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 |