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Count non zero values in each column of R dataframe

  • Last Updated : 05 Apr, 2021

In this article, we are going to count the number of non-zero data entries in the data using R Programming Language.

To check the number of non-zero data entries in the data first we have to put that data in the data frame by using:

data <- data.frame(x1 = c(1,2,0,100,0,3,10), 
                  x2 = c(5,0,1,8,10,0,0),
                  x3 = 0)

print(data)

Output:

Now we have the data in the data frame. So, to count the number of non-zeroes entries in each column we use colSums() function. This function is used as:



colSums( data != 0)

Output:

As you can clearly see that there are 3 columns in the data frame and Col1 has 5 nonzeroes entries (1,2,100,3,10) and Col2 has 4 non-zeroes entries (5,1,8,10) and Col3 has 0 non-zeroes entries.

Example 1: Here we are going to create a dataframe and then count the non-zero values in each column.

R




# Create example data frame
data <- data.frame(x1 = c(1,2,0,100,0,3,10),   
                   x2 = c(5,0,1,8,10,0,0),
                   x3 = 0)
  
#  print the dataframe
print(data) 
  
# check for every non zero entry using "data!=0" 
# and sum the number of entries using colSums()
colSums(data != 0)

Output: 

Example 2: In this example, we are using iris3 dataset is used. 



R




# put the iris3 data in dataframe
data <- data.frame(iris3)
  
# check the dimensions of dataframe
dim(data)
  
# check for every non zero entry using "data!=0" 
# and sum the number of entries using colSums()
colSums(data != 0)

Output:

Example 3: In this example, the state.x77 dataset is used.

R




# put the state.x77 data in dataframe
data <- data.frame(state.x77)
  
# check the dimensions of dataframe
dim(data)  
  
# check for every non zero entry using "data!=0" 
# and sum the number of entries using colSums()
colSums(data != 0)

Output:

Example 4: In this example, the USArrest dataset is used.

R




# put the USArrest data in dataframe
data <- data.frame(USArrest)
  
# check the dimensions of dataframe
dim(data)  
  
# check for every non zero entry using "data!=0" 
# and sum the number of entries using colSums()
colSums(data != 0)

Output: 




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