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    <title>topic Re: Slicing data across multiple columns in Developer</title>
    <link>https://community.fabric.microsoft.com/t5/Developer/Slicing-data-across-multiple-columns/m-p/2602238#M36972</link>
    <description>&lt;P&gt;Superb&amp;nbsp;&lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/118918"&gt;@Hariharan_R&lt;/a&gt;&amp;nbsp; ! Just what was required.&amp;nbsp; Thank you very much for your help, much appreciated.&lt;/P&gt;</description>
    <pubDate>Sun, 26 Jun 2022 16:48:46 GMT</pubDate>
    <dc:creator>Anonymous</dc:creator>
    <dc:date>2022-06-26T16:48:46Z</dc:date>
    <item>
      <title>Slicing data across multiple columns</title>
      <link>https://community.fabric.microsoft.com/t5/Developer/Slicing-data-across-multiple-columns/m-p/2586958#M36798</link>
      <description>&lt;P&gt;I have lots of data that can be summarized into the following type of data (this is not my data but it a smaller version and sanitised).&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="goofy_0-1655591961124.png" style="width: 400px;"&gt;&lt;img src="https://community.fabric.microsoft.com/t5/image/serverpage/image-id/734442i8CEBF474D67A8C0C/image-size/medium?v=v2&amp;amp;px=400" role="button" title="goofy_0-1655591961124.png" alt="goofy_0-1655591961124.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;From the data I want to have a stacked column chart showing a sum of all jumpers sold and all jumpers returned across a specific time period.&lt;/P&gt;&lt;P&gt;Along with the above data, I have created a date table using the calendarauto function.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;My real data has multiple 'Jumper' manufacturers and significant number of weeks data.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I want to only have one chart that sums all the sold and returned jumpers across a specific time period, but to then be able to 'click' a slicer for 'ABC Jumpers' and the chart to only show the values of sold and returned jumpers for 'ABC Jumpers'.&amp;nbsp; And to be able to do that for any number of 'Jumper Manufacturers'&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Any help with how to do this would be appreciated.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks&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;</description>
      <pubDate>Sat, 18 Jun 2022 22:46:06 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Developer/Slicing-data-across-multiple-columns/m-p/2586958#M36798</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2022-06-18T22:46:06Z</dc:date>
    </item>
    <item>
      <title>Re: Slicing data across multiple columns</title>
      <link>https://community.fabric.microsoft.com/t5/Developer/Slicing-data-across-multiple-columns/m-p/2588082#M36817</link>
      <description>&lt;P&gt;Hi&amp;nbsp;@Anonymous&lt;/a&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;You need to unpivot your columns into rows to acheive the results easily. You can do this in Power Query layer or DAX. Please refer below. Once you unpivoted then you can easily build a visuals.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Power Query -&amp;nbsp;&lt;A href="https://kohera.be/power-bi/how-to-unpivot-twice/" target="_blank"&gt;https://kohera.be/power-bi/how-to-unpivot-twice/&lt;/A&gt;&lt;/P&gt;&lt;P&gt;DAX -&amp;nbsp;&lt;A href="https://community.powerbi.com/t5/Desktop/Convert-multiple-column-data-into-a-column-with-multiple-rows/m-p/674345" target="_blank"&gt;https://community.powerbi.com/t5/Desktop/Convert-multiple-column-data-into-a-column-with-multiple-rows/m-p/674345&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;&lt;P&gt;Hari&lt;/P&gt;&lt;DIV class=""&gt;&lt;DIV&gt;&lt;STRONG&gt;Did I answer your question? Then please mark my post as the solution.&lt;BR /&gt;If I helped you, click on the Thumbs Up to give Kudos.&lt;/STRONG&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;A href="https://dataap.org/blog/author/hariharanr/" target="_blank" rel="noopener"&gt;&lt;STRONG&gt;My Blog&lt;/STRONG&gt;&lt;/A&gt; :: &lt;A href="https://www.youtube.com/c/HarisBI" target="_blank" rel="nofollow noopener noreferrer"&gt;YouTube Channel&lt;/A&gt; :: &lt;A href="https://www.linkedin.com/in/imhariharanr/" target="_blank" rel="nofollow noopener noreferrer"&gt;My Linkedin&lt;/A&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;/DIV&gt;&lt;/DIV&gt;</description>
      <pubDate>Mon, 20 Jun 2022 05:23:12 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Developer/Slicing-data-across-multiple-columns/m-p/2588082#M36817</guid>
      <dc:creator>Hariharan_R</dc:creator>
      <dc:date>2022-06-20T05:23:12Z</dc:date>
    </item>
    <item>
      <title>Re: Slicing data across multiple columns</title>
      <link>https://community.fabric.microsoft.com/t5/Developer/Slicing-data-across-multiple-columns/m-p/2602236#M36971</link>
      <description>&lt;P&gt;Superb @Anonymous&lt;/a&gt; R ! Thank you very much that is exactly what I needed to do!&lt;/P&gt;</description>
      <pubDate>Sun, 26 Jun 2022 16:47:24 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Developer/Slicing-data-across-multiple-columns/m-p/2602236#M36971</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2022-06-26T16:47:24Z</dc:date>
    </item>
    <item>
      <title>Re: Slicing data across multiple columns</title>
      <link>https://community.fabric.microsoft.com/t5/Developer/Slicing-data-across-multiple-columns/m-p/2602238#M36972</link>
      <description>&lt;P&gt;Superb&amp;nbsp;&lt;a href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/118918"&gt;@Hariharan_R&lt;/a&gt;&amp;nbsp; ! Just what was required.&amp;nbsp; Thank you very much for your help, much appreciated.&lt;/P&gt;</description>
      <pubDate>Sun, 26 Jun 2022 16:48:46 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Developer/Slicing-data-across-multiple-columns/m-p/2602238#M36972</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2022-06-26T16:48:46Z</dc:date>
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