Which method is best for limiting view complexity in Tableau?

Using filters and aggregates is the best method for limiting view complexity in Tableau because it enhances data visualization clarity by reducing the amount of information displayed at any given time. Filters allow users to focus on specific segments of data, which can help in presenting only the most relevant information to the audience. This selective approach minimizes clutter and prevents overwhelming viewers with excessive details.

Aggregates play a crucial role as well, as they summarize data into a more digestible form, transforming raw numbers into meaningful insights. When data is presented in aggregated formats, it becomes easier for users to analyze trends and relationships without sifting through large datasets.

While adding more charts may seem like a way to provide comprehensive insights, it often leads to complexity and can confuse viewers. Creating a data warehouse is a strategic approach to data management but does not directly limit view complexity in Tableau. Incorporating HTML scripts can enhance functionality but is not a common method for simplifying visual representation in Tableau. Therefore, using filters and aggregates strikes the right balance between providing adequate information and maintaining a clear, focused visual presentation.