A comparative analysis of highly and less popular songs using energy, danceability, tempo, and more across genres and time.
This project explores how key musical features like energy, danceability, speechiness, and loudness vary between highly popular and less popular songs across genres and over time. Using two curated datasets from Spotify's API, this project visualizes musical trends, genre characteristics, and evolution patterns to better understand what drives popularity in music today.
This visualization compares the average energy levels across different genres for both high and low popularity songs. Hover over the bars to see exact energy values per genre
This dual-axis line graph shows how tempo and liveness vary across genres. Hover over the lines to see detailed data points!
This dual-axis line graph shows average song duration and valence across genres. Hover over the lines to see detailed data points!
Discover how speechiness and popularity levels vary across different genres using the dual-axis area chart. Hover over the lines to see detailed data points!
Explore the treemap to find out which genres have the highest average energy and danceability. Use the interactive legend to highlight specific genres over various time periods.
This visualization shows how energy, danceability, loudness, and speechiness have changed over time for both high and low popularity songs. Use the filters to select specific time periods or genres!