Analyzing College Major & Income Data in R
Brandon McGirl, Tyler Bluestein, Marc Richards, Bruna Silva
This is the code behind an analysis of the 538 “College Major and Income” dataset from the #tidytuesday project.
Why is this information important?
Gives future college students an idea of what jobs are making the most money
Sheds light on the gender gap in earnings between jobs
What type of data are we looing at?
Number of individuals graduating with a specific major
Number of women and men graduating within each specific major
Median income for all the jobs as well as the share of women for each job
How does gender breakdown relate to typical earnings?
Key findings:
Men dominated share of workers for Computer science and most business degrees
Women dominated share of workers for elementary education, nursing, and graphic design
Psychology was by far the most common major
Graphic Design was the least common major
Key findings:
Engineering was a top earner
Education was on the lower end of the income spectrum
Negative correlation between median earnings and share of women
Size of dot is the sample size
Color of the dot represents the major category of each major and each dot represents a different degree