Sql server 2008 路径分析web数据

我正在对我的原始网络分析数据进行一些分析，并试图在我的网站上找到常见的购物路径。我已将所有数据迁移到一个整洁的表/脚本中，如下所示：

[订单ID]：非唯一VARCHAR（A1000、A1001等）

[访问路径中的路径]：数字（1,2,3,4,5等）

[剩余访问量]：数字（1,2,3,4,5等）

[频道]：VARCHAR（直接/电子邮件/显示/付费搜索/免费搜索）

我希望得到的是路径数，因此，例如，使用just ORDER_ID ABC123，我可能会得到以下结果：

计数/访问路径中的路径1/访问路径中的路径2/访问路径中的路径3/访问路径中的路径4/访问路径中的路径5 1/免费搜索/免费搜索/直接/免费搜索/直接

我对SQL非常陌生，我的第一个想法是某种轴心，但每次我接近它时，我都会遇到一堵墙，在那里必须定义每种可能性

当然有更好更简单的方法吗

CREATE TABLE [dbo].[DummyPaths](
                                    [ORDER_ID] [varchar](64) NULL,
                                    [VISIT_IN_PATH] [bigint] NULL,
                                    [VISIT_REMAINING] [bigint] NULL,
                                    [MARKETING_CHANNEL] [varchar](256) NULL
                                )
GO

INSERT INTO DummyPaths (ORDER_ID,VISIT_IN_PATH,VISIT_REMAINING,MARKETING_CHANNEL)
VALUES      ('ABC123','1','5','FREE SEARCH'),
            ('ABC123','2','4','FREE SEARCH'),
            ('ABC123','3','3','DIRECT'),
            ('ABC123','4','2','FREE SEARCH'),
            ('ABC123','5','1','DIRECT'),
            ('ABC124','1','5','OTHER REFERRAL'),
            ('ABC124','2','4','OTHER REFERRAL'),
            ('ABC124','3','3','OTHER REFERRAL'),
            ('ABC124','4','2','OTHER REFERRAL'),
            ('ABC124','5','1','OTHER REFERRAL'),
            ('ABC125','1','5','DIRECT'),
            ('ABC125','2','4','AFFILIATE'),
            ('ABC125','3','3','AFFILIATE'),
            ('ABC125','4','2','AFFILIATE'),
            ('ABC125','5','1','AFFILIATE'),
            ('ABC126','1','5','EMAIL'),
            ('ABC126','2','4','EMAIL'),
            ('ABC126','3','3','DIRECT'),
            ('ABC126','4','2','DIRECT'),
            ('ABC126','5','1','DIRECT'),
            ('ABC127','1','5','FREE SEARCH'),
            ('ABC127','2','4','DIRECT'),
            ('ABC127','3','3','DIRECT'),
            ('ABC127','4','2','FREE SEARCH'),
            ('ABC127','5','1','DIRECT'),
            ('ABC128','1','5','DIRECT'),
            ('ABC128','2','4','EMAIL'),
            ('ABC128','3','3','EMAIL'),
            ('ABC128','4','2','EMAIL'),
            ('ABC128','5','1','DIRECT'),
            ('ABC129','1','5','FREE SEARCH'),
            ('ABC129','2','4','FREE SEARCH'),
            ('ABC129','3','3','FREE SEARCH'),
            ('ABC129','4','2','FREE SEARCH'),
            ('ABC129','5','1','DIRECT')

我将非常感谢任何帮助

---

谢谢

我一直在玩这个游戏，发现以下方法很有效：

with        dataset
as
(
select  ORDER_ID
        ,[1] as 'VISIT1'
        ,[2] as 'VISIT2'
        ,[3] as 'VISIT3'
        ,[4] as 'VISIT4'
        ,[5] as 'VISIT5'                
from 
(
  select order_id, visit_in_path, MARKETING_CHANNEL
  from dummypaths
) x
pivot
(
  min(MARKETING_CHANNEL)
  for visit_in_path in ([1], [2], [3], [4], [5])
) p
) 


select      x.VISIT1
            ,x.VISIT2
            ,x.VISIT3
            ,x.VISIT4
            ,x.VISIT5
            ,MAX(dupes) as 'count'
from
(
select      
            VISIT1
            ,VISIT2
            ,VISIT3
            ,VISIT4
            ,VISIT5
            ,ROW_NUMBER() over 
                            (partition by    VISIT1
                                            ,VISIT2
                                            ,VISIT3
                                            ,VISIT4
                                            ,VISIT5
                            order by        VISIT1 asc
                            ) as 'dupes'
from dataset
) x
group by    x.VISIT1
            ,x.VISIT2
            ,x.VISIT3
            ,x.VISIT4
            ,x.VISIT5