nychealth/EH-dataportal
May 2025 – Jul 2025
2 Months active
Languages Used
GeoJSONJavaScript
Technical Skills
Data CleaningData ValidationGeospatial Data AnalysisData UpdateFrontend DevelopmentJavaScript
Jack Goldsmith
PROFILE
Jack Goldsmith
Jack Gold contributed to the nychealth/EH-dataportal repository by developing two features focused on geospatial and demographic data quality. He implemented a GeoJSON shoreline clipping and data cleanup process using JavaScript, which improved the accuracy and usability of health geography datasets by removing illogical artifacts and aligning features to shoreline boundaries. In a separate update, he enhanced demographic data presentation by updating UHF datasets to 2019-2023, fixing age-based population rendering, and harmonizing neighborhood-level figures for consistency. His work combined data cleaning, validation, and frontend development, resulting in more reliable GIS analyses and clearer, up-to-date demographic insights for platform users.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
21,603
Activity Months2
Your Network
5 people
Work History
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for nychealth/EH-dataportal focused on demographic data enhancements for UHF. Delivered updated demographic data to 2019-2023, fixed rendering of age-based population percentages (65+, under 18), and harmonized neighborhood-level figures across UHF areas for consistency. Implemented time-period calculation fixes to ensure correct temporal alignment of demographics. These changes improve data accuracy, reliability, and cross-neighborhood comparability, strengthening decision-making and user trust in the platform.
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for nychealth/EH-dataportal focused on demographic data enhancements for UHF. Delivered updated demographic data to 2019-2023, fixed rendering of age-based population percentages (65+, under 18), and harmonized neighborhood-level figures across UHF areas for consistency. Implemented time-period calculation fixes to ensure correct temporal alignment of demographics. These changes improve data accuracy, reliability, and cross-neighborhood comparability, strengthening decision-making and user trust in the platform.
July 2025
May 2025
1 Commits • 1 Features
May 1, 2025For May 2025, delivered a GeoJSON shoreline clipping and data cleanup feature for nychealth/EH-dataportal, significantly improving the accuracy and usability of geographic health data. The change clips geojson features to shoreline boundaries and removes illogical artifacts (e.g., misplaced piers), reducing noise and enabling reliable GIS-based visualization and analyses. This work is accompanied by clear commit traceability.
May 2025
1 Commits • 1 Features
May 1, 2025For May 2025, delivered a GeoJSON shoreline clipping and data cleanup feature for nychealth/EH-dataportal, significantly improving the accuracy and usability of geographic health data. The change clips geojson features to shoreline boundaries and removes illogical artifacts (e.g., misplaced piers), reducing noise and enabling reliable GIS-based visualization and analyses. This work is accompanied by clear commit traceability.
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture73.4%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
GeoJSONJavaScript
Technical Skills
Data CleaningData UpdateData ValidationFrontend DevelopmentGeospatial Data AnalysisJavaScript
Repositories Contributed To
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