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Technical Report #10:
Counting  Missing Values for Any Variable

Bruce Ratner, Ph.D.

The problem of missing values is well known to data analysts. And, it is always important to have a count of the missing values for variables under consideration.
The SAS-code program, below,  provides a quick way to determine the missingness for either a numeric or character variable of concern.

DATA IN;
input ID 2. GENDER $1. AGE 2.;
cards;
01M25
02M35
03M
04
05F54
08F53
07F
08 54
09 S
10MD

RUN:
 
DATA OUT:
set IN END=END;
if MISSING(GENDER) then NO_OF_MISSSING_VALUES_GENDER + 1;
if MISSING(AGE) then NO_OF_MISSSING_VALUES_AGE + 1;
if end then output;
keep NO_OF_MISSSING_VALUES_gender NO_OF_MISSSING_VALUES_AGE;
RUN;

PROC PRINT DATA=OUT NOOBS;
RUN;



For more information about this article, call Bruce Ratner at 516.791.3544,
1 800 DM STAT-1, or e-mail at br@dmstat1.com.