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To add Google Analytics code to a single page website, you first need to sign up for a Google Analytics account and create a property to track your website. Once you have obtained the tracking ID from Google Analytics, you can add the tracking code to the section of your HTML document. This code typically includes a script tag with your tracking ID that needs to be placed before the closing tag.

To get the total number of pages per session in your Google Analytics data, you can navigate to the Audience overview report. This report provides a summary of user behavior on your website, including the average number of pages viewed per session. By analyzing this data, you can gain insights into user engagement and how effectively your website is encouraging visitors to explore multiple pages.

To use Google Tag Manager with Angular 4 correctly, you will first need to set up a Google Tag Manager account and container. Once you have created a container, you will need to implement the Google Tag Manager code snippet on your Angular application.To do this, you can use the 'ng-gtm' package available on npm to easily integrate Google Tag Manager with your Angular application.

To send click events to Google Analytics via Selenium, you can use the JavaScriptExecutor in Selenium to execute custom JavaScript code that simulates a user click on a specific element on the page. First, locate the element you want to trigger a click event on using Selenium's findElement method. Then, use the JavaScriptExecutor to execute JavaScript code that triggers a click event on that element. This click event will be tracked by Google Analytics as if it was a real user click.

To get active users per page in Google Analytics, you can navigate to the "Behavior" section and click on "Site Content" and then "All Pages." This will show you a list of all the pages on your website and the number of active users on each page. Active users represent the number of unique visitors who have engaged with a page during a specified time period.

To exclude OAuth referrer traffic from Google Analytics, you can create a filter in your Google Analytics account. This filter will exclude any traffic coming from URLs with the parameter "oauth" in them. By doing this, you can ensure that your data is not skewed by traffic from OAuth authentications. To set up this filter, log in to your Google Analytics account, go to the Admin section, select the View you want to apply the filter to, and then click on Filters.

To include Google Analytics in a Preact project, you can start by signing up for a Google Analytics account if you don't already have one. Once you have your tracking ID from Google Analytics, you can install the react-ga package in your Preact project using npm or yarn.Then, you can initialize Google Analytics in your Preact project by calling the initialize function from react-ga with your tracking ID.

To include Google Analytics in a PHP web service, you can utilize the Measurement Protocol provided by Google Analytics. This protocol allows you to send raw HTTP requests to Google Analytics servers in order to track page views, events, and other interactions on your website.To implement Google Analytics in a PHP web service, you will need to generate a tracking ID for your website from the Google Analytics dashboard.

To set up a Google Analytics experiment in Meteor, you will first need to create a Google Analytics account and ensure that your website is properly configured to track data. Once this is done, you can create an experiment within Google Analytics by selecting the "Experiments" tab and clicking on "Create experiment."Next, you will need to set up the experiment details such as the URL of the original page and the variation page, as well as the objective for the experiment.

To send the backend page load time or speed to Google Analytics, you can use the following steps. First, you need to measure the load time of the backend page using a timing function or tool. Once you have the load time data, you can send it to Google Analytics as a custom metric. This can be done by setting up a Google Analytics custom dimension for the backend page load time and sending the data using the Measurement Protocol or by using Google Tag Manager.