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Hi,
I would like to unpivot the summary table below
Table1
Name | ID-Primary | ID-Secondary | Score 1 (primary) | Score 2 (primary) | Score 3 (secondary) | Type 1 (first) | Type 2 (second) |
A | 100 | 1 | 1 | a | |||
B | 201 | 1 | b | ||||
C | 102 | 202 | 1 | 1 | 1 | b | a |
to look like this
Table2
Name | ID | Score 1 (primary) | Score 2 (primary) | Score 3 (secondary) | Type |
A | 100 | 1 | 1 | a | |
B | 200 | 1 | b | ||
C | 102 | 1 | 1 | a | |
C | 202 | 1 | b |
So each row of data has ID as the unique key and should only contain info specific to primary or secondary.
Primary should associate to IDs starting with "1" and "a" type, secondary with "2" and "b".
I know I can do
Solved! Go to Solution.
Hi @samwrite,
You can try to use the following power query codes to achieve your requirement:
Full query:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTI0MACSIAYUA1EiiIrViVZygvCNDKASUCVJMHlnsAFGYCVGSGbAFCUqxcYCAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t, #"ID-Primary" = _t, #"ID-Secondary" = _t, #"Score 1 (primary)" = _t, #"Score 2 (primary)" = _t, #"Score 3 (secondary)" = _t, #"Type 1 (first)" = _t, #"Type 2 (second)" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}, {"ID-Primary", Int64.Type}, {"ID-Secondary", Int64.Type}, {"Score 1 (primary)", Int64.Type}, {"Score 2 (primary)", Int64.Type}, {"Score 3 (secondary)", Int64.Type}, {"Type 1 (first)", type text}, {"Type 2 (second)", type text}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Name", "Score 1 (primary)", "Score 2 (primary)", "Score 3 (secondary)", "Type 1 (first)", "Type 2 (second)"}, "Attribute", "Value"),
#"Replaced Value" = Table.ReplaceValue(#"Unpivoted Columns",each [#"Type 1 (first)"] ,each if [Name]="C" and [Attribute]="ID-Primary" then [#"Type 2 (second)"] else [#"Type 1 (first)"],Replacer.ReplaceText,{"Type 1 (first)"}),
#"Removed Columns" = Table.RemoveColumns(#"Replaced Value",{"Type 2 (second)", "Attribute"}),
#"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Type 1 (first)", "Type"}, {"Value", "ID"}})
in
#"Renamed Columns"
Regards,
Xiaoxin Sheng
Hi @samwrite,
You can try to use the following power query codes to achieve your requirement:
Full query:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTI0MACSIAYUA1EiiIrViVZygvCNDKASUCVJMHlnsAFGYCVGSGbAFCUqxcYCAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t, #"ID-Primary" = _t, #"ID-Secondary" = _t, #"Score 1 (primary)" = _t, #"Score 2 (primary)" = _t, #"Score 3 (secondary)" = _t, #"Type 1 (first)" = _t, #"Type 2 (second)" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Name", type text}, {"ID-Primary", Int64.Type}, {"ID-Secondary", Int64.Type}, {"Score 1 (primary)", Int64.Type}, {"Score 2 (primary)", Int64.Type}, {"Score 3 (secondary)", Int64.Type}, {"Type 1 (first)", type text}, {"Type 2 (second)", type text}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Name", "Score 1 (primary)", "Score 2 (primary)", "Score 3 (secondary)", "Type 1 (first)", "Type 2 (second)"}, "Attribute", "Value"),
#"Replaced Value" = Table.ReplaceValue(#"Unpivoted Columns",each [#"Type 1 (first)"] ,each if [Name]="C" and [Attribute]="ID-Primary" then [#"Type 2 (second)"] else [#"Type 1 (first)"],Replacer.ReplaceText,{"Type 1 (first)"}),
#"Removed Columns" = Table.RemoveColumns(#"Replaced Value",{"Type 2 (second)", "Attribute"}),
#"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Type 1 (first)", "Type"}, {"Value", "ID"}})
in
#"Renamed Columns"
Regards,
Xiaoxin Sheng
@samwrite , My advice would be unpivoted these tables in the power query. Correct column name and values and then Append in power query
https://radacad.com/pivot-and-unpivot-with-power-bi
Append : https://radacad.com/append-vs-merge-in-power-bi-and-power-query
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