So what fails here is a SQL join.
Your join creates a cartesian product, which can easily overwhelm your storage before the WHERE is applied. Consider replacing the SQL with a DATA step; a range of dates can easily be stored in an ARRAY through which you loop with a DO.
To help you with code, we need usable example (fake) data in data steps with datalines (DO NOT SKIP THIS!) and the expected resulting dataset.
@Yanni_C wrote:
2. I want to split the dataset based on the different observations in 'characteristics', but I don't want to name the dataset using the name of the observations, I want to use dataset1, dataset2, dataset3,...
Then just name them that way.
Here is the step from the accepted answer:
%do i=1 %to &c;
data &&typ&i;
set have ;
Just change it to generate DATASET1, .... instead
%do i=1 %to &c;
data dataset&i;
set have ;
If your table was not big.
data have;
input cusip_id Name $10. date_issue :ddmmyy10. type $10.;
format date_issue ddmmyy10.;
datalines;
10343452 Zingas 01/04/2016 bench
10343489 Stephanie 01/04/2014 main
10343445 Olivia 01/04/2012 main
10343456 Amstel 01/04/2011 bench
10343457 KEO 01/04/2017 main
;
run;
proc freq data=have noprint;
table type/out=level nopercent;
run;
data _null_;
set level;
call execute(catt('data data_',type,';set have;if type="',type,'";run;'));
run;
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