bechdel: Bechdel test
In uc-cfss/rcfss: R for Computing for Information Science course
bechdel R Documentation
Bechdel test
Description
A dataset containing Bechdel test scores for a sample of films from 1970-2013.
Usage
bechdel
Format
A data frame with 1394 rows and 10 variables:
- year
Year the film was released.
- title
Film title.
- test
Whether the film passed or failed the test. Pass requires the film
Have at least two named women in it
Who talk to each other
About something other than a man
- budget_2013
Film's budget in millions of dollars (inflation-adjusted to 2013).
- domgross_2013
Domestic gross revenue in millions of dollars (inflation-adjusted to 2013).
- intgross_2013
International gross revenue in millions of dollars (inflation-adjusted to 2013).
- rated
MPAA film rating.
- metascore
Metacritic film score (0-100).
- imdb_rating
IMDB film rating (0-10).
- genre
Primary genre of the film.
Details
The dataset has been lightly cleaned for pedagogical purposes and can
be used to demonstrate machine learning using tidymodels.
Source
uc-cfss/rcfss documentation built on Jan. 28, 2024, 5:01 a.m.
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| bechdel | R Documentation |
Bechdel test
Description
A dataset containing Bechdel test scores for a sample of films from 1970-2013.
Usage
bechdel
Format
A data frame with 1394 rows and 10 variables:
- year
Year the film was released.
- title
Film title.
- test
Whether the film passed or failed the test. Pass requires the film
Have at least two named women in it
Who talk to each other
About something other than a man
- budget_2013
Film's budget in millions of dollars (inflation-adjusted to 2013).
- domgross_2013
Domestic gross revenue in millions of dollars (inflation-adjusted to 2013).
- intgross_2013
International gross revenue in millions of dollars (inflation-adjusted to 2013).
- rated
MPAA film rating.
- metascore
Metacritic film score (0-100).
- imdb_rating
IMDB film rating (0-10).
- genre
Primary genre of the film.
Details
The dataset has been lightly cleaned for pedagogical purposes and can
be used to demonstrate machine learning using tidymodels.
Source
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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