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Textbook in PDF format

Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language.
Statistics Playbook upgrades your R data science skills by taking on practical analysis challenges based on NBA game and player data. Is losing games on purpose a rational strategy? Which hustle statistics have an impact on wins and losses?
Each chapter in this one-of-a-kind guide uses new data science techniques to reveal interesting insights like these. And just like in the real world, you’ll get no clean pre-packaged datasets in Statistics Playbook . You’ll take on the challenge of wrangling messy data to drill on the skills that will make you the star player on any data team.
Getting familiar with R
Exploring data
A statistical justification for tanking
An easy method for overcoming hard constraints
It doesn’t always makes sense to give 100%
Are games really won in the fourth quarter?
Here’s the proof that officials are biased
Shoot!
Rest and win
Money usually buys happiness…and championships
The New York Knicks are a cluster
Income inequality is winning
Win share inequality is winning
No, defense doesn’t win championships
The Lindy effect and NBA franchises
Career expectancy
The greatest upset of all time
Wisdom of crowds
Parity shmarity
George Mikan was better than Wilt Chamberlai