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Statistics Slam Dunk: Statistical analysis with R on real NBA data is an interesting and engaging how-to guide for statistical analysis using R. It is packed with practical statistical techniques, each demonstrated using real-world data taken from NBA games. In each chapter, you will discover a new (and sometimes surprising!) insight into basketball, with careful step-by-step instructions on how to generate those revelations. You will get practical experience cleaning, manipulating, exploring, testing, and otherwise analysing data with base R functions and useful R packages. R's visualisation capabilities shine through in the book's 300 visualizations, and almost 30 plots and charts including Pareto charts and Sankey diagrams. Much more than a beginner's guide, this book explores advanced analytics techniques and data wrangling packages. You will find yourself returning again and again to use this book as a handy reference!
About the readerRequires a beginning knowledge of basic statistics concepts. No advanced knowledge of statistics, machine learning, R - or basketball - required.
Statistics Slam Dunk: Statistical analysis with R on real NBA data is an interesting and engaging how-to guide for statistical analysis using R. It is packed with practical statistical techniques, each demonstrated using real-world data taken from NBA games. In each chapter, you will discover a new (and sometimes surprising!) insight into basketball, with careful step-by-step instructions on how to generate those revelations. You will get practical experience cleaning, manipulating, exploring, testing, and otherwise analysing data with base R functions and useful R packages. R's visualisation capabilities shine through in the book's 300 visualizations, and almost 30 plots and charts including Pareto charts and Sankey diagrams. Much more than a beginner's guide, this book explores advanced analytics techniques and data wrangling packages. You will find yourself returning again and again to use this book as a handy reference!
About the readerRequires a beginning knowledge of basic statistics concepts. No advanced knowledge of statistics, machine learning, R - or basketball - required.
Gary Sutton is a vice president for a leading financial services company. He has built and led high-performing business intelligence and analytics organizations across multiple verticals, where R was the preferred programming language for predictive modelling, statistical analyses, and other quantitative insights. Gary earned his Undergraduate Degree from the University of Southern California, a Masters from George Washington University, and a second Masters in Data Science, from Northwestern University.
Erscheinungsjahr: | 2024 |
---|---|
Fachbereich: | Programmiersprachen |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9781633438682 |
ISBN-10: | 1633438686 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Turnbull, Doug
Irwin, Max Grainger, Trey |
Hersteller: | Manning Publications |
Maße: | 234 x 191 x 40 mm |
Von/Mit: | Doug Turnbull (u. a.) |
Erscheinungsdatum: | 09.02.2024 |
Gewicht: | 1,234 kg |
Gary Sutton is a vice president for a leading financial services company. He has built and led high-performing business intelligence and analytics organizations across multiple verticals, where R was the preferred programming language for predictive modelling, statistical analyses, and other quantitative insights. Gary earned his Undergraduate Degree from the University of Southern California, a Masters from George Washington University, and a second Masters in Data Science, from Northwestern University.
Erscheinungsjahr: | 2024 |
---|---|
Fachbereich: | Programmiersprachen |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9781633438682 |
ISBN-10: | 1633438686 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: |
Turnbull, Doug
Irwin, Max Grainger, Trey |
Hersteller: | Manning Publications |
Maße: | 234 x 191 x 40 mm |
Von/Mit: | Doug Turnbull (u. a.) |
Erscheinungsdatum: | 09.02.2024 |
Gewicht: | 1,234 kg |