"There is a strong relationship, but it isn't statistically significant." This frequentism stuff has absolutely cooked people's brains.

At first I thought I'd like this better with filled, triangular arrowheads, but upon further reflection I think this style makes it more obvious where the data points are. Is there an unconscious tendency to imagine the data point in the centre of a filled arrowhead instead of at the tip?

@allendowney.bsky.social on Hempel's raven paradox. I like the heatmaps visualizing the joint posterior distributions in each scenario. www.allendowney.com/blog/2025/12...

The archives of the journal Visible Language, which has published interesting articles on #dataviz 📊 in addition to typography, calligraphy, spelling reform, and many other interesting things, are available for free online: journals.uc.edu/index.php/vl...

Can you guess which basic #dataviz errors this graphic features? Why in the world wouldn't the colour mapping be the same across the four donuts? And why not a 100% stacked bar chart instead of donuts? Just like movies about making movies, data graphics about making data graphics are never good.

I'm not proud to tell you that I clicked this Wirecutter article fully believing it was about the 📊 Best Bar Charts.

New paper for anyone working with data: Better data viz - for free, in few clicks. Below, all N = 111, M = 0.04, SD = 0.27. One-sided t-tests vs. 0 yield: t(110) = 1.67, p = .049. Use raincloud plots. Or risk wrong conclusions! Plot w/ @jaspstats.bsky.social today! 🧪 📊 #PsychSciSky #StatsSky 🧵👇

Will Posit's recent transition to hyping slop generation endanger its B Corporation status? Surely you can't be serious about climate targets while shilling this stuff, right?

Find the data 🧐🤓 #dataviz #datatoinkratio

Embarrassing. Why not just train a slop generator on all the conference submissions and then skip actually running it?

My struggles with Tableau 📊 seem to boil down to two issues: 1. Too little control over the aesthetic mapping. (E.g. cannot map to position.) 2. Dimensions and measures are treated radically differently (e.g by filtering) in ways that are unintuitive and/or just never what one would want.

Watch the seismic waves from today's magnitude 7.3 Alaska earthquake ripple across seismic stations in North America. More ➡️ loom.ly/kaJp5I0

I'm sorry, but if the image slop generator you used for your slides can't produce a world map with South America in it, I'm not buying your data engineering pipeline slop generator. Pretend tools for pretend work.

I've written an explainer blog post for my "data strips" #dataviz workbench web app, trying alternative 1-D distribution summary plots. rawdatastudies.com/2025/07/05/d...

I wouldn't want to be associated with that creep either, but I think if you open-source your #dataviz 📊 theme, you have to accept the possibility of creeps using it. In any case, I'd never assume that two chart authors were associated just because they use the same style, and you shouldn't either.

Vertical axis trickery in Bigalke et al. (2021), via dynomight.net/blue-light/. 📊

A #dataviz adjacent post from Andrew Gelman about which Venn diagrams can be drawn with rotational symmetry. The same Venn after whom the diagrams are named originated the frequency interpretation of probabilities, incidentally.

Some hard-hitting #dataviz coming out of New York.

Does Posit develop open source data science tools, or just LLM plug-ins? Based on their social media presence, you'd assume it were the latter.

6 old and 7 new 1D #dataviz. Trying Shortest Half with a twist: one break is allowed. Also half-sample mode & count-adaptive outlier thresholds. Here's 1000 random normal points plus two outliers. The green ones are new. Try it at xangregg.github.io/data-strips/

A little trick to set unwanted #ggplot2 theme elements to `element_blank()` en masse. 📊 (Copyable code in alt text.)

Is there nothing new in 📊 dataviz to talk about? Why is the same information endlessly rehashed? Career reasons? (I.e., to generate leads, pad résumés, boost personal brands?) Something else? Are we actually reaching new audiences? (Not a criticism of this post/person in particular.)

Dataviz 📊 freelancers/consultants: What proportion of your time is dedicated to churning out buzzword-laden LinkedIn posts and newsletter emails? 90%? 95%?

Seems like a case for syncing scales across facets. 📊

Calling all the data analysis and visualization done prior to 2022 "limited insights and manual analysis" because it doesn't harness the power of the slop generators is obscene. This stuff can't go the way of "blockchain" soon enough.

Just please don't mess with my scrollbar!

Top 15 ggplot2 extensions, by downloads during the last month. Some surprises here, at least for me. #rstats Code: gist.github.com/carl...

Lollipop charts are a very elegant alternative to bar charts. 📊

Andrew Gelman uses this example in a post about counteracting perceptual distortion in dataviz 📊. It compromises on ease of comparisons to maintain a visual metaphor. I want to see how a 100% stacked bar graph would look, but sadly getting the chart data from the code isn't straightforward.

The story you likely *didn’t* know about John Snow’s cholera map. www.maps.com/snow-mistake... “Maps inform, inspire, and ignite interest in a way that is unlike any other media.” By @jscarto.bsky.social 📊🗺️

"Stratification in Late Traditional Chinese Society" by G. William Skinner and Paul D. Barclay 📊

@brrosenau.bsky.social's alternative to the stacked bar chart (example courtesy of @yan-holtz.bsky.social) makes all bar heights easy to compare, but creates a much worse problem: the height and area scales are now out of sync, fundamentally violating the visual logic of a bar chart. 📊

with every careless AI-booster, we stray further from the light

This cutesy data graphic 📊 from Bloomberg misleads both visually and conceptually. The yellow boxes account for 34.3% of the pixels but represent 42.5% of the dollar total. Worse, it also seems to imply that if not for the new tariffs, the boat would be only about half as full.

Ternary bubble plot of urban transportation modal share in Europe vs North America. citiesmoving.com/visualizatio... 📊

The grammar of graphics in the terminal, via k-nine. github.com/talwrii/kitt... 📊

Another salvo in the minimalism wars, a conflict between tiny groups of 📊 enthusiasts. Meanwhile, the vast majority of people who make data graphics are still blissfully churning out polka dot exploded 3D pie charts. Too bad this author didn't remember what the data-ink ratio is to begin with.

overflowing centuries of visual abundance www.chartography.net/p/getting-lo...

Hey @posit.co, why can't I subscribe to the blog via RSS/Atom?

Is there a name for the data visualization error in which an "identity" scale, e.g. colour encoded with colour or angle with angle, uses a mapping other than identity? "Encoding clash", maybe? "Stroop encoding"? 📊

Discussion of how best to plot overnight vs intraday stock returns from "Nothing to See Here: How to Say It When You Need to" (Knuteson, 2023), via statmodeling.stat.columbia.edu/2025/04/19/f... 📊

Here's a cool Severance fan site made with R + Quarto, featuring a variety of ggplot2 data visualizations. 📊 (h/t github.com/erikgahner/)

I found the most incredible graph on the other site

Chris Stjernlöf on making and interpreting Fisher's log-survival plots. 📊

A truly great 📊 figure caption, found in Lucas Kovar's "Electron Band Structure In Germanium, My Ass".

Thanks, I hate it. (For goodness' sake, don't let Tufte see this.)

ABC News has now fully taken down the old 538 website, including all interactive projects since 2014. Aside from erasing history this prevents access to publicly released data, including raw polls, averages, model estimates & story dta. Totally unacceptable for a company (allegedly) doing journalism

📊Looking for some inspirational #datavis thoughts / quotes for a Sunday aft? There's probably nothing better than this passage from Willard Brinton's Graphic Presentation, 1939 MAGIC IN GRAPHS THERE is a magic in graphs. The profile of a curve reveals in a flash a whole situation ... (txt in ALT)

I had a go at making some #NFL drive charts! I'm really pleased with how they turned out. I wanted to go with something that felt a bit more minimal (I am forever inspired by @barelymaps.bsky.social) and believe it or not, this was the more minimal version... #SportsAnalytics #DataViz #DataFam

Previous episodes in this 📊 saga: 1. nightingaledvs.com/ive-stopped-... 2. rpubs.com/Data4HR/visu...