Mission209Solution.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas\n",
    "\n",
    "movies = pandas.read_csv(\"fandango_score_comparison.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FILM</th>\n",
       "      <th>RottenTomatoes</th>\n",
       "      <th>RottenTomatoes_User</th>\n",
       "      <th>Metacritic</th>\n",
       "      <th>Metacritic_User</th>\n",
       "      <th>IMDB</th>\n",
       "      <th>Fandango_Stars</th>\n",
       "      <th>Fandango_Ratingvalue</th>\n",
       "      <th>RT_norm</th>\n",
       "      <th>RT_user_norm</th>\n",
       "      <th>...</th>\n",
       "      <th>IMDB_norm</th>\n",
       "      <th>RT_norm_round</th>\n",
       "      <th>RT_user_norm_round</th>\n",
       "      <th>Metacritic_norm_round</th>\n",
       "      <th>Metacritic_user_norm_round</th>\n",
       "      <th>IMDB_norm_round</th>\n",
       "      <th>Metacritic_user_vote_count</th>\n",
       "      <th>IMDB_user_vote_count</th>\n",
       "      <th>Fandango_votes</th>\n",
       "      <th>Fandango_Difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Avengers: Age of Ultron (2015)</td>\n",
       "      <td>74</td>\n",
       "      <td>86</td>\n",
       "      <td>66</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.70</td>\n",
       "      <td>4.30</td>\n",
       "      <td>...</td>\n",
       "      <td>3.90</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1330</td>\n",
       "      <td>271107</td>\n",
       "      <td>14846</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cinderella (2015)</td>\n",
       "      <td>85</td>\n",
       "      <td>80</td>\n",
       "      <td>67</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.25</td>\n",
       "      <td>4.00</td>\n",
       "      <td>...</td>\n",
       "      <td>3.55</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>249</td>\n",
       "      <td>65709</td>\n",
       "      <td>12640</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ant-Man (2015)</td>\n",
       "      <td>80</td>\n",
       "      <td>90</td>\n",
       "      <td>64</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.50</td>\n",
       "      <td>...</td>\n",
       "      <td>3.90</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>627</td>\n",
       "      <td>103660</td>\n",
       "      <td>12055</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Do You Believe? (2015)</td>\n",
       "      <td>18</td>\n",
       "      <td>84</td>\n",
       "      <td>22</td>\n",
       "      <td>4.7</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>0.90</td>\n",
       "      <td>4.20</td>\n",
       "      <td>...</td>\n",
       "      <td>2.70</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>31</td>\n",
       "      <td>3136</td>\n",
       "      <td>1793</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Hot Tub Time Machine 2 (2015)</td>\n",
       "      <td>14</td>\n",
       "      <td>28</td>\n",
       "      <td>29</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.70</td>\n",
       "      <td>1.40</td>\n",
       "      <td>...</td>\n",
       "      <td>2.55</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>88</td>\n",
       "      <td>19560</td>\n",
       "      <td>1021</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>The Water Diviner (2015)</td>\n",
       "      <td>63</td>\n",
       "      <td>62</td>\n",
       "      <td>50</td>\n",
       "      <td>6.8</td>\n",
       "      <td>7.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.15</td>\n",
       "      <td>3.10</td>\n",
       "      <td>...</td>\n",
       "      <td>3.60</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>34</td>\n",
       "      <td>39373</td>\n",
       "      <td>397</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Irrational Man (2015)</td>\n",
       "      <td>42</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>7.6</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>2.10</td>\n",
       "      <td>2.65</td>\n",
       "      <td>...</td>\n",
       "      <td>3.45</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>17</td>\n",
       "      <td>2680</td>\n",
       "      <td>252</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Top Five (2014)</td>\n",
       "      <td>86</td>\n",
       "      <td>64</td>\n",
       "      <td>81</td>\n",
       "      <td>6.8</td>\n",
       "      <td>6.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.30</td>\n",
       "      <td>3.20</td>\n",
       "      <td>...</td>\n",
       "      <td>3.25</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>124</td>\n",
       "      <td>16876</td>\n",
       "      <td>3223</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Shaun the Sheep Movie (2015)</td>\n",
       "      <td>99</td>\n",
       "      <td>82</td>\n",
       "      <td>81</td>\n",
       "      <td>8.8</td>\n",
       "      <td>7.4</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.95</td>\n",
       "      <td>4.10</td>\n",
       "      <td>...</td>\n",
       "      <td>3.70</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>62</td>\n",
       "      <td>12227</td>\n",
       "      <td>896</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Love &amp; Mercy (2015)</td>\n",
       "      <td>89</td>\n",
       "      <td>87</td>\n",
       "      <td>80</td>\n",
       "      <td>8.5</td>\n",
       "      <td>7.8</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.45</td>\n",
       "      <td>4.35</td>\n",
       "      <td>...</td>\n",
       "      <td>3.90</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>54</td>\n",
       "      <td>5367</td>\n",
       "      <td>864</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Far From The Madding Crowd (2015)</td>\n",
       "      <td>84</td>\n",
       "      <td>77</td>\n",
       "      <td>71</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.20</td>\n",
       "      <td>3.85</td>\n",
       "      <td>...</td>\n",
       "      <td>3.60</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>35</td>\n",
       "      <td>12129</td>\n",
       "      <td>804</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Black Sea (2015)</td>\n",
       "      <td>82</td>\n",
       "      <td>60</td>\n",
       "      <td>62</td>\n",
       "      <td>6.6</td>\n",
       "      <td>6.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.10</td>\n",
       "      <td>3.00</td>\n",
       "      <td>...</td>\n",
       "      <td>3.20</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>37</td>\n",
       "      <td>16547</td>\n",
       "      <td>218</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Leviathan (2014)</td>\n",
       "      <td>99</td>\n",
       "      <td>79</td>\n",
       "      <td>92</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.95</td>\n",
       "      <td>3.95</td>\n",
       "      <td>...</td>\n",
       "      <td>3.85</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>145</td>\n",
       "      <td>22521</td>\n",
       "      <td>64</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Unbroken (2014)</td>\n",
       "      <td>51</td>\n",
       "      <td>70</td>\n",
       "      <td>59</td>\n",
       "      <td>6.5</td>\n",
       "      <td>7.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>2.55</td>\n",
       "      <td>3.50</td>\n",
       "      <td>...</td>\n",
       "      <td>3.60</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>218</td>\n",
       "      <td>77518</td>\n",
       "      <td>9443</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>The Imitation Game (2014)</td>\n",
       "      <td>90</td>\n",
       "      <td>92</td>\n",
       "      <td>73</td>\n",
       "      <td>8.2</td>\n",
       "      <td>8.1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>4.50</td>\n",
       "      <td>4.60</td>\n",
       "      <td>...</td>\n",
       "      <td>4.05</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>566</td>\n",
       "      <td>334164</td>\n",
       "      <td>8055</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Taken 3 (2015)</td>\n",
       "      <td>9</td>\n",
       "      <td>46</td>\n",
       "      <td>26</td>\n",
       "      <td>4.6</td>\n",
       "      <td>6.1</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>0.45</td>\n",
       "      <td>2.30</td>\n",
       "      <td>...</td>\n",
       "      <td>3.05</td>\n",
       "      <td>0.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>240</td>\n",
       "      <td>104235</td>\n",
       "      <td>6757</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Ted 2 (2015)</td>\n",
       "      <td>46</td>\n",
       "      <td>58</td>\n",
       "      <td>48</td>\n",
       "      <td>6.5</td>\n",
       "      <td>6.6</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>2.30</td>\n",
       "      <td>2.90</td>\n",
       "      <td>...</td>\n",
       "      <td>3.30</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>197</td>\n",
       "      <td>49102</td>\n",
       "      <td>6437</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Southpaw (2015)</td>\n",
       "      <td>59</td>\n",
       "      <td>80</td>\n",
       "      <td>57</td>\n",
       "      <td>8.2</td>\n",
       "      <td>7.8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>2.95</td>\n",
       "      <td>4.00</td>\n",
       "      <td>...</td>\n",
       "      <td>3.90</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>128</td>\n",
       "      <td>23561</td>\n",
       "      <td>5597</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Night at the Museum: Secret of the Tomb (2014)</td>\n",
       "      <td>50</td>\n",
       "      <td>58</td>\n",
       "      <td>47</td>\n",
       "      <td>5.8</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2.90</td>\n",
       "      <td>...</td>\n",
       "      <td>3.15</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>103</td>\n",
       "      <td>50291</td>\n",
       "      <td>5445</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Pixels (2015)</td>\n",
       "      <td>17</td>\n",
       "      <td>54</td>\n",
       "      <td>27</td>\n",
       "      <td>5.3</td>\n",
       "      <td>5.6</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>0.85</td>\n",
       "      <td>2.70</td>\n",
       "      <td>...</td>\n",
       "      <td>2.80</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>246</td>\n",
       "      <td>19521</td>\n",
       "      <td>3886</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>McFarland, USA (2015)</td>\n",
       "      <td>79</td>\n",
       "      <td>89</td>\n",
       "      <td>60</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>3.95</td>\n",
       "      <td>4.45</td>\n",
       "      <td>...</td>\n",
       "      <td>3.75</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>59</td>\n",
       "      <td>13769</td>\n",
       "      <td>3364</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Insidious: Chapter 3 (2015)</td>\n",
       "      <td>59</td>\n",
       "      <td>56</td>\n",
       "      <td>52</td>\n",
       "      <td>6.9</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>2.95</td>\n",
       "      <td>2.80</td>\n",
       "      <td>...</td>\n",
       "      <td>3.15</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>115</td>\n",
       "      <td>25134</td>\n",
       "      <td>3276</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>The Man From U.N.C.L.E. (2015)</td>\n",
       "      <td>68</td>\n",
       "      <td>80</td>\n",
       "      <td>55</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.6</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>3.40</td>\n",
       "      <td>4.00</td>\n",
       "      <td>...</td>\n",
       "      <td>3.80</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>144</td>\n",
       "      <td>22104</td>\n",
       "      <td>2686</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Run All Night (2015)</td>\n",
       "      <td>60</td>\n",
       "      <td>59</td>\n",
       "      <td>59</td>\n",
       "      <td>7.3</td>\n",
       "      <td>6.6</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>3.00</td>\n",
       "      <td>2.95</td>\n",
       "      <td>...</td>\n",
       "      <td>3.30</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>141</td>\n",
       "      <td>50438</td>\n",
       "      <td>2066</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Trainwreck (2015)</td>\n",
       "      <td>85</td>\n",
       "      <td>74</td>\n",
       "      <td>75</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.7</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>4.25</td>\n",
       "      <td>3.70</td>\n",
       "      <td>...</td>\n",
       "      <td>3.35</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>169</td>\n",
       "      <td>27380</td>\n",
       "      <td>8381</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Selma (2014)</td>\n",
       "      <td>99</td>\n",
       "      <td>86</td>\n",
       "      <td>89</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>4.95</td>\n",
       "      <td>4.30</td>\n",
       "      <td>...</td>\n",
       "      <td>3.75</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>316</td>\n",
       "      <td>45344</td>\n",
       "      <td>7025</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Ex Machina (2015)</td>\n",
       "      <td>92</td>\n",
       "      <td>86</td>\n",
       "      <td>78</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.7</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>4.60</td>\n",
       "      <td>4.30</td>\n",
       "      <td>...</td>\n",
       "      <td>3.85</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>672</td>\n",
       "      <td>154499</td>\n",
       "      <td>3458</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Still Alice (2015)</td>\n",
       "      <td>88</td>\n",
       "      <td>85</td>\n",
       "      <td>72</td>\n",
       "      <td>7.8</td>\n",
       "      <td>7.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>4.40</td>\n",
       "      <td>4.25</td>\n",
       "      <td>...</td>\n",
       "      <td>3.75</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>153</td>\n",
       "      <td>57123</td>\n",
       "      <td>1258</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Wild Tales (2014)</td>\n",
       "      <td>96</td>\n",
       "      <td>92</td>\n",
       "      <td>77</td>\n",
       "      <td>8.8</td>\n",
       "      <td>8.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>4.80</td>\n",
       "      <td>4.60</td>\n",
       "      <td>...</td>\n",
       "      <td>4.10</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>107</td>\n",
       "      <td>50285</td>\n",
       "      <td>235</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>The End of the Tour (2015)</td>\n",
       "      <td>92</td>\n",
       "      <td>89</td>\n",
       "      <td>84</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.9</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>4.60</td>\n",
       "      <td>4.45</td>\n",
       "      <td>...</td>\n",
       "      <td>3.95</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>19</td>\n",
       "      <td>1320</td>\n",
       "      <td>121</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>Clouds of Sils Maria (2015)</td>\n",
       "      <td>89</td>\n",
       "      <td>67</td>\n",
       "      <td>78</td>\n",
       "      <td>7.1</td>\n",
       "      <td>6.8</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.4</td>\n",
       "      <td>4.45</td>\n",
       "      <td>3.35</td>\n",
       "      <td>...</td>\n",
       "      <td>3.40</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>36</td>\n",
       "      <td>11392</td>\n",
       "      <td>162</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Testament of Youth (2015)</td>\n",
       "      <td>81</td>\n",
       "      <td>79</td>\n",
       "      <td>77</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.9</td>\n",
       "      <td>4.05</td>\n",
       "      <td>3.95</td>\n",
       "      <td>...</td>\n",
       "      <td>3.65</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>15</td>\n",
       "      <td>5495</td>\n",
       "      <td>127</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>Infinitely Polar Bear (2015)</td>\n",
       "      <td>80</td>\n",
       "      <td>76</td>\n",
       "      <td>64</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.9</td>\n",
       "      <td>4.00</td>\n",
       "      <td>3.80</td>\n",
       "      <td>...</td>\n",
       "      <td>3.60</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>8</td>\n",
       "      <td>1062</td>\n",
       "      <td>124</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>Phoenix (2015)</td>\n",
       "      <td>99</td>\n",
       "      <td>81</td>\n",
       "      <td>91</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.4</td>\n",
       "      <td>4.95</td>\n",
       "      <td>4.05</td>\n",
       "      <td>...</td>\n",
       "      <td>3.60</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>21</td>\n",
       "      <td>3687</td>\n",
       "      <td>70</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>The Wolfpack (2015)</td>\n",
       "      <td>84</td>\n",
       "      <td>73</td>\n",
       "      <td>75</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.4</td>\n",
       "      <td>4.20</td>\n",
       "      <td>3.65</td>\n",
       "      <td>...</td>\n",
       "      <td>3.55</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>8</td>\n",
       "      <td>1488</td>\n",
       "      <td>66</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>The Stanford Prison Experiment (2015)</td>\n",
       "      <td>84</td>\n",
       "      <td>87</td>\n",
       "      <td>68</td>\n",
       "      <td>8.5</td>\n",
       "      <td>7.1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.9</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.35</td>\n",
       "      <td>...</td>\n",
       "      <td>3.55</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>6</td>\n",
       "      <td>950</td>\n",
       "      <td>51</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>Tangerine (2015)</td>\n",
       "      <td>95</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>7.3</td>\n",
       "      <td>7.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.9</td>\n",
       "      <td>4.75</td>\n",
       "      <td>4.30</td>\n",
       "      <td>...</td>\n",
       "      <td>3.70</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>14</td>\n",
       "      <td>696</td>\n",
       "      <td>36</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>Magic Mike XXL (2015)</td>\n",
       "      <td>62</td>\n",
       "      <td>64</td>\n",
       "      <td>60</td>\n",
       "      <td>5.4</td>\n",
       "      <td>6.3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.4</td>\n",
       "      <td>3.10</td>\n",
       "      <td>3.20</td>\n",
       "      <td>...</td>\n",
       "      <td>3.15</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>52</td>\n",
       "      <td>11937</td>\n",
       "      <td>9363</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>Home (2015)</td>\n",
       "      <td>45</td>\n",
       "      <td>65</td>\n",
       "      <td>55</td>\n",
       "      <td>7.3</td>\n",
       "      <td>6.7</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.4</td>\n",
       "      <td>2.25</td>\n",
       "      <td>3.25</td>\n",
       "      <td>...</td>\n",
       "      <td>3.35</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>177</td>\n",
       "      <td>41158</td>\n",
       "      <td>7705</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>The Wedding Ringer (2015)</td>\n",
       "      <td>27</td>\n",
       "      <td>66</td>\n",
       "      <td>35</td>\n",
       "      <td>3.3</td>\n",
       "      <td>6.7</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.35</td>\n",
       "      <td>3.30</td>\n",
       "      <td>...</td>\n",
       "      <td>3.35</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>126</td>\n",
       "      <td>37292</td>\n",
       "      <td>6506</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>Woman in Gold (2015)</td>\n",
       "      <td>52</td>\n",
       "      <td>81</td>\n",
       "      <td>51</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.4</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.4</td>\n",
       "      <td>2.60</td>\n",
       "      <td>4.05</td>\n",
       "      <td>...</td>\n",
       "      <td>3.70</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>72</td>\n",
       "      <td>17957</td>\n",
       "      <td>2435</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>The Last Five Years (2015)</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>6.9</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.4</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.00</td>\n",
       "      <td>...</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>20</td>\n",
       "      <td>4110</td>\n",
       "      <td>99</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>Mission: Impossible â€“ Rogue Nation (2015)</td>\n",
       "      <td>92</td>\n",
       "      <td>90</td>\n",
       "      <td>75</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.8</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.60</td>\n",
       "      <td>4.50</td>\n",
       "      <td>...</td>\n",
       "      <td>3.90</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>362</td>\n",
       "      <td>82579</td>\n",
       "      <td>8357</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>Amy (2015)</td>\n",
       "      <td>97</td>\n",
       "      <td>91</td>\n",
       "      <td>85</td>\n",
       "      <td>8.8</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.85</td>\n",
       "      <td>4.55</td>\n",
       "      <td>...</td>\n",
       "      <td>4.00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>60</td>\n",
       "      <td>5630</td>\n",
       "      <td>729</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>Jurassic World (2015)</td>\n",
       "      <td>71</td>\n",
       "      <td>81</td>\n",
       "      <td>59</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.55</td>\n",
       "      <td>4.05</td>\n",
       "      <td>...</td>\n",
       "      <td>3.65</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1281</td>\n",
       "      <td>241807</td>\n",
       "      <td>34390</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>Minions (2015)</td>\n",
       "      <td>54</td>\n",
       "      <td>52</td>\n",
       "      <td>56</td>\n",
       "      <td>5.7</td>\n",
       "      <td>6.7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.70</td>\n",
       "      <td>2.60</td>\n",
       "      <td>...</td>\n",
       "      <td>3.35</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>204</td>\n",
       "      <td>55895</td>\n",
       "      <td>14998</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>Max (2015)</td>\n",
       "      <td>35</td>\n",
       "      <td>73</td>\n",
       "      <td>47</td>\n",
       "      <td>5.9</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.75</td>\n",
       "      <td>3.65</td>\n",
       "      <td>...</td>\n",
       "      <td>3.50</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>15</td>\n",
       "      <td>5444</td>\n",
       "      <td>3412</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>Paul Blart: Mall Cop 2 (2015)</td>\n",
       "      <td>5</td>\n",
       "      <td>36</td>\n",
       "      <td>13</td>\n",
       "      <td>2.4</td>\n",
       "      <td>4.3</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>0.25</td>\n",
       "      <td>1.80</td>\n",
       "      <td>...</td>\n",
       "      <td>2.15</td>\n",
       "      <td>0.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>211</td>\n",
       "      <td>15004</td>\n",
       "      <td>3054</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>The Longest Ride (2015)</td>\n",
       "      <td>31</td>\n",
       "      <td>73</td>\n",
       "      <td>33</td>\n",
       "      <td>4.8</td>\n",
       "      <td>7.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.55</td>\n",
       "      <td>3.65</td>\n",
       "      <td>...</td>\n",
       "      <td>3.60</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>49</td>\n",
       "      <td>25214</td>\n",
       "      <td>2603</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>The Lazarus Effect (2015)</td>\n",
       "      <td>14</td>\n",
       "      <td>23</td>\n",
       "      <td>31</td>\n",
       "      <td>4.9</td>\n",
       "      <td>5.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.70</td>\n",
       "      <td>1.15</td>\n",
       "      <td>...</td>\n",
       "      <td>2.60</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>62</td>\n",
       "      <td>17691</td>\n",
       "      <td>1651</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>The Woman In Black 2 Angel of Death (2015)</td>\n",
       "      <td>22</td>\n",
       "      <td>25</td>\n",
       "      <td>42</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.10</td>\n",
       "      <td>1.25</td>\n",
       "      <td>...</td>\n",
       "      <td>2.45</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>55</td>\n",
       "      <td>14873</td>\n",
       "      <td>1333</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>Danny Collins (2015)</td>\n",
       "      <td>77</td>\n",
       "      <td>75</td>\n",
       "      <td>58</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.85</td>\n",
       "      <td>3.75</td>\n",
       "      <td>...</td>\n",
       "      <td>3.55</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>33</td>\n",
       "      <td>11206</td>\n",
       "      <td>531</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>Spare Parts (2015)</td>\n",
       "      <td>52</td>\n",
       "      <td>83</td>\n",
       "      <td>50</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>2.60</td>\n",
       "      <td>4.15</td>\n",
       "      <td>...</td>\n",
       "      <td>3.60</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>7</td>\n",
       "      <td>47377</td>\n",
       "      <td>450</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>Serena (2015)</td>\n",
       "      <td>18</td>\n",
       "      <td>25</td>\n",
       "      <td>36</td>\n",
       "      <td>5.3</td>\n",
       "      <td>5.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.90</td>\n",
       "      <td>1.25</td>\n",
       "      <td>...</td>\n",
       "      <td>2.70</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>19</td>\n",
       "      <td>12165</td>\n",
       "      <td>50</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>Inside Out (2015)</td>\n",
       "      <td>98</td>\n",
       "      <td>90</td>\n",
       "      <td>94</td>\n",
       "      <td>8.9</td>\n",
       "      <td>8.6</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.90</td>\n",
       "      <td>4.50</td>\n",
       "      <td>...</td>\n",
       "      <td>4.30</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>807</td>\n",
       "      <td>96252</td>\n",
       "      <td>15749</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Mr. Holmes (2015)</td>\n",
       "      <td>87</td>\n",
       "      <td>78</td>\n",
       "      <td>67</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.35</td>\n",
       "      <td>3.90</td>\n",
       "      <td>...</td>\n",
       "      <td>3.70</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>33</td>\n",
       "      <td>7367</td>\n",
       "      <td>1348</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>'71 (2015)</td>\n",
       "      <td>97</td>\n",
       "      <td>82</td>\n",
       "      <td>83</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.85</td>\n",
       "      <td>4.10</td>\n",
       "      <td>...</td>\n",
       "      <td>3.60</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>60</td>\n",
       "      <td>24116</td>\n",
       "      <td>192</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>Two Days, One Night (2014)</td>\n",
       "      <td>97</td>\n",
       "      <td>78</td>\n",
       "      <td>89</td>\n",
       "      <td>8.8</td>\n",
       "      <td>7.4</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.85</td>\n",
       "      <td>3.90</td>\n",
       "      <td>...</td>\n",
       "      <td>3.70</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>123</td>\n",
       "      <td>24345</td>\n",
       "      <td>118</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>Gett: The Trial of Viviane Amsalem (2015)</td>\n",
       "      <td>100</td>\n",
       "      <td>81</td>\n",
       "      <td>90</td>\n",
       "      <td>7.3</td>\n",
       "      <td>7.8</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>5.00</td>\n",
       "      <td>4.05</td>\n",
       "      <td>...</td>\n",
       "      <td>3.90</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>19</td>\n",
       "      <td>1955</td>\n",
       "      <td>59</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>Kumiko, The Treasure Hunter (2015)</td>\n",
       "      <td>87</td>\n",
       "      <td>63</td>\n",
       "      <td>68</td>\n",
       "      <td>6.4</td>\n",
       "      <td>6.7</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.35</td>\n",
       "      <td>3.15</td>\n",
       "      <td>...</td>\n",
       "      <td>3.35</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>19</td>\n",
       "      <td>5289</td>\n",
       "      <td>41</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>146 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               FILM  RottenTomatoes  \\\n",
       "0                    Avengers: Age of Ultron (2015)              74   \n",
       "1                                 Cinderella (2015)              85   \n",
       "2                                    Ant-Man (2015)              80   \n",
       "3                            Do You Believe? (2015)              18   \n",
       "4                     Hot Tub Time Machine 2 (2015)              14   \n",
       "5                          The Water Diviner (2015)              63   \n",
       "6                             Irrational Man (2015)              42   \n",
       "7                                   Top Five (2014)              86   \n",
       "8                      Shaun the Sheep Movie (2015)              99   \n",
       "9                               Love & Mercy (2015)              89   \n",
       "10                Far From The Madding Crowd (2015)              84   \n",
       "11                                 Black Sea (2015)              82   \n",
       "12                                 Leviathan (2014)              99   \n",
       "13                                  Unbroken (2014)              51   \n",
       "14                        The Imitation Game (2014)              90   \n",
       "15                                   Taken 3 (2015)               9   \n",
       "16                                     Ted 2 (2015)              46   \n",
       "17                                  Southpaw (2015)              59   \n",
       "18   Night at the Museum: Secret of the Tomb (2014)              50   \n",
       "19                                    Pixels (2015)              17   \n",
       "20                            McFarland, USA (2015)              79   \n",
       "21                      Insidious: Chapter 3 (2015)              59   \n",
       "22                   The Man From U.N.C.L.E. (2015)              68   \n",
       "23                             Run All Night (2015)              60   \n",
       "24                                Trainwreck (2015)              85   \n",
       "25                                     Selma (2014)              99   \n",
       "26                                Ex Machina (2015)              92   \n",
       "27                               Still Alice (2015)              88   \n",
       "28                                Wild Tales (2014)              96   \n",
       "29                       The End of the Tour (2015)              92   \n",
       "..                                              ...             ...   \n",
       "116                     Clouds of Sils Maria (2015)              89   \n",
       "117                       Testament of Youth (2015)              81   \n",
       "118                    Infinitely Polar Bear (2015)              80   \n",
       "119                                  Phoenix (2015)              99   \n",
       "120                             The Wolfpack (2015)              84   \n",
       "121           The Stanford Prison Experiment (2015)              84   \n",
       "122                                Tangerine (2015)              95   \n",
       "123                           Magic Mike XXL (2015)              62   \n",
       "124                                     Home (2015)              45   \n",
       "125                       The Wedding Ringer (2015)              27   \n",
       "126                            Woman in Gold (2015)              52   \n",
       "127                      The Last Five Years (2015)              60   \n",
       "128     Mission: Impossible â€“ Rogue Nation (2015)              92   \n",
       "129                                      Amy (2015)              97   \n",
       "130                           Jurassic World (2015)              71   \n",
       "131                                  Minions (2015)              54   \n",
       "132                                      Max (2015)              35   \n",
       "133                   Paul Blart: Mall Cop 2 (2015)               5   \n",
       "134                         The Longest Ride (2015)              31   \n",
       "135                       The Lazarus Effect (2015)              14   \n",
       "136      The Woman In Black 2 Angel of Death (2015)              22   \n",
       "137                            Danny Collins (2015)              77   \n",
       "138                              Spare Parts (2015)              52   \n",
       "139                                   Serena (2015)              18   \n",
       "140                               Inside Out (2015)              98   \n",
       "141                               Mr. Holmes (2015)              87   \n",
       "142                                      '71 (2015)              97   \n",
       "143                      Two Days, One Night (2014)              97   \n",
       "144       Gett: The Trial of Viviane Amsalem (2015)             100   \n",
       "145              Kumiko, The Treasure Hunter (2015)              87   \n",
       "\n",
       "     RottenTomatoes_User  Metacritic  Metacritic_User  IMDB  Fandango_Stars  \\\n",
       "0                     86          66              7.1   7.8             5.0   \n",
       "1                     80          67              7.5   7.1             5.0   \n",
       "2                     90          64              8.1   7.8             5.0   \n",
       "3                     84          22              4.7   5.4             5.0   \n",
       "4                     28          29              3.4   5.1             3.5   \n",
       "5                     62          50              6.8   7.2             4.5   \n",
       "6                     53          53              7.6   6.9             4.0   \n",
       "7                     64          81              6.8   6.5             4.0   \n",
       "8                     82          81              8.8   7.4             4.5   \n",
       "9                     87          80              8.5   7.8             4.5   \n",
       "10                    77          71              7.5   7.2             4.5   \n",
       "11                    60          62              6.6   6.4             4.0   \n",
       "12                    79          92              7.2   7.7             4.0   \n",
       "13                    70          59              6.5   7.2             4.5   \n",
       "14                    92          73              8.2   8.1             5.0   \n",
       "15                    46          26              4.6   6.1             4.5   \n",
       "16                    58          48              6.5   6.6             4.5   \n",
       "17                    80          57              8.2   7.8             5.0   \n",
       "18                    58          47              5.8   6.3             4.5   \n",
       "19                    54          27              5.3   5.6             4.5   \n",
       "20                    89          60              7.2   7.5             5.0   \n",
       "21                    56          52              6.9   6.3             4.5   \n",
       "22                    80          55              7.9   7.6             4.5   \n",
       "23                    59          59              7.3   6.6             4.5   \n",
       "24                    74          75              6.0   6.7             4.5   \n",
       "25                    86          89              7.1   7.5             5.0   \n",
       "26                    86          78              7.9   7.7             4.5   \n",
       "27                    85          72              7.8   7.5             4.5   \n",
       "28                    92          77              8.8   8.2             4.5   \n",
       "29                    89          84              7.5   7.9             4.5   \n",
       "..                   ...         ...              ...   ...             ...   \n",
       "116                   67          78              7.1   6.8             3.5   \n",
       "117                   79          77              7.9   7.3             4.0   \n",
       "118                   76          64              7.9   7.2             4.0   \n",
       "119                   81          91              8.0   7.2             3.5   \n",
       "120                   73          75              7.0   7.1             3.5   \n",
       "121                   87          68              8.5   7.1             4.0   \n",
       "122                   86          86              7.3   7.4             4.0   \n",
       "123                   64          60              5.4   6.3             4.5   \n",
       "124                   65          55              7.3   6.7             4.5   \n",
       "125                   66          35              3.3   6.7             4.5   \n",
       "126                   81          51              7.2   7.4             4.5   \n",
       "127                   60          60              6.9   6.0             4.5   \n",
       "128                   90          75              8.0   7.8             4.5   \n",
       "129                   91          85              8.8   8.0             4.5   \n",
       "130                   81          59              7.0   7.3             4.5   \n",
       "131                   52          56              5.7   6.7             4.0   \n",
       "132                   73          47              5.9   7.0             4.5   \n",
       "133                   36          13              2.4   4.3             3.5   \n",
       "134                   73          33              4.8   7.2             4.5   \n",
       "135                   23          31              4.9   5.2             3.0   \n",
       "136                   25          42              4.4   4.9             3.0   \n",
       "137                   75          58              7.1   7.1             4.0   \n",
       "138                   83          50              7.1   7.2             4.5   \n",
       "139                   25          36              5.3   5.4             3.0   \n",
       "140                   90          94              8.9   8.6             4.5   \n",
       "141                   78          67              7.9   7.4             4.0   \n",
       "142                   82          83              7.5   7.2             3.5   \n",
       "143                   78          89              8.8   7.4             3.5   \n",
       "144                   81          90              7.3   7.8             3.5   \n",
       "145                   63          68              6.4   6.7             3.5   \n",
       "\n",
       "     Fandango_Ratingvalue  RT_norm  RT_user_norm         ...           \\\n",
       "0                     4.5     3.70          4.30         ...            \n",
       "1                     4.5     4.25          4.00         ...            \n",
       "2                     4.5     4.00          4.50         ...            \n",
       "3                     4.5     0.90          4.20         ...            \n",
       "4                     3.0     0.70          1.40         ...            \n",
       "5                     4.0     3.15          3.10         ...            \n",
       "6                     3.5     2.10          2.65         ...            \n",
       "7                     3.5     4.30          3.20         ...            \n",
       "8                     4.0     4.95          4.10         ...            \n",
       "9                     4.0     4.45          4.35         ...            \n",
       "10                    4.0     4.20          3.85         ...            \n",
       "11                    3.5     4.10          3.00         ...            \n",
       "12                    3.5     4.95          3.95         ...            \n",
       "13                    4.1     2.55          3.50         ...            \n",
       "14                    4.6     4.50          4.60         ...            \n",
       "15                    4.1     0.45          2.30         ...            \n",
       "16                    4.1     2.30          2.90         ...            \n",
       "17                    4.6     2.95          4.00         ...            \n",
       "18                    4.1     2.50          2.90         ...            \n",
       "19                    4.1     0.85          2.70         ...            \n",
       "20                    4.6     3.95          4.45         ...            \n",
       "21                    4.1     2.95          2.80         ...            \n",
       "22                    4.1     3.40          4.00         ...            \n",
       "23                    4.1     3.00          2.95         ...            \n",
       "24                    4.1     4.25          3.70         ...            \n",
       "25                    4.6     4.95          4.30         ...            \n",
       "26                    4.1     4.60          4.30         ...            \n",
       "27                    4.1     4.40          4.25         ...            \n",
       "28                    4.1     4.80          4.60         ...            \n",
       "29                    4.1     4.60          4.45         ...            \n",
       "..                    ...      ...           ...         ...            \n",
       "116                   3.4     4.45          3.35         ...            \n",
       "117                   3.9     4.05          3.95         ...            \n",
       "118                   3.9     4.00          3.80         ...            \n",
       "119                   3.4     4.95          4.05         ...            \n",
       "120                   3.4     4.20          3.65         ...            \n",
       "121                   3.9     4.20          4.35         ...            \n",
       "122                   3.9     4.75          4.30         ...            \n",
       "123                   4.4     3.10          3.20         ...            \n",
       "124                   4.4     2.25          3.25         ...            \n",
       "125                   4.4     1.35          3.30         ...            \n",
       "126                   4.4     2.60          4.05         ...            \n",
       "127                   4.4     3.00          3.00         ...            \n",
       "128                   4.4     4.60          4.50         ...            \n",
       "129                   4.4     4.85          4.55         ...            \n",
       "130                   4.5     3.55          4.05         ...            \n",
       "131                   4.0     2.70          2.60         ...            \n",
       "132                   4.5     1.75          3.65         ...            \n",
       "133                   3.5     0.25          1.80         ...            \n",
       "134                   4.5     1.55          3.65         ...            \n",
       "135                   3.0     0.70          1.15         ...            \n",
       "136                   3.0     1.10          1.25         ...            \n",
       "137                   4.0     3.85          3.75         ...            \n",
       "138                   4.5     2.60          4.15         ...            \n",
       "139                   3.0     0.90          1.25         ...            \n",
       "140                   4.5     4.90          4.50         ...            \n",
       "141                   4.0     4.35          3.90         ...            \n",
       "142                   3.5     4.85          4.10         ...            \n",
       "143                   3.5     4.85          3.90         ...            \n",
       "144                   3.5     5.00          4.05         ...            \n",
       "145                   3.5     4.35          3.15         ...            \n",
       "\n",
       "     IMDB_norm  RT_norm_round  RT_user_norm_round  Metacritic_norm_round  \\\n",
       "0         3.90            3.5                 4.5                    3.5   \n",
       "1         3.55            4.5                 4.0                    3.5   \n",
       "2         3.90            4.0                 4.5                    3.0   \n",
       "3         2.70            1.0                 4.0                    1.0   \n",
       "4         2.55            0.5                 1.5                    1.5   \n",
       "5         3.60            3.0                 3.0                    2.5   \n",
       "6         3.45            2.0                 2.5                    2.5   \n",
       "7         3.25            4.5                 3.0                    4.0   \n",
       "8         3.70            5.0                 4.0                    4.0   \n",
       "9         3.90            4.5                 4.5                    4.0   \n",
       "10        3.60            4.0                 4.0                    3.5   \n",
       "11        3.20            4.0                 3.0                    3.0   \n",
       "12        3.85            5.0                 4.0                    4.5   \n",
       "13        3.60            2.5                 3.5                    3.0   \n",
       "14        4.05            4.5                 4.5                    3.5   \n",
       "15        3.05            0.5                 2.5                    1.5   \n",
       "16        3.30            2.5                 3.0                    2.5   \n",
       "17        3.90            3.0                 4.0                    3.0   \n",
       "18        3.15            2.5                 3.0                    2.5   \n",
       "19        2.80            1.0                 2.5                    1.5   \n",
       "20        3.75            4.0                 4.5                    3.0   \n",
       "21        3.15            3.0                 3.0                    2.5   \n",
       "22        3.80            3.5                 4.0                    3.0   \n",
       "23        3.30            3.0                 3.0                    3.0   \n",
       "24        3.35            4.5                 3.5                    4.0   \n",
       "25        3.75            5.0                 4.5                    4.5   \n",
       "26        3.85            4.5                 4.5                    4.0   \n",
       "27        3.75            4.5                 4.5                    3.5   \n",
       "28        4.10            5.0                 4.5                    4.0   \n",
       "29        3.95            4.5                 4.5                    4.0   \n",
       "..         ...            ...                 ...                    ...   \n",
       "116       3.40            4.5                 3.5                    4.0   \n",
       "117       3.65            4.0                 4.0                    4.0   \n",
       "118       3.60            4.0                 4.0                    3.0   \n",
       "119       3.60            5.0                 4.0                    4.5   \n",
       "120       3.55            4.0                 3.5                    4.0   \n",
       "121       3.55            4.0                 4.5                    3.5   \n",
       "122       3.70            5.0                 4.5                    4.5   \n",
       "123       3.15            3.0                 3.0                    3.0   \n",
       "124       3.35            2.5                 3.5                    3.0   \n",
       "125       3.35            1.5                 3.5                    2.0   \n",
       "126       3.70            2.5                 4.0                    2.5   \n",
       "127       3.00            3.0                 3.0                    3.0   \n",
       "128       3.90            4.5                 4.5                    4.0   \n",
       "129       4.00            5.0                 4.5                    4.5   \n",
       "130       3.65            3.5                 4.0                    3.0   \n",
       "131       3.35            2.5                 2.5                    3.0   \n",
       "132       3.50            2.0                 3.5                    2.5   \n",
       "133       2.15            0.5                 2.0                    0.5   \n",
       "134       3.60            1.5                 3.5                    1.5   \n",
       "135       2.60            0.5                 1.0                    1.5   \n",
       "136       2.45            1.0                 1.5                    2.0   \n",
       "137       3.55            4.0                 4.0                    3.0   \n",
       "138       3.60            2.5                 4.0                    2.5   \n",
       "139       2.70            1.0                 1.5                    2.0   \n",
       "140       4.30            5.0                 4.5                    4.5   \n",
       "141       3.70            4.5                 4.0                    3.5   \n",
       "142       3.60            5.0                 4.0                    4.0   \n",
       "143       3.70            5.0                 4.0                    4.5   \n",
       "144       3.90            5.0                 4.0                    4.5   \n",
       "145       3.35            4.5                 3.0                    3.5   \n",
       "\n",
       "     Metacritic_user_norm_round  IMDB_norm_round  Metacritic_user_vote_count  \\\n",
       "0                           3.5              4.0                        1330   \n",
       "1                           4.0              3.5                         249   \n",
       "2                           4.0              4.0                         627   \n",
       "3                           2.5              2.5                          31   \n",
       "4                           1.5              2.5                          88   \n",
       "5                           3.5              3.5                          34   \n",
       "6                           4.0              3.5                          17   \n",
       "7                           3.5              3.5                         124   \n",
       "8                           4.5              3.5                          62   \n",
       "9                           4.5              4.0                          54   \n",
       "10                          4.0              3.5                          35   \n",
       "11                          3.5              3.0                          37   \n",
       "12                          3.5              4.0                         145   \n",
       "13                          3.5              3.5                         218   \n",
       "14                          4.0              4.0                         566   \n",
       "15                          2.5              3.0                         240   \n",
       "16                          3.5              3.5                         197   \n",
       "17                          4.0              4.0                         128   \n",
       "18                          3.0              3.0                         103   \n",
       "19                          2.5              3.0                         246   \n",
       "20                          3.5              4.0                          59   \n",
       "21                          3.5              3.0                         115   \n",
       "22                          4.0              4.0                         144   \n",
       "23                          3.5              3.5                         141   \n",
       "24                          3.0              3.5                         169   \n",
       "25                          3.5              4.0                         316   \n",
       "26                          4.0              4.0                         672   \n",
       "27                          4.0              4.0                         153   \n",
       "28                          4.5              4.0                         107   \n",
       "29                          4.0              4.0                          19   \n",
       "..                          ...              ...                         ...   \n",
       "116                         3.5              3.5                          36   \n",
       "117                         4.0              3.5                          15   \n",
       "118                         4.0              3.5                           8   \n",
       "119                         4.0              3.5                          21   \n",
       "120                         3.5              3.5                           8   \n",
       "121                         4.5              3.5                           6   \n",
       "122                         3.5              3.5                          14   \n",
       "123                         2.5              3.0                          52   \n",
       "124                         3.5              3.5                         177   \n",
       "125                         1.5              3.5                         126   \n",
       "126                         3.5              3.5                          72   \n",
       "127                         3.5              3.0                          20   \n",
       "128                         4.0              4.0                         362   \n",
       "129                         4.5              4.0                          60   \n",
       "130                         3.5              3.5                        1281   \n",
       "131                         3.0              3.5                         204   \n",
       "132                         3.0              3.5                          15   \n",
       "133                         1.0              2.0                         211   \n",
       "134                         2.5              3.5                          49   \n",
       "135                         2.5              2.5                          62   \n",
       "136                         2.0              2.5                          55   \n",
       "137                         3.5              3.5                          33   \n",
       "138                         3.5              3.5                           7   \n",
       "139                         2.5              2.5                          19   \n",
       "140                         4.5              4.5                         807   \n",
       "141                         4.0              3.5                          33   \n",
       "142                         4.0              3.5                          60   \n",
       "143                         4.5              3.5                         123   \n",
       "144                         3.5              4.0                          19   \n",
       "145                         3.0              3.5                          19   \n",
       "\n",
       "     IMDB_user_vote_count  Fandango_votes  Fandango_Difference  \n",
       "0                  271107           14846                  0.5  \n",
       "1                   65709           12640                  0.5  \n",
       "2                  103660           12055                  0.5  \n",
       "3                    3136            1793                  0.5  \n",
       "4                   19560            1021                  0.5  \n",
       "5                   39373             397                  0.5  \n",
       "6                    2680             252                  0.5  \n",
       "7                   16876            3223                  0.5  \n",
       "8                   12227             896                  0.5  \n",
       "9                    5367             864                  0.5  \n",
       "10                  12129             804                  0.5  \n",
       "11                  16547             218                  0.5  \n",
       "12                  22521              64                  0.5  \n",
       "13                  77518            9443                  0.4  \n",
       "14                 334164            8055                  0.4  \n",
       "15                 104235            6757                  0.4  \n",
       "16                  49102            6437                  0.4  \n",
       "17                  23561            5597                  0.4  \n",
       "18                  50291            5445                  0.4  \n",
       "19                  19521            3886                  0.4  \n",
       "20                  13769            3364                  0.4  \n",
       "21                  25134            3276                  0.4  \n",
       "22                  22104            2686                  0.4  \n",
       "23                  50438            2066                  0.4  \n",
       "24                  27380            8381                  0.4  \n",
       "25                  45344            7025                  0.4  \n",
       "26                 154499            3458                  0.4  \n",
       "27                  57123            1258                  0.4  \n",
       "28                  50285             235                  0.4  \n",
       "29                   1320             121                  0.4  \n",
       "..                    ...             ...                  ...  \n",
       "116                 11392             162                  0.1  \n",
       "117                  5495             127                  0.1  \n",
       "118                  1062             124                  0.1  \n",
       "119                  3687              70                  0.1  \n",
       "120                  1488              66                  0.1  \n",
       "121                   950              51                  0.1  \n",
       "122                   696              36                  0.1  \n",
       "123                 11937            9363                  0.1  \n",
       "124                 41158            7705                  0.1  \n",
       "125                 37292            6506                  0.1  \n",
       "126                 17957            2435                  0.1  \n",
       "127                  4110              99                  0.1  \n",
       "128                 82579            8357                  0.1  \n",
       "129                  5630             729                  0.1  \n",
       "130                241807           34390                  0.0  \n",
       "131                 55895           14998                  0.0  \n",
       "132                  5444            3412                  0.0  \n",
       "133                 15004            3054                  0.0  \n",
       "134                 25214            2603                  0.0  \n",
       "135                 17691            1651                  0.0  \n",
       "136                 14873            1333                  0.0  \n",
       "137                 11206             531                  0.0  \n",
       "138                 47377             450                  0.0  \n",
       "139                 12165              50                  0.0  \n",
       "140                 96252           15749                  0.0  \n",
       "141                  7367            1348                  0.0  \n",
       "142                 24116             192                  0.0  \n",
       "143                 24345             118                  0.0  \n",
       "144                  1955              59                  0.0  \n",
       "145                  5289              41                  0.0  \n",
       "\n",
       "[146 rows x 22 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 12.,   0.,  27.,   0.,   0.,  41.,   0.,  55.,   0.,  11.]),\n",
       " array([ 3. ,  3.2,  3.4,  3.6,  3.8,  4. ,  4.2,  4.4,  4.6,  4.8,  5. ]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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JUmE4kCRJheFAkiQVhgNJklQYDiRJUmE4kCRJheFAkiQVhgNJklQYDiRJUmE4kCRJheFA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\nSZKK/w8Ntms3x2ABIwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x108966128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "plt.hist(movies[\"Fandango_Stars\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([  1.,   2.,  20.,  14.,   0.,  22.,  27.,  20.,  25.,  15.]),\n",
       " array([ 0.5,  0.9,  1.3,  1.7,  2.1,  2.5,  2.9,  3.3,  3.7,  4.1,  4.5]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x109880668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(movies[\"Metacritic_norm_round\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fandango vs. Metacritic Scores\n",
    "\n",
    "There are no scores below a `3.0` in the Fandango reviews. The Fandango reviews also cluster around `4.5` and `4.0`, whereas the Metacritic reviews seem to cluster around `3.0` and `3.5`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.08904109589\n",
      "2.97260273973\n",
      "0.540385977979\n",
      "0.990960561374\n",
      "4.0\n",
      "3.0\n"
     ]
    }
   ],
   "source": [
    "import numpy\n",
    "\n",
    "f_mean = movies[\"Fandango_Stars\"].mean()\n",
    "m_mean = movies[\"Metacritic_norm_round\"].mean()\n",
    "f_std = movies[\"Fandango_Stars\"].std()\n",
    "m_std = movies[\"Metacritic_norm_round\"].std()\n",
    "f_median = movies[\"Fandango_Stars\"].median()\n",
    "m_median = movies[\"Metacritic_norm_round\"].median()\n",
    "\n",
    "print(f_mean)\n",
    "print(m_mean)\n",
    "print(f_std)\n",
    "print(m_std)\n",
    "print(f_median)\n",
    "print(m_median)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fandango vs. Metacritic Methodology\n",
    "\n",
    "Fandango appears to inflate ratings and isn't transparent about how it calculates and aggregates ratings. Metacritic publishes each individual critic rating and is transparent about how they aggregate them to get a final rating."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fandango vs. Metacritic Number Differences\n",
    "\n",
    "The median Metacritic score appears higher than the mean metacritic score because a few very low reviews \"drag down\" the median. The median Fandango score is lower than the mean Fandango score because a few very high ratings \"drag up\" the mean.\n",
    "\n",
    "Fandango ratings appear clustered between `3` and `5`, and they have a much narrower random range than Metacritic reviews, which go from `0` to `5`.\n",
    "\n",
    "Fandango ratings in general appear to be higher than Metacritic ratings.\n",
    "\n",
    "These may be due to movie studio influence on Fandango ratings, and the fact that Fandango calculates its ratings in a hidden manner."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x109aa4390>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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JkoSFQJIkYSGQJElYCCRJEhYCSZKEhUCSJGEhkCRJWAgkSRIWAkmShIVAkiRh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\nSZKwEEiSJOD/A/awyJhkEoOPAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x109989da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(movies[\"Metacritic_norm_round\"], movies[\"Fandango_Stars\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "movies[\"fm_diff\"] = numpy.abs(movies[\"Metacritic_norm_round\"] - movies[\"Fandango_Stars\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FILM</th>\n",
       "      <th>RottenTomatoes</th>\n",
       "      <th>RottenTomatoes_User</th>\n",
       "      <th>Metacritic</th>\n",
       "      <th>Metacritic_User</th>\n",
       "      <th>IMDB</th>\n",
       "      <th>Fandango_Stars</th>\n",
       "      <th>Fandango_Ratingvalue</th>\n",
       "      <th>RT_norm</th>\n",
       "      <th>RT_user_norm</th>\n",
       "      <th>...</th>\n",
       "      <th>RT_norm_round</th>\n",
       "      <th>RT_user_norm_round</th>\n",
       "      <th>Metacritic_norm_round</th>\n",
       "      <th>Metacritic_user_norm_round</th>\n",
       "      <th>IMDB_norm_round</th>\n",
       "      <th>Metacritic_user_vote_count</th>\n",
       "      <th>IMDB_user_vote_count</th>\n",
       "      <th>Fandango_votes</th>\n",
       "      <th>Fandango_Difference</th>\n",
       "      <th>fm_diff</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Do You Believe? (2015)</td>\n",
       "      <td>18</td>\n",
       "      <td>84</td>\n",
       "      <td>22</td>\n",
       "      <td>4.7</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>0.90</td>\n",
       "      <td>4.20</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>31</td>\n",
       "      <td>3136</td>\n",
       "      <td>1793</td>\n",
       "      <td>0.5</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Little Boy (2015)</td>\n",
       "      <td>20</td>\n",
       "      <td>81</td>\n",
       "      <td>30</td>\n",
       "      <td>5.9</td>\n",
       "      <td>7.4</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1.00</td>\n",
       "      <td>4.05</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>38</td>\n",
       "      <td>5927</td>\n",
       "      <td>811</td>\n",
       "      <td>0.2</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Annie (2014)</td>\n",
       "      <td>27</td>\n",
       "      <td>61</td>\n",
       "      <td>33</td>\n",
       "      <td>4.8</td>\n",
       "      <td>5.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.35</td>\n",
       "      <td>3.05</td>\n",
       "      <td>...</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>108</td>\n",
       "      <td>19222</td>\n",
       "      <td>6835</td>\n",
       "      <td>0.3</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Pixels (2015)</td>\n",
       "      <td>17</td>\n",
       "      <td>54</td>\n",
       "      <td>27</td>\n",
       "      <td>5.3</td>\n",
       "      <td>5.6</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>0.85</td>\n",
       "      <td>2.70</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>246</td>\n",
       "      <td>19521</td>\n",
       "      <td>3886</td>\n",
       "      <td>0.4</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>The Longest Ride (2015)</td>\n",
       "      <td>31</td>\n",
       "      <td>73</td>\n",
       "      <td>33</td>\n",
       "      <td>4.8</td>\n",
       "      <td>7.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.55</td>\n",
       "      <td>3.65</td>\n",
       "      <td>...</td>\n",
       "      <td>1.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>49</td>\n",
       "      <td>25214</td>\n",
       "      <td>2603</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        FILM  RottenTomatoes  RottenTomatoes_User  Metacritic  \\\n",
       "3     Do You Believe? (2015)              18                   84          22   \n",
       "85         Little Boy (2015)              20                   81          30   \n",
       "47              Annie (2014)              27                   61          33   \n",
       "19             Pixels (2015)              17                   54          27   \n",
       "134  The Longest Ride (2015)              31                   73          33   \n",
       "\n",
       "     Metacritic_User  IMDB  Fandango_Stars  Fandango_Ratingvalue  RT_norm  \\\n",
       "3                4.7   5.4             5.0                   4.5     0.90   \n",
       "85               5.9   7.4             4.5                   4.3     1.00   \n",
       "47               4.8   5.2             4.5                   4.2     1.35   \n",
       "19               5.3   5.6             4.5                   4.1     0.85   \n",
       "134              4.8   7.2             4.5                   4.5     1.55   \n",
       "\n",
       "     RT_user_norm   ...     RT_norm_round  RT_user_norm_round  \\\n",
       "3            4.20   ...               1.0                 4.0   \n",
       "85           4.05   ...               1.0                 4.0   \n",
       "47           3.05   ...               1.5                 3.0   \n",
       "19           2.70   ...               1.0                 2.5   \n",
       "134          3.65   ...               1.5                 3.5   \n",
       "\n",
       "     Metacritic_norm_round  Metacritic_user_norm_round  IMDB_norm_round  \\\n",
       "3                      1.0                         2.5              2.5   \n",
       "85                     1.5                         3.0              3.5   \n",
       "47                     1.5                         2.5              2.5   \n",
       "19                     1.5                         2.5              3.0   \n",
       "134                    1.5                         2.5              3.5   \n",
       "\n",
       "     Metacritic_user_vote_count  IMDB_user_vote_count  Fandango_votes  \\\n",
       "3                            31                  3136            1793   \n",
       "85                           38                  5927             811   \n",
       "47                          108                 19222            6835   \n",
       "19                          246                 19521            3886   \n",
       "134                          49                 25214            2603   \n",
       "\n",
       "     Fandango_Difference  fm_diff  \n",
       "3                    0.5      4.0  \n",
       "85                   0.2      3.0  \n",
       "47                   0.3      3.0  \n",
       "19                   0.4      3.0  \n",
       "134                  0.0      3.0  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies.sort_values(by=\"fm_diff\", ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.17844919073895918"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.stats import pearsonr\n",
    "\n",
    "r_value, p_value = pearsonr(movies[\"Fandango_Stars\"], movies[\"Metacritic_norm_round\"])\n",
    "\n",
    "r_value"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fandango and Metacritic Correlation\n",
    "\n",
    "The low correlation between Fandango and Metacritic scores indicates that Fandango scores aren't just inflated, they are also fundamentally different. For whatever reason, it appears that Fandango both inflates scores overall and inflates scores differently depending on the movie."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.stats import linregress\n",
    "\n",
    "slope, intercept, r_value, p_value, stderr_slope = linregress(movies[\"Metacritic_norm_round\"], movies[\"Fandango_Stars\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.0917071528212032"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred = 3 * slope + intercept\n",
    "\n",
    "pred"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Finding Residuals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x10b35db00>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x10b316780>]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "(1, 5)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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pWJAkqUKOHoV9+wZe6fc+9otf9H+OE0/MVvzTpmX/zpxZGAjyH5s8GUI4tmx3Nzz8cOX7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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b3167b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pred_1 = 1 * slope + intercept\n",
    "pred_5 = 5 * slope + intercept\n",
    "plt.scatter(movies[\"Metacritic_norm_round\"], movies[\"Fandango_Stars\"])\n",
    "plt.plot([1,5],[pred_1,pred_5])\n",
    "plt.xlim(1,5)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}