Dataset: Spotify Music Dataset

About this Dataset

Spotify Music Dataset

The dataset is collated from Spotify's API using two separate python scripts to extract popular and non-popular songs and their associated audio and descriptive features. Descriptive features of a song include information about the song such as the artist name, album name and release date. Audio features include key, valence , danceability and energy which are results of spotify's audio analysis. The combined features used in the experimentation phase of this project include:

Audio Features

Feature	Description
Energy	A measure of intensity and activity. Typically, energetic tracks feel fast, loud, and noisy.
Tempo	The speed of a track, measured in beats per minute (BPM).
Danceability	A score describing how suitable a track is for dancing based on tempo, rhythm stability, beat strength and overall regularity.
Loudness	The overall loudness of a track in decibels (dB). Higher values indicate louder tracks overall.
Liveness	The likelihood of a track being performed live. Higher values suggest more audience presence.
Valence	The overall musical positiveness(emotion) of a track. High valence sounds happy; low valence sounds sad or angry.
Speechiness	Measures the presence of spoken words.
Instrumentalness	The likelihood a track contains no vocals. Values closer to 1.0 suggest solely instrumental tracks.
Mode	Indicates the modality of the track.
Key	The musical key, represented as an integer from 0 to 11, mapping to standard Pitch class notation.
Duration_ms	The length of the track in milliseconds.
Acousticness	A confidence measure of whether a track is acoustic(1) or not(0).

Descriptive Features

Feature	Description
Track Name	The name of the track.
Track Artist	The artist(s) performing the track.
Track Album Name	The album in which the track is featured.
Track Album Release Date	The release date of the album containing the track.
Track ID	A unique identifier assigned to the track by Spotify.
Track Album ID	A unique identifier for the album.
Playlist Name	The name of the playlist where the track is included.
Playlist Genre	The main genre associated with the playlist (e.g., pop, rock, classical).
Playlist Subgenre	A more specific subgenre tied to the playlist (e.g., indie pop, punk rock).
Playlist ID	A unique identifier for the playlist.
Track Popularity	A score (0–100) which is calculated based on total number of streams in relation to other songs.

Tables

High Popularity Spotify Data

@kaggle.solomonameh_spotify_music_dataset.high_popularity_spotify_data

383.84 KB
1686 rows
29 columns


CREATE TABLE high_popularity_spotify_data (
  "energy" DOUBLE,
  "tempo" DOUBLE,
  "danceability" DOUBLE,
  "playlist_genre" VARCHAR,
  "loudness" DOUBLE,
  "liveness" DOUBLE,
  "valence" DOUBLE,
  "track_artist" VARCHAR,
  "time_signature" BIGINT,
  "speechiness" DOUBLE,
  "track_popularity" BIGINT,
  "track_href" VARCHAR,
  "uri" VARCHAR,
  "track_album_name" VARCHAR,
  "playlist_name" VARCHAR,
  "analysis_url" VARCHAR,
  "track_id" VARCHAR,
  "track_name" VARCHAR,
  "track_album_release_date" TIMESTAMP,
  "instrumentalness" DOUBLE,
  "track_album_id" VARCHAR,
  "mode" BIGINT,
  "key" BIGINT,
  "duration_ms" BIGINT,
  "acousticness" DOUBLE,
  "id" VARCHAR,
  "playlist_subgenre" VARCHAR,
  "type" VARCHAR,
  "playlist_id" VARCHAR
);

Low Popularity Spotify Data

@kaggle.solomonameh_spotify_music_dataset.low_popularity_spotify_data

778.72 KB
3145 rows
29 columns


CREATE TABLE low_popularity_spotify_data (
  "time_signature" DOUBLE,
  "track_popularity" BIGINT,
  "speechiness" DOUBLE,
  "danceability" DOUBLE,
  "playlist_name" VARCHAR,
  "track_artist" VARCHAR,
  "duration_ms" DOUBLE,
  "energy" DOUBLE,
  "playlist_genre" VARCHAR,
  "playlist_subgenre" VARCHAR,
  "track_href" VARCHAR,
  "track_name" VARCHAR,
  "mode" DOUBLE,
  "uri" VARCHAR,
  "type" VARCHAR,
  "track_album_release_date" TIMESTAMP,
  "analysis_url" VARCHAR,
  "id" VARCHAR,
  "instrumentalness" DOUBLE,
  "track_album_id" VARCHAR,
  "playlist_id" VARCHAR,
  "track_id" VARCHAR,
  "valence" DOUBLE,
  "key" DOUBLE,
  "tempo" DOUBLE,
  "loudness" DOUBLE,
  "acousticness" DOUBLE,
  "liveness" DOUBLE,
  "track_album_name" VARCHAR
);