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Tableau Cookbook - Recipes for Data Visualization

Tableau Cookbook - Recipes for Data Visualization

By : Shweta Savale
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Tableau Cookbook - Recipes for Data Visualization

Tableau Cookbook - Recipes for Data Visualization

3.4 (5)
By: Shweta 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 (12 chapters)
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11
Index

Understanding Multiple Table Join within a single database


Often there will be instances where the data is stored in multiples tables of a database and for the sake of analysis, we are required to fetch the data from these tables.

For example, there may be a table called Employee Master which contains the employee details such as employee ID, their first name, last name, date of birth and so on. The salary/compensation details could be stored in another table and the employment history could be stored in a separate table as well.

When conducting an analysis, we would want to consider all the information related to an employee and then proceed with our analysis. Thus, in this case, we are required to fetch the data from all the three tables, and while doing so we will also have to specify the Joins by defining a primary key. The primary key in this case could be Employee ID which is common across all the tables.

The functionality is called Multiple Table Joins and it is used when we want to...

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Tableau Cookbook - Recipes for Data Visualization
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