Catherine Marsh Jane Elliott Exploring Data An Introduction To Data Analysis For Social Scientists
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Exploring Data
This book develops a distinctive and novel approach to data analysis, while at the same time providing a basic text accessible to students with no prior knowledge of the subject. The techniques upon which the book is based are founded upon modes of data analysis which have recently profoundly changed statistical development, which this book introduces to a general audience. The examples used to illustrated the techniques described are all real ones, drawn from important social research over the past decade, and designed to illuminated interesting and significant sociological and political debates. Most of the material employed relates in some way to issues of inequality in British society. Charts, tables and graphs.
Big Data: Concepts, Methodologies, Tools, and Applications
Author: Management Association, Information Resources
language: en
Publisher: IGI Global
Release Date: 2016-04-20
The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.