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Hi, I have 2 tables that are connected via the Customer ID.
My aim is to have a distinct count of the total customers within a given subcategory of Table B if one or more customers from Table A are found within that subcategory.
This would tell me how much of the market we have penetrated. For example, we sell road bikes to Jon Yang which is 1 out of a possible 6 customers within the road bike category.
So essentially, if we have customers from Table A in Table B, what is the total number of customers within the subcategories they exist in.
Any help much appreciated.
Solved! Go to Solution.
Hi @adam_macs ,
I do the test and this is my data of two tables:
I got this result through my testing:
and through filtering, you can get the count of rows related to each subcategory.
for example, I choose Bike , it get the correct result:
so if this result can meets your needs, you can try this measure:
Measure = COUNTROWS(FILTER('Table 1','Table 1'[customer id] in VALUES('Table 2'[customer id])))
Best regards,
Community Support Team Selina zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @adam_macs ,
I do the test and this is my data of two tables:
I got this result through my testing:
and through filtering, you can get the count of rows related to each subcategory.
for example, I choose Bike , it get the correct result:
so if this result can meets your needs, you can try this measure:
Measure = COUNTROWS(FILTER('Table 1','Table 1'[customer id] in VALUES('Table 2'[customer id])))
Best regards,
Community Support Team Selina zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Please share a screenshot of your Data model
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