Data Analytics and Visualization in Quality Analysis using Tableau
Autor Jaejin Hwang, Youngjin Yoonen Limba Engleză Hardback – 28 iul 2021
Features:
- Describes a step-by-step method of Tableau to effectively apply data visualization techniques in quality analysis
- Focuses on a visualization approach for practical quality analysis
- Provides comprehensive coverage of quality analysis topics using state-of-the-art concepts and applications
- Illustrates pragmatic implementation methodology and instructions applicable to real-world and business cases
- Include examples of ready-to-use templates of customizable Tableau dashboards
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Specificații
ISBN-13: 9780367744144
ISBN-10: 0367744147
Pagini: 222
Ilustrații: 454
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.44 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 0367744147
Pagini: 222
Ilustrații: 454
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.44 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
Academic and Professional Practice & DevelopmentCuprins
Chapter 1: Introduction
Chapter 2: Commonly Used Quality Analysis Tools with Tableau
Chapter 3: Quality Dashboard
Chapter 4: Case Studies
Chapter 2: Commonly Used Quality Analysis Tools with Tableau
Chapter 3: Quality Dashboard
Chapter 4: Case Studies
Notă biografică
Jaejin Hwang is an assistant professor of Industrial and Systems Engineering at Northern Illinois University. He received his B.E. and M.S. degrees in Industrial and Systems Engineering from Ajou University. He received a Ph.D. degree in Industrial and Systems Engineering from the Ohio State University. His research and teaching interests include statistical quality control, engineering statistics, reliability engineering, work measurement & design, ergonomics, and occupational biomechanics. He has published more than 50 technical papers including peer-reviewed journal articles and international conference proceeding papers. He has received a Bagam Paper Award from the Korean Institute of Industrial Engineers. He is an executive committee member of the International Society for Occupational Ergonomics and Safety. He serves on the editorial board of the journal Work: A Journal of Prevention, Assessment & Rehabilitation. He is a guest editor of the International Journal of Environmental Research and Public Health (Special Issue).
Youngjin Yoon is IT Assurance Team Leader at Pitney Bowes and was Consultant at Deloitte with 10 + years of broad global experience (U.S. and Asia) in developing and executing strategies in alignment with business objectives. He has experience in diverse consulting projects for 25+ multi-national companies with a successful track record of on-time and high-performance project completion. He received his B.S. in Computer Science Education from Korea University, M.B.A. from Washington University in St. Louis, and M.S in Project Management from Harrisburg University of Science and Technology. His interests include business strategy & operation, data analytics & visualization, 4th industrial revolution technologies, and risk management. He is a self-starter, author, storyteller, innovator, and excels at leading teams by influencing, motivating, and delivering results.
Youngjin Yoon is IT Assurance Team Leader at Pitney Bowes and was Consultant at Deloitte with 10 + years of broad global experience (U.S. and Asia) in developing and executing strategies in alignment with business objectives. He has experience in diverse consulting projects for 25+ multi-national companies with a successful track record of on-time and high-performance project completion. He received his B.S. in Computer Science Education from Korea University, M.B.A. from Washington University in St. Louis, and M.S in Project Management from Harrisburg University of Science and Technology. His interests include business strategy & operation, data analytics & visualization, 4th industrial revolution technologies, and risk management. He is a self-starter, author, storyteller, innovator, and excels at leading teams by influencing, motivating, and delivering results.
Descriere
The purpose of this book is to help quality practitioners perform effective quality control and analysis using Tableau software, a user-friendly data analytics and visualization software. It covers basic introduction to quality analysis, features and functions and step-by-step instructions to use Tableau.