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I have to write Dax to make a calculated table which should collect all distinct years from date table and create something like this:
2018 2017
2018 2018
2019 2018
2019 2019
2020 2019
2020 2020
2021 2020
2021 2021
Please help, thanks
I want to have a calculated table
Solved! Go to Solution.
Well this was a fun question to answer because I had to think of a strategy to get 2 rows per unique year in the date table.
Anyway, I found a solution for you. I have a date table (DateTable2) from 1/1/2018 till 31/12/2022. THen I create the following calculated table for it:
CalcTable =
VAR _DateTableWIthYears = ADDCOLUMNS(DateTable2, "Year", YEAR([Date]))
VAR _rankedTable = ADDCOLUMNS(_DateTableWIthYears,
"RankWithinYear", RANKX(FILTER(_DateTableWIthYears, [Year] = EARLIER([Year])), [Date]))
VAR _filterTopTwoPerYear = FILTER(_rankedTable, [RankWithinYear] <3)
VAR _addPrevYear = ADDCOLUMNS(_filterTopTwoPerYear, "SecondColumn",
IF([RankWithinYear] = 1, [Year], [Year] -1))
RETURN
SELECTCOLUMNS(_addPrevYear, "Year1", [Year], "Year2", [SecondColumn])
This is not optimized but I wrote it like you could easily follow the logic behind it. It results in the following table:
Let me know if this works for you! 🙂
Kind regards
Djerro123
-------------------------------
If this answered your question, please mark it as the Solution. This also helps others to find what they are looking for.
Keep those thumbs up coming! 🙂
Proud to be a Super User!
Hi @JarroVGIT ,
Thanks for the answer.
Even I figured out a way to acheive this.
DateCYPY =
SELECTCOLUMNS (
ADDCOLUMNS (
GENERATEALL (
VALUES ( 'Date'[Year] ),
DATATABLE ( "type", STRING, { { "m" }, { "m-1" } } )
),
"visibleY", IF ( [type] = "m", VALUE ( 'Date'[Year] ), 'Date'[Year] - 1 )
),
"SelectedYear", 'Date'[Year],
"VisibleYear", [visibleY]
)
Well this was a fun question to answer because I had to think of a strategy to get 2 rows per unique year in the date table.
Anyway, I found a solution for you. I have a date table (DateTable2) from 1/1/2018 till 31/12/2022. THen I create the following calculated table for it:
CalcTable =
VAR _DateTableWIthYears = ADDCOLUMNS(DateTable2, "Year", YEAR([Date]))
VAR _rankedTable = ADDCOLUMNS(_DateTableWIthYears,
"RankWithinYear", RANKX(FILTER(_DateTableWIthYears, [Year] = EARLIER([Year])), [Date]))
VAR _filterTopTwoPerYear = FILTER(_rankedTable, [RankWithinYear] <3)
VAR _addPrevYear = ADDCOLUMNS(_filterTopTwoPerYear, "SecondColumn",
IF([RankWithinYear] = 1, [Year], [Year] -1))
RETURN
SELECTCOLUMNS(_addPrevYear, "Year1", [Year], "Year2", [SecondColumn])
This is not optimized but I wrote it like you could easily follow the logic behind it. It results in the following table:
Let me know if this works for you! 🙂
Kind regards
Djerro123
-------------------------------
If this answered your question, please mark it as the Solution. This also helps others to find what they are looking for.
Keep those thumbs up coming! 🙂
Proud to be a Super User!
Hi @JarroVGIT ,
Thanks for the answer.
Even I figured out a way to acheive this.
DateCYPY =
SELECTCOLUMNS (
ADDCOLUMNS (
GENERATEALL (
VALUES ( 'Date'[Year] ),
DATATABLE ( "type", STRING, { { "m" }, { "m-1" } } )
),
"visibleY", IF ( [type] = "m", VALUE ( 'Date'[Year] ), 'Date'[Year] - 1 )
),
"SelectedYear", 'Date'[Year],
"VisibleYear", [visibleY]
)
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