The interesting and most important part is being able to track certain events that we’re interested in. But there would be no reason to write this article if it was only about adding a GA tracker to the app. That was fairly straightforward nothing too complex going on. Extend Google Analytics Tracker with Custom Events Here, you’ll want to check if the events are being recorded in real-time (the lag here should not exceed 1-2 minutes). Now, this is how I add the scripts to the Shiny App: # somewhere inside the UIĪt this point, you should run the app and go to the Google Analytics page. This is the JQuery way of making sure that this code runs after the page has been loaded. Window.dataLayer = window.dataLayer || įunction gtag() ). Once inside, find the `Admin` button and click to enter the administration panel.įollow the instructions and you will be rewarded with a small chunk of HTML code that should look something like this: Finding Google Analytics Tracking Codeįirst, you’ll need to register a Google Analytics account and log in. There is a complicated and evolving situation with legal action being taken on EU and US companies failing to adhere to GDPR (also known as DSGVO or RGPD). Note: Before setting up Google Analytics, you should consider the legal implications of improper configuration, data protection, and GDPR compliance. Is your Shiny app succesful? Explore these top 3 tools for monitoring user adoption in Shiny. We’ll also present a real Google Analytics example in Shiny from our recent, Forest Ranges application. In this article, we’ll cover how to combine R Shiny and Google Analytics by adding a Google Analytics tracker to your Shiny application. So today we’ll show you how to add Google Analytics to R Shiny apps. But measuring adoption hasn’t always been a priority for Shiny developers. User adoption is an important metric for any application’s success.
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