Data Visualization with D3.js Cookbook

Data Visualization with D3.js Cookbook

By : Nick Zhu

Buy this Book

Data Visualization with D3.js Cookbook

By: Nick Zhu

Buy this Book

Overview of this book

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.

Data Visualization with D3.js Cookbook

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

Free Chapter

Getting Started with D3.js

Introduction

Setting up a simple D3 development environment

Setting up an NPM-based development environment

Understanding D3-style JavaScript

Be Selective

Introduction

Selecting a single element

Selecting multiple elements

Iterating through a selection

Performing subselection

Function chaining

Manipulating the raw selection

Dealing with Data

Introduction

Binding an array as data

Binding object literals as data

Binding functions as data

Working with arrays

Filtering with data

Sorting with data

Loading data from a server

Tipping the Scales

Introduction

Using quantitative scales

Using the time scale

Using the ordinal scale

Interpolating a string

Interpolating colors

Interpolating compound objects

Implementing a custom interpolator

Playing with Axes

Introduction

Working with basic axes

Customizing ticks

Drawing grid lines

Dynamic rescaling of axes

Transition with Style

Introduction

Animating a single element

Animating multiple elements

Using ease

Using tweening

Using transition chaining

Using transition filter

Listening to transitional events

Implementing a custom interpolator

Working with timer

Getting into Shape

Introduction

Creating simple shapes

Using a line generator

Using line interpolation

Changing line tension

Using an area generator

Using area interpolation

Using an arc generator

Implementing arc transition

Chart Them Up

Introduction

Creating a line chart

Creating an area chart

Creating a scatter plot chart

Creating a bubble chart

Creating a bar chart

Lay Them Out

Introduction

Building a pie chart

Building a stacked area chart

Building a treemap

Building a tree

Building an enclosure diagram

Interacting with your Visualization

Introduction

Interacting with mouse events

Interacting with a multi-touch device

Implementing zoom and pan behavior

Implementing drag behavior

Using Force

Introduction

Using gravity and charge

Generating momentum

Setting the link constraint

Using force to assist visualization

Manipulating force

Building a force-directed graph

Know your Map

Introduction

Projecting the US map

Projecting the world map

Building a choropleth map

Test Drive your Visualization

Introduction

Getting Jasmine and setting up the test environment

Test driving your visualization – chart creation

Test driving your visualization – SVG rendering

Test driving your visualization – pixel-perfect bar rendering

Building Interactive Analytics in Minutes

Introduction

The crossfilter.js library

Dimensional charting – dc.js

Index

Customer Reviews

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About the Reviewers

Andrew Berls is a Ruby and JavaScript developer and lives in Santa Barbara, CA. He's been building websites ever since he learned what an HTML tag was, and has since fallen in love with full-stack application development. He was recently an intern at Causes.com, where he developed data dashboards using D3.js for visualizing social networks. Andrew is completing his degree in Computer Science at the University of California, Santa Barbara, and when he's not programming you can find him learning to cook (badly) or hiking up a mountain somewhere.

Kevin Coughlin holds both Computer Science and Economics degrees from The College of New Jersey. He is a JavaScript developer with over two years of industry experience. At work and at home, Kevin combines HTML5 standards with cutting-edge client- and server-side technologies such as Angular.js, Backbone.js, and Node.js to produce effective modern solutions for the open web.

Kevin regularly posts tutorials on emerging web technologies on his website http://kevintcoughlin.com.

Ismini Lourentzou has a Business Administration B.Sc. and a long-standing career in the banking sector, at National Bank of Greece. Learning programming in Java in her spare time and her continuous urge for novelty, drove her to pursue a second degree in Computer Science from Athens University of Economics and Business (AUEB). During her undergraduate studies, she has participated in the Knowledge Discovery and Data Mining Cup 2012, as a member of the Data and Web Mining Group of AUEB, headed by Professor Michalis Vazirgiannis, and worked on "Automated Snippet Generation of Online Advertising", which led to a publication at CIKM 2013. Meanwhile, she also participated at ImageClef 2013 as a member of the Information Retrieval Group of AUEB, headed by Professor Theodore Kalamboukis. Their participation was placed second in the Textual Ad-hoc image-based retrieval and fifth in Visual Ad-hoc image-based retrieval. Due to her love for research and programming, there was no doubt about changing her career orientation; she is currently a PhD student at University of Illinois at Urbana – Champaign, combining Machine Learning and Information Retrieval in developing intelligent information systems that will improve a user's productivity by decreasing the amount of manual involvement in searching, organizing, and understanding information from mainly textual sources. After completing her PhD, she hopes to continue working in research, and to be able to learn more and more each day.

Pablo Navarro is a data visualization consultant from Chile. He earned his Master's degree in Applied Mathematics from École des Mines de Saint-Etienne, France. After working for some years in operations research and data analysis, he decided to specialize in data visualization for web platforms, in which he currently works. In his free time, he enjoys doing watercolor illustrations, running and reading about human evolution. His most recent works can be seen at http://pnavarrc.github.io.

Data Visualization with D3.js Cookbook

By : Nick Zhu

Data Visualization with D3.js Cookbook

By: Nick Zhu

Overview of this book

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Data Visualization with D3.js Cookbook

About the Reviewers