ANL252: This credit facility dataset to be analyzed comprises records of customers’ demographics, amount owed, repayment history: Python for Data Analytics Assignment, SUSS, Singapore

Answer all questions in this section.

Question 1

This credit facility dataset to be analyzed comprises records of customers’
demographics, amount owed, repayment history/status etc.
The data dictionary of this dataset is depicted in Appendix 1.

List the categorical and numeric variables in this dataset.

Question 2

Conduct four (4) data pre-processing tasks for the analysis of the data, explaining results obtained.

Question 3

Articulate five (5) relevant insights of the data, with supporting visualization for each insight.

Question 4

Perform linear regression modelling to predict the variable, B1, explaining the approach taken, including any further data pre-processing.

Question 5

State the linear regression equation and explain key insights from the results obtained in Question 4.

Question 6

Organization of Code The submitted Jupyter notebook will be accessed based on the following:-
• Readability, Consistency and Efficiency
• Well-documented