📅 2025-06-08 — Session: Developed Advanced Financial Data Visualizations
🕒 18:50–19:25
🏷️ Labels: Python, Data Visualization, Matplotlib, Pandas, Financial Analysis
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance financial data visualization techniques using Python, focusing on integrating custom lines, cumulative sums, and standardized plots.
Key Activities
- Integrated a custom line from CSV files onto existing bar and cumulative net flux plots using Python and Matplotlib.
- Implemented a Python script to create monthly financial plots with cumulative sums using Matplotlib and Pandas.
- Developed visually appealing debt plots in both pesos and USD, utilizing pandas and matplotlib.
- Proposed visualization techniques for service contributions using stacked bar and cumulative line plots.
- Standardized stacked barplots for contribution categories, emphasizing color coding and axis labeling.
- Verified file paths for script execution, troubleshooting issues with locating CSV files.
- Designed quarterly financial plots for ‘gastos_FB’ with annotations and consistent styling.
- Refined data visualization for multiple financial variables, ensuring consistency in color-coding and cumulative line representation.
Achievements
- Successfully integrated various advanced visualization techniques into financial analysis scripts.
- Standardized plotting methods for consistent visual representation across different datasets.
Pending Tasks
- Further testing of the integrated scripts to ensure robustness across different datasets.
- Exploration of additional enhancements for debt plot visualizations.