Handling NA in R | is.na, na.omit & na.rm Functions for Missing Values

How to handle NA in R programming - 4 examples for is.na, na.omit & na.rm.
Find more R tutorials here: https://statisticsglobe.com/r-programming-language/
Find missing values in R: https://statisticsglobe.com/r-find-missing-values/
How to use the is.na function in R: https://statisticsglobe.com/r-is-na-function/
Handling NAs with na.omit: https://statisticsglobe.com/na-omit-r-example/
What does NA actually mean? The NA value explained: https://statisticsglobe.com/r-na/
Listwise deletion (including an R example): https://statisticsglobe.com/listwise-deletion-missing-data/

The R code of this tutorial:

### Load data
data("airquality")

### Find missing values
is.na(airquality)

### Count missing values
sum(is.na(airquality))

### Omit missing values
na.omit(airquality)

### Remove missing values
mean(airquality$Ozone, na.rm = TRUE)

Видео Handling NA in R | is.na, na.omit & na.rm Functions for Missing Values канала Statistics Globe