Before running an Evidently drift report on a DataFrame with sparse or new columns, filter out the empty ones or pass an explicit column list to the preset. Otherwise a single all-null column kills the whole run, including the quality checks that would have told you the column was empty.

Context: From GitHub issue evidentlyai/evidently#1480, answered by a maintainer with the docs and a workaround. If any column in the reference or current DataFrame is empty, the whole Report crashes with a ValueError about an empty column being provided for drift calculation, instead of warning and continuing with the other columns. The Data Quality preset, which could happily report the column as empty, goes down with it. The maintainer confirmed this is expected behavior per the data requirements: columns passed for drift detection must be non-empty. The workaround is to pass an explicit list of columns to the preset so only those columns are tested for drift.