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DrewCarousel
Frequent Visitor

Count distinct running total

Hi,

 

I have date such as the below where I'm looking to add a running total column:

 

DatePostcodeCount running total
01/01/2020AA1 1AA1
02/01/2020AA1 1AA1
02/01/2020AA1 1AA2
02/01/2020BB2 2BB1
02/01/2020AA1 1AA3
02/01/2020BB2 2BB2

 

Please can someone help me with the column formula I can use to get this running total?

 

Best regards,

 

Drew

2 ACCEPTED SOLUTIONS
Greg_Deckler
Community Champion
Community Champion

See my article on Mean Time Between Failure (MTBF) which uses EARLIER: http://community.powerbi.com/t5/Community-Blog/Mean-Time-Between-Failure-MTBF-and-Power-BI/ba-p/3395...



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View solution in original post

dax
Community Support
Community Support

Hi @DrewCarousel , 

You could refer to @Greg_Deckler ' s suggestions to use DAX to achieve this goal, or you also could use M code like below to achieve this goal

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjDUByIjAyMDJR0lR0dDBUNHR6VYHaCEEUUSTk5GCkZOTuToiAUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Date = _t, Postcode = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Postcode", type text}}),
    #"Grouped Rows" = Table.Group(#"Changed Type", {"Postcode", "Date"}, {{"all", each _, type table [Date=date, Postcode=text]}}),
    #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each Table.AddIndexColumn([all], "a",1,1)),
    #"Expanded Custom" = Table.ExpandTableColumn(#"Added Custom", "Custom", {"a"}, {"a"}),
    #"Removed Columns" = Table.RemoveColumns(#"Expanded Custom",{"all"})
in
    #"Removed Columns"

Best Regards,
Zoe Zhi

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

2 REPLIES 2
dax
Community Support
Community Support

Hi @DrewCarousel , 

You could refer to @Greg_Deckler ' s suggestions to use DAX to achieve this goal, or you also could use M code like below to achieve this goal

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjDUByIjAyMDJR0lR0dDBUNHR6VYHaCEEUUSTk5GCkZOTuToiAUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Date = _t, Postcode = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Postcode", type text}}),
    #"Grouped Rows" = Table.Group(#"Changed Type", {"Postcode", "Date"}, {{"all", each _, type table [Date=date, Postcode=text]}}),
    #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each Table.AddIndexColumn([all], "a",1,1)),
    #"Expanded Custom" = Table.ExpandTableColumn(#"Added Custom", "Custom", {"a"}, {"a"}),
    #"Removed Columns" = Table.RemoveColumns(#"Expanded Custom",{"all"})
in
    #"Removed Columns"

Best Regards,
Zoe Zhi

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Greg_Deckler
Community Champion
Community Champion

See my article on Mean Time Between Failure (MTBF) which uses EARLIER: http://community.powerbi.com/t5/Community-Blog/Mean-Time-Between-Failure-MTBF-and-Power-BI/ba-p/3395...



Follow on LinkedIn
@ me in replies or I'll lose your thread!!!
Instead of a Kudo, please vote for this idea
Become an expert!: Enterprise DNA
External Tools: MSHGQM
YouTube Channel!: Microsoft Hates Greg
Latest book!:
DAX For Humans

DAX is easy, CALCULATE makes DAX hard...

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