comparing two datasets and subtracting results

[pacman94]

I have two datasets. One old and one new...if there are new increase in numbers  for selected columns (i.e. Enrolled and Events), I would like to display "(+<Number>).

old export: Dataset_a

Group	Screened	Enrolled	Events
ABC	40	21	3
DEF	24	21	4
GHI	55	41	5
JKL	24	2	6
MNO	42	23	8

new export: Dataset_b

Group	Screened	Enrolled	Events
ABC	89	33	13
DEF	56	43	4
GHI	88	45	22
JKL	67	23	34
MNO	68	23	23

Want:

Group	Screened	Enrolled	Events
ABC	89	33 (+12)	13 (+10)
DEF	56	43 (+22)	4
GHI	88	45 (+4)	22 (+17)
JKL	67	23 (+21)	34 (+28)
MNO	68	23	23 (+15)

I have merged two datasets and used subtraction with concentrate character so was wondering if this is quick solution

[ballardw]

Show us, code, how you "merged" the two data sets.

And why are these named "export" if that has any bearing on the actual problem.

A general comment: having two values in a single variable such as that 33 (+12) almost always means extra work for very little gain over having two variables, such as Enrolled with a value of 33 and EnrollmentChange or similar name with a value of 12.

Please provide example data in the form of data step code.

This is what I would do if this were my project:

data dataset_a;
   input Group $	Screened	Enrolled	Events;
datalines;
ABC	40	21	3
DEF	24	21	4
GHI	55	41	5
JKL	24	2	6
MNO	42	23	8
;

data dataset_b;
   input Group $	Screened	Enrolled	Events;
datalines;
ABC	89	33	13
DEF	56	43	4
GHI	88	45	22
JKL	67	23	34
MNO	68	23	23
;

/* sort both sets by Group variable if not in order*/

data want;
   merge dataset_a (rename=(enrolled=enr1 events=event1) )
         dataset_b 
   ;
   by group;
   enrollchange= enrolled-enr1;
   eventchange = events - event1;
   drop enr1 event1;
run;

Why? Because someone may want statistics on the changes such a maximim, minimum, mean or similar that can't be done with values that would have to be character such as 33 (+12). Just finding which of groups had the largest/smallest change with that character value would be an exercise in parsing the data back to a change value to compare them.