Code peer review

[lakshmineharika]

The following is the peer review of the project code by [datavista]. The team members that participated in this review are

Abhishek Kumar, MS in Data Science - @Abhi291712

Noureen Mithaigar, MS in information science - @musketer26

Akash Srinivasan, MS in Data Science - @AkashSrinivasan12

Lakshmi Neharika Anchula, MS in Data Science - @lakshmineharika

Gowtham Theeda, MS in Data Science - @gowthamtheeda

Divya Liladhar Dhole, MS in Data Science - @Divyadhole

1. Purpose of Code

• [ ] Clearly defined and understood
• [ ] Ambiguous or unclear

The code is used to create a Shiny app that lets users explore cricket statistics interactively. By using this we can compare player and team performances over different seasons and see key partnerships among them through charts and tables. The code is clear and understandable. There is no data preprocessing steps,and labels to chunks

---

2. Code Quality

• [ ] Code is clean, readable, and well-organized
• [ ] Adequate comments explaining complex or tricky code sections
• [ ] Variables, methods, and classes have meaningful names
• [ ] Consistent code style (indentation, naming conventions, etc.)

The code is clean, well-organized, and includes a sufficient number of comments. However The variables have meaningful names, and the overall code style is consistent, with appropriate naming conventions.

3. Documentation

• [ ] Code documentation (e.g., comments) is sufficient
• [ ] Readme or other documentation updated if necessary

code documentation is sufficient.

---

4. Best Practices

• [ ] No hardcoded values; constants used appropriately
• [ ] Security and privacy concerns addressed (e.g., no sensitive data exposed)
• [ ] Code avoids repetition and promotes reusability

There is no hard coded variables,No such security concern is seen in the data,no repetition is seen as such.

---

5. Additional Comments

• Please provide feedback, areas of improvement, or other observations. overall code looks good and systematic,but they have not provided the data labels.

6. Recommendation

• [ ] Approved - ready to be merged
• [ ] Approved with minor issues - can be addressed later
• [ ] Requires changes - provide feedback and request another review.

Approved with minor issue- can be addressed later.

---

[NandhiniAnne]

Thanks for your feedback!!!!