Comparison/Difference between two distinct plots
One way to compare similarly-shaped data that is translated in time is to look at the correlation between them.

If I do this in scilab:

ddata = diff(data',1,'c');

XC = xcorr(ddata(1,:),ddata(2,:));
CC1 = xcorr(ddata(1,:),ddata(1,:));
CC2 = xcorr(ddata(2,:),ddata(2,:));

den = sqrt(max(CC1)*max(CC2))

clf
plot(XC/den);
plot(CC1/max(CC1),'r')
plot(CC2/max(CC2),'m')

disp(max(XC)/den)


then I get this:



where the blue plot is the (normalized) cross-correlation of the time-differenced data and the red and magenta plots are the (normalized) auto-correlation of each individual time series.

The result is that the "correlation" between them is 0.8416782.