Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
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. |
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 45 | |
| 35 | |
| 30 | |
| 15 | |
| 15 |
| User | Count |
|---|---|
| 58 | |
| 56 | |
| 38 | |
| 21 | |
| 21 |