#TidyTuesday but a day late 😂 This was a fun map to make in #RStats and there's so much you can do with this data!! I ran out time after fiddling around trying to make a fancy subtitle with city names colored to match their nodes and edges. My dream was find the longest trail (starting from my city) from one #sistercity to its #twinnedcity but...lol...no time for that!

I have not done #TidyTuesday for a long time, and this was both fun and challenging! Given my interest in #FiberArts I explored #yarn production in Italy, 1936-1985. Don't be deceived! The massive spike on the right is still only a tiny amount of yarn produced before and after the war #DataViz #RStats #📊 Of course, these colors are Italian flag inspired, and hopefully easily discernible by everyone. HARDEST PART: getting the magick layout right 😵‍💫 and the fonts could be bigger...next time...

As a fan of #iNaturalist, I decided to dig into the data regarding three pests impacting our local landscape. It's wild to see how two insects and one tiny nematode are reshaping the Northeast. Big thanks to #VermontPublic for the inspiration to visualize this! 🌳#CitSci #Vermont #Rstats It would be fun to layer on areas of heavy rain, flooding, and drought as these #climatecrisis conditions exacerbate tree mortality. Code and larger map in Github/viz 🪲

Simultaneously really ambitious and a bit spooky. For me, the little 'feet' give it an unexpected edge of danger #fiberarts #knitting #wool #textileart https://www.thisiscolossal.com/2026/04/nicola-turner-times-scythe-yorkshire-sculpture-park-installation/

Will AI-led interviews help mitigate fatigue, and what does this massive dataset imply about thematic saturation? This effort collected >112k interviews, and only ~80k met quality standards, which is a staggering number of interviews discarded #evaluation #datause https://www.anthropic.com/features/81k-interviews

My #30DayChartChallenge Day 4 entry, "The Space Divide: Minimum Chimp Habitat in Zoos and the Wild," looks at the "big or small" theme by comparing minimum cage sizes for #chimpanzees to their expansive natural habitats 🐵 I said I'd use Python but this is #Rstats and sadly I just couldn't get the facet chart I had in my mind to work within the time I have 😂

Diving into #Vermont wildlife for the #30DayChartChallenge "circle" day! 🦌 Using #Python & #plotly to compare monthly #Moose and #BlackBear sightings 🐻 Data wrangled with #BigQuery and #SQL. Any guesses which animal is seen more consistently throughout the year? 😜 #DataViz #Wildlife #RadialChart

Menacing upward trend alert! ⚠️ Day 2 of #30DayChartChallenge focuses on "slope," and #spottedlanternfly observations on #iNaturalist paint a concerning picture. This #invasivespecies (#Lycormadelicatula), highlighted in my #Rstats infographic (back to Python tomorrow 🐍), poses a threat to our trees. Join #citizenscientists and report any sightings to help track this pest! #HitchHikerBug #DataViz #Ecology

#30DayChartChallenge let's go! This #dataviz was for a bit of #Python practice, and I could *not* have sorted out the non-linear gradient for 1 > n > 0 without #claudeai. Made with #seaborn and patience 🎨 #FractionArt #ColorfulMath #PythonDataViz #FractionFunhouse

I used #rstats to create this map of Uganda that shows distribution of various types of health services. The data are from #HumanitarianDataExchange (HDX) but I struggled with the regions (adm1) and districts (adm3) as they don't quite line up. The pharmacies form intriguing clusters in the NW and SW on the border with the DRC. As always, I wish I had heaps more time to work on this map! 🗺️ #30DayMapChallenge