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Anonymous
Not applicable

Counting customer hierarchies spend in material categories

Hi

 

I have got three tables customer , measure table, material. task is to count customer hierarchies  spend in customer table (in different Material categories in Material tables. even though their is no direct connection.

 

  customer table                measure table           material table

customer No    ------>     customer no             Material Categories

Customer Name                 Material no  ------->Material no

customer Hierarcy              spend                        material name.

please help

 

 

2 ACCEPTED SOLUTIONS
amitchandak
Super User
Super User

@Anonymous , As measure table is Fact

we should be able to have a visual

customer Hierarchy, Material Categories and sum of spend
Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.

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View solution in original post

Anonymous
Not applicable

Hi @Anonymous ,

 

I create a sample to have a test.

Customer Table:

2.png

Measure Table:

3.png

Material Table:

4.png

Relationship:

1.png

Try this code:

Distinct Count = 
VAR _ADD =
    ADDCOLUMNS (
        'Measure',
        "Customer Hierarcy", RELATED ( Customer[Customer Hierarcy] ),
        "Material Categories", RELATED ( Material[Material Categories] )
    )
VAR _SUMMARIZE =
    SUMMARIZE ( _ADD, [Material Categories], [Customer Hierarcy] )
RETURN
    COUNTAX ( _SUMMARIZE, [Customer Hierarcy] )

Result is as below.

1.png

Best Regards,
Rico Zhou

 

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

2 REPLIES 2
Anonymous
Not applicable

Hi @Anonymous ,

 

I create a sample to have a test.

Customer Table:

2.png

Measure Table:

3.png

Material Table:

4.png

Relationship:

1.png

Try this code:

Distinct Count = 
VAR _ADD =
    ADDCOLUMNS (
        'Measure',
        "Customer Hierarcy", RELATED ( Customer[Customer Hierarcy] ),
        "Material Categories", RELATED ( Material[Material Categories] )
    )
VAR _SUMMARIZE =
    SUMMARIZE ( _ADD, [Material Categories], [Customer Hierarcy] )
RETURN
    COUNTAX ( _SUMMARIZE, [Customer Hierarcy] )

Result is as below.

1.png

Best Regards,
Rico Zhou

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

amitchandak
Super User
Super User

@Anonymous , As measure table is Fact

we should be able to have a visual

customer Hierarchy, Material Categories and sum of spend
Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.

Share with Power BI Enthusiasts: Full Power BI Video (20 Hours) YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube

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