BookmarkSubscribeRSS Feed
Mastanvali
Calcite | Level 5

want:

column1

1

5,11,12,13

2

1

 

actual data for column1:

column1

1,1

5,11,12,13,5,11,12

2,2,2

1,1,1,1 

 

 

5 REPLIES 5
LinusH
Tourmaline | Level 20

Basic data modelling paradigm tells you that you shouldn't keep multiple values in the same column.

Your post is obvious test data, but what is the real life example?

My take would be to scan the columns and output each value to a new row.. Then you can remove duplicates using PROC SORT with NODUPRECS or NODUPKEY, or SQL with SELECT DISTINCT.

Data never sleeps
yabwon
Onyx | Level 15

Try this:

data have;
  infile cards4 dlm = '0a0d'x;
  input column : $ 256.;
cards4;
1,1
5,11,12,13,5,11,12
2,2,2
1,1,1,1
;;;;
run;
proc print;
run;

data want;
length element $ 20;
declare hash H(ordered:"A");
H.defineKey("element");
H.defineDone();
declare hiter I("H");

do until(eof);
  set have end=eof;
  H.CLEAR();

  if " " ne column then
    do k=1 to countw(column);
      element = scan(column,k,",");
      rc = H.add();    
    end;

  call missing(column);
  rc = I.first();
  do while (rc = 0);
    column=catx(",",column,element);
    rc = I.next();
  end;

  output;
end;

stop;
keep column;
run;

proc print;
run;

 

Bart

_______________
Polish SAS Users Group: www.polsug.com and communities.sas.com/polsug

"SAS Packages: the way to share" at SGF2020 Proceedings (the latest version), GitHub Repository, and YouTube Video.
Hands-on-Workshop: "Share your code with SAS Packages"
"My First SAS Package: A How-To" at SGF2021 Proceedings

SAS Ballot Ideas: one: SPF in SAS, two, and three
SAS Documentation



yabwon
Onyx | Level 15

One more ("classic") approach:

data have;
  infile cards4 dlm = '0a0d'x;
  input column : $ 256.;
cards4;
1,1
5,11,12,13,5,11,12
2,2,2
1,1,1,1
;;;;
run;
proc print;
run;

data want0;
  set have end=eof;
  
  id+1;
  if " " ne column then
    do k=1 to countw(column);
      element = scan(column,k,",");
      output;
    end;
keep id element;
run;

proc sort data = want0 nodupkey;
  by id element;
run;

data want0;
  set want0;
  by id;
  length column $ 256;
  retain column;

  if first.ID then column="";;

  column=catx(",",column,element);

  if last.ID then output;
  keep column;
run;

proc print;
run;

Bart

_______________
Polish SAS Users Group: www.polsug.com and communities.sas.com/polsug

"SAS Packages: the way to share" at SGF2020 Proceedings (the latest version), GitHub Repository, and YouTube Video.
Hands-on-Workshop: "Share your code with SAS Packages"
"My First SAS Package: A How-To" at SGF2021 Proceedings

SAS Ballot Ideas: one: SPF in SAS, two, and three
SAS Documentation



PeterClemmensen
Tourmaline | Level 20

Try this

 

data have;
infile datalines4;
input column : $ 20.;
datalines4;
1,1                
5,11,12,13,5,11,12 
2,2,2              
1,1,1,1            
;;;;

data want(keep=column newstring);
   set have;
   newstring=scan(column, 1, ',');
   do i=2 to countw(column,',');
      word=scan(column, i, ',');
      found=find(newstring, word, 'it');
      if found=0 then newstring=catx(',', newstring, word);
   end;
run;
Ksharp
Super User
data have;
infile datalines4;
input column : $ 20.;
datalines4;
1,1                
5,11,12,13,5,11,12 
2,2,2              
1,1,1,1            
;;;;

data want;
 set have;
 array x{999} $ 80;
 do i=1 to countw(column,',');
   temp=scan(column,i,',');
   if temp not in x then x{i}=temp;
 end;
 want=catx(',',of x{*});
 keep column want;
run;

sas-innovate-2024.png

Available on demand!

Missed SAS Innovate Las Vegas? Watch all the action for free! View the keynotes, general sessions and 22 breakouts on demand.

 

Register now!

How to Concatenate Values

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.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 5 replies
  • 484 views
  • 2 likes
  • 5 in conversation