A sampled calculation uses aggregated values of one or more data references as input and runs the calculation script to output a single value for each time interval processed.
Sampled calculation settings
Time interval
 The time interval at which the calculation script runs and thus outputs a value.
 For a seconds level time interval, the seconds fraction of the timestamp of a result will be a multiple of the time interval.
For example, a time interval of 5 seconds will result in a timestamp with a seconds fraction being a multiple of 5 seconds starting from 0 seconds (0, 5, 10, .. seconds).  The time interval is the same for all given input data references.
 Subsequent time intervals do not overlap. The start time is always inclusive to the interval, and the end time is always exclusive of the interval.
For example, subsequent calculations use the intervals[t1, t2[, [t2,t3[, [t3,t4[, ...
 The result of the calculation is written at the timestamp of the beginning of the interval.
For example, the result of a calculation running in the interval[t1, t2[
will write its result at timestampt1
.
Interval offset
 A seconds level offset is added to each minute before multiples of the time interval are taken into account.
For example, a time offset of 2 seconds with an interval of 5s, will result in a timestamp with a seconds fraction starting 2 seconds after the minute (2, 7, 12, .. seconds) instead of on the minute (0, 5, 10, .. seconds).
Evaluate Insufficient Data
 If enabled the script will run regardless of the availability of data for the input data references.
 If disabled the script will not be run on points where there are one or more values missing for the input data references. The calculation will write an error point with status `BadInsufficientData'
Input data reference(s)
The selection of data references is similar to the Raw calculation input data reference, with an additional settings for aggregation type and default value.

Alias
: An alias for the input data reference which must be used in the script to address the input data references. Aliases are automatically generated by the system in alphabetical order and must be preceded by an underscore (_
). The preceding underscore is automatically provided and thus fixed, yet the name of the alias can be changed as desired. 
Data reference type
: The type of the input data reference. The type can be eitherMeasurement
orAsset property
. 
Data reference
: The name of the data reference. The reference is selected by searching in all existing references of the chosen type over all databases. Note that there is no check on the health or configuration of the reference during selection. 
Aggregation type
: at each time interval, the aggregation function is applied to the input data reference. The aggregation type may differ between multiple input data references. The available aggregation types depend on the datatype of the data reference. More info on the aggregation types can be found below . 
Default value
: only available ifEvaluate Insufficient Data
is enabled. The default value will be used if there is no data for the input data reference.
Script
 The script outputs a new value starting from the aggregated values of the input data reference(s).
 Read further about setting up a calculation script .
Aggregation types
An overview of the possible aggregation types is listed below. Note that, depending on the datatype of the according input data reference, the aggregated value will be retrieved from a different field of the data reference. For more information about the time series data fields, checkout the influx storage model .
 a
number
input data reference > uses thevalue
field  a
string
input data reference > uses thevalue_str
field  a
boolean
input data reference > uses thevalue_bool
field  an
array
input data reference > uses thevalue
field (which records the length of the array)
count
Returns the number of nonnull fields values.
integral
Returns the area under the curve for subsequent field values.
mean
Returns the arithmetic mean (average) of field values.
median
Returns the middle value from a sorted list of field values.
mode
Returns the most frequent value in a list of field values.
spread
Returns the difference between the minimum and maximum field values.
stddev
Returns the standard deviation of field values.
sum
Returns the sum of field values.
first
Returns the field value with the oldest timestamp.
last
Returns the field value with the most recent timestamp.
max
Returns the greatest field value.
min
Returns the lowest field value.
Performance
Picking a shorter time interval for a sampled calculation will cause a calculation to be triggered more frequently and thus increase the load on the active machine.