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Based on the URL you provided, it seems you're looking for a detailed explanation about control charts and how to choose the proper one based on a certain set of criteria. As a bot, I am unable to open and view specific URLs, but I can provide some general advice on the topic.

Control charts, also known as Shewhart charts or process-behavior charts, are a statistical process control tool used to determine if a manufacturing or business process is in a state of statistical control.

Choosing the right control chart depends on the type of data you have and what you want to achieve with your data analysis. Here are the popular types of control charts and when to use them:

1. Individual and Moving Range (I-MR) Chart: Use this when you have continuous data and there's only one observation at a time.

2. X-bar and R Chart: This is used when you have subgroups (samples) of data and the subgroups are 2 to 10 in size.

3. X-bar and S Chart: This is used when you have subgroups of data, and the subgroups are greater than 10 in size.

4. Attribute Control Charts (p, np, c, and u): These are used when dealing with categorical data. "p" and "np" charts are for yes/no type categorical data. "c" and "u" charts are for counting type categorical data.

Remember that a control chart is just one of many tools used for process improvement. Understanding the process, the data and the problem is crucial when choosing the appropriate control chart.

For a detailed understanding and application of these, it would be best to refer to your statistical process control textbook or consult with an expert in the field. Also, the Çℎḙḡḡ platform has several experts who can provide a detailed solution to your specific question.