Related to your question, just copy and past the next code into advance editor.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("rZRLq8IwEIX/SuhaMJna51IXirhTcCEueiFooA9p4v9XaavxTptOwWUOnY8zZ6ZzOnliMRd8DhwWjIcp597MlkTcSMusNmyvipuuytfzrlUptWbCO8++GQlmRI20llV9kWyj8txGwH+E8AcRy+qPrZ5WZP18HKQ2nYHgY4C31eFbAj8NEmJ1F0GAIlhlyuSqZMerMrKnARKEYiHB1ZF7CtjBMMM9Bet7norgGwHQSNuskJrtC2WuPbsQ4hxClMMPECNhRJgRTbQRY0Q8DQECjcSSaGOlMXZKZyRG93f1+RhYToCPg7ZrSyJ2QWKMdEFiOBechhiYaYvw8Tz8qWmQGCNp4KMLPRfT7YPEGPGBzw5MPV00hsPH+QE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Start = _t, End = _t, Employee = _t, Location = _t]),
#"Grouped Rows" = Table.Group(Source, {"Location"}, {{"Count", each _, type table [Start=nullable text, End=nullable text, Employee=nullable text, Location=nullable text]}}),
#"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each Table.AddIndexColumn([Count],"Index",0)),
#"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Location", "Count"}),
#"Expanded Custom" = Table.ExpandTableColumn(#"Removed Columns", "Custom", {"Start", "End", "Employee", "Location", "Index"}, {"Start", "End", "Employee", "Location", "Index"}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Expanded Custom", {"Location", "Index"}, "Attribute", "Value"),
#"Merged Columns" = Table.CombineColumns(#"Unpivoted Columns",{"Location", "Attribute"},Combiner.CombineTextByDelimiter(" | ", QuoteStyle.None),"Merged"),
#"Pivoted Column" = Table.Pivot(#"Merged Columns", List.Distinct(#"Merged Columns"[Merged]), "Merged", "Value"),
#"Removed Columns1" = Table.RemoveColumns(#"Pivoted Column",{"Index"})
in
#"Removed Columns1"result in the next image
as it is impossible have two row headers in power query and also header columns should be unique (cant have three column with name Business 1) I combined your first two rows.
If this answer helped resolve your issue, please consider marking it as the accepted answer. And if you found my response helpful, I'd appreciate it if you could give me kudos.
Thank you!
Related to your question, just copy and past the next code into advance editor.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("rZRLq8IwEIX/SuhaMJna51IXirhTcCEueiFooA9p4v9XaavxTptOwWUOnY8zZ6ZzOnliMRd8DhwWjIcp597MlkTcSMusNmyvipuuytfzrlUptWbCO8++GQlmRI20llV9kWyj8txGwH+E8AcRy+qPrZ5WZP18HKQ2nYHgY4C31eFbAj8NEmJ1F0GAIlhlyuSqZMerMrKnARKEYiHB1ZF7CtjBMMM9Bet7norgGwHQSNuskJrtC2WuPbsQ4hxClMMPECNhRJgRTbQRY0Q8DQECjcSSaGOlMXZKZyRG93f1+RhYToCPg7ZrSyJ2QWKMdEFiOBechhiYaYvw8Tz8qWmQGCNp4KMLPRfT7YPEGPGBzw5MPV00hsPH+QE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Start = _t, End = _t, Employee = _t, Location = _t]),
#"Grouped Rows" = Table.Group(Source, {"Location"}, {{"Count", each _, type table [Start=nullable text, End=nullable text, Employee=nullable text, Location=nullable text]}}),
#"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each Table.AddIndexColumn([Count],"Index",0)),
#"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Location", "Count"}),
#"Expanded Custom" = Table.ExpandTableColumn(#"Removed Columns", "Custom", {"Start", "End", "Employee", "Location", "Index"}, {"Start", "End", "Employee", "Location", "Index"}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Expanded Custom", {"Location", "Index"}, "Attribute", "Value"),
#"Merged Columns" = Table.CombineColumns(#"Unpivoted Columns",{"Location", "Attribute"},Combiner.CombineTextByDelimiter(" | ", QuoteStyle.None),"Merged"),
#"Pivoted Column" = Table.Pivot(#"Merged Columns", List.Distinct(#"Merged Columns"[Merged]), "Merged", "Value"),
#"Removed Columns1" = Table.RemoveColumns(#"Pivoted Column",{"Index"})
in
#"Removed Columns1"result in the next image
as it is impossible have two row headers in power query and also header columns should be unique (cant have three column with name Business 1) I combined your first two rows.
If this answer helped resolve your issue, please consider marking it as the accepted answer. And if you found my response helpful, I'd appreciate it if you could give me kudos.
Thank you!
Helpful resources
Power BI Monthly Update - April 2026
Check out the April 2026 Power BI update to learn about new features.
New to Fabric Survey
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
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.
FabCon &SQLCon Highlights
Experience the highlights from FabCon & SQLCon, available live and on-demand starting April 14th.
