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Hi, everyone!
As I'm new to Power BI, please, help me to solve my problem.
I have table with two columns. First one with Text Values which duplicates, and second one with Numeric Values.
And I need to transform this table to have unique values of First Column as Headers, and values from Second Column under each Header respectively.
Or if I can simply visualize my data this way from source table.
Many thanks in advance!
Solved! Go to Solution.
Hi @Anonymous ,
Is the number of values corresponding to each id the same? If it is the same, you can try the following M code, the "Source" is in my query and starting with "Changed Type", is in yours:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSlTSUTJUitWBsIzQWEnorFgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [name = _t, id = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"name", type text}, {"id", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"name"}, {{"Count", each _[id], type list}}),
InsertAndZip = List.Zip(Table.AddColumn(#"Grouped Rows", "Custom", each List.InsertRange(_[Count],0,{[name]}))[Custom]),
#"Converted to Table" = Table.FromList(InsertAndZip, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#"Extracted Values" = Table.TransformColumns(#"Converted to Table", {"Column1", each Text.Combine(List.Transform(_, Text.From), ","), type text}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "Column1", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Column1.1", "Column1.2"}),
#"Promoted Headers" = Table.PromoteHeaders(#"Split Column by Delimiter", [PromoteAllScalars=true]),
#"Changed Type2" = Table.TransformColumnTypes(#"Promoted Headers",{{"a", Int64.Type}, {"b", Int64.Type}})
in
#"Changed Type2"
Here is a demo, please try it:
Best Regards,
Community Support Team _ Joey
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous ,
As @parry2k said, you can use matrix visual, the result is shown below:
Best Regards,
Community Support Team _ Joey
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thank you, but it's not that I wanted.
As I have several values for the ID, matrix will summarize or other functions, however it will show one value for each ID, when I need to show ID values as a column, and under each ID all values without any functions.
I found the way with Quick measures to make a string from Values.
ID1 | ID 2 | ...
____________
2 | 5.5 | ...
54 | 44 | ...
... | ... | ...
But still I have a question if there any possibility to convert table to this view in Edit Query mode.
Many thanks in advance!
Hi @Anonymous ,
Is the number of values corresponding to each id the same? If it is the same, you can try the following M code, the "Source" is in my query and starting with "Changed Type", is in yours:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSlTSUTJUitWBsIzQWEnorFgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [name = _t, id = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"name", type text}, {"id", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"name"}, {{"Count", each _[id], type list}}),
InsertAndZip = List.Zip(Table.AddColumn(#"Grouped Rows", "Custom", each List.InsertRange(_[Count],0,{[name]}))[Custom]),
#"Converted to Table" = Table.FromList(InsertAndZip, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#"Extracted Values" = Table.TransformColumns(#"Converted to Table", {"Column1", each Text.Combine(List.Transform(_, Text.From), ","), type text}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "Column1", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Column1.1", "Column1.2"}),
#"Promoted Headers" = Table.PromoteHeaders(#"Split Column by Delimiter", [PromoteAllScalars=true]),
#"Changed Type2" = Table.TransformColumnTypes(#"Promoted Headers",{{"a", Int64.Type}, {"b", Int64.Type}})
in
#"Changed Type2"
Here is a demo, please try it:
Best Regards,
Community Support Team _ Joey
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Can You please help me one more time.
This script works fine, but sometimes I don't have values for some headers, and so in the end my columns are shifted.
Maybe You know how to fix it?
Many thanks in advance!
Hi @Anonymous ,
Try the following code, note the steps InsertAndZip:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSlTSUTJUitWBsIzArCTcrFgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [name = _t, id = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"name", type text}, {"id", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"name"}, {{"Count", each _[id], type list}}),
InsertAndZip = List.Transform(List.Zip(Table.AddColumn(#"Grouped Rows", "Custom", each List.InsertRange(_[Count],0,{[name]}))[Custom]), each List.Transform(_,each if _=null then "" else _)),
#"Converted to Table" = Table.FromList(InsertAndZip, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#"Extracted Values" = Table.TransformColumns(#"Converted to Table", {"Column1", each Text.Combine(List.Transform(_, Text.From), ","), type text}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "Column1", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"Column1.1", "Column1.2"}),
#"Promoted Headers" = Table.PromoteHeaders(#"Split Column by Delimiter", [PromoteAllScalars=true]),
#"Changed Type2" = Table.TransformColumnTypes(#"Promoted Headers",{{"a", Int64.Type}, {"b", Int64.Type}})
in
#"Changed Type2"
Here is a demo, please try it:
Best Regards,
Community Support Team _ Joey
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
It is exactly what I needed.
Thank you very much!
@Anonymous use matrix visual, put text value column on column section for matrix and numeric value column on value section of matix
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