Forum Discussion
vinaydavid
Helper III
7 years agoGroup by - Aggregation (avoid N/A values and pick date)
Hi Experts, I have a situation where my table contains entries duplicate entries and I am trying to pick the latest date out of that. Here is the Mock Up. ID No. Event Date ...
- 7 years ago
First of all thanks to Mariuz for this time on helping me.
After spending a bit of time on checking everything that associated with these fields.
Here are the finding and I made the below necessary changes to achieve the desired result.
- The datatype of 'Date' field was 'Text' --> hence the behaviour of displaying N/A instead of Date, I reckon. Changed it to 'Date' then the aggregation was working fine.
- To handle 'N/A' values --> I have replaced it with a dummy date '1/1/1970' and applied aggregation to pick Max date and once all the steps are done, replaced with N/A instead of dummy date.
Regards,
David
Mariusz
Community Champion
7 years agoHi vinaydavid
Please see the below solution that will address valid N/A's
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUTIEEYlJyUDST99RKVYHQ9jIWN/AXN/IwNASLGsEEgIRFZVVQNLAUN/AAresEYqsMVDIGETk5uXDLIwFAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [ID = _t, #"No." = _t, Event = _t, Date = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}, {"No.", type text}, {"Event", type text}, {"Date", type date}}),
#"Replaced Errors" = Table.ReplaceErrorValues(#"Changed Type", {{"Date", null}}),
#"Grouped Rows" = Table.Group(#"Replaced Errors", {"ID", "No.", "Event"}, {{"MaxDate", each List.Max([Date]), type date}}),
#"Changed Type1" = Table.TransformColumnTypes(#"Grouped Rows",{{"MaxDate", type text}}),
#"Replaced Value" = Table.ReplaceValue(#"Changed Type1",null,"N/A",Replacer.ReplaceValue,{"MaxDate"})
in
#"Replaced Value"Best Regards,
Mariusz
If this post helps, then please consider Accepting it as the solution.
Please feel free to connect with me.

Mariusz
If this post helps, then please consider Accepting it as the solution.
Please feel free to connect with me.
vinaydavid
Helper III
7 years agoWill this work fine for scenarios like as well
3 33 Pqr N/A
4 44 mno N/A
Where N/A are valid as there are no duplicates...for ID 3 & 4
3 33 Pqr N/A
4 44 mno N/A
Where N/A are valid as there are no duplicates...for ID 3 & 4