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Hi All,
I am getting crazy by a weird behaviour of SELECTCOLUMNS with some - but not all - tables in my dataset.
Since I need to split my data on a yearly basis, I use SC to create a new table with just required columns.
The problem is that same formula produces different outcomes:
- in some cases, values are entered in respective columns (2020 values in 2020 col, 2021 values in 2021 col, and so on)
- in other cases, the same formula has sum up all values of respective years, then populated the new table with these totals
For sure I am doing something wrong, but I just can't figure out where...
Many thanks in advance to whose can provide any help/hint.
expected outcome
weird behaviour
Solved! Go to Solution.
Hi All,
for all those interested, root cause and solution of the issue can be found in this post: Same Formula applied on identical Tables gives different outcome
Hi All,
for all those interested, root cause and solution of the issue can be found in this post: Same Formula applied on identical Tables gives different outcome
@Anonymous , Use summarize
example
summarize(Table, Table[Date], "2020", calculate(sum(Table[Value]), filter(Table, Table[Year] =2020) )
, "2021", calculate(sum(Table[Value]), filter(Table, Table[Year] =2021) )
, "2022", calculate(sum(Table[Value]), filter(Table, Table[Year] =2022) ))
thanks for your reply; however, though your solution works for different purposes, I don't need the years' totals but all the rows for the same period (see picture 'expected outcome').
In addition, please note that the same logic works with some tables but not with others, so I wonder whether the problem is not in which formula is going to use but in the data/table; here is were I am getting lost.
not the expected result
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