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Hey Everyone,
I'm trying to get a colum in a Power BI table that shows a calculated average improvement based on weekly metric results.
The raw data looks likes this.
My idea is to calculate the average metric per week using it's weight with a dax formula. Like this:
AVG Metric =
DIVIDE(
SUMX(
RAW_METRICS2,
RAW_METRICS2[Metric] * RAW_METRICS2[Weight]
),
SUM(RAW_METRICS2[Weight])
)
Then, somehow calculate the "improvement" of the current week compared to the past week the trend using this formula:
week_trend = (current week AVG metric) - (past week AVG metric)
And for all selected weeks between the selected dates (using slicer) get the average improvement.
This table roughly sumarizes the improvement week over week of selected data.
This is what i want to see in the Power BI table on my report. A
Solved! Go to Solution.
Hi @JasonCou ,
I create a table as you mentioned.
Then I a measure , here is the DAX code.
Improvement =
VAR _currentPerson =
SELECTEDVALUE ( RAW_METRICS2[Person] )
VAR _currentFW =
MAX ( 'RAW_METRICS2'[FW] )
VAR _PreviousFW =
CALCULATE (
MAX ( 'RAW_METRICS2'[FW] ),
FILTER ( ALLSELECTED ( RAW_METRICS2 ), 'RAW_METRICS2'[FW] < _currentFW )
)
VAR _vtable =
SUMMARIZE (
ALLSELECTED ( 'RAW_METRICS2' ),
'RAW_METRICS2'[Person],
'RAW_METRICS2'[FW],
"_Metric", 'RAW_METRICS2'[AVG Metric]
)
VAR _vtable2 =
ADDCOLUMNS (
_vtable,
"_LastMetric",
MAXX (
FILTER ( _vtable, [Person] = _currentPerson && [FW] = _PreviousFW ),
[_Metric]
)
)
RETURN
IF (
MAXX (
FILTER ( _vtable2, [Person] = _currentPerson && [FW] = _currentFW ),
[_LastMetric]
)
<> BLANK (),
[AVG Metric]
- MAXX (
FILTER ( _vtable2, [Person] = _currentPerson && [FW] = _currentFW ),
[_LastMetric]
),
0
)
Finally you will get what you want.
Best Regards
Yilong Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @JasonCou ,
I create a table as you mentioned.
Then I a measure , here is the DAX code.
Improvement =
VAR _currentPerson =
SELECTEDVALUE ( RAW_METRICS2[Person] )
VAR _currentFW =
MAX ( 'RAW_METRICS2'[FW] )
VAR _PreviousFW =
CALCULATE (
MAX ( 'RAW_METRICS2'[FW] ),
FILTER ( ALLSELECTED ( RAW_METRICS2 ), 'RAW_METRICS2'[FW] < _currentFW )
)
VAR _vtable =
SUMMARIZE (
ALLSELECTED ( 'RAW_METRICS2' ),
'RAW_METRICS2'[Person],
'RAW_METRICS2'[FW],
"_Metric", 'RAW_METRICS2'[AVG Metric]
)
VAR _vtable2 =
ADDCOLUMNS (
_vtable,
"_LastMetric",
MAXX (
FILTER ( _vtable, [Person] = _currentPerson && [FW] = _PreviousFW ),
[_Metric]
)
)
RETURN
IF (
MAXX (
FILTER ( _vtable2, [Person] = _currentPerson && [FW] = _currentFW ),
[_LastMetric]
)
<> BLANK (),
[AVG Metric]
- MAXX (
FILTER ( _vtable2, [Person] = _currentPerson && [FW] = _currentFW ),
[_LastMetric]
),
0
)
Finally you will get what you want.
Best Regards
Yilong Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
If you remove the FW column it may give you your intended result
Hey thank you, but what I need is the AVG improvement wow, so I can't remove the FW colum from the raw data. I do, though, not have it on the Powe BI table, but then the improvement is not calculated WOW
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