where the first column (dimension) has evenly distributed timestamp values. The aim is to compare two scenarios.
Let scenario A be composed by the data in rows ts3 and ts4.
Then, scenario B would consist in relocating data1 associated with ts3 and ts4 to timestamps ts1 and ts2. Therefore:
Scenario A
Scenario B
time_interval
ts4-ts3
ts2-ts1 (=ts4-ts3)
sum(data1)
c+d
c+d
sum(data2)
1+2
1+1
sum(data1*data2)
c*1+d*2
c*1+d*1
I have an input box where the user specifies the new time start for scenario B as a variable. Then, I am using set analysis to associate data1 from scenario A to the corresponding timestamps in scenario B and everything is working fine.
The problem comes with data2 and, consequently, with data1*data2, since data2 values may not be equal from scenario A to scenario B. (In the example above, data1=c keeps being associated with data2=1, but for data1=d, data2 assumes value "1" and no longer "2").
I have tried to overcome this issue by using variables/set analysis, but I have not succeeded yet.
Have you any idea for a possible solution? Is there any function (like match/index/...) that can be useful?
