Writing

“There’s a movie in there, but it’s a very unusual movie.”

how about some handsome with that?On the heels of today’s posting of the updated Salary vs. Performance piece comes word in the New York Times that a film version of Moneyball has been shelved:

Just days before shooting was to begin, Sony Pictures pulled the plug on “Moneyball,” a major film project starring Brad Pitt and being directed by Steven Soderbergh.

Yesterday I found it far more unsettling that such a movie would be made period, but today I’m oddly curious about how they might pull it off:

What baseball saw as accurate, Sony executives saw as being too much a documentary. Mr. Soderbergh, for instance, planned to film interviews with some of the people who were connected to the film’s story.

I guess we’ll never know, since other studios also passed on the project, but that’s probably a good thing.

As an aside, I’m in the midst of reading Liar’s Poker (another by Moneyball author Michael Lewis) and again find myself amused by his ability as a storyteller: he reminds me of a friend who can take the most banal event and turn it into the most peculiar and hilarious story you’ve ever heard.

Thursday, July 2, 2009 | movies, reading, salaryper  
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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