I have Group and Cities columns in my dataset, and some of the cities are duplicates. I want to find the unique cities. How can I code that?
Group | Cities | Unique Cities |
A | Houston, Houston, New York, Los Angeles, Los Angeles | Houstin, New York, Los Angeles |
B | Chicago, Boston, Boston | Chicago, Boston |
C | Miami, Worcester, Worcester, Springfield, Springfield, Atlanta, Atlanta | Miami, Worcester, Springfield, Atlanta |
D | Oakland, Oakland, Oakland, Dallas, Dallas | Oakland, Dallas |
E | Lancaster, Boston, Madison, Madison, Madison, Madison | Lancaster, Boston, Madison |
A single pass with a data step will work:
data want;
set have;
length unique $ 100;
do i = 1 to countw(cities,',');
if indexw(unique,scan(cities,i,','))=0 then unique=catx(', ',unique,scan(cities,i,','));
end;
drop i;
run;
The Unique variable should have the same length as the cities variable.
Here's a rough version, for the final I would add some macros so you don't have to know how many cities their are, macro variables should be able to take care of that and shorten the code:
data have;
infile cards dsd dlm='*';
informat group $1. cities $100.;
input group$ cities$;
cards;
A*Houston, Houston, New York, Los Angeles, Los Angeles
B*Chicago, Boston, Boston
C*Miami, Worcester, Worcester, Springfield, Springfield, Atlanta, Atlanta
D*Oakland, Oakland, Oakland, Dallas, Dallas
E*Lancaster, Boston, Madison, Madison, Madison, Madison
;
data start;
set have;
comma=countc(cities,',')+1;
scan1=strip(scan(cities,comma-0,','));
scan2=strip(scan(cities,comma-1,','));
scan3=strip(scan(cities,comma-2,','));
scan4=strip(scan(cities,comma-3,','));
scan5=strip(scan(cities,comma-4,','));
scan6=strip(scan(cities,comma-5,','));
scan7=strip(scan(cities,comma-6,','));
run;
proc transpose data=start out=tran(drop=_NAME_);by group;var scan:;
proc sort data=tran nodup;by group col1;where not missing(col1);
proc transpose data=tran out=tran2(drop=_NAME_);by group;var col1;
data want(keep=group unique);
set tran2;
unique=catx(',',of col1-col4);
run;
A single pass with a data step will work:
data want;
set have;
length unique $ 100;
do i = 1 to countw(cities,',');
if indexw(unique,scan(cities,i,','))=0 then unique=catx(', ',unique,scan(cities,i,','));
end;
drop i;
run;
The Unique variable should have the same length as the cities variable.
Don’t miss the livestream kicking off May 7. It’s free. It’s easy. And it’s the best seat in the house.
Join us virtually with our complimentary SAS Innovate Digital Pass. Watch live or on-demand in multiple languages, with translations available to help you get the most out of every session.
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.
Ready to level-up your skills? Choose your own adventure.