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/flexdashboard/
3. Shiny Widgets gallery
See dozens of example reactive widget input / outputs for shiny
shiny.rstudio.com/gallery/widget…
4. shinyWidgets by dreamrs
Advanced & customizable reactive widgets that can really take your shiny apps to the next level
dreamrs.github.io/shinyWidgets/i…
5. HTML Widgets
Interactive visuals for shiny apps
htmlwidgets.org/showcase_leafl…
6. Shiny JS
Makes it easy to add JavaScript actions to your shiny apps.
deanattali.com/shinyjs/
7. Bslib
Upgrade shiny From Bootstrap 3 to 4 or 5 and makes it easy to make custom themes.
rstudio.github.io/bslib/
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/r-cheatsheet.h…
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/free-rtrack-ma…
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