The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends September 15. Request your voucher.
I have a table like this in power query
ID MES_ID UNITS GENDER
61 202003 2 M
61 202003 6 W
And I need to transform my data into
ID MES_ID GENDER_M GENDER_W
61 202003 2 6
Thanks
How I can achieve this behabiour with power query editor?
Thanks
Solved! Go to Solution.
Just pivot your GENDER column and don't aggregate.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjNU0lEyMjAyMDAGMYDYVylWB13cDIjDlWJjAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [ID = _t, MES_ID = _t, UNITS = _t, GENDER = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}, {"MES_ID", Int64.Type}, {"UNITS", Int64.Type}, {"GENDER", type text}}),
#"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[GENDER]), "GENDER", "UNITS")
in
#"Pivoted Column"
Create two new measure like
GENDER_M =calculate(sum(table[unit]),table[GENDER] ="M")
GENDER_W = calculate(sum(table[unit]),table[GENDER] ="W")
Appreciate your Kudos.
Just pivot your GENDER column and don't aggregate.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjNU0lEyMjAyMDAGMYDYVylWB13cDIjDlWJjAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [ID = _t, MES_ID = _t, UNITS = _t, GENDER = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}, {"MES_ID", Int64.Type}, {"UNITS", Int64.Type}, {"GENDER", type text}}),
#"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[GENDER]), "GENDER", "UNITS")
in
#"Pivoted Column"
User | Count |
---|---|
65 | |
60 | |
55 | |
54 | |
31 |
User | Count |
---|---|
180 | |
88 | |
70 | |
46 | |
46 |