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Let's now look at what is JavaScript and.

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For the JavaScript errors, this will show the percentage of the sessions within the filter timeframe

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that have JavaScript errors.

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This should help you see if it's one specific page or a series of pages and what would be causing the

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errors JavaScript errors could contribute to that clicks, which clicks or even reduce the amount of

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time a user stays on a page.

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Now let's see how to actually use this information.

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For my website, 31 percent of physicians have JavaScript errors, which is the one marked in pink.

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I mean, just like this and this would make JavaScript better is equal to yes as a filter for the whole

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town.

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Now, the best way would be to go to recording's.

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The filter would be there on the record.

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Now it says, watch the cardinals select one from the list.

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Now, I might want to change my mind, but let's stick to the game and see.

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OK, let's have a look at this.

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A user from Ireland was shot six seconds on my website.

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No.

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OK, now I see in the top section the menu and the title of the page should have completely but did

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not, even if the user waited for six seconds.

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Let's have a look at it again.

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Have to find six seconds the menu and the title with the subtitle of it, so there is definitely some

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JavaScript error that I must rectify so that my next user who arrives at my home page does not experience

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this bad interface.

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So that's the kind of information you can quickly get from the dashboard, from the Matrix and from

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the recordings together.

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All these things make clarity of data to understand how a user is interacting with your website and

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how is his or her experience.

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Thank you.