It’s hard to succinctly describe how ggplot2 works because it embodies a deep philosophy of visualisation. However, in most cases you start with ggplot(), supply a dataset and aesthetic …

ggplot (mpg, aes (cty, hwy, colour = class)) + geom_point + scale_colour_viridis_d () Facets It is a powerful tool to quickly split up the data into smaller panels, based on one or more variables, …

plotly: turn your ggplot interactive Another awesome feature of ggplot2 is its link with the plotly library. If you know how to make a ggplot2 chart, you are 10 seconds away to rendering an …

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 …

ggplot(data = mpg, aes(x = cty, y = hwy)) Begins a plot that you finish by adding layers to. Add one geom function per layer. qplot(x = cty, y = hwy, data = mpg, geom = “point") Creates a …

It’s hard to succinctly describe how ggplot2 works because it embodies a deep philosophy of visualisation. However, in most cases you start with ggplot(), supply a dataset and aesthetic …

May 2, 2025 · To save and extract plots in R, you can use the ggsave function from the ggplot2 package. In this example , We used ggplot to construct a plot and the ggsave function to save …

On 21 December 2015, ggplot 2.0.0 was released. In the announcement, it was stated that "ggplot2 now has an official extension mechanism. This means that others can now easily …

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 …

CUSTOMIZATION. The ggplot2 package allows customizing the charts with themes. It is possible to customize everything of a plot, such as the colors, line types, fonts, alignments, among …