vt_required_columns: Validate that a CSV Has No Missing/Null Values in Required...

In data-steve/valiData: Data Validation

Validate that a CSV Has No Missing/Null Values in Required Fields

Description

vt_required_columns - Validates that a .csv file's data.frame contains no missing/null values in required fields.

Usage

vt_required_columns(data, map, missing = c("", "NULL", "NA", "N/A", "na",
  "n/a"), prop.acceptable = 0, file_name = NULL)

Arguments

data	data.frame.
map	A data.frame with a header (header name) & required (logical,; Is column required?).
missing	Values considered to be missing or null.
prop.acceptable	proportion of allowable missing
file_name	An optional file name for use in reporting.

Value

Returns a list of validation results.

data-steve/valiData documentation built on Feb. 3, 2023, 12:21 a.m.