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 nowA new Data Days event is coming soon! This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. Don't miss out.
Hi,
My data set has a number of transaction references and transaction dates (amoungst other fields). On the dates when the transaction closes, I get two lines for the same date, due to having different transaction status codes ("Settled" vs "Closed"). When a transaction is still open (in the defined date range), the status code will be relfetced as "Settled". I'd like to filter the data so that the duplicated dates only reflect the "Closed" line, but still retain the data for the transactions which are still in "Settled" status. I've attempted the "Group By" tool, but I cannot find a conditional statement to make it select the "Closed" How do I go about getting the required output?
Thanks.
Here is an example: I'd like the final version of the data to exclude the two highlighted lines while retaining all the others.
Data Example
Solved! Go to Solution.
Hi @G_Whit-UK ,
In this case you can use the group by option but for the aggregation select the minimum value since you want the closed.
Check the code below with an example:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("hc89CsAgDAXguzgLJrGJ2dtuQgfdxPtfo7Fbf6Tje3y8kNZcBFaNlJx3uASkQIBsoey15n1z3Q8joqRkNenUJGSAaDVIABxGLKz5KD/kPqOMItepNJv5Jo8ZjSrjKwNAL9NP", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Num = _t, LOAN_STETTLEMENT_DATE = _t, LOAN_STATUS = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Num", Int64.Type}, {"LOAN_STETTLEMENT_DATE", type date}, {"LOAN_STATUS", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Num", "LOAN_STETTLEMENT_DATE"}, {{"LOAN_STATUS", each List.Min([LOAN_STATUS]), type text}})
in
#"Grouped Rows"
Regards,
MFelix
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsHi @G_Whit-UK ,
In this case you can use the group by option but for the aggregation select the minimum value since you want the closed.
Check the code below with an example:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("hc89CsAgDAXguzgLJrGJ2dtuQgfdxPtfo7Fbf6Tje3y8kNZcBFaNlJx3uASkQIBsoey15n1z3Q8joqRkNenUJGSAaDVIABxGLKz5KD/kPqOMItepNJv5Jo8ZjSrjKwNAL9NP", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Num = _t, LOAN_STETTLEMENT_DATE = _t, LOAN_STATUS = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Num", Int64.Type}, {"LOAN_STETTLEMENT_DATE", type date}, {"LOAN_STATUS", type text}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Num", "LOAN_STETTLEMENT_DATE"}, {{"LOAN_STATUS", each List.Min([LOAN_STATUS]), type text}})
in
#"Grouped Rows"
Regards,
MFelix
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsThanks @MFelix
Rather than work with raw code, I was able to get it to work using the advanced feature within the "Group By" tool - which I found to be a bit easier.
Test Ouput
Hi @G_Whit-UK ,
The raw code I have send out to you was for you to have the example, by copy pasting to advance editor you would be abble to see the step by step that I have made. I achieve the result with the same tool as you and not by direct coding.
Regards,
MFelix
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsCheck out the May 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 |
|---|---|
| 26 | |
| 25 | |
| 24 | |
| 21 | |
| 14 |
| User | Count |
|---|---|
| 56 | |
| 50 | |
| 26 | |
| 19 | |
| 18 |