In this project am exploring and visualizing earnings of college students using python's library pandas, numpy and matplotlib. The dataset used in this project 'recent_grades.csv' which is provided by FiveThirtyEight.
Each row represents different major with following attributes:
Rank - Rank by median earnings (the dataset is ordered by this column).
Major_code - Major code.
Major - Major description.
Major_category - Category of major.
Total - Total number of people with major.
Sample_size - Sample size (unweighted) of full-time.
Men - Male graduates.
Women - Female graduates.
ShareWomen - Women as share of total.
Employed - Number employed.
Median - Median salary of full-time, year-round workers.
Low_wage_jobs - Number in low-wage service jobs.
Full_time - Number employed 35 hours or more.
Part_time - Number employed less than 36 hours.