Alien sightings: tab layout

As-is, the app is sort of busy with the graph on top of the table. Given that this is a dashboard, it might be nice to instead separate the two outputs.

The last step in building your dashboard is to take the plotOutput() and tableOutput() you've built and add the tab layout.

この演習はコースの一部です

Building Web Applications with Shiny in R

コースを見る

演習の手順

Add the tab panel layout and the two tabs. The first one should contain the plot, and the second one should contain the table. Feel free to name them whatever makes sense to you!

実践的なインタラクティブ演習

このサンプルコードを完成させて、この演習に挑戦してみましょう。

ui <- fluidPage(
  titlePanel("UFO Sightings"),
  sidebarPanel(
    selectInput("state", "Choose a U.S. state:", choices = unique(usa_ufo_sightings$state)),
    dateRangeInput("dates", "Choose a date range:",
      start = "1920-01-01",
      end = "1950-01-01"
    )
  ),
  # MODIFY CODE BELOW: Create a tab layout for the dashboard
  mainPanel(
    plotOutput("shapes"),
    tableOutput("duration_table")
  )
)

server <- function(input, output) {
  output$shapes <- renderPlot({
    usa_ufo_sightings %>%
      filter(
        state == input$state,
        date_sighted >= input$dates[1],
        date_sighted <= input$dates[2]
      ) %>%
      ggplot(aes(shape)) +
      geom_bar() +
      labs(
        x = "Shape",
        y = "# Sighted"
      )
  })

  output$duration_table <- renderTable({
    usa_ufo_sightings %>%
      filter(
        state == input$state,
        date_sighted >= input$dates[1],
        date_sighted <= input$dates[2]
      ) %>%
      group_by(shape) %>%
      summarize(
        nb_sighted = n(),
        avg_duration_min = mean(duration_sec) / 60,
        median_duration_min = median(duration_sec) / 60,
        min_duration_min = min(duration_sec) / 60,
        max_duration_min = max(duration_sec) / 60
      )
  })
}

shinyApp(ui, server)

コードを編集して実行