Matthew Carter wins a MacArthur

I’m really happy to see typographer Matthew Carter receive a well-deserved MacArthur “Genius” Grant. A short video:

Very well put:

I think they’re saying to me, “You’ve done all this work. Well done… Here’s an award, now do more. Do better.” And it’s very nice, at my age, to be told by someone, that “we expect more from you. And here’s the means to help you achieve that.”

And if you’re not familiar with Carter’s name, you know his work: he created both Verdana and Georgia, at least one of which will be found on nearly any web site (the text you’re reading now is Georgia). Microsoft’s commission of these web fonts helped improve design on the web significantly in the mid-to-late 90s. Carter also developed several other important typefaces like Bell Centennial (back in the 70s), the tiny text found in phone books.

Tuesday, September 28, 2010 | typography  

Visualizing Data Book CoverVisualizing Data is my 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. Unlike nearly all books in this field, it is a hands-on guide intended for people who want to learn how to actually build a data visualization.

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 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.