For #TidyTuesday Week 3 (The History of Himalayan Mountain Expeditions), I chose to make a bar chart for the top 15 countries, based on number of claimed expeditions completed

I found this a good excuse to learn how to add country flags to a chart (as well as learn about the "countrycode" package)

For #TidyTuesday Week 2 (posit::conf talks) I chose to make word clouds from presentation abstracts for the 2023 and 2024 conferences. To do so, I primarily relied on the Tidytext & Wordcloud2 packages.

Code is available here: github.com/dunldj/Tidy-...

I appreciate any feedback!
#rStats #DataViz

Thanks! And that's a fair point. Honestly, I kind of forgot how to separate things out by sex and cancer type without it grouping weird. But I've mucked around and figured it out. Here's an updated version with less going on in the background.

Code: Additional code added in the original link

For my first #TidyTuesday of 2025 (Week 1-Bring your own data), I chose to visualize cancer incidence in the U.S. using data from the National Cancer Institute’s SEER Program. I chose the 4 most common cancers and attempted to visualize their incidence by sex, for years 1975-2021.

#RStats #DataViz