Forum Discussion
Cumulative sum in rows with Power query
- 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
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
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
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly