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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

Metadata and sharing data source connections

Metadata refers to information about the data itself. Nearly every database contains some metadata. This includes lists of the tables and fields for a data source and what type of data (for example, numeric, string, or date) a field contains. Tableau provides an additional layer of metadata that makes it very easy to customize a data connection to add or change attributes of the data.

Customizing a data source

Right-clicking on a field in the Data window reveals a menu of metadata options. Some of these options will be demonstrated in the following exercise, and others will be explained in later chapters. These are some of the options available via right-click:

  • Rename the field
  • Redefine the field as a dimension or a measure
  • Change the default use of a field to either discrete or continuous (this can only be done for date and numeric fields)
  • Add or remove the field from a hierarchy
  • Change the data type of the field
  • Change the geographic role of a field...
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