Morning all,
Another little piece of help required please, this time regarding dates/times that overlap.
Example Data:
I need to calculate the number of days overlapping within the data for each unique Name.
[TABLE="width: 449"]
<tbody>[TR]
[TD]Name (A)
[/TD]
[TD]Start (B)
[/TD]
[TD]End (C)
[/TD]
[/TR]
[TR]
[TD]Dave
[/TD]
[TD]08/02/2018 09:00
[/TD]
[TD]08/02/2018 11:00
[/TD]
[/TR]
[TR]
[TD]Dave
[/TD]
[TD]08/02/2018 09:00
[/TD]
[TD]08/02/2018 12:00
[/TD]
[/TR]
[TR]
[TD]Tom
[/TD]
[TD]08/02/2018 09:30
[/TD]
[TD]08/02/2018 15:30
[/TD]
[/TR]
</tbody>[/TABLE]
So in the above example the expected outcome for Dave's total overlap would equal 0.0833 (or in other words 2 hours).
Thanks in advance
MM
Another little piece of help required please, this time regarding dates/times that overlap.
Example Data:
I need to calculate the number of days overlapping within the data for each unique Name.
[TABLE="width: 449"]
<tbody>[TR]
[TD]Name (A)
[/TD]
[TD]Start (B)
[/TD]
[TD]End (C)
[/TD]
[/TR]
[TR]
[TD]Dave
[/TD]
[TD]08/02/2018 09:00
[/TD]
[TD]08/02/2018 11:00
[/TD]
[/TR]
[TR]
[TD]Dave
[/TD]
[TD]08/02/2018 09:00
[/TD]
[TD]08/02/2018 12:00
[/TD]
[/TR]
[TR]
[TD]Tom
[/TD]
[TD]08/02/2018 09:30
[/TD]
[TD]08/02/2018 15:30
[/TD]
[/TR]
</tbody>[/TABLE]
So in the above example the expected outcome for Dave's total overlap would equal 0.0833 (or in other words 2 hours).
Thanks in advance
MM