This project focuses on visualizing data related to songs on Spotify, using two main datasets: one containing information about top hit songs between 2010 and 2022, and another containing characteristics of less popular songs as of 2022. Additionally, a third dataset providing genre information about artists is incorporated for extra visual representation. The visualizations include scatter plots for an overview of average feature values across different years and line graphs for a closer examination of specific audio features over time. Through these visualizations, this project aims to compare attributes between 'best' and 'worst' songs on Spotify, offering insights into trends and patterns in music consumption.

Below is an embedding of the project visualizations! If you wish to view in a separate browser, click here. If you wish to view all of the project files, including the report, they can be found at this GitHub repository.