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Hi, I have two tables:
Table 1 is a list of transactions with many columns EG "AuditTrail" , "£", "Nominal Account" etc
Table 2 is derived from a number of project files and essentially allocates audit trail transactions against different projects, for simplicity it has two columns "UniqueProjectCostRef" & "AuditTrail"
The aim is to analyse the "AuditTrail" transactions that are not matched against a "UniqueProjectCostRef".
In PowerQuery I can merge Table 2 into Table 1, expand the "UniqueProjectCostRef" then in my PowerBi Matrix filter by null. But I want to avoid unnecessary merges
So Far I have:
Created a relationship between the two tables using the "AuditTrail" columns.
Created a matrix visualisation with 2 rows(Table1[AuditTrail]), (Table2[UniqueProjectCostRef]), and 1 value (Table1[£])
On the (Table2[UniqueProjectCostRef]) row I have selected "Show items with no data"
This creates a table with 50,000 audit trail transactions matched relevant unique cost code & that shows blanks where not matched - how do I filter this to only show the gaps?
Solved! Go to Solution.
@Account6910 , You can use anti join in power query
https://docs.microsoft.com/en-us/power-query/merge-queries-left-anti
Except - https://powerbidocs.com/2020/11/10/except-dax-function-in-power-bi/
Check isblank and common dimension.
Just have the same period data and use the lost formula
@Account6910 , You can use anti join in power query
https://docs.microsoft.com/en-us/power-query/merge-queries-left-anti
Except - https://powerbidocs.com/2020/11/10/except-dax-function-in-power-bi/
Check isblank and common dimension.
Just have the same period data and use the lost formula