Data & Drawing, Football Sunday Edition

I wanted to post this last week in my excitement over week 1 of pro football season (that’s the 300 lbs. locomotives pounding into each other kind of football, not the game played with actual balls and feet), but ran out of time. So instead, in honor of football Sunday, week 2, my favorite advertisement of last year’s football season:

The ad is a phone conversation with Coca-Cola’s Katie Bayne, animated by Imaginary Forces. A couple things I like about this… First, that the attitude is so much less heavy-handed than, say, the IBM spots that seem to be based on the premise that if they jump cut quickly enough, they can cure cancer. The woman being interviewed actually laughs about “big data” truisms. Next is the fact that it’s actually a fairly smart question that’s asked:

How important is it that you get the right information rather than just a lot of information?

Well… you know you can roll around in facts all day long. It’s critical that we stay aware of that mountain of data that’s coming in and mine it for the most valuable nuggets. It helps keep us honest.

And third, the visual quality that reinforces the lighter attitude. Cleverly drawn without overdoing it. She talks about being honest and a hand comes flying in to push back a Pinnocchio nose. Nuggets of data are shown as… eh, nuggets.

And the interviewer is a dog.

Sunday, September 20, 2009 | drawing, football, motion  

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.