Q: I am about to venture into using data analysis. Is there a good book you can recommend to a neophyte on this quest? Subjects such as what to expect, how to make sense of data, relationship between data and what me and/or the car are doing, and what to do different to improve my racecraft would be welcomed. Among others subjects that you believe are important.

A: My favorite two data books are:

• Making Sense of Squiggly Lines, by Chris Brown (https://www.amazon.com/Making-Sense-Squiggly-Lines-Christopher/dp/0983259313/ref=sr_1_fkmr1_1?ie=UTF8&qid=1499916385&sr=8-1-fkmr1&keywords=squiggly+lines+data+book)
• Data Power, by Buddy Fey (https://www.amazon.com/Data-Power-Acquisition-Practical-Interpretation/dp/1881096017/ref=sr_1_1?ie=UTF8&qid=1499916429&sr=8-1&keywords=data+power+buddy+fey) This one is almost impossible to find, but worth it if you do.

The one area that I don’t recall either doing a great job of is illustrating how to use data to improve racecraft. But they’re good for everything else.

I’ve heard good things about Analysis Techniques for Racecar Data Acquisition by Jorge Segers, but not read it myself (it’s in the stack of books next to my bed!).