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Anonymous
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3 years ago
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Cumulative sum in rows with Power query

Hello,   I would like to know if it's posible to do an acumulative sum in rows with power query, for example:   I've a mother table that give me how many incidences have the clien...
  • v-yueyunzh-msft's avatar
    3 years ago

    Hi , Anonymous 

    According to your description, you want to  "do an acumulative sum in rows with power query".

    Here are the steps you can refer to :
    (1)This is my test data:

    (2)You can put this M code in the "Advanced Editor" to refer to :

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("bY7LCUAhDAR7ydmD+RjtJdh/GyYSH/LwMLAkw7JmgMTSoEB10CGHM1eYxSAE7debMgeylTDGdT0l9BnaG7OwPCpwyyHFFh2aa+jnujMX", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Installation = _t, #"1/1/2023" = _t, #"2/1/2023" = _t, #"3/1/2023" = _t, #"4/1/2023" = _t, #"5/1/2023" = _t, #"6/1/2023" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Installation", Int64.Type}, {"1/1/2023", Int64.Type}, {"2/1/2023", Int64.Type}, {"3/1/2023", Int64.Type}, {"4/1/2023", Int64.Type}, {"5/1/2023", Int64.Type}, {"6/1/2023", Int64.Type}}),
        #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Installation"}, "Attribute", "Value"),
        #"Changed Type1" = Table.TransformColumnTypes(#"Unpivoted Other Columns",{{"Attribute", type date}}),
        Custom1 = Table.Group(#"Changed Type1",{"Installation","Attribute"},{"test",(x)=>List.Sum(Table.SelectRows(#"Changed Type1",(y)=> y[Installation]=x[Installation]{0} and y[Attribute]<=x[Attribute]{0})[Value])    }),
        #"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(Custom1, {{"Attribute", type text}}, "en-US"), List.Distinct(Table.TransformColumnTypes(Custom1, {{"Attribute", type text}}, "en-US")[Attribute]), "Attribute", "test", List.Max)
    in
        #"Pivoted Column"

    Then we can get the table you need:

    Thank you for your time and sharing, and thank you for your support and understanding of PowerBI! 

     

    Best Regards,

    Aniya Zhang

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