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Learning Tableau

You're reading from  Learning Tableau

Product type Book
Published in Apr 2015
Publisher Packt
ISBN-13 9781784391164
Pages 340 pages
Edition 1st Edition
Languages
Author (1):
Joshua N. Milligan Joshua N. Milligan
Profile icon Joshua N. Milligan

Table of Contents (18) Chapters

Learning Tableau
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Creating Your First Visualizations and Dashboard 2. Working with Data in Tableau 3. Moving from Foundational to Advanced Visualizations 4. Using Row-level and Aggregate Calculations 5. Table Calculations 6. Formatting a Visualization to Look Great and Work Well 7. Telling a Data Story with Dashboards 8. Adding Value to Analysis – Trends, Distributions, and Forecasting 9. Making Data Work for You 10. Advanced Techniques, Tips, and Tricks 11. Sharing Your Data Story Index

Summary


Tableau provides an extensive set of features to add value to your analysis. Trend lines allow you to more precisely identify outliers, determine which values fall within the predictions of certain models, and even make predictions of where measurements are expected. Tableau gives you extensive visibility into the trend models and even allows you to export data containing trend model predictions and residuals. Distributions are useful to understand how measurements are distributed. Forecasting allows a complex model of trends and seasonality to predict future results. Having a good understanding of these tools will give you the ability to clarify and validate your initial visual analyses.

Next, we'll turn our attention back to the data. We considered very early on how to connect to data, and we've been working with data ever since. However, we've spent most of our time working with clean, well-structured data. In the next chapter, we'll consider how to deal with messy data.

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