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Data Visualization with D3 and AngularJS
Data Visualization with D3 and AngularJS

Data Visualization with D3 and AngularJS: Build dynamic and interactive visualizations from real-world data with D3 on AngularJS

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Profile Icon Erik Hanchett Profile Icon Körner
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€26.98 €29.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (7 Ratings)
eBook Apr 2015 278 pages 1st Edition
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€26.98 €29.99
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Arrow left icon
Profile Icon Erik Hanchett Profile Icon Körner
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€26.98 €29.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (7 Ratings)
eBook Apr 2015 278 pages 1st Edition
eBook
€26.98 €29.99
Paperback
€36.99
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Renews at €18.99p/m
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€26.98 €29.99
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Data Visualization with D3 and AngularJS

Chapter 2. Getting Started with D3.js

In this chapter, we will build our first simple scatter plot application using D3.js. Don't worry if you have no experience with D3.js, we will cover all the necessary topics from setting up a simple HTML template, selecting DOM elements, and binding data to DOM elements.

First, you will learn how to draw vector graphics with the use of D3.js. To get started, we will set up a simple D3.js application template that serves for all examples in this chapter.

In the second section, you will learn how to select and modify elements from the DOM and change their attributes and their appearance. Starting with modifying HTML elements, I will answer some common questions to understand the similarities and differences between D3.js and other JavaScript libraries. We will then apply these transformations to SVG elements.

Then, we will take a closer look at D3 Selections and CSS Selectors in D3.js. This will help us to understand how to find and select...

Building a simple scatter plot application

Did you ever wonder how Google Analytics, GitHub, or Wolfram Alpha create these beautiful and colorful plots of your data? Did you know that with D3.js, you have the power to create similar or even better visualizations right at your fingertips?

In this chapter, we will build a simple scatter plot application. This type of plot can be used to visualize the areas and frequency of clicks on a web page; the following figure shows an example of such a plot. The circles indicate typical areas of the website that are often clicked on, whereas the size and color of the circles show the amount of clicks on an area. To keep things simple, in the beginning, we will create a scatter plot and fill it with random data.

Building a simple scatter plot application

Simple scatter plot application

Creating an HTML template for D3.js

To set up a template page for all visualization examples, we first need to download D3.js and include it to the application. In this book, we will use version 3.5.5, but all of the examples should also work with slightly different versions (~3.4.12 and ~3.5.0). There are multiple ways to add D3.js to an application:

The easiest way to use D3.js in our application is to simply download D3.js directly from GitHub and extract it into the libs directory. In contrast to the CDN method, this does not require an active Internet connection while developing. However, the recommended way is to use a package manager such as bower to manage and configure all third-party dependencies.

So...

Selecting and modifying DOM elements

D3.js provides a variety of functions to manipulate elements of the DOM tree, such as setting their attributes, changing their content, creating new elements, or removing them. As you learned in the first chapter, instead of looping through elements and modifying them one by one, with D3.js, we are applying transformations in a declarative way directly to an array of elements. We call the object that stores all the elements in an array a Selection.

To extract such an array of elements from the DOM tree, D3.js offers the d3.selectAll(selector) function to select all elements of a specific type and the d3.select(selector) function to select just a single element. While both functions return a Selection that contains an array of elements, the latter function returns an array with solely a single element.

To tell D3.js which elements we want to select, we use so-called CSS selectors (these are the standard CSS selectors that most developers are already familiar...

Binding data to DOM elements

Data binding techniques are very powerful in D3.js because they enable us to generate graphical content based on data. In general, with the data-driven approach, we can declare the graphical elements to match the data instead of looping through the data and drawing the elements one by one.

selection.data(values[, key])

D3-Selections provide the .data([values[, key]]) method to bind an array of arbitrary data to a Selection. It will return a new Selection that stores the bound data internally and binds every element of the data array to an element of the Selection.

The first values argument is an array of values or a function that returns an array of values. With the second optional key argument, we can specify a function that identifies each element of the array. The key argument is important for D3.js to identify and keep track of the elements for the data joins. Let's first take a look at a simple example:

<svg width="400" height="200&quot...

Creating a simple scatter plot

In this chapter, we have so far gathered a lot of knowledge that we want to apply to a real-world application. Let me briefly summarize what you learned so far: creating a Selection of circles, binding an array of data to the Selection, creating new circles if there are new values in the array, and changing their attributes depending on the bound data. These are all the necessary prerequisites to create a first scatter chart. In the following figure, we can already see what we want to create:

Creating a simple scatter plot

Simple scatter chart

To go one step further, we want to add and delete data points to the chart to use and see the power of data joins. Let's start with a simple setup and create the parent container of the chart:

<svg width="800" height="500"></svg>
<script type="text/javascript">
// Our code goes here
</script>

Now, we need to create an array of data points that we want to draw. These points can differ in the coordinates...

Building a simple scatter plot application


Did you ever wonder how Google Analytics, GitHub, or Wolfram Alpha create these beautiful and colorful plots of your data? Did you know that with D3.js, you have the power to create similar or even better visualizations right at your fingertips?

In this chapter, we will build a simple scatter plot application. This type of plot can be used to visualize the areas and frequency of clicks on a web page; the following figure shows an example of such a plot. The circles indicate typical areas of the website that are often clicked on, whereas the size and color of the circles show the amount of clicks on an area. To keep things simple, in the beginning, we will create a scatter plot and fill it with random data.

Simple scatter plot application

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Description

If you are a web developer with experience in AngularJS and want to implement interactive visualizations using D3.js, this book is for you. Knowledge of SVG or D3.js will give you an edge to get the most out of this book.

Who is this book for?

If you are a web developer with experience in AngularJS and want to implement interactive visualizations using D3.js, this book is for you. Knowledge of SVG or D3.js will give you an edge to get the most out of this book.

What you will learn

  • Design, implement, and integrate an interactive dashboard to visualize server logs in real time using D3 graphics
  • Learn crossplatform vector graphics to implement a dashboard visualization
  • Perform datadriven transformations on selected HTML and SVG nodes
  • Map, group, and filter datasets and create scales and axes
  • Modularize data visualization information into reusable components to seamlessly integrate them into an AngularJS application
  • Load, parse, and preprocess external data and autoupdate the visualization
  • Design various chart types such as scatter, line, bar, or area and extend builtin shapes
  • Create custom animations and transitions for the visualization
  • Implement interactions and controls for the visualization preserving twoway binding between D3 and AngularJS components

Product Details

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Publication date : Apr 27, 2015
Length: 278 pages
Edition : 1st
Language : English
ISBN-13 : 9781784395780
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Publication date : Apr 27, 2015
Length: 278 pages
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Language : English
ISBN-13 : 9781784395780
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Table of Contents

10 Chapters
1. The Magic of SVG, D3.js, and AngularJS Chevron down icon Chevron up icon
2. Getting Started with D3.js Chevron down icon Chevron up icon
3. Manipulating Data Chevron down icon Chevron up icon
4. Building a Chart Directive Chevron down icon Chevron up icon
5. Loading and Parsing Data Chevron down icon Chevron up icon
6. Drawing Curves and Shapes Chevron down icon Chevron up icon
7. Controlling Transitions and Animations Chevron down icon Chevron up icon
8. Bringing the Chart to Life with Interactions Chevron down icon Chevron up icon
9. Building a Real-time Visualization to Monitor Server Logs Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

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Full star icon Full star icon Full star icon Full star icon Half star icon 4.6
(7 Ratings)
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4 star 14.3%
3 star 14.3%
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Sven Maschek Jun 21, 2015
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book provides a good introduction to integrate D3 into AngularJS with many step-by-step examples. If you are familiar with AngularJS and want to integrate data visualization into applications this book is a good starting point. After completing the book you have some working chart directives that can be easily extended to more advanced directives.I like the style in which the book is written: For every topic the theoretical approach is briefly explained at the beginning, followed by step-by-step discussions of the practical usage with code samples. This makes the book easy to read and allows you to skip sections if you are already familiar with the content.In my opinion most of the content has an appropriate length and depth, but Chapter 4 covers unit and E2E testing basics with too much details. This makes the chapter a little bit hard to read. The author assumes that the reader is familiar with AngularJS basics, and in my opinion these fundamentals include proper testing.Another point of criticism is the focus on the mouse as input device and a layout that is primarily designed for desktop views. I missed some touch examples with responsive design. But maybe this exceeds the scope of the book.I recommend the book for every web developer who is familiar with AngularJS and wants to add data visualization to their projects. One do not necessarily need to know D3.js, the book will help you get started with the library. If you already use D3.js, you can use the basic sections to refresh your knowledge.
Amazon Verified review Amazon
T. Benjamin Jul 04, 2015
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I have a bit of a love-hate relationship with D3. I continue to be very impressed with what it can do -- the ability to create dynamic, really immersive data experiences is fantastic. But, despite several books on D3 itself, I've continued to be frustrated with how to integrate it into a web framework. If your story is similar to mine, then you'll find that this is an excellent book. It starts with reminders about D3, many readers may know that already. In addition, there is some review of Angular, but that is largely already assumed. Thus, the target audience is those, similar to my entry point, that want to understand how to work with D3 in the Angular framework.For me the really important part of the book started with chapter 4 and went to the end. The author's description of how to build directives containing D3 and how to do unit testing with it, I found really valuable. A previous reviewer found the unit testing (Karma and Protractor) to be distracting. I thought it good to have it described at length and easy to read around if you are already familiar with the unit testing approaches and how to set them up.In some ways you can view the entire book as a commentary on the code base being built up to the very end. I like this way of structuring a code-book, since you can see into and understand the final product with greater precision and have something that you can build on at the end. I've many books that teach small snippets and/or give the theory, but leave the larger code examples to someone else. The final project, described in sufficient detail to understand how to move data into the system, how to process the data, how to manage animations, and how to make the interactions dynamic is the visual understanding of a server log. This example can be easily extended to other domains, and so I felt was both transparent and one with real 'legs' for use in other settings.So, in sum, if you have been looking for a good book, or some type of code-based tutorial, on how to use D3 in Angular to get something non-trivial done, this is the one to get.
Amazon Verified review Amazon
bilru Jan 15, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great book if you have some experience with angular and some basic knowledge of SVG. Good coverage of all of the material.
Amazon Verified review Amazon
Amitesh Kumar Aug 28, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Perfect for anyone starting with D3 and having a prior Angular experience makes it even more fun to read.
Amazon Verified review Amazon
Pramod Boda Jun 14, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Book quality is very good
Amazon Verified review Amazon
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