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I am struggling to count and Identify the products with more than one delivery days value. Here is a simple dataset:
Here, Products A, C and E have more than one delivery days value, while product B and D has only one . The original dataset has thousands of rows and I will like to identify those Products with more than one delivery days value. Please bear in mind that the datasource is a live connection therefore i cannot create columns, or other flexibilities. Your ideas will be very much appreciated!
Solved! Go to Solution.
Hi, @Anonymous
Take a try measure as below in your live connection model :
Count =
CALCULATE(
COUNTROWS('Table 1'),
FILTER(
ALL('Table 1'),
'Table 1'[Product] in DISTINCT('Table 1'[Product])
)
)
Best Regards,
Community Support Team _ Eason
I missed and information, the Product and Delivery days are from different tables in the model! Sorry about not mentioning that earlier
Hi, @Anonymous
Take a try measure as below in your live connection model :
Count =
CALCULATE(
COUNTROWS('Table 1'),
FILTER(
ALL('Table 1'),
'Table 1'[Product] in DISTINCT('Table 1'[Product])
)
)
Best Regards,
Community Support Team _ Eason
Hi Amitchandak,
Thanks for the response, however the figure the formula derived is wrong.
User | Count |
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85 | |
81 | |
64 | |
53 | |
46 |
User | Count |
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101 | |
49 | |
42 | |
39 | |
38 |