# Run the following code to read the dataset.
# This is about people’s body dimensions.
# variable explanations:
# age: a numerical vector, respondent’s age in years
# wgt: a numerical vector, respondent’s weight in kilograms
# hgt: a numerical vector, respondent’s height in centimeters
# sex: a categorical vector, 1 if the respondent is male, 0 if female
# 1) Calculate mean and median of the following variables in the dataset:
# weight and height. By looking at these values, what can you say
# about the skewness of these variables?
# 2) Calculate standard deviation, variance, range and IQR of the
# height variable.
# 3) We are wondering about the average height of the males, and females in the dataset.
# Which gender in the dataset is taller?
# 4) Which gender has the highest variability in terms of their weight?
# 5) Which variable (age, weight, or height) has the highest variability?
# 6) Draw a boxplot of the weight variable for males who are older than 30.
# Based on the plot, what would you say about the skewness of the distribution?
# 7) Create a histogram for the age of females.
# Based on the plot, what could you say about the mode and skewness
# of the distribution?
# 8) Create a matrix plot for the last 4 columns in the dataset.
# 9) Create a panel of 1 X 2, in which first window shows a scatter plot of
# height vs. weight, and second window shows a box plot of height vs. sex.
# 10) Create a 5-point summary for the age variable. Calculate the IQR.