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Helper II

## Cumulative distinct count

Hi all,

I have a table with order, date and customer and I would like to count the number of cumulative orders per customer.

Currently I have:

Measure = CALCULATE(DISTINCTCOUNT('Table'[Order]),FILTER(ALLSELECTED('Table'),'Table'[Order]<max('Table'[Order]))).

This works but I would like to have it counted per customer without having to filter them. (Expected results: 0-1-2-2-0-1-0-1). In addition, I'd like to know how to do the same thing with a calculated column, since using the formula as is returns only 1 number.

Thx,

Joery

1 ACCEPTED SOLUTION
Employee

You may try to create a measure or column as below:

Measure =
CALCULATE (
DISTINCTCOUNT ( Table1[Order] ),
FILTER (
ALLEXCEPT ( Table1, Table1[Customer] ),
Table1[Order] < MAX ( Table1[Order] )
)
)
+ 0

Column =
CALCULATE (
DISTINCTCOUNT ( Table1[Order] ),
FILTER (
Table1,
Table1[Customer] = EARLIER ( Table1[Customer] )
&& Table1[Order] < EARLIER ( Table1[Order] )
)
)
+ 0

Regards,

Cherie

Community Support Team _ Cherie Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
3 REPLIES 3
Employee

You may try to create a measure or column as below:

Measure =
CALCULATE (
DISTINCTCOUNT ( Table1[Order] ),
FILTER (
ALLEXCEPT ( Table1, Table1[Customer] ),
Table1[Order] < MAX ( Table1[Order] )
)
)
+ 0

Column =
CALCULATE (
DISTINCTCOUNT ( Table1[Order] ),
FILTER (
Table1,
Table1[Customer] = EARLIER ( Table1[Customer] )
&& Table1[Order] < EARLIER ( Table1[Order] )
)
)
+ 0

Regards,

Cherie

Community Support Team _ Cherie Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Helper II

Thank you! There is one issue though.

This works perfectly in my test-dataset but calculating the column is too heavy in the actual one. Dataset is currently ~155k rows. Is there any way to do this more efficiently?

Regards,

Joery

Employee

You may also try to make a query with M language in Advanced Editor in Query Editor. It seems a more complicated way.

Regards,

Cherie

Community Support Team _ Cherie Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

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