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Sum With Particular Products

Hi Experts

I am Using a Pivot Table

in that I want to sum the sales for  particular [Product code] ones only,

How can I do it

Currently i used this but not yielding any results

sum(if([Product Code]= '155','156','157',158','159','160','161','162','163','164','165','166','167','168','169','170','171','172','173','174','176', Sales))

Please Suggest

Labels (1)
1 Solution

Accepted Solutions
PrashantSangle
MVP
MVP

Hi,

Or you can try in set analysis like

sum({<[Product Code]={'155','156','157',158','159','160','161','162','163','164','165','166','167','168','169','170','171','172','173','174','176'}>}Sales)

Regards

Great dreamer's dreams never fulfilled, they are always transcended.
Please appreciate our Qlik community members by giving Kudos for sharing their time for your query. If your query is answered, please mark the topic as resolved 🙂

View solution in original post

4 Replies
PrashantSangle
MVP
MVP

Try

sum(if(Wildmatch([Product Code], '155','156','157',158','159','160','161','162','163','164','165','166','167','168','169','170','171','172','173','174','176'), Sales))

regards

Great dreamer's dreams never fulfilled, they are always transcended.
Please appreciate our Qlik community members by giving Kudos for sharing their time for your query. If your query is answered, please mark the topic as resolved 🙂
ankit777
Specialist
Specialist

You can use pick match

PrashantSangle
MVP
MVP

Hi,

Or you can try in set analysis like

sum({<[Product Code]={'155','156','157',158','159','160','161','162','163','164','165','166','167','168','169','170','171','172','173','174','176'}>}Sales)

Regards

Great dreamer's dreams never fulfilled, they are always transcended.
Please appreciate our Qlik community members by giving Kudos for sharing their time for your query. If your query is answered, please mark the topic as resolved 🙂
Kushal_Chawda
MVP
MVP

try to use set analysis

sum({<[Product Code]= {'155','156','157',158','159','160','161','162','163','164','165','166','167','168','169','170','171','172','173','174','176'}>}Sales)