fullstackatbrown/project-bop
Mar 2025 – Apr 2025
2 Months active
Languages Used
CSVJavaScript
Technical Skills
CSV ParsingChart.jsData VisualizationFront End DevelopmentFrontend DevelopmentReact
Khoi Le
PROFILE
Khoi Le
Worked on the fullstackatbrown/project-bop repository to deliver three user-facing features focused on poll data analytics and visualization. Developed CSV parsing utilities in JavaScript and Node.js to convert raw poll data into structured results, supporting header handling, per-question aggregation, and robust file ingestion via fs. Refactored the frontend in React to decouple data parsing from chart rendering, enabling dynamic, question-based visualizations using Chart.js. Implemented a one-click PDF export for poll reports, streamlining user workflows. The work established scalable data processing patterns, improved poll analytics pipelines, and accelerated data-driven insights, with an emphasis on maintainability and extensibility across the codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
1,194
Activity Months2
Your Network
10 peopleWork History
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 (2025-04) summary for fullstackatbrown/project-bop: Delivered a robust CSV poll data parsing capability and file-based ingestion, enabling reliable extraction of structured poll statistics and downstream analytics. Implemented parsePollCSV to convert CSV data into structured poll results with header handling, per-question aggregation, quoted values, and option counting; extended parsePollCSVFromFile to read from a file path using fs while preserving the output structure. These changes streamline the poll analytics pipeline, reduce manual data wrangling, and accelerate data-driven decisions. No major bugs were reported this month. Technologies demonstrated include JavaScript/Node.js, fs, CSV parsing, and data transformation; impact includes improved data quality and scalability of poll analytics.
2 Commits • 1 Features
Apr 1, 2025April 2025 (2025-04) summary for fullstackatbrown/project-bop: Delivered a robust CSV poll data parsing capability and file-based ingestion, enabling reliable extraction of structured poll statistics and downstream analytics. Implemented parsePollCSV to convert CSV data into structured poll results with header handling, per-question aggregation, quoted values, and option counting; extended parsePollCSVFromFile to read from a file path using fs while preserving the output structure. These changes streamline the poll analytics pipeline, reduce manual data wrangling, and accelerate data-driven decisions. No major bugs were reported this month. Technologies demonstrated include JavaScript/Node.js, fs, CSV parsing, and data transformation; impact includes improved data quality and scalability of poll analytics.
April 2025
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for the project-bop repository (fullstackatbrown/project-bop). Delivered two user-facing features enabling richer poll reporting and data-driven visualizations, with a focus on business value and scalable data workflows. No major bugs documented for this period based on the provided data.
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for the project-bop repository (fullstackatbrown/project-bop). Delivered two user-facing features enabling richer poll reporting and data-driven visualizations, with a focus on business value and scalable data workflows. No major bugs documented for this period based on the provided data.
Activity
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Quality Metrics
Correctness92.6%
Maintainability87.6%
Architecture82.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVJavaScript
Technical Skills
CSV ParsingChart.jsData ProcessingData VisualizationFile I/OFront End DevelopmentFrontend DevelopmentJavaScriptNode.jsReact
Repositories Contributed To
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