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The current query I have is made up of merging multiple tables with some column calculations as well.
Everything works perfectly but their is no structure to the heirarchy.
For example, I have [Year] [Quarter] [Month]
When I put these into a pivot table as columns and only show columns with data, it works fine.
However, if I want each [Month] to show, even if the data is empty, it shows Jan through Dec four times under [Quater], making 48 columns.
How can I create a heirachy so that only certain month sow under certain quarters, and then weeks under months, etc. ?
Solved! Go to Solution.
Hi @Anonymous ,
I think you could create data structure like below, then use this in Matrix
let
Source = List.Dates(#date(2020,1,1),365,#duration(1,0,0,0)),
#"Converted to Table" = Table.FromList(Source, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#"Added Custom" = Table.AddColumn(#"Converted to Table", "querter", each Date.QuarterOfYear([Column1])),
#"Added Custom1" = Table.AddColumn(#"Added Custom", "month", each Date.Month([Column1])),
#"Added Custom2" = Table.AddColumn(#"Added Custom1", "week", each Date.WeekOfMonth([Column1]))
in
#"Added Custom2"
Column = ROUND( RAND()*10,0)
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous ,
I think you could create data structure like below, then use this in Matrix
let
Source = List.Dates(#date(2020,1,1),365,#duration(1,0,0,0)),
#"Converted to Table" = Table.FromList(Source, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#"Added Custom" = Table.AddColumn(#"Converted to Table", "querter", each Date.QuarterOfYear([Column1])),
#"Added Custom1" = Table.AddColumn(#"Added Custom", "month", each Date.Month([Column1])),
#"Added Custom2" = Table.AddColumn(#"Added Custom1", "week", each Date.WeekOfMonth([Column1]))
in
#"Added Custom2"
Column = ROUND( RAND()*10,0)
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.