Learning d3.js Data Visualization -
2nd Edition
Published on 28. April 2016
Book
Paperback/Softback
272 pages
978-1-78588-904-2 (ISBN)
Description
Inject new life into your data by creating compelling visualizations with d3.js
About This Book
* Understand how to best represent your data by developing the right kind of visualization
* Harness the power of D3 by building interactive and real-time data-driven web visualizations
* This book will provide a strong foundation in designing compelling web visualizations with D3.js
Who This Book Is For
This book is for web developers, data scientists, and anyone interested in representing data through interactive visualizations on the web with D3. Some basic JavaScript knowledge is expected, but no prior experience with data visualization or D3 is required to follow this book.
What You Will Learn
* Gain a solid understanding of the common D3 development idioms
* Be able to input data, transform it, and output it as a visualization
* Add simple effects and user interactions to a visualization
* Find out how to write basic D3 code for server using Node.js
* Automate testing visualizations using Mocha
* Achieve fluency in ES2015, the most modern version of JavaScript
In Detail
D3 has emerged as one of the leading platforms to develop beautiful, interactive visualizations over the web. We begin by setting up a strong foundation, then build on this foundation book will take you through the entire world of reimagining data using interactive, animated visualizations created in D3.js.
In addition to covering the various features of D3.js to build a wide range of visualizations, we also focus on the entire process of representing data through visualizations so that developers and those interested in data visualization will get the entire process right.
We also include chapters that explore a wide range of visualizations through practical use cases. By the end of this book, you will have unlocked the mystery behind successful data visualizations and will be ready to use D3 to transform any data into a more engaging and sophisticated visualization.
Style and approach
This book has comprehensive explanation on how to leverage the power of D3.js to create powerful and creative visualizations through step by step instruction
About This Book
* Understand how to best represent your data by developing the right kind of visualization
* Harness the power of D3 by building interactive and real-time data-driven web visualizations
* This book will provide a strong foundation in designing compelling web visualizations with D3.js
Who This Book Is For
This book is for web developers, data scientists, and anyone interested in representing data through interactive visualizations on the web with D3. Some basic JavaScript knowledge is expected, but no prior experience with data visualization or D3 is required to follow this book.
What You Will Learn
* Gain a solid understanding of the common D3 development idioms
* Be able to input data, transform it, and output it as a visualization
* Add simple effects and user interactions to a visualization
* Find out how to write basic D3 code for server using Node.js
* Automate testing visualizations using Mocha
* Achieve fluency in ES2015, the most modern version of JavaScript
In Detail
D3 has emerged as one of the leading platforms to develop beautiful, interactive visualizations over the web. We begin by setting up a strong foundation, then build on this foundation book will take you through the entire world of reimagining data using interactive, animated visualizations created in D3.js.
In addition to covering the various features of D3.js to build a wide range of visualizations, we also focus on the entire process of representing data through visualizations so that developers and those interested in data visualization will get the entire process right.
We also include chapters that explore a wide range of visualizations through practical use cases. By the end of this book, you will have unlocked the mystery behind successful data visualizations and will be ready to use D3 to transform any data into a more engaging and sophisticated visualization.
Style and approach
This book has comprehensive explanation on how to leverage the power of D3.js to create powerful and creative visualizations through step by step instruction
More details
Edition
2nd Revised edition
Language
English
Place of publication
Birmingham
United Kingdom
Edition type
Revised edition
Dimensions
Height: 235 mm
Width: 191 mm
ISBN-13
978-1-78588-904-2 (9781785889042)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
AEndrew Rininsland is a developer and journalist who has spent much of the last half-decade building interactive content for newspapers such as The Times, Sunday Times, The Economist, and The Guardian. During his 3 years at The Times and Sunday Times, he worked on all kinds of editorial projects, ranging from obituaries of figures such as Nelson Mandela to high-profile data-driven investigations such as The Doping Scandal, the largest leak of sporting blood test data in history.
A prolific open source developer, AEndrew has released many kinds of projects, ranging from small utility libraries such as Doctop (which allow the creation of live updating datasets using Google Docs) to big charting tools such as AxisJS. He is also a co-maintainer of C3.js, a widely used abstraction of D3 that greatly speeds up the creation of several basic chart types, and GitHub.js, a library that makes it easy to interact with the GitHub API.
You can follow him on Twitter at @aendrew and on GitHub at github.com/aendrew. Swizec Teller author of Data Visualization with d3.js, is a geek with a hat. Founding his first startup at 21, he is now looking for the next big idea as a full-stack web generalist focusing on freelancing for early-stage startup companies.
When he isn't coding, he's usually blogging, writing books, or giving talks at various non-conference events in Slovenia and nearby countries. He is still looking for a chance to speak at a big international conference.
In November 2012, he started writing Why Programmers Work At Night, and set out on a quest to improve the lives of developers everywhere.
A prolific open source developer, AEndrew has released many kinds of projects, ranging from small utility libraries such as Doctop (which allow the creation of live updating datasets using Google Docs) to big charting tools such as AxisJS. He is also a co-maintainer of C3.js, a widely used abstraction of D3 that greatly speeds up the creation of several basic chart types, and GitHub.js, a library that makes it easy to interact with the GitHub API.
You can follow him on Twitter at @aendrew and on GitHub at github.com/aendrew. Swizec Teller author of Data Visualization with d3.js, is a geek with a hat. Founding his first startup at 21, he is now looking for the next big idea as a full-stack web generalist focusing on freelancing for early-stage startup companies.
When he isn't coding, he's usually blogging, writing books, or giving talks at various non-conference events in Slovenia and nearby countries. He is still looking for a chance to speak at a big international conference.
In November 2012, he started writing Why Programmers Work At Night, and set out on a quest to improve the lives of developers everywhere.