bdc_filter_out_flags: Remove columns with the results of data quality tests

In brunobrr/bdc: Biodiversity Data Cleaning

Remove columns with the results of data quality tests

Description

This function filters out columns containing the results of data quality tests (i.e., columns starting with '.') or other columns specified.

Usage

bdc_filter_out_flags(data, col_to_remove = "all")

Arguments

data	data.frame. Containing columns to be removed.
col_to_remove	logical. Which columns should be removed? Default = "all", which means that all columns containing the results of data quality tests are removed.

Value

A data.frame without columns specified in 'col_to_remove'.

Examples

x <- data.frame(
  database_id = c("test_1", "test_2", "test_3", "test_4", "test_5"),
   kindom = c("Plantae", "Plantae", "Animalia", "Animalia", "Plantae"),
  .bdc_scientificName_empty = c(TRUE, TRUE, TRUE, FALSE, FALSE),
  .bdc_coordinates_empty = c(TRUE, FALSE, FALSE, FALSE, FALSE),
  .bdc_coordinates_outOfRange = c(TRUE, FALSE, FALSE, FALSE, FALSE),
  .summary = c(TRUE, FALSE, FALSE, FALSE, FALSE)
)

bdc_filter_out_flags(
  data = x,
  col_to_remove = "all"
)

brunobrr/bdc documentation built on Nov. 21, 2024, 4:18 a.m.