Chapter: Data Tidying from Data Science with R by Garrett Grolemund
Online Course: DataCamp Cleaning Data in R. This course has some useful videos. If you sign-up for a DataCamp account, then it looks like you can do up to 9 courses for free.
Book: An Introduction to Data Cleaning with R by de Jonge and van der Loo. This is a short book (less than 50 pages) that might be very helpful for us. We should read this as we work on cleaning our data.
Data: U.S. Dept. of Education Campus Safety & Security Website.
Book: Handbook for Campus Safety and Security Reporting - This should have all of the information about what the Clery data means.
Why did Longwood's violations drop around 2010?
Why are the drug arrests vs. drug violations numbers so different for HSC and other schools? Is it because better enforcement of campus drug policy leads to fewer arrests?
Did VA drug enforcement change (b/c of the Attorneys General), and can we see that in the data, especially compared with other states?
How do we know that aren't double counting if we combine on-campus, noncampus, and public property violations into one data frame?
Why did Roanoke's drug and liquor violation numbers drop so much in the last 5 years? Also, why do they correlate so well with HSC's numbers? Is that a coincidence?
Hampden-Sydney has some obviously drastic activity, what is going on here and what is this sharp decline after 2012-2014 due to?
Why is there such a difference in violations vs arrests? - back to the threshold and has anything changed? What happened with HSC arrests????