Forum Discussion
Bill comparison
- 7 years ago
Hi Anonymous ,
You can create new calculated table Table_UNION to union the three month table data, then create measure Filter1 in Table_UNION ,put the Filter1 into the Visual Level Filter of table visual which will display the result ,setting Filter1 as "is not blank".
Table_UNION= UNION(ADDCOLUMNS('January table',"Month","January"),ADDCOLUMNS('February table',"Month","February"),ADDCOLUMNS('March table',"Month","March"))
Filter1= IF(SUM(Table_UNION[CALL VOLUME])=BLANK(),1,BLANK())
Best Regards,
Amy
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Hi Amy,
Thanks for your reply.
This is the kind of spreadsheet i'm working with. It's got three tabs as an example - one for March, one for February and one for January.
On this one, the phone numbers (column A which is called Service no) are the same on each tab but not on the same row.
Unfortunately my organisation has blocked sharing OneDrive docs to external users, but here are some screenshots. If an email copy is easier, pm me an email address to send it to and I can do that.
Thanks so much for your help :)
How do you want the result visualized?
- Anonymous7 years agoNot applicable
My end goal is to be able to see which numbers have 0 in call volume for 3 months. So i'm open to anything that'll give me that really.
Thank you
- tex6287 years agoCommunity Champion
Does each page in the excel equal the total volume for that month?
- v-xicai7 years agoCommunity Support
Hi Anonymous ,
You can create new calculated table Table_UNION to union the three month table data, then create measure Filter1 in Table_UNION ,put the Filter1 into the Visual Level Filter of table visual which will display the result ,setting Filter1 as "is not blank".
Table_UNION= UNION(ADDCOLUMNS('January table',"Month","January"),ADDCOLUMNS('February table',"Month","February"),ADDCOLUMNS('March table',"Month","March"))
Filter1= IF(SUM(Table_UNION[CALL VOLUME])=BLANK(),1,BLANK())
Best Regards,
Amy
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.