Data Visualization: Representing Information on Modern Web
Published on 6. January 2016
Book
Paperback/Softback
531 pages
978-1-78712-976-4 (ISBN)
Description
Unleash the power of data by creating interactive, engaging, and compelling visualizations for the web
About This Book
* Get a portable, versatile, and flexible data visualization design approach that will help you navigate the complex path towards success
* Get thorough explanation of the many visual variables and visualization taxonomy to provide you with a menu of creative options
* A comprehensive and contemporary introduction to data-driven visualization design and the most effective approaches to designing impact-maximizing and cognition-amplifying visualizations
Who This Book Is For
This course is for developers who are excited about data and who want to share that excitement with others and it will be handy for the web developers or data scientists who want to create interactive visualizations for the web.
Prior knowledge of developing web applications is required. You should have a working knowledge of both JavaScript and HTML.
What You Will Learn
* Harness the power of D3 by building interactive and real-time data-driven web visualizations
* Find out how to use JavaScript to create compelling visualizations of social data
* Identify the purpose of your visualization and your project's parameters to determine overriding design considerations across your project's execution
* Apply critical thinking to visualization design and get intimate with your dataset to identify its potential visual characteristics
* Explore the various features of HTML5 to design creative visualizations
* Discover what data is available on Stack Overflow, Facebook, Twitter, and Google+
* Gain a solid understanding of the common D3 development idioms
* Find out how to write basic D3 code for server using Node.js
In Detail
Do you want to create more attractive charts? Or do you have huge data sets and need to unearth the key insights in a visual manner? Data visualization is the representation and presentation of data, using proven design techniques to bring alive the patterns, stories, and key insights that are locked away.
This learning path is divided into three modules. The first module will equip you with the key techniques required to overcome contemporary data visualization challenges.
In the second module, Social Data Visualization with HTML5 and JavaScript, it teaches you how to leverage HTML5 techniques through JavaScript to build visualizations.
In third module, Learning d3.js Data Visualization, will lead you to D3, which has emerged as one of the leading platforms to develop beautiful, interactive visualizations over the web.
By the end of this course, you will have unlocked the mystery behind successful data visualizations.
This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:
? Data Visualization: a successful design process by Andy Kirk
? Social Data Visualization with HTML5 and JavaScript by Simon Timms
? Learning d3.js Data Visualization, Second Edition by Andrew Rininsland and Swizec Teller
Style and approach
This course includes all the resources that will help you jump into creating interactive and engaging visualizations for the web. Through this comprehensive course, you'll learn how to create engaging visualizations for the web to represent your data from start to finish!
About This Book
* Get a portable, versatile, and flexible data visualization design approach that will help you navigate the complex path towards success
* Get thorough explanation of the many visual variables and visualization taxonomy to provide you with a menu of creative options
* A comprehensive and contemporary introduction to data-driven visualization design and the most effective approaches to designing impact-maximizing and cognition-amplifying visualizations
Who This Book Is For
This course is for developers who are excited about data and who want to share that excitement with others and it will be handy for the web developers or data scientists who want to create interactive visualizations for the web.
Prior knowledge of developing web applications is required. You should have a working knowledge of both JavaScript and HTML.
What You Will Learn
* Harness the power of D3 by building interactive and real-time data-driven web visualizations
* Find out how to use JavaScript to create compelling visualizations of social data
* Identify the purpose of your visualization and your project's parameters to determine overriding design considerations across your project's execution
* Apply critical thinking to visualization design and get intimate with your dataset to identify its potential visual characteristics
* Explore the various features of HTML5 to design creative visualizations
* Discover what data is available on Stack Overflow, Facebook, Twitter, and Google+
* Gain a solid understanding of the common D3 development idioms
* Find out how to write basic D3 code for server using Node.js
In Detail
Do you want to create more attractive charts? Or do you have huge data sets and need to unearth the key insights in a visual manner? Data visualization is the representation and presentation of data, using proven design techniques to bring alive the patterns, stories, and key insights that are locked away.
This learning path is divided into three modules. The first module will equip you with the key techniques required to overcome contemporary data visualization challenges.
In the second module, Social Data Visualization with HTML5 and JavaScript, it teaches you how to leverage HTML5 techniques through JavaScript to build visualizations.
In third module, Learning d3.js Data Visualization, will lead you to D3, which has emerged as one of the leading platforms to develop beautiful, interactive visualizations over the web.
By the end of this course, you will have unlocked the mystery behind successful data visualizations.
This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:
? Data Visualization: a successful design process by Andy Kirk
? Social Data Visualization with HTML5 and JavaScript by Simon Timms
? Learning d3.js Data Visualization, Second Edition by Andrew Rininsland and Swizec Teller
Style and approach
This course includes all the resources that will help you jump into creating interactive and engaging visualizations for the web. Through this comprehensive course, you'll learn how to create engaging visualizations for the web to represent your data from start to finish!
More details
Persons
Andy Kirk is a freelance data visualization design consultant, training provider, and editor of the popular data visualization blog, visualisingdata.com. After graduating from Lancaster University with a B.Sc. (Hons) degree in Operational Research, he spent over a decade at a number of the UK's largest organizations in a variety of business analysis and information management roles.
Late 2006 provided Andy with a career-changing "eureka" moment through the serendipitous discovery of data visualization and he has passionately pursued this subject ever since, completing an M.A. (with Distinction) at the University of Leeds along the way.
In February 2010, he launched visualisingdata.com with a mission to provide readers with inspiring insights into the contemporary techniques, resources, applications, and best practices around this increasingly popular field. His design consultancy work and training courses extend this ambition, helping organizations of all shapes, sizes, and industries to enhance the analysis and communication of their data to maximize impact.
This book aims to pass on some of the expertise Andy has built up over these years to provide readers with an informative and helpful guide to succeeding in the challenging but exciting world of data visualization design. Simon Timms is a developer who works in the oil and gas industry in Calgary, Alberta. He has a BSc in Computing Science from the University of Alberta and a Masters from Athabasca University. He is interested in distributed systems, visualization, and the acquisition of ice-cream.
This is his first book, but he blogs frequently on diverse topics such as code contracts and cloud computing at blog.simontimms.com. He is involved in the local .NET and JavaScript community, and speaks frequently at conferences. Andrew 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, Andrew 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.
Late 2006 provided Andy with a career-changing "eureka" moment through the serendipitous discovery of data visualization and he has passionately pursued this subject ever since, completing an M.A. (with Distinction) at the University of Leeds along the way.
In February 2010, he launched visualisingdata.com with a mission to provide readers with inspiring insights into the contemporary techniques, resources, applications, and best practices around this increasingly popular field. His design consultancy work and training courses extend this ambition, helping organizations of all shapes, sizes, and industries to enhance the analysis and communication of their data to maximize impact.
This book aims to pass on some of the expertise Andy has built up over these years to provide readers with an informative and helpful guide to succeeding in the challenging but exciting world of data visualization design. Simon Timms is a developer who works in the oil and gas industry in Calgary, Alberta. He has a BSc in Computing Science from the University of Alberta and a Masters from Athabasca University. He is interested in distributed systems, visualization, and the acquisition of ice-cream.
This is his first book, but he blogs frequently on diverse topics such as code contracts and cloud computing at blog.simontimms.com. He is involved in the local .NET and JavaScript community, and speaks frequently at conferences. Andrew 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, Andrew 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.