newtfire/textAnalysis-Hub
Jan 2026 – Jan 2026
1 Month active
Languages Used
JavaScriptSVGXMLXSLT
Technical Skills
SVGSVG GenerationSVG graphicsXMLXML ProcessingXSLT
maw6784
PROFILE
Maw6784
Developed a scalable SVG Visualization Framework for the newtfire/textAnalysis-Hub repository, focusing on reusable vector-based components for data storytelling in analytics dashboards and reports. Leveraged JavaScript, SVG, and XSLT to generate dynamic visualizations from sales data and XML content, integrating asset management for efficient workflow. Delivered customizable SVG smiley visualizations with configurable facial attributes to represent emotions or events, enhancing the expressiveness of data displays. The approach established a flexible pipeline for rapid iteration and clear communication of insights to stakeholders. Emphasized modular SVG generation and XML processing, supporting maintainable front-end development and graphic design within a data visualization context.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
2
Lines of code
639
Activity Months1
Your Network
40 peopleShared Repositories
40
ColinRODonnellMember
Alexander C. FisherMember
ama8232@psu.eduMember
ams12447-langMember
FreeArtifactMember
connorcarpenter13Member
Dannika LoveMember
ebesheroMember
BartleyMember
Work History
January 2026
7 Commits • 2 Features
Jan 1, 2026January 2026 for newtfire/textAnalysis-Hub: Delivered a scalable SVG Visualization Framework and XSLT-driven visualizations for sales data and XML content, including asset management. Implemented Customizable SVG Smiley Visualizations with configurable attributes (face, eyes, mouth, hat) to represent emotions or events. These efforts establish a reusable visualization pipeline, enabling faster analytics iterations and clearer data storytelling across reports and dashboards.
7 Commits • 2 Features
Jan 1, 2026January 2026 for newtfire/textAnalysis-Hub: Delivered a scalable SVG Visualization Framework and XSLT-driven visualizations for sales data and XML content, including asset management. Implemented Customizable SVG Smiley Visualizations with configurable attributes (face, eyes, mouth, hat) to represent emotions or events. These efforts establish a reusable visualization pipeline, enabling faster analytics iterations and clearer data storytelling across reports and dashboards.
January 2026
Activity
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Quality Metrics
Correctness97.2%
Maintainability94.2%
Architecture94.2%
Performance94.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptSVGXMLXSLT
Technical Skills
SVGSVG GenerationSVG graphicsXMLXML ProcessingXSLTdata visualizationfront end developmentgraphic design
Repositories Contributed To
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