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,...).
This R-package is designed to perform data quality assessment on process-oriented data.
Install from GitHub : devtools::install_github("bupaverse/daqapo")
The help pages provide more information on the provided functionality and the meaning of parameters.