Best method to add two additional calculated rows based on a Group By, incorporated into an unpivot piece of T-SQL?

  • Hi,
    Pasted at the very bottom of this post is the T-SQL I wrote to unpivot, and format, some data. I require the data in this structure for Power BI.
    The returned dataset is below too.

    What I require is two things:
    1)  Based on the returned dataset. I require a new row for each Division and Category that has the new value of 'SSGP' for its Grouping_Level that contains the calculation of (Sales - Costs). For example the new rows should look like:
    DIVISION______GROUPING_LEVEL_______CATEGORY_______VALUE
    Central________SSGP___________________DEValue__________(whatever the Grouping_Level.Sales - Costs is for Grouping_Level.DEValue for Central)
    Central________SSGP___________________DETarget_________(whatever the Grouping_Level.Sales - Grouping_Level.Costs is for DETarget for Central)
    Central________SSGP___________________MTDValue________(whatever the Grouping_Level.Sales - Grouping_Level.Costs is for MTDValue for Central)
    Central________SSGP___________________MTDTarget________(whatever the Grouping_Level.Sales - Grouping_Level.Costs is for MTDTarget for Central)
    This needs to be worked out for every Division and the four Category values.

    2) The second thing I require is, for each Division and Category I required the Grouping_Level to have the value of 'Gross Profit' and for the Category values of SSGP, FCP, CoS Adj, Customer Rebate, Settlement, Supplier Rebate summed. For example,
    DIVISION______GROUPING_LEVEL_______CATEGORY________VALUE
    DAT__________Gross Profit______________DEValue___________(SSGP + FCP + CoS Adj + Customer Rebate + Settlement + Supplier Rebate)
    DAT__________Gross Profit______________DETarget__________(SSGP + FCP + CoS Adj + Customer Rebate + Settlement + Supplier Rebate)
    DAT__________Gross Profit______________MTDValue_________(SSGP + FCP + CoS Adj + Customer Rebate + Settlement + Supplier Rebate)
    DAT__________Gross Profit______________MTDTarget_________(SSGP + FCP + CoS Adj + Customer Rebate + Settlement + Supplier Rebate)
    This needs to be worked out for every Division and the four Category values.

    Please can someone help me incorporate the required into the T-SQL I have written/pasted below?
    Any help will be much appreciated. Thanks in advance.

    data:image/png;base64,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

     

    SELECT [Division], [Grouping_Level] , Category , Value

    FROM

    (

    SELECT

    CASE

    WHEN Division = 'South West & South' THEN 'South West'

    WHEN Division = 'Design & Technology' THEN 'DAT'

    WHEN Division = 'Flex-R' THEN 'FlexR'

    ELSE REPLACE( Division, 'S ', '' )

    END AS Division

    , Grouping_Level

    , ROUND( CONVERT( DECIMAL( 36,2 ), MTDValue ), 2 ) AS MTDValue

    , ROUND( CONVERT( DECIMAL( 36,2 ), MTDTarget ), 2 ) AS MTDTarget

    , ROUND( CONVERT( DECIMAL( 36,2 ), DEValue ), 2 ) AS DEValue

    , ROUND( CONVERT( DECIMAL( 36,2 ), DETarget ), 2 ) AS DETarget

    FROM [MISReporting].[dbo].[tbl_DailyE2E_FC] ) p

    UNPIVOT

    (

    Value FOR Category IN ( MTDValue, MTDTarget, DEValue, DETarget )

    ) AS unpiv

    WHERE Division NOT IN ( 'Central Admin', 'Central Admin SVS', 'eCommerce', 'Historical' )

    UNION

    SELECT Division, Grouping_Level , Category , Value

    FROM

    (

    SELECT 'Central' AS Division

    , Grouping_Level

    , SUM( ROUND( CONVERT( DECIMAL( 36,2 ), MTDValue ), 2 ) ) AS MTDValue

    , SUM( ROUND( CONVERT( DECIMAL( 36,2 ), MTDTarget ), 2 ) ) AS MTDTarget

    , SUM( ROUND( CONVERT( DECIMAL( 36,2 ), DEValue ), 2 ) ) AS DEValue

    , SUM( ROUND( CONVERT( DECIMAL( 36,2 ), DETarget ), 2 ) ) AS DETarget

    FROM [MISReporting].[dbo].[tbl_DailyE2E_FC]

    WHERE Division IN (

    'Central Admin'

    , 'Central Admin SVS'

    , 'eCommerce'

    , 'Historical'

    )

    GROUP BY Grouping_Level ) p

    UNPIVOT

    (  

    Value FOR Category IN ( MTDValue, MTDTarget, DEValue, DETarget

    )

    ) AS unpiv

  • Bump - can anyone help please?

  • You haven't gotten a response, because you haven't supplied readily consumable sample data and expected results.  (A picture is not consumable.)  If you follow the instructions in the first link in my signature, people would be more willing to help.

    Drew

    J. Drew Allen
    Business Intelligence Analyst
    Philadelphia, PA

Viewing 3 posts - 1 through 3 (of 3 total)

You must be logged in to reply to this topic. Login to reply