文字在Rshiny 应用中显示不正确(虽然没有显示代码错误，但它不是我写的S)

我正在构建一个简单的收入搜索工具，个人可以在其中输入他们的职称、月薪和城市，作为输出，他们可以了解自己的工资与控制其职称的地理区域内其他个人的工资中位数的比较. 打印数据

dput(df[1:10,c(1,2,3,4,5,6)]) 

输出:

structure(list(grp = c("Accountant", "Accountant", "Accountant", "Accountant", "Accountant", "Accountant", "Accountant", "Accountant", "Accountant", "Accountant"), monthly_income = c(8000, 2500, 8500, 4500, 35000, 5500, 10000, 7000, 12000, 4000), yrs_experience = c(5, NA, NA, NA, 5, NA, 0, 3, 3, NA), location = c("Portland", "Portland", "Seattle", "Portland", "Seattle", "Seattle", "Portland", "Portland", "Portland", "Seattle"), qualifications = c("no_qual_preference", "no_qual_preference", "no_qual_preference", "no_qual_preference", "BA", "no_qual_preference", "BA", "no_qual_preference", "BA", "no_qual_preference"), gender_preferences = c("no_gender_preference", "female", "female", "no_gender_preference", "no_gender_preference", "no_gender_preference", "no_gender_preference", "no_gender_preference", "no_gender_preference", "no_gender_preference")), row.names = c(NA, -10L), class = c("tbl_df", "tbl", "data.frame")) 

这是目前的代码，我已经编辑了它，纳入了下面的有用建议，它工作得很好，没有错误，但它没有显示我希望看到的每个职位的文本.

library(shiny)
# library(shinydashboard)
# library(shinyWidgets)
#library(readxl)


ui <- fluidPage(sidebarLayout(
  sidebarPanel(
    #textInput("grp", "Occupation"), # dropdown menu for job titles
    selectizeInput(
      "grp",
      "Occupation",
      sort(salary_test_data$grp), 
      choices = append("", sort(unique(
        salary_test_data$grp
      ))),
      selected = "",
      multiple = F
    ),
    #choices = sort(unique(salary_test_data$grp)),
    selectizeInput("qualifications",
                   "Qualifications",
                   choices = append("", sort(
                     unique(salary_test_data$qualifications)
                   ))),
    verbatimTextOutput("comparison_results"),
    sliderInput(
       "yrs_experience",
      "Years of Experience",
       min = 0,
       max = 9,
       value = 0,
       post = " Year(s)"
     ),
    selectizeInput("location",
                   "City",
                   choices = append("", sort(
                     unique(salary_test_data$location)
                   ))),
    numericInput("monthly_income", "Monthly Pay", value = 0),
    actionButton("compare_btn", "Compare Salary")
  ),

mainPanel(plotOutput("salary_plot")
)
))


server <- function(input, output) {
  comparison_results <-
    eventReactive(input$compare_btn, {
      user_Occupation <- input$grp
      user_experience <- input$yrs_experience
      user_monthly_pay <- input$monthly_income
      user_location <- input$location
      user_qualification <- input$qualifications
      
      filtered_data <- salary_test_data[salary_test_data$grp == user_Occupation &
                                          salary_test_data$location == user_location &
                                          salary_test_data$qualifications == user_qualification &
                                          salary_test_data$yrs_experience == user_experience, ]
      
      if (nrow(filtered_data) > 0) {
        if (user_monthly_pay >= median(filtered_data$monthly_income)) {
          "Your monthly salary is above the median income of workers employed in your profession,
        who share your qualifications, & city"  
        } else {
          "Your monthly salary is below the median income of workers employed in your profession,
        who share your qualifications, & city"
        }
      } else {
        "No data found for the given job title and/or city"
      }
    })
  
  output$comparison_results <- renderText({
    comparison_results()
  })
  
}