dslc.io

We're spinning up new book clubs at DSLC.io, and a great facilitator wants help choosing which book to lead a cohort through next. Please see the poll in the reply! #dataBS #RStats #Quarto #RShiny

🚀 Learn to turn your R analyses into interactive web apps! Join our Introduction to R Shiny workshop online, 9–10 June with @drmattg.bsky.social

Hands-on, beginner-friendly, no web dev needed. Build, customize & deploy your own apps! 🌐💻

www.physalia-courses.org/courses-work...

#RShiny #Rstats

R Shiny is incredible for data products.

I deployed two energy dashboards on shinyapps.io — interactive maps, filters, comparisons across 56 countries.

From raw CSV to live web app. All in R.

energtx.com/request-analysis

#RStats #RShiny #Shiny #DataViz #TidyTuesday

Built two R Shiny dashboards for global energy data:

Global Energy Explorer — country profiles, choropleth maps, rankings for 130+ indicators.

Emissions Tracker — CO₂, GHG, methane with sector breakdowns.

Both free, no login.
energtx.com/request-analysis

#RStats #RShiny #DataViz #TidyTuesday

Two free R Shiny dashboards for global energy data:

⚡ Energy Explorer — 56 countries, 130+ indicators, maps & rankings
⚡ Emissions Tracker — CO₂, GHG, sector breakdowns

No login needed.
energtx.com/request-analysis

#RStats #RShiny #DataViz #Energy #OpenData #TidyTuesday

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Are you trying to learn how to do something data-related in #RStats, #PyData, #JuliaLang, #RustLang, and/or #JavaScript? We currently have **2203** videos at DSLC.video! If you learn something through them, reply to the video to let us know! #DataBS #DataScience #AI #MachineLearning #RShiny #PyShiny

From the DSLC.video aRchives:

🔵 Mastering Shiny: Chapters 6: Layouts, themes, HTML & 7: Graphics youtu.be/W01MoW3AWpY

🔵 R for Data Science: Logical vectors youtu.be/crc1zcEKBWQ

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

#dataBS #RStats #RShiny

From the DSLC.video aRchives:

🔵 🟢 Mastering Shiny: The reactive graph youtu.be/1tU3ZKfrx2o

🔵 Statistical Rethinking: youtu.be/ESdG_sF3Px8

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

#dataBS #PyData #PyShiny #RShiny #RStats

Dashboard-style web app titled "NICAR 2026 Posts on Bluesky from Jan. 13 to Feb. 26." At the top are three large summary tiles showing total posts, unique authors, and total likes. A left sidebar lets you select a date range and filter by authors (with checkboxes) and optionally show only posts containing external URLs, plus a button to download the current dataset. The main area contains a searchable, filterable table of posts with columns for timestamp, post text snippet, author, likes, reposts, replies, and tags; entries include links to open the original post. [Alt text by ChatGPT]

Browse, search, and filter all the NICAR 2026 posts on Bluesky R Shiny app collects all the posts with the #NICAR26 or #NICAR2026 hashtags
App: apps.machlis.com/shiny/nicar2...
#RStats code: github.com/smach/bskyconf
#RShiny
[Did this for Twitter years ago, now updated]

If your safety review still lives in a 300-page PDF, we need to talk.🛑

Switch to interactive R Shiny applications. Filter, drill down, and spot signals faster.

See how Atorus builds Data That Does: www.atorusresearch.com/analytics-en...

#DataThatDoes #Atorus #RStats #RShiny

Working on Shiny apps for the passed few weeks, boy am I glad the browser() function exists. It makes it so much easier to walk through reactives as they're being evaluated. Check it out if you've ever felt stuck working on a massive Shiny app!

#rstats #rshiny

Just curious if anyone has ever tried shinylive at the same time as webexercises and whether the two play nicely with each other?

#rstats
#rshiny
#shinylive

Can you see the LMS/website behind me? 👀

It’s @athlyticz.bsky.social and I’m excited to share that I’ll be joining the leadership team! Exciting times 🤩.

My role will be to help streamline ops, bring in more awesome instructors (lmk if you are one 😎), and help the platform scale!

#edtech #rshiny

From the DSLC.io aRchives:

🔵 🟢 Mastering Shiny: Dynamic UI youtu.be/6dwz-Tl5L3E

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

#dataBS #PyData #PyShiny #RShiny #RStats

mirai is the recommended async backend for Shiny, the only backend for plumber2, the parallel backend for purrr, and powers targets and ragnar.

Learn `daemons()` + `mirai()` and you've learned the async primitives behind the modern R stack.

`install.packages("mirai")`

#RStats #Tidyverse #RShiny

Screenshot of a NICAR 2026 Session Explorer interface showing filtered results for data visualization sessions on Friday morning. On the left panel, a user question reads: "Are there any dataviz sessions Friday morning?" The AI response lists four sessions: Customizing ggplot for yourself or your organization Fri 10:15 am, Room 209 Speaker: Kaitlyn Radde, Pew Research Center Learn how to create customized ggplot graphics packages for publication-ready visualizations. Connect with skeptical and disengaged audiences … with data! Fri 11:30 am, White River G Speakers: Eva Constantaras, Lighthouse Reports; Aaron Mendelson, The Trace; Max Siegelbaum, Documented Discover innovative ways to present and explain data to engage skeptical audiences. QGIS 2: Analyzing geographic data Fri 10:15 am, Room 204 Learn to explore, manipulate, and analyze geographic datasets to gain new insights. QGIS 1: Spatial analysis for beginners Fri 9 am, Room 204 Learn to make your own maps using QGIS, including importing and displaying geographic data. A note at the bottom says: "Please verify with the official schedule." The right panel is a session directory table with the same four sessions, showing titles, times, speakers, rooms, skill levels, and recording status. [Alt text by ChatGPT]

Conference app chatbot built in R that:
- Answers schedule questions
- Includes both chatbot and searchable table
- One-click button filters table to see only sessions AI bot mentions
Code: github.com/smach/NICAR2...
App: smach-nicar2026-chatbot.share.connect.posit.cloud
#RStats #RShiny #NICAR26

From the DSLC.io aRchives:

🔵 Bayes Rules! (Normal) Hierarchical Models with Predictors youtu.be/Fbuwz4hJTno

🔵 Mastering Shiny: General guidelines & Functions youtu.be/7b5UQvzgPxo

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

#dataBS #RStats #rshiny

The Art of Rapid App Prototyping How we turned structural engineering PDFs into an interactive climb tracker for Alex Honnold's historic Taipei 101 free solo

Here is a guide for rapid text extraction from structural engineering blueprints of the Taipei 101 building, resulting in an interactive Shiny App of Alex Honnold's ascent. How we prompt in the thread below! #rshiny #rstats #dataviz

Data Viz concept for Alex Honnold's ascent up Taipei 101.

Structural engineering data scraped from this paper: global.ctbuh.org/resources/pa...

#rstats #rshiny #data #datascience #data

From the DSLC.io aRchives:

🔵 Outstanding User Interfaces with Shiny: Design widgets & Fine tune {shinyMobile} youtu.be/QvbME3uOlfE

🔵 R for Data Science: R Markdown youtu.be/wAzYA01hojo

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

#dataBS #rshiny #RStats

VST-DAVis: An R shiny Application and web-browser for Spatial Transcriptomics Data Analysis and Visualization. #SpatialTranscriptomics #DataVisualization #RNAseq #Rshiny #Bioinformatics @bioinfoadv.bsky.social 🧪🧬 🖥️
academic.oup.com/bioinformati...

#rstats #rshiny #datascience #rstats #shinyapp #rpackagedevelopment #softwaretesting | Barret Schloerke shinytest2 0.5.0 is Now Available on CRAN I'm excited to announce the release of shinytest2 0.5.0, bringing significant improvements to the R package testing experience for Shiny applications! 🚀 Key Features: Local Package Development Support One of the most requested features is here! `AppDriver$new(app_dir=)` now supports local package development. As long as you have `library()` or `require()` call in your `app.R`, `{shinytest2}` automatically executes `pkgload::load_all()` to load your local R package's source code. This means you no longer need to install your package before testing—a huge time-saver during development! Function Execution Support You can now pass functions directly to `AppDriver$new(app_dir=)`. This provides flexibility for testing apps with dynamic configurations or custom execution environments, such as Shiny packages made using `{golem}`! The function runs in a background R process, similar to `{mirai}`, with full control over the testing environment. Enhanced Package Testing Workflow This release introduces `local_app_support()` and `with_app_support()`, providing package authors with a flexible way to scope app support files within tests. Package authors can now test Shiny applications directly within their package's existing`{testthat}` tests removing the need for calling `test_app()`. This will collect all snapshots in a single location using the package's existing testing infrastructure. Improved Test Recording `record_test()` gained a `record_in_package` parameter that intelligently saves test files to the appropriate location—either in the package's `tests/testthat/` directory or relative to the app's test directory. When recording tests for apps inside packages, `local_app_support()` is automatically added to the testing code. Modernized HTTP Stack Migrated from `{httr}` to `{httr2}` for all HTTP requests, ensuring compatibility with modern R web tooling and better long-term maintenance. 📚 Learn More: - Package website: https://lnkd.in/dt9ZtezY - Use-package vignette: https://lnkd.in/dvv7VRXj - GitHub: https://lnkd.in/dF6rF3CB #rstats #rshiny #DataScience #RStats #ShinyApp #RPackageDevelopment #SoftwareTesting

Baret Schloerke on shinytest2 0.5.0

www.linkedin.com/posts/schloerke_rstats-r...

#RShiny #RStats

Hexagonal logo for the shinytest2 R package. The top half features a blue background with "shiny" in white text, styled similar to the Shiny package logo. The bottom half has a red-orange background with "test2" in a bold, playful font reminiscent of the testthat package logo, creating a visual blend of both frameworks.

🎉 shinytest2 v0.5.0 is now on CRAN!

✨ AppDriver now auto-loads local packages - no more installing required!
🔧 Pass functions directly to AppDriver$new(app_dir=). Ex: Golem's run_app()
📦 New local_app_support() & with_app_support() helpers

rstudio.github.io/shinytest2/

#rstats #rshiny

From the DSLC.io aRchives:

🔵 DSLC Project Club: Forecasting Energy Demand Using R youtu.be/LXw62uoEf3M

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

#dataBS #RShiny #dataScience #RStats #shiny

The Surreal Shiny app in dark mode displaying a Jack-o-Lantern demo. The source panel shows a pumpkin shape rendered as a scatter plot, while the residuals panel reveals the same jack-o-lantern face with triangular eyes and jagged mouth, reconstructed from 5,395 points.

Screenshot of the Surreal Shiny app with "Custom Text" selected as the source. The left panel shows "Hello R World!" as plain text, while the right panel displays the same text reconstructed from 3,328 regression residual points.

Screenshot of the Surreal Shiny app showing a side-by-side comparison. On the left, the orange Reddit logo with Snoo mascot. On the right, a scatter plot of 8,160 points that perfectly recreates the Reddit logo through regression residuals.

Hexagonal logo for the surreal R package. Dark blue background with "SURREAL" in white block letters at the bottom, where some letters have an outlined style. Above the text, white and light blue circles of varying sizes scatter upward, dense near the bottom and sparse at the top, evoking a residual plot rising from the package name.

{surreal} 0.0.2: now featuring the "oh that would be convenient" update

1. Load images directly with surreal_image()
2. Explore everything in a Shiny app with surreal_app()

Sometimes the sequel has better quality-of-life features.

#rstats #rshiny #dataviz

shinyapps.io Documentation - Migration

shinyapps.io Documentation - Migration
shinyapps.ii moving to Posit Cloud Connect by end of 2026.

https://docs.posit.co/shinyapps.io/guide/migration/

#RStats #RShiny

Screenshot of a GitHub pull request #4339 titled "chore(license): Change license from GPL-3 to MIT." The PR shows a purple "Merged" badge indicating it was merged by user cpsievert 13 minutes ago, with 5 commits from the branch "migrate-gpl-to-mit-license" into main. The description by contributor karangattu explains the PR closes issue #4208 and updates the Shiny package licensing from GPL-3 to MIT License.

Shiny for R: GPL-3 → MIT ✨

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

#rstats #rshiny

I am building a shiny app that interacts with a pgSQL db this is hosted on AWS RDS with the app being deployed on an AWS EC2. I have made dockerfile and GHA that build GHCR and deploy the app but stumbled upon {golem} a bit after the fact.

Do ppl have examples of usage of {golem}.
#Rstats #Rshiny

AssociationExplorer: A user-friendly shiny application for exploring associations and visual patterns

📢 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!

🔗 Publication: doi.org/10.1016/j.so...

Shiny for R v1.12 is here with built-in OpenTelemetry support! 🎉

Trace sessions and reactive calculations in production with zero code changes. Just install {otel}/{otelsdk} and set your env vars.

Learn more: shiny.posit.co/blog/posts/s...

#RStats #RShiny #OpenTelemetry