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Anonymous
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6 years ago
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How to Show Contiguous Sum Trend Based on Timestamped Value Table

I am being provided a dataset from Cost Accounting that has the list of all costed Parts and the time that part was costed (and a "Product" is generally made of multiple costed "Parts"). When a Part's cost is changed, a new row is created with the updated cost and is timestamped with the date the cost was changed. The dataset looks like this:

 

Part Number | Part Cost | Update Date | Product Name
001 5 1-Jan-20 Seat
002 5 1-Jan-20 Seat
003 5 1-Jan-20 Seat
004 8 1-Jan-20 Helmet
005 8 1-Jan-20 Helmet
006 8 1-Jan-20 Helmet
001 7 16-Jan-20 Seat
004 12 19-Jan-20 Helmet
005 10 3-Feb-20 Helmet
The real dataset is roughly 70k unique parts with up to 30 changes each over a 10 year period.

 

 

My end goal is to have a measure that can show the Product's cost on a line chart with a contiguous date axis. When filtered to "Seat" the chart would show a cost of $15 up through 16JAN, where the cost would then update to $17, and so on. When filtered on "Helmet", it would show a cost of $24 up through 19JAN where it would then show $28, then update to $30 on 03FEB and show that through present day.

 

Thank you in advance for any advice! I've been stumped and searching hasn't turned up anything useful.

Need Help
  • v-alq-msft's avatar
    v-alq-msft
    6 years ago

    Hi, Anonymous 

     

    Based on your description, I created data to reproduce your scenario. The pbix file is attached in the end.

    Table:

     

    Calendar(a calculated table):

    Calendar = CALENDARAUTO()

     

    There is no relationship between two tables. You may create a measure as below.

    Result = 
var tab = 
ADDCOLUMNS(
    SUMMARIZE(
        FILTER(
            ALL('Table'),
            'Table'[Update Date]<=SELECTEDVALUE('Calendar'[Date])
        ),
        'Table'[Product Name],
        'Table'[Part Number],
        "MaxDate",MAX('Table'[Update Date])
    ),
    "Cost",
    CALCULATE(
        SUM('Table'[Part Cost]),
        FILTER(
            ALL('Table'),
            'Table'[Product Name]=EARLIER('Table'[Product Name])&&
            'Table'[Part Number]=EARLIER('Table'[Part Number])&&
            'Table'[Update Date]=EARLIER([MaxDate])
        )
    )
)
return
SUMX(
    FILTER(
        tab,
        [Product Name]=SELECTEDVALUE('Table'[Product Name])
    ),
    [Cost]
)

     

    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.

     

1 Reply

  • v-alq-msft's avatar
    v-alq-msft
    Icon for Community Support rankCommunity Support
    6 years ago

    Hi, Anonymous 

     

    Based on your description, I created data to reproduce your scenario. The pbix file is attached in the end.

    Table:

     

    Calendar(a calculated table):

    Calendar = CALENDARAUTO()

     

    There is no relationship between two tables. You may create a measure as below.

    Result = 
var tab = 
ADDCOLUMNS(
    SUMMARIZE(
        FILTER(
            ALL('Table'),
            'Table'[Update Date]<=SELECTEDVALUE('Calendar'[Date])
        ),
        'Table'[Product Name],
        'Table'[Part Number],
        "MaxDate",MAX('Table'[Update Date])
    ),
    "Cost",
    CALCULATE(
        SUM('Table'[Part Cost]),
        FILTER(
            ALL('Table'),
            'Table'[Product Name]=EARLIER('Table'[Product Name])&&
            'Table'[Part Number]=EARLIER('Table'[Part Number])&&
            'Table'[Update Date]=EARLIER([MaxDate])
        )
    )
)
return
SUMX(
    FILTER(
        tab,
        [Product Name]=SELECTEDVALUE('Table'[Product Name])
    ),
    [Cost]
)

     

    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.