Spotify 52-Track Sample Dataset with 'popular or not' shuffled

This dataset contains a sample of 52 tracks from Spotify, focusing on two genres: deep-house and metal. It includes metadata about the tracks, the artists, and a shuffled indicator of whether each track is considered popular.

Usage

spotify_52_shuffled

Format

A data frame with 52 rows and 6 columns:

track_id

character. Spotify ID for the track. See: https://developer.spotify.com/documentation/web-api/

track_genre

character. Genre of the track, either "deep-house" or "metal".

artists

character. Names of the artists associated with the track.

track_name

character. Name of the track.

popularity

numeric. Popularity score of the track (0-100). See: https://developer.spotify.com/documentation/web-api/reference/#/operations/get-track

popular_or_not

character. A shuffled version of the column of the same name in the spotify_52_original data frame.

Source

https://developer.spotify.com/documentation/web-api/

Examples

data(spotify_52_shuffled)
head(spotify_52_shuffled)
#> # A tibble: 6 × 6
#>   track_id              track_genre artists track_name popularity popular_or_not
#>   <chr>                 <chr>       <chr>   <chr>           <dbl> <chr>         
#> 1 3fvsxmytTns1ApIWBqfA… deep-house  Jess B… Temptatio…         63 popular       
#> 2 6Nd6ntkzr4t8o1FKPGOS… metal       Whites… Here I Go…         69 not popular   
#> 3 7MIKwg3dDCWhxMVjMvqF… metal       Blind … No Rain             1 popular       
#> 4 1fQaoh3imrMunWVZh5kf… metal       Avenge… Shepherd …         70 not popular   
#> 5 2O0vM6F7VMXf66Y5qUuW… deep-house  Nora V… I Wanna D…         56 popular       
#> 6 7HjNOz8Y7H7uSySXuHNg… metal       Breaki… Ashes of …         61 not popular