I'm exited to announce a new resource about making slides with quarto and revealjs. This book is the combination of all the work I have done in this area, reordered and polished up There isn't a lot of new information yet, but this format allows me to add more easily slidecrafting-book.com #quarto

We’re thrilled to have @niccrane.bsky.social and @christophscheuch.bsky.social join our team to co-develop our flagship async course, SynergiZing ML & LLMs in R. We’ve also welcomed @albertrapp.bsky.social to lead our monthly membership track. 👉 Early access updates here: athlyticz.com/ai-signup

I am beyond excited to announce that ggplot2 4.0.0 has just landed on CRAN. It's not every day we have a new major #ggplot2 release but it is a fitting 18 year birthday present for the package. Get an overview of the release in this blog post and be on the lookout for more in-depth posts #rstats

Big milestone: {econdataverse} is now on CRAN #rstats. Install & load multiple #EconDataverse packages in one step, just like the {tidyverse} 🥹

tidyverse blog: Breaking down language barriers in data science nanonext is a messaging and concurrency toolkit, connecting R to polyglot data science pipelines involving modules written in Python, Rust, Go and C++ etc. www.tidyverse.org/blog/2025/09... #RStats #tidyverse

Looking forward to my first pure #Python conference ever at PyData Berlin 🐍 If you are interested in getting to know Shinylive and WebAssembly in Python, feel free to join my talk tomorrow at noon titled „Building Reactive Data Apps with Shinylive and WebAssembly“ ✌️

Another new CRAN release with @tealemery.bsky.social 💪 {datacommons} is a wrapper for the Google Data Commons API v2, which provides unified access to global public stats in a knowledge graph, thus reducing data-wrangling pain. Feedback as always very welcome 🙏 github.com/tidy-intelli...

New #RStats package on CRAN: {imfweo} (w/ @tealemery.bsky.social) gives easy access to IMF’s World Economic Outlook. It's part of the #EconDataverse, helping economists + financial professionals work with sovereign-level data. Feedback welcome ✌️ github.com/Teal-Insight...

New CRAN package imfweo with initial version 0.1.0 #rstats https://cran.r-project.org/package=imfweo

Happy to announce ✨quarto-revealjs-editable✨ This fully supersedes the imagemover extension, as I back then didn't realize the potential. You can now also move, resize, change font size and alignment for text in your slides github.com/EmilHvitfeld... #quarto #slidecrafting

Now on CRAN, ggdiagram is a #ggplot2 extension that draws diagrams programmatically in #Rstats. Allows for precise control in how objects, labels, and equations are placed in relation to each other. wjschne.github.io/ggdiagram/ar...

I’m a big fan of the Positron IDE, so when @rachaeldempsey.bsky.social‬ asked me to provide a testimonial, I didn’t hesitate 🙏

Excited to share my newest quarto revealjs plugin: imagemover Easily reposition and resize images directly in your quarto revealjs slides for a much smoother slidecrafting experience github.com/EmilHvitfeld... #quarto

By popular demand over on LinkedIn, I’ve kicked off a series on deploying R/Python projects to Azure. First up: version control, containerisation, build pipelines & hosting. Should I include #Python or keep it focused on #rstats? blog.tidy-intelligence.com/posts/deploy...

Starting my new position as #data #editor for the Review of Financial Studies together with @christophscheuch.bsky.social. Very excited for all that is to come!

Introducing TidierErrors.jl, an experimental #JuliaLang package that makes error messages tidier with the help of LLMs (with support for local LLMs!) github.com/TidierOrg/Ti... Developed by @randy.pub Left: original error message Right: tidier error message

Follow the #econdataverse by @christophscheuch.bsky.social and @tealemery.bsky.social for international datasets 🌎 📊 #ratats #econsky #stats www.econdataverse.org

#rstats has anyone added a new provider to ellmer? I see that it’s doable but I’m hoping to see if someone has blazed that trail for me and I can follow in their footsteps steps.

New on CRAN: {oecdoda} 📢 Access & analyze Official Development Assistance (ODA) data from the OECD API in R - inspired by Jorge Rivera’s {oda-reader}. Part of #EconDataverse. Feedback welcome 🙏 tidy-intelligence.github.io/r-oecdoda/

The #EconDataverse keeps on growing ✌️

🐘 ellmer 🐘 makes it easy and fun to use LLMs from #rstats, and 0.3.0 is out now. Read about the new streamlined chat() function, improvements to tool specifications, and more at www.tidyverse.org/blog/2025/07....

my favourite type of post: shows how to use public data to produce something interesting with just a few lines of R code

#rstats polars 1.0.0 is now available! polars provides bindings to the eponymous Rust library, a very efficient dataframe library. This is the outcome of a 1-year long rewrite led by @eitsupi to refactor the internals and match the API of Python polars. pola-rs.github.io/r-polars/ Details ⬇️

#rstats #econsky PSA: The next release of `fixest` will include some important changes (plus cool new features). E.g. Fixed-effects regs will now default to 'iid' SEs rather than clustered. github.com/lrberge/fixe... You can install and test drive the dev version from R-universe; see the README.

Can’t believe I forgot to share this back in February... Check out this intro to RAG by @christophscheuch.bsky.social! blog.tidy-intelligence.com/posts/rapid-... RAG before ragnar! It’s also a good intro to ragnar internals, since ragnar makes similar implementation choices.

What was the tech stack when you first learned #Python 🐍 (IDE, environment, data storage, etc)? What does it look like today? 🤔

😲 🤯 Did you know you can add a _brand.yml to your _pkgdown.yml ?!

{tinytable} is a dead simple, ultra-flexible, and dependency-free #Rstats 📦 to turn data frames into beautiful tables: html, word, pdf, latex, typst, markdown, etc. v0.10.0 has cool new features and important bug fixes. Check out the detailed tutorials at: vincentarelbundock.github.io/tinytable/

Friendly #rstats package development reminder to my future self: `@inheritParams` is a nice {roxygen2} feature to help you stay DRY when writing function documentation. More here: r-pkgs.org/man.html#inh... 📦 : roxygen2.r-lib.org/index.html

At Posit, we've been busy making async first class within #RStats with mirai. Now it's time to make High-Performance Computing a first class option for distributed computing within mirai! mirai 2.4.0 includes a cluster launcher for: Slurm, SGE, Torque, PBS, LSF. shikokuchuo.net/posts/27-mir...

#rstats Stoked to say that a new release of {tinyplot} is available on CRAN and R-universe. grantmcdermott.com/tinyplot/ Grab it with: ```{r} install.packages("tinyplot") ``` A quick 🧵 showcasing some new features...

Say hello to kuzco, an LLM-powered computer vision assistant package in #RStats! @frankiethull.bsky.social's kuzco leverages Ollama to bring computer vision capabilities into your R workflow. Learn about classification, image recognition, and sentiment analysis in kuzco: posit.co/blog/kuzco-c...

@ropensci.org May news! 🗞️ #RStats 👋 Help us maintain {pkgcheck}! 📊 Champions Program 2025 📆 Coworking: @jonthegeek.com on the DSLC in June, Saranjeet Kaur Bhogal on RSE and R in July 📦 New: {forcis}, {promoutils} 🙋 Calls for contributions 🧰 Package dev corner ropensci.org/blog/2025/05...

#rstats New post: Refactoring code with `flir` `flir` is a pkg I created last year, similar to `lintr` but faster and with automatic fixes. In this post, I explain how to extend it, for instance to replace superseded and deprecated functions in large projects www.etiennebacher.com/posts/2025-0...

Mastering typefaces and fonts in #rstats has always been harder than it should. I have tried to collect much of my relevant knowledge in this deep-dive blog post so you can spend your time picking the right typeface instead of cursing at the computer

A little while ago, I built a TARDIS using #RStats 🎨 I recently re-built it using D3, and made it interactive with tooltips to reveal Doctor Who trivia! #DataViz #D3

Last week, the IMF released new World Economic Outlook data. Since @tealemery.bsky.social and I are currently building an #rstats package to access it, I made a quick Shinylive app to explore the data interactively. Feedback welcome! apps.econdataverse.org/economic-out...

Welcome to the newest member of the Tidier family! TidierTuesday.jl brings the #tidytuesday datasets to your fingertips in #julialang, whether you use Tidier.jl, DataFrames.jl, or DataFramesMeta.jl. @frankiethull.bsky.social @jonthegeek.com @libbyheeren.bsky.social github.com/TidierOrg/Ti...

FRED offers several indexes that help measure economic uncertainty. Check the FRED Blog for the data ow.ly/UjGF50VI5S1

air is so, so good. Feels like the workflow joy of adopting usethis all over again—so many 2-second bits of tedium that I don't have to endure anymore. posit-dev.github.io/air/

kind of a long shot but does anyone know where i can find district level shapefiles for pakistan? #rstats

tl;dr: Python or R or both www.nature.com/articles/d41...

Incoming PR for tidytuesday that brings #julialang to the party with TidyTuesday.jl! @frankiethull.bsky.social

For the last couple of months I've been working on something and I'm excited to finally share an early preview: Say hello to plumber2 🎉 plumber2 is a full rewrite of the plumber package for creating powerful webapis in #rstats. It takes everything we have learned from plumber and adds even more

PyFixest 0.29 is on PyPi! - We have updated how small sample adjustments are computed. PyFixest inference matches fixest now 100%, out of the box and all of the time! - We have added support for fully saturated event studies, which in turn enables @apoorvalal.com's DiD specification tests.

On June 13, we will have a workshop on Using LLMs by @hadley.nz More info: bit.ly/4jmEAJW Please share! #RStats #EconSky #AcademicSky

Great application of LLM for policy research. Check out the thread for some previews of their findings 👇

If you're using LLMs to write R code, @simonpcouch.com's blog posts are the best way to keep up with which model is best

what are some great #RStats packages that are exclusively available through GitHub (or any other git service) that you use often?