dataforgoodfr/13_potentiel_solaire
Sep 2025 – Sep 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Data AnalysisGeoPandasGeospatial AnalysisJupyter NotebookMatplotlibPandas
Laurent Basara
PROFILE
Laurent Basara
Developed a reproducible geospatial data quality analysis workflow for the dataforgoodfr/13_potentiel_solaire repository, focusing on educational establishments. Built a Jupyter Notebook and Python script to assess alignment between reported address coordinates and building footprints, enabling quantification of discrepancies through distance calculations and statistical summaries. Leveraged GeoPandas, Pandas, and Matplotlib to load, clean, and visualize geospatial data, supporting data-driven remediation prioritization. The approach provided a framework for understanding and addressing data quality issues, improving trust in downstream analysis and decision making. Work emphasized reproducibility and clarity, delivering a practical solution for geospatial data validation within the project’s context.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
7,663
Activity Months1
Your Network
18 peopleWork History
September 2025
1 Commits • 1 Features
Sep 1, 2025Month 2025-09 focused on delivering geospatial data quality insights for the dataforgoodfr/13_potentiel_solaire project. Delivered a reproducible workflow to assess alignment between address data and building footprints for educational establishments, enabling data-driven remediation prioritization and improved data trust for downstream analysis and decision making.
1 Commits • 1 Features
Sep 1, 2025Month 2025-09 focused on delivering geospatial data quality insights for the dataforgoodfr/13_potentiel_solaire project. Delivered a reproducible workflow to assess alignment between address data and building footprints for educational establishments, enabling data-driven remediation prioritization and improved data trust for downstream analysis and decision making.
September 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data AnalysisGeoPandasGeospatial AnalysisJupyter NotebookMatplotlibPandasPython
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