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
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. …
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 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()), …
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.
2 First steps – ggplot2: Elegant Graphics for Data Analysis (3e)
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 …
Introduction to ggplot2
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.