Access and clean up data easily using JMP®! Data acquisition and preparation commonly consume approximately 75% of the effort and time of total data analysis. JMP provides many visual, intuitive, and
Data is revolutionizing the way we all do business. Every business is now a data business and needs a robust Data Strategy. However less than 0.5% of all data is ever analysed and used, offering huge
This book comes up with estimates or decisions based on multiple data sources as opposed to more narrowly defined estimates or decisions based on single data sources. And as the world is awash with da
Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools n
Data Science For Dummies 2nd Edition begins by explaining large data sets and data formats, including sample Python code for manipulating data. The book explains how to work with relational databases
Find errors and clean up data easily using SAS®! Thoroughly updated, Cody's Data Cleaning Techniques Using SAS, Third Edition, addresses tasks that nearly every data analyst needs to do - that is, mak
This volume introduces a series of different data-driven computational methods for analyzing group processes through didactic and tutorial-based examples. A number of data-driven methods adapted to gr
This is a book about the scientific process and how it is applied to data in ecology. We will learn how to plan for data collection, how to assemble data, how to analyse data and finally how to presen
This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data, how to analyze data and finally how to presen
The Data Journalist: Getting the Story is the definitive introduction to using data and technology in reporting for both journalism students and working practitioners. The text covers both the basics
Changing industry trends—cloud computing, mobile computing, big data, and the ascendency of virtualization—have made a staggering impact on data recovery requirements. This book arms readers with info
Needed Relationships and Psychoanalytic Healing is both a personal analytic credo and a multidimensional approach to thinking about clinical interaction. The book’s central theme is that of analytic n
Needed Relationships and Psychoanalytic Healing is both a personal analytic credo and a multidimensional approach to thinking about clinical interaction. The book’s central theme is that of analytic n
In this volume of The ANNALS the task of linking a broad supply of information—from administrative data, to social media, to census and surveys, to ethnographic data, to data from randomized con
This book provides a systematic examination of the relationship between industrial clusters and poverty, which is analyzed using a multidimensional framework. It examines the often-neglected concept o
Parietti addresses one of the most important topic scrutinized by the scholars of International Business. Distance between two countries is a multidimensional concept, including not only a geographica
The Handbook of Traumatic Loss adopts a broad, holistic approach that recognizes traumatic loss much more fully as a multidimensional human phenomenon, not simply a medical condition. Initial chapters
The Handbook of Traumatic Loss adopts a broad, holistic approach that recognizes traumatic loss much more fully as a multidimensional human phenomenon, not simply a medical condition. Initial chapters
This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive e
This volume discusses the importance of a multidimensional and multidisciplinary approach to Christian formation based upon godly love and the imago Dei (Latin, image of God). Grounded biblically and
Panel data is a data type increasingly used in research in economics, social sciences, and medicine. Its primary characteristic is that the data variation goes jointly over space (across individuals,
The author analyzes the multi-layered and multidimensional theme of identity construction recurring in Tony Harrison’s work from the seventies onwards looking at the way it evolved throughout the year
Missing data in longitudinal clinical trials has justifiably been the target of considerable research. However, missing data is just one of the many considerations in the analysis of longitudinal data
EU Privacy and Data Protection Law contains extensive annotations and acts as a guide to the EU's proposed General Data Protection Regulation. EU Privacy and Data Protection Law covers: An analysis of
This volume presents analyses of data protection systems and of 26 jurisdictions with data protection legislation in Africa, as well as additional selected countries without comprehensive data protect
Python Data Science Handbook provides a reference to the solutions of commonly seen computational problems for both traditional and data scientists who use Python to enable their research. These scie
The EU's General Data Protection Regulation created the position of corporate Data Protection Officer (DPO), who is empowered to ensure the organization is compliant with all aspects of the new data p
Second EditionImmunohistochemistry and ImmunocytochemistryEssential MethodsImmunohistochemistry and immunocytochemistry are invaluable tools for the visualization of tissue and cellular antigens in di
Guiding chromatographers working in regulated industries and helping them to validate their chromatography data systems to meet data integrity, business and regulatory needs. This book is a detailed l
This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn
While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data.
Most environmental data involve a large degree of complexity and uncertainty. Environmental Data Analysis is created to provide modern quantitative tools and techniques designed specifically to meet t
Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms of systems biology by system identification and big data mining method
Data Management will guide readers through data management basics and best practices following through the data lifecycle. Guidance for starting and growing a data management service includes suggesti
This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. I
This book explores diverse communities living in Central Asia and the Caucasus, who are generally gathered under the umbrella term of ‘Gypsies’, their multidimensional identities, self-appellations an
Terry Patten asserts that we are living at the center of a multidimensional and radical revolution. Recasting current problems as emergent opportunities, he points out humans' natural tendency to evol
Optical Interconnects For Data Centers explains the latest information available on current data center networks based on electronic packet switches and how they are experiencing an exponential increa
Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identi
Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identi
