D3.js 4.x Data Visualization - Third Edition by Swizec Teller

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Author: Swizec Teller
Category: Engineering & IT
ISBN: 9781787128156
File Size: 18.65 MB
Format: EPUB (e-book)
DRM: Applied (Requires eSentral Reader App)
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Synopsis

Key FeaturesBuild interactive and rich graphics and visualization using JavaScript`s powerful library D3.jsLearn D3 from the ground up, using the all-new version 4 of the libraryGain insight into producing high-quality, extensible charts and visualizations using best practices such as writing testable, extensible code and strong typingBook DescriptionWant to get started with impressive interactive visualizations and implement them in your daily tasks? This book offers the perfect solution-D3.js. It has emerged as the most popular tool for data visualization.This book will teach you how to implement the features of the latest version of D3 while writing JavaScript using the newest tools and techniqueYou will start by setting up the D3 environment and making your first basic bar chart. You will then build stunning SVG and Canvas-based data visualizations while writing testable, extensible code,as accurate and informative as it is visually stimulating. Step-by-step examples walk you through creating, integrating, and debugging different types of visualization and will have you building basic visualizations (such as bar, line, and scatter graphs) in no time.By the end of this book, you will have mastered the techniques necessary to successfully visualize data and will be ready to use D3 to transform any data into an engaging and sophisticated visualization.What you will learnMap data to visual elements using D3s scalesDraw SVG elements using D3s shape generatorsTransform data using D3s collection methodsUse D3s various layout patterns to quickly generate various common types of chartWrite modern JavaScript using ES2017 and BabelExplore the basics of unit testing D3 visualizations using Mocha and ChaiWrite and deploy a simple Node.js web service to render charts via HTML CanvasUnderstand what makes a good data visualization and how to use the tools at your disposal to create accurate chartsAbout the AuthorAndrew Rininsland is a developer and journalist who has spent much of the last half a decade building interactive content for newspapers such as The Financial Times, 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. He is currently a senior developer with the interactive graphics team at the Financial Times.Swizec Teller, author of Data Visualization with d3.js, is a geek with a hat. He founded his first start-up at the age of 21 years and is now looking for the next big idea as a full-stack Web generalist focusing on freelancing for early-stage start-up companies. When he isnt coding, hes 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.Table of ContentsGetting Started with D3, ES2017, and Node.jsA Primer on DOM, SVG, and CSSShape Primitives of D3Making Data UsefulDefining the User Experience - Animation and InteractionHierarchical Layouts of D3The Other LayoutsD3 on the Server with Canvas, Koa 2, and Node.jsHaving Confidence in Your VisualizationsDesigning Good Data Visualizations

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