Forum Discussion
Find total duration based on virtual filtered table.
- 7 years ago
Hi Jimmy,
Seems like this could work for me.
I have excluded some data in the miniute level granuality for the sake of simplicity.
My actual data looks like below. I need duration to calculate when only Avil column is '0'.
This is just a 30min sample only involving only 3 equips only. I have about 150 other type of equips.
What I am trying here is to get the total duration of area where Avil is '0' based on the orginal explenation. I am using Time Brush to change the time in the report.
I can email my PBIX file if you want to have a look.
You have been a great help so far.
Time Equip Avil Area SubArea Group 13:00 BL 1 A1 SA1 G1 13:01 BL 1 A1 SA1 G1 13:02 BL 1 A1 SA1 G1 13:03 BL 1 A1 SA1 G1 13:04 BL 1 A1 SA1 G1 13:05 BL 1 A1 SA1 G1 13:06 BL 1 A1 SA1 G1 13:07 BL 1 A1 SA1 G1 13:08 BL 1 A1 SA1 G1 13:09 BL 1 A1 SA1 G1 13:10 BL 1 A1 SA1 G1 13:11 BL 1 A1 SA1 G1 13:12 BL 1 A1 SA1 G1 13:13 BL 0 A1 SA1 G1 13:14 BL 0 A1 SA1 G1 13:15 BL 0 A1 SA1 G1 13:16 BL 0 A1 SA1 G1 13:17 BL 0 A1 SA1 G1 13:18 BL 0 A1 SA1 G1 13:19 BL 1 A1 SA1 G1 13:20 BL 1 A1 SA1 G1 13:21 BL 1 A1 SA1 G1 13:22 BL 1 A1 SA1 G1 13:23 BL 1 A1 SA1 G1 13:24 BL 1 A1 SA1 G1 13:25 BL 1 A1 SA1 G1 13:26 BL 1 A1 SA1 G1 13:27 BL 1 A1 SA1 G1 13:28 BL 1 A1 SA1 G1 13:29 BL 1 A1 SA1 G1 13:30 BL 1 A1 SA1 G1 13:00 Gri 1 A1 SA1 G1 13:01 Gri 1 A1 SA1 G1 13:02 Gri 1 A1 SA1 G1 13:03 Gri 1 A1 SA1 G1 13:04 Gri 1 A1 SA1 G1 13:05 Gri 1 A1 SA1 G1 13:06 Gri 1 A1 SA1 G1 13:07 Gri 1 A1 SA1 G1 13:08 Gri 1 A1 SA1 G1 13:09 Gri 1 A1 SA1 G1 13:10 Gri 1 A1 SA1 G1 13:11 Gri 1 A1 SA1 G1 13:12 Gri 1 A1 SA1 G1 13:13 Gri 0 A1 SA1 G1 13:14 Gri 0 A1 SA1 G1 13:15 Gri 0 A1 SA1 G1 13:16 Gri 0 A1 SA1 G1 13:17 Gri 0 A1 SA1 G1 13:18 Gri 0 A1 SA1 G1 13:19 Gri 0 A1 SA1 G1 13:20 Gri 0 A1 SA1 G1 13:21 Gri 0 A1 SA1 G1 13:22 Gri 0 A1 SA1 G1 13:23 Gri 0 A1 SA1 G1 13:24 Gri 0 A1 SA1 G1 13:25 Gri 0 A1 SA1 G1 13:26 Gri 0 A1 SA1 G1 13:27 Gri 0 A1 SA1 G1 13:28 Gri 0 A1 SA1 G1 13:29 Gri 0 A1 SA1 G1 13:30 Gri 0 A1 SA1 G1 13:00 Cru 0 A1 SA1 G1 13:01 Cru 0 A1 SA1 G1 13:02 Cru 0 A1 SA1 G1 13:03 Cru 0 A1 SA1 G1 13:04 Cru 0 A1 SA1 G1 13:05 Cru 1 A1 SA1 G1 13:06 Cru 1 A1 SA1 G1 13:07 Cru 1 A1 SA1 G1 13:08 Cru 1 A1 SA1 G1 13:09 Cru 1 A1 SA1 G1 13:10 Cru 1 A1 SA1 G1 13:11 Cru 1 A1 SA1 G1 13:12 Cru 1 A1 SA1 G1 13:13 Cru 1 A1 SA1 G1 13:14 Cru 1 A1 SA1 G1 13:15 Cru 1 A1 SA1 G1 13:16 Cru 1 A1 SA1 G1 13:17 Cru 1 A1 SA1 G1 13:18 Cru 1 A1 SA1 G1 13:19 Cru 0 A1 SA1 G1 13:20 Cru 1 A1 SA1 G1 13:21 Cru 1 A1 SA1 G1 13:22 Cru 1 A1 SA1 G1 13:23 Cru 1 A1 SA1 G1 13:24 Cru 1 A1 SA1 G1 13:25 Cru 1 A1 SA1 G1 13:26 Cru 1 A1 SA1 G1 13:27 Cru 1 A1 SA1 G1 13:28 Cru 1 A1 SA1 G1 13:29 Cru 1 A1 SA1 G1 13:30 Cru 1 A1 SA1 G1 - 7 years ago
You just need to modify the dax of first table like below:
New Table = SUMMARIZE ( FILTER ( 'Table', 'Table'[Avil] = 0 ), 'Table'[Type], "Duration", CALCULATE ( COUNTROWS ( 'Table' ), ALLEXCEPT ( 'Table', 'Table'[Type] ) ), "Start", CALCULATE ( MIN ( 'Table'[Time] ), ALLEXCEPT ( 'Table', 'Table'[Type] ) ), "End", CALCULATE ( MAX ( 'Table'[Time] ), ALLEXCEPT ( 'Table', 'Table'[Type] ) ) )Community Support Team _ Jimmy Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi Jimmy,
Seems like this could work for me.
I have excluded some data in the miniute level granuality for the sake of simplicity.
My actual data looks like below. I need duration to calculate when only Avil column is '0'.
This is just a 30min sample only involving only 3 equips only. I have about 150 other type of equips.
What I am trying here is to get the total duration of area where Avil is '0' based on the orginal explenation. I am using Time Brush to change the time in the report.
I can email my PBIX file if you want to have a look.
You have been a great help so far.
| Time | Equip | Avil | Area | SubArea | Group |
| 13:00 | BL | 1 | A1 | SA1 | G1 |
| 13:01 | BL | 1 | A1 | SA1 | G1 |
| 13:02 | BL | 1 | A1 | SA1 | G1 |
| 13:03 | BL | 1 | A1 | SA1 | G1 |
| 13:04 | BL | 1 | A1 | SA1 | G1 |
| 13:05 | BL | 1 | A1 | SA1 | G1 |
| 13:06 | BL | 1 | A1 | SA1 | G1 |
| 13:07 | BL | 1 | A1 | SA1 | G1 |
| 13:08 | BL | 1 | A1 | SA1 | G1 |
| 13:09 | BL | 1 | A1 | SA1 | G1 |
| 13:10 | BL | 1 | A1 | SA1 | G1 |
| 13:11 | BL | 1 | A1 | SA1 | G1 |
| 13:12 | BL | 1 | A1 | SA1 | G1 |
| 13:13 | BL | 0 | A1 | SA1 | G1 |
| 13:14 | BL | 0 | A1 | SA1 | G1 |
| 13:15 | BL | 0 | A1 | SA1 | G1 |
| 13:16 | BL | 0 | A1 | SA1 | G1 |
| 13:17 | BL | 0 | A1 | SA1 | G1 |
| 13:18 | BL | 0 | A1 | SA1 | G1 |
| 13:19 | BL | 1 | A1 | SA1 | G1 |
| 13:20 | BL | 1 | A1 | SA1 | G1 |
| 13:21 | BL | 1 | A1 | SA1 | G1 |
| 13:22 | BL | 1 | A1 | SA1 | G1 |
| 13:23 | BL | 1 | A1 | SA1 | G1 |
| 13:24 | BL | 1 | A1 | SA1 | G1 |
| 13:25 | BL | 1 | A1 | SA1 | G1 |
| 13:26 | BL | 1 | A1 | SA1 | G1 |
| 13:27 | BL | 1 | A1 | SA1 | G1 |
| 13:28 | BL | 1 | A1 | SA1 | G1 |
| 13:29 | BL | 1 | A1 | SA1 | G1 |
| 13:30 | BL | 1 | A1 | SA1 | G1 |
| 13:00 | Gri | 1 | A1 | SA1 | G1 |
| 13:01 | Gri | 1 | A1 | SA1 | G1 |
| 13:02 | Gri | 1 | A1 | SA1 | G1 |
| 13:03 | Gri | 1 | A1 | SA1 | G1 |
| 13:04 | Gri | 1 | A1 | SA1 | G1 |
| 13:05 | Gri | 1 | A1 | SA1 | G1 |
| 13:06 | Gri | 1 | A1 | SA1 | G1 |
| 13:07 | Gri | 1 | A1 | SA1 | G1 |
| 13:08 | Gri | 1 | A1 | SA1 | G1 |
| 13:09 | Gri | 1 | A1 | SA1 | G1 |
| 13:10 | Gri | 1 | A1 | SA1 | G1 |
| 13:11 | Gri | 1 | A1 | SA1 | G1 |
| 13:12 | Gri | 1 | A1 | SA1 | G1 |
| 13:13 | Gri | 0 | A1 | SA1 | G1 |
| 13:14 | Gri | 0 | A1 | SA1 | G1 |
| 13:15 | Gri | 0 | A1 | SA1 | G1 |
| 13:16 | Gri | 0 | A1 | SA1 | G1 |
| 13:17 | Gri | 0 | A1 | SA1 | G1 |
| 13:18 | Gri | 0 | A1 | SA1 | G1 |
| 13:19 | Gri | 0 | A1 | SA1 | G1 |
| 13:20 | Gri | 0 | A1 | SA1 | G1 |
| 13:21 | Gri | 0 | A1 | SA1 | G1 |
| 13:22 | Gri | 0 | A1 | SA1 | G1 |
| 13:23 | Gri | 0 | A1 | SA1 | G1 |
| 13:24 | Gri | 0 | A1 | SA1 | G1 |
| 13:25 | Gri | 0 | A1 | SA1 | G1 |
| 13:26 | Gri | 0 | A1 | SA1 | G1 |
| 13:27 | Gri | 0 | A1 | SA1 | G1 |
| 13:28 | Gri | 0 | A1 | SA1 | G1 |
| 13:29 | Gri | 0 | A1 | SA1 | G1 |
| 13:30 | Gri | 0 | A1 | SA1 | G1 |
| 13:00 | Cru | 0 | A1 | SA1 | G1 |
| 13:01 | Cru | 0 | A1 | SA1 | G1 |
| 13:02 | Cru | 0 | A1 | SA1 | G1 |
| 13:03 | Cru | 0 | A1 | SA1 | G1 |
| 13:04 | Cru | 0 | A1 | SA1 | G1 |
| 13:05 | Cru | 1 | A1 | SA1 | G1 |
| 13:06 | Cru | 1 | A1 | SA1 | G1 |
| 13:07 | Cru | 1 | A1 | SA1 | G1 |
| 13:08 | Cru | 1 | A1 | SA1 | G1 |
| 13:09 | Cru | 1 | A1 | SA1 | G1 |
| 13:10 | Cru | 1 | A1 | SA1 | G1 |
| 13:11 | Cru | 1 | A1 | SA1 | G1 |
| 13:12 | Cru | 1 | A1 | SA1 | G1 |
| 13:13 | Cru | 1 | A1 | SA1 | G1 |
| 13:14 | Cru | 1 | A1 | SA1 | G1 |
| 13:15 | Cru | 1 | A1 | SA1 | G1 |
| 13:16 | Cru | 1 | A1 | SA1 | G1 |
| 13:17 | Cru | 1 | A1 | SA1 | G1 |
| 13:18 | Cru | 1 | A1 | SA1 | G1 |
| 13:19 | Cru | 0 | A1 | SA1 | G1 |
| 13:20 | Cru | 1 | A1 | SA1 | G1 |
| 13:21 | Cru | 1 | A1 | SA1 | G1 |
| 13:22 | Cru | 1 | A1 | SA1 | G1 |
| 13:23 | Cru | 1 | A1 | SA1 | G1 |
| 13:24 | Cru | 1 | A1 | SA1 | G1 |
| 13:25 | Cru | 1 | A1 | SA1 | G1 |
| 13:26 | Cru | 1 | A1 | SA1 | G1 |
| 13:27 | Cru | 1 | A1 | SA1 | G1 |
| 13:28 | Cru | 1 | A1 | SA1 | G1 |
| 13:29 | Cru | 1 | A1 | SA1 | G1 |
| 13:30 | Cru | 1 | A1 | SA1 | G1 |
You just need to modify the dax of first table like below:
New Table =
SUMMARIZE (
FILTER ( 'Table', 'Table'[Avil] = 0 ),
'Table'[Type],
"Duration", CALCULATE ( COUNTROWS ( 'Table' ), ALLEXCEPT ( 'Table', 'Table'[Type] ) ),
"Start", CALCULATE ( MIN ( 'Table'[Time] ), ALLEXCEPT ( 'Table', 'Table'[Type] ) ),
"End", CALCULATE ( MAX ( 'Table'[Time] ), ALLEXCEPT ( 'Table', 'Table'[Type] ) )
)
Community Support Team _ Jimmy Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.