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This is really cool! I love playing with my own Last.fm data. Some suggestions:

- Manually (or using your Facebook timeline?) place out big events in your life and see if you can see what kind of music you listened to before/after them that you don't normally. I listen to depressing shit post break-ups.

- Use your Twitter or any other feed to estimate your "mood" over time and see if you can find any music you listened to while you're angry

- Use The Echo Nest to get metrics for how happy/sad/energetic the music you listen to is.

- Come up with your own definition of albums played! I hate Last.fm's because, as you mentioned, it heavily biases albums with multiple tracks. In my personal analysis I always start off with a RLE for tracks played on the same album, and my metric for "albums I listen to the most" is "which albums do I listen to at least 3 continuous songs from the most".

I spent a few months this year trying to combine my Last.fm listening history with my geolocation history (I've mostly just stayed in the same place for the last 8 years, 3-4 years) and Forecast.io's historical API to be able to answer the question "am I really only happy when it rains?" -- Data warehousing is a hard problem, though.



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