Data Set Background “Personal Financial Wellness Dataset” T…
Data Set Background “Personal Financial Wellness Dataset” This dataset contains 1,000 individuals and is designed to study how demographic characteristics, income, expenses, debt, investments, and financial habits influence a person’s savings rate. Savings_Rate_Percent : Represents the percentage of income that an individual saves. (Response Variable) (Numeric) Age: Age of the individual in years. (Numeric) Employment_Status: Current employment situation of the individual. (Categorical) Education_Level: Highest level of education completed. (Categorical) Marital_Status: Current marital status of the individual. (Categorical) Housing_Type: Type of housing arrangement the individual lives in. (Categorical) Annual_Income_USD: Total yearly income earned in U.S. dollars. (Numeric) Monthly_Expenses_USD: Average monthly spending on living and household expenses. (Numeric) Debt_Amount_USD: Total outstanding debt owed by the individual. (Numeric) Investment_Amount_USD: Total amount invested in financial assets and accounts. (Numeric) Credit_Score: Numerical measure of the individual’s creditworthiness. (Numeric) Financial_Literacy_Score: Score representing the individual’s financial knowledge and skills. (Numeric) Monthly_Discretionary_Spending_USD: Monthly spending on non-essential goods and services. (Numeric) Emergency_Fund_Months: Number of months of expenses covered by emergency savings. (Numeric)
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