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aminkarimid
Lapis Lazuli | Level 10

Hello everybody,

I want to find observations which have same attitudes by TRD_EVENT_DT, TRD_STCK_CD, TRD_EVENT_TM, TRD_PR, TRD_TUROVR variables.

Variables are: 

TRD_EVENT_DT = Date

TRD_STCK_CD = Name

TRD_EVENT_TM = Time

TRD_PR = Price

TRD_TUROVR = Turnover

 

I use code below:

 

proc sort data=sampledata out=sampledata01;
    by  TRD_EVENT_DT TRD_STCK_CD TRD_EVENT_TM TRD_PR TRD_TUROVR;
run;
* Using PROC FREQ to find duplicate observations and route them to an output data set with multiple key variables;
proc freq data = sampledata01 noprint ;
by TRD_EVENT_DT TRD_STCK_CD TRD_EVENT_TM TRD_PR TRD_TUROVR;
table  TRD_EVENT_DT TRD_STCK_CD TRD_EVENT_TM TRD_PR TRD_TUROVR / out = sampledata_DUP 
(keep = TRD_EVENT_DT TRD_STCK_CD TRD_EVENT_TM TRD_PR TRD_TUROVR Count where = (Count > 1)) ;
run;

 

Is this code true?

If not, Please tell me which statement is wrong.

Thanks in advance.

1 ACCEPTED SOLUTION

Accepted Solutions
Reeza
Super User

Filter it. A duplicate will have a count of more than 1. 

View solution in original post

3 REPLIES 3
Reeza
Super User

You should use PROC SORT to actively identify your duplicates. 

 

If youre using PROC FREQ you need to remove the BY and add * between the variables. 

This finds duplicates across age and sex. 

 

Proc freq data = SASHELP.class;
Table sex*age / out = record_count list;
Run;
aminkarimid
Lapis Lazuli | Level 10

Capture.PNG

 

This pic is a part of output.
@Reeza's codes shows frequency of all data. However, I just want to find duplicate observations.
Thanks.

Reeza
Super User

Filter it. A duplicate will have a count of more than 1. 

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