cancel
Showing results for
Did you mean:

Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started

New Member

## Filtering a Matrix Visualization table

Ok so I have the following table extract:

 Opp# PAV BU 4166016 7520 PRD 4166016 8900 VRF 4174889 14200 VRF 4177720 1655 PRD

And I want the following output for the matrix table below:.

 Opp# VRF PRD 4166016 8900 7520

I don't want to display an Opp# where they have a value only for VRF or PRD. The Opp# must have a value for both.

This is DAX i used but I still keep getting OP#s in the table that have blank values for either PRD or VRF

FilteredTable2 =

FILTER(
'tablename',
NOT(ISBLANK('tablename'[Strategy] = "PRD")) &&
NOT(ISBLANK('tablename'[Strategy] = "VRF")) &&
COUNTROWS(
FILTER(
'tablename',
'tablename'[Opp#] = EARLIER('tablename'[Opp#])
)
) == 1

)
1 ACCEPTED SOLUTION

It seems like you're trying to filter your table to only include rows where an Opp# has both "PRD" and "VRF" values. Based on your description, here's how you can approach this in DAX:

```dax
FilteredTable2 =
FILTER(
SUMMARIZE('tablename', 'tablename'[Opp#], "VRF", CALCULATE(MAX('tablename'[PAV]), 'tablename'[BU] = "VRF"), "PRD", CALCULATE(MAX('tablename'[PAV]), 'tablename'[BU] = "PRD")),
NOT(ISBLANK([VRF])) && NOT(ISBLANK([PRD]))
)
```

### Explanation:

1. **SUMMARIZE Function**: This function creates a summary table that groups by 'Opp#' and calculates the maximum 'PAV' for both "VRF" and "PRD".

2. **CALCULATE Function**: Inside the SUMMARIZE function, CALCULATE is used with MAX to find the maximum 'PAV' where 'BU' (Business Unit) equals "VRF" or "PRD".

3. **NOT(ISBLANK())**: This condition ensures that both "VRF" and "PRD" columns are not blank.

4. **FILTER Function**: Filters the summarized table to include only rows where both "VRF" and "PRD" are not blank.

### Notes:

- Replace `'tablename'` with the actual name of your table.
- `'PAV'`, `'BU'`, `'Opp#'` are assumed column names based on your provided example. Adjust these column names if they differ in your actual dataset.
- This approach ensures that only Opp#s with both "VRF" and "PRD" values are included in your final filtered table.

Make sure to adjust column names and table references according to your actual data model. This DAX expression should give you the desired output where only Opp#s with both "VRF" and "PRD" values are displayed in the matrix table.

2 REPLIES 2

It seems like you're trying to filter your table to only include rows where an Opp# has both "PRD" and "VRF" values. Based on your description, here's how you can approach this in DAX:

```dax
FilteredTable2 =
FILTER(
SUMMARIZE('tablename', 'tablename'[Opp#], "VRF", CALCULATE(MAX('tablename'[PAV]), 'tablename'[BU] = "VRF"), "PRD", CALCULATE(MAX('tablename'[PAV]), 'tablename'[BU] = "PRD")),
NOT(ISBLANK([VRF])) && NOT(ISBLANK([PRD]))
)
```

### Explanation:

1. **SUMMARIZE Function**: This function creates a summary table that groups by 'Opp#' and calculates the maximum 'PAV' for both "VRF" and "PRD".

2. **CALCULATE Function**: Inside the SUMMARIZE function, CALCULATE is used with MAX to find the maximum 'PAV' where 'BU' (Business Unit) equals "VRF" or "PRD".

3. **NOT(ISBLANK())**: This condition ensures that both "VRF" and "PRD" columns are not blank.

4. **FILTER Function**: Filters the summarized table to include only rows where both "VRF" and "PRD" are not blank.

### Notes:

- Replace `'tablename'` with the actual name of your table.
- `'PAV'`, `'BU'`, `'Opp#'` are assumed column names based on your provided example. Adjust these column names if they differ in your actual dataset.
- This approach ensures that only Opp#s with both "VRF" and "PRD" values are included in your final filtered table.

Make sure to adjust column names and table references according to your actual data model. This DAX expression should give you the desired output where only Opp#s with both "VRF" and "PRD" values are displayed in the matrix table.

New Member

Thanks Pavan. Solution works. Just needed to change MAX to SUM but this really helped me out. Thanks again for taking the time to review this.