in reply to Re: Data Set Combination
in thread Data Set Combination

No, the data sets are from different markets, with different values. What I want to do is create a third data set by performing calculations on the values of each set and putting the result in the new data set. If a row exists in one but not the other, I would simply take the previous row of the non-existing row's data set and perform the calculations using those values. So, joining the values via SQL statements is not what I am looking for. Thanks for your input though.

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Re^3: Data Set Combination
by sgifford (Prior) on Aug 26, 2005 at 20:21 UTC
    Ah, I guess I don't understand your problem then. So you're saying if you have a missing day in one of your data sets, you want to reuse the previous day's data for calculations on that row? If so, sort the two data sets by date, then move through both in parallel. Track the "current row" and "next row" for both data sets, and loop over a series of dates. For each data set, if the date of "next row" is equal to the date you're currently looking at, set "current row" to "next row" and read another item into "next row". Then perform calculations based on the each data set's "current row", which will either contain the data from the current day or from the last day for which data is available.

    How to deal with a missing first row would have to be a special case.

    Hope this helps; no time to write up any sample code right now.