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ayaasfour
Frequent Visitor

Convert multiple rows same date into on rows and convert other rows into columns

Hello , please I need help to do this ..I need to convert this table

 

DateValue
2021-08-09   10
2021-08-09   20
2021-08-09   30
2021-08-10   50

 

to be in this format

 

3020102021-08-09
  502021-08-10

 

How I can do this ?

2 ACCEPTED SOLUTIONS
v-yetao1-msft
Community Support
Community Support

Hi @ayaasfour 

There is a simple method that can be implemented directly in the Matrix, but the result display will be a little different, you can refer to it .

Put the value column in Columns and Values at the same time in Visual Format .

Ailsamsft_0-1628733124486.png

Ailsamsft_1-1628733124488.png

Best Regards

Community Support Team _ Ailsa Tao

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

Ashish_Mathur
Super User
Super User

Hi,

This M code works

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMrDUNbDQNTIwMlTSUTI0UIrVQRMzwiJmDBEzNEASMwWKxQIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, Value = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Value", Int64.Type}}),
    Partition = Table.Group(#"Changed Type", {"Date"}, {{"Partition", each Table.AddIndexColumn(_, "Index",1,1), type table}}),
    #"Expanded Partition" = Table.ExpandTableColumn(Partition, "Partition", {"Value", "Index"}, {"Value", "Index"}),
    #"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Expanded Partition", {{"Index", type text}}, "en-IN"), List.Distinct(Table.TransformColumnTypes(#"Expanded Partition", {{"Index", type text}}, "en-IN")[Index]), "Index", "Value")
in
    #"Pivoted Column"

Hope this helps.

Untitled.png


Regards,
Ashish Mathur
http://www.ashishmathur.com
https://www.linkedin.com/in/excelenthusiasts/

View solution in original post

4 REPLIES 4
Ashish_Mathur
Super User
Super User

Hi,

This M code works

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMrDUNbDQNTIwMlTSUTI0UIrVQRMzwiJmDBEzNEASMwWKxQIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, Value = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Value", Int64.Type}}),
    Partition = Table.Group(#"Changed Type", {"Date"}, {{"Partition", each Table.AddIndexColumn(_, "Index",1,1), type table}}),
    #"Expanded Partition" = Table.ExpandTableColumn(Partition, "Partition", {"Value", "Index"}, {"Value", "Index"}),
    #"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Expanded Partition", {{"Index", type text}}, "en-IN"), List.Distinct(Table.TransformColumnTypes(#"Expanded Partition", {{"Index", type text}}, "en-IN")[Index]), "Index", "Value")
in
    #"Pivoted Column"

Hope this helps.

Untitled.png


Regards,
Ashish Mathur
http://www.ashishmathur.com
https://www.linkedin.com/in/excelenthusiasts/
v-yetao1-msft
Community Support
Community Support

Hi @ayaasfour 

There is a simple method that can be implemented directly in the Matrix, but the result display will be a little different, you can refer to it .

Put the value column in Columns and Values at the same time in Visual Format .

Ailsamsft_0-1628733124486.png

Ailsamsft_1-1628733124488.png

Best Regards

Community Support Team _ Ailsa Tao

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

ayaasfour
Frequent Visitor

Can not be solved using matrix?

amitchandak
Super User
Super User

@ayaasfour , not excat same display

 

create a rank column in table

rank = rankx(filter(Table, [Date] = earlier([Date]) ),[Value])

 

Create a matrix with Rank as the column date as row, value on values

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