R Visualizations Derive Meaning From Data | Statistics

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 less R 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 Ph D 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 less R package has been in development since 2009. |R Visualizations Derive Meaning from Data | Statistics