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Data Analytics and Visualization in Quality Analysis using Tableau [Paperback]

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  • Category: Books (Computers)
  • Author:  Hwang, Jaejin, Yoon, Youngjin
  • Author:  Hwang, Jaejin, Yoon, Youngjin
  • ISBN-10:  0367744163
  • ISBN-10:  0367744163
  • ISBN-13:  9780367744168
  • ISBN-13:  9780367744168
  • Publisher:  CRC Press
  • Publisher:  CRC Press
  • Pages:  222
  • Pages:  222
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  0367744163-11-MPOD
  • SKU:  0367744163-11-MPOD
  • Item ID: 106974037
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 10 to Oct 12
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

Chapter 1: Introduction

Chapter 2: Commonly Used Quality Analysis Tools with Tableau

Chapter 3: Quality Dashboard

Chapter 4: Case Studies

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.

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 implementatil£'
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