I agree that regions & languages are one way to classify data, but there are other more meaningful sub-culture categories. I tried to simplify all data into ~3

I agree that regions & languages are one way to classify data, but there are other more meaningful sub-culture categories. I tried to simplify all data into ~30 categories. My own interests fit into 16, so I drew a visual representation of them. https://github.com/peterburk/sortlikes https://github.com/peterburk/sortlikes Next, I need to figure out the sub-categories. Genres for music, countries for travel, etc. What interests me most is the cross-cultural connections. For example, Taiwanese punk rock (Fire Ex), or Mongolian folk metal (Nine Treasures, Hanggai). I like that music because it's the same sub-category I'm interested in (Music/Rock). It's also possible to model the flow of finance around the world through this categorisation. Some of the categories are innately human and don't seem to exist in animals (music, cooking). Email me if you'd like to chat more about how to categorise culture - I think it's important and I've got lots of ideas about it, but I haven't yet met any other people with this same passion.