I am presenting with you a real data analysis task. The research question you need to answer is “What factors influence the income recent college graduates earn?”.
Using any of the materials available, guide me through the process of how you would go about answering the research question. Feel free to write, draw, or do anything else to communicate effectively.
Again, to remind you, this is not a hypothetical question. This is a real question and your process should reflect what you would do with this real data.
Headers for recent-grads.csv are shown below:
| Header | Description |
|---|---|
Rank |
Rank by median earnings |
Major_code |
Major code, FO1DP in ACS PUMS |
Major |
Major description |
Major_category |
Category of major from Carnevale et al |
Total |
Total number of people with major |
Sample_size |
Sample size (unweighted) of full-time, year-round ONLY (used for earnings) |
Men |
Male graduates |
Women |
Female graduates |
ShareWomen |
Women as share of total |
Employed |
Number employed (ESR == 1 or 2) |
Full_time |
Employed 35 hours or more |
Part_time |
Employed less than 35 hours |
Full_time_year_round |
Employed at least 50 weeks (WKW == 1) and at least 35 hours (WKHP >= 35) |
Unemployed |
Number unemployed (ESR == 3) |
Unemployment_rate |
Unemployed / (Unemployed + Employed) |
Median |
Median earnings of full-time, year-round workers |
P25th |
25th percentile of earnigns |
P75th |
75th percentile of earnings |
College_jobs |
Number with job requiring a college degree |
Non_college_jobs |
Number with job not requiring a college degree |
Low_wage_jobs |
Number in low-wage service jobs |