Data quality recipe steps
Use these data quality recipe steps to populate missing values, remove invalid data, or remove duplicates.
Topics
- ADVANCED_DATATYPE_FILTER
- ADVANCED_DATATYPE_FLAG
- DELETE_DUPLICATE_ROWS
- EXTRACT_ADVANCED_DATATYPE_DETAILS
- FILL_WITH_AVERAGE
- FILL_WITH_CUSTOM
- FILL_WITH_EMPTY
- FILL_WITH_LAST_VALID
- FILL_WITH_MEDIAN
- FILL_WITH_MODE
- FILL_WITH_MOST_FREQUENT
- FILL_WITH_NULL
- FILL_WITH_SUM
- FLAG_DUPLICATE_ROWS
- FLAG_DUPLICATES_IN_COLUMN
- GET_ADVANCED_DATATYPE
- REMOVE_DUPLICATES
- REMOVE_INVALID
- REMOVE_MISSING
- REPLACE_WITH_AVERAGE
- REPLACE_WITH_CUSTOM
- REPLACE_WITH_EMPTY
- REPLACE_WITH_LAST_VALID
- REPLACE_WITH_MEDIAN
- REPLACE_WITH_MODE
- REPLACE_WITH_MOST_FREQUENT
- REPLACE_WITH_NULL
- REPLACE_WITH_ROLLING_AVERAGE
- REPLACE_WITH_ROLLING_SUM
- REPLACE_WITH_SUM