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@instats.bsky.socialOct 9, 2026, 9:19 PM

New Instats livestreaming seminar: Introduction to Longitudinal Analysis & Multilevel Modeling #Business #Economics #DataScience #Statistics #ggplot2 #R #Tidyverse #Research #ResearchTraining #Instats

@joscelinrocha.comOct 9, 2026, 4:06 PM

Using the Tidyverse with Databases (Part 2)

By Vebash Naidoo — Take your dbplyr skills further! This follow-up explores more advanced database interactions using tidyverse syntax in R.

🔗 Read here: buff.ly/UWl9rrP

More R resources 👉 buff.ly/tTCN5MD

#RStats #tidyverse #Databases 🚀

@dslc.ioOct 9, 2026, 12:56 PM

From the DSLC.video aRchives:

🔵 usethis docs: Package setup youtu.be/edjAvUWg6qw

🔵 tidyverse docs: Cohort 1 Introduction youtu.be/s791Sh9qwgE

Support the Data Science Learning Community at patreon.com/DSLC

#dataBS #RStats #tidyverse

@wombat.numbat.spaceOct 8, 2026, 4:00 AM

Hadley Wickham was keynote of the first WOMABT. Take a while to go back to 2016 and re-experience his talk in preparation for this year's #WOMABT2026.

www.youtube.com/watch?v=hRNU...

Register to Hadley's tutorial here: wombat.numbat.space/program/tuto...

#RStats #tidyverse

@dslc.ioOct 6, 2026, 6:32 PM

It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io!
#RStats #PyData #JuliaLang #RustLang #DataViz #DataScience #DataAnalytics #data #tidyverse #DataBS

@shikokuchuo.netOct 6, 2026, 10:18 AM

I'm talking about what I'm working on right now. This is not a retrospective. Sign up through the link below!

#Rstats #Tidyverse #Rshiny

@jonthegeek.comOct 5, 2026, 7:38 PM

@dslc.io welcomes you to week 40 of #TidyTuesday! We're exploring Avocado Oil Authenticity!

📂 https://tidytues.day/2026/2026-10-06
📰 https://www.ucdavis.edu/food/news/avocado-oil-chip-youre-eating-may-not-be-made-pure-avocado-oil

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.PCA biplot of fatty acid profiles from oils extracted from processed foods. Samples classified as consistent with authentic avocado oil cluster together on the right, clearly separated from inconsistent samples that cluster near vegetable oil comparators on the left, demonstrating that chemical fingerprinting can reliably distinguish authentic avocado oil from adulterated products.
@shikokuchuo.netOct 3, 2026, 9:36 AM

TokyoR enjoyed the world premiere of mizu today, and Mizu-chan stole the show: lock-free shared-memory parallelism for R, plus a Python binding on the same C core.

Repos are open but pre-release, and the API will change. Feedback welcome on GitHub.
github.com/shikokuchuo/...

#RStats #Tidyverse

@dslc.ioSep 29, 2026, 6:20 PM

It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io!
#RStats #PyData #JuliaLang #RustLang #DataViz #DataScience #DataAnalytics #data #tidyverse #DataBS

@jonthegeek.comSep 28, 2026, 6:48 PM

@dslc.io welcomes you to week 39 of #TidyTuesday! We're exploring Health metrics in urban centres worldwide!

📂 https://tidytues.day/2026/2026-09-29
📰 https://human-settlement.emergency.copernicus.eu/ghs_ucdb_2024.php

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.Exterior of a modern hospital building at dusk, with a brick and glass facade lit from within, a colorful sculpture of a child holding balloons on the wall, young trees and a landscaped walkway in front, and a U.S. flag near the entrance. Photo by Acton Crawford on Unsplash, https://unsplash.com/photos/brown-and-white-concrete-building-near-green-trees-under-blue-sky-during-daytime-8PB_TFEy2XQ
@dslc.ioSep 23, 2026, 1:48 PM

It's (the day after, sorry!) #TidyTuesday y'all! Show us what you made on our Slack at dslc.io!
#RStats #PyData #JuliaLang #RustLang #DataViz #DataScience #DataAnalytics #data #tidyverse #DataBS

@jonthegeek.comSep 23, 2026, 1:42 PM

@dslc.io welcomes you to week 38 of #TidyTuesday! We're exploring Average share of green areas across cities!

📁 https://tidytues.day/2026/2026-09-22
📰 https://data.unhabitat.org/pages/open-spaces-and-green-areas

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.A map of the world, with each country colored in shades of yellow-green by the average share of urban area that is green, by country in 2020. Portugal, Belize, and Fiji appear to be the most green at about 25-30% green in urban areas.
@instats.bsky.socialSep 17, 2026, 11:42 PM

New Instats livestreaming seminar: Introduction to Longitudinal Analysis & Multilevel Modeling #Business #Economics #DataScience #Statistics #ggplot2 #R #Tidyverse #Research #ResearchTraining #Instats

@shikokuchuo.netSep 16, 2026, 6:38 PM

Thrilled to have just presented "Never block, never copy. mirai + mori from Shiny to the cluster" at posit::conf(2026).

The slides are available here: shikokuchuo.net/posit2026

mirai: mirai.r-lib.org
mori: shikokuchuo.net/mori/

#tidyverse #rshiny #positconf2026

Never block. Never copy. install.packages(c("mirai", "mori"))
@instats.bsky.socialSep 16, 2026, 1:00 PM

Last chance to register for Tidy Data, Visualisation, and AI #ComputationalBiology #InformationScience #SoftwareEngineering #Statistics #DataScience #ggplot2 #R #tidyverse #Research #ResearchTraining #Instats

@dslc.ioSep 15, 2026, 5:11 PM

It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io!
#RStats #PyData #JuliaLang #RustLang #DataViz #DataScience #DataAnalytics #data #tidyverse #DataBS

@jonthegeek.comSep 14, 2026, 4:58 PM

@dslc.io welcomes you to week 37 of #TidyTuesday! We're exploring Dead Sea Scrolls Manuscripts!

📂 https://tidytues.day/2026/2026-09-15
📰 https://www.deadseascrolls.org.il/

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.Bar chart showing manuscript copy counts by biblical book, with deuterocanonical books highlighted in orange alongside protocanonical books in blue.
@dslc.ioSep 8, 2026, 4:46 PM

It's #TidyTuesday y'all! Show us what you made on our Slack at https://dslc.io!
#RStats #PyData #JuliaLang #RustLang #DataViz #DataScience #DataAnalytics #data #tidyverse #DataBS

@jonthegeek.comSep 7, 2026, 4:26 PM

@dslc.io welcomes you to week 36 of #TidyTuesday! We're exploring The Cappuccino Index!

📁 https://tidytues.day/2026/2026-09-08
🗞️ https://www.youtube.com/watch?v=WtlE3BW9Nqs

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.Coffee beans.