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TimmK
Helper IV
Helper IV

Bar Chart Group By

I have the simple FACT table "Piece" with the columns "Piece Key" and "Duration". A piece key may occur multiple times (as seen in the left table below). Yet, I want to group by "Piece Key" to get the summed duration per piece (as seen in the right table below; 407436 is summed to 60)

 

TimmK_1-1690290336787.png

 

This works fine so far.

 

The DAX code I use for grouping by "Piece Key" is the following:

Duration SUM = 
CALCULATE(
    SUMX(
        SUMMARIZE('Piece', 'Piece'[Piece Key], "SumDuration", SUM('Piece'[Duration])),
        [SumDuration]
    )
)

 

Yet, I want to show the distribution in the sense of frequency per summed duration in a bar chart. But it does not work, I cannot drag & drop my measure with the summed duration by piece key into the x-axis field. How can I do this?

 

I can only use duration for each row, so it counts the value "30" twice, instead of summing it up to "60" and then counting "1".

TimmK_2-1690290389092.png

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @TimmK ,

 

You need to create a table with data generateseries from 0 to max value (60) for X aixs in column chart.

X aixs = 
VAR _SUMMARIZE =
    SUMMARIZE (
        ALL ( 'Piece' ),
        'Piece'[Piece Key],
        "SumDuration", SUM ( 'Piece'[Duration] )
    )
RETURN
    GENERATESERIES ( 0, MAXX ( _SUMMARIZE, [SumDuration] ), 1 )

Measure:

Count = 
VAR _SUMMARIZE =
    SUMMARIZE (
        ALL ( 'Piece' ),
        'Piece'[Piece Key],
        "SumDuration", SUM ( 'Piece'[Duration] )
    )
RETURN
    COUNTAX (
        FILTER ( _SUMMARIZE, [SumDuration] = MAX ( 'X aixs'[X aixs] ) ),
        [Piece Key]
    )

Result is as below.

vrzhoumsft_0-1690427619007.png

 

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.

View solution in original post

2 REPLIES 2
Anonymous
Not applicable

Hi @TimmK ,

 

You need to create a table with data generateseries from 0 to max value (60) for X aixs in column chart.

X aixs = 
VAR _SUMMARIZE =
    SUMMARIZE (
        ALL ( 'Piece' ),
        'Piece'[Piece Key],
        "SumDuration", SUM ( 'Piece'[Duration] )
    )
RETURN
    GENERATESERIES ( 0, MAXX ( _SUMMARIZE, [SumDuration] ), 1 )

Measure:

Count = 
VAR _SUMMARIZE =
    SUMMARIZE (
        ALL ( 'Piece' ),
        'Piece'[Piece Key],
        "SumDuration", SUM ( 'Piece'[Duration] )
    )
RETURN
    COUNTAX (
        FILTER ( _SUMMARIZE, [SumDuration] = MAX ( 'X aixs'[X aixs] ) ),
        [Piece Key]
    )

Result is as below.

vrzhoumsft_0-1690427619007.png

 

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.

barritown
Super User
Super User

Hello @TimmK,

Why don't you just create an additional table and use its [SUM Duration] column to create the bar chart you need?

Extra Table = SUMMARIZE ( Piece, [Piece Key], "SUM Duration", SUM ( Piece[Duation] ) )

 

barritown_0-1690373506983.png

Best Regards,

Alexander

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