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Create a Control Chart Using Python with HoloViews 📈
描述
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
🔹 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
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