Add an interactive table output
There are multiple htmlwidgets packages like DT, leaflet, plotly, etc. that provide highly interactive outputs and can be easily integrated into Shiny apps using almost the same pattern. For example, you can turn a static table in a Shiny app into an interactive table using the DT package:
- Create an interactive table using
DT::datatable(). - Render it using
DT::renderDT(). - Display it using
DT::DTOutput().
In this exercise, you will update the app created previously, replacing the static table with an interactive table.
この演習はコースの一部です
Building Web Applications with Shiny in R
演習の手順
- Create an interactive table output using
DTwith top 10 most popular names by sex and year. You can use the functiontop_10_names()to generate a data frame to display, and pass it toDT::datatable(). - Display the table in the UI.
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("What's in a Name?"),
# Add select input named "sex" to choose between "M" and "F"
selectInput('sex', 'Select Sex', choices = c("M", "F")),
# Add slider input named "year" to select year between 1900 and 2010
sliderInput('year', 'Select Year', min = 1900, max = 2010, value = 1900),
# MODIFY CODE BELOW: Add a DT output named "table_top_10_names"
tableOutput('table_top_10_names')
)
server <- function(input, output, session){
top_10_names <- function(){
babynames %>%
filter(sex == input$sex) %>%
filter(year == input$year) %>%
slice_max(prop, n = 10)
}
# MODIFY CODE BELOW: Render a DT output named "table_top_10_names"
output$table_top_10_names <- renderTable({
top_10_names()
})
}
shinyApp(ui = ui, server = server)