statistical bin

Returns the bin in the specified statistical range which brackets the given time. If no such bin exists, it throws NoSuchObject.

Returns a list of the individual bins in the specified range. Primarily useful after downsampling (see total <time interval> of <statistic range>).

This inspector can be used to downsample or consolidate bins. It statistically totals over the given range, producing a new series of bins broken down by the (larger) specified time interval. The resulting range will start and end on a multiple of the interval. For example, if you ask for day bins, the results will start and end at midnight. If the specified time interval is not a multiple of the length of the starting bin of the range, this inspector throws NoSuchObject. For example, you cannot get 6 hour totals of a range which starts with day bins.

Totals the bins over the specified range, producing a single summary bin. This allows you to reduce the data by constraining the range.

Returns the ending time of the specified statistical bin.

Calculates a least-squares fit on the sum of the logarithms of the absolute values of the values. This provides a way to extrapolate an exponential change of values.

The integral over time of the number of failing computers divided by the integral over time of the number of reporting computers.

Returns the geometric mean of the specified statistical bin.

Produces a section of JavaScript which initializes the named array of objects, one for each input bin. Each object in the array has JavaScript properties which match the above bin data properties. For each inspector property, the equivalent JavaScript property is named by CamelCasing the name of the inspector property.

Returns the kurtosis (a measure of the "narrowness" of the distribution) of the specified statistical bin.

Returns a time interval corresponding to the length (or period) of the specified bin.

Calculates a least-squares fit on the values, providing a tool for extrapolating a linear change of values.

The kurtosis of the logarithms of the absolute values of the nonzero reported values.

The skewness of the logarithms of the absolute values of the nonzero reported values.

The standard deviation of the logarithms of the absolute values of the nonzero reported values.

The variance of the logarithms of the absolute values of the nonzero reported values.

Returns a floating point number representing the largest computer total in the specified bin.

The maximum single value reported by any computer over the duration of the bin.

This is the integral over time of the number of computers reporting this property divided by the duration of the bin. It might be fractional if computers started or stopped reporting this property during the interval of the bin.

Returns the mean count of the computers where the inspection has failed.

The integral over time of the sum of the logarithms of the absolute values of all nonzero reported values, divided by the integral over time of the number of nonzero reported values.

Provides a measure of nonzero values, which is useful in interpreting the logarithmic results, which ignore zero values. The logarithmic results generally aren't interesting for any property that can be zero, so this inspector can be used to validate property statistics.

The integral over time of the sum of all reported values, divided by the integral over time of the number of reported values. The variance, standard deviation, skewness, and kurtosis inspectors have this same domain. In particular, computers that fail and computers that report no values don't affect these statistics.

The sample interval is the time between consecutive samples on a single computer. The mean sample interval is the integral over time of the sum over computers of the sample interval divided by the integral over time of the number of reporting computers. This is the inverse of the mean sample rate.

This is the inverse of the mean sample interval.

Returns the mean count of the computers where the inspection has succeeded.

The integral over time of the sum of all values reported divided by the integral over time of the number of computers reporting this property (successfully or failing).

This is the integral over time of the number of values reported divided by the integral over time of the number of computers reporting. That is, this is a mean over both time and computers.

Provides a measure of zero values, which is useful in interpreting the logarithmic results, which ignore zero values. The logarithmic results generally aren't interesting for any property that can be zero, so this inspector can be used to test for that issue.

The minimum over time and computers of the total of simultaneous values. (Thus, for a singular property, the same as "minimum value.").

The minimum single value reported by any computer over the duration of the bin.

Returns a floating point number representing the skewness (a measure the assymetry of the data) over the specified bin.

Returns a floating point number representing the standard deviation of the data over the specified bin.

Returns the starting time of the statistical bin.

The integral over time of the number of successful computers divided by the integral over time of the number of reporting computers.

Returns the lower bound of a group of statistical bins.

Returns the upper bound of a group of statistical bins.

Returns the variance of the specified statistical bin.