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 Maps


Being able to compare data across geographies is critical for any business. Imagine if an organization is doing business in multiple locations; the analysis of interest would be to find out which region is giving high sales, which region is profitable, which region has the maximum customer base, and so on.

Our data may consist of geographic fields such as countries, states, cities, and so on, and when we are analyzing these fields, it makes sense to plot them on a map, primarily because it is easier to compare information across regions to find various geographic trends.

Tableau has many data-map providers and it comes with a set of Online and Offline maps that one can access to create the maps views. Further more, Tableau understands various geographic roles as well, and once it does that, it will create a small globe icon as a prefix for that field. Refer to the following image:

Tableau will also auto generate two measures: Latitude (generated) and Longitude (generated). We...