Wrangling F1 Data With R por Tony Hirst [Leanpub PDF/iPad/Kindle]
Wrangling F1 Data With R
Wrangling F1 Data With R (The Book + Code and Data Samples)
$8.49
Minimum
$15.99
Suggested
Wrangling F1 Data With R

Last updated on 2016-04-02

About the Book

As a driver of technological and engineering innovation, Formula One motorsport is unsurpassed in its relentless pursuit of improvement on a weekly basis. But whilst sports such as cricket and baseball provide a wealth of geekery for the stats fans, F1 seems to lag behind.

If you're attracted by F1's passion to push engineering and technology to the limit, this book will help you grab a range of Formula One datasets by the scruff of the neck and wrangle a wide variety of insights from them.

Using the latest in open source data analysis and visualisation techniques, you'll learn how to extract the stories that often go unnoticed from whatever Formula One data you can lay your hands on. And maybe, just maybe, you'll be able to use the skills you learn along the way outside of the F1 context...

Let your passion for Formula One drive your data skills to new heights... #f1datajunkie 

The current release of the book is an early draft. Many of the chapters are in a raw and incomplete form; others aren't published yet. The preview will change regularly, containing anywhere between 30% and 80% of the the latest version of the paid for version. If you pay for the book, you get any and all updates to it for free. The book is priced as it is so that affiliate links work.

Packages

The Book + Code and Data Samples

A copy of the book plus some example code files and data files referenced from within the book.

  • English

  • PDF

  • EPUB

  • MOBI

  • APP

$8.49
Minimum
$15.99
Suggested
The Book
  • English

  • PDF

  • EPUB

  • MOBI

  • APP

$7.49
Minimum
$13.99
Suggested

About the Author

Tony Hirst
Tony Hirst

Tony Hirst is a Senior Lecturer in Telematics in the Department of Computing and Communications at The Open University, and data storyteller with the Open Knowledge Foundation's School of Data.

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