July 29, 2009 at 7:14 am
Hi there,
I'm working on some relevant computations based on a large data-index. There are 4 numbers (for instance sum(SPReturn*SPReturn) = RVSP etc) I need to calculate and I'm able to do so for either all the observations (approx 400.000) as a total sum, returning 1 value for each of the for relevant numbers; or, I'm able to compute the numbers for each separate observation.
However, what I'm trying to do is this:
The observations are ordered so that there are approx 60 observations pr. day, though the amount varies slightly. What I need is to calculate the 4 numbers for each day, so that I sum over the approx 60 observations, which leaves me for instance a RVSP number, then do the same for the next day etc - so I get a series with the 4 numbers, one observation for each day.
The code I've used so far to get 1x of each of the 4 numbers:
--------------
select *, covSPTY/sqrt(RVSP*RVTY) as CorSPTY from
(
Select
sum(SPreturn*SPreturn) as RVSP,
sum(TYreturn*TYreturn) as RVTY,
sum(SPreturn*TYreturn) as CovSPTY,
From ReturnTotal
Where datediff(hour, Prevobstime, Obstime) < 8
)
-------------
The 4 numbers I need for each day is RVSP, RVTY, CovSPTY and CorSPTY.
I figure what I need is some sort of grouping code that recognizes when the day splits, and is able to do so even though the amount of observations each day varies.
Anyone has an idea? I'd be grateful for any help 🙂
Thanks!
Best regards,
Martin Falch
July 29, 2009 at 7:26 am
You'll need something like: group by dateadd(dd, 0, datediff(dd, 0, Obstime))
If this runs slowly you could look at adding a persisted calculated column with the value dateadd(dd, 0, datediff(dd, 0, Obstime))
Then group by this new column.
July 29, 2009 at 12:02 pm
Ok thanks alot - I'll try that out 🙂
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