📅 2025-12-10 — Session: Executed comprehensive data and automation workflows
🕒 19:40–20:50
🏷️ Labels: Data Normalization, Automation, Git, Python, CSV, Visualization
📂 Project: Dev
Session Goal: The session aimed to execute a series of comprehensive workflows for data normalization, automation, and diagnostics.
Key Activities:
- Git Repository Setup: Initialized a Git repository with essential configurations and milestone documentation.
- Data Normalization Plans: Developed detailed plans for normalizing and canonicalizing data columns using Python scripts, emphasizing fuzzy matching and manual reviews.
- Extractor and Pipeline Diagnostics: Diagnosed and recommended improvements for data extraction and model matching pipelines, including regex patterns and Python code fixes.
- CSV Diagnostics: Conducted diagnostics on CSV files, identifying data quality issues and recommending normalization into structured tables.
- [[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.