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Anonymous
Not applicable

Transposing table with null values

 

Is it possible to achive transposing the table like below with null values? I've tried clicking on "Transpose" in Power query and it's not transforming the way I want.. any help would be appreciated!! 

 

yham1023_1-1672788002722.png

 

 

 

DeptID Directors_mathDirectors_sci
111nullHaley
111nullJamie
111nullLee
222AmyKJenny
222AmyKSam

 

1 ACCEPTED SOLUTION
v-jingzhang
Community Support
Community Support

Hi @Anonymous 

 

You can try this. I have attached a sample file at bottom. 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQ0VNJRyivNyQFSHok5qZVKsTpowl6JuZmpmMI+qRBBIyMjIM8xt9IbpDY1L68SUzg4MVcpNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"DeptID " = _t, Directors_math = _t, Directors_sci = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"DeptID ", Int64.Type}, {"Directors_math", type text}, {"Directors_sci", type text}}),
    #"Grouped Rows" = Table.Group(#"Changed Type", {"DeptID "}, {{"Directors_math", each [Directors_math], type nullable list}, {"Directors_sci", each [Directors_sci], type nullable list}}),
    #"Extracted Values" = Table.TransformColumns(#"Grouped Rows", {"Directors_math", each Text.Combine(List.Transform(_, Text.From), ";"), type text}),
    #"Extracted Values1" = Table.TransformColumns(#"Extracted Values", {"Directors_sci", each Text.Combine(List.Transform(_, Text.From), ";"), type text}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values1", "Directors_math", Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv), {"Directors_math.1", "Directors_math.2", "Directors_math.3"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Directors_math.1", type text}, {"Directors_math.2", type text}, {"Directors_math.3", type text}}),
    #"Split Column by Delimiter1" = Table.SplitColumn(#"Changed Type1", "Directors_sci", Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv), {"Directors_sci.1", "Directors_sci.2", "Directors_sci.3"}),
    #"Changed Type2" = Table.TransformColumnTypes(#"Split Column by Delimiter1",{{"Directors_sci.1", type text}, {"Directors_sci.2", type text}, {"Directors_sci.3", type text}})
in
    #"Changed Type2"

vjingzhang_0-1672796165556.png

 

Best Regards,
Community Support Team _ Jing
If this post helps, please Accept it as Solution to help other members find it. Highly appreciate your Kudos!

View solution in original post

2 REPLIES 2
wdx223_Daniel
Community Champion
Community Champion

wdx223_Daniel_0-1672796506662.png

= let a=Table.ColumnNames(Source) in Table.Combine(Table.Group(Source,"DeptID ",{"n",each #table({a{0}}&List.TransformMany(List.Skip(a),(x)=>List.Positions([#"DeptID "]),(x,y)=>x&"_"&Text.From(y+1)),{{[#"DeptID "]{0}}&List.Combine(List.Skip(Table.ToColumns(_)))})})[n])

 

v-jingzhang
Community Support
Community Support

Hi @Anonymous 

 

You can try this. I have attached a sample file at bottom. 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQ0VNJRyivNyQFSHok5qZVKsTpowl6JuZmpmMI+qRBBIyMjIM8xt9IbpDY1L68SUzg4MVcpNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"DeptID " = _t, Directors_math = _t, Directors_sci = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"DeptID ", Int64.Type}, {"Directors_math", type text}, {"Directors_sci", type text}}),
    #"Grouped Rows" = Table.Group(#"Changed Type", {"DeptID "}, {{"Directors_math", each [Directors_math], type nullable list}, {"Directors_sci", each [Directors_sci], type nullable list}}),
    #"Extracted Values" = Table.TransformColumns(#"Grouped Rows", {"Directors_math", each Text.Combine(List.Transform(_, Text.From), ";"), type text}),
    #"Extracted Values1" = Table.TransformColumns(#"Extracted Values", {"Directors_sci", each Text.Combine(List.Transform(_, Text.From), ";"), type text}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values1", "Directors_math", Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv), {"Directors_math.1", "Directors_math.2", "Directors_math.3"}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Directors_math.1", type text}, {"Directors_math.2", type text}, {"Directors_math.3", type text}}),
    #"Split Column by Delimiter1" = Table.SplitColumn(#"Changed Type1", "Directors_sci", Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv), {"Directors_sci.1", "Directors_sci.2", "Directors_sci.3"}),
    #"Changed Type2" = Table.TransformColumnTypes(#"Split Column by Delimiter1",{{"Directors_sci.1", type text}, {"Directors_sci.2", type text}, {"Directors_sci.3", type text}})
in
    #"Changed Type2"

vjingzhang_0-1672796165556.png

 

Best Regards,
Community Support Team _ Jing
If this post helps, please Accept it as Solution to help other members find it. Highly appreciate your Kudos!

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