Visualizing Graph Data
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$44.99
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Product Details
Author:
Corey Lanum
Format:
Paperback
Pages:
232
Publisher:
Manning (December 15, 2016)
Language:
English
ISBN-13:
9781617293078
ISBN-10:
1617293075
Weight:
15.68oz
Dimensions:
7.38" x 9.25" x 0.5"
File:
Eloquence-SimonSchuster_04022026_P9912986_onix30_Complete-20260402.xml
Folder:
Eloquence
List Price:
$44.99
Case Pack:
18
As low as:
$40.49
Publisher Identifier:
P-SS
Discount Code:
G
Pub Discount:
37
Imprint:
Manning
Overview
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
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
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
- Getting to know graph visualization
- Case studies
- An introduction to Gephi and KeyLines
- 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
