Developed and Validated Electoral Data Retrieval Pipeline

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📅 2025-10-27 — Session: Developed and Validated Electoral Data Retrieval Pipeline

🕒 14:30–15:10
🏷️ Labels: Electoral Data, API, Data Retrieval, Automation, Python, Bash
📂 Project: Dev

Session Goal

The session aimed to develop and validate a comprehensive data retrieval pipeline for the 2025 electoral results, utilizing both Bash and Python scripts to automate data capture and normalization processes.

Key Activities

  • Data Capture and Normalization: Implemented scripts in Bash and Python to capture raw electoral data and normalize it into CSV format.
  • API Query Development: Formulated structured API queries to retrieve electoral results from government sources, including the Ministry of the Interior and DINE.
  • Data Retrieval Plan: Outlined a dual-pass data collection strategy to gather national and district-level election results, incorporating validation steps.
  • Automation with Bash: Developed a Bash script to automate the retrieval process, generating a manifest CSV for tracking.
  • API Troubleshooting and Strategy: Diagnosed and strategized solutions for API interaction issues, including response validation and cookie management.
  • Data Processing and Quality Assurance: Established a workflow for processing electoral data, ensuring quality checks and utilizing Insomnia for API contracts.
  • JSON Response Validation: Analyzed API responses for data validity, suggesting monitoring scripts for future checks.
  • API Data Analysis: Investigated the API’s data population, noting the absence of data beyond 2023.

Achievements

  • Successfully developed a robust pipeline for capturing and normalizing electoral data.
  • Created effective API queries and retrieval plans for comprehensive data collection.
  • Automated the data retrieval process, improving efficiency and accuracy.
  • Identified and addressed key API interaction issues, enhancing data reliability.

Pending Tasks

  • Implement monitoring scripts to ensure ongoing data validation and capture for future election cycles.
  • Further investigate and address the lack of 2025 data in the API.

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