Category_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d97c16b2-4da3-41d4-8776-3cc183b2af83",
   "metadata": {},
   "source": [
    "### In this notebook, I categorized the YouTube channels into various journal types namely;\n",
    "\n",
    "   ### 1. Comedy\n",
    "   ### 2. Lifestyle\n",
    "   ### 3. Talk show\n",
    "   ### 4. Podcast \n",
    "   ### 5. Storytelling\n",
    "\n",
    "### The analysis will concentrate on the leading channels in each category based on views and subscribers, highlighting the top three most-watched videos from the channel with the highest views."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4cb69cd4-721b-4030-960d-b9edd5f493a1",
   "metadata": {},
   "source": [
    "## Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "88e096a3-7da6-4cfb-8942-63fbb9de6ac1",
   "metadata": {},
   "outputs": [],
   "source": [
    "from googleapiclient.discovery import build\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "from dotenv import load_dotenv"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "971ba8eb-b0b0-40ef-ae86-a4c343e057fd",
   "metadata": {},
   "source": [
    "## Load API Key"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d10ea6d7-62dd-4ebe-889f-0ab433f65322",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load environment variables from the .env file\n",
    "load_dotenv()\n",
    "\n",
    "# Get the API key from the environment variable\n",
    "api_key = os.getenv(\"YOUTUBE_API_KEY\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be128f6f-d295-430a-acb7-cfd2ff01d8fc",
   "metadata": {},
   "source": [
    "## Import channel IDS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "bb84b557-48f1-43c9-a568-b9f57f89bf9e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Comedy category\n",
    "comedy_channel_ids = ['UCQfjhBlCaSwqIh3T3COfCDg', # KADUSKO Tv\n",
    "              'UCkV3t4uxBsi8jYj3wjqooeQ', # NJUGUSH TV\n",
    "              'UC0YG5UA1s2gLb5tDfUCIWtg', # Churchill Television\n",
    "              'UC7MGnWilDcg157op0eKI1Tg', # Henry DeSagu\n",
    "              'UClkXE1xfSwdx07G_MkFgQGA', # Eddie Butita\n",
    "              'UCSkQTaT1wFrmPCK5d-Zr2Ng', # Awinja Nyamwalo - Jacky Vike\n",
    "              'UCjG66-ryVCszrs7k_Y2pn3Q', # Flaqo Raz\n",
    "              'UCiXj0BfxM0WQGFr9mxdR0qg', # Crazy Kennar\n",
    "]\n",
    "youtube_comedy = build('youtube', 'v3', developerKey=api_key)\n",
    "\n",
    "\n",
    "# Lifestyle Category\n",
    "lifestyle_channel_ids = ['UC0UslOx9EYxnk_4SFSHj8hA', # DIANA BAHATI\n",
    "              'UCHVTpHXp43Giiwag5s6o8xQ', # THE WAJESUS FAMILY\n",
    "              'UCUKnloR_w6diioiPavmH8qw', # JACKIE MATUBIA TV\n",
    "              'UCMMmy64_0rySSPUu0xohuCQ' # Thee Pluto Show\n",
    "]\n",
    "youtube_lifestyle = build('youtube', 'v3', developerKey=api_key)\n",
    "\n",
    "\n",
    "# Talkshow Category\n",
    "talkshow_channel_ids = ['UC_9xRXWjRrz_Jy7SWhUnBBw', # Obinna TV Extra\n",
    "              'UCl6ICaB9meBcSMQ5Zmr446g', # Tuko / Tuco - Kenya\n",
    "              'UCqWSW6zEdoEv_0p5Vw-uLZQ' # Dr Ofweneke TV\n",
    "]\n",
    "youtube_talkshow = build('youtube', 'v3', developerKey=api_key)\n",
    "\n",
    "# Podcast Category\n",
    "podcast_channel_ids = ['UCE3KVkSH1GwUtAAMcVcJ3QQ', # UpSyd Digital Networks\n",
    "              'UCa2gldA2ivhzMwIJRA5683w', # Lynn Ngugi\n",
    "              'UC6fVFxrbf0HDRW3B2mdWFGA', # TMI Podcast KE\n",
    "              'UChQXn6sL9ENIpA74qqPG1HA', # 3MenArmy Kenya\n",
    "              'UC5h4-WH0LAV4CWs380yM33A', # Iko Nini\n",
    "              'UCmBQsChFjOTcqv7D6sT8dPw', # ManTalk Ke\n",
    "              'UCEYqAce8R78wNRAkb8wIuVQ', # Sandwich Podcast KE\n",
    "              'UCgSP5G3RmKJl72aA2lBV_Jw' # Boxpod TV\n",
    "                \n",
    "]\n",
    "youtube_podcast = build('youtube', 'v3', developerKey=api_key)\n",
    "\n",
    "\n",
    "# Storytelling Category\n",
    "story_telling_channel_ids = ['UC4tjY2tTltEKePusozUxtSA' # Abel Mutua\n",
    "]\n",
    "youtube_story_telling = build('youtube', 'v3', developerKey=api_key)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "252b1ce9-65d6-4de5-baeb-d7ecc11ee051",
   "metadata": {},
   "source": [
    "## Function to get channel statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c7e9942f-73b9-4cff-ac17-c41cdedbc6e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to get comedy channel statistics\n",
    "def get_channel_stats(youtube_comedy, comedy_channel_ids):\n",
    "    all_data = []\n",
    "    request = youtube_comedy.channels().list(\n",
    "        part='snippet,contentDetails,statistics',\n",
    "        id=','.join(comedy_channel_ids))\n",
    "    response = request.execute()\n",
    "    \n",
    "\n",
    "    for i in range(len(response['items'])):\n",
    "        data = dict(Channel_name = response['items'][i]['snippet']['title'],\n",
    "                   Subscribers = response['items'][i]['statistics']['subscriberCount'],\n",
    "                   Views = response['items'][i]['statistics']['viewCount'],\n",
    "                   Total_videos = response['items'][i]['statistics']['videoCount'],\n",
    "                   Playlist_id = response['items'][i]['contentDetails']['relatedPlaylists']['uploads'])\n",
    "        all_data.append(data)\n",
    "    \n",
    "    return all_data\n",
    "\n",
    "\n",
    "# Function to get lifestyle channel statistics\n",
    "def get_channel_stats(youtube_lifestyle, lifestyle_channel_ids):\n",
    "    all_data = []\n",
    "    request = youtube_lifestyle.channels().list(\n",
    "        part='snippet,contentDetails,statistics',\n",
    "        id=','.join(lifestyle_channel_ids))\n",
    "    response = request.execute()\n",
    "    \n",
    "\n",
    "    for i in range(len(response['items'])):\n",
    "        data = dict(Channel_name = response['items'][i]['snippet']['title'],\n",
    "                   Subscribers = response['items'][i]['statistics']['subscriberCount'],\n",
    "                   Views = response['items'][i]['statistics']['viewCount'],\n",
    "                   Total_videos = response['items'][i]['statistics']['videoCount'],\n",
    "                   Playlist_id = response['items'][i]['contentDetails']['relatedPlaylists']['uploads'])\n",
    "        all_data.append(data)\n",
    "    \n",
    "    return all_data\n",
    "\n",
    "# FUnction to get talk show channel statistics\n",
    "def get_channel_stats(youtube_talkshow, talkshow_channel_ids):\n",
    "    all_data = []\n",
    "    request = youtube_talkshow.channels().list(\n",
    "        part='snippet,contentDetails,statistics',\n",
    "        id=','.join(talkshow_channel_ids))\n",
    "    response = request.execute()\n",
    "\n",
    "    for i in range(len(response['items'])):\n",
    "        data = dict(Channel_name = response['items'][i]['snippet']['title'],\n",
    "                   Subscribers = response['items'][i]['statistics']['subscriberCount'],\n",
    "                   Views = response['items'][i]['statistics']['viewCount'],\n",
    "                   Total_videos = response['items'][i]['statistics']['videoCount'],\n",
    "                   Playlist_id = response['items'][i]['contentDetails']['relatedPlaylists']['uploads'])\n",
    "        all_data.append(data)\n",
    "\n",
    "    return all_data\n",
    "\n",
    "\n",
    "# Funtion to get Podcast channel statistics\n",
    "def get_channel_stats(youtube_podcast, podcast_channel_ids):\n",
    "    all_data = []\n",
    "    request = youtube_podcast.channels().list(\n",
    "        part='snippet,contentDetails,statistics',\n",
    "        id=','.join(podcast_channel_ids))\n",
    "    response = request.execute()\n",
    "\n",
    "    for i in range(len(response['items'])):\n",
    "        data = dict(Channel_name = response['items'][i]['snippet']['title'],\n",
    "                   Subscribers = response['items'][i]['statistics']['subscriberCount'],\n",
    "                   Views = response['items'][i]['statistics']['viewCount'],\n",
    "                   Total_videos = response['items'][i]['statistics']['videoCount'],\n",
    "                   Playlist_id = response['items'][i]['contentDetails']['relatedPlaylists']['uploads'])\n",
    "        all_data.append(data)\n",
    "\n",
    "    return all_data\n",
    "\n",
    "\n",
    "# Funtion to get story telling channel statistics\n",
    "def get_channel_stats(youtube_story_telling, story_telling_channel_ids):\n",
    "    all_data = []\n",
    "    request = youtube_story_telling.channels().list(\n",
    "        part='snippet,contentDetails,statistics',\n",
    "        id=','.join(story_telling_channel_ids))\n",
    "    response = request.execute()\n",
    "\n",
    "    for i in range(len(response['items'])):\n",
    "        data = dict(Channel_name = response['items'][i]['snippet']['title'],\n",
    "                   Subscribers = response['items'][i]['statistics']['subscriberCount'],\n",
    "                   Views = response['items'][i]['statistics']['viewCount'],\n",
    "                   Total_videos = response['items'][i]['statistics']['videoCount'],\n",
    "                   Playlist_id = response['items'][i]['contentDetails']['relatedPlaylists']['uploads'])\n",
    "        all_data.append(data)\n",
    "\n",
    "    return all_data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2b606ec-c215-4f42-b876-478a62eabd45",
   "metadata": {},
   "source": [
    "## Create a Pandas DataFrame"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f626405-e3c5-42fb-83c6-81cd366a1109",
   "metadata": {},
   "source": [
    "### Comedy DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7592ae99-433a-4591-ba2f-a1d5ade5a793",
   "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>Channel_name</th>\n",
       "      <th>Subscribers</th>\n",
       "      <th>Views</th>\n",
       "      <th>Total_videos</th>\n",
       "      <th>Playlist_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>KADUSKO Tv</td>\n",
       "      <td>561000</td>\n",
       "      <td>223661424</td>\n",
       "      <td>639</td>\n",
       "      <td>UUQfjhBlCaSwqIh3T3COfCDg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Awinja Nyamwalo - Jacky Vike</td>\n",
       "      <td>415000</td>\n",
       "      <td>84279233</td>\n",
       "      <td>273</td>\n",
       "      <td>UUSkQTaT1wFrmPCK5d-Zr2Ng</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NJUGUSH TV</td>\n",
       "      <td>669000</td>\n",
       "      <td>109310764</td>\n",
       "      <td>898</td>\n",
       "      <td>UUkV3t4uxBsi8jYj3wjqooeQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Henry DeSagu</td>\n",
       "      <td>680000</td>\n",
       "      <td>106937934</td>\n",
       "      <td>633</td>\n",
       "      <td>UU7MGnWilDcg157op0eKI1Tg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Crazy Kennar</td>\n",
       "      <td>666000</td>\n",
       "      <td>169729530</td>\n",
       "      <td>631</td>\n",
       "      <td>UUiXj0BfxM0WQGFr9mxdR0qg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Churchill Television</td>\n",
       "      <td>2440000</td>\n",
       "      <td>752768969</td>\n",
       "      <td>5359</td>\n",
       "      <td>UU0YG5UA1s2gLb5tDfUCIWtg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Flaqo Raz</td>\n",
       "      <td>804000</td>\n",
       "      <td>147000272</td>\n",
       "      <td>259</td>\n",
       "      <td>UUjG66-ryVCszrs7k_Y2pn3Q</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Eddie Butita</td>\n",
       "      <td>352000</td>\n",
       "      <td>33724059</td>\n",
       "      <td>86</td>\n",
       "      <td>UUlkXE1xfSwdx07G_MkFgQGA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Channel_name Subscribers      Views Total_videos  \\\n",
       "0                    KADUSKO Tv      561000  223661424          639   \n",
       "1  Awinja Nyamwalo - Jacky Vike      415000   84279233          273   \n",
       "2                    NJUGUSH TV      669000  109310764          898   \n",
       "3                  Henry DeSagu      680000  106937934          633   \n",
       "4                  Crazy Kennar      666000  169729530          631   \n",
       "5          Churchill Television     2440000  752768969         5359   \n",
       "6                     Flaqo Raz      804000  147000272          259   \n",
       "7                  Eddie Butita      352000   33724059           86   \n",
       "\n",
       "                Playlist_id  \n",
       "0  UUQfjhBlCaSwqIh3T3COfCDg  \n",
       "1  UUSkQTaT1wFrmPCK5d-Zr2Ng  \n",
       "2  UUkV3t4uxBsi8jYj3wjqooeQ  \n",
       "3  UU7MGnWilDcg157op0eKI1Tg  \n",
       "4  UUiXj0BfxM0WQGFr9mxdR0qg  \n",
       "5  UU0YG5UA1s2gLb5tDfUCIWtg  \n",
       "6  UUjG66-ryVCszrs7k_Y2pn3Q  \n",
       "7  UUlkXE1xfSwdx07G_MkFgQGA  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comedy_channel_stats = get_channel_stats(youtube_comedy, comedy_channel_ids)\n",
    "comedy_channel_data = pd.DataFrame(comedy_channel_stats)\n",
    "comedy_channel_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb145547-141c-47d6-8a0b-086c56c03363",
   "metadata": {},
   "source": [
    "### LIfestyle DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9637de33-03d9-4849-8d4a-2dc3896e7145",
   "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>Channel_name</th>\n",
       "      <th>Subscribers</th>\n",
       "      <th>Views</th>\n",
       "      <th>Total_videos</th>\n",
       "      <th>Playlist_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>THE WAJESUS FAMILY</td>\n",
       "      <td>828000</td>\n",
       "      <td>184117107</td>\n",
       "      <td>844</td>\n",
       "      <td>UUHVTpHXp43Giiwag5s6o8xQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DIANA BAHATI</td>\n",
       "      <td>1150000</td>\n",
       "      <td>231564596</td>\n",
       "      <td>859</td>\n",
       "      <td>UU0UslOx9EYxnk_4SFSHj8hA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>JACKIE MATUBIA TV</td>\n",
       "      <td>299000</td>\n",
       "      <td>22377848</td>\n",
       "      <td>213</td>\n",
       "      <td>UUUKnloR_w6diioiPavmH8qw</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Thee Pluto Show</td>\n",
       "      <td>974000</td>\n",
       "      <td>253917694</td>\n",
       "      <td>1205</td>\n",
       "      <td>UUMMmy64_0rySSPUu0xohuCQ</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Channel_name Subscribers      Views Total_videos  \\\n",
       "0  THE WAJESUS FAMILY      828000  184117107          844   \n",
       "1        DIANA BAHATI     1150000  231564596          859   \n",
       "2   JACKIE MATUBIA TV      299000   22377848          213   \n",
       "3     Thee Pluto Show      974000  253917694         1205   \n",
       "\n",
       "                Playlist_id  \n",
       "0  UUHVTpHXp43Giiwag5s6o8xQ  \n",
       "1  UU0UslOx9EYxnk_4SFSHj8hA  \n",
       "2  UUUKnloR_w6diioiPavmH8qw  \n",
       "3  UUMMmy64_0rySSPUu0xohuCQ  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lifestyle_channel_stats = get_channel_stats(youtube_lifestyle, lifestyle_channel_ids)\n",
    "lifestyle_channel_data = pd.DataFrame(lifestyle_channel_stats)\n",
    "lifestyle_channel_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e00a5e71-2dca-4227-a58d-2595d68fdfd3",
   "metadata": {},
   "source": [
    "### Talk show¶ DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bdbfe7d9-9c90-4d0a-bb92-7b464d7a34c1",
   "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>Channel_name</th>\n",
       "      <th>Subscribers</th>\n",
       "      <th>Views</th>\n",
       "      <th>Total_videos</th>\n",
       "      <th>Playlist_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Tuko / Tuco - Kenya</td>\n",
       "      <td>1100000</td>\n",
       "      <td>237867561</td>\n",
       "      <td>1900</td>\n",
       "      <td>UUl6ICaB9meBcSMQ5Zmr446g</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Obinna TV Extra</td>\n",
       "      <td>376000</td>\n",
       "      <td>55180505</td>\n",
       "      <td>1210</td>\n",
       "      <td>UU_9xRXWjRrz_Jy7SWhUnBBw</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Dr Ofweneke TV</td>\n",
       "      <td>108000</td>\n",
       "      <td>5734454</td>\n",
       "      <td>278</td>\n",
       "      <td>UUqWSW6zEdoEv_0p5Vw-uLZQ</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Channel_name Subscribers      Views Total_videos  \\\n",
       "0  Tuko / Tuco - Kenya     1100000  237867561         1900   \n",
       "1      Obinna TV Extra      376000   55180505         1210   \n",
       "2       Dr Ofweneke TV      108000    5734454          278   \n",
       "\n",
       "                Playlist_id  \n",
       "0  UUl6ICaB9meBcSMQ5Zmr446g  \n",
       "1  UU_9xRXWjRrz_Jy7SWhUnBBw  \n",
       "2  UUqWSW6zEdoEv_0p5Vw-uLZQ  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "talkshow_channel_stats = get_channel_stats(youtube_talkshow, talkshow_channel_ids)\n",
    "talkshow_channel_data = pd.DataFrame(talkshow_channel_stats)\n",
    "talkshow_channel_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44717454-39f8-45d8-ba64-bec1a7943429",
   "metadata": {},
   "source": [
    "### Podcast DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ce3cf11f-4cf6-4398-a1d3-1b83a91b232c",
   "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>Channel_name</th>\n",
       "      <th>Subscribers</th>\n",
       "      <th>Views</th>\n",
       "      <th>Total_videos</th>\n",
       "      <th>Playlist_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Iko Nini Podcast</td>\n",
       "      <td>150000</td>\n",
       "      <td>37661684</td>\n",
       "      <td>3004</td>\n",
       "      <td>UU5h4-WH0LAV4CWs380yM33A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ManTalk Ke</td>\n",
       "      <td>42600</td>\n",
       "      <td>2473788</td>\n",
       "      <td>263</td>\n",
       "      <td>UUmBQsChFjOTcqv7D6sT8dPw</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Boxpod TV</td>\n",
       "      <td>35900</td>\n",
       "      <td>3434093</td>\n",
       "      <td>189</td>\n",
       "      <td>UUgSP5G3RmKJl72aA2lBV_Jw</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>UpSyd Digital Networks</td>\n",
       "      <td>85500</td>\n",
       "      <td>11775927</td>\n",
       "      <td>670</td>\n",
       "      <td>UUE3KVkSH1GwUtAAMcVcJ3QQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sandwich Podcast KE</td>\n",
       "      <td>33700</td>\n",
       "      <td>3281545</td>\n",
       "      <td>155</td>\n",
       "      <td>UUEYqAce8R78wNRAkb8wIuVQ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>TMI Podcast KE</td>\n",
       "      <td>137000</td>\n",
       "      <td>14140796</td>\n",
       "      <td>371</td>\n",
       "      <td>UU6fVFxrbf0HDRW3B2mdWFGA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3MenArmy Kenya</td>\n",
       "      <td>229000</td>\n",
       "      <td>31653062</td>\n",
       "      <td>863</td>\n",
       "      <td>UUhQXn6sL9ENIpA74qqPG1HA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Lynn Ngugi</td>\n",
       "      <td>1150000</td>\n",
       "      <td>156323858</td>\n",
       "      <td>507</td>\n",
       "      <td>UUa2gldA2ivhzMwIJRA5683w</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Channel_name Subscribers      Views Total_videos  \\\n",
       "0        Iko Nini Podcast      150000   37661684         3004   \n",
       "1              ManTalk Ke       42600    2473788          263   \n",
       "2               Boxpod TV       35900    3434093          189   \n",
       "3  UpSyd Digital Networks       85500   11775927          670   \n",
       "4     Sandwich Podcast KE       33700    3281545          155   \n",
       "5          TMI Podcast KE      137000   14140796          371   \n",
       "6          3MenArmy Kenya      229000   31653062          863   \n",
       "7              Lynn Ngugi     1150000  156323858          507   \n",
       "\n",
       "                Playlist_id  \n",
       "0  UU5h4-WH0LAV4CWs380yM33A  \n",
       "1  UUmBQsChFjOTcqv7D6sT8dPw  \n",
       "2  UUgSP5G3RmKJl72aA2lBV_Jw  \n",
       "3  UUE3KVkSH1GwUtAAMcVcJ3QQ  \n",
       "4  UUEYqAce8R78wNRAkb8wIuVQ  \n",
       "5  UU6fVFxrbf0HDRW3B2mdWFGA  \n",
       "6  UUhQXn6sL9ENIpA74qqPG1HA  \n",
       "7  UUa2gldA2ivhzMwIJRA5683w  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "podcast_channel_stats = get_channel_stats(youtube_podcast, podcast_channel_ids)\n",
    "podcast_channel_data = pd.DataFrame(podcast_channel_stats)\n",
    "podcast_channel_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76efef4a-0def-4394-9010-ad2d88e2a93a",
   "metadata": {},
   "source": [
    "### Storytelling DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7264086a-6f5e-4771-a995-747905b3185d",
   "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>Channel_name</th>\n",
       "      <th>Subscribers</th>\n",
       "      <th>Views</th>\n",
       "      <th>Total_videos</th>\n",
       "      <th>Playlist_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Abel Mutua</td>\n",
       "      <td>693000</td>\n",
       "      <td>121650577</td>\n",
       "      <td>477</td>\n",
       "      <td>UU4tjY2tTltEKePusozUxtSA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Channel_name Subscribers      Views Total_videos               Playlist_id\n",
       "0   Abel Mutua      693000  121650577          477  UU4tjY2tTltEKePusozUxtSA"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "story_telling_channel_stats = get_channel_stats(youtube_story_telling, story_telling_channel_ids)\n",
    "story_telling_channel_data = pd.DataFrame(story_telling_channel_stats)\n",
    "story_telling_channel_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0504f052-07d5-404d-8f5f-decb47014503",
   "metadata": {},
   "source": [
    "## Convert datatype to int"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "920ab4c1-10de-4950-86fb-9beac5f532db",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Comedy data to int\n",
    "comedy_channel_data['Subscribers'] = pd.to_numeric(comedy_channel_data['Subscribers'])\n",
    "comedy_channel_data['Views'] = pd.to_numeric(comedy_channel_data['Views'])\n",
    "comedy_channel_data['Total_videos'] = pd.to_numeric(comedy_channel_data['Total_videos'])\n",
    "\n",
    "# Lifestle data to int\n",
    "lifestyle_channel_data['Subscribers'] = pd.to_numeric(lifestyle_channel_data['Subscribers'])\n",
    "lifestyle_channel_data['Views'] = pd.to_numeric(lifestyle_channel_data['Views'])\n",
    "lifestyle_channel_data['Total_videos'] = pd.to_numeric(lifestyle_channel_data['Total_videos'])\n",
    "\n",
    "# Talkshow data to int\n",
    "talkshow_channel_data['Subscribers'] = pd.to_numeric(talkshow_channel_data['Subscribers'])\n",
    "talkshow_channel_data['Views'] = pd.to_numeric(talkshow_channel_data['Views'])\n",
    "talkshow_channel_data['Total_videos'] = pd.to_numeric(talkshow_channel_data['Total_videos'])\n",
    "\n",
    "# Podcast data to int\n",
    "podcast_channel_data['Subscribers'] = pd.to_numeric(podcast_channel_data['Subscribers'])\n",
    "podcast_channel_data['Views'] = pd.to_numeric(podcast_channel_data['Views'])\n",
    "podcast_channel_data['Total_videos'] = pd.to_numeric(podcast_channel_data['Total_videos'])\n",
    "\n",
    "# Story telling data to int\n",
    "story_telling_channel_data['Subscribers'] = pd.to_numeric(story_telling_channel_data['Subscribers'])\n",
    "story_telling_channel_data['Views'] = pd.to_numeric(story_telling_channel_data['Views'])\n",
    "story_telling_channel_data['Total_videos'] = pd.to_numeric(story_telling_channel_data['Total_videos'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d79dbaeb-f4c8-46a4-8e37-226daa93f324",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Channel_name    object\n",
       "Subscribers      int64\n",
       "Views            int64\n",
       "Total_videos     int64\n",
       "Playlist_id     object\n",
       "dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check data type\n",
    "comedy_channel_data.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3d267ec-2499-4472-8600-219843df4db7",
   "metadata": {},
   "source": [
    "# VISUALIZATIONS"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d088e27-6dd1-482c-b406-75db63fa1d4a",
   "metadata": {},
   "source": [
    "## 1. Comedy Category Views by YouTube Channel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2d27fb26-ed7d-4570-87a6-408629ca1747",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set figure size and style\n",
    "sns.set(style=\"whitegrid\", rc={'figure.figsize':(12, 8)})\n",
    "\n",
    "# Create the barplot\n",
    "ax = sns.barplot(x='Channel_name', y='Views', data=comedy_channel_data)\n",
    "\n",
    "# Improve x-axis labels\n",
    "plt.xticks(rotation=45, ha='right', fontsize=10)\n",
    "\n",
    "# Add axis labels and a title\n",
    "ax.set_xlabel('YouTube Channel Name', fontsize=12)\n",
    "ax.set_ylabel('Views', fontsize=12)\n",
    "ax.set_title('Comedy Channel Views on YouTube', fontsize=14, weight='bold')\n",
    "\n",
    "# Adjust spacing to prevent overlap\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "010989e3-a7eb-46da-bbd8-2c1c7275a8c1",
   "metadata": {},
   "source": [
    "## YouTube Comedy Channel Subscriber Count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "096b9a5c-ff1a-42f3-9173-b006b7008ef2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set figure size and style\n",
    "sns.set(style=\"whitegrid\", rc={'figure.figsize':(12, 8)})\n",
    "\n",
    "# Create the barplot\n",
    "ax = sns.barplot(x='Channel_name', y='Subscribers', data=comedy_channel_data)\n",
    "\n",
    "# Improve x-axis labels\n",
    "plt.xticks(rotation=45, ha='right', fontsize=10)\n",
    "\n",
    "# Add axis labels and a title\n",
    "ax.set_xlabel('YouTube Channel Name', fontsize=12)\n",
    "ax.set_ylabel('Subscribers', fontsize=12)\n",
    "ax.set_title('YouTube Comedy Channel Subscriber Count', fontsize=14, weight='bold')\n",
    "\n",
    "# Adjust spacing to prevent overlap\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42ccdbec-7aba-40e3-afac-9b530106b58c",
   "metadata": {},
   "source": [
    "## 2. Lifestyle Category Views by YouTube Channel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "fe701496-27aa-4e98-8fb5-70d3e252a699",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABJ8AAAMQCAYAAACJzMTyAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAoU9JREFUeJzs3Xd0FNX/xvFnUyGEJPQWpErvhI6UCFIEKYr0XqJUAQVURNoXFFEUlN67oBQBQXpAbHQUCb0GBCSEJJCQtr8/cjK/LKGEmMkm8H6dwznZKbuf2WQvM8/ee8ditVqtAgAAAAAAAEzgYO8CAAAAAAAA8OwifAIAAAAAAIBpCJ8AAAAAAABgGsInAAAAAAAAmIbwCQAAAAAAAKYhfAIAAAAAAIBpCJ8AAAAAAABgGsInAAAAAAAAmIbwCQAAAAAAAKYhfAKA51zx4sWNf2vWrEm0fuHChWrevLnKlStnbNe3b187VJqyfH19jeOZNm2avctBOjdixAjj76lz5872LifFrVmzxqatgH1cuXLF5vfw+++/27ukp9a5c2ej/hEjRti7HLt71tsOAIjnZO8CAAAp5/fff1eXLl2MxxMnTlTr1q2T/XzffvutJk6cmBKlJduIESO0du1aSVLVqlW1ZMkSu9bzX9y/f1/r16/Xzp07deLECd2+fVtWq1U5cuRQqVKlVL9+fTVt2lQZM2ZM9ms8+DewY8cOeXt7p0T5z7SePXvq559/liR5eHho3759cnFxSbSd1WpVw4YNdfnyZUlSyZIltW7dutQs9bk0Z84cTZ482Xjcs2dPDRs2LNF2AwcO1E8//WQ8njJlipo2bWp6fZ07d9Yff/zxVPv81/Y5rUiNdg0AkP4RPgHAcy7hBVzZsmVt1m3cuNH4OW/evGrTpo1cXV1VoECBVKvvWbF//369++67+ueffxKtCwwMVGBgoLZt2yaLxfJMXJCmN61btzbCp5CQEO3atUuNGjVKtN3BgweN4EmSWrVqJUlq2rSpXnzxRUlSnjx5UqHi50uPHj20bds2HT16VFJcj8ymTZuqTJkyxjbbt2+3CZ4aN26cKsHT84x2DQCQVIRPAPCc69mz5yPXXb161fi5RYsWz8RwO3s4cOCAevToocjISGNZhQoVVK1aNbm5uenGjRv67bffdPbsWTtWmb6EhYXJ3d09xZ6vQYMG8vDwUEhIiCRp3bp1Dw2f1q9fb/zs7Oys5s2bS5Lq1KmjOnXqpFg9sOXo6KiJEyeqVatWun//vmJiYjRy5Eh99913cnJyUmhoqMaMGWNsnzVrVn388cepVl/79u1Vr149m2WTJk0yfi5TpkyiIOzBsD+9oV0DADwNwicAeM4lnL8lfhhIwqFu8WbMmKEZM2bYbCfFhQDLli3T9u3bde7cOd2/f1/Zs2dX9erV1bNnT6M3SLzo6GgtXbpUmzdv1tmzZ3Xv3j1lzpxZ2bNnV+nSpVW3bl29+uqrWrNmjd5//32bff/44w+behcvXqxp06Zp//79kqRmzZrp888/t9ln2bJlGjt2rCTJ09NTe/fulaur6xPfl4CAAC1atEj79+/XjRs35OjoqAIFCqhx48bq0qWL3NzcnvgckhQZGalhw4YZF2gODg6aOHGiWrZsmWjbX3/9Vc7Ozsbj33//XevXr9eJEyd08+ZNBQcHy9HRUTlz5pSPj4+6detm8348bC6el19+2fi5VatW+uSTT/7TMR44cEBfffWV/vzzT7m4uKhGjRp699139c033zx2eOT169e1cOFC/fzzz7py5Yqio6OVI0cOVapUSV26dFG5cuVstp82bZq+/vprSVK+fPn0/fffa+rUqdqxY4du3rypfv36ad68ebp3754kaezYsWrbtq3NcyQcgvXSSy9p7ty5iY4nnqurq5o2baqVK1dKkvbu3avbt28rS5YsxjaRkZHasmWL8bhevXrKmjWrpCcPD/3333+1ePFi+fv769KlS4qOjlbu3LlVu3Zt9e7dW3nz5jW2XbRokSZMmCBJ8vb21o4dO4x17dq10+HDhyVJ06dPN36/P/74owYPHixJypQpk/744w85OTnp3r17mj9/vnbs2KELFy4oMjJSHh4eypkzp8qWLatXXnklWaFZVFSU5syZo7Vr1+qff/5Rzpw51apVK/Xp08cYrjh8+HBjSGLFihWN9zbe7t275efnJykuXNq1a5dy5cr1yNcsUqSIBg4cqM8++0ySdOLECc2dO1dvvfWWPv30U924ccPY9uOPPzZ+NzExMVq7dq02bNiggIAAI7gsVqyYmjdvrtatW8vJ6f9PiZ80dNXX11eBgYGSpP79+2vAgAEP7WGVMHx68cUXbYL+K1eu2Hw2Fy9erGrVqhmPEw7je/Bz+6Aff/xRc+fO1dmzZ+Xm5qZ69epp6NChyp49e6Jt00K79qArV67oyy+/1M8//6y7d++qaNGi6tevnxo0aGCz3bZt27R161YFBATo1q1bCgkJkbOzs/LkyaPq1aurR48eiYYYP/g+vvXWW5o6dar27dune/fuPfK1Hvwd169fX9OmTdPBgwcVFRWl0qVLa8iQIfLx8Ul0PE/zWQeA5wnhEwAg2S5cuKAePXoYJ+nxrl27prVr12rTpk2aNGmSmjRpYqwbOXJkomArODhYwcHBOnPmjC5cuKBXX301yTV06tTJCJ+2bdumO3fuyNPT01i/efNm4+dXX301ScHT8uXL9b///U/R0dE2y0+cOKETJ05ow4YNWrhwoXLkyPHE59q+fbvN+9OxY8eHXqBJUo0aNWwe7969W99//73NsqioKF26dEmXLl3Shg0bNHv2bNWsWfOJdTwoOce4a9cu9e/f39gnPDxcW7Zs0W+//aZChQo98rX279+vfv366c6dOzbL44flbNq0ScOGDVP37t0fuv+9e/fUoUMHnTt3zljm7u6uVq1aadmyZZKk1atX24RP9+7d0549e4zHr7/++pPeErVu3doISKKiovTjjz+qY8eOxvqdO3caPaOk/x9y9ySHDx/W22+/rdu3b9ssv3TpkpYvX64NGzZo5syZxoVswhDiypUrun79unLlyqWIiAj99ddfxroDBw4YAcaBAweM5T4+PkaY4ufnl2guoqCgIAUFBSkgIEB3795NVvjUv39/7d6926bOadOm6fjx45o+fbosFos6depkhE+HDx/WmTNnVLRoUWOfhJ/N2rVrPzZ4ite9e3dt27ZNR44ckSR988038vT01OrVq41tmjRposaNG0uK+zvo06eP0UbECw4O1h9//KE//vhD69at05w5c5QpU6anfRvsbv78+Ta/h4iICK1Zs0b79+/XqlWrjABOSjvtWkJnzpzR66+/ruDgYGPZ33//rf79+2vBggU2+27YsMFmWKUU9zk9e/aszp49q/Xr12v58uWPnBD/77//VuvWrXX37t0nvlZCe/bs0axZsxQVFWUsO3jwoLp3765169apSJEixvKn/awDwPOE8AkAkEj8/DWzZs0yAoNatWqpVq1akuKGi8TExKh///7GBUjWrFnVrFkzeXp66ueff9bhw4cVGRmp4cOHq0yZMsqfP7/u3r2rH374wXidRo0aqVSpUgoNDdXVq1dtLhDLli2rYcOG6ccffzQuuPPnz6/27dsb27zwwguqXLmycufOrX/++ceY+Da+18LNmzd18OBBY/ukzDly6NAhjRs3TrGxsZLihpG89NJLunv3rtauXavbt2/rzJkzGj58uObPn//E5/v1119tHiclBImXMWNGVa1aVcWKFZOnp6cyZMig27dvy9/fX2fPnlVUVJTGjx+vH3/8UVLc/F2XLl2y6WHy1ltvycPDQ5KMXmjJOcbw8HB9+OGHxoWrk5OTWrduLU9PT61bt87ojfOgkJAQ9e/f3/g7ypAhg1q3bi13d3dt2rRJgYGBio2N1aeffqrSpUuratWqiZ7j9u3bun37tmrWrKlKlSopKChI2bNn10svvaTly5fLarXqzz//1MmTJ40Lz927dys8PFyS5OXlZdPL5FHKly+vIkWKGMOE1q1bZxM+JZxYPFu2bKpbt+4TnzMsLEz9+vUzLkbz5cunJk2aKEOGDPrpp590+vRphYaGasCAAdq6dasyZ86s4sWLK0uWLMY+Bw8eVNOmTXX06FGbC+CEgVPCn+PDq7NnzxrBk4ODg1q2bKmCBQvq9u3bunLlylNPkJ2Qv7+/WrRooTx58mjr1q1GMLhz506tX79eLVu2VNmyZVWhQgUjKFq9erXRmzEyMtKmR1dS5wNydHTUhAkTjOF3kZGRGj16tLE+W7ZsGjVqlPF4/PjxNu1K7dq1jZri5/g6ePCgxo8fb/ebKyTH7t27Va1aNfn4+OjQoUNGe3P58mV99tlnxjGlpXYtoT///FOenp7q1q2bIiIitHr1asXExMhqtWru3Lk2gVDmzJlVu3ZtFS5cWJ6ennJ2dta///6r7du36+rVqwoLC9PkyZM1Z86ch77WyZMnk/xaCR07dky5c+dW8+bNde3aNWMuxMjISC1atMjoWZuczzoAPE8In5Lg4sWLmjdvno4eParTp0+rcOHCNpPwPo344QoBAQFycHBQ2bJlNXToUJUsWTKFqwaA5Iufv2bZsmVGaFCxYkWbYSM7duzQ6dOnJcVdEK5YsUIFCxaUJL399ttq2bKlTp06pfv372vp0qV6//33FR0drZiYGElxPVcmT55sc0cxq9WqK1euSIoLSl588UWdPn3aCJ/y5Mnz0Dmq2rdvrylTpkiKu8CND59++ukn42KrWLFiSZpjZf78+cY+VatW1aJFi+Tg4CAprkdFmzZtJEn79u1TQECASpQo8djnu379us3jwoULP7GGeAMHDlRsbKz++usvnT17ViEhIcqePbvq1KljBCRnz57VtWvXjPfm999/twmf2rRpk2goSnKOcefOnbp165bxHCNHjjSCwDZt2qhp06aJelRI0po1a2x6NUydOtUIbbp166YGDRro3r17slqtWrhw4UPDJ0nq2rWrPvjgg0TLa9asqX379kmK+92PHDlSkmyGxzVv3vyhd657mFatWhl3VTt27JjOnz+vQoUKKSgoyAgr4p8z4VCtR1mzZo3xvnl6emrNmjXy8vKSFDff2ssvv2z0RFq7dq26dOkii8WiqlWrGr08Dhw4oKZNmxoBk5eXl4KDg/X333/r3r17io6ONj6LklS9enVJcXchi1eoUCFNmDBBFovFWBYTE/PQiaKT4p133tFbb70lSerdu7caNGhgXHR/++23Ri+YTp06GeHT+vXrNXToULm4uGjfvn0KDQ01jsfX1zfJr12kSBENGjTIZlhbvITD7W7fvm0TGDZp0kRffvmlzTHE975av369hg0bZjPMMj2oXbu25s6dK4vFIqvVql69ehl/pxs2bNCoUaOUMWPGNNWuJWSxWLRw4UKVKlVKUtzw10WLFkmSTS8/Sfrf//6nqKgoHT16VBcuXFBYWJhy586t6tWra82aNZKk3377TVFRUQ8d5vc0r5WQm5ubVq1aZfTMi4iI0Pbt2xPtl5zPOgA8TwifkuD06dPy9/dX+fLlFRsbK6vVmqznOXfunHr27Knq1avr888/V2RkpGbNmqVu3bpp48aNSermDABpxaFDh4yfY2JiHjo5c7z4XjGenp5GoBQWFqaXX35ZZcuWVYECBVS8eHHVqFFD+fPnf+pa3nzzTX3zzTeKjIzUqVOndPToUZUvX94mgEjqN/MJj+uPP/547JcDhw8ffuJF2n+xb98+jRw50mbi94f5559/nuoOa8k5xgcvzlq0aGH8XKBAAVWqVOmhPWnigwcprndcwt5C2bJlU506dYzfU8JtH/T2228/dHmnTp2M8OmHH37Qe++9p5iYGPn7+xvbPM1dtlq0aKEpU6YYIen69ev1zjvv6Mcff7TpdZTU50z4Xt+5c8dmSN2DDh8+bFyQVqtWzQif4nvvxT9XmzZttGTJEkVEROjo0aOKiIgwggVPT0/j91mkSBEjqDp79qwaNmyoUqVKqWDBgsbnLV++fEk6jgcl/P27u7urfv36RgDw999/G+saN26sTz/9VDdv3tTt27e1fft2NW3aNNnhYLz44XcJe9y9+uqrNu3QsWPHjN+jlHiYZKtWrYzwKSYmRseOHUtSb7a0pHnz5kagaLFY1Lx5cyN8ioqK0qlTp1S+fPk01a4lVKFCBSMMkmQzfPfBYbo//PCDJkyYkGhIW0KRkZG6ffu2cubM+Z9eKyFfX1+bIaGP2i+5n3UAeF442LuA9MDX11f+/v6aOnWqSpcunezn2b59u6xWq7766ivVqVNHDRo00BdffKHg4GDjxBkA0ovHnaw/KCgoyPh58uTJxrwvN27c0I4dOzR//nwNHz5c9erVS9bQl/ghf/FWr16tGzduGBftzs7Oeu2115L0XMk9rkd5cB6bhPMWPc7169fVr1+/JwZPkmzuNpUUyTnGhHMdZcqUKdHExI/6AiXhaz1sAuSEyxK+RkJZsmR5ZI+UevXqGYHlnTt39NNPP2n37t2KiIiQJJUsWdLmgvNJcubMaQwvleIueK1Wq00PmtKlSz9yXpkHJffvKb73kiSdOnVKt2/fNoKW6tWrGxO079+/32bIXZUqVYweLa6urvryyy+NCY4vX76sn376SbNmzdKQIUNUp04dLViwIMn1JZQtWzabxwl/jxEREcbfpLOzs9q1a2esW716daIhd2+88cZTv76Dg4PRWyfegxPOP/jeP1jzg48f9ff34JeOT/t5S4rkvkZSjymttGsPejD8fLAnbLzjx49r+PDhjw2e4j3qvUvqaz3owZ6jj9ovpd9jAHjW0PMpCeJP4h7HarVq/vz5WrVqlQIDA5UrVy517txZ3bp1M7aJioqSi4uLzWS3jPcGkF4lnNTb1dVVgwYNeuS2Cdu6EiVKaNOmTTp58qT+/vtvXbhwQX///bf27Nmj2NhYLVy4UPXr17e5+E6KTp06GT0vNm3apBdeeMHoDZLwrmRJOa74oROVK1d+7FxBFStWfOLz1ahRQ6tWrTIer1mzRh9++OET99u1a5cxZ5EUdze1N954Q5kzZ9aZM2eealL2ByXnGOPnjZKku3fvKiIiQhkyZDCW3bx585GvFe/ff/9NtD7hsoSvkdDj7sDl4OCgjh07GncDW716tU1Q9TS9nuK1atXKmKw8MDBQq1at0p9//mmzPqkSHn+OHDkeOam6JJvea0WKFFGOHDl08+ZNxcbGavny5bp7964cHR1VoUIF+fj46I8//tCBAwdshtc92NuiRo0a2rFjh44fP66AgABdvHhRhw8f1oEDBxQVFaVJkybJ19dXBQoUSPIxSdKtW7ds6k34e3R1dbW5QG/btq1mzpypqKgo/frrr/r222+NIXelSpVKdi+bhEMIHybhex9f8+Mex//9PXjel/D9DQsLe+jf8dN63GvExsbq0qVLSXqepB5TWmnXHvTg8LhH/U63bNlitOcWi0Wff/656tevLzc3N/n7+6tPnz4p9loPenB47aP2S+5nHQCeF4RPKeR///ufVq9erbfeesvo3jx58mS5uroac2K8+uqrmjt3rr788kt169ZNkZGR+uKLL5QnT54kTYQKAGlJwguU+/fvq2jRog8dsnL06FGbC9ETJ06oZMmSKl68uE3vkddee00nT56UFDdsJz58SnjinzCMeVDp0qVVsWJFHT58WPfu3dPXX39trHuayXArVqxozOfx77//qm3btnJ3d7fZJiIiQlu2bFGlSpWe+HwNGjRQvnz5jInZly1bpnLlyql58+aJto2/JbmPj4/NPElSXIgSH+IlvEvYgx68UIrvAfRfj7FMmTI26zdt2mS8rxcvXrQZcvLga8XXGxQUJH9/f+Pv5NatWzZ3pEvKRe/DvP7665o6daru3bunP/74w/h7c3Z2fuj7/CQNGjSQp6en0ZMhYW88Z2dnm152T5Lw+G/fvq1atWolClusVqt+/fXXRENOq1WrZswxuWTJEklx4a27u7txt6yjR4/aDC1LGNrev39fV65cUZEiRVS2bFljzjOr1aoqVaooNDRUsbGxCggIeOrwaf369cacT2FhYdq1a5ex7sFe4jly5FCjRo20ceNGWa1WffbZZ8a65E5UnRTlypWTo6Oj8f6sXbvWpo1KeNdNR0dHozfZg18MHjlyxOitOWvWrGRPv5DQg0HrkSNHjNpWrVqV5J4xGzZsUIsWLYw5nzZs2GCsc3Z2VrFixSSlnXYtuRK2h5kzZ1aTJk2MAO9x7WFq+i+fdQB4HhA+pYBLly5p6dKlGjNmjNHlu2bNmoqIiNA333yjtm3bysHBQQULFtTChQvVt29fzZw5U1JcF+AFCxbQAwqAKb7++mstXbo00fKcOXMa7VBy1atXz+bOYP369dMrr7yiIkWKyGq16tKlSzpw4IACAwM1ceJEY46RN998Uzlz5pSPj49y5swpd3d3BQQEGMGTZHvxl3B4x/HjxzV+/HjlyZNHzs7OiebM6Ny5szE0Kb4nQY4cOfTSSy8l+bi6d++uHTt2yGq16uLFi2rWrJkaNmyo7NmzKzQ0VKdOndL+/ft17969R95aPCEXFxdNnDhRPXv2VFRUlGJiYvTuu+9q2bJlqlatmtzc3HT9+nX99ttvOnv2rCZOnCgfHx+beUUkyc/PTy+99JJOnjyZ6HbjCT04HGbMmDF66aWX5OjoKF9fXxUqVChZx/jyyy8rW7ZsRu+Jjz/+WMeOHVPmzJm1bt26h042LsX1Epo+fbpx8Thw4EC9/vrrcnd318aNG3Xv3j1Jcb0Junbt+sT382E8PDzUvHlzffvtt5L+f9iNr69vsiaQdnFx0auvvqrly5dLsg09n/Y5W7durRkzZuj27duKjo5W+/bt1bhxYxUoUECRkZE6f/68/vjjD/37779avHixzUVp9erVjfApfrhR/AV8hQoV5OjoaBMuZsuWzbijoRQ35Cr+zpVly5ZVzpw5lSFDBh08eNDoeSQ9usfZ43z55Zc6d+6c8ubNq59++slmONSbb76ZaPvOnTsbxxL/2XRxcXmqIO9pZcmSRa1atdJ3330nKS6kCA0NTXS3OyluDqv432vhwoWVKVMm3b17V1LcZ2j37t36999/H3lXx6fl7u6uggUL6sKFC5KkmTNn6sSJE4qIiNBvv/2W5Of5+eef1bVrV1WpUkUHDx60uQtd8+bNlTFjRklpp11LroTtYUhIiPr06aOKFSvq0KFDNr9He/ovn3UAeB4QPqWAX375RZL0yiuv2Jx816xZU3PmzNG1a9eUL18+nT9/XgMGDFCtWrXUsmVL3b9/X/Pnz1fv3r21cuXKh86FAQD/RWBgoPHNdEIP9qpJDicnJ33zzTfq2bOnAgMDFRUVpU2bNiVp3ytXrhh3tXuQt7e3GjdubDxu0KCBpk+frtjYWMXGxho9QNzc3BKFT6+88opy5sypGzduGMtee+21JN2VLJ6Pj48++ugjTZgwQdHR0bp27ZoWL16c5P0fplq1apo7d67ee+89o7bDhw8/9kLW19dXxYoV06lTpxJt36pVK5teGwl5e3urVKlSxqTPf/zxhzEReL58+VSoUKFkHWOGDBn0v//9T/3791d0dLSioqKMu+p5enoaF/SS7bAUDw8Pff311+rbt69CQkIUERGhZcuW2Ty3g4OD3nvvvUfe6S4pOnfubIRP8f5Lr5pWrVoZ4dODy59G5syZNX36dPXt21e3b9/WvXv3jOGhT/KwoafxF/CZMmVSyZIlbSaCr1q16kOHBJ0+fdrmbngJlStXTlWqVElSPQlVqVJF69evT7S8Xr16Dw0vKlSooDJlytjU6+vra9wNzCwffvihLl68qP3790uKC2seDCsqVapk3CVRigtWunTpohkzZkiKCzO3bdsmKa4H4LVr1xINb0uOXr16Ga8bGxtr9B7Lnz+/nJ2dkzSPUtWqVfX777/r999/t1meL18+vfvuu8bjtNKuJVfr1q21YMEC43X27t2rvXv3Snp8e5ia/stnHQCeB0w4ngJu374tq9Wq6tWrq3Tp0sa/+LHe165dkyRNmTJF2bNn16RJk1SzZk3Vr19fM2fOVEhIyH8+AQAAeyhUqJBxh7GKFSvK09NTjo6OypQpk4oXL642bdrom2++sendMHr0aLVu3VrFixdX1qxZ5eTkJDc3NxUvXly9evXS6tWrbXo+lSxZUp9//rlKly5tM2fewzw4ubGUvACiY8eOWrt2rdq2bauCBQsqY8aMcnJyUvbs2VW1alX17dv3oRfej1O9enVt3bpVY8aMUb169ZQrVy65urrK2dlZ+fLlU+PGjfXVV1+padOmxrEsWrRIrVu3lpeXl1xcXFSsWDGNGzdO/fv3f+xrTZs2TQ0bNpSXl9cj5ydJzjHWr19fCxcuVNWqVZUhQwZ5eHjo5Zdf1rfffmszhOfBnjRVqlTRxo0b1aNHD7344ovKmDGjnJ2dlTdvXjVv3lwrV65Ujx49nur9fNCLL75oE9bkzJlTtWvXTvbzlStXzqYXkfT0vejiVapUSZs2bVLfvn1VunRpubu7y9HRUR4eHipdurQ6deqkBQsWJAqB8ufPb0wWHq9y5crGzw/2JHlwvidPT0+NGjVKzZo1U9GiReXl5SVHR0e5u7urTJkyGjRokBYuXPhU4Wy8uXPnqm/fvvL29jb+hvv3769p06Y98m+uc+fONo/NHHIXz83NTQsXLtT48eNVrVo1eXl5ycnJSZ6enqpatarGjh2rJUuWKFOmTDb7DRo0SEOGDLE5Pj8/Py1dutRmrrP/ok2bNho/fryKFCkiZ2dn5ciRQ+3bt9fq1auT/IVk//799emnn6pUqVJydXWVl5eXWrVqpZUrVyaafDwttGvJ5eXlpeXLl+uVV16Ru7u7MmTIoLJly+rrr79+6kDYTMn9rAPA88BiTYmB68+RESNG6K+//jK6jkvS8uXLNXbsWC1fvjzRZIZS3MWZu7u7mjZtqgoVKmjChAk269944w15e3vryy+/NLt8AHjmbdq0SUOGDJEU19viwd4wSL779+8/NAC8fv26mjZtqrCwMEnS4MGDjfmAUtOoUaOM33efPn00dOjQVK8Bj3bkyBFjeoJcuXJp165dcnR0tHNVAAAgNTDsLgXUqFFDUtwwFl9f30dulzdvXp04cUJWq9X4VjAsLEwXL15M9G0lACDpQkJCdOLECd26dUtTpkwxlnfs2NGOVT179u7dq8mTJ6tZs2ZGz4kLFy5o6dKlRvDk5uaWKj1a4l25ckWXL1/W2bNntW7dOklxQ0LjQw7Y1/3793XkyBGFhIQYw9gkqX379gRPAAA8RwifkiA8PFz+/v6S4uZPCQsL05YtWyTFjbUvVKiQOnbsqGHDhqlnz54qX768oqKidOHCBf3++++aPn26JKldu3bq16+f3n33XbVo0UKRkZGaP3++IiMj1aZNG7sdHwCkdydOnEg0/1OFChVMncz4eXX+/HlNmzbtoesyZcqkKVOmKEeOHKlWz9q1a23ubChJXbt2lbe3d6rVgEe7efNmos9m/vz5Ey0DAADPNsKnJLh165YGDRpksyz+8eLFi1WtWjWNHDlShQoV0rfffqtvvvlGmTJlUqFChRJNmvvll19q3rx5Gjx4sJydnVWqVCktXrxYBQsWTM1DAoBnksViUfbs2eXr66vBgwcbt+JGyihevLjat2+vAwcO6MaNGwoLC1PGjBlVoEAB1apVSx07dlTu3LntUpuTk5Py5cunN954Q7169bJLDXi8rFmzqnr16nr33XcTzbEEAACebcz5BAAAAAAAANPwlTAAAAAAAABMQ/gEAAAAAAAA0zDn0yMcPnxYVqtVzs7O9i4FAAAAAAAgzYmKipLFYlHFihUfux3h0yNYrVYxHRYAAAAAAMDDJTU3IXx6hPgeT2XLlrVzJQAAAAAAAGnPn3/+maTtmPMJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAApoqNtdq7BOC5kRY/b072LgAAAAAA8GxzcLDomxX7FHjjjr1LAZ5p+XJ6ql/7WvYuIxHCJwAAAACA6QJv3NGFwNv2LgOAHaSp8Gnz5s364YcfdPz4cYWEhKhAgQLq3LmzXn/9dVkslkfu5+vrq8DAwETLjx07JldXVzNLBgAAAAAAwGOkqfBp4cKFypcvn0aMGKEsWbLol19+0UcffaR//vlH/fv3f+y+jRo1Uo8ePWyWubi4mFkuAAAAAAAAniBNhU8zZsxQ1qxZjcc1atRQcHCwFixYoL59+8rB4dHzo2fPnl0VKlRIhSoBAAAAAACQVGnqbncJg6d4JUuWVFhYmO7du2eHigAAAAAAAPBfpKnw6WEOHjyoXLlyyd3d/bHbbdiwQWXKlFHFihXVu3dvnTx5MpUqBAAAAAAAwKOkqWF3Dzpw4IB+/PFHDR8+/LHb+fr6qly5csqbN68uX76smTNnqkOHDlq3bp3y58+f7Ne3Wq30uAIAAACA/8BisShjxoz2LgN4roSHh8tqtZr+Olar9bE3iIuXZsOnf/75R4MHD1a1atXUpUuXx247cuRI42cfHx/VqlVLTZo00bx58zR69Ohk1xAVFaUTJ04ke38AAAAAeN5lzJhRpUqVsncZwHPl/PnzCg8PT5XXSsrN3tJk+BQSEqLevXvLy8tL06ZNe+xE4w+TM2dOVa5cWcePH/9PdTg7O6to0aL/6TkAAAAA4HmWlF4RAFJWoUKFUqXn05kzZ5K0XZoLnyIiIuTn56fQ0FB9++23ypw5s91qsVgscnNzs9vrAwAAAAAAPK3UGuqa1HA5TU04Hh0drXfeeUfnzp3T3LlzlStXrmQ9z/Xr13Xw4EGVLVs2hSsEAAAAAADA00hTPZ/GjBmjXbt2acSIEQoLC9ORI0eMdaVKlZKLi4u6du2qq1evatu2bZKkjRs3ateuXapbt65y5sypy5cva/bs2XJ0dFT37t3tdCQAAAAAAACQ0lj4tG/fPknSJ598kmjdjh075O3trdjYWMXExBjLvb29dePGDU2YMEGhoaHKnDmzqlevroEDB/6nO90BAAAAAADgv0tT4dPOnTufuM2SJUtsHleoUCHRMgAAAAAAAKQNaWrOJwAAAAAAADxbCJ8AAAAAAABgGsInAAAAAAAAmIbwCQAAAAAAAKYhfAIAAAAAAIBpCJ8AAAAAAABgGsInAAAAAAAAmIbwCQAAAAAAAKYhfAIAAAAAAIBpCJ8AAAAAAABgGsInAAAAAAAAmIbwCQAAAAAAAKYhfAIAAAAAAIBpCJ8AAAAAAABgGsInAAAAAAAAmIbwCQAAAAAAAKYhfAIAAAAAAIBpCJ8AAAAAAABgGsInAAAAAAAAmIbwCQAAAAAAAKYhfAIAAAAAAIBpCJ8AAAAAAABgGsInAAAAAAAAmIbwCQAAAAAAAKYhfAIAAAAAAIBpCJ8AAAAAAABgGsInAAAAAAAAmIbwCQAAAAAAAKYhfAIAAAAAAIBpCJ8AAAAAAABgGsInAAAAAAAAmIbwCQAAAAAAAKYhfAIAAAAAAIBpCJ8AAAAAAABgGsInAHjGxMZa7V0C8FzhMwcAAPB4TvYuAACQshwcLPpmxT4F3rhj71KAZ16+nJ7q176WvcsAAABI0wifAOAZFHjjji4E3rZ3GQAAAADAsDsAAAAAAACYh/AJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYJk2FT5s3b9bbb7+tOnXqqEKFCmrRooW+++47Wa3Wx+5ntVo1e/Zs1atXT+XKlVPbtm115MiR1CkaAAAAAAAAj5SmwqeFCxcqY8aMGjFihGbMmKE6deroo48+0jfffPPY/ebMmaOpU6eqW7dumjVrlnLkyKEePXro8uXLqVQ5AAAAAAAAHsbJ3gUkNGPGDGXNmtV4XKNGDQUHB2vBggXq27evHBwSZ2X379/XrFmz1KNHD3Xr1k2SVLlyZTVu3Fjz5s3T6NGjU6l6AAAAAAAAPChN9XxKGDzFK1mypMLCwnTv3r2H7nPo0CGFhYWpSZMmxjIXFxc1bNhQe/bsMa1WAAAAAAAAPFmaCp8e5uDBg8qVK5fc3d0fuv7cuXOSpMKFC9ssL1KkiK5evaqIiAjTawQAAAAAAMDDpalhdw86cOCAfvzxRw0fPvyR24SEhMjFxUWurq42yz08PGS1WnXnzh1lyJAhWa9vtVof2eMKANIii8WijBkz2rsM4LkTHh7+xBukAMDzivMTIPWl1rmJ1WqVxWJ54nZpNnz6559/NHjwYFWrVk1dunSxSw1RUVE6ceKEXV4bAJIjY8aMKlWqlL3LAJ4758+fV3h4uL3LAIA0ifMTIPWl5rmJi4vLE7dJk+FTSEiIevfuLS8vL02bNu2hE43H8/DwUGRkpO7fv2/T+ykkJEQWi0Wenp7JrsPZ2VlFixZN9v4AkNqS8q0DgJRXqFAhej4BwCNwfgKkvtQ6Nzlz5kyStktz4VNERIT8/PwUGhqqb7/9VpkzZ37s9vFzPZ0/f14lSpQwlp87d0558+ZN9pA7Ka6RdHNzS/b+AADg+cBwEgAAkJak1rlJUsPlNDXheHR0tN555x2dO3dOc+fOVa5cuZ64T6VKleTu7q7Nmzcby6KiorR161bVqVPHzHIBAAAAAADwBGmq59OYMWO0a9cujRgxQmFhYTpy5IixrlSpUnJxcVHXrl119epVbdu2TZLk6uoqPz8/TZs2TVmzZlWxYsW0YsUKBQcHq2fPnnY6EgAAAAAAAEhpLHzat2+fJOmTTz5JtG7Hjh3y9vZWbGysYmJibNb17t1bVqtV8+fPV1BQkEqWLKl58+Ypf/78qVI3AAAAAAAAHi5NhU87d+584jZLlixJtMxiscjPz09+fn5mlAUAAAAAAIBkSlNzPgEAAAAAAODZQvgEAAAAAAAA0xA+AQAAAAAAwDSETwAAAAAAADAN4RMAAAAAAABMQ/gEAAAAAAAA0xA+AQAAAAAAwDSETwAAAAAAADAN4RMAAAAAAABMQ/gEAAAAAAAA0xA+AQAAAAAAwDSETwAAAAAAADAN4RMAAAAAAABMQ/gEAAAAAAAA0xA+AQAAAAAAwDSETwAAAAAAADAN4RMAAAAAAABMQ/gEAAAAAAAA0xA+AQAAAAAAwDSETwAAAAAAADAN4RMAAAAAAABMQ/gEAAAAAAAA0xA+AQAAAAAAwDSETwAAAAAAADAN4RMAAAAAAABMQ/gEAAAAAAAA0xA+AQAAAAAAwDSETwAAAAAAADAN4VMaERtrtXcJwHOFzxwAAAAApA4nexeAOA4OFn2zYp8Cb9yxdynAMy9fTk/1a1/L3mUAAAAAwHOB8CkNCbxxRxcCb9u7DAAAAAAAgBTDsDsAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGkInwAAAAAAAGAawicAAAAAAACYhvAJAAAAAAAApiF8AgAAAAAAgGmc7F1AQhcvXtS8efN09OhRnT59WoULF9bGjRufuJ+vr68CAwMTLT927JhcXV3NKBUAAAAAAABJkKbCp9OnT8vf31/ly5dXbGysrFZrkvdt1KiRevToYbPMxcUlpUsEAAAAAADAU0hT4ZOvr68aNGggSRoxYoT++uuvJO+bPXt2VahQwaTKAAAAAAAAkBxpas4nB4c0VQ4AAAAAAAD+o2cm7dmwYYPKlCmjihUrqnfv3jp58qS9SwIAAAAAAHjupalhd8nl6+urcuXKKW/evLp8+bJmzpypDh06aN26dcqfP3+yn9dqterevXspWOnDWSwWZcyY0fTXAWArPDz8qeaWSw9oTwD7eBbbEwBIKZyfAKkvtc5NrFarLBbLE7d7JsKnkSNHGj/7+PioVq1aatKkiebNm6fRo0cn+3mjoqJ04sSJFKjw8TJmzKhSpUqZ/joAbJ0/f17h4eH2LiNF0Z4A9vEsticAkFI4PwFSX2qemyTlZm/PRPj0oJw5c6py5co6fvz4f3oeZ2dnFS1aNIWqerSkpIQAUl6hQoWeuZ4KtCeAfTyL7QkApBTOT4DUl1rnJmfOnEnSds9k+JRSLBaL3Nzc7F0GAJPQ/RtASqE9AQAAaUlqnZskNVx+ZiYcT+j69es6ePCgypYta+9SAAAAAAAAnmtpqudTeHi4/P39JUmBgYEKCwvTli1bJElVq1ZV1qxZ1bVrV129elXbtm2TJG3cuFG7du1S3bp1lTNnTl2+fFmzZ8+Wo6OjunfvbrdjAQAAAAAAQBoLn27duqVBgwbZLIt/vHjxYlWrVk2xsbGKiYkx1nt7e+vGjRuaMGGCQkNDlTlzZlWvXl0DBw78T3e6AwAAAAAAwH+XpsInb29vnTx58rHbLFmyxOZxhQoVEi0DAAAAAABA2vBMzvkEAAAAAACAtIHwCQAAAAAAAKYhfAIAAAAAAIBpCJ8AAAAAAABgGsInAAAAAAAAmIbwCQAAAAAAAKYhfAIAAAAAAIBpCJ8AAAAAAABgGqeUeiKr1arffvtNkZGRqly5stzd3VPqqQEAAAAAAJBOJSt8mjJlig4dOqQlS5ZIigueevTood9++01Wq1V58+bVwoUL9cILL6RosQAAAAAAAEhfkjXs7qefflK5cuWMx1u2bNGvv/6qd955R7NmzVJMTIymTZuWYkUCAAAAAAAgfUpWz6fr16+rQIECxuNt27apaNGi8vPzkyS1b99eK1asSJkKAQAAAAAAkG4lq+eTk5OTIiMjJcUNufv111/10ksvGeuzZcum27dvp0yFAAAAAAAASLeSFT69+OKL+uGHH3Tnzh19//33Cg4OVt26dY31V69eVZYsWVKsSAAAAAAAAKRPyRp2169fP7311luqXr26JKlSpUrGz5Lk7++vsmXLpkyFAAAAAAAASLeSFT7VqlVLa9eu1b59++Th4aGmTZsa6+7cuSMfHx+9/PLLKVYkAAAAAAAA0qdkhU+SVLRoURUtWjTRck9PT33wwQf/qSgAAAAAAAA8G5I159OQIUO0YsUKnTp1KqXrAQAAAAAAwDMkWT2fTpw4oR9//FEWi0UeHh6qWLGifHx8VKVKFZUuXVpOTsnuUAUAAAAAAIBnSLJSos2bNysoKEgHDx7UgQMHdPDgQU2ZMkWxsbHKkCGDypUrpypVqqh///4pXS8AAAAAAADSkWR3UcqaNasaNmyohg0bSpLu3bunLVu2aPbs2fr999/1xx9/ED4BAAAAAAA85/7T+Ljz588bPZ8OHDigwMBAubm5qXbt2vLx8UmpGgEAAAAAAJBOJSt8GjhwoA4ePKigoCB5eXnJx8dHnTp1UpUqVVSyZEk5OCRrHnMAAAAAAAA8Y5IVPm3dulUODg5q3Lix3nzzTVWsWFEZMmRI6doAAAAAAACQziUrfJo6daoOHDigAwcOqFevXrJYLCpdurQqV64sHx8fVa5cWZ6enildKwAAAAAAANKZZIVPr7zyil555RVJUlhYmA4fPqyDBw/q4MGDWr58uSIjI1WkSBFt2LAhRYsFAAAAAABA+vKfJ2dyd3dXwYIF9cILL8jb21tZs2ZVbGyszpw5kxL1AQAAAAAAIB1LVs+nU6dOaf/+/cZd7m7evCmr1aq8efOqcuXK8vPz4253AAAAAAAASF749Nprr8lisaho0aLy9fU15nnKkydPStcHAAAAAACAdCxZ4dP06dOZVBwAAAAAAABPlKzwydfXN6XrAAAAAAAAwDMo2ROOX716VaNGjVKjRo1UtWpV7d+/X5IUFBSk8ePH6++//06xIgEAAAAAAJA+JSt8OnPmjFq1aqXNmzfL29tboaGhio6OliRlzZpVBw8e1NKlS1O0UAAAAAAAAKQ/yRp299lnnylz5sxatWqVJKlmzZo26+vWravNmzf/9+oAAAAAAACQriWr59P+/fvVvn17Zc2aVRaLJdH6vHnz6vr16/+5OAAAAAAAAKRvyQqfrFarMmTI8Mj1QUFBcnFxSXZRAAAAAAAAeDYkK3wqVaqU/P39H7ouOjpamzZtUvny5f9TYQAAAAAAAEj/khU+9enTR3v37tXHH3+s06dPS5Ju3bqlX375RT169NC5c+fUp0+fFC0UAAAAAAAA6U+yJhyvW7euJk6cqAkTJhiTjr/33nuyWq1yd3fXp59+qipVqqRooQAAAAAAAEh/khU+SVLLli31yiuvaN++fbp48aJiY2P1wgsvqHbt2nJ3d0/JGgEAAAAAAJBOJTt8kiQ3Nzc1bNgwpWoBAAAAAADAMyZJ4dPVq1clSXnz5rV5/CTx2wMAAAAAAOD5lKTwydfXVxaLRUePHpWLi4vx+ElOnDjxnwsEAAAAAABA+pWk8GnChAkKCQmRs7Oz8Tgp4RMAAAAAAACeb0kKn1q3bq0yZcpo//79at68uZo1ayYXFxezawMAAAAAAEA6l+QJxxs1aqSdO3dq586dypQpkxo2bKjXXntN1atXpxcUAAAAAAAAHirJ4dPnn3+uiIgIbd++XRs3btSGDRu0bt06ZcuWTc2aNVOzZs1UpkwZM2sFAAAAAABAOpPk8EmSMmTIYARNd+7c0ebNm7Vx40YtWrRIixYtUoECBfTaa6+pefPmyp8/v1k1AwAAAAAAIJ1wSO6Onp6eateunZYuXardu3dr6NChypgxo6ZOnapXXnlF7dq1S8k6AQAAAAAAkA4lO3xKKFeuXOrVq5c++eQTvfzyy7JarTp69GhKPDUAAAAAAADSsacadvcwV69e1caNG7Vx40adPn1aVqtVFStWVPPmzVOiPgAAAAAAAKRjyQqfgoKCjPmejhw5IqvVqsKFC2vgwIFq3ry5vL29U7pOAAAAAAAApENJDp/u3bunbdu2aePGjfr1118VHR2tHDlyqGvXrmrevLlKly5tZp0AAAAAAABIh5IcPtWsWVP379+Xm5ubmjdvrubNm6t69epycEiRaaMAAAAAAADwDEpy+FSjRg01b95cL7/8slxdXc2sCQAAAAAAAM+IJIdPM2bMMLMOAAAAAAAAPIMYMwcAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANGkqfLp48aJGjRqlFi1aqFSpUmrWrFmS9rNarZo9e7bq1auncuXKqW3btjpy5Ii5xQIAAAAAAOCJ0lT4dPr0afn7+6tAgQIqUqRIkvebM2eOpk6dqm7dumnWrFnKkSOHevToocuXL5tYLQAAAAAAAJ4kTYVPvr6+8vf319SpU1W6dOkk7XP//n3NmjVLPXr0ULdu3VSjRg198cUX8vLy0rx580yuGAAAAAAAAI+TpsInB4enL+fQoUMKCwtTkyZNjGUuLi5q2LCh9uzZk5LlAQAAAAAA4CmlqfApOc6dOydJKly4sM3yIkWK6OrVq4qIiLBHWQAAAAAAAJDkZO8C/quQkBC5uLjI1dXVZrmHh4esVqvu3LmjDBkyJOu5rVar7t27lxJlPpbFYlHGjBlNfx0AtsLDw2W1Wu1dRoqiPQHs41lsTwAgpXB+AqS+1Do3sVqtslgsT9wu3YdPZoqKitKJEydMf52MGTOqVKlSpr8OAFvnz59XeHi4vctIUbQngH08i+0JAKQUzk+A1Jea5yYuLi5P3Cbdh08eHh6KjIzU/fv3bXo/hYSEyGKxyNPTM9nP7ezsrKJFi6ZEmY+VlJQQQMorVKjQM9dTgfYEsI9nsT0BgJTC+QmQ+lLr3OTMmTNJ2i7dh0/xcz2dP39eJUqUMJafO3dOefPmTfaQOymukXRzc/vPNQJIm+j+DSCl0J4AAIC0JLXOTZIaLqf7CccrVaokd3d3bd682VgWFRWlrVu3qk6dOnasDAAAAAAAAGmq51N4eLj8/f0lSYGBgQoLC9OWLVskSVWrVlXWrFnVtWtXXb16Vdu2bZMkubq6ys/PT9OmTVPWrFlVrFgxrVixQsHBwerZs6fdjgUAAAAAAABpLHy6deuWBg0aZLMs/vHixYtVrVo1xcbGKiYmxmab3r17y2q1av78+QoKClLJkiU1b9485c+fP9VqBwAAAAAAQGJpKnzy9vbWyZMnH7vNkiVLEi2zWCzy8/OTn5+fWaUBAAAAAAAgGdL9nE8AAAAAAABIuwifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaZzsXcCDzp49q/Hjx+vw4cPKlCmTWrRooXfeeUcuLi6P3c/X11eBgYGJlh87dkyurq5mlQsAAAAAAIDHSFPh0507d9S1a1cVLFhQ06ZN0/Xr1/XJJ58oIiJCo0aNeuL+jRo1Uo8ePWyWPSm0AgAAAAAAgHnSVPi0cuVK3b17V19//bW8vLwkSTExMRozZoz8/PyUK1eux+6fPXt2VahQwfxCAQAAAAAAkCRpas6nPXv2qEaNGkbwJElNmjRRbGys9u3bZ7/CAAAAAAAAkCxpKnw6d+6cChcubLPMw8NDOXLk0Llz5564/4YNG1SmTBlVrFhRvXv31smTJ80qFQAAAAAAAEmQpobdhYSEyMPDI9FyT09P3blz57H7+vr6qly5csqbN68uX76smTNnqkOHDlq3bp3y58+frHqsVqvu3buXrH2fhsViUcaMGU1/HQC2wsPDZbVa7V1GiqI9AezjWWxPACClcH4CpL7UOjexWq2yWCxP3C5NhU//xciRI42ffXx8VKtWLTVp0kTz5s3T6NGjk/WcUVFROnHiRApV+GgZM2ZUqVKlTH8dALbOnz+v8PBwe5eRomhPAPt4FtsTAEgpnJ8AqS81z02ScqO3NBU+eXh4KDQ0NNHyO3fuyNPT86meK2fOnKpcubKOHz+e7HqcnZ1VtGjRZO+fVElJCQGkvEKFCj1zPRVoTwD7eBbbEwBIKZyfAKkvtc5Nzpw5k6Tt0lT4VLhw4URzO4WGhurmzZuJ5oJKDRaLRW5ubqn+ugBSB92/AaQU2hMAAJCWpNa5SVLD5TQ14XidOnX0yy+/KCQkxFi2ZcsWOTg4qFatWk/1XNevX9fBgwdVtmzZlC4TAAAAAAAASZSmej61a9dOS5YsUb9+/eTn56fr169r0qRJateunXLlymVs17VrV129elXbtm2TJG3cuFG7du1S3bp1lTNnTl2+fFmzZ8+Wo6Ojunfvbq/DAQAAAAAAeO6lqfDJ09NTixYt0rhx49SvXz9lypRJb7zxhgYPHmyzXWxsrGJiYozH3t7eunHjhiZMmKDQ0FBlzpxZ1atX18CBA5N9pzsAAAAAAAD8d2kqfJKkIkWKaOHChY/dZsmSJTaPK1SokGgZAAAAAAAA7C9NzfkEAAAAAACAZwvhEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAAAAAADANIRPAAAAAAAAMA3hEwAAAAAAAExD+AQAAAAAAADTED4BAADgoWJjrfYuAXiu8JkD8KxysncBAAAASJscHCz6ZsU+Bd64Y+9SgGdevpye6te+lr3LAABTED4BAADgkQJv3NGFwNv2LgMAAKRjDLsDAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmIXwCAAAAAACAaQifAAAAAAAAYBrCJwAAAAAAAJiG8AkAAAAAAACmSXPh09mzZ9W9e3dVqFBBtWrV0qRJkxQZGfnE/axWq2bPnq169eqpXLlyatu2rY4cOWJ+wQAAAAAAAHikNBU+3blzR127dlVUVJSmTZumwYMHa9WqVfrkk0+euO+cOXM0depUdevWTbNmzVKOHDnUo0cPXb58ORUqBwAAAAAAwMM42buAhFauXKm7d+/q66+/lpeXlyQpJiZGY8aMkZ+fn3LlyvXQ/e7fv69Zs2apR48e6tatmySpcuXKaty4sebNm6fRo0enzgEAAAAAAADARprq+bRnzx7VqFHDCJ4kqUmTJoqNjdW+ffseud+hQ4cUFhamJk2aGMtcXFzUsGFD7dmzx8ySAQAAAAAA8BhpKnw6d+6cChcubLPMw8NDOXLk0Llz5x67n6RE+xYpUkRXr15VREREyhcLAAAAAACAJ0pTw+5CQkLk4eGRaLmnp6fu3Lnz2P1cXFzk6upqs9zDw0NWq1V37txRhgwZnqqWqKgoWa1WHTt27Kn2Sy6LxaJXq+ZQTGy2VHk94Hnm6OCgP//8U1ar1d6lmIL2BEg9tCcAUgrtCYCUkNptSVRUlCwWyxO3S1PhU1oS/+Yl5U1MKR7uTxeQAfhvUvPzndpoT4DURXsCIKXQngBICanVllgslvQXPnl4eCg0NDTR8jt37sjT0/Ox+0VGRur+/fs2vZ9CQkJksVgeu++jVKxY8an3AQAAAAAAgK00NedT4cKFE83tFBoaqps3byaaz+nB/STp/PnzNsvPnTunvHnzPvWQOwAAAAAAAKSMNBU+1alTR7/88otCQkKMZVu2bJGDg4Nq1ar1yP0qVaokd3d3bd682VgWFRWlrVu3qk6dOqbWDAAAAAAAgEdLU8Pu2rVrpyVLlqhfv37y8/PT9evXNWnSJLVr1065cuUytuvatauuXr2qbdu2SZJcXV3l5+enadOmKWvWrCpWrJhWrFih4OBg9ezZ016HAwAAAAAA8NxLU+GTp6enFi1apHHjxqlfv37KlCmT3njjDQ0ePNhmu9jYWMXExNgs6927t6xWq+bPn6+goCCVLFlS8+bNU/78+VPzEAAAAAAAAJCAxfqs3ssTAAAAAAAAdpem5nwCAAAAAADAs4XwCQAAAAAAAKYhfAIAAAAAAIBpCJ8AAAAAAABgGsInAAAAAAAAmIbwCQAAAAAAAKYhfAIewWq12rsEAAAAAADSPcIn4CF27typXbt2SSKEAvDfxMbG2rsEAM8QzksAAOkR4ROQQPwJ3eTJk7V//35JksVisWdJANKxK1euaO7cuQoKCrJ3KQDSsa1bt2rw4MGSOC8BAKRPhE9AAvHhk4+Pj+7evWuzDACe1s6dO7VixQotX76cAApAslitVv377786evSoTpw4Ye9yADwjAgICFBgYaO8y8BwhfAIUd2JntVrl4BD3kShevLh+//13hYWF8Q0jgKf2999/66OPPlKXLl302muvaefOnVqyZAkBFICnZrFYVLVqVUVGRuqXX36RxBdjAP6bmzdv6pNPPtGmTZtoT5BqCJ8ASXfv3rUJmUqUKKGoqCgaYwBPLSAgQB06dFCmTJkkSYMHD1atWrXk7+9PAAUgWYoWLaoOHTpo4cKFunz5Ml+MAXgqD17T5MiRQ0WLFtWGDRsUHBwsiTkqYT7CJzz3fv31V7300kvq0qWLPvjgAy1btkyOjo6yWq36888/7V0egHTkzJkzateunbp166YRI0YoOjpakjR06FACKABPLSYmxrhorFmzptzc3HT48GFjHQAkRXxgferUKeP6ZuTIkXJ0dNSHH34oSXJwcOCLd5iK8AnPvWzZsmnUqFFq2LChbt68qbVr12rIkCG6du2a9uzZQyMMIElOnjypzp07K2/evPLz85MkOTk52QRQtWvXJoAC8FiHDh3S6tWrJUmOjo7GRWOFChVUvHhxzZs3z1gHAEl18eJFvfbaa3r33Xe1YMECSdKwYcN0584dff/995K4oQHMZbFyZQ0YrFarLBaLLl68qOPHj2v48OHq2LGjhg4dKmdnZ3uXByCNCggIUNu2bVWjRg39/PPPateund566y1lz55dkhQdHS0nJydJ0hdffKFff/1VlStXlp+fn7JkyWLP0gGkIT/++KO+/vprhYSEKFeuXOrQoYNq1qypPHnySIqbT27gwIHq37+/WrZsad9iAaQLsbGxcnBwUFhYmD744APdunVLJ0+eVKNGjVS5cmX9/PPP8vDw0DvvvCMvLy/jeghIafR8wnPpp59+0tatW22WJRznXKBAATVt2lSTJk3S0qVLNWXKFEVGRqZ2mQDSgbNnz+r1119Xly5dNHPmTH355ZdaunSpZs6cqVu3bkmy7QE1ZMgQlS9fXsePH6dnJQDDihUrNHbsWA0ZMkTz5s1Tjhw5tGDBAr355ptatmyZ/v77b5UqVUr58uUzJh4HgCe5fv26JMnd3V0NGjRQ/vz5tWDBArm7u+vIkSM6efKkVq1aZVwbETzBLPR8wnNp5MiR+u677/TNN9/o5Zdffuy2W7du1cCBAzVy5Eh16tQplSoEkNbFfzM4d+5cOTg4qEePHsa3i9u3b1f//v3VqVMnvf3228qWLZsk2x5QQUFBypo1qz0PAUAasWrVKn388ceaOnWqGjZsaCw/evSoduzYobVr18rFxUWvvvqqPDw8NHnyZC1ZskRVqlSxY9UA0rrLly+rRYsWatKkifr27at8+fKpf//+cnFx0RdffKE///xTmzZt0sKFC5UvXz5t3LhRGTJkIICCKQif8FxJ2I10/PjxWr16tT7//HM1aNDgodtHRkbKxcVFv/32m3x8fIyLRgCIioqSs7OzYmJijJsUxP+XmtQACgA2b96swYMH63//+59ef/11SYnbiZMnT+qvv/7SN998IwcHB125ckVDhgxRnz597FU2gDQs/ponNDRUhw4d0oQJE5QnTx75+vqqZcuWGjRokBo3bqy2bdtKktatW6cKFSqoYMGC9i0czzTCJzw3tmzZol9++UUffvihXF1dJUljxozRmjVrHhpA3bhxQx9++KH69eunChUqSOKiEUCc06dPa9q0aWrcuLHq1asnNzc3SbbDdxMGUF27dlWvXr2UI0cOe5UMIA1asWKFxowZI0nq2bOnunXrZrQT8afoCXsg3Lt3T1u3btXp06c1ePBgzkkA2IgPncLCwpQpUyaFh4fLzc1N169f14oVK7Rnzx5FRUWpbNmyio6O1pAhQ5Q7d257l43nBP9j4bnh6OioVatWydXVVe+++65cXV318ccfy2KxaOjQoZo8ebLR1f3WrVsaOnSozp8/r9KlSxvPwUkeAElasGCBfvvtNx09elS7d+9W9uzZNXDgQDk5OdnM79SgQQNNnz5dffv2lbOzs4YMGSIHB6ZbBCAtX75cY8eO1YoVKxQZGamuXbsqIiJCb7/9trJnz55o2EtMTIzc3NxsJhrnSzEA8eKDp927d2vp0qUKDg5WlixZ1KVLF7300kt6++231aJFC3399df64YcfFB0drSpVqqhNmzb2Lh3PCXo+4ZkXP3ROknbt2qWBAwfqzTff1LBhw4weUGPHjtX333+vL774QhUrVtSAAQN0+/ZtrV+/Xs7OzpzcAbCxadMmHT16VO3atVNAQIAx71PVqlXVunVrFS1a1Gb73bt3K3/+/CpSpIidKgaQlgQEBGjQoEEaMmSIGjVqJEnauXOn+vbtq44dO6pv377GUF0ASKrdu3erf//+8vPzU3R0tK5evaoNGzZo3LhxNiHTmjVrtGXLFg0fPpxzE6Qawic801avXq2tW7fq008/NSb23blzpwYNGpQogBo3bpy+//57eXp6ysPDQ2vWrCF4AmAjfkLxkJAQNW/eXD169FDXrl0lxQVSH3/8sSSpTZs2qlSpks3EwQAQLzo6WoGBgSpQoIAxXNfBwUG7du3S22+/TQAF4KlFRkZq4MCBKlSokIYPHy4prsfk3LlzNWXKlEQ3Kbh//75xHQSkBvr+45lktVoVHBys0aNHa+/evRo2bJhu374tSfL19dVXX32lVatWadKkSbp//74k6aOPPlKrVq3k5eVF8ATARnh4uKS4i8OoqCh5eHjo3Xff1Z49e3Tjxg1J0p49e5QzZ071799fV65c0bvvvqt33nnHGIIHAFJciO3k5KQCBQpIimtXLBaLYmNjVb9+fc2YMUPLli3TjBkzdOvWLTtXCyC9iIqK0qVLl+Tl5SXp/4fh9ejRQ6+88ooxxDf+vITgCamNq2o8kywWi7y8vNSrVy+dPn1aZ86cUc+ePTV//nx5eXkZAdSgQYNksVg0bNgwubi46OOPPzYaaoInAJJ0/fp1jRs3Tm+88Ybq1asnZ2dnSVLRokV148YN/fPPP/rmm2+0b98+zZo1S6VLl1bLli117tw5eXl50Y4AsPGwed8sFkuiAGrAgAG6c+eORo4cKU9PTztUCiA9yZQpkypUqKCff/5Zbdq0MUZ9ODs7K1u2bLpw4YIxFQlgD/R8wjOtSJEiunDhgj799FM5OzurZ8+eCg4OlvT/PaC+++47jRw5UlFRUZLiTgCtVisXjAAkSZcvX1ZwcLCWLFmiffv2GctLliyp+vXr680339SOHTs0b9484wYFXl5eqlSpkgoXLmyvsgGkQw4ODrJarapfv74mT56swMBAZc6c2d5lAUhjYmJiJEl37tyx6SH50ksvKSIiQvPnz1dQUJBx44KYmBhlyZJFkZGRYtYd2AtzPuGZEj8fS0J+fn7Knz+/2rVrpwEDBsjd3V1z5swxuqT++OOPWrFihRYtWsRdqAA81K+//qpFixYpIiJCfn5+qlGjhqS4SYPff/99tWvXTm3btlVMTIwcHR3tXC2A9O7B85mHnd8AeL5s2bJFJUqUUMGCBSVJW7du1cyZMxUaGqrKlStrwIABypcvn+bOnastW7ZIkqpUqaIbN25o586dWrlypYoXL27HI8DzjvAJz4zVq1fr+++/V7t27VS2bFnjzg2bNm3Sxo0b9dVXX+nq1avy8/OTl5eXZs2aZQRQ8Ti5A5BQTEyMMR/LqVOnNGTIEHl5ealv376qWbOmJOmtt97S3bt3tWTJEjtXCyCt2b17t9zd3ZUnTx7ly5fPWJ7U8434qQAAPL+sVqtu376tmjVrql69eho9erRu3Liht956S23atFHOnDk1Y8YMFSxYUB999JGKFy+u3bt3a+/evQoICJC3t7d69uypYsWK2ftQ8JwjfMIzISgoSA0bNtTdu3fl6+urv/76S507d1atWrVUokQJNW7cWB06dFC3bt10/vx5DRgwQBEREVq3bp3c3d3tXT6ANOTq1asKDw83Auz4i8RFixZpypQpKlGihDJkyKDu3burbt26Onv2rF5//XWNGjVKrVu3tnP1ANKKgIAAtWzZUk2bNtXFixfVvn171ahRwyaEAoCkOnXqlDp16qRatWqpTp06CgwMVP/+/SVJN2/eVOfOnZUtWzZ9+OGHKlWqlKS4O9o5OTnRKxtpAuETnhm//vqrhgwZourVq6t+/fpat26d7t69q+LFi8vFxUWnTp3SlClTlC1bNp05c0YzZszQpEmTaIwBGGJjY9WqVStFRUXpiy++UIkSJSRJs2bN0vz58zVjxgzFxsZq7ty5xhA8Hx8fvffeexo6dKjy589v5yMAkFYEBQXpjTfe0GuvvaYyZcpo6tSpyp07t/Lly6dBgwYpY8aMcnV1NQJuejkBSCi+bYifp8nV1VWnTp1Su3btFB4errZt22r06NHG9tevX1eXLl2UJ08e9e/fXz4+PvYrHngIwic8U/bu3au+ffuqT58+ev3113X37l1NmTJFAQEBiomJ0dq1a407P8RjjhYACQUFBalt27bKli2bpk+fru+++07z5s3TZ599pjp16kiKC7uXLl2qa9euacKECSpatCg3KQBgiD+3+P777/X7779r0qRJOnv2rEJDQ/XRRx8pMjJS5cqVU8+ePfXiiy9yHgLARnzwdOnSJa1Zs0bly5dXlSpV5O7urvPnz6tDhw7KkyePPv/8cxUqVMgIr69fv64WLVqoQoUK+uqrr+Tq6mrvQwEMhE9I9x78xtDf318DBgxQq1atNGbMGElxXd/d3d3l7e3NN4sAHikqKkrOzs66ffu2WrZsqYiICFksFk2ePFm1a9e2Cav37t2rNWvW6N1332UYDYCHOnDggD744ANNmDDB6IXQvHlzZcqUSdmzZ5e/v798fHzk5+en6tWr27laAGlB/LVNQECA+vbtqzJlyui1115TgwYNjPOQs2fP6s0331T16tU1YsQI5c+f37jGuXnzpsLDw/XCCy/Y+1AAG4RPSJc2b96sQ4cOqXfv3vL09EyU6u/Zs0cDBgxQs2bNNHr0aDk7O0tiQnEATxYZGSkXFxcFBwerU6dOioyM1KxZs1SoUCFJtr0lw8PDlTFjRnuWCyCN2L59u9zc3IybEcSLnxx44sSJ6tKlizw8PPTVV18pa9as2rBhg/78808NHz6c3k8ADBcuXFC7du3Upk0b+fn52cxRG389c/LkSbVr1041atTQ+++/z9B/pHmET0h3bt++rWbNmun+/ft64YUXVK5cOdWpU0e+vr422+3Zs0cDBw5Uy5YtNWLECGXIkMFOFQNIq06fPq2ZM2eqe/fuypMnj7JlyyZJio6OlpOTk4KDg9WyZUvlzp1bY8eONe4UQ5AN4EEDBw7Uzp07NW/ePFWrVs3ohXDgwAFNmzZNp06dUrFixfTZZ58pZ86cifZnGgAAVqtVsbGxmjBhgkJDQzVp0iRjXVhYmK5du6Z///1X3t7eyp8/vwICAtS1a1cVL15cEydOpCc20jTCJ6Q7kZGRmjJliooXLy5vb2/t27dPCxcuVLNmzVSsWDF17tzZ2Nbf319+fn5699131atXLztWDSCtsVqt6tWrl/bt26eKFSsqb968Klu2rDp27Gj0lpTiAu9WrVrJ29tbH374oUqWLGnHqgGkVdHR0frwww+1c+dOTZs2zRhGFxMTo7fffltHjx7V3r175eLiIklMAwDgkfr37y9vb2+NGDFCUlzPyh07dmjLli3KlCmTrFarpk+frvLly+vEiRN6++23tXLlSuXOndvOlQOPRviEdOPff/9V9uzZJUkbNmzQ+PHjtWbNGuXLl083b97U/PnztWDBAlWpUkWNGjVS3bp1lT9/fh07dkylSpViMmAAiWzdulXHjx9XlSpVdPPmTU2aNEk+Pj7Kly+f+vbtK1dXV7m6uiooKEgvv/yyKlasqJkzZxoXjwCQsCdkdHS0hg8frj179tgEUEePHtX777+v4cOHq27duvYsF0A6MGjQIJ0/f17vvPOO9u/fr82bN6tGjRqqW7eucuXKpenTpys2NlZTpkyRh4eHMWUAkJYRPiFdWLZsmX777TeNHTtWWbJkkSQNHz5cWbNm1fDhwyVJTZs2VYECBZQjRw6dP39e+/fv15dffqnGjRtL+v9hNAAQ7+TJk+rXr58+/PBD1a9fX2FhYdq9e7eGDRumokWLqm7duqpbt658fHwUGhqqoKAgFShQwN5lA0gD/P39tXfvXgUHB6tZs2aqV6+epLieTsOGDbMJoG7cuKF33nlHJUqU0KhRo+xbOIA0K75HZFhYmDp37qx79+4pPDxc7733nqpUqWL0bBo9erTOnTunxYsX2+wHpGVciSPNW7VqlcaNG6evvvpKWbJkMRrXEiVK6Oeff9b9+/fVtm1beXp66vPPP5ebm5suX76sX375RQ0aNDCeh+AJgPT/J2hWq1XFixdX27Ztja7rWbNm1a5du5Q/f37VqVNH58+f15w5c9S+fXuNGjVKmTNntnf5ANKAb7/9Vl988YVq1Kih0NBQDRo0SPPmzZOPj48cHR01adIkDRs2TAMGDNDUqVNVo0YN+fr6avv27VwkAngki8Wi2NhYubu7a+3atbp27ZoyZ85sTDge337ExMSoQIECioyMlLOzM20K0gV6PiFNW7lypcaPH6/PP/9cjRo1sllntVrVuHFjXbx4UVWqVNHUqVONXlEJ0eMJgPT/bUHCEzdHR0f99ddfmjx5ssaMGaOZM2dqz549WrBggYoVK6awsDD9/vvvKliwoIoUKWLvQwCQBqxatUpjxozRl19+qYYNG+r69esaMGCABgwYoGrVqtkMfRk6dKj27t2rzz77TDVr1pSjo6McHBwIoAA81qNubBIeHq6ZM2dq1apVWrp0KecmSFcIn5Bm/frrr+revbtmzJih+vXrG8v79u2rZs2aqWnTplq5cqWWLVumyZMnq3jx4nasFkBadv78eS1dulT//vuvKlasqObNmxt3tpPi7lK1detW5c6dW7NnzzbuascFIoCEduzYoX79+mn06NFq166dsbxp06bKlSuXLl68qNq1a6t169aqUKGCrFar+vTpo9jYWM2bN08S7QqA5Jk7d64uXbokf39/zZw5kxugIN3hPtFIk2JjY3Xnzh3lyZNHa9euNZYPHDhQ586dU7ly5SRJVapU0Y0bN3Ts2DFJcSd0AJBQQECA2rZtqzt37igkJEQ//PCDtmzZIimuN5QU17aULFlSvXv3NoInSVwgApD0/+cX586dU968eXXt2jUFBQVJirsrVUREhGrXrq127dpp3bp1mjt3riIjI2WxWDR79mzNmTPHeC7aFQCPExsbm2jZ3bt3deHCBUVFRWnBggUET0iXGIuENMnBwUH169eXs7OzJk6cqP79+8vR0VGXLl3S7Nmz5e3trdjYWBUpUkSdO3fWV199perVqyt//vz2Lh1AGhIQEKB27dqpa9euGjx4sCRpwIABOn36tCTp/v37cnJyUo4cOeTp6am//vrLnuUCSKOuXr2qfPnyqXfv3rJardq8ebOsVqv+/vtv/fvvv1q8eLG8vb0lSdmzZ9cHH3ygs2fPqmTJkrJYLMY8Lg8bRgPg+RPfA/Lvv//WpUuXFB0drXLlyumFF16Qg4NDovYiU6ZMGj16tCIjI+Xm5mbHyoHkI3xCmuXq6qqXXnpJVqtVX331lU6fPi1/f3/lypXLZh6n4sWLq3r16sqXL5+dKwaQlly7dk0tW7ZUx44dNXjwYONEz8vLS3/++adat24tBwcHDR06VDVq1JCfn5+6d++uxo0bcyt0AIYjR45o3Lhxat++vd544w1jGN13332nsLAwTZ8+Xd7e3sa5iYeHh1588UVlypTJ5nkIngDEs1gs+umnn/Thhx+qcOHCOnHihIoXL646depo4MCBDw2gnJycmMcW6Rr/CyJNc3Fx0UsvvaSBAweqQIECGj16tKS4xjcqKkqS1LBhQ3322WdGIw0AUtyJXZ48eXTq1Cldv35dFotFc+bM0dq1a/Xaa6+pUaNG8vT0VJ8+fRQQEKDSpUurSZMmKly4sL1LB5CGODs7K3fu3Fq/fr3WrVsnSXrrrbfUsWNH5cyZU9u3b1dgYKBxQ4PvvvtO+fLlozc2gEc6deqUxowZo/fee0+LFy/Wjh07VKNGDe3Zs0dff/21JAJrPHuYcBxpQlRUlJydnR+5PjIyUnv27NGnn36qIkWKaObMmYn2YwJPAA+6evWqunfvrly5cqlChQpatWqVJk+erNq1a0uK69HQo0cPvfPOO+rSpYvu3r2bqLcCAAQEBGj27Nn6559/9Oabb6ply5aSpJkzZ2rLli2qWbOmOnXqpPHjx+vcuXPasGGDnJ2dGWoHwEZ8m7BlyxZNmTJF3377rby8vCRJ//77r+bNm6fDhw9r2rRpypEjh32LBVIY/xvC7v744w+tWbNGZ8+efeQ2Li4uqlOnjoYPH67z588bd5hJGFgRPAF4UN68ebVgwQLduXNHs2fP1siRI1W7dm2jl2S+fPmUL18+ZcmSRZKYRwGAjfi2okSJEurdu7dy586tb7/91qYHVNOmTfX777+rVatWNsFTdHQ0wRPwHItvP6xWq3HTgps3b0qSMmfOrKioKF2/ft3YNnv27OrQoYOOHDnCHJR4JvE/Iuxq7dq1Gj58uM6cOaO7d+8+dtv4AGrQoEHKnTs3Q+wAJEnevHk1Y8YMFS1aVMuWLdO1a9eMC8KlS5cqIiJClStXlkSIDUDavXu3Dhw4YPRQiD/fKFmypPr06aM8efJo3bp18vf3lyT16dNHvr6+qlSpkjZu3GgET8zNAjzfHBwcdP78ea1YsUIWi0WbN29Wr169dPPmTb3wwgsKDw/X999/r4iICOO8JFOmTCpVqpQyZMhg5+qBlMewO9jN+vXrNWrUKI0fP161atVS1qxZE23zsKF0CYfa0Z0dQFLFD8HLkiWLZs+ercWLF2v27NlauXKlSpUqZe/yAKQR7dq105UrVzR16lRVqFAh0cS/x44d04QJE1SsWDGNHTvW2C/+nIXgCUC85cuXa+zYsWrdurXWrFmjiRMnqlWrVpKkHTt2qH///urYsaOaNWumPHnyaNmyZVqzZo2+++475c6d287VAymL8Al2cfXqVb3zzjtq166dWrdubSyPjIzUlStXFBsbq6JFi0piLicASZOUtuLq1avq1auXzp07p4wZM2rJkiUqU6ZMKlUIIC37/vvvdfv2bfXq1Uvt2rVTUFCQJk6cqIoVKxoBlMVikcVi0Xfffafx48dr+/btypo1qxFMcc4C4EFDhgzR5s2b9eqrr2ry5MnGEDyLxaJdu3YZN1TKkCGDoqKiNG3aNJUuXdqOFQPmoMsI7CImJkbBwcE2if7333+v999/Xy1btlSHDh306aefSmIYDIBHCw0NVUhIiKSktRV58+bVrFmzVLt2bS1fvpzgCYAkaeXKlfrwww9VoEAB47Gnp6fef/99HTlyxOj5FBMTI0ny8PBQ2bJllSlTJpse2JyzAJCkhP073N3dVa9ePW3cuFELFy6UFNdWxMbGqn79+lqxYoWmTp2qUaNGacWKFQRPeGbRJxh2ERwcrMjISJ06dUpZs2bV/Pnzdfr0aZUoUULjx49XaGioJk6cqFKlSql58+b2LhdAGnTlyhW1a9dO1atXV/HixdW7d2+bC0RHR8eH7pc/f37NnDmTYTEAJMXNPzlu3Dh9/fXXatCggSIjI+Xi4qLVq1erTZs2GjFihEaPHq2aNWvKyclJ9+/f19q1a5UjRw7mZQHwUBaLRYcOHZKTk5MxPHfBggX65JNPZLVa1b17dyO4jo6OVvny5e1ZLpAqOPNGqtm9e7dWrlypmTNnqmzZsmrRooWmT5+uuXPnysPDQ8OHD1fZsmWVNWtW3bhxQ0uWLFFwcLC9ywaQRv39998KCwuTr6+vpk6dqiNHjuiFF16Qn5+fcdviRyF4AiDFBU/vv/++WrVqpQYNGkiKu8FJ/PySq1evVqdOnTR27FjVrl1befPm1b59+xQUFKTVq1fLYrEw1A6Ajfi7240dO1bh4eEaN26cKleurO7du8tisWjSpEmKjY1Vq1attHLlSm3dulVLliyRu7s7bQmeacz5hFQRGxurzZs3a/z48apSpYqmTp0qSTp+/LgsFkuiyX5v3Lihfv36qUePHmrSpIk9SgaQDrRt21ZNmjRRhw4dtHr1av322286fvy4XnvtNdWuXVs+Pj7Gto/rDQXg+bNy5UqNGzdOjRs31tatWzV8+HB16tTJWJ/wBiefffaZAgICJEmFChXSiBEj5OTkRLsC4JHCwsLUo0cPxcTEaNiwYfLx8ZGjo6OWLVumcePGqVSpUrp48aIWLVrENAB4LhA+IdVERETI399fn376qUqUKKHp06dLUqK7wgQHB2v48OEKDQ3VkiVLOKkDkEh8u7Fu3Trt3LlTn376qTJmzChJ8vX1lSTdunVLrVq1UrFixdShQwd7lgsgjfnuu+80cuRIY6jdnDlz9MUXX2jkyJHq2LGjsV3Cc5SoqChJMgIpgicA0v/3dHJwcFB4eLhxPiJJd+/eVefOnSVJI0aMUOXKleXo6KhDhw7p2rVrKl++vLy9ve1VOpCqmHAcpotvkDNkyKB69epp2LBhCggI0IABAyT9//CXoKAgrVu3Tu+9955u3rypRYsWydHR0ZjcE8DzLTg4WBEREZL+v90oX768Dh06pN27d0uS3n//fUVGRmrq1KmaOXOmAgICtHr1al2/ft1eZQNIQ6xWq6Kjo3X06FHNmDFDDRo0kNVqVe/evTV06FCNHz9ey5YtM7Z3cnJSbGyspLjQKT54slqtBE/Ac+6XX37R5cuXZbFY5ODgoN9++029e/fW6dOnjW0yZcqkpUuXKjIyUv/73/+0f/9+RUVFqVKlSnr11VcJnvBcoecTTHPixAm5u7srf/78NrcUvX//vnbt2qVJkyapcuXK+uyzzyRJGzdu1LJly/Tiiy9q1KhRcnJyStQrCsDzKSwsTA0aNNAbb7yhfv362XyruGjRIu3bt09S3FDeOXPmGEN5g4KC5ODg8MQ5oAA8HyIiIozbmTs7OyfqvTR37lx9/vnniXpAAUBCR48e1eDBg+Xr66sePXoob968+ueff9S4cWNVrFhRI0eOVJEiRYwboQQEBKhNmzZ68cUX9cEHH9hMCwA8L+j5BFOcP39eQ4cO1bx58xQYGGhMnme1WuXq6qr69etr4MCBOnbsmBYtWiRJatasmSZPnqwxY8YY8ygQPAGQ4m5T3L9/fy1cuFDz589XeHi4sa5cuXI6deqULl68qBUrVhjBk9VqVdasWQmeAEiK+5Lro48+0t69e43ziwd7WPfq1UtDhw79v/buO77He///+EPyyRCRRMSKxIp5KCIobVEOPTUSGiOSooLECEGREzux66iKUXuVlsSoRswY9W3VaglFzRIxTqiQxojI+P3hl0+TRns4R5qQ5/126+12cl3vXNfr0tPLdT2v92Dy5MnZekCJiGRVp04dunbtyrFjx1i5ciWxsbGULl2aHTt2cO7cOUJCQrh48aJxRbuHDx/StGlTLCwsKFWqVB5XL5I39GYvuaJixYp4eHiwa9cuVqxYwQcffICTk5NxCJ6FhQXvvvsue/fu5dSpU8bfK1u2LKDu7CLym7S0NExMTOjWrRsWFhaMHTsWAF9fX6ysrHB1daVZs2b88MMPlCtXDkCrT4lINvfu3WP58uWYmJgwcuRImjZtiouLC7179zY+b2T2gurTpw8mJiZMnDiREiVK8M477+Rx9SKSH2T2Ysp8xvD398dgMPDVV18B4OPjQ/ny5dm4cSOenp5MmDCBAQMGULNmTfbv30+5cuWYNWuWcfiuSEGj8EleqIsXL/Lw4UNq1apFv379sLCwIDIyEiBbAJWWloalpSXOzs5cvnw5x4uiXhpFJCEhAQB7e3vjts6dO5OWlkZISAgZGRn07NkTa2trunTpwo8//siWLVto27at7iEiko2lpSWurq5YW1vTo0cPIiMjiYiIYO/evTRr1gwPD49svRF69epFiRIljAsYiEjBlhk8/fvf/+bkyZPcunWLf/zjH/Tq1Qtzc3PWrVsHZA+g+vTpwz//+U/MzMy4d+8eS5cuVfAkBZrCJ3lhoqKiWLlyJa6urhQtWpTy5cvj6+sLYPwi8P7771OhQgVMTU15+PAhp0+fplatWnpRFJFs4uLi6NSpEwaDAU9PT0qWLEmbNm2ws7Oja9euWFhYMHLkSODJMJnKlSvz+PFjdu7cybvvvquekyJilJ6ejsFg4P3336dr1640aNCAnj170rNnT8LCwvj4449Zvnw53bt3p27dujRu3BgAd3d3IOeqvCJSsGSdtykgIACDwUBsbCxLly5l5MiRdOvWjUePHhEVFQX8FkCtWrWKAwcO8OjRI9zc3HB2ds7jKxHJW5pwXF6I9evXM2XKFIYOHcqbb75JpUqVjDdqeDKB544dOyhVqhSdO3fG3Nyczz77jPj4eCIiIvRQJyLZREdHM2nSJOLj4/Hy8uLbb7/FYDBgY2NDly5dcHNz48SJE4wcOZKgoCB8fX05efIkhQsXxsXFJa/LF5F8IOuS55lD6qZPn05aWpoxvPbw8KBChQq4urqyZ88ejh49yuDBg/H398/L0kUkn8h8nzl79ixdunShT58+tG/fHhMTEwYOHEhqaiobN27E3NycJUuWsGXLFho2bEi3bt0UNon8jsIn+Z8dO3aMwYMHExwcTJs2bbLtu3//PkWKFAFg06ZNREdHs3v3blxdXbG3tycsLMw4ubh6KohIpvv377Nv3z4+/fRTqlWrxvTp0zl8+DCbN2/mzJkzXLx4kb///e/s2bOH5ORkxo4dq5WpRMRox44dHDp0iG7dulGpUiXj9m3btjF9+nSWLVvGiBEjMDc3Z+7cudjb23P9+nXOnz/Pm2++qY9iImJ09epV44q7kyZNMm7ft28fgwYNMo78AFi6dCnbtm2jRo0aDBgwgDJlyuRV2SL5jv5mlf/ZmTNnqFChAi1btjRuO3DgAPv37+eHH36gcuXKBAcH06FDB9q2bcu1a9ewtbXFzs6OQoUKKXgSkWwyMjIoUqQIb7/9NhkZGUydOpXRo0czbdo0GjduzC+//MK///1vdu/eTcOGDTl69CiNGjXK67JFJJ+4ePEigwcPxsHBASsrKzw9PY0BVOvWrdm+fTutW7emQYMGhIWFGeeVc3R0xNHREdBQOxH5jY2NDUWLFuXq1aucO3eOChUqYG5uTmpqKpaWllhbWxvnr+3duzfJyckcOHBA8zuJ/I56Psl/LfMmu2LFCjZv3sz06dNxcXFh2rRpnDx5kgcPHlCrVi127NhBnTp1WLRoUY5jZB2aJyIF171798jIyKBo0aLZFiBITk5m9+7dTJ8+nbp16xIWFpbjdxMTE7G1tf2rSxaRfOrRo0f4+PgQFxdH+fLlcXNzw9vbm/LlywPw5ZdfMnv2bBYuXEjVqlX1LCIifyjzI3lCQgLvvfceZcqUYe7cuSQnJ+Pl5UWHDh0YMWJEtrYAd+/exc7OLg8rF8l/FD7Jf2Xbtm2ULFkSNzc3jhw5wujRo7G2tiYhIQETExP8/f1p0aIFJUuWZN++fQQEBBAREcHf/va3vC5dRPKZK1eu4OfnR/ny5fH29ub111/HysrKuP/Bgwfs3buX6dOn4+bmxsyZMwFISUnB3Nw8x2qZIlJwZfZY+vrrr9m1axf29vbs2LGDpk2b4uPjQ8WKFUlLS6NNmza8/vrrTJgwIa9LFpF8LvO+kpCQQIcOHShevDgJCQm8/fbbhIaGAr99UFeYLfLH9F+GPLfw8HCGDh1KSkoKAA0aNCA0NJQOHTrQuXNnNmzYQOfOnSlZsiTw5AWxatWqFC9ePC/LFpF86scffyQjI4NGjRoREhJCaGgoc+bMAeDx48dYWVnRrFkzgoKCiImJoW/fvgCYm5sDKHgSEZKTkwGMQ+VKly7N8ePHad68OUFBQfzf//0fX3zxBRcvXsTU1JT+/fvz9ddfc/LkybwsW0ReAgaDgdTUVOzt7dm0aRPJycn8+uuv+Pj4GNtkPosoeBL5Y/qvQ57L2rVrmTBhAnPnzjUuRQzQuHFjevToQUBAAMWKFTN2OX306BEbN26kXLlyxjBKRCSrxo0bk5qaSqVKldiwYQP169dn586dfPDBB8ybN4+4uDisra1p06YNgYGBxMXFER8fn9dli0g+sWPHDiZMmMDOnTuBJ9MCVK9enXfeeYcpU6bw9ttv07t3b7755hvCw8O5ceMGtWvXxtXVVT2yReSZZA2gvvjiC2xsbAgNDeX8+fOAPoSJPAsNu5Nntm7dOkJDQ5k1a1a2ycU/+eQTBg8enC3pf/DgARcuXGD27NnEx8ezceNGzMzM1BVVRLLJ7MoeHh7O3r17mTJlinHy3zfffJO0tDQePXqEr6+v8WXy3r17WFtb53HlIpIfnD9/Hnd3dwwGAwaDgdatW1O1alV8fHy4efMm06ZNY8CAAdSsWZPPP/+czz//nNq1axMSEoKlpSWAFj4RkWeWdQhe586dKVy4MGFhYbi4uOR1aSL5nlIAeSbHjh1j7NixjBgxIlvwNHjwYNatW0dCQoJxW0pKChMnTuSTTz7BYDAYg6fU1FQFTyLC3bt3uX37NvDbEJkaNWpw5coVrl69CsDo0aMpVKgQX3zxBUFBQRw5coQpU6Zw584dBU8iYlSlShV69uxJ7dq16dixI5aWlhw7dgx3d3cOHjzIqVOnWLJkCQDvv/8+nTp14tGjR8Zhu4CCJxEBnvSazJSWlvbUfVl7QIWHhwNgYWHx1xUp8hJTzyd5JomJifTt25ekpCQWLFiAs7MzgYGBXLp0iQULFlC2bNlsk/6eOnWKW7du0bRpU0xMTLRksYgAT4KnHj160Lx5c7p3746Dg4Nx38SJE7l8+TK2trYcPnyYBQsWUKtWLQBu3LiBhYWFsVeUiEjWHksTJ07k/PnzNGjQgB49erB582bOnTtHVFQUdnZ2rF+/3nj/yHxeUW9sEcmUeV/Yv38/e/bs4fz58/zjH//Azc2N6tWr52if+W6j+4jIs1P4JH8qLi4OZ2dn4MlS6H5+fty5cwdHR0du377N/PnzcXR0NN6wMzIyOHToEPXq1TN+VdRNWUSymjFjBtu2baNz58507NiREiVKAHDixAkGDx6MpaUls2bNolq1alrJTkT+VNZnjMmTJ/P999/TunVrevXqhcFg4OjRoxQtWpQqVapkC6t0bxGR39u1axdBQUG0b9+ekiVLEh4ejouLC+PHj6dcuXJP/R3dS0SenRIB+UMXLlygVatWrFmzBgBra2sWL15MuXLl+O677wgKCsLR0RH4bZK97t27M3/+fMzMzIzHUfAkUrBlfuN4/PgxAMOHD6dDhw6sWbOGDRs2cOvWLQBq1apFlSpVKF26NNWqVcuzekXk5WFiYmIcHjN69GgaNmzItm3bWLRoEXfv3qVevXpUqVKF9PT0bMPr9LIoIlnFx8czd+5chg8fzvjx440jPqpVq/aHwRPoXiLyPJQKyB+qXLky/fr1Y+rUqaxbtw54EkDNmDGDBg0aEBoaytmzZ43t/f39uX37NkuWLNGNWERyyFwKHWDQoEF4enoaA6j4+HhMTEwYOHAgly9fJjo6GtBDnYj85ptvvuHAgQM5tpuamhoDqJEjR9KwYUN2797NmjVrSExMBPQhTET+XKFChTAxMcHDw4PY2Fjefvtt2rRpQ1BQEAAxMTEkJSXlcZUiLzf9TSx/asiQIfTt25fx48cbAygbGxvmz59PiRIlCAwM5Pz58/Tr14/Y2FgiIyONk4uLiFy9epX58+fj4+ND+/btGTZsGF999RXwZMGCzADqyy+/5NatW1SpUoUiRYrw3Xff6T4iIkZffPEFfn5+WFlZPXX/0wKoiIgI9uzZ81eWKSIvkcye2RkZGSQlJZGQkEBMTAx+fn40a9aMkJAQAM6dO8eKFSu4fPly3hUr8grQDNDyVFnnUAgICABg/PjxAHTu3Blra2sWLlxI//79cXd3x8XFhaioKGPwpMnFReTs2bMEBgZSq1YtKleuTJMmTVi/fj2HDx/m3LlzjBgxgsGDB1OoUCHWrFmDiYkJvr6+DB8+HCcnJ91HRASAtWvXMmXKFGbPnk2dOnX+sF1mAGVqaso///lPHB0d8fDw+AsrFZGXQdZFBzKH47q4uNC4cWP69OnDO++8w8SJE43tt2zZQlxcHKVKlcqrkkVeCXqyF6N9+/Zx48YNunbtatyW+RD3RwHU3LlzWb58OQEBAQqeRMTozJkzeHt74+PjQ9++fbGxsQHg3XffZf78+WzatAlra2v69+9PYGAgBoOBuXPnYjAY6NWrVx5XLyL5xfr165kwYQJz586lRYsWxu2RkZE0bdoUOzu7bO2zBlDdu3cHsq+KJyIFW2bwdODAAXbu3ElSUhKlS5cmMDCQvn37cvv2bU6fPs3XX3/NgwcPiImJYf369XzxxReULFkyr8sXealptTsB4MqVK7zzzjuYmJjQtGlTatWqhaenp3FC8Uxz587l008/JTQ0lM6dO2fbp+BJRABiY2Nxd3enV69eDBkyxPjil3mPuHLlChMmTCA+Pp6ZM2dSpUoVABYvXkyrVq2oUKFC3l6AiOQL+/bto2/fvgwbNgw/Pz/j9n79+nHp0iXWrVtnDLZFRJ5VdHQ0QUFBdO7cmcKFCxMdHY2pqSkbNmzgxx9/ZP369ezevZvSpUtTokQJRowYQfXq1fO6bJGXnpICAaBYsWJ4eXnRpEkTEhMT+e677/Dw8MDPz4/q1avTrFkzAAYOHEhaWhohISGYmZnRoUMH4xA9BU8ikp6ezoYNGyhSpAj29vbAbz0RDAYDGRkZlCtXjn79+tG9e3diY2ON4VPWl0sRETs7OxwcHLhw4QLnzp2jatWqBAYGcuPGDZYuXfrU4EnLnovIn/nll1+YN28eQ4cOpUePHly/fp2NGzfSpEkTzM3NcXNzw83NjatXr+Lg4EBaWhpFihTJ67JFXglKCwSAokWLYmVlxcKFC1m3bh0dO3Zk3759bNmyhTlz5tC5c2fefPNNWrRoweDBgzE1NWXMmDFUrlyZWrVq5XX5IpJPmJiY8P777/Pw4UOioqJITk7G398fU1NT0tPTjS+FNWvWxM7Ojvj4eEAvjCLymxs3bmBnZ0edOnUICwvjn//8J+np6dy6dYvbt2+zePFiSpcune2+cfDgQRo1aqT7iIj8qXv37nHv3j06depEfHw83t7eNG/enAkTJgCwe/du3n77bZycnPK4UpFXj1a7K8C2bt3Kpk2bjD8PGzYMS0tLVq5cCUCzZs2IiYmhXr16XLp0ifnz5/PWW29x5swZ+vTpQ82aNdm+fXseVS8i+VWpUqXw9/fntddeY9euXSxatAh4Ekylp6cDcPr0aUqWLEndunUB9MIoIgB8//339OzZk+joaJKTk3Fzc2PatGnExMQQExPD0KFDKV26NPDbfaN37958/vnnaCYJEflPbG1tKVu2LHv37qVr1640a9aMcePGAU+mIdm2bRtHjx7N4ypFXk3q+VRAZWRkcPDgQbZs2YKbmxvOzs6kp6dTo0YNYmNjAXB3d6d48eIsX76cx48f89NPP7F9+3aqVKmCqakpJiYmWFpa5vGViEh+VKJECfr168eCBQvYtWsXgLEHFMDOnTtxcHCgbNmyeVmmiOQjaWlpuLq6Urp0aVauXInBYKBFixbUr1+fjz/+mA8//JCoqCgcHByoXbs28OS+cuXKFbZu3aoQW0SMMsPo398XDAYDpqamDBs2jLZt2xp7PMGTlTUvX76suSdFcokmHC/Ajh8/zpQpU3BzcyMgIIAiRYrw888/4+npCcBrr71GWFiYcd6WrE6fPo2fnx8rVqwwztciIvJ7t27dYsGCBfz444+0bNkSf39/Pv30U1asWMHq1aupWrVqXpcoIvnAl19+yU8//cSoUaNITU0lICCA+Ph4/P39adGiBZaWlnz//fcEBwdTp04devbsydy5c7l8+TJRUVFacVdEAIiPj6dUqVLG+8H+/fv5+uuvycjIwMPDg9q1axMXF0e3bt2oUKEC7dq1w8HBgW+++YbIyEhWr16tycVFconCpwImJSUFc3Nz48/Tp08nMjKS5cuXG0Ok6dOnc/DgQcLCwnB2dn7qcdLS0khKSsqxxLGIyO9lBlBnzpwhJSWFs2fPsmbNGmrWrJnXpYlIHsvIyCA9PR1/f3/eeOMNevfuDfCnAdTo0aO5evUqlSpVYuPGjQqeRASAXbt2MXDgQFavXk39+vXZs2cPQ4cOpX79+ty5c4czZ87wr3/9i7Zt2/Lzzz8zZcoU4uLiMBgMlCpViqCgIAVPIrlI4VMBEhUVxebNmwkODqZixYrG7e3bt8fW1pbPPvsMeLL86OjRo1mxYgV/+9vfjKvZiYj8t27dusXMmTP54YcfCAsLo0aNGnldkojkI506daJ169b07t3bGCT9WQC1evVqZsyYYWyn4Emk4Mp8V4mPj2fOnDls27aNJUuWcPz4cQoXLoyXlxe//vorixYtYvny5UyZMoX27dvz8OFDkpOTycjIoHDhwhQuXDivL0XklabwqQDp3r07R44cwdHRET8/P6pXr46rqyv79+9nzJgxdO/enV69egEQEBDAL7/8wooVK3QjFpEXIiEhgfT0dBwcHPK6FBHJB7L2xu7QoQNdunTBx8cHeNLD2tTU1BhA3bx5Ez8/P5o3b57tuUTBk0jBlhk8Xbx4kR07duDu7k5YWBjR0dG4uLgwaNAgmjdvDsDjx48JCwtj2bJlxh5QIvLXUXeWAiBzdakRI0bw3nvv4ebmxvHjx1m8eDGrVq3izTffpF69ehw4cMA42XjdunVxcnLShOIi8sLY29sreBIRAPbu3cuyZcu4ceMG8CREKl68OPDkucXU1JSUlBQMBgPz5s2jZMmSTJkyhZiYGOC3yYQVPIkUXJnB05kzZ2jbti0GgwFnZ2dGjhxJx44dOX36NElJSca2ZmZmDBkyBD8/P4YNG8bOnTvz+ApEChb9jV0AZA6Zc3JyokiRItjb29OuXTtOnjxJaGgoV65coV69ekyePJm9e/fSs2dPfH19MTExoVChQhp2JyIiIi/U4cOH2bhxIwaDAXd3dwCsrKyA355bMntFZQZQc+bMoWHDhkDOFaxEpGDJfD+5cOECXl5eBAQE4O/vD0Dx4sUZMGAADx8+ZNy4cTg5OVGvXj0yMjIwGAwMHDgQMzMzXFxc8vgqRAoWDbt7hUVHR7Nnzx6Cg4MpUqQIBoOBmJgY/P39CQkJoU2bNty8eZNJkyZhb2/P+vXrSU1NZf369dSqVQt48mVRD3giIiLyon3yySds3rwZb29vVq5ciaurK5UqVSI1NZX09HQMBgMZGRnExcXRtWtXGjduDPw2JE9ECqbM4OncuXP06NEDe3t7tm7dCjwZWmdmZgY8Ge4/depUdu3axdKlS40BlN5tRPKGej69olJSUrhx4wY7d+7kzJkzxok869aty4gRI5g/fz5OTk7Url2badOmcfDgQeLj44mLi8s2EbBuziIiIvIiHDlyhJ9++omEhASGDBnC0KFDSU9PZ/HixaSkpHDq1CnS09O5ffs2KSkpFC1aFFNTUwoVKkSDBg2Mx1HwJFJwZR1q17VrV1577TUuX77MpEmTGDNmTLbVL+3t7Rk5ciQAffv2Zd68ecbekyLy11PPp1fcr7/+yujRo43LiE6aNIlixYqxePFiihcvTvfu3bG2tja2z/waoK+KIiIi8qJ8+eWXLFiwgCZNmmBra8ugQYOM+xYuXMjq1avx8vKiW7du2NnZPXUicT2biAjAjz/+iLe3N/369aN///6sX7+eTz75hHbt2jFmzBgg+2IECQkJjBkzhpMnT7Jz507NaSuSRxQ+vcIyvwxkZGQQHR1NREQE33//PX379uXGjRtcv36dkJAQnJycsj3QaY4nEREReVGioqIYNWoUH330ES1btjQOicn6cvjJJ58QGRmJt7c3np6eORYn0FAZEcl05MgRduzYYQyakpKS2Lp1658GUHfu3CElJYVSpUrlWd0iBZ3Cp1fc74OkRYsWsXXrVmxsbDh8+DCNGjVixYoVeVegiIiIvLLi4+MZPHgw7777Lj179syxP+tzyqxZs4iMjMTDw4NevXphY2PzF1crIi+bzGD63r17bNmyJUcAlXUOKBHJW5rz6RWxa9cuHj9+TOvWrbNt/30PJn9/f1xdXTl06BCHDx/m7t276ukkIiIiueL+/fvExsYaFzL5vay9mYYMGcKvv/7KhQsXKFq06F9Vooi8xDLvIdbW1rRt2xZ40pPS1NSUkSNHKngSyUcUPr0C1qxZQ2hoKKtWrfrTdplfBho0aEC9evVo3bo1FSpUwMTERAGUiIiIvHDx8fHcuXOHMmXKADmHzxUqVIhLly6xadMmhg4dyrhx44xtNNRORJ5HZgBlYmLC2LFjMTc3Z9iwYXldloj8fwqfXnJr165l8uTJzJkzJ9tKME+T9QHO1NQUFxcXQBN4ioiISO4oVqwYhQsXZuvWrfTo0QMLC4scbU6dOsXFixdJTk7G0tJSwZOI/Nesra159913MRgM1K1bN6/LEZEs1NXlJbZu3TomTpzI7NmzadWqlXH72rVriY2NfebjKHgSERGRFyktLQ2A6tWrU79+fT777DOOHj1KampqtnbJycns3LkTZ2fnbCtQKXgSkf9W0aJF6dChAxUrVszrUkQkC4VPL6mDBw8yduxYevXqRYsWLYzb+/fvz2effYatrW0eViciIiIFzYkTJ/jhhx+A7B+2QkNDKVasGKNHj2b79u3cu3cPgAsXLhAQEMC1a9eMQ2O0Do6IvAgKsEXyH61295L68ccfmTBhAqVLl8bHx4fGjRsTGBjI5cuX+fTTT3FycsrRZV3zOomIiEhuOHHiBF26dKFq1ao4OTnh5+dHhQoVKFasGPAkaBo1ahSnT5/G1tYWS0tLrK2tsbGxYdmyZZiZmWkaABERkVeYwqeXzM8//0ypUqUoUqQIJ06c4F//+hfW1tbcuXOHBw8esHjxYkqVKpUteNq1axctW7bM48pFRETkVXX06FHGjBnD1KlT2bBhAzdv3uT69esMGzaMKlWq4OjoCMCmTZu4du0apqamVK9enSZNmmBqakpqaioGg6YiFREReVUpfHqJnDx5klGjRtGmTRt69OiBlZUVx48fZ8aMGZw7d46goCA6duyY7Xf8/PxITk7ms88+U/dTERERyTWBgYFYW1szZcoULl68yP/93/8RHh6OjY0NzZs3x9fXFwsLixzPI+rxJCIi8urTGKyXSNWqValRowZff/01a9as4cGDB9SpU4fg4GCqVq1KdHQ0e/bsMbb38/MjNjaWZcuWGVeOEREREXkRjh07xqVLl4w/9+jRg19++YULFy7g4uKCr68v9+7dw9LSkhUrVtCrVy/69OnD/fv3sx1HwZOIiMirT+HTSyItLQ1zc3PGjx9PjRo12LFjB2vXruXBgwfUrFmT4cOHc//+fSIiIti3bx/9+vXjypUrbNmyBTMzM1JTU9XzSURERF6Iq1evMnXqVKZPn25cYbdSpUrcuHGD3bt3A+Dh4YGzszNLlixh+/btvPHGG9jb22db1U5EREQKBg27e4k8evQICwsLAJo1a4a1tTWenp54e3tjZWXFiRMn+Pjjj/nhhx8oX748mzZtMgZPmkdBREREXqSIiAi2bNmCnZ0dgwcPplKlSnzzzTdMnjyZpKQkypUrx7x587C3twfI9jyioXYiIiIFi8KnfGzbtm08evSIDh06ZHtIGzZsGGfOnKFq1apcvXqVd9991xhAHTt2jM2bNzNq1CgMBoOCJxEREXmhsi5qsnHjRjZu3Ejx4sUZOnQoDg4OfPDBB1haWrJ8+XLMzc1z/I6IiIgUPBp2l089evSIs2fPEhwcTGRkpDF4CgwM5OzZs3z++efMnDmT6tWrs2PHDsLDw7l//z6urq6MGzdOwZOIiIjkiqzzSHp6euLp6cnt27eZNWsWjx8/xtvbmzNnzpCYmAgoeBIRERFQMpEPbdq0ibi4OAYNGkR6ejqjRo3CysqKqKgoLl26xMKFC7GzswNg7NixTJo0idWrV1OiRAnatWtnfMhT8CQiIiK5ITOAKlSoEJ6engCsX7+eCRMm8MEHH9CoUSM+//xzAgICMDMzy+NqRUREJK8pnchnwsPDGT9+PAsXLsTU1JQPP/yQtLQ0Bg4ciL29PRs2bKBMmTLAk7kTzM3NGTNmDCtXrqR169YA+rooIiIiue73AVRGRgabNm1i2bJlXLhwgRIlSmheJxEREQE07C5f2bRpExMnTmThwoU0a9bM2KV9xIgRDB48mLt37xITE2Nsnzm0ztzcHD8/P0xNTUlLS8uj6kVERKSgyToEr2PHjnh4eJCWlkb16tXp06cPJiYmaHpRERERUfiUT2zcuJHg4GAaNmxIs2bNALIFSf3798fX15cRI0YQFRVl3P77oXX6wigiIiJ/pawBVOfOnWnatCk3btzg4MGDpKen53F1IiIikh8ofMoHIiIiGD16NJ06deL8+fNMmjQJeBIsZQ2gRowYQc+ePRk9ejTr1q3Lq3JFREREsskaQHl5eVGsWDH27NmDiYmJpgMQERERzfmU11asWMG0adOMQ+3Wrl3LrFmzABgzZoxxKF1mj6bhw4eTlJREZGQknTt3zsPKRURERH6TdQ4oR0dHEhMTSUlJwdzcPK9LExERkTxWKEMD8fPU4cOHuXXrFm3btgUgKSmJrVu38sknn9CuXTvGjBkDkC2AAi1bLCIiIvlTQkICAQEBhIaGUrVq1bwuR0RERPIBhU/5RNYw6d69e2zZsiVHAJWampptjicFUCIiIpIfPXr0CAsLi7wuQ0RERPIJDbvLJ7KGSNbW1saeULNmzcLExIRRo0blmFxcwZOIiIjkRwqeREREJCuFT/lUZgBVqFAhxo0bR9myZfnggw/yuiwRERERERERkeeiYXf53K+//srhw4dp3rx5tjmfREREREREREReBgqfXiK/n/NJRERERERERCS/U/gkIiIiIiIiIiK5xiSvCxARERERERERkVeXwicREREREREREck1Cp9ERERERERERCTXKHwSEREREREREZFco/BJRERERERERERyjcInERERERERERHJNQqfREREREREREQk1yh8EhERERERERGRXKPwSURERAqE7t27065du7wuI5tDhw5RrVo1tm/fntelvBCZ13Po0KG8LkVERETyEUNeFyAiIiIvjz59+nD8+HG2bduGg4NDtn1JSUm0bt2aMmXKEB4ejonJ//aNa86cOcydO/c/tmvYsCGrVq36n86VGw4dOsSqVas4duwYiYmJFC1alDp16uDp6ck777yT1+XlqY0bNzJy5EjMzc3ZtWsXpUqVyra/e/fu3Llzh6ioqDyqUERERF4khU8iIiLyzMaPH4+7uztTp07l448/zrZv5syZ3LlzhyVLlvzPwRNAq1atKFeunPHnBw8eEBISQqtWrWjVqpVx++9DsPxg9uzZzJs3jwoVKuDl5YWjoyN3795l3759DBo0iBkzZuDu7p7XZea5lJQUFi1axNixY/O6FBEREclFCp9ERETkmTk7OxMQEMCMGTN47733eOuttwA4ceIEa9eupVevXlSvXv2FnKt69erZjpWQkEBISAjVqlWjffv2L+QcuWH79u3MmzePf/zjH3z88ceYmZkZ9/Xp04dvvvmG1NTUPKww/6hRowYRERH4+/vn6P0kIiIirw7N+SQiIiLPxdfXl2rVqhEaGsqjR49IS0sjJCQER0dHBg4cyIEDB/Dx8aFu3brUr1+f/v37c/HixWzHCA4OpkWLFjmOPWfOHKpVq/bMtWzcuJFq1apx9erVbNv/bO6hkydP0rVrV2rXrk2LFi1Ys2ZNjjYpKSnMnj2bVq1aUatWLZo1a8b06dNJSUn5jzWFhYVhZ2fHlClTsgVPmZo0aULz5s2zbUtPT2f+/Pk0bdqU1157jQ8++IDY2Nhsbb7//nsCAwN5++23jTVNmTKF5OTkbO2Cg4NxdXUlPj6eAQMG4OrqSqNGjfjoo49IS0sztrt69SrVqlVj6dKlhIeH07JlS2rVqkXHjh05ceJEjrovXrxIYGAgDRs25LXXXsPT05Pdu3f/xz+PP9O3b1/S09NZvHjxf2y7YcMGevToQePGjalVqxZt2rThiy++yNGuRYsW9O3bl0OHDuHp6Unt2rVxd3c3/n9h586duLu7G6/h9OnTf8m1ioiIFGQKn0REROS5GAwGJk6cyNWrV/n0009ZvXo1p06dIiQkhGPHjtGnTx9u377NwIED6dmzJ8eOHcPb2ztHQJQXEhMT8ff3p2bNmowYMYLSpUsTEhLC+vXrjW3S09Pp378/y5Yto3nz5owdO5aWLVuycuVKhgwZ8qfHv3z5Mj///DN///vfsba2fua6Fi9eTHR0NL169aJv374cP36c4cOHZ2uzfft2kpOT8fb2ZuzYsbz11lusXr2aoKCgHMdLS0ujd+/e2NnZERQURMOGDVm2bBnh4eE52kZFRbF06VK8vLwYMmQI165dY9CgQTx+/NjY5vz583h5eXHx4kX8/PwIDg7GysqKgIAAoqOjn/k6f8/JyYn27dsTERFBfHz8n7Zds2YNZcuWpW/fvgQHB1OmTBlCQ0P5/PPPc7SNjY1l2LBhtGjRgg8//JDExET69etHZGQkU6dOxd3dnUGDBnHlyhWGDBlCenp6rl+riIhIQaZhdyIiIvLc6tSpg4+PD0uXLsXMzIx27drRpEkTOnTogK2tLeHh4djZ2QHQsmVL3nvvPebMmcNHH32Up3XfvHmT4OBgfH19AfDy8qJLly7MnDmT9u3bY2ZmxubNm/nuu+9YtWoV9evXN/5ulSpVGD9+PEePHqVevXpPPX5mD6+qVas+V12PHj1i06ZNmJubA2BjY8PkyZM5d+6c8VjDhw/H0tLS+DteXl6UL1+emTNncv36dRwdHbMdr3Xr1gQEBADg7e3Ne++9x/r16/Hx8cl27uvXr7Nz505sbW0BqFixIgMGDODbb7819tCaPHkyZcqUYcOGDcYafXx88Pb2ZsaMGdnm4Hpe/fv356uvvmLx4sWMGTPmD9utXr062/V369aN3r17s3z5ct5///1sbS9dusTatWtxdXUFoHLlyvTu3ZuxY8eybds245+Vra0t48aN48iRI7z++uu5fq0iIiIFlXo+iYiIyH9l6NCh2NnZYWJiwsiRI7l58yY//fQT7733njF4gidzN73xxhvs27cv74r9/wwGA15eXsafzc3N8fLy4vbt25w6dQp40sPIxcWFSpUqkZCQYPynUaNGAE8dypfp3r17ABQpUuS56vL09DQGHYAx9IqLizNuyxq8PHjwgISEBFxdXcnIyHjq0DFvb+9sP7u5uT2191mbNm2MwdPTzn337l0OHjxI69atuXfvnvHP486dO7z11ltcvnz5P/Za+jPOzs54eHgQERHBzZs3/7Bd1utPSkoiISGBhg0bEhcXR1JSUra2lStXNgZP8CQsBWjUqFG2kC5z+191rSIiIgWVej6JiIjIf8Xa2pqKFSty584dHBwciImJAZ70nPk9FxcXvv32Wx48eICVldVfXOlvSpYsmeP8FSpUAODatWvUrVuX2NhYLl68SOPGjZ96jNu3b//h8TOH2t2/f/+56soaiMCTnk8Av/76q3Hb9evXmT17Nnv27CExMTFb+8zQK5OFhQX29vbZttna2ub4PYAyZcrkaJf13FeuXCEjI4OwsDDCwsKeWv/t27f/pwnDBwwYQGRkJIsWLfrD3k8//PADc+bMISYmhocPH2bbl5SURNGiRf/wmjL3lS5dOtv2zH9ff+W1ioiIFEQKn0REROQvV6hQoaduzzoh9v9ynKxz+Dyv9PR0qlatysiRI5+6//cBRlaVKlUC4Ny5c891ThOTp3dGz8jIAJ78ufj6+pKYmEifPn2oVKkSVlZWxMfHExwcnON6TU1Nn/ncf9Q289yZx+7VqxdNmjR5atty5co98/meJmvvJ39//xz7r1y5Qs+ePalUqZJxviczMzP27dvHihUrnvn688O1ioiIFEQKn0REROSFyOy9c+nSpRz7fv75Z4oVK2bsdWRjY5OtV0+m69evP9c5M3sI/X7Y1bVr157a/ubNmzl6X12+fBmAsmXLAk/ChTNnztC4ceM/DLf+SMWKFalYsSK7d+/m/v37zz387o+cO3eOy5cv89FHH9GhQwfj9v3797+Q4/8ZZ2dnAMzMzHjjjTdy7Tz9+/cnMjLyqSvf7dmzh5SUFObPn5+tl9ifDYH8b/xV1yoiIlLQaM4nEREReSFKlixJjRo12LRpU7Zg6dy5c+zfv59mzZoZt5UrV46kpCTOnDlj3Hbz5s3nXk0ssxfKkSNHjNvS0tKIiIh4avvU1NRsK76lpKQQHh6Ovb09NWvWBKB169bEx8c/9RjJyck8ePDgT2sKDAzk7t27jBkzhtTU1Bz7v/32W/bu3fufLy6LzJ5RmT10Mv/3Z5999lzH+W8UL16chg0bEh4e/tQ5mRISEl7IecqVK4eHhwfh4eHcunUr277MHktZrz8pKYkNGza8kHNn+quuVUREpKBRzycRERF5YYKCgvDz88PLy4tOnTqRnJzM6tWrKVq0KAMHDjS2a9OmDTNmzGDgwIF0796d5ORk1qxZQ8WKFY0Tfz+LKlWqULduXWbOnEliYiK2trZs3br1qaEPPAnIFi9ezLVr16hQoQJbt27lp59+YuLEiZiZmQHQvn17tm3bxvjx4zl06BD16tUjLS2Nn3/+me3bt7NkyRJee+21P6ypTZs2nD17lgULFnD69GnatWuHo6Mjd+/e5ZtvvuHAgQN8/PHHz3yN8GQ4X7ly5fjoo4+Ij4/H2tqaHTt2PLX3WG4YP348Pj4+uLu706VLF5ydnfnll1+IiYnh3//+N5GRkS/kPP369eOrr77i0qVLVKlSxbj9zTffxMzMjH79+tG1a1fu37/PunXrKF68eI6g6n/1V12riIhIQaLwSURERF6YN954gyVLljB79mxmz56NwWCgQYMGjBgxwjikCaBYsWLMnTuXadOm8a9//QsnJyc+/PBDYmNjnyt8ApgxYwbjxo1j0aJF2NjY0KlTJ15//XV8fX1ztLW1tWXatGlMmjSJiIgIHBwcGDduHF26dDG2MTExYd68eaxYsYKvvvqK6OhoChcujJOTE927d3/qhOq/N3ToUBo1asSqVatYs2YNiYmJ2NjYUKdOHT799FP+/ve/P9c1mpmZsWDBAiZNmsTChQuxsLCgVatWvP/++7Rv3/65jvXfqFy5Mhs2bGDu3Ll8+eWX3L17F3t7e/72t78REBDwws5Tvnx5PDw8+PLLL7Ntr1SpErNnz2bWrFl89NFHODg44O3tjb29PaNGjXph54e/7lpFREQKkkIZWfsvi4iIiIiIiIiIvECa80lERERERERERHKNwicREREREREREck1Cp9ERERERERERCTXKHwSEREREREREZFco/BJRERERERERERyjcInERERERERERHJNQqfREREREREREQk1yh8EhERERERERGRXKPwSUREREREREREco3CJxERERERERERyTUKn0REREREREREJNcofBIRERERERERkVyj8ElERERERERERHLN/wP0Ti97zezxzAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set figure size and style\n",
    "sns.set(style=\"whitegrid\", rc={'figure.figsize':(12, 8)})\n",
    "\n",
    "# Create the barplot\n",
    "ax = sns.barplot(x='Channel_name', y='Views', data=lifestyle_channel_data)\n",
    "\n",
    "# Improve x-axis labels\n",
    "plt.xticks(rotation=45, ha='right', fontsize=10)\n",
    "\n",
    "# Add axis labels and a title\n",
    "ax.set_xlabel('YouTube Channel Name', fontsize=12)\n",
    "ax.set_ylabel('Views', fontsize=12)\n",
    "ax.set_title('Lifestyle Category Views by YouTube Channel', fontsize=14, weight='bold')\n",
    "\n",
    "# Adjust spacing to prevent overlap\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05c0d38d-1e6d-493a-b931-4d36247c3c85",
   "metadata": {},
   "source": [
    "## YouTube Lifestyle Channel Subscriber Count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "334e6323-d648-4e30-9870-cc7fc34d0397",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set figure size and style\n",
    "sns.set(style=\"whitegrid\", rc={'figure.figsize':(12, 8)})\n",
    "\n",
    "# Create the barplot\n",
    "ax = sns.barplot(x='Channel_name', y='Subscribers', data=lifestyle_channel_data)\n",
    "\n",
    "# Improve x-axis labels\n",
    "plt.xticks(rotation=45, ha='right', fontsize=10)\n",
    "\n",
    "# Add axis labels and a title\n",
    "ax.set_xlabel('YouTube Channel Name', fontsize=12)\n",
    "ax.set_ylabel('Subscribers', fontsize=12)\n",
    "ax.set_title('YouTube Lifestyle Channel Subscriber Count', fontsize=14, weight='bold')\n",
    "\n",
    "# Adjust spacing to prevent overlap\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f46f5a64-de38-4b63-9aa0-eca0f36b6efe",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b55a9927-9d10-4e29-b2a0-d01552aed7f3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bbd2ca78-2085-4fc2-9aab-57bf01caa4f2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "bb95dd67-9a59-494f-b95a-8eb1a4c4a30d",
   "metadata": {},
   "source": [
    "## Save Categories data as CSV."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "05d70adf-1329-4ffc-a6d5-634093945c3a",
   "metadata": {},
   "outputs": [],
   "source": [
    "comedy_channel_data.to_csv('Comedy_analysis.csv', index=False)\n",
    "story_telling_channel_data.to_csv('Story_telling_analysis.csv', index=False)\n",
    "podcast_channel_data.to_csv('Podcast_analysis.csv', index=False)\n",
    "talkshow_channel_data.to_csv('Talkshow_analysis.csv', index=False)\n",
    "lifestyle_channel_data.to_csv('Lifestyle_analysis.csv', index=False)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffe377eb-4171-48dc-ac99-e290af0d9770",
   "metadata": {},
   "source": [
    "# Top three most-watched videos from the channel with the highest views."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ded572c1-7b91-48aa-bb85-1ddc7c41da98",
   "metadata": {},
   "source": [
    "## Variable to store Playlist ID for specific channel name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "fba8d22e-215a-4b2d-9bd4-c0131da59168",
   "metadata": {},
   "outputs": [],
   "source": [
    "comedy_playlist_id = comedy_channel_data.loc[comedy_channel_data['Channel_name']=='Churchill Television', 'Playlist_id'].iloc[0]\n",
    "story_telling_playlist_id = story_telling_channel_data.loc[story_telling_channel_data['Channel_name']=='Abel Mutua', 'Playlist_id'].iloc[0]\n",
    "podcast_playlist_id = podcast_channel_data.loc[podcast_channel_data['Channel_name']=='Lynn Ngugi', 'Playlist_id'].iloc[0]\n",
    "talkshow_playlist_id = talkshow_channel_data.loc[talkshow_channel_data['Channel_name']=='Tuko / Tuco - Kenya', 'Playlist_id'].iloc[0]\n",
    "lifestyle_playlist_id = lifestyle_channel_data.loc[lifestyle_channel_data['Channel_name']=='Thee Pluto Show', 'Playlist_id'].iloc[0]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "42cba9d8-378b-4a1a-a431-b268b053373b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'UUMMmy64_0rySSPUu0xohuCQ'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lifestyle_playlist_id"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "935ef659-0fd0-4101-9234-948ddd3cd6b5",
   "metadata": {},
   "source": [
    "## Function to get video IDs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "909727bc-da9f-4e11-aa6b-9823294368ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Comedy video IDs\n",
    "def get_videos_ids(youtube_comedy, comedy_playlist_id):\n",
    "\n",
    "    request = youtube_comedy.playlistItems().list(\n",
    "        part = 'contentDetails',\n",
    "        playlistId = comedy_playlist_id,\n",
    "        maxResults = 50)\n",
    "\n",
    "    response = request.execute()\n",
    "\n",
    "    video_ids = []\n",
    "\n",
    "    for i in range(len(response['items'])):\n",
    "        video_ids.append(response['items'][i]['contentDetails']['videoId'])\n",
    "\n",
    "    next_page_token = response.get('nextPageToken')\n",
    "    more_pages = True\n",
    "\n",
    "    while more_pages:\n",
    "        if next_page_token is None:\n",
    "            more_pages = False\n",
    "        else:\n",
    "                request = youtube_comedy.playlistItems().list(\n",
    "                    part = 'contentDetails',\n",
    "                    playlistId = comedy_playlist_id,\n",
    "                    maxResults = 50,\n",
    "                    pageToken = next_page_token)\n",
    "                response = request.execute()\n",
    "\n",
    "                for i in range(len(response['items'])):\n",
    "                    video_ids.append(response['items'][i]['contentDetails']['videoId'])\n",
    "\n",
    "                next_page_token = response.get('nextPageToken')\n",
    "    \n",
    "    return video_ids\n",
    "\n",
    "\n",
    "# Story Telling video IDs\n",
    "def get_videos_ids(youtube_story_telling, story_telling_playlist_id):\n",
    "\n",
    "    request = youtube_story_telling.playlistItems().list(\n",
    "        part = 'contentDetails',\n",
    "        playlistId = story_telling_playlist_id,\n",
    "        maxResults = 50)\n",
    "\n",
    "    response = request.execute()\n",
    "\n",
    "    video_ids = []\n",
    "\n",
    "    for i in range(len(response['items'])):\n",
    "        video_ids.append(response['items'][i]['contentDetails']['videoId'])\n",
    "\n",
    "    next_page_token = response.get('nextPageToken')\n",
    "    more_pages = True\n",
    "\n",
    "    while more_pages:\n",
    "        if next_page_token is None:\n",
    "            more_pages = False\n",
    "        else:\n",
    "                request = youtube_story_telling.playlistItems().list(\n",
    "                    part = 'contentDetails',\n",
    "                    playlistId = story_telling_playlist_id,\n",
    "                    maxResults = 50,\n",
    "                    pageToken = next_page_token)\n",
    "                response = request.execute()\n",
    "\n",
    "                for i in range(len(response['items'])):\n",
    "                    video_ids.append(response['items'][i]['contentDetails']['videoId'])\n",
    "\n",
    "                next_page_token = response.get('nextPageToken')\n",
    "    \n",
    "    return video_ids\n",
    "\n",
    "\n",
    "# Podcast video IDs\n",
    "def get_videos_ids(youtube_story_telling, story_telling_playlist_id):\n",
    "\n",
    "    request = youtube_podcast.playlistItems().list(\n",
    "        part = 'contentDetails',\n",
    "        playlistId = story_telling_playlist_id,\n",
    "        maxResults = 50)\n",
    "\n",
    "    response = request.execute()\n",
    "\n",
    "    video_ids = []\n",
    "\n",
    "    for i in range(len(response['items'])):\n",
    "        video_ids.append(response['items'][i]['contentDetails']['videoId'])\n",
    "\n",
    "    next_page_token = response.get('nextPageToken')\n",
    "    more_pages = True\n",
    "\n",
    "    while more_pages:\n",
    "        if next_page_token is None:\n",
    "            more_pages = False\n",
    "        else:\n",
    "                request = youtube_podcast.playlistItems().list(\n",
    "                    part = 'contentDetails',\n",
    "                    playlistId = story_telling_playlist_id,\n",
    "                    maxResults = 50,\n",
    "                    pageToken = next_page_token)\n",
    "                response = request.execute()\n",
    "\n",
    "                for i in range(len(response['items'])):\n",
    "                    video_ids.append(response['items'][i]['contentDetails']['videoId'])\n",
    "\n",
    "                next_page_token = response.get('nextPageToken')\n",
    "    \n",
    "    return video_ids\n",
    "\n",
    "# Talkshow video IDs\n",
    "def get_videos_ids(youtube_talkshow, talkshow_playlist_id):\n",
    "\n",
    "    request = youtube_talkshow.playlistItems().list(\n",
    "        part = 'contentDetails',\n",
    "        playlistId = talkshow_playlist_id,\n",
    "        maxResults = 50)\n",
    "\n",
    "    response = request.execute()\n",
    "\n",
    "    video_ids = []\n",
    "\n",
    "    for i in range(len(response['items'])):\n",
    "        video_ids.append(response['items'][i]['contentDetails']['videoId'])\n",
    "\n",
    "    next_page_token = response.get('nextPageToken')\n",
    "    more_pages = True\n",
    "\n",
    "    while more_pages:\n",
    "        if next_page_token is None:\n",
    "            more_pages = False\n",
    "        else:\n",
    "                request = youtube_talkshow.playlistItems().list(\n",
    "                    part = 'contentDetails',\n",
    "                    playlistId = talkshow_playlist_id,\n",
    "                    maxResults = 50,\n",
    "                    pageToken = next_page_token)\n",
    "                response = request.execute()\n",
    "\n",
    "                for i in range(len(response['items'])):\n",
    "                    video_ids.append(response['items'][i]['contentDetails']['videoId'])\n",
    "\n",
    "                next_page_token = response.get('nextPageToken')\n",
    "    \n",
    "    return video_ids\n",
    "\n",
    "\n",
    "# Lifestyle video IDs\n",
    "def get_videos_ids(youtube_lifestyle, lifestyle_playlist_id):\n",
    "\n",
    "    request = youtube_lifestyle.playlistItems().list(\n",
    "        part = 'contentDetails',\n",
    "        playlistId = lifestyle_playlist_id,\n",
    "        maxResults = 50)\n",
    "\n",
    "    response = request.execute()\n",
    "\n",
    "    video_ids = []\n",
    "\n",
    "    for i in range(len(response['items'])):\n",
    "        video_ids.append(response['items'][i]['contentDetails']['videoId'])\n",
    "\n",
    "    next_page_token = response.get('nextPageToken')\n",
    "    more_pages = True\n",
    "\n",
    "    while more_pages:\n",
    "        if next_page_token is None:\n",
    "            more_pages = False\n",
    "        else:\n",
    "                request = youtube_lifestyle.playlistItems().list(\n",
    "                    part = 'contentDetails',\n",
    "                    playlistId = lifestyle_playlist_id,\n",
    "                    maxResults = 50,\n",
    "                    pageToken = next_page_token)\n",
    "                response = request.execute()\n",
    "\n",
    "                for i in range(len(response['items'])):\n",
    "                    video_ids.append(response['items'][i]['contentDetails']['videoId'])\n",
    "\n",
    "                next_page_token = response.get('nextPageToken')\n",
    "    \n",
    "    return video_ids\n",
    "\n",
    "\n",
    "# Podcast video IDs\n",
    "def get_videos_ids(youtube_podcast, podcast_playlist_id):\n",
    "\n",
    "    request = youtube_podcast.playlistItems().list(\n",
    "        part = 'contentDetails',\n",
    "        playlistId = podcast_playlist_id,\n",
    "        maxResults = 50)\n",
    "\n",
    "    response = request.execute()\n",
    "\n",
    "    video_ids = []\n",
    "\n",
    "    for i in range(len(response['items'])):\n",
    "        video_ids.append(response['items'][i]['contentDetails']['videoId'])\n",
    "\n",
    "    next_page_token = response.get('nextPageToken')\n",
    "    more_pages = True\n",
    "\n",
    "    while more_pages:\n",
    "        if next_page_token is None:\n",
    "            more_pages = False\n",
    "        else:\n",
    "                request = youtube_podcast.playlistItems().list(\n",
    "                    part = 'contentDetails',\n",
    "                    playlistId = podcast_playlist_id,\n",
    "                    maxResults = 50,\n",
    "                    pageToken = next_page_token)\n",
    "                response = request.execute()\n",
    "\n",
    "                for i in range(len(response['items'])):\n",
    "                    video_ids.append(response['items'][i]['contentDetails']['videoId'])\n",
    "\n",
    "                next_page_token = response.get('nextPageToken')\n",
    "    \n",
    "    return video_ids\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "298be3c7-7553-42e9-8c58-4be0c6108a84",
   "metadata": {},
   "source": [
    "## Variable to store Video ID for specific channel name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "1dc58072-14a5-4763-9ade-831bb4c59afc",
   "metadata": {},
   "outputs": [],
   "source": [
    "comedy_video_ids = get_videos_ids(youtube_comedy, comedy_playlist_id)\n",
    "story_telling_video_ids = get_videos_ids(youtube_story_telling, story_telling_playlist_id)\n",
    "talkshow_video_ids = get_videos_ids(youtube_talkshow, talkshow_playlist_id)\n",
    "lifestyle_video_ids = get_videos_ids(youtube_lifestyle, lifestyle_playlist_id)\n",
    "podcast_video_ids = get_videos_ids(youtube_podcast, podcast_playlist_id)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45869d2c-1572-497e-869c-b280230b5d1b",
   "metadata": {},
   "source": [
    "## Function to get video details"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "3f9df553-1fe8-46ec-8320-94eed28f8aa9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Comedy video details\n",
    "def get_video_details(youtube_comedy, comedy_video_ids):\n",
    "    all_video_stats = []\n",
    "    \n",
    "    for i in range(0, len(comedy_video_ids), 50):\n",
    "        # Request video details\n",
    "        request = youtube_comedy.videos().list(\n",
    "            part='snippet,statistics',\n",
    "            id=','.join(comedy_video_ids[i:i+50])\n",
    "        )\n",
    "        response = request.execute()\n",
    "        \n",
    "        # Extract details from response\n",
    "        for video in response.get('items', []):  # Handle missing 'items'\n",
    "            video_stats = dict(\n",
    "                Title=video['snippet'].get('title', 'N/A'),\n",
    "                Published_date=video['snippet'].get('publishedAt', 'N/A'),\n",
    "                Views=video['statistics'].get('viewCount', 0),\n",
    "                Likes=video['statistics'].get('likeCount', 0),\n",
    "                Comments=video['statistics'].get('commentCount', 0)\n",
    "            )\n",
    "            all_video_stats.append(video_stats)\n",
    "    \n",
    "    return all_video_stats\n",
    "\n",
    "\n",
    "# Story telling video details\n",
    "def get_video_details(youtube_story_telling, story_telling_video_ids):\n",
    "    all_video_stats = []\n",
    "    \n",
    "    for i in range(0, len(story_telling_video_ids), 50):\n",
    "        # Request video details\n",
    "        request = youtube_story_telling.videos().list(\n",
    "            part='snippet,statistics',\n",
    "            id=','.join(story_telling_video_ids[i:i+50])\n",
    "        )\n",
    "        response = request.execute()\n",
    "        \n",
    "        # Extract details from response\n",
    "        for video in response.get('items', []):  # Handle missing 'items'\n",
    "            video_stats = dict(\n",
    "                Title=video['snippet'].get('title', 'N/A'),\n",
    "                Published_date=video['snippet'].get('publishedAt', 'N/A'),\n",
    "                Views=video['statistics'].get('viewCount', 0),\n",
    "                Likes=video['statistics'].get('likeCount', 0),\n",
    "                Comments=video['statistics'].get('commentCount', 0)\n",
    "            )\n",
    "            all_video_stats.append(video_stats)\n",
    "    \n",
    "    return all_video_stats\n",
    "\n",
    "\n",
    "# Talkshow video details\n",
    "def get_video_details(youtube_talkshow, talkshow_video_ids):\n",
    "    all_video_stats = []\n",
    "    \n",
    "    for i in range(0, len(talkshow_video_ids), 50):\n",
    "        # Request video details\n",
    "        request = youtube_talkshow.videos().list(\n",
    "            part='snippet,statistics',\n",
    "            id=','.join(talkshow_video_ids[i:i+50])\n",
    "        )\n",
    "        response = request.execute()\n",
    "        \n",
    "        # Extract details from response\n",
    "        for video in response.get('items', []):  # Handle missing 'items'\n",
    "            video_stats = dict(\n",
    "                Title=video['snippet'].get('title', 'N/A'),\n",
    "                Published_date=video['snippet'].get('publishedAt', 'N/A'),\n",
    "                Views=video['statistics'].get('viewCount', 0),\n",
    "                Likes=video['statistics'].get('likeCount', 0),\n",
    "                Comments=video['statistics'].get('commentCount', 0)\n",
    "            )\n",
    "            all_video_stats.append(video_stats)\n",
    "    \n",
    "    return all_video_stats\n",
    "\n",
    "\n",
    "# Lifestyle video details\n",
    "def get_video_details(youtube_lifestyle, lifestyle_video_ids):\n",
    "    all_video_stats = []\n",
    "    \n",
    "    for i in range(0, len(lifestyle_video_ids), 50):\n",
    "        # Request video details\n",
    "        request = youtube_lifestyle.videos().list(\n",
    "            part='snippet,statistics',\n",
    "            id=','.join(lifestyle_video_ids[i:i+50])\n",
    "        )\n",
    "        response = request.execute()\n",
    "        \n",
    "        # Extract details from response\n",
    "        for video in response.get('items', []):  # Handle missing 'items'\n",
    "            video_stats = dict(\n",
    "                Title=video['snippet'].get('title', 'N/A'),\n",
    "                Published_date=video['snippet'].get('publishedAt', 'N/A'),\n",
    "                Views=video['statistics'].get('viewCount', 0),\n",
    "                Likes=video['statistics'].get('likeCount', 0),\n",
    "                Favourite=video['statistics'].get('favoriteCount', 0),\n",
    "                Comments=video['statistics'].get('commentCount', 0)\n",
    "            )\n",
    "            all_video_stats.append(video_stats)\n",
    "    \n",
    "    return all_video_stats\n",
    "\n",
    "\n",
    "# Lifestyle video details\n",
    "def get_video_details(youtube_podcast, podcast_video_ids):\n",
    "    all_video_stats = []\n",
    "    \n",
    "    for i in range(0, len(podcast_video_ids), 50):\n",
    "        # Request video details\n",
    "        request = youtube_podcast.videos().list(\n",
    "            part='snippet,statistics',\n",
    "            id=','.join(podcast_video_ids[i:i+50])\n",
    "        )\n",
    "        response = request.execute()\n",
    "        \n",
    "        # Extract details from response\n",
    "        for video in response.get('items', []):  # Handle missing 'items'\n",
    "            video_stats = dict(\n",
    "                Title=video['snippet'].get('title', 'N/A'),\n",
    "                Published_date=video['snippet'].get('publishedAt', 'N/A'),\n",
    "                Views=video['statistics'].get('viewCount', 0),\n",
    "                Likes=video['statistics'].get('likeCount', 0),\n",
    "                Comments=video['statistics'].get('commentCount', 0)\n",
    "            )\n",
    "            all_video_stats.append(video_stats)\n",
    "    \n",
    "    return all_video_stats\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31efadb3-f607-460f-bd70-437b36d80ed3",
   "metadata": {},
   "source": [
    "## Variable to store Video details for specific channel name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "675be8b1-47c4-4718-97b3-8ba43c9f62c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "comedy_video_details = get_video_details(youtube_comedy, comedy_video_ids)\n",
    "story_telling_video_details = get_video_details(youtube_story_telling, story_telling_video_ids)\n",
    "talkshow_video_details = get_video_details(youtube_talkshow, talkshow_video_ids)\n",
    "lifestyle_video_details = get_video_details(youtube_lifestyle, lifestyle_video_ids)\n",
    "podcast_video_details = get_video_details(youtube_podcast, podcast_video_ids)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39b9f335-5d10-4971-8f7b-e5a56272b858",
   "metadata": {},
   "source": [
    "## Convert to Pandas DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "0b62742d-29a0-4ada-91f2-bac6272e1400",
   "metadata": {},
   "outputs": [],
   "source": [
    "comedy_video_data = pd.DataFrame(comedy_video_details)\n",
    "story_telling_video_data =  pd.DataFrame(story_telling_video_details)\n",
    "talkshow_video_data  = pd.DataFrame(talkshow_video_details)\n",
    "lifestyle_video_data  = pd.DataFrame(lifestyle_video_details)\n",
    "podcast_video_data  = pd.DataFrame(podcast_video_details)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "d14cad70-b5e6-4eef-9f60-28de3d650ff1",
   "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>Title</th>\n",
       "      <th>Published_date</th>\n",
       "      <th>Views</th>\n",
       "      <th>Likes</th>\n",
       "      <th>Comments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>It’s A Sign - Mkurugenzi Minisodes 8 Ep 5</td>\n",
       "      <td>2025-01-01T17:30:06Z</td>\n",
       "      <td>94322</td>\n",
       "      <td>3081</td>\n",
       "      <td>315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Trapped In The Mountains -Headline Hitters 9 Ep 8</td>\n",
       "      <td>2024-12-29T17:40:06Z</td>\n",
       "      <td>144600</td>\n",
       "      <td>4146</td>\n",
       "      <td>380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Hell Of A Ride - Young &amp; Stupid 9 Ep 2</td>\n",
       "      <td>2024-12-22T17:15:06Z</td>\n",
       "      <td>249034</td>\n",
       "      <td>5660</td>\n",
       "      <td>639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>K-Rupt Tribute- Headline Hitters 9 Ep 7</td>\n",
       "      <td>2024-12-15T17:00:06Z</td>\n",
       "      <td>368416</td>\n",
       "      <td>8536</td>\n",
       "      <td>898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jabaration - Mkurugenzi Minisode 8 Ep 4</td>\n",
       "      <td>2024-12-11T19:00:06Z</td>\n",
       "      <td>205023</td>\n",
       "      <td>5223</td>\n",
       "      <td>346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>Mothers' Day Edition - Young &amp; Stupid 1 Ep 5</td>\n",
       "      <td>2020-05-13T11:51:49Z</td>\n",
       "      <td>230498</td>\n",
       "      <td>9717</td>\n",
       "      <td>1161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>Robbed at Bible point - Young &amp; Stupid 1 Ep 4</td>\n",
       "      <td>2020-05-09T22:20:12Z</td>\n",
       "      <td>252227</td>\n",
       "      <td>9373</td>\n",
       "      <td>470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>The Burner-Boys of RTI - Young &amp; Stupid 1 Ep 3</td>\n",
       "      <td>2020-05-09T20:31:18Z</td>\n",
       "      <td>225244</td>\n",
       "      <td>7932</td>\n",
       "      <td>463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>A Psycho-Fan - Young &amp; Stupid 1 Ep 2</td>\n",
       "      <td>2020-05-09T20:13:04Z</td>\n",
       "      <td>542475</td>\n",
       "      <td>12937</td>\n",
       "      <td>653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>Crushing on a Popstar - Young &amp; Stupid 1 Ep 1</td>\n",
       "      <td>2020-05-09T19:41:51Z</td>\n",
       "      <td>366148</td>\n",
       "      <td>9769</td>\n",
       "      <td>643</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>476 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 Title        Published_date  \\\n",
       "0            It’s A Sign - Mkurugenzi Minisodes 8 Ep 5  2025-01-01T17:30:06Z   \n",
       "1    Trapped In The Mountains -Headline Hitters 9 Ep 8  2024-12-29T17:40:06Z   \n",
       "2               Hell Of A Ride - Young & Stupid 9 Ep 2  2024-12-22T17:15:06Z   \n",
       "3              K-Rupt Tribute- Headline Hitters 9 Ep 7  2024-12-15T17:00:06Z   \n",
       "4              Jabaration - Mkurugenzi Minisode 8 Ep 4  2024-12-11T19:00:06Z   \n",
       "..                                                 ...                   ...   \n",
       "471       Mothers' Day Edition - Young & Stupid 1 Ep 5  2020-05-13T11:51:49Z   \n",
       "472      Robbed at Bible point - Young & Stupid 1 Ep 4  2020-05-09T22:20:12Z   \n",
       "473     The Burner-Boys of RTI - Young & Stupid 1 Ep 3  2020-05-09T20:31:18Z   \n",
       "474               A Psycho-Fan - Young & Stupid 1 Ep 2  2020-05-09T20:13:04Z   \n",
       "475      Crushing on a Popstar - Young & Stupid 1 Ep 1  2020-05-09T19:41:51Z   \n",
       "\n",
       "      Views  Likes Comments  \n",
       "0     94322   3081      315  \n",
       "1    144600   4146      380  \n",
       "2    249034   5660      639  \n",
       "3    368416   8536      898  \n",
       "4    205023   5223      346  \n",
       "..      ...    ...      ...  \n",
       "471  230498   9717     1161  \n",
       "472  252227   9373      470  \n",
       "473  225244   7932      463  \n",
       "474  542475  12937      653  \n",
       "475  366148   9769      643  \n",
       "\n",
       "[476 rows x 5 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check data\n",
    "story_telling_video_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1b32288-420e-4127-a47a-17bb5f1a34f3",
   "metadata": {},
   "source": [
    "## Data cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "6a20edda-042f-4341-9eec-3e59f95af7ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Comedy\n",
    "comedy_video_data['Published_date'] = pd.to_datetime(comedy_video_data['Published_date']).dt.date\n",
    "comedy_video_data['Views'] = pd.to_numeric(comedy_video_data['Views'])\n",
    "comedy_video_data['Likes'] = pd.to_numeric(comedy_video_data['Likes'])\n",
    "comedy_video_data['Favorites'] = pd.to_numeric(comedy_video_data['Views'])\n",
    "comedy_video_data['Comments'] = pd.to_numeric(comedy_video_data['Comments'])\n",
    "\n",
    "# Story telling\n",
    "story_telling_video_data['Published_date'] = pd.to_datetime(story_telling_video_data['Published_date']).dt.date\n",
    "story_telling_video_data['Views'] = pd.to_numeric(story_telling_video_data['Views'])\n",
    "story_telling_video_data['Likes'] = pd.to_numeric(story_telling_video_data['Likes'])\n",
    "story_telling_video_data['Favorites'] = pd.to_numeric(story_telling_video_data['Favorites'])\n",
    "story_telling_video_data['Comments'] = pd.to_numeric(story_telling_video_data['Comments'])\n",
    "\n",
    "# Talkshow\n",
    "talkshow_video_data['Published_date'] = pd.to_datetime(talkshow_video_data['Published_date']).dt.date\n",
    "talkshow_video_data['Views'] = pd.to_numeric(talkshow_video_data['Views'])\n",
    "talkshow_video_data['Likes'] = pd.to_numeric(talkshow_video_data['Likes'])\n",
    "talkshow_video_data['Favorites'] = pd.to_numeric(talkshow_video_data['Favorites'])\n",
    "talkshow_video_data['Comments'] = pd.to_numeric(talkshow_video_data['Comments'])\n",
    "\n",
    "# LIfestyle\n",
    "lifestyle_video_data['Published_date'] = pd.to_datetime(lifestyle_video_data['Published_date']).dt.date\n",
    "lifestyle_video_data['Views'] = pd.to_numeric(lifestyle_video_data['Views'])\n",
    "lifestyle_video_data['Likes'] = pd.to_numeric(lifestyle_video_data['Likes'])\n",
    "lifestyle_video_data['Favorites'] = pd.to_numeric(lifestyle_video_data['Favorites'])\n",
    "lifestyle_video_data['Comments'] = pd.to_numeric(lifestyle_video_data['Comments'])\n",
    "\n",
    "# Podcast\n",
    "podcast_video_data['Published_date'] = pd.to_datetime(podcast_video_data['Published_date']).dt.date\n",
    "podcast_video_data['Views'] = pd.to_numeric(podcast_video_data['Views'])\n",
    "podcast_video_data['Likes'] = pd.to_numeric(podcast_video_data['Likes'])\n",
    "podcast_video_data['Favorites'] = pd.to_numeric(podcast_video_data['Views'])\n",
    "podcast_video_data['Comments'] = pd.to_numeric(podcast_video_data['Comments'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "b0890a6c-c1fe-4959-a9f5-9c53c27eee37",
   "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>Title</th>\n",
       "      <th>Published_date</th>\n",
       "      <th>Views</th>\n",
       "      <th>Likes</th>\n",
       "      <th>Comments</th>\n",
       "      <th>Favorites</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>You donated millions to Viona after sharing he...</td>\n",
       "      <td>2024-12-24</td>\n",
       "      <td>66064</td>\n",
       "      <td>1200</td>\n",
       "      <td>157</td>\n",
       "      <td>66064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>My own daughter set me up, ended up spending 1...</td>\n",
       "      <td>2024-12-23</td>\n",
       "      <td>104476</td>\n",
       "      <td>1902</td>\n",
       "      <td>503</td>\n",
       "      <td>104476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>The real spiritual problem in Kenya, how polit...</td>\n",
       "      <td>2024-12-20</td>\n",
       "      <td>306095</td>\n",
       "      <td>7734</td>\n",
       "      <td>1662</td>\n",
       "      <td>306095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Why foreigners can easily own limitless land i...</td>\n",
       "      <td>2024-12-18</td>\n",
       "      <td>30392</td>\n",
       "      <td>469</td>\n",
       "      <td>228</td>\n",
       "      <td>30392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Why these American men are settling in Kenya a...</td>\n",
       "      <td>2024-12-17</td>\n",
       "      <td>152937</td>\n",
       "      <td>2739</td>\n",
       "      <td>1011</td>\n",
       "      <td>152937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>Lynn Ngugi's date with Brayo Chizi in Nakuru</td>\n",
       "      <td>2020-11-06</td>\n",
       "      <td>190749</td>\n",
       "      <td>5427</td>\n",
       "      <td>976</td>\n",
       "      <td>190749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>Lynn Ngugi on living a fake life and other lif...</td>\n",
       "      <td>2020-06-19</td>\n",
       "      <td>60507</td>\n",
       "      <td>2239</td>\n",
       "      <td>490</td>\n",
       "      <td>60507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>Who is Lynn Ngugi | Biography | Get to know me...</td>\n",
       "      <td>2019-12-20</td>\n",
       "      <td>345112</td>\n",
       "      <td>7744</td>\n",
       "      <td>1295</td>\n",
       "      <td>345112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>505</th>\n",
       "      <td>Top 5 Small Business Ideas in Kenya with low I...</td>\n",
       "      <td>2016-06-16</td>\n",
       "      <td>54799</td>\n",
       "      <td>526</td>\n",
       "      <td>52</td>\n",
       "      <td>54799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>506</th>\n",
       "      <td>Kenyans in Saudi Arabia, Qatar,Dubai things yo...</td>\n",
       "      <td>2015-07-17</td>\n",
       "      <td>67648</td>\n",
       "      <td>318</td>\n",
       "      <td>140</td>\n",
       "      <td>67648</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>507 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 Title Published_date   Views  \\\n",
       "0    You donated millions to Viona after sharing he...     2024-12-24   66064   \n",
       "1    My own daughter set me up, ended up spending 1...     2024-12-23  104476   \n",
       "2    The real spiritual problem in Kenya, how polit...     2024-12-20  306095   \n",
       "3    Why foreigners can easily own limitless land i...     2024-12-18   30392   \n",
       "4    Why these American men are settling in Kenya a...     2024-12-17  152937   \n",
       "..                                                 ...            ...     ...   \n",
       "502       Lynn Ngugi's date with Brayo Chizi in Nakuru     2020-11-06  190749   \n",
       "503  Lynn Ngugi on living a fake life and other lif...     2020-06-19   60507   \n",
       "504  Who is Lynn Ngugi | Biography | Get to know me...     2019-12-20  345112   \n",
       "505  Top 5 Small Business Ideas in Kenya with low I...     2016-06-16   54799   \n",
       "506  Kenyans in Saudi Arabia, Qatar,Dubai things yo...     2015-07-17   67648   \n",
       "\n",
       "     Likes  Comments  Favorites  \n",
       "0     1200       157      66064  \n",
       "1     1902       503     104476  \n",
       "2     7734      1662     306095  \n",
       "3      469       228      30392  \n",
       "4     2739      1011     152937  \n",
       "..     ...       ...        ...  \n",
       "502   5427       976     190749  \n",
       "503   2239       490      60507  \n",
       "504   7744      1295     345112  \n",
       "505    526        52      54799  \n",
       "506    318       140      67648  \n",
       "\n",
       "[507 rows x 6 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "podcast_video_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20c06e15-8f9b-42da-8b57-d0e9d59b7aff",
   "metadata": {},
   "source": [
    "# Identify the top 3 videos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "92c3e957-e3fc-40a6-ba7a-d85ea7e4c9e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "comedy_top_videos = comedy_video_data.sort_values(by='Views', ascending=False).head(3)\n",
    "story_telling_top_videos = story_telling_video_data.sort_values(by='Views', ascending=False).head(3)\n",
    "talkshow_top_videos = talkshow_video_data.sort_values(by='Views', ascending=False).head(3)\n",
    "lifestyle_top_videos = lifestyle_video_data.sort_values(by='Views', ascending=False).head(3)\n",
    "podcast_top_videos = podcast_video_data.sort_values(by='Views', ascending=False).head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5625f230-4d8a-4f17-9030-94a22c3eb344",
   "metadata": {},
   "source": [
    "# Visualization of the top 3 watched videos"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "381d014f-87ea-49a9-9cd8-7fa135385c82",
   "metadata": {},
   "source": [
    "## Top 3 Comedy Video Views (Churchill Television)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "3e339747-5b48-4d2f-88a3-5029edf08e00",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as mcolors\n",
    "\n",
    "# Sort data to ensure bars are in descending order\n",
    "top_videos_sorted = comedy_top_videos.sort_values(by='Views', ascending=False)\n",
    "\n",
    "# Set Seaborn style and figure size\n",
    "sns.set(style=\"whitegrid\", rc={'figure.figsize': (12, 8)})\n",
    "\n",
    "# Generate gradient colors using Seaborn's palette\n",
    "palette = sns.color_palette(\"viridis\", len(top_videos_sorted))\n",
    "\n",
    "# Create the barplot with manual coloring\n",
    "ax1 = sns.barplot(\n",
    "    x='Views',\n",
    "    y='Title',\n",
    "    data=top_videos_sorted,\n",
    "    hue='Title',  # Assign hue to Title to avoid warnings\n",
    "    dodge=False,\n",
    "    palette=palette\n",
    ")\n",
    "\n",
    "# Add data labels to the bars\n",
    "for i, view in enumerate(top_videos_sorted['Views']):\n",
    "    ax1.text(view + 0.02 * max(top_videos_sorted['Views']), i, f'{view:,}', va='center', fontsize=10)\n",
    "\n",
    "# Add axis labels and a title\n",
    "ax1.set_xlabel('Views', fontsize=12)\n",
    "ax1.set_ylabel('Video Title', fontsize=12)\n",
    "ax1.set_title('Churchill Television Top 3 Videos by Views', fontsize=14, weight='bold')\n",
    "\n",
    "# Adjust spacing to ensure readability\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "854c4c74-a427-4b91-b26a-2a9bcb3fbac7",
   "metadata": {},
   "source": [
    "## Top 3 Stort Telling Video Views (Abel Mutua)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "4dc0f280-eaef-4297-babf-6236c72d7d61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as mcolors\n",
    "\n",
    "# Sort data to ensure bars are in descending order\n",
    "top_videos_sorted = story_telling_top_videos.sort_values(by='Views', ascending=False)\n",
    "\n",
    "# Set Seaborn style and figure size\n",
    "sns.set(style=\"whitegrid\", rc={'figure.figsize': (12, 8)})\n",
    "\n",
    "# Generate gradient colors using Seaborn's palette\n",
    "palette = sns.color_palette(\"viridis\", len(top_videos_sorted))\n",
    "\n",
    "# Create the barplot with manual coloring\n",
    "ax1 = sns.barplot(\n",
    "    x='Views',\n",
    "    y='Title',\n",
    "    data=top_videos_sorted,\n",
    "    hue='Title',  # Assign hue to Title to avoid warnings\n",
    "    dodge=False,\n",
    "    palette=palette\n",
    ")\n",
    "\n",
    "# Add data labels to the bars\n",
    "for i, view in enumerate(top_videos_sorted['Views']):\n",
    "    ax1.text(view + 0.02 * max(top_videos_sorted['Views']), i, f'{view:,}', va='center', fontsize=10)\n",
    "\n",
    "# Add axis labels and a title\n",
    "ax1.set_xlabel('Views', fontsize=12)\n",
    "ax1.set_ylabel('Video Title', fontsize=12)\n",
    "ax1.set_title('Abel Mutua Top 3 Videos by Views', fontsize=14, weight='bold')\n",
    "\n",
    "# Adjust spacing to ensure readability\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17252601-b7d9-4d9f-adeb-efd24c5efd1f",
   "metadata": {},
   "source": [
    "## Top 3 Talkshow Video Views (Tuko TV)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "be57cc7f-8e72-4a08-950a-dc5f92d1174a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as mcolors\n",
    "\n",
    "# Sort data to ensure bars are in descending order\n",
    "top_videos_sorted = talkshow_top_videos.sort_values(by='Views', ascending=False)\n",
    "\n",
    "# Set Seaborn style and figure size\n",
    "sns.set(style=\"whitegrid\", rc={'figure.figsize': (12, 8)})\n",
    "\n",
    "# Generate gradient colors using Seaborn's palette\n",
    "palette = sns.color_palette(\"viridis\", len(top_videos_sorted))\n",
    "\n",
    "# Create the barplot with manual coloring\n",
    "ax1 = sns.barplot(\n",
    "    x='Views',\n",
    "    y='Title',\n",
    "    data=top_videos_sorted,\n",
    "    hue='Title',  # Assign hue to Title to avoid warnings\n",
    "    dodge=False,\n",
    "    palette=palette\n",
    ")\n",
    "\n",
    "# Add data labels to the bars\n",
    "for i, view in enumerate(top_videos_sorted['Views']):\n",
    "    ax1.text(view + 0.02 * max(top_videos_sorted['Views']), i, f'{view:,}', va='center', fontsize=10)\n",
    "\n",
    "# Add axis labels and a title\n",
    "ax1.set_xlabel('Views', fontsize=12)\n",
    "ax1.set_ylabel('Video Title', fontsize=12)\n",
    "ax1.set_title('Tuko TV Top 3 Videos by Views', fontsize=14, weight='bold')\n",
    "\n",
    "# Adjust spacing to ensure readability\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ff2e0c7-d8a4-454d-ba76-c77a252398b7",
   "metadata": {},
   "source": [
    "## Top 3 Lifestyle Video Views (Thee Pluto)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "bd242e16-7f45-4c8a-b37a-74fdf3a70e9f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as mcolors\n",
    "\n",
    "# Sort data to ensure bars are in descending order\n",
    "top_videos_sorted = lifestyle_top_videos.sort_values(by='Views', ascending=False)\n",
    "\n",
    "# Set Seaborn style and figure size\n",
    "sns.set(style=\"whitegrid\", rc={'figure.figsize': (12, 8)})\n",
    "\n",
    "# Generate gradient colors using Seaborn's palette\n",
    "palette = sns.color_palette(\"viridis\", len(top_videos_sorted))\n",
    "\n",
    "# Create the barplot with manual coloring\n",
    "ax1 = sns.barplot(\n",
    "    x='Views',\n",
    "    y='Title',\n",
    "    data=top_videos_sorted,\n",
    "    hue='Title',  # Assign hue to Title to avoid warnings\n",
    "    dodge=False,\n",
    "    palette=palette\n",
    ")\n",
    "\n",
    "# Add data labels to the bars\n",
    "for i, view in enumerate(top_videos_sorted['Views']):\n",
    "    ax1.text(view + 0.02 * max(top_videos_sorted['Views']), i, f'{view:,}', va='center', fontsize=10)\n",
    "\n",
    "# Add axis labels and a title\n",
    "ax1.set_xlabel('Views', fontsize=12)\n",
    "ax1.set_ylabel('Video Title', fontsize=12)\n",
    "ax1.set_title('Thee Pluto Top 3 Videos by Views', fontsize=14, weight='bold')\n",
    "\n",
    "# Adjust spacing to ensure readability\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2605a85d-ab70-4d07-bf06-9dc579d4dce2",
   "metadata": {},
   "source": [
    "## Top 3 Podcast Video Views (Lynn Ngugi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "f760bd39-eb8b-4785-ab2c-b028656db4a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as mcolors\n",
    "\n",
    "# Sort data to ensure bars are in descending order\n",
    "top_videos_sorted = podcast_top_videos.sort_values(by='Views', ascending=False)\n",
    "\n",
    "# Set Seaborn style and figure size\n",
    "sns.set(style=\"whitegrid\", rc={'figure.figsize': (12, 8)})\n",
    "\n",
    "# Generate gradient colors using Seaborn's palette\n",
    "palette = sns.color_palette(\"viridis\", len(top_videos_sorted))\n",
    "\n",
    "# Create the barplot with manual coloring\n",
    "ax1 = sns.barplot(\n",
    "    x='Views',\n",
    "    y='Title',\n",
    "    data=top_videos_sorted,\n",
    "    hue='Title',  # Assign hue to Title to avoid warnings\n",
    "    dodge=False,\n",
    "    palette=palette\n",
    ")\n",
    "\n",
    "# Add data labels to the bars\n",
    "for i, view in enumerate(top_videos_sorted['Views']):\n",
    "    ax1.text(view + 0.02 * max(top_videos_sorted['Views']), i, f'{view:,}', va='center', fontsize=10)\n",
    "\n",
    "# Add axis labels and a title\n",
    "ax1.set_xlabel('Views', fontsize=12)\n",
    "ax1.set_ylabel('Video Title', fontsize=12)\n",
    "ax1.set_title('Lynn Ngugi Top 3 Videos by Views', fontsize=14, weight='bold')\n",
    "\n",
    "# Adjust spacing to ensure readability\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e43e2f7-249b-498c-96fd-c0e9e8837ed7",
   "metadata": {},
   "source": [
    "## Save Top 3 Videos data as CSV."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "2efcaca7-2f10-4ae1-9623-84308f39a537",
   "metadata": {},
   "outputs": [],
   "source": [
    "comedy_top_videos.to_csv('Comedy_top_views.csv', index=False)\n",
    "story_telling_top_videos.to_csv('story_telling_top_views.csv', index=False)\n",
    "talkshow_top_videos.to_csv('talkshow_top_views.csv', index=False)\n",
    "lifestyle_top_videos.to_csv('lifestyle_top_views.csv', index=False)\n",
    "podcast_top_videos.to_csv('podcast_top_views.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "00bc23dd-9665-495a-b4fa-ae8cf0086f32",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}