Extract cells values under conditions (ignore blank cells)

smide

Board Regular
Joined
Dec 20, 2015
Messages
162
Office Version
  1. 2016
Platform
  1. Windows
Hello.

In column A (A1:A200) I have a cities, in column B shipping costs and in column C there is a 'mark' (letter "A") or a blank cell.

I need to extract values for each city only if there is a mark in that row (row with letter A in column C).

Column E is already populated with all cities (from column A) and results for each city should be placed in corresponding row(s) (from column F to column Z).

example.

A B C D E F G
1Toronto 45 AToronto 45 33
2Melbourne 12Melbourne 76 44
3Melbourne 76 AVienna 96
4Vienna 18
5Toronto 9
6Melbourne 44 A
7Vienna 96 A
8Toronto 33 A
9Vienna 106
 

Excel Facts

Difference between two dates
Secret function! Use =DATEDIF(A2,B2,"Y")&" years"&=DATEDIF(A2,B2,"YM")&" months"&=DATEDIF(A2,B2,"MD")&" days"
How about
Fluff.xlsm
ABCDEFGH
1
2Toronto45AToronto4533 
3Melbourne12Melbourne7644 
4Melbourne76AVienna96  
5Vienna18
6Toronto9
7Melbourne44A
8Vienna96A
9Toronto33A
10Vienna106
11
Sheet7
Cell Formulas
RangeFormula
F2:H4F2=IFERROR(INDEX($B:$B,AGGREGATE(15,6,ROW($B$2:$B$100)/($A$2:$A$100=$E2)/($C$2:$C$100<>""),COLUMNS($E2:E2))),"")
 
Upvote 0
Solution
PQ solution (dynamic)

Power Query:
let
    Source = Excel.CurrentWorkbook(){[Name="Table3"]}[Content],
    cTypes = Table.TransformColumnTypes(Source,{{"Column2", type text}}),
    fltr = Table.SelectRows(cTypes, each ([Column3] = "A")),
    grp = Table.Group(fltr, {"Column1"}, {{"Count", each Text.Combine(_[Column2],"|")}}),
    xMaxList =  List.Transform({
        1..List.Max(
         Table.AddColumn(grp, "Custom", each 
            List.Count(
                Text.PositionOfAny([Count], {"|"}, Occurrence.All)
            ))[Custom]
        ) +1
 
    }, each "V" & Text.From(_)),
    result = Table.SplitColumn(grp, "Count", Splitter.SplitTextByDelimiter("|", QuoteStyle.Csv), xMaxList)
in
    result


Test multilevel drop-down list.xlsx
ABCDEFGHI
1Column1Column2Column3Column1V1V2
2Toronto45AToronto4533
3Melbourne12Melbourne7644
4Melbourne76AVienna96
5Vienna18
6Toronto9
7Melbourne44A
8Vienna96A
9Toronto33A
10
Sheet2
 
Upvote 0

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