aagarw30 · April 1, 2020 08:00 · aagarw30 · Jul 10, 2023 · ZeroLi-Bio · Jul 10, 2023
diff --git a/eventdata.R b/eventdata.R
 ## Load required packages

 library(plotly)
 library(ggplot2)
 library(shiny)

 ## Defining a key column in mtcars which will be used for event handling in event_data()
 mtcars$key <- row.names(mtcars)


 ### Ui code begins below
 ui <- fluidPage(
  h1("Demo - Interactive data point selection with ggplotly/plotly charts"),
  h4("Subset the dataset using the data points selected from the chart. Drag and select one or multi data points"),
  br(),
  ## Plotly plot display
  plotlyOutput("plot"),
  
  ## Data point information display post click
  verbatimTextOutput("click")
 )


 ## Server side code begins below
 server <- function(input, output, session) {
  
  ## ggplotly scatter plot
  output$plot <- renderPlotly({
    
    myplot <- ggplot(mtcars, aes(x = mpg, 
                            y = wt, 
                            key = key)) + geom_point()
    ## in above code line, use the argument key inside ggplot which will be used for event handling
    ggplotly(myplot) %>% 
      layout(dragmode = "select")
    
  })
  
  ## returns the data related to data points selected by the user
  output$click <- renderPrint({

    
    ## Click_data will have the keys (row identifiers) corresponding to selected data points
    click_data <- event_data("plotly_selected")

    ## Event mode options. There are many more to experiment
    ## plotly_click - click on one data point
    ##  Plotly_selected - multi point select
        
    if(is.null(click_data)) 
      "No data points selected on scatter plot..." 
    else 
      filter(mtcars, key %in% click_data$key) %>% select(-key)
    ## Subsetting in above step based on selected data points and removing the key column
    
  })
 }
 shinyApp(ui, server)
	## Load required packages

	library(plotly)
	library(ggplot2)
	library(shiny)

	## Defining a key column in mtcars which will be used for event handling in event_data()
	mtcars$key <- row.names(mtcars)


	### Ui code begins below
	ui <- fluidPage(
	h1("Demo - Interactive data point selection with ggplotly/plotly charts"),
	h4("Subset the dataset using the data points selected from the chart. Drag and select one or multi data points"),
	br(),
	## Plotly plot display
	plotlyOutput("plot"),

	## Data point information display post click
	verbatimTextOutput("click")
	)


	## Server side code begins below
	server <- function(input, output, session) {

	## ggplotly scatter plot
	output$plot <- renderPlotly({

	myplot <- ggplot(mtcars, aes(x = mpg,
	y = wt,
	key = key)) + geom_point()
	## in above code line, use the argument key inside ggplot which will be used for event handling
	ggplotly(myplot) %>%
	layout(dragmode = "select")

	})

	## returns the data related to data points selected by the user
	output$click <- renderPrint({


	## Click_data will have the keys (row identifiers) corresponding to selected data points
	click_data <- event_data("plotly_selected")

	## Event mode options. There are many more to experiment
	## plotly_click - click on one data point
	## Plotly_selected - multi point select

	if(is.null(click_data))
	"No data points selected on scatter plot..."
	else
	filter(mtcars, key %in% click_data$key) %>% select(-key)
	## Subsetting in above step based on selected data points and removing the key column

	})
	}
	shinyApp(ui, server)
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