Poursuite du déploiement de l’appli avec la mise en ligne de quelques réseaux sémantiques. #shinyapps #rstats #humanites_numeriques

We are happy to share that alongside nine full-length sessions, this year’s conference (8–9 October) also features a lineup of fast-paced 5‑minute lightning talks.

#ShinyInProduction #RStats #RShiny #ShinyApps #DataScience
https://www.jumpingrivers.com/blog/shiny-in-production-2025-lightning-lineup/

Shiny in Production 2025: Lightning Talk Lineup

We are pleased to announce the lightning talks for this year's Shiny in Production conference! In this blog post, we've pulled together all of the talk abstracts to give you a full view of what to expect!

Jumping Rivers - Data Science Training and Consultancy

This year’s Shiny in Production Conference workshops cover the key aspects of building effective, production-ready Shiny apps:

Testing for {shiny} with Colin Fay
Asynchronous Shiny with Russ Hyde
Maps in Shiny with Pedro Silva
Figma & UI Design for Shiny with Keith Newman

More details & registration: https://shiny-in-production.jumpingrivers.com/#schedule

#ShinyInProduction #RStats #RShiny #ShinyApps

https://www.jumpingrivers.com/blog/shiny-in-production-2025-workshop-announcement/

Hold up, you can *what* when debugging Shiny now?? It used to be hard to debug Shiny but now you can basically give your app a colonoscopy.

https://shiny.posit.co/r/articles/improve/debugging/

#RStats #ShinyApps

Shiny - Debugging Shiny applications

Shiny is a package that makes it easy to create interactive web apps using R and Python.

Shiny
My brand new weather toy
And yes, doing some shinyR in the background
#bresser
#rstats
#shinyapps

Reminder: The abstract submission deadline for this year's Shiny in Production Conference is just two weeks away!

Don't miss your chance to share your insights, innovations, and experiences with the Shiny & R community. Submit your abstract and be part of an exciting lineup of speakers!

📅 Deadline: 20th of March
🔗 More details in the link below.

#Rstats #ShinyInProduction #DataScience #ShinyApps
https://shiny-in-production.jumpingrivers.com/

This week's Shiny in Production video is from Gareth Burns with "Shiny in Secondary Education". In this talk, he explores how Shiny applications can enhance the teaching of Statistics and Data Science to the next generation.

#ShinyApps #Rstats #DataScience #ShinyinProduction
https://www.youtube.com/watch?v=Uk35p_lXMT8

Gareth Burns: Shiny in Secondary Education

YouTube
Reduced bundle size from 5.5Mb to 2.5ish Mb
Eliminated unnecessary uioutputs
moved lists to server (for selecinput)
eliminated unnecessary load of tables
added delay's to reduce network Rx Tx issues
changed shinydashboard to bslib
ufff etc etc
still to do more testing but almost two month's work is about to end
#shiny #shinyapps
About to finish a project
Formating the downloadble xlsx
I want to just finish it
But the #shinyapps is so pretty that I can't just create a whatever xlsx, it has to be pretty
Every time you do a dbReadTable in a #shinyapps,
Stop
Breathe
Ask yourself "do I really need the whole table or better use 'select' for specific columns?"
(Object.size is your friend too)
#rstats