<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Smoothing outliers in QlikView</title>
    <link>https://community.qlik.com/t5/QlikView/Smoothing-outliers/m-p/1313793#M833346</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I will need to do this in the script. The range for each customer will have to be calculated based on their order history. Customer 51091 has an average of ~$7,900 (without the outlier) so an order of $80,390 is more than 10x their average. Likewise, their Max order was $8,121. Possibly exclude anything that is 150% their previous max order. I'm open to ideas.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 05 Jun 2017 18:52:23 GMT</pubDate>
    <dc:creator>hobanwashburne</dc:creator>
    <dc:date>2017-06-05T18:52:23Z</dc:date>
    <item>
      <title>Smoothing outliers</title>
      <link>https://community.qlik.com/t5/QlikView/Smoothing-outliers/m-p/1313791#M833344</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I am working with a data set that occasionally contains human data entry errors. An example would be entering 10,000 instead of 1,000. I would like to locate and eliminate these outliers from my data. I have created a sample data set containing two "errors".&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;1. Customer 51091 typically buys between $7,500 and $8,200. However, on 1/27/17 they purchased $80,390. This would be an outlier and I would want to exclude from the data set.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;2. Customer 51095 typically buys between $55,000 and $65,000. However, on 3/1/17 they purchased $603,210. This would be an outlier and I would want to exclude from the data set.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 25 Nov 2020 16:16:04 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Smoothing-outliers/m-p/1313791#M833344</guid>
      <dc:creator>hobanwashburne</dc:creator>
      <dc:date>2020-11-25T16:16:04Z</dc:date>
    </item>
    <item>
      <title>Re: Smoothing outliers</title>
      <link>https://community.qlik.com/t5/QlikView/Smoothing-outliers/m-p/1313792#M833345</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Exclude this in the script or the front end? Do you have a rule file which specify what is the range for each customer?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 05 Jun 2017 18:35:41 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Smoothing-outliers/m-p/1313792#M833345</guid>
      <dc:creator>sunny_talwar</dc:creator>
      <dc:date>2017-06-05T18:35:41Z</dc:date>
    </item>
    <item>
      <title>Re: Smoothing outliers</title>
      <link>https://community.qlik.com/t5/QlikView/Smoothing-outliers/m-p/1313793#M833346</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I will need to do this in the script. The range for each customer will have to be calculated based on their order history. Customer 51091 has an average of ~$7,900 (without the outlier) so an order of $80,390 is more than 10x their average. Likewise, their Max order was $8,121. Possibly exclude anything that is 150% their previous max order. I'm open to ideas.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 05 Jun 2017 18:52:23 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Smoothing-outliers/m-p/1313793#M833346</guid>
      <dc:creator>hobanwashburne</dc:creator>
      <dc:date>2017-06-05T18:52:23Z</dc:date>
    </item>
    <item>
      <title>Re: Smoothing outliers</title>
      <link>https://community.qlik.com/t5/QlikView/Smoothing-outliers/m-p/1313794#M833347</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;May be this&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;ExTableMapping:&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Mapping&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;LOAD Cust, &lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; Avg(Amt) * 1.5 as [Upper Limit]&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;FROM&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;SampleData01.xlsx&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;(ooxml, embedded labels, table is Sheet1)&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Group By Cust;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Fact:&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;LOAD Date, &lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; Cust, &lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; Amt,&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; UpperLimit&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Where Exclude = 1;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;LOAD Date, &lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; Cust, &lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; Amt,&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; ApplyMap('ExTableMapping', Cust, 0) as UpperLimit,&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; If(Amt &amp;lt;= ApplyMap('ExTableMapping', Cust, 0), 1, 0) as Exclude&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;FROM&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;SampleData01.xlsx&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;(ooxml, embedded labels, table is Sheet1);&lt;/STRONG&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 05 Jun 2017 18:59:30 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Smoothing-outliers/m-p/1313794#M833347</guid>
      <dc:creator>sunny_talwar</dc:creator>
      <dc:date>2017-06-05T18:59:30Z</dc:date>
    </item>
  </channel>
</rss>

