šŸ”„ Matt Dancho (Business Science) šŸ”„
šŸ”„ Matt Dancho (Business Science) šŸ”„

@mdancho84

10 Tweets 2 reads Jan 05, 2023
Shiny is a powerful tool that data scientists can use for web apps & production.
But most data scientists struggle.
Here are 7 resources on shiny that helped me.
#rstats #shiny #excel #python
1. The Shiny website
The 1st place to go to learn shiny.
shiny.rstudio.com
2. Flexdashboard website
Flexdashboard combines Rmarkdown & Shiny to make quick apps.
pkgs.rstudio.com
3. Shiny Widgets gallery
See dozens of example reactive widget input / outputs for shiny
shiny.rstudio.com
4. shinyWidgets by dreamrs
Advanced & customizable reactive widgets that can really take your shiny apps to the next level
dreamrs.github.io
5. HTML Widgets
Interactive visuals for shiny apps
htmlwidgets.org
6. Shiny JS
Makes it easy to add JavaScript actions to your shiny apps.
deanattali.com
7. Bslib
Upgrade shiny From Bootstrap 3 to 4 or 5 and makes it easy to make custom themes.
rstudio.github.io
And if you want all of these 7 R packages plus 93 more in one consolidated #cheatsheet, download my ultimate #R cheat sheet.
business-science.io
One last resource.
If you've been struggling to learn R, I’d like to help.
I put together a free R webinar that consolidates the 10 secrets that helped me in my career.
learn.business-science.io

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