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
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Preface
Index

Creating a box and whisker chart


Box and whisker plots, also called box plots, are charts that divide their data points into quartiles. Box plots are great at comparing distributions of data for different groups or categories side by side.

In this recipe, we will create a box and whisker plot that shows the spread of points garnered by NBA teams from 2000-2009.

Getting ready

To follow this recipe, open B05527_02 – STARTER.twbx. Use the worksheet called Box and Whisker, and connect to the Player Stats (NBA Players Regular Season 2009) data source.

How to do it...

The following are the steps to create a box and whisker plot:

  1. From Dimensions, drag League to the Filters shelf and filter to N for NBA.

  2. From Dimensions, drag Year to the Filters shelf and choose years 2000-2009.

  3. Ctrl + click Year from Dimensions and Points from Measures to select both data fields from the side bar.

  4. While Year and Points are still selected, expand Show Me.

  5. Select the Box and Whisker plot icon in Show Me, as shown in the following...