I've recently started compiling a list of data science related resources that I use or recommend frequently! 📊

Link: https://nrennie.rbind.io/data-science-resources/

#RStats #Python #DataViz #DataScience

While my #rstats package is not on CRAN yet, I decided it should be called {legendry} instead of {gguidance}.

Thanks to @njtierney's guide this was a *mostly* painless process: https://www.njtierney.com/post/2017/10/27/change-pkg-name/

Instead of part 2 I just deleted my local repo and recreated it from github.

Ready to add another tool to your #DataScience toolkit? Let's learn #RustLang together! Rust is gaining traction in data science for its speed and safety features—making it a great complement to your #RStats skills!

We’re gathering a new book club to read https://doc.rust-lang.org/stable/book/ together, cover to cover.

🔗 Join us at: https://DSLC.io
📅 First Rust cohort starts soon!

If you’re curious about Rust or looking to push your programming skills further, this is your chance!

Finally ported `ggh4x::guide_axis_nested()` to `gguidance::guide_axis_nested()`.

Bunch of nice extra options, including just using brackets as annotations.

Small write-up here: https://teunbrand.github.io/gguidance/articles/tour.html#nested-axes

#rstats #ggplot2

🎉 Today’s the day! Join us for the first session of the Tidy Finance webinar series: "Optimize Portfolios using the Markowitz Model" by @christophscheuch. 🖥️ Tune in to elevate your financial analytics with R.

Haven’t registered yet? Do it now: r-consortium.org/tidy-finance-webinar-series

#TidyFinance #RStats

Thanks to all those who came to my #useR2024 talk earlier today, and double thanks to the wonderful audience member who lent me his clicker!

Since it was asked, here's a link to my slides: https://reproducible-data-science-wasm-use-r.netlify.app Note that webR and a whole bunch of packages are loaded into this presentation twice, for two different types of interactive example, so it's a pretty heavy download (almost 100MB)!