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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
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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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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

Data representation for topology and geographic features


Geographical data is usually stored in databases and programs called Geographic Information Systems (GIS). These are usually tools to design, store, manipulate, analyze, and display the cartographic data. The following figure shows how the different aspects of the world can be abstracted as layers and managed in such a system:

A typical GIS abstraction

Most of these systems provide an interface to access or download these layers separately—that is, cartographic data, statistical data, or other geographic data—in a specified GIS format. There exists a variety of different GIS pixel- and vector-based formats; however, we will look into two JSON-based vector formats: GeoJSON and TopoJSON.

If you are looking for geographic data sets, I recommend you to visit http://www.data.gov/, http://geocommons.com/ as well as the extensive list on Robin Wilson's page at http://freegisdata.rtwilson.com/.

GeoJSON – a format for geographic features

JSON is...

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