Visualizing Heavy Metal with P5

Exploring the relationship between popularity and danceability in Heavy Metal

Heavy metal is a genre of rock music that developed in the late 1960s and early 1970s, largely in the United Kingdom and United States1. Since then, hundreds of sub-genres have emerged, creating sublime variations that exist under its umbrella. Spotify compiles playlist data that rates factors such as energy, loudness, danceability, and popularity. Using the Metal Music Data csv, sourced from Kaggle, this visualization explores a possible relationship between danceability and popularity by analyzing a random subset of 500 songs.

Popularity is reflected through placement on the X axis and the size of the ellipses. Danceability is measured along the Y axis and grouped by color. Through this visualization, we discover that songs with low danceability tend to be less popular than those with moderate to maximum danceability.