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.
From beginner to advanced.
What you get
Most of the major pizza chains are within a 5-mile radius of where I live, so I have my pick, …
Watch the regional changes across the country from 1990 to 2016.
It’s always tough to pick my favorite visualization projects. Nevertheless, I gave it a go.
There are many ways to die. Cancer. Infection. Mental. External. This is how different groups of people died over the past 10 years, visualized by age.