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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

View More author details

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

Getting started with IPython Notebook

The IPython Notebook (NB) is a web interface for our python code. NB is based in a JSON format, sharable and portable in .pynb file format.

To start with a blank notebook, we will click on the New Notebook button. In the following screenshot, we can see how to change the name by clicking on the Untitled0 label, and then we will rename the notebook:

The NB will have access to all resources (text files, images, and so on) in the path. We can upload the text files, images, and other content to the Wakari platform by clicking on the Upload icon (see the arrow in the following screenshot), then we will select the files, and finally we will click on the Upload Files button as shown in the following screenshot:

Finally, we will click on the play icon (see the arrow in the following screenshot) to run the code of our NB. We will get a numbered output for each of our input codes as visible in the following screenshot. We may code several lines in the same input...