📅 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.