Nice work by Bill Rankin over at Radial Cartography. He tries to map out lands that were really uninhabited prior to discovery. You’ll notice they were mostly small islands.
If you like maps and haven’t browsed that site before, you should. Lots of cool projects:
A table of projections:
Comparison of subways in the USA:
Make a personalized celestial calendar:
I had no idea there was a red-head enclave in Russia. (further discussion)
A clever animation of how the bikes move around throughout the day. You have to watch it on slow to really get a feeling of what’s going on.
Is the American dream still alive? Can you work hard and raise your income level? Well, it kinda depends on where you live. The NYT has a couple of nice interactive tools who exploring the results of a study of the issue. (via FlowingData)
MIT has a fun toy which let’s you conduct network analysis of your gmail emails. There’s a thread over at Slashdot that discusses how this analysis of meta data is similar to the Snowden revealed PRISM project.
This has been making the rounds. I like that they used alpha shading to show variations. And it’s pop, not soda.
A lot of these are misleading – but hey, so are most charts. For more entertaining interpretations of the same figures, check out The Washington Post’s “31 Charts to Destroy Your Faith in Humanity.”
Immigration has always been a tough issue to deal with.
The chart reminds me of this John Stewart bit on immigration and “Traditional America”:
This has been making the rounds. Based on 150,000 geocoded tweets from June 2012 to April 2013, filtered 1st by use of word, and then manually whether it was used in a negative or derogatory fashion.
Obviously this suffers from selection bias as it only includes people who bother to tweet, and those who aren’t ashamed to do it publicly. There’s also the usual population density distortion (last map below), which would be compounded by cell phone coverage out west. So, basically, this is another pretty visualization of social media meta data that doesn’t really mean much of anything. To be honest I’m surprised they only found 150,000 hateful tweets in 11 months. (The author’s FAQ is an interest read)
Pretty accurate. Some people just don’t understand that performing at a high level requires some rest periods in between the productivity. Or maybe we really are just lazy – I can’t say for sure.
An addictive collection of beautiful charts, graphs, maps, and interactive data visualization toys -- on topics from around the world.