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KH11NDR
Helper IV
Helper IV

How do I create This cross table

Hi Guys,

 

How do I create this cross table, Above excel table is how my data is and the below table is how i want it.

 

Thanks

 

cross table.PNG

2 ACCEPTED SOLUTIONS
Anonymous
Not applicable

@KH11NDR,

Copy and paste this code below in your blank query:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjRQ0lEKKMrPSk0uUQBzDI2AhIkpkDAzU4qNBQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"Project ID" = _t, #"Project Name" = _t, #"02/01/2018" = _t, #"01/02/2018" = _t, #"01/03/2018" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Project ID", type text}, {"Project Name", type text}, {"02/01/2018", type text}, {"01/02/2018", type text}, {"01/03/2018", type text}}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Project ID", "Project Name"}, "Attribute", "Value"),
    #"Renamed Columns" = Table.RenameColumns(#"Unpivoted Columns",{{"Attribute", "Date"}, {"Value", "Values"}}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Renamed Columns", "Date", Splitter.SplitTextByDelimiter("/", QuoteStyle.Csv), {"Date.1", "Date.2", "Date.3"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Date.1", Int64.Type}, {"Date.2", Int64.Type}, {"Date.3", Int64.Type}}),
    #"Renamed Columns1" = Table.RenameColumns(#"Changed Type1",{{"Date.1", "Month"}, {"Date.2", "Day"}, {"Date.3", "Year"}}),
    #"Removed Columns" = Table.RemoveColumns(#"Renamed Columns1",{"Day"})
in
    #"Removed Columns"

View solution in original post

Anonymous
Not applicable

I'd convert the data into a standard data format which will give you what you want (except year which can be a Measure or calculated column.

 

Import the data

Under Edit Queries Transform tab

Highlight the columns with trhe dates

Click on "Unpivot Columns"

 

View solution in original post

3 REPLIES 3
KH11NDR
Helper IV
Helper IV

Good thing about this forum, It takes a while to get a reply, so that makes me work it out 80% of the time before i get the answer.  It's so easy once you know how, I mean, this task is so easy now lol.

 

I used the unpivot table way, which if i'm write is the best and easiest way to do it.

 

Thanks Guys, I've rewarded you guys with some points.

Anonymous
Not applicable

I'd convert the data into a standard data format which will give you what you want (except year which can be a Measure or calculated column.

 

Import the data

Under Edit Queries Transform tab

Highlight the columns with trhe dates

Click on "Unpivot Columns"

 

Anonymous
Not applicable

@KH11NDR,

Copy and paste this code below in your blank query:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjRQ0lEKKMrPSk0uUQBzDI2AhIkpkDAzU4qNBQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"Project ID" = _t, #"Project Name" = _t, #"02/01/2018" = _t, #"01/02/2018" = _t, #"01/03/2018" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Project ID", type text}, {"Project Name", type text}, {"02/01/2018", type text}, {"01/02/2018", type text}, {"01/03/2018", type text}}),
    #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Project ID", "Project Name"}, "Attribute", "Value"),
    #"Renamed Columns" = Table.RenameColumns(#"Unpivoted Columns",{{"Attribute", "Date"}, {"Value", "Values"}}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Renamed Columns", "Date", Splitter.SplitTextByDelimiter("/", QuoteStyle.Csv), {"Date.1", "Date.2", "Date.3"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Date.1", Int64.Type}, {"Date.2", Int64.Type}, {"Date.3", Int64.Type}}),
    #"Renamed Columns1" = Table.RenameColumns(#"Changed Type1",{{"Date.1", "Month"}, {"Date.2", "Day"}, {"Date.3", "Year"}}),
    #"Removed Columns" = Table.RemoveColumns(#"Renamed Columns1",{"Day"})
in
    #"Removed Columns"

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