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Information visualization

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Information visualization.

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Information visualization --- Computer graphics

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The focus of this book is on data visualization and information visualization tools--two major categories of data visualization. The first part discusses the concepts and applications related to data analysis, visualization, and the current trend in data visualization. A discussion of systems and processes is provided as all data are collected from systems and processes. A section emphasizes the importance of variation in data analysis since almost all data show variation and the visual tools are an excellent way to study, analyze, and reduce the variation in the processes. Applications illustrate how the visual tools are an excellent means of viewing the current state of the process and provide the opportunities for improvement. The second part of the book is devoted to quality tools, a set of graphical and information visualization tools in data analysis, decision making, and Lean Six Sigma quality programs. The key application areas of visual tools including the business process improvement, business data analysis, health care, finance, manufacturing engineering, process improvement, and product and process design are discussed. The two categories of visualization tools--seven basic tools and seven new tools of quality-- are discussed with their applications. The basic quality tools are Process Maps, Check Sheets, Histograms, Scatter Diagrams, Run Charts, Control Charts, Cause-and-Effect (Ishikawa) Diagrams, and Pareto Charts/ Analysis. The seven new tools of quality--a set of visuals used to solve quality problems using graphical and analytical techniques--include the Affinity Diagram, Interrelationship Digraph, Tree Diagram, Prioritizing Matrices, Matrix Diagram, Process Decision Program Chart, and Activity Network Diagram. Other information processing tools, such as QFD-- the quality function deployment/house of quality--and multivari charts, are discussed using commonly used software.

Information visualization. --- Big data.

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"Data Journalism Methods is the definitive introduction to using data and technology in reporting for both journalism students and working practitioners. The text covers both the basics and more advanced techniques, discussing what data is, where it is stored, how it can be used, and, ultimately, how it can drive incredible journalism. Covering all of the major methods used by modern journalists, including current and cutting-edge technologies such as Google Fusion Tables, ArcMap, and Ruby on Rails, Data Journalism Methods demonstrates how to tell stories with data and how to combine the results of data analysis with traditional reporting. This engaging overview of the field pairs the theory and principles behind each method with examples drawn from top stories from around the world. It walks readers through the key techniques using detailed overviews paired with instructive online tutorials, offering readers both a theoretical and practical approach to incorporating data journalism into all media. Written in an accessible manner and suited for use by students and journalists alike, Data Journalism Methods is an invaluable guide to combining the results of data analysis with traditional reporting to create compelling journalism."--

Data mining --- Information visualization