Nathan Yau

“APIs are for nerds (Nerds who build freaking awesome sports stuff.)” [via]

In this simple interactive animation by Periscopic, in partnership with UNICEF, we see…

Why, what and how of open data from Open Knowledge Foundation

Free ebook on making use of open government data [via]

Interactive visualization continues to grow more useful and prominent in every day analysis.…

Newest version of the R graphics package contains a lot of new features and updates

Guardian asks actual data scientists what data science is. Recurring theme is a blending.

The quantified self movement continues:
This may sound creepy, but tens of thousands…

Other than with base R functionality, people typically use Lattice or ggplot2. In this multi-part post, lattice plots are recreated with ggplot2, code snippets included

Movies are a curious business. There a variety of forces that encourage people…

Lightweight library for time series charts

Inversion for clarity; interesting use of gradient

In collaboration with Lift and Near Future Laboratory, Interactive Things explores digital traces…

The difference:
In this animated short, the relationship between trend and variation are…

Newsrooms are changing and some embrace the growth of data-driven stories. Others not so much [via]

Continuing to spread their seeds of knowledge. Strive for clear and simple, learn to code, and sketch a lot. [via]

A shift in focus for the once data consumer focused site. This not long after Infochimps launches their big data platform geared towards developers. It’ll be interesting to see what these two are like in three years.

A classic case of “I’m not in your territory. Just look at Google Maps.”

“But in the long run, it becomes pleasurable and even addictive.”

On February 29, 2000, R 1.0.0 was released