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  <channel>
    <title>topic Re: Calculate percentages per variable in New SAS User</title>
    <link>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533586#M6202</link>
    <description>&lt;P&gt;PROC FREQ was designed to do things like this, and also produces an output data set.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc freq data=have;
    by postcode;
    table rooftype/out=want;
    weight quotes;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
    <pubDate>Thu, 07 Feb 2019 14:16:21 GMT</pubDate>
    <dc:creator>PaigeMiller</dc:creator>
    <dc:date>2019-02-07T14:16:21Z</dc:date>
    <item>
      <title>Calculate percentages per variable</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533541#M6195</link>
      <description>&lt;P&gt;I have a dataset which has circa 1.5million rows of data in the following format&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Postcode&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Roof Type&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &amp;nbsp;Quotes&lt;/P&gt;&lt;P&gt;Postcode1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Roof1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 10&lt;/P&gt;&lt;P&gt;Postcode1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;Roof2&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 20&lt;/P&gt;&lt;P&gt;Postcode1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;Roof3&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 30&lt;/P&gt;&lt;P&gt;Postcode2&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Roof1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 10&lt;/P&gt;&lt;P&gt;Postcode2&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;Roof2&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 20&lt;/P&gt;&lt;P&gt;Postcode3&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Roof2&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 10&lt;/P&gt;&lt;P&gt;Postcode3&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;Roof3&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 20&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'd like to output the percentage of the different roof types per post code, which I believe should look like:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Postcode&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Roof Type&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;%&lt;/P&gt;&lt;P&gt;Postcode1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Roof1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 16.66&lt;/P&gt;&lt;P&gt;Postcode1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;Roof2&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 33.33&lt;/P&gt;&lt;P&gt;Postcode1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;Roof3&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 50&lt;/P&gt;&lt;P&gt;Postcode2&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Roof1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 33.33&lt;/P&gt;&lt;P&gt;Postcode2&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;Roof2&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 66.66&lt;/P&gt;&lt;P&gt;Postcode3&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Roof2&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 33.33&lt;/P&gt;&lt;P&gt;Postcode3&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;Roof3&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 66.66&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Would you be able to advise on the syntax required to produce this type of output? it can be in cross tab format if easier but I would&amp;nbsp;need to export the&amp;nbsp;resulting dataset.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;thanks in advance&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Nandeep&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 07 Feb 2019 09:47:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533541#M6195</guid>
      <dc:creator>Nandeep</dc:creator>
      <dc:date>2019-02-07T09:47:07Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate percentages per variable</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533551#M6199</link>
      <description>&lt;P&gt;Please post test data in the form of a datastep.&amp;nbsp; As such this code is not tested:&lt;/P&gt;
&lt;PRE&gt;proc sql;
  create table want as 
  select a.*,
         (a.quotes / (select sum(quotes) from have where  postcode=a.postcode)) * 100
  from   have a;
quit;&lt;/PRE&gt;</description>
      <pubDate>Thu, 07 Feb 2019 10:25:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533551#M6199</guid>
      <dc:creator>RW9</dc:creator>
      <dc:date>2019-02-07T10:25:23Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate percentages per variable</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533586#M6202</link>
      <description>&lt;P&gt;PROC FREQ was designed to do things like this, and also produces an output data set.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc freq data=have;
    by postcode;
    table rooftype/out=want;
    weight quotes;
run;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Thu, 07 Feb 2019 14:16:21 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533586#M6202</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2019-02-07T14:16:21Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate percentages per variable</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533592#M6203</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/45151"&gt;@RW9&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;&lt;P&gt;Please post test data in the form of a datastep.&amp;nbsp; As such this code is not tested:&lt;/P&gt;&lt;PRE&gt;proc sql;
  create table want as 
  select a.*,
         (a.quotes / (select sum(quotes) from have where  postcode=a.postcode)) * 100
  from   have a;
quit;&lt;/PRE&gt;&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;&lt;P&gt;Thanks that's worked a treat&lt;/P&gt;</description>
      <pubDate>Thu, 07 Feb 2019 14:31:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533592#M6203</guid>
      <dc:creator>Nandeep</dc:creator>
      <dc:date>2019-02-07T14:31:28Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate percentages per variable</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533594#M6204</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/10892"&gt;@PaigeMiller&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;&lt;P&gt;PROC FREQ was designed to do things like this, and also produces an output data set.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc freq data=have;
    by postcode;
    table rooftype/out=want;
    weight quotes;
run;&lt;/CODE&gt;&lt;/PRE&gt;&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;&lt;P&gt;this also worked thanks&lt;/P&gt;</description>
      <pubDate>Thu, 07 Feb 2019 14:32:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533594#M6204</guid>
      <dc:creator>Nandeep</dc:creator>
      <dc:date>2019-02-07T14:32:00Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate percentages per variable</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533614#M6206</link>
      <description>&lt;P&gt;In this instance I would mark&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/10892"&gt;@PaigeMiller&lt;/a&gt;&amp;nbsp;'s answer as correct.&amp;nbsp; Always use the built in functions if they produce what you need as they will be simpler, faster, and use less resources.&amp;nbsp; SQL won't scale up well.&lt;/P&gt;</description>
      <pubDate>Thu, 07 Feb 2019 15:19:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533614#M6206</guid>
      <dc:creator>RW9</dc:creator>
      <dc:date>2019-02-07T15:19:03Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate percentages per variable</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533619#M6208</link>
      <description>&lt;P&gt;Hi Nandeep&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I would have used the proc freq method, but just an FYI with either method, it would take quite a while to run!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Regards&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 07 Feb 2019 15:26:13 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533619#M6208</guid>
      <dc:creator>Hasnan</dc:creator>
      <dc:date>2019-02-07T15:26:13Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate percentages per variable</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533635#M6210</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/260545"&gt;@Hasnan&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;Hi Nandeep&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I would have used the proc freq method, but just an FYI with either method, it would take quite a while to run!&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Regards&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;Approximately 0.22 sec to create a data set with 1,500,000 records randomly assigning 10 postcodes.&lt;/P&gt;
&lt;P&gt;0.14 Seconds for proc freq to summarize.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Of course that is my machine and your mileage may vary. But a proc freq for on the order of 1 or 2 million records for a single variable to a data set does not take very much time unless network or other performance issues arise.&lt;/P&gt;
&lt;P&gt;I would recommend NOPRINT if you only want a data set with proc freq to avoid potentials display time delays building largish html output tables if you have many codes.&lt;/P&gt;</description>
      <pubDate>Thu, 07 Feb 2019 15:52:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533635#M6210</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2019-02-07T15:52:51Z</dc:date>
    </item>
    <item>
      <title>Re: Calculate percentages per variable</title>
      <link>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533856#M6238</link>
      <description>&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/13884"&gt;@ballardw&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/260545"&gt;@Hasnan&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;&lt;P&gt;Hi Nandeep&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I would have used the proc freq method, but just an FYI with either method, it would take quite a while to run!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Regards&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;&lt;P&gt;Approximately 0.22 sec to create a data set with 1,500,000 records randomly assigning 10 postcodes.&lt;/P&gt;&lt;P&gt;0.14 Seconds for proc freq to summarize.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Of course that is my machine and your mileage may vary. But a proc freq for on the order of 1 or 2 million records for a single variable to a data set does not take very much time unless network or other performance issues arise.&lt;/P&gt;&lt;P&gt;I would recommend NOPRINT if you only want a data set with proc freq to avoid potentials display time delays building largish html output tables if you have many codes.&lt;/P&gt;&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Yes the NOPRINT certainly seems to have sped up the process, and even on my slow machine the Proc Freq was completed within 45 seconds.&lt;/P&gt;</description>
      <pubDate>Fri, 08 Feb 2019 07:30:21 GMT</pubDate>
      <guid>https://communities.sas.com/t5/New-SAS-User/Calculate-percentages-per-variable/m-p/533856#M6238</guid>
      <dc:creator>Nandeep</dc:creator>
      <dc:date>2019-02-08T07:30:21Z</dc:date>
    </item>
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