Executed comprehensive data and automation workflows

• Day: 2025-12-10
• Time: 19:40 to 20:50
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Data Normalization, Automation, Git, Python, CSV, Visualization

Description

Session Goal: The session aimed to execute a series of comprehensive workflows for data normalization, automation, and diagnostics.

Key Activities:

1. Git Repository Setup: Initialized a Git repository with essential configurations and milestone documentation.
2. Data Normalization Plans: Developed detailed plans for normalizing and canonicalizing data columns using Python scripts, emphasizing fuzzy matching and manual reviews.
3. Extractor and Pipeline Diagnostics: Diagnosed and recommended improvements for data extraction and model matching pipelines, including regex patterns and Python code fixes.
4. CSV Diagnostics: Conducted diagnostics on CSV files, identifying data quality issues and recommending normalization into structured tables.
5. [[Data Visualization]] Planning: Outlined a plan for creating data visualizations from cleaned tables, focusing on interpretable and impactful plots.

Achievements: Successfully executed and documented workflows for Git setup, data normalization, and diagnostics. Identified and recommended fixes for data extraction and pipeline issues. Developed a structured plan for data visualizations.

Pending Tasks: Implement the recommended fixes for data extraction pipelines and execute the [[data visualization]] plan.

Evidence

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• event_ids: []