If you're based in Edinburgh(-ish), come along on Thursday 15th May to the @EdinbR meetup!

I'll be chatting about interactive charts in #RStats (and beyond!) Jordan Richards will also be chatting about fast Bayesian inference (so I guess that also makes it a mini STOR-i CDT reunion as well!)

Register: https://www.meetup.com/edinbr/events/307742291

This is a fascinating #dataviz of taxation rates in different European countries. Hungary has a brutal flat rate across income brackets.

https://www.datawrapper.de/blog/progressive-tax-rates-europe

My collection of monthly #Arctic temperature graphics have just been updated through April 2025: https://zacklabe.com/arctic-temperatures/

Prima #Infografik von @katapultmagazin zur #Kanzlerwahl.

#Merz ist der erste Regierungschef der Bundesrepublik, der auf Anhieb keine Mehrheit im Bundestag hinter sich bringen konnte. Und auch sein Ergebnis im zweiten Wahlgang ist ziemlich schwach.

For #TidyTuesday this week, we're looking at data on terminations of NSF grants

Using colour to highlight one category
Transparency to highlight the important data
Annotations instead of a legend for transparency

Code: https://github.com/nrennie/tidytuesday/tree/main/2025/2025-05-06

Curator: @noamross
https://DSLC.io welcomes you to week 18 of #TidyTuesday! We're exploring National Science Foundation Grant Terminations under the Trump Administration!

https://tidytues.day/2025/2025-05-06
https://www.nytimes.com/2025/04/22/science/trump-national-science-foundation-grants.html

Submit a dataset! https://github.com/rfordatascience/tidytuesday/blob/main/.github/CONTRIBUTING.md

Predicting the extent of invasive Buffelgrass is important for its management. Travis Matlock, a runner-up in the @uazlibraries 2024 #DataVisualization Challenge, in collaboration with the USA NPN, created an informative map that tracks rainfall "events" over a 30-day period to forecast buffelgrass green-up 1–2 weeks in advance. Check out the map here: https://doi.org/10.25422/azu.data.25705419
Travis Matlock (2024). CC-BY 4.0. #OpenData #OpenScience #DataViz #buffelgrass #climatedata #UniversityofArizona

From 1841, a fine example of the rapidly changing West and its sprawling territories. Shows the intended permanent Indian lands of the central plains, which wouldn't last a decade

Also a funny data visualization cheat. If you have a large "Unexplored Region" mask your ignorance by adding a distance chart.

Can AI erase the tedium of managing digital collections without also erasing what makes them distinctive? Find out in this recording of last month's webinar with Sara and Ben Brumfield of FromThePage, who explore the good, bad, and ugly of AI in archives.

https://digitalcuration.umaine.edu/teleconferences/dig_brumfield_teleconf_2025.html

ICYMI - my first take on a timeline of global change. More at https://zacklabe.com/climate-viz-of-the-month/

It's the last day of the #30DayChartChallenge, and the final prompt is "National Geographic Theme" so here's my first and only map created for the challenge!

Made with #RStats
Colours inspired by National Geographic logo
{ggpattern} to use striped areas for missing data

This is amazing! #NeilHalloran, possibly my most favorite data storyteller on YouTube, has created another video about the eradication of #smallpox.

https://youtu.be/ybVZ7vluYhQ

P.S. If you’re not familiar with his work, watch his World War II video.

“The fundamentals of data storytelling with John Burn-Murdoch”, chief data journalist at the Financial Times. First in a 3-part free webinar series from Flourish, May 14 10-11 am EDT.
https://www.eventbrite.co.uk/e/the-fundamentals-of-data-storytelling-with-john-burn-murdoch-tickets-1328295109429
#dataviz #ddj

World military spending hit a record $2.7 trillion in 2024, up 9.4% — the sharpest rise since 1988. Spending rose across all regions for the 2nd year running. Where does India stand, and what does this arms race mean for the global economy? Today's Number Theory explores this in detail.

Read on HT app: https://www.hindustantimes.com/editors-pick/understanding-global-military-expenditure-number-theory-101745894911408.html

#Defense #MilitarySpending #Military #SIPRI #US #China #Ukraine #India #Germany #Russia #DataViz @mastodonindians #MastIndia

Catching up on Day 24 of the #30DayChartChallenge where the prompt is using data from the World Health Organization

Tried an experimental way to visualise two variables, where lower values are better for both
Area shrinking towards zero indicates improvement
Think this would work better if there's a more natural scaling between two variables

Added a new convenience transducer for clipping and binning values, e.g. as preparation step for histogram generation whilst working in the REPL. New release forthcoming. A small code example attached (actually taken from the doc string of the new `binned()` transducer).

For Day 23 of the #30DayChartChallenge, the prompt is "Log scale"

(Technically, this isn't actually a log scale but I wanted to play around with the idea of giving the more recent, more densely located data points more space)