Co-founder of Appsilon Data Science, previously worked at Accenture, UBS, Microsoft and Domino Data Lab. Avid swimmer, dabbler of psychology.
Joined September 2014
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Damian Rodziewicz retweeted
Our first #keynote announcement! 🎉
Celebrate 10 years of innovation, explore upgrades, and discover #Shiny's impact in #pharma and #softwaredevelopment. Tune in for this insightful journey into Shiny's legacy. Save the dates: 17-19.04.2024!
Find more: go.appsilon.com/1st-keynote
ALT Shaping the Next 10: The Bright Future of Shiny
Damian Rodziewicz retweeted
Win our limited #RShiny T-shirt! 🚀
The only thing you have to do is show up at our booth and answer a few Shiny questions. Who's up for the challenge? 🏆
#positconf #positconf2023
ALT Win our limited R Shiny T-shirt at posit::conf 2023!
Damian Rodziewicz retweeted
Curious about how open-source R and Shiny are transforming the Pharmaceutical Industry?💊
Find the answers in our blog post by André Veríssimo and Ismael Rodriguez. Discover applications and R packages we’ve developed for the pharmaceutical industry: go.appsilon.com/g
Damian Rodziewicz retweeted
How to make your Shiny dashboard run faster?🏃♂️
The answer has Ryszard Szymański, our R/Shiny Developer!
Join his talk on Speeding Up Plots in R/Shiny to find out: posit.co/conference/
ALT Join the Appsilon Team at posit::conf in Chicago and get to know more about speeding up plots in R Shiny!
Damian Rodziewicz retweeted
📢 Announcing {rhino} 1.5.0: A significant update to streamline your #RShiny development workflow within the #RStudio IDE. Dive in now!
Explore now:
Blog Post - appsilon.com/rhino-1-5-0-add…
Documentation - appsilon.github.io/rhino/
#RStats #Rhinoverse
Damian Rodziewicz retweeted
Who says @posit_pbc Connect is just for #RStats 📊 and #Python 🐍?
Our team has paved the way for #Rust 🦀 #Actix APIs.
Learn more: appsilon.com/deploy-rust-api…
🚀 #TechInnovation
Damian Rodziewicz retweeted
🚀 {shiny.emptystate} transforms empty UI elements into meaningful components. Curious about what to use as an empty state component? Check out an example with {shiny.semantic} from #Rhinoverse!
🔗 appsilon.github.io/shiny.sem…
🔗 appsilon.github.io/shiny.emp…
#RStats #RShiny
Damian Rodziewicz retweeted
🚀 Guess what? 🚀
{shiny.emptystate} has just landed on CRAN! 🎊
Meet a new member of #Rhinoverse and learn how to easily manage situations when there is nothing (yet) to show in your #RShiny application.
Check the documentation to learn more: appsilon.github.io/shiny.emp…
#RStats
Damian Rodziewicz retweeted
Optimizing #RShiny applications with webR is a game-changer 🤯 By leveraging browser-based computation, we witness a significant reduction in server load and enhanced responsiveness.
Dive deeper into the technical insights: appsilon.com/bringing-webr-i…
#webR #RStats
Damian Rodziewicz retweeted
The new version of {rhino} gives you the ability to write parts of #RShiny application in React 💪🧙♂️
Thanks to the integration with {shiny.react}, you can now create stunning and tailor-made components with ease!
🔗appsilon.github.io/rhino/art…
#RStats
Damian Rodziewicz retweeted
🧬We have released shiny.molstar: An open-source R package for large-scale molecular data visualization.
Our R package combines the power of Mol* (molstar.org/) and shiny.react (lnkd.in/d7r--nkw
How to-guide: lnkd.in/dh3NuuUm
#DrugDiscovery #Pharma
Damian Rodziewicz retweeted
No more editing `dependencies.R` and calling `renv::snapshot()`🎉
The new {rhino} version comes with super handy shortcuts for managing dependencies: `rhino::pgk_install` and `rhino::pkg_remove` 🧙♂️💪
🔗appsilon.github.io/rhino/ref…
#RStats #RShiny
Damian Rodziewicz retweeted
💡 Discover the power of {data.validator} and {targets} for scalable and reproducible data validation in our new tutorial!
Check it out: appsilon.github.io/data.vali…
#DataScience #RStats
Damian Rodziewicz retweeted
#Rhinoverse gives you tools to build a complete #RShiny web app:
👉 {rhino} - the app core, dev tools
👉 {shiny.fluent}, {shiny.blueprint} - UI
👉 {shiny.telemetry} - tracking
👉{shiny.router}, {shiny.i18n} - routing, translations
and more...
🔗rhinoverse.dev/
#RStats
Damian Rodziewicz retweeted
Understanding user actions is the key to improving your #RShiny app.
{shiny.telemetry} was built precisely to do that - gather information about user activity💪
By default, it tracks:
👉session start/end
👉browser version
👉changes in inputs
🔗appsilon.github.io/shiny.tel…
#RStats
Damian Rodziewicz retweeted
How to take the scalability of #RShiny apps to a whole new level❓
Use #webR to offload heavy computations to the browser!🎉
Play with this demo, which solves the traveling salesman problem: connect.appsilon.com/appside…
#RStats #RProgramming
Damian Rodziewicz retweeted
{shiny.telemetry}, allows you to store #RShiny app user's interaction using predefined data storage solutions:
👉 JSON
👉 SQLite
👉 MariaDB/MySQL
👉 PostgreSQL
👉 Plumber
And if this is not enough, you can add your own one💪
Check docs for more: appsilon.github.io/shiny.tel…
#RStats
Damian Rodziewicz retweeted
Why does {rhino} need Node.js?
It gives you the ability to use modern web tools:
👉 bundling JS - Babel and webpack
👉 linting JS - ESLint
👉 bundling Sass - Dart Sass
👉 linting Sass - Stylelint
👉 running e2e tests - Cypress
Read more: appsilon.github.io/rhino/art…
#RStats #RShiny
Damian Rodziewicz retweeted
When you launch a {rhino} #RShiny application, 'rhino::app()' is called.
But why is it there?
It is in charge of:
👉clearing {box} cache
👉configuring logger
👉configuring static files
👉loading the main module
👉adding CSS and JS
Read more: appsilon.github.io/rhino/art…
#RStats