
Jinny Kim developed interactive data visualizations for the chicagomaroon/data-visualizations repository, focusing on property tax and campaign finance narratives relevant to Chicago’s local context. She engineered features using JavaScript, D3.js, and HTML/CSS, integrating geoJSON data pipelines and responsive design to support both desktop and mobile users. Her work included building reusable visualization patterns, refining UI layouts, and ensuring data quality through rigorous QA and documentation updates. By aligning JSON data loading and enhancing tabular and scrollytelling formats, Jinny improved editorial workflows and transparency for stakeholders, demonstrating depth in front end development, data analysis, and geospatial visualization engineering.
April 2026: Delivered eight property tax visualization visuals (Proptax #199–#206) for chicagomaroon/data-visualizations, focused on University of Chicago tax visuals. Key features include layout improvements, mobile responsiveness, HTML/CSS refinements, updated imagery, an Open Graph image, and updated content about tax payments and exemptions. Achieved a consistent, PR-driven delivery across multiple commits with rigorous QA checks and styling compliance.
April 2026: Delivered eight property tax visualization visuals (Proptax #199–#206) for chicagomaroon/data-visualizations, focused on University of Chicago tax visuals. Key features include layout improvements, mobile responsiveness, HTML/CSS refinements, updated imagery, an Open Graph image, and updated content about tax payments and exemptions. Achieved a consistent, PR-driven delivery across multiple commits with rigorous QA checks and styling compliance.
March 2026 focused on delivering a robust interactive property tax visualization narrative and supporting data visuals, plus documentation updates. No explicit major bugs were logged; quality was maintained through rigorous QA checks and UI refinements. The work established a reusable visualization pattern and improved editorial workflow for data-driven stories.
March 2026 focused on delivering a robust interactive property tax visualization narrative and supporting data visuals, plus documentation updates. No explicit major bugs were logged; quality was maintained through rigorous QA checks and UI refinements. The work established a reusable visualization pattern and improved editorial workflow for data-driven stories.
February 2026 monthly summary for chicagomaroon/data-visualizations: Delivered essential data readiness improvements for 2026 property tax visualizations and stabilized data loading paths to improve reliability and business insights.
February 2026 monthly summary for chicagomaroon/data-visualizations: Delivered essential data readiness improvements for 2026 property tax visualizations and stabilized data loading paths to improve reliability and business insights.
November 2024 — Delivered two new campaign finance visualizations for Chicago 2024 local elections in chicagomaroon/data-visualizations. Implemented HTML files with embedded CSS to present fundraising data in a clear tabular format for district- and school board-level insights, enabling quicker stakeholder review and editorial decision-making. No major bugs fixed this month; feature delivered and ready for review. This work enhances data storytelling, transparency, and reader understanding of local fundraising, and demonstrates solid HTML/CSS UI work, static data visualization, and Git-version control.
November 2024 — Delivered two new campaign finance visualizations for Chicago 2024 local elections in chicagomaroon/data-visualizations. Implemented HTML files with embedded CSS to present fundraising data in a clear tabular format for district- and school board-level insights, enabling quicker stakeholder review and editorial decision-making. No major bugs fixed this month; feature delivered and ready for review. This work enhances data storytelling, transparency, and reader understanding of local fundraising, and demonstrates solid HTML/CSS UI work, static data visualization, and Git-version control.

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