Writing

No really, 3% of our GDP

Reader Eric Mika sent a link to the video of Obama’s speech that I mentioned a couple days ago. The speech was knocked from the headlines by news of Arlen Specter leaving the Republican party within just a few hours, so this is my chance to repeat the story again.

Specter’s defection is only relevant (if it’s relevant at all) until the next election cycle, so it’s frustrating to see something that could affect us for five to fifty years pre-empted by what talking heads are more comfortable bloviating about. It’s a reminder that with all the progress we’ve made on how quickly we can distribute news, and the increase in the number of outlets by which it’s available, the quality and thoughtfulness of the product has only been further undermined.

Update, a few hours later: it’s a battle of the readers! now Jamie Alessio passed along a high quality video of the the President’s speech from the White House channel on YouTube. Here’s the embedded version:

Monday, May 4, 2009 | government, news, science, speaky  
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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