Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Data Days is here! Join us now for 60+ days of learning, challenges, and connection. Learn more

Reply
Syndicate_Admin
Administrator
Administrator

split column

Hi

 

Relatively new user.

 

I've uploaded a table I connected to on the web. I need to unpivot the table so I have a chronological list of the dates in the table.

 

I've tried splitting but run into an error problem as the information in row 1 is the year I need to link/associate with the dates listed. Also some of the days have extra ** I don't need.

 

Thanks

3 ACCEPTED SOLUTIONS
spinfuzer
Solution Sage
Solution Sage

let
    Source = Web.Page(Web.Contents("https://www.nyse.com/markets/hours-calendars")),
    Data0 = Source{0}[Data],
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(Data0, {"Holiday"}, "Attribute", "Value"),
    #"Replaced Value" = Table.ReplaceValue(#"Unpivoted Other Columns","*","",Replacer.ReplaceText,{"Value"}),
    #"Extracted Text Before Delimiter" = Table.TransformColumns(#"Replaced Value", {{"Value", each Text.BeforeDelimiter(_, "("), type text}}),
    #"Merged Columns" = Table.CombineColumns(#"Extracted Text Before Delimiter",{"Attribute", "Value"},Combiner.CombineTextByDelimiter(" ", QuoteStyle.None),"Merged"),
    #"Changed Type" = Table.TransformColumnTypes(#"Merged Columns",{{"Merged", type date}})
in
    #"Changed Type"

View solution in original post

Anonymous
Not applicable

Hi @Syndicate_Admin 

You can put the following code to advanced editor 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("dZLBbsIwDEB/xeppq9AEZVA4bkNMY8BlSGhiHFJqkWiQICdl6m2/sd/blyy0dCppuFTVs/0cO1mtgjl+wTsy+v3+0TBiedAKZkqmLG/BhMmMUQ4dy5aYStQNvOAZuXTdWgUzRkZImGaGI8GrkFubQXfXGvQ8MGr7MoeFfsk0t06j5EfWbkexhkdBhqcX9jEmVBX5aOyl/aLBs1IpjEmUxvKnBXaqDYdoWEMPBxI76AwaqFvuAfeKBNs5g8+YnS92Qd8FvcIxySQaRGk4zJkRSlrdi0zxgPYjN3h212/IVpRT1+7nn1XnrMiph8dXL93lcB9elHpJF25cEahEIx0xvS36TFmiyFnGGx4M7hP7TiIv7XhpXPgWnMlPvRVH+xoa556r49k7CMMrkfhqpG8jpxZPnIQ2e6abex7h5pzcCx1PI1Qtygms138=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Holiday = _t, #"2024" = _t, #"2025" = _t, #"2026" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Holiday", type text}, {"2024", type text}, {"2025", type text}, {"2026", type text}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Holiday"}, "Attribute", "Value"),
    #"Replaced Value" = Table.ReplaceValue(#"Unpivoted Other Columns","*","",Replacer.ReplaceText,{"Value"}),
    #"Added Custom" = Table.AddColumn(#"Replaced Value", "Custom", each Text.BeforeDelimiter([Value],"(")),
    #"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Value"}),
    #"Duplicated Column" = Table.DuplicateColumn(#"Removed Columns", "Attribute", "Year"),
    #"Merged Columns" = Table.CombineColumns(#"Duplicated Column",{"Custom", "Attribute"},Combiner.CombineTextByDelimiter(",", QuoteStyle.None),"Date"),
    #"Changed Type1" = Table.TransformColumnTypes(#"Merged Columns",{{"Date", type date}, {"Year", Int64.Type}})
in
    #"Changed Type1"

Output

vxinruzhumsft_0-1705909156703.png

Best Regards!

Yolo Zhu

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

View solution in original post

dufoq3
Community Champion
Community Champion

Same result, different approach:

 

let
    Source = Web.Page(Web.Contents("https://www.nyse.com/markets/hours-calendars")),
    Data0 = Source{0}[Data],
    YearsColNames = List.Buffer(List.RemoveNulls(List.Transform(Table.ColumnNames(Data0), each try Number.From(_) otherwise null))),
    StepBack = Data0,
    TransformToDates = Table.TransformColumns(StepBack,
     List.Transform(YearsColNames, (colName)=>
        { Text.From(colName), each Date.FromText(Text.From(colName) & ", " & Text.Trim(Text.BeforeDelimiter(Text.TrimEnd(_, {"*"}),"(")) , [Format="yyyy, dddd, MMMM %d", Culture = "en-US"]), type date })),
    UnpivotedOtherColumns = Table.UnpivotOtherColumns(TransformToDates, {"Holiday"}, "Year", "Date")
in
    UnpivotedOtherColumns

 


Note: Check this link to learn how to use my query.
Check this link if you don't know how to provide sample data.

View solution in original post

3 REPLIES 3
dufoq3
Community Champion
Community Champion

Same result, different approach:

 

let
    Source = Web.Page(Web.Contents("https://www.nyse.com/markets/hours-calendars")),
    Data0 = Source{0}[Data],
    YearsColNames = List.Buffer(List.RemoveNulls(List.Transform(Table.ColumnNames(Data0), each try Number.From(_) otherwise null))),
    StepBack = Data0,
    TransformToDates = Table.TransformColumns(StepBack,
     List.Transform(YearsColNames, (colName)=>
        { Text.From(colName), each Date.FromText(Text.From(colName) & ", " & Text.Trim(Text.BeforeDelimiter(Text.TrimEnd(_, {"*"}),"(")) , [Format="yyyy, dddd, MMMM %d", Culture = "en-US"]), type date })),
    UnpivotedOtherColumns = Table.UnpivotOtherColumns(TransformToDates, {"Holiday"}, "Year", "Date")
in
    UnpivotedOtherColumns

 


Note: Check this link to learn how to use my query.
Check this link if you don't know how to provide sample data.

Anonymous
Not applicable

Hi @Syndicate_Admin 

You can put the following code to advanced editor 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("dZLBbsIwDEB/xeppq9AEZVA4bkNMY8BlSGhiHFJqkWiQICdl6m2/sd/blyy0dCppuFTVs/0cO1mtgjl+wTsy+v3+0TBiedAKZkqmLG/BhMmMUQ4dy5aYStQNvOAZuXTdWgUzRkZImGaGI8GrkFubQXfXGvQ8MGr7MoeFfsk0t06j5EfWbkexhkdBhqcX9jEmVBX5aOyl/aLBs1IpjEmUxvKnBXaqDYdoWEMPBxI76AwaqFvuAfeKBNs5g8+YnS92Qd8FvcIxySQaRGk4zJkRSlrdi0zxgPYjN3h212/IVpRT1+7nn1XnrMiph8dXL93lcB9elHpJF25cEahEIx0xvS36TFmiyFnGGx4M7hP7TiIv7XhpXPgWnMlPvRVH+xoa556r49k7CMMrkfhqpG8jpxZPnIQ2e6abex7h5pzcCx1PI1Qtygms138=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Holiday = _t, #"2024" = _t, #"2025" = _t, #"2026" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Holiday", type text}, {"2024", type text}, {"2025", type text}, {"2026", type text}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Holiday"}, "Attribute", "Value"),
    #"Replaced Value" = Table.ReplaceValue(#"Unpivoted Other Columns","*","",Replacer.ReplaceText,{"Value"}),
    #"Added Custom" = Table.AddColumn(#"Replaced Value", "Custom", each Text.BeforeDelimiter([Value],"(")),
    #"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Value"}),
    #"Duplicated Column" = Table.DuplicateColumn(#"Removed Columns", "Attribute", "Year"),
    #"Merged Columns" = Table.CombineColumns(#"Duplicated Column",{"Custom", "Attribute"},Combiner.CombineTextByDelimiter(",", QuoteStyle.None),"Date"),
    #"Changed Type1" = Table.TransformColumnTypes(#"Merged Columns",{{"Date", type date}, {"Year", Int64.Type}})
in
    #"Changed Type1"

Output

vxinruzhumsft_0-1705909156703.png

Best Regards!

Yolo Zhu

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

 

spinfuzer
Solution Sage
Solution Sage

let
    Source = Web.Page(Web.Contents("https://www.nyse.com/markets/hours-calendars")),
    Data0 = Source{0}[Data],
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(Data0, {"Holiday"}, "Attribute", "Value"),
    #"Replaced Value" = Table.ReplaceValue(#"Unpivoted Other Columns","*","",Replacer.ReplaceText,{"Value"}),
    #"Extracted Text Before Delimiter" = Table.TransformColumns(#"Replaced Value", {{"Value", each Text.BeforeDelimiter(_, "("), type text}}),
    #"Merged Columns" = Table.CombineColumns(#"Extracted Text Before Delimiter",{"Attribute", "Value"},Combiner.CombineTextByDelimiter(" ", QuoteStyle.None),"Merged"),
    #"Changed Type" = Table.TransformColumnTypes(#"Merged Columns",{{"Merged", type date}})
in
    #"Changed Type"

Helpful resources

Announcements
Fabric Data Days is here Carousel

Fabric Data Days 2026

Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.

May Power BI Update Carousel

Power BI Monthly Update - May 2026

Check out the May 2026 Power BI update to learn about new features.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.