Complete the following.

We are focusing on data frames since that is a very critical part of R. But I will assume that you will work out the examples for matrices, arrays and other data types discussed in the chapter. DO NOT SKIP ANY EXAMPLES!

1. In R, create two data frames for students with the following fields and populate with 10 students First dataframe, stu.info studentid : num status : chr (freshmen, sophomore, junior, senior) gender : chr (F or M) age : num Second dataframe stu.eddetails studentid: num employment: chr (Y or N) GPA : num Major ; char Perform the following:

a. display both the data frames

b. merge the two data frames

c. display the columns studentid, major and GPA

d. Display rows 6 to 10

2. Briefly describe the data analytics work flow, the stages in it. What is the difference between supervised learning and unsupervised learning methods. Give an example supervised and unsupervised learning technique.