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    <title>topic Re: Conditional formatting in proc report for a variable that is both numerical and categorical in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Conditional-formatting-in-proc-report-for-a-variable-that-is/m-p/504336#M134946</link>
    <description>&lt;P&gt;Thank you so much. It really helps a lot.&lt;/P&gt;</description>
    <pubDate>Mon, 15 Oct 2018 14:32:42 GMT</pubDate>
    <dc:creator>asinusdk</dc:creator>
    <dc:date>2018-10-15T14:32:42Z</dc:date>
    <item>
      <title>Conditional formatting in proc report for a variable that is both numerical and categorical</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditional-formatting-in-proc-report-for-a-variable-that-is/m-p/503961#M134785</link>
      <description>&lt;P&gt;My data is sorted by both year and personal id and there are plural observations per each year as well.&lt;/P&gt;&lt;P&gt;While some predictors are time-invariant, others are time-varying (but categorical).&amp;nbsp;&lt;/P&gt;&lt;P&gt;Some are dead, so there are variables indicating dates of death, but it is only shown in the last year.&amp;nbsp;&lt;/P&gt;&lt;P&gt;I should manage this data so that I can exclude some IDs by criteria (such as excluding people who didn't show any change in time-varying variables and I also have to count the number of the event if it happens.)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;My data looks like this.&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;year&amp;nbsp; &amp;nbsp;id&amp;nbsp; &amp;nbsp;sex&amp;nbsp; &amp;nbsp;inc&amp;nbsp; &amp;nbsp;visit1&amp;nbsp; visit2 death&lt;/P&gt;&lt;P&gt;1999&amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/P&gt;&lt;P&gt;2000&amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/P&gt;&lt;P&gt;2000&amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &lt;SPAN&gt;.&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;2001&amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; .&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &lt;SPAN&gt;.&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;2002&amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; .&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;SPAN&gt;.&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;1999&amp;nbsp; 2&amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;1999&amp;nbsp; 2&amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;1999&amp;nbsp; 2&amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;2000&amp;nbsp; 2&amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;2001&amp;nbsp; 2&amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 200108&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;1999&amp;nbsp; 3&amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&amp;nbsp; &amp;nbsp; &amp;nbsp; .&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;2000&amp;nbsp; 3&amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&amp;nbsp; &amp;nbsp; &amp;nbsp;.&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;2001&amp;nbsp; 3&amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&amp;nbsp; &amp;nbsp; &amp;nbsp; .&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;2002&amp;nbsp; 3&amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&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;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;so I want to exclude id3 because the value in inc is constant and also want to calculate the number of visit1 and visit 2 for id 1 and id2 by year. I wonder how I can manipulate data. Should I stick to person-period format? Otherwise, should I transpose the data so that it becomes person-level data for data handling.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;+addition&lt;/P&gt;&lt;P&gt;Thanks for the suggestion. Here is the data I want to get&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;year&amp;nbsp; &amp;nbsp;id&amp;nbsp; &amp;nbsp;sex&amp;nbsp; &amp;nbsp;inc&amp;nbsp; &amp;nbsp;visit1&amp;nbsp; visit2 death total_visit1&amp;nbsp;&lt;SPAN&gt;total_visit2&lt;/SPAN&gt;&amp;nbsp; &amp;nbsp;&lt;/P&gt;&lt;P&gt;1999&amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&amp;nbsp; &amp;nbsp; &amp;nbsp; 1&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; 3&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 0&lt;/P&gt;&lt;P&gt;2000&amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&amp;nbsp; &amp;nbsp; &amp;nbsp; 1&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;SPAN&gt;3&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 0&lt;/SPAN&gt; &amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;2000&amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&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; 3&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 0&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;2001&amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; .&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&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;3&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 0&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;2002&amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; .&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;SPAN&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; 3&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 0&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;1999&amp;nbsp; 2&amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 5&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 5&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;1999&amp;nbsp; 2&amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;5&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 5&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;1999&amp;nbsp; 2&amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;5&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 5&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;2000&amp;nbsp; 2&amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;3&amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; .&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;5&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 5&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;2001&amp;nbsp; 2&amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 200108&amp;nbsp; &amp;nbsp;5&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 5&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I eliminated id3 because there is no&amp;nbsp;variation in inc. I want IDs that showed variation in inc. How can I eliminate those who don't meet the criteria?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thanks in advance.&lt;/P&gt;</description>
      <pubDate>Sun, 14 Oct 2018 02:22:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditional-formatting-in-proc-report-for-a-variable-that-is/m-p/503961#M134785</guid>
      <dc:creator>asinusdk</dc:creator>
      <dc:date>2018-10-14T02:22:27Z</dc:date>
    </item>
    <item>
      <title>Re: Conditional formatting in proc report for a variable that is both numerical and categorical</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditional-formatting-in-proc-report-for-a-variable-that-is/m-p/503979#M134797</link>
      <description>&lt;P&gt;Your explanations are hard to follow.&lt;/P&gt;
&lt;P&gt;Please show the expected output, and the logic used to achieve the values shown.&lt;/P&gt;</description>
      <pubDate>Sat, 13 Oct 2018 04:04:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditional-formatting-in-proc-report-for-a-variable-that-is/m-p/503979#M134797</guid>
      <dc:creator>ChrisNZ</dc:creator>
      <dc:date>2018-10-13T04:04:03Z</dc:date>
    </item>
    <item>
      <title>Re: Conditional formatting in proc report for a variable that is both numerical and categorical</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditional-formatting-in-proc-report-for-a-variable-that-is/m-p/504006#M134813</link>
      <description>&lt;P&gt;There is a good reason for &lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/16961"&gt;@ChrisNZ&lt;/a&gt;&amp;nbsp;to ask for a sample desired output.&amp;nbsp; For instance, it is not clear if you want to generate one record per year (edited in "year") with total visit counts, or preserve multiple records per year, but including a total yearly visit1 and visit2 count.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;However, as to your question, there is no apparent reason to reorganize the data layout to accommodate your requests.&lt;/P&gt;</description>
      <pubDate>Sat, 13 Oct 2018 15:34:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditional-formatting-in-proc-report-for-a-variable-that-is/m-p/504006#M134813</guid>
      <dc:creator>mkeintz</dc:creator>
      <dc:date>2018-10-13T15:34:06Z</dc:date>
    </item>
    <item>
      <title>Re: Conditional formatting in proc report for a variable that is both numerical and categorical</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditional-formatting-in-proc-report-for-a-variable-that-is/m-p/504082#M134851</link>
      <description>&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data have;
input year   id   sex   inc   visit1  visit2 death;
cards;
1999  1     1       3      1        .         .
2000  1     1       3      1        .         .
2000  1     1       2      1        .         .
2001  1     1       2      .        .         .
2002  1     1       2      .         .         .
1999  2     2       3      1        1        .
1999  2     2       3      1        1        .
1999  2     2       3      1        1        .
2000  2     2       3      1        1        .
2001  2     2       2      1        1        200108
1999  3     2       3      .        .        .
2000  3     2       3     .        .        .
2001  3     2       3      .        .        .
2002  3     2       3      .        .        .
;
run;
proc sql;
create table want as
 select *,coalesce(sum(visit1),0) as total_visit1 ,
coalesce(sum(visit2),0) as total_visit2
  from have
   group by id
    having count(distinct inc) ne 1
	 order by id,year;
quit;

 &lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Sun, 14 Oct 2018 10:21:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditional-formatting-in-proc-report-for-a-variable-that-is/m-p/504082#M134851</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2018-10-14T10:21:19Z</dc:date>
    </item>
    <item>
      <title>Re: Conditional formatting in proc report for a variable that is both numerical and categorical</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Conditional-formatting-in-proc-report-for-a-variable-that-is/m-p/504336#M134946</link>
      <description>&lt;P&gt;Thank you so much. It really helps a lot.&lt;/P&gt;</description>
      <pubDate>Mon, 15 Oct 2018 14:32:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Conditional-formatting-in-proc-report-for-a-variable-that-is/m-p/504336#M134946</guid>
      <dc:creator>asinusdk</dc:creator>
      <dc:date>2018-10-15T14:32:42Z</dc:date>
    </item>
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