SQL Frames provides a unified framework for displaying all the various types of DataFrames (aggregated, details, pivoted, hierarchical). These are by default presented with UX found in high-end enterprise data applications as powerful and rich data tables. However, for certain use cases and certain end users where it is important for the UI to look like Excel spreadsheet, it is possible to provide such UX. Below is an example of rendering the various DataFrames with Excel-like row (numbers) and column (letters) headers.
See DataFrame Zoo to look at how the various DataFrames can be visualized with and without the Excel-like headers.