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Anonymous
Not applicable

TimeStamp difference

Hello, 

Capture.PNG

I have the following dataset. I wanted to populate a another column to generate the next timestamp adjacent to the timestamp column to indicate the endtime of each state. After that I would like to calculate the duration of each state by taking the difference between the starting timestamp and the ending one. I am relatively new so could you kindly guide me on how to create the columns for the ending timestamp and a column which generates the value of the timedifference between the timestamps. 
Thank you!




1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @Anonymous 

Is this the result you want ?

Ailsamsft_0-1624588959226.png

There is too much data in the screenshot you provided, so I extracted a small part and created a sample .

First , create a column to return the next timestamp and then create a column to calculate the diff .

next timestamp =
var _ID='Table'[ID]+1
return
CALCULATE(MAX('Table'[timestamp]),FILTER('Table','Table'[ID]=_ID))
diff = 'Table'[next timestamp]-'Table'[timestamp]

I have attached my pbix file ,you can refer to it .

 

Best Regards

Community Support Team _ Ailsa Tao

 

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

1 REPLY 1
Anonymous
Not applicable

Hi @Anonymous 

Is this the result you want ?

Ailsamsft_0-1624588959226.png

There is too much data in the screenshot you provided, so I extracted a small part and created a sample .

First , create a column to return the next timestamp and then create a column to calculate the diff .

next timestamp =
var _ID='Table'[ID]+1
return
CALCULATE(MAX('Table'[timestamp]),FILTER('Table','Table'[ID]=_ID))
diff = 'Table'[next timestamp]-'Table'[timestamp]

I have attached my pbix file ,you can refer to it .

 

Best Regards

Community Support Team _ Ailsa Tao

 

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

 

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