Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hello,
I have 2 different data sources/tables. 1 Table looks like this:
| Product | Days of Supply | Owner |
| Pencil | 10 | Ethan |
| Book | 3 | Joe |
| Paper | 1 | Joe |
| Marker | 18 | Todd |
| Pen | 6 | Todd |
| Folder | 5 | Ethan |
Table 2 is a similar table, but only contains 2 of the items in the first table and it shows the status.
| Product | Status |
| Pencil | Out of Stock |
| Marker | Out of Stock |
I want the first data set to look into table 2 and show the status. If the item isnt in the table 2, it have something like "In stock" or N/A or some other general saying everytime.
| Product | Days of Supply | Owner | Status |
| Pencil | 10 | Ethan | Out of Stock |
| Book | 3 | Joe | N/a |
| Paper | 1 | Joe | N/a |
| Market | 18 | Todd | Out of Stock |
| Pen | 6 | Todd | N/a |
| Folder | 5 | Ethan | N/a |
Solved! Go to Solution.
Hi @ethanlsaul
This can be best done in Power Query with a merge. Place the following M code in a blank query to see the steps.
See it all at work in the attached file.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCkjNS87MUdJRMjQAEq4lGYl5SrE60UpO+fnZQAFjIPbKTwULBSQWpBaBVCKJ+SYWZUMELYBESH5KCkRpah6Qa4Ys5JafkwJWaYqwJxYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Product = _t, #"Days of Supply" = _t, Owner = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Product", type text}, {"Days of Supply", Int64.Type}, {"Owner", type text}}),
#"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Product"}, Table2, {"Product"}, "Table2", JoinKind.LeftOuter),
#"Expanded Table2" = Table.ExpandTableColumn(#"Merged Queries", "Table2", {"Status"}, {"Status"}),
#"Replaced Value" = Table.ReplaceValue(#"Expanded Table2",null,"N/A",Replacer.ReplaceValue,{"Status"})
in
#"Replaced Value"
|
|
Please accept the solution when done and consider giving a thumbs up if posts are helpful. Contact me privately for support with any larger-scale BI needs, tutoring, etc. |
Hi @ethanlsaul
This can be best done in Power Query with a merge. Place the following M code in a blank query to see the steps.
See it all at work in the attached file.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCkjNS87MUdJRMjQAEq4lGYl5SrE60UpO+fnZQAFjIPbKTwULBSQWpBaBVCKJ+SYWZUMELYBESH5KCkRpah6Qa4Ys5JafkwJWaYqwJxYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Product = _t, #"Days of Supply" = _t, Owner = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Product", type text}, {"Days of Supply", Int64.Type}, {"Owner", type text}}),
#"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Product"}, Table2, {"Product"}, "Table2", JoinKind.LeftOuter),
#"Expanded Table2" = Table.ExpandTableColumn(#"Merged Queries", "Table2", {"Status"}, {"Status"}),
#"Replaced Value" = Table.ReplaceValue(#"Expanded Table2",null,"N/A",Replacer.ReplaceValue,{"Status"})
in
#"Replaced Value"
|
|
Please accept the solution when done and consider giving a thumbs up if posts are helpful. Contact me privately for support with any larger-scale BI needs, tutoring, etc. |
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
Check out the November 2025 Power BI update to learn about new features.
| User | Count |
|---|---|
| 69 | |
| 46 | |
| 44 | |
| 28 | |
| 19 |
| User | Count |
|---|---|
| 199 | |
| 129 | |
| 102 | |
| 69 | |
| 55 |