I am trying to merge two datasets. The issue is the first dataset has missing values in column c1, if missing c1 then merge with c2.
data have1;
input ID c1 $ c2 $;
infile datalines missover;
datalines;
1 A A
2 B
3 C
4 . E
;
data have2;
input c1 $ c2 $;
infile datalines missover;
datalines;
A AA
B BB
C CC
D DD
E EE
;
data want;
input ID c1 $ result $;
infile datalines missover;
datalines;
1 A AA
2 B BB
3 C CC
4 E EE
;
data want;
set have1;
if _n_ = 1
then do;
length result $8;
declare hash h2 (dataset:"have2 (rename=(c2=result))");
h2.definekey("c1");
h2.definedata("result");
h2.definedone();
end;
c1 = coalescec(c1,c2);
if h2.find() ne 0 then result = "";
run;
Untested, posted from my tablet.
SQL version:
proc sql;
create table want as
select id, coalesce(have1.c1, have1.c2) as c1, have2.c2 as result
from have1
left join have2
on coalesce(have1.c1, have1.c2) = have2.c1
;
quit;
Small remark, since c1 is declared as char, the <.> is stored as a period, not as MISSING.
April 27 – 30 | Gaylord Texan | Grapevine, Texas
Walk in ready to learn. Walk out ready to deliver. This is the data and AI conference you can't afford to miss.
Register now and save with the early bird rate—just $795!
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.
Ready to level-up your skills? Choose your own adventure.