This project is focused on analyzing sales and redemption ticket data from the Toronto Islands Ferry Service, through the time period of January 2018 to September 2024. The project aims to analyze consumer behavior, seasonality, and the effects of external events, such as the COVID-19 pandemic, on ferry usage and hence, on the popularity of Toronto Islands. Being the sole mode of transport to the islands, the ferry service plays a large role in local tourism and recreation, and has broader implications for operational strategies, policy making, and contingency planning.
Through visualizations and data analysis, this project can offer insights that can benefit business owners, government officials, and the public in optimizing the ferry service.
Data/Raw_Data contains the raw data as obtained from Open Data Toronto.
Data/Analysis_Data contains the cleaned data set that was constructed as well as the simulated data.
Other contains the planning and sketching for the project, along with details about LLM chat interactions.
Papercontains the files used to generate the paper, including the Quarto document and reference bibliography files, along with the PDF of the paper.
R_Scripts contains the R scripts used to simulate, download, clean, and test data.
Some challenges and troubleshooting issues were addressed with the use of ChatGPT-4o mini. Instances where code from Chat GPT was used are identified in the Other/LLMs folder.