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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.
Read more about Christoph Körner

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All about axes


Until now, we just scaled our dataset without drawing a single shape on the screen. For the next step, I want to introduce d3.svg.axis(), a built-in function to draw axes and labels. This function makes it very easy and comfortable to add an axis to a chart, as shown in the following code:

var axis = d3.svg.axis();

First, we create a new axis object with d3.svg.axis(), which we can then configure by calling different methods on it. I will now discuss the most important of these methods:

  • axis.scale([scale]): This adds scaling to an axis as follows:

    var scale = d3.scale.linear()
      .domain([0, 10])
      .range([0, 100]);
    
    var axis = d3.svg.axis()
      .scale(scale);
  • axis.orient([orientation]): This specifies an orientation of the ticks values relative to the axis. The orientation can be top, bottom, left, or right:

    var axis = d3.svg.axis()
      .orient('bottom');
  • axis.ticks([arguments…]): This specifies the tick number or interval relative to the given scale, as shown in the following code...

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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