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I am trying to build a report… I have a fact with Revenue and dimensions: Date, Client, ClientType.
ClientType table:
CustomerNo | FY | Type |
1 | 2018 | xyz |
1 | 2019 | xyzz |
1 | 2020 | xyzz |
1 | 2021 | xyzz2 |
2 | 2018 | xyz |
2 | 2019 | xyz |
2 | 2020 | xyz |
2 | 2021 | xyz2 |
For each Year, each customer has a Type.
In the report, a single-selection filter on FY will be included.
My goal is, if FY 2021 is selected:
Likewise if FY 2020 is displayed, the LY measures, shall display under the type of FY 2020.
Can the above be achieved? Can/shall I connect Date table with ClientType (even though they have different granularity?)
Solved! Go to Solution.
Hi @ovonel ,
I created some data:
Date Table:
Here are the steps you can follow:
1. Create calculated column.
Year = YEAR('Date'[date])
2. Connect the two tables
3. Create measure.
Measure =
var _select=SELECTEDVALUE('ClientType table'[FY])
return
CALCULATE(SUM('Date'[Revenue]),FILTER(ALL('Date'),
'Date'[Year]=_select
))
4. Result:
If it does not meet your expected results, can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
Hi @ovonel ,
I created some data:
Date Table:
Here are the steps you can follow:
1. Create calculated column.
Year = YEAR('Date'[date])
2. Connect the two tables
3. Create measure.
Measure =
var _select=SELECTEDVALUE('ClientType table'[FY])
return
CALCULATE(SUM('Date'[Revenue]),FILTER(ALL('Date'),
'Date'[Year]=_select
))
4. Result:
If it does not meet your expected results, can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
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