Book Image

Tableau 10 Complete Reference

By : Joshua N. Milligan, Tristan Guillevin
Book Image

Tableau 10 Complete Reference

By: Joshua N. Milligan, Tristan Guillevin

Overview of this book

Graphical presentation of data enables us to easily understand complex data sets. Tableau 10 Complete Reference provides easy-to-follow recipes with several use cases and real-world business scenarios to get you up and running with Tableau 10. This Learning Path begins with the history of data visualization and its importance in today's businesses. You'll also be introduced to Tableau - how to connect, clean, and analyze data in this visual analytics software. Then, you'll learn how to apply what you've learned by creating some simple calculations in Tableau and using Table Calculations to help drive greater analysis from your data. Next, you'll explore different advanced chart types in Tableau. These chart types require you to have some understanding of the Tableau interface and understand basic calculations. You’ll study in detail all dashboard techniques and best practices. A number of recipes specifically for geospatial visualization, analytics, and data preparation are also covered. Last but not least, you'll learn about the power of storytelling through the creation of interactive dashboards in Tableau. Through this Learning Path, you will gain confidence and competence to analyze and communicate data and insights more efficiently and effectively by creating compelling interactive charts, dashboards, and stories in Tableau. This Learning Path includes content from the following Packt products: • Learning Tableau 10 - Second Edition by Joshua N. Milligan • Getting Started with Tableau 2018.x by Tristan Guillevin
Table of Contents (20 chapters)
Title Page
About Packt
Contributors
Preface
8
Deeper Analysis - Trends, Clustering, Distributions, and Forecasting
Index

Managing data source metadata


Data sources in Tableau are a definition of the connection(s). In addition to storing information about the connection (such as database server name, database, and/or file names), the data source also contains information about all the fields available (such as field name, data type, default format, comments, aliases, and so on). Often, this data about the data is referred to as metadata.

Right-clicking on a field in the data pane reveals a menu of metadata options. Some of these options will be demonstrated in the following exercise, others will be explained throughout the book. The following are some of the options available via right-click:

  • Rename the field
  • Hide the field
  • Change aliases for values of a dimension (other than date fields)
  • Create calculated fields, groups, or sets
  • Split the field
  • Change the default use of date or numeric field to either discrete or continuous
  • Redefine the field as a dimension or a measure
  • Change the data type of the field
  • Assign a geographic...