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    <title>topic Re: Filtering and plotting data in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Filtering-and-plotting-data/m-p/460397#M70523</link>
    <description>&lt;P&gt;I would first take a look at the Outlier Analysis in&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;Analysis=&amp;gt;Screening=&amp;gt;Explore Outliers&lt;/P&gt;</description>
    <pubDate>Fri, 11 Feb 2022 22:57:31 GMT</pubDate>
    <dc:creator>txnelson</dc:creator>
    <dc:date>2022-02-11T22:57:31Z</dc:date>
    <item>
      <title>Filtering and plotting data</title>
      <link>https://community.jmp.com/t5/Discussions/Filtering-and-plotting-data/m-p/460378#M70522</link>
      <description>&lt;P&gt;Hello,&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;I would like to plot and identify outliers within say three different batches. Each batch contains about 80 values. What would be a good way to plot and highlight the outliers between these 3 batches?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;I thought maybe using the Animation feature in the local data filter to walk through the comparison would work, but I have a feeling that there's a better way. Here is an image that I was attempting to use. Those box plots will move up or down around the threshold. The idea was that as the Animation runs I could stop it to check which batch had a high or low outlier. But I wonder if there's a simpler way to show more data at once to capture the outliers between the batches.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;Thanks so much for your help!&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="ndowidar_0-1644619179683.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/39933iBA1D0E772F63AE6B/image-size/medium?v=v2&amp;amp;px=400" role="button" title="ndowidar_0-1644619179683.png" alt="ndowidar_0-1644619179683.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sun, 11 Jun 2023 11:21:41 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Filtering-and-plotting-data/m-p/460378#M70522</guid>
      <dc:creator>ndowidar</dc:creator>
      <dc:date>2023-06-11T11:21:41Z</dc:date>
    </item>
    <item>
      <title>Re: Filtering and plotting data</title>
      <link>https://community.jmp.com/t5/Discussions/Filtering-and-plotting-data/m-p/460397#M70523</link>
      <description>&lt;P&gt;I would first take a look at the Outlier Analysis in&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp;Analysis=&amp;gt;Screening=&amp;gt;Explore Outliers&lt;/P&gt;</description>
      <pubDate>Fri, 11 Feb 2022 22:57:31 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Filtering-and-plotting-data/m-p/460397#M70523</guid>
      <dc:creator>txnelson</dc:creator>
      <dc:date>2022-02-11T22:57:31Z</dc:date>
    </item>
    <item>
      <title>Re: Filtering and plotting data</title>
      <link>https://community.jmp.com/t5/Discussions/Filtering-and-plotting-data/m-p/460398#M70524</link>
      <description>&lt;P&gt;Thank you so much! I've never used that function! I'm looking into that now. Will need to educate m'self a bit more about K Sigma, PCA outliers...etc. But I'm excited to learn if this would help.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 11 Feb 2022 23:20:28 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Filtering-and-plotting-data/m-p/460398#M70524</guid>
      <dc:creator>ndowidar</dc:creator>
      <dc:date>2022-02-11T23:20:28Z</dc:date>
    </item>
    <item>
      <title>Re: Filtering and plotting data</title>
      <link>https://community.jmp.com/t5/Discussions/Filtering-and-plotting-data/m-p/460409#M70529</link>
      <description>&lt;P&gt;Also checkout &lt;A href="https://community.jmp.com/t5/forums/tagdetailpage/tag-cloud-grouping/message/tag-cloud-style/recent/message-scope/core-node/board-id/jmp-blog/user-scope/all/tag-scope/single/tag-id/197111/timerange/all/tag-visibility-scope/public" target="_self"&gt;Understanding Outliers&lt;/A&gt;&amp;nbsp;blog series by &lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/8239"&gt;@JerryFish&lt;/a&gt; . In some of the episodes (2 and 3) he does the use Explore Outliers which &lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/2687"&gt;@txnelson&lt;/a&gt; already mentioned&lt;/P&gt;</description>
      <pubDate>Sat, 12 Feb 2022 06:28:57 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Filtering-and-plotting-data/m-p/460409#M70529</guid>
      <dc:creator>jthi</dc:creator>
      <dc:date>2022-02-12T06:28:57Z</dc:date>
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