Day 4-5 | Box Office Revenue Analysis and Visualization.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Box Office Revenue Analysis and Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Day 4, 5 of 100 Days of Data Science\n",
    "\n",
    "Checkout my Kaggle [kernel](https://www.kaggle.com/themlphdstudent/box-office-revenue-analysis-and-visualization)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-18T05:35:24.088943Z",
     "start_time": "2020-08-18T05:35:24.053671Z"
    }
   },
   "source": [
    "![](https://news.tfw2005.com/wp-content/uploads/sites/10/2018/12/boxofficeearnings-Transformers-Bumblebee.jpg)\n",
    "\n",
    "<center>Source: https://news.tfw2005.com/wp-content/uploads/sites/10/2018/12/boxofficeearnings-Transformers-Bumblebee.jpg</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-18T05:35:48.131435Z",
     "start_time": "2020-08-18T05:35:48.111321Z"
    }
   },
   "source": [
    "#### About Dataset:\n",
    "id: Integer unique id of each movie\n",
    "\n",
    "belongs_to_collection: Contains the TMDB Id, Name, Movie Poster and Backdrop URL of a movie in JSON format.\n",
    "\n",
    "budget: Budget of a movie in dollars. Some row contains 0 values which mean unknown.\n",
    "\n",
    "genres: Contains all the Genres Name & TMDB Id in JSON Format.\n",
    "\n",
    "homepage: Contains the official URL of a movie.\n",
    "\n",
    "imdb_id: IMDB id of a movie (string).\n",
    "\n",
    "original_language: Two digit code of the original language, in which the movie was made.\n",
    "\n",
    "original_title: The original title of a movie in original_language.\n",
    "\n",
    "overview: Brief description of the movie.\n",
    "\n",
    "popularity: Popularity of the movie.\n",
    "\n",
    "poster_path: Poster path of a movie. You can see full poster image by adding url after this link --> https://image.tmdb.org/t/p/original/\n",
    "\n",
    "production_companies: All production company name and TMDB id in JSON format of a movie.\n",
    "\n",
    "production_countries: Two digit code and full name of the production company in JSON format.\n",
    "\n",
    "release_date: Release date of a movie in mm/dd/yy format.\n",
    "\n",
    "runtime: Total runtime of a movie in minutes (Integer).\n",
    "\n",
    "spoken_languages: Two digit code and full name of the spoken language.\n",
    "\n",
    "status: Is the movie released or rumored?\n",
    "\n",
    "tagline: Tagline of a movie\n",
    "\n",
    "title: English title of a movie\n",
    "\n",
    "Keywords: TMDB Id and name of all the keywords in JSON format.\n",
    "\n",
    "cast: All cast TMDB id, name, character name, gender (1 = Female, 2 = Male) in JSON format\n",
    "\n",
    "crew: Name, TMDB id, profile path of various kind of crew members job like Director, Writer, Art, Sound etc.\n",
    "\n",
    "revenue: Total revenue earned by a movie in dollars."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import required libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:37.463196Z",
     "start_time": "2020-08-19T14:01:33.230363Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# for visualizations\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "plt.style.use('dark_background')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-18T05:36:10.388862Z",
     "start_time": "2020-08-18T05:36:10.382583Z"
    }
   },
   "source": [
    "## Data Loading and Exploration\n",
    "Let's add only train data for now because my main goal for this notebook is to perform data analysis task and not a submisison.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:38.062734Z",
     "start_time": "2020-08-19T14:01:37.481961Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 327 ms, sys: 68.9 ms, total: 396 ms\n",
      "Wall time: 572 ms\n"
     ]
    }
   ],
   "source": [
    "%time train = pd.read_csv('./resources/data/tmdb-box-office-prediction/train.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's have a look at sample data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:38.359595Z",
     "start_time": "2020-08-19T14:01:38.088284Z"
    }
   },
   "outputs": [
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       "      <th>title</th>\n",
       "      <th>Keywords</th>\n",
       "      <th>cast</th>\n",
       "      <th>crew</th>\n",
       "      <th>revenue</th>\n",
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       "      <td>http://sonyclassics.com/whiplash/</td>\n",
       "      <td>tt2582802</td>\n",
       "      <td>en</td>\n",
       "      <td>Whiplash</td>\n",
       "      <td>Under the direction of a ruthless instructor, ...</td>\n",
       "      <td>64.299990</td>\n",
       "      <td>...</td>\n",
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       "      <td>105.0</td>\n",
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       "      <td>Released</td>\n",
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       "      <td>Whiplash</td>\n",
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       "      <td>tt1821480</td>\n",
       "      <td>hi</td>\n",
       "      <td>Kahaani</td>\n",
       "      <td>Vidya Bagchi (Vidya Balan) arrives in Kolkata ...</td>\n",
       "      <td>3.174936</td>\n",
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       "      <td>118.0</td>\n",
       "      <td>[{'iso_639_1': 'ko', 'name': '한국어/조선말'}]</td>\n",
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       "      <td>0.743274</td>\n",
       "      <td>...</td>\n",
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       "      <td>The Possession</td>\n",
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       "      <td>...</td>\n",
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       "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
       "      <td>Released</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>0</td>\n",
       "      <td>[{'id': 99, 'name': 'Documentary'}]</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>en</td>\n",
       "      <td>Control Room</td>\n",
       "      <td>A chronicle which provides a rare window into ...</td>\n",
       "      <td>1.949044</td>\n",
       "      <td>...</td>\n",
       "      <td>1/15/04</td>\n",
       "      <td>84.0</td>\n",
       "      <td>[{'iso_639_1': 'ar', 'name': 'العربية'}, {'iso...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Different channels. Different truths.</td>\n",
       "      <td>Control Room</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>[{'id': 256377, 'name': 'The Muppet Collection...</td>\n",
       "      <td>0</td>\n",
       "      <td>[{'id': 28, 'name': 'Action'}, {'id': 35, 'nam...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>tt0117110</td>\n",
       "      <td>en</td>\n",
       "      <td>Muppet Treasure Island</td>\n",
       "      <td>After telling the story of Flint's last journe...</td>\n",
       "      <td>6.902423</td>\n",
       "      <td>...</td>\n",
       "      <td>2/16/96</td>\n",
       "      <td>100.0</td>\n",
       "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>Set sail for Muppet mayhem!</td>\n",
       "      <td>Muppet Treasure Island</td>\n",
       "      <td>[{'id': 2041, 'name': 'island'}, {'id': 4418, ...</td>\n",
       "      <td>[{'cast_id': 1, 'character': 'Long John Silver...</td>\n",
       "      <td>[{'credit_id': '52fe43c89251416c7501deb3', 'de...</td>\n",
       "      <td>34327391</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6000000</td>\n",
       "      <td>[{'id': 35, 'name': 'Comedy'}, {'id': 10402, '...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>tt0310281</td>\n",
       "      <td>en</td>\n",
       "      <td>A Mighty Wind</td>\n",
       "      <td>In \"A Mighty Wind\", director Christopher Guest...</td>\n",
       "      <td>4.672036</td>\n",
       "      <td>...</td>\n",
       "      <td>4/16/03</td>\n",
       "      <td>91.0</td>\n",
       "      <td>[{'iso_639_1': 'en', 'name': 'English'}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>Back together for the first time, again.</td>\n",
       "      <td>A Mighty Wind</td>\n",
       "      <td>[{'id': 11800, 'name': 'mockumentary'}, {'id':...</td>\n",
       "      <td>[{'cast_id': 24, 'character': 'Jonathan Steinb...</td>\n",
       "      <td>[{'credit_id': '52fe45609251416c750545b3', 'de...</td>\n",
       "      <td>18750246</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "   id                              belongs_to_collection    budget  \\\n",
       "0   1  [{'id': 313576, 'name': 'Hot Tub Time Machine ...  14000000   \n",
       "1   2  [{'id': 107674, 'name': 'The Princess Diaries ...  40000000   \n",
       "2   3                                                NaN   3300000   \n",
       "3   4                                                NaN   1200000   \n",
       "4   5                                                NaN         0   \n",
       "5   6                                                NaN   8000000   \n",
       "6   7                                                NaN  14000000   \n",
       "7   8                                                NaN         0   \n",
       "8   9  [{'id': 256377, 'name': 'The Muppet Collection...         0   \n",
       "9  10                                                NaN   6000000   \n",
       "\n",
       "                                              genres  \\\n",
       "0                     [{'id': 35, 'name': 'Comedy'}]   \n",
       "1  [{'id': 35, 'name': 'Comedy'}, {'id': 18, 'nam...   \n",
       "2                      [{'id': 18, 'name': 'Drama'}]   \n",
       "3  [{'id': 53, 'name': 'Thriller'}, {'id': 18, 'n...   \n",
       "4  [{'id': 28, 'name': 'Action'}, {'id': 53, 'nam...   \n",
       "5  [{'id': 16, 'name': 'Animation'}, {'id': 12, '...   \n",
       "6  [{'id': 27, 'name': 'Horror'}, {'id': 53, 'nam...   \n",
       "7                [{'id': 99, 'name': 'Documentary'}]   \n",
       "8  [{'id': 28, 'name': 'Action'}, {'id': 35, 'nam...   \n",
       "9  [{'id': 35, 'name': 'Comedy'}, {'id': 10402, '...   \n",
       "\n",
       "                             homepage    imdb_id original_language  \\\n",
       "0                                 NaN  tt2637294                en   \n",
       "1                                 NaN  tt0368933                en   \n",
       "2   http://sonyclassics.com/whiplash/  tt2582802                en   \n",
       "3          http://kahaanithefilm.com/  tt1821480                hi   \n",
       "4                                 NaN  tt1380152                ko   \n",
       "5                                 NaN  tt0093743                en   \n",
       "6  http://www.thepossessionmovie.com/  tt0431021                en   \n",
       "7                                 NaN  tt0391024                en   \n",
       "8                                 NaN  tt0117110                en   \n",
       "9                                 NaN  tt0310281                en   \n",
       "\n",
       "                             original_title  \\\n",
       "0                    Hot Tub Time Machine 2   \n",
       "1  The Princess Diaries 2: Royal Engagement   \n",
       "2                                  Whiplash   \n",
       "3                                   Kahaani   \n",
       "4                                      마린보이   \n",
       "5    Pinocchio and the Emperor of the Night   \n",
       "6                            The Possession   \n",
       "7                              Control Room   \n",
       "8                    Muppet Treasure Island   \n",
       "9                             A Mighty Wind   \n",
       "\n",
       "                                            overview  popularity  ...  \\\n",
       "0  When Lou, who has become the \"father of the In...    6.575393  ...   \n",
       "1  Mia Thermopolis is now a college graduate and ...    8.248895  ...   \n",
       "2  Under the direction of a ruthless instructor, ...   64.299990  ...   \n",
       "3  Vidya Bagchi (Vidya Balan) arrives in Kolkata ...    3.174936  ...   \n",
       "4  Marine Boy is the story of a former national s...    1.148070  ...   \n",
       "5  Pinocchio and his friends, a glow worm and a m...    0.743274  ...   \n",
       "6  A young girl buys an antique box at a yard sal...    7.286477  ...   \n",
       "7  A chronicle which provides a rare window into ...    1.949044  ...   \n",
       "8  After telling the story of Flint's last journe...    6.902423  ...   \n",
       "9  In \"A Mighty Wind\", director Christopher Guest...    4.672036  ...   \n",
       "\n",
       "  release_date runtime                                   spoken_languages  \\\n",
       "0      2/20/15    93.0           [{'iso_639_1': 'en', 'name': 'English'}]   \n",
       "1       8/6/04   113.0           [{'iso_639_1': 'en', 'name': 'English'}]   \n",
       "2     10/10/14   105.0           [{'iso_639_1': 'en', 'name': 'English'}]   \n",
       "3       3/9/12   122.0  [{'iso_639_1': 'en', 'name': 'English'}, {'iso...   \n",
       "4       2/5/09   118.0           [{'iso_639_1': 'ko', 'name': '한국어/조선말'}]   \n",
       "5       8/6/87    83.0           [{'iso_639_1': 'en', 'name': 'English'}]   \n",
       "6      8/30/12    92.0           [{'iso_639_1': 'en', 'name': 'English'}]   \n",
       "7      1/15/04    84.0  [{'iso_639_1': 'ar', 'name': 'العربية'}, {'iso...   \n",
       "8      2/16/96   100.0           [{'iso_639_1': 'en', 'name': 'English'}]   \n",
       "9      4/16/03    91.0           [{'iso_639_1': 'en', 'name': 'English'}]   \n",
       "\n",
       "     status                                            tagline  \\\n",
       "0  Released  The Laws of Space and Time are About to be Vio...   \n",
       "1  Released  It can take a lifetime to find true love; she'...   \n",
       "2  Released    The road to greatness can take you to the edge.   \n",
       "3  Released                                                NaN   \n",
       "4  Released                                                NaN   \n",
       "5  Released                                                NaN   \n",
       "6  Released               Fear The Demon That Doesn't Fear God   \n",
       "7  Released              Different channels. Different truths.   \n",
       "8  Released                        Set sail for Muppet mayhem!   \n",
       "9  Released           Back together for the first time, again.   \n",
       "\n",
       "                                      title  \\\n",
       "0                    Hot Tub Time Machine 2   \n",
       "1  The Princess Diaries 2: Royal Engagement   \n",
       "2                                  Whiplash   \n",
       "3                                   Kahaani   \n",
       "4                                Marine Boy   \n",
       "5    Pinocchio and the Emperor of the Night   \n",
       "6                            The Possession   \n",
       "7                              Control Room   \n",
       "8                    Muppet Treasure Island   \n",
       "9                             A Mighty Wind   \n",
       "\n",
       "                                            Keywords  \\\n",
       "0  [{'id': 4379, 'name': 'time travel'}, {'id': 9...   \n",
       "1  [{'id': 2505, 'name': 'coronation'}, {'id': 42...   \n",
       "2  [{'id': 1416, 'name': 'jazz'}, {'id': 1523, 'n...   \n",
       "3  [{'id': 10092, 'name': 'mystery'}, {'id': 1054...   \n",
       "4                                                NaN   \n",
       "5                                                NaN   \n",
       "6                                                NaN   \n",
       "7  [{'id': 917, 'name': 'journalism'}, {'id': 163...   \n",
       "8  [{'id': 2041, 'name': 'island'}, {'id': 4418, ...   \n",
       "9  [{'id': 11800, 'name': 'mockumentary'}, {'id':...   \n",
       "\n",
       "                                                cast  \\\n",
       "0  [{'cast_id': 4, 'character': 'Lou', 'credit_id...   \n",
       "1  [{'cast_id': 1, 'character': 'Mia Thermopolis'...   \n",
       "2  [{'cast_id': 5, 'character': 'Andrew Neimann',...   \n",
       "3  [{'cast_id': 1, 'character': 'Vidya Bagchi', '...   \n",
       "4  [{'cast_id': 3, 'character': 'Chun-soo', 'cred...   \n",
       "5  [{'cast_id': 6, 'character': 'Pinocchio (voice...   \n",
       "6  [{'cast_id': 23, 'character': 'Clyde', 'credit...   \n",
       "7  [{'cast_id': 2, 'character': 'Himself', 'credi...   \n",
       "8  [{'cast_id': 1, 'character': 'Long John Silver...   \n",
       "9  [{'cast_id': 24, 'character': 'Jonathan Steinb...   \n",
       "\n",
       "                                                crew   revenue  \n",
       "0  [{'credit_id': '59ac067c92514107af02c8c8', 'de...  12314651  \n",
       "1  [{'credit_id': '52fe43fe9251416c7502563d', 'de...  95149435  \n",
       "2  [{'credit_id': '54d5356ec3a3683ba0000039', 'de...  13092000  \n",
       "3  [{'credit_id': '52fe48779251416c9108d6eb', 'de...  16000000  \n",
       "4  [{'credit_id': '52fe464b9251416c75073b43', 'de...   3923970  \n",
       "5  [{'credit_id': '52fe46f49251416c9106558b', 'de...   3261638  \n",
       "6  [{'credit_id': '52fe4981c3a368484e12ee29', 'de...  85446075  \n",
       "7  [{'credit_id': '52fe47a69251416c750a0daf', 'de...   2586511  \n",
       "8  [{'credit_id': '52fe43c89251416c7501deb3', 'de...  34327391  \n",
       "9  [{'credit_id': '52fe45609251416c750545b3', 'de...  18750246  \n",
       "\n",
       "[10 rows x 23 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head(n=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see that some features have dictiories. I am droping all such columns for now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:38.455480Z",
     "start_time": "2020-08-19T14:01:38.433204Z"
    }
   },
   "outputs": [],
   "source": [
    "train = train.drop(['belongs_to_collection', 'genres', 'crew', 'cast', 'Keywords', \n",
    "                  'spoken_languages', 'production_companies', 'production_countries', 'tagline','overview','homepage'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets have some statastics of data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:38.511915Z",
     "start_time": "2020-08-19T14:01:38.467544Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of data is \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(3000, 12)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"Shape of data is \")\n",
    "train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:38.546402Z",
     "start_time": "2020-08-19T14:01:38.519225Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 3000 entries, 0 to 2999\n",
      "Data columns (total 12 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   id                 3000 non-null   int64  \n",
      " 1   budget             3000 non-null   int64  \n",
      " 2   imdb_id            3000 non-null   object \n",
      " 3   original_language  3000 non-null   object \n",
      " 4   original_title     3000 non-null   object \n",
      " 5   popularity         3000 non-null   float64\n",
      " 6   poster_path        2999 non-null   object \n",
      " 7   release_date       3000 non-null   object \n",
      " 8   runtime            2998 non-null   float64\n",
      " 9   status             3000 non-null   object \n",
      " 10  title              3000 non-null   object \n",
      " 11  revenue            3000 non-null   int64  \n",
      "dtypes: float64(2), int64(3), object(7)\n",
      "memory usage: 281.4+ KB\n"
     ]
    }
   ],
   "source": [
    "train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:38.685228Z",
     "start_time": "2020-08-19T14:01:38.565234Z"
    }
   },
   "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>budget</th>\n",
       "      <th>popularity</th>\n",
       "      <th>runtime</th>\n",
       "      <th>revenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3000.000000</td>\n",
       "      <td>3.000000e+03</td>\n",
       "      <td>3000.000000</td>\n",
       "      <td>2998.000000</td>\n",
       "      <td>3.000000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1500.500000</td>\n",
       "      <td>2.253133e+07</td>\n",
       "      <td>8.463274</td>\n",
       "      <td>107.856571</td>\n",
       "      <td>6.672585e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>866.169729</td>\n",
       "      <td>3.702609e+07</td>\n",
       "      <td>12.104000</td>\n",
       "      <td>22.086434</td>\n",
       "      <td>1.375323e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>750.750000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>4.018053</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>2.379808e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1500.500000</td>\n",
       "      <td>8.000000e+06</td>\n",
       "      <td>7.374861</td>\n",
       "      <td>104.000000</td>\n",
       "      <td>1.680707e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2250.250000</td>\n",
       "      <td>2.900000e+07</td>\n",
       "      <td>10.890983</td>\n",
       "      <td>118.000000</td>\n",
       "      <td>6.891920e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3000.000000</td>\n",
       "      <td>3.800000e+08</td>\n",
       "      <td>294.337037</td>\n",
       "      <td>338.000000</td>\n",
       "      <td>1.519558e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                id        budget   popularity      runtime       revenue\n",
       "count  3000.000000  3.000000e+03  3000.000000  2998.000000  3.000000e+03\n",
       "mean   1500.500000  2.253133e+07     8.463274   107.856571  6.672585e+07\n",
       "std     866.169729  3.702609e+07    12.104000    22.086434  1.375323e+08\n",
       "min       1.000000  0.000000e+00     0.000001     0.000000  1.000000e+00\n",
       "25%     750.750000  0.000000e+00     4.018053    94.000000  2.379808e+06\n",
       "50%    1500.500000  8.000000e+06     7.374861   104.000000  1.680707e+07\n",
       "75%    2250.250000  2.900000e+07    10.890983   118.000000  6.891920e+07\n",
       "max    3000.000000  3.800000e+08   294.337037   338.000000  1.519558e+09"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:38.755757Z",
     "start_time": "2020-08-19T14:01:38.731603Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                   0\n",
       "budget               0\n",
       "imdb_id              0\n",
       "original_language    0\n",
       "original_title       0\n",
       "popularity           0\n",
       "poster_path          1\n",
       "release_date         0\n",
       "runtime              2\n",
       "status               0\n",
       "title                0\n",
       "revenue              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking NULL value\n",
    "\n",
    "train.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create new Column for release day, date, month and year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:39.496829Z",
     "start_time": "2020-08-19T14:01:38.799516Z"
    }
   },
   "outputs": [],
   "source": [
    "train['release_date'] = pd.to_datetime(train['release_date'], infer_datetime_format=True)\n",
    "train['release_day'] = train['release_date'].apply(lambda t: t.day)\n",
    "train['release_weekday'] = train['release_date'].apply(lambda t: t.weekday())\n",
    "train['release_month'] = train['release_date'].apply(lambda t: t.month)\n",
    "\n",
    "# Year was being interpreted as future dates in some cases so I had to adjust some values\n",
    "train['release_year'] = train['release_date'].apply(lambda t: t.year if t.year < 2018 else t.year -100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Analysis and Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Which movie made the highest revenue?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:39.557029Z",
     "start_time": "2020-08-19T14:01:39.500486Z"
    }
   },
   "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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>budget</th>\n",
       "      <th>imdb_id</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>popularity</th>\n",
       "      <th>poster_path</th>\n",
       "      <th>release_date</th>\n",
       "      <th>runtime</th>\n",
       "      <th>status</th>\n",
       "      <th>title</th>\n",
       "      <th>revenue</th>\n",
       "      <th>release_day</th>\n",
       "      <th>release_weekday</th>\n",
       "      <th>release_month</th>\n",
       "      <th>release_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1126</th>\n",
       "      <td>1127</td>\n",
       "      <td>220000000</td>\n",
       "      <td>tt0848228</td>\n",
       "      <td>en</td>\n",
       "      <td>The Avengers</td>\n",
       "      <td>89.887648</td>\n",
       "      <td>/cezWGskPY5x7GaglTTRN4Fugfb8.jpg</td>\n",
       "      <td>2012-04-25</td>\n",
       "      <td>143.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>The Avengers</td>\n",
       "      <td>1519557910</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        id     budget    imdb_id original_language original_title  popularity  \\\n",
       "1126  1127  220000000  tt0848228                en   The Avengers   89.887648   \n",
       "\n",
       "                           poster_path release_date  runtime    status  \\\n",
       "1126  /cezWGskPY5x7GaglTTRN4Fugfb8.jpg   2012-04-25    143.0  Released   \n",
       "\n",
       "             title     revenue  release_day  release_weekday  release_month  \\\n",
       "1126  The Avengers  1519557910           25                2              4   \n",
       "\n",
       "      release_year  \n",
       "1126          2012  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[train['revenue'] == train['revenue'].max()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:40.348430Z",
     "start_time": "2020-08-19T14:01:39.573374Z"
    }
   },
   "outputs": [
    {
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       "            background-color:  #f7fcfd;\n",
       "            color:  #000000;\n",
       "        }    #T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow9_col3 {\n",
       "            background-color:  #f7fcfd;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1ae\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >id</th>        <th class=\"col_heading level0 col1\" >title</th>        <th class=\"col_heading level0 col2\" >budget</th>        <th class=\"col_heading level0 col3\" >revenue</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aelevel0_row0\" class=\"row_heading level0 row0\" >1126</th>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow0_col0\" class=\"data row0 col0\" >1127</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow0_col1\" class=\"data row0 col1\" >The Avengers</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow0_col2\" class=\"data row0 col2\" >220000000</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow0_col3\" class=\"data row0 col3\" >1519557910</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aelevel0_row1\" class=\"row_heading level0 row1\" >1761</th>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow1_col0\" class=\"data row1 col0\" >1762</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow1_col1\" class=\"data row1 col1\" >Furious 7</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow1_col2\" class=\"data row1 col2\" >190000000</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow1_col3\" class=\"data row1 col3\" >1506249360</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aelevel0_row2\" class=\"row_heading level0 row2\" >2770</th>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow2_col0\" class=\"data row2 col0\" >2771</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow2_col1\" class=\"data row2 col1\" >Avengers: Age of Ultron</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow2_col2\" class=\"data row2 col2\" >280000000</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow2_col3\" class=\"data row2 col3\" >1405403694</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aelevel0_row3\" class=\"row_heading level0 row3\" >684</th>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow3_col0\" class=\"data row3 col0\" >685</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow3_col1\" class=\"data row3 col1\" >Beauty and the Beast</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow3_col2\" class=\"data row3 col2\" >160000000</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow3_col3\" class=\"data row3 col3\" >1262886337</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aelevel0_row4\" class=\"row_heading level0 row4\" >2322</th>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow4_col0\" class=\"data row4 col0\" >2323</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow4_col1\" class=\"data row4 col1\" >Transformers: Dark of the Moon</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow4_col2\" class=\"data row4 col2\" >195000000</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow4_col3\" class=\"data row4 col3\" >1123746996</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aelevel0_row5\" class=\"row_heading level0 row5\" >906</th>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow5_col0\" class=\"data row5 col0\" >907</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow5_col1\" class=\"data row5 col1\" >The Dark Knight Rises</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow5_col2\" class=\"data row5 col2\" >250000000</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow5_col3\" class=\"data row5 col3\" >1084939099</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aelevel0_row6\" class=\"row_heading level0 row6\" >2135</th>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow6_col0\" class=\"data row6 col0\" >2136</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow6_col1\" class=\"data row6 col1\" >Pirates of the Caribbean: On Stranger Tides</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow6_col2\" class=\"data row6 col2\" >380000000</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow6_col3\" class=\"data row6 col3\" >1045713802</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aelevel0_row7\" class=\"row_heading level0 row7\" >2562</th>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow7_col0\" class=\"data row7 col0\" >2563</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow7_col1\" class=\"data row7 col1\" >Finding Dory</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow7_col2\" class=\"data row7 col2\" >200000000</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow7_col3\" class=\"data row7 col3\" >1028570889</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aelevel0_row8\" class=\"row_heading level0 row8\" >881</th>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow8_col0\" class=\"data row8 col0\" >882</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow8_col1\" class=\"data row8 col1\" >Alice in Wonderland</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow8_col2\" class=\"data row8 col2\" >200000000</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow8_col3\" class=\"data row8 col3\" >1025491110</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aelevel0_row9\" class=\"row_heading level0 row9\" >734</th>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow9_col0\" class=\"data row9 col0\" >735</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow9_col1\" class=\"data row9 col1\" >Zootopia</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow9_col2\" class=\"data row9 col2\" >150000000</td>\n",
       "                        <td id=\"T_813fb1a4_e224_11ea_86b8_2cf0ee25c1aerow9_col3\" class=\"data row9 col3\" >1023784195</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fcc8946e3d0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[['id','title','budget','revenue']].sort_values(['revenue'], ascending=False).head(10).style.background_gradient(subset='revenue', cmap='BuGn')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The Avengers made the highest revenue."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-18T05:38:17.986439Z",
     "start_time": "2020-08-18T05:38:17.982550Z"
    }
   },
   "source": [
    "## 2. Which movie is the most expensive?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:40.446211Z",
     "start_time": "2020-08-19T14:01:40.373918Z"
    }
   },
   "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>budget</th>\n",
       "      <th>imdb_id</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>popularity</th>\n",
       "      <th>poster_path</th>\n",
       "      <th>release_date</th>\n",
       "      <th>runtime</th>\n",
       "      <th>status</th>\n",
       "      <th>title</th>\n",
       "      <th>revenue</th>\n",
       "      <th>release_day</th>\n",
       "      <th>release_weekday</th>\n",
       "      <th>release_month</th>\n",
       "      <th>release_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2135</th>\n",
       "      <td>2136</td>\n",
       "      <td>380000000</td>\n",
       "      <td>tt1298650</td>\n",
       "      <td>en</td>\n",
       "      <td>Pirates of the Caribbean: On Stranger Tides</td>\n",
       "      <td>27.88772</td>\n",
       "      <td>/wNUDAq5OUMOtxMlz64YaCp7gZma.jpg</td>\n",
       "      <td>2011-05-14</td>\n",
       "      <td>136.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>Pirates of the Caribbean: On Stranger Tides</td>\n",
       "      <td>1045713802</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        id     budget    imdb_id original_language  \\\n",
       "2135  2136  380000000  tt1298650                en   \n",
       "\n",
       "                                   original_title  popularity  \\\n",
       "2135  Pirates of the Caribbean: On Stranger Tides    27.88772   \n",
       "\n",
       "                           poster_path release_date  runtime    status  \\\n",
       "2135  /wNUDAq5OUMOtxMlz64YaCp7gZma.jpg   2011-05-14    136.0  Released   \n",
       "\n",
       "                                            title     revenue  release_day  \\\n",
       "2135  Pirates of the Caribbean: On Stranger Tides  1045713802           14   \n",
       "\n",
       "      release_weekday  release_month  release_year  \n",
       "2135                5              5          2011  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[train['budget'] == train['budget'].max()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:40.532067Z",
     "start_time": "2020-08-19T14:01:40.461641Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "            color:  #000000;\n",
       "        }</style><table id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1ae\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >id</th>        <th class=\"col_heading level0 col1\" >title</th>        <th class=\"col_heading level0 col2\" >budget</th>        <th class=\"col_heading level0 col3\" >revenue</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aelevel0_row0\" class=\"row_heading level0 row0\" >2135</th>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow0_col0\" class=\"data row0 col0\" >2136</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow0_col1\" class=\"data row0 col1\" >Pirates of the Caribbean: On Stranger Tides</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow0_col2\" class=\"data row0 col2\" >380000000</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow0_col3\" class=\"data row0 col3\" >1045713802</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aelevel0_row1\" class=\"row_heading level0 row1\" >2209</th>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow1_col0\" class=\"data row1 col0\" >2210</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow1_col1\" class=\"data row1 col1\" >Pirates of the Caribbean: At World's End</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow1_col2\" class=\"data row1 col2\" >300000000</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow1_col3\" class=\"data row1 col3\" >961000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aelevel0_row2\" class=\"row_heading level0 row2\" >2770</th>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow2_col0\" class=\"data row2 col0\" >2771</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow2_col1\" class=\"data row2 col1\" >Avengers: Age of Ultron</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow2_col2\" class=\"data row2 col2\" >280000000</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow2_col3\" class=\"data row2 col3\" >1405403694</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aelevel0_row3\" class=\"row_heading level0 row3\" >1425</th>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow3_col0\" class=\"data row3 col0\" >1426</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow3_col1\" class=\"data row3 col1\" >Superman Returns</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow3_col2\" class=\"data row3 col2\" >270000000</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow3_col3\" class=\"data row3 col3\" >391081192</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aelevel0_row4\" class=\"row_heading level0 row4\" >1270</th>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow4_col0\" class=\"data row4 col0\" >1271</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow4_col1\" class=\"data row4 col1\" >John Carter</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow4_col2\" class=\"data row4 col2\" >260000000</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow4_col3\" class=\"data row4 col3\" >284139100</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aelevel0_row5\" class=\"row_heading level0 row5\" >1630</th>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow5_col0\" class=\"data row5 col0\" >1631</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow5_col1\" class=\"data row5 col1\" >Transformers: The Last Knight</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow5_col2\" class=\"data row5 col2\" >260000000</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow5_col3\" class=\"data row5 col3\" >604942143</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aelevel0_row6\" class=\"row_heading level0 row6\" >2532</th>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow6_col0\" class=\"data row6 col0\" >2533</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow6_col1\" class=\"data row6 col1\" >The Hobbit: An Unexpected Journey</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow6_col2\" class=\"data row6 col2\" >250000000</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow6_col3\" class=\"data row6 col3\" >1021103568</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aelevel0_row7\" class=\"row_heading level0 row7\" >961</th>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow7_col0\" class=\"data row7 col0\" >962</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow7_col1\" class=\"data row7 col1\" >Harry Potter and the Half-Blood Prince</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow7_col2\" class=\"data row7 col2\" >250000000</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow7_col3\" class=\"data row7 col3\" >933959197</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aelevel0_row8\" class=\"row_heading level0 row8\" >906</th>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow8_col0\" class=\"data row8 col0\" >907</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow8_col1\" class=\"data row8 col1\" >The Dark Knight Rises</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow8_col2\" class=\"data row8 col2\" >250000000</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow8_col3\" class=\"data row8 col3\" >1084939099</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aelevel0_row9\" class=\"row_heading level0 row9\" >666</th>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow9_col0\" class=\"data row9 col0\" >667</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow9_col1\" class=\"data row9 col1\" >The Hobbit: The Desolation of Smaug</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow9_col2\" class=\"data row9 col2\" >250000000</td>\n",
       "                        <td id=\"T_81598ea8_e224_11ea_86b8_2cf0ee25c1aerow9_col3\" class=\"data row9 col3\" >958400000</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fcc8cbc3640>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[['id','title','budget', 'revenue']].sort_values(['budget'], ascending=False).head(10).style.background_gradient(subset=['budget', 'revenue'], cmap='PuBu')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pirates of the Caribbean: On Stranger Tides is most expensive movie."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Which movie is Longest?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:40.600082Z",
     "start_time": "2020-08-19T14:01:40.551442Z"
    }
   },
   "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>budget</th>\n",
       "      <th>imdb_id</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>popularity</th>\n",
       "      <th>poster_path</th>\n",
       "      <th>release_date</th>\n",
       "      <th>runtime</th>\n",
       "      <th>status</th>\n",
       "      <th>title</th>\n",
       "      <th>revenue</th>\n",
       "      <th>release_day</th>\n",
       "      <th>release_weekday</th>\n",
       "      <th>release_month</th>\n",
       "      <th>release_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1211</th>\n",
       "      <td>1212</td>\n",
       "      <td>18000000</td>\n",
       "      <td>tt1321865</td>\n",
       "      <td>en</td>\n",
       "      <td>Carlos</td>\n",
       "      <td>4.558075</td>\n",
       "      <td>/obHJeOHn8J5XD049nj7KVSpAMEW.jpg</td>\n",
       "      <td>2010-05-19</td>\n",
       "      <td>338.0</td>\n",
       "      <td>Released</td>\n",
       "      <td>Carlos</td>\n",
       "      <td>871279</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        id    budget    imdb_id original_language original_title  popularity  \\\n",
       "1211  1212  18000000  tt1321865                en         Carlos    4.558075   \n",
       "\n",
       "                           poster_path release_date  runtime    status  \\\n",
       "1211  /obHJeOHn8J5XD049nj7KVSpAMEW.jpg   2010-05-19    338.0  Released   \n",
       "\n",
       "       title  revenue  release_day  release_weekday  release_month  \\\n",
       "1211  Carlos   871279           19                2              5   \n",
       "\n",
       "      release_year  \n",
       "1211          2010  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[train['runtime'] == train['runtime'].max()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:43.423235Z",
     "start_time": "2020-08-19T14:01:40.615756Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of Movies')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(train['runtime'].fillna(0) / 60, bins=40);\n",
    "plt.title('Distribution of length of film in hours', fontsize=16, color='white');\n",
    "plt.xlabel('Duration of Movie in Hours')\n",
    "plt.ylabel('Number of Movies')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:43.530254Z",
     "start_time": "2020-08-19T14:01:43.450615Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "                <tr>\n",
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       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aelevel0_row1\" class=\"row_heading level0 row1\" >1922</th>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow1_col0\" class=\"data row1 col0\" >1923</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow1_col1\" class=\"data row1 col1\" >Cleopatra</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow1_col2\" class=\"data row1 col2\" >248.000000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow1_col3\" class=\"data row1 col3\" >31115000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow1_col4\" class=\"data row1 col4\" >71000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aelevel0_row2\" class=\"row_heading level0 row2\" >523</th>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow2_col0\" class=\"data row2 col0\" >524</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow2_col1\" class=\"data row2 col1\" >The Ten Commandments</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow2_col2\" class=\"data row2 col2\" >220.000000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow2_col3\" class=\"data row2 col3\" >13000000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow2_col4\" class=\"data row2 col4\" >122700000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aelevel0_row3\" class=\"row_heading level0 row3\" >1302</th>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow3_col0\" class=\"data row3 col0\" >1303</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow3_col1\" class=\"data row3 col1\" >Heaven's Gate</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow3_col2\" class=\"data row3 col2\" >219.000000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow3_col3\" class=\"data row3 col3\" >44000000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow3_col4\" class=\"data row3 col4\" >3484331</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aelevel0_row4\" class=\"row_heading level0 row4\" >1914</th>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow4_col0\" class=\"data row4 col0\" >1915</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow4_col1\" class=\"data row4 col1\" >Gods and Generals</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow4_col2\" class=\"data row4 col2\" >214.000000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow4_col3\" class=\"data row4 col3\" >56000000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow4_col4\" class=\"data row4 col4\" >12923936</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aelevel0_row5\" class=\"row_heading level0 row5\" >2353</th>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow5_col0\" class=\"data row5 col0\" >2354</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow5_col1\" class=\"data row5 col1\" >Jodhaa Akbar</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow5_col2\" class=\"data row5 col2\" >213.000000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow5_col3\" class=\"data row5 col3\" >8376800</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow5_col4\" class=\"data row5 col4\" >13000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aelevel0_row6\" class=\"row_heading level0 row6\" >625</th>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow6_col0\" class=\"data row6 col0\" >626</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow6_col1\" class=\"data row6 col1\" >Ben-Hur</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow6_col2\" class=\"data row6 col2\" >212.000000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow6_col3\" class=\"data row6 col3\" >15000000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow6_col4\" class=\"data row6 col4\" >146900000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aelevel0_row7\" class=\"row_heading level0 row7\" >1975</th>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow7_col0\" class=\"data row7 col0\" >1976</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow7_col1\" class=\"data row7 col1\" >Chapiteau-Show</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow7_col2\" class=\"data row7 col2\" >207.000000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow7_col3\" class=\"data row7 col3\" >2000000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow7_col4\" class=\"data row7 col4\" >393816</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aelevel0_row8\" class=\"row_heading level0 row8\" >1731</th>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow8_col0\" class=\"data row8 col0\" >1732</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow8_col1\" class=\"data row8 col1\" >Hey Ram</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow8_col2\" class=\"data row8 col2\" >199.000000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow8_col3\" class=\"data row8 col3\" >3900000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow8_col4\" class=\"data row8 col4\" >4900000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aelevel0_row9\" class=\"row_heading level0 row9\" >2120</th>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow9_col0\" class=\"data row9 col0\" >2121</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow9_col1\" class=\"data row9 col1\" >Spartacus</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow9_col2\" class=\"data row9 col2\" >197.000000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow9_col3\" class=\"data row9 col3\" >12000000</td>\n",
       "                        <td id=\"T_83250e88_e224_11ea_86b8_2cf0ee25c1aerow9_col4\" class=\"data row9 col4\" >60000000</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fcc8cf44a00>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[['id','title','runtime', 'budget', 'revenue']].sort_values(['runtime'],ascending=False).head(10).style.background_gradient(subset=['runtime','budget','revenue'], cmap='YlGn')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Carlos is the longest movie, with 338 minutes (5 hours and 38 minutes) of runtime. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-18T05:39:06.744725Z",
     "start_time": "2020-08-18T05:39:06.741119Z"
    }
   },
   "source": [
    "## 4. In which year most movies were released?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:49.781174Z",
     "start_time": "2020-08-19T14:01:43.593408Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,12))\n",
    "edgecolor=(0,0,0),\n",
    "sns.countplot(train['release_year'].sort_values(), palette = \"Dark2\", edgecolor=(0,0,0))\n",
    "plt.title(\"Movie Release count by Year\",fontsize=20)\n",
    "plt.xlabel('Release Year')\n",
    "plt.ylabel('Number of Movies Release')\n",
    "plt.xticks(fontsize=12,rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:49.840154Z",
     "start_time": "2020-08-19T14:01:49.794899Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2013    141\n",
       "2015    128\n",
       "2010    126\n",
       "2016    125\n",
       "2012    125\n",
       "Name: release_year, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['release_year'].value_counts().head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### In 2013 total 141 movies were released."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-18T05:39:33.755412Z",
     "start_time": "2020-08-18T05:39:33.752267Z"
    }
   },
   "source": [
    "## 5. Movies with Highest and Lowest ratings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:49.918583Z",
     "start_time": "2020-08-19T14:01:49.873043Z"
    }
   },
   "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>original_title</th>\n",
       "      <th>popularity</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>518</th>\n",
       "      <td>Wonder Woman</td>\n",
       "      <td>294.337037</td>\n",
       "      <td>2017-05-30</td>\n",
       "      <td>820580447</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    original_title  popularity release_date    revenue\n",
       "518   Wonder Woman  294.337037   2017-05-30  820580447"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[train['popularity']==train['popularity'].max()][['original_title','popularity','release_date','revenue']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:49.978143Z",
     "start_time": "2020-08-19T14:01:49.940042Z"
    }
   },
   "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>original_title</th>\n",
       "      <th>popularity</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2556</th>\n",
       "      <td>Big Time</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>1988-09-15</td>\n",
       "      <td>148426</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     original_title  popularity release_date  revenue\n",
       "2556       Big Time    0.000001   1988-09-15   148426"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[train['popularity']==train['popularity'].min()][['original_title','popularity','release_date','revenue']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets create popularity distribution plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:51.483098Z",
     "start_time": "2020-08-19T14:01:49.989271Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,12))\n",
    "edgecolor=(0,0,0),\n",
    "sns.distplot(train['popularity'], kde=False)\n",
    "plt.title(\"Movie Popularity Count\",fontsize=20)\n",
    "plt.xlabel('Popularity')\n",
    "plt.ylabel('Count')\n",
    "plt.xticks(fontsize=12,rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Wonder Woman movie have highest popularity of 294.33 whereas Big Time movie have lowest popularity which is 0."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. In which month most movies are released from 1921 to 2017?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:52.785536Z",
     "start_time": "2020-08-19T14:01:51.493566Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,12))\n",
    "edgecolor=(0,0,0),\n",
    "sns.countplot(train['release_month'].sort_values(), palette = \"Dark2\", edgecolor=(0,0,0))\n",
    "plt.title(\"Movie Release count by Month\",fontsize=20)\n",
    "plt.xlabel('Release Month')\n",
    "plt.ylabel('Number of Movies Release')\n",
    "plt.xticks(fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:52.849806Z",
     "start_time": "2020-08-19T14:01:52.830634Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9     362\n",
       "10    307\n",
       "12    263\n",
       "8     256\n",
       "4     245\n",
       "3     238\n",
       "6     237\n",
       "2     226\n",
       "5     224\n",
       "11    221\n",
       "1     212\n",
       "7     209\n",
       "Name: release_month, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['release_month'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### In september month most movies are relesed which is around 362."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7. On which date of month most movies are released?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:54.497549Z",
     "start_time": "2020-08-19T14:01:52.872303Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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iCYA6ZfDgwXHLLbfED37wgzjttNPijTfeiH/+859V7t+sWbOIiJg9e3al29evb968efm6WbNmxahRo+Kwww6Lb3/72/Huu+/GNttsE717946JEyfGW2+9VWPO9Re+vvjii6vdb8stt6zxvtZ78cUX4+CDD46If78JO+644+LPf/5zPPHEE9G9e/eYO3du+bbCwsLYdtttNyqevoj1j6Fr167V3s+Gj6FTp04xbty42GqrreLll1+O5557LhYvXhxlZWXRsWPH+NnPfhYNGjQo33/GjBnRo0ePuPLKK6N3797lFz6eMWNGXH/99XHLLbds0scU8X9/61mzZtW475c5fr6KRYsWbbRufXlRVFS0ScZYb/3x8nlz5syJjh07ViiSXnzxxZgyZUr8+Mc/jp///OexbNmyOPPMMyMi4s4779ykuSL+/Y1nERGfffZZ+bq99947Ro8eHcXFxTFq1Kh4/PHHY8mSJbFu3brYfffdo2/fvhWOrU2VO9fHwIYGDx4c5513XvTv3z86deoUq1ativvuu69WslZ27EX8+/j7ssdeLo9nAOoO39oGQJ1y//33x4oVK+KOO+6Itm3bxl133VXt/uvfCG/47U8bWv/taev3W2/YsGER8X9nIZ1yyilRr1698vU1WX9/TZs2jYKCgiqXL/v14AsXLoy77747LrroomjXrl2FM6fWjz1hwoRqx67sG9cqewwjR46s9j46d+5cfpuLLrooWrRoEf3794+DDz44zj///LjiiiviN7/5TTz77LOVjvPuu+/GSSedFFtvvXV897vfjUsuuSQKCwvj5ptvjtNPP32TPqaI/3tz+/mzV6p7Dr7I8bNu3bqI+Pc3Cn5ebZQNX1bLli0rXb/+sX7+38Qdd9wRTZo0iVNOOSW22GKL+MlPfhIff/xx/P3vf9/k2dYXpq+//nr5ussvvzwaNWoUhx12WBxxxBFx4YUXxqBBg+I3v/lNhf0+76vm/rJzyKbw9ttvx2uvvRb9+/ePY445JkaOHBkLFiyok1kBYD1FEgB1yuLFi+ORRx6Jdu3axbJly+K///u/q91/4sSJERFx0EEHVbp9/RvWz3+8bOTIkbF48eL4yU9+EgUFBdGvX79Yu3ZtPPjgg5ly/uMf/4iIiAMOOCDT/l/WHXfcEW+//XYce+yxsd9++0VExPLly+Ptt9+OXXbZ5St9fOTdd9+NhQsXxj777FNpKVKZHXbYISIiHn300Y229ezZs9rblpWVxYQJE+K6666LH//4xxER0bdv34jYdI8p4t8fkSwrK4sDDzxwo4/dfd764+d73/tepWdQVHb8rP9IUbt27Tbaf6+99vrSuT+vrKzsK53VUdnfo1OnTtGuXbsoKSmptFxdvnx5nHnmmfGjH/0ottpqqxgyZEh5cbapHHzwwfG9730vVqxYEX/961/L1++www4xf/78Sj+SV92x9VVzf5ljYFMaPHhwbLvtttGgQYNqP8YbEfHee+/F8uXLo1u3buVnJ9VG1rKysohwVhEAlVMkAVDnXH755dG3b984/PDDY9myZdXu++qrr8a7774bBxxwQPnHptY77rjj4sADD4z33nsvXnnllQrbVq1aFcOHD4+2bdvGhRdeGLvvvns89dRTFT5qU50///nPsWbNmrjxxhujS5cuG22vV69efO9738t0X9VZt25dDBo0KCIi/t//+3/l62+44YZo0KBB3HPPPZW+oWzevHml10nZUFlZWdxyyy3RunXruPnmm2OLLbbYaJ9WrVpVuC7R9OnTI2Lj4u6www6LM844Y6Pb77nnntG0adON1q8/W2bDaxhtiscUETFv3rx46KGHonXr1nH99ddvdBZT48aNyzPNmjUrnnvuuejUqdNG12bq0aNHnHzyybFgwYIKhce4ceMiIuK0006r8Ea7bdu2ccUVV9SYL6v58+fHNttsU+nfJYvzzz8/2rdvX/57QUFB/OEPf4iioqIYOnToRvsvWbIkHnzwwdhzzz3j6quvjtLS0hqLjS/qmGOOiREjRkRExKBBgyp8/G769Omx9dZbx2677VbhNqeffnr07t27yvv8qrm/zDGwKT300EPRt2/fOProo+PFF1+sdt+1a9fGAw88EE2bNo2rrrqqwrbOnTvHeeedF2vWrPnK13KaP39+RESF4wcA1nONJADqnJkzZ5ZfsDWLfv36xfPPPx8PP/xwPPbYY/Huu+/GjjvuGH379o0lS5bEqaeeutFFfSP+fSbDgAED4ne/+13571m99957cfrpp8c999wT77zzTjzzzDPx/vvvR7169aJ9+/ZxwAEHxGeffZbp4tA1GTlyZEycODEOOuigOOyww+K5556LoUOHxne/+90YOHBgfPjhh/Hss8/GjBkz4lvf+lZ06tQpDjzwwBg6dGicffbZ1d73VVddFd26dYuzzz47jjrqqBg9enTMmjUrtt122+jSpUvsv//+8atf/SqmTp0aEf++uPFpp50WI0aMiEceeSQ++eST2HXXXaN3794xfPjwOOmkkyrc/09/+tM466yz4pVXXokPP/wwFi5cGNtvv30cddRRsWrVqvjTn/5Uvu+mekwREeecc07suuuucfbZZ8dBBx0Uzz77bKxZsyY6deoUhx9+eBx99NHlZ778x3/8R7z66qtx/fXXx2GHHRZvvPFGtGvXLk444YRYt25dnHbaaRUKzXHjxsVLL70UPXv2jHHjxsXo0aOjZcuWcdRRR8Wzzz67yd58jxo1Knr06BHPPPNMjB07NlavXh2TJk3K/JGtV199Nf75z3/Gww8/HIsXL47DDz88dt9993jjjTfiuuuuq/Q2t912WwwYMCDatm0bjz/+eKbrTFVmw6KxYcOG0bp169h///2jc+fOsWrVqrj44ovj+uuvr3CbP/3pT9G7d+945ZVXYvjw4bF48eLYa6+94nvf+16MGDEiTjjhhCrH+6q5v+gxsCmtXLkyHnvsscz7X3rppXHAAQfEueeeG927d48xY8ZEixYt4sQTT4wmTZrEOeecU174flljxoyJsrKy+N3vfhe77rpr+Vl4G5bZAGze8v7VcRaLxWLZfJeUUpo5c2amfa+66qqUUkr9+vXbaFvXrl3Tfffdlz755JO0Zs2a9Mknn6T7778/de3atdr7fP/991NKKc2bNy/Vq1ev0n3Wf9V1ZV8lvuuuu6ahQ4em6dOnp1WrVqX58+ent956K91xxx3p4IMPzvS41n89d3VfJf7DH/4wpZTSuHHjKqw/8sgj0xNPPJHmzp2bVq9enWbPnp1ef/31dNVVV6Udd9xxo+e6qjF+8pOfpBdeeCHNnz8/rV69On388cfp5ZdfTpdddllq27ZthX333XffNGrUqLRgwYK0ZMmS9PLLL6c+ffqUP44Nv/q9R48e6bbbbkv//Oc/0/z589OKFSvStGnT0j333JN22WWXSrN8kcdU3dKoUaP0y1/+Mk2aNCktX748LVmyJL3zzjvpxhtvTNtss02FfVu3bp1uu+22NH369LR69er02Wefpb/+9a9pr732qvS+mzVrlu666640d+7ctGrVqvTWW2+lAQMGpA4dOmz0le01HUOVPW/r8992221p5syZae3atZXeb3XHa6dOndJFF12Upk6dmlauXJk+/vjjdOONN6YmTZpUe/sJEyaklFI64ogjvvC/5/VfG79eWVlZWrJkSZo+fXp68skn08UXX5xat25d5e2PPPLI9Nprr6UlS5akhQsXpmeffTYdcMABqV+/flX+298Uub/MMVDTv9nKljFjxqSUUtp+++1r3LdXr15V/s2bNWuWrr322vT++++nVatWpYULF6bnnnsuff/73898fK1fSkpKUklJyUbrTznllDRx4sS0YsWK8r/nVzmeLRaLxfLNWQr+9wcAADZzW265ZXzyySexYMGC6NSpU6Vn8tVFX9fcAPB15BpJAABERMTZZ58dTZo0idtuu+1rVcZ8XXMDwNeRM5IAADZjTZs2jbPPPjvatGkTAwYMiAULFsSOO+5Ya9cE2lS+rrkB4OtOkQQAsBnr0KFDTJ8+PVatWhVvvvlmnHvuuTFx4sR8x6rR1zU3AHzdKZIAAAAAyKQ43wG+ik8//TQ++uijfMcAAAAA+Mbo0KFDbLvttpVu+1oXSR999FF079493zEAAAAAvjHGjx9f5Tbf2gYAAABAJookAAAAADJRJAEAAACQiSIJAAAAgEwUSQAAAABkokgCAAAAIBNFEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAgAAACATRRIAAAAAmSiSAAAAAMhEkQQAAABAJookAAAAADJRJAEAAACQiSIJAAAAgEwUSQAAAABkokgCAAAAIJNvVJFUUFy0WYwJAAAAkA/F+Q6wKaXSstjlhgtyOuY7F/0pp+MBAAAA5Ms36owkAAAAAGqPIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAgAAACATRRIAAAAAmSiSAAAAAMhEkQQAAABAJookAAAAADJRJAEAAACQiSIJAAAAgEwUSQAAAABkokgCAAAAIBNFEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAgAAACATRRIAAAAAmSiSAAAAAMhEkQQAAABAJookAAAAADJRJAEAAACQiSIJAAAAgEwUSQAAAABkUmtF0pAhQ2Lu3Lnx1ltvbbTtoosuipRSbL311uXrbrrpppg2bVpMmjQp9thjj9qKBQAAAMCXVGtF0r333hu9e/feaH3btm3jsMMOi48++qh83Q9+8IPo0qVLdOnSJc4888y4/fbbaysWAAAAAF9SrRVJL7/8cixYsGCj9TfeeGNcfPHFkVIqX9enT5+47777IiLi9ddfj+bNm0erVq1qKxoAAAAAX0JOr5F09NFHx6xZs2Ly5MkV1rdp0yZmzpxZ/vvHH38cbdq0yWU0AAAAAGpQnKuBGjZsGL/85S/jsMMO+0r3M2DAgDjzzDMjIqJFixabIhoAAAAAGeTsjKTtt98+OnXqFJMmTYqSkpJo27ZtTJgwIVq2bBmzZs2Kdu3ale/btm3bmDVrVqX3M3jw4OjevXt079495s2bl6v4AAAAAJu9nBVJb7/9drRs2TI6deoUnTp1io8//jj23HPPmDt3bjz++ONx6qmnRkTE3nvvHYsXL445c+bkKhoAAAAAGdRakfTggw/Ga6+9FjvuuGPMnDkzTj/99Cr3feqpp+Jf//pXfPDBBzF48OD4z//8z9qKBQAAAMCXVGvXSDr55JOr3d6pU6cKv59zzjm1FQUAAACATSCn39oGAAAAwNeXIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAgAAACATRRIAAAAAmSiSAAAAAMhEkQQAAABAJookAAAAADJRJAEAAACQiSIJAAAAgEwUSQAAAABkokgCAAAAIBNFEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAgAAACATRRIAAAAAmSiSAAAAAMhEkQQAAABAJookAAAAADJRJAEAAACQiSIJAAAAgEwUSQAAAABkokgCAAAAIBNFEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAFCnFRcVbBZjAgB8HRTnOwAAQHVKy1LceuF3cjrmwBsn53Q8AICvC2ckAQAAAJCJIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAgAAACATRRIAAAAAmSiSAAAAAMhEkQTAZqd+QfFmMSYAAGxqXtUCsNlZk0pj4sHX5XTMPcZcnNPxAACgNjgjCQAAAIBMFEkAAAAAZKJIAgAAACCTWiuShgwZEnPnzo233nqrfN11110XU6dOjUmTJsXIkSOjWbNm5dsuvfTSmDZtWrz77rtx2GGH1VYsAAAAAL6kWiuS7r333ujdu3eFdc8//3zsuuuu0a1bt3j//ffjsssui4iInXbaKU466aTYZZddonfv3nHbbbdFYaGTpQAAAADqklpra15++eVYsGBBhXXPP/98lJWVRUTEP/7xj2jbtm1ERPTp0yceeuihWLNmTUyfPj0++OCD6NGjR21FAwAAAOBLyNtpP6effno8/fTTERHRpk2bmDlzZvm2jz/+ONq0aVPp7QYMGBDjx4+P8ePHR4sWLXKSFQAAAIA8FUm//OUvo7S0NB544IEvfNvBgwdH9+7do3v37jFv3rxaSAcAAABAZYpzPWC/fv3ihz/8YfTq1at83axZs6Jdu3blv7dt2zZmzZqV62gAAAAAVCOnZyQdfvjhcfHFF8fRRx8dK1euLF//+OOPx0knnRT169ePjh07RpcuXWLcuHG5jAYAAABADWrtjKQHH3wwDjrooGjRokXMnDkzBg0aFJdddlk0aNAgnn/++Yj49wW3zz777JgyZUoMHz48pkyZEqWlpTFw4MBYt25dbUUDAAAA4EuotSLp5JNP3mjdPffcU+X+11xzTVxzzTW1FQcAAACAryhv39oGAAAAwNeLIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAgAAACATRRIAAAAAmSiSAAAAAMhEkQQAAABAJookAAAAADJRJAEAAACQiSIJAAAAgEwUSQAAAABkokgCAAAAIBNFEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAjIpLirYLMYEAACgasX5DgB8PZSWpbj1wu/kdMyBN07O6XgAAABUzxlJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAgAAACATRRLUUfWLN48xAQAA+PrwthHqqDWlEeOGtM/pmD36z8jpeAAAAHy9OCMJAAAAgEwUSQAAAABkokgCAAAAIBNFEgDkWVFxwWYx5jdFUVFRnRqzoDj3efIxJlD3mH9g8+Ri2wCQZ2WlKQbc2i2nYw4eOCmn432TlJWVxZlnnpnTMe+6664qt6XSstjlhgtyFyYi3rnoTzkdD6ibzD+weXJGEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAJtAQXFRnRqzXh5m93yMSe2oX7x5jAkAwBfnZRvAJpBKy2KXGy7I6ZjvXPSnKretXRcxun+73IWJiEOGzMzpeNSeNaUR44a0z+mYPfrPyOl4AAB8Of77MQAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAABAnVC/ePMYE+DrzLQJAADUCWtKI8YNaZ/TMXv0n5HT8QC+7pyRBAAAAEAmiiQAAAAAMlEkAV9LRUVFm8WYAAAAdUmtXSNpyJAh8cMf/jA+/fTT2G233SIiYquttoqHH344OnbsGNOnT48TTzwxFi1aFBERN910UxxxxBGxYsWK+NnPfhYTJ06srWjAN0BZWVmceeaZOR3zrrvuyul4AAAAdU2tnZF07733Ru/evSusu/TSS2PUqFHRtWvXGDVqVFx66aUREfGDH/wgunTpEl26dIkzzzwzbr/99tqKBQAAAMCXVGtF0ssvvxwLFiyosK5Pnz4xbNiwiIgYNmxY9O3bt3z9fffdFxERr7/+ejRv3jxatWpVW9EAAAAA+BJyeo2kli1bxpw5cyIiYs6cOdGyZcuIiGjTpk3MnDmzfL+PP/442rRpU+l9DBgwIMaPHx/jx4+PFi1a1H5oAAAAACIizxfbTil94dsMHjw4unfvHt27d4958+bVQioAAAAAKpPTImnu3LnlH1lr1apVfPrppxERMWvWrGjXrl35fm3bto1Zs2blMhoAAAAANchpkfT4449Hv379IiKiX79+8dhjj5WvP/XUUyMiYu+9947FixeXfwQOAAAAgLqhuLbu+MEHH4yDDjooWrRoETNnzoxBgwbFtddeG8OHD4/+/fvHRx99FCeeeGJERDz11FNxxBFHxAcffBArVqyI0047rbZiAQAA/6uouCDKSr/45Sa+bmMCsOnUWpF08sknV7r+0EMPrXT9OeecU1tRAACASpSVphhwa7ecjjl44KScjgfAppXXi20DAAAA8PWhSAIAAAAgE0USAACbTL08vLrMx5gAsLmqtWskAQCw+Vm7LmJ0/3Y5HfOQITNzOh4AbM789xsAAAAAMlEkAQAAAJCJIgkAAOBroKioaLMYE6jbXCMJAADga6CsrCzOPPPMnI5511135XQ8oO5zRhIAAAAAmSiSAAAAAMhEkQT/q6i4YLMYEwAAAL4s10iC/1VWmmLArd1yOubggZNyOh4AAAB8FZnOSNpiiy2ia9eutZ0FAAAAgDqsxiLphz/8Yfzzn/+MZ555JiIiunXrFo899litBwMAAACgbqmxSLryyiujR48esWjRooiImDRpUnTq1Km2cwEAAABQx9RYJK1duzaWLFlSYV1KqdYCAQAAAFA31VgkvfPOO/HjH/84ioqKYocddoibb745/ud//icX2QAAAACoQ2osks4999zYZZddYvXq1fHf//3fsWTJkrjgggtyEA0AAACAuqS4ph1WrlwZl19+eVx++eVRWFgYjRs3jtWrV+ciGwAAAAB1SI1nJD3wwAPRpEmTaNSoUbz11lsxZcqU+MUvfpGLbF979Wp8dr8ZYwIA1FVFRfU2izEBIFdqPCNp5513jqVLl8bJJ58cTz/9dFx66aXx5ptvxvXXX5+LfF9ra9dFjO7fLqdjHjJkZk7HAwCoy8rK1sbll47I6ZhXX3tCTscDgFyq8fyVevXqRXFxcfTt2zcef/zxKC0t9a1tAAAAAJuhGoukO++8M6ZPnx6NGzeOsWPHRvv27WPJkiW5yAYAAABAHVJjkXTLLbdE27Zt48gjj4yIiBkzZsTBBx9c68EA+OZwjRIAAPhmqPEaSRERRxxxROyyyy6xxRZblK+76qqrai0UAN8srlECAADfDDWekXT77bfHj370ozj33HOjoKAgTjjhhOjQoUMusgEAAABQh9RYJO23337Rr1+/WLhwYfz2t7+NfffdN7p27ZqLbAAAAADUITUWSStXroyIiBUrVsR2220Xa9euje22267WgwEAAABQt9R4jaS///3v0axZs/jDH/4QEyZMiJRS3H333bnIBgAAAEAdUmORdPXVV0dExMiRI+Pvf/97bLHFFrFkyZJaDwYAAABA3VLjR9saNmwYl19+edx1112xZs2a2HbbbePII4/MRTYAAAAA6pAai6ShQ4fG6tWrY999942IiFmzZpWfpQQAAADA5qPGImn77bePP/zhD7F27dqI+PfFtwsKCmo9GAAAAAB1S41F0po1a2KLLbaIlFJERHTu3DlWr15d68EAAAAAqFtqvNj2oEGD4plnnol27drFX/7yl9h///3jZz/7WQ6iAQAAAFCX1FgkvfDCCzFhwoTYZ599oqCgIM4///yYP39+LrIBAAAAUIdUWSTtscceFX6fPXt2RES0b98+2rdvHxMnTqzdZAAAAADUKVUWSX/84x+rvFFKKXr16lUrgQAAAACom6oskg455JBc5gAAAACgjqvxW9saNmwYv/rVr+LOO++MiIgddtghjjzyyFoPBgAAAEDdUmORNHTo0FizZk3st99+ERExa9asuPrqq2s9GAAAAAB1S41F0vbbbx9/+MMfYu3atRERsXLlyigoKKj1YAAAAADULTUWSWvWrIktttgiUkoREdG5c+dYvXp1rQcDAAAAoG6p8mLb6w0aNCieeeaZaNeuXfzlL3+J/fffP372s5/lIBrfdPULimNNKv3GjwkAAADfFDUWSS+88EJMmDAh9tlnnygoKIjzzz8/GjVqlItsfMOtSaUx8eDrcjrmHmMuzul4AAAA8E1S7Ufb9tlnnzjuuOOiqKgonnrqqZgxY0bcfPPN8eqrr+YqHwAAAAB1RJVF0nXXXRf33HNPHHfccfHkk0/GVVddFc8991y8/vrr0aVLl1xmBAAAAKAOqPKjbUceeWTssccesXr16mjevHnMnDkzdt111/joo49ymQ8AAL4xXCMSgK+7KoukVatWlX8726JFi2LatGlKJAAA+ApcIxKAr7sqi6TOnTvHY489Vv57p06dKvzep0+f2k0GAAAAQJ1SZZH0+aLoj3/8Y62HAQAAAKDuqrJIGjt2bC5zAAAAAFDHVfmtbQAAAACwIUUSAAAAAJl8oSKpoKAgmjRpUltZAAAAAKjDaiySHnjggWjSpEk0atQo3n777ZgyZUr84he/yEU2AACAvCkuKtgsxgT4Iqq82PZ6O++8cyxdujROPvnkePrpp+PSSy+NN998M66//vpc5AMAAMiL0rIUt174nZyOOfDGyTkdD+CLqvGMpHr16kVxcXH07ds3Hn/88SgtLY2UUi6yAQAAAFCH1Fgk3XnnnTF9+vRo3LhxjB07Ntq3bx9LlizJRTYAAAAA6pAai6Rbbrkl2rZtG0ceeWRERMyYMSMOPvjgWg8GAAAAQN1SY5G07bbbxt133x1PPfVURETstNNO0a9fv1oPBgAAAEDdUmORdO+998azzz4brVu3joiI999/Py644ILazgUAAABAHVNjkdSiRYsYMWJErFu3LiIiysrKoqysrNaDAQAAAFC31FgkLV++PL71rW+Vf1Pb3nvvHYsXL671YAAAAADULcU17XDRRRfF448/Httvv3288sorsc0228Txxx+fi2wAAAAA1CE1FkkTJ06Mnj17xo477hgFBQXx3nvvRWlpaS6yAQAAAFCHVFkkHXzwwTFmzJg45phjKqzv2rVrRET89a9/rd1kAAAAANQpVRZJPXv2jDFjxsRRRx210baUkiIJAAAAYDNTZZF05ZVXRkTEGWecUf6NbQAAAFAX1SuMWJvjt675GBPyrcZrJJWUlMQzzzwTDz/8cIwePToXmQAAAOALWbsuYnT/djkd85AhM3M6HtQFhTXt8O1vfzteeOGFGDhwYJSUlMQtt9wS+++/fy6yAQAAAFCH1FgkrVy5MkaMGBHHHXdc7LHHHtG0adN46aWXcpENAAAAgDqkxiIpIuLAAw+MW2+9Nd58883YYost4sQTT6ztXAAAAADUMZmukTRx4sQYPnx4/Nd//VesWLHiKw96wQUXxBlnnBEppXjrrbfitNNOi+222y4eeuih2HrrrePNN9+Mn/70p7F27dqvPBYAAAAAm0aNZyR95zvfiWOPPTYeeuihTVIitW7dOs4777zYa6+9YrfddouioqI46aST4ve//33ceOON0aVLl1i4cGH079//K48FAAAAwKZTY5HUtGnTGDlyZMydOzfmzp0bjzzySLRp0+YrDVpcXBwNGzaMoqKiaNSoUcyePTsOOeSQeOSRRyIiYtiwYdG3b9+vNAYAAAAAm1aNRdLQoUPj8ccfj9atW0fr1q3jiSeeiKFDh37pAT/55JO4/vrrY8aMGTF79uxYvHhxvPnmm7Fo0aIoKyuLiIiPP/64yrJqwIABMX78+Bg/fny0aNHiS+fYHBUV1dssxgQAAABqR43XSNpmm23i3nvvLf992LBhccEFF3zpAZs3bx59+vSJTp06xaJFi2LEiBHRu3fvzLcfPHhwDB48OCIixo8f/6VzbI7KytbG5ZeOyOmYV197Qk7HAwAAAGpPjWckzZ8/P0455ZQoLCyMwsLCOOWUU2L+/PlfesBDDz00SkpKYt68eVFaWhojR46M/fffP5o3bx5FRUUREdG2bduYNWvWlx4DAAAAgE2vxiLp9NNPjxNPPDHmzJkTs2fPjuOPPz5OO+20Lz3gjBkzYp999omGDRtGRESvXr1iypQpMWbMmDj++OMjIqJfv37x2GOPfekxAAAAANj0avxo24wZM6JPnz6bbMBx48bFI488EhMmTIjS0tKYOHFi3HXXXfHkk0/GQw89FFdffXVMnDgxhgwZssnGBAAAAOCrq7JIuummm6q94fnnn/+lB73yyivjyiuvrLCupKQk9t577y99nwAAAADUriqLpP/4j/+It99+O4YPHx6ffPJJFBQU5DIXAAAAAHVMlUXSdtttFyeccEL86Ec/itLS0nj44YfjkUceicWLF+cyHwAAAAB1RJUX216wYEHceeedccghh8Rpp50WzZs3jylTpsRPfvKTXOYDAAAAoI6o8WLbe+yxR/z4xz+O73//+/H000/Hm2++mYtcAAAAANQxVRZJv/nNb+LII4+MqVOnxkMPPRSXXXZZlJWV5TIbAAAAAHVIlUXS5ZdfHiUlJdGtW7fo1q1bXHPNNRERUVBQECml6NatW85CAgAAAJB/VRZJnTp1ymUOAAAAAOq4KoukGTNm5DIHAAAAAHVcld/aBgAAAAAbUiQBAAAAkEmVRdILL7wQERHXXnttzsIAAAAAUHdVeY2k7bbbLvbdd984+uij46GHHoqCgoIK2ydOnFjr4QAAAACoO6oskq644or49a9/HW3bto0bbrihwraUUvTq1avWwwEAAABQd1RZJD366KPx6KOPxuWXXx5XX311LjMBAAAAUAdVWSStd/XVV8dRRx0VBx54YEREvPjii/Hkk0/WejAAAACAXKhfHLGm9Js/5qZQY5F0zTXXRI8ePeKBBx6IiIjzzz8/9ttvv/jVr35V6+EAAAAAatua0ohxQ9rndMwe/WfkdLxNpcYi6cgjj4zdd989UkoRETFs2LCYOHGiIgkAAABgM1OYZafmzZuX/9ysWbPaygIAAABAHVbjGUm/+93vYuLEiTFmzJgoKCiIAw88MC699NJcZAMAAICvpaKielFWtrbOjFm/oDjWpNxekCcfY1L7aiySHnrooXjxxReje/fuERFxySWXxNy5c2s9GAAAAHxdlZWtjcsvHZHTMa++9oQqt61JpTHx4OtymCZijzEX53Q8cqPGIikiYs6cOfHEE0/UdhYAAAAA6rBM10gCAAAAAEUSAAAAAJlUWyQVFhbG1KlTc5UFAAAAgDqs2iJp3bp18d5770W7du1ylQcAAACAOqrGi21vtdVW8c4778S4ceNi+fLl5ev79OlTq8EAAAAAqFtqLJJ+/etf5yIHAAAAAHVcjUXS2LFjo3379tGlS5cYNWpUNGzYMIqKinKRDQAAAPgGKiouiLLS9I0f85uoxiLpjDPOiDPPPDO+9a1vxQ477BBt2rSJO+64Iw499NBc5AMAAAC+YcpKUwy4tVtOxxw8cFJOx/umqvZi2xERAwcOjP333z+WLFkSEREffPBBbLvttrUeDAAAAIC6pcYiafXq1bF27dry34uKiiIlp4IBAAAAbG5qLJJeeumluOyyy6Jhw4Zx6KGHxogRI+KJJ57IRTYAAAAA6pAai6RLL700Pvvss3jrrbfirLPOiqeeeiouv/zyXGQDAAAAoA6p8WLbKaUYNmxYvP7665FSivfeey8XuQAAAACoY2osko444oi444474sMPP4yCgoLo1KlTnHXWWfHMM8/kIh8AAAAAdUSNRdIf//jHOPjgg+PDDz+MiIjOnTvHk08+qUgCAAAA2MzUeI2kpUuXlpdIERH/+te/YunSpbUaCgAAAIC6p8ozko455piIiHjjjTfiySefjOHDh0dKKU444YQYP358zgICAAAAUDdUWSQdddRR5T/PnTs3evbsGRERn332WTRs2LD2kwEAAABQp1RZJJ1++um5zAEAAABAHVfjxbY7duwY5557bnTs2DGKi/9v9z59+tRqMAAAAADqlhqLpL/97W8xZMiQeOKJJ2LdunW5yAQAAABAHVRjkbRq1aq45ZZbcpEFAAAAgDqsxiLppptuiiuuuCKee+65WL16dfn6iRMn1mowAAAAAOqWGouk3XbbLX7605/GIYccUv7RtpRS9OrVq9bDAQAAAFB31FgknXDCCdG5c+dYu3ZtLvIAAAAAUEcV1rTD22+/Hc2bN89BFAAAAADqshrPSGrevHm8++67MX78+ArXSOrTp0+tBgMAAACgbqmxSBo0aFAucgAAAABQx9VYJI0dOzYXOQAAAACo42oskpYsWRIppYiIqF+/ftSrVy+WL18ezZo1q/VwAAAAANQdNRZJTZs2rfB7nz59Yp999qm1QAAAAADUTTV+a9vnPfbYY3H44YfXRhYAAAAA6rAaz0g65phjyn8uLCyMvfbaK1atWlWroQAAAACoe2osko466qjyn0tLS2P69OnRp0+fWg0FAAAAQN1TY5F0+umn5yIHAAAAAHVclUXSr3/96ypvlFKKq6++ulYCAQAAAFA3VVkkLV++fKN1jRs3jv79+8fWW2+tSAIAAADYzFRZJN1www3lP2+55ZZx/vnnx2mnnRYPPfRQ/PGPf8xJOAAAAADqjsLqNm611VZx1VVXxeTJk6O4uDj23HPPuPTSS+Ozzz7LVT4AAAAA6ogqz0i67rrr4thjj4277rordtttt0o/6gYAAADA5qPKM5J+/vOfR+vWrePyyy+PTz75JBYvXhyLFy+OJUuWxOLFi3OZEQAAAIA6oMozkoqKinKZAwAAAIA6rtprJAEAAADAeookAAAAADJRJAEAAACQiSIJAAAAgEwUSQAAAABkokgCAAAAIBNFEgAAAACZKJIAAAAAyESRBAAAAEAmeSmSmjVrFiNGjIipU6fGlClTYp999omtttoqnnvuuXj//ffjueeei+bNm+cjGgAAAABVyEuRdNNNN8UzzzwTO+20U3Tr1i2mTp0al156aYwaNSq6du0ao0aNiksvvTQf0QAAAACoQs6LpKZNm8aBBx4YQ4YMiYiItWvXxuLFi6NPnz4xbNiwiIgYNmxY9O3bN9fRAAAAAKhGzoukTp06xWeffRZDhw6NCRMmxODBg6NRo0bRsmXLmDNnTkREzJkzJ1q2bJnraAAAAABUI+dFUnFxcey5555x++23x5577hnLly+v9GNsKaVKbz9gwIAYP358jB8/Plq0aFHbcQEAAAD4Xzkvkj7++OP4+OOPY9y4cRER8cgjj8See+4Zc+fOjVatWkVERKtWreLTTz+t9PaDBw+O7t27R/fu3WPevHk5yw0AAACwuct5kTR37tyYOXNmdO3aNSIievXqFVOmTInHH388+vXrFxER/fr1i8ceeyzX0QAAAACoRnE+Bj333HPjgQceiPr168e//vWvOO2006KwsDCGDx8e/fv3j48++ihOPPHEfEQDAAAAoAp5KZImTZoU3bt332j9oYcemoc0AAAAAGSR84+2AQAAAPD1pEgCAAAAIBNFEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADqkOKigjo7ZnEt5wAAAADgCygtS3Hrhd/J6ZgDb5ycaT9nJAEAAACQiSIJAAAAgEwUSQAAAABkokgCAAAAIBNFEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAgAAACATRRIAAAAAmSiSAAAAAMhEkQQAAABAJookAAAAADJRJAEAAACQiSIJAAAAgEwUSQAAAABkokgCAAAAIBNFEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAgAAACATRRIAAAAAmSiSAAAAAMhEkQQAAABAJookAAAAADJRJAEAAACQiSIJAAAAgEwUSQAAAABkokgCAAAAIBNFEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAAAAAGSiSAIAAAAgk7wVSYWFhTFhwoR44oknIiKiY8eO8Y9//COmTZsWDz30UNSrVy9f0QAAAACoRN6KpPPPPz+mTp1a/vvvf//7uPHGG6NLly6xcOHC6N+/f76iAQAAAFCJvBRJbdq0iSOPPDLuvvvu8nWHHHJIPPLIIxERMWzYsOjbt28+ogEAAABQhbwUSX/605/i4osvjnXr1kVExNZbbx2LFi2KsrKyiIj4+OOPo02bNpXedsCAATF+/PgYP358tGjRImeZAQAAADZ3OS+SjjzyyPj0009jwoQJX+r2gwcPju7du0f37t1j3rx5mzgdAAAAAFUpzvWA+++/fxx99NFxxBFHxBZbbBFNmzaNm266KZo3bx5FRUVRVlYWbdu2jVmzZuU6GgAAAADVyPkZSb/85S+jXbt20alTpzjppJNi9OjR8ZOf/CTGjBkTxx9/fERE9OvXLx577LFcRwMAAACgGnn71rbPu+SSS+Kiiy6KadOmxdZbbx1DhgzJdyQAAAAANpDzj7Zt6KWXXoqXXnopIiJKSkpi7733zmccAAAAAKpRZ85IAgAAAKBuUyQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAgAAACATRRIAAAAAmSiSAAAAAMhEkQQAAABAJookAAAAADJRJAEAAACQiSIJAAAAgEwUSQAAAABkokgCAAAAIBNFEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAgAAACATRRIAAAAAmSiSAAAAAMhEkQQAAABAJookAAAAADJRJAEAAACQiSIJAAAAgEwUSQAAAABkokgCAAAAIBNFEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAgAAACATRRIAAAAAmSiSAAAAAMhEkQQAAABAJookAAAAADJRJAEAAACQiSIJAAAAgEwUSQAAAABkokgCAAAAIBNFEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyyXmR1LZt2xg9enS888478fbbb8d5550XERFbbbVVPPfcc/H+++/Hc889F82bN891NAAAAACqkfMiqbS0NH7+85/HLrvsEvvss08MHDgwdtppp7j00ktj1KhR0bVr1xg1alRceumluY4GAAAAQDVyXiTNmTMnJk6cGBERy5Yti6lTp0abNm2iT58+MWzYsIiIGDZsWPTt2zfX0QAAAACoRnE+B+/QoUPsscce8frrr0fLli1jzpw5EfHvsqlly5aV3mbAgAFx5plnRkREixYtcpYVAAAAYHOXt4ttN27cOB599NG44IILYunSpRttTylVervBgwdH9+7do3v37jFv3rzajgkAAADA/8pLkVRcXByPPvpoPPDAA/HXv/41IiLmzp0brVq1ioiIVq1axaeffpqPaAAAAABUIS9F0pAhQ2Lq1Klx4403lq97/PHHo1+/fhER0a9fv3jsscfyEQ0AAACAKuT8Gkn7779/nHrqqTF58uTyi27/8pe/jGuvvTaGDx8e/fv3j48++ihOPPHEXEcDAAAAoBo5L5JeffXVKCgoqHTboYcemuM0AAAAAGSVt4ttAwAAAPD1okgCAAAAIBNFEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAgAAACATRRIAAAAAmSiSAAAAAMhEkQQAAABAJookAAAAADJRJAEAAACQiSIJAAAAgEwUSQAAAABkokgCAAAAIBNFEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAgAAACATRRIAAAAAmSiSAAAAAMhEkQQAAABAJookAAAAADJRJAEAAACQiSIJAAAAgEwUSQAAAABkokgCAAAAIBNFEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJCJIgkAAACATBRJAAAAAGSiSAIAAAAgE0USAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkIkiCQAAAIBMFEkAAAAAZKJIAgAAACATRRIAAAAAmSiSAAAAAMhEkQQAAABAJookAAAAADJRJAEAAACQiSIJAAAAgEwUSQAAAABkUueKpMMPPzzefffdmDZtWlxyySX5jgMAAADA/6pTRVJhYWHceuut8YMf/CB23nnn+PGPfxw77bRTvmMBAAAAEHWsSOrRo0d88MEHUVJSEmvXro2HHnoo+vTpk+9YAAAAAEREQUSkfIdY77jjjovevXvHgAEDIiLiJz/5Sey9995x7rnnlu8zYMCAOPPMMyMiYscdd4z33nvvK4/bokWLmDdv3le+n01FnurJUz15qidP9eSpnjzVk6d68lRPnurJUz15qidP9eSpnjzV+6bm6dChQ2y77bZVbk91ZTnuuOPS4MGDy3//yU9+km655ZZaH3f8+PF5f+zyyCOPPHVhkUceeeSRRx555JFHHnnkqW6pUx9tmzVrVrRr167897Zt28asWbPymAgAAACA9epUkTR+/Pjo0qVLdOzYMerVqxcnnXRSPP744/mOBQAAAEBEFOc7wIbKysrinHPOiWeffTaKiorinnvuiSlTptT6uHfddVetj/FFyFM9eaonT/XkqZ481ZOnevJUT57qyVM9eaonT/XkqZ481ZOneptjnjp1sW0AAAAA6q469dE2AAAAAOouRRIAAAAAmSiSAAAAAMhksy6SBg4cGOPHj49Vq1bF0KFD85qlfv36cffdd8f06dNjyZIlMXHixOjdu3deM91///3xySefxOLFi+O9996L/v375zXPejvssEOsXLky7r///rzmGDNmTKxcuTKWLl0aS5cujXfffTeveSIifvSjH8WUKVNi2bJl8cEHH8T3vve9vORY/5ysX0pLS+Pmm2/OS5b1OnToEE8++WQsWLAgZs+eHbfccksUFRXlLc+3v/3tGDVqVCxatCimTZsWffv2zen41c1/hxxySEydOjWWL18eo0ePjvbt2+ctT7169WLEiBFRUlISKaXo2bNnrWepLs/ee+8dzz33XMyfPz8+/fTTGD58eLRq1SpveXbaaacYP358LFiwIBYsWBDPP/987LTTTnnLs6Ff//rXkVKKXr165S1Phw4dIqVUYT66/PLL85YnIqJhw4Zx6623xmeffRaLFi2Kl156KW95Tj755ArPzfLlyyOlFHvuuWde8kREnHDCCTFlypRYsmRJvPPOO9GnT59azVJTnv79+8e0adNi6dKl8fTTT8d2221X63lqek2Yyzm6uiz5mJ+ry5OP+bm6PPman7O+p8jVHF1dnlzP0TU9N7men6vLk4/5uabnJ9fzc0158jE/V/f+OB+vn6vKk6v5OW2uyzHHHJP69OmTbrvttjR06NC8ZmnUqFEaNGhQ6tChQyooKEhHHnlkWrJkSerQoUPeMu28886pfv36KSLSjjvumGbPnp323HPPvP/dnn322TR27Nh0//335zXHmDFjUv/+/fP+fKxfDj300DR9+vS09957p4KCgtS6devUunXrvOdq3LhxWrp0aTrggAPymuPJJ59MQ4cOTQ0aNEgtW7ZMkydPTueee25eshQVFaX33nsvXXjhhamwsDAdfPDBadmyZalLly45y1DV/Lf11lunRYsWpeOPPz41aNAgXXfddem1117LW5569eql888/P+2///7pk08+ST179szr89O7d+90/PHHpyZNmqSGDRumIUOGpKeffjpveZo1a1b+/xOFhYXp3HPPTZMmTcpbnvVL586d0+TJk9OsWbNSr1698panQ4cOKaWUioqKcnLcZHl+7r///vTf//3fqUWLFqmwsDAn/7+a9fVOv3790gcffJC3PK1bt06rV69OvXv3ThGRjjjiiLR8+fK0zTbb5CVPz54909y5c9POO++c6tWrl2677bb04osv1vrzU91rwlzP0dVlycf8XF2efMzP1eXJ1/yc5T1FLufo6vLkeo6u6bnJ9fz8Rd7/5WJ+ri5PPubn6vLka36u6v1xvl4/V5UnR/Nz7T64r8Ny1VVX5b1IqmyZNGlSOvbYY/OeIyJS165d0yeffJJOOOGEvOb40Y9+lB5++OE0aNAgRdLnlldffTWdfvrpec/x+eXUU09NH374Yd5zTJkyJf3gBz8o//26665Ld9xxR16y7LLLLmnp0qUV1j377LPpt7/9bc6zfH7+GzBgQHr11VfLf2/UqFFasWJF2nHHHfOSZ8Nl5syZOSuSsuSJiLTHHnukJUuW1Ik8RUVF6T//8z/T8uXL857n6aefTj/4wQ9SSUlJToqkqvLkq0iqKs+OO+6YFi9enJo0aVIn8nx+GT16dLriiivylqdHjx5p7ty5Ffb59NNP0z777JOXPH/4wx/Sn//85/Lft9tuu5RSSp07d8753279a8J8z9EbZtlwXT7m5+ryROR+fq4uTz7m5+oy5WuO/nyefM/RG2bJ9/xc3fETkfv5+fN58j0/fz5PXZifN3x/XBfm5qrer9fW/LxZf7StLtt2222ja9eu8c477+Q1x6233hrLly+P9957L2bPnh1PPfVU3rI0adIkfvvb38ZFF12Utwyf97vf/S4+++yzeOWVV3L2kZvKFBYWxl577RXbbLNNTJs2LWbOnBm33HJLbLHFFnnLtF6/fv3ivvvuy3eM+NOf/hQnnXRSNGzYMFq3bh0/+MEP4plnnsl3rHIFBQWx66675jtG7LLLLjFp0qTy31esWBEffvhh7LLLLnlMVXcdeOCBeZ+nIyIWLlwYq1atiltuuSWuueaavGY5/vjjY/Xq1fH000/nNceGPvroo5g5c2bcc889sfXWW+ctR48ePeKjjz6K3/zmN/HZZ5/F5MmT49hjj81bng21b98+DjzwwLzO12+88UZMnTo1jjrqqCgsLIw+ffrE6tWrY/LkyXnLVFBQsNHPuZ6rN3xNmO85uq68Pl2vujz5mJ8ry5Pv+fnzmfI9R1f2HOVrjt4wS12Yn6s6nvM1P2+Ypy7Mz59/fvI1P1f2/jifc3O+3q8rkuqg4uLieOCBB2LYsGHx3nvv5TXLwIEDo0mTJvG9730vRo4cGatXr85blquuuiqGDBkSs2bNyluGDV1yySXRuXPnaNOmTdx1113xxBNPROfOnfOSpWXLllG/fv04/vjj44ADDojdd9899thjj5xcC6Q67du3j549e8awYcPymiMiYuzYsbHLLrvEkiVLYtasWfHGG2/E3/72t7xkee+99+LTTz+N//qv/4ri4uL4/ve/Hz179oxGjRrlJc+Gttxyy1i8eHGFdYsXL44mTZrkKVHdtdtuu8UVV1wR//Vf/5XvKLHVVltFs2bN4pxzzomJEyfmLceWW24Z11xzTZx//vl5y7ChefPmxV577RUdOnSI7373u9GkSZN44IEH8panbdu2sdtuu8XixYujdevWcc4558SwYcPi29/+dt4yrXfqqafGyy+/HNOnT89bhnXr1sV9990XDz74YKxevToefPDBOOuss2LFihV5yfPMM8/EiSeeGLvttltsscUWccUVV8S6detyOld//jVhPufouvT6tKY8+Zifq8qTz/m5suMnn3P05/Pkc47+fJZ8z8/VHc/5mJ8/nyff8/Pn8+Rzfq7s/XE+5+Z8vV9XJNUxBQUFcf/998eaNWvinHPOyXeciPj3C7tXX3012rZtG2effXZeMnTr1i0OPfTQuPHGG/MyfmXGjRsXy5YtizVr1sR9990Xr776ahxxxBF5ybJy5cqIiLjllltizpw5MX/+/Ljhhhvylme9n/70p/HKK6/k9Y1JxL//XT3zzDMxcuTIaNy4cWy99dax1VZbxe9///u85CktLY2+ffvGkUceGXPmzImf//znMXz48Pj444/zkmdDy5Yti6ZNm1ZY17Rp01i6dGmeEtVN22+/fTz99NNx/vnnxyuvvJLvOBHx7//6dccdd8R9990X22yzTV4yXHnllXH//ffHRx99lJfxP2/58uXx5ptvRllZWXz66adxzjnnxOGHHx5bbrllXvKsXLky1qxZE1dffXWsXbs2xo4dG2PGjInDDjssL3k2dOqpp+a99O/Vq1dcd911cdBBB0X9+vWjZ8+ecffdd0e3bt3ykmfUqFExaNCgePTRR2P69Okxffr0WLp0ac7m6speE+Zrjq5rr0+ry5OP+bmm5ycf83NlmfI5R1eWJ19zdGVZ8jk/13T85Hp+rixPPufnyvLke37+/PvjfL9+zsf7dUVSHTNkyJBo2bJlHHfccVFaWprvOBUUFxfH9ttvn5exDzrooOjYsWPMmDEjZs+eHb/4xS/iuOOOizfffDMveSqTUqpwimUuLVq0KGbOnBkppQp58q0uvDGJiPjWt74VHTp0iD//+c+xZs2aWLBgQQwdOjSvRdtbb70VBx10ULRo0SJ69+4dnTt3jnHjxuUtz3rvvPNOhRcFjRo1iu23377OfIyhLmjfvn288MILcdVVV8Vf/vKXfMepoLCwMBo1ahRt2rTJy/i9evWK8847L2bPnh2zZ8+Odu3axfDhw+Piiy/OS57PWz8vFhbm5+VPZR8BqAtz9X777RetW7eORx55JK85dt999xg7dmy8+eabkVKKN954I15//fU49NBD85bptttui65du0arVq3i0UcfjeLi4nj77bdzMnZlrwnzNUfXtdenVeXJ1/yc5fnJ9fxcWaZ8ztFZnqNczdGVZcnn/Fzdc5OP+bmyPPmcn6t6fvI5P6+3/v1xXXn9nMv365t1kVRUVBQNGjSIoqKiCj/ny+233x477bRTHHXUUbFq1aq85YiI2GabbeJHP/pRNG7cOAoLC+Owww6LH//4xzFq1Ki85Lnrrrti++23j9133z123333uOOOO+LJJ5+Mww8/PC95mjVrFocddlj5MXPyySfHgQcemNdr7gwdOjTOPffc2GabbaJ58+Zx4YUXxt///ve85dl3332jTZs2MWLEiLxlWG/+/Pnxr3/9K84+++woKiqKZs2aRb9+/fJ63Y3ddtstGjRoEA0bNoyf//znsd1228W9996bs/Grmv/++te/xq677hrHHntsNGjQIK644oqYPHlyrX+Mobr5uH79+tGgQYONfs5HntatW8fo0aPjz3/+c9x55521nqOmPIceemjsvvvuUVhYGE2aNIkbbrghFi5cGFOnTs1Lnl69esWuu+5aPld/8skncdZZZ8Wtt96alzw9evSIrl27RkFBQXzrW9+Km2++OcaMGRNLlizJS56xY8fGjBkz4rLLLouioqLYb7/94uCDD45nn302L3nW69evXzz66KOxbNmyWs1RU57x48fHAQccUP5ifPfdd48DDjig1ufqqvI0aNCg/PoW7dq1i7vuuituuummWLRoUa3miaj6NWE+5ujqXp/mY36uKk++5ueq8uRrfq4uU77m6Kry5GOOripLvubnmt7/5Xp+ripPvubnqvLkY36u7v1xPubmmt6v52J+zumV1uvSMmjQoPR5gwYNykuW9u3bp5RSWrlyZVq6dGn5cvLJJ+clT4sWLdKLL76YFi5cmBYvXpwmT56czjjjjLz/zTb82+XzW9tatGiRxo0bl5YsWZIWLlyYXnvttXTooYfm9TkpLi5Ot956a1q4cGGaPXt2uummm1KDBg3ylueOO+5I9913X96PlfVLt27d0pgxY9KCBQvSZ599lh5++OG07bbb5i3PddddlxYsWJCWLl2annrqqbT99tvndPzq5r9evXqlqVOnphUrVqQxY8ZU+jW0ucxTUlKy0bbazlRVniuuuCKllCrM05//Br5c5jn++OPT1KlT09KlS9Onn36a/v73v6fddtstr3+vDZdcfSNQVXlOOumk9K9//SstW7YsffLJJ2nYsGGpZcuWeX1+dt555/Q///M/admyZemdd95Jffv2zWueBg0apIULF6ZDDjmk1nNkyTNw4MA0bdq0tGTJkvThhx+miy66KG95mjVrliZNmpSWLVuWZs+ena655ppUWFhY63lqek2Yyzm6piy5np+ry5OP+bm6PPman7/Ie4pczNHV5cn1HF3Tc5Pr+bmmPLmen2vKk+v5ubo8+Zifa3p/nOvXzzXlqe35ueB/fwAAAACAam3WH20DAAAAIDtFEgAAAACZKJIAAAAAyESRBAAAAEAmiiQAAAAAMlEkAQAAAJBJcb4DAADkUmlpabz11ltRXFwcJSUl8dOf/jQWL15c5f6DBg2KZcuWxR//+MccpowoKSmJpUuXRkREUVFRjBw5Mq6++upYvXp1TnMAAGzIGUkAwGZl5cqVsccee8Ruu+0WCxYsiIEDB+Y7UpUOPvjg+M53vhM9evSIzp07x5133pnvSADAZk6RBABstl577bVo06ZNRER07tw5nn766XjjjTdi7NixseOOO260f1X7/PCHP4x//OMfMWHChHj++edj2223jYiIAw88MCZOnBgTJ06MCRMmxJZbbhkREb/4xS9i3LhxMWnSpLjyyitrzLl8+fL4j//4j+jbt29stdVW0bhx43jhhRfizTffjMmTJ8fRRx8dERG/+c1v4vzzzy+/3dVXXx3nnXfeV3qOAAA+L1ksFovFYrFsLsvSpUtTRKTCwsI0fPjwdPjhh6eISC+88ELaYYcdUkSkHj16pFGjRqWISIMGDUo///nPq92nefPm5fffv3//dP3116eISI8//njab7/9UkSkxo0bp6KiovT9738/3XnnnSkiUkFBQXriiSfSAQccsFHOkpKStPXWW1dYN3HixNSjR49UVFSUmjRpkiIibb311mnatGkpIlKHDh3Sm2++WX7fH3zwQfrWt76V9+fcYrFYLBbLN2dxjSQAYLPSsGHDmDhxYrRp0yamTp0azz//fDRu3Dj222+/GDFiRPl+DRo0qHC76vZp27ZtPPzww7HddttF/fr1o6SkJCIiXn311bjhhhvigQceiJEjR8asWbPisMMOi8MOOywmTpwYERFbbrlldOnSJV5++eUasxcUFJT/7zXXXBMHHnhgrFu3Ltq0aRMtW7aMjz76KObPnx+77757tGzZMiZOnBgLFiz4ak8YAMAGFEkAwGZl/TWSGjZsGM8++2wMHDgw7r333li0aFHsscceVd6usLCwyn1uueWWuOGGG+KJJ56Inj17ln9c7fe//308+eSTccQRR8Srr74ahx9+eBQUFMTvfve7uOuuu75Q7i233DI6duwY77//fpxyyimxzTbbxHe/+90oLS2NkpKS2GKLLSIi4u67746f/exn0apVq7jnnnu+0BgAADVxjSQAYLO0cuXKOO+88+LnP/95rFixIkpKSuL4448v3/6d73ynwv5Lly6tcp9mzZrFrFmzIiKiX79+5ds7d+4cb7/9dlx33XUxfvz4+Pa3vx3PPvtsnH766dG4ceOIiGjdunVss8021WZt3Lhx3HbbbfG3v/0tFi1aFM2aNYtPP/00SktL46CDDoqOHTuW7/vXv/41evfuHd27d49nn332yz05AABVUCQBAJutf/7znzF58uT48Y9/HKecckr0798//vnPf8Y777wTffr02Wj/qva58sorY8SIEfHGG2/EvHnzyve/4IIL4q233opJkybF2rVr4+mnn47nn38+HnzwwXjttddi8uTJ8cgjj0STJk0qzTdmzJh46623Yty4cTFjxow466yzIiLigQceiL322ismT54cp556akydOrX8NmvXro0xY8bE8OHDY926dZvy6QIAiIL498WSAAD4BigoKIgJEybECSecEB988EG+4wAA3zDOSAIA+IbYaaed4oMPPohRo0YpkQCAWuGMJAAAAAAycUYSAAAAAJkokgAAAADIRJEEAAAAQCaKJAAAAAAyUSQBAAAAkMn/B0D+I17Ja2jRAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,12))\n",
    "edgecolor=(0,0,0),\n",
    "sns.countplot(train['release_day'].sort_values(), palette = \"Dark2\", edgecolor=(0,0,0))\n",
    "plt.title(\"Movie Release count by Day of Month\",fontsize=20)\n",
    "plt.xlabel('Release Day')\n",
    "plt.ylabel('Number of Movies Release')\n",
    "plt.xticks(fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:54.538451Z",
     "start_time": "2020-08-19T14:01:54.509935Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1     152\n",
       "15    126\n",
       "12    122\n",
       "7     110\n",
       "6     107\n",
       "17    106\n",
       "16    106\n",
       "13    106\n",
       "25    106\n",
       "10    104\n",
       "9     104\n",
       "14    104\n",
       "22    102\n",
       "8     101\n",
       "21     99\n",
       "18     98\n",
       "24     97\n",
       "5      96\n",
       "2      94\n",
       "19     94\n",
       "11     93\n",
       "4      88\n",
       "20     87\n",
       "23     85\n",
       "26     82\n",
       "3      80\n",
       "30     75\n",
       "28     74\n",
       "27     74\n",
       "29     72\n",
       "31     56\n",
       "Name: release_day, dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['release_day'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### On first date highest number of movies are released, 152."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-18T05:41:09.575522Z",
     "start_time": "2020-08-18T05:41:09.572168Z"
    }
   },
   "source": [
    "## 8. On which day of week most movies are released?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-19T14:01:55.172959Z",
     "start_time": "2020-08-19T14:01:54.549256Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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YAAAAAChEYAIAAACgEIEJAAAAgEIEJgAAAAAKEZgAAAAAKERgAgAAAKAQgQkAAACAQgQmAAAAAAoRmAAAAAAoRGACAAAAoJB/KjBtv/322XPPPRt7FgAAAAAqUIOB6XOf+1yeeuqp/OEPf0iS9OrVK3feeWejDwYAAABAZWgwMP3gBz9I3759s3z58iTJ9OnT071798aeCwAAAIAK0WBgWrNmTd54440NlpVKpUYbCAAAAIDK0mBgeuaZZ3LKKaekefPm+dCHPpT/+Z//yaOPPtoUswEAAABQARoMTN/4xjfy4Q9/OKtXr86vfvWrvPHGGznnnHOaYDQAAAAAKkGLhlZ46623cuGFF+bCCy9Ms2bN0rp166xevbopZgMAAACgAjR4BtOtt96aNm3aZIcddsjMmTMza9asfOtb32qK2QAAAACoAA0Gpn333TcrV67MgAEDcu+996Z79+457bTTmmI2AAAAACpAg4Fpu+22S4sWLTJgwICMGzcua9eu9S1yAAAAANRrMDBdf/31eeGFF9K6detMmjQpu+22W954442mmA0AAACACtBgYLrmmmvSpUuXHHvssUmSBQsW5NBDD230wQAAAACoDA1+i1ySHHPMMfnwhz+c7bffvn7ZRRdd1GhDAQAAAFA5GjyD6brrrssXv/jFfOMb30hVVVVOPPHEdOvWrSlmAwAAAKACNBiYDjzwwAwaNCjLli3Lj370o3zyk5/Mnnvu2RSzAQAAAFABGgxMb731VpJk1apV2XXXXbNmzZrsuuuujT4YAAAAAJWhwcD0+9//Pm3bts3ll1+eqVOn5oUXXsivfvWrQjs955xz8vTTT2fmzJm57bbb8oEPfCC77757Hn/88cydOzejR4/OdtttlyRp2bJlRo8enblz5+bxxx93eR4AAADAFqbBwHTxxRdnxYoVueOOO9KtW7fsvffe+f73v/++d9i5c+d885vfzCc+8Yl85CMfSfPmzXPyySfn0ksvzVVXXZWePXtm2bJlGTx4cJJk8ODBWbZsWXr27Jmrrroql1566fveNwAAAACbX4OBqVWrVrnwwgvz85//PO+880522WWXHHvssYV22qJFi7Rq1SrNmzfPDjvskJdffjmHHXZYxo4dmyQZNWpUBgwYkCTp379/Ro0alSQZO3ZsDj/88EL7BgAAAGDzajAw3XjjjVm9enU++clPJknq6upy8cUXv+8dvvTSS/nv//7vLFiwIC+//HJWrFiRJ598MsuXL8+6deuSJIsWLUpNTU2SpKamJgsXLkySrFu3LitWrEj79u3ftd0hQ4aktrY2tbW16dChw/ueDwAAAIB/TYOBaY899sjll1+eNWvWJPnrTb+rqqre9w6rq6vTv3//dO/ePZ07d07r1q1z1FFHve/t/c2IESPSp0+f9OnTJ0uXLi28PQAAAAD+OQ0GpnfeeSfbb799SqVSkqRHjx5ZvXr1+97hZz7zmcyfPz9Lly7N2rVrc8cdd+Sggw5KdXV1mjdvniTp0qVL6urqkvz1jKmuXbsmSZo3b562bdvmtddee9/7BwAAAGDzajAwDR8+PH/4wx/StWvX3HLLLZk4cWK+/e1vv+8dLliwIAcccEBatWqVJDn88MMza9asPPjggznhhBOSJIMGDcqdd96ZJBk3blwGDRqUJDnhhBPywAMPvO99AwAAALD5tWhohfvvvz9Tp07NAQcckKqqqgwdOrTQGURPPPFExo4dm6lTp2bt2rWZNm1afv7zn+fuu+/O6NGjc/HFF2fatGkZOXJkkmTkyJH55S9/mblz5+b111/PySef/L73DQAAAMDmV5Wk9F4v9O7de5NvnDZtWmPMs1nU1tamT58+5R4DAIAt3JBre5V7BMpoxFnTyz0CQEXZVG/Z6BlMV1xxxUY3WCqVcvjhhxefDAAAAICKt9HAdNhhhzXlHAAAAABUqAZv8t2qVat897vfzfXXX58k+dCHPpRjjz220QcDAAAAoDI0GJhuvPHGvPPOOznwwAOTJHV1dbn44osbfTAAAAAAKkODgWmPPfbI5ZdfnjVr1iRJ3nrrrVRVVTX6YAAAAABUhgYD0zvvvJPtt98+pdJfv2yuR48eWb16daMPBgAAAEBl2OhNvv9m+PDh+cMf/pCuXbvmlltuyUEHHZSvfOUrTTAaAAAAAJWgwcB0//33Z+rUqTnggANSVVWVoUOHZocddmiK2QAAAACoAJu8RO6AAw7IF77whTRv3jz33HNPFixYkP/5n//JI4880lTzAQAAALCF22hguuyyy/KLX/wiX/jCF3L33Xfnoosuyn333ZcpU6akZ8+eTTkjAAAAAFuwjV4id+yxx6Z3795ZvXp1qqurs3Dhwuy333558cUXm3I+AAAAALZwGz2D6e23367/trjly5dn7ty54hIAAAAA77LRM5h69OiRO++8s/559+7dN3jev3//xp0MAAAAgIqw0cD0jwHpiiuuaPRhAAAAAKg8Gw1MkyZNaso5AAAAAKhQG70HEwAAAAD8MwQmAAAAAAr5lwJTVVVV2rRp01izAAAAAFCBGgxMt956a9q0aZMddtghTz/9dGbNmpVvfetbTTEbAAAAABWgwcC07777ZuXKlRkwYEDuvffedO/ePaeddlpTzAYAAABABWgwMG233XZp0aJFBgwYkHHjxmXt2rUplUpNMRsAAAAAFaDBwHT99dfnhRdeSOvWrTNp0qTstttueeONN5piNgAAAAAqQIOB6ZprrkmXLl1y7LHHJkkWLFiQQw89tNEHAwAAAKAyNBiYdtlll9xwww255557kiT77LNPBg0a1OiDAQAAAFAZGgxMN910U8aPH5/OnTsnSebMmZNzzjmnsecCAAAAoEI0GJg6dOiQ22+/PevXr0+SrFu3LuvWrWv0wQAAAACoDA0GpjfffDMf/OAH6785rl+/flmxYkWjDwYAAABAZWjR0Arnnntuxo0blz322CMPP/xwdt5555xwwglNMRsAAAAAFaDBwDRt2rQccsgh2WuvvVJVVZXnnnsua9eubYrZAAAAAKgAGw1Mhx56aB588MF8/vOf32D5nnvumST57W9/27iTAQAAAFARNhqYDjnkkDz44IM57rjj3vVaqVQSmAAAAABIsonA9IMf/CBJ8tWvfrX+G+QAAAAA4B81+C1y8+fPz/XXX5/DDjusKeYBAAAAoMI0GJj23nvv3H///TnrrLMyf/78XHPNNTnooIOaYjYAAAAAKkCDgemtt97K7bffni984Qvp3bt3dtpppzz00ENNMRsAAAAAFaDBwJQkBx98cK699to8+eST2X777XPSSSc19lwAAAAAVIiN3uT7b+bPn59p06ZlzJgx+c///M+sWrWqKeYCAAAAoEI0GJg++tGPZuXKlU0xCwAAAAAVqMFL5HbaaafccccdWbJkSZYsWZKxY8empqamKWYDAAAAoAI0GJhuvPHGjBs3Lp07d07nzp1z11135cYbb2yK2QAAAACoAA0Gpp133jk33XRT1q1bl3Xr1mXUqFHZeeedm2I2AAAAACpAg4Hptddey6mnnppmzZqlWbNmOfXUU/Paa681xWwAAAAAVIAGA9MZZ5yRk046KYsXL87LL7+cE044IaeffnpTzAYAAABABWjwW+QWLFiQ/v37N8UsAAAAAFSgjQamq6++epNvHDp06GYfBgAAAIDKs9HA9O///u95+umnM2bMmLz00kupqqpqyrkAAAAAqBAbDUy77rprTjzxxHzxi1/M2rVr8+tf/zpjx47NihUrmnI+AAAAALZwG73J9+uvv57rr78+hx12WE4//fRUV1dn1qxZ+fKXv9yU8wEAAACwhWvwJt+9e/fOKaecks9+9rO599578+STTzbFXAAAAABUiI0Gph/+8Ic59thjM3v27IwePTrnn39+1q1b15SzAQAAAFABNhqYLrzwwsyfPz+9evVKr1698uMf/zhJUlVVlVKplF69ejXZkAAAAABsuTYamLp3796UcwAAAABQoTYamBYsWNCUcwAAAABQoTb6LXIAAAAA8M8QmAAAAAAoZKOB6f7770+S/OQnP2myYQAAAACoPBu9B9Ouu+6aT37ykzn++OMzevToVFVVbfD6tGnTGn04AAAAALZ8Gw1M3//+9/O9730vXbp0yZVXXrnBa6VSKYcffnijDwcAAADAlm+jgek3v/lNfvOb3+TCCy/MxRdf3JQzAQAAAFBBNhqY/ubiiy/Occcdl4MPPjhJ8sc//jF33313ow8GAAAAQGVo8FvkfvzjH2fo0KGZNWtWZs2alaFDh+a//uu/mmI2AAAAACpAg2cwHXvssfnYxz6WUqmUJBk1alSmTZuW7373u40+HAAAAABbvgbPYEqS6urq+p/btm3bWLMAAAAAUIEaPIPpkksuybRp0/Lggw+mqqoqBx98cIYNG9YUswEAAABQARoMTKNHj84f//jH9OnTJ0nyne98J0uWLGn0wQAAAACoDA0GpiRZvHhx7rrrrsaeBQAAAIAK9E/dgwkAAAAANkZgAgAAAKCQTQamZs2aZfbs2U01CwAAAAAVaJOBaf369XnuuefStWvXppoHAAAAgArT4E2+27Vrl2eeeSZPPPFE3nzzzfrl/fv3b9TBAAAAAKgMDQam733ve00xBwAAAAAVqsHANGnSpOy2227p2bNnJk6cmFatWqV58+ZNMRsAAAAAFaDBb5H76le/mrFjx+b6669PktTU1OR3v/tdY88FAAAAQIVoMDCdddZZOeigg/LGG28kSebNm5dddtml0QcDAAAAoDI0GJhWr16dNWvW1D9v3rx5SqVSow4FAAAAQOVoMDA99NBDOf/889OqVat85jOfye2335677rqrKWYDAAAAoAI0GJiGDRuWV199NTNnzszXvva13HPPPbnwwgubYjYAAAAAKkCD3yJXKpUyatSoTJkyJaVSKc8991xTzAUAAABAhWgwMB1zzDH52c9+lj//+c+pqqpK9+7d87WvfS1/+MMfmmI+AAAAALZwDQamK664Ioceemj+/Oc/J0l69OiRu+++W2ACAAAAIMk/cQ+mlStX1selJHn++eezcuXKRh0KAAAAgMqx0TOYPv/5zydJ/vSnP+Xuu+/OmDFjUiqVcuKJJ6a2trbJBgQAAABgy7bRwHTcccfV/7xkyZIccsghSZJXX301rVq1avzJAIBtxrRDLyv3CJRJ7we/Xe4RAIDNYKOB6Ywzzmi0nbZt2zY33HBD9ttvv5RKpZxxxhl57rnn8utf/zq77757XnjhhZx00klZvnx5kuTqq6/OMccck1WrVuUrX/lKpk2b1mizAQAAAPCvafAeTLvvvnuuuOKK/OY3v8mdd95Z/yji6quvzh/+8Ifss88+6dWrV2bPnp1hw4Zl4sSJ2XPPPTNx4sQMGzYsSXL00UenZ8+e6dmzZ84888xcd911hfYNAAAAwObV4LfI/e53v8vIkSNz1113Zf369YV3uNNOO+Xggw/OV77ylSTJmjVrsmLFivTv3z+f/vSnkySjRo3KH//4xwwbNiz9+/fPzTffnCSZMmVKqqur06lTpyxevLjwLAAAAAAU12Bgevvtt3PNNddsth127949r776am688cb06tUrTz75ZIYOHZqOHTvWR6PFixenY8eOSZKamposXLiw/v2LFi1KTU3NuwLTkCFDcuaZZyZJOnTosNnmBQAAAGDTGrxE7uqrr873v//9HHDAAendu3f94/1q0aJF9t9//1x33XXZf//98+abb9ZfDvf3SqXSv7TdESNGpE+fPunTp0+WLl36vucDAAAA4F/T4BlMH/nIR3LaaaflsMMOq79ErlQq5fDDD39fO1y0aFEWLVqUJ554IkkyduzYDBs2LEuWLKm/9K1Tp0555ZVXkiR1dXXp2rVr/fu7dOmSurq697VvAAAAADa/BgPTiSeemB49emTNmjWbZYdLlizJwoULs+eee2bOnDk5/PDDM2vWrMyaNSuDBg3KpZdemkGDBtXfSHzcuHE5++yzM3r06PTr1y8rVqxw/yUAAACALUiDgenpp59OdXV1Xn311c2202984xu59dZb07Jlyzz//PM5/fTT06xZs4wZMyaDBw/Oiy++mJNOOilJcs899+SYY47JvHnzsmrVqpx++umbbQ4AAAAAimswMFVXV+fZZ59NbW1tVq9eXb+8f//+73un06dPT58+fd61/DOf+cx7rn/22We/730BAAAA0LgaDEzDhw9vijkAAAAAqFANBqZJkyY1xRwAAAAAVKgGA9Mbb7yRUqmUJGnZsmW22267vPnmm2nbtm2jDwcAAADAlq/BwLTTTjtt8Lx///454IADGm0gAAAAACpLs3/1DXfeeWeOPPLIxpgFAAAAgArU4BlMn//85+t/btasWT7xiU/k7bffbtShAAAAAKgcDQam4447rv7ntWvX5oUXXkj//v0bdSgAAAAAKkeDgemMM85oijkAAAAAqFAbDUzf+973NvqmUqmUiy++uFEGAgAAAKCybDQwvfnmm+9a1rp16wwePDjt27cXmAAAAABIsonAdOWVV9b/vOOOO2bo0KE5/fTTM3r06FxxxRVNMhwAAAAAW75mm3qxXbt2ueiiizJjxoy0aNEi+++/f4YNG5ZXX321qeYDAAAAYAu30TOYLrvssvyf//N/8vOf/zwf+chH3vOSOQAAAADY6BlM5513Xjp37pwLL7wwL730UlasWJEVK1bkjTfeyIoVK5pyRgAAAAC2YBs9g6l58+ZNOQcAAAAAFWqT92ACAAAAgIYITAAAAAAUIjABAAAAUIjABAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFCEwAAAAAFCIwAQAAAFCIwAQAAABAIQITAAAAAIUITAAAAAAUIjABAAAAUIjABAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFCEwAAAAAFCIwAQAAAFCIwAQAAABAIQITAAAAAIUITAAAAAAUIjABAAAAUIjABAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFCEwAAAAAFCIwAQAAAFCIwAQAAABAIQITAAAAAIUITAAAAAAUIjABAAAAUIjABAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFCEwAAAAAFCIwAQAAAFCIwAQAAABAIQITAAAAAIUITAAAAAAU0qLcAwCwZbhw2O3lHoEyuvgnJ5Z7BAAAKpgzmAAAAAAoRGACAAAAoBCBCQAAAIBCBCYAAAAAChGYAAAAAChEYAIAAACgEIEJAAAAgEIEJgAAAAAKEZgAAAAAKERgAgAAAKAQgQkAAACAQgQmAAAAAAoRmAAAAAAoRGACAAAAoBCBCQAAAIBCBCYAAAAAChGYAAAAAChEYAIAAACgkLIFpmbNmmXq1Km56667kiS77757Hn/88cydOzejR4/OdtttlyRp2bJlRo8enblz5+bxxx9Pt27dyjUyAAAAAO+hbIFp6NChmT17dv3zSy+9NFdddVV69uyZZcuWZfDgwUmSwYMHZ9myZenZs2euuuqqXHrppeUaGQAAAID3UJbAVFNTk2OPPTY33HBD/bLDDjssY8eOTZKMGjUqAwYMSJL0798/o0aNSpKMHTs2hx9+eJPPCwAAAMDGlSUw/fSnP823v/3trF+/PknSvn37LF++POvWrUuSLFq0KDU1NUn+GqMWLlyYJFm3bl1WrFiR9u3bl2NsAAAAAN5DkwemY489Nq+88kqmTp26Wbc7ZMiQ1NbWpra2Nh06dNis2wYAAABg41o09Q4POuigHH/88TnmmGOy/fbbZ6eddsrVV1+d6urqNG/ePOvWrUuXLl1SV1eXJKmrq0vXrl1TV1eX5s2bp23btnnttdfetd0RI0ZkxIgRSZLa2tom/UwAAAAA27ImP4PpggsuSNeuXdO9e/ecfPLJeeCBB/LlL385Dz74YE444YQkyaBBg3LnnXcmScaNG5dBgwYlSU444YQ88MADTT0yAAAAAJtQtm+R+0ff+c53cu6552bu3Llp3759Ro4cmSQZOXJk2rdvn7lz5+bcc8/NsGHDyjwpAAAAAH+vyS+R+3sPPfRQHnrooSTJ/Pnz069fv3ets3r16px00klNPRoAAAAA/6Qt5gwmAAAAACqTwAQAAABAIQITAAAAAIUITAAAAAAUIjABAAAAUIjABAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFCEwAAAAAFCIwAQAAAFCIwAQAAABAIQITAAAAAIUITAAAAAAUIjABAAAAUIjABAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFCEwAAAAAFCIwAQAAAFCIwAQAAABAIQITAAAAAIUITAAAAAAUIjABAAAAUIjABAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFCEwAAAAAFCIwAQAAAFCIwAQAAABAIQITAAAAAIUITAAAAAAUIjABAAAAUIjABAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFCEwAAAAAFCIwAQAAAFCIwAQAAABAIQITAAAAAIUITAAAAAAUIjABAAAAUIjABAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFCEwAAAAAFCIwAQAAAFCIwAQAAABAIQITAAAAAIUITAAAAAAUIjABAAAAUIjABAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFCEwAAAAAFCIwAQAAAFCIwAQAAABAIQITAAAAAIUITAAAAAAUIjABAAAAUIjABAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFCEwAAAAAFNLkgalLly554IEH8swzz+Tpp5/ON7/5zSRJu3btct9992XOnDm57777Ul1dXf+eq6++OnPnzs306dPTu3fvph4ZAAAAgE1o8sC0du3anHfeefnwhz+cAw44IGeddVb22WefDBs2LBMnTsyee+6ZiRMnZtiwYUmSo48+Oj179kzPnj1z5pln5rrrrmvqkQEAAADYhCYPTIsXL860adOSJH/5y18ye/bs1NTUpH///hk1alSSZNSoURkwYECSpH///rn55puTJFOmTEl1dXU6derU1GMDAAAAsBFlvQdTt27d0rt370yZMiUdO3bM4sWLk/w1QnXs2DFJUlNTk4ULF9a/Z9GiRampqSnLvAAAAAC8W4ty7bh169b5zW9+k3POOScrV6581+ulUulf2t6QIUNy5plnJkk6dOiwWWYEAAAAoGFlOYOpRYsW+c1vfpNbb701v/3tb5MkS5Ysqb/0rVOnTnnllVeSJHV1denatWv9e7t06ZK6urp3bXPEiBHp06dP+vTpk6VLlzbBpwAAAAAgKdMZTCNHjszs2bNz1VVX1S8bN25cBg0alEsvvTSDBg3KnXfeWb/87LPPzujRo9OvX7+sWLGi/lI62Bo9MLhrwyuxVTps5MKGVwIAANgCNXlgOuiggzJw4MDMmDGj/mbfF1xwQX7yk59kzJgxGTx4cF588cWcdNJJSZJ77rknxxxzTObNm5dVq1bl9NNPb+qRAQAAANiEJg9MjzzySKqqqt7ztc985jPvufzss89uzJEAAAAAKKCs3yIHAAAAQOUTmAAAAAAoRGACAAAAoBCBCQAAAIBCBCYAAAAAChGYAAAAAChEYAIAAACgEIEJAAAAgEIEJgAAAAAKEZgAAAAAKERgAgAAAKAQgQkAAACAQgQmAAAAAAoRmAAAAAAopEW5BwAAANgWPTFyt3KPQJn0Hbyg3CPAZucMJgAAAAAKEZgAAAAAKERgAgAAAKAQgQkAAACAQgQmAAAAAAoRmAAAAAAoRGACAAAAoBCBCQAAAIBCBCYAAAAAChGYAAAAACikRbkH2BJ9+Mpzyj0CZfTMuT8t9wgAAABQUZzBBAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFtCj3AAAAAEDTufY/PlruESijs66a0SjbdQYTAAAAAIUITAAAAAAUIjABAAAAUIjABAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFCEwAAAAAFCIwAQAAAFCIwAQAAABAIQITAAAAAIUITAAAAAAUIjABAAAAUIjABAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFCEwAAAAAFCIwAQAAAFCIwAQAAABAIQITAAAAAIUITAAAAAAUIjABAAAAUIjABAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFCEwAAAAAFCIwAQAAAFCIwAQAAABAIQITAAAAAIUITAAAAAAUIjABAAAAUIjABAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFCEwAAAAAFCIwAQAAAFCIwAQAAABAIQITAAAAAIUITAAAAAAUIjABAAAAUEjFBKYjjzwyzz77bObOnZvvfOc75R4HAAAAgP+fighMzZo1y7XXXpujjz46++67b0455ZTss88+5R4LAAAAgFRIYOrbt2/mzZuX+fPnZ82aNRk9enT69+9f7rEAAAAASIUEppqamixcuLD++aJFi1JTU1PGiQAAAAD4mxblHmBzGTJkSM4888wkyV577ZXa2toyT1S5OnTokKVLl5Z7jPKpPbXcE2zTtuXjr/bfyz3Btm1bPvaSpP8Xyvt7c21Z915e2/qxVxv/zVZO2/rxd6bDr2y29WPPX1fLa5s//r70/t/brVu3jb5WEYGprq4uXbt2rX/epUuX1NXVbbDOiBEjMmLEiKYebatUW1ubPn36lHsMtlGOP8rFsUe5OPYoJ8cf5eLYo5wcf42jIi6Rq62tTc+ePbP77rtnu+22y8knn5xx48aVeywAAAAAUiFnMK1bty5nn312xo8fn+bNm+cXv/hFZs2aVe6xAAAAAEiFBKYkuffee3PvvfeWe4xtws9//vNyj8A2zPFHuTj2KBfHHuXk+KNcHHuUk+OvcVQlKZV7CAAAAAAqV0XcgwkAAACALZfABAD/pG7duqVUKqV58+blHoUKN3z48Pzyl78s9xjwLitXrkz37t3LPQYAFUhg2kbMnz8/q1evTvv27TdYPnXq1JRKpXTr1q1Mk7EtWLlyZf1j3bp1WbVqVf3zL33pS+Uej63QsGHDcs8992ywbM6cOe+57Itf/GJTjsY2wp97bGnmz5+/wXG4cuXK7Lrrru9ar02bNpk/f34ZJmRrc9BBB+WRRx7J8uXL89prr+Xhhx/OJz7xiQbfN3/+/Bx++OFNMCFbo/d73LF5CEzbkPnz5+eUU06pf77ffvtlhx12KONEbCvatGlT/1iwYEGOO+64+ue33XZbucdjKzRp0qQceOCBadbsr7/mOnXqlO222y69e/feYFnPnj0zadKkco7KVsqfe2yJ/v44bNOmTV5++eX615yZyebUpk2b/P73v88111yTD37wg6mpqckPf/jDrF69utyjsRVz3JWfwLQN+eUvf5mBAwfWPx80aFBuvvnm+uc77bRTRo0alVdeeSUvvPBCvvvd76aqqqp+3cmTJ+fyyy/P66+/nueffz5HHXVUk38Gti7/eInIP15+tNNOO+WGG27ISy+9lEWLFuWiiy6qjwOwKbW1tdluu+3ysY99LEnyqU99Kg8++GCee+65DZbNmzcvb7755kaPs2bNmuXyyy/Pq6++mj//+c859thjy/SJ2Bq1bNkyo0aNyhtvvJGnn346H//4x+tfK5VK2WOPPeqf33jjjbnooovKMSZbsVKplK9//euZM2dO5s6dW7/s7489eD/23HPPJMno0aOzfv36vP3225kwYUJmzpyZHj16ZOLEiVm6dGleffXV3HLLLWnbtm2S5Oabb85uu+2Wu+66KytXrsx//ud/lvNjUGE2ddw19PeOBx98MD/60Y/y8MMP54033sj48ePfdfUPDfM3tW3I448/np122il77713mjVrlpNPPjm33HJL/evXXHNN2rZtmx49euSQQw7JwIEDc/rpp9e/3q9fvzz33HPp0KFDLrvssowcObIcH4NtyE033ZS1a9fmQx/6UHr37p0jjjgiX/3qV8s9FhVgzZo1mTJlSg4++OAkycEHH5zJkyfn4Ycf3mDZpEmTNnmcDRkyJJ/73OfSu3fvfOITn8gJJ5xQts/E1uf444/P6NGjU11dnXHjxuX//b//V+6R2AYNGDAg/fr1y7777lvuUdiKzJkzJ+vWrctNN92Uo446KtXV1fWvVVVV5ZJLLknnzp2zzz77pGvXrvnBD36QJBk4cOAGZ31efvnl5fkAVKRNHXf/jC996Us5/fTTs8suu6Rly5b51re+1TiDbsUEpm3M385i+uxnP5vZs2enrq4uyV9Piz755JNz/vnn5y9/+UtefPHFXHHFFTnttNPq3/viiy/mhhtuyPr16zNq1Kh07tw5HTt2LNdHYSu3yy675Jhjjsk555yTVatW5dVXX81VV12Vk08+udyjUSEeeuih+pj0qU99KpMnT87kyZM3WPbQQw9t8jg76aST8tOf/jSLFi3KsmXLcskll5Tt87D1efjhh3Pvvfdm/fr1+eUvf5levXqVeyS2cr/73e+ybNmyLFu2LL/97W+TJJdcckmWLVuWt99+u8zTsTVZuXJl/u3f/i2lUikjRozIq6++mjvvvDO77LJL/vznP+f+++/PO++8k6VLl+bKK6/MIYccUu6R2Qps6rj7Z9x4442ZO3du3n777YwZM6b+rHf+eS3KPQBN65e//GUmTZqU7t27b3B5XIcOHdKyZcu8+OKL9ctefPHF1NTU1D9fvHhx/c9vvfVWkmTHHXfMkiVLmmBytjXdunXLdtttt8H9IZo1a5aFCxeWcSoqyaRJk3LWWWelXbt22XnnnTNv3rwsWbIko0aNSrt27bLffvvl2Wef3eRx1rlz5w2Oub//MxKK+vvfq6tWrUqrVq3SvHnzrFu3roxTsTUbMGBAJk6cWP+8VCr5vUqjefbZZ+uvhthrr71yyy235Kc//WnOOeecXH311fnUpz6VNm3apFmzZlm2bFmZp2VrsbHj7rnnnmvwvf/4e3nHHXdstDm3Vs5g2sYsWLAg8+fPzzHHHJM77rijfvnSpUvzzjvvbPBtcrvttlv9GU7QGN58880NbjTfqVOn+p8XLlyY1atXp0OHDmnXrl3atWuXtm3bZr/99ivHqFSgxx57LG3bts2QIUPyyCOPJPnr/9l66aWXMmTIkLz00ktZsGDBJo+zl19+OV27dq3f5m677VaWz8K2Z1N/PsLmVCqVyj0C24DnnnsuN910U/bbb7/8+Mc/TqlUykc+8pG0bds2X/7yl+vv+5o4Jtl8/v6483u1aQhM26DBgwfnsMMOy6pVq+qXrVu3LmPGjMl//dd/Zccdd8xuu+2Wc889d4N7NMHm9tRTT+Xggw9O165ds9NOO+X888+vf23x4sW57777csUVV6RNmzapqqpKjx496i9vgoa8/fbb+dOf/pRzzz03kydPrl/+8MMP59xzz82kSZMaPM7GjBmTb37zm6mpqUl1dXWGDRtWro/DNuapp57Kl770pTRr1ixHHnmky0eAirLXXnvl3HPPrb8aokuXLjnllFPy+OOPp02bNvnLX/6SFStWpHPnzu+6kfeSJUvSo0ePcoxNhdvUcbepv3ew+QhM26Dnn38+Tz755LuWf+Mb38ibb76Z559/Pg8//HBuu+22/OIXvyjDhGwr7r///vz617/OjBkz8uSTT+b3v//9Bq8PHDgwLVu2zKxZs7Js2bKMHTs2u+66a5mmpRI99NBD6dixYx5++OH6ZZMnT07Hjh0zadKkJJs+zkaMGJHx48dn+vTpmTp16gZnfkJjGjp0aI477rgsX748p556an73u9+VeySAf9rKlSvTr1+/TJkyJX/5y1/y+OOP5+mnn855552XH/7wh9l///2zYsWK3H333e/63XrJJZfkwgsvzLJly3LeeeeV6RNQiTZ13DX09w42j6okzkEEAAAA4H1zBhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCECEwAAAACFCEwAAAAAFCIwAQAVZ+3atZk2bVpmzpyZcePGpW3btptcf/jw4TnvvPOaaLr/v/nz52fGjBmZMWNGnnnmmVx00UX5wAc+0Kj7/MY3vpFZs2bllltu2WD51KlT06tXryRJ8+bNs3Llypx66qn1r//pT39K7969/+X9zZ8/P+3bty82NABQ8QQmAKDivPXWW+ndu3c+8pGP5PXXX89ZZ51V7pE26tBDD81HP/rR9O3bNz169Mj111/fqPv7+te/ns9+9rP58pe/vMHyRx55JAceeGCSpFevXpkzZ0798x122CF77LFHpk+f3qizAQBbL4EJAKhojz32WGpqapIkPXr0yL333ps//elPmTRpUvbaa693rb+xdT73uc/l8ccfz9SpUzNhwoTssssuSZKDDz4406ZNy7Rp0zJ16tTsuOOOSZJvfetbeeKJJzJ9+vT84Ac/aHDON998M//+7/+eAQMGpF27dmndunXuv//+PPnkk5kxY0aOP/74JMkPf/jDDB06tP59F198cb75zW++a3v/8R//kZkzZ2bmzJn161933XX1n++cc87ZYP1HH320PigdeOCB+dnPfpaPfexjSZK+ffvmySefzPr163PqqadmypQpmTZtWn72s5+lWbO//ufiZz/72Tz66KN58sknM2bMmLRu3XqD7W+//fa555578tWvfrXBfxcAwNap5OHh4eHh4eFRSY+VK1eWkpSaNWtWGjNmTOnII48sJSndf//9pQ996EOlJKW+ffuWJk6cWEpSGj58eOm8887b5DrV1dX12x88eHDpv//7v0tJSuPGjSsdeOCBpSSl1q1bl5o3b1767Gc/W7r++utLSUpVVVWlu+66q/SpT33qXXPOnz+/1L59+w2WTZs2rdS3b99S8+bNS23atCklKbVv3740d+7cUpJSt27dSk8++WT9tufNm1f64Ac/uME29t9//9KMGTNKO+ywQ6l169alp59+uvSxj31so/tMUtptt91Kf/7zn0tJSrfddltpr732Kj3wwAOlHXfcsXTBBReUfvSjH5X23nvv0rhx40otWrQoJSlde+21pdNOO63Uvn370kMPPVTaYYcdSklK3/72t0vf+9736vfXrVu30oQJE0qnnXZa2Y8NDw8PDw8Pj/I8WgQAoMK0atUq06ZNS01NTWbPnp0JEyakdevWOfDAA3P77bfXr/eP9zva1DpdunTJr3/96+y6665p2bJl5s+fn+Svl5ZdeeWVufXWW3PHHXekrq4uRxxxRI444ohMmzYtSbLjjjumZ8+emTx5coOzV1VV1f/zxz/+cQ4++OCsX78+NTU16dixY1588cW89tpr+djHPpaOHTtm2rRpef311zfYxr/927/lt7/9bVatWpUkueOOO/KpT30qTz311Eb3u2DBgrRs2TIdO3bM3nvvneeeey61tbXp169fDjzwwFxzzTU5/PDD8/GPfzy1tbX1/55feeWVHHDAAdl3333zyCOPJElatmyZxx57rH7bd955Zy677LLcdtttDX5+AGDrJDABABXnb/dgatWqVcaPH5+zzjorN910U5YvX77JG1U3a9Zso+tcc801ufLKK3PXXXflkEMOqb/s7dJLL83dd9+dY445Jo888kiOPPLIVFVV5ZJLLsnPf/7zf2nuHXfcMbvvvnvmzJmTU089NTvvvHM+/vGPZ+3atZk/f3623377JMkNN9yQr3zlK+nUqVN+8Ytf/Ev72JRHH300J554Yl5++eUkyeOPP56DDjooffv2zWOPPZaePXtm1KhRueCCCzZ43+c+97lMmDAhX/rSl95zu4888kiOOuoogQkAtmHuwQQAVKy33nor3/zmN3Peeedl1apVmT9/fk444YT61z/60Y9usP7KlSs3uk7btm1TV1eXJBk0aFD96z169MjTTz+dyy67LLW1tdl7770zfvz4nHHGGfX3IercuXN23nnnTc7aunXr/O///m9+97vfZfny5Wnbtm1eeeWVrF27Np/+9Kez++6716/729/+NkcddVT69OmT8ePHv2tbkydPzoABA9KqVavssMMO+fznP/9PnT316KOP5pxzzqk/++ixxx7LwIEDs3jx4rzxxhuZOHFiTjjhhPrP0q5du+y22271IWqPPfZI8tebgvfs2bN+u9///vezbNmyXHvttQ3OAABsnQQmAKCiPfXUU5kxY0ZOOeWUnHrqqRk8eHCeeuqpPPPMM+nfv/+71t/YOj/4wQ9y++23509/+lOWLl1av/4555yTmTNnZvr06VmzZk3uvffeTJgwIbfddlsee+yxzJgxI2PHjk2bNm3ec74HH3wwM2fOzBNPPJEFCxbka1/7WpLk1ltvzSc+8YnMmDEjAwcOzOzZs+vfs2bNmjz44IMZM2ZM1q9f/65tTps2LTfddFOeeOKJTJkyJTfccMMmL4/7m0ceeSR77LFHfWBavHhxmjdvnkcffTRJMnv27Fx44YW57777Mn369EyYMCG77rprli5dmq985Sv51a9+lenTp+exxx7L3nvvvcG2hw4dmlatWuXSSy9tcA4AYOtTlb/ejAkAgC1EVVVVpk6dmhNPPDHz5s0r9zgAAA1yBhMAwBZkn332ybx58zJx4kRxCQCoGM5gAgAAAKAQZzABAAAAUIjABAAAAEAhAhMAAAAAhQhMAAAAABQiMAEAAABQiMAEAAAAQCH/H+ihURnSskcpAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,12))\n",
    "sns.countplot(train['release_weekday'].sort_values(), palette='Dark2')\n",
    "loc = np.array(range(len(train['release_weekday'].unique())))\n",
    "day_labels = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']\n",
    "plt.xlabel('Release Day of Week')\n",
    "plt.ylabel('Number of Movies Release')\n",
    "plt.xticks(loc, day_labels, fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
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     "end_time": "2020-08-19T14:01:55.215959Z",
     "start_time": "2020-08-19T14:01:55.187945Z"
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   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4    1334\n",
       "3     609\n",
       "2     449\n",
       "1     196\n",
       "5     158\n",
       "0     135\n",
       "6     119\n",
       "Name: release_weekday, dtype: int64"
      ]
     },
     "execution_count": 27,
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   ],
   "source": [
    "train['release_weekday'].value_counts()"
   ]
  },
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   "source": [
    "### Highest number of movies released on friday."
   ]
  }
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