To use in Shiny with a multi-user login, use googleAuth’s with_shiny. See the googleAuthR readme for details on general Google authentication with Shiny.

A video tutorial on how to create a Shiny app with googleAnalyticsR is available below. The first 20 mins creates a basic Shiny app fetching data, the last 20 mins go into combining with other libraries and using custom HTML templates:

## in server.R
library(googleAuthR)
library(googleAnalyticsR)
library(shiny)

shinyServer(function(input, output, session){
  
  ## Get auth code from return URL
  access_token  <- callModule(googleAuth, "auth1")

  gadata <- reactive({

    with_shiny(google_analytics_3,
               id = "222222", ## replace with your View ID
               start="2015-08-01", end="2015-08-02", 
               metrics = c("sessions", "bounceRate"), 
               dimensions = c("source", "medium"),
               shiny_access_token = access_token())
  })
  
  output$something <- renderPlot({
  
    ## only trigger once authenticated
    req(access_token())
    
    gadata <- gadata()
    
    plot(gadata)
  
  })
  
})

## ui.R
library(googleAuthR)
library(shiny)

shinyUI(fluidPage(

  googleAuthUI("auth1"),
  plotOutput("something")

))

To aid with creating Shiny apps using this package, some Shiny modules are available.

Authentication modules

authDropdown and authDropdownUI create a row of selects to help with choosing a GA View.

This is useful in combination with googleAuthR’s googleAuth module that helps with user login:

## ui.R
googleAuthUI("login"),
authDropdownUI("auth_menu")
## server.R 

(...)

token <- callModule(googleAuth, "login")

ga_accounts <- reactive({
  validate(
    need(token(), "Authenticate")
  )

  with_shiny(ga_account_list, shiny_access_token = token())
  
  })

selected_id <- callModule(authDropdown, "auth_menu", ga.table = ga_accounts)

(...)

Parameter selects

multiSelect and multiSelectUI create select dropdowns with the GA API parameters filled in, taken from the meta API.

Segment helper

segmentBuilder and segmentBuilderUI creates a segment builder interface. This is also available as an RStudio gadget to help create segments more easily.

Example

An example of a Shiny app is shown below, that allows users to login in, select an account using the modules above, and then see their data via Highcharts

The code for the explorer is included below:

ui.R

## ui.R
library(googleAuthR)
library(googleAnalyticsR)
library(shiny)
library(highcharter)

shinyUI(
  fluidPage(
    googleAuthUI("login"),
    authDropdownUI("auth_menu"),
    highchartOutput("something")
    
  ))

server.R

## in server.R
library(googleAuthR)
library(googleAnalyticsR)
library(shiny)
library(highcharter)

function(input, output, session){
  
  ## Get auth code from return URL
  token <- callModule(googleAuth, "login")
  
  ga_accounts <- reactive({
    req(token())
    
    with_shiny(ga_account_list, shiny_access_token = token())
    
  })
  
  selected_id <- callModule(authDropdown, "auth_menu", ga.table = ga_accounts)
  
  gadata <- reactive({
    
    req(selected_id())
    gaid <- selected_id()
    with_shiny(google_analytics_3,
               id = gaid,
               start="2015-08-01", end="2017-08-02", 
               metrics = c("sessions"), 
               dimensions = c("date"),
               shiny_access_token = token())
  })
  
  output$something <- renderHighchart({
    
    ## only trigger once authenticated
    req(gadata())
    
    gadata <- gadata()
    
    ## creates a line chart using highcharts
    hchart(gadata, "line" , hcaes(x = date, y = sessions))
    
  })
  
}

Copyright (c) 2018 Sunholo Ltd. Released under MIT license.