BookmarkSubscribeRSS Feed
sivakoya
Obsidian | Level 7
IDcell(char-variable)home(char-variable)work(char-variable)Dup_phoneAll_sameDup_from
1(XXX)XXX-XXXX(XXX)XXX-XXXX(YYY)YYY-YYYYYNCELL_HOME
2(ZZZ)ZZZ-ZZZZ(YYY)YYY-YYYY(ZZZ)ZZZ-ZZZZYNCELL_WORK
3(ZZZ)ZZZ-ZZZZ(YYY)YYY-YYYY(YYY)YYY-YYYYYNHOME_WORK
4(XXX)XXX-XXXX(XXX)XXX-XXXX(XXX)XXX-XXXXYYALL_DUP
5(XXX)XXX-XXXX(YYY)YYY-YYYY(ZZZ)ZZZ-ZZZZNNNO_DUP
6(XXX)XXX-XXXXmissingmissingNNNO_DUP

 

 

I have above dataset with ID, cell, home, work variables. For each ID, I need to look if we have any duplicate phone information and and also identify which ones are duplicates. I need to be able to create last three columns of above data. MIssing values shouldnt be accounted for equality. Any quick logic using data step?  Thanks!

2 REPLIES 2
kiranv_
Rhodochrosite | Level 12

something like this

data have;
infile datalines truncover ;
informat id cell $12. home $12. work $12.;;
input 
ID cell $ home $ work $ ;
datalines;
1 (XXX)XXX-XXXX (XXX)XXX-XXXX (YYY)YYY-YYYY 
2 (ZZZ)ZZZ-ZZZZ (YYY)YYY-YYYY (ZZZ)ZZZ-ZZZZ 
3 (ZZZ)ZZZ-ZZZZ (YYY)YYY-YYYY (YYY)YYY-YYYY 
4 (XXX)XXX-XXXX (XXX)XXX-XXXX (XXX)XXX-XXXX 
5 (XXX)XXX-XXXX (YYY)YYY-YYYY (ZZZ)ZZZ-ZZZZ 
6 (XXX)XXX-XXXX
;



proc sql;
select  cell, 
        home ,
         work,
		case when ((cell = home) and (cell is not missing and home is not missing))or 
          			((home =work) and (cell is not missing and home is not missing)) or
         			 ((cell =work)and (cell is not missing and home is not missing)) then 'Y'
        	else 'N'
		end as dup_phone,
		case when cell = home and home =work and cell is not missing and home is not missing and work is not missing then 'Y'
   			 else 'N'
		end as all_same, 
		case 
			when  cell = home and home =work and cell is not missing and home is not missing and work is not missing then 'ALL_DUP'
            when ((cell = home) and (cell is not missing and home is not missing)) then 'CELL_HOME'
            when((home =work) and (cell is not missing and home is not missing)) then 'HOME_WORK'
            when ((cell =work)and (cell is not missing and home is not missing)) then 'CELL_WORK'
            
			else 'NO_DUP'
       end as Dup_from 
	from  have;
Ksharp
Super User
data have;
infile datalines truncover ;
informat id cell $12. home $12. work $12.;;
input 
ID cell $ home $ work $ ;
datalines;
1 (XXX)XXX-XXXX (XXX)XXX-XXXX (YYY)YYY-YYYY 
2 (ZZZ)ZZZ-ZZZZ (YYY)YYY-YYYY (ZZZ)ZZZ-ZZZZ 
3 (ZZZ)ZZZ-ZZZZ (YYY)YYY-YYYY (YYY)YYY-YYYY 
4 (XXX)XXX-XXXX (XXX)XXX-XXXX (XXX)XXX-XXXX 
5 (XXX)XXX-XXXX (YYY)YYY-YYYY (ZZZ)ZZZ-ZZZZ 
6 (XXX)XXX-XXXX
;
run;

data want;
 if _n_=1 then do;
  length k $ 100;
  declare hash h();
  h.definekey('k');
  h.definedone();
 end;
set have;
length dup_phone all_same $ 1 dup_from  temp $ 200;
array x{*} $ cell home work;
do i=1 to dim(x);
  k=x{i};
  h.replace();
end;

if h.num_items=1 then do;
  if cmiss(of x{*})=0 then do;dup_phone='Y';dup_from='All_dup';end;
   else do;dup_phone='N';dup_from='All_missing';end;
  all_same='Y';
end;
 else do;
        dup_phone='N';dup_from='No_dup';
              do i=1 to dim(x)-1;
			   do j=i+1 to dim(x);
                 if not missing(x{i}) and not missing(x{j}) and x{i}=x{j} then do; 
                    yes=1; dup_phone='Y';temp=catx('|',temp,cats(vname(x{i}),'_',vname(x{j})));
                 end;
			   end;
			  end; 
        if yes then dup_from=temp; 
        all_same='N';
	  end;
h.clear();
drop i j k temp yes;
run;

sas-innovate-2024.png

Don't miss out on SAS Innovate - Register now for the FREE Livestream!

Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.

 

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
  • 2 replies
  • 2384 views
  • 0 likes
  • 3 in conversation