student.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Final Project Submission\n",
    "\n",
    "Please fill out:\n",
    "* Student name: JOHN KIOKO\n",
    "* Student pace: full time\n",
    "* Scheduled project review date/time: Fri, Sep 15, 2023\n",
    "* Instructor name: Lucille Kahela\n",
    "* Blog post URL:\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### a) Business Problem"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">Microsoft sees all the big companies creating original video content and they want to get in on the fun. They have decided to create a new movie studio, but they don’t know anything about creating movies. You are charged with exploring what types of films are currently doing the best at the box office.\n",
    "\n",
    ">Problem Statement: You must then translate those findings into actionable insights that the head of Microsoft's new movie studio can use to help decide what type of films to create."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### b) Main Objective\n",
    "Finding the types of films that are doing best at the box office and use the data to create a new movie studio"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### c) Other Objectives\n",
    "\n",
    "* To determine the relationships between genres and various predictor variables ( using gross, rating and the number of votes)\n",
    "* Determine the relationships between the Movie_titles and predicting values (like rating, gross, and number of votes)\n",
    "* Determin how average rating and number of votes will affect movies to be produced"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Understanding"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading Libraries, Datasets and Understanding Them"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Loading Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Your code here - remember to use markdown cells for comments as well!\n",
    "# importing necessary libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import csv\n",
    "import shutil\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "#Establishing a connection (Sqlite Dataset)\n",
    "import sqlite3\n",
    "conn = sqlite3.connect('im.db')\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Loading DATASETS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Loading the datasets\n",
    "\n",
    "bom_movie_gross = pd.read_csv('bom.movie_gross.csv')\n",
    "rt_movie_info = pd.read_csv('rt.movie_info.tsv', sep='\\t')\n",
    "rt_reviews = pd.read_csv('rt.reviews.tsv', sep='\\t', encoding= 'latin1')\n",
    "tmdb_movies = pd.read_csv('tmdb.movies.csv')\n",
    "movie_budgets = pd.read_csv('tn.movie_budgets.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cleaning Datasets and Previewing them (Data UNDERSTANDING)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>studio</th>\n",
       "      <th>domestic_gross</th>\n",
       "      <th>foreign_gross</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Toy Story 3</td>\n",
       "      <td>BV</td>\n",
       "      <td>415000000.0</td>\n",
       "      <td>652000000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alice in Wonderland (2010)</td>\n",
       "      <td>BV</td>\n",
       "      <td>334200000.0</td>\n",
       "      <td>691300000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Harry Potter and the Deathly Hallows Part 1</td>\n",
       "      <td>WB</td>\n",
       "      <td>296000000.0</td>\n",
       "      <td>664300000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Inception</td>\n",
       "      <td>WB</td>\n",
       "      <td>292600000.0</td>\n",
       "      <td>535700000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shrek Forever After</td>\n",
       "      <td>P/DW</td>\n",
       "      <td>238700000.0</td>\n",
       "      <td>513900000</td>\n",
       "      <td>2010</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>3382</th>\n",
       "      <td>The Quake</td>\n",
       "      <td>Magn.</td>\n",
       "      <td>6200.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3383</th>\n",
       "      <td>Edward II (2018 re-release)</td>\n",
       "      <td>FM</td>\n",
       "      <td>4800.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3384</th>\n",
       "      <td>El Pacto</td>\n",
       "      <td>Sony</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3385</th>\n",
       "      <td>The Swan</td>\n",
       "      <td>Synergetic</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3386</th>\n",
       "      <td>An Actor Prepares</td>\n",
       "      <td>Grav.</td>\n",
       "      <td>1700.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3387 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            title      studio  domestic_gross  \\\n",
       "0                                     Toy Story 3          BV     415000000.0   \n",
       "1                      Alice in Wonderland (2010)          BV     334200000.0   \n",
       "2     Harry Potter and the Deathly Hallows Part 1          WB     296000000.0   \n",
       "3                                       Inception          WB     292600000.0   \n",
       "4                             Shrek Forever After        P/DW     238700000.0   \n",
       "...                                           ...         ...             ...   \n",
       "3382                                    The Quake       Magn.          6200.0   \n",
       "3383                  Edward II (2018 re-release)          FM          4800.0   \n",
       "3384                                     El Pacto        Sony          2500.0   \n",
       "3385                                     The Swan  Synergetic          2400.0   \n",
       "3386                            An Actor Prepares       Grav.          1700.0   \n",
       "\n",
       "     foreign_gross  year  \n",
       "0        652000000  2010  \n",
       "1        691300000  2010  \n",
       "2        664300000  2010  \n",
       "3        535700000  2010  \n",
       "4        513900000  2010  \n",
       "...            ...   ...  \n",
       "3382           NaN  2018  \n",
       "3383           NaN  2018  \n",
       "3384           NaN  2018  \n",
       "3385           NaN  2018  \n",
       "3386           NaN  2018  \n",
       "\n",
       "[3387 rows x 5 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking the movie budgets dataset\n",
    "bom_movie_gross"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The foreign gross has a few nan values "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3387, 5)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Further data preview (Box office mojo dataset)\n",
    "bom_movie_gross.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 3387 entries, 0 to 3386\n",
      "Data columns (total 5 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   title           3387 non-null   object \n",
      " 1   studio          3382 non-null   object \n",
      " 2   domestic_gross  3359 non-null   float64\n",
      " 3   foreign_gross   2037 non-null   object \n",
      " 4   year            3387 non-null   int64  \n",
      "dtypes: float64(1), int64(1), object(3)\n",
      "memory usage: 132.4+ KB\n"
     ]
    }
   ],
   "source": [
    "bom_movie_gross.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Observations\n",
    "The foreign Gross is supposed to be a number but it has an object value instead\n",
    "There are also missing rows in this data set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title                0\n",
       "studio               5\n",
       "domestic_gross      28\n",
       "foreign_gross     1350\n",
       "year                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Data Preview (Box office mojo dataset)\n",
    "bom_movie_gross.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since the number of missing values in the foreign gross is alot. There's a need to drop this column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dropping the FG and the Studio Nan Values (Box Office Mojo)\n",
    "bom_movie_gross.dropna(subset=['studio', 'foreign_gross'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title              0\n",
       "studio             0\n",
       "domestic_gross    26\n",
       "foreign_gross      0\n",
       "year               0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bom_movie_gross.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are no Nan Values again in our mojo dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking for Duplicate values\n",
    "duplicates = bom_movie_gross[bom_movie_gross.duplicated()]\n",
    "len(duplicates)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The mojo dataset doesn't contain duplicates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_title</th>\n",
       "      <th>studio</th>\n",
       "      <th>domestic_gross</th>\n",
       "      <th>foreign_gross</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Toy Story 3</td>\n",
       "      <td>BV</td>\n",
       "      <td>415000000.0</td>\n",
       "      <td>652000000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alice in Wonderland (2010)</td>\n",
       "      <td>BV</td>\n",
       "      <td>334200000.0</td>\n",
       "      <td>691300000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Harry Potter and the Deathly Hallows Part 1</td>\n",
       "      <td>WB</td>\n",
       "      <td>296000000.0</td>\n",
       "      <td>664300000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Inception</td>\n",
       "      <td>WB</td>\n",
       "      <td>292600000.0</td>\n",
       "      <td>535700000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shrek Forever After</td>\n",
       "      <td>P/DW</td>\n",
       "      <td>238700000.0</td>\n",
       "      <td>513900000</td>\n",
       "      <td>2010</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>3275</th>\n",
       "      <td>I Still See You</td>\n",
       "      <td>LGF</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>1500000</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3286</th>\n",
       "      <td>The Catcher Was a Spy</td>\n",
       "      <td>IFC</td>\n",
       "      <td>725000.0</td>\n",
       "      <td>229000</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3309</th>\n",
       "      <td>Time Freak</td>\n",
       "      <td>Grindstone</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>256000</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3342</th>\n",
       "      <td>Reign of Judges: Title of Liberty - Concept Short</td>\n",
       "      <td>Darin Southa</td>\n",
       "      <td>93200.0</td>\n",
       "      <td>5200</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3353</th>\n",
       "      <td>Antonio Lopez 1970: Sex Fashion &amp; Disco</td>\n",
       "      <td>FM</td>\n",
       "      <td>43200.0</td>\n",
       "      <td>30000</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2033 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            movie_title        studio  \\\n",
       "0                                           Toy Story 3            BV   \n",
       "1                            Alice in Wonderland (2010)            BV   \n",
       "2           Harry Potter and the Deathly Hallows Part 1            WB   \n",
       "3                                             Inception            WB   \n",
       "4                                   Shrek Forever After          P/DW   \n",
       "...                                                 ...           ...   \n",
       "3275                                    I Still See You           LGF   \n",
       "3286                              The Catcher Was a Spy           IFC   \n",
       "3309                                         Time Freak    Grindstone   \n",
       "3342  Reign of Judges: Title of Liberty - Concept Short  Darin Southa   \n",
       "3353            Antonio Lopez 1970: Sex Fashion & Disco            FM   \n",
       "\n",
       "      domestic_gross foreign_gross  year  \n",
       "0        415000000.0     652000000  2010  \n",
       "1        334200000.0     691300000  2010  \n",
       "2        296000000.0     664300000  2010  \n",
       "3        292600000.0     535700000  2010  \n",
       "4        238700000.0     513900000  2010  \n",
       "...              ...           ...   ...  \n",
       "3275          1400.0       1500000  2018  \n",
       "3286        725000.0        229000  2018  \n",
       "3309         10000.0        256000  2018  \n",
       "3342         93200.0          5200  2018  \n",
       "3353         43200.0         30000  2018  \n",
       "\n",
       "[2033 rows x 5 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Changinge the title 'column' to 'movie_title'\n",
    "bom_movie_gross = bom_movie_gross.rename(columns = {'title':'movie_title'})\n",
    "bom_movie_gross"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>theater_date</th>\n",
       "      <th>dvd_date</th>\n",
       "      <th>currency</th>\n",
       "      <th>box_office</th>\n",
       "      <th>runtime</th>\n",
       "      <th>studio</th>\n",
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       "  </thead>\n",
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       "      <td>1</td>\n",
       "      <td>This gritty, fast-paced, and innovative police...</td>\n",
       "      <td>R</td>\n",
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       "      <td>William Friedkin</td>\n",
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       "      <td>New York City, not-too-distant-future: Eric Pa...</td>\n",
       "      <td>R</td>\n",
       "      <td>Drama|Science Fiction and Fantasy</td>\n",
       "      <td>David Cronenberg</td>\n",
       "      <td>David Cronenberg|Don DeLillo</td>\n",
       "      <td>Aug 17, 2012</td>\n",
       "      <td>Jan 1, 2013</td>\n",
       "      <td>$</td>\n",
       "      <td>600,000</td>\n",
       "      <td>108 minutes</td>\n",
       "      <td>Entertainment One</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>Illeana Douglas delivers a superb performance ...</td>\n",
       "      <td>R</td>\n",
       "      <td>Drama|Musical and Performing Arts</td>\n",
       "      <td>Allison Anders</td>\n",
       "      <td>Allison Anders</td>\n",
       "      <td>Sep 13, 1996</td>\n",
       "      <td>Apr 18, 2000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116 minutes</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6</td>\n",
       "      <td>Michael Douglas runs afoul of a treacherous su...</td>\n",
       "      <td>R</td>\n",
       "      <td>Drama|Mystery and Suspense</td>\n",
       "      <td>Barry Levinson</td>\n",
       "      <td>Paul Attanasio|Michael Crichton</td>\n",
       "      <td>Dec 9, 1994</td>\n",
       "      <td>Aug 27, 1997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>128 minutes</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NR</td>\n",
       "      <td>Drama|Romance</td>\n",
       "      <td>Rodney Bennett</td>\n",
       "      <td>Giles Cooper</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>200 minutes</td>\n",
       "      <td>NaN</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1555</th>\n",
       "      <td>1996</td>\n",
       "      <td>Forget terrorists or hijackers -- there's a ha...</td>\n",
       "      <td>R</td>\n",
       "      <td>Action and Adventure|Horror|Mystery and Suspense</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Aug 18, 2006</td>\n",
       "      <td>Jan 2, 2007</td>\n",
       "      <td>$</td>\n",
       "      <td>33,886,034</td>\n",
       "      <td>106 minutes</td>\n",
       "      <td>New Line Cinema</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1556</th>\n",
       "      <td>1997</td>\n",
       "      <td>The popular Saturday Night Live sketch was exp...</td>\n",
       "      <td>PG</td>\n",
       "      <td>Comedy|Science Fiction and Fantasy</td>\n",
       "      <td>Steve Barron</td>\n",
       "      <td>Terry Turner|Tom Davis|Dan Aykroyd|Bonnie Turner</td>\n",
       "      <td>Jul 23, 1993</td>\n",
       "      <td>Apr 17, 2001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>88 minutes</td>\n",
       "      <td>Paramount Vantage</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1557</th>\n",
       "      <td>1998</td>\n",
       "      <td>Based on a novel by Richard Powell, when the l...</td>\n",
       "      <td>G</td>\n",
       "      <td>Classics|Comedy|Drama|Musical and Performing Arts</td>\n",
       "      <td>Gordon Douglas</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jan 1, 1962</td>\n",
       "      <td>May 11, 2004</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>111 minutes</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1558</th>\n",
       "      <td>1999</td>\n",
       "      <td>The Sandlot is a coming-of-age story about a g...</td>\n",
       "      <td>PG</td>\n",
       "      <td>Comedy|Drama|Kids and Family|Sports and Fitness</td>\n",
       "      <td>David Mickey Evans</td>\n",
       "      <td>David Mickey Evans|Robert Gunter</td>\n",
       "      <td>Apr 1, 1993</td>\n",
       "      <td>Jan 29, 2002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101 minutes</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1559</th>\n",
       "      <td>2000</td>\n",
       "      <td>Suspended from the force, Paris cop Hubert is ...</td>\n",
       "      <td>R</td>\n",
       "      <td>Action and Adventure|Art House and Internation...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Luc Besson</td>\n",
       "      <td>Sep 27, 2001</td>\n",
       "      <td>Feb 11, 2003</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>94 minutes</td>\n",
       "      <td>Columbia Pictures</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1560 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        id                                           synopsis rating  \\\n",
       "0        1  This gritty, fast-paced, and innovative police...      R   \n",
       "1        3  New York City, not-too-distant-future: Eric Pa...      R   \n",
       "2        5  Illeana Douglas delivers a superb performance ...      R   \n",
       "3        6  Michael Douglas runs afoul of a treacherous su...      R   \n",
       "4        7                                                NaN     NR   \n",
       "...    ...                                                ...    ...   \n",
       "1555  1996  Forget terrorists or hijackers -- there's a ha...      R   \n",
       "1556  1997  The popular Saturday Night Live sketch was exp...     PG   \n",
       "1557  1998  Based on a novel by Richard Powell, when the l...      G   \n",
       "1558  1999  The Sandlot is a coming-of-age story about a g...     PG   \n",
       "1559  2000  Suspended from the force, Paris cop Hubert is ...      R   \n",
       "\n",
       "                                                  genre            director  \\\n",
       "0                   Action and Adventure|Classics|Drama    William Friedkin   \n",
       "1                     Drama|Science Fiction and Fantasy    David Cronenberg   \n",
       "2                     Drama|Musical and Performing Arts      Allison Anders   \n",
       "3                            Drama|Mystery and Suspense      Barry Levinson   \n",
       "4                                         Drama|Romance      Rodney Bennett   \n",
       "...                                                 ...                 ...   \n",
       "1555   Action and Adventure|Horror|Mystery and Suspense                 NaN   \n",
       "1556                 Comedy|Science Fiction and Fantasy        Steve Barron   \n",
       "1557  Classics|Comedy|Drama|Musical and Performing Arts      Gordon Douglas   \n",
       "1558    Comedy|Drama|Kids and Family|Sports and Fitness  David Mickey Evans   \n",
       "1559  Action and Adventure|Art House and Internation...                 NaN   \n",
       "\n",
       "                                                writer  theater_date  \\\n",
       "0                                       Ernest Tidyman   Oct 9, 1971   \n",
       "1                         David Cronenberg|Don DeLillo  Aug 17, 2012   \n",
       "2                                       Allison Anders  Sep 13, 1996   \n",
       "3                      Paul Attanasio|Michael Crichton   Dec 9, 1994   \n",
       "4                                         Giles Cooper           NaN   \n",
       "...                                                ...           ...   \n",
       "1555                                               NaN  Aug 18, 2006   \n",
       "1556  Terry Turner|Tom Davis|Dan Aykroyd|Bonnie Turner  Jul 23, 1993   \n",
       "1557                                               NaN   Jan 1, 1962   \n",
       "1558                  David Mickey Evans|Robert Gunter   Apr 1, 1993   \n",
       "1559                                        Luc Besson  Sep 27, 2001   \n",
       "\n",
       "          dvd_date currency  box_office      runtime             studio  \n",
       "0     Sep 25, 2001      NaN         NaN  104 minutes                NaN  \n",
       "1      Jan 1, 2013        $     600,000  108 minutes  Entertainment One  \n",
       "2     Apr 18, 2000      NaN         NaN  116 minutes                NaN  \n",
       "3     Aug 27, 1997      NaN         NaN  128 minutes                NaN  \n",
       "4              NaN      NaN         NaN  200 minutes                NaN  \n",
       "...            ...      ...         ...          ...                ...  \n",
       "1555   Jan 2, 2007        $  33,886,034  106 minutes    New Line Cinema  \n",
       "1556  Apr 17, 2001      NaN         NaN   88 minutes  Paramount Vantage  \n",
       "1557  May 11, 2004      NaN         NaN  111 minutes                NaN  \n",
       "1558  Jan 29, 2002      NaN         NaN  101 minutes                NaN  \n",
       "1559  Feb 11, 2003      NaN         NaN   94 minutes  Columbia Pictures  \n",
       "\n",
       "[1560 rows x 12 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Checking the rotten tomatoes dataset\n",
    "rt_movie_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1560, 12)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Further data preview (Rotten Tomatoes)\n",
    "rt_movie_info.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1560 entries, 0 to 1559\n",
      "Data columns (total 12 columns):\n",
      " #   Column        Non-Null Count  Dtype \n",
      "---  ------        --------------  ----- \n",
      " 0   id            1560 non-null   int64 \n",
      " 1   synopsis      1498 non-null   object\n",
      " 2   rating        1557 non-null   object\n",
      " 3   genre         1552 non-null   object\n",
      " 4   director      1361 non-null   object\n",
      " 5   writer        1111 non-null   object\n",
      " 6   theater_date  1201 non-null   object\n",
      " 7   dvd_date      1201 non-null   object\n",
      " 8   currency      340 non-null    object\n",
      " 9   box_office    340 non-null    object\n",
      " 10  runtime       1530 non-null   object\n",
      " 11  studio        494 non-null    object\n",
      "dtypes: int64(1), object(11)\n",
      "memory usage: 146.4+ KB\n"
     ]
    }
   ],
   "source": [
    "rt_movie_info.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                 0\n",
       "synopsis          62\n",
       "rating             3\n",
       "genre              8\n",
       "director         199\n",
       "writer           449\n",
       "theater_date     359\n",
       "dvd_date         359\n",
       "currency        1220\n",
       "box_office      1220\n",
       "runtime           30\n",
       "studio          1066\n",
       "dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rt_movie_info.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "rt_movie_info.dropna(subset=['synopsis', 'director', 'writer', 'theater_date', 'dvd_date', 'runtime', 'studio',  'currency', 'rating', 'genre', 'box_office'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id              0\n",
       "synopsis        0\n",
       "rating          0\n",
       "genre           0\n",
       "director        0\n",
       "writer          0\n",
       "theater_date    0\n",
       "dvd_date        0\n",
       "currency        0\n",
       "box_office      0\n",
       "runtime         0\n",
       "studio          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rt_movie_info.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duplicates = rt_movie_info[rt_movie_info.duplicated()]\n",
    "len(duplicates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>id</th>\n",
       "      <th>synopsis</th>\n",
       "      <th>rating</th>\n",
       "      <th>genre</th>\n",
       "      <th>director</th>\n",
       "      <th>writer</th>\n",
       "      <th>theater_date</th>\n",
       "      <th>dvd_date</th>\n",
       "      <th>currency</th>\n",
       "      <th>box_office</th>\n",
       "      <th>runtime</th>\n",
       "      <th>studio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>New York City, not-too-distant-future: Eric Pa...</td>\n",
       "      <td>R</td>\n",
       "      <td>Drama|Science Fiction and Fantasy</td>\n",
       "      <td>David Cronenberg</td>\n",
       "      <td>David Cronenberg|Don DeLillo</td>\n",
       "      <td>Aug 17, 2012</td>\n",
       "      <td>Jan 1, 2013</td>\n",
       "      <td>$</td>\n",
       "      <td>600,000</td>\n",
       "      <td>108 minutes</td>\n",
       "      <td>Entertainment One</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10</td>\n",
       "      <td>Some cast and crew from NBC's highly acclaimed...</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Jake Kasdan</td>\n",
       "      <td>Mike White</td>\n",
       "      <td>Jan 11, 2002</td>\n",
       "      <td>Jun 18, 2002</td>\n",
       "      <td>$</td>\n",
       "      <td>41,032,915</td>\n",
       "      <td>82 minutes</td>\n",
       "      <td>Paramount Pictures</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>13</td>\n",
       "      <td>Stewart Kane, an Irishman living in the Austra...</td>\n",
       "      <td>R</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Ray Lawrence</td>\n",
       "      <td>Raymond Carver|Beatrix Christian</td>\n",
       "      <td>Apr 27, 2006</td>\n",
       "      <td>Oct 2, 2007</td>\n",
       "      <td>$</td>\n",
       "      <td>224,114</td>\n",
       "      <td>123 minutes</td>\n",
       "      <td>Sony Pictures Classics</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>22</td>\n",
       "      <td>Two-time Academy Award Winner Kevin Spacey giv...</td>\n",
       "      <td>R</td>\n",
       "      <td>Comedy|Drama|Mystery and Suspense</td>\n",
       "      <td>George Hickenlooper</td>\n",
       "      <td>Norman Snider</td>\n",
       "      <td>Dec 17, 2010</td>\n",
       "      <td>Apr 5, 2011</td>\n",
       "      <td>$</td>\n",
       "      <td>1,039,869</td>\n",
       "      <td>108 minutes</td>\n",
       "      <td>ATO Pictures</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>25</td>\n",
       "      <td>From ancient Japan's most enduring tale, the e...</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>Action and Adventure|Drama|Science Fiction and...</td>\n",
       "      <td>Carl Erik Rinsch</td>\n",
       "      <td>Chris Morgan|Hossein Amini</td>\n",
       "      <td>Dec 25, 2013</td>\n",
       "      <td>Apr 1, 2014</td>\n",
       "      <td>$</td>\n",
       "      <td>20,518,224</td>\n",
       "      <td>127 minutes</td>\n",
       "      <td>Universal Pictures</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1530</th>\n",
       "      <td>1968</td>\n",
       "      <td>This holiday season, acclaimed filmmaker Camer...</td>\n",
       "      <td>PG</td>\n",
       "      <td>Comedy|Drama</td>\n",
       "      <td>Cameron Crowe</td>\n",
       "      <td>Aline Brosh McKenna|Cameron Crowe</td>\n",
       "      <td>Dec 23, 2011</td>\n",
       "      <td>Apr 3, 2012</td>\n",
       "      <td>$</td>\n",
       "      <td>72,700,000</td>\n",
       "      <td>126 minutes</td>\n",
       "      <td>20th Century Fox</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1537</th>\n",
       "      <td>1976</td>\n",
       "      <td>Embrace of the Serpent features the encounter,...</td>\n",
       "      <td>NR</td>\n",
       "      <td>Action and Adventure|Art House and International</td>\n",
       "      <td>Ciro Guerra</td>\n",
       "      <td>Ciro Guerra|Jacques Toulemonde Vidal</td>\n",
       "      <td>Feb 17, 2016</td>\n",
       "      <td>Jun 21, 2016</td>\n",
       "      <td>$</td>\n",
       "      <td>1,320,005</td>\n",
       "      <td>123 minutes</td>\n",
       "      <td>Buffalo Films</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1541</th>\n",
       "      <td>1980</td>\n",
       "      <td>A band of renegades on the run in outer space ...</td>\n",
       "      <td>PG-13</td>\n",
       "      <td>Action and Adventure|Science Fiction and Fantasy</td>\n",
       "      <td>Joss Whedon</td>\n",
       "      <td>Joss Whedon</td>\n",
       "      <td>Sep 30, 2005</td>\n",
       "      <td>Dec 20, 2005</td>\n",
       "      <td>$</td>\n",
       "      <td>25,335,935</td>\n",
       "      <td>119 minutes</td>\n",
       "      <td>Universal Pictures</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1542</th>\n",
       "      <td>1981</td>\n",
       "      <td>Money, Fame and the Knowledge of English. In I...</td>\n",
       "      <td>NR</td>\n",
       "      <td>Comedy|Drama</td>\n",
       "      <td>Gauri Shinde</td>\n",
       "      <td>Gauri Shinde</td>\n",
       "      <td>Oct 5, 2012</td>\n",
       "      <td>Nov 20, 2012</td>\n",
       "      <td>$</td>\n",
       "      <td>1,416,189</td>\n",
       "      <td>129 minutes</td>\n",
       "      <td>Eros Entertainment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1545</th>\n",
       "      <td>1985</td>\n",
       "      <td>A woman who joins the undead against her will ...</td>\n",
       "      <td>R</td>\n",
       "      <td>Horror|Mystery and Suspense</td>\n",
       "      <td>Sebastian Gutierrez</td>\n",
       "      <td>Sebastian Gutierrez</td>\n",
       "      <td>Jun 1, 2007</td>\n",
       "      <td>Oct 9, 2007</td>\n",
       "      <td>$</td>\n",
       "      <td>59,371</td>\n",
       "      <td>98 minutes</td>\n",
       "      <td>IDP Distribution</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>235 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        id                                           synopsis rating  \\\n",
       "1        3  New York City, not-too-distant-future: Eric Pa...      R   \n",
       "6       10  Some cast and crew from NBC's highly acclaimed...  PG-13   \n",
       "7       13  Stewart Kane, an Irishman living in the Austra...      R   \n",
       "15      22  Two-time Academy Award Winner Kevin Spacey giv...      R   \n",
       "18      25  From ancient Japan's most enduring tale, the e...  PG-13   \n",
       "...    ...                                                ...    ...   \n",
       "1530  1968  This holiday season, acclaimed filmmaker Camer...     PG   \n",
       "1537  1976  Embrace of the Serpent features the encounter,...     NR   \n",
       "1541  1980  A band of renegades on the run in outer space ...  PG-13   \n",
       "1542  1981  Money, Fame and the Knowledge of English. In I...     NR   \n",
       "1545  1985  A woman who joins the undead against her will ...      R   \n",
       "\n",
       "                                                  genre             director  \\\n",
       "1                     Drama|Science Fiction and Fantasy     David Cronenberg   \n",
       "6                                                Comedy          Jake Kasdan   \n",
       "7                                                 Drama         Ray Lawrence   \n",
       "15                    Comedy|Drama|Mystery and Suspense  George Hickenlooper   \n",
       "18    Action and Adventure|Drama|Science Fiction and...     Carl Erik Rinsch   \n",
       "...                                                 ...                  ...   \n",
       "1530                                       Comedy|Drama        Cameron Crowe   \n",
       "1537   Action and Adventure|Art House and International          Ciro Guerra   \n",
       "1541   Action and Adventure|Science Fiction and Fantasy          Joss Whedon   \n",
       "1542                                       Comedy|Drama         Gauri Shinde   \n",
       "1545                        Horror|Mystery and Suspense  Sebastian Gutierrez   \n",
       "\n",
       "                                    writer  theater_date      dvd_date  \\\n",
       "1             David Cronenberg|Don DeLillo  Aug 17, 2012   Jan 1, 2013   \n",
       "6                               Mike White  Jan 11, 2002  Jun 18, 2002   \n",
       "7         Raymond Carver|Beatrix Christian  Apr 27, 2006   Oct 2, 2007   \n",
       "15                           Norman Snider  Dec 17, 2010   Apr 5, 2011   \n",
       "18              Chris Morgan|Hossein Amini  Dec 25, 2013   Apr 1, 2014   \n",
       "...                                    ...           ...           ...   \n",
       "1530     Aline Brosh McKenna|Cameron Crowe  Dec 23, 2011   Apr 3, 2012   \n",
       "1537  Ciro Guerra|Jacques Toulemonde Vidal  Feb 17, 2016  Jun 21, 2016   \n",
       "1541                           Joss Whedon  Sep 30, 2005  Dec 20, 2005   \n",
       "1542                          Gauri Shinde   Oct 5, 2012  Nov 20, 2012   \n",
       "1545                   Sebastian Gutierrez   Jun 1, 2007   Oct 9, 2007   \n",
       "\n",
       "     currency  box_office      runtime                  studio  \n",
       "1           $     600,000  108 minutes       Entertainment One  \n",
       "6           $  41,032,915   82 minutes      Paramount Pictures  \n",
       "7           $     224,114  123 minutes  Sony Pictures Classics  \n",
       "15          $   1,039,869  108 minutes            ATO Pictures  \n",
       "18          $  20,518,224  127 minutes      Universal Pictures  \n",
       "...       ...         ...          ...                     ...  \n",
       "1530        $  72,700,000  126 minutes        20th Century Fox  \n",
       "1537        $   1,320,005  123 minutes           Buffalo Films  \n",
       "1541        $  25,335,935  119 minutes      Universal Pictures  \n",
       "1542        $   1,416,189  129 minutes      Eros Entertainment  \n",
       "1545        $      59,371   98 minutes        IDP Distribution  \n",
       "\n",
       "[235 rows x 12 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rt_movie_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "       Unnamed: 0            genre_ids      id original_language  \\\n",
       "0               0      [12, 14, 10751]   12444                en   \n",
       "1               1  [14, 12, 16, 10751]   10191                en   \n",
       "2               2        [12, 28, 878]   10138                en   \n",
       "3               3      [16, 35, 10751]     862                en   \n",
       "4               4        [28, 878, 12]   27205                en   \n",
       "...           ...                  ...     ...               ...   \n",
       "26512       26512             [27, 18]  488143                en   \n",
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       "26515       26515      [10751, 12, 28]  366854                en   \n",
       "26516       26516             [53, 27]  309885                en   \n",
       "\n",
       "                                     original_title  popularity release_date  \\\n",
       "0      Harry Potter and the Deathly Hallows: Part 1      33.533   2010-11-19   \n",
       "1                          How to Train Your Dragon      28.734   2010-03-26   \n",
       "2                                        Iron Man 2      28.515   2010-05-07   \n",
       "3                                         Toy Story      28.005   1995-11-22   \n",
       "4                                         Inception      27.920   2010-07-16   \n",
       "...                                             ...         ...          ...   \n",
       "26512                         Laboratory Conditions       0.600   2018-10-13   \n",
       "26513                               _EXHIBIT_84xxx_       0.600   2018-05-01   \n",
       "26514                                  The Last One       0.600   2018-10-01   \n",
       "26515                                  Trailer Made       0.600   2018-06-22   \n",
       "26516                                    The Church       0.600   2018-10-05   \n",
       "\n",
       "                                              title  vote_average  vote_count  \n",
       "0      Harry Potter and the Deathly Hallows: Part 1           7.7       10788  \n",
       "1                          How to Train Your Dragon           7.7        7610  \n",
       "2                                        Iron Man 2           6.8       12368  \n",
       "3                                         Toy Story           7.9       10174  \n",
       "4                                         Inception           8.3       22186  \n",
       "...                                             ...           ...         ...  \n",
       "26512                         Laboratory Conditions           0.0           1  \n",
       "26513                               _EXHIBIT_84xxx_           0.0           1  \n",
       "26514                                  The Last One           0.0           1  \n",
       "26515                                  Trailer Made           0.0           1  \n",
       "26516                                    The Church           0.0           1  \n",
       "\n",
       "[26517 rows x 10 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Further data preview (tmdb_movies)\n",
    "tmdb_movies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the above Output the Movie Database has some anomalies, it has an unnamed column and repeated movie titles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(26517, 10)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmdb_movies.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 26517 entries, 0 to 26516\n",
      "Data columns (total 10 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   Unnamed: 0         26517 non-null  int64  \n",
      " 1   genre_ids          26517 non-null  object \n",
      " 2   id                 26517 non-null  int64  \n",
      " 3   original_language  26517 non-null  object \n",
      " 4   original_title     26517 non-null  object \n",
      " 5   popularity         26517 non-null  float64\n",
      " 6   release_date       26517 non-null  object \n",
      " 7   title              26517 non-null  object \n",
      " 8   vote_average       26517 non-null  float64\n",
      " 9   vote_count         26517 non-null  int64  \n",
      "dtypes: float64(2), int64(3), object(5)\n",
      "memory usage: 2.0+ MB\n"
     ]
    }
   ],
   "source": [
    "tmdb_movies.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0           0\n",
       "genre_ids            0\n",
       "id                   0\n",
       "original_language    0\n",
       "original_title       0\n",
       "popularity           0\n",
       "release_date         0\n",
       "title                0\n",
       "vote_average         0\n",
       "vote_count           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# finding nan values in the movie database\n",
    "tmdb_movies.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above dataset doesnt have any Nan Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Renaming columns\n",
    "tmdb_movies = tmdb_movies.rename(columns = {'original_language':'language', 'original_title':'original_movie_title', 'title':'movie_title'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>26515</th>\n",
       "      <td>26515</td>\n",
       "      <td>[10751, 12, 28]</td>\n",
       "      <td>366854</td>\n",
       "      <td>en</td>\n",
       "      <td>Trailer Made</td>\n",
       "      <td>0.600</td>\n",
       "      <td>2018-06-22</td>\n",
       "      <td>Trailer Made</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26516</th>\n",
       "      <td>26516</td>\n",
       "      <td>[53, 27]</td>\n",
       "      <td>309885</td>\n",
       "      <td>en</td>\n",
       "      <td>The Church</td>\n",
       "      <td>0.600</td>\n",
       "      <td>2018-10-05</td>\n",
       "      <td>The Church</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>26517 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Unnamed: 0            genre_ids      id language  \\\n",
       "0               0      [12, 14, 10751]   12444       en   \n",
       "1               1  [14, 12, 16, 10751]   10191       en   \n",
       "2               2        [12, 28, 878]   10138       en   \n",
       "3               3      [16, 35, 10751]     862       en   \n",
       "4               4        [28, 878, 12]   27205       en   \n",
       "...           ...                  ...     ...      ...   \n",
       "26512       26512             [27, 18]  488143       en   \n",
       "26513       26513             [18, 53]  485975       en   \n",
       "26514       26514         [14, 28, 12]  381231       en   \n",
       "26515       26515      [10751, 12, 28]  366854       en   \n",
       "26516       26516             [53, 27]  309885       en   \n",
       "\n",
       "                               original_movie_title  popularity release_date  \\\n",
       "0      Harry Potter and the Deathly Hallows: Part 1      33.533   2010-11-19   \n",
       "1                          How to Train Your Dragon      28.734   2010-03-26   \n",
       "2                                        Iron Man 2      28.515   2010-05-07   \n",
       "3                                         Toy Story      28.005   1995-11-22   \n",
       "4                                         Inception      27.920   2010-07-16   \n",
       "...                                             ...         ...          ...   \n",
       "26512                         Laboratory Conditions       0.600   2018-10-13   \n",
       "26513                               _EXHIBIT_84xxx_       0.600   2018-05-01   \n",
       "26514                                  The Last One       0.600   2018-10-01   \n",
       "26515                                  Trailer Made       0.600   2018-06-22   \n",
       "26516                                    The Church       0.600   2018-10-05   \n",
       "\n",
       "                                        movie_title  vote_average  vote_count  \n",
       "0      Harry Potter and the Deathly Hallows: Part 1           7.7       10788  \n",
       "1                          How to Train Your Dragon           7.7        7610  \n",
       "2                                        Iron Man 2           6.8       12368  \n",
       "3                                         Toy Story           7.9       10174  \n",
       "4                                         Inception           8.3       22186  \n",
       "...                                             ...           ...         ...  \n",
       "26512                         Laboratory Conditions           0.0           1  \n",
       "26513                               _EXHIBIT_84xxx_           0.0           1  \n",
       "26514                                  The Last One           0.0           1  \n",
       "26515                                  Trailer Made           0.0           1  \n",
       "26516                                    The Church           0.0           1  \n",
       "\n",
       "[26517 rows x 10 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tmdb_movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
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       "      <td>Cinema Scope</td>\n",
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       "      <td>Laura Sinagra</td>\n",
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       "      <td>September 24, 2002</td>\n",
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       "    <tr>\n",
       "      <th>54428</th>\n",
       "      <td>2000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/5</td>\n",
       "      <td>rotten</td>\n",
       "      <td>Michael Szymanski</td>\n",
       "      <td>0</td>\n",
       "      <td>Zap2it.com</td>\n",
       "      <td>September 21, 2005</td>\n",
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       "    <tr>\n",
       "      <th>54429</th>\n",
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       "      <td>NaN</td>\n",
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       "      <td>rotten</td>\n",
       "      <td>Emanuel Levy</td>\n",
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       "      <td>EmanuelLevy.Com</td>\n",
       "      <td>July 17, 2005</td>\n",
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       "    <tr>\n",
       "      <th>54430</th>\n",
       "      <td>2000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.5/5</td>\n",
       "      <td>rotten</td>\n",
       "      <td>Christopher Null</td>\n",
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       "      <td>Filmcritic.com</td>\n",
       "      <td>September 7, 2003</td>\n",
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       "    <tr>\n",
       "      <th>54431</th>\n",
       "      <td>2000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3/5</td>\n",
       "      <td>fresh</td>\n",
       "      <td>Nicolas Lacroix</td>\n",
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       "      <td>Showbizz.net</td>\n",
       "      <td>November 12, 2002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>54432 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id                                             review rating   fresh  \\\n",
       "0         3  A distinctly gallows take on contemporary fina...    3/5   fresh   \n",
       "1         3  It's an allegory in search of a meaning that n...    NaN  rotten   \n",
       "2         3  ... life lived in a bubble in financial dealin...    NaN   fresh   \n",
       "3         3  Continuing along a line introduced in last yea...    NaN   fresh   \n",
       "4         3             ... a perverse twist on neorealism...     NaN   fresh   \n",
       "...     ...                                                ...    ...     ...   \n",
       "54427  2000  The real charm of this trifle is the deadpan c...    NaN   fresh   \n",
       "54428  2000                                                NaN    1/5  rotten   \n",
       "54429  2000                                                NaN    2/5  rotten   \n",
       "54430  2000                                                NaN  2.5/5  rotten   \n",
       "54431  2000                                                NaN    3/5   fresh   \n",
       "\n",
       "                  critic  top_critic         publisher                date  \n",
       "0             PJ Nabarro           0   Patrick Nabarro   November 10, 2018  \n",
       "1         Annalee Newitz           0           io9.com        May 23, 2018  \n",
       "2           Sean Axmaker           0  Stream on Demand     January 4, 2018  \n",
       "3          Daniel Kasman           0              MUBI   November 16, 2017  \n",
       "4                    NaN           0      Cinema Scope    October 12, 2017  \n",
       "...                  ...         ...               ...                 ...  \n",
       "54427      Laura Sinagra           1     Village Voice  September 24, 2002  \n",
       "54428  Michael Szymanski           0        Zap2it.com  September 21, 2005  \n",
       "54429       Emanuel Levy           0   EmanuelLevy.Com       July 17, 2005  \n",
       "54430   Christopher Null           0    Filmcritic.com   September 7, 2003  \n",
       "54431    Nicolas Lacroix           0      Showbizz.net   November 12, 2002  \n",
       "\n",
       "[54432 rows x 8 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rt_reviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 54432 entries, 0 to 54431\n",
      "Data columns (total 8 columns):\n",
      " #   Column      Non-Null Count  Dtype \n",
      "---  ------      --------------  ----- \n",
      " 0   id          54432 non-null  int64 \n",
      " 1   review      48869 non-null  object\n",
      " 2   rating      40915 non-null  object\n",
      " 3   fresh       54432 non-null  object\n",
      " 4   critic      51710 non-null  object\n",
      " 5   top_critic  54432 non-null  int64 \n",
      " 6   publisher   54123 non-null  object\n",
      " 7   date        54432 non-null  object\n",
      "dtypes: int64(2), object(6)\n",
      "memory usage: 3.3+ MB\n"
     ]
    }
   ],
   "source": [
    "rt_reviews.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                0\n",
       "review         5563\n",
       "rating        13517\n",
       "fresh             0\n",
       "critic         2722\n",
       "top_critic        0\n",
       "publisher       309\n",
       "date              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rt_reviews.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>fresh</td>\n",
       "      <td>Laura Sinagra</td>\n",
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       "      <td>Village Voice</td>\n",
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       "    <tr>\n",
       "      <th>54428</th>\n",
       "      <td>2000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/5</td>\n",
       "      <td>rotten</td>\n",
       "      <td>Michael Szymanski</td>\n",
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       "      <td>Zap2it.com</td>\n",
       "      <td>September 21, 2005</td>\n",
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       "    <tr>\n",
       "      <th>54429</th>\n",
       "      <td>2000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2/5</td>\n",
       "      <td>rotten</td>\n",
       "      <td>Emanuel Levy</td>\n",
       "      <td>0</td>\n",
       "      <td>EmanuelLevy.Com</td>\n",
       "      <td>July 17, 2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54430</th>\n",
       "      <td>2000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.5/5</td>\n",
       "      <td>rotten</td>\n",
       "      <td>Christopher Null</td>\n",
       "      <td>0</td>\n",
       "      <td>Filmcritic.com</td>\n",
       "      <td>September 7, 2003</td>\n",
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       "      <th>54431</th>\n",
       "      <td>2000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3/5</td>\n",
       "      <td>fresh</td>\n",
       "      <td>Nicolas Lacroix</td>\n",
       "      <td>0</td>\n",
       "      <td>Showbizz.net</td>\n",
       "      <td>November 12, 2002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>54432 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       movie_id                                      critic_review  \\\n",
       "0             3  A distinctly gallows take on contemporary fina...   \n",
       "1             3  It's an allegory in search of a meaning that n...   \n",
       "2             3  ... life lived in a bubble in financial dealin...   \n",
       "3             3  Continuing along a line introduced in last yea...   \n",
       "4             3             ... a perverse twist on neorealism...    \n",
       "...         ...                                                ...   \n",
       "54427      2000  The real charm of this trifle is the deadpan c...   \n",
       "54428      2000                                                NaN   \n",
       "54429      2000                                                NaN   \n",
       "54430      2000                                                NaN   \n",
       "54431      2000                                                NaN   \n",
       "\n",
       "      critic_rating   fresh             critic  top_critic         publisher  \\\n",
       "0               3/5   fresh         PJ Nabarro           0   Patrick Nabarro   \n",
       "1               NaN  rotten     Annalee Newitz           0           io9.com   \n",
       "2               NaN   fresh       Sean Axmaker           0  Stream on Demand   \n",
       "3               NaN   fresh      Daniel Kasman           0              MUBI   \n",
       "4               NaN   fresh                NaN           0      Cinema Scope   \n",
       "...             ...     ...                ...         ...               ...   \n",
       "54427           NaN   fresh      Laura Sinagra           1     Village Voice   \n",
       "54428           1/5  rotten  Michael Szymanski           0        Zap2it.com   \n",
       "54429           2/5  rotten       Emanuel Levy           0   EmanuelLevy.Com   \n",
       "54430         2.5/5  rotten   Christopher Null           0    Filmcritic.com   \n",
       "54431           3/5   fresh    Nicolas Lacroix           0      Showbizz.net   \n",
       "\n",
       "                     date  \n",
       "0       November 10, 2018  \n",
       "1            May 23, 2018  \n",
       "2         January 4, 2018  \n",
       "3       November 16, 2017  \n",
       "4        October 12, 2017  \n",
       "...                   ...  \n",
       "54427  September 24, 2002  \n",
       "54428  September 21, 2005  \n",
       "54429       July 17, 2005  \n",
       "54430   September 7, 2003  \n",
       "54431   November 12, 2002  \n",
       "\n",
       "[54432 rows x 8 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rt_reviews = rt_reviews.rename(columns = {'id':'movie_id', 'rating':'critic_rating', 'review':'critic_review'})\n",
    "rt_reviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\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>movie_id</th>\n",
       "      <th>critic_review</th>\n",
       "      <th>critic_rating</th>\n",
       "      <th>fresh</th>\n",
       "      <th>critic</th>\n",
       "      <th>top_critic</th>\n",
       "      <th>publisher</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>A distinctly gallows take on contemporary fina...</td>\n",
       "      <td>3/5</td>\n",
       "      <td>fresh</td>\n",
       "      <td>PJ Nabarro</td>\n",
       "      <td>0</td>\n",
       "      <td>Patrick Nabarro</td>\n",
       "      <td>November 10, 2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>It's an allegory in search of a meaning that n...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rotten</td>\n",
       "      <td>Annalee Newitz</td>\n",
       "      <td>0</td>\n",
       "      <td>io9.com</td>\n",
       "      <td>May 23, 2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>... life lived in a bubble in financial dealin...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fresh</td>\n",
       "      <td>Sean Axmaker</td>\n",
       "      <td>0</td>\n",
       "      <td>Stream on Demand</td>\n",
       "      <td>January 4, 2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Continuing along a line introduced in last yea...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fresh</td>\n",
       "      <td>Daniel Kasman</td>\n",
       "      <td>0</td>\n",
       "      <td>MUBI</td>\n",
       "      <td>November 16, 2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>... a perverse twist on neorealism...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fresh</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Cinema Scope</td>\n",
       "      <td>October 12, 2017</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54427</th>\n",
       "      <td>2000</td>\n",
       "      <td>The real charm of this trifle is the deadpan c...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fresh</td>\n",
       "      <td>Laura Sinagra</td>\n",
       "      <td>1</td>\n",
       "      <td>Village Voice</td>\n",
       "      <td>September 24, 2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54428</th>\n",
       "      <td>2000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/5</td>\n",
       "      <td>rotten</td>\n",
       "      <td>Michael Szymanski</td>\n",
       "      <td>0</td>\n",
       "      <td>Zap2it.com</td>\n",
       "      <td>September 21, 2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54429</th>\n",
       "      <td>2000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2/5</td>\n",
       "      <td>rotten</td>\n",
       "      <td>Emanuel Levy</td>\n",
       "      <td>0</td>\n",
       "      <td>EmanuelLevy.Com</td>\n",
       "      <td>July 17, 2005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54430</th>\n",
       "      <td>2000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.5/5</td>\n",
       "      <td>rotten</td>\n",
       "      <td>Christopher Null</td>\n",
       "      <td>0</td>\n",
       "      <td>Filmcritic.com</td>\n",
       "      <td>September 7, 2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54431</th>\n",
       "      <td>2000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3/5</td>\n",
       "      <td>fresh</td>\n",
       "      <td>Nicolas Lacroix</td>\n",
       "      <td>0</td>\n",
       "      <td>Showbizz.net</td>\n",
       "      <td>November 12, 2002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>54432 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       movie_id                                      critic_review  \\\n",
       "0             3  A distinctly gallows take on contemporary fina...   \n",
       "1             3  It's an allegory in search of a meaning that n...   \n",
       "2             3  ... life lived in a bubble in financial dealin...   \n",
       "3             3  Continuing along a line introduced in last yea...   \n",
       "4             3             ... a perverse twist on neorealism...    \n",
       "...         ...                                                ...   \n",
       "54427      2000  The real charm of this trifle is the deadpan c...   \n",
       "54428      2000                                                NaN   \n",
       "54429      2000                                                NaN   \n",
       "54430      2000                                                NaN   \n",
       "54431      2000                                                NaN   \n",
       "\n",
       "      critic_rating   fresh             critic  top_critic         publisher  \\\n",
       "0               3/5   fresh         PJ Nabarro           0   Patrick Nabarro   \n",
       "1               NaN  rotten     Annalee Newitz           0           io9.com   \n",
       "2               NaN   fresh       Sean Axmaker           0  Stream on Demand   \n",
       "3               NaN   fresh      Daniel Kasman           0              MUBI   \n",
       "4               NaN   fresh                NaN           0      Cinema Scope   \n",
       "...             ...     ...                ...         ...               ...   \n",
       "54427           NaN   fresh      Laura Sinagra           1     Village Voice   \n",
       "54428           1/5  rotten  Michael Szymanski           0        Zap2it.com   \n",
       "54429           2/5  rotten       Emanuel Levy           0   EmanuelLevy.Com   \n",
       "54430         2.5/5  rotten   Christopher Null           0    Filmcritic.com   \n",
       "54431           3/5   fresh    Nicolas Lacroix           0      Showbizz.net   \n",
       "\n",
       "                     date  \n",
       "0       November 10, 2018  \n",
       "1            May 23, 2018  \n",
       "2         January 4, 2018  \n",
       "3       November 16, 2017  \n",
       "4        October 12, 2017  \n",
       "...                   ...  \n",
       "54427  September 24, 2002  \n",
       "54428  September 21, 2005  \n",
       "54429       July 17, 2005  \n",
       "54430   September 7, 2003  \n",
       "54431   November 12, 2002  \n",
       "\n",
       "[54432 rows x 8 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rt_reviews"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "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>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>movie_basics</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>directors</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>known_for</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>movie_akas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>movie_ratings</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>persons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>principals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>writers</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            name\n",
       "0   movie_basics\n",
       "1      directors\n",
       "2      known_for\n",
       "3     movie_akas\n",
       "4  movie_ratings\n",
       "5        persons\n",
       "6     principals\n",
       "7        writers"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking the tables in the sql dataset\n",
    "df = \"\"\"\n",
    "\n",
    "SELECT name FROM sqlite_master \n",
    "WHERE type = \"table\"\n",
    ";\n",
    "\"\"\"\n",
    "\n",
    "pd.read_sql (df, conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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>movie_id</th>\n",
       "      <th>primary_title</th>\n",
       "      <th>original_title</th>\n",
       "      <th>start_year</th>\n",
       "      <th>runtime_minutes</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>tt0063540</td>\n",
       "      <td>Sunghursh</td>\n",
       "      <td>Sunghursh</td>\n",
       "      <td>2013</td>\n",
       "      <td>175.0</td>\n",
       "      <td>Action,Crime,Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt0066787</td>\n",
       "      <td>One Day Before the Rainy Season</td>\n",
       "      <td>Ashad Ka Ek Din</td>\n",
       "      <td>2019</td>\n",
       "      <td>114.0</td>\n",
       "      <td>Biography,Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt0069049</td>\n",
       "      <td>The Other Side of the Wind</td>\n",
       "      <td>The Other Side of the Wind</td>\n",
       "      <td>2018</td>\n",
       "      <td>122.0</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt0069204</td>\n",
       "      <td>Sabse Bada Sukh</td>\n",
       "      <td>Sabse Bada Sukh</td>\n",
       "      <td>2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Comedy,Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt0100275</td>\n",
       "      <td>The Wandering Soap Opera</td>\n",
       "      <td>La Telenovela Errante</td>\n",
       "      <td>2017</td>\n",
       "      <td>80.0</td>\n",
       "      <td>Comedy,Drama,Fantasy</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>146139</th>\n",
       "      <td>tt9916538</td>\n",
       "      <td>Kuambil Lagi Hatiku</td>\n",
       "      <td>Kuambil Lagi Hatiku</td>\n",
       "      <td>2019</td>\n",
       "      <td>123.0</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146140</th>\n",
       "      <td>tt9916622</td>\n",
       "      <td>Rodolpho Teóphilo - O Legado de um Pioneiro</td>\n",
       "      <td>Rodolpho Teóphilo - O Legado de um Pioneiro</td>\n",
       "      <td>2015</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Documentary</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146141</th>\n",
       "      <td>tt9916706</td>\n",
       "      <td>Dankyavar Danka</td>\n",
       "      <td>Dankyavar Danka</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Comedy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146142</th>\n",
       "      <td>tt9916730</td>\n",
       "      <td>6 Gunn</td>\n",
       "      <td>6 Gunn</td>\n",
       "      <td>2017</td>\n",
       "      <td>116.0</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146143</th>\n",
       "      <td>tt9916754</td>\n",
       "      <td>Chico Albuquerque - Revelações</td>\n",
       "      <td>Chico Albuquerque - Revelações</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Documentary</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>146144 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         movie_id                                primary_title  \\\n",
       "0       tt0063540                                    Sunghursh   \n",
       "1       tt0066787              One Day Before the Rainy Season   \n",
       "2       tt0069049                   The Other Side of the Wind   \n",
       "3       tt0069204                              Sabse Bada Sukh   \n",
       "4       tt0100275                     The Wandering Soap Opera   \n",
       "...           ...                                          ...   \n",
       "146139  tt9916538                          Kuambil Lagi Hatiku   \n",
       "146140  tt9916622  Rodolpho Teóphilo - O Legado de um Pioneiro   \n",
       "146141  tt9916706                              Dankyavar Danka   \n",
       "146142  tt9916730                                       6 Gunn   \n",
       "146143  tt9916754               Chico Albuquerque - Revelações   \n",
       "\n",
       "                                     original_title  start_year  \\\n",
       "0                                         Sunghursh        2013   \n",
       "1                                   Ashad Ka Ek Din        2019   \n",
       "2                        The Other Side of the Wind        2018   \n",
       "3                                   Sabse Bada Sukh        2018   \n",
       "4                             La Telenovela Errante        2017   \n",
       "...                                             ...         ...   \n",
       "146139                          Kuambil Lagi Hatiku        2019   \n",
       "146140  Rodolpho Teóphilo - O Legado de um Pioneiro        2015   \n",
       "146141                              Dankyavar Danka        2013   \n",
       "146142                                       6 Gunn        2017   \n",
       "146143               Chico Albuquerque - Revelações        2013   \n",
       "\n",
       "        runtime_minutes                genres  \n",
       "0                 175.0    Action,Crime,Drama  \n",
       "1                 114.0       Biography,Drama  \n",
       "2                 122.0                 Drama  \n",
       "3                   NaN          Comedy,Drama  \n",
       "4                  80.0  Comedy,Drama,Fantasy  \n",
       "...                 ...                   ...  \n",
       "146139            123.0                 Drama  \n",
       "146140              NaN           Documentary  \n",
       "146141              NaN                Comedy  \n",
       "146142            116.0                  None  \n",
       "146143              NaN           Documentary  \n",
       "\n",
       "[146144 rows x 6 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Examaning The Movie_basics table (imdb)\n",
    "\n",
    "df = \"\"\"\n",
    "\n",
    "SELECT *\n",
    "FROM movie_basics\n",
    ";\n",
    "\"\"\"\n",
    "\n",
    "pd.read_sql (df, conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 146144 entries, 0 to 146143\n",
      "Data columns (total 6 columns):\n",
      " #   Column           Non-Null Count   Dtype  \n",
      "---  ------           --------------   -----  \n",
      " 0   movie_id         146144 non-null  object \n",
      " 1   primary_title    146144 non-null  object \n",
      " 2   original_title   146123 non-null  object \n",
      " 3   start_year       146144 non-null  int64  \n",
      " 4   runtime_minutes  114405 non-null  float64\n",
      " 5   genres           140736 non-null  object \n",
      "dtypes: float64(1), int64(1), object(4)\n",
      "memory usage: 6.7+ MB\n"
     ]
    }
   ],
   "source": [
    "pd.read_sql (df, conn).info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "movie_id               0\n",
       "primary_title          0\n",
       "original_title        21\n",
       "start_year             0\n",
       "runtime_minutes    31739\n",
       "genres              5408\n",
       "dtype: int64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_sql (df, conn).isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Above table shows that the movie_basics table has Nan Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
       "      <th>averagerating</th>\n",
       "      <th>numvotes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>tt10356526</td>\n",
       "      <td>8.3</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt10384606</td>\n",
       "      <td>8.9</td>\n",
       "      <td>559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt1042974</td>\n",
       "      <td>6.4</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt1043726</td>\n",
       "      <td>4.2</td>\n",
       "      <td>50352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt1060240</td>\n",
       "      <td>6.5</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73851</th>\n",
       "      <td>tt9805820</td>\n",
       "      <td>8.1</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73852</th>\n",
       "      <td>tt9844256</td>\n",
       "      <td>7.5</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73853</th>\n",
       "      <td>tt9851050</td>\n",
       "      <td>4.7</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73854</th>\n",
       "      <td>tt9886934</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73855</th>\n",
       "      <td>tt9894098</td>\n",
       "      <td>6.3</td>\n",
       "      <td>128</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>73856 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         movie_id  averagerating  numvotes\n",
       "0      tt10356526            8.3        31\n",
       "1      tt10384606            8.9       559\n",
       "2       tt1042974            6.4        20\n",
       "3       tt1043726            4.2     50352\n",
       "4       tt1060240            6.5        21\n",
       "...           ...            ...       ...\n",
       "73851   tt9805820            8.1        25\n",
       "73852   tt9844256            7.5        24\n",
       "73853   tt9851050            4.7        14\n",
       "73854   tt9886934            7.0         5\n",
       "73855   tt9894098            6.3       128\n",
       "\n",
       "[73856 rows x 3 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Examanining the movie_ratings\n",
    "\n",
    "df = \"\"\"\n",
    "\n",
    "SELECT *\n",
    "FROM movie_ratings\n",
    ";\n",
    "\"\"\"\n",
    "\n",
    "pd.read_sql (df, conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 73856 entries, 0 to 73855\n",
      "Data columns (total 3 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   movie_id       73856 non-null  object \n",
      " 1   averagerating  73856 non-null  float64\n",
      " 2   numvotes       73856 non-null  int64  \n",
      "dtypes: float64(1), int64(1), object(1)\n",
      "memory usage: 1.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df = \"\"\"\n",
    "\n",
    "SELECT *\n",
    "FROM movie_ratings\n",
    ";\n",
    "\"\"\"\n",
    "\n",
    "pd.read_sql (df, conn).info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Preparing Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we use the data obtained from our Data Undertanding to prepare them for further Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on the Data Understanding and My objectives, i have decided to focus on some few datasets that would give me the required analysis for my desired outcome. Ill therfore merge two datasets that share a common id and attribute to analyse them further."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "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>movie_id</th>\n",
       "      <th>primary_title</th>\n",
       "      <th>original_title</th>\n",
       "      <th>start_year</th>\n",
       "      <th>runtime_minutes</th>\n",
       "      <th>genres</th>\n",
       "      <th>averagerating</th>\n",
       "      <th>numvotes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>tt0063540</td>\n",
       "      <td>Sunghursh</td>\n",
       "      <td>Sunghursh</td>\n",
       "      <td>2013</td>\n",
       "      <td>175.0</td>\n",
       "      <td>Action,Crime,Drama</td>\n",
       "      <td>7.0</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt0066787</td>\n",
       "      <td>One Day Before the Rainy Season</td>\n",
       "      <td>Ashad Ka Ek Din</td>\n",
       "      <td>2019</td>\n",
       "      <td>114.0</td>\n",
       "      <td>Biography,Drama</td>\n",
       "      <td>7.2</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt0069049</td>\n",
       "      <td>The Other Side of the Wind</td>\n",
       "      <td>The Other Side of the Wind</td>\n",
       "      <td>2018</td>\n",
       "      <td>122.0</td>\n",
       "      <td>Drama</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt0069204</td>\n",
       "      <td>Sabse Bada Sukh</td>\n",
       "      <td>Sabse Bada Sukh</td>\n",
       "      <td>2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Comedy,Drama</td>\n",
       "      <td>6.1</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt0100275</td>\n",
       "      <td>The Wandering Soap Opera</td>\n",
       "      <td>La Telenovela Errante</td>\n",
       "      <td>2017</td>\n",
       "      <td>80.0</td>\n",
       "      <td>Comedy,Drama,Fantasy</td>\n",
       "      <td>6.5</td>\n",
       "      <td>119</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73851</th>\n",
       "      <td>tt9913084</td>\n",
       "      <td>Diabolik sono io</td>\n",
       "      <td>Diabolik sono io</td>\n",
       "      <td>2019</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>6.2</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73852</th>\n",
       "      <td>tt9914286</td>\n",
       "      <td>Sokagin Çocuklari</td>\n",
       "      <td>Sokagin Çocuklari</td>\n",
       "      <td>2019</td>\n",
       "      <td>98.0</td>\n",
       "      <td>Drama,Family</td>\n",
       "      <td>8.7</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73853</th>\n",
       "      <td>tt9914642</td>\n",
       "      <td>Albatross</td>\n",
       "      <td>Albatross</td>\n",
       "      <td>2017</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73854</th>\n",
       "      <td>tt9914942</td>\n",
       "      <td>La vida sense la Sara Amat</td>\n",
       "      <td>La vida sense la Sara Amat</td>\n",
       "      <td>2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>6.6</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73855</th>\n",
       "      <td>tt9916160</td>\n",
       "      <td>Drømmeland</td>\n",
       "      <td>Drømmeland</td>\n",
       "      <td>2019</td>\n",
       "      <td>72.0</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>6.5</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>73856 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        movie_id                    primary_title              original_title  \\\n",
       "0      tt0063540                        Sunghursh                   Sunghursh   \n",
       "1      tt0066787  One Day Before the Rainy Season             Ashad Ka Ek Din   \n",
       "2      tt0069049       The Other Side of the Wind  The Other Side of the Wind   \n",
       "3      tt0069204                  Sabse Bada Sukh             Sabse Bada Sukh   \n",
       "4      tt0100275         The Wandering Soap Opera       La Telenovela Errante   \n",
       "...          ...                              ...                         ...   \n",
       "73851  tt9913084                 Diabolik sono io            Diabolik sono io   \n",
       "73852  tt9914286                Sokagin Çocuklari           Sokagin Çocuklari   \n",
       "73853  tt9914642                        Albatross                   Albatross   \n",
       "73854  tt9914942       La vida sense la Sara Amat  La vida sense la Sara Amat   \n",
       "73855  tt9916160                       Drømmeland                  Drømmeland   \n",
       "\n",
       "       start_year  runtime_minutes                genres  averagerating  \\\n",
       "0            2013            175.0    Action,Crime,Drama            7.0   \n",
       "1            2019            114.0       Biography,Drama            7.2   \n",
       "2            2018            122.0                 Drama            6.9   \n",
       "3            2018              NaN          Comedy,Drama            6.1   \n",
       "4            2017             80.0  Comedy,Drama,Fantasy            6.5   \n",
       "...           ...              ...                   ...            ...   \n",
       "73851        2019             75.0           Documentary            6.2   \n",
       "73852        2019             98.0          Drama,Family            8.7   \n",
       "73853        2017              NaN           Documentary            8.5   \n",
       "73854        2019              NaN                  None            6.6   \n",
       "73855        2019             72.0           Documentary            6.5   \n",
       "\n",
       "       numvotes  \n",
       "0            77  \n",
       "1            43  \n",
       "2          4517  \n",
       "3            13  \n",
       "4           119  \n",
       "...         ...  \n",
       "73851         6  \n",
       "73852       136  \n",
       "73853         8  \n",
       "73854         5  \n",
       "73855        11  \n",
       "\n",
       "[73856 rows x 8 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merging The movie_ratings and movie_basics in the imdb dataset\n",
    "\n",
    "df_M_R = \"\"\" \n",
    "\n",
    "SELECT * \n",
    "    FROM movie_basics\n",
    "    JOIN movie_ratings\n",
    "        USING (movie_id)\n",
    "\n",
    ";\n",
    "\"\"\"\n",
    "\n",
    "pd.read_sql (df_M_R, conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_title</th>\n",
       "      <th>studio</th>\n",
       "      <th>domestic_gross</th>\n",
       "      <th>foreign_gross</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Toy Story 3</td>\n",
       "      <td>BV</td>\n",
       "      <td>415000000.0</td>\n",
       "      <td>652000000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alice in Wonderland (2010)</td>\n",
       "      <td>BV</td>\n",
       "      <td>334200000.0</td>\n",
       "      <td>691300000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Harry Potter and the Deathly Hallows Part 1</td>\n",
       "      <td>WB</td>\n",
       "      <td>296000000.0</td>\n",
       "      <td>664300000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Inception</td>\n",
       "      <td>WB</td>\n",
       "      <td>292600000.0</td>\n",
       "      <td>535700000</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shrek Forever After</td>\n",
       "      <td>P/DW</td>\n",
       "      <td>238700000.0</td>\n",
       "      <td>513900000</td>\n",
       "      <td>2010</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>3275</th>\n",
       "      <td>I Still See You</td>\n",
       "      <td>LGF</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>1500000</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3286</th>\n",
       "      <td>The Catcher Was a Spy</td>\n",
       "      <td>IFC</td>\n",
       "      <td>725000.0</td>\n",
       "      <td>229000</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3309</th>\n",
       "      <td>Time Freak</td>\n",
       "      <td>Grindstone</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>256000</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3342</th>\n",
       "      <td>Reign of Judges: Title of Liberty - Concept Short</td>\n",
       "      <td>Darin Southa</td>\n",
       "      <td>93200.0</td>\n",
       "      <td>5200</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3353</th>\n",
       "      <td>Antonio Lopez 1970: Sex Fashion &amp; Disco</td>\n",
       "      <td>FM</td>\n",
       "      <td>43200.0</td>\n",
       "      <td>30000</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2033 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            movie_title        studio  \\\n",
       "0                                           Toy Story 3            BV   \n",
       "1                            Alice in Wonderland (2010)            BV   \n",
       "2           Harry Potter and the Deathly Hallows Part 1            WB   \n",
       "3                                             Inception            WB   \n",
       "4                                   Shrek Forever After          P/DW   \n",
       "...                                                 ...           ...   \n",
       "3275                                    I Still See You           LGF   \n",
       "3286                              The Catcher Was a Spy           IFC   \n",
       "3309                                         Time Freak    Grindstone   \n",
       "3342  Reign of Judges: Title of Liberty - Concept Short  Darin Southa   \n",
       "3353            Antonio Lopez 1970: Sex Fashion & Disco            FM   \n",
       "\n",
       "      domestic_gross foreign_gross  year  \n",
       "0        415000000.0     652000000  2010  \n",
       "1        334200000.0     691300000  2010  \n",
       "2        296000000.0     664300000  2010  \n",
       "3        292600000.0     535700000  2010  \n",
       "4        238700000.0     513900000  2010  \n",
       "...              ...           ...   ...  \n",
       "3275          1400.0       1500000  2018  \n",
       "3286        725000.0        229000  2018  \n",
       "3309         10000.0        256000  2018  \n",
       "3342         93200.0          5200  2018  \n",
       "3353         43200.0         30000  2018  \n",
       "\n",
       "[2033 rows x 5 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking the overview of the mojo movie dataset\n",
    "bom_movie_gross"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                             Toy Story 3\n",
       "1                              Alice in Wonderland (2010)\n",
       "2             Harry Potter and the Deathly Hallows Part 1\n",
       "3                                               Inception\n",
       "4                                     Shrek Forever After\n",
       "                              ...                        \n",
       "3275                                      I Still See You\n",
       "3286                                The Catcher Was a Spy\n",
       "3309                                           Time Freak\n",
       "3342    Reign of Judges: Title of Liberty - Concept Short\n",
       "3353              Antonio Lopez 1970: Sex Fashion & Disco\n",
       "Name: movie_title, Length: 2033, dtype: object"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bom_movie_gross ['movie_title']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Merging the two Data Frames (df_M_R and bom_movie_gross)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_M_R = pd.read_sql (\"\"\" SELECT *\n",
    "                            FROM movie_basics\n",
    "                            JOIN movie_ratings\n",
    "                                USING (movie_id)\n",
    "                    \"\"\", conn\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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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>movie_id</th>\n",
       "      <th>primary_title</th>\n",
       "      <th>original_title</th>\n",
       "      <th>start_year</th>\n",
       "      <th>runtime_minutes</th>\n",
       "      <th>genres</th>\n",
       "      <th>averagerating</th>\n",
       "      <th>numvotes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>tt0063540</td>\n",
       "      <td>Sunghursh</td>\n",
       "      <td>Sunghursh</td>\n",
       "      <td>2013</td>\n",
       "      <td>175.0</td>\n",
       "      <td>Action,Crime,Drama</td>\n",
       "      <td>7.0</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt0066787</td>\n",
       "      <td>One Day Before the Rainy Season</td>\n",
       "      <td>Ashad Ka Ek Din</td>\n",
       "      <td>2019</td>\n",
       "      <td>114.0</td>\n",
       "      <td>Biography,Drama</td>\n",
       "      <td>7.2</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt0069049</td>\n",
       "      <td>The Other Side of the Wind</td>\n",
       "      <td>The Other Side of the Wind</td>\n",
       "      <td>2018</td>\n",
       "      <td>122.0</td>\n",
       "      <td>Drama</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt0069204</td>\n",
       "      <td>Sabse Bada Sukh</td>\n",
       "      <td>Sabse Bada Sukh</td>\n",
       "      <td>2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Comedy,Drama</td>\n",
       "      <td>6.1</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt0100275</td>\n",
       "      <td>The Wandering Soap Opera</td>\n",
       "      <td>La Telenovela Errante</td>\n",
       "      <td>2017</td>\n",
       "      <td>80.0</td>\n",
       "      <td>Comedy,Drama,Fantasy</td>\n",
       "      <td>6.5</td>\n",
       "      <td>119</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73851</th>\n",
       "      <td>tt9913084</td>\n",
       "      <td>Diabolik sono io</td>\n",
       "      <td>Diabolik sono io</td>\n",
       "      <td>2019</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>6.2</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73852</th>\n",
       "      <td>tt9914286</td>\n",
       "      <td>Sokagin Çocuklari</td>\n",
       "      <td>Sokagin Çocuklari</td>\n",
       "      <td>2019</td>\n",
       "      <td>98.0</td>\n",
       "      <td>Drama,Family</td>\n",
       "      <td>8.7</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73853</th>\n",
       "      <td>tt9914642</td>\n",
       "      <td>Albatross</td>\n",
       "      <td>Albatross</td>\n",
       "      <td>2017</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73854</th>\n",
       "      <td>tt9914942</td>\n",
       "      <td>La vida sense la Sara Amat</td>\n",
       "      <td>La vida sense la Sara Amat</td>\n",
       "      <td>2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>6.6</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73855</th>\n",
       "      <td>tt9916160</td>\n",
       "      <td>Drømmeland</td>\n",
       "      <td>Drømmeland</td>\n",
       "      <td>2019</td>\n",
       "      <td>72.0</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>6.5</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>73856 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        movie_id                    primary_title              original_title  \\\n",
       "0      tt0063540                        Sunghursh                   Sunghursh   \n",
       "1      tt0066787  One Day Before the Rainy Season             Ashad Ka Ek Din   \n",
       "2      tt0069049       The Other Side of the Wind  The Other Side of the Wind   \n",
       "3      tt0069204                  Sabse Bada Sukh             Sabse Bada Sukh   \n",
       "4      tt0100275         The Wandering Soap Opera       La Telenovela Errante   \n",
       "...          ...                              ...                         ...   \n",
       "73851  tt9913084                 Diabolik sono io            Diabolik sono io   \n",
       "73852  tt9914286                Sokagin Çocuklari           Sokagin Çocuklari   \n",
       "73853  tt9914642                        Albatross                   Albatross   \n",
       "73854  tt9914942       La vida sense la Sara Amat  La vida sense la Sara Amat   \n",
       "73855  tt9916160                       Drømmeland                  Drømmeland   \n",
       "\n",
       "       start_year  runtime_minutes                genres  averagerating  \\\n",
       "0            2013            175.0    Action,Crime,Drama            7.0   \n",
       "1            2019            114.0       Biography,Drama            7.2   \n",
       "2            2018            122.0                 Drama            6.9   \n",
       "3            2018              NaN          Comedy,Drama            6.1   \n",
       "4            2017             80.0  Comedy,Drama,Fantasy            6.5   \n",
       "...           ...              ...                   ...            ...   \n",
       "73851        2019             75.0           Documentary            6.2   \n",
       "73852        2019             98.0          Drama,Family            8.7   \n",
       "73853        2017              NaN           Documentary            8.5   \n",
       "73854        2019              NaN                  None            6.6   \n",
       "73855        2019             72.0           Documentary            6.5   \n",
       "\n",
       "       numvotes  \n",
       "0            77  \n",
       "1            43  \n",
       "2          4517  \n",
       "3            13  \n",
       "4           119  \n",
       "...         ...  \n",
       "73851         6  \n",
       "73852       136  \n",
       "73853         8  \n",
       "73854         5  \n",
       "73855        11  \n",
       "\n",
       "[73856 rows x 8 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Previewing the new DataFrame\n",
    "df_M_R"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
       "      <th>primary_title</th>\n",
       "      <th>start_year</th>\n",
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       "      <th>0</th>\n",
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       "      <td>Sunghursh</td>\n",
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       "      <td>Action,Crime,Drama</td>\n",
       "      <td>7.0</td>\n",
       "      <td>77</td>\n",
       "      <td>Sunghursh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt0066787</td>\n",
       "      <td>One Day Before the Rainy Season</td>\n",
       "      <td>2019</td>\n",
       "      <td>114.0</td>\n",
       "      <td>Biography,Drama</td>\n",
       "      <td>7.2</td>\n",
       "      <td>43</td>\n",
       "      <td>Ashad Ka Ek Din</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt0069049</td>\n",
       "      <td>The Other Side of the Wind</td>\n",
       "      <td>2018</td>\n",
       "      <td>122.0</td>\n",
       "      <td>Drama</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4517</td>\n",
       "      <td>The Other Side of the Wind</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt0069204</td>\n",
       "      <td>Sabse Bada Sukh</td>\n",
       "      <td>2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Comedy,Drama</td>\n",
       "      <td>6.1</td>\n",
       "      <td>13</td>\n",
       "      <td>Sabse Bada Sukh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt0100275</td>\n",
       "      <td>The Wandering Soap Opera</td>\n",
       "      <td>2017</td>\n",
       "      <td>80.0</td>\n",
       "      <td>Comedy,Drama,Fantasy</td>\n",
       "      <td>6.5</td>\n",
       "      <td>119</td>\n",
       "      <td>La Telenovela Errante</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <th>73851</th>\n",
       "      <td>tt9913084</td>\n",
       "      <td>Diabolik sono io</td>\n",
       "      <td>2019</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>6.2</td>\n",
       "      <td>6</td>\n",
       "      <td>Diabolik sono io</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73852</th>\n",
       "      <td>tt9914286</td>\n",
       "      <td>Sokagin Çocuklari</td>\n",
       "      <td>2019</td>\n",
       "      <td>98.0</td>\n",
       "      <td>Drama,Family</td>\n",
       "      <td>8.7</td>\n",
       "      <td>136</td>\n",
       "      <td>Sokagin Çocuklari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73853</th>\n",
       "      <td>tt9914642</td>\n",
       "      <td>Albatross</td>\n",
       "      <td>2017</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8</td>\n",
       "      <td>Albatross</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73854</th>\n",
       "      <td>tt9914942</td>\n",
       "      <td>La vida sense la Sara Amat</td>\n",
       "      <td>2019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>6.6</td>\n",
       "      <td>5</td>\n",
       "      <td>La vida sense la Sara Amat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73855</th>\n",
       "      <td>tt9916160</td>\n",
       "      <td>Drømmeland</td>\n",
       "      <td>2019</td>\n",
       "      <td>72.0</td>\n",
       "      <td>Documentary</td>\n",
       "      <td>6.5</td>\n",
       "      <td>11</td>\n",
       "      <td>Drømmeland</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>73856 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        movie_id                    primary_title  start_year  \\\n",
       "0      tt0063540                        Sunghursh        2013   \n",
       "1      tt0066787  One Day Before the Rainy Season        2019   \n",
       "2      tt0069049       The Other Side of the Wind        2018   \n",
       "3      tt0069204                  Sabse Bada Sukh        2018   \n",
       "4      tt0100275         The Wandering Soap Opera        2017   \n",
       "...          ...                              ...         ...   \n",
       "73851  tt9913084                 Diabolik sono io        2019   \n",
       "73852  tt9914286                Sokagin Çocuklari        2019   \n",
       "73853  tt9914642                        Albatross        2017   \n",
       "73854  tt9914942       La vida sense la Sara Amat        2019   \n",
       "73855  tt9916160                       Drømmeland        2019   \n",
       "\n",
       "       runtime_minutes                genres  averagerating  numvotes  \\\n",
       "0                175.0    Action,Crime,Drama            7.0        77   \n",
       "1                114.0       Biography,Drama            7.2        43   \n",
       "2                122.0                 Drama            6.9      4517   \n",
       "3                  NaN          Comedy,Drama            6.1        13   \n",
       "4                 80.0  Comedy,Drama,Fantasy            6.5       119   \n",
       "...                ...                   ...            ...       ...   \n",
       "73851             75.0           Documentary            6.2         6   \n",
       "73852             98.0          Drama,Family            8.7       136   \n",
       "73853              NaN           Documentary            8.5         8   \n",
       "73854              NaN                  None            6.6         5   \n",
       "73855             72.0           Documentary            6.5        11   \n",
       "\n",
       "                      movie_title  \n",
       "0                       Sunghursh  \n",
       "1                 Ashad Ka Ek Din  \n",
       "2      The Other Side of the Wind  \n",
       "3                 Sabse Bada Sukh  \n",
       "4           La Telenovela Errante  \n",
       "...                           ...  \n",
       "73851            Diabolik sono io  \n",
       "73852           Sokagin Çocuklari  \n",
       "73853                   Albatross  \n",
       "73854  La vida sense la Sara Amat  \n",
       "73855                  Drømmeland  \n",
       "\n",
       "[73856 rows x 8 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creating a common column in the df_m_r dataset\n",
    "df_M_R[\"movie_title\"] = df_M_R[\"original_title\"]\n",
    "df_M_R.drop(\"original_title\", axis=1, inplace=True)\n",
    "df_M_R"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Merging the bom_gross dataset with the df_m_r dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
       "      <th>primary_title</th>\n",
       "      <th>start_year</th>\n",
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       "      <td>tt0337692</td>\n",
       "      <td>On the Road</td>\n",
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       "      <td>124.0</td>\n",
       "      <td>Adventure,Drama,Romance</td>\n",
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       "      <td>On the Road</td>\n",
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       "      <td>89.0</td>\n",
       "      <td>Drama</td>\n",
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       "      <td>On the Road</td>\n",
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       "      <td>127</td>\n",
       "      <td>On the Road</td>\n",
       "      <td>IFC</td>\n",
       "      <td>744000.0</td>\n",
       "      <td>8000000</td>\n",
       "      <td>2012</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt0359950</td>\n",
       "      <td>The Secret Life of Walter Mitty</td>\n",
       "      <td>2013</td>\n",
       "      <td>114.0</td>\n",
       "      <td>Adventure,Comedy,Drama</td>\n",
       "      <td>7.3</td>\n",
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       "      <td>The Secret Life of Walter Mitty</td>\n",
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       "      <td>129900000</td>\n",
       "      <td>2013</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt0365907</td>\n",
       "      <td>A Walk Among the Tombstones</td>\n",
       "      <td>2014</td>\n",
       "      <td>114.0</td>\n",
       "      <td>Action,Crime,Drama</td>\n",
       "      <td>6.5</td>\n",
       "      <td>105116</td>\n",
       "      <td>A Walk Among the Tombstones</td>\n",
       "      <td>Uni.</td>\n",
       "      <td>26300000.0</td>\n",
       "      <td>26900000</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>1566</th>\n",
       "      <td>tt7690670</td>\n",
       "      <td>SuperFly</td>\n",
       "      <td>2018</td>\n",
       "      <td>116.0</td>\n",
       "      <td>Action,Crime,Thriller</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4753</td>\n",
       "      <td>Superfly</td>\n",
       "      <td>Sony</td>\n",
       "      <td>20500000.0</td>\n",
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       "    <tr>\n",
       "      <th>1567</th>\n",
       "      <td>tt7784604</td>\n",
       "      <td>Hereditary</td>\n",
       "      <td>2018</td>\n",
       "      <td>127.0</td>\n",
       "      <td>Drama,Horror,Mystery</td>\n",
       "      <td>7.3</td>\n",
       "      <td>151571</td>\n",
       "      <td>Hereditary</td>\n",
       "      <td>A24</td>\n",
       "      <td>44100000.0</td>\n",
       "      <td>35300000</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1568</th>\n",
       "      <td>tt8011712</td>\n",
       "      <td>The Past</td>\n",
       "      <td>2018</td>\n",
       "      <td>120.0</td>\n",
       "      <td>Drama,Horror</td>\n",
       "      <td>7.4</td>\n",
       "      <td>54</td>\n",
       "      <td>The Past</td>\n",
       "      <td>SPC</td>\n",
       "      <td>1300000.0</td>\n",
       "      <td>9300000</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1569</th>\n",
       "      <td>tt8097306</td>\n",
       "      <td>Nobody's Fool</td>\n",
       "      <td>2018</td>\n",
       "      <td>110.0</td>\n",
       "      <td>Comedy,Drama,Romance</td>\n",
       "      <td>4.6</td>\n",
       "      <td>3618</td>\n",
       "      <td>Nobody's Fool</td>\n",
       "      <td>Par.</td>\n",
       "      <td>31700000.0</td>\n",
       "      <td>1800000</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1570</th>\n",
       "      <td>tt9151704</td>\n",
       "      <td>Burn the Stage: The Movie</td>\n",
       "      <td>2018</td>\n",
       "      <td>84.0</td>\n",
       "      <td>Documentary,Music</td>\n",
       "      <td>8.8</td>\n",
       "      <td>2067</td>\n",
       "      <td>Burn the Stage: The Movie</td>\n",
       "      <td>Trafalgar</td>\n",
       "      <td>4200000.0</td>\n",
       "      <td>16100000</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1571 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       movie_id                    primary_title  start_year  runtime_minutes  \\\n",
       "0     tt0337692                      On the Road        2012            124.0   \n",
       "1     tt4339118                      On the Road        2014             89.0   \n",
       "2     tt5647250                      On the Road        2016            121.0   \n",
       "3     tt0359950  The Secret Life of Walter Mitty        2013            114.0   \n",
       "4     tt0365907      A Walk Among the Tombstones        2014            114.0   \n",
       "...         ...                              ...         ...              ...   \n",
       "1566  tt7690670                         SuperFly        2018            116.0   \n",
       "1567  tt7784604                       Hereditary        2018            127.0   \n",
       "1568  tt8011712                         The Past        2018            120.0   \n",
       "1569  tt8097306                    Nobody's Fool        2018            110.0   \n",
       "1570  tt9151704        Burn the Stage: The Movie        2018             84.0   \n",
       "\n",
       "                       genres  averagerating  numvotes  \\\n",
       "0     Adventure,Drama,Romance            6.1     37886   \n",
       "1                       Drama            6.0         6   \n",
       "2                       Drama            5.7       127   \n",
       "3      Adventure,Comedy,Drama            7.3    275300   \n",
       "4          Action,Crime,Drama            6.5    105116   \n",
       "...                       ...            ...       ...   \n",
       "1566    Action,Crime,Thriller            5.0      4753   \n",
       "1567     Drama,Horror,Mystery            7.3    151571   \n",
       "1568             Drama,Horror            7.4        54   \n",
       "1569     Comedy,Drama,Romance            4.6      3618   \n",
       "1570        Documentary,Music            8.8      2067   \n",
       "\n",
       "                          movie_title     studio  domestic_gross  \\\n",
       "0                         On the Road        IFC        744000.0   \n",
       "1                         On the Road        IFC        744000.0   \n",
       "2                         On the Road        IFC        744000.0   \n",
       "3     The Secret Life of Walter Mitty        Fox      58200000.0   \n",
       "4         A Walk Among the Tombstones       Uni.      26300000.0   \n",
       "...                               ...        ...             ...   \n",
       "1566                         Superfly       Sony      20500000.0   \n",
       "1567                       Hereditary        A24      44100000.0   \n",
       "1568                         The Past        SPC       1300000.0   \n",
       "1569                    Nobody's Fool       Par.      31700000.0   \n",
       "1570        Burn the Stage: The Movie  Trafalgar       4200000.0   \n",
       "\n",
       "     foreign_gross  year  \n",
       "0          8000000  2012  \n",
       "1          8000000  2012  \n",
       "2          8000000  2012  \n",
       "3        129900000  2013  \n",
       "4         26900000  2014  \n",
       "...            ...   ...  \n",
       "1566        236000  2018  \n",
       "1567      35300000  2018  \n",
       "1568       9300000  2013  \n",
       "1569       1800000  2018  \n",
       "1570      16100000  2018  \n",
       "\n",
       "[1571 rows x 12 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merging = pd.merge(df_M_R, bom_movie_gross, on = 'movie_title')\n",
    "df_merging"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Observation from the Merged Dataset, Previewing the (Prapared Dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1571 entries, 0 to 1570\n",
      "Data columns (total 12 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   movie_id         1571 non-null   object \n",
      " 1   primary_title    1571 non-null   object \n",
      " 2   start_year       1571 non-null   int64  \n",
      " 3   runtime_minutes  1535 non-null   float64\n",
      " 4   genres           1567 non-null   object \n",
      " 5   averagerating    1571 non-null   float64\n",
      " 6   numvotes         1571 non-null   int64  \n",
      " 7   movie_title      1571 non-null   object \n",
      " 8   studio           1571 non-null   object \n",
      " 9   domestic_gross   1555 non-null   float64\n",
      " 10  foreign_gross    1571 non-null   object \n",
      " 11  year             1571 non-null   int64  \n",
      "dtypes: float64(3), int64(3), object(6)\n",
      "memory usage: 159.6+ KB\n"
     ]
    }
   ],
   "source": [
    "# Previewing the newly created Dataset\n",
    "df_merging.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1571, 12)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merging.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "movie_id            0\n",
       "primary_title       0\n",
       "start_year          0\n",
       "runtime_minutes    36\n",
       "genres              4\n",
       "averagerating       0\n",
       "numvotes            0\n",
       "movie_title         0\n",
       "studio              0\n",
       "domestic_gross     16\n",
       "foreign_gross       0\n",
       "year                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking for missing Values\n",
    "df_merging.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "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>start_year</th>\n",
       "      <th>runtime_minutes</th>\n",
       "      <th>averagerating</th>\n",
       "      <th>numvotes</th>\n",
       "      <th>domestic_gross</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1571.000000</td>\n",
       "      <td>1535.000000</td>\n",
       "      <td>1571.000000</td>\n",
       "      <td>1.571000e+03</td>\n",
       "      <td>1.555000e+03</td>\n",
       "      <td>1571.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2013.645449</td>\n",
       "      <td>107.491205</td>\n",
       "      <td>6.415659</td>\n",
       "      <td>1.050799e+05</td>\n",
       "      <td>5.517393e+07</td>\n",
       "      <td>2013.708466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.645452</td>\n",
       "      <td>19.721689</td>\n",
       "      <td>1.024861</td>\n",
       "      <td>1.582111e+05</td>\n",
       "      <td>8.074955e+07</td>\n",
       "      <td>2.603584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2010.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>5.000000e+00</td>\n",
       "      <td>7.000000e+02</td>\n",
       "      <td>2010.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2011.000000</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>5.850000</td>\n",
       "      <td>9.645500e+03</td>\n",
       "      <td>3.750000e+06</td>\n",
       "      <td>2011.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2014.000000</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>4.789000e+04</td>\n",
       "      <td>2.810000e+07</td>\n",
       "      <td>2014.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2016.000000</td>\n",
       "      <td>118.000000</td>\n",
       "      <td>7.100000</td>\n",
       "      <td>1.256620e+05</td>\n",
       "      <td>6.850000e+07</td>\n",
       "      <td>2016.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2019.000000</td>\n",
       "      <td>184.000000</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>1.841066e+06</td>\n",
       "      <td>7.001000e+08</td>\n",
       "      <td>2018.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        start_year  runtime_minutes  averagerating      numvotes  \\\n",
       "count  1571.000000      1535.000000    1571.000000  1.571000e+03   \n",
       "mean   2013.645449       107.491205       6.415659  1.050799e+05   \n",
       "std       2.645452        19.721689       1.024861  1.582111e+05   \n",
       "min    2010.000000         3.000000       1.600000  5.000000e+00   \n",
       "25%    2011.000000        95.000000       5.850000  9.645500e+03   \n",
       "50%    2014.000000       105.000000       6.500000  4.789000e+04   \n",
       "75%    2016.000000       118.000000       7.100000  1.256620e+05   \n",
       "max    2019.000000       184.000000       9.200000  1.841066e+06   \n",
       "\n",
       "       domestic_gross         year  \n",
       "count    1.555000e+03  1571.000000  \n",
       "mean     5.517393e+07  2013.708466  \n",
       "std      8.074955e+07     2.603584  \n",
       "min      7.000000e+02  2010.000000  \n",
       "25%      3.750000e+06  2011.000000  \n",
       "50%      2.810000e+07  2014.000000  \n",
       "75%      6.850000e+07  2016.000000  \n",
       "max      7.001000e+08  2018.000000  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking on Mathematical implications of the dataset\n",
    "df_merging.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data CLeanining\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To ensure my analysis would be effective, i have to clean the previewed dataset (newly created), that i may use for modelling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "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>Missing Values</th>\n",
       "      <th>Percentage(%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>runtime_minutes</th>\n",
       "      <td>36</td>\n",
       "      <td>2.291534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>domestic_gross</th>\n",
       "      <td>16</td>\n",
       "      <td>1.018460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>genres</th>\n",
       "      <td>4</td>\n",
       "      <td>0.254615</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Missing Values  Percentage(%)\n",
       "runtime_minutes              36       2.291534\n",
       "domestic_gross               16       1.018460\n",
       "genres                        4       0.254615"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# creating a function that will check for missing values\n",
    "\n",
    "def missing_values (data):\n",
    "\n",
    "    miss = data.isnull().sum().sort_values(ascending = False)\n",
    "\n",
    "    #knowing the %centage of missing values\n",
    "    percentage_miss = (data.isnull().sum() / len(data)*100).sort_values(ascending = False)\n",
    "\n",
    "    #store in a frame\n",
    "    missing = pd.DataFrame({\"Missing Values\": miss, \"Percentage(%)\": percentage_miss})\n",
    "\n",
    "    #removing misseing values\n",
    "    missing.drop(missing[missing[\"Percentage(%)\"] == 0].index, inplace=True)\n",
    "\n",
    "    return missing\n",
    "\n",
    "missing_values(df_merging)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "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>Missing Values</th>\n",
       "      <th>Percentage(%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>runtime_minutes</th>\n",
       "      <td>34</td>\n",
       "      <td>2.169751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>domestic_gross</th>\n",
       "      <td>16</td>\n",
       "      <td>1.021059</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Missing Values  Percentage(%)\n",
       "runtime_minutes              34       2.169751\n",
       "domestic_gross               16       1.021059"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dropping the missing values\n",
    "df_merging = df_merging.dropna(subset=['genres'])\n",
    "missing_values(df_merging)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_merging = df_merging.dropna(subset=['runtime_minutes'])\n",
    "df_merging = df_merging.dropna(subset=['domestic_gross'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "movie_id           0\n",
       "primary_title      0\n",
       "start_year         0\n",
       "runtime_minutes    0\n",
       "genres             0\n",
       "averagerating      0\n",
       "numvotes           0\n",
       "movie_title        0\n",
       "studio             0\n",
       "domestic_gross     0\n",
       "foreign_gross      0\n",
       "year               0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking for null values again\n",
    "df_merging.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Now that we have cleaned our Dataset, we will check if the data are related in uniformity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1517 entries, 0 to 1570\n",
      "Data columns (total 12 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   movie_id         1517 non-null   object \n",
      " 1   primary_title    1517 non-null   object \n",
      " 2   start_year       1517 non-null   int64  \n",
      " 3   runtime_minutes  1517 non-null   float64\n",
      " 4   genres           1517 non-null   object \n",
      " 5   averagerating    1517 non-null   float64\n",
      " 6   numvotes         1517 non-null   int64  \n",
      " 7   movie_title      1517 non-null   object \n",
      " 8   studio           1517 non-null   object \n",
      " 9   domestic_gross   1517 non-null   float64\n",
      " 10  foreign_gross    1517 non-null   object \n",
      " 11  year             1517 non-null   int64  \n",
      "dtypes: float64(3), int64(3), object(6)\n",
      "memory usage: 154.1+ KB\n"
     ]
    }
   ],
   "source": [
    "df_merging.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Converting the datatype column of the foreign_gross\n",
    "\n",
    "def replace_data(data, to_replace, value, col):\n",
    "    \"\"\"replace values in the given column\"\"\"\n",
    "    data[col].replace(to_replace, value, inplace = True, regex=True)\n",
    "\n",
    "replace_data(df_merging, \",\", \"\", \"foreign_gross\")\n",
    "\n",
    "df_merging[\"foreign_gross\"] = df_merging[\"foreign_gross\"].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>movie_id</th>\n",
       "      <th>primary_title</th>\n",
       "      <th>start_year</th>\n",
       "      <th>runtime_minutes</th>\n",
       "      <th>genres</th>\n",
       "      <th>averagerating</th>\n",
       "      <th>numvotes</th>\n",
       "      <th>movie_title</th>\n",
       "      <th>studio</th>\n",
       "      <th>domestic_gross</th>\n",
       "      <th>foreign_gross</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>tt0337692</td>\n",
       "      <td>On the Road</td>\n",
       "      <td>2012</td>\n",
       "      <td>124.0</td>\n",
       "      <td>Adventure,Drama,Romance</td>\n",
       "      <td>6.1</td>\n",
       "      <td>37886</td>\n",
       "      <td>On the Road</td>\n",
       "      <td>IFC</td>\n",
       "      <td>744000.0</td>\n",
       "      <td>8000000.0</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>tt4339118</td>\n",
       "      <td>On the Road</td>\n",
       "      <td>2014</td>\n",
       "      <td>89.0</td>\n",
       "      <td>Drama</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6</td>\n",
       "      <td>On the Road</td>\n",
       "      <td>IFC</td>\n",
       "      <td>744000.0</td>\n",
       "      <td>8000000.0</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tt5647250</td>\n",
       "      <td>On the Road</td>\n",
       "      <td>2016</td>\n",
       "      <td>121.0</td>\n",
       "      <td>Drama</td>\n",
       "      <td>5.7</td>\n",
       "      <td>127</td>\n",
       "      <td>On the Road</td>\n",
       "      <td>IFC</td>\n",
       "      <td>744000.0</td>\n",
       "      <td>8000000.0</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tt0359950</td>\n",
       "      <td>The Secret Life of Walter Mitty</td>\n",
       "      <td>2013</td>\n",
       "      <td>114.0</td>\n",
       "      <td>Adventure,Comedy,Drama</td>\n",
       "      <td>7.3</td>\n",
       "      <td>275300</td>\n",
       "      <td>The Secret Life of Walter Mitty</td>\n",
       "      <td>Fox</td>\n",
       "      <td>58200000.0</td>\n",
       "      <td>129900000.0</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tt0365907</td>\n",
       "      <td>A Walk Among the Tombstones</td>\n",
       "      <td>2014</td>\n",
       "      <td>114.0</td>\n",
       "      <td>Action,Crime,Drama</td>\n",
       "      <td>6.5</td>\n",
       "      <td>105116</td>\n",
       "      <td>A Walk Among the Tombstones</td>\n",
       "      <td>Uni.</td>\n",
       "      <td>26300000.0</td>\n",
       "      <td>26900000.0</td>\n",
       "      <td>2014</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566</th>\n",
       "      <td>tt7690670</td>\n",
       "      <td>SuperFly</td>\n",
       "      <td>2018</td>\n",
       "      <td>116.0</td>\n",
       "      <td>Action,Crime,Thriller</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4753</td>\n",
       "      <td>Superfly</td>\n",
       "      <td>Sony</td>\n",
       "      <td>20500000.0</td>\n",
       "      <td>236000.0</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1567</th>\n",
       "      <td>tt7784604</td>\n",
       "      <td>Hereditary</td>\n",
       "      <td>2018</td>\n",
       "      <td>127.0</td>\n",
       "      <td>Drama,Horror,Mystery</td>\n",
       "      <td>7.3</td>\n",
       "      <td>151571</td>\n",
       "      <td>Hereditary</td>\n",
       "      <td>A24</td>\n",
       "      <td>44100000.0</td>\n",
       "      <td>35300000.0</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1568</th>\n",
       "      <td>tt8011712</td>\n",
       "      <td>The Past</td>\n",
       "      <td>2018</td>\n",
       "      <td>120.0</td>\n",
       "      <td>Drama,Horror</td>\n",
       "      <td>7.4</td>\n",
       "      <td>54</td>\n",
       "      <td>The Past</td>\n",
       "      <td>SPC</td>\n",
       "      <td>1300000.0</td>\n",
       "      <td>9300000.0</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1569</th>\n",
       "      <td>tt8097306</td>\n",
       "      <td>Nobody's Fool</td>\n",
       "      <td>2018</td>\n",
       "      <td>110.0</td>\n",
       "      <td>Comedy,Drama,Romance</td>\n",
       "      <td>4.6</td>\n",
       "      <td>3618</td>\n",
       "      <td>Nobody's Fool</td>\n",
       "      <td>Par.</td>\n",
       "      <td>31700000.0</td>\n",
       "      <td>1800000.0</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1570</th>\n",
       "      <td>tt9151704</td>\n",
       "      <td>Burn the Stage: The Movie</td>\n",
       "      <td>2018</td>\n",
       "      <td>84.0</td>\n",
       "      <td>Documentary,Music</td>\n",
       "      <td>8.8</td>\n",
       "      <td>2067</td>\n",
       "      <td>Burn the Stage: The Movie</td>\n",
       "      <td>Trafalgar</td>\n",
       "      <td>4200000.0</td>\n",
       "      <td>16100000.0</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1517 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       movie_id                    primary_title  start_year  runtime_minutes  \\\n",
       "0     tt0337692                      On the Road        2012            124.0   \n",
       "1     tt4339118                      On the Road        2014             89.0   \n",
       "2     tt5647250                      On the Road        2016            121.0   \n",
       "3     tt0359950  The Secret Life of Walter Mitty        2013            114.0   \n",
       "4     tt0365907      A Walk Among the Tombstones        2014            114.0   \n",
       "...         ...                              ...         ...              ...   \n",
       "1566  tt7690670                         SuperFly        2018            116.0   \n",
       "1567  tt7784604                       Hereditary        2018            127.0   \n",
       "1568  tt8011712                         The Past        2018            120.0   \n",
       "1569  tt8097306                    Nobody's Fool        2018            110.0   \n",
       "1570  tt9151704        Burn the Stage: The Movie        2018             84.0   \n",
       "\n",
       "                       genres  averagerating  numvotes  \\\n",
       "0     Adventure,Drama,Romance            6.1     37886   \n",
       "1                       Drama            6.0         6   \n",
       "2                       Drama            5.7       127   \n",
       "3      Adventure,Comedy,Drama            7.3    275300   \n",
       "4          Action,Crime,Drama            6.5    105116   \n",
       "...                       ...            ...       ...   \n",
       "1566    Action,Crime,Thriller            5.0      4753   \n",
       "1567     Drama,Horror,Mystery            7.3    151571   \n",
       "1568             Drama,Horror            7.4        54   \n",
       "1569     Comedy,Drama,Romance            4.6      3618   \n",
       "1570        Documentary,Music            8.8      2067   \n",
       "\n",
       "                          movie_title     studio  domestic_gross  \\\n",
       "0                         On the Road        IFC        744000.0   \n",
       "1                         On the Road        IFC        744000.0   \n",
       "2                         On the Road        IFC        744000.0   \n",
       "3     The Secret Life of Walter Mitty        Fox      58200000.0   \n",
       "4         A Walk Among the Tombstones       Uni.      26300000.0   \n",
       "...                               ...        ...             ...   \n",
       "1566                         Superfly       Sony      20500000.0   \n",
       "1567                       Hereditary        A24      44100000.0   \n",
       "1568                         The Past        SPC       1300000.0   \n",
       "1569                    Nobody's Fool       Par.      31700000.0   \n",
       "1570        Burn the Stage: The Movie  Trafalgar       4200000.0   \n",
       "\n",
       "      foreign_gross  year  \n",
       "0         8000000.0  2012  \n",
       "1         8000000.0  2012  \n",
       "2         8000000.0  2012  \n",
       "3       129900000.0  2013  \n",
       "4        26900000.0  2014  \n",
       "...             ...   ...  \n",
       "1566       236000.0  2018  \n",
       "1567     35300000.0  2018  \n",
       "1568      9300000.0  2013  \n",
       "1569      1800000.0  2018  \n",
       "1570     16100000.0  2018  \n",
       "\n",
       "[1517 rows x 12 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merging"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Removing unnecessary columns : some columns repeat the same information\n",
    "\n",
    "df_merging.drop(columns= ['start_year', 'primary_title', 'runtime_minutes'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "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>genres</th>\n",
       "      <th>averagerating</th>\n",
       "      <th>numvotes</th>\n",
       "      <th>movie_title</th>\n",
       "      <th>studio</th>\n",
       "      <th>domestic_gross</th>\n",
       "      <th>foreign_gross</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>movie_id</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>tt0337692</th>\n",
       "      <td>Adventure,Drama,Romance</td>\n",
       "      <td>6.1</td>\n",
       "      <td>37886</td>\n",
       "      <td>On the Road</td>\n",
       "      <td>IFC</td>\n",
       "      <td>744000.0</td>\n",
       "      <td>8000000.0</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt4339118</th>\n",
       "      <td>Drama</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6</td>\n",
       "      <td>On the Road</td>\n",
       "      <td>IFC</td>\n",
       "      <td>744000.0</td>\n",
       "      <td>8000000.0</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt5647250</th>\n",
       "      <td>Drama</td>\n",
       "      <td>5.7</td>\n",
       "      <td>127</td>\n",
       "      <td>On the Road</td>\n",
       "      <td>IFC</td>\n",
       "      <td>744000.0</td>\n",
       "      <td>8000000.0</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt0359950</th>\n",
       "      <td>Adventure,Comedy,Drama</td>\n",
       "      <td>7.3</td>\n",
       "      <td>275300</td>\n",
       "      <td>The Secret Life of Walter Mitty</td>\n",
       "      <td>Fox</td>\n",
       "      <td>58200000.0</td>\n",
       "      <td>129900000.0</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tt0365907</th>\n",
       "      <td>Action,Crime,Drama</td>\n",
       "      <td>6.5</td>\n",
       "      <td>105116</td>\n",
       "      <td>A Walk Among the Tombstones</td>\n",
       "      <td>Uni.</td>\n",
       "      <td>26300000.0</td>\n",
       "      <td>26900000.0</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            genres  averagerating  numvotes  \\\n",
       "movie_id                                                      \n",
       "tt0337692  Adventure,Drama,Romance            6.1     37886   \n",
       "tt4339118                    Drama            6.0         6   \n",
       "tt5647250                    Drama            5.7       127   \n",
       "tt0359950   Adventure,Comedy,Drama            7.3    275300   \n",
       "tt0365907       Action,Crime,Drama            6.5    105116   \n",
       "\n",
       "                               movie_title studio  domestic_gross  \\\n",
       "movie_id                                                            \n",
       "tt0337692                      On the Road    IFC        744000.0   \n",
       "tt4339118                      On the Road    IFC        744000.0   \n",
       "tt5647250                      On the Road    IFC        744000.0   \n",
       "tt0359950  The Secret Life of Walter Mitty    Fox      58200000.0   \n",
       "tt0365907      A Walk Among the Tombstones   Uni.      26300000.0   \n",
       "\n",
       "           foreign_gross  year  \n",
       "movie_id                        \n",
       "tt0337692      8000000.0  2012  \n",
       "tt4339118      8000000.0  2012  \n",
       "tt5647250      8000000.0  2012  \n",
       "tt0359950    129900000.0  2013  \n",
       "tt0365907     26900000.0  2014  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Changing the Movie_Id to appear as the index fro clearness\n",
    "df_merging.set_index('movie_id', inplace=True)\n",
    "df_merging.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exploratory Data Analysis (EDA)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Here i am grouping Datasets to filter the required key points for my analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "a) Grouping The Dataset\n",
    "Here i took the best rating to start from 7 since there is no higher rating than 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "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>averagerating</th>\n",
       "      <th>numvotes</th>\n",
       "      <th>domestic_gross</th>\n",
       "      <th>foreign_gross</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>484.000000</td>\n",
       "      <td>4.840000e+02</td>\n",
       "      <td>4.840000e+02</td>\n",
       "      <td>4.840000e+02</td>\n",
       "      <td>484.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7.469835</td>\n",
       "      <td>1.978366e+05</td>\n",
       "      <td>8.155925e+07</td>\n",
       "      <td>1.194151e+08</td>\n",
       "      <td>2013.818182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.404631</td>\n",
       "      <td>2.317941e+05</td>\n",
       "      <td>1.125285e+08</td>\n",
       "      <td>1.786713e+08</td>\n",
       "      <td>2.585194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.000000e+00</td>\n",
       "      <td>8.000000e+02</td>\n",
       "      <td>6.000000e+02</td>\n",
       "      <td>2010.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7.200000</td>\n",
       "      <td>2.460550e+04</td>\n",
       "      <td>5.775000e+06</td>\n",
       "      <td>8.375000e+06</td>\n",
       "      <td>2011.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7.400000</td>\n",
       "      <td>1.164990e+05</td>\n",
       "      <td>3.755000e+07</td>\n",
       "      <td>3.560000e+07</td>\n",
       "      <td>2014.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.700000</td>\n",
       "      <td>3.083908e+05</td>\n",
       "      <td>1.156250e+08</td>\n",
       "      <td>1.311750e+08</td>\n",
       "      <td>2016.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>9.200000</td>\n",
       "      <td>1.841066e+06</td>\n",
       "      <td>7.001000e+08</td>\n",
       "      <td>9.464000e+08</td>\n",
       "      <td>2018.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       averagerating      numvotes  domestic_gross  foreign_gross         year\n",
       "count     484.000000  4.840000e+02    4.840000e+02   4.840000e+02   484.000000\n",
       "mean        7.469835  1.978366e+05    8.155925e+07   1.194151e+08  2013.818182\n",
       "std         0.404631  2.317941e+05    1.125285e+08   1.786713e+08     2.585194\n",
       "min         7.000000  6.000000e+00    8.000000e+02   6.000000e+02  2010.000000\n",
       "25%         7.200000  2.460550e+04    5.775000e+06   8.375000e+06  2011.000000\n",
       "50%         7.400000  1.164990e+05    3.755000e+07   3.560000e+07  2014.000000\n",
       "75%         7.700000  3.083908e+05    1.156250e+08   1.311750e+08  2016.000000\n",
       "max         9.200000  1.841066e+06    7.001000e+08   9.464000e+08  2018.000000"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings = df_merging[df_merging['averagerating'] >= 7]\n",
    "ratings.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 484 entries, tt0359950 to tt9151704\n",
      "Data columns (total 8 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   genres          484 non-null    object \n",
      " 1   averagerating   484 non-null    float64\n",
      " 2   numvotes        484 non-null    int64  \n",
      " 3   movie_title     484 non-null    object \n",
      " 4   studio          484 non-null    object \n",
      " 5   domestic_gross  484 non-null    float64\n",
      " 6   foreign_gross   484 non-null    float64\n",
      " 7   year            484 non-null    int64  \n",
      "dtypes: float64(3), int64(2), object(3)\n",
      "memory usage: 34.0+ KB\n"
     ]
    }
   ],
   "source": [
    "ratings.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Establishing a relation between movie_title and the number of audience viewing them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1fCmNMcYYY4wxZiQ0TaiKiI8i4pPy+w5gHElTkZapmWq7zgi81YQiGmOMMcYYY8woaZpQJWlaSSq/lypleQ94GphL0mySxgU2A25pVjmNMcYYY4wxZmQM6a0TS7oKWAWYStKbwOHAOAARcS7wXWAXSV8AnwGbRUQAX0jaDbgbGAxcGBG/661yGmOMMcYYY0x36DWhKiI2H8X2M4EzO9l2B3BHb5TLGGOMMcYYY3qSZmf/M8YYY4wxxph+jYUqY4wxxhhjjOkGFqqMMcYYY4wxphtYqDLGGGOMMcaYbmChyhhjjDHGGGO6gYUqY4wxxhhjjOkGFqqMMcYYY4wxphtYqDLGGGOMMcaYbmChyhhjjDHGGGO6wZBmF2Bs5Z/nHN3U/592l0Oa+v/GGGOMMcYMFGypMsYYY4wxxphuYKHKGGOMMcYYY7qBhSpjjDHGGGOM6QYWqowxxhhjjDGmG1ioMsYYY4wxxphuYKHKGGOMMcYYY7qBhSpjjDHGGGOM6QYWqowxxhhjjDGmG1ioMsYYY4wxxphuYKHKGGOMMcYYY7rBkGYXwLQmfzhr/ab997y73ty0/zbGGGOMMWZ0saXKGGOMMcYYY7qBhSpjjDHGGGOM6QajFKokfU/SJOX3IZJukLR4F467UNLbkl7qZPuWkl4on8clLVLb9oakFyU9L+mZ0bkgY4wxxhhjjOlLumKpOjQiPpa0AvBt4BLgnC4cdzGw5ki2vw6sHBELA0cBwxu2rxoRi0bEkl34L2OMMcYYY4xpCl0Rqr4s3+sA50TEzcC4ozooIh4B3h/J9scj4t9l8Ulgxi6UxRhjjDHGGGNaiq4IVX+XdB6wCXCHpPG6eNzosD1wZ205gHskPStpx5EdKGlHSc9Ieuadd97p4WIZY4wxxhhjzMjpinC0CXA3sGZEfABMAezbUwWQtCopVO1fW718RCwOrAXsKmmlzo6PiOERsWRELDls2LCeKpYxxhhjjDHGdIlRClUR8R/gbWCFsuoL4JWe+HNJCwPnA+tHxHu1/3yrfL8N3Ags1RP/Z4wxxhhjjDE9TVey/x1OWpEOLKvGAS7v7h9Lmhm4Adg6Iv5UWz9RLdvgRMAaQIcZBI0xxhhjjDGm2Qzpwj4bAosBv4G0IlVCz8iQdBWwCjCVpDeBw0mBjIg4FzgMmBI4WxLAFyXT3zTAjWXdEODKiLhr9C7LGGOMMcYYY/qGrghVn0dESAoYYT0aJRGx+Si27wDs0MH614BFvn6EMclDv1inqf+/yg9vb+r/G2OMMcaY1qIriSquLdn/hkr6IXAfGQdljDHGGGOMMWM9o7RURcRJklYHPgLmAQ6LiHt7vWTGGGOMMcYY0w8YpVAl6fiI2B+4t4N1xhhjjDHGGDNW0xX3v9U7WLdWTxfEGGOMMcYYY/ojnVqqJO0C/AiYXdIL1WpgYuCxPiibMcYYY4wxxrQ8I3P/uxK4EzgOOKC2/uOIeL9XS2WMMcYYY4wx/YROhaqI+BD4ENhc0iLAimXTo4CFKmOMMcYYY4yhCzFVkn4MXAFMXT6XS9q9twtmjDHGGGOMMf2Brkz+uwOwdER8Cpn5D3gCOKM3C2aMMcYYY4wx/YGuZP8T8GVt+cuyzhhjjDHGGGPGerpiqboIeErSjWV5A+CCXiuRMcYYY4wxxvQjRpZSfR/g6og4RdJDwAqkhWrbiHiuj8pnjDHGGGOMMS3NyCxVMwBPSHoduAq4MiLe7ZtiGWOMMcYYY0z/oNOYqojYC5gZOBRYGHhB0p2StpE0SV8V0BhjjDHGGGNamZEmqojk4YjYBZgJOBXYC/hXH5TNGGOMMcYYY1qeriSqQNJCwGbApsB7wEG9WShjjDHGGGOM6S+MLFHFXKQgtTmZRv1qYI2IeK2PymaMMcYYY4wxLc/ILFV3kwkqNo2IF/uoPMYYY4wxxhjTr+hUqIqI2fuyIMYYY4wxxhjTHxlpogpjjDHGGGOMMSPHQpUxxhhjjDHGdINOhSpJ95fv4/uuOMYYY4wxxhjTvxhZoorpJK0MfEfS1YDqGyPiN71aMmP6KdddtGZT//+7297V1P83xhhjjBnbGJlQdRhwADAjcErDtgBWG9mJJV0IrAu8HRELdrBdwGnA2sB/gB9UgpqkNcu2wcD5EfGzLl2NMcYYY4wxxvQxI8v+dx1wnaRDI+KoMTj3xcCZwKWdbF8LmKt8lgbOAZaWNBg4C1gdeBN4WtItEfH7MSiDMcYYY4wxxvQqI7NUARARR0n6DrBSWfVQRNzWheMekTTrSHZZH7g0IgJ4UtJQSdMBswKvVpMMF9fD9QELVcYYY4wxxpiWY5RClaTjgKWAK8qqPSQtHxEHdvO/ZwD+Vlt+s6zraP3S3fwvY0zhvMu+3bT/3mnru5v238YYY4wxvcUohSpgHWDRiPgKQNIlwHNAd4UqdbAuRrK+45NIOwI7Asw888zdLJIxxhhjjDHGjB5dnadqaO33ZD30328CM9WWZwTeGsn6DomI4RGxZEQsOWzYsB4qmjHGGGOMMcZ0ja5Yqo4DnpP0IGlFWonuW6kAbgF2KzFTSwMfRsQ/JL0DzCVpNuDvwGbAFj3wf8YYY4wxxhjT43QlUcVVkh4CvkEKVftHxD9HdZykq4BVgKkkvQkcDoxTznkucAeZTv1VMqX6tmXbF5J2A+4mU6pfGBG/G+0rM8YYY4wxxpg+oCuWKiLiH6RlqctExOaj2B7Arp1su4MUuowxxhhjjDGmpelqTJUxxhhjjDHGmA7okqXKGGP6gp9e27x07wA/3cQp340xxhgz+ozUUiVpkKSX+qowxhhjjDHGGNPfGKlQVeam+q0kTwBljDHGGGOMMR3QFfe/6YDfSfo18Gm1MiK+02ulMsYYY4wxxph+QleEqiN6vRTGGGOMMcYY00/pyjxVD0uaBZgrIu6TNCE5f5QxxhhjjDHGjPWMMqW6pB8C1wHnlVUzADf1YpmMMcYYY4wxpt/QlXmqdgWWBz4CiIhXgKl7s1DGGGOMMcYY01/oilD1v4j4vFqQNASI3iuSMcYYY4wxxvQfuiJUPSzpIGACSasDvwRu7d1iGWOMMcYYY0z/oCtC1QHAO8CLwE7AHcAhvVkoY4wxxhhjjOkvdCX731eSLgGeIt3+/hgRdv8zxhhjjDHGGLogVElaBzgX+DMgYDZJO0XEnb1dOGOMMcYYY4xpdboy+e/JwKoR8SqApDmA2wELVcYYY4wxxpixnq7EVL1dCVSF14C3e6k8xhhjjDHGGNOv6NRSJWmj8vN3ku4AriVjqr4HPN0HZTPGGGOMMcaYlmdk7n/r1X7/C1i5/H4HmLzXSmSMMcYYY4wx/YhOhaqI2LYvC2KMMa3OWjdv3NT/v3P965v6/8YYY4zpmK5k/5sN2B2Ytb5/RHyn94pljDHGGGOMMf2DrmT/uwm4ALgV+KpXS2OMMcYYY4wx/YyuCFX/jYjTe70kxhhjxpi1bzy6qf9/x4aHNPX/jTHGmGbSFaHqNEmHA/cA/6tWRsRveq1UxhhjjDHGGNNP6IpQtRCwNbAabe5/UZaNMcaYUbLODec09f9v32iXpv6/McaYgU1XhKoNgdkj4vPRPbmkNYHTgMHA+RHxs4bt+wJb1soyHzAsIt6X9AbwMfAl8EVELDm6/2+MMcYYY4wxvU1XhKrfAkOBt0fnxJIGA2cBqwNvAk9LuiUifl/tExEnAieW/dcD9oqI92unWTUi3h2d/zXGGGNGl3Wvu6Jp/33bd7cc9U7GGGNamq4IVdMAf5D0NO1jqkaVUn0p4NWIeA1A0tXA+sDvO9l/c+CqLpTHGGOMMcYYY1qGrghVh4/huWcA/lZbfhNYuqMdJU0IrAnsVlsdwD2SAjgvIoZ3cuyOwI4AM8888xgW1RhjjDHGGGPGjFEKVRHx8BieWx2drpN91wMea3D9Wz4i3pI0NXCvpD9ExCMdlG84MBxgySWX7Oz8xhhjjDHGGNMrDBrVDpI+lvRR+fxX0peSPurCud8EZqotzwi81cm+m9Hg+hcRb5Xvt4EbSXdCY4wxxhhjjGkpRilURcQkETFp+YwPbAyc2YVzPw3MJWk2SeOSgtMtjTtJmgxYGbi5tm4iSZNUv4E1gJe6ckHGGGOMMcYY05d0JaaqHRFxk6QDurDfF5J2A+4mU6pfGBG/k7Rz2X5u2XVD4J6I+LR2+DTAjZKqMl4ZEXeNblmNMcaY/s53rru1qf9/y3fXa+r/G2NMf2CUQpWkjWqLg4Al6Tw2qh0RcQdwR8O6cxuWLwYublj3GrBIV/7DGGOMMc1jw+t/1dT/v3HjFZr6/8YYA12zVNVVVF8Ab5Cp0Y0xxhhjjDFmrKcr2f+27YuCGGOMMcYYY0x/pFOhStJhIzkuIuKoXiiPMcYYY0yPsekNrzbtv6/ZaM6m/bcxpm8ZmaXq0w7WTQRsD0wJWKgyxhhjjBlDzrrxX039/103nGak2++85t0+KsnXWWvTqZr238aMCZ0KVRFxcvW7pDffA9gWuBo4ubPjjDHGGGOM6U2eO//tpv7/YjtM3dT/N63HSGOqJE0B/ATYErgEWDwi/t0XBTPGGGOMMaY/8o8T/t7U/59uvxlGuv1fpz7bRyX5OtPsuUTT/rs3GVlM1YnARsBwYKGI+KTPSmWMMcYYY4wZ63j7zHua+v9T77bGGB03aCTb9gamBw4B3pL0Ufl8LOmjMfo3Y4wxxhhjjBlgjCymamQClzHGGGOMMcYYRm6pMsYYY4wxxhgzCixUGWOMMcYYY0w3sFBljDHGGGOMMd3AQpUxxhhjjDHGdAMLVcYYY4wxxhjTDSxUGWOMMcYYY0w3sFBljDHGGGOMMd3AQpUxxhhjjDHGdAMLVcYYY4wxxhjTDSxUGWOMMcYYY0w3sFBljDHGGGOMMd3AQpUxxhhjjDHGdAMLVcYYY4wxxhjTDSxUGWOMMcYYY0w36FWhStKakv4o6VVJB3SwfRVJH0p6vnwO6+qxxhhjjDHGGNMKDOmtE0saDJwFrA68CTwt6ZaI+H3Dro9GxLpjeKwxxhhjjDHGNJXetFQtBbwaEa9FxOfA1cD6fXCsMcYYY4wxxvQZvSlUzQD8rbb8ZlnXyLKSfivpTkkLjOaxSNpR0jOSnnnnnXd6otzGGGOMMcYY02V6U6hSB+uiYfk3wCwRsQhwBnDTaBybKyOGR8SSEbHksGHDxrSsxhhjjDHGGDNG9KZQ9SYwU215RuCt+g4R8VFEfFJ+3wGMI2mqrhxrjDHGGGOMMa1AbwpVTwNzSZpN0rjAZsAt9R0kTStJ5fdSpTzvdeVYY4wxxhhjjGkFei37X0R8IWk34G5gMHBhRPxO0s5l+7nAd4FdJH0BfAZsFhEBdHhsb5XVGGOMMcYYY8aUXhOqYIRL3x0N686t/T4TOLOrxxpjjDHGGGNMq9Grk/8aY4wxxhhjzEDHQpUxxhhjjDHGdAMLVcYYY4wxxhjTDSxUGWOMMcYYY0w3sFBljDHGGGOMMd3AQpUxxhhjjDHGdAMLVcYYY4wxxhjTDSxUGWOMMcYYY0w3sFBljDHGGGOMMd3AQpUxxhhjjDHGdAMLVcYYY4wxxhjTDSxUGWOMMcYYY0w3sFBljDHGGGOMMd3AQpUxxhhjjDHGdAMLVcYYY4wxxhjTDSxUGWOMMcYYY0w3sFBljDHGGGOMMd3AQpUxxhhjjDHGdAMLVcYYY4wxxhjTDSxUGWOMMcYYY0w3sFBljDHGGGOMMd3AQpUxxhhjjDHGdAMLVcYYY4wxxhjTDXpVqJK0pqQ/SnpV0gEdbN9S0gvl87ikRWrb3pD0oqTnJT3Tm+U0xhhjjDHGmDFlSG+dWNJg4CxgdeBN4GlJt0TE72u7vQ6sHBH/lrQWMBxYurZ91Yh4t7fKaIwxxhhjjDHdpTctVUsBr0bEaxHxOXA1sH59h4h4PCL+XRafBGbsxfIYY4wxxhhjTI/Tm0LVDMDfastvlnWdsT1wZ205gHskPStpx84OkrSjpGckPfPOO+90q8DGGGOMMcYYM7r0mvsfoA7WRYc7SquSQtUKtdXLR8RbkqYG7pX0h4h45GsnjBhOug2y5JJLdnh+Y4wxxhhjjOktetNS9SYwU215RuCtxp0kLQycD6wfEe9V6yPirfL9NnAj6U5ojDHGGGOMMS1FbwpVTwNzSZpN0rjAZsAt9R0kzQzcAGwdEX+qrZ9I0iTVb2AN4KVeLKsxxhhjjDHGjBG95v4XEV9I2g24GxgMXBgRv5O0c9l+LnAYMCVwtiSALyJiSWAa4MaybghwZUTc1VtlNcYYY4wxxpgxpTdjqoiIO4A7GtadW/u9A7BDB8e9BizSuN4YY4wxxhhjWo1enfzXGGOMMcYYYwY6FqqMMcYYY4wxphtYqDLGGGOMMcaYbmChyhhjjDHGGGO6gYUqY4wxxhhjjOkGFqqMMcYYY4wxphtYqDLGGGOMMcaYbmChyhhjjDHGGGO6gYUqY4wxxhhjjOkGFqqMMcYYY4wxphtYqDLGGGOMMcaYbmChyhhjjDHGGGO6gYUqY4wxxhhjjOkGFqqMMcYYY4wxphtYqDLGGGOMMcaYbmChyhhjjDHGGGO6gYUqY4wxxhhjjOkGFqqMMcYYY4wxphtYqDLGGGOMMcaYbmChyhhjjDHGGGO6gYUqY4wxxhhjjOkGFqqMMcYYY4wxphtYqDLGGGOMMcaYbtCrQpWkNSX9UdKrkg7oYLsknV62vyBp8a4ea4wxxhhjjDGtQK8JVZIGA2cBawHzA5tLmr9ht7WAucpnR+Cc0TjWGGOMMcYYY5pOb1qqlgJejYjXIuJz4Gpg/YZ91gcujeRJYKik6bp4rDHGGGOMMcY0HUVE75xY+i6wZkTsUJa3BpaOiN1q+9wG/CwiflWW7wf2B2Yd1bG1c+xIWrkA5gH+2EOXMBXwbg+dqzdw+cacVi4btHb5Wrls4PJ1h1YuG7h83aGVywatXb5WLhu4fN2hlcsGrV2+Vi4b9Hz5ZomIYaPaaUgP/mEj6mBdowTX2T5dOTZXRgwHho9e0UaNpGciYsmePm9P4fKNOa1cNmjt8rVy2cDl6w6tXDZw+bpDK5cNWrt8rVw2cPm6QyuXDVq7fK1cNmhe+XpTqHoTmKm2PCPwVhf3GbcLxxpjjDHGGGNM0+nNmKqngbkkzSZpXGAz4JaGfW4BtilZAJcBPoyIf3TxWGOMMcYYY4xpOr1mqYqILyTtBtwNDAYujIjfSdq5bD8XuANYG3gV+A+w7ciO7a2ydkKPuxT2MC7fmNPKZYPWLl8rlw1cvu7QymUDl687tHLZoLXL18plA5evO7Ry2aC1y9fKZYMmla/XElUYY4wxxhhjzNhAr07+a4wxxhhjjDEDHQtVxhhjjDHGGNMNLFQZ04dIGtzsMrQqkiZqdhmMMWZsRFJHU9kYY0YDC1Wmx5DUY89TT56rFZA0RNLpwFr98dokzSRpuvJ7lp7ugCXtDTzYH+umu4zqmiV9U9IWfVWeZtBYB606wJN0aA+ea5WeOtdApyeUUZLG76GyDJg2StLSkmYGiIho1fdubGIgPV/dpTt1MabPsqSpJa0tabExOd43rwcZmxskSYMj4qvye45unksR8ZWkCSUd093zNZtyPV8ALwM7AAs3uUijhaQJgHmBPSSdA/wY6BGrUvXORMTJwL+B43rivP0BSetImrF6bzrZp6r71SWt3Hel6zsa2o5FIQd4TS1U5/xA0nndPYmkYcBNkr7fA2Ua8ETEl5ImkjQ9jH5fWwTY9cvv7gzUBtWe1f3KVDD9EklnAycBx0o6F1rzvRubxlWShtSerx9XAu/YSG0cOLGkHSR1OVt56VNG+1mWtAKZlXxL4GhJh4/uOSxU9RBjehMHAuXh/1LSpJJuAr4jabwxbQyLxmxK4CjgvYj4c0+Wt4ncA0wOnCBpplHt3CpExGfA28DWwCrAyRHxSU9oj6t3RtKswB+AXcekIesPdDCYW4VsvDvbX6XubwKeAzaXtECvFbBJRMSXAJJ+DhwoaYYmF+lrlPkSAVYGvidpp+6cKyLeATYGDpG0Ylk/1gwex5DdgMth1IP/Dt61RYBdy7GdKjFGRRnkTVCmhpkxIp4c03M1C0njSLoAmITSngNjXCe9SWkDqz5iTUkbSlqi2eXqLcp0QhNJ2h6YLyL+2uwyNYsyDpwCOBcYtyimR0lRfHwpaUpJN0jaX9LaXThuPuBnwCERsSVwOLCApBlGp222UNUD1ISKYZLOk7SnpBmbXa6+ojz8UwE3AA9ExM8j4n9Al90tqodW0mBlbM3xwLLAY2V9v31WS/1sQg4IhgPTAocVbXXLUq/ziPgt2bjdAWxaBoZf9tD/LEcKnHcAOwO7S9q8bBswA80OBnMvA5N1tG/pGKIc93fgRlKw3UHSNL1a0CYg6QhgKmCLiPi7pImbXaY6EfG5pLWAQ4C7gFPK8mhR+orPJc0JfAmcAJwraVa7X42SXwCvSJp7VDsW4WdQ1cZGxGnAW2Ni7a31TVV7+DNgJ+CR+vZ+xITALyNi69KGbwysLOlgSd+D1ulvawLV5sA5wArAxZUiYoByMnA6cAakENzc4vQdtXdNZQx9CjBJRJxd1o/yuSzv/qzAAcBrgEhF2MajOPRj4PSIuKssvwNMCXw2OgaTlnhx+julM5yLbPTfB1YDfiRp8eaWrPfo4OGeEPgv8BtJG0k6Gbhc0uxdOFc7K19EfEo2oP8EFpU0tDvaxWbQQUe7GnBpRFwBLA/MAPykpgFvOUrjtIKkEyTtSbqK3AHMDWwFIGl+SZOPznk7eHYmIIXxuyPicmBz4CxJSw8E6299UCbpXOXE5pAWqO9IWrbxmFL3S0g6SdJ+wP+Ay4AvyLalZZ+brtDB+zE18BKwhqQjgfsl7dr3JeuY8owfAdwaEVsAuwBXaTRdk0tfsQhwIDBvRPwCuA24VNKEA+F57y6SJqn93knSFpJmjoj3gaHArGWbGo5Tw++fAUdK2qus/icwRdnepbFPXblBWnYAjgReJ7XYE/S3exYRHwJ3wwi3yPmBnwC/AS6UtHwr9Le1dvMnwErA6hGxNznQPn8gKK7rz2HVpkfEzsBfaLOs/l9zSte31MeBkbwJ/BqYVBlXrM6eywal/FTAC8CkEbEPcAHwALB+R31tRfm/O2rn+yvwGTk+6TIWqnoApZ/3WcDfIuJA0k1hfODbRSM5oFB7v/KVlX6/n5MP5JXAfMDvgVcofuyjOFfl/nMccLoyzuBlUkhdAVhB0ni9dT09Tb1xqGmZ/g5MIGmSiPgYOBrYD9i2VQfIktYDTgWuA7YntWcvkBraFSXdBxwDdHlQ0fDsVC6iAUxflgdHxL3As8C1kibtyWtqBmUgPTspLF4KfFPSKcA6wM+BOeFrHew3yc7gdWA24HbgXfJeTAns25fX0FNUnV+pk8UkrSJpWlJg3wpYg3z3jwG+qyZZrNSxa+trwOMAEXEp8EvgtlG1TZK2kfSj8ntSsl2bPiKqOJb9yfbh/J67gv6JpHmADSRNJWkD0pK7InCypHWBO8nYznHrwkwZcNVdiScmn6nzgE2KgD49sJuk8bsqNNTaqt2BqyWdBHyDjCtdFVhPoxHr0SrU6u454HtFoXUn2R4t0ryStbWDtTJODyxD9hGDI+Ii4Bry3eu3Y1i1jyXdA/ippB3K5m8Cm0nattq3ScXsExrGgadIOkLSIcVC9RjwLaBD1/cGYezLiHgXOAjYsijk3yHHLM8C+2sk7uUR8Un5DmBSsu99R9K8RcE5yvvQbx/IZtJBxX4IPEVqWWcrfrBXArOQA4Mp+rqMvUmtIRgO7F8++5ADxkUj4hjgCjLA/t2OziFpfEmTF438OJKuJTvCu0jXisOAe4H7gU3IjrXlKZ37l5KmlXQZcIyklUgt/DLAQmXXd0lt4VsR8XmTituODqwHCwB7kpqa/wMuKw3UjaRrwlPANhHxQRfPP6jc78kkPUIOIg+LiAeAT8lB0FxFk/9C2fZR96+s7+mgs/82MFNEPE5qIK8EfkS6KGzRgRZuQeCGiDgrInahaJEj4ingUeBz9UO3kNrAd0dywLsqKWRMBSwVEXtFxFXAXMCbpIWuTymd9JdKy+JqkiaLiH+TyVmOqO16B9lmbTuKU94M/ELSIuV5PhxYWtJq1Q4RsTmwpKQf9OjF9BOKEDU16eK6KPAE2bacQLZBJwF7kFb+GUnPiBHUnqvdgKvJvmg34EVgA+AfZdfpSMvM6JRtN2AzUhH2W+BYYHZy4LYr+Qz3G+rjl4j4MNq7cS9Oetv0OSqUPmLmYp0YXKwNTwAbkgolIuIwUnHbL8YFjUjah2zzUGYF/hbZr54kad+I+AepdDtL0qrRQ672rYbarHOVu+41wHjk+HF/SRuRytyhwEZq8Ayoxlvl90GSfiZpjYg4EzgbeLic/y/Ag8Alke7lnVq5a3xFPmOrk+3JH7pyHyxUjSYNEvXeSreomYEzSfecI4om7BkyTuRfxW1hQKH0vf5PRKxNSvNTkQOgzyQtTA64X4qIyzo4dkLgUNJKMz4wB3BPROxOdl7/IBM67B4RFwN/JgfdLU/NFfQaspF8i9Ro/4ocGO8i6VbS4nBcRNzatMLWUMeJVsYlBw6HkbEuj0haA1goIn4TEQcXq1uXiDZf551IgfIsYDalu9fWZHt0EDkoeiQiLun2hTWJmuJhXmXSlffJgRgR8VZpH9YnB4xDSc1kHdE+w+LOwNBi1bk1Ik7sr24hytT8q0XEUuQgejrgA+D/lMlubiEt1Ds14xqLQDUz6TKyLXCcpO+Qyp01JR1fLE87AetVFqc6kiaRtJekJYq71QzAryWtXSwC+5LWl7p79JKlvRsb2ZAMzP836eXxJSVmKSL+V5QJ25JxqVOQVt92SFoT+FZELAP8DlgbGBYR/4qIG8jMqy+TyUY6pQOFyMTA8RHxWOnPDgUOKAqSO4GWjnGsBoySTpU0ZePAsCg1F5J0P/DniLi6GeWMgtIieRuwBRlvuCSwN+n2uZ2kKg51y4h4uBll7QE2IuOqRYZNfA9YC/gTsK6k7SOToPwEWK55xew9ihJlN7XFCI9HKi12J9+xqyPihoh4m/SYmQ9op0gsz8vgMqaah4yL2kzSMRGxH/BnSXeVfV+IiBvrApTaYi4rpUxduPqMbCtOBPaPiK55EkSEP134AINqv8cjtY+XlQq/h3wpFgZOA85udnl7+NoFqPweXL43Ldd6CXBRbd+5y8O/Tid1N1853yakBuJ7tf/Yl8wsB5la+0Wy4Wx6HYyqfhqWVwJ+WJ6HR4DdatuGkY3nHJ0d36zyk1rAS0khajXSzeV1YLGyfV6y0dt6DM49CBhMCttPAlPVnpebyAE0ZKM5Y7PvaTfqsv6srwzcSnaU15BW2Lkb6wf4KbAeKUyeQGrkpy/P//rkILN6lqZqledmNOpkcMPynMAtZDKa+4DZy/pFSZeLtTs7to/KO3W5F+uSCqM/kVap1ckkM3uS1rW1OrnvC5Xn/HRSGJ6grN+MzHA5f1k+hHRJGb/Z96iJz4Zqv6cDzi2/lybjanesbZ+4fK9AKmQan6vlSY+J40gPhxnK+ilq+6xKWsjH7aAs9Xs4ZbVMWpOfqG2bmez7hzS7/kZVtw31e1G9Pmvrh5CD2F1r6/rsvSNdfqs2YMnSZk5b2r63yru2QKn3F4D1m123Y3idMwBTl98zkf3gMmV5e+Da8vvH5PQiaza7zL1YF1OX526G8nthUlnyO9I6tEdt391KvzBJWVbDeRYFrqutW5z0pFm+LL9S9hnU8I7/sDxPxwCrdlDGyYCLSQ+Trl9bsyu31T+lYZoNuLG2bingztryNqWhnqbcvKvIAWg1oOwXg59Orr3+EK5FBolOVK7zt8B5te2HkpaGcWrr6sfPAlwI/Lgs/5AceKxVls8C9i6/TyBjjqbqjWvrwTr6WucDrEkK2k9TBoikNW63hv0G9Xb5RnV/a7/nIK1p2wDbkTFyE5AC1nVkZsffAJuMSd3QNrCcn9QWb1rtQw6gnqMmiPfHD22DsHEa1s8J7Ah8RFot7ybd/8Ytn1eAP5LC1fLkIH5rcvB4B+kK8Rz9QMHQ2TNGDlK3BqYsyxcAL9b2+yZwfb0D6+jd6s37VluemBSM5gSeJ900dyn3bZWG62pUqCxc3b+GZ2LC8n0QGXw9tCyfS7pMN/1eNfk5WYQUqh4CjirrtizPyXdIYWmdsv7o8h6J9GiYjlTGLFnq9sra/dmCFM6GkC6DFwMHdvD/25DutZR38GVSsN6kvKPXlPOOU56HB0jvjJbr22nfrtcFyh3JdNEdPfPj1X73Wb9EJv/YttzLCcixxSykQuM50gXufFLZNx0NSqn+8CEH8zOTFqnzSIs0wMHVs1jal0vL721JpVPLKF57uD4WJfu0lcryKaSCbYJy7f+q7XtyaXeHdnCexUlL8aLlWdmstu0XtI0zx+ng2O3JTMwrku68J5PeE9X2Me57ml7B/eVTXvR5yu9pSW3KsrXtD5I+4FA0av39Q/tB8Q+BZ4Bvl+UpSCHqgtJYn0b6r848kvONQ5q9zyXdPYaQ8VgnkzEUS5IZmh4oL0urawKH1H5fQGab2rJ0EHeQ82yNQw7S7gV+3uwy18pb73iHkTE8m5HKgIeAvWrbpyUVCbON4flPIIXn9cryWqRL5+Jledzqd3/90DZ4XrB0AkeWhnvcsn5Z4MHye7Gq7SjPxw/IQduQsm52Mp5oMXLQMS8wV0d126of2itT5iYF8nvLe70q6Zo1nNSe/5gUXjZocjm3IDvZ+cryJqSbF6W895f2Sp3dg3LM6Q3r1iM9G5Yoy8OBx/rLveyDe7AgqWybqDz7vwa2K9u2ImMIbyIVMCpt7OSlTfoLKfxcUfY/gRykfZ9093uBovEvx07Twf8fXM7z6/IeDicVGpXSbytywHcr6ZnxKKOpve7Duqy3u8sAb5AD9nlJpe/vq+e7yeUcRJuiTaRF92DSXRPS2lgJ0QeS/em3m13ubl7zyaUdeKzcj7XL8zaMFAyuJxWb93b0nA6UDzme2IcMmamsVKeSro7jl3p6iOwrrqKtD62PR7clY6Y2KMvblOXVyvJFtAlVlXdVpWhZjHTt26Msz05ao39G8crp1vU1u4Jb+UMx1daWf0MGukFmydkdWKQsX0o/17Q3XOs2tDfBnke6hE1KDoo2K8vfKg3g8bQNChu1YPWXYVKyw7uIHGgOJc2vR5Pm1ukoZttW/dDeEjdBaQyuIDvfW8hB8vSkhec6MmPYwc0ud63M9Y5319Kw71Ya9MdpE36mpwN3kVGce/xaIzY+qVE+iRSmXwd2Kdt2ITX60za7PrpZl3PUnvvlSJe91UgL35PAvmXbIHJgUB/ET0q6Ek9HdqQz1+ru4Ma6p58MwBuer5nIwcPGZfmw8jysRHauB5DKmQWbXM6ryj04m1SQrUYK/++SbrB3A9uO6lykNe6E8nsIKTA8RMZXXkoZjJc6+JoGdWz4ND7HpZ14oqpfUrD9DbBGWa5cpurvztKkIm8t0gJ1PcXtnuxfziAFtXkbj23474vKfw8mlTsPAbeVbePVzvXN2j1t+feQFChPJq18+5LZQ79PCp2bjaxO+qBs45GW6XnKZy3SInUpqdgYVNq/V0nl66/IWLmm1+sYXOsWtLmhrlDuwXak++hapND/s7J9GDmG6HAc1d8/tB8HHlGeyePK87ByaXsrC/+UwMK1/ZcAJiq/5yj1+h5t/crspHL/VTIe7+basZXCcxBt7fRhpIdI5TmxcHk3jqebRpGmV3SrfkhLzOWkifGnwHdJrfFfyUHz1GQ81QNkh3tjs8vcw9c/HqlBqhrgE8rDegdpjn+ANleC+uCk0c+9eoinJQedc5blPUgT7RxkAOq55UGfoNnXPop6mZfssCYmO+FfkYJU9cIvV+qm6oSHUdMMtlJDWTqseuPzJHBm+T0x6cJ4fBfPJVJAvok2a+Y3SGFtPHLQeg+pVa7i6E6jn3aWpfyLl2e4up41S+O8BClcHUybC9Fk5Tmp3qvzyU7lXjKb2THkwHBh0q3oQWruDP3lQ/uB74GkIP1b4Bdl3XikQHEiJbaoo2N7uYxTUwTa2n28rvweQg5Ef11+H0IOgA7oSjlpUx6MX5ano00jfzX90IWzl+7BlGSyiUXL8pqkcqcSoL5Pxp9NThkM0aZw+DYpCD1EWyzOxDQor6gNpjr5/1vJgdURlDhOUtH3FrBhWZ4c2Iv0RJirJ+ugF+t2T9Llcbbq+slY5mvJaQFubGLZqvHAD0hLxOvAzmXdFqRgVYUDHFbemTWaXadjeK1TkLGVlXA7hHQ//Ua5H9uRlqt/0xDTQxNiSXuxHsat/Z6svLvHls+1tLlAfrfUT92NbzxS4bEDqSS5hzar9LGkd1TddXU2MsRADW3GymSfexI5fxXlvtTDeFakeKN163qbXeGt/CG16V8B19fWLUzGRqxQlhekvS9mywyax+B6ZyUDQivpfXrSLaJyaVuRNq3LVqXBqw+iOnOJWYYcZO5Dahe+SWrlDyYtflOQA9GmuyV0oY5mI4MrpynL65SOoXLnGpcUVl4Elm44tmkaTtLNbKna8uqkBvYl4Btl3eylE7iEFLAOH4P/2bd0FAuV5cGkUuLwsnwh6f+8crPvZQ/U6YTlmT4RWK627pe0uXo9QLp7LFCWxyc1aueQSprKojU5aa29uCwf0ezr62bdbFXu9SSkhvZ52uLopittx7pNKNdapSw3kVrJ6YBVgMdr+4xDDqJXLcsT1LaNsn0nhbAHG9YtRArKqzT73jTpeWj0XliJVNQ9XX4vSg54Zqjt8zVX8vKOHEi6it9PekxUwvHcpGVxhdr+X2tzyYHanaQr52ykQuNg2gSrjUkLQuWePBstHPfWQd2eX57xZWmvnZ+IVAo+S0Pf1EflrCtfVyWF5muoeSuQAuF5lP6BDhKK9IcPbQL9jKQb6f2kILkEKfxPUbZvT2Y2XrnZZe6lepi/PI+zlOWFKJbgsvyt0l5uUpZ3pM26PAXpkrc2qQR5lRTI6p5C11Ni0Rr+dzBtAtVWpZ1ZnDSAPFjOPS4ZJ3ljj15zsyu9lT58PVvOt0lt8u8a9tuEFLbmbVjfnwWqDcgB9r3kgKLKnLIcqWmutEcTlgf/BWrCZMO5Rviwku5x15HamVnJSS6/U7YvVBrQvXrz2nqofurC47SkO8/2ZXnP0lFVwuhEZMc8WbPLXd2PUqbty719htTczE/GDOxN24Bi2vJZdHTO37B8FOkOOXNZPps2F4cTSQ3RJM2ulx56FqYn5x06jhwYTlDeo3lIQelG0kq3c3kfDiidw061c5xLUdyQA/q5OvqvVv40tJuLlY7rRtoyNq1PunRVyoepm1DG/cgBzcKkcPVzYKOy7UHgpNq+19Mg9DVcY6ML2witaFl+tLR7h5KJDV6mCTFjrfBpeF/WI7O9TV6Wv09qq48i42kP7eQc45ExGOfTlgVwfVJpsSptLlNdinWi/UB+dTKmY7fa87oHacVq6URJtWuYk1TwzViexUtIC9xkjfeBbPOXbGJZdy33cqFS7wdRG0uV8u3UrPL1wvUOIZUAfyPDKs6jfUbgTuPQB8KHTHJ1HKlgm4rM8Fe59g4p/cSj1Kx1tI0dDiCVLRuTY5bbSatVPQvu74Cf1pZPAx6tLe9LKlzWIxWWDwM3lW3Tl/P3WPx+0yu8VT4NDf/ypAasclW7FLivYf8dKBr+/v4pjdqLpFvMvORAoP7Sb0ZaF+YhNbtnU7Lw8PXBxZy0pQxenNQwHEm6UDxDW9BwpY2YlxbXRtFxhr9Nae+qcAZpmm6sj2Zn+NucNvP6zuQkvtfUtq9dOradGQNBh/YDyT1pH2N4Kulm9Q1yMPsUKWy1fEzCSK630vpOQ1tQ9Yyk1v1wUijaixQgXiFdPH5YGu5vlu2XlLqptJWTkpab8Rv+q+UFKtoLGtPSplBZjRwsr0mbJWE/UmM4Hm0DvD57Fsrzd1dt+QBgn/J7unLPziEFqpspLr0dnKfeV8zcsG2cah9SM30IqUjodgB0f/+QFqFfkYP9V2iLL1uAFJD+TSoYGtvQavqFk0i3zMVrz9mu5FQDC3V2j7r47H6PHMxvXXs2D6IfxHyWunuutK23lPdsYnIKh51ob2ldkBTw+1SoqrWbR5CCcTW2WpTsK7YvbcZ+NEHh0gvXW09iVV37EuXanyL7wykbtvfbfrGD669bSKchLcP7koLVzqRQvXDZPpz2SZ3mJxWR3yaV+IeTFqspy/PyMKkUG0wqVKao3lPSE+QO0uhxVlWvpCLtcdrCNP5HiX3t8WtvduW32oe0Qj1PWxrpKoPIs+RA6BTg1Nr+/f5FKNf0l9ryZtU11jqvA8m0z+PVXpavJaQoD/sJpLn7/LL+anKSzyrOYHJSAFmp2dfehbqprnViUsN0KG3a9p3JQOfK1esRSpKHVviUxuhpUjM8uDQ+e5GDk+1r+21eGvsxSrRCCgrXk4PoagA0lOzg9yWtZNNTm3+oP3/KM/40KUgfWRr7BcryHmSHMj1tMQ3b0Ja0ZA5yAH8f6RO+XGlX7qQfJy4g/eGfKu9+1WZuX56rlWrv0QxNKFs1SB6PzDq5f1m+lLS4n0EqSaYiYx9+0HhsJ+c9oNzHnwJ71tZ3GFc6tn1oL3yuRNs8PPuSbuD3UVPk0OYiWxd2ZiQHYFuV5UtIF8Apa/scxBjObdfwXzuQWu5Nm113oyhzu/TnpAtTlfVsNtLdeF1SgHqJmmsZOUjtM0Gx8dkv9+550u2rsi6uTnovvEAtdrG/fkhFWhVn25h5bkbSct3y2Y27cf11RWslOM5DegN8l+wr9ybHk48Bw2v7DyLj0Hchx1sLkv3lieR4ZgLSq+pmcrz1YK1uq7pehuxT3wKOLOvmJS1i05b/vwb4fq9cf7NvQCt9yI71GdriZb5JdrgrkdrkC0ht1oAIImzoUG4Gbi2/f0HGUt1UOrSpSKFiw5Gcq3qgZyZjjJ6nLa5maFl3DKmJehbYr9nXPxr1NCtpNt6lXMODtGWdOZSMHZm1lZ4LUlB6iFra2tq2rUnt0Cpl+dt0URgktT4zkZqkSiu/PTn7OaTgtjppbp+WFD52aHZ9dLMuJ679XpnUeM1SOoaXyzsyIRmbc1X9PSFjpu4v9+MBMo5nGtJF7inSn/yQZl/jGNRJ3a99o1InM5AKmudoE1wOIQfC89T273Mhg7YB3NzAB6Xury5t/O6kC8ll1CxPI3ufSYXKNaVtvIlMajRBwz5jpTDVUAfTkoL10PKO/BS4qmz7dam7dm0U7Qdl45d293QypncomTBpD0rAeXfrm/aKs8MZST/X7A+pqa/61fXL8/cotRgpMgb61PJ7xe7WT3fqtPxeuJS1cts8rbSZdRfMSYHpm12/Y3itjcrlbUlhYZRKsoHaRpBeT5XF/2ekULVM6QNXKfvMSVuimolo8AAgx4pnlzZkQXIs/mNS8JqdtmRg3yLHrJOTcVJzk4qWuYB/lfdhUHnubiaFuVV669oHMRYjaXDDqi/IG7JWWX4K+Ji8AR+RM47/OCK+7ODYfkdERHUdEbE+MLOkf5IP4NKkEDklOfiYOSJuBJCk6hzV71InC5EvwPakVmBtSQtExAekaf9vZCd5SESc0DdXOfpIGlT/Jjvzo8lB1GqkBmQdScuQVp+3gS8j4suG45rJIDIg9DNJSwE7S7pS0q7kAPg5YA9Jb5JuOLd25aSR/I02DTKkNnSwpAfJejqAdKMSGQz+TE9eWF8i6STgYEnLllUfkwLSYmQA7FEUC2BEPETWyc3l2AnJSU33joiraJuHYxfS3fYIUsC6q+zfCs/NSFHyc2B3SQuX1R+QyVm+Rb4rpwLLStqUYrWOiD9W54jSE/YlEfGFpCER8adS1iWAwyLi/og4g7QYnhwRf60d82X1u4M2b3xKbAQZF7BjedeG1Y7v8+tsNpLmljRH+T0TxWUvIj6IiP+Q/cPVZfc7ScvtMGirr9KXHClpo4j4L2nhfZV00RtKDrZ2ILXPIxjT+i79oCLiEzKu7sYxOU9vImmC0ldPBuwn6TFyXsx3yTiTMyWNUztkAoCIeLQcP6gvn8fqvyRtSyor1gDOkbQ8mdxnGLCjpMnL/h9FxFt9Vb6eJCK+kjSxpElK23AJqVSec2TH9fU96U0kTSNp3PJ7AlLJ9CvSk+OfZPzqn8lETMdIWigiXo2I58spriM9BwAo7fDtpEX7x2RSk9vI/nR74PWIuL/85x5l3eGkO/efyOyKi5AW27NIpd4epRzrl766d2i2RNusD23aqZlJd7fFyc5x23IzK5eu3Umtft1HtN9qF6i5DtTWVRaHyUmBYduG7bN34bzbkAP1yuy9IqlZ2J3UHqxAbXb3/vChLeZlMDmIuoa2wPanSPe2uVvxeSAHuH8kG7dXSG3xyWTcyE5ln2XIBmZ0zlufg+pZ0pVHZBzilqTGaSgpkHc7PWkT628omSnovNI21LOSDSptQhVXeCVpvVyhtr1yOTub7FiquKKdyAHiT8rykaQPeMsHxJOC9EMUoYk2i75IX/mrKYHxpEbyPmCO2vHNsFAtQHsrWXVf9iat55OP4vi6xn1y2hIZfB/4hJIqvqzbiuxLWsZi3cd1XSlsDi7PxyHkFCSzlu0Tl3XnkW7Tl9OWIKdR278DmSCpcgmch0yB/gtSidHlicj7+4cU+K8r3+OUd/B52s/jc0Gp+5+QCpvvNqmse1DmnCvlvZbsK7Yuz8L55GB3OnK80OcZQHvoOqekLX54RlKRdhrFA6dcd6fz2g2kDznGu5NUcgwp7+fdte1DSWXrbmV5RKbNhn3+QnEdr61fllRUVnW9TdWe0zYen4f0BjmUjMk8i/QkqFKv70bGWE3aU9c80vpo9g1p8sOwLDnw/Ak5f8POpGvTIaT14RDStL5Ks8vaQ9c7BZlMYBAp5GxQ21a5xyxNBgyPNP6F9qbaeclBZRVPMzGpKau01r8lY6jG78nr6YX62Ze2VK4/L9e0MxkfMz4pkFSd/LXU4pKa/aHNtWJEBkvSbXVHMlHE9GXdaqUD+JpwPYrz1weXlRA+Fykg1OeVmJgcLN1EP/UZJ4Xo84GjG9ZPQJuy5WlS47okqUFbuqz/VnnmjyrLa5HuD1WmyM1Id9F6hr8lmn3NXaiTCUnhb9+G9ZOU52Bi0hK9fHnufknpCPu4nPXndIpyH6sYyEEN238JXNTFc61PugA/VN6nuUhXxzPLc7E/abFdqKeupT99SAXaA2RMT9WXzEMKUCfRFk+7MOlmfx5t88VUgu4cZIauuUo7Vk1IXrVtJ5LC2Py1/235ZC7drNetSOFjU3LAOqTUz7GkK/ritX2/T/ZXyzeprKuTg9ejSXf48UlL/JakwLcMaam4mlRmdylTYyt+SEtIpai8sFzboqTXwaHk+OFOYGizy9rL9XASmThi0Yb1t1JLBEHGch/RsE/l9lu1F4sAH9KWzKxafx1ple3o/6uxzrqlvpckrVbnkorvKsvoVn1WJ82+KX38ANRnVh6flGiXJk3Rf6Ft0tKpS2d5B22atH45QOygDvYj05o/xde1BVX97EiJr+rkHHWf9x1Lg/87MtvViaTW4M+kZncYJYV6K39IC8tepMBxarn/q5cXei/S2rYHKYQ/R23ATZMtVaWch9BmORhZLMhpjGZcYP29aXwGyHis14ClSh0dBJze7PvZzfqcgJxaoD5p8wKkG+NVpfGfp+zzBEXbWhrzp0nXwGdJd4Zpy/txP6lYeIa2dLH9pk0pbeIDtA+SX65c/zmk5nZTUuj4LaOYK6iXytjRJK/HUSb2Hdl+ozjvOqTgPHdpP68lhcd5yUHi5WSHPk2z71OTno156EBRU9rLvahlWezg2KodWZu0HF5cnqkfkRaAyrp+JKnkmqM3r6WVPqVPupa2uJMhtA0iJyWtdvuRguxOtLemN8MqvCAZJ3cpOS6oFHmn0JZC+1Ay1mbFvi5fD13jcaXdG0IqDt8DNq9tH0IKt5eSHiJVW99y3iw9UBdzArfXliclFVmTkwLmlaTgP5QUNveq6qK0mTvQJjhV35sA71PmtSrrrqXNQ6jTeiQNBtfTllVwUWDCPq+XZt+YPnwA6oLAZOV7b9L/9VnaLBRzklrXuUht2s+bXfYeuPZ6es/tSud1bSd106WXn9Rc70Bb2soDSe3AeqSLwmXULBit+qG9Nnrq8mK+QhlQk5aH80u9jUO6gtWDf5udMn08MkHC2aUjm6CxXKWhW7p0AlcxGoN52jrxKUlN/dcCn0nt6GvkIGji7lxPq3zKPf9mbfnHpOC6U6nr8UonUqVoFRmEPxuZnejXpPB9Rtk+abkHVdrYfqVhJwXmm2hz7REpoB9W3v3jyvph9Trpw/LVM/x9D9i9LE9JWlHmbti//t43ZuurvzsLkFlg76itO5L27p/96l72Qt2vRdu8L0NIpWU1yfefSQHpVNpnHN2dtjTIE5f9Vy7L65GWmPXK8k9KnVf7D7gBaif1OikZS7Jkea8OJ5V8T5H90ZSlLXqYdFVulnvt1LXl48kB9AWkcDGItOL+pfQTT9KEiYd78HqrccEkZJzYseRY52sZFcm48mObXeZerIvJSUXbuqRi9wxSqXhreV9nL8/CNZQsfOW4lchEHpPW22XaxhOHkIqU/Ukl3Tn17Q1lUEN7fTw5pp+lafXS7BvThAfhl6S2YRxSg/Y0bS4905MC1jqlMVieWqrc/vah/fwUE9GW3nJSMm7sZ7XtXxvsNfxuTFt5HZkCdZkO/vebpOWqaRMMdrF+6gOryqVnJlLbcVlt22alYVi/4fimDabK8/kj0jI4iEwFfSbttWaq7bsfcPgY/tcs5fp3HEn9ncQAmbetXM85pW4rt6XquV+InA+mrhWuXAyqSR6fKMtTk+4w+zWcu9/F3JAD3xsokxiXdVWc2Drk4G7C2v59/m6U9/cRcsB5F6khX7e0VZV75kgHnnRsld2gtJeb1tZdSApWkzX73jT7Q7pyPUGZi4tU4mxXfh9MunttQ22urvIO3VN7r66nxBmW5aOAizv4r3737oxhnVbv2A6kku8fpNJyX1LR93FpiyahvTtkXyoyFi/t2z20xcssQQpTW5GWikow3rO8L4v3Vfl6436U3xsDX9IWX3kqcF75PR1tlpLVyX5xQCpdSAXWdqSA9BdSubZleT5vI8dS41IL+yDHIjOX9vNZ2rJUNrpmr0OmX9+iqv9a27wUZX7Q2v51w8BNpFDXFE+Qpt+YPnwAxiUTC5xRa7CmKi/+cNpif35cO6bfvgzlgT6aHOTNRQpAjwOnle0LkALllqTm4MDOOizaDzAmK9/TUzLIleWqTqvMZss2uw5Go662Iy0tK5DxNAuQvvuH1fbZkhZLtEFqiEfMPk9OMntavcGhbdDS5QmWG5970hL2FkUoa2jA+u070sm1V8/x9KS1aS+K1ou0xN0GHFrb507SDWdvUvBYlBzEj0sOOm6iH1hsR/UMlHWrkgHyG9AWPzknqSXfvcnlXbS05ZuU5QlKm3Y4OQC6jlHEdNbu/TykBvZKMkPj1KRr53Bg1bLP5PSDefb6qO7HLfV8LA0aYtLdaw/aBPB6X3IrbXMZbkEKUsuX5RVLfbd0HG4v1Wfj3E6Lky7H9WkMzgKWativTwVOcoxxIqmo/j1pxT+QVMBNRgpWFwLfarz3/eVD+4F+3fX5XODp8ntm2pQET5FjrglJF7edmn0NPVgXHd6/8hxMTttYYwipgJuttk891nsYKVA90diGjuQ/KoFqp/KsPV3ah5lq+1QuhBPTRGVX029ULz4AavieBLiytr1yUZmJFCp2ooXcunrg+mcpDd5RpdFbk9QgPk+ba8zypGD0NA2Bhp2c88flZdm/NByLkcLISrV9JqPFhI9RXNNcZDD0vPV7T/pNX0/xA258rppY3nrjNA45wD2fTBM9pNybE+nAgtjF89cHPcvAiJnvv0fGEK3UCvXQg/XZkfBQJeL4BjmwfqTU8e9py9o3I2kNWZt0A/mQTHwzP2kxvJVMXNBvlAsd1MOMtGU0rJ65rUkX0idIV4tXaIF5yMhB/YfU5rohFSQiXRQvoZNMf7QfrM5CJifamoyheoi0CM9KCs5XUIu182dEvc1LWgYvJmNrJicHPTc21jvtM4j+hlRcTEvGYz5OepK8QckkO7Z9aEvM0ZmSc3tSSTpXX5VpJGVdknTPPIe0UB1KWq92LdtPArZudjnH8NrqysNNyrt/dm3dfcA15fdkpFV20dr2KfuinH1UF/VxQT05SkcueaeSBoyJOzh2aHnv5yXH3CfRReUU6TFUzyp4VanzYR2Vs2l11ewC9MEDULm8DSEHOT9o2HexDo7vtwPGhmufqzzgT1UNcGkEn6dMcEhq20dkjuusHkqHdyPpcnAPJZUwaeX5I2Xw3eqfxo6KdFe4tvweh7YB9WSkmX/HvizfKMpej42rLAVVYOxF5KB+KClIn0o3grpJQfxqUqCoB0PfUHuW+u170nCti5DxTouW5XpK9IlLB7AeqYSolDFzk77fK5OD8F2qOiEzXq1LB/7i/eVT7vd9tGmZG7PqrUoKlN+ore/zyUVJYWoC0hXlGtqnOB+39vshSiKihvPsWj5VrMQsZNKFqk2clxzALk0KVj/CLn8je2ZOJJVUNwKXlvVrUrP6l3WVVnkuMu7qO2V5RdLlreUzYvZSHc5X2t2vxaaSmRMvJRUao5zmpA/L/E1yPrq9Stu5C0WpRxcmwG31T2n7HynX+Svggtq2P1Jifmrr+k0CojGoi8NIheEEDX3ChOTY8oHqvS/r6/vsT3o1nExb7P0x5HhlgQ7+qz6WHUa69L1BW7jOvKWd2ZUWyrLY9AL0wk2vaxcOKy/DAaSr3+rlpq5DajEvI6XdQbSAhNvD174raZaeq1znj2mbd2kTMgNgfQ6Z+gM8Tq3Tq7SKh5KDxYNIDf3Q2v4n0ULCx0jqpxqITU2bq9+EwMsU392yfXXSAtSSHUJpXKpg0GXL/dqDTKwyB+mStTNj6A5SOsejy++HgDPL72lKA3hjq9bNGFzr5qS76i7kPCqrdLDPaaQb371kRtDZSCvOjaSipsoaOg2pZW9qbNEY1kO981ulXNvhne3TuL6zbX1Q7puAJ8vv2Upbd0hte9V+vQhs3HDs+WSs1Dcp8Z/koPYq0uWqSvpyOC1gjesvHzJmt649nqv0N+0yeNXuzZqkYFXFvVV9T9Oeqz6sq0ZX60VLO/41d21SmbEPbXGefda2dHQfaFM8DSGnHDi/uscjO67VP6Qb/erl9zqki/e+ZXlCckx5WFmembZ4qn7R1o9hnVTC8r2d3VsyMcWGteX6eHRfUuBaguxzf1Pe+2nI9PPHULNo19qIGSnJUMi8AEeT480qs+S3yfHozM2uoxFlb3YBevKmNywfWF7yas6U/Ugry8ak5vE2GjQM/flTa+AmKtf6FGm9GJ8UEs4iLRpVh9XpXBZk0oP9SM3sraT140Ry/qpzavttBizX7GsfzXpamEyi8QQZj7QwqWH5GymI7ktmXPpWs8taK/MBtMXxnEG6Ms1ZGpOHyjVMSgpZF1FLUNKFc09GESRIq+WU5f4fUjqT02r7Tl72Wbinrq3J9TolGWszjNSc/YH2rg3jkS4f15ZrX6K8B38AZiCz/Q0nXUWnJYWus5t1Pd2oh0br7TBSeLyMFrHKlI61mr9kctpbAR8CLi+/lyr3Yefa9qG0T+AyuLxDl3TyX3uTsSCbkPFVz9IPpoVopQ8lsJy2fulIMuvsctX2hu/dSVfy8evrx5YPbbFkg8vzvOso9u+z+CnaK1ynpb27bD2OZcvSVrZM3zma1zlTeU5nKs/vwqXtOIN0a60mnZ2LtFDt0uwy92JdtFNokOEze5EJKdbswvGNfcqhtI/1/g45thyXHJ9+7Zkh59T8Mzmm+WvpZ5cn5338KW1xmlOP7vX15mcQAwBJAh6RtEZZ3oh8AK6KiEdIyXZ2UsC6mRxEbxcRu5T9Bzel4D2ApMkkDY6IryRNQQoLlRVuHDLD371khpaVSY0SpO86kr72DETELaRW4tfA9RHxAemScA+p8UXSnqQG96Neu7geQNL8td9rkmX+Aakl+ScpaP6LDJSegmwwvxMR9/V5YTtA0rjAO8BEkhYE7o+I75MDvw9IwepoUlt4MTmZ6WddPPcgUvO2nqSrSQ399GQDuilwX0TsUfY9i8zw9FZEvNBzV9h3lLqsMxGpKNiZFKY3iojfSFpa0hDS1WOSiNgkIv4dEc9GxL7kXFPnk0kM/kxagS8GHoiIH5X/Up9cVDeRNCgivlRysqRtSNfG7cnBxbcljdPkMm5Mup1GWXUksJWkOQAiYhVgNUkHRMSvSc3nY9XxEfFBRFxVW/4S+D9SWVH9x6SS7pJ0U0ScTLaP3yJjRc4vbaLpIpF8BQySdC2p3HsRuF7SzBER9XckIs4g63y96vhmlLsvaGwbyrjlXEl7k8qxfYHZJE3c2TnKM9wnlPuIpJ+Q44DTJR1Stn1Rvj8hLRG/JBW6/QpJk5PX9lZE/I0c0J9PCpGnkH3tOpKmjohXSM+QvzapuL2KJJX3NyStJmkz0tXuLDJeeF1J85R9O5QhOng+qzksK14i56P6IiLujYj76ucq/e9+pHJhWzIJzk/IMdtN5Dht07L7O9264J6m2VJdT31IX/h/kC/BYHKQcwttmq+1aUvtWo9N6bcmW9Lyth/F3Yh0/bqutn0+2nxORQ4eZ+3kXJUrRqU5PIFsNNYpy5OT/u6/IbVRj9LiM6KT1pyPgdXK8i5kEO0itfo7gnxhZ2o4ttnzT60ILFS7j/dQEqmUZ/mK8nslUmt20Wief2jt92nA2xS3KVLYuKI8A/uQWvt+Ozs8Jf6s/J4C2Ii2LJY3AG/Xti9e2o35SdeONymuTLRPDfsS7TVv09Z+96s2hXSNfoR07fwhKSgOJRUwd5PCRVOuiVSOPUct0xkZA3cRGeM3U1lXvdsr1/brzF1xGGltrFKAj09qow8lE5NcXdt3rJzQtwfv31q0dxk6mVTWNU4UPAWprOiXVo7RqI+NgWPK7znIccvEtE10fBk5aLyWNvfTplvtyLHD9aRnw5mk4NTnE6v24vVNT44ZtyPn2FqktD3XlbZwOdKzZU/GkoyUZGzj86TC+fPyLi9IhtWcRIOFqKM+gvYugLeQ44oJyHHrPaVuB9F+TP5z0kp4PmXS6LL+FxTvAjKJVtPfiw7rrdkF6OGHYGXg5fJ7KjLt5Sm17ZsAMza7nD14vUPIAfACpCZhcjKQb83aPsPJmejXGsl56ub9TWlLRLAE6bKxcm27SEtGSz7QHVzbtqSGdI6yfCrwYG37iuQcO53WTxPKPIx0AXmBkgigXMefSI3Pd0krLKS2/UBGQ8ClLTPktOTA9NjSmdxAmwA6ZXlfDqEhyLw/fWhL73oiOSB4irTmXkIKp1OV5+N4MpPQb2k/H9FKwB9ry1WiipvpwCWsP7wXjWUkXSp+UDq3B4Gf1rbtQSpm+nxS53Lv7gBOKMvzkAPvWUlL88WkRW2Wcu/2p4uxfqQAeTIwaVmeo/af12JhakzuV0eDqhVIpUw9acifgFsa9hvGAE9OAexGCpTzlbb1GTKmrz7x8aykx8BfgQNa5V6SHh2Lkl4Rd1AUbLQpp1q+3evkOusubjcCn1GmwCj943HkOHIQKVwcyAAVqqgp1skx3oWlDtYk486rNnIJUvDctPHY8nsh0ktqRMxd+Z6gPDsXkEmQhtF+LtXBpGLrfNJie2rpf6Yu21ekKCRa+dP0AvTCg7ErcGf5PT9pnTqqYZ9+2QDUyl9/gCcpg4AjyAHipuXBrSagG04OKI8sA4bGxrJ64AeRg5SnyFnPq7mPfkDGIK1FWqlaem4WUhhYomHdsaQ7UJXR6wpq8RTU5lNolU9pvF8kLQcHka5YJ5RGZgLS1eJW0mVmkjE4/4mkFe/isjw+2enfVJ6pyRhJ3F1/+pR24P7yWaOs243UPC5LTti4e3lHFq0dV1ltdwXuaTjnDfTDdOm0V6DMTHH/JC1vTwPblm1DgHXL7z5PDUxbhzwHGSN1ChnbtEttn01IrebLwEm19aOMNyFdwM8A9mlYfzGpie/XfUQT7ld9cLo96aqzfWmrfk1t4vTSHt9HEWjHhk95ft+nbVLkh8nEKtOTffbttHlQDC3rjizLfZmQol3m5Np7+GNyvreTa9u3KOv7lWW+Vv7GuJ9dSEv1iRSlSml/LgB+3uzy9mI9qLSH1XQpG5Vn81hSwL+X4olR22fWTs51VnmWfwYc2PhclX6lyrA8mBzjVBNHr0268v2gLC9G9rNnkUqzP9AP0vMPiJiqOhFxFvCWpFMj4vekm8i/oc2XOcod64/UYiAGF//ej0npfhbSteAZ0lXrCknPkq4zD5CNxBfR5h+9gKRpI+KL4k98PvCPiFia1OIuLmmbiLiYdA/biExX/EgfX3KXkTQemfJ4K0kLVOsj4iAywPLismo3YD5JR5ftr5fjmxYHU2JaDpC0a1n1c1JbORHp3nd5WZ6JjAfZgGyMlivPwOj812Cyg/892aASEf8lNXUvkNaKx8lEDf0SSUtImqAsjk+6MS5JJpiAbKzfIJOtzBQRZ0TEYRHxfOXbXbUTpU35q6Tjy7nvBD6KiCf67IJ6gNJ2VO//NmRntSwZl/cH4E8RcVHZ/WoyTmlQRLzX1+9GZIzooIj4MxkHuTwZ33lObZ9rycH7ehGxD4yIBxhlvElEPEMqn74h6XZJu0p6Gvh3ROzWn/uIZlDVl6TDyXfqftJd51uktXsfSadIuo9sV9aMiJaOx+0JJA2RdDfZ7pwEzChpF9Jy93pEvEUKmH8iPU6IjGH+G7CCpPGqd7YPyroNOQ5A0vJkTOmVkjYhvTmuA6aSNKzEVx0CPN5X5etJauOocSXtLWm9iDgnIragZM+VNGFpf84jFU7Vsf0iXnY0GEQKOD+W9AcyXf/rpFA9G+nF809JqwJnS1o0It6A9jFVkg4APiHntFwamLbWl35V2uYvIuL/yiFBUWZKWiYi7iCNANtKmikiniPb/vtJRe9OEXFZL9dF92m2VNcbH3Kg+FsaJm7t7x/apP2ZSGvSg6SP71DS5/dyYJOyz1RkQz4daX3areFcKwH/Kr+Hkf6tD9W2f59sTDYuy/3C5E1qN46jWHcattW1InPSjXmceqHcQ8nByJu1Mq5AWk8GkW56jwD/oSFt7Wj8h0hf8eFkDMMgcmB5Ym2fKUhz/6LNrpNu1uf3SKHxdNIyObjUYd0VdB5SK1m5e3RqnSh195tS//vX1vc7LS2pXLiQdIO8nRSsFiYHUVeR8ZJnNLucDWXesjyry3RW52NyL8jO+gBgR2CbZl9nf/qUd2KC2u8hpBvtJKQF4xHaNNzzkemPd6sd3+/enTGoo0mBH5ffU5Luc/uUd++I2n6n0D5j5bF9+Q6SloC/kFbFa0ofsQLpKXFGef8mKO3DcNJLoqVjqkdyrZUHwrRkzOjFpFLp4NInzkIqmnanD7MsNqEe6lbJ2ckkEI8DC5Z1M5BhCMNJ48SLwDc7qMfq+xBS+X4RZS6vUp/TjqIcO5Ax3VOT/fTx5RzjNv5Xf/hUlTHgkDQ+KWHfWJYV/fRiJS0N/DMi/iJpCdKt4gHgPTI15buka9h6pLve6ZHZVGYhgwofiIgrOjjvLmRcyFqS5iYf5sci4qSy/XBSm3BCpCWjXyBpFTLI/jVyIroPy/ptSdPz8Nq+I7T3zUDSRBHxaW15ObLjvZ9saMYH7oqIV5TZC3cjs5Hd1MXzf+25l/Qw8GxE/ETSvGRHeQHZybwVEWf3wKU1HUl/JH3/pynLg0hhezXSte0/kmaIiL938XzjkYlbbqjO18xnZ0yQtD45sF29aFxPKptOJt1BZyfd/R4o+w+OPsw01mBNG0RJJFeWDyKVAj+NiJf7qkzm65TsXEuTsRNvkBapX5FeDhOTA7QdI+L/JG1KKuz+VTu+T5+rVqH03xuS79rapKLmedLi+qOIeKzs12f1I+kiMia7mrvxHuCTiFi3tHmbkVb+m6Nkxe2P4ylJ3yKTa9wiaWYyZOKdiNhP0kKkAvO2iLigWGX2A7aMiPebWOxeoaGdHRYR70iak5yzbxFy7q3fSpqJFDLnIGPR/1pvl8vzPHtE/FLS1qT3w6kRcVg59wFkXP4vR9ZXSjqJtF4vKGkact6qryJix16rhF5iwLn/VUTEfyuBqiz3qwYA8sFXpg0+g/RnhkxYsAnpCvMgqVGZipyc8gZSy/QcQET8hZy07msCVdl+DukqeWZE/InU6q8gaauyy3FkYGC/EagAIuIhUts+O9khVAO0rWmrx2rfZgpUuwE/kTRJWR4cEY+TKXW/IAXmbclOmIi4C/huVwWqckw1IF1P0jfK6o2B5SX9JCL+QGoj1yc1Sv1SoFKmQV+8/JYyHfFewBuSzoQR9/o4UiN7dVn39+qYUf1HRPyvPwlUnVzTP4D/qqS1JoWpjUiL9wQR8duaQDWoLwZ2qk1pEekmMm31u3TclQvJseT7++3eLpMZOZGptCcip3Z4kBys/oHU+C8aEdsWgWpLUmCYsuH4sUqgqt7FiHiWjKcan1ScTUimh96hJlCJzGTZ22WaUtKtpDB1DzBdRHxOxvMuLmnDiPgfmbXtNWBzSXOV6+h34ynSI+cUSfMB/yXHv8sUoeJF0l11A0mblLHVxgNUoBpSE6h+Dtwg6QrS0nw9mT5+C0nTk7H0r0bEJZVAVWuXtyI9PS4tCt8nSO+mmSXNqpyGZT1SGBvp8xzpvv2ackqLf5HC2ZO9cf29TldNWv4050MKTPfSlnVsKGmi/Xltn03JVKwr1tZ1yWxNum08QWrJIINPH6dkAGzlDx1nm6pPTLhxqZfbSZ/og5td5lrZ5gNeIV05J6vuRW37ZKQm8wOyg11lTOuGFC6Hk1aaWcu6xUhL5zZlud8GjZODgvdJjVnjtvHJ+ITKBWddMjh8zmaXu5frpP4srUcqFBYjXXh+QQrRVea7s8s7snqTyzxl+b6KFJzq11C5Pg9Yd5z+8OHriQx+XZ6db9TW30XG39xAJghaoNnlbrUPqew7h/aZevsyIcV4ZOz1/mTczDGk+9uMZfvGZHzt4mV5Nvq5S3i5jj3LMzkJmWnxNNJtbXBt+yG1/fuN21kXrn0cakmtgM1J18dZSavcc6Ve5iY9GN6klj274Vx7kO6905NJKe4ls0POQCb6OYd04au84br0bJPTeZzd7LrqzmfAuv/1Z5STlG5P+rC+RsY/fIecKO2rYr2qMtidowzIXzTGMHC+uEr+gQwEvFvSIhHx2x65mF6muK8tTMaHPVzWjRMlGFLSROTL/r/I4PSWsDIU7fxJ5LxI/42Ib3fk8lE0QEtGxNFdPO94kdpFJM1AKhXfkrQw+Uz9iUzH/r5ywt/5yDTq7/Xc1fUtkpYhlQGvk7F/x5X1QyITsSxMaocfJAeC60XER/3RhWV0kbQdGTN0A2mRXJyMJduU1JIPAd4iO9AZImLPPiybyMHMF8Wa+GlE7N/gmtLhPWqFd3hso34vJB1GKivuIuMXZwBuj4hHStu2IKkQfCLSzdb3i6/V4aqRFpFmlWXaiPhn+b06sA7wKjmu+FjSHqS7+bIR8W6zytmTlDbnNDIebENJK5LCxR8j4rTmlq73UCYj24IMBXlZGfqxB6mcP6/sczqpbFy7LC8REc8WV98v6+2wcvLnzyInSkfSyWS868aRSS3qz3mXXVlLOZeI4mbaHxmw7n/9nMlJl4DVyRfh7xHxedUpRWak2Q/YV9L6EfFZJVB1xY2pkUj3vuWAiyWN348EqrVJd8eVgIMlXQoQ6XZSuQx9GhGP1QQqtUjnPpjM9jQTba5oIxqemrvIXV0RqIrL20JkYGkVh/dr4OeSLiQ1QDeT6cX3krQX8BGZorTfClSFd4FVydTnIwYpZbA+OCJeKNuvIy1+H5XtA06gUvtsTDuSPvJrRcQBpEbxAVLAPIB0+bkrIvYgheu/9WVZS/1PWhafJAU7aJ91csZOjm2Fd3isojZIugRYCngkIv5BJhD5ClhJ0hrAT8lYlfuLQDXY9yuJiKi17Q9C87LJVYPf8vte0oIzN+kCN6gIGReRipcBQXmGDwS+UmaIfpTsM5eUNGdVH/V2tL9TlIqrkYq1dyV9MzL040FgEUlDASLix8D4ki4uy88q4/JfBjasXD9L3XwMTF6EIMj+pJqapN5WdCkba0VE/Ls/C1SALVWtiqQFSReBpclMddeSg45HSZewIAfIH0bG4fTEf44fLRw/1ajtlPQL4P6IuLpoR18gE1Mc37RCdkKt84qqniUtRrpVrAHcERG3dOP8UxTr0w1kJ/gc6bP/Khn3MHlEbFesOt8ln50dI+LNTk/awjRYM2Yg49DGId08b4qID0Zi5RjQQfKVtVLS3uS9PgW4ITKF8C+ApSNi4bLvlMAvgZdKp9qX5ZyFjNe4gdRy/iMitqttn5sc1K0GfD4QheD+QvUuKeMsfh4Rm5b1g8tztRSpBNwcuLqrlnXTfBqsCjuQk7c+HhHXNLdk3aOx/W+4zhnIbMl3R8TPNBoJi/obpR/YOCKWk7Qzme31dFLRehVpbT4/Ij5VxndPERmPj6RlSffey8ixyrkRcYek2UgXv1tJRd3CpMv2quRcgnf16UW2EBaqWphibfgx6bL0MqnVnYL0Y/2QfFE+7mzwOJBoGETPHxG/VwZXXhURt5X1K5D19QPSNN1ydaJ059uVMtlqRNxQ3CzmB4YX7dBo3c9ioXuLTNH7mXJelMnIINMPSdeco0gXyf17+JL6nNoAbybSSvlKRPxa0kqkZfcx4PJKK9yKz0FP0jBYmICMjfhvRBwt6SjSKnpNZYGW9BAZX1gFxq8VEXf2QTk7cm9dkXxWf0jGfp1Dziv4q4i4SzV3VtO3dOTCUwThx0jr54u1fStBfsTgdGx49wYKtTZ1YlIJ90LUEn31FzpQvA4m48Ke7mDfpck5PjeJiP/0YTH7BEmzR8Rr5ffDpJL1GFIBOYx0g5yATC5xCdlnVmET9fHWvaQ171nSInUvKZBOSKZDn5/sY9YiE0HdXPUtYyMDxsTZn1Et+1V9OSKeIt3bXiJduXaIiA3Jwcc6USZ9HegdV/WCKyfq+xFwTNGw3wmcoYwJg3zJ/xcR/2nFOlG6K55Aat+fB84p684hM9LtKWm6rpZd0iSSHiAnAz6qfEPOKTIROf/SV6SF82RgaWW6+X5N6fxXJq0c3ybdGS+NnJj6V8ASZKD1gH834GvX+CXpSjebctLOn5GKmLWU8YdExCoR8VitnelTgUrSfpJ2UMZ0PFqUIj8h3WAr149lS9n+V1l5Td9SE6i+Q7oRb0i6Zp4AbFm5/hTB/bQyMLdA1Q+pKaA+AU7qpwLVCDfTIvxDJiaau6P9y/jqOwNUoDqXnLh5s7LqJ6Q1aW7S6vQ5mVn4H2QGvymjbVJeynirGpeeRCa4uqvsuyspoM1HJrrYmIzHO5KcpP2lXr24FmfA+Mr2R8pDOyTaEgscRs4xNcJ1KXJOhSlJjbyAKyPi7bL/WBH8W17wOUlh5E9ktppDaGso7pX0ODlpbcu5/tWYELgi2tJyv0emDl2OjEt4IzJGoausU47ZvpxvYuW8V/8qjeltkt6IiDsl/Z4Usv7Zo1fUPNYl50+7SukTfrakn5Jzj8xFChUD2spRrDzPF2v1j4C3I+I6SY+Sg98NyTmEjiUF91eUc3dR2pa+SJdepeD9UtKkZIKdV8gspvdL+nakC+rkwMRlMNduQOfBefOQtCuZOfJ4coqCh8gJU2cHHpb0EulJsUX9Pvme9T+qexa1eRP7C2W8VClthpOxQwcDD0fEBx3sW13rVwNUAXAnGfd4sKT/Ab8jQwG+ERGXSroZ2IbMins06eLXjlr/8D4wiaRvk33J8cBvSa+gKyLixbJt9ohYvrcvrNWxUNUkipl9T3KSxPMlzUrOZP0BtNMcBanBnRpo5/M7NghUMEL43A64NiLOkPRNMgD/oMiJ+1YgJ6i7PiJ+3cyyAkgaRjY450fxTS5MQ1pWjgeInKD5MXJ+oOdJ69Xo8B4wpzLOYWNSC7W2pF+TGqUfAtdKWi5yDpkBIVApA2XnJH3CIYNmzyRjxEI5P8a7A/n9KK6PZ5NWg8uAd4DLJP0uMrvTE6TW8CBS+bB75QrSh2VcjhRyVy+rtiAH5WeSwtUQ4CJJ65JZTr9Q+ur/tQhhY4XSqJVocPmbiHQ1X4N07ZmQdFF+E3istLsTRsQ9Zf8BHatoWpOa6+L4ZLvyGnBoWfdpbb9ZyX7hk/rxA0WgkrQAGSLybETcLGkq0kthzbJ+WmBuSZdFxJNFWf9m7fgOhcuIeLr0uXcCm0bEL8v+v68U/BFxN6lsGeux+1/z+A/wCTBPkfKnISd8reIiKsFqUER8RgYHP9y00vYhje6QpaOelhScILPWvAJsLOmHEfGriLgiMq6maa5CSiYl/Y1/GxF/Uc5ID0BEnAVMKGm4pMmUaWwXIzPujEm5nyXd3Z4gB6wvkoPoR4E9I7PoHE4KHf2SxnopDf9XwLlk9sv5y/MxGBiqTALydqWBbEaZ+4KI+BuwD+mGtWbp6A4B7i518BZp1Q1g4Wjzre/LNn9T4JuSLitlPhc4H7iS1CDPQ1o8LiSt8LtExOvVwNwCVd9S+pp6drpPyXneniETUKwUEW9KWkXSnKXdtUBlmoLaMvxGcfdbkLSAn0W2O4cC1yvd5Mcl+8gOs4kOEH4I7EzGTEH2+++ToQEfkRMeb0Aq4oiI22MUmZ5r/cVxpKvfrWWco7rHVM9eRv/GldHH1Dqsr0gT6sdkDMi6pH8rtMXGjBhYRM50PuApHXtlxt9a0sZl03nAZGUA+RWpNXkJWEiZJQxortapuFR9RCaH+I6kX5JpRuuC4qpl3cmkxWrviHh1TModEe9HxEHARhGxLDm/yDWkmf//yj5nRD/NalQb5E1arH91C+7dZAaj2yQdSMlEFLXslQNFA1mhnKW+eh8q7eD/ASdIWjRyzpB7SLesncmELSdFxE21Y/pSUDmVtKJ9S9LZZd1/SpmfLMv3kVkbP4mIf/Vh2UwDRRGxIHCWpCOUKZSfpsR/RqZH/y6p0Ji84VgLVKZPibb4qYXJ2PN/ke3KI6Qny79IxfUBZfx0evHYGFDUlIcHAJcC35B0ETl1xpbAbJFu1aeTczlOJWmcIhuNkAFK3zpY0jdq66r+4gMyE/VCZZwTHexjcPa/piFpe2BlUlhYi3SRmY30bV2QNMteUh8QjS0UAeQC0jo1E9lg3kwKn7uR6eU3JhuQ1cmsd882p7SJpK3IifN+qpwY71DSVWb3mntClUFrgnLYBBHxfg+XY1rSEvBQRBzZk+duBsqEFEeT7hwPNbooKBN9jAd8ELV5XwagQDWEjG1ZAzg1Ip6SdBrZZrxOWrr3ioh/SPoJmfHxtr6uE0n7ke59/yMzS+1MCno3kel4T5B0PJl9al5ySoRDe7tcZtQo06IfT7qbrwr8lXQZ/oS8jy8DiwDbRwb5G9NUJP2AdG8+MCJuL+tmjoi/lt9nAC9HxNmdn6X/U2/fi3fM/aTieUIy7ny7iHhH0twR8aeyXz150CzFs2Z9Mrb1ig7+Y3NyupLP+uiy+iUWqpqApO1ITcqREfHHoh3cljTPXk5mZpk+cmK6sQplrNlBwIwRsY2kmYGfk4kcbiDn0FiKdHV7hGw89okemqtrTFHO/3Q+GSf3NvANUgDcJyLuVy/Hhyj9pysB5LyIOLW3/quvkLQaadHbtbq/ksaJnNx5nKhlKyrbRswF1vel7X2UsXMbAosD8wC/i4idyrYLgc/IVOkjEt309nPXUL7DSXfTS8hspb8gXRI/JQfqL5HJVX5N+vnPEhFnlGMdP9XHNAyqFiAFqjciYrfSDlfuUseTMb1DyXi393y/TDNodDMtSsQ/AmdFxEFFIStS2XQROd3Gts0pbe/SkaKsprgdSqbGn5pUQO9QV9A3vPvDgXfJqTgmi68n9hgSEV90dKz5Onb/6wM68DmdkUwqsGTpnF4ihYah5GDjjUqgUkN80UCjg7qZjqyHRSTNVDROZwDfIVPJPxoRJ5Ha00fIZBBNE6hqA/knSevUKcDgiLiAdEk7SdJs0T5FaW/wb9LdYcf+KlB1UD/jk+4cX0natggOx0uaoFGgghHulwNSoAKIjJO6mxTaxyFjqir2IK0Iq5d9R2S36sMink+2Y5CDmqvK8hqRMWDbku/srBFxiwWq5lIbVK1Mth2/BZaStFBkMP9twPrATJGxbs9ZoDLNoggRXxZ38EMkrUW6E68E/ETS8rXB/hfAxZVANZDGUXXloaQJVaaUqdXPoCIYVdO3fEQqtmjYb3xJ15PhCoeWPqNdYg9JE9cFqvK/FqhGgoWqPqAMqOeStKZybo+jyFmsFwQWKPvcT/rAPlx/aAfyA6z2E8ytrAw2fZOsnweBHSRNGBEPkTN3L0u6ekEmJtg2Ii7s+5Inaov5GVwaqhtJt8XhkoZFxHDS7emXyuQBvXYvI+LLyMDxfmndVPtYuvmLC8MLZfOZwCRkfMcEpNvYWElEvEpafe4F9ikWBSLnrNsgSmamvqZoL/9OWkpnId11nwS+SypIFomcSmA/MhPVCDxA71vqiixJC5GeAB+RCUNuB3YuFoCPSetnuyzBvl+mGZS+di4yOdNXpCX1nMhkCz8i+9kZIuKLogQ4H9r3LQOBmpvfxsD1wIWS1mtUpEXEx0XZO19E3Csn9ugT7P7XB5SH/xAynfDkZCzQr8lJ1d4Aboji5zo2IulY0of/fnKOoc3I+Knvk+4mJ5b9Ws7sXLS8W5EuB6eSab4PIWdxX6vsMxw4OzJtummg5qo2BTmo+y9ppVojcg6m8SIngV2MHPhtGRG/b2aZe5tOXDtGuGFIWpW03L4bEcc27NcnlgRlgpjXamWq7uM2wCakcuQF0i31T1FL6d7R9Zm+Q9I05ETRU5OB/NuU9csA+5OWxr+S01Rc0rSCmrGaqi2rrDPAjuTUMneRltWf14SnM4HFYiyYK0kZ+7QX6dp3FDnX5WrRQYx2rV2uvhcGhgPfI2Mltya9Cv4MrAK8HhEHFyvVJ43nMyPHlqpeRtIitAWYPwGsQGpV5icnUluRzGA3YNM/15E0rqQ9quuVtBOZjGJ5YGKyfi6PiGfIhnNJSUtDWmM6cBfsUyTtJGnr8nsl0opyI5kdZz/gW8DPgH9Luq4ctpMFqs4pDf305IzsV0TEqmTyhXOVST2GSNqSTFBy5EAXqGBEnawsac8ipBARX9Se/0fJ9mSaYlWoH9sXAtXypMVsqVqZKreUS4HHSffEGSPirmiYI8sCVd/SYJ2akIyfuJ6cAHQJSevACDfmk8isjE9UAlWz210z9tGgHJqotBkBHEh6LRwcEedLmkrSghGxG7B2s8rbm3Tw/omMN94QWBTYpi5Q1ceTNQtWKBN7XA4cFRF/i4iDgRUiYv/iWfMeZT5UC1RjhhvKHkbSbpL2krSRpBnIhAo/JjUJB5CT2L5GdmqDyUk5rx/og4zaSz4d8Bxtz95twE5kAzENmalmYUk/jczmc3jUMk21gOvJh8ARkiYDpgSejog7ImIf0vq4WXHF2gf4S7EuDOh7OyZUnYSkQZLGIRUPy1N8uiNiC9KqexjZkb4HfKe4WH5t/qqBhqRtyQmcXwH2knQijHAlVrEO3U5OgN2nkzqXwc5jpJD7QzI+tCrb4PL7WPKeHaWcu800iQY36xkj4j+klvtHpGA+H3CspDMknQv8hRSKF5W0AbREu2vGIopXSvXMHgDcr4wdepLMLHpRRNyknKD6l2TiLyLiQw2g+CkYYWn6SiXMoKyuwkjWBNaLiBckrS9pb2jnIthYF3eR7tnL17a/pQxP+RWZ+W9AZ0rsbSxU9RCSppH0MOm2Ng0ZlP1zYLnIZAuLAvtHxCPkYCOARaI5k3L2OTVtyV+Ax0grxP6RcRgiZ/7eOyLeIyeb3ErS9FHmlWjmIFrSeOX+DoqIq4FbgB1IAeArSfMARMSZwLySFouItyJi72gI8jTtO0xgisikE+eSQsI8xT0Bcp6lzUk3wLsi4mXV/ML7utx9zPzAt0k3yM/JaQWAdu/SfyInaO1TSgc/HWlhXg44p7KWFWty1ZHvRiaS+aivy2jaqA1OTwdOl3QWmdDk1Yi4mXRb3oF8B9+LiDeBB8g5xu5pSqHNWE20JVK4jFRezkCGTfyJFKLWUs7F9AgZh35a/dhmlLmnkTSvpIOLhWlOUgFymqQdybr4kPRYmFDSN0kh663a8U7s0QQcU9UDKFOi3wKcEBHnlnUzk3EF3yJjg3YlZ7M+htQS7hURTzSlwH1MMTnPSr64f4yIX0paF9ieNEXfSlqsLieFT4DjIuKdPi9sB0i6hxSUj42Ia5QxciuQmvptyflb7iczEl5Gxvy80aTitjSVX3f5XU0i+gZZbx+Qc478C7g6ct6M2SLi9SYVt0+QNG7UJvdWJp+4irbYsj0j4s/KFPN/i4hXmlTUqnzTk9MbnEF26hcDT5Hv7Edln5aLfxybKdr+WSJiF0kvk4lEDo2cnuBh4JQiYBnTEpRndrGI2LS0iY8Ct0TE4ZJmJy3k/4u2ufgGTFZKSSuQbf/lpBfPVKRb3qukhfkKsj5+SiZxGka69D3YcJ65SDffq0mL9KCI2FI5rc/RwDeKYrt+zICpx2YwZNS7mJFRJPpvkDEgT5V1gyLir8qYmplIt6XDipvTt0iXnSfKvgM6YFvSyWTWvouA2YGziwXqtOIWtD3wLHAcWTezk/7BH7VQ3ZxMujl9W9KipEvaj8nEI8eWbScDEwFnWqD6OsokFMMi52Ubl+ws/kymoL+YnHtpe/I5+THwPeXEjW+U4wfcIF3SrMBXpa2YkbTs3BERj0i6nKyjYZHzTi1DPmv7ki6BfVnOxk72/4B3gAciJxvejFQqfCbpxIj4bKDdq/5EJ+3mV8B9xVr1XEQcoGQi0m35ra+dyJg+opOB/HtkqAAR8YmkTYHfS3o9Ii4u3zGS4/slkvYnFfFLkO59NwKPRcT+Zbz5CTkf4D8jYgdljOSQMmYaRHpBVaxGzvs5IrEHQERcKGlxUjHcLrHHQKnHZmFLVQ9QXGE2IuOBzo2I52rbjiXnZdmiLFeTsw2YRqAjJA0hhY6XImLn2vqlScvUthFxu6R9gWWAH0XEv2r7NXUQXaxrTxWXsxlIC8rpwBGkGX4Ccm6gpSPi7bLPl9HH8S39gdIRbEvW54tF67gKOefStaQG7j1yQtsfkO4J70bEb5pS4D5AGatyFWnl3I5UKnxIumQ/TyZAOZjMivkUaRk9PCJu6eNy1ieJnIQUqIaQ2aPOBZ6NiE8l7UV23utFJjswTaDBEjwFKbR/IGlXMs7z+sj4z2rw9jjwckS827RCm7Gahmf2u8A/SYvMnGTSlA0j4h9l+5VkW7hWRPyuSUXuNSSdT2Z1nSNKoghJG5LC0NoR8XvldCMbkPNibhwRfyz71WMnJy6C6I6kgDYhcERkHNpUwLQR8ZKkySLiw76+zoHMgI7j6SvKC38PmYL2B2WAXfEcmZii2vfL8j1gBSrITGWky9/bAJLGUSZteIrs3M8rWtKLyYHl8UUQa5V5JRYiY0W2A94nG/mDSeFgYtIqNTGwbRl4/t0C1dcpLmvDItPefijpKDIs6DYydf7fI7M2vQQsSTb89wxwgWo38llai5zH7ArgsojYDPgF6RL5/YjYn7Ta3Q18rxKopL6JL2wQqK4mrYrnkW4p9wC7ABsp5zqanxT6LFA1iXK/qsHpTuQ9ukbSiqR7+q+Bv0qaRdIxZDrmv1qgMs2iQaDai5ywdktSafMSaaW5SNLeku4kY6guI604AwZJk0m6lQwzuJecpgWAyORMF5HzUQ2NiP+R8ce71AQqJ/ZoESxU9RAlzuFOMhDwRzBiLpB9gD80sWjNZElyIskdIpMRVAk5riVdv2aLjJsaTs6ZMg00V+CsBqwRsTc5gFyU1MgPJxunzcjB5S2kGX7yFhAAWxJlhsR1gFOLy980ZPbHH5VdhgLjlt9Lk9q4YxnASDqFDCg+J3JS61NJK91WABFxL2kJnUfSrhHxZETcFhGvqo+SdEiaXjl5dRXkfDeZxfRIcjBzDSkI3kRamc8DXoiSNUoDPOlOK1Ldr/J7DVJg34x0Ib2BTHZyHDn/1Imkm/UqkXGLvl+maRQ31DPIOdPmA/YmrfO/IC1VJ5PJrG4AzifHFR83p7S9xo+AxyNiPdJLYa3iVg1ARBwB/J4UiIiITyLiUWhTQmssT+zRKtj9bzTpyF9dX5+Ucy1y8DgfcEFEnNP3JW0NlPPZ3Ema6x8r68YnX/SdIuKt4tt7Eek69NfmlTZpMKPPQprZ5wcuIF0SflY0PONHxH+bWNSWRW2TNs5KBtO+FhFHKrMUbUZq4+4GriM7zE8iYoP6sU0peC9RrLC3k8k4fguMAzwYGT81Eymo3BgRJ5Z9fwj8OzLbZF+VUeRz/jQZ3PxD8t6sCPyKTG7wEDlB9zgRsWU5bprKdbej9tH0HuWefZ/Mwrg/6UJ7IunSt2PZ5yhyPptFyuBraER8ULYNuFhF0/o0thOSbgNmJF37/kMmZjgEGBptE1PPQCa0ujEijuz7UvceDWOOScjMr9uSyX9+VdvvTjJx0R87OMdYm9ijlbBQNQZIWhlYDHg/cqLL+iByCLA+6RpzQkTcU9/etEI3EUnbkxPizhgR/5N0IRmT9P2I+FzSlOSz2BQ3lE4E5Xb3S9LxwFKkRWXFiHjWA8iRU3y/TyNdJRcGzoqI4UUDtzqZwvVR5dw5b5ZjBuR7okzK8oOIOF0Z67I3mTzg6oj4naSlgLOBkyLiaknjFTePvi7nYODhsvhktMXf7AbMGxG7SdoEuBD4eUQcWr0Hfh/6jga3qZWBdYF3IuIEZfzU8uT9ebrsczPZ/i5Ru18D8l0z/YPS5s1CcUsl0/g/VKwyKNOIH0xmqXuNVFQvUKz5A5LauzkZsAWwBvCTKBlwR/buSvohMGVE/Kwsz01at3aITOxRbzP87vcSFqpGE+WknLuQCQuOBu6LiH3LtuqBH4/MxvJpzZ1srK7oIpR8j3Qj+lelRW02DRqiacl5Wuquiqq51awF7E7ON/Zis8rcHyh1dwEZU3cy8B0yAPd8Utu4Jylo7VsJ02OT1lyZRXJL0vXvsoj4u6QtSGvDSsDH0TbRb6+3HZImjIj/SJqAdFn+CJiDTBhypDLeYRjp+noA+R5fF02YJ8tkEoqIeL+2/G3SGvUEGXNyEqnxvypKQL9yXprHmlFeY+pI2pm0xNwMrEy6Qb8I3EdaZy4pY6chVX88tqEMH9mJdLHeqPKKaRCOxurEHq2IfalHn65Myvm/SqCKQnOK2jpEBt0/D/yh5pbS9ADJmkD1E3Iuh9MlHVJtK+4yVSzLnaSLogWqBlSLyygayKVJ3+5rIuJt0s3vfjLxwqJkjNohdevk2CBQ1ZQsz5NusdMAGyizMF0JfDMiPqyey95uOyQNkXQXOdXB0Ij4DHgB+C7Zti2ozFR4ExmHczOZeOSS0sY1/R0em1AyJ/APSXPUNj1Mvl8rls+x5LP13eJeigUq0ywa+oehwLIRsTQ5J+GU5Px7b5KTUJ8jaaEydBorBKqqX6gT6VJ9FZlkoiOBaqxN7NHKWKgaCcrg+vryxMC85AP8A2CLiHhG0mrKSdbaYWGqPRGxURGuWiXDHzBCa7Y86bb5JbCecu4HoH3ijFYpc6tRE06XJF09f0/OP3aIMubwAzJhyzjku/NZNEw6ODZQbxMi4gHgMdKtdLmy7t2OOtheLM8XpEVqG2C3olx4jBSeJiM79e1Jt5LNyDbv+9Ba7/DYQhlovkoOpm6vhNoy6LqPdKX6VlFWXEJOuO6spKap1PqH1ckkE9NK+gWwKZnZ9CVJS0XGD60ytiguJf1A0nKdjRUj4pWI+GXZV9W3nNijZbFQ1QGSZpU0c2S8z4ySfiZppch5Ay4n5wjYOiL+rLZJOadtZpn7E83259XXs119RmZk25fUxn+7uEJN1ueF68cUn+4LgEsi5744nxzQXaOc3Pb7wJVkoO1Y7c9ds1hdR8aW3Vlta4IyZmngL6Rl4w0yocbKpEXqRtICcmhRKv0Vmv8Oj63UrOaHAr8h41Ao6/5NegOsImnyiPhVRBwztmj7TWtTxkq7kvHUL5LtzoYR8bqkbwHHSpozIn5d9h8wVvC6oqzhut4BRhlLXvd6Kv3DbGRCtHGA/5IC1T9Iq9a9EXEScAeZdOix0o6bPsBCVQPF1eVl4KYS9/ALcr6l3SQdRLrsnALcU7QF5wDHRklvaUZNswZjtQHJV5KmrAlXk5FWlQkiYu3IyTK3AL7fgQBmCh10eteSaeeXKsv/APYDPiWF1vciYnhEBtr2XUlbj1IHlWBVZWPqMwtVQ1neBzYnhd7fkZNaf0hmkoNUJP0wMo1v5eJsgaoJlLarase2AMZVThha8W9yXr3xqhXNeq6MgXbP36dk/zAhmejmV8ANykmoTwZOL1ZYYGB5hdRc9rYBzpV0SnG3vj0i/lTft6O+sfQXS0n6njIj8Xrku753CVN4Gzgd+FLSHKXOA9gvBlimxFbHiSpqKDNcfZ+0WKxEmqaPiYgri9l6DXKyxDOK1mUqMkbo1XK8s1+1KKUxWyUitlOmeT+fTG19Q/lcQWp89gG2Jn27t4mIZ5pU5JametZLA78R8FJE3KvMOHQnsE9dO6b20w7YytGCSNqRTH+/SES8I2nq0llX292+9TGd1Xn1PikTi/yGnJ7gA9KL4tiIuLZPC2pMByjja78bEfuV5bOAcSPihyW8Ynty8P9wRLw8kNsYZaz2N8mxxYXAlxGxWtk2CDgwIo7p5Fgn9ugnjNXa4jrqB5NymjFD0sHkvV1Q0jWk4PxD2gK7NyXjfMYFjgFWJV0ALVB1QhGoVgDuIjvFnxVL7qvkRIY/Kx1qtX8lUMkCVWsSEcPJoOZfleW3G7a7fetD6gPMon2etbb+iyJYfUZOT/A08H/kNBUWqExTkHSqpMslrVJWfQYsIOlaSauRE9u+L2neiPg8Is6JiHOLQDVoILUxdU+O8vsT0sK0HlkvE0u6CUZY/uvJPJzYo58y1luq1A8m5TRjjnIW8XnJtKKDgXvIiWbXVaa+34wM5Lw5Iu4rxwxYbVl3UPv080OBnwNnkG4ID5NZ4+6MiLOKS8dypM+8hah+hKT7yUnLr2x2WcZWGgSq/Unl3njAERFxRW2/juarsSXY9DllfHQK6f79NzKedq+iANiezPq6BNlfHBMRjzerrL1N9Q5KmpyMvz+9jDeWJ9/hFSXNTMawnlRZ8sqx9Xd/dTJu8g4ynnUWYKfIOLSlIuLX1XcfX6LpBFuq0r/39ojYFDiXtFasLmmBiPgbOZ/OppI2K9r2Cy1QtT4lZupWUpi6B5guIj4HDgQWl7Rh5OSqt5ATC26uksHRAlXH1ASqeSOz+e1Batx+CaxNZhs7UNK2EXE8sLEHd/2PiPimBarm0TCo2gz4RkQsBOwM7F80/kDHsW1+50wzKOOjp8iMk9uR2emOK549F5BjqV+RyraFm1XOvqAIVAuSCvsZyjv9P3LC9xcljUMKmWeQ2Vbrx1bv/lib2KM/M9YLVRHxUUScXn6/Tw4QxyfTas9QHthTyMHiZKSLhYN/W5iiEbqcbMDXAIaQSSdmjIgnyAl8j5C0eGTGrJuAMyLilWaVuZWpP+ulMT9HmQb2I2BG4O2IeAl4kswi9yFkJ6uxPCFFf8b3rm9RmcahNqhalnRNnqgMyh4gg9GPljR/80pqTMcUK+pHwMJFUT0DcLKkM4GVi0Vmvog4t5nl7A0kLStp3tqqH5CZcPevKWr/A0xEztt4HJmc4+aG84z1iT36M2O9+19Fg3ZwNdLv9VXg8oj4UNJUUZuo1LQ2kqaNiH+W36sD65D385KI+FjSHsBupK+y7+sokDRBid9A0uFkRszjybjD28iMmQsCp0bE5c0qpzH9EWXClwfIOd4ejpIRTNLGwLqkW+21Zd2p5Lu2drG+G9N0ijAgYC9yXqSFSNf6bUn31clI17d3y/4Dxk21KHK3J4Wf8cqY8Q5y/HilpIki4tOy7zByfqnfRcR7DWNPJ/bo51io6gRJ3yUFq6ujzCHjB7h/0dBYfY9MSvE0cEUxzx9EunN6cswGlFn8voyci20ocCjwYkRcXLafRXagR5Kat82ApxyXZszoI2lp4EHSav4OGYh+UrEW7kymt7+r1hfNWddSG9MqFG+GO4D7I2Ktsm4i4POBmEhB7TPbbkgqPE4gx487AttGxN8lTVXW71cTLE8jE0+cHxEPSVqIVKx8Soaj/IO0eF0UEX9o+N8BI5QOJIY0uwCtRjUYjIjrJL0XZQ4ZcKxNfyMi5wIq9/OXxX1zSeBz4JqIOLbJRWxJJO0KbAncJul6cpD3GrCMpL8WN6RDycQun9OQCtYClTGjR0Q8pUyq8yUZm3impEmA2yLi7OLys66kf0bEc5FZZ/2emZYjIu4r1tS/wQiho7LSDKhntgg21dQGO5EWunmALcjkTfcD90o6qWy/pyZQDSEVk3MCuxar9F4RsY4ysceGtCX2mKLxvy1QtSYWqhpoGIiPmJRzIDUEYxP1+wlcTfp422WmE5QTWi9AClVvVppFSVeTvt0bSvpbRLwi6WHS57ud9tHvijFdp6ZxvgtYKSJ+o5zT5jpgY0mXkwqMv0TEc9Vxfs9MC/NHYIm62zgMvGe2eLzMBGwMTBwRp0p6pyx/EBHHS/oHGad/UkT8EtpNi/AUsDiZ2ON8MrHHG5EZdAeTcVc/JBN7DNhsiQMJu/+ZsYJKsKr7Npv2SJqHdE/YJDJTUbV+TzKL0dvAT8h5cQAeiIhD+rqcxgxEJC0AXAScQ2bWvAi4CriSnODz/rKflXympSnxPytV7uADCbWlS6++7yRjjLeolB7KyXqXBK4F7qtblRrf3xJ7dUxEPCbpSmAjUsC6ISIeqMeHm9bHQpUxBgBJa5FzYGxQXBO+AoaTKXC/AlaNiHfKfpPUAuft221MDyDpOGAfYKuIuKasGxo5hYExpolIGhwly56k6SLiH5KmAO4mY7VPre17ApnI6ZSOYsnG5sQeAxkLVcYYAJSTEV4D/CginiudxQYRcaGko4EpI2KXhmPc0BszGnRkaapZ0pcnJwvdWW0p7aPBjdkY00QknQjMAfyedNv9ALgV2KFmUR6nK4k5xrbEHgMdz0NijKn4J9lBfE/SLBHxfkRcWLZ9BryhhrmLLFAZM2okjV/9LgLSkCJAjVhXfv4eWF/S+hHxVflEwz7GmCZRkk6MQ7rCr0oqHl8CDgYuVJlDrhaPPNJxdnGRPJUUrEYk9oiI/yvWLNOPsFBljAEgcs6ba8ig2iMkLShpcknDSbeE4RaijBk9SqzUkpLGk7SVpCmB75KplOv7DYqcjHxD4M4mFNUYU6NRqFHOR/Vf4EzgQODPEbGPpPEi4kpynqo568d0sc/8IzBfSezxRe1YK1L6GXb/M8a0Q9JswI+AZcl06h9HxDZlm939jOkCxTo1JTAB8FMymP1/EfFNSRNGxH9GcfyI+A1jTN9Sd7eVNAPwVrEy/wzYnUwec3TZvgfwTEQ8Nob/NWATe4xtOKW6MaYdEfE6sK+kScnZ4d8BD/KM6SplkLQF8PuIeFLSh+R0DtsD1AWqosT4PCL+Xj+H3zVjmkODQLUjsAvwuqSjgFuAYZSpRCSdDKxEenmMEcVLxALVAMCWKmNMp9QC6G2hMmY0KMHm45GTfl4JfIuck+baiHi47DMtsA1wXUS81qyyGmOSxgx/wEnAAaRgNSE5vci/yelH/km+45tHxOdOJmMsVBljjDE9QKPyQdKqwA+AX0XEL0oWzXGBS4C1yeD0Nzx3njHNpzb3lEhFyJvA9BGxZbE+H0NaqC4E/gyMW83paE8OA05UYYwxxnQbSZNWApWk5SXNHBEPAlcAy0jaADiWnPPtODIhxWsWqIxpDYpANSlphXoXeBZYRdLmxUXvRGBG4PvkXI2VQDXIApUBx1QZY4wx3ULSEcCgEsR+OjmR538lvQDsCUwNrAu8GxEHFIHrr+VYu9Ya02QkDSbd+04GZgO2iYi3JH0E/EzSXyLicUnHk15eH1XH+v01FbZUGWOMMd3jWmAZ4Ajgw4hYihSilgF2j4jLgZeBnSRNXROoBntAZkxzkLSNpP0gE8NExMfAvcB/gJVKls47gHOAqyRNExG/K/NSGfM1HFNljDHGjAYl5qKdy0+Jn/oZ8Aqwc0R8Imke4H5geUDAOBHxSjPKbIxpo8wX9wAwL3Ao8H5EnF+2/QhYjHTdfaS4Be4AXFa5/BnTEbZUGWOMMaPHJLUMYUvr/9u781i7qiqO498fLRYICGJBqAxFUQRNmdQqItCCAlFCoSBoqxYBBRlEhRAFFRUUAyIQaAIqVahMigyRoagUqYwyVIZSZbBKQYGWoSJTpT//2PvWw7Mg9JWe+977fZIm956zzzs7JDecdfbaa0nrAFcDR1D2XKxfV6H+BFwHLLA9KwFVRHewPZeyd+p6yv6pMZIm1pXkicBMYA9gZB3/I9vPScpzc7yk7KmKiIh4hSTtAEwGhkqaQAmkbqY0+d2b0q/m+8B1klYE1qQ8tEVEd7kTuA242PYZkmYCG0m6krI38oSeFyRdN15OgqqIiIhXyPYVkq6qRSiuBN5Dyfr4LHAOsD2wLqVk+vdsfxFe3FA0IrrCPcBGwChJCyjtDn5A6Uu1OnCE7UdbnF/0MdlTFRER8X/0DIokTaX0sNlA0rKUPVM/BX5ISfn7iO0L6tj0sInoIo2eVNsBV1BWrT5qe7akIcAatv/a7iyjr0luaERExEuoRSmwbUnDJI2op3YEVpL0Jdvzax+b+ZT9Vs82AioloIpoRy2V3vOYGml8M4ALgfE1oFrB9nO2/5r9U/FqJf0vIiLiJXRWpyTtTkkLelLSvcAkSlW/GbVQxS2UimHfWdT1EbF0NV9o1N/vjcAjtp/trFTVXlSm9JPbx/bTneuzfyperUThERERPUj6YC00gaShwL7Ax4GxlPS+fYBngF2Ag4E1gK1sz+ysbkVEe+rq8hBJFwBfBb4BHFrPLahpuwBHAdNbmWT0KwmqIiIiGiStDUwEdqnpQ8tRik/Ms/04pUHofGC07SsoezGOs/14fQOe1amIFkh6e+1BhaT1gHOBy2xvWj8Pk/QFANvz6+91hu1T2pt19BcJqiIiIhpsP0B5oz0O2M72bOAiYH9Jy9p+EHgYGF7HXwYLC1IkZSiiBXUP1D7899n2KWBnYOP6/SbgcmBjSXtBUvxiyUpQFRERA56k4ZLGdr7bnkJZjfqepE0pFcJWBc6v4/ag7NGgcU0KUkS0oFF84nBKr6lDazn0DwD7Shpp+0lK6u71wHqN9L+IJSJBVUREDGiSBgOjgN0kjazHTgIMTAMOAmYD36SUXh4J7Gf7t+3MOCI66gqxYWFhmMHAWEm72r4eOAC4SNIatucCF9j+uu35LU47+qH0qYqIiAFP0jBK0YnNgA2Au2x/rp6bBMwDvmH7iU7Pqk4FsfZmHTGwNfpNDQFGA9Nt/13SrsCBwNdsXyvpROBjtoc1rk1D7liislIVEREDnu2HgCnAI8Cy1Cph1cHA5sCH6tjOW/EEVBEtqgHV24AbKPunJkvayfYvgYuBwyS93fYhwCd6XJuAKpaorFRFRERUkjYGdgdeAI6z/VQ9PtT2nFYnFxEvWmGqlf7OBE6kBFb3UVJ2T7c9RdJplDTez3degmSFKl4rCaoiImJAWdRDlaTBtv9dP48CdgLm2P5Oj3FJ+YtoiaQNgTfZvroWjLkEWJuyj+oXwNHAuyipgF8C/gCsUlshRLymBrc9gYiIiKWp7ofaGtgUeMz2mbb/3QiYpgFDgS3r5vZ/NK5NQBXRnkeBCyTdT6nGOc32/ZLGAdfYPl/Sn4FdgfVt3wQ8npchsTRkpSoiIgaU2qNmf0o1v6OB39g+rJ7rFKFYgfL/yH+1ONWIYGEPKtff5kTgk8AOtq+t50cCPwe+TSk4c6ntU1ubcAxIKVQREREDzUbA9sBywPPAeZ0TjSIUTyegimhfowfVKrX9wQmUNgenSloHwPaN9diHgQs7AVUNxiKWiqxURUREvyXpdbafb3xfETgHeJYSVB1i+z5Jo4EHbN/T0lQj4iVI2gI4BbgXmAEcAxwJbGl7W0n7ADcBd6YgRbQlQVVERPQ7koYDC2z/TdJalJ41l9m+RtIewGRgtdp36n2U6mGH2Z7W2qQj4n9I2hkYA/yYUgtgNLCO7QmSJgMrA8OBnWzPqtckoIqlLkFVRET0K5LGUFaj7gY+A3wXeJKS8j6d8sb7CGAUcCOwJaWx7yUtTDciGnqUTF8B+BWwuu131WNrUfZOTQJ+D4ygNOuen4IU0abkmkZERL8h6UBKwLQjcBHwM+As23sCPwTeAHza9uGUpr5TgN07AZUktTHviABJgxoB1etsP00pKrOipP0BbM+m9JFbw/YC29NrQDUoAVW0KSXVIyKiX5B0ArAX8OXax+ZWYDtgPHC27V9LWgkYLemAZnWwzhvupAxFtKOuUL0gaU3gR8AsSTfbniRpAnCGpEHA74D3Axc2r7f9wlKfdERDVqoiIqJPkzRY0hTgzcBxwNqStrI9DxhHqRp2WB1+CXAXMLf5N/KGO6IdkoZJGlLLpY+gpPudAUwFTpO0i+2rgWMpqbxfBsbbvrS1SUcsQvZURUREnybp9cAE2ydLWpXy0LUAONf2XZLeC0wEjrd9bn2Ae67NOUcESDqYkqo7EbgG2AB4PfB3Srru7cAOwDjb19bxY21vXa/PHqroGgmqIiKiX5G0CWWFai5lP9WDkj4BHA5sBfzT9oJUCItoj6STgc2A/YD76/4pJC0PnEV5KfILSZcCG1JS/uYAZwMP2f5iOzOPWLTsqYqIiH6hEyTZnl5XrHYCxkiabPtsSVfafrIzPgFVRDskbUgpg75tc9W4/oafkfQIsLKkocD9wHW2H65j9gKeaWHaES8re6oiIqJfaAZJtq8CrgXeC2xRj81Jdb+IrjCc0kfuOUnLdg7WfVWDgJnA+4BbgJm2j4GF6X5P54VIdKOk/0VERL/So8/NKNtT255TRPyXpHWA84HP2761HhtUq/+tB6wG3Au8xfbN9XzSdaOrZaUqIiL6lfq2W/XzVEj/qYgu8w/gcmC32sy3WRL9QGA9248loIq+JEFVRET0Oz0fwPJAFtE9bD8PnAcsBxwj6Z2SVpF0OrARpSl3c3x+v9H1kv4XEREREUtdTfU7ABhJqdb5hO0J9VzKpUefkqAqIiIiIlpTe80t36jwN6iRDhjRJySoioiIiIhWdfZNZYUq+qoEVREREREREb2QQhURERERERG9kKAqIiIiIiKiFxJURURERERE9EKCqoiIiIiIiF5IUBUREV1DkiWd1fg+WNKjkn61mH9vP0mfeoVj95I0vf57XtId9fOxkr4labs67hBJKzSumyVp6OLMLyIi+odU/4uIiK4h6SngHmAL289I2hH4LjDb9keX4jxmAe+2Pef/nXu5sRERMTBkpSoiIrrN5cBH6uePA+d0TkhaVdJFkm6XdIOkEZKWqatFqzTG3SvpTZKOknRoPfZWSVdIukXSNEnveKUTkvQTSbtJOhgYBkyVNHUR48ZLuqmucJ0madDi/SeIiIi+JEFVRER0m3OBPSUtB4wAbmyc+yZwm+0RwFeBM2uj0IuBXQAkjQRm2X64x989HTjI9ubAocDEVzsx2ycDDwGjbI9qnpO0IbAH8AHbmwAvAONe7T0iIqLvGdz2BCIiIpps3y5pOGWV6rIep7cExtZxV0l6o6SVgfOArwOTgD3r94UkrQhsAfxcUufwkCU89W2BzYE/1HssDzyyhO8RERFdKEFVRER0o0uA44FtgDc2jmsRYw1cD6wvaTVgDHB0jzHLAE/UFaTXioCf2v7Ka3iPiIjoQkn/i4iIbnQG8C3bd/Q4fg01pU7SNsAc2/Ncqi5dCJwA3G17bvMi2/OAv0javV4rSRsv5tz+Cay0iOO/BXaTtHq9x6qS1l3Me0RERB+SoCoiIrqO7dm2T1rEqaOAd0u6HTgW+HTj3HnAeHqk/jWMA/aW9EfgLmDnxZze6cDlPQtV2J4BHAlcWef3a2DNxbxHRET0ISmpHhERERER0QtZqYqIiIiIiOiFBFURERERERG9kKAqIiIiIiKiFxJURURERERE9EKCqoiIiIiIiF5IUBUREREREdELCaoiIiIiIiJ64T8G+ubr+Fl4AwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ratings_sorted = ratings.sort_values(by='numvotes', ascending=False)\n",
    "\n",
    "# Select the top 20 movies\n",
    "top_n = 20  # Number of top movies to display\n",
    "top_movies = ratings_sorted.head(top_n)\n",
    "\n",
    "# Create a bar plot using the top 20 movies\n",
    "plt.figure(figsize=(12, 6))\n",
    "ax = sns.barplot(x=\"movie_title\", y=\"numvotes\", data=top_movies, ci=False)\n",
    "plt.title(f\"Top 20 Movies by Number of Votes\")\n",
    "plt.xticks(rotation=40)\n",
    "plt.xlabel(\"Movie Title\")\n",
    "plt.ylabel(\"Number of Votes\")\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Comparing The Movie Title with Domestic Gross\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(x=\"movie_title\", y=\"domestic_gross\", data=ratings.iloc[::10], palette=\"inferno\")\n",
    "plt.title(\"Movie Title vs Total Domestic Gross (Every 10th Movie)\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel(\"Movie Title\")\n",
    "plt.ylabel(\"Total Domestic Gross\")\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Select every 10th movie title\n",
    "n = 10\n",
    "selected_titles = ratings.iloc[::n]['movie_title']\n",
    "\n",
    "# Filter the data to include only the selected movie titles\n",
    "filtered_data = ratings[ratings['movie_title'].isin(selected_titles)]\n",
    "\n",
    "# Create a scatter plot using the filtered data\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.scatterplot(x=\"movie_title\", y=\"foreign_gross\", data=filtered_data,\n",
    "                hue=\"numvotes\", style=\"year\", size=\"numvotes\", palette=\"inferno\")\n",
    "plt.title(\"Title vs Foreign Gross (Every 10th Movie)\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel(\"Movie Title\")\n",
    "plt.ylabel(\"Foreign Gross\")\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Sort the data by 'foreign_gross' in descending order and select the top 10 movie titles\n",
    "top_n = 10  # Replace with the desired number of top movie titles\n",
    "top_movies = ratings.nlargest(top_n, 'foreign_gross')\n",
    "\n",
    "# Create a scatter plot using the top 10 movies\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.scatterplot(x=\"movie_title\", y=\"foreign_gross\", data=top_movies,\n",
    "                hue=\"numvotes\", style=\"year\", size=\"numvotes\", palette=\"inferno\")\n",
    "plt.title(f\"Top {top_n} Movies by Foreign Gross\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel(\"Movie Title\")\n",
    "plt.ylabel(\"Foreign Gross\")\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Relating and investigating movie titles and the amount accumulated from foreign countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Ploting with top 10 and 10th values\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Assuming you have imported your 'ratings' DataFrame with the necessary data\n",
    "\n",
    "# Sort the data by 'foreign_gross' in descending order and select the top 10 movie titles\n",
    "top_n = 10  # Number of top movie titles to display\n",
    "top_movies = ratings.nlargest(top_n, 'foreign_gross')\n",
    "\n",
    "# Select every 10th movie title\n",
    "n = 10  # Display every 10th movie title\n",
    "selected_titles = ratings.iloc[::n]['movie_title']\n",
    "\n",
    "# Filter the data to include only the top 10 movies and every 10th movie title\n",
    "filtered_data = ratings[(ratings['movie_title'].isin(selected_titles)) | (ratings['movie_title'].isin(top_movies['movie_title']))]\n",
    "\n",
    "# Create a bar plot using the filtered data\n",
    "plt.figure(figsize=(12, 6))\n",
    "ax = sns.barplot(x=\"movie_title\", y=\"foreign_gross\", data=filtered_data, ci=False)\n",
    "plt.title(\"Movie Title vs Foreign Gross (Top 10 and Every 10th)\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel(\"Movie Title\")\n",
    "plt.ylabel(\"Foreign Gross\")\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Relation of Movie titles with the domestic home gross"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Sort the data by 'domestic_gross' in descending order and select the top 10 movie titles\n",
    "top_n = 10  # Number of top movie titles to display\n",
    "top_movies = ratings.nlargest(top_n, 'domestic_gross')\n",
    "\n",
    "# Select every 10th movie title\n",
    "n = 10  # Display every 10th movie title\n",
    "selected_titles = ratings.iloc[::n]['movie_title']\n",
    "\n",
    "# Combine the two sets of movie titles\n",
    "filtered_titles = list(set(selected_titles) | set(top_movies['movie_title']))\n",
    "\n",
    "# Filter the data to include only the selected movie titles\n",
    "filtered_data = ratings[ratings['movie_title'].isin(filtered_titles)]\n",
    "\n",
    "# Create a bar plot using the filtered data\n",
    "plt.figure(figsize=(12, 6))\n",
    "ax = sns.barplot(x=\"movie_title\", y=\"domestic_gross\", data=filtered_data, ci=False)\n",
    "plt.title(\"Movie Title vs Domestic Gross (Top 10 and Every 10th)\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel(\"Movie Title\")\n",
    "plt.ylabel(\"Domestic Gross\")\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Relation between genres and the number of people watching"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_n = 10  # Number of top genres to display\n",
    "top_genres = ratings.groupby(\"genres\")[\"numvotes\"].sum().nlargest(top_n).index\n",
    "\n",
    "# Select every 10th genre\n",
    "n = 10  # Display every 10th genre\n",
    "selected_genres = ratings['genres'].unique()[::n]\n",
    "\n",
    "# Combine the two sets of genres\n",
    "filtered_genres = list(set(selected_genres) | set(top_genres))\n",
    "\n",
    "# Filter the data to include only the selected genres\n",
    "filtered_data = ratings[ratings['genres'].isin(filtered_genres)]\n",
    "\n",
    "# Create a bar plot using the filtered data\n",
    "plt.figure(figsize=(12, 6))\n",
    "ax = sns.barplot(x=\"genres\", y=\"numvotes\", data=filtered_data, ci=False)\n",
    "plt.title(\"Number of People Watching (Top 10 and Every 10th Genre)\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel(\"Genres\")\n",
    "plt.ylabel(\"Number of Votes\")\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Checking whether the no. of people watch movies by genres over the years "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_n = 10  # Number of top genres to display\n",
    "top_genres = ratings.groupby(\"genres\")[\"foreign_gross\"].sum().nlargest(top_n).index\n",
    "\n",
    "# Select every 10th genre\n",
    "n = 10  # Display every 10th genre\n",
    "selected_genres = ratings['genres'].unique()[::n]\n",
    "\n",
    "# Combine the two sets of genres\n",
    "filtered_genres = list(set(selected_genres) | set(top_genres))\n",
    "\n",
    "# Filter the data to include only the selected genres\n",
    "filtered_data = ratings[ratings['genres'].isin(filtered_genres)]\n",
    "\n",
    "# Create a scatter plot using the filtered data\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.scatterplot(x=\"genres\", y=\"foreign_gross\", data=filtered_data,\n",
    "                hue=\"numvotes\", style=\"year\", size=\"numvotes\", palette=\"inferno\")\n",
    "plt.title(\"Genre vs Foreign Gross (Top 10 and Every 10th Genre)\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel(\"Genres\")\n",
    "plt.ylabel(\"Foreign Gross\")\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Relation of movie genres and the amount of gross from foreign countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+LslFRMysZ1HSuv5I6Rn1/Lz3xaRJOo7So2vXkQqZERExpJcpghEREREREbNR71awIiIiIiIiZqtxjSebWWONNbz22mu3DiMiIiIiImKRTjvttL/Znjd6vFcTrLXXXptTTz21dRgRERERERGLJOmycceTIhgRERERETFDMsGKiIiIiIiYIZlgRUREREREzJBMsCIiIiIiImZIJlgREREREREzJBOsiIiIiIiIGTKxCZak9SSdOfTvKkm7T2q8iIiIiIiI1ibWB8v2hcAGAJKWBf4AHDap8SIiIiIiIlqrlSL4BOC3tsc244qIiIiIiJgLJraCNeL5wIHjbpD0cuDlAGuttValcCIiItp5xiHfqTreEds9u+p4ERFLs4mvYEm6PfBM4Fvjbre9r+2NbW88b968SYcTERERERExMTVSBLcCTrf9lwpjRURERERENFNjgrUD06QHRkREREREzCUTnWBJWhF4EvDtSY4TERERERHRBxMtcmH7WuDOkxwjIiIiIiKiL2qVaY+IiIiIiJjzMsGKiIiIiIiYIZlgRUREREREzJBMsCIiIiIiImZIJlgREREREREzJBOsiIiIiIiIGZIJVkRERERExAzJBCsiIiIiImKGZIIVERERERExQzLBioiIiIiImCGZYEVERERERMyQTLAiIiIiIiJmSCZYERERERERMyQTrIiIiIiIiBmSCVZERERERMQMyQQrIiIiIiJihmSCFRERERERMUMywYqIiIiIiJghmWBFRERERETMkEywIiIiIiIiZkgmWBERERERETNkohMsSatJOkTSBZLOl7TpJMeLiIiIiIho6XYT/v37AEfZ3k7S7YEVJzxeREREREREMxObYElaBdgceDGA7RuAGyY1XkRERERERGuTTBFcB7gC2F/SGZL2k7TS6DdJermkUyWdesUVV0wwnIiIiIiIiMma5ATrdsBGwGdtbwhcA7xt9Jts72t7Y9sbz5s3b4LhRERERERETNYkJ1iXA5fbPqn7+hDKhCsiIiIiImJOmtgEy/afgd9LWq879ATgV5MaLyIiIiIiorVJVxF8LXBAV0HwYmCXCY8XERE99fRD96021ve3fXm1sSIiIoZNdIJl+0xg40mOERERERER0RcTbTQcERERERGxNMkEKyIiIiIiYoZkghURERERETFDMsGKiIiIiIiYIZlgRUREREREzJBMsCIiIiIiImZIJlgREREREREzJBOsiIiIiIiIGZIJVkRERERExAzJBCsiIiIiImKGZIIVERERERExQzLBioiIiIiImCGZYEVERERERMyQTLAiIiIiIiJmSCZYERERERERMyQTrIiIiIiIiBmSCVZERERERMQMyQQrIiIiIiJihmSCFRERERERMUMywYqIiIiIiJghmWBFRERERETMkNtN8pdLuhS4GrgJ+K/tjSc5XkREREREREsTnWB1trD9twrjRERERERENJUUwYiIiIiIiBky6QmWgWMknSbp5eO+QdLLJZ0q6dQrrrhiwuFERERERERMzqQnWI+xvRGwFbCrpM1Hv8H2vrY3tr3xvHnzJhxORERERETE5Ex0gmX7j93HvwKHAY+Y5HgREREREREtTWyCJWklSXccfA48GTh3UuNFRERERES0NskqgncFDpM0GOcbto+a4HgRERERERFNTWyCZftiYP1J/f6IiIiIiIi+SZn2iIiIiIiIGZIJVkRERERExAxZ7ARL0nOHilW8U9K3JW00+dAiIiIiIiJmlyVZwfp/tq+WtBnwFOArwGcnG1ZERERERMTssyQTrJu6j08HPmv7u8DtJxdSRERERETE7LQkE6w/SPo88DzgSEl3WMKfi4iIiIiIWKosyUTpecDRwFNt/xO4E/DmSQYVERERERExGy1JH6y7A9+3/R9JjwceBnx1kkFFRERERETMRkuygnUocJOk+wJfBO4DfGOiUUVERERERMxCSzLButn2f4HnAB+3/XrKqlZEREREREQMWZIJ1o2SdgBeCHyvO7bc5EKKiIiIiIiYnZZkgrULsCnwPtuXSLoP8PXJhhURERERETH7LHaCZftXwJuAcyQ9BLjc9gcmHllERERERMQss9gqgl3lwK8AlwIC7iXpRbaPn2hkERERERERs8ySlGnfG3iy7QsBJN0fOBB4+CQDi4jZ533ffEq1sd6x/dHVxoqIiIhYUkuyB2u5weQKwPavSZGLiIiIiIiIhSzJCtZpkr4IfK37eifgtMmFFBERERERMTstyQTrlcCuwOsoe7COBz4zyaAiIiIiIiJmo0VOsCQtA5xm+yHAR+uEFLF4R3/xadXGespLj6w2VkRERETMbovcg2X7ZuAsSWtViiciIiIiImLWWpIUwbsD50k6GbhmcND2MycWVURERERExCy0JBOs99yWASQtC5wK/MH21rfld0VERERERPTZYidYtn96G8fYDTgfWOU2/p6IiIiIiIhem3YPlqSXSnrz0NeXS7pK0tWSXrUkv1zSPYGnA/vd9lAjIiIiIiL6bVFFLl4JfGno6ytsrwLMA3ZYwt//ceAtwM23KrqIiIiIiIhZZFEpgsvY/vvQ198CsH29pBUW94slbQ381fZpkh6/iO97OfBygLXW6l+xwr989sPVxrrrq968+G+KiIiIiIjeWtQK1qrDX9h+P8zvjXXnJfjdjwGeKelS4CBgS0lfH/0m2/va3tj2xvPmzVviwCMiIiIiIvpmUROsYyS9d8zxPYFjFveLbf+v7XvaXht4PvAT2zvfujAjIiIiIiL6b1Epgm8G9pN0EXBWd2x9Ssn1/5l0YBEREREREbPNtBMs29cAO0haB3hwd/hXtn97SwexfRxw3K0JMCIiIiIiYrZYkj5YFwMXV4glIiIiIiJiVlvUHqyIiIiIiIi4BRa7ghX98LtPbFdtrLVed0i1sSIiIiIi5pIlmmBJWha46/D32/7dpIKKiIiIiIiYjRY7wZL0WmAP4C/Azd1hAw+bYFwRERERERGzzpKsYO0GrGf775MOJiIiIiIiYjZbkiIXvwf+NelAIiIiIiIiZrslWcG6GDhO0veB/wwO2v7oxKKKiIiIiIiYhZZkgvW77t/tu38RERERERExxpI0Gn5PjUAiIiIiIiJmuyWpIngEpWrgsH8BpwKft339JAKLiIiIiIiYbZakyMXFwL+BL3T/rqKUbL9/93VERERERESwZHuwNrS9+dDXR0g63vbmks6bVGARERERERGzzZKsYM2TtNbgi+7zNbovb5hIVBEREREREbPQkqxgvRE4QdJvAQH3AV4taSXgK5MMLiIiIiIiYjZZkiqCR0q6H/AAygTrgqHCFh+fYGwRERERERGzyrQTLElb2v6JpOeM3LSOJGx/e8KxRUREREREzCqLWsF6HPAT4BljbjOQCVZERERERMSQaSdYtvfoPu5SL5yIiIiIiIjZa7FVBCXdVdIXJf2g+/pBkl46+dAiIiIiIiJmlyUp0/5l4Ghgze7rXwO7TyieiIiIiIiIWWtJJlhr2D4YuBnA9n+BmyYaVURERERExCy0JBOsayTdmVLYAkmPAv61uB+StLykkyWdJek8Se+5jbFGRERERET02pI0Gn4DcDiwrqSfA/OA7Zbg5/4DbGn735KWozQr/oHtX976cCMiIiIiIvprkRMsSctSyrU/DliP0mj4Qts3Lu4X2zbw7+7L5bp/vk3RRkRERERE9NgiUwRt3wQ8y/Z/bZ9n+9wlmVwNSFpW0pnAX4Ef2j5pzPe8XNKpkk694oorbmn8ERERERERvbEke7B+LulTkh4raaPBvyX55bZvsr0BcE/gEZIeMuZ79rW9se2N582bd8uij4iIiIiI6JEl2YP16O7jnkPHDGy5pIPY/qek44CnAucucXQRERERERGzyGInWLa3uDW/WNI84MZucrUC8ETgg7fmd0VERERERMwGi51gSVoV2APYvDv0U2BP24sr1X534CtdoYxlgINtf++2BBsRsSR2Oeyp1cbaf5ujqo0VERER/bckKYJfoqT1Pa/7+gXA/sBzFvVDts8GNrxN0UVERERERMwiSzLBWtf2tkNfv6erDBgRERERERFDlqSK4HWSNht8IekxwHWTCykiIiIiImJ2WpIVrFcCX+32YgFcCbxociFFRERERETMTtNOsCStZft3ts8C1pe0CoDtq6pFFxERERERMYssKkXwO4NPJB1q+6pMriIiIiIiIqa3qAmWhj5fZ9KBREREREREzHaLmmB5ms8jIiIiIiJijEUVuVhf0lWUlawVus/pvrbtVSYeXURERERExCwy7QTL9rI1A4mIiIiIiJjtlqQPVkRERERERCyBTLAiIiIiIiJmSCZYERERERERMyQTrIiIiIiIiBmSCVZERERERMQMyQQrIiIiIiJihmSCFRERERERMUMW1Wg4IiJug6d9543Vxjry2XtXGysiIqIv/vqpH1Qb6y6v2WqJvi8rWBERERERETMkE6yIiIiIiIgZkglWRERERETEDMkEKyIiIiIiYoZMbIIl6V6SjpV0vqTzJO02qbEiIiIiIiL6YJJVBP8LvNH26ZLuCJwm6Ye2fzXBMSMiIiIiIpqZ2AqW7T/ZPr37/GrgfOAekxovIiIiIiKitSp7sCStDWwInDTmtpdLOlXSqVdccUWNcCIiIiIiIiZi4hMsSSsDhwK7275q9Hbb+9re2PbG8+bNm3Q4EREREREREzPRCZak5SiTqwNsf3uSY0VERERERLQ2ySqCAr4InG/7o5MaJyIiIiIioi8muYL1GOAFwJaSzuz+PW2C40VERERERDQ1sTLttk8ANKnfHxERERER0TdVqghGREREREQsDTLBioiIiIiImCETSxGMiIh+ePphH6421ve3eXO1sSIiIvooK1gREREREREzJBOsiIiIiIiIGZIJVkRERERExAzJBCsiIiIiImKGZIIVERERERExQzLBioiIiIiImCGZYEVERERERMyQTLAiIiIiIiJmSCZYERERERERMyQTrIiIiIiIiBmSCVZERERERMQMyQQrIiIiIiJihmSCFRERERERMUMywYqIiIiIiJghmWBFRERERETMkEywIiIiIiIiZsjtWgcQEREREdF3l378z9XGWnv3u1UbK2ZeVrAiIiIiIiJmyMQmWJK+JOmvks6d1BgRERERERF9MskUwS8DnwK+OsExIiIi4lZ69iE/rjred7Z7QtXxIiJamNgKlu3jgX9M6vdHRERERET0TfM9WJJeLulUSadeccUVrcOJiIiIiIi41ZpPsGzva3tj2xvPmzevdTgRERERERG3Wsq0R9wG39z/qdXG2n6Xo6qNFRERERG3TvMVrIiIiIiIiLlikmXaDwROBNaTdLmkl05qrIiIiIiIiD6YWIqg7R0m9bsjIiIiIiL6KHuwIiIiIiJmiT/vfUG1se72xgdUG2suyR6siIiIiIiIGZIJVkRERERExAxJimDcIqd8/hnVxtrkFUdUGysiIiIiYiZkBSsiIiIiImKG9HYF64rPfr3aWPNetXO1sSIiIiIiYu7q7QQrIiJipm19yAFVx/vedjtVHS8iItpLimBERERERMQMyQQrIiIiIiJihmSCFRERERERMUOyBytiDvj8155SbaxXvODoamNFREREzDZZwYqIiIiIiJghmWBFRERERETMkEywIiIiIiIiZkgmWBERERERETMkE6yIiIiIiIgZkglWRERERETEDMkEKyIiIiIiYoakD1ZEREQ0td2hp1cd75BtN6o6XkQsXbKCFRERERERMUMywYqIiIiIiJghE00RlPRUYB9gWWA/2x+Y5HgRERERs91+3/5rtbH+5zl3qTZWxNJiYhMsScsCnwaeBFwOnCLpcNu/mtSYEREREbfW6w77fbWxPrHNvaqNFRF1TTJF8BHARbYvtn0DcBDwrAmOFxERERER0ZRsT+YXS9sBT7X9P93XLwAeafs1I9/3cuDl3ZfrARfexqHXAP52G3/HTOhDHH2IARLHqMQxVeKYKnFMlTimShxTJY6pEsdUiWOqxDHVTMRxb9vzRg9Ocg+WxhxbaDZne19g3xkbVDrV9sYz9ftmcxx9iCFxJI7EkTgSR+JIHIkjcSSOpSmOSaYIXg4MJxjfE/jjBMeLiIiIiIhoapITrFOA+0m6j6TbA88HDp/geBEREREREU1NLEXQ9n8lvQY4mlKm/Uu2z5vUeENmLN3wNupDHH2IARLHqMQxVeKYKnFMlTimShxTJY6pEsdUiWOqxDHVxOKYWJGLiIiIiIiIpc0kUwQjIiIiIiKWKplgRUREREREzJBMsCIiIiIiImZIJlgREREREREzJBOsOUbSaySt3oM4lu1BDL24L/pE0taSmr7uJZ0qadc8NkUfXisAku7UgxiWlfT1xjGs0n2807h/DeLpy/NjWUmvbx1Hn0i6z5Icm+D4vXmutr4vRsbtxWumDyR9cEmOVYrl3pKe2H2+gqQ7Noih2nnhrJ9gSZon6SOSjpT0k8G/iuO/pfv4SUmfGP1XK44hdwNOkXSwpKdKUoMYAC6S9GFJD2o0PvTgvpB0QvfxaklXDf27WtJVteOh9KP7jaQPSXpgg/EHMaxJeWwOkvSURo/NHSTtKOntkt41+Fc7DvrxWgE4SdK3JD2t1fuG7ZuAeV3vxFa+0X08bcy/UxvE04vnR/fYPKvV+JJ27j6+Ydy/RmEdOubYIRXH79NztfV9Maz5a0bSVyStNvT16pK+1CCUJ405tlXtICS9jPJ8+Hx36J7Ad2rHQcXzwon1waroAOCbwNOBVwIvAq6oOP6vuo8t/vAuxPY7Jf0/4MnALsCnJB0MfNH2byuG8jDKifR+3YrJl4CDbFebVPTkvtipi6X6lZpxbO/cXfXcAdhfkoH9gQNtX10phouAd3SPzdaU58bN3R+ffWz/o0YcwHeBf1FORv5Tacxxmr9WOvcHngi8BPikpG8CX7b968pxXAr8XNLhwDWDg7Y/Wmn893XjNbn6PkZfnh9QHpdPUf7mDj82p1cYe8XuY/P3UkkPAB4MrCrpOUM3rQIsXzGU5s/VHt0Xw/rwmnmY7X8OvrB9paQNaw0u6VXAq4F1JZ09dNMdgZ/XimPIrsAjgJMAbP9G0l1qB1HzvHDW98GSdJrth0s62/bDumM/tf24SuN/2faLu89fZPsrNcZdHEnrU548TwWOBR4F/ND2WxrEsjlwILAa5QrGXt1Jdq3xm90Xkk63vVH3+aG2t530mEtC0hrAzsDuwPnAfYFP2P5kpfEfRnlMnkZpRn4AsBnwAtsbVIrhXNsPqTHWkmr9WhmKYwvg68BKwFnA22yfWGnsPcYdt/2eSuMPv2ZPtL1pjXGXROvnh6Rjxxy27S0rjP1+22/vPn+S7R9OesxFxPIs4NnAM4HDh266mnIi/4tKcTR/rvblvphOq9eMpLOAx9u+svv6TsBPbT900mN3460KrA78H/C2oZuurngRcziek2w/UtIZtjeUdDvg9MF5e4N4Jn9eaHtW/wN+2X08mrKKtSHw24rjnz7u84b3x+soV+SPBp4LLNcdX6by/bIs5Q33MOAM4A3AXYHtgF8vLfcFcMa4zxs+PwaPydnAm4G7dMdXBC6rFMNpwI+BHYE7jNz27Yr3xb7AQ3vwmDR/rXRx3BnYjbIa/33gOZQsh42BSxrcLys1ejzOGPf50v78aP2vh39rlwXe3jiGM8Z9vjTeF2PiaX3+8ULKxcu9un8XUC4g1rwflgHObf14dLF8CHh7dz88qXts3tcgjmrnhXMhRfC93Uz9jcAnKcvSS/NG3DWA59i+bPig7ZslbV0xjt9Qrgp82FOvYB3SXVGqoQ/3haf5vJVtgY/ZPn74oO1rJb2kUgzPtX3xuBtsP2fc8QnZDHixpEsoKYIqIVS/otaH1wrAicDXgGfbvnzo+KmSPlcrCEmbAl8EVgbW6q40vsL2qyuFsIzKJuhlhj6fn6fv+ld/+/L8QNJdgfcDa9reqtvjsqntL9aMow9s3yTpSZT7o5VePFd7cl8Ma/6asf1VSacCW1Iek+fY/tVifmymY7hZ0lmS1rL9u5pjj/E24KXAOcArgCOB/RrEUe28cNanCLYm6a/AQZQX0Pbd5/PZfl2lOBZZMajmSYFKBZ932N6z1pjTxLEucLnt/0h6PCUv+6seyouuEMNNlL0KAlYArh3cRDmZX6ViLMsCR9t+Yq0xR8Zf5EZ019tjA5SKRtPEcdm44xOMY2Xb/6455jRxyD34gyDpJMqV5sNtb9gdq5bOKelS4GaGTlSH2PY6NeIYiqcXzw8AST+g7Nl8h+31uzSfM1wh7UnS5cBHKY/L67vP56v9/tHF9D5gVdrsSevVc7X1fTEUR9PzD0mr2L5qunOy2hdoVIq+bQKczNTH5ZmV41gJuN6lWM7gcbqD7WsX/ZMzNn71c+RZv4KlUgb0tcDaDP1/Kj553jz0ectCF6dRVkgErAVc2X2+GvA7oNom2O5q1hZA0wkWparRxpLuS7kifjil6tLTagVguzflYrvH5VpJq9r+V4MQBpvT16O84Q/y9Z8BHD/2JybI9mXd6shju0M/s31WrfElfZJuVXNcIaOKF2eOWEwcVf8Qd2P+fiSWmyqOvXatsZbQuyS9F7gOOApYH9jddoty9mvYPljS/wLY/m93EamGL7DgPWT485Ye3X0c/ltnyqrFxPXsudr0vpg/YPvzj29QijcNzskG1H1d9QINUGXv6hL4MaWI0uBi0QrAMSx43kxa9XPkWT/BopR5/CJwBOVKTlUeU9RC0t1s/7lyHPfpxv4c5crvkd3XW1Ge1LX9omG1qYGbuxOAbYCP2/6kpDMqjj+WpJfb3rfR8NcD50j6IVMfl4mfzLsrUiDpGGAjd1ULJb0b+Nakxx8laTfgZcC3u0Nfl7SvKxX6oCeVR4GPdB+fQylhOzhx34FS0a+230t6NGCVcu2vo+xlaEbSu22/u9HwT7b9lu597HLKvoFjWfA41XSNpDuzYEL+KEolzolzpSInt4TtLVrHMKrVc7Vn90Wz8w/bW3cfe1GF1PZPu9TeTbpDJ9v+a4NQlh9eibf9b0krLuoHZlKLc+RZnyI4qEzSOo5hw5V9Gox9mu2Hjxw71fbGleNoVm1qKIaTgI8D7wCeYfuSPlSOa/z8eNG44+MuFEwwhguA9W3/p/v6DsBZth9QK4Zu3LMp+0eu6b5eCTixwR6sXpB0vO3NF3esQhxrAPtQ/uiJcpVzN9t/rxnHSEwtX7Pn2X6wpC8Ah9o+StJZttdvEMtGlL3ODwHOBeYB29k+e5E/OLl4mj0u3firAnsAg9fIT4E9G2UIDGJqcp/06b7oyfnHY4AzbV+j0sNtI8qF3qp7oSQ9D/gwcBzl/fSxwJttV+1RJunnwGsHk1xJDwc+5cqVL2ueI8+FFax9VMr6HsNQL5vaeb8jWjX3BfibpHdSrm6aUoq7+olJT65m7ULpjfa+bnJ1H9pc9R3V7PlRcyK1CF8DTpZ0GOU5ug3w1QZxiKmpZzdR8bGR9HHbuw+n6A1rkJo3T9I67gqQdK+XeZVjwPbf6PrH9UjL9/QjuosS1wGvljSPshJdne3TJT2OkuYr4ELbN7aIpdPycYHSX+lc4Hnd1y+g7FGrWaxnVKv7pDf3RU/OPz4LrN+lob+Fkmn1NaBKC6Eh7wA2Gaxade8fP6J+E+jdgW9J+mP39d0pdQtqq3aOPBdWsP6P8kL+LQtSBKteqRgT06ttf6bR2HdiwVUkU/a27NlgY2Vvrmb1jaR7emqVtppj34/SF+NBDDWBbLBxfyMW7H063nb11M2u6MaLKOViofRy+bLtj1ca/+G2T+tOWBdi+6c14hiK56mU0vWDCo9rU6r3HV1p/Pl70saptSdtHEnL2K6egj40/urAVd3+khWBVWqmoWtqA9mF2P72om6fFEnvtf3OFmN345/pkb59447V1Oq52qf7og/nH4OVREnvAv5g+4stVhclneOhIjQqjZfPcqV+XCOxLMeCizMXtLg4U/MceS6sYG0DrGP7hhaDT1Mx5qDB17UnNt14u6l95anmV7P6MJmQtLPtr2ukgt5gA7/rV77an/Lm8jFgC8oqX4srnitSThj3lzRP0n1sX1IzANsflXQcpVy7gF1qTvRsn9Z9rDqRmk6XenY/YJCqecEgjbOSXuxJk/QW2x8anfANvWZbTPTuATxJ0vJDx2qu+j5jEbeZBfsYq2o5uepcJ2kz2yfA/LSw62oN3rPnatP7YkTz8w/gapViMDsDm6tUzVuu4vgDR0k6mtJsGcqq0ZEN4oCyD2xtytxjQ0nYrpq9UvMceS5MsM6iVAFpsWkPFq4Yo5GPtVcGHk3pLdCqh8zAura3Hfr6PZLOrBxDHyYTK3Uf+1DxCmAF2z+WJJdy5O+W9DPK/VRFl9K7MeVK1v6UPzpfBx5TafzhiyKXMlTIQdKdGqz2bk1pRHlvynty9RL+XRwrUhpy3tv2yyTdT9J6tr9XY/yepK/CgoIafZnw7QE8nnKh6EhgK+AEKk6wbO9Sa6zpSDrB9maSrmZMdbbar5fOq4CvdCsmAv5BWRWvpU/P1db3xbA+nH9sD+wIvNT2nyWtRdkLVZXtN3cr0IMLifvaPmwxPzbjJH0NWBc4kwWp+aby9oCa58hzIUXwOEp/o1OYugeremnhPlDjHjJDcZxI2Ug5fDXrIzU3NA42Mw4vkUv6me3HLu5n56puo+ljKfnXPwH+AHzA9noVYzgT2BA4feg5enat4hKSvmd7a5UGw+NO1GpfFLmIcmX1HDd8Q5b0TcqFohfafoikFShFPzaoNP7YvWgDS/F7+jmU0uxnuPSeuiuwn+1FrSrNdAy96mHXN5JWAbB9VetYWuvDfdGH848+kXQ34JGUbTSn1EwvHorhfOBBLf/GdXFUO0eeCytY1a68L4pKCd2fDHJ8Ja0GPN72d2rH4oY9ZIa8EvhqdzULSs+B2lezru/yjX8j6TWUycRdKscAgKSvUCqh/bP7enVgb9svqRzK7pT0vNdRVk22AF5YOYYbbFvSoNTzSov7gZnknpXRBX4PnNv6Dw/lqu/2knYAsH2dNKYx1uR8ZPHfUo9KK4PnjrxmD7L9lMqhXGf7Zkn/7U5e/0r9Xjp9WYEflIY/zwvaPKwMPNj2SQ1iuTPlHGQzSluBEyj7OaoWlurDc7Uv90Wn+fnHyErr7SmZGv+2ver0PzWROP4HeBflgqqAT0ra0/aXasZBSdm8G/CnyuMupNY58qyfYPVl/wKwx/Cyq+1/dqkd36kcR196yFzVXW2dfzVLpSpZTbvTfjIx8LDBHz8A21dK2rBBHGvbPoXS7G8XAEnPBWqenBws6fPAapJeBryE0ji0Kkk/tv2ExR2r4C3AkZJ+ytRV+NqrAjd0q1aDie+6w/FMWo/eywfmjXnNtrhAc2p3we4LlBXGfwMn1wzA/epB9VlKyeuBa8ccq+Ugyib5QTraTpTeS7V7T/bhudqX+wJ6cP5he8pFCUnPBh5RM4bOm4ENBxPdbiL8C8o+tZrWAH4l6WTaZptVO0ee9ROs7mrWJ4EHUq4SLAtc0yAfe5kxx1rcv6+k9JC5B6Up5THArg3iOJTSTHY4TeAQ4OHTfP8k9GEyMbCMpNVtX9nFcSfaPD/+l4Wb+o47NjG2PyLpScBVlH1Y77L9w1rjqxQKWBFYo7vSO7iUtQqwZq04hryP8hxdnvIe1soewFHAvSQdQNkT9+Jag0s62PbzupS4cWXra/cnu0nSWu761ki697i4Jm1ob8DnJB1FqSBYte+UpimmMBRjzWIKGl7t7Vb3Wp3L3Mn2XkNfv7c7ka6tD8/VvtwX0I/zjylsf0fS2xoMfTlw9dDXV1OyJmp7d4Mxx6l2jjzrJ1jAp4DnU04QN6asUNyvQRynSvoo8GnKG9trKVcbq3LjHjKSHgA8GFhVU0v7rsJQJb9Kmk8mhuxN6S4/6D3xXMqJdRUq3cqfBtxD0ieGbloF+G+tOAZs/7DLhb5dF1/N4hKvoKxurkl5jQ4mWFdRXr+13cn2kxuMO0X3mJwOPIpyn+zWvZ/Uslv3ceuKYy7KO4ATupVFKGV9X147iOFVVduXjh6rpE/FFC6W9DrKqhXAq1nQWqC2YyU9Hzi4+3o74PsN4ujDc7X5fdGn84+R8ZehnJ+2SAP/A3CSpO924z+L0ofyDVAvU6IvGQo1z5HnQpGLU21vPLxJXtIvbD+6chwrAf+Pshwuyqz4vbavqRzHfSiTu7UZmkDXWoaV9CxKP6FnAocP3XQ1JSf8FxViGEwmnkdJURhYhbLJssUyPZIeBAz6s/3E9q8qjr0+sAGwJyUfe+Bq4NjBylqlWF7RxXEdZdNtq+ISr7X9yZpjThPHByjPh2N6EMvDWPi9o1oJbpVSxkfbbpFWtBBJa1AmnAC/rDnhHFppPZZSRXB4pfUHth9YK5YunmUpBXHeXHPcMXHcBfgEC95LfwTs7q6RauVYrqZUih30nVoGGPzNd81MmpbP1W785vdFH84/hmLZf+jL/1Kq1X6h9vO026oyrVrpv33JNqt5jjwXJljHUyY1+wF/pmyge7Ht9RvGtDrwzxab1iWdRekYfg4L3uhaNC3d1PaJNcccGrtPk4kVgRvdNdSTtB5l8ndZzRPXoXiWc4PmfiMx/AbYtPYJwDSxPISF+6TVLhs7ODH5D3Aj7cq0f4lSkfU8pjZtr1qIRdLhwAvcqCl5l171Ty8oWLQF5aTtMuBTrtRzUdJuLFhp/QNTV1q/YPtTNeIYiekntrdc/HdGDX15rvZNy/OPPmt8bnoqY7LNbL+9chzVzpHnwgTr3sBfKDPi1wOrAp+xfVGl8d8FHGz7Akl3AH5AKal7E7Cj7R/ViGMonpNsP7LmmNPE8SHgvZRViqMo98nutr9eMYY+TCaOp/TB+I2k+1I2px9AOak/xXbVnGyVcrXvZuGeSzWbLx8FPMf2tbXGnCaOsf2FbG/XMq5WJP3K9oN6EMfBlCvxP2TBFfBq+3y61NVtbP9R0gaUFZL/o0w+b7T9PzXiGIqnFyutAJL2pqTgf4upj83ELxZ1BXGO695LRTlJ2pYymXix7dMnHcNQLNNNbC4FPl1xEt78udqX+2IkpmbnHyMp+Aup+D427tx0A8pqWotz075km1U7R57VE6wuZeErtnduGMN5wENsW9LLKY3lngDcv4utajqapB0pfwCPYWqllmp/fLo4zrS9gUr5+mdTJr/H1lxZ7MlkYrgH116U/Ta7qlSvOW1wW8V4LqA8FqcxVJrUFUvpqlRP3J9SbGT4OVpzozzqQX+hoVhWp7xuh1fSjq8cwxcprQOqpa5OE8fYcsqu1Ih45ATgI8DNtt+i0vLhTNcvtoFK1au1mZrSUnWltYtj/zGHq6xySjqXUg3txu7v3BuBJ1N66u3hiv0N+zCx6eJo/lzty30xElOz8w9JN1BKkh8M/JEFK89A1fexvp2b9iLbrOY58qwucmH7JknzJN2+4VL4DUPLrU8BDrR9E3C+2lQ2eijwAkp++vw0Hxbkq9eyXPfxaZT75B+q2lIHKFc4F5pMVDZ8BWNLuk7utm+QdPP4H5mof9n+QYNxh32e0pNjyhJ9A33oL4RKn5LdgHtSutw/CjiR+q/ZrwAnSvoz5Q/P4IJE1QlFrROQRRh+o9qSUhhnUK2ufjDS14B1Kc+NwfuYgeoTLNu71B5zyH+HMhK2Br7aXRj6UbdiUdMKtv/Yfb4z8CXbew8mNhXj6MNztS/3xbCW5x93pxSx2p6yWvRN4NCaWxM6fTs3fQFl39VrKOdl92JBSf+aqp0jz+oJVudS4Odd3v5wykKtHjL/6fZx/AXYAnjT0G0rVoph2DbAOj3IvT6iWy25Dni1pHnA9ZVj6MNk4uzuyuIfgPtSrpqg0temhWMlfRj4Nu1WOP9r+w0Vx5tO8/5Cnd2ATSgb07dQqYTVou/Qlyh/eJpOfHuw8vyTLk3xT8DqlIsBSLo70OJ9dWNKcZ7m6Sbd+/jLWHg1rcY+vZu7x+BKypX44SqsK1QYf1gfJjbQj+dqX+6LYc3OP7pJ/+cobRXuAewAnCfprba/ViOGTq/OTW1f1n16HW3+vg1UO0eeCxOsP3b/lqFNt/ndKP0V5gEfs30JgKSnAWc0iOcsYDXK1fhmbL9N0gcpDf9uknQNpTxoTX2YTLyM8hxZG3jy0L6jBwEfqRjHwCD3eOOhY7VXOI/tUhaOYOrjUqtM+2C85v2FOtfbvl4Sku7Q5cyv1yCO39k+fPHfNnGtV553p1x9vjuw2dCqyd0o5bBrO7cb+08Nxh71XeBnlDSw2o/Nuyhl4pcFDrd9HoCkx1G/THsfJjbQj+dqX+6L+fpw/iFpI8rk6kmU/U+12/b06txU0tbAXix84ax2z9pq58izeg9WLEzScZTc51No0C1b0pa2f6KpPSDmc92Sz8eODyFVsFqSdMmYw1X3xg3F0rQseRfDYZRG2LtTJrpXAsvZflrlOD5D+cMzOvGtfX/0olBPX3TvYxtQVlerv6ePxHKm7Q1qjzs0/u2AOw6nW6m0SJHtf1eMQyyY2Bxs+w/d8Q2Bu9g+ulYsrfXpvujD+Yek91BSWM8HDgKOsl2912TfSLoIeA5wTsvV+JrnyLN6gtVtht4NGFztPR/4RIvNv6NU+jH82fZJlcd93LjjrlSmXdJ7bO/RcjP0bCDpK8C1lCpL51Yc967A+4E1bW+l0ptrU9tfrBVDX6hxWXJJj7L9y5Fjj6NUQj2qdppv69dsd8UXSv+6ZWm78rwQST+ilNH/tO3vVRy36Xv6SCzvBX5h+8jaY09H0sbAnwYn9tHuudpaH84/ur3VF1NS4WDBPuwme1pHNTw3PRZ4gu2W+66rvp/O2gmWpBdS0kjeAJxOefJuRCkisE/rSZak91M2093O9laVx74rZU8HwMlu0ICxLyQ9ndLZfbg6257tIiokbQKsBTzC9lsrjvsDSgW/d7hUzrsdpYpetWqGkpYDXgVs3h06Dvi8K5fUV+Oy5JJOt71R9/mJtjdtFUsfTLPiPNB85VnSmpSr9I+y/emWsdSm0qvNlL+zzXu2jcT2FcqFkl/b3r5VHF0svZjY9OG52pf7ojaVsvXTGtqL1ESrc9PunGcv4KdMvXBWq17CcCxVzpFn8wTrl8DzbV86cnxtSsfuR437ublO0vMok8zjKH/8Hgu82fYhlcZfZPGCmi8mSZ+jbObcglIadDvKi+mltWIYiuUhNVeqFhHHKbY3kXSG7Q27Y1XTfiTtR6nyNKgW9wLgJtfvL9S0LPnIYzD/81Yk3RP4JPAYysn0CcButi+vNP62tg+tMdaS6PYMHNmDK66PojwuD6T0e1wWuKbmpEbSvVufGC6OpDvavrpxDM0nNn3R4r7o0/lHTCXpGEohqdEGv1ULXtQ8R57NRS5WGZ1cAdi+VKXkclWSVqT05VjL9ssk3Q9Yr8GVm3cAmwxm5F31nB9RNjvWMFxo5BWUktytPNr2w1R6hbxHpUlm1f0kQz6n0vvqy8A3bP+zURzXSLozXdpCd/L2r8oxbOKpvS9+otJdvbbWZcmXUel/tczQ5/PLbrly0Q/KyuY3KCWGoZRc3p+ySbuGdwC9mWABzwf2kXQosL/t8xvF8akulm9RitO8kNLHpabDKBkizXV7fnaiVALbU9JawN1sV68AOjoJdylX/kcqFzTozjf+j1I8aThbo/q+1qGxW9wXfTr/mKLlip5KNcHR50btLK872X5y5THHqXaOPJsnWNfdytsmZX/KG8kgzedyyh/E2hOsZUaWO/9OOYGrYvhqhKRn1746MWLwPLi2u5r2d+A+LQKxvVn3R/AllPLgJwNftn1M5VDeABwOrCvp55QKQ9tVjuEmSeva/i2ApHVoUy2udVnyVSnvGYNJ1fAeI1O/J9c828N7F74saffKMfSG7Z27i3U7APtLMuV9/sDaKyW2L5K0rEsfm/0l/aLm+Ewtxd3aZyiv1y2BPYGrKRPzTRb1QxPSl0n4/sAewMcoGRu7UPkx68Mkr2fnH6NeSLeiV3NQSXsAj6c8LkcCW1GyE2pPsH4k6ckNznlGVTtHns0TrAdKGldSWTRoFgqsa3t7STsA2L6uu9JW21GSjgYO7L7enlIitIXW+affU+lz9GHKyaspPY+asP0bSe+klBr+BLBh9xx5uytVarN9erfJcz3Ka+XC2nufgDdTSrVf3MVwb8oJQW1Ny5LbXrvV2NP4m6SdWfDesQPlj08tD1jEe3qTzeG2r+pOnlegVHncBnizpE/Y/mSlMK7tVr/PVGmo+yfKPqia7iHpE9PdaPt1FWN5pO2NJJ3RjX1ld/9U16NJ+Aq2fyxJXSrnuyX9jDLpqqX5JG9E6/OPKVqtblIuoK5P2Wu9S7f/aL/KMQDsCrxF0g2UlTxos39z3DnyRIr2zOoJVusARtwgaQUWpF6ty9BGvlpsv1mlROlmlDe3fW0fVjuOliS9xvanbO8l6cG2D5X0PWB527XT4QYxPYzyB+fpwA+BZ3STnTWBE6mUuihpWUp3+7Upr/8nS6qam96dCNyPBZO8C2xXf60AF0j6Bo3Lko9S6R/zjwb3yUso6Wgfo7yP/aI7VsslwDMqjrdIkp5B+f+vC3yNUpDmr106+PmUfVGTHP92LuWdX0C5wvoaSmGnewHbTnLsMa6j/onhdG7s3scGf2vn0bAxdk8m4ddLWgb4jaTXUBrb36XS2AN9mOT1Rh9W9DrXuTR9/m93MeCvNFiEsN2iT+18ku4L3HXMOfKJwAETGXO2FrnoG0lPAt5JeTEdQ9ko/mLbx1Uaf/Dk+fnI8c2BPwzSsSrEcQ4LrhzdF7hocBOVrkJranW2+Z+3JOl4yurZIbavG7ntBa7U4V3SkZSO9tU3mnarIxr9v0p6GWXT/jcmHcPIuL1sJdDl6q8LHGr7TS1jqakPhT6GSfoqsJ/t48fc9gTbP57w+MPvY5+0/dpJjreksbQmaSfKVeeNKPsotwPeaftbDWJ5JuXC2WAS/pXhSbjtRVaUm8E4NqFM+lejVGpbFfiQR9pATDiGn1MKBhxCaTb8B+ADtqs1Te/D+cdQLCewYEXvGXQrerarTjhV+hu+nZLO+kZKoYkzbVfPGuleL/OrB9fci9ZdZH+77bNHjm8M7GF7xi/uzbkJVouNhN2Vo+2AH1PyawX80vbfaozfxVD9yTNNHM1LlI6cmDQ/aeuutn7V9k4t4+hiObtFqlU39hnA5qOpM91VtWNtP7xFXH3UpY4+yPZ5Fcb6EHCx7c+NHH89pXhAlTYCkj5l+zU1xpoNNLXKZNMJjqRfukeVeSU9AHgC5W/tj1vtfVIpEf/FVpPwPunJJK/5+cdQLKfZfrikc9y1QZH0M9uPrRXDmJjWphSIG5eKPemxP0DZJzlYLdoBOM322yqNf67th0xz2/zHaCbN5hTB6VTfSNgtv77G9sHA92uNO2LtcS8a26d2L6oqar6BLcJqkrahpNWsopGu7rVTwGzfJOnOkm7vys1jx/hBw42my47bl9Cl2CxXKwhJb7H9IUmfZEyefuX9JEj6CGWD/PzJlMuVr4lPrjpbA+P+8OwDnA1UmWBNN7lS5caYWtDzaayKewZ6c/VzuslVw3TWvwA/o5zDrCBpI1duRN1dOLvHuMkVlFToirFsTKmOdm+GzutqXkyzfUr36b9ps6e2L+cfA31I2wTmb1FYm+65Iem+DVLhnwZs4K7iZndx4gygygSLoTTNMVaYxICzfoKlnpRJBX4o6U3AN4FrBgddr9Ry9SfPLVF5ZfGnwDO7z49n6r4O06ZU+2XAzyUdztTnR+2+HL8EDuve+Gs3Cl1O0kq2rxk+KOmOlP4+tQyudp9accxFuQDYV6Xp82CDfM29gvaYXk/dhaM+VI97JPDQbk/SxBtjDvYKSNoT+DMl9WtQGrzmPoJB0Q9Rqn4OLqA1K/oxxtcosVVLZ5W0F/Bi4LcsmISaUlWwmu7C2bWSVq38eh3nAErxoFYVUXsxyZtOi8wmyn68FYHXUVb0tgReVGns+SR9idKI+zwWPDdanQetBgzOiVetPPYpkl5me0qhM0kvZULzhVmfIijp65TS6E3LpEq6ZMxhu9KGRkkHAj+Z5snzZLfvcL9UN2BUKZW6kBp7n0biuBh4NnCOK7/4uwsQTwBe5a6HXbe6+mlKPvaHa8bTN5LWo1z53QH4OfAF28dWGPcUYEfbvxk5fj/KZG/jScfQR5JOsv3IxR2b4Pi9SXdalJrprN14FwIP7UE2AJIOpmTL/JCpF85qr4KfYHuzmmOOieFCxkzy+vA8XZrPPyT9yvaDehDHDsAHgGMpF4k2B/7X9kGVxr8rpZ/fDSyYUG1Mubi7je0/z/iYs32CBfP3cOxAOTlp1qukpRZPntmmdqrRNDEstIJTefyjga3GrVhUGv+VwP8CK1Neq9dQNkJ/tkEs9wfexFDqBIDtqlfCu1iWpaTq7UKpEncwpcrRNbafP+Gxt6JUxHsvU987/hfY3fZEStguIp5eNG1X6TX1aeAgynN1B2BX24+uGUcfSFqlS+W907jbK2ZqoFKx71We2sumCUljVyRsf6VyHE+gPD9/TKOKqH2Y5A2MZjY1iqEXK3qSvgjsbftXNcedJpa7U/ZhCTgJuEPtCbikLViQEn+e7Z9MbKy5MMECkLQGsDNlWfZ8SgWZamVSJb1w3HFX7pZd88mzmDj6UqJ0OKb3Aw8FqqQajYy9KfBFYGXba0laH3iF7VdXjuPLlBKtP2DqH+KqqYqSVqa8/zS7CCLpLOBzlEnF/EbHtqumF0v6KCWl9ceUDfMnD912oStU4ZL0EMrV58F7x7nAR2yfM+mxx8TyTcpj8kLbD1Fpf3Gi7Q0qx7E2ZR/aYygTrJ9TJpyX1oxjVIt0J0nfs71160yNLpaNge9SnqPD72HPnPaH5rguk+cBjKSBuWJF1D5M8oZiaZ7Z1JcVPZVK0kdQ0p3/Q4MU4+785x7A8S5VNh9G2Xv1WNv3qhVHbbN+gqWFe5W0KpM6PJFbnpIKdbrt7WqM3zfqSYnSvpB0EqXS5OFeUBls2qo2E4yjF6mKw1qtLKqr8lRzzGnieAlwkO1rx9zWh/0dVUk61fbGmlpF7yzb67eOrQ9apDtJ2tT2iTXGWhxJ5wGfZ+ET1582iKUXFxI1oSpotzCG5pO8kXiaZjb1ZUVP0kXAG2g00ZP0YUp2xpmUhY/vAa8G3g983vb1NeJoYdYXuQCeC3zMI5V8bF/bnbhU4ZEeJZJWpUz4mpI0uHLzadufqjh086aDfUk1GrD9+5GaATdN970TjKHZRGoRqhYxGHKEpFdTUmuHr7hWSXeSNCi7fSaloMGU222f3nJy1a34/ovSC+rvFYfuRdP2LoX0s5T+gg/prro+0/Z7G8SyAuV97EK3KeT0aUrfKSSdaHvTimOP+pvtTzQcf9j+LLiQuAXdhcQGcfxS0oMap4Gt33qSN8ztG0DvIWk/2q/o/c724ZXHHPZ0YEPb10tanfLe9bDRPb9z0ayfYNkem5rX3dayB8W1wP0ajg+A7Qd26ZNVNmYP6UOJ0v0pJyGDk4HLgW9RrqDU9ntJjwYs6faUykIt0haOZXxp8ur7jobGfnujoQf7J948dMzU63K/d/dxecqep7MoJ2cPo+Snt776eTIlM+BjlPYXtewBHAXcS9IBdE3bK44/8AXKc+PzALbPlvQNyl61arosjY9Q9tPeR9IGwJ6VU+KGJw2Lqlhbw2mS/g84nKknrlXLtHeaX0jsbAa8qEvhbJIGRj8meQBo4QbQjxjObKLsOZ20XSgresvRtnrfBd371hG0mehdN1ilsn1ll/Y+5ydXMIsnWOpPrxIAJB3BgniWoaQMVO8sP45Lw+Pa/bl2p32J0nVtb99Vr8H2dRpdJqjnlZT9HPegTPSOoSyT1zZcSnl5YFvgvzUD6MvKou37jImtWrl421t0Yx4EvHyw36nbD1Wl5PWi2P5O7TG7izKrA89hQdP23VyxafuQFW2fPPKWUfW10nk38AjgOADbZ6pib8POMt3V52WGPp9/x9Ra9e0MGscP9+aqXqa904cLiQBPbTDmqD5M8ga2pX1mU19W9FagPB5PHjpWc6K3rkp7moG1h7+ey3snZ+0Ey/3pVTLwkaHP/wtcZvvy2kGoNNX9IOVNXlC1z9F87kHTQXqSatRZz/ZOwwckPYaycb6aMQUcfi6p9t6FPq0sDspMbwHsSNkveNfKITxguJiE7XO7VYqqJM0DXsbCVRVrplr3oWn7wN+694zB+8d2wJ8axPFf2/9qd20IKD1rTmPBpGp4tajmqu/8CxM9sTtTLyRuQd3VXmDBfhpJd6HdCmMfJnmDiqx9aADdixU9263OvwaeNfL13mO/aw6atROsIU/x1L4kn+0KCnyochxPs/3W4QOSPjh6rIIPAc9oUTVnmPpRorQvqUZQUhI2WoJjE6WpZZaXAR4O3K1mDPRkZVHSIymTqm2AOwG7MjVdsJbzu1z9r1NOVnemQfoopTLbz4Af0WB/4JDWTdsHdgX2peyP+wNwCeWxqe1cSTsCy3arva8DflEzANtr1xxvHEk72/66pDeMu931m7YDrN1dTJx/IVHScykpvtV0KXF7A2sCf6X83T0feHCtGHoyyetTA+herOhJWh54KeW5MFyIpcqFsxbFZ/piLkywbpK0E1N7lbQ4OXgSMDqZ2mrMsUn7S+vJVadpZ/m+pBqplCd9NDBv5MRgFWDZmrF0TqO8TkRZab2E8uZbU9OVRUnvA54H/A44ENgTONWVe9cM2QV4FbBb9/XxlOIKta3Y4ILQOIM//LsOHau6SgJg+2LgiZJWApapVX1sjNdSLlb9B/gGcDSV94GNI+ndtt9dcciVuo8tMlSm878svBVg3LFJ24vyd+5HtjdUadeyQ80A+jDJG3I9cI6klg2ge7GiR8nuugB4CuVv3U60uYA3haSvUGoVfNr2ua3jmYS5UKZ9bRr2KpH0KspemnWA3w7ddEfg57arXvGUtA9lReI7NKxc04cSpZKOt7154xgeBzyesgfrc0M3XQ0csbRs9hwm6UnAOyn7FI+hW1m0fVyl8a8ALgQ+Dnyvq250sdv2aJtfJa5hDO8FfuHKjYX7StJqlHSvtZm6Cl/tJK1Ldzra9hNrjbmkJJ1uu/YK/LLA62x/rOa4Y+LYCnga5ULNN4duWgV4kO1HVI5n0NrgLErFtpslnVwzjm7sLRmZ5Nl+ea0YhmLpRQPoLpYpK3q2f1d5/DO6x+Ns2w+TtBzlPaVZYasurk2AtSgFSPpwYW/GzfoJVmsq5dhXp/TCeNvQTVc3SGlB0v5jDrvmPooujuZNByX9P+A62qcaIeneQykUy1AaDl/VII5dgQNs/7P7enXKH8HPVBp/GUo/sB+zYGXxlzVXFruTtCdTnp9bAscCTwTuZbt6EYPuyu+HgdvbblUlblA4aCXgBkojW2iwf1P9adr+C+CXLNw/pupJWrch/AWN050WoqE+ZZXHPbb1PiyVRvEbUFYE3jV009XAsbavrBzPj4BnU85D1qCsIG1i+9EVY2g+yeuT6Vb0bFdd0Rs8BpKOpywG/Bk4ueUFxaXFrJ9gqV+9SpalbJAfvtpZ9WpFX6gHTQe73OdRbvHGolIm9ZWU9NXTKJvGP2r7w5XjONP2BiPHqp4o9WFlcaDLT9+aMtnaDPix7R0rx3AaZaJ3nBc01j27dq5+X6gnTdtbrNBME8fBlIsRLdOdFiJpGdst0r/fR3n/HL1wVr1Mu6TlbN+4+O+ceBwrUS4mLkNJAVuVciGtWv+6PkzyhmJp3gC6Lyt6kv4HOBR4KPBlYGXg/9n+fOU45lG2zIw+Jk1X0iZpLuzB6kuvktdQyun+hak9D2pvaLwnpXjCIGXyBMreo9oVDdd34xKlHlOGu6EHuTQ+3Ak4kvJGcxpl5aKmZSTJ3ZWV7qJAtdLknb4UMcClP8chwCGS7kjZs1dbH6rEAfOvug4mv8e5QVNu96dp+9ckvYxS3bJ6I+oh36dxRUVJb7H9oW7y66HjQPXJ3uCEfc+hY63KtD9C0rtZUMxpUMig5on8ssB3uzTSm4FWe0mfRZnkvZ4Fk7w9F/kTk9OHBtA32v67pGW6ixHHSvpgzQC6jJGruhXV46m8j3XEAZS/+U+nXGx+EXBFw3gmbi5MsPrSq2R3SinualeMprE/ZSP0c7uvd+6OPalyHM1LlPYl1aizXJf7/GzgU7ZvlNRi+fho4GBJn6OclLySUmmxpl4UMRhjS8pm4NqaV4kDkPQBYBPKH0KA3SRtZvtti/ixGlo1bb+BcgHkHSyYVLQottHqhHnYYFP8qU2joHdl2r9ImVCcRqPKm+5B1bweTfIG+tAA+p+SVqZMbA6Q9Fcqn5t2aZqvAQ6uOe407mz7i5J2c6ks+FPVbxFT1VyYYPWlV8nvgT7kyM+zPbwP68uSdm8QRx9KlG4y9Pn8VCOgxQTr88ClwFnA8ZLuDVTfg0VZOXsFpWqdKEUm9qsZQM9WFoc9EniopNvZ3qriuMNV4g6kTIL3qjj+wNOADQZpXypVns5g6t7SiVN/mra/Abhvzf2B43TvoQtdjKm5SmL7iO5jsxNnlSqs/7L9xZHjrwWWtf3xBmH9y/YPGow7qmnVvD5M8kb0oQF0X1b0+pIxMkil/ZOkpwN/BO5ZOYaq5sIerHUovUoeDVxJ16vElaoIDsXxRWA9SirHcDpJ1d4cXR70lyknalD2luxi+wmV47j3uOODQg8tDFKNahcP6MZe1vZNQ1+LclLQoqjC7SnPVQMX1t5D0LOVxehIOht4/OAPr0rPtONq7wVTqbw50LJp++HA821fW3vskTjuPPTl8pTshDvZftc0PzLJWH4IPHekSM5Btp9SYexzgY1s3zBy/A7AKS32LHarvssC32bq3/2q+8HUg6p5fdorqFKh7nxgNcrFqlWAD9mu0p9MPar+2Ze96JK2pvRZvBdlG8sqwHtsH14zjppm/QqW+9Or5Hfdv9tTf0/LsJcAn6LkHpuSalS1giD0p+ngiFapRgAXSfoWsL/t87s9UC0mV4+npG9cSlnBupekF3marvcT0ouVRUkrAm+klEd/WZeet17tfUcqTbnfzsLlwGufMP4fcIakYynPjc0pPX1q60vT9puAM7v7Y/jkueoJ45i0849LOoGp1etqmTeYXAHYvrJ7j6/Bo5Or7uB/1G4D4yO7jxsPHau+H8z2V7oiAthuta+l+V7BIU0bQPdpRa8vGSNDf1f/RdkXN+fNhRWs1Wjcq2QknpVsX7P475zb1IMSpdOlGjU4UaMroPB8ypv9MsCXKFd+q6YJqlSs29FdvyWVKpwH2n54zThGYmqysijpm5S9Ey90qUC6AnCiR6osVojjQsY05W6x2ivp7pQJsICTbP+5QQwLVe9Tg6qKfVgV6OIYvi+WoZzMv8r2+jXj6GI5DdjGXXXcLlPhsNHHa0JjnwM80fZfRo7flVKprWlRpRa6ieUewGsor9llKBfuPmm7ejpaDyZ5gzjGvYdUrQrahxW9bvV7R0pFZyiret9okB6IpPtQ0uHXZuq5evWMolpm/QoWpSLbQr1KapO0KWXD68rAWip9Ml5h+9WVxh9b5WmgwYSzeWd54CNDnzdLNQLoVla/AHxB0uaUFM6PSToE2Mv2RZVCWc5DzWxt/7orvtFSq5XFdW1vL2kHANvXNboSfkXLNAlJD7B9wdCJ/OA1sqakNWulO2moaXuXrjhwR0oD+aq6VYHbA/fvDlVPp+3sPfT5fylp8M9rEAeUvYInDG1O3xyoVXb6w8D3Jb2RsuIN8HDgQ0x9r6+mm9y9H1jT9laSHgRsOrpPbIJ2p1QM3sT2JV1M6wCflfR6V2jIPG6SJ6nJJE8LGkDfQ9Inhm5ahfoZI01X9CQ9EPgJZU/vGZTHZhPg7ZK2tF27oNN3KOfIR9DwXL2muTDBWt72G1oHAXwceApwOIDts7oT6Vp6U+Wp07xEKf1JNRrkZD+dsoK1NuWk6QDgsZSLBPef9odn1qndfsFB2eudKKs41fSoiMEN3arVoEDOugylglW0h6T9aNeU+w2Uk+S9x9xWM93pG8AP6E/T9sfTPp0W4KVdKvxwbE3Sfmwf1U3EH9Uder0rFQGx/VVJV1AKBTyE8tw8D9ijYaGJL1Oq9L6j+/rXlGICtSZYLwSeNPwY2L5Y0s6UAkYTn2DRg0nekD9SzoGeydS/a1dTik1U04O0zb0oLXqmVBCUtC3wPmDbyvFcb/sTi/+2uWMupAi+npJn27RXiaSTbD9SQ01bJZ1VO41D0nNtf2txxyrE0bzpYF9SjbpxLwaOBb5o+xcjt32i1gpjtyF8V0qVR1FKyH7GdrWJhfpTxOBJwDspE7xjKCcJL7Z9XOU4mjfl7uJY3qUv2CKPVYqledP2vqTTTvM+dlrNOLpUwH8O9pN0GQnPBi6jtJ1YaG/U0kDSKbY3Gfm7v1Az9wmOf67th9zS22Y4hjMYmeR1x+cBx7hiE/uhsZs1gO5L2qakC22vd0tvm2A8O1IyVY6hYUGYmubCClYvepUAv5f0aMBdWsnrWLCqVNP/svBqwLhjk9asRGnfUo06D7P973E31Ezf7DaEf42y56lVnnzzlUWVEr6rUxoLP4ryh3C3WlfjR6zfk/0jvwBG9yiMOzZR6knTdhqn00p6APBgYFVJww2wV6F+4aCDgW2Af0nagPL35P+A9YHPAP9TOZ75JL0a+DtwqOtXZb2m2+cyWAV/FHXbtSxqYltr0rvcuPdN21c0TD9v2QB6d/qxoreoWgAt6gQ8FHgBJSNi+H29RYPwKubCBKsXvUooDVv3Ae5B2cNwDFMbqU5Un3KP1b7pYG9SjYYfi3HbeyquXI1eVZOkm2izGfpJlH5cw7Yac2xi3DVg7NInWle+atqUW9LdKO9bK0jakPL8gPLesWKDkHanH03bR9Npd6ZuOu16wNaUUtPPGDp+NfCyinFAadz6x+7znYEv2d67u1BxZuVYRomyIr8TJTWspjdQtgWsK+nnwDxgu4rjry9pXKEkUW8S3odJ3qiWDaD7kLYJcBeV3nGjRHme1rYNsM7StNo9FyZY51E2ybcm2zs1HL9PucdNS5R2Y/4L2GEk1WhlSStXTjV6JXAu5QrwH1lw8lrb7rTfDN23lcW+NGBs3ZT7KcCLKU0fh/v2XU0pH19bX5q2v4pykex1lMfkp8Bnaw1u+7vAdyVtavvEWuNOY/h9a0u68v3dhYo2EXVsf7rh2Kd3Kc/rUe6jqoVQbC9ba6xF6MMkb1TLBtB9WdH7AuVv6zj7VYxj4CzKxaK/Nhi7ibmwB+swShpF014lkn5Dqe70TUqqwj9rjj8UR7Pc45E4+lCidGyqUc09WF36yHOB7SkriYPnx5W1YujiaJ4nr1KOfXV6sLLYxdOXBoy9aMotaVvbh9Ycc5o4mjZt714T80ZXFCU9BPhL7dTaLp6XsXB542p79CTtA9wd+BPlIt79bd+oUtb/CNsbL/IXzGwsd6Bs0F+bqfdHi7Lkg+JFo7FUea7GeGrYAHrcnskluW2uk3QcJc37FKY+JinT3mPf6f41Zft+kh5B6XX0Dkm/ovQ5+nrlUNaW9H+Ujfvzrx7VPmmkH00Hd6dxqlE39ueAz0m6B6VU/XmS3mr7a4v+6RnV/Kpaz1YW+9SA8TKVtg6P7Q79zPZZDeI4VNLTKResht87ap+4tm7a/knGr1Tdg7Kit2PdcPgu8DPgR9RPdxrYnXKR6O7AZkMX8e7Gggp6tXyX8j5yGm2qfg47Ariexm1iYiEtG0D3cUVvQRDt9izuUXGsXpj1K1gA6kevkuF41qCk2uxUewlf0gmUJ/LHKHn7u1Ae5+pPbjVuOijpWMqqTe2Nz+Ni2YgyuXoS5cRg75p7bvp0Va0PK4tdHC8cd9z2VyvHsRtlhWJQln0bYF/bn6wcx+coe662oKSQbAecbPulNeMYiqdJ03ZJ53mahui1KrONjFmtKt1s0OIxmI4aVaWdDSQNinx92vanmgYT80nalVK19t5zefWoD2b9BEtjepUAL3LlXiWSVqGcGD0fWBc4DDjYdu0eQ6fZfrikcwaVyST9zPZjF/ezMzR+L0qUdrE0TTXqYngPZaP6+cBBwFEtJnxdQYtxJ6ui9JKrWR3tIuCRrYsYqDTlHlgeeAJwuu2am9Tp9qNtOphMSFoJOLHBhPNs2w8b+rgy8G3bT64cx/ym7bZbNG3/te2xfenUprzxe4Ff2D6y5rhLQqUdx42Uk+jvVRpzX8rfk3NqjLeYWD4I/Nj2Ma1j6aMuRf5Rtqtms6h9A+gY0VXY/CTwQEpmwrLANbZXaRrYBM2FFMG9gSd7pFcJpcN7TWdRUhX3bLwh+fqustNvupWCPwB3qTj+7vSjRCm0TzUC+H/AxZRyxusD7+82hVctZNCTzdADvShiYPu1w193e8Rqpm3OH5qpqV830aYYynXdx2slrUlJI2mRRvlx2jZt/42kp41OaFQqtV48zc9M0m7A2yXdQKnKNnjv6MOJyQspaYOPWtw3zqDNgBc3LAoz7JfAYd3f3Bvp12NTVXe+ccDw/uLuIlqLrQJfpm0D6IW0WtHr0Z7FT1EWIL5FSd18IaUv1pw1FyZYTXuVDFnH/VgO3J2S5vM6SifvLYEXVRy/LyVKsf0eaJdq1OnFPp+euRg4TlKzlcVpXEubN/z9gZO6gj1QGri2OBH4nqTVKH0FT6fsWWhRbQrbvx+pTldz79HrKffF81hQkXVjYFPKanRVtqerBFadpK2BI23fDOBSuv2P1C1fv1XFsRZnb8rz4pye/P1v6W7AKZJOB74EHN3wPlnD9sGSBtUu/9tlcTRj+4GDFb3KQ/dmz6LtiyQta/smYH9Jv2gZz6TNhQlW014lko5gQZPBhW6vneNq+5Tu039T9l/V1ryYwsBwqhFQPdUI6leCmyX6sLI45bVLSWV9EPUbcmP7o12Fpc0oV8B3sX1Ggzj26j49VNL3KKmjLVYamzZt7y7SPZRSzGKw1+enlPeO62vFMdClXe8E3Mf2XpLuBdzd9sm1Y6Fcgd5H0qHA/rarPS4DfSkK0/kNcG4mV2D7nZL+H/BkyrnHp1SqCX/R9m8rh9O6AXSfVvTuafuplccc59ru/fxMSR+iVCRdqXFMEzUX9mDdgdKrZHBy8lPgs7arzNRVemAAPIdyBWdQNXAH4FLbVfvISNqYsiw+6GAOQK30iZ4VUziJslH/cHdlyPuyQbrF3oW+abyyOPzahbJP8DLbl1ccfxPKldYfjBx/JvCHBvs3e1FyuisStA/wRMp7+jHAbq337LUi6bOUYjBbdlfBV6e0VtikUTyrUP6+7UI5gd0fOND21ZXG70VRmC6WLwPrUBrb92k1vplu8rsL8FRK+5xHAT+0/ZaKMWxE2e/zEEofynnAdrbPXuQPzmwM76VckGi6oteXPYsq7Uj+Qrmo+npgVeAzti9qGdckzdoJlvrXq+R425sv7liFOC4E3sxI2dhaKyk9K6Zwku1HSjpjaIJ1lu31a8WwiNjWpNu74IaNMltoXcRgKI4P2n7r4o5NcPzjgBfbvnTk+H0pJ4w1SgoPj3skY0pOD1JtK8Yxr/b795JodVFkcGGqT+9j3SR4Z0pK+vnAfYFP1Jjk9KUoTDf22Oq8tV8zfSDpdZTtCH+jpBZ/x6VX2jLAb2yvWzme29GoAfRQDGLBit7GQPUVPZWWQfel9Gltsmexu3j3Fds71xqzD2ZzimDfepXMk7SO7YsBJN2HctWktitsH95gXKB/xRRaphotSqO9C33xcdoWMRh4EjA6mdpqzLFJufPo5Arm56nfuVIMw+7ZqFDAqF90BQyaNm0fo0VBB4AbuxOUQbrTPBr1XOpWV3ehVMr9GvAI23+VtCLlvbXGKlJfisIslROpRVgDeM7oxVzbN3d796rpXi9PY8Fq/JMlVV9ZtG1Jfwb+TMmSWB04RFLNFb3mexZt3yRpnqTb276hdTy1zOYJ1kNt/3T0oO2jJe3dIJ7XUzbuD6pMrQ28okEce0jaD/gxU1MWvj39j8xZr6SkGt0DuJySarRri0Ak3Q/oQwPoXmhZxEDSq4BXA+t0V8MH7gj8vFYcwAqLuK1FbvoPJD3ZjUtOuz9N25G0ArCW7QsbXhT5BKXtx10kvY+S9vzOyjEMbAt8zCNtUGxfK+kllWLoS1GYQa/FhdKAaq8+tyTpTt2nHx/5GgDb/2iwV695A+gxK3pvHl7RA6pMsHq0Z/FS4OeSDmcoy2kup9PO5gnWolLNqlcRtH1UdxL9gO7QBcBqteOgXF18AOU+mN/ElQX56k2oTYlS2d6p0liLsz8LGkBvQdcAumlE7bReWfwGZc/E/wFvGzp+te1/VIzjR90J8zuHc/NVeqf9pGIcA70pOd0VcDhZ0vspTdu/woL9rVVIegbwEcqegftI2oDShqN24aIDJJ1G6dMm4Nktikt0qwL3GJ1cDdj+cY043JOiMJ03DX2+PGUC2ryxfWWnUc4xBKwFXNl9vhqlmFGLSrp9WI3vxYremD2LX5fUYs/i4ALVMpSLmXPebN6D9X3Kyfq4XiWvs91kWVSll862lBTFB9q+R+Xx5zcY7htVbjoo6TeUvOPmqUZq3AC6T/pUxKA7abwrU4s6/K7S2CtRrmw+AjizO7w+cCrwP7b/XSOOoXgupqwGNC05rR41bae0uThuaO/T2bVP3CTtA3zTdvOSxt3V5xe4QXVJSavYvmp0hWSg8sWRaUn6qe3HLf475xZJn6MUlDqy+3or4Im239gglmYNoKd7fg7Ufp72ac/i0mY2r2D1pldJl0byTMqkaiPK7PzZwNgrfRP2S0kPGi3+UZt6UKK0T6lGtG8A3Se9WFnsHod3UyobDa/21mr+fA2wg0oj7gd3h88b7ONsoC8lp/vStP2/tv+lMe03KjsdeKek+1Mmm9+0fWqjWK4HzpH0Q6am+byuwtjfoPxtH6yYDKj7unq69cjJ9DLAwynVhJdGm9h+5eAL2z+QtNeifmCCWq7G921Fr/meRUkvojRMX687dD6lKM5Xa8ZR26xdwYL5JdqHe5WcB3zDFXuVSDoA2JxyFf4gSmrPRbabNJjtUvHWpWHFmC6OXpQoHYpnDUqq0U4tCnGolOQ+n/ImuxelROmHbP+ydiyt9WVlUdJFwCNbrJwtiqS7A/9wpVYTQ+N+mR6UnJakHkzyUOmv+GNKGum2lFTW5YZPIivHc6cujudT9oVVb4rdnSgtxPZXasfSB10xlsHJ9H8p72t72j6haWANSDoa+BklldeUKpOb235Kg1iar8b3ZUVP0hsoe8GG9yx+2fbHK43/QsqCyBso54OiLER8GNhnLk+yZvUEqw8knUV5wnyVcmXx95IublW8QKXXwEJG84ArxdK0RGlfUo1iYUMri88GmqwsdhvUn2S7V3smVMqBr0uZfL5pcd8/g+M2LTmtqY2fx8VRde9TVxnvHZT3MICjgffWvIA3Es8jgO3pXjO2n9EojvmFPxqN/2PbT1jcsairuwCwB+WCsykZPHu2SN3sJntb2W5S4KKL4TTbDx85dqrtjRvEshEL9iweX3PPoqRfAs/3wu1I1qb83a9dlbWaOTfBUoNeJZIeQFlJ2x74K6XIxENt/7nG+F0MvcxPV8Omg93Vxe9QJlUtU41Q4wbQfdVyZbFboViPkrbaqyah3cWJB9k+r3UstahHTdu7vXlH235irTEXEcsHKffJbykXqb7dcNV3fuEP21ULf0haHliR8nfk8SxIc1oF+IHtB046hjEx7UpJhf9n9/XqwA62P1M7lr6QtHLt/aNjYvgyjVfjW6/o9eWcUNKvbD/olt42F8zmPVjTqd6rxPYFwLuAd3Un0jtQKmBdbvvRlcIYzU8fzrGtnp+ufpQoXacPqUadAxjTAHppNM3K4iMahPK77t/tu3/NTFNso8rkStLHbe8+3QpSrZUjd203JO3lqQ3aj5BUdT+rS9+WayWt2qKgw4hLKJvU/9Y4Dih7Fh8BHAdg+0yVno81vILS2HhNyt+5wd+4q4BWzdpf5qFG8bavlPQyYKmbYKlUht0PWBlo1kC+c0n3r+V7+w6UFb3DWLCit0PF8fuyZ/G6W3nbrDcnVrBapyyM012B3txjenUtDSTtSUkHXCg1UdIDPcEyw31LNQKQdILtzWqP20d9WlmEUlVpUGGp0fivpfwhnlJso9bqpqSH2z5taAVpitrvYd0+0qd7atP2I2uvUEg6mG7FnfoFHQZpPdOyfXqNOIZJOsn2IyWd4UaVFSW91vVLTI/VVWhbf3Ahr7tQcrbtBy/6J+ceSSdRerQdPvTcONf2Qxb9k3NbH1b0WpJ0LXDRuJsoF8Fb9HysYtavYKknvUrGeBXwd0m3q73HQ9I9WDgVrfYV4HdJWlbSmiNx/G6Sk6vOR7qPY1ONJjz2dNIAeoFerCxK2pTSoLT1FdfdgPVaFdsY7Ens0cWgvjRt/z4Vq56OsXf3cXnKHtbBft+HASdR9lTUdq6kHYFlVfo+vg6oXT7+Zkmr9SQt72jg4K6ggSnN7Y9qEEcvuGED+WHqQQPovqzo9WDPYvXU3b6Y9RMsxqcsrN0wngFR/gDuRCnhXmfQkq+/PaVwwODNbbA8XY0alsDuU6rRkF42gK5peGVRY0pfN7go8nHgKcDh3fhnSdp8kT8xGb8HWqehIekxlNfs4OLMoAJp1fRi96RpuxtXxrO9BYCkg4CX2z6n+/ohTG1wW9NrKXtJ/0NJQTqaUhW1pj6l5b2VMvl/Fczv6bdfgzj6oHUD+WF9aAD9MRr+fRnas7hGdxFieM/imrXiaFFgrS/mwgSrL71Kphj+A1DZsylXw6uWeB5jdxpele/Mk7TOSKrRvEaxrO+eNoCuqHcriz254noxZcWmdbGNL1JWj06j0ZXnAdv/kXQp5cRob8pV0NpN2wcluEdjq10h9gGDyVU3/rldpkYLT7f9DsokCwBJzwW+VTGGZaQFpfy7tLwm+2xs39wVyzmB8ly50HbT105Dr6Q0kL8HcDllsrlri0C8cKXgn0uqvkLf+O9LH/cszteiIF1tc2GC1YeUhUFPrm0p6SzDKXF7Vg7lYsoqSesJVh+uyvcl1Qh60gC6pR6uLPblimtfim38y/YPGo7ft6btw+WUlweeC4ytyDVh53fpxcPVyFq9j/wvC0+mxh2bpHFpeU2et5IeD3yFcoFIwL0kvah2Sn4fdEVYmjeQh/kl4wdaNYBu+vfF9j7APn3asziiekG62mZ9kQv1pFeJpKMoE4opV39t7z3tD00mjkOB9Vl4r0+tjdlv6D59MD0ogd1NfKekGtn+S80Yujh60QC6D3pUxGANyhXXJ7IgvWe3Vquuku5IeU402RAt6QPAspS01eHXbJViCupZ0/ZxWhSr6VJ9XgU8lvI8PR1Y2/ZLK8awFfA04HmUBuEDq1DaCVSrAqpSifblLHjdngHc3Xb11RJJpwE7DgpsSbo/cKBH+h8tDbr38dey8EXmFkWlmjeA7svfF/WolUAfC9JN0qxewepSAw536VXyjsV9/4Td0/ZTG8cAJd/38JFjNWfRd+w+9uKqfB9SjTp9eG70RV9WFmW7+RXXbk/N1+hWRyT9DXih6/fAemT3cXjlxkCtjeEPAa6kXOW9wKVUerMrgCNV/Jah3C93nObbJ8b29d2m/btT9teuDhxSOYw/AqdSVheH06+upryeq+nS8n5JKTO9PeV1c2jNGIYsN3yyaPvXkpZrFEtr36GkGR9B41Ykfbgo06MVvV7sWexxQbqJmdUTLPerV8kvJD10OFe+hdGN2ZLuRek3VGv894yMv0o57KtrxdCN26dUo/kbPSXdhZJutNTqSxEDymv2EsoV+UPdqHkrsC/wBtvHwvy0oy8AtXroAQuKKgyTdNeK46+vBU3bfyTpr8AdJd3NFZu2DxnOPhhcBX9ercG71ZDnU/Yo/p1u5cj242vFMGD7LOAsSd+wfWMX3+rAvWxfWSOGRdwfCz1vKzq124P1te7rnZg6AV2aXG/7E62DgH6s2vRoRa8vexbfTT8L0k3MXEgRbNqrZCiOXwH3pQcpYN3S9HMpf4juARxmu2rVKZWGy/uz4Irvv4CXjNl8Oomxe5dqJOmZlBO2NYG/Uiq1ne+lsF/KgKRVKSuLOwIPtF19ZVHSIygnbc+m7Gs5yPbXF/lDMx/DWbbXX9yxivE0f1y6OAZN258L1GzaPhh/foGcoWP3sX1JpfFvBn4GvNT2Rd2xixsU2RiO6TjKhavbAWcCVwA/tf2GRfzYTI3dx/vjDpRCDptR/uYfD3ymB0Wmquv2wt+P8ne3eorxSCxn2t5g5NgZ7vpzVYrhLMqK3jkMrei5fl/BD1MmecN7Fn/X4JyweQ+92mb1Clanda+Sga1aDt7t39iGclJ0f0r38HVs37NRSF8CXm37Z118m1EmXDVeTL1KNersRbkQ8CPbG0ragrpd3XuhhyuLJwMnS3o/8FHKhvWqEyzgYkn/jwVXwXemXKippm+PC4DtUykrBG+iXDCp7RDKfTF6rNb+mm0pk/9juz2+B7GgElgrq9q+StL/APvb3kOl2W4Nvbs/uhT0rwFfs31Fy1h64KHACygpxcOtSKr1nhrSh1WbvqzovZWyZ3HQSuAMSrpxbb0oSFfTrJ9gjabEtWL7MpVGco/tDv2sS6uo5a/AycA7gRNsW9I2FccfdfVgcgVg+wRJVdIEe5hqBHCj7b9LWkbSMraPVelZttQYWVn8FAtWFo9rFM8qlIsSz6cUIDmMksJQ20uA91CKSwyugu9Sa/C+PS5jVG3a3r13PBhYVdJzhm5ahYrpvbYPAw6TtBJlsvt64K6SPkvJSjimVixDbifp7pRUyar7nvt0f0gSsAfwGsprVpJuAj7p+pWD+2IbykXdG1oHQj8aQO8jaQ8ar+j1aM/iuB56720QRzWzfoKlnvQqkbQb8DIWNI79uqR9Xa885tspJ4qfBb4h6ZuL+f5JO1nS54EDKY/P9pTCBhvB5N9kbF8AvAt411Cq0cmSqqcadf4paWXKyfMB3aSvduPD1vq2sngWZWP2nrZPbBVEt4elakrziL49LqNqN21fD9iasi/wGUPHr6a8x1dl+xrgAMr7xp0oKZNvo5y41bYn5cToBNunSFoH+E3NAHpyf+wOPAbYZJAy2t0Xn5X0etsfqxhLX5xFec38tXEc0I8G0E1X9Pq0Z1H9KkhXzVzYg3XnoS/n9yqx/a7KcZwNbNq9+dNdZTuxdn5p9ya/A+WFdT/KVbbDbP+6chzHLuJm266eNtBdddy8dg50N/ZKwHWUamQ7AatSNuG2bMRc3dDK4vaUP8QPAB7aYmVxOIWkBUkft727pCMYf5Go2mboPj0ufSFp05YT7z6SdCfb/2gdR2uSzgCe5FIpbvj4POCYmnt9+qLbn/cw4BSmrtg0qRKn0ntqPRY0gL6x8vgXAA9rtaLXtz2Lkg4HXuD2BemqmfUTrHHUplfJOZSrWdd3Xy8PnGL7oTXjGInpoZSTpufZXrdVHH0h6dWUKzmH1kg1Ghp3WeDo7upNdFoVMZhuQjNQ64RA0sNtnybpcdPEUf1CAPSiuEQvmrZ3J8svGxPHS2rG0SeSfkMpbrE/8IOWFyhaknSu7Yfc0tvmsj69j2lMA2jgRa7YALrLInqt7SYret0WkedTqtEO9izu50bFvtSTgnQ1zYUUwV70KqH8wTlJ0mHd18+mVJBpxqVk/P92/6qT9HTKXob5+xYa56fXTjUCetdOoDcaFjH4SPfxOcDdWFDUYgfKH+QqvKCi5ga29xm+rUs5bjLB6kFxie+yoGl7y2ps36VcAf4RQ83jl3L3pzROfQnwye4k8su1MyR6YFGrEn3Yg1Sd7Z+qtHXYpDt0cqvJBaVi75M90gCaegVqAO4KXCCpyYpen/YsdvpSkK6aWb+CNZKKNuhVsrcbdIruJnvzy7XaPqN2DKMk/Qi4Efi07e9VHPdzwIrAFpTc5+0ob7gvrRVDnyyNV2+WVMOVxeNtb764YxXiON32RiPHzmidZtTwcenFCoDGlHqOBVQqoX4dWImy/+ZtS0tKZVfQ4ppxNwHL217qmg1Leh7wYUqfI1EKfr3Zdu2m2GPLf487NuEYerOiNzC0Z3H7Fts0ljZzYYLVulfJKi5la+807vbW+eqS1qSU5HyUh7p5Vxj3bNsPG/q4MvBt20+uGEMvUo26WF407rh7UgWzJZWmkA8A7l1539H5wNMH7x8qjSGPtP3ASuPvQEnh3YyyUjJwR+Cm1imlDR+XfSnV2Jo2bZf0XuAXto9sGUefdHued6Zs3v8LJUvjcGAD4Fut0o+iPZW+T08arFp1KbY/coN+fpK+REkDH24AfTvb1aqzdnH0ZUWvub4UpKtpLkywxl39Pc12laVgSd+zvfWYJ8+g0XD1J49KT5u1WqziDcVwsu1HqJQHfQ7lSvi5tu9XMYajWJBqND/Fx/betWIYiWdeN/7S3i+lFyQ9FdgXGFygWRt4he2jK41/b+A+wP9RqqANXA2cXXPVqE/Uk6btKm0lVqKkfN0wFMcqNePoE0m/ppy07m/78pHb3mp7qWo9EQtIOmd4z7mkZYCzWuxDVw8aQPdpRa8P+lKQrqZZO8HSgl4lHwLePHTTKpQn8YObBNaYpGdQ9pjc3vZ9JG1AKUNdtZKPSuPUTwJPAD5NmXx+oeaLqQ+pRl3lwuF+KctQUlmX2n4pPVtZvANllQbgAmA123+pHUcf9OVx6SaeC7F9Wc04YmGtK2/2XbcqDiUl/1NNg6lM0ocpVQQP7A5tT7lQ9NZG8TS9oNmnFb2+alGQrqbZXOSiV71KJP3Y9hMWd6yCd1OapR4HYPtMSWvXDKC7cvVj2/8EDpX0PUpeeu0CD7+Q9NDGqUa7k34po/pSxADb/5F0KWVisTfwQOAeNWOQ9CjKxYgHArcHlgWuabBS0ovHxe2btgPzL47sBNzH9l6S7gXc3fbJtWNpTaXE8uDzhW6vfQGvr2w/sLtS/6jWsdQi6b7AXW2/WaUx92DV6ERKv7KasfSpAfQyIymBf6dcYF0q9aggXTWzdgVrQI17laiUY18ROBZ4POVFDWUl7Qe19nMMxXOS7UcOb5KvvbmzG/NE25vWHHNMDM1TjZR+KQvpycriCpRKkjsCG1He6J9NKU5z8yJ+dBKxnEopp/styh+dFwL3tV21IWMfHpcujtGm7dsANZu2D+L4LKVB6JbdifPqlNfsJov50TlH0hXA7ymrEyex4O8c0HbjfkuSXkPpZ3hl61ha6S6gvt322SPHNwb2sP2M8T85kVheDzwNePnoBU3gqJoXNPu2oteaelSQrpbZvII1cJGkt9OuV8krKKsUa1Ku/A7+8FxFSY2r7VxJOwLLSrof8DrgFw3iOEbStpTCFq1m8Vs1GnfYcqOTKyhpC5KWukpTnaYri5IOoJQfPwb4FPAT4CLbx7WIB8D2RZKWtX0TsL+kFq/ZPqz4ArwUeKQXNG3/IOVqeNUJVhfDRt1FEmxfqdK8dGl0N+BJlFYGO1LKLR9o+7ymUbV3N+AUSacDX6L0O5zdV61vubVHJ1dQ2j3Uzp6hXJyackHT9sWSdqa83098gtWnFb2eeanHFKRrFUwNc2G58rvAqpReJd+ncq192/t0lZPeZHsd2/fp/q3fKAf7tZS9af8BvkFJ+dm9QRxvoFyR/4+kqyRdLemqmgF0ezZWo6SQPoOyv6b2Po70S1nYZsBpki6UdLakcyQt9Ad6gh4CXAmcD1zQTWpanhRd2524nynpQ91V2JUaxNH6cRkQU/tO3cTIikklN6o0CTfMX3WuurrZF7Zvsn2U7RdR0t8uAo6T9NrGoTVl+53A/SjVFF8M/EbS+yWt2zSwupZfxG0rVIuimPaCJlDrgubHKVtVsP1t22+w/XrgyO62pdW44h5zuuDHXFjBWrEnS643S1qt23dEl06yg+3P1AqgOxk43KW8c9X0olG2m+fWjkk1+rqk2qlG608zsRSL/sM0lzVdWbS9flckZ0fgR5L+CtxR0t1s/7lBSC+g7Lt6DaUZ5L0oe8Jq68OKL/SnafsngMOAu0h6H6WX3zsbxNELXRGUp1NWsdam3D/fXtTPLA1sW9KfgT9TUp9WBw6R9EPbb2kbXRWnSHqZ7S8MH5T0UkpWT019uKDZpxW95oYK0q3aregNrMIcPweaC3uwetGrRGOaUqpBs9BuM/ILGhSUGI1jozGH/wVc5krlp7ur75sOpRqtBJxYez9aLKwPRQyGYtmYctL4XOBy249uFUtrfXlc1JOm7d3JwRO6OH5s+/zF/MicJOkrlJXfHwAH2T63cUi9IOl1wIuAvwH7Ad+xfWNX6Ok3tuf8SpZKr6fDKBOYwYRqY0rBnm1qXrRSDxpAS7rI9n1v6W1zlaRnUS6SPZPSM2/gasp7SYt0+CrmwgSrF71KupP59Qf5191q0tmuXC5e0sGUFI4fMvRGY/t1leP4JaV4wGA/x0OBs4A7A6+0fUyFGM6hVO+7vvt6eeAUN+jLEQv0pYjBqK4C1ea1N+xL2hrYC7g3Jaug1XtY08dFPWvaLmkf4Jtz+QRgSUm6mQV/T8b1e1wqe4NJ2hP44rjUc0kPXJom5JK2oEzCAc6z/ZOW8bQi6UDgJ9Os6D3Z9vZtImurdUG6Fmb9BKsvuooxawOfo/wBeiXwO9tvqhzHi8Ydt/2VynEcBOw12AQt6UGUfmV7UQpfbFAhhjdQri4Opxp92fbHJz12TK+vK4uSXk0ppXtorVXWbtyLKM24z2m5Qb7146KeNW3v3ku3B+5PeQ/5pu1Ta8YQ/dddTL0rU4ts/a5dRNFSn1b0+qTbw/oy2hWkq27WT7C6q87Ne5V0KQEvB55IOSE4o4tj15px9MU0KZNn2t5g3G0TjKMXqUaxQF9XFiXtSmk6fG9X7OvTla99giuXhx8TRy8fl9a6FbVtKaX017J9v8YhRU+olGl/N/AXFhRAceuLRdFeVvSm6irj/owy6ZxfxMj2oc2CmrC5UOTiM3S9SiirI/+mlEev2qvE9s1dWtw6lKuedwKqP3HGXP0FoPbVX+BClT4yB3Vfbw/8utsofeMkBx5JNbq0+ze47U61U41iIX0pYjCF7RZtFQDeAhwp6acMNfi1/dHKcfTicVF/mrYP3Jcy8V4b+FWjGKKfdgfWs/331oFEv9g+ltIfNYq+FKSrZi5MsJr2KpF0f8qVzR0o6UXf7OLYolYMIzYe+nx5ysb9sXsaJuzFwKspf4AEnAC8iTK5mvR98w1ga8qVkoVSjSiT4GjE9kclHceClcVdWqwsdpP9bVk4ZWHPyqG8j3JhaHlKGkkTrR8XLWjavkZXhXW4afuateIYiueDlNTN3wIHU1Ke/1k7jui131OKN0XEon1P0tNaF6SraS6kCJ4EPJqSyrJRl+d5TK3qfd3m359Rmqhd1B27uMGK0bQknWB7swbj3h5YjzKpudD2RFeuot96WMTgKMrJ0WjKwt6V4zjV9saL/86Jjd+Lx6UrsrE7ZTL1B6Y2bf+CK/cVlPRK4BCP6asTS7dufy+U8tPrUXpvtlx9jui1vhSkq2kurGC17lUyyM0/tjthO4g2TTGBhcqjL0NZ0arek0rS44GvUNLzBNxL0otsH18xhr6lGi3t+rayeE/bT6085jg/kvTkGpU1p9GLx8X2PsA+kl7bsqLk0HvoycBaktYavt326fWjip4Z/E39Xffv9jRcfY7oO/egN2pts34FC/rRq6SruPVsSqrglpTJxWG1T5q6DfMD/wUuAfa2fWHlOE4DdhyM26VSHmj74RXGHqQaHQs8nqmpRj+w/cBJxxD9J2lf4JO2z1nsN082jsGVvf9QUmjn/JW9RemKjRzgRk3bh95Dl6dcoDqL8pg8DDipRTZA9JukVSiv2atbxxLRR30pSFfTrJ9g9bFXSZdq81xge9tbVh57HdsXjxy7j+1LKsdx9mglpXHHJjR2r1KNYqq+rCxK+hWlgMEllMnNYGKzVFYA69Hj0pem7QcB7xtMwCU9BHiT7RfXjCP6S6VJ+f4sWNH6F/AS26dN/1MRS5+u6NnNwJa2H9hdODvGdtWCdDXNhRTB04F3diskvehV0u1Z+Hz3r7ZDKA1+R49NfOVoxKmSvgh8rft6Jxb0hJiovqQaxVR9K2IAbNVgzPkkPcD2BSNpvfPVSkXr4eOyjCQNeoJ1fYZapF89YHh10/a5kjZoEEf015eAV9v+GYCkzSgTrqXyIk3EIjQtSNfCrJ9guTTQ/cpQr5IPSlrqepV0aZIPBlaV9Jyhm1ahpLrU9ipgV+B1dD2oKCX1a7pZ0mqtUo1iIa9gwcriaUxdWaxeIt32ZZLWBx7bHfqZ7bMqhvAGSu+8cUU1TEk1rqFXjwtwNHCwpOGm7T9oEMf5kvYDvt7FsTMp0x5TXT2YXAHYPqFL+Y2IqW7sLpYNLpzNY0HvuDlp1qcIDkh6BKXX0rOBX9l+RtuI6pL0LMr//ZnA4UM3XQ0c1KcUylr6kmoUU/VlZbFLJX0Z8O3u0DbAvn2IrYUePS69aNrerey9ijIBFyVbYm3bL60ZR/SXpI9RVn8PpJw4bg9cSdcDMwVRIgpJO1FeHxtRahRsB7zT9reaBjZBs34FK71KCtvfBb4raVPbJ7aKQ9LBtp8n6RzGNzyumTrRl1SjmKovK4svpaQtXNPF8UHgRKD6JEPSo1m4H9dXK4fRi8fFPWnabvv6ruDF3bs4VqekW0cMbNB93GPk+KOpuwod0Wu2D+iKnw0K0j27RUG6mmb9ClZ6lUzVLbu+jIVP1l5Safy72/6TpHuPu932ZTXi6GL5MOV+GE41+p3tN9WKIRbWl5XF7iLAJrav775entJP76GV4/gasC5wJgv6cdn26yrH0fRx0fim7W+yPfa9ZK7HERExV/SxIN2kzdoVrPQqmdZ3KY2Pf8RQ89RabP+p+zh/IiVpDeDvrj+bfysl1ehVDKUaVY4hFtaXlcX9gZMkHdZ9/Wzgiw3i2Bh4UIPXx6jWj8sFlPeuZ3hB0/bXVxy/b3HELCDp6ZT9z/P3Otves11EEb3Uu4J0kzZrJ1gs2Bg+tlcJsLT2KlnR9ltbDS7pUcAHgH8Ae1GqCK5BOXl7oe2jasXSl1SjWEgvihjY/qik4yjvFQJ2sX1G7TiAc4G7AX9qMPaw1o9LX5q29yWO6LnutbIisAWwH2VfyZzt6xNxay2NBenmQopgepUMkfRe4Be2j2w0/qnA24FVgX2BrWz/sqtyeGCNdKOk+PRb6yIGklaxfVX3Rr+Qrs1CNd0+nw0oJ2b/WRCGn1U5jr4Ul+hL0/ZexBH9NejtOPRxZeDbtp/cOraIPlqaCtLNhQnWuH0DCx1bWnQlYlcCbuj+DZqnrlJp/Pn3vaTzbT9w6LYq+zkk3UxJ8XnpUIrPxbbXmfTYsWS6fkI7Ut5oLwYOdaUG0JK+Z3trSZcwtRDL4LVS9Xki6XEjMWxGKS7x4JpxdLFsQKPHZZp4mjVt72Mc0S+STrb9iC5T4jmUC3rnzuWr8hG3xpiCdN+e6wXpZnOK4EB6lQyxfcfFf9dEDfc1uG7ktlqz+aT49NA0K4vY3qJmHLa37j7ep+a407H906GJzfOASyiFWaroy+Myjts2be9dHNE7R0haDfgwZY+JgS80jSiiny4BNl2aCtLNhRWs9CoZIknATsB9bO8l6V6UNJ8qeeGSbgKuoTwWKwDXDm4Clre9XI04uliS4tMjfVtZlPRj209Y3LEJjt+LVNa+PS4Rs0GXUvuoQVU0SXeg/I37V9vIIvpjqCDdWHO5IN2sX8FKr5KFfIayirQlpcjEv4FPA5vUGNz2sjXGWRJdf6MDgAOGUnzeBmSC1UYvVha7izIrAmt0vZ4GMawCrFkxlL5Uq+vF4xIxm3RFlPYGNu2+/g8L9lBGRLHUFqRbpnUAt5ak+0t6l6TzgU8Bvwew/fiWewZ64JHdpvTrAWxfSZrrYvsftj+f/RPt2D7M9vbAA4DjgNcDd5X0WUk1N4W/Ajiti+O0oX/fpVyMqGVb4M+Uic0XJA0aMFbVo8clYrY5RtK2XeZIRIywvUWXbn4ZsJHtjW0/HNgQuKhtdJM1a1MEk9YynqSTKF3kT7G9Udd4+JhazUIjbomWxQMkvdb2J2uOOU0cvUtlTVGHiMUbKir1X8pFzapFpSJmi6WxIN1snmBtQ0lreTQwSGvZry8b11uRtBMlVXIjyonadsA7bX+raWARPSNpV+CAQSWjLl1wB9ufaRhTJjYRETGnSDqQsj9/uCDdSrZ3bBrYBM3aCdZAH6/+ttb1nBqkG/3Y9vmNQ4ronWmuqFVpJRARs980G/j/BVxm+7+144noq6WxIN1cKHKRQgZDJO0DfNN2zb0kEbPRMpLk7iqTpGXJfsWIWHKfoWSLnNN9/VDKJv47S3rl0nyhN2LY0liQbtYWuRgnhQyAclXgnZIukvRhSRu3Diiip44GDpb0BElbAgcCP2gcU0TMHpcCG9p+eLdxfwPgXOCJwIcaxhXRC0tzQbpZnyIY43WreYPyy2uls3zEVF0fm5dTToYEnEHpGbdr08AiYlZY1Mb9ub6BP2JJLM0F6ebUClZMcV9K2eW1Kf12ImKI7ZuBXwIXU/pzPAHIfsWIWFIXdu0MHtf9+wzw667p8I2tg4vogV60I2khK1hzjKQPAs8BfgscDHx7UCUtIkrKAmVldwfg78A3gTfZvnfTwCJiVpG0AvBqSrNUASdQ9mVdD6xo+98Nw4vojaWxIF0mWHOMpFcCh9j+W+tYIvpoaU5ZiIiZJen2wHqU0tMX2s7KVcQiLC3tSDLBmiOmKRc7n+3Ta8US0WfpoRcRM0HS4ylX4i+lrGDdC3iR7ePbRRURfZAJ1hzRlb8EWJ6yn+Qsyhv+w4CTbG/WKraIPloaUxYiYuZIOg3Y0faF3df3Bw7sKgpGxFIsRS7mCNtb2N4CuAzYyPbG3Zv8hsBFbaOL6B/b19g+wPbWwD2BMyk99CIilsRyg8kVgO1fA8s1jCcieiIrWHPMosrGtokoIiJi7pH0Jcreq691h3YCbmd7l3ZRRUQfZII1x0g6ELgG+DrljX9nYCXbOzYNLCIiYg7pyrHvyoIqgscDn7H9n6aBRURzmWDNMZKWB14FPJbyhn86sLbtlzYNLCIiIiJiKXC71gHEzLJ9fVfw4u7A9sDqwCFto4qIiJgbJB1s+3mSzqFkikxh+2ENwoqIHskEa46Ypnkqth/fMKyIiIi5Zrfu49ZNo4iI3kqK4ByR5qkRERFtSFoD+LtzUhURpEz7XLIt8GfgWElfkPQEyh6siIiImCGSHiXpOEnflrShpHOBc4G/SHpq6/gior2sYM0xaZ4aERExOZJOBd4OrArsC2xl+5eSHkBpNLxh0wAjorlMsOYwSXcCngtsb3vL1vFERETMdsO9JSWdb/uBQ7edkQlWRCRFcA6z/Q/bn8/kKiIiYsbcPPT5dSO35ap1RGQFKyIiImJJSboJuIayz3kF4NrBTcDytpdrFVtE9EMmWBERERERETMkKYIREREREREzJBOsiIiIiIiIGZIJVkRE9Jqku0r6hqSLJZ0m6URJ27SOKyIiYpxMsCIiorckCfgOcLztdWw/HHg+cM8Z+N3L3tbfERERMSoTrIiI6LMtgRtsf25wwPZltj8paVlJH5Z0iqSzJb0CQNLjJR0n6RBJF0g6oJuoIelSSe+SdALwXElP7lbETpf0LUkrd9/3AUm/6n7vR1r8xyMiYna6XesAIiIiFuHBwOnT3PZS4F+2N5F0B+Dnko7pbtuw+9k/Aj8HHgOc0N12ve3NJK0BfBt4ou1rJL0VeIOkTwHbAA+wbUmrTeR/FhERc1ImWBERMWtI+jSwGXADcBnwMEnbdTevCtyvu+1k25d3P3MmsDYLJljf7D4+CngQZWIGcHvgROAq4HpgP0nfB7430f9URETMKZlgRUREn50HbDv4wvau3crTqcDvgNfaPnr4ByQ9HvjP0KGbmPr37prBtwI/tL3D6KCSHgE8gbLf6zWUVMWIiIjFyh6siIjos58Ay0t61dCxFbuPRwOvkrQcgKT7S1rpFvzuXwKPkXTf7udX7H7HysCqto8Edgc2uI3/h4iIWIpkBSsiInqr2wP1bOBjkt4CXEFZgXor8C1K6t/pXRGLK4Bn34LffYWkFwMHdnu4AN4JXA18V9LylFWu18/IfyYiIpYKst06hoiIiIiIiDkhKYIREREREREzJBOsiIiIiIiIGZIJVkRERERExAzJBCsiIiIiImKGZIIVERERERExQzLBioiIiIiImCGZYEVERERERMyQ/w9PnkLMtwp9agAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_n = 10  # Number of top genres to display\n",
    "top_genres = ratings.groupby(\"genres\")[\"foreign_gross\"].sum().nlargest(top_n).index\n",
    "\n",
    "# Select every 10th genre\n",
    "n = 10  # Display every 10th genre\n",
    "selected_genres = ratings['genres'].unique()[::n]\n",
    "\n",
    "# Combine the two sets of genres\n",
    "filtered_genres = list(set(selected_genres) | set(top_genres))\n",
    "\n",
    "# Filter the data to include only the selected genres\n",
    "filtered_data = ratings[ratings['genres'].isin(filtered_genres)]\n",
    "\n",
    "# Create a bar plot using the filtered data\n",
    "plt.figure(figsize=(12, 6))\n",
    "ax = sns.barplot(x=\"genres\", y=\"foreign_gross\", data=filtered_data, ci=False)\n",
    "plt.title(\"Genre vs Foreign Gross (Top 10 and Every 10th Genre)\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel(\"Genres\")\n",
    "plt.ylabel(\"Foreign Gross\")\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Relation of movie genres based on the gross accumulated on the domestic country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_n = 10  # Number of top genres to display\n",
    "top_genres = ratings.groupby(\"genres\")[\"domestic_gross\"].sum().nlargest(top_n).index\n",
    "\n",
    "# Select every 10th genre\n",
    "n = 10  # Display every 10th genre\n",
    "selected_genres = ratings['genres'].unique()[::n]\n",
    "\n",
    "# Combine the two sets of genres\n",
    "filtered_genres = list(set(selected_genres) | set(top_genres))\n",
    "\n",
    "# Filter the data to include only the selected genres\n",
    "filtered_data = ratings[ratings['genres'].isin(filtered_genres)]\n",
    "\n",
    "# Create a bar plot using the filtered data\n",
    "plt.figure(figsize=(12, 6))\n",
    "ax = sns.barplot(x=\"genres\", y=\"domestic_gross\", data=filtered_data, ci=False)\n",
    "plt.title(\"Genre vs Domestic Gross (Top 10 and Every 10th Genre)\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel(\"Genres\")\n",
    "plt.ylabel(\"Domestic Gross\")\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Assuming you have imported your 'ratings' DataFrame with the necessary data\n",
    "\n",
    "# Sort the data by 'domestic_gross' in descending order and select the top 10 genres\n",
    "top_n = 10  # Number of top genres to display\n",
    "top_genres = ratings.groupby(\"genres\")[\"domestic_gross\"].sum().nlargest(top_n).index\n",
    "\n",
    "# Filter the data to include only the top 10 genres\n",
    "filtered_data = ratings[ratings['genres'].isin(top_genres)]\n",
    "\n",
    "# Create a bar plot using the filtered data\n",
    "plt.figure(figsize=(12, 6))\n",
    "ax = sns.barplot(x=\"genres\", y=\"domestic_gross\", data=filtered_data, ci=False)\n",
    "plt.title(\"Genre vs Domestic Gross (Top 10 Genres)\")\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel(\"Genres\")\n",
    "plt.ylabel(\"Domestic Gross\")\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the above Observations from the Bar Charts based on both Local Gross and Foreign Gross:\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Interception is the most watched movie\n",
    "* Internationally the Bohemian Rhapsody is the highest selling movie\n",
    "* Locally Avengers Infinnity  was the highest in selling\n",
    "* The Best Genre Movie that is majorly with a large audience is Action, Adventure SciFi Movies\n",
    "* Action Thriller Movies are the most watched\n",
    "* Biography, Dramma, Music is the Most selling genre sold internationally"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Recommendation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on The Market for Local and International in this case Foreign, i would advise the Managers of Microsoft to:\n",
    "\n",
    "> They should invest in Adventure, Animation, Comedy and Action, Thriller Movies and Biography, Drama, Music Genres for International Market. This is because they have the highest selling rates in Foreign Countries.\n",
    "\n",
    ">  Action, adventure sci-fi movies have the highest number of people watching them both locally and  foreign countries and thus should be given a priority when Investing in the movie industries\n",
    "\n",
    "> Also Adventure, drama, sci-fi movies, action thrillers, and western drama are the highest-watched genres "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It Was A Happy Hacking"
   ]
  }
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