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daqapo  

Data Quality Assessment for Process-Oriented Data
View on CRAN: Click here


Download and install daqapo package within the R console
Install from CRAN:
install.packages("daqapo")

Install from Github:
library("remotes")
install_github("cran/daqapo")

Install by package version:
library("remotes")
install_version("daqapo", "0.3.2")



Attach the package and use:
library("daqapo")
Maintained by
Niels Martin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-08
Latest Update: 2022-07-14
Description:
Provides a variety of methods to identify data quality issues in process-oriented data, which are useful to verify data quality in a process mining context. Builds on the class for activity logs implemented in the package 'bupaR'. Methods to identify data quality issues either consider each activity log entry independently (e.g. missing values, activity duration outliers,...), or focus on the relation amongst several activity log entries (e.g. batch registrations, violations of the expected activity order,...).
How to cite:
Niels Martin (2020). daqapo: Data Quality Assessment for Process-Oriented Data. R package version 0.3.2, https://cran.r-project.org/web/packages/daqapo. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.3.0 (2020-04-08 11:50), 0.3.1 (2020-10-02 18:22)
Other packages that cited daqapo R package
View daqapo citation profile
Other R packages that daqapo depends, imports, suggests or enhances
Complete documentation for daqapo
Functions, R codes and Examples using the daqapo R package
Some associated functions: daqapo . detect_activity_frequency_violations . detect_activity_order_violations . detect_attribute_dependencies . detect_case_id_sequence_gaps . detect_conditional_activity_presence . detect_duration_outliers . detect_inactive_periods . detect_incomplete_cases . detect_incorrect_activity_names . detect_missing_values . detect_multiregistration . detect_overlaps . detect_related_activities . detect_similar_labels . detect_time_anomalies . detect_unique_values . detect_value_range_violations . domain_categorical . domain_numeric . domain_time . duration_within . filter_anomalies . fix . hospital . hospital_actlog . hospital_events . reexports . 
Some associated R codes: bupar_reexports.R . daqapo.R . data.R . detect_activity_frequency_violations.R . detect_activity_order_violations.R . detect_attribute_dependency_violations.R . detect_case_id_sequence.R . detect_conditional_activity_presence_violations.R . detect_duration_outliers.R . detect_inactive_periods.R . detect_incomplete_cases.R . detect_incorrect_activity_names.R . detect_missing_values.R . detect_multiregistration.R . detect_overlaps.R . detect_related_activities.R . detect_similar_labels.R . detect_time_anomalies.R . detect_unique_values.R . detect_value_range_violations.R . domain_character.R . domain_numeric.R . domain_time.R . duration_within.R . filter_anomalies.R . fix.R . utils.R .  Full daqapo package functions and examples
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