Data source
The dataset used in this project is derived from the
Music Genre Trends Analysis (2010–2022) repository
published by Dhruv Strivedi on GitHub.
The dataset includes track-level information such as
track popularity, artist popularity, genre classifications,
and key audio features including danceability, energy,
valence, tempo, and duration.
These attributes were used to calculate yearly averages
and identify long-term genre trends.
Glossary of key terms
- year
- The release year of this track.
- track_name
- The title of the track.
- track_popularity
- A Spotify-generated score (0–100) representing the relative popularity of a track.
- artist_name
- The name of the artist associated with the track.
- artist_genres
- A list of genre labels assigned to the artist by Spotify.
- main_genre
- A broader genre category derived from artist genres for analysis purposes.
- artist_popularity
- A Spotify-generated score indicating the overall popularity of an artist.
- danceability
- A measure of how suitable a track is for dancing based on rhythm and beat.
- energy
- A measure of a track’s intensity and activity level.
- liveness
- A measure of the likelihood that the track was performed live.
- valence
- A measure of the musical positiveness conveyed by a track.
- tempo
- The speed of a track measured in beats per minute (BPM).
- duration_ms
- The duration of the track measured in milliseconds.
- time_signature
- The time signature of the track indicating beats per measure.