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Author : Ben Fry
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596519303
Total Pages : 384 pages
Book Rating : 4.5/5 (965 download)
Download or read book Visualizing Data written by Ben Fry and published by "O'Reilly Media, Inc.". This book was released on 2008 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides information on the methods of visualizing data on the Web, along with example projects and code.
Author : Ronald Pearson
Publisher : Oxford University Press, USA
ISBN 13 :
Total Pages : 794 pages
Book Rating : 4.3/5 (97 download)
Download or read book Exploring Data in Engineering, the Sciences, and Medicine written by Ronald Pearson and published by Oxford University Press, USA. This book was released on 2011-02-03 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces various widely available exploratory data analysis methods, emphasizing those that are most useful in the preliminary exploration of large datasets involving mixed data types. Topics include descriptive statistics, graphical analysis tools, regression modeling and spectrum estimation, along with practical issues like outliers, missing data, and variable selection.
Author : Charles R. Severance
Publisher :
ISBN 13 : 9781530051120
Total Pages : 242 pages
Book Rating : 4.0/5 (511 download)
Download or read book Python for Everybody written by Charles R. Severance and published by . This book was released on 2016-04-09 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.
Author : David C. Hoaglin
Publisher : John Wiley & Sons
ISBN 13 : 1118150694
Total Pages : 564 pages
Book Rating : 4.1/5 (181 download)
Download or read book Exploring Data Tables, Trends, and Shapes written by David C. Hoaglin and published by John Wiley & Sons. This book was released on 2011-09-28 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "Exploring Data Tables, Trends, and Shapes (EDTTS) was written as a companion volume to the same editors' book, Understanding Robust and Exploratory Data Analysis (UREDA). Whereas UREDA is a collection of exploratory and resistant methods of estimation and display, EDTTS goes a step further, describing multivariate and more complicated techniques . . . I feel that the authors have made a very significant contribution in the area of multivariate nonparametric methods. This book [is] a valuable source of reference to researchers in the area." —Technometrics "This edited volume . . . provides an important theoretical and philosophical extension to the currently popular statistical area of Exploratory Data Analysis, which seeks to reveal structure, or simple descriptions, in data . . . It is . . . an important reference volume which any statistical library should consider seriously." —The Statistician This newly available and affordably priced paperback version of Exploring Data Tables, Trends, and Shapes presents major advances in exploratory data analysis and robust regression methods and explains the techniques, relating them to classical methods. The book addresses the role of exploratory and robust techniques in the overall data-analytic enterprise, and it also presents new methods such as fitting by organized comparisons using the square combining table and identifying extreme cells in a sizable contingency table with probabilistic and exploratory approaches. The book features a chapter on using robust regression in less technical language than available elsewhere. Conceptual support for each technique is also provided.
Author : Jeffrey D. Camm
Publisher : Cengage Learning
ISBN 13 : 9780357631348
Total Pages : 448 pages
Book Rating : 4.6/5 (313 download)
Download or read book Data Visualization: Exploring and Explaining with Data written by Jeffrey D. Camm and published by Cengage Learning. This book was released on 2021-05 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: DATA VISUALIZATION: Exploring and Explaining with Data is designed to introduce best practices in data visualization to undergraduate and graduate students. This is one of the first books on data visualization designed for college courses. The book contains material on effective design, choice of chart type, effective use of color, how to both explore data visually, and how to explain concepts and results visually in a compelling way with data. The book explains both the "why" of data visualization and the "how." That is, the book provides lucid explanations of the guiding principles of data visualization through the use of interesting examples.
Author :
Publisher : Elsevier
ISBN 13 : 0080459404
Total Pages : 660 pages
Book Rating : 4.0/5 (84 download)
Download or read book Data Mining and Data Visualization written by and published by Elsevier. This book was released on 2005-05-02 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering, classification, multivariate density estimation, tree-based methods, pattern recognition, outlier detection, genetic algorithms, and dimensionality reduction. The third section focuses on data visualization and covers issues of visualization of high-dimensional data, novel graphical techniques with a focus on human factors, interactive graphics, and data visualization using virtual reality. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm. Distinguished contributors who are international experts in aspects of data mining Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions Thorough discussion of data visualization issues blending statistical, human factors, and computational insights
Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)
Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Author : Jane; Marsh Elliott (Catherine)
Publisher : Polity
ISBN 13 : 0745622836
Total Pages : 329 pages
Book Rating : 4.7/5 (456 download)
Download or read book Exploring Data: An Introduction to Data Analysis for Social Scientists written by Jane; Marsh Elliott (Catherine) and published by Polity. This book was released on 2009 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kamarul Imran Musa & Wan Nor Arifin Wan Mansor
Publisher : Penerbit USM
ISBN 13 : 9674615296
Total Pages : 160 pages
Book Rating : 4.6/5 (746 download)
Download or read book Exploring Data Using R written by Kamarul Imran Musa & Wan Nor Arifin Wan Mansor and published by Penerbit USM. This book was released on 2021-10-27 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring Data Using R introduces readers to R and RStudio to make data exploration fast, fluid and fun. This book is suitable for readers with no previous R programming experience. It aims to get the readers to analyse data as quickly as possible. Authors Kamarul Imran Musa and Wan Nor Arifin Wan Mansor guide through three main steps in data exploration: data management, descriptive statistics and visual exploration. Readers will get a quick understanding and easy-to-use guides, along with the basic tools needed to use R in the RStudio IDE for efficient data exploration. Readers will learn how to: Install R and RStudio ,Manage data – turn datasets into formats convenient for analysis ,Describe data – for one and two variables and cross-tabulation ,Explore the data visually – create plots using popular R packages, for example, ggplot and lattice
Author : W. J. Dixon
Publisher : Univ of California Press
ISBN 13 : 0520338219
Total Pages : 576 pages
Book Rating : 4.5/5 (23 download)
Download or read book Exploring Data Analysis written by W. J. Dixon and published by Univ of California Press. This book was released on 2023-12-22 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1974. This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived
Author : The Open University
Publisher : The Open University
ISBN 13 :
Total Pages : pages
Book Rating : 4./5 ( download)
Download or read book Exploring data: graphs and numerical summaries written by The Open University and published by The Open University. This book was released on 2011-07-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This 20-hour free course introduced a number of ways of representing data graphically and summarising data numerically.
Author : Jerry Bonnell
Publisher : CRC Press
ISBN 13 : 1000918114
Total Pages : 492 pages
Book Rating : 4.0/5 (9 download)
Download or read book Exploring Data Science with R and the Tidyverse written by Jerry Bonnell and published by CRC Press. This book was released on 2023-08-14 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain proficiency in R programming Load and manipulate data frames, and "tidy" them using tidyverse tools Conduct statistical analyses and draw meaningful inferences from them Perform modeling from numerical and textual data Generate data visualizations (numerical and spatial) using ggplot2 and understand what is being represented
Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309449383
Total Pages : 269 pages
Book Rating : 4.3/5 (94 download)
Download or read book Exploring Data and Metrics of Value at the Intersection of Health Care and Transportation written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2016-11-28 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evidence from the public health sector demonstrates that health care is only one of the determinants of health, which also include genes, behavior, social factors, and the built environment. These contextual elements are key to understanding why health care organizations are motivated to focus beyond their walls and to consider and respond in unprecedented ways to the social needs of patients, including transportation needs. In June 2016 the National Academies of Sciences, Engineering, and Medicine held a joint workshop to explore partnerships, data, and measurement at the intersection of the health care and transportation sectors. This publication summarizes the presentations and discussions from the workshop.
Author : Andrew Cox
Publisher : Facet Publishing
ISBN 13 : 1783302801
Total Pages : 208 pages
Book Rating : 4.7/5 (833 download)
Download or read book Exploring Research Data Management written by Andrew Cox and published by Facet Publishing. This book was released on 2018-05-11 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Data Management (RDM) has become a professional topic of great importance internationally following changes in scholarship and government policies about the sharing of research data. Exploring Research Data Management provides an accessible introduction and guide to RDM with engaging tasks for the reader to follow and develop their knowledge. Starting by exploring the world of research and the importance and complexity of data in the research process, the book considers how a multi-professional support service can be created then examines the decisions that need to be made in designing different types of research data service from local policy creation, training, through to creating a data repository. Coverage includes: A discussion of the drivers and barriers to RDM Institutional policy and making the case for Research Data Services Practical data management Data literacy and training researchers Ethics and research data services Case studies and practical advice from working in a Research Data Service. This book will be useful reading for librarians and other support professionals who are interested in learning more about RDM and developing Research Data Services in their own institution. It will also be of value to students on librarianship, archives, and information management courses studying topics such as RDM, digital curation, data literacies and open science.
Author : Chester Ismay
Publisher : CRC Press
ISBN 13 : 1000763463
Total Pages : 461 pages
Book Rating : 4.0/5 (7 download)
Download or read book Statistical Inference via Data Science: A ModernDive into R and the Tidyverse written by Chester Ismay and published by CRC Press. This book was released on 2019-12-23 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisites, notably, no prior calculus nor coding experience ● Motivates theory using real-world data, including all domestic flights leaving New York City in 2013, the Gapminder project, and the data journalism website, FiveThirtyEight.com ● Centers on simulation-based approaches to statistical inference rather than mathematical formulas ● Uses the infer package for "tidy" and transparent statistical inference to construct confidence intervals and conduct hypothesis tests via the bootstrap and permutation methods ● Provides all code and output embedded directly in the text; also available in the online version at moderndive.com This book is intended for individuals who would like to simultaneously start developing their data science toolbox and start learning about the inferential and modeling tools used in much of modern-day research. The book can be used in methods and data science courses and first courses in statistics, at both the undergraduate and graduate levels.
Author : Teija Rantala
Publisher : Myers Education Press
ISBN 13 : 1975501179
Total Pages : 181 pages
Book Rating : 4.9/5 (755 download)
Download or read book Exploring Data Production in Motion written by Teija Rantala and published by Myers Education Press. This book was released on 2019-11-14 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring Data Production in Motion facilitates the use of feminist critical qualitative methodologies. With open-ended methods and poststructuralist theory and analysis, this book will offer tools to approach and to examine challenging and controversial topics ethically. This book will argue that to examine data of ‘individual’ experience and aspirations requires examining the process of the data production in which these were ‘produced’. Therefore, this book will form an understanding of a data production as a process, which in its fluidity enables us also to form an understanding of difference and change as inevitable parts of social processes. Movement expresses here the dynamic forces in the data production (including its analysis), which produce ‘the life’ to the lines of the data. It welcomes change and uncertainty by allowing the data production processes, its intensities and fluctuations, to take the lead in the inquiry. This compels the methods to adjust to the requirements of the data production processes. The book demonstrates the use of feminist methodology and illuminates how the feminist critical inquiry is essential in examining issues of minority and difference. In this the focus is in the differences. As a feminist inquiry this book contributes to recognizing differences within while examining minority worldviews and perceiving difference as essential force in striving for sustainable ethics in the times of political polarization. Perfect for Higher Education courses such as: Qualitative Research Methodology | Qualitative Research Methods and Analysis | Feminist Poststructuralist Methodologies and Qualitative Research | Qualitative Methods in Critical Social Research | Experimental Methodologies in Qualitative Research
Author : Ludovic Lebart
Publisher : Springer Science & Business Media
ISBN 13 : 9401715254
Total Pages : 270 pages
Book Rating : 4.4/5 (17 download)
Download or read book Exploring Textual Data written by Ludovic Lebart and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers in a number of disciplines deal with large text sets requiring both text management and text analysis. Faced with a large amount of textual data collected in marketing surveys, literary investigations, historical archives and documentary data bases, these researchers require assistance with organizing, describing and comparing texts. Exploring Textual Data demonstrates how exploratory multivariate statistical methods such as correspondence analysis and cluster analysis can be used to help investigate, assimilate and evaluate textual data. The main text does not contain any strictly mathematical demonstrations, making it accessible to a large audience. This book is very user-friendly with proofs abstracted in the appendices. Full definitions of concepts, implementations of procedures and rules for reading and interpreting results are fully explored. A succession of examples is intended to allow the reader to appreciate the variety of actual and potential applications and the complementary processing methods. A glossary of terms is provided.
