Looking at Data – Graphs
Cambridge University Press eBooks2017pp. 85–125
Abstract
Tables of counts and statistical summaries are quick and compact ways to begin exploring a new data set, but they are limited. To really visualize data distributions and the relationships among variables, we need charts and graphs. R has extensive graphic capabilities including the standard pie charts, bar charts, histograms, box-and-whisker plots, and scatter plots. Newer methods such as dot plots, kernel density plots, violin plots, and ways of representing three or more variables simultaneously are also available.