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sophiabrothers1 / marathonfinishers

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Peer Review 4 #4

Closed Karrrrmen closed 1 day ago

Karrrrmen commented 1 week ago

1. Summary

This study examines marathon finishing times to identify factors that influence performance. By employing a linear regression model, the analysis explores the relationship between finishing time and variables such as age, gender, country, and prior race experience. The model quantifies the effects of these predictors, offering insights into the determinants of marathon outcomes and providing a comprehensive understanding of trends in athletic performance.

2. Positive Aspects

  1. The appendix and survey are detailed and thorough.
  2. The visualizations, particularly the plots, are intuitive and significantly enhance the understanding of the analysis.
  3. The methodology is well-documented, making the approach easy for readers to follow.

3. Areas for Improvement

  1. Remember to complete the LLM and README file, and also include sketches.
  2. The introduction section should reference articles to better explain why the predictor variables were chosen.

4. Suggestions for Improvement

  1. The title will be more informative if be more concise.
  2. It would be better if provide more insights in Additional Tables & Figures.
  3. Address the high RMSE in the "Limitations of the Model" section.

5. Evaluation

R/Python cited (1/1 pts): cited Data cited (1/1 pts): cited Class paper (1/1 pts): no indication of class paper LLM documentation (0/1 pts): missing LLM in Readme Title (1/2 pts): It could be more concise Author, date, and repo (2/2 pts): present in paper Abstract (4/4 pts): abstract is included and appropriate Introduction (3/4 pts): lack of involving aritcles Estimand (1/1 pts): included Data (10/10 pts): clear, details all variables used Measurement (4/4 pts): Impressive measurement explanation! Model (10/10 pts): justifies model and explains all coefficients, etc Results (9/10 pts): great! Discussion (10/10 pts): the discussion is very in depth- Prose (6/6 pts): words are carefully selected Cross-references (1/1 pts): present Captions (1/2 pts): could be clearer Graphs/tables/etc (4/4 pts): great Surveys, sampling, and observational data appendix (10/10 pts): your survey is in detailed Referencing (4/4 pts) Commits (2/2 pts) Sketches (0/2 pts): missing Simulation (4/4 pts): great simulation tests (4/4 pts): great Parquet (1/1 pts): present Reproducible workflow (4/4 pts): great Enhancements (4/4 pts): great! Miscellaneous (3/3 pts): shiny app is very impressive!

6. Estimated overall mark

105 out of 112.

7. Any other comments

This project is a commendable attempt at analyzing and predicting trends in housing prices. The insights provided were engaging, and the visualizations were clear and informative. There are only a few critical areas that need refinement, with most suggestions being minor adjustments to enhance the clarity and structure of the report. Overall, it’s a well-executed piece of work—great job!

sophiabrothers1 commented 1 day ago

Thank you for the feedback! I added a readme, sketches, and my llm history. I also expanded more on the introduction and revised my title/subtitle.