FA23 ACCT 504 – Assignment 1
Analytics and Disruptive Technologies 1
Using FA23_AR_DATA_SET.csv, answer the following questions using R/RStudio. Be sure to include BOTH your script and the answer you received. Remember there are many ways to answer these questions, so feel free to explore R/RStudio to answer these. You are welcome to use the help in RStudio, or even online searches, but ultimately the work must be your own work. Please do not collaborate or share with others for this first assignment.
1) 会计r语言作业代写
How many of each, customers/salespersons/loans, are in the dataset?
2) What is the average amount of “PRINCIPLE” paid for each Loan in the dataset?
3) Which Customer(s) has/have the most associated payments in the dataset (there may be ties)?
4) Create a histogram of Late Fee. Around what dollar value are most Late Fees (just provide $ amt bin and command used)?
5) 会计r语言作业代写
Excluding zeroes, is End Balance normally distributed? Provide 2 ways to support your answer.
6) Which customer shows up the most in the dataset? Which salesperson?
7) Which customer has paid the most in late fees? How much have they paid?
8) Which salesperson is associated with the largest total late fees? How much $ in late fees?
9) What is the mean difference between payments received within 10 days of the due date, and payments received 10 days or more over the due date?
10) 会计r语言作业代写
Which customer/salesperson pair has the most paid in late fees?
Please submit your answers to me in a TXT or R format through the Canvas site before 11:59pm on 9/14. Remember, this assignment should reflect only your work. You can use RStudio help and Google. If you have questions, please contact me. Please identify yourself on the first line of your submission.
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