Question

我想在选择任何过滤器之前显示完整数据，然后根据过滤器选择对数据进行子集化。

例如： -如果未选择任何内容，则应显示所有记录 -如果仅选择大洲，而未选择国家和州过滤器，则它应显示该特定大洲的所有记录 -如果选择了“大陆和国家/地区”，则它应显示选定大陆和选定国家/地区的所有记录 -如果选择了大陆，国家和州过滤器，则它应仅显示所选过滤器的那些选项的记录

这是我的代码，并链接到数据集 https://www.dropbox.com/s/5ii7fkt4anedjpb/R%20Codes.zip?dl=0

library(shinyjs)
library(stats)
library(shinydashboard)
library(sqldf)
library(shiny)
library(ggplot2)
library(stats)
library(lubridate)
library(DT)
library(sqldf)


setwd('C:\\Users\\folder')

header <- dashboardHeader(
  title = "Shiny Dashboard")
sidebar <- dashboardSidebar(
  sidebarMenu(
    menuItem("Data", tabName = "ShowData", icon = icon("dashboard")),
    menuItem("Summary", tabName = "ShowSummary", icon = icon("bar-chart-o"))
  )
)

body <- dashboardBody(
  useShinyjs(),
  tabItems(
    tabItem(tabName = "ShowData",
            DT::dataTableOutput("table")
    ),
    tabItem(tabName = "ShowSummary",
            box(width =3,
                h3("Tutorial by TopBullets.com"),
                helpText("Please Continent, Country and State Combition"),
                uiOutput("continent"),
                uiOutput("country"),
                uiOutput("state")
            ),

            box(width =9,
                DT::dataTableOutput("table_subset")
            ))  ))

# Put them together into a dashboardPage
ui <- dashboardPage(header,sidebar,body)

options(shiny.maxRequestSize = 15*1024^2)
server <- function(input,output){

  # Importing data and save it temporary in data variable
  data <- reactive({
    read.table(file = "C:\\Users\\folder\\Countries-Continents-csv.csv",
               sep = ",", header = T,
               stringsAsFactors = F)
  })

  # Showing the original data
  output$table <- DT::renderDataTable({
    if(is.null(data())){return()}
    DT::datatable(data(), options = list(scrollX = T))
  })

  # Creating filters
  output$continent <- renderUI({
    selectInput(inputId = "Continent", "Select Continent",choices = var_continent(), selected = "Asia")
  })
  output$country <- renderUI({
    selectInput(inputId = "Country", "Select Country",choices = var_country(), selected = "India")
  })
  output$state <- renderUI({
    selectInput(inputId = "State", "Select State",choices = var_state(),selected = "Goa")
  })

  # Cascasing filter for state

  var_continent <- reactive({
    file1 <- data()
    if(is.null(data())){return()}
    as.list(unique(file1$Continent))
  })

  # Creating reactive function to subset data
  continent_function <- reactive({
    file1 <- data()
    continent <- input$Continent
    file2 <- sqldf(sprintf("select * from file1 where Continent = '%s' ", continent))
    return (file2)

  })

  var_country <- reactive({
    file1 <- continent_function()
    if(is.null(file1)){return()}
    as.list(unique(file1$Country))

  })


  state_function <- reactive({
    file1 <- continent_function()
    country <- input$Country
    file2 <- sqldf(sprintf("select * from file1 where Country = '%s' ", country))
    return (file2)

  })

  var_state <- reactive({
    file1 <- state_function()
    as.list(unique(file1$State))
  })

  output$table_subset <- DT::renderDataTable({
    file1 <- state_function()
    state <- input$State
    file2 <- sqldf(sprintf("select * from file1 where State = '%s' ", state))
    DT::datatable(file2, options = list(scrollX = T))

  })

}
shinyApp(ui,server)

Answer 1

在“摘要”选项卡中，您可以在每个selectInput的顶部添加“全部”条目，并且仅在选定的洲/国家/州不是“全部”的情况下进行过滤。为此，您需要：

as.list(c("All", unique(file1$Continent)))

然后获取大陆数据的反应函数如下所示：

continent_function <- reactive({
  file1 <- data()
  continent <- input$Continent
  sql = "select * from file1"
  if(continent != "All") {
    sql = paste(sql, sprintf("where Continent = '%s' ", continent))
  }
  file2 <- sqldf(sql)
  return (file2)
})

（并且类似地适用于国家和州。）

如何在R Shiny仪表板中应用任何过滤器之前显示所有数据

1 个答案: