Create Elegant Data Visualisations Using the Grammar of ...
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()), …
Data visualization with R and ggplot2 | the R Graph Gallery
ggplot2 is the most famous package for data visualization with R. This page offers tip and tricks concerning its usage.
Data visualization with ggplot2 :: Cheat Sheet - GitHub Pages
Geoms Use a geom function to represent data points, use the geom’s aesthetic properties to represent variables. Each function returns a layer. Graphical Primitives a <- ggplot(economics, aes(date, …
CRAN: Package ggplot2
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 …
ggplot2 guide and cookbook (R)
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.
ggplot2 package - RDocumentation
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()), …
The ggplot2 package | R CHARTS
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