Hi, I have a summarized dataset which conatins 6 different products by their monthly sales. These 6 products belong to two different groups. ABC is group 1 and DEF belong to group2. It looks like this.
Name | Month1 | Month2 | Month3 |
A | 10 | 10 | 10 |
B | 20 | 20 | 40 |
C | 40 | 30 | 20 |
D | 30 | 40 | 60 |
E | 10 | 50 | 50 |
F | 20 | 60 | 30 |
I need to add rows to the data which sum up sales of all products in that group. It should look like this:
Name | Month1 | Month2 | Month3 |
A | 10 | 10 | 10 |
B | 20 | 20 | 40 |
C | 40 | 30 | 20 |
SUM_ABC | 70 | 60 | 70 |
D | 30 | 40 | 60 |
E | 10 | 50 | 50 |
F | 20 | 60 | 30 |
SUM_DEF | 60 | 150 | 140 |
Could anyone please tell me how should it be done? Thank you.
Assumption made : Groups are pre-existing.
data have;
length name $10.;
input Grp $ Name $ Month1 Month2 Month3;
cards;
1 A 10 10 10
1 B 20 20 40
1 C 40 30 20
2 D 30 40 60
2 E 10 50 50
2 F 20 60 30
;
run;
data temp(rename=(Month1_=Month1 Month2_=Month2 Month3_=Month3 name_=name));
length name_ $10.;
Month1_=0;
Month2_=0;
Month3_=0;
name_=' ';
do until(last.grp);
set have;
by grp;
Month1_=sum(Month1_,Month1);
Month2_=sum(Month2_,Month2);
Month3_=sum(Month3_,Month3);
name_=cats(name_,name);
end;
name_=cats("SUM_",NAME_);
drop Month1 Month2 Month3 name;
run;
data want;
set have temp;
by grp;
drop grp;
run;
Here's a better, more flexible goal. Add a fifth variable, GROUP, that will be 1 when NAME is A, B, or C. GROUP will be 2 when NAME is D, E, or F.
This will easily let you create the report you want, and adds to your data the relationship between a NAME and a GROUP.
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