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willy06251
Fluorite | Level 6

Hi SAS experts

 

I would like to know how to manipulate the below data where the

distinct_id is numeric

prog is string

client_id is string

DISTINCT_ID prog CLIENT_ID
0 H 1101,1102
1 C 1110
1 D 1150
1 H 1170,1175,1154

 

 

so that I end up with below where client_id is now numeric

DISTINCT_ID prog CLIENT_ID
0 H 1101
0 H 1102
1 C 1101
1 D 1150
1 H 1170
1 H 1175
1 H 1154

 

So basically, upgrouping the datasets and deriving the transaction dataset.

I am aware that you normally go the other way around so I am finding this tricky.

 

How do you achieve this?

 

Thanks so much in advance!

 

1 ACCEPTED SOLUTION

Accepted Solutions
slchen
Lapis Lazuli | Level 10

data have;
input DISTINCT_ID prog $ CLIENT_ID $20.;
cards;
0 H 1101,1102
1 C 1110
1 D 1150
1 H 1170,1175,1154
;

data want(rename=(var=client_id));
set have;
do i=1 by 0;
var=scan(client_id,i);
if missing(var) then return;
i+1;
output;
end;
drop i client_id;
run;

View solution in original post

3 REPLIES 3
slchen
Lapis Lazuli | Level 10

data have;
input DISTINCT_ID prog $ CLIENT_ID $20.;
cards;
0 H 1101,1102
1 C 1110
1 D 1150
1 H 1170,1175,1154
;

data want(rename=(var=client_id));
set have;
do i=1 by 0;
var=scan(client_id,i);
if missing(var) then return;
i+1;
output;
end;
drop i client_id;
run;

willy06251
Fluorite | Level 6

Thank you so much! I appreciate your time 🙂

PGStats
Opal | Level 21

Keeping it simple:

 

data want;
set have;
do i = 1 to countw(client_id);
    id = input(scan(client_id, i), best.);
    output;
    end;
drop client_id i;
rename id=client_id;
run;

 

 

PG

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