excel - Power BI - 采用多列年份和值列并合并为 2 列

Question

我正在尝试以更可用的格式获取我的数据。我有以下列。

Donor     2019 Date  2019 Amt  2018 Date  2018 Amt  2017 Date  2017 Amt
--------  ---------  --------  ---------  --------  ---------  --------
Person 1  1/15/2019    100.00  4/20/2018     75.00  NULL           0.00 
Person 2  NULL           0.00  7/15/2018     50.00  NULL           0.00
Person 3  2/21/2019     50.00  3/03/2018     50.00  2/28/2017     50.00

这个数据实际上可以追溯到 2010 年。

我想要的是:

Donor     Date       Amt
--------  ---------  ------
Person 1  1/15/2019  100.00
Person 1  4/20/2018   75.00
Person 2  7/15/2018   50.00
Person 3  2/21/2019   50.00
Person 3  3/03/2018   50.00
Person 3  3/28/2017   50.00

我玩过一些 Unpivoting 数据，但没有什么让我感到厌烦的就是让我得到我想要的东西。我认为可能需要进行一些转换才能完全满足我的需要。

Answer 1

您可以使用两个 unpivot 和一个过滤器来做到这一点:

选择所有年份日期列并取消透视，然后选择所有年份金额列并取消透视。最后，过滤到这些年份匹配的行。

完整的 M 代码:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCkgtKs7PUzBU0lEy1Dc01TcyMLQEsQ0MgKQJkAsSsQCyzU2BBBAZKMXqwLUZwcSA8lDdILWmBljUGgMFjPSNDGFWgBUZ6xujaAIqsAAJmEMEYmMB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Donor = _t, #"2019 Date" = _t, #"2019 Amt" = _t, #"2018 Date" = _t, #"2018 Amt" = _t, #"2017 Date" = _t, #"2017 Amt" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Donor", type text}, {"2019 Date", type date}, {"2019 Amt", Int64.Type}, {"2018 Date", type date}, {"2018 Amt", Int64.Type}, {"2017 Date", type date}, {"2017 Amt", Int64.Type}}),
    #"Unpivoted Year Date" = Table.Unpivot(#"Changed Type", {"2019 Date", "2018 Date", "2017 Date"}, "Year Date", "Date"),
    #"Unpivoted Year Amt" = Table.Unpivot(#"Unpivoted Year Date", {"2019 Amt", "2018 Amt", "2017 Amt"}, "Year Amt", "Amt"),
    #"Match Years Filter" = Table.SelectRows(#"Unpivoted Year Amt", each Text.Start([Year Date], 4) = Text.Start([Year Amt], 4))
in
    #"Match Years Filter"

如果您有很多列，此解决方案应该更方便。

使用 Table.ColumnNames 使用一点 M 代码魔法您可以像这样使其完全动态:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCkgtKs7PUzBU0lEy1Dc01TcyMLQEsQ0MgKQJkAsSsQCyzU2BBBAZKMXqwLUZwcSA8lDdILWmBljUGgMFjPSNDGFWgBUZ6xujaAIqsAAJmEMEYmMB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Donor = _t, #"2019 Date" = _t, #"2019 Amt" = _t, #"2018 Date" = _t, #"2018 Amt" = _t, #"2017 Date" = _t, #"2017 Amt" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Donor", type text}, {"2019 Date", type date}, {"2019 Amt", Int64.Type}, {"2018 Date", type date}, {"2018 Amt", Int64.Type}, {"2017 Date", type date}, {"2017 Amt", Int64.Type}}),
    #"Unpivoted Year Date" = Table.Unpivot(#"Changed Type", List.Select(Table.ColumnNames(#"Changed Type"), each Text.EndsWith(_, " Date")), "Year Date", "Date"),
    #"Unpivoted Year Amt" = Table.Unpivot(#"Unpivoted Year Date", List.Select(Table.ColumnNames(#"Changed Type"), each Text.EndsWith(_, " Amt")), "Year Amt", "Amt"),
    #"Match Years Filter" = Table.SelectRows(#"Unpivoted Year Amt", each Text.Start([Year Date], 4) = Text.Start([Year Amt], 4))
in
    #"Match Years Filter"

这部分

List.Select(Table.ColumnNames(#"Changed Type"), each Text.EndsWith(_, " Amt"))

获取所有列名并挑选出以 " Amt" 结尾的列名.