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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Nathalie Henry Riche</author_name><author_url>https://www.microsoft.com/en-us/research/people/nath/</author_url><title>Untangling Euler Diagrams - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="k65iceRTPF"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/untangling-euler-diagrams/"&gt;Untangling Euler Diagrams&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/untangling-euler-diagrams/embed/#?secret=k65iceRTPF" width="600" height="338" title="&#x201C;Untangling Euler Diagrams&#x201D; &#x2014; Microsoft Research" data-secret="k65iceRTPF" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>In many common data analysis scenarios the data elements are logically grouped into sets. Venn and Euler style diagrams are a common visual representation of such set membership where the data elements are represented by labels or glyphs and sets are indicated by boundaries surrounding their members. Generating such diagrams automatically such that set regions [&hellip;]</description></oembed>
