Showing 4 of total 4 results (show query)
tidyverse
lubridate:Make Dealing with Dates a Little Easier
Functions to work with date-times and time-spans: fast and user friendly parsing of date-time data, extraction and updating of components of a date-time (years, months, days, hours, minutes, and seconds), algebraic manipulation on date-time and time-span objects. The 'lubridate' package has a consistent and memorable syntax that makes working with dates easy and fun.
Maintained by Vitalie Spinu. Last updated 4 months ago.
757 stars 20.95 score 135k scripts 1.9k dependents
bupaverse
bupaR:Business Process Analysis in R
Comprehensive Business Process Analysis toolkit. Creates S3-class for event log objects, and related handler functions. Imports related packages for filtering event data, computation of descriptive statistics, handling of 'Petri Net' objects and visualization of process maps. See also packages 'edeaR','processmapR', 'eventdataR' and 'processmonitR'.
Maintained by Gert Janssenswillen. Last updated 2 years ago.
57 stars 9.06 score 389 scripts 11 dependentsbupaverse
daqapo:Data Quality Assessment for Process-Oriented Data
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,...).
Maintained by Niels Martin. Last updated 3 years ago.
6 stars 3.78 score 9 scripts
arrismo
lubrilog:Get Insights on 'lubridate' Operations
Provides a set of tools designed to enhance transparency and understanding of date-time manipulation functions from the 'lubridate' package. It provides detailed feedback about the operations performed by 'lubridate' functions, allowing users to better comprehend and debug their code. These insights serve as both a learning tool for newcomers and a debugging aid for programmers working with date-time data.
Maintained by Mikael Moise. Last updated 5 months ago.
2 stars 3.60 score 9 scripts