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Statistics Slam Dunk.
- Format:
- Book
- Author/Creator:
- Sutton, Gary.
- Language:
- English
- Subjects (All):
- Basketball--Statistical methods--Computer programs.
- Basketball.
- R (Computer program language).
- Statistics--Computer programs.
- Statistics.
- National Basketball Association--Statistical methods--Computer programs.
- National Basketball Association.
- Physical Description:
- 1 online resource (488 pages)
- Edition:
- 1st ed.
- Place of Publication:
- New York : Manning Publications Co. LLC, 2024.
- Summary:
- 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. 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.
- Contents:
- Getting started
- Exploring data
- Segmentation analysis
- Constrained optimization
- Regression models
- More wrangling and visualizing data
- T-testing and effect size testing
- Optimal stopping
- Chi-square teting and more effect size testing
- Doing more with ggplot2
- K-means clustering
- Computing and plotting inequality
- More with Gini coefficients and Lorenz curves
- Intermediate and advanced modeling
- The Lindy effect
- Randomness versus causality
- Collective intelligence
- Statistical dispersion methods
- Data standardization
- Finishing up.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Includes index.
- ISBN:
- 9781638355809
- 1638355800
- OCLC:
- 1420629224
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