Excited to share a new line of our research about how #AI and #dataViz can help us understand and correct cognitive biases.
Kudos to Lauren Chu, Josephine Cimino, George Georges, and Amy Wolgin for informing design, implementation, and future directions!
https://osf.io/rxa2e/overview?view_only=b9f683b4bcdf423786175c4a2bcce571
https://DSLC.io welcomes you to week 16 of #TidyTuesday! We're exploring Global Health Spending!
📁 https://tidytues.day/2026/2026-04-21
🗞️ https://data.one.org/analysis/out-of-pocket-health-burden
Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md
This week's #TidyTuesday data is all about Global Health Spending 💰️
I created a minimalist world map showing the percentage of health spending on preventive care 📊
Notable upticks in 2021 across many countries, higher % overall in African countries, and lots of missing data
Code: https://github.com/nrennie/tidytuesday/tree/main/2026/2026-04-21
#Arctic climate rankings are now updated for March 2026: https://zacklabe.com/archive-2026/. Unfortunately, data is not available for sea-ice volume this month.
The Art of Data Visualization with ggplot2: The #TidyTuesday Cookbook: Chapter 6 "Canadian wind turbines: waffle plots and pictograms" https://youtu.be/brvhDGNRIAY #RStats #DataViz #ggplot2