Is there a better to way to render a visualization when no data exists?

[npatki]

Environment details

• SDMetrics version: Dev Branch (for upcoming 0.11.0)

Problem description

Some datasets may not have many statistical columns*, so there may not be enough data for certain types of evaluation.
*Statistical columns are the modeled ones: categorical, boolean, datetime, numerical.

For example, consider a multi-table dataset where I only have 1 numerical column in a table (the others are all ID or PII types). If I try to run the quality report, there is nothing to compute for Column Pair Trends -- as this property requires 2 or more statistical columns for computation.

Observed

The report is correctly identifying that there is nothing to be computed. As expected, the details are blank.

report.get_details('Column Pair Trends')

However, the visualization is also blank because there was nothing computed.

Expected

It is a bit odd to see this type of visualization. Perhaps we could render a single blank graph with a text overlay that says something like:

"No data to display. This property requires at least 2 or more statistical columns within a single table."

Additional Context

It may be worth auditing and revisiting other cases where this can trigger as well. For example:

• Quality report, column pair trends property: If there are only categorical columns, then there is nothing to display in the heatmaps
• Quality report, column shapes property: If there are no statistical columns
• Diagnostic report, all properties: if there are no statistical columns
• Diagnostic report, boundaries property: If there are only categorical columns, this is not computed