很遗憾，我无法评论上一个答案，所以我必须将其添加为单独的答案：
是的，有一种方法可以自动生成日期和时间表。这是我在报告中使用的一些示例代码：
let
Source = List.Dates(startDate, Duration.Days(DateTime.Date(DateTime.LocalNow()) - startDate)+1, #duration(1,0,0,0)),
convertToTable = Table.FromList(Source, Splitter.SplitByNothing(), {"Date"}, null, ExtraValues.Error),
calcDateKey = Table.AddColumn(convertToTable, "DateKey", each Date.ToText([Date], "YYYYMMDD")),
yearIndex = Table.AddColumn(calcDateKey, "Year", each Date.Year([Date])),
monthIndex = Table.AddColumn(yearIndex, "MonthIndex", each Date.Month([Date])),
weekIndex = Table.AddColumn(monthIndex, "WeekIndex", each Date.WeekOfYear([Date])),
DayOfWeekIndex = Table.AddColumn(weekIndex, "DayOfWeekIndex", each Date.DayOfWeek([Date], 1)),
DayOfMonthIndex = Table.AddColumn(DayOfWeekIndex, "DayOfMonthIndex", each Date.Day([Date])),
Weekday = Table.AddColumn(DayOfMonthIndex, "Weekday", each Date.ToText([Date], "dddd")),
setDataType = Table.TransformColumnTypes(Weekday,{{"Date", type date}, {"DateKey", type text}, {"Year", Int64.Type}, {"MonthIndex", Int64.Type}, {"WeekIndex", Int64.Type}, {"DayOfWeekIndex", Int64.Type}, {"DayOfMonthIndex", Int64.Type}, {"Weekday", type text}})
in
setDataType
只需将其粘贴到空查询中即可。该代码使用了一个名为 startDate 的参数，因此您需要确保有类似的东西。
这是时间表的 sn-p：
let
Source = List.Times(#time(0,0,0) , 1440, #duration(0,0,1,0)),
convertToTable = Table.FromList(Source, Splitter.SplitByNothing(), {"DayTime"}, null, ExtraValues.Error),
createTimeKey = Table.AddColumn(convertToTable, "TimeKey", each Time.ToText([DayTime], "HHmmss")),
hourIndex = Table.AddColumn(createTimeKey, "HourIndex", each Time.Hour([DayTime])),
minuteIndex = Table.AddColumn(hourIndex, "MinuteIndex", each Time.Minute([DayTime])),
setDataType = Table.TransformColumnTypes(minuteIndex,{{"DayTime", type time}, {"TimeKey", type text}, {"HourIndex", Int64.Type}, {"MinuteIndex", Int64.Type}})
in
setDataType
如果您在事实表中使用 DateKey 和 TimeKey（如第一个答案中建议的那样），您只需将时间元素放在日期元素下方的可视化中即可轻松生成日期/时间层次结构，例如这
date-time-hierarchy