Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Apologies if my subject is unclear, I wasn't sure on the language to use.
I have a set of data similar to this example: https://data2actionltd-my.sharepoint.com/:x:/g/personal/aimee_laird_data2action_co_uk/EcITVcSSC6dNh9...
I think I need to do this as a calculated column rather than a measure, however open to your advice.
I am looking at the how many items were sold to a property. Depending on the item, is the sale classed as a Single or a Dual sale.
E.g.
Water + Bread = Dual
Water + Sugar = Single
Water + Bread + Sugar = Dual
Water = Single
Bread = Single
In my dashboard, I want to show:
Number of Multi sales WTD, MTD and YTD
Number of Single sales WTD, MTD, and YTD
Help please! i've tried all sorts but can't make sense of a solution.
Solved! Go to Solution.
@Aimeeclaird So try something like:
Type =
VAR __Table = FILTER('Table (13)',[Address] = EARLIER([Address]))
VAR __Items = DISTINCT(SELECTCOLUMNS(__Table,"__Item",[Item]))
RETURN
SWITCH(TRUE(),
COUNTROWS(__Items) = 1,"Single",
"Water" IN __Items && "Bread" IN __Items,"Dual",
"Single"
)
I mocked this up in attached PBIX (Table (13)) below sig.
@Aimeeclaird So try something like:
Type =
VAR __Table = FILTER('Table (13)',[Address] = EARLIER([Address]))
VAR __Items = DISTINCT(SELECTCOLUMNS(__Table,"__Item",[Item]))
RETURN
SWITCH(TRUE(),
COUNTROWS(__Items) = 1,"Single",
"Water" IN __Items && "Bread" IN __Items,"Dual",
"Single"
)
I mocked this up in attached PBIX (Table (13)) below sig.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
10 | |
9 | |
9 | |
8 | |
8 |
User | Count |
---|---|
14 | |
12 | |
11 | |
11 | |
8 |