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Taylor Swift Spotify Discography Analysis

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Taylor

Swift

Spotify

Music

Audio

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Taylor Swift Spotify Discography Analysis Dataset on Opendatabay data marketplace

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About

Contains unaltered Spotify data for the U.S. singer-songwriter, Taylor Swift, as of 24 November 2024. The data, obtained using the spotifyr package in R, includes detailed audio features and metadata for her albums, singles, and compilations. This information is valuable for analysing musical trends, track characteristics, and the evolution of her discography over time.

Columns

  • artist_name: The name of the artist, consistently 'Taylor Swift'.
  • artist_id: The unique Spotify identifier for the artist.
  • album_id: The unique Spotify identifier for the album.
  • album_type: The type of album, consistently 'album'.
  • album_release_date: The full release date of the album.
  • album_release_year: The release year of the album.
  • album_release_date_precision: The precision of the release date (e.g., 'day').
  • danceability: A measure from 0.0 to 1.0 of how suitable a track is for dancing.
  • energy: A measure from 0.0 to 1.0 representing perceptual intensity and activity.
  • key: The estimated key of the track using pitch class notation (e.g., 0 = C, 1 = C♯/D♭).
  • loudness: The overall loudness of a track in decibels (dB).
  • mode: Indicates the modality (major or minor) of a track.
  • speechiness: Detects the presence of spoken words in a track.
  • acousticness: A confidence measure from 0.0 to 1.0 of whether the track is acoustic.
  • instrumentalness: Predicts whether a track contains no vocals.
  • liveness: Detects the presence of an audience in the recording.
  • valence: A measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track.
  • tempo: The overall estimated tempo of a track in beats per minute (BPM).
  • track_id: The unique Spotify identifier for the track.
  • analysis_url: A URL to access the full audio analysis of a track.
  • time_signature: An estimated overall time signature of a track.
  • disc_number: The disc number of the track on the album.
  • duration_ms: The duration of the track in milliseconds.
  • explicit: A boolean value indicating whether the track has explicit lyrics.
  • track_href: A link to the Web API endpoint providing full details of the track.
  • is_local: Indicates whether the track is a local file.
  • track_name: The name of the track.
  • track_preview_url: A URL to a 30-second preview of the track.
  • track_number: The position of the track on the album.
  • type: The object type, consistently 'track'.
  • track_uri: The Spotify URI for the track.
  • external_urls.spotify: The Spotify URL for the track.
  • album_name: The name of the album.
  • key_name: The name of the track's key (e.g., 'G').
  • mode_name: The name of the track's mode ('major' or 'minor').
  • key_mode: A combination of the key and mode (e.g., 'G major').

Distribution

The data is provided in a single CSV file named Taylor Swift Spotify Data 07-23.csv, with a size of 247.26 kB. It contains 476 records and 36 columns.

Usage

Ideal applications include analysing the evolution of Taylor Swift's musical style, comparing audio features across different albums, and building recommendation models for similar artists or songs. It can also be used for sentiment analysis of her discography based on audio features like valence and energy.

Coverage

The dataset covers Taylor Swift's entire Spotify discography, including albums, singles, and compilations released between 24 October 2006 and 7 July 2023. The data is specific to the U.S. singer-songwriter and does not have a specific geographical or demographic scope beyond her music catalogue.

License

CC0: Public Domain

Who Can Use It

  • Data Analysts: Can perform exploratory data analysis to uncover trends in musical attributes over time.
  • Musicologists: Can conduct academic research on the sonic characteristics and structure of Taylor Swift's music.
  • Machine Learning Engineers: Can use the audio features to train models for music classification or recommendation systems.
  • Fans and Enthusiasts: Can explore the data to create visualisations and gain deeper insights into their favourite artist's work.

Dataset Name Suggestions

  • Taylor Swift Spotify Discography Analysis
  • Complete Taylor Swift Audio Features
  • Taylor Swift's Musical Evolution on Spotify
  • Spotify Audio Metrics for Taylor Swift

Attributes

Listing Stats

VIEWS

1

DOWNLOADS

1

LISTED

24/09/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in ZIP Format