Lee Byron: Last.fm Visualization



After letting Last.fm track his music listening habits for over a year, Lee Byron took the data generated and through some clever math and plotting, produced this beautiful, organic representation of his history. Artists ebb and flow as the seasons and his preferences change.

After thinking about how I could show this whole sum in a presentable form, I decided on a sort of layered histogram. Each colored sliver represents a different artist listened to in the last 18 months. The sliver moves through time left to right growing thicker where it was more popular and thinner where it was less. The color indicates the first time the artist was listened to, warmer colors being more recent and cooler being further back. As a new artist is listened to it is put onto the outsides of the graph. The result is a wiggling tour through your listening history past.

While this is interesting to look at, it is more significant on a personal level. When viewing your own music listening history you are reminded of past events that caused the trends to emerge.

There’s a lot more interesting data visualization at his portfolio site, check it out.

Lee Byron: Last.fm Visualization



After letting Last.fm track his music listening habits for over a year, Lee Byron took the data generated and through some clever math and plotting, produced this beautiful, organic representation of his history. Artists ebb and flow as the seasons and his preferences change.

After thinking about how I could show this whole sum in a presentable form, I decided on a sort of layered histogram. Each colored sliver represents a different artist listened to in the last 18 months. The sliver moves through time left to right growing thicker where it was more popular and thinner where it was less. The color indicates the first time the artist was listened to, warmer colors being more recent and cooler being further back. As a new artist is listened to it is put onto the outsides of the graph. The result is a wiggling tour through your listening history past.

While this is interesting to look at, it is more significant on a personal level. When viewing your own music listening history you are reminded of past events that caused the trends to emerge.

There’s a lot more interesting data visualization at his portfolio site, check it out.