A Summer, Explained with R
Published: August 18, 2026.
It's 34°C, your laptop fan is screaming, and you have three more meetings. Here's how to make this summer's UK heatwave data more interesting with R.
Tag: ggplot2
Custom PowerPoints Using {officer}
Published: May 22, 2025.
From a purely design aspect, Quarto's standard output for PowerPoint falls short. You're limited to seven layout options, with the most complicated being "Two Content". The {officer} R package provides a great alternative, for those seeking total control and customisation.
Getting started with theme()
Published: November 23, 2023.
The `theme()` command from {ggplot2} has a lot of arguments. This can be a bit daunting, even for those who are familiar with {ggplot2}! We will walk you through how to modify some aspects of a {ggplot2} theme and give you the confidence to try making your own theme modifications.
Custom colour palettes
Published: June 23, 2022.
Choosing which colours to use in a plot is an important design decision. This blog post will show you how to make a custom colour palette that is compatible with {ggplot2}.
R from the turn of the century
Published: September 20, 2018.
Last week I spent some time reminiscing about my PhD and looking through some old R code. This trip down memory lane led to some of my old R scripts that amazingly still run. My R scripts were fairly simple and just created a few graphs.
Animating the Premier League using {gganimate}
Published: September 2, 2018.
Ever wonder what an evolving gif of each premier league team’s goal difference vs points would look like made in R? Look no further! Most of this is going to be setting up the data (as always) instead of actually plotting the data.
Styling {ggplot2} Graphics
Published: August 21, 2018.
In our previous post, we demonstrated that contrary to popular opinion, it is possible to generate attractive looking plots using just base graphics. Although we did confess, that it did take a lot of time and effort. In this post, we repeat the same exercise.
Our Logo In R
Published: February 1, 2018.
Hi all, so given our logo here at Jumping Rivers is a set of lines designed to look like a Gaussian Process, we thought it would be a neat idea to recreate this image in R. To do so we’re going to need a couple packages. We do the usual install.packages() dance (remember this step can be performed in parallel).
Comparing plotly & ggplotly plot generation times
Published: November 27, 2017.
The {plotly} package. A godsend for interactive documents, dashboard and presentations. For such documents, there is no doubt that anyone would prefer a plot created in {plotly} rather than {ggplot2}. Why? Using {plotly} gives you neat and crucially interactive options at the top, whereas {ggplot2} objects are static.
