R Cookbook by JD Long

Author:JD Long
Language: eng
Format: epub
Publisher: O'Reilly Media
Published: 2019-07-15T16:00:00+00:00

data(Cars93, package = "MASS") ggplot(Cars93, aes(MPG.city, Horsepower)) + geom_point() + facet_wrap( ~ Origin)

Figure 10-26. Cars93 data with facet

The resulting plot reveals a few insights. If we really crave that 300-horsepower monster, then we’ll have to buy a car built in the USA; but if we want high MPG, we have more choices among non-USA models. These insights could be teased out of a statistical analysis, but the visual presentation reveals them much more quickly.

Note that using facet results in subplots with the same x- and y-axis ranges. This helps ensure that visual inspection of the data is not misleading because of differing axis ranges.

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