Guide to files:

1. Analysis_Clean.r

This is the main work file where the analysis of the dataset was undertaken.

2. preprocessDataset.py

This is a small file that was used to remove the rows with missing data from the dataset, the output of this file is 'application_data_remove_na.csv' which is the dataset over which all the analyses of Analysis_Clean.r are done. This process was done in python since it better lends itself to these applications rather than R.

3. img folder

This folder contains all the plots that have been used in the pdf.

4. Stats_Project.pdf

This file summarises the studies all of the analyses that were done. The source file is Stats_Project.tex.

5. columns_description.csv

csv file containing a description of all the columns in application_data.csv.

6. application_data.csv

csv file containg the original dataset.

7. application_data_remove_na.csv

csv file obtained from application_data.csv which was used for the analyses in Analysis_Clean.r.