Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
Hi friends,
I want to create a calculated table using Summarize function which contains "Sales" and "Cost" measure.
Sales = CALCULATE(SUM(F_Sales[NetSales]),
TREATAS(VALUES('D_Table'[year_month]),F_Sales[yearmonth]),
TREATAS(VALUES('D_Table'[customer_no]),F_Sales[customer_no]))Cost = CALCULATE(SUM(F_Cost[Cost]),
TREATAS(VALUES('D_Table'[sup_code]), F_Cost[sup_code]),
TREATAS(VALUES('D_Table'[year_month]),F_Cost[year_month]),
TREATAS(VALUES('D_Table'[Product]),F_Cost[Product]))
Here is my calculated table:
Summarize_table =
SUMMARIZE(D_Table,
D_Table[rep_code],
D_Table[sup_code],
D_Table[year_month],
D_Table[product],
D_Table[Region],
"Sales",[Sales]
,"Cost",[Cost]
)
I compare the Sales measure and Cost measure in original table with Sales and Cost column in Summazie_table. The Sales gave me correct number. However, the cost made alot of difference.
I had no idea why I used exactly the same measures Sale and Cost in summarize_table. However, the result of cost is different. I want it exactly the same.
Could anyone please help me to solve it out?
Thank for your help.
Solved! Go to Solution.
I realized that my sale and cost measure using TREATAS must use the same granularity to make it work.
I realized that my sale and cost measure using TREATAS must use the same granularity to make it work.
Hello @tracytran91
I hope below code works for you.
Summarize_table =
VAR SalesTable =
SUMMARIZE(
D_TABLE,
'D_Table'[year_month],
'D_Table'[customer_no],
"Sales",[Sales]
)
VAR CostTable =
SUMMARIZE(
D_TABLE,
'D_Table'[sup_code],
'D_Table'[year_month],
'D_Table'[Product],
"Cost",[Cost]
)
RETURN
UNION(SalesTable,CostTable)
Thank You.
@Anonymous Thank for your reply.
I gave it a try and UNION function make the column Sales and Cost becomes a "sales" column. It is not my expectation.
Hello @tracytran91
Could you please share the pbix file after removing the sensitive information?
Thank You.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Check out the February 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 50 | |
| 49 | |
| 35 | |
| 15 | |
| 14 |
| User | Count |
|---|---|
| 92 | |
| 75 | |
| 41 | |
| 26 | |
| 25 |