| daqapo | daqapo - Data Quality Assessment for Process-oriented Data |
| detect_activity_frequency_violations | Check activity frequencies |
| detect_activity_order_violations | Detect activity order violations |
| detect_activity_order_violations.activitylog | Detect activity order violations |
| detect_attribute_dependencies | Detect dependency violations between attributes |
| detect_case_id_sequence_gaps | Detect gaps in case_id |
| detect_conditional_activity_presence | Detect conditional activity presence violations |
| detect_duration_outliers | Detect activity duration outliers |
| detect_inactive_periods | Detect inactive periods |
| detect_incomplete_cases | Detect incomplete cases |
| detect_incorrect_activity_names | Detect incorrect activity names |
| detect_missing_values | Detect missing values |
| detect_multiregistration | Detect multi-registration |
| detect_overlaps | Detect overlapping acitivity instances |
| detect_related_activities | Detect missing related activities |
| detect_similar_labels | Search for similar labels in a column |
| detect_time_anomalies | Detect time anomalies |
| detect_unique_values | Search for unique values / distinct combinations |
| detect_value_range_violations | Detect value range violations |
| domain_categorical | Define allowable range of values |
| domain_numeric | Define allowable range of values |
| domain_time | Define allowable time range |
| duration_within | Define bounds for activity duration |
| filter_anomalies | Filter anomalies from the activity log |
| fix | Fix problems |
| hospital | An activity log of 20 patients in a hospital (data frame) |
| hospital_actlog | An activity log of 20 patients in a hospital (activity log object) |
| hospital_events | An event log of 20 patients in a hospital |