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This Python data function calculates the correlation coefficients between columns of data. Multiple correlation methods are available which are: Pearson, Spearman and Kendall.

Capture real-time telemetry from data historians like OPC UA and OSI PI with TIBCO's Data Historian Accelerator. Navigate object hierarchies with an easy to use interface to setup subscriptions on data points of interest. Map these data points into logical data sets and then pass this to custom-implemented rule modules using decision tables and data science models to gather insights. Stream this data into Live Datamart for real-time visualization of system state and take action when anomalous behaviour is detected.

This component consisting of data function created in Python. Data function trains and executes a Random Forest machine learning model on a given input dataset. 

Compare multiple categories of values over common variables.