This is part 2 of a 3-part tutorial on ggplot2, an aesthetically pleasing (and very popular) graphics framework in R. This tutorial is primarily geared towards those having some basic knowledge of the ...

Please note that code in this tutorial was adapted from Chapters 3 of the book "R for Data Science" by Hadley Wickham and Garrett Grolemund. The full book can be found at: https://r4ds.had.co.nz/# A ...

Prerequisite: Introduction to Data Visualization in R or moderate experience using R. Learn how to create advanced visualizations in R with the ggplot2 package. We will learn the Grammar of Graphics, ...

Sharing, presenting, and publishing life sciences results requires to perform statistics and to make figures. A combination of large data sets, performing the right statistics and being able to code ...

Note the column name, mpg, is unquoted. That feature hasn’t been handy, though, if you want to write your own R functions using the tidyverse. That’s because base R functions usually need quoted ...

In the R programming language, the de facto standard framework for drawing rectangular coordinates is ggplot2. The most important feature of ggplot2 is that it is object-oriented and uses the plus ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Creating informative and digestible data visualizations is a foundational aspect ...