Question: The packages contains a data set used to predict whether a person will pay back a bank loan.It has 13predictor columns and a factor variable

The packages contains a data set used to predict whether a person will pay back a bank loan.It has 13predictor columns and a factor variable Status (the outcome).Verify how the data looks like and thinkthrough as to what will be the various type of feature engineering that would be required. Are there categorical variables, if yes, how many categories are there for each variables Are there any missing values? If some predictors are missing, should they be estimated via imputation? Are there variables with single values? Are any of the variables skewed? Do we need to scale the variables? Are the variables correlated? Is it helpful to transform predictors to be more symmetri

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