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Spotify Global Chart History
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About
This dataset is a detailed collection of weekly Spotify track chart data, spanning from April 2013 to April 2023. It stands apart from other similar datasets by including crucial information about the artists, such as their names and genres. Additionally, the dataset captures instances where a track appeared multiple times in the Spotify charts, providing its respective metadata, including chart position and number of streams, for each appearance. It is a valuable resource for analysing music trends and artist performance over time.
Columns
- date: The specific date this track featured in a country's charts.
- country: The country code indicating the nation for which this chart entry applies. There are 77 unique countries represented.
- position: The track's rank within the country's chart. Positions range from 1 to 358.
- streams: The cumulative number of streams the track had until the specified 'date'. This metric ranges from 0 to over 115 million.
- track_id: The unique identifier assigned to the track by Spotify. There are 110,292 unique track IDs.
- artists: A list of all artists credited for creating this track. There are nearly 50,000 unique artist combinations.
- artist_genres: The genres associated with the artists featured on this track. This column has over 23,000 unique genre combinations.
- duration: The total length of the track, expressed in milliseconds. Durations can be up to 9.32 million milliseconds.
- explicit: A boolean indicator specifying whether or not the track contains explicit content, according to Spotify's classification. Approximately 26% of tracks are marked as explicit.
- name: The title of the track. There are over 95,900 unique track names.
Distribution
The dataset is provided in a CSV (Comma Separated Values) format. The file size is 892.69 MB. It contains approximately 5.43 million records or rows.
Usage
This dataset is ideal for:
- Analysing music popularity trends and charting patterns across different countries and time periods.
- Investigating the performance of artists and genres on Spotify charts.
- Exploring the impact of explicit content on track chart performance.
- Developing predictive models for future chart success.
- Researching market dynamics within the music industry.
Coverage
The dataset spans a time range from 28th April 2013 to 6th April 2023. It covers 77 unique countries, indicating a broad geographic scope for chart data. The data includes information on artists and their genres.
License
Attribution 4.0 International (CC BY 4.0) License.
Who Can Use It
- Data scientists and analysts for building predictive models and trend analysis.
- Music industry professionals for market research, artist development, and strategic planning.
- Academic researchers studying cultural trends, digital music consumption, or media analytics.
- Developers creating applications that require historical music chart data.
Dataset Name Suggestions
- Spotify Global Chart History
- Decade of Spotify Charts
- Spotify Track Trends
- Artist & Chart Performance Data
- Global Music Charts by Spotify
Attributes
Original Data Source: Spotify Global Chart History
QUALITY