I would like to be able to click a point in my plotly::ggplotly()
graph within my {shiny} app and then display some info about that point in a separate output below.
In this simple example I can make it display the curveNumber
, pointNumber
, x
, y
, but it's not easy to unambiguously retrieve a particular data point from my original data from these values. I've read about using key
within the plotly::renderPlotly()
call although I'm not sure how I'd access that in a separate part of the app.
library(tidyverse)
library(plotly)
library(shiny)
# UI ----
ui <- fluidPage(plotlyOutput("plot"),
verbatimTextOutput("click"))
# server ----
server <- function(input, output) {
output$plot <- renderPlotly({
p <- mtcars %>%
rownames_to_column("car") %>%
ggplot(aes(x = disp, y = mpg, color = factor(cyl),
label = car)) +
geom_point(size = 4, alpha = 0.7)
ggplotly(p) %>%
event_register("plotly_click")
})
output$click <- renderPrint({
point <- event_data(event = "plotly_click", priority = "event")
if (is.null(point)) "No Point Selected" else point
})
}
# app ----
shinyApp(ui = ui, server = server)
Using code from here I figured out how to use key
to identify the points and then retrieve that elsewhere from the event_data()
.
library(tidyverse)
library(plotly)
library(shiny)
d <- mtcars %>%
rownames_to_column("car")
# UI ----
ui <- fluidPage(plotlyOutput("plot"),
tableOutput("click"))
# server ----
server <- function(input, output) {
output$plot <- renderPlotly({
key <- d$car
p <- d %>%
ggplot(aes(x = disp, y = mpg, color = factor(cyl),
key = key)) +
geom_point(size = 4, alpha = 0.7)
ggplotly(p) %>%
event_register("plotly_click")
})
output$click <- renderTable({
point <- event_data(event = "plotly_click", priority = "event")
req(point) # to avoid error if no point is clicked
filter(d, car == point$key) # use the key to find selected point
})
}
# app ----
shinyApp(ui = ui, server = server)