visualizing graph data de lanum corey (23 résultats)

Paperback. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Softcover. Etat : Fine. Color and b/w illus. ; tall 8vo 9" - 10" tall; 232 pp.

Paperback. Etat : Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Etat : 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.

Paperback. Etat : 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.

Paperback. Etat : 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.

Etat : As New. Unread copy in mint condition.

Etat : New. Brand New.

Etat : New. pp. 275.

Paperback. Etat : Brand New. pap/psc edition. 210 pages. 9.25x7.50x0.75 inches. In Stock.

Etat : NEW.

Etat : New. pp. 275.

Etat : New. pp. 275.

Paperback / softback. Etat : New. New copy - Usually dispatched within 3 working days.

Paperback. Etat : New.

Etat : New. . 2016. 1st Edition. Paperback. . . . .

Etat : New. . 2016. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.

Paperback. Etat : 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.

Paperback. Etat : 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Etat : NEW.

Paperback. Etat : 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.

Taschenbuch. Etat : Neu. Neuware - Teaches techniques for creating effective visualizations.