📅 2025-06-08 — Session: Developed Python visualizations for financial data analysis
🕒 18:25–18:50
🏷️ Labels: Python, Data Visualization, Financial Analysis, Matplotlib, Cumulative Sum
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop Python-based visualizations for analyzing financial data, focusing on cumulative sums and monthly bar plots.
Key Activities
- Implemented a bar plot for ‘Credit PM_Cobros’ using Python to visualize cumulative monthly sums.
- Created a stacked bar plot with cumulative sum lines for financial indicators, providing detailed implementation and rationale.
- Developed a monthly bar plot for ‘Credit PM_Contribucion’ to enhance visual analysis of financial contributions.
- Generated a bar plot for ‘Debit PM_Cambio’, including annotations for monthly totals and cumulative sums.
- Designed a stacked bar plot for monthly outflows, highlighting visualization advantages and customization options.
- Improved color distinction in stacked bar plots for better category visualization.
- Outlined a workflow for analyzing monthly net flux in financial data, including data loading, processing, and plotting.
Achievements
- Successfully implemented multiple Python visualizations for financial data analysis, enhancing clarity and insight into financial trends.
Pending Tasks
- Further customization of color palettes for stacked bar plots to enhance visual distinction.
- Review and refine the workflow for analyzing monthly net flux to ensure accuracy and efficiency.