Consolidated external people and vote data notebooks

• Day: 2026-04-11
• Time: 10:20 to 10:25
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Data-Processing, Notebooks, Deduplication, Data-Quality, Voting

Description

Session Goal

Finalize and refine notebook workflows for consolidating external people records and integrating vote information into existing dataframes, while preserving current processing logic and improving data quality.

Key Activities

• Reviewed the execution plan for consolidating external people data from multiple sources, including voto and doc, and updating the corresponding dataframes.
• Evaluated the current data structures for person records and identified quality issues that could affect downstream analysis.
• Discussed duplicate handling rules: one duplicate was deemed semantically acceptable, but broader deduplication and normalization were flagged as necessary before scaling the workflow.
• Proposed minimal adjustments to the trajectories notebook, including deduplication, renaming the output file, and optionally adding a duplicate-check step.
• Outlined incremental changes to the 04_flags notebook section to add vote-information integration without breaking existing functionality.
• Diagnosed an aggregation error in voto_clean and specified a correction path for deriving flags from newly created categorical columns.

Achievements

• Clarified the consolidation workflow for external people creation and dataframe updates.
• Established practical data-quality recommendations for person records, especially around duplicates and type normalization.
• Defined a low-risk approach for extending notebook logic: preserve current behavior, append new vote-related processing, and keep categorical integrity intact.
• Identified the source of the vote aggregation issue and the intended fix for flag derivation.

Pending Tasks

• Implement deduplication and normalization for person records.
• Apply the minimal notebook edits for trajectories, including output renaming and optional duplicate checks.
• Update 04_flags with the new vote-integration block and verify compatibility with existing steps.
• Fix the voto_clean aggregation logic and validate the resulting flags against the categorical columns.
• Review the related notebook for any additional adjustments needed after integration.

Evidence

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• event_ids: []