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Data Visualization with D3 and AngularJS

You're reading from Data Visualization with D3 and AngularJS Build dynamic and interactive visualizations from real-world data with D3 on AngularJS

Product type Paperback

Published in Apr 2015

Publisher

ISBN-13 9781784398484

Length 278 pages

Edition 1st Edition

Languages

JavaScript

Tools

D3

Concepts

Data Visualization

Authors (2):

Erik Hanchett

Christoph Körner

View More author details

Table of Contents (11) Chapters

Preface

1. The Magic of SVG, D3.js, and AngularJS FREE CHAPTER

2. Getting Started with D3.js

3. Manipulating Data

4. Building a Chart Directive

5. Loading and Parsing Data

6. Drawing Curves and Shapes

7. Controlling Transitions and Animations

8. Bringing the Chart to Life with Interactions

9. Building a Real-time Visualization to Monitor Server Logs

Index

Who this book is for

Data Visualization with D3 and AngularJS is intended for web developers with experience in AngularJS who want to implement fully customizable interactive vector graphics for all platforms. Whether you already know a bit about SVG and vector graphics in the browser or have never used any visualization library in JavaScript before, you will be able to master the data-driven techniques of D3. In either case, this book will get you up and running quickly and also challenges you if you have already worked with D3.

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Authors (2)

Hanchett

Hanchett

Erik Hanchett is a software developer, blogger, and perpetual student who has been writing code for over 10 years. He currently resides in Reno Nevada, with his wife and two kids. He blogs about software development at ProgramWithErik.com. I would like to thank my wife Susan for helping me stay motivated. My friend F.B. Woods for all his help on the English language and Dr. Bret Simmons for teaching me the value of a personal brand. I would also like to thank all my friends and family that encouraged me along the way.

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Körner

Körner

Christoph Körner previously worked as a cloud solution architect for Microsoft, specializing in Azure-based big data and machine learning solutions, where he was responsible for designing end-to-end machine learning and data science platforms. He currently works for a large cloud provider on highly scalable distributed in-memory database services. Christoph has authored four books: Deep Learning in the Browser for Bleeding Edge Press, as well as Mastering Azure Machine Learning (first edition), Learning Responsive Data Visualization, and Data Visualization with D3 and AngularJS for Packt Publishing.

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