This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
Hi community,
I have a doubt and need your help in creating a logic
In the below table I've Status, Plan ID and Plan_name
| Status | Plan ID | Plan_name |
| 1 | 1 | Aircel 1GB Data 15 days |
| 4 | 1 | Aircel 1GB Data 15 days |
| 3 | 1 | Aircel 1GB Data 15 days |
| 8 | 1 | Aircel 1GB Data 15 days |
| 9 | 1 | Aircel 1GB Data 15 days |
| 2 | 2 | Tata 2GB Data 30 days |
| 3 | 2 | Tata 2GB Data 30 days |
| 6 | 2 | Tata 2GB Data 30 days |
| 10 | 2 | Tata 2GB Data 30 days |
| 1 | 3 | Jio 1.5GB 90 days |
| 4 | 3 | Jio 1.5GB 90 days |
| 6 | 3 | Jio 1.5GB 90 days |
| 7 | 3 | Jio 1.5GB 90 days |
I've 3 plans: Aircel 1GB Data 15 days, Tata 2GB Data 30 days and Jio 1.5GB 90 days
and their respective Status and Plan ID's.
I want to exclude those Plan_name in which Status = 3 is there and their values,
For eg: In Aircel 1GB Data 15 days plan, there is Status = 3, as it includes 3 and other Status values too it should not consider this plan. same for Tata 2GB Data 30 days.
Jio 1.5GB 90 days will be considered as there is no 3 value in Status.
Please help.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSAWPHzKLk1BwFQ3cnBZfEkkQFQ1OFlMTKYqVYnWglEyLUGBOhxoIINZZEqDECyoNwCEjCCKbC2ADVNfhVmBFUYWhAWAlQFmSVV2a+gqGeKVCJpQFqsOGWNcMra45bNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Status = _t, #"Plan ID" = _t, Plan_name = _t]),
#"Grouped Rows" = Table.Group(Source, {"Plan_name"}, {{"Rows", each _, type table [#"Status "=nullable number, Plan ID=nullable number, Plan_name=nullable text]}}),
#"Filtered Rows" = Table.SelectRows(#"Grouped Rows", each (not List.Contains([Rows][Status],"3")))
in
#"Filtered Rows"
How to use this code: Create a new Blank Query. Click on "Advanced Editor". Replace the code in the window with the code provided here. Click "Done".
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 37 | |
| 29 | |
| 29 | |
| 21 | |
| 18 |
| User | Count |
|---|---|
| 70 | |
| 40 | |
| 33 | |
| 24 | |
| 23 |