Dаtа Set Bаckgrоund "Persоnal Financial Wellness Dataset" This dataset cоntains 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) Numerical (Continuous) 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. Monthly_Expenses_USD: Average monthly spending on living and household expenses. Debt_Amount_USD: Total outstanding debt owed by the individual. Investment_Amount_USD: Total amount invested in financial assets and accounts. Credit_Score: Numerical measure of the individual's creditworthiness. Financial_Literacy_Score: Score representing the individual's financial knowledge and skills. Monthly_Discretionary_Spending_USD : Monthly spending on non-essential goods and services. Emergency_Fund_Months: Number of months of expenses covered by emergency savings.