CODEWITHSUNDEEP
rshinyplotlyshinydashboard
Carlos80
Carlos80

Reputation: 433

Filter Plotly Bar Chart with dropdown box selection

I have a static bar chart in Plotly, however the data that I am pulling in is a lot bigger than I realised and there is too much for the chart to show anything meaningful. In the UI I have a dropdown box with a selection of US States and I'd like to be able to filter the bar chart based on the users dropdown box selection. Is there a simple way of filtering the DF?

 output$County_Chart <- renderPlotly({

    validate(
      need(County_data(),""))

    ct_Plot_Data <- County_data()

    Bar <- plot_ly(ct_Plot_Data, x = ct_Plot_Data$Value, y = ct_Plot_Data[,c("COUNTY")], type = 'bar',
                   name = 'Value', marker = list(color = 'rgb((49,130,189)', orientation = 'h')) %>% 
      layout(
        yaxis = list(title = "",
                     categoryorder = "array",
                     categoryarray = ~COUNTY)
      ) %>%
      add_trace(x = ct_Plot_Data$Population, name = 'Population', marker = list(color = 'rgb(204, 204, 204)'))

    Bar

  })

Thanks in advance

Upvotes: 0

Views: 1335

Answers (1)

ismirsehregal
ismirsehregal

Reputation: 33510

As you haven't provided any example data, please check the following example:

library(shiny)
library(plotly)
library(datasets)

DF <- as.data.frame(state.x77)

ui <- fluidPage(
  selectizeInput("vars", "Select variables", names(DF), multiple = TRUE, options = list('plugins' = list('remove_button'))),
  selectizeInput("states", "Select states", rownames(DF), multiple = TRUE, options = list('plugins' = list('remove_button'))),
  plotlyOutput("Bar")
)

server <- function(input, output, session) {

  filteredDF <- reactive({
    req(input$states, input$vars)
    cbind(stack(DF[input$states, ], select = input$vars), states = rownames(DF[input$states,]))
  })

  output$Bar <- renderPlotly({
    req(filteredDF())
    p <- plot_ly(filteredDF(), x=~ind, y= ~values, type = "bar", color = ~states)
    p
  })

}

shinyApp(ui, server)

Upvotes: 1

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