Good Read. Great title, by @pinakographos.bsky.social somethingaboutmaps.wordpress.com/2026/07/19/o...
On Sin
To make maps, we must sin against the landscape. We distort the earth’s roundness, and we simplify complex realities down to a series of colors and symbols. Ancient trees become a scattering …
somethingaboutmaps.wordpress.com
New: I spent nine months creating a digital edition of The Naturalist’s Library, William Jardine’s 40-volume 19th-century natural history series. 1,300+ plates restored, 2.4m words, 27 posters, and 1 huge book. Explore: www.c82.net/naturalists-... How it was made: www.c82.net/blog/making-...
Curious about the makeup of the US Supreme Court? Here's a look at it's history usafacts.org/articles/the...
A look a midterm election voting patterns for @usafacts.org usafacts.org/articles/who...
One of the fun parts of my job is working with @amberthomas.bsky.social to make visuals for USAFacts. Here are two I've recently worked on usafacts.org/articles/con... usafacts.org/articles/how... I'm on the lookout for new projects if you want to create a visualization or interactive data tool
having used claude extensively for the past couple of months, i think there is still a lot of value to understanding your code and steering it intentionally. the amount of incidental complexity claude accumulates otherwise (which mostly results in bugs that it can't ever fix reliably) is staggering.
Great article from @scientificdiscovery.dev on why data viz matters and how to do it well www.scientificdiscovery.dev/p/salonis-gu... ht @visualisingdata.com
Saloni's guide to data visualization
Why data visualization matters, and how to make charts more effective, clear, transparent, and sometimes, beautiful.
scientificdiscovery.dev
I identified with all 20 of @parabole.bsky.social's salient learnings www.theplot.media/p/give-me-20
Give me 20
Learnings from a 10 years+ data storytelling journey
theplot.media
I have enjoyed this post by Nikita Prokopov so much, as a Mac user, as a designer, and most of all as a stickler. Lots of takeaways for UI and information designers, starting with "adding an icon to everything is exactly the wrong thing to do".
It’s hard to justify Tahoe icons
Looking at the first principles of icon design—and how Apple failed to apply all of them in macOS Tahoe
tonsky.me
A thread with all my data visualization tips and redesigns. Mainly for my own convenience.
My personal projects are my escape from reality—each one its own little world that rewards slow, diligent work. I enjoy watching them evolve from nothing or a forgotten something into a brand new thing for others to enjoy. I can’t remember a time when I wasn’t making something and I love it.
Nicholas's process is intricate, exacting, and inspiring. That something I made might make its way into it brings me considerable joy.
Nicholas Rougeux@rougeux.bsky.social · 7mo agoThis is sweet and fills a lot of gaps that other tools had. Thank you for making this @obumbratta.com!
New Year, New Colour Tool for you data visualizers and maybe the odd designer obumbratta.com/colour
So glad to hear this. I have many many links that should now be unbroken.
Alberto Cairo@albertocairo.com · last yr.Big news: The archive of my old weblog, The Functional Art, is back online: www.thefunctionalart.com The blog won't be updated anymore, though. In the next 2-3 weeks I'll share some news about resuming the newsletter of my upcoming big project: openvisualizationacademy.org #dataViz #dataVis 📊
Since you folks seem to like lengthy threads, let's look at visualizing distributions. I'll visualize one data set 16 ways and give some other examples of each chart type. #dataViz
Speaking of labyrinthine contortions, though, here's a little thread of some of my favourite viz over the years.
Micah McCurdy @hockeyviz.com · last yr.But, not counting the hydra-like debts that spout up from time to time, I basically got my wish. Thanks everybody, I literally could not have done it without you all.
Woah!! My old animation made it into Joey's mega-thread on animation in visualization. I was shocked to see this! This thread is incredible. It's hard to overstate how informative and impressive the thread is. It's really helpful!
Joey Cherdarchuk - Obumbratta@obumbratta.com · last yr.Or how the read Hotstreak's in Film visuals insight.kellogg.northwestern.edu/article/care...
What is #dataviz animation good for? An updated thread with examples.
Super excited for this.
Gregor Aisch@driven-by-data.net · last yr.Last week I had the pleasure of finally releasing the #SveltePlot alpha version during my talk at the #SvelteSummit in Barcelona. It's a new visualization framework for @svelte.dev that I've been working on for the past 18 months, so it's about time for a 🧵
I like how this chart makeover uses the same chart type and even the same layout but by focusing on colours and labelling it significantly improves the ease with which it can be interpreted
Nick Desbarats@nickdesb.bsky.social · last yr.⏯️New video!⏯️ Watch me redesign a chart so that it "does its job" (10 mins) youtu.be/QnqpuGeKIxw BTW, live online workshop kicks off on June 2 with early-bird prices ending May 9! Info/registration: www.practicalreporting.com/june-2025-on...
I worked on this project with the tremendous team at Voilà. I really care about the user experience in all my projects so I'm quite chuffed we we an honouree for "best user experience" from the Webby Awards.
Voilà: Francis Gagnon@chezvoila.com · last yr.I knew of the Webbys back when I was just dreaming of being a designer. "Best of the web" It's mind-blowing at a personal level to see one of Voilà:'s projects become a honoree for "best user experience". 🏅 So proud of the team 👏☺️
Dotplots With good defaulta it beats the obvious alternatives, scales better than people think (like 10000+ data points) and isn't as sensitive to binwidth or bandwidth estimators Density? Nope dotplot Histogram? Nope dotplot Violin? Nope dotplot
William B. Fuckley@opinionhaver.bsky.social · last yr.what's in your view the best data-visualization technique/type of plot/chart? in terms of concisely conveying information effectively and aiding substantive understanding. obviously depends hugely the use case, etc. but if you had to pick one in a vacuum?
I love these Ovechkin shot placement maps from @evolving-hockey.com & @theathletic.bsky.social Unfortunately, I can’t find the gift link button: www.nytimes.com/athletic/623... 📊#dataviz
I return to @johnnelsonmaps.bsky.social 's Silly Geographic Precision table whenever I see the coordinates in a file I'm trying to make smaller. Latest file was mapping atoms. uxblog.idvsolutions.com/2013/11/sill...
Nifty design: You can take advantage of left-to-right reading to tell a story with your labels. Here, FT could have put "They represent the working class" on the right axis next to other labels, but this layout causes you to focus on it *first*, and then pay attention to its decline.
It is fine to start your line chart axes at something other than zero, especially when small variations are important. You can give hints that your axis doesn’t start at zero by placing additional space below the data, removing the baseline, and/or adding a broken axis symbol 📊 #VizTips
It's always interesting to see all the steps that go into creating something that looks "simple" and remains intuitive.
Gregor Aisch@driven-by-data.net · last yr.For the German election we wanted to use a cartogram of German election districts but didn't find anything good, so we created our own. Here's a little nerd thread how the final algorithm worked 🤓 🧵 #gis #cartogram #election #datavis #cartography
