Many thanks, Sven and Riccardo. You have given me much to work with.
The data I am working with is indeed discrete.
One of the two series has a fairly tight standard deviation, and the other does not.
This does bring about an issue that I believe Riccardo mentioned: the number of
"bins" for both. If I choose the same number of bins, but one series has a much
tighter standard deviation, then overlaying the two will look odd, since the frequency
distribution which is tighter will have much smaller bins, resulting in a picture with two
sets of bin sizes. I played around with the R version of this and saw that in order to get
the bins to look uniform in size, I'd have to choose only two or three bins (R command
for this is "breaks") for the tighter variables and upwards of 52 bins for the
more volatile series.
I'm guessing there's a nice relationship that can be formalized where you can pick
the number of bins for one series and the second series' number of bins should then be
a function of the first series' standard deviation.