investigate-a-dataset-template.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Project: Investigate a Dataset (TMDb_Movies Dataset)\n",
    "\n",
    "## Table of Contents\n",
    "<ul>\n",
    "<li><a href=\"#intro\">Introduction</a></li>\n",
    "<li><a href=\"#wrangling\">Data Wrangling</a></li>\n",
    "<li><a href=\"#eda\">Exploratory Data Analysis</a></li>\n",
    "<li><a href=\"#conclusions\">Conclusions</a></li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='intro'></a>\n",
    "## Introduction\n",
    "\n",
    ">### **Overview**\n",
    ">To complete my Data Analysis project I am using TMDb movies dataset. \n",
    "\n",
    ">This data set contains information about 10 thousand movies collected from The Movie Database (TMDb), including user ratings and revenue. It consist of 21 columns such as imdb_id, revenue, budget, vote_count etc.   \n",
    "\n",
    ">#### **Question that can analyised from this data set**\n",
    "> 1. Movies which had most and least profit\n",
    "> 2. Movies with largest and lowest budgets\n",
    "> 3. Movies with most and least earned revenu.\n",
    "> 4. Movies with longest and shortest runtime values\n",
    "> 5. Average runtime of all the movies.\n",
    "> 6. In which year we had most no.of profitable movies.\n",
    ">----------------------------------------------------------------------\n",
    "> 5. Successful genres (with respest to the profitable movies).\n",
    "> 6. Most frequent cast  (with respest to the profitable movies)\n",
    "> 7. Average budget  (with respest to the profitable movies)\n",
    "> 8. Average revenue  (with respest to the profitable movies)\n",
    "> 9. Average duration of the movie  (with respest to the profitable movies)\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
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   "outputs": [],
   "source": [
    "# Use this cell to set up import statements for all of the packages that you\n",
    "#   plan to use.\n",
    "\n",
    "# Remember to include a 'magic word' so that your visualizations are plotted\n",
    "#   inline with the notebook. See this page for more:\n",
    "#   http://ipython.readthedocs.io/en/stable/interactive/magics.html\n",
    "\n",
    "#importing important files \n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import csv\n",
    "from datetime import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "% matplotlib inline\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='wrangling'></a>\n",
    "## Data Wrangling\n",
    "\n",
    "> After observing the dataset and proposed questions for the analysis we will be keeping only relevent data deleting the unsued data so that we can make our calculation easy and understandable. \n",
    "> .\n",
    "\n",
    "### General Properties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>imdb_id</th>\n",
       "      <th>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>homepage</th>\n",
       "      <th>director</th>\n",
       "      <th>tagline</th>\n",
       "      <th>...</th>\n",
       "      <th>overview</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>135397</td>\n",
       "      <td>tt0369610</td>\n",
       "      <td>32.985763</td>\n",
       "      <td>150000000</td>\n",
       "      <td>1513528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>http://www.jurassicworld.com/</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>The park is open.</td>\n",
       "      <td>...</td>\n",
       "      <td>Twenty-two years after the events of Jurassic ...</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Universal Studios|Amblin Entertainment|Legenda...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>1.392446e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>76341</td>\n",
       "      <td>tt1392190</td>\n",
       "      <td>28.419936</td>\n",
       "      <td>150000000</td>\n",
       "      <td>378436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...</td>\n",
       "      <td>http://www.madmaxmovie.com/</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>What a Lovely Day.</td>\n",
       "      <td>...</td>\n",
       "      <td>An apocalyptic story set in the furthest reach...</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Village Roadshow Pictures|Kennedy Miller Produ...</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>6185</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>3.481613e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>262500</td>\n",
       "      <td>tt2908446</td>\n",
       "      <td>13.112507</td>\n",
       "      <td>110000000</td>\n",
       "      <td>295238201</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Shailene Woodley|Theo James|Kate Winslet|Ansel...</td>\n",
       "      <td>http://www.thedivergentseries.movie/#insurgent</td>\n",
       "      <td>Robert Schwentke</td>\n",
       "      <td>One Choice Can Destroy You</td>\n",
       "      <td>...</td>\n",
       "      <td>Beatrice Prior must confront her inner demons ...</td>\n",
       "      <td>119</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Summit Entertainment|Mandeville Films|Red Wago...</td>\n",
       "      <td>3/18/15</td>\n",
       "      <td>2480</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.012000e+08</td>\n",
       "      <td>2.716190e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>140607</td>\n",
       "      <td>tt2488496</td>\n",
       "      <td>11.173104</td>\n",
       "      <td>200000000</td>\n",
       "      <td>2068178225</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...</td>\n",
       "      <td>http://www.starwars.com/films/star-wars-episod...</td>\n",
       "      <td>J.J. Abrams</td>\n",
       "      <td>Every generation has a story.</td>\n",
       "      <td>...</td>\n",
       "      <td>Thirty years after defeating the Galactic Empi...</td>\n",
       "      <td>136</td>\n",
       "      <td>Action|Adventure|Science Fiction|Fantasy</td>\n",
       "      <td>Lucasfilm|Truenorth Productions|Bad Robot</td>\n",
       "      <td>12/15/15</td>\n",
       "      <td>5292</td>\n",
       "      <td>7.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.839999e+08</td>\n",
       "      <td>1.902723e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>168259</td>\n",
       "      <td>tt2820852</td>\n",
       "      <td>9.335014</td>\n",
       "      <td>190000000</td>\n",
       "      <td>1506249360</td>\n",
       "      <td>Furious 7</td>\n",
       "      <td>Vin Diesel|Paul Walker|Jason Statham|Michelle ...</td>\n",
       "      <td>http://www.furious7.com/</td>\n",
       "      <td>James Wan</td>\n",
       "      <td>Vengeance Hits Home</td>\n",
       "      <td>...</td>\n",
       "      <td>Deckard Shaw seeks revenge against Dominic Tor...</td>\n",
       "      <td>137</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>Universal Pictures|Original Film|Media Rights ...</td>\n",
       "      <td>4/1/15</td>\n",
       "      <td>2947</td>\n",
       "      <td>7.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.747999e+08</td>\n",
       "      <td>1.385749e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       id    imdb_id  popularity     budget     revenue  \\\n",
       "0  135397  tt0369610   32.985763  150000000  1513528810   \n",
       "1   76341  tt1392190   28.419936  150000000   378436354   \n",
       "2  262500  tt2908446   13.112507  110000000   295238201   \n",
       "3  140607  tt2488496   11.173104  200000000  2068178225   \n",
       "4  168259  tt2820852    9.335014  190000000  1506249360   \n",
       "\n",
       "                 original_title  \\\n",
       "0                Jurassic World   \n",
       "1            Mad Max: Fury Road   \n",
       "2                     Insurgent   \n",
       "3  Star Wars: The Force Awakens   \n",
       "4                     Furious 7   \n",
       "\n",
       "                                                cast  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...   \n",
       "1  Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...   \n",
       "2  Shailene Woodley|Theo James|Kate Winslet|Ansel...   \n",
       "3  Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...   \n",
       "4  Vin Diesel|Paul Walker|Jason Statham|Michelle ...   \n",
       "\n",
       "                                            homepage          director  \\\n",
       "0                      http://www.jurassicworld.com/   Colin Trevorrow   \n",
       "1                        http://www.madmaxmovie.com/     George Miller   \n",
       "2     http://www.thedivergentseries.movie/#insurgent  Robert Schwentke   \n",
       "3  http://www.starwars.com/films/star-wars-episod...       J.J. Abrams   \n",
       "4                           http://www.furious7.com/         James Wan   \n",
       "\n",
       "                         tagline      ...       \\\n",
       "0              The park is open.      ...        \n",
       "1             What a Lovely Day.      ...        \n",
       "2     One Choice Can Destroy You      ...        \n",
       "3  Every generation has a story.      ...        \n",
       "4            Vengeance Hits Home      ...        \n",
       "\n",
       "                                            overview runtime  \\\n",
       "0  Twenty-two years after the events of Jurassic ...     124   \n",
       "1  An apocalyptic story set in the furthest reach...     120   \n",
       "2  Beatrice Prior must confront her inner demons ...     119   \n",
       "3  Thirty years after defeating the Galactic Empi...     136   \n",
       "4  Deckard Shaw seeks revenge against Dominic Tor...     137   \n",
       "\n",
       "                                      genres  \\\n",
       "0  Action|Adventure|Science Fiction|Thriller   \n",
       "1  Action|Adventure|Science Fiction|Thriller   \n",
       "2         Adventure|Science Fiction|Thriller   \n",
       "3   Action|Adventure|Science Fiction|Fantasy   \n",
       "4                      Action|Crime|Thriller   \n",
       "\n",
       "                                production_companies release_date vote_count  \\\n",
       "0  Universal Studios|Amblin Entertainment|Legenda...       6/9/15       5562   \n",
       "1  Village Roadshow Pictures|Kennedy Miller Produ...      5/13/15       6185   \n",
       "2  Summit Entertainment|Mandeville Films|Red Wago...      3/18/15       2480   \n",
       "3          Lucasfilm|Truenorth Productions|Bad Robot     12/15/15       5292   \n",
       "4  Universal Pictures|Original Film|Media Rights ...       4/1/15       2947   \n",
       "\n",
       "   vote_average  release_year    budget_adj   revenue_adj  \n",
       "0           6.5          2015  1.379999e+08  1.392446e+09  \n",
       "1           7.1          2015  1.379999e+08  3.481613e+08  \n",
       "2           6.3          2015  1.012000e+08  2.716190e+08  \n",
       "3           7.5          2015  1.839999e+08  1.902723e+09  \n",
       "4           7.3          2015  1.747999e+08  1.385749e+09  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
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   "source": [
    "# Load your data and print out a few lines. Perform operations to inspect data\n",
    "#   types and look for instances of missing or possibly errant data.\n",
    "\n",
    "#loading the csv file and storing it in the variable \"tmbd_data\"\n",
    "tmdb_data = pd.read_csv('tmdb-movies.csv')\n",
    "\n",
    "#printing first five rows with defined columns of tmdb-movies database\n",
    "tmdb_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ### Obsevations from the data set\n",
    ">\n",
    ">1.) No unit of currency is mentioned in the dataset. So for my analysis I will take it as dollar as it is the most used international currency.\n",
    ">\n",
    ">2.) vote_count is different for all the movies, so we cannot directly conculed the popularity of the movies based on the average vote count  \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Cleaning (Removing the unused information from the dataset )\n",
    "\n",
    "> **Important observation regarding this process**\n",
    ">\n",
    "> 1. We need to remove unused column such as id, imdb_id, vote_count, production_company, keywords, homepage etc.\n",
    "> 2. Removing the duplicacy in the rows(if any).\n",
    "> 3. Some movies in the database have zero budget or zero revenue, that is there value has not been recorded so we will be discarding such entries\n",
    "> 4. Changing release date column into date format.\n",
    "> 5. Replacing zero with NAN in runtime column.\n",
    "> 6. Changing format of budget and revenue column."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">** 1. Removing Unused columns**\n",
    ">\n",
    "> **Columns that we need to delete are**  -  id, imdb_id, popularity, budget_adj, revenue_adj, homepage, keywords, overview, production_companies, vote_count and vote_average."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>director</th>\n",
       "      <th>tagline</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>release_date</th>\n",
       "      <th>release_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>150000000</td>\n",
       "      <td>1513528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>The park is open.</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>150000000</td>\n",
       "      <td>378436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>What a Lovely Day.</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>110000000</td>\n",
       "      <td>295238201</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Shailene Woodley|Theo James|Kate Winslet|Ansel...</td>\n",
       "      <td>Robert Schwentke</td>\n",
       "      <td>One Choice Can Destroy You</td>\n",
       "      <td>119</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>3/18/15</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>200000000</td>\n",
       "      <td>2068178225</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...</td>\n",
       "      <td>J.J. Abrams</td>\n",
       "      <td>Every generation has a story.</td>\n",
       "      <td>136</td>\n",
       "      <td>Action|Adventure|Science Fiction|Fantasy</td>\n",
       "      <td>12/15/15</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget     revenue                original_title  \\\n",
       "0  150000000  1513528810                Jurassic World   \n",
       "1  150000000   378436354            Mad Max: Fury Road   \n",
       "2  110000000   295238201                     Insurgent   \n",
       "3  200000000  2068178225  Star Wars: The Force Awakens   \n",
       "\n",
       "                                                cast          director  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...   Colin Trevorrow   \n",
       "1  Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...     George Miller   \n",
       "2  Shailene Woodley|Theo James|Kate Winslet|Ansel...  Robert Schwentke   \n",
       "3  Harrison Ford|Mark Hamill|Carrie Fisher|Adam D...       J.J. Abrams   \n",
       "\n",
       "                         tagline  runtime  \\\n",
       "0              The park is open.      124   \n",
       "1             What a Lovely Day.      120   \n",
       "2     One Choice Can Destroy You      119   \n",
       "3  Every generation has a story.      136   \n",
       "\n",
       "                                      genres release_date  release_year  \n",
       "0  Action|Adventure|Science Fiction|Thriller       6/9/15          2015  \n",
       "1  Action|Adventure|Science Fiction|Thriller      5/13/15          2015  \n",
       "2         Adventure|Science Fiction|Thriller      3/18/15          2015  \n",
       "3   Action|Adventure|Science Fiction|Fantasy     12/15/15          2015  "
      ]
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     "execution_count": 4,
     "metadata": {},
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    }
   ],
   "source": [
    "#creating a list of columb to be deleted\n",
    "del_col=[ 'id', 'imdb_id', 'popularity', 'budget_adj', 'revenue_adj', 'homepage', 'keywords', 'overview', 'production_companies', 'vote_count', 'vote_average']\n",
    "\n",
    "#deleting the columns\n",
    "tmdb_data= tmdb_data.drop(del_col,1)\n",
    "\n",
    "#previewing the new dataset\n",
    "tmdb_data.head(4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **2. Removing the duplicacy in the rows(if any).**\n",
    ">\n",
    ">Lets see how many entries we have in the database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 10865 total entries of movies and 10 no.of columns in it.\n"
     ]
    }
   ],
   "source": [
    "rows, col = tmdb_data.shape\n",
    "#We need to reduce the count of row by one as contain header row also.\n",
    "print('There are {} total entries of movies and {} no.of columns in it.'.format(rows-1, col))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Now removing the duplicate rows if any!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are now 10864 total entries of movies and 10 no.of columns in it.\n"
     ]
    }
   ],
   "source": [
    "tmdb_data.drop_duplicates(keep ='first', inplace=True)\n",
    "rows, col = tmdb_data.shape\n",
    "\n",
    "print('There are now {} total entries of movies and {} no.of columns in it.'.format(rows-1, col))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> So there was a duplicate row and it has been removed now. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">**3. Removing 0's from budget and the revenue columns**\n",
    ">\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "So after removing such entries, we now have only 3853 no.of movies.\n"
     ]
    }
   ],
   "source": [
    "# creating a seperate list of revenue and budget column\n",
    "temp_list=['budget', 'revenue']\n",
    "\n",
    "#this will replace all the value from '0' to NAN in the list\n",
    "tmdb_data[temp_list] = tmdb_data[temp_list].replace(0, np.NAN)\n",
    "\n",
    "#Removing all the row which has NaN value in temp_list \n",
    "tmdb_data.dropna(subset = temp_list, inplace = True)\n",
    "\n",
    "rows, col = tmdb_data.shape\n",
    "print('So after removing such entries, we now have only {} no.of movies.'.format(rows-1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **4. Changing the release date column into standard date format**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "tmdb_data.release_date = pd.to_datetime(tmdb_data['release_date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>director</th>\n",
       "      <th>tagline</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>release_date</th>\n",
       "      <th>release_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>150000000.0</td>\n",
       "      <td>1.513529e+09</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>The park is open.</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-06-09</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>150000000.0</td>\n",
       "      <td>3.784364e+08</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>What a Lovely Day.</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>110000000.0</td>\n",
       "      <td>2.952382e+08</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Shailene Woodley|Theo James|Kate Winslet|Ansel...</td>\n",
       "      <td>Robert Schwentke</td>\n",
       "      <td>One Choice Can Destroy You</td>\n",
       "      <td>119</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-03-18</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        budget       revenue      original_title  \\\n",
       "0  150000000.0  1.513529e+09      Jurassic World   \n",
       "1  150000000.0  3.784364e+08  Mad Max: Fury Road   \n",
       "2  110000000.0  2.952382e+08           Insurgent   \n",
       "\n",
       "                                                cast          director  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...   Colin Trevorrow   \n",
       "1  Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...     George Miller   \n",
       "2  Shailene Woodley|Theo James|Kate Winslet|Ansel...  Robert Schwentke   \n",
       "\n",
       "                      tagline  runtime  \\\n",
       "0           The park is open.      124   \n",
       "1          What a Lovely Day.      120   \n",
       "2  One Choice Can Destroy You      119   \n",
       "\n",
       "                                      genres release_date  release_year  \n",
       "0  Action|Adventure|Science Fiction|Thriller   2015-06-09          2015  \n",
       "1  Action|Adventure|Science Fiction|Thriller   2015-05-13          2015  \n",
       "2         Adventure|Science Fiction|Thriller   2015-03-18          2015  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# printing the changed dataset\n",
    "tmdb_data.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">**5. Replacing zero with NAN in runtime column.**\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#replacing 0 with NaN of runtime column in the dataset\n",
    "tmdb_data['runtime'] =tmdb_data['runtime'].replace(0, np.NAN)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">**6. Changing format of budget and revenue column.**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Checking the current format of columns in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget                   float64\n",
       "revenue                  float64\n",
       "original_title            object\n",
       "cast                      object\n",
       "director                  object\n",
       "tagline                   object\n",
       "runtime                    int64\n",
       "genres                    object\n",
       "release_date      datetime64[ns]\n",
       "release_year               int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#printing the data type of the data set\n",
    "tmdb_data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget                     int64\n",
       "revenue                    int64\n",
       "original_title            object\n",
       "cast                      object\n",
       "director                  object\n",
       "tagline                   object\n",
       "runtime                    int64\n",
       "genres                    object\n",
       "release_date      datetime64[ns]\n",
       "release_year               int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "change_type=['budget', 'revenue']\n",
    "#changing data type\n",
    "tmdb_data[change_type]=tmdb_data[change_type].applymap(np.int64)\n",
    "#printing the changed information\n",
    "tmdb_data.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='eda'></a>\n",
    "## Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **1. Calculating the profit of the each movie**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>profit_earned</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>director</th>\n",
       "      <th>tagline</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>release_date</th>\n",
       "      <th>release_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>150000000</td>\n",
       "      <td>1513528810</td>\n",
       "      <td>1363528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>The park is open.</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-06-09</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>150000000</td>\n",
       "      <td>378436354</td>\n",
       "      <td>228436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>What a Lovely Day.</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget     revenue  profit_earned      original_title  \\\n",
       "0  150000000  1513528810     1363528810      Jurassic World   \n",
       "1  150000000   378436354      228436354  Mad Max: Fury Road   \n",
       "\n",
       "                                                cast         director  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...  Colin Trevorrow   \n",
       "1  Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...    George Miller   \n",
       "\n",
       "              tagline  runtime                                     genres  \\\n",
       "0   The park is open.      124  Action|Adventure|Science Fiction|Thriller   \n",
       "1  What a Lovely Day.      120  Action|Adventure|Science Fiction|Thriller   \n",
       "\n",
       "  release_date  release_year  \n",
       "0   2015-06-09          2015  \n",
       "1   2015-05-13          2015  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#insert function with three parameters(index of the column in the dataset, name of the column, value to be inserted)\n",
    "tmdb_data.insert(2,'profit_earned',tmdb_data['revenue']-tmdb_data['budget'])\n",
    "\n",
    "#previewing the changes in the dataset\n",
    "tmdb_data.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 1 : Movies which had most and least profit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1386</th>\n",
       "      <th>2244</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>budget</th>\n",
       "      <td>237000000</td>\n",
       "      <td>425000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>revenue</th>\n",
       "      <td>2781505847</td>\n",
       "      <td>11087569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>profit_earned</th>\n",
       "      <td>2544505847</td>\n",
       "      <td>-413912431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>original_title</th>\n",
       "      <td>Avatar</td>\n",
       "      <td>The Warrior's Way</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cast</th>\n",
       "      <td>Sam Worthington|Zoe Saldana|Sigourney Weaver|S...</td>\n",
       "      <td>Kate Bosworth|Jang Dong-gun|Geoffrey Rush|Dann...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>James Cameron</td>\n",
       "      <td>Sngmoo Lee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tagline</th>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>Assassin. Hero. Legend.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>runtime</th>\n",
       "      <td>162</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>genres</th>\n",
       "      <td>Action|Adventure|Fantasy|Science Fiction</td>\n",
       "      <td>Adventure|Fantasy|Action|Western|Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>release_date</th>\n",
       "      <td>2009-12-10 00:00:00</td>\n",
       "      <td>2010-12-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>release_year</th>\n",
       "      <td>2009</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                             1386  \\\n",
       "budget                                                  237000000   \n",
       "revenue                                                2781505847   \n",
       "profit_earned                                          2544505847   \n",
       "original_title                                             Avatar   \n",
       "cast            Sam Worthington|Zoe Saldana|Sigourney Weaver|S...   \n",
       "director                                            James Cameron   \n",
       "tagline                               Enter the World of Pandora.   \n",
       "runtime                                                       162   \n",
       "genres                   Action|Adventure|Fantasy|Science Fiction   \n",
       "release_date                                  2009-12-10 00:00:00   \n",
       "release_year                                                 2009   \n",
       "\n",
       "                                                             2244  \n",
       "budget                                                  425000000  \n",
       "revenue                                                  11087569  \n",
       "profit_earned                                          -413912431  \n",
       "original_title                                  The Warrior's Way  \n",
       "cast            Kate Bosworth|Jang Dong-gun|Geoffrey Rush|Dann...  \n",
       "director                                               Sngmoo Lee  \n",
       "tagline                                   Assassin. Hero. Legend.  \n",
       "runtime                                                       100  \n",
       "genres                  Adventure|Fantasy|Action|Western|Thriller  \n",
       "release_date                                  2010-12-02 00:00:00  \n",
       "release_year                                                 2010  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pprint\n",
    "#defining the function\n",
    "def calculate(column):\n",
    "    #for highest earned profit\n",
    "    high= tmdb_data[column].idxmax()\n",
    "    high_details=pd.DataFrame(tmdb_data.loc[high])\n",
    "    \n",
    "    #for lowest earned profit\n",
    "    low= tmdb_data[column].idxmin()\n",
    "    low_details=pd.DataFrame(tmdb_data.loc[low])\n",
    "    \n",
    "    #collectin data in one place\n",
    "    info=pd.concat([high_details, low_details], axis=1)\n",
    "    \n",
    "    return info\n",
    "\n",
    "#calling the function\n",
    "calculate('profit_earned')\n",
    "    \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Column with id 1386 shows the highest earned profit i.e 2544505847\t.\n",
    ">\n",
    "> Whereas the column with id 2244 shows the lowest earned profit i.e -413912431"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 2  : Movies with largest and lowest budgets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2244</th>\n",
       "      <th>2618</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>budget</th>\n",
       "      <td>425000000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>revenue</th>\n",
       "      <td>11087569</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>profit_earned</th>\n",
       "      <td>-413912431</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>original_title</th>\n",
       "      <td>The Warrior's Way</td>\n",
       "      <td>Lost &amp; Found</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cast</th>\n",
       "      <td>Kate Bosworth|Jang Dong-gun|Geoffrey Rush|Dann...</td>\n",
       "      <td>David Spade|Sophie Marceau|Ever Carradine|Step...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>Sngmoo Lee</td>\n",
       "      <td>Jeff Pollack</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tagline</th>\n",
       "      <td>Assassin. Hero. Legend.</td>\n",
       "      <td>A comedy about a guy who would do anything to ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>runtime</th>\n",
       "      <td>100</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>genres</th>\n",
       "      <td>Adventure|Fantasy|Action|Western|Thriller</td>\n",
       "      <td>Comedy|Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>release_date</th>\n",
       "      <td>2010-12-02 00:00:00</td>\n",
       "      <td>1999-04-23 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>release_year</th>\n",
       "      <td>2010</td>\n",
       "      <td>1999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                             2244  \\\n",
       "budget                                                  425000000   \n",
       "revenue                                                  11087569   \n",
       "profit_earned                                          -413912431   \n",
       "original_title                                  The Warrior's Way   \n",
       "cast            Kate Bosworth|Jang Dong-gun|Geoffrey Rush|Dann...   \n",
       "director                                               Sngmoo Lee   \n",
       "tagline                                   Assassin. Hero. Legend.   \n",
       "runtime                                                       100   \n",
       "genres                  Adventure|Fantasy|Action|Western|Thriller   \n",
       "release_date                                  2010-12-02 00:00:00   \n",
       "release_year                                                 2010   \n",
       "\n",
       "                                                             2618  \n",
       "budget                                                          1  \n",
       "revenue                                                       100  \n",
       "profit_earned                                                  99  \n",
       "original_title                                       Lost & Found  \n",
       "cast            David Spade|Sophie Marceau|Ever Carradine|Step...  \n",
       "director                                             Jeff Pollack  \n",
       "tagline         A comedy about a guy who would do anything to ...  \n",
       "runtime                                                        95  \n",
       "genres                                             Comedy|Romance  \n",
       "release_date                                  1999-04-23 00:00:00  \n",
       "release_year                                                 1999  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we will call the same function **calculate(column)** again for this analysis\n",
    "calculate('budget')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Column with id 2244 shows the largest budget i.e 425000000\tdollar.\n",
    ">\n",
    "> Whereas the column with id 2618 shows the smallest budget i.e 1 dollar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 3 : Movies with most and least earned revenue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "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>1386</th>\n",
       "      <th>5067</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>budget</th>\n",
       "      <td>237000000</td>\n",
       "      <td>6000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>revenue</th>\n",
       "      <td>2781505847</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>profit_earned</th>\n",
       "      <td>2544505847</td>\n",
       "      <td>-5999998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>original_title</th>\n",
       "      <td>Avatar</td>\n",
       "      <td>Shattered Glass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cast</th>\n",
       "      <td>Sam Worthington|Zoe Saldana|Sigourney Weaver|S...</td>\n",
       "      <td>Hayden Christensen|Peter Sarsgaard|ChloÃ« Sevi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>James Cameron</td>\n",
       "      <td>Billy Ray</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tagline</th>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>runtime</th>\n",
       "      <td>162</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>genres</th>\n",
       "      <td>Action|Adventure|Fantasy|Science Fiction</td>\n",
       "      <td>Drama|History</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>release_date</th>\n",
       "      <td>2009-12-10 00:00:00</td>\n",
       "      <td>2003-11-14 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>release_year</th>\n",
       "      <td>2009</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                             1386  \\\n",
       "budget                                                  237000000   \n",
       "revenue                                                2781505847   \n",
       "profit_earned                                          2544505847   \n",
       "original_title                                             Avatar   \n",
       "cast            Sam Worthington|Zoe Saldana|Sigourney Weaver|S...   \n",
       "director                                            James Cameron   \n",
       "tagline                               Enter the World of Pandora.   \n",
       "runtime                                                       162   \n",
       "genres                   Action|Adventure|Fantasy|Science Fiction   \n",
       "release_date                                  2009-12-10 00:00:00   \n",
       "release_year                                                 2009   \n",
       "\n",
       "                                                             5067  \n",
       "budget                                                    6000000  \n",
       "revenue                                                         2  \n",
       "profit_earned                                            -5999998  \n",
       "original_title                                    Shattered Glass  \n",
       "cast            Hayden Christensen|Peter Sarsgaard|ChloÃ« Sevi...  \n",
       "director                                                Billy Ray  \n",
       "tagline                                                       NaN  \n",
       "runtime                                                        94  \n",
       "genres                                              Drama|History  \n",
       "release_date                                  2003-11-14 00:00:00  \n",
       "release_year                                                 2003  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we will call the same function **calculate(column)** again for this analysis\n",
    "calculate('revenue')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Column with id 1386 shows the largest revenue earned i.e 2781505847\t dollar.\n",
    "\n",
    "Whereas the column with id 5067 shows the smallest revenue earned i.e 2 dollar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 4 : Movies with longest and shortest runtime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2107</th>\n",
       "      <th>5162</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>budget</th>\n",
       "      <td>18000000</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>revenue</th>\n",
       "      <td>871279</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>profit_earned</th>\n",
       "      <td>-17128721</td>\n",
       "      <td>-5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>original_title</th>\n",
       "      <td>Carlos</td>\n",
       "      <td>Kid's Story</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cast</th>\n",
       "      <td>Edgar RamÃ­rez|Alexander Scheer|Fadi Abi Samra...</td>\n",
       "      <td>Clayton Watson|Keanu Reeves|Carrie-Anne Moss|K...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>Olivier Assayas</td>\n",
       "      <td>Shinichiro Watanabe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tagline</th>\n",
       "      <td>The man who hijacked the world</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>runtime</th>\n",
       "      <td>338</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>genres</th>\n",
       "      <td>Crime|Drama|Thriller|History</td>\n",
       "      <td>Science Fiction|Animation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>release_date</th>\n",
       "      <td>2010-05-19 00:00:00</td>\n",
       "      <td>2003-06-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>release_year</th>\n",
       "      <td>2010</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                             2107  \\\n",
       "budget                                                   18000000   \n",
       "revenue                                                    871279   \n",
       "profit_earned                                           -17128721   \n",
       "original_title                                             Carlos   \n",
       "cast            Edgar RamÃ­rez|Alexander Scheer|Fadi Abi Samra...   \n",
       "director                                          Olivier Assayas   \n",
       "tagline                            The man who hijacked the world   \n",
       "runtime                                                       338   \n",
       "genres                               Crime|Drama|Thriller|History   \n",
       "release_date                                  2010-05-19 00:00:00   \n",
       "release_year                                                 2010   \n",
       "\n",
       "                                                             5162  \n",
       "budget                                                         10  \n",
       "revenue                                                         5  \n",
       "profit_earned                                                  -5  \n",
       "original_title                                        Kid's Story  \n",
       "cast            Clayton Watson|Keanu Reeves|Carrie-Anne Moss|K...  \n",
       "director                                      Shinichiro Watanabe  \n",
       "tagline                                                       NaN  \n",
       "runtime                                                        15  \n",
       "genres                                  Science Fiction|Animation  \n",
       "release_date                                  2003-06-02 00:00:00  \n",
       "release_year                                                 2003  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we will call the same function **calculate(column)** again for this analysis\n",
    "calculate('runtime')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Column with id 2107 shows the longest runtime i.e 338 minutes.\n",
    ">\n",
    "> Whereas the column with id 5162 shows the shortest runtime i.e 15 minutes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 5 : Average runtime of the movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# defining a function to find average of a column\n",
    "def avg_fun(column):\n",
    "    return tmdb_data[column].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "109.22029060716139"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#calling above function\n",
    "avg_fun('runtime')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">So the average runtime a movie is 109 minutes. Lets analyse it in a visual form  i.e. by graphical approach.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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JtuMMZkpVfQ94Os3sTxfSrH59QFUd01Pt3cBhwBE0a1TcF9ixZ40IgL1oEp7T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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1ae69efc5f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plotting a histogram of runtime of movies\n",
    "\n",
    "#giving the figure size(width, height)\n",
    "plt.figure(figsize=(9,5), dpi = 100)\n",
    "\n",
    "#On x-axis \n",
    "plt.xlabel('Runtime of the Movies', fontsize = 15)\n",
    "#On y-axis \n",
    "plt.ylabel('Nos.of Movies in the Dataset', fontsize=15)\n",
    "#Name of the graph\n",
    "plt.title('Runtime of all the movies', fontsize=15)\n",
    "\n",
    "#giving a histogram plot\n",
    "plt.hist(tmdb_data['runtime'], rwidth = 0.9, bins =35)\n",
    "#displays the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> The distribution of the above formed graph is positively skewed or right skewed! Most of the movies are timed between 80 to 115 minutes. Almost 1000 and more no.of movies fall in this criteria. \n",
    ">\n",
    ">**Lets analyse more about runtime of the movie using different kind of plots i.e Box Plot and Data Point Plot**\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\antra\\Anaconda3\\lib\\site-packages\\seaborn\\categorical.py:462: FutureWarning: remove_na is deprecated and is a private function. Do not use.\n",
      "  box_data = remove_na(group_data)\n"
     ]
    },
    {
     "data": {
      "image/png": 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aQ9a5efPmg/ukTZs2HVzH8Lajy7j00ktz/vnn53nPe97YdY2b/+yzzz64jZdeemk2bdp0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\nA+yH1aYAWN6UAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1ae6a699518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "#The First plot is box plot of the runtime of the movies \n",
    "plt.figure(figsize=(9,7), dpi = 105)\n",
    "\n",
    "#using seaborn to generate the boxplot\n",
    "sns.boxplot(tmdb_data['runtime'], linewidth = 3)\n",
    "#diplaying the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VanHnszvEX4rnXtY9OgV2okb5Gtp7KjtVJswtjPOP9cvFf1DlAyxNLA3+DIQQ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Mj8G5CFkswXS0x6DH/e+5O+dftiaWSJmYEZTR2a4mfnR2JGokgkVRD3Og7XKq5az/Svrk51Kisv\nY0i9IThXdubs47PkFuXSyqUVY/3HUtX47zqfxIxESstL8bbxRqlQsuXuFpFIqmD/vf2ce3KOYJdg\nLj69KBJJFdx8eRNnC2et99bUoSl96vZhZMORnH9ynkoGlWhds7XQryevOI/t8du5+uwqNiY2DPYb\njJulm4YNdwVHHh6hvl19br68qTEX5hEmNE39qs5XbLqzSWONt7U33jbq//Ss01PrfUsx5PAQttzd\nIvy86c4mDj84TLhnuNY95apy9oTvYdSxUYKgdbFwYXX71Rx5cITEN4m4VXGjf93+bI0T26U3qNaA\nr+t9za/Xf+X7098LQnPWxVksb7tciMJI4VHVg8Q3iRrGDQtbLUSpUNJ0Y1OuPb8mjM84P4O1Hddq\nNA2uIP19Ohl5GdiZ2TE/ZD6X0y6LTDp0FDqsaLeCzPxMWm9rTdKbJNG9nO53WqO579qbazXSI0Ht\n6Lf17lbG+o/V+vk+peuurkSnRws/ZxdkM+HkBOzM7Ojh1eMfnyMjIyMjI/N/G1koyXyRTDgxgV+j\nxWlm3zb5Vkhp+rgvzae8ePcCj6oeQn1RBTUq12Cg70AO3DvA+BPjefbuGaDuJbSl6xbq2tQV1sam\nxzLo0CChEN/FwoXVHVZzIvmE1usef3ScYJfgz655X/Qe1yquJGcni8b9bP0EowlbU1t6efcSzb/J\ne0Pzzc1Fn2np9aX80fEPSac8UEdopgZOZfyJ8aS/TxfGPa08Wd72b+vyRa0XcfvVbZHluY2JDdvC\ntmn9HB8Tkx7Di/cvqGdXD0dzRxIzEkUiqYKsgizJNMoKWtdoTZfaXehQqwOx6bHoKHWoYlSFkK0h\noohPVaOqLGm9hMvPLqvtwV3bM7TeUB5kPWDCyQmiM4vLihl9bPRnUy09rDy4EXiDdbfWcSntElbG\nVgytN5QAhwCGHxkuEkkAz949Y8rZKRjoGEimz5npmwnW78VlxSxru4xbL29xP/M+DpUcGN5gOL62\nvnTe2VkkkgDuZd5j+F/D+av3X6Lx+5n3td7/5+Y+5frz6yKR9DHLry+XhZKMjIyMzH8UslCS+eI4\n/+S8hkgC+OXaL3Rx70KQUxBGukZa95samHKo1yFmnp/Jvnv7KCsvI6x2GD+3/JknOU/osa+HKP3r\nzqs7tN7WmpRxKZjqm5KVn0XbyLaiiMGTnCd03dWV1jVba7/u/5Me97k0OQsjCy6FXWL2xdkcuH8A\nHaUOPTx7ML35dCFyBGpjBn0dfaF25OeLP2sIv9LyUiaenIiTuZNkLZKxnjGtarTi0dhH7EvaR8rb\nFLytvelSu4vIpvzQ/UOE1Q4jrHYY5apynMyd6Fmnp2DHrY203DS67e4mRKx0FDoM9huMr62v1j3J\n2cl0qtWJIw+PiMa9rb0FW3FdpS5NHJoA0GFHB420uMyCTPYm7eX60Oui8S13NMUZgAoV5obmKFCg\nQiWaszK2IsIzgsdvH3P71W1uv7yNlYkVt1/exr+6P9vjt0ueGfc6ju4e3dl/b7/G3Nf1vhYMOi6n\nqQ0z9JR6jGwwkmXtlqFUKMkuyNYq9o8nHycrP0twMwRwt9TeMPdzzXQ/5cnbJ1rntFmhy8jIyMjI\n/FuRhZLMF4c2pzCAPYl7CHIKIsIrgm9PfStpH967Tm+sTazpUrsLJeUllKvK6Vq7K9XMqjHr4izJ\nGpmMvAx2JexiaL2hbL27VTKtqqisCF2F9J+kAoXQTLaXdy9mXJghadrQ17svtqa2/NbhN37r8JvG\nfFRqFJNOTyI6PRoDHQN6ePVgadulki/kALlFufTx7sPqG6s15kY2GCnUrvTz6acxfyXtCp12dhJ9\n1pbOLfmr91//pUgC6LG3hyitr0xVxrpb6+hdp7fWPdYm1uzvsZ+1N9eyK2EXRWVFdKrVCU8rT9pE\ntiH6eTTVzKoxosEIRjccrTU6F50eTWpOKk4WTsKYtlQ4UIvXtR3XMunMJKFWqZZlLXZ028GTnCcE\nbAwQnBDT36cz5vgY4l/Hk1eSp/XMMY3GYKRnxM74nZSpytBT6jHAZwDzW80neEuwyHK8pLyEFTEr\ncDR35NuAb8krzpP8/QB1CuKH4g8ioTS8wXBWxqzUcPSzNrGmv09/rff4KZ/W3H2Mj63PPz5HRkZG\nRkbm34AslGS+OD7XOLSi0N/W1JZ1ndYx9MhQkfD5qs5XDPAdwNDDQ9lwe4MwvunOJr6q8xVv8t5o\nPbviG/UnOdq/dUehTgH85dovwpCOQocVoSuEvkQ1KtdgTYc1jD42WnRv4/3Hi+y8PyXudRxtI9tS\nWFoIqIXZtrhtGulZnxLqFoq3jTcLLi8gNTeVqsZVGdNwDNOaTdO6p6y8jF77e2mIi/NPzzMnag7z\nQuYJY3df3WVVzCoeZj/Es6on4/zHUVRWpDWF6/Kzy1ibWEumBA7xG4Kejh5jGo0R0ihPpZwidHuo\nIBzS36cz/fx0HmU90iomQNNRLsQlhG1x0umCIS4h9PLuRahbKBtvb8TC0IIR9Uegr6vPV/u+krSL\nX3d7HU3sm2ik3oE6EtXEvgm2prboKfVIzEjE19aXSU0n8SDzgUZfpgpW31jNtwHf4mDuIJkeClC7\nam2RAARwNHfkVL9TjDk2RhCnQY5BrO6w+rM2+p9Sx7oOnd07c/jBYdG4UqFkctPJ//gcGRkZGRmZ\nfwOyUJL54ujk3omNdzZKznV27wxAQkYCb/Lf8FPznyguK0aFinau7QhwCODck3MikVTBroRddHHX\n7tbmY6P+Rv3jWiWpNT+1+IkhfkM4/OAw+jr6hHuGC/bVAJfTLvPy/UumBU1DqVSip9SjU61OeFl7\nCWsSMxI59OAQOgodwj3DqVmlJsuuLxNE0sfcfHlTMl0N1P2kQlxCMNIzYnj94eQWqXsJfeyctjN+\nJ8ujl5OSnYK3jTeTm05GX0dfqNH6lMi4SEEoHX90nK67uwqiJCo1ii13t/BTi5+0PqPXH15zfsB5\nuu3pxqsPrwD1i/jYRmNpWL0hK6NXUtmoMl1rd8VU35Q5UXMkBdH2+O00rNZQ0ojB08oTN0s3ikqL\nOHj/IE9ynuBp5Umjao2IeSE22whwCCDcM5wlV5cw/fx04RkvuLyAXeG7hPS4TylXldO2Zlvuvr4r\nak6sQMHCVgu5lHaJTjs7CefFvIhhe/x2fm75s9Znk/7u71qxJW2W0HVXV1FUVFepy+LWYjv2+Nfx\nLLq6SIi2rQpdRXfP7tia2mq9zufY2X0nU85MYfOdzbwvfk9dm7rMaTlHsjmyjIyMjIzMvxlZKMl8\ncXR270xY7TAO3D8gGg/3DCfULZRRR0ex5sYaYdxAx4DNXTcT4KBu2Hrgnnjfx+gqdalkUEnDQax2\n1dp08+gGQG/v3sy7NE8jsmRpZMnw+sMBtQGAh5WHaL60vJSe+3qK7KANdQ3Z0W2HSCRNOTOFhVcW\nCj9PPTuVha0WEv86Xut9+9n6kZydLIpA6Cp1WdtxreBep1AoNKILK6JXMP7E37bPF55e4OLTi5+N\nHlREV1QqFRNOTtCI3BSUFhAZFylp5Q3QxKEJTRyakDohlZPJJ8kuyKaZUzPmXpqL1+q/n4O5gTl7\nI/ZKuvKBOpWvd53ePMx6SG5RrjBupGvEytCV3M+8T5ttbUSCr55tPX4I+oETySdQoKC7R3fG+Y/j\n/NPzfH/6e9H5Lz+8pPPOzjiaO4rMLj4mwCGAG1/fYPHVxcSkx1Cjcg2+afINLZxb4PGbh4awzSvJ\nY1vcNvSUepJpoY2qNxL+dx3rOmzuupm/Hv7Fw6yHuFd1Z4L/BBpWbyisufniJs03NxdSAB9lP+Ji\n6kWyC7KZ3ny65D1rIyMvg1kXZvHn/T9RoKBf3X583/T7zzoxysjIyMjI/JuRhZLMF4dSoWRvxF72\nJu3lz3t/olCoX3jDPcPZm7hXJJJAnaI24OAAWjq3xMbUBoVCofXsSgaVONf/HJPOTOLck3Po6+jT\n3aM7v7T5BT0dPUBtgnBh4AW+OfkNhx4coqy8jDY127CkzRLszOy0nv37jd81euYUlhbS70A/0l3S\nMTc059yTcyKRBGqzgUlnJtGmRhutZ9e1qcvkwMlExkVy9dlVbE1tGew3mFqWtYQ1ca/jiH8dj0tl\nFwIcAigsLeTni5rRDRUqDtw/gLGesShSUkGoWygAKW9TeJj1UPJ+4jPiGdlgpMa/ha5Sl5nNZwKg\nr6MvpBquv7VeI8qXW5RLxN4IqplV03ABrCC4RjDdPLvx+43fSchIwK2KGyMajMDN0o2G6xpqRMVu\nvbqFn50fN4eJxdfam2slz88tysXb2pv4DE2R6mLhQrBLMAuvLOTg/YO8LXxLcnYyNiY2WBlbaXWb\nu/PqDkP9hrL+9nrRuI5Ch+nNppOWm8agQ4M49+QcoE4jnRc8j0F+gzTOmnlhpmSd1PzL8xndaDRV\njKpI3sOnfCj+QLNNzXiQ9UAYW31jNRdSL3Dj6xuC2JaRkZGRkflPQvl/+wZkZP5vkFOYQ0x6DDHp\nMUQ/jyYmPYacwhytNSjFZcWCCUR3j+5azw33DKd+tfqc7X+W/B/yeT/1PTu67xAE0J1XdwjbHYbP\n7z7ceXWH6c2mkzsllxN9T1DHug6gbv45+NBgrBZbUX1pdb49+S25hblaHdLySvI4eP8gANvjpNcA\nWJlYoVRo/snXqFyDzu6dMdYzZlj9YWzuupkFrRYIIimvOI+OOzri87sPfQ/0penGpjRa14graVfI\nKsiSvNaDrAf8GPSj5j0YW/FT858APmvooFQomRc8j1Whq/C08sTcwJzWNVqzv8d+jjw4gvsqd7zX\neDMnag75JfmSduGgFipN7JtIzgU6BlLXpi73M+8LvwsxL2JIyEjgfuZ9bry4IblvR/wOysrLRGOv\nP7yWXAtq17gR9UeInr2LhQsHvzrIb7G/8eO5H4VarqKyItbfXs+M8zM++2wWtV7E4taLcbFwQV9H\nn0DHQI73OU5IjRBCt4cKIgnUDWCHHB7CqZRTGmedf3pe8hoFpQVcf35dck6KbXe3iURSBUlvktgR\nv+MfnyMjIyMjI/NvQo4oyXxx5Jfk03xzc6GHEaitwU8/Pk0lg0pa970vUjuCNXduzqgGozSc4Ab4\nDCDUNVT4+dNv0RMzEgnaFCSknuUU5jDzwkzuZd5jZ/edAGTlZ9F0Y1NRJGPp9aVEpUVRVKrZU+fj\nzwR81kWtsmFlIsMi+f7090IqWKBjIJu7bBaiXVJMPjNZw2o69kUss6Nmo1QoJet/TPVN+S7gOxpW\na8gft/7g5fuXNLFvwjj/cUK9VTWzarRwbsGFpxc09nes1RELIwtGNxrN6EajAcgtzKXR+kaiKFRC\nRgJnHp8htzBX44wK/Kv7Y2dqx4qYFUIqWwvnFuzsvpN9SfvosbeHYOv9Ou81l9MuMzVwqtbzCkoL\nKC0vFdVpNXVoqtVgIcgxiKaOTaldtTaHHxzGztSOmS1m4mbpRqed0uYbhx4colH1RpLNh9u5tqOy\nUWW6eXTjbcFb0t+n06h6IxrbN+Z0ymlJcw4VKn6N/pU2NcVRxSpGVSSjfhVz/5Srz69qnbv2/BpD\n6g35x2fJyMjIyMj8W5CFkswXR2RcpEgkVRD3Oo6w2mFa97VzbQdASnYK/vb+OJo7kvYuDZVKRVjt\nMFEPpNcfXnPm8RkMdQ0JdQvFWM+YBVcWSLqf7UrYxbSgaXhZe7H25lpJE4QbL27Qxb2LZAqXUqEU\n7q29W3ut9uft3doT6hZKhFcESW+SqGRQSVQ/8jTnKcuuLePq86vYmNgwvP5w2rm20xqtiUqNolWN\nVpx+fFpjboDPAPR19Glds7XoueQU5jD74myOPjqKkZ4RIS4hPHn7RNSnya2KG8vaLON0ymlKy0tp\n7twcYz1j1t9aL5mqdzH1Ip3dO0s+G4BWNVrhXtWdnl49OfjgIO6W7vSp2weVSsWP537U6H0EsPH2\nRmxMbHidpxkpauHcAgNdA8rKyziVcoqMvAw6uXdi893NGk58IS4h1LOrR8CGAFGt1J6kPWzqskmj\nh1MFZaoyxvuP5/vT3/Pi/Qth3NnCmVWhqzjy4Ajhe8OFGq4td7ew9NrSzwoSqT5Gg30H83OUZvqk\np3bFFfMAACAASURBVJUnje0bk/QmiRXRK0h8k4hbFTfGNhqLn52fxnpbE+3GDzYmNlrnZGRkZGRk\n/s3IQknmi0ObCxmAsa6xpK1yf5/++Nn5MezIMNbfWi+8XDtUcuBwr8OiJqgLLy9kxoUZwkushaEF\n28K2ce2Zpg10BdefX8fL2kvSKroCO1M7XKu4atTbfNfkO1wquwBq+/KNtzdyMfWiaE0X9y6CmNJV\n6mo47z3MekjAhgBRKt3RR0eZ0WyGpLgDdZRictPJFJYWcintkjDetXZXFrVepLH+XdE7gjYFkZCR\nIIxdeHqBbrW7MTd4Lo+yH+Fp5YmxnjEBGwMEkWJhaMGKdis0PtPH2JrYUt2suoZpwvD6w3Gt4sqQ\nQ0PYfHezEP1acGUBGzpv0Foj9TrvNQtCFjD17FSRkDLWM2Z+yHziXsfReWdnQeBVGDsY6RlxMuUk\nJnom9K3bl6mBU/n54s8ahhIl5SWMOjaKGhY1eJyjKWD0lHq0qtGKh2MesiNhBwkZCfja+tKrTi+U\nCiVNNjTRMLpIeZvCpdRLGmdV4G2t2ePox2Y/kvAmQVT75mzhzN6IvUSlRtEush0FpQWA+u8mMi6S\n/T32a9jQD/YbzPLo5Ro9xPSUepK1UTIyMjIyMv8JyEJJ5ovD2sRa65y9uT0r269kVcwqjiUfw1Tf\nlD7efejv05/fYn5j3a11ovXP3j2j666upIxLQUepw9nHZ5lydopoTU5hDj329sDbxpuUtymS162w\nYv7cN/M1q9RkbshcVseu5uyTs1gYWjDQZyBdav9tSV5QUsCMZjO4/Owyl9IuoaPQoYdXD/r79BdM\nKIpKi7j18haVDCoJbnmzLs6SrDdadHURdazqkPAmQWPO0siSQMdAogZFcevlLVKyU6hjXQcPKw9U\nKhU3X9ykXFVO/Wr1USqU/HHzD5FIquDP+38ysclE+tTtQ/q7dNxWugkv5xXPb+ChgXR066j12Thb\nOBM9NJql15b+/Wx8BzLAZwALLi/QsINPyEhg2JFhGOoaSlqmKxVKBvkNIsAhgFWxq3jy9gm+tr5M\nbDwR96ruuK5wFUXBVKjYd28fy9ouY2vYVtFZe5P2St7zu6J39KrTS9IIYqDvQKyMrVh4ZSHLry/n\ndd5r7CvZ867wHXVt6kpGugCuPrtKoGOgxpcBeko9vgv4TjT28v1Lttzdgo2JDTObzcTKxApnC2fa\nurZFV6lLw3UNRf8OoBZ435z6ho61OopMTTysPNjadSujjo0SGu5WMarC2o5rca3iKnmvMjIyMjIy\n/3ZkoSTzxTHIdxDLry+nTCUuyNdV6jLIdxBlqjKKyoooKSuhuKxY3UdJpdLaeyk1N5Uzj8/Q1rWt\nZH8lUNe1uFZxlaw5cTJ3oq1rWwCG1R/GhtsbNNLBjHSN6Fe3H1WMqjCt2TTJZq8zzs/gl2u/CDUn\nbWu2ZWvYVpEw3Hh7I5PPTCYzPxOAenb1iAyLlCz0B7WrXmf3ztzLvKfxvGY2n4mBroFwTj27eoA6\nSjTk8BAh1cvJ3InfO/4umaJXwcnkkwQ6BrL17laNl3NQ9xz6uCboY/R19Onn0w99HX1M9E0w0TfB\nVN8UEz0TFAoFf9z6Q3Lf3dd36eLehUMPDmnMdXHvgrWJNQkZCcLvQHFZMaXlpZx7ck5r0+ANtzcw\nofEE0dinz+1jQlxCqGNdhwWXF5D+Ph0zfTO+rvc181vN56cLP4nS4p6/e86EkxMY2WCk1vNUqDjS\n6wjfnvyWnQk7KSgtoL5dfeaFzBNZh194eoGOOzqKatrcqrhxYeAFdJW6ZOZnajWzSM5OFuzGP6aX\ndy/au7VndexqlAoloxqOwszATOu9ysjIyMjI/NuRhZLMF4eXtRebumxi9LHRvC9WGzRUMqjEmg5r\nsDKxovH6xjzKfiSsj0qN4sLTC4K4kKJi7nNrnM2d+SHwB5ZcWyKkTdWyrMX+HvvRVar/FBtWb8i6\nTuv45tQ3Qi8mGxMbtnTdgo2p9lqPNbFrmB01WzR2MuUkPff15PwAtbPZ+SfnGXp4qEiE3Xp5i7aR\nbTHVN9V678EuwbSu2ZqFVxYS9zqOGpVrMN5/POGe4Rpr09+la7yAp+amErY7jOZOzbXef4WJxssP\nL7WuUSgULGm9hB/O/SA8PzN9MzZ22YieUg//9f4iAXP00VEmPp+oUTf0MX28+1BUVsSJ5BPCWKBj\nIH90+oONtzeKntfd13fZk7jnsz2ipJ5hV/euLI9erjFurGdMm5ptMNU3pZppNa4+u4p7VXd6e/em\ntLyUX6N/lbzGn/f+1Fo/1d2jO2b6ZnjbeBP7Ipa3hW/xtvHGxcJFWFOuKmfQoUEaxh+Psh8x5cwU\ntoZtxUDHAB2FjlaRZ6JvojF2+MFhhv81XGgCvCJmBes7rRfs4GVkZGRkZP7TkIWSzBdFXrG6YefV\nZ1cZ5DuImlVq4lDJgdY1W2Oqb8rsi7NFIqmCnQk7aVOzDc/fPdeYUyqUBDoGAtDMqZnWyElz5+a0\nqdmG8Y3Hc/XZVSF1rSKFKSs/i/W31nPj5Q361e2Hl5UXNavUpIVzC/R19AG1u11kXKQ6vczAggG+\nAwhwCGBlzErJa154eoGEjATqWNdhVewqSeOCZ++eEe4RztOcpxpzDpUcaOHcAh2lDi2cW4jmLj69\nyLa4bXwo/kDbmm3p7d2bzXc2SzrvFZYWYqpnKnmPukpdenn3AqCxfWOtn8W/uj/fBnxLb+/erL+1\nHiM9I4bXH46ZgRmTTk+SjPIsv76cAIcASUc6fR19mjs3J8IrgjOPz3Dh6QUaV29MR/eOFJcVM+XM\nFI3nVVBawLFHx7SKiAoxGP08Wng2AQ4BuFu6i+yzFShY3nY5JeUlNFjXgDuv7ghz089P549Of4ia\n4H7M67zXbOqyieF/DRfVKdWoXIM5wXMYdGiQyOZ+853NHH5wmJihMdSsUpPY9FjJf2uAfUn72Bq2\nFTMDMzq7d9ZoylzxGe0r2YvGkrOTidgbIbqfF+9f0G1PN+6Pvo+ThZPk9WRkZGRkZP7NyEJJ5osh\nIy+D5pubixp56ip12dp1K6b66pf4M0/OaN3vbunO9efXhUhPBSMbjBReBEc2GMmG2xs0XkRDXEJo\nXUPt/mZtYk3X2l1F80/ePiFoU5DIjEBPqcfu8N2CSHpX9I4Wm1tw+9VtYc0ft/5gUatFonqZT3ma\n85Q61nVIzdG+xs/Wj7ySPI4nHxfGLI0s2ROxRzLlbcb5GaII1u7E3ay/vR53S3eNtRXo6+rzTeNv\nWHp96d9jOvqs77ReePEO9wwXIlcf42juyNB6Qzny4Ahjjo8R3OI239nM5q6bRRGhj1GhonH1xsS+\niNUwPxjvPx4LQwuGHBrC1ritlJaXolQoCfcMZ1SDUbzJfyN5ZsyLGMY0HMOq2FWicTN9M34M+pF5\nl+bx47m/e0htubuFQMdARjQYwbXn17A2tmaw32D87PwYfGiwSCSBWgj9cPYHrfVT5gbm9KrTiyDH\nIH6O+pm0nDSCXYKZ0HgCqbmpkr3AsguyWXx1Mb93/P2zqYBlqjJUKhUKhYKVoSu5l3lP9PfiZO7E\n+s7rNfatv7Ve4/mCWiBvvL2RWS1nab2mjIyMjIzMvxVZKMl8Mfx88WfRSx9AaXkpo46NokvtLhjr\nGX+2j1Ity1pcG3KN+Zfncyn1ElYmVgzxG8Lw+sOFNeaG5uyL2MeG2xs4mXISQ11DetfpzbcB3wqR\nI5VKxcsPLzHTNxNqOKaenarh2FbhjNaxVkf0dPRYfn25SCRV8MO5H/Cz9SP2RazGnI5CBx8bH0At\nhj51X6ugkX0jfmj2A1fSrnD12VVsTW3p7tkdYz1j8orzyC3Kxc7UDoVCwaOsR8yJmqNxxtVnV7Ez\nsdP6/Pxs/fi+6fcMqz+MY4+OYahrSHfP7qIaKn0dfY73Oc78S/PZm7SXkvISurh3YVaLWbx8/5Lu\ne7pTUl4irE98k0jbyLbUrFxT63V9bH24OPAicy/NJSY9hmpm1RhRfwTDGwzn25PfimrPylXl7Enc\nQ3Gp5kt/BcZ6xixruwxvG2/W3VzH67zXBDkFMTVwKsZ6xkw7p1k/djntMj08e7A7/G/r9nJVObsS\ndkleI/FNIj29ekpavY9oMIJXH14RsTdC+H2ISosiNTdVqBOTIio1CoBG1RthZ2onmebYxb2L8Hta\nvVJ14kfGsz9pP7EvYqlrU5eeXj2FurSP+fR392OkorAyMjIyMjL/CchCSeaLQSqNCNSuamcfn6WT\neyf61+3PXw//0lhjoGNAD68eWJtYsy1M8xt7gJXRK1lwZQEv3r/AVN+UoX5DWdh6oRARAjhw7wBT\nz07lQdYD9JR6RHhFsDJ0paShAMCrD6+4/vw6QU5BHLx/UHJNaXkp/tX9ufHihkaqWH+f/rzJf8P9\nzPsMrTeUnQk7NVLjAhwCCHEJAaCpY1OaOjYF1BGsQYcGsTN+J0VlRdSsXJPZLWfz4v0LyRQ+gJd5\nL3G2cNaIqFUzq8Zgv8EAuFd11zACADj7+Cw/nvuR6PRozPTNGOAzgPmt5gvRvrHHxopEUgXZBdmE\nuIRICkVTfVO61O5CSVkJgQ6B6Cn1qGZWjcb2jSkqLdJwMazg6KOj1LOrx62XtzTm+nr3paisiDuv\n7pCUmUR+ST53Xt3hUdYjnuQ80fps9t/bz1j/scLP5apyyYhRBaMbjsbcwJzNdzdTXFaMka4Rw+oP\nY07wHAI2BIhEc7mqnA23N2htHgtQ1bgqoI6irumwhoi9EaLnWc2sGvND5gs/q1QqllxdwtJrS3mT\n/wYLQwseZj1kVotZGlHGBnYNiIyLlLxuw+oNtd6TjIyMjIzMvxlZKMnIgPAteoRXBOOfjWdF9Arh\nhddI14htYds+ayv+x80/GHdinPDzh+IPLI9ezofiD6zrrH4Zv/j0IuF7w4VePiXlJeyI30FqTio6\nCmlHN0B4KdXm+gbga+vLwa8O8tOFn7j96jZWxlZEeEZw9flV6v9RH1BHQvp49yHlbQrnnpwTev0s\nbLVQZPVcQcTeCJEbXsrbFPr82Yeh9YZqvQ8DHQMuDLjA5DOT+fPen6hQ0dm9MwtbLcTS2FLrvujn\n0YRuDxVe3N8Xv2dV7CoeZj/kZN+TAFqd5gCqm1XXiMAY6Rqxo9sO3ha8JWhTkKiR7+83fmdFuxWC\nmcenlJSXMKflHEYfGy26boBDAItaL+Kr/V+JBHXSmyTC94bzdb2vtd7jp89YV6mrtWGvraktje0b\nY2ZgxofiDyRlJuFj7cOw+sNIyEiQFIUAV9KuYG1iLWlgMcTv72a0XWp3IW5kHOturiPtXRr17erz\ndb2vRf9Gi64sYurZqcLPOYU5zL00l5KyEha2Xig6e6DvQJZHL9cQyDUr16Rv3b5an4mMjIyMjMy/\nGYVKJf3t52c3KRRWQEZGRgZWVlb/39+VjMz/D4w7Pk7SKKCyYWXSv0lHqVCyN2kvca/jMNY1xlDP\nECtjK7p5dKOyUWVA/c390YdHuZx2marGVelbty92Zna4rnCV7JGkp9Tj2cRn2Jja0GlnJ8loFUB7\n1/YcSz6mMe5o7sjjcY/RUeqw+MpiJp2ZpLHGQMeAZxOfYWWi/lssLitGV6mLx28ekg1VI8Mi6Vmn\nJzoKHRQKBTmFOWyP287TnKf42voS7hnO/cz7+K711dgLasOF2PRYyVqX1e1XM7LhSOFZqVQqDYGX\nkJHAXw//wkjXiAivCKqZVaP7nu6ipqcfE/t1LA2qNWDauWnMvTRXcs2Wrlvo79OfmOcx/Hn/T6xN\nrBnoO5AqRlXof6C/ZN1OZcPKmOqbigTUx3Pp36RTVFrEtPPTeJj1kKaOTfkx6EfuZ97He41m81aA\npg5Nufb8miCGP2ZV6CpGNxpN3Os49iXto1xVjqeVJyOPjhTVvSkVSraFbcPcwJyw3WGiqI+hriGz\nWsxi8hlp5z1DXUMuDLhAtz3dePH+BaBOvxzvP55f2v4iWrvu5jp+i/2NtNw06lerz49BPwqGHaXl\npVRfWl1ScJnqm/Ly25dCpK+C1JxUZlyYwf6k/SgUCsI9w5kbPJdqZtUk71VGRkZGRub/BG/evMHa\n2hrAWqVSSRcga0GOKMl8McxoPoOzT86S9CZJGNNT6rG241qyC7JpuaWlyPGuqnFVTvc7LYikvOI8\nQreHcint0t9nXpjB9rDtWhvJlpSXkJydjI2pjei6nxLsEkzy22SRsDHRM2Fsw7EMPDSQ7IJsghyC\nCHIMEl1fqVAyuelkpp+frn7htavPyIYjScxIlBRJAGturKFP3T4A3Hxxk7aRbUXNZmdHzWac/zjJ\nvaA2nvilzS9MPDlRlGYW6hoqijYpFUr4JFA19thYkQnCd6e/Y23HtRqGBh9z59UdGlRrwMgGI1lz\nYw3ZBdmiedcqrvTw6sGh+4eYdGYSD7MeoqPQ4cqzK6xuv5rDDw5Lnvu28C39ffpL2nB/H/A9j7If\n0WZbG8GG+/Tj0+xP2s/ohqO13mtydjLzQ+ZrCJkQlxCG1hvK9HPTmXNJXN81yHcQlQwqcfvVbZzM\nnRjVcBT+1f1xX+WukWpYWFpIZFwk+jr6kuYJTeyb4G/vz9PxT9lwewMv3r+gX91+uFm6idbNPD9T\n1KPpzOMznH9ynuN9jtO6Zmsy8zO12qp/KP5AWm4anlaeAJxKOcXMCzO5/vw61ibWTGw8kRnNZ6Cn\no6f1OcnIyMjIyPwnIEeUZL4o8kvy2RG/QzAsGOQ7CDdLN3rs7cHepL0a631tfbk9XF0L8unLZQUW\nhhZUMqgkOLF9jI5Ch2cTn2FnZkfo9lCt7mwXB16kYbWG7EzYyY0XN3Co5EBuUS4Lr4hTnNwt3fkh\n8AdiXsRgYWhBVaOqfHf6O1F0p6pxVSY2nihyXvsYJ3Mnnk54CkCd1XVIfJOosaZtzbacTDkpuT/I\nMYioQVEkZiQSGRfJ++L3hLqGEuoWqhZHWjhw7wDd9nTTGNdR6OBv78/VZ1cl953ud5pWNVoBEP86\nnu9Pf8+plFPoKnXp5tGNX9r8wtOcpzTf3FwjylXPrh6pOakiIfgx5/qfIy03jYVXFnIv8x41Ktfg\nm8bfMLrRaHx/9+Xu67sae9q7tefYI83oH6hT864MvsLNFzeFZ9POtR1da3fl5oubNN7QWHLf2f5n\nCXYJFn5Ozk7GbaWb5FpQ1y/9FvubaExPqcfpfqexr2RPnz/7EJ0eDaijY7NbzmZ0I7XAyynMofrS\n6pL1TE3sm3B1yFVKykqw+8VO8rkZ6xnz8tuXVDKoxPkn52m9rbXGc+9Xtx9bw7ZqvX8ZGRkZGZn/\nU/x3Ikra32pkZP4HEpMeQ2RcJJFxkWyL28buxN3kFedpNXq48+oODzLV/W92JUo7lOUU5gjW35/S\ny7sXSoWS5OxkJvpPRPFpiAVoUK0BdW3q8uzdM/rW7cvqDqvp79OfJVeXaKx9kPWA+1n3WdV+FTOa\nz2DBlQUaL6mZ+Zmceazd5ryiuD4hI0FSJAGcf3qeZk7NJOe+afINoG7cO7/VfFa1X0WHWh0EkZRd\nkM03J7/BcZkj9kvtGXtsLBl5GUTGSxf7l6nKcK3sKjnnZeVFiEsI556cI3hLMIGbAnn27hnL2i7j\nw9QP7ArfRfVK1Vl2fZlkKuCtl7cIcAiQPNvO1I4gpyDMDc0xNzTHVM8UC0MLzA3NSXqTJCmSQG06\n0cS+ieTcxMYTeV/0Xvj9qvhdu595n50JOyX3ABrud8Z6xlrX6ih0mBs8l9/a/0Yd6zpUNqxM25pt\nOdv/LIGOgYRuDxVEEqgjZ2OOj+How6OA+ndam+nD9efXUalU6OnoMbbRWMk1Q/2GCu6Q8y7Pk3zu\n2+O38/jtY62fQUZGRkZG5j8BWSjJfDFcTrtMm21tuJh6kZLyEp6/e87089MZeXQkpeWlWvdVOJMV\nlRZpXdOqRivmh8ynilEVAMEWPCMvA7tf7HBb6cbIYyMZ5z8OR3NHQJ2a1sGtAy4WLtgsscF9lTsO\nyxz49fqvHE8+rrXfTUUqWWx6rJAW9imX0i4R7hGuMW6oa8iUplP+y89TUlbC7vDdRHhGCEYT1c2q\ns77Teo0eUB9TWFpIyy0tWXZ9Gc/ePSP9fTqrYlfRbFMz3hW+07rPycKJVaGrhOcH6sjV0d5HOfP4\nDG22teH80/O8K3pH0pskJpycwMwLM4W19zLvaT27qUNTvK3FNUXGesZs7rqZ3Qm7CdsdxvXn1/lQ\n8oFbL2/R70A/Nt7eqOU0dQ3YnvA9dKzVURC+VY2rsjJ0Jd09utN+R3uWRy8nqyCLorIiDj04RNCm\nIK19mSqe28dUM6um0eC3go61OmJuaE5zp+aEuITQqkYrQlxC8LL24mTKScmGyYBQn2draqv1PqxN\nrAXTienNpzMtaJogikz0TJjgP4Elbf4W8DdfSNvNl6vKuf1S08peRkZGRkbmPwm5Rknmi2HupbmS\n9tLb47fTxL4J155f05hztnDG20b9kt2xVkeNdCdQi4/WNVpjaWzJhMYTSMtNw8rYisBNgaK6pMdv\nH7MqZhXnB5zH1tQWC0MLhv01TJTyl5GXwYSTEz7rnlbRx0aqn00F+jr6bO++HY8oDzbc3sCbvDe0\ncG7BrBazqF9N7YLna+uLfSV7yT43bWq2wdbUlj0Re8jKzyK7IBuXyi7oKv/+v4zismJOpZziQ/EH\ngl2CsTaxZnfCbo1msaCOhHlZeWm933au7QhwCCDYJZgd8Tuwr2TPYL/B6Ono0fvP3pKicXn0cr5v\n+j1VjKrgbumutQasnl09JjaZyPLryzmdchpHc0d+bvkz1cyqaU1v23Jni9ZeQyE1QrA3t2dfxD62\n3N1Cak4qYR5hNKjWgDOPz3A57bLGnpzCHN4XSTvsAXR270xOYQ4roleojS70jGjt0pqnOU9FTnLu\nlu6sar+KvYl76f1nb0Hg703ay8qYlQyrP0zrNSqaEteuWluj1q2Civ1b7mxh452NZOZn0sOzB1/V\n+Qp/e38NAwdHc0feFr6VvF7FFwIyMjIyMjL/qchCSeaLISY9RnK8XFVOWO0w7mXeI6cwRxjXU+rx\nXZPv+PHsj3wo/kCj6o049uiYhk31pIBJrI5dzasPr2hs35geXj048/iM5It7maqMlTEr2ROxh5Ts\nFA7dl+6fdDntMsZ6xpIpUr3q9AKgvl19XKu4kpydrLGmp1dP9HX0+bnlz/zcUrOuCtR24ytDV9Jj\nbw+RgKxsWJlFrRcJP1saW2pYe194eoGe+3oKBf/6OvpMC5om6SBXgVKhxNfWV8O4obd3b5rYN2H0\n0dH8fvN3wTHu56ifOdDzANefX5c8r7C0kDuv7hDsEszExhM59OCQhtucj40PzZ2a0/9Af5F1eFRa\nFJu7bNZqwpFZkMkvbX5h0ulJIpFWyaASC1st5MaLG3Ta2YlXH14B6hS0r+p89VkxmJGXQXeP7uy/\nt1803t6tPSEuIQRuDBSlQkalRhFWO4x5wfN4mPUQL2svurh3oVxVzqhjozSioM/ePeNK2hWt1/ez\n9RP+987uOwnbHSbYjCsVSvrW7cv0ZtOZcGKCyOAi6U0SBx8cJHpotIZQGtNoDF8f0RT1jao3omH1\nhpx5fIYFlxcQnxGPi4ULExpP4Ks6X2m9x/8OOYU5GOkaffYLBBkZGRkZmf83yGYOMl8MPr/7SEY7\nAK4NuUY1s2qsjl1N3Os4XCxcMDMwY9GVRSJnt1Y1WtHCqQVXn1/FytgKj6oezLwwk6Kyv9PYvK29\n6eHVg+nnp0vfh40Pd0bc4UTyCUK3h0qu0dfRZ2vXrfQ70E8kYlrXaM2RXkeEl8Frz67Rfkd7kcDz\nsvLi3IBzn+37BOqGotHp0SRkJBCTHsPzd8/xsfFhVMNROJg7aN33rugdjsscyS3K1Zjr4dmDPUl7\nJPdN8J/ArJaz+P3G70LUpHed3vTz6cf6W+sZ/tdwjT12pnYoFUrS36dLnpk4KlFwX9uftJ/JZyaT\n8jYFpUJJx1odWdtxLWtvrOWniz9p7PWo6kFqbqqkGNVR6PDqu1c8zXnKb7G/qa3TbXwZ6z8WJ3Mn\nXH51kRSFPT17sjtpt8Y4QLhnOLu672Jnwk423NqAChUDfQbS16cvy64tk7R+B4gaGEWQU5Dw87kn\n5wjZGiK51kzfjEbVG3H2yVnRuIGOAVeHXKWeXT1Op5xmV8IuisqK8KjqgZulGw2qNaBG5Ro8zXlK\nzRU1Je3Nh/oNFXqCfcxPF35i8dXFwnNs5tSMHd12cOPFDbrt6aZx1rK2y5jQeILk/f/vcOzRMX44\n+wN3X9/FSNeI3t69Wdp2qZAyKCMjIyPzZSPbg8vIfAaVSkWZqoxRDUYx4ugIjfl6dvVobN+YkrIS\nFrRaAEBabho1fq0hEkmgtlHu7tGdo72PUlxWjP1Se5FIAoRvz7VR8WJfu2ptFCg0rlGxpmedngQ4\nBLA9fjvZBdmEuITQpmYboYbkTd4b4jPimdJ0Cvml+eQX51O/Wn26e3T/L62Zo59H0+fPPkJEpbJh\nZZa0WcJgv8GidYfuH2LdrXVk5GUQ6BjIxMYTOZVySlIkAWQVZKGn1NNIcdRR6DCk3hAqGVRiUtNJ\nTGoqFgXaaoJefnhJrzq9JI0QghyD8LTy5OLTiyy9vpR7b+5Ru2ptZrecTZuabYQo2MY70mffy7wn\nGeEB6O7ZnarGVbn+/Drp79JJf5eOlbEVWflZJGcna42c3c24q7Xh68gGI4lKjWLG+RlCVPJJzhNs\nzWwlm85WcCrllEgo/VfNiQ9+dZCpZ6ay5e4W3he/J8gxiLnBc6lnV4/xx8ezImaFaE8713aE1Q4D\n1JFCKZEEaIivCn5q8RNhtcPYn7SfmlVq0t+nPwqFgtDtoZJnzY6azYgGIzDUNdT6OcrKyziVcoqX\nH14S4BBA7aq1JdddTrtM552dhahfQWkBG25v4PHbx5wbcE7r+TIyMjIyMv8EWSjJ/I8lMz+Tt3Cm\ncQAAIABJREFUyacnszNhJ4WlhbSp2YZBvoPYEb9DEDcNqzWkvl19LBdZkl2QTaPqjZjdcjZJb5K0\nminsSdzDiAYjuPD0gtYC/evPr0ummekqdZnYeCKgrn+K8IpgT6JmBGZSgFpIOJg7MCVwisb8trvb\n+PrI18LnUKBgauDUf5TW9K7oHe13tBf1I3pb+Jahh4dSu2ptwSVu9sXZzLgwQ1gT+yKWyLhI+vv0\n13p2fkk+O7rv4OsjXwtRrkoGlRjVYBQTTkwQegWNbTSWQX6DhH2Z+Zlaz2zh1AJjPWM23dkkvHj7\nV/dnZ/ed7E/aT499PYTxR9mPOJ58nJ3dd9LDqwcAWfnS1uCgTvtToRI1u21Tsw1rO65lTewaRh0b\nJYw/yn7EoQeHmBwg3ewV1Olfx/sc56t9XwmmCuYG5swPmY+7pTvuq9zJK8kT1qflphG2O4wWTi20\nnvlpZKSpY1OqmVUTGsp+TIRnBKb6pqxsv5J5IfPILczF3twegBsvbmiIJIATySfYEb+DAb4DqGxY\nWet9VPQT+5iy8jJGHh3JhtsbhH+D+Zfns73bduIz4iXPyS7I5t6be/jZ+UnOJ2Yk0mlnJ1GKax/v\nPmzuullUIwew+Opiyb/T80/PE5MeQ6PqjbR+HhkZGRkZmf8KWSjJ/I+krLyM1ttai4TKyZSTmBuY\nc2XwFbIKsrA1tWVO1Bx+v/m7sCYmPYb229t/tii+ojbkc0555ZRzos8Jxhwfw8H7ByktL8XLyovF\nrRcL9twAm7tsxtLIki13t5Bfko9DJQemN5tOL+9eWs9OzUll8OHBouurUDHv8jyaOTWjrWtbYTwq\nNYoNtzeQlZ9FM6dmfF3va/Ym7dVo2lpxxpobawhwCCAjL0OjMSrAm/w3n22cG+gYSLhnOO3d2nP2\n8VnKVeWUlpfSc19P4YU2uyCbwYcHk/4+nWnNpgHQ3Km5ZL2QAgUtXVoyrMEwhtcfzpGHR/Cy8qJn\nnZ6oVCqmnJ2iEbUoV5Uz9exUwj3DUSqUNHNqxvHk4xpnG+oa0typOd08unH28VkupF6gcfXGdKjV\ngcLSQqadn6axp7ismGPJx9BV6kr++4e4hFDPrh6/d/idZdeX8a7oHT29ejLIbxCLrywWiaQKCksL\nMdEzkXyeeko9env3Jqcwh3U313Ex9SJVjKow3n88P134iYLSAmGtR1UP5gTPISs/i7HHx7IvaR8l\n5SV4WXmxoNUCrbVeAAfuH2CA7wDaubbDxsRG0k1xoM9AjbFfo39l3S1xOt6DrAf0/bMvpvqmfCj+\noLFHgQIrE+mUbZVKRbc93TTqALfHb8fLyoupQVNF4wkZCVo/U/zreFkoycjIyMj8t5CFksz/SI48\nPKIRzQHILcple/x2lrZdyv3M+5JNZstUZSRkJGhNi6tIU2rh3AILQwtRfVAFXd27YmNqw96Ivbwr\nekdecR52ZnbCfF5xHouvLmZ34m5Ky0sZ4juEr+t/jef/Yu+8o6LItr79NDkqQQRBkKQIKAYURUQw\nIJgVFXN2zIqOYWYMo445D2N2HEyYc0aMmAMoggEDKmIEFRXJob8/+u0ay67mzv3upDu3n7Vcrq46\n59Tp6urm7LP3/m0rD7S1FKFVxSXFrLi2gnUJ63iX+44mTk2Y6D+Rnbd3qjXSNtzcIBhKiy4uYtzx\nccK5ww8O8/P1n2lTpY3a+6ZUwDvz5AwFxQWSbRJeJUgWXbUxsaFD1Q5EJUZhZWRFy8ot0dbSps6a\nOpK7/vMvzCe8Xjim+qZ82/Bb9t3bp2LADaw9EGdzZ4YdHsbP138W3vfya8tZHLxYUsgCFAqDqe9T\ncTJ3YnrgdM48OSMyKkDhtTPWM6bb7m5sv7Vd+KxbVW7FmPpjJI1JgPiX8Yz1HcuiS4tEx80NzJnc\naDKTT01m1rlZwvGzT88SlRSFWzk3yfEA9HT0GOc7jkWXFgnz0NfWJ7JdJHraevj87KMi+/1dw+8w\n1jXmedZzfOx86OLZBUNdQ+qvrS+qo3Q74zYdtnegp1dPtddXPnP6OvrsDttN++3tRV6+3jV6M6zu\nMJV+XxpJSpLfJhPqHiry1CkJcQ2hYpmKnHlyhogrETzKfES18tUY6zuW7IJs7r+9LznmLzd+UTGU\nnM2d1dZrcrFwkX6zGjRo0KBBw29EYyhp+EdSWg2X6y+vA0gaUkruvb3H5EaTmXF2hui4b0VfBtdR\niA4Y6RqxtMVS+u7rKzIEHM0cmRY4TXhdRr+MKHyqqKSI4KhgLqT9qlC29N1Sjj8+zpWBV4S2Aw4M\nYMPNDUKbdQnrOHDvAJ08VOsjKVHmDqVnpzPx1ESV8w/fPVSr9AaKUERQiAKoo4x+GfaE7WHhxYVE\nJUWRlZ9FsEswecV5NFzXUPDwOJo5sqvzLuJfStfaySrIIvF1In4OfjiUdWBv2F4iEyKJTY2lnFE5\n+tXsx5A6Q5h7fi4r41aK+p57eo7R0aPVena0ZdqUNSgLKArj7u2yl8gbkVx9cRVbU1uG1hlKT6+e\njDwyUqXY6+EHhyULAysx0TNhftB8atnUYlXcKl5nvybAMYBv/L6hRF7C7HOzVfpceqYQC1FH7Qq1\nGddgHIO8B7Hx5kZM9U3pV7MfVsZWjIsZJ1kbaeHFhaSNScPaxFo4dubJGZGRpKSopIi0D+oVCZU1\nt84/Pc++5H30qdGHckblKKNfhoBKAXiWl1bzk8rF+nzM4pJi9t/7VdnRt6Iv69qtU4Rw7u0tGIWJ\nrxPZdWcXk/wnqR3vba5qCOXoeqMliyvXtKlJQKUAtWP93sjlch5lPsJEz0T0eWjQoEGDhv9uNIaS\nhn8kpdVwcTRz/E1tfmj8A02cmhCVGEVWQRYhLiF0r95dUJzLL8qnnFE5IkIiuJ1xmzc5b6hfsT79\na/XHzMAMUISBnU09y4e8DzR0aIilkSX7k/eLjCQlyW+SWXdjHeH1w7mTcUdkJCl5m/tWsu6RkiDn\nIEAhAKDOI3Tr9S3q2tYVpKGVWBpaMtJnJKBQ91NXR6iXVy/0dfSZ1GgSkxopFrbLry5nxNERonZP\n3j+h446OWBhaqPXOlDMqx+RTk1l+bTnv895jaaioRTXJf5IgWvGlkaTkQtoFgl2COZZyTOVcW7e2\nGOkaMfLISCITIskpzMHW1JbvGn7HCB/FPPOK8liXsE5y7OiUaHzsfCQl5Xt79SYrP4uYRzFcfXGV\nguICikqKCKwUyMtPLyW9kKAQpnAyc1IJK7MztaN/rf4cTznO6GOjhdDGow+Psqb1Gg7ePyg5XmFJ\nIdEPo+lTs49wrLSwyOdZz/m+0ff8cFYsF9/ZozNhnmEMOjhIxUM0seFEtUYSKEItlQWQP0dHS4cA\nxwC6Ve9GbGosJ1JO4G3rTfuq7SkqKWLC8Qkq96mguIA9d/egp60n+exKFeBtVaUVa1qvYcrpKbzO\nfo0MGUEuQaxrt054fv4doh9GC4qAbaq0IcwzTCUv6kv2Je9jXMw4UjJTkCEj2DWYNa3XlKocqUGD\nBg0a/jvQGEoa/pF0qdaFiacmqux4a8m0hBCiBvYN8K7gLenxUBoMgY6Bkgu0fcn7GHhgoLDLbWZg\nxoqWK0S5RfEv4um8s7OwMDbQMWBKoym8/qSa/6EkNjWW8PrhnE09q7bNw3cPaVOljcoCulr5agyo\nNQBQhG2pw0DXgJheMUw5NYXNSZvJKcyhVZVWDKw1kB9if+Dis4tYG1sz2HswEVciRAVFW1dpzbgG\n41TGXHtjreS1Uj+kEuYZJilY0dSpKesS1jHvwjzh2Nvct0w5PQUZMsEIkxItUPJV7a/IzMsUGTR1\nbOuwqvUqBh8azMabG4XjL7JeMPLoSIx0jehfqz8f8j5I5gyBwgMzs/FMwqPDufvmrmjO84LmEbo9\nVKRU9/j9Y3rt7cXA2gPVztVAx4DYvrFMODGBPXf3UCIvoX3V9sxrNo9Xn17RZmsbkYLimSdnaLqx\nKWX1y6od88uaQZUtpAvoKs9NbzydNm5t2HZrG7lFubRza0eQcxBHHhyRDKObfX62UExXyaeCTxy+\nf5icwhyGeA/heMpxlbDGEXVHYGVkxeCDg4lMiKSopAgZMtq6tWV8g/GSBjjAzdc3GVN/DEsuLxEd\nN9Y15vtG30v2+cr7K+rZ1WPHnR3YmdrRr1a/UhX11DHyyEiWXVsmvN52axsbb27kYLeDalUkLz+7\nTKcdnQSPshw50Q+jaR7VnFtDbwkhjRo0aNCg4b8TjaGk4R+JiZ4Jx3oeo9feXkLCt7WxNYuDF4sS\nvPd33U/PvT058+QMoAg5m+g/sdR8jseZj+myq4to1/t93nt67+tNDZsaeFh5kFeUR6strURJ8XlF\neUw6NalUZbpyRuVE/0thZWzF7rDdrIlfw9ZbW4Xd71H1RmGqrwiZa1G5BWX0y/Ax/6NK/66eXTEz\nMGNpy6UsbbkUUCiN+UX6CaF7dzLucPrJab71+5aq5aqSnp2On4OfoIj3JRnZ6ssStHRtibZMm223\ntglehPoV67O69Wpqrq4p2efHKz8ywW8Cutq6+Nj5SAoR6GvrE+AYQIhrCNPOTCPhVQI1rGswrfE0\nPuZ/ZHPiZsmx51+YT/9a/SlvXF7SwwOK+9+oUiPO9z/PlFNTuP/2Pn72fnzn/x1339yVlPOWIycp\nPQltmbZkTlaYRxj2Ze0Z5TOKCsYVKJGX0NGjo5CD9aXMPCiKyPq4+3ArQ1W0wFTPlFaVWwEKb0za\nhzR87HzwsvZSqRcmQ8bo+qPJyM5g5bWVbLu9jYLiAp5/fI5DWQdRMd4v2X5ru2AoHbx3kJ57ewrP\nlY6WDgNqDSAjJ4OLaRexMbFhUO1BDKkzhEmnJrHm+hrR/dl/b3+pIij62vrMaTqHGtY1WB2/mlef\nXuFr78u3ft9S3bq6SvsSeQkDDwwUeQa/P/M9+7rsw8/BT+11vuTq86siI0nJsZRjbE7aTN+afSX7\nRVyJkPysk98kc+TBEdq4qeYDPnn/hA0JGwTJ/U4enf6lnL8GDRo0aPhr0BhKGv5xvM97z8prKzn+\n6DjO5s70rdEXPwc/vCt4CwuSguICIm9Esjd5L3raevwQ+AONKjXC29YbEz0TYaydt3eyKXETnwo+\nEewSzJA6Q1iXsE4yNKiopIhfrv/CouBF7EveJ6kcBvAy66VkrSFAqGPUpkobtfV4BtQagK62LsN9\nhjPcZ7jkNUz0TFjfbj1dd3cVzTWgUoCkR+iHsz9I1kZafHkxz8Y8E6mU5RTmcPnZZYx1jfGx80Em\nk+FfyV8l1wcUHrwAxwD61OzDiLojOPrwKDVtatLRoyPJb5IlVdFAIReekZOBraktUwOm0mpLKxV1\nu5E+I8nMzaTWxlpCOOKJxyfYensrc5rOUSvvfu/tPeRyOTKZjKkBU+m7v69Km+8afkdSehLBUcFC\n2KBy7PB64ZLjgsKIXhy8mNHRo0WhZa0qt6J/rf6MPTaWxZcXC8cjrkYw2HuwZA6SEmczZ5o4NeHU\n41/rAulp67Gu3TpM9U1ZcmkJcy/MJT07HX1tfTq4d6CCSQViUmKQI8ehrANzms6hoUNDvNd4i5Ti\n9t9ThIE2tG+o9vrK5zQ9O50uu7qIvEdFJUWsjl/N0R5H2R32az2q4pJiVsWtUhkLFOFtvhV9ufTs\nksq5rtW6oq+jT5+afUQhhepYeW2lSvjkm5w3hO4I5enopyoeN3XsT96v9ty+5H1qDaV7b+6p7Xfv\n7T3aIDaUdt/ZTbfd3YR7uiJuBYsvL+ZErxNCTp0GDRo0aPj7oDGUNPyjyMzNxC/STxQudeDeAUb6\njKR+xfqAYnHXektrkVcgJiWGENcQDnU7JBwbfng4K+JWCK9PPznNpsRNojCkL1GGFL3Mkg4tgv9T\n3gvdzIADA8gqyAIUYVnzm80X5qivo8/+rvsJ3R4qjKkl02Kkz0i1i7bPefrhKS8/vWR64HSyC7LJ\nL84noFIALSq3QEumpdL+5CPpYqIFxQWce3qOUPdQAH6O/5kJJyYISn+VLSqzpeMWJvlP4vD9w8L7\nUTLYezAVy1Rk6KGhrL2xVvAmNHdpzprWazDWNZYMf7MwtBC8aiGuIRzoeoC5F+YS9yIO+zL2DKs7\njPB64QRtClLJ2XqR9YKVcSvRkmlJFjytbFFZyF/pU7MP+jr6LLy4kNsZt3G1cOXr+l/Tr1Y/PFd4\nquRW3X97XzInR4lbOTdG1RtFM+dmRCVG8TH/I60qtyLENYQLaRdERpKS1fGraevWVu2YXjZezA2a\nS/TDaM48OYOloSU9vHpQsUxF1l5fy9cxXwtt84vz2XZrG108u/By7Eve573H1cIVbS2FR09KTvtN\nzptSxSvaubUDYGvSVpUQOyWRNyIJcQ0RXn8q+CQK2fycYnkxE/0nMjZmrEjhrp5dPSY3msyGhA2U\nyEtoVaUV5Y3Lq50XwPqb6yWPp2enc/ThUdpXbV9qfyWlhciVds7DyoMbr6SFY5SFpZXkFOYw4MAA\nlQ2SuBdxzDk/Ryh2rUGDBg0a/j5oDCUN/yh+uvKTyEhSsvTqUobVHUbVclXZc3ePZOhU9MNoDtw7\nQAf3DiS9ThIZSUpuZ9zGzVK9zLNvRV8AtSFqyjadPTsT4hrC0YdHKSwuJMQ1BEsjS0ChoHX04VEO\n3jtIh6odqGRWCWtjawIdA6lkVulf3oM55+Yw5fQUwaOiq6XL0hZLaVWlldo+5obmkqpigFCENPZJ\nLIMPDRZ5Sh68e0CLzS14Ev6EiwMuMvvcbM49PYeVkRUDaw9kaJ2hTI+dLqpVBQrDdPiR4Qz2Hixp\nPIz0GYmWTItpZ6axMm4l6dnp1LSpybaO22hXVbFwz8jO4ORjaQPv8rPLdKjagb3Je1XOjfUdS25h\nLpNPTSYyIZL3ee9pYN+AI92P0NipMaCowaNOGOH0k9MEVAogNjVWcuzM3EwiLkcI+V/33t6jvHF5\nyTwtJboyXYx0jcgpzBEddzZ3prNHZ0rkJeQW5pJXlEduUa7gJVx4caHkeDvv7GR+0HyRJLlS7VGK\nnKIcWlVuxeEHh0XHe9foLdwTdYIcoKpIV9agLK4WrpLy7aZ6pgQ6BnJn2B2OPDjCo8xHVLeurvh/\nZXXyivIAhddsUfNFgviGFJm50sZYafNNfpPMxpsbyczNpIlTEzq4dyDMM0xF4VJJmEeYyrG0D2m8\ny33HCJ8R7Li9Q8X48bL2EhmOoHjmpby2oChirTGUNGjQoOHvh+rWsgYN/8VIFRZVoqz785+2efnp\nJZ5WqkpgrhauQrhQvYr1hPyRzzEzMGOs71gATPVNCfMMo4dXD8FIKpGXELYrjFZbWrEqfhUr4lbw\nzYlvuPvm7m8yki48vcDEUxNFYWeFJYUMOzKM5DfJavtJFRMFcDJzIsBRIbO8Kn6VpKLbm5w37Lit\nSKSvYV1D8c+mBl7WXshkMlZcUzU4QXGvh9YdyljfsUK4Y1n9skzyn8T3Ad8z7PAwpsdOF8IPE14l\n0GF7Bw7dPyS8r9KY03QOA2sNFIQtrIysWBi0kMF1BtNlVxcWX14seMYupl0kZHMIV54ppLXVKQYC\nFBYXsr3TdpEimp2pHb+0/YXWVVoTsjmENdfXkF2YjRw5Jx6dIHBDoFpDFMBE34ToHtF4V/AGFN7D\nlpVbcrL3SYWi3vpAOu3sxNKrS5keOx23ZW5sSdqituZQibyEB2/F4Xz2ZdSrsDmaObKv6z42h26m\ns0dnulXrxt4ue1nfbr3QRvkcSBFYKRBQKEEeTznOiUcnmNhQVZ4e4GvfrzHRM0FbS5s2bm0Irx+O\njYkNgw8NFowkUHwGo46OIv6FtLw8QBOnJpLHtWRaNHZsrHL8l+u/4LnCkznn57AqfhVhu8JovKEx\nzubOTAuYptK+W7VudPbsLLx+kfWC4KhgHH50oObqmrTb1o4hdYZQrXw1QCFLH+oeyrGex1Q8t6Xl\nZqkLE9WgQYMGDX8tGo+Shn8URrpGas8Z6xor2uiU0kbP+F+OY6JnwoFuB5h+Zjq77u6iuKSYUPdQ\npgVOE9VLiuoQxaJLi4hKiuJD3geCXIKYGjBVVAgzvygfOXJBpWvH7R3surNL5ZrzLsyji2cXalWo\nBUBuYS4LLy5k2+1t5Bfl07pKa75t+K2kpDgoFs6bbm5iVtNZwnUXX1rMlltbyCnMoblzc5UishVM\nKrArbJew4CutDs/djLvMPDdTVPxzfcJ6FjVfREaOtNCDHDmvP71mbrO51LWty/WX16lnV4/27u15\nmfWSyBuRkn1mnZtF6yqtsTW1VataWNOmJm7l3FjWchkN7Btw7+09Gjs2Jtg1mIRXCZKS2wXFBcy7\nMI89XfZQ06Ym9mXsSfuo+p6DXYOxNrEmsm0kAZUCePrhKW2qtMHPwY/oh9GSkuKfCj7xMU9VWENJ\n+6rt8a/kT9ygOF5kvcBA2wALIwsAZsTOUJGTLyopYtDBQVSxrMK9t6p5MloyLcGbJJfLyS7Mpnv1\n7kw5PUXFq6Et02aw92B0tHToXr073at3F87J5XKOpxzndsZtKltUJsQ1hOiH0aL+TmZODKs7jN13\ndjPk8BChUK2VkRVjfccSkxLDrfRbOJk7EV4vnFH1RqnMVxlu9yVy5Gy4uQFvW2/hWGZuJrvv7uZj\n/kfaV23P3uS9ouK4AMPqDMPJ3El07E3OG4YfGa5ynfNPzxNxOYKpgVNp49aGrUkKgZS2bm1p6tRU\nCNOUy+W03tJaFGqXnp3O0qtLOdD1AHVs62Cka6Q21yjIOUjSawi/hjdq0KBBg4a/FxpDScNfQom8\nhEP3D3HwnkJ6t2u1rjSq1Og/Hrd79e6cfnJa5bi+tr6QZ9O9enfJsDrlOVDUlhkbM1bSs9Cjeg/K\nGZUTqcZ9zvWX1xl/fDynHp9CT1uPju4dWRy8GBsTG6FN2oc0vo75mn3J+yguKaa5S3MWNV/E7ru7\nVcZTsuvOLmpVqKXI39jSSvQ+I65EcOj+IaqXV1UGU/L5Arndtnai+kOr4lfhUNaBk71OcvfNXWxM\nbGjj1gY9bT2hTV3bupL1nwCS3yaLjCQlk05NwtPKk9sZt1XOGekaUcagDNVWVBMt9r2svfjG7xu1\nu+yfh5BFhEQQHBUsynMy0jVS1LZKv01wVDDPs54DCmOzoUNDulXrpjLml2Nra2mzrOUyOu3oJPJc\nWRhaML/ZfC48vUDbbW2F8K55F+bRpkoboWCvFBk5GfT06klUYpToeEf3jrR1a0vS6yS+O/kdRx8e\nRV9bn27VujEvaJ5aRbrswmwCHAMkDaVu1bpRsUxFIi5HsOjSItI+plGxTEX61uzL4QeHhZA4a2Nr\nIkIiBANcNN/sDFpuaUncizjhWFXLqkxsOJEjD48oZOUrt2KC3wTe5LwRiRQo3+/Sq0u5O/wuTmZO\npdY1UpfPBOIQuoP3DtJ1d1eRsdHZvTOWxpbEPonF0siS/jX7S+bxHbx3UFJZEBShigNqD+CnKz+x\n/fZ2CosLefL+CXamdrhbuQNwNvWs2nykiCsRnOitWvg2uyCbzUmbBUXAiQ0nMuX0FJFntoplFSY3\nmqz2/f8n5BXlse3WNmJTY7E0tKRvzb6C90uDBg0aNPxrNIaShj+d4pJiwnaFsefuHuHYyriVjPUd\ny8Lm0jkXv5V+Nftx6vEptt7aKhzT1dJlXbt1gnKbn4OfSuFNGTKmB04XpMOtTaz5pe0v9N/fX7T4\n6+nVk141eqm9/pP3T2iyoYlglBQUF7D11lYSXiVwc8hNdLV1ySnMIXBDoMiwOJZyjPgN8dSzq6d2\nbOVOePTDaEljMCUzhRrWNdT2VxajPfX4lGSR1qcfnnLu6TmmBk4VHb+YdpH07HS6V+/OhpsbVBa1\nvhV9VeSoleQV5dHcpTl3Mu6ohO2F1wtnXMw4lYV+4utE1iesV/s+lAWDQZHHsqzlMuJfxPPo/SOq\nWlZlaN2huFq44rXSSzCSlJx/eh5LQ0u1YyvDG0vkJZQzKsfylsuJfxlP2sc0alrXZGjdoVgbW1Pp\nx0oqOTAH7x8stX6Po5kjG9tvpJN7J3bd3UWJvITQqqF0cO/As4/PCFgfINzb3KJcIhMiiXsZV2rI\nlp+9H17lvZh9fjYvsl5gpGtE3xp9Wdh8IQsuLGDCiQlC22cfnxFxJYLZTWbTzLkZ+cX5+Nj5iIzh\nzwmPDhcZSaAwiONexnFjsNhgWHJpiWQoZEFxAeturGNGk1/zf4pLiolNjeVTwScaVWqEmYEZjR0b\nS9Zxgl/D697nvafb7m4qHpmdd3cS2TaSla2kCxMrkfJYKSksKaTxhsaivLSD9w9y6dklbg65ia2p\nLSmZKWr7S53LyM4gYH2AKGdSV0uXOU3n8PTDU9Jz0mlo35B+tfqJPNG/Fx/yPtB0Y1ORx3XJ5SWs\nab2GAbUH/O7X06BBg4Z/IhpDScOfzo7bO0RGkpJFlxbRrVo3UZjNv0NRSRGH7h/C08qTGYEzKCwp\nxNzQnC6eXahgWkFod/rxaUESvEhehKGOIaHuoVSxrCK0SXiVwLOPz/i+0fcUU4wMGSGuIaIaTI8z\nH4sKh1a2rMzSK0slE7bvvrnL3uS9hHmGsSVpi6T35U3OG7WLVkDwiMU+URURUPKp4BN1bOuoLHCb\nOjWldZXW/7L/5wIF99/ep+OOjoJSmq6WLt2qdeND/geOPjyKiZ4JPar3YGaTmdRZo14J0N/Bn4BK\nAcw6N4vrL6/jaObISJ+RdPboTMUlFSX7nH5ymkaVGkkW3h1RdwR3Mu4QtjNM8FQZ6xozpdEUvmn4\nDaD4/JLSkyTHPvX4lFov10ifkVx+dpnuu7sL9ZXMDMxYGLRQWFwefXBUbcHUhFcJVDCpoHJehozh\ndYcjk8loV7WdIEihZNnVZZJelcTXibRzayfpNdLT1qOFawvKGZXD0cyRM0/OUNmiMj1r9ERbS5sF\nFxdIznHx5cWMbTBWeNZuvrrJ3AtzufLsCramtgytM5R2VdtJhoACHE85zsusl6Lv1IvB8sD4AAAg\nAElEQVRP6osCf34vLqVdouvurjz98BRQeP9mNJ7BSJ+RLL26VEUyvHaF2oKXd8/dPWoLBG9K3EQn\nj07Mu6DwwBWVFNHOrR0T/ScKynmtqrRSK8tfxbKK5G/Sm5w3rLi2gplNZpbqrZU6Nz12uoqwTGFJ\nIfMuzOP5188x1DVUO97vwYKLC1TCUkvkJYw8OpIO7h2wMLT4Q6+vQYMGDf8ENIaShj+dPcmqCxIl\nu+/u/v8ylF5mvSRoU5Bo8eto5siJXieEBV1uYS5tt7XlxKNfQ2TMDMw40PWAYCTJ5XIGHRzE2htr\nhTa6WrpEtosUGUkLLizg25PfCrvU35z4hu8Dvufm65tq55jwKoEwzzBuvlLfplheTFu3tioS1OH1\nwqlrpwjrKq0YrbWJNbvCdrH06lL2Je9DW0ubzh6dGVZ3mCBzXFp/5Tm5XE67be1EAhCFJYVsTNzI\nylYr2dd1n6hft2rdRB46JeYG5oS4hmCoa6hiHDx4+0BSHAIURu/ylssZf3y8kBNjpGvE6HqjGVJn\nCFWWVeHJ+ydC++zCbL49+S2VLSsT6h4qWWj387aHuh2i596eQihhWf2yfB/wPUHOQThFOImMlvd5\n7/nq4FdULVcVPwe/Usf+VPCJmF4x9NzTU3gWrIysmB80H/9K/mr7laZI52TmhIeVh4oK3/xm89HT\n1qNBZANRQd4pZ6YQ2TZSbW7Ym5w3PPv4DGdzZ649v0bA+gBB9vvx+8dcSLvAON9xasUy5Mj5kP9B\nZCjVs6unElKoRPm9+VTwidZbW4s8cTmFOYyNGYunlScxvWL48fKP7LyzE7lcTqh7KF/7fi146Uq7\n7x/yPhC0KYgrz68IxyKuRHD04VGufXWNMvplsDGxYX7QfMYcGyPqW8umFnamdmrHVn42de3q0sy5\nmej3AxRFdyf4TVDppy6MNjMvk1OPT5WqQvl7IGX4gcJbefTBUXp49fhDr69BgwYN/wQ0hpKGvxVy\nufTC+V8xKnqUiofgyfsnDDgwgDN9zwAw5/wclUXO+7z3dN3dldTRqeho6bDt1jaRkQQKA6H//v40\ndWpKBdMKJLxKEIU0gWLxOD12uuC1kcLZ3BlAJcn8c1zMXVgQtID99/Zz4N4B9LX16VKti0jdq6dX\nT6acniKZbzGg1gBM9U2Z6D+Rif7SqmPdqnfj25PfSiaVD6il8JrEpsaqVclbHb+aIXWGsPP2TqKS\novhU8InGjo1Viojqa+sz1ncs/Q/052XWSxrYN2CEzwhsTW0V79XCBWdzZ0nvmpe1F9XKV+Noj6M8\nynzEi6wXVCtfTWHY3jsgMpI+Z8W1FYS6h1LXti7mBuaSXppmzs1wNHfkfP/z3Htzjzc5b6hpUxNj\nPWNWx62W7CNHzqr4Vfg5+BHoGIietp5k/lpzl+ZUK1+NhCEJJL1OIqsgC+8K3v+y8KlDWQe156qW\nq8qMJjNYn7BeqKPUr1Y/6lesz8gjI0VGEigEBr6O+VptjSojXSOsja0BmHpmqmRtpGXXlqn1ulUq\nW0nYWLj87DJP3j/Bt6IvLuYuKiFobpZu9KiuWJDvvL1TrWT3mutraOLUBBsTG2xNbSmRl2BjYiMo\nFsKvoaNSOJg5sC95n8rx+2/vs+7GOsLrh/Mx/yOOZo78GPwjd9/c5UP+B5o6NaVH9R6svb5WYtT/\nG/uzz2ZP2B7GxYwjKimKnMIcatrUZFaTWTR0UF+w9++Iug0KDRo0aNAgRiMPruFPJ7RqqNpznTw6\nldr3UtolWm9pjdUCK2qsqsHKayvJys+SXCSBYsGvVGtTt+P9IusFpx6fUrRJkm5TWFIo1MFRNw4o\njAOlZPTnlDcuT0f3jrz+9Joe1XtgZmAm2Xew92C0tRQSw+vbr2d1m9U0cWrC/uT9+K/zp9z8cnTa\n2Ykx9ceI8hr0tPWY32y+Wgnnw/cPE7g+EKsFVrTZ2oZRPqNEc9DV0mVG4xkEuwYD8OrTK7Xv8dWn\nVww/PJywXWEcuHeAU49PMeX0FD7mf2RL6BbG+Y5jXrN5TGk0hcmnJwvJ5HPOz6H26tqkvFMsprVk\nWiwMWoi2TFzQU09bjwVBv4aNOZs709ChoTDf5x/FeUefo8xJMtQ1ZE7TOSrnTfRMmNVklvDarZwb\nfg5+gtrhlzlNorH/77rWJtaS0tdWRlZMaTRFeF3dujoN7BuIjKR3ue8YHT0a+yX22C22Y8SREaRn\npzO0zlCV+wBgaWhJt+rdeJz5mNjUWM6mnhX+LyopYlPiJsm53n97nzZubSTPDag1QHi/UrWgQJFb\n1sWzC7pauqLjWjIt5jWbx+tPr6m3th6+v/jSbXc36vxch6rlqtKvZj8sDC2wNLRkUO1BxPaNFa6l\nLlwR4MXHF3TY3oGvDn5F9MNoYlJiGHp4KK22tKKwWOHZ8izvyaDag1T6Opk5lZp3dvbpWdbEr8F2\nkS0dtndg9LHR7Lm7hz41+jCw9kAMdQ3p6dVT8jupo6XD0DpDeZn1kqGHhuK2zI2jD48yqPYgnoQ/\n4cbgG7Ss3FLyuh3dO0oeNzcwVytr/nuiDNX9EkMdQ8nSBRo0aNCgQRWNR0nDn06YZxi77u5SCQ35\nuv7XpYbdXXh6gSYbmwg7+W9y3jDsyDBup98uNeFduav+qeCT+jYF2aL/SxuntDYGOgbs6LSD8Ohw\nQVq6hnUNGtg3oPLSyrzNfYu1sTU9qvXgTOoZYcfeycyJFa1WiAqEKtmQsIG++/sKry+mXeRi2kVW\ntFxBOaNy5Bfn09yluZCL8SXbb22n2+5uwi7ym5w3XH52mSXBS7AvY09OYQ5BLkEiVb56dvXQkmlJ\nJsC7l3NXW4z38fvHLGi+gA95H7BbrBrO9Dr7NdNip7Gpg2KBX7tCbda3X8+h+4d4+O4hHlYejK4/\nmtoVav/a59NrXn56SRXLKhjpGolCIL/k83NNnZvyc5ufOfLgCE8/PMW7gjdjfMdQtVxVoc2zj894\nm/MWdyt39LT1fvPYYZ5hWBhZEP0wmvTsdPzs/RhTf0ypta7yivIIXB8oyp1afm05xx8dJ35QPFGh\nUYyOHs3r7NeA4j5v6rCJZx+f4RfpR1ZBFqBQk/vmxDckpSepzdkB6F+zP2X1y7IuYR0FxQXoaesJ\nQg9KLA0tJT2LoPCOhbiGsOTyEm6l36KyZWVG1xuNfyV/mm1spiKDfvjBYcb6juXtBOl6UcpizFJY\nG1uz//5+leMnH59k993ddK3WlRJ5CSN8RlDZojLRKdF8zP9IkHMQ4fXDWRW3SmJUBSXyEoYcGiLy\nomTkZBC6PZRH4Y+wMbHB3NCc6B7R9N7XW6hNVcGkAj+1+AlHM0e813iLvGU/XvmR2NRYLg+8rDav\ncGrAVE4+PinyzOpq6bKq9ao/PD8JYHyD8Rx9eFQU1qkl0+KnFj9hbmj+h19fgwYNGv4J/CMMpY/5\nH4lJiQEg2CUYU33T3/0ahcWFHH90nA95HwhwDBDCh/5KXn16xenHpzHVN6W5S/NShQD+Tjx494D2\nbu3xtvEm5X2KIrzMs4vIG/L843NiU2MxMzAjyDkIXW1dfjj7g2S40883fqaGdQ3J/CBnc2chTCjE\nNURyB95Qx1C4drBLsNpd9hauLRRtXINZFS+9MGvh2oIO7h1o69aWxNeJGOgYsDlpM7PO/erFeJ39\nmuVxy5nTdA5tqrShsKQQL2svtGRaJL9JJv5FPBXLVKRRpUbIkTP1zFTJa80+P5sn4U+E3CNQ5P1c\nfX4VW1NbAh0DAVTkiJXMOT+HtDFpoufmUeYjLqVdwtrEmr41+6rUMjLQMaBa+WqSqnugKCI70X8i\nZ1PPql3EH3lwhMeZj+m3v59wr21NbZnfbL4ob0KZG7T37l6K5cWYGZgxocEEvvP/jtZVWguFZ5UY\n6xozvsF4El8n0n9/fyGR3cXchaUtltKicguh7cusl/Tb34+YlBjkyClvXJ4ZjWcwsPZAfOx8VIyA\nckblGOEzgnOp5xh8aLCQpO9p5cnPbX7G115sBOQX5ROTEsOngk80cWqCtYk1225tkxSYuP/2Phtv\nbmRY3WEEVArg5+s/Y6pnytC6QzHQMaD33t6CkfQ5UYlRBFQKkHxeLQwtaOjQkCCXIGY2mcn1F9c5\n9ugYl9Iu0WF7B/rW6Etnz84MqDWAabHTVPpXK1+NehXrkfQ6CSNdI+GfgY4BjzIfcfLxSZU+AL/c\n+IUFQQtEUuCJrxNJep2Ek7kTTZyaCN7bz++tib6J5HigeF6MdI0Ijw4XQi597HxY124dnuUVhZ/7\n1OjDzLMzVfKqZMgoLimWfP5zi3KJSoxiXINxgKJI9I1BN1gZt5KcwhwGeQ/C2sSaJZeWSKra3Xh1\ng913dtOturTc/L239xjrO5a0D2mkfkjFxsSG/rX6i0Rj/kiS3yQzvO5w0j6k8fj9Y0EevLq1elGK\nopIijqccJzMvk4BKAdiVUZ+79U9H+VtsX9Yefwf/UuXtNWjQoODph6eCumwz52ai9cl/K//1htLG\nmxsZfmS44C0w0TNhZauV9PTq+btd42LaRTrt6CSEjuho6TChwQSheOdfwdTTU5lzfo6wMLAxsWFH\npx2lJoz/1RQUF9BnXx+23domHKtevjoHuh0QST5/e+JbFl1aJHiJbE1t2R22m/NPz6sdt0u1Ltx7\ne4+8ojzhuI6WDuMbjGfe+XnkFObQukprjqUcIz07XdR/fIPxbLy5kfTsdGrZ1JLMzehZvSfxL+PZ\neWcnHlYeBDkHcfzRcVGbhg4N0ZJpMfHkRCqVrUS36t3Q0dJh6VXVWksAiy8tZqzvWHS1dSkoLqD3\n3t6imjnVy1dnZauVpH5Ilez/7OMzUj+k4mzuTFFJEf339ycqMUpYFLqXc2ddu3U8ePdAsn96drrg\nxSkuKWbwocFE3ogU+ruauzLWdywH7x/k9afXNHRoyPcB30sWVFWiLNRbWsFeQx1DgqOCRfN6kfWC\n3vt6Y1/WXqin1WNPD1EB3Pd575l4aiLljMqxs/NOfoj9gfUJ63mX+44mTk34ofEPOJR1oPLSyqLP\nOCUzhfbb23Nj8A08rDwAaL21tWinPT07ncGHBlPBpAIxPWOYcnoKW5IUxXhbVm7JzCYzkcvltNzS\nUuSZvJ1xm5DNISQPTxbEDc48OUOXXV2EOehp6zHZf7Kg9CbF+afnyS3MZdKpSULu2axzs4gKjVJb\nuwog0DGQhFcJIqVFGTLmNZsneC2KS4oZfHiwKK/ryIMjjHk2hrnN5nLnzR0hrBTA1cKVXZ13cfrx\naVpsbiHM58rzK2y7tY2ZjWeqnc/7vPfkF+djoGNAdkE2XXd3FRm03hW8GVVvFPuS95GVn0WIawjT\nAqeV6hHKLcxVqWd19flVgjYF8WDkA4z1jKlkVoktHbcw4MAAQfTBUMeQRc0XcfjBYbVjfx5ieuj+\nIXrv7S3kqM0+P5t5zeaVev8vpF1QMZSef3xO221tRc9X+6rtWdlq5Z/iSXqT84b229qL5h3kHMRP\nLX4qVYb86vOrhG4PFcJPdbR0GFN/DPOD5v/hc/47kV+UT+99vUXfCS9rLw50PVCqx1iDhv9l5HI5\no6NHs/zacqEGYqWyldjbZa9knb7/JmT/P8nzMpnMCkhPT0/Hysrq95/Vb+R2+m1qrKqhUphSW6bN\nrWG3RCE2/7/kFObgsMSBt7mq4STbO20nzDPsP77Gv8veu3sJ3aEaf25uYM7TMU8x0VO/O/tXMuXU\nFGaeU11k+dj5cGWgQq1qa9JWuu/prtLGysgKEz0TQbL5S659dQ1DHUMirkRwO+M2rhau2JrYMv/i\nfFH4WGjVUJzMnbj07BI2JjbUtqnN7POzReFHDewb0Ny5OScfn8RYz5iASgFEXIkQLapczV3pX6s/\nJx+fpFheTDOnZmy9tVVkYFkaWrK69Wo67VSfd/X86+fYmtqqvTfeFbxJSk+S9KTpaumSPj4dMwMz\nZp2dxeTTqkUrq5WvRsq7FMmEfW2ZNi/GvqC8cXkWXVzEuOPjVNq4Wbpxd/hd0W7qq0+vqPRjJck5\nrW+3nj41+1BUUoTjj46SOT+hVUPVKh92dO/IrrBd3Htzj6rLpb+/7uXcuTP8DomvE9mQoKjr1Nix\nMV2qdSHyRiRDDw+V7De87nCWtVxG7JNYAjcESrZp4tSEk71PcvnZZcFQauHagvZV2/ND7A+Syn4A\nMxvPZFKjSXzM/4j9EntJhbYwzzDR4uvL9y2lkmaka4SHlYeK3LuSQ90O4W7lTsTlCOJexmFnakeQ\ncxC+9r5CYdHxMeNZeEm1PpkMGQ9GPsDFwoWrz65y8MFB3Czc6O7VHS2ZFt5rvCXV+BzNHHmX+07y\nPXpX8CZukGKuI46MYPm15SptQlxDONrjqOhY3Is46v4sXay3TZU2HLx/UPJcZNtIulfvLuTBmeqZ\n4mjmiK2pLc1dmmNuaM7sc7OZdGqSZP/dYbsJdQ/lZdZLnH9yFm20KOlQtQN7k/dK9p/ReIZKsdgm\nG5pIelzH1B/D4uDFkuP8noRuD5Wcb7+a/YhsFynRQ2EcVPqxkhD2+TmbOmz6XTce/+5MOjmJ2edn\nqxyvX7E+lwZckuihQYOGn+N/ZtAh1RxS+zL2PAp/JJm7/WeSkZFB+fLlAcrL5XJpSVg1/KaZy2Qy\nY+DzLWL1mbN/IusT1qsYSaCQWF53Yx3zgub9x9fYl7xP0kgCWHt97V9iKH2pyqYkMy+T3Xd206dm\nnz95Rr8NdfO++vwqia8T8bL2Ult0MiMng2bOzSQNpVo2tahjq6jjs6bNGgBS36fi8pOLSo7NnuQ9\nbA7dzMLmC8kvyqfikooqORoX0y7SxLEJZ/spavjUW1tPRdzgYeZD4l/Gc6K3QkWv776+Kl6ot7lv\nmXRqEka6RpJ5IGYGZkISurp7E/8yXu1CsbNnZyEBXV3/W+m31C702lVtJ+Q1qet/7+09zj89j7mh\nOUsuLSExPRFnc2fGNxjP/AvzRbv8Hap24Obrm/j87IOVsRVD6gxh4cWFIm+Hv4M/PnY+ag0lZYiT\nOoNY2WZV3CqGHR4meL/WJaxj+bXl1K9Yv9R+gKTKntDmXQrTzkxjeux04dgvN36hhWsLzA3U53Uo\nx95xe4daGeu3OW8l6/hoy7TJLVQ1ZEGxUVPFooqkoeRQ1oFg12B0tHSIaBHBwXsHGXF0BDvv7AQU\nYYHr26+XLC4MCuWzYynHeJv0lgUXF5BVkIUMGdvvbGdh0EK1kuVP3j9hnO84FeNLW6bNjMaKwrKF\nxYVsuLlBsv+xh8dI+5BG2sc0frryEymZKVQvX50RdRWG1edhcpP8J6mo+n3O7Yzb+EX6ieoFacm0\nWNN6jZCHM9h7MKvjV6t49HzsfGjnppCsj0qMkjSSlO9FKl9PT1uP3jV6i46lvEtRG5YaeSOShc0X\noiX74zSUMrIz2H9PNdcLYOutrSxruYxzqedYGbeS51nPqWdXjzH1x3Dj1Q1JIwkUf+f+lwwldb+F\nl59d5nb6bSHcU4MGDb+i7nuT9jGNYw+P/eHlEP5IfquJNx6QTpT4C0nPSVd7Tl0NkX/7Gtnqr1Ha\nuT+Sv+OcfgsZ2eo/E+W50j63+hXrY6RrxLqEdcKipZpVNRpVaiR4/fwd/JkeOJ2zqWcljWhQLBi6\nV+/O8UfHeZPzRm2bGU1mkPIuRW2o2f57+8kpzMFAx0AUMvc5997eo1u1bmy9tVXl3PC6wwVFtNLu\nzVe1v6KguEC04A1yDmJ5y19360v73LtX605hSaEoBCrQMZA1rdf8pv6xqbHMPjdb8ErFvYhTJIWH\n/ER+cT5Z+VnUsKnBkENDRAbZkQdHmNBgAk7mTrz69Arfir40d2muNr8Ffi3c6WHlUaqYRHh0uEre\nyZXnV6hYRrqALYBXeS/FNUrJ0XAydxIZSUqOPjyqVsUMFKE5UPrnmFOYw5aOW/jq4Fe8z3sPQBn9\nMixrsUytUaGc0/gG4/nx8o+CkeVs7szeLnuFXbrb6bfpuKOjyAi7nXGb4KhgXMxd1I597fk11t9c\nL7yWI+fQ/UNk5Weho6WjViRldP3R1LCpwdKrS3mc+ZhaFWoxrM4wmjo3BRT5P+rEU+TI2Zy0mUmn\nJgmfb9yLOAx0DNjUYRNPPzxFjpwOVTvgbuXO6OjRap+ZR5mP1BZVDXUPxdzQHAtDC452P8qiy4s4\nfP8wetp6dK3WlcmNJgvx86U9/yWUsLbNWsKjw4VcMQtDCyLbRqrIupf2+/Uh/wOFxYX/Uir+P+Ft\n7lvJ7wwoxEQWX1rMlNO/KjPGvYhjc9JmhtUZpnbMv/PflN8buVxe6nc4PTsdTzSGkgYNX1La78Tv\ntR7/q/itW1sLgPKf/XP/w2b0b9DQXn3tit+rroW/g/qcn9LO/ZGUOqe/cY6Sus/ESNdIULsr7TMN\nqBTA2rZrSRmVws7OOznf7zye5T2JuBJB2sc0cgpzOJZyjMYbGpfqkVDu3qvbQQYEo6C0NkUlRRSV\nFCGXyyXD0JQMrzucUT6jMNRR5CeY6JkwvsF4pgf+uiD3c/CT7Guka4R/JX+ie0aTOCSRqA5RTAuc\nhpWxFZNOThKMOHXPhL62PgGOARzsdpBbQ2+xucNmpgdOx87UjsmnJnMp7VKp/XW0dNiXvE8ldK9E\nXsLs87MZVW8UUwOncvDeQckd6SWXl9C+anumBU6jrl1dLqZdpIpFFeraqoZZ6WvrM6TOEC6mXSS3\nMFeov/MlDewbqL3fD949kDQMyuqXpZdXLy6mXRSSTL9EW6aNq7mr5LigyL+RUhasYFKBPjUUXtzS\nfnf8Hfzp5NGJp6OfMrfpXGY3mU1qeCq9avT6l78z84Pmkzo6lZ2ddzKv2TwCKgWw6NIidt/ZTXFJ\nMaviVkkWiH2X+06U//c5pnqmorpXnxObGktjx8aS5xo7NsaujB09vXpyZeAVlrdcztMPT2m/vT2W\n8y0ZcWQEOlo6gvH4JRYGFiy9ulRlQZ9XlMfSq0v5zv87JvpPRF9HnwtPL9C3Zl/JcGI3SzdBVONL\ncotyOfLgCJtubsJtmRueKz3Ze3cv/Wr2I2VUCvOD5ovydUr73fR38KdfrX48//o5+7rs48fgH+ni\n2YUdd3awOm61yFtcvXx1yuqXlRynjm2dP9RIAoVwSQWTCpLnXC1cmXdBNcrifd57tc8B/HV/5/4K\nZDKZ2u+wsa6xSI1TgwYNv6LueyNDhp+99Prmv4XfZCjJ5fJsuVyeofwHSMei/cn08Ooh7EB/jpe1\nF92qSSsR/bt423pL1vYpZ1SOsQ3G/i7X+HcZU3+M5IKtnVu7UkOP/mp+aPyDpDLfN37fCCFk4/3G\nS9ZE6eLZhRo2NQBFjkQnj06YG5pLenJyi3J5+O6h2nkoi8I2cWoiGC8qbSor2rhbuQuFYr/E38Gf\nMvpl0NbSprlLc8k2FUwq4GPnQ0SLCF6Ne8WJXifo5dWLYynHaLapGZtuKlT4ZjSe8S/vjaOZIz9e\n+ZFpZ6axJWkLK+JWUG9tPZZcWsK0wGkY6Bio9P/a92usjBV5hE7mTiyPW87UM1PZnLSZVfGraBDZ\ngDnn5vB9wPeSAgyDvQer7NgreZH1glvptwCIeRQj2aawpJATj04w9thY7Bbb0XBdQxwjHLEytqJr\nta5CQdG6tnX5qvZXtNrSCr9IP6our8qDdw8YWHugsPCsbFGZzaGbhTBLKWTION3nNKHuoUJdokDH\nQMI8w6j/S338Iv1w/skZuVxOL69ewnv2svZif9f9ao0KAF1tXc70OUOwSzAyZGjJtGhZuSVn+p4R\nwrz8K/lL1qixMbEhvH44MSkxeKzw4NuT3zLx1EQ8Vnhw4N4BhtUdJll0trFjY+HZqmBagZOPTvLN\niW9Yl7COjTc30mlnJzrt7MSj9+rDCe1M7eharavomJGuEVs6blErFALQy6sXnlbi3XNnc2d+afuL\n8PrIgyN02dVFkMD+VPCJ5deW03NPT2Y2nilZG+or7694kfVC8ppXnl/h/pv7BG0KwuUnFxqua4j/\nOn+6V+suLNh1tHTo7NGZU31OIUO9EtnFZxfpva+3IBqSmZfJ3AtzGXZY1XvSukpryT/0TmZODPJW\nxN2b6pvy8tNLxhwbw8q4lWxJ2sKQw0Oov7Y+mbkKAQhjPWNRLS0lOlo6jPcdz4aEDWy8uZG3OX/M\nn1BdbV0h/PFzZMgI8whT6+W78vwK3aur5oZaGFowwW+CRI9/Lj80/kGlfhjAtw2/payBtBGsQcP/\nOhMbTpQUi+lfqz+VLSv/BTP6/fivFnMAxY7pnHNz2H13NzKZjI7uHfmu4Xe/a52IwuJCllxewsab\nG3mf954glyAm+U/C1UL97vMfzaPMR8w6O4uYRzGU0S9DL69efO379d9eIvzys8vMOT+HuBdxVCxT\nkeF1h6vE+T94+4BZ52Zx4tEJzAzM6FuzL6Prj1ZJBlyfsJ5++/tJXqdS2UqEuIawOn616Hgd2zqc\n6XNGKIIZcTmC0cdGi9rYl7HnQv8L2Je1BxTFWkN3hIq8GKZ6ppzofUKorZP4OpHA9YGCYhYoPBRb\nOm4R8thS36dSb209Fc9LeL1wfgz5UXRv7MvY07tGb3p69RR+fGbEzuD7M9+rvFcdLR2ejn7K86zn\nzD43myvPr2Braktvr970rtFb+OO+4MICJpxQXfRoybR4NOoRmXmZzDo3i4tpF7ExsWFQ7UH0rdmX\nsnPLCspnX/Jw5ENcLFzwXOHJnYw7km16e/VmY+JGleMdqnZga8et5BXlcerxKUmBEg8rD24MukF2\nYTZmBmbIZDLSs9OxX2Iv6VX6IfAHpgQoFqq5hbkUlRQRlRjFsCOqi+NAx0CO9TxGTmGOYIzezbiL\nxwoPyffxc5ufGVh7IKAoSbAqbpWgltjQoSGTG02mdoXa5Bfls+jSIqISo8gqyCLEJYRJjSahLdPG\nbZmbindOT1uPW0NvYahryOxzszl0/xCGuoZ0cu/EkDpDhOfwwtMLNFwnvWtXmowXm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Yzw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\n9t5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hhx/xd/BX8VkppVRi+33WeyKeR4iec+LxCeY0mcMyv2XYm9qjo6GDj60Pp3ud/umG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\niQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1ae6a6b6780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#The Second plots is the data points plot of runtime of movies\n",
    "\n",
    "plt.figure(figsize=(10,5), dpi = 105)\n",
    "#using seaborn to generate the plot\n",
    "sns.swarmplot(tmdb_data['runtime'], color = 'green')\n",
    "#displaying the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    3854.000000\n",
       "mean      109.220291\n",
       "std        19.922820\n",
       "min        15.000000\n",
       "25%        95.000000\n",
       "50%       106.000000\n",
       "75%       119.000000\n",
       "max       338.000000\n",
       "Name: runtime, dtype: float64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#getting specific runtime \n",
    "tmdb_data['runtime'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">Thats amazing!! The plot generated above give a visual of complete distribution of runtime of movies by plotting the points againts their respective position in the ditribution \n",
    ">\n",
    "> Coming to our first plot i.e. box-plot, It gives us an overall idea of how spreaded the ditribution is in case of runtime of the movies. we also get the outliners her if you carefully observe the plot.\n",
    ">\n",
    ">By looking at both the plot and calculations, we can conclude that..\n",
    ">\n",
    "> 1. 25% of movies have a runtime of less than 95 minutes\n",
    "> 2. 50% of movies have a runtime of less than 109 minutes. (median)\n",
    "> 3. 75% of movies have a runtime of less than 119 minutes\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 6 : Year of release vs Profitability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cHBHLPfgxItaIiBOrjyF0HTM/UFP2APJzDJYTEe+N3G1G7fDt6HrA2LQS13Pk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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1ae6a667cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#We will be using Line plot for this analysis\n",
    "#Since we want to know the profits of movies for every year therefore we have to sum up all the movies of a particular year\n",
    "\n",
    "profits_year = tmdb_data.groupby('release_year')['profit_earned'].sum()\n",
    "\n",
    "#figure size(width, height)\n",
    "plt.figure(figsize=(12,6), dpi = 130)\n",
    "\n",
    "#on x-axis\n",
    "plt.xlabel('Release Year of Movies in the data set', fontsize = 12)\n",
    "#on y-axis\n",
    "plt.ylabel('Profits earned by Movies', fontsize = 12)\n",
    "#title of the line plot\n",
    "plt.title('Representing Total Profits earned by all movies Vs Year of their release.')\n",
    "\n",
    "#plotting the graph\n",
    "plt.plot(profits_year)\n",
    "\n",
    "#displaying the line plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2015"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#To find that which year made the highest profit?\n",
    "profits_year.idxmax()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> So we can conclude both graphically as well as by calculations that year 2015 was the year where movies made the highest profit.\n",
    ">\n",
    ">We are now done with analysing the given dataset.We will now find characteristics of profitable movies.\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">### With respect to the profitable movies\n",
    ">\n",
    "> Before moving further we need to clean our data again. We will be considering only those movies who have earned a significant amount of profit. \n",
    ">\n",
    ">**So lets fix this amount to 50 million dollar.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>profit_earned</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>director</th>\n",
       "      <th>tagline</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>release_date</th>\n",
       "      <th>release_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>150000000</td>\n",
       "      <td>1513528810</td>\n",
       "      <td>1363528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>The park is open.</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-06-09</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>150000000</td>\n",
       "      <td>378436354</td>\n",
       "      <td>228436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>What a Lovely Day.</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>110000000</td>\n",
       "      <td>295238201</td>\n",
       "      <td>185238201</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Shailene Woodley|Theo James|Kate Winslet|Ansel...</td>\n",
       "      <td>Robert Schwentke</td>\n",
       "      <td>One Choice Can Destroy You</td>\n",
       "      <td>119</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>2015-03-18</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget     revenue  profit_earned      original_title  \\\n",
       "1  150000000  1513528810     1363528810      Jurassic World   \n",
       "2  150000000   378436354      228436354  Mad Max: Fury Road   \n",
       "3  110000000   295238201      185238201           Insurgent   \n",
       "\n",
       "                                                cast          director  \\\n",
       "1  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...   Colin Trevorrow   \n",
       "2  Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...     George Miller   \n",
       "3  Shailene Woodley|Theo James|Kate Winslet|Ansel...  Robert Schwentke   \n",
       "\n",
       "                      tagline  runtime  \\\n",
       "1           The park is open.      124   \n",
       "2          What a Lovely Day.      120   \n",
       "3  One Choice Can Destroy You      119   \n",
       "\n",
       "                                      genres release_date  release_year  \n",
       "1  Action|Adventure|Science Fiction|Thriller   2015-06-09          2015  \n",
       "2  Action|Adventure|Science Fiction|Thriller   2015-05-13          2015  \n",
       "3         Adventure|Science Fiction|Thriller   2015-03-18          2015  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#selecting the movies having profit $50M or more\n",
    "profit_data = tmdb_data[tmdb_data['profit_earned'] >= 50000000]\n",
    "\n",
    "#reindexing new data\n",
    "profit_data.index = range(len(profit_data))\n",
    "\n",
    "#we will start from 1 instead of 0\n",
    "profit_data.index = profit_data.index + 1\n",
    "\n",
    "#printing the changed dataset\n",
    "profit_data.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1338"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#counting the no.of rows in the new data base\n",
    "len(profit_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> So our dataset is reduced to 1338 from 3853 (in earlier case)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 6 : Succesful Genres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#function which will take any column as argument from and keep its track \n",
    "def data(column):\n",
    "    #will take a column, and separate the string by '|'\n",
    "    data = profit_data[column].str.cat(sep = '|')\n",
    "    \n",
    "    #giving pandas series and storing the values separately\n",
    "    data = pd.Series(data.split('|'))\n",
    "    \n",
    "    #arranging in descending order\n",
    "    count = data.value_counts(ascending = False)\n",
    "    \n",
    "    return count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Comedy       492\n",
       "Drama        481\n",
       "Action       464\n",
       "Thriller     405\n",
       "Adventure    379\n",
       "dtype: int64"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#variable to store the retured value\n",
    "count = data('genres')\n",
    "#printing top 5 values\n",
    "count.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Lets to a graphical analysis of the above collected data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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pRTiCMUFU1Sv7XYMkSZK0shzBkCRJktQZA4YkSZKkzhgwJEmSJHXGgCFJkiSpMwYMSZIk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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x21d73f1ff60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#lets plot the points in descending order top to bottom as we have data in same format.\n",
    "count.sort_values(ascending = True, inplace = True)\n",
    "\n",
    "#ploting\n",
    "lt = count.plot.barh(color = '#00FF00', fontsize = 13)\n",
    "\n",
    "#title\n",
    "lt.set(title = 'Frequent Used Genres in Profitable Movies')\n",
    "\n",
    "# on x axis\n",
    "lt.set_xlabel('Nos.of Movies in the dataset', color = 'black', fontsize = '13')\n",
    "\n",
    "#figure size(width, height)\n",
    "lt.figure.set_size_inches(12, 9)\n",
    "\n",
    "#ploting the graph\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 7 : Most Frequent Cast"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">We will call the same function **data(column)** again for this analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Tom Cruise            27\n",
       "Brad Pitt             25\n",
       "Tom Hanks             22\n",
       "Sylvester Stallone    21\n",
       "Cameron Diaz          20\n",
       "dtype: int64"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#variable to store the retured value\n",
    "count = data('cast')\n",
    "#printing top 5 values\n",
    "count.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> As expecteted Tom Cruise is on the top with total 27 cast followed by Brad Pitt with 25 and Tom Hanks with 22.  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 8 : Average Budget of the movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#New function to find average \n",
    "def profit_avg(column):\n",
    "    return profit_data[column].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "60444957.76083707"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# calling the above function for budget\n",
    "profit_avg('budget')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> So the movies having profit of 50 million dollar and more have an average budget of 60 million dollar."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 9 : Average Revenue earned by the movies\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "254957662.59491777"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# calling the above function for revenue\n",
    "profit_avg('revenue')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">So the movies having profit of 50 million dollar and more have an average revenue of 255 million dollar."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 10 : Average duration of the movies\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "113.66741405082212"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# calling the above function for \n",
    "profit_avg('runtime')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">So the movies having profit of 50 million dollar and more have an average duration of 113 minutes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='conclusions'></a>\n",
    "## Conclusions\n",
    "> This was a very interesting data analysis. We came out with some very interesting facts about movies. After this analysis we can conclude following:\n",
    ">\n",
    "> **For a Movie to be in successful criteria**\n",
    "> 1. Average Budget must be around 60 millon dollar\n",
    "> 2. Average duration of the movie must be 113 minutes \n",
    "> 3. Any one of these should be in the cast :Tom Cruise, Brad Pitt, Tom Hanks, Sylvester Stallone,Cameron Diaz\n",
    "> 4. Genre must be : Action, Adventure, Thriller, Comedy, Drama.\n",
    ">\n",
    "> By doing all this the movie might be one of the hits and hence can earn an average revenue of around 255 million  dollar.\n",
    ">\n",
    ">**Limitations: **This analysis was done considering the movies which had a significant amount of profit of around 50 million dollar. This might not be completely error free but by following these suggestion one can increase the probability of a movie to become a hit. Moreover we are not sure if the data provided to us is completel corect and up-to-date. As mentioned before the budget and revenue column do not have currency unit, it might be possible different movies have budget in different currency according to the country they are produce in. So a disparity arises here which can state the complete analysis wrong. Dropping the rows with missing values also affected the overall analysis. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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