Power Query Columns

bbrancotronex

New Member
Joined
Jun 19, 2023
Messages
4
Office Version
  1. 365
Platform
  1. Windows
Hi,
I have the following data

Table1
INV_NUM INV_DTE
12345 01/02/23
23456 01/10/23
23455 01/13/23

Table 2
INV_NUM TYPE AMOUNT
12345 1 10.00
12345 3 20.00
23456 1 15.00
23456 4 20.00

Results
INV_NUM INV_DTE VALUETYPE1 VALUETYPE3 VALUETYPE4

12345 01/02/23 10.00
12345 01/02/23 20.00
23456 01/10/23 15.00
23456 01/10/23 20.00
23455 01/13/23

Can this be done in Power Query? Basically I n
 

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Merge queries on the INV_NUM with a left outer join. Then expand the table column
 
Upvote 0
Merge queries on the INV_NUM with a left outer join. Then expand the table column
That will show me the fields in table 2, but I dont see how it would put it in columns based on the type column?
 
Upvote 0
Power Query:
let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    Source_two = Table.TransformColumnTypes(Excel.CurrentWorkbook(){[Name="Table2"]}[Content],{{"type", type text}}),
    merge = Table.NestedJoin(Source, {"num"}, Source_two, {"num"}, "Table2", JoinKind.LeftOuter),
    exp = Table.ExpandTableColumn(merge, "Table2", {"type", "amount"}, {"type", "amount"}),
    dup = Table.DuplicateColumn(exp, "num", "numm"),
    piv = Table.Pivot(dup, List.Sort(List.Distinct(dup[#"type"])), "type", "numm", List.Count),
    out = Table.TransformColumnNames( piv, (x)=>  if List.Contains({1..9}, try Number.FromText(x) otherwise x) then "VALUETYPE" & x else x)
in
    out


Book1
ABCDEFGHIJ
1numtestnumtypeamount
21a1910
32b1520
43c2615
52120
62425
7355
83710
9
10
11
12
13numtestamountVALUETYPE1VALUETYPE4VALUETYPE5VALUETYPE6VALUETYPE7VALUETYPE9
141a10000001
151a20001000
162b15000100
172b20100000
182b25010000
193c5001000
203c10000010
21
Sheet1
 
Upvote 0
This is a better example of what I need for the input and output
This is a better example of the input and output I need
INPUT
Inv #INV DteCategory CodeCategoryAmt
1234
2/1/2023​
1​
Freight$ 30.00
1234
2/1/2023​
2​
Processing Fee$ 25.00
1234
2/1/2023​
3​
Credit Card$ 15.00
2345
2/3/2023​
1​
Freight$ 6.00
2345
2/3/2023​
2​
Processing Fee$ 12.00
2345
2/3/2023​
4​
Handling$ 16.00
Output
Inv #INV DteCategory 1Category 2Category 3Category 4
1234
2/1/2023​
$ 30.00$ 25.00$ 15.00
2345
2/3/2023​
$ 6.00$ 12.00$ 16.00
 
Upvote 0
In that case it's easier. You should pivot on Amount. Based on my previous example

Power Query:
let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    Source_two = Table.TransformColumnTypes(Excel.CurrentWorkbook(){[Name="Table2"]}[Content],{{"type", type text}}),
    merge = Table.NestedJoin(Source, {"num"}, Source_two, {"num"}, "Table2", JoinKind.LeftOuter),
    exp = Table.ExpandTableColumn(merge, "Table2", {"type", "amount"}, {"type", "amount"}),
    piv = Table.Pivot(exp, List.Sort(List.Distinct(exp[#"type"])), "type", "amount", List.Sum),
    out = Table.TransformColumnNames( piv, (x)=>  if List.Contains({1..9}, try Number.FromText(x) otherwise x) then "VALUETYPE" & x else x)
in
    out
 
Upvote 0
create two tables named as table1 and table2
Then open a blank query via get data. Go to the advanced editor and paste the code
 
Upvote 0

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