Question: Please us the csv file and answer the question by R studio https://github.com/wampeh1/Ecog314_Spring2017/blob/master/Lecture5/lending_club_loans.csv # ----------# # load the dplyr library #--------------# # Exercise 1 #
| Please us the csv file and answer the question by R studio https://github.com/wampeh1/Ecog314_Spring2017/blob/master/Lecture5/lending_club_loans.csv | |
| # ----------# | |
| # load the dplyr library | |
| #--------------# | |
| # Exercise 1 | |
| # -------------# | |
| ######## | |
| # Part a | |
| # Read in the raw data and assign it to lending_club. | |
| # HINT: Be sure to read characters in as characters and not as factors | |
| # What are the dimensions of the lending club data frame? | |
| ########## | |
| # Part b | |
| # Take a look at your loans data frame by calling it in the console, | |
| # does the formatting look good, are the types correct? | |
| # What is the type of the following variables (use the typeof() function): | |
| # id, term ,int_rate, loan_amnt, issue_d, and installment? | |
| ########### | |
| # Part c | |
| # Create a new data frame called lending_club_small and keep the following columns: | |
| # id, loan_amnt, funded_amnt, term, int_rate, installment, grade, emp_length, | |
| # home_ownership, annual_inc, issue_d, loan_status, total_acc, addr_state. | |
| lending_club_small <- | |
| ########### | |
| # Part e | |
| # What does the substr function do? | |
| # what arguments does it use? | |
| ## ANSWER HERE |
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