sbarman-mi9 / creditscoring

Petit example of credit scoring analysis

Credit Scoring

Petit example of credit scoring analysis based on the data mining course of my former PhD adviser Tomas Aluja

The project contains two datasets in csv format (raw data, and cleaned data), as well as the R scripts for the analysis

• Part 1 - Data Processing
• Part 2 - Profiling
• Part 3 - Principal Components Analysis
• Part 4 - Multiple Correspondence Analysis
• Part 5 - Clustering Analysis
• Part 6 - Decision Trees
• Part 7 - Logistic Regression

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The raw dataset is in the file "CreditScoring.csv" which contains 4455 rows and 14 columns:

1 Status	credit status
2 Seniority	job seniority (years)
3 Home	type of home ownership
4 Time	time of requested loan
5 Age	client's age
6 Marital	marital status
7 Records	existance of records
8 Job	type of job
9 Expenses	amount of expenses
10 Income	amount of income
11 Assets	amount of assets
12 Debt	amount of debt
13 Amount	amount requested of loan
14 Price	price of good