Hello,

This is not reproducible, we don't have access to ttclasses.csv.
Can you post sample data? Please post the output of

dput(ttclasses)

Or, if it is too big, the output of

dput(head(ttclasses, 20))


Hope this helps,

Rui Barradas


Às 18:03 de 07/06/21, Biplab Nayak escreveu:
Hi All,
I Need a bit of help to fix the code.
Code:
library(readr)
library(shiny)
ttclasses <- read_csv("ttclasses.csv")

#Filter data
library(stringr)
library(dplyr)
ttclasses <-ttclasses %>%
   filter(str_detect(assessment, "Assignment"))
ttclasses <-ttclasses %>%
   filter(str_detect(name, "Name"))

##Remove NA values.
library(tidyverse)
ttclasses <-ttclasses %>% drop_na("score")

#Convert to factor
ttclasses$assessment <- as.factor(ttclasses$assessment)
ttclasses$due_date =  as.Date(ttclasses$due_date, format = "mm/dd/yy")
##ttclasses$name <- as.factor(ttclasses$name)

# Define UI ----
ui <- fluidPage(

   # App title ----
   titlePanel("Assessment Dashboard"),

   # Sidebar layout with input and output definitions ----
   sidebarLayout(

     # Sidebar panel for inputs ----
     sidebarPanel(

       # Input: Selector for variable to plot the grades for the selected
assignment ----
       selectInput("assessment", "Assessment:",
                   c("Assignment 1" = "Assignment 1",
                     "Assignment 2" = "Assignment 2",
                     "Assignment 3" = "Assignment 3",
                     "Assignment 4" = "Assignment 4",
                     "Assignment 5" = "Assignment 5")),
       selectInput("name", "Name:",
                   ttclasses[,2]),

     dateRangeInput("due_date",
                    "Due-Date:",start = max(ttclasses$due_date) ,
                    separator = " - ")
     ),

     # Main panel for displaying outputs ----
     mainPanel(

       # Output: Plot of the requested variable against grade ----
       plotOutput("gradePlot")

     )
   )
)

# Define server logic to plot  ----
server <- function(input, output) {
     output$gradePlot <- renderPlot({
     grade_ad = input$assessment
     boxplot(ttclasses$score[ttclasses$assessment==grade_ad],
frame.plot=FALSE, horizontal=TRUE, col="magenta", main=grade_ad)
     ttclasses <-ttclasses %>%
       filter(ttclasses$due_date >= input$due_date[1] & ttclasses$due_date
<= input$due_date[2])
   })
}

# Create Shiny app ----
shinyApp(ui, server)

Thanks & Regards

        [[alternative HTML version deleted]]

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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

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