A system for declaratively creating graphics, based on "The Grammar of Graphics". You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and …

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 …

All ggplot2 plots begin with a call to ggplot(), supplying default data and aesthetic mappings, specified by aes(). You then add layers, scales, coords and facets with +. To save a plot to …

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

The point geom is used to create scatterplots. The scatterplot is most useful for displaying the relationship between two continuous variables. It can be used to compare one continuous and …

There are two types of bar charts: geom_bar() and geom_col(). geom_bar() makes the height of the bar proportional to the number of cases in each group (or if the weight aesthetic is …

Customising how aesthetic specifications are represented on your plot.

These are complete themes which control all non-data display. Use theme() if you just need to tweak the display of an existing theme.

By default, ggplot2 expands the scale by 5% on each side for continuous variables and by 0.6 units on each side for discrete variables. To keep the default expansion on top while removing …

By default ggplot2 expands the axes so the geoms aren’t flush against the edges of the plot. To remove the spacing between the bars and the x-axis, but keep the spacing between the bars …