Paulius Alaburda

Twin Peaks Opening Title Generator Create your own Twin Peaks opening titles. Your own episode. Your own mystery.

Don't like it? Make your own, you fucks!

welcometotwinpeaks.com/memes/twin-p...

A truly original way of visualizing population data. Population median lines for European countries show where the population is cut in half along a North-South axis. Love the use of one continuous line. Great piece!!! Source: buff.ly/U5W7TUm

My mind went straight to "douze points goes to..."

🚀 dashboardr is out!

An #rstats package for building interactive dashboards with tidyverse-style syntax.

Launched with a fun hackathon at @ascor.bsky.social (🍕 included).

📦: favstats.github.io/dashboardr/

Big thanks to the dashboardr team, Digicomlab, and @vivifabrien.bsky.social for the logo 🎨

I went a little overboard with this and a little bit insane. moultano.wordpress.com/2026/02/22/t...

#rstats Here's a useful guide to creating publication-ready #ggplot figures to journal specifications, which is often quite fiddly.

jaquent.github.io/2026/02/crea...

Have you seen our Olympic medal count visualization?
BTW: To generate the Olympic medal scarfs, we render it on HTML canvas. A powerful drawing technology, but inherently non-interactive. We wanted the medals to be clickable. So: How do you render an interactive canvas?
A technical deep-dive #Svelte

#rstats reminder about negative filtering, now in 🌸💖 pink 💖🌸
hedvigsr.tumblr.com/post/8076339...

Built a “3D” sphere (SVG) to show RYB transformations.
Over-iterated in @codepen.io

10% optimization, 90% procrastination.

codepen.io/meodai/full/...

I finally figured out what all the fuss is about #dbt!
Better late than never, right?

I've written up my notes here: ✍🏻 rmoff.net/2026/02/19/t...

A Deep Dive into ADBC Driver Optimization What it takes to achieve good performance across different data systems

Love me a good optimization whodunnit

columnar.tech/blog/adbc-dr...

Sizing chaos The inter-generational struggle to find clothes that fit more than a tiny portion of women

Ohhh this datavis project looks absolutely neat!

Feb. update to the LLM+R guide 💪

8 new packages including:
code review, predictive modeling, speech-to-text, text-to-speech, HuggingFace integration, Gemini CLI companion, a CLI coding agent written in R🤯 ,and more!

available in English 🇱🇷 and Spanish 🇲🇽
luisdva.github.io/llmsr-book/
#rstats

If you are teaching any kind of statistics, probability or modeling classes, you'll love this website. Contains dozens of interactive simulations of random processes, with sliders, different visualizat options, and full numeric log ouput: www.randomservices.org/random/apps/...

GitHub - tobilg/polyglot: Rust/Wasm-powered SQL transpiler Rust/Wasm-powered SQL transpiler. Contribute to tobilg/polyglot development by creating an account on GitHub.

Introducing polyglot - A Rust/Wasm SQL transpiler for more than 30 SQL dialects.

It has 100% coverage for sqlglot‘s test fixtures.

github.com/tobilg/polyg...

Screenshot of site some really cool data visualisations, arranged in a grid.

When running #DataViz workshops, one question that often gets asked is "what's your favourite ever chart?" 📊

So I've started compiling some of the awesome visualisations made by other people that I often share!

A very much a work-in-progress, non-exhaustive list: nrennie.rbind.io/fave-data-viz/

⭐ NEW PAPER ⭐ on a Bayesian approach to sample size calculations for external validation of risk prediction models - account for uncertainty in the assumed true performance of the model - plus calculate assurance probabilities & the value of information
onlinelibrary.wiley.com/doi/10.1002/...

Exploring Rtistry: Art Creation with R

I've been exploring creative coding with #rstats
Zenn recently auto-generated an English version of my Rtistry article using AI.
It's machine-translated, but readable enough.
If you're curious about what I'm building with R, feel free to check it out!
zenn.dev/paithiov909/...

The icicle distribution

Introduction to building (better) R packages - Nicola Rennie Abstract: There are many benefits to turning your R scripts or functions into a package, like making your code easier to re-use, easier… Introduction to building (better) R packages

Introduction to building (better) R packages www.youtube.com/watch?v=Y8Kr... (R/Pharma 2025 #Rstats)

Scientists no Longer Find Twitter Professionally Useful, and have Switched to Bluesky Synopsis. Social media has become widely used by the scientific community for a variety of professional uses, including networking and public outreach. For

Bluesky is the new science Twitter, new study by @whysharksmatter.bsky.social and Julia Wester concludes!

"Results show that for every reported professional benefit that scientists once gained from Twitter, scientists can now gain that benefit more effectively on Bluesky than on Twitter."

annotating-gt.R GitHub Gist: instantly share code, notes, and snippets.

I unashamedly took a swing with Claude:
gist.github.com/Alaburda/8e3...
gist.github.com/Alaburda/115...

I think you might have meant something like this though?
gist.github.com/Alaburda/6a5...

Searching for Birds An interactive story about the birds that capture our curiosity, told through data, visuals and illustrations

Really enjoyed this Searching for Birds data visualization from
@nadiehbremer.com
and team. Lots of great info (and I wouldn't have guess the species estimated to be the second most-numerous in the U.S. if given 50 tries)
searchingforbirds.visualcinnamon.com

Do you mean something like a little info icon you could hover over for a tooltip?

Inducing novel endosymbioses by implanting bacteria in fungi - Nature A study presents an approach to establish and track a new endosymbiotic partnership by implanting bacteria in a non-host fungus and shows that stable inheritance of the implanted bacteria is possible ...

Vorholt Lab re-created endosymbiosis in the lab: injected bacteria into a fungus and evolved a heritable partnership.

Evolution, fast-forwarded.

doi.org/10.1038/s415...

Invited Commentary: A-P-C … It's Easy as 1-2-3! Abstract. Investigations of age, period, and cohort effects are difficult because the 3 factors are linearly dependent. In a novel application, Kramer et a

This is a great post and happy to see more advice for doing interesting descriptive work. Also, that first paragraph heading is a banger... :)

academic.oup.com/aje/article/...

Fragments: February 13 fragments 13 Feb 2026

NEW POST

Fragments: the future of senior developers, junior developers, more on cognitive debt, DevEx versus AgentEx, the role of IDEs, consequences of task switching in supervisory programming

martinfowler.com/fragments/20...

You can now use LLMs to learn about any chapter of my 𝑀𝑜𝑑𝑒𝑙 𝑡𝑜 𝑀𝑒𝑎𝑛𝑖𝑛𝑔 book, or any function in the `marginaleffects` package for R or Python.

Check out the cool demo video below (sound on).

Install here: github.com/vincentarelb...

#marginaleffects #RStats #pydata

Embed a webpage in Quarto html Is there a way to embed a webpage in a Quarto reveal.js or HTML output? So far, there is documentation for IFrames as interactive background for reveal.js, but this is not really flexible. Reproduc...

Yup, just tried it, it works! You can follow this SO post: stackoverflow.com/questions/76...

Simulated null distribution for data with a sample size of 100, difference in group means of 5, and a p-value of 0.142

Simulated null distribution of a slope of 0.8 and p-value of 0.002

Finally, we have to decide if the p-value meets an evidentiary standard or threshold that would provide us with enough evidence that we aren’t in the null world (or, in more statsy terms, enough evidence to reject the null hypothesis). There are lots of possible thresholds. By convention, most people use a threshold (often shortened to α) of 0.05, or 5%. But that’s not required! You could have a lower standard with an α of 0.1 (10%), or a higher standard with an α of 0.01 (1%). Statistically significant The p-value is < 0.001 and our threshold for α is 0.05 In a world where there is no relationship between x and y, the probability of seeing a slope of at least 0.901 is < 0.1% Since < 0.001 is less than 0.05, we have enough evidence to say that the slope is statistically significant.

Evidentiary standards When thinking about p-values and thresholds, I like to imagine myself as a judge or a member of a jury. Many legal systems around the world have formal evidentiary thresholds or standards of proof. If prosecutors provide evidence that meets a threshold (i.e. goes beyond a reasonable doubt, or shows evidence on a balance of probabilities), the judge or jury can rule guilty. If there’s not enough evidence to clear the standard or threshold, the judge or jury has to rule not guilty. With p-values: If the probability of seeing an effect or difference (or δ) in a null world is less than 5% (or whatever the threshold is), we rule it statistically significant and say that the difference does not fit in that world. We’re pretty confident that it’s not zero. If the p-value is larger than the threshold, we do not have enough evidence to claim that δ doesn’t come from a world of where there’s no difference. We don’t know if it’s not zero. Importantly, if the difference is not significant, that does not mean that there is no difference. It just means that we can’t detect one if there is. If a prosecutor doesn’t provide sufficient evidence to clear a standard or threshold, it does not mean that the defendant didn’t do whatever they’re charged with†—it means that the judge or jury can’t detect guilt.

I just whipped up this little #QuartoPub site last week that demonstrates how I teach p-values/hyp-testing through simulation both with live OJS and with #rstats, and I think it's super neat! It has examples for diff-in-means, diff-in-props, and regression slopes nullworlds.andrewheiss.com #statsky