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data, data visualization and CAQDAS.;
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capabilities and there are many new possibilities for data displays. This book gives an overview of modern data visualization methods, both in theory;
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This book presents the fundamentals and advances in the field of data visualization and knowledge engineering, supported by case studies;
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Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book's programming-friendly;
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Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This books programming-friendly;
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Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of Python Key Features;
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Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an;
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Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an;
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Mobile Data Visualization is the first book to provide an overview of how to e ffectively visualize, analyze, and communicate data on;
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the broadest applicability across fields, the second edition of Data Visualization: Principles and Practice provides a streamlined;
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with the broadest applicability across fields, the second edition of Data Visualization: Principles and Practice provides a streamlined;
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Mobile Data Visualization is about facilitating access to and understanding of data on mobile devices. Wearable trackers, mobile phones;
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in visualization applications for biological networks, computer security, data analytics, education, computer networks, and social networks. Edited by a;
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in visualization applications for biological networks, computer security, data analytics, education, computer networks, and social networks. Edited by a;
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this beginner-friendly workshop Key Features Discover the essential tools and methods of data visualization Learn to use standard;
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For some time, medicine has been an important driver for the development of data processing and visualization techniques. Improved;
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This edition compiles all major techniques of flow visualization and demonstrates their applications in all fields of science and;
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A guide to the basics of information visualization that teaches nonprogrammers how to use advanced data mining and visualization techniques;
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Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualization About This Book;
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tutorials. It begins with a description of the huge growth of data and visualization in industry, news, and gov't and opportunities for those who;
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Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book;
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Exploit the visualization capabilities of Kibana and build powerful interactive dashboards About This Book * Introduction to data;
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This book is written in a Cookbook style targeted towards an advanced audience. It covers the advanced topics of data visualization;
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Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data. Particle data;
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If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science;
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created a full-color, step-by-step guide to building specific types of visualizations. The book thoroughly covers the Microsoft toolset for data;
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statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points;
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