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Big Data Visualization

Big Data Visualization

By : James D. Miller
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Big Data Visualization

Big Data Visualization

2 (1)
By: James D. Miller

Overview of this book

Gain valuable insight into big data analytics with this book. Covering the tools you need to analyse data, together with IBM certified expert James Miller?s insight, this book is the key to data visualization success. ? Learn the tools & techniques to process big data for efficient data visualization ? Packed with insightful real-world use cases ? Addresses the difficulties faced by professionals in the field of big data analytics
Table of Contents (9 chapters)
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About D3


D3 (or D3.js) is actually an open source JavaScript library (based upon its predecessor, the Protovis framework), designed with the intention of visualizing data using todays web standards.

D3 helps put life into your data utilizing Scalable Vector Graphics (SVG), Canvas, and standard HTML.

D3 combines powerful visualization and interaction techniques with a data-driven approach to DOM manipulation, giving you the full capabilities of modern browsers and the freedom to design the right visual interface for your data.

In contrast to many other libraries, D3.js allows inordinate control over the visualization of your data. Its development was noted in 2011, as version 2.0.0 was released in August 2011.

D3 is embedded within an HTML webpage, and uses prebuilt JavaScript functions to select elements, create SVG objects, style them, or add transitions, dynamic effects, and so on.

Detailed information, including the D3.js libraries can be accessed at https://D3js.org.

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