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    <title>topic Re: how to compare frequency between two years data to find any abnormal in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/how-to-compare-frequency-between-two-years-data-to-find-any/m-p/750868#M236258</link>
    <description>How about you just output the datasets from proc freq and do proc compare?</description>
    <pubDate>Mon, 28 Jun 2021 17:59:33 GMT</pubDate>
    <dc:creator>tarheel13</dc:creator>
    <dc:date>2021-06-28T17:59:33Z</dc:date>
    <item>
      <title>how to compare frequency between two years data to find any abnormal</title>
      <link>https://communities.sas.com/t5/SAS-Programming/how-to-compare-frequency-between-two-years-data-to-find-any/m-p/750866#M236257</link>
      <description>&lt;P&gt;i have a dataset with about 80 variables and half million records. i want to do a frequency check on each variable and compare the frequencies of each variable with the previous year's frequencies to see if there are any abnormal numbers with the previous year. i used the proc freq statement to get all the variables' frequencies and then i did the same thing to get the previous years frequencies. then i copy/paste both results to an excel file and compare them one by one. it is time consuming. so i am wondering if anybody know an easy way to do this task in sas. Example of the sas code that i used as following:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc freq data=data2019;&lt;BR /&gt;table age diagage birthyear race raceeth hisp gender housing povertylevel&lt;BR /&gt;povlevpercent insurance risk................./missing;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc freq data=data2020;&lt;BR /&gt;table age diagage birthyear race raceeth hisp gender housing povertylevel&lt;BR /&gt;povlevpercent insurance risk................./missing;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 28 Jun 2021 17:48:32 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/how-to-compare-frequency-between-two-years-data-to-find-any/m-p/750866#M236257</guid>
      <dc:creator>juliajulia</dc:creator>
      <dc:date>2021-06-28T17:48:32Z</dc:date>
    </item>
    <item>
      <title>Re: how to compare frequency between two years data to find any abnormal</title>
      <link>https://communities.sas.com/t5/SAS-Programming/how-to-compare-frequency-between-two-years-data-to-find-any/m-p/750868#M236258</link>
      <description>How about you just output the datasets from proc freq and do proc compare?</description>
      <pubDate>Mon, 28 Jun 2021 17:59:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/how-to-compare-frequency-between-two-years-data-to-find-any/m-p/750868#M236258</guid>
      <dc:creator>tarheel13</dc:creator>
      <dc:date>2021-06-28T17:59:33Z</dc:date>
    </item>
    <item>
      <title>Re: how to compare frequency between two years data to find any abnormal</title>
      <link>https://communities.sas.com/t5/SAS-Programming/how-to-compare-frequency-between-two-years-data-to-find-any/m-p/750869#M236259</link>
      <description>&lt;P&gt;1. Combine your data sets into one, with a Year to identify which records come from which data set.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data combined;
set data2019 (in=in2019) data2020 (in=in2020);
if in2019 then year=2019;
else year=2020;
run;
&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;2. Run a PROC FREQ by year for each variable and save it to a data set&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc freq data=combined noprint;
table year*(age diagage birthyear race raceeth hisp gender housing ....) / missing out=want;
ods output onewayFreqs=want2
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;3. Transpose (PROC TRANSPOSE) so you have variable counts and each year, ie: (could also do this via PROC TABULATE but only for display purposes)&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;Variable   2019 2020
Age
&amp;lt;5              5        7
5 to 10        8       10
10 to 15      10     12
....
...
...&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;Fully worked example:&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data combined;
set sashelp.heart (in=in2019) sashelp.heart (in=in2020 obs=140);
if in2019 then year=2019;
else year=2020;
run;

ods select none;
proc freq data=combined ;
table year*(ageAtStart BP_STATUS ) / missprint ;
ods output crossTabFreqs=want;
run;
ods select all;

data long;
	length variable $32. variable_value $50.;
	set want;
	where not missing(year);
	Variable=scan(table, 2, '*');
	Variable_Value=strip(trim(vvaluex(variable)));
	presentation=catt(frequency, " (", trim(put(percent/100, percent7.1)), ")");
	if missing(variable_value) or variable_value = "." then variable_value = "MISSING";
	keep year variable  variable_value frequency percent presentation;
	label variable='Variable' variable_value='Variable Value';
run;

proc sort data=long;
by variable variable_value;
run;

proc transpose data=long out=wide (drop = _:);
by variable variable_value;
id year;
var frequency;
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;BLOCKQUOTE&gt;&lt;HR /&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/16488"&gt;@juliajulia&lt;/a&gt;&amp;nbsp;wrote:&lt;BR /&gt;
&lt;P&gt;i have a dataset with about 80 variables and half million records. i want to do a frequency check on each variable and compare the frequencies of each variable with the previous year's frequencies to see if there are any abnormal numbers with the previous year. i used the proc freq statement to get all the variables' frequencies and then i did the same thing to get the previous years frequencies. then i copy/paste both results to an excel file and compare them one by one. it is time consuming. so i am wondering if anybody know an easy way to do this task in sas. Example of the sas code that i used as following:&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc freq data=data2019;&lt;BR /&gt;table age diagage birthyear race raceeth hisp gender housing povertylevel&lt;BR /&gt;povlevpercent insurance risk................./missing;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc freq data=data2020;&lt;BR /&gt;table age diagage birthyear race raceeth hisp gender housing povertylevel&lt;BR /&gt;povlevpercent insurance risk................./missing;&lt;BR /&gt;run;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;HR /&gt;&lt;/BLOCKQUOTE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 28 Jun 2021 18:16:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/how-to-compare-frequency-between-two-years-data-to-find-any/m-p/750869#M236259</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2021-06-28T18:16:18Z</dc:date>
    </item>
    <item>
      <title>Re: how to compare frequency between two years data to find any abnormal</title>
      <link>https://communities.sas.com/t5/SAS-Programming/how-to-compare-frequency-between-two-years-data-to-find-any/m-p/750870#M236260</link>
      <description>Re-thinking, there's probably a simpler way to do this via PROC REPORT.....with a COMPUTE and ACROSS statement once the data is combined.</description>
      <pubDate>Mon, 28 Jun 2021 18:17:09 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/how-to-compare-frequency-between-two-years-data-to-find-any/m-p/750870#M236260</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2021-06-28T18:17:09Z</dc:date>
    </item>
    <item>
      <title>Re: how to compare frequency between two years data to find any abnormal</title>
      <link>https://communities.sas.com/t5/SAS-Programming/how-to-compare-frequency-between-two-years-data-to-find-any/m-p/750875#M236263</link>
      <description>&lt;P&gt;You may need think some of this through a bit more.&lt;/P&gt;
&lt;P&gt;For instance, one of your variables is Birthyear. I would&amp;nbsp; be very surprised if a data set named Data2019 had &lt;STRONG&gt;any&lt;/STRONG&gt; 2020 values while there could be some in the Data2020.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;What sort of value is PovertyLevel? If it is one of the cut off limits for a specific categorical range of the Federal Poverty Guidelines then the boundary values change every year.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Personally I would probably start by combining the two data sets making sure there is a variable that captures which set a particular record is from. Then use that variable such as&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;proc freq data=Combined;
table ( age diagage birthyear race raceeth hisp gender housing povertylevel
povlevpercent insurance risk.................) * datayear /missing norowpct nopct;
run;&lt;/PRE&gt;
&lt;P&gt;This will create data with the year as a column heading and you can see things next to each other.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;It would likely be helpful if you have any variables that are continuous such as Height, Weight, Income, (and likely ages as well) to create groups, such as 5-year or 10-year age ranges, 10 or 20 pound/ kg weight bands, or BMI categories.&lt;/P&gt;</description>
      <pubDate>Mon, 28 Jun 2021 19:18:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/how-to-compare-frequency-between-two-years-data-to-find-any/m-p/750875#M236263</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2021-06-28T19:18:30Z</dc:date>
    </item>
    <item>
      <title>Re: how to compare frequency between two years data to find any abnormal</title>
      <link>https://communities.sas.com/t5/SAS-Programming/how-to-compare-frequency-between-two-years-data-to-find-any/m-p/750880#M236265</link>
      <description>&lt;P&gt;Thank you very much. I only compare the distribution of the variables but not the values of the variables because the values are different from year to year. So i think i just combine the two years datasets and use the year as a crosstab to check the frequency. It seems served my purpose.&amp;nbsp;&lt;/P&gt;
&lt;DIV class="branch"&gt;
&lt;DIV&gt;
&lt;DIV align="center"&gt;
&lt;TABLE summary="Page Layout"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD&gt;
&lt;DIV align="center"&gt;
&lt;TABLE class="table" summary="Procedure Freq: Cross-Tabular Freq Table" frame="box" rules="all" cellspacing="0" cellpadding="5"&gt;
&lt;THEAD&gt;
&lt;TR&gt;
&lt;TH class="c header" colspan="4" scope="colgroup" width="440px" height="19px"&gt;Table&amp;nbsp;of&amp;nbsp;race/ethnicity by&amp;nbsp;year&lt;/TH&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TH class="c b header" rowspan="2" scope="col" width="205.143px" height="37px"&gt;(Race/Ethnicity)&lt;/TH&gt;
&lt;TH class="c b header" colspan="3" scope="colgroup" width="234.857px" height="18px"&gt;year&lt;/TH&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TH class="r header" scope="col" width="75.4286px" height="19px"&gt;2018&lt;/TH&gt;
&lt;TH class="r header" scope="col" width="75.4286px" height="19px"&gt;2019&lt;/TH&gt;
&lt;TH class="r header" scope="col" width="84px" height="19px"&gt;Total&lt;/TH&gt;
&lt;/TR&gt;
&lt;/THEAD&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TH class="l t rowheader" scope="row" width="205.143px" height="60px"&gt;.&lt;/TH&gt;
&lt;TD width="75.4286px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;3332&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;0.62&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="75.4286px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;5685&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;1.00&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="84px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;9017&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;&amp;nbsp;&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TH class="l t rowheader" scope="row" width="205.143px" height="60px"&gt;American Indian/Alaska Native&lt;/TH&gt;
&lt;TD width="75.4286px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;2681&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;0.50&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="75.4286px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;3070&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;0.54&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="84px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;5751&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;&amp;nbsp;&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TH class="l t rowheader" scope="row" width="205.143px" height="60px"&gt;Asian&lt;/TH&gt;
&lt;TD width="75.4286px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;7592&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;1.42&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="75.4286px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;8259&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;1.45&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="84px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;15851&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;&amp;nbsp;&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TH class="l t rowheader" scope="row" width="205.143px" height="60px"&gt;Black/African American&lt;/TH&gt;
&lt;TD width="75.4286px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;249832&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;46.81&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="75.4286px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;261734&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;46.10&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="84px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;511566&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;&amp;nbsp;&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TH class="l t rowheader" scope="row" width="205.143px" height="60px"&gt;Hispanic/Latino&lt;/TH&gt;
&lt;TD width="75.4286px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;122848&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;23.02&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="75.4286px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;131225&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;23.11&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="84px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;254073&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;&amp;nbsp;&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TH class="l t rowheader" scope="row" width="205.143px" height="60px"&gt;Native Hawaiian/Pacific Islander&lt;/TH&gt;
&lt;TD width="75.4286px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;924&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;0.17&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="75.4286px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;1058&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;0.19&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="84px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;1982&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;&amp;nbsp;&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TH class="l t rowheader" scope="row" width="205.143px" height="60px"&gt;White&lt;/TH&gt;
&lt;TD width="75.4286px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;139667&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;26.17&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="75.4286px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;149804&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;26.38&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="84px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;289471&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;&amp;nbsp;&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TH class="l t rowheader" scope="row" width="205.143px" height="60px"&gt;Multiple races&lt;/TH&gt;
&lt;TD width="75.4286px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;6882&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;1.29&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="75.4286px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;6968&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;1.23&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="84px" height="60px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;13850&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD class="r t data bottom_stacked_value"&gt;&amp;nbsp;&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TH class="l t rowheader" scope="row" width="205.143px" height="31px"&gt;Total&lt;/TH&gt;
&lt;TD width="75.4286px" height="31px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;533758&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="75.4286px" height="31px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;567803&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;TD width="84px" height="31px" class="r t stacked_cell data"&gt;
&lt;TABLE border="0" width="100%" cellspacing="0" cellpadding="5"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD class="r t data top_stacked_value"&gt;1101561&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/DIV&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;</description>
      <pubDate>Mon, 28 Jun 2021 19:50:54 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/how-to-compare-frequency-between-two-years-data-to-find-any/m-p/750880#M236265</guid>
      <dc:creator>juliajulia</dc:creator>
      <dc:date>2021-06-28T19:50:54Z</dc:date>
    </item>
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