Paperback. One of the most powerful ways to understand data is to recognize theways in which each datumperson, product, etcconnects to another.Visualizing these graphs makes it possible to literally see theconnections. The graph model consists of data elements, called nodes,and edges, which are the relationships between these nodes. Graphsmake the relationships between the data elements a core part of thedata structure, which means you can better comprehend the meaning ofyour data. And visual data is easier for everyone to understand.Visualizing Graph Data teaches readers not only how to build graphdata structures, but also how to create their own dynamic, interactivevisualizations using a variety of tools. This book is loaded withfascinating examples and case studies to show the real-world value ofgraph visualizations. It begins by teaching fundamental graph conceptsand techniques used to visualize graph data. Next, readers drill down tolearn how to create their own useful visualizations, as well asadditional tools. Readers also learn how to model data, create the bestgraphs for their particular audience, handle big data, and depicttemporal and spatial data. By the end of this book, readers know to askthe 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 AUDIENCEA basic understanding of RDBMS systems is assumed. No previousknowledge of graph databases required. ABOUT THE TECHNOLOGYThe graph way of thinking about data is becoming more and more popularas people value the relationships between bits of data as much as the datathemselves. Key to understanding the complex structure of connected data isbeing able to visualize those connections. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Visualizing Graph Data (Paperback)
Publisher: Manning Publications, New York
Publication Date: 2017
Language: English
ISBN 10: 1617293075
ISBN 13: 9781617293078
Binding: Paperback
Condition: new

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

Getting to know graph visualization
Case studies
An introduction to Gephi and KeyLines

PART 2 VISUALIZE YOUR OWN DATA

Data modeling
How to build graph visualizations
Creating interactive visualizations
How to organize a chart
Big data: using graphs when there's too much data
Dynamic graphs: how to show data over time
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.

"About this title" may belong to another edition of this title.

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