NYPL/digital-collections
Jun 2025 – Jun 2025
1 Month active
Languages Used
JavaScriptTypeScript
Technical Skills
AnalyticsDebuggingFront End DevelopmentFrontend DevelopmentJavaScriptNext.js
Crystal N
PROFILE
Crystal N
Crystal Ngai contributed to the NYPL/digital-collections repository by delivering analytics instrumentation and code cleanup focused on improving measurement fidelity and maintainability. She implemented GA4 analytics rollout using JavaScript and TypeScript, introducing data layer pageview tracking with detailed collection and division tracking across key pages. To support quality assurance during rollout, she added targeted debugging logs, then streamlined the codebase by removing unnecessary console output. Crystal also developed a utility for tracking file download events, enhancing analytics coverage. Her work deepened the reliability of analytics data, reduced development noise, and established a more maintainable analytics codepath for future iterations.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
80
Activity Months1
Work History
June 2025
4 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for NYPL/digital-collections: Analytics instrumentation and code cleanup delivered to improve measurement fidelity, QA visibility, and maintainability. Key features include GA4 Analytics Rollout with data layer pageview tracking and division tracking across collection/division pages, supplemented by debugging logs to support rollout and verification. A file-download analytics tracking utility was added, with cleanup of noisy debugging output to streamline development. The work reduces data noise, enhances decision-making through reliable analytics, and tightens the analytics codepath for future iterations.
4 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for NYPL/digital-collections: Analytics instrumentation and code cleanup delivered to improve measurement fidelity, QA visibility, and maintainability. Key features include GA4 Analytics Rollout with data layer pageview tracking and division tracking across collection/division pages, supplemented by debugging logs to support rollout and verification. A file-download analytics tracking utility was added, with cleanup of noisy debugging output to streamline development. The work reduces data noise, enhances decision-making through reliable analytics, and tightens the analytics codepath for future iterations.
June 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture80.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
AnalyticsDebuggingFront End DevelopmentFrontend DevelopmentJavaScriptNext.jsReactTypeScript
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