Around the beginning of December social media accounts start to fill with images of people’s Spotify Wrapped showing their most listened to songs. If you’re an #RStats user, you might also be interested in which functions you use most often. This blog post will show you how to create … Continue reading →

The #30DayMapChallenge is a daily mapping, cartography, and data visualization challenge aimed at the spatial community. Every day in November participants create a map with a given theme (e.g. red, movement, two colours) and share their results on social media using the #30DayMapChallenge hashtag. … Continue reading →

Let’s say you need to understand how your data changes within a day, and between different days. For example, if you have hourly pollution data that follows a regular pattern throughout a day, but follows different patterns on a Wednesday and Saturday. Functional analysis is one approach of … Continue reading →

A little while ago I saw this blog post by Craig Hamilton shared on Twitter. In it, he describes the process of building a Shiny app to search through his favourited tweets, after noting the difficulty of searching through tweets he had liked to find a link he wanted to look at later. Inspired by … Continue reading →

Making plots that are aesthetically pleasing has always been an important aspect of data visualisation to me. And when I later started creating generative art, I would spend time choosing colours purely based on whether they looked good together. On whether they made art that was pretty. … Continue reading →

I’ve been contributing to #TidyTuesday challenges for about two years now, and my aim has always just been to play with new things in R. (For those of you unfamiliar with #TidyTuesday, it’s a weekly data project aimed at helping people develop their data wrangling and visualisation … Continue reading →

After a long run in the Forest of Bowland when visiting Lancaster for a few days, I decided to try out the {rStrava} package to make some maps of where I’d been. This tutorial blog will walk through the process of getting the data from Strava, making the map, and animating it with … Continue reading →

I recently gave a talk to R-Ladies Nairobi, where I discussed the #30DayChartChallenge. In the second half of my talk, I demonstrated how I created the Goldilocks Decision Tree flowchart using {igraph} and {ggplot2}. This blog post tries to capture that process in words. Such an informative … Continue reading →

One of my goals for 2021 was to participate in the #TidyTuesday challenge on a regular basis. This blog post reflects on the past year of data visualisations. For those of you who don’t know, #TidyTuesday is a weekly data challenge aimed at the R community. Every week a new dataset is posted … Continue reading →

Earlier this week, whilst curating for @ WeAreRLadies, I tweeted a thread on my thought process for this week’s #TidyTuesday challenge. This blog post expands on the thoughts in this aforementioned thread: It can be a little bit scary to make your first (or any) contribution to #TidyTuesday … Continue reading →

The #30DayMapChallenge is a daily mapping, cartography, and data visualization challenge aimed at the spatial community. Every day in November participants create a map with a given theme (e.g. population, monochrome, raster) and share their results Twitter using the #30DayMapChallenge hashtag. … Continue reading →