Author | Lightnews

Christoph Scheuch @christophscheuch.bsky.social · 22h

Fantastic news! So to add the llm.txt to my site, which is built, rendered and deployed via GitHub Actions, I just switch to the new version in the workflow or do I need to explicitly call build_llm_docs() after build_site_github_pages()?

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Christoph Scheuch @christophscheuch.bsky.social · 8d

And a Makefile to orchestrate the execution order of different reports and their potential dependencies ✌️

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Reposted by Christoph Scheuch

Christopher Smith @chriscarrollsmith.bsky.social · 12d

New R package I developed as part of the `econdataverse` project for accessing macroeconomic data from the International Monetary Fund's IMF Data API was just published to CRAN. 🥳 Writeup here: open.substack.com/pub/modeling...

Announcing imfapi: User-Friendly Access to IMF Data in R

New IMF API, new IMF API R library — part of the econdataverse initiative

open.substack.com

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Christoph Scheuch @christophscheuch.bsky.social · 26d

You can still publish to shinyapps.io from Positron using the rsconnect package

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Reposted by Christoph Scheuch

Emil Hvitfeldt @emilhvitfeldt.bsky.social · Sep 24

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

Screenshot of first page of slidecrafting-book.com website

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Reposted by Christoph Scheuch

Athlyticz @athlyticz.bsky.social · Sep 16

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

SynergiZing ML & LLMs in R — tidymodels, RAG, Shiny | Athlyticz

Waitlist open for Athlyticz’s async R course: tidymodels + LLMs (RAG, tool-calling, evals) and Shiny/vetiver deployment—by Nic Crane & Christoph Scheuch.

athlyticz.com

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Reposted by Christoph Scheuch

Thomas Lin Pedersen @thomasp85.com · Sep 11

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

ggplot2 4.0.0

A new major version of ggplot2 has been released on CRAN. Find out what is new here.

www.tidyverse.org

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Christoph Scheuch @christophscheuch.bsky.social · Sep 11

Another challenge is being obsessive about function names and consistency since in R we typically load everything into the same namespace. In Python, I’d probably take a different approach, since it’s more common to organize things into (sub-)modules.

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Christoph Scheuch @christophscheuch.bsky.social · Sep 11

Great idea for a post! The tricky part is that you often figure things out along the way (e.g. column / parameter names), which then forces changes in other packages (i.e. breaking changes / soft deprecations). A meta-package that loads the rest is easy to set up thanks to the tidyverse 🙏

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Christoph Scheuch @christophscheuch.bsky.social · Sep 11

Link to package docs: tidy-intelligence.github.io/r-econdatave...

Easily Load and Install the EconDataverse

The EconDataverse is a universe of open-source packages to work seamlessly with economic data. This package is designed to make it easy to install and load multiple EconDataverse packages in a single step. Learn more about the EconDataverse at <https://www.econdataverse.org>.

tidy-intelligence.github.io

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Christoph Scheuch @christophscheuch.bsky.social · Sep 11

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

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Christoph Scheuch @christophscheuch.bsky.social · Sep 7

Wasn’t it some Excel mess? Like hitting row limits and wrong references. Guess the first step would be a code-first approach 🫠

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Reposted by Christoph Scheuch

Charlie Gao @shikokuchuo.net · Sep 2

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

nanonext 1.7.0

nanonext is a communications and concurrency toolbox that facilitates fast, powerful and reliable data exchange in polyglot data science workflows.

www.tidyverse.org

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Christoph Scheuch @christophscheuch.bsky.social · Sep 1

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“ ✌️

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Christoph Scheuch @christophscheuch.bsky.social · Aug 29

The first vignette offers a detailed look at what’s possible with {datacommons} in #rstats: tidy-intelligence.github.io/r-datacommon...

Analyzing Census Data with Data Commons

tidy-intelligence.github.io

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Christoph Scheuch @christophscheuch.bsky.social · Aug 29

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...

GitHub - tidy-intelligence/r-datacommons: Client for the Google Data Commons API V2

Client for the Google Data Commons API V2. Contribute to tidy-intelligence/r-datacommons development by creating an account on GitHub.

github.com

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Christoph Scheuch @christophscheuch.bsky.social · Aug 25

Working hard at more R packages 😅

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Christoph Scheuch @christophscheuch.bsky.social · Aug 25

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...

GitHub - Teal-Insights/r-imfweo: Seamless Access to IMF World Economic Outlook (WEO) Data

Seamless Access to IMF World Economic Outlook (WEO) Data - Teal-Insights/r-imfweo

github.com

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Reposted by Christoph Scheuch

CRAN Package Updates Bot @cranberriesfeed.bsky.social · Aug 22

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

CRAN: Package imfweo

Provides tools to download, process, and analyze data from the International Monetary Fund's World Economic Outlook (WEO) database <<a href="https://www.imf.org/en/Publications/SPROLLs/world-economic-outlook-databases" target="_top">https://www.imf.org/en/Publications/SPROLLs/world-economic-outlook-databases</a>>. Functions support downloading complete WEO releases, accessing specific economic indicators for selected countries, and listing available data.

cran.r-project.org

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Reposted by Christoph Scheuch

Emil Hvitfeldt @emilhvitfeldt.bsky.social · Aug 20

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

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Reposted by Christoph Scheuch

W. Joel Schneider @w-joel-schneider.bsky.social · Aug 20

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...

Trigonometric functions and a unit circle

A bivariate change model with structured residuals

A hierarchical model of cognitive abilities

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Christoph Scheuch @christophscheuch.bsky.social · Aug 19

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

A testimonial quote on a dark blue background. The text reads: “Positron feels like stepping into the future of data science. I work in both R and Python daily, and switching between projects has never been easier. With built-in version control, a lightning-fast data explorer, and automatic code formatting, my workflow is pure joy — building apps, packages, reports, or teaching materials has never felt this seamless.” — Christoph Scheuch, Founder, Tidy Intelligence.

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Christoph Scheuch @christophscheuch.bsky.social · Aug 18

What’s the problem with webR in Safari? How about Chrome?

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Reposted by Christoph Scheuch

Emil Hvitfeldt @emilhvitfeldt.bsky.social · Aug 13

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

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Christoph Scheuch @christophscheuch.bsky.social · Aug 13

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...

Shiny Apps in the Azure Cloud

A practical guide to deploying Shiny Apps in the Azure Cloud

blog.tidy-intelligence.com

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