Dark Mode
Spotify User Playback Activity
News & Media Articles
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
The repository contains the detailed listening history of a Spotify user. It captures information for every track played, including track metadata, playback actions, and user interaction over several years. This data offers valuable insights into evolving user behaviour, musical track preferences, and playback session dynamics, reflecting patterns in music consumption.
Columns
- spotify_track_uri: A unique identifier assigned to each track by Spotify.
- ts: The exact timestamp indicating when the track playback began.
- platform: The device or application used for playback, such as a web player.
- ms_played: The duration, measured in milliseconds, that the track was played before it was stopped or skipped.
- track_name: The title of the song.
- artist_name: The performer or band responsible for the track.
- album_name: The album from which the track originates.
- reason_start: Indicates the trigger for playback (e.g., user click, autoplay).
- reason_end: Describes how the playback session concluded (e.g., track completion, user skip).
- shuffle: A boolean flag showing whether shuffle mode was active during playback.
- skipped: A boolean flag indicating if the track was skipped or played fully.
Distribution
The data follows a highly structured schema that includes eleven distinct fields, with 100% data validity recorded across all features based on the data dictionary. The information is structured as event data suitable for time series analysis. Specific record counts are not currently available, but the structure is suitable for file formats like CSV. Updates to this data are expected on a monthly basis.
Usage
This data is ideal for analysing trends in digital music consumption and understanding user habits. It is suitable for developing machine learning models aimed at predicting user track preferences or building recommendation systems. It can also be applied to detailed time series analysis of playback patterns, offering rich context for computer science and data visualization projects.
Coverage
The data chronicles a single user's listening history spanning multiple years. While the specifics are tied to one user's behaviour, the tracks themselves often reflect the World's Most Popular Songs and global music trends. The scope focuses on playback events rather than detailed demographic information.
License
CC0: Public Domain
Who Can Use It
Data scientists and machine learning engineers interested in building sophisticated recommendation engines or studying digital behaviour. Academic researchers focusing on user psychology, music consumption, and platform interaction. Data visualization specialists seeking robust time-series data related to arts and entertainment.
Dataset Name Suggestions
- Spotify User Playback Activity
- Detailed Spotify Listening Events
- Digital Music Session Dynamics
- User Track Preferences Log
Attributes
Original Data Source: Spotify User Playback Activity
QUALITY