Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
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"
If this post helps to answer your questions, please consider marking it as a solution so others can find it more quickly when faced with a similar challenge.
Proud to be a Microsoft Fabric Super User
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"
If this post helps to answer your questions, please consider marking it as a solution so others can find it more quickly when faced with a similar challenge.
Proud to be a Microsoft Fabric Super User
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.
If this post helps to answer your questions, please consider marking it as a solution so others can find it more quickly when faced with a similar challenge.
Proud to be a Microsoft Fabric Super User
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
15 | |
12 | |
8 | |
8 | |
7 |
User | Count |
---|---|
15 | |
13 | |
7 | |
6 | |
5 |