Sinossi
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
- 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
PART 1 - GRAPH VISUALIZATION BASICS
PART 2 VISUALIZE YOUR OWN DATA
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
Corey Lanum has decades of experience building visualization and analysis applications for companies and government agencies.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Visualizing Graph Data
Editore:
Manning Publications, 2016
ISBN 10: 1617293075
ISBN 13: 9781617293078
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Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Codice articolo G1617293075I4N00
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Softcover. Condizione: Fine. Color and b/w illus. ; tall 8vo 9" - 10" tall; 232 pp. Codice articolo 55585
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ISBN 10: 1617293075
ISBN 13: 9781617293078
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Paperback. Condizione: new. 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 multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781617293078
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Paperback. Condizione: New. 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. Codice articolo LU-9781617293078
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Paperback. Condizione: New. 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. Codice articolo LU-9781617293078
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