Supplies are limited. Contact info@espc.tech right away to save your spot before the conference sells out.
Get your discountScore big with last-minute savings on the final tickets to FabCon Vienna. Secure your discount
Solved! Go to Solution.
Hi @Stuartm1983
I would first recommend you set up your data model like this, with Date and Area dimension tables:
Then write measures as follows:
Loss Amount =
SUM ( 'Granular Voids'[Amount] )
Target Amount =
COUNTROWS ( 'Date' ) * SUM ( Target[Target Rent] )
// This treats Target Rent as a daily amount and multiplies by the number of days filtered
% Void Loss =
DIVIDE ( [Loss Amount], [Target Amount] )
Then the measures should produce the values as expected when filtered on 15 September (using your inputs at the top of the post):
PBIX attached for reference.
Regards,
Owen
Hi @Stuartm1983
I would first recommend you set up your data model like this, with Date and Area dimension tables:
Then write measures as follows:
Loss Amount =
SUM ( 'Granular Voids'[Amount] )
Target Amount =
COUNTROWS ( 'Date' ) * SUM ( Target[Target Rent] )
// This treats Target Rent as a daily amount and multiplies by the number of days filtered
% Void Loss =
DIVIDE ( [Loss Amount], [Target Amount] )
Then the measures should produce the values as expected when filtered on 15 September (using your inputs at the top of the post):
PBIX attached for reference.
Regards,
Owen
User | Count |
---|---|
12 | |
11 | |
8 | |
6 | |
5 |
User | Count |
---|---|
25 | |
19 | |
14 | |
10 | |
7 |