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Ronein
Meteorite | Level 14

Hello, For each customer ID there is a column that contain reasons for overide. This field called X (reasons for overide) is concatenation of strings. My question: What is the way to create the want data set? The want data set will contain multiple new columns (Each overide reason will have column ) and will get binary values 1/0

data have;
input ID X $20.;
cards;
111 RF201|RF205|RF209
222 RF201|RF211
333 RF304
;
Run;

data want;
input ID RF201 RF205 RF209 RF211 RF304 ;
datalines;
111 1 1 1 0 0
222 1 0 0 1 0
333 0 0 0 0 1
;
run;
1 ACCEPTED SOLUTION

Accepted Solutions
Ksharp
Super User
data have;
input ID X $20.;
cards;
111 RF201|RF205|RF209
222 RF201|RF211
333 RF304
;
Run;

data temp;
 set have;
 value=1;
 do i=1 to countw(X,'|');
   temp=scan(X,i,'|');output;
 end;
keep id temp value;
run;
proc transpose data=temp out=temp2(drop=_name_);
by id;
var value;
id temp;
run;
proc stdize data=temp2 out=want reponly missing=0;
run;

View solution in original post

5 REPLIES 5
Ksharp
Super User
data have;
input ID X $20.;
cards;
111 RF201|RF205|RF209
222 RF201|RF211
333 RF304
;
Run;

data temp;
 set have;
 value=1;
 do i=1 to countw(X,'|');
   temp=scan(X,i,'|');output;
 end;
keep id temp value;
run;
proc transpose data=temp out=temp2(drop=_name_);
by id;
var value;
id temp;
run;
proc stdize data=temp2 out=want reponly missing=0;
run;
Ronein
Meteorite | Level 14

Thanks,

When I add one more row with missing value (X column) then I recieve a warning

WARNING: 1 observations omitted due to missing ID values.

What is the way to prevent this warning?

 

Data have;
input CustID X $20.;
cards;
111 RF201|RF205|RF209
222 RF201|RF211
333 RF304
444
;
Run;

/****Wide To Long****/
data temp;
set have;
value=1;
do i=1 to countw(X,'|');
temp=scan(X,i,'|');
output;
end;
keep CustID temp value;
run;

/****Long To Wide****/
proc transpose data=temp out=temp2(drop=_name_);
by CustID;
var value;
id temp;
run;
/*WARNING: 1 observations omitted due to missing ID values.*/


/***Convert Missing into zero***/
proc stdize data=temp2 out=want reponly missing=0;
run;
andreas_lds
Jade | Level 19

another way:

data split;
   set have;

   length rf $ 5;

   do i = 1 to countw(x, '|');
      rf = scan(x, i, '|');
      output;
   end;

   drop x i;
run;


proc sql noprint;
   select distinct rf
      into :rf_list separated by ' '
      from work.split;
quit;


data want;
   set split;
   by id;

   length &rf_list. 8;
   retain &rf_list.;

   array rf_list &rf_list.;

   if first.id then do;
      do i = 1 to dim(rf_list);
         rf_list[i] = 0;
      end;
   end;

   rf_list[findw("&rf_list", rf, ' ', 'ets')] = 1;

   if last.id then output;

   drop i rf;
run;
Tom
Super User Tom
Super User

If you know in advance the names you want to use for the flag variables (and the names matches the text you have in your X variable) you can just use an ARRAY and the FINDW() function.

data have;
  input ID X $20.;
cards;
111 RF201|RF205|RF209
222 RF201|RF211
333 RF304
444
;

data want;
  set have;
  array flags RF201 RF205 RF209 RF211 RF304;
  do over flags;
    flags=0<findw(x,vname(flags),'|','ti');
  end;
run;

 

Ksharp
Super User
/*
OK.It looks like you have some unexpected data.
*/
Data have;
input CustID X $20.;
cards;
111 RF201|RF205|RF209
222 RF201|RF211
333 RF304
444
;
Run;

/****Wide To Long****/
data temp;
set have(where=(X is not missing));
value=1;
do i=1 to countw(X,'|');
temp=scan(X,i,'|');
output;
end;
keep CustID temp value;
run;

/****Long To Wide****/
proc transpose data=temp out=temp2(drop=_name_) ;
by CustID;
var value;
id temp;
run;
/*Combine  ID with missing X back.*/
data temp2;
 set temp2  have(where=(X is missing));
 drop X;
run;


/***Convert Missing into zero***/
proc stdize data=temp2 out=want reponly missing=0;
run;

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