📅 2025-06-09 — Session: Developed Financial Data Analysis and Visualization Scripts
🕒 03:00–04:15
🏷️ Labels: Python, Data Analysis, Visualization, Financial Data, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop and optimize Python scripts for analyzing and visualizing financial data, focusing on generating tables and charts for contributions, dividends, and debt analysis.
Key Activities
- Data Analysis Scripts: Implemented Python scripts using Pandas to generate quarterly and annual tables for family contributions and dividends.
- Visualization Enhancements: Improved data visualization by optimizing Python scripts to create subplots and stacked bar charts, enhancing readability with clear legends and color differentiation.
- Error Handling: Addressed file management issues by providing troubleshooting steps for missing CSV files and ensuring code robustness.
- Narrative and Documentation: Enhanced Jupyter Notebooks with narrative points to improve educational commentary and clarity in financial analysis.
Achievements
- Successfully created and visualized financial tables and charts using Python and Pandas.
- Improved error handling for file management, ensuring smoother execution of scripts.
- Enhanced the narrative structure of financial analysis notebooks, providing clearer insights and educational value.
Pending Tasks
- Verify the existence and correct path of the
adjusted_debt.csvfile to ensure complete data processing. - Further refine the Markdown template for financial analysis to enhance clarity and presentation.