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An Introduction to R: Data Analysis and Visualization

An Introduction to R: Data Analysis and Visualization

An Introduction to R: Data Analysis and Visualization
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An Introduction to R: Data Analysis and Visualization Paperback - 2023

by Gardener, Mark

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Details

  • Title An Introduction to R: Data Analysis and Visualization
  • Author Gardener, Mark
  • Binding Paperback
  • Condition New
  • Pages 384
  • Volumes 1
  • Language ENG
  • Publisher Pelagic
  • Publication date 2023-05-23
  • Illustrated Yes
  • Features Illustrated, Index
  • Bookseller's Inventory # 44664563
  • ISBN 9781784273385 / 1784273384
  • Weight 1.36 lbs (0.62 kg)
  • Dimensions 9.61 x 6.69 x 0.8 in (24.41 x 16.99 x 2.03 cm)
  • Category Computers - Data Base Management
  • Library of Congress subjects Statistics, Information visualization
  • Library of Congress Catalogue Number 2023513140
  • Dewey Decimal Code 001.422
  • Quantity available 2

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From the publisher

The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. A huge open-source project, R has become enormously popular because of its power and flexibility. With R you can organise, analyse and visualise data. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science.

Learning about data is important in many academic and business settings, and R offers a potent and adaptable programming toolbox. The book covers a range of topics, including: importing/exporting data, summarising data, visualising data, managing and manipulating data objects, data analysis (regression, ANOVA and association among others) and programming functions. Regardless of your background or specialty, you'll find this book the perfect primer on data analysis, data visualisation and data management, and a springboard for further exploration.

About the author

Mark Gardener is a self-employed scientist and consultant, with a PhD in ecology. Currently, he provides data analysis and consultancy across a wide range of disciplines. Mark specialises in the use of the R Project for Statistical Computing.

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