Open amichaelsen opened 2 years ago
Some of the topics while looking at the data dictionary
For comparisons over time there are two options:
Questions:
Note: The FiveThiryEight analysis excludes people whose total earnings (not income) was negative. This seems to mostly include people with low income who are categorized as "self employed". I'm not sure if those people should be excluded in our analysis, we could try both or discuss which option is more appropriate.
Also, some fields when considered in a single year have very few graduates (e.g. petroleum engineering!) and these tend to give high variance (seen as both the highest and lowest earning groups). We could either group majors (by major category or a smaller subset) or eliminate majors with less than 10 (or some other cut off) people in the sample (note: 75% of majors from 2018 had at least 33 people, so 10+ should capture most majors)
Other articles dealing with data:
This issue is for brainstorming possible analysis topics.