Data Storytelling and Visualization with Tableau

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A01=Parikshit Narendra Mahalle
A01=Prachi Manoj Joshi
advanced Tableau analytics for engineers
analytics techniques
Author_Parikshit Narendra Mahalle
Author_Prachi Manoj Joshi
Basic Visualizations
Big Data
Business Intelligence
Category=UYZF
Computer Graphics
Concession Stand
Credit Card Service
Dashboard
Data
Data Storytelling
Effective Visualization
engineering data interpretation
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eq_computing
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Filters Shelf
Fog Computing
Follow
GDPR
Graphs
Heat Maps
Increasing Data Size
information visualization
Interactive Dashboard
interactive data analysis
Line Chart
Marks Card
Measure Names
Null Values
Persona
Physical Access Control System
Pie Chart
quantitative research methods
Stacked Bar Chart
Static Dashboard
Tableau Public
Text Table
Video Management System
visual analytics applications

Product details

  • ISBN 9781032309910
  • Weight: 480g
  • Dimensions: 138 x 216mm
  • Publication Date: 18 Aug 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

Features

  • 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.

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.

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