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Most Streamed Spotify Songs 2023
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About
This dataset features the most famous songs from Spotify in 2023. It provides a rich set of attributes that go beyond typical music datasets, offering insights into each song's characteristics, popularity, and presence across various music platforms, including Spotify, Apple Music, Deezer, and Shazam. It is ideal for exploring music trends and streaming dynamics.
Columns
- track_name: The name of the song.
- artist(s)_name: The name(s) of the artist(s) performing the song.
- artist_count: The number of artists who contributed to the song.
- released_year: The year in which the song was officially released.
- released_month: The month in which the song was officially released.
- released_day: The day of the month in which the song was officially released.
- in_spotify_playlists: The count of Spotify playlists the song is featured in.
- in_spotify_charts: The song's presence and ranking on Spotify charts.
- streams: The total number of streams recorded for the song on Spotify.
- in_apple_playlists: The count of Apple Music playlists the song is featured in.
- in_apple_charts: The song's presence and ranking on Apple Music charts.
- in_deezer_playlists: The count of Deezer playlists the song is featured in.
- in_deezer_charts: The song's presence and ranking on Deezer charts.
- in_shazam_charts: The song's presence and ranking on Shazam charts.
- bpm: Beats per minute, indicating the song's tempo.
- key: The musical key of the song.
- mode: The musical mode of the song (e.g., major or minor).
- danceability_%: A percentage indicating how suitable the song is for dancing.
- valence_%: A measure of the positivity of the song's musical content.
- energy_%: The perceived energy level of the song.
- acousticness_%: The amount of acoustic sound present in the song.
- instrumentalness_%: The amount of instrumental content in the song.
- liveness_%: The presence of live performance elements in the song.
- speechiness_%: The amount of spoken words in the song.
Distribution
The data is primarily distributed in CSV format. The main file,
spotify-2023.csv, is approximately 106.27 kB in size and comprises 24 distinct columns. Most of the columns contain 953 valid records, ensuring a robust dataset for analysis.Usage
This dataset is ideal for:
- Analysing global music trends and popularity in 2023.
- Understanding the dynamics of song performance across different streaming platforms.
- Developing and testing music recommendation systems.
- Conducting statistical research into audio features and their correlation with song success.
- Creating visualisations of music data.
Coverage
The dataset focuses on globally famous songs. While concentrating on 2023, the
released_year column indicates coverage spanning from 1930 to 2023, with a significant majority of the entries (844 records) released between 2013 and 2023. It includes information on a song's presence and performance on Spotify, Apple Music, Deezer, and Shazam charts and playlists.License
CC0: Public Domain
Who Can Use It
- Music industry analysts and researchers.
- Data scientists and statisticians interested in audio features and music trends.
- Application developers working on music-related projects.
- Academics and students studying cultural trends and digital media.
- Data enthusiasts and visualisers.
Dataset Name Suggestions
- Most Streamed Spotify Songs 2023
- Hottest Spotify Hits 2023
- Global Spotify Tracks Analysis
- 2023 Top Music Data
- Spotify Music Metrics 2023
Attributes
Original Data Source: Most Streamed Spotify Songs 2023
QUALITY