Data Cleaning: All data in rows > Convert to a proper table

goko

New Member
Joined
Jan 3, 2022
Messages
12
Office Version
  1. 2021
Platform
  1. Windows
Hi,
I want to solve this in Power Query

I have the following data.

Book1
D
8Sr. no.
9Product
10Qty
11Quality
121
13apple
1499
15average
162
17oranges
1842
19good
203
21banana
2210
23low
Sheet1


I want to transform this into a proper table

Book1
GHIJ
7Sr. no.ProductQtyQuality
81apple99average
92oranges42good
103banana10low
Sheet1


Thanks
 

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Do you have a header in D7?
 
Upvote 0
Do you have a header in D7?
No.

D8 till D11 are the headers and the subsequent data is in rows.

I tried to play around with index columns and adding +4 to index but that got me nowhere
 
Upvote 0
Assuming D8 onwards is a table called Table1, you could use:

Power Query:
let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    #"Demoted Headers" = Table.DemoteHeaders(Source),
    #"Changed Type" = Table.TransformColumnTypes(#"Demoted Headers",{{"Column1", type text}}),
    #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1),
#"Added Custom" = Table.AddColumn(#"Added Index", "Custom", each Number.RoundDown(([Index]-1)/4)+1),
    #"Added Custom1" = Table.AddColumn(#"Added Custom", "Custom.1", each Number.Mod([Index],4)),
    #"Removed Columns" = Table.RemoveColumns(#"Added Custom1",{"Index"}),
    #"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Removed Columns", {{"Custom.1", type text}}, "en-US"), List.Distinct(Table.TransformColumnTypes(#"Removed Columns", {{"Custom.1", type text}}, "en-US")[Custom.1]), "Custom.1", "Column1"),
    #"Removed Columns1" = Table.RemoveColumns(#"Pivoted Column",{"Custom"}),
    #"Promoted Headers" = Table.PromoteHeaders(#"Removed Columns1", [PromoteAllScalars=true]),
    #"Changed Type1" = Table.TransformColumnTypes(#"Promoted Headers",{{"Sr. no.", Int64.Type}, {"Product", type text}, {"Qty", Int64.Type}, {"Quality", type text}})
in
    #"Changed Type1"
 
Upvote 0
Solution
Assuming D8 onwards is a table called Table1, you could use:

Power Query:
let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    #"Demoted Headers" = Table.DemoteHeaders(Source),
    #"Changed Type" = Table.TransformColumnTypes(#"Demoted Headers",{{"Column1", type text}}),
    #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1),
#"Added Custom" = Table.AddColumn(#"Added Index", "Custom", each Number.RoundDown(([Index]-1)/4)+1),
    #"Added Custom1" = Table.AddColumn(#"Added Custom", "Custom.1", each Number.Mod([Index],4)),
    #"Removed Columns" = Table.RemoveColumns(#"Added Custom1",{"Index"}),
    #"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Removed Columns", {{"Custom.1", type text}}, "en-US"), List.Distinct(Table.TransformColumnTypes(#"Removed Columns", {{"Custom.1", type text}}, "en-US")[Custom.1]), "Custom.1", "Column1"),
    #"Removed Columns1" = Table.RemoveColumns(#"Pivoted Column",{"Custom"}),
    #"Promoted Headers" = Table.PromoteHeaders(#"Removed Columns1", [PromoteAllScalars=true]),
    #"Changed Type1" = Table.TransformColumnTypes(#"Promoted Headers",{{"Sr. no.", Int64.Type}, {"Product", type text}, {"Qty", Int64.Type}, {"Quality", type text}})
in
    #"Changed Type1"
Thank you very much
 
Upvote 0
Another way:

Power Query:
let
    lst = Excel.CurrentWorkbook(){[Name="Table1"]}[Content][Column1],
    ColCt = 4,
    Headers = List.FirstN(lst,ColCt),
    Rows = List.Generate(()=>ColCt, (x)=> x < List.Count(lst), (x)=>x+ColCt, (x)=> List.Range(lst,x,ColCt)),
    Result= Table.FromRows(Rows,Headers)
in
    Result

Book1
ABCDEFG
1Column1Sr. no.ProductQtyQuality
2Sr. no.1apple99average
3Product2oranges42good
4Qty3banana10low
5Quality
61
7apple
899
9average
102
11oranges
1242
13good
143
15banana
1610
17low
18
Sheet1
 
Upvote 0

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