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
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@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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@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
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