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Fandango: fandango_score_comparison.csv

This directory contains the data behind the story Be Suspicious Of Online Movie Ratings, Especially Fandango’s.

fandango_score_comparison.csv contains every film that has a Rotten Tomatoes rating, a RT User rating, a Metacritic score, a Metacritic User score, and IMDb score, and at least 30 fan reviews on Fandango. The data from Fandango was pulled on Aug. 24, 2015.

Column Definition
FILM The film in question
RottenTomatoes The Rotten Tomatoes Tomatometer score for the film
RottenTomatoes_User The Rotten Tomatoes user score for the film
Metacritic The Metacritic critic score for the film
Metacritic_User The Metacritic user score for the film
IMDB The IMDb user score for the film
Fandango_Stars The number of stars the film had on its Fandango movie page
Fandango_Ratingvalue The Fandango ratingValue for the film, as pulled from the HTML of each page. This is the actual average score the movie obtained.
RT_norm The Rotten Tomatoes Tomatometer score for the film , normalized to a 0 to 5 point system
RT_user_norm The Rotten Tomatoes user score for the film , normalized to a 0 to 5 point system
Metacritic_norm The Metacritic critic score for the film, normalized to a 0 to 5 point system
Metacritic_user_nom The Metacritic user score for the film, normalized to a 0 to 5 point system
IMDB_norm The IMDb user score for the film, normalized to a 0 to 5 point system
RT_norm_round The Rotten Tomatoes Tomatometer score for the film , normalized to a 0 to 5 point system and rounded to the nearest half-star
RT_user_norm_round The Rotten Tomatoes user score for the film , normalized to a 0 to 5 point system and rounded to the nearest half-star
Metacritic_norm_round The Metacritic critic score for the film, normalized to a 0 to 5 point system and rounded to the nearest half-star
Metacritic_user_norm_round The Metacritic user score for the film, normalized to a 0 to 5 point system and rounded to the nearest half-star
IMDB_norm_round The IMDb user score for the film, normalized to a 0 to 5 point system and rounded to the nearest half-star
Metacritic_user_vote_count The number of user votes the film had on Metacritic
IMDB_user_vote_count The number of user votes the film had on IMDb
Fandango_votes The number of user votes the film had on Fandango
Fandango_Difference The difference between the presented Fandango_Stars and the actual Fandango_Ratingvalue

fandango_scrape.csv contains every film we pulled from Fandango.

Column Definiton
FILM The movie
STARS Number of stars presented on Fandango.com
RATING The Fandango ratingValue for the film, as pulled from the HTML of each page. This is the actual average score the movie obtained.
VOTES number of people who had reviewed the film at the time we pulled it.

Data license: CC Attribution 4.0 License · Data source: fivethirtyeight/data on GitHub

146 rows sorted by IMDB_norm_round

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Suggested facets: Fandango_Stars, Fandango_Ratingvalue, RT_norm_round, RT_user_norm_round, Metacritic_norm_round, Metacritic_user_norm_round, IMDB_norm_round, Fandango_Difference

Link rowid FILM RottenTomatoes RottenTomatoes_User Metacritic Metacritic_User IMDB Fandango_Stars Fandango_Ratingvalue RT_norm RT_user_norm Metacritic_norm Metacritic_user_nom IMDB_norm RT_norm_round RT_user_norm_round Metacritic_norm_round Metacritic_user_norm_round IMDB_norm_round ▼ Metacritic_user_vote_count IMDB_user_vote_count Fandango_votes Fandango_Difference
49 Fantastic Four (2015) 9 20 27 2.5 4.0 3.0 2.7 0.45 1.0 1.35 1.25 2.0 0.5 1.0 1.5 1.5 2.0 421 39838 6288 0.3
98 Fifty Shades of Grey (2015) 25 42 46 3.2 4.2 4.0 3.9 1.25 2.1 2.3 1.6 2.1 1.5 2.0 2.5 1.5 2.0 778 179506 34846 0.1
102 The Gallows (2015) 16 27 30 7.0 4.4 3.0 2.9 0.8 1.35 1.5 3.5 2.2 1.0 1.5 1.5 3.5 2.0 80 5511 1896 0.1
134 Paul Blart: Mall Cop 2 (2015) 5 36 13 2.4 4.3 3.5 3.5 0.25 1.8 0.65 1.2 2.15 0.5 2.0 0.5 1.0 2.0 211 15004 3054 0.0
4 Do You Believe? (2015) 18 84 22 4.7 5.4 5.0 4.5 0.9 4.2 1.1 2.35 2.7 1.0 4.0 1.0 2.5 2.5 31 3136 1793 0.5
5 Hot Tub Time Machine 2 (2015) 14 28 29 3.4 5.1 3.5 3.0 0.7 1.4 1.45 1.7 2.55 0.5 1.5 1.5 1.5 2.5 88 19560 1021 0.5
34 The Boy Next Door (2015) 10 35 30 5.5 4.6 4.0 3.6 0.5 1.75 1.5 2.75 2.3 0.5 2.0 1.5 3.0 2.5 75 19658 2800 0.4
48 Annie (2014) 27 61 33 4.8 5.2 4.5 4.2 1.35 3.05 1.65 2.4 2.6 1.5 3.0 1.5 2.5 2.5 108 19222 6835 0.3
54 Hot Pursuit (2015) 8 37 31 3.7 4.9 4.0 3.7 0.4 1.85 1.55 1.85 2.45 0.5 2.0 1.5 2.0 2.5 78 17061 2618 0.3
61 Unfinished Business (2015) 11 27 32 3.8 5.4 3.5 3.2 0.55 1.35 1.6 1.9 2.7 0.5 1.5 1.5 2.0 2.5 39 14346 821 0.3
80 Poltergeist (2015) 31 24 47 3.7 5.0 3.0 2.8 1.55 1.2 2.35 1.85 2.5 1.5 1.0 2.5 2.0 2.5 142 21372 2704 0.2
83 Blackhat (2015) 34 25 51 5.4 5.4 3.0 2.8 1.7 1.25 2.55 2.7 2.7 1.5 1.5 2.5 2.5 2.5 80 27328 1430 0.2
108 The Vatican Tapes (2015) 13 21 37 5.4 4.6 3.0 2.9 0.65 1.05 1.85 2.7 2.3 0.5 1.0 2.0 2.5 2.5 5 952 210 0.1
136 The Lazarus Effect (2015) 14 23 31 4.9 5.2 3.0 3.0 0.7 1.15 1.55 2.45 2.6 0.5 1.0 1.5 2.5 2.5 62 17691 1651 0.0
137 The Woman In Black 2 Angel of Death (2015) 22 25 42 4.4 4.9 3.0 3.0 1.1 1.25 2.1 2.2 2.45 1.0 1.5 2.0 2.0 2.5 55 14873 1333 0.0
140 Serena (2015) 18 25 36 5.3 5.4 3.0 3.0 0.9 1.25 1.8 2.65 2.7 1.0 1.5 2.0 2.5 2.5 19 12165 50 0.0
12 Black Sea (2015) 82 60 62 6.6 6.4 4.0 3.5 4.1 3.0 3.1 3.3 3.2 4.0 3.0 3.0 3.5 3.0 37 16547 218 0.5
16 Taken 3 (2015) 9 46 26 4.6 6.1 4.5 4.1 0.45 2.3 1.3 2.3 3.05 0.5 2.5 1.5 2.5 3.0 240 104235 6757 0.4
19 Night at the Museum: Secret of the Tomb (2014) 50 58 47 5.8 6.3 4.5 4.1 2.5 2.9 2.35 2.9 3.15 2.5 3.0 2.5 3.0 3.0 103 50291 5445 0.4
20 Pixels (2015) 17 54 27 5.3 5.6 4.5 4.1 0.85 2.7 1.35 2.65 2.8 1.0 2.5 1.5 2.5 3.0 246 19521 3886 0.4
22 Insidious: Chapter 3 (2015) 59 56 52 6.9 6.3 4.5 4.1 2.95 2.8 2.6 3.45 3.15 3.0 3.0 2.5 3.5 3.0 115 25134 3276 0.4
35 Aloha (2015) 19 31 40 4.0 5.5 3.5 3.1 0.95 1.55 2.0 2.0 2.75 1.0 1.5 2.0 2.0 3.0 67 12255 2284 0.4
36 The Loft (2015) 11 40 24 2.4 6.3 4.0 3.6 0.55 2.0 1.2 1.2 3.15 0.5 2.0 1.0 1.0 3.0 80 21319 811 0.4
37 5 Flights Up (2015) 52 47 55 6.8 6.1 4.0 3.6 2.6 2.35 2.75 3.4 3.05 2.5 2.5 3.0 3.5 3.0 6 2174 79 0.4
38 Welcome to Me (2015) 71 47 67 6.9 5.9 4.0 3.6 3.55 2.35 3.35 3.45 2.95 3.5 2.5 3.5 3.5 3.0 33 8301 56 0.4
39 Saint Laurent (2015) 51 45 52 6.8 6.3 3.5 3.1 2.55 2.25 2.6 3.4 3.15 2.5 2.5 2.5 3.5 3.0 8 2196 43 0.4
40 Maps to the Stars (2015) 60 46 67 5.8 6.3 3.5 3.1 3.0 2.3 3.35 2.9 3.15 3.0 2.5 3.5 3.0 3.0 46 22440 35 0.4
47 The Divergent Series: Insurgent (2015) 30 61 42 5.4 6.4 4.5 4.2 1.5 3.05 2.1 2.7 3.2 1.5 3.0 2.0 2.5 3.0 206 89618 7123 0.3
57 Project Almanac (2015) 34 46 47 5.4 6.4 4.0 3.7 1.7 2.3 2.35 2.7 3.2 1.5 2.5 2.5 2.5 3.0 95 40057 1834 0.3
58 Ricki and the Flash (2015) 64 53 54 7.0 6.2 4.0 3.7 3.2 2.65 2.7 3.5 3.1 3.0 2.5 2.5 3.5 3.0 37 1769 1462 0.3
59 Seventh Son (2015) 12 35 30 3.9 5.5 3.5 3.2 0.6 1.75 1.5 1.95 2.75 0.5 2.0 1.5 2.0 3.0 126 41177 1213 0.3
60 Mortdecai (2015) 12 30 27 3.2 5.5 3.5 3.2 0.6 1.5 1.35 1.6 2.75 0.5 1.5 1.5 1.5 3.0 144 31878 1196 0.3
63 True Story (2015) 45 41 50 5.7 6.3 3.5 3.2 2.25 2.05 2.5 2.85 3.15 2.5 2.0 2.5 3.0 3.0 37 16069 540 0.3
64 Child 44 (2015) 26 44 41 5.3 6.4 4.0 3.7 1.3 2.2 2.05 2.65 3.2 1.5 2.0 2.0 2.5 3.0 73 19220 308 0.3
65 Dark Places (2015) 26 33 39 7.9 6.3 4.0 3.7 1.3 1.65 1.95 3.95 3.15 1.5 1.5 2.0 4.0 3.0 18 9856 55 0.3
68 Unfriended (2015) 60 39 59 5.8 5.9 3.0 2.7 3.0 1.95 2.95 2.9 2.95 3.0 2.0 3.0 3.0 3.0 130 22348 2507 0.3
78 Vacation (2015) 27 55 34 6.2 6.3 4.0 3.8 1.35 2.75 1.7 3.1 3.15 1.5 3.0 1.5 3.0 3.0 72 8179 3815 0.2
85 Sinister 2 (2015) 13 34 31 5.0 5.5 3.5 3.3 0.65 1.7 1.55 2.5 2.75 0.5 1.5 1.5 2.5 3.0 37 3200 973 0.2
88 Maggie (2015) 54 32 52 6.5 5.6 3.5 3.3 2.7 1.6 2.6 3.25 2.8 2.5 1.5 2.5 3.5 3.0 90 18986 95 0.2
91 The SpongeBob Movie: Sponge Out of Water (2015) 78 55 62 6.5 6.1 3.5 3.3 3.9 2.75 3.1 3.25 3.05 4.0 3.0 3.0 3.5 3.0 196 26046 4493 0.2
99 Get Hard (2015) 29 48 34 3.8 6.1 4.0 3.9 1.45 2.4 1.7 1.9 3.05 1.5 2.5 1.5 2.0 3.0 145 50022 5933 0.1
101 Jupiter Ascending (2015) 26 40 40 4.5 5.5 3.5 3.4 1.3 2.0 2.0 2.25 2.75 1.5 2.0 2.0 2.5 3.0 503 105412 4122 0.1
104 Strange Magic (2015) 17 50 25 5.3 5.7 3.5 3.4 0.85 2.5 1.25 2.65 2.85 1.0 2.5 1.5 2.5 3.0 41 3658 1117 0.1
105 The Gunman (2015) 17 34 39 4.3 5.8 3.5 3.4 0.85 1.7 1.95 2.15 2.9 1.0 1.5 2.0 2.0 3.0 49 16663 996 0.1
106 Hitman: Agent 47 (2015) 7 49 28 3.3 5.9 4.0 3.9 0.35 2.45 1.4 1.65 2.95 0.5 2.5 1.5 1.5 3.0 67 4260 917 0.1
109 A Little Chaos (2015) 40 47 51 7.0 6.4 4.0 3.9 2.0 2.35 2.55 3.5 3.2 2.0 2.5 2.5 3.5 3.0 7 4778 83 0.1
112 Into the Woods (2014) 71 50 69 6.1 6.0 3.5 3.4 3.55 2.5 3.45 3.05 3.0 3.5 2.5 3.5 3.0 3.0 307 81679 13055 0.1
116 While We're Young (2015) 83 52 76 6.7 6.4 3.0 2.9 4.15 2.6 3.8 3.35 3.2 4.0 2.5 4.0 3.5 3.0 65 17647 449 0.1
124 Magic Mike XXL (2015) 62 64 60 5.4 6.3 4.5 4.4 3.1 3.2 3.0 2.7 3.15 3.0 3.0 3.0 2.5 3.0 52 11937 9363 0.1
128 The Last Five Years (2015) 60 60 60 6.9 6.0 4.5 4.4 3.0 3.0 3.0 3.45 3.0 3.0 3.0 3.0 3.5 3.0 20 4110 99 0.1
2 Cinderella (2015) 85 80 67 7.5 7.1 5.0 4.5 4.25 4.0 3.35 3.75 3.55 4.5 4.0 3.5 4.0 3.5 249 65709 12640 0.5
6 The Water Diviner (2015) 63 62 50 6.8 7.2 4.5 4.0 3.15 3.1 2.5 3.4 3.6 3.0 3.0 2.5 3.5 3.5 34 39373 397 0.5
7 Irrational Man (2015) 42 53 53 7.6 6.9 4.0 3.5 2.1 2.65 2.65 3.8 3.45 2.0 2.5 2.5 4.0 3.5 17 2680 252 0.5
8 Top Five (2014) 86 64 81 6.8 6.5 4.0 3.5 4.3 3.2 4.05 3.4 3.25 4.5 3.0 4.0 3.5 3.5 124 16876 3223 0.5
9 Shaun the Sheep Movie (2015) 99 82 81 8.8 7.4 4.5 4.0 4.95 4.1 4.05 4.4 3.7 5.0 4.0 4.0 4.5 3.5 62 12227 896 0.5
11 Far From The Madding Crowd (2015) 84 77 71 7.5 7.2 4.5 4.0 4.2 3.85 3.55 3.75 3.6 4.0 4.0 3.5 4.0 3.5 35 12129 804 0.5
14 Unbroken (2014) 51 70 59 6.5 7.2 4.5 4.1 2.55 3.5 2.95 3.25 3.6 2.5 3.5 3.0 3.5 3.5 218 77518 9443 0.4
17 Ted 2 (2015) 46 58 48 6.5 6.6 4.5 4.1 2.3 2.9 2.4 3.25 3.3 2.5 3.0 2.5 3.5 3.5 197 49102 6437 0.4
24 Run All Night (2015) 60 59 59 7.3 6.6 4.5 4.1 3.0 2.95 2.95 3.65 3.3 3.0 3.0 3.0 3.5 3.5 141 50438 2066 0.4
25 Trainwreck (2015) 85 74 75 6.0 6.7 4.5 4.1 4.25 3.7 3.75 3.0 3.35 4.5 3.5 4.0 3.0 3.5 169 27380 8381 0.4
41 I'll See You In My Dreams (2015) 94 70 75 6.9 6.9 4.0 3.6 4.7 3.5 3.75 3.45 3.45 4.5 3.5 4.0 3.5 3.5 14 1151 281 0.4
42 Timbuktu (2015) 99 78 91 6.9 7.2 4.0 3.6 4.95 3.9 4.55 3.45 3.6 5.0 4.0 4.5 3.5 3.5 37 6246 74 0.4
44 The Diary of a Teenage Girl (2015) 95 81 87 6.3 7.0 4.0 3.6 4.75 4.05 4.35 3.15 3.5 5.0 4.0 4.5 3.0 3.5 18 1107 38 0.4
46 Tomorrowland (2015) 50 53 60 6.4 6.6 4.0 3.7 2.5 2.65 3.0 3.2 3.3 2.5 2.5 3.0 3.0 3.5 262 42937 8077 0.3
50 Terminator Genisys (2015) 26 60 38 6.4 6.9 4.5 4.2 1.3 3.0 1.9 3.2 3.45 1.5 3.0 2.0 3.0 3.5 779 85585 6272 0.3
51 Pitch Perfect 2 (2015) 67 68 63 5.7 6.7 4.5 4.2 3.35 3.4 3.15 2.85 3.35 3.5 3.5 3.0 3.0 3.5 192 56333 4577 0.3
52 Entourage (2015) 32 68 38 5.2 7.1 4.5 4.2 1.6 3.4 1.9 2.6 3.55 1.5 3.5 2.0 2.5 3.5 96 21914 4279 0.3
53 The Age of Adaline (2015) 54 68 51 7.4 7.3 4.5 4.2 2.7 3.4 2.55 3.7 3.65 2.5 3.5 2.5 3.5 3.5 100 45510 3325 0.3
55 The DUFF (2015) 71 68 56 6.4 6.6 4.5 4.2 3.55 3.4 2.8 3.2 3.3 3.5 3.5 3.0 3.0 3.5 69 33594 2273 0.3
56 Black or White (2015) 39 68 45 7.9 6.6 4.5 4.2 1.95 3.4 2.25 3.95 3.3 2.0 3.5 2.5 4.0 3.5 24 4857 1862 0.3
62 American Ultra (2015) 46 52 50 6.8 6.5 4.0 3.7 2.3 2.6 2.5 3.4 3.25 2.5 2.5 2.5 3.5 3.5 42 3017 638 0.3
69 Monkey Kingdom (2015) 94 77 72 7.5 7.3 4.5 4.2 4.7 3.85 3.6 3.75 3.65 4.5 4.0 3.5 4.0 3.5 15 883 701 0.3
70 Mr. Turner (2014) 98 56 94 6.6 6.9 3.5 3.2 4.9 2.8 4.7 3.3 3.45 5.0 3.0 4.5 3.5 3.5 98 13296 290 0.3
73 American Sniper (2015) 72 85 72 6.6 7.4 5.0 4.8 3.6 4.25 3.6 3.3 3.7 3.5 4.5 3.5 3.5 3.5 850 251856 34085 0.2
74 Furious 7 (2015) 81 84 67 6.8 7.4 5.0 4.8 4.05 4.2 3.35 3.4 3.7 4.0 4.0 3.5 3.5 3.5 764 207211 33538 0.2
76 San Andreas (2015) 50 58 43 5.5 6.5 4.5 4.3 2.5 2.9 2.15 2.75 3.25 2.5 3.0 2.0 3.0 3.5 199 45723 9749 0.2
79 Chappie (2015) 30 57 41 7.4 7.0 4.0 3.8 1.5 2.85 2.05 3.7 3.5 1.5 3.0 2.0 3.5 3.5 637 125088 3642 0.2
81 Paper Towns (2015) 55 57 56 6.2 6.9 4.0 3.8 2.75 2.85 2.8 3.1 3.45 3.0 3.0 3.0 3.0 3.5 51 14156 1750 0.2
82 Big Eyes (2014) 72 69 62 7.5 7.0 4.0 3.8 3.6 3.45 3.1 3.75 3.5 3.5 3.5 3.0 4.0 3.5 127 39152 1501 0.2
84 Self/less (2015) 20 51 34 8.4 6.6 4.0 3.8 1.0 2.55 1.7 4.2 3.3 1.0 2.5 1.5 4.0 3.5 77 5626 1415 0.2
86 Little Boy (2015) 20 81 30 5.9 7.4 4.5 4.3 1.0 4.05 1.5 2.95 3.7 1.0 4.0 1.5 3.0 3.5 38 5927 811 0.2
90 Spy (2015) 93 82 75 6.3 7.3 4.5 4.3 4.65 4.1 3.75 3.15 3.65 4.5 4.0 4.0 3.0 3.5 318 66636 9418 0.2
92 Paddington (2015) 98 81 77 8.2 7.2 4.5 4.3 4.9 4.05 3.85 4.1 3.6 5.0 4.0 4.0 4.0 3.5 149 38593 4045 0.2
95 The Overnight (2015) 82 65 65 8.6 6.9 3.5 3.3 4.1 3.25 3.25 4.3 3.45 4.0 3.5 3.5 4.5 3.5 13 867 110 0.2
100 Focus (2015) 57 54 56 6.2 6.6 4.0 3.9 2.85 2.7 2.8 3.1 3.3 3.0 2.5 3.0 3.0 3.5 167 101264 4933 0.1
103 The Second Best Exotic Marigold Hotel (2015) 62 63 51 6.1 6.6 4.0 3.9 3.1 3.15 2.55 3.05 3.3 3.0 3.0 2.5 3.0 3.5 41 12940 1870 0.1
107 Cake (2015) 49 47 49 6.4 6.5 3.5 3.4 2.45 2.35 2.45 3.2 3.25 2.5 2.5 2.5 3.0 3.5 44 19627 482 0.1
110 The 100-Year-Old Man Who Climbed Out the Window and Disappeared (2015) 67 69 58 4.6 7.1 4.0 3.9 3.35 3.45 2.9 2.3 3.55 3.5 3.5 3.0 2.5 3.5 5 17237 63 0.1
111 Escobar: Paradise Lost (2015) 52 52 56 6.9 6.6 4.0 3.9 2.6 2.6 2.8 3.45 3.3 2.5 2.5 3.0 3.5 3.5 7 7819 48 0.1
113 It Follows (2015) 96 65 83 7.5 6.9 3.0 2.9 4.8 3.25 4.15 3.75 3.45 5.0 3.5 4.0 4.0 3.5 551 64656 2097 0.1
114 Inherent Vice (2014) 73 52 81 7.4 6.7 3.0 2.9 3.65 2.6 4.05 3.7 3.35 3.5 2.5 4.0 3.5 3.5 286 44711 1078 0.1
115 A Most Violent Year (2014) 90 69 79 7.0 7.1 3.5 3.4 4.5 3.45 3.95 3.5 3.55 4.5 3.5 4.0 3.5 3.5 133 32166 675 0.1
117 Clouds of Sils Maria (2015) 89 67 78 7.1 6.8 3.5 3.4 4.45 3.35 3.9 3.55 3.4 4.5 3.5 4.0 3.5 3.5 36 11392 162 0.1
118 Testament of Youth (2015) 81 79 77 7.9 7.3 4.0 3.9 4.05 3.95 3.85 3.95 3.65 4.0 4.0 4.0 4.0 3.5 15 5495 127 0.1
119 Infinitely Polar Bear (2015) 80 76 64 7.9 7.2 4.0 3.9 4.0 3.8 3.2 3.95 3.6 4.0 4.0 3.0 4.0 3.5 8 1062 124 0.1
120 Phoenix (2015) 99 81 91 8.0 7.2 3.5 3.4 4.95 4.05 4.55 4.0 3.6 5.0 4.0 4.5 4.0 3.5 21 3687 70 0.1
121 The Wolfpack (2015) 84 73 75 7.0 7.1 3.5 3.4 4.2 3.65 3.75 3.5 3.55 4.0 3.5 4.0 3.5 3.5 8 1488 66 0.1
122 The Stanford Prison Experiment (2015) 84 87 68 8.5 7.1 4.0 3.9 4.2 4.35 3.4 4.25 3.55 4.0 4.5 3.5 4.5 3.5 6 950 51 0.1
123 Tangerine (2015) 95 86 86 7.3 7.4 4.0 3.9 4.75 4.3 4.3 3.65 3.7 5.0 4.5 4.5 3.5 3.5 14 696 36 0.1
125 Home (2015) 45 65 55 7.3 6.7 4.5 4.4 2.25 3.25 2.75 3.65 3.35 2.5 3.5 3.0 3.5 3.5 177 41158 7705 0.1

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CREATE TABLE "fandango/fandango_score_comparison" (
"FILM" TEXT,
  "RottenTomatoes" INTEGER,
  "RottenTomatoes_User" INTEGER,
  "Metacritic" INTEGER,
  "Metacritic_User" REAL,
  "IMDB" REAL,
  "Fandango_Stars" REAL,
  "Fandango_Ratingvalue" REAL,
  "RT_norm" REAL,
  "RT_user_norm" REAL,
  "Metacritic_norm" REAL,
  "Metacritic_user_nom" REAL,
  "IMDB_norm" REAL,
  "RT_norm_round" REAL,
  "RT_user_norm_round" REAL,
  "Metacritic_norm_round" REAL,
  "Metacritic_user_norm_round" REAL,
  "IMDB_norm_round" REAL,
  "Metacritic_user_vote_count" INTEGER,
  "IMDB_user_vote_count" INTEGER,
  "Fandango_votes" INTEGER,
  "Fandango_Difference" REAL
)
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