Data_Cleaning_Exploration_Visualization.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.base import TransformerMixin\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.chdir(\"C:\\\\Users\\\\HP\\\\Desktop\\\\datas\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv('data.tsv', sep='\\t',low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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>tconst</th>\n",
       "      <th>titleType</th>\n",
       "      <th>primaryTitle</th>\n",
       "      <th>originalTitle</th>\n",
       "      <th>isAdult</th>\n",
       "      <th>startYear</th>\n",
       "      <th>endYear</th>\n",
       "      <th>runtimeMinutes</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>tt0000001</td>\n",
       "      <td>short</td>\n",
       "      <td>Carmencita</td>\n",
       "      <td>Carmencita</td>\n",
       "      <td>0</td>\n",
       "      <td>1894</td>\n",
       "      <td>\\N</td>\n",
       "      <td>1</td>\n",
       "      <td>Documentary,Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt0000002</td>\n",
       "      <td>short</td>\n",
       "      <td>Le clown et ses chiens</td>\n",
       "      <td>Le clown et ses chiens</td>\n",
       "      <td>0</td>\n",
       "      <td>1892</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5</td>\n",
       "      <td>Animation,Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt0000003</td>\n",
       "      <td>short</td>\n",
       "      <td>Pauvre Pierrot</td>\n",
       "      <td>Pauvre Pierrot</td>\n",
       "      <td>0</td>\n",
       "      <td>1892</td>\n",
       "      <td>\\N</td>\n",
       "      <td>4</td>\n",
       "      <td>Animation,Comedy,Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt0000004</td>\n",
       "      <td>short</td>\n",
       "      <td>Un bon bock</td>\n",
       "      <td>Un bon bock</td>\n",
       "      <td>0</td>\n",
       "      <td>1892</td>\n",
       "      <td>\\N</td>\n",
       "      <td>12</td>\n",
       "      <td>Animation,Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt0000005</td>\n",
       "      <td>short</td>\n",
       "      <td>Blacksmith Scene</td>\n",
       "      <td>Blacksmith Scene</td>\n",
       "      <td>0</td>\n",
       "      <td>1893</td>\n",
       "      <td>\\N</td>\n",
       "      <td>1</td>\n",
       "      <td>Comedy,Short</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      tconst titleType            primaryTitle           originalTitle  \\\n",
       "0  tt0000001     short              Carmencita              Carmencita   \n",
       "1  tt0000002     short  Le clown et ses chiens  Le clown et ses chiens   \n",
       "2  tt0000003     short          Pauvre Pierrot          Pauvre Pierrot   \n",
       "3  tt0000004     short             Un bon bock             Un bon bock   \n",
       "4  tt0000005     short        Blacksmith Scene        Blacksmith Scene   \n",
       "\n",
       "  isAdult startYear endYear runtimeMinutes                    genres  \n",
       "0       0      1894      \\N              1         Documentary,Short  \n",
       "1       0      1892      \\N              5           Animation,Short  \n",
       "2       0      1892      \\N              4  Animation,Comedy,Romance  \n",
       "3       0      1892      \\N             12           Animation,Short  \n",
       "4       0      1893      \\N              1              Comedy,Short  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7647549 entries, 0 to 7647548\n",
      "Data columns (total 9 columns):\n",
      " #   Column          Dtype \n",
      "---  ------          ----- \n",
      " 0   tconst          object\n",
      " 1   titleType       object\n",
      " 2   primaryTitle    object\n",
      " 3   originalTitle   object\n",
      " 4   isAdult         object\n",
      " 5   startYear       object\n",
      " 6   endYear         object\n",
      " 7   runtimeMinutes  object\n",
      " 8   genres          object\n",
      "dtypes: object(9)\n",
      "memory usage: 525.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tconst             0\n",
       "titleType          0\n",
       "primaryTitle       8\n",
       "originalTitle      8\n",
       "isAdult            0\n",
       "startYear          0\n",
       "endYear            0\n",
       "runtimeMinutes     0\n",
       "genres            10\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop('tconst',axis=1,inplace=True)\n",
    "df=df.reset_index()\n",
    "df.rename(columns={\"index\":'ID'},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>titleType</th>\n",
       "      <th>primaryTitle</th>\n",
       "      <th>originalTitle</th>\n",
       "      <th>isAdult</th>\n",
       "      <th>startYear</th>\n",
       "      <th>endYear</th>\n",
       "      <th>runtimeMinutes</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>short</td>\n",
       "      <td>Carmencita</td>\n",
       "      <td>Carmencita</td>\n",
       "      <td>0</td>\n",
       "      <td>1894</td>\n",
       "      <td>\\N</td>\n",
       "      <td>1</td>\n",
       "      <td>Documentary,Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>short</td>\n",
       "      <td>Le clown et ses chiens</td>\n",
       "      <td>Le clown et ses chiens</td>\n",
       "      <td>0</td>\n",
       "      <td>1892</td>\n",
       "      <td>\\N</td>\n",
       "      <td>5</td>\n",
       "      <td>Animation,Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>short</td>\n",
       "      <td>Pauvre Pierrot</td>\n",
       "      <td>Pauvre Pierrot</td>\n",
       "      <td>0</td>\n",
       "      <td>1892</td>\n",
       "      <td>\\N</td>\n",
       "      <td>4</td>\n",
       "      <td>Animation,Comedy,Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>short</td>\n",
       "      <td>Un bon bock</td>\n",
       "      <td>Un bon bock</td>\n",
       "      <td>0</td>\n",
       "      <td>1892</td>\n",
       "      <td>\\N</td>\n",
       "      <td>12</td>\n",
       "      <td>Animation,Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>short</td>\n",
       "      <td>Blacksmith Scene</td>\n",
       "      <td>Blacksmith Scene</td>\n",
       "      <td>0</td>\n",
       "      <td>1893</td>\n",
       "      <td>\\N</td>\n",
       "      <td>1</td>\n",
       "      <td>Comedy,Short</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID titleType            primaryTitle           originalTitle isAdult  \\\n",
       "0   0     short              Carmencita              Carmencita       0   \n",
       "1   1     short  Le clown et ses chiens  Le clown et ses chiens       0   \n",
       "2   2     short          Pauvre Pierrot          Pauvre Pierrot       0   \n",
       "3   3     short             Un bon bock             Un bon bock       0   \n",
       "4   4     short        Blacksmith Scene        Blacksmith Scene       0   \n",
       "\n",
       "  startYear endYear runtimeMinutes                    genres  \n",
       "0      1894      \\N              1         Documentary,Short  \n",
       "1      1892      \\N              5           Animation,Short  \n",
       "2      1892      \\N              4  Animation,Comedy,Romance  \n",
       "3      1892      \\N             12           Animation,Short  \n",
       "4      1893      \\N              1              Comedy,Short  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Column name: titleType\n",
      "Unique values ['short' 'movie' 'tvShort' 'tvMovie' 'tvSeries' 'tvEpisode' 'tvMiniSeries'\n",
      " 'tvSpecial' 'video' 'videoGame' 'audiobook' 'radioSeries' 'episode']\n",
      "\n",
      "Column name: primaryTitle\n",
      "Unique values ['Carmencita' 'Le clown et ses chiens' 'Pauvre Pierrot' ...\n",
      " 'Danira Boukhriss Terkessidis' \"Horrid Henry's Comic Caper\"\n",
      " 'Horrid Henry Knows It All']\n",
      "\n",
      "Column name: originalTitle\n",
      "Unique values ['Carmencita' 'Le clown et ses chiens' 'Pauvre Pierrot' ...\n",
      " 'Danira Boukhriss Terkessidis' \"Horrid Henry's Comic Caper\"\n",
      " 'Horrid Henry Knows It All']\n",
      "\n",
      "Column name: isAdult\n",
      "Unique values ['0' '1' '2019' '1981' '2020' '2017' '\\\\N' '2014' '2005']\n",
      "\n",
      "Column name: startYear\n",
      "Unique values ['1894' '1892' '1893' '1895' '1896' '1898' '1897' '1900' '1899' '1901'\n",
      " '1904' '1903' '1902' '1905' '1912' '1907' '1906' '1908' '1910' '1909'\n",
      " '1914' '1911' '1913' '1915' '1919' '1916' '1917' '1918' '1936' '1925'\n",
      " '1920' '1922' '1921' '1923' '2019' '1924' '1928' '1926' '1927' '1929'\n",
      " '2000' '1993' '1935' '2014' '1930' '2004' '1942' '2011' '1934' '1931'\n",
      " '1932' '1939' '1937' '1933' '1950' '1938' '1951' '1945' '1946' '1940'\n",
      " '1944' '1949' '1947' '1941' '1952' '1970' '1957' '1943' '1959' '1948'\n",
      " '2001' '1953' '2008' '1954' '1965' '1983' '1980' '1973' '1961' '1995'\n",
      " '2016' '1955' '1962' '1958' '1956' '1960' '1964' '1967' '1968' '1963'\n",
      " '1969' '1985' '1971' '1972' '1966' '1976' '1990' '1986' '2020' '1979'\n",
      " '1974' '1978' '1981' '1988' '1975' '1977' '1989' '2003' '\\\\N' '2009'\n",
      " '1987' '2010' '2018' '1984' '1982' '1992' '1991' '1994' '1999' '2005'\n",
      " '1998' '2002' '1997' '1996' '2017' '2013' '2006' '2007' '2021' '2012'\n",
      " '2015' '1891' '1888' '1890' '2022' '1889' '2023' '2024' '2025' '2027'\n",
      " '2026' '1878' '2028' '1887' '1874' '2115' '1883' '1881' '1885']\n",
      "\n",
      "Column name: endYear\n",
      "Unique values ['\\\\N' '1947' '1945' '1955' '1949' '1958' '1951' '1950' '1952' '1954'\n",
      " '1957' '1953' '1956' '1967' '1971' '1959' '1963' '1960' '1961' '1965'\n",
      " '1980' '2016' '1986' '1962' '1972' '1966' '1970' '2009' '1973' '1987'\n",
      " '1997' '1974' '1992' '1976' '1975' '1982' '2010' '1984' '1964' '1968'\n",
      " '1989' '1969' '1994' '2004' '1981' '1999' '1988' '1985' '2003' '1977'\n",
      " '1978' '1993' '2001' '2013' '1996' '2011' '2005' '1995' '1979' '2006'\n",
      " '1983' '1990' '1998' '2008' '2012' '1991' '2020' '2007' '2021' '2015'\n",
      " '2014' '2000' '2019' '2002' '2018' '2017' '1948' '1938' '1942' '1933'\n",
      " '2026' '2022' '1944' '1946' '2024' '2023' '1937' '2028' '2030' '1941'\n",
      " '1939' '1932' '2025' '1936' '1935' '2027']\n",
      "\n",
      "Column name: runtimeMinutes\n",
      "Unique values ['1' '5' '4' '12' '40' '2' '\\\\N' '0' '3' '20' '13' '6' '11' '9' '10' '8'\n",
      " '15' '21' '16' '14' '7' '24' '100' '17' '70' '90' '25' '120' '36' '18'\n",
      " '30' '19' '44' '38' '58' '45' '50' '34' '28' '22' '35' '23' '51' '92'\n",
      " '60' '56' '53' '26' '41' '48' '68' '33' '29' '71' '31' '43' '46' '27'\n",
      " '32' '76' '85' '55' '121' '89' '37' '69' '54' '42' '150' '64' '96' '49'\n",
      " '61' '39' '101' '300' '57' '99' '110' '88' '52' '86' '170' '72' '78' '75'\n",
      " '450' '148' '124' '59' '63' '112' '1428' '84' '65' '74' '105' '310' '73'\n",
      " '82' '81' '199' '139' '109' '67' '219' '80' '195' '440' '77' '293' '97'\n",
      " '62' '47' '250' '421' '360' '180' '66' '163' '93' '400' '113' '95' '83'\n",
      " '140' '165' '116' '320' '125' '127' '138' '460' '350' '374' '480' '91'\n",
      " '87' '130' '108' '79' '136' '94' '600' '240' '117' '135' '146' '104'\n",
      " '418' '330' '242' '223' '489' '98' '119' '122' '115' '207' '166' '106'\n",
      " '111' '145' '131' '243' '172' '167' '103' '157' '107' '248' '235' '184'\n",
      " '102' '380' '200' '133' '128' '143' '155' '137' '183' '210' '417' '141'\n",
      " '162' '153' '132' '129' '123' '144' '151' '114' '359' '118' '126' '179'\n",
      " '260' '230' '168' '160' '142' '159' '185' '156' '215' '177' '213' '149'\n",
      " '147' '266' '152' '220' '217' '158' '226' '164' '194' '225' '216' '227'\n",
      " '231' '218' '246' '279' '228' '229' '212' '236' '306' '257' '245' '197'\n",
      " '255' '323' '305' '328' '269' '176' '232' '258' '256' '281' '303' '290'\n",
      " '308' '224' '294' '252' '268' '204' '298' '299' '264' '211' '302' '238'\n",
      " '263' '134' '265' '205' '154' '237' '285' '267' '247' '186' '241' '289'\n",
      " '283' '270' '251' '278' '196' '261' '275' '280' '244' '189' '169' '284'\n",
      " '295' '201' '221' '192' '171' '193' '287' '161' '181' '175' '174' '173'\n",
      " '315' '182' '239' '178' '208' '188' '497' '209' '190' '327' '317' '191'\n",
      " '434' '234' '288' '438' '378' '316' '202' '340' '203' '253' '206' '344'\n",
      " '540' '476' '451' '321' '348' '890' '309' '653' '431' '390' '187' '370'\n",
      " '396' '282' '471' '669' '467' '566' '286' '274' '763' '770' '311' '198'\n",
      " '500' '373' '382' '596' '1335' '588' '750' '273' '442' '599' '333' '614'\n",
      " '1256' '385' '780' '510' '475' '271' '291' '366' '840' '742' '931' '676'\n",
      " '547' '673' '358' '394' '301' '233' '381' '659' '752' '504' '410' '520'\n",
      " '720' '883' '313' '420' '778' '413' '402' '700' '272' '222' '924' '391'\n",
      " '561' '428' '455' '437' '416' '367' '307' '304' '570' '569' '371' '415'\n",
      " '376' '870' '312' '572' '407' '331' '375' '436' '355' '353' '357' '873'\n",
      " '384' '1290' '345' '1620' '318' '335' '624' '680' '262' '398' '567' '606'\n",
      " '214' '501' '322' '834' '735' '1140' '522' '361' '276' '439' '314' '515'\n",
      " '762' '620' '528' '623' '537' '336' '341' '568' '571' '556' '386' '383'\n",
      " '650' '292' '343' '277' '698' '401' '377' '672' '465' '702' '660' '622'\n",
      " '356' '296' '1352' '1320' '395' '583' '665' '339' '259' '351' '388' '325'\n",
      " '1120' '254' '554' '612' '616' '349' '458' '426' '1500' '630' '594'\n",
      " '1080' '485' '495' '347' '487' '1800' '577' '1440' '2800' '491' '338'\n",
      " '1100' '406' '3122' '776' '369' '297' '804' '445' '2382' '960' '615'\n",
      " '535' '392' '663' '693' '580' '425' '544' '5220' '877' '389' '464' '545'\n",
      " '640' '453' '446' '372' '629' '678' '1300' '352' '689' '793' '2925' '608'\n",
      " '2880' '1170' '462' '1084' '457' '550' '701' '657' '249' '530' '346'\n",
      " '738' '1970' '354' '551' '1260' '1020' '1200' '646' '459' '579' '820'\n",
      " '704' '408' '552' '999' '710' '715' '3900' '514' '1664' '1215' '1755'\n",
      " '1710' '1035' '1370' '1350' '1410' '1380' '326' '1430' '585' '730' '364'\n",
      " '516' '705' '3600' '1973' '1196' '765' '2001' '1000' '2002' '502' '8400'\n",
      " '541' '2000' '1999' '414' '652' '1997' '1040' '1442' '598' '526' '334'\n",
      " '1248' '441' '543' '1773' '1932' '466' '538' '4800' '363' '2150' '403'\n",
      " '900' '527' '636' '575' '379' '412' '506' '800' '519' '469' '719' '429'\n",
      " '1441' '490' 'Reality-TV' '784' '474' '422' '990' '368' '3285' '3300'\n",
      " '319' '461' '631' '1400' '10062' '2018' '2160' '494' '337' '329' '365'\n",
      " '468' '387' '454' '634' '2004' '601' 'Documentary' '13319' '1325'\n",
      " 'Talk-Show' '584' '573' '324' '691' '478' '472' '35791' '484' 'Game-Show'\n",
      " '1444' '479' '28643' '1845' '675' '1445' '1174' '1050' '435' '498' '576'\n",
      " '332' '521' '2010' '1099' '483' '668' '785' '362' '6000' '449' '682'\n",
      " '399' '670' '477' '712' 'Animation,Comedy,Family' '959' '950' '409' '443'\n",
      " '432' '456' '448' '619' '559' '736' '470' '1452' '1554' '961' '964' '342'\n",
      " '473' '493' '1560' '397' '1680' '430' '1568' '751' '761' '5700' '590'\n",
      " '602' '845' '853' '513' '2400' '1669' '605' '1210' '865' '463' '642'\n",
      " '724' '1700' '842' '9000' '613' '411' '557' '525' '810' '14400' '912'\n",
      " '703' '1584' '536' '532' '404' '625' '940' '795' '1470' '1411' '546'\n",
      " '1716' '2288' '3000' '509' '3077' '419' '936' '747' '1005' '1008' '1285'\n",
      " '655' '2565' '1151' '740' '549' '1644' '539' '1207' '3240' '2905' '5460'\n",
      " '1068' '481' '607' '433' '1415' '452' '511' '685' '582' '684' '662' '661'\n",
      " '597' '405' '1559' '771' '4080' '447' '958' '496' '492' '1044' '758'\n",
      " '914' '1616' '2070' '923' '789' '542' '4162' '3825' '697' '1228' '1860'\n",
      " '482' '2015' '499' '773' '1439' '1329' '1532' '548' '954' '5760' '746'\n",
      " '1184' '1179' '783' '486' '423' '51420' '531' '1750' '808' '1980' '2112'\n",
      " '716' '690' '755' '721' '424' '2088']\n",
      "\n",
      "Column name: genres\n",
      "Unique values ['Documentary,Short' 'Animation,Short' 'Animation,Comedy,Romance' ...\n",
      " 'Mystery,Reality-TV,Thriller' 'Musical,Reality-TV,Talk-Show'\n",
      " 'Comedy,Mystery,Talk-Show']\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for i in df.columns:\n",
    "    if np.dtype(df['{}'.format(i)])==np.dtype('O'):\n",
    "        print(\"Column name: {}\".format(i))\n",
    "        print(\"Unique values\" ,df['{}'.format(i)].unique(),end=\"\\n\")\n",
    "        print(end='\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=df.replace('\\\\N',np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in df[(df['isAdult']!='0')&(df['isAdult']!='1')].isAdult.unique():\n",
    "    df.isAdult.replace('{}'.format(i),np.nan,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['runtimeMinutes']=pd.to_numeric(df['runtimeMinutes'],errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID                      0\n",
       "titleType               0\n",
       "primaryTitle            8\n",
       "originalTitle           8\n",
       "isAdult                10\n",
       "startYear          780456\n",
       "endYear           7574669\n",
       "runtimeMinutes    5490720\n",
       "genres             595501\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop('endYear',axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "class DataFrameImputer(TransformerMixin):\n",
    "\n",
    "    def __init__(self):\n",
    "        \"\"\"\n",
    "        Impute missing values.\n",
    "\n",
    "        Columns of dtype object are imputed with the most frequent value \n",
    "        in column.\n",
    "\n",
    "        Columns of other types are imputed with mean of column.\n",
    "\n",
    "        \"\"\"\n",
    "    def fit(self, X, y=None):\n",
    "\n",
    "        self.fill = pd.Series([X[c].value_counts().index[0]\n",
    "            if X[c].dtype == np.dtype('O') else X[c].mean() for c in X],\n",
    "            index=X.columns)\n",
    "\n",
    "        return self\n",
    "\n",
    "    def transform(self, X, y=None):\n",
    "        return X.fillna(self.fill)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = DataFrameImputer().fit_transform(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.runtimeMinutes=df.runtimeMinutes.astype('int')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID                0\n",
       "titleType         0\n",
       "primaryTitle      0\n",
       "originalTitle     0\n",
       "isAdult           0\n",
       "startYear         0\n",
       "runtimeMinutes    0\n",
       "genres            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "sep_genres=df.genres.str.split(',',expand=True)\n",
    "all_genres=pd.unique(sep_genres[:].values.ravel(order='K'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "grouped_genres=pd.DataFrame()\n",
    "for i in range(all_genres.shape[0]-1):\n",
    "    sep_genres=df[df.genres.str.contains(all_genres[i])]\n",
    "    grouped_genres[all_genres[i]]=sep_genres.groupby(['startYear']).genres.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>Documentary</th>\n",
       "      <th>Animation</th>\n",
       "      <th>Comedy</th>\n",
       "      <th>Short</th>\n",
       "      <th>Romance</th>\n",
       "      <th>News</th>\n",
       "      <th>Drama</th>\n",
       "      <th>Fantasy</th>\n",
       "      <th>Horror</th>\n",
       "      <th>Biography</th>\n",
       "      <th>...</th>\n",
       "      <th>War</th>\n",
       "      <th>Sci-Fi</th>\n",
       "      <th>Western</th>\n",
       "      <th>Thriller</th>\n",
       "      <th>Sport</th>\n",
       "      <th>Film-Noir</th>\n",
       "      <th>Talk-Show</th>\n",
       "      <th>Game-Show</th>\n",
       "      <th>Adult</th>\n",
       "      <th>Reality-TV</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>startYear</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1874</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1878</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1881</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1883</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1887</th>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>4478</td>\n",
       "      <td>2881</td>\n",
       "      <td>9771</td>\n",
       "      <td>7775</td>\n",
       "      <td>3071</td>\n",
       "      <td>4123</td>\n",
       "      <td>20237</td>\n",
       "      <td>1228</td>\n",
       "      <td>2215</td>\n",
       "      <td>577</td>\n",
       "      <td>...</td>\n",
       "      <td>109</td>\n",
       "      <td>1233</td>\n",
       "      <td>111</td>\n",
       "      <td>2383</td>\n",
       "      <td>1557</td>\n",
       "      <td>0</td>\n",
       "      <td>5423</td>\n",
       "      <td>1494</td>\n",
       "      <td>809</td>\n",
       "      <td>2966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022</th>\n",
       "      <td>153</td>\n",
       "      <td>141</td>\n",
       "      <td>262</td>\n",
       "      <td>244</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>600</td>\n",
       "      <td>73</td>\n",
       "      <td>222</td>\n",
       "      <td>39</td>\n",
       "      <td>...</td>\n",
       "      <td>24</td>\n",
       "      <td>112</td>\n",
       "      <td>18</td>\n",
       "      <td>171</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023</th>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>68</td>\n",
       "      <td>9</td>\n",
       "      <td>17</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2027</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>143 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Documentary  Animation  Comedy  Short  Romance  News  Drama  \\\n",
       "startYear                                                                \n",
       "1874                 1          0       0      1        0     0      0   \n",
       "1878                 1          1       0      2        0     0      0   \n",
       "1881                 1          0       0      1        0     0      0   \n",
       "1883                 1          0       0      1        0     0      0   \n",
       "1887                14          0       0     45        0     0      0   \n",
       "...                ...        ...     ...    ...      ...   ...    ...   \n",
       "2021              4478       2881    9771   7775     3071  4123  20237   \n",
       "2022               153        141     262    244       62     0    600   \n",
       "2023                 8         11      24     28       10     0     68   \n",
       "2024                 1          0      10      3        7     0     19   \n",
       "2027                 2          0       0      2        0     0      2   \n",
       "\n",
       "           Fantasy  Horror  Biography  ...  War  Sci-Fi  Western  Thriller  \\\n",
       "startYear                              ...                                   \n",
       "1874             0       0          0  ...    0       0        0         0   \n",
       "1878             0       0          0  ...    0       0        0         0   \n",
       "1881             0       0          0  ...    0       0        0         0   \n",
       "1883             0       0          0  ...    0       0        0         0   \n",
       "1887             0       0          0  ...    0       0        0         0   \n",
       "...            ...     ...        ...  ...  ...     ...      ...       ...   \n",
       "2021          1228    2215        577  ...  109    1233      111      2383   \n",
       "2022            73     222         39  ...   24     112       18       171   \n",
       "2023             9      17          5  ...    2      10        0        14   \n",
       "2024            13       4          0  ...    0       7        1         4   \n",
       "2027             1       0          0  ...    0       1        0         0   \n",
       "\n",
       "           Sport  Film-Noir  Talk-Show  Game-Show  Adult  Reality-TV  \n",
       "startYear                                                             \n",
       "1874           0          0          0          0      0           0  \n",
       "1878           0          0          0          0      0           0  \n",
       "1881           0          0          0          0      0           0  \n",
       "1883           0          0          0          0      0           0  \n",
       "1887           1          0          0          0      0           0  \n",
       "...          ...        ...        ...        ...    ...         ...  \n",
       "2021        1557          0       5423       1494    809        2966  \n",
       "2022          19          0          2          4      0           4  \n",
       "2023           4          0          2          0      1           0  \n",
       "2024           2          0          0          0      0           0  \n",
       "2027           0          0          0          0      0           0  \n",
       "\n",
       "[143 rows x 28 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_genres=grouped_genres.replace(np.nan,0)\n",
    "grouped_genres=grouped_genres.astype('int')\n",
    "grouped_genres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Documentary', 'Animation', 'Comedy', 'Short', 'Romance', 'News',\n",
       "       'Drama', 'Fantasy', 'Horror', 'Biography', 'Music', 'Crime', 'Family',\n",
       "       'Adventure', 'Action', 'History', 'Mystery', 'Musical', 'War', 'Sci-Fi',\n",
       "       'Western', 'Thriller', 'Sport', 'Film-Noir', 'Talk-Show', 'Game-Show',\n",
       "       'Adult', 'Reality-TV'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_genres.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "grouped_genres.columns=grouped_genres.columns.str.lower()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['documentary', 'animation', 'comedy', 'short', 'romance', 'news',\n",
       "       'drama', 'fantasy', 'horror', 'biography', 'music', 'crime', 'family',\n",
       "       'adventure', 'action', 'history', 'mystery', 'musical', 'war', 'sci_fi',\n",
       "       'western', 'thriller', 'sport', 'film_noir', 'talk_show', 'game_show',\n",
       "       'adult', 'reality_tv'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for i in grouped_genres.columns:\n",
    "    new_col_names=re.sub(r'-','_',i)\n",
    "    grouped_genres.rename(columns={'{}'.format(i):'{}'.format(new_col_names)},inplace=True)\n",
    "grouped_genres.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = grouped_genres[(grouped_genres.index<='2021')&(grouped_genres.index>='1990')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,10))\n",
    "plt.plot(data)\n",
    "\n",
    "plt.xticks(np.arange(0,31, step =2))\n",
    "plt.legend(all_genres)\n",
    "plt.yscale(value= 'linear')\n",
    "plt.ylabel('Number of movies produced', rotation = 'vertical', size = 18)\n",
    "plt.xlabel('Years', size = 18)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+OkcAT1qzcCRJkiRJkrSUTJKc2pSuS9/qnNnvI0mSJEmSJM3KpDWnbjbDtg2Ata99KJIkSZIkSVpqJklOnQY8broNSQI8lplnVkmSJEmSJEkrmSQ5dQCwfZKDkiwbDfa3DwS27/eRJEmSJEmSZmWd2e5YVR9K8kBgd+AZSc4HCrgtEODTVfWB+QlTkiRJkiRJi9FENaeq6unAbsCXgUuAy4DDgSdX1VPnPjxJkiRJkiQtZrOeOTVSVYcCh85DLJIkSZIkSVpiJu3WJ0mSJEmSJM2ZWc+cSvIfs9itquqNaxCPJEmSJEmSlpBJlvXtO8O2oiuKXoDJKUmSJEmSJM3KJMmpTVfz+M2AlwM3BfaYi6AkSZIkSZK0NMw6OVVVv1rNpp8nOQI4BngW8Jq5CEySJEmSJEmL35wURK+qAj4L7D4XzydJkiRJkqSlYS679V0fuMUcPp8kSZIkSZIWuTlJTiXZBtgLOGMunk+SJEmSJElLw6xrTiX5xWo23Ry4CXAl8Ny5CEqSJEmSJElLwyTd+s4BaspYAScA/wvsX1Vnz1FckiRJkiRJWgIm6db3oHmMQ5IkSZIkSUvQXBZElyRJkiRJkiay2plTSTa+Nk9YVedc+3AkSZIkSZK0lMy0rO9sVq0xNRtrX7tQJEmSJEmStNTMlJx6A6smpx4LbAUcAZwOBNgCeAhwEvClOY9QkiRJkiRJi9Zqk1NVte/4/ST/BGwKbF1VJ03Zdi/gSLqufZIkSZIkSdKsTFIQ/VXA+6YmpgCq6gTgv4FXz1FckiRJkiRJWgImSU7dCbhghu2/AzZfs3AkSZIkSZK0lEySnDofeEKSTN2QZC3gicBv5yowSZIkSZIkLX6TJKc+BDwI+EaSnZNsmmSTJI8AvgHcH9h/HmKUJEmSJEnSIjVTt76p9gNuDbyErjvfVP9dVW+ek6gkSZIkSZK0JMw6OVVVBbwsyfuBx9N17gvwc+DwqjpzXiKUJEmSJEnSojXJzCkAqup/gbfOQyySJEmSJElaYiZOTvUF0e8J3KEf+gVwYj+zSpIkSZIkSZq1iZJTSXYG3g/cfsqms5O8qKq+MWeRSZIkSZIkadGbdXIqyQ7A4cCfgPcAp/ab7go8Ezg8yY5V9f25DlKSJEmSJEmL0yQzp/4D+C1w76o6f3xDkrcBP+z32XnuwpMkSZIkSdJittYE+94b2H9qYgqgH/sQsP1cBSZJkiRJkqTFb5Lk1PWBy2bYfmm/jyRJkiRJkjQrkySnzgB2S7LKUsB+7Cn9PpIkSZIkSdKsTJKc+gDd0r4jkzwqyab95dHAkf22989HkJIkSZIkSVqcZl0Qvao+nGRz4F+B+02zy9uq6oA5i0ySJEmSJEmL3iTd+qiqVyU5AHgcsCkQ4OfA4VX1v/MQnyRJkiRJkhaxWSWnktwYeA/wtar6DPC2eY1KkiRJkiRJS8Ksak5V1f8BuwHrz284kiRJkiRJWkomKYh+OrDJPMUhSZIkSZKkJWiS5NRbgRcmudN8BSNJkiRJkqSlZZKC6HcBfg2ckuTLwM+AP0/Zp6rqjXMVnCRJkiRJkha3SZJT+47d3mU1+xRgckqSJEmSJEmzMklyatN5i0KSJEmSJElL0qyTU1X1q/kMRJIkSZIkSUvPJDOnrpbkhsDt+7u/qqqptackSZIkSZKkazRJtz6SbJHkq8AfgVP7yx+TfDXJlvMQnyRJkiRJkhaxWSenkmwFHAfsBBwFvBt4D/Bt4OHA9/p9Zvt8Bya5IMmpY2NvS/LTJCcn+UKSm/XjmyS5PMlJ/eWDY4/ZOskpSc5K8p4k6cfXTfLpfvyHSTaZbWySJEmSJElaGJPMnHo78Hdg26rauapeUVUvr6qdgO3oOvW9bYLnOwjYecrYEcCWVXV34H+BV49t+3lVbdVfXjA2/gFgT2Dz/jJ6zucAF1fVHYF3AW+ZIDZJkiRJkiQtgEmSU9sD76uqE6Zu6Mf+G7jPbJ+sqo4B/jBl7JtVdWV/9wfARjM9R5LbAOtX1XFVVcBHgcf3mx8HHNzf/izwkNGsKkmSJEmSJA3DJMmpK4DfzrD9PODyNQtnJc8GvjZ2f9MkJyY5Osn9+7ENgXPH9jm3Hxtt+zVAn/C6BLjFHMYnSZIkSZKkNTRJcuqrwGNn2P5YVk4mXWtJXgtcCXy8Hzof2Liq7gm8AvhEkvWB6WZC1ehpZtg29fX2TLI8yfILL7xwzYKXJEmSJEnSrE2SnHoFcIskn0mybZKb9JftknwWuDnw8jUNKMkewKOBp/VL9aiqv1TV7/vbxwM/B+5EN1NqfOnfRnQzuOi33a5/znWAmzJlGeFIVe1fVdtU1TbLli1b0y9BkiRJkiRJs7TOBPteQDfz6F7AE6ZsG81SumBKWaeqqlm/RpKdgVcBD6yqP4+NLwP+UFVXJbkDXeHzX1TVH5JclmR74IfA7sB7+4cdDuxB12HwScBRo2SXJEmSJEmShmGS5NRHWc2yuGsjySeBBwG3THIusA9dd751gSP6JNcP+s58DwDekORK4CrgBVU1mgX1QrrOf+vRLSscLS08ADgkyVl0M6Z2m6vYJUmSJEmSNDdmnZyqqmfO5QtX1VOnGT5gNft+DvjcarYtB7acZvwKYNc1iVGSJEmSJEnza5KaU5IkSZIkSdKcMjklSZIkSZKkZkxOSZIkSZIkqRmTU5IkSZIkSWrG5JQkSZIkSZKaMTklSZIkSZKkZuYkOZVk3bl4HkmSJEmSJC0ts05OJXlEkn2njL0oyaXAn5J8Isn15jpASZIkSZIkLV6TzJx6JXCX0Z0k/wi8GzgPOAJ4CvDiOY1OkiRJkiRJi9okyal/BJaP3X8KcDmwXVU9Avg0sMccxiZJkiRJkqRFbpLk1AbARWP3HwocVVWX9ve/A2w6R3FJkiRJkiRpCZgkOXURcHuAJDcBtgWOHdt+PWDtuQtNkiRJkiRJi906E+x7HPCCJKcBj+gf+9Wx7XcEzp/D2CRJkiRJkrTITZKc2gf4NnBof//gqjodIEmAXfrtkiRJkiRJ0qzMOjlVVaf3Hfp2AC6pqmPGNt8MeBdd3SlJkiRJkiRpViaZOUVV/QH40jTjFwPvnqugJEmSJEmStDRMUhAdgCQPSPKfST6U5C792I378ZvNeYSSJEmSJElatGadnEqydpJP09WVeg3wbOC2/eYrgS8CL5rrACVJkiRJkrR4TTJz6lXAE4FXAP8IZLShqq4AvgA8ck6jkyRJkiRJ0qI2SXJqd+CjVfVu4KJptp8BbDYnUUmSJEmSJGlJmCQ5tQlw3Azb/whssCbBSJIkSZIkaWmZJDl1GXDzGbbfEbhwzcKRJEmSJEnSUjJJcupY4OlJMnVDkg3oCqR/e64CkyRJkiRJ0uI3SXLqTcDmwFHAo/uxeyR5PnACcCNgv7kNT5IkSZIkSYvZOrPdsaqWJ3kCcADwkX747XRd+y4Adqmq0+c+REmSJEmSJC1Ws05OAVTVV5NsAjwM+Ee6xNTPgG9U1Z/nPjxJkiRJkiQtZhMlpwCq6i/Al/uLJEmSJEmSdK1NUnNKkiRJkiRJmlOrnTmV5CiggJ2q6sr+/jWpqnrInEUnSZIkSZKkRW2mZX13AP5OV1dqdL/mPSJJkiRJkiQtGatNTlXVJjPdlyRJkiRJktaUNackSZIkSZLUzKyTU0k+n+SxSSbu8CdJkiRJkiRNZ5KZU48AvgCcl+T/JbnXPMUkSZIkSZKkJWKS5NStgRcAZwIvAX6c5NQk/5rkNvMSnSRJkiRJkha1WSenqurSqvpQVd0f2Ax4A3B94K3AOUm+lmS3eYpTkiRJkiRJi9C1KoheVWdX1eur6k7A/YADgB2Aj81lcJIkSZIkSVrc1qi4eZIbAXfqLzeak4gkSZIkSZK0ZEycnEoS4GHA7sDjgRsCFwHvAw6ey+AkSZIkSZK0uM06OZVkS7qE1D8BtwGuBL5Cl5D6SlVdOS8RSpIkSZIkadGaZObUyf31cuDNwCer6g9zH5IkSZIkSZKWikmSU28FDq6qM+YrGEmSJEmSJC0ts05OVdXe8xmIJEmSJEmSlp5rUxB9R2AX4A790C+Az1fVd+YwLkmSJEmSJC0BkxREX4uu+Pk/AQH+3m9aC3hxko8De1RVzXmUkiRJkiRJWpTWmmDffwGeBnwWuCewXn/ZCji03/aKOY5PkiRJkiRJi9gky/qeCXyzqp4yZfxk4KlJNgCeDbxjjmKTJEmSJEnSIjfJzKk7AF+aYfuXWFGHSpIkSZIkSbpGkySn/gTceobt/9DvI0mSJEmSJM3KJMmp7wL/nOSuUzck2QJ4MXDMXAUmSZIkSZKkxW+SmlP/AfwAODHJYcDp/fhdgccAfwX2mdvwJEmSJEmStJjNOjlVVackeSDwbuCJ/WXk+8BeVXXKHMcnSZIkSZKkRWySmVNU1XJghyTLgE2BAL+oqgvnIzhJkiRJkiQtbhMlp0b6ZJQJKUmSJEmSJK2RiZNTSW4IbALcgm7m1EqqyqLokiRJkiRJmpVZd+tLcqMk+wN/AE4BvgN8e+wyuj/b5zswyQVJTh0bu3mSI5L8rL/eYGzbq5OcleTMJDuNjW+d5JR+23uSpB9fN8mn+/EfJtlktrFJkiRJkiRpYUwyc+qDwNOALwDfBS5ew9c+CHgf8NGxsb2BI6tqvyR79/dflWQLYDe6zoC3Bb6V5E5VdRXwAWBPuk6CXwV2Br4GPAe4uKrumGQ34C3AU9YwZkmSJEmSJM2hSZJTjwMOqKrnzcULV9Ux08xmehzwoP72wXSzsV7Vj3+qqv4C/DLJWcB2Sc4G1q+q4wCSfBR4PF1y6nHAvv1zfRZ4X5JUVc1F/JIkSZIkSVpzs17WB/wN+PF8BdK7dVWdD9Bf36of3xD49dh+5/ZjG/a3p46v9JiquhK4hK5OliRJkiRJkgZikuTUUcC95yuQa7BK4XWgZhif6TGrPnmyZ5LlSZZfeKFNCCVJkiRJkhbKJMmpfwEekmSvJNebp3h+l+Q2AP31Bf34ucDtxvbbCDivH99omvGVHpNkHeCmdMXcV1FV+1fVNlW1zbJly+boS5EkSZIkSdI1mXVyqqrOAV4DvAP4U5JfJfnFlMvP1zCew4E9+tt7AIeNje/Wd+DbFNgc+FG/9O+yJNv3Xfp2n/KY0XM9CTjKelOSJEmSJEnDMuuC6EmeCRwA/BU4kzXs1pfkk3TFz2+Z5FxgH2A/4NAkzwHOAXYFqKrTkhwKnA5cCby479QH8EK6zn/r0RVC/1o/fgBwSF88/Q903f4kSZIkSZI0IJN063stcBKwU1VdtKYvXFVPXc2mh6xm/zcBb5pmfDmw5TTjV9AntyRJkiRJkjRMkySnNgTeNReJKUmSJEmSpJlssvdXFvw1z97vUQv+mpqsIPqZwM3nKxBJkiRJkiQtPZMkp/4LeFGSja5xT0mSJEmSJGkWJlnW94/Ab4AzknwB+CVw1ZR9qqreOFfBSZIkSZIkaXGbJDm179jtp69mnwJMTkmSJEmSJGlWJklObTpvUUiSJEmSJGlJmnVyqqp+NZ+BSJIkSZIkaemZpCC6JEmSJEmSNKdMTkmSJEmSJKkZk1OSJEmSJElqxuSUJEmSJEmSmjE5JUmSJEmSpGZWm5xK8oskjx27/x9JtlyYsCRJkiRJkrQUzDRzamPgJmP39wXuPq/RSJIkSZIkaUmZKTn1G+BuU8ZqHmORJEmSJEnSErPODNsOA/4tyc7AH/qxf0/yvBkeU1X1kDmLTpIkSZIkSYvaTMmpVwEXAw8Fbk83a2oZcMMFiEuSJEmSJElLwGqTU1V1ObBPfyHJ34GXVdUnFig2SZIkSZIkLXIz1Zya6lnA9+crEEmSJEmSJC09My3rW0lVHTy6neQWwKb93V9W1e/nOjBJkiRJkiQtfpPMnCLJPZIcDVwA/LC/XJDkO0nuPh8BSpIkSZIkafGa9cypJFsCxwI3AA4HTu033RV4DPDdJPetqtPmPEpJkiRJkiQtSrNOTgFvAP4G3LeqThnf0Ceujun3eeLchSdJkiRJkqTFbJJlfQ8A/ntqYgqgqk4F3g88cK4CkyRJkiRJ0uI3SXLqRsBvZ9h+fr+PJEmSJEmSNCuTJKd+ATx6hu2P7veRJEmSJEmSZmWS5NRHgZ2SfCLJXZOs3V+2TPJx4OHAQfMSpSRJkiRJkhalSQqivx24F7Ab8BTg7/34WkCAQ4F3zGl0kiRJkiRJWtRmnZyqqquApyT5MPB4YFO6pNTPgS9W1bfmJUJJkiRJkiQtWpPMnAKgqo4AjpiHWCRJkiRJkrTETFJzSpIkSZIkSZpTJqckSZIkSZLUjMkpSZIkSZIkNWNySpIkSZIkSc2YnJIkSZIkSVIzs0pOJVkvye5J7j3fAUmSJEmSJGnpmO3Mqb8AHwLuOY+xSJIkSZIkaYmZVXKqqv4O/BpYf37DkSRJkiRJ0lIySc2pg4FnJFl3voKRJEmSJEnS0rLOBPt+H3gCcFKS9wM/A/48daeqOmaOYpMkSZIkSdIiN0ly6oix2+8Gasr29GNrr2lQkiRJkiRJWhomSU49a96ikCRJkiRJ0pI06+RUVR08n4FIkiRJkiRp6ZmkILokSZIkSZI0pyZKTiW5XZIDk5yb5K9JHtyPL+vHt52fMCVJkiRJkrQYzTo5lWRTYDnwROA0xgqfV9WFwDbAc+c6QEmSJEmSJC1ekxREfxPwd2BL4HLgginbvwo8Zo7ikiRJkiRJ0hIwybK+hwLvr6pfAzXN9l8BG81JVJIkSZIkSVoSJklOrQ+cP8P26zPZTCxJkiRJkiQtcZMkp34N3HWG7dsDZ61ZOJIkSZIkSVpKJklOfR54dpItx8YKIMkTgV2BQ+cwNkmSJEmSJC1ykySn3gScC/wQ+BhdYmrvJMfRJaV+ArxjziOUJEmSJEnSojXrGlFVdWmS+wBvBP4JCPAw4I/A+4HXVtUV8xGkJEmSJEmaP5vs/ZUFf82z93vUgr+mhmmiAuZVdSmwF7BXkmV0CaoLq2q67n2SJEmSJEnSjK51d72qunAuA5EkSZIkSdLSM0nNKQCSPDnJJ5P8sL98MsmT5yqgJHdOctLY5dIkL0uyb5LfjI0/cuwxr05yVpIzk+w0Nr51klP6be9JkrmKU5IkSZIkSWtu1jOnktwQOAx4MN1yvj/219sCT07yfOCxVfWnNQmoqs4Etupfc23gN8AXgGcB76qqt0+JawtgN+CuwG2BbyW5U1VdBXwA2BP4AfBVYGfga2sSnyRJkiRJkubOJDOn/gt4CPBe4LZVdfOq2oAuIfReYEe6jn5z6SHAz6vqVzPs8zjgU1X1l6r6JXAWsF2S2wDrV9VxfU2sjwKPn+P4JEmSJEmStAYmSU49BfhMVb2sqn47Gqyq31bVy4DP9fvMpd2AT47d/+ckJyc5MMkG/diGwK/H9jm3H9uwvz11XJIkSZIkSQMxSXJqfeDbM2w/qt9nTiS5PvBY4DP90AeAzeiW/J0PvGO06zQPrxnGp3utPZMsT7L8wgut8y5JkiRJkrRQJklOnQxsPsP2zYFT1iyclTwCOKGqfgdQVb+rqquq6u/Ah4Dt+v3OBW439riNgPP68Y2mGV9FVe1fVdtU1TbLli2bwy9BkiRJkiRJM5kkOfXvwPOSPGbqhiSPA54LvGauAgOeytiSvr6G1MguwKn97cOB3ZKsm2RTuiTZj6rqfOCyJNv3Xfp2pyvoLkmSJEmSpIFYbbe+JAdOM/xL4ItJzgTOoFsmtwVwZ7pZU0+jW963RvrOgA8Dnj82/NYkW/WvefZoW1WdluRQ4HTgSuDFfac+gBcCBwHr0XXps1OfJEmSJEnSgKw2OQU8c4Ztd+kv4+4O3A14zhrGRFX9GbjFlLFnzLD/m5imU2BVLQe2XNN4JEmSJEmSND9Wm5yqqkmW/EmSJEmSJEkTMwElSZIkSZKkZkxOSZIkSZIkqZmZak6tIsl9gRfTdcS7BZApu1RVbTZHsUmSJEmSJGmRm3VyKsnzgA8CfwXOBM6Zr6AkSZIkSZK0NEwyc+o1wEnATlV10fyEI0mSJEmSpKVkkppTtwYOMDElSZIkSZKkuTJJcuoMYIP5CkSSJEmSJElLzyTJqTcBL0qy4XwFI0mSJEmSpKVl1jWnqurzSW4InJ7ki8DZwFWr7lZvnLvwJEmSJEmStJhN0q3vTsAbgJsAz1jNbgWYnJIkSZIkSdKsTNKt7/3ArYC9gO8CF89LRJIkSZIkSVoyJklObQ+8vareO1/BSJIkSZIkaWmZpCD6pcCF8xWIJEmSJEmSlp5JklOHAk+Yr0AkSZIkSZK09EyyrO9/gIP7Tn3vAX7Jqt36qKpz5iY0SZIkSZIkLXaTJKdOo+vGtw3wmBn2W3uNIpIkSZIkSdKSMUly6g10ySlJkiRJkiRpTsw6OVVV+85jHJIkSZIkSVqCJimILkmSJEmSJM2pWc+cSvKA2exXVcdc+3AkSZIkSZK0lExSc+o7zK7mlAXRJUmSJEmSNCuTJKeetZrHbwY8Ezgb+J81D0mSJEmSJElLxSQF0Q9e3bYkbwNOmJOIJEmSJEmStGTMSUH0qroY+DDwb3PxfJIkSZIkSVoa5rJb38XAHebw+SRJkiRJkrTIzUlyKskNgGcAv52L55MkSZIkSdLSMOuaU0kOXM2mmwP3AZYBr5yLoCRJkiRJkrQ0TNKt75mrGf8D8L/Ay6vqE2sckSRJkiRJkpaMSbr1zWV9KkmSJEmSJGlOC6JLkiRJkiRJEzE5JUmSJEmSpGZmXNaX5PAJn6+q6nFrEI8kSZIkSZKWkGuqOfXoCZ+vrm0gkiRJkiRJWnpmXNZXVWtd0wV4MPDj/iHnz3vEkiRJkiRJWjSudc2pJFsm+QpwJHBn4HXA5nMVmCRJkiRJkha/a1rWt4oktwPeCDwNuAp4D/CfVfX7OY5NkiRJkiRJi9ysk1NJNgBeC7wIWBf4JPDvVXX2/IQmSZIkSZKkxe4ak1NJ1gVeBrwKuBlwBPCqqjppPgOTJEmSJEnS4jdjzakkzwbOAv4L+Dnw0KraycSUJEmSJEmS5sI1zZz6MFDAcuBQYKskW82wf1XVu+YoNkmSJEmSJC1ys6k5FWDb/nJNCjA5JUmSJEmSpFm5puTUjgsShSRJkiRJkpakGZNTVXX0QgUiSZIkSZKkpWfGguiSJEmSJEnSfDI5JUmSJEmSpGZMTkmSJEmSJKkZk1OSJEmSJElq5pq69UmSJEmSpDm2yd5fWfDXPHu/Ry34a0qz4cwpSZIkSZIkNWNySpIkSZIkSc2YnJIkSZIkSVIzJqckSZIkSZLUjMkpSZIkSZIkNWNySpIkSZIkSc0MMjmV5OwkpyQ5KcnyfuzmSY5I8rP+eoOx/V+d5KwkZybZaWx86/55zkryniRp8fVIkiRJkiRpeoNMTvV2rKqtqmqb/v7ewJFVtTlwZH+fJFsAuwF3BXYG3p9k7f4xHwD2BDbvLzsvYPySJEmSJEm6BkNOTk31OODg/vbBwOPHxj9VVX+pql8CZwHbJbkNsH5VHVdVBXx07DGSJEmSJEkagKEmpwr4ZpLjk+zZj926qs4H6K9v1Y9vCPx67LHn9mMb9renjkuSJEmSJGkg1mkdwGrsUFXnJbkVcESSn86w73R1pGqG8VWfoEuA7Qmw8cYbTxqrJEmSJEmSrqVBzpyqqvP66wuALwDbAb/rl+rRX1/Q734ucLuxh28EnNePbzTN+HSvt39VbVNV2yxbtmwuvxRJkiRJkiTNYHDJqSQ3SnKT0W3g4cCpwOHAHv1uewCH9bcPB3ZLsm6STekKn/+oX/p3WZLt+y59u489RpIkSZIkSQMwxGV9twa+0OWTWAf4RFV9PcmPgUOTPAc4B9gVoKpOS3IocDpwJfDiqrqqf64XAgcB6wFf6y+SJEmSJEkaiMElp6rqF8A9phn/PfCQ1TzmTcCbphlfDmw51zFKkiRJkiRpbgxuWZ8kSZIkSZKWDpNTkiRJkiRJasbklCRJkiRJkpoxOSVJkiRJkqRmTE5JkiRJkiSpGZNTkiRJkiRJasbklCRJkiRJkpoxOSVJkiRJkqRm1mkdgCRJkiRJ82mTvb+y4K959n6PWvDXlK6rnDklSZIkSZKkZkxOSZIkSZIkqRmTU5IkSZIkSWrG5JQkSZIkSZKaMTklSZIkSZKkZkxOSZIkSZIkqRmTU5IkSZIkSWrG5JQkSZIkSZKaWad1AJIkSZKkxWWTvb+y4K959n6PWvDXlDQ3nDklSZIkSZKkZkxOSZIkSZIkqRmTU5IkSZIkSWrG5JQkSZIkSZKaMTklSZIkSZKkZkxOSZIkSZIkqRmTU5IkSZIkSWrG5JQkSZIkSZKaMTklSZIkSZKkZkxOSZIkSZIkqRmTU5IkSZIkSWrG5JQkSZIkSZKaMTklSZIkSZKkZkxOSZIkSZIkqRmTU5IkSZIkSWrG5JQkSZIkSZKaMTklSZIkSZKkZkxOSZIkSZIkqRmTU5IkSZIkSWrG5JQkSZIkSZKaMTklSZIkSZKkZkxOSZIkSZIkqRmTU5IkSZIkSWrG5JQkSZIkSZKaMTklSZIkSZKkZkxOSZIkSZIkqZl1WgcgSZIkSdclm+z9lQV/zbP3e9Rqtw0tHkmalMkpSZIkSYNl4kWSFj+X9UmSJEmSJKkZZ05JkiRJupozlSRJC82ZU5IkSZIkSWrGmVOSJElSI85SkiTJmVOSJEmSJElqyOSUJEmSJEmSmjE5JUmSJEmSpGZMTkmSJEmSJKkZk1OSJEmSJElqZnDJqSS3S/LtJGckOS3JXv34vkl+k+Sk/vLIsce8OslZSc5MstPY+NZJTum3vSdJWnxNkiRJkiRJmt46rQOYxpXAv1TVCUluAhyf5Ih+27uq6u3jOyfZAtgNuCtwW+BbSe5UVVcBHwD2BH4AfBXYGfjaAn0dkiRJkiRJugaDmzlVVedX1Qn97cuAM4ANZ3jI44BPVdVfquqXwFnAdkluA6xfVcdVVQEfBR4/v9FLkiRJkiRpEoNLTo1LsglwT+CH/dA/Jzk5yYFJNujHNgR+Pfawc/uxDfvbU8ene509kyxPsvzCCy+cyy9BkiRJkiRJMxhscirJjYHPAS+rqkvpluhtBmwFnA+8Y7TrNA+vGcZXHazav6q2qaptli1btqahS5IkSZIkaZYGmZxKcj26xNTHq+rzAFX1u6q6qqr+DnwI2K7f/VzgdmMP3wg4rx/faJpxSZIkSZIkDcTgCqL3HfUOAM6oqneOjd+mqs7v7+4CnNrfPhz4RJJ30hVE3xz4UVVdleSyJNvTLQvcHXjvQn0dkiRJGp5N9v7Kgr/m2fs9asFfU5Kk65LBJaeAHYBnAKckOakfew3w1CRb0S3NOxt4PkBVnZbkUOB0uk5/L+479QG8EDgIWI+uS5+d+iRJkiRJkgZkcMmpqjqW6etFfXWGx7wJeNM048uBLecuOkmSJEmSJM2lQdackiRJkiRJ0tIwuJlTkiRJWhys7yRJkmbD5JQkSdIiYTJIkiRdF7msT5IkSZIkSc2YnJIkSZIkSVIzJqckSZIkSZLUjMkpSZIkSZIkNWNySpIkSZIkSc2YnJIkSZIkSVIz67QOQJIk6bpok72/suCvefZ+j1rw15QkSZpvzpySJEmSJElSMyanJEmSJEmS1IzJKUmSJEmSJDVjzSlJknSdYI0nSZKkxcmZU5IkSZIkSWrG5JQkSZIkSZKaMTklSZIkSZKkZkxOSZIkSZIkqRmTU5IkSZIkSWrGbn2SJGkVdsaTJEnSQjE5JUnSAJgMkiRJ0lJlckqStOSYCJIkSZKGw5pTkiRJkiRJasbklCRJkiRJkpoxOSVJkiRJkqRmTE5JkiRJkiSpGZNTkiRJkiRJasZufZK0yAyxE90QY5IkSZI0DM6ckiRJkiRJUjMmpyRJkiRJktSMySlJkiRJkiQ1Y3JKkiRJkiRJzZickiRJkiRJUjMmpyRJkiRJktSMySlJkiRJkiQ1Y3JKkiRJkiRJzZickiRJkiRJUjPrtA5Akq7rNtn7Kwv+mmfv96gFf01JkiRJmg8mpyRdp5gIkiRJkqTFxWV9kiRJkiRJasbklCRJkiRJkpoxOSVJkiRJkqRmTE5JkiRJkiSpGZNTkiRJkiRJasZufZJmZHc8SZIkSdJ8cuaUJEmSJEmSmjE5JUmSJEmSpGZMTkmSJEmSJKkZk1OSJEmSJElqxuSUJEmSJEmSmrFbnzQgdsaTJEmSJC01zpySJEmSJElSMyanJEmSJEmS1IzJKUmSJEmSJDVjckqSJEmSJEnNLPrkVJKdk5yZ5Kwke7eOR5IkSZIkSSss6m59SdYG/ht4GHAu8OMkh1fV6W0jW5qG2IluiDFJkiRJkrSULPaZU9sBZ1XVL6rqr8CngMc1jkmSJEmSJEm9VFXrGOZNkicBO1fVc/v7zwDuXVX/PGW/PYE9+7t3Bs5c0ECH55bARa2DmGJoMQ0tHhheTEOLB4YX09DigeHFNLR4YHgxDS0eGF5MQ4sHhhfT0OKB4cU0tHhgeDENLR4YXkxDiweGF9PQ4oHhxTS0eGB4MQ0tHhhmTAvt9lW1bLoNi3pZH5BpxlbJxlXV/sD+8x/OdUOS5VW1Tes4xg0tpqHFA8OLaWjxwPBiGlo8MLyYhhYPDC+mocUDw4tpaPHA8GIaWjwwvJiGFg8ML6ahxQPDi2lo8cDwYhpaPDC8mIYWDwwvpqHFA8OMaUgW+7K+c4Hbjd3fCDivUSySJEmSJEmaYrEnp34MbJ5k0yTXB3YDDm8ckyRJkiRJknqLellfVV2Z5J+BbwBrAwdW1WmNw7ouGOISx6HFNLR4YHgxDS0eGF5MQ4sHhhfT0OKB4cU0tHhgeDENLR4YXkxDiweGF9PQ4oHhxTS0eGB4MQ0tHhheTEOLB4YX09DigeHFNLR4YJgxDcaiLoguSZIkSZKkYVvsy/okSZIkSZI0YCanJEmSJEmS1IzJKUmSJEmSJDVjckokWSvJk1vHMTK0eHTdlWTX2YwtpCRrt3x9aT4k2WE2YxoO32uvWf89um/rOK4LfG+77kpyo9YxDJG/09dsoMfZN2/5+lozFkQXAEmOqaoHtI5jZGjxDE2SLwGr/eOtqscuYDhXS7Ic+Ajwiaq6uEUMU+I5oarudU1jCxzTL4HPAh+pqtNbxTEWz2B+ZknuUlU/TTLtz6eqTljomEaSPBr4alX9vVUM45K8Afgu8P2q+tMA4hni39rb6f7OBtOlN8kRwK5V9cf+/gbAp6pqp0bxDOq9NkmApwF3qKo3JNkY+Ieq+lHDmI6rqvu0ev3p9AmzTRjrul1VH20WEJDkHODrwKeBo8oPGCtJckPgX4CNq+p5STYH7lxVX24Y032BDwM3rqqNk9wDeH5VvahRPDcCLq+qvye5E3AX4GtV9bdG8QzqeA0gyc+BH9C9/x/TOq6Bvvf/DDiJ7tj2a0P4X5TkUcBdgRuMxqrqDe0iGi6TUwIgyeuAy+kOKq7+oFNVfzCeq2N6AvAW4FZA+ktV1foNYnngTNur6uiFimVckjsCzwKeAoySHt9c6DeGJI8AHgk8me53aGR9YIuq2m4h4xmX5CbAbnTfp7WAA+k+nF7aKJ5B/Mz6WPavqj2TfHuazVVVD17omEaSfAy4D/A5ugPVM1rF0sfzbOB+fUyXseJA9bAFjuM+wH2BlwHvGtu0PrBLVd1jIeMZl+S5dL/b69D9Xn+yqi5pFU8f04lVdc9rGlvAeAb1XpvkA8DfgQdX1T/2ybtvVtW2LeLpY3o9cDLw+YF8yDkE2Izuw9dV/XBV1UubBQUkWQ94DN37272AL9O9tx3bIJYdgH2B29P9/Y+O1+6w0LGMxfRp4Hhg96rasv9+HVdVWzWM6YfAk4DDR/+DkpxaVVs2iud44P7ABnQJmOXAn6vqaY3iGdTxWh/TusC96b5PO9Al8H5SVbsscBxDPs4O8FDg2cB2dPEdVFX/2yieDwI3BHakSwY/CfhRVT2nRTxDZ3JKwNVnB6Zq9kY+tHgAkpwFPKb1h9LrgiRrAY8GRh80DgTevVAfePqzf/cEXg/8x9imy4Bvt54hNJLkAcAngZvRnZ17Y1Wd1SiWpj+zPoZdq+ozSe5QVb9YqNedrSTrA0+lO1AtViQ8LmsY0z/QHRz+K7BBVd1kgV//gcCDgBcAHxzbdBnwpar62ULGM50kd6b7mT0V+B7woaqaLgG6ELEcT5e0O6e/f3vgC63OMg/tvXZ0xn08YZfkJ42TnJcBN6JLBF1OwxNTfTxn0H34G+wBfJ9UfDfwtKpa8KVRSX4KvJwuGTRK4FFVv1/oWMZiWl5V2wzsd/uHVXXvocQ09vf/EmC9qnpry+T9lNgGcbyWZB1gW+CBdCeobgGcXFXPX+A47gFsBbyBYR9n7wh8jO5/+E+AvavquAWO4eSquvvY9Y3pTnY8fCHjuK5Y55p30VJQVZu2jmHc0OLp/W5oial+WvibgS1YeapoyyTe3ek+CD6SbpbJx+neQI+ieyObd1X1E+AnST5WVVcuxGvOVl/D4FF036NNgHfQfY/uD3wVuFODmJr/zHqvBj5Dd+DXbEr46lTVpUk+B6xHN1NoF+CVSd5TVe9dyFiSfJju7/53dLOmngQs+LLHqjo6ybHA3arq9Qv9+tek/3u7S3+5iO7g9BVJnl9VuzUI6bXAsUlGs1sfAOzZIA5gkO+1f+t/ZgWQZBldsryZhU74zsKpwD8A57cOZKo+Wf0U4BHAj+kS5y1cUlVfa/Taq/PXfrbU6Hd7M+AvbUPi1/3SvkpyfeClQMvj3PSzcZ8GjGaVNPusOsTjNeBS4BTgnXQnWpokXKvqJ0lOBR5eVQe3iGF1ktwCeDrwDLpjpJcAh9Mdz34GWOj3vcv76z8nuS3w+wYxXGeYnFrikjy4qo7ql6ytoqo+v9AxjSTZklWTLi1rKizvp2V/kbEDipbfI7qZG/vQLafZke4NNK2C6WcF/BE4gO7sxOj79MMsYHHkJKew4gBwle1VdfeFimUaPwO+Dbytqr4/Nv7Z/szcghrKz6z3+35J36ZJDp+6sRrVUgNI8li6v6/NgEOA7arqgr6OyBnAgian6M6Wrk33s/sDcFGrRGxVXZUBFiBN8k7gscCRwH/VirpFb0lyZouYqurr6WqqbU/3v/rlVXVRi1gAklwPeCFdkgzgO8D/VKMaL8B7gC8At0ryJrqk6783igVYqQ7WplX1xiS3A25T7epg3RI4PcmPWPlYpNn/R7h6Ft5JwKHAK6ttLbxvJ3kb8HlW/h41q1tId6z2deB2ST5OtyTrmQ3jgW7G67uBDYFzgW8CL24Yz150J6m+UFWnJbkD3fFSK4M6Xus9le7k4YuA5yb5Pt2S/iMXOpD+vf8WSa5fVX9d6NefwXF0x2mPr6pzx8aX90vsFtqXk9wMeBvdScSiW96nabisb4lL8vqq2ifJR6bZXFX17AUPCkiyD91SkS3ozk48Aji2qp7UIp4+pkF9j6BLLFTV1klOqaq79WPfrar7N4pnEMux+qUyq1VVv1qoWMb1Z+FeWwMqgjiUnxlAf+b2XnQHFc+dur0a1VIDSHIwcEBVHTPNtoe0ODDsX/sfgZ3olrCsXVUbNYrjHcDmdGclx2sXtTzB8Wy6+iB/nmbbTWsB609loMX++xl41wNGZ76fAVxVVav8/S1ALGvRJe3+ADyELnl3ZOsZyxlYHayspuZky/+P0C17mvr/MckOVfW9BrEMrm4hXD2jY5SY/kHLxPQQDex4ZHDHa+OS3IXus9HLgFtV1XqN4vgfuuO2w1n5vf+dLeLpY8pQlz2nqxl2g4U8/riuMTmlQepnvtwDOLGq7pHk1sCHq+oxjeJZG9ivql7Z4vVXJ8n36KYXf5ZuCdZv6OK8c6N41gWeyKpdhAb55t5Ckm9X1Y6t4xhJshfdDLzL6M7k3JNuBtU3G8a0rKounGH7e6vqJQsYz9rAN6rqoQv1mtckXffA+9PNeNmA7kzhd6vqwEbxDCZ5v7oE0EiLRFAGWux/uvoyjWvODLEz3hDrYN2aru4MdIV1L2gVy0gG2LVraPol9Juw8vFRywT+wcBetXL30Hc0PDF9DN0srh8Dx9C9p53SIpY+nkEdrwH0pQW2As4CjqX7Pv2wqq5oFM8+0423WOaf4XYyHy0P3YSV//abJfCGzGV9ArqzyHRTjkfTVI8G3tAws3tFda1kr0xXhPgCoFkdpX7q6hAPsF5G1wHipcAb6Zb27dEwnsOAS+iKkLaupTAqZDt6o7o+3QyBP1WjQra97yd5H6t2x2q13ODZVfXuJDsBy+iWrn2Ebnp/EzMlpnoLutyw//v/80LPtrkGj6A7KH13VZ3XOpiqelbrGMa8Y4ZtBSx4Iqiq9uyvB/VBB7gqyWZV9XPoZi4wVkC6gW8meSID6YzXG1QdrCRPplse8h26GTjvTfLKqvpso3hGHTuXJXnF2Kb16ZYet4hpaMe0JDkQuDtwGit+f4pu6WErdx8lpgCq6uIkzYqPV9UD+hnU29KtnvhKkhtXVatl40M7XgPYDzihqlr+n77aKAmVrrNhVdX/NQzn7f31E+jq8n2sv/9U4OwWAfW+BFxBVyusaQ3F6wKTUxo5kK7I5qh45TPoPqBOW4tqAfy4X5/7IbpEx/8Breo7jJzU18EZzLKVqvpxf/P/6JIKrW1UVTu3DmKkphSyTfJ4urayLd23vx6fTdbkA3NvVJTrkcBHqity2axu2YBdAZyS5AhW/vtv0r69ql48mj3RJ86bzp5IshFd3a0d6H6fj6U7I3/ujA+cBwNMAF0tya7A16vqsiT/Trcc4o1VdWKjkP6Vrj7PL+j+F9yetu8lr6DrqnRlkito3BmvN7Q6WK8Fth39vffJsm/RzaBu4frAjek+U4y/515K971qYWjHtADbV9UWDV9/Omsl2aD6zmrpage2LEB+P7oZwfen64r3ZbqGH60M7XgNurpuLx6reXU08MFqVCcwXX3gQ4Cb9/cvAnavqtMWOpbR0uYkb6yq8ZpgX+pn5bWyUbWtdXudYnJKI5tV1RPH7r8+yUmtgqE7wNmV7szg14H1q+rkhvFA94/396z8ptT0rFf/QXnXKVOyP1VVOzUK6ftJ7tZyGvZMquqLSfZuHMPQPjgfn+SbdJ1DXt2f/fLMzqq+0l8GoU9yvJ2BzJ6g++D3Cbr/29B1yvkI8LCFDiQDbvQBvK6qPtN/CNuJ7mf4QeDeCx1IPxvoHnS1wu5M93v001rRFGHBTT2hMARV9fF0jSNGdbAe37gO1lpTEtG/B9ZqFUz/gfDoJAfVDPUcF3g59tCOaQGOS7JFVZ3eOI5x76A7bhu9b+wKvKlhPEcDy+m6UH+1GhfZHuDxGsAH6FYBvL+//4x+bMHrBPb2B15RVd8GSPIguokF953hMfNt2Xj9siSb0q0MaOVrSR7eslzGdYnJKY1cnuR+VXUsdEUsWdH6soWP0HWjeC/dcr6TkhxTVe9uFdDAlq2M3HKaKdm3WuggsqI73jrAs/qz8H9hxVnvJmcMpnw4XQvYhhnWoy+EAS43eA5d/YJfVNWf+4KtQ/xdH7fgM7uq6uB0bcA3rqomnd6m+HeGNXtiWVWN1506KMnLGsXyQLoafNPVKGy9jGa0FONRwAeq6rAk+7YIpF+u+tiqehfQ+uQP0BXVnm68pmlEsACxjC8lugD45Pi2qvrDQsfU+3qSb4zF8xS6xjFNzZSY6i3kcuyhHdNC13TguCS/ZQDHR3Qv/tE+8bpjH88TGifPbkH3e/IA4KVJ/g4cV1WvaxVQkkcBd2XlzuEt66huO6Xe3VFJftIsGrjRKDEFUFXfSXKjhvFA1yDmO/1nEehqPT2/XTj8APhCuqYff2MYM4IHy+SURl4AfLT/4By6bjnPbBVMf9b7aLp15zv28d2VruVtE0nuRHd24tZVtWVf2PKxVfWfrWIC/p5k46o6p4/x9rRJvjy6wWvOxviH0yvp1pw/rk0oVxvUcoO+ttsvgTslucE1PmAYFvz/QJLH0M1yuT6waZKt6JKKrdq3D2r2BHBRkqez4gPzU+liWnBVtU9/PcQk62/SdTd6KPCWdE0kWv7chlZTZbzpyA3olmEfT5tlNMfTvZ+OJ8NH94tGdTCr6pV9Xa4d+lj2r6ovtIhlwF4IHDyUY9regXTv90OrO/NT4GL6z4Tjx5QLrar+2CcUbgdsRDf75notYgFI8kG6uq470jWMeRLtS4wMrU7gL5K8jm5pH3Szpn/ZMB6q6utJNgfu0g81nRFMN0PxPsApA6qlOFh269NK0hUfp6oubRzHkXR1J46jW29+bMt6Kn1MR9MdOP9PrejYc2pVbdkwpp3pptSOWkg/ANizqr7RMKZ70c16K+B7jQtHDk6Sk6pqq2saW8B4ngvsRXcgeBJdm+vjqkH3sCT/r6peltV0XGmYCKI/u/xg4Dtjf/+nVNXdGsXzNrriuuOzJ06uqlc1imdj4H10B2AA36OrOXVNsynmM6abAbuzaoecJnXCAJLcENiZ7iD1Z0luA9yt1XT/DKx74FRJbge8taqe2joWrZk06Nw3lGPaPpajhvJ3NZLkJXQzuX9Hl+BoPdv958CZdDULv0vXha7Z0r4kJ1fV3ceub0zXrOHhDWN6CN0JzZXqBI7PXlrgeDYAXk933B+6Ri37juqYNYrphnT1C29fVc/rE1V3rqovN4rnG8AjqmpISenBcuaUAOjP3j6R/iA+fT3khlNXTwa2Brak6/72x3QtpltOy75hVf0oK9eKvrJVMHD12YF70SUUAry8qi5qFU+S/6CrWTBaNvORJJ9Z6NllSd7LzO1km304ZXjLDfaim6H4g6raMcld6A40WhideXv7jHu1cWVVXTLl77/Z2Z2hzZ7oz7Q3Sx6uxlfpptMPaabCLelqqowSetDNXFhwfc2pw/tlfUN1Lt1xwILLNXToXegTL0mOrar7ZeUutHDdWSIy78uxkzy9qj6WlbsGMnZM27J1+0+TfIKuc9fVszga18Dbi+5De5NZrtPYfGAf4EfHZn9Oclu62cCbNoyHqjpylGxhGHUCL6brGD4kH6Gb+To6WXYuXTOrJskp4Hy6ZYZfY+W//Zb/jwbL5JRGDqNLAh3P2B9OK1X1coD+LMWotf0/AOs2DOuiJJuxop30k+j+4Sy4JHepqp+OHTyPWslv3E/JbjVb6anAPavqCoAk+wEnAAu99HF5f70DsAXdkhXoEmfHL3AsU40voYVuOv0eDeO5oqquSEKSdfvfqzu3CKSqRj+b5cDlo4PU/kN0y799gFOT/BOwdn9g+FLg+y0DqqrPAZ9rGcNIv7Tg3XSJ8qKb9fryUUHSRm5QVa+45t0W1FdYsTTsBnQfdM6kW7a+oEY1p4DBJKemnFhYi64eXqt6Ku+YYduCd+yqqvv114MrGg9d166qOnWGXRZiOfao1s1036PWS0XWozu+Hp9107oG3q/pjv2H4o5JhlQ+48v9DNy30R3LFt3yvta2ZsWM4Hskoao+2iKQvuTJv7LqDOWWswQ3q6qnJHlqH8vlSdMu1L/sL9fvL5qBy/oEtF+eNlWSf6ZrJbs18Cu6aaLfraqjGsZ0B7oldPelSyj8Enhai2UrSfavqj2HtiSjPyvw1FrRPfBmwMeqqklNqv778/DqW+wmuR7wzWrYgSXJplX1y/HlBqOxRvF8gS4B/DK6D1sXA9erqke2iKeP6QfAQ6vq//r7N6b7uTXr/tJPE38tKz5YfAN4Y6szlumK/b8FuBVdoqPp7In+Z/bfrFhmuBvwkqpa8C50YzG9HPg/urOl42crWxWyXkV/guH5VdWkWGuSNwE3ZSA1p5KMJ+qvBM6uqu+1iGWokhxSVc+4prGFluRYug9eBwGfqLFmLQ1i2WHq7810Y0tdkgPoZuB8hQHM6Bha+Yz+hN1fRrfpTihc0XKmUpJDgM3oyjCMak1VqxUB6Yqxf5DuxO/Vta/GTja2iOn7dN1Vv1dV9+onFnyyqrZrFZNmz5lTGvl+krtV1SmtA+mtB7wTOL6qmi6dG1NV9dB0XSjWqqrL0rUnbRHInv310Nrc/gU4LckRdGeYHgYcm+Q90GQ53W3pzqCOPozeuB9r6XPAvabUwPgsXSJ2wVXVLv3Nfftk3k2Br7WIZcwNRokpgKr6vz451NKjquq1dAkqAJLsSjdVvIW3Ao+pti3tx6WqDhm7/7H+JENLf6U74/1aVsyaaFbIejpVdUKSbRuGMEr4ji/hX/BZQWNuVlO68ibZa+rYQkjy4Oqas0zbrKLhcqyVZtklWYdG7x/j+iWHmwPPBpYn+RHwkao6okE47wWmLsucbmzeJfm3qnrr6soNNC4zcE5/GcqMjqGVzziO/nemT0j9JckJNPg9GrMNsEUNZ3bJlVX1gdZBTLEP8HXgdkk+TreK4pmtgknXTfnfWLXr46Bq0A2FySmN3A94ZrquXc1b3FbV21q87jUYJRX+NDbWLKkAV384/nqfKPt3ujfMN1bViY1C+kJ/GflOozhG9gNOHJth9kBg3xaB9LWc7grcdMqHnfUZe7NaaONn3Kvq6NEYXVehVv6U5F6j2RtJtqF9G/BXs2oiarqxhfK7ASWmAL6dZG/gU3QfwJ4CfCXJzaHZbKVXAHdsWYdvqim1cNaie/+4sFE4QzzBsQerLv965jRjC+GBwFGs3PV1ZMGXYyV5NfAaYL0ko5MboUvC7r+QsaxOdUX+/51uafZ7gHv2y2lesxDJvCT3oUu4Lpvyt7Y+sPZ8v/5qjP5PL59xrwaqqlV9ydUZRPmMJP8AbEj3t3ZPVtRLW5+ue19Lp9KVOWlSVmRk9N4OfCnJi+iO/QcxQ7mqjuiTiKN6vHs1Pg74ON3s5EfTlfbYg4bv+0Nnckojj5hpY5INqmHnhZaGmlTova6qPpPkfsBOdIWkPwg0WUpTVQe3eN3VqaqPpOuS8Qy6A8Svs6I+10K7M90b081Y+cPOZcDzWgTUm3oWfm3an4XfC/hMkvPoDlJvS5fsWHBJHgE8EthwNAOwtz4NzuiO/Q9anuTTwBcZRnHd0c/n+ayYHRC6WRStZiudBvy5wevO5Cas+P5cSVccuVndsL723T50nV6h6/z6hqpa0Do0fW2QfwI2TXL42Kab0BUhXnBVtU+StYCvVdWhLWKYEs+bgTcneXNVvbp1PFP19YGeBTwKOIJuZucJ6QpJH8fCJPOuTzdDeh1Wrjt1KfCkBXj9VVTVl/r31S2r6pUtYlidAc7oeDFdovUuSX5DXz6jQRw70SXFN6JbxTFyGV2CeMFlRRfjmwCn9zMTx9/7F7ohyfGsqJ8I3XLM8dlcrWcob0iXkF4HeEBfl6vV8dEtquqAfhbw0cDR/RJWTcPklACYRd2kI2k7jbWloSYVYMX67kcBH6iqw5Ls2yqYfkr/m+mKkI8f6DR5k0ryXLpEx0Z06/O3pztIXvADr6o6DDgsyX2q6riFfv2pBn4WflPgnsDGwC6sKLLdwnl0Z7wfy8rF9C8DXt4gnvH/QX9mOMV1X0U3i/PSJK9jxSzOVs0ZoPv/eFI/c3L8IL7lMpqv0v3dbcKKY7C9gSazlIED6c7EP7m//wy6BiTTLmWbR9+nmwlwS1YuRH4ZXffeJqrq7/3y1ObJqZGqenW69u2bs/L77DHtogLgfcCH6GZJXT3TtarO62dTzbuxD34HtagHujrVNR9ofdJnOkOb0fEbuv8/3wZuTpdU3IOVlx3Pu/5E68FJnlhd45EhGFQX46raFCDJk5nmvb9lbEkOpHtPPY0VnXpbHh/9rb8+P8mj6I4rN2oUy+BZEF2zkuTEUXHCpWooSYVxSb5M92b+ULrZLpcDP6qqezSK51i6s/DvovsQ/Sy6/zP7NIrnFGBb4AdVtVU/C+71VdVkFk4f01vpuhdeTjeT6x7Ay6rqY43iGdxZ+CQnV9Xd+xmB/0X3YfU1jYtrX69WFNbfALhdVTX70Dw0A/2ZTdsFs+UMzyRn0nU2OpUVB82zOUE0X/GcVFVbXdPYUtZ/4LqcVYvGN1m2srqTLq3rlyR5WVX9vyljreqFHQHsWiuas2wAfKqqdlroWMZiegddQvEzrPx71KxbX5Ljq2rr0f/vfuzoqnpgo3i+DvyRrjPeeHHtmTpnzmc86wJPZNVOdAuaLJsS043ouxmn65R3F7rZnX+7hofOVzxDfO8/vaq2aPX6UyV5NPBd4HZ0te/Wp/sscviMD1yi1modgK4zzGLCLknWT3K9JEcmuSjJ0xvH9GS6rmE79wdhN6ebWtvKelV1JF1C6ldVtS/tCutC11XlCri668pP6WbCtfTwvhj6o4FzgTvR8GfWn4XfMMl9kzxgdGkVT298RuAH+1lnrYu1HtH//d+crrX9R5I06WgEXZJzYP+PBvczq6qDp7u0jAm4sKq+VFW/7P9H/qrxDI/L+w8VQNfRjIb13ZI8IcnPklyS5NIkl43N7Gzl2XTLjY6hmz15PG3rB+1Fd9LlV33NsHsyjPolu08z9syFDqJ3yxrrFtiXpbhVo1hGbk63RPXBdCfvHkN3HNDSSjM6+vpKLWd0bFRVu1XVW6vqHaNLw3gOAx5HtwT7T2OXlo4BbpBkQ7pVLc+i65DZyuDe+4HjkgwiOdUv6d28qi6pqlOraseq2trE1Oq5rE+avYdX1b8l2YUuqbAr3dTjJjNeerekP0hOsnE/9tN24XBFX6PjZ/1SiN/Q9oDw3CQ3o6vLc0SSi2lXc2rkev31I+la2/4hK3emWVBJ9gN2A05nrC0x3QFQK79J8j90MwLf0p+9bH0y5ab9tPXn0nWg2idJy5lTQ/t/NLif2dCWGff2SfJhug8VQ6gV9kK65Ss37e9fTLeMppWhdaG8evnKgFxRVVckufqkS5JmJ10ywHphwN+TbFxV5wAk2YT2J1nXoivM/Ee4ejZXy8QLwH/2f/v/wooZHS2Wq48MrXP4RlW1c+sgpkhV/TnJc4D3VtcJ8qSG8QzuvR84mC5B9VsaN/nql/Q+lm5FiWbB5JRmq92n5+EYVFKh9xVWFCS8AV2tnjOZUuR6Ab2MrpPJS+nWnO9Iww86VbVLf3Pfvu7MTemW0rX0pSQ/pZud8KJ0BUmvaBjPLsCdq2uTPBRPBnYG3l5Vf0xyG9rOCARYp4/jycBrG8cCw/t/NMSf2UdYscx4R/plxk0j6mK4C93Pbwi1MM6gSwhtRldX8RLg8bSr8zS0LpQAJLkvqy7t+WijcIZ20mWI9cJeCxybFUWHHwDs2SiWkbtPnc3Vz1Rqpqq+3N+8hO5/ZGuD6hzO8JJlAEnXlfJpwHP6sVadKGGY7/0H0tVPPIWx5fMNfT/J+1h1aXjLmpyDZc0pXW1UR4WVD75Grdxv3qq+wlD0M0weT5dU2I7uQP7LLddVT5XkXsDzq+r5DV57bWC/Glg3miHq/9Yu7c+o3BBYv6p+2yiWr9HV5vi/Fq9/XZFkV+B1wLFV9aIkdwDeVlVPbBTP4P8ftTZWT+WUqrpbP/bdqrp/w5iujmUIBljj5d10bdK/yDBmlpHkELrk3UmMzS6ttoX1AUjyQPqTLlX119bxDEmSW9ElpE6iO3l3QTUsGp/kJ8CD+iWG9EvEj275/yDJpsBLWDXxutCd30bx3H668YY1+U4H7kjXNXAIyTL6sgv/Cnyvqt7SH4u8bAj/j4YiyVGta/CN60+Ow8qdjGtIMQ6JySkBkOSNdLUBfs6KPx7/cKaYklS4EXCTVkmF1UlyQlU16ayY5CjgIeU/llUkeXBVHZVk2i5YrT58JfkcXVH2qcuMPNAZM8QE/Uz/j5I8rKqOaBthW0m+B9wf+CxwFN0y4/2qquUSqA8B76qq01vFMC7JqVW1Zes4RpJ8ZJrhqqpnL3gwvSRnAFsM6X1tppOJDWI5tqrul+QyVl46N/oAtn6DmAZXND7J7sCr6f4fFd2MkzdV1SENY/oJcABTZphU1/VwyRtasmw2kry3ql7SOo6Wkryf7oTdl2h4kiPJK0Y3WbHKZSycala3dMhc1qeRJwObeeZt9foZLi+ma2+/J3BbuuLaX57pcfMc0yvG7q5F17GvZWHUE4HDkgymG82APJDuA/Jj+vsrnUGh3bKew/uLZvbDvq7DR+g64zT/oDo6A9/fnlqo9S3AkkxOJTmkqp5BV8x2fJnxg2lbTwm6ZSt7uGxlelX1rNYxTONUutlc57cOBFY6mfgLVl4a2iTxUlX3669v0uL1V2NUNP4HVbVj+k69LQOqqo8mWU73cwrwhAEkqa+oqvc0jmGwqupX6RpGbF5VH+nLMNy4dVzXYIfWAQzAenTvrw8fG2txnD36n3hnuv9Hh9H97T+GtnVdB82ZUwKunj3xwqq6oHUsQ5Xk03Rdenavqi2TrEd3Jm6rhjHtw4okx5XA2cDnWtUPGuJZ76FJcgNWbU1c1bA1sa5ZuoJOD6Xr3LUdXe2Ag6rqf5sGthpJTqyqpvVMWumXYjyCLun6IKbUmWo5A24oZ+KTnEL33rEOXXv7XzCAZFm61ugfAG7dv8/eHXhsVf1ng1i+RPc9ugmwFfAjVj4L32rp05nA3YZyMrFfnrZaLf7ekvy4qrbtTyjcu6r+kuSklsdrQ5Tkn+j+/r/Jyr/b1sLh6mPsbejqct4pyW2Bz1TVYBNALVdPaHpJvgk8saou6+/fhO73aGjF9gfBmVMaeTNwYpJTGcDB10BtVlVPSdeZhqq6PO0ron8VeA0rJzr2Bpp8sBjoWe+h+SIraryMCqE3O0uQYXY0G5x+ptQRdAWId6TriveiflnE3lV1XNMAV7WUzzx9kK7xwR3oTiiMT6mvfryJAS0Had3CfnU+RFdM938AqurkJJ8AFjw5Bbyd7nfmLXT13UZGY62cSrdkZSgnE49n1SUrI63+3oZWNH6o7kZXOPrBDGAW3gDtAtyT7niNqjqvTyxowJJsRNd9cge63+dj6TplntsopI2B8ZMJf6X73KZpmJzSyMF0B1tD6WwwRH/tZ0sVQJLNGEvkNfIxusKIpzKAn1uS6aaHXwIsr6rDFjqegRpaa+IhdjQbnCS3AJ4O7A78lq6I7OF0Myo+Q9cpUwPQL1N5T5IPVNULW8czRANKkk11w6r60ZTzPle2CGRUdyfJ9abW4OmPBVoZ1MnEqhrc/74aZqfeIdoFuMNQZuEN0F+rqpKMjvtv1DqgWfD4rTuu/QSwa3//6f3YwxrFcwjwoyRfoPsMuQvd525Nw+SURi5y3fk12ofu4OZ2ST5Ol5F/ZtOI4MKq+lLjGMbdgK5N+mf6+08ETgOek2THqnpZq8AGZFA1XoD1qurIJOk/sO6b5Lt0v+9a4Ti6A4zHVtVvxsaXJ/lgo5hmcnbrAFozMXWddFF/4mf0YfBJNKr1lOSFwIuAOyQ5eWzTTYDvtYipN9iTiX2h9s1ZeRZu09oqFvee0U8Y1iy8oTk0yf8AN0vyPLpl/R9qGVCSTarq7Clj21bVj/u77174qAZnWVWNlxk5KMnLWgVTVW9K1xl71Cn4WVV1Yqt4hs6aUwIgyTvpzsAdjuvOp9W3kz6FrnX7L4AfVtVFjWN6CPBUVu201qrz21HAw6vqyv7+OnS1DB4GnFJVW7SIawgGXONlcB3NhijJtnRLaG/Pyh2yWv3cbgj8C7BxVT2vX55556pq1qBBWlN9W/T9gfsCF9O1cH9ai5leSW4KbEA3U2nvsU2XNa5bdnRVPbDV66/OEDvkaWZJvkNXBuLHDGAW3hAleRhdYe0A36jGXXCTnAA8ZnSSLMkDgfdV1d1axjUkSb4FHAR8sh96Kl1C6CHNgtKsmZwSAP2056nKg4oVkjyYrtPS/elqKJwEHFNVzc5SJPkY3Uyl0xirF9CqAHlfqHW7qrqkv39TuiTeXZZygWZYfSHkkQYFkQ+pqmck+Tdg1Hb3jXTLH95aVT9YyHiGrv/dXmUJbavlUUNs0CCtqSRrV9VV/fKZtUYFZLXCUE8m9idgRh3ythp1yKuqp7SMS6vXJzZW4WyzlSVZn5VPSrVMTm9Ld8z2GOBewH/RJat+3SqmoUmyMfA+4D50J4W/D7y0qs5pGphmxWV9AqCqdmwdw9BV1VFJjqY7+NoReAFwV9pOob3HwM6WvBU4qT8bF+ABwH/1HzS+1TKw1gZY42XrPmH2NLpp6n+mm4mj6Q1tCe0QGzRIa+qXSb5O1w3zqNbBDNToJM/2Y2NDKGJ9RVVdkYQk61bVT5M4A3fAquroJLemO64F+JFdu1dI8nzgDXQrJv7OMJpq/DjJS+lWJVwBPKyqLmwVz0C9Edijqi6GqzuKvp1uWaYGzuTUEpfkFTNtr6p3LlQsQ5fkSOBGdLVnvgtsO4A38R8k2aKqTm8cBwBVdUCSrwLb0b2Jv6aqRh1yXtkuMk1jsB3NBmqfJB9mIEtoGWaDBmlN3ZluRsCLgQOSfBn4VFUd2zas4RjwyUQ75F3HJHky8DbgO3Tv/e9N8sqq+mzTwIbjX4G7ti7hAZDkS6zchfeGdA2HDkjiUsyV3X2UmIJupluSJbty47rG5JRsiTp7JwNbA1vSvSH8MclxVXV5w5juB+yR5JcMoH5Rb1tWFP27Cg9OB8mOZhN7Ft0S2uuxcsvtVsmpITZokNZI/356KF0h4g3oZiYfDazdNLABSPL0qvrY6k4qtj6ZaIe866TXMnaiNckyulnuJqc6P6ebVT4Eb28dwHXIWkk2mDJzypzHdYQ/qCWuql7fOobriqp6OUCSG9N9UP0I8A/Aug3D2rnha68iyX50yamP90MvTXLfqnp1w7A0AxNTszaoJbRVdURfGHV7uqT0XkM4uyutqb4OzlOAR9AVan5y24gGY9TGfrAnFZPcD9i8qj7SJzo2pCtqr2Faa8oKgN8Da7UKZoBeTddh+YesPGP6pQsdiHXAJvIOup/bZ+lOIj4ZeFPbkDRbFkRf4pL8W1W9Ncl7WXm6KNDmH/BQJflnuhlBWwO/Ao4BvltV1sXo9e22t6qqv/f31wZObDyTS1pjST4EvGsoS2gBktwd2ISVC7W2msklrbF+FvBJdLOnDq+qP7WNSLOVZB9gG7quoXdKclvgM1W1Q+PQNI2+RuEBdAnEUVezpwAnV9WrmgU2IEl+BBxL16l7vBHKwQ1iuYxpPqexYsXE+gsc0qAl2YKuDl+AI4d07KaZOXNKr6IrYv1zurbNWr31gHcCx1fVla2DGbCbAaNOJjdtGIc0lwa1hDbJgXQtwFfq1Em7ZYbSXLhHVV3aOogh62ckPY9VE9Oti/3uQles/QSAqjovyWBneS11VVVJtgL+k+79LcD+VfWFpoENy5VVNWNt3oVSVf4tTaBPRpmQug4yOaXf9R27nkXXgU6rUVVvax3DdcCbgRP7ehOjbn0u6dNiMKgltMD2VbVF6yCkuTA+e3u6ppPO4l7JYXRNWb5FV9dxKP7aJzxGP8cbXdMD1NxxwK+HkoAZoG8n2RP4Eisv6/vD6h+yMJLcCrjB6H5VndMwHGnOuKxviUvyEuBFdJ25fjO+ie7Eih27NJEkt6GrOxXgh1X128YhSYtOkgOAdzhVXYtBkj36mzsAWwCf7u/vSjdb+eVNAhugJCdV1Vat4xjXLxF7Hd0SsYfRnah6NvCJqnpvy9i0eklOB+5EV6ri6iW0lmLo9DOlp2r62SjJY+lqKt0WuAC4PXBGVd21VUzSXDI5JQDs2KU1keQuVfXTJPeabntVnbDQMUmLWZIH0J3N/S0DWGYozYV+1u3Dq+pv/f3rAd+sKmd295L8J/D9qvpq61jG9Q0aXgU8nO7/0Teq6oi2UWkm/cqJVVTVrxY6Fs1Okp/Q1VL6VlXdM8mOwFOras/GoUlzwuSUpDWWZP+q2rP/YDH+T2X0gfnBjUKTFqUkZwGvYNVCrX6o0HVWkjOB+4yWzSTZAPhBVd25bWTD0RdGvhFdUvpvDKQgcpL/Bg6qqh+3jEOaK0l2n268qj660LGMJFleVdv0Sap7VtXfk/yoqrZrFZM0l6w5JWmNjZ2xeSTdMtH70SWpvgt8oFVc0iJ2TlUd3joIaY7tx4q6hQAPBPZtF87wVNVNktwc2JyxmjMDsCPw/CQuEdNise3Y7RsAD6Er+N8sOQX8McmN6TqGfzzJBXRJamlRcOaUpDmT5FDgUuDj/dBTgZtV1ZPbRSUtPkneT9cZc2qhVrv16TotyW2BZwBnADcEzquqY9pGNRxJngvsBWwEnARsT7fM7yGN43KJmBa1JDcFDqmqxzaM4R3AK4G1gKfRdcW+R1U9p1VM0lxy5pSkuXTnqrrH2P1v91OPJc2t9eiSUg8fGyvA5JSus1aTeDmOrsaKOnvRzej4QVXtmOQuwOsbx2QSSkvBn+lmLLa0Y1X9nW45/8EASU5uG5I0d0xOSZpLJybZvqp+AJDk3sD3GsckLTpV9azWMUjzYJCJl4G5oqquSEKSdftmJNbkkuZYki+xoo7qWnSdRA9tFMsL6cpmbDYlGXUTPM7WImJyStIaS3IK3Rv49YDdk5zT3789YKt7aY4luQHwHOCujNWdqapnNwtKWnMmXq7ZuUluBnwROCLJxcB5TSOSFqe3j92+EvhVVZ3bKJZPAF8D3gzsPTZ+2aiBhLQYmJySNBce3ToAaYk5BPgpsBPwBrraE2c0jUhacyZerkFV7dLf3LcvHH9T4OsNQ5IWq3OA86vqCoAk6yXZpKrOXuhAquoS4BK6Wq7SomVBdEmSrmOSnFhV90xyclXdPcn1gG9UlbV5tCgkeSB94qWq/to6HklLS5LlwH1H/3+SXB/4XlVtO/MjJV1bzpySJOm6Z9Q6+o9JtgR+C2zSLhxpblXV0a1jkLSkrTOeGK+qv/YJKknzZK3WAUiSpIntn2QD4N+Bw+lqu72lbUiSJC0aFyZ57OhOkscBFzWMR1r0XNYnSdJ1TJJ/YUUXofTXfwSOr6qTWsQkSdJikWQz4OPAhv3Qr4FnVNXP20UlLW4mpyRJuo5J8glgG+BL/dCjgB8DdwE+U1VvbRWbJEmLRZIb031mvqx1LNJiZ3JKkqTrmCTfAJ5YVf/X378x8FlgF7rZU1u0jE+SpOuyJDcF9gEe0A8dDbyh75wnaR5Yc0qSpOuejYHxDmZ/A25fVZcDf2kTkiRJi8aBwGXAk/vLpcBHmkYkLXJ265Mk6brnE8APkhzW338M8MkkN6Irji5Jkq69zarqiWP3X5/kpFbBSEuBy/okSboOSrI1cD+6gujHVtXyxiFJkrQoJDkOeGVVHdvf3wF4e1Xdp21k0uJlckqSJEmSpF6SewAfBW7aD10M7FFVJ7eLSlrcTE5JkiRJkpa8JK8YvwvcqL/9J6Cq6p0LH5W0NFhzSpIkSZIkuEl/fWdgW+AwuiTV04FjWgUlLQXOnJIkSZIkqZfkm8ATq+qy/v5NgM9U1c5tI5MWr7VaByBJkiRJ0oBsDPx17P5fgU3ahCItDS7rkyRJkiRphUOAHyX5AlDALsDBbUOSFjeX9UmSJEmSNCbJvYD793ePqaoTW8YjLXYmpyRJkiRJktSMNackSZIkSZLUjMkpSZIkSZIkNWNySpIkSZIkSc2YnJIkSUtaks8muSrJ/Vaz/X799s8udGyTSHKvJG9PckKSi/vLj5O8KMn1VvOYeyf5VpLLklya5OtJtlrT507ysCQf7Pe5IkkledCcf9GSJGlRsCC6JEla0pIsA04FLgPuUVV/Gtt2Q+AnwPrAXavqojZRXrMknwIeCnwROB5YG3g0sBPwTWDnGjvwS7I98B3gN8D7+uF/Bm4F3LeqTlmD5z4I+Ce672uArYAdq+o7c/glS5KkRcLklCRJWvKSPB74AvD+qnrx2Ph76RI2u1TVFxcolusBa1fVFRM+bgfg+KmPS/Ix4GnAY6rqy2PjPwLuAvxjVf2mH9sQOAP4QVU9fA2ee0Pgoqr6S5J/Bd6GySlJkrQaLuuTJElLXp94OgR4YZKHAvTL0F4MfLSqvphk8ySHJDk/yV+TnJ3kbUluNP5cSe6S5P1JTuuXy/05yfFJnjf1dZPs2y95u2uSdyY5F7gC2L7fvlmSu8zya/jeahJan+6vtxx73TsC2wKfGSWm+uf4DfAZ4KFJ/uHaPPfoearqL7OJW5IkaZ3WAUiSJA3ES4EdgQOT3Ac4kG7J20uTbA0cBfwR+J9+/B79Y3ZI8sCq+lv/PA8CHgB8GfglcCNgV2D/JLesqjdP89ofBy4H3gEUcH4/fiRwe7qlcdfWRv3178bGtu2vj5tm/x8Azwa2Br5yLZ5bkiRpIianJEmSgKr6Y5LnAN8ATgJuCexUVZckOZAuYbRtVV02ekySI4HP0y1tO6gfPqSqPjj+3EneRZfc2jvJ28cSWSN/BB5aVVfO5deU5MbAK4FLgMPGNt22v/7NKg9aMbbhtXxuSZKkibisT5IkqVdV3wT2p0tM7V9V30xyN+DuwCeAdZPccnQBjgX+BDx87DnGC6rfIMktgJvTFQ5fn67O01T/b7rEVFVtUlXXatZUkrWBjwGbAi+sqj+Mbb5hfz3d0rsrpuwz6XNLkiRNxOSUJEnSyo6bcv2P/fXrgQunXC6gW7Z369GDk9w4yduTnEO3VO+ift839btsMM1r/u9cfgFJ1qJblvg44LVV9ckpu/y5v153moffYMo+kz63JEnSRFzWJ0mSNLPRzKV3AF9fzT4Xj93+BPBouhlYxwB/AK4EHgm8nOlPDk6bCLo2kgT4MLA78Pqq+q9pdjuvv55u6d5obJUlf7N8bkmSpImYnJIkSZrZz/rrq6rqWzPtmORmdImpQ6rqBVO2PXR+wlvpNUbJo2cB/1lV+65m1x/31/fp9x+3PV1R9uOv5XNLkiRNxGV9kiRJMzsROBV4QZI7TN2YZJ0kN+/vXjUanrLPbYDnTvrCSTZLMl2Nqun2DfAhuk57/1VVr1vdvlV1FrAc2DXJqDg6/e1dgaOq6rfX5rklSZIm5cwpSZKkGVRVJXkGXbe9k/vOfafRFQy/I/AE4NXAQVV1WZJvAk9PcjndDKXbA88HfgncYsKXP7J//GyKor8NeA7wE+CMJE+fsv3nVXXc2P29gG8D303y3n7sJXQnL/9lTZ47yd2Bx/Z3d+ivn5Hkfv3t91bVJbP4miRJ0hJgckqSJOkaVNVJSe5Jl4R6LPAC4DLgbOAguiTSyNOB/YDHAHvQLQt8LfA34CPzGOY2/fU9gEOm2X4wK4q8U1XfT/Ig4D/7SwHfB3atqp+syXMD9wLeOGWfZ4/d/hhgckqSJAGQqmodgyRJkiRJkpYoa05JkiRJkiSpGZNTkiRJkiRJasbklCRJkiRJkpoxOSVJkiRJkqRmTE5JkiRJkiSpGZNTkiRJkiRJasbklCRJkiRJkpoxOSVJkiRJkqRmTE5JkiRJkiSpGZNTkiRJkiRJaub/AwSWNvFNccoxAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "movie_types = np.array(grouped_genres.columns)\n",
    "num_movies = np.array(grouped_genres.loc['2021',:])\n",
    "sorted_indexes = np.argsort(num_movies)\n",
    "\n",
    "plt.figure(figsize=(20, 10))\n",
    "plt.bar(x = movie_types[sorted_indexes], height = num_movies[sorted_indexes])\n",
    "plt.ylabel('Number of movies produced', rotation = 'vertical', size = 18)\n",
    "plt.xlabel('Year: 2021', size = 18)\n",
    "\n",
    "plt.xticks(fontsize=10,rotation='vertical')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = grouped_genres.columns\n",
    "y2000 = grouped_genres.loc['2000',:]\n",
    "y2020 = grouped_genres.loc['2020',:]\n",
    "ind = np.arange(28)\n",
    "width = 0.4\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "rects1 = ax.bar(ind, y2000, width, color='royalblue')\n",
    "\n",
    "\n",
    "rects2 = ax.bar(ind+width, y2020, width, color='seagreen')\n",
    "\n",
    "fig.set_size_inches(15, 10)\n",
    "\n",
    "ax.set_ylabel('Number of movies produced', rotation = 'vertical', size = 18)\n",
    "ax.set_xticks(ind + width / 2)\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "\n",
    "ax.legend((rects1[0], rects2[0]), ('Year: 2000', 'Year: 2020'))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = np.array(grouped_genres.columns)\n",
    "y_1 = np.array(grouped_genres.loc['2020',:])\n",
    "y_2 = np.array(grouped_genres.loc['2015',:])\n",
    "sorted_indexes_year = np.argsort(y_1)\n",
    "labels = labels[sorted_indexes_year]\n",
    "y1 = y_1[sorted_indexes_year]\n",
    "y2 = y_2[sorted_indexes_year]\n",
    "\n",
    "ind = np.arange(28)\n",
    "width = 0.4\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "rects1 = ax.bar(ind, y2, width, color='orange')\n",
    "\n",
    "rects2 = ax.bar(ind+width, y1, width, color='black')\n",
    "\n",
    "fig.set_size_inches(15, 10)\n",
    "\n",
    "ax.set_ylabel('Number of movies produced', rotation = 'vertical', size = 18)\n",
    "ax.set_xticks(ind + width / 2)\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "\n",
    "ax.legend((rects1[0], rects2[0]), ('Year: 2015', 'Year: 2020'))\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}