Transforming levels of one variable into other variables - sas

Question

I have a dataset that looks something like this:
IDnum State Product Consumption
123 MI A 30
123 MI B 20
123 MI C 45
456 NJ A 15
456 NJ D 10
789 MI B 60
... ... ... ...
And i would like to create a new dataset, where i have one row for each IDnum, and a new dummy variable for each different product (in my real dataset i have close to 1000 products), along with it's associated consumption. It would look like something in these lines
IDnum State Prod.A Cons.A Prod.B Cons.B Prod.C Cons.C Prod.D Cons.D
123 MI yes 30 yes 20 yes 45 no -
456 NJ yes 15 no - no - yes 10
789 MI no - yes 60 no - no -
... ... ... ... ... ... ... ... ... ...
Some variables like "State" doesn't change within the same IDnum, but each row in the original bank are equivalent to one purchase, hence the change in the "product" and "consumption" variables for the same IDnum. I would like that my new dataset showed all the consumption habits of each costumer in one single row, but so far i have failed.
Any help would be greatly apreciated.

Answer 1

Without yes/no variables, it's really easy:
data input;
length State $2 Product $1;
input IDnum State Product Consumption;
cards;
123 MI A 30
123 MI B 20
123 MI C 45
456 NJ A 15
456 NJ D 10
789 MI B 60
;
run;
proc transpose data=input out=output(drop=_NAME_) prefix=Cons_;
var Consumption;
id Product;
by IDnum State;
run;
Adding the yes/no fields:
proc sql;/* from column names or alternatively
create it from source data directly if not taking too long */
create table work.products as
select scan(name, 2, '_') as product length=1
from dictionary.columns
where libname='WORK' and memname='OUTPUT'
and upcase(name) like 'CONS_%';
quit;
filename vars temp;/* write a temp file containing variable definitions
in desired order */
data _null_;
set work.products end=last;
file vars;
length str $40;
if _N_ = 1 then put 'LENGTH ';
str = catt('Prod_', product, ' $3');
put str;
str = catt('Cons_', product, ' 8');
put str;
if last then put ';';
run;
options source2;
data output2;
length IdNum 8 State $2;
%include vars;
set output;
array prod{*} Prod_:;
array cons{*} Cons_:;
drop i;
do i=1 to dim(prod);
if coalesce(cons(i), 0) ne 0 then prod(i)='yes';
else prod(i)='no';
end;
run;