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

Understanding Data Blending


In the earlier recipes, we saw how to join data from multiple data tables that are either within a single database or across multiple databases. The cross-database join functionality was introduced by Tableau in version 10.0 and, in versions prior to this, one could rely on the Data Blending functionality to get data from multiple data sources.

Even though the cross-database Join has made joining the data from disparate data sources fairly easy, the Data Blending functionality still exists and can be used where cross-database Joins won't work. For example, cross-database functionality can't be used with Salesforce or Google Analytics or even multi-dimensional cubes. One can also use Data Blending over cross-database Joins when the data is at a different granularity.

Let us explore this functionality in more details in the following recipe.

Getting ready

For this recipe, we will download the sample data that has been uploaded on the following link:

https://1drv.ms...