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You're reading from  Data Visualization with D3 and AngularJS

Product typeBook
Published inApr 2015
Reading LevelIntermediate
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ISBN-139781784398484
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.
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Advanced filtering using brushes


In the previous section, we saw that D3.js can handle all the filtering action with solely modifying the domain and range attributes of the axis object. Filtering and selecting data is a common task in data visualization; therefore, D3.js implements a much more advanced filtering method called brushes.

A brush is a D3.js module initialized with an x and/or a y axis scale and automatically creates a draggable and resizeable box on top of a visualization container. While dragging and resizing this box, the brush automatically adapts the range and domain of the axis scales. A brush often looks similar to the following image:

Filtering time scale axis with a brush

This brush looks really cool as a filter; we also want to implement such a brush for the start and end date filter of the application. The goal is to build a very simple area chart in the navigation bar that shows the data of the first chart. This chart should serve as a graphical date filter, where we...

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Data Visualization with D3 and AngularJS
Published in: Apr 2015Publisher: ISBN-13: 9781784398484

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