What action involves changing field names, types, and visibility within a dataset?

The action that involves changing field names, types, and visibility within a dataset is managing fields. This process allows a user to customize the structure of a dataset to meet specific analytical needs or reporting requirements.

By changing field names, users can make them more intuitive or relevant to the context of the data, which improves clarity when interpreting results. Altering field types enables users to ensure that data is correctly represented—for example, converting a text field to a number field if numerical operations are necessary. Additionally, adjusting visibility controls which fields are available to end users or specific roles, facilitating more tailored insights while maintaining secure data governance.

In contrast, actions such as joining relate to combining multiple datasets based on common fields, filtering pertains to limiting data displayed based on certain criteria, and summarizing focuses on aggregating data points to provide insights or overviews. While these actions are essential for data manipulation, they do not primarily focus on altering the configuration or properties of the individual fields within a dataset.