Twitter mapped all the geotagged tweets since 2009. There’s billions of them, so as you might expect, roads, city centers, and pathways emerge. And it only took 20 lines of R code to make the maps.
Pretty interesting. +1 to take the same maps and compare them with world population to get a sense of geo-biases in twitter data. It’ll probably take a few more than 20 lines to get ‘er done, but it would be a compelling view of any biases that we may see in Twitter!
Too bad they didn’t make the data available! Although I guess that would “go against” their “business model” or something.
So where are those 20 lines of code?
Google ggmap. You’ll find quite a few examples.
Are these maps of geotagged tweets or of geotagging tweeters ? A map of communications or of communicating users ?
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Many lists of maps promise to change the way you see the world, but this one actually does.
The data goes back to 1960 and up to the most current estimates for 2009. Each line represents a country.
“Let the data speak” they say. But what happens when the data rambles on and on?
Jobs and pay can vary a lot depending on where you live, based on 2013 data from the Bureau of Labor Statistics. Here’s an interactive to look.