I liked that the simulation provided a realistic experience of working on a data-driven project. It helped me understand how to clean raw data, process it using Python and Pandas, and create an interactive dashboard using Dash. The step-by-step tasks improved my understanding of data visualization and software development workflow.

I liked that the simulation provided a realistic experience of working on a data analytics project. It helped me practice setting up a development environment, using Git and GitHub, and working with Python and Dash. The tasks were practical and gave me a better understanding of the workflow used in a professional setting.

The step‑by‑step structure kept the focus clear and made it easy to see how each piece (data cleaning, Dash app, testing, CI) fits together. Requiring both functional correctness and visual polish pushed me to think about real‑world user experience, not just code that works. The optional bonus task of adding a CI script felt natural and gave a nice sense of “finishing the pipeline”.