daqapo
0.3.2Data Quality Assessment for Process-Oriented Data
Overview
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,...).
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 100%
- Return-value docs
- 96%
- References docs
- 0%
Downloads
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Repository practices
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/bupaverse/daqapo on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.3.2Latest
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.3.12020-10-02 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.3.02020-04-08
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-04-08
- Total releases
- 3 / 6 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 3.7 KB / 3 files
- Download size
- 78 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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