A data set with the different genre categories for each Pixar film.
Format
A data frame with 204 rows and 3 variables:
- film
name of film
- category
classification of genre as either "Genre" or "Subgenre"
- value
value for genre or subgenre film is categorized as
Details
This data set is put into a tidy format, where each row is a film-genre data point. Each film can have multiple genres. For example, Toy Story is categorized into three genres. Moreover, Toy Story has five subgenres.
Examples
genres
#> # A tibble: 228 × 3
#> film category value
#> <chr> <chr> <chr>
#> 1 Toy Story Genre Adventure
#> 2 Toy Story Genre Animation
#> 3 Toy Story Genre Comedy
#> 4 Toy Story Subgenre Buddy Comedy
#> 5 Toy Story Subgenre Computer Animation
#> 6 Toy Story Subgenre Fantasy
#> 7 Toy Story Subgenre Supernatural Fantasy
#> 8 Toy Story Subgenre Urban Adventure
#> 9 A Bug's Life Genre Adventure
#> 10 A Bug's Life Genre Animation
#> # ℹ 218 more rows
unique(genres$value)
#> [1] "Adventure" "Animation"
#> [3] "Comedy" "Buddy Comedy"
#> [5] "Computer Animation" "Fantasy"
#> [7] "Supernatural Fantasy" "Urban Adventure"
#> [9] "Animal Adventure" "Quest"
#> [11] "Sea Adventure" "Action"
#> [13] "Superhero" "Motorsport"
#> [15] "Sport" "Family"
#> [17] "Adventure Epic" "Artificial Intelligence"
#> [19] "Dystopian Sci-Fi" "Sci-Fi"
#> [21] "Space Sci-Fi" "Coming-of-Age"
#> [23] "Globetrotting Adventure" "Car Action"
#> [25] "Crime" "Spy"
#> [27] "Fairy Tale" "Sword & Sorcery"
#> [29] "Teen Adventure" "Dinosaur Adventure"
#> [31] "Drama" "Music"
#> [33] "Mystery" "Road Trip"
#> [35] "Fantasy Epic" "Teen Comedy"
#> [37] "Time Travel" "Romance"
#> [39] "Teen Drama" "Alien Invasion"
#> [41] "Body Swap Comedy" "High-Concept Comedy"