regarding if and statement use

[sumansparsh]

How many times I can use and condition when I like to tag something.

for example:-

these are datasets follows:-

data lowl_high;
input loanid $ Gender$ Married$ Depender Education$ Self_employed$ Applicantincome Coapplicantincome Loanamount Loan_amount_term Credit_history Propertyarea$ ;
datalines;
LP001011 male Yes 0 Graduate No 5720 0 110 360 1 Urban
LP001012 female Yes 1 Graduate No 5730 0 112 372 2 SemiUrban
LP001013 female No 2 NonGraduate Yes 5740 1 114 380 3 Urban
LP001014 male No 0 Graduate No 5750 1 115 390 2 Semiurban
LP001015 female Yes 1 NonGraduate Yes 5760 0 116 400 1 Semiurban
LP001016 male No 0 Graduate Yes 5770 2 117 410 0 Urban
LP001017 female Yes 1 Graduate No 5780 1 118 420 1 Semiurban

but I am facing problem regarding this query:-

data Important9;
set Lowl_high;
Length Tag $15;
if Gender="female" and Married="Yes" and Education="Graduate" then Tag="High";
Else Tag="Low";
Run;

kindly help

[novinosrin]

what is the problem? Please help understand the problem

[sumansparsh]

data Important9;
set Lowl_high;
Length Tag $15;
if Gender="female" and Married="Yes" and Education="Graduate" then Tag="High";
Else Tag="Low";
Run;
I can not get the result after run this syntax
actually I want to get result by three condition by using add,but I failed to do so

[novinosrin · Accepted solution]

I ran your code. It seems to work fine. Below is the log:

3178 data lowl_high;
3179 input loanid $ Gender$ Married$ Depender Education$ Self_employed$
3179! Applicantincome Coapplicantincome Loanamount Loan_amount_term
3179! Credit_history Propertyarea$ ;
3180 datalines;

NOTE: The data set WORK.LOWL_HIGH has 7 observations and 12 variables.
NOTE: DATA statement used (Total process time):
real time 0.01 seconds
cpu time 0.00 seconds

3188 ;
3189 data Important9;
3190 set Lowl_high;
3191 Length Tag $15;
3192 if Gender="female" and Married="Yes" and Education="Graduate" then
3192! Tag="High";
3193 Else Tag="Low";
3194 Run;

NOTE: There were 7 observations read from the data set WORK.LOWL_HIGH.
NOTE: The data set WORK.IMPORTANT9 has 7 observations and 13 variables.
NOTE: DATA statement used (Total process time):
real time 0.00 seconds
cpu time 0.00 seconds

Results:/*is this your expected result?*/

loanid	Gender	Married	Depender	Education	Self_employed	Applicantincome	Coapplicantincome	Loanamount	Loan_amount_term	Credit_history	Propertyarea	Tag
LP001011	male	Yes	0	Graduate	No	5720	0	110	360	1	Urban	Low
LP001012	female	Yes	1	Graduate	No	5730	0	112	372	2	SemiUrba	High
LP001013	female	No	2	NonGradu	Yes	5740	1	114	380	3	Urban	Low
LP001014	male	No	0	Graduate	No	5750	1	115	390	2	Semiurba	Low
LP001015	female	Yes	1	NonGradu	Yes	5760	0	116	400	1	Semiurba	Low
LP001016	male	No	0	Graduate	Yes	5770	2	117	410	0	Urban	Low
LP001017	female	Yes	1	Graduate	No	5780	1	118	420	1	Semiurba	High

[sumansparsh]

Thank you so much