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
每個月都包含所有38,30或31天 - 但爲了方便示例,我只展示了上述數據的第一天。同一行中的行的計算SQL Server Management Studio
下面是我期待實現了輸出的一個例子:
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% |
正如上面提到的,這個數據是每日追溯到多年。非常感謝所有幫助!
感謝一噸就是超近。看起來實際的計算列是關閉的。當我將其插入到實際數據中時,它會提取正確的日期,但它不會計算根據去年日期更改的年份 – ls101
這有意義嗎? – ls101
你得到什麼問題? –