About this ebook
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 LearnHarness the power of D3 by building interactive and real-time data-driven web visualizationsFind out how to use JavaScript to create compelling visualizations of social dataIdentify the purpose of your visualization and your project's parameters to determine overriding design considerations across your project's executionApply critical thinking to visualization design and get intimate with your dataset to identify its potential visual characteristicsExplore the various features of HTML5 to design creative visualizationsDiscover what data is available on Stack Overflow, Facebook, Twitter, and Google+Gain a solid understanding of the common D3 development idiomsFind out how to write basic D3 code for server using Node.jsIn DetailDo 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.
After getting familiar with key concepts of data visualization, it's time to incorporate it with various technologies. In the second module, Social Data Visualization with HTML5 and JavaScript, it teaches you how to leverage HTML5 techniques through JavaScript to build visualizations. It also clears up how the often complicated OAuth protocol works to help you unlock a universe of social media data from sites such as Twitter, Facebook, and Google+.
Once you are familiar with the concepts of incorporating data visualization with HTML5 and JavaScript, 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. This module provides a strong foundation in designing compelling web visualizations with D3.js.
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 KirkSocial Data Visualization with HTML5 and JavaScript by Simon TimmsLearning d3.js Data Visualization, Second Edition by Ǯdrew Rininsland and Swizec TellerStyle and approachThis 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 the author
Ǯdrew 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, Ǯdrew 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.
