This paper presents a comprehensive analysis of the Toronto Islands ferry ticket sales and redemption dataset. The analysis begins with an overview of the dataset, followed by an examination of the cleaned data. In the results section, we explore the relationship between sales and redemption data, the distribution of redemption counts, and the monthly trends in redemption activity. Based on the findings, we offer recommendations to optimize ferry operations, focusing on pricing strategies, staffing allocations, and departure schedules. The paper concludes by discussing the limitations of the analysis and identifying potential areas for future improvement.
The repo is structured as:
data/raw_data contains the raw data as obtained from X.data/analysis_data contains the cleaned dataset that was constructed.other contains details about LLM chat interactions, and sketches.paper contains the files used to generate the paper, including the Quarto document and reference bibliography file, as well as the PDF of the paper. scripts contains the R scripts used to simulate, download, clean and test data.Part of the paper, reference and code are written with the help of ChatGPT and the entire chat history is available in inputs/llms/usage.txt.