Data Analytics and Visualization in Quality Analysis using Tableau
暫譯: 使用 Tableau 進行品質分析的數據分析與視覺化
Hwang, Jaejin, Yoon, Youngjin
- 出版商: CRC
- 出版日期: 2021-07-28
- 售價: $4,070
- 貴賓價: 9.5 折 $3,867
- 語言: 英文
- 頁數: 208
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367744147
- ISBN-13: 9780367744144
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相關分類:
Data-visualization、Data Science
海外代購書籍(需單獨結帳)
相關主題
商品描述
Data Analytics and Visualization in Quality Analysis using Tableau goes beyond the existing quality statistical analysis. It helps quality practitioners perform effective quality control and analysis using Tableau, a user-friendly data analytics and visualization software. It begins with a basic introduction to quality analysis with Tableau including differentiating factors from other platforms. It is followed by a description of features and functions of quality analysis tools followed by step-by-step instructions on how to use Tableau. Further, quality analysis through Tableau based on open source data is explained based on five case studies. Lastly, it systematically describes the implementation of quality analysis through Tableau in an actual workplace via a dashboard example.
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
This book is aimed at professionals, graduate students and senior undergraduate students in industrial systems and quality engineering, process engineering, systems engineering, quality control, quality assurance and quality analysis.
商品描述(中文翻譯)
《使用 Tableau 進行品質分析的數據分析與可視化》超越了現有的品質統計分析。它幫助品質從業人員使用用戶友好的數據分析與可視化軟體 Tableau 進行有效的品質控制與分析。本書首先介紹了使用 Tableau 進行品質分析的基本概念，包括與其他平台的區別因素。接著描述了品質分析工具的特性和功能，並提供了逐步指導如何使用 Tableau。此外，基於開源數據的 Tableau 品質分析透過五個案例研究進行說明。最後，系統性地描述了如何在實際工作場所中通過 Tableau 實施品質分析，並提供了一個儀表板範例。
特點：
- 描述了 Tableau 的逐步方法，以有效應用數據可視化技術於品質分析
- 專注於實用品質分析的可視化方法
- 提供使用最先進概念和應用的品質分析主題的全面覆蓋
- 說明適用於現實世界和商業案例的實用實施方法論和指導
- 包含可自訂的 Tableau 儀表板的現成範本示例
本書旨在針對工業系統與品質工程、流程工程、系統工程、品質控制、品質保證及品質分析的專業人士、研究生及高年級本科生。
作者簡介
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.
作者簡介(中文翻譯)
黃在進是北伊利諾伊大學工業與系統工程的助理教授。他在亞州大學獲得工業與系統工程的學士及碩士學位，並在俄亥俄州立大學獲得工業與系統工程的博士學位。他的研究和教學興趣包括統計品質控制、工程統計、可靠性工程、工作測量與設計、人因工程及職業生物力學。他已發表超過50篇技術論文，包括同行評審的期刊文章和國際會議論文。他曾獲得韓國工業工程師協會的Bagam Paper Award。他是國際職業人因工程與安全學會的執行委員會成員，並擔任期刊Work: A Journal of Prevention, Assessment & Rehabilitation的編輯委員會成員。他也是International Journal of Environmental Research and Public Health (Special Issue)的客座編輯。
尹永進是Pitney Bowes的IT保證團隊領導，曾在德勤擔任顧問，擁有超過10年的廣泛全球經驗（美國及亞洲），專注於制定和執行與商業目標一致的策略。他在25家以上的跨國公司中參與多樣的顧問專案，並成功按時高效地完成專案。他在韓國大學獲得計算機科學教育的學士學位，在聖路易斯華盛頓大學獲得MBA學位，並在哈里斯堡科技大學獲得專案管理碩士學位。他的興趣包括商業策略與運營、數據分析與可視化、第四次工業革命技術及風險管理。他是一位自我驅動的創作者、故事講述者、創新者，並擅長通過影響、激勵和交付成果來領導團隊。
