best_picture | R Documentation |
Historical data on the Best Picture nominees and winners from 1934 through 2014.
data(best_picture)
A data.frame
object with 484 observations and 19 columns.
The columns are defined as follows:
year
The integer year of the nomination. These span from 1934 through 2014. Note that the number of films nominated per year varies from 5 to 12.
film
The title of the film.
winner
A logical for whether the film won the Oscar for Best Picture. There is exactly one winning film per year.
nominated_for_Writing
A logical indicating whether the film was also nominated for a Writing award that year.
nominated_for_BestDirector
A logical indicating whether the film was also nominated for Best Director award that year.
nominated_for_BestActress
A logical indicating whether the film was also nominated for at least one Best Actress award that year.
nominated_for_BestActor
A logical indicating whether the film was also nominated for at least one Best Actor award that year.
nominated_for_BestFilmEditing
A logical indicating whether the film was also nominated for at least one Best Film Editing award that year.
Adventure
A double computed as a 0/1 indicator of whether “Adventure” was one of the genres tagged for the film in IMDb, divided by the total count of genres tagged for the film.
Biography
A double computed as a 0/1 indicator of whether “Biography” was one of the genres tagged for the film in IMDb, divided by the total count of genres tagged for the film.
Comedy
A double computed as a 0/1 indicator of whether “Comedy” was one of the genres tagged for the film in IMDb, divided by the total count of genres tagged for the film.
Crime
A double computed as a 0/1 indicator of whether “Crime” was one of the genres tagged for the film in IMDb, divided by the total count of genres tagged for the film.
Drama
A double computed as a 0/1 indicator of whether “Drama” was one of the genres tagged for the film in IMDb, divided by the total count of genres tagged for the film.
History
A double computed as a 0/1 indicator of whether “History” was one of the genres tagged for the film in IMDb, divided by the total count of genres tagged for the film.
Musical
A double computed as a 0/1 indicator of whether “Musical” was one of the genres tagged for the film in IMDb, divided by the total count of genres tagged for the film.
Romance
A double computed as a 0/1 indicator of whether “Romance” was one of the genres tagged for the film in IMDb, divided by the total count of genres tagged for the film.
Thriller
A double computed as a 0/1 indicator of whether “Thriller” was one of the genres tagged for the film in IMDb, divided by the total count of genres tagged for the film.
War
A double computed as a 0/1 indicator of whether “War” was one of the genres tagged for the film in IMDb, divided by the total count of genres tagged for the film.
Other
A double computed as 1 minus the sum of the other genre indicators. Effectively this is is the sum of indicators for “Mystery”, “Family”, “Fantasy”, “Action”, “Western”, “Music”, “Sport”, “Sci Fi”, “Film-Noir”, “Animation”, and “Horror” divided by the total count of genres tagged for the film.
“Oscar” is a copyright property of the Academy of Motion Picture Arts and Sciences. IMDb is owned by Amazon.
Steven E. Pav shabbychef@gmail.com
Awards data were sourced from Wikipedia, while genre data were sourced from IMDb. Any errors in transcription are the fault of the package author.
library(dplyr)
data(best_picture)
best_picture %>%
group_by(nominated_for_BestDirector) %>%
summarize(propwin=mean(winner)) %>%
ungroup()
best_picture %>%
group_by(nominated_for_BestActor) %>%
summarize(propwin=mean(winner)) %>%
ungroup()
# hmmmm.
best_picture %>%
group_by(nominated_for_BestActress) %>%
summarize(propwin=mean(winner)) %>%
ungroup()
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