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Anonymous
Not applicable

Count a value as 1 when both date from different columns not null

Hi,

I'm cretaing a conditional measure that count events from two diffrent columns that are related by a key .

the date slicer is coming from a relationship table .

I want to count them 1 when both date together exist in the time range from the date slicer .

if only one leg exist then count them as 0  .events are related .

how do you create such measure including userelationship() to the date table 

Thank you 

1 ACCEPTED SOLUTION
amitchandak
Super User
Super User

@Anonymous ,
Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.

 

I may use an independent date table and check both are in range.

 

Even if one joined I can force between on another date

 

//Date 1 joined with and active , pushing filter to date 2
new measure =
var _max = maxx(allselected(Date),Date[Date])
var _min = mainx(allselected(Date),Date[Date])
return
calculate( sum(Table[Value]), filter('Table', 'Table'[Date2] >=_min && 'Table'[Date2] <=_max))

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2 REPLIES 2
Anonymous
Not applicable

Thank you ! The only diffrence I used CountAX instead of SUM()

amitchandak
Super User
Super User

@Anonymous ,
Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.

 

I may use an independent date table and check both are in range.

 

Even if one joined I can force between on another date

 

//Date 1 joined with and active , pushing filter to date 2
new measure =
var _max = maxx(allselected(Date),Date[Date])
var _min = mainx(allselected(Date),Date[Date])
return
calculate( sum(Table[Value]), filter('Table', 'Table'[Date2] >=_min && 'Table'[Date2] <=_max))

Full Power BI Video 20 Hours YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube

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