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## Averages Showing Wildly Incorrect Numbers

I am trying to find the average pickup and dropoff times for each client in our center to compare to the scheduled pickup/dropoff times for analysis. I have tried this a few different ways but the averages I am getting are so far off from what they should be. Looking for any assistance. Currently I am using the following formula to find the average pickup time :

AveragePickUpTime =
AVERAGEX(
FILTER('Form Data', 'Form Data'[PickUpOrDropOff] = "PickUp"),
'Form Data'[Date]
)

and this one for the column in the table

AveragePickUpColumn =
AVERAGEX(
FILTER('Form Data', 'Form Data'[PickUpOrDropOff] = "PickUp" && 'Form Data'[Client] = 'Client Schedules'[Client Initials]),
'Form Data'[Date]
)

I honestly got confused because there were a lot of conflicting tutorials and I got messed up along the way. All I want is the average pickup time per client and the average dropoff time per client. I would also like this data to be filterable. Please let me know if any additional screenshots

This is the schedule page where I am trying to make a calculated fieldThis is the relationshipThis is the form data from the sign-in/out

For reference here is what the averages should be:

1 ACCEPTED SOLUTION
Community Support

I created some data:

I'm not very clear about what you mean by date average, whether it refers to the average of the minimum date and the maximum date (hh:mm:ss), if it's convenient, you can explain the logic of date average, we can help you better.

Here are the steps you can follow：

1. Create calculated column.

If you want to get the average of the minimum and maximum dates after grouping (hh:mm:ss)

``````AVG(hhmmss) =
var _mindate=
MINX(FILTER(ALL('Table'),'Table'[Group]=EARLIER('Table'[Group])),[Scheduled DropOff])
var _maxdate=
MAXX(FILTER(ALL('Table'),'Table'[Group]=EARLIER('Table'[Group])),[Scheduled DropOff])
var _second=
DATEDIFF(
_mindate,_maxdate,SECOND)
var _count=
COUNTX(
FILTER(ALL('Table'),'Table'[Group]=EARLIER('Table'[Group])),[Scheduled DropOff])
var _avg=
DIVIDE(
_second,_count)
RETURN
TIME ( 0, 0, FLOOR ( _avg, 1 ) )``````

If you want to get the average date between the minimum and maximum dates after grouping.

``````AVG =
var _mindate=
MINX(FILTER(ALL('Table'),'Table'[Group]=EARLIER('Table'[Group])),[Scheduled DropOff])
RETURN
_mindate + [AVG(hhmmss)]``````

2. Set the data format as follows.

3. Result:

Best Regards,

Liu Yang

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

Community Support

I created some data:

I'm not very clear about what you mean by date average, whether it refers to the average of the minimum date and the maximum date (hh:mm:ss), if it's convenient, you can explain the logic of date average, we can help you better.

Here are the steps you can follow：

1. Create calculated column.

If you want to get the average of the minimum and maximum dates after grouping (hh:mm:ss)

``````AVG(hhmmss) =
var _mindate=
MINX(FILTER(ALL('Table'),'Table'[Group]=EARLIER('Table'[Group])),[Scheduled DropOff])
var _maxdate=
MAXX(FILTER(ALL('Table'),'Table'[Group]=EARLIER('Table'[Group])),[Scheduled DropOff])
var _second=
DATEDIFF(
_mindate,_maxdate,SECOND)
var _count=
COUNTX(
FILTER(ALL('Table'),'Table'[Group]=EARLIER('Table'[Group])),[Scheduled DropOff])
var _avg=
DIVIDE(
_second,_count)
RETURN
TIME ( 0, 0, FLOOR ( _avg, 1 ) )``````

If you want to get the average date between the minimum and maximum dates after grouping.

``````AVG =
var _mindate=
MINX(FILTER(ALL('Table'),'Table'[Group]=EARLIER('Table'[Group])),[Scheduled DropOff])
RETURN
_mindate + [AVG(hhmmss)]``````

2. Set the data format as follows.

3. Result:

Best Regards,

Liu Yang

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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