Shiny, leaflet: Link map click event with plotly highlight feature

[R_brian]

...
I want to be able to link my leaflet map with plotly charts such that when I click on a marker on the map, the input id corresponding to the clicked marker is highlighted on the plotly chart. So far I have already created a reactive function for the map click. The challenge is how to link it to the highlight feature in plotly chart. Below is my code snippet which filters the charts corresponding to the clicked map id:

#reactive event for map click
  map_click<-reactive({
    clk=input$maps2_marker_click
    if(!is.null(clk)){
      rev_filter<-final_data %>% filter(Kiosk_Id_number==clk$id)
      return(rev_filter)
    }
    else{
      return(final_data)
    }
  }) #end map reactive function

#percentage change compared to baseline chart
  output$stacked_plot2<-renderPlotly(
    ggplotly(
      ggplot(map_click(),aes(x=Id,y=Percentage_change_compared_to_baseline
      ))+
        geom_col(aes(fill=Water_point_type))+
        labs(
          x="Kiosk ID Number",
          y="Percentage change compared to baseline") +
        theme(
          axis.title=element_text(size=9),
          axis.text.x = element_text(angle = 90),
          panel.grid = element_blank()
        )
    ) %>%
      layout(legend = list(
        orientation = "h",x=0.1,y=-0.2
      )
      )
  ) 
  

[mfherman]

You don't strictly need shiny to make this work -- you can use crosstalk to link leaflet and plotly elements. If you're running into specific problems, you'll have to post your code and data to get help.

There are a few examples of leaflet + plotly here:

16 Client-side linking | Interactive web-based data visualization with R,...

[mfherman]

Thanks for sharing some code to illustrate the issue, but could you format this into a reproducible example? That is a set of code or rstudio.cloud project that folks can easily get up and running to replicate your issue? Currently, this is only part of a shiny app and doesn’t include any of the data

IF you aren't familiar with best practices for shiny reprexes, check out

Shiny debugging and reprex guide

Shiny issues can be challenging to resolve relative to other problems with your code or statistical methods. Shiny apps are often large, complex projects with interacting files. When seeking help from others it is considered polite to: First, do your best to work through RStudio's debugging tools to diagnose your issue on your own. Often those shiny logs and tracebacks are useful to others trying to help out. Second, strive to minimize the effort required to replicate your issue. You can do this with a reproducible example ("reprex"). Shiny Debugging Errors in Shiny code can be difficult to track down. If you don't know where your problem is coming from, you can track it down with some o…

This will make it easier for folks to replicate your issue and offer suggestions to solve it.

[R_brian]

I have included the code of what I have been able to accomplish so far.