Mastering Tableau 2018.1, Second Edition 4.4: Creating Charts from Multiple Data Sources

The video tutorial covers creating visualizations in Tableau using joined and blended data sources. It demonstrates how to visualize data from multiple sources on a single canvas, including using union to merge datasets. The tutorial provides hands-on examples with the Sample Superstore dataset, showing how to analyze sales and profit data effectively.

What is the primary focus when visualizing data from joined tables in Tableau?

• Identifying the most popular products

• Analyzing customer demographics

• Identifying customers with returned orders

• Visualizing geographical data

When blending data sources in Tableau, what is automatically selected as a foreign key?

• Sales Region

• Customer Name

• Subcategory

• Order ID

What is a key requirement for creating a union in Tableau?

• Different data types for each table

• Same structure and data type for tables

• Unique identifiers for each row

• Separate workbooks for each dataset

What happens to the data volume when a union is created in Tableau?

• It decreases by half

• It triples

• It doubles

• It remains the same

In the context of unions, what does the 'grave models' indicate in Tableau?

• A missing data source

• An error in data

• A successful union

• A successful join

What is the next topic to be covered after visualizing joined, blended, and union data sources?

• Filtering and sorting

• Dashboard creation

• Advanced chart types

• Data cleaning

Which of the following is NOT a method discussed for visualizing data in Tableau?

• Macros

• Joins

• Unions

• Blends