Data Science For Sensory And Consumer Scientists

"This book introduces data science to sensory and consumer scientists working inside large organizations and who have backgrounds in fields as diverse as food science, psychology, marketing, and chemical engineering. The intended audience members typically hold graduate degrees in their subject matters of expertise, have some training in statistics, but have little to no background in computer science or data science. The worldwide digital transformation is requiring all scientists to leverage the introductory skills of computer science, usually in the form of data science, in order to automate processes and record the steps of their research in a reproducible manner. Scientists who learn to leverage such tools become much more efficient and productive, often achieving new insights. This book is intended for use by sensory and consumer scientists in industry as well as for use in graduate programs for sensory science"--

Data Science for Sensory and Consumer Scientists is a comprehensive textbook that provides a practical guide to using data science in the field of sensory and consumer science through real-world applications. It covers key topics including data manipulation, preparation, visualization, and analysis, as well as automated reporting, machine learning, text analysis, and dashboard creation. Written by leading experts in the field, this book is an essential resource for anyone looking to master the tools and techniques of data science and apply them to the study of consumer behavior and sensory-led product development. Whether you are a seasoned professional or a student just starting out, this book is the ideal guide to using data science to drive insights and inform decision-making in the sensory and consumer sciences. Key Features: • Elucidation of data scientific workflow. • Introduction to reproducible research. • In-depth coverage of data-scientific topics germane to sensory and consumer science. • Examples based in industrial practice used throughout the book

As we move further into the 21st Century, sensory and consumer studies continue to develop, playing an important role in food science and industry. These studies are crucial for understanding the relation between food properties on one side and human liking and buying behaviour on the other. This book by a group of established scientists gives a comprehensive, up-to-date overview of the most common statistical methods for handling data from both trained sensory panels and consumer studies of food. It presents the topic in two distinct sections: problem-orientated (Part I) and method orientated (Part II), making it to appropriate for people at different levels with respect to their statistical skills. This book succesfully: Makes a clear distinction between studies using a trained sensory panel and studies using consumers. Concentrates on experimental studies with focus on how sensory assessors or consumers perceive and assess various product properties. Focuses on relationships between methods and techniques and on considering all of them as special cases of more general statistical methodologies It is assumed that the reader has a basic knowledge of statistics and the most important data collection methods within sensory and consumer science. This text is aimed at food scientists and food engineers working in research and industry, as well as food science students at master and PhD level. In addition, applied statisticians with special interest in food science will also find relevant information within the book.

Individual Differences in Sensory and Consumer Science: Experimentation, Analysis and Interpretation presents easily readable, state-of-the-art coverage on how to plan and execute experiments that give rise to individual differences, also providing the framework for successful analysis and interpretation of results. The book highlights the different methodologies that can be applied and how to select the correct methodology based on the type of study you are performing, be it product research and development, quality control or consumer acceptance studies. Written by an experienced team of statisticians and sensory and consumer scientists, the book provides both academics and industry professionals with the first complete overview of a topic of ever-increasing importance. Identifies how to plan and execute experiments in sensory and consumer science Analyzes and interprets individual variances in sensory and consumer research Differentiates best practices for examining product development, quality control and consumer acceptance

Now in its sixth printing, this book is a must-have tool for professionals in product testing, consumer research, and advertising claims support. It contains our most significant and useful technical reports from the last 20 years. Readers will easily relate to the problems and solutions in each 2-page scenario. And for deeper study, the reader will find a list of published papers on a variety of related subjects. Drs. Daniel Ennis, Benoît Rousseau and John Ennis use their combined expertise to guide readers through problems in areas such as: Difference Tests Rating and Rankings Claims Support Drivers of Liking® and Landscape Segmentation Analysis® (LSA) Optimizing Product Portfolios Probabilistic Multidimensional Scaling Combinatorial Tools Designing Tests and Surveys The technical content behind each scenario has been kept to a minimum so that ideas can be absorbed easily, but there is plenty of opportunity to pursue each account in more detail. Examples range from dairy products to beverages and fragrance products and are designed to appeal to a broad audience in the product research field. 27 tables for product testing methods have been included so the reader can interpret results from discrimination methodologies such as the tetrad test, the triangle test, the same-different method, the duo-trio test, replicated testing, and others. 186 pages, $95, plus shipping and 5.3% VA sales tax, where applicable for print copy. To order print copies of this book, please call (804) 675-2980 or visit www.ifpress.com.

The state-of-the-art of multivariate analysis in sensory science is described in this volume. Both methods for aggregated and individual sensory profiles are discussed. Processes and results are presented in such a way that they can be understood not only by statisticians but also by experienced sensory panel leaders and users of sensory analysis. The techniques presented are focused on examples and interpretation rather than on the technical aspects, with an emphasis on new and important methods which are possibly not so well known to scientists in the field. Important features of the book are discussions on the relationship among the methods with a strong accent on the connection between problems and methods. All procedures presented are described in relation to sensory data and not as completely general statistical techniques. Sensory scientists, applied statisticians, chemometricians, those working in consumer science, food scientists and agronomers will find this book of value.

Digital Sensory Science: Applications in New Product Development provides a comprehensive overview of digital sensory science, an area that has broadly been defined as the use of technology to capture or model human sensory perception. This book provides methods on how to best recruit and train sensory panels, suggestions for data capture and data analysis, an overview of sensory science instruments, and information on the use and relevance of virtual and augmented reality to capture sensory perception. This book offers practical guidance to researchers in and practitioners of sensory and consumer science alike. Explores how technologies create further opportunities around the use of sensory panels, instrumentation and flavor, biometrics and implicit measures, immersion and context, and communication of sensory findings Presents these opportunities with case studies Provides guidance for both researchers and practitioners of sensory science in a digital age

A Practical Guide to Sensory and Consumer Evaluations a single resource for those new to sensory science and consumer evaluation, teaching them how to confidently select a method, conduct research, and report the results. Written by one of the world's leading sensory scientists, this book delivers a practical, hands-on approach to answering sensory and consumer evaluation questions. Each chapter is organized around a key practical question stated at the outset. Rather than providing a number of approaches which tend to confuse the reader, the book delivers a step-by-step guide to the specific challenge, with any variations in methods explained within the context of problem-solving. In addition, each method has real-life, worked example taken from the archives of CompuSense, a world leading sensory science laboratory. A series of appendixes covering 'How do I' topics provides practical guidance to larger questions on organizing, conducting, and reporting the results of sensory tests. Many sensory and consumer practitioners do not receive formal training in the operations side of sensory. For those who don't have the time or the need for a broad-based education in the field, this book is an effective, reliable, and practical guide to achieve valuable answers to sensory and consumer research questions. Presents answers to the various questions of sensory and consumer evaluation professionals from one of the world's leading sensory scientists Offers practical insights, permitting someone new to the topic to confidently select a method, conduct research, and report results Provides worked, real-world examples of sensory and consumer research projects from leading sensory science laboratories of CompuSense

During the past thirty years, companies have recognized the consumer as the key driver for business and product success. This recognition has, in turn, generated its own drivers: sensory analysis and marketing research, leading first to a culture promoting the expert and then evolving into the systematic acquisition of consumer-relevant information to build businesses. Sensory and Consumer Research in Food Product Design and Development is the first book to present, from the business viewpoint, the critical issues faced by business leaders from both the research development and business development perspective. This popular volume, now in an updated and expanded second edition, presents a unique perspective afforded by the author team of Moskowitz, Beckley, and Resurreccion: three leading practitioners in the field who each possess both academic and business acumen. Newcomers to the field will be introduced to systematic experimentation at the very early stages, to newly emerging methods for data acquisition/knowledge development, and to points of view employed by successful food and beverage companies. The advanced reader will find new ideas, backed up by illustrative case histories, to provide another perspective on commonly encountered problems and their practical solutions. This book is aimed at professionals in all sectors of the food and beverage industry. Sensory and Consumer Research in Food Product Design and Development is especially important for those business and research professionals involved in the early stages of product development, where business opportunity is often the greatest.

Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. It emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. Based on educational research and active learning principles, the book uses a modern approach to Python and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The text will leave readers well-prepared for data science projects. It is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates at the University of British Columbia. Key Features: Includes autograded worksheets for interactive, self-directed learning. Introduces readers to modern data analysis and workflow tools such as Jupyter notebooks and GitHub, and covers cutting-edge data analysis and manipulation Python libraries such as pandas, scikit-learn, and altair. Is designed for a broad audience of learners from all backgrounds and disciplines.