Solved: Transform and summarize data from one table into a... - Page 2

elietech · ‎09-25-2020

Ok, here is the problem I am faced with.

I have a data set that records everytime a piece of equipment is removed from service for being unserviceable, and records the time it went "DOWN" (removed) and the time it went back "UP" (returned to service).

What I want to be able to do is determine based on this data overall serviceability rates for all the equipment in a given period of time, and I can't seem to wrap my head around the problem to get what I need.

I know the total pieces of equipment available, but it might not be consistent on any given day. (New equipment added, or old equipment removed/obsoleted etc.)

The Up/Down records look like this essentially:

EQUIP_ID, EVENT_ID, DOWN_START (Date/Time field), DOWN_STOP (Date/Time field), DOWN_DURATION (minutes)

The DOWN_DURATION could sometimes span multiple days. Also, the quipment is expected to be UP more than it's DOWN, and it's certainly not down every day.

Basically, what I want to do is use this data to create a table like this:

DATE, EQUIP_ID, SERVICEABLE_TIME

where DATE is a given calendar date covering every date in a date range that could be filtered with a slicer, EQUIP_ID is the unique ID of the piece of equipment, and SERVICEABLE_TIME is the number of minutes the equipment was available and serviceable on that day.

So, I guess my issue here is where to even start with this. Me and DAX don't get along very well, so I am really up against a wall on this one.

My other thought, based on everyone's expertise here, is this even something that can be handled with DAX? Or should I move this transformation further back in my stack and do it serverside in Javascript before it gets sent out over the API to PowerBI?

MFelix · ‎10-01-2020

Hi @elietech .

The error was related with the calculation when you have a single day, I already fixed it by changing the formula to:

measure = 
VAR Date_Selection =
    MAX ( 'Dates'[Date] )
VAR Date_Selection_Next = Date_Selection + 1
VAR temp_table =
    FILTER (
        ADDCOLUMNS (
            UpDown;
            "Start";
                DATE ( YEAR ( UpDown[DOWN_START] ); MONTH ( UpDown[DOWN_START] ); DAY ( UpDown[DOWN_START] ) );
            "End";
                DATE ( YEAR ( UpDown[DOWN_STOP] ); MONTH ( UpDown[DOWN_STOP] ); DAY ( UpDown[DOWN_STOP] ) )
        );
        [Start] <= Date_Selection
            && [End] >= Date_Selection
    )
VAR DateStart =
    IF (
        MINX ( temp_table; UpDown[DOWN_START] ) <= Date_Selection;
        Date_Selection;
        MINX ( temp_table; UpDown[DOWN_START] )
    )
VAR DateEnd =
    IF (
        MAXX ( temp_table; UpDown[DOWN_STOP] ) >= Date_Selection_Next;
        Date_Selection_Next;
        MAXX ( temp_table; UpDown[DOWN_STOP] )
    )
VAR Same_day_selection =
    IF (
        MAXX ( temp_table; [Start] ) = MINX ( temp_table; [End] )
            && MINX ( temp_table; UpDown[DOWN_START] ) >= Date_Selection;
        1
    )
RETURN
    IF (
        DateEnd = BLANK ();
        1440;
        IF (
            Same_day_selection = BLANK ();
            DATEDIFF ( Date_Selection; DateStart; MINUTE )
                + DATEDIFF ( DateEnd; Date_Selection_Next; MINUTE );
            1440
                - CALCULATE (
                    SUM ( UpDown[DOWN_DURATION] );
                    FILTER ( temp_table; UpDown[DOWN_START] = DateStart )
                )
        )
    )

Check result below and attach.

Regards

Miguel Félix

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