A comprehensive, professional-grade tool for financial data analysis and automated PDF report generation. This tool transforms raw financial CSV data into insightful, visually appealing financial reports with minimal user input.
- Financial Ratio Calculations: Debt-to-Equity, Current Ratio, ROA, Cash Flow Margin
- Budget Variance Analysis: Actual vs. planned performance metrics
- Financial Health Indicators: Comprehensive risk and performance assessment
- Monthly Financial Summaries: Aggregated performance metrics by period
- Smart Data Cleaning: Automatic handling of missing values and data type inference
- Financial Data Validation: Ensures data integrity for financial calculations
- Duplicate Detection: Identifies and removes duplicate financial records
- Data Quality Assessment: Comprehensive evaluation of financial data completeness
- Financial Performance Dashboard: 4-panel comprehensive overview
- Cash Flow Analysis: Trend analysis and pattern identification
- Profit & Loss Trends: Revenue vs. expenses visualization
- Financial Ratio Trends: Debt-to-equity and liquidity ratios
- Investment Performance: ROI analysis and investment correlation
- Correlation Heatmaps: Financial variable relationships
- Distribution Analysis: Statistical distribution of financial metrics
- Professional PDF Generation: High-quality, branded financial reports
- Financial Executive Summary: Key performance highlights and insights
- Risk Assessment Section: Comprehensive financial risk analysis
- Strategic Recommendations: Actionable financial improvement suggestions
- Financial Metrics Analysis: Detailed ratio and performance analysis
- Python 3.7 or higher
- pip package manager
# Clone or download the project
cd "Python Report Generator"
# Install required packages
pip install -r requirements.txt
# Run the tool
python main.pyUse the provided run_analysis.bat file for easy execution:
run_analysis.bat-
Run the application:
python main.py
-
Provide CSV path when prompted:
Enter the path to your CSV file: sample_data.csv -
Review the analysis as it processes:
- Data loading and inspection
- Financial metrics calculation
- Visualization generation
- Report creation
-
Access your report: The PDF will be saved as
Financial_Analysis_Report_YYYYMMDD_HHMMSS.pdf
For first-time users, run the quick start script:
python quick_start.pyThis will analyze the included sample_data.csv file and demonstrate all features.
Your CSV should include financial columns such as:
- Revenue: Income amounts
- Expenses: Cost amounts
- Profit: Net income
- Cash_Flow: Operating cash flow
- Investments: Capital expenditures
- Debt: Outstanding debt
- Assets: Total assets
- Liabilities: Total liabilities
- Date: Transaction dates
- Month: Period identifiers
- Total Revenue: $3,875,000.00
- Total Profit: $1,240,000.00
- Average Profit Margin: 32.0%
- Average ROI: 8.0%
- Debt-to-Equity Ratio: 0.67
- Current Ratio: 2.5
- Financial Performance Dashboard (4-panel overview)
- Financial Health Ratios (trends and averages)
- Distribution Analysis (statistical patterns)
- Correlation Heatmap (variable relationships)
- Time Series Analysis (performance trends)
- Scatter Plot Analysis (metric relationships)
- Executive Summary - Key financial highlights
- Financial Performance Overview - Metrics and summaries
- Data Quality Assessment - Data integrity analysis
- Financial Metrics Analysis - Ratio and performance analysis
- Key Financial Insights - Visualizations with interpretations
- Risk Assessment - Financial risk analysis
- Strategic Recommendations - Actionable improvement suggestions
- Profitability: Profit Margin, ROA, ROI
- Liquidity: Current Ratio, Cash Flow Margin
- Leverage: Debt-to-Equity Ratio
- Efficiency: Expense Ratio, Revenue Growth
- Liquidity Risk: Cash flow and working capital analysis
- Leverage Risk: Debt levels and capital structure
- Operational Risk: Cost efficiency and profit margins
- Investment Risk: Portfolio performance and diversification
- Revenue Analysis: Growth trends and patterns
- Expense Management: Cost structure optimization
- Cash Flow: Operational cash generation
- Investment Returns: Performance and correlation analysis
The tool automatically calculates additional financial ratios when relevant columns are present:
- Expense Ratio: Expenses / Revenue
- Revenue Growth: Period-over-period changes
- Cash Flow Margin: Cash Flow / Revenue
Extend the DataVisualizer class to add:
- Custom financial charts
- Industry-specific metrics
- Advanced statistical analysis
- Interactive dashboards
Modify the ReportGenerator class for:
- Company branding
- Custom financial sections
- Industry-specific terminology
- Additional analysis types
Python Report Generator/
├── main.py # Main application with financial analysis
├── quick_start.py # Quick start script for sample data
├── run_analysis.bat # Windows launcher script
├── requirements.txt # Python dependencies
├── README.md # This documentation
└── sample_data.csv # Sample financial dataset
- Currency amounts (Revenue, Expenses, Profit)
- Percentages (Profit Margin, ROI)
- Ratios (Debt-to-Equity, Current Ratio)
- Counts (Units, Transactions)
- Month names
- Department codes
- Product categories
- Geographic regions
- Transaction dates
- Period identifiers
- Fiscal year markers
- Data Size: Best performance with datasets under 100,000 rows
- Memory Usage: Large datasets may require significant RAM
- File Format: Currently supports CSV format only
- Financial Standards: Basic financial ratios; may need customization for industry-specific metrics
- Optimize CSV files: Remove unnecessary columns before analysis
- Data Quality: Ensure clean, consistent financial data
- Memory Management: Close other applications for large datasets
- Regular Updates: Keep dependencies updated for best performance
"Module not found" errors
pip install -r requirements.txtMemory errors with large datasets
- Close other applications
- Reduce dataset size
- Process data in chunks
Visualization errors
- Ensure matplotlib backend is set to 'Agg'
- Check for missing financial columns
- Verify data types are correct
- Check the console output for specific error messages
- Verify your CSV file structure matches the expected format
- Ensure all required packages are installed
- Review the sample data format for reference
- Generate comprehensive monthly financial reports
- Track key performance indicators over time
- Identify trends and patterns in financial data
- Provide executive summaries for stakeholders
- Analyze revenue and expense trends
- Assess profitability and efficiency metrics
- Evaluate investment performance and ROI
- Monitor cash flow and working capital
- Calculate financial health ratios
- Assess liquidity and leverage risks
- Monitor compliance with financial covenants
- Generate risk reports for management
- Identify cost optimization opportunities
- Analyze investment performance correlations
- Develop data-driven financial strategies
- Support budgeting and forecasting processes
This tool is designed to be easily extensible. Key areas for enhancement:
- Additional financial ratios and metrics
- Industry-specific analysis modules
- Enhanced visualization options
- Integration with financial databases
- Real-time data processing capabilities
This project is provided as-is for educational and professional use. Feel free to modify and extend for your specific financial analysis needs.
Transform your financial data into actionable insights with the Python Financial Report Generator! 🚀📊💰