crypdick/college-outcomes

college-outcomes

Data

https://collegescorecard.ed.gov/data/ Official report: Using Federal Data to Measure and Improve the Performance of US Institutions See also: the dictionary in the Data/ folder

Use fread from data.read table in R

Income after graduation, look at info differences relative to input (of before coming into college)

Format Rmarkdown, html, pdf report Guide for weighting it Post-processed data file Reproducible from info in the folder

Variables

Region

Admission rate

SAT score

ACT score

Majors

Degree types (one-year certificate, associate, award of more than two less than four years, bachelor, distance-education)

Race (white, black, hispanic, asian, american indian, native hawaiian, two or more races, non-resident aliens, etc.)

Work status: part time

Net price (for institutions)

Income level for students’ family

Year of institution

Faculty salary, full-time or not

Pell grant

Completion rate

Adjusted cohort count

Death

Transfer

dependent or independent student

Gender of student

Withdrawal rate

Federal loan

First-generation students or not

Questions

Who completed within 4 years at original institution, men or women FEMALE_COMP_ORIG_YR4_RT MALE_COMP_ORIG_YR4_RT

Compare ncf to other colleges

Compare average net price for different family income groups. (Who pays more for school) (net price for institutions? ~ Income level for students' family) NULL data

Ask questions where we manipulate data (not a perfect x or y variable) combination of variables.

Heap Map

college-outcomes's Issues

Create combined categories from several columns

This is a requirement highlighted in the pdf prof. Ty shared

import df with all data

graph year vs num rows

make covariance and/or correlation matrix comparing features

look at New College statistics

select row corresponding to NCF. see how values compare to population means. addresses #11

when is this due?

create 1 graphic

identify and display relationships of interest

graph 2d grid years and NA% of each feature

write introduction

preamble
hype up the story

Aggregate summary statistics from factor levels in several columns

For all FIU students whats the median mode range etc. filter for specific characteristics, graduation rate per x,y,z demographic.

dplyr resources

http://dplyr.tidyverse.org/reference/filter.html

drop cols with too many NaN values