创建一个有光泽的条形图

Question

我是R的新手，正在寻求帮助。我有一个有两行(2000年、2010年)和两列(2000年和2010年分别为997936户、391043户、1229226户和474030户)的csv。我试图创建一个反应条形图使用闪亮与单选按钮，以选择2000年或2010年的数据，但无法得到它的工作。我知道这与我过滤的方式有关，但我搞不清楚。这里是我的代码，我将真诚地感谢任何帮助。正如你从评论中看到的，我已经尝试了很多。

library(shiny)

data <- read.csv("hillsctypop.csv", header = TRUE, sep = ",", stringsAsFactors = FALSE)

ui <- fluidPage(
  titlePanel(title = h4("Hillsborough County Population by Census", align="center")),
  sidebarPanel(

    radioButtons("YEAR", "Select the Census Year",
                 choices = c("2000", "2010"),
                 selected = "2000")),


  mainPanel(
    plotOutput("bar",height = 500))
)

server <- function(input,output){
  #year = reactive(data({input$YEAR}))
  # filtered <- reactive({
  #data %>%
  #filter(Type == input$year)
  #})
  output$bar <- renderPlot({
   #  barplot(as.matrix(data))
   # barplot(data()[,2,4,])
   #x <- data[1, ]
    color <- c("blue", "red")

    barplot(as.integer(data$Population, data$Households),
            main = input$YEAR,
            ylab="Total",
            xlab="Census Year",
            names.arg = c("Population", "Households"),
            col = color)
    #legend("topright", legend = c("Population", "Households"),
    #      fill = c("Blue", "red"))
  })
}
shinyApp(ui=ui, server=server)

Answer 1

这对我很有效。请注意，我已经将数据更改为我自己的样本数据，并且我假设有一个列' year‘来指示数据属于2000年还是2010年。反应随后被用作绘图函数的输入。我希望这能帮助你找到正确的方向。

data = data.frame(Population=sample(1:20,10),Households = sample(1:20,10), year=sample(c(2000,2010),10,replace=T))

ui <- fluidPage(
  titlePanel(title = h4("Hillsborough County Population by Census", align="center")),
  sidebarPanel(

    radioButtons("YEAR", "Select the Census Year",
                 choices = c("2000", "2010"),
                 selected = "2000")),


  mainPanel(
    plotOutput("bar",height = 500))
)

server <- function(input,output){

  reactive_data = reactive({
    selected_year = as.numeric(input$YEAR)
    return(data[data$year==selected_year,])

  })

  output$bar <- renderPlot({

    color <- c("blue", "red")

    our_data <- reactive_data()

    barplot(colSums(our_data[,c("Population","Households")]),
            ylab="Total",
            xlab="Census Year",
            names.arg = c("Population", "Households"),
            col = color)
  })
}
shinyApp(ui=ui, server=server)