Reflecting our commitment to openness, belonging, and inclusion for all 💜 200+ chapters. 60+ countries. One global community. We're RLadies+. Come find us → rladies.org #RLadies #RStats

It's time to wrap up my week as curator of this account! Thanks so much to all of you who followed along 🤗 From #codereview to #dataviz to #AI to how to #stayrelevant in R - we covered a lot!

A short love letter to {purrr} 💌 #purrr has quickly become one of my most-used #rstats packages. The two ways I use it most: 📊 Mapping plotting code over subsets of data 📗 Importing many similar files into R

Thanks for sharing this! We published our best practices here, led by @rothj.bsky.social and Yunyan Duan: www.nature.com/articles/s44...

Ten principles for reliable, efficient, and adaptable coding in psychology and cognitive neuroscience - Communications Psychology

Programming is essential for modern research in neuroscience and psychology, but it can quickly become a source of frustration and error. This Primer introduces ten practical principles guiding resear...

nature.com

While it’s standard in software dev, #codereview is noticeably lacking in academia (which can lead to ⬆️ errors & ⬇️ reproducibility/reliability of our work). At @emlab.ucsb.edu, we’re addressing this by building code review into our lab's Standard Operating Procedures. Here’s a look at our plan 👇️

Have you ever read Advanced R? adv-r.hadley.nz Some of my colleagues and I are currently reading it together, book-club style! 📖 None of us are programmers, but we all wanted to gain a deeper understanding of how R works. A few of our notes, a few chapters in:

Welcome | Advanced R

A book created with bookdown.

adv-r.hadley.nz

Hey #rstats, it's been awhile since I did a deep dive into the latest and greatest in #dataviz (like... >5 years) What are your favorite resources, packages, graphics, plots these days? FWIW I asked ChatGPT to help visualize some complicated simulations recently and its ideas were terrible

Much of my research focuses on #fisheries, so I couldn't help focusing on seafood product tariff rates for my own Week 17 #TidyTuesday submission 🦀 🐟 I also used it as a means to play around with some of the #AI tools in Positron! A bit about my process below ⤵️

#TidyTuesday #dataviz still rolling in! Appreciating this beautiful #PydyTuesday submission, with a focus on 🍷

Ana Olivia Jorge@kindsoul3.bsky.social · 3mo ago

First time doing #TidyTuesday — a weekly data challenge where the community all explores the same public dataset and shares their work. This week: US Agricultural Tariffs. As a European I had to look at wine 🍷 Built in Python 🐍 #PydyTuesday #TidyTuesday #PyData

Learning #datascience is better with others 💫 At @emlab.ucsb.edu, we’ve formed informal co-learning groups to share environmental data science skills and approaches. Below, I’ll share a few resources my incredible colleagues have shared in this setting over the past year!

A neat example of #TidyTuesday #dataviz using the hot-off-the-press ggsql, an implementation of the grammar of graphics for SQL! opensource.posit.co/blog/2026-04...

ggsql: A grammar of graphics for SQL

Introducing ggsql, a grammar of graphics for SQL that lets you describe visualizations directly inside SQL queries.

opensource.posit.co

George Stagg@gws.phd · 3mo ago

This week's #TidyTuesday is about agricultural tariffs in the US. Today I've been working some more on #ggsql, so here is a ggsql plot! Code: gist.github.com/georgestagg/...

I'm seriously jelly of the creativity in this #TidyTuesday #dataviz 🤩

Nicola Rennie@nrennie.bsky.social · 3mo ago

This week's #TidyTuesday is all about agricultural tariffs in the USA, and I decided to focus in on tariffs on jam 🍓 Of course, that naturally led to figuring out how to write code to plot jam jars in #RStats! #DataViz #ggplot2

It's #TidyTuesday! I'm so inspired by others' #dataviz, so I'll be reposting some content throughout the day as it pops up (and maybe I'll contribute something myself if I can find time today!) 📊🗺️📈🎨

Jon Harmon (he/him/his) @jonthegeek.com · 3mo ago

@dslc.io welcomes you to week 17 of #TidyTuesday! We're exploring US Agricultural Tariffs! 📂 https://tidytues.day/2026/2026-04-28 🗞️ https://ers.usda.gov/sites/default/files/_laserfiche/publications/102980/ERR-304.pdf?v=13480 #RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

If I can make a plug 🙏 I maintain the Posit Glimpse newsletter, where I try to curate the latest and greatest from Open Source Posit! I'd love to hear how I can make it more helpful and digestible to folks, since there is so much awesome stuff happening. posit.co/blog/glimpse...

posit::glimpse() Newsletter – April 2026

posit.co

👇 Calling all RStudio users who now [also] use Positron 👇 I’m making a Positron tutorial for my @emlab.ucsb.edu colleagues, who primarily use RStudio - what should I include to ease the transition? I'd love to hear your tips, fave resources/tutorials, or how shifting to a new IDE went for you!

Positron may be out of beta since last July, but I've only just recently transitioned my R workflow from RStudio ➡️ Positron and I LOVE IT. For other RStudio users who may not have dabbled yet, here are some of the reasons I haven't opened my beloved RStudio in months 😮

Ever come back to an #rstats project and…it just doesn’t work anymore? Or struggle to keep up with all the latest R packages & tools, much less integrate them into your code? Keeping R workflows up-to-date can feel daunting - but luckily, @rladiessb.bsky.social has some thoughts ⤵️

Hello, all! 👋 I'm Danielle, and I’m truly stoked to be this week’s rotating curator 🥳 💫 A brief intro: I am a marine scientist at @emlab.ucsb.edu, where I use #rstats to research and support the sustainable use of ocean resources 🌊 🐟

This week’s #RLadies curator is @dferraro.bsky.social.

We are covering 40 people's travel, lodging, and registration for posit::conf() this fall! If you are from a group that is underrepresented in data science or open source, please consider applying for the Opportunity Scholarship—we'd love to have you join. posit.co/blog/apply-t...

WE WANT YOU! 🫵 Our organiser @kylieainslie.bsky.social is leaving us to go Down Under. 🦘 We're looking for new organisers to continue with @josefina-bernardo.bsky.social to keep @rladiesamsterdam.bsky.social the wonderful community it is. If you're in NL and interested, please get in touch! 💜

Kylie Ainslie, PhD@kylieainslie.bsky.social · 11mo ago

Last week marked the end of my time at @rivm-nl.bsky.social. I'm excited to be joining @thedohertyinst.bsky.social and The University of Melbourne as Modelling for Policy Lead!

My #RoCur period is coming to an end. After this week, my heart is full & I feel so grateful to be part of this community! 💜 We talked about #DataViz on #TidyTuesday, the #rainbowR conference and #Rstats for #SEM 📈 For more of that you can find me here: @josefina-bernardo.bsky.social 🤓 #Rladies

One of the questions in our @rainbowr.org 📊 workshop, was "could you make the beeswarm chart interactive?" 🐝 The answer is "yes, you can" and here's how: nrennie.rbind.io/blog/interac... #RStats #DataViz #ggplot2 #VisLGBTQ

Interactive beeswarm charts in R – Nicola Rennie

Interactive beeswarm charts are a great way to show distributions whilst still allowing users to see individual data points. This blog post shows how to make them entirely in R.

nrennie.rbind.io

Nicola Rennie@nrennie.bsky.social · 5mo ago

Inspired by #TidyTuesday & LGBTQ+ History Month myself and @kenglish.bsky.social are challenging people to produce visualisations using UK census data on LGBTQ+ people 📊 Share your #DataViz and code via GitHub or on here using #VisLGBTQ Here's one we made in today's @rainbowr.org workshop 🐝

Today I debugged code for a simulation study on the association of home environment and child development 🤓📚 Previous versions of this plot included random jitters due to some unknown cause (looking at you #OpenMx 👀) but I fixed it now 📈 How have you used #RStats this week? #Rladies #ggplot2

It’s a wrap! 🌈 The @rainbowr.org conference closed with a keynote by @hadley.nz on Claude 💻 Thank you to @ellakaye.co.uk @damiepak.bsky.social Katlyn, Lea @tinarozsos.bsky.social @northernmaps.bsky.social @oberman.bsky.social @ddsjoberg.bsky.social @statsrhian.bsky.social for organizing 🫶

So, a thread about how I have learned #SEM in #R as a #PhD student in #StatisticalGenetics. I’ve heard SEM be described as a “system of regressions”, but in addition to observed variables, we also have latent/unobserved variables. We can represent these variables in a path diagram (lavaan.org) :

Whew, and it's done! Thanks to everyone who came to my RainbowR workshop on LLMs for Data Analysis in #rstats! First time with that content in front of an audience, so I appreciate the excellent questions folks asked (and double thanks to everyone who filled in the feedback forms!)

Lovely first day of the #rainbowR conference with a trivia quiz and social by @libbyheeren.bsky.social and @damiepak.bsky.social 🥰🌈 Planning to finally post about #SEM tomorrow. If you have questions about working with SEM or you use #lavaan or #OpenMx please let me know in the comments! #RStats

#rainbowR conf is todayyyyy! And tomorrow. If you're registered, join @damiepak.bsky.social and I for a short trivia game in about an hour-ish! And then, a quick social 🥳 #rstats #rainbowrconf

A thread on pipes since my #RoCur period fell right in the middle of a #baseR |> vs. #magrittr %>% debate: I was fully ready to advocate for the base R pipe, but yesterday I wanted to use cor() at the end of a pipe and Stack Overflow (yes, I know) reminded me of this gem: mtcars %$% cor(disp, mpg)

Hadley Wickham@hadley.nz · 5mo ago

You need to mix base and magrittr pipes