Links

Tutorial talk by Mike Dewar, data scientist at bit.ly [via]

And when a stacked area chart might be better

Amanda Cox, the token statistician, talks R and its role in professional graphics [via]

Sebastian Delmont explains why and how StreetEasy stopped using Google Maps, switching to custom maps with open source tools

Breakdown of what worked and didn’t with news trackers for the New Hampshire primaries

Entire book from Stanford InfoLab available for free. Also available in print [via]

Math to reduce overlap and increase readability [via]

Simple dataset, but two graphs tell different stories of rainfall

How we see patterns. Second in the series from Jorge Camoes, geared towards Excel users, but applicable across different software

Predictive analytics, the talent grab, and non-profits [via]

As part of a masters thesis project, a collection of information graphics from The New York Times and The Guardian

Read the original summary of the method first

Quick hack that shows where your Twitter followers are from

“Will your code someday escape our solar system or land on an alien planet?” [via]

Guardian’s short eBook on how they do data

Maybe there’s something to this numbers thing

Axis Maps makes their app free for all. My review from when it launched

Distribution versus counts

A lot of things, and if anything it’s subjective

Collision in a good way this year [via]