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You're reading from  Learning Responsive Data Visualization

Product typeBook
Published inMar 2016
Reading LevelIntermediate
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ISBN-139781785883781
Edition1st Edition
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Authors (2):
Erik Hanchett
Erik Hanchett
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Erik 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.
Read more about Erik Hanchett

Christoph Körner
Christoph Körner
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Christoph 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.
Read more about Christoph Körner

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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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Learning Responsive Data Visualization
Published in: Mar 2016Publisher: ISBN-13: 9781785883781

Authors (2)

author image
Erik 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.
Read more about Erik Hanchett

author image
Christoph 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.
Read more about Christoph Körner