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Ways that raw and summary data can be turned into visualizations that convey meaningful insights: basic graphs, bar charts, scatter plots, and line charts, and... Læs mere
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This book describes ways to design and implement dashboards based on the programming language Python, the graphics library Plotly, and Dash.
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D3.js in Action, Third Edition teaches you how to create an extensive portfolio of visualizations, interactive graphics, and data-driven applications using D3.js. This third... Læs mere
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?This book focuses on a wide range of breakthroughs related to digital biometrics and forensics. Topics include multimodal biometrics, soft biometrics,... Læs mere
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Evidently, electrochemical sensing has revolutionized the electroanalytical detections in the world. Since 19th century, huge amount of growth is visible on various fronts, such as biosensors, energy devices, semiconductor devices, communication, embedded systems, sensors etc.
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This book presents dual quaternions and their associated Clifford algebras in a new light, accessible to and geared towards the Computer Graphics community.
Bemærk: Kan ikke leveres før jul.
Data Visualization in Excel provides a step-by-step guide to creating more advanced and often more effective data visualizations in Excel and is the perfect guide for anyone who wants to create better, more effective, and more engaging data visualizations.
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A completely new chapter describes how the structured survey can be used for the guided selection of suitable visualization techniques. For the second edition, our TimeViz Browser, the digital pendant to the survey of visualization techniques, received a major upgrade.
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This book details recent developments in the emerging area of plug-and-play (PnP) visual subgraph query interfaces (VQI).
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This book introduces fundamental concepts and principles of 2D and 3D graphics and illustrates the use of MATLAB for this purpose. The objectives are to... Læs mere
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This book describes interactive data visualization using the R package plotly. It focuses on tools and techniques that data analysts should find useful for asking follow-up questions from their data using interactive web graphics. A basic understanding of R is assumed.