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I have the following data:
How do I use Power Query to 'pivot' the data (without summarizing, though) to end up with both values of 'Sector' as columns (so, Energy and Water) and '# households impacted' as values, like the following:
Have tried many combinations to no avail.
Please help.
Cheers
Solved! Go to Solution.
Hello! You will need to either have a unique identifier already in the table, or add an index column. Then you can select the utilities column and unpivot without summarizing the data.
BEFORE
AFTER
SCRIPT
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcsopTVXSUTJVitWBc0zAnKDUFCDbCFnCAkkCRYc5koSxUmwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Color = _t, Count = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Count", Int64.Type}}),
#"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1, Int64.Type),
#"Pivoted Column" = Table.Pivot(#"Added Index", List.Distinct(#"Added Index"[Color]), "Color", "Count")
in
#"Pivoted Column"
Hello! You will need to either have a unique identifier already in the table, or add an index column. Then you can select the utilities column and unpivot without summarizing the data.
BEFORE
AFTER
SCRIPT
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcsopTVXSUTJVitWBc0zAnKDUFCDbCFnCAkkCRYc5koSxUmwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Color = _t, Count = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Count", Int64.Type}}),
#"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1, Int64.Type),
#"Pivoted Column" = Table.Pivot(#"Added Index", List.Distinct(#"Added Index"[Color]), "Color", "Count")
in
#"Pivoted Column"
Following is M-code
Solution Excel is uploaded to https://1drv.ms/x/s!Akd5y6ruJhvhuTdyS-bbcrf3KL0Z?e=fSISO0
let
Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Removed Columns" = Table.RemoveColumns(Source,{"Entities", "Incident", "Resolution period (in days)", "Severity of incident"}),
#"Added Index" = Table.AddIndexColumn(#"Removed Columns", "Index", 0, 1, Int64.Type),
#"Divided Column" = Table.TransformColumns(#"Added Index", {{"Index", each _ / 2, type number}}),
#"Rounded Down" = Table.TransformColumns(#"Divided Column",{{"Index", Number.RoundDown, Int64.Type}}),
#"Pivoted Column" = Table.Pivot(#"Rounded Down", List.Distinct(#"Rounded Down"[Sector]), "Sector", "# households impacted"),
#"Removed Columns1" = Table.RemoveColumns(#"Pivoted Column",{"Index"})
in
#"Removed Columns1"
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