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Hello,
I wish to transform this current table into grouped table. Is it possible do this in Power Query?
Thanks in advance,
Current table:
| 2022 | 2023 | 2024 | 2025 |
| 66 | 56 | 55 | 0 |
| 43 | 58 | 86 | 1 |
| 65 | 67 | 80 | 1 |
| 28 | 55 | 54 | 0 |
| 16 | 23 | 30 | 18 |
| 58 | 49 | 52 | 0 |
| 58 | 55 | 79 | 93 |
| 2 | 2 | 3 | 0 |
Wished result (grouped)
| 2022 | 2023 | 2024 | 2025 | |
| 0-24 | 2 | 1 | 1 | 7 |
| 25-49 | 3 | 2 | 1 | 0 |
| 50-74 | 4 | 3 | 3 | 0 |
| 75-100 | 0 | 0 | 3 | 1 |
Solved! Go to Solution.
let
Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
Custom1 = Table.UnpivotOtherColumns(Source,{},"Year","Value"),
Custom2 = Table.AddColumn(Custom1,"Category",each List.Skip({{75,"75-100"},{50,"50-74"},{25,"25-49"},{0,"0-24"}},(x)=>x{0}>[Value]){0}?{1}?),
Custom3 = Table.Pivot(Custom2,List.Distinct(Custom2[Year]),"Year","Value",List.Count)
in
Custom3
let
Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
Custom1 = Table.UnpivotOtherColumns(Source,{},"Year","Value"),
Custom2 = Table.AddColumn(Custom1,"Category",each List.Skip({{75,"75-100"},{50,"50-74"},{25,"25-49"},{0,"0-24"}},(x)=>x{0}>[Value]){0}?{1}?),
Custom3 = Table.Pivot(Custom2,List.Distinct(Custom2[Year]),"Year","Value",List.Count)
in
Custom3
@wdx223_Daniel two can play this game...
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("PYzLDQAhCER74exBQRBrIfbfxjqY5TLJfN5EkBk10hS90um0oCnwfsXRjAwNvS2EvUL2n9RZ+ADE+JBceqb5NzemXFMtfqHZ8l7BA3+78wE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"2022" = _t, #" 2023" = _t, #" 2024" = _t, #" 2025" = _t]),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(Source, {}, "Year", "Value"),
#"Trimmed Text" = Table.TransformColumns(#"Unpivoted Columns",{{"Year", Text.Trim, type text}, {"Value", Text.Trim, type text}}),
#"Changed Type" = Table.TransformColumnTypes(#"Trimmed Text",{{"Value", Int64.Type}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Group", each {"0-24","25-49","50-74","75-100"}{Number.RoundDown([Value]/25)}),
#"Grouped Rows" = Table.Group(#"Added Custom", {"Year", "Group"}, {{"Count", each Table.RowCount(_), Int64.Type}}),
#"Pivoted Column" = Table.Pivot(#"Grouped Rows", List.Distinct(#"Grouped Rows"[Year]), "Year", "Count")
in
#"Pivoted Column"
Please check your math.
NOTE: While this can be done in Power Query it should NOT be done in Power Query. Instead, bring your data into a usable format and then let Power BI do the pivoting.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("PYzLDQAhCER74exBQRBrIfbfxjqY5TLJfN5EkBk10hS90um0oCnwfsXRjAwNvS2EvUL2n9RZ+ADE+JBceqb5NzemXFMtfqHZ8l7BA3+78wE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"2022" = _t, #" 2023" = _t, #" 2024" = _t, #" 2025" = _t]),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(Source, {}, "Year", "Value"),
#"Trimmed Text" = Table.TransformColumns(#"Unpivoted Columns",{{"Year", Text.Trim, type text}, {"Value", Text.Trim, type text}}),
#"Changed Type" = Table.TransformColumnTypes(#"Trimmed Text",{{"Value", Int64.Type}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Group", each if [Value]<25 then "0-24" else
if [Value]<50 then "25-49" else
if [Value]<75 then "50-74" else "75-100"),
#"Grouped Rows" = Table.Group(#"Added Custom", {"Year", "Group"}, {{"Count", each Table.RowCount(_), Int64.Type}}),
#"Pivoted Column" = Table.Pivot(#"Grouped Rows", List.Distinct(#"Grouped Rows"[Year]), "Year", "Count")
in
#"Pivoted Column"
How to use this code: Create a new Blank Query. Click on "Advanced Editor". Replace the code in the window with the code provided here. Click "Done". Once you examined the code, replace the entire Source step with your own source.
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