Data Analytics and Visualization in Quality Analysis using 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: [list] [\*]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 [/list] 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. Cover Half Title Title Page Copyright Page Contents Preface Acknowledgments About the Authors 1. Introduction Chapter Overview and Expected Learning Outcomes 1.1 Basic Concepts in Quality Analysis 1.2 What Is Tableau? 1.3 How to Leverage Tableau in Quality Analysis Reference 2. Basic Quality Tools with Tableau Chapter Overview and Expected Learning Outcomes What Is the Chart? Tableau Categorizing Fields 2.1 Stacked Bar Chart 2.1.1 Introduction of Stacked Bar Chart 2.1.2 Tableau Example 2.2 Histogram 2.2.1 Introduction of Histogram 2.2.2 Tableau Example 2.3 Butterfly Chart 2.3.1 Introduction of Butterfly Chart 2.3.2 Tableau Example 2.4 Donut Chart 2.4.1 Introduction of Donut Chart 2.4.2 Tableau Example 2.5 Scatter Plot 2.5.1 Introduction of Scatter Plot 2.5.2 Tableau Example 2.6 Bubble Chart 2.6.1 Introduction of Bubble Chart 2.6.2 Tableau Example 2.7 Box Plot 2.7.1 Introduction of Box Plot 2.7.2 Tableau Example 2.8 Pareto Chart 2.8.1 Introduction of Pareto Chart 2.8.2 Tableau Example 2.9 Bump Chart 2.9.1 Introduction of Bump Chart 2.9.2 Tableau Example 2.10 Maps 2.10.1 Introduction of Maps 2.10.2 Tableau Example 2.11 Gantt Chart 2.11.1 Introduction of Gantt chart 2.11.2 Tableau Example 2.12 Control Chart for Variables 2.12.1 Introduction of Control Chart for Variables 2.12.2 Tableau Example 2.12.3 R Chart 2.12.4 X-bar Chart 2.13 Control Chart for Attributes 2.13.1 Introduction of Control Chart for Attributes 2.13.2 Tableau Example Note Reference 3. Quality Dashboard Chapter Overview and Expected Learning Outcomes 3.1 What Is a Dashboard? 3.2 Dashboard Type 3.3 Dashboard Design Approach 3.4 Healthcare Quality Dashboard 3.5 Airline Quality Dashboard 3.6 Manufacturing Quality Dashboard 3.7 Warehouse Quality Dashboard 4. Case Studies Chapter Overview and Expected Learning Outcomes 4.1 Case Studies and Data Storytelling 4.1.1 Goal 4.1.2 Audience 4.1.3 Message 4.1.4 Engagement 4.2 Red Wine Quality (Case 1) 4.2.1 Introduction of Dataset 4.2.2 Tableau Example Tableau Dashboard and Data Storytelling Goal Audience Message Engagement 4.3 Airline Passenger Satisfaction (Case 2) 4.3.1 Introduction of Dataset 4.3.2 Tableau Example Tableau Dashboard and Data Storytelling Goal Audience Message Engagement 4.4 Driverless Car Failure (Case 3) 4.4.1 Introduction of Dataset 4.4.2 Tableau Example Tableau Dashboard and Data Storytelling Goal Audience Message Engagement 4.5 Real Time Voice Call Quality Data from Customers (Case 4) 4.5.1 Introduction of Dataset 4.5.2 Tableau Example Average Call Quality Rate per Operator Average Quality Rate per Region (1) Average Quality Rate per Region (2) Average Quality Rate per Network Tableau Dashboard and Data Storytelling Goal Audience Message Engagement 4.6 Brewery Production (Case 5) 4.6.1 Introduction of Dataset 4.6.2 Tableau Example Tableau Dashboard and Data Storytelling Goal Audience Message Engagement 4.7 Seoul Bike Sharing Demand (Case 6) 4.7.1 Introduction of Dataset 4.7.2 Tableau Example Tableau Dashboard and Data Storytelling Goal Audience Message Engagement Reference Index Data Visualization Using The Software Aids In Quality Analysis, Going Beyond The Existing Quality Statistical Analysis. The Purpose Of This Book Is To Help Quality Practitioners Perform Effective Quality Control And Analysis Using Tableau, A User-friendly Data Analytics And Visualization Software. It Initiates With Basic Introduction To Quality Analysis With Tableau Including Differentiating Factors From Other Platforms. It Is Followed By Description Of Features And Functions Of Quality Analysis Tools Followed By Step-by-step Instructions 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 The Quality Analysis Through Tableau In 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 Visualization Approach For Practical Quality Analysis. Provides Comprehensive Coverage Of Quality Subjects 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 Aims At Professionals, Graduate Students And Senior Under-graduate Students In Industrial Systems And Quality Engineering, Process Engineering, Systems Engineering, Quality Control, Quality Assurance And Quality Analysis. 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.