aamishi / torontocitybikesanalysis

TorontoCityBikes

Overview

oiejoiereire

Statement on LLM usage: Aspects of the code were written with the help of ChatGPT3.5. The entire chat history with the LLM is available in inputs/llms/usage.txt.

File Structure

This repository is structured as follows:

• input/data stores all the data that is used in the paper formatted as parquet files
• outputs/data stores the cleaned data was generated from the raw data
• outputs/paper stores the files used to produce the paper. Includes the Quarto file and its PDF version as well as the reference bibliography file
• scripts contains the R scripts used to download, clean, simulate, and test data used in this paper

torontocitybikesanalysis's Issues

Peer Review of Toronto City Bikes Analysis

Peer Review #1

Rubric Assessment

• LLM usage documented: A statement about whether LLMs were used has not been included in the README.
• Title: The title is well written.
• Author, date, and repo: They are clearly included.
• Abstract: The abstract is very well written.
• Introduction: It can be improved by adding why this is important at the end. Otherwise good job with the introduction!
• Data: Not exceptional but it can be improved by adding an explanation of the variables and features in the table and two bar graphs.
• Measurement: Needs to be added to the report
• Cross-references: well-written
• Prose: Some minor grammer problem was noticed in "which age group and gender is most impacted?" in introduction. "who serve the homeless and under-housed communities can submit reports of deaths,the City of Toronto’s Shelter," in data and "A note on the gender variable: the cause of death for transgender people or other genders were not a part of this dataset," in data.
• Graphs/tables: You can use captions and sub-captions for the figures to provide a clear purpose in your paper.
• Reference List: The references list is not seen in paper.pdf, please add that.
• Commit: There are in total 12 commits seen till when I was reviewing the paper, which is exceptional.
• Sketches: well-written
• Simulation: update scripts/03-test_data.R
• Reproducibility: Write your own README file by adding LLM statement here. Otherwise, well organized repo!
• Code Style: Well-written

General Notes

• The usage of LLMs needs to be documented in the README
• It's crucial to enhance the introduction by addressing the significance of the research. The data section could benefit from providing a clearer explanation of variables and features, and the measurement aspect needs to be added to the report.
• Minor grammatical issues were identified in various sections, such as the introduction and data paragraphs.
• Ensure the reference list is included in the paper.pdf.
• Your commitment to the project, as evidenced by the 12 commits, is commendable!
• Don't forget to update the scripts/03-test_data.R for simulation purposes and the README.md for reproducibility.

Despite these suggestions, your paper is well-organized with a strong title, abstract, and repository structure. Keep up the good work!