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aakash2002 / study_of_ttc_streetcar_delays

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Peer Review #2

Closed Akshat211202 closed 2 weeks ago

Akshat211202 commented 2 weeks ago

Opening statement summary I am reviewing the paper titled "Annual Analysis of Delays in TTC Streetcars for the year 2023" by Aakash Vaithyanathan. This paper explores the delays that occurred in the TTC in 2023. It investigates how much these delays affected the local population and whether there was anything that could be done to improve these delays.

Strong positive points The introduction section is detailed and clearly outlines why this paper is important. The graphs in the results section are informative and their analysis is really descriptive.

Critical improvements needed

• Abstract: The abstract is not present and the abstract from the template is being used. • Introduction: The sections are not properly linked in the introduction and more information could be added to describe the structure of the paper. • Dataset Description: This section is also empty and need more information. • Results: The analysis of the graphs could be improved by added more minute details. Also, figures 4 and 5 are not addressed in the results section. • Discussion: The discussion section is also empty and needs more information. • References: There is no citation of R. • There are no sketches and LLM usage has not been documented. • Readme has also not been updated.

Suggestions for improvement Citation of R and documenting LLM usage are essential and should be done first. All the sections that are missing should be filled out. The graphs should be analyzed properly instead of just stating what they show.

Evaluation:

  1. R is cited: 0
  2. LLM usage is documented: 0
  3. Title: 2
  4. Author, Date and repo: 2
  5. Abstract: 0
  6. Introduction: 2.5
  7. Data: 0
  8. Measurement: 0
  9. Cross Referenced: 1.5
  10. Prose: 4
  11. Graphs/tables: 3
  12. Referencing: 1
  13. Commits: 1
  14. Sketches: 0
  15. Simulation: 3
  16. Tests: 2
  17. Reproducibility: 0
  18. Code style: 1

Estimated mark: 0/64

Reason:

According to the rubric if R is not cited or LLM usage is not documented, then the paper would be given 0.

aakash2002 commented 2 weeks ago

Thanks for the review. I've updated the repo to reflect this!