R Visualizations: Derive Meaning from Data
By 作者:David Gerbing
pages 页数: 249 pages
Publisher Finelybook 出版社: Chapman and Hall/CRC; 1 edition (11 May 2020)
Language 语言: English
Book Description to Finelybook sorting
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 作者:topic and not By 作者: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.
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 作者: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 作者:topic instead of By 作者:system.
Presents the recent work on interactive visualization in R.
2.Visualization Quick Start
3.Visualize a Categorical Variable
4.Visualize a Continuous Variable
5.Visualize the Relation of Two Continuous Variables
6.Visualize Multiple Categorical Variables
7.Visualize over Time
8.Visualize Maps and Networks
R Visualizations Derive Meaning from Data 9781138599635.pdf