In this tutorial, I’ll show you how to create a Control Chart (also known as a Statistical Process Control (SPC) Chart) using Python. Control charts are essential for monitoring process stability and detecting variations in manufacturing, healthcare, finance, and more.
🔹 What You’ll Learn:
✔ How to generate synthetic process data using NumPy
✔ Calculating Upper Control Limit (UCL) and Lower Control Limit (LCL)
✔ Visualizing control charts with HoloViews and Bokeh for interactive plots
✔ Customizing the chart for better readability
