Forum Discussion
Convert table with year rows and month columns to table with date column
- Anonymous4 years ago
If that's not what you want, spend another hour to publish a copyable table
let Origine = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("TZNLksMgDAXv4nUW1geQzpLK/a8xpgWDN6qUX/ml3Yjv99Jb7utzyc2s38o0pjMbszMHM5g5p/KuPu/+PhQKhY3CQWFSxfNmVJEO0khKhJKZqs5UbexCfbE5bEEVz3t/8ThVQYlSMlOFX7vvQhgEBoPKIek8H9AmDHyL6kzVYWvQDtKUXegvb8UG1eB56vIzq2DzvnieGTM1HJrELoQND+LtGAv+F7fLEqmSKqmRGqk96Srs50zL22KDRIqqLEEbTlWnaqaGQxu6CzFmUOFEAj83rrCqDSp82m1UDaqEKggzd2GcfaszXd6KDVfsnmZR4c1h41sch659F+axN+zsGNuobRxj7IOxn9ahzUHVTP3Z2CrU112IvfP/3mBb54hn475YFhWTdz32TdG6EXWy8EixwYlPkzpHvGHS2UlnGx2H7d43RetGvO5C7VudaXlbbJxvztRtpo7zBn+z56b8/gA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [year = _t, gen = _t, feb = _t, mar = _t, apr = _t, mag = _t, giu = _t, lug = _t, ago = _t, set = _t, ott = _t, nov = _t, dic = _t]), #"Modificato tipo" = Table.TransformColumnTypes(Origine,{{"year", Int64.Type}, {"gen", Int64.Type}, {"feb", Int64.Type}, {"mar", Int64.Type}, {"apr", Int64.Type}, {"mag", Int64.Type}, {"giu", Int64.Type}, {"lug", Int64.Type}, {"ago", Int64.Type}, {"set", Int64.Type}, {"ott", Int64.Type}, {"nov", Int64.Type}, {"dic", Int64.Type}}), #"Trasformate altre colonne tramite UnPivot" = Table.UnpivotOtherColumns(#"Modificato tipo", {"year"}, "Attributo", "Valore") in #"Trasformate altre colonne tramite UnPivot" - 4 years ago
See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test (later on when you use the query on your dataset, you will have to change the source appropriately. If you have columns other than these, then delete Changed type step and do a Changed type for complete table from UI again)
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("XZA7DgIxDETvknqL2HFs5xJcYLUFPQiJ+xfkhdBQ7MifyRtrz7No1VqOItqmUpk5mn33w2OqJnUXdl5977IqilirUa5jAQVrByDxw4gnVpfd/399oahUp2mTmI00QoOdJ9FhUHPEOpx5rPMjx9TWUBuoN/IG9pDIhb293s/7g0gMIAjlIc/oZXERRsLhAu37p8TKdX0A", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Year = _t, January = _t, February = _t, March = _t, April = _t, May = _t, June = _t, July = _t, August = _t, September = _t, October = _t, November = _t, December = _t, Total = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Year", type text}, {"January", Int64.Type}, {"February", Int64.Type}, {"March", Int64.Type}, {"April", Int64.Type}, {"May", Int64.Type}, {"June", Int64.Type}, {"July", Int64.Type}, {"August", Int64.Type}, {"September", Int64.Type}, {"October", Int64.Type}, {"November", Int64.Type}, {"December", Int64.Type}, {"Total", Int64.Type}}), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Year"}, "Attribute", "Value"), #"Filtered Rows" = Table.SelectRows(#"Unpivoted Other Columns", each ([Year] <> "Normal")), #"Added Index" = Table.AddIndexColumn(#"Filtered Rows", "Index", 0, 1, Int64.Type), #"Added Custom" = Table.AddColumn(#"Added Index", "Date", each try Date.From("1"&[Attribute]&[Year]) otherwise [Year]&"-"&[Attribute]), Custom1 = Table.SelectRows(#"Unpivoted Other Columns", each ([Year] = "Normal")), #"Merged Queries" = Table.NestedJoin(#"Added Custom", {"Attribute"}, Custom1, {"Attribute"}, "Custom1", JoinKind.LeftOuter), #"Expanded Custom1" = Table.ExpandTableColumn(#"Merged Queries", "Custom1", {"Value"}, {"Value.1"}), #"Sorted Rows" = Table.Sort(#"Expanded Custom1",{{"Index", Order.Ascending}}), #"Removed Columns" = Table.RemoveColumns(#"Sorted Rows",{"Year", "Attribute", "Index"}), #"Reordered Columns" = Table.ReorderColumns(#"Removed Columns",{"Date", "Value", "Value.1"}), #"Renamed Columns" = Table.RenameColumns(#"Reordered Columns",{{"Value.1", "Normal"}}) in #"Renamed Columns"
I think you want to Unpivot the month columns (in Power Query).
You can then construct a Yr/Month column from the result. This can be a date column if you want e.g. 1 feb 2011 (use Add column from examples if you are having trouble doing this) or a text column with your own design e.g. 2011/Feb
- h4tt3n4 years agoHelper V
Hi HotChilli
This is exactly what I have been attempting to do, but the details elude me a bit here. By unpivoting months, you also pivot years - the two are always at right angles to each other. Creating two separate month- and year columned tables and crossjoining them creates a mess.