gemiddelde verkoop van kwartaal met vorige kwartaal gemiddelde verkoop

Bewerkt met de laatste vereisten.

Uw probleem is dat u de previous_avg probeert te krijgen door QTR en YEAR te manipuleren. Ik gebruik de RANK-functie en bestel de manier waarop ik de gegevens wil rangschikken. In de joins zorg ik ervoor dat gemiddelde regio =vorige regio en het jaar sinds het vorige kwartaal buiten beschouwing gelaten zou kunnen zijn Q4 van het voorgaande jaar voor gemiddeld jaar Q1; het is op deze manier schoner.

    --Build the test table
    IF OBJECT_ID('SALES','U') IS NOT NULL
        DROP TABLE SALES

    CREATE TABLE SALES
    (
          Region  VARCHAR(255)
        , Product VARCHAR(10)
        , [Year]  INT
        , QTR     INT
        , [Month] VARCHAR(19)
        , Sales   DECIMAL(19,4)
    );

    INSERT SALES
    VALUES
         ('NORTH', 'P1', 2015, 1, 'JAN', 1000)
        ,('NORTH', 'P1', 2015, 1, 'FEB', 2000)
        ,('NORTH', 'P1', 2015, 1, 'MAR', 3000)
        ,('NORTH', 'P1', 2015, 2, 'APR', 4000)
        ,('NORTH', 'P1', 2015, 2, 'MAY', 5000)
        ,('NORTH', 'P1', 2015, 2, 'JUN', 6000)
        ,('NORTH', 'P1', 2015, 3, 'JUL', 7000)
        ,('NORTH', 'P1', 2015, 3, 'AUG', 8000)
        ,('NORTH', 'P1', 2015, 3, 'SEP', 9000)
        ,('NORTH', 'P1', 2015, 4, 'OCT', 1000)
        ,('NORTH', 'P1', 2015, 4, 'DEC', 4000)
        ,('NORTH', 'P1', 2015, 4, 'NOV', 2000)
        ,('NORTH', 'P3', 2015, 1, 'FEB', 1000)
        ,('NORTH', 'P3', 2015, 1, 'FEB', 9000)
        ,('NORTH', 'P3', 2015, 2, 'APR', 2000)
        ,('NORTH', 'P3', 2015, 3, 'JUL', 8000)
        ,('NORTH', 'P1', 2016, 1, 'MAR', 3000)
        ,('NORTH', 'P1', 2016, 1, 'FEB', 1000)
        ,('NORTH', 'P1', 2016, 1, 'JAN', 2000)
        ,('SOUTH', 'P1', 2015, 1, 'JAN', 2000)
        ,('SOUTH', 'P1', 2015, 1, 'FEB', 3000)
        ,('SOUTH', 'P1', 2015, 1, 'JAN', 4000)
        ,('SOUTH', 'P2', 2015, 1, 'MAR', 1000)
        ,('SOUTH', 'P2', 2015, 1, 'JAN', 8000)
        ,('SOUTH', 'P2', 2015, 1, 'FEB', 9000)
        ,('SOUTH', 'P2', 2015, 2, 'JUN', 9000)
        ,('SOUTH', 'P2', 2015, 2, 'MAY', 8000)
        ,('SOUTH', 'P2', 2015, 2, 'APR', 2000)
        ,('SOUTH', 'P2', 2015, 3, 'SEP', 4000)
        ,('SOUTH', 'P2', 2015, 3, 'AUG', 2000)
        ,('SOUTH', 'P2', 2015, 3, 'JUL', 1000)
        ,('SOUTH', 'P2', 2015, 4, 'NOV', 2000)
        ,('SOUTH', 'P2', 2015, 4, 'DEC', 1000)
        ,('SOUTH', 'P2', 2015, 4, 'OCT', 5000)
        ,('SOUTH', 'P3', 2015, 3, 'AUG', 9000)
        ,('SOUTH', 'P3', 2015, 4, 'OCT', 1000)
        ,('SOUTH', 'P3', 2015, 4, 'NOV', 3000)
        ,('SOUTH', 'P2', 2016, 1, 'JAN', 2000)
        ,('SOUTH', 'P2', 2016, 1, 'JAN', 4000);


    --CTE TO CAPTURE AVG SALES BY REGION, PRODCUT, YEAR, QTR;  OMIT PRODUCT IF YOU WANT STRAIGHT UP QUARTER AVG, REGARDLESS OF PRODCUCT
    WITH cteAvgSales AS
    (
        SELECT Region, Product, [Year], QTR, AVG(Sales) current_avg
            , RANK() OVER(ORDER BY Region, Product, [Year], QTR) AS RNK
        FROM SALES
        GROUP BY Region, Product, [Year], QTR
    )
    SELECT s.Region, s.Product, s.[Year] AS [year], s.QTR AS [quarter], s.[Month], s.Sales, a.current_avg, p.current_avg AS previous_avg
    FROM SALES s
        INNER JOIN cteAvgSales a ON a.Region = s.Region
            AND a.Product = s.Product
            AND a.[Year]  = s.[Year]
            AND a.QTR = s.QTR
        LEFT JOIN cteAvgSales p ON p.Region = a.Region
            AND p.Product = s.Product
            AND p.RNK=a.RNK-1
    ORDER BY s.Region, s.Product, s.[Year], s.QTR