1st Edition

Data Storytelling and Visualization with Tableau A Hands-on Approach

    90 Pages 34 B/W Illustrations
    by CRC Press

    With the tremendous growth and availability of the data, this book covers understanding 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 a 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, from the Internet of Everything to analytics
    • Emphasizes the use of context in delivering the stories
    • Presents case studies with the building of a dashboard
    • Presents application areas and case studies with identification of the impactful visualization

    This book will be helpful for professionals, graduate students and senior undergraduate students in Manufacturing Engineering, Civil and Mechanical Engineering, Data Analytics and Data Visualization.

    Chapter 1 Introduction

    1.1 Internet to Internet of everything (IOE)

    1.2 Big Data, properties & analytics

    1.3 Issues and challenges

    1.4 Conclusion

    Chapter 2 Data storytelling

    2.1 Overview

    2.2 Communicating with data

    2.3 Storytelling context

    2.4 Case studies

    2.5 Conclusion

    Chapter 3 Data visualization

    3.1 Need of visualization

    3.2 Communicating visually

    3.3 Visualization myths and realities

    3.4 Ethics in visualization

    3.5 Right graph for right data

    3.6 Visualization for storytelling

    3.7 Conclusion

    Chapter 4 Visualization with Tableau

    4.1 Overview

    4.2 Functional components

    4.3 Types of visualizations

    4.4 Calculated fields & Null values

    4.5 Interactive dashboard

    4.6 Creating Stories – A case study

    4.7 Conclusion

    Chapter 5 Conclusion

    5.1 Summary

    5.2 Business intelligence

    5.3 Research openings & Future outcomes


    Dr. Prachi Manoj Joshi is working as Associate Professor and Associate Head in the Department of Artificial Intelligence and Data Science at BRACT’S, VIIT, Pune, India. She obtained her B.E., MTech degree in Computer Engineering from COEP (College of Engineering, Pune), University of Pune, India. She has completed her Ph.D. in Computer Engineering in the area of Machine Learning from COEP, University of Pune. She has experience of 15+ years in academics and research. She has co-authored book on Artificial Intelligence (PHI) and written book chapters for Research Methodology, published by CRC. She has successfully supervised a plethora of projects at graduate and post-graduate level encompassing the domains of Artificial Intelligence, Data Mining and Machine Learning. Her research interests include Information Retrieval and Incremental Machine Learning and has multiple research publications to her credit.

    Dr. Parikshit Narendra Mahalle is a senior member IEEE and is Professor and Head of Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph. D from Aalborg University, Denmark and continued as Post Doc Researcher at CMI, Copenhagen, Denmark. He has 22 + years of teaching and research experience. He is a member of the Board of Studies in Computer Engineering, Ex-Chairman Information Technology, SPPU and various Universities and autonomous colleges across India. He has 9 patents, 200+ research publications (Google Scholar citations-2092 plus, H index-21 and Scopus Citations are 1000 plus with H index -15) and authored/edited 40+ books with Springer, CRC Press, Cambridge University Press, etc. He is editor in chief for IGI Global –International Journal of Rough Sets and Data Analysis, Associate Editor for IGI Global - International Journal of Synthetic Emotions, Inter-science International Journal of Grid and Utility Computing, member-Editorial Review Board for IGI Global – International Journal of Ambient Computing and Intelligence. His research interests are Machine Learning, Data Science, Algorithms, Internet of Things, Identity Management and Security. He is a recognized PhD guide of SSPU, Pune, and guiding 7 PhD students in the area of IoT and machine learning. Recently, four students have successfully defended their PhD. He is also the recipient of “Best Faculty Award” by Sinhgad Institutes and Cognizant Technologies Solutions. He has delivered 200 plus lectures at national and international level. He is also the recipient of the best faculty award by Cognizant Technology Solutions.