📅 2025-06-09 — Session: Financial Data Analysis and Visualization
🕒 03:00–04:10
🏷️ Labels: Python, Pandas, Data Visualization, Financial Analysis, Error Handling
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to enhance the analysis and visualization of financial data, focusing on contributions, dividends, and debt management.
Key Activities
- Developed Python scripts to generate quarterly and annual tables for family contributions and dividends using Pandas.
- Improved error handling for missing CSV files and optimized data visualization scripts for clarity and aesthetics.
- Created visualizations using subplots and stacked bar charts to represent financial data effectively.
- Addressed file path errors and provided solutions for missing data files.
- Enhanced Jupyter Notebooks with narrative points for better educational commentary.
Achievements
- Successfully generated detailed financial tables and visualizations.
- Improved error handling mechanisms and visualization aesthetics.
- Provided structured markdown templates for financial analysis.
Pending Tasks
- Verify and correct file paths for missing CSV files and ensure data availability for future analyses.