Year: 2021
Type: preprint
Abstract: Our analysis reviews and visualizes the audio features and popularity of songs streamed on Spotify*. Our dataset, downloaded from Kaggle and originally sourced from Spotify API, consists of multiple Excel files containing information relevant to our visualization and regression analysis. The exercise seeks to determine the connection between the popularity of the songs and the danceability. Insights to be included and factored as part of our analysis include song energy, valence, BPM, release date, and year.
Source: arXiv (Cornell University)
Authors: Ochi, Virginia, Estrada, Ricardo, Gaji, Teezal, Gadea, Wendy, Duong, Emily
Institution: California State University Los Angeles
Language: English
Topic: Music and Audio Processing
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3190048310