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Learning Tableau 2019

You're reading from   Learning Tableau 2019 Tools for Business Intelligence, data prep, and visual analytics

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781788839525
Length 504 pages
Edition 3rd 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 (18) Chapters Close

Preface 1. Section 1: Tableau Foundations FREE CHAPTER
2. Taking Off with Tableau 3. Working with Data in Tableau 4. Venturing on to Advanced Visualizations 5. Section 2: Leveraging the Full Power of Tableau
6. Starting an Adventure with Calculations 7. Diving Deep with Table Calculations 8. Making Visualizations That Look Great and Work Well 9. Telling a Data Story with Dashboards 10. Digging Deeper - Trends, Clustering, Distributions, and Forecasting 11. Section 3: Data Prep and Structuring
12. Cleaning and Structuring Messy Data 13. Introducing Tableau Prep 14. Section 4: Advanced Techniques and Sharing with Others
15. Advanced Visualizations, Techniques, Tips, and Tricks 16. Sharing Your Data Story 17. Other Books You May Enjoy

Digging Deeper - Trends, Clustering, Distributions, and Forecasting

The rapid visual analysis that is possible using Tableau is incredibly useful for answering numerous questions and making key decisions. But it only barely scratches the surface of the possible analysis. For example, a simple scatterplot can reveal outliers, but often, you want to understand the distribution or identify clusters of similar observations. A simple time series helps you to see the rise and fall of a measure over time, but many times, you want to see the trend or make predictions of future values.

Tableau enables you to quickly enhance your data visualizations with statistical analysis. Built-in features such as trend models, clustering, distributions, and forecasting allow you to quickly add value to your visual analysis. Additionally, Tableau integrates with R and Python platforms, which opens up...

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