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Data Visualization with D3 4.x Cookbook

You're reading from   Data Visualization with D3 4.x Cookbook Visualization Strategies for Tackling Dirty Data

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786468253
Length 380 pages
Edition 2nd Edition
Languages
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Author (1):
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Nick Zhu Nick Zhu
Author Profile Icon Nick Zhu
Nick Zhu
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Table of Contents (15) Chapters Close

Preface 1. Getting Started with D3.js FREE CHAPTER 2. Be Selective 3. Dealing with Data 4. Tipping the Scales 5. Playing with Axes 6. Transition with Style 7. Getting into Shape 8. Chart Them Up 9. Lay Them Out 10. Interacting with Your Visualization 11. Using Force 12. Knowing Your Map 13. Test Drive Your Visualization Appendix. Building Interactive Analytics in Minutes

Projecting the US map

In this recipe we are going to start with projecting the US map using D3 GEO API, while also getting familiar with a few different JSON data formats for describing geographic data. Let's first take a look at how geographic data are typically presented and consumed in JavaScript.

GeoJSON

The first standard JavaScript geographic data format we are going to touch upon is called GeoJSON. GeoJSON format was originally written and maintained by an Internet working group of developers. Later it was standardized by the Internet Engineering Task Force (IETF) with RFC 7946 and published in August 2016.

GeoJSON is a format for encoding a variety of geographic data structures. GeoJSON supports the following geometry types: Point, LineString, Polygon, MultiPoint, MultiLineString, and MultiPolygon. Geometric objects with additional properties are Feature objects. Sets of features are contained by FeatureCollection objects.

GeoJSON format is a...

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