Blog

Blog about all things R, data science, and visualisation.

Working with colours in R

Whether you’re building data visualisations or generative art, at some point you will likely need to consider which colours to use in R. This blog post describes different ways to define colours, how to make good choices about colour palettes, and ways to generate your own colour schemes.

January 10, 2025

Introducing the {messy} package

The {messy} R package takes a clean dataset, and randomly adds mess to create data more similar to that which you’d find in the real world. This is an easy way for educators to create data sets that give students the opportunity to practice their data wrangling skills without having to change all of their examples.

December 3, 2024

Getting comfortable talking about tech

A blog post about some of the things that have helped me in getting comfortable talking about tech (although hopefully some of the advice is also useful for non-tech talks!).

November 5, 2024

Parameterized plots and reports with R and Quarto

After running the ‘Parameterized plots and reports with R and Quarto’ workshop as part of the R/Pharma 2024 Conference, there were a few questions that we didn’t get the chance to answer. This blog post aims to answer some of them.

October 28, 2024

Getting started with generative art

There are many reasons why learning about generative art can be beneficial for data scientists. This blog post will explain what generative art is, where to find some inspiration, and how to start creating your own generative art systems.

October 1, 2024

Five ways to improve your chart axes

A poor choice of axes for your chart can make it more difficult to understand, and in some cases, suggest misleading conclusions. In this blog post, we’ll look at five ways to make better choices about your axes and stop relying on default settings.

September 3, 2024