Visual Statistics


Visual Statistics
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Visual Statistics


Visual Statistics
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Author : Forrest W. Young
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-15

Visual Statistics written by Forrest W. Young and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-15 with Mathematics categories.


A visually intuitive approach to statistical data analysis Visual Statistics brings the most complex and advanced statistical methods within reach of those with little statistical training by using animated graphics of the data. Using ViSta: The Visual Statistics System-developed by Forrest Young and Pedro Valero-Mora and available free of charge on the Internet-students can easily create fully interactive visualizations from relevant mathematical statistics, promoting perceptual and cognitive understanding of the data's story. An emphasis is placed on a paradigm for understanding data that is visual, intuitive, geometric, and active, rather than one that relies on convoluted logic, heavy mathematics, systems of algebraic equations, or passive acceptance of results. A companion Web site complements the book by further demonstrating the concept of creating interactive and dynamic graphics. The book provides users with the opportunity to view the graphics in a dynamic way by illustrating how to analyze statistical data and explore the concepts of visual statistics. Visual Statistics addresses and features the following topics: * Why use dynamic graphics? * A history of statistical graphics * Visual statistics and the graphical user interface * Visual statistics and the scientific method * Character-based statistical interface objects * Graphics-based statistical interfaces * Visualization for exploring univariate data This is an excellent textbook for undergraduate courses in data analysis and regression, for students majoring or minoring in statistics, mathematics, science, engineering, and computer science, as well as for graduate-level courses in mathematics. The book is also ideal as a reference/self-study guide for engineers, scientists, and mathematicians. With contributions by highly regarded professionals in the field, Visual Statistics not only improves a student's understanding of statistics, but also builds confidence to overcome problems that may have previously been intimidating.



Visual Statistics 2 0


Visual Statistics 2 0
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Author : David P. Doane
language : en
Publisher: Irwin/McGraw-Hill
Release Date : 2001

Visual Statistics 2 0 written by David P. Doane and has been published by Irwin/McGraw-Hill this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Business & Economics categories.




Visual Statistics


Visual Statistics
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Author : David P. Doane
language : en
Publisher: Richard d Irwin
Release Date : 1996-11

Visual Statistics written by David P. Doane and has been published by Richard d Irwin this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-11 with Mathematics categories.


Visual Statistics is an interactive multimedia tool designed to teach statistical concepts in a graphical and user-friendly environment. The software consists of 21 topics that are typically covered in an Introductory Statistics or Business Statistics course, and can be found in other courses such as Regression, Quality Control and Forecasting. The software can be used alone or with a textbook. This unique tool fosters "interactive learning" through competency-building exercises, individual and team experiments, relevant examples and built-in databases.



Visual Statistics


Visual Statistics
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Author : David P. Doane
language : en
Publisher:
Release Date : 2000-12-29

Visual Statistics written by David P. Doane and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-12-29 with categories.




Data Representations Transformations And Statistics For Visual Reasoning


Data Representations Transformations And Statistics For Visual Reasoning
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Author : Ross Maciejewski
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2011

Data Representations Transformations And Statistics For Visual Reasoning written by Ross Maciejewski and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Business & Economics categories.


Analytical reasoning techniques are methods by which users explore their data to obtain insight and knowledge that can directly support situational awareness and decision making. Recently, the analytical reasoning process has been augmented through the use of interactive visual representations and tools which utilize cognitive, design and perceptual principles. These tools are commonly referred to as visual analytics tools, and the underlying methods and principles have roots in a variety of disciplines. This chapter provides an introduction to young researchers as an overview of common visual representations and statistical analysis methods utilized in a variety of visual analytics systems. The application and design of visualization and analytical algorithms are subject to design decisions, parameter choices, and many conflicting requirements. As such, this chapter attempts to provide an initial set of guidelines for the creation of the visual representation, including pitfalls and areas where the graphics can be enhanced through interactive exploration. Basic analytical methods are explored as a means of enhancing the visual analysis process, moving from visual analysis to visual analytics. Table of Contents: Data Types / Color Schemes / Data Preconditioning / Visual Representations and Analysis / Summary



Visual Statistics


Visual Statistics
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Author : Jack R. Fraenkel
language : en
Publisher: Allyn & Bacon
Release Date : 1999

Visual Statistics written by Jack R. Fraenkel and has been published by Allyn & Bacon this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Mathematical statistics categories.


Statistics can be seen by many as a difficult or intimidating subject.



Image Statistics In Visual Computing


Image Statistics In Visual Computing
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Author : Tania Pouli
language : en
Publisher: CRC Press
Release Date : 2013-12-13

Image Statistics In Visual Computing written by Tania Pouli and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-13 with Computers categories.


To achieve the complex task of interpreting what we see, our brains rely on statistical regularities and patterns in visual data. Knowledge of these regularities can also be considerably useful in visual computing disciplines, such as computer vision, computer graphics, and image processing. The field of natural image statistics studies the regularities to exploit their potential and better understand human vision. With numerous color figures throughout, Image Statistics in Visual Computing covers all aspects of natural image statistics, from data collection to analysis to applications in computer graphics, computational photography, image processing, and art. The authors keep the material accessible, providing mathematical definitions where appropriate to help readers understand the transforms that highlight statistical regularities present in images. The book also describes patterns that arise once the images are transformed and gives examples of applications that have successfully used statistical regularities. Numerous references enable readers to easily look up more information about a specific concept or application. A supporting website also offers additional information, including descriptions of various image databases suitable for statistics. Collecting state-of-the-art, interdisciplinary knowledge in one source, this book explores the relation of natural image statistics to human vision and shows how natural image statistics can be applied to visual computing. It encourages readers in both academic and industrial settings to develop novel insights and applications in all disciplines that relate to visual computing.



Exploring Sas Viya


Exploring Sas Viya
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Author : Sas Education
language : en
Publisher:
Release Date : 2019-06-28

Exploring Sas Viya written by Sas Education and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-28 with categories.


Data visualization enables decision makers to see analytics presented visually so that they can grasp difficult concepts or identify new patterns. SAS offers several solutions for visualizing your data, many of which are powered by SAS Viya. This book includes four visualization solutions powered by SAS Viya: SAS Visual Analytics, SAS Visual Statistics, SAS Visual Text Analytics, and SAS Visual Investigator. SAS visualization software is designed for anyone in your organization who wants to use and derive insights from data-from influencers, decision makers, and analysts to statisticians and data scientists. Also available as a free e-book from sas.com/books.



Visual Analytics For Data Scientists


Visual Analytics For Data Scientists
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Author : Natalia Andrienko
language : en
Publisher: Springer Nature
Release Date : 2020-08-30

Visual Analytics For Data Scientists written by Natalia Andrienko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-30 with Computers categories.


This textbook presents the main principles of visual analytics and describes techniques and approaches that have proven their utility and can be readily reproduced. Special emphasis is placed on various instructive examples of analyses, in which the need for and the use of visualisations are explained in detail. The book begins by introducing the main ideas and concepts of visual analytics and explaining why it should be considered an essential part of data science methodology and practices. It then describes the general principles underlying the visual analytics approaches, including those on appropriate visual representation, the use of interactive techniques, and classes of computational methods. It continues with discussing how to use visualisations for getting aware of data properties that need to be taken into account and for detecting possible data quality issues that may impair the analysis. The second part of the book describes visual analytics methods and workflows, organised by various data types including multidimensional data, data with spatial and temporal components, data describing binary relationships, texts, images and video. For each data type, the specific properties and issues are explained, the relevant analysis tasks are discussed, and appropriate methods and procedures are introduced. The focus here is not on the micro-level details of how the methods work, but on how the methods can be used and how they can be applied to data. The limitations of the methods are also discussed and possible pitfalls are identified. The textbook is intended for students in data science and, more generally, anyone doing or planning to do practical data analysis. It includes numerous examples demonstrating how visual analytics techniques are used and how they can help analysts to understand the properties of data, gain insights into the subject reflected in the data, and build good models that can be trusted. Based on several years of teaching related courses at the City, University of London, the University of Bonn and TU Munich, as well as industry training at the Fraunhofer Institute IAIS and numerous summer schools, the main content is complemented by sample datasets and detailed, illustrated descriptions of exercises to practice applying visual analytics methods and workflows.



An Introduction To Sas Visual Analytics


An Introduction To Sas Visual Analytics
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Author : Tricia Aanderud
language : en
Publisher: SAS Institute
Release Date : 2017-03-21

An Introduction To Sas Visual Analytics written by Tricia Aanderud and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-21 with Computers categories.


When it comes to business intelligence and analytical capabilities, SAS Visual Analytics is the premier solution for data discovery, visualization, and reporting. An Introduction to SAS Visual Analytics will show you how to make sense of your complex data with the goal of leading you to smarter, data-driven decisions without having to write a single line of code – unless you want to! You will be able to use SAS Visual Analytics to access, prepare, and present your data to anyone anywhere in the world. SAS Visual Analytics automatically highlights key relationships, outliers, clusters, trends and more. These abilities will guide you to critical insights that inspire action from your data. With this book, you will become proficient using SAS Visual Analytics to present data and results in customizable, robust visualizations, as well as guided analyses through auto-charting. With interactive dashboards, charts, and reports, you will create visualizations which convey clear and actionable insights for any size and type of data. This book largely focuses on the version of SAS Visual Analytics on SAS 9.4, although it is available on both 9.4 and SAS Viya platforms. Each version is considered the latest release, with subsequent releases planned to continue on each platform; hence, the Viya version works similarly to the 9.4 version and will look familiar. This book covers new features of each and important differences between the two. With this book, you will learn how to: Build your first report using the SAS Visual Analytics Designer Prepare a dashboard and determine the best layout Effectively use geo-spatial objects to add location analytics to reports Understand and use the elements of data visualizations Prepare and load your data with the SAS Visual Analytics Data Builder Analyze data with a variety of options, including forecasting, word clouds, heat maps, correlation matrix, and more Understand administration activities to keep SAS Visual Analytics humming along Optimize your environment for considerations such as scalability, availability, and efficiency between components of your SAS software deployment and data providers