Learning d3.js Data Visualization - Second Edition

Packt Publishing Limited
  • 1. Auflage
  • |
  • erschienen am 28. April 2016
  • |
  • 272 Seiten
E-Book | ePUB mit Adobe DRM | Systemvoraussetzungen
978-1-78588-279-1 (ISBN)
Inject new life into your data by creating compelling visualizations with d3.jsAbout This BookUnderstand how to best represent your data by developing the right kind of visualizationHarness the power of D3 by building interactive and real-time data-driven web visualizationsThis book will provide a strong foundation in designing compelling web visualizations with D3.jsWho This Book Is ForThis 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 LearnGain a solid understanding of the common D3 development idiomsBe able to input data, transform it, and output it as a visualizationAdd simple effects and user interactions to a visualizationFind out how to write basic D3 code for server using Node.jsAutomate testing visualizations using MochaAchieve fluency in ES2015, the most modern version of JavaScriptIn DetailD3 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 approachThis book has comprehensive explanation on how to leverage the power of D3.js to create powerful and creative visualizations through step by step instruction
  • Englisch
  • Birmingham
  • |
  • Großbritannien
  • Überarbeitete Ausgabe
978-1-78588-279-1 (9781785882791)
1785882791 (1785882791)
weitere Ausgaben werden ermittelt
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.
  • Cover
  • Copyright
  • Credits
  • About the Authors
  • About the Reviewer
  • www.PacktPub.com
  • Table of Contents
  • Preface
  • Chapter 1: Getting Started with D3, ES2016, and Node.js
  • What is D3.js?
  • What's ES2016?
  • Getting started with Node and Git on the command line
  • A quick Chrome Developer Tools primer
  • The obligatory bar chart example
  • Summary
  • Chapter 2: A Primer on DOM, SVG, and CSS
  • DOM
  • Manipulating the DOM with D3
  • Selections
  • Let's make a table!
  • What exactly did we do here?
  • Selections example
  • Manipulating content
  • Joining data to selections
  • An HTML visualization example
  • Scalable Vector Graphics
  • Drawing with SVG
  • Manually adding elements and shapes
  • Text
  • Shapes
  • Transformations
  • Using paths
  • Line
  • Area
  • Arc
  • Symbol
  • Chord
  • Diagonal
  • Axes
  • CSS
  • Colors
  • Summary
  • Chapter 3: Making Data Useful
  • Thinking about data functionally
  • Built-in array functions
  • Data functions of D3
  • Loading data
  • The core
  • Convenience functions
  • Scales
  • Ordinal scales
  • Quantitative scales
  • Continuous range scales
  • Discrete range scales
  • Time
  • Formatting
  • Time arithmetic
  • Geography
  • Getting geodata
  • Drawing geographically
  • Using geography as a base
  • Summary
  • Chapter 4: Defining the User Experience - Animation and Interaction
  • Animation
  • Animation with transitions
  • Interpolators
  • Easing
  • Timers
  • Animation with CSS transitions
  • Interacting with the user
  • Basic interaction
  • Behaviors
  • Drag
  • Zoom
  • Brushes
  • Summary
  • Chapter 5: Layouts - D3's Black Magic
  • What are layouts and why should you care?
  • Built-in layouts
  • The dataset
  • Normal layouts
  • Using the histogram layout
  • Baking a fresh 'n' delicious pie chart
  • Labeling your pie chart
  • Showing popularity through time with stack
  • Adding tooltips to our streamgraph
  • Highlighting connections with chord
  • Drawing with force
  • Hierarchical layouts
  • Drawing a tree
  • Showing clusters
  • Partitioning a pie
  • Packing it in
  • Subdividing with treemap
  • Summary
  • Chapter 6: D3 on the Server with Node.js
  • Readying the environment
  • All aboard the Express train to Server Town!
  • Proximity detection and the Voronoi geom
  • Rendering in Canvas on the server
  • Deploying to Heroku
  • Summary
  • Chapter 7: Designing Good Data Visualizations
  • Clarity, honesty, and sense of purpose
  • Helping your audience understand scale
  • Using color effectively
  • Understanding your audience (or "trying not to forget about mobile")
  • Some principles for designing for mobile and desktop
  • Columns are for desktops, rows are for mobile
  • Be sparing with animations on mobile
  • Realize similar UI elements react differently between platforms
  • Avoid "mystery meat" navigation
  • Be wary of the scroll
  • Summary
  • Chapter 8: Having Confidence in Your Visualizations
  • Linting all the things
  • Static type checking with TypeScript and Flow
  • The new kid on the block - Facebook Flow
  • TypeScript - the current heavyweight champion
  • Behavior-driven development with Karma and Mocha Chai
  • Setting up your project with Mocha and Karma
  • Testing behaviors first - BDD with Mocha
  • Summary
  • Index

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