Data Storytelling and Visualization with Tableau: A Hands-on Approach
With the tremendous growth and availability of the data, this book covers understanding of the data, while telling a story with visualization including basic concepts about the data, the relationship, and the visualizations. All the technical details that include installation and building the different visualizations are explained in clear and systematic way. Various aspects pertaining to storytelling and visualization are explained in the book through Tableau.
- Provides a hands-on approach in Tableau in a simplified manner with steps.
- Discusses the broad background of data and its fundamentals, Internet of everything to analytics.
- Emphasizes the use of context in delivering the stories.
- Presents case studies with building of a dashboard.
- Presents application areas and case studies with identification of the impactful visualization.
This book aims at Professionals, Graduate students and senior under-graduate students in Manufacturing Engineering, Civil and Mechanical Engineering, Data Analytics, and Data Visualization.
Cover Half Title Title Page Copyright Page Contents Preface About the Authors 1. Introduction 1.1. Internet to Internet of Everything (IoE) 1.2. Big Data, Properties and Analytics 1.3. Issues and Challenges 1.4. Conclusion References 2. Data Storytelling 2.1. Overview 2.2. Communicating with Data 2.3. Storytelling Context 2.4. Case Studies 2.5. Conclusion References 3. Data Visualization 3.1. Need for Visualization 3.2. Communicating Visually 3.2.1. About the Audience 126.96.36.199. Tools to Communicate Visually 3.3. Visualization Myths and Reality 3.3.1. Creating Viz Is Very Easy 3.3.2. Viz Is All about Making Data Look Fancy Pictorially 3.3.3. Creation of Viz Is an Elaborate and Expensive Process 3.4. Ethics in Visualization 3.5. Right Graph for Right Data 3.6. Visualization for Storytelling 3.7. Conclusion References 4. Visualization with Tableau 4.1. Overview 4.1.1. About Tableau 4.1.2. Using Tableau 4.1.3. About Workbook 4.2. Functional Components 4.2.1. Measures and Dimensions 4.2.2. Rows and Columns 4.2.3. Pages, Filters and Marks 4.3. Types of Visualizations 4.3.1. Bar Chart 4.3.2. Line Charts 4.3.3. Heat Maps and Highlight Tables 4.4. Calculated Fields and Null Values 4.5. Interactive Dashboard 4.6. Creating Stories - A Case Study 4.6.1. Understanding the Type of Graph 4.7. Conclusion References 5. Conclusion 5.1. Summary 5.2. Business Intelligence 5.3. Research Openings and Future Outlook Index
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