基于多种条件的Power BI返回价值
我有下面的数据
create table #data (Post_Code varchar(10), Internal_Code varchar(10))
insert into #data values
('AB10','hb3'),('AB10','hb25'),('AB12','dd1'),('AB15','hb6'),('AB16','aa4'),('AB16','hb7'),
('AB16','aa2'),('AB16','ab9'),('AB18','rr6'),('AB18','rr9'),('AB18','hb10'),('AB20','rr15'),
('AB20','td2'),('AB21','hb8'),('AB21','cc4'),('AB21','cc4'),('AB24','td5'),('AB9','yy3'),
('RM2','CC1'),('RM6','hb6'),('RM7','cc2'),('SA24','rr1'),('SA24','hb5'),('SA24','rr2'),
('SA24','cc34'),('SE15','rr9'),('SE15','rr5'),('SE25','rr10'),('SE25','hb11'),('SE25','rr8'),
('SE25','rr1'),('LA15','rr2')
select * from #data
drop table #data
要实现的目标是,如果同一邮政编码区域具有“ HB”或“ RR”,我想返回1 else 1 else 0 0 如果“ HB”或“ RR”内部_Code在不同的邮政编码中,则必须在同一post_code中。 我应该
写这本dax,
Result = IF(left(Data[Internal_Code],2)="hb" || left(Data[Internal_Code],2)="rr",1,0)
它没有返回正确的结果
电流输出
预期输出
I have the data below
create table #data (Post_Code varchar(10), Internal_Code varchar(10))
insert into #data values
('AB10','hb3'),('AB10','hb25'),('AB12','dd1'),('AB15','hb6'),('AB16','aa4'),('AB16','hb7'),
('AB16','aa2'),('AB16','ab9'),('AB18','rr6'),('AB18','rr9'),('AB18','hb10'),('AB20','rr15'),
('AB20','td2'),('AB21','hb8'),('AB21','cc4'),('AB21','cc4'),('AB24','td5'),('AB9','yy3'),
('RM2','CC1'),('RM6','hb6'),('RM7','cc2'),('SA24','rr1'),('SA24','hb5'),('SA24','rr2'),
('SA24','cc34'),('SE15','rr9'),('SE15','rr5'),('SE25','rr10'),('SE25','hb11'),('SE25','rr8'),
('SE25','rr1'),('LA15','rr2')
select * from #data
drop table #data
What I want to achieve is if the same post code area have “hb” or “rr” in the same post code I want to return 1 else 0
The “hb” or “rr” internal_code must be in the same post_code if they in different post code. It should be 0
I wrote this DAX
Result = IF(left(Data[Internal_Code],2)="hb" || left(Data[Internal_Code],2)="rr",1,0)
it is not returning the correct result
current output
expected output
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我认为您的预期结果不正确,因为SA24也应该是1。您绝对应该在PQ中进行类似的计算,但是如果您需要在计算的列中DAX中进行此操作,则使用以下代码。
I think your expected result is incorrect as SA24 should also be 1. You should definitely do a calculation like this in PQ but if you need to do it in DAX in a calculated column, then use the following code which works.