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Business Analytic ( R,ggplot2,dplyr)

03/10/2020 Client: felana45 Deadline: 7 Days

# 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.























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