Karl Gude describes How to Draw an Eye

Wonderfully simple explanation of how to draw an eye. Karl used to be the graphics editor at Newsweek, and now teaches in the journalism school at Sparty.

I thought I’d share a short video I just made on how to draw an eye. I think it’s fun… Skip to the end if you’re in a hurry, though it’s only a couple of minutes long. Please pass it along to any budding artists! I plan to do a series of drawing instruction videos over time and this is the first.

Karl put together a fun conference last year. Conference might not be the right word (the attendees were the speakers, and the speakers the only attendees); really it was a handful of info geeks hanging out in Newport discussing each other’s work, but we certainly had a good time.

Saturday, February 23, 2008 | drawing  

Visualizing Data Book CoverVisualizing Data is my 2007 book about computational information design. It covers the path from raw data to how we understand it, detailing how to begin with a set of numbers and produce images or software that lets you view and interact with information. When first published, it was the only book(s) for people who wanted to learn how to actually build a data visualization in code.

The text was published by O’Reilly in December 2007 and can be found at Amazon and elsewhere. Amazon also has an edition for the Kindle, for people who aren’t into the dead tree thing. (Proceeds from Amazon links found on this page are used to pay my web hosting bill.)

Examples for the book can be found here.

The book covers ideas found in my Ph.D. dissertation, which is the basis for Chapter 1. The next chapter is an extremely brief introduction to Processing, which is used for the examples. Next is (chapter 3) is a simple mapping project to place data points on a map of the United States. Of course, the idea is not that lots of people want to visualize data for each of 50 states. Instead, it’s a jumping off point for learning how to lay out data spatially.

The chapters that follow cover six more projects, such as salary vs. performance (Chapter 5), zipdecode (Chapter 6), followed by more advanced topics dealing with trees, treemaps, hierarchies, and recursion (Chapter 7), plus graphs and networks (Chapter 8).

This site is used for follow-up code and writing about related topics.