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Anonymous
Not applicable

How to ignore dimension only for LY measures?

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:

  •  Revenue for FY 2021 should be displayed.
  • The Type for FY 2021 should be displayed.
  • I have one LY measure on revenue that should display values under type from FY2021, not FY2020!

 

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?)

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi  @Anonymous ,

I created some data:

Date Table:

vyangliumsft_0-1631501299161.png

Here are the steps you can follow:

1. Create calculated column.

Year = YEAR('Date'[date])

2. Connect the two tables

vyangliumsft_1-1631501299165.png

3. Create measure.

Measure =
var _select=SELECTEDVALUE('ClientType table'[FY])
return
CALCULATE(SUM('Date'[Revenue]),FILTER(ALL('Date'),
'Date'[Year]=_select
))

4. Result:

vyangliumsft_2-1631501299167.png

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

 

View solution in original post

1 REPLY 1
Anonymous
Not applicable

Hi  @Anonymous ,

I created some data:

Date Table:

vyangliumsft_0-1631501299161.png

Here are the steps you can follow:

1. Create calculated column.

Year = YEAR('Date'[date])

2. Connect the two tables

vyangliumsft_1-1631501299165.png

3. Create measure.

Measure =
var _select=SELECTEDVALUE('ClientType table'[FY])
return
CALCULATE(SUM('Date'[Revenue]),FILTER(ALL('Date'),
'Date'[Year]=_select
))

4. Result:

vyangliumsft_2-1631501299167.png

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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