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I am new to PQ, I need help on the following:
I have a source data in the following format in excel:
| Licence | Year | Company | Category |
| LTE | 2022 | BNL | GD |
| LTE | 2022 | ELELL | LGL |
| LTE | 2022 | VECL | LGL |
| LTE | 2023 | RNG | LGL |
| LTE | 2023 | TOCE | LGL |
| LTE | 2023 | UTM | LGL |
| LTE | 2023 | RNG2 | LGL |
| LTE | 2023 | SPL | GPL |
| LTE | 2023 | ACE | LGL |
| LTE | 2024 | ANDARA | GD |
| LTE | 2024 | OHUR | GPL |
| LTE | 2024 | RHFD | GPL |
| LTC | 2022 | INDL | GD |
| LTC | 2023 | FMG | GPL |
| LTC | 2023 | NALG | LGL |
| LTC | 2023 | SAPL | GD |
| LTC | 2024 | ANDARA | GD |
| AIHC | 2022 | COTT | GPL |
| AIHC | 2023 | POC | GPL |
| AIHC | 2024 | ODAF | GPL |
| LTO | 2022 | ASH | GPL |
| LTO | 2022 | NEP | GPL |
| LTO | 2022 | DFL | GD |
| LTO | 2022 | NOTR | GPL |
| LTO | 2023 | GRANVL | LGL |
| LTO | 2024 | GAIL | GPL |
And I need to transform it to the following form in Power Query:
| Licence | Year | GPL | GD | LGL | List of Companies granted |
| LTE | 2022 | 1 | 2 | VECL, BNL, ELELL | |
| LTC | 2022 | 1 | INDL | ||
| AIHC | 2022 | 1 | COTT | ||
| LTO | 2022 | 3 | 1 | ASH, NEP, DFL,NOTR | |
| LTE | 2023 | 1 | 5 | RNG, TOCE, UTM,RNG2,SPL,ACE | |
| LTC | 2023 | 1 | 1 | 1 | FMG,NALG,SAPL |
| AIHC | 2023 | 1 | POC | ||
| LTO | 2023 | 1 | GRANVL | ||
| LTE | 2024 | 2 | 1 | OHUR,RHFD,ANDARA | |
| LTC | 2024 | 1 | ANDARA | ||
| AIHC | 2024 | 1 | ODAF | ||
| LTO | 2024 | 1 | GAIL |
Thank you for your kind help.
Solved! Go to Solution.
Hello @ashameen01, you can achieve the desired result by grouping the rows by license and year, and then aggregating categories and companies by the groups.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fZJBDsIgEEWvYrp2YaoXGIHSJgiEoolpumhMY1zYGuPG2wsuBHRw02n6mD//T+m6QlxO43Qai2VxHIe7K2S+3obp6d+Gx3ie78+iX7pzlrlP5aosXdlK4Z6c/hImmPBMcPELD4ygbO2KkTyHrCIsx/Z290exzLFWvwNoBAE+bOORpGAASe6hqvcG0/TM1BVNGAlLaSRNlkmClWrHsS6PJIh0XxFrQWOKWAJo6sgKUdZGAwP0qlqRL7aIwlOoEqsqqEJb55BkOodolWSIm5Q1WJc3yQ3IQ3rHVHDJofn89v4F", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"(blank)" = _t, #"(blank).1" = _t, #"(blank).2" = _t, #"(blank).3" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"(blank)", type text}, {"(blank).1", type text}, {"(blank).2", type text}, {"(blank).3", type text}}),
#"Promoted Headers" = Table.PromoteHeaders(#"Changed Type", [PromoteAllScalars=true]),
#"Changed Type1" = Table.TransformColumnTypes(#"Promoted Headers",{{"Licence", type text}, {"Year", Int64.Type}, {"Company", type text}, {"Category", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type1", {"Licence", "Year"}, {{"GPL", each List.Count ( List.Select ( _[Category], each _ = "GPL" ) ), type number }, {"GD", each List.Count ( List.Select ( _[Category], each _ = "GD" ) ), type number}, {"LGL", each List.Count ( List.Select ( _[Category], each _ = "LGL" ) ), type number}, {"Companies", each Text.Combine ( _[Company], ", " ), type nullable text}})
in
#"Grouped Rows"
let
Source = your_table,
group = Table.Group(
Source, {"Licence", "Year"},
{{"x", (x) => Function.Invoke(
Record.FromList,
List.Reverse(
Table.ToColumns(
Table.Group(x, "Category", {"count", Table.RowCount})
)
)
)},
{"List of companies", (x) => Text.Combine(List.Distinct(x[Company]), ", ")}}),
xpand = Table.ExpandRecordColumn(group, "x", List.Distinct(Source[Category]))
in
xpand
or slightly modified @jennratten 's code to avoid hard coded categories
let
Source = your_table,
lst = List.Transform(
List.Distinct(Source[Category]),
(x) => {x, (y) => List.Count(List.Select(y[Category], (w) => w = x))}
),
group = Table.Group(
Source, {"Licence", "Year"},
lst & {{"List of companies", (x) => Text.Combine(List.Distinct(x[Company]), ", ")}})
in
group
Hello @ashameen01, you can achieve the desired result by grouping the rows by license and year, and then aggregating categories and companies by the groups.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fZJBDsIgEEWvYrp2YaoXGIHSJgiEoolpumhMY1zYGuPG2wsuBHRw02n6mD//T+m6QlxO43Qai2VxHIe7K2S+3obp6d+Gx3ie78+iX7pzlrlP5aosXdlK4Z6c/hImmPBMcPELD4ygbO2KkTyHrCIsx/Z290exzLFWvwNoBAE+bOORpGAASe6hqvcG0/TM1BVNGAlLaSRNlkmClWrHsS6PJIh0XxFrQWOKWAJo6sgKUdZGAwP0qlqRL7aIwlOoEqsqqEJb55BkOodolWSIm5Q1WJc3yQ3IQ3rHVHDJofn89v4F", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"(blank)" = _t, #"(blank).1" = _t, #"(blank).2" = _t, #"(blank).3" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"(blank)", type text}, {"(blank).1", type text}, {"(blank).2", type text}, {"(blank).3", type text}}),
#"Promoted Headers" = Table.PromoteHeaders(#"Changed Type", [PromoteAllScalars=true]),
#"Changed Type1" = Table.TransformColumnTypes(#"Promoted Headers",{{"Licence", type text}, {"Year", Int64.Type}, {"Company", type text}, {"Category", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type1", {"Licence", "Year"}, {{"GPL", each List.Count ( List.Select ( _[Category], each _ = "GPL" ) ), type number }, {"GD", each List.Count ( List.Select ( _[Category], each _ = "GD" ) ), type number}, {"LGL", each List.Count ( List.Select ( _[Category], each _ = "LGL" ) ), type number}, {"Companies", each Text.Combine ( _[Company], ", " ), type nullable text}})
in
#"Grouped Rows"
Many thanks, that worked, to get a wrap on the steps, so you grouped by "Licence" and "Year" without aggregation and added custom columns: " { {"GPL", each List.Count(List.Select(_[Category], each _ = "GPL")), type number}, {"GD", each List.Count(List.Select(_[Category], each _ = "GD")), type number}, {"LGL", each List.Count(List.Select(_[Category], each _ = "LGL")), type number}, {"Companies", each Text.Combine(_[Company], ", "), type nullable text} } )" to count categories and combined list of companies?
Yes, that's correct! Please let me know if I can further assist with this.
If this helped you please consider clicking Accept as Solution.
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