This approximately three hour workshop gives an introduction the ggplot2 package for newcomers to the R. Participants are immediately taught to work with R markdown so that it becomes a natural part ...

Creating engaging and accessible data visualizations of high quality in an efficient and preferably reproducible way is an essential tool in a data scientist's toolbox. After completing the course, ...

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 ...

For everything from styling text and customizing color palettes to creating your own geoms, these ggplot2 add-ons deserve a place in your R data visualization toolkit. Plus, a bonus list of packages ...

There’s a reason ggplot2 is one of the most popular add-on packages for R: It’s a powerful, flexible and well-thought-out platform to create data visualizations you can customize to your heart’s ...

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 ...

Some of my colleagues think of me as super data-sciencey compared to other academic statisticians. But one place I lose tons of street cred in the data science community is when I talk about ggplot2.