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You're reading from Practical Data Analysis For small businesses, analyzing the information contained in their data using open source technology could be game-changing. All you need is some basic programming and mathematical skills to do just that.

Product type Paperback

Published in Oct 2013

Publisher Packt

ISBN-13 9781783280995

Length 360 pages

Edition 1st Edition

Languages

Python

Tools

NLTK

Concepts

Data Analysis

Author (1):

Hector Cuesta

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Table of Contents (24) Chapters

Practical Data Analysis

Credits

Foreword

About the Author

Acknowledgments

About the Reviewers

www.PacktPub.com

Preface

1. Getting Started FREE CHAPTER

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

Data-Driven Documents (D3)

D3 is a project featured by the Stanford Visualization Group developed by Mike Bostock.

D3 provides us with web-based visualization, which is an excellent way to deploy information and help us to see things such as proportions, relationships, correlations, and patterns, and discover things previously unknown. Since web browsers provide us with a very flexible and interactive interface in practically any device such as PC, tablet, and smart phone, D3 is an amazing tool for visualization based on data using HTML, JavaScript, SVG, and CSS.

In Chapter 1, Getting Started, we saw the importance of data visualization and in this chapter, we will present examples in order to understand the use of D3.js. In the following screenshot, we can see the basic structure of an HTML document. D3 is going to be included in a basic script tag or into a JavaScript file (.js):