Solved: Re: How To Create Measures Over Hours

Anonymous · ‎02-07-2022

Hello,

I have read through many of the other messages, but I can't seem to get this one to work.

I have sensor data (Please, find it posted) and want to create two measures over 24 hours:

1-) The first measure is a rolling a verage of sensor values over 24 hours

2-) The second measure is a count of the sensor values 24 hours rolling average which exceeded 4. That is, I want to count only those sensor values of the newly created measure that exceeded 4. If there is no exceedance, it should return 0.

Thank you 🙂

Date /Time Sensor Values

01.01.2021 00:00	0,38
01.01.2021 01:00	0,30
01.01.2021 02:00	0,30
01.01.2021 03:00	0,31
01.01.2021 04:00	0,31
01.01.2021 05:00	0,32
01.01.2021 06:00	0,32
01.01.2021 07:00	0,31
01.01.2021 08:00	0,31
01.01.2021 09:00	0,31
01.01.2021 10:00	0,30
01.01.2021 11:00	0,31
01.01.2021 12:00	0,31
01.01.2021 13:00	0,32
01.01.2021 14:00	0,33
01.01.2021 15:00	0,33
01.01.2021 16:00	0,34
01.01.2021 17:00	0,33
01.01.2021 18:00	0,33
01.01.2021 19:00	0,34
01.01.2021 20:00	0,35
01.01.2021 21:00	0,35
01.01.2021 22:00	0,34
01.01.2021 23:00	0,34
02.01.2021 00:00	0,34
02.01.2021 01:00	0,33
02.01.2021 02:00	0,33
02.01.2021 03:00	0,32
02.01.2021 04:00	0,32
02.01.2021 05:00	0,32
02.01.2021 06:00	0,33
02.01.2021 07:00	0,34
02.01.2021 08:00	0,34
02.01.2021 09:00	0,34
02.01.2021 10:00	0,35
02.01.2021 11:00	0,35
02.01.2021 12:00	0,35
02.01.2021 13:00	0,35
02.01.2021 14:00	0,35
02.01.2021 15:00	0,37
02.01.2021 16:00	0,37
02.01.2021 17:00	0,37
02.01.2021 18:00	0,37
02.01.2021 19:00	0,35
02.01.2021 20:00	0,36
02.01.2021 21:00	0,36
02.01.2021 22:00	0,36
02.01.2021 23:00	0,35
03.01.2021 00:00	0,34
03.01.2021 01:00	0,35
03.01.2021 02:00	0,35
03.01.2021 03:00	0,35
03.01.2021 04:00	0,33
03.01.2021 05:00	0,32
03.01.2021 06:00	0,33
03.01.2021 07:00	0,33
03.01.2021 08:00	0,31
03.01.2021 09:00	0,30
03.01.2021 10:00	0,29
03.01.2021 11:00	0,30
03.01.2021 12:00	0,29
03.01.2021 13:00	0,29
03.01.2021 14:00	0,29
03.01.2021 15:00	0,30
03.01.2021 16:00	0,29
03.01.2021 17:00	0,30
03.01.2021 18:00	0,29
03.01.2021 19:00	0,29
03.01.2021 20:00	0,29
03.01.2021 21:00	0,29
03.01.2021 22:00	0,28
03.01.2021 23:00	0,28
04.01.2021 00:00	0,28
04.01.2021 01:00	0,27
04.01.2021 02:00	0,26
04.01.2021 03:00	0,27
04.01.2021 04:00	0,27
04.01.2021 05:00	0,29
04.01.2021 06:00	0,30
04.01.2021 07:00	0,31
04.01.2021 08:00	0,32
04.01.2021 09:00	0,32
04.01.2021 10:00	0,32
04.01.2021 11:00	0,33
04.01.2021 12:00	0,32
04.01.2021 13:00	0,33
04.01.2021 14:00	0,43
04.01.2021 15:00	0,34
04.01.2021 16:00	0,34
04.01.2021 17:00	0,32
04.01.2021 18:00	0,31
04.01.2021 19:00	0,31
04.01.2021 20:00	0,28
04.01.2021 21:00	0,29
04.01.2021 22:00	0,29
04.01.2021 23:00	0,29
05.01.2021 00:00	0,51
05.01.2021 01:00	0,28
05.01.2021 02:00	0,29
05.01.2021 03:00	0,29
05.01.2021 04:00	0,30
05.01.2021 05:00	0,30
05.01.2021 06:00	0,31
05.01.2021 07:00	0,31
05.01.2021 08:00	0,32
05.01.2021 09:00	0,32
05.01.2021 10:00	0,31
05.01.2021 11:00	0,31
05.01.2021 12:00	0,31
05.01.2021 13:00	0,30
05.01.2021 14:00	0,30
05.01.2021 15:00	0,33
05.01.2021 16:00	0,32
05.01.2021 17:00	0,33
05.01.2021 18:00	0,33
05.01.2021 19:00	0,33
05.01.2021 20:00	0,32
05.01.2021 21:00	0,32
05.01.2021 22:00	0,32
05.01.2021 23:00	0,30

v-yanjiang-msft · ‎02-14-2022

Hi @Anonymous ,

According to your description, here's my solution.

Create two measures.

Average =
AVERAGEX (
    FILTER (
        ALL ( 'Table' ),
        DATEVALUE ( 'Table'[Date /Time] ) = DATEVALUE ( MAX ( 'Table'[Date /Time] ) )
            && 'Table'[Date /Time] <= MAX ( 'Table'[Date /Time] )
    ),
    'Table'[Sensor Values]
)

Count = COUNTX ( FILTER ( ALL ( 'Table' ), [Average] > 4 ), 'Table'[Date /Time] )

In my sample, I modify the value of 1/1/21 23:00 to 100, and the count get 1.

I attach my sample below for reference.

Best Regards,
Community Support Team _ kalyj

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

View solution in original post

v-yanjiang-msft · ‎02-14-2022

Hi @Anonymous ,

According to your description, here's my solution.

Create two measures.

Average =
AVERAGEX (
    FILTER (
        ALL ( 'Table' ),
        DATEVALUE ( 'Table'[Date /Time] ) = DATEVALUE ( MAX ( 'Table'[Date /Time] ) )
            && 'Table'[Date /Time] <= MAX ( 'Table'[Date /Time] )
    ),
    'Table'[Sensor Values]
)

Count = COUNTX ( FILTER ( ALL ( 'Table' ), [Average] > 4 ), 'Table'[Date /Time] )

In my sample, I modify the value of 1/1/21 23:00 to 100, and the count get 1.

I attach my sample below for reference.

Best Regards,
Community Support Team _ kalyj

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

amitchandak · ‎02-07-2022

@Anonymous , Try

Avg Measure =calculate(Average(Table[Sensor Values]), filter(table, table[datetime] <=now() && table[datetime] >=now() -time(24,0,0)))

Count GT 4 = calculate(count(Table[Sensor Values]), filter(table, table[datetime] <=now() && table[datetime] >=now() -time(24,0,0) && Table[Sensor Values] >4 ))

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Anonymous · ‎02-08-2022

@amitchandak

Thank you for your reply 🙂

I tried these measures, but the date/time disappears when I drag the Avg measure to the table visualisation(see photos attached), any idea?Before adding AVG measureafter adding AVG measure