Book Image

Tableau Cookbook - Recipes for Data Visualization

By : Shweta Sankhe-Savale
Book Image

Tableau Cookbook - Recipes for Data Visualization

By: Shweta Sankhe-Savale

Overview of this book

Data is everywhere and everything is data! Visualization of data allows us to bring out the underlying trends and patterns inherent in the data and gain insights that enable faster and smarter decision making. Tableau is one of the fastest growing and industry leading Business Intelligence platforms that empowers business users to easily visualize their data and discover insights at the speed of thought. Tableau is a self-service BI platform designed to make data visualization and analysis as intuitive as possible. Creating visualizations with simple drag-and-drop, you can be up and running on Tableau in no time. Starting from the fundamentals such as getting familiarized with Tableau Desktop, connecting to common data sources and building standard charts; you will walk through the nitty gritty of Tableau such as creating dynamic analytics with parameters, blended data sources, and advanced calculations. You will also learn to group members into higher levels, sort the data in a specific order & filter out the unnecessary information. You will then create calculations in Tableau & understand the flexibility & power they have and go on to building story-boards and share your insights with others. Whether you are just getting started or whether you need a quick reference on a “how-to” question, This book is the perfect companion for you
Table of Contents (18 chapters)
Tableau Cookbook – Recipes for Data Visualization
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Creating an Individual axes chart


Just showing a single measure may not always give us a complete picture. For example, a bar chart showing region-wide sales only gives us information about how much sales each region has done. Although this is useful information for us, there isn't much insight in it to take any decisions. This would be even more useful to us if we could compare the sales of each region with targets of those regions. This way we could find out which regions are not meeting their targets and which regions are hitting or over-achieving the target.

There can be plenty of instances where we would want to compare multiple measures; and creating an individual axes chart is one of the many ways to do so.

Getting ready

For our next recipe, we will continue working in our existing workbook My first Tableau Workbook which is stored in the Workbooks folder in our My Tableau Repository. We will also continue working on the same Orders data of the Sample - Superstore.xls file.

How to do...