Bumped into another interesting blog: Last.HQ, Music and Webgeekery from East London. Interesting compendium of socio-musical interest and age relevance. Click thru to the post: Now in the playground: Gender Plots. Lots more graphs on the post
The dude writes: About 6 weeks ago I started a short internship at Last.fm. For my project I wanted to explore Last.fm’s data to learn how listening preferences vary with the listener’s age and gender. Apart from the science, the most important thing I found is that you can make awesome plots with this information.
I started by making a chart to show what kind of music you “should” be listening to if you really want to fit in with the most common artists in your age range and gender: