Personal Financial Management Dataset

Overview

This dataset contains detailed financial and demographic data for 20,000 individuals, focusing on income, expenses, and potential savings across various categories. The aim of this dataset is to provide insights into personal financial management and spending patterns.

Dataset Description

The dataset includes the following key features:

Income & Demographics

• Income: Monthly income in currency units.
• Age: Age of the individual.
• Dependents: Number of dependents supported by the individual.
• Occupation: Type of employment or job role.
• City_Tier: A categorical variable representing the living area tier (e.g., Tier 1, Tier 2).

Monthly Expenses

The dataset records various monthly expenses in the following categories:

• Rent
• Loan Repayment
• Insurance
• Groceries
• Transport
• Eating Out
• Entertainment
• Utilities
• Healthcare
• Education
• Miscellaneous

Financial Goals & Savings

• Desired_Savings_Percentage: The target percentage of monthly income that individuals aim to save.
• Desired_Savings: The target amount for monthly savings.
• Disposable_Income: Income remaining after all expenses are accounted for.

Potential Savings

Includes estimates of potential savings across different spending areas:

• Groceries
• Transport
• Eating Out
• Entertainment
• Utilities
• Healthcare
• Education
• Miscellaneous

Usage

This dataset can be utilized for various analyses, including but not limited to:

• Personal finance management studies
• Spending behavior analysis
• Savings potential estimation
• Demographic impact on financial habits

plt.figure(figsize = (15, 35))
for i, col in enumerate(df.columns, 1):
    plt.subplot(7, 4, i)
    sns.histplot(x = df[col])
    plt.title(f"Histogram of {col} Data")
    plt.plot()

License

This dataset is licensed under the MIT License. Feel free to use it for personal or research purposes.

Contact

For questions or feedback, please contact: