Usages of analytics nodes¶

The analytics nodes are helpful to design flows which have array or time series data. The maximum array input size is limited to 2000.

Extrapolate¶

The node returns the input arrays or time series data. The return value also includes the extrapolated datapoints.

Crest¶

The crest node computes the crest factor for an inputted array values and time series data.

Kurtosis¶

The kurtosis node computes the kurtosis for the input of array values and time series data.

Skewness¶

The skewness node computes the skewness for the input of array values and time series data.

Standard deviation¶

The node computes the sample or population standard deviation for the values referenced by the defined input parameter of the array / time series.

Variance¶

The skewness node computes the variance for the input of array values and time series data.

Derive¶

For inputs of array values and time series data, derivative is calculated for a set of data points.

Integrate¶

The nodes compute the integral for the input of array values and time series data.

Interpolate¶

The node interpolates values referenced by one parameter of the time series using linear or cubic spline interpolation.

FFT¶

The node returns an array with the parameter values of the defined parameter, discarding other time series information.

Extract parameter¶

The node returns array values which are defined to be extracted in the parameter.

Moving average¶

For inputs of array values and time series data, moving average is calculated for a set of data points.

Map¶

The map node maps time series data values to new values.

Filter¶

For a given array or time series data, the node filters and passes the filtered values to the output.

Timeseries splitter¶

For a given array or time series data, the node splits a message payload into several small messages if the gaps between any two time series is greater than the given interval