Recent @DSLC club meetings:
An Introduction to Statistical Learning with Applications in Python: Survival Analysis and Censored Data https://youtu.be/SPPVmRb2Ij8 #PyData #DeepLearning #AI
From the @DSLC 
chives:
Mastering Shiny: Basic UI https://youtu.be/hBYkhLT9xfo #RStats #RShiny
Efficient R Programming: Efficient workflow https://youtu.be/TpPFbZ0Z0-k #RStats
Visit https://dslc.video for hours of new #DataScience videos every week!
MASTODON
Recent @DSLC club meetings:
An Introduction to Statistical Learning with Applications in Python: Deep Learning https://youtu.be/f19nIgi0Cgg #PyData #DeepLearning #AI
From the @DSLC chives:
ShinyUI: Shiny and modern web development & What to do next https://youtu.be/wZWKx2NHXkw #rshiny #RStats
Data Science at the Command Line: Obtaining Data https://youtu.be/22RIMaIEv00 #RStats
Visit https://dslc.video for hours of new #DataScience videos every week!
Do you use R? Would you like to play a part in sustaining it? Find out about the R Dev Day that is returning as a satellite event to Shiny in Production 2025.
Recent @DSLC club meetings:
Outstanding Shiny UI: Testing and validating templates elements https://youtu.be/5mkwgsxzW4U #RStats #RShiny
From the @DSLC chives:
Advanced R: Functionals https://youtu.be/tYqFMtmhmiI #RStats
Methods for Network Analysis: Bridges, Holes, the Small World Problem, & Simulation https://youtu.be/jQXJetgVCoY #RStats
Visit https://dslc.video for hours of new #DataScience videos every week!
Recent @DSLC club meetings:
Outstanding Shiny UI: Adding more interactivity https://youtu.be/62RpcLDFU1M #RStats #RShiny
pharmaverse Examples: BDS ppt + start of the example https://youtu.be/WT90o2FjHgo #RStats #pharma #pharmaverse
An Introduction to Statistical Learning with Applications in Python: Support Vector Machines https://youtu.be/Ikn4q7di0LU #PyData #DeepLearning #AI
Visit https://dslc.video for hours of new #DataScience videos every week!
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/
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/
Recent @DSLC club meetings:
Health Metrics and the Spread of Infectious Diseases: COVID-19 Outbreaks - part 2 https://youtu.be/zHhC9fsvEIk #RStats
Outstanding Shiny UI: Create template elements https://youtu.be/rErmTHv3gB8 #RStats #RShiny
From the @DSLC chives:
Feature Engineering: Illustrative Example: Predicting Risk of Ischemic Stroke https://youtu.be/0j-2e2bKMwM #RStats
Visit https://dslc.video for hours of new #DataScience videos every week!
From the @DSLC chives:
ISLP: Resampling Methods https://youtu.be/qsshBRQJO3g #pydata #python #machineLearning
R for Data Science: Functions https://youtu.be/GyfC1MgP_fw #RStats
Mastering Shiny: Packages https://youtu.be/nBuA9gV5uZ8 #PyData #PyShiny #RShiny #RStats
Mastering Shiny: 18 (part 2) & 19 (part 1) https://youtu.be/5YmZiyVgUeg #RStats
Visit https://dslc.video for hours of new #DataScience videos every week!
Recent @DSLC club meetings:
Health Metrics and the Spread of Infectious Diseases: COVID-19 Outbreaks - part 1 https://youtu.be/vsk_U52KgWQ #RStats
From the @DSLC chives:
DSLC Shiny Club: 2025-02-28 https://youtu.be/qo3ge3Qck6Q #PyShiny #RShiny #RStats
Explanatory Model Analysis: Local Interpretable Model-agnostic Explanations (LIME) https://youtu.be/huz9bVCMtrE #RStats
Visit https://dslc.video for hours of new #DataScience videos every week!
Happy Sunday! I’ve been working on a new #rshiny demo for my Church to analyze YouTube Livestream stats 
️
Features:
historical & comparative data viz
data refresh with rate limits + async
string parsing to add valuable context for seasons
dalyanalytics.shinyapps.io/ccsg/
From the @DSLC chives:
Advanced R: Q&A with Hadley Wickham https://youtu.be/WBDLLZTJ_QE #RStats
R for Data Science: Model basics https://youtu.be/N0DBBFZ5t6A #RStats
Mastering Shiny: General guidelines https://youtu.be/eq1RQOW5Ftc #rShiny #RStats #shiny
R Packages: How do I set up my system and get started? https://youtu.be/3r-EPc9XqxE #RStats
Visit https://dslc.video for hours of new #DataScience videos every week!
Useful keyboard shortcuts I just learned:
RStudio: Ctrl + P jumps between matching parentheses/brackets
Positron: Cmd + Shift + \ (Mac)
It’s been really helpful for navigating nested functions in #rshiny without scrolling around looking for the right bracket…which I frequently do 
I’ve got a few #RStats and #PyData related items (NLP/ML books + an #RShiny t-shirt and a rare Posit/RStudio challenge coin kindly donated by @sellorm on auction at the eBay link below if anyone’s interested.
100% of the proceeds are going to either Dean Farm Trust or Teckels Animal Sanctuaries (I don’t work at either!) depending on the item.
Recent @DSLC club meetings:
Health Metrics and the Spread of Infectious Diseases: Spatial Data Modelling and Visualisation https://youtu.be/9jF8ffpK92c #RStats
Outstanding Shiny UI: Define dependencies https://youtu.be/k2yHBGRr2XM #RStats #RShiny
From the @DSLC chives:
ISLR: Resampling Methods Part 2 https://youtu.be/Sa5xUFazPQY #RStats
Visit https://dslc.video for hours of new #DataScience videos every week!
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!
Useful for onboarding, audits, or just getting oriented as a new project member!
Still experimental and feedback is very welcomed!
https://github.com/dalyanalytics/shinyfa
Blog: https://www.dalyanalytics.com/blog/shinyfa-announcement
Interfaces Shiny pour le support à la recherche : Vendredi 6 juin 2025 https://russ.site.ined.fr/fr/annee-2024-2025/interactivite1/ "Cette communication présente les approches modernes de développement web avec R, en particulier via Shiny pour la création d’applications interactives."
#RShiny devs, don't miss this post by Mike Page about an useful and simple tool to draft your apps!
"Introducing shinydraw: a no-code tool for shiny wireframing"
Sharing a few R errors I hit this week in order of dplyr::desc(*annoyance*):
object of type 'closure' is not subsettable
unknown column warnings
object 'x' not found
leaked pool object detected
error writing to connection
object cannot be coerced to type 'double'
I made some birdhouses and a bird shiny app!
Can you guess which one took longer to build? 
I love combining my skills in #rstats + engineering + hobbies
The #rshiny CT Priority Bird Species app is deployed on Posit Connect Cloud: https://019669fd-c3a2-a236-f8cb-a7568038d5e9.share.connect.posit.cloud/
