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VDS : 2017 IEEE Visualization in Data Science : 1 October 2017, Phoenix, AZ, USA
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ISBN: 1538631857 1538631865 Year: 2017 Publisher: Piscataway, New Jersey : Institute of Electrical and Electronics Engineers,

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Data visualization and health econometrics
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ISBN: 1680833197 Year: 2017 Publisher: Boston ; Delft : Now,

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Good charts for persuasive presentations : how to use the best data visualizations for great presentations.
ISBN: 1633694062 9781633694064 Year: 2017 Publisher: Boston, Massachusetts : Harvard Business Review Press,

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The right visual revealed at the right time can turn an unremarkable presentation into a resonant, emotional experience. This two-book collection provides you with the tools you need to craft and deliver presentations that will impress your audience, increase your influence in your organization, and advance your career. Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations shows how a good visualization can communicate the nature and potential impact of information and ideas more powerfully than any other form of communication. For a long time "dataviz" was left to specialists--data scientists and professional designers. No longer. A new generation of tools and massive amounts of available data make it easy for anyone to create visualizations that communicate ideas far more effectively than generic spreadsheet charts ever could. What's more, building good charts is quickly becoming a need-to-have skill for managers. If you're not doing it, other managers are, and they're getting noticed for it and getting credit for contributing to your company's success. In Good Charts, dataviz maven Scott Berinato provides an essential guide to how visualization works and how to use this new language to impress and persuade. Dataviz today is where spreadsheets and word processors were in the early 1980s-on the cusp of changing how we work. Berinato lays out a system for thinking visually and building better charts through a process of talking, sketching, and prototyping. This book is much more than a set of static rules for making visualizations. It taps into both well-established and cutting-edge research in visual perception and neuroscience, as well as the emerging field of visualization science, to explore why good charts (and bad ones) create "feelings behind our eyes." Along the way, Berinato also includes many engaging vignettes of dataviz pros, illustrating the ideas in practice. Good Charts will help you turn plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas. HBR Guide to Persuasive Presentations will teach you to how to take the pain out of presentations. Terrified of speaking in front of a group? Or simply looking to polish your skills? No matter where you are on the spectrum, this guide will give you the confidence and the tools you need to get results. Written by presentation expert Nancy Duarte, the HBR Guide to Persuasive Presentations will help you: (1) Win over tough crowds, (2) Organize a coherent narrative, (3) Create powerful messages and visuals, (4) Connect with and engage your audience, (5) Show people why your ideas matter to them, and (6) Strike the right tone, in any situation.


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Storytelling mit daten : die Grundlagen der effektiven Kommunikation und Visualisierung mit daten
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ISBN: 3800653753 Year: 2017 Publisher: München, [Germany] : Verlag Franz Vahlen,

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Proceedings of the 10th International Symposium on Visual Information Communication and Interaction

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Data visualization.
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Year: 2017 Publisher: New York : Business Expert Press,

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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.


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Proceedings, SAP 2017 : ACM Symposium on Applied Perception : proceedings : Cottbus, Germany, September 16-17, 2017
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Year: 2017 Publisher: New York : ACM,

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SAP, formerly known as APGV, aims to broadly support and promote interdisciplinary research at the intersection of perception and computer science, focusing on disciplines such as computer graphics, virtual reality, vision science, haptics and acoustics.


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2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM)
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ISBN: 1509066381 150906639X Year: 2017 Publisher: Piscataway, New Jersey : IEEE,

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The conference is mainly focused on to the theoretical and methodological aspects of Self Organizing Maps and Learning Vector Quantization More generally, we expect contributions in Data analysis and data visualization, temporal and incremental data mining, various mathematical approaches including information theory and mathematical statistics, software and hardware implementations, architectural solutions including hierarchical and growing networks, ensemble models and special metrics, neuro cognitive studies that compare modeling and empirical results at different levels, models, experimental investigations and applications of autonomous mental development.


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Proceedings of ISAV 2017 : In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization : November 12, 2017
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Year: 2017 Publisher: New York : ACM,

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VAHC : 2017 IEEE Workshop on Visual Analytics in Healthcare : 1 October 2017, Phoenix, AZ, USA
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ISBN: 1538631873 1538631881 Year: 2017 Publisher: Piscataway, New Jersey : Institute of Electrical and Electronics Engineers,

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