Mastering Tableau 2018.1, Second Edition 3.3: Using the Data Interpreter

The video tutorial demonstrates how to use Tableau's data interpreter to clean and prepare datasets for analysis. It highlights common data issues, such as missing headers, and shows how the data interpreter can automatically detect and fix these problems. The tutorial uses a coffee chain dataset as an example and emphasizes the importance of reviewing data modifications. It concludes with a preview of combining and transforming data from multiple sources.

Describe the process of reviewing results after using the data interpreter.

What types of unwanted data can the data interpreter automatically detect and remove?