Data Quality Assessment for Process-Oriented Data

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Documentation for package ‘daqapo’ version 0.3.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

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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