Visualizing Graph Data

Corey L Lanum

ISBN 10: 1617293075 / ISBN 13: 9781617293078

Published by Manning Publications, US, 2017

About this Item

One of the most powerful ways to understand data is to recognize the ways in which each datum-person, product, etc-connects to another. Visualizing these graphs makes it possible to literally see the connections. The graph model consists of data elements, called nodes, and edges, which are the relationships between these nodes. Graphs make the relationships between the data elements a core part of the data structure, which means you can better comprehend the meaning of your data. And visual data is easier for everyone to understand. Visualizing Graph Data teaches readers not only how to build graph data structures, but also how to create their own dynamic, interactive visualizations using a variety of tools. This book is loaded with fascinating examples and case studies to show the real-world value of graph visualizations. It begins by teaching fundamental graph concepts and techniques used to visualize graph data. Next, readers drill down to learn how to create their own useful visualizations, as well as additional tools. Readers also learn how to model data, create the best graphs for their particular audience, handle big data, and depict temporal and spatial data. By the end of this book, readers know to ask the right questions of data to create powerful visualizations.   Key Features:. Real-world case studies . Teaches techniques for creating effective visualizations . Shows fundamental visualization concepts . Includes tutorials using the best visualization tools   AUDIENCE A basic understanding of RDBMS systems is assumed. No previous knowledge of graph databases required.   ABOUT THE TECHNOLOGY The graph way of thinking about data is becoming more and more popular as people value the relationships between bits of data as much as the data themselves. Key to understanding the complex structure of connected data is being able to visualize those connections.

Seller Inventory # LU-9781617293078

Bibliographic Details

• Title: Visualizing Graph Data
• Publisher: Manning Publications, US
• Publication Date: 2017
• Language: English
• ISBN 10: 1617293075
• ISBN 13: 9781617293078
• Binding: Paperback
• Condition: New
• Weight: 380 grams

About this title

Synopsis

Summary

Visualizing Graph Data teaches you not only how to build graph data structures, but also how to create your own dynamic and interactive visualizations using a variety of tools. This book is loaded with fascinating examples and case studies to show you the real-world value of graph visualizations.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Assume you are doing a great job collecting data about your customers and products. Are you able to turn your rich data into important insight? Complex relationships in large data sets can be difficult to recognize. Visualizing these connections as graphs makes it possible to see the patterns, so you can find meaning in an otherwise over-whelming sea of facts.

About the Book

Visualizing Graph Data teaches you how to understand graph data, build graph data structures, and create meaningful visualizations. This engaging book gently introduces graph data visualization through fascinating examples and compelling case studies. You'll discover simple, but effective, techniques to model your data, handle big data, and depict temporal and spatial data. By the end, you'll have a conceptual foundation as well as the practical skills to explore your own data with confidence.

What's Inside

• Techniques for creating effective visualizations
• Examples using the Gephi and KeyLines visualization packages
• Real-world case studies

About the Reader

No prior experience with graph data is required.

About the Author

Corey Lanum has decades of experience building visualization and analysis applications for companies and government agencies around the globe.

Table of Contents

PART 1 - GRAPH VISUALIZATION BASICS

1. Getting to know graph visualization
2. Case studies
3. An introduction to Gephi and KeyLines

PART 2 VISUALIZE YOUR OWN DATA

4. Data modeling
5. How to build graph visualizations
6. Creating interactive visualizations
7. How to organize a chart
8. Big data: using graphs when there's too much data
9. Dynamic graphs: how to show data over time
10. Graphs on maps: the where of graph visualization

About the Author

Corey Lanum has decades of experience building visualization and analysis applications for companies and government agencies.