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    <title>topic Re: non comulative measures in IM - relational source in SAS Web Report Studio</title>
    <link>https://communities.sas.com/t5/SAS-Web-Report-Studio/non-comulative-measures-in-IM-relational-source/m-p/70574#M1436</link>
    <description>Another example,&lt;BR /&gt;
if a have 6 account balances that I select along with four periods how can I do an average , with a relational source, such that it would divide my results by the period cardinality of 4 instead of multiplying 4 * 6 ?&lt;BR /&gt;
Again, I can see how an OLAP cube can achieve this via a calculated member but I can't figure it out in a relational source.</description>
    <pubDate>Tue, 04 May 2010 13:38:57 GMT</pubDate>
    <dc:creator>jplarios</dc:creator>
    <dc:date>2010-05-04T13:38:57Z</dc:date>
    <item>
      <title>non comulative measures in IM - relational source</title>
      <link>https://communities.sas.com/t5/SAS-Web-Report-Studio/non-comulative-measures-in-IM-relational-source/m-p/70571#M1433</link>
      <description>How do you deal with  non-comulatives in an IM with a relational source?</description>
      <pubDate>Wed, 24 Mar 2010 12:35:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Web-Report-Studio/non-comulative-measures-in-IM-relational-source/m-p/70571#M1433</guid>
      <dc:creator>jplarios</dc:creator>
      <dc:date>2010-03-24T12:35:48Z</dc:date>
    </item>
    <item>
      <title>Re: non comulative measures in IM - relational source</title>
      <link>https://communities.sas.com/t5/SAS-Web-Report-Studio/non-comulative-measures-in-IM-relational-source/m-p/70572#M1434</link>
      <description>Can you be more specific?</description>
      <pubDate>Wed, 21 Apr 2010 20:37:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Web-Report-Studio/non-comulative-measures-in-IM-relational-source/m-p/70572#M1434</guid>
      <dc:creator>Madelyn_SAS</dc:creator>
      <dc:date>2010-04-21T20:37:33Z</dc:date>
    </item>
    <item>
      <title>Re: non comulative measures in IM - relational source</title>
      <link>https://communities.sas.com/t5/SAS-Web-Report-Studio/non-comulative-measures-in-IM-relational-source/m-p/70573#M1435</link>
      <description>BIC_USER_3,&lt;BR /&gt;
For example semi-additive summations. Kind of like a 'sum if' .  Assuming my relation source has an architecture based on having all measures in a Fact table referencing dimension tables ( a dimensional approach). &lt;BR /&gt;
One of this dimensions could be, say , time. Account balances and inventory levels are examples where you don't want to sum across all dimensions. For inventory levels, I would not want to average across all the dimensions.  Having a function that restricts the measure would help.&lt;BR /&gt;
&lt;BR /&gt;
This is easily done with an OLAP cube since it uses MDX.  With a relational source, I would use SQL.</description>
      <pubDate>Wed, 28 Apr 2010 15:03:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Web-Report-Studio/non-comulative-measures-in-IM-relational-source/m-p/70573#M1435</guid>
      <dc:creator>jplarios</dc:creator>
      <dc:date>2010-04-28T15:03:30Z</dc:date>
    </item>
    <item>
      <title>Re: non comulative measures in IM - relational source</title>
      <link>https://communities.sas.com/t5/SAS-Web-Report-Studio/non-comulative-measures-in-IM-relational-source/m-p/70574#M1436</link>
      <description>Another example,&lt;BR /&gt;
if a have 6 account balances that I select along with four periods how can I do an average , with a relational source, such that it would divide my results by the period cardinality of 4 instead of multiplying 4 * 6 ?&lt;BR /&gt;
Again, I can see how an OLAP cube can achieve this via a calculated member but I can't figure it out in a relational source.</description>
      <pubDate>Tue, 04 May 2010 13:38:57 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Web-Report-Studio/non-comulative-measures-in-IM-relational-source/m-p/70574#M1436</guid>
      <dc:creator>jplarios</dc:creator>
      <dc:date>2010-05-04T13:38:57Z</dc:date>
    </item>
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