Writing

Transit Trekkies

Casey wrote with more info regarding the previous post about Pelham. The command center in the movie is fake (as expected), because the real command center looks too sophisticated. NPR had this quote from John Johnson (spelling?), New York City Transit’s Chief Transportation Officer:

“They actually … attempted to downplay what the existing control center looks like, because they wanted to make it look real to the average eye as compared to… we’re pretty Star Trekky up in the new control center now.”

So that would explain the newish typeface used in the image, and the general dumbing-down of the display. The audio from the NPR story is here, with the quote near the 3:00 mark.

This is the only image I’ve been able to find of the real command center:

where are the people?

Links to larger/better/more descriptive images welcome!

Tuesday, June 16, 2009 | bigboard, movies  
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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