A tkinter based local tool for creating a statistical control chart locally. This is still in development and more features will be added over time including performance improvements via vectorizing ...

For example, in R, you can use the qcc package to create control charts, the ggplot2 package to create histograms, Pareto charts, scatter plots, or box plots, and the gridExtra package to arrange ...

Application designed for visualizing and monitoring control chart data in real-time. It leverages PyQt5 for an interactive and user-friendly interface, allowing users to dynamically explore data ...

Choosing the right chart type in Python depends on the nature of your data and the story you want to tell. For categorical data, bar charts are effective in comparing values.

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Statistical quality control (SQC) is a set of interrelated tools such as statistical process control (SPC), design of experiments, acceptance sampling, and other tools that are used to monitor and ...

This chapter examines control charts appropriate for conforming/nonconforming quality characteristics, called control charts for attributes. It discusses control charts for detecting significant ...