Question 1 (15 marks): Mine he "UCBAdmissions" is an r built-in data frame has 24 rows and 4 columns. It is an aggregate data or pplicants to graduate school at Berkeley for the six largest departments in 1973 classified by admissie nd sex. You can read it by converting it into tibble using the following line of code: UCB= as tibble(UCBAdmissions) Use "UCB" tibble created above and write r code to do the following: a) Count the number of admitted and rejected students b) Count the number of male and female students c) Calculate the mean of the "n" value. d) Convert Admit, Gender, Dept columns into factors. e) Plot the boxplot of Freq for each Dept. I Question 1 (15 marks): Mine he "UCBAdmissions" is an r built-in data frame has 24 rows and 4 columns. It is an aggregate data or pplicants to graduate school at Berkeley for the six largest departments in 1973 classified by admissie nd sex. You can read it by converting it into tibble using the following line of code: UCB= as tibble(UCBAdmissions) Use "UCB" tibble created above and write r code to do the following: a) Count the number of admitted and rejected students b) Count the number of male and female students c) Calculate the mean of the "n" value. d) Convert Admit, Gender, Dept columns into factors. e) Plot the boxplot of Freq for each Dept. I