Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis.Using real-wor
Data Journalism and the Regeneration of News traces the emergence and flourishing of data journalism through a scholarly lens. It presents evidence of how data journalists are mobilizing discursive, t
Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessar
Bringing together important articles from Psychodynamic Psychiatry, this volume shows how contemporary practitioners are using a multidimensional biopsychosocial approach to increase the robustness of
Many librarians' job responsibilities increasingly require them to understand and handle data. Learn how to be an effective data librarian—even if you never expected to need data skills.• Acquaints re
This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and s
Statistical Methods for Overdispersed Count Data provides a review of the most recent methods and models for such data, including a description of R functions and packages that allow their implementat
The notion of data is increasingly encountered in spatial, creative and cultural studies. Big data and artificial intelligence are significantly influencing a number of disciplines. Processes, methods
This highly practical resource brings new dimensions to the utility of qualitative data in health research by focusing on naturally occurring data. It examines how naturally occurring data complement
This comprehensive textbook deals with multidimensional aspects of macroeconomics through lucid presentation of concepts and critical comparison of different schools of thoughts.Macroeconomi
This SpringerBrief presents a typical life-cycle of mobile data mining applications, including:data capturing and processing which determines what data to collect, how to collect these data,
This book tackles the challenges of how to make sense of qualitative data. It offers students and researchers a hands-on guide to the practicalities of coding, comparing data, and using computer-assis
Bringing together leading experts from the fields of architecture, design, engineering, education and the social sciences, this valuable collection presents a multidimensional understanding of the com
The main objectives of this book are to expose key aspects that have a relevance when dealing with open data viewed from different perspectives and to provide appealing examples of how open data is im
Bringing together leading experts from the fields of architecture, design, engineering, education and the social sciences, this valuable collection presents a multidimensional understanding of the com
Did you know that the value of data usage has increased job opportunities, but that there are few specialists?These days, everyone is aware of the role that data can play, whether it is an election, b
Dr. Wages has written a detailed, well documented book that can serve as an informative resource to create an awareness of the multidimensional and complex issues of poverty.
Dr. Wages has written a detailed, well documented book that can serve as an informative resource to create an awareness of the multidimensional and complex issues of poverty.
"This book outlines the overview of the Big data. It presents the big data components organized as four layers such as: big data sources, data massaging and store layer, analysis layer, and consumptio
This publication showcases the multidimensional benefits of neglected and underutilized species and their potential contribution to achieving Zero Hunger, highlighting the challenges and opportunities
"The data economy" is a term used by many, but properly understood by few. Even more so the concept of "big data". Both terms embody the notion of a digital world in which many transactions and data f
Enjoy reading interviews with more than two dozen data professionals to see a picture of what it’s like to work in the industry managing and analyzing data, helping you to know what it takes to move f
Whether you are a computer programming student, hobbyist or professional, Lambert's FUNDAMENTALS OF PYTHON™: DATA STRUCTURES, 2E offers the perfect introduction to object-oriented design and data stru
This book will focus on the different aspects of handling big data in healthcare. It will showcase the current state-of-the-art technology used for storing health records and health data models. It wi
Dimensions of Human Behavior: The Changing Life Course presents a current and comprehensive examination of human behavior across time using a multidimensional framework. Author Elizabeth D. Hutchison
This book considers local autonomy, measured as a multidimensional concept, from a cross-country comparative perspective, and examines how variations can be explained and what their consequences are.
Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies
To be effective, data-intensive systems require extensive ongoing customization to reflect changing user requirements, organizational policies, and the structure and interpretation of the data they ho
This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and
Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.When designing an enterprise data
Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econometrics, political science, agriculture and epidemi
This book provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big Data comprises two main components: an overview of mobile
Malware Data Science explains how to identify, analyze, and classify large-scale malware using machine learning and data visualization.Security has become a "big data" problem. The growth rate of malw
Inspire the data discussion! Data is a valuable resource for improving education. Unfortunately, many school data teams struggle to make sense of new and often overwhelming data. What Does Your
The military produces, senses, and consumes a tremendous amount of data. Developing ways to effectively leverage these troves of data to enhance operations is a persistent goal. This book
The role of educational developer in the realm of service-learning and community engagement (S-LCE) is multidimensional. Given the potentially transformational nature--for both faculty and students--o
The role of educational developer in the realm of service-learning and community engagement (S-LCE) is multidimensional. Given the potentially transformational nature--for both faculty and students--o
Big Data Solution Architecture provides everyone from CIOs and COOs to lead architects and lead developers with the fundamental concepts of big data development. Authors Ted Malaska and Jonathan Seidm
Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Mult
