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! It's time to submit your entry. Live now!
I have two tables:
1) Contains a list of only IDs for providers
2) Contains a list of IDs for providers who are available and the date(s) they are available
I want to check if the provider has availability on any given day. I'm trying to create a table that shows all of the providers by id (table1), and cross-reference that with the table of IDs that contain providers who are working on any given day. I just want to add a yes/no column to table1 signifying that they are or are not working, then be able to filter that using a slicer for the date.
It should be a very simple fix but I am only finding providers who are working, not both. I think it's because everything I'm doing is dependent on a date that is only found in the table of availability. Any help would be appreciated.
Table 1.
| ID |
| 1 |
| 2 |
| 3 |
| 4 |
Table 2.
| ID | On Schedule Date |
| 2 | 4/29/2024 |
| 3 | 4/29/2024 |
Desired Outcome:
| ID | Working Y/N |
| 1 | N |
| 2 | Y |
| 3 | Y |
| 4 | N |
Solved! Go to Solution.
hi @Eleanor24 ,
copy and paste the below code into the advanced editor of a blank query:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlSK1YlWMgKTxmDSRCk2FgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ID = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}}),
#"Table 2 lookup" = Table.AddColumn(#"Changed Type", "Table2", each #"Table 2"[ID]),
#"Working Y/N" = Table.AddColumn(#"Table 2 lookup", "Working Y/N", each if List.ContainsAny([Table2],{[ID]}) = true then "Y" else "N", type text),
#"Removed Columns" = Table.RemoveColumns(#"Working Y/N",{"Table2"})
in
#"Removed Columns"
note:
if the on schedule date has multiple dates, this is not an ideal solution it could be Y/N for schedules on any of the multiple dates.
if this is the case, kindly provide a sample input and expected output for the same.
hi @Eleanor24 ,
copy and paste the below code into the advanced editor of a blank query:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlSK1YlWMgKTxmDSRCk2FgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ID = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}}),
#"Table 2 lookup" = Table.AddColumn(#"Changed Type", "Table2", each #"Table 2"[ID]),
#"Working Y/N" = Table.AddColumn(#"Table 2 lookup", "Working Y/N", each if List.ContainsAny([Table2],{[ID]}) = true then "Y" else "N", type text),
#"Removed Columns" = Table.RemoveColumns(#"Working Y/N",{"Table2"})
in
#"Removed Columns"
note:
if the on schedule date has multiple dates, this is not an ideal solution it could be Y/N for schedules on any of the multiple dates.
if this is the case, kindly provide a sample input and expected output for the same.
The Power BI Data Visualization World Championships is back! It's time to submit your entry.
Check out the January 2026 Power BI update to learn about new features.