Estimating monthly values from table using start date/end date

[MT]

Hello everyone,

I have data that looks like this:

Identifier	Start Date	End Date	Usage Value
ABCF1234	1/01/2015	28/02/2015	387
AFDV1345	1/01/2015	12/01/2015	234
AFDV1345	13/01/2015	31/01/2015	423

What I need to do is to have monthly values for each identifier, but the non-uniform start and end dates are giving me a bit of a headache. Ideal output would look like this:

Identifier	Month	Usage Value
ABCF1234	Jan-15	200
ABCF1234	Feb-15	187
AFDV1345	Jan-15	657

I realise this would be an estimation, but I just cant figure out a way to do this. I was thinking something along the lines of getting an avg daily value, but I have no idea how I would group those values into months.

Has anybody dealt with this kind of data before? Any help would be much appreciated.

Cheers

[v-ljerr-msft]

Hi @MT,

Have you tried the solution provided by @Phil_Seamark above? Does it work in your scenario? If it works, could you accept it as solution to close this thread?

If you still have any question on this issue, feel free to post here. 

Regards

[Phil_Seamark · Accepted solution]

Hi @MT

I think this might be getting close

Table = 
GROUPBY(
    FILTER(
        CROSSJOIN(
            -- Create and on the fly calendar table with a month column
            ADDCOLUMNS(
                CALENDARAUTO(),
                "Month",FORMAT([Date],"MMM-YY")
                ),
           -- Add a column to our base table that adds an average daily value
            ADDCOLUMNS(
                'Table1',
                        "Averate Usage Per Day",
                        DIVIDE(
                                'Table1'[Usage Value],
                                DATEDIFF(
                                    'Table1'[Start Date],
                                    'Table1'[End Date],DAY
                                        )
                                )
                            )
                            ),
        'Table1'[Start Date] <= [Date] && 
        'Table1'[End Date] >= [Date]
        ),
        -- Perform the actual grouping here --
        -- So Group by --
        [Identifier],
        [Month],
        -- Now sum up the Average daily usage for the above groupings --
        "Usage Value", SUMX(
                            CURRENTGROUP(),
                            [Averate Usage Per Day]
                            )
        )

If I run this over your sample data I get the following result