Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
Hi All , need help on the below Please
The below table is a summarized table.. and Total values are sum/ average of the respective columns.. my client has asked if we alter the Values in Total For Ex: % Planned Total Value should be (Total Complete+Total InProgress)/Total (1277+69)/1561
Can this customization be done? Please help
Solved! Go to Solution.
Hi @ak77 - you can create custom measures that apply different calculations for the total row versus the individual rows.
create a custom measure for % Planned
% Planned Custom =
IF(
HASONEVALUE(FactTable[Title]),
DIVIDE(SUM(FactTable[Planned]), SUM(FactTable[Total])),
DIVIDE(SUM(FactTable[Complete]) + SUM(FactTable[In Progress]), SUM(FactTable[Total]))
)
Replace the % Planned column in your table visual with the % Planned Custom measure you created.
limitations like you must manually adjust each measure where the total-row calculation differs.It may not support every kind of complex aggregation, but it handles custom totals effectively for cases like this.
Hope this helps.
Proud to be a Super User! | |
Hi @ak77 - you can create custom measures that apply different calculations for the total row versus the individual rows.
create a custom measure for % Planned
% Planned Custom =
IF(
HASONEVALUE(FactTable[Title]),
DIVIDE(SUM(FactTable[Planned]), SUM(FactTable[Total])),
DIVIDE(SUM(FactTable[Complete]) + SUM(FactTable[In Progress]), SUM(FactTable[Total]))
)
Replace the % Planned column in your table visual with the % Planned Custom measure you created.
limitations like you must manually adjust each measure where the total-row calculation differs.It may not support every kind of complex aggregation, but it handles custom totals effectively for cases like this.
Hope this helps.
Proud to be a Super User! | |
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 48 | |
| 45 | |
| 41 | |
| 19 | |
| 18 |
| User | Count |
|---|---|
| 69 | |
| 68 | |
| 33 | |
| 33 | |
| 31 |