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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

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

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

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

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