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Hi all,
I have a large dataset of half hourly temperatures for two decades. I have created a column which summarises the same days across the multiple years, from 1 to 366 ("Day" column). I need to now calculate the minimum temperature and maximum temperature for each Day (1 to 366).
I tried a simple DAX Calculate Min filtering by Day but it has not summarised as I wish it to. Further when I did the same for DAX Calculate Max filtering by Day, a circular dependency error occurred.
A table in the report view does this perfectly, however I need to calculate the average between the min and max value for each Day, which I understand has to be computed based on Columns.
Thank you
Solved! Go to Solution.
Hi @Anonymous,
If I've correctly understood your task, you could solve it with the help of the three measures below and a table visual:
MinTemp = MIN ( [Temperature] )
MaxTemp = MAX ( [Temperature] )
AvgTemp = ( [MaxTemp] + [MinTemp] ) / 2
In the test case below you can see dates, but it will work with days too:
Best Regards,
Alexander
HI @Anonymous,
You can try to use following calculate columns formula to get the max and min temperature based on current date:
daily MinT =
CALCULATE (
MIN ( Table1[Temperature] ),
FILTER ( Table1, Table1[Date] = EARLIER ( Table1[Date] ) )
)
daily MaxT =
CALCULATE (
MAX ( Table1[Temperature] ),
FILTER ( Table1, Table1[Date] = EARLIER ( Table1[Date] ) )
)
Regards,
Xiaoxin Sheng
Hi @Anonymous,
If I've correctly understood your task, you could solve it with the help of the three measures below and a table visual:
MinTemp = MIN ( [Temperature] )
MaxTemp = MAX ( [Temperature] )
AvgTemp = ( [MaxTemp] + [MinTemp] ) / 2
In the test case below you can see dates, but it will work with days too:
Best Regards,
Alexander
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