Table Statistics

Overview

Aggregates numerical data and calculates running statistics — sum, average, minimum, or maximum. It accumulates values across frames and outputs the results as two tables.

Table Statistics operates in one of two input modes depending on configuration:

• Generic mode (default): receives a text label on the classification input and a number on the value input. Each unique label becomes a row in the output tables.
• Pre-specified mode: when input names are listed in the Pre-specified inputs parameter, the node creates one numbered input port per name. No separate classification input is required, the port name itself serves as the row label.

Use Table Statistics when:

• Tracking the total number of parts processed in a shift.
• Calculating the average rate of defective items during quality control.
• Monitoring minimum and maximum temperature readings from a sensor.

💡 Tip

Use the occurrences output to track how many data points have been collected for each input category.

Inputs

The available inputs depend on whether Pre-specified inputs is configured.

Generic mode (Pre-specified inputs is empty)

Name	Type	Description
classification	string	The label identifying the data category.
value	number	The numerical value to aggregate.
reset	any	Resets all accumulated values and counts to zero.

Pre-specified mode

Name	Type	Description
[input_name]	number	One port per comma-separated name in the configuration.
reset	any	Resets all accumulated values and counts to zero.

Outputs

Name	Type	Description
statistics	table	A table containing the calculated statistical values for each input.
occurrences	table	A table containing the count of values received per input.

Both tables use Classification as the first column. The second column depends on the table:

Table	Statistics method	Column header
statistics	sum	Σ(X)
statistics	average	Φ(X)
statistics	min	min(X)
statistics	max	max(X)
occurrences	(all)	# seen

Parameters

Parameter	Default	Valid values	Tunable
Statistics method	sum	sum, average, min, max	❌
Pre-specified inputs		string (comma-separated list)	❌
Enable automatic state reset	false	boolean	❌

Statistics method

Determines the aggregation function applied to incoming data:

• sum — running total of all received values.
• average — incremental mean, updated with each new value.
• min — smallest value seen so far.
• max — largest value seen so far.

Pre-specified inputs

A comma-separated list of input names. When set, the node creates one number input port for each name instead of the generic classification + value pair.

Defining input labels separated by commas. Will automatically create one input port per label.

Resulting input ports created from the configuration above.

Input names are normalized internally: spaces become underscores, non-alphanumeric characters are removed, and consecutive underscores are collapsed.

Enable automatic state reset

When enabled, the node automatically resets its accumulated state.

Example

Production tracking

Track the sum of "Good" and "Defective" items across an inspection shift.

Configuration:

• Statistics method: sum
• Pre-specified inputs: Good items, Defective items

After receiving 5 signals on "Good items" (values: 3, 1, 2, 4, 2) and 3 on "Defective items" (values: 1, 2, 1):

Output after five 'Good items' signals (3, 1, 2, 4, 2) and three 'Defective items' signals (1, 2, 1) with Statistics method set to sum.

Related links

Reference:

• Table — for displaying aggregated tables
• Accumulator — for simpler value accumulation