Split calcutated keyfigures itnto two columns depending on their value

Hi everybody
I have the following request:
During runtime of a query I calculate the difference between two values (keyfigures). In another column I should show the sum of those differences if they are lower than X (lets say lower thant 2) and in a third column the sum of those values if they are greater than X (lets say greater equal 2). But and this is important I only have to show the overall sum of it. There is no possibility to show every single entry of the data as it is over a million records.
01: type
02: contract
03: sum1
04: sum2
05: difference between sum1 and sum2
06: differences ge 2
07: differences lt 2
Example Data:
01 * 02.* 03 * 04
A   *   1 *   20 * 19
A   *   2 *    50 *   48
A *    3 *   10   *   6
B   *   4 *     9 *     7
B   *   5   * 25 *   24
so for type A the differences are 1, 2 and 4 and for type B the differences are 2 and 1. So in the result lne I should have for A a columne that shows 1 for the difference lower than 2 and in the other column 6 for the two differences that are greater than 2 etc.
what the report should show:
001    003 004 005 006 007
A   *   80 * 73 * 7 * 6 * 1
B   * 34 * 31 * 3 * 2 * 1
How can I realise this splitting of the calculated keyfigure into two columns? The X is a Variable on the selection screen so the user can select how he wants the values to be splitted.
Can I get the keyfigures to behave like this or do I have to do the calculations already during the dataload and save the difference as an infoobject and use it as characteristic in the query? I would like to avoid this if possible.
Thanks for your ideas and help!
Have a great day
best regards
Christophe

Hi,
Yes ofcourse you will get this in query designer
suppose i have data like
salary
10
20
30
40
50
now i want to split this into 2 coloumns like >25 into one column <25 into another column
first salary
10
20
30
second salary
40
50
in first column take (salary < 25)*salary
in second column take (salary > 25)*salary
why we are multiplying means > value gives 1 if it is ok and 0 if it not ok in order to get data we multiply with salary.
goto query properties suppress zeroes.
Assign points if it helps,
thanka,
pavan.

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