Another way is this:
/* Note that value of libname is UPPERCASE */
proc sql;
create table columns as
select name as variable
,memname as table_name
from dictionary.columns
where libname = 'WORK'
;
quit;
/* SAS 9.4 or later */
ods excel file="c:\temp\variables.xlsx" style=minimal;
proc print data=columns;
run;
ods excel close;
/* earlier versions, using SAS/ACCESS to PC Files */
PROC EXPORT data = columns
OUTFILE = 'variables.xls'
DBMS = EXCEL REPLACE;
SHEET='VARLIST';
RUN;
Another way is this:
/* Note that value of libname is UPPERCASE */
proc sql;
create table columns as
select name as variable
,memname as table_name
from dictionary.columns
where libname = 'WORK'
;
quit;
/* SAS 9.4 or later */
ods excel file="c:\temp\variables.xlsx" style=minimal;
proc print data=columns;
run;
ods excel close;
/* earlier versions, using SAS/ACCESS to PC Files */
PROC EXPORT data = columns
OUTFILE = 'variables.xls'
DBMS = EXCEL REPLACE;
SHEET='VARLIST';
RUN;
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!
Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
Find more tutorials on the SAS Users YouTube channel.