track_information: Track Information

Description Usage Format Source

Description

A dataset of 5387 observations and 27 variables containing information relating to every track having reached Spotify's top 200 tracks (U.S.) between January 1, 2017 and December 4, 2019. Includes information retrieved from Spotify relating to the song's audio features.

Usage

1

Format

A data frame with 150 rows and 5 variables:

Track

track name

Artist

artist's name

track_ID

Spotify Track ID

artist_ID

Spotify Artist ID

album_release_date

album release date

album_type

album type, e.g., album, single, compilation, etc

popularity

track popularity, computed by Spotify, ranging from 0 to 100

track_number

track listing in the album

disc_number

disc number

explicit

dummy, TRUE if the track is explicity, FALSE otherwise

number_artists

number of artists featured on the track

available_markets_number

number of "markets" (countries) the track is available in

available_markets_all

names of all the "markets" the track is available in

danceability

audio feature computed by Spotify, described as: "how suitable a track is for dancing based on a combination of musical elements including tempo, rhythm stability, beat strength, and overall regularity", ranging from 0 to 1

energy

audio feature computed by Spotify, described as: "a measure from 0.0 to 1.0 ... of intensity and activity."

key

audio feature computed by Spotify: " The estimated overall key of the track. Integers map to pitches using standard Pitch Class notation ."

loudness

audio feature computed by Spotify, "the overall loudness of a track in decibels (dB)", "values typically range between -60 and 0 db."

mode

audio feature computed by Spotify, described as: "the type of scale from which its melodic content is derived. Major is represented by 1 and minor is 0."

speechiness

audio feature computed by Spotify, "detects the presence of spoken words in a track. The more exclusively speech-like the recording (e.g. talk show, audio book, poetry), the closer to 1.0 the attribute value"

acousticness

audio feature computed by Spotify, described as: "A confidence measure from 0.0 to 1.0 of whether the track is acoustic. 1.0 represents high confidence the track is acoustic."

instrumentalness

audio feature computed by Spotify, described as: "Predicts whether a track contains no vocals... The closer the instrumentalness value is to 1.0, the greater likelihood the track contains no vocal content."

liveness

audio feature computed by Spotify, "Detects the presence of an audience in the recording... A value above 0.8 provides strong likelihood that the track is live."

valence

audio feature computed by Spotify, described as: "A measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track."

tempo

audio feature computed by Spotify, described as: "the overall estimated tempo of a track in beats per minute (BPM)"

id

Spotify Track ID

duration_ms

audio feature computed by Spotify, described as:

time_signature

audio feature computed by Spotify: "An estimated overall time signature of a track. The time signature (meter) is a notational convention to specify how many beats are in each bar (or measure)."

...

Source

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


IAjimi/idk documentation built on Dec. 14, 2019, 7:23 p.m.