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Tableau Cookbook - Recipes for Data Visualization

You're reading from  Tableau Cookbook - Recipes for Data Visualization

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781784395513
Pages 504 pages
Edition 1st Edition
Languages
Author (1):
Shweta Sankhe-Savale Shweta Sankhe-Savale
Profile icon Shweta Sankhe-Savale

Table of Contents (18) Chapters

Tableau Cookbook – Recipes for Data Visualization
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Keep Calm and Say Hello to Tableau 2. Ready to Build Some Charts? Show Me! 3. Hungry for More Charts? Dig In! 4. Slice and Dice – Grouping, Sorting, and Filtering Data 5. Adding Flavor – Creating Calculated Fields 6. Serve It on a Dashboard! 7. The Right MIX – Blending Multiple Data Sources 8. Garnish with Reference Lines, Trends, Forecasting, and Clustering 9. Bon Appétit! Tell a Story and Share It with others 10. Formatting in Tableau for Desserts Index

Understanding and using the forecasting functionality


There may be several circumstances where we need to read historical data and to extrapolate this historical data to get an approximate idea of what to expect in the future. These forecasted values can help us in, say, budget planning or even redefining our current strategies.

The forecasting functionality in Tableau uses an built-in statistical model that enables us to estimate future values by extrapolating historical data while also taking trend and seasonality into consideration. Among the various models that are available for forecasting, Tableau uses the exponential smoothing model.

An important point to remember is that there are plenty of external factors that govern the actual data and hence the forecast will give us an approximate idea of what to expect in future. The accuracy of this forecast however will depend on the quality of the historical data.

Getting ready

In order to enable the forecasting functionality in Tableau, let...

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