Data Modeling Considerations for Ask Data and Explain Data
Tableau Ask Data and Explain Data are powerful machine learning features that put analysis in the hands of casual users – those who would struggle to create their own analysis through the drag-and-drop features of Tableau Desktop and web authoring. For these casual users to get answers to their questions, the data models and available fields supporting them must be well thought-out; otherwise, the users may end up frustrated with answers that don’t make sense. This chapter explores these considerations.
In this chapter, we’re going to cover the following topics:
- Visual analytics through natural language search with Ask Data
- Creating a lens for Ask Data, including field exclusions, renaming, and creating aliases
- Uncovering outliers in your data with Explain Data
- Curating data sources for Explain Data by telling the model which columns to use and ignore
