Merge duplicate data across different columns and return sum of its qty

S

StarG

New Member
Joined
Nov 5, 2018
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I have data being entered into non-adjacent columns that I want to merge, sum then remove the duplicated name. I do not have a master floor type list to query as there are over 50k types. Example, Floor Tile. There are potentially 5 different floor tile types being entered per row (house) and I need to be able to query all columns and produce a single total qty for the material on a separate sheet for purchasing to order from.

EX Data Entered:
[TABLE="width: 500"]
<tbody>[TR]
[TD][TABLE="class: grid, width: 129"]
<tbody>[TR]
[TD="width: 129"]Floor Tile 1[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD="class: xl69, width: 89"] FT Qty 1 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD="class: xl68, width: 129"]Floor Tile 2[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD="class: xl69, width: 89"] FT Qty 2 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD="class: xl68, width: 129"]Floor Tile 3[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD="class: xl69, width: 89"] FT Qty 3 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD="class: xl68, width: 129"]Floor Tile 4[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD="class: xl69, width: 89"] FT Qty 4 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD="class: xl69, width: 89"]Floor Tile 5[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD="class: xl69, width: 89"] FT Qty 5 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[/TR]
[TR]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]CEBOTHUES18[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 1,400.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]CETEXBEIG18[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 1,100.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]PNWOOSTUC836[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 1,600.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]FLFORMYST624[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 1,400.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]ALALABLAN117[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 2,100.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]CETEXBEIG18[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 1,200.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]FLFORMYST624[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 1,400.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]MZARTAVOR20[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 150.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]CETEXBEIG18[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 1,200.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]CETEXHUES18[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 1,900.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]EGCLAIVOR1224[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 2,400.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]LAPOSBLAN21[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 150.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]CEORLHUES18[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 1,500.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]EGMARWALN624[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 200.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]EGMARGREY624[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 150.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[/TR]
[TR]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]CEBOTHUES18[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 1,100.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]ALBOSNOCE17[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 50.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]RNPRICESA20[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD]1,200.00
[/TD]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]PNWOOSTUC836[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD]200.00[/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
[TR]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]LAEQUSAGE18[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 89"]
<tbody>[TR]
[TD] 100.00 [/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]FLFORMYST624[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD]1,200.00[/TD]
[TD]CETEXBEIG18[/TD]
[TD]150.00[/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[/TR]
</tbody>[/TABLE]


Example Final Report
[TABLE="class: outer_border, width: 250"]
<tbody>[TR]
[TD]CEBOTHUES18[/TD]
[TD]2,500.00[/TD]
[/TR]
[TR]
[TD]CETEXBEIG18[/TD]
[TD]3,650.00[/TD]
[/TR]
[TR]
[TD]PNWOOSTUC836[/TD]
[TD]1,800.00[/TD]
[/TR]
[TR]
[TD]FLFORMYST624[/TD]
[TD]4,000.00[/TD]
[/TR]
[TR]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]ALALABLAN117[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD]2,100.00 [/TD]
[/TR]
[TR]
[TD]MZARTAVOR20[/TD]
[TD]150.00[/TD]
[/TR]
[TR]
[TD]EGCLAIVOR1224[/TD]
[TD]2,400.00[/TD]
[/TR]
[TR]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]LAPOSBLAN21[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD]150
[/TD]
[/TR]
[TR]
[TD][TABLE="width: 129"]
<tbody>[TR]
[TD]CEORLHUES18[/TD]
[/TR]
</tbody>[/TABLE]
[/TD]
[TD]1,500.00[/TD]
[/TR]
</tbody>[/TABLE]

HELP!
 

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Hi & welcome to MrExcel.
Are you interested in a VBA approach?
Also if the columns are not adjacent, which columns are your data in?
 
Upvote 0
I am interested in ANYTHING that will work. :)

The data is in all 10 columns but split (as shown) by each type then qty.

EX:
Tile Type 1 = Column A Qty for Type 1 = Column B
Tile Type 2 = Column C Oty for Type 2 = Column D
Tile Type 3 = Column E Qty for Type 3 = Column F

I need to merge all similar Tile Types, return the sum, and display in an easy to read table.
 
Upvote 0
In that case try this
Code: 
Sub AddValues()
   Dim Cl As Range
   Dim UsdRws As Long
   
   UsdRws = Range("A" & Rows.Count).End(xlUp).Row
   With CreateObject("scripting.dictionary")
      For Each Cl In Intersect(Rows("2:" & UsdRws), Range("A:A,C:C,E:E,G:G,I:I"))
         If Cl.Value <> "" Then .Item(Cl.Value) = .Item(Cl.Value) + Cl.Offset(, 1).Value
      Next Cl
      Range("A" & UsdRws + 10).Resize(.Count).Value = Application.Transpose(.Keys)
      Range("B" & UsdRws + 10).Resize(.Count).Value = Application.Transpose(.Items)
   End With
End Sub
 
Upvote 0
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