Get the statistical summary and nature of the DataFrame in R

In this article, we will see how to find the statistics of the given data frame. We will use the summary() function to get the statistics for each column:

Syntax: summary(dataframe_name)

The result produced will contain the following details:

• Minimum value – returns the minimum value from each column
• Maximum value – returns the maximum value from each column
• Mean – returns the mean value from each column
• Median – returns the median from each column
• 1st quartile – returns the 1st quartile from each column
• 3rd quartile – returns the 3rd quartile from each column.

Example 1: In this example data, we had taken student marks, height, weight, and marks, so we are calculating the summary of that two columns.

R

# create vector with names
name = c("sravan", "mohan", "sudheer",
         "radha", "vani", "mohan")

# create vector with subjects
subjects = c(".net", "Python", "java",
             "dbms", "os", "dbms")

# create a vector with marks
marks = c(98, 97, 89, 90, 87, 90)

# create vector with height
height = c(5.97, 6.11, 5.89, 5.45, 5.78, 6.0)

# create vector with weight
weight = c(67, 65, 78, 65, 81, 76)

# pass these vectors to the data frame
data = data.frame(name, subjects,
                  marks, height, weight)

# display
print(data)
print("STATISTICAL SUMMARY")

# use summary function
print(summary(data))

Output:

Example 2: In this example, we are getting a statistical summary of individual columns

R

# create vector with names
name = c("sravan","mohan","sudheer",
         "radha","vani","mohan")

# create vector with subjects
subjects = c(".net","Python","java",
             "dbms","os","dbms")

# create a vector with marks
marks=c(98,97,89,90,87,90)

# create vector with height
height=c(5.97,6.11,5.89,
         5.45,5.78,6.0)

# create vector with weight
weight=c(67,65,78,65,81,76)

# pass these vectors to the data frame
data=data.frame(name,subjects,marks,
                height,weight)

# display
print(data)
print("STATISTICAL SUMMARY of marks")

# use summary function  on marks column
print(summary(data$marks))
print("STATISTICAL SUMMARY of height")


# use summary function on height column
print(summary(data$height))
print("STATISTICAL SUMMARY of weight")

# use summary function on weight column
print(summary(data$weight))

Output:

Finding Nature of the data frame:

We can use class() function to get the nature of the dataframe.

It will return:

• Either data is NULL or not
• The datatype of a particular column in a dataframe

Syntax: class(dataframe$column_name)

Example:

R

# create vector with names
name = c("sravan","mohan","sudheer",
         "radha","vani","mohan")

# create vector with subjects
subjects = c(".net","Python","java",
             "dbms","os","dbms")

# create a vector with marks
marks=c(98,97,89,90,87,90)

# create vector with height
height=c(5.97,6.11,5.89,
         5.45,5.78,6.0)

# create vector with weight
weight=c(67,65,78,65,81,76)

# pass these vectors to the data frame
data=data.frame(name,subjects,marks,
                height,weight)

# nature of dataframe
print(paste("names column",class(data$names)))
print(paste("subjects column",class(data$subjects)))
print(paste("marks column",class(data$marks)))
print(paste("height column",class(data$height)))
print(paste("weight column",class(data$weight)))

Output: