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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 @Anonymous 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.
Dear @Anonymous Thank you
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