Remove duplicate rows in data based on column values

[av9]

Hi

I am trying to clean up the duplicate rows in my data in Power Query. 

This is a sample of the data imported.

ID	Customer ID	Name	Subscription	Subscriber Date	Subscriber Status
1	CUST01	Ferris Lo	Monthly Newsletter	1/8/2020	Active	keep
2	CUST01	Ferris Lo	Monthly Newsletter	1/5/2019	Inactive	remove
3	CUST02	John Smith	Monthly Newsletter	1/5/2019	Active	keep
4	CUST03	Jim James	Monthly Newsletter	1/1/2018	Active	keep
5	CUST04	Pat Ham	Monthly Newsletter	1/6/2020	Inactive	keep
6	CUST04	Pat Ham	Monthly Newsletter	1/5/2019	Inactive	remove

and I would like it to end up like this:

based on criteria;

IF Customer ID is duplicated, and Subscriber status = Active, remove rows where Subscriber status = Inactive

IF Customer ID is duplicated, and Subscriber status = Inactive, remove oldest Subscriber Date rows (i.e. keep max date)

ID	Customer ID	Name	Subscription	Subscriber Date	Subscriber Status
1	CUST01	Ferris Lo	Monthly Newsletter	1/8/2020	Active
3	CUST02	John Smith	Monthly Newsletter	1/5/2019	Active
4	CUST03	Jim James	Monthly Newsletter	1/1/2018	Active
5	CUST04	Pat Ham	Monthly Newsletter	1/6/2020	Inactive

[watkinnc]

Seems that you could Group on Customer ID using the GUI function, choosing "All Rows" as the aggregation.  Let's say you named the Grouped table column "Details".  Then you can filter for each Max Date per Customer ID:

Filtered = Table.SelectRows(PreviousStepName, each Table.Max([Details], "Subscriber Date"))

Then keep only the "Details" column, and expand it. This also eliminates the need to care what the active/inactive status, since you are returning each latest status.

--Nate

[Jakinta · Accepted solution]

You can try this in new query and adjust accordingly.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXIODQ4xADHcUouKMosVfPKBbN/8vJKMnEoFv9Ty4pzUkpLUIqCgob6FvpGBkQGQ6ZhcklmWqhSrE61kRKIZpkAzDC2BTM+8RIQpxjBTQMZ55WfkKQTnZpZkEGEMklNMYIaATPPKzFXwSsxNLcZthiHIDAtUM0xhZoAMC0gsUfBIzMVtghksQFA8Y0aSGVgCJBYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ID = _t, #"Customer ID" = _t, Name = _t, Subscription = _t, #"Subscriber Date" = _t, #"Subscriber Status" = _t]),
    Grouped = Table.Group(Source, {"Customer ID"}, {{"GR", each if List.Contains(List.Distinct(_[Subscriber Status]),"Active")
then Table.SelectRows(_, each ([Subscriber Status] = "Active"))
else Table.FirstN(Table.Sort(_,{{"Subscriber Date", Order.Descending}}),1)}}),
    Removed = Table.RemoveColumns(Grouped,{"Customer ID"}),
    FINAL = Table.ExpandTableColumn(Removed, "GR", {"ID", "Customer ID", "Name", "Subscription", "Subscriber Date", "Subscriber Status"}, {"ID", "Customer ID", "Name", "Subscription", "Subscriber Date", "Subscriber Status"})
in
    FINAL