What is a recommended practice when creating hierarchical data in Tableau?

When creating hierarchical data in Tableau, setting up logical hierarchies is a recommended practice because it enhances the way users can interact with the data. Logical hierarchies provide a clear, organized structure that allows for intuitive drill-downs and aggregated views. This organization helps users to easily navigate the data, making it more accessible and understandable.

Hierarchies should reflect the way the data is naturally grouped or structured in the business context, such as geographical locations (country, state, city) or product categories (category, sub-category, product). This logical arrangement not only improves usability but also supports effective data analysis, making it easier for users to derive insights from the visualizations.

Additionally, using logical hierarchies helps maintain the integrity of the data model, ensuring that the relationships between different data points are clear and coherent. This practice aligns with best practices for data visualization, where clarity and user experience are paramount.