Forum Discussion
Count Blanks Table
Hi,
I have a dataset with a table containing all stores and another table with sales. Not all stores have sales. How do I count the number of stores with no sales? I have looked into the COUNTBLANK, but I don't think it can help me, given my data structure.
My dataset is like this
Table A
|Store|
Store A
Store B
Store C
Store D
Store E
Table B
|SalesID|Store|Quantity|
01 Store C 10
02 Store D 5
03 Store A 20
How do I count the number of stores with zero sales? In the example above, the answer should be 2 (Store B and E).
Any help will be highly appreciated.
/depple
If you have a measure that calculates sales.
Sales = SUM ( 'Table B'[qty] )
You can use that in a COUNTROWS measure over your stores
No Sales = CALCULATE( COUNTROWS( 'Table A' ), FILTER( 'Table A', [Sales] = 0 ) )
4 Replies
- jdbuchanan71Super User
If you have a measure that calculates sales.
Sales = SUM ( 'Table B'[qty] )
You can use that in a COUNTROWS measure over your stores
No Sales = CALCULATE( COUNTROWS( 'Table A' ), FILTER( 'Table A', [Sales] = 0 ) )- MitchMResolver II
jdbuchanan71's solution works perfect as long as you are able to relate the two tables. If you cannnot relate the tables in the data model you can try this:
Stores with No Sales = VAR TotalStores = DISTINCTCOUNT( 'Table A'[Store] ) VAR StoresWithSales = CALCULATE( DISTINCTCOUNT( 'Table A'[Store] ), TREATAS( SUMMARIZE( 'Table B', 'Table B'[Store] ), 'Table A'[Store] ) ) RETURN TotalStores - StoresWithSales- deppleHelper III
Hi,
I have a connection between the tables, so jdbuchanan71 helped me.
Thank you so much for taking time to show an alternative solution.
/depple
- deppleHelper III
It works perfect.
Thx a million!
/depple