Every year Spotify comes out with our top 100 songs. Since I've been using Spotify from some time now, I have a couple playlists built up. I always wondered how my music taste has changed throughout the years. Wielding Spotify's API and being able to accesss different Audio Features I thought it might be worth checking out.
From The Spotify API Documentation we get a description of the different features.
acousticness- A confidence measure from 0.0 to 1.0 of whether the track is acoustic.danceability- Danceability describes how suitable a track is for dancing based on a combination of musical elements including tempo, rhythm stability, beat strength, and overall regularity. A value of 0.0 is least danceable and 1.0 is most danceable.duration_ms- The duration of the track in milliseconds.energy- Energy is a measure from 0.0 to 1.0 and represents a perceptual measure of intensity and activity.instrulmentalness- Predicts whether a track contains no vocals.liveness- Detects the presence of an audience in the recording.loudness- The overall loudness of a track in decibels (dB).speechiness- Speechiness detects the presence of spoken words in a track.tempo- The overall estimated tempo of a track in beats per minute (BPM)valence- A measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track.
I was able to get a really cool look at the different scores over the years. It's neat to see how my taste has changed.
Below are the distributions of each feature by year of playlist:
Thanks to the correlation package I'm also able to dive into the correlation between features:
All in all, I thought it was a really cool experience to be able to see the features change throughout time. I look forward to see how the features change in the future 😁
Makowski, D., Ben-Shachar, M. S., Patil, I., & Lüdecke, D. (2019). Methods and Algorithms for Correlation Analysis in R. Journal of Open Source Software, 5(51), 2306. doi:10.21105/joss.02306