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Data Visualization with D3 and AngularJS

You're reading from   Data Visualization with D3 and AngularJS Build dynamic and interactive visualizations from real-world data with D3 on AngularJS

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Product type Paperback
Published in Apr 2015
Publisher
ISBN-13 9781784398484
Length 278 pages
Edition 1st Edition
Languages
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Authors (2):
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Erik Hanchett Erik Hanchett
Author Profile Icon Erik Hanchett
Erik Hanchett
Christoph Körner Christoph Körner
Author Profile Icon Christoph Körner
Christoph Körner
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Toc

Table of Contents (11) Chapters Close

Preface 1. The Magic of SVG, D3.js, and AngularJS FREE CHAPTER 2. Getting Started with D3.js 3. Manipulating Data 4. Building a Chart Directive 5. Loading and Parsing Data 6. Drawing Curves and Shapes 7. Controlling Transitions and Animations 8. Bringing the Chart to Life with Interactions 9. Building a Real-time Visualization to Monitor Server Logs Index

Creating a simple scatter plot

In this chapter, we have so far gathered a lot of knowledge that we want to apply to a real-world application. Let me briefly summarize what you learned so far: creating a Selection of circles, binding an array of data to the Selection, creating new circles if there are new values in the array, and changing their attributes depending on the bound data. These are all the necessary prerequisites to create a first scatter chart. In the following figure, we can already see what we want to create:

Creating a simple scatter plot

Simple scatter chart

To go one step further, we want to add and delete data points to the chart to use and see the power of data joins. Let's start with a simple setup and create the parent container of the chart:

<svg width="800" height="500"></svg>
<script type="text/javascript">
// Our code goes here
</script>

Now, we need to create an array of data points that we want to draw. These points can differ in the coordinates...

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