Pas je shinydashboard aan met CSS

Je kunt cascading style sheets (CSS) gebruiken om een shinydashboard verder aan te passen.

Er zijn verschillende manieren om dit te doen. Hoewel het in de praktijk aan te raden is om een apart CSS-bestand te maken, voeg je in deze oefening CSS-code direct toe in body.

Hier zie je hoe CSS-opmaak wordt toegepast, maar laat je niet afschrikken als je geen CSS kent! Je hoeft hier alleen bestaande CSS-code aan te passen.

De header en sidebar zijn opgeslagen als header en sidebar.

Deze oefening maakt deel uit van de cursus

Dashboards bouwen met shinydashboard

Bekijk cursus

Oefeninstructies

Verander de achtergrondkleur van de header naar hex-code "#000000" op regel 10.
Verander de achtergrondkleur van de header (bij hover) naar "gray" op regel 14.
Nu je alles hebt gezien waaruit een shinydashboard is opgebouwd, kun je vrij experimenteren door de code aan te passen zoals jij wilt.

Interactieve oefening met praktijkervaring

Probeer deze oefening door deze voorbeeldcode aan te vullen.

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)

Code bewerken en uitvoeren