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Learning Tableau 10

You're reading from   Learning Tableau 10 Business Intelligence and data visualization that brings your business into focus

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781786466358
Length 432 pages
Edition 2nd Edition
Languages
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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 (12) Chapters Close

Preface 1. Creating Your First Visualizations and Dashboard 2. Working with Data in Tableau FREE CHAPTER 3. Moving from Foundational to More Advanced Visualizations 4. Using Row-Level, Aggregate, and Level of Detail Calculations 5. Table Calculations 6. Formatting a Visualization to Look Great and Work Well 7. Telling a Data Story with Dashboards 8. Deeper Analysis – Trends, Clustering, Distributions, and Forecasting 9. Making Data Work for You 10. Advanced Visualizations, Techniques, Tips, and Tricks 11. Sharing Your Data Story

Summary

Tableau's visual environment allows for a rapid and iterative process of exploring and analyzing data visually. You've taken your first steps in understanding how to use the platform. You are connected to the data and then explore and analyze the data using some foundational visualization types such as bar charts, line charts, and geographic visualizations. Along the way you focused on learning the techniques and understanding key concepts, such as the difference between measures and dimensions, and discrete and continuous fields. Finally, you put all the pieces together to create a fully functional dashboard that allows an end-user to understand your analysis and make discoveries of their own.

In the next chapter, we'll explore how Tableau works with data. You will be exposed to the fundamental concepts and practical examples of how to connect to various data sources. Combined with the foundational concepts you just learned about building visualizations, you will be well equipped to move on to more advanced visualizations, deeper analysis, and telling fully interactive data stories.

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