Author: Publisher:
ISBN:
Category : Marketing
Languages : en
Pages : 466
Book Description
Distribution Data Guide
Author: Distribution Data Guide
Author: Making Sense of Data
Author: Glenn J. MyattPublisher: John Wiley & Sons
ISBN: 0470101016
Category : Mathematics
Languages : en
Pages : 294
Book Description
A practical, step-by-step approach to making sense out of data Making Sense of Data educates readers on the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project. The author provides clear explanations that guide the reader to make timely and accurate decisions from data in almost every field of study. A step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. With a comprehensive collection of methods from both data analysis and data mining disciplines, this book successfully describes the issues that need to be considered, the steps that need to be taken, and appropriately treats technical topics to accomplish effective decision making from data. Readers are given a solid foundation in the procedures associated with complex data analysis or data mining projects and are provided with concrete discussions of the most universal tasks and technical solutions related to the analysis of data, including: * Problem definitions * Data preparation * Data visualization * Data mining * Statistics * Grouping methods * Predictive modeling * Deployment issues and applications Throughout the book, the author examines why these multiple approaches are needed and how these methods will solve different problems. Processes, along with methods, are carefully and meticulously outlined for use in any data analysis or data mining project. From summarizing and interpreting data, to identifying non-trivial facts, patterns, and relationships in the data, to making predictions from the data, Making Sense of Data addresses the many issues that need to be considered as well as the steps that need to be taken to master data analysis and mining.
Statistics 101
Author: David BormanPublisher: Simon and Schuster
ISBN: 1507208189
Category : Mathematics
Languages : en
Pages : 240
Book Description
A comprehensive guide to statistics—with information on collecting, measuring, analyzing, and presenting statistical data—continuing the popular 101 series. Data is everywhere. In the age of the internet and social media, we’re responsible for consuming, evaluating, and analyzing data on a daily basis. From understanding the percentage probability that it will rain later today, to evaluating your risk of a health problem, or the fluctuations in the stock market, statistics impact our lives in a variety of ways, and are vital to a variety of careers and fields of practice. Unfortunately, most statistics text books just make us want to take a snooze, but with Statistics 101, you’ll learn the basics of statistics in a way that is both easy-to-understand and apply. From learning the theory of probability and different kinds of distribution concepts, to identifying data patterns and graphing and presenting precise findings, this essential guide can help turn statistical math from scary and complicated, to easy and fun. Whether you are a student looking to supplement your learning, a worker hoping to better understand how statistics works for your job, or a lifelong learner looking to improve your grasp of the world, Statistics 101 has you covered.
Mind On Statistics 3rd Edition
Author: Robert F. HeckardPublisher:
ISBN: 9780495019299
Category :
Languages : en
Pages : 770
Book Description
Handbook of Beta Distribution and Its Applications
Author: Arjun K. GuptaPublisher: CRC Press
ISBN: 9780824753962
Category : Mathematics
Languages : en
Pages : 594
Book Description
A milestone in the published literature on the subject, this first-ever Handbook of Beta Distribution and Its Applications clearly enumerates the properties of beta distributions and related mathematical notions. It summarizes modern applications in a variety of fields, reviews up-and-coming progress from the front lines of statistical research and practice, and demonstrates the applicability of beta distributions in fields such as economics, quality control, soil science, and biomedicine. The book discusses the centrality of beta distributions in Bayesian inference, the beta-binomial model and applications of the beta-binomial distribution, and applications of Dirichlet integrals.
Information 2.0
Author: Martin De SaullesPublisher: Facet Publishing
ISBN: 1783300094
Category : Language Arts & Disciplines
Languages : en
Pages : 177
Book Description
This textbook provides an overview of the digital information landscape and explains the implications of the technological changes for the information industry, from publishers and broadcasters to the information professionals who manage information in all its forms. This fully-updated second edition includes examples of organizations and individuals who are seizing on the opportunities thrown up by this once-in-a-generation technological shift providing a cutting-edge guide to where we are going both as information consumers and in terms of broader societal changes. Each chapter explores aspects of the information lifecycle, including production, distribution, storage and consumption and contains case studies chosen to illustrate particular issues and challenges facing the information industry. One of the key themes of the book is the way that organizations, public and commercial, are blurring their traditional lines of responsibility. Amazon is moving from simply selling books to offering the hardware and software for reading them. Apple still makes computer hardware but also manages one of the world’s leading marketplaces for music and software applications. Google maintains its position as the most popular internet search engine but has also digitized millions of copies of books from leading academic libraries and backed the development of the world’s most popular computing platform, Android. At the heart of these changes are the emergence of cheap computing devices for decoding and presenting digital information and a network which allows the bits and bytes to flow freely, for the moment at least, from producer to consumer. While the digital revolution is impacting on everyone who works with information, sometimes negatively, the second edition of Information 2.0 shows that the opportunities outweigh the risks for those who take the time to understand what is going on. Information has never been more abundant and accessible so those who know how to manage it for the benefit of others in the digital age will be in great demand. Readership: Students taking courses in library and information science, publishing and communication studies, with particular relevance to core modules exploring the information society and digital information. Academics and practitioners who need to get to grips with the new information environment.
Fundamentals of Data Visualization
Author: Claus O. WilkePublisher: O'Reilly Media
ISBN: 1492031054
Category : Computers
Languages : en
Pages : 390
Book Description
Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book’s visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story
Applying and Interpreting Statistics
Author: Glen McPhersonPublisher: Springer Science & Business Media
ISBN: 1475734352
Category : Mathematics
Languages : en
Pages : 664
Book Description
This book describes the basis, application, and interpretation of statistics, and presents a wide range of univariate and multivariate statistical methodology. The Second Edition retains the unique feature of being written from the users' perspective; it connects statistical models and methods to investigative questions and background information, and connects statistical results with interpretations in plain English. In keeping with this approach, methods are grouped by usage rather than by commonality of statistical methodology.
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