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Data Visualization with D3.js Cookbook
Data Visualization with D3.js Cookbook

Data Visualization with D3.js Cookbook: Turn your digital data into dynamic graphics with this exciting, leading-edge cookbook. Packed with recipes and practical guidance it will quickly make you a proficient user of the D3 JavaScript library.

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Data Visualization with D3.js Cookbook

Chapter 2. Be Selective

In this chapter we will cover:

  • Selecting a single element
  • Selecting multiple elements
  • Iterating through a selection
  • Performing subselection
  • Function chaining
  • Manipulating raw selection

Introduction

One of the most fundamental tasks that you need to perform with any data visualization project using D3 is selection. Selection helps you target certain visual elements on the page. If you are already familiar with the W3C standardized CSS selector or other similar selector APIs provided by popular JavaScript libraries, such as jQuery and Zepto.js, then you will find yourself right at home with D3's selection API. Don't worry if you haven't used selector API before, this chapter is designed to cover this topic in steps with the help of some very visual recipes; it will cover pretty much all common use cases for your data visualization needs.

Introducing selection: Selector support has been standardized by W3C so all modern web browsers have built-in support for the selector API. However the basic W3C selector API has its limitations when it comes to web development, especially in the data visualization realm. The standard W3C selector API only provides selector...

Selecting a single element

It is very common that sometimes you need to select a single element on a page to perform some visual manipulation. This recipe will show you how to perform a targeted single element selection in D3 using CSS selector.

Getting ready

Open your local copy of the following file in your web browser:

https://github.com/NickQiZhu/d3-cookbook/blob/master/src/chapter2/single-selection.html

How to do it...

Let's select something (a paragraph element perhaps) and produce the classic "hello world" on screen.

<p id="target"></p> <!-- A -->

<script type="text/javascript">
    d3.select("p#target") // <-- B
    .text("Hello world!"); // <-- C
</script>

This recipe simply produces a Hello world! on your screen.

How it works...

The d3.select command is used to perform a single element selection in D3. This method accepts a string representing a valid CSS3 selector or an element object if you...

Selecting multiple elements

Often selecting a single element is not good enough, but rather you want to apply certain change to a set of elements on the page simultaneously. In this recipe, we will play with D3 multi-element selector and its selection API.

Getting ready

Open your local copy of the following file in your web browser:

https://github.com/NickQiZhu/d3-cookbook/blob/master/src/chapter2/multiple-selection.html

How to do it...

This is what the d3.selectAll function is designed for. In this code snippet, we will select three different div elements and enhance them with some CSS classes.

<div></div>
<div></div>
<div></div>

<script type="text/javascript">
    d3.selectAll("div") // <-- A
    .attr("class", "red box"); // <-- B
</script>

This code snippet produces the following visual:

How to do it...

Multi-element selection

How it works...

First thing you probably would notice in this example is how similar the...

Iterating through a selection

Sometimes it is handy to be able to iterate through each element within a selection and modify each element differently according to their position. In this recipe, we will show you how this can be achieved using D3 selection iteration API.

Getting ready

Open your local copy of the following file in your web browser:

https://github.com/NickQiZhu/d3-cookbook/blob/master/src/chapter2/selection-iteration.html

How to do it...

D3 selection object provides simple iterator interface to perform iteration in a similar fashion as how you will iterate through a JavaScript array. In this example we will iterate through three selected div elements we worked with in the previous recipe and annotate them with an index number.

<div></div>
<div></div>
<div></div>

<script type="text/javascript">
d3.selectAll("div") // <-- A
            .attr("class", "red box") // <-- B
            .each(function...

Performing subselection

It is quite common that you will need to perform scoped selection when working on visualization. For example, selecting all div elements within a particular section element is one use case of such scoped selection. In this recipe, we will demonstrate how this can be achieved with different approaches and their advantages and disadvantages.

Getting ready

Open your local copy of the following file in your web browser:

https://github.com/NickQiZhu/d3-cookbook/blob/master/src/chapter2/sub-selection.html

How to do it...

The following code example selects two different div elements using two different styles of subselection supported by D3.

<section id="section1">
    <div>
        <p>blue box</p>
    </div>
</section>
<section id="section2">
    <div>
        <p>red box</p>
    </div>
</section>

<script type="text/javascript">
    d3.select("#section1 > div...

Introduction


One of the most fundamental tasks that you need to perform with any data visualization project using D3 is selection. Selection helps you target certain visual elements on the page. If you are already familiar with the W3C standardized CSS selector or other similar selector APIs provided by popular JavaScript libraries, such as jQuery and Zepto.js, then you will find yourself right at home with D3's selection API. Don't worry if you haven't used selector API before, this chapter is designed to cover this topic in steps with the help of some very visual recipes; it will cover pretty much all common use cases for your data visualization needs.

Introducing selection: Selector support has been standardized by W3C so all modern web browsers have built-in support for the selector API. However the basic W3C selector API has its limitations when it comes to web development, especially in the data visualization realm. The standard W3C selector API only provides selector but not selection...

Selecting a single element


It is very common that sometimes you need to select a single element on a page to perform some visual manipulation. This recipe will show you how to perform a targeted single element selection in D3 using CSS selector.

Getting ready

Open your local copy of the following file in your web browser:

https://github.com/NickQiZhu/d3-cookbook/blob/master/src/chapter2/single-selection.html

How to do it...

Let's select something (a paragraph element perhaps) and produce the classic "hello world" on screen.

<p id="target"></p> <!-- A -->

<script type="text/javascript">
    d3.select("p#target") // <-- B
    .text("Hello world!"); // <-- C
</script>

This recipe simply produces a Hello world! on your screen.

How it works...

The d3.select command is used to perform a single element selection in D3. This method accepts a string representing a valid CSS3 selector or an element object if you already have a reference to the element you want to select...

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Key benefits

  • Create stunning data visualization with the power of D3
  • Bootstrap D3 quickly with the help of ready-to-go code samples
  • Solve real-world visualization problems with the help of practical recipes

Description

D3.js is a JavaScript library designed to display digital data in dynamic graphical form. It helps you bring data to life using HTML, SVG, and CSS. D3 allows great control over the final visual result, and it is the hottest and most powerful web-based data visualization technology on the market today. "Data Visualization with D3.js Cookbook" is packed with practical recipes to help you learn every aspect of data visualization with D3. "Data Visualization with D3.js Cookbook" is designed to provide you with all the guidance you need to get to grips with data visualization with D3. With this book, you will create breathtaking data visualization with professional efficiency and precision with the help of practical recipes, illustrations, and code samples. "Data Visualization with D3.js Cookbook" starts off by touching upon data visualization and D3 basics before gradually taking you through a number of practical recipes covering a wide range of topics you need to know about D3. You will learn the fundamental concepts of data visualization, functional JavaScript, and D3 fundamentals including element selection, data binding, animation, and SVG generation. You will also learn how to leverage more advanced techniques such as custom interpolators, custom tweening, timers, the layout manager, force manipulation, and so on. This book also provides a number of pre-built chart recipes with ready-to-go sample code to help you bootstrap quickly.

Who is this book for?

If you are a developer familiar with HTML, CSS, and JavaScript, and you wish to get the most out of D3, then this book is for you. This book can also serve as a desktop quick-reference guide for experienced data visualization developers.

What you will learn

  • Learn how to use functional JavaScript so you can write it the D3 way
  • Select and manipulate HTML and SVG elements efficiently in D3
  • Drive your visualization using data
  • Master D3 scales and interpolators
  • Animate your visualization with style
  • Use SVG and various D3 path generators
  • Explore D3 layouts and understand and leverage D3 force
  • Build mobile-first interactive visualization with touch support
  • Test-drive your visualization implementation
  • Build multi-dimensional data visualization with crossfilter and dc.js in minutes

Product Details

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Publication date : Oct 24, 2013
Length: 338 pages
Edition : 1st
Language : English
ISBN-13 : 9781782162162
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Product Details

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Length: 338 pages
Edition : 1st
Language : English
ISBN-13 : 9781782162162
Category :
Languages :
Tools :

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Table of Contents

15 Chapters
1. Getting Started with D3.js Chevron down icon Chevron up icon
2. Be Selective Chevron down icon Chevron up icon
3. Dealing with Data Chevron down icon Chevron up icon
4. Tipping the Scales Chevron down icon Chevron up icon
5. Playing with Axes Chevron down icon Chevron up icon
6. Transition with Style Chevron down icon Chevron up icon
7. Getting into Shape Chevron down icon Chevron up icon
8. Chart Them Up Chevron down icon Chevron up icon
9. Lay Them Out Chevron down icon Chevron up icon
10. Interacting with your Visualization Chevron down icon Chevron up icon
11. Using Force Chevron down icon Chevron up icon
12. Know your Map Chevron down icon Chevron up icon
13. Test Drive your Visualization Chevron down icon Chevron up icon
A. Building Interactive Analytics in Minutes Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Top Reviews
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Full star icon Full star icon Full star icon Full star icon Half star icon 4.3
(18 Ratings)
5 star 55.6%
4 star 22.2%
3 star 16.7%
2 star 5.6%
1 star 0%
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Weidong Yang May 27, 2014
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Although I have never met Nick in person, but I have seen his work, and have no doubt he is a super guru in using D3.js for data visualization. Glad that he is sharing his knowledge and experience in this wonderful book. Highly recommended.Also, if you are interested in doing interactive, multi-dimension data analytics and visualization, check out his dc.js repository on github.
Amazon Verified review Amazon
Sebastian Gebski Feb 12, 2014
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Truly a perfect tutorial, if you want to:* learn D3 basics* see interesting examples that cover the spectrum of D3 featuresEverything is covered by really illustrative examples, descriptions are clear and the code is well annotated. This book will be perfect for you if you like the form of 'cookbooks'.Any cons? Some. Bad formatting on Kindle Fire HDX (problems with font size). I've also found few more examples for multi-series charts I'd like to see - they seem quite common, but they are not covered.Anyway - both D3 itself and this book are awesome. If you're up to learn about the best visualization library and you're keen on data science: you'll love them both.
Amazon Verified review Amazon
guessous saad Jul 16, 2014
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I'm glad I came across Nick's book, it was definitely worth the buy and as another reviewer pointed out it's definitely the best book on D3.js at the moment! I would recommend it to D3 neophytes as the first chapters are dedicated to the basics, although I feel that a good base in javascript is definitely needed... All in all a great book on the subject and many thanks for the author!
Amazon Verified review Amazon
Oh, Myung Woon Jan 29, 2014
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is the best choice to learn d3.This book is truly well organized, from the development environment to the advanced techniques.Starting from the selection and data joining, which are the most important and fundamental parts of d3, you can learn d3 very smoothly with simple but essential examples.If I have to recommend only 1 book for learning d3, this book will be.
Amazon Verified review Amazon
Amadeo Dec 19, 2013
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I have read quite a few books / tutorials on D3.js, and this is by far the best. It is concise, thorough, and doesn't waste time on stupid things that most readers already know. If you want to learn to code your own visualizations in D3 instead of simply reusing others' code, then get this book now -- it covers essential things that are not easily learnt elsewhere, and in a very systematic way, despite being called a "cookbook".
Amazon Verified review Amazon
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