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@data-visuals/analytics
Advanced tools
Consistently track how pages perform the Texas Tribune Data Visuals way.
An easy way to hook up Google Analytics (and any future trackers!) in Data Visuals projects.
npm install @data-visuals/analytics
Two of autotrack's plugins are included in this library — cleanUrlTracker
and eventTracker
. cleanUrlTracker
is already pre-configured and requires no extra work, but eventTracker
only enables what's detailed in the documentation for that plugin and will require extra tagging in your HTML.
This library does not load the Google Analytics library for you. You'll still need to ensure that makes it on the page. However, @data-visuals/analytics
expects that to happen asynchronously so it can be loaded at any time.
In your HTML (either right before your <body>
element closes, or at the bottom of the <head>
), load the Google Analytics library.
<!-- Google Analytics -->
<script async src="https://www.google-analytics.com/analytics.js"></script>
<!-- End Google Analytics -->
The library exports an init()
function to be called. It's recommended that you use Webpack's code splitting functionality (if your environment supports it) to load this library so nothing is blocked by its loading.
import(/* webpackChunkName: "analytics" */ '@data-visuals/analytics').then(
analytics => analytics.init()
);
If for some reason you don't want to do that, or you're using this somewhere that isn't allowed, importing it and calling it normally will also work.
import { init } from '@data-visuals/analytics';
init();
Initializes all the analytics setup. Creates trackers and sets initial values on the trackers.
Parameters
options
Object (optional, default {}
)
Examples
// Async method
import('@data-visuals/analytics').then(analytics => analytics.init());
// Standard import method
import { init } from '@data-visuals/analytics';
init();
Returns void
MIT
FAQs
Consistently track how pages perform the Texas Tribune Data Visuals way.
The npm package @data-visuals/analytics receives a total of 1 weekly downloads. As such, @data-visuals/analytics popularity was classified as not popular.
We found that @data-visuals/analytics demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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