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.