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Tableau Cookbook - Recipes for Data Visualization

You're reading from  Tableau Cookbook - Recipes for Data Visualization

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781784395513
Pages 504 pages
Edition 1st Edition
Languages
Author (1):
Shweta Sankhe-Savale Shweta Sankhe-Savale
Profile icon Shweta Sankhe-Savale

Table of Contents (18) Chapters

Tableau Cookbook – Recipes for Data Visualization
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Keep Calm and Say Hello to Tableau 2. Ready to Build Some Charts? Show Me! 3. Hungry for More Charts? Dig In! 4. Slice and Dice – Grouping, Sorting, and Filtering Data 5. Adding Flavor – Creating Calculated Fields 6. Serve It on a Dashboard! 7. The Right MIX – Blending Multiple Data Sources 8. Garnish with Reference Lines, Trends, Forecasting, and Clustering 9. Bon Appétit! Tell a Story and Share It with others 10. Formatting in Tableau for Desserts 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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