This project originates from the course DH2321 Information Visualization at KTH Royal Institute of Technology as a group project but has since then been updated by myself.
Spotify Virality Visualizer is a visualization tool used to gain insight into modern music trends on a global scale. The data used is the top 50 songs for each week and country from Spotify's viral playlists from winter 2017 to winter 2020. A viral song is a song that has a high amount of social media shares, song plays, and other web exposure in a short period. The attributes visualized are aggregated by Spotify and consists of a song's core elements.
The attributes used for the visualization tool are the following.
- Danceability describes how suitable a track is for dancing.
- Energy is a measure of intensity and activity. Typically, energetic tracks feel fast, loud, and noisy.
- Speechiness detects the presence of spoken words in a track.
- Acousticness is a confidence measure whether the track is acoustic or not.
- Instrumentalness measures whether a track contains no vocals.
- Livness measure the presence of an audience in the recording.
- Valence is a measure of musical positiveness conveyed by a track.
This was a group project done for a course in information visualization at KTH.
Erik Båvenstrand – Portfolio – erik@bavenstrand.se
Distributed under the MIT license. See LICENSE for more information.