Charts for Count Data: Making Sense of Data Chapter 13

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 also give my own understand …

Interpreting the Process Behavior Chart: Making Sense of Data Chapter 8

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 the audience since it is …

What Makes the XmR Chart Work? Making Sense of Data Chapter 11

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 Natural Process Limit (LNPL). Any …

Visualize Your Process Behaviour: Making Sense of Data Chapter 7

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 made me a bit confused …

Some Arithmetic: Making Sense of Data Chapter 6

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. The relationship between ratios, percentages, …

Graphical Purgatory: Making Sense of Data Chapter 5

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 is actually simple: less is more. …

Visualize Your Data: Making Sense of Data Chapter 4

Chapter 4 covers some basic charts that will be used to visualize data. I think most of my readers would know those charts very well. But, I would still like to recap some important points. Still, I learned some new things as well, such as Pareto Charts, and recalled some old memory in high school …

Visualize Your Process: Making Sense of Data Chapter 2

In Chapter 2, the author introduces tools to visualize systems and processes. It mainly covers Brainstorming, Flowchart, Deployment Flowchart, PERT Diagram, Cause-and-Effect Diagram. It may seem elementary. But I still find it rewarding, and I have summarized the learnings in the following paragraphs. First, honesty is a prerequisite for useful flowcharts. I think you may …

Collecting Good Data: Making Sense of Data Chapter 3

Chapter 2 discusses how to visualize processes and systems. Chapter 3 talks about some issues in collecting data so that we can avoid them when analyzing systems. The chapter mainly consists of three parts: general requirements to collect good data, definitions that are operational, and some common pitfalls in interpreting data collected. For the first …

Why Continual Improvement? Making Sense of Data Chapter 1

Making Sense of Data, Donald J. Wheeler The chapter inspires me a lot. As a data professional, I believe in accurate measurements. We set metrics, KPI for our organizations to monitor how well our business performs. The metrics and KPI are usually result-oriented, for example, how many delinquency cases, how much time spent on processing …