chicagomaroon/data-visualizations
May 2025 – Jan 2026
8 Months active
Languages Used
CSVHTMLJavaScriptPNGPythonCSSJSONSVG
Technical Skills
API integrationHighchartsJavaScriptPlotninePolarsPython
Karen
PROFILE
Karen
Karen Yi developed and maintained the chicagomaroon/data-visualizations repository, delivering a robust suite of data-driven dashboards and interactive visualizations for financial and governance analytics. She engineered reliable data pipelines using Python and JavaScript, integrating APIs, web scraping, and regex-based parsing to ingest, clean, and validate complex datasets such as SEC filings and IRS Form 990s. Karen enhanced front-end experiences with D3.js and Plotly, focusing on responsive UI/UX and accessibility. Her work included modularizing PDF and XML parsing, externalizing data assets, and refining chart interactions, resulting in scalable, maintainable code and consistently accurate, business-ready visual insights across evolving data sources.
Overall Statistics
Feature vs Bugs
77%Features
Repository Contributions
200Total
Bugs
23
Commits
200
Features
75
Lines of code
48,101
Activity Months8
Your Network
6 peopleWork History
January 2026
97 Commits • 31 Features
Jan 1, 20262026-01 monthly summary for chicagomaroon/data-visualizations. Focused on delivering mobile-first UI, stabilizing chart interactions, and updating data pipelines for 2024-2025 datasets. Key features delivered include Mobile-Optimized UI and Typography, Brand/SVG asset cleanup, Show/Hide chart container behavior, Sankey data handling improvements, and SVG-related UI refinements. Major bug fixes addressed interaction controls and rendering edge cases (e.g., hide/show controls, disable Sankey drag, removal of problematic interactions, and chart container show/hide). Additional fixes covered data handling, layout stability, and mobile positioning to ensure consistent visuals across devices. Overall, the month improved reliability, accessibility, and speed of data visualization delivery while updating datasets and documentation for downstream reporting. Technologies and skills demonstrated include D3/Sankey SVG manipulation, responsive UI/UX design, Python data processing scripts (e.g., clean-data.py), data formatting (formatThousands), and code quality improvements (lint/format).
97 Commits • 31 Features
Jan 1, 20262026-01 monthly summary for chicagomaroon/data-visualizations. Focused on delivering mobile-first UI, stabilizing chart interactions, and updating data pipelines for 2024-2025 datasets. Key features delivered include Mobile-Optimized UI and Typography, Brand/SVG asset cleanup, Show/Hide chart container behavior, Sankey data handling improvements, and SVG-related UI refinements. Major bug fixes addressed interaction controls and rendering edge cases (e.g., hide/show controls, disable Sankey drag, removal of problematic interactions, and chart container show/hide). Additional fixes covered data handling, layout stability, and mobile positioning to ensure consistent visuals across devices. Overall, the month improved reliability, accessibility, and speed of data visualization delivery while updating datasets and documentation for downstream reporting. Technologies and skills demonstrated include D3/Sankey SVG manipulation, responsive UI/UX design, Python data processing scripts (e.g., clean-data.py), data formatting (formatThousands), and code quality improvements (lint/format).
January 2026
December 2025
28 Commits • 11 Features
Dec 1, 2025December 2025: Delivered a data-centric overhaul and visualization enhancements for chicagomaroon/data-visualizations. Focused on data integrity, scalable assets, and UI polish to drive clearer insights and faster iteration on dashboards. The month included a consolidated data model, externalized data assets, new chart types, and a streamlined rendering path that improves performance and consistency across visuals.
December 2025
28 Commits • 11 Features
Dec 1, 2025December 2025: Delivered a data-centric overhaul and visualization enhancements for chicagomaroon/data-visualizations. Focused on data integrity, scalable assets, and UI polish to drive clearer insights and faster iteration on dashboards. The month included a consolidated data model, externalized data assets, new chart types, and a streamlined rendering path that improves performance and consistency across visuals.
November 2025
28 Commits • 12 Features
Nov 1, 2025November 2025 monthly performance summary for chicagomaroon/data-visualizations: Delivered a suite of data-visualization improvements including robust PDF parsing, interactive chart integrations, UI enhancements, and data preparation for governance analytics; fixed critical stability issues and improved maintainability. Business value: enabled more reliable data extraction from Form 990s, richer visual storytelling in articles, and cleaner codebase for future iterations.
28 Commits • 12 Features
Nov 1, 2025November 2025 monthly performance summary for chicagomaroon/data-visualizations: Delivered a suite of data-visualization improvements including robust PDF parsing, interactive chart integrations, UI enhancements, and data preparation for governance analytics; fixed critical stability issues and improved maintainability. Business value: enabled more reliable data extraction from Form 990s, richer visual storytelling in articles, and cleaner codebase for future iterations.
November 2025
October 2025
23 Commits • 13 Features
Oct 1, 2025October 2025: Delivered a focused set of data-visualization improvements with an emphasis on reliability, clarity, and business-ready analytics for the Chicago Maroon data-visualizations platform. Key work included NLP-driven analytics for stock industries, upgrades to the visualization stack, data quality and categorization improvements, and UI refinements to support faster, more confident decision-making for stakeholders.
October 2025
23 Commits • 13 Features
Oct 1, 2025October 2025: Delivered a focused set of data-visualization improvements with an emphasis on reliability, clarity, and business-ready analytics for the Chicago Maroon data-visualizations platform. Key work included NLP-driven analytics for stock industries, upgrades to the visualization stack, data quality and categorization improvements, and UI refinements to support faster, more confident decision-making for stakeholders.
September 2025
7 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for chicagomaroon/data-visualizations: Delivered major SEC filings analytics enhancements and IRS Form 990 ingestion/export, improving data parsing, categorization, grouping, and visualization readiness. Fixed key parsing bugs and group consolidation, enabling reliable dashboards and downstream analytics.
7 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for chicagomaroon/data-visualizations: Delivered major SEC filings analytics enhancements and IRS Form 990 ingestion/export, improving data parsing, categorization, grouping, and visualization readiness. Fixed key parsing bugs and group consolidation, enabling reliable dashboards and downstream analytics.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 20252025-08 Monthly Summary for chicagomaroon/data-visualizations: Delivered a feature to enhance data parsing reliability in the Clean-Data script, with a refactor of regex patterns to support a broader range of numeric values and improve data integrity during processing. No major bugs fixed this month in this repo. Impact: more reliable dashboards, reduced downstream parsing errors, enabling faster and more accurate analytics. Technologies/skills demonstrated include Python, regex engineering, and ETL/data quality assurance.
August 2025
1 Commits • 1 Features
Aug 1, 20252025-08 Monthly Summary for chicagomaroon/data-visualizations: Delivered a feature to enhance data parsing reliability in the Clean-Data script, with a refactor of regex patterns to support a broader range of numeric values and improve data integrity during processing. No major bugs fixed this month in this repo. Impact: more reliable dashboards, reduced downstream parsing errors, enabling faster and more accurate analytics. Technologies/skills demonstrated include Python, regex engineering, and ETL/data quality assurance.
July 2025
4 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for chicagomaroon/data-visualizations focusing on delivering reliable investment data insights and robust visualization pipelines. Key features delivered include real-world portfolio holdings scraping for Vanguard ETFs (VOO and VT) with improved parsing, error handling, and precise investment amount calculations, along with data enrichment using SIPRI to identify investments linked to weapons manufacturing. A critical bug fix corrected data ordering in chart series to ensure accurate visualizations. These efforts collectively enhanced data accuracy, reliability, and the ability to identify armaments-related investments, supporting better oversight and decision-making.
4 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for chicagomaroon/data-visualizations focusing on delivering reliable investment data insights and robust visualization pipelines. Key features delivered include real-world portfolio holdings scraping for Vanguard ETFs (VOO and VT) with improved parsing, error handling, and precise investment amount calculations, along with data enrichment using SIPRI to identify investments linked to weapons manufacturing. A critical bug fix corrected data ordering in chart series to ensure accurate visualizations. These efforts collectively enhanced data accuracy, reliability, and the ability to identify armaments-related investments, supporting better oversight and decision-making.
July 2025
May 2025
12 Commits • 3 Features
May 1, 2025Concise monthly summary for 2025-05 focusing on key features delivered, major bugs fixed, overall impact, and technologies demonstrated for the chicagomaroon/data-visualizations repository. The month delivered three production features with robust data pipelines, significant cleanup and reliability improvements, and stronger business value through improved data accuracy and richer visuals.
May 2025
12 Commits • 3 Features
May 1, 2025Concise monthly summary for 2025-05 focusing on key features delivered, major bugs fixed, overall impact, and technologies demonstrated for the chicagomaroon/data-visualizations repository. The month delivered three production features with robust data pipelines, significant cleanup and reliability improvements, and stronger business value through improved data accuracy and richer visuals.
Activity
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Quality Metrics
Correctness92.8%
Maintainability88.0%
Architecture87.8%
Performance87.4%
AI Usage28.2%
Skills & Technologies
Programming Languages
CSSCSVHTMLJSONJavaScriptN/APNGPythonSVGText
Technical Skills
API integrationBeautifulSoupCSSCSS stylingCSV handlingD3.jsHTMLHighchartsJSONJavaScriptJavaScript developmentJavaScript frameworksJavaScript librariesNLPNumPy
Repositories Contributed To
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