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This issue delivers concrete suggestions for optimally using data visualization in evaluation, as well as suggestions for best practices;
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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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Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical;
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2 comprehensive manuscripts in 1 book Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics;
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Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic;
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visualization component of the book is separated into three parts: empirical data, scalar values over 2D data, and volumes.;
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visualization component of the book is separated into three parts: empirical data, scalar values over 2D data, and volumes.;
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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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This book presents the fundamentals and advances in the field of data visualization and knowledge engineering, supported by case studies;
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from which data are collected. The second part is devoted to quality tools-a set of graphical and information visualization tools in data;
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goals of the book, we present a brief description of both worlds of visualization (Chapter 2) and verification (Chapter 3). We then proceed to;
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Scholarly Data,- SAVE-SD 2016, held in Montreal, QC, Canada, in April 2016. The 5 full papers, 6 demo and poster papers and 2 position papers;
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will learn about theories behind data visualization. In Part Two, you will learn how to use D3.js to create the best charts and layouts;
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visualization of time-oriented data along three key questions: what is being visualized (data), why something is visualized (user tasks), and how it;
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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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three parts: 1. Part 1 Clustering and Visualization (eight papers) 2. Part 2 Methods in Fields (nine papers) 3. Part 3 Applications;
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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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Delivered in Evergreen's humorous and approachable style, Effective Data Visualization shows readers how to create Excel charts and graphs;
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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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