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

[Naresh91]

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

ID	CategoryID	Activeflag	statflag	calenderDate	Count
a123	1	1	0	4/14/2021	1
a123	2	1	1	4/14/2021	0
a123	3	1	1	4/14/2021	0
a123	4	1	1	4/14/2021	0
b233	1	1	0	1/1/2021	0
b233	2	1	0	1/1/2021	1
b233	3	1	1	1/1/2021	0
c233	1	1	1	1/1/2021	0
e343	2	1	1	2/6/2021	0
f234	2	1	0	2/6/2021	0
a123	1	1	1	2/6/2021	0
b233	2	1	1	2/6/2021	0

[amitchandak]

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

[Naresh91]

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  

[amitchandak · 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)