When an anomaly isn't an anomaly what could i do?

Background: I did my Senior thesis for my Anthropology (Archaeology) degree on generating pre-historic soil topology based on minimal measured data.

One of the pieces that I was working on to supplement that effort was to try to recreate the long, mid, and smaller frequency height fluctuations for those ancient surfaces.  This effort consisted of measuring average and standard deviations of the three.  Using these 6 data points, I posit there should be the ability to get a weekly, daily and hourly variation values and the sums of those three at any point should fall within a known range.  You’re already accessing that dataset according to your code for volume freespace.

I will be utilizing parts of your code to calculate growth and days until full (grabbing those historical values had eluded me for some reason).

Counter and Derive datapoint types can be very valuable for these types of metrics as well for very short term shifts (just previous value).

You can also set different values in the static thresholds for different times of day to help account for things like backups, etc.

Enough of my rambling… now I have to go write some new dataSources based on this discussion.