Calculated Column removing filter context

[ryan_b_fiting]

Hello - 

I am trying to create a calculated column that will provide me the SUM of the cost based on a specific date value for the row in my table.

I have 4 main tables:

Wireless_Numbers, Date_Table, Overview of Lines, Monthly_Costs with the below sample data:

Wireless Numbers:

id	Wirelessnumber
1	xxxxxxx
2	xxxxxxx
3	xxxxxxx
4	xxxxxxx
5	xxxxxxx
6	xxxxxxx
7	xxxxxxx

Overview of Lines (Cost is the column i want to calculate):

numberid	wirelessnumber	Bill Cycle Date	Activation Date	Benchmark Cycle Date	Cost
1	xxxxxxx	1/1/2022	1/1/2019	1/1/2022	32.00
2	xxxxxxx	1/1/2022	1/2/2019	1/1/2022	31.00
3	xxxxxxx	1/1/2022	1/3/2019	1/1/2022	33.00
4	xxxxxxx	1/1/2022	1/4/2019	1/1/2022	33.00
5	xxxxxxx	1/1/2022	1/5/2019	1/1/2022	23.00
6	xxxxxxx	1/1/2022	1/6/2019	1/1/2022	26.00
1	xxxxxxx	2/1/2022	1/1/2019	1/1/2022	32.00
2	xxxxxxx	2/1/2022	1/2/2019	1/1/2022	31.00
3	xxxxxxx	2/1/2022	1/3/2019	1/1/2022	33.00
4	xxxxxxx	2/1/2022	1/4/2019	1/1/2022	33.00
5	xxxxxxx	2/1/2022	1/5/2019	1/1/2022	23.00
6	xxxxxxx	2/1/2022	1/6/2019	1/1/2022	26.00
7	xxxxxxx	2/1/2022	2/12/2022	2/1/2022	32.00
1	xxxxxxx	3/1/2022	1/1/2019	1/1/2022	32.00
2	xxxxxxx	3/1/2022	1/2/2019	1/1/2022	31.00
3	xxxxxxx	3/1/2022	1/3/2019	1/1/2022	33.00
4	xxxxxxx	3/1/2022	1/4/2019	1/1/2022	33.00
5	xxxxxxx	3/1/2022	1/5/2019	1/1/2022	23.00
6	xxxxxxx	3/1/2022	1/6/2019	1/1/2022	26.00
7	xxxxxxx	3/1/2022	2/12/2022	2/1/2022	32.00

Monthly_Cost

numberid	wirelessnumber	Bill Cycle Date	Cost Category	Cost
1	xxxxxxx	1/1/2022	Data Usage	17
2	xxxxxxx	1/1/2022	Data Usage	17
3	xxxxxxx	1/1/2022	Data Usage	16
4	xxxxxxx	1/1/2022	Data Usage	16
5	xxxxxxx	1/1/2022	Data Usage	13
6	xxxxxxx	1/1/2022	Data Usage	14
1	xxxxxxx	2/1/2022	Data Usage	12
2	xxxxxxx	2/1/2022	Data Usage	15
3	xxxxxxx	2/1/2022	Data Usage	16
4	xxxxxxx	2/1/2022	Data Usage	18
5	xxxxxxx	2/1/2022	Data Usage	16
6	xxxxxxx	2/1/2022	Data Usage	18
7	xxxxxxx	2/1/2022	Data Usage	20
1	xxxxxxx	3/1/2022	Data Usage	17
2	xxxxxxx	3/1/2022	Data Usage	15
3	xxxxxxx	3/1/2022	Data Usage	18
4	xxxxxxx	3/1/2022	Data Usage	12
5	xxxxxxx	3/1/2022	Data Usage	14
6	xxxxxxx	3/1/2022	Data Usage	14
7	xxxxxxx	3/1/2022	Data Usage	11
1	xxxxxxx	1/1/2022	Fees and Taxes	15
2	xxxxxxx	1/1/2022	Fees and Taxes	14
3	xxxxxxx	1/1/2022	Fees and Taxes	17
4	xxxxxxx	1/1/2022	Fees and Taxes	17
5	xxxxxxx	1/1/2022	Fees and Taxes	10
6	xxxxxxx	1/1/2022	Fees and Taxes	12
1	xxxxxxx	2/1/2022	Fees and Taxes	11
2	xxxxxxx	2/1/2022	Fees and Taxes	10
3	xxxxxxx	2/1/2022	Fees and Taxes	10
4	xxxxxxx	2/1/2022	Fees and Taxes	12
5	xxxxxxx	2/1/2022	Fees and Taxes	13
6	xxxxxxx	2/1/2022	Fees and Taxes	15
7	xxxxxxx	2/1/2022	Fees and Taxes	12
1	xxxxxxx	3/1/2022	Fees and Taxes	20
2	xxxxxxx	3/1/2022	Fees and Taxes	13
3	xxxxxxx	3/1/2022	Fees and Taxes	20
4	xxxxxxx	3/1/2022	Fees and Taxes	15
5	xxxxxxx	3/1/2022	Fees and Taxes	20
6	xxxxxxx	3/1/2022	Fees and Taxes	15
7	xxxxxxx	3/1/2022	Fees and Taxes	15

Date Table is standard date dimensional table that is joined to the fact tables on Bill Cycle Date.

What I am looking to do is calculate the COST from the Monthly_cost table for the Benchmark Date associated with each Wireless number.  So even if we are looking at March 2022 reporting, I want to see what our cost was for January 2022 for the wirelessid 1, 2 etc.  

We need to compare our benchmark costs, versus our go forward monthly costs to see the monthly savings we are generating for each wireless number.

Is there a way to essentially create this SUMIF excel statement in Power BI:

SUMIFS(Cost, wireless number (Monthly Cost) = Wireless Number (row in Overview of Lines) AND Bill Cycle Date (Monthly Cost) = Benchmark Date (Overview of lines).

I have been trying to figure out this solution with no luck so any help would be great!

Thanks
Ryan

[Anonymous · Accepted solution]

Hi @ryan_b_fiting ,

Please refer to my pbix file to see if it helps you.

Create relationships between tables.

Create a column.

Column =
CALCULATE (
    SUM ( 'monthly cost'[Cost] ),
    FILTER (
        'monthly cost',
        'monthly cost'[wirelessnumber] = EARLIER ( 'Overview of Lines'[wirelessnumber] )
            && 'monthly cost'[Bill Cycle Date]
                = EARLIER ( 'Overview of Lines'[Benchmark Cycle Date] )
    )
)

Or a measure.

Measure_RE =
CALCULATE (
    SUM ( 'monthly cost'[Cost] ),
    FILTER (
        ALL ( 'monthly cost' ),
        'monthly cost'[wirelessnumber]
            = SELECTEDVALUE ( 'Overview of Lines'[wirelessnumber] )
            && 'monthly cost'[Bill Cycle Date]
                = SELECTEDVALUE ( 'Overview of Lines'[Benchmark Cycle Date] )
    )
)

How to Get Your Question Answered Quickly 

If it does not help, please provide more details with your desired output and pbix file without privacy information (or some sample data) .

Best Regards
Community Support Team _ Polly

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

[ryan_b_fiting]

Thanks @Anonymous the column worked as expected.  The measure did not give me the expected output, but I am using the calculated column and it is working for me!

Thanks again for the assistance.