calculate processing time based on interruptions and restarts

[zumsl]

Hi,
I would like to use the power query to calculate the processing time based on interruptions and restarts.
An employee can open (STATUS=STARTED) and process a ticket several times. Once they have finished, they can close it (STATUS=CLOSED). How can I calculate the average of all these time intervals for the same ticket number?
Each time the employee suspends the activity, the ticket will have a status="INTERRUPT" and STATUS="RESUME" when it is resumed.

Tnaksin advance !!

[zumsl]

Hi !

Service_id	work_log_type	start_timestamp	end_timestamp	Correct_Timestamp
8912871	SERVICE_STARTED	25.04.2023 14:10:49	25.04.2023 14:15:10	start_timestamp	25.04.2023 14:10:49	a
8912871	SERVICE_INTERRUPT	25.04.2023 14:15:10	25.04.2023 14:15:10	end_timestamp	25.04.2023 14:15:10	b	b-a	00:04:21
8912871	SERVICE_RESUME	25.04.2023 14:15:18	25.04.2023 14:18:42	start_timestamp	25.04.2023 14:15:18	c
8912871	SERVICE_INTERRUPT	25.04.2023 14:18:42	25.04.2023 14:18:42	end_timestamp	25.04.2023 14:18:42	d	d-c	00:03:24
8912871	SERVICE_RESUME	25.04.2023 14:19:46	25.04.2023 14:21:16	start_timestamp	25.04.2023 14:19:46	e
8912871	SERVICE_INTERRUPT	25.04.2023 14:21:16	25.04.2023 14:21:16	end_timestamp	25.04.2023 14:21:16	f	f-e	00:01:30
8912871	SERVICE_RESUME	25.04.2023 16:26:38	25.04.2023 16:32:57	start_timestamp	25.04.2023 16:26:38	g
8912871	SERVICE_COMPLETED	25.04.2023 16:33:32	25.04.2023 16:33:33	end_timestamp	25.04.2023 16:33:33	h	h-g	00:06:55
							Durée correcte	00:16:10

thanks for your help 🙂

[v-jingzhang]

Hi @zumsl 

Can you provide some sample data and expected result in table format? 

If your table has start time and end time of every interval, you can add a column to calculate the duration of every interval first. Then you can use Group by feature to get the average of intervals per ticket number. Group by ticket number column and calculate the average of interval duration in a new column. 

If you can provide some sample data, we can help provide a detailed solution. 

Best Regards,
Community Support Team _ Jing
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