Skip to content

This is a project in which we will investigate Spotify song data to answer two questions of interest. One is what musical attributes boosted the popularity of songs in the 2010s, and the second is to what extent can the musicality of a song predict whether a song is explicit or non-explicit.

License

Notifications You must be signed in to change notification settings

lornamariak/Modeling-Trends-for-Spotify-Songs

 
 

Repository files navigation

Modeling-Trends-for-Spotify-Songs

This is a project in which we will investigate Spotify song data (scraped by Yamac Eren Ay and hosted on Kaggle) to answer two questions of interest. One is what musical attributes boosted the popularity of songs in the 2010s, and the second is to what extent can the musicality of a song predict whether a song is explicit or non-explicit.

Dataset Link : https://www.kaggle.com/datasets/yamaerenay/spotify-dataset-19212020-600k-tracks

Research Questions Overview with Variables of interest

TBD

Key Results (at the end of the project cycle)

TBD

P.S. the original dataset did not fit due to the size limit. The subset might fit. The limit is 25 mb.

Modifying Readme from R local Repo

About

This is a project in which we will investigate Spotify song data to answer two questions of interest. One is what musical attributes boosted the popularity of songs in the 2010s, and the second is to what extent can the musicality of a song predict whether a song is explicit or non-explicit.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published