Despite midterms, grad school apps, & research, I somehow found time to do #tidytuesday on time this week!! Looking at maximum mean temp. variation in the UK's hottest and coldest weather stations over the last 10 years, & practicing annotation!

🔗: github.com/jkaminags/TidyTuesday

#rstats #dataviz

Suuuper late #tidytuesday - quick plot looking at trends in undernourishment & cereal-based diets around the world!

Code on my github: github.com/jkaminags/TidyTuesday

#rstats #dataviz

This week's #tidytuesday - ridgeline plots with an attempt at spring and autumn-themed color gradients, showing the distribution of crane numbers at Lake Hornborgasjon between 2004 and 2024!

Code at my github as always.

#Rstats #dataviz

last first day at UCSB 🌅

too busy with work stuff for tidytuesday this week… wish I could be my cat sometimes

this week's #TidyTuesday - how has the burden of climate change-related extreme weather events been distributed across continents in the last 10 years?

🔗: [Github code](github.com/jkaminags/Ti...)

#Rstats #dataviz

I heard it’s #InternationalCatDay? heres to my wonderful cat einstein (who is not as smart as his name implies)

super simple shiny app for today's #TidyTuesday: how has post-tax income inequality reduction changed over time for 2020's most & least unequal countries? (really simple graphics, but wanted to practice shiny apps)

code: bit.ly/40U8L45
shiny: jkaminaga.shinyapps.io/ginivisualiz...

#dataviz #Rstats

happy august! I did a little data visualization project this week trying to see what genres of books I've read and liked the most so far in 2025. (if you, like me, are a big fan of scifi + fantasy + dark academia, please give me book recs!)

🔗📚: github.com/jkaminags/bo...

#ggplot2 #dataviz #Rstats

Had the great opportunity to do a #TidyTuesday at work - chose the cheese dataset from 2024 because I'm nothing if not a cheese lover & worked with maps in ggplot for the first time ever! Hoping to upgrade my visualizations in future TidyTuesday events.

🔗: bit.ly/4fgXWyU

#Rstats #ggplot2 #dataviz