From the @DSLC :rstats:​chives:

:rstats: Data Science in Education Using R: Walkthrough 3 https://youtu.be/Z5KRaOgW0sk #RStats

:rstats: Mastering Shiny: Reactive building blocks https://youtu.be/BiliSGguMAk #RStats #rshiny

:rstats: Mastering Shiny: Bookmarking https://youtu.be/gB70zh1MkLk #RStats

:rstats: ggplot2: Annotations https://youtu.be/4mPGJ7Ouq2c #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

Shiny for R: GPL-3 → MIT ✨

Your dashboards are now legally chill. Deploy without consulting three lawyers and a ouija board first.

#rstats #rshiny

📢 Our paper "AssociationExplorer: A user-friendly Shiny application for exploring associations and visual patterns" is now published in SoftwareX!

An open-source #RShiny app to explore associations in multivariate data.

Thanks to all co-authors!

🔗 https://doi.org/10.1016/j.softx.2025.102483

Recent @DSLC club meetings:

:rstats: Fundamentals of Data Visualization: & Chapter 27 Understanding the most commonly used image file formats https://youtu.be/CoGn5oqgxT4 #RStats #PyData #DataViz

From the @DSLC :rstats:​chives:

:rstats: Mastering Shiny: Packages https://youtu.be/c8_wLTlrMOk #rShiny #RStats #shiny

:rstats: Feature Engineering: Global Search Methods https://youtu.be/wT3KfW2gUgM #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

Recent @DSLC club meetings:

:rstats::python: Devops for Data Science: Application Administration https://youtu.be/xUCRzNY29_c #RStats #PyData #DevOps

:rstats: Outstanding Shiny UI: Shiny and modern web development & 29 What to do next https://youtu.be/uZ_0r0HWmBk #RStats #RShiny

From the @DSLC :rstats:​chives:

:rstats: Generative AI Handbook: Chapters 9, 10 https://youtu.be/D5gPrijHQhA #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

From the @DSLC :rstats:​chives:

:rstats: DSLC Shiny Club: Session 2025-03-07 https://youtu.be/k4OyXTu-j7c #PyShiny #RShiny #RStats

:python: Python for Data Analysis: Introduction https://youtu.be/dP42YWsVIGo #PyData

:python: An Introduction to Statistical Learning with Applications in Python: Statistical Learning https://youtu.be/o14V5-0q-UU #AI #DeepLearning #pyData #artificialIntelligence

Visit https://dslc.video for hours of new #DataScience videos every week!

Recent @DSLC club meetings:

:rstats: :python: Devops for Data Science: Linux Administration https://youtu.be/9v0k9VmduWc #RStats #PyData #DevOps

:rstats: Outstanding Shiny UI: Shiny and React with {reactR} https://youtu.be/3vhNVxSChDg #RStats #RShiny

Visit https://dslc.video for hours of new #DataScience videos every week!

Recent @DSLC club meetings:

:rstats::python: Devops for Data Science: The Command Line https://youtu.be/W8V0pAGyPck #RStats #PyData #DevOps

:rstats: Outstanding Shiny UI: Design widgets & 26 Fine tune {shinyMobile} https://youtu.be/QvbME3uOlfE #RStats #RShiny

From the @DSLC :rstats:​chives:

:rstats: Methods for Network Analysis: Finding Groups in Networks https://youtu.be/JyQ_wa-4b1U #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

From the @DSLC :rstats:​chives:

:rstats: Bayes Rules! Balance and Sequentiality in Bayesian Analyses https://youtu.be/VCo4CZJNBAs #RStats

:rstats: Regression and Other Stories: Continued https://youtu.be/OiDgo_ZQZYc #RStats

:python: :rstats: Mastering Shiny: The reactive graph https://youtu.be/1tU3ZKfrx2o #PyData #PyShiny #RShiny #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

First Shiny dashboard made in a minute. It's quite a bit better than it was a few years back, but I still felt the need to (foolishly*) use AI just to get the foundation in place! Quite happy with how it looks and performs. Alluvial plots have also gotten much easier to control over the last couple years, too.

* The foundation of a Shiny dashboard is so copy-paste heavy and arguably boring (or relaxing if I spin it)...but I still feel like using AI was a trap that only added more time than it saved. Spending two hours last Friday to go through the AI slop code and re-write it sped up the processing from ~30 seconds per query to ~1 second. Absolute trash code.

#RStats #RShiny

From the @DSLC :rstats:​chives:

:rstats: ggplot2: Extending ggplot2 https://youtu.be/ChslMsK5JSc #RStats

:python: :rstats: Mastering Shiny: Case study: ER injuries https://youtu.be/-T2rKdISEaA #PyData #PyShiny #RShiny #RStats

:rstats: R for Data Science: Exercises https://youtu.be/WZ5Wzvtnx2s #RStats

:rstats: Tidy Modeling with R: Stacks! https://youtu.be/J8rZ1u4PhM8 #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

Recent @DSLC club meetings:

:rstats::python: Devops for Data Science: Demystifying Docker https://youtu.be/ZOG1QOkT8s0 #RStats #PyData #DevOps

:rstats: Outstanding Shiny UI: {shinyMobile} and PWA https://youtu.be/vE1d3hqdOJk #RStats #RShiny

From the @DSLC :rstats:​chives:

:rstats: R for Data Science: Dates and times https://youtu.be/hTZi5uj1oeU #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

Recent @DSLC club meetings:

:rstats::python: Devops for Data Science: Deployments and Code Promotion https://youtu.be/h-oadm6ZUCM #RStats #PyData #DevOps

:rstats: Outstanding Shiny UI: Reconstruct {shinyMobile} (Part 2) https://youtu.be/0l3-OZq0mRk #RStats #RShiny

From the @DSLC :rstats:​chives:

:rstats: R for Data Science: Data tidying https://youtu.be/MPCCiw42eLI #RStats

Visit https://dslc.video for hours of new #DataScience videos every week!

From the @DSLC :rstats:​chives:

:rstats: Tidy Modeling with R: (A model workflow) https://youtu.be/sNrJrEiPF0U #RStats

:rstats: DSLC Project Club: {oregonfrogs} https://youtu.be/KDngQp3h8DU #RStats

:rstats: Advanced R: Subsetting https://youtu.be/CvvXkXiF3Ig #RStats

:rstats: Mastering Shiny: Packages https://youtu.be/c8_wLTlrMOk #rShiny #RStats #shiny

Visit https://dslc.video for hours of new #DataScience videos every week!

Recent @DSLC club meetings:

:rstats::python: Devops for Data Science: Logging and Monitoring https://youtu.be/e7UxrWIOD_4 #RStats #PyData #DevOps

:rstats: Outstanding Shiny UI: Introduction & 23 Reconstruct {shinyMobile} (Part 1) https://youtu.be/nrOf0AQGyUk #RStats #RShiny

:rstats: :python: DSLC Project Club: Writing a Syllabus with Typst https://youtu.be/WCKR6YvS8xc #RStats #PyData #DataScience

Visit https://dslc.video for hours of new #DataScience videos every week!

Linux support 🐧

Same #rshiny → desktop workflow on #Fedora 42 aarch64:

shinyelectron::export() → #rshinylive → #AppImage → portable #Linux app

Plot twist: no more "go buy yourself a real computer" moments - you get zero R dependencies too! The condescending Unix users have won this round.

#rstats #electron

Recent @DSLC club meetings:

:rstats::python: Devops for Data Science: Databases and Data APIs https://youtu.be/UiyMPIzM3V8 #RStats #PyData #DevOps

:rstats: Outstanding Shiny UI: Automate new template creation with {charpente} https://youtu.be/G5Ukp3wUT5A #RStats #RShiny

From the @DSLC :rstats:​chives:

:python: Python for Data Analysis: Plotting and Visualization https://youtu.be/nQyPdr34dNQ #PyData

Visit https://dslc.video for hours of new #DataScience videos every week!

By request: Same #rshiny app → native
#electron desktop app, now on #Window 11

shinyelectron::export() → #rshinylive → installer → app.exe

[Worth the Parallels license to record this from my Mac]

Still no #rstats dependencies for end users. Living the cross-platform life (virtually).

Ask your data natural-language questions in R or Python with the querychat package! Bonus: You never send that data to an LLM.

My step-by-step InfoWorld tutorial using NFL game data (first day of the season tonight!) as an example:
https://www.infoworld.com/article/4040535/chat-with-your-data-the-easy-way-in-r-or-python.html

#RStats #Python #InfoWorld #RShiny

Prototyping #rshiny apps to native #electron desktop apps:

shinyelectron::export() → #rshinylive conversion → .dmg → Native Mac app

Zero #rstats dependencies for end users! Early days but promising 👀