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 …

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 …

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 …

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 …

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 …

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 …

Jul 23, 2025 · The `aes ()` function in ggplot stands for aesthetic mappings. It is used to map variables in your data to visual properties of the plot like position, color, size, shape, etc.

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.