#Rshiny
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dslc.io
Recent DSLC.io club meetings:

🔵🟢 DevOps4DS: Application Administration youtu.be/xUCRzNY29_c

🔵 Outstanding ShinyUI: Shiny and modern web development & Chapter 29 What to do next youtu.be/uZ_0r0HWmBk

Visit dslc.video for new #DataScience videos every week!

#dataBS #RStats #PyData #DevOps #RShiny
Devops for Data Science: Application Administration (do4ds02 10)
YouTube video by Data Science Learning Community Videos
youtu.be
November 8, 2025 at 5:09 PM
dslc.io
Recent DSLC.io club meetings:

🔵🟢 DevOps4DS: Linux Administration youtu.be/9v0k9VmduWc

🔵 Outstanding Shiny UI: Shiny and React with {reactR} youtu.be/3vhNVxSChDg

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

#dataBS #RStats #PyData #DevOps #RShiny
Devops for Data Science: Linux Administration (do4ds02 9)
YouTube video by Data Science Learning Community Videos
youtu.be
October 26, 2025 at 4:35 PM
plastiverse.bsky.social
We're excited about this brand-new #RShiny-powered web app developed by Professor Andrew Rate's team @ioauwa.bsky.social al to easily visualize polymer spectra from the FLOPP/FLOPP-e libraries without instrument software!

www.plastiverse.org/tools/compan...
October 15, 2025 at 7:02 PM
plastiverse.bsky.social
Mapping the invisible world of #microplastics?
Try #OpenSpecy, #siMPle, and #FLOPP-E (with its brand-new RShiny viewer) - open tools that turn raw FTIR/Raman spectra into clear polymer IDs.

Which spectral tool do you use most?

🔗 www.plastiverse.org/tools?_resou...

#PlasticPollution #Spectroscopy
October 15, 2025 at 7:02 PM
adamjkucharski.bsky.social
Want to build an interactive dashboard so others can explore epidemic scenarios? For COVID, @ngdavies.bsky.social spearheaded a great drag-and-drop approach, which made use of the JavaScript-based nature of RShiny... 1/
October 8, 2025 at 9:44 AM
libbyheeren.bsky.social
Where has my buddy Eric been? I haven't seen him around as much 🤔

OH JUST BUILDING A NEW SHINY PACKAGE NO BIG 😤😤

#databs #rstats #rshiny
rpodcast.bsky.social R-Podcast (Eric) @rpodcast.bsky.social · Sep 26
A day after my #positconf2025 presentation, I'm delighted to share that my new package {shinystate} has arrived on CRAN!

Learn how {shinystate} supercharges bookmarkable state and more in this blog post: shinydevseries.com/blog/2025-09...

(Even Dr. Light & Dr. Wily like it too 🤖 )

#RStats #Shiny
September 27, 2025 at 4:14 AM
jrwinget.bsky.social
Last week, I went from long-time attendee to first-time speaker at #PositConf2025. I shared how behavioral science can help #rshiny cut user friction and build kinder tools. Even ended with #rstats contributions.

I couldn't be more grateful! Recap 👇
jrwinget.com/blog/2025-09-25_posit-conf-journey
From First-Time Attendee to Speaker: My posit::conf Journey – Jeremy R. Winget, PhD
Seven years of growth, community, and bridging behavioral science with R tooling at posit::conf
www.jrwinget.com
September 25, 2025 at 7:26 PM
jrwinget.bsky.social
Big thanks to everyone who packed into Shiny for Humans at #PositConf2025 yesterday! And for your great questions. It was a fun way to kick off conf! Here’s to chipping away at user obstacles with a bit of cognitive engineering. Updated slides are in the BID Framework repo
#rstats #rshiny #ux
**Alt text:** Slide titled “Your Turn: Start Today” on a purple background. The center-left contains a large empty white box where R code would normally appear. On the right, a heading reads “Resources:” with space beneath it where a bulleted list would normally be. A footer at the bottom says “posit::conf(2025) | jrwinget.com”.
September 18, 2025 at 3:56 PM
schloerke.com
Thank you for attending the #PositConf2025 Shiny session and all of your great questions! I'm excited to see the @opentelemetry.io integrations improve over time 🎉

🗣️: Observability at scale: Monitoring Shiny Applications with OpenTelemetry
🐙: github.com/schloerke/pr...

#RStats #RShiny
Observability at scale: Monitoring Shiny Applications with OpenTelemetry * Minimal configurations * Profile in development and production * Multi-process support * Increasing package adoption Barret Schloerke Posit - Shiny Team @schloerke
September 17, 2025 at 6:15 PM
jonthegeek.com
I'm in the "Shiny for Humans" session. First up: "Modular, layout-as-code approach for customizable Shiny dashboards" by Kim Schouten from NZa (Dutch Healthcare Authority)

#PositConf2025 #RStats #RShiny
September 17, 2025 at 2:28 PM
dslc.io
Recent DSLC.io club meetings:

🔵🟢 DO4DS: Logging and Monitoring youtu.be/e7UxrWIOD_4

🔵 Shiny UI: Introduction & Chapter 23 Reconstruct {shinyMobile} (Part 1) youtu.be/nrOf0AQGyUk

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

#dataBS #RStats #PyData #DevOps #RShiny #DataScience
Devops for Data Science: Logging and Monitoring (do4ds02 4)
YouTube video by Data Science Learning Community Videos
youtu.be
September 15, 2025 at 2:19 PM
veerle.hypebright.nl
Great start of the week! 🤗

If you want to share your #rstats #rshiny mobile experience, you can reach out to Julian here: www.linkedin.com/posts/julian...

And I would also love to hear about your mobile adventures, so keep me in the loop! 👀
January 20, 2025 at 7:05 AM
posit.co
We're excited for #ShinyConf2025!

Posit's Carson Sievert will talk about "Building LLM-Powered Shiny apps via ellmer and chatlas"

Learn more and see the full agenda at www.shinyconf.com/agenda.

#RShiny #ShinyForPython #rstats
Shiny Conference 2025. Carson Sievert. Building LLM-Powered Shiny apps via ellmer and chatlas.
March 24, 2025 at 12:26 AM
coatless.bsky.social
Introducing dockitect: A new #rstats 📦 for programmatically creating and managing Dockerfiles 🐳 with pipe-friendly syntax!

Quickly containerize your R projects with specialized templates for scripts, #rshiny apps, and more.

📝: blog.thecoatlessprofessor.com/programming/...
A hexagonal logo for "dockitect" with a blue border. Inside the hexagon is a grid background with five blue squares arranged in a pattern (three in the top row, two below). Various drafting tools are scattered throughout including a compass, triangle ruler, straight ruler, pencil, and eraser. The word "dockitect" appears at the bottom of the hexagon in blue font. Screenshot showing a complete workflow for containerizing a Shiny app. Left panel shows R code that: Creates a Dockerfile using dockitect's template for Shiny Sets R version 4.4.0, port 3838, and app directory library(dockitect) dk_template_shiny( r_version = "4.4.0", port = 3838, app_dir = "shiny_app/" ) |> write_dockerfile() Builds with: docker build --platform linux/amd64 -t my-shiny-app . Runs with: docker run -p 3838:3838 my-shiny-app Right panel shows the running Shiny app with "Hello Docker!" and a histogram of waiting times. Terminal displays Shiny server logs. Screenshot of RStudio showing code for creating an interactive R environment with Docker. The code includes: Generate a Dockerfile with specific packages including "visualize" library(dockitect) dk_template_base( r_version = "4.4.3", additional_pkgs = c("visualize") ) |> write_dockerfile() Build the image with: docker build -t r-interactive . Run interactively with: docker run -it -v $(pwd):/app r-interactive R The terminal shows R 4.4.3 running with its standard startup message, license information, and help commands. Screenshot of RStudio IDE showing code for generating a Dockerfile for data analysis using the dockitect package. The code demonstrates: Generate the Dockerfile using library(dockitect) dk_from_script("analysis.R") |> write_dockerfile() Build the Docker image with: docker build -t my-analysis . Run with volume mounting: docker run -v $(pwd)/data:/app/data -v $(pwd)/results:/app/results my-analysis The cell output shows successful execution with the message "Dockerfile written to Dockerfile". The terminal shows Docker build details and the results from automatically running the script including the mapped data output in the file panel.
March 31, 2025 at 10:04 AM
valrobert974.bsky.social
Petite appli #rshiny
April 3, 2025 at 5:54 AM
jonthegeek.com
Someone did a deep dive looking into this over on Mastodon. I'm trying to find the thread. Maybe it was @lwpembleton.bsky.social ? I'm continuing to dig... In my memory it has something to do with the #RShiny logo (which was created independently for jerseys, I think?), but maybe that's not 1st
November 25, 2024 at 4:12 PM
bsky.chrisbrownlie.com
Its the first ‘This Week in R’ of 2025!

Including: getting started with {targets}; automating file management with {fs}; supercharging your #shiny software development and visualising the core R source code. All this and more below!

#rstats #news #blog #rshiny

www.linkedin.com/pulse/week-r...
This week in R (2025-01-10)
Starting 2025 with: {targets} analysis pipelines; exploring the constituent languages of R; levelling up your Shiny skills and {fs} file management automation!
www.linkedin.com
January 10, 2025 at 10:12 AM
dslc.io
Recent DSLC.io club meetings:

🔵 Outstanding Shiny UI: JavaScript for Shiny (Part 2) youtu.be/bLn3kT_bz9Q

From the aRchives:

🔵 RWTF: Cohort 1 Introduction youtu.be/nqDlyIKEjn0

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

#dataBS #RShiny #RStats
Outstanding User Interfaces with Shiny: JavaScript for Shiny (Part 2) (shinyui02 10)
YouTube video by Data Science Learning Community Videos
youtu.be
February 2, 2025 at 1:07 PM
posit.co
Join us for Appsilon's ShinyConf 2025!
Shiny is our favorite way for data scientists to build webapps from R or Python. And ShinyConf brings the Shiny Dev community together in one place to learn & share.

Learn more at register free at www.shinyconf.com

#rshiny #posit #pyshiny
Shiny conf 2025. shiny on with shiny
December 11, 2024 at 6:44 PM
jasminedaly.bsky.social
📦 I’m excited to share a new #rstats package I’ve been working on: {shinyfa} built to help folks working on large or unfamiliar #rshiny apps ✨

The package scans your app folders and extracts out details on render*(), reactive() and input$ to a dataframe!

📖 www.dalyanalytics.com/blog/shinyfa...
Introducing {shinyfa}: Analyze Large Shiny App Codebases Faster with This R Package | Daly Analytics
Discover {shinyfa}, a new R package designed to improve developer experience by analyzing and summarizing the structure of large Shiny applications. Perfect for consultants, teams, and contributors wo...
www.dalyanalytics.com
May 19, 2025 at 1:47 PM
jasminedaly.bsky.social
Hex stickers have arrived! 🎉

I'm prepping the first round of mailings — if you want one of these shiny (yes, shiny and #rshiny — pun 100% intended) hex stickers, make sure you're on the list:
👉 forms.gle/CPraTfmntm6D...

#databs #rstats
Hex stickers on a black background
August 1, 2025 at 5:53 PM
knotcknot.bsky.social
Biomarkers Episode 2 coming soon.
My thanks to folks who like the app
youtu.be/QRc6ss6PcKY
that the video series is based on:
@dszlosek.bsky.social
#rshiny @rshiny.bsky.social
@matloff.bsky.social
@webdata.bsky.social
@effectivealtruist.bsky.social
@econmaett.github.io
bsky.app
November 5, 2025 at 2:54 AM
jakub-sobolewski.bsky.social
Want to get code coverage report, but not share your private code with codecov.io? Use cobertura-action.

In R the most popular way to get the code coverage report is to use codecov.io with usethis::use_coverage. But there is another way:

#r #rstats #shiny #rshiny #rtests
December 12, 2024 at 8:35 AM
jumpingrivers.com
This week's Shiny in Production video is from our very own Pedro Silva, in which he goes through methods for evaluating the quality and potential risks associated with R packages.

Check the link in the comments for this year's Shiny in Production Conference!

#RStats #RShiny #ShinyInProduction #DS
Pedro Silva: Convincing IT that R packages are safe
R packages are essential tools for data science, but how reliable are they? This talk will explore methods for evaluating the quality and potential risks associated with R packages, focusing on key factors like community engagement, development activity, documentation standards, and code quality. We’ll discuss the toolset used as the standard at Jumping Rivers for validating packages with clients, offering advanced scoring methods, customizable risk thresholds, and the ability to incorporate data from external sources to deliver a more comprehensive assessment of package risks.
www.youtube.com
February 14, 2025 at 11:30 AM
jaedynruli.bsky.social
t.co/cYiVd53JsN

#2025MMM

It's a month late, but this is my first Shiny app based on March Mammal Madness (it's not a perfect copy, I gave up w the WildCard).

I'm pretty proud of this code since I am learning R as my hobby. Love any (constructive) feedback!

#RStats #RShiny
https://jaedynruli.shinyapps.io/MarchMammalMaddness2025_JL/
t.co
April 8, 2025 at 9:19 PM