Forum Discussion
Joining dates at different granularities
Microsoft EmployeeHi Anonymous
I think I follow what you need.
What I did was add a new column to the HourlyPrice table that only contained the date. I did this using the Add Date column in the query editor
This allowed me to create a relationship between the HourlyPrice and DailyPrice tables based on my new HourlyDate.Date column and the date column already in the Daily table
With this in place I added this calculated measure to the Daily table
Daily Price = CALCULATE(SUM(Daily[Value]))
Which I then used in a new calculated column on the Hourly table
Hour x Daily = CALCULATE('Daily'[Daily Price]) *'HourlyPrice'[Value]This is the result based on your sample data.
Are we getting close?
Hi Phil
Thanks for the quick reply. I think it's almost there but it's not quite getting to where I wanted. Perhaps my example was too simple so wasn't quite covering what was needed
I've uploaded some data here over three tabs
https://www.dropbox.com/s/wusqsxeyt3tyeh2/powerBImixeddates.xlsx?dl=0
What I need to end up with an hourly data series to create a spark spread ( the theoretical profit of running a power plant in case you are interested!)
The formula is: HourlyPowerPrice - ((DailyGas[VALUE] + DailyCarbon[VALUE]*0.202)/0.55
I tried to apply your suggestions but am hitting a problem. I managed to relate the charts via the date as suggested.
The daily values are different for each day but what I am getting is then an average of the daily values over the whole time series rather than a distinct price for each day.
Does that make sense?
I am very grateful for any pointers