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!View all the Fabric Data Days sessions on demand. View schedule
Hello,
I am trying to create a new table that has unique IDs and populates a column depending on the distinct values from another table and can't quite figure it out. I have a SQL statement that displays all IDs that have 2 or more distinct values in another column and could invert it to get the rest, but I do not know how to populate a table in the fashion in my example.
Current data is structured in this format:
| ID | Value |
| A | 1 |
| A | 1 |
| A | 2 |
| A | 1 |
| B | 2 |
| B | 2 |
| B | 2 |
| ... | ... |
I am trying to create a new table with the information above to be viewed like this:
| ID | Value 1 | Value 2 |
| A | Y | Y |
| B | N | Y |
| ... | ... | ... |
Thanks
Solved! Go to Solution.
Sorry, that creates the little sample. Perhaps it would be better to do the following in the interface:
1. Create a dummy column with Custom Column. Give it the value 1
2. Pivot the Value column. That will create a column for each value in the column. Use the Dummy column, because it will disappear.
3. Select all of the new columns and convert to True/False.
4. Keep all of the new columns selected and Replace Values: null with False.
@Anonymous - You could do something like the following in Power Query.
Notes: The last 2 steps (#"Replaced Value" and #"Changed Type1") refer to the 2 columns, 1 and 2. If there are more values, it would also need to include those.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTJUitVBZxmhiTnBxTBYsQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [ID = _t, Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", type text}, {"Value", Int64.Type}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each 1),
#"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Added Custom", {{"Value", type text}}, "en-US"), List.Distinct(Table.TransformColumnTypes(#"Added Custom", {{"Value", type text}}, "en-US")[Value]), "Value", "Custom", List.Sum),
#"Changed Type1" = Table.TransformColumnTypes(#"Pivoted Column",{{"1", type logical}, {"2", type logical}}),
#"Replaced Value" = Table.ReplaceValue(#"Changed Type1",null,false,Replacer.ReplaceValue,{"1", "2"})
in
#"Replaced Value"
Hi @Anonymous , thanks for the response.
If I'm pulling from a table that is already imported how do I maninuplate this line?
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTJUitVBZxmhiTnBxTBYsQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [ID = _t, Value = _t])I replaced Table with the name of my table that was imported and it autocorrects it to #"TableName".FromRows....
and I get an error saying token comma expected after the table name.
Sorry, that creates the little sample. Perhaps it would be better to do the following in the interface:
1. Create a dummy column with Custom Column. Give it the value 1
2. Pivot the Value column. That will create a column for each value in the column. Use the Dummy column, because it will disappear.
3. Select all of the new columns and convert to True/False.
4. Keep all of the new columns selected and Replace Values: null with False.
@Anonymous Thanks so much! I was trying to mess around with pivot columns earlier, but did not quite understand how it worked. Adding the extra column was the key! Thanks again.
Check out the November 2025 Power BI update to learn about new features.
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!