Book Image

Practical Data Analysis - Second Edition

By : Hector Cuesta, Dr. Sampath Kumar
Book Image

Practical Data Analysis - Second Edition

By: Hector Cuesta, Dr. Sampath Kumar

Overview of this book

Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you’ll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark.
Table of Contents (21 chapters)
Practical Data Analysis - Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

Graph visualization with D3.js


D3.js provides us with the d3.layout.force() function, which uses the Force Atlas layout algorithm and helps us to visualize our graph. See Chapter 3, Getting to Grips with Visualization, for instructions of how to create D3.js visualizations.

First, we need to define the CSS style for the nodes, links, and node labels:

<style> 
 
.link { 
  fill: none; 
  stroke: #666; 
  stroke-width: 1.5px; 
} 
 
.node circle { 
  fill: steelblue; 
  stroke: #fff; 
  stroke-width: 1.5px; 
} 
 
.node text { 
  pointer-events: none; 
  font: 10px sans-serif; 
} 
</style> 

Then, we need to refer to the d3.js library:

<script src="http://d3js.org/d3.v3.min.js"></script> 

Then, we need to define the width and height for the svg container and include it in the body tag:

var width = 1100, 
    height = 800 
 
var svg = d3.select("body").append(...