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What is EDA in Credit Risk Analysis Assignment about?

The document discusses analyzing a credit application dataset to identify patterns that indicate the likelihood of a client defaulting on a loan. Scatter plots and box plots are used to identify outliers. A pie chart shows the data is imbalanced with most clients not defaulting. Further analysis includes comparing categorical variables by default status, bivariate analysis of credit amounts and income types, and correlation heat maps. Key findings are higher defaults for clients living in rented apartments

Author

Umang A Agrawal

Language

EN