["size_categories:1K<n<10K", "format:parquet", "modality:tabular", "modality:text", "library:datasets", "library:pandas", "library:mlcroissant", "library:polars", "region:us"]
[{"name": "Household_Weekly_Expenditure", "dtype": "string"}, {"name": "Monthly_Household_Income", "dtype": "string"}, {"name": "Number_of_Household_Dependents", "dtype": "float64"}, {"name": "Age_of_Head_of_Household", "dtype": "float64"}, {"name": "Household_Size", "dtype": "float64"}, {"name": "Education_Level", "dtype": "string"}, {"name": "Employment_Status", "dtype": "string"}, {"name": "Location", "dtype": "string"}, {"name": "Savings_Rate", "dtype": "float64"}, {"name": "Weekly_Savings", "dtype": "float64"}, {"name": "Monthly_Rent", "dtype": "string"}, {"name": "Loan_Repayment", "dtype": "float64"}, {"name": "Transport_Expenses", "dtype": "float64"}, {"name": "Utility_Bills", "dtype": "float64"}]