What method can you use to visualize data in both container and nested formats?

Creating circular tree maps is an effective method to visualize data in both container and nested formats. This visualization technique allows users to represent hierarchical data structures in a way that is intuitive and visually engaging. Circular tree maps display the data as concentric circles where each circle represents a container, and the segments within those circles depict the nested elements. This format helps in understanding both the size and proportion of data within the different hierarchical levels at a glance.

In addition, circular tree maps are especially useful for showing relationships between various elements and quickly identifying patterns or anomalies across different levels of the data structure. The visual nature of this representation makes it straightforward to interpret how various components relate to one another, providing insights that might be less apparent in traditional data formats.

The other options do not offer the same capability for representing complex hierarchical data. Selecting specific columns focuses on portions of the dataset without inherently supporting visual relationships between nested structures. Drilling down to component worksheets enables examination of deeper levels in isolated spaces, but does not provide a holistic view of containerized data. Implementing filters influences which data points are visible, but again does not inherently cater to visualizing the hierarchical relationships between containers and nested formats.