Count non zero values in each column of R dataframe Last Updated : 24 Nov, 2022 Comments Improve Suggest changes Like Article Like Report 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 nonzeros 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: Comment More infoAdvertise with us Next Article Count non zero values in each column of R dataframe parasharraghav Follow Improve Article Tags : R Language R Programs R-DataFrame R DataFrame-Programs Similar Reads Count the number of NA values in a DataFrame column in R A null value in R is specified using either NaN or NA. In this article, we will see how can we count these values in a column of a dataframe. Approach Create dataframePass the column to be checked to is.na() function Syntax: is.na(column) Parameter: column: column to be searched for na values Return 1 min read Count non-NA values by group in DataFrame in R In this article, we will discuss how to count non-NA values by the group in dataframe in R Programming Language. 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