I have a table in R Shiny dashboard that does not show the correct data when I try to add additional pages to the dashboard. Once I wrap my table inside tabItem() and apply the filters, what appears is an empty table and the filters are no longer are working. In fact, I don't think the app is registering my filter commands at all because when I try to apply the filters, the R studio console just says:
Listening on http://127.0.0.1:4543
I've checked to see if I'm using the correct tabName and I've checked my formatting as well. I can't seem to understand what is causing the issue. I'm unable to provide the exact code used due to confidentiality, but below is a reproducible example using the Air Quality dataset from Kaggle.
My original code is set up using the exact structure .
library(tidyverse)
library(shiny)
library(shinydashboard)
library(reactable)
# air quality dataset
air_quality_nyc <- read.csv('Air_Quality.csv')
#### Nitrogen Dioxide
season_no2 <-air_quality_nyc %>%
filter((grepl('Winter',Time.Period)|grepl('Summer',Time.Period))
& Geo.Place.Name== 'Queens'
& Name == 'Nitrogen Dioxide (NO2)')
#### Nitrogen Dioxide Annual Graph
annual_no2 <-air_quality_nyc %>%
filter(grepl('Annual Average',Time.Period) & Geo.Place.Name== 'Queens' & Name == 'Nitrogen Dioxide (NO2)')%>%
mutate(across(Time.Period,str_replace,'Annual Average',''))%>%
mutate(across(Time.Period,as.numeric))
no2_plot <- annual_no2 %>%
ggplot(aes(x=Time.Period,y=Data.Value))+
geom_point()+
geom_line()
###################### Dashboard ################################
ui <- dashboardPage(
dashboardHeader(title = "Air Quality"),
dashboardSidebar(
sidebarMenu(
menuItem("Tables", tabName = "table", selected = TRUE,
menuSubItem('Air Quality Data', tabName='air_data')),
menuItem("Graphs", tabName = "graph",
menuSubItem('NO2 Graph', tabName='no2'))
)),
dashboardBody(
tabItems(
tabItem(tabName='table',
h1('Main Page')
),
tabItem(tabName = 'air_data',
box(reactableOutput('air_quality'), width = 12),
selectInput(
inputId = 'geoPlace',
choices = c('Manhattan','Queens','Staten Island','Bronx','Brooklyn'),
label = 'Borough',
#multiple = TRUE,
),
selectInput(
inputId = 'time',
choices = c('Annual 2016','Annual 2017','Annual 2018','Annual 2019','Annual 2020'),
label = 'Time Period',
#multiple = TRUE,
),
selectInput(
inputId = 'type',
choices = c('Fine Particulate Matter (PM2.5)','Nitrogen Dioxide (NO2)','Sulfur Dioxide (SO2)','Ozone (O3)'),
label = 'Name',
#multiple = TRUE,
),
submitButton(
text = 'Apply Changes'
)
),
tabItem(tabName = 'no2',
box(plotOutput('no2_graph'))
),
tabItem(tabName = 'graph',
h1('Other Main Page')
)
)
)
)
server <- function(input,output){
output$air_quality<- renderReactable({
reactable(
df<-air_quality_nyc %>%
filter(Geo.Place.Name == input$geoPlace,
Time.Period == input$time,
Name == input$type)
)
})
output$no2_graph<-renderPlot(
no2_plot
)
}
shinyApp(ui,server)
Define an id for sidebarMenu and use updateTabItems() on the server side. Then it works.
library(tidyverse)
library(shiny)
library(shinydashboard)
library(reactable)
# air quality dataset
air_quality_nyc <- read.csv('Air_Quality.csv')
df <- air_quality_nyc
#### Nitrogen Dioxide
season_no2 <-air_quality_nyc %>%
filter((grepl('Winter',Time.Period)|grepl('Summer',Time.Period))
& Geo.Place.Name== 'Queens'
& Name == 'Nitrogen Dioxide (NO2)')
#### Nitrogen Dioxide Annual Graph
annual_no2 <-air_quality_nyc %>%
filter(grepl('Annual Average',Time.Period) & Geo.Place.Name== 'Queens' & Name == 'Nitrogen Dioxide (NO2)')%>%
mutate(across(Time.Period,str_replace,'Annual Average',''))%>%
mutate(across(Time.Period,as.numeric))
no2_plot <- annual_no2 %>%
ggplot(aes(x=Time.Period,y=Data.Value))+
geom_point()+
geom_line()
###################### Dashboard ################################
ui <- dashboardPage(
dashboardHeader(title = "Air Quality"),
dashboardSidebar(
sidebarMenu(id="tabs",
menuItem("Tables", tabName = "table", selected = TRUE,
menuSubItem('Air Quality Data', tabName='air_data')),
menuItem("Graphs", tabName = "graph",
menuSubItem('NO2 Graph', tabName='no2'))
)),
dashboardBody(
tabItems(
tabItem(tabName='table',
h1('Main Page')
),
tabItem(tabName = 'air_data',
box(reactableOutput('air_quality'), width = 12),
selectInput(
inputId = 'geoPlace',
choices = unique(df$Geo.Place.Name), # c('Manhattan','Queens','Staten Island','Bronx','Brooklyn'),
label = 'Borough',
#multiple = TRUE,
),
selectInput(
inputId = 'time',
choices = unique(df$Time.Period), # c('Annual 2016','Annual 2017','Annual 2018','Annual 2019','Annual 2020'),
label = 'Time Period',
#multiple = TRUE,
),
selectInput(
inputId = 'type',
choices = unique(df$Name), #c('Fine Particulate Matter (PM2.5)','Nitrogen Dioxide (NO2)','Sulfur Dioxide (SO2)','Ozone (O3)'),
label = 'Name',
#multiple = TRUE,
),
actionBttn("apply","Apply Changes")
# submitButton(
# text = 'Apply Changes'
# )
),
tabItem(tabName = 'no2',
box(plotOutput('no2_graph'))
),
tabItem(tabName = 'graph',
h1('Other Main Page')
)
)
)
)
server <- function(input,output,session) {
observeEvent(input$tabs, {
print(input$tabs)
updateTabItems(session,"tabs",input$tabs)
})
mydf <- reactive(
air_quality_nyc %>%
dplyr::filter(Geo.Place.Name == input$geoPlace,
Time.Period == input$time,
Name == input$type)
)
output$air_quality <- renderReactable({
reactable(
mydf()
)
})
output$no2_graph<-renderPlot(
no2_plot
#plot(pressure)
)
}
shinyApp(ui,server)