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Learning Tableau

You're reading from   Learning Tableau Leverage the power of Tableau 9.0 to design rich data visualizations and build fully interactive dashboards

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781784391164
Length 340 pages
Edition 1st 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 (13) Chapters Close

Preface 1. Creating Your First Visualizations and Dashboard FREE CHAPTER 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

Forecasting


As we've seen, trend models make predictions. Given a good model, you expect additional data to follow the trend. When the trend is over time, you can get an idea about where future values may fall. However, predicting future values often requires a different type of model. Factors such as seasonality can make a difference not predicted by a trend alone. Starting with version 8.0, Tableau includes built-in forecasting models that can be used to predict and visualize future values.

To use forecasting, you'll need a view that includes a date field or enough date parts for Tableau to reconstruct a date (for example, a Year and a Month field). You may drag and drop Forecast from the Analytics tab, navigate to Analysis | Forecast | Show Forecast from the menu, or right-click on the view's pane and select the option from the context menu.

Here, for example, is the view of the population growth of Afghanistan and Australia with forecasts shown over time:

Note that when you show the forecast...

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