如何复制累积字段

How to replicate a cumulative field

我正在尝试从我在 Datastudio 内部准备的 XLS 中复制数据,

维度是 YYYYMM,输出是 MonthlyRate。 基本上 CumulativeResponse/CumulativeMeetings = MonthlyRate

如何在Datastudio中准备计算字段和图表?

我当前使用的计算字段是 Sum(Response) / Count(Meetings) 并使用维度 YYYYMM(YearMonth)。 场均 运行,但最终结果略有偏差。 例如 201809 0.45 变为 0.47.

以下示例适用于 BigQuery 标准 SQL

#standardSQL
WITH `project.dataset.table` AS (
  SELECT '201712' yyyymm, 4580 SumResponse, 6741 CountMeetings UNION ALL
  SELECT '201801', 3574, 6926 UNION ALL
  SELECT '201802', 2020, 6433 UNION ALL
  SELECT '201803', 1895, 6635 UNION ALL
  SELECT '201804', 2174, 6163 UNION ALL
  SELECT '201805', 3058, 7697 UNION ALL
  SELECT '201806', 3313, 7838 UNION ALL
  SELECT '201807', 4043, 8586 UNION ALL
  SELECT '201808', 5053, 9355 UNION ALL
  SELECT '201809', 1122, 1300 
)
SELECT 
  yyyymm, 
  SumResponse, 
  SUM(SumResponse) OVER(ORDER BY yyyymm) CumulativeResponse , 
  CountMeetings,
  SUM(CountMeetings) OVER(ORDER BY yyyymm) CumulativeMeetings,
  SUM(SumResponse) OVER(ORDER BY yyyymm)/SUM(CountMeetings) OVER(ORDER BY yyyymm) MonthlyRate 
FROM `project.dataset.table`
ORDER BY yyyymm   

结果:

Row yyyymm  SumResponse CumulativeResponse  CountMeetings   CumulativeMeetings  MonthlyRate  
1   201712  4580        4580                6741            6741                0.6794244177421748   
2   201801  3574        8154                6926            13667               0.596619594644033    
3   201802  2020        10174               6433            20100               0.5061691542288557   
4   201803  1895        12069               6635            26735               0.45143070880867775  
5   201804  2174        14243               6163            32898               0.4329442519302085   
6   201805  3058        17301               7697            40595               0.4261854908239931   
7   201806  3313        20614               7838            48433               0.4256188962071315   
8   201807  4043        24657               8586            57019               0.4324348024342763   
9   201808  5053        29710               9355            66374               0.4476150299816193   
10  201809  1122        30832               1300            67674               0.4555959452670154