DAX or Excel query - excel

Question

How can I write a query in DAX so if I have a data like this, where there is startdate and end date and the total working hour and I need to assign the working hours values to each day .
So what I want is when the start date and the end date is not the same date than the Hours divide between those days.
For example -
User Start-Date End-DATE Hour
Dan 2015-02-05 2015-02-08 32
Here the Start-Date is feb 05 and the End-DATE is 2015-02-08 and Hour is 32
The difference between Start-Date and End-DATE is 4 days.
So I want to divide the hours by the difference of Start-Date and End-DATE and assign those values on each days
So the Expected Output will be ---
User Date Hour
Dan 2015-02-05 8
Dan 2015-02-06 8
Dan 2015-02-07 8
Dan 2015-02-08 8
What I have
User Start-Date End-DATE Hour
Dan 2015-02-05 2015-02-08 32
Dan 2015-02-09 2015-02-09 6
Dan 2015-02-10 2015-02-11 3
Dan 2015-02-11 2015-02-12 8
Expected result -
User Date Hour
Dan 2015-02-05 8
Dan 2015-02-06 8
Dan 2015-02-07 8
Dan 2015-02-08 8
Dan 2015-02-09 6
Dan 2015-02-10 3
Dan 2015-02-11 8
Any one have an idea how to do that in DAX or excel query !

Answer 1

So just before I start I have used Power Bi for this solution which is a free tool to use for personal use however there are some licensing options available. Essentially the premise is the same however there is an element of Power Query used along with some DAX. Anyway here are my steps:
Here is my table before I have made any changes
User Start End Hour
UserA 01/01/2018 05/01/2018 32
Create a custom column to calculate the number of dates between [Start] and [End]
Dates = { Number.From([Start]..Number.From([End]) }
Create another custom column to calculate the number of [Hour]s divided by the number of list items. Do not expand the list before this step!
CountPerDay = [Hour] / List.Count([Dates])
Finally expand your list column to show the number of hours required per day. Note how the dates are in a numeric format. Changing the column data type to "Date" or "DateTime" will change these back to the correct value.
Using my example you should now have a table that looks something like the below:
User Start End Hour Dates CountPerDay
UserA 01/01/2018 05/01/2018 32 01/01/2018 6.4
UserA 01/01/2018 05/01/2018 32 02/01/2018 6.4
UserA 01/01/2018 05/01/2018 32 03/01/2018 6.4
UserA 01/01/2018 05/01/2018 32 04/01/2018 6.4
UserA 01/01/2018 05/01/2018 32 05/01/2018 6.4
If I add the UserB into the mix with the following records:
User Start End Hour
UserB 01/02/2018 02/02/2018 10
The table updates as follows:
User Start End Hour Dates CountPerDay
UserA 01/01/2018 05/01/2018 32 01/01/2018 6.4
UserA 01/01/2018 05/01/2018 32 02/01/2018 6.4
UserA 01/01/2018 05/01/2018 32 03/01/2018 6.4
UserA 01/01/2018 05/01/2018 32 04/01/2018 6.4
UserA 01/01/2018 05/01/2018 32 05/01/2018 6.4
UserB 01/02/2018 02/02/2018 10 01/02/2018 5
UserB 01/02/2018 02/02/2018 10 02/02/2018 5
I hope this helps
J