R for Data Science is designed to give you a comprehensive introduction to the tidyverse, and these two chapters will get you up to speed with the essentials of ggplot2 as quickly as possible.

ggplot2 is an R package for producing visualizations of data. Unlike many graphics packages, ggplot2 uses a conceptual framework based on the grammar of graphics. This allows you to ‘speak’ a graph …

ggplot() initializes a ggplot object. It can be used to declare the input data frame for a graphic and to specify the set of aesthetic mappings for the plot, intended to be common throughout all subsequent …

Thus, ggplot2 will by default try to guess which orientation the layer should have. Under rare circumstances, the orientation is ambiguous and guessing may fail. In that case the orientation can …

To create your own geoms, stats, scales, and facets, you’ll need to learn a bit about the object oriented system that ggplot2 uses. Start by reading vignette("extending-ggplot2") then consult these functions …

Run vignette("ggplot2-specs") to see an overview of other aesthetics that can be modified. Other aesthetics documentation: aes(), aes_colour_fill_alpha, aes_group_order, aes_position

alt, alt_insight Text used for the generation of alt-text for the plot. See get_alt_text for examples. alt can also be a function that takes the plot as input and returns text as output. alt also accepts rlang …

Thus, ggplot2 will by default try to guess which orientation the layer should have. Under rare circumstances, the orientation is ambiguous and guessing may fail. In that case the orientation can …

# This is useful if you want to match scales across different plots small <- subset (mtcars, cyl == 4) big <- subset (mtcars, cyl > 4) ggplot (small, aes (mpg, wt, colour = factor (cyl))) + geom_point () + …

Thus, ggplot2 will by default try to guess which orientation the layer should have. Under rare circumstances, the orientation is ambiguous and guessing may fail. In that case the orientation can …