| spotify {bayesrules} | R Documentation |
Spotify Song Data
Description
A sub-sample of the Spotify song data originally collected by Kaylin Pavlik (kaylinquest) and distributed through the R for Data Science TidyTuesday project.
Usage
spotify
Format
A data frame with 350 songs (or tracks) and 23 variables:
- track_id
unique song identifier
- title
song name
- artist
song artist
- popularity
song popularity from 0 (low) to 100 (high)
- album_id
id of the album on which the song appears
- album_name
name of the album on which the song appears
- album_release_date
when the album was released
- playlist_name
Spotify playlist on which the song appears
- playlist_id
unique playlist identifier
- genre
genre of the playlist
- subgenre
subgenre of the playlist
- danceability
a score from 0 (not danceable) to 100 (danceable) based on features such as tempo, rhythm, etc.
- energy
a score from 0 (low energy) to 100 (high energy) based on features such as loudness, timbre, entropy, etc.
- key
song key
- loudness
song loudness (dB)
- mode
0 (minor key) or 1 (major key)
- speechiness
a score from 0 (non-speechy tracks) to 100 (speechy tracks)
- acousticness
a score from 0 (not acoustic) to 100 (very acoustic)
- instrumentalness
a score from 0 (not instrumental) to 100 (very instrumental)
- liveness
a score from 0 (no live audience presence on the song) to 100 (strong live audience presence on the song)
- valence
a score from 0 (the song is more negative, sad, angry) to 100 (the song is more positive, happy, euphoric)
- tempo
song tempo (beats per minute)
- duration_ms
song duration (ms)
Source
https://github.com/rfordatascience/tidytuesday/blob/master/data/2020/2020-01-21/spotify_songs.csv/.