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
NEW! Community Notebooks Gallery
Explore and share Fabric Notebooks to boost Power BI insights in the new community notebooks gallery.
