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Learning Tableau 2022

You're reading from   Learning Tableau 2022 Create effective data visualizations, build interactive visual analytics, and improve your data storytelling capabilities

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801072328
Length 568 pages
Edition 5th Edition
Tools
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Author (1):
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Joshua N. Milligan Joshua N. Milligan
Author Profile Icon Joshua N. Milligan
Joshua N. Milligan
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Table of Contents (20) Chapters Close

Preface 1. Taking Off with Tableau FREE CHAPTER 2. Connecting to Data in Tableau 3. Moving Beyond Basic Visualizations 4. Starting an Adventure with Calculations and Parameters 5. Leveraging Level of Detail Calculations 6. Diving Deep with Table Calculations 7. Making Visualizations that Look Great and Work Well 8. Telling a Data Story with Dashboards 9. Visual Analytics: Trends, Clustering, Distributions, and Forecasting 10. Advanced Visualizations 11. Dynamic Dashboards 12. Exploring Mapping and Advanced Geospatial Features 13. Integrating Advanced Features: Extensions, Scripts, and AI 14. Understanding the Tableau Data Model, Joins, and Blends 15. Structuring Messy Data to Work Well in Tableau 16. Taming Data with Tableau Prep 17. Sharing Your Data Story 18. Other Books You May Enjoy
19. Index

A dashboard to understand profitability

Having covered some conceptual topics as well as practical matters related to dashboard design, we’ll dive into an example.

Let’s say you’ve been tasked with helping management find which items are the least profitable. Management feels that most of the least profitable items should be eliminated from their inventory. However, since you’ve done your analysis, you’ve discovered that certain items, while not profitable overall, have made a profit at times in various locations. Your primary objective is to give management the ability to quickly see an analysis of the least profitable items to identify whether an item has always been unprofitable, answering the question, “Is the least profitable item always unprofitable?” This example will combine aspects of a guided analytics dashboard and an exploratory tool.

Building the views

Use the Superstore Sales dataset and follow these steps...

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