Worked on the PyPSA/PyPSA repository to address notebook-level issues affecting data visualization and analysis reproducibility. Focused on correcting plotting parameters and refining grouping logic within Jupyter Notebooks, ensuring that visual outputs accurately reflected the intended analytics for downstream reporting. Updated notebook metadata to maintain compatibility with newer Python versions, which improved environment consistency and runtime reliability. Adjusted groupby arguments and parameter names for line and link widths, aligning visualizations with analytical requirements. Leveraged skills in Python, data visualization, and notebook development to deliver targeted bug fixes, enhancing the clarity and accuracy of key plots without introducing new features during the period.