Tidy Tuesday week 48: Doctor Who
This week we’re looking at Doctor Who episode data compiled by Jonathan Kitt. This was a quick one charting the […]
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 […]
Confessional counts are highly scrutinised by the Survivor fandom. Fans don’t like seeing their favourites getting “purpled”. My feeling is […]
The Greens are the 3rd major party in Australia. In the US you only hear about the two major parties. […]
Back to my old tricks using {openai} to categorise some text. The claims are the most interesting part of this […]
I didn’t have a lot of time this week so gave myself 30 mins max to get this one done. […]
This week we’re looking at Taylor Swift songs and albums from the {taylor} R package. Don’t know a lot about […]
I loved this week’s theme! The data was a catalog of reported haunted places across the US from old roads […]
On a road trip this week and didn’t have a lot of time for data work so pulled something quick […]
A very fun data set this week from Deepsha Menghani who watched every episode of Ted Lasso at 2x speed […]
This week the data was about R packages on CRAN showing the package description, dependencies, licenses, etc. There were 4 […]
Another great season of Alone has finished. I’ve now included all data in the {alone} R package. Version 0.3 is […]
Interesting data this week from the Human Chronome Project which estimates how we spend our time on average across 8 […]
Every R package needs a hex sticker. Here’s how you can generate one in seconds using generative AI.