This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
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.
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 30 | |
| 24 | |
| 23 | |
| 17 | |
| 15 |
| User | Count |
|---|---|
| 63 | |
| 36 | |
| 30 | |
| 23 | |
| 22 |