Preston Cobabe developed a Pandas Date and Accident Data Analysis Notebook for the byu-cce270/content repository, focusing on onboarding users to data analysis workflows in Python. Using Jupyter Notebook and Pandas, Preston implemented features for creating date ranges, extracting year, month, and day columns, and visualizing accident data. The notebook was designed as an educational resource, guiding users through practical data manipulation and visualization techniques. While the work was limited to a single feature over one month, it provided a clear, beginner-friendly introduction to core data analysis concepts, emphasizing reproducibility and accessibility for users working in Google Colab environments.