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Hello,
In my matrix , I want to create a new column or measure that calculates the average of my columns 1 and 2.
I would like to point out that the moving average is a measure
Best regards
Solved! Go to Solution.
Hi , @dfs29
Thanks for your quick response!
According to your description, you want to "For example in line 1 (cf below) I have no values in column 2 so I want to divide by 1".
You can try to use dax code :
Measure = var _t =ADDCOLUMNS( CROSSJOIN( ALLSELECTED('Table'[time]) , ALLSELECTED('Table'[user case])) , "mv avg" , [moving average])
var _cur_time = MAX('Table'[time])
var _column = MAX('Table 2'[user case])
var _t2 = FILTER( _t,[time] =_cur_time && [user case] = _column)
var _value= SUMX(_t2,[mv avg])+0
var _count =CALCULATE( COUNTROWS('Table 2') , 'Table 2'[user case] <> "AVG")
var _count2 =COUNTROWS( FILTER(_t , [time]=_cur_time && [mv avg] <> BLANK()))
var _sum =SUMX( FILTER( _t , [time] = _cur_time) , [mv avg])
return
IF( _column= "AVG" , _sum/_count2 ,_value)
Thank you for your time and sharing, and thank you for your support and understanding of PowerBI!
Best Regards,
Aniya Zhang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
Hi , @dfs29
According to your description, you want to create a new column or measure that calculates the average of my columns 1 and 2.
First we can modify the [user case] to Text type.
Then we can click "New Table" create a dimension table as the column field , and we do not need to create any relationship between tables.
Table 2 = UNION( VALUES('Table'[user case]) , {"AVG"})
Then we can create a measure like this:
Measure = var _t =ADDCOLUMNS( CROSSJOIN( ALLSELECTED('Table'[time]) , ALLSELECTED('Table'[user case])) , "mv avg" , [moving average])
var _cur_time = MAX('Table'[time])
var _column = MAX('Table 2'[user case])
var _t2 = FILTER( _t,[time] =_cur_time && [user case] = _column)
var _value= SUMX(_t2,[mv avg])+0
var _count =CALCULATE( COUNTROWS('Table 2') , 'Table 2'[user case] <> "AVG")
var _sum =SUMX( FILTER( _t , [time] = _cur_time) , [mv avg])
return
IF( _column= "AVG" , _sum/_count ,_value)
Then we can put this measure, 'Table2'[user case] and the 'Table'[time] on the Matrix visual and we can get the result as follows:
Thank you for your time and sharing, and thank you for your support and understanding of PowerBI!
Best Regards,
Aniya Zhang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
Hello @v-yueyunzh-msft ,
thank you very much for taking the time to explain it to me it seems to be correct.
However, what should I do if I want to divide by the number of non-empty columns?
For example in line 1 (cf below) I have no values in column 2 so I want to divide by 1
in line 3 I have a value for column 1 and a value for column 2, so I divide by 2
do you have an idea please
Kind regards
Hi , @dfs29
Thanks for your quick response!
According to your description, you want to "For example in line 1 (cf below) I have no values in column 2 so I want to divide by 1".
You can try to use dax code :
Measure = var _t =ADDCOLUMNS( CROSSJOIN( ALLSELECTED('Table'[time]) , ALLSELECTED('Table'[user case])) , "mv avg" , [moving average])
var _cur_time = MAX('Table'[time])
var _column = MAX('Table 2'[user case])
var _t2 = FILTER( _t,[time] =_cur_time && [user case] = _column)
var _value= SUMX(_t2,[mv avg])+0
var _count =CALCULATE( COUNTROWS('Table 2') , 'Table 2'[user case] <> "AVG")
var _count2 =COUNTROWS( FILTER(_t , [time]=_cur_time && [mv avg] <> BLANK()))
var _sum =SUMX( FILTER( _t , [time] = _cur_time) , [mv avg])
return
IF( _column= "AVG" , _sum/_count2 ,_value)
Thank you for your time and sharing, and thank you for your support and understanding of PowerBI!
Best Regards,
Aniya Zhang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
@dfs29 This looks like a measure aggregation problem. See my blog article about that here: https://community.powerbi.com/t5/Community-Blog/Design-Pattern-Groups-and-Super-Groups/ba-p/138149
The pattern is:
MinScoreMeasure = MINX ( SUMMARIZE ( Table, Table[Group] , "Measure",[YourMeasure] ), [Measure])
MaxScoreMeasure = MAXX ( SUMMARIZE ( Table, Table[Group] , "Measure",[YourMeasure] ), [Measure])
AvgScoreMeasure = AVERAGEX ( SUMMARIZE ( Table, Table[Group] , "Measure",[YourMeasure] ), [Measure])
etc.
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