ABOUT THIS BOOK xv
The next four chapters use D3 in the ways we typically think of. Chapter 4 teaches
you how to create simple graphics from data, such as line charts, axes, and boxplots.
Chapter 5 gives an in-depth exploration of various traditional data visualization lay-
outs such as pie charts, violin plots, and histograms as well as more exotic charts such
as Sankey diagrams and word clouds. Chapter 6 is devoted to hierarchical data visual-
izations such as treemaps and dendrograms, suitable for nested data such as organiza-
tional charts or economic sectors of the stock market. Chapter 7 focuses on network
data visualization, which might seem exotic, but is being used more and more in a
variety of domains. Chapter 8 dives into the rich mapping capabilities in D3, and
includes using TopoJSON to do interesting geodata manipulation in the browser.
The last three chapters cover topics that can be considered deep dives into D3.
Chapter 9 focuses on integrating D3 into another framework, in this case the popular
React library. Chapter 10 teaches you about creating your own D3 layouts and compo-
nents. Chapter 11 is all about optimizing data visualization for large datasets. Even if
you don’t think you’ll ever use D3 in these ways, each of these chapters still touches on
key aspects of using D3.
How to use this book
If you’re getting started with D3, I suggest going through chapters 1 through 4 in order.
Each chapter builds on its predecessor and establishes the basic principles not only of D3
but also of data visualization. After that, it depends on what you plan to use D3 for. If
your data is mostly geographic, then you can jump to chapter 8. If your data is mostly
network data, you can jump to chapter 7. If you’re doing traditional data visualization,
then I suggest going to chapters 5 and 6 and then on to chapter 9 to start thinking about
dashboards, which are a key component of traditional data visualization.
If you’ve been using D3 for a while and want to improve your skills, I suggest skim-
ming the first three chapters. The parts that I think might be of particular interest are
in chapter 3, and deal with color and loading external resources such as SVG icons or
HTML content. You might also want to review generators and components in chap-
ter 4 to fill in any gaps you might have dealing with these common, but often under-
examined, parts of D3. After that, it depends on what you see as your strengths and
goals for using D3. If you want to maximize traditional data visualization, look at
chapters 5 and 6 to see the layouts, and then look at chapter 9 for dashboards in a
modern JavaScript development environment. If you’re familiar with most of the
content there, look at chapter 11 for optimization techniques you might want to
bring into your data visualization, or look at chapter 10 and think about how you
might use the D3 tricks you know to build new layouts or reusable components.
Much of the value of this book comes in chapters 7 and 8, which go into great
detail about using D3 for two major areas of data visualization: networks and maps.
Along those lines, the use of HTML5 canvas in chapter 11 is an area that even experi-
enced D3 developers might not be familiar with.
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