English | 2020 | ISBN: 978-1138599635 | 249 Pages | PDF, EPUB | 25 MBR 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.