run_checks_from_dataframe: Run predefined quality check test on a raw dataset

In agualtieri/dataqualitycontrol: Data quality check

Description

The following function checks for the presence of invalid data quality combinations within a dataframe using the supplied condition_list.

Usage

run_checks_from_dataframe(df, conditions_df, condition.column,
  test.name.column, meta_to_keep = c())

Arguments

df	the dataset you wish to check for invalid combinations of variables
conditions_df	the dataframe contaning the name of the checks and the list of controls to perform
condition.column	the column name that containes the conditions you want to check in the dataset
test.name.column	the column name that contains the description of the checks you want to perform
meta_to_keep	a list of metadata you wish to include in the final output

Details

The condition_list must be a dataframe containingat least two variables: condition as the name of the condition one wishes to check and test as the test applied to each condition.

Value

Standardized issues table for quality check in long format.

Author(s)

Alberto Gualtieri, [e-mail]

References

https://github.com/agualtieri/dataqualitycontrol

agualtieri/dataqualitycontrol documentation built on Aug. 22, 2019, 9:58 p.m.