Forum Discussion
calculate processing time based on interruptions and restarts
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 !!
2 Replies
- v-jingzhang
Community Support
Hi Anonymous
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
If this post helps, please Accept it as Solution to help other members find it. - AnonymousNot applicable
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 🙂