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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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accomodates the full array of new extensions in the types of data and problems that Mathematica can immediately handle, including cloud services and;
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capabilities in the most recent version of Mathematica (10.4). It accommodates the full array of new extensions in the types of data and problems that;
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introduction to Mathematica New examples, exercises, and data sets, particularly on the bivariate normal distribution New visualization;
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introduction to Mathematica New examples, exercises, and data sets, particularly on the bivariate normal distribution New visualization;
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data visualization, or just want to play around with math in a visual way, Mathematica Cookbook is ideal for professionals and hobbyists from;
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Plenty of examples and case studies utilize Mathematica 7's newest tools, such as dynamic manipulations and adaptive three-dimensional;
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Learn and explore the fundamentals of data analysis with power of Mathematica About This Book * Use the power of Mathematica to;
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of data-acquisition equipment and the analysis of experimental data. It explains how to use Mathematica to import, manipulate, visualise and;
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of data-acquisition equipment and the analysis of experimental data. It explains how to use Mathematica to import, manipulate, visualise and;
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Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools;
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Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools;
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powerful graphic displays and visualization of Mathematica that make the most abstract theories seem simple - allowing you to tackle realistic;
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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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, technology, Mathematica (R) visualization, and Mathematica CDFs, enabling students to discover the theory and applications of linear algebra in a;
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sections integrate problems, technology, Mathematica R visualization, and Mathematica CDFs that allow students to discover the theory and;
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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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For some time, medicine has been an important driver for the development of data processing and visualization techniques. Improved;
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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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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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