Code as microorganism

Posted to Data Art  |  Tags: ,  |  Nathan Yau

Taking a step beyond 2-D glyphs, Codeology depicts GitHub user activity based on what they have contributed as 3-D objects made of ASCII characters.

The application pulls data from GitHub’s public API and creates visuals using WebGL, Three.js, and GLSL Shaders. Shape and color represent an individual language, with size being proportionate to how many characters of code were written.

I don’t know if it was intentional, but every visual looks like a microorganism. Pretty cool. [via Waxy]

Favorites

Most popular porn searches, by state

We’ve seen that we can learn from what people search for, through the eyes of Google suggestions: state stereotypes, national …

One Dataset, Visualized 25 Ways

“Let the data speak” they say. But what happens when the data rambles on and on?

Where Bars Outnumber Grocery Stores

A closer look at the age old question of where there are more bars than grocery stores, and vice versa.

Real Chart Rules to Follow

There are rules—usually for specific chart types meant to be read in a specific way—that you shouldn’t break. When they are, everyone loses. This is that small handful.