说我要将以下内容导入PowerBI:
Date | Quantity
|---------------------|------------------|
| 1/1/2018 | 22 |
| 1/3/2018 | 30 |
| 1/4/2018 | 10 |
|---------------------|------------------|
如果外部源表是一系列日期,则缺少某些日期值的值行。我想执行一些DAX / M,将所有缺少的日期行添加到数据集中,其中“数量”值取自之前的第一个日期。因此,我得到的数据集将如下所示:
Date | Quantity
|---------------------|------------------|
| 1/1/2018 | 22 |
| 1/2/2018 | 22 |
| 1/3/2018 | 30 |
| 1/4/2018 | 10 |
|---------------------|------------------|
这可以在PowerBI中完成吗?
非常感谢您的帮助!
答案 0 :(得分:2)
您可以在DAX中通过创建一个新表来创建此表,其中包含您范围内的所有日期,如下所示:
FullTable =
ADDCOLUMNS(
CALENDAR(MIN(Table1[Date]), MAX(Table1[Date])),
"Quantity",
LOOKUPVALUE(
Table1[Quantity],
Table1[Date],
MAXX(
FILTER(Table1, Table1[Date] <= EARLIER([Date])),
[Date]
)
)
)
CALENDAR
函数为您提供了一系列范围,从原始表中的最小日期到最大日期。从那里,我们添加一个新列Quantity
,并将其定义为在原始表中查询Quantity
时获得的值,该日期是发生在该日期或该日期之前的最大日期在当前行中。
答案 1 :(得分:0)
下面两个项目应该做
// Query name fnGeT
(TableName as table, DateSearch as date) =>
let Source2 = Table.SelectRows(TableName, each [Date] < DateSearch and [quantity] <> null),
Max= Table.Group(Source2, {}, {{"Max", each List.Max([Date]), type date}}),
MaxDate = Table.SelectRows(Source2, each [Date] = Max{0}[Max]),
Value = MaxDate{0}[quantity]
in Value
和
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
Base = Table.TransformColumnTypes(Source,{{"Date", type date}, {"quantity", Int64.Type}}),
// Generate list of dates between Max and Min dates of Table1
DateRange = Table.Group(Base, {}, {{"MinDate", each List.Min([Date]), type date}, {"MaxDate", each List.Max([Date]), type date}}),
StartDate = DateRange[MinDate]{0},
EndDate = DateRange[MaxDate]{0},
List ={Number.From(StartDate)..Number.From(EndDate)},
#"Converted to Table" = Table.FromList(List, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
FullList = Table.TransformColumnTypes(#"Converted to Table",{{"Column1", type date}}),
//Right Anti Join to find dates not in original Table1
#"Merged Queries" = Table.NestedJoin(Base,{"Date"},FullList,{"Column1"},"Table2",JoinKind.RightAnti),
#"Removed Other Columns" = Table.SelectColumns(#"Merged Queries",{"Table2"}),
Extras = Table.ExpandTableColumn(#"Removed Other Columns", "Table2", {"Column1"}, {"Date"}),
Combined = Base & Extras,
#"Added Custom" = Table.AddColumn(Combined, "Custom", each if [quantity]<>null then [quantity] else fnGet(Combined,[Date])),
#"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"quantity"}),
#"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Custom", "quantity"}})
in #"Renamed Columns"
答案 2 :(得分:0)
在Power Query“ M”代码中,请参阅注释以了解不同的步骤。基本上,它会生成一个包含所有天数的新表,并在可用的情况下获取“数量”值并填补空白。
希望这对您有所帮助。
let
Source = Excel.CurrentWorkbook(){[Name="Test"]}[Content],
Converted = Table.TransformColumnTypes(Source,{{"Date", type date}}),
// force conversion to date type to avoid problems if date values comes from an Excel table (in Excel they are numbers).
DatesCol = Converted[Date],
// list from Date column of Converted table
Ini = List.Min(DatesCol),
End = List.Max(DatesCol),
Size = Number.From(End - Ini) +1,
DatesNew = List.Dates(Ini, Size, #duration(1, 0, 0, 0)),
// generates a new list of dates from min to max
NewTable = Table.FromColumns({DatesNew},{"Dates"}),
// new table from new list of dates, column name is "Dates" not "Date".
Joined = Table.Join(NewTable,"Dates",Converted,"Date",JoinKind.FullOuter),
// join both table NewTable and Converted (from Source) and keep all the dates from the DatesNew list.
Removed = Table.RemoveColumns(Joined, "Date"),
// remove the original Date column as it's not needed.
Result = Table.FillDown(Removed,{"Quantity"})
// Fill Down the Quantity column.
in
Result