Lanum corey (25 resultados)
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Librería: BooksRun, Philadelphia, PA, Estados Unidos de AmericaBooksRun
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Paperback. Condición: Very Good. First Edition. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de AmericaThriftBooks-Atlanta
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Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de AmericaThriftBooks-Dallas
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Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Librería: AVON HILL BOOKS, Cambridge, MA, Estados Unidos de AmericaAVON HILL BOOKS
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Softcover. Condición: Fine. Color and b/w illus. ; tall 8vo 9" - 10" tall; 232 pp.
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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Paperback. Condición: 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 relation…ships 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.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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Paperback. Condición: 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 rel…ationships 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.
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Librería: Rarewaves USA, HEBRON, KY, Estados Unidos de AmericaRarewaves USA
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Paperback. Condición: 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 relation…ships 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.
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Librería: WorldofBooks, Goring-By-Sea, WS, Reino UnidoWorldofBooks
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Paperback. Condición: 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.
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Librería: INDOO, Avenel, NJ, Estados Unidos de AmericaINDOO
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Condición: As New. Unread copy in mint condition.
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Librería: INDOO, Avenel, NJ, Estados Unidos de AmericaINDOO
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Condición: New. pp. 275.
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. pap/psc edition. 210 pages. 9.25x7.50x0.75 inches. In Stock.
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Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Condición: New. pp. 275.
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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Paperback / softback. Condición: New. New copy - Usually dispatched within 3 working days.
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. pp. 275.
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condición: New. . 2016. 1st Edition. Paperback. . . . .
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
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Condición: New. . 2016. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
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Librería: Rarewaves USA United, HEBRON, KY, Estados Unidos de AmericaRarewaves USA United
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Paperback. Condición: 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 relation…ships 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.
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Librería: Speedyhen, Hertfordshire, Reino UnidoSpeedyhen
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Paperback. Condición: 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 rel…ationships 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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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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Paperback. Condición: 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 relation…ships 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.
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 36,85
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Taschenbuch. Condición: Neu. Visualizing Graph Data | Corey L Lanum | Taschenbuch | Kartoniert / Broschiert | Englisch | 2017 | Manning Publications | EAN 9781617293078 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. 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 vi…sualizations. Purchase of the print book includes a free Elektronisches Buch in PDF, Kindle, and ePub formats from Manning Publications.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.
