Data
Bechdel-Cast-Data

Bechdel-Cast-Data

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Elif Ceren Gok
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Context "In the Bechdel Cast, the question asked, do movies have women in them? Are all their discussions involve boyfriends or husbands or do they have individualism? The Patriarchy's vast. Let's start changing it with the Bechdel Cast." This dataset contains the Episode information for the comedy podcast, "The Bechdel Cast", it is a feminist podcast that examines movies through a feminist lens. One of the ways the co-hosts examine movies is by seeing if it passes the Bechdel Test. They also rate each movie at the end with a "Nipple" scale to judge how well the movie represents women. Content The dataset contains pertinent information such as the movie name, the weekly guest's name, the date it aired, the genre of the movie, whether it passed the Bechdel test, and the nipple rating for each host and guest, as well as the average rating for the movie that they discussed that episode. Acknowledgements Thank you, Caitlin Durante and Jamie Loftus for hosting each week, and Wikipedia for having the episode information.

14 features

episodenumeric193 unique values
0 missing
date_airedstring193 unique values
0 missing
titlestring194 unique values
0 missing
guest_namestring166 unique values
0 missing
bechdel_teststring4 unique values
0 missing
Nipple_Rating_Durante_Loftus_Gueststring140 unique values
0 missing
total_nipplesstring64 unique values
2 missing
durantenumeric15 unique values
1 missing
loftusnumeric15 unique values
0 missing
guestnumeric20 unique values
17 missing
main_genrestring12 unique values
0 missing
genre_string103 unique values
0 missing
average_ratingnumeric48 unique values
0 missing
host_averagenumeric26 unique values
0 missing

19 properties

194
Number of instances (rows) of the dataset.
14
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
20
Number of missing values in the dataset.
17
Number of instances with at least one value missing.
6
Number of numeric attributes.
0
Number of nominal attributes.
0.07
Number of attributes divided by the number of instances.
42.86
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
8.76
Percentage of instances having missing values.
Average class difference between consecutive instances.
0.74
Percentage of missing values.

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