Filtering which includes Blanks on Bitemporal Tables

Hello postvijay 

Use calculated column

IsInSelectedRange =

VAR SelectedFrom = MIN('DateTable'[Date])

VAR SelectedTo = MAX('DateTable'[Date])

RETURN

IF(

    AND(

        'Table'[From Date] <= SelectedTo,

        'Table'[To Date] >= SelectedFrom

    ),

    1, 0

)

Thanks,
 Pankaj Namekar | LinkedIn

If this solution helps, please accept it and give a kudos (Like), it would be greatly appreciated.

Hi postvijay ,

I think you're working with a bitemporal model in Power BI and aiming to simplify user interactions without losing date-valid accuracy — a common challenge when handling time-bound records across multiple tables.

For Issue 1:

1. Create a 'Date Filter' table like this:
   

   • DateFilter = 
     CALENDAR ( DATE(2020, 1, 1), DATE(2030, 12, 31) )

2. Then, in each of your bitemporal tables (e.g., TableA, TableB, etc.), create a calculated column like:
3. Now, instead of filtering visuals one-by-one, create a composite table or model where you use a FILTER over only IsInRange = 1.
4. To avoid writing filters on each visual, you can create calculated tables that only include valid rows:

   • ValidTableA = 
     FILTER (
     TableA,
     TableA[IsInRange] = 1
     )

   • Then use ValidTableA in your visuals instead of raw TableA.

This way, the filter context is centralized via the slicer, and visuals stay clean.

For Issue 2: 
Use Left Joins + Default/Placeholder Records

Power BI doesn’t have native SQL-like joins for relationships, but we can simulate this in DAX using LOOKUPVALUE, TREATAS, or LEFT JOIN-style merging in Power Query.

We can do this with 2 Approaches:

Option A: Use LOOKUPVALUE with a Fallback

In your main table, when referencing other tables:

Attribute_n_From_B = 
LOOKUPVALUE (
TableB[Attribute_n],
TableB[ID], TableA[ID],
TableB[IsInRange], 1
)

And use IF(ISBLANK(...), "No Match", ...) to prevent full row blanks.

Option B: Power Query Merge with Placeholder Row

In Power Query:

1. Create a row in each table with ID = -1, FromDate = 1900-01-01, ToDate = 9999-12-31, and all columns set to "Unknown" or null.
2. When merging tables, always do a Left Outer Join and fallback to this row if there’s no match:
   • This prevents matrix visuals from going fully blank when one side lacks data for a given date.

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Hi postvijay 
In addition to the GrowthNatives pankajnamekar25 Please check the below point to resolve your issue.

• Use ISBLANK() in DAX filters instead of = BLANK() or <> BLANK() to accurately detect blank values.

• Create calculated columns to replace blank values with descriptive labels (e.g., "No Date" or "Not Applicable").

• Format dates in calculated columns to make visuals clearer, such as using FORMAT([Date], "dd-mm-yyyy").

• Enable the "Show items with no data" option in visuals to ensure all categories appear, even those without associated data.

• Use ALLNOBLANKROW() in DAX instead of ALL() to prevent unintended blank rows caused by table relationships.

• Include a complete date table in your model to cover all date ranges in ‘From Date’ and ‘To Date’ columns for consistent filtering.

If the above information helps you, please give us a Kudos and marked the Accept as a solution.
Best Regards,
Community Support Team _ C Srikanth.

Hi postvijay 
Sorry for the late response.

To handle filtering blanks on bitemporal tables in Power BI, especially when using date ranges across multiple tables with ValidFrom and ValidTo columns, you can follow this approach:

1. Create a separate date filter table using the CALENDAR function, for example:
   DateFilter = CALENDAR(DATE(2020, 1, 1), DATE(2030, 12, 31))
2. In each of your bitemporal tables (e.g., TableA, TableB), create a calculated column to check if a row is in the selected date range:
   IsInRange =
   VAR SelectedStartDate = MIN('DateFilter'[Date])
   VAR SelectedEndDate = MAX('DateFilter'[Date])
   RETURN
   IF(
   [ValidFrom] <= SelectedEndDate &&
   (ISBLANK([ValidTo]) || [ValidTo] >= SelectedStartDate),
   1,
   0
   )
3. This logic includes rows where ValidTo is blank (interpreted as "still valid").

In your visuals or filters, include only the rows where IsInRange = 1.

This method allows you to control date-range filtering even when some of your validity periods are open-ended (i.e., have blank ValidTo values), without breaking the logic in visuals or relationships.

If the above information is helpful, please give us Kudos and mark the response as Accepted as solution.
Best Regards,
Community Support Team _ C Srikanth.

Hi postvijay 

I wanted to follow up since I haven't heard from you in a while. Have you had a chance to try the suggested solutions?
If your issue is resolved, please consider marking the post as solved. However, if you're still facing challenges, feel free to share the details, and we'll be happy to assist you further.
Looking forward to your response!

Best Regards,
Community Support Team _ C Srikanth.

Hi postvijay 

We haven't heard from you since last response and just wanted to check whether the solution provided has worked for you. If yes, please Accept as Solution to help others benefit in the community.
Thank you.

If the above information is helpful, please give us Kudos and mark the response as Accepted as solution.
Best Regards,
Community Support Team _ C Srikanth.

Hi postvijay 

We haven't heard from you since last response and just wanted to check whether the solution provided has worked for you. If yes, please Accept as Solution to help others benefit in the community.
Thank you.

If the above information is helpful, please give us Kudos and mark the response as Accepted as solution.
Best Regards,
Community Support Team _ C Srikanth.

Thanks Srikanth, 
i will try the current and historic date combination as per suggeston using direct query and import mode.
Falttening of data is not an option as all tables are having historic date range and each associated with atleast 60000 and few tables already have million rows. 
e.g. 2009 to today for few rows like 20147 to today() - 

Hi postvijay 
Thanks for confirming that using the direct query and import mode will resolve your issue.

If your issue is resolved, please consider marking the post as solved. However, if you're still facing challenges, feel free to share the details, and we'll be happy to assist you further.
Looking forward to your response!

Best Regards,
Community Support Team _ C Srikanth.