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Anonymous
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## Calculate column average 30 days after min date (not aggregate)

Hi. I have a data table that looks like this where a new row is created every time the user updated their happiness level:

 UserID Happiness Level DateUpdated 1 5 12/17/19 2 6 12/17/19 3 3 12/17/19 4 4 12/18/19 5 8 12/18/19 1 7 12/20/19 1 7 1/16/20 2 2 1/16/20 3 3 1/16/20 3 9 1/18/20 4 7 1/17/20 5 9 1/17/20

I want to average the happiness level of a cohort on the 30th day AFTER their first(MIN) report (so, cohort of USER IDs 1, 2, and 3 average  on 1/16/20 and user ID 4 and 5 on 1/17/20.) Only the 30th day after each cohort so I wind up with a table like this:

 start date first happiness avg 30 days later happiness acg 1/17/19 # # 1/18/19 # #

I used this to get the initial (MIN) avg happiness level, but cannot figure out how to calculate the same thing 30 days after the MIN. Can you please help?

```OTP2 =
SUMX (
DISTINCT ( DelOrder[OrderLineID] );
VAR firstArrivalDate =
CALCULATE ( MIN ( DelOrder[Orderline Arrival Date] ) )
RETURN
CALCULATE (
SUM ( DelOrder[On Time] );
FILTER ( DelOrder; DelOrder[Orderline Arrival Date] = firstArrivalDate )
)
)
/ DISTINCTCOUNT ( DelOrder[OrderLineID] )```

3 REPLIES 3
Community Support

Hi @Anonymous ,

Could you tell me if your problem has been solved? If it is, kindly mark the helpful answer as a solution if you feel that makes sense. Welcome to share your own solution. More people will benefit from here.

Best Regards,

Xue Ding

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

Best Regards,
Xue Ding
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Anonymous
Not applicable

This problem has not been solved

Community Support

Hi @Anonymous ,

I create two formulas based on your description and formula. Please try and check if it is what you want. If it is not, please share your expected results. Then we will understand clearly and solve it quickly.

``````Start date = CALCULATE(MIN('Table'[DateUpdated]),ALLEXCEPT('Table','Table'[UserID]))

Happiness Avg =
VAR total_level =
CALCULATE (
SUM ( 'Table'[Happiness Level] ),
FILTER ( 'Table', 'Table'[DateUpdated] = [Start date] )
)
VAR count_id =
DISTINCTCOUNT ( 'Table'[UserID] )
RETURN
DIVIDE ( total_level, count_id )

30 days later Happiness Avg =
VAR total_level =
CALCULATE (
SUM ( 'Table'[Happiness Level] ),
FILTER (
'Table',
'Table'[DateUpdated] >= [Start date]
&& 'Table'[DateUpdated] <= [Start date] + 30
)
)
VAR count_id =
DISTINCTCOUNT ( 'Table'[UserID] )
RETURN
DIVIDE ( total_level, count_id )
``````

Best Regards,

Xue Ding

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

Best Regards,
Xue Ding
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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