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Learning Responsive Data Visualization

You're reading from  Learning Responsive Data Visualization

Product type Book
Published in Mar 2016
Publisher
ISBN-13 9781785883781
Pages 258 pages
Edition 1st Edition
Languages
Authors (2):
Erik Hanchett Erik Hanchett
Profile icon Erik Hanchett
Christoph Körner Christoph Körner
Profile icon Christoph Körner
View More author details

Table of Contents (16) Chapters

Learning Responsive Data Visualization
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Getting Started with Responsive Design, Bootstrap, and D3.js Creating a Bar Chart Using D3.js and SVG Loading, Filtering, and Grouping Data Making the Chart Responsive Using Bootstrap and Media Queries Building Responsive Interactions Designing Transitions and Animations Creating Maps and Cartographic Visualizations Using GeoJSON Testing Responsive Visualizations Solving Cross-Browser Issues Index

Summary


In this chapter, you learned about data preprocessing in order to make it displayable for the visualization. We saw how to filter unexpected data, how to map data to a different representation, and how to aggregate data.

We took a look at loading data from remote resources and custom-parsing via Regular Expressions. We saw how to split a string into an array of elements that can then be used for further processing. In the end, you learned how to use D3 for grouping flat data into nested objects. This helped us to ultimately extract all the desired information out of the remote dataset.

In the next chapter, we will take the previously generated chart and make it responsive. You will learn what it exactly it means for a chart to be responsive and how we can use Bootstrap to achieve this.

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