The ultimate Microsoft Fabric, Power BI, Azure AI, and SQL learning event: Join us in Stockholm, September 24-27, 2024.
Save €200 with code MSCUST on top of early bird pricing!
Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started
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
@Anonymous , Try a measure like
countx(filter(summarize(Table, Table[product], "_1", distinctcount(Table[Delivery Days])),[_1] >1),[product])
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
@Anonymous ,Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.
Hi Amitchandak,
Thanks for the response, however the figure the formula derived is wrong.
Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.
Check out the August 2024 Power BI update to learn about new features.
Learn from experts, get hands-on experience, and win awesome prizes.
User | Count |
---|---|
113 | |
80 | |
78 | |
44 | |
37 |
User | Count |
---|---|
157 | |
112 | |
64 | |
60 | |
54 |