Enhanced Data Integrity in Electoral CSV Files

• Day: 2025-10-26
• Time: 16:40 to 17:30
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Data Integrity, CSV, Data Processing, Ubuntu, Sampling

Description

Session Goal: The session aimed to enhance data integrity in electoral CSV files and improve data processing workflows.

Key Activities:

• Verified duplicate CSV files using SHA-256 checksums to ensure byte-for-byte identity.
• Identified data integrity issues in electoral CSV files, including duplicates and a contaminated 2013 file.
• Quarantined the contaminated file and recommended tightening data extraction policies.
• Evaluated data ingestion processes, identifying strengths and weaknesses, and proposed targeted fixes.
• Conducted a data hygiene check, providing recommendations and code fixes for improvement.
• Explored sampling methods for large CSV files in Ubuntu, including random and systematic sampling, to facilitate quick audits.

Achievements:

• Successfully identified and quarantined a contaminated CSV file, preventing potential data integrity issues.
• Improved understanding of data ingestion health and proposed actionable fixes.
• Enhanced data processing workflows with effective sampling techniques.

Pending Tasks:

• Implement the recommended code fixes for data hygiene improvements.
• Review and update data extraction policies to prevent future contamination.

Evidence

• source_file=2025-10-26.sessions.jsonl, line_number=1, event_count=0, session_id=756b9c2a22b00961c5966b85d1e2646ba32492b5c6d27287f2b5a31446b18a71
• event_ids: []