brucejczhang / Toronto_Crimes_By_Neighborhood

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Haoan peer review #4

Open s1lentw opened 1 month ago

s1lentw commented 1 month ago

Opening Statement Summary: The paper looks at crime rates in different Toronto neighborhoods to see if people's feelings of safety match the actual data. It also examines how different types of crimes, like assault and theft, impact how safe people feel. The paper discusses what the data means for real-life safety concerns in the city.

Strong Positive Points: The topic is very interesting and important because it focuses on a real issue—how safe people feel in different neighborhoods. The graphs and models in the paper are really well-done and make it easy to see the differences in crime rates between areas. The visuals clearly support the paper's points and help the reader understand the data.

Critical Improvements Needed: The paper could explain the methods used to analyze the crime data in more detail. It would also be helpful to talk about why some neighborhoods have more crime and what factors might cause that. Adding this would give readers a better understanding of the findings.

Suggestions for Improvement:

  1. Include more details about how the data was collected and analyzed. 2. Discuss reasons why certain neighborhoods may have higher crime rates, such as social or economic factors. 3. Go further into how the findings might be used to improve neighborhood safety. Please Consider Adding/Changing/Removing:
  2. Use examples of neighborhoods with high or low crime rates to make the data feel more relatable.2. Mention any weaknesses in the data to give a more complete view of the analysis.

Evaluation: The paper is well-organized, and the topic is interesting and relevant. The graphs and models are a strong point, making the findings easy to follow. More explanation of the methods and reasons behind the crime differences would improve the overall depth.

Estimated Mark: 85 out of 100.

Reason: The paper covers an important topic with clear visuals, but it needs more detail about how the data was handled and why crime rates differ between neighborhoods. very good work.