn2srZ4sXQuTPccEPYI0qc3Xazf+9XX9kqW58+lg63aJEVc+nYEbbd1oLlIUOSp8DGxIm2n+XQQ61Ueu3a0Lu3rVhccQVUrx72CJ0zmViwxlNKXVS0pcUHH6TnHvdk5sGhc86VwdKlVjDhjz+s6udTT2VuBctddoFrr4VJk2DaNLjvPlvlWLIEXnsNTjnFAsUOHWDwYFtpTLQpU+z/q2VLS1Packu4+WYLCq+/PnWKB7nMkykFa2bPhvHjLaUwPz/s0biwNWxo2SoLF1rbJZc4Hhw651wpRSJwzjnW/qFxY5vZ32KLsEeVHHbe2fZffvEF/PabFepp1QqWLbNVgc6dLVBs186qgC5YULHjKSy04HTvveGtt6BGDbjmGgsKb7vNVg6dS3aZULBmxAhrI3PUUVaMxDlvaREODw6dc66UbrvNet5tuaVd0NSvH/aIktNOO8Hll9v+vunT4dFH4bDDrF/iiBHQpYsdu+OPh2eegb//LtnvLSpawIABE3nsse8ZMGAiRUXrRpi//AJnnWXFc4YMsf1Ll19uK5t33w1165bzP9a5BEjngjXRlFJvfO+iPDgMhweHzjlXCoMHW3BYqZIFiHvsEfaIUsMOO8All9g+v7/+ggED4Mgj7YJ21Cjo2tXaYxx7rLWQmDNn3d8xc+YiCgqGkJv7MN27j+LRR7+ne/dR5OY+TEHBEGbOXMTvv8P554MIvPCCFffo1g1+/tlWMbfbLuH/dOfKVToWrFm4EN5/31Lz27ULezQuWRx6qGV7TJli5w2XGB4cOudcCX3+uQUxYIFGtJqaK52cHAvYPvjAivo88QS0aWPpuu+9BxdcYI856igYOBBmzbLAsFWrQQwbVkgksvbvi0Rg2LBCRAaxyy6LeOopu/2cc0DVAtEdd0z8v9O5ipROBWveecf6pR50kL33nQPL+DjySPv+vffCHUsm8eDQOedKoKjI9vgsX26BTY8eYY8oPWy7ra30vfuuBYGDBlnQnZ1tPQi7dbPeg3vuOYpp0+Zv9Hf9++98Vq4cxemnWwGPQYNsD6Rz6SwdCtZ4SqnbkGhq6ejR4Y4jk3hw6Jxzm/Dvv9ayYvZsOOYY2++TqZVJK1LdurbaN2qUBYrPPWfHvXLlBcydWxj36HrAAcHXYllZhfTuvYBdd03UqJ0LXyoXrFmxAt5+2773FhYuXjQ4HDMGVq0KdyyZwoND55zbiNWrran7d99Zb78hQ6zUuqtYdepYQZm33oI+fabG3VsPuAg4LvhaHCBGIjB6dPzjncsMqViw5qOPbAJujz2sLY5zsZo0sdfF/Pk2+eEqngeHLuOVpPKhy1xXXWUrWXXrwsiR3vogDEuWLIm7pQmQHXyfDeSude/cufGPdy5zpFrBmuHD7aunlLoNie7v96qlieHBoctYJal86DLbwIG2f6dKFSv80KRJ2CPKTHXr1oi75RcgugyyGpi21r316sU/3rnMkwoFa9asKd4b6SmlbkO8pUVieXDoMlJJKh+2ajXIA8QM9v771noBrJpm69bhjieT5ec3jdvjORcYCIwOvs79756sLGjbtmlCx+dcMkvmgjVffgkzZkCjRrDPPmGPxiWrww6zyqUTJ66/zZErXx4cuozUvfumKx9OmzafSy4ZlaARuWTy44/QsaPt0bn2Wjj77LBHlNkaN65N+/Z5cbfOBSYQGxgCdOiQR+PGnvvrXKxkLVgTTSk9+WQv8uU2rGZNm6CNRKwwjatYHhy6jFNUtIA33ihZ5cNhwwp9D2KGmTcPTjgB/vnHLpx69w57RA6gf/98cnPrbPQxTZrUoV+//ASNyLnUk0wFayKR4hYWnlLqNsX3HSaOB4cu44waNTUuldQrHzqzYgV06AC//GIpTi+8AJX8UzIp5OTUYvz4rhQU5K2zwpCVBQUFeYwb15WcnFrhDNC5FJEsBWsKC2HqVCv2dcghiXtel5qi+w7ffdf2qrqKUznsATiXaPPmlaTyYXGqmlc+zAyRCFx0EYwdC9tvDyNGWCqLSx45ObUYOrQTRUULGD16KoWFv5GX14i2bZt6KqlzpRQtWPPmm7a/Olqw5tJL4Y47bGWxIkVXDa2XacU+l0t9u+0GO+0Ev/8OX39tq+CuYvicuMs4XvnQrc9998Ezz0D16tZbb4cdwh6R25DGjWvTrVsLunVrRrduLTwwdG4zhFWwJhocegsLVxJZWcWrh6NHhzuWdOfBocs4hxwSX8nQKx9muuHDrfAMwIsvWsEG55zLFIkuWPPHH7ZSWaMGHHNM+f9+l568pUVieHDoMsonn8CJJ9YGSlb5MDs7jylTfFUinX31FXTubGmld91lew6dcy4TJapgTbRK6XHHWbaGcyVx1FGWgvz557DAawVWGA8OXUZYvhyuvhqOOMLy1Zs3z6dhw41XPqxZsw6rVuVz8slw3XWwalWCBusS5q+/bL/LkiVw1lnFq4fOOZepElGwxlNKXVlstRW0amUTFR98EPZo0pcHhy7tffsttGhhe8qysuCmm2DixFpMmLDxyodTp3blvvtqkZ0Nd98Nxx4Ls2eH829w5W/JEmjXDv780yrlPfGE99lyzrmoaMGa4cPt+2jBmp49LWAsq3nzrPBX5cpw/PHlN16XGXzfYcXz4NClrTVroG9f2H9/CxB32QXGj4fbb4cqVYorH06bdhkDBuTTo0czBgzIZ9q0yxg6tBMNGtTiqqtsdqp+ffjwQ0u5+eKLsP9lbnOtWQNdutjFTm6uzWJXqxb2qJxzLvmUd8GakSNt5efww6HOxhN4nFtH7L7DtduSufLiwaFLS7//brnpV11lvesuuMD2lh144LqP3VTlw8MOs59t1cpWmVq3hn79/EMpld18MwwdaikqI0ZAvXqb/hnnnMtU5VmwJrrf0FNKXVk0bw45OXY99v33YY8mPXlw6NJKJGLVJvfcEz7+2Fb8RoyAxx/fvJ5N228PH31k+y5WroQePeDMM2Hx4nIbukuQF16A3r1tX82QITYD7pxzbtM2t2DN0qVZvPuufX/SSRU7VpeeYltaeNXSiuHBoUsbf/8Np5xiQdu//9qJ57vv4IQTyuf3V6li6TQvv2zN0V96yVYif/qpfH6/q3jjxsF559n3jzxi+0idc86V3OYUrBk/vhZLl9reRe8l68rKg8OK5cGhSwvvvQd77AGvvWazmU8/bfvItt22/J/r1FNhwgQQseCzRYviymsueU2bZhcyK1bYyu/FF4c9IuecS12lKVhTVLSAAQMmMmDA98BEDj/c+xC4sjv6aKhUCT79dPOKI7n18+DQpbQlS+xC/9hjYcYM2xc4ZQp07VqxlSd3390CxI4dbZWyQwe45hpvd5Gs/vnHWlbMnWszjg88EPaInHMuPWysYM3MmYsoKBhCbu7DdO8+ih9//AIYxX33PUxBwRBmzvQre1d6devaRMSKFbblx5UvDw5dypo82TbG9+tnJbHvusua3OfmJub5t9rK9qz17WtpNvfeC23awKxZiXl+VzKrVlm68Q8/2AXLK6/Y68U551z5WH/BmkU0aTKIYcMK1yngFonAsGGFtGo1yANEVyaeWlpxPDh0KWfVKrjzTtvv9+OPthn+yy+tUX12dmLHkpUFV1xhbS5ycmwGa9994bPPEjsOt2E9e8K771pF0pEjYeutwx6Rc86lp9iCNdnZo1iyZP5GHz9t2nwuuWRUgkbn0knbtvZ19GivHl/ePDh0KeWXX6yVxE03WZB42WW2grjvvuGOq3Vr+N//rJn6X39Z+4tHHvEPrLD1728ry1Wr2r6YnXcOe0TOOZfesrOhXbsFrFlTGHdPPeCA4GuxYcMKKSryPYiudPbbz9JLf/0Vfv457NGkFw8OXUqIRODJJ62/zeefW2uJ996zvQ3Vq4c9OtOgga0g9uxZHLh27uybpcPy7rv2fwBWoKhVq3DH45xzmWLUqKlxk6P1gIuA44KvxQFiJAKjR09N6Phc6svOtq08YKuHrvx4cOiS3uzZ1mz3ggusr+App8C338Ixx4Q9snVVqWL7LoYMsaqpL79s5b1Vwx5ZZvnhB+jUyfpu3XADnHFG2CNyzrnMMW/ekrhbmgDRfR/ZwNrFAebOjX+8c5vm+w4rhgeHLqm99Za1qHjrLdsr9tJLVlBkm23CHtnG/d//WTXTvDwLVFq0gNdfD3tUmWHOHOtt+e+/Vk329tvDHpFzzmWWunVrxN3yC7A6+H41MG2te+vVi3+8c5sW7VX88cewdGmoQ0krHhy6pLRoEZx/vpXInjMHjjjCVgtPPz3skZVctFBOp06wcKEFKr16ebuLirR8ufUy/PVX2H9/eO4564XknHMucfLzm8a1k5oLDARGB1/n/ndPVha0bds0oeNz6WG77azmxNKl1vPQlQ+/bHJJ57PPbG/hU09BtWqWpvn++9CwYdgjK70tt7SVzgcftPYJ998PRx0FM2eGPbL0E4nYhML48daQ+a23oIZPRjvnXMI1blyb9u3z4m6dC0wgNjAE6NAhj8aNaydqaC7NeGpp+fPg0CWNlSvhxhvh0ENh2jQLECdNsgIvqbz6k5UFl19ubS4aNICxY22ma9y4sEeWXu6+G154AWrWhBEj7Fg755wLR//++eTm1tnoY5o0qUO/fvkJGpFLR9Hg0IvSlJ8UvuR26aSwEA46CHr3thWga66xlMw99gh7ZOXnkEOs3UXr1jBjhqXKPvSQt7soD6+/Dtdfb4H4Sy/B3nuHPSLnnMtsOTm1GD++KwUFeXEppvZZXVCQx7hxXcnJqRXOAF1aOPBA2Gor63tdVBT2aNJD5bAH4DLbmjUwYIDtxVu2DBo1stWfQw8Ne2QVIyfHUmSvv95STHv2hC++sBTaWn5+LJNJk+DMM+37e+6xfarOOefCl5NTi6FDO1FUtIDRo6dSWPgbeXmNaNu2qaeSunJRpYpVr3/9dWthdeGFYY8o9fnKoQvNn39C27bQo4cFhl26wDffpG9gGFWlCtx3HwwdansSX30VWra0WS9XOtOnQ7t2thm9a1e46qqwR+Sccy5e48a16datBd26NaNbtxYeGLpy5fsOy5cHhy4Ur70Ge+5pjezr1rVA6dlnLTUgUxQUwMSJsPvullbbooUdF1cyixdbYDhjBhx2GDz2GOukLjnnnHMuvUVbWnzwAaxYEe5Y0oEHhy6hFiywFMBOnWD+fFs5/PZbC5QykYjtrTz1VGvf0akTXHGFFedxG7ZmjTW2/+or2GUXSyepWjXsUTnnnHMu0Ro2hGbNrG3YZ5+FPZrU58GhS5iPP4a99oIXX4Tq1W2v4dtve1XJWrVg8GB4+GFrd/Hgg9buYsaMsEeWvK6/HoYPh9q1rTJp3bphj8g555xzYfHU0vLjwaGrcMuW2V6wI4+EP/6w9Mmvv4Zu3TwNMCorCy691ALo7be3Zq777utNXdfn2Wet8Ex2tqUj77Zb2CNyzjnnXJjatrWvHhxuPg8OXYX65hsrttK3r/UqvOUWa1K+665hjyw5tWpl7S4OPxxmzrR2Fw884O0uosaOhQsusO8HDLAVVuecc85ltkMOgRo1YMoU+OuvsEeT2jw4dBVi9WqryNmihe0pbNrUgsJbb7VqnW7DttsOxoyBq6+243jllbYXceHCsEcWrp9/hvbtbT9mz57FQaJzzjnnMlu1apahBlbs0JWdB4eu3P32m71Br77aqkZddJEVDjnggLBHljoqV7bUyWHDrN3F0KG2AvvDD2GPLBzz58MJJ8Dff8Pxx9vEg3POOedcVHTf4ejR4Y4j1Xlw6MpNJALPP29FZ8aOtRWwkSOtxUDNmmGPLjW1b29N3vfYw/ogtmxpfREzycqVtnKqau1PXn7Z9hs655xzzkVFg8MxY2DVqnDHkso8OHTlYt48u4Dv0gX+/RdOPtnSSY8/PuyRpb5dd4UvvoDTT7fefqeeCpdfnhntLiIRK9Tz/vtQv75VJt1yy7BH5Zxzzrlk06SJbWOaP9/6SLuy8eDQbbZ33rEVnaFDrS3DoEGWDrnttmGPLH3UrGktQB591PZsPvywFatJ903Xjz4KAwfaXoI334RGjcIekXPOOeeSlbe02HweHLoyW7IELrnEygfPmGGVor75Bs45x1tUVISsLDven3wCO+xgBX723df+no5GjbLCMwDPPAMHHhjueJxzzjmX3Hzf4ebz4NCVycSJsM8+0L+/rWT16WM9+nbeOeyRpb+DDrJ2F0ceCbNmWTuH++9Pr3YX335r6bNr1lj7k9NOC3tEzjnnnEt2hx1m2UaTJsGcOWGPJjV5cOhKZdUquOMOOPhg+Okn2H13+PJLuPZaLxKSSPXrw7vv2nFfvRp69YKOHW2/Z6qbPRtOPNFad5x6qgWHzjnnnHObUrMmtG5tE+ZjxoQ9mtTkwaErsZ9/hkMPhZtvtiDx8sth8mRbQXSJV7myrdgOHw5bbWX7PFu0gO+/D3tkZbdsmRUz+u03a30yaJCnKDvnnHOu5Nq2ta++77BsKifyyUSkJTBcVbcP/l4HGAQcCfwD3KaqTwf3ZQF3AecF43weuEJVVwf3nwb0BuoDHwPnquqs4L59gMeBZsBU4CJV/WJznzNTRSLw5JO2/2vJEtvv9txzls7ownfSSZY+UVBg6ZgtW8JTT6VeKmYkAueeC59/Dg0bWtBbvXrYo3LOOedcKjnuOLjiCsuwWrMm7NGknoSsHIpIloh0Bd4Dqsbc9SSwCNgO6AjcKyJ7Bfd1B44H9gLygFbAxcHv2wsYCJwGbAvMBAYE920BjACeAWoDjwDDRCT6vGV6zkw1axa0awcXXmiB4WmnWQDigWFyadrU2l2ccYb9P51+urWAWLEi7JGV3J13wuDBVvF25EjIyQl7RM4555xLNbvtBjvtBLNnL+D66yfy2GPfM2DARIqKFoQ9tJSQqJXD64FO2ErfNQAiUgs4GdhVVZcBE0RkMHA+0AM4E3hIVWcEj+8D3Ao8CnQG3lTVL4P7rgFmiUh9YD9gjao+Fjz3IBHpCZwoIu9uxnNmnDffhPPPtw29tWvDgAGptxqVSWrUgOeft/2gl11mbSAmTYLXXrPV3mT26quWrpyVZU3u99pr0z/jnHPOORdv1qxFVKo0Cijknnuit35PVha0b59H//755OTUCnGEyS1Rew4HAXsDsS0pmwIrVXVazG2KpYIC7Ab8EHff7kHq51r3qeo8YEFwe/zPxf7ezXnOjLFwIZx3nu39mjPHVgm/+cYDw1SQlQXdusGnn8KOO1qK5r77wkcfhT2yDZswAc4+277v2xdOOCHU4TjnnHMuRc2cuYhWrQbgSGP0AAAgAElEQVRRVFS4zn2RCAwbVkirVoOYOXNRCKNLDQlZOYxZiYu9uSawNO6hS4AaMfcvibuvElBtPffF/uym7ivrcy5b378NYPny5RQWrvsiDMOyZcs2ayz/+191rrtue/74oypVq67hyitn07nzfBYtgiT5J1aYzT12yWSrreCVV7Lp1Wt7Pv+8FkcfHaFnz9l07fp3hRR4Keux++uvypxyys4sW1aZ//u/+Rx77My0f53FS6fXXaL5sSs7P3Zl58eu7PzYlZ0fu5K57LLxTJs2f6OPmTZtPl26vMpDDx2coFGlloQWpImzBIgvN1ED2w+4vvtrAKtUdZmIbOxny3rfRp9zY/+QatWqkZeXt7GHJExhYWGZxrJiBdx2G9x9t23e3XtvePHFSjRrlgNkxuavsh67ZPbpp5auedddWfTtux2//LIdzz4LW29dvs9TlmMXbVUxb571bHzppTpUqVKnfAeWAtLxdZcofuzKzo9d2fmxKzs/dmXnx27TiooW8P77f8bdWg9oAvwCzP3v1jFjplO9egMaN66dwBHC5MmTE/p8ZRFmK4upQBUR2SnmNqE4rbMw+HvsfYXru09E6gHbBLfH/1zs792c50xbhYXWWP2uu2zJ/dprrXdhs2ab/lmX3LKzoXdv2z+69dZWAbRFCysqFKbVq6FzZ0tX3nVXGDoUqlQJd0zOOeecS12jRk0lEom9pR5wEXBc8LXef/dEIjB69NSEji9VhBYcqupC4E2gj4jUEJEWwOnAS8FDXgR6iciOIrIdcB3wQnDfy0CBiBwSVCftA4wO9h5+CFQTkR4iUiWokrod8O5mPmfaWbMGHnnE9qT973/QuDGMHWu986pW3eSPuxTSrp31pGzeHKZOhQMPhJde2vTPVZRrroERI6BOHatMWifzFgydc845V47mzYvfVdYEyA6+zwZy17p37tz4xzsId+UQrEpoFWA68DrQK1qBFGtN8SYwAVvZGw88AKCqXwc/OwiYDWwPnBPctxxoi7W5+BurQtpOVRdvznOmmz//tD4wl11mjce7doUpU+CQQ8IemasoTZrAZ59Bly7W7uKMM+CSSxLf7uKpp6zwTOXKMGyYteFwzjnnnNscdevWiLvlFyDaqnw1MG2te+vVi3+8gwTvOVTVj4lZ01XVv7EWF+t77GrgxuDP+u4fAgzZwH3fAOvdZbo5z5kuXn3VKlrOnw/16sETT0D79mGPyiVCjRrwzDOWRnzppdC/v7W7GDrUqptWtI8+stcewMCBcPjhFf+czjnnnEt/+flNycoiJrV0LtYWPRcLDIv3HGZlQdu2Pju9PmGvHLoEWrDA9nmdeqoFhvn5tvfMA8PMkpUFF14I48ZBw4a2v3SffeCDDyr2eX/6CQoKYNUquOoqOPfcin0+55xzzmWOxo1r0759fNGeuVhC4Ny1bu3QIS/hxWhShQeHaaKoaAEDBkzksce+Z8CAiRQVLVjr/g8/hD33hMGDbfVo4EDb65WTGYVI3Xq0aGF7TY85BubOhTZtbL/pmjXl/1x//239C+fPt/2Pd99d/s/hnHPOuczWv38+ubkbL2TQpEkd+vXLT9CIUo8Hhylu5sxFFBQMITf3Ybp3H8Wjj35P9+6jyM19mIKCIRQVLeLKK62R/fTp0LIlfPWVrRxVRL87l1rq1YPRo+HGGy0ovP56W0lesGDTP1tSK1dCx45WCKd5cyuEk5296Z9zzjnnnCuNnJxajB/flYKCvHWuc7OyoKAgj3HjupKTUyucAaaAMPscus00c+YiWrUatN5mn5EIDBtWyIgRM1m5sivZ2bW46Sa44QYrBOJcVHY23HGHVTA94wx46y3Yf38rFrPXXpv3uyMRuPhi22uYk2MVSmv557FzzjnnKkhOTi2GDu1EUdECRo+eSmHhb+TlNaJt26aeSloCHiaksO7dR603MIy1cuV8atUaxQcfdKJlywQNzKWk44+3dhcFBfD11xYsPv44nHlm2X/ngw9addIttrCgs2HD8huvc84559yGNG5cm27dWlBYWIu8vPi9iG5DPK00RRUVLeCNNwrjbq0HHEBsk0+AxYsLqV+/HPMEXdrKzbV2F+ecA0uXwlln2crf8uWl/10jRljhGYDnnrM9js4555xzLnl5cJiiRo2aGlOqFywgvAg4LvhaHCBGIjB69NSEjs+lrurV4emnrcVJ1arw2GPQujX8/nvJf8eUKXDaafbau+MO6LTe5jHOOeeccy6ZeHCYoubNWxJ3SxMgWuUjG+vpUmzu3PjHO7dhWVlw/vkwfjw0agQTJsC++8L772/6Z2fOhBNPhMWLrXXKDTdU/Hidc84559zm8+AwRdWtWyPull+A1cH3q7Fmn8Xq1Yt/vHObtv/+tg/x2GNh3jxrd9G7d3G7i/gWKj/+uICTToI//oCDD7b9hl4V1znnnHMuNXhBmhSVn9+UrCxiUkvnAgOxFcNpxDb7zMqCtm2bJnyMLj3UrQtvv23pobffbm0vPvlkEdWqjeLttwtjXoPfB1/z2HHHfN54oxZbbBHSoJ1zzjnnXKn5ymGKaty4Nu3bx1demgtMIDYwBOjQIc9L97rNkp0Nt94KI0fC1lsvYsyYQYwcWRi37zWqEBjEmjWLEjtI55xzzjm3WTw4TGH9++eTm1tno49p0qQO/frlJ2hELt3l58OBB44CNt5CZfr0+VxyyajEDMo555xzzpULDw5TWE5OLcaP70pBQd46+7qysqCgII9x47qSk+Ndx135KCpawHvvlayFyrBhhRQVeQsV55xzzrlU4XsOU1xOTi2GDu1EUdECRo+eSmHhb+TlNaJt26aeSurK3YZbqGRjhZAGEk1rjrZQ6dbNGxw655xzzqUCDw7TROPGtenWrQWFhbXIy4vfi+hc+ShZC5XiPa/eQsU555xzLnV4WqlzrsS8hYpzzjnnXPrylUPnXIl5CxXnnHPOufTlK4fOuRLzFirOOeecc+nLg0PnXKl4CxXnnHPOufTkwaFzrlS8hYpzzjnnXHryPYfOuVLzFirOOeecc+nHg0PnXJl5CxXnnHPOufThaaXOOeecc8455zw4dM4555xzzjnnwaFzzjnnnHPOOTw4dM4555xzzjmHB4fOOeecc8455/Dg0DnnnHPOOecckBWJRMIeQ8qbPHnyHOC3sMfhnHPOOeecS1qN9ttvv23DHsTGeHDonHPOOeecc87TSp1zzjnnnHPOeXDonHPOOeeccw4PDp1zzjnnnHPO4cGhc84555xzzjk8OHTOOedcCYhIVthjcM45V7E8OHT/EZEzRGQbEfHXhUsoEakhIvWD7/0C1CWEiFQRka3DHkeyE5FTAFTVy5s751ya8yDAASAiewHPA7uq6pqwx+MyzgDgLfALUJcYIlIL+ALoFPZYkpmIHAT0FZF9wh5LOhGRaiLSwSfDKl50wtsnvl26i53s3JzPFn+jOABU9RtgINBdRKqHPZ505ieo9RoE/CMiAr56uDEiUjnme7/oKQMR2QoYB+wDtApu82O4fn8C04G9wN+b5ehi4HKgqx/TiqWqa0Rke+A8Ecn2453aRKRK2GNIYheLyFXB9w3L+kv8ZOhifQTsAmwBfhFQEUQkOzhRbScizUWkdthjShKFwI5Ae/DVww0JXj+rRKSSiNwLPC4iLXy1v+SCwPB/wLvApdjrDj+G66eqvwMvAjeJyI7+3iw3zwGfAydiQYufbytWAXCxqq5W1Ygf79QkIjVUdWWwJeA5EXlMRK4Le1zJQERqAAuAY0Tkd6BrcHupYz0PDt1/KxGq+hoQAW4N/u4XAeVMVVeLyN7AeGAU8IKItAt5WKEKAp45wM1AgYjsEvaYkpGIZAWvn0rAZGBvoD7wiYgcHe7oUkMQGH4LjFHVa7ATaa1wR5W8Yi4qhgM/ANGV/ezQBpXiosdUVf8G7gYUaIcHiOUq/jWqqo8CK0Xk1uDvfn2TYkTkcqBn8Dn+NtAAWAOcKiL9Qx1cElDVJcBQ7HO6FjA7uH1NaT9bPDjMUCJynohcAqCqq2Luug9o4Cta5Ssm/a8W0Ad4CGgDLATOEJGTQhxeQgXFZ1qLyA5gAXNw1/fAfIKVHE/zW1vMxcwjwCRVbQP0wI7b6yJybGiDSwHBxeKVwDuq2i24eQ6wg4jUjXlMRhORK0VkexGpGV1NVdXpwDzg2uDvqzf2O9z6xWSObC8i+wPZ2KTYd3iAWC6CrIpKwURawyCdNOpBYBcvQpV6gvfF9sCBwB3An8E58ErgauDgTA0Qo+et4BgtAq4DbgJOFJFrwK4fSnN+84uvDBTMnBUAV4rIp0GguENw90RsRSJjgpVECC4IGmKpu7OAp1T1e+AqYDnQORNWEEWkGvAkMAR4NXjt1QNQ1R+BKcADsRembh27Ae8F398CvIEd01eCisN1QxtZkhKRmkAX4BlVvTC4LRv4G6hJkEofDXpE5JJMLMAiIs2AbsBI4BkRaRm8Z8EuwCqLyDHBYz2IKYWYgKU5dp59FngZaI29j7/DUkx9D2IZBa/V14EjRGRL4HZgmoh0C4ruDQda4tc3KSV470SAa4AJwKHAQSJSV1WXAZ8CNwItROT5EIeacMGEUzSjqCtwEPb5/STwMXBkzB7Eauv/Levy4DDDiMgIYFfsw3Efik9I/xORc7GZzCuAk0WkTmgDTUOq+gewAjiLID1LVf/CPvAWA5eKyKHhjbBiBbO1nwMvYbPkb2AzgE+LyEPBif1R7MKpefAzGf0ZFVd8JnrB+AHwnYjcg72H78VOBmuwIheeLrWubsD1qloExSm62F7XOVh6LsF9g4ELgG9CGGdoROQT4CJV3QXoi6XcjsEma84D5mKFafYET8srrWCCsAn2uXcrdh5Yia3GHomtIH4LnIudk10pqepy7HPwAWyS+wosu+I4bN9sV+Ax4Ny4FUWXpESkcvDeyQ4+c+4EnsayjM4Ska2CdMoPsaysRiKSE+KQEyZmwqkSNrF+OTbhdC/QBMsyeh/IF5HPgI9FZIuS/O6MvvDKNCLyKlBHVU9X1RWquiBIrzoNe8Mdj63odMdS+zw43AwxS/3Vomm6qtoKeAd4WUSihTD+wi4MPsH2IqadYBb3S2Cyqo5S1Qmq2hc4GMuRPxD7ELsCm9ltC5ldJETWLj5zNTZ50FRV+wC/YJM8twZp4S2Bx4H2wV4mt7bPsVVCYK3AZjG2chjtsfk8sDuwX8xJN+2JyBtAJVXtAaCqL6nqBUBH4A8smOmPTW5dLyJNwxprKommL8a8jo4FPlDVJ7EqsKuxNLArsc/CW7AVxZEJH2yKi1nh7gwsxSYamwXH+kLs3HIhcAKwB5aB4ankSSz2HAg8JCJ3Am1VtT+2QtwGOF9EtlTVpdi1Vb6qzgxx2AkTs5ewAJioqnsCZ2N7MS8DdgL6Ya3CCoELgpXWTcqKRHzyLxMEs+GnAh1VdVhwW+XY/YYish2Qg6Vi7I69yaaGMd5UF8zorBGRPbFZnG2wzcHPq+prIjIKaAQcG+znWednEz/qihHssxwHLFLVQ4LbKgNrYv+dInImNilxGxYot4HMXKGIef1UAr4GlgFLgO2Azqr6PxF5HVvp/xM4E2ilqt+GNugkJiINsAql+cDXwf6LKtgqw0dY8NMBS/HbL6iGt9bnY7oSkWexVayqwYVYVWBl7PsuSFXuge35ORXrh5sRF2BlFUyIPQvcA3ynqktEpC9QGZvhn4itIg4FPsMCxctVdXDw82l1HkiEYB/ns9j5Iz+4+Uzg82CyZ2vgAKxK8U7A3n6Mk1OQ3REJzoFfYRkeEWwLwOOq+mKQLnkYNvH8kKouCm/E4QiuJfcHeqvqw8FtR2OfMb9hW5i+ih7Pkv5eDw4zgIi8jfU7+QA7ub+hqq8E92XBf5tVo2/GakCVTHyjlacghegzrMjPl9jszq5YQYxHROQDLEWrWVCtM+2IVRWbjH2oz8Jmc8eo6vyYx2THFrgI9oZ8H5zMS/WBlk6C9+ZLWFB9gYgcjwXOtbC0s22xC/UGwB1Br1LHeie+srG9Kleo6idxj30eOANLy2mZYYHhMOwieWusGmnn+M/92D0twYTFdqo6K4zxppJg8uE6oBM22doMW4XdBjgZOFxVOwSPHYkFiS94sZ+yCdLlhgMfq+rdwW39sD6mPYAvVXVlcHsWMAK4W1XHhTRkVwIi8hRQXVU7B8H/A9hEyjOq+ryI3IilEF+QCVkz8ZNGIrIblnX1HdBOVVcEtx+JTXpOBG4o6YphVEakzGSyYBm+tqruha1gzQZOE5GOsPaqTEyAuNwDw9ITq8JZM+amg4Fhqnq/qn6K7S35EDhJRLZW1aOwC4K0/EATkerYHppRqrortjn6aqBtMKsOrFv5UFW/CS5GszXDAkMRaS/FxaGqYCuFzwR/PxnbeP8l9rpZrqqXAqd5YFgsuCgfLyLjRGSoiHTFLs7/h+3RXGsvJzADO4G2yLDA8GVgN1XdH5u0agYMjUnPA9Z6f0bfi7MTN8rUIyLVRaQPsAqbkN0dW92vrqqL1PpGNgCqBo9/AXuvPx/93Atp6KmuMjZh9mP0BlW9BCgCngJax7zva2ET5jsmeIyu9LbFiqsAnIdNYn0PXC0ivVT1TuD8DAkMK0cDQxGpIyI7qxXya0WwtST6+a2qH2IVSx8qbWAIHhxmgpHBPjdUdQaWf1yEtU/4L0CMXUEMa6BpYDR2AR+Vi6WpARC8QZ/BZrmie+ouTuMLglXAXap6GYCq3oRV2eyJlVjecmM/nGkz6GIlp18HLhCRnbELxj+B34IZ8D1UtScwCdgFGBEcw4w6ThsTTEh0AO7HVhFWA6djqaP/h+2hI0ifjPZ3vQY4KHpbJgSGgYdUdXf473O/Bfa6ejM+QIx5jJ8jNu0ILA2uKrb37QRsP/BTIhJNdXwVq6g5CdgLOCGaRp5pn3tlFb8fOJjQngx0DNLIo14FdgCOD97jWVixjlwsZd8libhJu6hZwN8ici9wgKpehNXGqAEcLSI5sZlI6SpYuInWIPgYyyqaFExEVcEmPtsDjwar6KjqJ2qFEEvN00ozROxFj4gIVtWwMTZb+XqYY0sXwQfbFlglra7YbPy9wBC1TfHRx40G+qjq2FAGmgDrSRWtplZJDhG5CzgG6zk1QlUXhjTMpBJM1gzE9st8h6XPLMZOgkOAa1X1axG5CduD+Jyq+ipODBF5EpirqtfF3b4TllL/HDBVVU8Ibq8Sk2qWkXu8gompSBCc1MFWUX8GToq+Z13pBIHLU9gKVVeshPz1wOHAVar6kVi1zPrAt8EEYSZNTGyWmFTnRtjWjNpYmuhBwPnAr1ja4fci8gz2eu4Tl463TSasNqUKWXuf/V1YteSXVPWP4DPqNeBmVf1ORHoB+wHdMiEwjBVcP/6rqqeIyAFYEZ4BqnpDsJVpKtAvyCoqMw8OM1QQIF6IzTY8pKpvhjyklBW7Ly5IK/0LS//rBlyCVUWbjs30XIylb+2faTPEsRffItIbOAq7gBqsVoo6owUX5u9hq13TsdSZQVgLgSnAYCALe10dptYn08UQ6+Gaq6pnxU5IxNzfGDvG81T1oBCGmLRiLs7qYHulF2D74jxALIGYPfv1VXW2iLTHCv3MwbYUANxAcaGUN1T1+uBnszPtfLC5xIq9jcJW/6pjq97dsT20h2FZPJ9hk0J7BKsu2VghtIhk8H72ZBPz3snCWgjNwVZ7C7E6BR9jW3K2xDJCegKHqup34Yw4HMH15WvYVpJ/goyig7FsmcNU9TkR2QXIVlXdnOfytNI0I3HNc+P/HhW8cJ4GvsBSMVwZRPfFiUhtEclV1cXYyWh3bOXnMWx/WB52YZCNFb1Iy1TSDb3e4L+yy5WC72/A0iMP9MDwv5X9+RTvS/0S+9A/F+uFdhtwSHDbMR4Yrk2swibAv8DO8F/Ps7Wo9Tk8Dpgen5aWSdb32ROT1jgf28NSFdvz6jYh9jwA9BORvqr6BpZOmgPcje3ZvAN4GGutckv05z0wLJ0gffwu4H5VPVFVj8aCwibAQFU9Fat2fSVW8G1VNAD39OjkEpz7ov8XO2KtXo7EznUrsQn2g7Hes19j11JHZEJguJ7P6WxspbytiDwGHIrtNdwFuFVEaqnqz5sbGIKvHKaVssw+xqZVudKJmWnfC0sHbALco6oPiLVv+ArbHH+aqi6KS61MuxSiuJWHWhvKdY9bQczY2VsROR/4SWOqZ4rIvsCNQC9sguFyYCzwgKouFJEtyrK5PF0FF4l1sYquC0TkIOBKVe24gcfHV3rLiFRSEemBBXtLgCeje6/W996TuOqkCR9sion53NsD6xfcBJsgfFJVrxWR47DV/hlYX9KZMT+bdueBRAjOrx8CF6vqpGDv5jfYJNqzwMmq+k/M431lNgnFpZIOxib2qmJ7cP8UkfrYBMsKrCXDmEy5Zo35HM7C+kAvDFJqrwPOwToK7Bw89hosgO5UXpkeHhymidgTOrZaVRNrOP5gcH/GXoRXJBHJxRrXXw2MVtW5wbL+fGy/2ARsxvhAtSatafl/EfP62w6rLPYt8IhuoOR9pgeIwYd5H+y1cTNQqMX9R6/Filq0xXp0dcf6od3nF5LFgj2+g7E0velYoa0tsX1HHbBCBoXA6kze1yoib2ErgNODr+NU9drgvox771UEEWmIfdbfiq36H4m9f79W1V5BgHgD8LYGbRZcya0vuBORl7Dsk7OwPpJnxkzUHuHp0Mkt9v9URD7BUklnAEdjtRpGquocEdkWKyr0F1aVdGlYY0604Hr+O2wFdVcsKPwA6Iud634ClmPblY5W1XIrsOTBYRqR4obZhdiet+dV9d+YfG6fpdxMIlIDuF1Vrwr+fjLWv/BCLK3leawozQqsx9Xn2L6xU9N1Fj7m9bUnlsazP5bmcA82ez491AEmIRE5BitUcSB2gbMMO2YXBN+fDryqqj+KyDlYqs3vYY03WQV7p6tjffoOxcqe98AuMhZhk2SrsKqvz6jqUyENNRQiMhzYVlVbBTPQl2DpyacCXhmzjILzQEesL2FERFpjvUYPC+7fAmiHFaEZpqq3i0gLYIoGfchcycSsLu2GnWtnAq8E3z+CBeVtg8nJV7D3fDuf9Eh+wWfS6Vhgc05w283AsdgK8BvBhHtdrBVM2l9LxAXN5wMHYJ/b52DdBk7D9s0fgfVQLQReL++tJh4cpjhZuwrpudiHZMfgTdcby8/eBjjSLwQ2n4gche0hGYbN2ByErdQuBrbCZnnuxFaFPlbV+2N+Nm1TW0QkB5uY6INtGD8C2zQ+FAsQZ27kxzNOMJFzBNAZ67d1IXAplpIGllI6TFV7hTPC5LaxFS8ReRVLORuMpdo0DP7ckUmTY2JVGg9T1dyY247HZuHHYIWxzlXVTz2FtHRE5Crgd+yzLoJdwL2MFUOKVr+tjbVQ2Rp4OdhnndbngYoiIk2x+gjfYJVfZ2JBRVesfH8trF9wA6zdwUpfFU9OsnYBv4OAF7FVsE6q+nFw+y3Y+XEYVrF0XkjDTai4NNtO2L7Zz6KTmsE1/pPA2ar6fEWOxYPDFBaXSnoY1gT2Bezkvy+2ubc3ls7ylKr2Dm2waUSsyfaTQE1V/T+xqnRbAn+r6sjgMcOxWeJbMuHCK9gr94CqHh5z28nYqumjwOOq+ldIw0sqMSutlbDS9pdjq1xnAY2wKq73AtOC7xf4Rc6mxRzXL4HhqtpnPY/JiAtzEdkKeBNbQX1YVb8UkR2A/2FB81AsFelQoKmn4JWOWAGkSsAT2DF9GGtBs0xV28Q87gUskGkGPKaqI0IYbkqK23N1FrYCfr+IHAZchlVuPg1LlW6OZeuMUW8LkrTW9/8SXDsMAMZh7Zm+DW6/Fyu+cpqqLkj4YBMs7vX+E7bg0ACrS3BozOPOxq6rzlHV5ypqPBlbrS3VBRdC0RfSh9jKw9dYBdJtsQ/JnYMZh5FYWXK3mYILrHbYMd1GRAYCb0ZncUTkChF5AxCsMh3pGBjKupUelwF7BXtroh90w7G02m7A6UEqVkaSmOa+0cAweF18jPV73BpLlZqjqk9gF+3Hq+p8DwyLxb/uZO3quNHvP8NW8f+r9hZ9XIYEhpVU9V/sgroGcLGInI6tvDysqj1VdTxWvOMP7LXnNkFEKotIVRHZIUgNXQ3Mxnq2noelM28pIt+KyI0i8jbQFKtUWh2bsHUlEHN9sxfWAupsiivnjseC8Qg2Eb5MVd9S1XeCn8n2wDA5aVA1VkReFpF3ROQS4AdsgrQVcLaINAseezVwZiYEhmDnpuA8VYClie4NtAZ2EJE3Yx73LHAGlk5dYTw4TFExF4zXATVU9VRVnROkrnQBXhORXUWkG5Z+8WFYY00zvbDGq0OB+7B9YoOCN7VgFwCzgD21uK9SWglOvmtEZAcRaSMie6rqD1hw838ickDMRXgRVkzlGuyDLuNEL1ZEpJKInAnFEwbB10+A+7HP47dEZCtV/VZVZ4Q36uQUvO52EpELgr9HYu8Lvp0BHBzMUq+Of1y60+KWFH9gAUttbPX+A1W9K+ahJ2KvOa9+uwkisiXwOjYp+J2IPAccFew9/xKbMDwYa5MyHKug+yvWi20eti8omkq3wXY/bq0MgB2wc8dKrMpuBxE5IQj8xmKTalthxeAyagIo1YjI02I9aMFSratgldzPwKpzf4NtQ2kJXCoieQCqOjfxow3VpcAQ7PMj2nLuGGBvEXk9+iBVHayqhRU5EA8OU0zsiUWsUmYjYE+xUuVRNbGCA+9gm1iPqegXUrpazwrZrcCOInK6qr6DzWBuj22Mf0BVz1DVizSmr1KCh1yhgovO1WLFZ6ZgactfBymkz2Az5PeJyFNiVRJbqeqFWIpb59AGHpK4Ff53sIvI+PujAeJArCKbr+RsQHAcj8H6PG2xgQvtLCzFO6NWD0TkMrFCR7GTD39gK/djgYiIHB489kJsu0G3YJXRbUCQovsVNnO/0hUAACAASURBVOlwC5bKWBO4MZikuBNLLT0B2/92s6r2xLJ4dhYrPX8adtGXURMVZREEhvWxY/2sqnbBVpZeBG4TkWixmXHB7b2iPxfWmN0mvYu9X/oB36pqR1W9HOiP1W24HgsQr8faWfwd2kgTKH7xQFUfxlp3dBKRaL/eX7DtJ23EKvQmhO85TCEbyNeugaUv7gM8oaqvBLfXw4L/FZmyLF9RxNozLFbVRcHfbwbqqeqlYn3WjgZux1IB7pQ03wgvVnzmASxl9AkspephLB1iIlaBsw22gnpHECgPAOYHK9sZJ7hAPAVooVYsYX2l2SsBW6jqklAGmaTi9+yKyN5YoYJLVHXUeh5fA1geDcrT+b0YJSKdsJX7RVga3iKsRUq2Wo/Vxth7dB62N6sTtvL1VTgjTg3BiuEk4D1V7RFz+07AudiF7Z3Y6uFNWAuLvqr6uojcjxWqiQCXajmWmU9XwWRPNLXuHmC2qh4Y3NcUS5Vui7X1eTXm59J+X38qik6uB9kMJ2IrwbOAvVV1TvCYLtjkSSE2YbVGM6CXr6xdM6QLUE1VBwb3vYhlIRwQBIeISCOgqqpOTcT4PDhMEXEvpKexVKHa2An/S2xJvjkwKPZD022e4OLgSaz8+wXYDHF17Jh3UtWPxcqW7wd8nu4nKBHZGuuxsz9weHTiIUhffgTbJP1isMcuF9gNa/FxG9Bay7nccrKStfs45mCz2xdgFzW3xz/GbZyI5KjqTCmu5nY1Vu68s67dVDy2El7GHN8gIL4F62W4GAtcVgI/Y+eEz8SqZ74K7IVVtfZgZSPECo9NAmaq6rExt60KVrcaY595s1T1/OBccRrwtBaXot8CyNIM6s1WFut7r4rIKdhrepQWt47aBUuV3kpVz8mUyZ9UJGsXWImuCB8BvA9cpUEP7uCxF2JB//nRoDGdydpVSb/BUvsbYi2XjlbVv4MA8UjsOuunRI/Rg8MUErzJvsBmWEZhy+99sMpdg7EL0MOAe1X1jbDGmerWs1KxLXARFiBugVXWaoa9mbvHrvSk4wXpegKdrlj6xx2qek/M487HUiKOx9Ik84PH/Q7climrFNEV/uD9uiOWIrMCOxZHAIPVis6k5eulvMQcx2rYivR8bD/X01jq7QPA/WqVONMuhbs0xKpnPollOFwc3FaIlfivi+2Vm4idJ1DVP0MaakoJ9hbuir13v4gGeTH74k7Esif2iZukqKrez7BEYoKIXbFJjZrYNc5gLGC4GJt47RU8fkfgTw8Kk1fcYsbD2MJFf1V9Vay6+1DgBlW9O+ZntlbVf0IacsIF1wfXAw1U9ZJgcmk09vo/UlXnB1tzdgfyNGiRkygeHCY5EWkY7BtBRNoAN6pq65j784ERWHXD6diF+yD1htllEneiOhrbTzgEq6i1DRZ834VVf90LKwOftsc65ng0wPo7zlXVP0TkSmwz+dOq2i/m8ScBb2tx783KQOVMSBOBtY5XNlaJtCrwL5Z2PBG4FqvK9qpmWEP20og5jntie+buCL7ui50sL8KKcc1V1f8Lb6TJI0i7ewtLUToFa4NyEJbamI+tah2g3lJmk2TtRtRPAi2wydePg7TwKsHXo4AeqnpymONNdSKyOzah+BqWEn0uNhF0H7Zl5lLgG7X969Gf8VXDJBYEhpOx1fcp2Dkvmkp6OBYI3auqt4Q2yAQTkT6qel3w/SVY6v89qto3uC0b20tbGThOVeeJyPZhfGZ7cJjEghfPIdiL56sgOLwHW31YhKWrrBSR0cBHqnqvz1huvpgT1WCs4E8VrFdVT1X9N9iDuC9WfKBbuq5YxKQ+NMc+yH8F6gAXqjXOvgKrhDtIVQfE/WxlYHUmnryDk+InWJ/CV7BApgEQrWx4NVYpcoBaWWoXIy4wfAeoj/URXYXto74Zy5rYDgt+2qnqB2GNNwwiciC2IlgUTdUOVljvw1ZbZmFl4H8N7svG9qt4emMJrSdA3B97746LWUF8FkBVzw5pmCktWD2pghUm+V1V7whu3x74FJtovFSs+XdL4KJMPKekomAv4Smqmh/8vTcW6M/Hqpfvi/XrE82AJvfBPuUeMSvgu2MVdxsDh0UzD4Lrhx+wNjmHh5VZ5NVKk9t07IPzfLHeL1Ox1gknq+qqmGXmhUD0pJ/Qped0IiJVgpPVlcCTqnpZMCO8P5YLXklEaqrqLFUdraoXxKwSpZ0gMMzFNpHfiaUvK/CciBymqg9gFeSuFZGCuJ9dlSkn8eDDPBoQgxX7WK6qXVR1NHYynIc1tm+OXcC/jreXWYcUV8NtjpU8fw6beW4avKZWqOqN2EpsX+wEelx4I048EXkV207wBHZuEAC1RvafYIHz1ar6a/SzSVVXe2C4cSJSS0ROi/499rNdVc/HXof3YUEKIvIMdrF7fvB3b1FRCkHaeCSYzN4aiPYkrRKslHTB+uPmYKtOFwapvH6ck5CsW9l9AVBVrI3FWKyC/odY5ke+qr4F7JwJgSGAqv6uqr1E5B4RmaLW/usi4DvgJbGCM9FK03nAWWFuOfHgMAlJcYWn6P6aBljJ5qVYZchBInKNiJwoIt2x9Md3gp/JiAvy8iJWDv81EakWBNvZWPrkxOD+ycAYrPDAG1hxlbWk28ph3If8scCEYGVwFrAcOzZPi0hLoB+WbjU84QNNAmIFKgaISAMtriRcF2tJgYi8gKWW3ghsC3yArXTdk87pyGUVTEg0wVJr7lHV64Fq2CRZrJ+CwLstVvZ7vwQPNRRiva52Iqhkh+3l1ej9qvo6NvFwTBDY+H7WkjsX6A7Fgd56AsSJwD3Bxe6+wP5aXH3Yz72bEATgfYLX8aMicmxw179Y24/qMZPec7AL5xUaVAoHv8ZJRkGgv0ZEskSkaZBd9TG2oLEq+F5U9X7ga+xcCFY8K62tZ/HgRWCJiLwTZHZci00ePynF7SsiqlqU2JGuzYPDJCPFDcajAeIobLYyB5st//L/27vvcLnKqo3DvxMIJZSE3ntZoFRBQD5BehMQARXQKIhIlxJBqvSiKIIoVelFmtJCDVWaoUkTHqQJoRt6IIGU74/1DtkcA4SQzJ4z89zXxZUze2ZOXk7mzOy131XIYHBjMmDciCxebUp72zY0ObAEcHdJyR1JFsP/LCIeAu6X9ANy92cmMjhqW6WOY3RELBwRq5D/z09Fjuy4jHyzP4C80ns3OUPzwnbeQf0MjRPwuyLihYhYg7w6enxEbEqeQPaXdB9Zf3EsWX9hFd12AxYBfiLpmHJ7ONn1tvHY/YDFy3vk88BTQJ9mrbUuEdGogV5Z0ghJQ4AZI2eKnh8Rp5aH3kruXrsm6/N5E5i17Fx99HMbR4Ao8mJFIzCcvN0uEE4KkfMi7yXTxO8lf28bnSmPIc9pfhsRK0U2WNqbzITyKK4WVs5ZR5bfkTvJHg0XkzOOdyx1oucBX46I3clynEth7DzWdtV4b4iIXhGxYUSsI+lhoD/53n1dOXffDxgFHFfJQKqVg8MWEh/v8HRERJwSEceSw3f3IwPE/cngZRXy6vHmckvyCVauSK5E1nA+UOp2TiZ/UfuQH1AAZ5IfUs82f5XNUVL6xpSrfjeRnQ4vIvPidwBek3RgeTO7lmwQckPj+Z14gqRstHMwuZszA/CYpMfIkSezkRcXRkXEz4AlyTpDfdL360SNXZeImDUilgBuUHa1a1xsGEW+FhvdI3cAVE4sVidT7V+qY+1NNi3wbvlZLRUROwGPkq+9t4ElIuIgclzFaDLjxD5D5WTsJvI9fvruj+kWIP6IDNAbgeHI7o+3jysZFheTv9vbSjpK0m8k3V8+d0SOg/oSmS59M/l7vUH1Yrm1Ho0dV3EjeW66I5k5c2hEbF0eNoDsZP4DYHVJj9ex1mYqr+uRMbYxzy+BiyLij5KeJPs1zBARA8vtnYGdWuX9xA1pWkx5Id1L/pI9S7bC35zscDiKnBc3nEy58g7EBIr/HVcxDRno9CHTtZYna0k2JHfI+pFvah92f247KWkNFwD/lLRD5fiBZC3T7mTzgHnJYukxnXiCFNkQZGby6vdL5JzRGcid/I0kPVJ2Xm8lX1crkq+fjhjnMb5ibNOjpchOm++Qu/lrqYxbiIjjyGB7RbJB1/KN1LNyMWcmdUAHzhI4P0Q2h5qTHK5+gaRjSuByIDCjsoHHVOqQDsETqvv7VmQr+fuA3UrK8rieUx3r453Z8RQ5DupEspnZ69Ft9Exkc7N3yJS7uchU8sfKe0PHfb70NJFd8wdIWrPcPp3MOpqV3NC4hSyvmEplNnInKEHzQLJnxc/IsrDjybEeu5YSioHAvyRtWt9K/1dLbF/axz5otgZel/T9yn1DyBOCJciraluR9V82ASo7tHOTJ1mzSBpY3uAuA+4CVpJ0R0SsTHYqfbZdP6i6neQMJQO/+SLi15KeLscHk2/yC5EppV8tgWFXu/08PktkQ5BZyflnfwWOlXRQRMxI7jpcFREbKju6rkTWVzxadw1BK6rUGF5NfmheSf5Mr4iITZRjfEaQO/eDqaTyAaOVTVjaPjAEKBccViVTki4m6y7vjLFNfPqQtSxdtHn6+xdV0uQvjYi+5InrQ+SFnhspdZrjughYve3A8HNZHFibDPrGlWUyP3mR5zTgycbBxu5LsxZp42ccvxuzU9J/Y2yd/T5k+ujVwKGSjiQ3NtpWeV8ZU7kwtwgwq8Z2bF2Q7NPwo4gYTmamfYsWfL92cNgCul3lnZpSpFuuin9ANkPZEPiapKsi4nZVCrRt/FUCw8ZOxT/JdKydyXqwzYDLgXsiYgVJd1ae23YfVJWfR1+gr6TnImIx8gr6iRGxuaR3JV1XfmZTkYHOqHYMlD9LZCOFOYHVyKBvmKQ3AMoV8R2Bk4BrI+IyYKg6aI7T+Op2cvE94LKyA7YAudu6CjCo1Nm9QJ5gbFLSdDruddcg6XayWQ8RMVU5Nrq8f/0YWMVBy3jpS76mFiUDky2B18ka4bki4l7ljLG2zRJpsmfJ9vzzU0kBr+wgDiPnCH+Mf/atp/r+GxEzlM+/S4F7I+KbwDLkRbwREXE/cHa5vxMcCzwbEceQadIjgefL+dVx5IX39cmLyAPI7KPtWvHzzGmlNYqIw8gTzWXJ1uSXkCdKZwJLV2uTIuIm4DhJVzid5fMrNQ9TSBpWUkivAy6RdFy54v4ume99ckRMSwZHgyX1r3HZk1S3lL4/k6mzlynbLU9PBs6Pk7OK3hnXc5u/6vqUQOUwst5oTDm2EDmMfRrgLUk7lJP2X5JXyndQNqOxovK6W4i8QLkJOU90d7Lh1qXACeSYiseBXcnZcm25cz8hImJ+Ml35SbKpxxpkF9z761xXqysXXBclO2BWP19nJNN0tyRr0IcDB0h61Z+3E0dE3Exe/F6ve2phRFwMPCjp8FoWZ+Mlspvs+yWN/Rqyrvku4ORSP7oVOYJhvcg6+13I8pOOyO4opSQ3kzuBR0k6vGSo9SWb8qwm6c2I+BXwHHCtpKfqW/Enc5FvTcquwhrAIEqtjbJ97V/IvPvbI2LViFggIn5CpmX8E5zO8nmVqzYDga+WQ33Kf6eX2zeS89RujYg/l13ZZckU37ZVTrYXI08yLyFnGe4YEcdIepu8ArgwcFNJl/jYc5u+4Pp9WkOQt4AlSyrucOUIhlUcGH5cJTCcn+xstyL5/ncAmbb8YjlBHEmmeN/E2MCw7Xbuv4Ch5O/rs2RN9GoODD9dueB1B/n5eltEnFC5+01JbyhH9gwk64f/GBH9/Hn7xcTYZjIbkRcgr42Ib0TEPBExc+S8yEWBo2tbpH2mshs2qFw8/wt58e5Q8hxh54j4KnAbsE5E/B04iLyw3PaBYSlzQNLfyWB5SkoKrbKr9GRk07D/i4gBZO3hVa0aGIJ3DmsREYcCq0pa7RPun50MTHYHniB3Jbbzh//nF2ObDNysbKnc2EW8grzy9SOyGLh/qef5NXlS32h48bHC+Z6u7JpuKumc8ob2G/KE/NcRMS/ZNGB14CxJO5UTqlOBrTo0IPxIjF9DkH6Sdq9xmS2vvM72BqaRtE3l+D5kjcYuZGru9MBmJRjvuJ1qm3hi7BiF68nUr5WA35Kpyv8oj/lohzAifkQGLAf6dffFVS4KTUPWFPcBlgb+TmYPbKix8yLb5vO2nUTEzGRjsOfIcS47lH+zZcmO3W8BR5C1h18CnlIHzPKtvLYnJ0uS7iPPEf4OHC7p4BJQ/41sKrkIOWWgpZvTeeewyUqzgLnJKy6NNJeP7oscLH60pKOBb5DzqtZxYPj5lV/IO4DHuwWGo8hhxgPI5j+N1NFdgGc0dghvW41nKCdIDwMLApRdmAAaM4ouKv9tDOwQEeeTTQK2kNuJI+kRYFVgCNk8ZZcSGPYqr5M+wPvl97jr075XJ4mc8TRZ2cGH7Hq7PrBiRCxfeegwxp4wLkledW40PfIJuk2Q8r53D3CjpF2UTbYGU5mzF2PH+PQGkHSWpP39vvf5xDhm3cbY2bm9JA2TtC6wBdlHYSdgfXleZEuLiFkk/RdYitz93Ya8eEIJcg4hP/+OAuaWdHMnBIbwsSyq35Hjvn4p6S5yp/yAiDikZKPtTo75+GqrB4bgncOmqwQsB0m6rHs9Q7lieQywoNx0ZoJVTgjmJlMgTgIeaHz4lCuYvyXf6OYiUyQWZmw3xLaqMymvu8HAIEk/qxxfEfgPebFieklbRMSXyRrEwcDuPjEft6g0kopsCHIIuev8WL0rax1l5/5UsuZifuBgSRdV6jdvBc5o1H+V1KQpgLvVoU2PbOIpF18fBB6S9N3K8TXIrImdyZ2QV/w6+2JibHOzIOfZzU12qXym+2PG8VxnBrSgiDiSfN9eAThB0vHlIt99ZEnFDxr9CMq5xK7A3p2QSgpjsw0iYj8yVfRCSftW7l+HnAl9Vzm0gaS3aljq5+YrYs03mixWXQayfrBxZb3c/zh5RdP/NhOoBEIPklv8fcngb2/yDQ4AScOAPckThLPIOpTlKlcw2ykwnI6s75oBOLl6n6R/SHqZfL016uP2JhuD7OYr5+NWauYejohrIuJssinNOg4Mx6qkdL9Dpmv/hnx/Q9IgssZoFWCbiFi8HL9H0h3lJHMyn7DbF7QQ8DQwTUTMAxAR3yXTvhYhLxA+DQyOiDsiYt3aVtrDaWwX8FvJz9wHq4Fh4zGf8FwHhi2m9MX4Ojle6CBypBcluPkqmeVxYTnfoqRnb9sJgWHjnKhynngVmfGyWkRs1HicpOvJFPabyBmfPSIwBO8c1qJ8OP2JfLFc0O2+fcg2+ZtKeq+G5fV4ZfdhE0n7l9vzkDthrwPHly3/T3puW9U8lB3UB8h00neB94HzJd1c7m+MszkMWIeso5sKWLYEyr6iOw4l8NmUfON/GLhe0pOf/qzOUT48zyEbfezc7b5qbdcqwJFkLefRyrmGZhNNKdXYlRw9cyVZH7UD2VVwBrLZ24LA8sA27fT+3wyV3ZMpyLEF10o6s+ww/YJMI79M0oW1LtTGW9kJW1vS6p/ymMYO4ktkB9phzVpfnRrZLKV0ZEXgPTL7qjdZzzwF2bPhmspzetx5lIPDGkS2ut+PzLc/AriQ3LnZjGyBv7qkh+pbYfuIiCmV83bmJEeEvE6OBLm73N9W6aNV5QT9enJY9k4RsQx5BfANMpXv75XHzkcWkc8FnKkOnydnX0xJ274Q2Ec5vL23xjZ56kWODFhH0o8iYguyvnqndv1dtOYpr73ZgP8quy43LhjuSY6K2lbSGZ/03t9uFwgnpUozjnnJmcynkJ2GbyIDw6fJjro/BBYu9Z7W4iLiT2QJyl+6nweUkoAfS9qqNKm5CfhmJ1zYq1wI6UVmYw0HpiOb8fyWnChwJNmd9GJJl9e22C/IwWFNImfrbUmmVv2XbHP7IbCzpAfrXFu7qXyAzQmcQbaBP0XSrTUvbZKLiDmraR6lAch+ZEexjwWI3Z7nEySbYBExB7kz811JD3W/choR+wLbAaFKA6h2vlhjk14pzxgEzEO21X+InME2PCIWJXcNZySbST3pC2ATrnKivCC5g7QV+blyDjle5XGVuYURcSWwh7MrWlsJeqYmA779JQ0ax3v3CmRgtLikf/fEXbEJ0S3j5QxgyhIgz0b+vP4jaYNyoeQ48jxz9566o+paoppIek/Sn8ndms3IQHFDB4YTptolrXuNnMZ2SnuRHBGyGLBmc1dYj0Zg2Pj5SLqXvLLVD9i6pPWN63kODO2LeJ9MT14Pxv4OltQzgMfIE/ePvc4cGNoXNBp4gaxzvYrsEHheRJxCXuU/nWzDf2pELOLAcMKVwHBW4A/khcZrSsnGkmRXxgsBIuI8YHZyF9FamKTRJZh5jfw3rL539yrnViPJngSvNO6vbcFNEBEzRsQclR1DyPFy55Svf0V22t6mNPAZRo61OqinBobg4LB2kl6T9C9JT0t6s+719FSlGH7RiFiuvJl1dbu/ESC+BKxNXkHuGNVgrxIg9gX2iIila1uYtaXyXnYwsG9EbFmOjZb0QXnIFmTaX1ufWFjzVK7sH0R2n35M0vzAxeQu9aVkd9KR5IntbjUttccrgUIX8BWyFGHdymfuh8DMwMCI+AfZBXxlNzdrfZV/n9OAGSNiQFRGCZU/v0Fe/OsU3wH+WprQfaccmw1YOCKOI38HViEvuG8CfCjp0Z7emGfyz36IWY/xHWDTiFhjXF2hKgHiUOiZRcITi6R7I+JYctbUw3Wvx9rSRWSjj5MiYgEy3W848HMyY+Ir4FRSmzgqr6G3yR3pZckd6l3JevPrgOXI199e5Fwy+xwan5mVz81rI+J9Mo3uvIjoX+rVh5CfLZOT6aWjncLb+ir/rreSnUrXByIi9gbmiog1gQOANRr1vB3gJrJJ5ENkR9ILgRPKn69KmgM+qsUcRtYb9niuObQeq/tJZUR8hWzoc7Ckf7pubvx1cqBsk05pvvVtcgbkaOB5sinUD0o3XP+O2kQXEd8jx6e8S+4gbl65b4lybJTf98ZfpXY/gG0pO7DK2XfrAAPIHdmtu/9M/XPuOSr/zjOQO2E/JXeHXyB3DPfohPKnbjWGV5GdSe8DfiTplYjYETie7IQ/HbAGWRp2f11rnpgcHFqPVtopT17ZDbyELBTe6NOfaWbNUn5PpyY7Gr5R6jccGNokETnC5xLg7UZg2Eh7rJzw+fX3OZXA8HYyK+Apchf2bmB7xu7KDgc2cjZAa6t2kB7Hfd2b0CwFvAiM7ITyp6iMqyifVQsBXcChZP3s1pKei4jVyJmPw2izcVYODq1HKh/0fcmOdI8At0g6tXSKOgk4SdJVda7RzMbNqaQ2qUXEUcD6kpYpt/2a+wLKZ+7RwBhJ+5RjDwJ3AYdIeikiNiZ3UPb0TmHri5xzfCh5LnWypIe73d8Ijjrmd6eyc9qLTD1/G7hH0hWlP8N+ZE3tekA/Sa/VuNxJxsXB1qNUupJ2lStYu5GzZX5duqJtRKY/zFPTEs3sM3TKiYY1X6UxyiHAiIjYCfyamxCNBiURMXX5+fUBRkZE74h4AHhI0g7ADaXm6hpJu7v5TOuKiONKEA8Z2K9E1oDfEhEbVJv5NX5nOuV3p+wYNhoaPgAsAawK7BIRu5d02sPJgPFF4OWImL17A8R24J1D6zEaaUAR8SVyoPE7wNmSHiidpAaQud8/JFsxf0tl2L2ZmXWGcrLWG7gMeFDSvjUvqccqc9xOA7YhZxmuB8wBPCqpf9l9upOsxXqsvpXaZ4mIqcmdwh8AZ5MlOQPKfUeR507bkUF+RwYH5b1jY7J+cLuI6EemTa8KXCfp9xExI7ABuaOoGpc7yfjKjvUIZat/VGkmcAdZv7QYcHFErCrpWWBv4GfAL4AngXUbz61n1WZm1mySxpSxKTuS3RXtc+i2e/QKmYlzIHAy2bJ/buCg0nDqVLI77BM1LNU+B0nvA0eQjVR2BBat3LcvcD5ZlvOtdtwN+yQR8fOIWLDc3I8cfzN3RExXMtROIy+ArBUR+0l6XdK57RoYgncOrcV16xjVj7wSfH6pL/wuGRDOAGwj6bbK8zYD9gVWl/RODUs3M7MW4OYzn1/kgPvZJD0cEUsCRwH7AP8hZ0ZORu7Ovk/usnzorqStqfsYkYjoTV40+QX5bzeoct+J5OiGr6oHD3EfXxFxJTCvpKUrx44nx3j8FLhL0ojSvfXnwELATpJer2XBTeLg0FpWRPQhg78TJA0tHeiuAfoDL5GB4vXAkuQQ0r0k/bU8txfwILC9pDvrWL+ZmVlPUj47pwHuIcdVHAX8hdw1fFbSEWXHcBYyQHzOcwxbV6UcpxcZ3PQiy3FejIjDgR8D20kaWHnOrJJerWnJTRMRlwEzS/r6OO47B1icPAe9owSI/YDJGt3x25nT7ayVLU0OMR5WWmh3kSmlbwIDgSGSfku21O4CdouIrlIDsSEwEzCklpWbmZn1EI3yizLk/h1yXMVswFlkqt0zwD4R8XVJwyU9L+nZRvMZB4atp1KO04ts3LdJ+W9wRMwl6QDgT8DJEbFp5alt2YGzqgSGs1YDw4hYoMwvRFJ/4FEyDXe1iJhC0pudEBiCg0NrQRExdSmOvpecVXUqsD/QR9LejE1l2a88ZXHKL3CpNRlJdppaXtJzTf8fMDMz60FKkDdHRKxXDv0aOAHYlaw5nJn87N2pzC392HObulj7VJWZno1/l7PJ9MiVyZ2wEcA/ImI+Sb8kaw2PjIhpO2FsRUScBKxafh6NY/ORmw+zN45J+hG5wbAfMHmz11knp5VaSym7fpuTw7KvJi9grALsBDxHFku/Qha/n0vmf88DLFeGlrq2xMzMbDyVYKIL+CPZ6O1lYGuyK/hMZK3hl8kU0ymAtds9gOipImJKYCZJL5bbkwM3AvtIuisi/kT++34JWBb4Npl9NUUn7IqV1NC9ya67h0v6awkMbydnPR5ReewcZX7n7JJermnJtfDOobWMUiR9pCXfCgAAHYpJREFUPvByqR08GTiD/KU9Dpif7LD1AVl3OB05a2Z5B4ZmZmbjrzI3eOqyy3QgsBc5z/B68vN1G2A3SQ9K2gBYpzEYvZZF22fZk5w7OU9EbAPMBzwCvBARJ5A9Gg4m+zfMB1wIjOmEwBCgdB/9I5k2vX9E7AncDJzaLTD8GXBhRPTttMAQvHNoLSYirgU+kLRxRGwJbAq8Qb7hfZUsqH4GOLJxZaw8z8XwZmZm46HRWbR0Iv09MD1Za3a5pJMiYltgAeD75Oiob0q6r/rcutZuny4i/kGeL10kaYuyWzaK7DJ7gKTBEXEAOSv6Ikkv1bjcWkTEXORcxwHAnZI2rty3E3AksGbjNd9pvHNoLaEyi/AoYKpSLH0BOW9mZuBYYDDwG/IDa5+IWKw8t8uBoZmZ2WerBIYLADcAV5E7hPcA34yIQ8msnWPJequ7yTp+wDWGrSgijo2IX5Wbz5AX1SMiZii7ZVOT2VbfjoijyQvtgzoxMASQ9ALZbOm3wJwR8X34KDA8nByD1pGBITg4tNbR2MJ+CJiDTB9F0kVkqulM5C/x/WSK6bzANhExvWsfzMzMPl0ZQVEN7r4CDJT0W0kPAQcBV5J1/guWYd8XSNqkBJOTjfs7W51KXeHjwPcj4ieStpA0E9m479aImLOMprgAWBhYnmzg92h9q26O7unP1dsl++xsckd1l4i4FDgEWEvSA3QwB4dWm4joHRHzAzQCPElvkDUP3yjjK5B0CXAeWSi/vaQbyLlLa5GpMGZmZvbpLoiIeyq3FwTWiogp4KOg8RxgEaDa4r/R/dI1/S2oZE6dTTYOOjwiDizHVwaGAdeXf+NBwL5kivA/61pvs5TxE2PK19PB2HPNymv6BfJnNwhYjqypvb+eFbcOB4dWi5JGeh5wRUTsEhFzVO5+BviQbEADQGlQczDwu3JoDFlY7fQWMzOzT1DGQy0I7A5MV2r7Ics2ngR2rpwsv0fOxPuoCYezc1pTdSe3zJ48l+zEuX2pKUTS14DhwPNk45X3JI2oY73NFBG9JX0QEVNGxF+Bv0bE7xv3V5sqlQDxj2TX+47eMWxwQxqrTUQsCqxL1jTcT46q+LmkYRGxK7Ad8HVJb4/juTMDM0t6vJlrNjMz6ykiYnpymPdBkk6PiLnJIOEJYGOyIcc3gKFk2mF/cszBct4pbF2N7uzlQvu2ZD3hY2RvhrXJOZWnSjq8PH5z4H5JT9e15maJiAHA6mRDw7OAaci62qPIGtstqzuIvvjxvxwcWu0iYh4yhWVXcsjuHeRcnnWB0yQ92O3xHllhZmb2KUpgOBi4VdL2leNzkyOi7gG2AtYBdiA7Wr4F/ETSh/6sbW0lMLyX7DL7JllqczrZp2ExMhg6V9IBtS2yiSJiGuA9YENgF3Jw/XOStin3zwncB9wGbOGg8JM5OLSWUsZXLAVsD/QDDpN0UL2rMjMz6zlKjdX9wHWSdqkcn0XSayVAvA14UNK3y31TSPqgfO3xUC0uIg4BFpW0Zbm9InAicI2kAyLip2Qq8SrA6+0eDEXED8i5jaOBjcjzyK8CC0l6qzxmHvLCyGPABu68O24ODq0ldN/aj4hlyV/q0/0BZWZmNn4iYmpy9MR9kr5fOf5tcmTF1pJeLwHijcC7kparPM6pdj1ARPwJeFvSno1gPiLWBa4AFgdeAKYcV2lOu4mIxYHryF3TeYA/AV3kvMJnyNf8iPLY+YBrya6kL9Sz4tbm4NBanq9gmpmZjZ+yO3IvcC7wO0lDImITshPpppJuaASA5UT512QdlndRWlRELEQ26XsF+EDSExFxeDk2QNIr5XEzAJcB35c0pKbl1qIExpcDLwKLlJrMdci62qHADxvnkj6v/HQODs3MzMzaSEQsAVxE7pA8Qe6gfFfSoIjoNa5A8JOOW70i4gxgLnL0yDBgWuCXwMPA3yiz+iQ9Uoa47wqsKum1mpbcNKXjaBfZwf7bwPfIOY7nAb8H3gDWBPYka2q/5aDwszk4NDMzM2szJUC8kGxOsrWkc8pxB4E9RBnDMDuwGdl0Zi6yy+xvgM2BZ8kgqB/wEhDAJp0wq++Tdv8iYhVyl/wvwK8kvVFSqjcF9nEq6WdzcGhmZmbWhiJiETLN8BrgxE4YZdAuSoOV7YHVuneNjYhdyN3gZci50PMCUwOPdULw07jAUTq2XlgOLwIcKumvEbEqOcbiTDKoHgGcJ+mdWhbcw/SqewFmZmZmNvFJ+jewBbABsFepXbOeYV7gyVI717vbfZeQTYeWl/S8pDskDeqEwBCgBIZdZOfRMcAh5G7h+RHRX9Jt5HiW1ck021sdGI4/B4dmZmZmbUrSw8B3yHqsTWtejn2GshsG8CVgOICkD6uPkfQyORf6K81dXWsogeHCZKfd70p6hEy5fRS4KyKWlnQdmXq7nKTHalxujzN53QswMzMzs0lH0qMRsRzwXN1rsU9XqQe9Ftg7IlaQNBggIiYrjxlF1hveWssiaxARs5C7hO9Jei8ipgKWKbvh+wIrkGm2e5N1mStL+m9tC+7BvHNoZmZm1uYkPVNSFCerey02Xh4EXgb6l9nPSBpV/g13JmdBP1rnApslIk4iZxjeAOwYEX2A/5AB9MXA1yQtVQLrmYA7altsG3BDGjMzMzOzFhMR3yFr5kYDA8nGKrMB2wHrdUhX0iuAmYFtyTEVgyWp3LcxcARwNbmLujiwH/CNkmpqE8DBoZmZmZlZDSKiS9KY6m2AxrGI+D/g6+Qcv1fIuZWnd0IdXUTsBWwq6WuVY7MB6wJ9yU6lC5E/m5XItOljJD1Yw3LbhoNDMzMzM7Mmq87qi4gZJL1Rue9j8yir4xs6ZU5lRPwSGC3p8IiYG1gZOBF4FZgMmAVYStKQiJgCGNO9eY99fm5IY2ZmZmbWRBExmaSRpTvppUDfiPiXpF3gY41pGruJjd2cTtrVmRtYIiKGkymlKwOnAMcC7wNXAmsDZ0j6oLZVthnvHJqZmZmZNVkJDO8FngcuJ3fFzpK0fa0LaxERMSXwN6Af2WTmVklXVe6/lAwMr/qEb2ETwN1KzczMzMyaICKmr9z8OfAvSd8i6+fOBraOiHNrWVwLKSm3I4ANgTUk7dUtMNyZnPP4cF1rbFdOKzUzMzMzm8Qi4kzgKeCwcmg2yqB74FSylm5l4J6I6A0c1qldN0vKbVdJrx0eESsAW5M7iIsDOwJrS/pPjctsS945NDMzMzObhEoK6WLAA5XD1wO/jYjdycYqewBPkgHQ3MAb//ON2tC4Zm927+IK9CHrC/sD8wGrdsIojzp459DMzMzMbBKpBD+9gWrjlOsljYmI75HNVQC2IkdW/FTS601cZi0aHVtL8LwJ8ALwb0mvVwNESbcAi5Tn9HZX0knHwaGZmZmZ2SQQEVNLer98PSUZIDb0johR5FiGb0bEl8mZhmt3SGDYqxIYPgBMCbwH3BoRR0t65RNGeIysbdEdwN1KzczMzMwmsog4FhgG/K7shN0BnARcTUkZLTuHvYCfAFOTu4ltP+C+oYzpuAYYIuknEXEUsDowGDhS0sudNNuxFXjn0MzMzMxs4vsncCTZUOVsYGayI+mjwDTAqxHxL+BtYKCkG2pbaX3mIeORncvtvmRq6WLAnhFxgqTn61pcJ3JDGjMzMzOziUzS2cBuwA7AD4GXge+RdYXHkDuI0wOrkbMO2944ms/MBcwBjIqIM4AFJW0GvEXupp4WEb3LDqM1gXcOzczMzMwmokYzFUmXloDoD2THzX9LepjKfL5OSZusNJ/pAlYEHpd0V0SsSTabWRxYszz8eeD3wCluPtNcrjk0MzMzM5vIqt02I2J94Ezgd8BJkt6qc23NVm0sQ47qmJlszrM3cBWwEHAn8A1y1uNewFqS/l3TkjuW00rNzMzMzL6AEvSM63gXgKRrgF2A7YEBEdG3icurVWWYPcB+wNPA8uT4jt3JERb/Bi4GLgB2BTZ1YFgP7xyamZmZmU2gbumSCwFvS3q13NcIDhs7iD8A9iWHuA+ta83NUk2ZjYirgKmAvSQ9UI4dTdZcHg8MBKYDhnfCz6ZVOTg0MzMzM5sAETGZpFGlrvA2oB+5M3aOpIvKY7oHiNNJeqeuNTdb+f9fHFibTKvdXtJplfuPADYDDpR0cT2rtAanlZqZmZmZTYASGHYBtwACtiWH2m8bEVuWx4wBuiodN9+tY6012gP4uaTjgUOBP0TEWo07Je0PnA/cW9P6rMI7h2ZmZmZm4ykippQ0onJ7I2BHSRuU22eRIxo+ILttXl7PSltDRPwQ2Af4uqTXI+Iw4BfAepJuqnd11p13Ds3MzMzMxt8RZfxCwxyNLyLiHPL8elcylfL3EbF/k9dXm3HNIyzzHp8CjilpuAcChwODIuIbzV6jfTrPOTQzMzMzGw8RMT3wBnB0RMxNdts8G3goIjYElgJWkDQiIgYDjwDn1bbgJqvUVd4MXA/cIuku4DiyU+sswMuSDo2ID4BXa1usjZN3Ds3MzMzMxoOkt8mRC4sDUwCvSBou6W5gTuDVEhjuAnwJOEPSs7UtuElKQ56qs8mZhYdExMlkk56lga0aD5B0tKTHmrdKGx+uOTQzMzMz+xSNcRXl65mBrYE+wDeBIyVdHhGLAo+SjVUWBdaWdH9NS26aSsfWXuRO6gtkg563yCD6FOA+4CvADMD6kp6qabn2GZxWamZmZmb2CcoQ95El+FkHGELO5ZuGnMt3QESMlnRlRCwGzAc83SE7hl2VwPBBYCSZmfhd4DclpXSFiPgm8DbwvfKntSjvHJqZmZmZjUNpmPJ3SaMj4n5gRuA94ArgV+TYir2A9YAngaGSflrXeusSEX8F3pK0TURsQ9YXDgH+IOmWyuP6SnqrpmXaeHDNoZmZmZlZN6Uj6Q3kzMJDgX9Imh84EVgEOAAYBRwDnEkGjqfWstgaRUQfYFrg4HJoeeDflK6tEbFB5eHeNWxxDg7NzMzMzLqRdCOwJxkErg0MKsf/AAwEFgL2BXpJ+h2wrqS2H+Q+juYzfYF+wPDSfGYZSf3JOsNVgP0joi+M7WZqrcvBoZmZmZlZERFdpYauEQgeTo6oWC4ipivHTwf+Ru6S7V4Cpg9rWnLTVJvPRMS3I2IFSS+RQeBoshHPt8rDe5NjPDZ2KmnP4ZpDMzMzMzP+pyvp9MC7pd7wh8CRwKHAX8pICyLi+8CtkobUtugmiYjNJV1SBt0/SgaDCwNHAGeQtZjPAL8uX/8CWN3jKnoWB4dmZmZm1vEiolcJBHuRDWcmA2Yj6wlPA7Ygg8ODgUslvVnTUpsuIhYnA8Kjy5+rSto+IrYiU28Hkh1cvwnsBgwHdpN0X01LtgnktFIzMzMz62iVwLALuBF4F+gPnETugO0s6QwyODwB2Lg8tiOU3b+1gZ3In8Ht5fj5ZMC4MbAz+bNbGVjPgWHP5ODQzMzMzDpWSSUdHRGTA7MAI4CtJP2XrCl8AbgkItaUdBqwB3BXJzRXadRewkcNejYhG9CsUTl+CXAYsC3wI2CkpHebvFSbSJxWamZmZmYdKSIuJpvNLCVpREQsCfwdWA4YAHwd+AqwAxkwrlzbYpusDLgfU3ZIZwemlPRsRKwKXE3OMNyn8viNgEclPV3Tkm0icHBoZmZmZh0nIqYA/gEsDQwmm6e8HxGnAhuSQ90XL489CJiXHO4+qt13DSNiHUnXl6/vAoYB/wccS3YgnQG4DjhO0gG1LdQmOgeHZmZmZtZRKjWGa5EB3/xkwLMEOb/wV2T51SnAMsDPyODxoXpW3DwRsSZwFnAMOb9wAbKecC1gR+BZ4EBgSXL240GSDqtlsTbRuebQzMzMzDqKpNHly+eA6YGDgHuB+4F/k8HQfWQwNDewWicEhsUjZJOZzYHNgBMlDZN0ORkUrgxsIOkmYHXg4tpWahOdg0MzMzMz6wgRMUe1y6ikJ4BrgF2AXwJDgAeAVyUdSA50/6mkh+tYbzNFxGQAkl4BLgQuAhYENmo8RtI9wLXAuuX2rZIeb/5qbVJxcGhmZmZmbS8iLieHtB8dERtU7jqjHJ+a3Cl7CXg+IqaWNKLd6wshA0NJoyKiV5lpOJmkE4ADgLUi4seVh3cBL9ayUJvkXHNoZmZmZm2t7IoNAr4BXA6sBPwFuEHS1RFxGDC/pP4RMRPwZ2CApKdqW3STlbEV/wRGk4Hy7pKuiYhdybrMJ8iU0+2BtTsozbajeOfQzMzMzNpWGckwikyFvBaYAtiVrDXcISKuAK4CFo2IlSQNBTbthMCwkUpa7E/WWW5OdiQ9OyLWLzuIp5KzDRcHvubAsH1559DMzMzM2lolbXIq4EayEc3x5c9DyaYz69BBnTerqaRkY5lNgb9JGhQR/chmPAOA/mUH8SfANZJeqHHZNok5ODQzMzOzttctQLweeB/YWdKTEbEwsB5wk6R/1brQJqj8LLoAkamk8wPXStqkPKYfsB051mO9xtxDa28ODs3MzMysrTSCn086XgLEa4ERwF6dmCZZAsOfAotI+nlErAv8EbhF0k/KY2YAfkjuGD5R32qtWVxzaGZmZmZtpdJ585iImKGkTjaOTyZpOLlTOBtwcERMUeuC67ET8DvgzXL77+RO4aoRcQqApDeA3zsw7BwODs3MzMysLUTEtys3twBWl/RGZeh99wBxRWAPSR80e63N1q35DMCVwHXAzhHRV9J7wJ1kgLhZRPweoBNGedhYDg7NzMzMrMeLiCWASyPi0HLoVbKukIjoXf7s1eheGhGTlzmG/6lpyU1T/l8bu6nfj4gtJT0H/Ai4H7gzImaTNAK4G9iEbNhjHcY1h2ZmZmbWFkrd3KXAIcBl5eu9gRckPVzn2uoSEb0kjS6ptQ8Aw4F5gH9K2qA0njmLbEiznqSX6lut1c3BoZmZmZn1WN2bz0TEBsDfyB2xuYFRwIfA28A7wB8kXVLHWusUEX8DXpW0fURsQQaEN0jaMCL6koH0tMD/AaOdTtqZJq97AWZmZmZmE6KkS44su2IrAq9LujoiNiQHuf8HWAWYiUyVXBB4vLYF1yQi5iUD5W3Lof8jm9F8NyIuBn5MdiXtGleXV+scDg7NzMzMrMcp6ZKNwHAwOavvKxHxA0l/iYitgIHAnpKOJMc0dISIWIkMiJ+V9Gg5/G9gsoj4E7AosCbZf+Tn5I7htzqhMY99OjekMTMzM7Mep9TRdQE3A48B6wOnAWeVhiuDgI2BwyPigBqX2lQRcSFwFHAqsF1ELFyazwwgg8Alga0kfQh8AOwI7OjA0MA7h2ZmZmbWg3SrMVwJmFxS/3LfUHI8w7kRMVLSxRGxOvBKTcttqoi4FJgTWA2YBRhWZhUi6aWImBXoAtaOiDmAXYDlJT1bz4qt1Tg4NDMzM7MeoaSSjiqppBsBLwMjy6iKM4CZJK0fEbcAF0bEPMBx1TmH7Soi1iIDw5VLM5khEbFQRBwD9AHekrRjRNwPfA+Yi5wD+WR9q7ZW4+DQzMzMzFpeZSRDF3AL8CCZPtmfbLDyFUlfKg//Fzm24fJOCAyLaYF3JY2JiKWArwPHArcBTwPLRsSBknaIiJmAkZLeqnG91oIcHJqZmZlZy6sEhocBH0ratXFf6cY5JCKWBr5G7iqu0GEz+54E1oyIgeQO4hjgQEnHRMRkwIFkqimShta3TGtlbkhjZmZmZi2rpJA29CPrDJeJiB+XoAdysPu05HiGA4BNOiwwRNIjwKrAEOB4YJcSGPYqNZp9gGER0VWCbLP/0TVmjOdbmpmZmVnracwxLF/PKenFiJiW7EraBzgBuLGkUgbZbOUdSS/Ut+rWEBFTSRpevt4ZOARYRdJj9a7MWpmDQzMzMzNrOY2upGV38HpgVuA+ss7wReB0skTqj5QAsbbFtpiImB+4gUw1fQ1YA9hY0v11rstan9NKzczMzKzlVLqS3g68AOwPLA38EpgX+DGZTrofmU5pYw0FDgeeBe4GVnNgaOPDO4dmZmZm1pIiYitgU0mbl9t/ARYDHieDwlfJ+rqDJA2pbaFmbcLdSs3MzMysJUREV7f00KXIOkIi4mzgTWAH4BpgAeBISds2faFmbcpppWZmZmZWu9J8Zkz5ul85/DvgVxHRH1gG2FXS3cBgMt30gVoWa9amHByamZmZWa1K85mREdErIi4Bro6Iw4G3JA0G5gAekvRh6bw5DXCspOfqXLdZu3HNoZmZmZnVrjSfuQd4BhgEHFf+OwxYGbiY3ClcFlhdkncNzSYy7xyamZmZWS0i4puVm3sAj5bmM6cBlwE/A44AHgbWBc4ClndgaDZpuCGNmZmZmTVdRFwFvAsMbBwqtwHOBJ4C1gduBqYGTpR0ZnNXadZZHByamZmZWVNFxMXADJI2rBw+B3g7IvYg5xluQwaFDwBzk8PczWwSclqpmZmZmTVNRJwLfAvYu9zuKnfdLulBsvnMFZJGAj8kdxC3kfRiHes16yTeOTQzMzOzpoiIK4GFgSuBrSJiCkk3l7t7AaOA14EtI2IpYBVgDUmv1rJgsw7jnUMzMzMzm+Qi4iRgJkmLA/sCcwH9I2IVAEmjykMvJOcb3gus7OYzZs3jURZmZmZmNslFxEKSnqrcXh7YD3gTOFPSbbUtzswAB4dmZmZm1kQRMXmpJ+weIJ4u6fZaF2fW4RwcmpmZmVltSoC4N9AFHCvprpqXZNaxXHNoZmZmZrWRdC9ZYzgceLbe1Zh1Nu8cmpmZmVntImIqScPrXodZJ3NwaGZmZmZmZk4rNTMzMzMzMweHZmZmZmZmhoNDMzMzMzMzw8GhmZmZmZmZ4eDQzMzMzMzMcHBoZmZmZmZmODg0MzP73CJigbrXYGZmNrFNXvcCzMzM6hAR6wF7AcsAXcA9wP6S7v2M5y0LXA3MMckXaWZm1kTeOTQzs44TEdsBZwK/A2YH5gSuB26KiC9/xtP7Ar0n6QLNzMxq0DVmzJi612BmZtY0ETEN8BKwlaSrut13NHAvcB9wPLAsMDPwAPBj4HXgP8BUwDBgPuA94FfAZuQO5PnAfpI+iIjeZAD6/fLcU4BfSeoqf9+WwIHAXMCjwB6S/hER8wMPAn8DNinfYwAwq6Th5bm/BaaWtNNE/hGZmVmH8s6hmZl1mv8jyyqu7X6HpH0kXQL8CXgcWIAMDl8jU05fBdYHhkqaVtJQ4DfAYsBSwNLA8sD+5VseCHwNWBxYGdi08XdFxLpksLgDMFP5O6+LiNnLQ6YHngVmK3/HG+XvJiJ6Ad8DzvvCPw0zM7PCwaGZmXWamYA3JI38lMdsDRxEBpHzAUPJ3b2PiYguYBvgF5KGSnqtPG+78pAfAIdJelnSK+U+KvedJek2SSMlnQ48Ru4UNpwnaYSkYcAFZEAIsCrwIXDn5/j/NjMz+1RuSGNmZp3mZWDGiOgt6cPqHRExA/AOuRP4a8ame45h3BdUZwGmBm6JiEadRhcwRURMRdYyPl95/H8qX89Kpo7S7f65u6214Vzg7ojoA2wFnC/JtSFmZjbReOfQzMw6zV3AB5QUzW7+DJwD/BU4QtKsklYHbvmE7zW0fK9lJfWT1I8MCJcotYHPA/NWHl8N/J4D5u/2/RYAXqnc/ij4k/QI8BSwAbm76JRSMzObqLxzaGZmHUXS8IjYFzg1IkYB15G7f3sAa5G1gd8hG84QESuRdYHPlG8xApgqIqYoTWfOA46OiJ+SqZ6nkKmoq5AdUfeLiLvKfQdWlnI2MDAiLiLTQ38IfBm4DJjsE5Z/LnAA8IKkf33Rn4WZmVmVdw7NzKzjSDoR2JOsAXyNbPyyErBa2aHbAfhTRLwFnEgGfItExOTAQ2Sq6dCIWBjYDfhvOTaEHHXRqA08Bvgn8AQwmOyC+mFZw9/L33My8Gb5en1J1TTU7i4AlsS7hmZmNgl4lIWZmdkkEhErAk9IeqPcXh/4s6Q5J/D7TUmmnX5Z0gsTb6VmZmZOKzUzM5uUtgGmiYifkKmruzOOERrjIyIWI1NPb3dgaGZmk4LTSs3MzCad/YE+wIvA02T30T0m8HudR6arDpg4SzMzM/s4p5WamZmZmZmZdw7NzMzMzMzMwaGZmZmZmZnh4NDMzMzMzMxwcGhmZmZmZmY4ODQzMzMzMzMcHJqZmZmZmRnw//Bp0tyURpy/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"Average views each video of a particular channel have.\")\n",
    "plt.plot(top_10_creators_df.channelTitle, top_10_creators_df.views_per_video, 'b-o', linewidth=2, markersize=8, markeredgewidth=4, markeredgecolor='navy');\n",
    "plt.xlabel('Category'); \n",
    "plt.ylabel('Avg. View per videos');\n",
    "plt.xticks(rotation=45);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> The above graph clearly represents that even though having much less uploads then many other channels TMKOC is able to reach a wider and have a reliable audience. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Which channel gets the most user reaction in their videos?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"Users reaction against a category.\")\n",
    "plt.bar(top_10_creators_df.channelTitle, top_10_creators_df.likes);\n",
    "plt.bar(top_10_creators_df.channelTitle, top_10_creators_df.dislikes, bottom=top_10_creators_df.likes);\n",
    "plt.xticks(rotation=45);\n",
    "plt.legend(['likes', 'dislikes']);\n",
    "plt.xlabel('Category'); \n",
    "plt.ylabel('Viewers Reaction (x10^8)');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Even after much less uploads then many other youtube channels Crazy XYZ is able to make users to like the content. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inferences and Conclusion\n",
    "1. Out of many categories(genre) only few end up reaching to the trending section.\n",
    "2. Creators uploading videos frequently have a better chance reaching the trends section.\n",
    "3. Videos of categories like Entertainment, Music and People & Blog makes major part of the trend listing.\n",
    "4. Contents of youtube channels of popular pay Television channel are frequent to appear on trends.    "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}