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Naresh91
Employee
Employee

How to count the lost category for each ID based on the statflag and Date

i have table like below and requirement is,
need to calculate the CategoryID for each Id whose ActiveFlag =1 and latest statflag is 0 and old statflag is 1

 

IDCategoryIDActiveflagstatflagcalenderDateCount
a1231104/14/20211
a1232114/14/20210
a1233114/14/20210
a1234114/14/20210
b2331101/1/20210
b2332101/1/20211
b2333111/1/20210
c2331111/1/20210
e3432112/6/20210
f2342102/6/20210
a1231112/6/20210
b2332112/6/20210
1 ACCEPTED SOLUTION

@Naresh91 , Try new column like

 

New column =
var _date = sumx(filter(Table, [ID] = earlier([ID]) && [CategoryID] =earlier([CategoryID]) && [calenderDate] <earlier([calenderDate])),[calenderDate])
var _statflag = sumx(filter(Table, [ID] = earlier([ID]) && [CategoryID] =earlier([CategoryID]) && [calenderDate] =_date),[statflag])
return
if([statflag] =0 && _statflag= 1, 1,0)

View solution in original post

3 REPLIES 3
amitchandak
Super User
Super User

@Naresh91 , Not very clear, can explain the output with examples

 

Hi @amitchandak ,

from the above data "a123" have statflag =1 for CategoryID 1 on "2/6/2021"
and "a123" have statflag =0 for CategoryID 1 on "4/14/2021"
 so it will consider as Lost ID and so count will be 1 

similar way for "b233" have statflag =1 for CategoryID 2 on "2/6/2021"
and "b233" have statflag =0 for CategoryID 2 on "1/1/2021"
so here also count is 1

 

so like this for the above data Lost count will be 2 as "a123" and "b233" lost their one CatogeryId  

 

 

@Naresh91 , Try new column like

 

New column =
var _date = sumx(filter(Table, [ID] = earlier([ID]) && [CategoryID] =earlier([CategoryID]) && [calenderDate] <earlier([calenderDate])),[calenderDate])
var _statflag = sumx(filter(Table, [ID] = earlier([ID]) && [CategoryID] =earlier([CategoryID]) && [calenderDate] =_date),[statflag])
return
if([statflag] =0 && _statflag= 1, 1,0)

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