Today's #tidytuesday data was from Netflix, curated by Jen Richmond from RLadies-Sydney #Rladies

Simple line graph where I got to practice re-formatting the axes and adding an annotation with a time-series x-axis :)

This week's #TidyTuesday was data on British library funding, compiled by Andy Jackson @anjacks0n.bsky.social and curated by Jon Harmon @jonthegeek.com. Thank you, @libbyheeren.bsky.social for hosting today!

Mt.Vesuvius Eruption data for this week's #TidyTuesday curated by @libbyheeren.bsky.social !

Learned how to add shading for margin of error by plotting two lines as the upper and lower error bounds, then filling the space between them with an alpha value of 0.45 (to appear sheer)
#pydytuesday

Two birds with one stone, or two challenges with one penguin plot :)
Today's #tidytuesday is Palmer's Penguin data, and since showing all groups in the legend required me to figure out data masking, I'm using it for Day 15 - 'Complicated' of the #30DayChartChallenge

Looking at Pokemon data for #tidytuesday. Took me a bit to figure out how to get the bar colors to get their values from a specific column in the data frame. Eventually used chatgpt to find out how to get the groupings on the x-axis, but I'm less proud of that one so just posting the original

First #TidyTuesday posting is also a #PydyTuesday :)

This week's data came from Amazon's annual reports. I decided to visualize the most common terms in their reports throughout the last 18 years.

Check out the data source here: github.com/rfordatascie...

@vanhollen.senate.gov I hope we don't end up with anything like SB 6002 in Maryland.

wapp.capitol.tn.gov/apps/BillInf...