I had the idea to add distributions to my volleyball summary tables today. Thanks to @richmeister.bsky.social's gt, @mjskay.com's ggdist, and @themockup.blog's gtExtras packages! Took awhile but got there eventually!

(note that this is a screenshot of a shiny app so quality is a bit iffy)

#rstats

How do Scottish Mountain classifications change over time?

#tidytuesday #rstats

code: github.com/kevbaer/tidy...

What weather events are being studied in the United States, China, Great Britain, and Australia?

#tidytuesday #rstats

code: github.com/kevbaer/tidy...

This weeks #tidytuesday: How have movies grown and fallen from Jan-Jun of 2024 to Jan-Jun of 2025? #rstats

code: github.com/kevbaer/tidy...

This week's #tidytuesday shows how different British Library Funding has changed over time. #rstats

Better late than never to analyze the biggest pink fan in the #tidytuesday dataset! Very colorful week which I appreciated. Used the fun waffle package. #rstats

code: github.com/kevbaer/tidy...

First ever #tidytuesday somehow?? #rstats

It's been decided

Non-draft eligible stars (>= 95 percentile of players at position)
- Bold means >= 99 percentile
- Tried my best to get years and transfer info

Wrote up a quick all pro list through w14 based on vibes and analytics

#adventofcode day 4 ( #Rstats )

Probably should've combined the line (diag/vert/horiz) into a single string before checking values but it worked.

#adventofcode day 3 ( #rstats )

Pretty straightforward, probably slightly longer than necessary but we move.

FWIW:

PFF has the following for coverage defender role of Spy:

#adventofcode day 2 ( #rstats )

Ended up just brute forcing part 2, need to look over some other peoples work to figure out a smoother way.

Probably should've also avoided the dataframe and went with a vector.

Day 1 of #adventofcode ( #rstats edition )

Really like the work the whole group has done with images like this throughout the tidyverse too: