用 CSS 客製化你的 shinydashboard
你可以使用層疊樣式表（CSS）進一步客製化 shinydashboard。
有多種方式可做到這點。實務上建議另外建立一個 CSS 檔案，不過在本練習中，你會把 CSS 程式碼直接放在 body 裡。
這裡你會看到如何套用 CSS 格式化，但是如果你不熟 CSS，也別擔心！你只需要修改現有的 CSS 程式碼即可。
標頭與側邊欄已分別儲存在 header 與 sidebar。
本練習屬於課程
使用 shinydashboard 建立儀表板
練習說明
- 在第 10 行把標頭的背景色改成十六進位色碼「#000000」。
- 在第 14 行把標頭（游標移過時）的背景色改成「gray」。
- 既然你已經看過組成一個 shinydashboard 的所有部分，現在可以自由探索，隨意修改程式碼。
動手互動練習
試著完成這個範例程式碼，體驗一下這個練習。
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)