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Fandango: fandango_score_comparison.csv

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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 · About: simonw/fivethirtyeight-datasette

146 rows

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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
1 1 Avengers: Age of Ultron (2015) 74 86 66 7.1 7.8 5.0 4.5 3.7 4.3 3.3 3.55 3.9 3.5 4.5 3.5 3.5 4.0 1330 271107 14846 0.5
2 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
3 3 Ant-Man (2015) 80 90 64 8.1 7.8 5.0 4.5 4.0 4.5 3.2 4.05 3.9 4.0 4.5 3.0 4.0 4.0 627 103660 12055 0.5
4 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 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
6 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 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 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 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
10 10 Love & Mercy (2015) 89 87 80 8.5 7.8 4.5 4.0 4.45 4.35 4.0 4.25 3.9 4.5 4.5 4.0 4.5 4.0 54 5367 864 0.5
11 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
12 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
13 13 Leviathan (2014) 99 79 92 7.2 7.7 4.0 3.5 4.95 3.95 4.6 3.6 3.85 5.0 4.0 4.5 3.5 4.0 145 22521 64 0.5
14 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
15 15 The Imitation Game (2014) 90 92 73 8.2 8.1 5.0 4.6 4.5 4.6 3.65 4.1 4.05 4.5 4.5 3.5 4.0 4.0 566 334164 8055 0.4
16 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
17 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
18 18 Southpaw (2015) 59 80 57 8.2 7.8 5.0 4.6 2.95 4.0 2.85 4.1 3.9 3.0 4.0 3.0 4.0 4.0 128 23561 5597 0.4
19 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 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
21 21 McFarland, USA (2015) 79 89 60 7.2 7.5 5.0 4.6 3.95 4.45 3.0 3.6 3.75 4.0 4.5 3.0 3.5 4.0 59 13769 3364 0.4
22 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
23 23 The Man From U.N.C.L.E. (2015) 68 80 55 7.9 7.6 4.5 4.1 3.4 4.0 2.75 3.95 3.8 3.5 4.0 3.0 4.0 4.0 144 22104 2686 0.4
24 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 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
26 26 Selma (2014) 99 86 89 7.1 7.5 5.0 4.6 4.95 4.3 4.45 3.55 3.75 5.0 4.5 4.5 3.5 4.0 316 45344 7025 0.4
27 27 Ex Machina (2015) 92 86 78 7.9 7.7 4.5 4.1 4.6 4.3 3.9 3.95 3.85 4.5 4.5 4.0 4.0 4.0 672 154499 3458 0.4
28 28 Still Alice (2015) 88 85 72 7.8 7.5 4.5 4.1 4.4 4.25 3.6 3.9 3.75 4.5 4.5 3.5 4.0 4.0 153 57123 1258 0.4
29 29 Wild Tales (2014) 96 92 77 8.8 8.2 4.5 4.1 4.8 4.6 3.85 4.4 4.1 5.0 4.5 4.0 4.5 4.0 107 50285 235 0.4
30 30 The End of the Tour (2015) 92 89 84 7.5 7.9 4.5 4.1 4.6 4.45 4.2 3.75 3.95 4.5 4.5 4.0 4.0 4.0 19 1320 121 0.4
31 31 Red Army (2015) 96 86 82 7.4 7.7 4.5 4.1 4.8 4.3 4.1 3.7 3.85 5.0 4.5 4.0 3.5 4.0 11 2275 54 0.4
32 32 When Marnie Was There (2015) 89 89 71 6.4 7.8 4.5 4.1 4.45 4.45 3.55 3.2 3.9 4.5 4.5 3.5 3.0 4.0 29 4160 46 0.4
33 33 The Hunting Ground (2015) 92 72 77 7.8 7.5 4.5 4.1 4.6 3.6 3.85 3.9 3.75 4.5 3.5 4.0 4.0 4.0 6 1196 42 0.4
34 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
35 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 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 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 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 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 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
41 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 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
43 43 About Elly (2015) 97 86 87 9.6 8.2 4.0 3.6 4.85 4.3 4.35 4.8 4.1 5.0 4.5 4.5 5.0 4.0 23 20659 43 0.4
44 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
45 45 Kingsman: The Secret Service (2015) 75 84 58 7.9 7.8 4.5 4.2 3.75 4.2 2.9 3.95 3.9 4.0 4.0 3.0 4.0 4.0 1054 272204 15205 0.3
46 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
47 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
48 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
49 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
50 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 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 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 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
54 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
55 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 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
57 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 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 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 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
61 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
62 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
63 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 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 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
66 66 Birdman (2014) 92 78 88 8.0 7.9 4.0 3.7 4.6 3.9 4.4 4.0 3.95 4.5 4.0 4.5 4.0 4.0 1171 303505 4194 0.3
67 67 The Gift (2015) 93 79 77 8.3 7.6 4.0 3.7 4.65 3.95 3.85 4.15 3.8 4.5 4.0 4.0 4.0 4.0 121 10891 2680 0.3
68 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
69 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 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
71 71 Seymour: An Introduction (2015) 100 87 83 6.0 7.7 4.5 4.2 5.0 4.35 4.15 3.0 3.85 5.0 4.5 4.0 3.0 4.0 4 243 41 0.3
72 72 The Wrecking Crew (2015) 93 84 67 7.0 7.8 4.5 4.2 4.65 4.2 3.35 3.5 3.9 4.5 4.0 3.5 3.5 4.0 4 732 38 0.3
73 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 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
75 75 The Hobbit: The Battle of the Five Armies (2014) 61 75 59 7.0 7.5 4.5 4.3 3.05 3.75 2.95 3.5 3.75 3.0 4.0 3.0 3.5 4.0 903 289464 15337 0.2
76 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
77 77 Straight Outta Compton (2015) 90 94 72 7.3 8.4 5.0 4.8 4.5 4.7 3.6 3.65 4.2 4.5 4.5 3.5 3.5 4.0 90 15982 8096 0.2
78 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
79 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
80 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
81 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 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
83 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
84 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
85 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
86 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
87 87 Me and Earl and The Dying Girl (2015) 81 89 74 8.4 8.2 4.5 4.3 4.05 4.45 3.7 4.2 4.1 4.0 4.5 3.5 4.0 4.0 41 5269 624 0.2
88 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
89 89 Mad Max: Fury Road (2015) 97 88 89 8.7 8.3 4.5 4.3 4.85 4.4 4.45 4.35 4.15 5.0 4.5 4.5 4.5 4.0 2375 292023 10509 0.2
90 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
91 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
92 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
93 93 Dope (2015) 87 86 72 7.2 7.5 4.5 4.3 4.35 4.3 3.6 3.6 3.75 4.5 4.5 3.5 3.5 4.0 43 4911 2195 0.2
94 94 What We Do in the Shadows (2015) 96 86 75 8.3 7.6 4.5 4.3 4.8 4.3 3.75 4.15 3.8 5.0 4.5 4.0 4.0 4.0 69 39561 259 0.2
95 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
96 96 The Salt of the Earth (2015) 96 90 83 7.8 8.4 4.5 4.3 4.8 4.5 4.15 3.9 4.2 5.0 4.5 4.0 4.0 4.0 13 6605 83 0.2
97 97 Song of the Sea (2014) 99 92 86 8.2 8.2 4.5 4.3 4.95 4.6 4.3 4.1 4.1 5.0 4.5 4.5 4.0 4.0 62 14067 66 0.2
98 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
99 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
100 100 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

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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
);
Powered by Datasette · Queries took 449.034ms · Data license: CC Attribution 4.0 License · Data source: fivethirtyeight/data on GitHub · About: simonw/fivethirtyeight-datasette