Spotify Top 2000 Tracks with Audio Features from 1956 to 2019

Audio feature statistics for approximately 2000 top tracks on Spotify. The data includes about 15 columns describing track qualities such as danceability, energy, and valence, for songs released between 1956 and 2019. It was scraped from the Spotify API via the PlaylistMachinery website.

Use Cases

• Analyze genre popularity trends from the 1950s to 2019 based on the 'Top Genre' and 'Year' columns.
• Model track popularity based on audio features like danceability, energy, and valence.
• Investigate tempo trends over time using the 'Beats per Minute (BPM)' feature.
• Compare the prevalence of acoustic music across decades using the 'Acoustic' feature.

Strengths

• Includes approximately 2000 tracks, providing a substantial sample for analysis.
• Covers a long temporal range from 1956 to 2019, enabling historical trend analysis.
• Contains about 15 distinct audio features per track, including danceability, energy, and valence.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Scraped from the Spotify playlist 'Top 2000s' on the PlaylistMachinery (plamere) website.

Collection Method

Data was extracted using Selenium with Python from the Spotify API via http://sortyourmusic.playlistmachinery.com/.

Time Range

1956 to 2019

Freshness

Last updated date is unknown.

Geography

Global (Spotify platform)