📅 2024-12-31 — Session: Validated and visualized data models for analysis
🕒 19:05–19:45
🏷️ Labels: Model Validation, Data Visualization, Financial Modeling, Debt Model, Python
📂 Project: Dev
⭐ Priority: MEDIUM
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
Cuentavariable 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.