Customize your shinydashboard with CSS

You can use cascading style sheets (CSS) to further customize a shinydashboard.

There are several ways to do this. Although it is advisable to create a separate CSS file in practice, in this exercise, you will include CSS code directly in body.

Here, you will see how CSS formatting is applied, but don't be intimidated if you don't know CSS! You will only need to modify existing CSS code here.

The header and side bar has been stored as header and sidebar.

This exercise is part of the course

Building Dashboards with shinydashboard

View Course

Exercise instructions

Change the background color of the header to hex code "#000000" in line 10.
Change the background color of the header (when hovered over) to "gray" in line 14.
Now that you have seen everything that makes up a shinydashboard, you can explore a little by modifying the code in any way you like.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

body <- dashboardBody(
  tags$head(tags$style(HTML('
      .main-header .logo {
        font-family: "helvetica",  serif, Times, "Times New Roman";
        font-weight: bold;
        font-size: 24px;
      }
	  /* Change the background-color to hexcode #000000 */
      .skin-blue .main-header .logo {
                background-color: #999999; 
      }
	  /* Change the hovered over color to gray */
      .skin-blue .main-header .logo:hover {
                background-color: white; 
      }
      .skin-blue .main-header .navbar {
                background-color: #999999;
      } 
      .content-wrapper, .right-side {
         background-color: #252525;
      }
      '))),
          fluidRow(box(selectInput("stock", "Stock name", choices = c("AAPL", "DIS")))),
          fluidRow(valueBoxOutput("name", width = 2), 
                   valueBoxOutput("open", width = 2), 
                   valueBoxOutput("close", width = 2), 
                   valueBoxOutput("high", width = 2), 
                   valueBoxOutput("low", width = 2), 
                   valueBoxOutput("vol", width = 2)),
          fluidRow(box("This stock is in your portfolio", width = 2, status = "success"),
                   valueBoxOutput("open_pct", width = 2), 
                   valueBoxOutput("close_pct", width = 2), 
                   valueBoxOutput("high_pct", width = 2), 
                   valueBoxOutput("low_pct", width = 2), 
                   valueBoxOutput("vol_pct", width = 2)),
          fluidRow(box(plotlyOutput("line")), 
                   box(radioButtons("feature", "Features", 
                       choiceNames = c("Open", "Close", "High", "Low", "Volume"),
                       choiceValues = c("open", "close", "high", "low", "volume")) ) )
          )

ui <- dashboardPage(header, sidebar, body)

server <- function(input, output) {
  output$name <- renderValueBox(valueBox("Stock name", get_name(input$stock), color = "black"))
  output$open <- renderValueBox(valueBox("Open price", most_recent(input$stock, "open"), color = "black"))
  output$close <- renderValueBox(valueBox("Close price", most_recent(input$stock, "close"), color = "black"))
  output$high <- renderValueBox(valueBox("High", most_recent(input$stock, "high"), color = "black"))
  output$low <- renderValueBox(valueBox("Low", most_recent(input$stock, "low"), color = "black"))
  output$vol <- renderValueBox(valueBox("Volume", most_recent(input$stock, "volume"), color = "black"))
  output$open_pct <- renderValueBox(valueBox("Change", paste0(most_recent_pct(input$stock, "open"),"%"), color = box_color(most_recent_pct(input$stock, "open"))))
  output$close_pct <- renderValueBox(valueBox("Change", paste0(most_recent_pct(input$stock, "close"),"%"), color = box_color(most_recent_pct(input$stock, "close"))))
  output$high_pct <- renderValueBox(valueBox("Change", paste0(most_recent_pct(input$stock, "high"),"%"), color = box_color(most_recent_pct(input$stock, "high"))))
  output$low_pct <- renderValueBox(valueBox("Change", paste0(most_recent_pct(input$stock, "low"),"%"), color = box_color(most_recent_pct(input$stock, "low"))))
  output$vol_pct <- renderValueBox(valueBox("Change", paste0(most_recent_pct(input$stock, "volume"),"%"), color = box_color(most_recent_pct(input$stock, "volume"))))
  output$line <- renderPlotly(plot_line(input$stock, input$feature))
}

shinyApp(ui, server)

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