Cassieliu77
commented
1 month ago Hi David, Thank you. Based on your review, I have made a few changes:
- The Visual Readability for Figure 6: I realize the facet map may cause some difficulties to read. I have changed them to scatterplots to observe the trend between population and crime count more easily. - LLM Usage: In addition to the README.file, I also label the LLM usage in my paper. - Remove the empty Crime-Frequency folder. - Remove the checklist from the README.md file. - Remove unnecessary folders such as datasheet folders in other.
Opening statement summary
I am peer reviewing Cassie Liu's report on Crime Frequency and Population Density in Toronto. This report investigates the relationship between population density and crime frequency in Toronto, and offers policy recommendations for law enforcements and public officials. Overall, the paper presents a strong thesis, but some improvements could be made.
Strong positive points
This paper has very excellent data visualizations that includes tables, graphs, and even spatial data. (Outside small minor errors that are mentioned later on)
Strong Data section that introduces context of the Neighbourhood Crime dataset, as well as highlighting variables of interest and showing methodology behind data cleaning and analysis.
Critical improvements needed
Better labels for Figure 5: While the usage of spatial data visualization is excellent, the density of the graph makes it very difficult to read, as well as the white text on the visualization. Different color settings could be experimented with to improve the figure.
Similarly, Figure 6 is extremely dense and difficult to read. It is hard to identify certain patterns at first glance, some graphs could potentially be grouped together for simplicity.
LLM usage: LLM usage is extremely important in academic conduct and a section should be labeled as such in the paper.
Suggestions for improvement:
While all the critical improvements are listed above, here are some of the other minor changes that could be made to strengthen the research paper:
Remove Crime-Frequency folder (unnecessary and contains nothing inside?)
Remove checklist from the README.md file
Remove unnecessary folders such as datasheet folder in other
Evaluation:
Overall, the research paper shows a thorough investigation on the relationship between crime frequency and population density in Toronto. However, further improvements could be made to strengthen the research paper.
Estimated mark:
R is cited: 1/1 LLM usage is documented: 0/1 Title: 2/2 (clearly states the thesis) Author, date, repo: 2/2 (all clearly labeled) Abstract: 4/4 (offers a clear explanation about what we learn from this paper) Introduction: 4/4 (shows everything we need to know, such as context behind the data, what was done, why) Data: 10/10 (context and usage of the data is properly labeled, all variables are thoroughly examined) Measurement: 2/2 (all measurement related to the dataset is properly discussed in the data section) Cross-references: 2/2 (cross-references are present in all visualizations) Prose: 6/6 (no obvious grammar mistakes) Graphs/tables/etc: 2/4 (graphs are a little difficult to understand as mentioned above, but has varying types) Referencing: 4/4 (everything is properly referenced and cited) Commits: 2/2 (excellent usage of commits and proper commit naming conventions) Sketches: 2/2 (sketches are present in the paper and clearly labeled) Simulation: 4/4 (all variables are properly simulated) Tests: 4/4 (data and code tests are properly used) Reproducibility: 4/4 (everything is reproducible) Code style: 0/1 (not styled using lintr) General excellence: 3/3 (insightful!)
60/64 (88%) 0/64, without LLMs
Reason:
While the usage of LLMs is documented in readme.MD, it should be highlighted in the paper as well.