Utvidet returrett til 31. januar 2025

Statistics Playbook

Om Statistics Playbook

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 reader Requires a beginning knowledge of basic statistics concepts. No advanced knowledge of statistics, machine learning, R - or basketball - required.

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  • Språk:
  • Ukjent
  • ISBN:
  • 9781633438682
  • Bindende:
  • Hardback
  • Sider:
  • 672
  • Utgitt:
  • 9. februar 2024
  • Dimensjoner:
  • 191x40x234 mm.
  • Vekt:
  • 1234 g.
  • BLACK NOVEMBER
  På lager
Leveringstid: 4-7 virkedager
Forventet levering: 5. desember 2024

Beskrivelse av Statistics Playbook

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 reader Requires a beginning knowledge of basic statistics concepts. No advanced knowledge of statistics, machine learning, R - or basketball - required.

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