College_Scorecard_Accessibility

Measuring the accessibility of colleges and universities to low-income students

Project by: Justin Harder-Tienken, Ashley Brockway, Manda Bucklin

Using the College_Scorecard Dataset, we wanted to find schools that were most accessible to low-income students. We focused on the years '09-'18 and filtered for schools who were in each year. We then created a function that measured the "burden" that was placed on each income group (which ranged from $0-30k to $110k+. Then, we evaluated the schools that placed low burdens on the low-income students.

Files

• filtered_all_years.csv - the csv we primarily used for our project after filtering original data using sep_sheets.py
• some_function_testing.rmd - file used to view variance and burden of schools on low-income students