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 ?
Become a member.
Learn to visualize your data.
What you get
We don’t all start our work days at the same time, despite what morning rush hour might have you think.
These are my picks for the best of 2015. As usual, they could easily appear in a different order on a different day, and there are projects not on the list that were also excellent.
So far we’ve seen when you will die and how other people tend to die. Now let’s put the two together to see how and when you will die, given your sex, race, and age.
Moving on from the most trendy names in US history, let’s look at the most unisex ones. Some names have …