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Statistics Playbook - Doug Turnbull - Bog

Bag 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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  • Sprog:
  • Ukendt
  • ISBN:
  • 9781633438682
  • Indbinding:
  • Hardback
  • Sideantal:
  • 672
  • Udgivet:
  • 9. februar 2024
  • Størrelse:
  • 191x40x234 mm.
  • Vægt:
  • 1234 g.
  • 8-11 hverdage.
  • 9. december 2024
På lager

Normalpris

  • BLACK WEEK

Medlemspris

Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af 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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