Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreWe've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
Hi, I was having a problem on calculating a measure, where I want to know the utilisation percentage of a truck by customer. Here is the table example:
| Customer Name | Item Weight | Vehicle | Vehicle Type | Vehicle Space |
| A | 500 | ABC | SINGLE TIRE | 2000 |
| A | 600 | ABC | SINGLE TIRE | 2000 |
| A | 700 | ABC | SINGLE TIRE | 2000 |
| A | 1000 | CDE | DOUBLE TIRE | 4000 |
| A | 2000 | CDE | DOUBLE TIRE | 4000 |
| B | 300 | FGH | SINGLE TIRE | 2000 |
| B | 400 | FGH | SINGLE TIRE | 2000 |
| B | 500 | FGH | SINGLE TIRE | 2000 |
| B | 750 | IJK | DOUBLE TIRE | 4000 |
| B | 600 | IJK | DOUBLE TIRE | 4000 |
| VEHICLE | WEIGHT | VEHICLE SPACE | TRUCK UTILISATION |
| ABC | 1800 | 2000 | 90% |
| CDE | 3000 | 4000 | 75% |
| FGH | 1200 | 2000 | 60% |
| IJK | 1350 | 4000 | 34% |
| CUSTOMER NAME | AVG TRUCK UTL |
| A | 83% |
| B | 47% |
Solved! Go to Solution.
Hi @juanconsuela123 ,
I suggest you to try code as below to create measures.
TRUCK UTILISATION =
VAR _ITEM =
CALCULATE ( SUM ( 'Table'[Item Weight] ) )
VAR _SPACE =
CALCULATE ( MAX ( 'Table'[Vehicle Space] ) )
RETURN
DIVIDE ( _ITEM, _SPACE )AVG TRUCK UTL =
AVERAGEX (
SUMMARIZE ( 'Table', 'Table'[Customer Name], 'Table'[Vehicle] ),
[TRUCK UTILISATION]
)
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @juanconsuela123 ,
I suggest you to try code as below to create measures.
TRUCK UTILISATION =
VAR _ITEM =
CALCULATE ( SUM ( 'Table'[Item Weight] ) )
VAR _SPACE =
CALCULATE ( MAX ( 'Table'[Vehicle Space] ) )
RETURN
DIVIDE ( _ITEM, _SPACE )AVG TRUCK UTL =
AVERAGEX (
SUMMARIZE ( 'Table', 'Table'[Customer Name], 'Table'[Vehicle] ),
[TRUCK UTILISATION]
)
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hey @juanconsuela123 ,
without any hint about calculating the measure, it's hard to provide a DAX statement.
Regards,
Tom
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 |
|---|---|
| 55 | |
| 34 | |
| 32 | |
| 19 | |
| 17 |
| User | Count |
|---|---|
| 75 | |
| 72 | |
| 38 | |
| 35 | |
| 25 |