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/core/five-thirty-eight-datasets/
https://datahub.io/core/five-thirty-eight-datasets/_r/-/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/config.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/ahca-polls/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/ahca-polls/data/ahca_polls.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/ahca-polls/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/airline-safety/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/airline-safety/data/airline-safety.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/airline-safety/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/alcohol-consumption/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/alcohol-consumption/data/drinks.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/alcohol-consumption/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/antiquities-act/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/antiquities-act/data/actions_under_antiquities_act.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/antiquities-act/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/avengers/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/avengers/data/avengers.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/avengers/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/bachelorette/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/bachelorette/data/bachelorette.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/bachelorette/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/bad-drivers/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/bad-drivers/data/bad-drivers.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/bad-drivers/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/bechdel/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/bechdel/data/movies.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/bechdel/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/biopics/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/biopics/data/biopics.csv
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https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/births/data/US_births_2000-2014_SSA.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/births/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/bob-ross/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/bob-ross/data/elements-by-episode.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/bob-ross/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/candy-power-ranking/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/candy-power-ranking/data/candy-data.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/candy-power-ranking/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/chess-transfers/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/chess-transfers/data/transfers.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/chess-transfers/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/classic-rock/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/classic-rock/data/classic-rock-raw-data.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/classic-rock/data/classic-rock-song-list.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/classic-rock/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/college-majors/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/college-majors/data/all-ages.csv
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https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/college-majors/data/recent-grads.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/college-majors/data/women-stem.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/college-majors/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/comic-characters/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/comic-characters/data/dc-wikia-data.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/comic-characters/data/marvel-wikia-data.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/comic-characters/datapackage.json
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https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/congress-age/README.md
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https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/congress-generic-ballot/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/congress-generic-ballot/data/generic_polllist.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/congress-generic-ballot/data/generic_topline.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/congress-generic-ballot/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/congress-resignations/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/congress-resignations/data/congressional_resignations.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/congress-resignations/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/congress-trump-score/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/congress-trump-score/data/averages.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/congress-trump-score/data/vote_predictions.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/congress-trump-score/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/cousin-marriage/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/cousin-marriage/data/cousin-marriage-data.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/cousin-marriage/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/daily-show-guests/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/daily-show-guests/data/daily_show_guests.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/daily-show-guests/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/democratic-bench/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/democratic-bench/data/democratic-bench.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/democratic-bench/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/drug-use-by-age/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/drug-use-by-age/data/drug-use-by-age.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/drug-use-by-age/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/early-senate-polls/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/early-senate-polls/data/early-senate-polls.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/early-senate-polls/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/elo-blatter/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/elo-blatter/data/elo_blatter.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/elo-blatter/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/endorsements-june-30/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/endorsements-june-30/data/endorsements-june-30.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/endorsements-june-30/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/fandango/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/fandango/data/fandango_score_comparison.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/fandango/data/fandango_scrape.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/fandango/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/fifa/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/fifa/data/fifa_countries_audience.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/fifa/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/flying-etiquette-survey/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/flying-etiquette-survey/data/flying-etiquette.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/flying-etiquette-survey/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/food-world-cup/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/food-world-cup/data/food-world-cup-data.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/food-world-cup/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/forecast-methodology/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/forecast-methodology/data/historical-senate-predictions.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/forecast-methodology/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/goose/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/goose/data/goose_rawdata.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/goose/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/hate-crimes/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/hate-crimes/data/hate_crimes.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/hate-crimes/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/hip-hop-candidate-lyrics/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/hip-hop-candidate-lyrics/data/genius_hip_hop_lyrics.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/hip-hop-candidate-lyrics/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/historical-ncaa-forecasts/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/historical-ncaa-forecasts/data/historical-538-ncaa-tournament-model-results.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/historical-ncaa-forecasts/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/inconvenient-sequel/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/inconvenient-sequel/data/ratings.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/inconvenient-sequel/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/infrastructure-jobs/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/infrastructure-jobs/data/payroll-states.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/infrastructure-jobs/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/librarians/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/librarians/data/librarians-by-msa.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/librarians/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/love-actually/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/love-actually/data/love_actually_adjacencies.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/love-actually/data/love_actually_appearances.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/love-actually/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/mad-men/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/mad-men/data/performer-scores.csv
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https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/mad-men/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/march-madness-predictions-2018/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/march-madness-predictions-2018/data/fivethirtyeight_ncaa_forecasts.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/march-madness-predictions-2018/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/march-madness-predictions/README.md
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/march-madness-predictions/data/bracket-00.csv
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https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140628-094211.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140628-185951.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140628-215357.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140629-091813.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140629-180901.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140629-225940.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140630-095330.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140630-175910.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140630-223910.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140701-092605.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140701-184332.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140701-224103.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140702-094046.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140703-094053.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140704-180211.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140704-220110.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140705-093245.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140705-225331.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140706-091537.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140707-100337.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140708-092538.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140708-215459.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140709-095047.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140709-231617.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140710-164509.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140711-102258.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/data/wc-20140713-113900.csv
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datasets/world-cup-predictions/datapackage.json
https://datahub.io/core/five-thirty-eight-datasets/_r/-/generate_links.py
https://datahub.io/core/five-thirty-eight-datasets/_r/-/generated_links.txt
└ main.py
https://datahub.io/core/five-thirty-eight-datasets/_r/-/main.py
Key Files
Start with these files — they give you everything you need to understand and access the dataset.
datapackage.json— metadata & schema
https://datahub.io/core/five-thirty-eight-datasets/_r/-/datapackage.json
README.md— documentation
https://datahub.io/core/five-thirty-eight-datasets/_r/-/README.md
Typical Usage
- 1. Fetch datapackage.json to inspect schema and resources
- 2. Download data resources listed in datapackage.json
- 3. Read README.md for full context
Data Previews
fandango_score_comparison
Loading data...
Schema
| name | type | format |
|---|---|---|
| film | string | default |
| rottentomatoes | integer | default |
| rottentomatoes_user | integer | default |
| metacritic | integer | default |
| metacritic_user | number | default |
| imdb | number | default |
| fandango_stars | number | default |
| fandango_ratingvalue | number | default |
| rt_norm | number | default |
| rt_user_norm | number | default |
| metacritic_norm | number | default |
| metacritic_user_nom | number | default |
| imdb_norm | number | default |
| rt_norm_round | number | default |
| rt_user_norm_round | number | default |
| metacritic_norm_round | number | default |
| metacritic_user_norm_round | integer | default |
| imdb_norm_round | integer | default |
| metacritic_user_vote_count | integer | default |
| imdb_user_vote_count | integer | default |
| fandango_votes | integer | default |
| fandango_difference | number | default |
fandango_scrape
Loading data...
Schema
| name | type | format |
|---|---|---|
| film | string | default |
| stars | number | default |
| rating | number | default |
| votes | integer | default |
Data Files
| File | Description | Size | Last modified | Download |
|---|---|---|---|---|
fandango_score_comparison | 15.1 kB | 29 days ago | fandango_score_comparison | |
fandango_scrape | 17.4 kB | 29 days ago | fandango_scrape |
| Files | Size | Format | Created | Updated | License | Source |
|---|---|---|---|---|---|---|
| 2 | 32.6 kB | csv | 4 days ago | FiveThirtyEight - Fandango |
Fandango
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. |
This dataset was scraped from FiveThirtyEight - fandango