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Learning Responsive Data Visualization

You're reading from Learning Responsive Data Visualization Create stunning data visualizations that look awesome on every device and screen resolutions

Product type Paperback

Published in Mar 2016

Publisher

ISBN-13 9781785883781

Length 258 pages

Edition 1st Edition

Languages

JavaScript

Tools

D3

Concepts

Data Visualization

Authors (2):

Christoph Körner

Erik Hanchett

View More author details

Table of Contents (11) Chapters

Preface

1. Getting Started with Responsive Design, Bootstrap, and D3.js FREE CHAPTER

2. Creating a Bar Chart Using D3.js and SVG

3. Loading, Filtering, and Grouping Data

4. Making the Chart Responsive Using Bootstrap and Media Queries

5. Building Responsive Interactions

6. Designing Transitions and Animations

7. Creating Maps and Cartographic Visualizations Using GeoJSON

8. Testing Responsive Visualizations

9. Solving Cross-Browser Issues

Index

Who this book is for

This book is intended for data scientists, developers, and motivated beginners to implement custom responsive data visualizations using vector graphics. Whether you already know a bit about SVG and vector graphics in a browser or you have never used any visualization library before, you will be able to master the data-driven techniques of D3. In either case, this book will get you up and running as quickly as possible 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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