In particular, the ggplot2 package is quite popular and worth a look for robust visualizations. ggplot2 requires a bit of time to learn its “Grammar of Graphics” approach.

Several packages aim to streamline ggplot2 so common data visualizations are either simpler or more intuitive. ... How to create your own RAG applications in R. Jul 17, 2025 20 mins. feature.

In this podcast, the speaker will explain about the R graphics Cookbook, the users’ will learn the basics of how to create data graphics using R and the popular ggplot2 package. Visualization is ...

Lesson 3 Basic Visualization. In this tutorial we create basic visualizations (histograms and box plots) using R. The purpose of these basic visualizations is to see the distribution of a particular ...

It can also be a bit difficult to read labels when they’re right on top of the points. geom_text() lets you “nudge” them a bit higher with the nudge_y argument. There’s another built-in ...

This year, my pitch on 5 data visualizations in R in 5 minutes, all in 5 lines of code or less was one of the winning proposals. Here is a version of that talk I recorded in advance.

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Lesson 3 Basic Visualization. In this tutorial we create basic visualizations (histograms and box plots) using R. The purpose of these basic visualizations is to see the distribution of a particular ...