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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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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

Summary

In this chapter, you learned how to select DOM elements and do data-driven transformations using data joins and dynamic properties. We also saw how to use shape and axis generator functions to quickly create common shapes such as lines or areas.

In the end of this chapter, we built our first simple (almost) responsive bar chart. The bar chart already adapts to the width of the browser window on the page load, but it doesn't get recomputed when we change the browser dimensions.

In the next chapter, we will take a look at loading, filtering, and grouping data. This is very important because almost always we will have to load remote data in a certain format (such as CSV) and then process, filter, or group it afterwards in order to visualize it.

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