Visualizing Graph Data
Language: English
Published by Manning Publications Jan 2017, 2017
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 39.80
Quantity: 6 available
Add to basketItem description from seller
Neuware - SummaryVisualizing 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.About the TechnologyAssume 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 BookVisualizing 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 studiesAbout the ReaderNo prior experience with graph data is required.About the AuthorCorey Lanum has decades of experience building visualization and analysis applications for companies and government agencies around the globe.Table of ContentsPART 1 - GRAPH VISUALIZATION BASICS- Getting to know graph visualization- Case studies- An introduction to Gephi and KeyLinesPART 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. …
Seller Inventory # 9781617293078
- Title
- Visualizing Graph Data
- Author
- Corey L Lanum
- Publisher
- Manning Publications Jan 2017
- Publication year
- 2017
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1617293075
- ISBN 13
- 9781617293078
- Item weight
- 415 grams
- Dimensions
- 233x184x20 mm
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 graphdata 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 toolsAUDIENCE
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.
"Synopsis" may belong to another edition of this title.
About the Author
analysis applications for companies and government agencies.
"About the title" may belong to another edition of this title.
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