Duplicating Rows based on Value in Column

[hackfifi]

Hi All - I need support via Power Query to transfrom my data as below:

Essentially Duplicated the Rows, and convert the "count" to 1

Also, data table is added below the screenshot.

Cheers!!

Type	Jan-20	Feb-20	Mar-20	Apr-20
A	1	1	2	2
B	2	2	2	1
C	1	1	3	3

[collinq]

Hi @hackfifi ,,

I think that this will get you there and then you can change the value to "1" from "2" or "3".

https://community.powerbi.com/t5/Desktop/Create-Duplicate-Entries-based-on-Column-Value/td-p/359228

I would appreciate Kudos if my response was helpful. I would also appreciate it if you would Mark this As a Solution if it solved the problem. Thanks!

[hackfifi]

@collinq thanks mate - but that doesnt work as i need to do this in the POWER QUERY, and the complication is my "count" is across columns (i.e. by month)

I tried unpivoting the data and doing it; but no luck.

Appreciate your response.

[dax · Accepted solution]

Hi @hackfifi , 

You could try below M code 

let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTKEYiMwjtWJVnKC8yDYECzqjKTWGIxjYwE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Type = _t, #"Jan-20" = _t, #"Feb-20" = _t, #"Mar-20" = _t, #"Apr-20" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Type", type text}, {"Jan-20", Int64.Type}, {"Feb-20", Int64.Type}, {"Mar-20", Int64.Type}, {"Apr-20", Int64.Type}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Type"}, "Attribute", "Value"),
    #"Added Custom1" = Table.AddColumn(#"Unpivoted Columns", "Custom", each {Number.From(1)..Number.From([Value])}),
    #"Expanded Custom" = Table.ExpandListColumn(#"Added Custom1", "Custom"),
    #"Pivoted Column" = Table.Pivot(#"Expanded Custom", List.Distinct(#"Expanded Custom"[Attribute]), "Attribute", "Value", List.Count),
    #"Removed Columns" = Table.RemoveColumns(#"Pivoted Column",{"Custom"}),
    #"Replaced Value" = Table.ReplaceValue(#"Removed Columns",0,null,Replacer.ReplaceValue,{"Jan-20", "Feb-20", "Mar-20", "Apr-20"})
in
    #"Replaced Value"

Best Regards,
Zoe Zhi

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

[hackfifi]

Thanks @dax - that worked!

@collinq - thanks for your support again!

[collinq]

Hi @hackfifi ,

I have run out of time but I ALMOST have it.  Since I won't get back to this for about 4 days I am giving what I have right now.  I did an unpivot and a pivot and I get this result:

Type	20-Jan	20-Feb	20-Mar	20-Apr
A	1	1	0	0
A	0	0	1	1
B	0	0	0	1
B	1	1	1	0
C	1	1	0	0
C	0	0	1	1

What is missing is the expected third row of "C".  I am wondering if we put a "count" or an index field or something that we can add to the pivot?  Let me know how it goes, I will check back next week when I can.

I built my own data table to match your original (or so I think) so my source and yours will differ....

Here is the code I used to get there:

let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTKEYiMwjtWJVnKC8yDYECzqjKTWGIxjYwE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Type = _t, #"Jan-20" = _t, #"Feb-20" = _t, #"Mar-20" = _t, #"Apr-20" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Type", type text}, {"Jan-20", Int64.Type}, {"Feb-20", Int64.Type}, {"Mar-20", Int64.Type}, {"Apr-20", Int64.Type}}),
#"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Type"}, "Attribute", "Value"),
#"Renamed Columns" = Table.RenameColumns(#"Unpivoted Columns",{{"Attribute", "Month"}}),
#"Added Custom" = Table.AddColumn(#"Renamed Columns", "GiveMea1", each 1),
#"Changed Type1" = Table.TransformColumnTypes(#"Added Custom",{{"GiveMea1", type text}}),
#"Pivoted Column" = Table.Pivot(#"Changed Type1", List.Distinct(#"Changed Type1"[Month]), "Month", "GiveMea1", List.Count),
#"Removed Columns" = Table.RemoveColumns(#"Pivoted Column",{"Value"})
in
#"Removed Columns"

I would appreciate Kudos if my response was helpful. I would also appreciate it if you would Mark this As a Solution if it solved the problem. Thanks!