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    <title>topic Create a pivot/summary table in script? in QlikView</title>
    <link>https://community.qlik.com/t5/QlikView/Create-a-pivot-summary-table-in-script/m-p/323260#M1196664</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Afternoon folks, anyone have any suggestions?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Fri, 22 Apr 2011 18:35:17 GMT</pubDate>
    <dc:creator>kkorynta</dc:creator>
    <dc:date>2011-04-22T18:35:17Z</dc:date>
    <item>
      <title>Create a pivot/summary table in script?</title>
      <link>https://community.qlik.com/t5/QlikView/Create-a-pivot-summary-table-in-script/m-p/323256#M1196660</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;Here's the table I created in excel that I am trying to replicate the format in qlikview:&lt;/P&gt;&lt;P&gt;&lt;IMG 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" /&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Here's what I have in Qlikview so far:&lt;/P&gt;&lt;P&gt;&lt;IMG src="data:image/png;base64,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" /&gt;&lt;/P&gt;&lt;P&gt;As you can see, I'm able to use objects as a means of getting those values. My dilemma is, I need to use these frequency values to run other sets of analysis (such as creating a scatter plot charts displaying leads created vs 0 to 30 days). Is there a way to replicate this effect in the script? Perhaps the other approach would be to reference to the column in the object?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 20 Apr 2011 20:09:16 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Create-a-pivot-summary-table-in-script/m-p/323256#M1196660</guid>
      <dc:creator>kkorynta</dc:creator>
      <dc:date>2011-04-20T20:09:16Z</dc:date>
    </item>
    <item>
      <title>Create a pivot/summary table in script?</title>
      <link>https://community.qlik.com/t5/QlikView/Create-a-pivot-summary-table-in-script/m-p/323257#M1196661</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I'm sorry, it looks like those pictures did not load properly. Here they are:&lt;/P&gt;&lt;P&gt;&lt;A href="http://community.qlik.com/cfs-file.ashx/__key/CommunityServer.Discussions.Components.Files/674/8838.P1.png"&gt;&lt;IMG alt="" border="0" src="http://community.qlik.com/resized-image.ashx/__size/550x0/__key/CommunityServer.Discussions.Components.Files/674/8838.P1.png" /&gt;&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="http://community.qlik.com/cfs-file.ashx/__key/CommunityServer.Discussions.Components.Files/674/2068.P2.png"&gt;&lt;IMG alt="" border="0" src="http://community.qlik.com/resized-image.ashx/__size/550x0/__key/CommunityServer.Discussions.Components.Files/674/2068.P2.png" /&gt;&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 20 Apr 2011 20:12:29 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Create-a-pivot-summary-table-in-script/m-p/323257#M1196661</guid>
      <dc:creator>kkorynta</dc:creator>
      <dc:date>2011-04-20T20:12:29Z</dc:date>
    </item>
    <item>
      <title>Create a pivot/summary table in script?</title>
      <link>https://community.qlik.com/t5/QlikView/Create-a-pivot-summary-table-in-script/m-p/323258#M1196662</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;It looks like you just want to put the "Leads Created" into the main chart? I think you could do it with a calculated dimension like this:&lt;/P&gt;&lt;P style="padding-left:30px;"&gt;aggr(count(Lead),CreatedDate)&lt;/P&gt;&lt;P&gt;Or whatever your actual field names are. I wouldn't do that counting in the script - too inflexible, not responsive to selections, and so on.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 20 Apr 2011 23:00:18 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Create-a-pivot-summary-table-in-script/m-p/323258#M1196662</guid>
      <dc:creator>johnw</dc:creator>
      <dc:date>2011-04-20T23:00:18Z</dc:date>
    </item>
    <item>
      <title>Create a pivot/summary table in script?</title>
      <link>https://community.qlik.com/t5/QlikView/Create-a-pivot-summary-table-in-script/m-p/323259#M1196663</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Alright, that's a great start.&lt;/P&gt;&lt;P&gt;&lt;A href="http://community.qlik.com/cfs-file.ashx/__key/CommunityServer.Discussions.Components.Files/674/4544.P3.png"&gt;&lt;IMG alt="" border="0" src="http://community.qlik.com/resized-image.ashx/__size/550x0/__key/CommunityServer.Discussions.Components.Files/674/4544.P3.png" /&gt;&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;The onto the next part of the question - how do I go about referencing the values (summations/counts) to create a graph based off of those values?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;For example, I'd like to be able to create a scatter plot chart displaying leads (on y axis) and and the age bucket (0 to 30 days) on the x-axis. So the plot points should be&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;(16,30), (79,68), (70,78), (63,75)... and so forth.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 21 Apr 2011 17:09:47 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Create-a-pivot-summary-table-in-script/m-p/323259#M1196663</guid>
      <dc:creator>kkorynta</dc:creator>
      <dc:date>2011-04-21T17:09:47Z</dc:date>
    </item>
    <item>
      <title>Create a pivot/summary table in script?</title>
      <link>https://community.qlik.com/t5/QlikView/Create-a-pivot-summary-table-in-script/m-p/323260#M1196664</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Afternoon folks, anyone have any suggestions?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 22 Apr 2011 18:35:17 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Create-a-pivot-summary-table-in-script/m-p/323260#M1196664</guid>
      <dc:creator>kkorynta</dc:creator>
      <dc:date>2011-04-22T18:35:17Z</dc:date>
    </item>
    <item>
      <title>Create a pivot/summary table in script?</title>
      <link>https://community.qlik.com/t5/QlikView/Create-a-pivot-summary-table-in-script/m-p/323261#M1196665</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I'm not thinking of a good way. Maybe if you could post a sample data set with an inline load? Then I'd have something to play with. As is, I'm just not sure what your data model looks like, and I'm not going to want to type in all that data by hand anyway.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 26 Apr 2011 23:59:46 GMT</pubDate>
      <guid>https://community.qlik.com/t5/QlikView/Create-a-pivot-summary-table-in-script/m-p/323261#M1196665</guid>
      <dc:creator>johnw</dc:creator>
      <dc:date>2011-04-26T23:59:46Z</dc:date>
    </item>
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