Developed Python visualizations for financial data analysis

• Day: 2025-06-08
• Time: 18:25 to 18:50
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Data Visualization, Financial Analysis, Matplotlib, Cumulative Sum

Description

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.

Evidence

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• event_ids: []