Need to create a Two Column summarized table

[anishkrissh]

I need to create a table of having all field name in the left column and it's summarized column in the right column. Is it possible?

[v-frfei-msft]

Hi @anishkrissh ,

summarizecolumns-function   should help you. BTW, kindly share your sample data and excepted result to me if you don't have any Confidential Information. Please upload your files to One Drive and share the link here.

[anishkrissh]

Order Count	Item Count	Discount	Coupons	Shipping Amount	BlindDropShipCharge	TaxAmount
5	17	0	0.36	10.91	0	0
1	1	0	0	1.78	0	0
24	26	0	2.19	86.94	0	0
1	1	0	0	1.4	0	0

I want all of the column names as one column and all of it's summarized value in the next column.

Sorry can't share the data

[v-frfei-msft]

Hi @anishkrissh ,

Does that meet your requirement?

M code for your reference.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlXSUTI0BxIGIKxnbAbiG+hZGsKElGJ1opVAPIQIkK1nboGiwMgEyDQyg4oZ6RlaAikLMz1LEwLmIMnHAgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"Order Count" = _t, #"Item Count" = _t, Discount = _t, Coupons = _t, #"Shipping Amount" = _t, BlindDropShipCharge = _t, TaxAmount = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Order Count", Int64.Type}, {"Item Count", Int64.Type}, {"Discount", Int64.Type}, {"Coupons", type number}, {"Shipping Amount", type number}, {"BlindDropShipCharge", Int64.Type}, {"TaxAmount", Int64.Type}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Custom", each "a"),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Added Custom", {"Custom"}, "Attribute", "Value"),
    #"Grouped Rows" = Table.Group(#"Unpivoted Other Columns", {"Attribute"}, {{"value", each List.Sum([Value]), type number}})
in
    #"Grouped Rows"

[anishkrissh]

Can you show me how you did that?

[v-frfei-msft · Accepted solution]

Hi @anishkrissh ,

Choose all the columns in the table and unpivot it.

After that, Group the table as the picture below.

For more details, please check the pbix as attached.

[Anonymous]

Hi @anishkrissh,

You can use summarizecolumns to do so.