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Hi Team,
Header 1 | Feb2015 | Mar2015 | Apr2015 | May2015 |
|
| Aug2015 | |||
---|---|---|---|---|---|---|---|---|---|---|
Feb2015 | 2000 | 3000 | 4000 | 5000 | 7000 | 8000 | 21200 | |||
Mar2015 | 5000 | 3000 | 12000 | 14000 | 17000 | 76000 | ||||
Apr2015 | 200 | 1200 | 1340 | 1500 | 1234 | |||||
May2015 | 5000 | 6700 | 7600 | 8700 | ||||||
Jun2015 | 5600 | 4500 | 8700 | |||||||
Jul2015 | 12345 | 5678 | ||||||||
Aug2015 | 123456 | |||||||||
Hi,
Please post sample data so an appropriate transformation can be built.
Thanks.
Hi Gourav,
There are a few ways to handle this..
1. Create set analysis expressions for each required column:
a. First Column = sum({<Month = {'Feb2015'}>}Sales)
b. Second Column = sum({<Month = {'Mar2015'}>}Projected Sales)
2. Create a single dynamic expression:
a. Sum({<Month={"=sum(Sales)>0"}>}Sales) + sum({<Month={"=sum(Sales)=0"}>}Projected Sales)
- This will give you sum of sales for months where sales exist and projected for when there are no sales.
Hello Panipat1990,
please don't post the same question multiple times and continue this topic in your original thread Logic
where petter-sproposes a really nice solution to you. He surely deserves an answer for that.
So do all the other community members who spent their time working on Re: Logic to your questions.
hope this helps
regards
Marco