Worked on the UCL/TLOmodel repository to enhance demographic data visualization by implementing a feature that ensures consistent age-group ordering in plots. Addressed the challenge of unreliable demographic visuals by sorting population data by age group before plotting and reindexing the 'num_by_age' variable to match predefined categories. This approach improved the accuracy and repeatability of demographic reports, supporting more reliable downstream analytics. Utilized Python for data analysis and data visualization tasks, focusing on aligning data structures with reporting standards. The work contributed to more trustworthy demographic outputs, facilitating better decision-making based on stable and clearly ordered visual representations.