Statistical Process Control (SPC) is a quality control technique that uses statistical techniques to monitor and control the process and product quality. Although this is an age old technique, this is widely used in various applications such as manufacturing, health care, banking and other service related industries. In this blog post, I will not deep dive into SPC but, show you how easy it is to do process monitoring in R. Here, I have used a generic data set. But, if you have a system that collects the data automatically, then this can be automated.
Jupyter Notebook is also available here