When working with surveys in Tableau, adding new questions or reorganizing how they are categorized can lead to some complexities. Specifically, if you need to regenerate primary data source groups manually edit them. Unlike other systems where changes are automatically updated, Tableau requires a manual update when modifying the primary group.

Tableau's generation of the primary group is similar to populating members of a parameter with the members of a field. In this sense, it's essential to update the group members if you add new questions, as referring to a group in a calculated field is not possible.

One of the key benefits of using Tableau Public 10.1 is its ability to provide seamless integration between surveys and data analysis. By leveraging the power of blending, users can easily combine different data sources without having to manually join them. This approach offers several advantages over traditional methods, including improved data visualization and easier exploration.

However, there are some shortcomings to consider when using Tableau Public 10.1 for survey analysis. For instance, while it's possible to use a blend to combine data sources, this approach may not be as effective as joining the pivoted data with the helper file.

Despite these limitations, Tableau Public 10.1 offers several benefits that make it an attractive choice for survey analysis. By using the Grouping group, users can easily indicate which sets of related questions they want to examine, making it easier to identify trends and patterns in the data.

Overall, Tableau Public 10.1 provides a powerful platform for survey analysis, offering advanced features and tools that make it easy to work with complex data sets. By leveraging its blend functionality, users can create sophisticated visualizations and insights that inform their decision-making process.

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