making sense of data

In the following 3 chapters, the author will talk about count data. It may sound easy to count. But, there are some subtleties to keep in mind when interpreting count data. The author introduces a concept called Areas of Opportunity. Before we can define what is Areas of Opportunity and

In this chapter, the author talks about how to detect the signal of assignable cause from a process behaviour chart. He first presents the characteristics of a predictable process, and then gives three major detection rules for an unpredictable process. However, my concern is how can we communicate them to

In Chapter 7: Visualize Your Process Behavior, the author introduces a tool called the XmR chart. XmR chart is used to detect assignable causes/ unpredictable events/ events that are outside routine variations. With that purpose in mind, the XmR chart includes two limits, Upper Nature Process Limit (UNPL) and Lower

In this chapter, the author introduces two types of variation, predictable and unpredictable, and the improvement strategies applied to each variation respectively. XmR chart is also presented as a tool to distinguish the types of variation. However, the author does not explain why XmR chart works in this Chapter. This

This chapter is also basic. It is about some common summary statistics, relationships between ratios, percentages, and proportions, and data types. I am not going to cover the summary statistics here since I am sure you already know what is averages, medians, ranges, root mean square deviations, and standard deviations.

I think Chapters 4, 5, 6 are some general introduction to visualization. Although at this stage, I haven’t completed Chapter 6 and onward, I think the chapters are to prepare readers for more advanced topics and the author put those chapters in for completeness. The summary of Chapter 5