find_na: Finding variables including missing values

In dlookr: Tools for Data Diagnosis, Exploration, Transformation

Finding variables including missing values

Description

Find the variable that contains the missing value in the object that inherits the data.frame or data.frame.

Usage

find_na(.data, index = TRUE, rate = FALSE)

Arguments

.data	a data.frame or a tbl_df.
index	logical. When representing the information of a variable including missing values, specify whether or not the variable is represented by an index. Returns an index if TRUE or a variable names if FALSE.
rate	logical. If TRUE, returns the percentage of missing values in the individual variable.

Value

Information on variables including missing values.

See Also

imputate_na, find_outliers.

Examples

## Not run: 
find_na(jobchange)

find_na(jobchange, index = FALSE)

find_na(jobchange, rate = TRUE)

## using dplyr -------------------------------------
library(dplyr)

# Perform simple data quality diagnosis of variables with missing values.
jobchange %>%
  select(find_na(.)) %>%
  diagnose()

## End(Not run)

dlookr documentation built on July 9, 2023, 6:31 p.m.