Question

Business Unit |  Date  | Sales
North America | 5/1/17 | 5,000
North America | 4/1/17 | 4,000
North America | 3/1/17 | 3,000
North America | 2/1/17 | 2,000
North America | 1/1/17 | 1,000
          ............
North America | 5/1/16 | 4,000
North America | 4/1/16 | 3,000
North America | 3/1/16 | 2,000
North America | 2/1/16 | 2,000
North America | 1/1/16 |   500
         ............
Asia          | 5/1/17 | 5,000
Asia          | 4/1/17 | 2,000
Asia          | 3/1/17 | 1,000
Asia          | 2/1/17 | 3,000
Asia          | 1/1/17 | 1,500
          ............
Asia          | 5/1/16 | 4,000
Asia          | 4/1/16 | 2,000
Asia          | 3/1/16 |   500
Asia          | 2/1/16 | 1,500
Asia          | 1/1/16 | 1,000

每个月包含所有38天，30天或31天 - 但为了便于举例，我只是展示了上述数据中的第一天。

以下是我希望实现的输出示例：

Business Unit |  Date  | Sales | Year over Year Change |
North America | 5/1/17 | 5,000 |           25%         |
North America | 4/1/17 | 4,000 |           33%         |
North America | 3/1/17 | 3,000 |           50%         |
North America | 2/1/17 | 2,000 |            0%         |
North America | 1/1/17 | 1,000 |           50%         |
          ............
North America | 5/1/16 | 4,000 |           xx%         |
North America | 4/1/16 | 3,000 |           xx%         |
North America | 3/1/16 | 2,000 |           xx%         |
North America | 2/1/16 | 2,000 |           xx%         |
North America | 1/1/16 |   500 |           xx%         |
         ............
Asia          | 5/1/17 | 5,000 |           25%         |
Asia          | 4/1/17 | 2,000 |            0%         |
Asia          | 3/1/17 | 1,000 |          100%         |
Asia          | 2/1/17 | 3,000 |          100%         |
Asia          | 1/1/17 | 1,500 |           50%         |
          ............
Asia          | 5/1/16 | 4,000 |           xx%         |
Asia          | 4/1/16 | 2,000 |           xx%         |
Asia          | 3/1/16 |   500 |           xx%         |
Asia          | 2/1/16 | 1,500 |           xx%         |
Asia          | 1/1/16 | 1,000 |           xx%         |

如上所述，这些数据是每日发布的，可以追溯到多年。非常感谢您提供任何帮助！

Answer 1

您可以查询如下：

Select coalesce(lastyear.[Business Unit], currentyear.[Business Unit]) as BusinessUnit, currentyear.[date], lastyear.[date] as [LastYear Date],
    Format((1-(lastyear.Sales*1.0)/currentyear.Sales), 'p') 
from #yoydata lastyear
left join #yoydata currentyear
on lastyear.[date] = dateadd(yy,-1,currentyear.[date])
and lastyear.[Business Unit] = currentyear.[Business Unit]

Answer 2

SELECT
    COALESCE(lastyear.[bu], currentyear.[bu]) AS BusinessUnit
    , currentyear.[dt]
    , lastyear.[dt]                             AS [LastYear Date]
    , Format((1-(lastyear.Sales*1.0)/currentyear.Sales), 'p') 
FROM
    #yoydata lastyear 
        LEFT JOIN #yoydata currentyear  ON lastyear.[dt] = dateadd(yy,-1,currentyear.[dt]) 
                                            AND lastyear.bu = currentyear.bu

同一列SQL Server Management Studio中的行计算

2 个答案: