Worked on the columnflow/columnflow repository to enhance the accuracy and reliability of data visualizations used in stakeholder dashboards. Focused on Python programming and data visualization, the main contribution involved correcting a bug in the plotting logic to ensure the Y-axis label accurately reflected the underlying variable. This targeted fix addressed a typo in the ylabel assignment, preventing potential misinterpretation of charted data. The approach maintained release stability by limiting changes to the specific issue, with no feature regressions introduced. Through careful attention to detail, the work preserved user trust in the visual outputs and supported ongoing data-driven decision-making.