#####################################################
# To Use Reactive Data & Respond to the Change in Reactive Data
#####################################################
# In this example,
# we use the data from reactive() function
# This is very essential as sometimes we can only use reactive() function to prepare data within Shiny application.
# In this example you will find two totally the same charts. They're generated with the same data source.
# the only different is that the 2nd one can respond to the change in the reactive data, while the 1st chart can NOT.
# This is implemented together with observeEvent() function.
library(shiny)
library(ECharts2Shiny)
shinyServer(function(input, output) {
# A reactive data.
# it will change according to the change in "input$select"
dat <- reactive({
dat <- read.csv("data_for_pie_chart.csv", stringsAsFactors = FALSE, header = FALSE)
dat <- dat[, 1]
dat[dat %in% unique(dat)[1:input$select]] # select two or three categories to display
})
# Call functions from ECharts2Shiny to render charts
# 1nd Chart: use reactive data, BUt can NOT respond to the change in reactive data
renderPieChart(div_id = "test_1",
data = dat(),
radius = "70%",center_x = "50%", center_y = "50%")
# 2nd Chart: use reactive data, AND CAN respond to the change in reactive data
observeEvent(dat(),
{
renderPieChart(div_id = "test_2",
data = dat(),
radius = "70%",center_x = "50%", center_y = "50%")
})
})
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