tell me more icon Explore Data Quality

If most of the values in a column are the same value, then that column may not provide useful information for model building.

By default, the Filter Columns node examines each column in a sample of the data to see if

Default data quality settings

You can change these values, for example, you can check to see if the number of constant values exceeds 85%.

After node runs, hints tell you if any column fails these requirements.

Hints returned by column filter data quality

You must decide which columns to ignore in subsequent nodes (that is, which columns are not passed on). To ignore a column, click output indicator in the Output column.