我有公司的休假数据。 以下是示例数据:
STAFF PL CL ML SP LWP TL Month
A 1 2 0 0 6 9 April
B 14 0 4 0 0 18 April
A 1 2 0 0 1 4 May
B 1 0 4 0 0 5 May
A 1 2 0 0 2 5 June
B 2 0 4 0 0 6 June
我想将这些数据转换为这样的表结构 -
以下是示例数据:
Types of Leave Count Month
ML 89 4
CL 114 4
LWP 17 4
PL 135 4
SP 89 4
ML 89 5
CL 114 5
LWP 17 5
PL 135 5
SP 89 5
ML 89 6
CL 114 6
LWP 17 6
PL 135 6
SP 89 6
可以使用SelectColumns,Summarizecolumn dax函数吗?
我试过了 -
SUMMARIZE(Table1, Table1[CL],Table1[LWP],Table1[ML],Table1[PL],"CL2", SUM(Table1[CL]), "ML2", SUM(Table1[ML]), "LW2P",SUM(Table1[LWP]), "P2L", SUM(Table1[PL]))
它给了我奇怪的结果。
答案 0 :(得分:0)
删除名称和人员列后取消移动数据。然后将月份名称转换为月份编号并构建数据透视表。
屏幕截图显示了Excel中的结果,但在Power BI中也可以这样做。
这是我点击功能区图标时记录的查询的M代码:
let
Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"STAFF", type text}, {"PL", Int64.Type}, {"CL", Int64.Type}, {"ML", Int64.Type}, {"SP", Int64.Type}, {"LWP", Int64.Type}, {"TL", Int64.Type}, {"Month", type text}}),
#"Removed Columns" = Table.RemoveColumns(#"Changed Type",{"STAFF", "TL"}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Removed Columns", {"Month"}, "Attribute", "Value"),
#"Renamed Columns" = Table.RenameColumns(#"Unpivoted Other Columns",{{"Attribute", "Type of Leave"}, {"Value", "Count"}}),
#"Added Custom" = Table.AddColumn(#"Renamed Columns", "Custom", each Date.FromText([Month]&"1 2017")),
#"Extracted Month" = Table.TransformColumns(#"Added Custom",{{"Custom", Date.Month}}),
#"Removed Columns1" = Table.RemoveColumns(#"Extracted Month",{"Month"}),
#"Renamed Columns1" = Table.RenameColumns(#"Removed Columns1",{{"Custom", "Month"}})
in
#"Renamed Columns1"