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Practical Data Analysis

You're reading from  Practical Data Analysis

Product type Book
Published in Oct 2013
Publisher Packt
ISBN-13 9781783280995
Pages 360 pages
Edition 1st Edition
Languages
Author (1):
Hector Cuesta Hector Cuesta
Profile icon Hector Cuesta
Toc

Table of Contents (24) Chapters close

Practical Data Analysis
Credits
Foreword
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started 2. Working with Data 3. Data Visualization 4. Text Classification 5. Similarity-based Image Retrieval 6. Simulation of Stock Prices 7. Predicting Gold Prices 8. Working with Support Vector Machines 9. Modeling Infectious Disease with Cellular Automata 10. Working with Social Graphs 11. Sentiment Analysis of Twitter Data 12. Data Processing and Aggregation with MongoDB 13. Working with MapReduce 14. Online Data Analysis with IPython and Wakari Setting Up the Infrastructure Index

Interaction and animation


D3 provides a good support for interactions, transitions, and animations. In this example, we will focus on the basic way to add transitions and interactions to our visualization. This time we will use a very similar code to that of the bar chart example, in order to demonstrate how easy it is to add interactivity in visualization.

We need to define the font family and size for the labels and the style for the axis line.

<style>
body {
  font: 14px arial;
}
.axis path,
.axis line {
  fill: none;
  stroke: #000;
}
.bar {
  fill: gray;
}
</style>

Inside the body tag we need to refer to the library,

<body>
<script src="http://d3js.org/d3.v3.min.js"></script>
var formato = d3.format("0.0");

Now, we define the X and Y axis with a width of 1200 pixels and height 550 pixels.

var x = d3.scale.ordinal()
    .rangeRoundBands([0, 1200], .1);

var y = d3.scale.linear()
    .range([550, 0]);

var xAxis = d3.svg.axis()
    .scale(x)
    .orient("bottom...
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