如何确保 PowerQuery 数据透视表保存一些预定义的值？

Question

我的输入是一个表格：

我需要进行自定义枢轴，以确保：

• 列始终为五列，即使列

  ID

  只有三列，对于缺失的列，我们需要用

  0

  填充它们

• 各列的顺序如下：

  • 1 - TO START

    、

    2 - IN PROGRESS

    、

    3 - CANCELLED

    、

    4 - STANDBY

    和

    5 - FINISHED

我的预期输出如下表：

+------------+---------------+-------------+-----------+------------+
|   TO START |   IN PROGRESS |   CANCELLED |   STANDBY |   FINISHED |
|------------+---------------+-------------+-----------+------------|
|          6 |            13 |           1 |         0 |         14 |
+------------+---------------+-------------+-----------+------------+

但是我的代码现在给了我这个：

你们能告诉我怎么做吗？

这是用于生成我的示例的最小可重现代码：

let
  Source = Table.FromRows(
    Json.Document(
      Binary.Decompress(
        Binary.FromText(
          "i45W8vRTCAjydw9yDQ5W0lEyUorVQRczBou5efp5Bnu4ugAFTMECzo5+zq4+PmARA7BIiL9CcIhjUAhcD7ISQ+xKkIzFZrcFuiJzpdhYAA==",
          BinaryEncoding.Base64
        ),
        Compression.Deflate
      )
    ),
    let
      _t = ((type nullable text) meta [Serialized.Text = true])
    in
      type table [ID = _t, HOW_MANY = _t]
  ),
  Types = Table.TransformColumnTypes(Source, {{"ID", type text}, {"HOW_MANY", Int64.Type}}),
  Pivot = Table.Pivot(Types, List.Distinct(Types[ID]), "ID", "HOW_MANY", List.Sum)
in
  Pivot

Answer 1

更新

let
  Source = Table.FromRows(
    Json.Document(
      Binary.Decompress(
        Binary.FromText(
          "i45W8vRTCAjydw9yDQ5W0lEyUorVQRczBou5efp5Bnu4ugAFTMECzo5+zq4+PmARA7BIiL9CcIhjUAhcD7ISQ+xKkIzFZrcFuiJzpdhYAA==",
          BinaryEncoding.Base64
        ),
        Compression.Deflate
      )
    ),
    let
      _t = ((type nullable text) meta [Serialized.Text = true])
    in
      type table [ID = _t, HOW_MANY = _t]
  ),
  Types = Table.TransformColumnTypes(Source, {{"ID", type text}, {"HOW_MANY", Int64.Type}}),
    Dummy = #table({"ID", "HOW_MANY"},{ {"TO START",0},{"IN PROGRESS",0} ,{"CANCELLED",0},{"STANDBY",0},{"FINISHED",0}   }) & Types,
  Pivot = Table.Pivot(Dummy, List.Distinct(Dummy[ID]), "ID", "HOW_MANY", List.Sum)
in
  Pivot