Worked on the FNLCR-DMAP/spac_datamine repository to deliver a feature enhancing histogram visualizations by standardizing titles to include explicit data layer context. Implemented in Python, the update centralized title generation logic, ensuring consistency and maintainability across the codebase. The approach incorporated robust testing to verify that histogram titles accurately reflect the relevant data layer, supporting clearer analytics and reducing potential confusion for users analyzing layered datasets. By focusing on data visualization and testing, the work improved interpretability for analysts and laid the groundwork for future layer-aware analytics, contributing to a more reliable and user-friendly analytical environment without introducing new bugs.