Tidy Tuesday week 16 2025: Fatal Car Crashes in the US
This week’s data was kind of cool. It was meant to focus on the fatalities associated with 4/20 (which always […]
This week’s data was kind of cool. It was meant to focus on the fatalities associated with 4/20 (which always […]
Back to a classic dataset this week. 🔗 Gallery
This week I played around with a different take on the doughnut chart using geom_arc from ggforce. 🔗 Github
This is a pretty cool data set. There are quite a few things to look into with a number of […]
This week we looked at the words within Amazon’s Annual reports. References to “AI” really boomed in 2023. 🔗 Github
This week, we looked at palm trees from the {palmtrees} package. This was a quick one. 🔗 code
This week we looked at Pixar films. Relatively small data set but a lot you could do with it. I […]
Well, I decided to get back into Tidy Tuesday, for a while at least. This week, we’re looking at Himalayan […]
This one rounds out another full year of Tidy Tuesday. A quick one looking at the number of lines of […]
Catching up on the lead-up to the holiday break. This was a quick one looking at the ratings of The […]
Approaching the holiday season, we’re looking at Christmas / holiday movies. This list was curated to movies that include the […]
This week we’re looking at life expectancy across the globe. I wanted to look at the data holistically across each […]
This week we’re looking at Doctor Who episode data compiled by Jonathan Kitt. This was a quick one charting the […]
This week I played around with {ggpattern}. Very cool package. I looked at the number of events that were held […]
Looking at Diwali sales this week. Diwali is all about lights so I decided to represent the data in a […]

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