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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

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Product type Paperback
Published in Mar 2016
Publisher
ISBN-13 9781785883781
Length 258 pages
Edition 1st Edition
Languages
Tools
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Authors (2):
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Christoph Körner Christoph Körner
Author Profile Icon Christoph Körner
Christoph Körner
Erik Hanchett Erik Hanchett
Author Profile Icon Erik Hanchett
Erik Hanchett
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Toc

Table of Contents (11) Chapters Close

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

Overview of cartographic visualizations


The goal is to display cartographic data on an interactive and responsive visualization using D3.js similar to the following example:

The Choropleth map of USA (source: http://bl.ocks.org/mbostock/4060606)

However, this is not a straightforward task such as drawing a simple bar chart. There are many things that need to be considered when building a cartographic visualization, and this section will introduce you to these different steps and techniques. Let's get started straightaway and look at all the different components from a bar chart and how they can be compared to a cartographic visualization. This will give us enough knowledge on how to tackle the problem.

A geographic coordinate system

When we draw a bar chart, we usually start by drawing a coordinate system—a Cartesian coordinate system to be precise—usually represented as axes. This coordinate system defines how we can find the desired coordinates to draw a bar; it shows us the x and y directions...

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