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How to transpose duplicate rows to columns in Excel?

Supposing you have a range of data in Excel, now, you would like to transpose the duplicate rows to multiple columns as following screenshot shown, do you have any good ideas to solve this task?

Transpose duplicate rows to columns with VBA code

doc-convert-duplicate-rows-columns-1


Transform one column or row to a range or vice versa:
With Kutools for Excel’s Transform Range feature, you can quickly convert a range of cells to a single row or column, you can also convert a single row or column to a range of cells. Read more about this feature...
doc transpose range

arrow blue right bubble Transpose duplicate rows to columns with VBA code


Unfortunately, there is no direct way for you to deal with it in Excel, but you can create a VBA code to solve it, please do as follows:

1. Hold down the ALT + F11 keys to open the Microsoft Visual Basic for Applications window.

2. Click Insert > Module, and paste the following code in the Module Window.

VBA code: Transpose duplicate rows to multiple columns

Sub ConvertTable()
'Update 20150113
Dim xArr1 As Variant
Dim xArr2 As Variant
Dim InputRng As Range, OutRng As Range
Dim xRows As Long
xTitleId = "KutoolsforExcel"
Set InputRng = Application.Selection
Set InputRng = Application.InputBox("Range :", xTitleId, InputRng.Address, Type:=8)
Set OutRng = Application.InputBox("Out put to (single cell):", xTitleId, Type:=8)
Set OutRng = OutRng.Range("A1")
xArr1 = InputRng.Value
t = UBound(xArr1, 2): xRows = 1
With CreateObject("Scripting.Dictionary")
    .CompareMode = 1
    For i = 2 To UBound(xArr1, 1)
        If Not .exists(xArr1(i, 1)) Then
            xRows = xRows + 1: .Item(xArr1(i, 1)) = VBA.Array(xRows, t)
            For ii = 1 To t
                xArr1(xRows, ii) = xArr1(i, ii)
            Next
        Else
            xArr2 = .Item(xArr1(i, 1))
            If UBound(xArr1, 2) < xArr2(1) + t - 1 Then
                ReDim Preserve xArr1(1 To UBound(xArr1, 1), 1 To xArr2(1) + t - 1)
                For ii = 2 To t
                    xArr1(1, xArr2(1) + ii - 1) = xArr1(1, ii)
                Next
            End If
            For ii = 2 To t
                xArr1(xArr2(0), xArr2(1) + ii - 1) = xArr1(i, ii)
            Next
            xArr2(1) = xArr2(1) + t - 1: .Item(xArr1(i, 1)) = xArr2
        End If
    Next
End With
OutRng.Resize(xRows, UBound(xArr1, 2)).Value = xArr1
End Sub

3. Then press F5 key to run this code, select the data range that you want to convert the duplicate rows to multiple columns in the popped out dialog, see screenshot:

doc-convert-duplicate-rows-columns-2

4. Click OK, and select one cell where you want to put the result in the following dialog box, see screenshot:

doc-convert-duplicate-rows-columns-3

5. And then click OK button, your selected data has been converted to follows:

doc-convert-duplicate-rows-columns-4


Related articles:

How to transpose / convert columns and rows into single row?

How to transpose / convert columns and rows into single column?

How to transpose / convert a single column to multiple columns in Excel?


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  • To post as a guest, your comment is unpublished.
    Joe · 8 months ago
    This works fine for me with different number of duplicates Brian. I only had a problem with the first duplicate showing twice on my output, but that was very minor. I only wish I knew how to make it copy the duplicate results into a comma delimited format instead of new columns for each one.
  • To post as a guest, your comment is unpublished.
    Brian · 9 months ago
    Only works if there's the same number of duplicates and call him a. It doesn't work at if have different numbers of duplicates.
  • To post as a guest, your comment is unpublished.
    Alex · 2 years ago
    Really great. Saved me a lot of time
  • To post as a guest, your comment is unpublished.
    Jon · 3 years ago
    I am so incredibly happy this worked. You are my hero!!!!
  • To post as a guest, your comment is unpublished.
    Santosh · 4 years ago
    Awesome Example - saved me a lot of time.
    Thank You so much !!!