r - 如何在 Shiny 中读取 csv 文件？

Question

我正在尝试创建一个 Shiny 的仪表板，允许用户选择 csv 文件。该文件仅包含两列:订单号和创建日期。我希望用户能够另外选择他们想要的日期范围并获得摘要计数统计数据。

到目前为止我的代码如下:

library(shiny)
library(plotly)
library(colourpicker)
library(ggplot2)


ui <- fluidPage(
  titlePanel("Case Referrals"),
  sidebarLayout(
    sidebarPanel(
      fileInput("file", "Select a file"),
      sliderInput("period", "Time period observed:",
                  min(data()[, c('dateCreated')]), max(data()[, c('dateCreated')]),
                  value = c(min(data[, c('dateCreated')]),max(data()[, c('dateCreated')])))
    ),
    mainPanel(
      DT::dataTableOutput("table")
    )
  )
)

# Define the server logic
server <- function(input, output) {
  
  # file input
  input_file <- reactive({
    if (is.null(input$file)) {
      return("")
    }
  })
  
  
  # summarizing data into counts
  data <- input_file()
  data <- subset(data, dateCreated >= input$period[1] & dateCreated <= input$period[2])


  output$table <- DT::renderDataTable({
    data
  })
  
  
  
}

shinyApp(ui = ui, server = server)

我收到一条错误消息:

data()[, c("dateCreated")] 中的错误:维度数不正确

任何人都可以帮助我了解问题可能是什么和/或提供更好的框架来执行此操作吗？为了清楚起见，在 csv 文件中，createDate 变量被分解为下订单时的各个日期。

谢谢!

Answer 1

我为错误步骤添加了注释。

library(shiny)


ui <- fluidPage(
  titlePanel("Case Referrals"),
  sidebarLayout(
    sidebarPanel(
      fileInput("file", "Select a file"),
      
      # you cannot call data() in your ui. 
      # You would have to wrap this in renderUI inside of your server and use
      # uiOutput here in the ui
      sliderInput("period", "Time period observed:", min = 1, max = 10, value = 5)
    ),
    mainPanel(
      DT::dataTableOutput("table")
    )
  )
)

# Define the server logic
server <- function(input, output) {

  input_file <- reactive({
    if (is.null(input$file)) {
      return("")
    }

    # actually read the file
    read.csv(file = input$file$datapath)
  })

  output$table <- DT::renderDataTable({

    # render only if there is data available
    req(input_file())

    # reactives are only callable inside an reactive context like render
    data <- input_file()
    data <- subset(data, dateCreated >= input$period[1] & dateCreated <= input$period[2])

    data
  })



}

shinyApp(ui = ui, server = server)