Fiona Apple Musical Analysis Data

Columns

• track_name: The title of the song (Text).
• album_name: The name of the album the song appears on (Text).
• release_date: The release date of the song formatted as YYYY-MM-DD (Date).
• duration_ms: The duration of the song in milliseconds (Integer).
• key: The musical key of the song, using integers 0-11 where 0 = C and 11 = B (Integer).
• mode: The modality of the song, where 1 indicates major and 0 indicates minor (Integer).
• danceability: A score from 0.0 to 1.0 indicating how suitable a track is for dancing (Float).
• energy: A measure of intensity and activity ranging from 0.0 to 1.0 (Float).
• loudness: The average loudness of the track in decibels (dB) (Float).
• speechiness: A value detecting the presence of spoken words; higher values indicate more speech-like qualities (Float).
• acousticness: A confidence measure from 0.0 to 1.0 of whether the track is acoustic (Float).
• instrumentalness: Predicts the absence of vocals; values closer to 1.0 indicate instrumental tracks (Float).
• liveness: Detects the presence of an audience; values above 0.8 suggest a live performance (Float).
• valence: A measure from 0.0 to 1.0 describing the musical positivity (sad to happy) conveyed by the track (Float).
• tempo: The speed of the track in beats per minute (BPM) (Float).

Distribution

• Format: .csv (fa_songs.csv)
• Size: 8.68 kB
• Structure: 15 columns, 63 unique rows (tracks).

Usage

• Musical Style Evolution: Analyse how audio features like energy and valence have shifted from 1996 to 2021.
• Mood and Genre Analysis: Categorise songs based on danceability, acousticness, and instrumentalness to understand genre blending.
• Data Visualisation Projects: Create visual timelines or scatter plots representing the distribution of keys and modes across different albums.
• Audio Feature Correlation: Study correlations between loudness, tempo, and energy to identify production patterns.

Coverage

• Time Range: Covers songs released between 23 July 1996 and 29 July 2021.
• Content: Includes 50+ songs from major albums including Tidal, When The Pawn..., Extraordinary Machine, The Idler Wheel..., and Fetch the Bolt Cutters, as well as singles.
• Scope: All commercially available tracks by Fiona Apple sourced from Spotify.

License

Who Can Use It

• Musicologists: For quantitative analysis of composition and song structure.
• Data Scientists: For practicing clustering, classification, or regression techniques on audio data.
• Music Fans: For exploring the hidden statistics behind their favourite tracks.
• Developers: For building music recommendation algorithms or exploration apps.

Dataset Name Suggestions

• Fiona Apple Audio Features Collection
• Fiona Apple Discography Metrics
• Spotify Audio Attributes: Fiona Apple
• Fiona Apple Musical Analysis Data

Attributes