Submitted by CharcoalCharts t3_zeohts in dataisbeautiful
Comments
Freak_Out_Bazaar t1_iz8irwu wrote
I mean, it shows that Phoenix has more Mexican restaurants than American, so you can’t really make an assumption. You also need to leave in all the statistics to figure out things like how exactly dominating the native cuisine is compared to all others and such
indyK1ng t1_iz9aa2h wrote
I think that makes Phoenix interesting, not the whole image meaningful.
The native food really drowns out information about other food, especially in Asia with the huge blue circles covering everything else.
Freak_Out_Bazaar t1_izc43jz wrote
If you remove the native cuisine from each city it will become a completely different report and make international comparisons useless. The point of this is to show how dominating Asian restaurants (and running restaurants) are in Asia
CharcoalCharts OP t1_iz7lo6q wrote
Data: Foursquare. Tools: R, Leaflet.
I made a similar analysis with Yelp data. The stories rhyme, but Foursquare has a wider global reach. https://www.reddit.com/r/dataisbeautiful/comments/zbdu4i/global_cuisine_according_to_yelp_oc/
Freak_Out_Bazaar t1_iz7o4gs wrote
Sort of interesting how BBQ is its own category since a BBQ restaurant in Atlanta, Bologna, Osaka or Bangalore are all going to look and taste quite different from each other
[deleted] t1_iza84n3 wrote
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UsernameTaken1701 t1_izanp7i wrote
Maybe exclude restaurants whose cuisine is the same nationality as the nation they are in.
indyK1ng t1_iz7osrz wrote
Hmmm, yes, the most popular ethnic restaurant in Mexico City is Mexican. How did I not see that coming?
Wouldn't it be more meaningful to categorize by foods foreign to the given country?