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saehahyi

PROFILE

Saehahyi

During November 2024, Shyi developed and integrated a new genetic dataset for the LiLabAtVT/I2GDS2024 repository to support R Studio-based analytics. Shyi curated and formatted the arg_pre_abs.csv file using data management skills and CSV handling, structuring it to represent gene presence or absence across isolate IDs. This dataset was version-controlled and committed to the repository, ensuring reproducibility and auditability for downstream workflows. By providing a clean, structured input for R Studio, Shyi enabled immediate gene-level analysis and visualization. The work demonstrated careful data curation and repository management, though the scope was focused on a single feature without bug fixes.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
7
Activity Months1

Work History

November 2024

1 Commits • 1 Features

Nov 1, 2024

Monthly summary for 2024-11 focusing on key deliverables, impact, and technical accomplishments for LiLabAtVT/I2GDS2024. Key feature delivered this month: added a new genetic dataset input for R Studio analysis to streamline downstream analytics and visualizations. All changes are trackable via a single commit reference, ensuring reproducibility and auditability.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

CSV

Technical Skills

Data Management

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

LiLabAtVT/I2GDS2024

Nov 2024 Nov 2024
1 Month active

Languages Used

CSV

Technical Skills

Data Management

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