Validated and visualized data models for analysis

• Day: 2024-12-31
• Time: 19:05 to 19:45
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Model Validation, Data Visualization, Financial Modeling, Debt Model, Python

Description

Session Goal

The session aimed to validate a model for calculating recharge based on observed data and enhance [[data visualization]] techniques.

Key Activities

• Model Validation: Steps were outlined to validate the model, including formula derivation, data extraction, computation of fractions, consistency analysis, and visualization.
• Plot Enhancement: An updated plot with enhanced grid design was created, featuring dashed, semi-opaque subgrid lines.
• Plot Correction: Adjustments were made to a plot using the Cuenta variable as the hue, with index reset for separate plotting.
• Financial Model Normalization: Methods to normalize compounding rates in financial models were outlined, providing a formula and implementation steps.
• Debt Model Simplification: Discussed using a ballpark value for the normalized rate in a debt model to ensure simplicity, consistency, and scalability.

Achievements

• Successfully validated the model and enhanced [[data visualization]] techniques.
• Corrected and improved plot designs for better clarity and analysis.
• Clarified methods for normalizing financial models and simplifying debt models.

Pending Tasks

• Further feedback and adjustments on the updated plot design are needed to optimize visualization.
• Implementation of normalized rates in the financial model requires further testing.

Evidence

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• event_ids: []