Explore and share Fabric Notebooks to boost Power BI insights in the new community notebooks gallery.
Check it out now!Microsoft is giving away 50,000 FREE Microsoft Certification exam vouchers. Get Fabric certified for FREE! Learn more
Dear Colleagues,
Please, I would like your support!
As you can see, I have two tables (Table_1 and Table_2) so, I'd like to calculate the percentage of each Category (table_1) according to each status (Table_2).
please see: https://docs.google.com/spreadsheets/d/1u-eWhVPJhTvuFKx9DO9eWt65w7wSnn_o4twDuHRyPrg/edit?usp=drive_l...
Bellow are the formula:
P1= ZD DIVIDE P1 (12-23 months) + P1 (24-59 months)
P3= Uim DIVIDE P3 (12-23 months) + P3 (24-59 months)
MC1= ZD DIVIDE MC1 (12-23 months) + MC1 (24-59 months)
MC2= Uim DIVIDE MC2 (12-23 months) + MC2 (24-59 months)
Solved! Go to Solution.
Hi @dofrancis3 , thank you for your feedback.
Check the following measures:
P1_Percentage =
DIVIDE(
SUM(Table_2[ZD]),
SUM(Table_1[P1 (12-23 months)]) + SUM(Table_1[P1 (24-59 months)]),
0
)
P3_Percentage =
DIVIDE(
SUM(Table_2[Uim]),
SUM(Table_1[P3 (12-23 months)]) + SUM(Table_1[P3 (24-59 months)]),
0
)
MC1_Percentage =
DIVIDE(
SUM(Table_2[ZD]),
SUM(Table_1[MC1 (12-23 months)]) + SUM(Table_1[MC1 (24-59 months)]),
0
)
MC2_Percentage =
DIVIDE(
SUM(Table_2[Uim]),
SUM(Table_1[MC2 (12-23 months)]) + SUM(Table_1[MC2 (24-59 months)]),
0
)
Result:
Best regards,
Joyce
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @dofrancis3 ,
Since I’m unable to open the link file you shared, I will infer the data structure based on your description and provide the solution. If this is not feasible for you, please feel free to reply!
Table_1:
Table_2:
Then follow these steps to create the necessary measures:
Total_Category =
SUM(Table_1[12-23 months]) + SUM(Table_1[24-59 months])
ZD_Percentage =
VAR TotalValue =
CALCULATE(Table_1[Total_Category], ALLEXCEPT(Table_1, Table_1[Category]))
RETURN
DIVIDE(
SUM(Table_2[ZD]),
TotalValue,
0
)
Uim_Percentage =
VAR TotalValue =
CALCULATE(Table_1[Total_Category], ALLEXCEPT(Table_1, Table_1[Category]))
RETURN
DIVIDE(
SUM(Table_2[Uim]),
TotalValue,
0
)
Result for your reference:
Best regards,
Joyce
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Dear @v-yajiewan-msft thank you for your replay but the structures of the table that i have attached isn't the same
This the structure of table_1
Hi @dofrancis3 , thank you for your feedback.
Check the following measures:
P1_Percentage =
DIVIDE(
SUM(Table_2[ZD]),
SUM(Table_1[P1 (12-23 months)]) + SUM(Table_1[P1 (24-59 months)]),
0
)
P3_Percentage =
DIVIDE(
SUM(Table_2[Uim]),
SUM(Table_1[P3 (12-23 months)]) + SUM(Table_1[P3 (24-59 months)]),
0
)
MC1_Percentage =
DIVIDE(
SUM(Table_2[ZD]),
SUM(Table_1[MC1 (12-23 months)]) + SUM(Table_1[MC1 (24-59 months)]),
0
)
MC2_Percentage =
DIVIDE(
SUM(Table_2[Uim]),
SUM(Table_1[MC2 (12-23 months)]) + SUM(Table_1[MC2 (24-59 months)]),
0
)
Result:
Best regards,
Joyce
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.