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Hi everyone,
I have a table with customer balances in a timeline. Now I want to show how the balance has developed over time, per customer, in a calculated column.
So for example, I have this table called CustomerTransactions:
Customer Transdate Balance Desired column
112 1-1-2020 500 500
112 1-5-2020 900 1400
112 4-5-2020 -200 1200
113 1-1-2020 400 400
113 2-5-2020 -900 -500
113 8-5-2020 300 -200
Anyone know how to get this 'Desire column'? Thanks!
Solved! Go to Solution.
Hi, @Tamerlane
Based on your description, I created data to reproduce your scenario. The pbix file is attached in the end.
Table:
You may create a calculated column or a measure as below.
Calculated column:
Result Column = 
var _customer = [Customer]
var _transdate = [Transdate]
return
CALCULATE(
    SUM('Table'[Balance]),
    FILTER(
        ALL('Table'),
        'Table'[Customer]=_customer&&
        'Table'[Transdate]<=_transdate
    )
)
Measure:
Result Measure = 
var tab = 
ADDCOLUMNS(
    'Table',
    "Result",
    var _customer = [Customer]
    var _transdate = [Transdate]
    return
    CALCULATE(
        SUM('Table'[Balance]),
        FILTER(
            ALL('Table'),
            'Table'[Customer]=_customer&&
            'Table'[Transdate]<=_transdate
        )
    )
)
return
SUMX(
    tab,
    [Result]
) 
Result:
Best Regards
Allan
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi, @Tamerlane
Based on your description, I created data to reproduce your scenario. The pbix file is attached in the end.
Table:
You may create a calculated column or a measure as below.
Calculated column:
Result Column = 
var _customer = [Customer]
var _transdate = [Transdate]
return
CALCULATE(
    SUM('Table'[Balance]),
    FILTER(
        ALL('Table'),
        'Table'[Customer]=_customer&&
        'Table'[Transdate]<=_transdate
    )
)
Measure:
Result Measure = 
var tab = 
ADDCOLUMNS(
    'Table',
    "Result",
    var _customer = [Customer]
    var _transdate = [Transdate]
    return
    CALCULATE(
        SUM('Table'[Balance]),
        FILTER(
            ALL('Table'),
            'Table'[Customer]=_customer&&
            'Table'[Transdate]<=_transdate
        )
    )
)
return
SUMX(
    tab,
    [Result]
) 
Result:
Best Regards
Allan
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
as new column
Desired column= SUMX(filter(all(Table),Table[Transdate] <=earlier(Table[Transdate]) && Table[Customer] =earlier(Table[Customer])),Sales[Balance])
As new measure
Desired Measure = CALCULATE(SUM(Sales[Balance]),filter(all(Table),Table[Transdate] <=max(Table[Transdate]) && Table[Customer] =max(Table[Customer])))
@Tamerlane check this post.
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