Business Analytic ( R,ggplot2,dplyr)

# Homework # Answer the following questions. # When done, save and submit your work back to Canvas. # For this assignment, download "bdims.csv" dataset from Canvas. # Run the following code to read the dataset. # This is about people's body dimensions. b=read.csv("bdims.csv") View(b) # 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 # Questions # 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.