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. …

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.

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 …

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.

Plots may be created via the convenience function qplot() where arguments and defaults are meant to be similar to base R's plot() function. [19][20] More complex plotting capacity is available via ggplot() …

The expression variable is evaluated within the layer data, so there is no need to refer to the original dataset (i.e., use ggplot (df, aes (variable)) instead of ggplot (df, aes (df$variable))). The names for x …

Check the full list of charts made with ggplot2 and learn how to customize the plots customizing the axes, the background color, the themes and others

You’ll learn the basics of ggplot() along with some useful “recipes” to make the most important plots. ggplot() allows you to make complex plots with just a few lines of code because it’s based on a rich …