Writing

The Owl Learns Japanese

1378_visualdata_h1.jpgI’m incredibly pleased to write that O’Reilly Japan has just completed a Japanese translation of Visualizing Data. The book is available for pre-order on Amazon, and has also been announced on O’Reilly’s Japanese site.

Having the book published in Japanese is incredibly gratifying. Two of my greatest mentors (Suguru Ishizaki at CMU, and later John Maeda at MIT) were Japanese Americans who trained at Tsukuba University, training that informed both their own work and their teaching style.

I first unveiled Processing during a two week workshop course at Musashino Art University in Japan in August 2001, working with a group of about 40 students. And in 2005, we won the Interactive Design Prize from the Tokyo Type Director’s Club.

At any rate, I can’t wait to see the book in person, this is just too cool.

Monday, December 1, 2008 | Uncategorized  
Book

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.

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