Book Image

Data Smart

By : John W. Foreman
Book Image

Data Smart

By: John W. Foreman

Overview of this book

Data Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope. Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, math and the magic, behind big data.
Table of Contents (18 chapters)
Free Chapter
1
Cover
2
Credits
3
About the Author
4
About the Technical Editors
5
Acknowledgments
18
End User License Agreement

Brief Introduction to Gephi

Let's go ahead and get Gephi running so you can import and visualize the Friends dataset. Then you'll know your way around later when things get real all up in here.

Gephi is an open source network visualization tool written in Java, and it's the main culprit behind many of the network visualization graphics you see in the media today. It's easy to produce striking pictures, and people seem to have taken to it for graphing tweets like bunnies to carrots.

The reason why I've waived my usual hesitancy to stay in Excel is that Gephi fills in the network visualization gap in Excel, it's free, and it works on Windows, Mac OS, and Linux, so no matter what computer you're using, you can follow along.

You don't have to do these visualization steps. If you just want to follow along in the figures feel free, but I recommend getting your hands dirty. It's fun. Keep in mind, though, that this book is not about Gephi. If you...