数据转换的工具建议

Question

我在Power BI中有大量原始故障数据。

code    time                    status  
x123    2019-04-22T23:57:00     ok  
x123    2019-04-23T01:00:00     faulty  
x123    2019-04-23T02:00:00     ok  
x123    2019-04-23T23:00:00     faulty  
x123    2019-04-24T01:00:00     ok  

我需要对此进行转换，以显示某个项目在某一天处于错误状态的时间。因此，在23日，该项目在凌晨1点到2点之间处于故障状态，然后在晚上11点到午夜之间再次处于故障状态。

code    day         % of day faulty  
x123    23/04/2019  8.30%           (2 hours)  

我可以在Power BI中轻松完成此操作，还是应该使用其他工具，例如Azure Data Factory？

Answer 1

将以下计算列添加到表中：

Report Date = Table1[time].[Date]

Fault Duration = 
VAR CurrentTime = Table1[time]
VAR CurrentCode = Table1[code]
VAR PreviousTime = 
    CALCULATE ( 
        MAX ( Table1[time] ),
        FILTER ( 
            Table1,
            Table1[time] < CurrentTime && 
            Table1[code] = CurrentCode
        )
    )
VAR NextTime = 
    CALCULATE ( 
        MIN ( Table1[time] ),
        FILTER ( 
            Table1,
            Table1[time] > CurrentTime && 
            Table1[code] = CurrentCode
        )
    )
VAR FaultyFrom = 
    IF(
        Table1[status] = "faulty",
        Table1[time],
        IF (
            DAY(PreviousTime) = DAY(Table1[time]),
            BLANK(),
            Table1[time].[Date]
        )
    )
VAR FaultyTo = 
    IF ( 
        Table1[status] = "ok",
        Table1[time],
        IF (
            DAY(NextTime) = DAY(Table1[time]),
            NextTime,
            Table1[time].[Date] + 1
        )
    )
RETURN
    IF(
        ISBLANK ( PreviousTime ) || ISBLANK ( NextTime ) || ISBLANK ( FaultyFrom ),
        BLANK(),
        FaultyTo - FaultyFrom
    )

现在创建措施：

Faulty Hours = SUM ( Table1[Fault Duration] )

Faulty % Day = 
    IF ( 
        HASONEVALUE ( Table1[Report Date] ),
        DIVIDE ( 
            [Faulty Hours],
            DISTINCTCOUNT ( Table1[code] ),
            BLANK()
        ),
        BLANK()
    )

输出：

有关工作示例PBIX文件，请参阅https://pwrbi.com/so_55825688/