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    <title>topic Rank Issues - Obtaining Rank non serially i.e through a set of columns and not in QlikView</title>
    <link>https://community.qlik.com/t5/QlikView/Rank-Issues-Obtaining-Rank-non-serially-i-e-through-a-set-of/m-p/303098#M1202531</link>
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    <pubDate>Wed, 02 Feb 2011 20:51:04 GMT</pubDate>
    <dc:creator />
    <dc:date>2011-02-02T20:51:04Z</dc:date>
    <item>
      <title>Rank Issues - Obtaining Rank non serially i.e through a set of columns and not</title>
      <link>https://community.qlik.com/t5/QlikView/Rank-Issues-Obtaining-Rank-non-serially-i-e-through-a-set-of/m-p/303097#M1202530</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;Am a QV 10 user that likes to fiddle with developed docs to draw out data in different and more efficient ways.&lt;/P&gt;&lt;P&gt;Have come upon a stumbling block that is an impediment to a particular aspect of functionality we are are trying to implement through a set of reports.&lt;/P&gt;&lt;P&gt;Am illustrating my problem through images of the reports already in QV:&lt;/P&gt;&lt;P&gt;&lt;B&gt;Report 1: - Rank is based on on Avg. Price and is being generated through a set of rows within one column. No problems with this report.&lt;BR /&gt;&lt;/B&gt;&lt;/P&gt;&lt;P&gt;&lt;IMG 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" /&gt;&lt;/P&gt;&lt;P style="font-weight: bold"&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;&lt;B&gt;Report 2 A - A Similar report to report 1 but arranged differently. As is evident, the Gardens and Avg. Price are identical to the above report but the rank is being drawn out incorrectly.&lt;/B&gt; Require the same rank (based on Report 1) to feature in this report.&lt;/P&gt;&lt;P&gt;&lt;IMG 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/&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P style="font-weight: bold"&gt;Report 2 B - An extension of Report 2 A which will illustrate further the depth of my problem&lt;/P&gt;&lt;P&gt;&lt;IMG 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" /&gt;&lt;/P&gt;&lt;P&gt;As is clear from the above report, rank is based on the average rank for each garden within a single column. We require rank to be generated for each garden for the average prices within each row, which in fact is nothing but report 1 transport into rows instead of a columnar format.&lt;/P&gt;&lt;P&gt;The code being used to generated rank currently (for all the displayed reports is):&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;PRE ___default_attr="plain" class="jive_text_macro jive_macro_code" jivemacro="code"&gt;&lt;BR /&gt;//RANK( Total (SUM(If(Price&amp;gt;0,NETAMT))/ SUM(If(Price&amp;gt;0,Weight))), 99999)&lt;BR /&gt;RANK( Total If( SUM(If(Price&amp;gt;0,Weight))&amp;gt; AboveWeight, (SUM(If(Price&amp;gt;0,NETAMT))/ SUM(If(Price&amp;gt;0,Weight)))), 99999)&lt;BR /&gt;&lt;/PRE&gt;&lt;BR /&gt;&lt;BR /&gt; &lt;P&gt;&lt;/P&gt;&lt;P&gt;Have spent the greater part of the day trying to understand why this won't work - am sure its fairly simple. Would be extremely grateful for any solutions / feedback.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Kanak Puri&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 02 Feb 2011 20:49:35 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Rank-Issues-Obtaining-Rank-non-serially-i-e-through-a-set-of/m-p/303097#M1202530</guid>
      <dc:creator />
      <dc:date>2011-02-02T20:49:35Z</dc:date>
    </item>
    <item>
      <title>Rank Issues - Obtaining Rank non serially i.e through a set of columns and not</title>
      <link>https://community.qlik.com/t5/QlikView/Rank-Issues-Obtaining-Rank-non-serially-i-e-through-a-set-of/m-p/303098#M1202531</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;IMG alt="" /&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 02 Feb 2011 20:51:04 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Rank-Issues-Obtaining-Rank-non-serially-i-e-through-a-set-of/m-p/303098#M1202531</guid>
      <dc:creator />
      <dc:date>2011-02-02T20:51:04Z</dc:date>
    </item>
    <item>
      <title>Rank Issues - Obtaining Rank non serially i.e through a set of columns and not</title>
      <link>https://community.qlik.com/t5/QlikView/Rank-Issues-Obtaining-Rank-non-serially-i-e-through-a-set-of/m-p/303099#M1202532</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Report 2 A&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 02 Feb 2011 21:21:31 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Rank-Issues-Obtaining-Rank-non-serially-i-e-through-a-set-of/m-p/303099#M1202532</guid>
      <dc:creator />
      <dc:date>2011-02-02T21:21:31Z</dc:date>
    </item>
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