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		<title>Diversify the Data in Data-driven Design: Creative Pairings of Quant and Qual</title>
		<link>https://www.traveldatadaily.com/diversify-the-data-in-data-driven-design-creative-pairings-of-quant-and-qual/</link>
		
		<dc:creator><![CDATA[Jessica Pang]]></dc:creator>
		<pubDate>Thu, 21 Sep 2017 09:29:02 +0000</pubDate>
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		<category><![CDATA[Innovation]]></category>
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		<category><![CDATA[data driven design]]></category>
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					<description><![CDATA[<a href="https://www.traveldatadaily.com/diversify-the-data-in-data-driven-design-creative-pairings-of-quant-and-qual/" title="Diversify the Data in Data-driven Design: Creative Pairings of Quant and Qual" rel="nofollow"><img width="150" height="150" src="https://www.traveldatadaily.com/wp-content/uploads/2017/09/data-driven-design-150x150.png" class="webfeedsFeaturedVisual wp-post-image" alt="" style="float: left; margin-right: 5px;" link_thumbnail="1" decoding="async" loading="lazy" /></a><p>NB: Originally published on UXPAMagazine.org, Sep 2017 edition and available on jpang.io. Layout adapted for UX purposes. Great UX is data-driven. The data itself is usually seen as numeric quantitative data, but in many contexts, that&#8217;s not a sufficient descriptor. Let&#8217;s take online shopping as an example. We browse online for the best prices, visit retail [&#8230;]</p>
<p>The post <a href="https://www.traveldatadaily.com/diversify-the-data-in-data-driven-design-creative-pairings-of-quant-and-qual/">Diversify the Data in Data-driven Design: Creative Pairings of Quant and Qual</a> appeared first on <a href="https://www.traveldatadaily.com">Travel Data Daily</a> by <a href="https://www.traveldatadaily.com/author/jpang/">Jessica Pang</a></p>
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