计算数据透视表内的标准偏差 [英] calculate standard deviation inside pivot table

问题描述

我有一个如下所示的数据透视查询，获取行的count和AVG效果很好，但没有标准差STD.

I have a pivot query that looks like below, getting the count and AVG of rows that works just fine, but not standard deviation, STD.

如何修改下面的SQL以获取STD?

How may I modify the SQL below to get the STD?

SELECT mid                             as mID,
   round((x.qty_sum / x.qty_count), 5) as qtAVG,
   round(x.qty_stddev, 5)              as qtSTDDEV,
   x.qty_count                         as qtCOUNT,
   round((x.rel_sum / x.rel_count), 5) as relAVG,
   round(x.rel_stddev, 5)              as relSTDDEV,
   x.rel_count                         as relCOUNT,
FROM (SELECT mid,
         SUM(CASE WHEN (mt = "qt") THEN 1 ELSE 0 END)   as qty_count,
         SUM(CASE WHEN (mt = "qt") THEN rt ELSE 0 END)  as qty_sum,
         STD(CASE WHEN (mt = "qt") THEN rt ELSE 0 END)  as qty_stddev
         SUM(CASE WHEN (mt = "rel") THEN 1 ELSE 0 END)  as rel_count,
         SUM(CASE WHEN (mt = "rel") THEN rel ELSE 0 END) as rel_sum,
         STD(CASE WHEN (mt = "rel") THEN rel ELSE 0 END) as rel_stddev
  FROM t_r
  GROUP BY mid) x;

推荐答案

我认为您唯一的问题是ELSE 0.您只需要NULL值，因为它们将被忽略:

I think your only problem is the ELSE 0. You simply want NULL values, because they will be ignored:

SELECT mid                                 as mID,
       round((x.qty_sum / x.qty_count), 5) as qtAVG,
       round(x.qty_stddev, 5)              as qtSTDDEV,
       x.qty_count                         as qtCOUNT,
       round((x.rel_sum / x.rel_count), 5) as relAVG,
       round(x.rel_stddev, 5)              as relSTDDEV,
       x.rel_count                         as relCOUNT,
FROM (SELECT mid,
             SUM( mt = 'qt' )   as qty_count,
             SUM(CASE WHEN mt = 'qt' THEN rt END)  as qty_sum,
             STD(CASE WHEN mt = 'qt' THEN rt END)  as qty_stddev,
             SUM( mt = 'rel' ) as rel_count,
             SUM(CASE WHEN mt = 'rel' THEN rel END) as rel_sum,
             STD(CASE WHEN mt = 'rel' THEN rel END) as rel_stddev
      FROM t_r
      GROUP BY mid
     ) x;

请注意其他一些更改:

• 我简化了计数逻辑，以删除CASE表达式.它使用MySQL扩展，将布尔值视为数字，其中1为true，0为false.
• 我用双引号替换了双引号.单引号是字符串的标准分隔符.
• 我删除了ELSE子句.聚合函数会忽略NULL值，因此这应该可以解决您的问题.

• I simplified the logic for the counts, to remove the CASE expression. This uses a MySQL extension that treats booleans as numbers with 1 for true and 0 for false.
• I replaced the double quotes with single quotes. Single quotes are the standard delimiter for strings.
• I removed the ELSE clauses. Aggregation functions ignore NULL values, so this should fix your problem.

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