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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
Tools
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Toc

Table of Contents (17) Chapters Close

Learning Tableau 10 Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Creating Your First Visualizations and Dashboard FREE CHAPTER 2. Working with Data in Tableau 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

Chapter 8.  Deeper Analysis – Trends, Clustering, Distributions, and Forecasting

Sometimes, quick data visualization needs a slightly deeper analysis. For example, a simple scatterplot can reveal outliers and correlation of values. But often you want to understand the distribution. A simple time series helps you 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 trending, clustering, distributions, and forecasting, allow you to quickly add value to your visual analysis. Additionally, Tableau integrates with R, an extensive statistical platform that opens up endless options for statistical analysis of your data. This chapter will cover the built-in statistical models and analysis.

This chapter will cover the following topics:

  • Trending

  • Clustering

  • Distributions

  • Forecasting

We'll take a look at these concepts...

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