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R Visualizations : Derive Meaning from Data - David  Gerbing

R Visualizations

Derive Meaning from Data

By: David Gerbing

Hardcover | 12 May 2020 | Edition Number 1

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R Visualizations: Derive Meaning from Data focuses on one of the two major topics of data analytics: data visualization, a.k.a., computer graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be shown how to use R to generate any of the basic visualizations with the R visualization systems. Further, this book introduces the author's lessR system, which always can accomplish a visualization with less coding than the use of other systems, sometimes dramatically so, and also provides accompanying statistical analyses.

Key Features

  • Presents thorough coverage of the leading R visualization system, ggplot2.
  • Gives specific guidance on using base R graphics to attain visualizations of the same quality as those provided by ggplot2.
  • Shows how to create a wide range of data visualizations: distributions of categorical and continuous variables, many types of scatterplots including with a third variable, time series, and maps.

  • Inclusion of the various approaches to R graphics organized by topic instead of by system.
  • Presents the recent work on interactive visualization in R.

David W. Gerbing received his PhD from Michigan State University in 1979 in quantitative analysis, and currently is a professor of quantitative analysis in the School of Business at Portland State University. He has published extensively in the social and behavioral sciences with a focus on quantitative methods. His lessR package has been in development since 2009.

Industry Reviews

'Finally, this is an easy- to-read book to begin the data visualization by using R for those who want to start or to develop their background in R for data visualization. It is a good companion to facilitate the use of R for data visualization with less coding than the better known ggplot2 package.'

- Sebastien Bailly, International Society for Clinical Biostatistics, 71, 2021

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