Vis4Sense/student-projects
Nov 2024 – Nov 2024
1 Month active
Languages Used
Markdown
Technical Skills
Asset ManagementData VisualizationDocumentationSentiment AnalysisTechnical Documentation
Manas
PROFILE
Manas
During November 2024, Psymm11 developed a crypto market analysis dashboard for the Vis4Sense/student-projects repository, focusing on asset management and data visualization. They created and organized a comprehensive suite of image assets, including market data visualizations, sentiment analysis results from news and social media, and portfolio visuals. Using Markdown for technical documentation, Psymm11 improved asset paths and documentation to streamline dashboard development and enhance user-facing presentations. Their work integrated Reddit sentiment data and training visualization assets, supporting analytics workflows and stakeholder training. The depth of the contribution lay in the careful structuring of assets and documentation to enable richer, maintainable dashboards.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
1
Lines of code
57
Activity Months1
Your Network
21 peopleSame Organization
@nottingham.ac.uk10
Work History
November 2024
7 Commits • 1 Features
Nov 1, 2024In November 2024, Vis4Sense/student-projects delivered a feature-rich crypto market analysis dashboard visuals and sentiment assets. The work focused on creating image assets, documentation, and pipelines to support dashboards, sentiment analysis results from news/social, portfolio visuals, Reddit integration, and training visualization assets. Asset organization was improved with updated asset paths, enabling richer, user-facing visuals for dashboards and presentations. This accelerates dashboard development, improves storytelling with data, and strengthens training materials for stakeholders.
7 Commits • 1 Features
Nov 1, 2024In November 2024, Vis4Sense/student-projects delivered a feature-rich crypto market analysis dashboard visuals and sentiment assets. The work focused on creating image assets, documentation, and pipelines to support dashboards, sentiment analysis results from news/social, portfolio visuals, Reddit integration, and training visualization assets. Asset organization was improved with updated asset paths, enabling richer, user-facing visuals for dashboards and presentations. This accelerates dashboard development, improves storytelling with data, and strengthens training materials for stakeholders.
November 2024
Activity
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Quality Metrics
Correctness97.2%
Maintainability97.2%
Architecture97.2%
Performance94.2%
AI Usage25.8%
Skills & Technologies
Programming Languages
Markdown
Technical Skills
Asset ManagementData VisualizationDocumentationSentiment AnalysisTechnical Documentation
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