Create a Control Chart Using Python with HoloViews 📈

AI_Evolutionary Technology

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

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00:23Tell me all your dreams align

00:27Sign me up and tell me about the people that you know

00:37Who are trying to feel alive

00:47Life can get hard, so honey, if you need to cry

00:52Just come share my pillow

00:56And rain, rain, go away

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01:22You know that I can take the truth

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01:31If you think I'm ever so fair

01:36Maybe I can turn it around

01:41Baby, if you want us

01:48You know time is on our side

01:51Oh, ah, ah, ah, ah

01:54Oh, ah, ah, ah, ah, ah ez

01:59Uka

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