data_raw/README.md

In jillymackay/nss: Standardised data from the National Student survey

About data_raw

Before I build this package, I run the code files which are stored in this data_raw folder. This is the code which generates the nss object, and the nss object is then built by the package.

When you download the package, your machine does not need to build anything, but should be able to find the documented nss object.

If you want to know how the nss sausage gets made, you can recreate the process by downloading the following files and running the code in this folder yourself.

data_raw/

• NSS_taught_all12.xlsx (NB - renamed file from HEFCE download)

• NSS_taught_all12.xlsx

• NSS_taught_all_14-new.xlsx

• NSS_taught_all15.xlsx

• NSS_taught_all16.xlsx

• NSS_taught_all17.xlsx

• NSS_taught_all18.xlsx

• NSS_taught_all19_CAH.xlsx

• NSS_taught_all20_CAH.xlsx

• NSSFullTime1_candidate11.xls (NB-renamed file from HEFCE download)

• NSSFullTime2_candidate11.xls (NB-renamed file from HEFCE download)

• NSSFullTime08.xls (NB-renamed file from HEFCE download)

• NSSFullTime109.xls (NB-renamed file from HEFCE download)

• NSSFullTime110.xls (NB-renamed file from HEFCE download)

• NSSFullTime209.xls (NB-renamed file from HEFCE download)

• NSSFullTime210.xls (NB-renamed file from HEFCE download)

data_raw/data_LP

NB: This data downloaded from http://learning-provider.data.ac.uk/

• 1994_Group.csv

• ABSA.csv

• Cathedrals_Group.csv

• GW4.csv

• Million_Plus.csv

• N8_Research_Partnership.csv

• NCUK.csv

• Oxbridge.csv

• Russell_Group.csv

• Science_and_Engineering_South.csv

• University_Alliance.csv

• White_Rose_University_Consortium.csv

This data from https://www.hesa.ac.uk/innovation/hecos

• HECoS-CAH Version 1.1.xlsx

jillymackay/nss documentation built on July 17, 2020, 2:19 a.m.