问题
I am trying to display a data table with 'n' number of columns as shown below
Begin Date | EndDate | Month | Year | Count of Students
2/1/2014 | 1/31/2015 | Jan | 2014 | 10
3/1/2014 | 2/28/2015 | Feb | 2014 | 20
4/1/2014 | 3/31/2015 | Mar | 2014 | 30
5/1/2014 | 4/30/2015 | Apr | 2014 | 40
I want to make this data table interactive by enabling the drill down/drill through functionality, where a user can click on each of the values in the "Count of Students" field to see the underlying raw data behind these numbers 10,20,30,and 40. For Example, if a user clicks on "10" , he/she should be able to see the student raw data behind that count. This is something similar to the Pivot tables concept in excel , where users can see the underlying data behind the Pivot tables. Is there a way I could do the same thing using R Shiny ?
回答1:
Yes, using the DT
package to capture the selected rows and subset the main set. Here is an example using the iris
set:
library("dplyr")
library("shiny")
library("DT")
# create a summary table
summary_iris <- group_by(iris, Species) %>%
summarise(Count = n())
ui <- fluidPage(
dataTableOutput("summary")
, dataTableOutput("drilldown")
)
server <- function(input, output){
# display the data that is available to be drilled down
output$summary <- DT::renderDataTable(summary_iris)
# subset the records to the row that was clicked
drilldata <- reactive({
shiny::validate(
need(length(input$summary_rows_selected) > 0, "Select rows to drill down!")
)
# subset the summary table and extract the column to subset on
# if you have more than one column, consider a merge instead
# NOTE: the selected row indices will be character type so they
# must be converted to numeric or integer before subsetting
selected_species <- summary_iris[as.integer(input$summary_rows_selected), ]$Species
iris[iris$Species %in% selected_species, ]
})
# display the subsetted data
output$drilldown <- DT::renderDataTable(drilldata())
}
shinyApp(ui, server)
来源:https://stackoverflow.com/questions/43263879/creating-drill-down-report-in-r-shiny