Developed and integrated a new genetic dataset input for the LiLabAtVT/I2GDS2024 repository to support R Studio-based analytics and visualizations. The work involved curating and formatting gene presence or absence data into a structured CSV file, enabling immediate use in downstream analysis workflows. Leveraging data management skills and version control practices, the developer ensured all changes were fully trackable and reproducible through a single commit. By providing a standardized input format, the contribution streamlined gene-level analysis in R Studio, demonstrating attention to reproducibility and repository organization. The work focused on data curation, CSV handling, and integration with analytics pipelines.