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E-book
Author Gupta, Sumit, author.

Title The Tableau workshop : a practical guide to the art of data visualization with Tableau / Sumit Gupta, Sylvester Pinto, Shweta Sankhe-Savale, JC Gillet, Kenneth Michael Cherven
Edition [First edition]
Published Birmingham, UK : Packt Publishing, 2022

Copies

Description 1 online resource (822 pages) : illustrations
Summary Learning Tableau has never been easier, thanks to this practical introduction to storytelling with data. The Tableau Workshop breaks down the analytical process into five steps: data preparation, data exploration, data analysis, interactivity, and distribution of dashboards. Each stage is addressed with a clear walkthrough of the key tools and techniques you'll need, as well as engaging real-world examples, meaningful data, and practical exercises to give you valuable hands-on experience. As you work through the book, you'll learn Tableau step by step, studying how to clean, shape, and combine data, as well as how to choose the most suitable charts for any given scenario. You'll load data from various sources and formats, perform data engineering to create new data that delivers deeper insights, and create interactive dashboards that engage end-users. All concepts are introduced with clear, simple explanations and demonstrated through realistic example scenarios. You'll simulate real-world data science projects with use cases such as traffic violations, urban populations, coffee store sales, and air travel delays. By the end of this Tableau book, you'll have the skills and knowledge to confidently present analytical results and make data-driven decisions
SUBJECT Tableau (Computer file) http://id.loc.gov/authorities/names/n2014079610
Tableau (Computer file) fast (OCoLC)fst01938161
Subject Information visualization -- Computer programs
Visual analytics -- Data processing
Operational research.
Enterprise software.
Data capture & analysis.
Information visualization.
Computers -- Enterprise Applications -- Business Intelligence Tools.
Computers -- Data Processing.
Visual analytics -- Data processing.
Information visualization -- Computer programs.
Form Electronic book
Author Pinto, Sylvester, author
Sankhe-Savale, Shweta, author
Gillet, JC, author
Cherven, Kenneth Michael, author