Booktopia has been placed into Voluntary Administration. Orders have been temporarily suspended, whilst the process for the recapitalisation of Booktopia and/or sale of its business is completed, following which services may be re-established. All enquiries from creditors, including customers with outstanding gift cards and orders and placed prior to 3 July 2024, please visit https://www.mcgrathnicol.com/creditors/booktopia-group/
Add free shipping to your order with these great books
Statistics Playbook - Trey Grainger

Statistics Playbook

By: Trey Grainger, Doug Turnbull, Max Irwin

Hardcover | 6 February 2024

Sorry, we are not able to source the book you are looking for right now.

We did a search for other books with a similar title, however there were no matches. You can try selecting from a similar category, click on the author's name, or use the search box above to find your book.

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 Slam Dunk is an engaging how-to guide for statistical analysis with R. Each chapter contains an end-to-end data science or statistics project delving into NBA data and revealing real-world sporting insights. Written by a former basketball player turned business intelligence and analytics leader, you'll get practical experience tidying, wrangling, exploring, testing, modeling, and otherwise analyzing data with the best and latest R packages and functions.

In Statistics Slam Dunk you'll develop a toolbox of R programming skills including:

  • Reading and writing data
  • Installing and loading packages
  • Transforming, tidying, and wrangling data
  • Applying best-in-class exploratory data analysis techniques
  • Creating compelling visualizations
  • Developing supervised and unsupervised machine learning algorithms
  • Executing hypothesis tests, including t-tests and chi-square tests for independence
  • Computing expected values, Gini coefficients, z-scores, and other measures

If you're looking to switch to R from another language, or trade base R for tidyverse functions, this book is the perfect training coach. Much more than a beginner's guide, it teaches statistics and data science methods that have tons of use cases. And just like in the real world, you'll get no clean pre-packaged data sets in Statistics Slam Dunk. 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.

Foreword by Thomas W. Miller.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the technology

Statistics Slam Dunk is a data science manual with a difference. Each chapter is a complete, self-contained statistics or data science project for you to work through--from importing data, to wrangling it, testing it, visualizing it, and modeling it. Throughout the book, you'll work exclusively with NBA data sets and the R language, applying best-in-class statistics techniques to reveal fun and fascinating truths about the NBA.

About the book

Is losing basketball games on purpose a rational strategy? Which hustle statistics have an impact on wins and losses? Does spending more on player salaries translate into a winning record? You'll answer all these questions and more. Plus, R's visualization capabilities shine through in the book's 300 plots and charts, including Pareto charts, Sankey diagrams, Cleveland dot plots, and dendrograms.

What's inside

  • Transforming, tidying, and wrangling data
  • Applying best-in-class exploratory data analysis techniques
  • Developing supervised and unsupervised machine learning algorithms
  • Executing hypothesis tests and effect size tests

About the reader

For readers who know basic statistics. No advanced knowledge of R--or basketball--required.

About the author

Gary Sutton is a former basketball player who has built and led high-performing business intelligence and analytics organizations across multiple verticals.

Table of Contents

1 Getting started
2 Exploring data
3 Segmentation analysis
4 Constrained optimization
5 Regression models
6 More wrangling and visualizing data
7 T-testing and effect size testing
8 Optimal stopping
9 Chi-square testing and more effect size testing
10 Doing more with ggplot2
11 K-means clustering
12 Computing and plotting inequality
13 More with Gini coefficients and Lorenz curves
14 Intermediate and advanced modeling
15 The Lindy effect
16 Randomness versus causality
17 Collective intelligence

Industry Reviews

"An excellent way to learn exploratory data analysis and statistical analysis with R and sports statistics from the NBA."
Bob Quintus

"This book is very impressive. Different from other similar books, this book integrates the technology of R language through storytelling."
Chen Sun

"A great example of using R and applying it to a machine learning problem."
John Williams

"Very interesting subject matter. The author's enthusiasm for it really shows."
Lachman Dhalliwal

"For users looking to get experience with real world datasets, this book will provide a great methodological approach."
Eli Mayost

More in Algorithms & Data Structures

Python for Algorithmic Trading : From Idea to Cloud Deployment - Yves Hilpisch
Learning Spark : Lightning-Fast Data Analytics - Jules S. Damji

FREE SHIPPING

RRP $152.00

$69.35

54%
OFF
Learning Algorithms : A Programmer's Guide to Writing Better Code - George Heineman
Principles of Concurrent and Distributed Programming : 2nd Edition - M. Ben-Ari
Unicode Explained : O'Reilly Ser. - Jukka K. Korpela

RRP $114.00

$47.95

58%
OFF
Algorithms For Dummies : 2nd edition - John Paul Mueller

RRP $49.95

$34.75

30%
OFF
Mazes for Programmers - Jamis Buck

RRP $72.25

$31.75

56%
OFF
Algorithms in a Nutshell, 2e : In a Nutshell - George Heineman

RRP $114.00

$51.25

55%
OFF
Mastering Algorithms with Perl : OREILLY - Jon Orwant

RRP $76.00

$33.25

56%
OFF
Programming Collective Intelligence : O'Reilly Ser. - Toby Segaran

Popular Searches