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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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Shape tweens


Shape tweens are the holy grail of transitions. I want you to remember the D3 Show Reel available at http://bl.ocks.org/mbostock/1256572 in 2011 by Mike Bostock—the author of D3. Here, he shows some awesome shape tween capabilities of D3 by transforming a chart into different representations.

Although a shape tween looks very simple and intuitive, they are almost never easy to create. Why is this so? Because the tools such as SMIL and D3 use simple string interpolation function, which extracts the numeric values of a string and interpolates them to the end state. And as soon the end state string looks different form the starting state—it could have a different amount of points, control points, or path commands—the resulting transition won't look good/smooth. Coming back to the D3 Show Reel, most of the transitions that we see are shape tweens of similar shapes—shapes with the same amount of control points.

This is true in particular for tweening between arbitrary shapes and writing...

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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