This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowJuly 28 - August 9 | Final Round of the Power BI Dataviz World Championships. This is your chance. Learn more
Hi Everyone,
I have a table of many SKU's with a status column, and its value. I want to create a custom column that evaluates the value of all rows per SKU. When at least one status is TRUE, then the value of Check column is TRUE, if all the values are FALSE, then false, and if all the values are Uknown, then uknown. How can I create that column using Power query?
Thanks!
| SKU | Status | Value | Check |
| 1001 | A | TRUE | TRUE |
| 1001 | B | TRUE | TRUE |
| 1001 | C | TRUE | TRUE |
| 1001 | D | FALSE | TRUE |
| 1001 | E | TRUE | TRUE |
| 1001 | F | TRUE | TRUE |
| 1001 | G | UNKNOWN | TRUE |
| 1002 | A | FALSE | FALSE |
| 1002 | B | FALSE | FALSE |
| 1003 | A | UNKNOWN | TRUE |
| 1003 | B | UNKNOWN | TRUE |
| 1003 | C | TRUE | TRUE |
| 1004 | A | UNKNOWN | UNKNOWN |
| 1004 | B | UNKNOWN | UNKNOWN |
Solved! Go to Solution.
Hi @Anonymous
One way to do it, group by SKU and check the value, then join. Do you have cases that not all are FALSE or UNKNOWN, say 1 FALSE + 1 UNKNOWN?
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQwMFTSUXIE4pCgUFelWB24mBMWMWcsYi5A7OboE4wi6IpFoRsWMXcgDvXz9vMP94MJG0Hdg2KmEdRBKILGUJVoBhhD1WIRRne/CXYTTNBNiAUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [SKU = _t, Status = _t, Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"SKU", Int64.Type}, {"Status", type text}, {"Value", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"SKU"}, {{"Check", each if List.Contains( [Value], "TRUE") then "TRUE"
else List.Distinct([Value]){0}}}),
#"Merged Queries" = Table.NestedJoin(#"Changed Type", {"SKU"}, #"Grouped Rows", {"SKU"}, "Grouped Rows", JoinKind.LeftOuter),
#"Expanded Grouped Rows" = Table.ExpandTableColumn(#"Merged Queries", "Grouped Rows", {"Check"}, {"Check"})
in
#"Expanded Grouped Rows"
Hi @Anonymous
One way to do it, group by SKU and check the value, then join. Do you have cases that not all are FALSE or UNKNOWN, say 1 FALSE + 1 UNKNOWN?
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjQwMFTSUXIE4pCgUFelWB24mBMWMWcsYi5A7OboE4wi6IpFoRsWMXcgDvXz9vMP94MJG0Hdg2KmEdRBKILGUJVoBhhD1WIRRne/CXYTTNBNiAUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [SKU = _t, Status = _t, Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"SKU", Int64.Type}, {"Status", type text}, {"Value", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"SKU"}, {{"Check", each if List.Contains( [Value], "TRUE") then "TRUE"
else List.Distinct([Value]){0}}}),
#"Merged Queries" = Table.NestedJoin(#"Changed Type", {"SKU"}, #"Grouped Rows", {"SKU"}, "Grouped Rows", JoinKind.LeftOuter),
#"Expanded Grouped Rows" = Table.ExpandTableColumn(#"Merged Queries", "Grouped Rows", {"Check"}, {"Check"})
in
#"Expanded Grouped Rows"
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
If you love stickers, then you will definitely want to check out our community sticker challenge, Barcelona edition!
Check out the July 2026 Power BI update to learn about new features.