Don't average values into normalised buckets if frequency greater than one
minute.

This might still be useful to reduce datapoints but it would also require
configuration to allow different types of aggregation (min, max, avg, etc.)

Reason being: If someone sets an alert for equality on a specific value, but
the aggregation is averaging then it may never hit the alert even though the
specific value was seen within a bucket.

E.g. Test for == 1 but time series within a minute is something like 1, 0,
1, 0, etc. with an average of 0.5.  Would need to be able to specify "max" or
perhaps just turn off aggregation.
Merge branch 'feature-normalise' into feature-all