
During December 2025, Wipgarden57 enhanced population data modeling and density analytics in the dataforgoodfr/13_odis repository. They expanded data source coverage by integrating annual geographical codes, standardized area units from square meters to hectares, and refined density calculations to improve demographic insight accuracy. Using Python, SQL, and dbt, Wipgarden57 developed new models for population and area density, implemented targeted data extraction with year and region filters, and cleaned up documentation by removing obsolete notebooks. The work resulted in a more robust analytics pipeline, improved reporting readiness, and a well-documented codebase that supports future stakeholder reviews and ongoing enhancements.
December 2025 — Delivered major enhancements to population data modeling and density analytics in dataforgoodfr/13_odis, expanding data source coverage, standardizing units, and clarifying documentation. This work improves demographic insight accuracy, reporting readiness, and sustainability of the analytics pipeline.
December 2025 — Delivered major enhancements to population data modeling and density analytics in dataforgoodfr/13_odis, expanding data source coverage, standardizing units, and clarifying documentation. This work improves demographic insight accuracy, reporting readiness, and sustainability of the analytics pipeline.

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