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Master the art of building responsive visualizations on the Web About This Book * Learn the techniques for building data;
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Unchain your data from the desktop with responsive visualizations Building Responsive Data Visualization for the Web is a handbook for any;
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If you are a Python novice or an experienced developer and want to explore data visualization libraries, then this is the book for you. No;
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Roassal visualization engine and first presents the basic and necessary tools to visualize data, including an introduction to the Pharo;
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visualization offers practitioners in almost every field a coherent way to share findings from original research, big data, learning analytics, and more;
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visualization offers practitioners in almost every field a coherent way to share findings from original research, big data, learning analytics, and more;
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Packed with practical recipes, this is a step-by-step guide to learning data visualization with D3 with the help of detailed illustrations;
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comprehensive guide to learning scalable data visualization techniques in Kibana Who This Book Is For If you are a developer, data visualization;
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This edited volume fills the gaps in existing literature on visualization and dashboard design for learning analytics. To do so, it;
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your data exploration skills, tells you everything there is to know about interactive data visualization in Python. You'll begin by learning;
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, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;
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Understand, explore, and effectively present data using the powerful data visualization techniques of Python programming. Key Features;
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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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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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This book focuses on the development and application of the latest advanced data mining, machine learning, and visualization techniques for;
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This book offers an introduction and hands-on examples that demonstrate how Learning Analytics (LA) can be used to enhance digital learning;
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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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of data handling, preprocessing, and visualization. The book concludes with machine learning algorithms and their applications in biological data;
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of data handling, preprocessing, and visualization. The book concludes with machine learning algorithms and their applications in biological data;
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Learn to use IPython and Jupyter Notebook for your data analysis and visualization work. Key Features Leverage the Jupyter Notebook for;
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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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A modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation;
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in learning effective data visualization techniques with R and a wide-range of its associated libraries.;
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equivalent knowledge and skills, before starting the Data Visualization Certificate. Learning Labs This is an interactive learning program;
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