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
Hey Guys,
I have a purchase table that shows Purchase Date, Purchase ID, User ID, and Purchase Amount.
ie:
Date | Purchase ID | User ID | Amount |
5/1/2022 | P3 | 1 | 5 |
5/3/2022 | P4 | 1 | 23 |
6/1/2022 | P5 | 1 | 15 |
4/1/2022 | P1 | 2 | 16 |
4/18/2022 | P2 | 2 | 18 |
6/2/2022 | P6 | 2 | 100 |
6/2/2022 | P7 | 2 | 120 |
My objective is to count the number of users per month that have made over 13 transcations, and spent over $1,000. So basically i need to calculate per month how many transactions each unique user made as well as sum up how much each user spent each month. And then from there I only want to count the users that had more than 13 transaction and spent over 1000 for that specific month.
Trying to figure the best way to calculate this. Any help would be great
Solved! Go to Solution.
@kpatel49 , try a measure like
countx(filter(summarize(Table, Table[User], Table[Month Year] , "_1", countrows(Table), "_1", sum(Table[Amount])), [_1] >13 && [_2] > 1000),[User])
@kpatel49 , try a measure like
countx(filter(summarize(Table, Table[User], Table[Month Year] , "_1", countrows(Table), "_1", sum(Table[Amount])), [_1] >13 && [_2] > 1000),[User])
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 | |
79 | |
47 | |
39 |
User | Count |
---|---|
149 | |
110 | |
66 | |
64 | |
56 |