Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hi, I am trying to make a report that would give the delay time per day (which would give me the run time per day to get approximate TPH). An example delay data table is formatted as shown below.
Since I have to calculate tons per hour for every day using another table with production information, I created a Calendar table (just a one-column table with only the dates using the CALENDAR() function) that is connected with both the delay table and production table.
However, I am struggling to calculate the number of hours of delay time per day with DelayType 0 as a column in the calendar table with the format shown below using the previous delay table as an example.
I tried making a calculated column using DATEDIFF() but I am struggling to get only the entries with DelayType of 0 as well as how to deal with delays that span for multiple days (For example, 05/26/2023 falls within the 4th entry of the delay table so the total delay time for that day would be 24 hours).
I would appreciate any help or guidance on what I can do to get the final formatted Calendar table. Thank you.
Solved! Go to Solution.
Hi @Paradox1023 ,
According to your screenshot, I think you don't need to create a relationship between Calendar Table and Delay Table, due to datetime type column in Delay table and date type column in Calendar.
You can try this code to create a measure.
Total Delay Time due to DelayType 0 (hour) =
VAR _CROSSJOIN =
FILTER (
GENERATE ( ALLSELECTED('Delay Table') , CALCULATETABLE(VALUES ( 'Calendar'[Date] ),ALLSELECTED('Calendar')) ),
'Delay Table'[DelayType] = 0
&& DATEVALUE ( 'Delay Table'[DelayStartTime] ) <= 'Calendar'[Date]
&& DATEVALUE ( 'Delay Table'[DelayEndTime] ) >= 'Calendar'[Date]
)
VAR _AddDuartion =
ADDCOLUMNS (
_CROSSJOIN,
"Duration",
VAR _MIN =
MINX (
FILTER (
_CROSSJOIN,
AND (
'Delay Table'[DelayStartTime] = EARLIER ( 'Delay Table'[DelayStartTime] ),
'Delay Table'[DelayEndTime] = EARLIER ( 'Delay Table'[DelayEndTime] )
)
),
[Date]
)
VAR _MAX =
MAXX (
FILTER (
_CROSSJOIN,
AND (
'Delay Table'[DelayStartTime] = EARLIER ( 'Delay Table'[DelayStartTime] ),
'Delay Table'[DelayEndTime] = EARLIER ( 'Delay Table'[DelayEndTime] )
)
),
[Date]
)
RETURN
SWITCH (
TRUE (),
[Date] = _MIN
&& [Date] = _MAX, [Duration (hour)],
[Date] <> _MIN
&& [Date] <> _MAX, 24,
[Date] = _MIN
&& [Date] <> _MAX,
DATEDIFF ( [DelayStartTime], [Date] + 1, MINUTE ) / 60,
[Date] <> _MIN
&& [Date] = _MAX, DATEDIFF ( [Date], [DelayEndTime], MINUTE ) / 60
)
)
RETURN
SUMX(FILTER(_AddDuartion,[Date] = MAX('Calendar'[Date])),[Duration])+0
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Paradox1023 ,
According to your screenshot, I think you don't need to create a relationship between Calendar Table and Delay Table, due to datetime type column in Delay table and date type column in Calendar.
You can try this code to create a measure.
Total Delay Time due to DelayType 0 (hour) =
VAR _CROSSJOIN =
FILTER (
GENERATE ( ALLSELECTED('Delay Table') , CALCULATETABLE(VALUES ( 'Calendar'[Date] ),ALLSELECTED('Calendar')) ),
'Delay Table'[DelayType] = 0
&& DATEVALUE ( 'Delay Table'[DelayStartTime] ) <= 'Calendar'[Date]
&& DATEVALUE ( 'Delay Table'[DelayEndTime] ) >= 'Calendar'[Date]
)
VAR _AddDuartion =
ADDCOLUMNS (
_CROSSJOIN,
"Duration",
VAR _MIN =
MINX (
FILTER (
_CROSSJOIN,
AND (
'Delay Table'[DelayStartTime] = EARLIER ( 'Delay Table'[DelayStartTime] ),
'Delay Table'[DelayEndTime] = EARLIER ( 'Delay Table'[DelayEndTime] )
)
),
[Date]
)
VAR _MAX =
MAXX (
FILTER (
_CROSSJOIN,
AND (
'Delay Table'[DelayStartTime] = EARLIER ( 'Delay Table'[DelayStartTime] ),
'Delay Table'[DelayEndTime] = EARLIER ( 'Delay Table'[DelayEndTime] )
)
),
[Date]
)
RETURN
SWITCH (
TRUE (),
[Date] = _MIN
&& [Date] = _MAX, [Duration (hour)],
[Date] <> _MIN
&& [Date] <> _MAX, 24,
[Date] = _MIN
&& [Date] <> _MAX,
DATEDIFF ( [DelayStartTime], [Date] + 1, MINUTE ) / 60,
[Date] <> _MIN
&& [Date] = _MAX, DATEDIFF ( [Date], [DelayEndTime], MINUTE ) / 60
)
)
RETURN
SUMX(FILTER(_AddDuartion,[Date] = MAX('Calendar'[Date])),[Duration])+0
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Paradox1023
please try
Total Delay Time due to DelayType 0 (hour) =
SUMX (
FILTER (
CROSSJOIN ( ALLSELECTED ( 'Delay Table' ), VALUES ( 'Calendar'[Date] ) ),
'Delay Table'[Delay Type] = 0
&& 'Delay Table'[DelayStartTime] <= 'Calendar'[Date]
&& 'Delay Table'[DelayEndTime] >= 'Calendar'[Date]
),
DATEDIFF (
MAX ( 'Delay Table'[DelayStartTime], 'Calendar'[Date] ),
MIN ( 'Delay Table'[DelayEndTime], 'Calendar'[Date] ),
MINUTE
) / 60
)
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
10 | |
9 | |
9 | |
8 | |
8 |
User | Count |
---|---|
17 | |
12 | |
11 | |
11 | |
10 |