Daniel Weiand

While I had been using rainbow parentheses for a while, I only recently found out about rainbow indentation thanks to @ijlyttle.bsky.social and @3mmarand.bsky.social 🌈 #rstats

Top Ranked Board Game Table Contest Entry

Want to win the 2025 Table Contest? Get inspired by @bamattre.bsky.social's interactive table, which turns the Board Game Geek database into a practical tool ✨

His entry: bamattre.github.io/boardgames/

Submit your table using any #RStats or #Python package!

Details: github.com/rich-iannone...

Why law firms want to recruit more data scientists AI is making new demands on lawyers but do they need to learn programming?

Second attempt

Why law firms want to recruit more data scientists - on.ft.com/3IoWXkf via @FT

Without transformational change, the sustainability of the NHS is at risk.

A large number of recent FT articles have focussed on the NHS and its need to modernise. But progress remains far too slow

"Fit for the future: 10 Year Health Plan for England".

The paper makes clear that the NHS is at a historic crossroads, facing unprecedented pressures on access, outcomes, workforce morale, and technology adoption. The government's conclusion is unambiguous

Which in itself leads to a vicious cycle where NHS managers remain oblivious to the huge opportunity that confronts them.

Timely investment in modern data science technologies is sorely needed, particularly in light of the UK government's newly published Policy Paper

But managers working in the NHS are often entirely oblivious to the advantages of applying simple data science methods (nevermind machine learning/Al).

This leads to data science teams in medical settings -- including primary, secondary and tertiary care -- being under-resourced

Why law firms want to recruit more data scientists - on.ft.com/3loWXkf via @FT

There's a huge amount of overlap here with what's happening in medicine and the NHS.

As in legal practice, much of Medicine is document-based -- and "words are data points", as highlighted here

🚨 GRADY IS BACK 🚨

This was my tenth(!) year building 25 days of puzzles for #AdventOfCode. You can solve them all for free! Most people write code to solve them, but you can solve them however you like. I hope they help people become better programmers. 🌟

The first puzzle comes out in two hours: adventofcode.com

Glowing! Probably ugly #rstats code, but I did Day 1 of this year’s #AdventOfCode adventofcode.com/2024/day/1

Will try to keep up.

adventofcode.com/2024/day/1

#Rstats

Advent of code 2024- my first time joining in.

Really like the way it's presented almost in old fashioned RPG video game style from the 90s

The learning curve is steep in #RStats but the payoffs do come: "I now spend well over 90% of my work time thinking about and programming in R... as I built better tools...it becomes even easier to build new tools... and I have many techniques on-hand (in-brain) for solving new problems."

📌

Inspiration – brand.yml Unified branding with a simple YAML file

We have our brand.yml page on the Posit Gallery posit-dev.github.io/brand-yml/in...!

All our colours can be used for NHS England.

Thanks to @send2dan.bsky.social for the issue on the Posit GitHub and @grrrck.xyz for all your help with getting this to a successful Pull Request.
#RStats #Python

Good, come on over

📚 Spatial Statistics for #datascience w/ #rstats

Chapter 1: Spatial Data Types
🔹 Areal: aggregated number of events (disease counts)
🔹 Geostatistical: observations at known locations (air pollution)
🔹 Point patterns: event locations (fires, trees)

Examples 👉 www.paulamoraga.com/book-spatial...

Looks really useful, thanks!

𝚝𝚒𝚗𝚢𝚝𝚊𝚋𝚕𝚎 0.6.1 for #Rstats is out!

It's an ultra simple, super flexible, and 0-dependency package to draw beautiful tables in HTML, LaTeX, Typst, Word, PDF, and PNG.

And for those who ❤️ documentation, 𝚝𝚒𝚗𝚢𝚝𝚊𝚋𝚕𝚎 ships with a billion pages of tutorials:

vincentarelbundock.github.io/tinytable/

NHS brand · Issue #53 · posit-dev/brand-yml For the UK it would be helpful to publish branding for the National Health Service (NHS) - The UK's largest employer after all

They say shy bairns get nought.

Happy to say Posit are working on an NHS themed _brand.yml, which should be very helpful when creating NHS themed Quarto outputs:

github.com/posit-dev/br...

Further general info here:

github.com/posit-dev/br...

posit-dev.github.io/brand-yml/

🙏

#Rstats #NHS

Very convincing clinical details, too. Impressive synthetic data created using the Wasserstein GAN*.

(*Google searches may have spiked recently)

At #NHSRPySoc and thinking for the quadrillionth time that a sane NHS would make sure that data scientists have somewhere to deploy their projects so they can show them to interested parties.

Tiny investment, massive benefit

Happy to attend the #NHSRPySoc 2024 conference in Birmingham at the ICC

For #rstats folks, sharing this post from @cararthompson.bsky.social on the power of {scales}
(a ggplot2 dependency you probably already have)
to format more readable numbers (in tables, plots, etc.)
www.cararthompson.com/posts/2024-0...

Have you ever thought to yourself… how can I make my #rstats plot UGLIER? Well, look no further, cuz it’s good plot-bad plot time! My students made plots that will make you want to laugh, cry, and throw your computer out the window. Which one do you think is the worst? 🧵🧪

YouTube video by Posit PBC Quarto, AI, and the Art of Getting Your Life Back - posit conf 2024

Happy Halloween—my posit::conf(2024) talk has been uploaded! Watch to see how I easily migrated my website to Quarto using some neat Quarto features and a little help from AI!

#RStats #QuartoPub #PositConf #Quarto

youtu.be/U8_Dc_ru8fg?...

a group of people are hugging in a living room . Alt: A group of men and women converging for a group hug.

The #rstats community has re-assembled on this platform. I am crying! It's beautiful to watch 😍

library(ggplot2) mtcars_labelled <- mtcars attr(mtcars_labelled$mpg, "label") <- "Miles per gallon" attr(mtcars_labelled$disp, "label") <- "Displacement" attr(mtcars_labelled$drat, "label") <- "Rear axle ratio" mtcars_labelled |> ggplot(aes(mpg, disp)) + geom_point(aes(colour = drat))

ggplot figure showing "Miles per gallon" on x-axis, "Displacement" on y-axis, and "Rear axle ratio" on legend.

y'all probably know i ❤️labelled data. the dev version of {ggplot2} has a new feature that automatically applies variable labels when plotting 😍✨ thank you @teunbrand.bsky.social!!! 🙏 #rstats

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