However, in most cases you start with ggplot(), supply a dataset and aesthetic mapping (with aes()). You then add on layers (like geom_point() or geom_histogram()), scales (like scale_colour_brewer()), …

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 interactive version. …

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 it takes …

ggplot(mpg, aes(y = fl)) + geom_bar(): Flip Cartesian coordinates by switching x and y aesthetic mappings. u + coord_polar(theta = "x", direction = 1): theta, start, direction.

Feb 21, 2026 · The gridExtra package helps arrange multiple ggplot objects into a structured grid layout. Combines multiple plots into a single display. Helps compare distributions of different variables …

Nov 24, 2025 · A curated ggplot2 hub for R. Learn geoms, axes/scales, labels/annotations, themes, faceting, colors, and saving plots—each with working code and examples.

However, in most cases you start with ggplot(), supply a dataset and aesthetic mapping (with aes()). You then add on layers (like geom_point() or geom_histogram()), scales (like scale_colour_brewer()), …

Exports:.data.expose_data.ignore_data.pt.stroke %+% %+replace% add_gg aes aes_ aes_all aes_auto aes_q aes_string after_scale after_stat alpha annotate annotation_borders annotation_custom …

Aug 5, 2019 · In accordance with the basic elements, a default ggplot needs three things that you have to specify: the data, aesthetics, and a geometry. We always start to define a plotting object by calling …

As the first step in many plots, you would pass the data to the ggplot() function, which stores the data to be used later by other parts of the plotting system.