Get count of missing values of column in R dataframe

Count of missing values of column in R is calculated by using sum(is.na()). Let’s see how to

  • Get count of Missing value of each column in R
  • Get count of Missing value of single column in R

Let’s first create the dataframe

df1 = data.frame(Name = c('George','Andrea', 'Micheal','Maggie','Ravi','Xien','Jalpa'), 
                 Mathematics_score=c(45,78,44,89,66,NaN,NaN),
                 Science_score=c(56,52,NA,88,33,90,47))
df1

so the dataframe will be

Get count of missing values of column in R dataframe 1

 

Get count of missing values of all columns in R:

Sapply along with sum(is.na()) calculates count of missing values of all the column in R

# Missing value of all the column in R

sapply(df1, function(x) sum(is.na(x)))

Result:

Get count of missing values of column in R dataframe 2

 

Get count of missing values of single columns in R:

Count missing values of column “mathematics_score” is calculated

# Missing value of single column

sum(is.na(df1$Mathematics_score))

Result:

2

 

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