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hello all,
I have the following table:
v.ID. | Loc | Date | Status |
V1 | P | 01-Feb-2019 13:00:00 | Slow |
V1 | P | 01-Feb-2019 12:30:00 | Slow |
V1 | P | 01-Feb-2019 12:15:00 | Slow |
V1 | P | 31-Jan-2019 23:00:00 | Slow |
V1 | R | 31-Jan-2019 20:30:00 | Slow |
V1 | R | 31-Jan-2019 18:00:00 | Slow |
V1 | R | 30-Jan-2019 16:00:00 | Slow |
V1 | R | 30-Jan-2019 14:00:00 | Slow |
V1 | R | 30-Jan-2019 12:00:00 | Slow |
V1 | R | 30-Jan-2019 11:00:00 | Normal |
V1 | R | 30-Jan-2019 10:00:00 | Normal |
V1 | R | 30-Jan-2019 09:00:00 | Normal |
V1 | R | 30-Jan-2019 07:00:00 | Normal |
V1 | R | 30-Jan-2019 06:30:00 | Slow |
V1 | R | 30-Jan-2019 01:00:00 | Slow |
V1 | R | 29-Jan-2019 23:00:00 | Slow |
V1 | R | 29-Jan-2019 18:00:00 | Slow |
V1 | R | 29-Jan-2019 15:00:00 | Slow |
There will be more rows for different vehicle Ids (v. ID) but for I've limited it to one vehicle id.
The expected output is to identify the latest date/time and earliest date/time for vid+loc+status combination. Then, compute the difference in days for this combination. The expected output for the above should be as below:
v. ID. | Loc | Status | From Date | To date | Days |
V1 | P | Slow | 31-Jan-2019 23:00:00 | 01-Feb-2019 13:00:00 | 0.583333 |
V1 | R | Slow | 30-Jan-2019 12:00:00 | 31-Jan-2019 20:30:00 | 1.354167 |
V1 | R | Normal | 30-Jan-2019 07:00:00 | 30-Jan-2019 11:00:00 | 0.166667 |
V1 | R | Slow | 29-Jan-2019 15:00:00 | 30-Jan-2019 06:30:00 | 0.645833 |
I attempted various options like transpose, summarizecolumns with filter etc. but failed miserably. Please can someone assist on how I am to go about achieving this.
thanks in advance.
Rajesh
Hi @Rajesh1
Is there a column to define differnt vehicle running record as below?
v.ID. | Loc | Date | Status | column |
V1 | P | 2/1/2019 13:00 | Slow | 1 |
V1 | P | 2/1/2019 12:30 | Slow | 1 |
V1 | P | 2/1/2019 12:15 | Slow | 1 |
V1 | P | 1/31/2019 23:00 | Slow | 1 |
V1 | R | 1/31/2019 20:30 | Slow | 2 |
V1 | R | 1/31/2019 18:00 | Slow | 2 |
V1 | R | 1/30/2019 16:00 | Slow | 2 |
V1 | R | 1/30/2019 14:00 | Slow | 2 |
V1 | R | 1/30/2019 12:00 | Slow | 2 |
V1 | R | 1/30/2019 11:00 | Normal | 3 |
V1 | R | 1/30/2019 10:00 | Normal | 3 |
V1 | R | 1/30/2019 9:00 | Normal | 3 |
V1 | R | 1/30/2019 7:00 | Normal | 3 |
V1 | R | 1/30/2019 6:30 | Slow | 4 |
V1 | R | 1/30/2019 1:00 | Slow | 4 |
V1 | R | 1/29/2019 23:00 | Slow | 4 |
V1 | R | 1/29/2019 18:00 | Slow | 4 |
V1 | R | 1/29/2019 15:00 | Slow | 4 |
From your screenshot and provided information, it is hard to differ the row 1 and row4.
v. ID. | Loc | Status | From Date | To date | Days | |
V1 | P | Slow | ######## | ######## | 0.583333 | 1 |
V1 | R | Slow | ######## | ######## | 1.354167 | 2 |
V1 | R | Normal | ######## | ######## | 0.166667 | 3 |
V1 | R | Slow | ######## | ######## | 0.645833 | 4 |
Best Regards
Maggie
hi @v-juanli-msft ,
Thanks for your reply.
I have been unable to work out a way to create such a column.
Tried Current_Column_Value = EARLIER(Column Value) in a calculate + filter. I am yet to find a way to get this 'key' column created. If I am able to create this column, I can then do a summarizecolumn and get the job done.
This is where I am stuck at.
Looking forward to some ideas to achieve this.
Thanks again,
Rajesh
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