Measure to count distinct number of ids where two other measure are not equal

[Anonymous]

I have a history table with that pulls a view of a database at the beginning of every month and assigns a date to the rows associated with that pull (I made a brief summary below, there are many more fields in the table)

productId                Status                         ViewDate

      1                         active                          5/1/2019

      1                         active                          6/1/2019

      1                         inactive                       7/1/2019

      2                         active                          5/1/2019

      2                         hold                            6/1/2019

      2                         hold                            7/1/2019

I have two slicers linked to disconnected tables that each contain distinct values from the viewdate field (ViewDateStart and ViewDateEnd)

And the following two measures to pull the starting status and the ending status for each product based on user selection:

statusStart = CALCULATE(MAX(table[status],

                             FILTER(table, table[ViewDate]=SELECTEDVALUE(ViewDateStart[ViewDate])

statusEnd = CALCULATE(MAX(table[status],

                             FILTER(table, table[ViewDate]=SELECTEDVALUE(ViewDateEnd[ViewDate])

When I place the measures above in a table with the products as the dimension I get the correct starting and ending status for each product based on slicer selections

I need to create a measure that calculates the number of distinct products where statusStart <> statusEnd

I have tried the following but I think I am missing a grouping step as this is flagging every product ID not just those with status changes based on slicer selections

StatusChangeCount = CALCULATE(DISTINCTCOUNT(table[productId]), FILTER(table, [statusStart] <> [statusEnd]))

Is there a way to do this in Power BI?

[v-lili6-msft · Accepted solution]

hi, @Anonymous 

You may try this way:

Add a measure like this:

measure = IF([statusStart]<>[statusEnd],1,0)

Then SUM this measure value by group.

Combine these two steps by this formula

changecounta = SUMX(SUMMARIZE('table','table'[productId]) , IF([statusStart]<>[statusEnd],1,0) )

If you have problem for the measure total, please refer to these two posts:

https://community.powerbi.com/t5/DAX-Commands-and-Tips/Dealing-with-Measure-Totals/td-p/63376

https://community.powerbi.com/t5/Quick-Measures-Gallery/Measure-Totals-The-Final-Word/m-p/547907

And if not your problem, please share your sample pbix file and expected output.

Best Regards,

lin