R: Data Quality Assessment for Process-Oriented Data

# Data Quality Assessment for Process-Oriented Data

## Documentation for package ‘daqapo’ version 0.3.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

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