Mining data for musical tastes

This exercise carried out by the BBC is an interesting indication of how data can be used.  It’s based on musical preferences, which are of course easily measurable given that downloading from the Internet has for many become the default channel for listening to recorded music.  And in this case it’s based on use of the music recognition app Shazam, and I would speculate that using data collected through Spotify or iTunes might throw up somewhat different results.  Intriguingly, London’s musical twin city is Kaiapoi in New Zealand (pop around 10,000).  It’s a pity that for London at least the BBC’s data wasn’t able to identify musical tastes associated with particular areas and to generate more specific twin cities for these.

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