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  <channel>
    <title>topic Re: Time Series data in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/Time-Series-data/m-p/639661#M190336</link>
    <description>&lt;P&gt;please try the below code&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data have1;
input policy_no trans_date:date9. amount;
cards;                      
1 01Jan2019 500                      
2 01Jan2019 300                      
1 01Feb2019 500                      
2 01Feb2019 300  
;

data have2;
input policy_no date_received:date9. lapse_score itc_score;
cards;                      
1 01Dec2018 50 500
1 28feb2019 65 580
2 01Jan2019 10 700
;

proc sql;
create table want as select a.*,b.date_received, b.lapse_score,b.itc_score from have1 as a left join have2 as b on a.policy_no=b.policy_no and b.date_received&amp;lt;=a.trans_date;
quit;&lt;/CODE&gt;&lt;/PRE&gt;</description>
    <pubDate>Tue, 14 Apr 2020 08:11:46 GMT</pubDate>
    <dc:creator>Jagadishkatam</dc:creator>
    <dc:date>2020-04-14T08:11:46Z</dc:date>
    <item>
      <title>Time Series data</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Time-Series-data/m-p/639658#M190333</link>
      <description>&lt;P&gt;Hi i need help, i have two table below, 1 is payment_transactions( consisting of all collections transactions), and the other table is ITC_data(consisting of credit score and lapse score). all i need is&amp;nbsp;every record from payment_transactions table with itc_score and lapse_scores(date_received) &amp;lt;= trans_date for each record&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&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; &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;&lt;STRONG&gt; &amp;nbsp; &amp;nbsp; Data Have&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;STRONG&gt; table1(payment_transactions table)&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; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;table2(ITC_data)&amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;/STRONG&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;&lt;/P&gt;
&lt;P&gt;policy_no&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; trans_date&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; amount&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; policy_no&amp;nbsp; &amp;nbsp; &amp;nbsp;date_received&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;lapse_score&amp;nbsp; &amp;nbsp; &amp;nbsp; itc_score&lt;/P&gt;
&lt;P&gt;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 01Jan2019&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;500&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; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;01Dec2018&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 50&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 500&lt;/P&gt;
&lt;P&gt;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 01Jan2019&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;300&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; &amp;nbsp; &amp;nbsp;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;30feb2019&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 65&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;580&lt;/P&gt;
&lt;P&gt;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 01Feb2019&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;500&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; &amp;nbsp; &amp;nbsp;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;01Jan2019&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;10&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;700&lt;/P&gt;
&lt;P&gt;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 01Feb2019&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;300&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; &amp;nbsp; &amp;nbsp;&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; &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;&lt;STRONG&gt; &amp;nbsp; Data Want&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;policy_no&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; trans_date&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; amount&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; date_received&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;lapse_score&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;itc_score&lt;/P&gt;
&lt;P&gt;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 01Jan2019&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;500&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;01Dec2018&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;50&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 500&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 01Jan2019&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;300&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 01Jan2019&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;10&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 700&amp;nbsp; &amp;nbsp;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;1&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 01Feb2019&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;500&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 01Dec2018&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;50&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 500 &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&lt;/P&gt;
&lt;P&gt;2&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 01Feb2019&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;300&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;&amp;nbsp;01Jan2019&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; 10&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp;700&lt;/P&gt;</description>
      <pubDate>Tue, 14 Apr 2020 07:54:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Time-Series-data/m-p/639658#M190333</guid>
      <dc:creator>Solly7</dc:creator>
      <dc:date>2020-04-14T07:54:07Z</dc:date>
    </item>
    <item>
      <title>Re: Time Series data</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Time-Series-data/m-p/639661#M190336</link>
      <description>&lt;P&gt;please try the below code&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data have1;
input policy_no trans_date:date9. amount;
cards;                      
1 01Jan2019 500                      
2 01Jan2019 300                      
1 01Feb2019 500                      
2 01Feb2019 300  
;

data have2;
input policy_no date_received:date9. lapse_score itc_score;
cards;                      
1 01Dec2018 50 500
1 28feb2019 65 580
2 01Jan2019 10 700
;

proc sql;
create table want as select a.*,b.date_received, b.lapse_score,b.itc_score from have1 as a left join have2 as b on a.policy_no=b.policy_no and b.date_received&amp;lt;=a.trans_date;
quit;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Tue, 14 Apr 2020 08:11:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Time-Series-data/m-p/639661#M190336</guid>
      <dc:creator>Jagadishkatam</dc:creator>
      <dc:date>2020-04-14T08:11:46Z</dc:date>
    </item>
    <item>
      <title>Re: Time Series data</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Time-Series-data/m-p/639663#M190338</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/296078"&gt;@Solly7&lt;/a&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Here is a way to achieve this, using PROC SQL&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;data table1;
	input policy_no trans_date:date9. amount;
	format trans_date date9.;
	datalines;
1 01Jan2019 500 
2 01Jan2019 300
1 01Feb2019 500
2 01Feb2019 300
	;
run;

data table2; /*30feb2019 have been replaced by 28feb2019*/
	input policy_no date_received:date9. lapse_score itc_score;
	format date_received date9.;
	datalines;
1 01Dec2018 50 500
1 28feb2019 65 580
2 01Jan2019 10 700
	;
run;

proc sql;
	create table want as
	select a.*, b.date_received, b.lapse_score, b.itc_score
	from table1 as a left join table2 as b
	on a.policy_no =b.policy_no  and b.date_received &amp;lt;= a.trans_date
	order by trans_date, policy_no;
quit;&lt;/CODE&gt;&lt;/PRE&gt;</description>
      <pubDate>Tue, 14 Apr 2020 08:20:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Time-Series-data/m-p/639663#M190338</guid>
      <dc:creator>ed_sas_member</dc:creator>
      <dc:date>2020-04-14T08:20:44Z</dc:date>
    </item>
    <item>
      <title>Re: Time Series data</title>
      <link>https://communities.sas.com/t5/SAS-Programming/Time-Series-data/m-p/639774#M190394</link>
      <description>&lt;P&gt;thanks a lot!! it works&lt;/P&gt;</description>
      <pubDate>Tue, 14 Apr 2020 14:19:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/Time-Series-data/m-p/639774#M190394</guid>
      <dc:creator>Solly7</dc:creator>
      <dc:date>2020-04-14T14:19:24Z</dc:date>
    </item>
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