计算列，其中包含一行中许多列的值的总和 [英] Calculated column with the sum of values from many columns in a row

问题描述

我需要对每一行中的所有值求和并将它们显示在计算列中.当我处理大量表格中的大量列时，添加类似

I need to sum all values in each row and display them in a calculated column. As I deal with lots of columns in lots of tables, adding something like

CalculatedColumn = 'public table_name'[column1] + 'public table_name'[column2] + ... + 'public table_name'[column528]

确实效率低下.有更短的方法吗?

推荐答案

是的，有.您应该使用查询编辑器Unpivot other columns"，然后Group By".

Yes, there is. You should "Unpivot other columns" and then "Group By" using the Query Editor.

1. 假设这个数据集:

1. Suppose this dataset:

item;col1;col2;col3;col4;col5
apple;1;2;3;4;5
orange;1;2;3;5;8
banana;1;2;4;6;8

加载它，然后打开查询编辑器.

Load it up, and open the query editor.

选择Unpivot Other Columns":

Choose "Unpivot Other Columns":

你现在应该看到这个:

在功能区的转换"选项卡上，选择最左侧的分组依据"选项.然后像这样填写对话框:

On the "Transform" tab in the ribbon, choose the leftmost "Group By" option. And fill out the dialog like so:

您现在应该得到想要的最终结果:

You should now have the wanted end result:

您也可以跳过 Group By step 并让您的可视化来处理.

You could also skip the Group By step and let your visualization handle that.

PS.如果您也需要一些非求和列，我建议您创建一个具有相同源的重复数据集，并将其链接到具有关系的原始表，或者合并它所以你会得到一个包含所有想要的列的决赛桌.

PS. Should you need a few non-summed columns too I recommend either creating a duplicate dataset with the same source and either linking it to the original table with a relationship, or merging it so you get a final table with all wanted columns.

脚注，这是为您生成的 Power Query:

Footnote, this is the Power Query that is generated for you:

let
    Source = Csv.Document(File.Contents("D:ExperimentsPowerBidenormalized.csv"),[Delimiter=";", Columns=6, Encoding=1252, QuoteStyle=QuoteStyle.None]),
    #"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
    #"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"item", type text}, {"col1", Int64.Type}, {"col2", Int64.Type}, {"col3", Int64.Type}, {"col4", Int64.Type}, {"col5", Int64.Type}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"item"}, "Attribute", "Value"),
    #"Grouped Rows" = Table.Group(#"Unpivoted Other Columns", {"item"}, {{"SumCol", each List.Sum([Value]), type number}})
in
    #"Grouped Rows"

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