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Ilse_ScpDt's avatar
Ilse_ScpDt
Icon for Helper I rankHelper I
5 years ago
Solved

Count rows depending on other row values by group

I would like to count rows (number of clauses) with following logic:

- if within one organization a clause number ending on a zero is present the other clauses with the same starting number shouldn't be counted.

 

So for organization A clause number 6.0 is present and therefore 6.1 and 6.2 shouldn't be counted. Clause 6.0 itself is always counted. The total number of clauses for this organization is 3.

 

OrganizationClauseCount
A2.1Yes
A6.0Yes
A6.1No
A6.2No
A7.1Yes
B5.2Yes
B7.0Yes
B7.1No

 

I would like to create the third column above, so I can just use a filter on each page. Of course it is also possible to create a general measure and place it in a table with Organization, but I would also like to visualize the total number of clauses (e.g. by country) with the above logic. 

 

How could I create this calculated column?

Need Help
  • v-alq-msft's avatar
    v-alq-msft
    5 years ago

    Hi, Ilse_ScpDt 

     

    Based on your description, i created data to reproduce your scenario. The pbix file is attached in the end.

    Table:

     

    You may create a calculated column and a measure as below.

    Calculated column:

    Flag Column = 
var _min = 
MINX(
    FILTER(
        'Table',
        [Organization]=EARLIER('Table'[Organization])&&
        ROUNDDOWN([Clause],0)=ROUNDDOWN(EARLIER('Table'[Clause]),0)
    ),
    [Clause]
)
return
IF(
    _min=ROUNDDOWN([Clause],0),
    IF(
        [Clause]=_min,
        "Yes",
        "No"
    ),
    "Yes"
)

    Measure:

    Count Measure = 
COUNTROWS(
    FILTER(
        ALLSELECTED('Table'),
        [Flag Column]="Yes"
    )
)

     

    Result:

     

    Best Regards

    Allan

     

    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

4 Replies

  • amitchandak's avatar
    amitchandak
    Icon for Super User rankSuper User
    5 years ago

    Ilse_ScpDt , Create a new column like

     


    new column =
    var _min = minx(filter(Table, [Organization] =earlier([Organization]) , rounddown([Clause],0) = rounddown(earlier([Clause]),0)),[Clause])
    return
    if([Clause] =_min, "Yes", "No")

  • Ilse_ScpDt's avatar
    Ilse_ScpDt
    Icon for Helper I rankHelper I
    5 years ago

    amitchandak Thanks for your reply, this is already in the right direction but still needs some alterations. 

     

    For one of the organizations this is the result:

     

    1.0Yes
    1.1No
    2.2Yes
    4.1Yes
    6.1Yes
    6.3No
    7.6No
    7.7No

     

    So clause 1.1 is not counted because of clause 1.0, that's correct. This logic needs to be true only in case of a clause zero.

    Now also 6.3 is not counted because there is a lower clause number (6.1), but they should both be counted because there is no clause 6.0.

    Why both 7.6 and 7.7 aren't counted I am not sure.

  • v-alq-msft's avatar
    v-alq-msft
    Icon for Community Support rankCommunity Support
    5 years ago

    Hi, Ilse_ScpDt 

     

    Based on your description, i created data to reproduce your scenario. The pbix file is attached in the end.

    Table:

     

    You may create a calculated column and a measure as below.

    Calculated column:

    Flag Column = 
var _min = 
MINX(
    FILTER(
        'Table',
        [Organization]=EARLIER('Table'[Organization])&&
        ROUNDDOWN([Clause],0)=ROUNDDOWN(EARLIER('Table'[Clause]),0)
    ),
    [Clause]
)
return
IF(
    _min=ROUNDDOWN([Clause],0),
    IF(
        [Clause]=_min,
        "Yes",
        "No"
    ),
    "Yes"
)

    Measure:

    Count Measure = 
COUNTROWS(
    FILTER(
        ALLSELECTED('Table'),
        [Flag Column]="Yes"
    )
)

     

    Result:

     

    Best Regards

    Allan

     

    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.