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Hi,
I have data set which includes both lists of customers and products sold in the same column in text format. I would like to split them both.
Regards
Siva
Solved! Go to Solution.
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("TZDdDoIwDIVfxezawNafrbuciGhUNKiJSnj/13CFjHhxlvRru552HA3VsQYLYLamb5tnGu7HNFxTDjHY/AbyEc20HU0OFAtrLbhINlTAJbXLiqRt6NFLwU2Ws6wfMXOEwvdaDqgcKFisfMm0ypzTPmHBWPghax6NhFFCwV2WR3Xq0Dn2FS4z/vY63y6X1L+GTeravjm1D/VPoi3MXlav33nC4lWA1q0/s1d1xJEE1x3eypcjBfSUTzH9AA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, Particulars = _t, Quantity = _t, Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Particulars", type text}, {"Quantity", Int64.Type}, {"Value", type number}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Company", each if [Date]=null then null else [Particulars], type text),
#"Added Custom1" = Table.AddColumn(#"Added Custom", "Product", each if [Date]=null then [Particulars] else null, type text),
#"Removed Columns" = Table.RemoveColumns(#"Added Custom1",{"Particulars"}),
#"Filled Down" = Table.FillDown(#"Removed Columns",{"Date", "Company"}),
#"Filtered Rows" = Table.SelectRows(#"Filled Down", each ([Product] <> null)),
#"Reordered Columns" = Table.ReorderColumns(#"Filtered Rows",{"Date", "Company", "Product", "Quantity", "Value"})
in
#"Reordered Columns"
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👍 It's been a pleasure to help you | Help Hours: 11 AM to 9 PM (UTC+05:30)
How to get your questions answered quickly -- How to provide sample data
-------------------------------------------------------------------------------------------------------
NewStep=Table.Combine(Table.Group(PreviousStepName,"Date",{"n",each Table.Skip(Table.AddColumn(Table.FillDown(_,"Date"),"Products",(x)=>[Particulars]{0}))},0,(x,y)=>Byte.From(y<>null))[n])
Thanks, Daniel 👍
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("TZDdDoIwDIVfxezawNafrbuciGhUNKiJSnj/13CFjHhxlvRru552HA3VsQYLYLamb5tnGu7HNFxTDjHY/AbyEc20HU0OFAtrLbhINlTAJbXLiqRt6NFLwU2Ws6wfMXOEwvdaDqgcKFisfMm0ypzTPmHBWPghax6NhFFCwV2WR3Xq0Dn2FS4z/vY63y6X1L+GTeravjm1D/VPoi3MXlav33nC4lWA1q0/s1d1xJEE1x3eypcjBfSUTzH9AA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, Particulars = _t, Quantity = _t, Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Particulars", type text}, {"Quantity", Int64.Type}, {"Value", type number}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Company", each if [Date]=null then null else [Particulars], type text),
#"Added Custom1" = Table.AddColumn(#"Added Custom", "Product", each if [Date]=null then [Particulars] else null, type text),
#"Removed Columns" = Table.RemoveColumns(#"Added Custom1",{"Particulars"}),
#"Filled Down" = Table.FillDown(#"Removed Columns",{"Date", "Company"}),
#"Filtered Rows" = Table.SelectRows(#"Filled Down", each ([Product] <> null)),
#"Reordered Columns" = Table.ReorderColumns(#"Filtered Rows",{"Date", "Company", "Product", "Quantity", "Value"})
in
#"Reordered Columns"
-------------------------------------------------------------------------------------------------------
👍 It's been a pleasure to help you | Help Hours: 11 AM to 9 PM (UTC+05:30)
How to get your questions answered quickly -- How to provide sample data
-------------------------------------------------------------------------------------------------------
Thanks, Vijay 👍
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