In the 2008 recession, both diesel & gasoline were volatile, but gasoline swung more. During COVID, gasoline became even more volatile, while diesel stayed smoother—maybe due to its essential-service role vs. gasoline's link to personal travel.
#TidyTuesday #RStats #ggplot2 #data #fuel #energy

Intriguing inverse depth/magnitude pattern from 8am–12pm in this #TidyTuesday dataset by @libbyheeren.bsky.social. Shallower AM quakes = higher PGAs? Next: overlay PGA data to link seismic behaviour to structural risk.

github.com/jjm148/tidyt...

#DataViz #R4DS #RStats #Tidyverse #Resilience #Civil

My #TidyTuesday entry this week: a tf-idf breakdown of key terms across rooms at #useR2025!

This should give attendees a sneak peek into the themes and topics covered in each session room.

github.com/jjm148/tidyt...

#Rstats #ggplot2 #Tidyverse #dataviz

🚗💥 Is 4/20 more deadly?
Using #TidyTuesday data on U.S. car crash fatalities (1992–2016), I explored whether April 20 stands out.
🔍 Tile plot compares each April day to the yearly average.
📊 Code: github.com/jjm148/tidyt...

#rstats #dataviz #ggplot2 #DataVisualization #DataScience #easter #April20

Didn't realize the media limit—here are the starter Pokémon from Gen 5 to 7 for my #TidyTuesday viz

#rstats #r4ds #tidyverse #ggplot #dataviz #pokemon

My #TidyTuesday entry for this week - so much nostalgia!

I explored the base stats of the starter Pokémon from Gen 1 to 7. Thanks to Frank Hull who curated this dataset!

github.com/jjm148/tidyt...

PS: Swampert is the GOAT. Mudkip supremacy forever. 💙

#rstats #tidyverse #dataviz #r4ds #pokemon

I'm excited to share my first #TidyTuesday entry!

Text Data From Amazon's Annual Reports, curated by Gregory Vander Vinne

github.com/jjm148/tidyt...

#RStats #DataViz #Tidyverse #ggplot2 #r4ds