fandango: Be Suspicious Of Online Movie Ratings, Especially Fandango's
In rudeboybert/fivethirtyeight: Data and Code Behind the Stories and Interactives at 'FiveThirtyEight'
fandango R Documentation
Be Suspicious Of Online Movie Ratings, Especially Fandango's
Description
The raw data behind the story
"Be Suspicious Of Online Movie Ratings, Especially Fandango's"
https://fivethirtyeight.com/features/fandango-movies-ratings/.
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.
Usage
fandango
Format
A data frame with 146 rows representing movies and 23 variables:
- film
The film in question
- year
Year of film
- 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
Source
The data from Fandango was pulled on Aug. 24, 2015.
rudeboybert/fivethirtyeight documentation built on Jan. 1, 2023, 10:17 p.m.
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| fandango | R Documentation |
Be Suspicious Of Online Movie Ratings, Especially Fandango's
Description
The raw data behind the story "Be Suspicious Of Online Movie Ratings, Especially Fandango's" https://fivethirtyeight.com/features/fandango-movies-ratings/. 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.
Usage
fandango
Format
A data frame with 146 rows representing movies and 23 variables:
- film
The film in question
- year
Year of film
- 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
Source
The data from Fandango was pulled on Aug. 24, 2015.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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