R Visualizations (e-bog) af Gerbing, David
Gerbing, David (forfatter)

R Visualizations e-bog

348,37 DKK (inkl. moms 435,46 DKK)
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 boo...
E-bog 348,37 DKK
Forfattere Gerbing, David (forfatter)
Udgivet 28 april 2020
Længde 237 sider
Genrer Probability and statistics
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9780429894923
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 FeaturesPresents 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.