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  • Format: PDF

Learn how to create beautiful, interactive, browser-based data visualizations with the D3 JavaScript library. This hands-on book shows you how to use a combination of JavaScript and SVG to build everything from simple bar charts to complex infographics. Youll learn how to use basic D3 tools by building visualizations based on real data from the New York Metropolitan Transit Authority.Using historical tables, geographical information, and other data, youll graph bus breakdowns and accidents and the percentage of subway trains running on time, among other examples. By the end of the book, youll…mehr

Produktbeschreibung
Learn how to create beautiful, interactive, browser-based data visualizations with the D3 JavaScript library. This hands-on book shows you how to use a combination of JavaScript and SVG to build everything from simple bar charts to complex infographics. Youll learn how to use basic D3 tools by building visualizations based on real data from the New York Metropolitan Transit Authority.Using historical tables, geographical information, and other data, youll graph bus breakdowns and accidents and the percentage of subway trains running on time, among other examples. By the end of the book, youll be prepared to build your own web-based data visualizations with D3.Join a dataset with elements of a webpage, and modify the elements based on the dataMap data values onto pixels and colors with D3s scale objectsApply axis and line generators to simplify aspects of building visualizationsCreate a simple UI that allows users to investigate and compare dataUse D3 transitions in your UI to animate important aspects of the dataGet an introduction to D3 layout tools for building more sophisticated visualizationsIf you can code and manipulate data, and know how to work with JavaScript and SVG, this book is for you.

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Autorenporträt
Mike Dewar is a data-scientist at Bitly, a New York tech company that makes long URLs shorter. He has a PhD in modelling dynamic systems from data from the University of Sheffield in the UK, and has worked as a Machine Learning post-doc in The University of Edinburgh and Columbia University. He has been drawing graphs regularly since he was in High School, and is starting to get the hang of it.