我有这个数据集,我试图为下面的数据创建一个数据透视表。我试图为每种类型的日期输入时遇到一些问题。
Member ID Type Date
1 A 12/5/2014
1 b 3/6/2014
2 a 6/9/2015
2 b 3/2/2015
2 c 6/1/2014
3 a 6/5/2014
3 c 7/6/2014
4 c 9/13/2014
5 a 7/25/2014
5 b 6/24/2014
5 c 2/24/2014
然后
我希望它能作为数据透视表出现,如下所示:
Member ID A A date B B date c C date
1 Yes 12/5/2014 yes 3/6/2014 Null Null
2 Yes 6/9/2015 yes 3/2/2015 Yes 6/1/2014
3 Yes 6/5/2014 Null Null Yes 7/6/2014
4 Null Null Null Null Yes 9/13/2014
5 Yes 7/25/2014 yes 6/24/2014 Yes 2/24/2014
我到目前为止还不包括日期
SELECT
MemberID
,Type
--,Date
into #Test9
FROM [Data].[dbo].[Test]
我创建Temp表然后尝试在没有日期的情况下进行透视
Select *
From #Test9
Pivot ( count(type)
for type in (a]
,[b]
,[c])) as pvt
请有人帮忙。
答案 0 :(得分:1)
假设每个成员每个类型只有一个值,您可以使用条件聚合来获得所需的结果:
select
memberid,
max(case when type='a' then 'Yes' end) as "a",
max(case when type='a' then date end) as "a date",
max(case when type='b' then 'Yes' end) as "b",
max(case when type='b' then date end) as "b date",
max(case when type='c' then 'Yes' end) as "c",
max(case when type='c' then date end) as "c date"
from your_table
group by MemberID
如果您没有固定数量的类型,可以很容易地将其转换为动态查询; Stack Overflow上有很多很好的答案,它们演示了如何,包括我经常链接到的规范SQL Server Pivot question。
答案 1 :(得分:1)
试
declare @t table(memberid int,[type] char(1),[date] date)
insert into @t(MemberID,[Type],[Date]) values
( 1,'A','12/5/2014'),
(1,'b','3/6/2014'),
(2,'a','6/9/2015'),
(2,'b','3/2/2015'),
(2,'c','6/1/2014'),
(3,'a','6/5/2014'),
(3,'c','7/6/2014'),
(4,'c','9/13/2014'),
(5,'a','7/25/2014'),
(5,'b','6/24/2014'),
(5,'c','2/24/2014')
select memberid, case when len(a)>0 then 'Yes' end as [A date],a,
case when len(b)>0 then 'Yes' end as [B date],b,
case when len(c)>0 then 'Yes' end [c date] ,c from @t t
pivot( max([date]) for [type] in (a,b,c)) p