Common methods for retrieving data from PI include using PiVision (or ProcessBook) and the Pi Data-Link Excel add-in. While these tools serve specific purposes, their functionality is quite limited when delving into in-depth data analysis or modeling.

Fortunately, there are powerful open-source tools, such as piconnect, that allow seamless interfacing with PI using Python. Once you've successfully imported PI data into Python, a myriad of packages becomes accessible for sophisticated analysis and modeling.

To guide you through the process, I invite you to download the Jupyter notebook demonstrating how to construct an inferential model using Python. Let's explore the capabilities and possibilities of leveraging Python for enhanced data analysis and modeling with Python

Inferential Demo - Notebook 

Inferential Demo - pdf version