How to find the number of zeros in each column of an R data frame?

To find the number of zeros in each column of an R data frame, we can follow the below steps −

• First of all, create a data frame.

• Then, use colSums function to find the number of zeros in each column.

Example 1

Create the data frame

Let’s create a data frame as shown below −

x<-rpois(30,1)
y<-rpois(30,1)
z<-rpois(30,1)
df<-data.frame(x,y,z)
df

Output

On executing, the above script generates the below output(this output will vary on your system due to randomization) −

   x y z
1  1 0 3
2  2 2 1
3  1 1 0
4  0 2 1
5  2 1 1
6  0 2 1
7  2 1 1
8  0 2 0
9  2 3 0
10 0 1 1
11 0 1 1
12 0 2 1
13 2 2 2
14 2 1 0
15 0 0 0
16 0 1 1
17 1 1 0
18 2 1 3
19 2 0 2
20 1 0 3
21 2 2 3
22 2 1 0
23 2 0 0
24 0 0 0
25 1 3 0
26 2 2 1
27 0 4 1
28 0 3 1
29 3 1 0
30 2 0 1

Find the number of zeros

Using colSums function to find the number of zeros in each column of data frame df −

x<-rpois(30,1)
y<-rpois(30,1)
z<-rpois(30,1)
df<-data.frame(x,y,z)
colSums(df==0)

Output

 x y  z
12 12 9

Example 2

Create the data frame

Let’s create a data frame as shown below −

v1<-sample(0:5,25,replace=TRUE)
v2<-sample(0:5,25,replace=TRUE)
v3<-sample(0:5,25,replace=TRUE)
v4<-sample(0:5,25,replace=TRUE)
dat<-data.frame(v1,v2,v3,v4)
dat

Output

On executing, the above script generates the below output(this output will vary on your system due to randomization) −

  v1 v2 v3 v4
1  2  1  3 4
2  2  0  0 4
3  2  2  0 5
4  4  3  1 0
5  5  1  5 4
6  5  1  1 0
7  0  3  1 5
8  1  4  0 2
9  1  0  0 2
10 5  1  2 1
11 4  1  0 1
12 1  0  5 3
13 3  2  2 0
14 2  1  2 5
15 3  1  3 1
16 3  4  4 2
17 0  5  3 1
18 2  1  3 3
19 3  5  2 2
20 3  4  2 1
21 3  3  2 0
22 1  5  4 5
23 4  1  0 1
24 5  4  5 3
25 1  2  2 2

Find the number of zeros

Using colSums function to find the number of zeros in each column of data frame dat −

v1<-sample(0:5,25,replace=TRUE)
v2<-sample(0:5,25,replace=TRUE)
v3<-sample(0:5,25,replace=TRUE)
v4<-sample(0:5,25,replace=TRUE)
dat<-data.frame(v1,v2,v3,v4)
colSums(dat==0)

Output

v1 v2 v3 v4
2  3  6  4