The #30DayMapChallenge is a month-long mapping, cartography, and data visualization challenge aimed at the spatial community. Here are the things I’ve learnt from participating in the challenge for a second time.

Let’s say you need to understand how your data changes within a day, and between different days. Functional analysis is one approach of doing just that so here’s how I applied functional analysis to some air pollution data using R!

This tutorial blog will show you how to use GitHub actions to automatically update a data source and re-deploy a Shiny app, with an example Shiny application which uses {rtweet} to browse R-related tweets.

An introduction to {PrettyCols} - a new R package containing aesthetically pleasing colour palettes that are compatible with {ggplot2}.

If, like me, you mostly scroll through Twitter on your phone, you might want to consider designing your content specifically aimed at people who look at Twitter on their phone. Here’s how to do it in R, with a little help from Quarto.

This tutorial blog will walk through the process of getting data from Strava using {rStrava}, making a map of it, and animating the map with {gganimate}.