Data Analytics And Visualization In Quality Analysis Using Tableau


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Data Analytics and Visualization in Quality Analysis using Tableau


Data Analytics and Visualization in Quality Analysis using Tableau

Author: Jaejin Hwang

language: en

Publisher: CRC Press

Release Date: 2021-07-27


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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.

Data Analytics and Visualization in Quality Analysis Using Tableau


Data Analytics and Visualization in Quality Analysis Using Tableau

Author: Jaejin Hwang

language: en

Publisher:

Release Date: 2023-09-25


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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 Visualization and Storytelling with Tableau


Data Visualization and Storytelling with Tableau

Author: Mamta Mittal

language: en

Publisher: CRC Press

Release Date: 2024-06-28


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Tableau, one of the most widely used visualization tools, helps in illustrating the ideas of data visualization and storytelling. Through Tableau’s Data Visualization and Storytelling feature, aspiring data scientists and analysts can develop their visual analytics skills and use them in both academic and business contexts. Data Visualization and Storytelling with Tableau enables budding data analysts and data scientists to develop and sharpen their skills in the field of visual analytics and apply them in business scenarios as well as in academic context. This book approaches the Data Visualization workflow from a practical point of view, emphasizing the steps involved and the outcomes attained. A major focus of this book is the application and deployment of real-time case studies. Later chapters in this book provide comprehensive coverage for advanced topics such as data storytelling, data insights, color selection in graphs, publishing in tableau public, and misleading visualizations. Thus, this book emphasizes the need to visually examine and evaluate data through stories and interactive dashboards that are made up of appropriate graphs and charts. The case studies covered in this book are a natural extension of the visualization topics that are covered in each chapter. The intention is to empower readers to generate various dashboards, stories, graphs, charts, and maps to visualize and analyze data and support decision-making in business. Advanced charts that are pertinent to project management operations are also thoroughly explored, including comparison charts, distribution charts, composition charts, and maps. All these concepts will lay a solid foundation for data visualization applications in the minds of readers. This book is meant for data analysts, computer scientists/engineers, and industry professionals who are interested in creating different types of visualization graphs for a given data problem and drawing interesting insights from the plotted trends in order to make better business decisions in the future. Features: Introduces the world of Business Intelligence to readers through visualizations in Tableau. Discusses the need and relevance of each business graph with the help of a corresponding real-time case study. Explores the art of picking a suitable graph with an appropriate color scheme for a given scenario. Establishes the process of gaining relevant insights from the analysis of visualizations created. Provides guidance in creating innovative dashboards and driving the readers through the process of innovative storytelling with data in Tableau. Implements the concept of Exploratory Data Analysis (EDA) in Tableau.