https://rstudio.github.io/shinydashboard/

https://www.rdocumentation.org/packages/shinydashboard/versions/0.6.1

https://rdrr.io/cran/shinydashboard/api/

https://wikitech.wikimedia.org/wiki/Building_a_Shiny_Dashboard

flexDashboard가 rmarkdown기반이라면, ShinyDashboard는Shiny기반이다.   
상용 dashboard도 있다. cf> tableau https://www.tableau.com

http://datadrivensecurity.info/blog/posts/2015/Jan/building-security-dashboards-with-r-and-shiny-shinydashboard/

 

 

library(shiny)
library(shinydashboard)

# Setup ShinyApp UI components -------------------------------------------
header  <- dashboardHeader()
sidebar <- dashboardSidebar()
body    <- dashboardBody()

ui <- dashboardPage( skin="black",
          header, 
          sidebar, 
          body
      )

# Setup ShinyApp Server(back-end) components ------------------------------
server <- function(input, output, session) { 
          }

# Render Shiny app --------------------------------------------------------
shinyApp(ui, server)

Header

 

dash_header  <- dashboardHeader(title="Dashboard Template", dropdownMenu(type="notifications"))

Sidebar

dash_sidebar <- dashboardSidebar(
                    menuItem("TAB First",   tabName ="tab01", icon=icon("line-chart")),
                    menuItem("TAB Second",  tabName ="tab02", icon=icon("database"))
                )

dash_sidebar <- dashboardSidebar(
                   sidebarMenu(id = "sidebarmenu",
                        menuItem("TAB First",   tabName ="tab01", icon=icon("line-chart")),
                        menuItem("TAB Second",  tabName ="tab02", icon=icon("database"))
                    )
                )

Body

dash_body    <- dashboardBody(
                    fluidRow(
                        box(title="Column", status="primary", width=NULL, collapsible=T,
                            selectInput("t1p1_dataset", label="Data Set:", choices="Not selected!"),
                            actionButton("Btn_load_t1p1_dataset", "Load")
                        )
                    )
                )

server <- function(input, output, session) { 
            output$histogram <- renderPlot({
                                        hist(faithful$eruptions)
                                })
          }

Sidebar의 Tab과 연결

library(shiny)
library(shinydashboard)

# Setup ShinyApp UI components -------------------------------------------
dash_header  <- dashboardHeader(title="Dashboard Template", dropdownMenu(type="notifications"))
dash_sidebar <- dashboardSidebar(
                   sidebarMenu(id = "sidebarmenu",
                        menuItem("TAB First",   tabName ="tab01", icon=icon("line-chart")),
                        menuItem("TAB Second",  tabName ="tab02", icon=icon("database"))
                    )
                )
dash_body    <- dashboardBody(
                    tabItems(
                        tabItem(tabName="tab01",
                            fluidRow(
                                box(title="Column", status="primary", width=NULL, collapsible=T,
                                    selectInput("t1p1_dataset", label="Data Set:", choices="Not selected!"),
                                    actionButton("Btn_load_t1p1_dataset", "Load"),
                                    plotOutput("histogram")
                                )
                            )
                        ),
                        tabItem(tabName="tab02",
                            h1("TEST")
                        )
                        
                    )
                )

ui <- dashboardPage( skin="black",
          dash_header, 
          dash_sidebar, 
          dash_body
      )

# Setup ShinyApp Server(back-end) components ------------------------------
server <- function(input, output, session) { 
            output$histogram <- renderPlot({
                                        hist(faithful$eruptions)
                                })
          }

# Render Shiny app --------------------------------------------------------
shinyApp(ui, server)