Returns the time series described by the expression, scaled to fit between the values 0 and 1.0.
|expression||Expression describing the time series you want to normalize.|
normalize() function scales the time series described by the expression, so that each series has a minimum value of 0 and maximum value of 1.
normalize() returns a separate series of results for each time series.
Normalizing is useful if you want to see shape correlation between time series of very different scale. After normalizing, all the time series fit in the same vertical space.
The following diagram shows the request latency for
When you normalize the data, the metrics for both time series are mapped to values between 0 and 1.