diff --git a/pandas_homework_imdb.ipynb b/pandas_homework_imdb.ipynb
index d560191..e165dc0 100644
--- a/pandas_homework_imdb.ipynb
+++ b/pandas_homework_imdb.ipynb
@@ -1,21 +1,17 @@
 {
  "cells": [
   {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "markdown",
    "metadata": {
     "collapsed": true
    },
-   "outputs": [],
    "source": [
-    "'''\n",
-    "Pandas with IMDb data\n",
-    "'''"
+    "# Pandas Homework with IMDb data"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -26,7 +22,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -60,7 +56,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>0</th>\n",
+       "      <td>0</td>\n",
        "      <td>9.3</td>\n",
        "      <td>The Shawshank Redemption</td>\n",
        "      <td>R</td>\n",
@@ -69,7 +65,7 @@
        "      <td>[u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
+       "      <td>1</td>\n",
        "      <td>9.2</td>\n",
        "      <td>The Godfather</td>\n",
        "      <td>R</td>\n",
@@ -78,7 +74,7 @@
        "      <td>[u'Marlon Brando', u'Al Pacino', u'James Caan']</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
+       "      <td>2</td>\n",
        "      <td>9.1</td>\n",
        "      <td>The Godfather: Part II</td>\n",
        "      <td>R</td>\n",
@@ -87,7 +83,7 @@
        "      <td>[u'Al Pacino', u'Robert De Niro', u'Robert Duv...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
+       "      <td>3</td>\n",
        "      <td>9.0</td>\n",
        "      <td>The Dark Knight</td>\n",
        "      <td>PG-13</td>\n",
@@ -96,7 +92,7 @@
        "      <td>[u'Christian Bale', u'Heath Ledger', u'Aaron E...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
+       "      <td>4</td>\n",
        "      <td>8.9</td>\n",
        "      <td>Pulp Fiction</td>\n",
        "      <td>R</td>\n",
@@ -124,7 +120,7 @@
        "4  [u'John Travolta', u'Uma Thurman', u'Samuel L....  "
       ]
      },
-     "execution_count": 3,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -138,28 +134,67 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 262,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(979, 6)"
+       "<bound method DataFrame.info of      star_rating                                            title  \\\n",
+       "0            9.3                         The Shawshank Redemption   \n",
+       "1            9.2                                    The Godfather   \n",
+       "2            9.1                           The Godfather: Part II   \n",
+       "3            9.0                                  The Dark Knight   \n",
+       "4            8.9                                     Pulp Fiction   \n",
+       "..           ...                                              ...   \n",
+       "974          7.4                                          Tootsie   \n",
+       "975          7.4                      Back to the Future Part III   \n",
+       "976          7.4  Master and Commander: The Far Side of the World   \n",
+       "977          7.4                                      Poltergeist   \n",
+       "978          7.4                                      Wall Street   \n",
+       "\n",
+       "    content_rating      genre  duration  \\\n",
+       "0                R      Crime       142   \n",
+       "1                R      Crime       175   \n",
+       "2                R      Crime       200   \n",
+       "3            PG-13     Action       152   \n",
+       "4                R      Crime       154   \n",
+       "..             ...        ...       ...   \n",
+       "974             PG     Comedy       116   \n",
+       "975             PG  Adventure       118   \n",
+       "976          PG-13     Action       138   \n",
+       "977             PG     Horror       114   \n",
+       "978              R      Crime       126   \n",
+       "\n",
+       "                                           actors_list  \n",
+       "0    [u'Tim Robbins', u'Morgan Freeman', u'Bob Gunt...  \n",
+       "1      [u'Marlon Brando', u'Al Pacino', u'James Caan']  \n",
+       "2    [u'Al Pacino', u'Robert De Niro', u'Robert Duv...  \n",
+       "3    [u'Christian Bale', u'Heath Ledger', u'Aaron E...  \n",
+       "4    [u'John Travolta', u'Uma Thurman', u'Samuel L....  \n",
+       "..                                                 ...  \n",
+       "974  [u'Dustin Hoffman', u'Jessica Lange', u'Teri G...  \n",
+       "975  [u'Michael J. Fox', u'Christopher Lloyd', u'Ma...  \n",
+       "976  [u'Russell Crowe', u'Paul Bettany', u'Billy Bo...  \n",
+       "977  [u'JoBeth Williams', u\"Heather O'Rourke\", u'Cr...  \n",
+       "978  [u'Charlie Sheen', u'Michael Douglas', u'Tamar...  \n",
+       "\n",
+       "[979 rows x 6 columns]>"
       ]
      },
-     "execution_count": 262,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# check the number of rows and columns\n",
-    "movies.shape"
+    "movies.info"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 263,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -174,7 +209,7 @@
        "dtype: object"
       ]
      },
-     "execution_count": 263,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -186,7 +221,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -195,7 +230,7 @@
        "120.97957099080695"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -207,7 +242,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -241,7 +276,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>389</th>\n",
+       "      <td>389</td>\n",
        "      <td>8.0</td>\n",
        "      <td>Freaks</td>\n",
        "      <td>UNRATED</td>\n",
@@ -250,7 +285,7 @@
        "      <td>[u'Wallace Ford', u'Leila Hyams', u'Olga Bacla...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>338</th>\n",
+       "      <td>338</td>\n",
        "      <td>8.0</td>\n",
        "      <td>Battleship Potemkin</td>\n",
        "      <td>UNRATED</td>\n",
@@ -259,7 +294,7 @@
        "      <td>[u'Aleksandr Antonov', u'Vladimir Barsky', u'G...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>258</th>\n",
+       "      <td>258</td>\n",
        "      <td>8.1</td>\n",
        "      <td>The Cabinet of Dr. Caligari</td>\n",
        "      <td>UNRATED</td>\n",
@@ -268,7 +303,7 @@
        "      <td>[u'Werner Krauss', u'Conrad Veidt', u'Friedric...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>293</th>\n",
+       "      <td>293</td>\n",
        "      <td>8.1</td>\n",
        "      <td>Duck Soup</td>\n",
        "      <td>PASSED</td>\n",
@@ -277,7 +312,7 @@
        "      <td>[u'Groucho Marx', u'Harpo Marx', u'Chico Marx']</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>88</th>\n",
+       "      <td>88</td>\n",
        "      <td>8.4</td>\n",
        "      <td>The Kid</td>\n",
        "      <td>NOT RATED</td>\n",
@@ -286,232 +321,7 @@
        "      <td>[u'Charles Chaplin', u'Edna Purviance', u'Jack...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>742</th>\n",
-       "      <td>7.6</td>\n",
-       "      <td>Following</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Mystery</td>\n",
-       "      <td>69</td>\n",
-       "      <td>[u'Jeremy Theobald', u'Alex Haw', u'Lucy Russe...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>351</th>\n",
-       "      <td>8.0</td>\n",
-       "      <td>Frankenstein</td>\n",
-       "      <td>UNRATED</td>\n",
-       "      <td>Horror</td>\n",
-       "      <td>70</td>\n",
-       "      <td>[u'Colin Clive', u'Mae Clarke', u'Boris Karloff']</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>938</th>\n",
-       "      <td>7.4</td>\n",
-       "      <td>Alice in Wonderland</td>\n",
-       "      <td>G</td>\n",
-       "      <td>Animation</td>\n",
-       "      <td>75</td>\n",
-       "      <td>[u'Kathryn Beaumont', u'Ed Wynn', u'Richard Ha...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>405</th>\n",
-       "      <td>7.9</td>\n",
-       "      <td>The Bride of Frankenstein</td>\n",
-       "      <td>NOT RATED</td>\n",
-       "      <td>Horror</td>\n",
-       "      <td>75</td>\n",
-       "      <td>[u'Boris Karloff', u'Elsa Lanchester', u'Colin...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>303</th>\n",
-       "      <td>8.0</td>\n",
-       "      <td>The Nightmare Before Christmas</td>\n",
-       "      <td>PG</td>\n",
-       "      <td>Animation</td>\n",
-       "      <td>76</td>\n",
-       "      <td>[u'Danny Elfman', u'Chris Sarandon', u\"Catheri...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>713</th>\n",
-       "      <td>7.6</td>\n",
-       "      <td>The Jungle Book</td>\n",
-       "      <td>APPROVED</td>\n",
-       "      <td>Animation</td>\n",
-       "      <td>78</td>\n",
-       "      <td>[u'Phil Harris', u'Sebastian Cabot', u'Louis P...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>864</th>\n",
-       "      <td>7.5</td>\n",
-       "      <td>[Rec]</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Horror</td>\n",
-       "      <td>78</td>\n",
-       "      <td>[u'Manuela Velasco', u'Ferran Terraza', u'Jorg...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>489</th>\n",
-       "      <td>7.8</td>\n",
-       "      <td>The Triplets of Belleville</td>\n",
-       "      <td>PG-13</td>\n",
-       "      <td>Animation</td>\n",
-       "      <td>78</td>\n",
-       "      <td>[u'Mich\\xe8le Caucheteux', u'Jean-Claude Donda...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>535</th>\n",
-       "      <td>7.8</td>\n",
-       "      <td>Zelig</td>\n",
-       "      <td>PG</td>\n",
-       "      <td>Comedy</td>\n",
-       "      <td>79</td>\n",
-       "      <td>[u'Woody Allen', u'Mia Farrow', u'Patrick Horg...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>513</th>\n",
-       "      <td>7.8</td>\n",
-       "      <td>Invasion of the Body Snatchers</td>\n",
-       "      <td>APPROVED</td>\n",
-       "      <td>Horror</td>\n",
-       "      <td>80</td>\n",
-       "      <td>[u'Kevin McCarthy', u'Dana Wynter', u'Larry Ga...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>853</th>\n",
-       "      <td>7.5</td>\n",
-       "      <td>L'illusionniste</td>\n",
-       "      <td>PG</td>\n",
-       "      <td>Animation</td>\n",
-       "      <td>80</td>\n",
-       "      <td>[u'Jean-Claude Donda', u'Eilidh Rankin', u'Dun...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>533</th>\n",
-       "      <td>7.8</td>\n",
-       "      <td>Run Lola Run</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Action</td>\n",
-       "      <td>80</td>\n",
-       "      <td>[u'Franka Potente', u'Moritz Bleibtreu', u'Her...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>283</th>\n",
-       "      <td>8.1</td>\n",
-       "      <td>Before Sunset</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Drama</td>\n",
-       "      <td>80</td>\n",
-       "      <td>[u'Ethan Hawke', u'Julie Delpy', u'Vernon Dobt...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>297</th>\n",
-       "      <td>8.0</td>\n",
-       "      <td>Rope</td>\n",
-       "      <td>PG</td>\n",
-       "      <td>Crime</td>\n",
-       "      <td>80</td>\n",
-       "      <td>[u'James Stewart', u'John Dall', u'Farley Gran...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>622</th>\n",
-       "      <td>7.7</td>\n",
-       "      <td>The Dinner Game</td>\n",
-       "      <td>PG-13</td>\n",
-       "      <td>Comedy</td>\n",
-       "      <td>80</td>\n",
-       "      <td>[u'Thierry Lhermitte', u'Jacques Villeret', u'...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>117</th>\n",
-       "      <td>8.3</td>\n",
-       "      <td>Toy Story</td>\n",
-       "      <td>G</td>\n",
-       "      <td>Animation</td>\n",
-       "      <td>81</td>\n",
-       "      <td>[u'Tom Hanks', u'Tim Allen', u'Don Rickles']</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>541</th>\n",
-       "      <td>7.8</td>\n",
-       "      <td>South Park: Bigger Longer &amp; Uncut</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Animation</td>\n",
-       "      <td>81</td>\n",
-       "      <td>[u'Trey Parker', u'Matt Stone', u'Mary Kay Ber...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>738</th>\n",
-       "      <td>7.6</td>\n",
-       "      <td>Army of Darkness</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Comedy</td>\n",
-       "      <td>81</td>\n",
-       "      <td>[u'Bruce Campbell', u'Embeth Davidtz', u'Marcu...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>789</th>\n",
-       "      <td>7.6</td>\n",
-       "      <td>Ice Age</td>\n",
-       "      <td>PG</td>\n",
-       "      <td>Animation</td>\n",
-       "      <td>81</td>\n",
-       "      <td>[u'Denis Leary', u'John Leguizamo', u'Ray Roma...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>330</th>\n",
-       "      <td>8.0</td>\n",
-       "      <td>Nosferatu</td>\n",
-       "      <td>UNRATED</td>\n",
-       "      <td>Horror</td>\n",
-       "      <td>81</td>\n",
-       "      <td>[u'Max Schreck', u'Greta Schr\\xf6der', u'Ruth ...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>595</th>\n",
-       "      <td>7.7</td>\n",
-       "      <td>The Purple Rose of Cairo</td>\n",
-       "      <td>PG</td>\n",
-       "      <td>Comedy</td>\n",
-       "      <td>82</td>\n",
-       "      <td>[u'Mia Farrow', u'Jeff Daniels', u'Danny Aiello']</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>306</th>\n",
-       "      <td>8.0</td>\n",
-       "      <td>This Is Spinal Tap</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Comedy</td>\n",
-       "      <td>82</td>\n",
-       "      <td>[u'Rob Reiner', u'Michael McKean', u'Christoph...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>174</th>\n",
-       "      <td>8.2</td>\n",
-       "      <td>Persona</td>\n",
-       "      <td>NOT RATED</td>\n",
-       "      <td>Drama</td>\n",
-       "      <td>83</td>\n",
-       "      <td>[u'Bibi Andersson', u'Liv Ullmann', u'Margaret...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>759</th>\n",
-       "      <td>7.6</td>\n",
-       "      <td>Robin Hood</td>\n",
-       "      <td>G</td>\n",
-       "      <td>Animation</td>\n",
-       "      <td>83</td>\n",
-       "      <td>[u'Brian Bedford', u'Phil Harris', u'Roger Mil...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>766</th>\n",
-       "      <td>7.6</td>\n",
-       "      <td>The Little Mermaid</td>\n",
-       "      <td>G</td>\n",
-       "      <td>Animation</td>\n",
-       "      <td>83</td>\n",
-       "      <td>[u'Jodi Benson', u'Samuel E. Wright', u'Rene A...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
+       "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
@@ -520,232 +330,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>361</th>\n",
-       "      <td>8.0</td>\n",
-       "      <td>Fiddler on the Roof</td>\n",
-       "      <td>G</td>\n",
-       "      <td>Drama</td>\n",
-       "      <td>181</td>\n",
-       "      <td>[u'Topol', u'Norma Crane', u'Leonard Frey']</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>166</th>\n",
-       "      <td>8.2</td>\n",
-       "      <td>The Deer Hunter</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Drama</td>\n",
-       "      <td>182</td>\n",
-       "      <td>[u'Robert De Niro', u'Christopher Walken', u'J...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>109</th>\n",
-       "      <td>8.3</td>\n",
-       "      <td>Dil Chahta Hai</td>\n",
-       "      <td>NOT RATED</td>\n",
-       "      <td>Comedy</td>\n",
-       "      <td>183</td>\n",
-       "      <td>[u'Aamir Khan', u'Saif Ali Khan', u'Akshaye Kh...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>245</th>\n",
-       "      <td>8.1</td>\n",
-       "      <td>Barry Lyndon</td>\n",
-       "      <td>PG</td>\n",
-       "      <td>Adventure</td>\n",
-       "      <td>184</td>\n",
-       "      <td>[u\"Ryan O'Neal\", u'Marisa Berenson', u'Patrick...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>132</th>\n",
-       "      <td>8.3</td>\n",
-       "      <td>Judgment at Nuremberg</td>\n",
-       "      <td>NOT RATED</td>\n",
-       "      <td>Drama</td>\n",
-       "      <td>186</td>\n",
-       "      <td>[u'Spencer Tracy', u'Burt Lancaster', u'Richar...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>611</th>\n",
-       "      <td>7.7</td>\n",
-       "      <td>Short Cuts</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Comedy</td>\n",
-       "      <td>187</td>\n",
-       "      <td>[u'Andie MacDowell', u'Julianne Moore', u'Tim ...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>318</th>\n",
-       "      <td>8.0</td>\n",
-       "      <td>Magnolia</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Drama</td>\n",
-       "      <td>188</td>\n",
-       "      <td>[u'Tom Cruise', u'Jason Robards', u'Julianne M...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>184</th>\n",
-       "      <td>8.2</td>\n",
-       "      <td>Fanny and Alexander</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Drama</td>\n",
-       "      <td>188</td>\n",
-       "      <td>[u'Bertil Guve', u'Pernilla Allwin', u'Kristin...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>89</th>\n",
-       "      <td>8.4</td>\n",
-       "      <td>Swades</td>\n",
-       "      <td>NOT RATED</td>\n",
-       "      <td>Drama</td>\n",
-       "      <td>189</td>\n",
-       "      <td>[u'Shah Rukh Khan', u'Gayatri Joshi', u'Kishor...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>316</th>\n",
-       "      <td>8.0</td>\n",
-       "      <td>JFK</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Drama</td>\n",
-       "      <td>189</td>\n",
-       "      <td>[u'Kevin Costner', u'Gary Oldman', u'Jack Lemm...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>40</th>\n",
-       "      <td>8.5</td>\n",
-       "      <td>The Green Mile</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Crime</td>\n",
-       "      <td>189</td>\n",
-       "      <td>[u'Tom Hanks', u'Michael Clarke Duncan', u'Dav...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>671</th>\n",
-       "      <td>7.7</td>\n",
-       "      <td>Grindhouse</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Action</td>\n",
-       "      <td>191</td>\n",
-       "      <td>[u'Kurt Russell', u'Rose McGowan', u'Danny Tre...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>220</th>\n",
-       "      <td>8.1</td>\n",
-       "      <td>Gandhi</td>\n",
-       "      <td>PG</td>\n",
-       "      <td>Biography</td>\n",
-       "      <td>191</td>\n",
-       "      <td>[u'Ben Kingsley', u'John Gielgud', u'Candice B...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>424</th>\n",
-       "      <td>7.9</td>\n",
-       "      <td>The Right Stuff</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Adventure</td>\n",
-       "      <td>193</td>\n",
-       "      <td>[u'Sam Shepard', u'Scott Glenn', u'Ed Harris']</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>620</th>\n",
-       "      <td>7.7</td>\n",
-       "      <td>Titanic</td>\n",
-       "      <td>PG-13</td>\n",
-       "      <td>Drama</td>\n",
-       "      <td>194</td>\n",
-       "      <td>[u'Leonardo DiCaprio', u'Kate Winslet', u'Bill...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>8.9</td>\n",
-       "      <td>Schindler's List</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Biography</td>\n",
-       "      <td>195</td>\n",
-       "      <td>[u'Liam Neeson', u'Ralph Fiennes', u'Ben Kings...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>385</th>\n",
-       "      <td>8.0</td>\n",
-       "      <td>Spartacus</td>\n",
-       "      <td>PG-13</td>\n",
-       "      <td>Action</td>\n",
-       "      <td>197</td>\n",
-       "      <td>[u'Kirk Douglas', u'Laurence Olivier', u'Jean ...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>335</th>\n",
-       "      <td>8.0</td>\n",
-       "      <td>Doctor Zhivago</td>\n",
-       "      <td>PG-13</td>\n",
-       "      <td>Drama</td>\n",
-       "      <td>197</td>\n",
-       "      <td>[u'Omar Sharif', u'Julie Christie', u'Geraldin...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>9.1</td>\n",
-       "      <td>The Godfather: Part II</td>\n",
-       "      <td>R</td>\n",
-       "      <td>Crime</td>\n",
-       "      <td>200</td>\n",
-       "      <td>[u'Al Pacino', u'Robert De Niro', u'Robert Duv...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>8.9</td>\n",
-       "      <td>The Lord of the Rings: The Return of the King</td>\n",
-       "      <td>PG-13</td>\n",
-       "      <td>Adventure</td>\n",
-       "      <td>201</td>\n",
-       "      <td>[u'Elijah Wood', u'Viggo Mortensen', u'Ian McK...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>630</th>\n",
-       "      <td>7.7</td>\n",
-       "      <td>Malcolm X</td>\n",
-       "      <td>PG-13</td>\n",
-       "      <td>Biography</td>\n",
-       "      <td>202</td>\n",
-       "      <td>[u'Denzel Washington', u'Angela Bassett', u'De...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>767</th>\n",
-       "      <td>7.6</td>\n",
-       "      <td>It's a Mad, Mad, Mad, Mad World</td>\n",
-       "      <td>APPROVED</td>\n",
-       "      <td>Action</td>\n",
-       "      <td>205</td>\n",
-       "      <td>[u'Spencer Tracy', u'Milton Berle', u'Ethel Me...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>8.7</td>\n",
-       "      <td>Seven Samurai</td>\n",
-       "      <td>UNRATED</td>\n",
-       "      <td>Drama</td>\n",
-       "      <td>207</td>\n",
-       "      <td>[u'Toshir\\xf4 Mifune', u'Takashi Shimura', u'K...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>204</th>\n",
-       "      <td>8.1</td>\n",
-       "      <td>Ben-Hur</td>\n",
-       "      <td>G</td>\n",
-       "      <td>Adventure</td>\n",
-       "      <td>212</td>\n",
-       "      <td>[u'Charlton Heston', u'Jack Hawkins', u'Stephe...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>85</th>\n",
-       "      <td>8.4</td>\n",
-       "      <td>Lawrence of Arabia</td>\n",
-       "      <td>PG</td>\n",
-       "      <td>Adventure</td>\n",
-       "      <td>216</td>\n",
-       "      <td>[u\"Peter O'Toole\", u'Alec Guinness', u'Anthony...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>445</th>\n",
+       "      <td>445</td>\n",
        "      <td>7.9</td>\n",
        "      <td>The Ten Commandments</td>\n",
        "      <td>APPROVED</td>\n",
@@ -754,7 +339,7 @@
        "      <td>[u'Charlton Heston', u'Yul Brynner', u'Anne Ba...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>142</th>\n",
+       "      <td>142</td>\n",
        "      <td>8.3</td>\n",
        "      <td>Lagaan: Once Upon a Time in India</td>\n",
        "      <td>PG</td>\n",
@@ -763,7 +348,7 @@
        "      <td>[u'Aamir Khan', u'Gracy Singh', u'Rachel Shell...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>78</th>\n",
+       "      <td>78</td>\n",
        "      <td>8.4</td>\n",
        "      <td>Once Upon a Time in America</td>\n",
        "      <td>R</td>\n",
@@ -772,7 +357,7 @@
        "      <td>[u'Robert De Niro', u'James Woods', u'Elizabet...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>157</th>\n",
+       "      <td>157</td>\n",
        "      <td>8.2</td>\n",
        "      <td>Gone with the Wind</td>\n",
        "      <td>G</td>\n",
@@ -781,7 +366,7 @@
        "      <td>[u'Clark Gable', u'Vivien Leigh', u'Thomas Mit...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>476</th>\n",
+       "      <td>476</td>\n",
        "      <td>7.8</td>\n",
        "      <td>Hamlet</td>\n",
        "      <td>PG-13</td>\n",
@@ -795,199 +380,36 @@
        "</div>"
       ],
       "text/plain": [
-       "     star_rating                                          title  \\\n",
-       "389          8.0                                         Freaks   \n",
-       "338          8.0                            Battleship Potemkin   \n",
-       "258          8.1                    The Cabinet of Dr. Caligari   \n",
-       "293          8.1                                      Duck Soup   \n",
-       "88           8.4                                        The Kid   \n",
-       "742          7.6                                      Following   \n",
-       "351          8.0                                   Frankenstein   \n",
-       "938          7.4                            Alice in Wonderland   \n",
-       "405          7.9                      The Bride of Frankenstein   \n",
-       "303          8.0                 The Nightmare Before Christmas   \n",
-       "713          7.6                                The Jungle Book   \n",
-       "864          7.5                                          [Rec]   \n",
-       "489          7.8                     The Triplets of Belleville   \n",
-       "535          7.8                                          Zelig   \n",
-       "513          7.8                 Invasion of the Body Snatchers   \n",
-       "853          7.5                                L'illusionniste   \n",
-       "533          7.8                                   Run Lola Run   \n",
-       "283          8.1                                  Before Sunset   \n",
-       "297          8.0                                           Rope   \n",
-       "622          7.7                                The Dinner Game   \n",
-       "117          8.3                                      Toy Story   \n",
-       "541          7.8              South Park: Bigger Longer & Uncut   \n",
-       "738          7.6                               Army of Darkness   \n",
-       "789          7.6                                        Ice Age   \n",
-       "330          8.0                                      Nosferatu   \n",
-       "595          7.7                       The Purple Rose of Cairo   \n",
-       "306          8.0                             This Is Spinal Tap   \n",
-       "174          8.2                                        Persona   \n",
-       "759          7.6                                     Robin Hood   \n",
-       "766          7.6                             The Little Mermaid   \n",
-       "..           ...                                            ...   \n",
-       "361          8.0                            Fiddler on the Roof   \n",
-       "166          8.2                                The Deer Hunter   \n",
-       "109          8.3                                 Dil Chahta Hai   \n",
-       "245          8.1                                   Barry Lyndon   \n",
-       "132          8.3                          Judgment at Nuremberg   \n",
-       "611          7.7                                     Short Cuts   \n",
-       "318          8.0                                       Magnolia   \n",
-       "184          8.2                            Fanny and Alexander   \n",
-       "89           8.4                                         Swades   \n",
-       "316          8.0                                            JFK   \n",
-       "40           8.5                                 The Green Mile   \n",
-       "671          7.7                                     Grindhouse   \n",
-       "220          8.1                                         Gandhi   \n",
-       "424          7.9                                The Right Stuff   \n",
-       "620          7.7                                        Titanic   \n",
-       "8            8.9                               Schindler's List   \n",
-       "385          8.0                                      Spartacus   \n",
-       "335          8.0                                 Doctor Zhivago   \n",
-       "2            9.1                         The Godfather: Part II   \n",
-       "7            8.9  The Lord of the Rings: The Return of the King   \n",
-       "630          7.7                                      Malcolm X   \n",
-       "767          7.6                It's a Mad, Mad, Mad, Mad World   \n",
-       "17           8.7                                  Seven Samurai   \n",
-       "204          8.1                                        Ben-Hur   \n",
-       "85           8.4                             Lawrence of Arabia   \n",
-       "445          7.9                           The Ten Commandments   \n",
-       "142          8.3              Lagaan: Once Upon a Time in India   \n",
-       "78           8.4                    Once Upon a Time in America   \n",
-       "157          8.2                             Gone with the Wind   \n",
-       "476          7.8                                         Hamlet   \n",
+       "     star_rating                              title content_rating      genre  \\\n",
+       "389          8.0                             Freaks        UNRATED      Drama   \n",
+       "338          8.0                Battleship Potemkin        UNRATED    History   \n",
+       "258          8.1        The Cabinet of Dr. Caligari        UNRATED      Crime   \n",
+       "293          8.1                          Duck Soup         PASSED     Comedy   \n",
+       "88           8.4                            The Kid      NOT RATED     Comedy   \n",
+       "..           ...                                ...            ...        ...   \n",
+       "445          7.9               The Ten Commandments       APPROVED  Adventure   \n",
+       "142          8.3  Lagaan: Once Upon a Time in India             PG  Adventure   \n",
+       "78           8.4        Once Upon a Time in America              R      Crime   \n",
+       "157          8.2                 Gone with the Wind              G      Drama   \n",
+       "476          7.8                             Hamlet          PG-13      Drama   \n",
        "\n",
-       "    content_rating      genre  duration  \\\n",
-       "389        UNRATED      Drama        64   \n",
-       "338        UNRATED    History        66   \n",
-       "258        UNRATED      Crime        67   \n",
-       "293         PASSED     Comedy        68   \n",
-       "88       NOT RATED     Comedy        68   \n",
-       "742              R    Mystery        69   \n",
-       "351        UNRATED     Horror        70   \n",
-       "938              G  Animation        75   \n",
-       "405      NOT RATED     Horror        75   \n",
-       "303             PG  Animation        76   \n",
-       "713       APPROVED  Animation        78   \n",
-       "864              R     Horror        78   \n",
-       "489          PG-13  Animation        78   \n",
-       "535             PG     Comedy        79   \n",
-       "513       APPROVED     Horror        80   \n",
-       "853             PG  Animation        80   \n",
-       "533              R     Action        80   \n",
-       "283              R      Drama        80   \n",
-       "297             PG      Crime        80   \n",
-       "622          PG-13     Comedy        80   \n",
-       "117              G  Animation        81   \n",
-       "541              R  Animation        81   \n",
-       "738              R     Comedy        81   \n",
-       "789             PG  Animation        81   \n",
-       "330        UNRATED     Horror        81   \n",
-       "595             PG     Comedy        82   \n",
-       "306              R     Comedy        82   \n",
-       "174      NOT RATED      Drama        83   \n",
-       "759              G  Animation        83   \n",
-       "766              G  Animation        83   \n",
-       "..             ...        ...       ...   \n",
-       "361              G      Drama       181   \n",
-       "166              R      Drama       182   \n",
-       "109      NOT RATED     Comedy       183   \n",
-       "245             PG  Adventure       184   \n",
-       "132      NOT RATED      Drama       186   \n",
-       "611              R     Comedy       187   \n",
-       "318              R      Drama       188   \n",
-       "184              R      Drama       188   \n",
-       "89       NOT RATED      Drama       189   \n",
-       "316              R      Drama       189   \n",
-       "40               R      Crime       189   \n",
-       "671              R     Action       191   \n",
-       "220             PG  Biography       191   \n",
-       "424              R  Adventure       193   \n",
-       "620          PG-13      Drama       194   \n",
-       "8                R  Biography       195   \n",
-       "385          PG-13     Action       197   \n",
-       "335          PG-13      Drama       197   \n",
-       "2                R      Crime       200   \n",
-       "7            PG-13  Adventure       201   \n",
-       "630          PG-13  Biography       202   \n",
-       "767       APPROVED     Action       205   \n",
-       "17         UNRATED      Drama       207   \n",
-       "204              G  Adventure       212   \n",
-       "85              PG  Adventure       216   \n",
-       "445       APPROVED  Adventure       220   \n",
-       "142             PG  Adventure       224   \n",
-       "78               R      Crime       229   \n",
-       "157              G      Drama       238   \n",
-       "476          PG-13      Drama       242   \n",
-       "\n",
-       "                                           actors_list  \n",
-       "389  [u'Wallace Ford', u'Leila Hyams', u'Olga Bacla...  \n",
-       "338  [u'Aleksandr Antonov', u'Vladimir Barsky', u'G...  \n",
-       "258  [u'Werner Krauss', u'Conrad Veidt', u'Friedric...  \n",
-       "293    [u'Groucho Marx', u'Harpo Marx', u'Chico Marx']  \n",
-       "88   [u'Charles Chaplin', u'Edna Purviance', u'Jack...  \n",
-       "742  [u'Jeremy Theobald', u'Alex Haw', u'Lucy Russe...  \n",
-       "351  [u'Colin Clive', u'Mae Clarke', u'Boris Karloff']  \n",
-       "938  [u'Kathryn Beaumont', u'Ed Wynn', u'Richard Ha...  \n",
-       "405  [u'Boris Karloff', u'Elsa Lanchester', u'Colin...  \n",
-       "303  [u'Danny Elfman', u'Chris Sarandon', u\"Catheri...  \n",
-       "713  [u'Phil Harris', u'Sebastian Cabot', u'Louis P...  \n",
-       "864  [u'Manuela Velasco', u'Ferran Terraza', u'Jorg...  \n",
-       "489  [u'Mich\\xe8le Caucheteux', u'Jean-Claude Donda...  \n",
-       "535  [u'Woody Allen', u'Mia Farrow', u'Patrick Horg...  \n",
-       "513  [u'Kevin McCarthy', u'Dana Wynter', u'Larry Ga...  \n",
-       "853  [u'Jean-Claude Donda', u'Eilidh Rankin', u'Dun...  \n",
-       "533  [u'Franka Potente', u'Moritz Bleibtreu', u'Her...  \n",
-       "283  [u'Ethan Hawke', u'Julie Delpy', u'Vernon Dobt...  \n",
-       "297  [u'James Stewart', u'John Dall', u'Farley Gran...  \n",
-       "622  [u'Thierry Lhermitte', u'Jacques Villeret', u'...  \n",
-       "117       [u'Tom Hanks', u'Tim Allen', u'Don Rickles']  \n",
-       "541  [u'Trey Parker', u'Matt Stone', u'Mary Kay Ber...  \n",
-       "738  [u'Bruce Campbell', u'Embeth Davidtz', u'Marcu...  \n",
-       "789  [u'Denis Leary', u'John Leguizamo', u'Ray Roma...  \n",
-       "330  [u'Max Schreck', u'Greta Schr\\xf6der', u'Ruth ...  \n",
-       "595  [u'Mia Farrow', u'Jeff Daniels', u'Danny Aiello']  \n",
-       "306  [u'Rob Reiner', u'Michael McKean', u'Christoph...  \n",
-       "174  [u'Bibi Andersson', u'Liv Ullmann', u'Margaret...  \n",
-       "759  [u'Brian Bedford', u'Phil Harris', u'Roger Mil...  \n",
-       "766  [u'Jodi Benson', u'Samuel E. Wright', u'Rene A...  \n",
-       "..                                                 ...  \n",
-       "361        [u'Topol', u'Norma Crane', u'Leonard Frey']  \n",
-       "166  [u'Robert De Niro', u'Christopher Walken', u'J...  \n",
-       "109  [u'Aamir Khan', u'Saif Ali Khan', u'Akshaye Kh...  \n",
-       "245  [u\"Ryan O'Neal\", u'Marisa Berenson', u'Patrick...  \n",
-       "132  [u'Spencer Tracy', u'Burt Lancaster', u'Richar...  \n",
-       "611  [u'Andie MacDowell', u'Julianne Moore', u'Tim ...  \n",
-       "318  [u'Tom Cruise', u'Jason Robards', u'Julianne M...  \n",
-       "184  [u'Bertil Guve', u'Pernilla Allwin', u'Kristin...  \n",
-       "89   [u'Shah Rukh Khan', u'Gayatri Joshi', u'Kishor...  \n",
-       "316  [u'Kevin Costner', u'Gary Oldman', u'Jack Lemm...  \n",
-       "40   [u'Tom Hanks', u'Michael Clarke Duncan', u'Dav...  \n",
-       "671  [u'Kurt Russell', u'Rose McGowan', u'Danny Tre...  \n",
-       "220  [u'Ben Kingsley', u'John Gielgud', u'Candice B...  \n",
-       "424     [u'Sam Shepard', u'Scott Glenn', u'Ed Harris']  \n",
-       "620  [u'Leonardo DiCaprio', u'Kate Winslet', u'Bill...  \n",
-       "8    [u'Liam Neeson', u'Ralph Fiennes', u'Ben Kings...  \n",
-       "385  [u'Kirk Douglas', u'Laurence Olivier', u'Jean ...  \n",
-       "335  [u'Omar Sharif', u'Julie Christie', u'Geraldin...  \n",
-       "2    [u'Al Pacino', u'Robert De Niro', u'Robert Duv...  \n",
-       "7    [u'Elijah Wood', u'Viggo Mortensen', u'Ian McK...  \n",
-       "630  [u'Denzel Washington', u'Angela Bassett', u'De...  \n",
-       "767  [u'Spencer Tracy', u'Milton Berle', u'Ethel Me...  \n",
-       "17   [u'Toshir\\xf4 Mifune', u'Takashi Shimura', u'K...  \n",
-       "204  [u'Charlton Heston', u'Jack Hawkins', u'Stephe...  \n",
-       "85   [u\"Peter O'Toole\", u'Alec Guinness', u'Anthony...  \n",
-       "445  [u'Charlton Heston', u'Yul Brynner', u'Anne Ba...  \n",
-       "142  [u'Aamir Khan', u'Gracy Singh', u'Rachel Shell...  \n",
-       "78   [u'Robert De Niro', u'James Woods', u'Elizabet...  \n",
-       "157  [u'Clark Gable', u'Vivien Leigh', u'Thomas Mit...  \n",
-       "476  [u'Kenneth Branagh', u'Julie Christie', u'Dere...  \n",
+       "     duration                                        actors_list  \n",
+       "389        64  [u'Wallace Ford', u'Leila Hyams', u'Olga Bacla...  \n",
+       "338        66  [u'Aleksandr Antonov', u'Vladimir Barsky', u'G...  \n",
+       "258        67  [u'Werner Krauss', u'Conrad Veidt', u'Friedric...  \n",
+       "293        68    [u'Groucho Marx', u'Harpo Marx', u'Chico Marx']  \n",
+       "88         68  [u'Charles Chaplin', u'Edna Purviance', u'Jack...  \n",
+       "..        ...                                                ...  \n",
+       "445       220  [u'Charlton Heston', u'Yul Brynner', u'Anne Ba...  \n",
+       "142       224  [u'Aamir Khan', u'Gracy Singh', u'Rachel Shell...  \n",
+       "78        229  [u'Robert De Niro', u'James Woods', u'Elizabet...  \n",
+       "157       238  [u'Clark Gable', u'Vivien Leigh', u'Thomas Mit...  \n",
+       "476       242  [u'Kenneth Branagh', u'Julie Christie', u'Dere...  \n",
        "\n",
        "[979 rows x 6 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -999,27 +421,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x1074a14a8>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x1d1a1958e08>"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY0AAAD8CAYAAACLrvgBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAE3xJREFUeJzt3X+wX3V95/HnS6Ao1YqUwGZD0os2dUt3VmBvGWasXQu2CmwNdKuF6dSMZZv+wFmZujNG26nstMzgbpUtsy02LIyBVRGrlrTQbZFanc4UMCCFQGCJmkpMNsQfFSwWG3zvH99zu1/CvTefXO653xPu8zHzne85n+853/PmfE943c/5mapCkqQWL5h0AZKkw4ehIUlqZmhIkpoZGpKkZoaGJKmZoSFJamZoSJKaGRqSpGaGhiSp2ZGTLuC5OP7442tqamrSZUjSYeXuu+/+alWtWMi8h3VoTE1NsXXr1kmXIUmHlSR/t9B53T0lSWpmaEiSmhkakqRmhoYkqZmhIUlqZmhIkpr1FhpJXpjkriR/m+SBJP+laz85yZ1JHkny0STf07Uf3Y3v6D6f6qs2SdLC9NnTeAo4q6peBZwKvCHJmcB7gSurai3wDeDibvqLgW9U1Q8CV3bTSZIGpLfQqJFvdaNHda8CzgL+qGvfDJzfDa/rxuk+PztJ+qpPknToer0iPMkRwN3ADwK/D3wB+Puq2t9NsgtY1Q2vAh4FqKr9Sb4JfD/w1QO+cwOwAWDNmjV9lv+8M7Xxlokte+cV501s2ZIWT68Hwqvq6ao6FTgJOAP44dkm695n61XUsxqqNlXVdFVNr1ixoFunSJIWaEnOnqqqvwf+CjgTODbJTA/nJGB3N7wLWA3Qff5S4OtLUZ8kqU2fZ0+tSHJsN/wi4HXAduDTwM92k60Hbu6Gt3TjdJ//ZVU9q6chSZqcPo9prAQ2d8c1XgDcVFV/muRB4MYkvwN8Hri2m/5a4IYkOxj1MC7ssTZJ0gL0FhpVdR9w2iztX2R0fOPA9n8E3tRXPZKk584rwiVJzQwNSVIzQ0OS1MzQkCQ1MzQkSc0MDUlSM0NDktTM0JAkNTM0JEnNDA1JUjNDQ5LUzNCQJDUzNCRJzQwNSVIzQ0OS1MzQkCQ1MzQkSc0MDUlSM0NDktTM0JAkNTM0JEnNDA1JUjNDQ5LU7MhJF6DlYWrjLRNZ7s4rzpvIcqXnK3sakqRmvYVGktVJPp1ke5IHkry9a78syVeS3Nu9zh2b511JdiR5OMnr+6pNkrQwfe6e2g+8o6ruSfIS4O4kt3WfXVlVvzs+cZJTgAuBHwH+JfCpJD9UVU/3WKMk6RD01tOoqj1VdU83/ASwHVg1zyzrgBur6qmq+hKwAzijr/okSYduSY5pJJkCTgPu7JreluS+JNcleVnXtgp4dGy2XcwfMpKkJdZ7aCR5MfBx4NKqehy4GngFcCqwB3jfzKSzzF6zfN+GJFuTbN23b19PVUuSZtNraCQ5ilFgfKiqPgFQVXur6umq+i5wDf9/F9QuYPXY7CcBuw/8zqraVFXTVTW9YsWKPsuXJB2gz7OnAlwLbK+q94+1rxyb7AJgWze8BbgwydFJTgbWAnf1VZ8k6dD1efbUq4FfAO5Pcm/X9m7goiSnMtr1tBP4ZYCqeiDJTcCDjM68usQzpyRpWHoLjar6a2Y/TnHrPPNcDlzeV02SpOfGK8IlSc0MDUlSM0NDktTM0JAkNTM0JEnNDA1JUjNDQ5LUzNCQJDUzNCRJzQwNSVIzQ0OS1MzQkCQ1MzQkSc0MDUlSM0NDktTM0JAkNTM0JEnNDA1JUjNDQ5LUzNCQJDUzNCRJzQwNSVIzQ0OS1MzQkCQ1MzQkSc0MDUlSs95CI8nqJJ9Osj3JA0ne3rUfl+S2JI907y/r2pPkqiQ7ktyX5PS+apMkLUyfPY39wDuq6oeBM4FLkpwCbARur6q1wO3dOMA5wNrutQG4usfaJEkL0FtoVNWeqrqnG34C2A6sAtYBm7vJNgPnd8PrgOtr5A7g2CQr+6pPknToluSYRpIp4DTgTuDEqtoDo2ABTugmWwU8Ojbbrq7twO/akGRrkq379u3rs2xJ0gF6D40kLwY+DlxaVY/PN+ksbfWshqpNVTVdVdMrVqxYrDIlSQ16DY0kRzEKjA9V1Se65r0zu52698e69l3A6rHZTwJ291mfJOnQ9Hn2VIBrge1V9f6xj7YA67vh9cDNY+1v6c6iOhP45sxuLEnSMBzZ43e/GvgF4P4k93Zt7wauAG5KcjHwZeBN3We3AucCO4Angbf2WJskaQGaQiPJv66qbYfyxVX118x+nALg7FmmL+CSQ1mGJGlpte6e+kCSu5L8WpJje61IkjRYTaFRVT8G/DyjA9Vbk3w4yU/2WpkkaXCaD4RX1SPAbwLvBP4dcFWSh5L8TF/FSZKGpSk0kvybJFcyuqr7LOCnu9uDnAVc2WN9kqQBaT176n8A1wDvrqpvzzRW1e4kv9lLZZKkwWkNjXOBb1fV0wBJXgC8sKqerKobeqtOkjQorcc0PgW8aGz8mK5NkrSMtIbGC6vqWzMj3fAx/ZQkSRqq1tD4h/GHIiX5t8C355lekvQ81HpM41LgY0lmbiC4Evi5fkqSJA1VU2hU1eeS/CvglYxuDfJQVf1Tr5VJkgbnUG5Y+KPAVDfPaUmoqut7qUqSNEitNyy8AXgFcC/wdNdcgKEhSctIa09jGjiluxOtJGmZaj17ahvwL/osRJI0fK09jeOBB5PcBTw101hVb+ylKknSILWGxmV9FrHcTG28ZdIlSNKCtJ5y+5kkPwCsrapPJTkGOKLf0iRJQ9N6a/RfAv4I+MOuaRXwx30VJUkaptYD4ZcArwYeh39+INMJfRUlSRqm1tB4qqq+MzOS5EhG12lIkpaR1tD4TJJ3Ay/qng3+MeBP+itLkjREraGxEdgH3A/8MnAro+eFS5KWkdazp77L6HGv1/RbjiRpyFrvPfUlZjmGUVUvX/SKJEmD1bp7aprRXW5/FHgNcBXwv+abIcl1SR5Lsm2s7bIkX0lyb/c6d+yzdyXZkeThJK8/9P8USVLfmkKjqr429vpKVf134KyDzPZB4A2ztF9ZVad2r1sBkpwCXAj8SDfPHyTx4kFJGpjW3VOnj42+gFHP4yXzzVNVn00y1VjHOuDGqnoK+FKSHcAZwN80zi9JWgKt955639jwfmAn8OYFLvNtSd4CbAXeUVXfYHSF+R1j0+zq2iRJA9J69tRPLNLyrgZ+m9FB9d9mFEa/yOgRss9a7GxfkGQDsAFgzZo1i1SWJKlF6+6pX5/v86p6f8v3VNXese+8BvjTbnQXsHps0pOA3XN8xyZgE8D09LRXpUvSEjqUs6d+ldEuo1XArwCnMDquMe+xjXFJVo6NXsDo4U4AW4ALkxyd5GRgLXBX6/dKkpbGoTyE6fSqegJGp84CH6uq/zjXDEk+ArwWOD7JLuA9wGuTnMpo19NORleXU1UPJLkJeJDRMZNLqurp2b5XkjQ5raGxBvjO2Ph3gKn5Zqiqi2Zpvnae6S8HLm+sR5I0Aa2hcQNwV5JPMuolXABc31tVkqRBaj176vIkf8boanCAt1bV5/srS5I0RK0HwgGOAR6vqt8DdnUHrCVJy0jr417fA7wTeFfXdBQHufeUJOn5p7WncQHwRuAfAKpqN4dwqq0k6fmhNTS+U1VFd5V2ku/tryRJ0lC1hsZNSf4QODbJLwGfwgcySdKy03r21O92zwZ/HHgl8FtVdVuvlUmSBuegodE91+LPq+p1gEEhScvYQXdPdbfzeDLJS5egHknSgLVeEf6PwP1JbqM7gwqgqv5TL1VJkgapNTRu6V6SpGVs3tBIsqaqvlxVm5eqIEnScB3smMYfzwwk+XjPtUiSBu5goTH+GNaX91mIJGn4DhYaNcewJGkZOtiB8FcleZxRj+NF3TDdeFXV9/VanSRpUOYNjao6YqkKkSQN36E8T0OStMwZGpKkZoaGJKlZ6xXh0mFpauPkbmSw84rzJrZsqS/2NCRJzQwNSVIzQ0OS1Ky30EhyXZLHkmwbazsuyW1JHuneX9a1J8lVSXYkuS/J6X3VJUlauD57Gh8E3nBA20bg9qpaC9zejQOcA6ztXhuAq3usS5K0QL2FRlV9Fvj6Ac3rgJnbrG8Gzh9rv75G7gCOTbKyr9okSQuz1Mc0TqyqPQDd+wld+yrg0bHpdnVtkqQBGcqB8MzSNutddZNsSLI1ydZ9+/b1XJYkadxSh8bemd1O3ftjXfsuYPXYdCcBu2f7gqraVFXTVTW9YsWKXouVJD3TUofGFmB9N7weuHms/S3dWVRnAt+c2Y0lSRqO3m4jkuQjwGuB45PsAt4DXAHclORi4MvAm7rJbwXOBXYATwJv7asuSdLC9RYaVXXRHB+dPcu0BVzSVy2SpMUxlAPhkqTDgKEhSWpmaEiSmhkakqRmhoYkqZmhIUlqZmhIkpoZGpKkZoaGJKmZoSFJamZoSJKaGRqSpGaGhiSpmaEhSWpmaEiSmhkakqRmhoYkqZmhIUlq1tvjXqXlbmrjLRNZ7s4rzpvIcrU82NOQJDUzNCRJzQwNSVIzQ0OS1MzQkCQ1MzQkSc0MDUlSs4lcp5FkJ/AE8DSwv6qmkxwHfBSYAnYCb66qb0yiPknS7CbZ0/iJqjq1qqa78Y3A7VW1Fri9G5ckDciQdk+tAzZ3w5uB8ydYiyRpFpMKjQL+IsndSTZ0bSdW1R6A7v2E2WZMsiHJ1iRb9+3bt0TlSpJgcveeenVV7U5yAnBbkodaZ6yqTcAmgOnp6eqrQEnSs02kp1FVu7v3x4BPAmcAe5OsBOjeH5tEbZKkuS15aCT53iQvmRkGfgrYBmwB1neTrQduXuraJEnzm8TuqROBTyaZWf6Hq+p/J/kccFOSi4EvA2+aQG2SpHkseWhU1ReBV83S/jXg7KWuR5LUbkin3EqSBs7QkCQ1MzQkSc0MDUlSM0NDktTM0JAkNTM0JEnNDA1JUjNDQ5LUzNCQJDWb1K3RJfVkauMtE1nuzivOm8hytbTsaUiSmi3bnsak/hqTpMOZPQ1JUjNDQ5LUzNCQJDUzNCRJzQwNSVIzQ0OS1GzZnnIraXFN8jR2LyxcOvY0JEnNDA1JUjNDQ5LUzNCQJDUzNCRJzQZ39lSSNwC/BxwB/M+qumLCJUkaOG8Hv3QG1dNIcgTw+8A5wCnARUlOmWxVkqQZQ+tpnAHsqKovAiS5EVgHPDjRqiRpFsvx2pRB9TSAVcCjY+O7ujZJ0gAMraeRWdrqGRMkG4AN3ei3kjzce1UHdzzw1UkX0chaF9/hUidYa1+WvNa8d0GzzdT5Awtd7tBCYxewemz8JGD3+ARVtQnYtJRFHUySrVU1Pek6Wljr4jtc6gRr7cvhUuti1Dm03VOfA9YmOTnJ9wAXAlsmXJMkqTOonkZV7U/yNuDPGZ1ye11VPTDhsiRJnUGFBkBV3QrcOuk6DtGgdpcdhLUuvsOlTrDWvhwutT7nOlNVB59KkiSGd0xDkjRghsYhSvLKJPeOvR5PcmmSy5J8Zaz93AnVd12Sx5JsG2s7LsltSR7p3l/WtSfJVUl2JLkvyekTrvO/JXmoq+WTSY7t2qeSfHts3X5gqeqcp9Y5f+8k7+rW6cNJXj+AWj86VufOJPd27RNbr0lWJ/l0ku1JHkjy9q59iNvqXLUObnudp9bF216rytcCX4wO1v9fRuc8Xwb85wHU9OPA6cC2sbb/CmzshjcC7+2GzwX+jNH1MWcCd064zp8CjuyG3ztW59T4dANZp7P+3oxuf/O3wNHAycAXgCMmWesBn78P+K1Jr1dgJXB6N/wS4P90626I2+pctQ5ue52n1kXbXu1pPDdnA1+oqr+bdCEzquqzwNcPaF4HbO6GNwPnj7VfXyN3AMcmWTmpOqvqL6pqfzd6B6PrdCZujnU6l3XAjVX1VFV9CdjB6PY4S2K+WpMEeDPwkaWqZy5Vtaeq7umGnwC2M7r7wxC31VlrHeL2Os96ncshb6+GxnNzIc/8B/i2rqt63Uy3eiBOrKo9MNqogBO69iHftuUXGf1lOePkJJ9P8pkkr5lUUQeY7fce8jp9DbC3qh4Za5v4ek0yBZwG3MnAt9UDah03uO11lloXZXs1NBYoo4sP3wh8rGu6GngFcCqwh9FugKE76G1bJiHJbwD7gQ91TXuANVV1GvDrwIeTfN+k6uvM9XsPcp12LuKZf+RMfL0meTHwceDSqnp8vklnaVvS9TpXrUPcXmepddG2V0Nj4c4B7qmqvQBVtbeqnq6q7wLXsIS7JBrsnenKd++Pde0HvW3LUkuyHvj3wM9Xt9O16zp/rRu+m9F+1x+aXJXz/t6DW6cASY4Efgb46EzbpNdrkqMY/Y/tQ1X1ia55kNvqHLUOcnudrdbF3F4NjYV7xl9tB+xfvQDY9qw5JmcLsL4bXg/cPNb+lu7MlDOBb87sGpiEjB7A9U7gjVX15Fj7ioyetUKSlwNrgS9Opsp/rmmu33sLcGGSo5OczKjWu5a6vlm8DnioqnbNNExyvXbHV64FtlfV+8c+Gty2OletQ9xe56l18bbXSRzhP9xfwDHA14CXjrXdANwP3Nf9ECsnVNtHGHU//4nRXxEXA98P3A480r0f100bRg+9+kJX+/SE69zBaP/qvd3rA920/wF4gNFZHvcAPz2AdTrn7w38RrdOHwbOmXStXfsHgV85YNqJrVfgxxjtBrlv7Pc+d6Db6ly1Dm57nafWRdtevSJcktTM3VOSpGaGhiSpmaEhSWpmaEiSmhkakqRmhoYkqZmhIUlqZmhIkpr9P2awK76bGHTrAAAAAElFTkSuQmCC\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x1029920f0>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -1030,27 +454,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x1074c51d0>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x1d1a1af3388>"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x107431ef0>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -1061,7 +487,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 116,
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\nINTERMEDIATE LEVEL\\n'"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "'''\n",
+    "INTERMEDIATE LEVEL\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -1094,51 +542,51 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>APPROVED</th>\n",
+       "      <td>APPROVED</td>\n",
        "      <td>47</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>G</th>\n",
+       "      <td>G</td>\n",
        "      <td>32</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>GP</th>\n",
+       "      <td>GP</td>\n",
        "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>NC-17</th>\n",
+       "      <td>NC-17</td>\n",
        "      <td>7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>NOT RATED</th>\n",
+       "      <td>NOT RATED</td>\n",
        "      <td>65</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>PASSED</th>\n",
+       "      <td>PASSED</td>\n",
        "      <td>7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>PG</th>\n",
-       "      <td>125</td>\n",
+       "      <td>PG</td>\n",
+       "      <td>123</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>PG-13</th>\n",
-       "      <td>190</td>\n",
+       "      <td>PG-13</td>\n",
+       "      <td>189</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>R</th>\n",
+       "      <td>R</td>\n",
        "      <td>460</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>TV-MA</th>\n",
+       "      <td>TV-MA</td>\n",
        "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>UNRATED</th>\n",
+       "      <td>UNRATED</td>\n",
        "      <td>38</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>X</th>\n",
+       "      <td>X</td>\n",
        "      <td>4</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1154,15 +602,15 @@
        "NC-17               7\n",
        "NOT RATED          65\n",
        "PASSED              7\n",
-       "PG                125\n",
-       "PG-13             190\n",
+       "PG                123\n",
+       "PG-13             189\n",
        "R                 460\n",
        "TV-MA               1\n",
        "UNRATED            38\n",
        "X                   4"
       ]
      },
-     "execution_count": 116,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1174,27 +622,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 115,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "Text(0,0.5,'Title Count')"
+       "Text(0, 0.5, 'Title Count')"
       ]
      },
-     "execution_count": 115,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x11d7f1978>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -1216,77 +666,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0              R\n",
-       "1              R\n",
-       "2              R\n",
-       "3          PG-13\n",
-       "4              R\n",
-       "5      NOT RATED\n",
-       "6      NOT RATED\n",
-       "7          PG-13\n",
-       "8              R\n",
-       "9              R\n",
-       "10         PG-13\n",
-       "11         PG-13\n",
-       "12            PG\n",
-       "13         PG-13\n",
-       "14         PG-13\n",
-       "15         PG-13\n",
-       "16             R\n",
-       "17       UNRATED\n",
-       "18             R\n",
-       "19            PG\n",
-       "20             R\n",
-       "21             R\n",
-       "22      APPROVED\n",
-       "23             R\n",
-       "24             R\n",
-       "25         PG-13\n",
-       "26         PG-13\n",
-       "27             R\n",
-       "28             R\n",
-       "29        PASSED\n",
-       "         ...    \n",
-       "949           PG\n",
-       "950            R\n",
-       "951            R\n",
-       "952            R\n",
-       "953           PG\n",
-       "954        PG-13\n",
-       "955            R\n",
-       "956           PG\n",
-       "957            R\n",
-       "958        PG-13\n",
-       "959            R\n",
-       "960        PG-13\n",
-       "961            R\n",
-       "962           PG\n",
-       "963            R\n",
-       "964        PG-13\n",
-       "965        PG-13\n",
-       "966        PG-13\n",
-       "967            R\n",
-       "968            R\n",
-       "969            R\n",
-       "970            R\n",
-       "971            R\n",
-       "972        NC-17\n",
-       "973        PG-13\n",
-       "974           PG\n",
-       "975           PG\n",
-       "976        PG-13\n",
-       "977           PG\n",
-       "978            R\n",
+       "0          R\n",
+       "1          R\n",
+       "2          R\n",
+       "3      PG-13\n",
+       "4          R\n",
+       "       ...  \n",
+       "974       PG\n",
+       "975       PG\n",
+       "976    PG-13\n",
+       "977       PG\n",
+       "978        R\n",
        "Name: content_rating, Length: 979, dtype: object"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1298,7 +698,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 110,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -1313,7 +713,7 @@
        "dtype: int64"
       ]
      },
-     "execution_count": 110,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1325,7 +725,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1337,7 +737,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -1361,17 +761,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEdCAYAAAABymAfAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nO3de5wcVZn/8c8jgYkkSEA0QoJJdEGTAUSHVVYRM0YFAcULKwRQohGMkln2B6sDZHeDulmICCsbXbNmJxtQcvGCioSryUQWIbrcCQwoEMAYFpF7AglJfH5/nDOhptMzfZma7urq7/v16td0V1U/daq6pk6dS50yd0dERJrXq+qdABERqS9lBCIiTU4ZgYhIk1NGICLS5JQRiIg0OWUEIiJNThmBVM3MFpnZv9Q7HfU20H4ws2lmdlOt05Q1ZnavmU2udzqkOGUEOWBmj5jZS2a2wcyeMbPlZrZvvdOVZGZuZn9V73TkUdYym2IZo7u3uvuqOiVJSlBGkB8fcfeRwN7AE8C8OqdnyFigYzclZjZsKJaVxqF/ppxx903Aj4FJvdPMbHczu8zMnjSzR83sH3tPpGb2XTP7cWLZuWa2Ip5sJ5vZOjM718z+HEseJ/W3bjM71cweNLOnzexKM9snTr8xLnJXLLUcX+S7O5nZRXE9a81sZixFDIvzV5nZHDP7NfAi8CYz2yeu5+m43lMT8fpclfZuS+LzI2Z2jpndF0tR/21mwxPzjzGzO83sWTO72cwOSsx7u5ndbmYvmNkyYPv3+t81Ns/MnjOz+81sSpz4t2Z2W8GCZ5nZz/oJMs3MHo7rXWtmJ5nZRGA+8Ddx3z4blz3azO4ws+fN7A9mdl4izvi4b6eb2WPAygESXnRZM/uRmf1f3KYbzaw1Tj8NOAn4SkzPLxL7+wPx/Xlm9sN4TL4Qq40OSazzHTHtL8T1LCssYUjK3F2vBn8BjwAfiO93BS4FLkvMvwz4ObAbMB74HTA9sfzvgGnAe4E/A2PjvMnAVuBioAV4H7AReEucvwj4l/j+/fG774jLzgNuTKTBgb8aYBtmAPcBY4E9gF/G7wyL81cBjwGtwDBgZ+BXwH8QTsQHA08CUwrTltiWdQX7bA2wL7An8OvEtrwD+BPwLmAn4JS4fAuwC/Ao8P9iGo4DtiTXVbBd0+I+7F3+eOC5uM4W4GlgYmL5O4BPFokzAng+se/3BloT67ipYPnJwIGEi72DCKXEj8V54+O+vSzGffUAv0vRZYHPEY6nFuBbwJ2J7/TZ90WO0fOATcBRcf+eD6yO83r37xlxf30CeLm//atXSueQeidArxR+xPBPtgF4Np501gMHxnk7AZuBSYnlvwCsSnx+ZzwhPQpMTUyfHOONSEz7IfBP8f32f3igC/hGYrmR8QQ5Pn4ulRGsBL6Q+PwBdswIvpaYvy+wDdgtMe18YFFh2hLbUpgRzEh8Pgp4KL7/LvD1gvQ9QMgID4/71xLzbu7vREU4SRcu/1vg04l1zYnvW4FngJYicUbE3/eTFJy4KZIRFPn+t4B/i+/Hx337pjKOrZLLAqPiMrsX2/eJ/Z3MCH6ZmDcJeCm+Pxz4Y8H+uqm//atXOi9VDeXHx9x9FOEKbSbwKzN7A7AXr1xl9XoUGNP7wd1/CzwMGOFEn/SMu28s+O4+Rda/T3Id7r4BeCq5nhL2Af6Q+PyHIsskp+0DPO3uLxSkrdz1FcZLbtc44KxYLfRsrG7ZN87fB/ijxzNU4rsDKbZ877ouBU40MwM+DfzQ3TcXBoi/wfGEktPjFjoEvLW/FZrZu8ysO1YHPhe/t1fBYsX2cX+2Lxur8S4ws4fM7HnCSZ4i8Qfyf4n3LwLDYzVgsf1bSTqlCsoIcsbdt7n7FYSr5cMI1TVbCCe3Xm8kXHUBYGanEzKQ9cBXCkLuYWYjCr67vsiq1yfXEb/z2uR6SnicUC3Uq1ivp+TJYT2wp5ntVpC23vVtJFR79foq8JqCeMl1JLfrD4Sr9FGJ167uviSmc0w8cSe/u12su78+ManY8usB3H01oerjvcCJwPeLbDdx2evc/YOEaqH7gQW9s4osvhi4EtjX3XcntCNYwTKVDD2cXPZE4FhCqW13QqmBRPzBDGlcbP9mqgdcHikjyBkLjiXUs/e4+zbCVf4cM9vNzMYBZwI/iMvvD/wLcDLhivQrZnZwQdivmtkuZvZe4BjgR0VWvRj4rJkdbGYtwL8Cv3H3R+L8J4A3DZD0HwJnmNkYMxsFdA60ne7+B0KVzPlmNjw25k4HLo+L3AkcZWZ7xpLRpCJhTjezsWa2J3AusCxOXwDMiFfVZmYjYuPrbsAthOqyvzOzYWb2BeDdJE6y7n65u38osZ7Xx+V3NrO/BSYCVyfmXwZ8G9jq7kW7gZrZaDP7aMxgNxOqArfF2U8AY81sl8RXdiOUmDaZ2TsJJ++07BbT8BQhs/3XgvmlfuuB3ELYrplx/x5LqLqUIaSMID9+YWYbCA2Kc4BT3P3eOK+DcIX8MKG+dTGwMBbFfwDMdfe73P33hBPi9+PJHEIR/hnCFezlhHr1+wtX7u4rgH8CfkK4qnszcEJikfOAS2NVy6eKpH8BcD1wN6HB9GrCCXdbkWV7TSVcja4HfgrMdvcb4rzvA3cRqi2uB9YW+f7iOO/h+PqXuC23AqcSTs7PAA8S6uFx95cJDZjT4rxjBkhfr98A+xFKZ3OA49z9qcT87wMHMEBpgPC/elbc1qcJ7RVfivNWAvcC/2dmf47TvgR8zcxeAP6ZHav8BuMyQvXWHwkN/KsL5ncBk+JvXbQHVH8S+3c6oU3kZOAqQsYjQ8T6VsWJvMLCnaA/cPexpZYdgnV/GJjv7uNKLlz8+28nnJD2I2QqTjihPwh8nlAN9Xl3/6WZObCfuz9oZouAlwjVXO8jVIG0EDKJNxN6/HS5+3lxPY8Rqi5621E+CLwlxj4sLvNu4BJgf0IPrTPc/eY4bxXhKvgrcb03Aye6e+8JvemZ2W8Ix8J/1zsteaUSgWSCmb3azI6K1QFjgNmEq/xqYu0C/Ixwhb0noSrrkxWEOJFw5b4boQS1EfgMoXfM0cAXzexjcdnD499R7j7S3W8pSMuewHLg3wltJhcDy83stYnFTiX0JHodoWH/HypIa+6Y2fvM7A3xWDiF0P312nqnK8+UEUhWGKFB9xlC1VAPoUqjGocS+qB/y923uPuPgf+t4Ps/d/dfu/tf3H2Tu69y93vi57uBJYTSQjmOBn7v7t93962xwfl+4COJtA4DvuTuLxGqcArbaIZUbNzeUOR1b+lvD4m3EKr1niNUhx3n7o/XKS1NQbeLS788jA1Tk2ohd38R+OuUwpXs4unu4wf4fp/uimb2LuACQj3+LoSqomIN5v2lpbB7abKb62pC9dsd8fOLhHswasbdL+eVRva6c/fvAd+rdzqaiUoEkkcDdfHs06009igqVNhwNlBXzFKNbH261SbSUm63WpEhp4xA8qiwi+cneKUL4l1Aa+zmOpzQm6mUgbpiPgn8hf67S14N7G9mJ8a0HE/oynpVxVslMkSUEUjuFOnieTxwRZz3O+BrhLGMfk9oDC6l366YsUprDvDr2F3y0IK0PEXoYnoWod/9V4Bj1CtIskTdR0VEmpxKBCIiTU4ZgYhIkyuZEZjZvnEUwx4LD5A4I04/z8z+aOHhHXea2VGJ75xj4UEhD5jZEUO5ASIiMjgl2wjMbG9gb3e/PQ66dRvwMeBTwAZ3/2bB8pMIN9y8k9CH+pfA/nHwMxERyZiSJQJ3f9zdb4/vXyDc8TnQmO/HAkvdfbO7ryWM7aLRA0VEMqqiO4vNbDzwdsJoiu8hDBX7GeBW4Cx3f4aQSSRHI1xHiYeF7LXXXj5+/PgB171x40ZGjBgx4DKlpBEjS2nJSowspSUrMbKUFm3P0MTIUlrKiXHbbbf92d1fV2xe2RmBmY0kDDH89+7+vJl9F/g64c7KrwMXEZ5jWvjwCyhy96WFh1yfBjB69Gi++c1v7vClpA0bNjBy5ODuvE8jRpbSkpUYWUpLVmJkKS3anqGJkaW0lBOjvb29/yfplfM8S8IAXtcBZ/YzfzywJr4/BzgnMe864G8Git/W1ualdHd3l1ymFjHSipOnGGnFyVOMtOJkJUZacfIUI604tYoB3OrVPrM4jtfSRXja1cWJ6XsnFvs4sCa+vxI4wcxazGwCYTz435Zaj4iI1Ec5VUPvITzC8B4zuzNOOxeYGh9p6ISnQH0BwN3vNbMfEp5ctBU43dVjSEQks0pmBB6eoVqs3v/qItN6vzOHMP6KiIhknO4sFhFpcsoIGtCSJUs44IADmDJlCgcccABLliypd5JEpIHpCWUNZsmSJcyaNYuuri62bdvGTjvtxPTp0wGYOnVqnVMnIo1IJYIGM2fOHLq6umhvb2fYsGG0t7fT1dXFnDlqkhGR6igjaDA9PT0cdthhfaYddthh9PT01ClFItLolBE0mIkTJ3LTTX0fqnXTTTcxceLEOqUoG9RuIlI9tRE0mFmzZjF9+vTtbQTd3d1Mnz69qauG1G4iMjjKCBpM74mto6ODnp4eJk6cyJw5c5r6hJdsN1m1ahWTJ0+mq6uLjo6Opt4vIuVSRtCApk6dytSpU7ef9Jqd2k1EBkdtBNLw1G4iMjjKCKTh9babdHd3s3Xr1u3tJrNmzap30kQagqqGpOGp3URkcJQRSC6o3USkeqoaEhFpcsoIRESanDICkZTpLmdpNGojEEmR7nKWRqQSgUiKNDqsNCJlBCIp0l3O0ohKZgRmtq+ZdZtZj5nda2ZnxOkXmtn9Zna3mf3UzEbF6ePN7CUzuzO+5g/1Rohkhe5ylkZUTolgK3CWu08EDgVON7NJwA3AAe5+EPA74JzEdx5y94Pja0bqqRbJKN3lLI2oZGOxuz8OPB7fv2BmPcAYd78+sdhq4LihSaJIbSxZsoQ5c+Zsvzt51qxZFTfw6i5naUTm7uUvbDYeuJFQEng+Mf0XwDJ3/0Fc5l5CKeF54B/d/X+KxDoNOA1g9OjRbUuXLh1w3Rs2bGDkyJFlp3WoYmQpLVmJkaW0VBtjxYoVdHV18eUvf5kJEyawdu1aLrzwQqZPn86UKVNqmpYsxshSWrISI0tpKSdGe3v7be5+SNGZ7l7WCxgJ3AZ8omD6LOCnvJKptACvje/bgD8Arxkodltbm5fS3d1dcplaxEgrTp5ipBWnnjFaW1t95cqVfWKsXLnSW1tba56WLMZIK06eYqQVp1YxgFu9n3NwWb2GzGxn4CfA5e5+RWL6KcAxwElxRbj7Znd/Kr6/DXgI2L+c9YjUi3r7SDMrp9eQAV1Aj7tfnJh+JNAJfNTdX0xMf52Z7RTfvwnYD3g47YTL4Oju177U20eaWTl3Fr8H+DRwj5ndGaedC/w7oRrohpBXsNpDD6HDga+Z2VZgGzDD3Z9OPeVSNd39uiM9C1qaWTm9hm4CrMisq/tZ/ieEaiTJKD3jd0fq7SPNTGMNNSHVhxenZxpIs9IQE01I9eFDS+0v0mhUImhCqg8fOmp/kUakjKAJqT586Kj9RRqRMoImpfrwoaH2F2lEaiMQSZHaX6QRKSOQustT46pGH5VGpKohqau8Na6q/UUakUoEUld5fLTj1KlTWbNmDStWrGDNmjXKBCTzlBFIXalxVaT+lBFIXalxVaT+lBFIXalxNfvy1JgvxamxWOpKjavZlrfGfClOJQKpOzWuZlceG/NlR8oIKqAisjQbNeY3B1UNlUlFZGlGvY357e3t26epMT9/VCIok4rI0ozUmN8cVCIoU1pF5CVLljBnzpztDaOzZs1SiUIyS435zaFkRmBm+wKXAW8A/gJ8z90vMbM9gWXAeOAR4FPu/kx82P0lwFHAi8A0d799aJJfO2kUkVW9JI1II9XmXzlVQ1uBs9x9InAocLqZTQLOBla4+37AivgZ4MPAfvF1GvDd1FNdB2kUkVW9JCJZVM7D6x8HHo/vXzCzHmAMcCwwOS52KbAK6IzTL3N3B1ab2Sgz2zvGaVhpFJHVA0NEsqiiNgIzGw+8HfgNMLr35O7uj5vZ6+NiY4A/JL62Lk5r6IwABl9EVg8MkeqFWue+wvWmDJaVuyPNbCTwK2COu19hZs+6+6jE/GfcfQ8zWw6c7+43xekrgK+4+20F8U4jVB0xevTotqVLlw64/g0bNjBy5MgKNm1oYgwmzooVK+jq6uLLX/4yEyZMYO3atVx44YVMnz6dKVOm1Cwdaca45JJLWL58OVu2bGHnnXfm6KOP5owzzqhLWrIUI0tpydv2TLt2I4uOHFHzdHQ82lHWcvPGzRvytFQTo729/TZ3P6ToTHcv+QJ2Bq4DzkxMewDYO77fG3ggvv9PYGqx5fp7tbW1eSnd3d0ll6lFjMHGWbx4sbe2tvqrXvUqb21t9cWLF9clHWnEmDlzpg8bNswvuugiv+aaa/yiiy7yYcOG+cyZM2uelqzFSCtOVmKkFSeNGOM6r8pEOtKKU6sYwK3ezzm4ZGNx7AXUBfS4+8WJWVcCp8T3pwA/T0z/jAWHAs95g7cPpClPwyksWLCAuXPncuaZZzJ8+HDOPPNM5s6dy4IFC+qdNBGpQDm9ht4DfBp4v5ndGV9HARcAHzSz3wMfjJ8BrgYeBh4EFgBfSj/ZkgWbN29mxowZfabNmDGDzZs31ylFIlKNkhmBu9/k7ubuB7n7wfF1tbs/5e5T3H2/+PfpuLy7++nu/mZ3P9Ddbx36zWgceRqvqKWlhfnz5/eZNn/+fFpaWuqUIhGphu4srqEs3VCWxh3Op556Kp2dnQBMmjSJiy++mM7Ozh1KCSKSbcoIaih5Q1lvF9Suri46OjpqmhGklSHNmxd6R5x77rls3ryZlpYWZsyYsX26iDQGDTpXQz09Paxbt65P1dC6detqfkNZmnc4z5s3j02bNtHd3c2mTZuqygTyVF0m0ohUIqihffbZh87OTi6//PLtV+InnXQS++yzT03TkaU7nLNUXSbSrFQiqDEvuIGv8HMtZOmB8Xkcf0klHGk0KhHU0Pr161m0aFGf8Yq+8Y1vMG3atJqmo3cAvd6r8N4B9Opx8s1S6SQNKuFII1JGUEMTJ07kgQce6DPtgQceqPmVeJbGmM/b+EtZ6RAgUgllBDXU3t7O3LlzmTt3LpMmTeK+++6rW3fLNMaYLzYIGFRW3ZWl0kka0irhaIA1qSVlBDXU3d1NZ2cnCxcu3H4l3tnZyc9+9rN6J60qyRPT+LOX88gFR1ccI63SSVZOnGmVcHrTXu1+FamEGotrqKenh9mzZ/cZa2j27NkNWx+eljTGX+odPGtc51XJwRJrTs/4lUakEkEN5a0+PC1ZeY5zGlVdWWp/yYu3ffV6nntpS59p489evv397q/embtmf6jWycoVZQQ1lLf68DRkqZdNWtUxesZvup57aUuf36NwvyYzBamOMoIa0tXijtTLRqT+lBHUmK4W+8rbfQQijUiNxVJXWbrLWaRZKSNoUlkZBkG9bETqT1VDDWiwvWyy1ECbx3aTrNzTIFIuZQQNJo2TeNYaaPPWbqKbwaTRqGqowaQxWqcaaKXWzAwzo729fft7yY6SJQIzWwgcA/zJ3Q+I05YBb4mLjAKedfeDzWw80AP0jqy22t313MIUpXES141tUiu9N4ON67xqh3njz16um8EyopwSwSLgyOQEdz++90H2wE+AKxKzH0o85H7QmUBWGjWzIo1eNmqgbQ5Z+N/pvRms97XoyBF9PhfeMSz1UbJE4O43xiv9HVgo330KeH+6yQqy1KiZFWncnZzHBlrpS/87UonBthG8F3jC3X+fmDbBzO4ws1+Z2XsHEzyPT68arKlTpzJnzhw6Ojo44ogj6OjoqOoknsZAb5Jd+t+RSlg53dpiieCq3jaCxPTvAg+6+0Xxcwsw0t2fMrM24GdAq7s/XyTmacBpAKNHj25bunTpDuudMmUK1113HcOGDWPDhg2MHDmSrVu3csQRR7BixYqyN3LFihX84Ac/4LHHHuONb3wjJ598MlOmTCn7+4V60zIYeYoBMO3ajSw6ckTd05JGOtKIUe+0pPW/k1TN71OY/sIY5WxfGjEKpXXcVxOn49GOksvMGzcv9XS0t7ff5u6HFJ3ZO2TvQC9gPLCmYNow4Alg7ADfWwUcUip+W1ubF9Pa2uorV650d/fu7m53d1+5cqW3trYWXb6YxYsX+4QJE3zlypV+ww03+MqVK33ChAm+ePHismMU6k3LYOQphrv7uM6rqv4usMOrHulIM0ZacaqNkcb/TqFqjpXC9BfGKGf70ohRKK3jPiv/g+XEAG71fs7Bg6ka+gBwv7uv651gZq8zs53i+zcB+wEPV7uCNBo158yZw4knntinKuXEE0+sqoichca3POo9GOv9LIE8UYcAqUQ53UeXAJOBvcxsHTDb3buAE4DCM+HhwNfMbCuwDZjh7k9Xm7g0GjXvu+8+XnzxxR0azR555JGK0qLGN2kkU6dO5eabb+bDH/4wmzdvpqWlhVNPPbWqYzUrz4uQoVNOr6Giv7i7Tysy7SeE7qSpGexdp7vssgszZ87scxftzJkzOffccyuKk7W7cUUGsmTJEpYvX84111zT58Ll3e9+d8MORyJDJ/d3Fr/88sucf/75TJgwgfe///1MmDCB888/n5dffrmiOHm7G7fYnZ662zM/0uo1pN5HzSH3GcGYMWPYsiXctNJ7otuyZQtjxoypKE7ehksuVi+vuvn8SOvCJW8XQFJc7jMCgF133ZWFCxdy3XXXsXDhQnbdddeKY6TV+KYxV6QW0rpwydsFkBSX+9FH169fz6JFi/o0OM+dO5dp06ZVFCetu3F7r7o1MqUMpbSej63nbDeH3GcEEydOZOzYsaxZs2Z7I293d3dVVzR5Gy5Z8iutCxcNR9Iccp8R5PGKRg8+kXKkdeGiC6D8y3wbwWBv4kprbJ4s0Q1YIpKmTJcI0urDnMYVTX+NujoJi0ijy3SJIEt9mJNdLHUlLiJ5kumMQH2YRUSGXqYzAvVhFhEZepluI5g1axbHH388I0aM4NFHH2XcuHFs3LiRSy65pN5JExHJjUyXCJJ0B66IyNDIdEYwZ84cli1bxtq1a1mxYgVr165l2bJlDX0PgIhI1mS6akiNxSKy28SzOfDSs/tOvDQ5H0DDtQxGpjOC3sbi9vb27dPUWCzSXF7ouaDPuFyF9wONP3t5HVKVL5muGtLj9kREhl6mSwQa8Eqazdu+ej3PvbSlz7TkFe/ur96Zu2Z/qNbJkpzLdEYAQzc8hO4Klix67qUtqgaRmivn4fULgWOAP7n7AXHaecCpwJNxsXPd/eo47xxgOuHh9X/n7tcNJoFpPDhbzwCQgZS6CgddiUu+lVMiWAR8G7isYPq/ufs3kxPMbBJwAtAK7AP80sz2d/dt1SROD86WWih1FQ66Em90B1564I4TL91x0j2n3DP0icmgkhmBu99oZuPLjHcssNTdNwNrzexB4J3ALdUkLjnoXO8/Z1dXFx0dHcoIRKRshSd4PVuhr8G0Ecw0s88AtwJnufszwBhgdWKZdXHaDszsNOA0gNGjR7Nq1aodlunp6WHbtm2sWrWKDRs2sGrVKrZt20ZPT0/R5ctR7feGIk6eYqQVp14xkt/pPdbSjptWWiqN2d/2VKraOGlsT972SeZiJIdX7u8FjAfWJD6PBnYidD+dAyyM078DnJxYrgv4ZKn4bW1tXkxra6uvXLnS3d27u7vd3X3lypXe2tpadPlSxnVeVdX3hiJOnmKkFadeMQq/03uspR03jbRUE7PY9lSjmjhpbE/e9km9YgC3ej/n4KpKBO7+RO97M1sAXBU/rgP2TSw6FlhfzTogn4+ZFGkmuiu4MVSVEZjZ3u7+ePz4cWBNfH8lsNjMLiY0Fu8H/LbaxOk+ApHGpruCG0M53UeXAJOBvcxsHTAbmGxmBwMOPAJ8AcDd7zWzHwL3AVuB073KHkO99OBsEZGhVU6voWKX310DLD+H0G4gIg1Oz+puDpkea0hE6ivZoKhndedX5oeYEJHaK3a3NWjco7xSRiAiOyi82xrq29C7w7qu7ZshyeAoIxCRITXYk3hhhqQxw9IfMkMZgYgMGZ3Eh0baQ2ZkPiPQENIiIkMr8xlB70lfVxJSjIaQFhm8zGcEIgPJyhDS6mUjjUwZgUgKstbLRqQSyghEMkSDtEk9KCOQiqkaZOhokDapB2UEUjFVg4jkizICqZtSPX5UqhCpDWUEUjelevyoVCFSGxp9VESkyalEUANqXJVGU7T3EqgHU04pI6iBtBpXVacutVLYewlUdZdnyggaiOrUh0apvvthGdDVr+RVOc8sXggcA/zJ3Q+I0y4EPgK8DDwEfNbdnzWz8UAP8ED8+mp3nzEE6S5LGuPQ5K1aR2Pz7KhU331QJiv5Vk6JYBHwbeCyxLQbgHPcfauZzQXOATrjvIfc/eBUU1mlNMahyVuf+ayMzSPZV/Q40ANhcqmch9ffGK/0k9OuT3xcDRyXbrJEpJ6KjfSrEYDzK43uo58Drkl8nmBmd5jZr8zsvSnEFxGRITSoxmIzmwVsBS6Pkx4H3ujuT5lZG/AzM2t19+eLfPc04DSA0aNHs2rVqpLrK2eZgb6zYcOGojFKxS2cXyxOLWIULjNUMcqJk+ftycM+AWhvb99hWnd3d1nf7U81/4NZjNHfb1yPOJmI4e4lX8B4YE3BtFOAW4BdB/jeKuCQUvHb2tq8lHGdV5VcptR3uru7K45bbH5hnFrEKLbMUMQoJ07et6fR90k5aavGYOIAO7zqkY5exX7jesWpVQzgVu/nHFxVicDMjiQ0Dr/P3V9MTH8d8LS7bzOzNwH7AQ9Xsw6RRqIbsAbm8UmDg322rgyNcrqPLgEmA3uZ2TpgNqGXUAtwQ3ymcG830cOBr5nZVmAbMMPdnx6itItkhm7AkkZWTq+hqUUmd/Wz7E+Anww2USLl0s1gIoOX2TuLNZyClEM3g4kMXmYzAg2nICJSG5nNCESkOhpGRCqljEDqRg9qHxoaRkQqpYyggeTtxKkHtYtkgzKCBqITp4gMBWUEJeTtRqE0ulvmbZ9kzQ4Zukb8lCGmjKCENG4UytKJM7mzFVMAABD6SURBVI3ulrp5augU7leN+Cm1kOuMICs3G+nEKSJZluuMQDcbSTPKygWQNI5cZwQi5RqoXh4aq25eF0BSKWUE0vRULy/NLrMZQd76zIuIZFVmMwL1mRcRqY3MZgQiUr08tXnI0FNGIJKSoqXUOtwMpjYPqZQyApEUFDvR5uEEHJ9A+MrnueFv76MnJR+UETQYDT+wI1WDDJ3kCV/PG86v3GcEeTpJqMi/I+0TkcErKyMws4XAMcCf3P2AOG1PYBkwHngE+JS7P2OhLHkJcBTwIjDN3W9PP+ml6SQhIlJauSWCRcC3gcsS084GVrj7BWZ2dvzcCXwY2C++3gV8N/5tWFlpBBSpRLJ+X3X7MpCyMgJ3v9HMxhdMPhaYHN9fCqwiZATHApd5OOJWm9koM9vb3R+vNHFZqA/PayNgVmThN86r3pO+6valFCv3CiFmBFclqoaedfdRifnPuPseZnYVcIG73xSnrwA63f3WgninAacBjB49um3p0qUDrn/atRtZdOSIcrdryGJUE2fatRtLLjNiZ/jOlMrSVs32pJGWLG1PVmNkKS0bNmxg5MiRg4qRVpw0YmifVBejvb39Nnc/pOhMdy/rRWgLWJP4/GzB/Gfi3+XAYYnpK4C2gWK3tbV5KeM6ryq5TC1ipBUnTzHSipOnGGnFSSNGd3f3oGOkFSeNGNon1cUAbvV+zsGvGkQm9ISZ7Q0Q//4pTl8H7JtYbiywfhDrERGRITSYjOBK4JT4/hTg54npn7HgUOA5r6J9QEREaqPc7qNLCA3De5nZOmA2cAHwQzObDjwG/G1c/GpC19EHCd1HP5tymkVEJEXl9hqa2s+sKUWWdeD0wSRKRKSQusMOncFUDYmI1Exvw2Z3d3eyk4qkQBmBiEiTU0YgItLklBGIiDQ5ZQQiIk1OGYGISJNTRiCSUx0dHQwfPpz29naGDx9OR0dHvZMkGZX7B9OINKOOjg7mz5/P3LlzmTRpEvfddx+dnZ0AzJs3r86pk6xRiUAkg8wMM+PRucdsf1+JBQsWMHfuXM4880yGDx/OmWeeydy5c1mwYMEQpVgamTICkQwa7M1TmzdvZsaMGX2mzZgxg82bN6eZTMkJZQQiOdTS0sL8+fP7TJs/fz4tLS11SpFkmdoIRHLo1FNP3d4mMGnSJC6++GI6Ozt3KCWIgDICkVzqbRA+99xz2bx5My0tLcyYMUMNxVKUqoYkFwbbuJpH8+bNY9OmTXR3d7Np0yZlAtIvZQSSCxqZUqR6qhoSiYqNdw8a817yTyWCGlMVRnYVK1UoE5BmoIygxlSFISJZU3XVkJm9BViWmPQm4J+BUcCpwJNx+rnufnXVKRQRkSFVdUbg7g8ABwOY2U7AH4GfEh5W/2/u/s1UUpiCvD3rNG/bIyL1lVbV0BTgIXd/NKV4qcpbdUzetkdE6iutjOAEYEni80wzu9vMFprZHimtQ0REhoAN9mrSzHYB1gOt7v6EmY0G/gw48HVgb3f/XJHvnQacBjB69Oi2pUuXFo3f3t6+w7Tu7u6q0rphwwZGjhxZ1XeTpl27kUVHjhhUjDTSMpgYxfYrVL9v09gnedivSXnbnqykJSsxspSWcmK0t7ff5u6HFJ2Z7CZXzQs4Fri+n3njgTWlYrS1tXkp3d3dJZepRQx393GdVw06Rla2J0v7JE/71T1/25OVtGQlRlpxahUDuNX7OQenUTU0lUS1kJntnZj3cWBNCusQEZEhMqg7i81sV+CDwBcSk79hZgcTqoYeKZgnIiIZM6iMwN1fBF5bMO3Tg0qRiIjUlO4sFhFpcsoIRESanEYfLVPh4HC6o1dE8kIlgjIlu1rpjl4ZiEaYlUajjEDqLm8nTl0wSKNRRiB1pxOnSH0pIxARaXJqLJaqqQFdJB9UIpCqqQFdJB+UEYiINDllBCIiTU4ZgYhIk1NGICLS5JQRiIg0OWUEIiJNThmBiEiTU0YgItLkLAs3AJnZk8CjJRbbC/jzIFeVRowspSUrMbKUlqzEyFJatD1DEyNLaSknxjh3f13ROf091T5rL+DWLMTIUlqyEiNLaclKjCylRdujfVLqpaohEZEmp4xARKTJNVJG8L2MxEgrTp5ipBUnTzHSipOVGGnFyVOMtOLUPUYmGotFRKR+GqlEICIiQyGNlvO0XsBbgDsTr+eBv+9n2b8GtgHHVRoDmAw8l1jmn6tJR4xzJ3Av8Ktqtgf4cmL+mrhNe1YYY3fgF8BdMS2frSIdewA/Be4GfgscUGR7/l+MvwZYAgwvmN8CLAMeBH4DjO/ntysV53DgdmBr4e9bQYwzgfvi9qwgdJ2rNMYM4J64z24CJlWTlsRyxwEOHFJFWqYBTyZ+w89Xkw7gU3G/3AssriId/5ZIw++AZ6v8fd4IdAN3xN/oqCpijIu/7d3AKmBskRhnxO/fS/H/YQP+PR6zdwPvqCLGW4FbgM3APxTbH2XGOSmm4W7gZuBtVcQ4Nn7/TuBW4LD+0tPne+UsVI8XsBPwfxT/B94JWAlcTT8nioFiEE7gVw0mHcCo+A/1xvj59dVuT2KZjwArq0jLucDc+P51wNPALhXGuBCY7a8c2CsK5o8B1gKvjp9/CEwrWOZLwPz4/gRgWZH1lxNnPHAQcFmx37fMGO3ArvH9FwvTUmaM1yTefxS4tpq0xOm7ATcCqynICMpMyzTg2wMcG+XE2I9w4t2j2DFb7rYklu8AFlaZlu8BX4zvJwGPVBHjR8Ap8f37ge8XzD+AcNLclfA0xl8C+xUscxRwDSFDOBT4TRUxXk+4MJ1DPxlBmXHenfhtPlxlWkbySpX/QcD9/f1+yVeWq4amAA+5e7EbzTqAnwB/GkSMwabjROAKd38MwN3TSMtUwpVPpTEc2M3CsyNHEjKCrRXGmES4usLd7wfGm9nogmWGAa82s2GEg3F9wfxjgUvj+x8DU6zweZZlxHH3R9z9buAv/WxDOTG63f3F+HE1MLaKGM8nPo4g7OeK0xJ9HfgGsGkQMUopFeNU4Dvu/gz0e8xWko6BjtdScRx4TXy/ez/rKRVj+zFLKF0cWzB/IrDa3V90963Ar4CPFyxzLHCZB6uBUWa2dyUx3P1P7v6/wJYi21BJnJt7fxuKH7PlxNjgMRdg4GO2jyxnBCdQ5CAzszGEjZ9fbYzob8zsLjO7xsxaq4ixP7CHma0ys9vM7DODSAtmtitwJCGDqzTGtwkHyXpCVcYZ7t7fSbS/GHcBn4hpeSeh2L39QHT3PwLfBB4DHgeec/frC2KMAf4Ql99KqH57bXKBMuMMqIoY0wlXfRXHMLPTzewhwkn876pJi5m9HdjX3a8a5PZ80szuNrMfm9m+VcTYH9jfzH5tZqvN7Mgq04GZjQMmEErm1WzPecDJZraOULLvqCLGXcAn4/uPEy6GksfbGuBwM3tt/P86Cti3IMb2YzZaF6dVEqMclcbZ4ZgtN4aZfdzM7geWA58rJ3GZzAjMbBdCUfxHRWZ/C+h0922DiHE7oWrkbcA84GdVxBgGtAFHA0cA/2Rm+1cRp9dHgF+7+9NVxDiCUCe4D3Aw8G0ze03hQiViXEDI2O4k/FPeQaJUYWZ7EK6eJsT1jDCzkwtXUSRunyuSMuMMqJIYcfohhKqvimO4+3fc/c1AJ/CPlabFzF5FqFc/a5Db8wtCm8tBhCqBS6uIMYxQPTSZcDX/X2Y2qtJ9Ep0A/LjY/2GZcaYCi9x9LOGE9v24ryqJ8Q/A+8zsDuB9wB9JHLPu3gPMBW4AriVkHIUl5QGP2TJjlFRJHDNrJ2QEndXEcPefuvtbgY8RSqIlZTIjINSP3e7uTxSZdwiw1MweITS+/YeZfaySGO7+vLtviO+vBnY2s70qTMc6Qp3xRnf/M6H+921VbE+vAUsMJWJ8llBN5e7+IKFu9a2VxIj75LPufjDwGUJbw9rEIh8A1rr7k+6+BbiCUKeZtI54hRKL87sTqqmSyolTSlkxzOwDwCzgo+6+eZDpWEr4x6o0LbsR6nZXxWP2UOBKMzukkrS4+1OJbVhAuAipdHvWAT939y3uvhZ4gJAxVBKj10DHazlxphPq/XH3W4DhhPFyyo7h7uvd/RPu/nbC74y7P1ewTJe7v8PdDycci78vSMf2YzYay45VhKVilKWcOGZ2EPBfwLHu/lQ1MRLL3gi8uZ9zWx9ZzQj6rXt09wnuPt7dxxPqob/k7sWu6PuNYWZv6K27jtUgrwJ22OkDxQB+DrzXzIbFYtq7gJ5KtyemYXfCFc3P+1umRIzHCHX/xHr9twAPVxLDzEbFEgPA54EbvW8d+WPAoWa2a9x3U9hxe68ETonvjyM0fBfWUZYTp5SSMWJ1zH8SMoFideHlxEieJI+m+D/dgHHc/Tl33ytxzK6Oabq1wrQk660/Wji/nBiEkm97jLcXoaro4QpjYGZvIfQyu6XI/ig3TvKYnUjICJ6sJIaZ7ZUoRZwDLCyS1tfHv28kVH0WHv9XAp+x4FBCFdTjFcYoS6k4cfoVwKfd/XdVxvirxLntHcAuFD+39eVltCjX8kVoFHoK2D0xbQYwo8iyiyjeq2TAGMBMQveruwj/mO+uJh2Erp/3Eeru+uvmWk6cacDSavcJoeh8PaF9YA1wchUx/oZworufcDDuUSTGV+P8NcD3Cd1Fv0Y4sUH4Z/4RoSveb4E39bM9peL8NeFKbWNM871VxPgl8ASvdHW8sooYl8Tj5E5CY2RrNdtTsOwqincfLZWW83nlmO0G3lpFDAMuJhyz9wAnVLMthPr9C0r8H5dKyyTg13F77gQ+VEWM4wjH7O8IV9EtRWL8T9zeu4ApRY57A74DPBT3SbHfplSMNxCO1+eBZ+P711QR57+AZ3jlmN1hILkyYnTyyjF7C2V2H9WdxSIiTS6rVUMiIlIjyghERJqcMgIRkSanjEBEpMkpIxARaXLKCEREmpwyAsk9M/v7eNNfLdc52czenfg8w0qPRyVSF7qPQHIvDu1wiIehQMr9zk5eejyrYR4G1ys27zxgg7t/s5K0itSDMgLJFTMbQRjDZizh2Qs/IoxD8wDwZ3dvN7PvEu5efjVh4LTZ8buPEIYp+BBh7P+lReKvIjw05D2E4Ql+RxiMrvdW/pNi3NWEhww9SRjEbwoxY4gxfkMY7mEUMN3d/yeWWhYRxonqITyX4XTvOxyFSOqG1TsBIik7Eljv7kfD9nGcPgu0J0oEs9z9aTPbCVhhZgd5eP4BwCZ3P6zEOka5+/ti/D2AQ93dzezzwFfc/Swzm0+iRGBmUwpiDHP3d5rZUcBswiBrXwKecfeDzOwAwjABIkNObQSSN/cAHzCzuWb2Xi8YjTL6lJndThhqu5Uw7k2vZWWsI7nMWOA6M7uHMPbUQM+2SLoi/r2NcOUPcBhhlFPcfQ3hkYMiQ04ZgeSKh1Eb2wgZwvlm9s/J+WY2gTCO/RQPY/svJwyW12tjGatJLjOPUI10IPCFglgD6R1SehuvlMyLjY0vMuSUEUiumNk+wIvu/gPCE67eAbxAeC4AhMcjbgSei0N2f3iQq9yd8EAUeGUIbgrWWa6bCA+Xx8wmAQcOMm0iZVEbgeTNgcCFZvYXwjNkv0gYYvsaM3s8NhbfQRiq92HCUMiDcR7wIzP7I6GBeEKc/gvgx2Z2LAWPYRzAfwCXmtndhGqruwmP+xQZUuo1JJIRsfF6Z3ffZGZvJjyYfX93f7nOSZOcU4lAJDt2BbrNbGdCe8EXlQlILahEIFKEmX2HcK9A0iXu/t/1SI/IUFJGICLS5NRrSESkySkjEBFpcsoIRESanDICEZEmp4xARKTJ/X9UWeH9trNizQAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x10d9663c8>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -1384,7 +786,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -1417,67 +819,67 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>Action</th>\n",
+       "      <td>Action</td>\n",
        "      <td>126.485294</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Adventure</th>\n",
+       "      <td>Adventure</td>\n",
        "      <td>134.840000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Animation</th>\n",
+       "      <td>Animation</td>\n",
        "      <td>96.596774</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Biography</th>\n",
+       "      <td>Biography</td>\n",
        "      <td>131.844156</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Comedy</th>\n",
+       "      <td>Comedy</td>\n",
        "      <td>107.602564</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Crime</th>\n",
+       "      <td>Crime</td>\n",
        "      <td>122.298387</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Drama</th>\n",
+       "      <td>Drama</td>\n",
        "      <td>126.539568</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Family</th>\n",
+       "      <td>Family</td>\n",
        "      <td>107.500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Fantasy</th>\n",
+       "      <td>Fantasy</td>\n",
        "      <td>112.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Film-Noir</th>\n",
+       "      <td>Film-Noir</td>\n",
        "      <td>97.333333</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>History</th>\n",
+       "      <td>History</td>\n",
        "      <td>66.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Horror</th>\n",
+       "      <td>Horror</td>\n",
        "      <td>102.517241</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Mystery</th>\n",
+       "      <td>Mystery</td>\n",
        "      <td>115.625000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Sci-Fi</th>\n",
+       "      <td>Sci-Fi</td>\n",
        "      <td>109.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Thriller</th>\n",
+       "      <td>Thriller</td>\n",
        "      <td>114.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Western</th>\n",
+       "      <td>Western</td>\n",
        "      <td>136.666667</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1505,7 +907,7 @@
        "Western    136.666667"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1517,27 +919,51 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 145,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x13ec43048>"
+       "'\\nADVANCED LEVEL\\n'"
       ]
      },
-     "execution_count": 145,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
-    },
+    }
+   ],
+   "source": [
+    "'''\n",
+    "ADVANCED LEVEL\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
     {
      "data": {
-      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x13ec28b00>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x1d1a1e88048>"
       ]
      },
+     "execution_count": 19,
      "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -1549,7 +975,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -1584,82 +1010,82 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>Action</th>\n",
+       "      <td>Action</td>\n",
        "      <td>The Dark Knight</td>\n",
        "      <td>9.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Adventure</th>\n",
+       "      <td>Adventure</td>\n",
        "      <td>The Lord of the Rings: The Return of the King</td>\n",
        "      <td>8.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Animation</th>\n",
+       "      <td>Animation</td>\n",
        "      <td>Spirited Away</td>\n",
        "      <td>8.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Biography</th>\n",
+       "      <td>Biography</td>\n",
        "      <td>Schindler's List</td>\n",
        "      <td>8.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Comedy</th>\n",
+       "      <td>Comedy</td>\n",
        "      <td>Modern Times</td>\n",
        "      <td>8.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Crime</th>\n",
+       "      <td>Crime</td>\n",
        "      <td>The Shawshank Redemption</td>\n",
        "      <td>9.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Drama</th>\n",
+       "      <td>Drama</td>\n",
        "      <td>12 Angry Men</td>\n",
        "      <td>8.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Family</th>\n",
+       "      <td>Family</td>\n",
        "      <td>E.T. the Extra-Terrestrial</td>\n",
        "      <td>7.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Fantasy</th>\n",
+       "      <td>Fantasy</td>\n",
        "      <td>The City of Lost Children</td>\n",
        "      <td>7.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Film-Noir</th>\n",
+       "      <td>Film-Noir</td>\n",
        "      <td>The Third Man</td>\n",
        "      <td>8.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>History</th>\n",
+       "      <td>History</td>\n",
        "      <td>Battleship Potemkin</td>\n",
        "      <td>8.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Horror</th>\n",
+       "      <td>Horror</td>\n",
        "      <td>Psycho</td>\n",
        "      <td>8.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Mystery</th>\n",
+       "      <td>Mystery</td>\n",
        "      <td>Rear Window</td>\n",
        "      <td>8.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Sci-Fi</th>\n",
+       "      <td>Sci-Fi</td>\n",
        "      <td>Blade Runner</td>\n",
        "      <td>8.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Thriller</th>\n",
+       "      <td>Thriller</td>\n",
        "      <td>Shadow of a Doubt</td>\n",
        "      <td>8.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Western</th>\n",
+       "      <td>Western</td>\n",
        "      <td>The Good, the Bad and the Ugly</td>\n",
        "      <td>8.9</td>\n",
        "    </tr>\n",
@@ -1688,7 +1114,7 @@
        "Western                   The Good, the Bad and the Ugly          8.9"
       ]
      },
-     "execution_count": 81,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1700,7 +1126,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -1734,7 +1160,7 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>703</th>\n",
+       "      <td>703</td>\n",
        "      <td>7.6</td>\n",
        "      <td>Dracula</td>\n",
        "      <td>APPROVED</td>\n",
@@ -1743,7 +1169,7 @@
        "      <td>[u'Bela Lugosi', u'Helen Chandler', u'David Ma...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>905</th>\n",
+       "      <td>905</td>\n",
        "      <td>7.5</td>\n",
        "      <td>Dracula</td>\n",
        "      <td>R</td>\n",
@@ -1752,7 +1178,7 @@
        "      <td>[u'Gary Oldman', u'Winona Ryder', u'Anthony Ho...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>678</th>\n",
+       "      <td>678</td>\n",
        "      <td>7.7</td>\n",
        "      <td>Les Miserables</td>\n",
        "      <td>PG-13</td>\n",
@@ -1761,7 +1187,7 @@
        "      <td>[u'Hugh Jackman', u'Russell Crowe', u'Anne Hat...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>924</th>\n",
+       "      <td>924</td>\n",
        "      <td>7.5</td>\n",
        "      <td>Les Miserables</td>\n",
        "      <td>PG-13</td>\n",
@@ -1770,7 +1196,7 @@
        "      <td>[u'Liam Neeson', u'Geoffrey Rush', u'Uma Thurm...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>466</th>\n",
+       "      <td>466</td>\n",
        "      <td>7.9</td>\n",
        "      <td>The Girl with the Dragon Tattoo</td>\n",
        "      <td>R</td>\n",
@@ -1779,7 +1205,7 @@
        "      <td>[u'Daniel Craig', u'Rooney Mara', u'Christophe...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>482</th>\n",
+       "      <td>482</td>\n",
        "      <td>7.8</td>\n",
        "      <td>The Girl with the Dragon Tattoo</td>\n",
        "      <td>R</td>\n",
@@ -1788,7 +1214,7 @@
        "      <td>[u'Michael Nyqvist', u'Noomi Rapace', u'Ewa Fr...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>662</th>\n",
+       "      <td>662</td>\n",
        "      <td>7.7</td>\n",
        "      <td>True Grit</td>\n",
        "      <td>PG-13</td>\n",
@@ -1797,10 +1223,10 @@
        "      <td>[u'Jeff Bridges', u'Matt Damon', u'Hailee Stei...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>936</th>\n",
+       "      <td>936</td>\n",
        "      <td>7.4</td>\n",
        "      <td>True Grit</td>\n",
-       "      <td>NaN</td>\n",
+       "      <td>PG-13</td>\n",
        "      <td>Adventure</td>\n",
        "      <td>128</td>\n",
        "      <td>[u'John Wayne', u'Kim Darby', u'Glen Campbell']</td>\n",
@@ -1818,7 +1244,7 @@
        "466          7.9  The Girl with the Dragon Tattoo              R      Crime   \n",
        "482          7.8  The Girl with the Dragon Tattoo              R      Crime   \n",
        "662          7.7                        True Grit          PG-13  Adventure   \n",
-       "936          7.4                        True Grit            NaN  Adventure   \n",
+       "936          7.4                        True Grit          PG-13  Adventure   \n",
        "\n",
        "     duration                                        actors_list  \n",
        "703        85  [u'Bela Lugosi', u'Helen Chandler', u'David Ma...  \n",
@@ -1831,7 +1257,7 @@
        "936       128    [u'John Wayne', u'Kim Darby', u'Glen Campbell']  "
       ]
      },
-     "execution_count": 100,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1844,7 +1270,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -1863,7 +1289,7 @@
        "Name: star_rating, dtype: float64"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1876,7 +1302,67 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# option 1: manually create a list of relevant genres, then filter using that list\n",
+    "genres = movies['genre']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# option 2: automatically create a list of relevant genres by saving the value_counts and then filtering\n",
+    "genres = movies['genre'].value_counts()[movies['genre'].value_counts() > 10].index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# option 3: calculate the average star rating for all genres, then filter using a boolean Series"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# option 4: aggregate by count and mean, then filter using the count\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\nBONUS\\n'"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "'''\n",
+    "BONUS\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -2885,7 +2371,7 @@
        " ...}"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2939,7 +2425,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.7.4"
   }
  },
  "nbformat": 4,