Task 2: Read the dataset in memory

cc.df = read.csv("DefaultData.csv", header = TRUE)

Task 3: Display the name of the columns in the dataframe

colnames(cc.df)

## [1] "default" "student" "balance" "income"

Task 4: Dimensions of data frame

dim(cc.df)

## [1] 10000     4

Task 5: Descriptive Statistics

# Mean of income
mean(cc.df$income)

## [1] 33516.98

# Standard Deviation of income
sd(cc.df$income)

## [1] 13336.64

# Mean of balance
mean(cc.df$balance)

## [1] 835.3749

# Standard Deviation of balance
sd(cc.df$balance)

## [1] 483.715

Task 6: Final Comments

• There are 10000 observations of 4 variables.
• Name of variables are : “default” “student” “balance” “income”.
• Mean income of observations in the dataset is 33.5K with a standard deviation of 13.3K.
• Mean amount owned by the observations in the dataset is 835 with a standard deviation of 483.