R Visualizations

Derive Meaning from Data

David Gerbing (Portland State University, WA)

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English

Chapman & Hall/CRC
13 December 2021

Probability & statistics; Computing: general; Mathematical & statistical software; Computer science

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.

By: David Gerbing (Portland State University WA)
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 280mm, Width: 210mm,
Weight: 980g
ISBN: 9781032243276
ISBN 10: 1032243279
Pages: 280
Publication Date: 13 December 2021
Audience: College/higher education , General/trade , Primary , ELT Advanced
Format: Paperback
Publisher's Status: Active

1. R, Data and Visualizations. 2. R Visualization Quick Start. 3. Customization. 4. Visualize the Distribution of a Categorical Variable. 5. Visualize the Distribution of a Continuous Variable. 6. Visualize the Distributions of Values over Time. 7. Visualize Spatial Data with Maps. 8. Visualize Three Dimensions. 9 Visualize Dimensionality Reduction. 10. Interactive Visualizations.

David W. Gerbing has a Quantitative Methods B.A. from Western Washington State College, and M.A. from Michigan State University, and a Ph.D. from Michigan State University. Dr. Gerbing teaches statistics, quantitative methods, and business research techniques. His research interests are in the areas of quantitative analysis, multivariate statistics, and behavioral measurement and assessment. Currently his primary interest is in the increasing the accessibility of the R programming language for data science so that non-programmers can access the free, open source data analysis system without a steep learning curve.

Reviews for R Visualizations: Derive Meaning from Data

'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