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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.
| Organization | Clause | Count | 
| A | 2.1 | Yes | 
| A | 6.0 | Yes | 
| A | 6.1 | No | 
| A | 6.2 | No | 
| A | 7.1 | Yes | 
| B | 5.2 | Yes | 
| B | 7.0 | Yes | 
| B | 7.1 | No | 
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?
Solved! Go to Solution.
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.
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.
@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:
| 1.0 | Yes | 
| 1.1 | No | 
| 2.2 | Yes | 
| 4.1 | Yes | 
| 6.1 | Yes | 
| 6.3 | No | 
| 7.6 | No | 
| 7.7 | No | 
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.
@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")
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