vkoves/electrify-chicago
May 2025 – Jun 2025
2 Months active
Languages Used
CSSHTMLJavaScriptSCSSTypeScriptVueCSVPython
Technical Skills
D3.jsData VisualizationFrontend DevelopmentVue.jsBackend DevelopmentComponent Development
Hunter Yeago
PROFILE
Hunter Yeago
Hyeago contributed to the vkoves/electrify-chicago repository by developing interactive data visualization features and a robust data processing pipeline. Over two months, Hyeago built a reusable scatterplot component in Vue.js using D3.js, enabling clear visualization of emissions trends and supporting future interactivity. The work included integrating historical citywide statistics, refining the frontend to display metrics, and implementing backend data processing in Python to compute year-over-year statistics and standardize data inputs. Hyeago also restored and cleaned the Building Benchmarks dataset, ensuring accurate visuals and reliable analytics. The engineering demonstrated depth in component architecture, data handling, and iterative, quality-focused development.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
14Total
Bugs
1
Commits
14
Features
3
Lines of code
18,430
Activity Months2
Your Network
12 people
Work History
June 2025
12 Commits • 2 Features
Jun 1, 2025For June 2025, vkoves/electrify-chicago delivered significant frontend visualization improvements and a robust data processing pipeline to support historic citywide statistics, complemented by targeted data corrections. Frontend work delivered a Citywide Stats page with a reusable scatterplot component, integration of historical data, and UI refinements to display citywide metrics and trends. The data pipeline was extended to compute year-over-year statistics, standardize file naming, and handle multi-year inputs. A dataset restoration corrected the Building Benchmarks dataset to a stable baseline, ensuring accurate historical and current benchmarking visuals. These efforts collectively improve stakeholder visibility into citywide emissions, enable faster data-driven decisions, and strengthen data quality and reliability.
12 Commits • 2 Features
Jun 1, 2025For June 2025, vkoves/electrify-chicago delivered significant frontend visualization improvements and a robust data processing pipeline to support historic citywide statistics, complemented by targeted data corrections. Frontend work delivered a Citywide Stats page with a reusable scatterplot component, integration of historical data, and UI refinements to display citywide metrics and trends. The data pipeline was extended to compute year-over-year statistics, standardize file naming, and handle multi-year inputs. A dataset restoration corrected the Building Benchmarks dataset to a stable baseline, ensuring accurate historical and current benchmarking visuals. These efforts collectively improve stakeholder visibility into citywide emissions, enable faster data-driven decisions, and strengthen data quality and reliability.
June 2025
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for vkoves/electrify-chicago focusing on feature delivery, impact, and technical capabilities. Delivered a foundational Interactive Scatterplot Visualization (Vue + D3) with Tooltip, establishing a reusable visualization component to depict emissions over years with a line and data points. This initial implementation emphasizes core visualization logic and sets the groundwork for interactivity (tooltip hover, future filters) and richer analytics. No explicit major bugs reported this month; the emphasis was on feature delivery, code quality, and laying groundwork for data storytelling dashboards. The work enhances our front-end storytelling capability and positions the product for faster iteration on data-driven insights.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for vkoves/electrify-chicago focusing on feature delivery, impact, and technical capabilities. Delivered a foundational Interactive Scatterplot Visualization (Vue + D3) with Tooltip, establishing a reusable visualization component to depict emissions over years with a line and data points. This initial implementation emphasizes core visualization logic and sets the groundwork for interactivity (tooltip hover, future filters) and richer analytics. No explicit major bugs reported this month; the emphasis was on feature delivery, code quality, and laying groundwork for data storytelling dashboards. The work enhances our front-end storytelling capability and positions the product for faster iteration on data-driven insights.
Activity
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Quality Metrics
Correctness87.2%
Maintainability86.6%
Architecture73.6%
Performance81.6%
AI Usage22.8%
Skills & Technologies
Programming Languages
CSSCSVHTMLJavaScriptPythonSCSSTypeScriptVue
Technical Skills
Backend DevelopmentComponent DevelopmentComponent-Based ArchitectureD3.jsData AnalysisData EngineeringData HandlingData ManagementData ProcessingData VisualizationFront End DevelopmentFrontend DevelopmentPython ScriptingScriptingVue.js
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