R语言 获取DataFrame的统计摘要和性质

在这篇文章中，我们将看到如何找到给定数据框的统计数据。我们将使用 summary() 函数来获取每一列的统计数据。

语法： summary(dataframe_name)

产生的结果将包含以下细节。

• 最小值 – 返回每列的最小值
• 最大值 – 返回每一列的最大值
• 平均值 – 返回每一列的平均值
• 中位数 – 返回每一列的中位数
• 第一四分位数 – 返回每一列的第一四分位数
• 第三四分位数 – 返回每一列的第三四分位数。

例子1： 在这个例子中，我们取得了学生的分数、身高、体重和分数，所以我们要计算这两栏的汇总。

# 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))

输出

例2： 在这个例子中，我们得到的是单个列的统计摘要

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

输出

找到数据框的性质

我们可以使用class()函数来获取数据框的性质。

它将返回 。

• 数据是否为空或不为空
• 数据框架中某一列的数据类型

语法： class(dataframe$column_name)

例子

# 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(datanames)))
print(paste("subjects column",class(datasubjects)))
print(paste("marks column",class(datamarks)))
print(paste("height column",class(dataheight)))
print(paste("weight column",class(data$weight)))

输出