Book Image

Tableau 10 Business Intelligence Cookbook

By : Donabel Santos, Paul Banoub
Book Image

Tableau 10 Business Intelligence Cookbook

By: Donabel Santos, Paul Banoub

Overview of this book

Tableau is a software tool that can speed up data analysis through its rich visualization capabilities, and help uncover insights for better and smarter decision making. This book is for the business, technology, data and analytics professionals who use and analyze data and data-driven approaches to support business operations and strategic initiatives in their organizations. This book provides easy-to-follow recipes to get the reader up and running with Tableau 10, and covers basic to advanced use cases and scenarios. The book starts with building basic charts in Tableau and moves on to building more complex charts by incorporating different Tableau features and interactivity components. There is an entire chapter dedicated to dashboard techniques and best practices. A number of recipes specifically for geospatial visualization, analytics, and data preparation are also covered. By the end of this book, you’ll have gained confidence and competence to analyze and communicate data and insights more efficiently and effectively by creating compelling interactive charts, dashboards, and stories in Tableau.
Table of Contents (17 chapters)
Tableau 10 Business Intelligence Cookbook
About the Author
About the Reviewer

Using join

In this recipe, we will combine the fields in two different Excel worksheets into one:

Getting ready

To follow this recipe, download this chapter's files from the Packt website and use the file called Worlds Busiest Airports—Join.xls.

How to do it...

Here are the steps to combine the fields from the two worksheets:

  1. Connect to the Excel file in this recipe. Make sure you choose Excel from the To a File section:

  2. Drag Busiest Airports 2015 from the sheets section to the data connection window:

  3. Drag Airport Geocode to the right of Busiest Airports 2015 in the data connection window.

  4. In the Join window that comes up, choose Airport from Busiest Airports 2015 to match up to the Airport Code field from the Airport Geocode sheet:

  5. Add a new sheet and create your visualization using this data set.

How it works...

A join is primarily a relational database concept that allows you to combine records from different tables using common fields. When data sets are joined, all fields are combined based on...