Book Image

Learning Responsive Data Visualization

By : Erik Hanchett, Christoph Körner
Book Image

Learning Responsive Data Visualization

By: Erik Hanchett, Christoph Körner

Overview of this book

Using D3.js and Responsive Design principles, you will not just be able to implement visualizations that look and feel awesome across all devices and screen resolutions, but you will also boost your productivity and reduce development time by making use of Bootstrap—the most popular framework for developing responsive web applications. This book teaches the basics of scalable vector graphics (SVG), D3.js, and Bootstrap while focusing on Responsive Design as well as mobile-first visualizations; the reader will start by discovering Bootstrap and how it can be used for creating responsive applications, and then implement a basic bar chart in D3.js. You will learn about loading, parsing, and filtering data in JavaScript and then dive into creating a responsive visualization by using Media Queries, responsive interactions for Mobile and Desktop devices, and transitions to bring the visualization to life. In the following chapters, we build a fully responsive interactive map to display geographic data using GeoJSON and set up integration testing with Protractor to test the application across real devices using a mobile API gateway such as AWS Device Farm. You will finish the journey by discovering the caveats of mobile-first applications and learn how to master cross-browser complications.

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Learning Responsive Data Visualization
Erik Hanchett | Christoph Körner
Mar, 2016 | 258 pages
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Table of Contents (16 chapters)
Learning Responsive Data Visualization
Learning Responsive Data Visualization
Credits
Credits
About the Author
About the Author
About the Reviewer
About the Reviewer
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Getting Started with Responsive Design, Bootstrap, and D3.js
Getting Started with Responsive Design, Bootstrap, and D3.js
What is Responsive Design?
Bootstrap – a popular mobile first CSS framework
Vector graphics in the browser with SVG
Creating graphics with D3.js
Summary
2
Creating a Bar Chart Using D3.js and SVG
Creating a Bar Chart Using D3.js and SVG
Getting started with D3.js
Drawing shapes with D3
Creating Scales and Axis
A simple bar chart
Summary
3
Loading, Filtering, and Grouping Data
Loading, Filtering, and Grouping Data
Preprocessing data
Loading and parsing remote data
Grouping data
Summary
4
Making the Chart Responsive Using Bootstrap and Media Queries
Making the Chart Responsive Using Bootstrap and Media Queries
Units and lengths in the browser
Responsive charts
Using Bootstrap's Media Queries
Summary
5
Building Responsive Interactions
Building Responsive Interactions
Using an event system
Panning and zooming
Summary
6
Designing Transitions and Animations
Designing Transitions and Animations
Is there a web standard for animations?
Creating animations with JavaScript
Transitions
Shape tweens
Summary
7
Creating Maps and Cartographic Visualizations Using GeoJSON
Creating Maps and Cartographic Visualizations Using GeoJSON
Overview of cartographic visualizations
Data representation for topology and geographic features
Maps and projections
Helpful tools for creating maps in D3
Types of geographic visualization
Summary
8
Testing Responsive Visualizations
Testing Responsive Visualizations
A guide on testing visualizations
Manual testing and debugging
Automated testing and Continuous Integration
A testing strategy for visualizations
Summary
9
Solving Cross-Browser Issues
Solving Cross-Browser Issues
A solution to cross-browser compatibility issues
Cross-browser Media Queries
Cross-browser SVG features
Handle touch and mouse events with ease
Summary
Index
Index

Responsive charts

Now that we know some basics about absolute and relative units, we can start to define, design, and implement responsive charts. A responsive chart is a chart that automatically adapts its look and feel to the resolution of the user's device; thus, responsive charts need to adapt the following properties:

  • The dimension (width and height)

  • The resolution of data points

  • Interactions and interaction areas

Adapting to the dimensions is the most obvious thing. The chart should always scale and adapt to the width of its parent element. In the previous section, you learned about relative and absolute lengths, so one may think that simply using relative values for the chart's dimensions would be enough. However, there are multiple ways with advantages and disadvantages to achieve this; in this section, we will discuss three of them.

Adapting to the resolution of the data is a little less obvious and often a neglected thing. The resolution of data points (the amount of data point per...

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