https://github.com/taylorperkins/Shiny-Dashboard-Template

Shiny Dashboard Template With Appropriate File Structure
https://github.com/taylorperkins/Shiny-Dashboard-Template

boilerplate r shiny shiny-apps shinydashboard template

Last synced: 3 months ago
JSON representation

Shiny Dashboard Template With Appropriate File Structure

• Host: GitHub
• URL: https://github.com/taylorperkins/Shiny-Dashboard-Template
• Owner: taylorperkins
• Created: 2018-02-24T22:40:20.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-02-06T22:59:52.000Z (almost 6 years ago)
• Last Synced: 2024-06-11T11:49:13.880Z (5 months ago)
• Topics: boilerplate, r, shiny, shiny-apps, shinydashboard, template
• Language: R
• Size: 3.91 KB
• Stars: 20
• Watchers: 3
• Forks: 22
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• jimsghstars - taylorperkins/Shiny-Dashboard-Template - Shiny Dashboard Template With Appropriate File Structure (R)

README

        
# Shiny-Dashboard-Template

I have seen a ton of examples for either [Shiny](https://shiny.rstudio.com/) or [Shiny Dashboard](https://rstudio.github.io/shinydashboard/) apps 

with all of the code living in either one file, or two files (ui and server).

I personally like to compartmentalize my code in a way that's manageable, and easy to break out or re-use.

**With that being said**, I created this repo to serve as a template for Shiny Dashboard apps. Really basic, nothing crazy, simplistic file structure. If there is anything I missed, feel free to create a pr :) Like I said, this is a template/boilerplate. 

### Get It Running

1. Make sure you have [R](https://cran.r-project.org/doc/manuals/r-release/R-admin.html) installed *(Pretty important step in this process lol)*

2. Through your favorite R interface, be sure you `install.packages` for both shiny and shinydashboard.

3. Clone this repo

4. You should be good to go!! Make sure your cwd is set to the base level of this repo. run `shinyApp()` in your console, or click the `Run App` button in RStudio.

Good luck, and happy coding :)