Pictorial Data Analysis
Pictorial Data Analysis

Author: Robert M. Haralick

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 468

ISBN-13: 3642820174

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This volume is the collection of lectures and presentations of the NATO AS! On Pictorial Data Analysis, held August 1-12, 1982 in the beautiful chateau de Bonas, Bonas France. The director of the AS! was Robert M. Haralick and the Co-director was Stefano Levialdi. The papers in the book are arranged in two sections first theory and general prinicples and then applications. Local computations play a central role in image processing both when a traditional computer is used and when parallel machines are used for improving image throughput. Levialdi reviews such neighborhood operators. Hung and Kasvand discuss a line thinning application which involves detection of critical points on chain encoded data. Most low level image processing has been done using the digital raster as the basic data structure. Within the last few years many of these basic algorithms have been developed for the quadtree data structure. The quadtree permits easier access to certain kinds of spatial adjacency relationships in a variable resolution context. Rosenfeld reviews the properties of these representations and their uses in image segmentation and property measurement. Besslich discusses an expanded form of an invertible quadtree representation which permits a multiprocessor execution. Gisolfi and Vitulano discuss the C-matrix and C-filtering technique for image and texture feature extraction. O'mara et.al. discuss the application of Codel numbers to image feature extraction. Kropatsch discusses an image segmentation technique which permits the effective use of a variety of different kinds of segmentation techniques.

Graphics for Statistics and Data Analysis with R
Graphics for Statistics and Data Analysis with R

Author: Kevin J Keen

Publisher: CRC Press

Published: 2010-04-26

Total Pages: 486

ISBN-13: 1584880872

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Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data visualization and representation. The book considers graphical displays of a single discrete variable, a single continuous variable, and then two or more of each of these. It includes displays and the R code for producing the displays for the dot chart, bar chart, pictographs, stemplot, boxplot, and variations on the quantile-quantile plot. The author discusses nonparametric and parametric density estimation, diagnostic plots for the simple linear regression model, polynomial regression, and locally weighted polynomial regression for producing a smooth curve through data on a scatterplot. The last chapter illustrates visualizing multivariate data with examples using Trellis graphics. Showing how to use graphics to display or summarize data, this text provides best practice guidelines for producing and choosing among graphical displays. It also covers the most effective graphing functions in R. R code is available for download on the book’s website.

Envisioning Information
Envisioning Information

Author: Edward R. Tufte

Publisher:

Published: 1990

Total Pages: 356

ISBN-13: 9780961392116

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Escaping flatland -- Micro/macro readings -- Layering and separation -- Small multiples -- Color and information -- Narratives and space and time -- Epilogue.

Data Points
Data Points

Author: Nathan Yau

Publisher: John Wiley & Sons

Published: 2013-03-25

Total Pages: 8

ISBN-13: 1118654935

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A fresh look at visualization from the author of Visualize This Whether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table Includes examples from the author's own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more Examines standard rules across all visualization applications, then explores when and where you can break those rules Create visualizations that register at all levels, with Data Points: Visualization That Means Something.

R for Data Science
R for Data Science

Author: Hadley Wickham

Publisher: "O'Reilly Media, Inc."

Published: 2016-12-12

Total Pages: 521

ISBN-13: 1491910364

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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Data Visualization, Volume I
Data Visualization, Volume I

Author: Amar Sahay

Publisher: Business Expert Press

Published: 2016-12-31

Total Pages: 169

ISBN-13: 1631573365

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Data visualization involves graphical and visual tools used in data analysis and decision making. The emphasis in this book is on recent trends and applications of visualization tools using conventional and big data. These tools are widely used in data visualization and quality improvement to analyze, enhance, and improve the quality of products and services. Data visualization is an easy way to obtain a first look at the data visually. The book provides a collection of visual and graphical tools widely used to gain an insight into the data before applying more complex analysis. The focus is on the key application areas of these tools including business process improvement, business data analysis, health care, finance, manufacturing, engineering, process improvement, and Lean Six Sigma. The key areas of application include data and data analysis concepts, recent trends in data visualization and ÒBig Data,Ó widely used charts and graphs and their applications, analysis of the relationships between two or more variables graphically using scatterplots, bubble graphs, matrix plots, etc., data visualization with big data, computer applications and implementation of widely used graphical and visual tools, and computer instructions to create the graphics presented along with the data files.

The Behavioral and Social Sciences
The Behavioral and Social Sciences

Author: National Research Council

Publisher: National Academies Press

Published: 1988-02-01

Total Pages: 301

ISBN-13: 0309037492

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This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.

The Handbook of Visual Analysis
The Handbook of Visual Analysis

Author: Theo Van Leeuwen

Publisher: SAGE

Published: 2001-03-29

Total Pages: 226

ISBN-13: 0761964770

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The Handbook of Visual Analysis is a rich methodological resource for students, academics, researchers and professionals interested in investigating the visual representation of socially significant issues. The Handbook: Offers a wide-range of methods for visual analysis: content analysis, historical analysis, structuralist analysis, iconography, psychoanalysis, social semiotic analysis, film analysis and ethnomethodology Shows how each method can be applied for the purposes of specific research projects Exemplifies each approach through detailed analyses of a variety of data, including, newspaper images, family photos, drawings, art works and cartoons Includes examples from the authors' own research and professional practice The Handbook of Visual Analysis, which demonstrates the importance of visual data within the social sciences offers an essential guide to those working in a range of disciplines including: media and communication studies, sociology, anthropology, education, psychoanalysis, and health studies.

The Big Picture: How to Use Data Visualization to Make Better Decisions—Faster
The Big Picture: How to Use Data Visualization to Make Better Decisions—Faster

Author: Steve Wexler

Publisher: McGraw Hill Professional

Published: 2021-05-18

Total Pages: 208

ISBN-13: 1260473538

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Not a data expert? Here’s an engaging and entertaining guide to interpreting and drawing insights from any chart, graph, or other data visualization you’ll encounter. You’re a business professional, not a data scientist. How do you make heads or tails of the data visualizations that come across your desk—let alone make critical business decisions based on the information they’re designed to convey? In The Big Picture, top data visualization consultant Steve Wexler provides the tools for developing the graphical literacy you need to understand the data visualizations that are flooding your inbox—and put that data to use. Packed with the best four-color examples created in Excel, Tableau, Power BI, and Qlik, among others, this one-stop resource empowers you to extract the most important information from data visualizations quickly and accurately, act on key insights, solve problems, and make the right decisions for your organization every time.

Statistical Graphics for Univariate and Bivariate Data
Statistical Graphics for Univariate and Bivariate Data

Author: William G. Jacoby

Publisher: SAGE

Published: 1997-02-24

Total Pages: 116

ISBN-13: 9780761900832

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Statistical Graphics for Univariate and Bivariate Data focuses on graphical displays that researchers can employ as an integral part of the data analysis process, and provides strategies for examining data more effectively.