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    <title>topic 2016 US Elections Analysis in Data Stories Gallery</title>
    <link>https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/2016-US-Elections-Analysis/m-p/91392#M445</link>
    <description>&lt;P&gt;Hello everyone,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I used &lt;STRONG&gt;Power BI&lt;/STRONG&gt; to analyse the &lt;STRONG&gt;2016 US presidential elections&lt;/STRONG&gt;.&lt;/P&gt;
&lt;P&gt;The idea is that you can easily visualise the data and make your own analysis !&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;- &lt;STRONG&gt;Page 2&lt;/STRONG&gt; : You can visualise the data on an interactive &lt;STRONG&gt;map &lt;/STRONG&gt;at&lt;STRONG&gt; county-level&amp;nbsp;&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;- &lt;STRONG&gt;Page 3&lt;/STRONG&gt; : You can make a &lt;STRONG&gt;focus&lt;/STRONG&gt; on &lt;STRONG&gt;3 key states&lt;/STRONG&gt; (Florida, Pennsylvania, Michigan) at &lt;STRONG&gt;county-level&lt;/STRONG&gt; and compare with 2012 results&lt;/P&gt;
&lt;P&gt;- &lt;STRONG&gt;Page 4&lt;/STRONG&gt;&amp;nbsp;: This page gives quite a few &lt;STRONG&gt;insights&lt;/STRONG&gt;. It splits the # electoral votes by "Type" of states (Swing States, Democrat, Republican...), Electoral votes intervals. At the bottom right of this page, I computed the Margin on Popular votes (%) for each candidate -&amp;gt; we can easily see that D. Trump won shortly in the "big" states (i.e those with&amp;nbsp;many electoral votes).&lt;/P&gt;
&lt;P&gt;- &lt;STRONG&gt;Page 5&lt;/STRONG&gt;&amp;nbsp;: The graph shows the &lt;STRONG&gt;correlation&lt;/STRONG&gt; between H. Clinton votes and Poverty rate.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;On the last page, you will find some &lt;STRONG&gt;details&lt;/STRONG&gt; on the &lt;STRONG&gt;scope&lt;/STRONG&gt; of the dashboard and the &lt;STRONG&gt;logic running behind some measures&lt;/STRONG&gt;.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Feel free to give me your feedbacks &amp;amp; Enjoy !&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN class="reportid hidden"&gt;eyJrIjoiNWQ5NjU5NTAtMmFhNC00YWMyLWI0ZGItMGIyM2M5YjhiZTVmIiwidCI6IjBlMjhjNjY1LTFkZjctNDhmNi1iNjZlLTIyZmJhNWE5M2Y0YiJ9&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Sun, 02 Feb 2020 22:15:36 GMT</pubDate>
    <dc:creator>Datatouille</dc:creator>
    <dc:date>2020-02-02T22:15:36Z</dc:date>
    <item>
      <title>2016 US Elections Analysis</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/2016-US-Elections-Analysis/m-p/91392#M445</link>
      <description>&lt;P&gt;Hello everyone,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I used &lt;STRONG&gt;Power BI&lt;/STRONG&gt; to analyse the &lt;STRONG&gt;2016 US presidential elections&lt;/STRONG&gt;.&lt;/P&gt;
&lt;P&gt;The idea is that you can easily visualise the data and make your own analysis !&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;- &lt;STRONG&gt;Page 2&lt;/STRONG&gt; : You can visualise the data on an interactive &lt;STRONG&gt;map &lt;/STRONG&gt;at&lt;STRONG&gt; county-level&amp;nbsp;&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;- &lt;STRONG&gt;Page 3&lt;/STRONG&gt; : You can make a &lt;STRONG&gt;focus&lt;/STRONG&gt; on &lt;STRONG&gt;3 key states&lt;/STRONG&gt; (Florida, Pennsylvania, Michigan) at &lt;STRONG&gt;county-level&lt;/STRONG&gt; and compare with 2012 results&lt;/P&gt;
&lt;P&gt;- &lt;STRONG&gt;Page 4&lt;/STRONG&gt;&amp;nbsp;: This page gives quite a few &lt;STRONG&gt;insights&lt;/STRONG&gt;. It splits the # electoral votes by "Type" of states (Swing States, Democrat, Republican...), Electoral votes intervals. At the bottom right of this page, I computed the Margin on Popular votes (%) for each candidate -&amp;gt; we can easily see that D. Trump won shortly in the "big" states (i.e those with&amp;nbsp;many electoral votes).&lt;/P&gt;
&lt;P&gt;- &lt;STRONG&gt;Page 5&lt;/STRONG&gt;&amp;nbsp;: The graph shows the &lt;STRONG&gt;correlation&lt;/STRONG&gt; between H. Clinton votes and Poverty rate.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;On the last page, you will find some &lt;STRONG&gt;details&lt;/STRONG&gt; on the &lt;STRONG&gt;scope&lt;/STRONG&gt; of the dashboard and the &lt;STRONG&gt;logic running behind some measures&lt;/STRONG&gt;.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Feel free to give me your feedbacks &amp;amp; Enjoy !&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
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      <pubDate>Sun, 02 Feb 2020 22:15:36 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/2016-US-Elections-Analysis/m-p/91392#M445</guid>
      <dc:creator>Datatouille</dc:creator>
      <dc:date>2020-02-02T22:15:36Z</dc:date>
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