Coke vs Soda vs Pop : Linguistic trends analyzed with Twitter and R

[This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Growing up in Australia, for me a carbonated drink like Pepsi or Fanta or lemonade was always just a “soft drink”. (Also, 'lemonade' in Australia was something different to 'lemonade' in the US; it's something close to 7-Up.) So when I moved to Seattle, it was surprising to me that all such things were called “pop”. And then I travelling across the US, and realised it was also “soda” (which, to an Australian, is exclusively club soda), and even sometimes “coke”. Not capital-C Coke, but “coke”, meant any generic soft drink. It's all very confusing.

Thankfully, Ed Chen (a data scientist at Twitter) makes it all clear with this map of the usage of coke, pop and soda around the US:

Soda-coke-pop-us

Ed created this map using the R language. He downloaded geotagged tweets referring to the act of drinking, and plotted the frequency of their use across the US. Very cool. You can read how Ed did it on his blog linked below.

Edwin Chen's Blog: Soda vs. Pop with Twitter

To leave a comment for the author, please follow the link and comment on their blog: Revolutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)