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The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process.

A practical, one-stop reference on the theory and applications of statistical data editing and imputation techniques Collected survey data are vulnerable to error. In particular, the data collection stage is a potential source of errors and missing values. As a result, the important role of statistical data editing, and the amount of resources involved, has motivated considerable research efforts to enhance the efficiency and effectiveness of this process. Handbook of Statistical Data Editing and Imputation equips readers with the essential statistical procedures for detecting and correcting inconsistencies and filling in missing values with estimates. The authors supply an easily accessible treatment of the existing methodology in this field, featuring an overview of common errors encountered in practice and techniques for resolving these issues. The book begins with an overview of methods and strategies for statistical data editing and imputation. Subsequent chapters provide detailed treatment of the central theoretical methods and modern applications, with topics of coverage including: Localization of errors in continuous data, with an outline of selective editing strategies, automatic editing for systematic and random errors, and other relevant state-of-the-art methods Extensions of automatic editing to categorical data and integer data The basic framework for imputation, with a breakdown of key methods and models and a comparison of imputation with the weighting approach to correct for missing values More advanced imputation methods, including imputation under edit restraints Throughout the book, the treatment of each topic is presented in a uniform fashion. Following an introduction, each chapter presents the key theories and formulas underlying the topic and then illustrates common applications. The discussion concludes with a summary of the main concepts and a real-world example that incorporates realistic data along with professional insight into common challenges and best practices. Handbook of Statistical Data Editing and Imputation is an essential reference for survey researchers working in the fields of business, economics, government, and the social sciences who gather, analyze, and draw results from data. It is also a suitable supplement for courses on survey methods at the upper-undergraduate and graduate levels.

Are you an iMovie or Final Cut Express user ready to make the jump to Final Cut Pro? If so, look no further. Take your movies to the next level with this easy-to-follow, hand-on guide from one of the preeminent Apple trainers in the world today. Author Tom Wolsky starts with the basics of Final Cut Pro X, allowing you to easily make the leap from Final Cut Express or iMovie, then gradually introduces you to more complex techniques with step-by-step tutorials. Tom specifically shows you how certain techniques and concepts you utilized in iMovie and Final Cut Express translate to Final Cut Pro. More than a button-pushing manual, this editing workshop gives your firsthand experience with the art and technique of editing with Final Cut Pro. It includes in-depth information on the application's features, interface elements, and tools. You will develop a working knowledge of the principles and methods taught in film schools with tutorials that covers the essentials: • Nuances of system set-up to ensure smooth operation • Getting your tape-based and file-based AVCHD and DSLR media into Final Cut Pro and getting it organized • Editing to build and trim a sequence of shots • Working with audio, split edits, back-timing and level control • Adding transitions • Final Cut Pro titling tools • Color correction, image animation, and special effects • Compositing to enhance your projects • Outputting your material

Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V's of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology. Veracity of Big Data serves as an introduction to machine learning algorithms and diverse techniques such as the Kalman filter, SPRT, CUSUM, fuzzy logic, and Blockchain, showing how they can be used to solve problems in the veracity domain. Using examples, the math behind the techniques is explained in easy-to-understand language. Determining the truth of big data in real-world applications involves using various tools to analyze the available information. This book delves into some of the techniques that can be used. Microblogging websites such as Twitter have played a major role in public life, including during presidential elections. The book uses examples of microblogs posted on a particular topic to demonstrate how veracity can be examined and established. Some of the techniques are described in the context of detecting veiled attacks on microblogging websites to influence public opinion. -- Back cover.

At the heart of Apple's hugely popular iLife software suite—iMovie, iPhoto, iDVD, GarageBand, and iTunes—is QuickTime, the powerful media engine that drives elegant applications for managing movies, images, and audio files. The enduring success of QuickTime is in no small part attributable to its component architecture. This key feature has allowed it to embrace emerging digital media technologies and standards one by one as they have appeared over the 12 or so years since its launch. None of the competing technologies even comes close, let alone on both Mac OS X and Windows.QuickTime for .NET and COM Developers is the first guide to QuickTime for developers using popular RAD tools such a Visual Basic .NET, C#, and Visual Basic 6. A general introduction to QuickTime is followed by a detailed explanation of the QuickTime architecture from a.NET and COM perspective, liberally accompanied by code snippets. A number of implementation examples illustrate key QuickTime features, ranging from a simple movie player to a sophisticated interactive application. Also covered is QuickTime scripting in both QuickTime Player (using Windows Scripting) and in Microsoft Office applications (using VBA). Brief guides to developing with QuickTime in Delphi and ATL/WTL are also included.Part of the official Quicktime Developer Series, publishing the finest books on QuickTime in cooperation with Apple. * The first book on QuickTime for .NET and COM application and scripting developers* Written by one of the architects of Apple's QuickTime ActiveX/COM control* Offers numerous sample applications and code examples

This book examines the complex roles that texts serve as parts of an organizational cognitive infrastructure. Texts make knowledge and experience tangible and durable. They help shape interactions between people. As professions have become more writing-centered in recent decades, many organizations have instituted writing review practices to help newcomers produce better writing and thus become more effective organizational citizens.Dr. Swarts examines those writing review practices and questions whether available supportive technologies adequately prepare professional writers and professionals who write to appreciate the complex functions their texts serve. He reports on a study of the impact of two technologies (paper text and textual replay) on writing review. Unlike paper, which presents texts in a static form, textual replay presents texts as the products of writing practices. Textual replay records onscreen writing activity and creates a video that writers and reviewers use to supplement their discussion of revisions. Introduction Chapter 1: Texts and Knowledge Work Discusses texts and their importance to organizations. Texts make knowledge tangible, promote learning, support adaptation, encourage coordination, and support cognitive tasks. Chapter 2: Writing Review and Mediation Discusses the dual purpose for writing review: to produce better texts and better writers. Considers how this work is offloaded to people and technologies. Chapter 3: Affordances of Texts and Textual Technologies Discusses the socio-cognitive affordances of texts in paper and electronic form. Questions the suitability of paper text for writing review, instead promoting textual replay. Chapter 4: Study Design and Data Analysis Discusses the design of a study to test whether paper or textual replay helps writers produce better writing and better organization-specific writing practices. Chapter 5: Differences between Text and Textual Replay Mediation Discusses the differences between text and textual replay mediation use in five organizations. Textual replay helps writers and reviewers focus on writing process. Chapter 6: Textual Replay in Practice-Oriented Organizations Discusses use of textual replay in organizations that employ professional writers. Textual replay helps promote cooperative writing and discussion of process. Chapter 7: Textual Replay in Artifact-Oriented Organizations Discusses use of textual replay in organizations that employ \"non-writers\". Textual replay promotes contextualization of texts as organizationally-significant artifacts. Process is coordinated with organizational demands. Chapter 8: Designing Technology to Support Practice Summarizes findings from the study and explores ways to use these findings to further the design of writing review technologies. The author offers some suggestions.