Assignment 03 – Creating a data analysis report
This is a group assignment. Continue with the research question you had chosen in class.
Use AI iteratively to help you create a report.
First run
- Think in terms of two variables (\(x\) and \(y\)).
- Pick a single variable or a combined index of variables
- Pick a GDP variable
- Think about a causal link.
- Create one carefully designed graph to illustrate the relationship (Graph 1)
- At each step, explain your choices/decisions (ie why you chose a certain variable)
- Create a Conclusion paragraph where you summarize your work and results in 80-100 words.
- create another graph to show heterogeneity of country size groups using population (Graph 2)
- Run a regression and interpret the coefficient. Make sure they are precise.
- Use AI to get a well cratfted folder structure
Extended context window run 1
- create a system prompt will preferences, expected output, style, etc
- recreate a the report
Extended context window run 2
- Once you have a draft, Upload slideshow for chapters 10 data analysis slides. and ask to follow it and revise report.
- recreate a the report
Final repor
- You have three versions. Use them to have a single one you like the most. Edit further if needed.
To submit
- report of maximum 2 pages in .pdf format (including exhibits) (lastname_firstname_dawai_week03_report.pdf) (12p)
- your code (or provide a link). (2p)
- Text: What advice would you give to a fellow data analysis student on using AI to create a report? (How do various runs compare? What changes are decisive? How many iterations and useful?) (lastname_firstname_dawai_week03_advice.txt) (6p).
- Upload your report to the
student folder called Reportsat moodle or similar service if applicable. This is for the next class — each group will read another groups report and discuss the good and bad aspects of the report.
AI use restrictions
- For the report, use AI as your assistant, use it as input not as output. Don’t submit an AI-generated report without review and edit.
- Do not use AI to help you generate the advice. We want to hear your personal examples and reflections, not AI-generated suggestions.