I am trying to sum a metric (AllCost) by three different variables, Age, Study Type, and Year.
So the final table would look something like this.
Study | Model Year | Age | All Cost Total |
Study1 | 2015 | 0 | 2,551 |
Study1 | 2015 | 30 | 2,659 |
Study1 | 2015 | 60 | 1,444 |
Study2 | 2015 | 0 | 2,495 |
Study2 | 2015 | 30 | 2,341 |
Study2 | 2015 | 60 | 1,535 |
Study3 | 2015 | 0 | 1,472 |
Study3 | 2015 | 30 | 2,514 |
Study3 | 2015 | 60 | 1,567 |
Study1 | 2014 | 0 | 2,756 |
Study1 | 2014 | 30 | 1,887 |
Study1 | 2014 | 60 | 2,453 |
Study2 | 2014 | 0 | 2,358 |
Study2 | 2014 | 30 | 2,255 |
Study2 | 2014 | 60 | 1,741 |
Study3 | 2014 | 0 | 1,318 |
Study3 | 2014 | 30 | 2,623 |
Study3 | 2014 | 60 | 1,300 |
proc sql ;
create table work.temp002 as select
distinct
a.study,
a.model_year,
a.Claims,
sum(AllCost) as AllCostTotal
from work.temp001 a
where Age in(0:10000)
group by a.Age and a.Study and a.model_year;
quit; run;
The output I am getting: AllCostTotal is the same number for all studies and years and changes when age changes from 0 to 60, etc.
Anything you guys can do to help would be greatly appreciated.
Best,
JKeags23
EDIT: Sample Data
Study | Year | AllCost | Age |
Study1 | 2015 | 4732 | 0 |
Study1 | 2015 | 3306 | 30 |
Study1 | 2015 | 2886 | 60 |
Study1 | 2015 | 3244 | 90 |
Study1 | 2015 | 2845 | 0 |
Study1 | 2015 | 2657 | 30 |
Study1 | 2015 | 2378 | 60 |
Study1 | 2015 | 1226 | 90 |
Study2 | 2015 | 2497 | 0 |
Study2 | 2015 | 2025 | 30 |
Study2 | 2015 | 4785 | 60 |
Study2 | 2015 | 1767 | 90 |
Study3 | 2015 | 1714 | 0 |
Study3 | 2015 | 1835 | 30 |
Study3 | 2015 | 1122 | 60 |
Study3 | 2015 | 2782 | 90 |
Study2 | 2015 | 3831 | 30 |
Study3 | 2015 | 1627 | 0 |
Study3 | 2015 | 2448 | 30 |
Study3 | 2015 | 4790 | 60 |
Study3 | 2015 | 2131 | 90 |
Study1 | 2015 | 4781 | 0 |
Study1 | 2015 | 1055 | 30 |
Study1 | 2015 | 3156 | 60 |
Study1 | 2015 | 3299 | 90 |
Study1 | 2014 | 4174 | 0 |
Study1 | 2014 | 3755 | 30 |
Study1 | 2014 | 1687 | 60 |
Study1 | 2014 | 2434 | 90 |
Study1 | 2014 | 2948 | 0 |
Study1 | 2014 | 1366 | 30 |
Study1 | 2014 | 3946 | 60 |
Study1 | 2014 | 4527 | 90 |
Study2 | 2014 | 2096 | 0 |
Study2 | 2014 | 1880 | 30 |
Study2 | 2014 | 3142 | 60 |
Study2 | 2014 | 3769 | 90 |
Study3 | 2014 | 1674 | 0 |
Study3 | 2014 | 1556 | 30 |
Study3 | 2014 | 3745 | 60 |
Study3 | 2014 | 4311 | 90 |
Study2 | 2014 | 4116 | 60 |
Study2 | 2014 | 3755 | 90 |
Study3 | 2014 | 1514 | 0 |
Study3 | 2014 | 4040 | 30 |
Study3 | 2014 | 1963 | 60 |
Study3 | 2014 | 3005 | 90 |
Study3 | 2014 | 1117 | 0 |
Study1 | 2014 | 3201 | 30 |
Study1 | 2014 | 2690 | 60 |
Study1 | 2014 | 2188 | 90 |
What happens if you change
group by a.Age and a.Study and a.model_year
to
group by a.Age , a.Study , a.model_year
The 'And' as you are using it creates a boolean evaluation for the three variables and since they are all likely not to equal 0 (false) you only get one result: true so there is only one group.
If possible, can you add a sample data of what you have, then it would be easy for someone to help.
What happens if you change
group by a.Age and a.Study and a.model_year
to
group by a.Age , a.Study , a.model_year
The 'And' as you are using it creates a boolean evaluation for the three variables and since they are all likely not to equal 0 (false) you only get one result: true so there is only one group.
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