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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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Loading and parsing remote data


In this section, we want to visualize real data rather as in sample dataset; hence, we need to understand how to load data from remote locations. In JavaScript, you can use the native XMLHttpRequest (XHR) object to fetch data within your application. D3 implements not only a wrapper for the native XHR call, but it also implements wrappers for loading different data types and parsing them automatically.

Here is a list of some high-level wrappers in D3:

  • d3.text(url[, mimeType][, callback]): This loads a plain text file with a mimeType from an URL; the data is handed over as a string to the callback where the parsing must be done manually

  • d3.json(url[, callback]): This loads and parses a JSON file from an URL; the data is passed as an object in the callback

  • d3.xml(url[, mimeType][, callback]): Loads and parses an XML file from an URL, the data is passed as an object in the callback

  • d3.html(url[, callback]): This loads and parses an HTML file from an URL; the...

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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