Yifan Chen enhanced the DUNE/ndlar_flow repository by developing dynamic data visualization features using Python and scientific computing techniques. He refactored plotting functions to leverage geometry attributes from input data, enabling more accurate and adaptable 2D visualizations that respond to detector bounds. The updates included improvements to beam arrow text and 2D charge plot ranges, ensuring that visual outputs reflect the underlying detector geometry. Additionally, Yifan improved the reliability of IO group iteration by introducing unique identifiers. His work focused on maintainability and extensibility, laying a solid foundation for future analytics and visualization capabilities within the codebase.