This blog post explains the process of manipulating images using {imager} in R, processing pixel data, and using it to create a new version of an image that looks like it was printed with a typewriter!

The plotnine visualisation library brings the Grammar of Graphics to Python. This blog post walks you through the process of creating a customised, annotated area chart of coal production data.

{PrettyCols} is an R package containing aesthetically pleasing colour palettes that are compatible with {ggplot2}. Find out about new features and palettes contained in the latest release!

An alternative to a traditional legend is using coloured text in a subtitle. In {ggplot2}, we can do this using the {ggtext} package. You can also do it using the new {marquee} package. How do they compare?

Combining parameterised reporting with conditional content in Quarto, makes it easy to create multiple versions of R tutorial worksheets - a questions worksheet for students, and a solutions worksheet for students to take home.

Waffle charts can be used to visualise counts or percentages of categorical data. This blog post describes a slightly unusual solution to creating sketchy looking waffle charts in R using the {sf} and {roughsf} packages.