Find and Count Missing Values in the R DataFrame
Generally, missing values in the given data are represented with NA. In R programming, the missing values can be determined by is.na() method.
This method accepts the data variable as a parameter and determines whether the data point is a missing value or not. To find the location of the missing value use which() method in which is.na() method is passed to which() method.
To count the total number of missing values use the sum() method in which is.na() method is passed.
Let’s look into the syntax of methods that find the location and total count of missing values.
# finds the location of missing values
which(is.na(data))
# finds the count of missing values
sum(is.na(data))
How to Find and Count Missing Values in R DataFrame
In this article, we will be discussing how to find and count missing values in the R programming language.
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