那些遇到过的问题

从数据集SQL创建趋势线

PRN*_*ios 6 sql math linear-regression visual-studio

下面的代码返回已解决的票证数量以及一段时间(期间为YYYY,WW)的特定天数的已打开票证数量.例如,如果@NoOfDays为7:

解决了| 打开| 一周| 一年| 期

56 | 30 | 13 | 2012 | 2012年,13

237 | 222 | 14 | 2012 | 2012年,14

"已解决"和"已打开"在时间段(x)上的行(y)上绘制.我想添加另一个列'趋势',它将返回一个数字,当绘制一段时间时,将成为趋势线(简单线性回归).我确实希望将这两组值用作趋势的一个数据源.

这是我的代码:

SELECT a.resolved, b.opened, a.weekClosed AS week, a.yearClosed AS year,
    CAST(a.yearClosed as varchar(5)) + ', ' + CAST(a.weekClosed as varchar(5)) AS period
FROM 
    (SELECT TOP (100) PERCENT COUNT(DISTINCT TicketNbr) AS resolved, { fn WEEK(date_closed) } AS weekClosed, { fn YEAR(date_closed) } AS yearClosed
    FROM v_rpt_Service
    WHERE (date_closed >= DateAdd(Day, DateDiff(Day, 0, GetDate()) - @NoOfDays, 0))
    GROUP BY { fn WEEK(date_closed) }, { fn YEAR(date_closed) }) AS a 
LEFT OUTER JOIN
    (SELECT TOP (100) PERCENT COUNT(DISTINCT TicketNbr) AS opened, { fn WEEK(date_entered) } AS weekEntered, { fn YEAR(date_entered) 
    } AS yearEntered
    FROM v_rpt_Service AS v_rpt_Service_1
    WHERE        (date_entered > = DateAdd(Day, DateDiff(Day, 0, GetDate()) - @NoOfDays, 0))
    GROUP BY { fn WEEK(date_entered) }, { fn YEAR(date_entered) }) AS b ON a.weekClosed = b.weekEntered AND a.yearClosed = b.yearEntered
ORDER BY year, week
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编辑:

根据serc.carleton.edu/files/mathyouneed/best_fit_line_dividing.pdf,似乎我想将数据分成两半,然后计算平均值.然后我需要找到最佳拟合线,并使用斜率和y轴截距来计算使用"趋势"返回所需的值y = mx + b？

我知道这在SQL中很有可能,但是,我插入SQL的程序对我能做的事情有局限性.

红色和蓝色点是我现在返回的数字(打开并解决).我需要为'趋势'中的每个句点返回一个值,以便创建紫色线.(这个图像是假设的)

假设图表

Phi*_*ley 5

我对这个问题很感兴趣，我发现理解复杂查询的最好方法是使用我自己的风格和约定重新格式化它。我将它们应用于您的解决方案，结果如下。我不知道这对你是否有任何价值......

  • 有几段代码我认为不是 MS T-SQL 语法的一部分，例如({fn xxx }和WEEK(xxx)函数。
  • 这段代码可以编译，但我无法运行它，因为我没有正确配置数据表。
  • 我进行了大量的编码更改，这些更改需要大量解释，我将跳过其中的大部分内容。如果您想解释任何内容，请添加评论。
  • 我扔了很多空白。易读和难以辨认的代码之间的区别通常只是旁观者的感知和感受，您可能会讨厌我的约定俗成。
  • 不确定最终结果集应该是什么（即返回哪些列）

一些进一步的说明：

  • 如果一周内没有物品也关闭，则此查询将不会获取一周内输入的物品
  • 周可能是部分的，例如，并非所有 7 天都存在（将 @Interval 调整为始终包括整周——但奇数间隔呢？）
  • 将 count(*) 值乘以 1.0 以尽早将它们转换为浮点数（避免强制转换和整数数学截断）
  • 使其成为允许早期公式被后期公式中的符号替换的 cte（此时事情变得更加清晰）

所以这就是我想出的：

;WITH cte as (
select
   c.period
  ,resolved_half1
  ,resolved_half2
  ,opened_half1
  ,opened_half2
  ,row = row_number() over(order by c.yearClosed, c.weekClosed)
  ,y1 = ((SUM(resolved_half1) + SUM(opened_half1)) - (SUM(resolved_half2) + SUM(opened_half2))) / ((count(resolved_half1) + count(opened_half1)) / 2)
  ,y2 = ((SUM(resolved_half2) + SUM(opened_half2)) / (count(resolved_half2) + COUNT (opened_half2)))
  ,x1 = ((count(c.period)) / 4)
  ,x2 = (((count(c.period)) / 4) * 3)
 from (select
          a.yearclosed
         ,a.weekClosed
         ,a.resolved_half1
         ,b.yearEntered
         ,b.weekEntered
         ,b.opened_half1
         ,cast(a.yearClosed as varchar(5)) + ', ' + cast(a.weekClosed as varchar(5))  period 
        from (--  Number of items per week that closed within @Interval
              select
                 count(distinct TicketNbr) * 1.0  resolved_half1
                ,datepart(wk, date_closed)        weekClosed
                ,year(date_closed)                yearClosed
               from v_rpt_Service 
               where date_closed >= @FullInterval
               group by
                 datepart(wk, date_closed)
                ,year(date_closed) )  a
         left outer join (--  Number of items per week that were entered within @Interval
                          select 
                             count(distinct TicketNbr) * 1.0  opened_half1
                            ,datepart(wk, date_entered)       weekEntered
                            ,year(date_entered)               yearEntered
                           from v_rpt_Service
                           where date_entered >= @FullInterval
                           group by
                             datepart(wk, date_entered)
                            ,year(date_entered) )  b
          on a.weekClosed = b.weekEntered 
           and a.yearClosed = b.yearEntered)  c
  left outer join (select
                       d.yearclosed
                      ,d.weekClosed
                      ,d.resolved_half2
                      ,e.yearEntered
                      ,e.weekEntered
                      ,e.opened_half2
                      ,cast(yearClosed as varchar(5)) + ', ' + cast(weekClosed as varchar(5))  period 
                    from (select
                             count(distinct TicketNbr) * 1.0  resolved_half2
                            ,datepart(wk, date_closed)        weekClosed
                            ,year(date_closed)                yearClosed
                           from v_rpt_Service
                           where date_closed >= @HalfInterval
                           group by
                             datepart(wk, date_closed) 
                            ,year(date_closed) )  d 
                     left outer join (select
                                         count(distinct TicketNbr) * 1.0  opened_half2
                                        ,datepart(wk, date_entered)       weekEntered
                                        ,year(date_entered)               yearEntered
                                       from v_rpt_Service
                                       where date_entered >= @HalfInterval
                                       group by
                                           datepart(wk, date_entered) 
                                          ,year(date_entered) )  e
                      on d.weekClosed = e.weekEntered
                       and d.yearClosed = e.yearEntered )  f
   on c.period = f.period 
 group by
   c.period
  ,resolved_half1
  ,resolved_half2
  ,opened_half1
  ,opened_half2
  ,c.yearClosed
  ,c.weekClosed
)
SELECT
   row
  ,Period
  ,x1
  ,y1
  ,x2
  ,y2
  ,m = ((y1 - y2) / (x1 - x2))
  ,b = (y2 - (((y1 - y2) / (x1 - x2)) * x2))
  ,trend = ((((y1 - y2) / (x1 - x2)) * (row)) + (y2 - (((y1 - y2) / (x1 - x2)) * x2)))
 from cte
 order by row
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作为附录，所有子查询“c”都可以用类似下面的内容替换，“f”可以用稍微修改的版本替换。性能的好坏取决于表大小、索引和其他不可估量的因素。

select
   datepart(wk, date_closed)  weekClosed
  ,year(date_closed)          yearClosed
  ,count (distinct case
                  when date_closed >= @FullInterval then TicketNbr
                  else null
                end)          resolved_half1
  ,count (distinct case
                  when date_entered >= @FullInterval then TicketNbr
                  else null
                end)          opened_half1
 from v_rpt_Service 
 where date_closed >= @FullInterval
  or date_entered >= @FullInterval
 group by
   datepart(wk, date_closed)
  ,year(date_closed)
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PRN*_*ios 1

我想到了。我将数据分为多个派生表和子查询，实质上将数据分成两半。这些是我获取每个值的公式：

*(each row is a week)*
y1 = average of data first half
y2 = average of data second half
x1 = 1/4 of number of weeks
x2 = 3/4 of number of weeks
m = (y1-y2)/(x1-x2)
b = y2 - (m * x2)
trend = (m * row_number) + b
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这是我的（非常脏的）SQL 代码：

SELECT  resolved_half1,resolved_half2,opened_half1,opened_half2, c.period,
((SUM (resolved_half1) OVER () + SUM(opened_half1) OVER ()) - (SUM(resolved_half2) OVER () + SUM(opened_half2) OVER ())) / ((COUNT(resolved_half1) OVER () + COUNT(opened_half1) OVER ()) / 2) as y1, 
((SUM(resolved_half2) OVER () + SUM(opened_half2) OVER ()) / (COUNT(resolved_half2) OVER () + COUNT (opened_half2) OVER ())) as y2,
((COUNT(c.period) OVER ()) / 4) as x1,
(((COUNT(c.period) OVER ()) / 4) * 3) as x2,
((CAST(((SUM (resolved_half1) OVER () + SUM(opened_half1) OVER ()) - (SUM(resolved_half2) OVER () + SUM(opened_half2) OVER ())) / ((COUNT(resolved_half1) OVER () + COUNT(opened_half1) OVER ()) / 2) as float) - CAST(((SUM(resolved_half2) OVER () + SUM(opened_half2) OVER ()) / (COUNT(resolved_half2) OVER () + COUNT (opened_half2) OVER ())) as float)) / (CAST(((COUNT(c.period) OVER ()) / 4) as float) - CAST( (((COUNT(c.period) OVER ()) / 4) * 3) as float))) as m,
(CAST(((SUM(resolved_half2) OVER () + SUM(opened_half2) OVER ()) / (COUNT(resolved_half2) OVER () + COUNT (opened_half2) OVER ())) as float) - (((CAST(((SUM (resolved_half1) OVER () + SUM(opened_half1) OVER ()) - (SUM(resolved_half2) OVER () + SUM(opened_half2) OVER ())) / ((COUNT(resolved_half1) OVER () + COUNT(opened_half1) OVER ()) / 2) as float) - CAST(((SUM(resolved_half2) OVER () + SUM(opened_half2) OVER ()) / (COUNT(resolved_half2) OVER () + COUNT (opened_half2) OVER ())) as float)) / (CAST(((COUNT(c.period) OVER ()) / 4) as float) - CAST( (((COUNT(c.period) OVER ()) / 4) * 3) as float))) * (((COUNT(c.period) OVER ()) / 4) * 3))) as b,
((((CAST(((SUM (resolved_half1) OVER () + SUM(opened_half1) OVER ()) - (SUM(resolved_half2) OVER () + SUM(opened_half2) OVER ())) / ((COUNT(resolved_half1) OVER () + COUNT(opened_half1) OVER ()) / 2) as float) - CAST(((SUM(resolved_half2) OVER () + SUM(opened_half2) OVER ()) / (COUNT(resolved_half2) OVER () + COUNT (opened_half2) OVER ())) as float)) / (CAST(((COUNT(c.period) OVER ()) / 4) as float) - CAST( (((COUNT(c.period) OVER ()) / 4) * 3) as float))) * (ROW_NUMBER() OVER(ORDER BY c.yearClosed,c.weekClosed))) + (CAST(((SUM(resolved_half2) OVER () + SUM(opened_half2) OVER ()) / (COUNT(resolved_half2) OVER () + COUNT (opened_half2) OVER ())) as float) - (((CAST(((SUM (resolved_half1) OVER () + SUM(opened_half1) OVER ()) - (SUM(resolved_half2) OVER () + SUM(opened_half2) OVER ())) / ((COUNT(resolved_half1) OVER () + COUNT(opened_half1) OVER ()) / 2) as float) - CAST(((SUM(resolved_half2) OVER () + SUM(opened_half2) OVER ()) / (COUNT(resolved_half2) OVER () + COUNT (opened_half2) OVER ())) as float)) / (CAST(((COUNT(c.period) OVER ()) / 4) as float) - CAST( (((COUNT(c.period) OVER ()) / 4) * 3) as float))) * (((COUNT(c.period) OVER ()) / 4) * 3)))) as trend,
ROW_NUMBER() OVER(ORDER BY c.yearClosed,c.weekClosed) as row

FROM
    (SELECT *, CAST(yearClosed as varchar(5)) + ', ' + CAST(weekClosed as varchar(5)) AS period
     FROM  (SELECT        TOP (100) PERCENT COUNT(DISTINCT TicketNbr) AS resolved_half1, { fn WEEK(date_closed) } AS weekClosed, { fn YEAR(date_closed) } AS yearClosed
                          FROM            v_rpt_Service
      WHERE (date_closed >= DateAdd(Day, DateDiff(Day, 0, GetDate()) - (180), 0))

      GROUP BY { fn WEEK(date_closed) }, { fn YEAR(date_closed) }) AS a 
      LEFT OUTER JOIN
      (SELECT TOP (100) PERCENT COUNT(DISTINCT TicketNbr) AS opened_half1, { fn WEEK(date_entered) } AS weekEntered, { fn YEAR(date_entered) 
       FROM v_rpt_Service AS v_rpt_Service_1
       WHERE (date_entered > = DateAdd(Day, DateDiff(Day, 0, GetDate()) - (180), 0))
       GROUP BY { fn WEEK(date_entered) }, { fn YEAR(date_entered) }) AS b ON a.weekClosed = b.weekEntered AND a.yearClosed = b.yearEntered) as c 
       LEFT OUTER JOIN
       (SELECT *, CAST(yearClosed as varchar(5)) + ', ' + CAST(weekClosed as varchar(5)) AS period 
       FROM  (SELECT TOP (100) PERCENT COUNT(DISTINCT TicketNbr) AS resolved_half2, { fn WEEK(date_closed) } AS weekClosed, { fn YEAR(date_closed) } AS yearClosed
       FROM v_rpt_Service
       WHERE (date_closed >= DateAdd(Day, DateDiff(Day, 0, GetDate()) - (180 / 2), 0))
       GROUP BY { fn WEEK(date_closed) }, { fn YEAR(date_closed) }) AS d 
       LEFT OUTER JOIN
       (SELECT TOP (100) PERCENT COUNT(DISTINCT TicketNbr) AS opened_half2, { fn WEEK(date_entered) } AS weekEntered, { fn YEAR(date_entered)} AS yearEntered
       FROM v_rpt_Service AS v_rpt_Service_1
       WHERE (date_entered > = DateAdd(Day, DateDiff(Day, 0, GetDate()) - (180 / 2), 0))
       GROUP BY { fn WEEK(date_entered) }, { fn YEAR(date_entered) }) AS e ON d.weekClosed = e.weekEntered AND d.yearClosed = e.yearEntered
) as f ON c.yearClosed = f.yearClosed AND c.weekClosed = f.weekClosed AND c.weekEntered = f.weekEntered AND c.yearEntered = f.yearEntered AND c.period = f.period
GROUP BY c.period, resolved_half1,resolved_half2,opened_half1,opened_half2,c.yearClosed,c.weekClosed
ORDER BY row
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此代码使用 180 天的硬编码值。我仍然需要能够使用变量来选择天数（不会出现除以 0 的错误），并且代码确实需要清理。如果有人可以为我做这两件事（我不是 SQL 方面最好的），那么赏金就是他们的。

图像：

图表

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