Merge duplicate columns on full outer join

[Anonymous]

I like explaining with pictures a lot more:

https://i.ibb.co/gy0PLcZ/pbi.png

Some sample data you can copy for testing:

Antivirus

Company (AV)	Computer (AV)	Antivirus Version
Yipee	BACONATOR	12.445
Tundra	ALOHA	12.367
Tundra	GRANDPA	12.367
Yipee	NETHERLANDS	12.445

Live Monitoring

Company (M)	Computer (M)	Monitor Version
Yipee	BACONATOR	120.812
Tundra	ALOHA	120.812
Yipee	NETHERLANDS	118.554
Tundra	SUPERCALI	120.812
Tundra	OSTEOPOROSIS	118.554

-----

Hello, we're trying to audit our computers' software installations: We need to know if they are missing either their Antivirus software or their Monitoring software. We're doing this by comparing the 2 datasets with a "FULL OUTER Join". (If "Monitor Version" or "Antivirus Version" columns have a blank value after the join, we can assume the computer is missing that respective software package.)

We're fuzzy-joining the datasets by using the "Company" and "Computer" columns (found in both datasets) as the [foreign] keys.

We currently have to retain the "Company" and "Computer" columns from both datasets after the join--to know which Company & Computer a given row belongs to--in case a given computer is missing from one of the datasets.

Our goal is this: Merge the data from the duplicate "Company" and "Computer" columns from both datasets into new single master "Company" and "Computer" columns.

New "Company" & "Computer" column conditions:

• If "Company" and "Computer" data exists from BOTH tables for a given row, only show the company & computer data from the "Live Monitoring" table.
• (Obviously) If company & computer data are missing from one dataset but exist in the other, show the company & computer data from the table that has it.

I look forward to any help--Thank you

[Ashish_Mathur · Accepted solution]

Hi,

You may download my PBI file from here.

Hope this helps.

[lbendlin]

let
Source = Table.NestedJoin(Antivirus, {"Company (AV)", "Computer (AV)"}, #"Live Monitoring", {"Company (M)", "Computer (M)"}, "Live Monitoring", JoinKind.FullOuter),
#"Expanded Live Monitoring" = Table.ExpandTableColumn(Source, "Live Monitoring", {"Company (M)", "Computer (M)", "Monitor Version"},{"Company", "Computer", "Monitor Version"}),
#"Replaced Value" = Table.ReplaceValue(#"Expanded Live Monitoring",null,each [Company],Replacer.ReplaceValue,{"Company (AV)"}),
#"Replaced Value1" = Table.ReplaceValue(#"Replaced Value",null,each [Computer],Replacer.ReplaceValue,{"Computer (AV)"}),
#"Removed Other Columns" = Table.SelectColumns(#"Replaced Value1",{"Company (AV)", "Computer (AV)", "Antivirus Version", "Monitor Version"}),
#"Renamed Columns" = Table.RenameColumns(#"Removed Other Columns",{{"Company (AV)", "Company"}, {"Computer (AV)", "Computer"}})
in
#"Renamed Columns"