Stack Overflow is a great source of answers to common ggplot2 questions. It is also a great place to get help, once you have created a reproducible example that illustrates your problem.

ggplot2 is based on the grammar of graphics, the idea that you can build every graph from the same components: a data set, a coordinate system, and b geoms—visual marks that represent data points. …

ggplot2 builds charts through layers using geom_ functions. Here is a list of the different available geoms. Click one to see an example using it. Annotation is a key step in data visualization.

Jul 23, 2025 · With ggplot2, you can create engaging and informative plots effortlessly. Whether you're a beginner or an experienced programmer, ggplot2's popularity and versatility make it an essential skill …

Aug 20, 2025 · This hub brings together 35 step-by-step ggplot2 tutorials that solve the most common visualization challenges. Whether you want to make titles bold, rotate axis labels, customize legends, …

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()), …

Previously we saw a brief tutorial of making charts with ggplot2 package. It quickly touched upon the various aspects of making ggplot. Now, this is a complete and full fledged tutorial. I start from scratch …

ggplot2 is an R package for producing visualizations of data. Unlike many graphics packages, ggplot2 uses a conceptual framework based on the grammar of graphics. This allows you to ‘speak’ a graph …

It is based on the Grammar of Graphics and its main advantage is its flexibility, as you can create and customize the graphics adding more layers to it. This library allows creating ready-to-publish charts …

This section describes briefly how to use the function ggplot (). Recall that, the concept of ggplot divides a plot into three different fundamental parts: plot = data + Aesthetics + geometry.