Forum Discussion
Simple Like for like analysis
Hello Guys,
I am faced with a classic like for like problem.
I have a set of stores data, and would like to create a column where I can flag which store is "like for like", which one has been closed, which one has been opened from one year to another. See below example.
In my simple mind it is something like: IF StoreID is found in both years then Like for Like; if StoreID is found only in 2021 is Closed; if StoreID only in 2022 is new.
Only thing... I cannot translate this in DAX.
Thanks a lot for your help!
Mario
| Year | StoreID | Sales | Status |
| 2021 | Store_1 | 10 | Like for like |
| 2022 | Store_1 | 10 | Like for like |
| 2022 | Store_2 | 10 | Open |
| 2021 | Store_3 | 10 | Closed |
Hi MarioA ,
try this calculated column
Column = VAR MaxYear = MAX('Facts9'[Year]) RETURN SWITCH(TRUE(), COUNTROWS( FILTER( 'Facts9', 'Facts9'[StoreID] = EARLIER('Facts9'[StoreID]) )) > 1, "Like for like", 'Facts9'[Year] = MaxYear,"Open", 'Facts9'[Year] < MaxYear,"Close" )If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
3 Replies
- mangaus1111Solution Sage
Hi MarioA ,
do you need a measure or a calculated column?
- MarioANew Member
One of the two would work - I am also open to suggestion on wether to utilise one or the other! Thanks a lot for your reply!
- mangaus1111Solution Sage
Hi MarioA ,
try this calculated column
Column = VAR MaxYear = MAX('Facts9'[Year]) RETURN SWITCH(TRUE(), COUNTROWS( FILTER( 'Facts9', 'Facts9'[StoreID] = EARLIER('Facts9'[StoreID]) )) > 1, "Like for like", 'Facts9'[Year] = MaxYear,"Open", 'Facts9'[Year] < MaxYear,"Close" )If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.