Chapter 1, Getting Started with D3.js, introduces you to D3.js and building a simple application using several tools to help with its creation.

Chapter 2, Selections and Data Binding, teaches you how to use D3.js selections to create DOM elements based on data.

Chapter 3, Creating Visuals with SVG, introduces you to Scalable Vector Graphics and how to use them to render various shapes that are commonly used in D3.js visualizations.

Chapter 4, Creating a Bar Graph, demonstrates how to create a bar graph from given data.

Chapter 5, Using Data and Scales, shows you how to load data from external sources in different formats and convert it into information suitable for visualization.

Chapter 6, Creating Scatter and Bubble Plots, demonstrates how to load, scale, and plot multidimensional data in a manner that makes patterns clear to users.

Chapter 7, Creating Animated Visuals, teaches you to use animations in your D3.js applications to demonstrate how data changes over time.

Chapter 8, Adding User Interactivity, shows you how to allow users to interact with your visualizations using the mouse.

Chapter 9, Complex Shapes Using Paths, shows you how to use many of the built-in tools in D3.js to automatically generate complex paths with a few simple statements.

Chapter 10, Using Layouts to Visualize Series and Hierarchical Data, focuses on creating complex graphs that utilize the layout objects of D3.js. This includes a multitude of graphs in different categories, including stacked, packed, clustered, flow-based, hierarchical, and radial.

Chapter 11, Visualizing Information Networks, dives into demonstrating how you can use D3.js to visualize network data such as is found in social networks.

Chapter 12, Creating Maps with GeoJSON and TopoJSON, teaches you how to create maps and highlight regions on them using two forms of geographic data: Geo and TopoJSON.

Chapter 13, Combining D3.js and AngularJS, discusses how you can integrate multiple D3.js visualizations using Angular.js to create reactive visualizations.

All of the tools used in this book are available on the Internet free of charge. All that is required is a modern web browser to run the samples, and all code can be edited and run online within the browser. To be specific about what makes up a modern browser, this includes Firefox, Chrome, Safari, Opera, IE9+, Android, and iOS.

Whether you are new to data and data visualization, a seasoned data scientist, or a computer graphics specialist, this book will provide you with the skills you need to create web-based and interactive data visualizations. This book assumes some knowledge of coding and, in particular, experience in coding with JavaScript.

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "Now using the selector variable we call the .enter() function and assign it to a variable named entering."

A block of code is set as follows:

<div id='div1'>A</div>
<div id='div2'>B</div>
<div id='div3'>C</div>
<div id='div4'>D</div>
<script>
    var selector = d3.select('body')
                     .selectAll('div');
</script>

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

function render(dataToRender) {
    var selector = d3.select('body')
        .selectAll('div')
        .data(dataToRender);

    var entering = selector.enter();
    entering.append('div')
        .text(function(d) { return d; });
} 

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "The value for Mikael was changed to 25."

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To send us general feedback, simply e-mail <[email protected]>, and mention the book's title in the subject of your message.

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