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Top Spotify Songs Data

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Music

Spotify

Streams

Songs

Artists

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Top Spotify Songs Data Dataset on Opendatabay data marketplace

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About

This dataset compiles Spotify's top-streamed songs, offering insights into the music streaming landscape. It details the performance metrics of various artists and their tracks, derived from a web-scraped accumulation of streaming data. The dataset's purpose is to identify the most streamed artists and songs on one of the world's largest music streaming platforms, providing a foundation for music trend analysis and industry understanding.

Columns

  • Position: Represents the Spotify ranking of the song.
  • Artist Name: The name of the performing artist or band. Approximately 2% of entries are for 'Drake' and 2% for 'Future', with 96% categorised as 'Other'. There are 1612 unique artists.
  • Song Name: The name of the individual song. There are 9992 unique song titles with 4 missing values.
  • Days: Indicates the number of days since the song's release, with values ranging from 1 to 2547 days. The average is approximately 53.4 days.
  • Top 10 (xTimes): Shows the number of times the song has entered the Spotify Top 10. Values range from 0 to 302 times.
  • Peak Position: The highest position the song attained on the Spotify charts, ranging from 1 to 200. The average peak position is around 83.1.
  • Peak Position (xTimes): The number of times the song achieved its peak position. Approximately 96% of entries show 0 times, implying most songs hit their peak position only once.
  • Peak Streams: The total number of streams accumulated while the song was at its peak position. Values range from approximately 44.3k to 7.79m, with a mean of 553k.
  • Total Streams: The overall total streams for the song. These figures range from approximately 44.3k to 883m, with an average of 18.3m.

Distribution

The dataset is provided as a CSV file (Spotify_final_dataset.csv) and is approximately 659.28 kB in size. It contains 9 columns and approximately 11,100 records (rows). The data is structured to provide individual song performance metrics.

Usage

This dataset is ideal for:
  • Analysing music trends and popularity over time.
  • Identifying top-performing artists and songs on Spotify.
  • Understanding song longevity and chart resilience.
  • Market research within the music industry.
  • Academic research on digital music consumption patterns.

Coverage

The dataset focuses on Spotify's top-streamed songs. While the exact geographic scope of the web scraping is not specified, Spotify is a global platform. The time range is inferred through the "Days since release" column, covering songs up to 2547 days post-release, but does not provide specific absolute dates for data collection. No specific demographic scope is mentioned.

License

CC0: Public Domain

Who Can Use It

  • Data analysts and scientists for trend identification and predictive modelling.
  • Music industry professionals (e.g., A&R, marketing teams) to scout talent and understand market dynamics.
  • Researchers studying digital media, musicology, or consumer behaviour.
  • Journalists and bloggers interested in music charting and artist performance.
  • Music enthusiasts curious about streaming metrics and popular tracks.

Dataset Name Suggestions

  • Spotify Global Top Streams
  • Top Spotify Songs Data
  • Artist Stream Metrics
  • Global Music Chart Data
  • Spotify Performance Dataset

Attributes

**Original Data Source Link:Top Spotify Songs Data

Listing Stats

VIEWS

2

DOWNLOADS

0

LISTED

14/07/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format