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Spotify Global Charts Audio Features
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About
This dataset offers a detailed collection of musicality and metadata for songs featured in Spotify's Global Top-50 playlists. It provides a snapshot of weekly music trends, capturing melodic characteristics and other relevant track information. The data was extracted using the Spotify Official API and covers the 45th week of 2023, specifically from 6th November to 12th November, encompassing 73 different countries. This makes it a valuable resource for understanding the sonic attributes of popular music worldwide during this period.
Columns
- Index: A numerical identifier for each record.
- Country: The 3-letter ISO code for the country where the playlist originated.
- Track Name: The title of the song.
- Artist Name: The name of the performing artist.
- Album Name: The title of the album the song belongs to.
- Popularity: A score indicating the popularity of the track, ranging from 0 (least popular) to 100 (most popular).
- Date: The publication date of the song.
- Markets: The initial market where the song became available.
- Danceability: A measure from 0.0 to 1.0 indicating how suitable a track is for dancing, based on musical elements like tempo and rhythm.
- Acousticness: A confidence measure from 0.0 to 1.0, where higher values indicate a greater likelihood of the track being acoustic.
- Duration_ms: The length of the track in milliseconds.
- Energy: A perceptual measure from 0.0 to 1.0 representing intensity and activity; energetic tracks often sound fast and loud.
- Instrumentalness: A prediction of whether a track contains vocals. Values closer to 1.0 suggest no vocals.
- Key: The musical key of the track, represented by integers where 0=C, 1=C♯/D♭, etc. -1 indicates no key was detected.
- Liveness: A value detecting the presence of an audience. Higher values suggest an increased probability of a live performance.
- Loudness: The overall loudness of the track in decibels (dB), averaged across its duration.
- Mode: Indicates the modality of a track (major or minor), with 1 for major and 0 for minor.
- Speechiness: Detects the presence of spoken words. Higher values indicate a more speech-like recording.
- Tempo: The estimated tempo of the track in beats per minute (BPM).
- Time_signature: An estimated time signature, ranging from 3 to 7, corresponding to "3/4" to "7/4" time.
- Valence: A measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track; high valence indicates positive emotions.
Distribution
The dataset is provided in a CSV format, with a file size of 506.58 kB. It contains 21 distinct columns. Most columns have 3589 valid records, while 'Track Name', 'Artist Name', and 'Album Name' have 3583 valid records, with 6 missing entries for each.
Usage
This dataset is ideal for analysing global music trends, performing comparative studies of musical attributes across different countries, and understanding the factors contributing to song popularity. It can be used for academic research into musicology, market analysis for the music industry, and developing recommendation systems.
Coverage
The dataset covers 73 countries worldwide, focusing on their respective Spotify Top-50 playlists. The time range for the data is specific to the 45th week of 2023, from 6th November to 12th November. No specific demographic scope is provided, as it pertains to globally popular music on Spotify.
License
CC0: Public Domain
Who Can Use It
Music analysts can identify popular musical characteristics and trends. Data scientists can build predictive models for music popularity or explore relationships between musical features. Music producers might gain insights into current sonic preferences. Researchers can use the data for studies on cultural music consumption and the evolution of music. Anyone interested in data-driven insights into the global music landscape would find this dataset beneficial.
Dataset Name Suggestions
- Global Spotify Top Tracks Musical Attributes (Nov 2023)
- Spotify Weekly Top-50 Playlist Musicality
- International Spotify Song Metrics (2023)
- Spotify Global Charts Audio Features
Attributes
Original Data Source: Spotify Global Charts Audio Features
QUALITY