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I have a code I got from google analytics to put on my site. <br />
I want to put it in an external js file.<br />
It has this at the begining &nbsp;and it's throwing an error.<br />
&nbsp;&lt;!-- Google Tag Manager --&gt;<br />
&lt;noscript&gt;&lt;iframe src=&quot;//<a href="http://www.googletagmanager.com/ns.html?id=GTM-7XRT" rel="ugc">www.googletagmanager.com/ns.html?id=GTM-7XRT</a>&quot;<br />
height=&quot;0&quot; width=&quot;0&quot; style=&quot;display:none;visibi<wbr />lity:hidde<wbr />n&quot;&gt;&lt;/ifram<wbr />e&gt;&lt;/noscri<wbr />pt&gt;<br />
&lt;!-- End Google Tag Manager --&gt;<br />
<br />
How am I supposed this on a js file?
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I have a code I got from google analytics to put on my site. 
I want to put it in an external js file.
It has this at the begining  and it's throwing an error.
 
<noscript><iframe src="//www.googletagmanager.com/ns.html?id=GTM-7XRT"
height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>


How am I supposed this on a js file?

noscript thowing an error on a js file

JavaScript is a dynamic, object-based language commonly used for client-side scripting in web browsers. Recently, server side JavaScript frameworks have also emerged. JavaScript runs on nearly every operating system and  in almost every mainstream web browser.

JavaScript

Web development includes all aspects of presenting content on intranets and the Internet, including delivery development, protocols, languages and standards, server software, browser clients, databases and multimedia generation.

Web Development

Analytics is the discovery and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. Specifically, areas within analytics include predictive analytics, prescriptive analytics, enterprise decision management, retail analytics, store assortment and stock-keeping unit optimization, marketing optimization and marketing mix modeling, web analytics, sales force sizing and optimization, price and promotion modeling, predictive science, credit risk analysis, and fraud analytics.