detect_missing_values: Detect missing values

In daqapo: Data Quality Assessment for Process-Oriented Data

Detect missing values

Description

Function detecting missing values at different levels of aggregation

• overview: presents an overview of the absolute and relative number of missing values for each column

• column: presents an overview of the absolute and relative number of missing values for a particular column

• activity: presents an overview of the absolute and relative number of missing values for each column, aggregated by activity

Usage

detect_missing_values(
  activitylog,
  level_of_aggregation,
  column,
  details,
  filter_condition
)

Arguments

activitylog	The activity log
level_of_aggregation	Level of aggregation at which missing values are identified (either "overview", "column" or "activity)
column	Column name of the column that needs to be analyzed when the level of aggregation is "column"
details	Boolean indicating wheter details of the results need to be shown
filter_condition	Condition that is used to extract a subset of the activity log prior to the application of the function

Value

activitylog containing the rows of the original activity log which contain a missing value

Examples

data("hospital_actlog")
detect_missing_values(activitylog = hospital_actlog)
detect_missing_values(activitylog = hospital_actlog, level_of_aggregation = "activity")
detect_missing_values(activitylog = hospital_actlog, level_of_aggregation = "column",
     column = "triagecode")

daqapo documentation built on July 14, 2022, 9:07 a.m.